def test_dataReader(self):
reader = DataReader()
removal = OutliersRemoval(cutoff=150)
data_game, _ = reader.readGameResults(ASD_PATH)
data_gaze, _, _ = reader.readGazeData(ASD_PATH)
self.assertEqual(len(data_game), len(data_gaze))
# edges
xedges, yedges = np.arange(0, 101, 1), np.arange(0, 101, 1)
# x_grid, y_grid = np.mgrid[0:1:100j, 0:1:100j]
# positions = np.vstack([x_grid.ravel(), y_grid.ravel()])
for path in zip(game_paths, gaze_paths, result_paths):
game_path = path[0]
gaze_path = path[1]
result_path = path[2]
# read game data
data_game, game_f_names = reader.readGameResults(game_path)
data_game = removal.transformGameResult(
data_game) # remove response with RT less that TH
data_gaze, data_gaze_obj, gaze_f_names = reader.readGazeData(
gaze_path, downsample=True)
# data process
process = DataProcessor()
# dataframe for the results
columns = [
"id", "Go", "GoError", "NoGo", "NoGoError", "RT", "RTVar",
"Trajectory Area", "Velocity_avg", "Velocity_std", "Acceleration_avg",
"Acceleration_std", "Fixation_avg", "Fixation_std", "Distance_avg",
"Distance_std", "Angle_avg", "Angle_std", "Sampen_dist",
"Sampen_angle", "Spatial_entropy", "GazeObj_entropy",
"Sampen_gaze_obj", "Spectral_entropy", "Sampen_velocity",
"Sampen_acceleration"
]
from Conf.Settings import ASD_PATH, ASD_DW_PATH, MIN_D_N, CUT_OFF, TYPICAL_PATH, TYPICAL_DW_PATH
from scipy import interpolate
from statsmodels.tsa.ar_model import AR
max_lag = np.zeros(20)
max_llf = np.zeros(20)
aic_lag = np.zeros(20)
bic_lag = np.zeros(20)
# read game data
reader = DataReader()
removal = OutliersRemoval(cutoff=CUT_OFF)
# read typical data
typical_game, _ = reader.readGameResults(TYPICAL_PATH)
typical_game = removal.transformGameResult(typical_game)
_, typical_gaze_obj, _ = reader.readGazeData(TYPICAL_DW_PATH, downsample=True)
# read asd data
asd_game, _ = reader.readGameResults(ASD_PATH)
asd_game = removal.transformGameResult(asd_game)
_, asd_gaze_obj, _ = reader.readGazeData(ASD_DW_PATH, downsample=True)
data_game = typical_game + asd_game
data_gaze = typical_gaze_obj + asd_gaze_obj
for d in zip(data_game, data_gaze):
game = d[0]
gaze = d[1]
for _, data in game.iterrows():
response_time = data["ResponseTime"]