



"""simple docstring"""
import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class     lowerCamelCase  (      _lowerCAmelCase   ,						unittest.TestCase    ):






					'''simple docstring'''





					_A		:      int						=					BertweetTokenizer
					_A		:      Tuple						=					False






					def        lowerCAmelCase_    (	self:							int						)       ->     Optional[int]:
											super().setUp()

											# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
											snake_case_			:Union[str, Any]						=      ["""I""", """m""", """V@@""", """R@@""", """r""", """e@@"""]
											snake_case_			:Optional[Any]						=      dict(zip(snake_case						,					range(len(snake_case						)						)						)						)
											snake_case_			:Optional[int]						=      ["""#version: 0.2""", """a m</w>"""]
											snake_case_			:List[Any]						=      {"""unk_token""": """<unk>"""}

											snake_case_			:Optional[Any]						=      os.path.join(self.tmpdirname						,					VOCAB_FILES_NAMES["""vocab_file"""]						)
											snake_case_			:List[str]						=      os.path.join(self.tmpdirname						,					VOCAB_FILES_NAMES["""merges_file"""]						)
											with open(self.vocab_file						,					"""w"""						,					encoding="""utf-8"""						) as fp:
																	for token in vocab_tokens:
																							fp.write(f"""{token} {vocab_tokens[token]}\n"""						)
											with open(self.merges_file						,					"""w"""						,					encoding="""utf-8"""						) as fp:
																	fp.write("""\n""".join(snake_case						)						)






					def        lowerCAmelCase_    (	self:							Tuple						,					**snake_case:							str						)       ->     Dict:
											kwargs.update(self.special_tokens_map						)
											return BertweetTokenizer.from_pretrained(self.tmpdirname						,					**snake_case						)






					def        lowerCAmelCase_    (	self:							List[str]						,					snake_case:							int						)       ->     Optional[Any]:
											snake_case_			:Any						=      """I am VinAI Research"""
											snake_case_			:Any						=      """I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"""
											return input_text, output_text






					def        lowerCAmelCase_    (	self:							int						)       ->     str:
											snake_case_			:List[Any]						=      BertweetTokenizer(self.vocab_file						,					self.merges_file						,					**self.special_tokens_map						)
											snake_case_			:Dict						=      """I am VinAI Research"""
											snake_case_			:Optional[int]						=      """I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h""".split()
											snake_case_			:Union[str, Any]						=      tokenizer.tokenize(snake_case						)
											self.assertListEqual(snake_case						,					snake_case						)

											snake_case_			:str						=      tokens + [tokenizer.unk_token]

											snake_case_			:Optional[int]						=      [4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case						)						,					snake_case						)





"""simple docstring"""
import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils
class     lowerCamelCase  (      unittest.TestCase    ):






					'''simple docstring'''





					@patch("""diffusers.utils.hub_utils.get_full_repo_name"""						)
					def        lowerCAmelCase_    (	self:							int						,					snake_case:							Mock						)       ->     None:
											snake_case_			:str						=      """full_repo_name"""
											with TemporaryDirectory() as tmpdir:
																	# Dummy args values
																	snake_case_			:int						=      Mock()
																	snake_case_			:Any						=      tmpdir
																	snake_case_			:int						=      0
																	snake_case_			:Optional[int]						=      """hub_token"""
																	snake_case_			:str						=      """dataset_name"""
																	snake_case_			:List[str]						=      0.0_1
																	snake_case_			:Dict						=      100_000
																	snake_case_			:Optional[Any]						=      10_000
																	snake_case_			:Optional[Any]						=      0.0_1
																	snake_case_			:Dict						=      0.0_2
																	snake_case_			:Dict						=      0.0_3
																	snake_case_			:Union[str, Any]						=      0.0_0_0_5
																	snake_case_			:Optional[Any]						=      0.0_0_0_0_0_1
																	snake_case_			:List[Any]						=      1
																	snake_case_			:Optional[Any]						=      10
																	snake_case_			:Dict						=      0.0_0_1
																	snake_case_			:Any						=      0.1
																	snake_case_			:List[Any]						=      0.2
																	snake_case_			:Any						=      True

																	# Model card mush be rendered and saved
																	diffusers.utils.hub_utils.create_model_card(snake_case						,					model_name="""model_name"""						)
																	self.assertTrue((Path(snake_case						) / """README.md""").is_file()						)
