



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 	lowerCamelCase__ (		_a				,					unittest.TestCase   ):
						_lowerCAmelCase								= GPTNeoXJapaneseTokenizer
						_lowerCAmelCase								= False
						_lowerCAmelCase								= {'''do_clean_text''': False, '''add_prefix_space''': False}


						def   _lowerCamelCase			( self						:  Tuple			):
													super().setUp()

													a__:       int											=[
													    "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|>",
													]
													a__:       Optional[int]											={"emoji": {"\ud83d\ude00": "<|emoji1|>"}, "emoji_inv": {"<|emoji1|>": "\ud83d\ude00"}}  # 😀
													a__:       List[Any]											={"unk_token": "<unk>"}

													a__:       int											=os.path.join(self.tmpdirname      ,       VOCAB_FILES_NAMES["vocab_file"]			)
													a__:       Union[str, 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(_a			)			)


						def   _lowerCamelCase			( self						:  Optional[Any]      ,       **_a						:  int			):
													kwargs.update(self.special_tokens_map			)
													return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname      ,       **_a			)


						def   _lowerCamelCase			( self						:  Optional[Any]      ,       _a						:  Union[str, Any]			):
													a__:       Tuple											="こんにちは、世界。 \nこんばんは、㔺界。😀"
													a__:       str											="こんにちは、世界。 \nこんばんは、世界。😀"
													return input_text, output_text


						def   _lowerCamelCase			( self						:  int      ,       _a						:  Any			):
													a__:       List[Any]											=self.get_input_output_texts(_a			)
													a__:       Any											=tokenizer.encode(_a      ,       add_special_tokens=_a			)
													a__:       Dict											=tokenizer.decode(_a      ,       clean_up_tokenization_spaces=_a			)
													return text, ids


						def   _lowerCamelCase			( self						:  Any			):
													pass  # TODO add if relevant


						def   _lowerCamelCase			( self						:  Union[str, Any]			):
													pass  # TODO add if relevant


						def   _lowerCamelCase			( self						:  List[Any]			):
													pass  # TODO add if relevant


						def   _lowerCamelCase			( self						:  Optional[int]			):
													a__:       int											=self.get_tokenizer()

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

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

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


						@slow
						def   _lowerCamelCase			( self						:  Tuple			):
													a__:       Union[str, Any]											=self.tokenizer_class.from_pretrained("abeja/gpt-neox-japanese-2.7b"			)

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

													a__:       Union[str, Any]											=tokenizer.build_inputs_with_special_tokens(_a			)
													a__:       Tuple											=tokenizer.build_inputs_with_special_tokens(_a      ,       _a			)

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


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







						def   _lowerCamelCase			( self						:  List[str]			):
													# tokenizer has no padding token
													pass











from ...utils import is_transformers_available
from .pipeline_latent_diffusion_superresolution import LDMSuperResolutionPipeline


if is_transformers_available():
		from .pipeline_latent_diffusion import LDMBertModel, LDMTextToImagePipeline





