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Python can’t just allocate a static amount of memory at object creation to store all the attributes. In 3 used 0.2305 MiB RAM in 0.12s, peaked 0.00 MiB above current, total RAM usage 15.80 MiB In 4: from slots. If you go in the main entrance, pass the centrifuge lounge and poker lounge, when you get to an area os slots, they should be on your left against the wall near the restrooms. Sort of loud and annoying. But it is monty python.
Simple, expandable, customizable slot machine
Monty Python Slot Machines Jackpot
Project description
Simple, expandable, customizable slot machine
pip install slotmachine
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0.0.3.8
0.0.3.3
Slot Machine Programming Code
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In Python every class can have instance attributes. By default Pythonuses a dict to store an object’s instance attributes. This is reallyhelpful as it allows setting arbitrary new attributes at runtime.
However, for small classes with known attributes it might be abottleneck. The dict wastes a lot of RAM. Python can’t just allocatea static amount of memory at object creation to store all theattributes. Therefore it sucks a lot of RAM if you create a lot ofobjects (I am talking in thousands and millions). Still there is a wayto circumvent this issue. It involves the usage of __slots__ totell Python not to use a dict, and only allocate space for a fixed setof attributes. Here is an example with and without __slots__:
Without__slots__:
With__slots__:
The second piece of code will reduce the burden on your RAM. Some peoplehave seen almost 40 to 50% reduction in RAM usage by using thistechnique.
On a sidenote, you might want to give PyPy a try. It does all of theseoptimizations by default.
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Below you can see an example showing exact memory usage with and without __slots__ done in IPython thanks to https://github.com/ianozsvald/ipython_memory_usage