Merge branch 'branch-24.12' into tst/deterministic

python/dask_cudf/dask_cudf/io/parquet.py

@@ -5,6 +5,8 @@
 from dask_expr.io.io import FusedParquetIO
 from dask_expr.io.parquet import FragmentWrapper, ReadParquetPyarrowFS
 
+from dask._task_spec import Task
+
 import cudf
 
 from dask_cudf import _deprecated_api
@@ -19,7 +21,7 @@ def _load_multiple_files(
         frag_filters,
         columns,
         schema,
-        *to_pandas_args,
+        **to_pandas_kwargs,
     ):
         import pyarrow as pa
 
@@ -46,7 +48,7 @@ def _load_multiple_files(
         )
         return CudfReadParquetPyarrowFS._table_to_pandas(
             get(dsk, name),
-            *to_pandas_args,
+            **to_pandas_kwargs,
         )
 
 
@@ -89,7 +91,7 @@ def _table_to_pandas(table, index_name):
             df = df.set_index(index_name)
         return df
 
-    def _filtered_task(self, index: int):
+    def _filtered_task(self, name, index: int):
         columns = self.columns.copy()
         index_name = self.index.name
         if self.index is not None:
@@ -99,16 +101,20 @@ def _filtered_task(self, index: int):
             if columns is None:
                 columns = list(schema.names)
             columns.append(index_name)
-        return (
+        return Task(
+            name,
             self._table_to_pandas,
-            (
+            Task(
+                None,
                 self._fragment_to_table,
-                FragmentWrapper(self.fragments[index], filesystem=self.fs),
-                self.filters,
-                columns,
-                schema,
+                fragment_wrapper=FragmentWrapper(
+                    self.fragments[index], filesystem=self.fs
+                ),
+                filters=self.filters,
+                columns=columns,
+                schema=schema,
             ),
-            index_name,
+            index_name=index_name,
         )
 
     def _tune_up(self, parent):