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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def read_molden(inputfile, start_index=0, get_bonds=True):
 """Read a molden file. Args: inputfile (str):
 start_index (int):
 Returns: list: A list containing :class:`~chemcoord.Cartesian` is returned. """

    from chemcoord.cartesian_coordinates.cartesian_class_main import Cartesian
    with open(inputfile, 'r') as f:
        found = False
        while not found:
            line = f.readline()
            if '[N_GEO]' in line:
                found = True
                number_of_molecules = int(f.readline().strip())

        energies = []
        found = False
        while not found:
            line = f.readline()
            if 'energy' in line:
                found = True
                for _ in range(number_of_molecules):
                    energies.append(float(f.readline().strip()))

        found = False
        while not found:
            line = f.readline()
            if '[GEOMETRIES] (XYZ)' in line:
                found = True
                current_line = f.tell()
                number_of_atoms = int(f.readline().strip())
                f.seek(current_line)

        cartesians = []
        for energy in energies:
            cartesian = Cartesian.read_xyz(
                f, start_index=start_index, get_bonds=get_bonds,
                nrows=number_of_atoms, engine='python')
            cartesian.metadata['energy'] = energy
            cartesians.append(cartesian)
    return cartesians