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Efficiently manage logging in Python with `logging.disable` and custom decorators to control when messages are logged.

To disable logging in Python, you can use the `logging.disable` method. This method allows you to dynamically disable logging calls in your Python application without the need to comment out the logging calls manually.

One way to use `logging.disable` is to set the logging level to a value higher than the highest level of logging messages you want to disable. For example, if you want to disable all logging messages below the `WARNING` level, you can set the logging level to `WARNING` and then call `logging.disable(logging.WARNING)`. This will prevent any messages below the `WARNING` level from being logged.

Another approach is to use the `logging.isEnabledFor` method to check if a specific logging level is enabled before actually logging the message. This can help reduce the overhead of creating logging messages if logging is disabled for that level.

Additionally, you can create custom logging decorators to wrap functions that require logging. These decorators can be modified at runtime to either log or not log messages based on a specific threshold level.

Overall, the `logging.disable` method, along with custom decorators and conditional logging based on log levels, can help efficiently manage and control logging calls in your Python application. This can be especially useful in scenarios where excessive logging impacts performance or where you need to toggle logging on and off dynamically.