

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase__             =		logging.get_logger(__name__)

lowerCAmelCase__             =		{
    """tau/splinter-base""": """https://huggingface.co/tau/splinter-base/resolve/main/config.json""",
    """tau/splinter-base-qass""": """https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json""",
    """tau/splinter-large""": """https://huggingface.co/tau/splinter-large/resolve/main/config.json""",
    """tau/splinter-large-qass""": """https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json""",
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}







class 						lowercase     (					_lowercase				):


		"""simple docstring"""




		a__       							=	"splinter"


		def __init__(					self						,							__snake_case=3_05_22						,							__snake_case=7_68						,							__snake_case=12						,							__snake_case=12						,							__snake_case=30_72						,							__snake_case="gelu"						,							__snake_case=0.1						,							__snake_case=0.1						,							__snake_case=5_12						,							__snake_case=2						,							__snake_case=0.0_2						,							__snake_case=1e-12						,							__snake_case=True						,							__snake_case=0						,							__snake_case=1_04						,							**__snake_case						,							):
			super().__init__(pad_token_id=__snake_case						,							**__snake_case)

			_UpperCamelCase :		Union[str, Any]								=    vocab_size
			_UpperCamelCase :		Tuple								=    max_position_embeddings
			_UpperCamelCase :		Union[str, Any]								=    hidden_size
			_UpperCamelCase :		Optional[Any]								=    num_hidden_layers
			_UpperCamelCase :		Dict								=    num_attention_heads
			_UpperCamelCase :		Tuple								=    intermediate_size
			_UpperCamelCase :		Optional[Any]								=    hidden_act
			_UpperCamelCase :		Tuple								=    hidden_dropout_prob
			_UpperCamelCase :		Dict								=    attention_probs_dropout_prob
			_UpperCamelCase :		Optional[int]								=    initializer_range
			_UpperCamelCase :		Optional[int]								=    type_vocab_size
			_UpperCamelCase :		Optional[int]								=    layer_norm_eps
			_UpperCamelCase :		Tuple								=    use_cache
			_UpperCamelCase :		str								=    question_token_id







import unittest

from cer import CER


lowerCAmelCase__             =		CER()







class 						lowercase     (					unittest.TestCase				):


		"""simple docstring"""




		def 		A__       (					self):
			_UpperCamelCase :		Any								=    ['White House']
			_UpperCamelCase :		Tuple								=    ['white house']
			# S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
			_UpperCamelCase :		Tuple								=    cer.compute(predictions=__snake_case						,							references=__snake_case)
			self.assertTrue(abs(char_error_rate - 0.1_8_1_8_1_8_1_8_1_8) < 1e-6)


		def 		A__       (					self):
			_UpperCamelCase :		Union[str, Any]								=    ['were wolf']
			_UpperCamelCase :		List[Any]								=    ['werewolf']
			# S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
			_UpperCamelCase :		Dict								=    cer.compute(predictions=__snake_case						,							references=__snake_case)
			self.assertTrue(abs(char_error_rate - 0.1_1_1_1_1_1_1) < 1e-6)

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

			# consecutive whitespaces case 1
			_UpperCamelCase :		Tuple								=    ['were wolf']
			_UpperCamelCase :		Dict								=    ['were               wolf']
			# S = 0, D = 0, I = 0, N = 9, CER = 0
			_UpperCamelCase :		List[str]								=    cer.compute(predictions=__snake_case						,							references=__snake_case)
			self.assertTrue(abs(char_error_rate - 0.0) < 1e-6)

			# consecutive whitespaces case 2
			_UpperCamelCase :		Dict								=    ['were   wolf']
			_UpperCamelCase :		Dict								=    ['were               wolf']
			# S = 0, D = 0, I = 0, N = 9, CER = 0
			_UpperCamelCase :		Dict								=    cer.compute(predictions=__snake_case						,							references=__snake_case)
			self.assertTrue(abs(char_error_rate - 0.0) < 1e-6)


		def 		A__       (					self):
			_UpperCamelCase :		Tuple								=    ['werewolf']
			_UpperCamelCase :		Optional[Any]								=    ['weaewolf']
			# S = 1, D = 0, I = 0, N = 8, CER = 0.125
			_UpperCamelCase :		List[str]								=    cer.compute(predictions=__snake_case						,							references=__snake_case)
			self.assertTrue(abs(char_error_rate - 0.1_2_5) < 1e-6)


		def 		A__       (					self):
			_UpperCamelCase :		int								=    ['werewolf']
			_UpperCamelCase :		Any								=    ['wereawolf']
			# S = 0, D = 1, I = 0, N = 8, CER = 0.125
			_UpperCamelCase :		Optional[int]								=    cer.compute(predictions=__snake_case						,							references=__snake_case)
			self.assertTrue(abs(char_error_rate - 0.1_2_5) < 1e-6)


		def 		A__       (					self):
			_UpperCamelCase :		str								=    ['werewolf']
			_UpperCamelCase :		Optional[Any]								=    ['wereolf']
			# S = 0, D = 0, I = 1, N = 8, CER = 0.125
			_UpperCamelCase :		List[Any]								=    cer.compute(predictions=__snake_case						,							references=__snake_case)
			self.assertTrue(abs(char_error_rate - 0.1_2_5) < 1e-6)


		def 		A__       (					self):
			_UpperCamelCase :		Optional[Any]								=    ['werewolf']
			_UpperCamelCase :		Optional[Any]								=    cer.compute(predictions=__snake_case						,							references=__snake_case)
			self.assertEqual(__snake_case						,							0.0)


		def 		A__       (					self):
			_UpperCamelCase :		Union[str, Any]								=    ['werewolf', 'I am your father']
			_UpperCamelCase :		Dict								=    cer.compute(predictions=__snake_case						,							references=__snake_case)
			self.assertEqual(__snake_case						,							0.0)

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


		def 		A__       (					self):
			_UpperCamelCase :		Tuple								=    ['My hovercraft', 'is full of eels']
			_UpperCamelCase :		List[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
			_UpperCamelCase :		Dict								=    cer.compute(predictions=__snake_case						,							references=__snake_case						,							concatenate_texts=__snake_case)
			self.assertTrue(abs(char_error_rate - 0.0_7_1_4_2_8) < 1e-6)


		def 		A__       (					self):
			_UpperCamelCase :		Union[str, Any]								=    ['我能吞下玻璃而不伤身体']
			_UpperCamelCase :		Optional[Any]								=    [' 能吞虾玻璃而 不霜身体啦']
			# S = 3, D = 2, I = 0, N = 11, CER = 5 / 11
			_UpperCamelCase :		Any								=    cer.compute(predictions=__snake_case						,							references=__snake_case)
			self.assertTrue(abs(char_error_rate - 0.4_5_4_5_4_5_4_5_4_5) < 1e-6)

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

			_UpperCamelCase :		Optional[int]								=    ['我能吞下玻璃而不伤身体']
			_UpperCamelCase :		int								=    cer.compute(predictions=__snake_case						,							references=__snake_case)
			self.assertFalse(__snake_case						,							0.0)






		def 		A__       (					self):
			_UpperCamelCase :		Tuple								=    ['']
			_UpperCamelCase :		Dict								=    ['Hypothesis']
			with self.assertRaises(__snake_case):
				cer.compute(predictions=__snake_case						,							references=__snake_case)


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




