importerror: cannot import name

This is a circular dependency. It can be solved without any structural modifications to the code. The problem occurs because in vector you demand that entity be made available for use immediately, and vice versa. The reason for this problem is that you asking to access the contents of the module before it is ready -- by using from x import y. This is essentially the same as

import x
y = x.y
del x
Python is able to detect circular dependencies and prevent the infinite loop of imports. Essentially all that happens is that an empty placeholder is created for the module (ie. it has no content). Once the circularly dependent modules are compiled it updates the imported module. This is works something like this.

a = module() # import a

# rest of module

3.7
10

                                    # While you should definitely avoid circular dependencies,
# you can defer imports in python.
# for example:

import SomeModule

def someFunction(arg):
    from some.dependency import DependentClass
    
#this ( at least in some instances ) will circumvent the error.

3.7 (10 Votes)
0
3
2

                                    This is a circular dependency. It can be solved without any structural modifications to the code. The problem occurs because in vector you demand that entity be made available for use immediately, and vice versa. The reason for this problem is that you asking to access the contents of the module before it is ready -- by using from x import y. This is essentially the same as

import x
y = x.y
del x
Python is able to detect circular dependencies and prevent the infinite loop of imports. Essentially all that happens is that an empty placeholder is created for the module (ie. it has no content). Once the circularly dependent modules are compiled it updates the imported module. This is works something like this.

a = module() # import a

# rest of module

a.update_contents(real_a)
For python to be able to work with circular dependencies you must use import x style only.

import x
class cls:
    def __init__(self):
        self.y = x.y
Since you are no longer referring to the contents of the module at the top level, python can compile the module without actually having to access the contents of the circular dependency. By top level I mean lines that will be executed during compilation as opposed to the contents of functions (eg. y = x.y). Static or class variables accessing the module contents will also cause problems.

3 (2 Votes)
0
3
2
Numeri 110 points

                                    While you should definitely avoid circular dependencies, you can defer imports in python.

for example:

import SomeModule

def someFunction(arg):
    from some.dependency import DependentClass
this ( at least in some instances ) will circumvent the error.

3 (2 Votes)
0
4.25
4
Dag729 90 points

                                    from django.conf.urls import include

4.25 (4 Votes)
0
0
3
G987 105 points

                                    import SomeModule

def someFunction(arg):
    from some.dependency import DependentClass

0
0
4.4
5
Carlbschultz 110 points

                                    Search your entire project/solution (generally ctrl-shift-f) for 'flask' or whatever the name import error is.
You may have it being imported twice and just need to remove one.

4.4 (5 Votes)
0
0
0

                                    This is a circular dependency. It can be solved without any structural modifications to the code. The problem occurs because in vector you demand that entity be made available for use immediately, and vice versa. The reason for this problem is that you asking to access the contents of the module before it is ready -- by using from x import y. This is essentially the same as

import x
y = x.y
del x
Python is able to detect circular dependencies and prevent the infinite loop of imports. Essentially all that happens is that an empty placeholder is created for the module (ie. it has no content). Once the circularly dependent modules are compiled it updates the imported module. This is works something like this.

a = module() # import a

# rest of module

0
0
4.22
9

                                    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.

4.22 (9 Votes)
0
3.57
7
Gnat 110 points

                                    import SomeModule

def someFunction(arg):
    from some.dependency import DependentClass

3.57 (7 Votes)
0
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