
from typing import TYPE_CHECKING

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


_A :    Optional[int]   =			{
    "configuration_mvp": ["MVP_PRETRAINED_CONFIG_ARCHIVE_MAP", "MvpConfig", "MvpOnnxConfig"],
    "tokenization_mvp": ["MvpTokenizer"],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A :    List[str]   =			["MvpTokenizerFast"]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A :    str   =			[
       "MVP_PRETRAINED_MODEL_ARCHIVE_LIST",
       "MvpForCausalLM",
       "MvpForConditionalGeneration",
       "MvpForQuestionAnswering",
       "MvpForSequenceClassification",
       "MvpModel",
       "MvpPreTrainedModel",
   ]

if TYPE_CHECKING:
   from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
   from .tokenization_mvp import MvpTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_mvp_fast import MvpTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mvp import (
          MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
          MvpForCausalLM,
          MvpForConditionalGeneration,
          MvpForQuestionAnswering,
          MvpForSequenceClassification,
          MvpModel,
          MvpPreTrainedModel,
      )

else:
   import sys

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



from __future__ import annotations



def 						lowercase_      (       A__			,		A__			,		A__		)							->							int | float:
    """simple docstring"""

    if len(A__		) == 0:
        raise ValueError("find_max() arg is an empty sequence"		)
    if (
        left >= len(A__		)
        or left < -len(A__		)
        or right >= len(A__		)
        or right < -len(A__		)
    ):
        raise IndexError("list index out of range"		)
    if left == right:
        return nums[left]
    snake_case								= (left + right) >> 1  # the middle
    snake_case								= find_max(A__			,		A__			,		A__		)  # find max in range[left, mid]
    snake_case								= find_max(A__			,		mid + 1			,		A__		)  # find max in range[mid + 1, right]

    return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
   import doctest

   doctest.testmod(verbose=True)

