



import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_lowerCamelCase    :		Union[str, Any]		      =    logging.get_logger(__name__)

_lowerCamelCase    :		Union[str, Any]		      =    {"""vocab_file""": """spm_char.model"""}

_lowerCamelCase    :		Union[str, Any]		      =    {
    """vocab_file""": {
        """microsoft/speecht5_asr""": """https://huggingface.co/microsoft/speecht5_asr/resolve/main/spm_char.model""",
        """microsoft/speecht5_tts""": """https://huggingface.co/microsoft/speecht5_tts/resolve/main/spm_char.model""",
        """microsoft/speecht5_vc""": """https://huggingface.co/microsoft/speecht5_vc/resolve/main/spm_char.model""",
    }
}

_lowerCamelCase    :		Any		      =    {
    """microsoft/speecht5_asr""": 1_024,
    """microsoft/speecht5_tts""": 1_024,
    """microsoft/speecht5_vc""": 1_024,
}


class 						lowercase    (							SCREAMING_SNAKE_CASE_):
						'''simple docstring'''


						UpperCAmelCase			:		List[Any]		=		VOCAB_FILES_NAMES
						UpperCAmelCase			:		Tuple		=		PRETRAINED_VOCAB_FILES_MAP
						UpperCAmelCase			:		Dict		=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCAmelCase			:		Optional[Any]		=		['input_ids', 'attention_mask']







						def __init__(  self    :				List[str]       ,	snake_case    :				Any       ,	snake_case    :				List[str]="<s>"       ,	snake_case    :				Union[str, Any]="</s>"       ,	snake_case    :				Union[str, Any]="<unk>"       ,	snake_case    :				Tuple="<pad>"       ,	snake_case    :				Optional[Dict[str, Any]] = None       ,	**snake_case    :				List[str]       ,	):



											'''simple docstring'''


											SCREAMING_SNAKE_CASE							:     Optional[int]						=				{} if sp_model_kwargs is None else sp_model_kwargs

											super().__init__(
											    bos_token=snake_case       ,	eos_token=snake_case       ,	unk_token=snake_case       ,	pad_token=snake_case       ,	sp_model_kwargs=self.sp_model_kwargs       ,	**snake_case       ,	)

											SCREAMING_SNAKE_CASE							:     str						=				vocab_file

											SCREAMING_SNAKE_CASE							:     Any						=				spm.SentencePieceProcessor(**self.sp_model_kwargs	)
											self.sp_model.Load(snake_case	)







						@property
						def       lowerCamelCase_				(  self    :				Any	):



											'''simple docstring'''


											return self.sp_model.get_piece_size()







						def       lowerCamelCase_				(  self    :				Tuple	):



											'''simple docstring'''


											SCREAMING_SNAKE_CASE							:     Optional[Any]						=				{self.convert_ids_to_tokens(snake_case	): i for i in range(self.vocab_size	)}
											vocab.update(self.added_tokens_encoder	)
											return vocab







						def __getstate__(  self    :				List[str]	):



											'''simple docstring'''


											SCREAMING_SNAKE_CASE							:     List[Any]						=				self.__dict__.copy()
											SCREAMING_SNAKE_CASE							:     str						=				None
											return state







						def __setstate__(  self    :				List[str]       ,	snake_case    :				Optional[Any]	):



											'''simple docstring'''


											SCREAMING_SNAKE_CASE							:     Any						=				d

											# for backward compatibility
											if not hasattr(self       ,	'sp_model_kwargs'	):
																SCREAMING_SNAKE_CASE							:     Any						=				{}

											SCREAMING_SNAKE_CASE							:     Union[str, Any]						=				spm.SentencePieceProcessor(**self.sp_model_kwargs	)
											self.sp_model.Load(self.vocab_file	)







						def       lowerCamelCase_				(  self    :				Dict       ,	snake_case    :				str	):



											'''simple docstring'''


											return self.sp_model.encode(snake_case       ,	out_type=snake_case	)







						def       lowerCamelCase_				(  self    :				int       ,	snake_case    :				Union[str, Any]	):



											'''simple docstring'''


											return self.sp_model.piece_to_id(snake_case	)







						def       lowerCamelCase_				(  self    :				Optional[int]       ,	snake_case    :				List[Any]	):



											'''simple docstring'''


											SCREAMING_SNAKE_CASE							:     Optional[Any]						=				self.sp_model.IdToPiece(snake_case	)
											return token







						def       lowerCamelCase_				(  self    :				Optional[Any]       ,	snake_case    :				Union[str, Any]	):



											'''simple docstring'''


											SCREAMING_SNAKE_CASE							:     List[Any]						=				[]
											SCREAMING_SNAKE_CASE							:     int						=				''
											for token in tokens:
																# make sure that special tokens are not decoded using sentencepiece model
																if token in self.all_special_tokens:
																					out_string += self.sp_model.decode(snake_case	) + token
																					SCREAMING_SNAKE_CASE							:     Any						=				[]
																else:
																					current_sub_tokens.append(snake_case	)
											out_string += self.sp_model.decode(snake_case	)
											return out_string.strip()







						def       lowerCamelCase_				(  self    :				Any       ,	snake_case    :				str       ,	snake_case    :				List[Any]=None	):



											'''simple docstring'''


											if token_ids_a is None:
																return token_ids_a + [self.eos_token_id]
											# We don't expect to process pairs, but leave the pair logic for API consistency
											return token_ids_a + token_ids_a + [self.eos_token_id]







						def       lowerCamelCase_				(  self    :				Union[str, Any]       ,	snake_case    :				List[int]       ,	snake_case    :				Optional[List[int]] = None       ,	snake_case    :				bool = False	):



											'''simple docstring'''


											if already_has_special_tokens:
																return super().get_special_tokens_mask(
																    token_ids_a=snake_case       ,	token_ids_a=snake_case       ,	already_has_special_tokens=snake_case	)

											SCREAMING_SNAKE_CASE							:     List[str]						=				[1]
											if token_ids_a is None:
																return ([0] * len(snake_case	)) + suffix_ones
											return ([0] * len(snake_case	)) + ([0] * len(snake_case	)) + suffix_ones







						def       lowerCamelCase_				(  self    :				List[Any]       ,	snake_case    :				str       ,	snake_case    :				Optional[str] = None	):



											'''simple docstring'''


											if not os.path.isdir(snake_case	):
																logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''	)
																return
											SCREAMING_SNAKE_CASE							:     Tuple						=				os.path.join(
											    snake_case       ,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']	)

											if os.path.abspath(self.vocab_file	) != os.path.abspath(snake_case	) and os.path.isfile(self.vocab_file	):
																copyfile(self.vocab_file       ,	snake_case	)
											elif not os.path.isfile(self.vocab_file	):
																with open(snake_case       ,	'wb'	) as fi:
																					SCREAMING_SNAKE_CASE							:     Optional[int]						=				self.sp_model.serialized_model_proto()
																					fi.write(snake_case	)

											return (out_vocab_file,)




def        __a			(   __lowerCAmelCase   )     ->     List[str]:
					stooge(__lowerCAmelCase      ,	0      ,	len(__lowerCAmelCase   ) - 1   )
					return arr

def        __a			(   __lowerCAmelCase      ,	__lowerCAmelCase      ,	__lowerCAmelCase   )     ->     int:
					if i >= h:
										return

					# If first element is smaller than the last then swap them
					if arr[i] > arr[h]:
										SCREAMING_SNAKE_CASE					,  SCREAMING_SNAKE_CASE							:     Any						=				arr[h], arr[i]

					# If there are more than 2 elements in the array
					if h - i + 1 > 2:
										SCREAMING_SNAKE_CASE							:     Union[str, Any]						=				(int)((h - i + 1) / 3   )

										# Recursively sort first 2/3 elements
										stooge(__lowerCAmelCase      ,	__lowerCAmelCase      ,	(h - t)   )

										# Recursively sort last 2/3 elements
										stooge(__lowerCAmelCase      ,	i + t      ,	(__lowerCAmelCase)   )

										# Recursively sort first 2/3 elements
										stooge(__lowerCAmelCase      ,	__lowerCAmelCase      ,	(h - t)   )


if __name__ == "__main__":
			_lowerCamelCase    :		List[str]		      =    input("""Enter numbers separated by a comma:\n""").strip()
			_lowerCamelCase    :		List[Any]		      =    [int(item) for item in user_input.split(""",""")]
			print(stooge_sort(unsorted))