



"""simple docstring"""
import unittest
from dataclasses import dataclass
from typing import List, Union

import numpy as np
import PIL.Image

from diffusers.utils.outputs import BaseOutput
@dataclass
class 							lowerCamelCase    (     _lowerCAmelCase							):






					'''simple docstring'''





					_A						:     Union[List[PIL.Image.Image], np.ndarray]

class 							lowerCamelCase    (     unittest.TestCase							):






					'''simple docstring'''





					def   lowerCAmelCase_							(			self:				Any		)  ->      Optional[Any]:
											snake_case_					:int		=     CustomOutput(images=np.random.rand(1		,	3		,	4		,	4		)		)

											# check every way of getting the attribute
											assert isinstance(outputs.images		,	np.ndarray		)
											assert outputs.images.shape == (1, 3, 4, 4)
											assert isinstance(outputs["""images"""]		,	np.ndarray		)
											assert outputs["images"].shape == (1, 3, 4, 4)
											assert isinstance(outputs[0]		,	np.ndarray		)
											assert outputs[0].shape == (1, 3, 4, 4)

											# test with a non-tensor attribute
											snake_case_					:Tuple		=     CustomOutput(images=[PIL.Image.new("""RGB"""		,	(4, 4)		)]		)

											# check every way of getting the attribute
											assert isinstance(outputs.images		,	snake_case		)
											assert isinstance(outputs.images[0]		,	PIL.Image.Image		)
											assert isinstance(outputs["""images"""]		,	snake_case		)
											assert isinstance(outputs["""images"""][0]		,	PIL.Image.Image		)
											assert isinstance(outputs[0]		,	snake_case		)
											assert isinstance(outputs[0][0]		,	PIL.Image.Image		)






					def   lowerCAmelCase_							(			self:				str		)  ->      Union[str, Any]:
											# test output reinitialization with a `dict` for compatibility with `accelerate`
											snake_case_					:Tuple		=     CustomOutput({"""images""": np.random.rand(1		,	3		,	4		,	4		)}		)

											# check every way of getting the attribute
											assert isinstance(outputs.images		,	np.ndarray		)
											assert outputs.images.shape == (1, 3, 4, 4)
											assert isinstance(outputs["""images"""]		,	np.ndarray		)
											assert outputs["images"].shape == (1, 3, 4, 4)
											assert isinstance(outputs[0]		,	np.ndarray		)
											assert outputs[0].shape == (1, 3, 4, 4)

											# test with a non-tensor attribute
											snake_case_					:str		=     CustomOutput({"""images""": [PIL.Image.new("""RGB"""		,	(4, 4)		)]}		)

											# check every way of getting the attribute
											assert isinstance(outputs.images		,	snake_case		)
											assert isinstance(outputs.images[0]		,	PIL.Image.Image		)
											assert isinstance(outputs["""images"""]		,	snake_case		)
											assert isinstance(outputs["""images"""][0]		,	PIL.Image.Image		)
											assert isinstance(outputs[0]		,	snake_case		)
											assert isinstance(outputs[0][0]		,	PIL.Image.Image		)





"""simple docstring"""
from transformers.models.cpm.tokenization_cpm import CpmTokenizer
from transformers.testing_utils import custom_tokenizers

from ..xlnet.test_modeling_xlnet import XLNetModelTest
@custom_tokenizers
class 							lowerCamelCase    (     _lowerCAmelCase							):






					'''simple docstring'''





					def   lowerCAmelCase_							(			self:				Optional[int]		,	snake_case:				Optional[Any]		,	snake_case:				Optional[Any]		,	snake_case:				Tuple		,	snake_case:				int		,	snake_case:				Optional[Any]		)  ->      int:
											return True






					def   lowerCAmelCase_							(			self:				Tuple		)  ->      Optional[int]:
											snake_case_					:Dict		=     CpmTokenizer.from_pretrained("""TsinghuaAI/CPM-Generate"""		)
											snake_case_					:Any		=     """Hugging Face大法好，谁用谁知道。"""
											snake_case_					:Union[str, Any]		=     """Hugging Face大法好,谁用谁知道。<unk>"""
											snake_case_					:Dict		=     """▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。""".split()

											snake_case_					:str		=     tokenizer.tokenize(snake_case		)
											self.assertListEqual(snake_case		,	snake_case		)

											snake_case_					:List[Any]		=     tokens + [tokenizer.unk_token]

											snake_case_					:Optional[Any]		=     [13_789, 13_283, 1_421, 8, 10, 1_164, 13_608, 16_528, 63, 8, 9, 440, 108, 440, 121, 90, 8, 12, 0]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case		)		,	snake_case		)

											snake_case_					:int		=     tokenizer.decode(snake_case		)
											self.assertEqual(snake_case		,	snake_case		)
