chore: Migrate up to 5 scalar operators to SQLGlot

Migrated tan_op, arcsin_op, arccos_op, arctan_op, and sinh_op scalar operators to SQLGlot.

Author: chelsea-lin

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

@@ -30,6 +30,37 @@ def compile(op: ops.UnaryOp, expr: TypedExpr) -> sge.Expression:
     return UNARY_OP_REGISTRATION[op](op, expr)
 
 
+@UNARY_OP_REGISTRATION.register(ops.arccos_op)
+def _(op: ops.base_ops.UnaryOp, expr: TypedExpr) -> sge.Expression:
+    return sge.Case(
+        ifs=[
+            sge.If(
+                this=sge.func("ABS", expr.expr) > sge.convert(1),
+                true=sge.func("IEEE_DIVIDE", sge.convert(0), sge.convert(0)),
+            )
+        ],
+        default=sge.func("ACOS", expr.expr),
+    )
+
+
+@UNARY_OP_REGISTRATION.register(ops.arcsin_op)
+def _(op: ops.base_ops.UnaryOp, expr: TypedExpr) -> sge.Expression:
+    return sge.Case(
+        ifs=[
+            sge.If(
+                this=sge.func("ABS", expr.expr) > sge.convert(1),
+                true=sge.func("IEEE_DIVIDE", sge.convert(0), sge.convert(0)),
+            )
+        ],
+        default=sge.func("ASIN", expr.expr),
+    )
+
+
+@UNARY_OP_REGISTRATION.register(ops.arctan_op)
+def _(op: ops.base_ops.UnaryOp, expr: TypedExpr) -> sge.Expression:
+    return sge.func("ATAN", expr.expr)
+
+
 @UNARY_OP_REGISTRATION.register(ops.ArrayToStringOp)
 def _(op: ops.ArrayToStringOp, expr: TypedExpr) -> sge.Expression:
     return sge.ArrayToString(this=expr.expr, expression=f"'{op.delimiter}'")
@@ -97,6 +128,25 @@ def _(op: ops.base_ops.UnaryOp, expr: TypedExpr) -> sge.Expression:
     return sge.func("sin", expr.expr)
 
 
+@UNARY_OP_REGISTRATION.register(ops.sinh_op)
+def _(op: ops.base_ops.UnaryOp, expr: TypedExpr) -> sge.Expression:
+    return sge.Case(
+        ifs=[
+            sge.If(
+                this=sge.func("ABS", expr.expr) > sge.convert(709.78),
+                true=sge.func("SIGN", expr.expr)
+                * sge.func("IEEE_DIVIDE", sge.convert(1), sge.convert(0)),
+            )
+        ],
+        default=sge.func("SINH", expr.expr),
+    )
+
+
+@UNARY_OP_REGISTRATION.register(ops.tan_op)
+def _(op: ops.base_ops.UnaryOp, expr: TypedExpr) -> sge.Expression:
+    return sge.func("TAN", expr.expr)
+
+
 # JSON Ops
 @UNARY_OP_REGISTRATION.register(ops.JSONExtract)
 def _(op: ops.JSONExtract, expr: TypedExpr) -> sge.Expression:

tests/unit/core/compile/sqlglot/expressions/snapshots/test_unary_compiler/test_arccos/out.sql

@@ -0,0 +1,13 @@
+WITH `bfcte_0` AS (
+  SELECT
+    `float64_col` AS `bfcol_0`
+  FROM `bigframes-dev`.`sqlglot_test`.`scalar_types`
+), `bfcte_1` AS (
+  SELECT
+    *,
+    CASE WHEN ABS(`bfcol_0`) > 1 THEN IEEE_DIVIDE(0, 0) ELSE ACOS(`bfcol_0`) END AS `bfcol_1`
+  FROM `bfcte_0`
+)
+SELECT
+  `bfcol_1` AS `float64_col`
+FROM `bfcte_1`

tests/unit/core/compile/sqlglot/expressions/snapshots/test_unary_compiler/test_arcsin/out.sql

@@ -0,0 +1,13 @@
+WITH `bfcte_0` AS (
+  SELECT
+    `float64_col` AS `bfcol_0`
+  FROM `bigframes-dev`.`sqlglot_test`.`scalar_types`
+), `bfcte_1` AS (
+  SELECT
+    *,
+    CASE WHEN ABS(`bfcol_0`) > 1 THEN IEEE_DIVIDE(0, 0) ELSE ASIN(`bfcol_0`) END AS `bfcol_1`
+  FROM `bfcte_0`
+)
+SELECT
+  `bfcol_1` AS `float64_col`
+FROM `bfcte_1`

tests/unit/core/compile/sqlglot/expressions/snapshots/test_unary_compiler/test_arctan/out.sql

@@ -0,0 +1,13 @@
+WITH `bfcte_0` AS (
+  SELECT
+    `float64_col` AS `bfcol_0`
+  FROM `bigframes-dev`.`sqlglot_test`.`scalar_types`
+), `bfcte_1` AS (
+  SELECT
+    *,
+    ATAN(`bfcol_0`) AS `bfcol_1`
+  FROM `bfcte_0`
+)
+SELECT
+  `bfcol_1` AS `float64_col`
+FROM `bfcte_1`

tests/unit/core/compile/sqlglot/expressions/snapshots/test_unary_compiler/test_sinh/out.sql

@@ -0,0 +1,17 @@
+WITH `bfcte_0` AS (
+  SELECT
+    `float64_col` AS `bfcol_0`
+  FROM `bigframes-dev`.`sqlglot_test`.`scalar_types`
+), `bfcte_1` AS (
+  SELECT
+    *,
+    CASE
+      WHEN ABS(`bfcol_0`) > 709.78
+      THEN SIGN(`bfcol_0`) * IEEE_DIVIDE(1, 0)
+      ELSE SINH(`bfcol_0`)
+    END AS `bfcol_1`
+  FROM `bfcte_0`
+)
+SELECT
+  `bfcol_1` AS `float64_col`
+FROM `bfcte_1`

tests/unit/core/compile/sqlglot/expressions/snapshots/test_unary_compiler/test_tan/out.sql

@@ -0,0 +1,13 @@
+WITH `bfcte_0` AS (
+  SELECT
+    `float64_col` AS `bfcol_0`
+  FROM `bigframes-dev`.`sqlglot_test`.`scalar_types`
+), `bfcte_1` AS (
+  SELECT
+    *,
+    TAN(`bfcol_0`) AS `bfcol_1`
+  FROM `bfcte_0`
+)
+SELECT
+  `bfcol_1` AS `float64_col`
+FROM `bfcte_1`

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

@@ -34,6 +34,24 @@ def _apply_unary_op(obj: bpd.DataFrame, op: ops.UnaryOp, arg: str) -> str:
     return sql
 
 
+def test_arccos(scalar_types_df: bpd.DataFrame, snapshot):
+    bf_df = scalar_types_df[["float64_col"]]
+    sql = _apply_unary_op(bf_df, ops.arccos_op, "float64_col")
+    snapshot.assert_match(sql, "out.sql")
+
+
+def test_arcsin(scalar_types_df: bpd.DataFrame, snapshot):
+    bf_df = scalar_types_df[["float64_col"]]
+    sql = _apply_unary_op(bf_df, ops.arcsin_op, "float64_col")
+    snapshot.assert_match(sql, "out.sql")
+
+
+def test_arctan(scalar_types_df: bpd.DataFrame, snapshot):
+    bf_df = scalar_types_df[["float64_col"]]
+    sql = _apply_unary_op(bf_df, ops.arctan_op, "float64_col")
+    snapshot.assert_match(sql, "out.sql")
+
+
 def test_array_to_string(repeated_types_df: bpd.DataFrame, snapshot):
     bf_df = repeated_types_df[["string_list_col"]]
     sql = _apply_unary_op(bf_df, ops.ArrayToStringOp(delimiter="."), "string_list_col")
@@ -88,6 +106,18 @@ def test_sin(scalar_types_df: bpd.DataFrame, snapshot):
     snapshot.assert_match(sql, "out.sql")
 
 
+def test_sinh(scalar_types_df: bpd.DataFrame, snapshot):
+    bf_df = scalar_types_df[["float64_col"]]
+    sql = _apply_unary_op(bf_df, ops.sinh_op, "float64_col")
+    snapshot.assert_match(sql, "out.sql")
+
+
+def test_tan(scalar_types_df: bpd.DataFrame, snapshot):
+    bf_df = scalar_types_df[["float64_col"]]
+    sql = _apply_unary_op(bf_df, ops.tan_op, "float64_col")
+    snapshot.assert_match(sql, "out.sql")
+
+
 def test_json_extract(json_types_df: bpd.DataFrame, snapshot):
     bf_df = json_types_df[["json_col"]]
     sql = _apply_unary_op(bf_df, ops.JSONExtract(json_path="$"), "json_col")