



def 		lowerCAmelCase__     (       UpperCamelCase_					:							Optional[int]						)->	Optional[Any]:
    # if the collection is empty, returns empty
    if collection == []:
        return []

    # get some information about the collection
    A__					=       len(UpperCamelCase_						)
    A__					=       max(UpperCamelCase_						)
    A__					=       min(UpperCamelCase_						)

    # create the counting array
    A__					=       coll_max + 1 - coll_min
    A__					=       [0] * counting_arr_length

    # count how much a number appears in the collection
    for number in collection:
        counting_arr[number - coll_min] += 1

    # sum each position with it's predecessors. now, counting_arr[i] tells
    # us how many elements <= i has in the collection
    for i in range(1			,							UpperCamelCase_						):
        A__					=       counting_arr[i] + counting_arr[i - 1]

    # create the output collection
    A__					=       [0] * coll_len

    # place the elements in the output, respecting the original order (stable
    # sort) from end to begin, updating counting_arr
    for i in reversed(range(0			,							UpperCamelCase_						)						):
        A__					=       collection[i]
        counting_arr[collection[i] - coll_min] -= 1

    return ordered



def 		lowerCAmelCase__     (       UpperCamelCase_					:							Optional[int]						)->	Optional[Any]:
    return "".join([chr(UpperCamelCase_						) for i in counting_sort([ord(UpperCamelCase_						) for c in string]						)]						)


if __name__ == "__main__":
   # Test string sort
   assert counting_sort_string("thisisthestring") == "eghhiiinrsssttt"

   _lowercase    	=		input("Enter numbers separated by a comma:\n").strip()
   _lowercase    	=		[int(item) for item in user_input.split(",")]
   print(counting_sort(unsorted))





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase    	=		{
    "configuration_upernet": ["UperNetConfig"],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowercase    	=		[
       "UperNetForSemanticSegmentation",
       "UperNetPreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_upernet import UperNetConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_upernet import UperNetForSemanticSegmentation, UperNetPreTrainedModel


else:
   import sys

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