def _set_observers(self, number_of_islands):
observers = []
plotting_observer = None
if util.in_ipnb():
color_map = util.generate_colors(number_of_islands)
progress_observer = IPythonNotebookMultiprocessProgressObserver(number_of_islands=number_of_islands)
if config.use_bokeh:
plotting_observer = IPythonNotebookBokehMultiprocessPlotObserver(number_of_islands=number_of_islands,
color_map=color_map)
else:
progress_observer = CliMultiprocessProgressObserver(number_of_islands=number_of_islands)
if progress_observer is not None:
observers.append(progress_observer)
if plotting_observer is not None:
observers.append(plotting_observer)
return observers
def _set_observers(self, number_of_islands):
observers = []
plotting_observer = None
if util.in_ipnb():
color_map = util.generate_colors(number_of_islands)
progress_observer = IPythonNotebookMultiprocessProgressObserver(number_of_islands=number_of_islands)
if config.use_bokeh:
plotting_observer = IPythonNotebookBokehMultiprocessPlotObserver(number_of_islands=number_of_islands,
color_map=color_map)
else:
progress_observer = CliMultiprocessProgressObserver(number_of_islands=number_of_islands)
if progress_observer is not None:
observers.append(progress_observer)
if plotting_observer is not None:
observers.append(plotting_observer)
return observers
def test_color_generation(self):
for i in range(1, 100):
color_map = generate_colors(i)
assert len(color_map) == i
assert len(color_map) == len(set(color_map.values()))
def test_color_generation(self):
for i in range(1, 100):
color_map = generate_colors(i)
self.assertEqual(len(color_map), i)
self.assertEqual(len(color_map), len(set(color_map.values())))
def test_color_generation(self):
for i in range(1, 100):
color_map = generate_colors(i)
self.assertEqual(len(color_map), i)
self.assertEqual(len(color_map), len(set(color_map.values())))
