

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

import sentencepiece as spm

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


lowerCAmelCase     :   Tuple						     =  logging.get_logger(__name__)

lowerCAmelCase     :   Union[str, Any]						     =  {"vocab_file": "sentencepiece.bpe.model"}

lowerCAmelCase     :   List[Any]						     =  {
    "vocab_file": {
        "moussaKam/mbarthez": "https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model",
        "moussaKam/barthez": "https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model",
        "moussaKam/barthez-orangesum-title": (
            "https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"
        ),
    },
}

lowerCAmelCase     :   int						     =  {
    "moussaKam/mbarthez": 10_24,
    "moussaKam/barthez": 10_24,
    "moussaKam/barthez-orangesum-title": 10_24,
}

lowerCAmelCase     :   int						     =  "▁"
class  _A		(  __lowerCAmelCase):
  SCREAMING_SNAKE_CASE    :      Tuple       =  VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE    :      Optional[int]       =  PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE    :      str       =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE    :      Union[str, Any]       =  ["input_ids", "attention_mask"]

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





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  str           =     AddedToken(lowerCamelCase__ ,					lstrip=lowerCamelCase__ ,					rstrip=lowerCamelCase__					) if isinstance(lowerCamelCase__ ,					lowerCamelCase__					) else mask_token

        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     {} if sp_model_kwargs is None else sp_model_kwargs

        super().__init__(
            bos_token=lowerCamelCase__ ,					eos_token=lowerCamelCase__ ,					unk_token=lowerCamelCase__ ,					sep_token=lowerCamelCase__ ,					cls_token=lowerCamelCase__ ,					pad_token=lowerCamelCase__ ,					mask_token=lowerCamelCase__ ,					sp_model_kwargs=self.sp_model_kwargs ,					**lowerCamelCase__ ,					)

        SCREAMING_SNAKE_CASE_				:  Any           =     vocab_file
        SCREAMING_SNAKE_CASE_				:  str           =     spm.SentencePieceProcessor(**self.sp_model_kwargs					)
        self.sp_model.Load(str(lowerCamelCase__					)					)

        SCREAMING_SNAKE_CASE_				:  Any           =     {'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

        SCREAMING_SNAKE_CASE_				:  Tuple           =     len(self.sp_model					) - 1
        SCREAMING_SNAKE_CASE_				:  str           =     {v: k for k, v in self.fairseq_tokens_to_ids.items()}

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE = None					):





        """simple docstring"""







        if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        SCREAMING_SNAKE_CASE_				:  List[str]           =     [self.cls_token_id]
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     [self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE = None ,					_SCREAMING_SNAKE_CASE = False					):





        """simple docstring"""







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

        if token_ids_a is None:
              return [1] + ([0] * len(lowerCamelCase__					)) + [1]
        return [1] + ([0] * len(lowerCamelCase__					)) + [1, 1] + ([0] * len(lowerCamelCase__					)) + [1]

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE = None					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  int           =     [self.sep_token_id]
        SCREAMING_SNAKE_CASE_				:  List[str]           =     [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]

  @property
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        return len(self.sp_model					)

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Tuple           =     {self.convert_ids_to_tokens(lowerCamelCase__					): i for i in range(self.vocab_size					)}
        vocab.update(self.added_tokens_encoder					)
        return vocab

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        return self.sp_model.encode(lowerCamelCase__ ,					out_type=lowerCamelCase__					)

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        if token in self.fairseq_tokens_to_ids:
              return self.fairseq_tokens_to_ids[token]
        SCREAMING_SNAKE_CASE_				:  List[str]           =     self.sp_model.PieceToId(lowerCamelCase__					)

        return spm_id if spm_id else self.unk_token_id

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        if index in self.fairseq_ids_to_tokens:
              return self.fairseq_ids_to_tokens[index]
        return self.sp_model.IdToPiece(lowerCamelCase__					)

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     []
        SCREAMING_SNAKE_CASE_				:  Any           =     ''''''
        SCREAMING_SNAKE_CASE_				:  str           =     False
        for token in tokens:
              # make sure that special tokens are not decoded using sentencepiece model
              if token in self.all_special_tokens:
                    if not prev_is_special:
                          out_string += " "
                    out_string += self.sp_model.decode(lowerCamelCase__					) + token
                    SCREAMING_SNAKE_CASE_				:  str           =     True
                    SCREAMING_SNAKE_CASE_				:  Tuple           =     []
              else:
                    current_sub_tokens.append(lowerCamelCase__					)
                    SCREAMING_SNAKE_CASE_				:  Any           =     False
        out_string += self.sp_model.decode(lowerCamelCase__					)
        return out_string.strip()

  def __getstate__(				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  str           =     self.__dict__.copy()
        SCREAMING_SNAKE_CASE_				:  int           =     None
        return state

  def __setstate__(				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  List[Any]           =     d

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

        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     spm.SentencePieceProcessor(**self.sp_model_kwargs					)
        self.sp_model.Load(self.vocab_file					)



  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE = None					):





        """simple docstring"""







        if not os.path.isdir(lowerCamelCase__					):
              logger.error(f"Vocabulary path ({save_directory}) should be a directory"					)
              return
        SCREAMING_SNAKE_CASE_				:  Any           =     os.path.join(
            lowerCamelCase__ ,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)

        if os.path.abspath(self.vocab_file					) != os.path.abspath(lowerCamelCase__					) and os.path.isfile(self.vocab_file					):
              copyfile(self.vocab_file ,					lowerCamelCase__					)
        elif not os.path.isfile(self.vocab_file					):
              with open(lowerCamelCase__ ,					'wb'					) as fi:
                    SCREAMING_SNAKE_CASE_				:  int           =     self.sp_model.serialized_model_proto()
                    fi.write(lowerCamelCase__					)

        return (out_vocab_file,)









import json
import os
import unittest

from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
    VOCAB_FILES_NAMES,
    GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class  _A		(  __magic_name__   ,     unittest.TestCase):
  SCREAMING_SNAKE_CASE    :      Dict       =  GPTSanJapaneseTokenizer
  SCREAMING_SNAKE_CASE    :      List[Any]       =  False
  SCREAMING_SNAKE_CASE    :      Union[str, Any]       =  {'''do_clean_text''': False, '''add_prefix_space''': False}

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        super().setUp()

        # fmt: off
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     ['こん', 'こんに', 'にちは', 'ばんは', '世界,㔺界', '、', '。', '<BR>', '<SP>', '<TAB>', '<URL>', '<EMAIL>', '<TEL>', '<DATE>', '<PRICE>', '<BLOCK>', '<KIGOU>', '<U2000U2BFF>', '<|emoji1|>', '<unk>', '<|bagoftoken|>', '<|endoftext|>']
        # fmt: on
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     {'emoji': {'\ud83d\ude00': '<|emoji1|>'}, 'emoji_inv': {'<|emoji1|>': '\ud83d\ude00'}}  # 😀
        SCREAMING_SNAKE_CASE_				:  int           =     {'unk_token': '<unk>'}

        SCREAMING_SNAKE_CASE_				:  Any           =     os.path.join(self.tmpdirname ,					VOCAB_FILES_NAMES['vocab_file']					)
        SCREAMING_SNAKE_CASE_				:  List[str]           =     os.path.join(self.tmpdirname ,					VOCAB_FILES_NAMES['emoji_file']					)
        with open(self.vocab_file ,					'w' ,					encoding='utf-8'					) as vocab_writer:
              vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]					)					)
        with open(self.emoji_file ,					'w'					) as emoji_writer:
              emoji_writer.write(json.dumps(_SCREAMING_SNAKE_CASE					)					)

  def  UpperCAmelCase    (				self ,					**_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        kwargs.update(self.special_tokens_map					)
        return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname ,					**_SCREAMING_SNAKE_CASE					)

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     'こんにちは、世界。 \nこんばんは、㔺界。😀'
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     'こんにちは、世界。 \nこんばんは、世界。😀'
        return input_text, output_text

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     self.get_input_output_texts(_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     tokenizer.encode(_SCREAMING_SNAKE_CASE ,					add_special_tokens=_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  Any           =     tokenizer.decode(_SCREAMING_SNAKE_CASE ,					clean_up_tokenization_spaces=_SCREAMING_SNAKE_CASE					)
        return text, ids

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        pass  # TODO add if relevant

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        pass  # TODO add if relevant

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        pass  # TODO add if relevant

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  List[str]           =     self.get_tokenizer()

        # Testing tokenization
        SCREAMING_SNAKE_CASE_				:  List[Any]           =     'こんにちは、世界。　こんばんは、㔺界。'
        SCREAMING_SNAKE_CASE_				:  List[str]           =     ['こん', 'にちは', '、', '世界', '。', '<SP>', 'こん', 'ばんは', '、', '㔺界', '。']
        SCREAMING_SNAKE_CASE_				:  str           =     tokenizer.tokenize(_SCREAMING_SNAKE_CASE					)
        self.assertListEqual(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					)

        # Testing conversion to ids without special tokens
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
        SCREAMING_SNAKE_CASE_				:  List[str]           =     tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE					)
        self.assertListEqual(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					)

        # Testing conversion to ids with special tokens
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     tokens + [tokenizer.unk_token]
        SCREAMING_SNAKE_CASE_				:  str           =     [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
        SCREAMING_SNAKE_CASE_				:  str           =     tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE					)
        self.assertListEqual(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					)

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     self.get_tokenizer()

        # Testing tokenization
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     'こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。'
        SCREAMING_SNAKE_CASE_				:  str           =     'こんにちは、、、、世界。こんばんは、、、、世界。'
        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     tokenizer.encode(_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     tokenizer.decode(_SCREAMING_SNAKE_CASE					)
        self.assertEqual(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					)

  @slow
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese'					)

        # Testing tokenization
        SCREAMING_SNAKE_CASE_				:  int           =     'こんにちは、世界。'
        SCREAMING_SNAKE_CASE_				:  List[str]           =     'こんばんは、㔺界。😀'
        SCREAMING_SNAKE_CASE_				:  List[str]           =     'こんにちは、世界。こんばんは、世界。😀'
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     tokenizer.encode(prefix_text + input_text					)
        SCREAMING_SNAKE_CASE_				:  int           =     tokenizer.encode('' ,					prefix_text=prefix_text + input_text					)
        SCREAMING_SNAKE_CASE_				:  List[Any]           =     tokenizer.encode(_SCREAMING_SNAKE_CASE ,					prefix_text=_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  List[str]           =     tokenizer.decode(_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  str           =     tokenizer.decode(_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  Dict           =     tokenizer.decode(_SCREAMING_SNAKE_CASE					)
        self.assertEqual(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					)
        self.assertEqual(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					)
        self.assertEqual(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					)

  @slow
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Any           =     self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese'					)

        # Testing tokenization
        SCREAMING_SNAKE_CASE_				:  Any           =     'こんにちは、世界。'
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     'こんばんは、㔺界。😀'

        SCREAMING_SNAKE_CASE_				:  int           =     len(tokenizer.encode(_SCREAMING_SNAKE_CASE					)					) - 2
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     len(tokenizer.encode(_SCREAMING_SNAKE_CASE					)					) - 2

        SCREAMING_SNAKE_CASE_				:  str           =     [1] + [0] * (len_prefix + len_text + 1)
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     [1] * (len_prefix + len_text + 1) + [0]
        SCREAMING_SNAKE_CASE_				:  Dict           =     [1] + [1] * (len_prefix) + [0] * (len_text + 1)

        SCREAMING_SNAKE_CASE_				:  Any           =     tokenizer(prefix_text + input_text					).token_type_ids
        SCREAMING_SNAKE_CASE_				:  List[Any]           =     tokenizer('' ,					prefix_text=prefix_text + input_text					).token_type_ids
        SCREAMING_SNAKE_CASE_				:  Tuple           =     tokenizer(_SCREAMING_SNAKE_CASE ,					prefix_text=_SCREAMING_SNAKE_CASE					).token_type_ids
        self.assertListEqual(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					)
        self.assertListEqual(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					)
        self.assertListEqual(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					)

  @slow
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  int           =     self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese'					)

        SCREAMING_SNAKE_CASE_				:  List[Any]           =     tokenizer.encode('あンいワ'					)
        SCREAMING_SNAKE_CASE_				:  Dict           =     tokenizer.encode('' ,					prefix_text='あンいワ'					)
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     tokenizer.encode('いワ' ,					prefix_text='あン'					)

        self.assertEqual(tokenizer.decode(_SCREAMING_SNAKE_CASE					) ,					tokenizer.decode(_SCREAMING_SNAKE_CASE					)					)
        self.assertEqual(tokenizer.decode(_SCREAMING_SNAKE_CASE					) ,					tokenizer.decode(_SCREAMING_SNAKE_CASE					)					)
        self.assertNotEqual(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					)
        self.assertNotEqual(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					)
        self.assertEqual(x_token_a[1] ,					x_token_a[-1]					)  # SEG token
        self.assertEqual(x_token_a[1] ,					x_token_a[3]					)  # SEG token

  @slow
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese'					)

        SCREAMING_SNAKE_CASE_				:  Tuple           =     [['武田信玄', 'は、'], ['織田信長', 'の配下の、']]
        SCREAMING_SNAKE_CASE_				:  Tuple           =     tokenizer(_SCREAMING_SNAKE_CASE ,					padding=_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     tokenizer.batch_encode_plus(_SCREAMING_SNAKE_CASE ,					padding=_SCREAMING_SNAKE_CASE					)

        # fmt: off
        SCREAMING_SNAKE_CASE_				:  List[str]           =     [[3_5993, 8640, 2_5948, 3_5998, 3_0647, 3_5675, 3_5999, 3_5999], [3_5993, 1_0382, 9868, 3_5998, 3_0646, 9459, 3_0646, 3_5675]]
        SCREAMING_SNAKE_CASE_				:  int           =     [[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
        SCREAMING_SNAKE_CASE_				:  Any           =     [[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
        # fmt: on
        self.assertListEqual(x_token.input_ids ,					_SCREAMING_SNAKE_CASE					)
        self.assertListEqual(x_token.token_type_ids ,					_SCREAMING_SNAKE_CASE					)
        self.assertListEqual(x_token.attention_mask ,					_SCREAMING_SNAKE_CASE					)
        self.assertListEqual(x_token_a.input_ids ,					_SCREAMING_SNAKE_CASE					)
        self.assertListEqual(x_token_a.token_type_ids ,					_SCREAMING_SNAKE_CASE					)
        self.assertListEqual(x_token_a.attention_mask ,					_SCREAMING_SNAKE_CASE					)

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        pass



  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        pass






