Docplex

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2024.04

* PEP517, PEP518 build
* Faster PWLs from `PR6 <https://github.com/IBMDecisionOptimization/docplex/pull/6>`__.

2023.07

* Support for transactional output attachments

2023.01

* Support of .ops files for parameter handling.
* Improvement on the Nurse example.

2022.11

* Support for CPLEX Optimization Studio 22.1.1 runtimes.
* Cleanup of the code related to Watson Machine Learning.
* In ``docplex.mp``:
* Support for sensitivity analysis in Solution.
* Fixes in Solution handling.
* In ``docplex.cp``:
* Support for 'inferred' statement.
* Support for 'sub_circuit' constraint.
* Fixed conditional module importation in sched_jobshop_blackbox.py

2022.03

* Support for CPLEX Optimization Studio 22.1 runtimes.
* In ``docplex.mp``:
* Support of parameter sets for multi objective optimization.
* Bug fix for multi objective optimization.
* Correct documentation urls to current CPLEX offering.
* Removal of the deprecated ``docloud_context``.
* Performance improvements for model building with 22.1
* In ``docplex.cp``:
* Added a new module blackbox to allow the new blackbox function feature
* Wrote full documentation on blackbox functions
* Added a new SearchType 'Neighborhood'
* Fixed a bug in modeler.same_common_subsequence
* Fixed problem of order of computation of actual solving parameters.

2021.09

* Removed zeppelin examples
* In ``docplex.mp``:
* Added a variant of Model.sum() with variable number of arguments: Model.sums()
* Removed all Python2 compatibility code
* Added deterministic time in solve details.
* Linear relaxer now relaxes SOS variable sets (linear sum relaxation)
* Fixed a bug on Model.solve_with_goals() with quadratic sub-objectives
* Fixed a bug in SolveSolution.kpi_value_by_name
* Fixed a bug in SolveSolution.get_value_dict() about precision filtering
* Fixed a bug when updating a constraint rhs with a NaN value now raises exception.

* In ``docplex.cp``:
* Add new methods get_objective_value(), get_objective_bound() and get_objective_gap() on CpoModelSolution
and CpoSolveResult to access directly the first objective, bound or gap.
* Support real call to abort_search() instead of killing the solver.
* Add a method get_parameters() to CpoSolver to retrieve actual solving parameters.
* Fix problem of order of computation of actual solving parameters.

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