


'''simple docstring'''







def _UpperCamelCase			(	__A       )				->						List[Any]:


      '''simple docstring'''



      UpperCamelCase__      =							[701, 301, 132, 57, 23, 10, 4, 1]
      for gap in gaps:
            for i in range(__lowerCamelCase ,     len(__lowerCamelCase       )       ):
                  UpperCamelCase__      =							collection[i]
                  UpperCamelCase__      =							i
                  while j >= gap and collection[j - gap] > insert_value:
                        UpperCamelCase__      =							collection[j - gap]
                        j -= gap
                  if j != i:
                        UpperCamelCase__      =							insert_value
      return collection


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

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









'''simple docstring'''

from typing import TYPE_CHECKING

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


lowercase__					  =		{
    "configuration_swin2sr": ["SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swin2SRConfig"],
}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__					  =		[
       "SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST",
       "Swin2SRForImageSuperResolution",
       "Swin2SRModel",
       "Swin2SRPreTrainedModel",
   ]


try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__					  =		["Swin2SRImageProcessor"]


if TYPE_CHECKING:
   from .configuration_swinasr import SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinaSRConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_swinasr import (
          SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST,
          SwinaSRForImageSuperResolution,
          SwinaSRModel,
          SwinaSRPreTrainedModel,
      )

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .image_processing_swinasr import SwinaSRImageProcessor


else:
   import sys

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

