use std::cmp::Ordering; use std::mem::size_of; use ndarray::{array, s, Array2, Array3}; use numpy::{prelude::*, PyArray}; use pyo3::{ py_run, types::{PyAnyMethods, PyDict, PyString}, Python, }; #[test] fn to_pyarray_vec() { Python::with_gil(|py| { #[allow(clippy::useless_vec)] let arr = vec![1, 2, 3].to_pyarray(py); assert_eq!(arr.shape(), [3]); assert_eq!(arr.readonly().as_slice().unwrap(), &[1, 2, 3]) }); } #[test] fn to_pyarray_boxed_slice() { Python::with_gil(|py| { let arr = vec![1, 2, 3].into_boxed_slice().to_pyarray(py); assert_eq!(arr.shape(), [3]); assert_eq!(arr.readonly().as_slice().unwrap(), &[1, 2, 3]) }); } #[test] fn to_pyarray_array() { Python::with_gil(|py| { let arr = Array3::::zeros((3, 4, 2)); let shape = arr.shape().to_vec(); let strides = arr .strides() .iter() .map(|dim| dim * size_of::() as isize) .collect::>(); let py_arr = PyArray::from_array(py, &arr); assert_eq!(py_arr.shape(), shape.as_slice()); assert_eq!(py_arr.strides(), strides.as_slice()); }); } #[test] fn iter_to_pyarray() { Python::with_gil(|py| { let arr = PyArray::from_iter(py, (0..10).map(|x| x * x)); assert_eq!( arr.readonly().as_slice().unwrap(), &[0, 1, 4, 9, 16, 25, 36, 49, 64, 81] ); }); } #[test] fn long_iter_to_pyarray() { Python::with_gil(|py| { let arr = PyArray::from_iter(py, 0_u32..512); assert_eq!( arr.readonly().as_slice().unwrap(), (0_u32..512).collect::>(), ); }); } #[test] fn from_small_array() { macro_rules! small_array_test { ($($t:ty)+) => { $({ Python::with_gil(|py| { let array: [$t; 2] = [<$t>::MIN, <$t>::MAX]; let pyarray = array.to_pyarray(py); assert_eq!( pyarray.readonly().as_slice().unwrap(), &[<$t>::MIN, <$t>::MAX] ); }); })+ }; } small_array_test!(i8 u8 i16 u16 i32 u32 i64 u64 isize usize); } #[test] fn usize_dtype() { Python::with_gil(|py| { let x = vec![1_usize, 2, 3].into_pyarray(py); if cfg!(target_pointer_width = "64") { py_run!(py, x, "assert str(x.dtype) == 'uint64'") } else { py_run!(py, x, "assert str(x.dtype) == 'uint32'") }; }) } #[test] fn into_pyarray_vec() { Python::with_gil(|py| { let arr = vec![1, 2, 3].into_pyarray(py); assert_eq!(arr.readonly().as_slice().unwrap(), &[1, 2, 3]) }); } #[test] fn into_pyarray_boxed_slice() { Python::with_gil(|py| { let arr = vec![1, 2, 3].into_boxed_slice().into_pyarray(py); assert_eq!(arr.readonly().as_slice().unwrap(), &[1, 2, 3]) }); } #[test] fn into_pyarray_array() { Python::with_gil(|py| { let arr = Array3::::zeros((3, 4, 2)); let shape = arr.shape().to_vec(); let strides = arr .strides() .iter() .map(|dim| dim * size_of::() as isize) .collect::>(); let py_arr = arr.into_pyarray(py); assert_eq!(py_arr.shape(), shape.as_slice()); assert_eq!(py_arr.strides(), strides.as_slice()); }); } #[test] fn into_pyarray_cannot_resize() { Python::with_gil(|py| { let arr = vec![1, 2, 3].into_pyarray(py); unsafe { assert!(arr.resize(100).is_err()); } }); } #[test] fn into_pyarray_can_write() { Python::with_gil(|py| { let arr = vec![1, 2, 3].into_pyarray(py); py_run!(py, arr, "assert arr.flags['WRITEABLE']"); py_run!(py, arr, "arr[1] = 4"); }); } #[test] fn collapsed_into_pyarray() { // Check that `into_pyarray` works for array with the pointer of the first element is // not at the start of the allocation. // See https://github.com/PyO3/rust-numpy/issues/182 for more. Python::with_gil(|py| { let mut arr = Array2::::from_shape_fn([3, 4], |(i, j)| (i * 10 + j) as f64); arr.slice_collapse(s![1.., ..]); let cloned_arr = arr.clone(); let py_arr = arr.into_pyarray(py); assert_eq!(py_arr.readonly().as_array(), cloned_arr); }); } #[test] fn sliced_to_pyarray() { Python::with_gil(|py| { let matrix = Array2::from_shape_vec([4, 2], vec![0, 1, 2, 3, 4, 5, 6, 7]).unwrap(); let sliced_matrix = matrix.slice(s![1..4; -1, ..]); let py_arr = sliced_matrix.to_pyarray(py); assert_eq!(py_arr.readonly().as_array(), array![[6, 7], [4, 5], [2, 3]],); py_run!(py, py_arr, "assert py_arr.flags['C_CONTIGUOUS']") }); } #[test] fn forder_to_pyarray() { Python::with_gil(|py| { let matrix = Array2::from_shape_vec([4, 2], vec![0, 1, 2, 3, 4, 5, 6, 7]).unwrap(); let forder_matrix = matrix.reversed_axes(); let py_arr = forder_matrix.to_pyarray(py); assert_eq!( py_arr.readonly().as_array(), array![[0, 2, 4, 6], [1, 3, 5, 7]], ); py_run!(py, py_arr, "assert py_arr.flags['F_CONTIGUOUS']") }); } #[test] fn forder_into_pyarray() { Python::with_gil(|py| { let matrix = Array2::from_shape_vec([4, 2], vec![0, 1, 2, 3, 4, 5, 6, 7]).unwrap(); let forder_matrix = matrix.reversed_axes(); let py_arr = forder_matrix.into_pyarray(py); assert_eq!( py_arr.readonly().as_array(), array![[0, 2, 4, 6], [1, 3, 5, 7]], ); py_run!(py, py_arr, "assert py_arr.flags['F_CONTIGUOUS']") }); } #[test] fn to_pyarray_object_vec() { Python::with_gil(|py| { let dict = PyDict::new(py); let string = PyString::new(py, "Hello:)"); #[allow(clippy::useless_vec)] // otherwise we do not test the right trait impl let vec = vec![dict.into_any().unbind(), string.into_any().unbind()]; let arr = vec.to_pyarray(py); for (a, b) in vec.iter().zip(arr.readonly().as_slice().unwrap().iter()) { assert_eq!( a.bind(py).compare(b).map_err(|e| e.print(py)).unwrap(), Ordering::Equal ); } }); } #[test] fn to_pyarray_object_array() { Python::with_gil(|py| { let mut nd_arr = Array2::from_shape_fn((2, 3), |(_, _)| py.None()); nd_arr[(0, 2)] = PyDict::new(py).into_any().unbind(); nd_arr[(1, 0)] = PyString::new(py, "Hello:)").into_any().unbind(); let py_arr = nd_arr.to_pyarray(py); for (a, b) in nd_arr .as_slice() .unwrap() .iter() .zip(py_arr.readonly().as_slice().unwrap().iter()) { assert_eq!( a.bind(py).compare(b).map_err(|e| e.print(py)).unwrap(), Ordering::Equal ); } }); } #[test] fn slice_container_type_confusion() { Python::with_gil(|py| { let mut nd_arr = Array2::from_shape_fn((2, 3), |(_, _)| py.None()); nd_arr[(0, 2)] = PyDict::new(py).into_any().unbind(); nd_arr[(1, 0)] = PyString::new(py, "Hello:)").into_any().unbind(); let _py_arr = nd_arr.into_pyarray(py); // Dropping `_py_arr` used to trigger a segmentation fault due to calling `Py_DECREF` // on 1, 2 and 3 interpreted as pointers into the Python heap // after having created a `SliceBox` backing `_py_arr`, // c.f. https://github.com/PyO3/rust-numpy/issues/232. let _py_arr = vec![1, 2, 3].into_pyarray(py); }); } #[cfg(feature = "nalgebra")] #[test] fn matrix_to_numpy() { let matrix = nalgebra::Matrix3::::new(0, 1, 2, 3, 4, 5, 6, 7, 8); assert!(nalgebra::RawStorage::is_contiguous(&matrix.data)); Python::with_gil(|py| { let array = matrix.to_pyarray(py); assert_eq!( array.readonly().as_array(), array![[0, 1, 2], [3, 4, 5], [6, 7, 8]], ); }); let matrix = matrix.row(0); assert!(!nalgebra::RawStorage::is_contiguous(&matrix.data)); Python::with_gil(|py| { let array = matrix.to_pyarray(py); assert_eq!(array.readonly().as_array(), array![[0, 1, 2]]); }); let vector = nalgebra::Vector4::::new(-4, 1, 2, 3); Python::with_gil(|py| { let array = vector.to_pyarray(py); assert_eq!(array.readonly().as_array(), array![[-4], [1], [2], [3]]); }); let vector = nalgebra::RowVector2::::new(23, 42); Python::with_gil(|py| { let array = vector.to_pyarray(py); assert_eq!(array.readonly().as_array(), array![[23, 42]]); }); }