Any method of the numpy.array class can be called by a NumPyRingBuffer instance,
however numpy.array module funtions will not accept a NumPyRingBuffer as input.
@author: Sol
"""
from psychopy.iohub.util import NumPyRingBuffer
# Create a ring buffer with a maximum size of 10 elements. AS more than 10 elements
# are added using append(x), each new element removed the oldeest element in
# the buffer. The default data type is numpy.float32. To change the type to a
# different numpy scalar value (for example numpy.uint, numpy ubyte, etc),
# use the dtype parameter of NumPyRingBuffer.
ring_buffer = NumPyRingBuffer(10)
# Add 25 values to the ring buffer, between 1 and 25 inclusive.
# Print out info about the ring buffer and ring buffer contents state
# after each element is added.
#
for i in xrange(1, 26):
ring_buffer.append(i)
print '-------'
print 'Ring Buffer Stats:'
print '\tWindow size: ', len(ring_buffer)
print '\tMin Value: ', ring_buffer.min()
print '\tMax Value: ', ring_buffer.max()
print '\tMean Value: ', ring_buffer.mean()
print '\tStandard Deviation: ', ring_buffer.std()
print '\tFirst 3 Elements: ', ring_buffer[:3]
print '\tLast 3 Elements: ', ring_buffer[-3:]
stim2_type=stim2.__class__.__name__+u' '
while True:
# For the textBox and TextStim resource, change the text every
# chng_txt_each_flips, and record the time it takes to update the text
# and redraw() each resource type.
#
# Make sure timing of stim is for the time taken for that stim alone. ;)
gl.glFlush()
gl.glFinish()
if fcount==0 or fcount%chng_txt_each_flips==0:
t=getRandomString(text_length)
stim1_dur=updateStimText(stim1,stim1_type+t)
stim1_txt_change_draw_times.append(stim1_dur)
t=getRandomString(text_length)
stim2_dur=updateStimText(stim2,stim2_type+t)
stim2_txt_change_draw_times.append(stim2_dur)
else:
stim1_dur=updateStimText(stim1)
stim1_no_change_draw_times.append(stim1_dur)
stim2_dur=updateStimText(stim2)
stim2_no_change_draw_times.append(stim2_dur)
# Update the display to show stim changes
flip_time=window.flip()
fcount+=1
# End the test when a keyboard event is detected or when max_flip_count
# win.flip() calls have been made.
stim2_type=stim2.__class__.__name__+u' '
while True:
# For the textBox and TextStim resource, change the text every
# chng_txt_each_flips, and record the time it takes to update the text
# and redraw() each resource type.
#
# Make sure timing of stim is for the time taken for that stim alone. ;)
gl.glFlush()
gl.glFinish()
if fcount==0 or fcount%chng_txt_each_flips==0:
t=getRandomString(text_length)
stim1_dur=updateStimText(stim1,stim1_type+t)
stim1_txt_change_draw_times.append(stim1_dur)
t=getRandomString(text_length)
stim2_dur=updateStimText(stim2,stim2_type+t)
stim2_txt_change_draw_times.append(stim2_dur)
else:
stim1_dur=updateStimText(stim1)
stim1_no_change_draw_times.append(stim1_dur)
stim2_dur=updateStimText(stim2)
stim2_no_change_draw_times.append(stim2_dur)
# Update the display to show stim changes
flip_time=window.flip()
fcount+=1
# End the test when a keyboard event is detected or when max_flip_count
# win.flip() calls have been made.
Values can be appended to the ring buffer and accessed using slice notation.
Any method of the numpy.array class can be called by a NumPyRingBuffer instance,
however numpy.array module funtions will not accept a NumPyRingBuffer as input.
@author: Sol
"""
from psychopy.iohub.util import NumPyRingBuffer
# Create a ring buffer with a maximum size of 10 elements. AS more than 10 elements
# are added using append(x), each new element removed the oldeest element in
# the buffer. The default data type is numpy.float32. To change the type to a
# different numpy scalar value (for example numpy.uint, numpy ubyte, etc),
# use the dtype parameter of NumPyRingBuffer.
ring_buffer=NumPyRingBuffer(10)
# Add 25 values to the ring buffer, between 1 and 25 inclusive.
# Print out info about the ring buffer and ring buffer contents state
# after each element is added.
#
for i in xrange(1,26):
ring_buffer.append(i)
print '-------'
print 'Ring Buffer Stats:'
print '\tWindow size: ',len(ring_buffer)
print '\tMin Value: ',ring_buffer.min()
print '\tMax Value: ',ring_buffer.max()
print '\tMean Value: ',ring_buffer.mean()
print '\tStandard Deviation: ',ring_buffer.std()
print '\tFirst 3 Elements: ',ring_buffer[:3]
print '\tLast 3 Elements: ',ring_buffer[-3:]
