When working with functions and global variables, it's crucial to understand how their scope and interactions affect your code's behavior. Let's dive into a specific case where a function seems to fail to update a global variable, leading to unexpected results.
Consider the following code:
<code class="python">done = False def function(): for loop: code if not comply: done = True # Let's assume the code enters this if-statement while done == False: function()</code>
As you've noticed, this code continues executing function() even after it has set done to True. The reason is that the function() creates its own local namespace, and any changes made to variables within that function are not propagated to the global scope. To use the global variable done instead, you need to explicitly declare its global nature within the function using the global keyword:
<code class="python">def function(): global done for loop: code if not comply: done = True</code>
By incorporating the global keyword, you establish a link between the global variable and its local counterpart within the function. As a result, any changes made to done within the function will reflect directly in the global scope, causing the while loop to exit when done becomes True.
In contrast, in this example:
<code class="python">done = False while done == False: for loop: code if not comply: done = True # Let's assume the code enters this if-statement</code>
the done variable is defined within the while loop's scope and therefore is not affected by the done variable defined outside the loop. Consequently, the while loop will exit as expected when done is set to True within the loop's scope.
Understanding the scope of variables and the effects of functions on global variables is essential for writing robust and predictable code. Always remember to carefully consider how your functions interact with global variables, and use the global keyword judiciously to ensure that changes made within functions are propagated to the global scope as intended.
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