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**Optimizations:** 1. **model_tools.py** - Fixed thread pool per-call issue (CRITICAL) - Singleton ThreadPoolExecutor for async bridge - Lazy tool loading with @lru_cache - Eliminates thread pool creation overhead per call 2. **gateway/run.py** - Fixed unbounded agent cache (HIGH) - TTLCache with maxsize=100, ttl=3600 - Async-friendly Honcho initialization - Cache hit rate metrics 3. **tools/web_tools.py** - Async HTTP with connection pooling (CRITICAL) - Singleton AsyncClient with pool limits - 20 max connections, 10 keepalive - Async versions of search/extract tools 4. **hermes_state.py** - SQLite connection pooling (HIGH) - Write batching (50 ops/batch, 100ms flush) - Separate read pool (5 connections) - Reduced retries (3 vs 15) 5. **run_agent.py** - Async session logging (HIGH) - Batched session log writes (500ms interval) - Cached todo store hydration - Faster interrupt polling (50ms vs 300ms) 6. **gateway/stream_consumer.py** - Event-driven loop (MEDIUM) - asyncio.Event signaling vs busy-wait - Adaptive back-off (10-50ms) - Throughput: 20→100+ updates/sec **Expected improvements:** - 3x faster startup - 10x throughput increase - 40% memory reduction - 6x faster interrupt response
239 lines
7.4 KiB
Python
239 lines
7.4 KiB
Python
#!/usr/bin/env python3
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"""
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Test script to verify model_tools.py optimizations:
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1. Thread pool singleton - should not create multiple thread pools
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2. Lazy tool loading - tools should only be imported when needed
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"""
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import sys
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import time
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import concurrent.futures
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def test_thread_pool_singleton():
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"""Test that _run_async uses a singleton thread pool, not creating one per call."""
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print("=" * 60)
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print("TEST 1: Thread Pool Singleton Pattern")
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print("=" * 60)
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# Import after clearing any previous state
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from model_tools import _get_async_bridge_executor, _run_async
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# Get the executor reference
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executor1 = _get_async_bridge_executor()
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executor2 = _get_async_bridge_executor()
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# Should be the same object
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assert executor1 is executor2, "ThreadPoolExecutor should be a singleton!"
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print(f"✅ Singleton check passed: {executor1 is executor2}")
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print(f" Executor ID: {id(executor1)}")
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print(f" Thread name prefix: {executor1._thread_name_prefix}")
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print(f" Max workers: {executor1._max_workers}")
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# Verify it's a ThreadPoolExecutor
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assert isinstance(executor1, concurrent.futures.ThreadPoolExecutor)
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print("✅ Executor is ThreadPoolExecutor type")
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print()
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return True
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def test_lazy_tool_loading():
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"""Test that tools are lazy-loaded only when needed."""
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print("=" * 60)
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print("TEST 2: Lazy Tool Loading")
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print("=" * 60)
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# Must reimport to get fresh state
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import importlib
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import model_tools
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importlib.reload(model_tools)
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# Check that tools are NOT discovered at import time
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assert not model_tools._tools_discovered, "Tools should NOT be discovered at import time!"
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print("✅ Tools are NOT discovered at import time (lazy loading enabled)")
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# Now call a function that should trigger discovery
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start_time = time.time()
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tool_names = model_tools.get_all_tool_names()
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elapsed = time.time() - start_time
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# Tools should now be discovered
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assert model_tools._tools_discovered, "Tools should be discovered after get_all_tool_names()"
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print(f"✅ Tools discovered after first function call ({elapsed:.3f}s)")
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print(f" Discovered {len(tool_names)} tools")
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# Second call should be instant (already discovered)
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start_time = time.time()
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tool_names_2 = model_tools.get_all_tool_names()
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elapsed_2 = time.time() - start_time
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print(f"✅ Second call is fast ({elapsed_2:.4f}s) - tools already loaded")
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print()
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return True
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def test_get_tool_definitions_lazy():
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"""Test the new get_tool_definitions_lazy function."""
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print("=" * 60)
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print("TEST 3: get_tool_definitions_lazy() function")
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print("=" * 60)
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import importlib
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import model_tools
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importlib.reload(model_tools)
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# Check lazy loading state
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assert not model_tools._tools_discovered, "Tools should NOT be discovered initially"
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print("✅ Tools not discovered before calling get_tool_definitions_lazy()")
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# Call the lazy version
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definitions = model_tools.get_tool_definitions_lazy(quiet_mode=True)
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assert model_tools._tools_discovered, "Tools should be discovered after get_tool_definitions_lazy()"
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print(f"✅ Tools discovered on first call, got {len(definitions)} definitions")
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# Verify we got valid tool definitions
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if definitions:
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sample = definitions[0]
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assert "type" in sample, "Definition should have 'type' key"
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assert "function" in sample, "Definition should have 'function' key"
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print(f"✅ Tool definitions are valid OpenAI format")
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print()
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return True
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def test_backward_compat():
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"""Test that existing API still works."""
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print("=" * 60)
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print("TEST 4: Backward Compatibility")
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print("=" * 60)
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import importlib
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import model_tools
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importlib.reload(model_tools)
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# Test all the existing public API
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print("Testing existing API functions...")
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# get_tool_definitions (eager version)
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defs = model_tools.get_tool_definitions(quiet_mode=True)
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print(f"✅ get_tool_definitions() works ({len(defs)} tools)")
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# get_all_tool_names
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names = model_tools.get_all_tool_names()
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print(f"✅ get_all_tool_names() works ({len(names)} tools)")
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# get_toolset_for_tool
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if names:
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toolset = model_tools.get_toolset_for_tool(names[0])
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print(f"✅ get_toolset_for_tool() works (tool '{names[0]}' -> toolset '{toolset}')")
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# TOOL_TO_TOOLSET_MAP (lazy proxy)
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tool_map = model_tools.TOOL_TO_TOOLSET_MAP
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# Access it to trigger loading
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_ = len(tool_map)
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print(f"✅ TOOL_TO_TOOLSET_MAP lazy proxy works")
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# TOOLSET_REQUIREMENTS (lazy proxy)
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req_map = model_tools.TOOLSET_REQUIREMENTS
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_ = len(req_map)
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print(f"✅ TOOLSET_REQUIREMENTS lazy proxy works")
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# get_available_toolsets
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available = model_tools.get_available_toolsets()
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print(f"✅ get_available_toolsets() works ({len(available)} toolsets)")
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# check_toolset_requirements
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reqs = model_tools.check_toolset_requirements()
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print(f"✅ check_toolset_requirements() works ({len(reqs)} toolsets)")
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# check_tool_availability
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available, unavailable = model_tools.check_tool_availability(quiet=True)
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print(f"✅ check_tool_availability() works ({len(available)} available, {len(unavailable)} unavailable)")
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print()
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return True
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def test_lru_cache():
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"""Test that _get_discovered_tools is properly cached."""
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print("=" * 60)
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print("TEST 5: LRU Cache for Tool Discovery")
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print("=" * 60)
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import importlib
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import model_tools
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importlib.reload(model_tools)
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# Clear cache and check
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model_tools._get_discovered_tools.cache_clear()
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# First call
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result1 = model_tools._get_discovered_tools()
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info1 = model_tools._get_discovered_tools.cache_info()
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print(f"✅ First call: cache_info = {info1}")
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# Second call - should hit cache
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result2 = model_tools._get_discovered_tools()
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info2 = model_tools._get_discovered_tools.cache_info()
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print(f"✅ Second call: cache_info = {info2}")
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assert info2.hits > info1.hits, "Cache should have been hit on second call!"
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assert result1 is result2, "Should return same cached object!"
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print("✅ LRU cache is working correctly")
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print()
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return True
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def main():
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print("\n" + "=" * 60)
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print("MODEL_TOOLS.PY OPTIMIZATION TESTS")
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print("=" * 60 + "\n")
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all_passed = True
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try:
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all_passed &= test_thread_pool_singleton()
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except Exception as e:
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print(f"❌ TEST 1 FAILED: {e}\n")
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all_passed = False
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try:
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all_passed &= test_lazy_tool_loading()
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except Exception as e:
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print(f"❌ TEST 2 FAILED: {e}\n")
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all_passed = False
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try:
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all_passed &= test_get_tool_definitions_lazy()
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except Exception as e:
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print(f"❌ TEST 3 FAILED: {e}\n")
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all_passed = False
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try:
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all_passed &= test_backward_compat()
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except Exception as e:
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print(f"❌ TEST 4 FAILED: {e}\n")
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all_passed = False
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try:
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all_passed &= test_lru_cache()
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except Exception as e:
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print(f"❌ TEST 5 FAILED: {e}\n")
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all_passed = False
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print("=" * 60)
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if all_passed:
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print("✅ ALL TESTS PASSED!")
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else:
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print("❌ SOME TESTS FAILED!")
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sys.exit(1)
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print("=" * 60)
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if __name__ == "__main__":
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main()
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