I don't know how big the stack actually has to be for this example, but, on my machine, with half of the size specified below, python crashes. With python 3.5, on a Windows 10 圆4 system, it demonstrates a very deep recursion that's normally impossible (the normally allowed recursion limit in my situation appears to be 993). Array can only be used for specific types, whereas lists can be used for any object. Solution 3Īs noted in some related questions like here, it's generally not a good idea to play with the stack size to extend the recursion depth, but here's code that shows how to grow the stack to that effect. Try setting that to a value you feel is large enough, and then doing the work of this DLL in a new thread. The python thread module allows you to specify a new stack size for new threads. Or is there a specific reason for using the stack? If you really have to use alloca you might want to create a separate thread for execution of DLL code (which is overkill I think).ĮDIT: Correction - Python does allow for setting the stack size when creating new threads (see thread.stack_size) Solution 2 Let’s say we have a pile of books as follows. We can add and remove elements from one end of the stack (the top). Let’s see the scenario with a real-world example. Implementing a stack is surprisingly straightforward in Python by using lists. And it follows the Last-in/First-out (LIFO) principle. Try setting that to a value you feel is large enough, and then doing the work of this DLL in a new thread. What is a Stack A stack is similar to the pile of books, chairs, etc., in real-life. As Python (and the Win32 API for Python) does not expose such functionality, you should rather replace the stack allocation with heap memory. append() and extend() in Python - The append() and extend() functions are used with the python list to increase its number of elements. The python thread module allows you to specify a new stack size for new threads. append () will help you process lists in your programs. For example, if axis0 it will be the first dimension and if axis-1 it will be the last dimension. The axis parameter specifies the index of the new axis in the dimensions of the result. This method is widely used either to add a single item to the end of a list or to populate a list using a for loop. numpy.stack numpy.stack(arrays, axis0, outNone,, dtypeNone, casting'samekind') source Join a sequence of arrays along a new axis. AFAIK a program can only change the stack size of new threads or processes (Windows' CreateThread function, for example). append () that you can use to add items to the end of a given list.
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