





'''simple docstring'''







from __future__ import annotations

_a   :					Optional[int]           =       list[tuple[int, int]]

_a   :					Union[str, Any]           =       [
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

_a   :					Optional[int]           =       ([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right





class        _UpperCAmelCase				:
		def __init__(    self,__SCREAMING_SNAKE_CASE,__SCREAMING_SNAKE_CASE,__SCREAMING_SNAKE_CASE,__SCREAMING_SNAKE_CASE,__SCREAMING_SNAKE_CASE,__SCREAMING_SNAKE_CASE,):



					'''simple docstring'''

					__lowerCAmelCase   		=							pos_x
					__lowerCAmelCase   		=							pos_y
					__lowerCAmelCase   		=							(pos_y, pos_x)
					__lowerCAmelCase   		=							goal_x
					__lowerCAmelCase   		=							goal_y
					__lowerCAmelCase   		=							g_cost
					__lowerCAmelCase   		=							parent
					__lowerCAmelCase   		=							self.calculate_heuristic()
		def     lowerCamelCase__     (    self     ):



					'''simple docstring'''

					__lowerCAmelCase   		=							abs(self.pos_x - self.goal_x     )
					__lowerCAmelCase   		=							abs(self.pos_y - self.goal_y     )
					return dx + dy







		def __lt__(    self,__SCREAMING_SNAKE_CASE     ):



					'''simple docstring'''

					return self.f_cost < other.f_cost





class        _UpperCAmelCase				:
		def __init__(    self,__SCREAMING_SNAKE_CASE,__SCREAMING_SNAKE_CASE     ):



					'''simple docstring'''

					__lowerCAmelCase   		=							Node(start[1],start[0],goal[1],goal[0],0,__SCREAMING_SNAKE_CASE     )
					__lowerCAmelCase   		=							Node(goal[1],goal[0],goal[1],goal[0],9_99_99,__SCREAMING_SNAKE_CASE     )

					__lowerCAmelCase   		=							[self.start]
					__lowerCAmelCase   		=							[]

					__lowerCAmelCase   		=							False
		def     lowerCamelCase__     (    self     ):



					'''simple docstring'''

					while self.open_nodes:
								# Open Nodes are sorted using __lt__
								self.open_nodes.sort()
								__lowerCAmelCase   		=							self.open_nodes.pop(0     )

								if current_node.pos == self.target.pos:
											__lowerCAmelCase   		=							True
											return self.retrace_path(__SCREAMING_SNAKE_CASE     )

								self.closed_nodes.append(__SCREAMING_SNAKE_CASE     )
								__lowerCAmelCase   		=							self.get_successors(__SCREAMING_SNAKE_CASE     )

								for child_node in successors:
											if child_node in self.closed_nodes:
														continue

											if child_node not in self.open_nodes:
														self.open_nodes.append(__SCREAMING_SNAKE_CASE     )
											else:
														# retrieve the best current path
														__lowerCAmelCase   		=							self.open_nodes.pop(self.open_nodes.index(__SCREAMING_SNAKE_CASE     )     )

														if child_node.g_cost < better_node.g_cost:
																	self.open_nodes.append(__SCREAMING_SNAKE_CASE     )
														else:
																	self.open_nodes.append(__SCREAMING_SNAKE_CASE     )

					if not self.reached:
								return [self.start.pos]
					return None
		def     lowerCamelCase__     (    self,__SCREAMING_SNAKE_CASE     ):



					'''simple docstring'''

					__lowerCAmelCase   		=							[]
					for action in delta:
								__lowerCAmelCase   		=							parent.pos_x + action[1]
								__lowerCAmelCase   		=							parent.pos_y + action[0]

								if not (0 <= pos_x <= len(grid[0]     ) - 1 and 0 <= pos_y <= len(__SCREAMING_SNAKE_CASE     ) - 1):
											continue

								if grid[pos_y][pos_x] != 0:
											continue

								successors.append(
								    Node(
								        __SCREAMING_SNAKE_CASE,__SCREAMING_SNAKE_CASE,self.target.pos_y,self.target.pos_x,parent.g_cost + 1,__SCREAMING_SNAKE_CASE,)     )
					return successors







		def     lowerCamelCase__     (    self,__SCREAMING_SNAKE_CASE     ):



					'''simple docstring'''

					__lowerCAmelCase   		=							node
					__lowerCAmelCase   		=							[]
					while current_node is not None:
								path.append((current_node.pos_y, current_node.pos_x)     )
								__lowerCAmelCase   		=							current_node.parent
					path.reverse()
					return path


if __name__ == "__main__":
	_a   :					List[Any]           =       (0, 0)
	_a   :					Dict           =       (len(grid) - 1, len(grid[0]) - 1)
	for elem in grid:
		print(elem)

	print("""------""")

	_a   :					int           =       GreedyBestFirst(init, goal)
	_a   :					Optional[Any]           =       greedy_bf.search()
	if path:
		for pos_x, pos_y in path:
			_a   :					List[Any]           =       2

		for elem in grid:
			print(elem)





'''simple docstring'''
import string
from math import logaa







def       a_				(	UpperCamelCase_						,  UpperCamelCase_ ):
							A_			    =		document.translate(
							    str.maketrans(""						,  ""						,  string.punctuation ) ).replace("\n"						,  "" )
							A_			    =		document_without_punctuation.split(" " )  # word tokenization
							return len([word for word in tokenize_document if word.lower() == term.lower()] )







def       a_				(	UpperCamelCase_						,  UpperCamelCase_ ):
							A_			    =		corpus.lower().translate(
							    str.maketrans(""						,  ""						,  string.punctuation ) )  # strip all punctuation and replace it with ''
							A_			    =		corpus_without_punctuation.split("\n" )
							A_			    =		term.lower()
							return (len([doc for doc in docs if term in doc] ), len(UpperCamelCase_ ))







def       a_				(	UpperCamelCase_						,  UpperCamelCase_						,  UpperCamelCase_=False ):
							if smoothing:
														if n == 0:
																					raise ValueError("log10(0) is undefined." )
														return round(1 + logaa(n / (1 + df) )						,  3 )

							if df == 0:
														raise ZeroDivisionError("df must be > 0" )
							elif n == 0:
														raise ValueError("log10(0) is undefined." )
							return round(logaa(n / df )						,  3 )







def       a_				(	UpperCamelCase_						,  UpperCamelCase_ ):
							return round(tf * idf						,  3 )





