@@ -24,7 +24,7 @@ def test_join_big(small_client, memory_multiplier):
2424 df2_big = df2_big .astype ({"predicate" : "int" })
2525
2626 join = df1_big .merge (df2_big , on = "predicate" , how = "inner" )
27- # dask-expr will drop all columns except the Index for size
27+ # dask.dataframe will drop all columns except the Index for size
2828 # computations, which will optimize itself through merges, e.g.
2929 # shuffling a lot less data than what we want to test
3030 # map_partitions blocks those optimizations
@@ -55,7 +55,7 @@ def test_join_big_small(small_client, memory_multiplier, configure_shuffling):
5555 df_small_pd = df_small .astype ({"predicate" : "int" }).compute ()
5656
5757 join = df_big .merge (df_small_pd , on = "predicate" , how = "inner" )
58- # dask-expr will drop all columns except the Index for size
58+ # dask.dataframe will drop all columns except the Index for size
5959 # computations, which will optimize itself through merges, e.g.
6060 # shuffling a lot less data than what we want to test
6161 # map_partitions blocks those optimizations
@@ -77,7 +77,7 @@ def test_set_index(small_client, persist, memory_multiplier):
7777 if persist :
7878 df_big = df_big .persist ()
7979 df_indexed = df_big .set_index ("0" )
80- # dask-expr will drop all columns except the Index for size
80+ # dask.dataframe will drop all columns except the Index for size
8181 # computations, which will optimize itself through set_index, e.g.
8282 # shuffling a lot less data than what we want to test
8383 # map_partitions blocks those optimizations
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