



from typing import Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


lowerCAmelCase__	:  Optional[Any] 		=[
    '''AutomaticSpeechRecognition''',
    '''AudioClassification''',
    '''ImageClassification''',
    '''LanguageModeling''',
    '''QuestionAnsweringExtractive''',
    '''Summarization''',
    '''TaskTemplate''',
    '''TextClassification''',
]

lowerCAmelCase__	:  Any 		=get_logger(__name__)


lowerCAmelCase__	:  List[Any] 		={
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}






def 			__lowercase     (				a__     )       ->				Optional[TaskTemplate]:
							__SCREAMING_SNAKE_CASE								=      task_template_dict.get('task'     )
							if task_name is None:
														logger.warning(f"""Couldn't find template for task '{task_name}'. Available templates: {list(a__     )}"""     )
														return None
							__SCREAMING_SNAKE_CASE								=      NAMEaTEMPLATE.get(a__     )
							return template.from_dict(a__     )











import unittest

from cer import CER


lowerCAmelCase__	:  Dict 		=CER()

class      UpperCAmelCase_						(     unittest.TestCase ):

						'''simple docstring'''




						def  _A			(					self	):







													'''simple docstring'''

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






						def  _A			(					self	):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE								=      ['were wolf']
													__SCREAMING_SNAKE_CASE								=      ['werewolf']
													# S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
													__SCREAMING_SNAKE_CASE								=      cer.compute(predictions=_A   ,							references=_A	)
													self.assertTrue(abs(char_error_rate - 0.1_1_1_1_1_1_1	) < 1e-6	)

													__SCREAMING_SNAKE_CASE								=      ['werewolf']
													__SCREAMING_SNAKE_CASE								=      ['weae     wolf']
													# S = 1, D = 1, I = 0, N = 8, CER = 0.25
													__SCREAMING_SNAKE_CASE								=      cer.compute(predictions=_A   ,							references=_A	)
													self.assertTrue(abs(char_error_rate - 0.2_5	) < 1e-6	)

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

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






						def  _A			(					self	):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE								=      ['werewolf']
													__SCREAMING_SNAKE_CASE								=      ['weaewolf']
													# S = 1, D = 0, I = 0, N = 8, CER = 0.125
													__SCREAMING_SNAKE_CASE								=      cer.compute(predictions=_A   ,							references=_A	)
													self.assertTrue(abs(char_error_rate - 0.1_2_5	) < 1e-6	)






						def  _A			(					self	):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE								=      ['werewolf']
													__SCREAMING_SNAKE_CASE								=      ['wereawolf']
													# S = 0, D = 1, I = 0, N = 8, CER = 0.125
													__SCREAMING_SNAKE_CASE								=      cer.compute(predictions=_A   ,							references=_A	)
													self.assertTrue(abs(char_error_rate - 0.1_2_5	) < 1e-6	)






						def  _A			(					self	):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE								=      ['werewolf']
													__SCREAMING_SNAKE_CASE								=      ['wereolf']
													# S = 0, D = 0, I = 1, N = 8, CER = 0.125
													__SCREAMING_SNAKE_CASE								=      cer.compute(predictions=_A   ,							references=_A	)
													self.assertTrue(abs(char_error_rate - 0.1_2_5	) < 1e-6	)






						def  _A			(					self	):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE								=      ['werewolf']
													__SCREAMING_SNAKE_CASE								=      cer.compute(predictions=_A   ,							references=_A	)
													self.assertEqual(_A   ,							0.0	)






						def  _A			(					self	):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE								=      ['werewolf', 'I am your father']
													__SCREAMING_SNAKE_CASE								=      cer.compute(predictions=_A   ,							references=_A	)
													self.assertEqual(_A   ,							0.0	)

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






						def  _A			(					self	):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE								=      ['My hovercraft', 'is full of eels']
													__SCREAMING_SNAKE_CASE								=      ['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
													__SCREAMING_SNAKE_CASE								=      cer.compute(predictions=_A   ,							references=_A   ,							concatenate_texts=_A	)
													self.assertTrue(abs(char_error_rate - 0.0_7_1_4_2_8	) < 1e-6	)






						def  _A			(					self	):







													'''simple docstring'''

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

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

													__SCREAMING_SNAKE_CASE								=      ['我能吞下玻璃而不伤身体']
													__SCREAMING_SNAKE_CASE								=      cer.compute(predictions=_A   ,							references=_A	)
													self.assertFalse(_A   ,							0.0	)






						def  _A			(					self	):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE								=      ['']
													__SCREAMING_SNAKE_CASE								=      ['Hypothesis']
													with self.assertRaises(_A	):
																				cer.compute(predictions=_A   ,							references=_A	)


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






