Update ultranest requirement from ~=3.6.5 to ~=4.5.0

[dependabot]

Updates the requirements on ultranest to permit the latest version.

Changelog

Sourced from ultranest's changelog.

============== Release Notes

4.4.0 (2024-12-13)

• Compatible with numpy version 2 and above. Any remaining errors like "ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject" are due to ultranest and numpy being installed with different versions. Reinstall numpy and ultranest in that case.

4.3.0 (2024-04-12)

• added :py:class:ultranest.popstepsampler.PopulationSimpleSliceSampler: Vectorized, fixed-batch size slice sampler. (PR <https://github.com/JohannesBuchner/UltraNest/pull/118>_ by Benjamin Beauchesne)
• validation of passed parameter names (PR <https://github.com/JohannesBuchner/UltraNest/pull/133>_ by svaverbe)
• documentation improvements, including documenting results dictionary (PR <https://github.com/JohannesBuchner/UltraNest/pull/138>_ by Jacopo Tissino)
• make scipy actually optional (PR <https://github.com/JohannesBuchner/UltraNest/pull/141>_ by Matthew Kirk)
• linting

4.2.0 (2024-02-15)

• new :py:class:ultranest.mlfriends.LocalAffineLayer for metric learning, set as default (see issue 124 <https://github.com/JohannesBuchner/UltraNest/issues/124>_)
• add Highest Density Interval function (ultranest.plot.highest_density_interval_from_samples)
• corner plot style with higher signal-to-ink ratio.
• bug fixes in popstepsampler

4.1.0 (2024-02-15)

• add number of steps calibrator :py:class:ultranest.calibrator.ReactiveNestedCalibrator
• add relative jump distance diagnostic for step samplers
• make population step samplers more consistent with other step samplers

4.0.0 (2024-02-15)

• new :py:class:ultranest.mlfriends.MaxPrincipleGapAffineLayer for metric learning, set as default

3.6.5 (2023-07-18)

• documentation improvements
• logging with MPI fixes by adipol-ph <https://github.com/JohannesBuchner/UltraNest/issues/109>_ and by gregorydavidmartinez <https://github.com/JohannesBuchner/UltraNest/issues/110>_
• more flexible plotting by facero <https://github.com/JohannesBuchner/UltraNest/issues/108>_

3.6.0 (2023-06-22)

• add PopulationRandomWalkSampler: vectorized Gaussian random walks for GPU/JAX-powered likelihoods
• limit initial widening to escape plateau (issue #81)

... (truncated)

Commits

• 4ccfcfb Bump version: 4.4.0 → 4.5.0
• 0a35103 doc formatting
• f5ec27a address numpy 2.4 removals
• 7b934ed Merge pull request #174 from Lowerce/cali-fix
• c7f011d Restore the plot function
• 547a1cf Follow the style requirements of flake8
• ebeb2f1 Address requested changes for PR #174
• f5ba3d7 add test for calibrator.py
• dbf7446 fix calibrator.py for issue#145
• b127a51 doc fixes
• Additional commits viewable in compare view

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