




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__				:     Optional[Any] 		=						None


lowercase__				:     str 		=						logging.get_logger(__name__)


lowercase__				:     Tuple 		=						{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

lowercase__				:     List[str] 		=						{
    "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__				:     Any 		=						{
    "facebook/mbart-large-en-ro": 1024,
    "facebook/mbart-large-cc25": 1024,
}

# fmt: off
lowercase__				:     Union[str, Any] 		=						["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 		UpperCAmelCase   (				SCREAMING_SNAKE_CASE_			):







						'''simple docstring'''





						lowerCAmelCase_     		=   VOCAB_FILES_NAMES
						lowerCAmelCase_     		=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowerCAmelCase_     		=   PRETRAINED_VOCAB_FILES_MAP
						lowerCAmelCase_     		=   ['''input_ids''', '''attention_mask''']
						lowerCAmelCase_     		=   MBartTokenizer

						lowerCAmelCase_     		=   []
						lowerCAmelCase_     		=   []






						def __init__(						self							:     Optional[Any]       ,	__lowercase							:     Optional[int]=None       ,	__lowercase							:     Any=None       ,	__lowercase							:     Any="<s>"       ,	__lowercase							:     Optional[Any]="</s>"       ,	__lowercase							:     List[str]="</s>"       ,	__lowercase							:     List[Any]="<s>"       ,	__lowercase							:     Union[str, Any]="<unk>"       ,	__lowercase							:     str="<pad>"       ,	__lowercase							:     Any="<mask>"       ,	__lowercase							:     Optional[Any]=None       ,	__lowercase							:     str=None       ,	__lowercase							:     Tuple=None       ,	**__lowercase							:     Dict       ,	):






							"""simple docstring"""






							snake_case_		    =     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       ,	)

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

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

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






						@property
						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							return self._src_lang






						@src_lang.setter
						def        snake_case__						(						self							:     Union[str, Any]       ,	__lowercase							:     str						):






							"""simple docstring"""






							snake_case_		    =     new_src_lang
							self.set_src_lang_special_tokens(self._src_lang						)






						def        snake_case__						(						self							:     List[Any]       ,	__lowercase							:     List[int]       ,	__lowercase							:     Optional[List[int]] = None						):






							"""simple docstring"""






							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        snake_case__						(						self							:     int       ,	__lowercase							:     List[int]       ,	__lowercase							:     Optional[List[int]] = None						):






							"""simple docstring"""






							snake_case_		    =     [self.sep_token_id]
							snake_case_		    =     [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        snake_case__						(						self							:     Optional[Any]       ,	__lowercase							:     Optional[Any]       ,	__lowercase							:     str       ,	__lowercase							:     Optional[str]       ,	__lowercase							:     Optional[str]       ,	**__lowercase							:     Optional[int]						):






							"""simple docstring"""






							if src_lang is None or tgt_lang is None:
								raise ValueError("Translation requires a `src_lang` and a `tgt_lang` for this model"						)
							snake_case_		    =     src_lang
							snake_case_		    =     self(_a       ,	add_special_tokens=_a       ,	return_tensors=_a       ,	**_a						)
							snake_case_		    =     self.convert_tokens_to_ids(_a						)
							snake_case_		    =     tgt_lang_id
							return inputs






						def        snake_case__						(						self							:     Any       ,	__lowercase							:     List[str]       ,	__lowercase							:     str = "en_XX"       ,	__lowercase							:     Optional[List[str]] = None       ,	__lowercase							:     str = "ro_RO"       ,	**__lowercase							:     Tuple       ,	):






							"""simple docstring"""






							snake_case_		    =     src_lang
							snake_case_		    =     tgt_lang
							return super().prepare_seqaseq_batch(_a       ,	_a       ,	**_a						)






						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							return self.set_src_lang_special_tokens(self.src_lang						)






						def        snake_case__						(						self							:     Dict						):






							"""simple docstring"""






							return self.set_tgt_lang_special_tokens(self.tgt_lang						)






						def        snake_case__						(						self							:     Tuple       ,	__lowercase							:     List[str]						):






							"""simple docstring"""






							snake_case_		    =     self.convert_tokens_to_ids(_a						)
							snake_case_		    =     []
							snake_case_		    =     [self.eos_token_id, self.cur_lang_code]

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

							snake_case_		    =     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        snake_case__						(						self							:     Optional[Any]       ,	__lowercase							:     str						):






							"""simple docstring"""






							snake_case_		    =     self.convert_tokens_to_ids(_a						)
							snake_case_		    =     []
							snake_case_		    =     [self.eos_token_id, self.cur_lang_code]

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

							snake_case_		    =     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        snake_case__						(						self							:     Any       ,	__lowercase							:     str       ,	__lowercase							:     Optional[str] = None						):






							"""simple docstring"""






							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
							snake_case_		    =     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,)





'''simple docstring'''





def        a_     (							_lowerCAmelCase       )      ->      list:
  if n_term == "":
    return []
  __lowerCamelCase       :       list           = []
  for temp in range(int(_lowerCAmelCase       )       ):
    series.append(F'1/{temp + 1}' if series else '1'       )
  return series


if __name__ == "__main__":
   _UpperCamelCase											=						input('Enter the last number (nth term) of the Harmonic Series')
   print('Formula of Harmonic Series => 1+1/2+1/3 ..... 1/n')
   print(harmonic_series(nth_term))






