




'''simple docstring'''





from dataclasses import dataclass

_SCREAMING_SNAKE_CASE							:     Tuple   	=				'''0.1'''
_SCREAMING_SNAKE_CASE							:     Optional[Any]   	=				'''Lucia Harcekova'''




@dataclass
class 				_snake_case	:
			lowerCAmelCase_  :   int
			lowerCAmelCase_  :   int
			lowerCAmelCase_  :   str




			def __repr__(      self							)       ->       str:

										'''simple docstring'''




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





class 				_snake_case	:




			def __init__(      self       ,							a__ = 13       ,							a__ = 6							)       ->       None:

										'''simple docstring'''




										snake_case_			      =   window_size
										snake_case_			      =   lookahead_buffer_size
										snake_case_			      =   self.window_size - self.lookahead_buffer_size




			def      lowerCAmelCase__       (      self       ,							a__							)       ->       list[Token]:

										'''simple docstring'''




										snake_case_			      =   []
										snake_case_			      =   ''

										# 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)
																	snake_case_			      =   self._find_encoding_token(_A       ,							_A							)

																	# 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(_A							) > self.search_buffer_size:
																								snake_case_			      =   search_buffer[-self.search_buffer_size :]

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

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

										return output




			def      lowerCAmelCase__       (      self       ,							a__							)       ->       str:

										'''simple docstring'''




										snake_case_			      =   ''

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

										return output




			def      lowerCAmelCase__       (      self       ,							a__       ,							a__							)       ->       Token:

										'''simple docstring'''




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

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

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

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

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




			def      lowerCAmelCase__       (      self       ,							a__       ,							a__       ,							a__       ,							a__							)       ->       int:

										'''simple docstring'''




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


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

		testmod()
		# Initialize compressor class
		_SCREAMING_SNAKE_CASE							:     List[Any]   	=				LZaaCompressor(window_size=13, lookahead_buffer_size=6)

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










'''simple docstring'''





import heapq


def   UpperCamelCase_(			snake_case							: List[Any]							,       snake_case							: List[str]							,       snake_case							: Dict  ):

							'''simple docstring'''






							snake_case_			      =   [(0, start)]  # cost from start node,end node
							snake_case_			      =   set()
							while heap:
														((snake_case_)      ,   (snake_case_))			      =   heapq.heappop(snake_case  )
														if u in visited:
																					continue
														visited.add(snake_case  )
														if u == end:
																					return cost
														for v, c in graph[u]:
																					if v in visited:
																												continue
																					snake_case_			      =   cost + c
																					heapq.heappush(snake_case							,       (next_item, v)  )
							return -1


_SCREAMING_SNAKE_CASE							:     Dict   	=				{
    "A": [["B", 2], ["C", 5]],
    "B": [["A", 2], ["D", 3], ["E", 1], ["F", 1]],
    "C": [["A", 5], ["F", 3]],
    "D": [["B", 3]],
    "E": [["B", 4], ["F", 3]],
    "F": [["C", 3], ["E", 3]],
}
_SCREAMING_SNAKE_CASE							:     Optional[int]   	=				{
    "B": [["C", 1]],
    "C": [["D", 1]],
    "D": [["F", 1]],
    "E": [["B", 1], ["F", 3]],
    "F": [],
}
_SCREAMING_SNAKE_CASE							:     Any   	=				{
    "B": [["C", 1]],
    "C": [["D", 1]],
    "D": [["F", 1]],
    "E": [["B", 1], ["G", 2]],
    "F": [],
    "G": [["F", 1]],
}

_SCREAMING_SNAKE_CASE							:     Tuple   	=				dijkstra(G, "E", "C")
print(short_distance)  # E -- 3 --> F -- 3 --> C == 6

_SCREAMING_SNAKE_CASE							:     str   	=				dijkstra(Ga, "E", "F")
print(short_distance)  # E -- 3 --> F == 3

_SCREAMING_SNAKE_CASE							:     List[Any]   	=				dijkstra(Ga, "E", "F")
print(short_distance)  # E -- 2 --> G -- 1 --> F == 3

if __name__ == "__main__":
		import doctest

		doctest.testmod()




