elapsedTime

logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') # Define the API endpoint endpoint = 'https://api.example.com/endpoint' # Define the request payload payload = {'key': 'value'} # Initialize a co…

documents = [f"This is document {i}".encode('utf-8') for i in range(15000)] start_time = time.time() for document in documents: ingest_document(document) end_time = time.time() print(f"Processed {len(documents)} documents in {end_time…

# Run the tests and compare the results for database_name, connection in databases.items(): for strategy in indexing_strategies[database_name]: if database_name == 'mysql': with managed_cursor(connection) as cursor: …

print(f'Database: {database_name}, Indexing Strategy: {strategy}, Query: {query["query"]}, Time: {elapsed_time:.6f} seconds') elif database_name == 'mongodb': db = databases[database_name] …

The fixed window approach limits the number of requests within a fixed time interval. For example, you might allow 100 requests per minute. ### Example Implementation Using Fixed Window Approach Here's an example of how you can implement …

asyncio.run(test_api_calls(5000, rate_limiter)) ``` ### Explanation 1. **RateLimiter Class**: - `__init__`: Initializes the rate limiter with the maximum number of requests and the refill rate. - `wait_for_token`: Refills the token …

- `refill_rate`: The rate at which tokens are added to the bucket (in tokens per second). - `time_window`: The time window over which the rate limit applies. 2. **Refilling Tokens**: - `_refill_tokens`: This method calculates the …

time.sleep(10) # Simulating a time-consuming task def main(): start_time = datetime.datetime.now() # Profile the critical assignment code profiler = cProfile.Profile() profiler.enable() critical_assignmen…

Here's an example of the output: ``` 2023-10-05 12:00:00,000 - INFO - Started processing 1200000 documents at 2023-10-05 12:00:00 2023-10-05 12:00:00,001 - INFO - Processed 400000 out of 1200000 documents 2023-10-05 12:00:00,002 - INFO - P…

- `file_handler.setFormatter(formatter)`: Applies the formatter to the file handler. - `logging.getLogger().addHandler(file_handler)`: Adds the file handler to the root logger. 3. **Class Methods**: - `log_start`, `update_progress…

2023-10-05 12:00:00 - INFO - Logging level changed to DEBUG 2023-10-05 12:00:00 - DEBUG - This is a debug message 2023-10-05 12:00:00 - INFO - Logging level changed to INFO 2023-10-05 12:00:00 - INFO - Finished processing 1200000 documents …

return self.cache[key] result = self.index[key] self.cache[key] = result return result def batch_query(self, keys): results = [] with ThreadPoolExecutor(max_workers=10) as executor: …

- **Documentation**: Ensure that the code is well-documented and understandable to others who might need to work on it. 4. **Cost**: - **Operational Costs**: Increased computational complexity can lead to higher operational costs, es…

reformulated_query = suggestions[0] else: reformulated_query = query else: reformulated_query = query end_time = time.time() return reformulated_query, end_time - start_time # Define a fu…