Ruff C417: changed map() to comprehensions and generator where possible

Author: evertlammerts

tests/fast/arrow/test_7652.py

@@ -35,7 +35,7 @@ def test_7652(self, duckdb_cursor):
 
         # Attempt to perform the same thing with duckdb.
         print("Retrieving from duckdb")
-        duckdb_result = list(map(lambda v: v[0], duckdb_cursor.sql(f"select * from '{temp_file_name}'").fetchall()))
+        duckdb_result = [v[0] for v in duckdb_cursor.sql(f"select * from '{temp_file_name}'").fetchall()]
 
         print("DuckDB result:", duckdb_result)
         assert min(duckdb_result) == min(generated_list)

tests/fast/relational_api/test_rapi_aggregations.py

@@ -321,7 +321,7 @@ def test_quantile_cont(self, table):
         assert len(result) == len(expected)
         assert all(r == e for r, e in zip(result, expected))
         result = [
-            list(map(lambda x: round(x, 2), r[0])) for r in table.quantile_cont("v", q=[0.1, 0.5]).execute().fetchall()
+            [round(x, 2) for x in r[0]] for r in table.quantile_cont("v", q=[0.1, 0.5]).execute().fetchall()
         ]
         expected = [[0.2, 2.0]]
         assert len(result) == len(expected)
@@ -331,7 +331,7 @@ def test_quantile_cont(self, table):
         assert len(result) == len(expected)
         assert all(r == e for r, e in zip(result, expected))
         result = [
-            (r[0], list(map(lambda x: round(x, 2), r[1])))
+            (r[0], [round(x, 2) for x in r[1]])
             for r in table.quantile_cont("v", q=[0.2, 0.5], groups="id", projected_columns="id")
             .order("id")
             .execute()

tests/fast/relational_api/test_rapi_windows.py

@@ -680,7 +680,7 @@ def test_quantile_cont(self, table):
         assert len(result) == len(expected)
         assert all(r == e for r, e in zip(result, expected))
         result = [
-            (r[0], list(map(lambda x: round(x, 2), r[1])) if r[1] is not None else None)
+            (r[0], [round(x, 2) for x in r[1]] if r[1] is not None else None)
             for r in table.quantile_cont(
                 "v",
                 q=[0.2, 0.5],

tests/fast/spark/test_spark_dataframe.py

@@ -152,7 +152,7 @@ def test_dataframe_from_rows(self, spark):
         columns = ["language", "users_count"]
         data = [("Java", "20000"), ("Python", "100000"), ("Scala", "3000")]
 
-        rowData = map(lambda x: Row(*x), data)
+        rowData = (Row(*x) for x in data)
         df = spark.createDataFrame(rowData, columns)
         res = df.collect()
         assert res == [