ngspice scripting language
The ngspice scripting language is described in detail in Chapt. 17.8. All commands listed in Chapt. 17.5 are available, as well as the built-in functions described in Chapt. 17.2, the control structures listed in Chapt. 17.6, and the predefined variables from Chapt. 17.7. Variables and functions are typically evaluated after a simulation run. You may created loops with several simulation runs and change device and model parameters with the alter (17.5.3) or altermod (17.5.4) commands, as shown in the next section 22.5. You may even interrupt a simulation run by proper usage of the stop (17.5.79) and resume (17.5.57) commands. After stop you may change device or model parameters and then go on with resume, continuing the simulation with the new parameter values.
The statistical functions provided for scripting are listed in the following table:
Name
|
Function
|
rnd(vector)
|
A vector with each component a random integer between 0 and the absolute value of the input vector's corresponding integer element value.
|
sgauss(vector)
|
Returns a vector of random numbers drawn from a Gaussian distribution (real value, mean = 0 , standard deviation = 1). The length of the vector returned is determined by the input vector. The contents of the input vector will not be used. A call to sgauss(0) will return a single value of a random number as a vector of length 1..
|
sunif(vector)
|
Returns a vector of random real numbers uniformly distributed in the interval [-1 .. 1[. The length of the vector returned is determined by the input vector. The contents of the input vector will not be used. A call to sunif(0) will return a single value of a random number as a vector of length 1.
|
poisson(vector)
|
Returns a vector with its elements being integers drawn from a Poisson distribution. The elements of the input vector (real numbers) are the expected numbers λ. Complex vectors are allowed, real and imaginary values are treated separately.
|
exponential(vector)
|
Returns a vector with its elements (real numbers) drawn from an exponential distribution. The elements of the input vector are the respective mean values (real numbers). Complex vectors are allowed, real and imaginary values are treated separately.
|