'''simple docstring'''

from typing import Dict, List, Optional, Tuple

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


_lowerCamelCase :				Tuple														= logging.get_logger(__name__)




class    lowerCamelCase__  (   SCREAMING_SNAKE_CASE_     ):
   __UpperCAmelCase           =						["""input_ids""", """attention_mask"""]



   def __init__(    self					,      lowerCAmelCase__="[PAD]"					,      lowerCAmelCase__="[BOS]"					,      lowerCAmelCase__="[EOS]"					,      lowerCAmelCase__="[MASK]"					,      lowerCAmelCase__="[CLS]"					,      lowerCAmelCase__="[SEP]"					,      lowerCAmelCase__=2_048					,      **lowerCAmelCase__					,      )				->     None:
        """simple docstring"""





        _UpperCamelCase  :int       =AddedToken(__UpperCAmelCase					,      lstrip=__UpperCAmelCase					,      rstrip=__UpperCAmelCase     ) if isinstance(__UpperCAmelCase					,      __UpperCAmelCase     ) else pad_token
        _UpperCamelCase  :List[Any]       =AddedToken(__UpperCAmelCase					,      lstrip=__UpperCAmelCase					,      rstrip=__UpperCAmelCase     ) if isinstance(__UpperCAmelCase					,      __UpperCAmelCase     ) else bos_token
        _UpperCamelCase  :Optional[Any]       =AddedToken(__UpperCAmelCase					,      lstrip=__UpperCAmelCase					,      rstrip=__UpperCAmelCase     ) if isinstance(__UpperCAmelCase					,      __UpperCAmelCase     ) else eos_token
        _UpperCamelCase  :List[str]       =AddedToken(__UpperCAmelCase					,      lstrip=__UpperCAmelCase					,      rstrip=__UpperCAmelCase     ) if isinstance(__UpperCAmelCase					,      __UpperCAmelCase     ) else mask_token
        _UpperCamelCase  :int       =AddedToken(__UpperCAmelCase					,      lstrip=__UpperCAmelCase					,      rstrip=__UpperCAmelCase     ) if isinstance(__UpperCAmelCase					,      __UpperCAmelCase     ) else cls_token
        _UpperCamelCase  :Tuple       =AddedToken(__UpperCAmelCase					,      lstrip=__UpperCAmelCase					,      rstrip=__UpperCAmelCase     ) if isinstance(__UpperCAmelCase					,      __UpperCAmelCase     ) else sep_token

        super().__init__(
            pad_token=__UpperCAmelCase					,      bos_token=__UpperCAmelCase					,      eos_token=__UpperCAmelCase					,      mask_token=__UpperCAmelCase					,      cls_token=__UpperCAmelCase					,      sep_token=__UpperCAmelCase					,      model_max_length=__UpperCAmelCase					,      **__UpperCAmelCase					,      )

        _UpperCamelCase  :List[str]       =2**8  # utf is 8 bits

        # define special tokens dict
        _UpperCamelCase  :Dict       ={
            self.pad_token: 0,
            self.bos_token: 1,
            self.eos_token: 2,
            self.mask_token: 3,
            self.cls_token: 4,
            self.sep_token: 5,
        }
        _UpperCamelCase  :List[Any]       =len(self.special_tokens_encoder     )
        _UpperCamelCase  :int       ={v: k for k, v in self.special_tokens_encoder.items()}



   def  _UpperCamelCase		(    self     )				->     Dict[str, int]:
        """simple docstring"""





        _UpperCamelCase  :str       =self.special_tokens_encoder.copy()
        vocab.update(self.added_tokens_encoder     )
        for i in range(self._utf_vocab_size     ):
             _UpperCamelCase  :List[Any]       =chr(__UpperCAmelCase     )
             _UpperCamelCase  :str       =i + len(self.special_tokens_encoder     )
        return vocab



   @property
   def  _UpperCamelCase		(    self     )				->     Any:
        """simple docstring"""





        return self._utf_vocab_size + self._num_special_tokens



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__					,      lowerCAmelCase__ = None					,      lowerCAmelCase__ = False     )				->     List[int]:
        """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     )

        # normal case: some special tokens
        if token_ids_a is None:
             return [1] + [0] * len(__UpperCAmelCase     ) + [1]
        return [1] + ([0] * len(__UpperCAmelCase     )) + [1] + ([0] * len(__UpperCAmelCase     )) + [1]



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__					,      lowerCAmelCase__ = None     )				->     List[int]:
        """simple docstring"""





        if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        else:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     List[str]:
        """simple docstring"""





        _UpperCamelCase  :Optional[int]       =[chr(__UpperCAmelCase     ) for i in text.encode("""utf-8"""     )]
        return tokens



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     Tuple:
        """simple docstring"""





        if token in self.special_tokens_encoder:
             _UpperCamelCase  :Optional[Any]       =self.special_tokens_encoder[token]
        elif token in self.added_tokens_encoder:
             _UpperCamelCase  :Dict       =self.added_tokens_encoder[token]
        elif len(__UpperCAmelCase     ) != 1:
             _UpperCamelCase  :Any       =self.unk_token_id
        else:
             _UpperCamelCase  :Any       =ord(__UpperCAmelCase     ) + self._num_special_tokens
        return token_id



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     str:
        """simple docstring"""





        if index in self.special_tokens_decoder:
             _UpperCamelCase  :List[Any]       =self.special_tokens_decoder[index]
        elif index in self.added_tokens_decoder:
             _UpperCamelCase  :Any       =self.added_tokens_decoder[index]
        else:
             _UpperCamelCase  :Any       =chr(index - self._num_special_tokens     )
        return token



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     List[Any]:
        """simple docstring"""





        _UpperCamelCase  :int       =B""""""
        for token in tokens:
             if token in self.special_tokens_decoder:
                  _UpperCamelCase  :str       =self.special_tokens_decoder[token].encode("""utf-8"""     )
             elif token in self.added_tokens_decoder:
                  _UpperCamelCase  :Union[str, Any]       =self.special_tokens_decoder[token].encode("""utf-8"""     )
             elif token in self.special_tokens_encoder:
                  _UpperCamelCase  :List[str]       =token.encode("""utf-8"""     )
             elif token in self.added_tokens_encoder:
                  _UpperCamelCase  :Dict       =token.encode("""utf-8"""     )
             else:
                  _UpperCamelCase  :int       =bytes([ord(__UpperCAmelCase     )]     )
             bstring += tok_string
        _UpperCamelCase  :List[Any]       =bstring.decode("""utf-8"""					,      errors="""replace"""     )
        return string




   def  _UpperCamelCase		(    self					,      lowerCAmelCase__					,      lowerCAmelCase__ = None     )				->     Tuple[str]:
        """simple docstring"""





        return ()

"""simple docstring"""






import json
import os
import unittest

from transformers.models.gpt_neox_japanese.tokenization_gpt_neox_japanese import (
    VOCAB_FILES_NAMES,
    GPTNeoXJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 							snake_case       (     SCREAMING_SNAKE_CASE_							,       unittest.TestCase		):
   a_					:		Optional[int]     					=     GPTNeoXJapaneseTokenizer
   a_					:		Dict     					=     False
   a_					:		Union[str, Any]     					=     {"""do_clean_text""": False, """add_prefix_space""": False}







   def    UpperCAmelCase__	( self)   ->Union[str, Any]:
      super().setUp()

      a_						   =     [
          "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>",
          "<|startoftext|>",
          "<|endoftext|>",
      ]
      a_						   =     {"emoji": {"\ud83d\ude00": "<|emoji1|>"}, "emoji_inv": {"<|emoji1|>": "\ud83d\ude00"}}  # 😀
      a_						   =     {"unk_token": "<unk>"}

      a_						   =     os.path.join(self.tmpdirname       ,							VOCAB_FILES_NAMES["vocab_file"])
      a_						   =     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(__UpperCAmelCase))







   def    UpperCAmelCase__	( self       ,							**__UpperCAmelCase)   ->int:
      kwargs.update(self.special_tokens_map)
      return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname       ,							**__UpperCAmelCase)







   def    UpperCAmelCase__	( self       ,							__UpperCAmelCase)   ->Dict:
      a_						   =     "こんにちは、世界。 \nこんばんは、㔺界。😀"
      a_						   =     "こんにちは、世界。 \nこんばんは、世界。😀"
      return input_text, output_text







   def    UpperCAmelCase__	( self       ,							__UpperCAmelCase)   ->Optional[Any]:
      a_   ,			a_						   =     self.get_input_output_texts(__UpperCAmelCase)
      a_						   =     tokenizer.encode(__UpperCAmelCase       ,							add_special_tokens=__UpperCAmelCase)
      a_						   =     tokenizer.decode(__UpperCAmelCase       ,							clean_up_tokenization_spaces=__UpperCAmelCase)
      return text, ids







   def    UpperCAmelCase__	( self)   ->Any:
      pass  # TODO add if relevant







   def    UpperCAmelCase__	( self)   ->int:
      pass  # TODO add if relevant







   def    UpperCAmelCase__	( self)   ->Optional[Any]:
      pass  # TODO add if relevant







   def    UpperCAmelCase__	( self)   ->List[str]:
      a_						   =     self.get_tokenizer()

      # Testing tokenization
      a_						   =     "こんにちは、世界。　こんばんは、㔺界。"
      a_						   =     ["こん", "にちは", "、", "世界", "。", "<SP>", "こん", "ばんは", "、", "㔺界", "。"]
      a_						   =     tokenizer.tokenize(__UpperCAmelCase)
      self.assertListEqual(__UpperCAmelCase       ,							__UpperCAmelCase)

      # Testing conversion to ids without special tokens
      a_						   =     [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
      a_						   =     tokenizer.convert_tokens_to_ids(__UpperCAmelCase)
      self.assertListEqual(__UpperCAmelCase       ,							__UpperCAmelCase)

      # Testing conversion to ids with special tokens
      a_						   =     tokens + [tokenizer.unk_token]
      a_						   =     [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
      a_						   =     tokenizer.convert_tokens_to_ids(__UpperCAmelCase)
      self.assertListEqual(__UpperCAmelCase       ,							__UpperCAmelCase)







   @slow
   def    UpperCAmelCase__	( self)   ->Tuple:
      a_						   =     self.tokenizer_class.from_pretrained("abeja/gpt-neox-japanese-2.7b")

      a_						   =     tokenizer.encode("ありがとう。"       ,							add_special_tokens=__UpperCAmelCase)
      a_						   =     tokenizer.encode("どういたしまして。"       ,							add_special_tokens=__UpperCAmelCase)

      a_						   =     tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase)
      a_						   =     tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase       ,							__UpperCAmelCase)

      assert encoded_sentence == ids_a
      assert encoded_pair == ids_a + ids_a







   def    UpperCAmelCase__	( self)   ->Tuple:
      # Intentionally convert some words to accommodate character fluctuations unique to Japanese
      pass







   def    UpperCAmelCase__	( self)   ->Union[str, Any]:
      # tokenizer has no padding token
      pass