661 lines
29 KiB
Python
661 lines
29 KiB
Python
# ui/hud.py
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"""Handles HUD elements and text overlays."""
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import pygame
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import pygame_gui
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from config.constants import *
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from world.base.brain import CellBrain, FlexibleNeuralNetwork
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from world.objects import DefaultCell
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from pygame_gui.elements import UIPanel
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import math
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DARK_GRAY = (40, 40, 40)
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DARKER_GRAY = (25, 25, 25)
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class HUD:
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def __init__(self, ui_manager, screen_width=SCREEN_WIDTH, screen_height=SCREEN_HEIGHT):
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self.font = pygame.font.Font("freesansbold.ttf", FONT_SIZE)
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self.legend_font = pygame.font.Font("freesansbold.ttf", LEGEND_FONT_SIZE)
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self.manager = ui_manager
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self.screen_width = screen_width
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self.screen_height = screen_height
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# Panel size defaults
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self.control_bar_height = 48
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self.inspector_width = 260
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self.properties_width = 320
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self.console_height = 120
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self.splitter_thickness = 6
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self.dragging_splitter = None
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self._create_panels()
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def _create_panels(self):
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# Top control bar
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self.control_bar = UIPanel(
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relative_rect=pygame.Rect(0, 0, self.screen_width, self.control_bar_height),
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manager=self.manager,
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object_id="#control_bar",
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)
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# Left inspector
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self.inspector_panel = UIPanel(
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relative_rect=pygame.Rect(
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0, self.control_bar_height,
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self.inspector_width,
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self.screen_height - self.control_bar_height
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),
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manager=self.manager,
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object_id="#inspector_panel",
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)
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# Right properties
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self.properties_panel = UIPanel(
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relative_rect=pygame.Rect(
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self.screen_width - self.properties_width,
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self.control_bar_height,
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self.properties_width,
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self.screen_height - self.control_bar_height
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),
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manager=self.manager,
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object_id="#properties_panel",
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)
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# Bottom console
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self.console_panel = UIPanel(
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relative_rect=pygame.Rect(
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self.inspector_width,
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self.screen_height - self.console_height,
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self.screen_width - self.inspector_width - self.properties_width,
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self.console_height
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),
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manager=self.manager,
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object_id="#console_panel",
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)
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self.panels = [
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self.control_bar,
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self.inspector_panel,
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self.properties_panel,
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self.console_panel
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]
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self.dragging_splitter = None
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def get_viewport_rect(self):
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# Returns the rect for the simulation viewport
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x = self.inspector_width
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y = self.control_bar_height
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w = self.screen_width - self.inspector_width - self.properties_width
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h = self.screen_height - self.control_bar_height - self.console_height
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return pygame.Rect(x, y, w, h)
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def update_layout(self, window_width, window_height):
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self.screen_width = window_width
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self.screen_height = window_height
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# Control bar (top)
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self.control_bar.set_relative_position((0, 0))
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self.control_bar.set_dimensions((self.screen_width, self.control_bar_height))
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# Inspector panel (left) - goes all the way to the bottom
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self.inspector_panel.set_relative_position((0, self.control_bar_height))
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self.inspector_panel.set_dimensions((self.inspector_width, self.screen_height - self.control_bar_height))
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# Properties panel (right) - goes all the way to the bottom
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self.properties_panel.set_relative_position(
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(self.screen_width - self.properties_width, self.control_bar_height))
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self.properties_panel.set_dimensions((self.properties_width, self.screen_height - self.control_bar_height))
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# Console panel (bottom, spans between inspector and properties)
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self.console_panel.set_relative_position((self.inspector_width, self.screen_height - self.console_height))
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self.console_panel.set_dimensions(
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(self.screen_width - self.inspector_width - self.properties_width, self.console_height))
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def process_event(self, event):
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# Handle splitter dragging for resizing panels
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if event.type == pygame.MOUSEBUTTONDOWN and event.button == 1:
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mx, my = event.pos
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# Check if mouse is on a splitter (left/right/bottom)
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if abs(mx - self.inspector_width) < self.splitter_thickness and self.control_bar_height < my < self.screen_height - self.console_height:
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self.dragging_splitter = "inspector"
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elif abs(mx - (self.screen_width - self.properties_width)) < self.splitter_thickness and self.control_bar_height < my < self.screen_height - self.console_height:
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self.dragging_splitter = "properties"
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elif abs(my - (self.screen_height - self.console_height)) < self.splitter_thickness and self.inspector_width < mx < self.screen_width - self.properties_width:
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self.dragging_splitter = "console"
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self.update_layout(self.screen_width, self.screen_height)
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elif event.type == pygame.MOUSEBUTTONUP and event.button == 1:
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self.dragging_splitter = None
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elif event.type == pygame.MOUSEMOTION and self.dragging_splitter:
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mx, my = event.pos
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if self.dragging_splitter == "inspector":
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self.inspector_width = max(100, min(mx, self.screen_width - self.properties_width - 100))
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elif self.dragging_splitter == "properties":
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self.properties_width = max(100, min(self.screen_width - mx, self.screen_width - self.inspector_width - 100))
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elif self.dragging_splitter == "console":
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self.console_height = max(60, min(self.screen_height - my, self.screen_height - self.control_bar_height - 60))
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self.update_layout(self.screen_width, self.screen_height)
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def draw_splitters(self, screen):
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# Draw draggable splitters for visual feedback
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indicator_color = (220, 220, 220)
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indicator_size = 6 # Length of indicator line
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indicator_gap = 4 # Gap between indicator lines
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indicator_count = 3 # Number of indicator lines
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# Vertical splitter (inspector/properties)
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# Inspector/properties only if wide enough
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if self.inspector_width > 0:
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x = self.inspector_width - 2
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y1 = self.control_bar_height
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y2 = self.screen_height - self.console_height
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# Draw indicator (horizontal lines) in the middle
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mid_y = (y1 + y2) // 2
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for i in range(indicator_count):
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offset = (i - 1) * (indicator_gap + 1)
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pygame.draw.line(
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screen, indicator_color,
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(x - indicator_size // 2, mid_y + offset),
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(x + indicator_size // 2, mid_y + offset),
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2
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)
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if self.properties_width > 0:
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x = self.screen_width - self.properties_width + 2
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y1 = self.control_bar_height
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y2 = self.screen_height - self.console_height
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mid_y = (y1 + y2) // 2
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for i in range(indicator_count):
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offset = (i - 1) * (indicator_gap + 1)
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pygame.draw.line(
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screen, indicator_color,
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(x - indicator_size // 2, mid_y + offset),
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(x + indicator_size // 2, mid_y + offset),
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2
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)
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# Horizontal splitter (console)
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if self.console_height > 0:
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y = self.screen_height - self.console_height + 2
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x1 = self.inspector_width
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x2 = self.screen_width - self.properties_width
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mid_x = (x1 + x2) // 2
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for i in range(indicator_count):
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offset = (i - 1) * (indicator_gap + 1)
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pygame.draw.line(
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screen, indicator_color,
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(mid_x + offset, y - indicator_size // 2),
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(mid_x + offset, y + indicator_size // 2),
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2
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)
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def render_mouse_position(self, screen, camera, sim_view_rect):
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"""Render mouse position in top left."""
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mouse_x, mouse_y = pygame.mouse.get_pos()
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sim_view_x = mouse_x - sim_view_rect.left
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sim_view_y = mouse_y - sim_view_rect.top
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world_x, world_y = camera.get_real_coordinates(sim_view_x, sim_view_y)
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mouse_text = self.font.render(f"Mouse: ({mouse_x:.2f}, {mouse_y:.2f})", True, WHITE)
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text_rect = mouse_text.get_rect()
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text_rect.topleft = (HUD_MARGIN, HUD_MARGIN)
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screen.blit(mouse_text, text_rect)
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def render_fps(self, screen, clock):
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"""Render FPS in top right."""
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fps_text = self.font.render(f"FPS: {int(clock.get_fps())}", True, WHITE)
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fps_rect = fps_text.get_rect()
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fps_rect.topright = (self.screen_width - HUD_MARGIN, HUD_MARGIN)
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screen.blit(fps_text, fps_rect)
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def render_tps(self, screen, actual_tps):
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"""Render TPS in bottom right."""
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tps_text = self.font.render(f"TPS: {actual_tps}", True, WHITE)
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tps_rect = tps_text.get_rect()
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tps_rect.bottomright = (self.screen_width - HUD_MARGIN, self.screen_height - HUD_MARGIN)
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screen.blit(tps_text, tps_rect)
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def render_tick_count(self, screen, total_ticks):
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"""Render total tick count in bottom left."""
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tick_text = self.font.render(f"Ticks: {total_ticks}", True, WHITE)
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tick_rect = tick_text.get_rect()
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tick_rect.bottomleft = (HUD_MARGIN, self.screen_height - HUD_MARGIN)
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screen.blit(tick_text, tick_rect)
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def render_pause_indicator(self, screen, is_paused):
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"""Render pause indicator when paused."""
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if is_paused:
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pause_text = self.font.render("Press 'Space' to unpause", True, WHITE)
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pause_rect = pause_text.get_rect()
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pause_rect.center = (self.screen_width // 2, 20)
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screen.blit(pause_text, pause_rect)
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def render_selected_objects_info(self, screen, selected_objects):
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"""Render information about selected objects."""
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if len(selected_objects) < 1:
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return
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max_width = self.screen_width - 20
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i = 0
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for obj in selected_objects:
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text = f"Object: {str(obj)}"
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words = text.split()
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line = ""
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line_offset = 0
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for word in words:
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test_line = f"{line} {word}".strip()
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test_width, _ = self.font.size(test_line)
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if test_width > max_width and line:
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obj_text = self.font.render(line, True, WHITE)
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obj_rect = obj_text.get_rect()
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obj_rect.topleft = (HUD_MARGIN, 30 + i * LINE_HEIGHT + line_offset)
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screen.blit(obj_text, obj_rect)
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line = word
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line_offset += LINE_HEIGHT
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else:
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line = test_line
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if line:
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obj_text = self.font.render(line, True, WHITE)
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obj_rect = obj_text.get_rect()
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obj_rect.topleft = (HUD_MARGIN, 30 + i * LINE_HEIGHT + line_offset)
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screen.blit(obj_text, obj_rect)
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i += 1
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def render_legend(self, screen, showing_legend):
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"""Render the controls legend."""
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if not showing_legend:
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legend_text = self.legend_font.render("Press 'L' to show controls", True, WHITE)
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legend_rect = legend_text.get_rect()
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legend_rect.center = (self.screen_width // 2, self.screen_height - 20)
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screen.blit(legend_text, legend_rect)
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return
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# Split into two columns
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mid = (len(KEYMAP_LEGEND) + 1) // 2
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left_col = KEYMAP_LEGEND[:mid]
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right_col = KEYMAP_LEGEND[mid:]
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legend_font_height = self.legend_font.get_height()
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column_gap = 40 # Space between columns
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# Calculate max width for each column
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left_width = max(self.legend_font.size(f"{k}: {v}")[0] for k, v in left_col)
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right_width = max(self.legend_font.size(f"{k}: {v}")[0] for k, v in right_col)
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legend_width = left_width + right_width + column_gap
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legend_height = max(len(left_col), len(right_col)) * legend_font_height + 10
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legend_x = (self.screen_width - legend_width) // 2
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legend_y = self.screen_height - legend_height - 10
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# Draw left column
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for i, (key, desc) in enumerate(left_col):
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text = self.legend_font.render(f"{key}: {desc}", True, WHITE)
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text_rect = text.get_rect()
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text_rect.left = legend_x
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text_rect.top = legend_y + 5 + i * legend_font_height
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screen.blit(text, text_rect)
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# Draw right column
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for i, (key, desc) in enumerate(right_col):
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text = self.legend_font.render(f"{key}: {desc}", True, WHITE)
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text_rect = text.get_rect()
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text_rect.left = legend_x + left_width + column_gap
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text_rect.top = legend_y + 5 + i * legend_font_height
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screen.blit(text, text_rect)
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def render_neural_network_visualization(self, screen, cell: DefaultCell) -> None:
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"""Render neural network visualization. This is fixed to the screen size and is not dependent on zoom or camera position."""
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# Visualization layout constants
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VIZ_WIDTH = 280 # Width of the neural network visualization area
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VIZ_HEIGHT = 300 # Height of the neural network visualization area
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VIZ_RIGHT_MARGIN = VIZ_WIDTH + 50 # Distance from right edge of screen to visualization
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VIZ_BOTTOM_MARGIN = 50 # Distance from the bottom of the screen
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# Background styling constants
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BACKGROUND_PADDING = 30 # Padding around the visualization background
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BACKGROUND_BORDER_WIDTH = 2 # Width of the background border
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BACKGROUND_COLOR = (30, 30, 30) # Dark gray background color
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# Title positioning constants
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TITLE_TOP_MARGIN = 20 # Distance above visualization for title
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# Neuron appearance constants
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NEURON_RADIUS = 8 # Radius of neuron circles
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NEURON_BORDER_WIDTH = 2 # Width of neuron circle borders
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# Layer spacing constants
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LAYER_VERTICAL_MARGIN = 30 # Top and bottom margin within visualization for neurons
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# Connection appearance constants
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MAX_CONNECTION_THICKNESS = 4 # Maximum thickness for connection lines
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MIN_CONNECTION_THICKNESS = 1 # Minimum thickness for connection lines
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# Neuron activation colors
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NEURON_BASE_INTENSITY = 100 # Base color intensity for neurons
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NEURON_ACTIVATION_INTENSITY = 155 # Additional intensity based on activation
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# Text positioning constants
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ACTIVATION_TEXT_OFFSET = 15 # Distance below neuron for activation value text
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ACTIVATION_DISPLAY_THRESHOLD = 0.01 # Minimum activation value to display as text
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ACTIVATION_TEXT_PRECISION = 2 # Decimal places for activation values
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# Layer label positioning constants
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LAYER_LABEL_BOTTOM_MARGIN = 15 # Distance below visualization for layer labels
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# Info text positioning constants
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INFO_TEXT_TOP_MARGIN = 40 # Distance below visualization for info text
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INFO_TEXT_LINE_SPACING = 15 # Vertical spacing between info text lines
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# Activation value clamping
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ACTIVATION_CLAMP_MIN = -1 # Minimum activation value for visualization
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ACTIVATION_CLAMP_MAX = 1 # Maximum activation value for visualization
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# --- Tooltip constants ---
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TOOLTIP_X_OFFSET = 12
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TOOLTIP_Y_OFFSET = 8
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TOOLTIP_PADDING_X = 5
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TOOLTIP_PADDING_Y = 3
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TOOLTIP_BG_COLOR = (40, 40, 40)
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TOOLTIP_BORDER_COLOR = WHITE
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TOOLTIP_BORDER_WIDTH = 1
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TOOLTIP_MARGIN = 10
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TOOLTIP_LINE_SPACING = 0 # No extra spacing between lines
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if self.properties_width < VIZ_RIGHT_MARGIN + 50:
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self.properties_width = VIZ_RIGHT_MARGIN + 50 # Ensure properties panel is wide enough for tooltip
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if not hasattr(cell, 'behavioral_model'):
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return
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cell_brain: CellBrain = cell.behavioral_model
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if not hasattr(cell_brain, 'neural_network'):
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return
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network: FlexibleNeuralNetwork = cell_brain.neural_network
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# Calculate visualization position (bottom right)
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viz_x = self.screen_width - VIZ_RIGHT_MARGIN # Right side of screen
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viz_y = self.screen_height - VIZ_HEIGHT - VIZ_BOTTOM_MARGIN # Above the bottom margin
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layer_spacing = VIZ_WIDTH // max(1, len(network.layers) - 1) if len(network.layers) > 1 else VIZ_WIDTH
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# Draw background
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background_rect = pygame.Rect(viz_x - BACKGROUND_PADDING, viz_y - BACKGROUND_PADDING,
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VIZ_WIDTH + 2 * BACKGROUND_PADDING, VIZ_HEIGHT + 2 * BACKGROUND_PADDING)
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pygame.draw.rect(screen, BACKGROUND_COLOR, background_rect)
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pygame.draw.rect(screen, WHITE, background_rect, BACKGROUND_BORDER_WIDTH)
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info = network.get_structure_info()
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# Title
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title_text = self.font.render("Neural Network", True, WHITE)
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title_rect = title_text.get_rect()
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title_rect.centerx = viz_x + VIZ_WIDTH // 2
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title_rect.top = viz_y - TITLE_TOP_MARGIN
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screen.blit(title_text, title_rect)
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# Render network cost under the title
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cost_text = self.font.render(f"Cost: {info['network_cost']}", True, WHITE)
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cost_rect = cost_text.get_rect()
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cost_rect.centerx = title_rect.centerx
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cost_rect.top = title_rect.bottom + 4 # Small gap below the title
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screen.blit(cost_text, cost_rect)
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# Get current activations by running a forward pass with current inputs
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input_values = [cell_brain.inputs[key] for key in cell_brain.input_keys]
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# Store activations for each layer
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activations = [input_values] # Input layer
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# Calculate activations for each layer
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for layer_idx in range(1, len(network.layers)):
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layer_activations = []
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for neuron in network.layers[layer_idx]:
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if neuron['type'] == 'input':
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continue
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# Calculate weighted sum
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weighted_sum = neuron.get('bias', 0)
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for source_layer, source_neuron, weight in neuron.get('connections', []):
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if source_layer < len(activations) and source_neuron < len(activations[source_layer]):
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weighted_sum += activations[source_layer][source_neuron] * weight
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# Apply activation function
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activation = max(ACTIVATION_CLAMP_MIN, min(ACTIVATION_CLAMP_MAX, weighted_sum))
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layer_activations.append(activation)
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activations.append(layer_activations)
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# Calculate neuron positions
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neuron_positions = {}
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for layer_idx, layer in enumerate(network.layers):
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layer_neurons = [n for n in layer if n['type'] != 'input' or layer_idx == 0]
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layer_size = len(layer_neurons)
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if layer_size == 0:
|
|
continue
|
|
|
|
# X position based on layer
|
|
if len(network.layers) == 1:
|
|
x = viz_x + VIZ_WIDTH // 2
|
|
else:
|
|
x = viz_x + (layer_idx * layer_spacing)
|
|
|
|
# Y positions distributed vertically
|
|
if layer_size == 1:
|
|
y_positions = [viz_y + VIZ_HEIGHT // 2]
|
|
else:
|
|
y_start = viz_y + LAYER_VERTICAL_MARGIN
|
|
y_end = viz_y + VIZ_HEIGHT - LAYER_VERTICAL_MARGIN
|
|
y_positions = [y_start + i * (y_end - y_start) / (layer_size - 1) for i in range(layer_size)]
|
|
|
|
for neuron_idx, neuron in enumerate(layer_neurons):
|
|
if neuron_idx < len(y_positions):
|
|
neuron_positions[(layer_idx, neuron_idx)] = (int(x), int(y_positions[neuron_idx]))
|
|
|
|
# Draw connections first (so they appear behind neurons)
|
|
for layer_idx in range(1, len(network.layers)):
|
|
for neuron_idx, neuron in enumerate(network.layers[layer_idx]):
|
|
if neuron['type'] == 'input':
|
|
continue
|
|
|
|
target_pos = neuron_positions.get((layer_idx, neuron_idx))
|
|
if not target_pos:
|
|
continue
|
|
|
|
for source_layer, source_neuron, weight in neuron.get('connections', []):
|
|
source_pos = neuron_positions.get((source_layer, source_neuron))
|
|
if not source_pos:
|
|
continue
|
|
|
|
# Get activation value of the source neuron
|
|
if source_layer < len(activations) and source_neuron < len(activations[source_layer]):
|
|
activation = activations[source_layer][source_neuron]
|
|
else:
|
|
activation = 0.0
|
|
|
|
# Clamp activation to [-1, 1]
|
|
activation = max(ACTIVATION_CLAMP_MIN, min(ACTIVATION_CLAMP_MAX, activation))
|
|
|
|
# Color: interpolate from red (-1) to yellow (0) to green (+1)
|
|
if activation <= 0:
|
|
# Red to yellow
|
|
r = 255
|
|
g = int(255 * (activation + 1))
|
|
b = 0
|
|
else:
|
|
# Yellow to green
|
|
r = int(255 * (1 - activation))
|
|
g = 255
|
|
b = 0
|
|
color = (r, g, b)
|
|
|
|
# Thickness: proportional to abs(weight)
|
|
thickness = max(MIN_CONNECTION_THICKNESS, int(abs(weight) * MAX_CONNECTION_THICKNESS))
|
|
|
|
pygame.draw.line(screen, color, source_pos, target_pos, thickness)
|
|
|
|
# Draw neurons
|
|
for layer_idx, layer in enumerate(network.layers):
|
|
layer_activations = activations[layer_idx] if layer_idx < len(activations) else []
|
|
|
|
for neuron_idx, neuron in enumerate(layer):
|
|
if neuron['type'] == 'input' and layer_idx != 0:
|
|
continue
|
|
|
|
pos = neuron_positions.get((layer_idx, neuron_idx))
|
|
if not pos:
|
|
continue
|
|
|
|
# Get activation value
|
|
activation = 0
|
|
if neuron_idx < len(layer_activations):
|
|
activation = layer_activations[neuron_idx]
|
|
|
|
# Color based on activation: brightness represents magnitude
|
|
activation_normalized = max(ACTIVATION_CLAMP_MIN, min(ACTIVATION_CLAMP_MAX, activation))
|
|
activation_intensity = int(abs(activation_normalized) * NEURON_ACTIVATION_INTENSITY)
|
|
|
|
if activation_normalized >= 0:
|
|
# Positive activation: blue tint
|
|
color = (NEURON_BASE_INTENSITY, NEURON_BASE_INTENSITY, NEURON_BASE_INTENSITY + activation_intensity)
|
|
else:
|
|
# Negative activation: red tint
|
|
color = (NEURON_BASE_INTENSITY + activation_intensity, NEURON_BASE_INTENSITY, NEURON_BASE_INTENSITY)
|
|
|
|
# Draw neuron
|
|
pygame.draw.circle(screen, color, pos, NEURON_RADIUS)
|
|
pygame.draw.circle(screen, WHITE, pos, NEURON_RADIUS, NEURON_BORDER_WIDTH)
|
|
|
|
# Draw activation value as text
|
|
if abs(activation) > ACTIVATION_DISPLAY_THRESHOLD:
|
|
activation_text = self.legend_font.render(f"{activation:.{ACTIVATION_TEXT_PRECISION}f}", True,
|
|
WHITE)
|
|
text_rect = activation_text.get_rect()
|
|
text_rect.center = (pos[0], pos[1] + NEURON_RADIUS + ACTIVATION_TEXT_OFFSET)
|
|
screen.blit(activation_text, text_rect)
|
|
|
|
# Draw layer labels
|
|
num_layers = len(network.layers)
|
|
for layer_idx in range(num_layers):
|
|
if layer_idx == 0:
|
|
label = "Input"
|
|
elif layer_idx == num_layers - 1:
|
|
label = "Output"
|
|
else:
|
|
label = f"Hidden {layer_idx}" if num_layers > 3 else "Hidden"
|
|
|
|
# Find average x position for this layer
|
|
x_positions = [pos[0] for (l_idx, n_idx), pos in neuron_positions.items() if l_idx == layer_idx]
|
|
if x_positions:
|
|
avg_x = sum(x_positions) // len(x_positions)
|
|
|
|
label_text = self.legend_font.render(label, True, WHITE)
|
|
label_rect = label_text.get_rect()
|
|
label_rect.centerx = avg_x
|
|
label_rect.bottom = viz_y + VIZ_HEIGHT + LAYER_LABEL_BOTTOM_MARGIN
|
|
screen.blit(label_text, label_rect)
|
|
|
|
# --- Tooltip logic for neuron hover ---
|
|
mouse_x, mouse_y = pygame.mouse.get_pos()
|
|
tooltip_text = None
|
|
|
|
for (layer_idx, neuron_idx), pos in neuron_positions.items():
|
|
dx = mouse_x - pos[0]
|
|
dy = mouse_y - pos[1]
|
|
dist = math.hypot(dx, dy)
|
|
if dist <= NEURON_RADIUS + 3:
|
|
neuron = network.layers[layer_idx][neuron_idx]
|
|
label = None
|
|
value_str = None
|
|
|
|
# Show input/output name if applicable
|
|
if neuron['type'] == 'input' and layer_idx == 0:
|
|
if neuron_idx < len(cell_brain.input_keys):
|
|
key = cell_brain.input_keys[neuron_idx]
|
|
label = f"Input: {key}"
|
|
# Show normalized input value
|
|
raw_value = cell_brain.inputs.get(key, 0.0)
|
|
normalized_value = cell_brain._normalize_input(key, raw_value)
|
|
value_str = f"Value: {normalized_value:.2f}"
|
|
elif neuron['type'] == 'output':
|
|
if neuron_idx < len(cell_brain.output_keys):
|
|
key = cell_brain.output_keys[neuron_idx]
|
|
label = f"Output: {key}"
|
|
# Show output value (already actual, not normalized)
|
|
value = cell_brain.outputs.get(key, 0.0)
|
|
value_str = f"Value: {value:.2f}"
|
|
else:
|
|
# For hidden neurons, show activation value
|
|
if layer_idx < len(activations) and neuron_idx < len(activations[layer_idx]):
|
|
value = activations[layer_idx][neuron_idx]
|
|
value_str = f"Value: {value:.2f}"
|
|
|
|
# Show bias if present
|
|
bias = neuron.get('bias', None)
|
|
bias_str = f"Bias: {bias:.2f}" if bias is not None else None
|
|
|
|
# Compose tooltip text
|
|
tooltip_lines = []
|
|
if label:
|
|
tooltip_lines.append(label)
|
|
if value_str:
|
|
tooltip_lines.append(value_str)
|
|
if bias_str:
|
|
tooltip_lines.append(bias_str)
|
|
tooltip_text = "\n".join(tooltip_lines) if tooltip_lines else None
|
|
break
|
|
|
|
if tooltip_text:
|
|
lines = tooltip_text.split('\n')
|
|
tooltip_surfs = [self.legend_font.render(line, True, WHITE) for line in lines]
|
|
width = max(surf.get_width() for surf in tooltip_surfs) + TOOLTIP_MARGIN
|
|
height = sum(surf.get_height() for surf in tooltip_surfs) + TOOLTIP_MARGIN
|
|
|
|
# Default position: right and below cursor
|
|
tooltip_x = mouse_x + TOOLTIP_X_OFFSET
|
|
tooltip_y = mouse_y + TOOLTIP_Y_OFFSET
|
|
|
|
# Adjust if off right edge
|
|
if tooltip_x + width > self.screen_width:
|
|
tooltip_x = mouse_x - width - TOOLTIP_X_OFFSET
|
|
# Adjust if off bottom edge
|
|
if tooltip_y + height > self.screen_height:
|
|
tooltip_y = mouse_y - height - TOOLTIP_Y_OFFSET
|
|
|
|
tooltip_rect = pygame.Rect(tooltip_x, tooltip_y, width, height)
|
|
pygame.draw.rect(screen, TOOLTIP_BG_COLOR, tooltip_rect)
|
|
pygame.draw.rect(screen, TOOLTIP_BORDER_COLOR, tooltip_rect, TOOLTIP_BORDER_WIDTH)
|
|
y = tooltip_rect.top + TOOLTIP_PADDING_Y
|
|
for surf in tooltip_surfs:
|
|
screen.blit(surf, (tooltip_rect.left + TOOLTIP_PADDING_X, y))
|
|
y += surf.get_height() + TOOLTIP_LINE_SPACING
|
|
|
|
def render_sprint_debug(self, screen, actual_tps, total_ticks, cell_count=None):
|
|
"""Render sprint debug info: header, TPS, and tick count."""
|
|
header = self.font.render("Sprinting...", True, (255, 200, 0))
|
|
tps_text = self.font.render(f"TPS: {actual_tps}", True, (255, 255, 255))
|
|
ticks_text = self.font.render(f"Ticks: {total_ticks}", True, (255, 255, 255))
|
|
cell_text = self.font.render(f"Cells: {cell_count}" if cell_count is not None else "Cells: N/A", True, (255, 255, 255))
|
|
|
|
y = self.screen_height // 2 - 80
|
|
header_rect = header.get_rect(center=(self.screen_width // 2, y))
|
|
tps_rect = tps_text.get_rect(center=(self.screen_width // 2, y + 40))
|
|
ticks_rect = ticks_text.get_rect(center=(self.screen_width // 2, y + 80))
|
|
cell_rect = cell_text.get_rect(center=(self.screen_width // 2, y + 120))
|
|
|
|
screen.blit(header, header_rect)
|
|
screen.blit(tps_text, tps_rect)
|
|
screen.blit(ticks_text, ticks_rect)
|
|
screen.blit(cell_text, cell_rect)
|