fix the anomaly in netcdf file loading via moving from path to files …

…for importlib resources

forecasttools/__init__.py

@@ -28,41 +28,52 @@
 )
 
 # location table (from Census data)
-with importlib.resources.path(
-    __package__, "location_table.parquet"
-) as data_path:
-    location_table = pl.read_parquet(data_path)
+location_table_path = importlib.resources.files(__package__).joinpath(
+    "location_table.parquet"
+)
+location_table = pl.read_parquet(str(location_table_path))
 
 # load example flusight submission
-with importlib.resources.path(
-    __package__, "example_flusight_submission.parquet"
-) as data_path:
-    dtypes_d = {"location": pl.Utf8}
-    example_flusight_submission = pl.read_parquet(data_path)
+example_flusight_submission_path = importlib.resources.files(
+    __package__
+).joinpath("example_flusight_submission.parquet")
+dtypes_d = {"location": pl.Utf8}
+example_flusight_submission = pl.read_parquet(
+    str(example_flusight_submission_path)
+)
 
-# load example fitting data for COVID (NHSN, as of 2024-09-26)
-with importlib.resources.path(
-    __package__, "nhsn_hosp_COVID.parquet"
-) as data_path:
-    nhsn_hosp_COVID = pl.read_parquet(data_path)
+# load example fitting data for COVID
+# (NHSN, as of 2024-09-26)
+nhsn_hosp_COVID_path = importlib.resources.files(__package__).joinpath(
+    "nhsn_hosp_COVID.parquet"
+)
+nhsn_hosp_COVID = pl.read_parquet(str(nhsn_hosp_COVID_path))
 
-# load example fitting data for influenza (NHSN, as of 2024-09-26)
-with importlib.resources.path(
-    __package__, "nhsn_hosp_flu.parquet"
-) as data_path:
-    nhsn_hosp_flu = pl.read_parquet(data_path)
+# load example fitting data for influenza
+# (NHSN, as of 2024-09-26)
+nhsn_hosp_flu_path = importlib.resources.files(__package__).joinpath(
+    "nhsn_hosp_flu.parquet"
+)
+nhsn_hosp_flu = pl.read_parquet(str(nhsn_hosp_flu_path))
 
-# load light idata NHSN influenza forecast (NHSN, as of 2024-09-26)
-with importlib.resources.path(
-    __package__, "example_flu_forecast_wo_dates.nc"
-) as data_path:
-    nhsn_flu_forecast_wo_dates = az.from_netcdf(data_path)
+# load idata NHSN influenza forecast
+# (NHSN, as of 2024-09-26) without dates
+example_flu_forecast_wo_dates_path = importlib.resources.files(
+    __package__
+).joinpath("example_flu_forecast_wo_dates.nc")
+nhsn_flu_forecast_wo_dates = az.from_netcdf(
+    str(example_flu_forecast_wo_dates_path)
+)
 
+# load idata NHSN influenza forecast
+# (NHSN, as of 2024-09-26) with dates
+example_flu_forecast_w_dates_path = importlib.resources.files(
+    __package__
+).joinpath("example_flu_forecast_w_dates.nc")
+nhsn_flu_forecast_w_dates = az.from_netcdf(
+    str(example_flu_forecast_w_dates_path)
+)
 
-with importlib.resources.path(
-    __package__, "example_flu_forecast_w_dates.nc"
-) as data_path:
-    nhsn_flu_forecast_w_dates = az.from_netcdf(data_path)
 
 __all__ = [
     "location_table",