
from __future__ import annotations


def 							a__					(							snake_case       ,			snake_case       ,			snake_case       ,			snake_case							):  # noqa: E741





  """simple docstring"""
  while r - l > 1:
    __SCREAMING_SNAKE_CASE      :	Optional[int]					=		(l + r) // 2
    if v[m] >= key:
      __SCREAMING_SNAKE_CASE      :	int					=		m
    else:
      __SCREAMING_SNAKE_CASE      :	Dict					=		m  # noqa: E741
  return r


def 							a__					(							snake_case							):





  """simple docstring"""
  if len(SCREAMING_SNAKE_CASE_							) == 0:
    return 0

  __SCREAMING_SNAKE_CASE      :	List[Any]					=		[0] * len(SCREAMING_SNAKE_CASE_							)
  __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		1

  __SCREAMING_SNAKE_CASE      :	List[str]					=		v[0]

  for i in range(1       ,			len(SCREAMING_SNAKE_CASE_							)							):
    if v[i] < tail[0]:
      __SCREAMING_SNAKE_CASE      :	Tuple					=		v[i]
    elif v[i] > tail[length - 1]:
      __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		v[i]
      length += 1
    else:
      __SCREAMING_SNAKE_CASE      :	Optional[int]					=		v[i]

  return length


if __name__ == "__main__":
   import doctest

   doctest.testmod()

'''simple docstring'''


from typing import TYPE_CHECKING

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


__snake_case						  =		{
    """configuration_gpt_neox_japanese""": ["""GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTNeoXJapaneseConfig"""],
    """tokenization_gpt_neox_japanese""": ["""GPTNeoXJapaneseTokenizer"""],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __snake_case						  =		[
           """GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """GPTNeoXJapaneseForCausalLM""",
           """GPTNeoXJapaneseLayer""",
           """GPTNeoXJapaneseModel""",
           """GPTNeoXJapanesePreTrainedModel""",
       ]


if TYPE_CHECKING:
       from .configuration_gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
       from .tokenization_gpt_neox_japanese import GPTNeoXJapaneseTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_gpt_neox_japanese import (
                  GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GPTNeoXJapaneseForCausalLM,
                  GPTNeoXJapaneseLayer,
                  GPTNeoXJapaneseModel,
                  GPTNeoXJapanesePreTrainedModel,
              )


else:
       import sys

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

