def calculate_data(self):
# Create a GrowthCalculator object
growth = GrowthCalculator()
# Update the GrowthCalculator parameters from the GUI options
growth.a = self.options_menu.a_sb.value()
growth.b = self.options_menu.b_sb.value()
growth.c = self.options_menu.c_sb.value()
growth.d = self.options_menu.d_sb.value()
growth.predators = self.options_menu.predator_sb.value()
growth.prey = self.options_menu.prey_sb.value()
growth.iterations = self.options_menu.iterations_sb.value()
growth.dt = self.options_menu.timedelta_sb.value()
# Calculate the population growths
results = growth.calculate()
self.predator_history.extend(results['predator'])
self.prey_history.extend(results['prey'])
# Put the latest population sizes into the options toolbar
self.options_menu.predator_sb.setValue(self.predator_history[-1])
self.options_menu.prey_sb.setValue(self.prey_history[-1])
# Redraw the graph
self.redraw_graph()
def setup(self):
self.growth_calculator = GrowthCalculator()
class TestGrowthCalculator:
def setup(self):
self.growth_calculator = GrowthCalculator()
def teardown(self):
del (self.growth_calculator)
def test_growth_calculator_1(self):
self.growth_calculator.a = 0.02
self.growth_calculator.b = 0.1
self.growth_calculator.c = 1.0
self.growth_calculator.d = 0.075
self.growth_calculator.predators = 5
self.growth_calculator.prey = 10
self.growth_calculator.iterations = 5
self.growth_calculator.dt = 0.02
# Define the expected results
expected_results = {
'prey': [
9.9047084,
9.810826891605023,
9.718343504557055,
9.627245889460662,
9.537521345656497,
],
'predator': [
4.9747043,
4.94883441612808,
4.922411023677906,
4.895454666361016,
4.867985738110833,
],
}
# Calculate the population growths and compare to the expected results
actual_results = self.growth_calculator.calculate()
assert (actual_results == expected_results)
def test_growth_calculator_2(self):
self.growth_calculator.a = 0.04
self.growth_calculator.b = 0.1
self.growth_calculator.c = 1.0
self.growth_calculator.d = 0.073
self.growth_calculator.predators = 3
self.growth_calculator.prey = 20
self.growth_calculator.iterations = 7
self.growth_calculator.dt = 0.01
# Define the expected results
expected_results = {
'prey': [
19.9479299588,
19.895721936011856,
19.8433787738455,
19.790903335727396,
19.738298505684906,
19.685567187722064,
19.632712305186992,
],
'predator': [
3.013774538076,
3.0274970884979107,
3.0411660643883405,
3.0547798800787245,
3.068336951550548,
3.0818356968782594,
3.095274536673641,
],
}
# Calculate the population growths and compare to the expected results
actual_results = self.growth_calculator.calculate()
assert (actual_results == expected_results)
def setup(self):
self.growth_calculator = GrowthCalculator()
class TestGrowthCalculator:
def setup(self):
self.growth_calculator = GrowthCalculator()
def teardown(self):
del(self.growth_calculator)
def test_growth_calculator_1(self):
self.growth_calculator.a = 0.02
self.growth_calculator.b = 0.1
self.growth_calculator.c = 1.0
self.growth_calculator.d = 0.075
self.growth_calculator.predators = 5
self.growth_calculator.prey = 10
self.growth_calculator.iterations = 5
self.growth_calculator.dt = 0.02
# Define the expected results
expected_results = {
'prey': [
9.9047084,
9.810826891605023,
9.718343504557055,
9.627245889460662,
9.537521345656497,
],
'predator': [
4.9747043,
4.94883441612808,
4.922411023677906,
4.895454666361016,
4.867985738110833,
],
}
# Calculate the population growths and compare to the expected results
actual_results = self.growth_calculator.calculate()
assert(actual_results == expected_results)
def test_growth_calculator_2(self):
self.growth_calculator.a = 0.04
self.growth_calculator.b = 0.1
self.growth_calculator.c = 1.0
self.growth_calculator.d = 0.073
self.growth_calculator.predators = 3
self.growth_calculator.prey = 20
self.growth_calculator.iterations = 7
self.growth_calculator.dt = 0.01
# Define the expected results
expected_results = {
'prey': [
19.9479299588,
19.895721936011856,
19.8433787738455,
19.790903335727396,
19.738298505684906,
19.685567187722064,
19.632712305186992,
],
'predator': [
3.013774538076,
3.0274970884979107,
3.0411660643883405,
3.0547798800787245,
3.068336951550548,
3.0818356968782594,
3.095274536673641,
],
}
# Calculate the population growths and compare to the expected results
actual_results = self.growth_calculator.calculate()
assert(actual_results == expected_results)
def calculate_data(self):
# Create a GrowthCalculator object
growth = GrowthCalculator()
# Update the GrowthCalculator parameters from the GUI options
growth.a = self.options_menu.a_sb.value()
growth.b = self.options_menu.b_sb.value()
growth.c = self.options_menu.c_sb.value()
growth.d = self.options_menu.d_sb.value()
growth.predators = self.options_menu.predator_sb.value()
growth.prey = self.options_menu.prey_sb.value()
growth.iterations = self.options_menu.iterations_sb.value()
growth.dt = self.options_menu.timedelta_sb.value()
# Calculate the population growths
results = growth.calculate()
self.predator_history.extend(results['predator'])
self.prey_history.extend(results['prey'])
# Put the latest population sizes into the options toolbar
self.options_menu.predator_sb.setValue(self.predator_history[-1])
self.options_menu.prey_sb.setValue(self.prey_history[-1])
# Redraw the graph
self.redraw_graph()