def picking_virtuals(self, symbol, modifiers, min_dist=1e-3):
"""Compute the id of the closest track to the mouse pointer.
"""
x, y = self.mouse_x, self.mouse_y
# Define two points in model space from mouse+screen(=0) position and mouse+horizon(=1) position
near = screen_to_model(x, y, 0)
far = screen_to_model(x, y, 1)
#print 'peak virtuals ', near, far, x, y
# Compute distance of virtuals from screen and from the line defined by the two points above
tmp = np.array([cll.mindistance_segment2track_info(near, far, xyz) \
for xyz in self.virtuals])
line_distance, screen_distance = tmp[:, 0], tmp[:, 1]
if False: # basic algoritm:
# Among the virtuals within a range to the line (i.e. < min_dist) return the closest to the screen:
closest_to_line_idx = np.argsort(line_distance)
closest_to_line_thresholded_bool = line_distance[
closest_to_line_idx] < min_dist
if (closest_to_line_thresholded_bool).any():
return closest_to_line_idx[np.argmin(
screen_distance[closest_to_line_thresholded_bool])]
else:
return closest_to_line_idx[0]
else: # simpler and apparently more effective algorithm:
return np.argmin(line_distance + screen_distance)
def get_pointed_representative(self, min_dist=1e-3):
"""Compute the id of the closest streamline to the mouse pointer.
"""
x, y = self.mouse_x, self.mouse_y
# Define two points in model space from mouse+screen(=0) position and mouse+horizon(=1) position
near = screen_to_model(x, y, 0)
far = screen_to_model(x, y, 1)
# Compute distance of representatives from screen and from the line defined by the two points above
tmp = np.array([cll.mindistance_segment2track_info(near, far, apply_transformation(xyz, self.glaff)) \
for xyz in self.representatives])
line_distance, screen_distance = tmp[:,0], tmp[:,1]
return self.representative_ids_ordered[np.argmin(line_distance + screen_distance)]
def picking_virtuals(self, symbol, modifiers, min_dist=1e-3):
"""Compute the id of the closest track to the mouse pointer.
"""
x, y = self.mouse_x, self.mouse_y
# Define two points in model space from mouse+screen(=0) position and mouse+horizon(=1) position
near = screen_to_model(x, y, 0)
far = screen_to_model(x, y, 1)
# print 'peak virtuals ', near, far, x, y
# Compute distance of virtuals from screen and from the line defined by the two points above
tmp = np.array([cll.mindistance_segment2track_info(near, far, xyz) for xyz in self.virtuals])
line_distance, screen_distance = tmp[:, 0], tmp[:, 1]
if False: # basic algoritm:
# Among the virtuals within a range to the line (i.e. < min_dist) return the closest to the screen:
closest_to_line_idx = np.argsort(line_distance)
closest_to_line_thresholded_bool = line_distance[closest_to_line_idx] < min_dist
if (closest_to_line_thresholded_bool).any():
return closest_to_line_idx[np.argmin(screen_distance[closest_to_line_thresholded_bool])]
else:
return closest_to_line_idx[0]
else: # simpler and apparently more effective algorithm:
return np.argmin(line_distance + screen_distance)
