Enforces a maximum execution time limit on the decorated function.

Signals that the decorated function should not exceed a specified time limit, indicating a safety or performance constraint.

Web development: bounding the time for an API call to prevent hanging; Data processing: limiting the time for reading a large file; Testing: ensuring a test does not run indefinitely

Found in scripts, API wrappers, test suites, or any code where a function call must be prevented from hanging indefinitely.

@timeout(seconds=seconds) def function_name(): function_body

@timeout(seconds=...) def ...(): ...

seconds: int > 0, function_name: valid Python identifier, function_body: statement or block

• commonly used with the timeout decorator
• specifying seconds
• defining a function
• using pass as a placeholder
• and handling TimeoutError exceptions

• Common substitutions include setting seconds to 5 or 10
• using a descriptive function name like 'my_task'
• returning a value such as 42
• or using time.sleep(5) to simulate a delay (though note that time.sleep may not be interrupted by the timeout in all contexts).

Failing to import the timeout decorator: causes a NameError when the decorator is used, resulting in a runtime crash.; Using an incorrect argument name (e.g., timeout=3 instead of seconds=3): results in a TypeError due to unexpected keyword argument.; Assuming the timeout works in all threading contexts: may fail to interrupt the function in certain threading or asynchronous environments, leading to unexpected behavior.; Missing parentheses after @timeout: causes a syntax error as the decorator is not applied correctly.; Not handling the raised TimeoutError: results in an unhandled exception that crashes the program if the function exceeds the time limit.

Similar: @retry, @retry(stop_max_attempt_number=3); Contrasting: @retry (retries on failure) vs @timeout (limits execution time)

Signal‑based timeouts may not work on Windows; threading‑based timeouts can leave background threads alive; confusing timeout with delay/sleep

• decorator_patterns

The timeout decorator typically raises a TimeoutError if the function exceeds the limit; its effectiveness depends on the underlying implementation (signal vs threading) and may not interrupt C extensions or certain blocking I/O on some platforms.

Communicates a design constraint that the function is expected to complete quickly, setting caller expectations about latency and reliability.

Think of a stopwatch: @timeout(seconds=3) puts a 3‑second stopwatch on the function.

Often implemented via third‑party libraries such as func_timeout or tenacity; behavior varies with the timeout mechanism used.

Consider using more full‑featured libraries like tenacity for combined retry‑and‑timeout logic, or signal.alarm on Unix for stricter timeout behavior.