def __init__(self, device, event_type, event_attribute_conditions={}, repeat_count=-1,
trigger_function=lambda a, b, c: True, user_kwargs={}):
Trigger.io = ioHubConnection.getActiveConnection()
Trigger.__init__(self, trigger_function, user_kwargs, repeat_count)
self.device = device
self.event_type = event_type
self.event_attribute_conditions = event_attribute_conditions
def __init__(self,
start_time,
delay,
repeat_count=0,
trigger_function=lambda a, b, c: True,
user_kwargs={}):
Trigger.io = ioHubConnection.getActiveConnection()
Trigger.__init__(self, trigger_function, user_kwargs, repeat_count)
self._start_time = start_time
if start_time is None or not callable(start_time):
def startTimeFunc():
if self._start_time is None:
self._start_time = getTime()
return self._start_time
self.startTime = startTimeFunc
else:
self.startTime = start_time
self.delay = delay
if not callable(delay):
def delayFunc():
return delay
self.delay = delayFunc
def stopHubProcess():
from psychopy.iohub.client import ioHubConnection
io = ioHubConnection.getActiveConnection()
assert io != None
io_proc = Computer.getIoHubProcess()
io_proc_pid = io_proc.pid
assert io_proc != None and psutil.pid_exists(io_proc_pid)
# Stop iohub server, ending process.
io.quit()
# Enure iohub proc has terminated.
assert not psutil.pid_exists(io_proc_pid)
assert ioHubConnection.getActiveConnection() is None
def stopHubProcess():
from psychopy.iohub.client import ioHubConnection
io = ioHubConnection.getActiveConnection()
assert io != None
io_proc = Computer.getIoHubProcess()
io_proc_pid = io_proc.pid
assert io_proc != None and psutil.pid_exists(io_proc_pid)
# Stop iohub server, ending process.
io.quit()
# Enure iohub proc has terminated.
assert not psutil.pid_exists(io_proc_pid)
assert ioHubConnection.getActiveConnection() is None
def __init__(self, key, on_press=False):
Trigger.io = ioHubConnection.getActiveConnection()
if on_press:
etype = EventConstants.KEYBOARD_PRESS
else:
etype = EventConstants.KEYBOARD_RELEASE
DeviceEventTrigger.__init__(self, self.io.devices.keyboard, event_type=etype,
event_attribute_conditions={'key': key})
def __init__(self, trigger_function=lambda a, b, c: True, user_kwargs={}, repeat_count=0):
Trigger.io = ioHubConnection.getActiveConnection()
self.trigger_function = trigger_function
self.user_kwargs = user_kwargs
self._last_triggered_event = None
self._last_triggered_time = None
self.repeat_count = repeat_count
self.triggered_count = 0
def __init__(
self,
bounds=None,
shape=None, # Defines the number of columns and rows of
# positions needed. If shape is an array of
# two elements, it defines the col,row shape
# for position layout. Position count will
# equal rows*cols. If shape is a single
# int, the position grid col,row shape will
# be shape x shape.
posCount=None, # Defines the number of positions to create
# without any col,row position constraint.
leftMargin=None, # Specify the minimum valid horz position.
rightMargin=None, # Limit horz positions to be < max horz
# position minus rightMargin.
topMargin=None, # Limit vert positions to be < max vert
# position minus topMargin.
bottomMargin=None, # Specify the minimum valid vert position.
scale=1.0, # Scale can be one or two numbers, each
# between 0.0 and 1.0. If a tuple is
# provided, it represents the horz, vert
# scale to be applied to window width,
# height. If a single number is
# given, the same scale will be applied to
# both window width and height. The scaled
# window size is centered on the original
# window size to define valid position area.
posList=None, # Provide an existing list of (x,y)
# positions. If posList is provided, the
# shape, posCount, margin and scale arg's
# are ignored.
noiseStd=None, # Add a random shift to each position based
# on a normal distribution with mean = 0.0
# and sigma equal to noiseStd. Specify
# value based on units being used.
firstposindex=0, # Specify which position in the position
# list should be displayed first. This
# position is not effected by randomization.
repeatFirstPos=False # If the first position in the list should
# be provided as the last position as well,
# set to True. In this case, the number of
# positions returned will be position
# count + 1. False indicated the first
# position should not be repeated.
):
"""
PositionGrid provides a flexible way to generate a set of x,y position
values within the boundaries of the psychopy window object provided.
The class provides a set of arguments that represent commonly needed
constraints when creating a target position list, supporting a
variety of position arrangements.
PositionGrid supports the len() function, and returns the number of
positions generated based on the supplied parameters. If repeatFirstPos
is true, len(posgrid) == number of unique positions + 1 (a repeat of the
first position value).
PositionGrid is a generator, so the normal way to access the positions from
the class is to use a for loop or with statement:
posgrid = PositionGrid(....)
for pos in posgrid:
# do something cool with the pos
print(pos)
:param bounds:
:param shape:
:param posCount:
:param leftMargin:
:param rightMargin:
:param topMargin:
:param bottomMargin:
:param scale:
:param posList:
:param noiseStd:
:param firstposindex:
:param repeatFirstPos:
"""
self.posIndex = 0
self.positions = None
self.posOffsets = None
self.bounds = bounds
if self.bounds is None:
self.bounds = ioHubConnection.getActiveConnection(
).devices.display.getCoordBounds()
winSize = self.bounds[2] - self.bounds[0], self.bounds[
3] - self.bounds[1]
self.firstposindex = firstposindex
self.repeatfirstpos = repeatFirstPos
self.horzStd, self.vertStd = None, None
if noiseStd:
if hasattr(noiseStd, '__len__'):
self.horzStd, self.vertStd = noiseStd
else:
self.horzStd, self.vertStd = noiseStd, noiseStd
horzScale, vertScale = None, None
if scale:
if hasattr(scale, '__len__'):
horzScale, vertScale = scale
else:
horzScale, vertScale = scale, scale
rowCount, colCount = None, None
if shape:
if hasattr(shape, '__len__'):
colCount, rowCount = shape
else:
rowCount, colCount = shape, shape
if posList:
# User has provided the target positions, use posList to set
# self.positions as array of x,y pairs.
if len(posList) == 2 and len(posList[0]) != 2 and len(
posList[0]) == len(posList[1]):
# positions were provided in ((x1,x2,..,xn),(y1,y2,..,yn))
# format
self.positions = np.column_stack((posList[0], posList[1]))
elif len(posList[0]) == 2:
self.positions = np.asarray(posList)
else:
raise ValueError(
'PositionGrid posList kwarg must be in ((x1,y1),(x2,y2),..,(xn,yn))'
' or ((x1,x2,..,xn),(y1,y2,..,yn)) format')
if self.positions is None and (posCount or (rowCount and colCount)):
# Auto generate position list based on criteria
# provided.
if winSize is not None:
pixw, pixh = winSize
xmin = 0.0
xmax = 1.0
ymin = 0.0
ymax = 1.0
if leftMargin:
if leftMargin < pixw:
xmin = leftMargin / pixw
else:
raise ValueError(
'PositionGrid leftMargin kwarg must be < winSize[0]'
)
if rightMargin:
if rightMargin < pixw:
xmax = 1.0 - rightMargin / pixw
else:
raise ValueError(
'PositionGrid rightMargin kwarg must be < winSize[0]'
)
if topMargin:
if topMargin < pixh:
ymax = 1.0 - topMargin / pixh
else:
raise ValueError(
'PositionGrid topMargin kwarg must be < winSize[1]'
)
if bottomMargin:
if bottomMargin < pixh:
ymin = bottomMargin / pixh
else:
raise ValueError(
'PositionGrid bottomMargin kwarg must be < winSize[1]'
)
if horzScale:
if 0.0 < horzScale <= 1.0:
xmin += (1.0 - horzScale) / 2.0
xmax -= (1.0 - horzScale) / 2.0
else:
raise ValueError(
'PositionGrid horzScale kwarg must be 0.0 > horzScale <= 1.0'
)
if vertScale:
if 0.0 < vertScale <= 1.0:
ymin += (1.0 - vertScale) / 2.0
ymax -= (1.0 - vertScale) / 2.0
else:
raise ValueError(
'PositionGrid vertScale kwarg must be 0.0 > vertScale <= 1.0'
)
if posCount:
colCount = int(np.sqrt(posCount))
rowCount = colCount
xps = np.random.uniform(xmin, xmax,
colCount) * pixw - pixw / 2.0
yps = np.random.uniform(ymin, ymax,
rowCount) * pixh - pixh / 2.0
else:
xps = np.linspace(xmin, xmax, colCount) * pixw - pixw / 2.0
yps = np.linspace(ymin, ymax, rowCount) * pixh - pixh / 2.0
xps, yps = np.meshgrid(xps, yps)
self.positions = np.column_stack(
(xps.flatten(), yps.flatten()))
else:
raise ValueError(
'PositionGrid posCount kwarg also requires winSize to be provided.'
)
if self.positions is None:
raise AttributeError(
'PositionGrid is unable to generate positions based on the provided kwargs.'
)
if self.firstposindex and self.firstposindex > 0:
fpos = self.positions[self.firstposindex]
self.positions = np.delete(self.positions, self.firstposindex, 0)
self.positions = np.insert(self.positions, 0, fpos, 0)
self._generatePosOffsets()
def __init__(self, device=-1, bufferSize=10000, waitForStart=False, clock=None, backend=None):
"""Create the device (default keyboard or select one)
Parameters
----------
device: int or dict
On Linux/Mac this can be a device index
or a dict containing the device info (as from :func:`getKeyboards`)
or -1 for all devices acting as a unified Keyboard
bufferSize: int
How many keys to store in the buffer (before dropping older ones)
waitForStart: bool (default False)
Normally we'll start polling the Keyboard at all times but you
could choose not to do that and start/stop manually instead by
setting this to True
"""
global havePTB
if self._backend is None and backend in ['iohub', 'ptb', 'event', '']:
Keyboard._backend = backend
if self._backend is None:
Keyboard._backend = ''
if backend and self._backend != backend:
logging.warning("keyboard.Keyboard already using '%s' backend. Can not switch to '%s'" % (self._backend,
backend))
self.status = NOT_STARTED
# Initiate containers for storing responses
self.keys = [] # the key(s) pressed
self.corr = 0 # was the resp correct this trial? (0=no, 1=yes)
self.rt = [] # response time(s)
self.time = [] # Epoch
if clock:
self.clock = clock
else:
self.clock = psychopy.clock.Clock()
if Keyboard._backend in ['', 'iohub']:
from psychopy.iohub.client import ioHubConnection
from psychopy.iohub.devices import Computer
if not ioHubConnection.getActiveConnection() and Keyboard._backend == 'iohub':
# iohub backend was explicitly requested, but iohub is not running, so start it up
# setting keyboard to use standard psychopy key mappings
from psychopy.iohub import launchHubServer
launchHubServer(Keyboard=dict(use_keymap='psychopy'))
if ioHubConnection.getActiveConnection() and Keyboard._iohubKeyboard is None:
Keyboard._iohubKeyboard = ioHubConnection.getActiveConnection().getDevice('keyboard')
Keyboard._iohubOffset = Computer.global_clock.getLastResetTime()
Keyboard._backend = 'iohub'
if Keyboard._backend in ['', 'ptb'] and havePTB:
Keyboard._backend = 'ptb'
Keyboard._ptbOffset = self.clock.getLastResetTime()
# get the necessary keyboard buffer(s)
if sys.platform == 'win32':
self._ids = [-1] # no indexing possible so get the combo keyboard
else:
allInds, allNames, allKBs = hid.get_keyboard_indices()
if device == -1:
self._ids = allInds
elif type(device) in [list, tuple]:
self._ids = device
else:
self._ids = [device]
self._buffers = {}
self._devs = {}
for devId in self._ids:
# now we have a list of device IDs to monitor
if devId == -1 or devId in allInds:
buffer = _keyBuffers.getBuffer(devId, bufferSize)
self._buffers[devId] = buffer
self._devs[devId] = buffer.dev
# Is this right, waiting if waitForStart=False??
if not waitForStart:
self.start()
if Keyboard._backend in ['', 'event']:
global event
from psychopy import event
Keyboard._backend = 'event'
logging.info('keyboard.Keyboard is using %s backend.' % Keyboard._backend)