Bump ty from 0.0.62 to 0.0.66

app/flaky_tests.py

@@ -219,7 +219,7 @@ def extract_browser(test_name: str) -> str | None:
     line_chart = (
         alt.Chart(workflow_daily_df)
         .mark_line(point=True)
-        .encode(
+        .encode(  # ty: ignore[unresolved-attribute]
             x=alt.X("date:T", title="Date", axis=alt.Axis(format="%b %d")),
             y=alt.Y(
                 "rolling_avg:Q",
@@ -247,7 +247,10 @@ def extract_browser(test_name: str) -> str | None:
             strokeWidth=1,
             color="red",
         )
-        .encode(y="y:Q", tooltip=[alt.Tooltip("y:Q", title="Overall Average", format=".1%")])
+        .encode(  # ty: ignore[unresolved-attribute]
+            y="y:Q",
+            tooltip=[alt.Tooltip("y:Q", title="Overall Average", format=".1%")],
+        )
     )
 
     # Combine the charts

app/frontend_bundle_analysis.py

@@ -702,7 +702,7 @@ def create_trend_chart(df: pd.DataFrame, metric_suffix: str, title: str) -> alt.
     chart = (
         alt.Chart(chart_data)
         .mark_line(point=True)
-        .encode(
+        .encode(  # ty: ignore[unresolved-attribute]
             x=alt.X("created_at", title="Date"),
             y=alt.Y("Size", title="Size (Bytes)"),
             color="Category",

app/open_issues.py

@@ -381,7 +381,7 @@ def create_horizontal_bar_chart(data_df: pd.DataFrame, title: str, x_field: str,
                         cornerRadiusBottomRight=3,
                         height=bar_height,
                     )
-                    .encode(
+                    .encode(  # ty: ignore[unresolved-attribute]
                         x=alt.X(f"{x_field}:Q", title="Count"),
                         y=alt.Y(
                             f"{y_field}:N",

app/perf/lighthouse_runs.py

@@ -145,7 +145,7 @@ def get_lighthouse_results(commit_hash: str) -> tuple:
 chart = (
     alt.Chart(df)
     .mark_point()
-    .encode(
+    .encode(  # ty: ignore[unresolved-attribute]
         x=alt.X(
             "index:Q",
             # Ensure x-axis shows only integers
@@ -162,7 +162,7 @@ def get_lighthouse_results(commit_hash: str) -> tuple:
 rolling_mean_line = (
     alt.Chart(df)
     .mark_line()
-    .encode(
+    .encode(  # ty: ignore[unresolved-attribute]
         x=alt.X(
             "index:Q",
             # Ensure x-axis shows only integers

app/perf/lighthouse_single_run.py

@@ -78,7 +78,7 @@ def get_and_extract_performance_for_run(run_id: str | int) -> dict:
 chart = (
     alt.Chart(df)
     .mark_point()
-    .encode(
+    .encode(  # ty: ignore[unresolved-attribute]
         x="datetime:T",
         y=alt.Y("score:Q", scale=alt.Scale(domain=[0, 100])),
         color="app_name:N",

pyproject.toml

@@ -48,7 +48,7 @@ default-groups = ["dev"]
 dev = [
   "pytest>=9.0.2",
   "ruff==0.16.0",
-  "ty==0.0.62",
+  "ty==0.0.66",
   "mypy==2.3.0",
   "watchdog",
   "pandas-stubs",