




def 					A				(				_SCREAMING_SNAKE_CASE   )     ->			Union[str, Any]:
       lowerCamelCase       :				Optional[int]      			= [701, 301, 132, 57, 23, 10, 4, 1]
       for gap in gaps:
              for i in range(_SCREAMING_SNAKE_CASE			,len(_SCREAMING_SNAKE_CASE   )   ):
                     lowerCamelCase       :				List[str]      			= collection[i]
                     lowerCamelCase       :				List[Any]      			= i
                     while j >= gap and collection[j - gap] > insert_value:
                            lowerCamelCase       :				Optional[Any]      			= collection[j - gap]
                            j -= gap
                     if j != i:
                            lowerCamelCase       :				List[str]      			= insert_value
       return collection


if __name__ == "__main__":
     from doctest import testmod

     testmod()
     SCREAMING_SNAKE_CASE__	:				Union[str, Any]  =       input('Enter numbers separated by a comma:\n').strip()
     SCREAMING_SNAKE_CASE__	:				Optional[Any]  =       [int(item) for item in user_input.split(',')]
     print(shell_sort(unsorted))












from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE__	:				Dict  =       {
    'configuration_oneformer': ['ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'OneFormerConfig'],
    'processing_oneformer': ['OneFormerProcessor'],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       SCREAMING_SNAKE_CASE__	:				Optional[Any]  =       ['OneFormerImageProcessor']

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       SCREAMING_SNAKE_CASE__	:				Optional[int]  =       [
           'ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
           'OneFormerForUniversalSegmentation',
           'OneFormerModel',
           'OneFormerPreTrainedModel',
       ]

if TYPE_CHECKING:
       from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
       from .processing_oneformer import OneFormerProcessor

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .image_processing_oneformer import OneFormerImageProcessor
       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_oneformer import (
                  ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  OneFormerForUniversalSegmentation,
                  OneFormerModel,
                  OneFormerPreTrainedModel,
              )


else:
       import sys

       SCREAMING_SNAKE_CASE__	:				str  =       _LazyModule(__name__, globals()['__file__'], _import_structure)






