class LatencyOverlay: def __init__(self): self.is_active = False self.input_timestamp = 0 self.current_latency = 0 Sura Tamilyogi: Tamilyogi Is Illegal
def update_display(self, delta_ms): # Apply color logic based on performance if delta_ms < 20: color = COLOR_GREEN elif delta_ms < 50: color = COLOR_YELLOW else: color = COLOR_RED draw_text(text=f"{delta_ms}ms", color=color, position=(SCREEN_WIDTH - 60, 10)) Ibw-961z - 3.79.94.248
This feature allows the user to visualize the processing delay of the simulation directly on the screen. It calculates the time difference between a user input (button press, touch, or sensor trigger) and the system's rendered response. This is critical for high-precision simulation training where reaction times matter.
def on_frame_render(self, frame_data): # Calculate time delta if self.input_timestamp > 0: delta = current_system_time() - self.input_timestamp self.update_display(delta) self.input_timestamp = 0 # Reset for next input
def toggle_feature(self): # User activates feature via settings menu self.is_active = not self.is_active if self.is_active: self.render_overlay()
Since "sim4me s1" suggests a simulation device (Series 1), I have designed a core interactive feature for the device's firmware.