v1.4.0

This is a minor release from v1.3.4 → v1.4.0.

• Require Python 3.9+, dropping support for Python 3.7 and Python 3.8 which are end of life.

What's Changed

• build: Require Python 3.9+ by @matthewfeickert in #68
• docs: Add release notes for v1.4.0 by @matthewfeickert in #69

Full Changelog: v1.3.4...v1.4.0

v1.3.4

This is a patch release from v1.3.3 → v1.3.4.

• Removed dependency on six.
• Used modern TensorFlow and Keras to support Python 3.7+.
• Require NumPy v1.17.0+ to support recommended use of numpy.random.default_rng over numpy.random.random.
• Added optional rng and seed arguments to energyflow.gen_random_events and energyflow.gen_random_events_mcom to allow passing of a numpy.random.Generator.
• Adopted hatchling as the build backend.
• Added support for NumPy 2.0.

What's Changed

• fix: Remove check on keras version by @matthewfeickert in #32
• ci: Update CI run triggers by @matthewfeickert in #39
• fix: Use importlib.metadata.version to determine POT version by @matthewfeickert in #34
• build: Change dependency name to 'igraph' by @matthewfeickert in #36
• fix: Add support for NumPy 2.0 by @matthewfeickert in #41
• ci: Add pre-commit by @j-s-ashley in #40
• fix: Use keras v2 by @j-s-ashley in #46
• fix: Remove multiprocessing dependence on global array by @j-s-ashley in #49
• build: Use Hatch by @j-s-ashley in #42
• ci: Build wheels in separate workflow by @j-s-ashley in #43
• Update GitHub Actions with dependabot by @j-s-ashley in #50
• tests: Move tests out of package directory structure by @matthewfeickert in #54
• docs: Update to 'thaler-lab' GitHub org by @matthewfeickert in #53
• Add .git-blame-ignore-revs by @j-s-ashley in #48
• Bump the actions group with 2 updates by @dependabot in #52
• fix: Use numpy.random.generator with seed by @matthewfeickert in #55
• ci: Add x86_64 macOS and Python 3.11 and Python 3.12 to testing by @matthewfeickert in #56
• docs: Add Rikab and Jordan as maintainers by @matthewfeickert in #57
• build: Remove dependency on six by @matthewfeickert in #58
• build: Use hatch-vcs to version from vcs by @matthewfeickert in #59
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #61
• chore: Use a src directory project layout by @matthewfeickert in #60
• docs: Add v1.3.4 release notes by @matthewfeickert in #64
• build: Disallow h5py v3.11.0 by @matthewfeickert in #62
• ci: Add workflow for uploading wheels to PyPI by @j-s-ashley in #44
• ci: Correct environment names for trusted publishers by @matthewfeickert in #66

New Contributors

• @j-s-ashley made their first contribution in #40
• @dependabot made their first contribution in #52
• @pre-commit-ci made their first contribution in #61

Full Changelog: v1.3.3...v1.3.4

v1.3.3

Fixed dependence on deprecated tensorflow.keras.__version__ that caused EFNs and PFNs to be unimportable.

Fixed dependence on deprecated np.int.

Moved default dataset pointers to more stable Zenodo links.

v1.3.2

1.3.2

• Fixed typo in MODDataset code that caused abs_gen_jet_y and abs_get_jet_eta to be invalid selectors.
• Added mass option to ptyphims_from_p4s to mirror ptyphims_from_pjs.

v1.3.0

• 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.)

v1.2.0

• 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.

v1.1.3

• 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.

v1.1.2

• Remove extraneous warning from setting multiprocessing start method on OSX.

v1.1.1

• Try to set multiprocessing start method to 'fork' in order for EMD multicore functionality to work, warn if the context has already been set otherwise.

v1.1.0

• Changed default EFP behavior when kappa≠1 and added option to revert to original behavior if desired. See the EFP Measures page for more details.
• Explicitly cast some numpy arrays as object arrays to avoid deprecation warnings.
• Cached EFP file info after the first time it is accessed to improve speed.
• Added Python 3.8 to Travis CI testing.
• Deployment to PyPI via Travis CI.