def reShuffleList(trialList):
# We need to CONSTRAIN HERE, the list so that no 2 oddballs are for example right after each other
# i.e. we could "freeze" certain elements of the list, specified in the input .csv -file
# e.g. http://stackoverflow.com/questions/12238005/python-shuffling-list-but-keeping-some-elements-frozen
# a bit non-elegant way to extract to the flags for the freeze from the csv-file
'''
for index, item in enumerate(irregularTargets.trialList):
print "index = ", index
freezeBooleanFlag = item.freeze
print "freeze = ", freezeBooleanFlag
'''
# memorize position of fixed elements
fixed = [(pos, item) for (pos,item) in enumerate(trialList) if item.freeze]
# print " "
# print "FIXED: \n", fixed
# print " "
# shuffle list
random.shuffle(trialList)
# print "Shuffle, 1st Pass: \n", trialList
# print " "
# swap fixed elements back to their original position
for pos, item in fixed:
index = trialList.index(item)
trialList[pos], trialList[index] = trialList[index], trialList[pos]
# print "Shuffled List \n", trialList # print shuffled irregularTargets
# print " "
return trialList
def main(size, popsize):
"""
Make a horse happy by guiding it to a path on the chessboard in such a way that it
moves to every single square once and only once. The little horsie can jump obviously
only in the classic L shape (the chess’ horse move).
Generate random permutations of chess board squares
Find best individual
Show statistics
:param size: Size of the chess board
:param popsize: Size of population
"""
print("Running")
tuples = []
popl = []
for i in range(size):
for j in range(size):
tuples.append((i, j))
for i in range(popsize):
random.shuffle(tuples)
individ = Individual(size, deepcopy(tuples))
popl.append(deepcopy(individ))
finpop = population(popsize, popl, size)
algo = Algorithm(size, finpop)
evaluation, fitness, iter = algo.run()
#statistics
plt.plot(range(iter), fitness, label='BestFitness vs iteration')
plt.xlabel('Iteration')
plt.ylabel('BestFitness')
plt.title("BestFitness evolution")
plt.legend()
plt.show()
def initPopulation(self):
"""初始化种群"""
self.lives = []
for i in range(self.lifeCount):
gene = range(self.geneLenght)
random.shuffle(gene)
life = Life(gene)
self.lives.append(life)
def initPopulation(self):
"""初始化种群"""
self.lives = []
for i in range(self.lifeCount):
gene = range(self.geneLenght)
random.shuffle(gene)
life = Life(gene)
self.lives.append(life)
def choose_female_images():
my_faces = []
my_faces.extend(np.random.choice(sad_female_images, 2, False))
my_faces.extend(np.random.choice(neutral_female_images, 2, False))
random.shuffle(my_faces)
for i in range(len(my_faces)):
my_faces[i].setPos(newPos=locations[i])
thisExp.addData("Image" + str(i) + " _Position", my_faces[i].name)
return my_faces
def generate_trials(trial_type_column, multiplier):
"""Generate a shuffled list of stimuli exemplars from a column in an excel stimuli file"""
a = dict() # declare a dict to be populated
for i in range(len(exemplars)):
a[i] = [exemplars[i][trial_type_column]] * multiplier # populate the dict from vertical reads of the conditions
a = a.values() # extract only values (and not keys) from the list of dicts
a = list(itertools.chain(*a)) # flatten the list of dicts into a list
random.shuffle(a) # shuffle this list, so that it can be drawn from by the trials
return a
def generate_trials(trial_type_column, multiplier):
"""Generate a shuffled list of stimuli exemplars from a column in an excel stimuli file"""
a = dict() # declare a dict to be populated
for i in range(len(exemplars)):
a[i] = [
exemplars[i][trial_type_column]
] * multiplier # populate the dict from vertical reads of the conditions
a = a.values() # extract only values (and not keys) from the list of dicts
a = list(itertools.chain(*a)) # flatten the list of dicts into a list
random.shuffle(
a) # shuffle this list, so that it can be drawn from by the trials
return a
def generate_samples(self,dataModel,max_samples=None):
self.init(dataModel, max_samples)
idxs = range(self.dataModel.getData().nnz)
random.shuffle(idxs)
self.users, self.items = self.dataModel.getData().nonzero()
self.users = self.users[idxs]
self.items = self.items[idxs]
self.idx = 0
for _ in xrange(self.num_samples(self.dataModel.getData().nnz)):
u = self.users[self.idx]
i = self.items[self.idx]
j = self.sample_negative_item(self.dataModel.getItemIDsFromUid(u))
self.idx += 1
yield u, i, j
def generate_samples(self, dataModel, max_samples=None):
self.init(dataModel, max_samples)
idxs = range(self.dataModel.getData().nnz)
random.shuffle(idxs)
self.users, self.items = self.dataModel.getData().nonzero()
self.users = self.users[idxs]
self.items = self.items[idxs]
self.idx = 0
for _ in xrange(self.num_samples(self.dataModel.getData().nnz)):
u = self.users[self.idx]
i = self.items[self.idx]
j = self.sample_negative_item(self.dataModel.getItemIDsFromUid(u))
self.idx += 1
yield u, i, j
def generate_run_order(siteList, restList):
conditions = []
siteList1 = siteList.copy()
siteList2 = siteList.copy()
restList1 = restList.copy()
restList2 = restList.copy()
random.shuffle(siteList1)
random.shuffle(siteList2)
while siteList1:
for i in range(random.randint(1,3)):
conditions.append(siteList1.pop())
if not siteList1:
break
if restList1:
conditions.append(restList1.pop())
while siteList2:
for i in range(random.randint(1,3)):
conditions.append(siteList2.pop())
if not siteList2:
break
if restList2:
conditions.append(restList2.pop())
return conditions
def batch_generator_train(files,
train_csv_table,
batch_size,
npy=False,
cv3D_size=512,
from_gray_to_rgb=False):
number_of_batches = np.ceil(len(files) / batch_size)
counter = 0
random.shuffle(files)
next_files = copy.deepcopy(files)
failed = 0
while True:
# batch_files = files[batch_size*counter+failed:batch_size*(counter+1)+failed]
image_list = []
mask_list = []
success = 0
problem_files = []
# for f in files[batch_size*counter+failed:]:
for f in files[batch_size * counter:batch_size * (counter + 1)]:
# if success==batch_size:
# break
if npy:
try:
image = load_and_normalize_dicom(f, cv3D_size, cv3D_size,
npy, cv3D_size)
success += 1
except:
# print('Problem with:', f)
failed += 1
try:
next_files.remove(f)
except:
pass
problem_files.append(f)
batch_files = files[batch_size * counter +
failed:batch_size * (counter + 1) +
failed]
continue
# img = np.load(f)
# print(img.shape)
# print(image.shape)
patient_id = os.path.basename(f.replace('.npy', ''))
else:
image = load_and_normalize_dicom(f, cv3D_size, cv3D_size)
patient_id = os.path.basename(os.path.dirname(f))
success += 1
try:
is_cancer = train_csv_table.loc[train_csv_table['id'] ==
patient_id]['cancer'].values[0]
if is_cancer == 0:
mask = [1, 0]
# mask = [1]
else:
mask = [0, 1]
# mask = [0]
except:
# print('Problem with %s' % patient_id)
mask = [0.5, 0.5]
if npy:
if from_gray_to_rgb:
image_list.append(np.repeat(image, 3, axis=0))
else:
image_list.append(image)
else:
if from_gray_to_rgb:
image_list.append([image] * 3)
else:
image_list.append([image])
mask_list.append(mask)
# print(Counter([image[0].shape for image in image_list]))
counter += 1
if npy:
npy_image_list = np.zeros(
(batch_size, 1, cv3D_size, cv3D_size, cv3D_size))
for i, image in enumerate(image_list):
len_image = min(len(image), 512)
# print(len_image)
# image = np.expand_dims(np.expand_dims(image[:512], 1),0)
# print(image.shape)
# print(len_image)
npy_image_list[i, 0, :len_image, :, :] = image[:512]
image_list = npy_image_list
else:
image_list = np.array(image_list)
# print(image_list.shape)
# print(image_list[0].shape)
mask_list = np.array(mask_list)
# print(image_list.shape)
# print(image_list.shape)
# print(mask_list.shape)
if len(mask_list) > 0:
# image_list = np.swapaxes(image_list,1,2)
image_list.astype(np.int32)
# print(image_list.shape)
# print(image_list.nbytes)
yield image_list, mask_list
else:
# print(image_list)
print(mask_list)
print(patient_id)
# print(image_list.shape)
failed += 1
try:
next_files.remove(f)
except:
pass
yield np.zeros((batch_size, 1, cv3D_size, cv3D_size,
cv3D_size)), np.array([[0]])
if counter == number_of_batches:
# print('Reported %s problems with files this epoch' % (len(files)-len(next_files)))
# files = next_files
# next_files = copy.deepcopy(files)
# print('length of new file list: %s' % len(files))
random.shuffle(files)
counter = 0
failed = 0
# Initialize components for Routine "Initialize"
InitializeClock = core.Clock()
# In this script I use a csv file to define my variables as opposed to explicity defining them in my code.
# I then use the participant's number and the session number to create personalized order files, in case that would be helpful
import csv
import random
with open("RunC_Jitter.csv") as f:
reader = csv.DictReader(f)
jitters = [row["ISI_duration"] for row in reader]
participant_id = expInfo["participant"]
session_id = expInfo["session"]
random.shuffle(jitters)
# get image names and expressions
condition_input_file = "RunC_ConditionsInputFile.csv"
with open(condition_input_file) as f:
reader = csv.DictReader(f)
input_rows = [row["ImageFile"] for row in reader]
output_rows = [(input_row, jitter) for input_row, jitter in zip(input_rows, jitters)]
# write image names, expressions, and jitters
condition_output_file = "RunC_ConditionsFile.csv"
with open(condition_output_file, "w") as f:
writer = csv.DictWriter(f, ["ImageFile", "jitter"])
writer.writeheader()
writer.writerows([{"ImageFile": output_row[0], "jitter": output_row[1]} for output_row in output_rows])
if live == 1:
inlet= lslstream()
else:
inlet= datastream()
#####
acrLknown.extend(acrlunknown)
acrL=acrLknown
print acrL
random.shuffle(acrL)
#if lSize is not 0:
# acrL=acrL[:lSize]
######/end Acronym List ##############
#INTRO SCREEN
win = visual.Window(size=(1366, 768), fullscr=True, screen=0, allowGUI=False, allowStencil=False,
monitor='testMonitor', color=[-1,-1,-1], colorSpace='rgb',
blendMode='avg', useFBO=True,
)
#CREATE NONTEXT OBJECTS
color=[1,1,1], colorSpace='rgb', opacity=1,
flipHoriz=False, flipVert=False,
texRes=128, interpolate=True, depth=-2.0)
# Initialize components for Routine "blank_block_trial"
blank_block_trialClock = core.Clock()
blank_block_trial_image = visual.ImageStim(win=win, name='blank_block_trial_image',
image='sin', mask=None,
ori=0, pos=[0, 0], size=None,
color=[1,1,1], colorSpace='rgb', opacity=1,
flipHoriz=False, flipVert=False,
texRes=128, interpolate=True, depth=0.0)
blockList = ['1','2','3','4','5','6']
random.shuffle(blockList)
# Create some handy timers
globalClock = core.Clock() # to track the time since experiment started
routineTimer = core.CountdownTimer() # to track time remaining of each (non-slip) routine
#------Prepare to start Routine "start"-------
t = 0
startClock.reset() # clock
frameN = -1
# update component parameters for each repeat
start_key_resp = event.BuilderKeyResponse() # create an object of type KeyResponse
start_key_resp.status = NOT_STARTED
# keep track of which components have finished
def run2_func(expInfo):
# main function
# Ensure that relative paths start from the same directory as this script
_thisDir = os.path.dirname(os.path.abspath(__file__)).decode(
sys.getfilesystemencoding())
os.chdir(_thisDir)
# Store info about the experiment session
expName = u'tnac_exp' # from the Builder filename that created this script
expInfo['expName'] = expName
# Data file name stem = absolute path + name; later add .psyexp, .csv, .log, etc
filename = _thisDir + os.sep + u'data/%s_%s_%s' % (
expInfo['participant'], expName, expInfo['date'])
trg_dict = {
"music": 1,
"voice": 2,
"song": 3,
"sound_off": 100,
"pause_block": 200,
"stop_run": 300,
"start_run": 400,
"start_block": 500,
}
#define path to csvs
run_var = _thisDir + '/run2.csv'
# An ExperimentHandler isn't essential but helps with data saving
thisExp = data.ExperimentHandler(name=expName,
version='',
extraInfo=expInfo,
runtimeInfo=None,
originPath=None,
savePickle=True,
saveWideText=True,
dataFileName=filename)
# save a log file for detail verbose info
logFile = logging.LogFile(filename + '.log', level=logging.EXP)
logging.console.setLevel(
logging.WARNING) # this outputs to the screen, not a file
endExpNow = False # flag for 'escape' or other condition => quit the exp
# Start Code - component code to be run before the window creation
# Setup the Window
## TODO: set window to fullscreen
win = visual.Window(size=[1366, 768],
fullscr=True,
screen=0,
allowGUI=True,
allowStencil=False,
monitor='testMonitor',
color=[0, 0, 0],
colorSpace='rgb',
blendMode='avg',
useFBO=True)
# store frame rate of monitor if we can measure it
expInfo['frameRate'] = win.getActualFrameRate()
if expInfo['frameRate'] != None:
frameDur = 1.0 / round(expInfo['frameRate'])
else:
frameDur = 1.0 / 60.0 # could not measure, so guess
# Initialize components for Routine "trial"
trialClock = core.Clock()
stim_1 = sound.Sound('A', secs=-1)
stim_1.setVolume(1)
fix_1 = visual.TextStim(win=win,
name='fix_1',
text='+',
font='Arial',
pos=(0, 0),
height=0.1,
wrapWidth=None,
ori=0,
color='white',
colorSpace='rgb',
opacity=1,
depth=-1.0)
# Initialize components for Routine "run_start"
run_startClock = core.Clock()
run_start_msg_screen = visual.TextStim(win=win,
name='run_start_msg_screen',
text=u'Kurze Pause.',
font='Arial',
units='norm',
pos=[0, 0],
height=0.12,
wrapWidth=2,
ori=0,
color='white',
colorSpace='rgb',
opacity=1,
depth=0.0)
# Initialize components for Routine "run_trigger_sync"
StartClock = core.Clock()
run_trigger_syncClock = core.Clock()
run_start_msg = visual.TextStim(win=win,
name='run_start_msg',
text='Durchgang beginnt!',
font='Arial',
units='norm',
pos=[0, 0],
height=0.15,
wrapWidth=2,
ori=0,
color='white',
colorSpace='rgb',
opacity=1,
depth=-1.0)
movie = visual.MovieStim3(
win=win,
name='movie',
units='pix',
noAudio=True,
# rename path
filename='C:\Paradigmen\AG_Brain\Peer\TNAC\movies\mov2.mkv',
ori=0,
pos=(0, 0),
opacity=1,
depth=0.0,
)
# Create some handy timers
globalClock = core.Clock() # to track the time since experiment started
routineTimer = core.CountdownTimer(
) # to track time remaining of each (non-slip) routine
block_delay = [4, 5, 6] * 12
random.shuffle(block_delay)
#print(block_delay)
# ------Prepare to start Routine "run_start"-------
t = 0
run_startClock.reset() # clock
frameN = -1
continueRoutine = True
# update component parameters for each repeat
run_start_trigger_key = event.BuilderKeyResponse()
# keep track of which components have finished
run_startComponents = [run_start_msg_screen, run_start_trigger_key]
for thisComponent in run_startComponents:
if hasattr(thisComponent, 'status'):
thisComponent.status = NOT_STARTED
# -------Start Routine "run_start"-------
while continueRoutine:
# get current time
t = run_startClock.getTime()
thisExp.addData('start_run', globalClock.getTime())
frameN = frameN + 1 # number of completed frames (so 0 is the first frame)
# update/draw components on each frame
# *run_start_msg_screen* updates
if t >= 0.0 and run_start_msg_screen.status == NOT_STARTED:
# keep track of start time/frame for later
run_start_msg_screen.tStart = t
run_start_msg_screen.frameNStart = frameN # exact frame index
run_start_msg_screen.setAutoDraw(True)
# *run_start_trigger_key* updates
if t >= 0.0 and run_start_trigger_key.status == NOT_STARTED:
# keep track of start time/frame for later
run_start_trigger_key.tStart = t
run_start_trigger_key.frameNStart = frameN # exact frame index
run_start_trigger_key.status = STARTED
# keyboard checking is just starting
event.clearEvents(eventType='keyboard')
if run_start_trigger_key.status == STARTED:
theseKeys = event.getKeys(keyList=['s'])
# check for quit:
if "escape" in theseKeys:
endExpNow = True
if len(theseKeys) > 0: # at least one key was pressed
# a response ends the routine
continueRoutine = False
# check if all components have finished
if not continueRoutine: # a component has requested a forced-end of Routine
break
continueRoutine = False # will revert to True if at least one component still running
for thisComponent in run_startComponents:
if hasattr(thisComponent,
"status") and thisComponent.status != FINISHED:
continueRoutine = True
break # at least one component has not yet finished
# check for quit (the Esc key)
if endExpNow or event.getKeys(keyList=["escape"]):
core.quit()
# refresh the screen
if continueRoutine: # don't flip if this routine is over or we'll get a blank screen
win.flip()
# -------Ending Routine "run_start"-------
for thisComponent in run_startComponents:
if hasattr(thisComponent, "setAutoDraw"):
thisComponent.setAutoDraw(False)
# the Routine "run_start" was not non-slip safe, so reset the non-slip timer
routineTimer.reset()
# ------Prepare to start Routine "run_trigger_sync"-------
t = 0
run_trigger_syncClock.reset() # clock
frameN = -1
continueRoutine = True
# update component parameters for each repeat
run_trigger_sync_ = event.BuilderKeyResponse()
# keep track of which components have finished
run_trigger_syncComponents = [run_trigger_sync_, run_start_msg]
for thisComponent in run_trigger_syncComponents:
if hasattr(thisComponent, 'status'):
thisComponent.status = NOT_STARTED
# -------Start Routine "run_trigger_sync"-------
while continueRoutine:
# get current time
print('waiting for scanner trigger....')
t = run_trigger_syncClock.getTime()
frameN = frameN + 1 # number of completed frames (so 0 is the first frame)
# update/draw components on each frame
# *run_trigger_sync_* updates
if t >= 0.0 and run_trigger_sync_.status == NOT_STARTED:
# keep track of start time/frame for later
run_trigger_sync_.tStart = t
run_trigger_sync_.frameNStart = frameN # exact frame index
run_trigger_sync_.status = STARTED
# keyboard checking is just starting
win.callOnFlip(
run_trigger_sync_.clock.reset) # t=0 on next screen flip
event.clearEvents(eventType='keyboard')
if run_trigger_sync_.status == STARTED:
theseKeys = event.getKeys(keyList=['t'])
# check for quit:
if "escape" in theseKeys:
endExpNow = True
if len(theseKeys) > 0: # at least one key was pressed
run_trigger_sync_.keys = theseKeys[
-1] # just the last key pressed
run_trigger_sync_.rt = run_trigger_sync_.clock.getTime()
# a response ends the routine
continueRoutine = False
# *run_start_msg* updates
if t >= 0.0 and run_start_msg.status == NOT_STARTED:
# keep track of start time/frame for later
run_start_msg.tStart = t
run_start_msg.frameNStart = frameN # exact frame index
run_start_msg.setAutoDraw(True)
frameRemains = 0.0 + 5 - win.monitorFramePeriod * 0.75 # most of one frame period left
if run_start_msg.status == STARTED and t >= frameRemains:
run_start_msg.setAutoDraw(False)
# check if all components have finished
if not continueRoutine: # a component has requested a forced-end of Routine
break
continueRoutine = False # will revert to True if at least one component still running
for thisComponent in run_trigger_syncComponents:
if hasattr(thisComponent,
"status") and thisComponent.status != FINISHED:
continueRoutine = True
break # at least one component has not yet finished
# check for quit (the Esc key)
if endExpNow or event.getKeys(keyList=["escape"]):
core.quit()
# refresh the screen
if continueRoutine: # don't flip if this routine is over or we'll get a blank screen
win.flip()
# -------Ending Routine "run_trigger_sync"-------
for thisComponent in run_trigger_syncComponents:
if hasattr(thisComponent, "setAutoDraw"):
thisComponent.setAutoDraw(False)
# check responses
if run_trigger_sync_.keys in ['', [], None]: # No response was made
run_trigger_sync_.keys = None
thisExp.addData('run_trigger_sync_.keys', run_trigger_sync_.keys)
if run_trigger_sync_.keys != None: # we had a response
thisExp.addData('run_trigger_sync_.rt', run_trigger_sync_.rt)
run_start_timestamp = StartClock.getTime()
send_trigger(400)
# the Routine "run_trigger_sync" was not non-slip safe, so reset the non-slip timer
routineTimer.reset()
start_delay = False
delay_counter = 0
#print(block_delay)
#print(delay_counter)
# start movie for whole run (loop over trials)
mov = 'movies/mov2.mkv'
#print(mov)
movie.setMovie(mov)
if t >= 0.0 and movie.status == NOT_STARTED:
# keep track of start time/frame for later
movie.tStart = t
movie.frameNStart = frameN # exact frame index
movie.setAutoDraw(True)
frameRemains = 0.0 + 2 - win.monitorFramePeriod * 0.75 # most of one frame period left
# set up handler to look after randomisation of conditions etc
trials = data.TrialHandler(nReps=1,
method='sequential',
extraInfo=expInfo,
originPath=-1,
trialList=data.importConditions(run_var),
seed=None,
name='trials')
thisExp.addLoop(trials) # add the loop to the experiment
thisTrial = trials.trialList[
0] # so we can initialise stimuli with some values
# abbreviate parameter names if possible (e.g. rgb = thisTrial.rgb)
if thisTrial != None:
for paramName in thisTrial.keys():
exec(paramName + '= thisTrial.' + paramName)
stimuli_played = 0
for thisTrial in trials:
currentLoop = trials
# abbreviate parameter names if possible (e.g. rgb = thisTrial.rgb)
if thisTrial != None:
for paramName in thisTrial.keys():
exec(paramName + '= thisTrial.' + paramName)
# ------Prepare to start Routine "trial"-------
t = 0
trialClock.reset() # clock
frameN = -1
continueRoutine = True
routineTimer.add(2.000000)
# update component parameters for each repeat
stim_1.setSound(stimuli, secs=2)
#read stimuli into dict and set port value
abc = stimuli.split('/')[0]
trg = trg_dict.get(abc, 100)
# keep track of which components have finished
trialComponents = [stim_1, fix_1]
for thisComponent in trialComponents:
if hasattr(thisComponent, 'status'):
thisComponent.status = NOT_STARTED
# -------Start Routine "trial"-------
while continueRoutine and routineTimer.getTime() > 0:
# get current time
t = trialClock.getTime()
frameN = frameN + 1 # number of completed frames (so 0 is the first frame)
# update/draw components on each frame
# start/stop stim_1
if t >= 0.0 and stim_1.status == NOT_STARTED:
# keep track of start time/frame for later
stim_1.tStart = t
stim_1.frameNStart = frameN # exact frame index
## TODO reinstate: send_trigger(abc)
#print(abc)
stim_1.play(
) # start the sound (it finishes automatically)
send_trigger(trg) # send block specific trigger
# get time for stimuls start
thisExp.addData('stimulus_start_global',
globalClock.getTime())
thisExp.addData('stimulus_start_routineTimer',
routineTimer.getTime())
thisExp.addData('stimulus_start_', frameN)
print(stim_1)
stimuli_played += 1
if stimuli_played % 5 == 0:
start_delay = True
print('stimuli_nr:' + str(stimuli_played))
frameRemains = 0.0 + 1.5 - win.monitorFramePeriod * 0.75 # most of one frame period left
#frameRemainsdelay = 0.0 + 1.5- win.monitorFramePeriod * 0.75 # most of one frame period left
if stim_1.status == STARTED and t >= frameRemains:
stim_1.stop() # stop the sound (if longer than duration)
send_trigger(100) # send sound off trigger
# get info on stim end
thisExp.addData('stimulus_end_global', globalClock.getTime())
thisExp.addData('stimulus_end_routineTimer',
routineTimer.getTime())
# add delay intervall after 5 stimuli
if stimuli_played % 5 == 0 and start_delay and delay_counter != 35:
send_trigger(200)
delay = block_delay[delay_counter]
routineTimer.add(block_delay[delay_counter])
#frameRemainsdelay = 0.0 + 1.5 + delay - win.monitorFramePeriod * 0.75 # most of one frame period left
#print('delay='+str(delay_counter))
delay_counter += 1
thisExp.addData('delay_counter',
block_delay[delay_counter])
thisExp.addData('block_end_global', globalClock.getTime())
start_delay = False
if stim_1.status == STARTED and t >= frameRemains:
stim_1.stop() # stop the sound (if longer than duration)
send_trigger(100) # send sound off trigger
# get info on stim end
thisExp.addData('stimulus_end_global', globalClock.getTime())
thisExp.addData('stimulus_end_routineTimer',
routineTimer.getTime())
# check if all components have finished
if not continueRoutine: # a component has requested a forced-end of Routine
break
continueRoutine = False # will revert to True if at least one component still running
for thisComponent in trialComponents:
if hasattr(thisComponent,
"status") and thisComponent.status != FINISHED:
continueRoutine = True
break # at least one component has not yet finished
# check for quit (the Esc key)
if endExpNow or event.getKeys(keyList=["escape"]):
core.quit()
# refresh the screen
if continueRoutine: # don't flip if this routine is over or we'll get a blank screen
win.flip()
stim_1.stop() # ensure sound has stopped at end of routine
thisExp.nextEntry()
# completed 1 repeats of 'trials'
thisExp.nextEntry()
# completed 1 repeats of 'block'
if stimuli_played == 180:
movie.setAutoDraw(False)
send_trigger(300) # END RUN
thisExp.saveAsWideText(filename + 'run2' + '.csv')
thisExp.saveAsPickle(filename + 'run2')
logging.flush()
# make sure everything is closed down
thisExp.abort() # or data files will save again on exit
win.close()
usern = raw_input("Enter your username:"******"Enter 1 for streaming, 2 for data stream"))
if live == 1:
inlet = lslstream()
else:
inlet = datastream()
#####
acrLknown.extend(acrlunknown)
acrL = acrLknown
print acrL
random.shuffle(acrL)
#if lSize is not 0:
# acrL=acrL[:lSize]
######/end Acronym List ##############
#INTRO SCREEN
win = visual.Window(
size=(1366, 768),
fullscr=True,
screen=0,
allowGUI=False,
allowStencil=False,
monitor='testMonitor',
color=[-1, -1, -1],
colorSpace='rgb',
'NEUTRAL1.bmp', 'NEUTRAL2.bmp', 'NEUTRAL3.bmp', 'NEUTRAL4.bmp',
'NEUTRAL5.bmp', 'NEUTRAL6.bmp', 'NEUTRAL7.bmp', 'NEUTRAL8.bmp',
'NEUTRAL1.bmp', 'NEUTRAL2.bmp', 'NEUTRAL3.bmp', 'NEUTRAL4.bmp',
'NEUTRAL5.bmp', 'NEUTRAL6.bmp', 'NEUTRAL7.bmp', 'NEUTRAL8.bmp'
]
#NUMBER OF DISTRACTOR IMAGES AND PRESENTATION
distractor_presentations = 16
FearLeft_marker = 0
FearRight_marker = 0
NeutralLeft_marker = 0
NeutralRight_marker = 0
random.shuffle(FearLeft_trials)
random.shuffle(FearRight_trials)
random.shuffle(NeutralLeft_trials)
random.shuffle(NeutralRight_trials)
fixation = visual.TextStim(win=win,
name='fixation',
text='+',
font='Arial',
pos=(0, 0),
height=20,
wrapWidth=None,
ori=0,
color='black',
colorSpace='rgb',
opacity=1,
F1XPOS = basePos(0, height, XR, XL)[1]
F2XPOS = basePos(0, height, XR, XL)[2]
Fixation = fixationr.pos
elif key[0] == 'r':
base_positions_image = basePos(height, 0, XL, XR)[0]
F1XPOS = basePos(height, 0, XL, XR)[1]
F2XPOS = basePos(height, 0, XL, XR)[2]
Fixation = fixationl.pos
#show wait screen
waitScreen()
#START OF REAL EXPERIMENT WITH 3 BLOCKS#
for k in range(3):
#randomize the list of images before each of the three blocks
random.shuffle(STIMULI)
#randomize the list of positions before each of the three blocks
random.shuffle(base_positions_image)
#the next loop follows the same structure as the practice loop
for t in range(48):
endTRIAL = False
opas = 0
ran_time = random.randint(0, 4)
STIMULI[t]['stimulus'].pos = base_positions_image[t]
stopwatch.reset()
while not endTRIAL:
if stopwatch.getTime() > RAN[ran_time]:
if opas < 0.99:
opas += 0.015
else:
if thisTrial != None:
for paramName in thisTrial.keys():
exec(paramName + '= thisTrial.' + paramName)
# ------Prepare to start Routine "trial"-------
t = 0
trialClock.reset() # clock
frameN = -1
continueRoutine = True
routineTimer.add(TotalTrialTime)
# update component parameters for each repeat
# Generate a random set of locations
# Create the list of possible locations
Locations = (np.arange(0, GridCount**2, 1))
# shuffle the list
random.shuffle(Locations)
# pick out some
Locations = Locations[0:Load]
resp = event.BuilderKeyResponse()
# keep track of which components have finished
trialComponents = [circle, textDelay, textITI, resp]
for thisComponent in trialComponents:
if hasattr(thisComponent, 'status'):
thisComponent.status = NOT_STARTED
# -------Start Routine "trial"-------
while continueRoutine and routineTimer.getTime() > 0:
# get current time
t = trialClock.getTime()
for r in runs:
expInfo['run'] = r
#conditionFile='face_matching_stimuli_'+r+'.csv'###CHANGED CONDITION FILE
#Write condition file (randomize block file sequence)
if expInfo['runMode'] == 'Scanner':
conditionFile = output + '/FaceMatching_all_blocks_list_3x' + r + '.csv'
block_names = [
'block_A_happy_1.csv', 'block_A_fear_1.csv',
'block_A_neutral_1.csv', 'block_A_objects_1.csv'
]
with open(conditionFile, 'wb') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=["trial_blocks"])
writer.writeheader()
blocks = []
for i in range(1, 4):
random.shuffle(block_names)
blocks.append('block_fixation.csv')
blocks = blocks + [
x.replace('1', str(i)).replace('A', r) for x in block_names
]
for i in blocks:
print >> csvfile, i
thisExp.nextEntry()
# the Routine "instructions" was not non-slip safe, so reset the non-slip timer
routineTimer.reset()
#------Prepare to start Routine "trigger"-------
msgExpter = visual.TextStim(win,
exec('{} = thisTrial_2[paramName]'.format(paramName))
for thisTrial_2 in trials_2:
currentLoop = trials_2
# abbreviate parameter names if possible (e.g. rgb = thisTrial_2.rgb)
if thisTrial_2 != None:
for paramName in thisTrial_2:
exec('{} = thisTrial_2[paramName]'.format(paramName))
# ------Prepare to start Routine "RandomiseStim"-------
t = 0
RandomiseStimClock.reset() # clock
frameN = -1
continueRoutine = True
# update component parameters for each repeat
random.shuffle(FEAR)
random.shuffle(NEUTRAL)
FearLoop = 0
NeutralLoop = 0
D_L = "FEAR1.bmp"
D_R = "FEAR1.bmp"
# keep track of which components have finished
RandomiseStimComponents = []
for thisComponent in RandomiseStimComponents:
if hasattr(thisComponent, 'status'):
thisComponent.status = NOT_STARTED
# -------Start Routine "RandomiseStim"-------
while continueRoutine:
##########Trial Sequence########## trials = 240 duration = 3.0 ITI_min = 800.0 ITI_max = 2000.0 stim_image = [] corrAns = [] ITI = [] # index the images for high, medium and low frequencies for later selection #indices_all = (np.random.choice(len(Imagelist), 104, replace=False)).tolist() indices_all = list(range(104)) random.shuffle(Imagelist) print (Imagelist) indices_low = indices_all[:80] indices_medium = indices_all[80:96] indices_high = indices_all[96:104] # select corresponding images stim_image_high = [Imagelist[i] for i in indices_high]*10 stim_image_medium = [Imagelist[i] for i in indices_medium]*5 stim_image_low = [Imagelist[i] for i in indices_low] stim_image = stim_image_high +stim_image_medium + stim_image_low # frequency frequency = ['high']*80 + ['medium']*80 + ['low']*80 # corrAns
##--------------Read the Experimental Matrix---------------##
expmatrix = pd.read_csv('expmatrix.csv', index_col = [0])
##--------------Post Forced Choice Matrix---------------##
# Generate a matrix with F1 vs. F2, where F1 column has 40 'Low' and F2 has 20 'Medium' and 20 'High'.
# F1_path & F2_path: 20 Low from Set1 and 20 from Set2; 10 medium from Set1 and 10 from Set2; 10 High from Set1 and 10 from Set2
# Task_1 & Task_2, where each has 20 columns saying 'con' & 'non'
# Question: 20 says 'higher' and 20 says 'lower'.
# Correct response
#left vs. right?
F1 = ['Low'] *40
F2 = ['Medium'] * 10 + ['High'] * 10 + ['Medium'] * 10 + ['High'] * 10
Question = ['higher'] * 20 + ['lower'] * 20
random.shuffle(Question)
Position = ['L'] * 20 + ['R'] * 20
random.shuffle(Position)
low_non = expmatrix.loc[(expmatrix.Congruency == 'None') & (expmatrix.Frequency == 'low')].sample(n=20)[['stim_image','Congruency']]
low_con = expmatrix.loc[(expmatrix.Congruency != 'None') & (expmatrix.Frequency == 'low')].sample(n=20)[['stim_image','Congruency']]
medium_non = expmatrix.loc[(expmatrix.Congruency == 'None') & (expmatrix.Frequency == 'medium')].sample(n=10)[['stim_image','Congruency']]
medium_con = expmatrix.loc[(expmatrix.Congruency != 'None') & (expmatrix.Frequency == 'medium')].sample(n=10)[['stim_image','Congruency']]
high_non = expmatrix.loc[(expmatrix.Congruency == 'None') & (expmatrix.Frequency == 'high')].sample(n=10)[['stim_image','Congruency']]
high_con = expmatrix.loc[(expmatrix.Congruency != 'None') & (expmatrix.Frequency == 'high')].sample(n=10)[['stim_image','Congruency']]
F1_path = pd.concat([low_non,low_con],ignore_index=True)
F2_path = pd.concat([medium_non, high_non, medium_con, high_con],ignore_index=True)
corrAns = ['N/A']*40
def ShapeBuilderFunction(**OptionalParameters):
#
##################### MODULES TO IMPORT
#########################################################################################################
#########################################################################################################
#########################################################################################################
#
import math
import numpy as np
import random
from psychopy import visual, info, core
from sys import platform as _platform
import numbers
# jeopardy = sound.SoundPyo(volume = 1)
# jeopardy.setSound('jeopardy.wav')
# expInfo = info.RunTimeInfo(refreshTest = None)
# versionNum = int(str(expInfo['psychopyVersion']).replace('.',''))
#
##################### Functions
#########################################################################################################
#########################################################################################################
#########################################################################################################
#
def EucDist(Pos1,Pos2):
return math.sqrt(abs(Pos1[0]-Pos2[0])**2 + abs(Pos1[1]-Pos2[1])**2)
def shift(seq, n):
n = n % len(seq)
return seq[n:] + seq[:n]
def DrawStimuliFlip(WhatToDisplay,Window):
[curImage.draw() for curImage in WhatToDisplay]
Window.flip()
def AngleCalc(Rad,Xorigin,Yorigin,YCorrectionFactor,AngleNum,Start):
X=Start - float(360)/AngleNum
Degrees = []
for i in range(0,AngleNum):
X = X + float(360)/AngleNum
Degrees.append(X)
Degrees=np.array(Degrees)
Xcoordinates=Xorigin + np.cos(np.deg2rad(Degrees)) * Rad
Ycoordinates=Yorigin + np.sin(np.deg2rad(Degrees)) * Rad * YCorrectionFactor
return (zip(Xcoordinates,Ycoordinates))
#This is just used because I have had problems with the mouse
#when switching between macs and windows. The main issue is that
#event.Mouse() has issues if a window (e.g., event.Mouse(win =myWindow) is not supplied on windows machines
#however, on macs specifying the window causes problems, but only on older versions
#of psychopy...what a mess. On a mac, with new versions (>1.82..I think!), you need to specify the window.
#Thus, this function gets what the version.
def DetermineSystemType(psychopyVersion):
if _platform == "linux" or _platform == "linux2":
core.quit()
elif _platform == "darwin":
if versionNum <= 18201:
compType = 'mac'
else:
compType = 'pc'
elif _platform == "win32":
compType = 'pc'
else:
compType = 'pc'
return(compType)
################# Optional Paramaeter Stuff
#########################################################################################################
#########################################################################################################
#########################################################################################################
#Do you want to write data to the file
if 'writeData' in OptionalParameters:
WriteData = OptionalParameters['writeData']
if WriteData not in [True,False]:
print('Only True or False are possible parameters for writeData brahh!')
elif 'writeData' not in OptionalParameters:
WriteData = True
if 'numPracTrials' in OptionalParameters:
if isinstance(OptionalParameters['numPracTrials'],numbers.Number):
if OptionalParameters['numPracTrials'] < 27 and OptionalParameters['numPracTrials'] > -1:
numPracticeTrials = int(OptionalParameters['numPracTrials'])
elif OptionalParameters['numPracTrials'] < 0 or OptionalParameters['numPracTrials'] > 26:
print('Please enter a non-negative integer for the number of practice trials that is less than 26.')
core.quit()
else:
print('Please enter a single number for "numPracTrials".')
core.quit()
elif 'numPracTrials' not in OptionalParameters:
numPracticeTrials = 6
if 'win' in OptionalParameters:
window = OptionalParameters['win']
elif 'win' not in OptionalParameters:
window = visual.Window(fullscr=True,monitor='Default',units='norm',colorSpace='rgb')
#Had to include this because I was having trouble
#automatically detecting the version type on windows machines.
if 'computerAndVersionType' in OptionalParameters:
if OptionalParameters['computerAndVersionType'] == 'pc':
myMouse = event.Mouse(win=window)
elif OptionalParameters['computerAndVersionType'] == 'mac':
myMouse = event.Mouse(win=window)
elif OptionalParameters['computerAndVersionType'] == 'macOld':
myMouse = event.Mouse()
else:
print('Not a valid option for "computerAndVersionType" -- "pc", "mac", or "macOld" d00d.')
core.quit()
elif 'computerAndVersionType' not in OptionalParameters:
myMouse = event.Mouse(win=window)
if 'physicalMonSize' in OptionalParameters:
screenRez = win.size
physicalMonSize = OptionalParameters['physicalMonSize']
yCorrFactor = float(physicalMonSize[0])/physicalMonSize[1]
elif 'physicalMonSize' not in OptionalParameters:
yCorrFactor = 1.6
background = visual.Rect(window, size=(window.size)*2, fillColor=(-1.0,-1.0,-1.0))
#Enter monitor size in cm. If left at [0,0] it is assumed that
#1 pixel on the x axis is the same size as 1 pixel on the y axis
monSize=[0,0]
shapeLWidth=3
lineCol=[-1,-1,-1]
trialNum = 0
curMemSize=2
startShapeDur=0.7
curScore = 0
curMemTrial = 0
timeBetweenShapes = 0.5
if numPracticeTrials == 0:
numTimesThroughSB = 1
else:
numTimesThroughSB = 2
timesThrough = 0
whenToChange = [3,6,9]
difColors=[
[ 1, 1,-1],
[-1,-1, 1],
[ 1,-1,-1],
[-1, 1,-1]
]
# edges=[[-0.32,0.32],[0.32,0.32],[0.32,-0.32],[-0.32,-0.32]]
edges=[[-0.25,0.25],[0.25,0.25],[0.25,-0.25],[-0.25,-0.25]]
edges=[[curEdge[0],curEdge[1]*yCorrFactor] for curEdge in edges]
Ydist=float(max(edges[0][0],edges[2][0]) - min(edges[0][0],edges[2][0]))/5*yCorrFactor
Xdist=float(max(edges[1][0],edges[3][0]) - min(edges[1][0],edges[3][0]))/5
outerRect=visual.Rect(window,lineWidth=0,lineColor=(-0.6,-0.6,-0.6),fillColor=(0,0,0),width=abs(edges[0][0])*5,height=abs(edges[0][0])*4*yCorrFactor,pos=(0,0))
outerRectShapeColor = visual.Rect(window,lineWidth=0,fillColor=[-0.2,-0.2,-0.2],width=abs(edges[0][0])*5*1.01,height=abs(edges[0][0])*4*yCorrFactor*1.01,pos=outerRect.pos,opacity=0.4)
defRectColor = outerRectShapeColor.fillColor
triangleDistX=0.052
triangleDistY=triangleDistX * yCorrFactor
realTriDistX = triangleDistX * 0.8
realTriDistY = triangleDistY * 1.45
triangleYAdj = 2.9
if yCorrFactor > 1.3:
textSizeInc = 0.65
realTriDistX = triangleDistX * 0.8
realTriDistY = triangleDistY * 1.45
triangleYAdj = 2.9
else:
textSizeInc = 0.45
realTriDistX = triangleDistX * 0.8
realTriDistY = triangleDistY * 1.65
triangleYAdj = 2.5
pushOut = 1.05
allPos = []
cenPos = []
for i in range(0,len(edges)):
curPos=[]
if i == 0 or i== 2:
curEdgeDist = float(max(edges[i][0],edges[i+1][0]) - min(edges[i][0],edges[i+1][0]))/5
float(max(edges[i][0],edges[i+1][0]) - min(edges[i][0],edges[i+1][0]))/2
if i == 0:
for j in range(1,5):
curPos.append([edges[i][0] + curEdgeDist*j,edges[i][1]])
else:
for j in range(1,5):
curPos.append([edges[i][0] - curEdgeDist*j,edges[i][1]])
curPos=curPos[::-1]
elif i == 1:
curEdgeDist = float(max(edges[i][1],edges[i+1][1]) - min(edges[i][1],edges[i+1][1]))/5
for j in range(1,5):
curPos.append([edges[i][0], edges[i][1] - curEdgeDist*j])
else:
curEdgeDist = float(max(edges[3][1],edges[0][1]) - min(edges[3][1],edges[0][1]))/5
for j in range(1,5):
curPos.append([edges[i][0], edges[i][1] + curEdgeDist*j])
curPos=curPos[::-1]
allPos.append(curPos)
for i in range(len(allPos)):
for j in range(len(allPos[i])):
for k in range(1):
if i == 0 or i == 2:
allPos[i][j][1] = float(allPos[i][j][1]) * pushOut
else:
allPos[i][j][0] = float(allPos[i][j][0]) * pushOut
squareOutlinePos=[]
allSquarePos=[]
allXSqPos=[]
allYSqPos=[]
yTempStart = edges[0][0]
for i in range(1,5):
allXSqPos.append(edges[0][0]+Xdist*i)
allYSqPos.append(-edges[0][1]+Ydist*i)
for i in range(0,len(allYSqPos)):
for j in range(0,len(allXSqPos)):
allSquarePos.append([allXSqPos[j],allYSqPos[i]])
allSquareRect=[]
for i in range(0,len(allSquarePos)):
allSquareRect.append(visual.Rect(window,lineWidth=shapeLWidth*2,lineColor=lineCol,fillColor=(0.4,0.4,0.4),width=Xdist,height=Ydist,pos=allSquarePos[i]))
scoreRect=visual.Rect(window,lineWidth=shapeLWidth*2,lineColor=lineCol,fillColor=(0.45,0.45,0.45),width=Xdist*2.5,height=Ydist*0.8,pos=(0,edges[0][1]*1.5))
scoreNum=visual.TextStim(window, text=curScore,color = (-1,0.2,0.2),pos=scoreRect.pos,height=Ydist*0.7)
scoreLabel=visual.TextStim(window, text="Score",color = 'black',pos=(scoreRect.pos[0],scoreRect.pos[1]+Ydist*0.8),height=Ydist*0.5)
scoreValueTexts=[visual.TextStim(window, text=0,color = (-1,-1,-1),pos=scoreRect.pos,height=Ydist*0.6) for i in range(0,4)]
beginRect=visual.Rect(window,lineWidth=shapeLWidth*2,lineColor=lineCol,fillColor=(0,0.3,0.8),width=Xdist*2,height=Ydist*0.8,pos=(0.2,edges[0][1]*-1.5))
beginText=visual.TextStim(window, text="Begin",color = (-1,-1,-1),pos=beginRect.pos,height=Ydist*0.5)
practiceRect=visual.Rect(window,lineWidth=shapeLWidth*2,lineColor=lineCol,fillColor=(0,0.3,0.8),width=Xdist*2,height=Ydist*0.8,pos=(-beginRect.pos[0],edges[0][1]*-1.5))
practiceText=visual.TextStim(window, text="Practice",color = (-1,-1,-1),pos=practiceRect.pos,height=beginText.height)
rectangles=[]
testRect=[]
unRect=[]
for i in range(0,len(edges)):
curPos=allPos[i][0]
rectangles.append(visual.Rect(window,lineWidth=shapeLWidth,lineColor=lineCol,fillColor=difColors[i],width=triangleDistX*1.4,height=triangleDistY*1.4,pos=curPos))
testRect.append(visual.Rect(window,lineWidth=shapeLWidth,lineColor=lineCol,fillColor=difColors[i],width=triangleDistX*1.4,height=triangleDistY*1.4,pos=curPos))
unRect.append(visual.Rect(window,lineWidth=shapeLWidth,lineColor=lineCol,fillColor=difColors[i],width=triangleDistX*1.4,height=triangleDistY*1.4,pos=curPos))
circles=[]
testCircles=[]
unCircles=[]
for i in range(0,len(edges)):
curPos=allPos[i][1]
curVertices = AngleCalc(float(triangleDistX)/2*1.5,0,0,yCorrFactor,90,-90)
circles.append(visual.ShapeStim(window,lineWidth=shapeLWidth,lineColor=lineCol,fillColor=difColors[i],vertices=curVertices,pos=curPos))
testCircles.append(visual.ShapeStim(window,lineWidth=shapeLWidth,lineColor=lineCol,fillColor=difColors[i],vertices=curVertices,pos=curPos))
unCircles.append(visual.ShapeStim(window,lineWidth=shapeLWidth,lineColor=lineCol,fillColor=difColors[i],vertices=curVertices,pos=curPos))
triangles=[]
testTriangles=[]
unTriangles=[]
for i in range(0,len(edges)):
curPos=allPos[i][2]
triangles.append(visual.ShapeStim(window,lineWidth=shapeLWidth,lineColor=lineCol,fillColor=difColors[i], \
vertices=((-realTriDistX,-float(realTriDistX)/2*triangleYAdj),(0,float(realTriDistY)/2),(realTriDistX,-float(realTriDistX)/2*triangleYAdj)), closeShape=True, pos=curPos))
testTriangles.append(visual.ShapeStim(window,lineWidth=shapeLWidth,lineColor=lineCol,fillColor=difColors[i], \
vertices=((-realTriDistX,-float(realTriDistX)/2*triangleYAdj),(0,float(realTriDistY)/2),(realTriDistX,-float(realTriDistX)/2*triangleYAdj)), closeShape=True, pos=curPos))
unTriangles.append(visual.ShapeStim(window,lineWidth=shapeLWidth,lineColor=lineCol,fillColor=difColors[i], \
vertices=((-realTriDistX,-float(realTriDistX)/2*triangleYAdj),(0,float(realTriDistY)/2),(realTriDistX,-float(realTriDistX)/2*triangleYAdj)), closeShape=True, pos=curPos))
diamonds=[]
testDiamonds=[]
unDiamonds=[]
diamondCorrX = 1.15
diamondCorrY = 1.6
for i in range(0,len(edges)):
curPos=allPos[i][3]
curVertices = [[0,float(triangleDistY)*diamondCorrY/2],[float(triangleDistX)*diamondCorrX/2,0],[0,-(float(triangleDistY)*diamondCorrY/2)],[-(float(triangleDistX)*diamondCorrX/2),0]]
diamonds.append(visual.ShapeStim(window,lineWidth=shapeLWidth,lineColor=lineCol,fillColor=difColors[i],vertices=curVertices,pos=curPos))
testDiamonds.append(visual.ShapeStim(window,lineWidth=shapeLWidth,lineColor=lineCol,fillColor=difColors[i],vertices=curVertices,pos=curPos))
unDiamonds.append(visual.ShapeStim(window,lineWidth=shapeLWidth,lineColor=lineCol,fillColor=difColors[i],vertices=curVertices,pos=curPos))
instRect = visual.Rect(window,lineWidth=shapeLWidth,lineColor='black',fillColor=(0,0,0),width=Xdist*4,height=Ydist*4,pos=(0,0),opacity=0.9)
borderingRects = []
borderingRects2 = []
for i in range(0,len(edges)):
if i == 0 or i ==2:
curPos=[edges[i][0]*pushOut,0]
curXSize = Xdist
curYSize = Ydist*4
else:
curPos=[0,edges[i][1]*pushOut]
curXSize = Xdist*4
curYSize = Ydist
borderingRects.append(visual.Rect(window,lineWidth=0,lineColor='black',fillColor=(0,0,0),width=curXSize,height=curYSize,pos=curPos,opacity=0.6))
borderingRects2.append(visual.Rect(window,lineWidth=shapeLWidth,lineColor='black',fillColor=(0.4,0.4,0.4),width=curXSize,height=curYSize,pos=curPos))
allShapes=[]
testShapes=[]
unShapes=[]
for i in range(0,4):
allShapes.append(rectangles[i])
allShapes.append(circles[i])
allShapes.append(triangles[i])
allShapes.append(diamonds[i])
testShapes.append(testRect[i])
testShapes.append(testCircles[i])
testShapes.append(testTriangles[i])
testShapes.append(testDiamonds[i])
unShapes.append(unRect[i])
unShapes.append(unCircles[i])
unShapes.append(unTriangles[i])
unShapes.append(unDiamonds[i])
allPosFlat=np.array(allPos)
allPosFlat=np.reshape(allPosFlat,(allPosFlat.shape[0]*allPosFlat.shape[1],allPosFlat.shape[2]))
allPosFlat=allPosFlat.tolist()
allStimNoPres = []
allStimNoPres.extend([outerRectShapeColor,outerRect,scoreRect,scoreLabel,scoreNum])
for i in range(len(allSquareRect)):
allStimNoPres.append(allSquareRect[i])
[allStimNoPres.append(borderingRects2[i]) for i in range(len(borderingRects2))]
for i in range(len(allShapes)):
allStimNoPres.append(allShapes[i])
####################### Outer loop starts here
for outerLoop in range(numTimesThroughSB):
curScore = 0
instructions='This task tests your ability to remember the ' +\
'order and spatial position in which a series of colored geometric ' +\
'shapes are presented. You will see between 2 and 4 shapes. Your job ' +\
'is to remember the order, spatial position, color, and shape of each ' +\
'item presented. After the final shape is presented, recreate the ' +\
'sequence by clicking on the correct colored shape and dragging ' +\
'it to the appropriate spatial position. The better you do the ' +\
'more points you will earn. The number of points you earn will ' +\
'increase the more you get correct without making a mistake. ' +\
'Click begin to start.'
instStim = visual.TextStim(window, text=instructions,color = (-1,-1,-1),pos=(0,0),height=triangleDistX*textSizeInc,wrapWidth = instRect.width * 0.93)
outerRect.setOpacity(0.6)
# compType = DetermineSystemType(versionNum)
# if compType == 'pc':
# myMouse = event.Mouse(win=window)
# elif compType == 'mac':
# myMouse = event.Mouse()
background.draw()
[allStimNoPres[j].draw() for j in range(len(allStimNoPres))]
outerRect.draw()
instRect.draw()
instStim.draw()
if timesThrough == 0:
if numPracticeTrials > 0:
practiceRect.draw()
practiceText.draw()
else:
beginRect.draw()
beginText.draw()
else:
beginRect.draw()
beginText.draw()
window.flip()
somethingPressed = False
while not somethingPressed:
for key in event.getKeys():
if key in ['escape']:
core.quit()
if myMouse.isPressedIn(beginRect) and timesThrough == 0:
numTimesThroughSB = 1
trialNums = [26,26]
trialTypes = ["ExperimentalTrials","ExperimentalTrials"]
somethingPressed = True
elif myMouse.isPressedIn(practiceRect):
numTimesThroughSB = 2
trialNums = [numPracticeTrials,26]
trialTypes = ["Practice","ExperimentalTrials"]
somethingPressed = True
elif myMouse.isPressedIn(beginRect) and timesThrough == 1:
somethingPressed = True
trialTypes = ["Practice","ExperimentalTrials"]
trialNum = 0
curMemSize=2
startShapeDur=0.7
curMemTrial = 0
timeBetweenShapes = 0.5
totalHighScore = 0
scoreNum.setText(curScore)
timeBetweenShapes = 1.0
startShapeDur = 0.8
trialType = trialTypes[timesThrough]
numTrials = trialNums[timesThrough]
outerRect.setOpacity(1.0)
shiftNums = [0,4,8,12]
timeShifts = [0.25]*3 + [0.5]
# jeopardy.play()
for k in range(len(timeShifts)):
for i in range(len(shiftNums)):
colorsDummy = shift(allPosFlat,shiftNums[i])
[allShapes[j].setPos(colorsDummy[j]) for j in range(len(allShapes))]
background.draw()
[allStimNoPres[j].draw() for j in range(len(allStimNoPres))]
window.flip()
countDown1 = core.CountdownTimer(timeShifts[k])
while countDown1.getTime() > 0:
doNothing = 1
[allShapes[j].setPos(allPosFlat[j]) for j in range(len(allShapes))]
background.draw()
[allStimNoPres[j].draw() for j in range(len(allStimNoPres))]
window.flip()
timesThrough += 1
#####################################Outer loop ends here
for shapeBuilderInnerLoop in range(numTrials):
myMouse.setVisible(False)
ranNumStim=[i for i in xrange(0,len(testShapes))]
random.shuffle(ranNumStim)
ranNumPos=[i for i in xrange(0,len(allSquarePos))]
random.shuffle(ranNumPos)
allSameColor=np.array([[0,1,2,3],[4,5,6,7],[8,9,10,11],[12,13,14,15]])
allSameShape=np.transpose(allSameColor)
allShapeTestPos=[i for i in range(len(allSquarePos))]
allShapeTestRandom=[i for i in range(len(allSquarePos))]
random.shuffle(allShapeTestRandom)
normList = [i for i in range(len(allSameColor))]
colorShuffle = [i for i in range(len(allSameColor))]
shapeShuffle = [i for i in range(len(allSameColor))]
random.shuffle(colorShuffle)
random.shuffle(shapeShuffle)
whatType = random.randint(0,2)
correctShapesList=[]
correctShapes=[]
correctAtt=[]
cTrialShapes=[]
positions=[]
AA=0
BB=0
oneStep = [9,10,11,18,19,20,21,22,23]
allDiff = [3,4,5,12,13,14,24,25]
if curMemSize == 4 and trialNum in [18,19,20]:
changeIt = [0,2]
random.shuffle(changeIt)
changeIt = changeIt[0]
else:
changeIt = random.randint(0,curMemSize-2)
allObjects = []
allPositions = []
for i in range(0,curMemSize):
curColor = normList[colorShuffle[AA]]
curShape = normList[shapeShuffle[BB]]
if whatType == 0:
if (trialNum in allDiff):
AA += 1
BB += 1
elif (trialNum in oneStep) and (i==changeIt):
AA += 1
BB += 1
else:
AA += 0
BB += 1
else:
if (trialNum in allDiff):
AA += 1
BB += 1
elif (trialNum in oneStep) and (i==changeIt):
AA += 1
BB += 1
else:
AA += 1
BB += 0
curObject = allSameColor[curColor][curShape]
allObjects.append(curObject)
newShape=testShapes[curObject]
newShape.setPos(allSquarePos[allShapeTestPos[allShapeTestRandom[i]]])
cTrialShapes.append(newShape)
correctShapes.append([curObject,allShapeTestPos[allShapeTestRandom[i]]])
allPositions.append(allShapeTestRandom[i])
correctAtt.append([allSameColor[curColor].tolist(),allSameShape[curShape].tolist()])
core.wait(1.0)
for i in xrange(0,len(cTrialShapes)):
background.draw()
[allStimNoPres[j].draw() for j in range(len(allStimNoPres))]
[borderingRects[j].draw() for j in range(len(borderingRects))]
window.flip()
core.wait(timeBetweenShapes)
background.draw()
[allStimNoPres[j].draw() for j in range(len(allStimNoPres))]
[borderingRects[j].draw() for j in range(len(borderingRects))]
cTrialShapes[i].draw()
window.flip()
core.wait(startShapeDur)
background.draw()
[allStimNoPres[j].draw() for j in range(len(allStimNoPres))]
window.flip()
grabbedShape = -1
# myMouse.setVisible(visible=True)
selectedShapesNum = []
timer = [core.CountdownTimer(400.0) for i in range(curMemSize)]
perfect = 0
limboShapes = []
limbShapesTime = [0,0,0,0]
coloredRectsBin = [0,0,0,0]
allScores=[]
placedShapes=[]
coloredRects=[]
lightSquare = 0
#Mouse start
myMouse.setVisible(True)
while len(selectedShapesNum) < curMemSize: #continue until keypress
if sum(limbShapesTime) > 0:
outerRectShapeColor.fillColor = defRectColor
for j in range(len(limboShapes)):
if timer[j].getTime() <= 0:
limbShapesTime[j] = 0
lightSquare = 0
background.draw()
coloredRects=[]
[allShapes[k].setPos(allPosFlat[k]) for k in range(len(allShapes))]
[allStimNoPres[j].draw() for j in range(len(allStimNoPres))]
[limboShapes[j].draw() for j in range(len(limboShapes)) if limbShapesTime[j] == 1]
[allShapes[k].draw() for k in range(len(allShapes))]
[scoreValueTexts[j].draw() for j in range(len(limboShapes)) if limbShapesTime[j] == 1]
window.flip()
for key in event.getKeys():
if key in ['escape']:
core.quit()
for i in range(0,len(allShapes)):
if myMouse.isPressedIn(allShapes[i]) == True:
grabbedShape = i
allShapes[i].setPos(myMouse.getPos())
mouse1, mouse2, mouse3 = myMouse.getPressed()
clickedOn = True
if grabbedShape <= 3 and grabbedShape > -1:
curRectCol = 0
elif grabbedShape <= 7 and grabbedShape > 3:
curRectCol = 1
elif grabbedShape <= 11 and grabbedShape > 7:
curRectCol = 2
elif grabbedShape <= 15 and grabbedShape > 11:
curRectCol = 3
outerRectShapeColor.fillColor = difColors[curRectCol]
while (clickedOn):
allShapes[grabbedShape].setPos(myMouse.getPos())
for j in range(len(allSquarePos)):
if EucDist([allShapes[grabbedShape].pos[0],allShapes[grabbedShape].pos[1]],allSquarePos[allShapeTestPos[allShapeTestRandom[j]]]) <= 0.06:
coloredRects = []
coloredRectsBin[len(selectedShapesNum)] = 1
lightSquare = 1
coloredRects.append(visual.Rect(window,lineWidth=shapeLWidth*3,lineColor=difColors[curRectCol],fillColor=(0.4,0.4,0.4),width=Xdist,height=Ydist,pos=allSquarePos[allShapeTestPos[allShapeTestRandom[j]]],opacity=0.5))
background.draw()
[allStimNoPres[j].draw() for j in range(len(allStimNoPres))]
if lightSquare == 1:
[coloredRects[k].draw() for k in range(len(coloredRects))]
[limboShapes[j].draw() for j in range(len(limboShapes)) if limbShapesTime[j] == 1]
[scoreValueTexts[j].draw() for j in range(len(limboShapes)) if limbShapesTime[j] == 1]
[allShapes[k].draw() for k in range(len(allShapes))]
window.flip()
mouse1, mouse2, mouse3 = myMouse.getPressed()
if not mouse1:
for j in xrange(0,len(allSquarePos)):
if EucDist([allShapes[grabbedShape].pos[0],allShapes[grabbedShape].pos[1]],allSquarePos[allShapeTestPos[allShapeTestRandom[j]]]) <= 0.06:
placedShapes.append(grabbedShape)
squareSel = allShapeTestPos[allShapeTestRandom[j]]
selectedShapesNum.append(squareSel)
if lightSquare == 1:
[coloredRects[k].draw() for k in range(len(coloredRects))]
unShapes[grabbedShape].setPos(allSquarePos[squareSel])
unShapes[grabbedShape].draw()
ShapeSet = True
curShapeVal = 0
if squareSel == correctShapes[len(selectedShapesNum)-1][1]:
if grabbedShape == correctShapes[len(selectedShapesNum)-1][0]:
if len(selectedShapesNum)-1 == 0 or perfect == 0:
curShapeVal = 15
else:
curShapeVal = int(scoreValueTexts[len(selectedShapesNum)-2].text) * 2
perfect = 1
elif grabbedShape in correctAtt[len(selectedShapesNum)-1][1]:
curShapeVal = 10
perfect = 0
elif squareSel == correctShapes[len(selectedShapesNum)-1][1]:
curShapeVal = 5
perfect = 0
else :
curShapeVal = 0
perfect = 0
curScore += curShapeVal
# scoreNum.setText(curScore)
allScores.append(curShapeVal)
[allShapes[k].setPos(allPosFlat[k]) for k in range(len(allShapes))]
scoreValueTexts[len(selectedShapesNum)-1].setText(curShapeVal)
scoreValueTexts[len(selectedShapesNum)-1].setPos(allSquarePos[squareSel])
timer[len(selectedShapesNum)-1] = core.CountdownTimer(1.5)
unShapes[grabbedShape].setPos(allSquarePos[squareSel])
limboShapes.append(unShapes[grabbedShape])
limbShapesTime[len(selectedShapesNum)-1] = 1
clickedOn = False
background.draw()
[allStimNoPres[k].draw() for k in range(len(allStimNoPres))]
if lightSquare == 1:
[coloredRects[k].draw() for k in range(len(coloredRects))]
[limboShapes[k].draw() for k in range(len(limboShapes)) if limbShapesTime[k] == 1]
[scoreValueTexts[k].draw() for k in range(len(limboShapes)) if limbShapesTime[k] == 1]
[allShapes[k].draw() for k in range(len(allShapes))]
clickedOn = False
if sum(limbShapesTime) > 0:
for j in range(len(limboShapes)):
if timer[j].getTime() <= 0:
limbShapesTime[j] = 0
background.draw()
[allStimNoPres[j].draw() for j in range(len(allStimNoPres))]
if lightSquare == 1:
[coloredRects[k].draw() for k in range(len(coloredRects))]
[limboShapes[j].draw() for j in range(len(limboShapes)) if limbShapesTime[j] == 1]
[scoreValueTexts[j].draw() for j in range(len(limboShapes)) if limbShapesTime[j] == 1]
[allShapes[k].draw() for k in range(len(allShapes))]
window.flip()
if clickedOn == False:
outerRectShapeColor.fillColor = defRectColor
lightSquare = 0
if sum(limbShapesTime) > 0:
for j in range(len(limboShapes)):
if timer[j].getTime() <= 0:
limbShapesTime[j] = 0
lightSquare = 0
background.draw()
coloredRects=[]
[allShapes[k].setPos(allPosFlat[k]) for k in range(len(allShapes))]
[allStimNoPres[j].draw() for j in range(len(allStimNoPres))]
[limboShapes[j].draw() for j in range(len(limboShapes)) if limbShapesTime[j] == 1]
[scoreValueTexts[j].draw() for j in range(len(limboShapes)) if limbShapesTime[j] == 1]
[allShapes[k].draw() for k in range(len(allShapes))]
window.flip()
else:
background.draw()
[allShapes[k].setPos(allPosFlat[k]) for k in range(len(allShapes))]
[allStimNoPres[j].draw() for j in range(len(allStimNoPres))]
[allShapes[k].draw() for k in range(len(allShapes))]
window.flip()
event.clearEvents()#get rid of other, unprocessed events
countDown3 = core.CountdownTimer(0.5)
while countDown3.getTime() > 0:
doNothing = 1
if (curScore - int(scoreNum.text)) <= 0:
scoreTime = 0.1
else:
scoreTime = (0.75/(curScore - int(scoreNum.text)))*0.25
countDown1 = core.CountdownTimer(1.5)
countDown2 = core.CountdownTimer(0)
if curScore - int(scoreNum.text) < 45:
curInc = 1
elif curScore - int(scoreNum.text) < 100:
curInc = 5
else:
curInc = 10
while countDown1.getTime() > 0:
countDown2.add(scoreTime)
if (curScore - int(scoreNum.text)) < 11:
curInc = 1
if int(scoreNum.text) < curScore:
scoreNum.setText(int(scoreNum.text) + curInc)
else:
scoreNum.setText(curScore)
DrawStimuliFlip([background] + allShapes + allStimNoPres + allShapes,window)
while countDown2.getTime() > 0:
doNothing = 1
scoreNum.setText(curScore)
background.draw()
[allShapes[i].setPos(allPosFlat[i]) for i in range(len(allShapes))]
[allStimNoPres[j].draw() for j in range(len(allStimNoPres))]
window.flip()
posHighSchores = [15,30,60,120]
maxScoreTrial = sum(posHighSchores[0:curMemSize])
totalHighScore += maxScoreTrial
if WriteData == True:
thisExp.addData("Trial", trialNum)
thisExp.addData("CurrentMemorySetSize", curMemSize)
thisExp.addData("TimeBetweenShapes", timeBetweenShapes)
thisExp.addData("ShapeDuration", startShapeDur)
thisExp.addData("TrialType", trialType)
thisExp.addData("CurrentScore", curScore)
thisExp.addData("MaxScore_Trial", maxScoreTrial)
thisExp.addData("MaxScore_Total", totalHighScore)
for temp in range(len(selectedShapesNum)):
thisExp.addData("Shape_" + str(temp+1) + "_DraggedTo", selectedShapesNum[temp])
thisExp.addData("Shape_" + str(temp+1) + "_Score", allScores[temp])
thisExp.addData("Shape_" + str(temp+1) + "_Placed", placedShapes[temp])
thisExp.addData("Shape_" + str(temp+1) + "_CorrectShape", allObjects[temp])
thisExp.addData("Shape_" + str(temp+1) + "_CorrectPosition", allPositions[temp])
for temp2 in range(len(correctAtt[temp])):
thisExp.addData("Shape_" + str(temp+1) + "_CorrectColors", correctAtt[temp][0][temp2])
thisExp.addData("Shape_" + str(temp+1) + "_CorrectShapes", correctAtt[temp][1][temp2])
curMemTrial += 1
trialNum += 1
startShapeDur -= 0.1
timeBetweenShapes -= 0.4
whenToInc = [6,15]
if curMemTrial in whenToChange:
timeBetweenShapes = 1.0
startShapeDur = 0.8
if trialNum in whenToInc:
curMemSize += 1
startShapeDur=1.0
curMemTrial = 0
####Inner Loop end
doneText = visual.TextStim(window, text="You are done with the experiment. \
Press the SPACEBAR to end the task.",color = (1,-1,-1),pos=(0,0),height=0.03,wrapWidth = instRect.width * 0.95)
background.draw()
scoreRect.draw()
scoreNum.draw()
scoreLabel.draw()
doneText.draw()
window.flip()
event.waitKeys(keyList='space')
if WriteData==True:
thisExp.addData("FinalScore", curScore)
return curScore
def batch_generator_npz(files,
train_csv_table,
batch_size,
pad=600,
print_padded=False,
number=1):
print('new generator created')
number_of_batches = np.ceil(len(files) / batch_size)
counter = 0
random.shuffle(files)
# next_files = copy.deepcopy(files)
# failed = 0
while True:
# batch_files = files[batch_size*counter+failed:batch_size*(counter+1)+failed]
image_list = []
mask_list = []
success = 0
problem_files = []
batch_files = files[batch_size * counter:batch_size * (counter + 1)]
# for f in files[batch_size*counter+failed:]:
for f in batch_files:
if print_padded:
print(f, number)
print(files[batch_size * counter:batch_size * (counter + 1)])
# if success==batch_size:
# break
# try:
if print_padded:
print("loading")
image = np.load(f, mmap_mode='r')
if print_padded:
print(type(image))
print(sys.getsizeof(image))
# print(image.shape)
print(image.files)
image = image['arr_0'][:pad]
if print_padded:
print(type(image))
print(len(image))
print(sys.getsizeof(image))
print(image.shape)
# except:
# print("couldn't load")
if print_padded:
print('loaded %s %s' % (f, number))
padded_image = np.zeros((pad, 512, 32, 32))
len_image = min(len(image), pad)
# print(len_image)
# image = np.expand_dims(np.expand_dims(image[:512], 1),0)
# print(image.shape)
# print(len_image)
padded_image[:len_image, :, :, :] = image[:pad]
if print_padded:
print('padded %s %s' % (f, number))
image_list.append(padded_image)
patient_id = os.path.basename(os.path.dirname(f))
success += 1
try:
is_cancer = train_csv_table.loc[train_csv_table['id'] ==
patient_id]['cancer'].values[0]
if is_cancer == 0:
mask = [1, 0]
# mask = [1]
else:
mask = [0, 1]
# mask = [0]
except:
# print('Problem with %s' % patient_id)
mask = [0.5, 0.5]
mask_list.append(mask)
counter += 1
mask_list = np.array(mask_list)
image_list = np.array(image_list)
del padded_image, image
if print_padded:
print(len(image_list))
print(image_list[0].shape)
yield image_list, mask_list
del image_list, mask_list
if counter == number_of_batches:
random.shuffle(files)
counter = 0
failed = 0
exec('{} = thisTrial[paramName]'.format(paramName))
for thisTrial in trials:
currentLoop = trials
# abbreviate parameter names if possible (e.g. rgb = thisTrial.rgb)
if thisTrial != None:
for paramName in thisTrial:
exec('{} = thisTrial[paramName]'.format(paramName))
# ------Prepare to start Routine "trial"-------
t = 0
trialClock.reset() # clock
frameN = -1
continueRoutine = True
# update component parameters for each repeat
random.shuffle(Letters)
random.shuffle(Tpos)
if Tpos[0] == 8:
P1.setText(Letters[0])
P2.setText(Letters[1])
P3.setText(Letters[2])
P4.setText(Letters[3])
P5.setText(Letters[4])
P6.setText(Letters[5])
P7.setText(Letters[6])
P8.setText(Target)
P9.setText(Letters[7])
P10.setText(Letters[8])
P11.setText(Letters[9])
P12.setText(Letters[10])
idxFirst4 = int(idx4[0]) idxLast4 = int(idx4[1]) imMale=MaleImages[idxFirst1:idxLast1] imFemale=FemaleImages[idxFirst2:idxLast2] imIndoor=IndoorImages[idxFirst3:idxLast3] imOutdoor=OutdoorImages[idxFirst4:idxLast4] Range1 = list(range(idxLast1)) Range2 = list(range(idxLast2)) Range3 = list(range(idxLast3)) Range4 = list(range(idxLast4)) #Shuffling random.shuffle(Range1) random.shuffle(Range2) random.shuffle(Range3) random.shuffle(Range4) #Select images numType1=int(num_trials/2) numType2=num_trials-numType1 list1 = Range1[0:(numType1+1)] selectedImages1 = [imMale[i] for i in list1] list2 = Range2[0:(numType2+1)] selectedImages2 = [imFemale[i] for i in list2] list3 = Range3[0:(numType1+1)] selectedImages3 = [imIndoor[i] for i in list3] list4 = Range4[0:(numType2+1)]
text='Incorrect',font=u'Arial',
pos=(0, -0.75), height=0.2, wrapWidth=None, ori=0,
color=u'red', colorSpace='rgb', opacity=1,
depth=0)
###Indexing Image###
# index the images for high, medium and low frequencies for later selection
#indices_all = (np.random.choice(len(Imagelist), 104, replace=False)).tolist()
indices_all = list(range(104))
indices_low = indices_all[:80]
indices_medium = indices_all[80:96]
indices_high = indices_all[96:104]
# select corresponding images
random.shuffle(Imagelist1)
stim_image_high1 = [Imagelist1[i] for i in indices_high]*10
stim_image_medium1 = [Imagelist1[i] for i in indices_medium]*5
stim_image_low1 = [Imagelist1[i] for i in indices_low]
stim_image1 = Practicelist*3 + stim_image_high1 +stim_image_medium1 + stim_image_low1
print(stim_image1)
random.shuffle(Imagelist2)
stim_image_high2 = [Imagelist2[i] for i in indices_high]*10
stim_image_medium2 = [Imagelist2[i] for i in indices_medium]*5
stim_image_low2 = [Imagelist2[i] for i in indices_low]
stim_image2 = Practicelist*3 + stim_image_high2 +stim_image_medium2 + stim_image_low2
print (stim_image2)
##########Timing##########
trials = 240
# store frame rate of monitor if we can measure it
expInfo['frameRate'] = win.getActualFrameRate()
if expInfo['frameRate'] != None:
frameDur = 1.0 / round(expInfo['frameRate'])
else:
frameDur = 1.0 / 60.0 # could not measure, so guess
# Initialize components for Routine "set_trial_blocks"
set_trial_blocksClock = core.Clock()
import random
import pandas as pd
block_ranges = pd.read_csv('choose_blocks.csv')
# Prepare experiment blocks
block_ranges_exp = list(block_ranges.choose_blocks_exp)
random.shuffle(block_ranges_exp)
# Initialize components for Routine "instructPractice"
instructPracticeClock = core.Clock()
instr_practice = visual.TextStim(
win=win,
name='instr_practice',
text=
'Recuerda, ignora la palabra.\n\nPresiona:\nf para letras rojas\nj para letras verdes\n"espacio" para letras azules\n\nVamos a comenzar con unos ejercicios de práctica\n\nPresiona cualquier tecla para comenzar',
font='Arial',
pos=[0, 0],
height=0.07,
wrapWidth=None,
ori=0,
color='white',
colorSpace='rgb',
#Loop to run the trials
for exp_runN in range(total_runs):
#read the story file and prepare the letters to be displayed
song_files = [f for f in os.listdir('songs')]
filename = 'songs/' + song_files[song_index]
logging.exp("Story file displayed: " + str(filename))
storyfile = codecs.open(filename, encoding='utf-8')
real_artist = song_files[song_index].split('-')[0].replace('_', ' ')
fake_artist = real_artist
while fake_artist == real_artist:
fake_artist = song_files[random.randint(
0,
len(song_files) - 1)].split('-')[0].replace('_', ' ')
artists = [real_artist, fake_artist]
random.shuffle(artists)
artist_choice_text = "%s oder %s" % tuple(artists)
logging.exp("artist order: %s" % artists)
song_index += 1
letters = storyfile.read()
letters = ' '.join(letters.split()) + ' '
storyfile.close()
letter_counter = -1
temporal_combi_list = combi.combination_for_run()
#Trial_times=[int(random.uniform(5,9)) for i in xrange(len(temporal_combi_list))]
Trial_times = [4 for i in xrange(len(temporal_combi_list))]
Instructions = visual.TextStim(
if __name__ == '__main__':
# begin the unittest.main()
unittest.main()
#%%
import random
import nltk
from nltk.corpus import movie_reviews
print(nltk.pos_tag(nltk.word_tokenize('Albert Einstein was born in Ulm, Germany in 1879.')))
print(movie_reviews.categories(), len(movie_reviews.fileids()), len(movie_reviews.words()))
documents = [(list(movie_reviews.words(fileid)), category)
for category in movie_reviews.categories()
for fileid in movie_reviews.fileids(category)]
random.shuffle(documents)
all_words = nltk.FreqDist(w.lower() for w in movie_reviews.words())
word_features = list(all_words)[:2000]
def document_features(document):
document_words = set(document)
features = {}
for word in word_features:
features['contains({})'.format(word)] = (word in document_words)
return features
print(document_features(movie_reviews.words('pos/cv957_8737.txt')))
#{'contains(waste)': False, 'contains(lot)': False, ...}
featuresets = [(document_features(d), c) for (d,c) in documents]
train_set, test_set = featuresets[100:], featuresets[:100]
classifier = nltk.NaiveBayesClassifier.train(train_set)
print(nltk.classify.accuracy(classifier, test_set))
color=[-1.000,-1.000,-1.000], colorSpace='rgb', opacity=1,
depth=-1.0) for x in range (30)]
# the random order is printed in order to trace back the order trials were presented in
# N.B change program to save this order in a file instead of printing
print randomori
# Create some handy timers
globalClock = core.Clock() # to track the time since experiment started
routineTimer = core.CountdownTimer() # to track time remaining of each (non-slip) routine
# create Expnr a shuffled list of nrs 0 to 30 in order to be able to call trials in a random
# order. Changing the seed allows you to generate a new random order for each participant
random.seed(int(expInfo['session']))
x= [[i] for i in range (30)]
random.shuffle(x)
Expnr=[x[i][0] for i in range (30)]
for z in range (30):
#------Prepare to start Routine "Target"-------
t = 0
TargetClock.reset() # clock
frameN = -1
routineTimer.add(5.000000)
# update component parameters for each repeat
# keep track of which components have finished
TargetComponents = []
TargetComponents.append(text)
TargetComponents.append(targetstim[Expnr[z]])
for thisComponent in TargetComponents:
expInfo['frameRate'] = win.getActualFrameRate()
if expInfo['frameRate'] != None:
frameDur = 1.0 / round(expInfo['frameRate'])
else:
frameDur = 1.0 / 60.0 # could not measure, so guess
# Initialize components for Routine "set_trial_blocks"
set_trial_blocksClock = core.Clock()
import random
import pandas as pd
block_ranges = pd.read_csv('choose_blocks.csv')
# Prepare practice blocks
block_ranges_practice = list(block_ranges.choose_blocks_practice)
print(block_ranges_practice)
random.shuffle(block_ranges_practice)
# Prepare experiment blocks
block_ranges_exp = list(block_ranges.choose_blocks_exp)
random.shuffle(block_ranges_exp)
print (2, block_ranges_exp)
# Initialize components for Routine "instructPractice"
instructPracticeClock = core.Clock()
instr1 = visual.TextStim(win=win, name='instr1',
text=u'Recuerda, ignora la palabra.\n\nPresiona:\nIzquierda para letras rojas\nAbajo para letras verdes\nDerecha para letras azules\n\nVamos a comenzar con unos ejercicios de pr\xe1ctica\n\nPresiona cualquier tecla para comenzar',
font='Arial',
pos=[0, 0], height=0.1, wrapWidth=None, ori=0,
color='white', colorSpace='rgb', opacity=1,
depth=0.0);
# ------Prepare to start Routine "trial"-------
continueRoutine = True
# update component parameters for each repeat
import random
# Shuffle answers to appear at random positions each time
# Uncomment if needed
#ansList = [ans1, ans2, ans3, ans4]
#random.shuffle(ansList)
#ans4 = ansList.pop(-1)
#ans3 = ansList.pop(-1)
#ans2 = ansList.pop(-1)
#ans1 = ansList.pop(-1)
colorList = ['red', 'green', 'blue', (255, 255, 0)]
random.shuffle(colorList)
c1 = colorList[0]
c2 = colorList[1]
c3 = colorList[2]
c4 = colorList[3]
text.setText(textStim)
q.setText(question)
a1.setColor(c1, colorSpace='rgb')
a1.setText(ans1)
a2.setColor(c2, colorSpace='rgb')
a2.setText(ans2)
a3.setColor(c3, colorSpace='rgb')
a3.setText(ans3)
a4.setColor(c4, colorSpace='rgb')
a4.setText(ans4)
# setup some python lists for storing info about the resp