Fix optional dependency

vector was accidentially imported and therefore required.

Vector support and Python 3.12

1.10.2 (16 Apr 2024)

Add support for Python 3.12, drop support for 3.8

Major Features and Improvements

• integrating vector <https://vector.readthedocs.io/en/latest/index.html>_ support for generate: boost_to can be a Momentum Lorentz vector and return the boosted particles as a vector using as_vectors=True.

Requirement changes

Upgrade to TensorFlow > 0.16

Support Python 3.11

Add support for Python 3.11, drop support for 3.7

Pin and upgrade dependencies

Requirement changes

• upgrade to zfit >= 0.10.0 and zfit-physics >= 0.3.0
• pinning uproot and awkward to ~4 and ~1, respectively

Python 3.10 and TensorFlow > 2.7

Upgraded Python and TensorFlow version.

Added tf and tensorflow extra to requirements. If you intend to use
phasespace with TensorFlow in the future (and not another backend like numpy or JAX),
make sure to always install with phasespace[tf].

Requirement changes

• upgrade to TensorFlow >= 2.7
• Python from 3.7 to 3.10 is now supported

1.6.0

• Improved GenMultiDecay to have better control on the decay mass of non-stable particles.
• Added a particle_model_map argument to the GenMultiDecay class. This is a
  dict where the key is a particle name and the value is a mass function name.
  The feature can be seen in the
  GenMultiDecay Tutorial <https://github.com/zfit/phasespace/blob/master/docs/GenMultiDecay_Tutorial.ipynb>_.

1.5.0

New feature allows to build a DecayChain using decaylanguage and generating with phasespace

What's Changed

• DecayLanguage compatibility by @simonthor in #63
• drop Python 3.6 support by @jonas-eschle in #69

Full Changelog: 1.4.2...1.5.0

Allow TensorFlow 2.7

What's Changed

• README - fix charge in GenParticle example by @eduardo-rodrigues in #61
• build: support TF 2.7 by @redeboer in #66

Python 3.9 and TF 2.5 support

Major Features and Improvements

• Support Python 3.9
• Support TensorFlow 2.5
• improved compilation in tf.functions, use of XLA where applicable
• developer: modernization of setup, CI and more

Thanks

• Remco de Boer for many commits and cleanups

Eager execution and deterministic behavior

Major Features and Improvements

• Python 3.8 support
• Allow eager execution by setting with tf.config.run_functions_eagerly(True)
  or the environment variable "PHASESPACE_EAGER"
• Deterministic random number generation via seed
  or tf.random.Generator instance

Behavioral changes

Bug fixes and small changes

Requirement changes

• tighten TensorFlow to 2.3/2.4
• tighten TensorFlow Probability to 0.11/0.12

Thanks

• Remco de Boer and Stefan Pflüger for discussions on random number genration