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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def gfit1d(y, x=None, err=None, weights=None, par=None, parinfo=None, maxiter=200, quiet=0):
 """ Return the gaussian fit as an object. Parameters y: 1D Numpy array The data to be fitted x: 1D Numpy array (optional) The x values of the y array. x and y must have the same shape. err: 1D Numpy array (optional) 1D array with measurement errors, must be the same shape as y weights: 1D Numpy array (optiional) 1D array with weights, must be the same shape as y par: List (optional) Starting values for the parameters to be fitted parinfo: Dictionary of lists (optional) provides additional information for the parameters. For a detailed description see nmpfit.py. Parinfo can be used to limit parameters or keep some of them fixed. maxiter: number Maximum number of iterations to perform Default: 200 quiet: number if set to 1, nmpfit does not print to the screen Default: 0 Examples -------- [10. 15. 1.41421356] """

    y = y.astype(np.float)
    if weights is not None:
        weights = weights.astype(np.float)
    if err is not None:
        err = err.astype(np.float)
    if x is None and len(y.shape) == 1:
        x = np.arange(len(y)).astype(np.float)
    if x.shape != y.shape:
        print("input arrays X and Y must be of equal shape.\n")
        return

    fa = {'x': x, 'y': y, 'err': err, 'weights': weights}

    if par is not None:
        p = par
    else:
        ysigma = y.std()
        ind = np.nonzero(y > ysigma)[0]
        if len(ind) != 0:
            xind = int(ind.mean())
            p2 = x[xind]
            p1 = y[xind]
            p3 = 1.0
        else:
            ymax = y.max()
            ymin = y.min()
            ymean= y.mean()
            if (ymax - ymean) > (abs(ymin - ymean)):
                p1 = ymax
            else: p1 = ymin
            ind = (np.nonzero(y == p1))[0]
            p2 = x.mean()
            p3 = 1.


        p = [p1, p2, p3]
    m = nmpfit.mpfit(_gauss_funct, p,parinfo = parinfo, functkw=fa,
    maxiter=maxiter, quiet=quiet)
    if (m.status <= 0): print('error message = ', m.errmsg)
    return m