def mouse_doubleclick_image(image_names,
search_method=_search_method_default,
tolerance=_tolerance_default,
timeout=_timeout_default,
mouse_button=_mouse_button_default,
use_wait=True,
use_center=True):
if _check_display():
_log_output('Mouse button doubleclick on image: Images=' +
image_names + ' search_method=' + search_method +
' tolerance=' + tolerance + ' timeout=' +
_timeout_default + ' mouse_button=' + ' use_wait=' +
use_wait + ' use_center=' + use_center)
if use_wait:
#Loop through all images 'timeout' times, and click on the first match
loop_check = 0
while loop_check < timeout:
for image in image_names:
if use_center:
image_location = libcvautomation.xte_clickMouseImage_location_center(
_get_display(), image, mouse_button, search_method,
tolerance)
else:
image_location = libcvautomation.xte_clickMouseImage_location(
_get_display(), image, mouse_button, search_method,
tolerance)
if image_location != _libcvautomation_error_location:
#Make sure to click twice once we've found the image
#Technically assumes that the system mouse timeout is less than
#the time it takes to do two boolean compares - I think this is pretty safe
libcvautomation.xte_clickMouse(_get_display(),
mouse_button)
#We've found our image, break out of the for loop and while loop
return True
loop_check += 1
else:
#Just cycle through the images once
for image in image_names:
if use_center:
image_location = libcvautomation.xte_clickMouseImage_location_center(
_get_display(), image, mouse_button, search_method,
tolerance)
else:
image_location = libcvautomation.xte_clickMouseImage_location(
_get_display(), image, mouse_button, search_method,
tolerance)
if image_location != _libcvautomation_error_location:
#We've found our image, break out of the for loop
return True
#No image found
raise LibcvImageNotFound(image_names)
else:
#Display not open
raise LibcvDisplayNotOpen(_get_name())
def mouse_click_image(image_names,
search_method=_search_method_default,
tolerance=_tolerance_default,
timeout=_timeout_default,
mouse_button=_mouse_button_default,
use_wait=True):
if _check_display():
_log_output('Mouse button click on image: Images=' + image_names +
' search_method=' + search_method + ' tolerance=' +
tolerance + ' timeout=' + _timeout_default +
' mouse_button=' + ' use_wait=' + use_wait +
' use_center=' + use_center)
if use_wait:
#Loop through all images 'timeout' times, and click on the first match
loop_check = 0
while loop_check < timeout:
for image in image_names:
if use_center:
image_location = libcvautomation.xte_clickMouseImage_location_center(
_get_display(), image, mouse_button, search_method,
tolerance)
else:
image_location = libcvautomation.xte_clickMouseImage_location(
_get_display(), image, mouse_button, search_method,
tolerance)
if image_location != _libcvautomation_error_location:
#We've found our image, break out of the for loop and while loop
return True
loop_check += 1
else:
#Just cycle through the images once
for image in image_names:
if use_center:
image_location = libcvautomation.xte_clickMouseImage_location_center(
_get_display(), image, mouse_button, search_method,
tolerance)
else:
image_location = libcvautomation.xte_clickMouseImage_location(
_get_display(), image, mouse_button, search_method,
tolerance)
if image_location != _libcvautomation_error_location:
#We've found our image, break out of the for loop
return True
#No image was found
raise LibcvImageNotFound(image_names)
else:
#Display not open
raise LibcvDisplayNotOpen(_get_name())
def mouse_doubleclick_image( image_names, search_method = _search_method_default, tolerance = _tolerance_default, timeout = _timeout_default, mouse_button = _mouse_button_default, use_wait = True, use_center = True ): if _check_display(): _log_output( 'Mouse button doubleclick on image: Images=' + image_names + ' search_method=' + search_method + ' tolerance=' + tolerance + ' timeout=' + _timeout_default + ' mouse_button=' + ' use_wait=' + use_wait + ' use_center=' + use_center) if use_wait: #Loop through all images 'timeout' times, and click on the first match loop_check = 0 while loop_check < timeout: for image in image_names: if use_center: image_location = libcvautomation.xte_clickMouseImage_location_center(_get_display(), image, mouse_button, search_method, tolerance ) else: image_location = libcvautomation.xte_clickMouseImage_location(_get_display(), image, mouse_button, search_method, tolerance ) if image_location != _libcvautomation_error_location: #Make sure to click twice once we've found the image #Technically assumes that the system mouse timeout is less than #the time it takes to do two boolean compares - I think this is pretty safe libcvautomation.xte_clickMouse(_get_display(), mouse_button ) #We've found our image, break out of the for loop and while loop return True loop_check += 1 else: #Just cycle through the images once for image in image_names: if use_center: image_location = libcvautomation.xte_clickMouseImage_location_center(_get_display(), image, mouse_button, search_method, tolerance ) else: image_location = libcvautomation.xte_clickMouseImage_location(_get_display(), image, mouse_button, search_method, tolerance ) if image_location != _libcvautomation_error_location: #We've found our image, break out of the for loop return True #No image found raise LibcvImageNotFound( image_names ) else: #Display not open raise LibcvDisplayNotOpen( _get_name() )
def mouse_click_image( image_names, search_method = _search_method_default, tolerance = _tolerance_default, timeout = _timeout_default, mouse_button = _mouse_button_default, use_wait = True): if _check_display(): _log_output( 'Mouse button click on image: Images=' + image_names + ' search_method=' + search_method + ' tolerance=' + tolerance + ' timeout=' + _timeout_default + ' mouse_button=' + ' use_wait=' + use_wait + ' use_center=' + use_center) if use_wait: #Loop through all images 'timeout' times, and click on the first match loop_check = 0 while loop_check < timeout: for image in image_names: if use_center: image_location = libcvautomation.xte_clickMouseImage_location_center(_get_display(), image, mouse_button, search_method, tolerance ) else: image_location = libcvautomation.xte_clickMouseImage_location(_get_display(), image, mouse_button, search_method, tolerance ) if image_location != _libcvautomation_error_location: #We've found our image, break out of the for loop and while loop return True loop_check += 1 else: #Just cycle through the images once for image in image_names: if use_center: image_location = libcvautomation.xte_clickMouseImage_location_center(_get_display(), image, mouse_button, search_method, tolerance ) else: image_location = libcvautomation.xte_clickMouseImage_location(_get_display(), image, mouse_button, search_method, tolerance ) if image_location != _libcvautomation_error_location: #We've found our image, break out of the for loop return True #No image was found raise LibcvImageNotFound( image_names ) else: #Display not open raise LibcvDisplayNotOpen( _get_name() )