This is identical to RLC_Setups in rlc-04.py except that there is now a constraint.

Method	analyzers	Undocumented
Method	weights	Undocumented
Method	transforms	Undocumented

Inherited from Setups:

Class Variable	goals	Text or a text file defining the device's performance goals. Parsed by `DataParser`.
Class Variable	specs	Text or a text file defining the device's specifications. Parsed by `SpecsParser`.
Class Variable	EvalHelper	A class with a constructor that takes a `Specs` instance as its sole argument. I automatically construct it right away if you define the class and you can refer to the instance via my eh attribute.
Class Variable	nameLists	A dict of lists of vector names to retrieve after each analysis, each keyed by setup ID.
Class Variable	plotSpecs	(Optional) A setup ID-keyed dict of plot specificiations, if parameter-fit plotting is desired. For each setup: `None` if no plot for that setup, or a list with: [<plot title>, <x-axis vector name>, <y-axis vector name(s)>]
Class Variable	independents	A setup ID-keyed dict of lists of names of the vectors that are independent variables.
Class Variable	Xs	A setup ID-keyed dict of lists of goals that were not otherwise defined with goals. Items can be either a 2-D Numpy array of expected goal values or a callable. An array must have one column for each vector name listed in the nameLists list for that setup. A callable must accept the vectors named in the nameLists list as 1-D Numpy arrays and return a real-valued sum-of-squared error based on how closely the values in those vectors conform to some user-defined goal. If there is no Xs entry for a given setup ID (after I populate it from parsing goals, no analysis for that setup will be included.
Class Variable	logValues	A set of vector names that should be evaluated and plotted in log space rather than linear. I will log-transform any goal points in X corresponding to such vector names. It's up to whoever uses me to do the same log transformation on simulation results.
Class Variable	defaultSpecs	A dict of default values for attributes that don't appear in a given subclass's specs.
Instance Variable	netlists	A setup ID-keyed dict of netlist file paths or text. Usually populated by `ParameterFinder`.
Class Method	setdefaults	Examines my class (or subclass), or an object if supplied as a sole argument, for attributes named in my defaultSpecs dict. Those not found are set to the default values.
Method	__init__	`Setups(**kw)`
Method	__contains__	I contain a setup ID if it's for a setup I run.
Method	__len__	My length is the number of setups I run.
Method	__iter__	I iterate over my setup IDs. You can change my IDs attribute during iteration if you want.
Method	__getstate__	For pickling during wire evaluation.
Method	__setstate__	For unpickling during wire evaluation.
Method	setup	Override this if you want custom setup at the beginning of my standard setup, right after `setdefaults` gets called and an `EvalHelper` instance is constructed.
Method	_setupDicts	Called by my constructor with a `Specs` object to replace any dict-producing callable attributes with their results.
Method	_prune	Called by my constructor to get (1) a sorted copy of my class-wide IDs list and (2) a pruned version of nameLists containing just entries for the enabled IDs.
Method	_checkWeights	Called by my constructor to make sure my weights dict is legit.
Method	_finalizeXs	Called by my constructor to finalize the setting up of a dict of evaluation goals, one Numpy 2-D array or callable evaluator per setup ID.

def analyzers(self, s):

overrides pingspice.analysis.param.Setups.analyzers

Undocumented

def weights(self, s):

overrides pingspice.analysis.param.Setups.weights

Undocumented

def transforms(self, s):

overrides pingspice.analysis.param.Setups.transforms

Undocumented

API Documentation for pingspice, generated by pydoctor at 2021-09-18 08:41:11.

pingspice.examples.rlc-06.RLC_Setups(param.Setups) class documentation

`pingspice.examples.rlc-06.RLC_Setups(param.Setups)` class documentation