def test_draw_countdowns_single_row(params):
states = pd.DataFrame(index=range(10))
single_row = params.loc["cd_infectious_true"]
res = _draw_countdowns(states=states, param_slice=single_row)
expected = pd.Series(
3, index=range(10), dtype=np.int32 # this is the value in the single_row
)
assert_series_equal(left=expected, right=res)
def test_draw_countdowns_deterministic():
states = pd.DataFrame(index=range(10))
params = pd.DataFrame()
params["value"] = [0, 1]
params["subcategory"] = ["all", "all"]
params["name"] = [2, 5]
params.set_index(["subcategory", "name"], inplace=True)
res = _draw_countdowns(states=states, param_slice=params)
expected = pd.Series(5, index=range(10), dtype=np.int32)
assert_series_equal(left=expected, right=res)
def test_draw_countdowns_single_row(params):
states = pd.DataFrame(index=range(10))
single_row = params.loc["cd_infectious_true"]
res = _draw_countdowns(states, single_row)
expected = pd.Series(
3,
index=range(10),
dtype=DTYPE_DRAW_COURSE_OF_DISEASE,
)
assert_series_equal(left=expected, right=res)
def test_draw_countdowns_no_age_variance():
states = pd.DataFrame(index=range(4))
params = pd.DataFrame()
params["value"] = [0.4, 0.5, 0.1]
params["name"] = [-1, 1, 2]
params["subcategory"] = "all"
params.set_index(["subcategory", "name"], inplace=True)
np.random.seed(42091)
res = _draw_countdowns(states=states, param_slice=params)
expected = pd.Series([1, 1, -1, 1], index=range(4), dtype=np.int32)
assert_series_equal(left=expected, right=res)
def test_draw_countdowns_deterministic():
states = pd.DataFrame(index=range(10))
params = pd.DataFrame({
"value": [0, 1],
"subcategory": ["all", "all"],
"name": [2, 5]
}).set_index(["subcategory", "name"])
res = _draw_countdowns(states, params)
expected = pd.Series(5,
index=range(10),
dtype=DTYPE_DRAW_COURSE_OF_DISEASE)
assert_series_equal(left=expected, right=res)
def test_draw_countdowns_age_variant():
age_cats = ["young", "old", "young", "young", "old"]
states = pd.Series(age_cats, name="age_group").to_frame()
params = pd.DataFrame()
params["value"] = [0.8, 0.2, 0.2, 0.3, 0.5]
params["name"] = [-1, 1, 0, 2, 5]
params["subcategory"] = ["young", "young", "old", "old", "old"]
params.set_index(["subcategory", "name"], inplace=True)
expected = pd.Series([-1, 5, -1, -1, 5], dtype=np.int32)
np.random.seed(34981)
res = _draw_countdowns(states=states, param_slice=params)
assert_series_equal(left=expected, right=res)
def test_draw_countdowns_age_variant():
states = pd.DataFrame(
{"age_group": ["young", "old", "young", "young", "old"]})
params = pd.DataFrame({
"value": [0.8, 0.2, 0.2, 0.3, 0.5],
"name": [-1, 1, 0, 2, 5],
"subcategory": ["young", "young", "old", "old", "old"],
}).set_index(["subcategory", "name"])
expected = pd.Series([-1, 5, -1, -1, 5],
dtype=DTYPE_DRAW_COURSE_OF_DISEASE)
np.random.seed(34981)
res = _draw_countdowns(states, params)
assert_series_equal(left=expected, right=res)
def test_draw_countdowns_no_age_variance():
states = pd.DataFrame(index=range(4))
params = pd.DataFrame({
"value": [0.4, 0.5, 0.1],
"name": [-1, 1, 2],
"subcategory": "all"
}).set_index(["subcategory", "name"])
np.random.seed(42091)
res = _draw_countdowns(states, params)
expected = pd.Series([1, 1, -1, 1],
index=range(4),
dtype=DTYPE_DRAW_COURSE_OF_DISEASE)
assert_series_equal(left=expected, right=res)