def read_csv_data(file="data/product_boxes.csv"):
product_boxes = []
with open(file, 'r') as csvfile:
reader = csv.DictReader(csvfile, delimiter=',')
for row in reader:
count = int(row['count'])
index = 0
while index < count:
product_boxes.append(
Cuboid(
Point.from_scalars(int(row['width']),
int(row['depth']),
int(row['height']))))
index += 1
return product_boxes
float(placement_solution.box_id) /
len(delivery_bins[del_bin]),
float(placement_solution.box_id) /
len(delivery_bins[del_bin]), 1))
plt.show()
def plot_placements(container_bin, placements, plot_spaces=False):
g = plot_container(container_bin)
for i, product_placement in enumerate(placements):
if product_placement:
draw_placement(g, product_placement,
((float(i + 1) / len(placements)), 0, 0, 0))
if plot_spaces:
for empty_space in container_bin.empty_space_list:
if empty_space:
draw_space(g, empty_space, empty_color)
plt.show()
if __name__ == '__main__':
spec = Cuboid(Point.from_scalars(30, 30, 30))
container_ = Container(spec)
g = plot_container(container_)
g.view_init(elev=30., azim=60)
b = Point(np.array([5, 5, 5]))
d = Point(np.array([3, 2, 3]))
s = Space(d, b)
draw_space(g, s, product_color)
plt.show()