class_docstr: Kernels who don't depend on the value of the inputs are 'Static'.  The only
  parameter is a variance, σ².
code: def __init__(
      self,
      variance: TensorType = 1.0,
      active_dims: Optional[ActiveDims] = None,
  ) -> None:
      super().__init__(active_dims)
      self.variance = Parameter(variance, transform=positive())
  
file_path: GPflow/gpflow/kernels/statics.py
imports: from typing import Optional
  import tensorflow
  from check_shapes import check_shapes, inherit_check_shapes
  from ..base import Parameter, TensorType
  from ..utilities import positive
  from .base import ActiveDims, Kernel
label_desc: Use image node_id 1 to create a new Static object from inherited base classes: Kernel with example: obj = Static(variance, active_dims)