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auxiliary.py
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auxiliary.py
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import os
from pathlib import Path
from copy import deepcopy
import numpy as np
import pandas as pd
import pandapower.toolbox
from pandapower.pd2ppc import _pd2ppc
from pandapower.pf.ppci_variables import _get_pf_variables_from_ppci
from pandapower.pf.run_newton_raphson_pf import _get_numba_functions, _get_Y_bus
from pandapower.run import _passed_runpp_parameters
from pandapower.auxiliary import _init_runpp_options, _add_dcline_gens
import pandapower as pp
import uuid
try:
import pandaplan.core.pplog as logging
except ImportError:
import logging
logger = logging.getLogger(__name__)
home = str(Path.home())
desktop = os.path.join(home, "Desktop")
def _runpp_except_voltage_angles(net, **kwargs):
if "calculate_voltage_angles" not in kwargs or not kwargs["calculate_voltage_angles"]:
pp.runpp(net, **kwargs)
else:
try:
pp.runpp(net, **kwargs)
except pp.LoadflowNotConverged:
kwargs1 = deepcopy(kwargs)
kwargs1["calculate_voltage_angles"] = False
pp.runpp(net, **kwargs1)
logger.warning("In grid equivalent generation, the power flow did converge only without"
" calculate_voltage_angles.")
return net
def add_ext_grids_to_boundaries(net, boundary_buses, adapt_va_degree=False,
runpp_fct=_runpp_except_voltage_angles,
calc_volt_angles=True, allow_net_change_for_convergence=False,
**kwargs):
"""
adds ext_grids for the given network. If the bus results are
available, ext_grids are created according to the given bus results;
otherwise, ext_grids are created with vm_pu=1 and va_degreee=0
"""
orig_slack_gens = net.gen.index[net.gen.slack]
buses_to_add_ext_grids = set(boundary_buses) - set(net.ext_grid.bus[net.ext_grid.in_service]) \
- set(net.gen.bus[net.gen.in_service & net.gen.slack])
res_buses = set(
net.res_bus.index[~net.res_bus[["vm_pu", "va_degree"]].isnull().any(axis=1)])
btaegwr = list(buses_to_add_ext_grids & res_buses)
add_eg = []
vms = pd.Series(np.ones(len(buses_to_add_ext_grids)),
index=buses_to_add_ext_grids)
vas = pd.Series(np.zeros(len(buses_to_add_ext_grids)),
index=buses_to_add_ext_grids)
vms.loc[btaegwr] = net.res_bus.vm_pu.loc[btaegwr]
vms.loc[pd.Index(net.gen.bus.loc[net.gen.in_service]).intersection(vms.index)] = \
net.gen.vm_pu.loc[net.gen.in_service & net.gen.bus.isin(vms.index) &
~net.gen.bus.duplicated()].values # avoid
# different vm_pu setpoints at same buses
vas.loc[btaegwr] = net.res_bus.va_degree.loc[btaegwr]
for ext_bus, vm, va in zip(buses_to_add_ext_grids, vms, vas):
add_eg += [pp.create_ext_grid(net, ext_bus,
vm, va, name="assist_ext_grid")]
new_bus = pp.create_bus(net, net.bus.vn_kv[ext_bus], name="assist_bus")
pp.create_impedance(net, ext_bus, new_bus, 1e6, 1e6, net.sn_mva,
name="assist_impedance")
# works fine if there is only one slack in net:
if adapt_va_degree and net.gen.slack.any() and net.ext_grid.shape[0]:
slack_buses = net.gen.bus.loc[net.gen.slack]
net.gen.slack = False
try:
runpp_fct(net, calculate_voltage_angles=calc_volt_angles,
max_iteration=100, **kwargs)
except pp.LoadflowNotConverged as e:
if allow_net_change_for_convergence:
# --- various fix trials
# --- trail 1 -> massive change of data (switch sign of impedances)
imp_neg = net.impedance.index[(net.impedance.xft_pu < 0)]
imp_neg = net.impedance[["xft_pu"]].loc[imp_neg].sort_values("xft_pu").index
for no, idx in enumerate(imp_neg):
net.impedance.loc[idx, ["rft_pu", "rtf_pu", "xft_pu", "xtf_pu"]] *= -1
try:
runpp_fct(net, calculate_voltage_angles=True, max_iteration=100, **kwargs)
logger.warning("The sign of these impedances were changed to enable a power"
f" flow: {imp_neg[:no]}")
break
except pp.LoadflowNotConverged as e:
pass
if not net.converged:
net.impedance.loc[imp_neg, ["rft_pu", "rtf_pu", "xft_pu", "xtf_pu"]] *= -1
# --- trail 2 -> increase impedance values to avoid close to zero values
changes = False
for col in ["xtf_pu", "xft_pu"]:
is2small = net.impedance[col].abs() < 5e-6
changes |= is2small.any()
sign = np.sign(net.impedance[col].values[is2small])
net.impedance[col].loc[is2small] = sign * 5e-6
if changes:
try:
runpp_fct(net, calculate_voltage_angles=calc_volt_angles,
max_iteration=100, **kwargs)
logger.warning("Reactances of these impedances has been increased to "
f"enable a power flow: {is2small}")
except pp.LoadflowNotConverged as e:
diag = pp.diagnostic(net)
print(net)
print(diag.keys())
pp.to_json(net, os.path.join(desktop, "diverged_net.json"))
raise pp.LoadflowNotConverged(e)
else:
diag = pp.diagnostic(net)
print(net)
print(diag.keys())
pp.to_json(net, os.path.join(desktop, "diverged_net.json"))
raise pp.LoadflowNotConverged(e)
else:
raise pp.LoadflowNotConverged(e)
va = net.res_bus.va_degree.loc[slack_buses]
va_ave = va.sum() / va.shape[0]
net.ext_grid.va_degree.loc[add_eg] -= va_ave
runpp_fct(net, calculate_voltage_angles=calc_volt_angles,
max_iteration=100, **kwargs)
return orig_slack_gens
def drop_internal_branch_elements(net, internal_buses, branch_elements=None):
"""
This function drops all branch elements which have 'internal_buses' connected at all sides of
the branch element (e.g. for lines at 'from_bus' and 'to_bus').
"""
bebd = pandapower.toolbox.branch_element_bus_dict()
if branch_elements is not None:
bebd = {elm: bus_types for elm,
bus_types in bebd.items() if elm in branch_elements}
for elm, bus_types in bebd.items():
n_elms = net[elm].shape[0]
if n_elms:
should_be_dropped = np.ones((n_elms, ), dtype=bool)
for bus_type in bus_types:
should_be_dropped &= net[elm][bus_type].isin(internal_buses)
idx_to_drop = net[elm].index[should_be_dropped]
if elm == "line":
pp.drop_lines(net, idx_to_drop)
elif "trafo" in elm:
pp.drop_trafos(net, idx_to_drop, table=elm)
else:
net[elm].drop(idx_to_drop, inplace=True)
def calc_zpbn_parameters(net, boundary_buses, all_external_buses, slack_as="gen",
existing_shift_degree=False):
"""
The function calculats the parameters for zero power balance network
OUTPUT:
**Z** - impedance between essential buses and new buses
**v** - voltage at new buses
"""
# runpp_fct(net, calculate_voltage_angles=True)
be_buses = boundary_buses + all_external_buses
if ((net.trafo.hv_bus.isin(be_buses)) & (net.trafo.shift_degree!=0)).any() \
or ((net.trafo3w.hv_bus.isin(be_buses)) & \
((net.trafo3w.shift_mv_degree!=0) | (net.trafo3w.shift_lv_degree!=0))).any():
existing_shift_degree = True
logger.info("Transformers with non-zero shift-degree are existed," +
" they could cause small inaccuracy.")
# creata dataframe to collect the current injections of the external area
nb_ext_buses = len(all_external_buses)
S = pd.DataFrame(np.zeros((nb_ext_buses, 15)), dtype=complex)
S.columns = ["ext_bus", "v_m", "v_cpx", "gen_integrated", "gen_separate",
"load_integrated", "load_separate", "sgen_integrated",
"sgen_separate", "sn_load_separate", "sn_load_integrated",
"sn_sgen_separate", "sn_sgen_integrated", "sn_gen_separate",
"sn_gen_integrated"]
k, ind = 0, 0
if slack_as == "gen":
elements = set([("load", "res_load", "load_separate", "sn_load_separate", -1),
("sgen", "res_sgen", "sgen_separate", "sn_sgen_separate", 1),
("gen", "res_gen", "gen_separate", "sn_gen_separate", 1),
("ext_grid", "res_ext_grid", "gen_separate", "sn_gen_separate", 1)])
elif slack_as == "load":
elements = set([("load", "res_load", "load_separate", "sn_load_separate", -1),
("sgen", "res_sgen", "sgen_separate", "sn_sgen_separate", 1),
("gen", "res_gen", "gen_separate", "sn_gen_separate", 1),
("ext_grid", "res_ext_grid", "load_separate", "sn_load_separate", 1)])
for i in all_external_buses:
for ele, res_ele, power, sn, sign in elements:
if i in net[ele].bus.values and net[ele].in_service[net[ele].bus == i].values.any():
ind = list(net[ele].index[net[ele].bus == i].values)
# act. values --> ref. values:
S[power][k] += sum(net[res_ele].p_mw[ind].values * sign) / net.sn_mva + \
1j * sum(net[res_ele].q_mvar[ind].values *
sign) / net.sn_mva
S[sn][k] = sum(net[ele].sn_mva[ind].values) + \
1j * 0 if ele != "ext_grid" else 1e6 + 1j * 0
S[power.replace('_separate', '_integrated')] += S[power][k]
S[sn.replace('_separate', '_integrated')] += S[sn][k]
S.ext_bus[k] = all_external_buses[k]
S.v_m[k] = net.res_bus.vm_pu[i]
S.v_cpx[k] = S.v_m[k] * \
np.exp(1j * net.res_bus.va_degree[i] * np.pi / 180)
k = k + 1
# create dataframe to calculate the impedance of the ZPBN-network
Y = pd.DataFrame(np.zeros((nb_ext_buses, 10)), dtype=complex)
Y.columns = ["ext_bus", "load_ground", "load_integrated_total", "load_separate_total",
"gen_ground", "gen_integrated_total", "gen_separate_total",
"sgen_ground", "sgen_integrated_total", "sgen_separate_total"]
v = pd.DataFrame(dtype=complex)
Y.ext_bus, v["ext_bus"] = all_external_buses, all_external_buses
for elm in ["load", "gen", "sgen"]:
if existing_shift_degree:
Y[elm+"_ground"] = (S[elm+"_separate"].values / S.v_cpx.values).conjugate() / \
S.v_cpx.values
else:
Y[elm+"_ground"] = S[elm+"_separate"].values.conjugate() / \
np.square(S.v_m)
I_elm_integrated_total = sum((S[elm+"_separate"].values /
S.v_cpx.values).conjugate())
if I_elm_integrated_total == 0:
Y[elm+"_integrated_total"] = float("nan")
else:
vm_elm_integrated_total = S[elm+"_integrated"][0] / \
I_elm_integrated_total.conjugate()
if existing_shift_degree:
Y[elm+"_integrated_total"] = (-S[elm+"_integrated"][0] / \
vm_elm_integrated_total).conjugate() / \
vm_elm_integrated_total
else:
Y[elm+"_integrated_total"] = -S[elm+"_integrated"][0].conjugate() / \
np.square(abs(vm_elm_integrated_total))
Y[elm+"_separate_total"] = -Y[elm+"_ground"]
if elm == "gen" and any(S.gen_separate):
v["gen_integrated_vm_total"] = abs(vm_elm_integrated_total)
v["gen_separate_vm_total"] = S.v_m
Z = -1 / Y
Z.ext_bus = all_external_buses
# determine original external bus limits
limits = pd.DataFrame([], index=range(nb_ext_buses), columns=[
"min_vm_pu", "max_vm_pu", "ext_bus"])
for limit in ["min_vm_pu", "max_vm_pu"]:
if limit in net.bus.columns:
limits[limit] = net.bus[limit].loc[all_external_buses].values
limits["ext_bus"] = all_external_buses
return Z, S, v, limits
def _ensure_unique_boundary_bus_names(net, boundary_buses):
""" This function ad a unique name to each bounary bus. The original
boundary bus names are retained.
"""
assert "name_equivalent" not in net.bus.columns.tolist()
net.bus["name_equivalent"] = "uuid"
net.bus.name_equivalent.loc[boundary_buses] = ["Boundary bus " + str(uuid.uuid1()) for _ in
boundary_buses]
def drop_assist_elms_by_creating_ext_net(net, elms=None):
"""
This function drops the assist elements by creating external nets.
"""
if elms is None:
elms = ["ext_grid", "bus", "impedance"]
for elm in elms:
target_elm_idx = net[elm].index[net[elm].name.astype(str).str.contains(
"assist_"+elm, na=False, regex=False)]
net[elm].drop(target_elm_idx, inplace=True)
if net["res_"+elm].shape[0]:
res_target_elm_idx = net["res_" +
elm].index.intersection(target_elm_idx)
net["res_"+elm].drop(res_target_elm_idx, inplace=True)
if "name_equivalent" in net.bus.columns.tolist():
net.bus.drop(columns=["name_equivalent"], inplace=True)
def build_ppc_and_Ybus(net):
""" This function build ppc and gets the Ybus of given network without
runing power flow calculation
"""
loc = locals()
loc['kwargs'] = {}
_init_runpp_options(net,
algorithm='nr',
calculate_voltage_angles="auto",
init="auto",
max_iteration="auto",
tolerance_mva=1e-8,
trafo_model="t",
trafo_loading="current",
enforce_q_lims=False,
check_connectivity=True,
voltage_depend_loads=True,
consider_line_temperature=False,
passed_parameters=_passed_runpp_parameters(loc))
ppc, ppci = _pd2ppc(net)
net["_ppc"] = ppc
makeYbus, pfsoln = _get_numba_functions(ppci, net["_options"])
baseMVA, bus, gen, branch, *_, V0, ref_gens = _get_pf_variables_from_ppci(ppci)
_, Ybus, _, _ = _get_Y_bus(ppci, net["_options"], makeYbus, baseMVA, bus, branch)
net._ppc["internal"]["Ybus"] = Ybus
def drop_measurements_and_controllers(net, buses, skip_controller=False):
"""This function drops the measurements of the given buses.
Also, the related controller parameters will be removed. """
# --- dropping measurements
if len(net.measurement):
pp.drop_measurements_at_elements(net, "bus", idx=buses)
lines = net.line.index[(net.line.from_bus.isin(buses)) &
(net.line.from_bus.isin(buses))]
pp.drop_measurements_at_elements(net, "line", idx=lines)
trafos = net.trafo3w.index[(net.trafo3w.hv_bus.isin(buses)) &
(net.trafo3w.mv_bus.isin(buses)) &
(net.trafo3w.lv_bus.isin(buses))]
pp.drop_measurements_at_elements(net, "trafo", idx=trafos)
trafo3ws = net.trafo3w.index[(net.trafo3w.hv_bus.isin(buses)) &
(net.trafo3w.mv_bus.isin(buses)) &
(net.trafo3w.lv_bus.isin(buses))]
pp.drop_measurements_at_elements(net, "trafo3w", idx=trafo3ws)
# --- dropping controller
pp.drop_controllers_at_buses(net, buses)
def match_controller_and_new_elements(net, net_org):
"""
This function makes the original controllers and the
new created sgen to match
test at present: controllers in the external area are removed.
"""
if len(net.controller):
tobe_removed = []
if "origin_all_internal_buses" in net.bus_lookups and \
"boundary_buses_inclusive_bswitch" in net.bus_lookups:
internal_buses = net.bus_lookups["origin_all_internal_buses"] + \
net.bus_lookups["boundary_buses_inclusive_bswitch"]
else:
internal_buses = []
for idx in net.controller.index.tolist():
et = net.controller.object[idx].__dict__.get("element")
# var = net.controller.object[idx].__dict__.get("variable")
elm_idxs = net.controller.object[idx].__dict__.get("element_index")
if et is None or elm_idxs is None:
continue
org_elm_buses = list(net_org[et].bus[elm_idxs].values)
new_elm_idxs = net[et].index[net[et].bus.isin(org_elm_buses)].tolist()
if len(new_elm_idxs) == 0:
tobe_removed.append(idx)
else:
profile_name = [org_elm_buses.index(a) for a in net[et].bus[new_elm_idxs].values]
net.controller.object[idx].__dict__["element_index"] = new_elm_idxs
net.controller.object[idx].__dict__["matching_params"]["element_index"] = new_elm_idxs
net.controller.object[idx].__dict__["profile_name"] = profile_name
net.controller.drop(tobe_removed, inplace=True)
# TODO: match the controllers in the external area
def ensure_origin_id(net, no_start=0, elms=None):
"""
Ensures completely filled column 'origin_id' in every pp element.
"""
if elms is None:
elms = pandapower.toolbox.pp_elements()
for elm in elms:
if "origin_id" not in net[elm].columns:
net[elm]["origin_id"] = pd.Series([None]*net[elm].shape[0], dtype=object)
idxs = net[elm].index[net[elm].origin_id.isnull()]
net[elm].origin_id.loc[idxs] = ["%s_%i_%s" % (elm, idx, str(uuid.uuid4())) for idx in idxs]
def drop_and_edit_cost_functions(net, buses, drop_cost, add_origin_id,
check_unique_elms_name=True):
"""
This function drops the ploy_cost/pwl_cost data
related to the given buses.
"""
for cost_elm in ["poly_cost", "pwl_cost"]:
if len(net[cost_elm]):
cost_backup = net[cost_elm].copy()
# drop poly_cost and pwl_cost
if drop_cost:
net[cost_elm]["bus"] = None
for elm in set(net[cost_elm].et.values):
idx = net[cost_elm].element.index[(net[cost_elm].et == elm) &
(net[cost_elm].element.isin(net[elm].index))]
net[cost_elm]["bus"].loc[idx] = net[elm].bus.loc[net[cost_elm].element.loc[
idx]].values
to_drop = net[cost_elm].index[net[cost_elm].bus.isin(buses) |
net[cost_elm].bus.isnull()]
net[cost_elm].drop(to_drop, inplace=True)
# add origin_id to cost df and corresponding elms
if add_origin_id:
ensure_origin_id(net, elms=set(net[cost_elm].et.values))
if "et_origin_id" not in net[cost_elm].columns:
net[cost_elm]["et_origin_id"] = None
net[cost_elm]["origin_idx"] = None
net[cost_elm]["origin_seq"] = None
for elm in set(net[cost_elm].et.values):
idx = net[cost_elm].index[net[cost_elm].et == elm]
net[cost_elm]["et_origin_id"].loc[idx] = net[elm].origin_id.loc[net[
cost_elm].element.loc[idx]].values
net[cost_elm]["origin_idx"].loc[idx] = idx
net[cost_elm]["origin_seq"].loc[idx] = [cost_backup.index.tolist().index(t) for t in idx]
def match_cost_functions_and_eq_net(net, boundary_buses, eq_type):
"""
This function makes the element indices in poly_cost/pwl_cost and the
new element indecies after merging to match.
"""
for cost_elm in ["poly_cost", "pwl_cost"]:
if len(net[cost_elm]):
if "ward" not in eq_type:
net[cost_elm].sort_values(by=["origin_seq"], inplace=True)
net[cost_elm].index = net[cost_elm]["origin_idx"].values
for pc in net[cost_elm].itertuples():
new_idx = net[pc.et].index[
net[pc.et].origin_id == pc.et_origin_id].values
net[cost_elm].element[pc.Index] = new_idx[0]
net[cost_elm].drop(columns=["bus", "et_origin_id", "origin_idx", "origin_seq"], inplace=True)
def _check_network(net):
"""
This function will perfoms some checks and modifications on the given grid model.
"""
# --- check invative elements
if net.res_bus.vm_pu.isnull().any():
logger.info("There are some inactive buses. It is suggested to remove "
"them using 'pandapower.drop_inactive_elements()' "
"before starting the grid equivalent calculation.")
# --- check dclines
if "dcline" in net and len(net.dcline.query("in_service")) > 0:
_add_dcline_gens(net)
dcline_index = net.dcline.index.values
net.dcline.loc[dcline_index, 'in_service'] = False
logger.info(f"replaced dcline {dcline_index} by gen elements")
# --- check controller names
if len(net.controller):
for i in net.controller.index:
et = net.controller.object[i].__dict__.get("element")
if et is not None and len(net[et]) != len(set(net[et].name.values)):
raise ValueError("if controllers are used, please give a name for every "
"element ("+et+"), and make sure the name is unique.")
def get_boundary_vp(net_eq, bus_lookups):
v_boundary = net_eq.ext_grid
p_boundary = net_eq.res_ext_grid.values + net_eq.res_bus[["p_mw", "q_mvar"]].loc[bus_lookups["bus_lookup_pd"]["b_area_buses"]].values
p_boundary = pd.DataFrame(p_boundary, index=bus_lookups["bus_lookup_pd"]["b_area_buses"],
columns=["p_mw", "q_mvar"])
return v_boundary, p_boundary
def adaptation_phase_shifter(net, v_boundary, p_boundary):
target_buses = list(v_boundary.bus.values)
phase_errors = v_boundary.va_degree.values - \
net.res_bus.va_degree[target_buses].values
vm_errors = v_boundary.vm_pu.values - \
net.res_bus.vm_pu[target_buses].values
# p_errors = p_boundary.p_mw.values - \
# net.res_bus.p_mw[target_buses].values
# q_errors = p_boundary.q_mvar.values - \
# net.res_bus.q_mvar[target_buses].values
# print(q_errors)
for idx, lb in enumerate(target_buses):
if abs(vm_errors[idx]) > 1e-6 and abs(vm_errors[idx]) > 1e-6:
hb = pp.create_bus(net, net.bus.vn_kv[lb]*(1-vm_errors[idx]),
name="phase_shifter_adapter_"+str(lb))
elm_dict = pp.get_connected_elements_dict(net, lb)
for e, e_list in elm_dict.items():
for i in e_list:
name = str(net[e].name[i])
if "eq_" not in name and "_integrated_" not in name and \
"_separate_" not in name:
if e in ["impedance", "line"]:
if net[e].from_bus[i] == lb:
net[e].from_bus[i] = hb
else:
net[e].to_bus[i] = hb
elif e == "trafo":
if net[e].hv_bus[i] == lb:
net[e].hv_bus[i] = hb
else:
net[e].lv_bus[i] = hb
elif e == "trafo3w":
if net[e].hv_bus[i] == lb:
net[e].hv_bus[i] == hb
elif net[e].mv_bus[i] == lb:
net[e].mv_bus[i] == hb
else:
net[e].lv_bus[i] == lb
elif e in ["bus", "load", "sgen", "gen", "shunt", "ward", "xward"]:
pass
else:
net[e].bus[i] = hb
pp.create_transformer_from_parameters(net, hb, lb, 1e5,
net.bus.vn_kv[hb]*(1-vm_errors[idx]),
net.bus.vn_kv[lb],
vkr_percent=0, vk_percent=100,
pfe_kw=.0, i0_percent=.0,
# shift_degree=-phase_errors[idx],
tap_step_degree=-phase_errors[idx],
# tap_phase_shifter=True,
name="phase_shifter_adapter_"+str(lb))
# pp.create_load(net, lb, -p_errors[idx], -q_errors[idx],
# name="phase_shifter_adapter_"+str(lb))
# runpp_fct(net, calculate_voltage_angles=True)
return net
def replace_motor_by_load(net, all_external_buses):
"""
replace the 'external' motors by loads. The name is modified.
e.g., "equivalent_MotorName_3" ("equivalent"+"orignial name"+"original index")
"""
motors = net.motor.index[net.motor.bus.isin(all_external_buses)]
for mi, m in net.motor.loc[motors].iterrows():
p_mech = m.pn_mech_mw / (m.efficiency_percent / 100)
p_mw = p_mech * m.loading_percent / 100 * m.scaling
s = p_mw / m.cos_phi
q_mvar = np.sqrt(s**2 - p_mw**2)
li = pp.create_load(net, m.bus, p_mw, q_mvar, sn_mva=s, scalling=m.scaling,
in_service=m.in_service, name="equivalent_"+str(m["name"])+"_"+str(mi))
p = p_mw if not np.isnan(net.res_bus.vm_pu[m.bus]) and m.in_service else 0.0
q = q_mvar if not np.isnan(net.res_bus.vm_pu[m.bus]) and m.in_service else 0.0
net.res_load.loc[li] = p, q
net.motor.drop(motors, inplace=True)
net.res_motor.drop(motors, inplace=True)
if __name__ == "__main__":
pass