Laddu

Added

- add `NLL::project_with` to do projecting and isolation in one step
- add `__radd__` implementations wherever `__add__` is implemented

Other

- bump dependency versions
- manipulate features to allow for MSRV of 1.70.0
- use latest rust version
- update readthedocs config in the hopes that it will properly build laddu
- increase TOC depth
- fix broken link

Added

- add methods to serialize/deserialize fit results
- add gamma factor calculation to 4-momentum
- test documentation
- add stable ABI with minimum python version of 3.7
- add python stub file for vectors

Fixed

- make sure code works if no pol angle/magnitude are provided
- use the unweighted total number of events and divide data likelihood terms by `n_data`
- correct phase in Zlm
- correct `PolAngle` by normalizing the beam vector
- add amplitude module-level documentation
- correct path to sphinx config
- use incremental builds for maturin development

Other

- add RTDs documentation badge to README and link to repo in docs
- separate command for rebuilding docs and making docfiles
- finish first pass documenting Python API
- fix typo in K-Matrix Rust docs
- resolve lint warning of `len` without `is_empty`
- more documentation for Python API
- fix data format which said that `eps` vectors have a "p" in their column names
- document`vectors` Python API
- add documentation for `Vector3` in Python API
- docstrings are not exported with `maturin develop`
- add documentation commands to justfile
- add automatic documentation and readthedocs support
- update README with codspeed badge

Added

- remove methods to open data into bins or filtered and replace with method on `Dataset`
- wrap `Event`s inside `Dataset`s in `Arc` to reduce bootstrap copying
- add benchmark for opening datasets
- add method to resample datasets (bootstrapping)

Other

- switch to Codspeed for benchmarking
- update plot and add output txt file for example_1 and reorganize directory structure
- refactor data loading code into a shared function

Added

- add `gen_amp` config file for Python `example_1`
- add python example
- add `Debug` derive for `Parameters`
- add method to input beam polarization info and assume unity weights if none are provided
- adds a `LikelihoodScalar` term that can be used to scale `LikelihoodTerm`s by a scalar-valued parameter
- expose the underlying dataset and Monte-Carlo dataset in the Python API for `NLL` and add method to turn an `NLL` into a `LikelihoodTerm`
- some edits to `convert` module and exposure of the `convert_from_amptools` method in the main python package
- add gradient calculations at `Amplitude` level
- add `amptools-to-laddu` conversion script to python package
- add python API for likelihood terms and document Rust API
- proof-of-concept for Likelihood terms
- put `Resources` in `Evaluator` behind an `Arc<RwLock<T>>`
- Add `LikelihoodTerm` trait and implement it for `NLL`

Fixed

- update `example_1.py` to allow running from any directory
- change NLL implementation to properly weight the contribution from MC
- properly handle summations in NLL
- correct type hints
- ensure `extension-module` is used with the `python` feature
- make sure rayon-free build works
- these indices were backwards
- this should correctly reorganize the gradient vectors to all have the same length
- correct some signatures and fix `PyObserver` implementation

Other

- some stylistic changes to the README
- update README.md to include the first python example
- remove lints
- move kwarg extractor to be near parser
- update `ganesh` to latest version (better default epsilons)
- move parsing of minimizer options to a dedicated function to reduce code duplication
- add sample size specification
- move Likelihood-related code to new `likelihoods` module
- change benchmark config
- store `Expression`s inside `Evaluator`s to simplify call signatures

Added

- add options to the minimization callables and add binned `Dataset` loading to Python API
- add filtered and binned loading for `Dataset`s
- export `Status` and `Bound` structs from `ganesh` as PyO3 objects and update `minimize` method accordingly
- add `Debug` derive for `ParameterID`
- add `LadduError` struct and work in proper error forwarding for reading data and registering `Amplitude`s
- use `AsRef` generics to allow more versatile `Variable` construction
- add `ganesh` integration via L-BFGS-B algorithm
- update to latest `PyO3` version

Fixed

- missed one fully qualified path
- correct some namespace paths
- add `Dataset` and `Event` to `variables`
- add scalar-like `Amplitude`s to python namespace
- reorder expression and parameters
- remove main.rs from tracking

Other

- update minimization example in README.md
- fix doctest
- update ganesh version
- switch order of expression and parameters in evaluate and project methods

Other

- remove tag check