class_docstr: A minimal (but valid) convolutional kernel for sequences of variable
  length.
code: def clone_with_theta(self, theta):
      cloned = clone(self)
      cloned.theta = theta
      return cloned
  
file_path: scikit-learn/sklearn/gaussian_process/tests/_mini_sequence_kernel.py
imports: import numpy
  from sklearn.base import clone
  from sklearn.gaussian_process.kernels import GenericKernelMixin, Hyperparameter, Kernel, StationaryKernelMixin
label_desc: Use image node_id 7 for calling the MiniSeqKernel obj's underlying member method code with example usage: obj.clone_with_theta(theta) and returns: cloned