def test_dedup_holiday_dict():
"""Tests dedup_holiday_dict"""
countries = ["UnitedStates", "UnitedKingdom", "India",
"France", "Ireland"]
year_start = 2019
year_end = 2020
# retrieves separate DataFrame for each country, with list of holidays
holidays_dict = get_holidays(
countries,
year_start=year_start,
year_end=year_end)
# merges country DataFrames, removes duplicate holidays
holiday_df = dedup_holiday_dict(holidays_dict)
assert not holiday_df.duplicated().any()
# ensure all country holidays are included
for country, country_df in holidays_dict.items():
joined = country_df.merge(holiday_df, on=[EVENT_DF_DATE_COL, EVENT_DF_LABEL_COL])
assert joined.shape[0] == country_df.shape[0] # checks if all values are contained in holiday_df
def test_generate_holiday_events2():
"""Tests proper handling of pre_num = 0 and post_num = 0"""
countries = ["UnitedStates", "UnitedKingdom", "India", "France"]
year_start = 2019
year_end = 2020
holidays_to_model_separately = [
"New Year's Day",
"Christmas Day",
"Independence Day",
"Thanksgiving",
"Labor Day",
"Good Friday",
"Easter Monday [England, Wales, Northern Ireland]",
"Memorial Day",
"Veterans Day"]
daily_event_df_dict1 = generate_holiday_events(
countries=countries,
holidays_to_model_separately=holidays_to_model_separately,
year_start=year_start,
year_end=year_end,
pre_num=0,
post_num=0)
holidays_dict = get_holidays(
countries,
year_start=year_start,
year_end=year_end)
# merges country DataFrames, removes duplicate holidays
holiday_df = dedup_holiday_dict(holidays_dict)
# creates separate DataFrame for each holiday
daily_event_df_dict2 = split_events_into_dictionaries(
holiday_df,
holidays_to_model_separately)
assert daily_event_df_dict1.keys() == daily_event_df_dict2.keys()