import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


__snake_case      :      Optional[Any]             =       logging.get_logger(__name__)

__snake_case      :      List[Any]             =       """▁"""

__snake_case      :      Optional[Any]             =       {"""vocab_file""": """sentencepiece.bpe.model"""}

__snake_case      :      Optional[int]             =       {
    """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"""
        ),
    }
}

__snake_case      :      int             =       {
    """facebook/mbart-large-en-ro""": 10_24,
    """facebook/mbart-large-cc25""": 10_24,
}

# fmt: off
__snake_case      :      Optional[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       __SCREAMING_SNAKE_CASE   (				__lowercase):
						_SCREAMING_SNAKE_CASE		:    Any						=   VOCAB_FILES_NAMES
						_SCREAMING_SNAKE_CASE		:    Optional[Any]						=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_SCREAMING_SNAKE_CASE		:    str						=   PRETRAINED_VOCAB_FILES_MAP
						_SCREAMING_SNAKE_CASE		:    Tuple						=   ['''input_ids''', '''attention_mask''']

						_SCREAMING_SNAKE_CASE		:    List[int]						=   []
						_SCREAMING_SNAKE_CASE		:    List[int]						=   []






						def __init__(		self       ,  _UpperCamelCase       ,  _UpperCamelCase="<s>"       ,  _UpperCamelCase="</s>"       ,  _UpperCamelCase="</s>"       ,  _UpperCamelCase="<s>"       ,  _UpperCamelCase="<unk>"       ,  _UpperCamelCase="<pad>"       ,  _UpperCamelCase="<mask>"       ,  _UpperCamelCase=None       ,  _UpperCamelCase=None       ,  _UpperCamelCase=None       ,  _UpperCamelCase = None       ,  _UpperCamelCase=None       ,  **_UpperCamelCase       ,  ):






												"""simple docstring"""
												lowerCAmelCase__        =  AddedToken(_UpperCamelCase       ,  lstrip=_UpperCamelCase       ,  rstrip=_UpperCamelCase				) if isinstance(_UpperCamelCase       ,  _UpperCamelCase				) else mask_token

												lowerCAmelCase__        =  {} if sp_model_kwargs is None else sp_model_kwargs

												super().__init__(
												    bos_token=_UpperCamelCase       ,  eos_token=_UpperCamelCase       ,  unk_token=_UpperCamelCase       ,  sep_token=_UpperCamelCase       ,  cls_token=_UpperCamelCase       ,  pad_token=_UpperCamelCase       ,  mask_token=_UpperCamelCase       ,  tokenizer_file=_UpperCamelCase       ,  src_lang=_UpperCamelCase       ,  tgt_lang=_UpperCamelCase       ,  additional_special_tokens=_UpperCamelCase       ,  sp_model_kwargs=self.sp_model_kwargs       ,  **_UpperCamelCase       ,  )

												lowerCAmelCase__        =  spm.SentencePieceProcessor(**self.sp_model_kwargs				)
												self.sp_model.Load(str(_UpperCamelCase				)				)
												lowerCAmelCase__        =  vocab_file

												# Original fairseq vocab and spm vocab must be "aligned":
												# Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
												# -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
												# fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
												# spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

												# Mimic fairseq token-to-id alignment for the first 4 token
												lowerCAmelCase__        =  {'<s>': 0, '<pad>': 1, '</s>': 2, '<unk>': 3}

												# The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
												lowerCAmelCase__        =  1

												lowerCAmelCase__        =  len(self.sp_model				)
												lowerCAmelCase__        =  {
												    code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(_UpperCamelCase				)
												}
												lowerCAmelCase__        =  {v: k for k, v in self.lang_code_to_id.items()}
												lowerCAmelCase__        =  len(self.sp_model				) + len(self.lang_code_to_id				) + self.fairseq_offset

												self.fairseq_tokens_to_ids.update(self.lang_code_to_id				)
												lowerCAmelCase__        =  {v: k for k, v in self.fairseq_tokens_to_ids.items()}
												lowerCAmelCase__        =  list(self.lang_code_to_id.keys()				)

												if additional_special_tokens is not None:
																		# Only add those special tokens if they are not already there.
																		self._additional_special_tokens.extend(
																		    [t for t in additional_special_tokens if t not in self._additional_special_tokens]				)

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






						def __getstate__(		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  self.__dict__.copy()
												lowerCAmelCase__        =  None
												lowerCAmelCase__        =  self.sp_model.serialized_model_proto()
												return state






						def __setstate__(		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  d

												# for backward compatibility
												if not hasattr(self       ,  'sp_model_kwargs'				):
																		lowerCAmelCase__        =  {}

												lowerCAmelCase__        =  spm.SentencePieceProcessor(**self.sp_model_kwargs				)
												self.sp_model.LoadFromSerializedProto(self.sp_model_proto				)






						@property
						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												return len(self.sp_model				) + len(self.lang_code_to_id				) + self.fairseq_offset + 1  # Plus 1 for the mask token






						@property
						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												return self._src_lang






						@src_lang.setter
						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  new_src_lang
												self.set_src_lang_special_tokens(self._src_lang				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase = None       ,  _UpperCamelCase = False				):






												"""simple docstring"""

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

												lowerCAmelCase__        =  [1] * len(self.prefix_tokens				)
												lowerCAmelCase__        =  [1] * len(self.suffix_tokens				)
												if token_ids_a is None:
																		return prefix_ones + ([0] * len(_UpperCamelCase				)) + suffix_ones
												return prefix_ones + ([0] * len(_UpperCamelCase				)) + ([0] * len(_UpperCamelCase				)) + suffix_ones






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase = 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       ,  _UpperCamelCase       ,  _UpperCamelCase = None				):






												"""simple docstring"""
												lowerCAmelCase__        =  [self.sep_token_id]
												lowerCAmelCase__        =  [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  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase       ,  _UpperCamelCase       ,  _UpperCamelCase       ,  **_UpperCamelCase				):






												"""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'				)
												lowerCAmelCase__        =  src_lang
												lowerCAmelCase__        =  self(_UpperCamelCase       ,  add_special_tokens=_UpperCamelCase       ,  return_tensors=_UpperCamelCase       ,  **_UpperCamelCase				)
												lowerCAmelCase__        =  self.convert_tokens_to_ids(_UpperCamelCase				)
												lowerCAmelCase__        =  tgt_lang_id
												return inputs






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  {self.convert_ids_to_tokens(_UpperCamelCase				): i for i in range(self.vocab_size				)}
												vocab.update(self.added_tokens_encoder				)
												return vocab






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												return self.sp_model.encode(_UpperCamelCase       ,  out_type=_UpperCamelCase				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												if token in self.fairseq_tokens_to_ids:
																		return self.fairseq_tokens_to_ids[token]
												lowerCAmelCase__        =  self.sp_model.PieceToId(_UpperCamelCase				)

												# Need to return unknown token if the SP model returned 0
												return spm_id + self.fairseq_offset if spm_id else self.unk_token_id






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												if index in self.fairseq_ids_to_tokens:
																		return self.fairseq_ids_to_tokens[index]
												return self.sp_model.IdToPiece(index - self.fairseq_offset				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  ''.join(_UpperCamelCase				).replace(_UpperCamelCase       ,  ' '				).strip()
												return out_string






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase = None				):






												"""simple docstring"""
												if not os.path.isdir(_UpperCamelCase				):
																		logger.error(F"Vocabulary path ({save_directory}) should be a directory"				)
																		return
												lowerCAmelCase__        =  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				) and os.path.isfile(self.vocab_file				):
																		copyfile(self.vocab_file       ,  _UpperCamelCase				)
												elif not os.path.isfile(self.vocab_file				):
																		with open(_UpperCamelCase       ,  'wb'				) as fi:
																								lowerCAmelCase__        =  self.sp_model.serialized_model_proto()
																								fi.write(_UpperCamelCase				)

												return (out_vocab_file,)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase = "en_XX"       ,  _UpperCamelCase = None       ,  _UpperCamelCase = "ro_RO"       ,  **_UpperCamelCase       ,  ):






												"""simple docstring"""
												lowerCAmelCase__        =  src_lang
												lowerCAmelCase__        =  tgt_lang
												return super().prepare_seqaseq_batch(_UpperCamelCase       ,  _UpperCamelCase       ,  **_UpperCamelCase				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												return self.set_src_lang_special_tokens(self.src_lang				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												return self.set_tgt_lang_special_tokens(self.tgt_lang				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  self.lang_code_to_id[src_lang]
												lowerCAmelCase__        =  []
												lowerCAmelCase__        =  [self.eos_token_id, self.cur_lang_code]







						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  self.lang_code_to_id[lang]
												lowerCAmelCase__        =  []
												lowerCAmelCase__        =  [self.eos_token_id, self.cur_lang_code]













from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

__snake_case      :      Optional[Any]             =       TypeVar("""KEY""")
__snake_case      :      str             =       TypeVar("""VAL""")


@dataclass(frozen=__lowercase						,   slots=__lowercase)
class       __SCREAMING_SNAKE_CASE   (				Generic[KEY, VAL]):
						_SCREAMING_SNAKE_CASE		:    KEY
						_SCREAMING_SNAKE_CASE		:    VAL




class       __SCREAMING_SNAKE_CASE   (				_Item):






						def __init__(		self				):






												"""simple docstring"""
												super().__init__(_UpperCamelCase       ,  _UpperCamelCase				)







						def __bool__(		self				):






												"""simple docstring"""
												return False




__snake_case      :      int             =       _DeletedItem()


class       __SCREAMING_SNAKE_CASE   (				MutableMapping[KEY, VAL]):






						def __init__(		self       ,  _UpperCamelCase = 8       ,  _UpperCamelCase = 0.75				):






												"""simple docstring"""
												lowerCAmelCase__        =  initial_block_size
												lowerCAmelCase__        =  [None] * initial_block_size
												assert 0.0 < capacity_factor < 1.0
												lowerCAmelCase__        =  capacity_factor
												lowerCAmelCase__        =  0






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												return hash(_UpperCamelCase				) % len(self._buckets				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												return (ind + 1) % len(self._buckets				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  self._buckets[ind]
												if not stored:
																		lowerCAmelCase__        =  _Item(_UpperCamelCase       ,  _UpperCamelCase				)
																		self._len += 1
																		return True
												elif stored.key == key:
																		lowerCAmelCase__        =  _Item(_UpperCamelCase       ,  _UpperCamelCase				)
																		return True
												else:
																		return False






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  len(self._buckets				) * self._capacity_factor
												return len(self				) >= int(_UpperCamelCase				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												if len(self._buckets				) <= self._initial_block_size:
																		return False
												lowerCAmelCase__        =  len(self._buckets				) * self._capacity_factor / 2
												return len(self				) < limit






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  self._buckets
												lowerCAmelCase__        =  [None] * new_size
												lowerCAmelCase__        =  0
												for item in old_buckets:
																		if item:
																								self._add_item(item.key       ,  item.val				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												self._resize(len(self._buckets				) * 2				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												self._resize(len(self._buckets				) // 2				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  self._get_bucket_index(_UpperCamelCase				)
												for _ in range(len(self._buckets				)				):
																		yield ind
																		lowerCAmelCase__        =  self._get_next_ind(_UpperCamelCase				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase				):






												"""simple docstring"""
												for ind in self._iterate_buckets(_UpperCamelCase				):
																		if self._try_set(_UpperCamelCase       ,  _UpperCamelCase       ,  _UpperCamelCase				):
																								break






						def __setitem__(		self       ,  _UpperCamelCase       ,  _UpperCamelCase				):






												"""simple docstring"""
												if self._is_full():
																		self._size_up()

												self._add_item(_UpperCamelCase       ,  _UpperCamelCase				)






						def __delitem__(		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												for ind in self._iterate_buckets(_UpperCamelCase				):
																		lowerCAmelCase__        =  self._buckets[ind]
																		if item is None:
																								raise KeyError(_UpperCamelCase				)
																		if item is _deleted:
																								continue
																		if item.key == key:
																								lowerCAmelCase__        =  _deleted
																								self._len -= 1
																								break
												if self._is_sparse():
																		self._size_down()






						def __getitem__(		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												for ind in self._iterate_buckets(_UpperCamelCase				):
																		lowerCAmelCase__        =  self._buckets[ind]
																		if item is None:
																								break
																		if item is _deleted:
																								continue
																		if item.key == key:
																								return item.val
												raise KeyError(_UpperCamelCase				)






						def __len__(		self				):






												"""simple docstring"""
												return self._len






						def __iter__(		self				):






												"""simple docstring"""
												yield from (item.key for item in self._buckets if item)







						def __repr__(		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  ' ,'.join(
												    F"{item.key}: {item.val}" for item in self._buckets if item				)
												return F"HashMap({val_string})"





