[release] Merge pre-0.7 into main for the release of v0.7.0 (#251)

As title.

Author: forfudan

.github/workflows/run_tests.yaml

@@ -53,3 +53,4 @@ jobs:
         run: |
           magic install
           magic run mojo test tests -I .
+          magic run mojo test tests/core/test_matrix.mojo -I . -D F_CONTIGUOUS

.gitignore

@@ -13,6 +13,7 @@
 # magic environments
 .magic
 magic.lock
+pixi.lock
 
 # pixi environments
 .pixi

README.MD

@@ -162,11 +162,11 @@ from numojo.prelude import *
 
 fn main() raises:
     # Create a complexscalar 5 + 5j
-    var complexscalar = ComplexSIMD[cf32](re=5, im=5) 
+    var complexscalar = ComplexSIMD[f32](re=5, im=5) 
     # Create complex array filled with (5 + 5j)
-    var A = nm.full[cf32](Shape(1000, 1000), fill_value=complexscalar)
+    var A = nm.full[f32](Shape(1000, 1000), fill_value=complexscalar)
     # Create complex array filled with (1 + 1j)
-    var B = nm.ones[cf32](Shape(1000, 1000))
+    var B = nm.ones[f32](Shape(1000, 1000))
 
     # Print array
     print(A)
@@ -187,29 +187,31 @@ fn main() raises:
 
 There are three approach to install and use the Numojo package.
 
-### Use magic CLI
+### Add `numojo` in `pixi.toml`
 
-You can use the following command in the terminal to install `numojo`.
+You can add the package `numojo` of a specific version in the dependencies section of your toml file.
 
-```console
-magic add numojo 
+```toml
+[dependencies]
+numojo = "=0.7.0"
 ```
 
-### Add in toml file
+Then, you can run `pixi install` to install the package.
 
-You can add `numojo` in the dependencies section of your toml file.
+The following table shows the version of `numojo` and the corresponding version of `mojo` that is required.
 
-```toml
-[dependencies]
-numojo = "=0.6"
-```
+| `numojo` | `mojo` |
+| -------- | ------ |
+| v0.7.0   | ==25.3 |
+| v0.6.1   | ==25.2 |
+| v0.6.0   | ==25.2 |
 
 ### Build package
 
 This approach involves building a standalone package file `mojopkg`.
 
 1. Clone the repository.
-2. Build the package using `magic run package`.
+2. Build the package using `pixi run package`.
 3. Move the `numojo.mojopkg` into the directory containing the your code.
 
 ### Include NuMojo's path for compiler and LSP

docs/changelog.md

@@ -2,6 +2,41 @@
 
 This is a list of RELEASED changes for the NuMojo Package.
 
+## 01/06/2025 (v0.7.0)
+
+### ⭐️ New
+
+- Implement the `take_along_axis()` method. This method allows you to take elements from an array along a specified axis, using the indices provided in another array ([PR #226](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/226)).
+- Add support for column-major memory layout for the `Matrix` type and for all matrix routines ([PR #232](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/232), [PR #233](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/233), [PR #234](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/234)).
+- Add eigenvalue decomposition for symmetric matrices ([PR #238](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/238)).
+
+### 🦋 Changed
+
+- Update the syntax to accommodate to Mojo 25.3 ([PR #245](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/245)).
+- Migrate Magic to Pixi ([PR #250](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/250)).
+- Improve the getter methods for `ComplexNDArray` ([PR #229](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/229)).
+- Re-write the `argmax()` and `argmin()` methods to return indices along given axis ([PR #230](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/230)).
+- Replaced IO backend with NumPy ([PR #250](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/250)).
+
+### ❌ Removed
+
+- Remove the `numojo.CDType` (Complex Data Type) ([PR #231](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/231)). We will use the standard `CDType` from Mojo instead.
+- Temporarily remove type coercion (`TypeCoercion`) until a better solution is available ([PR #242](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/242)). For now, please use implicit casting to convert arrays to targeted data types.
+- Remove redundant `self: Self` ([PR #246](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/246)).
+
+### 🛠️ Fixed
+
+- Fixed broken links in zhs and zht readme files ([Issue #239](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/issues/239), [PR #240](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/240)).
+- Fix error in division of an array and a scalar ([PR #244](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/244)).
+
+### 📚 Documentatory and testing
+
+## 08/03/2025 (v0.6.1)
+
+### 🛠️ Fixed
+
+Fix the bug that numojo crashes on "mojopkg" ([PR #227](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo/pull/227)).
+
 ## 28/02/2025 (v0.6)
 
 ### ⭐️ New

docs/readme_zhs.md

@@ -38,7 +38,7 @@ NuMojo 也可为其他需要高速数值计算、多维数组运算等功能的
 
 ## 目标及路线图
 
-有关本项目详细的路线图，请参阅 [roadmap.md](../roadmap.md) 文件（英文）。
+有关本项目详细的路线图，请参阅 [roadmap.md](./roadmap.md) 文件（英文）。
 
 我们的核心目标，是使用 Mojo 实现一个快速、全面的数值计算库。以下是部分长期目标：
 
@@ -83,7 +83,7 @@ fn main() raises:
     var A_item = A.item(291, 141)
 ```
 
-请在 [此文档](../features.md) 中查询所有可用的函数。
+请在 [此文档](./features.md) 中查询所有可用的函数。
 
 ## 安装方法
 

docs/readme_zht.md

@@ -38,7 +38,7 @@ NuMojo 也可為其他需要高速數值計算、多維數組運算等功能的
 
 ## 目标及路线图
 
-有關本項目詳細的路線圖，請參閱 [roadmap.md](../roadmap.md) 文件（英文）。
+有關本項目詳細的路線圖，請參閱 [roadmap.md](./roadmap.md) 文件（英文）。
 
 我們的核心目標，是使用 Mojo 實現一個快速、全面的數值計算庫。以下是部分長期目標：
 
@@ -82,7 +82,7 @@ fn main() raises:
     var A_item = A.at(291, 141)
 ```
 
-請在 [此文檔](../features.md) 中查詢所有可用的函數。
+請在 [此文檔](./features.md) 中查詢所有可用的函數。
 
 ## 安裝方法
 

docs/style.json

@@ -141,7 +141,7 @@
                 "raisesDoc": "",
                 "returnType": null,
                 "returnsDoc": "",
-                "signature": "func(self: Self)",
+                "signature": "func(self)",
                 "summary": "Function docstring like previosly shown."
               }
             ]
@@ -215,4 +215,4 @@
     ]
   },
   "version": "24.6.0"
-}
+}

mojoproject.toml

@@ -3,7 +3,7 @@ NuMojo is a library for numerical computing in Mojo 🔥
 similar to NumPy, SciPy in Python.
 """
 
-alias __version__ = "V0.5"
+alias __version__ = "V0.7.0"
 
 # ===----------------------------------------------------------------------=== #
 # Import core types
@@ -13,7 +13,6 @@ from numojo.core.ndarray import NDArray
 from numojo.core.ndshape import NDArrayShape, Shape
 from numojo.core.ndstrides import NDArrayStrides, Strides
 from numojo.core.item import Item, item
-from numojo.core.complex.complex_dtype import CDType
 from numojo.core.complex.complex_simd import ComplexSIMD, ComplexScalar
 from numojo.core.complex.complex_ndarray import ComplexNDArray
 from numojo.core.matrix import Matrix
@@ -30,17 +29,6 @@ from numojo.core.datatypes import (
     f16,
     f32,
     f64,
-    ci8,
-    ci16,
-    ci32,
-    ci64,
-    cu8,
-    cu16,
-    cu32,
-    cu64,
-    cf16,
-    cf32,
-    cf64,
 )
 
 # ===----------------------------------------------------------------------=== #

numojo/__init__.mojo

@@ -7,7 +7,6 @@ from .ndshape import NDArrayShape
 from .ndstrides import NDArrayStrides
 
 from .complex import (
-    CDType,
     ComplexSIMD,
     ComplexScalar,
     ComplexNDArray,
@@ -25,17 +24,6 @@ from .datatypes import (
     f16,
     f32,
     f64,
-    ci8,
-    ci16,
-    ci32,
-    ci64,
-    cu8,
-    cu16,
-    cu32,
-    cu64,
-    cf16,
-    cf32,
-    cf64,
 )
 
 # from .utility import