Pypesto

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* Add typehints to global functions and classes.
* Add `PetabImporter.rdatas_to_simulation_df` function (all 235).
* Adapt y scale in waterfall plot if convergence was too good (236).
* Clarify that `Objective` is of type negative log-posterior, for
minimization (243).
* Tidy up `AmiciObjective.parameter_mapping` as implemented in AMICI now
(247).
* Add `MultiThreadEngine` implementing multi-threading aside the
`MultiProcessEngine` implementing multi-processing (254).
* Fix copying and pickling of `AmiciObjective` (252, 257).
* Remove circular dependence history-objective (254).
* Fix problem of visualizing results with failed starts (249).
* Rework history: make thread-safe, use factory methods, make context-specific
(256).
* Improve PEtab usage example (258).
* Define history base contract, enabling different backends (260).
* Store optimization results to HDF5 (261).
* Simplify tests (263).

Breaking changes:

* `HistoryOptions` passed to `pypesto.minimize` instead of `Objective` (256).
* `GlobalOptimizer` renamed to `PyswarmOptimizer` (235).

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* Rewrite AmiciObjective and PetabAmiciObjective simulation routine to directly use
amici.petab_objective routines (209, 219, 225).
* Implement petab test suite checks (228).
* Various error fixes, in particular regarding PEtab and visualization.
* Improve trace structure.
* Fix conversion between fval and chi2, fix FIM (all 223).

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* Only compute FIM when sensitivities are available (194).
* Fix documentation build (197).
* Add support for pyswarm optimizer (198).
* Run travis tests for documentation and notebooks only on pull requests (199).

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* Update to AMICI 0.10.13, fix API changes (185).
* Start using PEtab import from AMICI to be able to import constant species (184, 185)
* Require PEtab>=0.0.0a16 (183)

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* Add logo (178).
* Fix petab API changes (179).
* Some minor bugfixes (168).

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* Support noise models in Petab and Amici.
* Minor Petab update bug fixes.