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 layout(starter, ATT, DISP, SPM, SS, RS, approx):
domain = Domain()
lt = Layout(domain)
dtime = domain.dtime
domega = domain.domega
out_temporal_power = []
out_spectral_power = []
out_temporal_fwhm = []
out_spectral_fwhm = []
nlse_method = "ssfm_symmetric"
flag = True
till_nbr = 4 if approx else 5
for i in range(1, till_nbr):
if (i == 4):
flag = False
fiber = Fiber(length=1.0,
nlse_method=nlse_method,
alpha=[0.046],
nl_approx=flag,
ATT=ATT,
DISP=DISP,
SPM=SPM,
SS=SS,
RS=RS,
steps=1000,
save=True,
approx_type=i)
lt.add_link(starter[0], fiber[0])
lt.run(starter)
lt.reset()
out_temporal_power.append(temporal_power(fiber[1][0].channels))
out_spectral_power.append(spectral_power(fiber[1][0].channels))
out_temporal_fwhm.append(fwhm(out_temporal_power[-1], dtime))
out_spectral_fwhm.append(fwhm(out_spectral_power[-1], domega))
in_temporal_power = temporal_power(starter[0][0].channels)
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)
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 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]