polars 0.53.0

DataFrame library based on Apache Arrow
Documentation 
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mod iterator;

use arrow::array::*;
use arrow::bitmap::Bitmap;
use arrow::datatypes::*;

fn array() -> StructArray {
    let boolean = BooleanArray::from_slice([false, false, true, true]).boxed();
    let int = Int32Array::from_slice([42, 28, 19, 31]).boxed();

    let fields = vec![
        Field::new("b".into(), ArrowDataType::Boolean, false),
        Field::new("c".into(), ArrowDataType::Int32, false),
    ];

    StructArray::new(
        ArrowDataType::Struct(fields),
        boolean.len(),
        vec![boolean.clone(), int.clone()],
        Some(Bitmap::from([true, true, false, true])),
    )
}

#[test]
fn debug() {
    let array = array();

    assert_eq!(
        format!("{array:?}"),
        "StructArray[{b: false, c: 42}, {b: false, c: 28}, None, {b: true, c: 31}]"
    );
}

#[test]
fn split_at() {
    let array = array();

    let (lhs, rhs) = array.split_at(1);
    assert_eq!(format!("{lhs:?}"), "StructArray[{b: false, c: 42}]");
    assert_eq!(
        format!("{rhs:?}"),
        "StructArray[{b: false, c: 28}, None, {b: true, c: 31}]"
    );
}