
"""simple docstring"""
from dataclasses import dataclass

lowercase		:    str			=       "0.1"
lowercase		:    str			=       "Lucia Harcekova"




@dataclass
class  _snake_case	:
							SCREAMING_SNAKE_CASE		  =    42
							SCREAMING_SNAKE_CASE		  =    42
							SCREAMING_SNAKE_CASE		  =    42






							def __repr__(       self    :      Optional[Any]     ):






												"""simple docstring"""



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






class  _snake_case	:






							def __init__(       self    :      Optional[int]    ,			snake_case__    :      Dict = 1_3    ,			snake_case__    :      Dict = 6     ):






												"""simple docstring"""



												__a:    Dict		     =       window_size
												__a:    Tuple		     =       lookahead_buffer_size
												__a:    List[Any]		     =       self.window_size - self.lookahead_buffer_size






							def 				__lowercase	(       self    :      Dict    ,			snake_case__    :      List[Any]     ):






												"""simple docstring"""



												__a:    Optional[int]		     =       []
												__a:    Optional[int]		     =       ''

												# 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)
																	__a:    List[Any]		     =       self._find_encoding_token(lowerCamelCase_    ,			lowerCamelCase_     )

																	# 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(lowerCamelCase_     ) > self.search_buffer_size:
																						__a:    Dict		     =       search_buffer[-self.search_buffer_size :]

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

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

												return output






							def 				__lowercase	(       self    :      Optional[Any]    ,			snake_case__    :      Optional[int]     ):






												"""simple docstring"""



												__a:    List[str]		     =       ''

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

												return output






							def 				__lowercase	(       self    :      str    ,			snake_case__    :      Tuple    ,			snake_case__    :      Tuple     ):






												"""simple docstring"""



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

												# Initialise result parameters to default values
												__a:    Optional[Any]		     =       0, 0

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

												for i, character in enumerate(lowerCamelCase_     ):
																	__a:    Any		     =       len(lowerCamelCase_     ) - i
																	if character == text[0]:
																						__a:    Any		     =       self._match_length_from_index(lowerCamelCase_    ,			lowerCamelCase_    ,			0    ,			lowerCamelCase_     )
																						# 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:
																											__a:    Optional[int]		     =       found_offset, found_length

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






							def 				__lowercase	(       self    :      int    ,			snake_case__    :      Tuple    ,			snake_case__    :      Dict    ,			snake_case__    :      Tuple    ,			snake_case__    :      Tuple     ):






												"""simple docstring"""



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


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

			testmod()
			# Initialize compressor class
			lowercase		:    str			=       LZaaCompressor(window_size=13, lookahead_buffer_size=6)

			# Example
			lowercase		:    str			=       "cabracadabrarrarrad"
			lowercase		:    List[Any]			=       lzaa_compressor.compress(TEXT)
			print(lzaa_compressor.compress('ababcbababaa'))
			lowercase		:    Any			=       lzaa_compressor.decompress(compressed_text)
			assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."








"""simple docstring"""
import unittest

from cer import CER


A_     :					Union[str, Any]							=     CER()



class 						a_ (      unittest.TestCase					):







      '''simple docstring'''

      def      a__				(self   ):

       '''simple docstring'''



       lowerCamelCase__	:     Optional[Any]								=		['White House']
       lowerCamelCase__	:     List[str]								=		['white house']
       # S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
       lowerCamelCase__	:     Dict								=		cer.compute(predictions=lowerCamelCase_,	references=lowerCamelCase_   )
       self.assertTrue(abs(char_error_rate - 0.1_818_181_818   ) < 1e-6   )




      def      a__				(self   ):

       '''simple docstring'''



       lowerCamelCase__	:     Union[str, Any]								=		['were wolf']
       lowerCamelCase__	:     Union[str, Any]								=		['werewolf']
       # S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
       lowerCamelCase__	:     Dict								=		cer.compute(predictions=lowerCamelCase_,	references=lowerCamelCase_   )
       self.assertTrue(abs(char_error_rate - 0.1_111_111   ) < 1e-6   )

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

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

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




      def      a__				(self   ):

       '''simple docstring'''



       lowerCamelCase__	:     Optional[Any]								=		['werewolf']
       lowerCamelCase__	:     Optional[int]								=		['weaewolf']
       # S = 1, D = 0, I = 0, N = 8, CER = 0.125
       lowerCamelCase__	:     Union[str, Any]								=		cer.compute(predictions=lowerCamelCase_,	references=lowerCamelCase_   )
       self.assertTrue(abs(char_error_rate - 0.125   ) < 1e-6   )




      def      a__				(self   ):

       '''simple docstring'''



       lowerCamelCase__	:     int								=		['werewolf']
       lowerCamelCase__	:     Union[str, Any]								=		['wereawolf']
       # S = 0, D = 1, I = 0, N = 8, CER = 0.125
       lowerCamelCase__	:     Any								=		cer.compute(predictions=lowerCamelCase_,	references=lowerCamelCase_   )
       self.assertTrue(abs(char_error_rate - 0.125   ) < 1e-6   )




      def      a__				(self   ):

       '''simple docstring'''



       lowerCamelCase__	:     List[Any]								=		['werewolf']
       lowerCamelCase__	:     Dict								=		['wereolf']
       # S = 0, D = 0, I = 1, N = 8, CER = 0.125
       lowerCamelCase__	:     int								=		cer.compute(predictions=lowerCamelCase_,	references=lowerCamelCase_   )
       self.assertTrue(abs(char_error_rate - 0.125   ) < 1e-6   )




      def      a__				(self   ):

       '''simple docstring'''



       lowerCamelCase__	:     Optional[int]								=		['werewolf']
       lowerCamelCase__	:     Tuple								=		cer.compute(predictions=lowerCamelCase_,	references=lowerCamelCase_   )
       self.assertEqual(lowerCamelCase_,	0.0   )




      def      a__				(self   ):

       '''simple docstring'''



       lowerCamelCase__	:     List[str]								=		['werewolf', 'I am your father']
       lowerCamelCase__	:     List[Any]								=		cer.compute(predictions=lowerCamelCase_,	references=lowerCamelCase_   )
       self.assertEqual(lowerCamelCase_,	0.0   )

       lowerCamelCase__	:     Dict								=		['werewolf', 'I am your father', 'doge']
       lowerCamelCase__	:     int								=		['werxwolf', 'I       am your father', 'doge']
       # S = 1, D = 0, I = 0, N = 28, CER = 1 / 28
       lowerCamelCase__	:     Optional[int]								=		cer.compute(predictions=lowerCamelCase_,	references=lowerCamelCase_   )
       self.assertTrue(abs(char_error_rate - 0.03_571_428   ) < 1e-6   )




      def      a__				(self   ):

       '''simple docstring'''



       lowerCamelCase__	:     Union[str, Any]								=		['My hovercraft', 'is full of eels']
       lowerCamelCase__	:     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
       lowerCamelCase__	:     Dict								=		cer.compute(predictions=lowerCamelCase_,	references=lowerCamelCase_,	concatenate_texts=lowerCamelCase_   )
       self.assertTrue(abs(char_error_rate - 0.071_428   ) < 1e-6   )




      def      a__				(self   ):

       '''simple docstring'''



       lowerCamelCase__	:     Optional[Any]								=		['我能吞下玻璃而不伤身体']
       lowerCamelCase__	:     Any								=		[' 能吞虾玻璃而 不霜身体啦']
       # S = 3, D = 2, I = 0, N = 11, CER = 5 / 11
       lowerCamelCase__	:     List[str]								=		cer.compute(predictions=lowerCamelCase_,	references=lowerCamelCase_   )
       self.assertTrue(abs(char_error_rate - 0.4_545_454_545   ) < 1e-6   )

       lowerCamelCase__	:     Optional[Any]								=		['我能吞下玻璃', '而不伤身体']
       lowerCamelCase__	:     Optional[Any]								=		['我    能 吞 下 玻 璃', '而不伤身体']
       # S = 0, D = 5, I = 0, N = 11, CER = 5 / 11
       lowerCamelCase__	:     Dict								=		cer.compute(predictions=lowerCamelCase_,	references=lowerCamelCase_   )
       self.assertTrue(abs(char_error_rate - 0.454_545_454_545   ) < 1e-6   )

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





      def      a__				(self   ):

       '''simple docstring'''



       lowerCamelCase__	:     Optional[int]								=		['']
       lowerCamelCase__	:     Optional[int]								=		['Hypothesis']
       with self.assertRaises(lowerCamelCase_   ):
        cer.compute(predictions=lowerCamelCase_,	references=lowerCamelCase_   )


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

