



import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin



class       UpperCAmelCase__(							unittest.TestCase     ,							lowerCamelCase	):

   '''simple docstring'''




   def 			UpperCAmelCase		(						self  :			List[str])	->				Any:




         """simple docstring"""

         lowercase__     =  load_tool('text-classification')
         self.tool.setup()
         lowercase__     =  load_tool('text-classification'			,				remote=lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			Any)	->				Tuple:




         """simple docstring"""

         lowercase__     =  self.tool('That\'s quite cool'			,				['positive', 'negative'])
         self.assertEqual(lowerCAmelCase			,				'positive')


   def 			UpperCAmelCase		(						self  :			int)	->				Optional[int]:




         """simple docstring"""

         lowercase__     =  self.remote_tool('That\'s quite cool'			,				['positive', 'negative'])
         self.assertEqual(lowerCAmelCase			,				'positive')


   def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Union[str, Any]:




         """simple docstring"""

         lowercase__     =  self.tool(text='That\'s quite cool'			,				labels=['positive', 'negative'])
         self.assertEqual(lowerCAmelCase			,				'positive')



   def 			UpperCAmelCase		(						self  :			Any)	->				Any:




         """simple docstring"""

         lowercase__     =  self.remote_tool(text='That\'s quite cool'			,				labels=['positive', 'negative'])
         self.assertEqual(lowerCAmelCase			,				'positive')





from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


a__      :				List[str]   	=			logging.get_logger(__name__)

a__      :				List[Any]   	=			{
    "microsoft/focalnet-tiny": "https://huggingface.co/microsoft/focalnet-tiny/resolve/main/config.json",
}



class       UpperCAmelCase__(							lowerCamelCase     ,							lowerCamelCase	):

   '''simple docstring'''




   A    :  List[str]       				=    "focalnet"


   def __init__(						self  :			Dict			,				lowerCAmelCase  :			Union[str, Any]=2_24			,				lowerCAmelCase  :			List[str]=4			,				lowerCAmelCase  :			int=3			,				lowerCAmelCase  :			Union[str, Any]=96			,				lowerCAmelCase  :			List[Any]=False			,				lowerCAmelCase  :			int=[1_92, 3_84, 7_68, 7_68]			,				lowerCAmelCase  :			str=[2, 2, 6, 2]			,				lowerCAmelCase  :			Tuple=[2, 2, 2, 2]			,				lowerCAmelCase  :			Optional[Any]=[3, 3, 3, 3]			,				lowerCAmelCase  :			int="gelu"			,				lowerCAmelCase  :			Any=4.0			,				lowerCAmelCase  :			List[str]=0.0			,				lowerCAmelCase  :			Union[str, Any]=0.1			,				lowerCAmelCase  :			Union[str, Any]=False			,				lowerCAmelCase  :			Tuple=1E-4			,				lowerCAmelCase  :			List[Any]=False			,				lowerCAmelCase  :			Optional[int]=False			,				lowerCAmelCase  :			List[str]=False			,				lowerCAmelCase  :			str=0.02			,				lowerCAmelCase  :			Optional[int]=1E-5			,				lowerCAmelCase  :			List[Any]=32			,				lowerCAmelCase  :			List[Any]=None			,				lowerCAmelCase  :			Union[str, Any]=None			,				**lowerCAmelCase  :			str			,				)	->				List[str]:




         """simple docstring"""

         super().__init__(**lowerCAmelCase)

         lowercase__     =  image_size
         lowercase__     =  patch_size
         lowercase__     =  num_channels
         lowercase__     =  embed_dim
         lowercase__     =  use_conv_embed
         lowercase__     =  hidden_sizes
         lowercase__     =  depths
         lowercase__     =  focal_levels
         lowercase__     =  focal_windows
         lowercase__     =  hidden_act
         lowercase__     =  mlp_ratio
         lowercase__     =  hidden_dropout_prob
         lowercase__     =  drop_path_rate
         lowercase__     =  use_layerscale
         lowercase__     =  layerscale_value
         lowercase__     =  use_post_layernorm
         lowercase__     =  use_post_layernorm_in_modulation
         lowercase__     =  normalize_modulator
         lowercase__     =  initializer_range
         lowercase__     =  layer_norm_eps
         lowercase__     =  encoder_stride
         lowercase__     =  ['stem'] + [f'''stage{idx}''' for idx in range(1			,				len(self.depths) + 1)]
         lowercase__,	lowercase__     =  get_aligned_output_features_output_indices(
             out_features=lowerCAmelCase			,				out_indices=lowerCAmelCase			,				stage_names=self.stage_names)
