



"""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 SCREAMING_SNAKE_CASE__					(		__snake_case     ,					unittest.TestCase      ):
						_lowerCAmelCase							=					GPTSanJapaneseTokenizer
						_lowerCAmelCase							=					False
						_lowerCAmelCase							=					{"do_clean_text": False, "add_prefix_space": False}



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													super().setUp()

													# fmt: off
													__a		:		Dict									=       ["""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
													__a		:		str									=       {"""emoji""": {"""\ud83d\ude00""": """<|emoji1|>"""}, """emoji_inv""": {"""<|emoji1|>""": """\ud83d\ude00"""}}  # 😀
													__a		:		str									=       {"""unk_token""": """<unk>"""}

													__a		:		Optional[Any]									=       os.path.join(self.tmpdirname						,     VOCAB_FILES_NAMES["""vocab_file"""]							)
													__a		:		List[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(_lowercase							)							)



						def     lowerCAmelCase__(self						,     **_lowercase							):





													'''simple docstring'''

													kwargs.update(self.special_tokens_map							)
													return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname						,     **_lowercase							)



						def     lowerCAmelCase__(self						,     _lowercase							):





													'''simple docstring'''

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



						def     lowerCAmelCase__(self						,     _lowercase							):





													'''simple docstring'''

													__a							,     __a		:		Dict									=       self.get_input_output_texts(_lowercase							)
													__a		:		Union[str, Any]									=       tokenizer.encode(_lowercase						,     add_special_tokens=_lowercase							)
													__a		:		List[Any]									=       tokenizer.decode(_lowercase						,     clean_up_tokenization_spaces=_lowercase							)
													return text, ids



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													pass  # TODO add if relevant



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													pass  # TODO add if relevant



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													pass  # TODO add if relevant



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Dict									=       self.get_tokenizer()

													# Testing tokenization
													__a		:		str									=       """こんにちは、世界。　こんばんは、㔺界。"""
													__a		:		List[str]									=       ["""こん""", """にちは""", """、""", """世界""", """。""", """<SP>""", """こん""", """ばんは""", """、""", """㔺界""", """。"""]
													__a		:		int									=       tokenizer.tokenize(_lowercase							)
													self.assertListEqual(_lowercase						,     _lowercase							)

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

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



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Tuple									=       self.get_tokenizer()

													# Testing tokenization
													__a		:		Any									=       """こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。"""
													__a		:		Any									=       """こんにちは、、、、世界。こんばんは、、、、世界。"""
													__a		:		Tuple									=       tokenizer.encode(_lowercase							)
													__a		:		List[Any]									=       tokenizer.decode(_lowercase							)
													self.assertEqual(_lowercase						,     _lowercase							)



						@slow
						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Any									=       self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""							)

													# Testing tokenization
													__a		:		Optional[int]									=       """こんにちは、世界。"""
													__a		:		Union[str, Any]									=       """こんばんは、㔺界。😀"""
													__a		:		List[str]									=       """こんにちは、世界。こんばんは、世界。😀"""
													__a		:		Tuple									=       tokenizer.encode(prefix_text + input_text							)
													__a		:		Optional[int]									=       tokenizer.encode(""""""						,     prefix_text=prefix_text + input_text							)
													__a		:		Union[str, Any]									=       tokenizer.encode(_lowercase						,     prefix_text=_lowercase							)
													__a		:		str									=       tokenizer.decode(_lowercase							)
													__a		:		Optional[Any]									=       tokenizer.decode(_lowercase							)
													__a		:		str									=       tokenizer.decode(_lowercase							)
													self.assertEqual(_lowercase						,     _lowercase							)
													self.assertEqual(_lowercase						,     _lowercase							)
													self.assertEqual(_lowercase						,     _lowercase							)



						@slow
						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		int									=       self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""							)

													# Testing tokenization
													__a		:		Union[str, Any]									=       """こんにちは、世界。"""
													__a		:		Optional[int]									=       """こんばんは、㔺界。😀"""

													__a		:		Optional[Any]									=       len(tokenizer.encode(_lowercase							)							) - 2
													__a		:		List[Any]									=       len(tokenizer.encode(_lowercase							)							) - 2

													__a		:		List[str]									=       [1] + [0] * (len_prefix + len_text + 1)
													__a		:		Union[str, Any]									=       [1] * (len_prefix + len_text + 1) + [0]
													__a		:		str									=       [1] + [1] * (len_prefix) + [0] * (len_text + 1)

													__a		:		Optional[int]									=       tokenizer(prefix_text + input_text							).token_type_ids
													__a		:		Optional[int]									=       tokenizer(""""""						,     prefix_text=prefix_text + input_text							).token_type_ids
													__a		:		Union[str, Any]									=       tokenizer(_lowercase						,     prefix_text=_lowercase							).token_type_ids
													self.assertListEqual(_lowercase						,     _lowercase							)
													self.assertListEqual(_lowercase						,     _lowercase							)
													self.assertListEqual(_lowercase						,     _lowercase							)



						@slow
						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		int									=       self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""							)

													__a		:		Dict									=       tokenizer.encode("""あンいワ"""							)
													__a		:		List[Any]									=       tokenizer.encode(""""""						,     prefix_text="""あンいワ"""							)
													__a		:		List[Any]									=       tokenizer.encode("""いワ"""						,     prefix_text="""あン"""							)

													self.assertEqual(tokenizer.decode(_lowercase							)						,     tokenizer.decode(_lowercase							)							)
													self.assertEqual(tokenizer.decode(_lowercase							)						,     tokenizer.decode(_lowercase							)							)
													self.assertNotEqual(_lowercase						,     _lowercase							)
													self.assertNotEqual(_lowercase						,     _lowercase							)
													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     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Union[str, Any]									=       self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""							)

													__a		:		Optional[int]									=       [["""武田信玄""", """は、"""], ["""織田信長""", """の配下の、"""]]
													__a		:		str									=       tokenizer(_lowercase						,     padding=_lowercase							)
													__a		:		Optional[int]									=       tokenizer.batch_encode_plus(_lowercase						,     padding=_lowercase							)

													# fmt: off
													__a		:		Union[str, Any]									=       [[35993, 8640, 25948, 35998, 30647, 35675, 35999, 35999], [35993, 10382, 9868, 35998, 30646, 9459, 30646, 35675]]
													__a		:		str									=       [[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
													__a		:		Any									=       [[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
													# fmt: on
													self.assertListEqual(x_token.input_ids						,     _lowercase							)
													self.assertListEqual(x_token.token_type_ids						,     _lowercase							)
													self.assertListEqual(x_token.attention_mask						,     _lowercase							)
													self.assertListEqual(x_token_a.input_ids						,     _lowercase							)
													self.assertListEqual(x_token_a.token_type_ids						,     _lowercase							)
													self.assertListEqual(x_token_a.attention_mask						,     _lowercase							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													pass





						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													pass






"""simple docstring"""

from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available




@dataclass
class SCREAMING_SNAKE_CASE__					(		__snake_case      ):
						_lowerCAmelCase							=					42
						_lowerCAmelCase							=					42


if is_transformers_available() and is_torch_available():
	from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline

