

from typing import TYPE_CHECKING

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


_a:    Union[str, Any] 							=			{"""configuration_mbart""": ["""MBART_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MBartConfig""", """MBartOnnxConfig"""]}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_a:    List[str] 							=			["""MBartTokenizer"""]

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_a:    Optional[Any] 							=			["""MBartTokenizerFast"""]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_a:    int 							=			[
				    """MBART_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """MBartForCausalLM""",
				    """MBartForConditionalGeneration""",
				    """MBartForQuestionAnswering""",
				    """MBartForSequenceClassification""",
				    """MBartModel""",
				    """MBartPreTrainedModel""",
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_a:    List[str] 							=			[
				    """TFMBartForConditionalGeneration""",
				    """TFMBartModel""",
				    """TFMBartPreTrainedModel""",
				]

try:
				if not is_flax_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_a:    List[str] 							=			[
				    """FlaxMBartForConditionalGeneration""",
				    """FlaxMBartForQuestionAnswering""",
				    """FlaxMBartForSequenceClassification""",
				    """FlaxMBartModel""",
				    """FlaxMBartPreTrainedModel""",
				]


if TYPE_CHECKING:
				from .configuration_mbart import MBART_PRETRAINED_CONFIG_ARCHIVE_MAP, MBartConfig, MBartOnnxConfig

				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mbart import MBartTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mbart_fast import MBartTokenizerFast

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_mbart import (
								    MBART_PRETRAINED_MODEL_ARCHIVE_LIST,
								    MBartForCausalLM,
								    MBartForConditionalGeneration,
								    MBartForQuestionAnswering,
								    MBartForSequenceClassification,
								    MBartModel,
								    MBartPreTrainedModel,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel

				try:
								if not is_flax_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_flax_mbart import (
								    FlaxMBartForConditionalGeneration,
								    FlaxMBartForQuestionAnswering,
								    FlaxMBartForSequenceClassification,
								    FlaxMBartModel,
								    FlaxMBartPreTrainedModel,
								)

else:
				import sys

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


def       __lowerCAmelCase      (						A    ):
	if len(A    ) <= 1:
		return lst

	UpperCAmelCase_       				=			1

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

	return lst


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