
'''simple docstring'''





def 	snake_case_							(				_a  :				list			,       _a  :				int			,       _a  :				int      ):
      if right <= left:
            return
      snake_case_    							=				snake_case_    							=				left
      snake_case_    							=				right
      snake_case_    							=				sorting[left]
      while i <= b:
            if sorting[i] < pivot:
                  snake_case_							,						snake_case_    							=				sorting[i], sorting[a]
                  a += 1
                  i += 1
            elif sorting[i] > pivot:
                  snake_case_							,						snake_case_    							=				sorting[i], sorting[b]
                  b -= 1
            else:
                  i += 1
      quick_sort_apartition(_a			,       _a			,       a - 1      )
      quick_sort_apartition(_a			,       b + 1			,       _a      )
def 	snake_case_							(				_a  :				list			,       _a  :				int			,       _a  :				int      ):
      if left < right:
            snake_case_    							=				lomuto_partition(_a			,       _a			,       _a      )
            quick_sort_lomuto_partition(_a			,       _a			,       pivot_index - 1      )
            quick_sort_lomuto_partition(_a			,       pivot_index + 1			,       _a      )
def 	snake_case_							(				_a  :				list			,       _a  :				int			,       _a  :				int      ):
      snake_case_    							=				sorting[right]
      snake_case_    							=				left
      for i in range(_a			,       _a      ):
            if sorting[i] < pivot:
                  snake_case_							,						snake_case_    							=				sorting[i], sorting[store_index]
                  store_index += 1
      snake_case_							,						snake_case_    							=				sorting[store_index], sorting[right]
      return store_index
def 	snake_case_							(				_a  :				list      ):
      if len(_a      ) <= 1:
            return sorting
      return (
          three_way_radix_quicksort([i for i in sorting if i < sorting[0]]      )
          + [i for i in sorting if i == sorting[0]]
          + three_way_radix_quicksort([i for i in sorting if i > sorting[0]]      )
      )


if __name__ == "__main__":
     import doctest

     doctest.testmod(verbose=True)

     A							     = input("Enter numbers separated by a comma:\n").strip()
     A							     = [int(item) for item in user_input.split(",")]
     quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
     print(unsorted)



'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


A							     = {
    "configuration_marian": ["MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "MarianConfig", "MarianOnnxConfig"],
}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A							     = ["MarianTokenizer"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A							     = [
         "MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST",
         "MarianForCausalLM",
         "MarianModel",
         "MarianMTModel",
         "MarianPreTrainedModel",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A							     = ["TFMarianModel", "TFMarianMTModel", "TFMarianPreTrainedModel"]

try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A							     = ["FlaxMarianModel", "FlaxMarianMTModel", "FlaxMarianPreTrainedModel"]

if TYPE_CHECKING:
     from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_marian import MarianTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_marian import (
              MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
              MarianForCausalLM,
              MarianModel,
              MarianMTModel,
              MarianPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
     import sys

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

