code: def min_conflicts(csp, max_steps=100000):
      
      # Generate a complete assignment for all vars (probably with conflicts)
      csp.current = current = {}
      for var in csp.vars:
          val = min_conflicts_value(csp, var, current)
          csp.assign(var, val, current)
      # Now repeatedly choose a random conflicted variable and change it
      for i in range(max_steps):
          conflicted = csp.conflicted_vars(current)
          if not conflicted:
              return current
          var = random.choice(conflicted)
          val = min_conflicts_value(csp, var, current)
          csp.assign(var, val, current)
      return None
docs: Solve a CSP by stochastic hillclimbing on the number of conflicts.