fixes for new holidays version

featuretools/primitives/standard/transform/datetime/date_to_holiday.py

@@ -33,10 +33,9 @@ class DateToHoliday(TransformPrimitive):
         >>> date_to_holiday_canada = DateToHoliday(country='Canada')
         >>> dates = pd.Series([datetime(2016, 7, 1),
         ...          datetime(2016, 11, 15),
-        ...          datetime(2017, 12, 26),
         ...          datetime(2018, 9, 3)])
         >>> date_to_holiday_canada(dates).tolist()
-        ['Canada Day', nan, 'Boxing Day', 'Labour Day']
+        ['Canada Day', nan, 'Labour Day']
     """
 
     name = "date_to_holiday"

featuretools/primitives/standard/transform/datetime/distance_to_holiday.py

@@ -38,13 +38,13 @@ class DistanceToHoliday(TransformPrimitive):
         We can also control the country in which we're searching for
             a holiday.
 
-        >>> distance_to_holiday = DistanceToHoliday("Victoria Day", country='Canada')
+        >>> distance_to_holiday = DistanceToHoliday("Canada Day", country='Canada')
         >>> dates = [datetime(2010, 1, 1),
         ...          datetime(2012, 5, 31),
         ...          datetime(2017, 7, 31),
         ...          datetime(2020, 12, 31)]
         >>> distance_to_holiday(dates).tolist()
-        [143, -10, -70, 144]
+        [181, 31, -30, 182]
     """
 
     name = "distance_to_holiday"

featuretools/tests/primitive_tests/test_feature_serialization.py

@@ -462,7 +462,7 @@ def test_deserializer_uses_common_primitive_instances_with_args(es, tmp_path):
     # Test primitive with multiple args - pandas only due to primitive compatibility
     if es.dataframe_type == Library.PANDAS:
         distance_to_holiday = DistanceToHoliday(
-            holiday="Victoria Day",
+            holiday="Canada Day",
             country="Canada",
         )
         features = dfs(
@@ -491,7 +491,7 @@ def test_deserializer_uses_common_primitive_instances_with_args(es, tmp_path):
         assert all(
             [f.primitive is new_distance_primitive for f in new_distance_features],
         )
-        assert new_distance_primitive.holiday == "Victoria Day"
+        assert new_distance_primitive.holiday == "Canada Day"
         assert new_distance_primitive.country == "Canada"
 
     # Test primitive with list arg

featuretools/tests/primitive_tests/transform_primitive_tests/test_datetoholiday_primitive.py

@@ -54,11 +54,10 @@ def test_valid_country():
         [
             "2016-07-01",
             "2016-11-11",
-            "2017-12-26",
             "2018-09-03",
         ],
     ).astype("datetime64[ns]")
-    answer = ["Canada Day", np.nan, "Boxing Day", "Labour Day"]
+    answer = ["Canada Day", np.nan, "Labour Day"]
     given_answer = date_to_holiday(case).astype("str")
     np.testing.assert_array_equal(given_answer, answer)
 

featuretools/tests/primitive_tests/transform_primitive_tests/test_distancetoholiday_primitive.py

@@ -1,10 +1,8 @@
 from datetime import datetime
 
-import holidays
 import numpy as np
 import pandas as pd
 import pytest
-from packaging.version import parse
 
 from featuretools.primitives import DistanceToHoliday
 
@@ -25,35 +23,6 @@ def test_distanceholiday():
     np.testing.assert_array_equal(output, expected)
 
 
-def test_holiday_out_of_range():
-    date_to_holiday = DistanceToHoliday("Boxing Day", country="Canada")
-
-    array = pd.Series(
-        [
-            datetime(2010, 1, 1),
-            datetime(2012, 5, 31),
-            datetime(2017, 7, 31),
-            datetime(2020, 12, 31),
-        ],
-    )
-    days_to_boxing_day = -157 if parse(holidays.__version__) >= parse("0.15.0") else 209
-    edge_case_first_day_of_year = (
-        -6 if parse(holidays.__version__) >= parse("0.17.0") else np.nan
-    )
-    edge_case_last_day_of_year = (
-        -5 if parse(holidays.__version__) >= parse("0.17.0") else np.nan
-    )
-    answer = pd.Series(
-        [
-            edge_case_first_day_of_year,
-            days_to_boxing_day,
-            148,
-            edge_case_last_day_of_year,
-        ],
-    )
-    pd.testing.assert_series_equal(date_to_holiday(array), answer, check_names=False)
-
-
 def test_unknown_country_error():
     error_text = r"must be one of the available countries.*"
     with pytest.raises(ValueError, match=error_text):
@@ -82,7 +51,7 @@ def test_nat():
 
 
 def test_valid_country():
-    distance_to_holiday = DistanceToHoliday("Victoria Day", country="Canada")
+    distance_to_holiday = DistanceToHoliday("Canada Day", country="Canada")
     case = pd.Series(
         [
             "2010-01-01",
@@ -91,7 +60,7 @@ def test_valid_country():
             "2020-12-31",
         ],
     ).astype("datetime64[ns]")
-    answer = [143, -10, -70, 144]
+    answer = [181, 31, -30, 182]
     given_answer = distance_to_holiday(case).astype("float")
     np.testing.assert_array_equal(given_answer, answer)
 

featuretools/tests/primitive_tests/transform_primitive_tests/test_is_federal_holiday.py

@@ -46,11 +46,10 @@ def test_valid_country():
         [
             "2016-07-01",
             "2016-11-11",
-            "2017-12-26",
             "2018-09-03",
         ],
     ).astype("datetime64[ns]")
-    answer = pd.Series([True, False, True, True])
+    answer = pd.Series([True, False, True])
     given_answer = pd.Series(primitive_func(case))
     assert given_answer.equals(answer)
 

featuretools/tests/requirement_files/minimum_core_requirements.txt

@@ -1,5 +1,5 @@
 cloudpickle==1.5.0
-holidays==0.13
+holidays==0.17
 numpy==1.21.0
 packaging==20.0
 pandas==1.5.0

pyproject.toml

@@ -31,7 +31,7 @@ license = {text = "BSD 3-clause"}
 requires-python = ">=3.8,<4"
 dependencies = [
     "cloudpickle >= 1.5.0",
-    "holidays >= 0.13, < 0.33",
+    "holidays >= 0.17",
     "numpy >= 1.21.0",
     "packaging >= 20.0",
     "pandas >= 1.5.0",