Are we ndarray yet?
Nadie ha tomado este issue todavía.
Evaluación
- Dificultad
- 5/5
- Tiempo estimado
- Más de una semana
- Aptitud para principiantes
- 20/100
- Tipo de issue
- Documentación
- Claridad
- Necesita aclaración
- Estado de actividad
- Estancado
- Stack tecnológico
- rust
- Área
- documentation
Línea de trabajo
Start with the checklist in issue #597 and review each linked ndarray issue to determine whether it remains open and immediately actionable. Compare the listed categories and statuses with the referenced issues and pull requests; done means the tracker accurately reflects current work and provides useful starting points for contributors.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Purpose
The idea behind this collection is to provide an index to easily navigate all currently open ndarray's issues which are immediately actionable.
This is meant to be a good starting point for new contributors (e.g. what should I work on?) and it can also help existing contributors to identify trends and hot areas. I have pinned it using GitHub's new feature, so that it doesn't get lost (and stale).
Given that we have ~100 open issues (and more are opened every day), you are very welcome contributing to this taxonomy effort either commenting on this issue or editing it directly (if you have permissions to do so).
I am only adding to this tracker things I can easily understand/where enough context is provided in the issue - if I left something along the way, feel free to add it and to provide more info on it.
New functionality
Documentation
- Guidelines on how to use
ndarray's types in a public API (Similar toVec<T>vs&[T]considerations)
Feature parity
- Equivalent of numpy.where or numpy.nonzero (Issue: https://github.com/rust-ndarray/ndarray/issues/466)
- Kronecker product (or tensor product) (Reference:
np.kron) (Issue: https://github.com/rust-ndarray/ndarray/issues/652)(Ongoing PR: #690) - Scalar versions of standard deviation and variance (Issue: https://github.com/rust-ndarray/ndarray/issues/655)
- Add dstack, vstack, and hstack (Issue: https://github.com/rust-ndarray/ndarray/issues/667)
- Sorting (Issue: https://github.com/rust-ndarray/ndarray/issues/195)
Interop / Finer-grained control
-
Implement ascontiguousarray() or contiguous() method (Issue: https://github.com/rust-ndarray/ndarray/issues/532) - Add
shrink_to_fitmethod (Issue: https://github.com/rust-ndarray/ndarray/issues/427)
Ergonomics
- Implement
multislice_axis!macro (Issue: https://github.com/rust-ndarray/ndarray/issues/593) -
New constructor method for 2D arrays from an iterator of 1D arrays/vectors (Issue: https://github.com/rust-ndarray/ndarray/issues/539)(https://github.com/rust-ndarray/ndarray/issues/609) -
ArrawViewas custom Dynamically Sized Type (Issue: https://github.com/rust-ndarray/ndarray/issues/538) - Use
#[track_caller]to improve panic info #972
Quality of life
- Implement proptest's
Arbitrarytrait forArray(Issue: https://github.com/rust-ndarray/ndarray/issues/596) - Add new type aliases:
ArcArray1andArcArray2(Issue: https://github.com/rust-ndarray/ndarray/issues/661) -
Runrustfmton the project and add it to the CI pipeline (PR: https://github.com/rust-ndarray/ndarray/pull/608) -
Runclippyon the project and take care of the linter warnings (PR: https://github.com/rust-ndarray/ndarray/pull/642)
Other
- Add in-place variants of dimension-changing operations for dynamic-dimensional arrays (Issue: https://github.com/rust-ndarray/ndarray/issues/428)
- Support
Cloneelements instackandselect(Issue: #269)
Improvements
Documentation
- Add a new example to
ndarray-examples - Provide more details on
AxisNewType pattern rationale (Issue: https://github.com/rust-ndarray/ndarray/issues/564) - Document ndarray's equivalent to NumPy's
astype(Issues: https://github.com/rust-ndarray/ndarray/issues/493 , https://github.com/rust-ndarray/ndarray/issues/525) - Improve doc examples for
Zip/azipwith failing examples (Issue: https://github.com/rust-ndarray/ndarray/issues/453)
Error messages / Debugging
- Better messages for incompatible shapes errors (Issue: https://github.com/rust-ndarray/ndarray/issues/449).
-
Better formatting withDebugfor arrays (Issue: https://github.com/rust-ndarray/ndarray/issues/398, PR: https://github.com/rust-ndarray/ndarray/pull/606)
Sharp API edges/corner cases
-
Avoid panicking for zero-length axis inmap_axis/map_axis_mut(Issue: https://github.com/rust-ndarray/ndarray/issues/579) - Refactor all dimension-related traits (Issues: https://github.com/rust-ndarray/ndarray/issues/519 https://github.com/rust-ndarray/ndarray/issues/367)
Core
-
ChangeArrayBase.ptrtoNonNulltype (Issue: https://github.com/rust-ndarray/ndarray/issues/434)(Ongoing PR: #683) - Provide more direct mutable access to shape, strides, and owned data (Issues: https://github.com/rust-ndarray/ndarray/issues/429 https://github.com/rust-ndarray/ndarray/issues/592)
Performance
- Have a look at
sum_3_azip(Issue: https://github.com/rust-ndarray/ndarray/issues/561) - Faster, arbitrary-order iterators (Issue: https://github.com/rust-ndarray/ndarray/issues/469)
- Co-broadcasting/two-sided broadcasting performance fixes #936
- Lenguaje dominante
- Rust
- Estrellas
- 4.3k
- Forks
- 391
- Métricas de merge de PR
- Sin PR fusionados en 30 d
Guía de contribución
No hay ninguna guía de contribución indexada para este repositorio
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Más de rust-ndarray/ndarray
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 72/100
rust-ndarray/ndarray#1612 · 1 comentario ·
-
Dificultad 4/5 3-5 días Aptitud para principiantes 48/100
rust-ndarray/ndarray#1617 · 1 comentario ·
-
Stack overflow in `triu` Abiertobug good first issue
Dificultad 3/5 1-2 días Aptitud para principiantes 68/100
rust-ndarray/ndarray#1615 · 1 comentario ·
-
Dificultad 4/5 3-5 días Aptitud para principiantes 48/100
rust-ndarray/ndarray#1610 ·
-
Dificultad 3/5 1-2 días Aptitud para principiantes 72/100
rust-ndarray/ndarray#1609 ·
Todos los issues de rust-ndarray/ndarray
Issues similares
-
risk:low runtime status:in-progress type:test
Dificultad 1/5 Menos de una hora Aptitud para principiantes 92/100
zeroclaw-labs/zeroclaw#11023 ·
-
good first issue refactor
Dificultad 2/5 1-3 horas Aptitud para principiantes 72/100
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 84/100
EricSpencer00/Resilient#4835 · 1 comentario ·
-
agent:ready documentation
Dificultad 2/5 1-3 horas Aptitud para principiantes 88/100
cesarferreira/stax#890 ·
-
bug
Dificultad 1/5 Menos de una hora Aptitud para principiantes 90/100