'''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__( lowerCAmelCase__			,						unittest.TestCase     ):


			'''simple docstring'''






			UpperCAmelCase_      :					str								=	GPTNeoXJapaneseTokenizer
			UpperCAmelCase_      :					Dict								=	False
			UpperCAmelCase_      :					Optional[Any]								=	{'''do_clean_text''': False, '''add_prefix_space''': False}



			def 							a_	(       self):




					"""simple docstring"""


					super().setUp()

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

					lowerCAmelCase        =  os.path.join(self.tmpdirname	,   VOCAB_FILES_NAMES["""vocab_file"""])
					lowerCAmelCase        =  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(__lowerCAmelCase))



			def 							a_	(       self	,   **__lowerCAmelCase):




					"""simple docstring"""


					kwargs.update(self.special_tokens_map)
					return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname	,   **__lowerCAmelCase)



			def 							a_	(       self	,   __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase        =  """こんにちは、世界。 \nこんばんは、㔺界。😀"""
					lowerCAmelCase        =  """こんにちは、世界。 \nこんばんは、世界。😀"""
					return input_text, output_text



			def 							a_	(       self	,   __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase ,					lowerCAmelCase        =  self.get_input_output_texts(__lowerCAmelCase)
					lowerCAmelCase        =  tokenizer.encode(__lowerCAmelCase	,   add_special_tokens=__lowerCAmelCase)
					lowerCAmelCase        =  tokenizer.decode(__lowerCAmelCase	,   clean_up_tokenization_spaces=__lowerCAmelCase)
					return text, ids



			def 							a_	(       self):




					"""simple docstring"""


					pass  # TODO add if relevant



			def 							a_	(       self):




					"""simple docstring"""


					pass  # TODO add if relevant



			def 							a_	(       self):




					"""simple docstring"""


					pass  # TODO add if relevant



			def 							a_	(       self):




					"""simple docstring"""


					lowerCAmelCase        =  self.get_tokenizer()

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

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

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



			@slow
			def 							a_	(       self):




					"""simple docstring"""


					lowerCAmelCase        =  self.tokenizer_class.from_pretrained("""abeja/gpt-neox-japanese-2.7b""")

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

					lowerCAmelCase        =  tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase)
					lowerCAmelCase        =  tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase	,   __lowerCAmelCase)

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



			def 							a_	(       self):




					"""simple docstring"""


					pass







			def 							a_	(       self):




					"""simple docstring"""


					pass





'''simple docstring'''




from ..utils import DummyObject, requires_backends






class     a__( metaclass=lowerCAmelCase__     ):


			'''simple docstring'''






			UpperCAmelCase_      :					Optional[int]								=	['''torch''', '''transformers''', '''k_diffusion''']



			def __init__(       self	,   *__lowerCAmelCase	,   **__lowerCAmelCase):




					"""simple docstring"""


					requires_backends(self	,   ["""torch""", """transformers""", """k_diffusion"""])



			@classmethod
			def 							a_	(       cls	,   *__lowerCAmelCase	,   **__lowerCAmelCase):




					"""simple docstring"""


					requires_backends(cls	,   ["""torch""", """transformers""", """k_diffusion"""])







			@classmethod
			def 							a_	(       cls	,   *__lowerCAmelCase	,   **__lowerCAmelCase):




					"""simple docstring"""


					requires_backends(cls	,   ["""torch""", """transformers""", """k_diffusion"""])




