`stp.testing`

Module Contents

`generate_test_robot`(robot_id[, is_ours, pose, twist, ...])	Returns a robot with default options for use in testing
`generate_test_ball`([pos, vel, visible])
`generate_divA_field`()	Generate a division A field
`generate_divB_field`()	Generate a division B field
`generate_our_field`()	Generates the practice field that we have
`generate_test_playing_gameinfo`()
`generate_test_worldstate`([our_robots, their_robots, ...])	generates a test worldstate

stp.testing.generate_test_robot(robot_id: RobotId, is_ours: bool = True, pose: numpy.ndarray = np.array([0.0, 0.0, 0.0]), twist: numpy.ndarray = np.array([0.0, 0.0, 0.0]), has_ball_sense=False): Returns a robot with default options for use in testing

stp.testing.generate_test_ball(pos: numpy.ndarray = np.array([0.0, 0.0]), vel: numpy.ndarray = np.array([0.0, 0.0]), visible: bool = True)

stp.testing.generate_divA_field()

Generate a division A field

Penalty distances and “goal_flat” need to be fixed

stp.testing.generate_divB_field()

Generate a division B field

Penalty distances and “goal_flat” need to be fixea

Note, penalty distances are width and deapth of the penalty area

stp.testing.generate_our_field(): Generates the practice field that we have

stp.testing.generate_test_worldstate(our_robots=[], their_robots=[], ball=generate_test_ball(), game_info=generate_test_playing_gameinfo(), field=generate_divB_field(), goalie_id=0): generates a test worldstate