
'''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_mbart import MBartTokenizer
else:
							_lowercase			:  Optional[int]   							=	None


_lowercase			:  str   							=	logging.get_logger(__name__)


_lowercase			:  Any   							=	{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

_lowercase			:  List[Any]   							=	{
    "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			:  List[Any]   							=	{
    "facebook/mbart-large-en-ro": 1_0_2_4,
    "facebook/mbart-large-cc25": 1_0_2_4,
}

# fmt: off
_lowercase			:  int   							=	["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 			lowerCAmelCase__       (  lowerCamelCase_					):
					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    ,							__SCREAMING_SNAKE_CASE=None    ,							__SCREAMING_SNAKE_CASE=None    ,							__SCREAMING_SNAKE_CASE="<s>"    ,							__SCREAMING_SNAKE_CASE="</s>"    ,							__SCREAMING_SNAKE_CASE="</s>"    ,							__SCREAMING_SNAKE_CASE="<s>"    ,							__SCREAMING_SNAKE_CASE="<unk>"    ,							__SCREAMING_SNAKE_CASE="<pad>"    ,							__SCREAMING_SNAKE_CASE="<mask>"    ,							__SCREAMING_SNAKE_CASE=None    ,							__SCREAMING_SNAKE_CASE=None    ,							__SCREAMING_SNAKE_CASE=None    ,							**__SCREAMING_SNAKE_CASE    ,							):


											"""simple docstring"""





											lowercase_     :					Optional[int]													=	AddedToken(__SCREAMING_SNAKE_CASE    ,							lstrip=__SCREAMING_SNAKE_CASE    ,							rstrip=__SCREAMING_SNAKE_CASE		) if isinstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		) else mask_token

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

											lowercase_     :					List[str]													=	vocab_file
											lowercase_     :					List[str]													=	False if not self.vocab_file else True

											lowercase_     :					Tuple													=	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_     :					str													=	{
											    lang_code: self.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE		) for lang_code in FAIRSEQ_LANGUAGE_CODES
											}

											lowercase_     :					int													=	src_lang if src_lang is not None else '''en_XX'''
											lowercase_     :					Optional[Any]													=	self.convert_tokens_to_ids(self._src_lang		)
											lowercase_     :					str													=	tgt_lang
											self.set_src_lang_special_tokens(self._src_lang		)






					@property
					def      _snake_case   (       self		):


											"""simple docstring"""





											return self._src_lang






					@src_lang.setter
					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					Optional[int]													=	new_src_lang
											self.set_src_lang_special_tokens(self._src_lang		)






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = 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    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = None		):


											"""simple docstring"""





											lowercase_     :					str													=	[self.sep_token_id]
											lowercase_     :					List[Any]													=	[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    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							**__SCREAMING_SNAKE_CASE		):


											"""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'''		)
											lowercase_     :					Dict													=	src_lang
											lowercase_     :					Optional[Any]													=	self(__SCREAMING_SNAKE_CASE    ,							add_special_tokens=__SCREAMING_SNAKE_CASE    ,							return_tensors=__SCREAMING_SNAKE_CASE    ,							**__SCREAMING_SNAKE_CASE		)
											lowercase_     :					List[Any]													=	self.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Union[str, Any]													=	tgt_lang_id
											return inputs






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = "en_XX"    ,							__SCREAMING_SNAKE_CASE = None    ,							__SCREAMING_SNAKE_CASE = "ro_RO"    ,							**__SCREAMING_SNAKE_CASE    ,							):


											"""simple docstring"""





											lowercase_     :					Optional[int]													=	src_lang
											lowercase_     :					int													=	tgt_lang
											return super().prepare_seqaseq_batch(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							**__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											return self.set_src_lang_special_tokens(self.src_lang		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											return self.set_tgt_lang_special_tokens(self.tgt_lang		)






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					Optional[Any]													=	self.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Tuple													=	[]
											lowercase_     :					Optional[Any]													=	[self.eos_token_id, self.cur_lang_code]

											lowercase_     :					Any													=	self.convert_ids_to_tokens(self.prefix_tokens		)
											lowercase_     :					Any													=	self.convert_ids_to_tokens(self.suffix_tokens		)

											lowercase_     :					int													=	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    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					Optional[Any]													=	self.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					List[str]													=	[]
											lowercase_     :					Optional[Any]													=	[self.eos_token_id, self.cur_lang_code]

											lowercase_     :					int													=	self.convert_ids_to_tokens(self.prefix_tokens		)
											lowercase_     :					List[Any]													=	self.convert_ids_to_tokens(self.suffix_tokens		)

											lowercase_     :					Tuple													=	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    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = 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(__SCREAMING_SNAKE_CASE		):
																	logger.error(F'''Vocabulary path ({save_directory}) should be a directory.'''		)
																	return
											lowercase_     :					str													=	os.path.join(
											    __SCREAMING_SNAKE_CASE    ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)

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

											return (out_vocab_file,)





'''simple docstring'''







from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			int							):



						"""simple docstring"""





						lowercase_     :					Tuple													=	prime_factors(__SCREAMING_SNAKE_CASE							)
						if is_square_free(__SCREAMING_SNAKE_CASE							):
												return -1 if len(__SCREAMING_SNAKE_CASE							) % 2 else 1
						return 0


if __name__ == "__main__":
							import doctest

							doctest.testmod()



