def send_job_full_spectrum(params_filename,
                           lz_val_middle=None,
                           parameters_external=None):
    params = ParametersAnnulus(params_filename)

    filename_spectrum_eigenstates = FM.filename_spectrum_eigenstates(
        params.MminLaughlin, params.MmaxLaughlin, params.edge_states, params.N,
        params.lz_val, params.hamiltonian_labels, params.h_parameters)
    if EC.does_file_really_exist(filename_spectrum_eigenstates):
        print("file " + filename_spectrum_eigenstates + " already created")
        return 0

    queue = params.managing_job_queue
    mem, vmem = JS.get_mem_vmem_vals(queue, params.managing_job_mem,
                                     params.managing_job_vmem)
    args = [params_filename]
    if lz_val_middle:
        args = args + [lz_val_middle]
    if parameters_external:
        args = args + parameters_external
    # args = args + ['calc_full_spectrum']
    # calculates low lying spectrum
    args = args + ['spectrum_eigenstates_manager']
    jobname = 'full_spectrum_' + params.params_filename_no_path
    jobname = EC.make_job_name_short_again(jobname)
    JS.send_job(scriptNames.multiFile,
                pbs_filename=jobname,
                script_args=args,
                queue=queue,
                mem=mem,
                vmem=vmem)
    return 0
def calc_lz_total_for_spectrum(MminL,
                               MmaxL,
                               edge_states,
                               N,
                               lz_val,
                               hamiltonian_labels,
                               parameters,
                               params_filename,
                               run_on_cluster=1):
    filename_lz_spectrum = FM.filename_spectrum_lz_total_vals(
        MminL, MmaxL, edge_states, N, hamiltonian_labels, parameters)
    if EC.does_file_really_exist(filename_lz_spectrum):
        print("already created " + filename_lz_spectrum)
        return 0

    if lz_val != 'not_fixed':
        lz_val = int(float(lz_val))
    filename_spectrum = FM.filename_spectrum_eigenstates(
        MminL, MmaxL, edge_states, N, lz_val, hamiltonian_labels, parameters)
    if EC.does_file_really_exist(filename_spectrum):
        spectrum_eigenstates = FM.read_spectrum_eigenstates(
            MminL, MmaxL, edge_states, N, lz_val, hamiltonian_labels,
            parameters)
    else:
        if run_on_cluster:
            print("spectrum should have been written by now")
            return 0
        spectrum_eigenstates = get_low_lying_spectrum(
            MminL, MmaxL, edge_states, N, lz_val, hamiltonian_labels,
            parameters, params_filename, run_on_cluster)

    spectrum = np.array([a[0] for a in spectrum_eigenstates])
    lz_total_spectrum_vals = np.zeros(len(spectrum_eigenstates))
    lz_total_matrix = extract_complete_matrix(MminL, MmaxL, edge_states, N,
                                              lz_val, 'None',
                                              'total_angular_momentum',
                                              run_on_cluster)
    for i in range(len(spectrum_eigenstates)):
        state = spectrum_eigenstates[i][1]
        lz_total_spectrum_vals[i] = np.conjugate(
            state).transpose() @ lz_total_matrix @ state

    xlabel = 'Lz total'
    ylabel = 'Energy'
    title = 'low spectrum of system with\nN=' + str(N) + ' MminL=' + str(
        MminL) + ' MmaxL=' + str(MmaxL) + ' edge_states=' + str(
            edge_states
        ) + '\npotential_type=' + hamiltonian_labels[0] + '  ' + str(
            parameters[0]
        ) + '\nconfining potential=' + hamiltonian_labels[1] + '  ' + str(
            parameters[1]) + '\nFM_term=' + hamiltonian_labels[3] + "  " + str(
                parameters[3])
    graphData.write_graph_data_to_file(filename_lz_spectrum,
                                       lz_total_spectrum_vals, spectrum, title,
                                       None, xlabel, ylabel)

    return lz_total_spectrum_vals, spectrum
def calc_low_lying_spectrum_from_scratch(params_filename,
                                         magnetic_flux_index='None',
                                         send_jobs=True,
                                         wait=True):
    params = ParametersAnnulus(params_filename)
    if magnetic_flux_index != 'None':
        params.setHamiltonianLabels(magnetic_flux_index)
    create_basis_lists(params.params_full_filename)
    create_two_particle_hamiltonian(params_filename, magnetic_flux_index)

    all_matrices_filenames = AMAS.calc_hamiltonian_pieces(
        params.MminLaughlin, params.MmaxLaughlin, params.edge_states, params.N,
        params.lz_val, params.hamiltonian_labels, params_filename, send_jobs)

    if not wait and not EC.all_files_exist(all_matrices_filenames):
        print("not all matrices written yet, and I'm not a patient woman")
        return 0

    while not EC.all_files_exist(all_matrices_filenames):
        sleep(120)

    # actual calculation of low lying spectrum
    filename_spectrum = FM.filename_spectrum_eigenstates(
        params.MminLaughlin, params.MmaxLaughlin, params.edge_states, params.N,
        params.lz_val, params.hamiltonian_labels, params.h_parameters)
    if EC.does_file_really_exist(filename_spectrum):
        print("we did this spectrum calculation already")
        return filename_spectrum

    queue = params.spectrum_eigenstates_queue
    mem, vmem = JS.get_mem_vmem_vals(queue, params.spectrum_eigenstates_mem,
                                     params.spectrum_eigenstates_vmem)
    args = [params_filename, magnetic_flux_index]
    args = args + ['calc_spectrum_eigenstates_with_flux']
    # jobname = 'spectrum_eigenstates_' + params.params_filename_no_path
    jobname = 'spectrum_eigenstates_magnetic_flux_index=' + str(
        magnetic_flux_index)
    jobname = EC.make_job_name_short_again(jobname)
    JS.send_job(scriptNames.multiFile,
                pbs_filename=jobname,
                script_args=args,
                queue=queue,
                mem=mem,
                vmem=vmem,
                ppn=params.ppn)

    return filename_spectrum
def get_low_lying_spectrum(MminL,
                           MmaxL,
                           edge_states,
                           N,
                           lz_val,
                           hamiltonian_labels,
                           parameters,
                           params_filename,
                           run_on_cluster=1):
    params = ParametersAnnulus(params_filename)
    if lz_val != 'not_fixed':
        lz_val = int(float(lz_val))
    filename_spectrum = FM.filename_spectrum_eigenstates(
        MminL, MmaxL, edge_states, N, lz_val, hamiltonian_labels, parameters)
    if EC.does_file_really_exist(filename_spectrum):
        spectrum = FM.read_spectrum_eigenstates(MminL, MmaxL, edge_states, N,
                                                lz_val, hamiltonian_labels,
                                                parameters)
        size_hilbert_space = GA.size_of_hilbert_space(MminL - edge_states,
                                                      MmaxL + edge_states, N,
                                                      lz_val)
        if len(
                spectrum
        ) >= params.num_of_eigstates or size_hilbert_space <= params.num_of_eigstates:
            return spectrum

    hamiltonian = extract_Hamiltonian(MminL, MmaxL, edge_states, N, lz_val,
                                      hamiltonian_labels, parameters,
                                      run_on_cluster)
    spectrum = calc_eigenVals_Vecs(hamiltonian, params.num_of_eigstates)
    if params.eigenstates_cutoff:
        print("eigenstates_cutoff")
        eig_spectrum_new1 = spectrum[:params.eigenstates_cutoff]

        eig_spectrum_new2 = [
            (spectrum[i][0], [])
            for i in range(params.eigenstates_cutoff, len(spectrum))
        ]
        spectrum = eig_spectrum_new1 + eig_spectrum_new2
    FM.write_spectrum_eigenstates(MminL, MmaxL, edge_states, N, lz_val,
                                  hamiltonian_labels, parameters, spectrum)
    return spectrum
def calc_luttinger_spectrum_big(params_filename, send_jobs=True, wait=False):
    params = ParametersAnnulus(params_filename)
    window_of_lz = 'all'

    filename_luttinger_spectrum = FM.filename_spectrum_luttinger_parm(
        params.MminLaughlin, params.MmaxLaughlin, params.edge_states, params.N,
        window_of_lz, params.hamiltonian_labels, params.h_parameters)
    if EC.does_file_really_exist(filename_luttinger_spectrum):
        print("full lut spectrum created already!")
        full_spectrum = graphData.plot_spectrum_graph_data_from_file(
            filename_luttinger_spectrum)
        return full_spectrum

    queue = params.spectrum_job_manager_queue
    mem, vmem = JS.get_mem_vmem_vals(queue, params.spectrum_job_manager_mem,
                                     params.spectrum_job_manager_vmem)
    Mmin = params.MminLaughlin - params.edge_states
    Mmax = params.MmaxLaughlin + params.edge_states

    first_arc_lz = np.array([params.lz_laughlin + i for i in range(params.N)])
    umbrella_lz = np.array([
        params.lz_laughlin - params.N * params.edge_states + params.N * i
        for i in range(2 * params.edge_states + 1)
    ])

    lz_vals_to_add_spectrum = np.concatenate((first_arc_lz, umbrella_lz))

    all_file_names = []
    for lz in lz_vals_to_add_spectrum:
        lz = int(lz)
        filename_lz_spectrum = FM.filename_spectrum_eigenstates(
            params.MminLaughlin, params.MmaxLaughlin, params.edge_states,
            params.N, lz, params.hamiltonian_labels, params.h_parameters)
        if EC.does_file_really_exist(filename_lz_spectrum):
            spectrum = FM.read_spectrum_eigenstates(
                params.MminLaughlin, params.MmaxLaughlin, params.edge_states,
                params.N, lz, params.hamiltonian_labels, params.h_parameters)
            size_hilbert_space = GA.size_of_hilbert_space(
                Mmin, Mmax, params.N, lz)
            if len(
                    spectrum
            ) >= params.num_of_eigstates or size_hilbert_space <= params.num_of_eigstates:
                # print("we did this lz spectrum calculation already!")
                a = "do nothing"
            else:
                if send_jobs:
                    sleep(2)
                    print("finding the spectrum")
                    args = [params_filename, lz]
                    args = args + ['spectrum_eigenstates_manager']
                    # job_name = 'spectrum_job_manager_' + params.params_filename_no_path
                    job_name = 'lut_spectrum_N=' + str(
                        params.N) + '_MminL=' + str(
                            params.MminLaughlin) + '_edges=' + str(
                                params.edge_states) + '_lz=' + str(lz)
                    job_name = EC.make_job_name_short_again(job_name)
                    JS.send_job(scriptNames.multiFile,
                                pbs_filename=job_name,
                                script_args=args,
                                queue=queue,
                                mem=mem,
                                vmem=vmem)

                all_file_names.append(filename_lz_spectrum)

        else:
            if send_jobs:
                sleep(2)
                print("finding the spectrum")
                args = [params_filename, lz]
                args = args + ['spectrum_eigenstates_manager']
                # job_name = 'spectrum_job_manager_' + params.params_filename_no_path
                job_name = 'lut_spectrum_N=' + str(params.N) + '_MminL=' + str(
                    params.MminLaughlin) + '_edges=' + str(
                        params.edge_states) + '_lz=' + str(lz)
                job_name = EC.make_job_name_short_again(job_name)
                JS.send_job(scriptNames.multiFile,
                            pbs_filename=job_name,
                            script_args=args,
                            queue=queue,
                            mem=mem,
                            vmem=vmem)

            all_file_names.append(filename_lz_spectrum)

    while not EC.all_files_exist(all_file_names):
        if not wait:
            print("not done creating spectrum! still must create " +
                  str(len(all_file_names)) + " out of " +
                  str(len(lz_vals_to_add_spectrum)))
            return
        sleep(100)

    lut_spectrum = {}
    for lz in lz_vals_to_add_spectrum:
        lz = int(lz)
        spec_states = FM.read_spectrum_eigenstates(
            params.MminLaughlin, params.MmaxLaughlin, params.edge_states,
            params.N, lz, params.hamiltonian_labels, params.h_parameters)
        spectrum = np.array(
            [spec_states[i][0] for i in range(len(spec_states))])
        print("***************")
        print(spectrum)
        lut_spectrum[lz] = spectrum

    title = 'Luttinger spectrum of system with N=' + str(
        params.N) + ' MminL=' + str(params.MminLaughlin) + ' MmaxL=' + str(
            params.MmaxLaughlin) + '\nham_lbls: ' + ' '.join(
                params.hamiltonian_labels) + '\nLz laughlin at ' + str(
                    params.lz_laughlin)
    xlabel = 'Lz total'
    ylabel = 'Energy'
    graphData.write_spectrum_data_to_file(filename_luttinger_spectrum,
                                          lut_spectrum, title, xlabel, ylabel)

    return lut_spectrum
def calc_full_spectrum_magnetic_flux_range(params_filename,
                                           wait=True,
                                           send_jobs=True,
                                           batch_size=None):
    params = ParametersAnnulus(params_filename)
    flux_range_size = len(params.flux_range)

    params.setHamiltonianLabels()
    filename_spectrum_vs_flux_range = FM.filename_spectrum_vs_magnetic_flux(
        params.MminLaughlin, params.MmaxLaughlin, params.edge_states, params.N,
        params.hamiltonian_labels, params.h_parameters)
    if EC.does_file_really_exist(filename_spectrum_vs_flux_range):
        spectrum = graphData.plot_spectrum_graph_data_from_file(
            filename_spectrum_vs_flux_range)
        print("file created!")

        return spectrum

    all_filename_to_create = []
    if batch_size:
        min_index = 0
        max_index = 0
        count = 0
    for index in range(flux_range_size):
        params.setHamiltonianLabels(index)
        filename_spectrum_flux = FM.filename_spectrum_eigenstates(
            params.MminLaughlin, params.MmaxLaughlin, params.edge_states,
            params.N, params.lz_val, params.hamiltonian_labels,
            params.h_parameters)
        # print(filename_spectrum_flux)
        if EC.does_file_really_exist(filename_spectrum_flux):
            # print("we did this calculation already")
            a = 1
        else:
            if send_jobs:
                if not batch_size:
                    sleep(2)
                    print("finding the spectrum for flux index=" + str(index))
                    args = [params_filename, index]
                    args = args + ['spectrum_eigenstates_manager']
                    job_name = 'spectrum_job_manager_' + "magnetic_flux_index=" + str(
                        index) + "_FM_parameter=" + str(params.FM_parameter)
                    job_name = EC.make_job_name_short_again(job_name)
                    queue = params.spectrum_job_manager_queue
                    mem, vmem = JS.get_mem_vmem_vals(
                        queue, params.spectrum_job_manager_mem,
                        params.spectrum_job_manager_vmem)
                    JS.send_job(scriptNames.multiFile,
                                pbs_filename=job_name,
                                script_args=args,
                                queue=queue,
                                mem=mem,
                                vmem=vmem,
                                ppn=params.ppn)
                else:
                    count = count + 1
                    max_index = index
                    if count == 1:
                        min_index = index
                        if index == (flux_range_size - 1):
                            # max_index = index
                            sleep(2)
                            print("sending a batch with FM=" +
                                  str(params.FM_parameter) +
                                  " and max_index=" + str(max_index))
                            args = [params_filename, min_index, max_index]
                            args = args + ['spectrum_eigenstates_batch']
                            job_name = 'flux_spectrum_batch_' + "min_flux_index=" + str(
                                min_index) + "_FM_parameter=" + str(
                                    params.FM_parameter)
                            job_name = EC.make_job_name_short_again(job_name)
                            queue = params.spectrum_job_manager_queue
                            mem, vmem = JS.get_mem_vmem_vals(
                                queue, params.spectrum_job_manager_mem,
                                params.spectrum_job_manager_vmem)
                            JS.send_job(scriptNames.multiFile,
                                        pbs_filename=job_name,
                                        script_args=args,
                                        queue=queue,
                                        mem=mem,
                                        vmem=vmem)
                    elif count == batch_size or index == (flux_range_size - 1):
                        # max_index = index
                        sleep(2)
                        print("sending a batch with FM=" +
                              str(params.FM_parameter) + " and max_index=" +
                              str(max_index))
                        args = [params_filename, min_index, max_index]
                        args = args + ['spectrum_eigenstates_batch']
                        job_name = 'flux_spectrum_batch_' + "min_flux_index=" + str(
                            min_index) + "_FM_parameter=" + str(
                                params.FM_parameter)
                        job_name = EC.make_job_name_short_again(job_name)
                        queue = params.spectrum_job_manager_queue
                        mem, vmem = JS.get_mem_vmem_vals(
                            queue, params.spectrum_job_manager_mem,
                            params.spectrum_job_manager_vmem)
                        JS.send_job(scriptNames.multiFile,
                                    pbs_filename=job_name,
                                    script_args=args,
                                    queue=queue,
                                    mem=mem,
                                    vmem=vmem)
                        count = 0

            all_filename_to_create.append(filename_spectrum_flux)
    if batch_size and count > 0:
        sleep(2)
        print("sending a batch with FM=" + str(params.FM_parameter) +
              " and max_index=" + str(max_index))
        args = [params_filename, min_index, max_index]
        args = args + ['spectrum_eigenstates_batch']
        job_name = 'flux_spectrum_batch_' + "min_flux_index=" + str(
            min_index) + "_FM_parameter=" + str(params.FM_parameter)
        job_name = EC.make_job_name_short_again(job_name)
        queue = params.spectrum_job_manager_queue
        mem, vmem = JS.get_mem_vmem_vals(queue,
                                         params.spectrum_job_manager_mem,
                                         params.spectrum_job_manager_vmem)
        JS.send_job(scriptNames.multiFile,
                    pbs_filename=job_name,
                    script_args=args,
                    queue=queue,
                    mem=mem,
                    vmem=vmem)

    while not EC.all_files_exist(all_filename_to_create):
        if not wait:
            print("still must create #" + str(len(all_filename_to_create)) +
                  " files")
            return
        sleep(100)

    full_spectrum = {}

    print("writing spectrum into file " + filename_spectrum_vs_flux_range)
    for index in range(flux_range_size):
        # print(index)
        # print(params.potential_type)
        params.setHamiltonianLabels(index)
        # print(params.hamiltonian_labels)
        spec_states = FM.read_spectrum_eigenstates(params.MminLaughlin,
                                                   params.MmaxLaughlin,
                                                   params.edge_states,
                                                   params.N, params.lz_val,
                                                   params.hamiltonian_labels,
                                                   params.h_parameters)
        spectrum = np.array(
            [spec_states[i][0] for i in range(len(spec_states))])
        # print("***************")
        # print(spectrum)
        full_spectrum[params.flux_range[index]] = spectrum

    title = 'spectrum vs. magnetic flux of system with N=' + str(
        params.N) + ' MminL=' + str(params.MminLaughlin) + ' MmaxL=' + str(
            params.MmaxLaughlin) + '\nham_lbls: ' + ' '.join(
                params.hamiltonian_labels) + '\nLz laughlin at ' + str(
                    params.lz_laughlin)
    xlabel = 'Magnetic flux'
    ylabel = 'Energy'

    graphData.write_spectrum_data_to_file(filename_spectrum_vs_flux_range,
                                          full_spectrum, title, xlabel, ylabel)

    return full_spectrum
def calc_full_low_lying_spectrum(params_filename,
                                 send_jobs=True,
                                 wait=False,
                                 lz_val_middle=None,
                                 parameters_external=None,
                                 window_of_lz='all'):
    params = ParametersAnnulus(params_filename)
    if not lz_val_middle:
        lz_val = params.lz_laughlin
    else:
        lz_val = lz_val_middle
    if parameters_external:
        parameters = parameters_external
    else:
        parameters = params.h_parameters

    filename_full_spectrum = FM.filename_full_spectrum(
        params.MminLaughlin, params.MmaxLaughlin, params.edge_states, params.N,
        window_of_lz, params.hamiltonian_labels, parameters)
    if EC.does_file_really_exist(filename_full_spectrum):
        full_spectrum = graphData.plot_spectrum_graph_data_from_file(
            filename_full_spectrum)
        return full_spectrum

    queue = params.spectrum_job_manager_queue
    mem, vmem = JS.get_mem_vmem_vals(queue, params.spectrum_job_manager_mem,
                                     params.spectrum_job_manager_vmem)
    Mmin = params.MminLaughlin - params.edge_states
    Mmax = params.MmaxLaughlin + params.edge_states

    lz_total_vals = LCA.find_all_lz_total_values(Mmin, Mmax, params.N)
    if window_of_lz == 'all':
        lz_min = lz_total_vals[0]
        lz_max = lz_total_vals[-1]

    else:
        lz_min = max(lz_val - window_of_lz, lz_total_vals[0])
        lz_max = min(lz_val + window_of_lz, lz_total_vals[-1])

    all_file_names = []
    for lz in range(lz_min, lz_max + 1):
        filename_lz_spectrum = FM.filename_spectrum_eigenstates(
            params.MminLaughlin, params.MmaxLaughlin, params.edge_states,
            params.N, lz, params.hamiltonian_labels, parameters)
        if EC.does_file_really_exist(filename_lz_spectrum):
            spectrum = FM.read_spectrum_eigenstates(
                params.MminLaughlin, params.MmaxLaughlin, params.edge_states,
                params.N, lz, params.hamiltonian_labels, parameters)
            size_hilbert_space = GA.size_of_hilbert_space(
                Mmin, Mmax, params.N, lz_val)
            if len(
                    spectrum
            ) >= params.num_of_eigstates or size_hilbert_space <= params.num_of_eigstates:
                print("we did this lz spectrum calculation already!")
            else:
                if send_jobs:
                    sleep(2)
                    print("finding the spectrum")
                    args = [params_filename, lz]
                    if parameters_external:
                        args = args + parameters_external
                    args = args + ['spectrum_eigenstates_manager']
                    # job_name = 'spectrum_job_manager_' + params.params_filename_no_path
                    job_name = 'full_spectrum_N=' + str(
                        params.N) + '_MminL=' + str(
                            params.MminLaughlin) + '_MmaxL=' + str(
                                params.MmaxLaughlin) + '_edges=' + str(
                                    params.edge_states)
                    job_name = EC.make_job_name_short_again(job_name)
                    JS.send_job(scriptNames.multiFile,
                                pbs_filename=job_name,
                                script_args=args,
                                queue=queue,
                                mem=mem,
                                vmem=vmem)

                all_file_names.append(filename_lz_spectrum)

        else:
            if send_jobs:
                sleep(2)
                print("finding the spectrum")
                args = [params_filename, lz]
                if parameters_external:
                    args = args + parameters_external
                args = args + ['spectrum_eigenstates_manager']
                # job_name = 'spectrum_job_manager_' + params.params_filename_no_path
                job_name = 'full_spectrum_N=' + str(
                    params.N) + '_MminL=' + str(
                        params.MminLaughlin) + '_MmaxL=' + str(
                            params.MmaxLaughlin) + '_edges=' + str(
                                params.edge_states)
                job_name = EC.make_job_name_short_again(job_name)
                JS.send_job(scriptNames.multiFile,
                            pbs_filename=job_name,
                            script_args=args,
                            queue=queue,
                            mem=mem,
                            vmem=vmem)

            all_file_names.append(filename_lz_spectrum)

    while not EC.all_files_exist(all_file_names):
        if not wait:
            print("not done creating spectrum!")
            return
        sleep(100)

    full_spectrum = {}
    print(range(lz_min, lz_max + 1))
    for lz in range(lz_min, lz_max + 1):
        spec_states = FM.read_spectrum_eigenstates(
            params.MminLaughlin, params.MmaxLaughlin, params.edge_states,
            params.N, lz, params.hamiltonian_labels, parameters)
        spectrum = np.array(
            [spec_states[i][0] for i in range(len(spec_states))])
        print("***************")
        print(spectrum)
        full_spectrum[lz] = spectrum

    title = 'low lying spectrum of system with N=' + str(
        params.N) + ' MminL=' + str(params.MminLaughlin) + ' MmaxL=' + str(
            params.MmaxLaughlin) + '\nham_lbls: ' + ' '.join(
                params.hamiltonian_labels) + '\nLz laughlin at ' + str(
                    params.lz_laughlin)
    xlabel = 'Lz total'
    ylabel = 'Energy'
    graphData.write_spectrum_data_to_file(filename_full_spectrum,
                                          full_spectrum, title, xlabel, ylabel)

    return full_spectrum