(self, repetitions=1, locations=np.arange(-0.5, 0.6, 0.2), plot=True)
return self
generates, plots and saves function values ``func(y)``,
        where ``y`` is 'close' to `x` (see `__init__()`). The data are stored in
        the ``res`` attribute and the class instance is saved in a file
        with (the weired) name ``str(func)``.

        Parameters
        ----------
            `repetitions`
                for each point, only for noisy functions is >1 useful. For
                ``repetitions==0`` only already generated data are plotted.
            `locations`
                coordinated wise deviations from the middle point given in `__init__`
generates, plots and saves function values ``func(y)``,
        where ``y`` is 'close' to `x` (see `__init__()`). The data are stored in
        the ``res`` attribute and the class instance is saved in a file
        with (the weired) name ``str(func)``.
generates plots and saves function values func ( y ) where y is close to x ( see __init__ () ) . The data are stored in the res attribute and the class instance is saved in a file with ( the weired ) name str ( func ) .
def do(self, repetitions=1, locations=np.arange(-0.5, 0.6, 0.2), plot=True):
        """generates, plots and saves function values ``func(y)``,
        where ``y`` is 'close' to `x` (see `__init__()`). The data are stored in
        the ``res`` attribute and the class instance is saved in a file
        with (the weired) name ``str(func)``.

        Parameters
        ----------
            `repetitions`
                for each point, only for noisy functions is >1 useful. For
                ``repetitions==0`` only already generated data are plotted.
            `locations`
                coordinated wise deviations from the middle point given in `__init__`

        """
        if not repetitions:
            self.plot()
            return

        res = self.res
        for i in range(len(self.basis)): # i-th coordinate
            if i not in res:
                res[i] = {}
            # xx = np.array(self.x)
            # TODO: store res[i]['dx'] = self.basis[i] here?
            for dx in locations:
                xx = self.x + dx * self.basis[i]
                xkey = dx  # xx[i] if (self.basis == np.eye(len(self.basis))).all() else dx
                if xkey not in res[i]:
                    res[i][xkey] = []
                n = repetitions
                while n > 0:
                    n -= 1
                    res[i][xkey].append(self.func(xx, *self.args))
                    if plot:
                        self.plot()
                    self.save()
        return self
def do ( self , repetitions = 1 , locations = np . arange ( - 0.5 , 0.6 , 0.2 ) , plot = True ) : if not repetitions : self . plot ( ) return res = self . res for i in range ( len ( self . basis ) ) : # i-th coordinate if i not in res : res [ i ] = { } # xx = np.array(self.x) # TODO: store res[i]['dx'] = self.basis[i] here? for dx in locations : xx = self . x + dx * self . basis [ i ] xkey = dx # xx[i] if (self.basis == np.eye(len(self.basis))).all() else dx if xkey not in res [ i ] : res [ i ] [ xkey ] = [ ] n = repetitions while n > 0 : n -= 1 res [ i ] [ xkey ] . append ( self . func ( xx , * self . args ) ) if plot : self . plot ( ) self . save ( ) return self