class_docstr: Jax pytree representing a lazy dot operation.
class_docstr_tok: ["Jax","pytree","representing","a","lazy","dot","operation","."]
code: def __matmul__(self, other):
      return sum(
          c * (m @ other) for c, m in zip(self.coeffs, self.mats)
      )
  
file_path: pennylane/pennylane/pulse/parametrized_hamiltonian_pytree.py
imports: from dataclasses import dataclass
  from typing import Callable, Optional, Tuple, Union
  import jax
  import jax.numpy
  from jax.experimental import sparse
  from jax.tree_util import register_pytree_node_class
  import pennylane
  from .parametrized_hamiltonian import ParametrizedHamiltonian
  from .hardware_hamiltonian import HardwareHamiltonian
label_desc: Use image node_id 1 for calling the LazyDotPytree obj's underlying member method code with example usage: obj.__matmul__(other) and returns: sum