




import unittest

from cer import CER


UpperCamelCase__            =     CER()
class      a__       (   unittest.TestCase ):






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



											__lowerCAmelCase							  =			['White House']
											__lowerCAmelCase							  =			['white house']
											# S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
											__lowerCAmelCase							  =			cer.compute(predictions=_snake_case						,     references=_snake_case     )
											self.assertTrue(abs(char_error_rate - 0.18_18_18_18_18     ) < 1E-6     )






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



											__lowerCAmelCase							  =			['were wolf']
											__lowerCAmelCase							  =			['werewolf']
											# S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
											__lowerCAmelCase							  =			cer.compute(predictions=_snake_case						,     references=_snake_case     )
											self.assertTrue(abs(char_error_rate - 0.1_11_11_11     ) < 1E-6     )

											__lowerCAmelCase							  =			['werewolf']
											__lowerCAmelCase							  =			['weae     wolf']
											# S = 1, D = 1, I = 0, N = 8, CER = 0.25
											__lowerCAmelCase							  =			cer.compute(predictions=_snake_case						,     references=_snake_case     )
											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=_snake_case						,     references=_snake_case     )
											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=_snake_case						,     references=_snake_case     )
											self.assertTrue(abs(char_error_rate - 0.0     ) < 1E-6     )






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



											__lowerCAmelCase							  =			['werewolf']
											__lowerCAmelCase							  =			['weaewolf']
											# S = 1, D = 0, I = 0, N = 8, CER = 0.125
											__lowerCAmelCase							  =			cer.compute(predictions=_snake_case						,     references=_snake_case     )
											self.assertTrue(abs(char_error_rate - 0.1_25     ) < 1E-6     )






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



											__lowerCAmelCase							  =			['werewolf']
											__lowerCAmelCase							  =			['wereawolf']
											# S = 0, D = 1, I = 0, N = 8, CER = 0.125
											__lowerCAmelCase							  =			cer.compute(predictions=_snake_case						,     references=_snake_case     )
											self.assertTrue(abs(char_error_rate - 0.1_25     ) < 1E-6     )






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



											__lowerCAmelCase							  =			['werewolf']
											__lowerCAmelCase							  =			['wereolf']
											# S = 0, D = 0, I = 1, N = 8, CER = 0.125
											__lowerCAmelCase							  =			cer.compute(predictions=_snake_case						,     references=_snake_case     )
											self.assertTrue(abs(char_error_rate - 0.1_25     ) < 1E-6     )






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



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






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



											__lowerCAmelCase							  =			['werewolf', 'I am your father']
											__lowerCAmelCase							  =			cer.compute(predictions=_snake_case						,     references=_snake_case     )
											self.assertEqual(_snake_case						,     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=_snake_case						,     references=_snake_case     )
											self.assertTrue(abs(char_error_rate - 0.03_57_14_28     ) < 1E-6     )






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""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=_snake_case						,     references=_snake_case						,     concatenate_texts=_snake_case     )
											self.assertTrue(abs(char_error_rate - 0.07_14_28     ) < 1E-6     )






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""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=_snake_case						,     references=_snake_case     )
											self.assertTrue(abs(char_error_rate - 0.45_45_45_45_45     ) < 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=_snake_case						,     references=_snake_case     )
											self.assertTrue(abs(char_error_rate - 0.45_45_45_45_45_45     ) < 1E-6     )

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






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



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


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












from dataclasses import dataclass

UpperCamelCase											=      '''0.1'''
UpperCamelCase											=      '''Lucia Harcekova'''




@dataclass
class 	lowerCamelCase__				:
      lowerCamelCase_							:   int
      lowerCamelCase_							:   int
      lowerCamelCase_							:   str






      def __repr__(self					:    Tuple		)       ->   str:


       """simple docstring"""






       return f'({self.offset}, {self.length}, {self.indicator})'




class 	lowerCamelCase__				:






      def __init__(self					:    Optional[int]		,		_snake_case					:    int = 13		,		_snake_case					:    int = 6		)       ->   None:


       """simple docstring"""






       lowerCamelCase_							:    Any							=     window_size
       lowerCamelCase_							:    List[str]							=     lookahead_buffer_size
       lowerCamelCase_							:    Optional[int]							=     self.window_size - self.lookahead_buffer_size






      def      UpperCAmelCase_     (self					:    Tuple		,		_snake_case					:    str		)       ->   list[Token]:


       """simple docstring"""






       lowerCamelCase_							:    Optional[Any]							=     []
       lowerCamelCase_							:    List[str]							=     ''

       # while there are still characters in text to compress
       while text:
        # find the next encoding phrase
        # - triplet with offset, length, indicator (the next encoding character)
        lowerCamelCase_							:    List[Any]							=     self._find_encoding_token(_snake_case		,		_snake_case		)

        # update the search buffer:
        # - add new characters from text into it
        # - check if size exceed the max search buffer size, if so, drop the
        #   oldest elements
        search_buffer += text[: token.length + 1]
        if len(_snake_case		) > self.search_buffer_size:
         lowerCamelCase_							:    int							=     search_buffer[-self.search_buffer_size :]

        # update the text
        lowerCamelCase_							:    str							=     text[token.length + 1 :]

        # append the token to output
        output.append(_snake_case		)

       return output






      def      UpperCAmelCase_     (self					:    Tuple		,		_snake_case					:    list[Token]		)       ->   str:


       """simple docstring"""






       lowerCamelCase_							:    Optional[Any]							=     ''

       for token in tokens:
        for _ in range(token.length		):
         output += output[-token.offset]
        output += token.indicator

       return output






      def      UpperCAmelCase_     (self					:    Dict		,		_snake_case					:    str		,		_snake_case					:    str		)       ->   Token:


       """simple docstring"""






       if not text:
        raise ValueError('We need some text to work with.'		)

       # Initialise result parameters to default values
       lowerCamelCase_		,      lowerCamelCase_							:    List[str]							=     0, 0

       if not search_buffer:
        return Token(_snake_case		,		_snake_case		,		text[length]		)

       for i, character in enumerate(_snake_case		):
        lowerCamelCase_							:    Union[str, Any]							=     len(_snake_case		) - i
        if character == text[0]:
         lowerCamelCase_							:    str							=     self._match_length_from_index(_snake_case		,		_snake_case		,		0		,		_snake_case		)
         # if the found length is bigger than the current or if it's equal,
         # which means it's offset is smaller: update offset and length
         if found_length >= length:
          lowerCamelCase_		,      lowerCamelCase_							:    str							=     found_offset, found_length

       return Token(_snake_case		,		_snake_case		,		text[length]		)






      def      UpperCAmelCase_     (self					:    Any		,		_snake_case					:    str		,		_snake_case					:    str		,		_snake_case					:    int		,		_snake_case					:    int		)       ->   int:


       """simple docstring"""






       if not text or text[text_index] != window[window_index]:
        return 0
       return 1 + self._match_length_from_index(
           _snake_case		,		window + text[text_index]		,		text_index + 1		,		window_index + 1		)


if __name__ == "__main__":
       from doctest import testmod

       testmod()
       # Initialize compressor class
       UpperCamelCase											=      LZaaCompressor(window_size=1_3, lookahead_buffer_size=6)

       # Example
       UpperCamelCase											=      '''cabracadabrarrarrad'''
       UpperCamelCase											=      lzaa_compressor.compress(TEXT)
       print(lzaa_compressor.compress('''ababcbababaa'''))
       UpperCamelCase											=      lzaa_compressor.decompress(compressed_text)
       assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."
