


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 					a					(				UpperCAmelCase_							, unittest.TestCase     ):



      """simple docstring"""


      a						:				Optional[int]							 =			GPTNeoXJapaneseTokenizer
      a						:				Tuple							 =			False
      a						:				List[Any]							 =			{'do_clean_text': False, 'add_prefix_space': False}
      def 			UpperCAmelCase   (   self      :    Dict      )							->   Optional[Any]:
        super().setUp()

        __UpperCAmelCase							:			Optional[int]     =						[
            """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|>""",
        ]
        __UpperCAmelCase							:			int     =						{"""emoji""": {"""\ud83d\ude00""": """<|emoji1|>"""}, """emoji_inv""": {"""<|emoji1|>""": """\ud83d\ude00"""}}  # 😀
        __UpperCAmelCase							:			List[Any]     =						{"""unk_token""": """<unk>"""}

        __UpperCAmelCase							:			List[Any]     =						os.path.join(self.tmpdirname	,   VOCAB_FILES_NAMES["""vocab_file"""]      )
        __UpperCAmelCase							:			int     =						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(__lowercase      )      )
      def 			UpperCAmelCase   (   self      :    Dict	,   **__lowercase      :    str      )							->   Tuple:
        kwargs.update(self.special_tokens_map      )
        return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname	,   **__lowercase      )
      def 			UpperCAmelCase   (   self      :    List[str]	,   __lowercase      :    str      )							->   Dict:
        __UpperCAmelCase							:			Dict     =						"""こんにちは、世界。 \nこんばんは、㔺界。😀"""
        __UpperCAmelCase							:			List[str]     =						"""こんにちは、世界。 \nこんばんは、世界。😀"""
        return input_text, output_text
      def 			UpperCAmelCase   (   self      :    Dict	,   __lowercase      :    List[Any]      )							->   List[Any]:
        __UpperCAmelCase   ,				__UpperCAmelCase							:			Union[str, Any]     =						self.get_input_output_texts(__lowercase      )
        __UpperCAmelCase							:			List[Any]     =						tokenizer.encode(__lowercase	,   add_special_tokens=__lowercase      )
        __UpperCAmelCase							:			int     =						tokenizer.decode(__lowercase	,   clean_up_tokenization_spaces=__lowercase      )
        return text, ids
      def 			UpperCAmelCase   (   self      :    Dict      )							->   Optional[int]:
        pass  # TODO add if relevant
      def 			UpperCAmelCase   (   self      :    Union[str, Any]      )							->   Tuple:
        pass  # TODO add if relevant
      def 			UpperCAmelCase   (   self      :    str      )							->   Optional[Any]:
        pass  # TODO add if relevant
      def 			UpperCAmelCase   (   self      :    Tuple      )							->   int:
        __UpperCAmelCase							:			int     =						self.get_tokenizer()

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

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

        # Testing conversion to ids with special tokens
        __UpperCAmelCase							:			Optional[int]     =						tokens + [tokenizer.unk_token]
        __UpperCAmelCase							:			str     =						[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
        __UpperCAmelCase							:			Any     =						tokenizer.convert_tokens_to_ids(__lowercase      )
        self.assertListEqual(__lowercase	,   __lowercase      )
      @slow
      def 			UpperCAmelCase   (   self      :    List[str]      )							->   Optional[int]:
        __UpperCAmelCase							:			Optional[Any]     =						self.tokenizer_class.from_pretrained("""abeja/gpt-neox-japanese-2.7b"""      )

        __UpperCAmelCase							:			Dict     =						tokenizer.encode("""ありがとう。"""	,   add_special_tokens=__lowercase      )
        __UpperCAmelCase							:			Optional[int]     =						tokenizer.encode("""どういたしまして。"""	,   add_special_tokens=__lowercase      )

        __UpperCAmelCase							:			Dict     =						tokenizer.build_inputs_with_special_tokens(__lowercase      )
        __UpperCAmelCase							:			List[str]     =						tokenizer.build_inputs_with_special_tokens(__lowercase	,   __lowercase      )

        assert encoded_sentence == ids_a
        assert encoded_pair == ids_a + ids_a
      def 			UpperCAmelCase   (   self      :    str      )							->   Dict:
        # Intentionally convert some words to accommodate character fluctuations unique to Japanese
        pass




      def 			UpperCAmelCase   (   self      :    Optional[Any]      )							->   List[str]:
        # tokenizer has no padding token
        pass










import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


a	: Any      =				set()
a	: List[Any]      =				get_logger(__name__)






def        lowerCamelCase__   (					__lowerCamelCase    :  Optional[str] = None	):

  def decorator(__lowerCamelCase    :  Callable	):
    global _emitted_deprecation_warnings

    if inspect.isclass(__lowerCamelCase	):
      __UpperCAmelCase							:			Optional[Any]     =						deprecated_class_or_function.__init__
      __UpperCAmelCase							:			int     =						deprecated_class_or_function.__name__
    else:
      __UpperCAmelCase							:			Any     =						deprecated_class_or_function
      __UpperCAmelCase							:			Any     =						deprecated_function.__name__
      # Support deprecating __init__ class method: class name instead
      __UpperCAmelCase							:			List[str]     =						name if name != """__init__""" else deprecated_function.__qualname__.split("""."""	)[-2]

    __UpperCAmelCase							:			Union[str, Any]     =						(
        f"""{name} is deprecated and will be removed in the next major version of datasets.""" + f""" {help_message}"""
        if help_message
        else """"""
    )

    @wraps(__lowerCamelCase	)
    def wrapper(*__lowerCamelCase    :  List[str]						,	**__lowerCamelCase    :  Tuple	):
      __UpperCAmelCase							:			Optional[Any]     =						hash(__lowerCamelCase	)
      if func_hash not in _emitted_deprecation_warnings:
        warnings.warn(__lowerCamelCase						,	category=__lowerCamelCase						,	stacklevel=2	)
        _emitted_deprecation_warnings.add(__lowerCamelCase	)
      return deprecated_function(*__lowerCamelCase						,	**__lowerCamelCase	)

    __UpperCAmelCase							:			List[str]     =						"""deprecated"""

    if inspect.isclass(__lowerCamelCase	):
      __UpperCAmelCase							:			int     =						wrapper
      return deprecated_class_or_function
    else:
      return wrapper

  return decorator
class 					a					(				enum.EnumMeta     ):



      """simple docstring"""


      def __getattribute__(   cls      :    Optional[int]	,   __lowercase      :    List[Any]      )							->   str:
        __UpperCAmelCase							:			List[Any]     =						super().__getattribute__(__lowercase      )
        if isinstance(__lowercase	,   enum.Enum      ) and obj._on_access:
          obj._on_access()
        return obj
      def __getitem__(   cls      :    Union[str, Any]	,   __lowercase      :    Optional[int]      )							->   Optional[int]:
        __UpperCAmelCase							:			Union[str, Any]     =						super().__getitem__(__lowercase      )
        if member._on_access:
          member._on_access()
        return member




      def __call__(   cls      :    List[str]	,   __lowercase      :    Dict	,   __lowercase      :    List[Any]=None	,   *, __lowercase      :    Dict=None	,   __lowercase      :    Any=None	,   __lowercase      :    Optional[Any]=None	,   __lowercase      :    Dict=1      )							->   List[Any]:
        __UpperCAmelCase							:			Union[str, Any]     =						super().__call__(__lowercase	,   __lowercase	,   module=__lowercase	,   qualname=__lowercase	,   type=__lowercase	,   start=__lowercase      )
        if isinstance(__lowercase	,   enum.Enum      ) and obj._on_access:
          obj._on_access()
        return obj


class 					a					(				enum.Enum							, metaclass=lowercase__     ):



      """simple docstring"""


      def __new__(   cls      :    Dict	,   __lowercase      :    Tuple      )							->   Optional[Any]:
        __UpperCAmelCase							:			List[Any]     =						object.__new__(cls      )
        __UpperCAmelCase							:			Any     =						value
        __UpperCAmelCase							:			int     =						member.deprecate
        return member
      @property
      def 			UpperCAmelCase   (   self      :    Optional[Any]      )							->   Dict:
        return ""




      def 			UpperCAmelCase   (   self      :    str      )							->   Dict:
        __UpperCAmelCase							:			Optional[int]     =						f""" {self.help_message}""" if self.help_message else """"""
        warnings.warn(
            f"""'{self.__objclass__.__name__}' is deprecated and will be removed in the next major version of datasets."""
            + help_message	,   __lowercase	,   stacklevel=3	,   )


