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https://github.com/AtsushiSakai/PythonRobotics.git
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Fix pep8 indents
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@@ -82,13 +82,13 @@ class BidirectionalAStarPlanner:
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c_id_A = min(
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open_set_A,
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key=lambda o: self.find_lowest_cost(open_set_A, o, current_B))
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key=lambda o: self.find_total_cost(open_set_A, o, current_B))
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current_A = open_set_A[c_id_A]
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c_id_B = min(
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open_set_B,
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key=lambda o: self.find_lowest_cost(open_set_B, o, current_A))
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key=lambda o: self.find_total_cost(open_set_B, o, current_A))
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current_B = open_set_B[c_id_B]
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@@ -148,7 +148,7 @@ class BidirectionalAStarPlanner:
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if n_id_B in closed_set_B:
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continue_B = True
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if not(continue_A):
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if not continue_A:
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if n_id_A not in open_set_A:
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# discovered a new node
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open_set_A[n_id_A] = child_node_A
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@@ -157,7 +157,7 @@ class BidirectionalAStarPlanner:
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# This path is the best until now. record it
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open_set_A[n_id_A] = child_node_A
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if not(continue_B):
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if not continue_B:
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if n_id_B not in open_set_B:
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# discovered a new node
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open_set_B[n_id_B] = child_node_B
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@@ -202,10 +202,11 @@ class BidirectionalAStarPlanner:
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d = w * math.hypot(n1.x - n2.x, n1.y - n2.y)
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return d
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def find_lowest_cost(self, open_set, lambda_, n1):
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cost = open_set[lambda_].cost + \
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self.calc_heuristic(n1, open_set[lambda_])
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return cost
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def find_total_cost(self, open_set, lambda_, n1):
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g_cost = open_set[lambda_].cost
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h_cost = self.calc_heuristic(n1, open_set[lambda_])
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f_cost = g_cost + h_cost
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return f_cost
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def calc_grid_position(self, index, minp):
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"""
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