![]() ![]() Now, in case you do not have a reference to the old function (i.e. > old_foo_ref() # now the old function object is also running the new code > mymod.foo() # reloaded module has new code The Python reload module is useful in situations like an interactive session where we are frequently running any test script because in such cases we always use the module's first version even if any changes have been made in the code. > old_foo_ref() # old reference is running old code This feature is only relevant when using the Python import functionality and working on the imported modules. The Python reload module is used in reloading any module that has previously been imported into the program. > # edit mymod.py to make function "foo" print "bar" If you then do some work on the submodule . Python3 reload() Python reload() Python2.x reload() Python2.x reload() Python2.x Python3.3 imp (Python2.x imp )Python3. Other module / python session: > import mymod The scenario that the library addresses is that your code imports some module which, in turn, imports a submodule. Module mymod: from _future_ import print_function So as long as you have a reference to the function, you can update its code: But what that function actually does when called is not saved in that object, but in another object that, in turn, is referenced by the function object, in its attribute _code_. autoreload 2 - auto-reload all the modules. Its a good option if you want to specifically auto-reload only a selected module. The function you want to replace is a object somewhere in memory, and your code might hold many references to it (and not to the name of the function). autoreload 1 - it will only auto-reload modules that were imported using the aimport function (e.g aimport mymodule). I would not recommend doing it in production, but here is how it works: ![]() If you are using Python 3.While reloading of functions is not a feature of the reload function, it is still possible. It used to be a built-in function in Python 2, but this is no longer the case. Reloading modules in Python2. If you’ve altered the module source file using an outside editor and want to test the updated version without leaving the Python interpreter, this is helpful. Python 3 supports inline reloading of modules using a function called, well clever enough, reload. Reloading modules in Python Read Discuss Courses Practice The reload () is a previously imported module. As the function uses global variables (this is intended), the variables in testmain.py need to be bound to the namespace of testsub.py to be known there. I would like to import a function from a python subscript (testsub.py) into a main python script (testmain.py). The problem is, when I do changes to the Python code (like, add a new function), they are not immediately usable, because neither the Python REPL, nor IPython / Jupyter would auto-reload them. Python set global variable in namespace of only partially imported module. ![]() With time, I have developed this practice of opening up a Python REPL (though I recommend IPython or the Jupyter Console for that), importing my in-progress module and singling out separate functions I would like to test. Well, that’s certainly a way, but as modules get bigger, they tend to import other modules, or do some preliminary setup work. ![]() Piece of cake! Add the changes and execute the script again. Often, I would work on a Python module and add changes to it live, which I would then want to test immediately. ![]()
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