fix: address lit broadcasting and output name of right arithmetic ops

narwhals/_arrow/expr.py

@@ -151,55 +151,64 @@ def __and__(self: Self, other: ArrowExpr | bool | Any) -> Self:
         return reuse_series_implementation(self, "__and__", other=other)
 
     def __rand__(self: Self, other: ArrowExpr | bool | Any) -> Self:
-        return reuse_series_implementation(self, "__rand__", other=other)
+        other = self.__narwhals_namespace__().lit(other, dtype=None)
+        return other.__and__(self)  # type: ignore[return-value]
 
     def __or__(self: Self, other: ArrowExpr | bool | Any) -> Self:
         return reuse_series_implementation(self, "__or__", other=other)
 
     def __ror__(self: Self, other: ArrowExpr | bool | Any) -> Self:
-        return reuse_series_implementation(self, "__ror__", other=other)
+        other = self.__narwhals_namespace__().lit(other, dtype=None)
+        return other.__or__(self)  # type: ignore[return-value]
 
     def __add__(self: Self, other: ArrowExpr | Any) -> Self:
         return reuse_series_implementation(self, "__add__", other)
 
     def __radd__(self: Self, other: ArrowExpr | Any) -> Self:
-        return reuse_series_implementation(self, "__radd__", other)
+        other = self.__narwhals_namespace__().lit(other, dtype=None)
+        return other.__add__(self)  # type: ignore[return-value]
 
     def __sub__(self: Self, other: ArrowExpr | Any) -> Self:
         return reuse_series_implementation(self, "__sub__", other)
 
     def __rsub__(self: Self, other: ArrowExpr | Any) -> Self:
-        return reuse_series_implementation(self, "__rsub__", other)
+        other = self.__narwhals_namespace__().lit(other, dtype=None)
+        return other.__sub__(self)  # type: ignore[return-value]
 
     def __mul__(self: Self, other: ArrowExpr | Any) -> Self:
         return reuse_series_implementation(self, "__mul__", other)
 
     def __rmul__(self: Self, other: ArrowExpr | Any) -> Self:
-        return reuse_series_implementation(self, "__rmul__", other)
+        other = self.__narwhals_namespace__().lit(other, dtype=None)
+        return other.__mul__(self)  # type: ignore[return-value]
 
     def __pow__(self: Self, other: ArrowExpr | Any) -> Self:
         return reuse_series_implementation(self, "__pow__", other)
 
     def __rpow__(self: Self, other: ArrowExpr | Any) -> Self:
-        return reuse_series_implementation(self, "__rpow__", other)
+        other = self.__narwhals_namespace__().lit(other, dtype=None)
+        return other.__pow__(self)  # type: ignore[return-value]
 
     def __floordiv__(self: Self, other: ArrowExpr | Any) -> Self:
         return reuse_series_implementation(self, "__floordiv__", other)
 
     def __rfloordiv__(self: Self, other: ArrowExpr | Any) -> Self:
-        return reuse_series_implementation(self, "__rfloordiv__", other)
+        other = self.__narwhals_namespace__().lit(other, dtype=None)
+        return other.__floordiv__(self)  # type: ignore[return-value]
 
     def __truediv__(self: Self, other: ArrowExpr | Any) -> Self:
         return reuse_series_implementation(self, "__truediv__", other)
 
     def __rtruediv__(self: Self, other: ArrowExpr | Any) -> Self:
-        return reuse_series_implementation(self, "__rtruediv__", other)
+        other = self.__narwhals_namespace__().lit(other, dtype=None)
+        return other.__truediv__(self)  # type: ignore[return-value]
 
     def __mod__(self: Self, other: ArrowExpr | Any) -> Self:
         return reuse_series_implementation(self, "__mod__", other)
 
     def __rmod__(self: Self, other: ArrowExpr | Any) -> Self:
-        return reuse_series_implementation(self, "__rmod__", other)
+        other = self.__narwhals_namespace__().lit(other, dtype=None)
+        return other.__mod__(self)  # type: ignore[return-value]
 
     def __invert__(self: Self) -> Self:
         return reuse_series_implementation(self, "__invert__")

narwhals/_arrow/namespace.py

@@ -170,7 +170,7 @@ def _lit_arrow_series(_: ArrowDataFrame) -> ArrowSeries:
             depth=0,
             function_name="lit",
             root_names=None,
-            output_names=[_lit_arrow_series.__name__],
+            output_names=["literal"],
             backend_version=self._backend_version,
             dtypes=self._dtypes,
         )

narwhals/_arrow/series.py

@@ -96,130 +96,115 @@ def __len__(self: Self) -> int:
     def __eq__(self: Self, other: object) -> Self:  # type: ignore[override]
         import pyarrow.compute as pc
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(pc.equal(ser, other))
 
     def __ne__(self: Self, other: object) -> Self:  # type: ignore[override]
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(pc.not_equal(ser, other))
 
     def __ge__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(pc.greater_equal(ser, other))
 
     def __gt__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(pc.greater(ser, other))
 
     def __le__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(pc.less_equal(ser, other))
 
     def __lt__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(pc.less(ser, other))
 
     def __and__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(pc.and_kleene(ser, other))
 
     def __rand__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(pc.and_kleene(other, ser))
 
     def __or__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(pc.or_kleene(ser, other))
 
     def __ror__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(pc.or_kleene(other, ser))
 
     def __add__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        other = validate_column_comparand(other)
-        return self._from_native_series(pc.add(self._native_series, other))
+        ser, other = validate_column_comparand(self, other, self._backend_version)
+        return self._from_native_series(pc.add(ser, other))
 
     def __radd__(self: Self, other: Any) -> Self:
         return self + other  # type: ignore[no-any-return]
 
     def __sub__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        other = validate_column_comparand(other)
-        return self._from_native_series(pc.subtract(self._native_series, other))
+        ser, other = validate_column_comparand(self, other, self._backend_version)
+        return self._from_native_series(pc.subtract(ser, other))
 
     def __rsub__(self: Self, other: Any) -> Self:
         return (self - other) * (-1)  # type: ignore[no-any-return]
 
     def __mul__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        other = validate_column_comparand(other)
-        return self._from_native_series(pc.multiply(self._native_series, other))
+        ser, other = validate_column_comparand(self, other, self._backend_version)
+        return self._from_native_series(pc.multiply(ser, other))
 
     def __rmul__(self: Self, other: Any) -> Self:
         return self * other  # type: ignore[no-any-return]
 
     def __pow__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(pc.power(ser, other))
 
     def __rpow__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(pc.power(other, ser))
 
     def __floordiv__(self: Self, other: Any) -> Self:
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(floordiv_compat(ser, other))
 
     def __rfloordiv__(self: Self, other: Any) -> Self:
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         return self._from_native_series(floordiv_compat(other, ser))
 
     def __truediv__(self: Self, other: Any) -> Self:
         import pyarrow as pa  # ignore-banned-import()
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         if not isinstance(other, (pa.Array, pa.ChunkedArray)):
             # scalar
             other = pa.scalar(other)
@@ -229,8 +214,7 @@ def __rtruediv__(self: Self, other: Any) -> Self:
         import pyarrow as pa  # ignore-banned-import()
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         if not isinstance(other, (pa.Array, pa.ChunkedArray)):
             # scalar
             other = pa.scalar(other)
@@ -239,18 +223,16 @@ def __rtruediv__(self: Self, other: Any) -> Self:
     def __mod__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
         floor_div = (self // other)._native_series
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         res = pc.subtract(ser, pc.multiply(floor_div, other))
         return self._from_native_series(res)
 
     def __rmod__(self: Self, other: Any) -> Self:
         import pyarrow.compute as pc  # ignore-banned-import()
 
-        ser = self._native_series
-        other = validate_column_comparand(other)
         floor_div = (other // self)._native_series
+        ser, other = validate_column_comparand(self, other, self._backend_version)
         res = pc.subtract(other, pc.multiply(floor_div, ser))
         return self._from_native_series(res)
 
@@ -264,8 +246,10 @@ def len(self: Self) -> int:
 
     def filter(self: Self, other: Any) -> Self:
         if not (isinstance(other, list) and all(isinstance(x, bool) for x in other)):
-            other = validate_column_comparand(other)
-        return self._from_native_series(self._native_series.filter(other))
+            ser, other = validate_column_comparand(self, other, self._backend_version)
+        else:
+            ser = self._native_series
+        return self._from_native_series(ser.filter(other))
 
     def mean(self: Self) -> int:
         import pyarrow.compute as pc  # ignore-banned-import()
@@ -382,16 +366,17 @@ def scatter(self: Self, indices: int | Sequence[int], values: Any) -> Self:
         import pyarrow as pa  # ignore-banned-import
         import pyarrow.compute as pc  # ignore-banned-import
 
-        ca = self._native_series
-        mask = np.zeros(len(ca), dtype=bool)
+        mask = np.zeros(self.len(), dtype=bool)
         mask[indices] = True
         if isinstance(values, self.__class__):
-            values = validate_column_comparand(values)
+            ser, values = validate_column_comparand(self, values, self._backend_version)
+        else:
+            ser = self._native_series
         if isinstance(values, pa.ChunkedArray):
             values = values.combine_chunks()
         if not isinstance(values, pa.Array):
             values = pa.array(values)
-        result = pc.replace_with_mask(ca, mask, values.take(indices))
+        result = pc.replace_with_mask(ser, mask, values.take(indices))
         return self._from_native_series(result)
 
     def to_list(self: Self) -> list[Any]:

narwhals/_arrow/utils.py

@@ -128,7 +128,9 @@ def narwhals_to_native_dtype(dtype: DType | type[DType], dtypes: DTypes) -> pa.D
     raise AssertionError(msg)
 
 
-def validate_column_comparand(other: Any) -> Any:
+def validate_column_comparand(
+    lhs: ArrowSeries, rhs: Any, backend_version: tuple[int, ...]
+) -> tuple[pa.ChunkedArray, Any]:
     """Validate RHS of binary operation.
 
     If the comparison isn't supported, return `NotImplemented` so that the
@@ -140,27 +142,46 @@ def validate_column_comparand(other: Any) -> Any:
     from narwhals._arrow.dataframe import ArrowDataFrame
     from narwhals._arrow.series import ArrowSeries
 
-    if isinstance(other, list):
-        if len(other) > 1:
-            if hasattr(other[0], "__narwhals_expr__") or hasattr(
-                other[0], "__narwhals_series__"
+    # If `rhs` is the output of an expression evaluation, then it is
+    # a list of Series. So, we verify that that list is of length-1,
+    # and take the first (and only) element.
+    if isinstance(rhs, list):
+        if len(rhs) > 1:
+            if hasattr(rhs[0], "__narwhals_expr__") or hasattr(
+                rhs[0], "__narwhals_series__"
             ):
                 # e.g. `plx.all() + plx.all()`
                 msg = "Multi-output expressions (e.g. `nw.all()` or `nw.col('a', 'b')`) are not supported in this context"
                 raise ValueError(msg)
-            msg = (
-                f"Expected scalar value, Series, or Expr, got list of : {type(other[0])}"
-            )
+            msg = f"Expected scalar value, Series, or Expr, got list of : {type(rhs[0])}"
             raise ValueError(msg)
-        other = other[0]
-    if isinstance(other, ArrowDataFrame):
+        rhs = rhs[0]
+
+    if isinstance(rhs, ArrowDataFrame):
         return NotImplemented
-    if isinstance(other, ArrowSeries):
-        if len(other) == 1:
+
+    if isinstance(rhs, ArrowSeries):
+        if len(rhs) == 1:
             # broadcast
-            return other[0]
-        return other._native_series
-    return other
+            return lhs._native_series, rhs[0]
+        if len(lhs) == 1:
+            # broadcast
+            import numpy as np  # ignore-banned-import
+            import pyarrow as pa  # ignore-banned-import
+
+            fill_value = lhs[0]
+            if backend_version < (13,) and hasattr(fill_value, "as_py"):
+                fill_value = fill_value.as_py()
+            return pa.chunked_array(
+                [
+                    pa.array(
+                        np.full(shape=rhs.len(), fill_value=fill_value),
+                        type=lhs._native_series.type,
+                    )
+                ]
+            ), rhs._native_series
+        return lhs._native_series, rhs._native_series
+    return lhs._native_series, rhs
 
 
 def validate_dataframe_comparand(