code: def check_problem(self, linear, quadratic):
          
          for key, value in uniform_iterator(linear):
              if value != 0 and key not in self.nodes:
                  return False
          for key, value in uniform_iterator(quadratic):
              if value != 0 and tuple(key) not in self.edges:
                  return False
          return True
docs: Test if an Ising model matches the graph provided by the solver.
  
          Args:
              linear (list/dict): Linear terms of the model (h).
              quadratic (dict of (int, int):float): Quadratic terms of the model (J).
  
          Returns:
              boolean
  
          Examples:
              This example creates a client using the local system's default D-Wave Cloud Client
              configuration file, which is configured to access a D-Wave 2000Q QPU, and
              tests a simple :term:`Ising` model for two target embeddings (that is, representations
              of the model's graph by coupled qubits on the QPU's sparsely connected graph),
              where only the second is valid.
  
              >>> from dwave.cloud import Client
              >>> print((0, 1) in solver.edges)   # doctest: +SKIP
              False
              >>> print((0, 4) in solver.edges)   # doctest: +SKIP
              True
              >>> with Client.from_config() as client:  # doctest: +SKIP
              ...     solver = client.get_solver()
              ...     print(solver.check_problem({0: -1, 1: 1},{(0, 1):0.5}))
              ...     print(solver.check_problem({0: -1, 4: 1},{(0, 4):0.5}))
              ...
              False
              True