Chore: Migrate unsafe_pow_op operator to SQLGlot

bigframes/core/compile/sqlglot/expressions/numeric_ops.py

@@ -443,6 +443,14 @@ def _(left: TypedExpr, right: TypedExpr) -> sge.Expression:
     )
 
 
+@register_binary_op(ops.unsafe_pow_op)
+def _(left: TypedExpr, right: TypedExpr) -> sge.Expression:
+    """For internal use only - where domain and overflow checks are not needed."""
+    left_expr = _coerce_bool_to_int(left)
+    right_expr = _coerce_bool_to_int(right)
+    return sge.Pow(this=left_expr, expression=right_expr)
+
+
 @register_unary_op(numeric_ops.isnan_op)
 def isnan(arg: TypedExpr) -> sge.Expression:
     return sge.IsNan(this=arg.expr)

tests/unit/core/compile/sqlglot/expressions/snapshots/test_numeric_ops/test_unsafe_pow_op/out.sql

@@ -0,0 +1,43 @@
+WITH `bfcte_0` AS (
+  SELECT
+    `bool_col`,
+    `float64_col`,
+    `int64_col`
+  FROM `bigframes-dev`.`sqlglot_test`.`scalar_types`
+), `bfcte_1` AS (
+  SELECT
+    *,
+    `bool_col` AS `bfcol_3`,
+    `int64_col` AS `bfcol_4`,
+    `float64_col` AS `bfcol_5`,
+    (
+      `int64_col` >= 0
+    ) AND (
+      `int64_col` <= 10
+    ) AS `bfcol_6`
+  FROM `bfcte_0`
+), `bfcte_2` AS (
+  SELECT
+    *
+  FROM `bfcte_1`
+  WHERE
+    `bfcol_6`
+), `bfcte_3` AS (
+  SELECT
+    *,
+    POWER(`bfcol_4`, `bfcol_4`) AS `bfcol_14`,
+    POWER(`bfcol_4`, `bfcol_5`) AS `bfcol_15`,
+    POWER(`bfcol_5`, `bfcol_4`) AS `bfcol_16`,
+    POWER(`bfcol_5`, `bfcol_5`) AS `bfcol_17`,
+    POWER(`bfcol_4`, CAST(`bfcol_3` AS INT64)) AS `bfcol_18`,
+    POWER(CAST(`bfcol_3` AS INT64), `bfcol_4`) AS `bfcol_19`
+  FROM `bfcte_2`
+)
+SELECT
+  `bfcol_14` AS `int_pow_int`,
+  `bfcol_15` AS `int_pow_float`,
+  `bfcol_16` AS `float_pow_int`,
+  `bfcol_17` AS `float_pow_float`,
+  `bfcol_18` AS `int_pow_bool`,
+  `bfcol_19` AS `bool_pow_int`
+FROM `bfcte_3`

tests/unit/core/compile/sqlglot/expressions/test_numeric_ops.py

@@ -438,3 +438,36 @@ def test_sub_unsupported_raises(scalar_types_df: bpd.DataFrame):
 
     with pytest.raises(TypeError):
         utils._apply_binary_op(scalar_types_df, ops.sub_op, "int64_col", "string_col")
+
+
+def test_unsafe_pow_op(scalar_types_df: bpd.DataFrame, snapshot):
+    # Choose certain row so the sql execution won't fail even with unsafe_pow_op.
+    bf_df = scalar_types_df[
+        (scalar_types_df["int64_col"] >= 0) & (scalar_types_df["int64_col"] <= 10)
+    ]
+    bf_df = bf_df[["int64_col", "float64_col", "bool_col"]]
+
+    int64_col_id = bf_df["int64_col"]._value_column
+    float64_col_id = bf_df["float64_col"]._value_column
+    bool_col_id = bf_df["bool_col"]._value_column
+
+    sql = utils._apply_ops_to_sql(
+        bf_df,
+        [
+            ops.unsafe_pow_op.as_expr(int64_col_id, int64_col_id),
+            ops.unsafe_pow_op.as_expr(int64_col_id, float64_col_id),
+            ops.unsafe_pow_op.as_expr(float64_col_id, int64_col_id),
+            ops.unsafe_pow_op.as_expr(float64_col_id, float64_col_id),
+            ops.unsafe_pow_op.as_expr(int64_col_id, bool_col_id),
+            ops.unsafe_pow_op.as_expr(bool_col_id, int64_col_id),
+        ],
+        [
+            "int_pow_int",
+            "int_pow_float",
+            "float_pow_int",
+            "float_pow_float",
+            "int_pow_bool",
+            "bool_pow_int",
+        ],
+    )
+    snapshot.assert_match(sql, "out.sql")