

import unittest

from cer import CER


__snake_case							:			List[Any]      		= CER()



class 					A__(unittest.TestCase       ):
						"""simple docstring"""






						def  UpperCamelCase__				(						self						)    ->   Optional[int]:
									a_	:	Any          =   ["""White House"""]
									a_	:	List[Any]          =   ["""white house"""]
									# S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
									a_	:	List[Any]          =   cer.compute(predictions=_lowercase     ,			references=_lowercase						)
									self.assertTrue(abs(char_error_rate - 0.1_8_1_8_1_8_1_8_1_8						) < 1e-6						)





						def  UpperCamelCase__				(						self						)    ->   List[str]:
									a_	:	Optional[Any]          =   ["""were wolf"""]
									a_	:	Optional[int]          =   ["""werewolf"""]
									# S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
									a_	:	List[str]          =   cer.compute(predictions=_lowercase     ,			references=_lowercase						)
									self.assertTrue(abs(char_error_rate - 0.1_1_1_1_1_1_1						) < 1e-6						)

									a_	:	str          =   ["""werewolf"""]
									a_	:	Optional[Any]          =   ["""weae     wolf"""]
									# S = 1, D = 1, I = 0, N = 8, CER = 0.25
									a_	:	List[str]          =   cer.compute(predictions=_lowercase     ,			references=_lowercase						)
									self.assertTrue(abs(char_error_rate - 0.2_5						) < 1e-6						)

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

									# consecutive whitespaces case 2
									a_	:	int          =   ["""were   wolf"""]
									a_	:	Union[str, Any]          =   ["""were               wolf"""]
									# S = 0, D = 0, I = 0, N = 9, CER = 0
									a_	:	List[str]          =   cer.compute(predictions=_lowercase     ,			references=_lowercase						)
									self.assertTrue(abs(char_error_rate - 0.0						) < 1e-6						)





						def  UpperCamelCase__				(						self						)    ->   Union[str, Any]:
									a_	:	Dict          =   ["""werewolf"""]
									a_	:	List[Any]          =   ["""weaewolf"""]
									# S = 1, D = 0, I = 0, N = 8, CER = 0.125
									a_	:	Optional[Any]          =   cer.compute(predictions=_lowercase     ,			references=_lowercase						)
									self.assertTrue(abs(char_error_rate - 0.1_2_5						) < 1e-6						)





						def  UpperCamelCase__				(						self						)    ->   List[Any]:
									a_	:	Union[str, Any]          =   ["""werewolf"""]
									a_	:	Optional[Any]          =   ["""wereawolf"""]
									# S = 0, D = 1, I = 0, N = 8, CER = 0.125
									a_	:	List[str]          =   cer.compute(predictions=_lowercase     ,			references=_lowercase						)
									self.assertTrue(abs(char_error_rate - 0.1_2_5						) < 1e-6						)





						def  UpperCamelCase__				(						self						)    ->   List[str]:
									a_	:	Optional[Any]          =   ["""werewolf"""]
									a_	:	Optional[Any]          =   ["""wereolf"""]
									# S = 0, D = 0, I = 1, N = 8, CER = 0.125
									a_	:	Tuple          =   cer.compute(predictions=_lowercase     ,			references=_lowercase						)
									self.assertTrue(abs(char_error_rate - 0.1_2_5						) < 1e-6						)





						def  UpperCamelCase__				(						self						)    ->   str:
									a_	:	Union[str, Any]          =   ["""werewolf"""]
									a_	:	List[str]          =   cer.compute(predictions=_lowercase     ,			references=_lowercase						)
									self.assertEqual(_lowercase     ,			0.0						)





						def  UpperCamelCase__				(						self						)    ->   Union[str, Any]:
									a_	:	int          =   ["""werewolf""", """I am your father"""]
									a_	:	Dict          =   cer.compute(predictions=_lowercase     ,			references=_lowercase						)
									self.assertEqual(_lowercase     ,			0.0						)

									a_	:	str          =   ["""werewolf""", """I am your father""", """doge"""]
									a_	:	Optional[int]          =   ["""werxwolf""", """I       am your father""", """doge"""]
									# S = 1, D = 0, I = 0, N = 28, CER = 1 / 28
									a_	:	List[Any]          =   cer.compute(predictions=_lowercase     ,			references=_lowercase						)
									self.assertTrue(abs(char_error_rate - 0.0_3_5_7_1_4_2_8						) < 1e-6						)





						def  UpperCamelCase__				(						self						)    ->   List[Any]:
									a_	:	Optional[Any]          =   ["""My hovercraft""", """is full of eels"""]
									a_	:	Union[str, Any]          =   ["""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
									a_	:	int          =   cer.compute(predictions=_lowercase     ,			references=_lowercase     ,			concatenate_texts=_lowercase						)
									self.assertTrue(abs(char_error_rate - 0.0_7_1_4_2_8						) < 1e-6						)





						def  UpperCamelCase__				(						self						)    ->   Tuple:
									a_	:	int          =   ["""我能吞下玻璃而不伤身体"""]
									a_	:	Optional[int]          =   [""" 能吞虾玻璃而 不霜身体啦"""]
									# S = 3, D = 2, I = 0, N = 11, CER = 5 / 11
									a_	:	List[Any]          =   cer.compute(predictions=_lowercase     ,			references=_lowercase						)
									self.assertTrue(abs(char_error_rate - 0.4_5_4_5_4_5_4_5_4_5						) < 1e-6						)

									a_	:	Optional[Any]          =   ["""我能吞下玻璃""", """而不伤身体"""]
									a_	:	Union[str, Any]          =   ["""我    能 吞 下 玻 璃""", """而不伤身体"""]
									# S = 0, D = 5, I = 0, N = 11, CER = 5 / 11
									a_	:	Tuple          =   cer.compute(predictions=_lowercase     ,			references=_lowercase						)
									self.assertTrue(abs(char_error_rate - 0.4_5_4_5_4_5_4_5_4_5_4_5						) < 1e-6						)

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





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


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





import copy
from typing import Dict

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
from ..bit import BitConfig


__snake_case							:			int      		= logging.get_logger(__name__)

__snake_case							:			Dict      		= {
    """google/vit-hybrid-base-bit-384""": """https://huggingface.co/vit-hybrid-base-bit-384/resolve/main/config.json""",
    # See all ViT hybrid models at https://huggingface.co/models?filter=vit
}



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






						_A						:							Dict									= '''vit-hybrid'''





						def __init__(						self     ,			_lowercase=None     ,			_lowercase=768     ,			_lowercase=12     ,			_lowercase=12     ,			_lowercase=3_072     ,			_lowercase="gelu"     ,			_lowercase=0.0     ,			_lowercase=0.0     ,			_lowercase=0.0_2     ,			_lowercase=1e-12     ,			_lowercase=224     ,			_lowercase=1     ,			_lowercase=3     ,			_lowercase=[1, 1_024, 24, 24]     ,			_lowercase=True     ,			**_lowercase     ,			)    ->   Tuple:
									super().__init__(**_lowercase						)

									if backbone_config is None:
												logger.info("""`backbone_config` is `None`. Initializing the config with a `BiT` backbone."""						)
												a_	:	Union[str, Any]          =   {
												    """global_padding""": """same""",
												    """layer_type""": """bottleneck""",
												    """depths""": [3, 4, 9],
												    """out_features""": ["""stage3"""],
												    """embedding_dynamic_padding""": True,
												}

									if isinstance(_lowercase     ,			_lowercase						):
												if "model_type" in backbone_config:
															a_	:	Any          =   CONFIG_MAPPING[backbone_config["""model_type"""]]
												else:
															logger.info(
															    """`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class."""						)
															a_	:	Optional[int]          =   BitConfig
												a_	:	Dict          =   backbone_config_class(**_lowercase						)

									a_	:	List[str]          =   backbone_featmap_shape
									a_	:	int          =   backbone_config
									a_	:	Union[str, Any]          =   hidden_size
									a_	:	Optional[int]          =   num_hidden_layers
									a_	:	Dict          =   num_attention_heads
									a_	:	Optional[int]          =   intermediate_size
									a_	:	Dict          =   hidden_act
									a_	:	Optional[Any]          =   hidden_dropout_prob
									a_	:	List[str]          =   attention_probs_dropout_prob
									a_	:	Tuple          =   initializer_range
									a_	:	Any          =   layer_norm_eps
									a_	:	List[Any]          =   image_size
									a_	:	Optional[Any]          =   patch_size
									a_	:	Optional[Any]          =   num_channels
									a_	:	str          =   qkv_bias





						def  UpperCamelCase__				(						self						)    ->   Dict[str, any]:
									a_	:	List[str]          =   copy.deepcopy(self.__dict__						)
									a_	:	Optional[int]          =   self.backbone_config.to_dict()
									a_	:	List[str]          =   self.__class__.model_type
									return output


