
"""simple docstring"""
import copy
import inspect

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




@require_torch
class   lowercase__							:
   __UpperCAmelCase       					=				()
   __UpperCAmelCase       					=				True





   def 		UpperCamelCase_     (       self)     ->     Tuple:
      _lowerCamelCase  :				Tuple      =		self.config_class

      # test default config
      _lowerCamelCase  :				Tuple      =		config_class()
      self.assertIsNotNone(SCREAMING_SNAKE_CASE)
      _lowerCamelCase  :				int      =		["""stem"""] + [F'stage{idx}' for idx in range(1			,      len(config.depths) + 1)]
      self.assertEqual(config.stage_names			,      SCREAMING_SNAKE_CASE)
      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
      _lowerCamelCase  :				Optional[Any]      =		config_class(out_features=SCREAMING_SNAKE_CASE			,      out_indices=SCREAMING_SNAKE_CASE)
      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
      _lowerCamelCase  :				Union[str, Any]      =		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
      _lowerCamelCase  :				Union[str, Any]      =		config_class(out_features=["""stage1""", """stage3"""])
      self.assertEqual(config.out_features			,      ["""stage1""", """stage3"""])
      self.assertEqual(config.out_indices			,      [1, 3])

      # Only out_indices set
      _lowerCamelCase  :				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(SCREAMING_SNAKE_CASE):
         _lowerCamelCase  :				Optional[Any]      =		config_class(out_features=["""stage1""", """stage2"""]			,      out_indices=[0, 2])





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

      for model_class in self.all_model_classes:
         _lowerCamelCase  :				int      =		model_class(SCREAMING_SNAKE_CASE)
         _lowerCamelCase  :				str      =		inspect.signature(model.forward)
         # signature.parameters is an OrderedDict => so arg_names order is deterministic
         _lowerCamelCase  :				int      =		[*signature.parameters.keys()]
         _lowerCamelCase  :				str      =		["""pixel_values"""]
         self.assertListEqual(arg_names[:1]			,      SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_     (       self)     ->     List[Any]:
      _lowerCamelCase      ,						_lowerCamelCase  :				str      =		self.model_tester.prepare_config_and_inputs_for_common()

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

         _lowerCamelCase  :				List[str]      =		copy.deepcopy(SCREAMING_SNAKE_CASE)
         _lowerCamelCase  :				Optional[int]      =		None
         _lowerCamelCase  :				Tuple      =		model_class(SCREAMING_SNAKE_CASE)
         self.assertEqual(len(model.channels)			,      1)
         self.assertListEqual(model.channels			,      [num_features[-1]])

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





   def 		UpperCamelCase_     (       self)     ->     Tuple:
      _lowerCamelCase      ,						_lowerCamelCase  :				Union[str, Any]      =		self.model_tester.prepare_config_and_inputs_for_common()

      for model_class in self.all_model_classes:
         _lowerCamelCase  :				Optional[int]      =		model_class(SCREAMING_SNAKE_CASE)
         model.to(SCREAMING_SNAKE_CASE)
         model.eval()
         _lowerCamelCase  :				Optional[int]      =		model(**SCREAMING_SNAKE_CASE)

         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
         _lowerCamelCase  :				int      =		copy.deepcopy(SCREAMING_SNAKE_CASE)
         _lowerCamelCase  :				List[Any]      =		None
         _lowerCamelCase  :				Tuple      =		model_class(SCREAMING_SNAKE_CASE)
         model.to(SCREAMING_SNAKE_CASE)
         model.eval()
         _lowerCamelCase  :				List[str]      =		model(**SCREAMING_SNAKE_CASE)

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

         _lowerCamelCase  :				Tuple      =		copy.deepcopy(SCREAMING_SNAKE_CASE)
         _lowerCamelCase  :				Optional[int]      =		None
         _lowerCamelCase  :				Optional[int]      =		model_class(SCREAMING_SNAKE_CASE)
         model.to(SCREAMING_SNAKE_CASE)
         model.eval()
         _lowerCamelCase  :				Dict      =		model(**SCREAMING_SNAKE_CASE)

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

         # Check backbone can be initialized with fresh weights
         _lowerCamelCase  :				Dict      =		copy.deepcopy(SCREAMING_SNAKE_CASE)
         _lowerCamelCase  :				Tuple      =		False
         _lowerCamelCase  :				Dict      =		model_class(SCREAMING_SNAKE_CASE)
         model.to(SCREAMING_SNAKE_CASE)
         model.eval()
         _lowerCamelCase  :				str      =		model(**SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_     (       self)     ->     Optional[int]:
      _lowerCamelCase      ,						_lowerCamelCase  :				Optional[int]      =		self.model_tester.prepare_config_and_inputs_for_common()

      for backbone_class in self.all_model_classes:
         _lowerCamelCase  :				Optional[int]      =		backbone_class(SCREAMING_SNAKE_CASE)

         self.assertTrue(hasattr(SCREAMING_SNAKE_CASE			,      """backbone_type"""))
         self.assertTrue(hasattr(SCREAMING_SNAKE_CASE			,      """stage_names"""))
         self.assertTrue(hasattr(SCREAMING_SNAKE_CASE			,      """num_features"""))
         self.assertTrue(hasattr(SCREAMING_SNAKE_CASE			,      """out_indices"""))
         self.assertTrue(hasattr(SCREAMING_SNAKE_CASE			,      """out_features"""))
         self.assertTrue(hasattr(SCREAMING_SNAKE_CASE			,      """out_feature_channels"""))
         self.assertTrue(hasattr(SCREAMING_SNAKE_CASE			,      """channels"""))

         self.assertIsInstance(backbone.backbone_type			,      SCREAMING_SNAKE_CASE)
         # 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 		UpperCamelCase_     (       self)     ->     int:
      _lowerCamelCase      ,						_lowerCamelCase  :				List[str]      =		self.model_tester.prepare_config_and_inputs_for_common()
      _lowerCamelCase  :				int      =		inputs_dict["""pixel_values"""].shape[0]

      for backbone_class in self.all_model_classes:
         _lowerCamelCase  :				str      =		backbone_class(SCREAMING_SNAKE_CASE)
         backbone.to(SCREAMING_SNAKE_CASE)
         backbone.eval()

         _lowerCamelCase  :				int      =		backbone(**SCREAMING_SNAKE_CASE)

         # Test default outputs and verify feature maps
         self.assertIsInstance(outputs.feature_maps			,      SCREAMING_SNAKE_CASE)
         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
         _lowerCamelCase  :				List[Any]      =		backbone(**SCREAMING_SNAKE_CASE			,      output_hidden_states=SCREAMING_SNAKE_CASE)
         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:
            _lowerCamelCase  :				int      =		backbone(**SCREAMING_SNAKE_CASE			,      output_attentions=SCREAMING_SNAKE_CASE)
            self.assertIsNotNone(outputs.attentions)





"""simple docstring"""
def 							_snake_case			(      __snake_case       :			str	,   __snake_case       :			str	,   __snake_case       :			int	,   __snake_case       :			int	,   __snake_case       :			int	,   __snake_case       :			int	,   ):




   """simple docstring"""







   _lowerCamelCase  :				Optional[Any]      =		list(__snake_case      )
   _lowerCamelCase  :				Optional[int]      =		list(__snake_case      )
   _lowerCamelCase  :				Union[str, Any]      =		len(__snake_case      )
   _lowerCamelCase  :				Optional[int]      =		len(__snake_case      )

   _lowerCamelCase  :				List[str]      =		[
       [0 for _ in range(len_destination_seq + 1      )] for _ in range(len_source_seq + 1      )
   ]
   _lowerCamelCase  :				List[Any]      =		[
       ["""0""" for _ in range(len_destination_seq + 1      )] for _ in range(len_source_seq + 1      )
   ]

   for i in range(1	,   len_source_seq + 1      ):
      _lowerCamelCase  :				Optional[Any]      =		i * delete_cost
      _lowerCamelCase  :				Any      =		F'D{source_seq[i - 1]:c}'

   for i in range(1	,   len_destination_seq + 1      ):
      _lowerCamelCase  :				Dict      =		i * insert_cost
      _lowerCamelCase  :				List[str]      =		F'I{destination_seq[i - 1]:c}'

   for i in range(1	,   len_source_seq + 1      ):
      for j in range(1	,   len_destination_seq + 1      ):
         if source_seq[i - 1] == destination_seq[j - 1]:
            _lowerCamelCase  :				Union[str, Any]      =		costs[i - 1][j - 1] + copy_cost
            _lowerCamelCase  :				Tuple      =		F'C{source_seq[i - 1]:c}'
         else:
            _lowerCamelCase  :				Tuple      =		costs[i - 1][j - 1] + replace_cost
            _lowerCamelCase  :				List[str]      =		F'R{source_seq[i - 1]:c}' + str(destination_seq[j - 1]      )

         if costs[i - 1][j] + delete_cost < costs[i][j]:
            _lowerCamelCase  :				Any      =		costs[i - 1][j] + delete_cost
            _lowerCamelCase  :				Any      =		F'D{source_seq[i - 1]:c}'

         if costs[i][j - 1] + insert_cost < costs[i][j]:
            _lowerCamelCase  :				Dict      =		costs[i][j - 1] + insert_cost
            _lowerCamelCase  :				Union[str, Any]      =		F'I{destination_seq[j - 1]:c}'

   return costs, ops

def 							_snake_case			(      __snake_case       :			list[list[str]]	,   __snake_case       :			int	,   __snake_case       :			int      ):




   """simple docstring"""







   if i == 0 and j == 0:
      return []
   else:
      if ops[i][j][0] == "C" or ops[i][j][0] == "R":
         _lowerCamelCase  :				List[Any]      =		assemble_transformation(__snake_case	,   i - 1	,   j - 1      )
         seq.append(ops[i][j]      )
         return seq
      elif ops[i][j][0] == "D":
         _lowerCamelCase  :				Optional[Any]      =		assemble_transformation(__snake_case	,   i - 1	,   __snake_case      )
         seq.append(ops[i][j]      )
         return seq
      else:
         _lowerCamelCase  :				str      =		assemble_transformation(__snake_case	,   __snake_case	,   j - 1      )
         seq.append(ops[i][j]      )
         return seq


if __name__ == "__main__":
 UpperCAmelCase ,     UpperCAmelCase   =	compute_transform_tables("""Python""", """Algorithms""", -1, 1, 2, 2)

 UpperCAmelCase   =	len(operations)
 UpperCAmelCase   =	len(operations[0])
 UpperCAmelCase   =	assemble_transformation(operations, m - 1, n - 1)

 UpperCAmelCase   =	list("""Python""")
 UpperCAmelCase   =	0
 UpperCAmelCase   =	0

 with open("""min_cost.txt""", """w""") as file:
  for op in sequence:
   print("""""".join(string))

   if op[0] == "C":
    file.write("""%-16s""" % """Copy %c""" % op[1])
    file.write("""\t\t\t""" + """""".join(string))
    file.write("""\r\n""")

    cost -= 1
   elif op[0] == "R":
    UpperCAmelCase   =	op[2]

    file.write("""%-16s""" % ("""Replace %c""" % op[1] + """ with """ + str(op[2])))
    file.write("""\t\t""" + """""".join(string))
    file.write("""\r\n""")

    cost += 1
   elif op[0] == "D":
    string.pop(i)

    file.write("""%-16s""" % """Delete %c""" % op[1])
    file.write("""\t\t\t""" + """""".join(string))
    file.write("""\r\n""")

    cost += 2
   else:
    string.insert(i, op[1])

    file.write("""%-16s""" % """Insert %c""" % op[1])
    file.write("""\t\t\t""" + """""".join(string))
    file.write("""\r\n""")

    cost += 2

   i += 1

  print("""""".join(string))
  print("""Cost: """, cost)

  file.write("""\r\nMinimum cost: """ + str(cost))

