[C++][Compute] Accept `JoinOptions` in `binary_join` to handle nulls

### Describe the enhancement requested

### Short
I'd like to be able to handle nulls in [`binary_join`](https://arrow.apache.org/docs/python/generated/pyarrow.compute.binary_join.html#pyarrow.compute.binary_join) in the same way as [`binary_join_element_wise`](https://arrow.apache.org/docs/python/generated/pyarrow.compute.binary_join_element_wise.html).

### Longer
I've recently been trying to use [`binary_join`](https://arrow.apache.org/docs/python/generated/pyarrow.compute.binary_join.html#pyarrow.compute.binary_join) to get similar behavior to [`polars.Expr.list.join`](https://docs.pola.rs/api/python/stable/reference/expressions/api/polars.Expr.list.join.html#polars.Expr.list.join) - which has an `ignore_nulls` argument:

Show polars

I personally wouldn't want to propagate nulls, but being able to opt-in to ignoring them would be helpful
```py
import polars as pl

data = {
"a": [
["a", "b", "c"],
[None, None, None],
[None, None, "1", "2", None, "3", None],
["x", "y"],
["1", None, "3"],
[None],
None,
[],
[None, None],
]
}
result = pl.DataFrame(data).with_columns(
propagate_nulls=pl.col("a").list.join("-", ignore_nulls=False),
ignore_nulls=pl.col("a").list.join("-", ignore_nulls=True),
)
print(result)
```

```
shape: (9, 3)
┌──────────────────────┬─────────────────┬──────────────┐
│ a ┆ propagate_nulls ┆ ignore_nulls │
│ --- ┆ --- ┆ --- │
│ list[str] ┆ str ┆ str │
╞══════════════════════╪═════════════════╪══════════════╡
│ ["a", "b", "c"] ┆ a-b-c ┆ a-b-c │
│ [null, null, null] ┆ null ┆ │
│ [null, null, … null] ┆ null ┆ 1-2-3 │
│ ["x", "y"] ┆ x-y ┆ x-y │
│ ["1", null, "3"] ┆ null ┆ 1-3 │
│ [null] ┆ null ┆ │
│ null ┆ null ┆ null │
│ [] ┆ ┆ │
│ [null, null] ┆ null ┆ │
└──────────────────────┴─────────────────┴──────────────┘
```

Show pyarrow

```py
import pyarrow as pa
import pyarrow.compute as pc

data = {
"a": [
["a", "b", "c"],
[None, None, None],
[None, None, "1", "2", None, "3", None],
["x", "y"],
["1", None, "3"],
[None],
None,
[],
[None, None],
]}

pc.binary_join(pa.array(data["a"]), "-")
```

```

[
"a-b-c",
null,
null,
"x-y",
null,
null,
null,
"",
null
]
```

It is *possible* to get the same behavior, but I'd much rather be able to write `null_handling="skip"` if possible 🙏

- https://github.com/narwhals-dev/narwhals/blob/e68d9ab9b12562848602e7a0d2f7baf80bc0576a/narwhals/_plan/arrow/functions.py#L600-L700

### Component(s)

C++, Python