track_geometry.py

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import numpy as np

INNER_WALLS = np.array((
    (-12.88, 1.39),
    (-13.97, 1.68),
    (-14.47, 1.93),
    (-15.37, 2.62),
    (-16.05, 3.51),
    (-16.48, 4.55),
    (-16.63, 5.67),
    (-16.63, 6.67),
    (-16.76, 7.70),
    (-17.54, 9.80),
    (-17.63, 10.67),
    (-17.63, 12.67),
    (-17.55, 13.26),
    (-17.45, 13.55),
    (-17.15, 14.07),
    (-16.72, 14.50),
    (-16.20, 14.80),
    (-15.62, 14.96),
    (-15.32, 14.97),
    (-14.20, 14.83),
    (-13.16, 14.40),
    (-12.27, 13.71),
    (-3.34, 4.64),
    (-2.78, 4.15),
    (-1.50, 3.41),
    (-0.06, 3.02),
    (1.41, 3.02),
    (2.85, 3.41),
    (3.52, 3.74),
    (4.70, 4.64),
    (5.60, 5.82),
    (5.93, 6.49),
    (6.31, 7.92),
    (6.33, 9.15),
    (6.08, 10.08),
    (5.60, 10.91),
    (4.92, 11.59),
    (4.08, 12.07),
    (3.15, 12.32),
    (2.67, 12.36),
    (-1.32, 12.36),
    (-1.36, 12.36),
    (-1.44, 12.38),
    (-1.51, 12.42),
    (-1.56, 12.48),
    (-1.60, 12.55),
    (-1.63, 12.62),
    (-1.63, 12.67),
    (-1.63, 14.67),
    (-1.63, 14.71),
    (-1.60, 14.78),
    (-1.56, 14.85),
    (-1.51, 14.91),
    (-1.44, 14.95),
    (-1.40, 14.96),
    (-1.32, 14.97),
    (8.67, 14.97),
    (8.71, 14.97),
    (8.79, 14.95),
    (8.86, 14.91),
    (8.89, 14.88),
    (10.89, 12.88),
    (10.92, 12.85),
    (10.96, 12.78),
    (10.98, 12.71),
    (10.98, 12.67),
    (10.98, 4.67),
    (10.94, 4.10),
    (10.65, 3.02),
    (10.40, 2.51),
    (9.72, 1.62),
    (8.83, 0.93),
    (8.32, 0.68),
    (7.23, 0.39),
    (6.67, 0.36),
    (-5.32, 0.36),
    (-6.35, 0.48),
    (-8.63, 1.30),
    (-9.32, 1.36),
    (-12.32, 1.36),
    (-12.88, 1.39),
))

OUTER_WALLS = np.array((
    (12.01, 13.69),
    (12.23, 13.31),
    (12.35, 12.89),
    (12.36, 12.67),
    (12.36, 4.67),
    (12.31, 3.92),
    (11.93, 2.49),
    (11.60, 1.82),
    (10.70, 0.64),
    (9.52, -0.25),
    (8.85, -0.58),
    (7.41, -0.97),
    (6.67, -1.02),
    (-5.32, -1.02),
    (-5.84, -0.98),
    (-8.29, -0.14),
    (-9.32, -0.02),
    (-12.32, -0.02),
    (-13.79, 0.17),
    (-15.16, 0.74),
    (-16.34, 1.64),
    (-17.25, 2.82),
    (-17.81, 4.19),
    (-18.01, 5.67),
    (-18.01, 6.67),
    (-18.14, 7.70),
    (-18.98, 10.15),
    (-19.01, 10.67),
    (-19.01, 12.67),
    (-18.98, 13.15),
    (-18.73, 14.08),
    (-18.51, 14.51),
    (-17.93, 15.27),
    (-17.56, 15.59),
    (-16.73, 16.07),
    (-15.80, 16.32),
    (-14.58, 16.31),
    (-13.14, 15.92),
    (-11.85, 15.18),
    (-11.29, 14.69),
    (-2.37, 5.62),
    (-1.47, 4.93),
    (-0.97, 4.68),
    (0.11, 4.39),
    (1.23, 4.39),
    (1.79, 4.50),
    (2.83, 4.93),
    (3.72, 5.62),
    (4.40, 6.51),
    (4.65, 7.02),
    (4.94, 8.10),
    (4.96, 8.97),
    (4.81, 9.55),
    (4.50, 10.07),
    (4.30, 10.30),
    (3.83, 10.67),
    (3.56, 10.80),
    (2.97, 10.96),
    (2.67, 10.97),
    (-1.32, 10.97),
    (-1.54, 10.99),
    (-1.97, 11.10),
    (-2.35, 11.32),
    (-2.66, 11.64),
    (-2.88, 12.02),
    (-2.95, 12.23),
    (-3.01, 12.67),
    (-3.01, 14.67),
    (-2.95, 15.10),
    (-2.88, 15.31),
    (-2.66, 15.69),
    (-2.35, 16.01),
    (-1.97, 16.23),
    (-1.76, 16.30),
    (-1.32, 16.36),
    (8.67, 16.36),
    (8.89, 16.34),
    (9.32, 16.23),
    (9.70, 16.01),
    (9.87, 15.86),
    (11.87, 13.86),
    (12.01, 13.69),
))

PATH = np.array((
    (2.64, -0.36),
    (6.08, -0.33),
    (7.64, -0.15),
    (9.10, 0.41),
    (10.31, 1.39),
    (11.13, 2.72),
    (11.56, 4.23),
    (11.67, 5.79),
    (11.65, 12.07),
    (11.14, 13.52),
    (10.05, 14.65),
    (8.73, 15.48),
    (7.18, 15.66),
    (-0.67, 15.70),
    (-2.06, 15.14),
    (-2.39, 13.68),
    (-1.97, 12.11),
    (-1.48, 11.79),
    (-0.73, 11.67),
    (2.41, 11.68),
    (3.88, 11.34),
    (5.05, 10.33),
    (5.60, 8.88),
    (5.44, 7.37),
    (4.78, 5.96),
    (3.76, 4.83),
    (2.39, 4.06),
    (0.86, 3.76),
    (-0.67, 3.98),
    (-2.08, 4.66),
    (-3.31, 5.63),
    (-9.86, 12.40),
    (-12.18, 14.53),
    (-13.41, 15.26),
    (-14.93, 15.60),
    (-16.46, 15.35),
    (-17.66, 14.38),
    (-18.21, 12.93),
    (-18.30, 11.36),
    (-18.11, 9.81),
    (-17.35, 6.88),
    (-17.28, 5.31),
    (-16.91, 3.80),
    (-16.07, 2.48),
    (-14.89, 1.53),
    (-13.44, 0.92),
    (-11.90, 0.65),
    (-9.02, 0.66),
    (-6.00, -0.17),
    (2.64, -0.36))
)