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Further Ngspice integration #33

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d2386c6
add ngspice simulation commands and parsing of DC OP
MiikkaMaki Apr 8, 2026
1d89a6e
add support for ngspice ports and sparameter simulations
MiikkaMaki Apr 8, 2026
aae8739
add ngspice noise simulation
MiikkaMaki Apr 8, 2026
97a59d8
fix noise values to floats
MiikkaMaki Apr 9, 2026
dfe381f
prepare pss
MiikkaMaki Apr 9, 2026
5b8aae6
only read noise output if simulating noise
MiikkaMaki Apr 9, 2026
965c819
fix broken sp results
MiikkaMaki May 4, 2026
b09b8c0
fix ngspice rfports
MiikkaMaki May 5, 2026
fd00864
set strobeperiod as tstep in tran
MiikkaMaki May 22, 2026
743ba7b
parse Rn and SOpt from sparams
MiikkaMaki May 25, 2026
56c2658
select tprint as timestep if available
MiikkaMaki Jun 8, 2026
905867d
oops wrong way around
MiikkaMaki Jun 9, 2026
d1c5f23
Fix cmdfile_ext
mkosunen Jun 19, 2026
ec5725a
fix file extension on sparam and noise simulations
MiikkaMaki Jul 3, 2026
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239 changes: 220 additions & 19 deletions spice/ngspice/ngspice.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,8 @@
import multiprocessing
from spice.spice_common import spice_common
import numpy as np

import traceback
import glob

class ngspice(spice_common):
"""This class is used as instance in simulatormodule property of
Expand Down Expand Up @@ -276,18 +277,124 @@ def run_plotprogram(self):
def read_sp_result(self, **kwargs):
"""Internally called function to read the S-parameter simulation results"""
read_type = kwargs.get("read_type")
if "sp" in self.parent.simcmd_bundle.Members.keys():
try:
if "sp" in self.parent.simcmd_bundle.Members.keys():
self.extracts.Members.update({read_type: {}})
sweep = False
# For distributed runs
if self.parent.distributed_run:
# TODO: check functionality and implement
self.print_log(
type="F",
msg=f"Distributed runs not currently supported for \
S-parameter analyses.",
)
path = os.path.join(
self.parent.spicesimpath,
"tb_%s.raw" % self.parent.name,
"[0-9]*",
)
else:
path = os.path.join(
self.parent.spicesimpath,
"tb_%s.raw" % self.parent.name,
)
# Sort files such that the sweeps are in correct order.
if sweep:
num_sweeps = len(val.sweep)
files = glob.glob(path)
for i in range(num_sweeps):
files = sorted(files, key=lambda x: self.sorter(x, i))
if len(files) > 0:
rd, fileptr = self.create_nested_sweepresult_dict(
0,
0,
self.extracts.Members["sweeps_ran"],
files,
read_type,
)
else:
files = glob.glob(path)
if len(files) > 1: # This should not happen
self.print_log(
type="W",
msg="S-parameter analysis was not a sweep, but for \
some reason multiple output files were found. \
results may be in wrong order!",
)
srange = range(1, len(self.parent.spice_ports)+1)
sp = [f's{i}{j}' for i in srange for j in srange]
result = {}

if len(files) > 0:
with open(files[0], "r") as f:
for line in f:
values = line.split()
frequency = float(values[0])
real = [float(v) for v in values[1::3]]
imag = [float(v) for v in values[2::3]]
if self.parent.noise:
sopt = complex(real.pop(), imag.pop())
rn = complex(real.pop(), imag.pop())
nfmin = complex(real.pop(), imag.pop())
nf = complex(real.pop(), imag.pop())
if len(real)==len(sp):
if sp[0] not in result:
for i in range(len(sp)):
result[sp[i]]=[frequency, complex(real[i],imag[i])]
if self.parent.noise:
result['NF']=[frequency, nf]
result['NFmin']=[frequency, nfmin]
result['Rn']=[frequency, rn]
result['SOpt']=[frequency, sopt]
else:
for i in range(len(sp)):
result[sp[i]]=np.vstack([result[sp[i]],[frequency, complex(real[i],imag[i])]])
if self.parent.noise:
result['NF']=np.vstack([result['NF'],[frequency, nf]])
result['NFmin']=np.vstack([result['NFmin'],[frequency, nfmin]])
result['Rn']=np.vstack([result['Rn'],[frequency, rn]])
result['SOpt']=np.vstack([result['SOpt'],[frequency, sopt]])
rd = {
0: {"param": "nosweep", "value": 0, read_type: result}
}
self.extracts.Members[read_type].update({"results": rd})
except:
self.print_log(type="W", msg=traceback.format_exc())
self.print_log(
type="W",
msg="S-Parameters unsupported for %s" % (self.parent.model),
msg="Something went wrong while extracting S-parameters",
)

def read_noise_result(self, **kwargs):
"""Internally called function to read the noise simulation results"""
if "noise" in self.parent.simcmd_bundle.Members.keys():
try:
if "noise" in self.parent.simcmd_bundle.Members.keys():
self.extracts.Members.update({'noise': {}})
path = os.path.join(
self.parent.spicesimpath,
"tb_%s.raw" % self.parent.name,
)
files = glob.glob(path)
onoise = []
inoise = []
freq = []

if len(files) > 0:
with open(files[0], "r") as f:
for line in f:
values = line.split()
freq.append(float(values[0]))
onoise.append(float(values[1]))
inoise.append(float(values[3]))
self.extracts.Members['noise'].update({"onoise_spectrum": onoise})
self.extracts.Members['noise'].update({"inoise_spectrum": inoise})
self.extracts.Members['noise'].update({"freq": freq})
except:
self.print_log(type="W", msg=traceback.format_exc())
self.print_log(
type="F",
msg="Noise analysis unsupported for %s" % (self.parent.model),
type="W",
msg="Something went wrong while extracting results of noise simulation.",
)
return None, None

Expand All @@ -313,18 +420,112 @@ def read_oppts(self):
"""Internally called function to read the DC operating points of the circuit"""

try:
if (
"dc" in self.parent.simcmd_bundle.Members.keys()
): # Unsupported model
self.print_log(
type="F",
msg="DC analysis unsupported for %s" % (self.parent.model),
)
raise Exception(
"DC optpoint extraction not supported for Eldo."
)
if "dc" in self.parent.simcmd_bundle.Members.keys():
self.extracts.Members.update({"oppts": {}})
# TODO: SWEEP AND MC NOT VERIFIED
sweep = False
# Get dc simulation file name
for name, val in self.parent.simcmd_bundle.Members.items():
mc = val.mc
if name == "dc":
fname = ""
if len(val.sweep) != 0:
for i in range(0, len(val.sweep)):
sweep = True
fname += "Sweep%d-[0-9]*_" % i
if mc:
fname += "mc_oppoint.dc"
else:
fname += "oppoint.dc"
else:
if mc:
fname = "mc_oppoint*.dc"
else:
fname = "oppoint*.dc"
break
# For distributed runs
if self.parent.distributed_run:
path = os.path.join(
self.parent.spicesimpath,
"tb_%s.raw" % self.parent.name,
"[0-9]*",
fname,
)
else:
path = os.path.join(
self.parent.spicesimpath,
"tb_%s.raw" % self.parent.name,
)
# Sort files so that sweeps are in correct order
if sweep:
num_sweeps = len(val.sweep)
files = glob.glob(path)
for i in range(num_sweeps):
files = sorted(files, key=lambda x: self.sorter(x, i))
else:
files = glob.glob(path)
if len(files) > 1: # This shoudln't happen
self.print_log(
type="W",
msg="DC analysis was not a sweep, but multiple output files were found! Results may be in incorrect order!",
)
varbegin = "Variables:\n"
variables = []
valbegin = "Values:\n"
values = []
parsevars = False
parsevals = False
for file in files:
with open(file, "r") as f:
for line in f:
# Scan file until unit descriptions end and values start
if (line == varbegin):
parsevars = True
# Scan values from output until EOF
elif (line != valbegin and parsevars):
parts = line.split()
if len(parts) >= 3:
variables.append(parts[1])
elif (parsevals):
parts = line.split()
if len(parts) >= 2:
values.append(parts[1])
elif len(parts) == 1:
values.append(parts[0])
elif line == valbegin:
parsevars = False
parsevals = True
for i in range(len(values)):
# Found new device
var = variables[i].replace('(','.').replace(')','.').replace('[','.').replace(']','.').split('.')
if self.parent.name not in variables[i]:
# Currently node voltages are ignored
param = var[0]
dev = ''.join(var[1:])

elif '[' in variables[i]:
if self.parent.name in var[1]:
var = var[1:-1]
elif self.parent.name in var[2]:
var = var[2:-2]
dev = '.'.join(var[0:-2])
param = var[-1]
elif '(' in variables[i]:
param = var[0]
dev = '.'.join(var[1:-1])

val = float(values[i])

if (dev not in self.extracts.Members["oppts"]):
self.extracts.Members["oppts"].update({dev: {}})
# Found new parameter for device
if (param not in self.extracts.Members["oppts"][dev]):
self.extracts.Members["oppts"][dev].update({param: [val]})
else: # Parameter already existed, just append value. This can occur in e.g. sweeps
self.extracts.Members["oppts"][dev][param].append(val)
else: # DC analysis not in simcmds, oppts is empty
self.extracts.Members.update({"oppts": {}})

except:
self.print_log(type="W", msg=traceback.format_exc())
self.print_log(
Expand Down Expand Up @@ -523,11 +724,11 @@ def read_output_file(self, file, dtype):
k
] # Indexing of line numbers starts from one
if k == len(linenumbers) - 1:
stop = numlines - 1
stop = numlines
else:
stop = (
linenumbers[k + 1] - 6
) # Previous data column ends 5 rows before start of next one
linenumbers[k + 1] - 1
)
nrows = stop - start
if nrows < 20e6:
self.print_log(
Expand Down
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