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adaptive v0.13.0 Release Notes

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  🛠 Fixed bugs:

  • AverageLearner doesn't work with 0 mean #275
  • 🖨 call self._process_futures on canceled futures when BlockingRunner is done #320 (basnijholt)
  • AverageLearner: fix zero mean #276 (basnijholt)

  Closed issues:

  • ⚙ Runners should tell learner about remaining points at end of run #319
  • Cryptic error when importing lmfit #314
  • 🔄 change CHANGELOG to KeepAChangelog format #306
  • jupyter notebook kernels dead after running "import adaptive" #298
  • 📄 Emphasis on when to use adaptive in docs #297
  • GPU acceleration #296

  🔀 Merged pull requests:

  • ✅ Learner1D type hints and add typeguard to pytest tests #325 (basnijholt)
  • AverageLearner type hints #324 (basnijholt)
  • Update doc string for resolution_loss_function #323 (SultanOrazbayev)
  • ⚡️ Update Readme to emphasise when adaptive should be used #318 (thomasaarholt)
  • ➕ add to_numpy methods #317 (basnijholt)
  • lazily evaluate the integrator coefficients #311 (basnijholt)
  • AverageLearner1D added #283 (AlvaroGI)
  • 👉 Make LearnerND pickleable #272 (basnijholt)
  • ➕ add a FAQ #242 (basnijholt)

Previous changes from v0.12.2

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  🔀 Merged pull requests:

  • raise an AttributeError when attribute doesn't exists, closes #314 #315 (basnijholt)

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