




def 						__A						(      __lowerCamelCase       ) ->			List[Any]:
	# if the collection is empty, returns empty
	if collection == []:
		return []

	# get some information about the collection
	a									=				len(__lowerCamelCase       )
	a									=				max(__lowerCamelCase       )
	a									=				min(__lowerCamelCase       )

	# 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				,     __lowerCamelCase       ):
		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				,     __lowerCamelCase       )       ):
		a									=				collection[i]
		counting_arr[collection[i] - coll_min] -= 1

	return ordered





def 						__A						(      __lowerCamelCase       ) ->			List[Any]:
	return "".join([chr(__lowerCamelCase       ) for i in counting_sort([ord(__lowerCamelCase       ) for c in string]       )]       )


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

		__UpperCamelCase   :			List[Any]          = input("Enter numbers separated by a comma:\n").strip()
		__UpperCamelCase   :			List[str]          = [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


__UpperCamelCase   :			Optional[int]          = {
    "configuration_jukebox": [
        "JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "JukeboxConfig",
        "JukeboxPriorConfig",
        "JukeboxVQVAEConfig",
    ],
    "tokenization_jukebox": ["JukeboxTokenizer"],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCamelCase   :			int          = [
		    "JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "JukeboxModel",
		    "JukeboxPreTrainedModel",
		    "JukeboxVQVAE",
		    "JukeboxPrior",
		]

if TYPE_CHECKING:
		from .configuration_jukebox import (
		    JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    JukeboxConfig,
		    JukeboxPriorConfig,
		    JukeboxVQVAEConfig,
		)
		from .tokenization_jukebox import JukeboxTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_jukebox import (
				    JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
				    JukeboxModel,
				    JukeboxPreTrainedModel,
				    JukeboxPrior,
				    JukeboxVQVAE,
				)

else:
		import sys

		__UpperCamelCase   :			List[str]          = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

