How to use the lmfit.models function in lmfit

            lambda *args, **kwargs: models.ExpressionModel(self.expression, *args, **kwargs))
        super().setUp()

def setUp(self):
        self.true_values = lambda: dict(re=5, im=5)
        self.guess = lambda: dict(re=2, im=2)
        self.model_constructor = models.ComplexConstantModel
        super().setUp()

def setUp(self):
        self.true_values = lambda: dict(c3=2, c2=5, c1=2, c0=8)
        self.guess = lambda: dict(c3=1, c1=1, c2=6, c0=3)
        self.model_constructor = models.PolynomialModel
        self.args = (3,)
        super().setUp()

def factory_gaussian(center=0.1, sigma=0.1, amplitude=1):
    """Return an lmfit Gaussian model that can be used to fit data.

    Arguments are initial values for the model parameters.

    Returns
        An `lmfit.Model` object with all the parameters already initialized.
    """
    model = lmfit.models.GaussianModel()
    model.set_param_hint('center', value=center, min=-1, max=2)
    model.set_param_hint('sigma', value=sigma)
    model.set_param_hint('amplitude', value=amplitude)
    return model

'lm_save_modelresult': save_modelresult,
           'lm_load_modelresult': load_modelresult,
           }

for name in ('BreitWignerModel', 'ComplexConstantModel',
             'ConstantModel', 'DampedHarmonicOscillatorModel',
             'DampedOscillatorModel', 'DonaichModel',
             'ExponentialGaussianModel', 'ExponentialModel',
             'ExpressionModel', 'GaussianModel', 'Interpreter',
             'LinearModel', 'LognormalModel', 'LorentzianModel',
             'MoffatModel', 'ParabolicModel', 'Pearson7Model',
             'PolynomialModel', 'PowerLawModel',
             'PseudoVoigtModel', 'QuadraticModel',
             'RectangleModel', 'SkewedGaussianModel',
             'StepModel', 'StudentsTModel', 'VoigtModel'):
    val = getattr(lmfit.models, name, None)
    if val is not None:
        exports[name] = val

_larch_builtins = {'_math': exports}

if comp in curmodels:
                    curmodels.remove(comp)

            prefix = curmodels[0]

        label = "%s(prefix='%s')" % (model, prefix)
        title = "%s: %s " % (prefix[:-1], model)
        title = prefix[:-1]
        mclass_kws = {'prefix': prefix}
        if 'step' in model.lower():
            form = model.lower().replace('step', '').strip()
            if form.startswith('err'):
                form = 'erf'
            label = "Step(form='%s', prefix='%s')" % (form, prefix)
            title = "%s: Step %s" % (prefix[:-1], form[:3])
            mclass = lm_models.StepModel
            mclass_kws['form'] = form
            minst = mclass(form=form, prefix=prefix)
        else:
            if model in ModelFuncs:
                mclass = getattr(lm_models, ModelFuncs[model])
            else:
                mclass = getattr(lm_models, model+'Model')

            minst = mclass(prefix=prefix)

        panel = GridPanel(self.mod_nb, ncols=2, nrows=5, pad=1, itemstyle=CEN)

        def SLabel(label, size=(80, -1), **kws):
            return  SimpleText(panel, label,
                               size=size, style=wx.ALIGN_LEFT, **kws)
        usebox = Check(panel, default=True, label='Use in Fit?', size=(100, -1))

for comp in self.fit_components:
            if comp in curmodels:
                curmodels.remove(comp)

        prefix = curmodels[0]

        label = "%s(prefix='%s')" % (model, prefix)
        title = "%s: %s" % (prefix[:-1], (model+' '*8)[:8])
        mclass_kws = {'prefix': prefix}
        if 'step' in model.lower():
            form = model.lower().replace('step', '').strip()

            if form.startswith('err'): form = 'erf'
            label = "Step(form='%s', prefix='%s')" % (form, prefix)
            title = "%s: Step %s" % (prefix[:-1], form[:3])
            mclass = lm_models.StepModel
            mclass_kws['form'] = form
            minst = mclass(form=form, prefix=prefix)
        else:
            mclass = getattr(lm_models, model+'Model')
            minst = mclass(prefix=prefix)

        panel = GridPanel(self.mod_nb, ncols=1, nrows=1, pad=1, itemstyle=CEN)

        def SLabel(label, size=(80, -1), **kws):
            return  SimpleText(panel, label,
                               size=size, style=wx.ALIGN_LEFT, **kws)
        usebox = Check(panel, default=True, label='Use?', size=(75, -1))
        delbtn = Button(panel, 'Delete Model', size=(120, -1),
                        action=partial(self.onDeleteComponent, prefix=prefix))
        pick2msg = SimpleText(panel, "    ", size=(75, -1))
        pick2btn = Button(panel, 'Pick Data Range', size=(135, -1),

title = prefix[:-1]
        mclass_kws = {'prefix': prefix}
        if 'step' in model.lower():
            form = model.lower().replace('step', '').strip()
            if form.startswith('err'):
                form = 'erf'
            label = "Step(form='%s', prefix='%s')" % (form, prefix)
            title = "%s: Step %s" % (prefix[:-1], form[:3])
            mclass = lm_models.StepModel
            mclass_kws['form'] = form
            minst = mclass(form=form, prefix=prefix)
        else:
            if model in ModelFuncs:
                mclass = getattr(lm_models, ModelFuncs[model])
            else:
                mclass = getattr(lm_models, model+'Model')

            minst = mclass(prefix=prefix)

        panel = GridPanel(self.mod_nb, ncols=2, nrows=5, pad=1, itemstyle=CEN)

        def SLabel(label, size=(80, -1), **kws):
            return  SimpleText(panel, label,
                               size=size, style=wx.ALIGN_LEFT, **kws)
        usebox = Check(panel, default=True, label='Use in Fit?', size=(100, -1))
        bkgbox = Check(panel, default=False, label='Is Baseline?', size=(125, -1))
        if isbkg:
            bkgbox.SetValue(1)

        delbtn = Button(panel, 'Delete This Component', size=(200, -1),
                        action=partial(self.onDeleteComponent, prefix=prefix))