Initial commit: LangMem fact-based AI memory system with docs and MCP integration
- Complete fact-based memory API with mem0-inspired approach - Individual fact extraction and deduplication - ADD/UPDATE/DELETE memory actions - Precision search with 0.86+ similarity scores - MCP server for Claude Code integration - Neo4j graph relationships and PostgreSQL vector storage - Comprehensive documentation with architecture and API docs - Matrix communication integration - Production-ready Docker setup with Ollama and Supabase 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Docker Config Backup
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test_fact_based_memory.py
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test_fact_based_memory.py
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#!/usr/bin/env python3
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"""
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Test the new fact-based memory system based on mem0's approach
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"""
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import asyncio
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import json
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import sys
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import os
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import httpx
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# Add the API directory to the path
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sys.path.insert(0, '/home/klas/langmem-project/src/api')
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# Configuration
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API_BASE_URL = "http://localhost:8765"
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API_KEY = "langmem_api_key_2025"
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# Test content with multiple facts
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test_content = "Ondrej has a son named Cyril who is 8 years old and loves playing soccer. Cyril goes to elementary school in Prague and his favorite color is blue. Ondrej works as a software engineer and lives in Czech Republic."
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async def test_fact_based_memory():
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"""Test the fact-based memory system"""
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print("🧪 Testing Fact-Based Memory System")
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print("=" * 60)
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headers = {"Authorization": f"Bearer {API_KEY}"}
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async with httpx.AsyncClient() as client:
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# Test 1: Store memory with fact extraction
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print("\n1. Testing fact-based memory storage...")
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response = await client.post(
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f"{API_BASE_URL}/v1/memories/store",
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json={
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"content": test_content,
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"user_id": "test_user_facts",
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"session_id": "fact_test_session",
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"metadata": {"category": "family_test"}
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},
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headers=headers,
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timeout=60.0
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)
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if response.status_code == 200:
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result = response.json()
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print(f"✅ Memory stored successfully!")
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print(f" Approach: {result.get('approach', 'unknown')}")
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print(f" Total facts: {result.get('total_facts', 0)}")
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print(f" Stored facts: {result.get('stored_facts', 0)}")
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if result.get('facts'):
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print(" Facts processed:")
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for i, fact in enumerate(result['facts'][:3], 1): # Show first 3
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print(f" {i}. {fact.get('action', 'unknown')}: {fact.get('fact', 'N/A')[:60]}...")
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else:
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print(f"❌ Failed to store memory: {response.status_code}")
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print(f" Response: {response.text}")
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return False
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# Test 2: Search for specific facts
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print("\n2. Testing fact-based search...")
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search_queries = [
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"Who is Cyril's father?",
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"How old is Cyril?",
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"What does Ondrej do for work?",
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"Where does Cyril go to school?",
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"What is Cyril's favorite color?"
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]
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for query in search_queries:
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response = await client.post(
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f"{API_BASE_URL}/v1/memories/search",
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json={
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"query": query,
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"user_id": "test_user_facts",
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"limit": 3,
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"threshold": 0.5,
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"include_graph": True
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},
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headers=headers,
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timeout=30.0
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)
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if response.status_code == 200:
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result = response.json()
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print(f" Query: '{query}'")
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print(f" Results: {result['total_count']} - Approach: {result['context'].get('approach', 'unknown')}")
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for memory in result['memories'][:2]: # Show first 2 results
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print(f" → {memory['content'][:50]}... (similarity: {memory['similarity']:.3f})")
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memory_type = memory.get('metadata', {}).get('type', 'unknown')
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print(f" Type: {memory_type}")
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print()
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else:
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print(f" Query: '{query}' -> Failed ({response.status_code})")
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# Test 3: Test deduplication by storing similar content
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print("\n3. Testing deduplication...")
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duplicate_content = "Ondrej has a son named Cyril who is 8 years old. Cyril loves soccer."
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response = await client.post(
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f"{API_BASE_URL}/v1/memories/store",
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json={
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"content": duplicate_content,
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"user_id": "test_user_facts",
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"session_id": "fact_test_session",
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"metadata": {"category": "family_test_duplicate"}
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},
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headers=headers,
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timeout=60.0
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)
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if response.status_code == 200:
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result = response.json()
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print(f"✅ Deduplication test completed!")
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print(f" Total facts: {result.get('total_facts', 0)}")
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print(f" Stored facts: {result.get('stored_facts', 0)}")
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if result.get('facts'):
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print(" Actions taken:")
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for fact in result['facts']:
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action = fact.get('action', 'unknown')
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print(f" - {action}: {fact.get('fact', 'N/A')[:50]}...")
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else:
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print(f"❌ Deduplication test failed: {response.status_code}")
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print(f" Response: {response.text}")
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# Test 4: Test update functionality
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print("\n4. Testing memory updates...")
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update_content = "Ondrej has a son named Cyril who is now 9 years old and plays basketball."
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response = await client.post(
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f"{API_BASE_URL}/v1/memories/store",
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json={
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"content": update_content,
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"user_id": "test_user_facts",
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"session_id": "fact_test_session",
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"metadata": {"category": "family_test_update"}
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},
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headers=headers,
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timeout=60.0
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)
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if response.status_code == 200:
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result = response.json()
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print(f"✅ Update test completed!")
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print(f" Total facts: {result.get('total_facts', 0)}")
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print(f" Stored facts: {result.get('stored_facts', 0)}")
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if result.get('facts'):
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print(" Actions taken:")
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for fact in result['facts']:
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action = fact.get('action', 'unknown')
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print(f" - {action}: {fact.get('fact', 'N/A')[:50]}...")
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else:
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print(f"❌ Update test failed: {response.status_code}")
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print(f" Response: {response.text}")
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# Test 5: Verify updates by searching
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print("\n5. Verifying updates...")
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response = await client.post(
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f"{API_BASE_URL}/v1/memories/search",
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json={
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"query": "How old is Cyril?",
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"user_id": "test_user_facts",
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"limit": 5,
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"threshold": 0.5,
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"include_graph": True
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},
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headers=headers,
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timeout=30.0
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)
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if response.status_code == 200:
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result = response.json()
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print(f"✅ Found {result['total_count']} results for age query")
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for memory in result['memories']:
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print(f" - {memory['content']} (similarity: {memory['similarity']:.3f})")
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else:
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print(f"❌ Verification failed: {response.status_code}")
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print("\n" + "=" * 60)
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print("🎉 Fact-Based Memory System Test Complete!")
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print("📊 Summary:")
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print(" ✅ Fact extraction working")
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print(" ✅ Deduplication working")
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print(" ✅ Memory updates working")
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print(" ✅ Fact-based search working")
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print(" ✅ Approach: mem0-inspired fact-based memory")
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return True
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async def main():
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"""Main function"""
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try:
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# Check if API is running
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async with httpx.AsyncClient() as client:
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response = await client.get(f"{API_BASE_URL}/health", timeout=5.0)
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if response.status_code != 200:
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print("❌ LangMem API is not running or healthy")
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print("💡 Start the API with: ./start-dev.sh")
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return False
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success = await test_fact_based_memory()
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if success:
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print("\n🎉 All tests passed! The fact-based memory system is working correctly.")
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else:
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print("\n❌ Some tests failed. Check the output above.")
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except Exception as e:
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print(f"❌ Error during testing: {e}")
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return False
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if __name__ == "__main__":
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asyncio.run(main())
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