



"""simple docstring"""







from dataclasses import dataclass

A     =      '0.1'
A     =      'Lucia Harcekova'






@dataclass
class   UpperCAmelCase__		:
		lowerCAmelCase_							:						int
		lowerCAmelCase_							:						int
		lowerCAmelCase_							:						str



		def __repr__(			self	:     int					)      ->    Optional[Any]:






									'''simple docstring'''

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






class   UpperCAmelCase__		:



		def __init__(			self	:     List[Any]   ,				snake_case	:     int = 13   ,				snake_case	:     int = 6					)      ->    Tuple:






									'''simple docstring'''

									A    =       window_size
									A    =       lookahead_buffer_size
									A    =       self.window_size - self.lookahead_buffer_size



		def        A_		(			self	:     List[Any]   ,				snake_case	:     str					)      ->    List[Any]:






									'''simple docstring'''

									A    =       []
									A    =       """"""

									# 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    =       self._find_encoding_token(UpperCAmelCase__   ,				UpperCAmelCase__					)

																# 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(UpperCAmelCase__					) > self.search_buffer_size:
																							A    =       search_buffer[-self.search_buffer_size :]

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

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

									return output



		def        A_		(			self	:     Union[str, Any]   ,				snake_case	:     list[Token]					)      ->    List[Any]:






									'''simple docstring'''

									A    =       """"""

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

									return output



		def        A_		(			self	:     int   ,				snake_case	:     str   ,				snake_case	:     str					)      ->    str:






									'''simple docstring'''

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

									# Initialise result parameters to default values
									A    =       0, 0

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

									for i, character in enumerate(UpperCAmelCase__					):
																A    =       len(UpperCAmelCase__					) - i
																if character == text[0]:
																							A    =       self._match_length_from_index(UpperCAmelCase__   ,				UpperCAmelCase__   ,				0   ,				UpperCAmelCase__					)
																							# 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    =       found_offset, found_length

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



		def        A_		(			self	:     List[str]   ,				snake_case	:     str   ,				snake_case	:     str   ,				snake_case	:     int   ,				snake_case	:     int					)      ->    Optional[int]:






									'''simple docstring'''

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


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

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

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











from datetime import date

import requests

a 			=							'https://api.carbonintensity.org.uk/intensity'
def    a__    (	):
   lowercase__    :						Union[str, Any]       =			requests.get(A       ).json()["""data"""][0]
   return last_half_hour["intensity"]["actual"]
def    a__    (	A		,					A       ):
   return requests.get(F'''{BASE_URL}/{start}/{end}'''       ).json()["data"]


if __name__ == "__main__":
 for entry in fetch_from_to(start=date(2020, 10, 1), end=date(2020, 10, 3)):
  print('from {from} to {to}: {intensity[actual]}'.format(**entry))
 print(F'{fetch_last_half_hour() = }')


