


"""simple docstring"""






def 			A__		(					_UpperCAmelCase    :      int				,    _UpperCAmelCase    :      int				,    _UpperCAmelCase    :      Union[str, Any]				,    _UpperCAmelCase    :      List[Any]	)							->	Dict:

	'''simple docstring'''


	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(_UpperCAmelCase				,    _UpperCAmelCase				,    mid + 1				,    _UpperCAmelCase	)
	elif lst[mid] > item:
		return binary_search(_UpperCAmelCase				,    _UpperCAmelCase				,    _UpperCAmelCase				,    mid - 1	)
	else:
		return mid



def 			A__		(					_UpperCAmelCase    :      Dict	)							->	Dict:

	'''simple docstring'''


	snake_case__  :						Optional[Any]		=      len(_UpperCAmelCase	)

	for index in range(1				,    _UpperCAmelCase	):
		snake_case__  :						Union[str, Any]		=      lst[index]
		snake_case__  :						Union[str, Any]		=      binary_search(_UpperCAmelCase				,    _UpperCAmelCase				,    0				,    index - 1	)
		snake_case__  :						Tuple		=      lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]

	return lst



def 			A__		(					_UpperCAmelCase    :      str				,    _UpperCAmelCase    :      Optional[Any]	)							->	str:

	'''simple docstring'''


	if not left:
		return right

	if not right:
		return left

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

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



def 			A__		(					_UpperCAmelCase    :      Any	)							->	str:

	'''simple docstring'''


	snake_case__  :						Tuple		=      len(_UpperCAmelCase	)
	snake_case__,					snake_case__  :						Optional[Any]		=      [], []
	snake_case__  :						Union[str, Any]		=      [lst[0]]
	snake_case__  :						Optional[int]		=      []
	snake_case__  :						Tuple		=      1
	while i < length:
		if lst[i] < lst[i - 1]:
			runs.append(_UpperCAmelCase	)
			snake_case__  :						Union[str, Any]		=      [lst[i]]
		else:
			new_run.append(lst[i]	)
		i += 1
	runs.append(_UpperCAmelCase	)

	for run in runs:
		sorted_runs.append(insertion_sort(_UpperCAmelCase	)	)
	for run in sorted_runs:
		snake_case__  :						str		=      merge(_UpperCAmelCase				,    _UpperCAmelCase	)

	return sorted_array



def 			A__		(					)							->	Tuple:

	'''simple docstring'''


	snake_case__  :						str		=      [5, 9, 10, 3, -4, 5, 1_78, 92, 46, -18, 0, 7]
	snake_case__  :						Dict		=      tim_sort(_UpperCAmelCase	)
	print(_UpperCAmelCase	)


if __name__ == "__main__":
					main()








from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


__A	:   Optional[int]	=					{
    'configuration_mobilevitv2': [
        'MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileViTV2Config',
        'MobileViTV2OnnxConfig',
    ],
}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A	:   Tuple	=					[
	    'MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'MobileViTV2ForImageClassification',
	    'MobileViTV2ForSemanticSegmentation',
	    'MobileViTV2Model',
	    'MobileViTV2PreTrainedModel',
	]

if TYPE_CHECKING:
	from .configuration_mobilevitva import (
	    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    MobileViTVaConfig,
	    MobileViTVaOnnxConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_mobilevitva import (
		    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MobileViTVaForImageClassification,
		    MobileViTVaForSemanticSegmentation,
		    MobileViTVaModel,
		    MobileViTVaPreTrainedModel,
		)

else:
	import sys

	__A	:   List[str]	=					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
