




'''simple docstring'''




from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCamelCase   :					Optional[Any]   							=					logging.get_logger(__name__)

__lowerCamelCase   :					Any   							=					{
    '''caidas/swin2sr-classicalsr-x2-64''': (
        '''https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolve/main/config.json'''
    ),
}







class    A_	(a_							):
							"""simple docstring"""




							a__   		=	'''swin2sr'''

							a__   		=	{
							    '''hidden_size''': '''embed_dim''',
							    '''num_attention_heads''': '''num_heads''',
							    '''num_hidden_layers''': '''num_layers''',
							}

							def __init__(		self			:List[Any]       ,							lowerCAmelCase__			:Dict=64       ,							lowerCAmelCase__			:List[Any]=1       ,							lowerCAmelCase__			:Optional[int]=3       ,							lowerCAmelCase__			:List[str]=180       ,							lowerCAmelCase__			:Dict=[6, 6, 6, 6, 6, 6]       ,							lowerCAmelCase__			:Optional[int]=[6, 6, 6, 6, 6, 6]       ,							lowerCAmelCase__			:List[str]=8       ,							lowerCAmelCase__			:Dict=2.0       ,							lowerCAmelCase__			:Optional[Any]=True       ,							lowerCAmelCase__			:str=0.0       ,							lowerCAmelCase__			:int=0.0       ,							lowerCAmelCase__			:Optional[Any]=0.1       ,							lowerCAmelCase__			:Union[str, Any]="gelu"       ,							lowerCAmelCase__			:Any=False       ,							lowerCAmelCase__			:List[str]=0.0_2       ,							lowerCAmelCase__			:Union[str, Any]=1E-5       ,							lowerCAmelCase__			:Optional[int]=2       ,							lowerCAmelCase__			:Tuple=1.0       ,							lowerCAmelCase__			:List[Any]="1conv"       ,							lowerCAmelCase__			:Optional[Any]="pixelshuffle"       ,							**lowerCAmelCase__			:Any       ,							)				->  Tuple:


										'''simple docstring'''




										super().__init__(**lowerCAmelCase__				)

										snake_case_				:					Tuple   =       image_size
										snake_case_				:					List[Any]   =       patch_size
										snake_case_				:					int   =       num_channels
										snake_case_				:					Tuple   =       embed_dim
										snake_case_				:					Any   =       depths
										snake_case_				:					List[str]   =       len(lowerCAmelCase__				)
										snake_case_				:					Tuple   =       num_heads
										snake_case_				:					int   =       window_size
										snake_case_				:					List[str]   =       mlp_ratio
										snake_case_				:					Optional[Any]   =       qkv_bias
										snake_case_				:					Optional[int]   =       hidden_dropout_prob
										snake_case_				:					List[str]   =       attention_probs_dropout_prob
										snake_case_				:					Optional[Any]   =       drop_path_rate
										snake_case_				:					Union[str, Any]   =       hidden_act
										snake_case_				:					List[str]   =       use_absolute_embeddings
										snake_case_				:					List[str]   =       layer_norm_eps
										snake_case_				:					Optional[int]   =       initializer_range
										snake_case_				:					Optional[int]   =       upscale
										snake_case_				:					str   =       img_range
										snake_case_				:					Any   =       resi_connection
										snake_case_				:					Any   =       upsampler












'''simple docstring'''




from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters

def 	__UpperCAmelCase       ( )->    int:



			"""simple docstring"""



			snake_case_				:					Any   =       {
			    "repo_name": ["test_repo1", "test_repo2", "test_repo3"],
			    "path": ["test_1.py", "test_2.py", "unit_test.py"],
			    "content": ["a " * 20, "a " * 30, "b " * 7],
			}
			snake_case_				:					int   =       Dataset.from_dict(__magic_name__						)
			return dataset







class    A_	(a_							):
							"""simple docstring"""




							def 							_A	(		self			:List[str]				)				->  str:


										'''simple docstring'''




										snake_case_				:					Union[str, Any]   =       get_dataset()
										snake_case_				:					Optional[int]   =       make_duplicate_clusters(lowerCAmelCase__       ,							0.8_5				)
										self.assertEqual(len(duplicate_clusters[0]				)       ,							2				)






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


										'''simple docstring'''




										snake_case_				:					Optional[int]   =       get_dataset()
										snake_case_,	snake_case_				:					List[Any]   =       deduplicate_dataset(lowerCAmelCase__				)
										self.assertEqual(len(lowerCAmelCase__				)       ,							2				)
										print(lowerCAmelCase__				)
										self.assertEqual(duplicate_clusters[0][0]["copies"]       ,							2				)
										self.assertEqual(duplicate_clusters[0][0]["is_extreme"]       ,							lowerCAmelCase__				)




