old_contents: from __future__ import print_function, absolute_import, division
  
  from .trials import Trial
  from .config import Config
  from .plot import plot_1, plot_2, plot_3, plot_4
  
  try:
      import bokeh.plotting as bk
      from bokeh.io import vplot
  except ImportError:
      raise RuntimeError(
          'This command requires the Bokeh library (http://bokeh.pydata.org/) '
          'version >=0.10.0.\n\n    $ conda install bokeh  # (recommended)\n'
          'or\n    $ pip install bokeh')
  
  PLOTS = [plot_4, plot_1, plot_2, plot_3]
  
  
  def execute(args, parser):
      config = Config(args.config, verbose=False)
      with config.trialscontext() as session:
          q = (session.query(Trial)
               .filter(Trial.status == 'SUCCEEDED')
               .order_by(Trial.started))
          data = [curr.to_dict() for curr in q.all()]
  
      bk.output_file(args.filename, title='osprey')
  
      plots = []
      ss = config.search_space()
      for plot in PLOTS:
          plt = plot(data, ss)
          if plt is not None:
              plt = plt if isinstance(plt, list) else [plt]
              plots.extend(plt)
  
      p = vplot(*plots)
      if args.browser:
          bk.show(p)
      else:
          bk.save(p)
  
new_contents: from __future__ import print_function, absolute_import, division
  
  from .trials import Trial
  from .config import Config
  from .plot import plot_1, plot_2, plot_3, plot_4
  
  try:
      import bokeh.plotting as bk
      from bokeh.models.layouts import Column
  except ImportError:
      raise RuntimeError(
          'This command requires the Bokeh library (http://bokeh.pydata.org/) '
          'version >=0.10.0.\n\n    $ conda install bokeh  # (recommended)\n'
          'or\n    $ pip install bokeh')
  
  PLOTS = [plot_4, plot_1, plot_2, plot_3]
  
  
  def execute(args, parser):
      config = Config(args.config, verbose=False)
      with config.trialscontext() as session:
          q = (session.query(Trial)
               .filter(Trial.status == 'SUCCEEDED')
               .order_by(Trial.started))
          data = [curr.to_dict() for curr in q.all()]
  
      bk.output_file(args.filename, title='osprey')
  
      plots = []
      ss = config.search_space()
      for plot in PLOTS:
          plt = plot(data, ss)
          if plt is not None:
              plt = plt if isinstance(plt, list) else [plt]
              plots.extend(plt)
  
      p = Column(*plots)
      if args.browser:
          bk.show(p)
      else:
          bk.save(p)
  
subject: fix #186