



'''simple docstring'''





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

import sentencepiece as spm

from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE__      					=     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__      					=     "▁"

SCREAMING_SNAKE_CASE__      					=     {"vocab_file": "sentencepiece.bpe.model"}

SCREAMING_SNAKE_CASE__      					=     {
    "vocab_file": {
        "facebook/mbart-large-50-one-to-many-mmt": (
            "https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model"
        ),
    }
}

SCREAMING_SNAKE_CASE__      					=     {
    "facebook/mbart-large-50-one-to-many-mmt": 1024,
}

# fmt: off
SCREAMING_SNAKE_CASE__      					=     ["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", "af_ZA", "az_AZ", "bn_IN", "fa_IR", "he_IL", "hr_HR", "id_ID", "ka_GE", "km_KH", "mk_MK", "ml_IN", "mn_MN", "mr_IN", "pl_PL", "ps_AF", "pt_XX", "sv_SE", "sw_KE", "ta_IN", "te_IN", "th_TH", "tl_XX", "uk_UA", "ur_PK", "xh_ZA", "gl_ES", "sl_SI"]


class 				snake_case (UpperCamelCase   ):
       lowerCAmelCase__  :Tuple						   =					VOCAB_FILES_NAMES
       lowerCAmelCase__  :List[str]						   =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCAmelCase__  :List[str]						   =					PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase__  :Any						   =					["input_ids", "attention_mask"]

       lowerCAmelCase__  :List[int]						   =					[]
       lowerCAmelCase__  :List[int]						   =					[]



       def __init__(				self     ,UpperCAmelCase_     ,UpperCAmelCase_=None     ,UpperCAmelCase_=None     ,UpperCAmelCase_="</s>"     ,UpperCAmelCase_="</s>"     ,UpperCAmelCase_="<s>"     ,UpperCAmelCase_="<unk>"     ,UpperCAmelCase_="<pad>"     ,UpperCAmelCase_="<mask>"     ,UpperCAmelCase_ = None     ,**UpperCAmelCase_     ,)  ->							None:
           # Mask token behave like a normal word, i.e. include the space before it
           lowercase__		       =						AddedToken(UpperCAmelCase_     ,lstrip=UpperCAmelCase_     ,rstrip=UpperCAmelCase_      ) if isinstance(UpperCAmelCase_     ,UpperCAmelCase_      ) else mask_token

           lowercase__		       =						{} if sp_model_kwargs is None else sp_model_kwargs

           lowercase__		       =						kwargs.get("additional_special_tokens"     ,[]      )
           kwargs["additional_special_tokens"] += [
               code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
           ]

           super().__init__(
               src_lang=UpperCAmelCase_     ,tgt_lang=UpperCAmelCase_     ,eos_token=UpperCAmelCase_     ,unk_token=UpperCAmelCase_     ,sep_token=UpperCAmelCase_     ,cls_token=UpperCAmelCase_     ,pad_token=UpperCAmelCase_     ,mask_token=UpperCAmelCase_     ,sp_model_kwargs=self.sp_model_kwargs     ,**UpperCAmelCase_     ,)

           lowercase__		       =						spm.SentencePieceProcessor(**self.sp_model_kwargs      )
           self.sp_model.Load(str(UpperCAmelCase_      )      )
           lowercase__		       =						vocab_file

           # Original fairseq vocab and spm vocab must be "aligned":
           # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
           # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
           # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
           # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

           # Mimic fairseq token-to-id alignment for the first 4 token
           lowercase__		       =						{"<s>": 0, "<pad>": 1, "</s>": 2, "<unk>": 3}

           # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
           lowercase__		       =						1

           lowercase__		       =						len(self.sp_model      )
           lowercase__		       =						{
               code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(UpperCAmelCase_      )
           }
           lowercase__		       =						{v: k for k, v in self.lang_code_to_id.items()}
           lowercase__		       =						len(self.sp_model      ) + len(self.lang_code_to_id      ) + self.fairseq_offset

           self.fairseq_tokens_to_ids.update(self.lang_code_to_id      )
           lowercase__		       =						{v: k for k, v in self.fairseq_tokens_to_ids.items()}

           lowercase__		       =						src_lang if src_lang is not None else "en_XX"
           lowercase__		       =						self.lang_code_to_id[self._src_lang]
           lowercase__		       =						tgt_lang
           self.set_src_lang_special_tokens(self._src_lang      )



       @property
       def 							_a      (				self      )  ->							int:
           return len(self.sp_model      ) + len(self.lang_code_to_id      ) + self.fairseq_offset + 1  # Plus 1 for the mask token



       @property
       def 							_a      (				self      )  ->							str:
           return self._src_lang



       @src_lang.setter
       def 							_a      (				self     ,UpperCAmelCase_      )  ->							None:
           lowercase__		       =						new_src_lang
           self.set_src_lang_special_tokens(self._src_lang      )



       def __getstate__(				self      )  ->							Dict:
           lowercase__		       =						self.__dict__.copy()
           lowercase__		       =						None
           return state



       def __setstate__(				self     ,UpperCAmelCase_      )  ->							None:
           lowercase__		       =						d

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

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



       def 							_a      (				self      )  ->							Dict:
           lowercase__		       =						{self.convert_ids_to_tokens(UpperCAmelCase_      ): i for i in range(self.vocab_size      )}
           vocab.update(self.added_tokens_encoder      )
           return vocab



       def 							_a      (				self     ,UpperCAmelCase_      )  ->							List[str]:
           return self.sp_model.encode(UpperCAmelCase_     ,out_type=UpperCAmelCase_      )



       def 							_a      (				self     ,UpperCAmelCase_      )  ->							int:
           if token in self.fairseq_tokens_to_ids:
               return self.fairseq_tokens_to_ids[token]
           lowercase__		       =						self.sp_model.PieceToId(UpperCAmelCase_      )

           # Need to return unknown token if the SP model returned 0
           return spm_id + self.fairseq_offset if spm_id else self.unk_token_id



       def 							_a      (				self     ,UpperCAmelCase_      )  ->							str:
           if index in self.fairseq_ids_to_tokens:
               return self.fairseq_ids_to_tokens[index]
           return self.sp_model.IdToPiece(index - self.fairseq_offset      )



       def 							_a      (				self     ,UpperCAmelCase_      )  ->							Dict:
           lowercase__		       =						[]
           lowercase__		       =						""
           lowercase__		       =						False
           for token in tokens:
               # make sure that special tokens are not decoded using sentencepiece model
               if token in self.all_special_tokens:
                   if not prev_is_special:
                       out_string += " "
                   out_string += self.sp_model.decode(UpperCAmelCase_      ) + token
                   lowercase__		       =						True
                   lowercase__		       =						[]
               else:
                   current_sub_tokens.append(UpperCAmelCase_      )
                   lowercase__		       =						False
           out_string += self.sp_model.decode(UpperCAmelCase_      )
           return out_string.strip()



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = None      )  ->							Tuple[str]:
           if not os.path.isdir(UpperCAmelCase_      ):
               logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
               return
           lowercase__		       =						os.path.join(
               UpperCAmelCase_     ,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]      )

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

           return (out_vocab_file,)



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = None     ,UpperCAmelCase_ = False      )  ->							List[int]:

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

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



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = 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 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_     ,UpperCAmelCase_     ,UpperCAmelCase_     ,**UpperCAmelCase_      )  ->							Optional[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"      )
           lowercase__		       =						src_lang
           lowercase__		       =						self(UpperCAmelCase_     ,add_special_tokens=UpperCAmelCase_     ,return_tensors=UpperCAmelCase_     ,**UpperCAmelCase_      )
           lowercase__		       =						self.convert_tokens_to_ids(UpperCAmelCase_      )
           lowercase__		       =						tgt_lang_id
           return inputs



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = "en_XX"     ,UpperCAmelCase_ = None     ,UpperCAmelCase_ = "ro_RO"     ,**UpperCAmelCase_     ,)  ->							BatchEncoding:
           lowercase__		       =						src_lang
           lowercase__		       =						tgt_lang
           return super().prepare_seqaseq_batch(UpperCAmelCase_     ,UpperCAmelCase_     ,**UpperCAmelCase_      )



       def 							_a      (				self      )  ->							Optional[int]:
           return self.set_src_lang_special_tokens(self.src_lang      )



       def 							_a      (				self      )  ->							List[str]:
           return self.set_tgt_lang_special_tokens(self.tgt_lang      )



       def 							_a      (				self     ,UpperCAmelCase_      )  ->							None:
           lowercase__		       =						self.lang_code_to_id[src_lang]
           lowercase__		       =						[self.cur_lang_code_id]
           lowercase__		       =						[self.eos_token_id]







       def 							_a      (				self     ,UpperCAmelCase_      )  ->							None:
           lowercase__		       =						self.lang_code_to_id[tgt_lang]
           lowercase__		       =						[self.cur_lang_code_id]
           lowercase__		       =						[self.eos_token_id]









'''simple docstring'''





def        lowerCamelCase  (				_snake_case  :						int     ,_snake_case  :						int       ):





    '''simple docstring'''


    return x if y == 0 else greatest_common_divisor(_snake_case     ,x % y       )




def        lowerCamelCase  (				_snake_case  :						int     ,_snake_case  :						int       ):





    '''simple docstring'''


    return (x * y) // greatest_common_divisor(_snake_case     ,_snake_case       )




def        lowerCamelCase  (				_snake_case  :						int = 20       ):





    '''simple docstring'''


    lowercase__		       =						1
    for i in range(1     ,n + 1       ):
        lowercase__		       =						lcm(_snake_case     ,_snake_case       )
    return g


if __name__ == "__main__":
 print(f'''{solution() = }''')




