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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 create_tasks(self, wfk_file, scr_input):
 """ Create the SCR tasks and register them in self. Args: wfk_file: Path to the ABINIT WFK file to use for the computation of the screening. scr_input: Input for the screening calculation. """

        assert len(self) == 0
        wfk_file = self.wfk_file = os.path.abspath(wfk_file)

        # Build a temporary work in the tmpdir that will use a shell manager
        # to run ABINIT in order to get the list of q-points for the screening.
        shell_manager = self.manager.to_shell_manager(mpi_procs=1)

        w = Work(workdir=self.tmpdir.path_join("_qptdm_run"), manager=shell_manager)

        fake_input = scr_input.deepcopy()
        fake_task = w.register(fake_input)
        w.allocate()
        w.build()

        # Create the symbolic link and add the magic value
        # nqpdm = -1 to the input to get the list of q-points.
        fake_task.inlink_file(wfk_file)
        fake_task.set_vars({"nqptdm": -1})
        fake_task.start_and_wait()

        # Parse the section with the q-points
        with NetcdfReader(fake_task.outdir.has_abiext("qptdms.nc")) as reader:
            qpoints = reader.read_value("reduced_coordinates_of_kpoints")
        #print("qpoints)

        # Now we can register the task for the different q-points
        for qpoint in qpoints:
            qptdm_input = scr_input.deepcopy()
            qptdm_input.set_vars(nqptdm=1, qptdm=qpoint)
            new_task = self.register_scr_task(qptdm_input, manager=self.manager)
            # Add the garbage collector.
            if self.flow.gc is not None:
                new_task.set_gc(self.flow.gc)

        self.allocate()