Update CHANGELOG.md (#70)

CHANGELOG.md

@@ -4,22 +4,28 @@
 
 ### Breaking Changes
 
+- Minimal python version is now 3.10 in all packages.
 - `cuet.TensorProduct` and `cuet.EquivariantTensorProduct` now require inputs to be of shape `(batch_size, dim)` or `(1, dim)`. Inputs of dimension `(dim,)` are no more allowed.
-- `cuet.TensorProduct` and `cuet.EquivariantTensorProduct` are no more variadic functions. They now require a list of `torch.Tensor` as input.
 - `cuex.IrrepsArray` is an alias for `cuex.RepArray`.
 - `cuex.RepArray.irreps` and `cuex.RepArray.segments` are not functions anymore. They are now properties.
 - `cuex.IrrepsArray.is_simple` is replaced by `cuex.RepArray.is_irreps_array`.
 - The function `cuet.spherical_harmonics` is replaced by the Torch Module `cuet.SphericalHarmonics`. This was done to allow the use of `torch.jit.script` and `torch.compile`.
 
 ### Added
 
-- Add an experimental support for `torch.jit.script` and `torch.compile`. Known issue: the export in c++ is not working.
+- Add an experimental support for `torch.compile`. Known issue: the export in c++ is not working.
 - Add `cue.IrrepsAndLayout`: A simple class that inherits from `cue.Rep` and contains a `cue.Irreps` and a `cue.IrrepsLayout`.
 - Add `cuex.RepArray` for representing an array of any kind of representations (not only irreps like before with `cuex.IrrepsArray`).
 
 ### Fixed
 
 - Add support for empty batch dimension in `cuet` (`cuequivariance_torch`).
+- Move `README.md` and `LICENSE` into the source distribution.
+- Fix `cue.SegmentedTensorProduct.flop_cost` for the special case of 1 operand.
+
+### Improved
+
+- No more special case for degree 0 in `cuet.SymmetricTensorProduct`.
 
 ## 0.1.0 (2024-11-18)