




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_mbartaa import MBartaaTokenizer
else:
				lowercase_      :							List[str]    							=					None


lowercase_      :							str    							=					logging.get_logger(__name__)

lowercase_      :							List[Any]    							=					{'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

lowercase_      :							Union[str, Any]    							=					{
    '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'
        ),
    },
    'tokenizer_file': {
        'facebook/mbart-large-50-one-to-many-mmt': (
            'https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/tokenizer.json'
        ),
    },
}

lowercase_      :							Dict    							=					{
    'facebook/mbart-large-50-one-to-many-mmt': 10_24,
}

# fmt: off
lowercase_      :							List[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', '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        __lowerCAmelCase					(			UpperCAmelCase__					):
			snake_case_ :					List[str]						=	VOCAB_FILES_NAMES
			snake_case_ :					Optional[int]						=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			snake_case_ :					Optional[int]						=	PRETRAINED_VOCAB_FILES_MAP
			snake_case_ :					Dict						=	["input_ids", "attention_mask"]
			snake_case_ :					List[Any]						=	MBartaaTokenizer

			snake_case_ :					List[int]						=	[]
			snake_case_ :					List[int]						=	[]







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




									"""simple docstring"""


									_UpperCAmelCase						=	AddedToken(snake_case__       ,       lstrip=snake_case__       ,       rstrip=snake_case__ ) if isinstance(snake_case__       ,       snake_case__ ) else mask_token

									_UpperCAmelCase						=	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__(
									    snake_case__       ,       src_lang=snake_case__       ,       tgt_lang=snake_case__       ,       tokenizer_file=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__       ,       **snake_case__       ,       )

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

									_UpperCAmelCase						=	{
									    lang_code: self.convert_tokens_to_ids(snake_case__ ) for lang_code in FAIRSEQ_LANGUAGE_CODES
									}

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







			@property
			def UpperCamelCase     (			self       :     List[str] ):




									"""simple docstring"""


									return self._src_lang







			@src_lang.setter
			def UpperCamelCase     (			self       :     Tuple       ,       snake_case__       :     str ):




									"""simple docstring"""


									_UpperCAmelCase						=	new_src_lang
									self.set_src_lang_special_tokens(self._src_lang )







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




									"""simple docstring"""


									_UpperCAmelCase						=	src_lang
									_UpperCAmelCase						=	tgt_lang
									return super().prepare_seqaseq_batch(snake_case__       ,       snake_case__       ,       **snake_case__ )







			def UpperCamelCase     (			self       :     Optional[int] ):




									"""simple docstring"""


									return self.set_src_lang_special_tokens(self.src_lang )







			def UpperCamelCase     (			self       :     Any ):




									"""simple docstring"""


									return self.set_tgt_lang_special_tokens(self.tgt_lang )







			def UpperCamelCase     (			self       :     Optional[Any]       ,       snake_case__       :     str ):




									"""simple docstring"""


									_UpperCAmelCase						=	self.convert_tokens_to_ids(snake_case__ )
									_UpperCAmelCase						=	[self.cur_lang_code_id]
									_UpperCAmelCase						=	[self.eos_token_id]

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

									_UpperCAmelCase						=	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 UpperCamelCase     (			self       :     List[Any]       ,       snake_case__       :     str ):




									"""simple docstring"""


									_UpperCAmelCase						=	self.convert_tokens_to_ids(snake_case__ )
									_UpperCAmelCase						=	[self.cur_lang_code_id]
									_UpperCAmelCase						=	[self.eos_token_id]

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

									_UpperCAmelCase						=	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 UpperCamelCase     (			self       :     Tuple       ,       snake_case__       :     int       ,       snake_case__       :     str       ,       snake_case__       :     Optional[str]       ,       snake_case__       :     Optional[str]       ,       **snake_case__       :     Tuple ):




									"""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" )
									_UpperCAmelCase						=	src_lang
									_UpperCAmelCase						=	self(snake_case__       ,       add_special_tokens=snake_case__       ,       return_tensors=snake_case__       ,       **snake_case__ )
									_UpperCAmelCase						=	self.convert_tokens_to_ids(snake_case__ )
									_UpperCAmelCase						=	tgt_lang_id
									return inputs







			def UpperCamelCase     (			self       :     Dict       ,       snake_case__       :     str       ,       snake_case__       :     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(snake_case__ ):
															logger.error(F"""Vocabulary path ({save_directory}) should be a directory""" )
															return
									_UpperCAmelCase						=	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,)










import math
from itertools import permutations


def 				__SCREAMING_SNAKE_CASE    (     snake_case_		):

						'''simple docstring'''


						if 1 < number < 4:
												# 2 and 3 are primes
												return True
						elif number < 2 or number % 2 == 0 or number % 3 == 0:
												# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
												return False

						# All primes number are in format of 6k +/- 1
						for i in range(5      ,       int(math.sqrt(snake_case_		) + 1		)      ,       6		):
												if number % i == 0 or number % (i + 2) == 0:
																		return False
						return True


def 				__SCREAMING_SNAKE_CASE    (     snake_case_      ,       snake_case_		):

						'''simple docstring'''


						_UpperCAmelCase				,					_UpperCAmelCase						=	0, len(snake_case_		) - 1
						while left <= right:
												_UpperCAmelCase						=	(left + right) // 2
												if prime_list[middle] == target:
																		return True
												elif prime_list[middle] < target:
																		_UpperCAmelCase						=	middle + 1
												else:
																		_UpperCAmelCase						=	middle - 1

						return False


def 				__SCREAMING_SNAKE_CASE    (     ):

						'''simple docstring'''


						_UpperCAmelCase						=	[n for n in range(1001      ,       1_0000      ,       2		) if is_prime(snake_case_		)]
						_UpperCAmelCase						=	[]

						for number in prime_list:
												_UpperCAmelCase						=	[]

												for prime_member in permutations(list(str(snake_case_		)		)		):
																		_UpperCAmelCase						=	int("".join(snake_case_		)		)

																		if prime % 2 == 0:
																								continue

																		if search(snake_case_      ,       snake_case_		):
																								tmp_numbers.append(snake_case_		)

												tmp_numbers.sort()
												if len(snake_case_		) >= 3:
																		candidates.append(snake_case_		)

						_UpperCAmelCase						=	[]
						for candidate in candidates:
												_UpperCAmelCase						=	len(snake_case_		)
												_UpperCAmelCase						=	False

												for i in range(snake_case_		):
																		for j in range(i + 1      ,       snake_case_		):
																								for k in range(j + 1      ,       snake_case_		):
																														if (
																														    abs(candidate[i] - candidate[j]		)
																														    == abs(candidate[j] - candidate[k]		)
																														    and len({candidate[i], candidate[j], candidate[k]}		) == 3
																														):
																																				passed.append(
																																				    sorted([candidate[i], candidate[j], candidate[k]]		)		)
																																				_UpperCAmelCase						=	True

																														if found:
																																				break
																								if found:
																														break
																		if found:
																								break

						_UpperCAmelCase						=	set()
						for seq in passed:
												answer.add("".join([str(snake_case_		) for i in seq]		)		)

						return max(int(snake_case_		) for x in answer		)


if __name__ == "__main__":
				print(solution())




