def test_example_distances_calculated_correctly(self): wall_bounds = ((-2, 4), (-1, 3), (-3, 4)) positions = np.array([[-1., 1, 1], [-2., 1, 1], [-2., 0.5, 1], [-3., 0.25, 1], [-3, -0.5, 1]]) d_correct = np.array([1, 0, 0, -1, -1]) d = kinematics.distance_from_wall(positions, wall_bounds) np.testing.assert_array_almost_equal(d, d_correct) positions = np.array([[0., 0, 0], [1, 0, 5], [1, 0, 0], [0, -2, 0], [0, -2, -3]]) d_correct = np.array([1., -1, 1, -1, -1]) d = kinematics.distance_from_wall(positions, wall_bounds) np.testing.assert_array_almost_equal(d, d_correct)
def main(): # loop over all experiments for expt in session.query(models.Experiment): print("In experiment '{}'".format(expt.id)) dt = 1 / expt.sampling_frequency for traj in session.query( models.Trajectory).filter_by(experiment=expt): positions = traj.positions(session) velocities = traj.velocities(session) # calculate kinematic quantities velocities_a = kinematics.norm(velocities) accelerations = kinematics.acceleration(velocities, dt) accelerations_a = kinematics.norm(accelerations) headings = kinematics.heading(velocities) angular_velocities = kinematics.angular_velocity(velocities, dt) angular_velocities_a = kinematics.norm(angular_velocities) angular_accelerations = kinematics.acceleration( angular_velocities, dt) angular_accelerations_a = kinematics.norm(angular_accelerations) distance_from_wall = kinematics.distance_from_wall( positions, WALL_BOUNDS) # store kinematic quantities in timepoints for ctr, tp in enumerate(traj.timepoints(session)): tp.velocity_a = velocities_a[ctr] tp.acceleration_x, tp.acceleration_y, tp.acceleration_z = accelerations[ ctr] tp.acceleration_a = accelerations_a[ctr] tp.heading_xy, tp.heading_xz, tp.heading_xyz = headings[ctr] tp.angular_velocity_x, tp.angular_velocity_y, tp.angular_velocity_z = angular_velocities[ ctr] tp.angular_velocity_a = angular_velocities_a[ctr] tp.angular_acceleration_x, tp.angular_acceleration_y, tp.angular_acceleration_z = angular_accelerations[ ctr] tp.angular_acceleration_a = angular_accelerations_a[ctr] tp.distance_from_wall = distance_from_wall[ctr] session.add(tp) commit(session)
def main(): # loop over all experiments for expt in session.query(models.Experiment): print("In experiment '{}'".format(expt.id)) dt = 1 / expt.sampling_frequency for traj in session.query(models.Trajectory).filter_by(experiment=expt): positions = traj.positions(session) velocities = traj.velocities(session) # calculate kinematic quantities velocities_a = kinematics.norm(velocities) accelerations = kinematics.acceleration(velocities, dt) accelerations_a = kinematics.norm(accelerations) headings = kinematics.heading(velocities) angular_velocities = kinematics.angular_velocity(velocities, dt) angular_velocities_a = kinematics.norm(angular_velocities) angular_accelerations = kinematics.acceleration(angular_velocities, dt) angular_accelerations_a = kinematics.norm(angular_accelerations) distance_from_wall = kinematics.distance_from_wall(positions, WALL_BOUNDS) # store kinematic quantities in timepoints for ctr, tp in enumerate(traj.timepoints(session)): tp.velocity_a = velocities_a[ctr] tp.acceleration_x, tp.acceleration_y, tp.acceleration_z = accelerations[ctr] tp.acceleration_a = accelerations_a[ctr] tp.heading_xy, tp.heading_xz, tp.heading_xyz = headings[ctr] tp.angular_velocity_x, tp.angular_velocity_y, tp.angular_velocity_z = angular_velocities[ctr] tp.angular_velocity_a = angular_velocities_a[ctr] tp.angular_acceleration_x, tp.angular_acceleration_y, tp.angular_acceleration_z = angular_accelerations[ctr] tp.angular_acceleration_a = angular_accelerations_a[ctr] tp.distance_from_wall = distance_from_wall[ctr] session.add(tp) commit(session)