Update mypy and remove now-unnecessary type-ignores

Author: trey-stafford

pyproject.toml

@@ -47,7 +47,7 @@ Changelog = "https://github.com/NSIDC/iceflow/releases"
 dev = [
   "bump-my-version",
   "invoke",
-  "mypy >=1.11.1",
+  "mypy >=1.15.0",
   "pandas-stubs >=2.2",
   "pre-commit",
   "pytest",

src/nsidc/iceflow/api.py

@@ -108,16 +108,16 @@ def make_iceflow_parquet(
         short_name, version = subdir.name.split("_")
         iceflow_df["dataset"] = [f"{short_name}v{version}"] * len(iceflow_df.latitude)
         common_columns = ["latitude", "longitude", "elevation", "dataset"]
-        common_dask_df = dd.from_pandas(iceflow_df[common_columns])  # type: ignore[attr-defined]
+        common_dask_df = dd.from_pandas(iceflow_df[common_columns])
         if parquet_subdir.exists():
-            dd.to_parquet(  # type: ignore[attr-defined]
+            dd.to_parquet(
                 df=common_dask_df,
                 path=parquet_subdir,
                 append=True,
                 ignore_divisions=True,
             )
         else:
-            dd.to_parquet(  # type: ignore[attr-defined]
+            dd.to_parquet(
                 df=common_dask_df,
                 path=parquet_subdir,
             )

tests/integration/test_e2e.py

@@ -213,7 +213,7 @@ def test_create_iceflow_parquet(tmp_path):
         target_itrf=target_itrf,
     )
 
-    df = dd.read_parquet(parquet_path)  # type: ignore[attr-defined]
+    df = dd.read_parquet(parquet_path)
 
     # Assert that the parquet data has the expected columns
     expected_columns = sorted(["latitude", "longitude", "elevation", "dataset"])