
'''simple docstring'''
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


lowercase__											=logging.get_logger(__name__)

lowercase__											={"vocab_file": "spm_char.model"}

lowercase__											={
    "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",
    }
}

lowercase__											={
    "microsoft/speecht5_asr": 10_24,
    "microsoft/speecht5_tts": 10_24,
    "microsoft/speecht5_vc": 10_24,
}







class   a_ (      lowercase_					):
			lowerCamelCase__	:			int       =    VOCAB_FILES_NAMES
			lowerCamelCase__	:			Any       =    PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase__	:			Optional[Any]       =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase__	:			int       =    ['input_ids', 'attention_mask']




			def __init__(       self					,   UpperCAmelCase					,   UpperCAmelCase="<s>"					,   UpperCAmelCase="</s>"					,   UpperCAmelCase="<unk>"					,   UpperCAmelCase="<pad>"					,   UpperCAmelCase = None					,   **UpperCAmelCase					,   ):
				a_      				=						{} if sp_model_kwargs is None else sp_model_kwargs

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

				a_      				=						vocab_file

				a_      				=						spm.SentencePieceProcessor(**self.sp_model_kwargs	)
				self.sp_model.Load(_lowercase	)




			@property
			def 					lowerCAmelCase__					(       self	):
				return self.sp_model.get_piece_size()




			def 					lowerCAmelCase__					(       self	):
				a_      				=						{self.convert_ids_to_tokens(_lowercase	): i for i in range(self.vocab_size	)}
				vocab.update(self.added_tokens_encoder	)
				return vocab




			def __getstate__(       self	):
				a_      				=						self.__dict__.copy()
				a_      				=						None
				return state




			def __setstate__(       self					,   UpperCAmelCase	):
				a_      				=						d

				# for backward compatibility
				if not hasattr(self					,   """sp_model_kwargs"""	):
					a_      				=						{}

				a_      				=						spm.SentencePieceProcessor(**self.sp_model_kwargs	)
				self.sp_model.Load(self.vocab_file	)




			def 					lowerCAmelCase__					(       self					,   UpperCAmelCase	):
				return self.sp_model.encode(_lowercase					,   out_type=_lowercase	)




			def 					lowerCAmelCase__					(       self					,   UpperCAmelCase	):
				return self.sp_model.piece_to_id(_lowercase	)




			def 					lowerCAmelCase__					(       self					,   UpperCAmelCase	):
				a_      				=						self.sp_model.IdToPiece(_lowercase	)
				return token




			def 					lowerCAmelCase__					(       self					,   UpperCAmelCase	):
				a_      				=						[]
				a_      				=						""""""
				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(_lowercase	) + token
						a_      				=						[]
					else:
						current_sub_tokens.append(_lowercase	)
				out_string += self.sp_model.decode(_lowercase	)
				return out_string.strip()




			def 					lowerCAmelCase__					(       self					,   UpperCAmelCase					,   UpperCAmelCase=None	):
				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					,   UpperCAmelCase					,   UpperCAmelCase = None					,   UpperCAmelCase = False	):
				if already_has_special_tokens:
					return super().get_special_tokens_mask(
					    token_ids_a=_lowercase					,   token_ids_a=_lowercase					,   already_has_special_tokens=_lowercase	)

				a_      				=						[1]
				if token_ids_a is None:
					return ([0] * len(_lowercase	)) + suffix_ones
				return ([0] * len(_lowercase	)) + ([0] * len(_lowercase	)) + suffix_ones






			def 					lowerCAmelCase__					(       self					,   UpperCAmelCase					,   UpperCAmelCase = None	):
				if not os.path.isdir(_lowercase	):
					logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''	)
					return
				a_      				=						os.path.join(
				    _lowercase					,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]	)

				if os.path.abspath(self.vocab_file	) != os.path.abspath(_lowercase	) and os.path.isfile(self.vocab_file	):
					copyfile(self.vocab_file					,   _lowercase	)
				elif not os.path.isfile(self.vocab_file	):
					with open(_lowercase					,   """wb"""	) as fi:
						a_      				=						self.sp_model.serialized_model_proto()
						fi.write(_lowercase	)

				return (out_vocab_file,)



'''simple docstring'''

SCREAMING_SNAKE_CASE							:				Union[str, Any]     	=			0  # The first color of the flag.
SCREAMING_SNAKE_CASE							:				List[str]     	=			1  # The second color of the flag.
SCREAMING_SNAKE_CASE							:				Optional[Any]     	=			2  # The third color of the flag.
SCREAMING_SNAKE_CASE							:				Tuple     	=			(red, white, blue)




def 							_UpperCamelCase				(   lowerCAmelCase__:					list   )      -> list:
							if not sequence:
														return []
							if len(lowerCAmelCase__   ) == 1:
														return list(lowerCAmelCase__   )
							SCREAMING_SNAKE_CASE_				=				0
							SCREAMING_SNAKE_CASE_				=				len(lowerCAmelCase__   ) - 1
							SCREAMING_SNAKE_CASE_				=				0
							while mid <= high:
														if sequence[mid] == colors[0]:
																					SCREAMING_SNAKE_CASE_				,    SCREAMING_SNAKE_CASE_				=				sequence[mid], sequence[low]
																					low += 1
																					mid += 1
														elif sequence[mid] == colors[1]:
																					mid += 1
														elif sequence[mid] == colors[2]:
																					SCREAMING_SNAKE_CASE_				,    SCREAMING_SNAKE_CASE_				=				sequence[high], sequence[mid]
																					high -= 1
														else:
																					SCREAMING_SNAKE_CASE_				=				F"""The elements inside the sequence must contains only {colors} values"""
																					raise ValueError(lowerCAmelCase__   )
							return sequence


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							SCREAMING_SNAKE_CASE							:				str     	=			input("Enter numbers separated by commas:\n").strip()
							SCREAMING_SNAKE_CASE							:				List[Any]     	=			[int(item.strip()) for item in user_input.split(",")]
							print(f"{dutch_national_flag_sort(unsorted)}")





