elapsed = time.perf_counter() - start; logging.getLogger(__name__).debug(f'{func.__name__} finished in {elapsed:.4f}s')

Decorators & Metaclasses

Meaning

Measures elapsed time using time.perf_counter and logs a debug message with the function name and duration.

Primary Function

Measure and log the execution duration of a function at debug level.

Communicative Purpose

Inform developers about function performance during debugging or profiling.

Função primária

Measure and log the execution duration of a function at debug level.

Propósito comunicativo

Inform developers about function performance during debugging or profiling.

Situações de gatilho

When wrapping a function call or placing inside a function body to monitor its execution time for debugging or performance tuning.

Contextos

Used inside a function wrapper, decorator, or directly within a function to log its own execution time.

Família do chunk

py-timer-decorator
py-timer-context-manager
py-logging-debug

Upgrade path

Use a reusable timing decorator or context manager for reusable timing logic.

Tag de espaçamento: Short-term

Examples

import time, logging\ndef process_data(items):\n start = time.perf_counter()\n result = [x * 2 for x in items]\n elapsed = time.perf_counter() - start\n logging.getLogger(__name__).debug(f'process_data finished in {elapsed:.4f}s')\n return result

import time, logging\ndef fetch_url(url):\n start = time.perf_counter()\n resp = requests.get(url)\n elapsed = time.perf_counter() - start\n logging.getLogger(__name__).debug(f'fetch_url finished in {elapsed:.4f}s')\n return resp

import time, logging\nwrapper = lambda f: lambda *a, **kw: (lambda s: (logging.getLogger(__name__).debug(f'{f.__name__} finished in {s:.4f}s'), r)[1])(time.perf_counter() - s) or (s := time.perf_counter()) or f(*a, **kw)