



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

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_mbart import MBartTokenizer
else:
		lowercase_	       =			None


lowercase_	       =			logging.get_logger(__name__)


lowercase_	       =			{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowercase_	       =			{
    '''vocab_file''': {
        '''facebook/mbart-large-en-ro''': (
            '''https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model'''
        ),
        '''facebook/mbart-large-cc25''': (
            '''https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model'''
        ),
    },
    '''tokenizer_file''': {
        '''facebook/mbart-large-en-ro''': '''https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json''',
        '''facebook/mbart-large-cc25''': '''https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json''',
    },
}

lowercase_	       =			{
    '''facebook/mbart-large-en-ro''': 10_24,
    '''facebook/mbart-large-cc25''': 10_24,
}

# fmt: off
lowercase_	       =			['''ar_AR''', '''cs_CZ''', '''de_DE''', '''en_XX''', '''es_XX''', '''et_EE''', '''fi_FI''', '''fr_XX''', '''gu_IN''', '''hi_IN''', '''it_IT''', '''ja_XX''', '''kk_KZ''', '''ko_KR''', '''lt_LT''', '''lv_LV''', '''my_MM''', '''ne_NP''', '''nl_XX''', '''ro_RO''', '''ru_RU''', '''si_LK''', '''tr_TR''', '''vi_VN''', '''zh_CN''']






class 						__a (     SCREAMING_SNAKE_CASE				):
	SCREAMING_SNAKE_CASE       =       VOCAB_FILES_NAMES
	SCREAMING_SNAKE_CASE       =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	SCREAMING_SNAKE_CASE       =       PRETRAINED_VOCAB_FILES_MAP
	SCREAMING_SNAKE_CASE       =       ["input_ids", "attention_mask"]
	SCREAMING_SNAKE_CASE       =       MBartTokenizer

	SCREAMING_SNAKE_CASE       =       []
	SCREAMING_SNAKE_CASE       =       []



	def __init__(						self							:    str				,	snake_case_							:    Optional[int]=None				,	snake_case_							:    List[str]=None				,	snake_case_							:    Optional[int]="<s>"				,	snake_case_							:    Tuple="</s>"				,	snake_case_							:    List[str]="</s>"				,	snake_case_							:    Tuple="<s>"				,	snake_case_							:    Dict="<unk>"				,	snake_case_							:    Optional[Any]="<pad>"				,	snake_case_							:    str="<mask>"				,	snake_case_							:    List[Any]=None				,	snake_case_							:    Any=None				,	snake_case_							:    Union[str, Any]=None				,	**snake_case_							:    int				,	)->							str:
						# Mask token behave like a normal word, i.e. include the space before it
						__lowerCAmelCase	   =AddedToken(__A				,	lstrip=__A				,	rstrip=__A) if isinstance(__A				,	__A) else mask_token

						super().__init__(
						    vocab_file=__A				,	tokenizer_file=__A				,	bos_token=__A				,	eos_token=__A				,	sep_token=__A				,	cls_token=__A				,	unk_token=__A				,	pad_token=__A				,	mask_token=__A				,	src_lang=__A				,	tgt_lang=__A				,	additional_special_tokens=__A				,	**__A				,	)

						__lowerCAmelCase	   =vocab_file
						__lowerCAmelCase	   =False if not self.vocab_file else True

						__lowerCAmelCase	   =FAIRSEQ_LANGUAGE_CODES.copy()

						if additional_special_tokens is not None:
											# Only add those special tokens if they are not already there.
											_additional_special_tokens.extend(
											    [t for t in additional_special_tokens if t not in _additional_special_tokens])

						self.add_special_tokens({"""additional_special_tokens""": _additional_special_tokens})
						__lowerCAmelCase	   ={
						    lang_code: self.convert_tokens_to_ids(__A) for lang_code in FAIRSEQ_LANGUAGE_CODES
						}

						__lowerCAmelCase	   =src_lang if src_lang is not None else """en_XX"""
						__lowerCAmelCase	   =self.convert_tokens_to_ids(self._src_lang)
						__lowerCAmelCase	   =tgt_lang
						self.set_src_lang_special_tokens(self._src_lang)



	@property
	def 		UpperCamelCase							(						self							:    Union[str, Any])->							str:
						return self._src_lang



	@src_lang.setter
	def 		UpperCamelCase							(						self							:    List[Any]				,	snake_case_							:    str)->							None:
						__lowerCAmelCase	   =new_src_lang
						self.set_src_lang_special_tokens(self._src_lang)



	def 		UpperCamelCase							(						self							:    Union[str, Any]				,	snake_case_							:    List[int]				,	snake_case_							:    Optional[List[int]] = None)->							List[int]:
						if token_ids_a is None:
											return self.prefix_tokens + token_ids_a + self.suffix_tokens
						# 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.suffix_tokens



	def 		UpperCamelCase							(						self							:    str				,	snake_case_							:    List[int]				,	snake_case_							:    Optional[List[int]] = None)->							List[int]:
						__lowerCAmelCase	   =[self.sep_token_id]
						__lowerCAmelCase	   =[self.cls_token_id]

						if token_ids_a is None:
											return len(cls + token_ids_a + sep) * [0]
						return len(cls + token_ids_a + sep + sep + token_ids_a + sep) * [0]



	def 		UpperCamelCase							(						self							:    List[Any]				,	snake_case_							:    List[Any]				,	snake_case_							:    str				,	snake_case_							:    Optional[str]				,	snake_case_							:    Optional[str]				,	**snake_case_							:    Any)->							Any:
						if src_lang is None or tgt_lang is None:
											raise ValueError("""Translation requires a `src_lang` and a `tgt_lang` for this model""")
						__lowerCAmelCase	   =src_lang
						__lowerCAmelCase	   =self(__A				,	add_special_tokens=__A				,	return_tensors=__A				,	**__A)
						__lowerCAmelCase	   =self.convert_tokens_to_ids(__A)
						__lowerCAmelCase	   =tgt_lang_id
						return inputs



	def 		UpperCamelCase							(						self							:    List[str]				,	snake_case_							:    List[str]				,	snake_case_							:    str = "en_XX"				,	snake_case_							:    Optional[List[str]] = None				,	snake_case_							:    str = "ro_RO"				,	**snake_case_							:    int				,	)->							BatchEncoding:
						__lowerCAmelCase	   =src_lang
						__lowerCAmelCase	   =tgt_lang
						return super().prepare_seqaseq_batch(__A				,	__A				,	**__A)



	def 		UpperCamelCase							(						self							:    List[Any])->							Any:
						return self.set_src_lang_special_tokens(self.src_lang)



	def 		UpperCamelCase							(						self							:    Optional[Any])->							Dict:
						return self.set_tgt_lang_special_tokens(self.tgt_lang)



	def 		UpperCamelCase							(						self							:    Tuple				,	snake_case_							:    List[Any])->							None:
						__lowerCAmelCase	   =self.convert_tokens_to_ids(__A)
						__lowerCAmelCase	   =[]
						__lowerCAmelCase	   =[self.eos_token_id, self.cur_lang_code]

						__lowerCAmelCase	   =self.convert_ids_to_tokens(self.prefix_tokens)
						__lowerCAmelCase	   =self.convert_ids_to_tokens(self.suffix_tokens)

						__lowerCAmelCase	   =processors.TemplateProcessing(
						    single=prefix_tokens_str + ["""$A"""] + suffix_tokens_str				,	pair=prefix_tokens_str + ["""$A""", """$B"""] + suffix_tokens_str				,	special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str				,	self.prefix_tokens + self.suffix_tokens))				,	)



	def 		UpperCamelCase							(						self							:    Optional[int]				,	snake_case_							:    str)->							None:
						__lowerCAmelCase	   =self.convert_tokens_to_ids(__A)
						__lowerCAmelCase	   =[]
						__lowerCAmelCase	   =[self.eos_token_id, self.cur_lang_code]

						__lowerCAmelCase	   =self.convert_ids_to_tokens(self.prefix_tokens)
						__lowerCAmelCase	   =self.convert_ids_to_tokens(self.suffix_tokens)

						__lowerCAmelCase	   =processors.TemplateProcessing(
						    single=prefix_tokens_str + ["""$A"""] + suffix_tokens_str				,	pair=prefix_tokens_str + ["""$A""", """$B"""] + suffix_tokens_str				,	special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str				,	self.prefix_tokens + self.suffix_tokens))				,	)



	def 		UpperCamelCase							(						self							:    List[str]				,	snake_case_							:    str				,	snake_case_							:    Optional[str] = None)->							Tuple[str]:
						if not self.can_save_slow_tokenizer:
											raise ValueError(
											    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
											    """tokenizer.""")

						if not os.path.isdir(__A):
											logger.error(F"""Vocabulary path ({save_directory}) should be a directory.""")
											return
						__lowerCAmelCase	   =os.path.join(
						    __A				,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""])

						if os.path.abspath(self.vocab_file) != os.path.abspath(__A):
											copyfile(self.vocab_file				,	__A)

						return (out_vocab_file,)









def 					__lowerCAmelCase		(  __lowerCamelCase	:    list	)  ->						list:
					__lowerCAmelCase	   =False
					while is_sorted is False:  # Until all the indices are traversed keep looping
										__lowerCAmelCase	   =True
										for i in range(0				,   len(__lowerCamelCase	) - 1				,   2	):  # iterating over all even indices
															if input_list[i] > input_list[i + 1]:
																				__lowerCAmelCase   ,	__lowerCAmelCase	   =input_list[i + 1], input_list[i]
																				# swapping if elements not in order
																				__lowerCAmelCase	   =False

										for i in range(1				,   len(__lowerCamelCase	) - 1				,   2	):  # iterating over all odd indices
															if input_list[i] > input_list[i + 1]:
																				__lowerCAmelCase   ,	__lowerCAmelCase	   =input_list[i + 1], input_list[i]
																				# swapping if elements not in order
																				__lowerCAmelCase	   =False
					return input_list


if __name__ == "__main__":
				print('''Enter list to be sorted''')
				lowercase_	       =			[int(x) for x in input().split()]
				# inputing elements of the list in one line
				lowercase_	       =			odd_even_sort(input_list)
				print('''The sorted list is''')
				print(sorted_list)




