
'''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							(    __UpperCAmelCase						,  unittest.TestCase			):
			lowerCamelCase							:							Optional[Any]    						=					GPTNeoXJapaneseTokenizer
			lowerCamelCase							:							Tuple    						=					False
			lowerCamelCase							:							str    						=					{"""do_clean_text""": False, """add_prefix_space""": False}



			def A__	(   self    )     ->						List[str]:




									'''simple docstring'''



									super().setUp()

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

									lowercase__								=    os.path.join(self.tmpdirname    ,       VOCAB_FILES_NAMES["""vocab_file"""]    )
									lowercase__								=    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__    )     ->						Optional[Any]:




									'''simple docstring'''



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



			def A__	(   self    ,       lowerCamelCase__    )     ->						Any:




									'''simple docstring'''



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



			def A__	(   self    ,       lowerCamelCase__    )     ->						str:




									'''simple docstring'''



									lowercase__	,  lowercase__								=    self.get_input_output_texts(lowerCamelCase__    )
									lowercase__								=    tokenizer.encode(lowerCamelCase__    ,       add_special_tokens=lowerCamelCase__    )
									lowercase__								=    tokenizer.decode(lowerCamelCase__    ,       clean_up_tokenization_spaces=lowerCamelCase__    )
									return text, ids



			def A__	(   self    )     ->						int:




									'''simple docstring'''



									pass  # TODO add if relevant



			def A__	(   self    )     ->						Union[str, Any]:




									'''simple docstring'''



									pass  # TODO add if relevant



			def A__	(   self    )     ->						Union[str, Any]:




									'''simple docstring'''



									pass  # TODO add if relevant



			def A__	(   self    )     ->						Optional[int]:




									'''simple docstring'''



									lowercase__								=    self.get_tokenizer()

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

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

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



			@slow
			def A__	(   self    )     ->						Any:




									'''simple docstring'''



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

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

									lowercase__								=    tokenizer.build_inputs_with_special_tokens(lowerCamelCase__    )
									lowercase__								=    tokenizer.build_inputs_with_special_tokens(lowerCamelCase__    ,       lowerCamelCase__    )

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



			def A__	(   self    )     ->						List[Any]:




									'''simple docstring'''



									pass



			def A__	(   self    )     ->						Any:




									'''simple docstring'''



									pass








'''simple docstring'''



def 	_A						(							lowercase__		):
						if not isinstance(lowercase__						,						lowercase__		):
												raise ValueError("""Input series is not valid, valid series - [1, 2/3, 2]"""		)
						if len(lowercase__		) == 0:
												raise ValueError("""Input list must be a non empty list"""		)
						if len(lowercase__		) == 1 and series[0] != 0:
												return True
						lowercase__								=    []
						lowercase__								=    len(lowercase__		)
						for i in range(0						,						lowercase__		):
												if series[i] == 0:
																		raise ValueError("""Input series cannot have 0 as an element"""		)
												rec_series.append(1 / series[i]		)
						lowercase__								=    rec_series[1] - rec_series[0]
						for index in range(2						,						lowercase__		):
												if rec_series[index] - rec_series[index - 1] != common_diff:
																		return False
						return True





def 	_A						(							lowercase__		):
						if not isinstance(lowercase__						,						lowercase__		):
												raise ValueError("""Input series is not valid, valid series - [2, 4, 6]"""		)
						if len(lowercase__		) == 0:
												raise ValueError("""Input list must be a non empty list"""		)
						lowercase__								=    0
						for val in series:
												answer += 1 / val
						return len(lowercase__		) / answer


if __name__ == "__main__":
				import doctest

				doctest.testmod()






