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activitysim/abm/models/util/test/test_person_available_periods.py
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# ActivitySim | ||
# See full license in LICENSE.txt. | ||
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import pandas as pd | ||
import pandas.testing as pdt | ||
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from activitysim.abm.models.util.overlap import person_available_periods | ||
from activitysim.core import workflow | ||
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def test_person_available_periods(): | ||
state = workflow.State.make_default(__file__) | ||
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# state.add_injectable("timetable", timetable) | ||
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persons = pd.DataFrame(index=[1, 2, 3, 4]) | ||
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state.add_table("persons", persons) | ||
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timetable = state.get_injectable("timetable") | ||
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# first testing scenario with no tours assigned | ||
all_open = person_available_periods( | ||
state, persons, start_bin=None, end_bin=None, continuous=False | ||
) | ||
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all_open_expected = pd.Series([19, 19, 19, 19], index=[1, 2, 3, 4]) | ||
pdt.assert_series_equal(all_open, all_open_expected, check_dtype=False) | ||
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# adding tours to the timetable | ||
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tours = pd.DataFrame( | ||
{ | ||
"person_id": [1, 1, 2, 2, 3, 4], | ||
"tour_num": [1, 2, 1, 2, 1, 1], | ||
"start": [5, 10, 5, 20, 10, 20], | ||
"end": [6, 14, 18, 21, 23, 23], | ||
"tdds": [1, 89, 13, 181, 98, 183], | ||
}, | ||
index=[1, 2, 3, 4, 5, 6], | ||
) | ||
# timetable.assign requires only 1 tour per person, so need to loop through tour nums | ||
for tour_num, nth_tours in tours.groupby("tour_num", sort=True): | ||
timetable.assign( | ||
window_row_ids=nth_tours["person_id"], | ||
tdds=nth_tours.tdds, | ||
) | ||
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# testing time bins now available | ||
tours_all_bins = person_available_periods( | ||
state, persons, start_bin=None, end_bin=None, continuous=False | ||
) | ||
tours_all_bins_expected = pd.Series([16, 7, 7, 17], index=[1, 2, 3, 4]) | ||
pdt.assert_series_equal(tours_all_bins, tours_all_bins_expected, check_dtype=False) | ||
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# continuous time bins available | ||
continuous_test = person_available_periods( | ||
state, persons, start_bin=None, end_bin=None, continuous=True | ||
) | ||
continuous_test_expected = pd.Series([10, 6, 6, 16], index=[1, 2, 3, 4]) | ||
pdt.assert_series_equal( | ||
continuous_test, continuous_test_expected, check_dtype=False | ||
) | ||
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# start bin test | ||
start_test = person_available_periods( | ||
state, persons, start_bin=11, end_bin=None, continuous=True | ||
) | ||
start_test_expected = pd.Series([8, 6, 1, 5], index=[1, 2, 3, 4]) | ||
pdt.assert_series_equal(start_test, start_test_expected, check_dtype=False) | ||
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# end bin test | ||
end_test = person_available_periods( | ||
state, persons, start_bin=None, end_bin=11, continuous=False | ||
) | ||
end_test_expected = pd.Series([9, 1, 6, 12], index=[1, 2, 3, 4]) | ||
pdt.assert_series_equal(end_test, end_test_expected, check_dtype=False) | ||
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# assortment settings test | ||
assortment_test = person_available_periods( | ||
state, persons, start_bin=8, end_bin=15, continuous=True | ||
) | ||
assortment_test_expected = pd.Series([7, 3, 0, 8], index=[1, 2, 3, 4]) | ||
pdt.assert_series_equal( | ||
assortment_test, assortment_test_expected, check_dtype=False | ||
) | ||
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if "__main__" == __name__: | ||
test_person_available_periods() |