chore: import upstream snapshot with attribution

docs/examples/c4a_script/c4a_script_hello_world.py

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+"""
+C4A-Script Hello World
+A concise example showing how to use the C4A-Script compiler
+"""
+
+from crawl4ai.script.c4a_compile import compile
+
+# Define your C4A-Script
+script = """
+GO https://example.com
+WAIT `#content` 5
+IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
+CLICK `button.submit`
+"""
+
+# Compile the script
+result = compile(script)
+
+# Check if compilation was successful
+if result.success:
+    # Success! Use the generated JavaScript
+    print("✅ Compilation successful!")
+    print(f"Generated {len(result.js_code)} JavaScript statements:\n")
+    
+    for i, js in enumerate(result.js_code, 1):
+        print(f"{i}. {js}\n")
+    
+    # In real usage, you'd pass result.js_code to Crawl4AI:
+    # config = CrawlerRunConfig(js_code=result.js_code)
+    
+else:
+    # Error! Handle the compilation error
+    print("❌ Compilation failed!")
+    
+    # Get the first error (there might be multiple)
+    error = result.first_error
+    
+    # Show error details
+    print(f"Error at line {error.line}, column {error.column}")
+    print(f"Message: {error.message}")
+    
+    # Show the problematic code
+    print(f"\nCode: {error.source_line}")
+    print(" " * (6 + error.column) + "^")
+    
+    # Show suggestions if available
+    if error.suggestions:
+        print("\n💡 How to fix:")
+        for suggestion in error.suggestions:
+            print(f"   {suggestion.message}")
+    
+    # For debugging or logging, you can also get JSON
+    # error_json = result.to_json()