
import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


SCREAMING_SNAKE_CASE							:Optional[int]							 =				logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							:Dict							 =				'▁'

SCREAMING_SNAKE_CASE							:Union[str, Any]							 =				{
    'vocab_file': 'vocab.json',
    'spm_file': 'sentencepiece.bpe.model',
}

SCREAMING_SNAKE_CASE							:Optional[int]							 =				{
    'vocab_file': {
        'facebook/s2t-small-librispeech-asr': (
            'https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json'
        ),
    },
    'spm_file': {
        'facebook/s2t-small-librispeech-asr': (
            'https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model'
        )
    },
}

SCREAMING_SNAKE_CASE							:Optional[Any]							 =				{
    'facebook/s2t-small-librispeech-asr': 1024,
}

SCREAMING_SNAKE_CASE							:Optional[Any]							 =				['pt', 'fr', 'ru', 'nl', 'ro', 'it', 'es', 'de']

SCREAMING_SNAKE_CASE							:Union[str, Any]							 =				{'mustc': MUSTC_LANGS}





class 							UpperCAmelCase      (  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_					    =     VOCAB_FILES_NAMES
	snake_case_					    =     PRETRAINED_VOCAB_FILES_MAP
	snake_case_					    =     MAX_MODEL_INPUT_SIZES
	snake_case_					    =     ["input_ids", "attention_mask"]

	snake_case_					    =     []






	def __init__(       self					: Optional[Any]							,A					: List[str]							,A					: str							,A					: Tuple="<s>"							,A					: Dict="</s>"							,A					: List[str]="<pad>"							,A					: Tuple="<unk>"							,A					: Dict=False							,A					: Tuple=False							,A					: str=None							,A					: List[str]=None							,A					: Optional[Dict[str, Any]] = None							,**A					: str							,):
					__A   			= {} if sp_model_kwargs is None else sp_model_kwargs

					super().__init__(
					    bos_token=A							,eos_token=A							,unk_token=A							,pad_token=A							,do_upper_case=A							,do_lower_case=A							,tgt_lang=A							,lang_codes=A							,sp_model_kwargs=self.sp_model_kwargs							,**A							,)
					__A   			= do_upper_case
					__A   			= do_lower_case

					__A   			= load_json(A )
					__A   			= {v: k for k, v in self.encoder.items()}
					__A   			= spm_file
					__A   			= load_spm(A							,self.sp_model_kwargs )

					if lang_codes is not None:
									__A   			= lang_codes
									__A   			= LANGUAGES[lang_codes]
									__A   			= [f'''<lang:{lang}>''' for lang in self.langs]
									__A   			= {lang: self.sp_model.PieceToId(f'''<lang:{lang}>''' ) for lang in self.langs}

									__A   			= self.lang_tokens
									__A   			= tgt_lang if tgt_lang is not None else self.langs[0]

									self.set_tgt_lang_special_tokens(self._tgt_lang )
					else:
									__A   			= {}






	@property
	def 				UpperCamelCase_  (       self					: Union[str, Any] ):
					return len(self.encoder )






	@property
	def 				UpperCamelCase_  (       self					: Union[str, Any] ):
					return self._tgt_lang






	@tgt_lang.setter
	def 				UpperCamelCase_  (       self					: Union[str, Any]							,A					: Union[str, Any] ):
					__A   			= new_tgt_lang
					self.set_tgt_lang_special_tokens(A )






	def 				UpperCamelCase_  (       self					: Optional[int]							,A					: str ):
					__A   			= self.lang_code_to_id[tgt_lang]
					__A   			= [lang_code_id]






	def 				UpperCamelCase_  (       self					: str							,A					: str ):
					return self.sp_model.encode(A							,out_type=A )






	def 				UpperCamelCase_  (       self					: Optional[int]							,A					: Optional[int] ):
					return self.encoder.get(A							,self.encoder[self.unk_token] )






	def 				UpperCamelCase_  (       self					: str							,A					: int ):
					return self.decoder.get(A							,self.unk_token )






	def 				UpperCamelCase_  (       self					: Union[str, Any]							,A					: List[str] ):
					__A   			= []
					__A   			= ""
					for token in tokens:
									# make sure that special tokens are not decoded using sentencepiece model
									if token in self.all_special_tokens:
													__A   			= self.sp_model.decode(A )
													out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
													__A   			= []
									else:
													current_sub_tokens.append(A )
					__A   			= self.sp_model.decode(A )
					out_string += decoded.upper() if self.do_upper_case else decoded
					return out_string.strip()






	def 				UpperCamelCase_  (       self					: List[str]							,A					: List[str]							,A					: Tuple=None ):
					if token_ids_a is None:
									return self.prefix_tokens + token_ids_a + [self.eos_token_id]
					# We don't expect to process pairs, but leave the pair logic for API consistency
					return self.prefix_tokens + token_ids_a + token_ids_a + [self.eos_token_id]






	def 				UpperCamelCase_  (       self					: Tuple							,A					: List[int]							,A					: Optional[List[int]] = None							,A					: bool = False ):

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

					__A   			= [1] * len(self.prefix_tokens )
					__A   			= [1]
					if token_ids_a is None:
									return prefix_ones + ([0] * len(A )) + suffix_ones
					return prefix_ones + ([0] * len(A )) + ([0] * len(A )) + suffix_ones






	def 				UpperCamelCase_  (       self					: Optional[int] ):
					__A   			= self.encoder.copy()
					vocab.update(self.added_tokens_encoder )
					return vocab






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






	def __setstate__(       self					: Union[str, Any]							,A					: Dict ):
					__A   			= d

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

					__A   			= load_spm(self.spm_file							,self.sp_model_kwargs )







	def 				UpperCamelCase_  (       self					: Any							,A					: str							,A					: Optional[str] = None ):
					__A   			= Path(A )
					assert save_dir.is_dir(), f'''{save_directory} should be a directory'''
					__A   			= save_dir / (
					    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
					)
					__A   			= save_dir / (
					    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
					)

					save_json(self.encoder							,A )

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

					return (str(A ), str(A ))





def 						UpperCAmelCase			(	a_		,   a_						)		->	sentencepiece.SentencePieceProcessor:







				"""simple docstring"""



				__A   			= sentencepiece.SentencePieceProcessor(**a_						)
				spm.Load(str(a_						)						)
				return spm


def 						UpperCAmelCase			(	a_						)		->	Union[Dict, List]:







				"""simple docstring"""



				with open(a_		,   "r"						) as f:
								return json.load(a_						)


def 						UpperCAmelCase			(	a_		,   a_						)		->	None:







				"""simple docstring"""



				with open(a_		,   "w"						) as f:
								json.dump(a_		,   a_		,   indent=2						)


def 						UpperCAmelCase			(	a_						)		->	list:







				"""simple docstring"""



				if len(a_						) <= 1:
								return lst

				__A   			= 1

				while i < len(a_						):
								if lst[i - 1] <= lst[i]:
												i += 1
								else:
												__A			,							__A   			= lst[i], lst[i - 1]
												i -= 1
												if i == 0:
																__A   			= 1

				return lst


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