def test_get_pivots_by_invalid_unit():
with pytest.raises(ValueError,
match=r".*invalid_unit.*is not supported.*"):
pivots = get_pivots(observations=[],
pivot_interval=1,
start_date=2015.0,
end_date=2016.0,
pivot_interval_units="invalid_unit")
def test_get_pivots_by_weeks():
"""Get pivots where intervals are defined as weeks instead of months.
"""
pivots = get_pivots(observations=[],
pivot_interval=1,
start_date=2015.0,
end_date=2016.0,
pivot_interval_units="weeks")
assert len(pivots) == 52
def test_get_pivots_from_tree_only(tree):
"""Test pivot calculations.
"""
# Define pivot frequency in months.
pivot_frequency = 3
observations = [tip.attr["num_date"] for tip in tree.get_terminals()]
pivots = get_pivots(observations, pivot_frequency)
assert isinstance(pivots, np.ndarray)
# Floating point pivot values should be separated by the given number of
# months divided by number of months in a year.
assert pivots[1] - pivots[0] == pivot_frequency / 12.0
def test_get_pivots_from_tree_only(tree):
"""Test pivot calculations.
"""
# Define pivot frequency in months.
pivot_frequency = 3
observations = [tip.attr["num_date"] for tip in tree.get_terminals()]
pivots = get_pivots(observations, pivot_frequency)
assert isinstance(pivots, np.ndarray)
# Floating point pivot values should be separated by the given number of
# months divided by number of months in a year.
assert pivots[1] - pivots[0] == pivot_frequency / 12.0
def test_get_pivots_by_months():
"""Get pivots where intervals are defined by months.
"""
pivots = get_pivots(observations=[],
pivot_interval=1,
start_date=2015.0,
end_date=2016.0,
pivot_interval_units="months")
# Pivots should include all 12 months of the year plus the month represented
# by the end date, since the pandas month interval uses "month starts". See
# pandas date offsets documentation for more details:
# https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases
assert len(pivots) == 13
def test_get_pivots_from_start_and_end_date():
"""
Test pivot calculation from a given start and end date instead of a given tree.
"""
pivot_frequency = 3
start_date = 2015.5
end_date = 2018.5
observations = []
pivots = get_pivots(observations, pivot_frequency, start_date=start_date, end_date=end_date)
assert isinstance(pivots, np.ndarray)
assert pivots[1] - pivots[0] == pivot_frequency / 12.0
assert pivots[0] == start_date
assert pivots[-1] == end_date
assert pivots[-1] >= end_date - pivot_frequency
def test_get_pivots_from_start_and_end_date():
"""
Test pivot calculation from a given start and end date instead of a given tree.
"""
pivot_frequency = 3
start_date = 2015.5
end_date = 2018.5
observations = []
pivots = get_pivots(observations,
pivot_frequency,
start_date=start_date,
end_date=end_date)
assert isinstance(pivots, np.ndarray)
assert pivots[1] - pivots[0] == pivot_frequency / 12.0
assert pivots[0] == start_date
assert pivots[-1] == end_date
assert pivots[-1] >= end_date - pivot_frequency
def test_get_pivots_from_start_and_end_date():
"""
Test pivot calculation from a given start and end date instead of a given tree
First pivot is the first day of the month immediately following start_date
Last pivot is the first day of the month immediately preceding end_date
Current logic converts numeric date 2015.5 to 2015-07-02, hence using 2015.49
"""
pivot_frequency = 1
start_date = 2015.49
end_date = 2018.5
observations = []
pivots = get_pivots(observations,
pivot_frequency,
start_date=start_date,
end_date=end_date)
assert isinstance(pivots, np.ndarray)
assert np.round(12 * (pivots[1] - pivots[0])) == pivot_frequency
assert pivots[0] == 2015.5
assert pivots[-1] == 2018.5
assert pivots[-1] >= end_date - pivot_frequency