


"""simple docstring"""







from typing import TYPE_CHECKING

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


__lowercase          = {
    """configuration_open_llama""": ["""OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """OpenLlamaConfig"""],
}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowercase          = ["""LlamaTokenizer"""]

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowercase          = ["""LlamaTokenizerFast"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowercase          = [
     """OpenLlamaForCausalLM""",
     """OpenLlamaModel""",
     """OpenLlamaPreTrainedModel""",
     """OpenLlamaForSequenceClassification""",
 ]


if TYPE_CHECKING:
 from .configuration_open_llama import OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenLlamaConfig

 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from transformers import LlamaTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from transformers import LlamaTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_open_llama import (
      OpenLlamaForCausalLM,
      OpenLlamaForSequenceClassification,
      OpenLlamaModel,
      OpenLlamaPreTrainedModel,
  )


else:
 import sys

 __lowercase          = _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










"""simple docstring"""







def 	lowercase     (							A_ = 100    ,  A_ = 100			)-> int:
  '''simple docstring'''







  return max(
      sum(int(A_			) for x in str(base**power			)			)
      for base in range(A_			)
      for power in range(A_			)			)


# Tests
if __name__ == "__main__":
 import doctest

 doctest.testmod()






