def test_delete_phase(self, jhu_data, population_data, country):
# Setting
population = population_data.value(country)
sr_df = jhu_data.to_sr(country=country, population=population)
series = PhaseSeries("01Apr2020", "01Aug2020", population)
series.trend(sr_df, show_figure=False)
first_len = len(series)
# Deletion of 0th phase is the same as disabling 0th phase
series.delete("0th")
series.enable("0th")
assert len(series) == first_len
assert "5th" in series.to_dict()
# Delete phase (not the last registered phase)
new_second = PhaseUnit(
series.unit("2nd").start_date,
series.unit("3rd").end_date,
series.unit("2nd").population)
series.delete("3rd")
assert len(series) == first_len - 1
assert series.unit("2nd") == new_second
# Delete the last phase
old_last = series.unit("last")
series.delete("last")
series.add()
assert series.unit("last").start_date == old_last.start_date
def test_simulate(self, jhu_data, population_data, country):
# Setting
population = population_data.value(country)
record_df = jhu_data.subset(country, population=population)
series = PhaseSeries("01Apr2020", "01Aug2020", population)
# Simulation
series.add(
end_date="22Apr2020", model=SIR, tau=360, rho=0.006, sigma=0.011)
df = series.simulate(record_df=record_df)
assert set(df.columns) == set(Term.NLOC_COLUMNS)
def test_add_phase_with_model(self, jhu_data, population_data, country):
# Setting
population = population_data.value(country)
series = PhaseSeries("01Apr2020", "01Aug2020", population)
series.add()
# Add future phase with model and tau
series.add(end_date="01Sep2020", model=SIR, tau=360)
series.add(end_date="01Oct2020")
length = len(series)
assert series.to_dict()[Term.num2str(length - 2)][Term.ODE] == SIR.NAME
assert series.to_dict()[Term.num2str(length - 1)][Term.TAU] == 360
series.add(end_date="01Nov2020", rho=0.006)
series.add(end_date="01Dec2020", sigma=0.011)
assert series.to_dict()[Term.num2str(length + 1)][Term.RT] == 0.55
assert series.to_dict()[Term.num2str(length + 1)]["1/beta [day]"] == 41
def test_trend(self, jhu_data, population_data, country):
warnings.simplefilter("ignore", category=UserWarning)
warnings.simplefilter("ignore", category=DeprecationWarning)
# Setting
population = population_data.value(country)
sr_df = jhu_data.to_sr(country=country, population=population)
series = PhaseSeries("01Apr2020", "01Aug2020", population)
# Add a phase with specified end date
series.add(end_date="22Apr2020")
# S-R trend analysis
series.trend(sr_df, set_phases=False, area=None)
series.trend(sr_df, set_phases=False, area=None, show_figure=False)
assert len(series) == 1
assert set(series.to_dict()) == set(["0th"])
# S-R trend analysis and set phases
series.trend(sr_df)
series.trend(sr_df, show_figure=False)
# Un-registered phase
with pytest.raises(KeyError):
series.unit("100th")
def test_add_phase_with_model(self, jhu_data, population_data, country):
# Setting
population = population_data.value(country)
sr_df = jhu_data.to_sr(country=country, population=population)
series = PhaseSeries("01Apr2020", "01Aug2020", population)
series.trend(sr_df, show_figure=False)
# Add future phase with model and tau
series.add(end_date="01Sep2020", model=SIR, tau=360)
series.add(end_date="01Oct2020")
assert series.to_dict()["7th"][Term.ODE] == SIR.NAME
assert series.to_dict()["8th"][Term.TAU] == 360
series.add(end_date="01Nov2020", rho=0.006)
series.add(end_date="01Dec2020", sigma=0.011)
assert series.to_dict()["10th"][Term.RT] == 0.55
assert series.to_dict()["10th"]["1/beta [day]"] == 41
def test_replace(self, jhu_data, population_data, country):
# Setting
population = population_data.value(country)
series = PhaseSeries("01Apr2020", "01Aug2020", population)
series.add(end_date="01May2020")
series.add(end_date="01Jun2020")
series.add(end_date="01Jul2020")
series.add()
# Replace one old phase with one new phase
unit_old = series.unit("0th")
unit_new = PhaseUnit(
unit_old.start_date, unit_old.end_date, population
)
unit_new.set_ode(tau=360)
series.replace("0th", unit_new)
assert series.unit("0th") == unit_new
# Replace one old phase with two new phases
unit_old = series.unit("1st")
change_date = Term.date_change(unit_old.end_date, days=-7)
unit_pre = PhaseUnit(
unit_old.start_date, Term.yesterday(change_date), population)
unit_pre.set_ode(tau=360)
unit_fol = PhaseUnit(change_date, unit_old.end_date, population)
unit_fol.set_ode(tau=360)
series.replaces(phase="1st", new_list=[unit_pre, unit_fol])
print(series.unit("1st"), unit_pre)
assert series.unit("1st") == unit_pre
assert series.unit("2nd") == unit_fol
# TypeError of new_list
with pytest.raises(TypeError):
series.replaces(phase="3rd", new_list=[unit_pre, Term])
# ValueError with tense
with pytest.raises(ValueError):
future_unit = PhaseUnit("01Sep2020", "01Dec2020", population)
series.replaces(phase="3rd", new_list=[future_unit])
# Add phase without deletion of any phases
new1 = PhaseUnit("02Aug2020", "01Sep2020", population)
new2 = PhaseUnit("02Sep2020", "01Oct2020", population)
series.replaces(phase=None, new_list=[new1, new2])
assert series.unit("last") == new2
def test_add_phase(self, jhu_data, population_data, country):
# Setting
population = population_data.value(country)
series = PhaseSeries("01Apr2020", "01Aug2020", population)
# Last phase when empty
empty_phase = PhaseUnit("31Mar2020", "31Mar2020", population)
assert series.unit(phase="last") == empty_phase
# Add a phase with specified end date: 0th
series.add(end_date="22Apr2020")
# Add a phase with specified population value: 1st
with pytest.raises(ValueError):
series.add(end_date="22Apr2020")
series.add(end_date="05May2020", population=int(population * 0.98))
# Add a phase with specified the number of days: 2nd
series.add(days=21)
# Filling past phases and add a future phase: 3rd, 4th
series.add(end_date="01Sep2020")
# Add a future phase: 5th
series.add(days=30)
# Summary
df = series.summary()
base_cols = [Term.TENSE, Term.START, Term.END, Term.N]
assert set(df.columns) == set(base_cols)
assert series.to_dict()["0th"]["Type"] == Term.PAST
first_len = len(df)
assert set(df.loc["3rd", :].tolist()) == set(
[Term.PAST, "27May2020", "01Aug2020", 123998518])
assert set(df.loc["4th", :].tolist()) == set(
[Term.FUTURE, "02Aug2020", "01Sep2020", 123998518])
# Disable/enable a phase
series.disable("0th")
assert "0th" not in series.to_dict()
assert len(series) == first_len - 1
assert len([unit for unit in series]) == first_len
assert len([unit for unit in series if unit]) == first_len - 1
series.enable("0th")
assert "0th" in series.to_dict()
assert len(series) == first_len
# Clear future phases: 4th and 5th will be deleted
series.clear(include_past=False)
assert "4th" not in series.to_dict()
assert len(series) == first_len - 2
assert series
# Clear all phases
series.clear(include_past=True)
assert len(series) == 0
assert not series
# Filling past phases: 0th
series.add()
assert len(series) == 1
# Last phase
assert series.unit(phase="last")