def test_psydat_filename_collision_output2(self):
# create conditions
conditions = []
for trialType in range(5):
conditions.append({'trialType': trialType})
# create trials
trials = data.TrialHandler2(trialList=conditions,
seed=100,
nReps=3,
method='fullRandom',
autoLog=False)
# simulate trials
for thisTrial in trials:
resp = 'resp' + str(thisTrial['trialType'])
randResp = random(
) # a unique number so we can see which track orders
trials.addData('resp', resp)
trials.addData('rand', randResp)
# test wide data outputs
trials.saveAsWideText(pjoin(self.temp_dir, 'testFullRandom.csv'),
delim=',',
appendFile=False)
# not currently testing this as column order won't match
# (and we've removed the columns "ran" and "order")
utils.compareTextFiles(pjoin(self.temp_dir, 'testFullRandom.csv'),
pjoin(fixturesPath, 'corrFullRandomTH2.csv'))
def test_psydat_filename_collision_output(self):
#create conditions
conditions = []
for trialType in range(5):
conditions.append({'trialType': trialType})
#create trials
trials = data.TrialHandler(trialList=conditions,
seed=100,
nReps=3,
method='fullRandom')
#simulate trials
for thisTrial in trials:
resp = 'resp' + str(thisTrial['trialType'])
randResp = random(
) #a unique number so we can see which track orders
trials.addData('resp', resp)
trials.addData('rand', randResp)
#test summarised data outputs
trials.saveAsText(pjoin(self.temp_dir, 'testFullRandom.dlm'),
stimOut=['trialType'],
appendFile=False) #this omits values
utils.compareTextFiles(pjoin(self.temp_dir, 'testFullRandom.dlm'),
pjoin(fixturesPath, 'corrFullRandom.dlm'))
#test wide data outputs
trials.saveAsWideText(pjoin(self.temp_dir, 'testFullRandom.csv'),
delim=',',
appendFile=False) #this omits values
utils.compareTextFiles(pjoin(self.temp_dir, 'testFullRandom.csv'),
pjoin(fixturesPath, 'corrFullRandom.csv'))
def test_random_data_output(self):
#create conditions
conditions = []
for trialType in range(5):
conditions.append({'trialType': trialType})
#create trials
trials = data.TrialHandler(trialList=conditions,
seed=100,
nReps=3,
method='random')
#simulate trials
for thisTrial in trials:
resp = 'resp' + str(thisTrial['trialType'])
trials.addData('resp', resp)
trials.addData('rand', random())
#test summarised data outputs
trials.saveAsText(pjoin(self.temp_dir, 'testRandom.dlm'),
stimOut=['trialType'],
appendFile=False) #this omits values
utils.compareTextFiles(pjoin(self.temp_dir, 'testRandom.dlm'),
pjoin(fixturesPath, 'corrRandom.dlm'))
#test wide data outputs
trials.saveAsWideText(pjoin(self.temp_dir, 'testRandom.csv'),
delim=',',
appendFile=False) #this omits values
utils.compareTextFiles(pjoin(self.temp_dir, 'testRandom.csv'),
pjoin(fixturesPath, 'corrRandom.csv'))
def test_random_data_output2(self):
# create conditions
conditions = []
for trialType in range(5):
conditions.append({'trialType': trialType})
trials = data.TrialHandler2(trialList=conditions,
seed=self.random_seed,
nReps=3,
method='random',
autoLog=False)
#simulate trials
rng = np.random.RandomState(seed=self.random_seed)
for thisTrial in trials:
resp = 'resp' + str(thisTrial['trialType'])
randResp = rng.rand()
trials.addData('resp', resp)
trials.addData('rand', randResp)
# test wide data outputs
trials.saveAsWideText(pjoin(self.temp_dir, 'testRandom.csv'),
delim=',',
appendFile=False)
utils.compareTextFiles(pjoin(self.temp_dir, 'testRandom.csv'),
pjoin(fixturesPath, 'corrRandomTH2.csv'))
def test_psydat_filename_collision_output(self):
# create conditions
conditions=[]
for trialType in range(5):
conditions.append({'trialType':trialType})
trials= data.TrialHandlerExt(trialList=conditions,
seed=self.random_seed,
nReps=3, method='fullRandom',
autoLog=False)
# simulate trials
rng = np.random.RandomState(seed=self.random_seed)
for thisTrial in trials:
resp = 'resp'+str(thisTrial['trialType'])
randResp = rng.rand()
trials.addData('resp', resp)
trials.addData('rand', randResp)
# test summarised data outputs #this omits values
trials.saveAsText(pjoin(self.temp_dir, 'testFullRandom.tsv'),
stimOut=['trialType'] ,appendFile=False)
utils.compareTextFiles(pjoin(self.temp_dir, 'testFullRandom.tsv'),
pjoin(fixturesPath,'corrFullRandom.tsv'))
# test wide data outputs #this omits values
trials.saveAsWideText(pjoin(self.temp_dir, 'testFullRandom.csv'),
delim=',', appendFile=False)
utils.compareTextFiles(pjoin(self.temp_dir, 'testFullRandom.csv'),
pjoin(fixturesPath,'corrFullRandom.csv'))
def test_random_data_output(self):
# create conditions
conditions=[]
for trialType in range(5):
conditions.append({'trialType':trialType})
trials= data.TrialHandlerExt(trialList=conditions, seed=100, nReps=3,
method='random', autoLog=False)
# simulate trials
rng = np.random.RandomState(seed=self.random_seed)
for thisTrial in trials:
resp = 'resp'+str(thisTrial['trialType'])
randResp = rng.rand()
trials.addData('resp', resp)
trials.addData('rand', randResp)
# test summarised data outputs
# this omits values
trials.saveAsText(pjoin(self.temp_dir, 'testRandom.tsv'),
stimOut=['trialType'], appendFile=False)
utils.compareTextFiles(pjoin(self.temp_dir, 'testRandom.tsv'),
pjoin(fixturesPath,'corrRandom.tsv'))
# test wide data outputs
trials.saveAsWideText(pjoin(self.temp_dir, 'testRandom.csv'),
delim=',', appendFile=False) # this omits values
utils.compareTextFiles(pjoin(self.temp_dir, 'testRandom.csv'),
pjoin(fixturesPath,'corrRandom.csv'))
def test_multiKeyResponses(self):
dat = fromFile(os.path.join(fixturesPath,'multiKeypressTrialhandler.psydat'))
#test csv output
dat.saveAsText(pjoin(self.temp_dir, 'testMultiKeyTrials.csv'), appendFile=False)
utils.compareTextFiles(pjoin(self.temp_dir, 'testMultiKeyTrials.csv'), pjoin(fixturesPath,'corrMultiKeyTrials.csv'))
#test xlsx output
dat.saveAsExcel(pjoin(self.temp_dir, 'testMultiKeyTrials.xlsx'), appendFile=False)
utils.compareXlsxFiles(pjoin(self.temp_dir, 'testMultiKeyTrials.xlsx'), pjoin(fixturesPath,'corrMultiKeyTrials.xlsx'))
def test_multiKeyResponses(self):
pytest.skip() # temporarily; this test passed locally but not under travis, maybe PsychoPy version of the .psyexp??
dat = fromFile(os.path.join(fixturesPath,'multiKeypressTrialhandler.psydat'))
#test csv output
dat.saveAsText(pjoin(self.temp_dir, 'testMultiKeyTrials.csv'), appendFile=False)
utils.compareTextFiles(pjoin(self.temp_dir, 'testMultiKeyTrials.csv'), pjoin(fixturesPath,'corrMultiKeyTrials.csv'))
#test xlsx output
dat.saveAsExcel(pjoin(self.temp_dir, 'testMultiKeyTrials.xlsx'), appendFile=False)
utils.compareXlsxFiles(pjoin(self.temp_dir, 'testMultiKeyTrials.xlsx'), pjoin(fixturesPath,'corrMultiKeyTrials.xlsx'))
def test_multiKeyResponses(self):
pytest.skip() # temporarily; this test passed locally but not under travis, maybe PsychoPy version of the .psyexp??
dat = fromFile(os.path.join(fixturesPath,'multiKeypressTrialhandler.psydat'))
#test csv output
dat.saveAsText(pjoin(self.temp_dir, 'testMultiKeyTrials.csv'), appendFile=False)
utils.compareTextFiles(pjoin(self.temp_dir, 'testMultiKeyTrials.csv'), pjoin(fixturesPath,'corrMultiKeyTrials.csv'))
#test xlsx output
dat.saveAsExcel(pjoin(self.temp_dir, 'testMultiKeyTrials.xlsx'), appendFile=False)
utils.compareXlsxFiles(pjoin(self.temp_dir, 'testMultiKeyTrials.xlsx'), pjoin(fixturesPath,'corrMultiKeyTrials.xlsx'))
def test_multiKeyResponses(self):
dat = misc.fromFile(
os.path.join(fixturesPath, 'multiKeypressTrialhandler.psydat'))
#test csv output
dat.saveAsText(pjoin(self.temp_dir, 'testMultiKeyTrials.csv'),
appendFile=False)
utils.compareTextFiles(pjoin(self.temp_dir, 'testMultiKeyTrials.csv'),
pjoin(fixturesPath, 'corrMultiKeyTrials.csv'))
#test xlsx output
dat.saveAsExcel(pjoin(self.temp_dir, 'testMultiKeyTrials.xlsx'),
appendFile=False)
utils.compareXlsxFiles(pjoin(self.temp_dir, 'testMultiKeyTrials.xlsx'),
pjoin(fixturesPath, 'corrMultiKeyTrials.xlsx'))
def test_random_data_output2(self):
#create conditions
conditions=[]
for trialType in range(5):
conditions.append({'trialType':trialType})
#create trials
trials= data.TrialHandler2(trialList=conditions, seed=100, nReps=3,
method='random', autoLog=False)
#simulate trials
for thisTrial in trials:
resp = 'resp'+str(thisTrial['trialType'])
trials.addData('resp', resp)
trials.addData('rand',random())
#test wide data outputs
trials.saveAsWideText(pjoin(self.temp_dir, 'testRandom.csv'), delim=',', appendFile=False)
# not currently testing this as column order won't match (and we've removed the columns "ran" and "order")
utils.compareTextFiles(pjoin(self.temp_dir, 'testRandom.csv'), pjoin(fixturesPath,'corrRandomTH2.csv'))
def test_all_components(self):
"""Test all component code outputs, except for Settings and Unknown"""
for compName in self.allComp:
if compName not in ['SettingsComponent', 'UnknownComponent']:
# reset exp
self.reset_experiment()
# Add components
self.add_components(compName)
# Create output script
self.create_component_output(compName)
# Get correct script path
correctPath = os.path.join(TESTS_DATA_PATH, "correctScript", "python", 'correct{}.py'.format(compName))
# Compare files, raising assertions on fails above tolerance (%)
try:
compareTextFiles('new{}.py'.format(compName), correctPath, tolerance=3)
except IOError as err:
compareTextFiles('new{}.py'.format(compName), correctPath, tolerance=3)
def test_psydat_filename_collision_output(self):
#create conditions
conditions=[]
for trialType in range(5):
conditions.append({'trialType':trialType})
#create trials
trials= data.TrialHandler(trialList=conditions, seed=100, nReps=3, method='fullRandom')
#simulate trials
for thisTrial in trials:
resp = 'resp'+str(thisTrial['trialType'])
randResp=random()#a unique number so we can see which track orders
trials.addData('resp', resp)
trials.addData('rand',randResp)
#test summarised data outputs
trials.saveAsText(pjoin(self.temp_dir, 'testFullRandom.dlm'), stimOut=['trialType'],appendFile=False)#this omits values
utils.compareTextFiles(pjoin(self.temp_dir, 'testFullRandom.dlm'), pjoin(thisPath,'corrFullRandom.dlm'))
#test wide data outputs
trials.saveAsWideText(pjoin(self.temp_dir, 'testFullRandom.csv'), delim=',', appendFile=False)#this omits values
utils.compareTextFiles(pjoin(self.temp_dir, 'testFullRandom.csv'), pjoin(thisPath,'corrFullRandom.csv'))
def test_psydat_filename_collision_output2(self):
# create conditions
conditions=[]
for trialType in range(5):
conditions.append({'trialType':trialType})
trials = data.TrialHandler2(trialList=conditions, seed=self.random_seed,
nReps=3, method='fullRandom', autoLog=False)
# simulate trials
rng = np.random.RandomState(seed=self.random_seed)
for thisTrial in trials:
resp = 'resp' + str(thisTrial['trialType'])
randResp = rng.rand()
trials.addData('resp', resp)
trials.addData('rand', randResp)
# test wide data outputs
trials.saveAsWideText(pjoin(self.temp_dir, 'testFullRandom.csv'),
delim=',', appendFile=False)
utils.compareTextFiles(pjoin(self.temp_dir, 'testFullRandom.csv'),
pjoin(fixturesPath,'corrFullRandomTH2.csv'))
def test_all_components(self):
"""Test all component code outputs, except for Settings and Unknown"""
for compName in self.allComp:
if compName not in ['SettingsComponent', 'UnknownComponent']:
# reset exp
self.reset_experiment()
# Add components
self.add_components(compName)
# Create output script
self.create_component_output(compName)
# Get correct script path
correctPath = os.path.join(TESTS_DATA_PATH, "correctScript",
"python",
'correct{}.py'.format(compName))
# Compare files, raising assertions on fails above tolerance (%)
try:
compareTextFiles('new{}.py'.format(compName),
correctPath,
tolerance=5)
except IOError as err:
compareTextFiles('new{}.py'.format(compName),
correctPath,
tolerance=5)
