Energyflow

Latest version: v1.3.2

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1.4.0

- Removed support for Python 3.6 (necessary to accomodate changes in the Wasserstein library).
- Updated EMD functions depending on POT to account for recent changes in POT internals.
- Updated required Wasserstein version to support arm64 macs.

1.3.x

1.3.2

- Fixed typo in `MODDataset` code that caused `abs_gen_jet_y` and `abs_get_jet_eta` to be invalid selectors.

1.3.1

- Added `mass` option to `ptyphims_from_p4s` to mirror `ptyphims_from_pjs`.

1.3.0

- EMD module now uses Wasserstein package for optimal transport computations by default. This should yield some speed and stability improvements while being mostly transparent to the user.
- EMD Demo updated to use Wasserstein package for EMD computation and correlation dimension calculation.
- `remap_pids` now works on arrays of events (rather than arrays of padded events only.)

1.2.x

1.2.0

- Keras is now imported via Tensorflow.
- Added the ability to concatenate global features directly into the F funciton of an EFN/PFN model. See the `num_global_features` option of the EFN/PFN models.
- In list of tensors in EFN/PFN models, changed how input tensors are listed in order to produce a flattened list.
- Modified internals so that DNN and EFN/PFN models use the same code to construct fully-connected network fragments.

1.1.x

1.1.3

- Added `phi_ref` option to `ptyphims_from_pjs`.
- Simplified `pjs_from_ptyphims` to use `fastjet.PtYPhiM`.
- Simplified multiprocessing usage to avoid setting global start context when trying to use fork.
- Added EFN regression example.

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