googleapis · TrevorBergeron · Jun 24, 2026 · Jun 24, 2026 · Jun 24, 2026 · Jun 24, 2026
@@ -884,6 +884,25 @@ def numeric_to_datetime(
     )
 
 
+@scalar_op_compiler.register_unary_op(ops.coerce_to_bool_op)
+def coerce_to_bool_op_impl(x: ibis_types.Value):
+    x_type = x.type()
+    if x_type.is_boolean():
+        res = x
+    elif x_type.is_numeric():
+        res = x != 0  # type: ignore
+    elif x_type.is_string():
+        res = x.length() > 0  # type: ignore
+    elif x_type.is_binary():
+        res = x.length() > 0  # type: ignore
+    elif isinstance(x_type, ibis_dtypes.Array):
+        res = x.length() > 0  # type: ignore
+    else:
+        res = x.notnull()
+
+    return res.fill_null(False)  # type: ignore
+
+
 @scalar_op_compiler.register_unary_op(ops.AsTypeOp, pass_op=True)
 def astype_op_impl(x: ibis_types.Value, op: ops.AsTypeOp):
     to_type = bigframes.core.compile.ibis_types.bigframes_dtype_to_ibis_dtype(

@@ -370,6 +370,28 @@ def _(
         ) -> pl.Expr:
             return pl.when(condition).then(original).otherwise(otherwise)
 
+        @compile_op.register(gen_ops.CoerceToBoolOp)
+        def _(self, op: ops.ScalarOp, input: pl.Expr) -> pl.Expr:
+            assert isinstance(op, gen_ops.CoerceToBoolOp)
+            from_type = self._expr_types.get(id(input))
+            if from_type is None:
+                return input.cast(pl.Boolean).fill_null(False)
+
+            if from_type == bigframes.dtypes.BOOL_DTYPE:
+                res = input
+            elif bigframes.dtypes.is_numeric(from_type):
+                res = input != 0
+            elif from_type == bigframes.dtypes.BYTES_DTYPE:
+                res = input.bin.size() > 0
+            elif bigframes.dtypes.is_string_like(from_type):
+                res = input.str.len_chars() > 0
+            elif bigframes.dtypes.is_array_like(from_type):
+                res = input.list.len() > 0
+            else:
+                res = input.is_not_null()
+
+            return res.fill_null(False)
+
         @compile_op.register(gen_ops.AsTypeOp)
         def _(self, op: ops.ScalarOp, input: pl.Expr) -> pl.Expr:
             assert isinstance(op, gen_ops.AsTypeOp)

@@ -148,6 +148,28 @@ def _(expr: TypedExpr) -> sge.Expression:
     )
 
 
+@register_unary_op(ops.coerce_to_bool_op)
+def _(expr: TypedExpr) -> sge.Expression:
+    from_type = expr.dtype
+    sg_expr = expr.expr
+
+    if from_type == dtypes.BOOL_DTYPE:
+        res = sg_expr
+    elif dtypes.is_numeric(from_type):
+        res = sge.NEQ(this=sg_expr, expression=sge.convert(0))
+    elif dtypes.is_string_like(from_type):
+        res = sge.GT(this=sge.func("LENGTH", sg_expr), expression=sge.convert(0))
+    elif dtypes.is_array_like(from_type):
+        res = sge.GT(this=sge.func("ARRAY_LENGTH", sg_expr), expression=sge.convert(0))
+    else:
+        res = sge.Is(
+            this=sge.paren(sg_expr, copy=False),
+            expression=sg.not_(sge.Null(), copy=False),
+        )
+
+    return sge.Coalesce(this=res, expressions=[sge.convert(False)])
+
+
 @register_ternary_op(ops.where_op)
 def _(
     original: TypedExpr, condition: TypedExpr, replacement: TypedExpr

@@ -29,7 +29,13 @@
     const,
     deref,
 )
-from bigframes.operations import NUMPY_TO_BINOP, NUMPY_TO_OP, generic_ops, numeric_ops
+from bigframes.operations import (
+    NUMPY_TO_BINOP,
+    NUMPY_TO_OP,
+    ScalarOp,
+    generic_ops,
+    numeric_ops,
+)
 
 _CALLABLE_TO_OP = {
     **NUMPY_TO_OP,
@@ -365,6 +371,8 @@ def resolve_call(call: Call) -> Expression:
                 op = _CALLABLE_TO_OP[fn]
                 return OpExpression(op, call.inputs)
     elif isinstance(callable, PyObject):
+        if isinstance(callable.value, ScalarOp):
+            return OpExpression(callable.value, call.inputs)
         if callable.value in python_op_maps.PYTHON_TO_BIGFRAMES:
             op = python_op_maps.PYTHON_TO_BIGFRAMES[callable.value]  # type: ignore
             return OpExpression(op, call.inputs)

@@ -468,7 +468,12 @@ def is_clusterable(type_: ExpressionType) -> bool:
 
 def is_bool_coercable(type_: ExpressionType) -> bool:
     # TODO: Implement more bool coercions
-    return (type_ is None) or is_numeric(type_) or is_string_like(type_)
+    return (
+        (type_ is None)
+        or is_numeric(type_)
+        or is_string_like(type_)
+        or is_array_like(type_)
+    )
 
 
 BIGFRAMES_STRING_TO_BIGFRAMES: Dict[DtypeString, Dtype] = {

@@ -93,13 +93,15 @@
 from bigframes.operations.generic_ops import (
     AsTypeOp,
     CaseWhenOp,
+    CoerceToBoolOp,
     IsInOp,
     MapOp,
     RowKey,
     SqlScalarOp,
     case_when_op,
     clip_op,
     coalesce_op,
+    coerce_to_bool_op,
     fillna_op,
     hash_op,
     invert_op,
@@ -255,6 +257,8 @@
     "maximum_op",
     "minimum_op",
     "notnull_op",
+    "CoerceToBoolOp",
+    "coerce_to_bool_op",
     "RowKey",
     "SqlScalarOp",
     "where_op",

@@ -45,6 +45,21 @@
 )
 notnull_op = NotNullOp()
 
+
+# Semantics match Python's truth value testing (truthy and falsey objects).
+# See https://docs.python.org/3/library/stdtypes.html#truth-value-testing
+CoerceToBoolOp = base_ops.create_unary_op(
+    name="coerce_to_bool",
+    type_signature=op_typing.FixedOutputType(
+        dtypes.is_bool_coercable, dtypes.BOOL_DTYPE, description="coercable to bool"
+    ),
+)
+CoerceToBoolOp.__doc__ = (
+    "Coerce a value to a boolean, matching Python's truth value testing semantics "
+    "(truthy/falsey). See https://docs.python.org/3/library/stdtypes.html#truth-value-testing"
+)
+coerce_to_bool_op = CoerceToBoolOp()
+
 HashOp = base_ops.create_unary_op(
     name="hash",
     type_signature=op_typing.FixedOutputType(

@@ -22,6 +22,7 @@
     array_ops,
     bool_ops,
     comparison_ops,
+    generic_ops,
     numeric_ops,
     string_ops,
 )
@@ -47,6 +48,8 @@
     operator.and_: bool_ops.and_op,
     operator.or_: bool_ops.or_op,
     operator.xor: bool_ops.xor_op,
+    operator.invert: generic_ops.invert_op,
+    operator.not_: generic_ops.invert_op,
     ## math
     math.log: numeric_ops.ln_op,
     math.log10: numeric_ops.log10_op,

@@ -405,6 +405,39 @@ def test_engines_notnull_op(scalars_array_value: array_value.ArrayValue, engine)
     assert_equivalence_execution(arr.node, REFERENCE_ENGINE, engine)
 
 
+@pytest.mark.parametrize("engine", ["polars", "bq", "bq-sqlglot"], indirect=True)
+def test_engines_coerce_to_bool_op_scalars(
+    scalars_array_value: array_value.ArrayValue, engine
+):
+    arr, _ = scalars_array_value.compute_values(
+        [
+            ops.coerce_to_bool_op.as_expr(expression.deref("bool_col")),
+            ops.coerce_to_bool_op.as_expr(expression.deref("int64_col")),
+            ops.coerce_to_bool_op.as_expr(expression.deref("float64_col")),
+            ops.coerce_to_bool_op.as_expr(expression.deref("string_col")),
+            ops.coerce_to_bool_op.as_expr(expression.deref("bytes_col")),
+        ]
+    )
+
+    assert_equivalence_execution(arr.node, REFERENCE_ENGINE, engine)
+
+
+@pytest.mark.parametrize("engine", ["polars", "bq", "bq-sqlglot"], indirect=True)
+def test_engines_coerce_to_bool_op_arrays(
+    arrays_array_value: array_value.ArrayValue, engine
+):
+    arr, _ = arrays_array_value.compute_values(
+        [
+            ops.coerce_to_bool_op.as_expr(expression.deref("int_list_col")),
+            ops.coerce_to_bool_op.as_expr(expression.deref("bool_list_col")),
+            ops.coerce_to_bool_op.as_expr(expression.deref("float_list_col")),
+            ops.coerce_to_bool_op.as_expr(expression.deref("string_list_col")),
+        ]
+    )
+
+    assert_equivalence_execution(arr.node, REFERENCE_ENGINE, engine)
+
+
 @pytest.mark.parametrize("engine", ["polars", "bq", "bq-sqlglot"], indirect=True)
 def test_engines_invert_op(scalars_array_value: array_value.ArrayValue, engine):
     arr, _ = scalars_array_value.compute_values(