![]() # Enqueue or dequeue a bit, with latter having probability of 10%. Return (itm, lst) # Then return item and new list. ![]() Lst = lst # Change list to remove first item. Return lst # And return list (for consistency with dequeue). Lst.append(itm) # Just add item to end of list. ![]() Were it more serious code, it would be implemented as a class but it should be enough to illustrate the workings: import random That diagram shows a queue where you've enqueued the numbers 1, 2 and 3 in that order, without yet dequeuing any.īy way of example, here's some Python code that shows a simplistic queue in action, with enqueue and dequeue functions. This lock mechanism is automatically followed by a program with statements like ‘INSERT’, ‘UPDATE’, ‘DELETE’. ![]() Now, the ‘ENQUEUE’ server sets the lock, which gives the program ‘read’ or ‘write’ or ‘exclusive’ access, etc. These function modules are for when you are in full control of the data and logic, not when you are calling an SAP function and not in full control of everything that is happening in the system. There are variations of queues such as double-ended ones where you can enqueue and dequeue at either end but the vast majority would be the simpler form: +-+-+-+ This lock request goes to the ‘ENQUEUE’ server. You enqueue items at one end and dequeue at the other, just like a line of people queuing up for tickets to the latest Taylor Swift concert (I was originally going to say Billy Joel but that would date me severely). Enqueue and Dequeue tend to be operations on a queue, a data structure that does exactly what it sounds like it does. ![]()
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