I have a file (PatchFinder.py) with two classes:

class PatchFinder():
    
  def __init__(self, dataset, pf: float):
        #super(TopFeatures, self).__init__()
        self.pf = pf
        self.dataset = dataset
        self.datas = dataset[0].to('cpu')

    def TopFeaturesFind(self, g: Graph) -> Graph:
        Zxx, self.edge_index_, edge_weights = g.unfold()
        print(self.pf)
        print(Zxx)
        print(self.edge_index_)
        print(edge_weights)
        return Zxx
    def anotherMethod(self):
        print("something")

2nd class

 class Class2(torch.nn.Module):
    def __init__(self, dataset, hidden_channels):
        super(GCN, self).__init__()

    def forward(self, x, edge_index_):
        return x

Now in another File2.py I want to get the TopFeaturesFind() values. This is what i am doing:

import PatchFinder
def main():
    tf = PatchFinder()
    t=tf.TopFeaturesFind()
    print(t)
if __name__ == '__main__':
    main()

but i am getting error:

    tf = PatchFinder()
TypeError: 'module' object is not callable

What I am doing wrong here? I am from a java background. This seems ok to me. As far as i read

As stated: “Private” instance variables that cannot be accessed except from inside an object don’t exist in Python. source

Note: I don't want to inherit the PatchFinder, both files are in the same folder.

CodePudding user response：

Your import PatchFinder imports the module, so when you call PatchFinder() you are trying to "initialise" the module, not the class. There's guidance here: https://docs.python.org/3/tutorial/modules.html

All you need to do is specify that you want to initialise the object defined within the module. Change tf = PatchFinder() to tf = PatchFinder.PatchFinder() and it should work.

CodePudding user response：

PatchFinder is the module that you are calling. To access the PatchFinder class USE

tf = PatchFinder.PatchFinder()

OR import the class like this

from PatchFinder import PatchFinder