Fix critical issues: script loading, entity types, and color properties

- Issue #37: Fix Windows scripts subdirectory not checked
  - Updated executeScript() to use executable_path() from platform.h
  - Scripts now load correctly when working directory differs from executable

- Issue #76: Fix UIEntityCollection returns wrong type
  - Updated UIEntityCollectionIter::next() to check for stored Python object
  - Derived Entity classes now preserve their type when retrieved from collections

- Issue #9: Recreate RenderTexture when resized (already fixed)
  - Confirmed RenderTexture recreation already implemented in set_size() and set_float_member()
  - Uses 1.5x padding and 4096 max size limit

- Issue #79: Fix Color r, g, b, a properties return None
  - Implemented get_member() and set_member() in PyColor.cpp
  - Color component properties now work correctly with proper validation

- Additional fix: Grid.at() method signature
  - Changed from METH_O to METH_VARARGS to accept two arguments

All fixes include comprehensive tests to verify functionality.

closes #37, closes #76, closes #9, closes #79

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

example_monitoring.py

@@ -0,0 +1,69 @@
+#!/usr/bin/env python3
+"""
+Example monitoring script that works alongside automation
+Usage: ./mcrogueface game.py --exec example_automation.py --exec example_monitoring.py
+"""
+import mcrfpy
+import time
+
+class PerformanceMonitor:
+    def __init__(self):
+        self.start_time = time.time()
+        self.frame_samples = []
+        self.scene_changes = []
+        self.last_scene = None
+        print("Monitor: Performance monitoring initialized")
+        
+    def collect_metrics(self):
+        """Collect performance and state metrics"""
+        current_frame = mcrfpy.getFrame()
+        current_time = time.time() - self.start_time
+        current_scene = mcrfpy.currentScene()
+        
+        # Track frame rate
+        if len(self.frame_samples) > 0:
+            last_frame, last_time = self.frame_samples[-1]
+            fps = (current_frame - last_frame) / (current_time - last_time)
+            print(f"Monitor: FPS = {fps:.1f}")
+        
+        self.frame_samples.append((current_frame, current_time))
+        
+        # Track scene changes
+        if current_scene != self.last_scene:
+            print(f"Monitor: Scene changed from '{self.last_scene}' to '{current_scene}'")
+            self.scene_changes.append((current_time, self.last_scene, current_scene))
+            self.last_scene = current_scene
+        
+        # Keep only last 100 samples
+        if len(self.frame_samples) > 100:
+            self.frame_samples = self.frame_samples[-100:]
+        
+    def generate_report(self):
+        """Generate a summary report"""
+        if len(self.frame_samples) < 2:
+            return
+            
+        total_frames = self.frame_samples[-1][0] - self.frame_samples[0][0]
+        total_time = self.frame_samples[-1][1] - self.frame_samples[0][1]
+        avg_fps = total_frames / total_time
+        
+        print("\n=== Performance Report ===")
+        print(f"Monitor: Total time: {total_time:.1f} seconds")
+        print(f"Monitor: Total frames: {total_frames}")
+        print(f"Monitor: Average FPS: {avg_fps:.1f}")
+        print(f"Monitor: Scene changes: {len(self.scene_changes)}")
+        
+        # Stop monitoring
+        mcrfpy.delTimer("performance_monitor")
+
+# Create monitor instance
+monitor = PerformanceMonitor()
+
+# Register monitoring timer (runs every 500ms)
+mcrfpy.setTimer("performance_monitor", monitor.collect_metrics, 500)
+
+# Register report generation (runs after 30 seconds)
+mcrfpy.setTimer("performance_report", monitor.generate_report, 30000)
+
+print("Monitor: Script loaded - collecting metrics every 500ms")
+print("Monitor: Will generate report after 30 seconds")