code: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
  
  
  UpperCAmelCase      :						Union[str, Any]    =		{
      "configuration_markuplm": ["MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "MarkupLMConfig"],
      "feature_extraction_markuplm": ["MarkupLMFeatureExtractor"],
      "processing_markuplm": ["MarkupLMProcessor"],
      "tokenization_markuplm": ["MarkupLMTokenizer"],
  }
  
  try:
  		if not is_tokenizers_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		UpperCAmelCase      :						int    =		["MarkupLMTokenizerFast"]
  
  try:
  		if not is_torch_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		UpperCAmelCase      :						List[str]    =		[
  		    "MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST",
  		    "MarkupLMForQuestionAnswering",
  		    "MarkupLMForSequenceClassification",
  		    "MarkupLMForTokenClassification",
  		    "MarkupLMModel",
  		    "MarkupLMPreTrainedModel",
  		]
  
  
  if TYPE_CHECKING:
  		from .configuration_markuplm import MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP, MarkupLMConfig
  		from .feature_extraction_markuplm import MarkupLMFeatureExtractor
  		from .processing_markuplm import MarkupLMProcessor
  		from .tokenization_markuplm import MarkupLMTokenizer
  
  		try:
  				if not is_tokenizers_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .tokenization_markuplm_fast import MarkupLMTokenizerFast
  
  		try:
  				if not is_torch_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_markuplm import (
  				    MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
  				    MarkupLMForQuestionAnswering,
  				    MarkupLMForSequenceClassification,
  				    MarkupLMForTokenClassification,
  				    MarkupLMModel,
  				    MarkupLMPreTrainedModel,
  				)
  
  
  else:
  		import sys
  
  		UpperCAmelCase      :						Any    =		_LazyModule(__name__, globals()["__file__"], _import_structure)
  
  
style_context: 
  
  
  import unittest
  
  from cer import CER
  
  
  UpperCAmelCase      :						Union[str, Any]    =		CER()
  
  
  
  
  
  
  
  class 					__lowercase					(       unittest.TestCase     ):
  
  
  
  		"""simple docstring"""
  
  		def 				__A      (   self  )     ->   Optional[int]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     ["""White House"""]
  					lowerCamelCase								=     ["""white house"""]
  					# S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertTrue(abs(char_error_rate - 0.1818181818  ) < 1e-6  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   List[str]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     ["""were wolf"""]
  					lowerCamelCase								=     ["""werewolf"""]
  					# S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertTrue(abs(char_error_rate - 0.1111111  ) < 1e-6  )
  
  					lowerCamelCase								=     ["""werewolf"""]
  					lowerCamelCase								=     ["""weae     wolf"""]
  					# S = 1, D = 1, I = 0, N = 8, CER = 0.25
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertTrue(abs(char_error_rate - 0.25  ) < 1e-6  )
  
  					# consecutive whitespaces case 1
  					lowerCamelCase								=     ["""were wolf"""]
  					lowerCamelCase								=     ["""were               wolf"""]
  					# S = 0, D = 0, I = 0, N = 9, CER = 0
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertTrue(abs(char_error_rate - 0.0  ) < 1e-6  )
  
  					# consecutive whitespaces case 2
  					lowerCamelCase								=     ["""were   wolf"""]
  					lowerCamelCase								=     ["""were               wolf"""]
  					# S = 0, D = 0, I = 0, N = 9, CER = 0
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertTrue(abs(char_error_rate - 0.0  ) < 1e-6  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   str:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     ["""werewolf"""]
  					lowerCamelCase								=     ["""weaewolf"""]
  					# S = 1, D = 0, I = 0, N = 8, CER = 0.125
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertTrue(abs(char_error_rate - 0.125  ) < 1e-6  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   Tuple:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     ["""werewolf"""]
  					lowerCamelCase								=     ["""wereawolf"""]
  					# S = 0, D = 1, I = 0, N = 8, CER = 0.125
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertTrue(abs(char_error_rate - 0.125  ) < 1e-6  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   List[Any]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     ["""werewolf"""]
  					lowerCamelCase								=     ["""wereolf"""]
  					# S = 0, D = 0, I = 1, N = 8, CER = 0.125
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertTrue(abs(char_error_rate - 0.125  ) < 1e-6  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   Tuple:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     ["""werewolf"""]
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertEqual(A		,			0.0  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   List[str]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     ["""werewolf""", """I am your father"""]
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertEqual(A		,			0.0  )
  
  					lowerCamelCase								=     ["""werewolf""", """I am your father""", """doge"""]
  					lowerCamelCase								=     ["""werxwolf""", """I       am your father""", """doge"""]
  					# S = 1, D = 0, I = 0, N = 28, CER = 1 / 28
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertTrue(abs(char_error_rate - 0.03571428  ) < 1e-6  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   List[Any]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     ["""My hovercraft""", """is full of eels"""]
  					lowerCamelCase								=     ["""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
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A		,			concatenate_texts=A  )
  					self.assertTrue(abs(char_error_rate - 0.071428  ) < 1e-6  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   Optional[int]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     ["""我能吞下玻璃而不伤身体"""]
  					lowerCamelCase								=     [""" 能吞虾玻璃而 不霜身体啦"""]
  					# S = 3, D = 2, I = 0, N = 11, CER = 5 / 11
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertTrue(abs(char_error_rate - 0.4545454545  ) < 1e-6  )
  
  					lowerCamelCase								=     ["""我能吞下玻璃""", """而不伤身体"""]
  					lowerCamelCase								=     ["""我    能 吞 下 玻 璃""", """而不伤身体"""]
  					# S = 0, D = 5, I = 0, N = 11, CER = 5 / 11
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertTrue(abs(char_error_rate - 0.454545454545  ) < 1e-6  )
  
  					lowerCamelCase								=     ["""我能吞下玻璃而不伤身体"""]
  					lowerCamelCase								=     cer.compute(predictions=A		,			references=A  )
  					self.assertFalse(A		,			0.0  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   Optional[int]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     [""""""]
  					lowerCamelCase								=     ["""Hypothesis"""]
  					with self.assertRaises(A  ):
  								cer.compute(predictions=A		,			references=A  )
  
  
  if __name__ == "__main__":
  		unittest.main()
  
  