Getting File one (have two classes and functions) elements in file two in Python

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.

>Solution :

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.