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Python "raise from" usage

People also ask

Does raise in Python stop execution?

The effect of a raise statement is to either divert execution in a matching except suite, or to stop the program because no matching except suite was found to handle the exception. The exception object created by raise can contain a message string that provides a meaningful error message.

What is a raising exception in Python?

raise allows you to throw an exception at any time. assert enables you to verify if a certain condition is met and throw an exception if it isn't. In the try clause, all statements are executed until an exception is encountered. except is used to catch and handle the exception(s) that are encountered in the try clause.

What is raise from in Python?

Summary. Use the Python raise from statement to modify and forward an existing exception. Use the raise exception from None statment to hide the cause of the exception.

Can I raise and return Python?

You can't raise and return , but you could return multiple values, where the first is the same as what you're currently using, and the second indicates if an exception arose return True, sys. exc_info() == (None, None, None) or something similar but better suited to context.


The difference is that when you use from, the __cause__ attribute is set and the message states that the exception was directly caused by. If you omit the from then no __cause__ is set, but the __context__ attribute may be set as well, and the traceback then shows the context as during handling something else happened.

Setting the __context__ happens if you used raise in an exception handler; if you used raise anywhere else no __context__ is set either.

If a __cause__ is set, a __suppress_context__ = True flag is also set on the exception; when __suppress_context__ is set to True, the __context__ is ignored when printing a traceback.

When raising from a exception handler where you don't want to show the context (don't want a during handling another exception happened message), then use raise ... from None to set __suppress_context__ to True.

In other words, Python sets a context on exceptions so you can introspect where an exception was raised, letting you see if another exception was replaced by it. You can also add a cause to an exception, making the traceback explicit about the other exception (use different wording), and the context is ignored (but can still be introspected when debugging). Using raise ... from None lets you suppress the context being printed.

See the raise statement documenation:

The from clause is used for exception chaining: if given, the second expression must be another exception class or instance, which will then be attached to the raised exception as the __cause__ attribute (which is writable). If the raised exception is not handled, both exceptions will be printed:

>>> try:
...     print(1 / 0)
... except Exception as exc:
...     raise RuntimeError("Something bad happened") from exc
...
Traceback (most recent call last):
  File "<stdin>", line 2, in <module>
ZeroDivisionError: int division or modulo by zero

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "<stdin>", line 4, in <module>
RuntimeError: Something bad happened

A similar mechanism works implicitly if an exception is raised inside an exception handler or a finally clause: the previous exception is then attached as the new exception’s __context__ attribute:

>>> try:
...     print(1 / 0)
... except:
...     raise RuntimeError("Something bad happened")
...
Traceback (most recent call last):
  File "<stdin>", line 2, in <module>
ZeroDivisionError: int division or modulo by zero

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<stdin>", line 4, in <module>
RuntimeError: Something bad happened

Also see the Built-in Exceptions documentation for details on the context and cause information attached to exceptions.