



"""simple docstring"""







import copy
from typing import Dict, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


A    =	logging.get_logger(__name__)

A    =	{
    'shi-labs/oneformer_ade20k_swin_tiny': (
        'https://huggingface.co/shi-labs/oneformer_ade20k_swin_tiny/blob/main/config.json'
    ),
    # See all OneFormer models at https://huggingface.co/models?filter=oneformer
}

class 			_a     (   SCREAMING_SNAKE_CASE__):
			__magic_name__    				=    """oneformer"""
			__magic_name__    				=    {"""hidden_size""": """hidden_dim"""}



			def __init__( self       :							Tuple      ,  _lowercase       :							Optional[Dict] = None      ,  _lowercase       :							int = 255      ,  _lowercase       :							int = 150      ,  _lowercase       :							int = 0.1      ,  _lowercase       :							float = 2.0      ,  _lowercase       :							float = 5.0      ,  _lowercase       :							float = 5.0      ,  _lowercase       :							float = 0.5      ,  _lowercase       :							float = 0.07      ,  _lowercase       :							int = 12544      ,  _lowercase       :							float = 3.0      ,  _lowercase       :							float = 0.75      ,  _lowercase       :							float = 0.02      ,  _lowercase       :							float = 1.0      ,  _lowercase       :							float = 1E-05      ,  _lowercase       :							bool = False      ,  _lowercase       :							bool = True      ,  _lowercase       :							bool = True      ,  _lowercase       :							Optional[list] = [4, 8, 16, 32]      ,  _lowercase       :							int = 77      ,  _lowercase       :							int = 256      ,  _lowercase       :							int = 77      ,  _lowercase       :							int = 6      ,  _lowercase       :							int = 49408      ,  _lowercase       :							int = 2      ,  _lowercase       :							int = 16      ,  _lowercase       :							int = 256      ,  _lowercase       :							int = 256      ,  _lowercase       :							int = 256      ,  _lowercase       :							int = 1024      ,  _lowercase       :							str = "GN"      ,  _lowercase       :							int = 6      ,  _lowercase       :							int = 10      ,  _lowercase       :							bool = True      ,  _lowercase       :							int = 8      ,  _lowercase       :							float = 0.1      ,  _lowercase       :							int = 2048      ,  _lowercase       :							bool = False      ,  _lowercase       :							bool = False      ,  _lowercase       :							int = 2      ,  _lowercase       :							int = 4      ,  **_lowercase       :							str      ,  )       ->				int:
									if backbone_config is None:
															logger.info("`backbone_config` is unset. Initializing the config with the default `Swin` backbone."		)
															snake_case      : Optional[int]							=   CONFIG_MAPPING["swin"](
															    image_size=224      ,  in_channels=3      ,  patch_size=4      ,  embed_dim=96      ,  depths=[2, 2, 6, 2]      ,  num_heads=[3, 6, 12, 24]      ,  window_size=7      ,  drop_path_rate=0.3      ,  use_absolute_embeddings=_lowercase      ,  out_features=["stage1", "stage2", "stage3", "stage4"]      ,  )
									elif isinstance(_lowercase      ,  _lowercase		):
															snake_case      : Dict							=   backbone_config.get("model_type"		)
															snake_case      : int							=   CONFIG_MAPPING[backbone_model_type]
															snake_case      : int							=   config_class.from_dict(_lowercase		)

									snake_case      : Optional[int]							=   backbone_config

									snake_case      : int							=   ignore_value
									snake_case      : Any							=   num_queries
									snake_case      : Tuple							=   no_object_weight
									snake_case      : List[str]							=   class_weight
									snake_case      : Dict							=   mask_weight
									snake_case      : List[str]							=   dice_weight
									snake_case      : List[str]							=   contrastive_weight
									snake_case      : Dict							=   contrastive_temperature
									snake_case      : Dict							=   train_num_points
									snake_case      : List[Any]							=   oversample_ratio
									snake_case      : Any							=   importance_sample_ratio
									snake_case      : int							=   init_std
									snake_case      : Tuple							=   init_xavier_std
									snake_case      : Optional[int]							=   layer_norm_eps
									snake_case      : Union[str, Any]							=   is_training
									snake_case      : Tuple							=   use_auxiliary_loss
									snake_case      : Optional[int]							=   output_auxiliary_logits
									snake_case      : Union[str, Any]							=   strides
									snake_case      : Union[str, Any]							=   task_seq_len
									snake_case      : Any							=   text_encoder_width
									snake_case      : Dict							=   text_encoder_context_length
									snake_case      : str							=   text_encoder_num_layers
									snake_case      : Optional[int]							=   text_encoder_vocab_size
									snake_case      : Tuple							=   text_encoder_proj_layers
									snake_case      : str							=   text_encoder_n_ctx
									snake_case      : Tuple							=   conv_dim
									snake_case      : Any							=   mask_dim
									snake_case      : Optional[Any]							=   hidden_dim
									snake_case      : Optional[int]							=   encoder_feedforward_dim
									snake_case      : int							=   norm
									snake_case      : str							=   encoder_layers
									snake_case      : List[Any]							=   decoder_layers
									snake_case      : Optional[int]							=   use_task_norm
									snake_case      : Optional[Any]							=   num_attention_heads
									snake_case      : str							=   dropout
									snake_case      : Union[str, Any]							=   dim_feedforward
									snake_case      : Tuple							=   pre_norm
									snake_case      : str							=   enforce_input_proj
									snake_case      : Tuple							=   query_dec_layers
									snake_case      : List[Any]							=   common_stride
									snake_case      : Dict							=   decoder_layers

									super().__init__(**_lowercase		)



			def 							__lowercase				( self       :							Optional[Any]		)       ->				Dict[str, any]:
									snake_case      : int							=   copy.deepcopy(self.__dict__		)
									snake_case      : Union[str, Any]							=   self.backbone_config.to_dict()
									snake_case      : Tuple							=   self.__class__.model_type
									return output








"""simple docstring"""







import unittest

from cer import CER


A    =	CER()

class 			_a     (   unittest.TestCase):



			def 							__lowercase				( self       :							Optional[Any]		)       ->				Tuple:
									snake_case      : Union[str, Any]							=   ["White House"]
									snake_case      : Tuple							=   ["white house"]
									# S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
									snake_case      : int							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.1818181818		) < 1E-6		)



			def 							__lowercase				( self       :							Optional[Any]		)       ->				Dict:
									snake_case      : Tuple							=   ["were wolf"]
									snake_case      : Union[str, Any]							=   ["werewolf"]
									# S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
									snake_case      : List[str]							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.1111111		) < 1E-6		)

									snake_case      : List[str]							=   ["werewolf"]
									snake_case      : Optional[Any]							=   ["weae     wolf"]
									# S = 1, D = 1, I = 0, N = 8, CER = 0.25
									snake_case      : Optional[int]							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.25		) < 1E-6		)

									# consecutive whitespaces case 1
									snake_case      : Optional[int]							=   ["were wolf"]
									snake_case      : Dict							=   ["were               wolf"]
									# S = 0, D = 0, I = 0, N = 9, CER = 0
									snake_case      : Dict							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.0		) < 1E-6		)

									# consecutive whitespaces case 2
									snake_case      : Dict							=   ["were   wolf"]
									snake_case      : Dict							=   ["were               wolf"]
									# S = 0, D = 0, I = 0, N = 9, CER = 0
									snake_case      : Optional[int]							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.0		) < 1E-6		)



			def 							__lowercase				( self       :							List[Any]		)       ->				Union[str, Any]:
									snake_case      : str							=   ["werewolf"]
									snake_case      : List[Any]							=   ["weaewolf"]
									# S = 1, D = 0, I = 0, N = 8, CER = 0.125
									snake_case      : str							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.125		) < 1E-6		)



			def 							__lowercase				( self       :							int		)       ->				int:
									snake_case      : Dict							=   ["werewolf"]
									snake_case      : Optional[Any]							=   ["wereawolf"]
									# S = 0, D = 1, I = 0, N = 8, CER = 0.125
									snake_case      : List[str]							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.125		) < 1E-6		)



			def 							__lowercase				( self       :							Union[str, Any]		)       ->				List[Any]:
									snake_case      : Tuple							=   ["werewolf"]
									snake_case      : Union[str, Any]							=   ["wereolf"]
									# S = 0, D = 0, I = 1, N = 8, CER = 0.125
									snake_case      : str							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.125		) < 1E-6		)



			def 							__lowercase				( self       :							int		)       ->				List[str]:
									snake_case      : int							=   ["werewolf"]
									snake_case      : Optional[Any]							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertEqual(_lowercase      ,  0.0		)



			def 							__lowercase				( self       :							List[Any]		)       ->				Optional[Any]:
									snake_case      : str							=   ["werewolf", "I am your father"]
									snake_case      : str							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertEqual(_lowercase      ,  0.0		)

									snake_case      : Union[str, Any]							=   ["werewolf", "I am your father", "doge"]
									snake_case      : str							=   ["werxwolf", "I       am your father", "doge"]
									# S = 1, D = 0, I = 0, N = 28, CER = 1 / 28
									snake_case      : Dict							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.03571428		) < 1E-6		)



			def 							__lowercase				( self       :							Any		)       ->				Union[str, Any]:
									snake_case      : Union[str, Any]							=   ["My hovercraft", "is full of eels"]
									snake_case      : List[str]							=   ["My hovercraft is full", " of eels"]
									# S = 0, D = 0, I = 2, N = 28, CER = 2 / 28
									# whitespace at the front of " of eels" will be strip during preporcessing
									# so need to insert 2 whitespaces
									snake_case      : int							=   cer.compute(predictions=_lowercase      ,  references=_lowercase      ,  concatenate_texts=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.071428		) < 1E-6		)



			def 							__lowercase				( self       :							Any		)       ->				Dict:
									snake_case      : Dict							=   ["我能吞下玻璃而不伤身体"]
									snake_case      : List[str]							=   [" 能吞虾玻璃而 不霜身体啦"]
									# S = 3, D = 2, I = 0, N = 11, CER = 5 / 11
									snake_case      : str							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.4545454545		) < 1E-6		)

									snake_case      : List[Any]							=   ["我能吞下玻璃", "而不伤身体"]
									snake_case      : int							=   ["我    能 吞 下 玻 璃", "而不伤身体"]
									# S = 0, D = 5, I = 0, N = 11, CER = 5 / 11
									snake_case      : Dict							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertTrue(abs(char_error_rate - 0.454545454545		) < 1E-6		)

									snake_case      : int							=   ["我能吞下玻璃而不伤身体"]
									snake_case      : int							=   cer.compute(predictions=_lowercase      ,  references=_lowercase		)
									self.assertFalse(_lowercase      ,  0.0		)



			def 							__lowercase				( self       :							List[Any]		)       ->				List[Any]:
									snake_case      : int							=   [""]
									snake_case      : Optional[int]							=   ["Hypothesis"]
									with self.assertRaises(_lowercase		):
															cer.compute(predictions=_lowercase      ,  references=_lowercase		)


if __name__ == "__main__":
			unittest.main()



