def _process_recognition(self, node, extras): # Callback when command is spoken.
windows = Window.get_all_windows()
#windows.sort(key=lambda x: x.executable)
for window in windows:
if utils.windowIsValid(window):
executable = unicode(window.executable, errors='ignore').lower()
title = unicode(window.title, errors='ignore').lower()
print "{:7} : {:75} : {}".format(window.handle, executable, title)
def _process_recognition(self, node,
extras): # Callback when command is spoken.
windows = Window.get_all_windows()
#windows.sort(key=lambda x: x.executable)
for window in windows:
if utils.windowIsValid(window):
print "{:7} : {:75} : {}".format(
window.handle, window.executable.encode("utf-8"),
window.title.encode("utf-8"))
def script():
X = in_data.X
y = in_data.Y
feat_names = [x.name for x in in_data.domain.attributes]
new_feat_names = [x.split('=')[-1] for x in feat_names]
print(feat_names)
model_type = str(in_learners).split(',')[0].split('(')[0][1:]
is_cont = in_data.domain.class_var.is_continuous
class_type = 'regression' if is_cont else 'classification'
class_names = in_data.domain.class_var.values if not is_cont else None
shap_values = in_object
biggest_val = np.amax(np.absolute(shap_values))
shap_values = shap_values / biggest_val
xrange = (-1.1, 1.1)
num_rows_2_sample = shap_values.shape[0]
max_display = shap_values.shape[1]
font_size = 13
idx = np.random.choice(list(range(shap_values.shape[0])),
size=num_rows_2_sample,
replace=False)
shap_values = shap_values[idx, :]
X = X[idx, :]
if type(shap_values) == list:
shap_values = shap_values[class_val]
title = '{0} is {1}'.format(in_data.domain.class_var.name,
class_names[class_val])
else:
title = in_data.domain.class_var.name
id = len(Window.get_all_windows())
summary_plot(shap_values,
features=X,
feature_names=feat_names,
class_names=class_names,
max_display=max_display,
plot_type='bar',
color='black',
id=id,
xrange=xrange)
summary_plot(shap_values,
features=X,
feature_names=feat_names,
class_names=class_names,
max_display=max_display,
plot_type='dot',
title=title,
id=id,
xrange=xrange)
return None, None, None, None
def get_default_window(name):
executable, title = default_names[name]
if executable: executable = executable.lower()
if title: title = title.lower()
windows = Window.get_all_windows()
for window in windows:
if not window.is_visible:
continue
elif executable and window.executable.lower().find(executable) == -1:
continue
elif title and window.title.lower().find(title) == -1:
continue
window.name = name
win_names[name] = window
return window
return None
def clear_log():
# Function to clear natlink status window
try:
# pylint: disable=import-error
import natlink
windows = Window.get_all_windows()
matching = [
w for w in windows if b"Messages from Python Macros" in w.title
]
if matching:
handle = (matching[0].handle)
rt_handle = win32gui.FindWindowEx(handle, None, "RICHEDIT", None)
win32gui.SetWindowText(rt_handle, "")
return
except Exception as e:
print(e)
def get_default_window(name):
executable, title = default_names[name]
if executable: executable = executable.lower()
if title: title = title.lower()
windows = Window.get_all_windows()
for window in windows:
if not window.is_visible:
continue
elif executable and window.executable.lower().find(executable) == -1:
continue
elif title and window.title.lower().find(title) == -1:
continue
window.name = name
win_names[name] = window
return window
return None
from dragonfly import Window print(Window.get_all_windows())
def move_desktop_to(n):
for window in Window.get_all_windows():
if vda.IsWindowOnCurrentVirtualDesktop(window.handle):
vda.MoveWindowToDesktopNumber(window.handle, n - 1)
