

'''simple docstring'''
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_nllb import NllbTokenizer
else:
     _UpperCAmelCase  :		List[Any]  =		None


_UpperCAmelCase  :		int  =		logging.get_logger(__name__)


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

_UpperCAmelCase  :		Optional[int]  =		{
    '''vocab_file''': {
        '''facebook/nllb-200-distilled-600M''': (
            '''https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/sentencepiece.bpe.model'''
        ),
    },
    '''tokenizer_file''': {
        '''facebook/nllb-200-distilled-600M''': (
            '''https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/tokenizer.json'''
        ),
    },
}

_UpperCAmelCase  :		List[str]  =		{
    '''facebook/nllb-large-en-ro''': 10_24,
    '''facebook/nllb-200-distilled-600M''': 10_24,
}

# fmt: off
_UpperCAmelCase  :		Dict  =		['''ace_Arab''', '''ace_Latn''', '''acm_Arab''', '''acq_Arab''', '''aeb_Arab''', '''afr_Latn''', '''ajp_Arab''', '''aka_Latn''', '''amh_Ethi''', '''apc_Arab''', '''arb_Arab''', '''ars_Arab''', '''ary_Arab''', '''arz_Arab''', '''asm_Beng''', '''ast_Latn''', '''awa_Deva''', '''ayr_Latn''', '''azb_Arab''', '''azj_Latn''', '''bak_Cyrl''', '''bam_Latn''', '''ban_Latn''', '''bel_Cyrl''', '''bem_Latn''', '''ben_Beng''', '''bho_Deva''', '''bjn_Arab''', '''bjn_Latn''', '''bod_Tibt''', '''bos_Latn''', '''bug_Latn''', '''bul_Cyrl''', '''cat_Latn''', '''ceb_Latn''', '''ces_Latn''', '''cjk_Latn''', '''ckb_Arab''', '''crh_Latn''', '''cym_Latn''', '''dan_Latn''', '''deu_Latn''', '''dik_Latn''', '''dyu_Latn''', '''dzo_Tibt''', '''ell_Grek''', '''eng_Latn''', '''epo_Latn''', '''est_Latn''', '''eus_Latn''', '''ewe_Latn''', '''fao_Latn''', '''pes_Arab''', '''fij_Latn''', '''fin_Latn''', '''fon_Latn''', '''fra_Latn''', '''fur_Latn''', '''fuv_Latn''', '''gla_Latn''', '''gle_Latn''', '''glg_Latn''', '''grn_Latn''', '''guj_Gujr''', '''hat_Latn''', '''hau_Latn''', '''heb_Hebr''', '''hin_Deva''', '''hne_Deva''', '''hrv_Latn''', '''hun_Latn''', '''hye_Armn''', '''ibo_Latn''', '''ilo_Latn''', '''ind_Latn''', '''isl_Latn''', '''ita_Latn''', '''jav_Latn''', '''jpn_Jpan''', '''kab_Latn''', '''kac_Latn''', '''kam_Latn''', '''kan_Knda''', '''kas_Arab''', '''kas_Deva''', '''kat_Geor''', '''knc_Arab''', '''knc_Latn''', '''kaz_Cyrl''', '''kbp_Latn''', '''kea_Latn''', '''khm_Khmr''', '''kik_Latn''', '''kin_Latn''', '''kir_Cyrl''', '''kmb_Latn''', '''kon_Latn''', '''kor_Hang''', '''kmr_Latn''', '''lao_Laoo''', '''lvs_Latn''', '''lij_Latn''', '''lim_Latn''', '''lin_Latn''', '''lit_Latn''', '''lmo_Latn''', '''ltg_Latn''', '''ltz_Latn''', '''lua_Latn''', '''lug_Latn''', '''luo_Latn''', '''lus_Latn''', '''mag_Deva''', '''mai_Deva''', '''mal_Mlym''', '''mar_Deva''', '''min_Latn''', '''mkd_Cyrl''', '''plt_Latn''', '''mlt_Latn''', '''mni_Beng''', '''khk_Cyrl''', '''mos_Latn''', '''mri_Latn''', '''zsm_Latn''', '''mya_Mymr''', '''nld_Latn''', '''nno_Latn''', '''nob_Latn''', '''npi_Deva''', '''nso_Latn''', '''nus_Latn''', '''nya_Latn''', '''oci_Latn''', '''gaz_Latn''', '''ory_Orya''', '''pag_Latn''', '''pan_Guru''', '''pap_Latn''', '''pol_Latn''', '''por_Latn''', '''prs_Arab''', '''pbt_Arab''', '''quy_Latn''', '''ron_Latn''', '''run_Latn''', '''rus_Cyrl''', '''sag_Latn''', '''san_Deva''', '''sat_Beng''', '''scn_Latn''', '''shn_Mymr''', '''sin_Sinh''', '''slk_Latn''', '''slv_Latn''', '''smo_Latn''', '''sna_Latn''', '''snd_Arab''', '''som_Latn''', '''sot_Latn''', '''spa_Latn''', '''als_Latn''', '''srd_Latn''', '''srp_Cyrl''', '''ssw_Latn''', '''sun_Latn''', '''swe_Latn''', '''swh_Latn''', '''szl_Latn''', '''tam_Taml''', '''tat_Cyrl''', '''tel_Telu''', '''tgk_Cyrl''', '''tgl_Latn''', '''tha_Thai''', '''tir_Ethi''', '''taq_Latn''', '''taq_Tfng''', '''tpi_Latn''', '''tsn_Latn''', '''tso_Latn''', '''tuk_Latn''', '''tum_Latn''', '''tur_Latn''', '''twi_Latn''', '''tzm_Tfng''', '''uig_Arab''', '''ukr_Cyrl''', '''umb_Latn''', '''urd_Arab''', '''uzn_Latn''', '''vec_Latn''', '''vie_Latn''', '''war_Latn''', '''wol_Latn''', '''xho_Latn''', '''ydd_Hebr''', '''yor_Latn''', '''yue_Hant''', '''zho_Hans''', '''zho_Hant''', '''zul_Latn''']

class 						__magic_name__   (							__SCREAMING_SNAKE_CASE ):
 UpperCamelCase__     =       VOCAB_FILES_NAMES
 UpperCamelCase__     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCamelCase__     =       PRETRAINED_VOCAB_FILES_MAP
 UpperCamelCase__     =       ['input_ids', 'attention_mask']
 UpperCamelCase__     =       NllbTokenizer

 UpperCamelCase__     =       []
 UpperCamelCase__     =       []







 def __init__(       self  , snake_case_=None  , snake_case_=None  , snake_case_="<s>"  , snake_case_="</s>"  , snake_case_="</s>"  , snake_case_="<s>"  , snake_case_="<unk>"  , snake_case_="<pad>"  , snake_case_="<mask>"  , snake_case_=None  , snake_case_=None  , snake_case_=None  , snake_case_=False  , **snake_case_  , ):
   # Mask token behave like a normal word, i.e. include the space before it
   lowercase									=AddedToken(snake_case_  , lstrip=snake_case_  , rstrip=snake_case_   ) if isinstance(snake_case_  , snake_case_   ) else mask_token
   lowercase									=legacy_behaviour
   super().__init__(
       vocab_file=snake_case_  , tokenizer_file=snake_case_  , bos_token=snake_case_  , eos_token=snake_case_  , sep_token=snake_case_  , cls_token=snake_case_  , unk_token=snake_case_  , pad_token=snake_case_  , mask_token=snake_case_  , src_lang=snake_case_  , tgt_lang=snake_case_  , additional_special_tokens=snake_case_  , legacy_behaviour=snake_case_  , **snake_case_  , )

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

   lowercase									=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}   )
   lowercase									={
       lang_code: self.convert_tokens_to_ids(snake_case_   ) for lang_code in FAIRSEQ_LANGUAGE_CODES
   }

   lowercase									=src_lang if src_lang is not None else '''eng_Latn'''
   lowercase									=self.convert_tokens_to_ids(self._src_lang   )
   lowercase									=tgt_lang
   self.set_src_lang_special_tokens(self._src_lang   )







 @property
 def 						_A(       self   ):
   return self._src_lang







 @src_lang.setter
 def 						_A(       self  , snake_case_   ):
   lowercase									=new_src_lang
   self.set_src_lang_special_tokens(self._src_lang   )







 def 						_A(       self  , snake_case_  , snake_case_ = None   ):
   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 						_A(       self  , snake_case_  , snake_case_ = None   ):
   lowercase									=[self.sep_token_id]
   lowercase									=[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 						_A(       self  , snake_case_  , snake_case_  , snake_case_  , snake_case_  , **snake_case_   ):
   if src_lang is None or tgt_lang is None:
     raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''   )
   lowercase									=src_lang
   lowercase									=self(snake_case_  , add_special_tokens=snake_case_  , return_tensors=snake_case_  , **snake_case_   )
   lowercase									=self.convert_tokens_to_ids(snake_case_   )
   lowercase									=tgt_lang_id
   return inputs







 def 						_A(       self  , snake_case_  , snake_case_ = "eng_Latn"  , snake_case_ = None  , snake_case_ = "fra_Latn"  , **snake_case_  , ):
   lowercase									=src_lang
   lowercase									=tgt_lang
   return super().prepare_seqaseq_batch(snake_case_  , snake_case_  , **snake_case_   )







 def 						_A(       self   ):
   return self.set_src_lang_special_tokens(self.src_lang   )







 def 						_A(       self   ):
   return self.set_tgt_lang_special_tokens(self.tgt_lang   )







 def 						_A(       self  , snake_case_   ):
   lowercase									=self.convert_tokens_to_ids(snake_case_   )

   if self.legacy_behaviour:
     lowercase									=[]
     lowercase									=[self.eos_token_id, self.cur_lang_code]
   else:
     lowercase									=[self.cur_lang_code]
     lowercase									=[self.eos_token_id]

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

   lowercase									=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 						_A(       self  , snake_case_   ):
   lowercase									=self.convert_tokens_to_ids(snake_case_   )
   if self.legacy_behaviour:
     lowercase									=[]
     lowercase									=[self.eos_token_id, self.cur_lang_code]
   else:
     lowercase									=[self.cur_lang_code]
     lowercase									=[self.eos_token_id]

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

   lowercase									=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 						_A(       self  , snake_case_  , snake_case_ = None   ):
   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(snake_case_   ):
     logger.error(f'Vocabulary path ({save_directory}) should be a directory.'   )
     return
   lowercase									=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_   ):
     copyfile(self.vocab_file  , snake_case_   )

   return (out_vocab_file,)








"""simple docstring"""



def 	SCREAMING_SNAKE_CASE__       (  snake_case       : list				)->		list:






     '''simple docstring'''



     UpperCAmelCase__						:    List[str]							=							False
     while is_sorted is False:  # Until all the indices are traversed keep looping
          UpperCAmelCase__						:    List[Any]							=							True
          for i in range(0			,					len(snake_case				) - 1			,					2				):  # iterating over all even indices
               if input_list[i] > input_list[i + 1]:
                    UpperCAmelCase__							,				UpperCAmelCase__						:    Optional[int]							=							input_list[i + 1], input_list[i]
                    # swapping if elements not in order
                    UpperCAmelCase__						:    int							=							False

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


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


