code: def generate_random_ising_problem(solver, h_range=None, j_range=None):
      
  
      if h_range is None:
          h_range = solver.properties.get('h_range', [-1, 1])
      if j_range is None:
          j_range = solver.properties.get('j_range', [-1, 1])
  
      lin = {qubit: random.uniform(*h_range) for qubit in solver.nodes}
      quad = {edge: random.uniform(*j_range) for edge in solver.undirected_edges}
  
      return lin, quad
docs: Generates an Ising problem formulation valid for a particular solver,
      using all qubits and all couplings and linear/quadratic biases sampled
      uniformly from `h_range`/`j_range`.