




import itertools
from dataclasses import dataclass
from typing import Optional

import pyarrow as pa

import datasets
from datasets.table import table_cast


lowercase__    :					str					=						datasets.utils.logging.get_logger(__name__)
@dataclass
class 		UpperCAmelCase       (    datasets.BuilderConfig      ):







      '''simple docstring'''





      lowerCAmelCase_							=       None







class 		UpperCAmelCase       (    datasets.ArrowBasedBuilder      ):







      '''simple docstring'''





      lowerCAmelCase_							=       ArrowConfig






      def 	snake_case__						(						self							:					Dict						):






       """simple docstring"""






       return datasets.DatasetInfo(features=self.config.features						)






      def 	snake_case__						(						self							:					Tuple	,     __lowercase							:					Union[str, Any]						):






       """simple docstring"""






       if not self.config.data_files:
        raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}"						)
       snake_case_		   =					dl_manager.download_and_extract(self.config.data_files						)
       if isinstance(__lowercase	,     (str, list, tuple)						):
        snake_case_		   =					data_files
        if isinstance(__lowercase	,     __lowercase						):
         snake_case_		   =					[files]
        # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
        snake_case_		   =					[dl_manager.iter_files(__lowercase						) for file in files]
        return [datasets.SplitGenerator(name=datasets.Split.TRAIN	,     gen_kwargs={"files": files}						)]
       snake_case_		   =					[]
       for split_name, files in data_files.items():
        if isinstance(__lowercase	,     __lowercase						):
         snake_case_		   =					[files]
        # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
        snake_case_		   =					[dl_manager.iter_files(__lowercase						) for file in files]
        # Infer features is they are stoed in the arrow schema
        if self.info.features is None:
         for file in itertools.chain.from_iterable(__lowercase						):
          with open(__lowercase	,     "rb"						) as f:
           snake_case_		   =					datasets.Features.from_arrow_schema(pa.ipc.open_stream(__lowercase						).schema						)
          break
        splits.append(datasets.SplitGenerator(name=__lowercase	,     gen_kwargs={"files": files}						)						)
       return splits






      def 	snake_case__						(						self							:					str	,     __lowercase							:					pa.Table						):






       """simple docstring"""






       if self.info.features is not None:
        # more expensive cast to support nested features with keys in a different order
        # allows str <-> int/float or str to Audio for example
        snake_case_		   =					table_cast(__lowercase	,     self.info.features.arrow_schema						)
       return pa_table






      def 	snake_case__						(						self							:					Tuple	,     __lowercase							:					Optional[Any]						):






       """simple docstring"""






       for file_idx, file in enumerate(itertools.chain.from_iterable(__lowercase						)						):
        with open(__lowercase	,     "rb"						) as f:
         try:
          for batch_idx, record_batch in enumerate(pa.ipc.open_stream(__lowercase						)						):
           snake_case_		   =					pa.Table.from_batches([record_batch]						)
           # Uncomment for debugging (will print the Arrow table size and elements)
           # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
           # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
           yield f"{file_idx}_{batch_idx}", self._cast_table(__lowercase						)
         except ValueError as e:
          logger.error(f"Failed to read file '{file}' with error {type(__lowercase						)}: {e}"						)
          raise






def 						lowerCamelCase__   (		_A					,     _A					,     _A							):







	'''simple docstring'''





	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 						lowerCamelCase__   (		_A					,     _A					,     _A							):







	'''simple docstring'''





	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 						lowerCamelCase__   (		_A					,     _A					,     _A							):







	'''simple docstring'''





	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 						lowerCamelCase__   (		_A							):







	'''simple docstring'''





	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)

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