code: def __init__(self, h=1.0):
      CustomKernel.__init__(
          self,
          shape=lambda x: 0.5 * np.ones(x.shape),
          h=h,
          domain=[-1.0, 1.0],
          norm=1.0,
      )
      self._L2Norm = 0.5
      self._kernel_var = 1.0 / 3
      self._order = 2
  
imports: from statsmodels.compat.python import lzip, lfilter
  import numpy
  import scipy.integrate
  from scipy.special import factorial
  from numpy import exp, multiply, square, divide, subtract, inf
label_desc: Use image node_id 1 to create a new Uniform object from inherited base classes: CustomKernel with example: obj = Uniform(h)