When using recursion you need to make sure that you have a base case or stopping condition. Especially since it seems like you want the process to repeat indefinitely. Recursion here is being used instead of a loop and a loop would be a better solution. It seems in these examples that there is no need use or benefit from using recursion at all. Thus Python doesn't know to raise a RecursionError and the stack overflows. I believe the reason you get Fatal Python error: Cannot recover from stack overflow is because Python does not recognize this example as recursion since the recursion is happening through the threading Timer. In this case, however you make the recursive call through timer_n() rather than directly. The basic problem is that you call the same function recursively without any stopping conditions. The problem here and reason your second version works seem to be roughly the same as in your examples from the first question. In the first example, since the next call to oku happens inside the current call of oku, no calls are removed from the call stack. So one call is added to the call stack, then removed, then another is added, and removed again, and so on. In your second example, oku may be called more than 1000 times, but each call is made after the previous call has completed execution. Once oku calls itself 1000 times the maximum recursion depth is hit and Python raises a RecursionError. So in your first example, the function oku calls itself many times, each time adding a call to the call stack. This means that the call stack cannot exceed the maximum depth (1000 by default). Python has a maximum recursion depth in order to prevent a stack overflow.
Import _ports as port_listĬls.msj_gndr.append(cls.check_connection()) Thread 0x00001648 (most recent call first):įile "C:\Users\evil\AppData\Local\Programs\Python\Python37-32\lib\tkinter\_init_.py", line 1283 in mainloopįile "C:/Users/evil/Desktop/_Project_GUI/Form.py", line 77 in īut when I changed call_read(self) like this: self.timer_flag = Trueĭoes the program generate a forward-looking error with while solution? Packages\serial\serialutil.py", line 659 in read_untilįile "C:\Users\evil\Desktop\_Project_GUI\Arnocom.py", line 40 in readįile "C:/Users/evil/Desktop/_Project_GUI/Form.py", line 38 in call_readįile "C:\Users\evil\AppData\Local\Programs\Python\Python37-32\lib\threading.py", line 1158 in runįile "C:/Users/evil/Desktop/_Project_GUI/Form.py", line 51 in call_read Packages\serial\serialwin32.py", line 272 in read Fatal Python error: Cannot recover from stack overflow.Ĭurrent thread 0x000005c0 (most recent call first):įile "C:\Users\evil\Desktop\_Project_GUI\venv\lib\site. The program gives this error after running for a while. Timer_read = Timer(0.01, my_gui.call_read) Self.btn_f.config(command=motions.foward) Second question: from Arnocom import communication as COM
There is no problem when I execute this code. RecursionError: maximum recursion depth exceeded while pickling an object. When This codes was executed, the program is failing. I searched in google about "RecursionError: maximum recursion depth." and any answer was not enough for me (sys.setrecursionlimit(10000), tail recursion function, detactors). At first, Python program worked very nicely but after a while the program failed. I'm trying to develope a basic robot or rover whatever and I constantly want to check incoming datas from Arduino. So I have no a lot of theoretical knowledge of computer science. Reading the values out of the disassembly is easier IMO.I am new in python and I graduated in mechanical engineering.
#Bitburner spawn recursion limit portable
(You can work it out other ways – for example, computing the difference between pointers to variables in two calls – but they're even nastier, especially for portable code. The easiest way to do that (that I know of) is to use a disassembler (a feature of most debuggers) and to read out the size of the stack pointer adjustments at the start and end of every function. To know that, you have to compute the size of the activation record (or records) of the recursive function (also called a stack frame). Of course, the size of the stack doesn't entirely help by itself when it comes to working out how deep you can recurse. (See the docs for the ulimit shell built-in if you're on Unix.) The default on this machine (OSX) is 8 MB. The stack limit is typically tunable at the OS level. (Luckily, large things like string contents are typically held not on the stack itself.) That's typically less than the size of RAM by quite a few orders of magnitude, but is still pretty large. The limit in C++ is due to the maximum size of the stack.
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