
"""simple docstring"""







def       A_      (       lowercase   )  ->				list:


     """simple docstring"""







     def merge(lowercase    ,			lowercase   ) -> list:

          def _merge():
               while left and right:
                    yield (left if left[0] <= right[0] else right).pop(0   )
               yield from left
               yield from right

          return list(_merge()   )

     if len(lowercase   ) <= 1:
          return collection
     UpperCAmelCase_    :     List[Any]            =	len(lowercase   ) // 2
     return merge(merge_sort(collection[:mid]   )    ,			merge_sort(collection[mid:]   )   )


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       lowercase_         =       input("Enter numbers separated by a comma:\n").strip()
       lowercase_         =       [int(item) for item in user_input.split(",")]
       print(*merge_sort(unsorted), sep=",")



"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase_         =       {
    "configuration_timesformer": ["TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TimesformerConfig"],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowercase_         =       [
           "TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
           "TimesformerModel",
           "TimesformerForVideoClassification",
           "TimesformerPreTrainedModel",
       ]

if TYPE_CHECKING:
       from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_timesformer import (
                  TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TimesformerForVideoClassification,
                  TimesformerModel,
                  TimesformerPreTrainedModel,
              )

else:
       import sys

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

