updated some tests

pyfacts/pyfacts.py

@@ -809,6 +809,7 @@ class TimeSeries(TimeSeriesCore):
         to_frequency: Literal["W", "M", "Q", "H", "Y"],
         method: Literal["sum", "mean"],
         eomonth: bool = False,
+        ensure_coverage: bool = True,
         anchor_date=Literal["start", "end"],
     ) -> TimeSeries:
         """Transform a time series object into a lower frequency object with an aggregation function.
@@ -851,7 +852,7 @@ class TimeSeries(TimeSeriesCore):
             self.start_date,
             self.end_date,  # + relativedelta(days=to_frequency.days),
             to_frequency.symbol,
-            ensure_coverage=True,
+            ensure_coverage=ensure_coverage,
             eomonth=eomonth,
         )
         # prev_date = dates[0]

setup.py

@@ -2,6 +2,7 @@ from setuptools import find_packages, setup
 
 license = open("LICENSE").read().strip()
 
+
 setup(
     name="pyfacts",
     version="0.0.1",

tests/test_pyfacts.py

@@ -374,7 +374,7 @@ class TestTransform:
     def test_daily_to_weekly(self, create_test_data):
         ts_data = create_test_data(AllFrequencies.D, num=782, skip_weekends=True)
         ts = TimeSeries(ts_data, "D")
-        tst = ts.transform("W", "mean")
+        tst = ts.transform("W", "mean", ensure_coverage=False)
         assert isinstance(tst, TimeSeries)
         assert len(tst) == 157
         assert "2017-01-30" in tst