fix merge

Author: MariusMerkleQC

tests/test_performance.py

@@ -131,53 +131,3 @@ def test_eq_missing_not_slower_than_element_wise_for_list_columns() -> None:
         f"({mean_time_cond:.3f}s vs {mean_time_eq:.3f}s). "
         f"Expected comparable performance since list<i64> should use eq_missing directly."
     )
-
-
-def test_element_wise_comparison_slower_than_eq_missing_for_list_columns() -> None:
-    """Confirm that comparing list columns with non-tolerance inner types via
-    eq_missing() is significantly faster than the element-wise
-    _compare_sequence_columns() path."""
-    n_rows = 500_000
-    list_len = 20
-    num_runs_measured = 10
-    num_runs_warmup = 2
-
-    col_left = f"val_{Side.LEFT}"
-    col_right = f"val_{Side.RIGHT}"
-    df = pl.DataFrame(
-        {
-            col_left: [list(range(list_len)) for _ in range(n_rows)],
-            col_right: [list(range(list_len)) for _ in range(n_rows)],
-        }
-    )
-
-    times_eq = []
-    times_cond = []
-    for _ in range(num_runs_warmup + num_runs_measured):
-        start = time.perf_counter()
-        df.select(pl.col(col_left).eq_missing(pl.col(col_right))).to_series()
-        times_eq.append(time.perf_counter() - start)
-
-        start = time.perf_counter()
-        df.select(
-            condition_equal_columns(
-                column="val",
-                dtype_left=df.schema[col_left],
-                dtype_right=df.schema[col_right],
-                max_list_length=list_len,
-                abs_tol=ABS_TOL_DEFAULT,
-                rel_tol=REL_TOL_DEFAULT,
-                abs_tol_temporal=ABS_TOL_TEMPORAL_DEFAULT,
-            )
-        ).to_series()
-        times_cond.append(time.perf_counter() - start)
-
-    mean_time_eq = statistics.mean(times_eq[num_runs_warmup:])
-    mean_time_cond = statistics.mean(times_cond[num_runs_warmup:])
-
-    ratio = mean_time_cond / mean_time_eq
-    assert ratio > 2.0, (
-        f"Element-wise comparison was only {ratio:.1f}x slower than eq_missing "
-        f"({mean_time_cond:.3f}s vs {mean_time_eq:.3f}s). "
-        f"Expected at least 2x slowdown to justify the optimization."
-    )