






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


a_				=     {"configuration_opt": ["OPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "OPTConfig"]}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a_				=     [
	    "OPT_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "OPTForCausalLM",
	    "OPTModel",
	    "OPTPreTrainedModel",
	    "OPTForSequenceClassification",
	    "OPTForQuestionAnswering",
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a_				=     ["TFOPTForCausalLM", "TFOPTModel", "TFOPTPreTrainedModel"]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a_				=     [
	    "FlaxOPTForCausalLM",
	    "FlaxOPTModel",
	    "FlaxOPTPreTrainedModel",
	]


if TYPE_CHECKING:
	from .configuration_opt import OPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OPTConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_opt import (
		    OPT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    OPTForCausalLM,
		    OPTForQuestionAnswering,
		    OPTForSequenceClassification,
		    OPTModel,
		    OPTPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_opt import TFOPTForCausalLM, TFOPTModel, TFOPTPreTrainedModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_opt import FlaxOPTForCausalLM, FlaxOPTModel, FlaxOPTPreTrainedModel

else:
	import sys

	a_				=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)







"""simple docstring"""




def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		if len(lowerCamelCase__  ) <= 1:
				return lst

		lowerCAmelCase__   = 1

		while i < len(lowerCamelCase__  ):
				if lst[i - 1] <= lst[i]:
						i += 1
				else:
						lowerCAmelCase__ ,       lowerCAmelCase__   = lst[i], lst[i - 1]
						i -= 1
						if i == 0:
								lowerCAmelCase__   = 1

		return lst


if __name__ == "__main__":
			__lowerCAmelCase     :				List[Any]    				=    input("Enter numbers separated by a comma:\n").strip()
			__lowerCAmelCase     :				List[str]    				=    [int(item) for item in user_input.split(",")]
			print(gnome_sort(unsorted))




