rust-numpy

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Update pyo3 to 0.22.0 (without "py-clone")

15

This PR builds on #431 to migrate to PyO3 0.22.0 without needing to activate the problematic `py-clone` feature. ## Background PyO3 recently released version 0.22.0 which includes [many new features](https://pyo3.rs/v0.22.0/changelog),...

JRRudy1

magnusuMET

Support for `pyo3 = "^0.22.0"`

1

The current release for `rust-numpy` (v0.21.0) does not support the latest `pyo3` version. ```sh $ cargo add numpy Updating crates.io index Adding numpy v0.21.0 to dependencies Features: - half -...

SnowCheetos

Please consider clarifying use of unsafe in README example

4

Thanks for providing this amazing library! The code example given in this project's README file demonstrates the use of PyO3. I guess that it should also serve as a pedagogical...

grothesque

The `PyReadwriteArray` understands the flag during the dynamic borrow checking, this just adds a way to set it on an array as well. This is a safe subset of what...

jakelishman

Interface for making a `PyArray` non-writeable

9

I'm using `PyArray::from_borrowed_array_bound` to expose an immutable data buffer from a Rust struct to Python space via Numpy. The type needs to uphold some invariants about its internal data, which...

jakelishman

Support for PyO3 0.23

1

I'm looking at using rust-numpy with the free-threaded Python build and it looks like the first blocker is 0.23 support. The error I hit out of the box after pointing...

ngoldbaum

Relates #455 For personal testing a created a branch targeting PyO3 0.23-dev from `main`. I thought I'll leave that here. Once pyo3 0.23 releases, this can probably be split up...

Icxolu

Converting ndarray::Array2 into numpy::ndarray::Array2

3

I'm calling another library that doesn't use the numpy crate. It only uses the "vanilla" ndarray crate, and as such returns an ndarray::Array2 object. For the life of me, I...

jondoesntgit

Numpy2 support fails when running with 32-bit windows

1

In #442 we identified a few issues when running against 32-bit windows. With numpy2 some tests fail because the dtype `ELSIZE` is incorrectly returning 0, while with numpy1 some examples...

maffoo