iTensorpy v0.3.1

[Klaudiusz321]

itensorpy v0.3.1

Released: 2025-05-18

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🚀 New Features

• Advanced Tensor Operations

  • Element-wise addition, subtraction, multiplication & division
  • Tensor contraction (automatic index reduction)
  • Axis permutation via transpose(...)
  • Shape reshaping via reshape(...)
  • General Einstein summation support via einsum(...)

• Multi-Dimensional Tensor Support

  • Fully n-dimensional (ndim) tensors (3D, 4D, 5D, …)
  • Automatic shape checking & management
  • Seamless import from / export to NumPy arrays

• Differential Calculus Module

  • Gradient ∇f for scalar fields
  • Divergence ∇·F for vector fields of arbitrary dimension
  • Laplacian ∇²f for scalar fields
  • Curl ∇×F for 3D vector fields
  • Jacobian & Hessian calculations

• Advanced Matrix Operations

  • Classic matrix multiplication & tensor-product support (matmul)
  • Matrix inversion with singularity checks (inverse)
  • Determinant calculation (det)
  • Eigenvalue & eigenvector extraction (eigen)
  • Solving linear systems A x = b (solve)

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🛠️ Enhancements

• Refactored into modular mix-ins for clean separation of concerns
• Unified core classes (TensorND, Field, MatrixOps) aggregating functionality
• Improved error messages and input validation
• Added from_numpy / to_numpy convenience methods
• Updated version number to 0.2.5; no breaking changes from 0.2.4

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📦 Packaging & Interop

• Builds artifacts under dist/: wheel + sdist
• Full support for both SymPy ND arrays and Python/NumPy inputs
• CI workflow updated to auto-publish on GitHub tag push

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📝 Usage

See the documentation for full examples and API reference.

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If you encounter any issues or have feature requests, please open an issue.
Thank you for using itensorpy!

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This discussion was created from the release iTensorpy v0.3.1.