NuMojo v0.3 for Mojo 24.5

NuMojo released changelog

This is a list of RELEASED changes for the NuMojo Package.

14/10/2024 (v0.3)

⭐️ New

• Add support for magic system and MAX 24.5 (PR #91 #109 by @shivasankarka).
• Add some basic functions, e.g., diagflat, tri, trace, T (PR #91 by @shivasankarka).
• Add a constructor which reads arrays from numpy arrays (PR #91 by @shivasankarka).
• Add functions solve and inv for solving linear algebra AX = Y for X, finding inverse of a matrix, and conducting LU decomposition (PR #101 #104 #105 by @forfudan).
• Add itemset method to fill a scalar into an NDArray (PR #102 by @forfudan).
• Add Idx struct to represent the index of an NDArray (PR #118 by @shivasankarka).
• Add NDArray initialization from numpy arrays (PR #118 by @shivasankarka).
• Created a new io module with some basic functions, e.g., format_float_scientific, loadtxt, savetxt (PR #118 by @shivasankarka).

🦋 Changed

• Make some methods, e.g., sort, flatten, inplace (Issue #87 by @mmenendezg, PR #91 by @shivasankarka).
• Modify initialization of NDArray (PR #97 by @MadAlex1997)
• Added Formattable trait and fixed the print function (PR #108 by @shivasankarka)
• Refine the NDArray initializers and array creation routines (Discussion #90, Issue #110).
  • Remove random argument from NDArray constructors. Make random initializer a standalone functions (Issue #96 by @MadAlex1997, PR #97 by @MadAlex1997, PR #98 by @shivasankarka).
  • Remove initializers from String. Make fromstring a standalone function (#113 by @forfudan).
  • Add several array overloads for initializing NDArray (PR #118 by @shivasankarka).
• Modify the behavior of __get__ and __set__. Passing in a sequence of Int or Slice returns an NDArray. Passing in an Idx returns a scalar. Allow users to set a multiple items in one NDArray with another NDArray, using __set__ (PR #118 by @shivasankarka, Discussion #70).

❌ Removed

• Removed all instances of getters and setters with List[Int], VariadicList[Int] (PR #118 by @shivasankarka).

🛠️ Fixed

• Fix the issues in parallelization (due to Max 24.5) for some linear algebra functions, e.g, matmul, solve, inv, etc (PR #115 #117 by @forfudan).

📚 Documentary and testing

• Add workflows with unit tests and linting (PR #95 by @sandstromviktor).
• Add multi-lingual support (Chinese, Japanese) for the readme file (PR #99 #120 by @forfudan, PR #100 by @shivasankarka).
• Update the test flow file to accommodate MAX 24.5 and the magic system (PR #116 by @forfudan).

17/08/2024 (V0.2)

⭐️ New

Array operations:

• Introduced diagflat() method for creating diagonal arrays
• Implemented most basic array creation routines
• Implemented initializer from string numojo.NDArray("[[1,2,3],[4,5,6]]")
• Enhanced NDArray constructor methods
• Added boolean masking for NDArrays
• Introduced new mathematical methods: floordiv, mod, and more
• __getitem__ and __setitem__ now fully compatible with NumPy behavior

Others:

• Introduced Rust-like data type aliases (e.g., DType.float64 → f64)
• Implemented function overloading for core mathematical operations (add, sub, etc.)
• Added a new differentiation module

🦋 Changed

• Improved slicing functionality to match NumPy behavior

❌ Removed

• Removed in_dtype and out_dtype parameters for simplified type handling

📚 Documentatory and testing

Documentation updates:

• Expanded and updated README
• Improved docstrings for functions
• Added style guide and examples

Testing updates:

• Introduced new test files that are compatible with mojo test.

Contributors

• @shivasankarka
• @forfudan
• @MadAlex1997
• @mmenendezg
• @sandstromviktor