





import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


snake_case_							=			logging.get_logger(__name__)

snake_case_							=			'''▁'''

snake_case_							=			{
    '''vocab_file''': '''vocab.json''',
    '''spm_file''': '''sentencepiece.bpe.model''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

snake_case_							=			{
    '''vocab_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json''',
    },
    '''spm_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_config_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json''',
    },
}

snake_case_							=			{
    '''facebook/m2m100_418M''': 1_0_2_4,
}

# fmt: off
snake_case_							=			{
    '''m2m100''': ['''af''', '''am''', '''ar''', '''ast''', '''az''', '''ba''', '''be''', '''bg''', '''bn''', '''br''', '''bs''', '''ca''', '''ceb''', '''cs''', '''cy''', '''da''', '''de''', '''el''', '''en''', '''es''', '''et''', '''fa''', '''ff''', '''fi''', '''fr''', '''fy''', '''ga''', '''gd''', '''gl''', '''gu''', '''ha''', '''he''', '''hi''', '''hr''', '''ht''', '''hu''', '''hy''', '''id''', '''ig''', '''ilo''', '''is''', '''it''', '''ja''', '''jv''', '''ka''', '''kk''', '''km''', '''kn''', '''ko''', '''lb''', '''lg''', '''ln''', '''lo''', '''lt''', '''lv''', '''mg''', '''mk''', '''ml''', '''mn''', '''mr''', '''ms''', '''my''', '''ne''', '''nl''', '''no''', '''ns''', '''oc''', '''or''', '''pa''', '''pl''', '''ps''', '''pt''', '''ro''', '''ru''', '''sd''', '''si''', '''sk''', '''sl''', '''so''', '''sq''', '''sr''', '''ss''', '''su''', '''sv''', '''sw''', '''ta''', '''th''', '''tl''', '''tn''', '''tr''', '''uk''', '''ur''', '''uz''', '''vi''', '''wo''', '''xh''', '''yi''', '''yo''', '''zh''', '''zu'''],
    '''wmt21''': ['''en''', '''ha''', '''is''', '''ja''', '''cs''', '''ru''', '''zh''', '''de''']
}
class        snake_case_		(			_A):
							lowerCamelCase    :Union[str, Any]						=     VOCAB_FILES_NAMES
							lowerCamelCase    :List[Any]						=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCamelCase    :str						=     PRETRAINED_VOCAB_FILES_MAP
							lowerCamelCase    :Union[str, Any]						=     ["input_ids", "attention_mask"]

							lowerCamelCase    :List[int]						=     []
							lowerCamelCase    :List[int]						=     []







							def __init__(		self			,     __lowercase			,     __lowercase			,     __lowercase=None			,     __lowercase=None			,     __lowercase="<s>"			,     __lowercase="</s>"			,     __lowercase="</s>"			,     __lowercase="<pad>"			,     __lowercase="<unk>"			,     __lowercase="m2m100"			,     __lowercase = None			,     __lowercase=8			,     **__lowercase			,     )				->   None:
									lowerCamelCase   : Union[str, Any]								={} if sp_model_kwargs is None else sp_model_kwargs

									lowerCamelCase   : List[str]								=language_codes
									lowerCamelCase   : int								=FAIRSEQ_LANGUAGE_CODES[language_codes]
									lowerCamelCase   : str								={lang_code: F"__{lang_code}__" for lang_code in fairseq_language_code}

									lowerCamelCase   : List[Any]								=kwargs.get('''additional_special_tokens'''			,     []   )
									kwargs["additional_special_tokens"] += [
									    self.get_lang_token(__lowercase   )
									    for lang_code in fairseq_language_code
									    if self.get_lang_token(__lowercase   ) not in kwargs["additional_special_tokens"]
									]

									super().__init__(
									    src_lang=__lowercase			,     tgt_lang=__lowercase			,     bos_token=__lowercase			,     eos_token=__lowercase			,     sep_token=__lowercase			,     unk_token=__lowercase			,     pad_token=__lowercase			,     language_codes=__lowercase			,     sp_model_kwargs=self.sp_model_kwargs			,     num_madeup_words=__lowercase			,     **__lowercase			,     )

									lowerCamelCase   : Dict								=vocab_file
									lowerCamelCase   : List[Any]								=load_json(__lowercase   )
									lowerCamelCase   : Optional[int]								={v: k for k, v in self.encoder.items()}
									lowerCamelCase   : List[Any]								=spm_file
									lowerCamelCase   : str								=load_spm(__lowercase			,     self.sp_model_kwargs   )

									lowerCamelCase   : Tuple								=len(self.encoder   )

									lowerCamelCase   : Optional[int]								={
									    self.get_lang_token(__lowercase   ): self.encoder_size + i for i, lang_code in enumerate(__lowercase   )
									}
									lowerCamelCase   : Tuple								={lang_code: self.encoder_size + i for i, lang_code in enumerate(__lowercase   )}
									lowerCamelCase   : Tuple								={v: k for k, v in self.lang_token_to_id.items()}

									lowerCamelCase   : Optional[Any]								=src_lang if src_lang is not None else '''en'''
									lowerCamelCase   : Any								=tgt_lang
									lowerCamelCase   : List[Any]								=self.get_lang_id(self._src_lang   )
									self.set_src_lang_special_tokens(self._src_lang   )

									lowerCamelCase   : Optional[Any]								=num_madeup_words







							@property
							def 			__lowercase   (		self   )				->   int:
									return len(self.encoder   ) + len(self.lang_token_to_id   )







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







							@src_lang.setter
							def 			__lowercase   (		self			,     __lowercase   )				->   None:
									lowerCamelCase   : Any								=new_src_lang
									self.set_src_lang_special_tokens(self._src_lang   )







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







							def 			__lowercase   (		self			,     __lowercase   )				->   Optional[Any]:
									if token in self.lang_token_to_id:
											return self.lang_token_to_id[token]
									return self.encoder.get(__lowercase			,     self.encoder[self.unk_token]   )







							def 			__lowercase   (		self			,     __lowercase   )				->   str:
									if index in self.id_to_lang_token:
											return self.id_to_lang_token[index]
									return self.decoder.get(__lowercase			,     self.unk_token   )







							def 			__lowercase   (		self			,     __lowercase   )				->   str:
									lowerCamelCase   : Dict								=[]
									lowerCamelCase   : Dict								=''''''
									for token in tokens:
											# make sure that special tokens are not decoded using sentencepiece model
											if token in self.all_special_tokens:
													out_string += self.sp_model.decode(__lowercase   ) + token
													lowerCamelCase   : str								=[]
											else:
													current_sub_tokens.append(__lowercase   )
									out_string += self.sp_model.decode(__lowercase   )
									return out_string.strip()







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

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

									lowerCamelCase   : int								=[1] * len(self.prefix_tokens   )
									lowerCamelCase   : List[str]								=[1] * len(self.suffix_tokens   )
									if token_ids_a is None:
											return prefix_ones + ([0] * len(__lowercase   )) + suffix_ones
									return prefix_ones + ([0] * len(__lowercase   )) + ([0] * len(__lowercase   )) + suffix_ones







							def 			__lowercase   (		self			,     __lowercase			,     __lowercase = 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 			__lowercase   (		self   )				->   Dict:
									lowerCamelCase   : Dict								={self.convert_ids_to_tokens(__lowercase   ): i for i in range(self.vocab_size   )}
									vocab.update(self.added_tokens_encoder   )
									return vocab







							def __getstate__(		self   )				->   Dict:
									lowerCamelCase   : Optional[Any]								=self.__dict__.copy()
									lowerCamelCase   : Union[str, Any]								=None
									return state







							def __setstate__(		self			,     __lowercase   )				->   None:
									lowerCamelCase   : int								=d

									# for backward compatibility
									if not hasattr(self			,     '''sp_model_kwargs'''   ):
											lowerCamelCase   : Optional[int]								={}

									lowerCamelCase   : Optional[Any]								=load_spm(self.spm_file			,     self.sp_model_kwargs   )







							def 			__lowercase   (		self			,     __lowercase			,     __lowercase = None   )				->   Tuple[str]:
									lowerCamelCase   : Optional[Any]								=Path(__lowercase   )
									if not save_dir.is_dir():
											raise OSError(F"{save_directory} should be a directory"   )
									lowerCamelCase   : List[str]								=save_dir / (
									    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
									)
									lowerCamelCase   : Tuple								=save_dir / (
									    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
									)

									save_json(self.encoder			,     __lowercase   )

									if os.path.abspath(self.spm_file   ) != os.path.abspath(__lowercase   ) and os.path.isfile(self.spm_file   ):
											copyfile(self.spm_file			,     __lowercase   )
									elif not os.path.isfile(self.spm_file   ):
											with open(__lowercase			,     '''wb'''   ) as fi:
													lowerCamelCase   : List[Any]								=self.sp_model.serialized_model_proto()
													fi.write(__lowercase   )

									return (str(__lowercase   ), str(__lowercase   ))







							def 			__lowercase   (		self			,     __lowercase			,     __lowercase = "en"			,     __lowercase = None			,     __lowercase = "ro"			,     **__lowercase			,     )				->   BatchEncoding:
									lowerCamelCase   : Union[str, Any]								=src_lang
									lowerCamelCase   : Optional[int]								=tgt_lang
									self.set_src_lang_special_tokens(self.src_lang   )
									return super().prepare_seqaseq_batch(__lowercase			,     __lowercase			,     **__lowercase   )







							def 			__lowercase   (		self			,     __lowercase			,     __lowercase			,     __lowercase			,     **__lowercase   )				->   Optional[int]:
									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   : List[Any]								=src_lang
									lowerCamelCase   : str								=self(__lowercase			,     add_special_tokens=__lowercase			,     **__lowercase   )
									lowerCamelCase   : Tuple								=self.get_lang_id(__lowercase   )
									lowerCamelCase   : Optional[int]								=tgt_lang_id
									return inputs







							def 			__lowercase   (		self   )				->   List[str]:
									self.set_src_lang_special_tokens(self.src_lang   )







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







							def 			__lowercase   (		self			,     __lowercase   )				->   None:
									lowerCamelCase   : Union[str, Any]								=self.get_lang_token(__lowercase   )
									lowerCamelCase   : List[Any]								=self.lang_token_to_id[lang_token]
									lowerCamelCase   : Optional[Any]								=[self.cur_lang_id]
									lowerCamelCase   : Union[str, Any]								=[self.eos_token_id]







							def 			__lowercase   (		self			,     __lowercase   )				->   None:
									lowerCamelCase   : Tuple								=self.get_lang_token(__lowercase   )
									lowerCamelCase   : Tuple								=self.lang_token_to_id[lang_token]
									lowerCamelCase   : List[Any]								=[self.cur_lang_id]
									lowerCamelCase   : Tuple								=[self.eos_token_id]







							def 			__lowercase   (		self			,     __lowercase   )				->   str:
									return self.lang_code_to_token[lang]







							def 			__lowercase   (		self			,     __lowercase   )				->   int:
									lowerCamelCase   : List[str]								=self.get_lang_token(__lowercase   )
									return self.lang_token_to_id[lang_token]


def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_		)   ->     sentencepiece.SentencePieceProcessor:
		lowerCamelCase   : List[Any]								=sentencepiece.SentencePieceProcessor(**SCREAMING_SNAKE_CASE_		)
		spm.Load(str(SCREAMING_SNAKE_CASE_		)		)
		return spm


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Union[Dict, List]:
		with open(SCREAMING_SNAKE_CASE_							,       '''r'''		) as f:
				return json.load(SCREAMING_SNAKE_CASE_		)



def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_		)   ->     None:
		with open(SCREAMING_SNAKE_CASE_							,       '''w'''		) as f:
				json.dump(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       indent=2		)








def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_ = False		)   ->     bool:
		if n == 2:
				return True
		if not n % 2 or n < 2:
				return False
		if n > 5 and n % 1_0 not in (1, 3, 7, 9):  # can quickly check last digit
				return False
		if n > 3_3_1_7_0_4_4_0_6_4_6_7_9_8_8_7_3_8_5_9_6_1_9_8_1 and not allow_probable:
				raise ValueError(
				    '''Warning: upper bound of deterministic test is exceeded. '''
				    '''Pass allow_probable=True to allow probabilistic test. '''
				    '''A return value of True indicates a probable prime.'''		)
		# array bounds provided by analysis
		lowerCamelCase   : Optional[Any]								=[
		    2_0_4_7,
		    1_3_7_3_6_5_3,
		    2_5_3_2_6_0_0_1,
		    3_2_1_5_0_3_1_7_5_1,
		    2_1_5_2_3_0_2_8_9_8_7_4_7,
		    3_4_7_4_7_4_9_6_6_0_3_8_3,
		    3_4_1_5_5_0_0_7_1_7_2_8_3_2_1,
		    1,
		    3_8_2_5_1_2_3_0_5_6_5_4_6_4_1_3_0_5_1,
		    1,
		    1,
		    3_1_8_6_6_5_8_5_7_8_3_4_0_3_1_1_5_1_1_6_7_4_6_1,
		    3_3_1_7_0_4_4_0_6_4_6_7_9_8_8_7_3_8_5_9_6_1_9_8_1,
		]

		lowerCamelCase   : Dict								=[2, 3, 5, 7, 1_1, 1_3, 1_7, 1_9, 2_3, 2_9, 3_1, 3_7, 4_1]
		for idx, _p in enumerate(SCREAMING_SNAKE_CASE_							,       1		):
				if n < _p:
						# then we have our last prime to check
						lowerCamelCase   : Any								=primes[:idx]
						break
		lowerCamelCase		,   lowerCamelCase   : Any								=n - 1, 0
		# break up n -1 into a power of 2 (s) and
		# remaining odd component
		# essentially, solve for d * 2 ** s == n - 1
		while d % 2 == 0:
				d //= 2
				s += 1
		for prime in plist:
				lowerCamelCase   : Union[str, Any]								=False
				for r in range(SCREAMING_SNAKE_CASE_		):
						lowerCamelCase   : List[str]								=pow(SCREAMING_SNAKE_CASE_							,       d * 2**r							,       SCREAMING_SNAKE_CASE_		)
						# see article for analysis explanation for m
						if (r == 0 and m == 1) or ((m + 1) % n == 0):
								lowerCamelCase   : List[str]								=True
								# this loop will not determine compositeness
								break
				if pr:
						continue
				# if pr is False, then the above loop never evaluated to true,
				# and the n MUST be composite
				return False
		return True


def 					A__	(       )   ->     None:
		assert not miller_rabin(5_6_1		)
		assert miller_rabin(5_6_3		)
		# 2047

		assert not miller_rabin(8_3_8_2_0_1		)
		assert miller_rabin(8_3_8_2_0_7		)
		# 1_373_653

		assert not miller_rabin(1_7_3_1_6_0_0_1		)
		assert miller_rabin(1_7_3_1_6_0_1_7		)
		# 25_326_001

		assert not miller_rabin(3_0_7_8_3_8_6_6_4_1		)
		assert miller_rabin(3_0_7_8_3_8_6_6_5_3		)
		# 3_215_031_751

		assert not miller_rabin(1_7_1_3_0_4_5_5_7_4_8_0_1		)
		assert miller_rabin(1_7_1_3_0_4_5_5_7_4_8_1_9		)
		# 2_152_302_898_747

		assert not miller_rabin(2_7_7_9_7_9_9_7_2_8_3_0_7		)
		assert miller_rabin(2_7_7_9_7_9_9_7_2_8_3_2_7		)
		# 3_474_749_660_383

		assert not miller_rabin(1_1_3_8_5_0_0_2_3_9_0_9_4_4_1		)
		assert miller_rabin(1_1_3_8_5_0_0_2_3_9_0_9_5_2_7		)
		# 341_550_071_728_321

		assert not miller_rabin(1_2_7_5_0_4_1_0_1_8_8_4_8_8_0_4_3_5_1		)
		assert miller_rabin(1_2_7_5_0_4_1_0_1_8_8_4_8_8_0_4_3_9_1		)
		# 3_825_123_056_546_413_051

		assert not miller_rabin(7_9_6_6_6_4_6_4_4_5_8_5_0_7_7_8_7_7_9_1_8_6_7		)
		assert miller_rabin(7_9_6_6_6_4_6_4_4_5_8_5_0_7_7_8_7_7_9_1_9_5_1		)
		# 318_665_857_834_031_151_167_461

		assert not miller_rabin(5_5_2_8_4_0_6_7_7_4_4_6_6_4_7_8_9_7_6_6_0_3_3_3		)
		assert miller_rabin(5_5_2_8_4_0_6_7_7_4_4_6_6_4_7_8_9_7_6_6_0_3_5_9		)
		# 3_317_044_064_679_887_385_961_981
		# upper limit for probabilistic test


if __name__ == "__main__":
				test_miller_rabin()

