PySDM v1.12

requiring ThrustRTC==0.3.8 (due to fynv/ThrustRTC#19)

PySDM v1.11

cleanup and refactors incl. API changes:

• Core --> Particulator
• Core.particles --> Particulator.attributes

PySDM v1.10

coalescence adaptivity on by default + minore fixes/cleanups

PySDM v1.9

maintenance release to accompanying PySDM-examples v1.9 + one minor fix in pH calculation code

PySDM v1.8

• TopHat spectrum + test
• Flatau-Walko-Cotton polynomial fit fot saturated vapour pressure wrt ice + test
• smoke tests for Alpert & Knopf 2016 Fig 1 example

PySDM v1.7

• added Alpert & Knopf 2016 immersion freezing example
• cleanups

PySDM v1.6

• new example based on Lowe et al. 2019 Nature Comm. paper on surface-active organics - kudos @claresinger and @rxward!
• kappa (times dry volume) as particle attribute, also optionally dry organic volume
• backend routines, new products, initialisation methods (spectro_glacial_sampling) and basic tests for upcoming immersion freezing dynamic
• VTK exporter metadata aligned to properly overlay netCDF output in Paraview
• 2D kinematic environment GUI improvements and major code cleanup
• UniformRandom spectral sampling
• cleanups, fixes, new tests (r_wet_init, condensation diagnotics, moments, ...)

PySDM v1.5

Maintenance release with git package URLs removed from setup.py (possible as we are now on pypi.org).
Also: performance-oriented refactors around moments and moment products (kudos @piotrbartman!)

PySDM v1.4

TOP 5:

• condensation on GPU (and required updates to FakeThrust, e.g. extract_struct_defs()); parcel and 1d-kinematic examples work now OK on both CPU and GPU; kudos to @piotrbartman

• numerous cleanups and fixes in aqueous chemistry code, incl. rewrite of pH handling (HydrogenIonConcentration attribute), options to calculate both volume-weighted and number-weighted pH, calculation of dry radius based on actual amounts of chemical compounds; several figures from Kreidenweis et al. 2003 and Jaruga and Pawlowska 2018 reproduced successfully; kudos to @trontrytel

• VTK exporter for attributes (files readily usable with Paraview for visualisation of particle attributes); kudos to @abulenok

• brand new PySDM.physics infrastructure enabling common physics code for CPU and GPU backends (c_inline) and enabling user-facing control over the choice of physical formulae (e.g., condensation solver coordinate, saturation vapour pressure approximation, temperature dependence in diffusion coefficients, etc), JIT options and random seed through the Formulae.__init__() arguments; backend are now instantiated by the Builder;

• Julia and Matlab (in addition to Python) example code in the README file (box coalescence & parcel condensation).

Other news:

• deployment of pdoc-generated API manual to GitHub pages (https://atmos-cloud-sim-uj.github.io/PySDM/);
• multi-threaded operation for moment calculation on CPU (using atomic_* functions from github.com/KatanaGraph/katana)
• surface precipitation calculations on GPU
• numerous fixes in GPU backend routines, including gently handling zero-length For launches
• replaced bisection with TOMS-748 in the Numba backend (for r_wet_init, condensation implicit Euler and pH calculation)
• thread-safe handling of "success" checks within condensation solver
• simplification of the BDF code (test helper for validation condensation solver)
• running Julia and Matlab examples on GitHub Actions
• products: removed range and scale fields (now only defined in the ICMW example)
• many more tests work on GPU now (displacement, condensation, ...)
• widget freezer in Shima_et_al_2009 example
• cleanups in docstrings

PySDM v1.3

TOP 5:

• aqueous chemistry dynamic draft with two new examples, kudos @Golui & @trontrytel!
  (new examples, WIP: Kreidenweis_et_al_2003 & Jaruga_and_Pawlowska_2018)
• moving examples to a separate repo, making them an installable package
  (https://github.com/atmos-cloud-sim-uj/PySDM-examples)
• dropping dep on molmass in favour of chempy (used by the new dynamic)
• notebook execution moved from Travis to Github Actions (using pytest instead of bash script)
• activation, deactivation and ripening counters (and relevant products)

Other news:

• notebook header cleanup (just pip install PySDM_examples for Colab)
• swithing to newer Jupyter Lab interface in mybinder.org badge links
• cleanup around coalsecence timestep adaptivity
• new products: TotalConcentration, ParcelDisplacement, Time, CloudDropletEffectiveRadius, PeakSupersaturation, ActivatingRate, DeactivatingRate, RipeningRate, TotalDryMassMixingRatio, DynamicWallTime, AqueousMassSpectrum, Concentration, pH
• improved in-cloud hydrostatic profile integration + tests
• removed intensive attribute logic from coalescence; added proper handling within IntensiveAttribute class
• using @strict decorator for Settings classes (pystrict package)
• added cron-schedulled builds to GA
• added "pip -e" installation into continuous integration workflows
• dropped Python 3.6 builds, introduced 3.9
• fixed attr iteration in Thrust coalescence (chemistry first to use it)
• dynamic/static schedule parameters for condensation
• moved Matlab examples to a separate repo (PySDM_examples.m)
• moved Julia examples to a separate repo (PySDM_examples.jl)
• proper seed passing for initialisation in ThrustRTC.Random
• checking README code with pytest using exdown