code: def suggest_solver(num_evals=50, solver_name=None, **kwargs):
      if solver_name:
          solvercls = solver_registry.get(solver_name)
      else:
          solver_name = "particle swarm"
          solvercls = solvers.ParticleSwarm
      if hasattr(solvercls, "suggest_from_box"):
          suggestion = solvercls.suggest_from_box(num_evals, **kwargs)
      elif hasattr(solvercls, "suggest_from_seed"):
          # the seed will be the center of the box that is provided to us
          seed = dict(
              [(k, float(v[0] + v[1]) / 2) for k, v in kwargs.items()]
          )
          suggestion = solvercls.suggest_from_seed(num_evals, **seed)
      else:
          raise ValueError(
              "Unable to instantiate " + solvercls.name + "."
          )
      suggestion["solver_name"] = solver_name
      return suggestion
  
imports: import timeit
  import sys
  import operator
  from .None import functions
  from .None import solvers
  from .None import search_spaces
  from .solvers import solver_registry
  from .util import DocumentedNamedTuple
  from .constraints import wrap_constraints
label_desc: Use image node_id 4 for calling a global function with example usage: suggest_solver(num_evals, solver_name) and returns: suggestion