ferray_io/npy/

mod.rs

// ferray-io: .npy file I/O
//
// REQ-1: save(path, &array) writes .npy format
// REQ-2: load::<T, D>(path) reads .npy and returns Result<Array<T, D>, FerrayError>
// REQ-3: load_dynamic(path) reads .npy and returns Result<DynArray, FerrayError>
// REQ-6: Support format versions 1.0, 2.0, 3.0
// REQ-12: Support reading/writing both little-endian and big-endian

pub mod dtype_parse;
pub mod header;

use std::fs::File;
use std::io::{BufReader, BufWriter, Read, Write};
use std::path::Path;

use ferray_core::Array;
use ferray_core::dimension::{Dimension, IxDyn};
use ferray_core::dtype::{DType, Element};
use ferray_core::dynarray::DynArray;
use ferray_core::error::{FerrayError, FerrayResult};

use self::dtype_parse::Endianness;

/// Compute the total number of elements from a shape, using checked
/// multiplication to guard against overflow from untrusted `.npy` files.
pub(crate) fn checked_total_elements(shape: &[usize]) -> FerrayResult<usize> {
    shape.iter().try_fold(1usize, |acc, &dim| {
        acc.checked_mul(dim)
            .ok_or_else(|| FerrayError::io_error("shape overflow: total elements exceed usize::MAX"))
    })
}

/// Save an array to a `.npy` file.
///
/// The file is written in native byte order with C (row-major) layout.
///
/// # Errors
/// Returns `FerrayError::IoError` if the file cannot be created or written.
pub fn save<T: Element + NpyElement, D: Dimension, P: AsRef<Path>>(
    path: P,
    array: &Array<T, D>,
) -> FerrayResult<()> {
    let file = File::create(path.as_ref()).map_err(|e| {
        FerrayError::io_error(format!(
            "failed to create file '{}': {e}",
            path.as_ref().display()
        ))
    })?;
    let mut writer = BufWriter::new(file);
    save_to_writer(&mut writer, array)
}

/// Save an array to a writer in `.npy` format.
pub fn save_to_writer<T: Element + NpyElement, D: Dimension, W: Write>(
    writer: &mut W,
    array: &Array<T, D>,
) -> FerrayResult<()> {
    let fortran_order = false;
    header::write_header(writer, T::dtype(), array.shape(), fortran_order)?;

    // Write data
    if let Some(slice) = array.as_slice() {
        T::write_slice(slice, writer)?;
    } else {
        return Err(FerrayError::io_error(
            "cannot save non-contiguous array to .npy (make contiguous first)",
        ));
    }

    writer.flush()?;
    Ok(())
}

/// Load an array from a `.npy` file with compile-time type and dimension.
///
/// # Errors
/// - Returns `FerrayError::InvalidDtype` if the file's dtype doesn't match `T`.
/// - Returns `FerrayError::ShapeMismatch` if the file's shape doesn't match `D`.
/// - Returns `FerrayError::IoError` on file read failures.
pub fn load<T: Element + NpyElement, D: Dimension, P: AsRef<Path>>(
    path: P,
) -> FerrayResult<Array<T, D>> {
    let file = File::open(path.as_ref()).map_err(|e| {
        FerrayError::io_error(format!(
            "failed to open file '{}': {e}",
            path.as_ref().display()
        ))
    })?;
    let mut reader = BufReader::new(file);
    load_from_reader(&mut reader)
}

/// Load an array from a reader in `.npy` format with compile-time type.
pub fn load_from_reader<T: Element + NpyElement, D: Dimension, R: Read>(
    reader: &mut R,
) -> FerrayResult<Array<T, D>> {
    let hdr = header::read_header(reader)?;

    // Check dtype matches T
    if hdr.dtype != T::dtype() {
        return Err(FerrayError::invalid_dtype(format!(
            "expected dtype {:?} for type {}, but file has {:?}",
            T::dtype(),
            std::any::type_name::<T>(),
            hdr.dtype,
        )));
    }

    // Check dimension compatibility
    if let Some(ndim) = D::NDIM {
        if ndim != hdr.shape.len() {
            return Err(FerrayError::shape_mismatch(format!(
                "expected {} dimensions, but file has {} (shape {:?})",
                ndim,
                hdr.shape.len(),
                hdr.shape,
            )));
        }
    }

    let total_elements = checked_total_elements(&hdr.shape)?;
    let data = T::read_vec(reader, total_elements, hdr.endianness)?;

    let dim = build_dimension::<D>(&hdr.shape)?;

    if hdr.fortran_order {
        Array::from_vec_f(dim, data)
    } else {
        Array::from_vec(dim, data)
    }
}

/// Load a `.npy` file with runtime type dispatch.
///
/// Returns a `DynArray` whose variant corresponds to the file's dtype.
///
/// # Errors
/// Returns errors on I/O failures or unsupported dtypes.
pub fn load_dynamic<P: AsRef<Path>>(path: P) -> FerrayResult<DynArray> {
    let file = File::open(path.as_ref()).map_err(|e| {
        FerrayError::io_error(format!(
            "failed to open file '{}': {e}",
            path.as_ref().display()
        ))
    })?;
    let mut reader = BufReader::new(file);
    load_dynamic_from_reader(&mut reader)
}

/// Load a `.npy` from a reader with runtime type dispatch.
pub fn load_dynamic_from_reader<R: Read>(reader: &mut R) -> FerrayResult<DynArray> {
    let hdr = header::read_header(reader)?;
    let total = checked_total_elements(&hdr.shape)?;
    let dim = IxDyn::new(&hdr.shape);

    macro_rules! load_typed {
        ($ty:ty, $variant:ident) => {{
            let data = <$ty as NpyElement>::read_vec(reader, total, hdr.endianness)?;
            let arr = if hdr.fortran_order {
                Array::<$ty, IxDyn>::from_vec_f(dim, data)?
            } else {
                Array::<$ty, IxDyn>::from_vec(dim, data)?
            };
            Ok(DynArray::$variant(arr))
        }};
    }

    match hdr.dtype {
        DType::Bool => load_typed!(bool, Bool),
        DType::U8 => load_typed!(u8, U8),
        DType::U16 => load_typed!(u16, U16),
        DType::U32 => load_typed!(u32, U32),
        DType::U64 => load_typed!(u64, U64),
        DType::U128 => load_typed!(u128, U128),
        DType::I8 => load_typed!(i8, I8),
        DType::I16 => load_typed!(i16, I16),
        DType::I32 => load_typed!(i32, I32),
        DType::I64 => load_typed!(i64, I64),
        DType::I128 => load_typed!(i128, I128),
        DType::F32 => load_typed!(f32, F32),
        DType::F64 => load_typed!(f64, F64),
        DType::Complex32 => {
            load_complex32_dynamic(reader, total, dim, hdr.fortran_order, hdr.endianness)
        }
        DType::Complex64 => {
            load_complex64_dynamic(reader, total, dim, hdr.fortran_order, hdr.endianness)
        }
        _ => Err(FerrayError::invalid_dtype(format!(
            "unsupported dtype {:?} for .npy loading",
            hdr.dtype
        ))),
    }
}

/// Read complex64 (Complex<f32>) data via raw bytes.
fn load_complex32_dynamic<R: Read>(
    reader: &mut R,
    total: usize,
    dim: IxDyn,
    fortran_order: bool,
    endian: Endianness,
) -> FerrayResult<DynArray> {
    let byte_count = total * 8;
    let mut raw = vec![0u8; byte_count];
    reader.read_exact(&mut raw)?;

    if endian.needs_swap() {
        for chunk in raw.chunks_exact_mut(4) {
            chunk.reverse();
        }
    }

    load_complex32_from_bytes_copy(&raw, total, dim, fortran_order)
}

/// Build a Complex32 DynArray from raw bytes, respecting Fortran order.
fn load_complex32_from_bytes_copy(
    bytes: &[u8],
    total: usize,
    dim: IxDyn,
    fortran_order: bool,
) -> FerrayResult<DynArray> {
    use num_complex::Complex;

    // Parse raw bytes into Vec<Complex<f32>> by reading f32 pairs
    let mut data = Vec::with_capacity(total);
    for chunk in bytes.chunks_exact(8) {
        let re = f32::from_ne_bytes([chunk[0], chunk[1], chunk[2], chunk[3]]);
        let im = f32::from_ne_bytes([chunk[4], chunk[5], chunk[6], chunk[7]]);
        data.push(Complex::new(re, im));
    }

    let arr = if fortran_order {
        Array::<Complex<f32>, IxDyn>::from_vec_f(dim, data)?
    } else {
        Array::<Complex<f32>, IxDyn>::from_vec(dim, data)?
    };
    Ok(DynArray::Complex32(arr))
}

/// Read complex128 (Complex<f64>) data via raw bytes.
fn load_complex64_dynamic<R: Read>(
    reader: &mut R,
    total: usize,
    dim: IxDyn,
    fortran_order: bool,
    endian: Endianness,
) -> FerrayResult<DynArray> {
    let byte_count = total * 16;
    let mut raw = vec![0u8; byte_count];
    reader.read_exact(&mut raw)?;

    if endian.needs_swap() {
        for chunk in raw.chunks_exact_mut(8) {
            chunk.reverse();
        }
    }

    load_complex64_from_bytes_copy(&raw, total, dim, fortran_order)
}

fn load_complex64_from_bytes_copy(
    bytes: &[u8],
    total: usize,
    dim: IxDyn,
    fortran_order: bool,
) -> FerrayResult<DynArray> {
    use num_complex::Complex;

    // Parse raw bytes into Vec<Complex<f64>> by reading f64 pairs
    let mut data = Vec::with_capacity(total);
    for chunk in bytes.chunks_exact(16) {
        let re = f64::from_ne_bytes([
            chunk[0], chunk[1], chunk[2], chunk[3], chunk[4], chunk[5], chunk[6], chunk[7],
        ]);
        let im = f64::from_ne_bytes([
            chunk[8], chunk[9], chunk[10], chunk[11], chunk[12], chunk[13], chunk[14], chunk[15],
        ]);
        data.push(Complex::new(re, im));
    }

    let arr = if fortran_order {
        Array::<Complex<f64>, IxDyn>::from_vec_f(dim, data)?
    } else {
        Array::<Complex<f64>, IxDyn>::from_vec(dim, data)?
    };
    Ok(DynArray::Complex64(arr))
}

/// Save a `DynArray` to a `.npy` file.
pub fn save_dynamic<P: AsRef<Path>>(path: P, array: &DynArray) -> FerrayResult<()> {
    let file = File::create(path.as_ref()).map_err(|e| {
        FerrayError::io_error(format!(
            "failed to create file '{}': {e}",
            path.as_ref().display()
        ))
    })?;
    let mut writer = BufWriter::new(file);
    save_dynamic_to_writer(&mut writer, array)
}

/// Save a `DynArray` to a writer in `.npy` format.
pub fn save_dynamic_to_writer<W: Write>(writer: &mut W, array: &DynArray) -> FerrayResult<()> {
    macro_rules! save_typed {
        ($arr:expr, $dtype:expr, $ty:ty) => {{
            header::write_header(writer, $dtype, $arr.shape(), false)?;
            if let Some(s) = $arr.as_slice() {
                <$ty as NpyElement>::write_slice(s, writer)?;
            } else {
                return Err(FerrayError::io_error(
                    "cannot save non-contiguous DynArray to .npy",
                ));
            }
        }};
    }

    match array {
        DynArray::Bool(a) => save_typed!(a, DType::Bool, bool),
        DynArray::U8(a) => save_typed!(a, DType::U8, u8),
        DynArray::U16(a) => save_typed!(a, DType::U16, u16),
        DynArray::U32(a) => save_typed!(a, DType::U32, u32),
        DynArray::U64(a) => save_typed!(a, DType::U64, u64),
        DynArray::U128(a) => save_typed!(a, DType::U128, u128),
        DynArray::I8(a) => save_typed!(a, DType::I8, i8),
        DynArray::I16(a) => save_typed!(a, DType::I16, i16),
        DynArray::I32(a) => save_typed!(a, DType::I32, i32),
        DynArray::I64(a) => save_typed!(a, DType::I64, i64),
        DynArray::I128(a) => save_typed!(a, DType::I128, i128),
        DynArray::F32(a) => save_typed!(a, DType::F32, f32),
        DynArray::F64(a) => save_typed!(a, DType::F64, f64),
        DynArray::Complex32(a) => {
            header::write_header(writer, DType::Complex32, a.shape(), false)?;
            save_complex_raw(a.as_slice(), 8, writer)?;
        }
        DynArray::Complex64(a) => {
            header::write_header(writer, DType::Complex64, a.shape(), false)?;
            save_complex_raw(a.as_slice(), 16, writer)?;
        }
        _ => {
            return Err(FerrayError::invalid_dtype(
                "unsupported DynArray variant for .npy saving",
            ));
        }
    }

    writer.flush()?;
    Ok(())
}

/// Write complex array data as raw bytes without naming the Complex type.
/// `elem_size` is the total size per element (8 for Complex<f32>, 16 for Complex<f64>).
fn save_complex_raw<T, W: Write>(
    slice_opt: Option<&[T]>,
    elem_size: usize,
    writer: &mut W,
) -> FerrayResult<()> {
    let slice = slice_opt
        .ok_or_else(|| FerrayError::io_error("cannot save non-contiguous complex array"))?;
    let byte_len = slice.len() * elem_size;
    let bytes = unsafe { std::slice::from_raw_parts(slice.as_ptr() as *const u8, byte_len) };
    writer.write_all(bytes)?;
    Ok(())
}

/// Build a dimension value of type `D` from a shape slice.
fn build_dimension<D: Dimension>(shape: &[usize]) -> FerrayResult<D> {
    build_dim_from_shape::<D>(shape)
}

/// Helper to build a dimension from a shape slice.
/// This works for all fixed dimensions (Ix0-Ix6) and IxDyn.
fn build_dim_from_shape<D: Dimension>(shape: &[usize]) -> FerrayResult<D> {
    use ferray_core::dimension::*;
    use std::any::Any;

    if let Some(ndim) = D::NDIM {
        if shape.len() != ndim {
            return Err(FerrayError::shape_mismatch(format!(
                "expected {ndim} dimensions, got {}",
                shape.len()
            )));
        }
    }

    let type_id = std::any::TypeId::of::<D>();

    macro_rules! try_dim {
        ($dim_ty:ty, $dim_val:expr) => {
            if type_id == std::any::TypeId::of::<$dim_ty>() {
                let boxed: Box<dyn Any> = Box::new($dim_val);
                return Ok(*boxed.downcast::<D>().unwrap());
            }
        };
    }

    try_dim!(IxDyn, IxDyn::new(shape));

    match shape.len() {
        0 => {
            try_dim!(Ix0, Ix0);
        }
        1 => {
            try_dim!(Ix1, Ix1::new([shape[0]]));
        }
        2 => {
            try_dim!(Ix2, Ix2::new([shape[0], shape[1]]));
        }
        3 => {
            try_dim!(Ix3, Ix3::new([shape[0], shape[1], shape[2]]));
        }
        4 => {
            try_dim!(Ix4, Ix4::new([shape[0], shape[1], shape[2], shape[3]]));
        }
        5 => {
            try_dim!(
                Ix5,
                Ix5::new([shape[0], shape[1], shape[2], shape[3], shape[4]])
            );
        }
        6 => {
            try_dim!(
                Ix6,
                Ix6::new([shape[0], shape[1], shape[2], shape[3], shape[4], shape[5]])
            );
        }
        _ => {}
    }

    Err(FerrayError::io_error(
        "unsupported dimension type for .npy loading",
    ))
}

// ---------------------------------------------------------------------------
// NpyElement trait -- sealed, provides binary read/write for each element type
// ---------------------------------------------------------------------------

/// Trait for element types that support .npy binary serialization.
///
/// This is sealed and implemented for all primitive `Element` types
/// (excluding Complex, which is handled via raw byte I/O in the dynamic path).
pub trait NpyElement: Element + private::NpySealed {
    /// Write a contiguous slice of elements to a writer in native byte order.
    fn write_slice<W: Write>(data: &[Self], writer: &mut W) -> FerrayResult<()>;

    /// Read `count` elements from a reader, applying byte-swapping if needed.
    fn read_vec<R: Read>(
        reader: &mut R,
        count: usize,
        endian: Endianness,
    ) -> FerrayResult<Vec<Self>>;
}

mod private {
    pub trait NpySealed {}
}

// ---------------------------------------------------------------------------
// Macro for implementing NpyElement for primitive numeric types
// ---------------------------------------------------------------------------

macro_rules! impl_npy_element {
    ($ty:ty, $size:expr) => {
        impl private::NpySealed for $ty {}

        impl NpyElement for $ty {
            fn write_slice<W: Write>(data: &[$ty], writer: &mut W) -> FerrayResult<()> {
                for &val in data {
                    writer.write_all(&val.to_ne_bytes())?;
                }
                Ok(())
            }

            fn read_vec<R: Read>(
                reader: &mut R,
                count: usize,
                endian: Endianness,
            ) -> FerrayResult<Vec<$ty>> {
                let mut result = Vec::with_capacity(count);
                let mut buf = [0u8; $size];
                let needs_swap = endian.needs_swap();
                for _ in 0..count {
                    reader.read_exact(&mut buf)?;
                    let val = if needs_swap {
                        <$ty>::from_ne_bytes({
                            buf.reverse();
                            buf
                        })
                    } else {
                        <$ty>::from_ne_bytes(buf)
                    };
                    result.push(val);
                }
                Ok(result)
            }
        }
    };
}

// Bool -- special case
impl private::NpySealed for bool {}

impl NpyElement for bool {
    fn write_slice<W: Write>(data: &[bool], writer: &mut W) -> FerrayResult<()> {
        for &val in data {
            writer.write_all(&[val as u8])?;
        }
        Ok(())
    }

    fn read_vec<R: Read>(
        reader: &mut R,
        count: usize,
        _endian: Endianness,
    ) -> FerrayResult<Vec<bool>> {
        let mut result = Vec::with_capacity(count);
        let mut buf = [0u8; 1];
        for _ in 0..count {
            reader.read_exact(&mut buf)?;
            result.push(buf[0] != 0);
        }
        Ok(result)
    }
}

impl_npy_element!(u8, 1);
impl_npy_element!(u16, 2);
impl_npy_element!(u32, 4);
impl_npy_element!(u64, 8);
impl_npy_element!(u128, 16);
impl_npy_element!(i8, 1);
impl_npy_element!(i16, 2);
impl_npy_element!(i32, 4);
impl_npy_element!(i64, 8);
impl_npy_element!(i128, 16);
impl_npy_element!(f32, 4);
impl_npy_element!(f64, 8);

#[cfg(test)]
mod tests {
    use super::*;
    use ferray_core::dimension::{Ix1, Ix2};
    use std::io::Cursor;

    /// Create a temporary directory for tests that auto-cleans on drop.
    fn test_dir() -> std::path::PathBuf {
        let dir = std::env::temp_dir().join(format!("ferray_io_test_{}", std::process::id()));
        let _ = std::fs::create_dir_all(&dir);
        dir
    }

    fn test_file(name: &str) -> std::path::PathBuf {
        let dir = test_dir();
        dir.join(name)
    }

    #[test]
    fn roundtrip_f64_1d() {
        let data = vec![1.0_f64, 2.0, 3.0, 4.0, 5.0];
        let arr = Array::<f64, Ix1>::from_vec(Ix1::new([5]), data.clone()).unwrap();

        let path = test_file("rt_f64_1d.npy");
        save(&path, &arr).unwrap();
        let loaded: Array<f64, Ix1> = load(&path).unwrap();

        assert_eq!(loaded.shape(), &[5]);
        assert_eq!(loaded.as_slice().unwrap(), &data[..]);
        let _ = std::fs::remove_file(&path);
    }

    #[test]
    fn roundtrip_f32_2d() {
        let data = vec![1.0_f32, 2.0, 3.0, 4.0, 5.0, 6.0];
        let arr = Array::<f32, Ix2>::from_vec(Ix2::new([2, 3]), data.clone()).unwrap();

        let path = test_file("rt_f32_2d.npy");
        save(&path, &arr).unwrap();
        let loaded: Array<f32, Ix2> = load(&path).unwrap();

        assert_eq!(loaded.shape(), &[2, 3]);
        assert_eq!(loaded.as_slice().unwrap(), &data[..]);
        let _ = std::fs::remove_file(&path);
    }

    #[test]
    fn roundtrip_i32() {
        let data = vec![10i32, 20, 30, 40];
        let arr = Array::<i32, Ix1>::from_vec(Ix1::new([4]), data.clone()).unwrap();

        let path = test_file("rt_i32.npy");
        save(&path, &arr).unwrap();
        let loaded: Array<i32, Ix1> = load(&path).unwrap();
        assert_eq!(loaded.as_slice().unwrap(), &data[..]);
        let _ = std::fs::remove_file(&path);
    }

    #[test]
    fn roundtrip_i64() {
        let data = vec![100i64, 200, 300];
        let arr = Array::<i64, Ix1>::from_vec(Ix1::new([3]), data.clone()).unwrap();

        let path = test_file("rt_i64.npy");
        save(&path, &arr).unwrap();
        let loaded: Array<i64, Ix1> = load(&path).unwrap();
        assert_eq!(loaded.as_slice().unwrap(), &data[..]);
        let _ = std::fs::remove_file(&path);
    }

    #[test]
    fn roundtrip_u8() {
        let data = vec![0u8, 128, 255];
        let arr = Array::<u8, Ix1>::from_vec(Ix1::new([3]), data.clone()).unwrap();

        let path = test_file("rt_u8.npy");
        save(&path, &arr).unwrap();
        let loaded: Array<u8, Ix1> = load(&path).unwrap();
        assert_eq!(loaded.as_slice().unwrap(), &data[..]);
        let _ = std::fs::remove_file(&path);
    }

    #[test]
    fn roundtrip_bool() {
        let data = vec![true, false, true, true, false];
        let arr = Array::<bool, Ix1>::from_vec(Ix1::new([5]), data.clone()).unwrap();

        let path = test_file("rt_bool.npy");
        save(&path, &arr).unwrap();
        let loaded: Array<bool, Ix1> = load(&path).unwrap();
        assert_eq!(loaded.as_slice().unwrap(), &data[..]);
        let _ = std::fs::remove_file(&path);
    }

    #[test]
    fn roundtrip_in_memory() {
        let data = vec![1.0_f64, 2.0, 3.0];
        let arr = Array::<f64, Ix1>::from_vec(Ix1::new([3]), data.clone()).unwrap();

        let mut buf = Vec::new();
        save_to_writer(&mut buf, &arr).unwrap();

        let mut cursor = Cursor::new(buf);
        let loaded: Array<f64, Ix1> = load_from_reader(&mut cursor).unwrap();
        assert_eq!(loaded.as_slice().unwrap(), &data[..]);
    }

    #[test]
    fn load_dynamic_f64() {
        let data = vec![1.0_f64, 2.0, 3.0];
        let arr = Array::<f64, Ix1>::from_vec(Ix1::new([3]), data).unwrap();

        let path = test_file("dyn_f64.npy");
        save(&path, &arr).unwrap();
        let dyn_arr = load_dynamic(&path).unwrap();

        assert_eq!(dyn_arr.dtype(), DType::F64);
        assert_eq!(dyn_arr.shape(), &[3]);
        let _ = std::fs::remove_file(&path);
    }

    #[test]
    fn load_wrong_dtype_error() {
        let data = vec![1.0_f64, 2.0, 3.0];
        let arr = Array::<f64, Ix1>::from_vec(Ix1::new([3]), data).unwrap();

        let path = test_file("wrong_dtype.npy");
        save(&path, &arr).unwrap();

        let result = load::<f32, Ix1, _>(&path);
        assert!(result.is_err());
        let _ = std::fs::remove_file(&path);
    }

    #[test]
    fn load_wrong_ndim_error() {
        let data = vec![1.0_f64, 2.0, 3.0];
        let arr = Array::<f64, Ix1>::from_vec(Ix1::new([3]), data).unwrap();

        let path = test_file("wrong_ndim.npy");
        save(&path, &arr).unwrap();

        let result = load::<f64, Ix2, _>(&path);
        assert!(result.is_err());
        let _ = std::fs::remove_file(&path);
    }

    #[test]
    fn roundtrip_dynamic() {
        let data = vec![10i32, 20, 30];
        let arr = Array::<i32, IxDyn>::from_vec(IxDyn::new(&[3]), data.clone()).unwrap();
        let dyn_arr = DynArray::I32(arr);

        let path = test_file("rt_dynamic.npy");
        save_dynamic(&path, &dyn_arr).unwrap();

        let loaded = load_dynamic(&path).unwrap();
        assert_eq!(loaded.dtype(), DType::I32);
        assert_eq!(loaded.shape(), &[3]);

        let loaded_arr = loaded.try_into_i32().unwrap();
        assert_eq!(loaded_arr.as_slice().unwrap(), &data[..]);
        let _ = std::fs::remove_file(&path);
    }

    #[test]
    fn load_dynamic_ixdyn() {
        let data = vec![1.0_f64, 2.0, 3.0, 4.0, 5.0, 6.0];
        let arr = Array::<f64, Ix2>::from_vec(Ix2::new([2, 3]), data.clone()).unwrap();

        let path = test_file("dyn_ixdyn.npy");
        save(&path, &arr).unwrap();

        // Load as IxDyn
        let loaded: Array<f64, IxDyn> = load(&path).unwrap();
        assert_eq!(loaded.shape(), &[2, 3]);
        assert_eq!(loaded.as_slice().unwrap(), &data[..]);
        let _ = std::fs::remove_file(&path);
    }
}