Project: s41467-024-46523-1 | Function: StoF (python)

system: You are an expert Python programmer implementing algorithms from scientific papers.
Complete the masked function based on the algorithm description.
Follow Python best practices and maintain consistent code style.
Return **only** the complete Python function code.

user: Complete this Python function:

**DESCRIPTION:** Converts SMILES molecular representations to 4096-bit Avalon fingerprints for neural network input processing

**KEY TERMS:** {
  "smiles": "simplified molecular-input line-entry system strings",
  "fingerprints_SM": "molecular fingerprint matrix",
  "GetAvalonFP": "Avalon fingerprint generation method",
  "fn": "fingerprint bit length (4096)",
  "mol": "RDKit molecular object"
}

**CONTEXT CODE:**     def __init__(self, master = None):
        super().__init__(master)
        # Setting of Text Area
        self.master.title(r"HOBO_LUBO_Predictor")
        self.master.geometry("300x190")

        # Setting of Fonts
        font1 = Font(family="Arial", size=14, weight=tk.font.BOLD, slant="italic")
        font2 = Font(family="Arial", size=12, weight=tk.font.BOLD)

        # Setting of Label
        label1 = tk.Label(self.master,text="CHT / NCD", font=font1)
        label2 = tk.Label(self.master,text="Enophile", font=font1)
        label1.place (x=110, y=5)
        label2.place (x=110, y=65)

        # Setting of CHT's SMILES Entry
        txt1 = tk.Text(height=2, width=38, bg="bisque", fg="black", font=font2)
        txt1.place(x=15, y=25)

        # Setting of EP's SMILES Entry
        txt2 = tk.Text(height=2, width=38, bg="bisque", fg="black", font=font2)
        txt2.place(x=15, y=85)

        # Setting of Predict Button
        bt_pred = tk.Button(text=u'Predict !!', bg ="pale green", height=1, width=10, font=font2, command=lambda:self.predict(txt1,txt2)) 
        bt_pred.place(x=30, y=140)

        # Setting of Exit Button
        bt_exit = tk.Button(self.master, text='Exit', bg="pale green", height=1, width=10, font=font2, command=lambda:self.Exit())
        bt_exit.place(x=160, y=140)

class Window2():

    @classmethod
    def Exit(cls, master=None):
        master.destroy()

    @classmethod
    def figure(cls,smiles):
        mols = [Chem.MolFromSmiles(smiles)]
        img = Draw.MolToFile(mols[0],'test.png', size=(200, 200))
        return img

    @classmethod
    def Result_window(cls, CHT_smiles, EP_smiles, list):
        # MASKED: Processes and displays HOBO-LUBO energy gap prediction results with molecular structure visualization and numerical outputs
        raise NotImplementedError("This function is masked for testing purposes.")
    
    @classmethod
    def StoF(cls, smiles, fn):
        # MASKED: Converts SMILES molecular representations to 4096-bit Avalon fingerprints for neural network input processing
        raise NotImplementedError("This function is masked for testing purposes.")

    def __init__(self, CHT_smiles, EP_smiles):
        # MASKED: Implements the core neural network prediction algorithm for HOBO-LUBO energy gap calculation using pre-trained models and Avalon fingerprints
        raise NotImplementedError("This function is masked for testing purposes.")

if __name__ =='__main__' :
    root = tk.Tk()
    window = Window1(master=root)
    window.mainloop()

Complete the function implementation replacing "raise NotImplementedError".