




'''simple docstring'''







def 					lowerCamelCase__							(			__lowercase    ,      __lowercase    ,      __lowercase    ,      __lowercase							):
     if start == end:
          return start if lst[start] > item else start + 1
     if start > end:
          return start

     snake_case :			Tuple					   = (start + end) // 2
     if lst[mid] < item:
          return binary_search(__lowercase    ,      __lowercase    ,      mid + 1    ,      __lowercase							)
     elif lst[mid] > item:
          return binary_search(__lowercase    ,      __lowercase    ,      __lowercase    ,      mid - 1							)
     else:
          return mid



def 					lowerCamelCase__							(			__lowercase							):
     snake_case :			Optional[Any]					   = len(__lowercase							)

     for index in range(1    ,      __lowercase							):
          snake_case :			Tuple					   = lst[index]
          snake_case :			int					   = binary_search(__lowercase    ,      __lowercase    ,      0    ,      index - 1							)
          snake_case :			Any					   = lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]

     return lst



def 					lowerCamelCase__							(			__lowercase    ,      __lowercase							):
     if not left:
          return right

     if not right:
          return left

     if left[0] < right[0]:
          return [left[0], *merge(left[1:]    ,      __lowercase							)]

     return [right[0], *merge(__lowercase    ,      right[1:]							)]



def 					lowerCamelCase__							(			__lowercase							):
     snake_case :			List[str]					   = len(__lowercase							)
     snake_case   ,		snake_case :			Optional[int]					   = [], []
     snake_case :			Optional[int]					   = [lst[0]]
     snake_case :			List[Any]					   = []
     snake_case :			Union[str, Any]					   = 1
     while i < length:
          if lst[i] < lst[i - 1]:
               runs.append(__lowercase							)
               snake_case :			List[Any]					   = [lst[i]]
          else:
               new_run.append(lst[i]							)
          i += 1
     runs.append(__lowercase							)

     for run in runs:
          sorted_runs.append(insertion_sort(__lowercase							)							)
     for run in sorted_runs:
          snake_case :			List[str]					   = merge(__lowercase    ,      __lowercase							)

     return sorted_array



def 					lowerCamelCase__							(			):
     snake_case :			List[str]					   = [5, 9, 10, 3, -4, 5, 178, 92, 46, -18, 0, 7]
     snake_case :			List[str]					   = tim_sort(__lowercase							)
     print(__lowercase							)


if __name__ == "__main__":
      main()









'''simple docstring'''







from typing import TYPE_CHECKING

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


lowercase			:      Tuple			=					{"""configuration_bert_generation""": ["""BertGenerationConfig"""]}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase			:      Tuple			=					["""BertGenerationTokenizer"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase			:      List[Any]			=					[
          """BertGenerationDecoder""",
          """BertGenerationEncoder""",
          """BertGenerationPreTrainedModel""",
          """load_tf_weights_in_bert_generation""",
      ]


if TYPE_CHECKING:
      from .configuration_bert_generation import BertGenerationConfig

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_bert_generation import BertGenerationTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_bert_generation import (
                BertGenerationDecoder,
                BertGenerationEncoder,
                BertGenerationPreTrainedModel,
                load_tf_weights_in_bert_generation,
            )

else:
      import sys

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



