def layout(nbr_channels_seed, peak_powers_seed, center_lambdas_seed,
nbr_channels_pump, peak_powers_pump, center_lambdas_pump,
REFL_SEED, REFL_PUMP, NOISE):
nbr_ch_seed = nbr_channels_seed // 2
gssn = Gaussian(channels=nbr_ch_seed,
peak_power=peak_powers_seed[:nbr_ch_seed],
center_lambda=center_lambdas_seed[:nbr_ch_seed])
gssn_ = Gaussian(channels=(nbr_channels_seed - nbr_ch_seed),
peak_power=peak_powers_seed[nbr_ch_seed:],
center_lambda=center_lambdas_seed[nbr_ch_seed:])
nbr_ch_pump = nbr_channels_pump // 2
pump = CW(channels=nbr_ch_pump,
peak_power=peak_powers_pump[:nbr_ch_pump],
center_lambda=center_lambdas_pump[:nbr_ch_pump])
pump_ = CW(channels=(nbr_channels_pump - nbr_ch_pump),
peak_power=peak_powers_pump[nbr_ch_pump:],
center_lambda=center_lambdas_pump[nbr_ch_pump:])
fiber = FiberYb(length=0.01,
steps=10,
REFL_SEED=REFL_SEED,
REFL_PUMP=REFL_PUMP,
BISEED=True,
BIPUMP=True,
save_all=True,
alpha=[0.05],
max_nbr_iter=2,
NOISE=NOISE)
lt = Layout(Domain(samples_per_bit=64, noise_samples=10))
lt.add_unidir_links((gssn[0], fiber[0]), (pump[0], fiber[2]),
(gssn_[0], fiber[1]), (pump_[0], fiber[3]))
lt.run_all()
return fiber.storages[0]
def test_load_field():
"""Should fail if the saved fields are not the same as the loaded
fields.
"""
lt = Layout()
gssn_1 = Gaussian(channels=1, width=[5.0])
field_saver_1 = SaveField()
gssn_2 = Gaussian(channels=1, width=[10.0])
field_saver_2 = SaveField()
lt.add_links((gssn_1[0], field_saver_1[0]), (gssn_2[0], field_saver_2[0]))
lt.run(gssn_1, gssn_2)
fields = field_saver_1.fields + field_saver_2.fields
lt_ = Layout()
load_field = LoadField(fields=fields)
lt.run(load_field)
fields = load_field[0].fields
assert (fields[0] == gssn_1[0].fields[0])
assert (fields[1] == gssn_2[0].fields[0])
assert_array_equal(fields[0].channels, gssn_1[0].fields[0].channels)
assert_array_equal(fields[1].channels, gssn_2[0].fields[0].channels)
assert_array_equal(fields[0].noise, gssn_1[0].fields[0].noise)
assert_array_equal(fields[1].noise, gssn_2[0].fields[0].noise)
assert_array_equal(fields[0].delays, gssn_1[0].fields[0].delays)
assert_array_equal(fields[1].delays, gssn_2[0].fields[0].delays)
def test_output_combiner_no_combine(nbr_channels, ratios):
"""Should fail if the output temporal power division does not correpsond to
the dividing ratios.
"""
# Environment creation
gssns = []
nbr_arms = len(ratios)
base_power = 10.0
for i in range(nbr_arms):
gssns.append(
Gaussian(channels=nbr_channels,
save=True,
peak_power=[(i + 1) * base_power
for i in range(nbr_channels)]))
combiner = IdealCombiner(arms=nbr_arms,
ratios=ratios,
save=True,
combine=False)
lt = Layout()
for i in range(nbr_arms):
lt.add_link(gssns[i][0], combiner[i])
lt.run_all()
# Testing
init_fields = []
for i in range(0, nbr_arms):
init_fields.extend(gssns[i][0].fields)
output_fields = combiner[nbr_arms].fields
assert len(output_fields) == nbr_arms
assert len(output_fields) == len(init_fields)
for i in range(len(output_fields)):
for j in range(len(output_fields[i])):
# Taking into account rounding errors
power_1 = ratios[i] * temporal_power(init_fields[i][j])
power_2 = temporal_power(output_fields[i][j])
assert_array_almost_equal(power_1, power_2, 10)
def test_constraint_port_valid():
r"""Should fail if the propagating field can enter the dummy_comp.
Notes
-----
Test case::
Gaussian_1 ______ Combiner
"""
# Environment creations
class DummyPassComp(AbstractPassComp):
def __init__(self):
super().__init__('', '', [cst.ELEC_IN, cst.ELEC_OUT], True)
def __call__(self, domain, ports, fields):
return ([1 for i in range(len(fields))], fields)
lt = Layout()
gssn = Gaussian()
dummy = DummyPassComp()
lt.add_link(gssn[0], dummy[0])
lt.run(gssn)
# Testing
pytest.warns(PortValidWarning, lt.run, gssn)
def test_output_divider(nbr_channels, ratios):
"""Should fail if the output temporal power division does not correpsond to
the dividing ratios.
"""
# Environment creation
base_power = 10.0
gssn = Gaussian(channels=nbr_channels,
save=True,
peak_power=[(i + 1) * base_power
for i in range(nbr_channels)])
nbr_arms = len(ratios)
divider = IdealDivider(arms=nbr_arms, ratios=ratios, save=True)
lt = Layout()
lt.add_link(gssn[0], divider[0])
lt.run_all()
# Testing
init_power = temporal_power(gssn[0][0].channels)
for i in range(nbr_arms):
assert len(divider[i + 1]) == 1
arm_power = temporal_power(divider[i + 1][0].channels)
assert len(arm_power) == len(init_power)
for j in range(len(arm_power)):
# Taking into account rounding errors
assert_array_almost_equal((ratios[i] * init_power[j]),
arm_power[j], 10)
def test_constraint_coprop():
r"""Should fail if the copropagating fields are not waiting for each
others.
Notes
-----
Test case::
[0] _________
[1] __________\
[2] ___________\__ Combiner ___ Dummy Comp __ check output
[3] ___________/
...
[n-1] _________/
"""
lt = Layout()
nbr_sig = 5
combiner = IdealCombiner(arms=nbr_sig, combine=False)
for i in range(nbr_sig):
lt.add_link(Gaussian()[0], combiner[i])
dummy_comp = IdealAmplifier(save=True)
lt.add_link(combiner[nbr_sig], dummy_comp[0])
lt.run_all()
assert (len(dummy_comp[1]) == nbr_sig)
def layout(split_noise_option, channels, peak_powers, center_lambdas):
gssn = Gaussian(channels=channels,
peak_power=peak_powers,
center_lambda=center_lambdas,
save=True)
pump = CW(channels=3, peak_power=[0.01], center_lambda=[976.])
fiber = FiberYb(length=0.01,
split_noise_option=split_noise_option,
steps=10,
REFL_SEED=True,
REFL_PUMP=True,
BISEED=False,
BIPUMP=False,
save=True,
PROP_REFL=True,
PROP_PUMP=True,
alpha=[0.05],
max_nbr_iter=2,
NOISE=True)
lt = Layout(Domain(samples_per_bit=64, noise_samples=10))
lt.add_unidir_links((gssn[0], fiber[0]), (pump[0], fiber[2]))
lt.run_all()
noise_power_input = fiber[0].fields[0].noise
noise_power_seed = fiber[1].fields[0].noise
noise_power_refl_seed = fiber[0].fields[1].noise
noise_power_pump = fiber[1].fields[1].noise
noise_power_refl_pump = fiber[0].fields[2].noise
return (noise_power_input, noise_power_seed, noise_power_refl_seed,
noise_power_pump, noise_power_refl_pump)
def layout(channels, peak_powers, widths, center_lambdas):
domain = Domain(bit_width=100.0, samples_per_bit=2048)
lt = Layout(domain)
dtime = domain.dtime
out_temporal_power = []
out_spectral_power = []
gssn = Gaussian(channels=channels,
peak_power=peak_powers,
width=widths,
center_lambda=center_lambdas)
for i in range(2):
if (i):
cfg.RK4IP_OPTI_GNLSE = True
else:
cfg.RK4IP_OPTI_GNLSE = False
fiber = Fiber(length=0.2,
nlse_method='rk4ip',
alpha=[0.5],
beta_order=3,
nl_approx=False,
ATT=True,
DISP=True,
SPM=True,
XPM=True,
SS=True,
RS=True,
steps=1000,
save=True)
lt.add_link(gssn[0], fiber[0])
lt.run(gssn)
lt.reset()
out_temporal_power.append(temporal_power(fiber[1][0].channels))
out_spectral_power.append(spectral_power(fiber[1][0].channels))
return (out_temporal_power, out_spectral_power)
def amplitude_transfer_function(nu: np.ndarray,
center_nu: float,
nu_bw: float,
offset_nu: float = .0,
order: int = 1):
"""The transfer function of the flat top window.
Parameters
----------
nu :
The frequency components. :math:`[ps^{-1}]`
center_nu :
The center frequency. :math:`[ps^{-1}]`
nu_bw :
The spectral bandwith. :math:`[ps^{-1}]`
nu_offset :
The offset frequency. :math:`[ps^{-1}]`
"""
nu_bw = Gaussian.fwhm_to_width(nu_bw, order)
delta_nu = nu - offset_nu - center_nu
window = np.zeros(delta_nu.shape, dtype=complex)
arg = np.power(delta_nu / nu_bw, 2 * order)
window = np.exp(-0.5 * arg)
return window
def test_wrong_start_comp_for_run():
"""Should fail if the layout is start with a wrong component."""
# Environment creations
start = Gaussian()
a = IdealCoupler()
layout = Layout()
layout.add_link(a[0], start[0])
# Testing
pytest.raises(StartSimError, layout.run, a)
def test_dispersion(fiber_layout):
"""Should fail if the output fwhm not more than initial pulse."""
# Make sure to have a positive GVD to pass the test
gssn = Gaussian(channels=1, peak_power=[1.0], center_lambda=[1030.])
outputs = fiber_layout(gssn, False, True, False, False, False, False)
in_temporal_fwhm = outputs[2]
out_temporal_fwhm = outputs[6]
for i in range(len(out_temporal_fwhm)):
assert in_temporal_fwhm[0] < out_temporal_fwhm[i][0]
def test_spm(fiber_layout):
"""Should fail if the fwhm of the output spectral powers are more
than the initial pulse."""
# Make sure to have a positive GVD to pass the test
gssn = Gaussian(channels=1, peak_power=[1.0], center_lambda=[1030.])
outputs = fiber_layout(gssn, False, False, True, False, False, False)
in_spectral_fwhm = outputs[3]
out_spectral_fwhm = outputs[7]
for i in range(len(out_spectral_fwhm)):
assert in_spectral_fwhm[0] < out_spectral_fwhm[i][0]
def test_save_field_to_file():
"""Should fail if the saved fields are not the same as the loaded
fields.
"""
file_name = 'temp_file_for_save_field_to_file_test.pk1'
if (os.path.isfile(file_name)):
print("Can not perfom test because a file named '{}' already exist."
.format(file_name))
assert False
else:
lt = Layout()
gssn_1 = Gaussian(channels=1, width=[5.0], save=True)
field_saver_1 = SaveFieldToFile(file_name=file_name, add_fields=False)
gssn_2 = Gaussian(channels=1, width=[10.0], save=True)
field_saver_2 = SaveFieldToFile(file_name=file_name, add_fields=True)
lt.add_links((gssn_1[0], field_saver_1[0]),
(gssn_2[0], field_saver_2[0]))
lt.run(gssn_1, gssn_2)
lt_ = Layout()
load_field = LoadFieldFromFile(file_name=file_name)
lt_.run(load_field)
fields = load_field[0].fields
# Removing created file
os.remove(file_name)
# Tests
assert (fields[0] == gssn_1[0].fields[0])
assert (fields[1] == gssn_2[0].fields[0])
assert_array_equal(fields[0].channels, gssn_1[0].fields[0].channels)
assert_array_equal(fields[1].channels, gssn_2[0].fields[0].channels)
assert_array_equal(fields[0].noise, gssn_1[0].fields[0].noise)
assert_array_equal(fields[1].noise, gssn_2[0].fields[0].noise)
assert_array_equal(fields[0].delays, gssn_1[0].fields[0].delays)
assert_array_equal(fields[1].delays, gssn_2[0].fields[0].delays)
def test_wrong_pass_comp_ports():
"""Should fail if the right error is not raised."""
# Environment creations
class DummyPassComp(AbstractPassComp):
def __init__(self):
super().__init__('', '', [cst.OPTI_ALL, cst.OPTI_ALL], True)
def __call__(self, domain, ports, fields):
return ([5 for i in range(len(fields))], fields)
start = Gaussian()
pass_comp = DummyPassComp()
a = IdealCoupler()
layout = Layout()
layout.add_links((start[0], pass_comp[0]), (pass_comp[1], a[0]))
# Testing
pytest.warns(WrongPortWarning, layout.run, start)
def test_no_divide_output():
"""Should fail if the incoming fields are not the same as the output
fields at each arm.
"""
nbr_channels = 10
arms = 5
gssn = Gaussian(channels=nbr_channels, save=True)
divider = IdealDivider(arms=arms, divide=False, save=True)
lt = Layout()
lt.add_link(gssn[0], divider[0])
lt.run_all()
# Testing
init_power = temporal_power(gssn[0][0].channels)
for i in range(arms):
assert len(divider[i + 1]) == 1
arm_power = temporal_power(divider[i + 1][0].channels)
assert len(arm_power) == len(init_power)
for j in range(len(arm_power)):
assert_array_equal(arm_power[j], init_power[j])
def test_combine_output_diff_omega_and_rep_freq(nbr_channels, ratios):
"""Should fail if the different omega and repetition frequencies
are added to each other.
"""
# Environment creation
back_up_flag_omega = cfg.get_field_op_matching_omega()
back_up_flag_rep_freq = cfg.get_field_op_matching_rep_freq()
cfg.set_field_op_matching_omega(True)
cfg.set_field_op_matching_rep_freq(True)
gssns = []
nbr_arms = len(ratios)
base_power = 10.0
for i in range(nbr_arms):
gssns.append(
Gaussian(channels=nbr_channels,
save=True,
peak_power=[(j + 1) * base_power
for j in range(nbr_channels)],
center_lambda=[(1500. + j) * (i + 1)
for j in range(nbr_channels)],
rep_freq=[(1e-2 + (j * 1e-4)) * (i + 1)
for j in range(nbr_channels)]))
combiner = IdealCombiner(arms=nbr_arms,
ratios=ratios,
save=True,
combine=True)
lt = Layout()
for i in range(nbr_arms):
lt.add_link(gssns[i][0], combiner[i])
lt.run_all()
lt.reset()
# Testing
init_fields = []
for i in range(0, nbr_arms):
init_fields.extend(gssns[i][0].fields)
output_fields = combiner[nbr_arms].fields
assert len(output_fields) == 1
assert len(output_fields[0]) == (nbr_channels * nbr_arms)
# Reset
cfg.set_field_op_matching_omega(back_up_flag_omega)
cfg.set_field_op_matching_rep_freq(back_up_flag_rep_freq)
def layout(nbr_channels_seed, peak_powers_seed, center_lambdas_seed,
nbr_channels_pump, peak_powers_pump, center_lambdas_pump,
REFL_SEED, REFL_PUMP, NOISE):
gssn = Gaussian(channels=nbr_channels_seed,
peak_power=peak_powers_seed,
center_lambda=center_lambdas_seed)
pump = CW(channels=nbr_channels_pump,
peak_power=peak_powers_pump,
center_lambda=center_lambdas_pump)
fiber = FiberYb(length=0.01,
steps=10,
REFL_SEED=REFL_SEED,
REFL_PUMP=REFL_PUMP,
BISEED=False,
BIPUMP=False,
save_all=True,
alpha=[0.05],
max_nbr_iter=2,
NOISE=NOISE)
lt = Layout(Domain(samples_per_bit=64, noise_samples=10))
lt.add_unidir_links((gssn[0], fiber[0]), (pump[0], fiber[2]))
lt.run_all()
return fiber.storages[0]
def test_constraint_waiting():
r"""Should fail if the component is not waiting for other fields.
Notes
-----
Test case::
[0] _________
[1] __________\
[2] ___________\__ Combiner __ check output
[3] ___________/
...
[n-1] _________/
"""
lt = Layout()
nbr_sig = 5
combiner = IdealCombiner(arms=nbr_sig, combine=False, save=True)
for i in range(nbr_sig):
lt.add_link(Gaussian()[0], combiner[i])
lt.run_all()
assert (len(combiner[nbr_sig]) == nbr_sig)
from optcom.field import Field
plot_groups: List[int] = []
line_labels: List[Optional[str]] = []
plot_titles: List[str] = []
x_datas: List[np.ndarray] = []
y_datas: List[np.ndarray] = []
ode_methods: List[str] = ["euler", "rk1", "rk2", "rk3", "rk4"]
# ---------------- NLSE solvers test -------------------------------
lt: Layout = Layout()
Lambda: float = 1030.0
pulse: Gaussian = Gaussian(channels=1,
peak_power=[1.0, 1.0],
center_lambda=[Lambda])
steps: int = int(1e1)
beta_01: float = 1e5
beta_02: float = 1e5
beta: List[Union[List[float], Callable, None]] =\
[[beta_01,10.0,-0.0],[beta_02,10.0,-0.0]]
v_nbr_value = 2.0
v_nbr: List[Union[float, Callable, None]] = [v_nbr_value]
core_radius: List[float] = [5.0]
c2c_spacing: List[List[float]] = [[15.0]]
n_clad: float = 1.02
omega: float = Domain.lambda_to_omega(Lambda)
kappa_: Union[float, Callable]
kappa_ = CouplingCoeff.calc_kappa(omega, v_nbr_value, core_radius[0],
nlse2 = NLSE(alpha=[0.0], beta=[0.0, 0.0])
nlse3 = NLSE(alpha=[0.0], beta=[0.0, 0.0])
nlse4 = NLSE(alpha=[0.0], beta=[0.0, 0.0])
nlse5 = NLSE(alpha=[0.0], beta=[0.0, 0.0])
eqs = [nlse1, nlse2, nlse3, nlse4, nlse5]
method = [
'ssfm', 'ssfm_super_sym', 'ssfm_symmetric', 'ssfm_reduced', 'ssfm'
]
length = 1.0
steps = [10, 9, 8, 7, 6, 5]
step_method = [FIXED, ADAPTATIVE, FIXED]
solver_sequence = [0, 0, 2, 2, 1]
solver_order = ALTERNATING
stepper_method = [FORWARD]
stepper = Stepper(eqs=eqs,
method=method,
length=length,
steps=steps,
step_method=step_method,
solver_sequence=solver_sequence,
solver_order=solver_order,
stepper_method=stepper_method)
dummy_domain = Domain()
ggsn = Gaussian(channels=4)
dummy_ports, dummy_field = ggsn(dummy_domain)
res = stepper(dummy_domain, dummy_field)
in_spectral_power = spectral_power(starter[0][0].channels)
in_temporal_fwhm = fwhm(in_temporal_power, dtime)
in_spectral_fwhm = fwhm(in_spectral_power, domega)
return (in_temporal_power, in_spectral_power, in_temporal_fwhm,
in_spectral_fwhm, out_temporal_power, out_spectral_power,
out_temporal_fwhm, out_spectral_fwhm)
return layout
# ----------------------------------------------------------------------
# Tests ----------------------------------------------------------------
# ----------------------------------------------------------------------
gssn_1_ch = Gaussian(channels=1, peak_power=[1.0])
gssn_2_ch = Gaussian(channels=2, peak_power=[1.0, 0.5])
@pytest.mark.equations
@pytest.mark.parametrize("starter, ATT, DISP, SPM, SS, RS, approx",
[(gssn_1_ch, True, False, False, False, False, False),
(gssn_1_ch, True, True, False, False, False, False),
(gssn_1_ch, True, True, True, False, False, False),
(gssn_1_ch, True, True, True, True, False, True),
(gssn_1_ch, True, True, True, False, True, True),
(gssn_1_ch, True, True, True, True, True, True),
(gssn_2_ch, True, False, False, False, False, False),
(gssn_2_ch, True, True, False, False, False, False),
(gssn_2_ch, True, True, True, False, False, False),
(gssn_2_ch, True, True, True, True, False, True),
def test_interplay_dispersion_and_spm():
"""Should fail if (i) fwhm of temporal output powers for small
N square number is greater than fwhm of initial pulse or (ii)
fwhm of temporal output powers for big N square number is
greater than initial fwhm in case of positive GVD and smaller
than initial fwhm in case of negative GVD.
Notes
-----
Test case::
gssn ___ fiber
"""
# Environment creation
domain = Domain()
lt = Layout(domain)
dtime = domain.dtime
fwhms_pos_gvd = []
fwhms_neg_gvd = []
time_pos_gvd = []
time_neg_gvd = []
nlse_method = "ssfm_symmetric"
# Make sure to have a positive GVD to pass the test
gssn = Gaussian(channels=1, peak_power=[1.0], center_lambda=[1030.])
flag = True
for i in range(1, 5):
if (i == 4):
flag = False
fiber = Fiber(length=1.0,
nlse_method=nlse_method,
alpha=[0.46],
gamma=2.0,
nl_approx=flag,
ATT=False,
DISP=True,
SPM=True,
SS=False,
RS=False,
steps=1000,
save=True,
approx_type=i,
beta=[1e5, 1e3, 20.0])
lt.add_link(gssn[0], fiber[0])
lt.run(gssn)
lt.reset()
time_pos_gvd.append(fiber[1][0].time)
fwhms_pos_gvd.append(fwhm(temporal_power(fiber[1][0].channels), dtime))
flag = True
for i in range(1, 5):
if (i == 4):
flag = False
fiber = Fiber(length=1.0,
nlse_method=nlse_method,
alpha=[0.46],
gamma=2.0,
nl_approx=flag,
ATT=False,
DISP=True,
SPM=True,
SS=False,
RS=False,
steps=1000,
save=True,
approx_type=i,
beta=[1e5, 1e3, -20.0])
lt.add_link(gssn[0], fiber[0])
lt.run(gssn)
lt.reset()
time_neg_gvd.append(fiber[1][0].time)
fwhms_neg_gvd.append(fwhm(temporal_power(fiber[1][0].channels), dtime))
fwhm_temporal_gssn = fwhm(temporal_power(gssn[0][0].channels), dtime)
time_gssn = gssn[0][0].time
# Testing
for i in range(len(fwhms_neg_gvd)):
assert_array_less(time_gssn, time_pos_gvd[i])
assert_array_less(time_gssn, time_neg_gvd[i])
assert fwhm_temporal_gssn[0] < fwhms_pos_gvd[i][0]
assert fwhms_neg_gvd[i][0] < fwhm_temporal_gssn[0]