

def        lowerCamelCase__       (    _a):
	SCREAMING_SNAKE_CASE      :					Optional[int]    =				len(_a)
	for i in range(1							,	_a):
		SCREAMING_SNAKE_CASE      :					Optional[int]    =				collection[i]
		SCREAMING_SNAKE_CASE      :					Dict    =				0
		SCREAMING_SNAKE_CASE      :					Tuple    =				i - 1

		while low <= high:
			SCREAMING_SNAKE_CASE      :					Any    =				(low + high) // 2
			if val < collection[mid]:
				SCREAMING_SNAKE_CASE      :					str    =				mid - 1
			else:
				SCREAMING_SNAKE_CASE      :					Any    =				mid + 1
		for j in range(_a							,	_a							,	-1):
			SCREAMING_SNAKE_CASE      :					int    =				collection[j - 1]
		SCREAMING_SNAKE_CASE      :					Any    =				val
	return collection


if __name__ == "__main__":
			a_     =			input('Enter numbers separated by a comma:\n').strip()
			a_     =			[int(item) for item in user_input.split(',')]
			print(binary_insertion_sort(unsorted))


from typing import TYPE_CHECKING

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


A_       : List[str]         =			{
    '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:
	A_       : Optional[int]         =			[
	    '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

	A_       : Any         =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



