datafusion-spark 53.1.0

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// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License.  You may obtain a copy of the License at
//
//   http://www.apache.org/licenses/LICENSE-2.0
//
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// software distributed under the License is distributed on an
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// under the License.

use arrow::array::{Array, ArrayRef};
use datafusion_common::{Result, ScalarValue};
use datafusion_expr::ColumnarValue;

/// array function wrapper that differentiates between scalar (length 1) and array.
pub(crate) fn make_scalar_function<F>(
    inner: F,
) -> impl Fn(&[ColumnarValue]) -> Result<ColumnarValue>
where
    F: Fn(&[ArrayRef]) -> Result<ArrayRef>,
{
    move |args: &[ColumnarValue]| {
        // first, identify if any of the arguments is an Array. If yes, store its `len`,
        // as any scalar will need to be converted to an array of len `len`.
        let len = args
            .iter()
            .fold(Option::<usize>::None, |acc, arg| match arg {
                ColumnarValue::Scalar(_) => acc,
                ColumnarValue::Array(a) => Some(a.len()),
            });

        let is_scalar = len.is_none();

        let args = ColumnarValue::values_to_arrays(args)?;

        let result = (inner)(&args);

        if is_scalar {
            // If all inputs are scalar, keeps output as scalar
            let result = result.and_then(|arr| ScalarValue::try_from_array(&arr, 0));
            result.map(ColumnarValue::Scalar)
        } else {
            result.map(ColumnarValue::Array)
        }
    }
}