def testExperimentDesign(self):
check = 0
try:
generateCompatibleFormat(
exp_path=os.path.abspath("tests/NTU_Experiment"),
device="eyelink",
stim_list_mode='NA',
start='start_trial',
stop='stop_trial',
eye='B')
check = 1
finally:
self.assertEqual(check, 1)
check = 0
try:
exp = Experiment(json_file=os.path.abspath(
"tests/NTU_Experiment/NTU_Experiment.json"))
check = 1
finally:
self.assertEqual(check, 1)
check = 0
try:
exp.metaMatrixInitialisation(standardise_flag=False,
average_flag=False)
check = 1
finally:
self.assertEqual(check, 1)
check = 0
try:
exp.analyse(parameter_list={"all"},
between_factor_list=["Subject_type", "Gender"],
within_factor_list=["Stimuli_type"],
statistical_test="anova",
file_creation=True)
exp.analyse(parameter_list={"all"},
statistical_test="anova",
file_creation=True)
exp.analyse(parameter_list={"all"},
statistical_test="ttest",
file_creation=True)
exp.analyse(parameter_list={"all"},
statistical_test="RM_anova",
file_creation=True)
exp.analyse(statistical_test="None", file_creation=True)
check = 1
finally:
self.assertEqual(check, 1)
check = 0
try:
subject_name = "sub_222"
stimulus_name = "Alpha1"
single_meta = exp.getMetaData(sub=subject_name, stim=stimulus_name)
agg_type_meta = exp.getMetaData(sub=subject_name, stim=None)
check = 1
finally:
self.assertEqual(check, 1)
def testStandaloneDesign(self):
check = 0
try:
generateCompatibleFormat(exp_path=os.path.abspath(
"tests/NTU_Experiment/Data/sub_222.asc"),
device="eyelink",
stim_list_mode='NA',
start='start_trial',
stop='stop_trial',
eye='B')
generateCompatibleFormat(exp_path=os.path.abspath(
"tests/NTU_Experiment/smi_eyetracker_freeviewing.txt"),
device="smi",
stim_list_mode='NA',
start='12',
stop='99')
generateCompatibleFormat(exp_path=os.path.abspath(
"tests/NTU_Experiment/tobii_sceneviewing_eyetrack_ascii.txt"),
device="tobii",
start='MYKEYWORD')
temp_df = pd.read_csv(
os.path.abspath(
"tests/NTU_Experiment/smi_eyetracker_freeviewing.csv"))
del (temp_df)
df = pd.read_csv(
os.path.abspath("tests/NTU_Experiment/Data/sub_222.csv"))
check = 1
finally:
self.assertEqual(check, 1)
check = 0
try:
sensor_dict = {
"EyeTracker": {
"Sampling_Freq": 1000,
"Display_width": 1280,
"Display_height": 1024,
"aoi_left_x": 0,
"aoi_left_y": 0,
"aoi_right_x": 1280,
"aoi_right_y": 1024
}
}
stim = Stimulus(path=os.path.abspath("tests/NTU_Experiment"),
data=df,
sensor_names=sensor_dict,
start_time=0,
end_time=6000)
check = 1
finally:
self.assertEqual(check, 1)
check = 0
try:
stim.findEyeMetaData()
features = stim.sensors["EyeTracker"].metadata
stim.findMicrosaccades(plot_ms=True)
stim.gazePlot(show_fig=False, save_fig=True)
stim.gazeHeatMap(show_fig=False, save_fig=True)
stim.visualize(show=False)
check = 1
finally:
self.assertEqual(check, 1)
print("Start")
a = datetime.now()
'''
exp = Experiment("/home/arvind/Desktop/Experiment1/Experiment1.json","SQL")
exp.metaMatrixInitialisation()
#Testing analyse
exp.analyse()
exp.analyse(within_factor_list=["Stimuli_type", "C"], statistical_test="RM_anova")
exp.analyse(between_factor_list=["Subject_type", "G"], statistical_test = "anova")
exp.analyse(statistical_test = "ttest")
exp.analyse(between_factor_list = ["Subject_type", "G"], statistical_test = "ttest")
exp.analyse(statistical_test = "ttest")
'''
'''
# function to convert data to generate database in base format for experiment done using EyeLink on both eyes and the stimulus name specified in the message section
generateCompatibleFormat(exp_path="/home/arvind/Desktop/Pytrack_testing/PyTrack_sample_data/NTU_Experiment",
device="eyelink",
stim_list_mode='NA',
start='start_trial',
stop='stop_trial',
eye='B')
'''
exp = Experiment("/home/arvind/Desktop/Experiment1/Experiment1.json")
#exp.visualizeData()
exp.metaMatrixInitialisation(average_flag=True)
# #Testing analyse
# exp.analyse(statistical_test="Mixed_anova")
# exp.analyse(statistical_test = "anova")