gistfile1.txt

# Import the necessary modules
import random
import math
from openexp.canvas import canvas
from openexp.mouse import mouse

# Define some general properties of the experiment

#self.get() - the get method 
SS = self.get("SetSize")
TC=self.get("TargCol")
DS=self.get("DistCol")
PA=self.get("PresAbs")
#light=rgb(190,190,190)
#dark=rgb(160,160,160)
if TC=="dark":
	T_C='rgb(255,0,0)'
if TC=="light": 
	T_C='rgb(0,255,0)'

if DS=="dark":
	D_C='rgb(255,0,0)'
if DS=="light": 
	D_C='rgb(0,255,0)'

#NStim = random.randint(1, 4)
NStim = SS
NTarget = 1
NFrames = 100
maxRotSpeed = .9
firstFrameDur = 500
#targetColor = 'red'
targetColor = T_C
normalColor = D_C




# Create a list of stimuli, with various properties. v = item velocity; r = object size
stimList = []
for i in range(NStim):
		x = random.randint(0, self.get('width'))
		y = random.randint(0, self.get('height'))
		a = random.random() * 2*math.pi
		v =8
		r = 3
		stimList.append( (x, y, a, v, r) )

# Create a canvas
# (See documentation: http://osdoc.cogsci.nl/python-inline-code/canvas-functions)
myCanvas = canvas(exp)

# Loop through all frames
for j in range(NFrames):

		# For each frame, clear the canvas and then loop through all stimuli
		myCanvas.clear()
		for i in range(NStim):
				# Get the stimulus properties
				x, y, a, v, r = stimList[i]
				# Update the position of the stimulus based on the angle and the speed
				x += v * math.cos(a)
				y += v * math.sin(a)   
				# If the stimulus leaves the screen, reverse direction by 180 deg (= 1pi radial)
				if x <= 0 or x >= self.get('width') or y <= 0 or y >= self.get('height'):
						a = a + math.pi
				else:
						# else randomly rotate the stimulus a bit
						a += (random.random()-.5) * maxRotSpeed                
				# Highlight the targets on the first frame
				if i < NTarget:
					color = targetColor
				else:
						color = normalColor                    
				# Draw the stimulus
				myCanvas.circle(x, y, r, fill=True, color=color)
				# Store the new stimulus properties back in the stimulus list
				stimList[i] = x, y, a, v, r
		# Show the canvas      
		myCanvas.show()
		# Sleep after the first frame so that the participant can identify the targets
		if j == 0:
				self.sleep(firstFrameDur)
# Store the coordinates of the stimuli in the last frame, in order to compare
# the mouse click responses with the actual positions

stimID = 0
# Loop through the stimulus list
for stimProperties in stimList:
		stimID +=1
		# By setting variables with the exp.set() function you make sure the variables
		# are also available in the GUI (notably, the logger item)
		exp.set("xStim"+str(stimID), stimProperties[0])
		exp.set("yStim"+str(stimID), stimProperties[1])

# Collect response
responseID = 0
for i in range(NTarget):
		responseID +=1
		print responseID
		# Initiate a mouse object
		# (See documentation: http://osdoc.cogsci.nl/python-inline-code/mouse-functions)
		my_mouse = mouse(exp, visible = True)
		# Collect the response
		button, position, timestamp = my_mouse.get_click()
		# Set the x and y coordinates of the response so that they will be logged by the
		# logger item. Position is an (x,y) tuple in screen coordinates
		exp.set("xMouseClick"+str(responseID), position[0])
		exp.set("yMouseClick"+str(responseID), position[1])