



"""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 						lowerCAmelCase__	(  _lowerCamelCase       ,       unittest.TestCase   ):


	'''simple docstring'''







	_SCREAMING_SNAKE_CASE  :		Union[str, Any]     	=   GPTNeoXJapaneseTokenizer
	_SCREAMING_SNAKE_CASE  :		List[Any]     	=   False
	_SCREAMING_SNAKE_CASE  :		Optional[Any]     	=   {'''do_clean_text''': False, '''add_prefix_space''': False}





	def  _lowerCAmelCase    (			self							:					Any						)	->  Optional[int]:





					"""simple docstring"""


					super().setUp()

					SCREAMING_SNAKE_CASE	:       Optional[Any] 							=    [
					    '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|>',
					]
					SCREAMING_SNAKE_CASE	:       str 							=    {'emoji': {'\ud83d\ude00': '<|emoji1|>'}, 'emoji_inv': {'<|emoji1|>': '\ud83d\ude00'}}  # 😀
					SCREAMING_SNAKE_CASE	:       Any 							=    {'unk_token': '<unk>'}

					SCREAMING_SNAKE_CASE	:       Any 							=    os.path.join(self.tmpdirname    ,					VOCAB_FILES_NAMES['vocab_file']						)
					SCREAMING_SNAKE_CASE	:       Optional[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(_SCREAMING_SNAKE_CASE						)						)





	def  _lowerCAmelCase    (			self							:					Any    ,					**_SCREAMING_SNAKE_CASE							:					List[Any]						)	->  int:





					"""simple docstring"""


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





	def  _lowerCAmelCase    (			self							:					Union[str, Any]    ,					_SCREAMING_SNAKE_CASE							:					Optional[Any]						)	->  int:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE	:       Any 							=    'こんにちは、世界。 \nこんばんは、㔺界。😀'
					SCREAMING_SNAKE_CASE	:       Union[str, Any] 							=    'こんにちは、世界。 \nこんばんは、世界。😀'
					return input_text, output_text





	def  _lowerCAmelCase    (			self							:					Union[str, Any]    ,					_SCREAMING_SNAKE_CASE							:					Optional[int]						)	->  Tuple:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE							,	SCREAMING_SNAKE_CASE	:       Optional[Any] 							=    self.get_input_output_texts(_SCREAMING_SNAKE_CASE						)
					SCREAMING_SNAKE_CASE	:       Optional[int] 							=    tokenizer.encode(_SCREAMING_SNAKE_CASE    ,					add_special_tokens=_SCREAMING_SNAKE_CASE						)
					SCREAMING_SNAKE_CASE	:       Dict 							=    tokenizer.decode(_SCREAMING_SNAKE_CASE    ,					clean_up_tokenization_spaces=_SCREAMING_SNAKE_CASE						)
					return text, ids





	def  _lowerCAmelCase    (			self							:					Dict						)	->  Any:





					"""simple docstring"""


					pass  # TODO add if relevant





	def  _lowerCAmelCase    (			self							:					Optional[Any]						)	->  str:





					"""simple docstring"""


					pass  # TODO add if relevant





	def  _lowerCAmelCase    (			self							:					Any						)	->  Optional[Any]:





					"""simple docstring"""


					pass  # TODO add if relevant





	def  _lowerCAmelCase    (			self							:					Tuple						)	->  int:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE	:       Tuple 							=    self.get_tokenizer()

					# Testing tokenization
					SCREAMING_SNAKE_CASE	:       Dict 							=    'こんにちは、世界。　こんばんは、㔺界。'
					SCREAMING_SNAKE_CASE	:       Union[str, Any] 							=    ['こん', 'にちは', '、', '世界', '。', '<SP>', 'こん', 'ばんは', '、', '㔺界', '。']
					SCREAMING_SNAKE_CASE	:       Tuple 							=    tokenizer.tokenize(_SCREAMING_SNAKE_CASE						)
					self.assertListEqual(_SCREAMING_SNAKE_CASE    ,					_SCREAMING_SNAKE_CASE						)

					# Testing conversion to ids without special tokens
					SCREAMING_SNAKE_CASE	:       Optional[int] 							=    [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
					SCREAMING_SNAKE_CASE	:       List[str] 							=    tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE						)
					self.assertListEqual(_SCREAMING_SNAKE_CASE    ,					_SCREAMING_SNAKE_CASE						)

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





	@slow
	def  _lowerCAmelCase    (			self							:					Union[str, Any]						)	->  str:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE	:       List[Any] 							=    self.tokenizer_class.from_pretrained('abeja/gpt-neox-japanese-2.7b'						)

					SCREAMING_SNAKE_CASE	:       Union[str, Any] 							=    tokenizer.encode('ありがとう。'    ,					add_special_tokens=_SCREAMING_SNAKE_CASE						)
					SCREAMING_SNAKE_CASE	:       List[str] 							=    tokenizer.encode('どういたしまして。'    ,					add_special_tokens=_SCREAMING_SNAKE_CASE						)

					SCREAMING_SNAKE_CASE	:       int 							=    tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE						)
					SCREAMING_SNAKE_CASE	:       Dict 							=    tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE    ,					_SCREAMING_SNAKE_CASE						)

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





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





					"""simple docstring"""


					pass







	def  _lowerCAmelCase    (			self							:					Optional[int]						)	->  Tuple:





					"""simple docstring"""


					pass










"""simple docstring"""

import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


A_	:						Any				=			logging.get_logger(__name__)
class 						lowerCAmelCase__	(  _lowerCamelCase   ):


	'''simple docstring'''







	def __init__(			self							:					Tuple    ,					*_SCREAMING_SNAKE_CASE							:					Optional[int]    ,					**_SCREAMING_SNAKE_CASE							:					Optional[int]						)	->  None:





					"""simple docstring"""


					warnings.warn(
					    'The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
					    ' Please use ConvNextImageProcessor instead.'    ,					_SCREAMING_SNAKE_CASE    ,					)
					super().__init__(*_SCREAMING_SNAKE_CASE    ,					**_SCREAMING_SNAKE_CASE						)





