
'''simple docstring'''







from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers
class  SCREAMING_SNAKE_CASE__       :
	def __init__(				self  ,    __UpperCamelCase			):



					'''simple docstring'''






					__a       :     Union[str, Any]								=	vocab
					__a       :     int								=	normalizers.BertNormalizer(
					    clean_text=__UpperCamelCase  ,    handle_chinese_chars=__UpperCamelCase  ,    strip_accents=__UpperCamelCase  ,    lowercase=__UpperCamelCase  ,    )
					try:
									import rjieba
					except ImportError:
									raise ImportError(
									    """You need to install rjieba to use RoFormerTokenizer. """
									    """See https://pypi.org/project/rjieba/ for installation."""			)
					__a       :     Optional[Any]								=	rjieba
	def __lowerCamelCase    (				self  ,    __UpperCamelCase  ,    __UpperCamelCase			):



					'''simple docstring'''






					__a       :     Union[str, Any]								=	[]

					# this code slice normalized_string is too slow (6s) but test_alignement_methods can pass
					for token, start, end in self.jieba.tokenize(str(__UpperCamelCase			)  ,    hmm=__UpperCamelCase			):
									if token in self.vocab:
													splits.append(normalized_string[start:end]			)
									else:
													__a       :     str								=	self.normalizers.normalize_str(__UpperCamelCase			).split()
													for token in token_list:
																	if token:
																					__a       :     str								=	start + len(__UpperCamelCase			)
																					splits.append(normalized_string[start:end]			)
																					__a       :     Union[str, Any]								=	end

        # this code test_alignement_methods can't pass but fast (300ms)
        # for token in self.jieba.cut(str(normalized_string), False):
        #     if token in self.vocab:
        #         splits.append(NormalizedString(token))
        #     else:
        #         token_list = self.normalizers.normalize_str(token).split()
        #         for token in token_list:
        #             if token:
        #                 splits.append(NormalizedString(token))

					return splits

	def __lowerCamelCase    (				self  ,    __UpperCamelCase			):



					'''simple docstring'''






					pretok.split(self.jieba_split			)

'''simple docstring'''







import unittest

from cer import CER


__SCREAMING_SNAKE_CASE		:  List[str]        =      CER()
class  SCREAMING_SNAKE_CASE__       (  unittest.TestCase   ):
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     Optional[Any]								=	["""White House"""]
					__a       :     Tuple								=	["""white house"""]
					# S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
					__a       :     Any								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.1_8_1_8_1_8_1_8_1_8			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     Optional[int]								=	["""were wolf"""]
					__a       :     Tuple								=	["""werewolf"""]
					# S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
					__a       :     Any								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.1_1_1_1_1_1_1			) < 1E-6			)

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

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

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



					'''simple docstring'''






					__a       :     Dict								=	["""werewolf"""]
					__a       :     str								=	["""weaewolf"""]
					# S = 1, D = 0, I = 0, N = 8, CER = 0.125
					__a       :     Optional[int]								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.1_2_5			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     List[str]								=	["""werewolf"""]
					__a       :     Tuple								=	["""wereawolf"""]
					# S = 0, D = 1, I = 0, N = 8, CER = 0.125
					__a       :     Optional[Any]								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.1_2_5			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     List[str]								=	["""werewolf"""]
					__a       :     Optional[Any]								=	["""wereolf"""]
					# S = 0, D = 0, I = 1, N = 8, CER = 0.125
					__a       :     int								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.1_2_5			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     Dict								=	["""werewolf"""]
					__a       :     Tuple								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertEqual(__UpperCamelCase  ,    0.0			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     List[str]								=	["""werewolf""", """I am your father"""]
					__a       :     int								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertEqual(__UpperCamelCase  ,    0.0			)

					__a       :     Dict								=	["""werewolf""", """I am your father""", """doge"""]
					__a       :     Optional[Any]								=	["""werxwolf""", """I       am your father""", """doge"""]
					# S = 1, D = 0, I = 0, N = 28, CER = 1 / 28
					__a       :     Union[str, Any]								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.0_3_5_7_1_4_2_8			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     List[str]								=	["""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       :     str								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase  ,    concatenate_texts=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.0_7_1_4_2_8			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     int								=	["""我能吞下玻璃而不伤身体"""]
					__a       :     Optional[Any]								=	[""" 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=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.4_5_4_5_4_5_4_5_4_5			) < 1E-6			)

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

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

	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     List[Any]								=	[""""""]
					__a       :     Dict								=	["""Hypothesis"""]
					with self.assertRaises(__UpperCamelCase			):
									cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)


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