Inzynierka/Lib/site-packages/pandas/tests/tseries/holiday/test_holiday.py

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2023-06-02 12:51:02 +02:00
from datetime import datetime
import pytest
from pytz import utc
from pandas import DatetimeIndex
import pandas._testing as tm
from pandas.tseries.holiday import (
MO,
SA,
AbstractHolidayCalendar,
DateOffset,
EasterMonday,
GoodFriday,
Holiday,
HolidayCalendarFactory,
Timestamp,
USColumbusDay,
USLaborDay,
USMartinLutherKingJr,
USMemorialDay,
USPresidentsDay,
USThanksgivingDay,
get_calendar,
next_monday,
)
@pytest.mark.parametrize(
"holiday,start_date,end_date,expected",
[
(
USMemorialDay,
datetime(2011, 1, 1),
datetime(2020, 12, 31),
[
datetime(2011, 5, 30),
datetime(2012, 5, 28),
datetime(2013, 5, 27),
datetime(2014, 5, 26),
datetime(2015, 5, 25),
datetime(2016, 5, 30),
datetime(2017, 5, 29),
datetime(2018, 5, 28),
datetime(2019, 5, 27),
datetime(2020, 5, 25),
],
),
(
Holiday("July 4th Eve", month=7, day=3),
"2001-01-01",
"2003-03-03",
[Timestamp("2001-07-03 00:00:00"), Timestamp("2002-07-03 00:00:00")],
),
(
Holiday("July 4th Eve", month=7, day=3, days_of_week=(0, 1, 2, 3)),
"2001-01-01",
"2008-03-03",
[
Timestamp("2001-07-03 00:00:00"),
Timestamp("2002-07-03 00:00:00"),
Timestamp("2003-07-03 00:00:00"),
Timestamp("2006-07-03 00:00:00"),
Timestamp("2007-07-03 00:00:00"),
],
),
(
EasterMonday,
datetime(2011, 1, 1),
datetime(2020, 12, 31),
[
Timestamp("2011-04-25 00:00:00"),
Timestamp("2012-04-09 00:00:00"),
Timestamp("2013-04-01 00:00:00"),
Timestamp("2014-04-21 00:00:00"),
Timestamp("2015-04-06 00:00:00"),
Timestamp("2016-03-28 00:00:00"),
Timestamp("2017-04-17 00:00:00"),
Timestamp("2018-04-02 00:00:00"),
Timestamp("2019-04-22 00:00:00"),
Timestamp("2020-04-13 00:00:00"),
],
),
(
GoodFriday,
datetime(2011, 1, 1),
datetime(2020, 12, 31),
[
Timestamp("2011-04-22 00:00:00"),
Timestamp("2012-04-06 00:00:00"),
Timestamp("2013-03-29 00:00:00"),
Timestamp("2014-04-18 00:00:00"),
Timestamp("2015-04-03 00:00:00"),
Timestamp("2016-03-25 00:00:00"),
Timestamp("2017-04-14 00:00:00"),
Timestamp("2018-03-30 00:00:00"),
Timestamp("2019-04-19 00:00:00"),
Timestamp("2020-04-10 00:00:00"),
],
),
(
USThanksgivingDay,
datetime(2011, 1, 1),
datetime(2020, 12, 31),
[
datetime(2011, 11, 24),
datetime(2012, 11, 22),
datetime(2013, 11, 28),
datetime(2014, 11, 27),
datetime(2015, 11, 26),
datetime(2016, 11, 24),
datetime(2017, 11, 23),
datetime(2018, 11, 22),
datetime(2019, 11, 28),
datetime(2020, 11, 26),
],
),
],
)
def test_holiday_dates(holiday, start_date, end_date, expected):
assert list(holiday.dates(start_date, end_date)) == expected
# Verify that timezone info is preserved.
assert list(
holiday.dates(
utc.localize(Timestamp(start_date)), utc.localize(Timestamp(end_date))
)
) == [utc.localize(dt) for dt in expected]
@pytest.mark.parametrize(
"holiday,start,expected",
[
(USMemorialDay, datetime(2015, 7, 1), []),
(USMemorialDay, "2015-05-25", [Timestamp("2015-05-25")]),
(USLaborDay, datetime(2015, 7, 1), []),
(USLaborDay, "2015-09-07", [Timestamp("2015-09-07")]),
(USColumbusDay, datetime(2015, 7, 1), []),
(USColumbusDay, "2015-10-12", [Timestamp("2015-10-12")]),
(USThanksgivingDay, datetime(2015, 7, 1), []),
(USThanksgivingDay, "2015-11-26", [Timestamp("2015-11-26")]),
(USMartinLutherKingJr, datetime(2015, 7, 1), []),
(USMartinLutherKingJr, "2015-01-19", [Timestamp("2015-01-19")]),
(USPresidentsDay, datetime(2015, 7, 1), []),
(USPresidentsDay, "2015-02-16", [Timestamp("2015-02-16")]),
(GoodFriday, datetime(2015, 7, 1), []),
(GoodFriday, "2015-04-03", [Timestamp("2015-04-03")]),
(EasterMonday, "2015-04-06", [Timestamp("2015-04-06")]),
(EasterMonday, datetime(2015, 7, 1), []),
(EasterMonday, "2015-04-05", []),
("New Year's Day", "2015-01-01", [Timestamp("2015-01-01")]),
("New Year's Day", "2010-12-31", [Timestamp("2010-12-31")]),
("New Year's Day", datetime(2015, 7, 1), []),
("New Year's Day", "2011-01-01", []),
("Independence Day", "2015-07-03", [Timestamp("2015-07-03")]),
("Independence Day", datetime(2015, 7, 1), []),
("Independence Day", "2015-07-04", []),
("Veterans Day", "2012-11-12", [Timestamp("2012-11-12")]),
("Veterans Day", datetime(2015, 7, 1), []),
("Veterans Day", "2012-11-11", []),
("Christmas Day", "2011-12-26", [Timestamp("2011-12-26")]),
("Christmas Day", datetime(2015, 7, 1), []),
("Christmas Day", "2011-12-25", []),
("Juneteenth National Independence Day", "2020-06-19", []),
(
"Juneteenth National Independence Day",
"2021-06-18",
[Timestamp("2021-06-18")],
),
("Juneteenth National Independence Day", "2022-06-19", []),
(
"Juneteenth National Independence Day",
"2022-06-20",
[Timestamp("2022-06-20")],
),
],
)
def test_holidays_within_dates(holiday, start, expected):
# see gh-11477
#
# Fix holiday behavior where holiday.dates returned dates outside
# start/end date, or observed rules could not be applied because the
# holiday was not in the original date range (e.g., 7/4/2015 -> 7/3/2015).
if isinstance(holiday, str):
calendar = get_calendar("USFederalHolidayCalendar")
holiday = calendar.rule_from_name(holiday)
assert list(holiday.dates(start, start)) == expected
# Verify that timezone info is preserved.
assert list(
holiday.dates(utc.localize(Timestamp(start)), utc.localize(Timestamp(start)))
) == [utc.localize(dt) for dt in expected]
@pytest.mark.parametrize(
"transform", [lambda x: x.strftime("%Y-%m-%d"), lambda x: Timestamp(x)]
)
def test_argument_types(transform):
start_date = datetime(2011, 1, 1)
end_date = datetime(2020, 12, 31)
holidays = USThanksgivingDay.dates(start_date, end_date)
holidays2 = USThanksgivingDay.dates(transform(start_date), transform(end_date))
tm.assert_index_equal(holidays, holidays2)
@pytest.mark.parametrize(
"name,kwargs",
[
("One-Time", {"year": 2012, "month": 5, "day": 28}),
(
"Range",
{
"month": 5,
"day": 28,
"start_date": datetime(2012, 1, 1),
"end_date": datetime(2012, 12, 31),
"offset": DateOffset(weekday=MO(1)),
},
),
],
)
def test_special_holidays(name, kwargs):
base_date = [datetime(2012, 5, 28)]
holiday = Holiday(name, **kwargs)
start_date = datetime(2011, 1, 1)
end_date = datetime(2020, 12, 31)
assert base_date == holiday.dates(start_date, end_date)
def test_get_calendar():
class TestCalendar(AbstractHolidayCalendar):
rules = []
calendar = get_calendar("TestCalendar")
assert TestCalendar == type(calendar)
def test_factory():
class_1 = HolidayCalendarFactory(
"MemorialDay", AbstractHolidayCalendar, USMemorialDay
)
class_2 = HolidayCalendarFactory(
"Thanksgiving", AbstractHolidayCalendar, USThanksgivingDay
)
class_3 = HolidayCalendarFactory("Combined", class_1, class_2)
assert len(class_1.rules) == 1
assert len(class_2.rules) == 1
assert len(class_3.rules) == 2
def test_both_offset_observance_raises():
# see gh-10217
msg = "Cannot use both offset and observance"
with pytest.raises(NotImplementedError, match=msg):
Holiday(
"Cyber Monday",
month=11,
day=1,
offset=[DateOffset(weekday=SA(4))],
observance=next_monday,
)
def test_half_open_interval_with_observance():
# Prompted by GH 49075
# Check for holidays that have a half-open date interval where
# they have either a start_date or end_date defined along
# with a defined observance pattern to make sure that the return type
# for Holiday.dates() remains consistent before & after the year that
# marks the 'edge' of the half-open date interval.
holiday_1 = Holiday(
"Arbitrary Holiday - start 2022-03-14",
start_date=datetime(2022, 3, 14),
month=3,
day=14,
observance=next_monday,
)
holiday_2 = Holiday(
"Arbitrary Holiday 2 - end 2022-03-20",
end_date=datetime(2022, 3, 20),
month=3,
day=20,
observance=next_monday,
)
class TestHolidayCalendar(AbstractHolidayCalendar):
rules = [
USMartinLutherKingJr,
holiday_1,
holiday_2,
USLaborDay,
]
start = Timestamp("2022-08-01")
end = Timestamp("2022-08-31")
year_offset = DateOffset(years=5)
expected_results = DatetimeIndex([], dtype="datetime64[ns]", freq=None)
test_cal = TestHolidayCalendar()
date_interval_low = test_cal.holidays(start - year_offset, end - year_offset)
date_window_edge = test_cal.holidays(start, end)
date_interval_high = test_cal.holidays(start + year_offset, end + year_offset)
tm.assert_index_equal(date_interval_low, expected_results)
tm.assert_index_equal(date_window_edge, expected_results)
tm.assert_index_equal(date_interval_high, expected_results)