def test_reference_prediction_feature():
start_time = datetime.now()
hr = SpaceRepetitionReference(epoch=start_time, )
graph_handle, data_dict = hr.plot_graph(stop=30)
training_moments_1 = hr.range_for(stop=30, curve=1, day_step_size=0.1)
results_1 = [
hr.recollect_scalar(training_moment, curve=1)
for training_moment in training_moments_1
]
training_moments_2 = hr.range_for(stop=30, curve=2, day_step_size=0.1)
results_2 = [
hr.recollect_scalar(training_moment, curve=2)
for training_moment in training_moments_2
]
training_moments_3 = hr.range_for(stop=30, curve=3, day_step_size=0.1)
results_3 = [
hr.recollect_scalar(training_moment, curve=3)
for training_moment in training_moments_3
]
reference_plot = graph_handle.axarr
reference_plot.plot(training_moments_1, results_1, color='xkcd:azure')
reference_plot.plot(training_moments_2, results_2, color='xkcd:darkgreen')
reference_plot.plot(training_moments_3, results_3, color='xkcd:maroon')
hr.save_figure("results/space_reference_predictions.pdf")
graph_handle.close()
def test_reference_plot_closing_features():
start_time = datetime.now()
hr = SpaceRepetitionReference(epoch=start_time)
hdl, _ = hr.plot_graph(stop=42)
hdl.close()
def test_reference_graph_too_long():
hr = SpaceRepetitionReference(epoch=datetime.now())
hdl, _ = hr.plot_graph(stop=60)
hr.save_figure("results/space_reference_too_long_plot.pdf")
hdl.close()