
"""simple docstring"""





import json
import os
import unittest

from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
    VOCAB_FILES_NAMES,
    GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class    _UpperCAmelCase(   lowerCamelCase				,					unittest.TestCase     ):
		lowercase__      =				GPTSanJapaneseTokenizer
		lowercase__      =				False
		lowercase__      =				{'do_clean_text': False, 'add_prefix_space': False}



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






							'''simple docstring'''
							super().setUp()

							# fmt: off
							_UpperCamelCase										=  ['''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>''', '''<|bagoftoken|>''', '''<|endoftext|>''']
							# fmt: on
							_UpperCamelCase										=  {'''emoji''': {'''\ud83d\ude00''': '''<|emoji1|>'''}, '''emoji_inv''': {'''<|emoji1|>''': '''\ud83d\ude00'''}}  # 😀
							_UpperCamelCase										=  {'''unk_token''': '''<unk>'''}

							_UpperCamelCase										=  os.path.join(self.tmpdirname    ,		VOCAB_FILES_NAMES['''vocab_file'''])
							_UpperCamelCase										=  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(__a))



		def 						UpperCAmelCase							( self    ,		**__a)	->	Union[str, Any]:






							'''simple docstring'''
							kwargs.update(self.special_tokens_map)
							return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname    ,		**__a)



		def 						UpperCAmelCase							( self    ,		__a)	->	int:






							'''simple docstring'''
							_UpperCamelCase										=  '''こんにちは、世界。 \nこんばんは、㔺界。😀'''
							_UpperCamelCase										=  '''こんにちは、世界。 \nこんばんは、世界。😀'''
							return input_text, output_text



		def 						UpperCAmelCase							( self    ,		__a)	->	Tuple:






							'''simple docstring'''
							_UpperCamelCase			,  _UpperCamelCase										=  self.get_input_output_texts(__a)
							_UpperCamelCase										=  tokenizer.encode(__a    ,		add_special_tokens=__a)
							_UpperCamelCase										=  tokenizer.decode(__a    ,		clean_up_tokenization_spaces=__a)
							return text, ids



		def 						UpperCAmelCase							( self)	->	Tuple:






							'''simple docstring'''
							pass  # TODO add if relevant



		def 						UpperCAmelCase							( self)	->	str:






							'''simple docstring'''
							pass  # TODO add if relevant



		def 						UpperCAmelCase							( self)	->	int:






							'''simple docstring'''
							pass  # TODO add if relevant



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






							'''simple docstring'''
							_UpperCamelCase										=  self.get_tokenizer()

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

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

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



		def 						UpperCAmelCase							( self)	->	str:






							'''simple docstring'''
							_UpperCamelCase										=  self.get_tokenizer()

							# Testing tokenization
							_UpperCamelCase										=  '''こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。'''
							_UpperCamelCase										=  '''こんにちは、、、、世界。こんばんは、、、、世界。'''
							_UpperCamelCase										=  tokenizer.encode(__a)
							_UpperCamelCase										=  tokenizer.decode(__a)
							self.assertEqual(__a    ,		__a)



		@slow
		def 						UpperCAmelCase							( self)	->	str:






							'''simple docstring'''
							_UpperCamelCase										=  self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese''')

							# Testing tokenization
							_UpperCamelCase										=  '''こんにちは、世界。'''
							_UpperCamelCase										=  '''こんばんは、㔺界。😀'''
							_UpperCamelCase										=  '''こんにちは、世界。こんばんは、世界。😀'''
							_UpperCamelCase										=  tokenizer.encode(prefix_text + input_text)
							_UpperCamelCase										=  tokenizer.encode(''''''    ,		prefix_text=prefix_text + input_text)
							_UpperCamelCase										=  tokenizer.encode(__a    ,		prefix_text=__a)
							_UpperCamelCase										=  tokenizer.decode(__a)
							_UpperCamelCase										=  tokenizer.decode(__a)
							_UpperCamelCase										=  tokenizer.decode(__a)
							self.assertEqual(__a    ,		__a)
							self.assertEqual(__a    ,		__a)
							self.assertEqual(__a    ,		__a)



		@slow
		def 						UpperCAmelCase							( self)	->	List[Any]:






							'''simple docstring'''
							_UpperCamelCase										=  self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese''')

							# Testing tokenization
							_UpperCamelCase										=  '''こんにちは、世界。'''
							_UpperCamelCase										=  '''こんばんは、㔺界。😀'''

							_UpperCamelCase										=  len(tokenizer.encode(__a)) - 2
							_UpperCamelCase										=  len(tokenizer.encode(__a)) - 2

							_UpperCamelCase										=  [1] + [0] * (len_prefix + len_text + 1)
							_UpperCamelCase										=  [1] * (len_prefix + len_text + 1) + [0]
							_UpperCamelCase										=  [1] + [1] * (len_prefix) + [0] * (len_text + 1)

							_UpperCamelCase										=  tokenizer(prefix_text + input_text).token_type_ids
							_UpperCamelCase										=  tokenizer(''''''    ,		prefix_text=prefix_text + input_text).token_type_ids
							_UpperCamelCase										=  tokenizer(__a    ,		prefix_text=__a).token_type_ids
							self.assertListEqual(__a    ,		__a)
							self.assertListEqual(__a    ,		__a)
							self.assertListEqual(__a    ,		__a)



		@slow
		def 						UpperCAmelCase							( self)	->	Dict:






							'''simple docstring'''
							_UpperCamelCase										=  self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese''')

							_UpperCamelCase										=  tokenizer.encode('''あンいワ''')
							_UpperCamelCase										=  tokenizer.encode(''''''    ,		prefix_text='''あンいワ''')
							_UpperCamelCase										=  tokenizer.encode('''いワ'''    ,		prefix_text='''あン''')

							self.assertEqual(tokenizer.decode(__a)    ,		tokenizer.decode(__a))
							self.assertEqual(tokenizer.decode(__a)    ,		tokenizer.decode(__a))
							self.assertNotEqual(__a    ,		__a)
							self.assertNotEqual(__a    ,		__a)
							self.assertEqual(x_token_a[1]    ,		x_token_a[-1])  # SEG token
							self.assertEqual(x_token_a[1]    ,		x_token_a[3])  # SEG token



		@slow
		def 						UpperCAmelCase							( self)	->	Optional[Any]:






							'''simple docstring'''
							_UpperCamelCase										=  self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese''')

							_UpperCamelCase										=  [['''武田信玄''', '''は、'''], ['''織田信長''', '''の配下の、''']]
							_UpperCamelCase										=  tokenizer(__a    ,		padding=__a)
							_UpperCamelCase										=  tokenizer.batch_encode_plus(__a    ,		padding=__a)

							# fmt: off
							_UpperCamelCase										=  [[3_59_93, 86_40, 2_59_48, 3_59_98, 3_06_47, 3_56_75, 3_59_99, 3_59_99], [3_59_93, 1_03_82, 98_68, 3_59_98, 3_06_46, 94_59, 3_06_46, 3_56_75]]
							_UpperCamelCase										=  [[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
							_UpperCamelCase										=  [[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
							# fmt: on
							self.assertListEqual(x_token.input_ids    ,		__a)
							self.assertListEqual(x_token.token_type_ids    ,		__a)
							self.assertListEqual(x_token.attention_mask    ,		__a)
							self.assertListEqual(x_token_a.input_ids    ,		__a)
							self.assertListEqual(x_token_a.token_type_ids    ,		__a)
							self.assertListEqual(x_token_a.attention_mask    ,		__a)



		def 						UpperCAmelCase							( self)	->	Dict:






							'''simple docstring'''
							# Intentionally convert some words to accommodate character fluctuations unique to Japanese
							pass




		def 						UpperCAmelCase							( self)	->	Dict:






							'''simple docstring'''
							# tokenizer has no padding token
							pass








"""simple docstring"""





import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    """The `inpainting.py` script is outdated. Please use directly `from diffusers import"""
    """ StableDiffusionInpaintPipeline` instead."""
)






