Circular dependency in Python
Importing Python Modules is a great article that explains circular imports in Python. The easiest way to fix this is to move the path import to the end of the node module.
circular-dependency
How to avoid circular imports in Python? [duplicate]
Consider the following example python package where a.py and b.py depend on each other: /package __init__.py a.py b.py Types of circular import problems Circular import dependencies typically fall into two categories depending on what you’re trying to import and where you’re using it inside each module. (And whether you’re using python 2 or 3). 1. … Read more
Circular import dependency in Python
You may defer the import, for example in a/__init__.py: def my_function(): from a.b.c import Blah return Blah() that is, defer the import until it is really needed. However, I would also have a close look at my package definitions/uses, as a cyclic dependency like the one pointed out might indicate a design problem.
ImportError: Cannot import name X
You have circular dependent imports. physics.py is imported from entity before class Ent is defined and physics tries to import entity that is already initializing. Remove the dependency to physics from entity module.
Python circular importing?
I think the answer by jpmc26, while by no means wrong, comes down too heavily on circular imports. They can work just fine, if you set them up correctly. The easiest way to do so is to use import my_module syntax, rather than from my_module import some_object. The former will almost always work, even if … Read more
How to deal with cyclic dependencies in Node.js
Try to set properties on module.exports, instead of replacing it completely. E.g., module.exports.instance = new ClassA() in a.js, module.exports.ClassB = ClassB in b.js. When you make circular module dependencies, the requiring module will get a reference to an incomplete module.exports from the required module, which you can add other properties latter on, but when you … Read more
Circular (or cyclic) imports in Python
If you do import foo (inside bar.py) and import bar (inside foo.py), it will work fine. By the time anything actually runs, both modules will be fully loaded and will have references to each other. The problem is when instead you do from foo import abc (inside bar.py) and from bar import xyz (inside foo.py). … Read more
Resolve build errors due to circular dependency amongst classes
The way to think about this is to “think like a compiler”. Imagine you are writing a compiler. And you see code like this. // file: A.h class A { B _b; }; // file: B.h class B { A _a; }; // file main.cc #include “A.h” #include “B.h” int main(…) { A a; } … Read more