finish extra/bringing-a-gun-to-a-trainer-fight #9
@ -1,21 +1,26 @@
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def solution(dimentions, your_position, trainer_position, distance):
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direction_target_map = {}
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for reflected_position, is_trainer in generate_reflected_positions(dimentions, your_position, trainer_position, distance):
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direction = reduce_direction((reflected_position[0] - your_position[0], reflected_position[1] - your_position[1]))
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travel = travel_distance(your_position, reflected_position)
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for reflected_position, direction, length, is_trainer in generate_reflected_positions(dimentions, your_position, trainer_position, distance):
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if (direction in direction_target_map):
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if travel < direction_target_map[direction][0]:
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direction_target_map[direction] = (travel, is_trainer)
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if length < direction_target_map[direction][0]:
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direction_target_map[direction] = (length, is_trainer)
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else:
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direction_target_map[direction] = (travel, is_trainer)
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direction_target_map[direction] = (length, is_trainer)
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return len([k for k, (d, is_trainer) in direction_target_map.items() if is_trainer])
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def generate_room_id(max):
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for room_id in range(max):
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yield room_id
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for room_id in range(max):
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yield - room_id - 1
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def generate_reflected_positions(dimentions, your_position, trainer_position, distance):
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memo = {}
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room_width, room_height = dimentions
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x_range = distance // room_width + 1
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y_range = distance // room_height + 1
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for room_x in range(-x_range, x_range):
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for room_y in range(-y_range, y_range):
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for room_x in generate_room_id(x_range):
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for room_y in generate_room_id(y_range):
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x_reflected = room_x % 2 == 1
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y_reflected = room_y % 2 == 1
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x_base, y_base = room_x*room_width, room_y*room_height
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@ -29,12 +34,18 @@ def generate_reflected_positions(dimentions, your_position, trainer_position, di
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trainer_y_offset = room_height - trainer_y_offset
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reflected_your_position = x_base + your_x_offset, y_base + your_y_offset
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reflected_trainer_position = x_base + trainer_x_offset, y_base + trainer_y_offset
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reflected_your_distance = travel_distance(your_position, reflected_your_position)
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reflected_trainer_distance = travel_distance(your_position, reflected_trainer_position)
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if reflected_your_distance <= distance:
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yield reflected_your_position, False
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if reflected_trainer_distance <= distance:
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yield reflected_trainer_position, True
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reflected_your_direction = calc_direction(your_position, reflected_your_position)
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reflected_trainer_direction = calc_direction(your_position, reflected_trainer_position)
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if reflected_your_direction not in memo:
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reflected_your_distance = line_length(your_position, reflected_your_position)
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if reflected_your_distance <= distance:
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yield reflected_your_position, reflected_your_direction, reflected_your_distance, False
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if reflected_trainer_direction not in memo:
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reflected_trainer_distance = line_length(your_position, reflected_trainer_position)
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if reflected_trainer_distance <= distance:
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yield reflected_trainer_position, reflected_trainer_direction, reflected_trainer_distance, True
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memo[reflected_your_direction] = 0
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memo[reflected_trainer_direction] = 0
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def abs_gcd(x, y):
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m, n = abs(x), abs(y)
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@ -43,6 +54,9 @@ def abs_gcd(x, y):
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m, n = n, t
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return abs(m)
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def calc_direction(origin, target):
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return reduce_direction((target[0] - origin[0], target[1] - origin[1]))
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def reduce_direction(direction):
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if direction[0] == 0 and direction[1] == 0:
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return 0, 0
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@ -53,7 +67,7 @@ def reduce_direction(direction):
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gcd = abs_gcd(direction[0], direction[1])
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return direction[0]/gcd, direction[1]/gcd
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def travel_distance(origin, target):
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def line_length(origin, target):
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return ((target[0] - origin[0])**2 + (target[1] - origin[1])**2) ** 0.5
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tests = [
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