
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:
   __UpperCAmelCase   						=     None


__UpperCAmelCase   						=     logging.get_logger(__name__)

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

__UpperCAmelCase   						=     {
    "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"
        ),
    },
}

__UpperCAmelCase   						=     {
    "facebook/mbart-large-50-one-to-many-mmt": 10_24,
}

# fmt: off
__UpperCAmelCase   						=     ["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 				UpperCamelCase__		(	__SCREAMING_SNAKE_CASE	):






       """simple docstring"""


       UpperCAmelCase_				       =VOCAB_FILES_NAMES
       UpperCAmelCase_				       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       UpperCAmelCase_				       =PRETRAINED_VOCAB_FILES_MAP
       UpperCAmelCase_				       =["input_ids", "attention_mask"]
       UpperCAmelCase_				       =MBartaaTokenizer

       UpperCAmelCase_				       =[]
       UpperCAmelCase_				       =[]



       def __init__(							self ,     _A=None ,     _A=None ,     _A=None ,     _A=None ,     _A="</s>" ,     _A="</s>" ,     _A="<s>" ,     _A="<unk>" ,     _A="<pad>" ,     _A="<mask>" ,     **_A ,     )				->				Dict:
          # Mask token behave like a normal word, i.e. include the space before it
          SCREAMING_SNAKE_CASE_	=      AddedToken(_A ,     lstrip=_A ,     rstrip=_A	) if isinstance(_A ,     _A	) else mask_token

          SCREAMING_SNAKE_CASE_	=      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__(
              _A ,     src_lang=_A ,     tgt_lang=_A ,     tokenizer_file=_A ,     eos_token=_A ,     sep_token=_A ,     cls_token=_A ,     unk_token=_A ,     pad_token=_A ,     mask_token=_A ,     **_A ,     )

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

          SCREAMING_SNAKE_CASE_	=      {
              lang_code: self.convert_tokens_to_ids(_A	) for lang_code in FAIRSEQ_LANGUAGE_CODES
          }

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



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



       @src_lang.setter
       def     _UpperCamelCase	(							self ,     _A	)				->				None:
          SCREAMING_SNAKE_CASE_	=      new_src_lang
          self.set_src_lang_special_tokens(self._src_lang	)



       def     _UpperCamelCase	(							self ,     _A ,     _A = 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     _UpperCamelCase	(							self ,     _A ,     _A = "en_XX" ,     _A = None ,     _A = "ro_RO" ,     **_A ,     )				->				BatchEncoding:
          SCREAMING_SNAKE_CASE_	=      src_lang
          SCREAMING_SNAKE_CASE_	=      tgt_lang
          return super().prepare_seqaseq_batch(_A ,     _A ,     **_A	)



       def     _UpperCamelCase	(							self	)				->				Tuple:
          return self.set_src_lang_special_tokens(self.src_lang	)



       def     _UpperCamelCase	(							self	)				->				Optional[int]:
          return self.set_tgt_lang_special_tokens(self.tgt_lang	)



       def     _UpperCamelCase	(							self ,     _A	)				->				None:
          SCREAMING_SNAKE_CASE_	=      self.convert_tokens_to_ids(_A	)
          SCREAMING_SNAKE_CASE_	=      [self.cur_lang_code_id]
          SCREAMING_SNAKE_CASE_	=      [self.eos_token_id]

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

          SCREAMING_SNAKE_CASE_	=      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 ,     _A	)				->				None:
          SCREAMING_SNAKE_CASE_	=      self.convert_tokens_to_ids(_A	)
          SCREAMING_SNAKE_CASE_	=      [self.cur_lang_code_id]
          SCREAMING_SNAKE_CASE_	=      [self.eos_token_id]

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

          SCREAMING_SNAKE_CASE_	=      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 ,     _A ,     _A ,     _A ,     _A ,     **_A	)				->				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'''	)
          SCREAMING_SNAKE_CASE_	=      src_lang
          SCREAMING_SNAKE_CASE_	=      self(_A ,     add_special_tokens=_A ,     return_tensors=_A ,     **_A	)
          SCREAMING_SNAKE_CASE_	=      self.convert_tokens_to_ids(_A	)
          SCREAMING_SNAKE_CASE_	=      tgt_lang_id
          return inputs




       def     _UpperCamelCase	(							self ,     _A ,     _A = None	)				->				Tuple[str]:
          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(_A	):
             logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''	)
             return
          SCREAMING_SNAKE_CASE_	=      os.path.join(
              _A ,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)

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

          return (out_vocab_file,)




from __future__ import annotations

from collections.abc import Iterable





class 				UpperCamelCase__		:






       """simple docstring"""


       def __init__(							self ,     _A ,     _A	)				->				Union[str, Any]:
          SCREAMING_SNAKE_CASE_	, SCREAMING_SNAKE_CASE_	=      float(_A	), float(_A	)



       def __eq__(							self ,     _A	)				->				str:
          return self.x == other.x and self.y == other.y



       def __ne__(							self ,     _A	)				->				Any:
          return not self == other



       def __gt__(							self ,     _A	)				->				List[Any]:
          if self.x > other.x:
             return True
          elif self.x == other.x:
             return self.y > other.y
          return False



       def __lt__(							self ,     _A	)				->				Optional[int]:
          return not self > other



       def __ge__(							self ,     _A	)				->				int:
          if self.x > other.x:
             return True
          elif self.x == other.x:
             return self.y >= other.y
          return False



       def __le__(							self ,     _A	)				->				str:
          if self.x < other.x:
             return True
          elif self.x == other.x:
             return self.y <= other.y
          return False



       def __repr__(							self	)				->				str:
          return F'''({self.x}, {self.y})'''




       def __hash__(							self	)				->				List[str]:
          return hash(self.x	)







def  A__ (       __lowerCamelCase,  ):
   SCREAMING_SNAKE_CASE_	=      []
   if list_of_tuples:
      for p in list_of_tuples:
         if isinstance(__lowerCamelCase,  __lowerCamelCase						):
            points.append(__lowerCamelCase						)
         else:
            try:
               points.append(Point(p[0],  p[1]						)						)
            except (IndexError, TypeError):
               print(
                   F'''Ignoring deformed point {p}. All points'''
                   ''' must have at least 2 coordinates.'''						)
   return points


def  A__ (       __lowerCamelCase						):

   if not hasattr(__lowerCamelCase,  '''__iter__'''						):
      SCREAMING_SNAKE_CASE_	=      F'''Expecting an iterable object but got an non-iterable type {points}'''
      raise ValueError(__lowerCamelCase						)

   if not points:
      SCREAMING_SNAKE_CASE_	=      F'''Expecting a list of points but got {points}'''
      raise ValueError(__lowerCamelCase						)

   return _construct_points(__lowerCamelCase						)


def  A__ (       __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						):
   SCREAMING_SNAKE_CASE_	=      (a.x * b.y + b.x * c.y + c.x * a.y) - (a.y * b.x + b.y * c.x + c.y * a.x)
   return det


def  A__ (       __lowerCamelCase						):
   SCREAMING_SNAKE_CASE_	=      sorted(_validate_input(__lowerCamelCase						)						)
   SCREAMING_SNAKE_CASE_	=      len(__lowerCamelCase						)
   SCREAMING_SNAKE_CASE_	=      set()

   for i in range(n - 1						):
      for j in range(i + 1,  __lowerCamelCase						):
         SCREAMING_SNAKE_CASE_	=      SCREAMING_SNAKE_CASE_	=      False
         SCREAMING_SNAKE_CASE_	=      True
         for k in range(__lowerCamelCase						):
            if k != i and k != j:
               SCREAMING_SNAKE_CASE_	=      _det(points[i],  points[j],  points[k]						)

               if det_k > 0:
                  SCREAMING_SNAKE_CASE_	=      True
               elif det_k < 0:
                  SCREAMING_SNAKE_CASE_	=      True
               else:
                  # point[i], point[j], point[k] all lie on a straight line
                  # if point[k] is to the left of point[i] or it's to the
                  # right of point[j], then point[i], point[j] cannot be
                  # part of the convex hull of A
                  if points[k] < points[i] or points[k] > points[j]:
                     SCREAMING_SNAKE_CASE_	=      False
                     break

            if points_left_of_ij and points_right_of_ij:
               SCREAMING_SNAKE_CASE_	=      False
               break

         if ij_part_of_convex_hull:
            convex_set.update([points[i], points[j]]						)

   return sorted(__lowerCamelCase						)


def  A__ (       __lowerCamelCase						):
   SCREAMING_SNAKE_CASE_	=      sorted(_validate_input(__lowerCamelCase						)						)
   SCREAMING_SNAKE_CASE_	=      len(__lowerCamelCase						)

   # divide all the points into an upper hull and a lower hull
   # the left most point and the right most point are definitely
   # members of the convex hull by definition.
   # use these two anchors to divide all the points into two hulls,
   # an upper hull and a lower hull.

   # all points to the left (above) the line joining the extreme points belong to the
   # upper hull
   # all points to the right (below) the line joining the extreme points below to the
   # lower hull
   # ignore all points on the line joining the extreme points since they cannot be
   # part of the convex hull

   SCREAMING_SNAKE_CASE_	=      points[0]
   SCREAMING_SNAKE_CASE_	=      points[n - 1]

   SCREAMING_SNAKE_CASE_	=      {left_most_point, right_most_point}
   SCREAMING_SNAKE_CASE_	=      []
   SCREAMING_SNAKE_CASE_	=      []

   for i in range(1,  n - 1						):
      SCREAMING_SNAKE_CASE_	=      _det(__lowerCamelCase,  __lowerCamelCase,  points[i]						)

      if det > 0:
         upper_hull.append(points[i]						)
      elif det < 0:
         lower_hull.append(points[i]						)

   _construct_hull(__lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						)
   _construct_hull(__lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						)

   return sorted(__lowerCamelCase						)


def  A__ (       __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						):
   if points:
      SCREAMING_SNAKE_CASE_	=      None
      SCREAMING_SNAKE_CASE_	=      float('''-inf'''						)
      SCREAMING_SNAKE_CASE_	=      []

      for p in points:
         SCREAMING_SNAKE_CASE_	=      _det(__lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						)

         if det > 0:
            candidate_points.append(__lowerCamelCase						)

            if det > extreme_point_distance:
               SCREAMING_SNAKE_CASE_	=      det
               SCREAMING_SNAKE_CASE_	=      p

      if extreme_point:
         _construct_hull(__lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						)
         convex_set.add(__lowerCamelCase						)
         _construct_hull(__lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						)


def  A__ (       __lowerCamelCase						):
   SCREAMING_SNAKE_CASE_	=      sorted(_validate_input(__lowerCamelCase						)						)
   SCREAMING_SNAKE_CASE_	=      len(__lowerCamelCase						)

   SCREAMING_SNAKE_CASE_	=      points[:2]
   for i in range(2,  __lowerCamelCase						):
      SCREAMING_SNAKE_CASE_	=      _det(convex_hull[1],  convex_hull[0],  points[i]						)
      if det > 0:
         convex_hull.insert(0,  points[i]						)
         break
      elif det < 0:
         convex_hull.append(points[i]						)
         break
      else:
         SCREAMING_SNAKE_CASE_	=      points[i]
   i += 1

   for j in range(__lowerCamelCase,  __lowerCamelCase						):
      if (
          _det(convex_hull[0],  convex_hull[-1],  points[j]						) > 0
          and _det(convex_hull[-1],  convex_hull[0],  points[1]						) < 0
      ):
         # The point lies within the convex hull
         continue

      convex_hull.insert(0,  points[j]						)
      convex_hull.append(points[j]						)
      while _det(convex_hull[0],  convex_hull[1],  convex_hull[2]						) >= 0:
         del convex_hull[1]
      while _det(convex_hull[-1],  convex_hull[-2],  convex_hull[-3]						) <= 0:
         del convex_hull[-2]

    # `convex_hull` is contains the convex hull in circular order
   return sorted(convex_hull[1:] if len(__lowerCamelCase						) > 3 else convex_hull						)


def  A__ (       ):
   SCREAMING_SNAKE_CASE_	=      [
       (0, 3),
       (2, 2),
       (1, 1),
       (2, 1),
       (3, 0),
       (0, 0),
       (3, 3),
       (2, -1),
       (2, -4),
       (1, -3),
   ]
   # the convex set of points is
   # [(0, 0), (0, 3), (1, -3), (2, -4), (3, 0), (3, 3)]
   SCREAMING_SNAKE_CASE_	=      convex_hull_bf(__lowerCamelCase						)

   SCREAMING_SNAKE_CASE_	=      convex_hull_recursive(__lowerCamelCase						)
   assert results_bf == results_recursive

   SCREAMING_SNAKE_CASE_	=      convex_hull_melkman(__lowerCamelCase						)
   assert results_bf == results_melkman

   print(__lowerCamelCase						)


if __name__ == "__main__":
   main()


