



'''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:
							__lowerCAmelCase						      =       None


__lowerCAmelCase						      =       logging.get_logger(__name__)


__lowerCAmelCase						      =       {'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

__lowerCAmelCase						      =       {
    '''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''',
    },
}

__lowerCAmelCase						      =       {
    '''facebook/mbart-large-en-ro''': 1_024,
    '''facebook/mbart-large-cc25''': 1_024,
}

# fmt: off
__lowerCAmelCase						      =       ['''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      __magic_name__						(   _UpperCamelCase       ):
							lowerCAmelCase	:   List[str]           = VOCAB_FILES_NAMES
							lowerCAmelCase	:   Any           = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCAmelCase	:   List[str]           = PRETRAINED_VOCAB_FILES_MAP
							lowerCAmelCase	:   Dict           = ['input_ids', 'attention_mask']
							lowerCAmelCase	:   List[str]           = MBartTokenizer

							lowerCAmelCase	:   List[int]           = []
							lowerCAmelCase	:   List[int]           = []







							def __init__(							self :	Union[str, Any]     ,_UpperCAmelCase :	List[Any]=None     ,_UpperCAmelCase :	Any=None     ,_UpperCAmelCase :	Optional[int]="<s>"     ,_UpperCAmelCase :	List[Any]="</s>"     ,_UpperCAmelCase :	int="</s>"     ,_UpperCAmelCase :	Union[str, Any]="<s>"     ,_UpperCAmelCase :	List[str]="<unk>"     ,_UpperCAmelCase :	str="<pad>"     ,_UpperCAmelCase :	int="<mask>"     ,_UpperCAmelCase :	int=None     ,_UpperCAmelCase :	int=None     ,_UpperCAmelCase :	Tuple=None     ,**_UpperCAmelCase :	int     ,):
									# Mask token behave like a normal word, i.e. include the space before it
									_a					:				List[Any]				=							AddedToken(_UpperCAmelCase     ,lstrip=_UpperCAmelCase     ,rstrip=_UpperCAmelCase		) if isinstance(_UpperCAmelCase     ,_UpperCAmelCase		) else mask_token

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

									_a					:				str				=							vocab_file
									_a					:				Dict				=							False if not self.vocab_file else True

									_a					:				List[Any]				=							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}		)
									_a					:				Dict				=							{
									    lang_code: self.convert_tokens_to_ids(_UpperCAmelCase		) for lang_code in FAIRSEQ_LANGUAGE_CODES
									}

									_a					:				Dict				=							src_lang if src_lang is not None else 'en_XX'
									_a					:				Any				=							self.convert_tokens_to_ids(self._src_lang		)
									_a					:				Dict				=							tgt_lang
									self.set_src_lang_special_tokens(self._src_lang		)







							@property
							def 							__lowercase      (							self :	Tuple		):
									return self._src_lang







							@src_lang.setter
							def 							__lowercase      (							self :	Any     ,_UpperCAmelCase :	str		):
									_a					:				List[Any]				=							new_src_lang
									self.set_src_lang_special_tokens(self._src_lang		)







							def 							__lowercase      (							self :	Union[str, Any]     ,_UpperCAmelCase :	List[int]     ,_UpperCAmelCase :	Optional[List[int]] = None		):
									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 :	Tuple     ,_UpperCAmelCase :	List[int]     ,_UpperCAmelCase :	Optional[List[int]] = None		):
									_a					:				Any				=							[self.sep_token_id]
									_a					:				Optional[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 							__lowercase      (							self :	Optional[int]     ,_UpperCAmelCase :	Dict     ,_UpperCAmelCase :	str     ,_UpperCAmelCase :	Optional[str]     ,_UpperCAmelCase :	Optional[str]     ,**_UpperCAmelCase :	List[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'		)
									_a					:				Tuple				=							src_lang
									_a					:				Dict				=							self(_UpperCAmelCase     ,add_special_tokens=_UpperCAmelCase     ,return_tensors=_UpperCAmelCase     ,**_UpperCAmelCase		)
									_a					:				Optional[int]				=							self.convert_tokens_to_ids(_UpperCAmelCase		)
									_a					:				List[str]				=							tgt_lang_id
									return inputs







							def 							__lowercase      (							self :	List[Any]     ,_UpperCAmelCase :	List[str]     ,_UpperCAmelCase :	str = "en_XX"     ,_UpperCAmelCase :	Optional[List[str]] = None     ,_UpperCAmelCase :	str = "ro_RO"     ,**_UpperCAmelCase :	List[Any]     ,):
									_a					:				Optional[int]				=							src_lang
									_a					:				Optional[int]				=							tgt_lang
									return super().prepare_seqaseq_batch(_UpperCAmelCase     ,_UpperCAmelCase     ,**_UpperCAmelCase		)







							def 							__lowercase      (							self :	Any		):
									return self.set_src_lang_special_tokens(self.src_lang		)







							def 							__lowercase      (							self :	Dict		):
									return self.set_tgt_lang_special_tokens(self.tgt_lang		)







							def 							__lowercase      (							self :	Union[str, Any]     ,_UpperCAmelCase :	List[str]		):
									_a					:				Union[str, Any]				=							self.convert_tokens_to_ids(_UpperCAmelCase		)
									_a					:				Any				=							[]
									_a					:				Union[str, Any]				=							[self.eos_token_id, self.cur_lang_code]

									_a					:				Union[str, Any]				=							self.convert_ids_to_tokens(self.prefix_tokens		)
									_a					:				Tuple				=							self.convert_ids_to_tokens(self.suffix_tokens		)

									_a					:				Optional[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 							__lowercase      (							self :	List[Any]     ,_UpperCAmelCase :	str		):
									_a					:				List[Any]				=							self.convert_tokens_to_ids(_UpperCAmelCase		)
									_a					:				List[str]				=							[]
									_a					:				int				=							[self.eos_token_id, self.cur_lang_code]

									_a					:				Optional[int]				=							self.convert_ids_to_tokens(self.prefix_tokens		)
									_a					:				Any				=							self.convert_ids_to_tokens(self.suffix_tokens		)

									_a					:				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 							__lowercase      (							self :	Tuple     ,_UpperCAmelCase :	str     ,_UpperCAmelCase :	Optional[str] = None		):
									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(_UpperCAmelCase		):
											logger.error(F"""Vocabulary path ({save_directory}) should be a directory."""		)
											return
									_a					:				Dict				=							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		):
											copyfile(self.vocab_file     ,_UpperCAmelCase		)

									return (out_vocab_file,)









'''simple docstring'''

from __future__ import annotations

from collections.abc import Iterator
from typing import Any

class      __magic_name__						:







							def __init__(							self :	Dict     ,_UpperCAmelCase :	Any		):
									_a					:				Any				=							data
									_a					:				Node | None				=							None

class      __magic_name__						:







							def __init__(							self :	Any		):
									_a					:				int				=							None
									_a					:				Optional[int]				=							None







							def __iter__(							self :	Optional[int]		):
									_a					:				List[Any]				=							self.head
									while self.head:
											yield node.data
											_a					:				str				=							node.next
											if node == self.head:
													break







							def __len__(							self :	Any		):
									return sum(1 for _ in self		)







							def __repr__(							self :	int		):
									return "->".join(str(_UpperCAmelCase		) for item in iter(self		)		)







							def 							__lowercase      (							self :	Optional[Any]     ,_UpperCAmelCase :	Any		):
									self.insert_nth(len(self		)     ,_UpperCAmelCase		)







							def 							__lowercase      (							self :	str     ,_UpperCAmelCase :	Any		):
									self.insert_nth(0     ,_UpperCAmelCase		)







							def 							__lowercase      (							self :	List[str]     ,_UpperCAmelCase :	int     ,_UpperCAmelCase :	Any		):
									if index < 0 or index > len(self		):
											raise IndexError('list index out of range.'		)
									_a					:				List[str]				=							Node(_UpperCAmelCase		)
									if self.head is None:
											_a					:				Tuple				=							new_node  # first node points itself
											_a					:				int				=							new_node
									elif index == 0:  # insert at head
											_a					:				Any				=							self.head
											_a					:				Tuple				=							new_node
									else:
											_a					:				Any				=							self.head
											for _ in range(index - 1		):
													_a					:				int				=							temp.next
											_a					:				Optional[int]				=							temp.next
											_a					:				int				=							new_node
											if index == len(self		) - 1:  # insert at tail
													_a					:				Optional[int]				=							new_node







							def 							__lowercase      (							self :	List[Any]		):
									return self.delete_nth(0		)







							def 							__lowercase      (							self :	Dict		):
									return self.delete_nth(len(self		) - 1		)







							def 							__lowercase      (							self :	Union[str, Any]     ,_UpperCAmelCase :	int = 0		):
									if not 0 <= index < len(self		):
											raise IndexError('list index out of range.'		)
									_a					:				Optional[int]				=							self.head
									if self.head == self.tail:  # just one node
											_a					:				Optional[int]				=							None
									elif index == 0:  # delete head node
											_a					:				Dict				=							self.tail.next.next
											_a					:				Dict				=							self.head.next
									else:
											_a					:				List[Any]				=							self.head
											for _ in range(index - 1		):
													_a					:				Union[str, Any]				=							temp.next
											_a					:				Optional[int]				=							temp.next
											_a					:				List[str]				=							temp.next.next
											if index == len(self		) - 1:  # delete at tail
													_a					:				int				=							temp
									return delete_node.data







							def 							__lowercase      (							self :	int		):
									return len(self		) == 0



def 					__lowerCamelCase					(				)      ->				None:
		_a					:				int				=							CircularLinkedList()
		assert len(lowerCAmelCase_  ) == 0
		assert circular_linked_list.is_empty() is True
		assert str(lowerCAmelCase_  ) == ""

		try:
				circular_linked_list.delete_front()
				raise AssertionError  # This should not happen
		except IndexError:
				assert True  # This should happen

		try:
				circular_linked_list.delete_tail()
				raise AssertionError  # This should not happen
		except IndexError:
				assert True  # This should happen

		try:
				circular_linked_list.delete_nth(-1  )
				raise AssertionError
		except IndexError:
				assert True

		try:
				circular_linked_list.delete_nth(0  )
				raise AssertionError
		except IndexError:
				assert True

		assert circular_linked_list.is_empty() is True
		for i in range(5  ):
				assert len(lowerCAmelCase_  ) == i
				circular_linked_list.insert_nth(lowerCAmelCase_						,      i + 1  )
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(1						,      6  )  )

		circular_linked_list.insert_tail(6  )
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(1						,      7  )  )
		circular_linked_list.insert_head(0  )
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(0						,      7  )  )

		assert circular_linked_list.delete_front() == 0
		assert circular_linked_list.delete_tail() == 6
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(1						,      6  )  )
		assert circular_linked_list.delete_nth(2  ) == 3

		circular_linked_list.insert_nth(2						,      3  )
		assert str(lowerCAmelCase_  ) == "->".join(str(lowerCAmelCase_  ) for i in range(1						,      6  )  )

		assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
							import doctest

							doctest.testmod()




