




import copy
import inspect

from transformers.testing_utils import require_torch, torch_device
from transformers.utils.backbone_utils import BackboneType

@require_torch
class   UpperCAmelCase    :
   __SCREAMING_SNAKE_CASE		:				int      					=       ()
   __SCREAMING_SNAKE_CASE		:				List[Any]      					=       True






   def 			_a    (						self :							str  )->      str:
     _lowercase:			Optional[Any]      =     self.config_class

     # test default config
     _lowercase:			Optional[Any]      =     config_class()
     self.assertIsNotNone(UpperCamelCase_  )
     _lowercase:			Optional[Any]      =     ['stem'] + [f'stage{idx}' for idx in range(1    ,       len(config.depths  ) + 1  )]
     self.assertEqual(config.stage_names    ,       UpperCamelCase_  )
     self.assertTrue(set(config.out_features  ).issubset(set(config.stage_names  )  )  )

     # Test out_features and out_indices are correctly set
     # out_features and out_indices both None
     _lowercase:			Optional[int]      =     config_class(out_features=UpperCamelCase_    ,       out_indices=UpperCamelCase_  )
     self.assertEqual(config.out_features    ,       [config.stage_names[-1]]  )
     self.assertEqual(config.out_indices    ,       [len(config.stage_names  ) - 1]  )

     # out_features and out_indices both set
     _lowercase:			str      =     config_class(out_features=['stem', 'stage1']    ,       out_indices=[0, 1]  )
     self.assertEqual(config.out_features    ,       ['stem', 'stage1']  )
     self.assertEqual(config.out_indices    ,       [0, 1]  )

     # Only out_features set
     _lowercase:			Tuple      =     config_class(out_features=['stage1', 'stage3']  )
     self.assertEqual(config.out_features    ,       ['stage1', 'stage3']  )
     self.assertEqual(config.out_indices    ,       [1, 3]  )

     # Only out_indices set
     _lowercase:			Optional[Any]      =     config_class(out_indices=[0, 2]  )
     self.assertEqual(config.out_features    ,       [config.stage_names[0], config.stage_names[2]]  )
     self.assertEqual(config.out_indices    ,       [0, 2]  )

     # Error raised when out_indices do not correspond to out_features
     with self.assertRaises(UpperCamelCase_  ):
       _lowercase:			Optional[int]      =     config_class(out_features=['stage1', 'stage2']    ,       out_indices=[0, 2]  )






   def 			_a    (						self :							Optional[Any]  )->      Optional[int]:
     _lowercase  ,       _lowercase:			Any      =     self.model_tester.prepare_config_and_inputs_for_common()

     for model_class in self.all_model_classes:
       _lowercase:			List[Any]      =     model_class(UpperCamelCase_  )
       _lowercase:			str      =     inspect.signature(model.forward  )
       # signature.parameters is an OrderedDict => so arg_names order is deterministic
       _lowercase:			Optional[int]      =     [*signature.parameters.keys()]
       _lowercase:			Union[str, Any]      =     ['pixel_values']
       self.assertListEqual(arg_names[:1]    ,       UpperCamelCase_  )






   def 			_a    (						self :							List[str]  )->      Any:
     _lowercase  ,       _lowercase:			int      =     self.model_tester.prepare_config_and_inputs_for_common()

     for model_class in self.all_model_classes:
       _lowercase:			List[str]      =     model_class(UpperCamelCase_  )
       self.assertEqual(len(model.channels  )    ,       len(config.out_features  )  )
       _lowercase:			Optional[int]      =     model.num_features
       _lowercase:			str      =     [config.stage_names.index(UpperCamelCase_  ) for feat in config.out_features]
       _lowercase:			Any      =     [num_features[idx] for idx in out_indices]
       self.assertListEqual(model.channels    ,       UpperCamelCase_  )

       _lowercase:			List[Any]      =     copy.deepcopy(UpperCamelCase_  )
       _lowercase:			Any      =     None
       _lowercase:			List[str]      =     model_class(UpperCamelCase_  )
       self.assertEqual(len(model.channels  )    ,       1  )
       self.assertListEqual(model.channels    ,       [num_features[-1]]  )

       _lowercase:			Union[str, Any]      =     copy.deepcopy(UpperCamelCase_  )
       _lowercase:			Any      =     None
       _lowercase:			List[str]      =     model_class(UpperCamelCase_  )
       self.assertEqual(len(model.channels  )    ,       1  )
       self.assertListEqual(model.channels    ,       [num_features[-1]]  )






   def 			_a    (						self :							Union[str, Any]  )->      Union[str, Any]:
     _lowercase  ,       _lowercase:			List[Any]      =     self.model_tester.prepare_config_and_inputs_for_common()

     for model_class in self.all_model_classes:
       _lowercase:			Tuple      =     model_class(UpperCamelCase_  )
       model.to(UpperCamelCase_  )
       model.eval()
       _lowercase:			List[str]      =     model(**UpperCamelCase_  )

       self.assertEqual(len(result.feature_maps  )    ,       len(config.out_features  )  )
       self.assertEqual(len(model.channels  )    ,       len(config.out_features  )  )
       self.assertEqual(len(result.feature_maps  )    ,       len(config.out_indices  )  )
       self.assertEqual(len(model.channels  )    ,       len(config.out_indices  )  )

       # Check output of last stage is taken if out_features=None, out_indices=None
       _lowercase:			Dict      =     copy.deepcopy(UpperCamelCase_  )
       _lowercase:			Union[str, Any]      =     None
       _lowercase:			int      =     model_class(UpperCamelCase_  )
       model.to(UpperCamelCase_  )
       model.eval()
       _lowercase:			Optional[int]      =     model(**UpperCamelCase_  )

       self.assertEqual(len(result.feature_maps  )    ,       1  )
       self.assertEqual(len(model.channels  )    ,       1  )

       _lowercase:			List[Any]      =     copy.deepcopy(UpperCamelCase_  )
       _lowercase:			Tuple      =     None
       _lowercase:			List[Any]      =     model_class(UpperCamelCase_  )
       model.to(UpperCamelCase_  )
       model.eval()
       _lowercase:			Optional[int]      =     model(**UpperCamelCase_  )

       self.assertEqual(len(result.feature_maps  )    ,       1  )
       self.assertEqual(len(model.channels  )    ,       1  )

       # Check backbone can be initialized with fresh weights
       _lowercase:			List[Any]      =     copy.deepcopy(UpperCamelCase_  )
       _lowercase:			Dict      =     False
       _lowercase:			Tuple      =     model_class(UpperCamelCase_  )
       model.to(UpperCamelCase_  )
       model.eval()
       _lowercase:			Tuple      =     model(**UpperCamelCase_  )






   def 			_a    (						self :							Optional[Any]  )->      Any:
     _lowercase  ,       _lowercase:			Dict      =     self.model_tester.prepare_config_and_inputs_for_common()

     for backbone_class in self.all_model_classes:
       _lowercase:			Optional[Any]      =     backbone_class(UpperCamelCase_  )

       self.assertTrue(hasattr(UpperCamelCase_    ,       'backbone_type'  )  )
       self.assertTrue(hasattr(UpperCamelCase_    ,       'stage_names'  )  )
       self.assertTrue(hasattr(UpperCamelCase_    ,       'num_features'  )  )
       self.assertTrue(hasattr(UpperCamelCase_    ,       'out_indices'  )  )
       self.assertTrue(hasattr(UpperCamelCase_    ,       'out_features'  )  )
       self.assertTrue(hasattr(UpperCamelCase_    ,       'out_feature_channels'  )  )
       self.assertTrue(hasattr(UpperCamelCase_    ,       'channels'  )  )

       self.assertIsInstance(backbone.backbone_type    ,       UpperCamelCase_  )
       # Verify num_features has been initialized in the backbone init
       self.assertIsNotNone(backbone.num_features  )
       self.assertTrue(len(backbone.channels  ) == len(backbone.out_indices  )  )
       self.assertTrue(len(backbone.stage_names  ) == len(backbone.num_features  )  )
       self.assertTrue(len(backbone.channels  ) <= len(backbone.num_features  )  )
       self.assertTrue(len(backbone.out_feature_channels  ) == len(backbone.stage_names  )  )






   def 			_a    (						self :							List[str]  )->      List[str]:
     _lowercase  ,       _lowercase:			Dict      =     self.model_tester.prepare_config_and_inputs_for_common()
     _lowercase:			Any      =     inputs_dict['pixel_values'].shape[0]

     for backbone_class in self.all_model_classes:
       _lowercase:			List[str]      =     backbone_class(UpperCamelCase_  )
       backbone.to(UpperCamelCase_  )
       backbone.eval()

       _lowercase:			Union[str, Any]      =     backbone(**UpperCamelCase_  )

       # Test default outputs and verify feature maps
       self.assertIsInstance(outputs.feature_maps    ,       UpperCamelCase_  )
       self.assertTrue(len(outputs.feature_maps  ) == len(backbone.channels  )  )
       for feature_map, n_channels in zip(outputs.feature_maps    ,       backbone.channels  ):
         self.assertTrue(feature_map.shape[:2]    ,       (batch_size, n_channels)  )
       self.assertIsNone(outputs.hidden_states  )
       self.assertIsNone(outputs.attentions  )

       # Test output_hidden_states=True
       _lowercase:			Union[str, Any]      =     backbone(**UpperCamelCase_    ,       output_hidden_states=UpperCamelCase_  )
       self.assertIsNotNone(outputs.hidden_states  )
       self.assertTrue(len(outputs.hidden_states  )    ,       len(backbone.stage_names  )  )
       for hidden_state, n_channels in zip(outputs.hidden_states    ,       backbone.channels  ):
         self.assertTrue(hidden_state.shape[:2]    ,       (batch_size, n_channels)  )

       # Test output_attentions=True
       if self.has_attentions:
         _lowercase:			List[str]      =     backbone(**UpperCamelCase_    ,       output_attentions=UpperCamelCase_  )
         self.assertIsNotNone(outputs.attentions  )






import random
import sys

UpperCAmelCase__    :							str       		=     'ABCDEFGHIJKLMNOPQRSTUVWXYZ'


def 		_lowerCamelCase					(       )      ->		None:





  """simple docstring"""





  _lowercase:			Any      =     input('Enter message: '				)
  _lowercase:			List[str]      =     'LFWOAYUISVKMNXPBDCRJTQEGHZ'
  _lowercase:			Tuple      =     input('Encrypt/Decrypt [e/d]: '				)

  check_valid_key(UpperCamelCase				)

  if resp.lower().startswith('e'				):
    _lowercase:			int      =     'encrypt'
    _lowercase:			Optional[int]      =     encrypt_message(UpperCamelCase       ,  UpperCamelCase				)
  elif resp.lower().startswith('d'				):
    _lowercase:			str      =     'decrypt'
    _lowercase:			Dict      =     decrypt_message(UpperCamelCase       ,  UpperCamelCase				)

  print(F'\n{mode.title()}ion: \n{translated}'				)


def 		_lowerCamelCase					(       UpperCamelCase				)      ->		None:





  """simple docstring"""





  _lowercase:			List[Any]      =     list(UpperCamelCase				)
  _lowercase:			Union[str, Any]      =     list(UpperCamelCase				)
  key_list.sort()
  letters_list.sort()

  if key_list != letters_list:
    sys.exit('Error in the key or symbol set.'				)


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase				)      ->		str:





  """simple docstring"""





  return translate_message(UpperCamelCase       ,  UpperCamelCase       ,  'encrypt'				)


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase				)      ->		str:





  """simple docstring"""





  return translate_message(UpperCamelCase       ,  UpperCamelCase       ,  'decrypt'				)


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase				)      ->		str:





  """simple docstring"""





  _lowercase:			Optional[int]      =     ''
  _lowercase:			Any      =     LETTERS
  _lowercase:			Tuple      =     key

  if mode == "decrypt":
    _lowercase  ,       _lowercase:			Tuple      =     chars_b, chars_a

  for symbol in message:
    if symbol.upper() in chars_a:
      _lowercase:			int      =     chars_a.find(symbol.upper()				)
      if symbol.isupper():
        translated += chars_b[sym_index].upper()
      else:
        translated += chars_b[sym_index].lower()
    else:
      translated += symbol

  return translated


def 		_lowerCamelCase					(       )      ->		str:





  """simple docstring"""





  _lowercase:			Union[str, Any]      =     list(UpperCamelCase				)
  random.shuffle(UpperCamelCase				)
  return "".join(UpperCamelCase				)


if __name__ == "__main__":
   main()
