cbadc.simulator.simulator.NGSpiceSimulator

class cbadc.simulator.simulator.NGSpiceSimulator(testbench: TestBench, step: float, t_end: float, netlist_filename: str = 'ngspice_sim.cir', raw_output_filename: str = 'ngspice_sim.raw', stdout_filename: str = 'ngspice_sim.stdout', stderr_filename: str = 'ngspice_sim.stderr', ac_freq_range=(1000.0, 10000000.0))[source]

Bases: Iterator[ndarray]

Simulate a testbench using NGSpice

Methods

`__init__`(testbench, step, t_end[, ...])
`cleanup`()	Cleanup the simulation files
`get_input_signals`()	Get the input signals from the simulation
`get_sampled_state_trajectories`()
`get_state_trajectories`()	Get the state trajectories from the simulation
`make_netlist`()	Make the netlist for the simulation
`parse`()	Parse the simulation results
`run`()	Run the simulation
`save_control_vector`(filename)	Save the control vector to a numpy file

Attributes

`step`
`t_end`
`control_vector`
`state_vector`
`time_vector`
`testbench`
`netlist_filename`
`raw_output_filename`
`raw_file`
`stdout_filename`
`stderr_filename`
`simulation_time`

cleanup()[source]: Cleanup the simulation files

get_input_signals()[source]: Get the input signals from the simulation

get_state_trajectories()[source]: Get the state trajectories from the simulation

make_netlist()[source]: Make the netlist for the simulation

parse()[source]: Parse the simulation results

run()[source]: Run the simulation

save_control_vector(filename)[source]: Save the control vector to a numpy file