
'''simple docstring'''

from __future__ import annotations

from collections.abc import Iterator
from typing import Any


class   a_  :




       def __init__(     self   ,   snake_case_  ):
         _lowerCAmelCase       :  Any   				=					data
         _lowerCAmelCase       :  Node | None   				=					None







       def __str__(     self  ):
         return f'{self.data}'



class   a_  :




       def __init__(     self  ):
         _lowerCAmelCase       :  Node | None   				=					None
         _lowerCAmelCase       :  Node | None   				=					None




       def __iter__(     self  ):
         _lowerCAmelCase       :  int   				=					self.front
         while node:
           yield node.data
           _lowerCAmelCase       :  int   				=					node.next




       def __len__(     self  ):
         return len(tuple(iter(self  )  )  )




       def __str__(     self  ):
         return " <- ".join(str(snake_case_  ) for item in self  )




       def 							__UpperCamelCase       (     self  ):
         return len(self  ) == 0




       def 							__UpperCamelCase       (     self   ,   snake_case_  ):
         _lowerCAmelCase       :  Any   				=					Node(snake_case_  )
         if self.is_empty():
           _lowerCAmelCase       :  Optional[Any]   				=					node
         else:
           assert isinstance(self.rear   ,   snake_case_  )
           _lowerCAmelCase       :  Union[str, Any]   				=					node
           _lowerCAmelCase       :  List[Any]   				=					node




       def 							__UpperCamelCase       (     self  ):
         if self.is_empty():
           raise IndexError("""dequeue from empty queue"""  )
         assert isinstance(self.front   ,   snake_case_  )
         _lowerCAmelCase       :  List[str]   				=					self.front
         _lowerCAmelCase       :  Optional[Any]   				=					self.front.next
         if self.front is None:
           _lowerCAmelCase       :  Tuple   				=					None
         return node.data







       def 							__UpperCamelCase       (     self  ):
         _lowerCAmelCase       :  List[str]   				=					None


if __name__ == "__main__":
     from doctest import testmod

     testmod()




'''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   a_  (_a							,			unittest.TestCase    ):
       __lowerCAmelCase    :				List[Any]    =      GPTNeoXJapaneseTokenizer
       __lowerCAmelCase    :				Any    =      False
       __lowerCAmelCase    :				List[Any]    =      {"""do_clean_text""": False, """add_prefix_space""": False}




       def 							__UpperCamelCase       (     self  ):
         super().setUp()

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

         _lowerCAmelCase       :  Optional[int]   				=					os.path.join(self.tmpdirname   ,   VOCAB_FILES_NAMES["""vocab_file"""]  )
         _lowerCAmelCase       :  Any   				=					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(snake_case_  )  )




       def 							__UpperCamelCase       (     self   ,   **snake_case_  ):
         kwargs.update(self.special_tokens_map  )
         return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname   ,   **snake_case_  )




       def 							__UpperCamelCase       (     self   ,   snake_case_  ):
         _lowerCAmelCase       :  Tuple   				=					"""こんにちは、世界。 \nこんばんは、㔺界。😀"""
         _lowerCAmelCase       :  str   				=					"""こんにちは、世界。 \nこんばんは、世界。😀"""
         return input_text, output_text




       def 							__UpperCamelCase       (     self   ,   snake_case_  ):
         _lowerCAmelCase				,					_lowerCAmelCase       :  str   				=					self.get_input_output_texts(snake_case_  )
         _lowerCAmelCase       :  Tuple   				=					tokenizer.encode(snake_case_   ,   add_special_tokens=snake_case_  )
         _lowerCAmelCase       :  Optional[Any]   				=					tokenizer.decode(snake_case_   ,   clean_up_tokenization_spaces=snake_case_  )
         return text, ids




       def 							__UpperCamelCase       (     self  ):
         pass  # TODO add if relevant




       def 							__UpperCamelCase       (     self  ):
         pass  # TODO add if relevant




       def 							__UpperCamelCase       (     self  ):
         pass  # TODO add if relevant




       def 							__UpperCamelCase       (     self  ):
         _lowerCAmelCase       :  List[Any]   				=					self.get_tokenizer()

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

         # Testing conversion to ids without special tokens
         _lowerCAmelCase       :  Optional[int]   				=					[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
         _lowerCAmelCase       :  Optional[int]   				=					tokenizer.convert_tokens_to_ids(snake_case_  )
         self.assertListEqual(snake_case_   ,   snake_case_  )

         # Testing conversion to ids with special tokens
         _lowerCAmelCase       :  Optional[Any]   				=					tokens + [tokenizer.unk_token]
         _lowerCAmelCase       :  List[str]   				=					[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
         _lowerCAmelCase       :  Dict   				=					tokenizer.convert_tokens_to_ids(snake_case_  )
         self.assertListEqual(snake_case_   ,   snake_case_  )




       @slow
       def 							__UpperCamelCase       (     self  ):
         _lowerCAmelCase       :  int   				=					self.tokenizer_class.from_pretrained("""abeja/gpt-neox-japanese-2.7b"""  )

         _lowerCAmelCase       :  List[Any]   				=					tokenizer.encode("""ありがとう。"""   ,   add_special_tokens=snake_case_  )
         _lowerCAmelCase       :  List[str]   				=					tokenizer.encode("""どういたしまして。"""   ,   add_special_tokens=snake_case_  )

         _lowerCAmelCase       :  int   				=					tokenizer.build_inputs_with_special_tokens(snake_case_  )
         _lowerCAmelCase       :  Any   				=					tokenizer.build_inputs_with_special_tokens(snake_case_   ,   snake_case_  )

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




       def 							__UpperCamelCase       (     self  ):
         # Intentionally convert some words to accommodate character fluctuations unique to Japanese
         pass







       def 							__UpperCamelCase       (     self  ):
         # tokenizer has no padding token
         pass


