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delete old commented out tests
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tests/test_smoothing.py

Lines changed: 0 additions & 198 deletions
Original file line numberDiff line numberDiff line change
@@ -30,204 +30,6 @@ def test__init__(self, ains):
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assert smoother.bias_acc().size == 0
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assert smoother.bias_gyro().size == 0
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# def test_benchmark_ains(self):
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# fs_imu = 10.0
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# fs_aiding = 1.0
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# fs_ratio = np.ceil(fs_imu / fs_aiding)
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# warmup = int(fs_imu * 600.0) # truncate 600 seconds from the beginning
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# compass_noise_std = 0.5
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# gps_noise_std = 0.1
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# vel_noise_std = 0.1
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# # Reference signals (without noise)
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# t, pos_ref, vel_ref, euler_ref, acc_ref, gyro_ref = benchmark_full_pva_beat_202311A(fs_imu)
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# euler_ref = np.degrees(euler_ref)
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# gyro_ref = np.degrees(gyro_ref)
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# rng = np.random.default_rng(seed=1)
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# # IMU measurements (with noise)
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# err_acc = sf.constants.ERR_ACC_MOTION2
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# err_gyro = sf.constants.ERR_GYRO_MOTION2
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# noise_model = sf.noise.IMUNoise(err_acc, err_gyro, seed=0)
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# imu_noise = noise_model(fs_imu, len(t))
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# acc_meas = acc_ref + imu_noise[:, :3]
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# gyro_meas = gyro_ref + np.degrees(imu_noise[:, 3:])
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# # Compass / heading (aiding) measurements
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# head_noise = compass_noise_std * rng.standard_normal(len(t))
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# head_meas = euler_ref[:, 2] + head_noise
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# # GPS / position (aiding) measurements
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# pos_noise = gps_noise_std * rng.standard_normal((len(t), 3))
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# pos_meas = pos_ref + pos_noise
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# # Velocity (aiding) measurements
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# vel_noise = vel_noise_std * rng.standard_normal((len(t), 3))
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# vel_meas = vel_ref + vel_noise
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# # MEKF
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# p0 = pos_ref[0] # position [m]
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# v0 = vel_ref[0] # velocity [m/s]
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# q0 = sf.quaternion_from_euler(euler_ref[0], degrees=True) # attitude as unit quaternion
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# ba0 = np.zeros(3) # accelerometer bias [m/s^2]
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# bg0 = np.zeros(3) # gyroscope bias [rad/s]
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# x0 = np.concatenate((p0, v0, q0, ba0, bg0))
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# P0 = sf.constants.P0
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# ains = sf.AidedINS(fs_imu, x0, P0, err_acc, err_gyro)
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# smoother = FixedIntervalSmoother(ains, cov_smoothing=True)
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# pos_ains, vel_ains, euler_ains, bias_acc_ains, bias_gyro_ains = [], [], [], [], []
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# for i, (acc_i, gyro_i, pos_i, vel_i, head_i) in enumerate(
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# zip(acc_meas, gyro_meas, pos_meas, vel_meas, head_meas)
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# ):
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# if not (i % fs_ratio): # with aiding
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# smoother.update(
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# acc_i,
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# gyro_i,
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# degrees=True,
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# pos=pos_i,
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# pos_var=gps_noise_std**2 * np.ones(3),
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# vel=vel_i,
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# vel_var=vel_noise_std**2 * np.ones(3),
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# head=head_i,
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# head_var=compass_noise_std**2,
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# head_degrees=True,
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# g_ref=True,
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# g_var=0.1**2 * np.ones(3),
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# )
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# else: # without aiding
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# smoother.update(acc_i, gyro_i, degrees=True)
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# pos_ains.append(smoother.ains.position())
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# vel_ains.append(smoother.ains.velocity())
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# euler_ains.append(smoother.ains.euler(degrees=True))
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# bias_acc_ains.append(smoother.ains.bias_acc())
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# bias_gyro_ains.append(smoother.ains.bias_gyro(degrees=True))
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# pos_ains = np.array(pos_ains)
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# vel_ains = np.array(vel_ains)
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# euler_ains = np.array(euler_ains)
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# bias_acc_ains = np.array(bias_acc_ains)
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# bias_gyro_ains = np.array(bias_gyro_ains)
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# pos_smth = smoother.position()
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# vel_smth = smoother.velocity()
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# euler_smth = smoother.euler(degrees=True)
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# bias_acc_smth = smoother.bias_acc()
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# bias_gyro_smth = smoother.bias_gyro(degrees=True)
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# pos_smth = np.array(pos_smth)
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# vel_smth = np.array(vel_smth)
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# euler_smth = np.array(euler_smth)
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# bias_acc_smth = np.array(bias_acc_smth)
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# bias_gyro_smth = np.array(bias_gyro_smth)
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# # Half-sample shift (compensates for the delay introduced by Euler integration)
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# pos_ains = resample_poly(pos_ains, 2, 1)[1:-1:2]
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# pos_smth = resample_poly(pos_smth, 2, 1)[1:-1:2]
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# pos_ref = pos_ref[:-1, :]
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# vel_ains = resample_poly(vel_ains, 2, 1)[1:-1:2]
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# vel_smth = resample_poly(vel_smth, 2, 1)[1:-1:2]
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# vel_ref = vel_ref[:-1, :]
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# euler_ains = resample_poly(euler_ains, 2, 1)[1:-1:2]
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# euler_smth = resample_poly(euler_smth, 2, 1)[1:-1:2]
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# euler_ref = euler_ref[:-1, :]
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# pos_err_smth = np.std((pos_smth - pos_ref)[warmup:], axis=0)
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# pos_err_ains = np.std((pos_ains - pos_ref)[warmup:], axis=0)
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# np.testing.assert_array_less(pos_err_smth, pos_err_ains)
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# vel_err_smth = np.std((vel_smth - vel_ref)[warmup:], axis=0)
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# vel_err_ains = np.std((vel_ains - vel_ref)[warmup:], axis=0)
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# np.testing.assert_array_less(vel_err_smth, vel_err_ains)
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# euler_err_smth = np.std((euler_smth - euler_ref)[warmup:], axis=0)
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# euler_err_ains = np.std((euler_ains - euler_ref)[warmup:], axis=0)
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# np.testing.assert_array_less(euler_err_smth, euler_err_ains)
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# def test_benchmark_ahrs(self):
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# fs_imu = 10.0
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# fs_aiding = 1.0
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# fs_ratio = np.ceil(fs_imu / fs_aiding)
154-
# warmup = int(fs_imu * 600.0) # truncate 600 seconds from the beginning
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# compass_noise_std = 0.5
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# gps_noise_std = 0.1
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# vel_noise_std = 0.1
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# # Reference signals (without noise)
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# t, pos_ref, vel_ref, euler_ref, acc_ref, gyro_ref = benchmark_full_pva_beat_202311A(fs_imu)
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# euler_ref = np.degrees(euler_ref)
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# gyro_ref = np.degrees(gyro_ref)
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# rng = np.random.default_rng(seed=1)
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# # IMU measurements (with noise)
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# err_acc = sf.constants.ERR_ACC_MOTION2
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# err_gyro = sf.constants.ERR_GYRO_MOTION2
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# noise_model = sf.noise.IMUNoise(err_acc, err_gyro, seed=0)
170-
# imu_noise = noise_model(fs_imu, len(t))
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# acc_meas = acc_ref + imu_noise[:, :3]
172-
# gyro_meas = gyro_ref + np.degrees(imu_noise[:, 3:])
173-
174-
# # Compass / heading (aiding) measurements
175-
# head_noise = compass_noise_std * rng.standard_normal(len(t))
176-
# head_meas = euler_ref[:, 2] + head_noise
177-
178-
# # GPS / position (aiding) measurements
179-
# pos_noise = gps_noise_std * rng.standard_normal((len(t), 3))
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# pos_meas = pos_ref + pos_noise
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# # Velocity (aiding) measurements
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# vel_noise = vel_noise_std * rng.standard_normal((len(t), 3))
184-
# vel_meas = vel_ref + vel_noise
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# # MEKF
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# p0 = pos_ref[0] # position [m]
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# v0 = vel_ref[0] # velocity [m/s]
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# q0 = sf.quaternion_from_euler(euler_ref[0], degrees=True) # attitude as unit quaternion
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# ba0 = np.zeros(3) # accelerometer bias [m/s^2]
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# bg0 = np.zeros(3) # gyroscope bias [rad/s]
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# x0 = np.concatenate((p0, v0, q0, ba0, bg0))
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# P0 = sf.constants.P0
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# ains = sf.AHRS(fs_imu, x0, P0, err_acc, err_gyro) # AHRS
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# smoother = FixedIntervalSmoother(ains, cov_smoothing=True)
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# pos_ains, vel_ains, euler_ains, bias_acc_ains, bias_gyro_ains = [], [], [], [], []
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# for i, (acc_i, gyro_i, pos_i, vel_i, head_i) in enumerate(
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# zip(acc_meas, gyro_meas, pos_meas, vel_meas, head_meas)
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# ):
202-
# if not (i % fs_ratio): # with aiding
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# smoother.update(
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# acc_i,
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# gyro_i,
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# degrees=True,
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# head=head_i,
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# head_var=compass_noise_std**2,
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# head_degrees=True,
210-
# )
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# else: # without aiding
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# smoother.update(acc_i, gyro_i, degrees=True)
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# euler_ains.append(smoother.ains.euler(degrees=True))
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# euler_ains = np.array(euler_ains)
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# euler_smth = smoother.euler(degrees=True)
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# euler_smth = np.array(euler_smth)
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# # Half-sample shift (compensates for the delay introduced by Euler integration)
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# euler_ains = resample_poly(euler_ains, 2, 1)[1:-1:2]
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# euler_smth = resample_poly(euler_smth, 2, 1)[1:-1:2]
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# euler_ref = euler_ref[:-1, :]
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# euler_err_smth = np.std((euler_smth - euler_ref)[warmup:], axis=0)
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# euler_err_ains = np.std((euler_ains - euler_ref)[warmup:], axis=0)
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# np.testing.assert_array_less(euler_err_smth, euler_err_ains)
230-
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def test_benchmark_ains(self):
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# Reference signal
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fs = 10.24 # sampling rate in Hz

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