panic in as_array_mut

Tái hiện panic bằng ví dụ src/main.rs của issue, sau đó kiểm tra numpy-0.27.1/src/array.rs quanh as_array_mut và borrow/mod.rs quanh PyReadwriteArray::as_array_mut. Kiểm tra cách shape [2, 0] đi đến bước validation của from_shape_ptr trong ndarray. Được xem là hoàn tất khi input này có hành vi thất bại được xác định thay vì panic không được kiểm soát, kèm theo regression coverage cho reproducer.

Hi

When trying to create an PyArray2 we stumbled upon a panic. The following code reproduces it:

src/main.rs:

use numpy::PyArray2;
use pyo3::PyResult;
use numpy::PyArrayMethods;
use pyo3::Python;

fn main() {
    let _ = Python::attach(|py| -> PyResult<()> {
        let array = PyArray2::<f64>::zeros(py, [2, 0], false);
        let mut array_rw = array.readwrite();
        let _array_rw = array_rw.as_array_mut();
        Ok(())
    });
}

Cargo.toml:

[package]
name = "numpy-repro"
version = "0.1.0"
edition = "2024"

[dependencies]
pyo3 = { version = "0.27", features = ["auto-initialize"] }
numpy = "0.27"

Backtrace:

thread 'main' (15879273) panicked at /Users/alexander.kjall/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/ndarray-0.17.2/src/impl_raw_views.rs:297:17:
The strides must not allow any element to be referenced by two different indices
stack backtrace:
   0: __rustc::rust_begin_unwind
             at /rustc/86a49fd71fecd25b0fd20247db0ba95eeceaba28/library/std/src/panicking.rs:689:5
   1: core::panicking::panic_fmt
             at /rustc/86a49fd71fecd25b0fd20247db0ba95eeceaba28/library/core/src/panicking.rs:80:14
   2: <ndarray::ArrayBase<ndarray::RawViewRepr<*mut f64>, ndarray::dimension::dim::Dim<[usize; 2]>, f64>>::from_shape_ptr::<ndarray::shape_builder::StrideShape<ndarray::dimension::dim::Dim<[usize; 2]>>>
             at /Users/alexander.kjall/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/ndarray-0.17.2/src/impl_raw_views.rs:297:17
   3: <ndarray::ArrayBase<ndarray::ViewRepr<&mut f64>, ndarray::dimension::dim::Dim<[usize; 2]>, f64>>::from_shape_ptr::<ndarray::shape_builder::StrideShape<ndarray::dimension::dim::Dim<[usize; 2]>>>
             at /Users/alexander.kjall/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/ndarray-0.17.2/src/impl_views/constructors.rs:220:9
   4: <pyo3::instance::Bound<numpy::array::PyArray<f64, ndarray::dimension::dim::Dim<[usize; 2]>>> as numpy::array::PyArrayMethods<f64, ndarray::dimension::dim::Dim<[usize; 2]>>>::as_array_mut::{closure#0}
             at /Users/alexander.kjall/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/numpy-0.27.1/src/array.rs:1499:36
   5: numpy::array::as_view::<f64, ndarray::dimension::dim::Dim<[usize; 2]>, ndarray::ViewRepr<&mut f64>, <pyo3::instance::Bound<numpy::array::PyArray<f64, ndarray::dimension::dim::Dim<[usize; 2]>>> as numpy::array::PyArrayMethods<f64, ndarray::dimension::dim::Dim<[usize; 2]>>>::as_array_mut::{closure#0}>
             at /Users/alexander.kjall/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/numpy-0.27.1/src/array.rs:1346:21
   6: <pyo3::instance::Bound<numpy::array::PyArray<f64, ndarray::dimension::dim::Dim<[usize; 2]>>> as numpy::array::PyArrayMethods<f64, ndarray::dimension::dim::Dim<[usize; 2]>>>::as_array_mut
             at /Users/alexander.kjall/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/numpy-0.27.1/src/array.rs:1499:9
   7: <numpy::borrow::PyReadwriteArray<f64, ndarray::dimension::dim::Dim<[usize; 2]>>>::as_array_mut
             at /Users/alexander.kjall/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/numpy-0.27.1/src/borrow/mod.rs:509:29
   8: numpy_repro::main::{closure#0}
             at ./src/main.rs:10:34
   9: <pyo3::marker::Python>::attach::<numpy_repro::main::{closure#0}, core::result::Result<(), pyo3::err::PyErr>>
             at /Users/alexander.kjall/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/pyo3-0.27.2/src/marker.rs:426:9
  10: numpy_repro::main
             at ./src/main.rs:7:13
  11: <fn() as core::ops::function::FnOnce<()>>::call_once
             at /rustc/86a49fd71fecd25b0fd20247db0ba95eeceaba28/library/core/src/ops/function.rs:250:5
note: Some details are omitted, run with `RUST_BACKTRACE=full` for a verbose backtrace.

Running with python 3.14.

It would be simpler to expose this error to the python layer if as_array_mut() returned a Result instead of panicking on invalid input :)