





"""simple docstring"""




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,
)


UpperCamelCase_     ={"""configuration_pegasus""": ["""PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PegasusConfig"""]}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_     =["""PegasusTokenizer"""]

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_     =["""PegasusTokenizerFast"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_     =[
						    """PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """PegasusForCausalLM""",
						    """PegasusForConditionalGeneration""",
						    """PegasusModel""",
						    """PegasusPreTrainedModel""",
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_     =[
						    """TFPegasusForConditionalGeneration""",
						    """TFPegasusModel""",
						    """TFPegasusPreTrainedModel""",
						]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_     =[
						    """FlaxPegasusForConditionalGeneration""",
						    """FlaxPegasusModel""",
						    """FlaxPegasusPreTrainedModel""",
						]


if TYPE_CHECKING:
						from .configuration_pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig

						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_pegasus import PegasusTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_pegasus_fast import PegasusTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_pegasus import (
												    PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
												    PegasusForCausalLM,
												    PegasusForConditionalGeneration,
												    PegasusModel,
												    PegasusPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_pegasus import (
												    FlaxPegasusForConditionalGeneration,
												    FlaxPegasusModel,
												    FlaxPegasusPreTrainedModel,
												)

else:
						import sys

						UpperCamelCase_     =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










"""simple docstring"""




def  a_       (							_lowercase     ):
						_UpperCamelCase    :      str						     =					len(_lowercase     )

						# Set the gap value to be decreased by a factor of 1.3
						# after each iteration
						_UpperCamelCase    :      str						     =					1.3

						# Continue sorting until the gap is 1
						while gap > 1:
												# Decrease the gap value
												_UpperCamelCase    :      Union[str, Any]						     =					int(gap / shrink     )

												# Sort the elements using insertion sort
												for i in range(_lowercase ,		len(_lowercase     )     ):
																		_UpperCamelCase    :      Optional[Any]						     =					collection[i]
																		_UpperCamelCase    :      int						     =					i
																		while j >= gap and collection[j - gap] > temp:
																								_UpperCamelCase    :      List[str]						     =					collection[j - gap]
																								j -= gap
																		_UpperCamelCase    :      Union[str, Any]						     =					temp

						return collection


if __name__ == "__main__":
						import doctest

						doctest.testmod()



