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Storing and Firing Functions in Python
To avoid unwieldy def statements and facilitate the management of multiple functions, we explore a method to store functions in data structures, enabling their execution when indexed or keyed.
Using a Dictionary for Function Dispatch
Functions are first-class objects in Python, allowing them to be stored and dispatched using dictionaries. Consider the following example:
<code class="python">dispatcher = {'foo': foo, 'bar': bar}</code>
In this dictionary, foo and bar are function objects, not callable instances (e.g., foo() or bar()). To invoke foo, use:
<code class="python">dispatcher['foo']()</code>
Storing Multiple Functions in a List
If you want to execute multiple functions grouped in a list, a possible approach is:
<code class="python">dispatcher = {'foobar': [foo, bar], 'bazcat': [baz, cat]} def fire_all(func_list): for f in func_list: f() fire_all(dispatcher['foobar'])</code>
In this case, the key 'foobar' maps to a list of functions. The fire_all function iterates over the list and executes each function.
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