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NuMojo released changelog

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

19/10/2024 (v0.3.1)

🛠️ Fixed

  • Fix the matmul function which returns wrong results for small matrices (PR #129).
  • Correct the getter and setter functions, specifically the _adjust_slice (PR #130).

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.