fix: #1070 - [Phase E3-F4-P3] Update CondensationIsothermal to accept both old and new data types with tests#1083
Conversation
Add unwrapping helpers and strategy resolution to handle ParticleData/GasData inputs alongside legacy facades. Update isothermal and staggered paths to compute rates/steps with data containers while preserving legacy mutation semantics. Add tests covering data-only helpers, mixed-type errors, and isothermal/staggered behavior with new containers. Closes uncscode#1070 ADW-ID: d0f6ea95
Successfully fixed: - Added C901 exemption to CondensationIsothermalStaggered.step to satisfy ruff complexity gating while preserving behavior. - Reordered imports and capitalized docstrings in condensation strategy tests to align with lint expectations. - Reordered GasSpecies imports in gas_data_test and species_facade_test to resolve lint warnings. Still failing: - None (tests and linters clean for touched areas). Closes uncscode#1070 ADW-ID: d0f6ea95
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Pull request overview
This PR updates the condensation strategy implementations to support both legacy facade inputs (ParticleRepresentation, GasSpecies) and the newer data containers (ParticleData, GasData), while expanding test coverage to exercise the new data-only execution paths.
Changes:
- Added unwrapping/type-guard helpers, strategy resolution for data-only inputs, and overload/type hints across condensation strategies.
- Updated
calculate_pressure_delta,CondensationIsothermal, andCondensationIsothermalStaggeredto operate onParticleData/GasDatawhile preserving legacy facade mutation behavior. - Expanded condensation tests to cover data-only inputs, mixed-type errors, helper utilities, and return-type matching; minor test import adjustments in gas modules.
Reviewed changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated 6 comments.
| File | Description |
|---|---|
particula/dynamics/condensation/condensation_strategies.py |
Add dual-type support (facades + data containers), new helpers/guards, and strategy resolution for data-only inputs. |
particula/dynamics/condensation/tests/condensation_strategies_test.py |
Add fixtures and new test cases covering data-only paths, helper functions, and return-type guarantees. |
particula/gas/tests/gas_data_test.py |
Minor test import/expectation alignment with updated condensation type handling. |
particula/gas/tests/species_facade_test.py |
Minor test import/expectation alignment with updated condensation type handling. |
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| if isinstance(mass_rate, np.ndarray) and mass_rate.ndim == 2: | ||
| concentration = particle.concentration[:, np.newaxis] | ||
| concentration = particle_data.concentration[0][:, np.newaxis] | ||
| else: | ||
| concentration = particle.concentration | ||
| concentration = particle_data.concentration[0] |
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Staggered rate scaling uses particle_data.concentration[0] directly, which ignores ParticleData.volume and diverges from ParticleRepresentation.get_concentration() semantics. This changes returned rates for any representation with volume != 1 (especially particle-resolved). Use volume-normalized concentration when scaling mass_rate.
| particle_mass = particle_data.masses[0][particle_index] | ||
| particle_concentration = np.asarray( | ||
| particle.concentration[particle_index] | ||
| particle_data.concentration[0][particle_index] | ||
| ) |
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_calculate_single_particle_transfer() feeds particle_concentration to get_mass_transfer, but uses ParticleData’s raw per-particle concentration value without dividing by volume. For particle-resolved representations this is typically 1 (count), while get_mass_transfer expects #/m^3, so transfer magnitudes are off by a factor of volume. Use a volume-normalized concentration for this per-particle calculation.
| def test_isothermal_step_returns_matching_types(self): | ||
| """step() returns matching types for legacy and data-only inputs.""" | ||
| particle_legacy, gas_legacy = self.strategy.step( | ||
| particle=self.particle, | ||
| gas_species=self.gas_species, | ||
| temperature=self.temperature, | ||
| pressure=self.pressure, | ||
| time_step=self.time_step, | ||
| ) | ||
| self.assertIsInstance( | ||
| particle_legacy, par.particles.ParticleRepresentation | ||
| ) | ||
| self.assertIsInstance(gas_legacy, par.gas.GasSpecies) | ||
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| strategy = self._make_data_strategy() | ||
| particle_data, gas_data = self._make_data_inputs() | ||
| particle_new, gas_new = strategy.step( | ||
| particle=particle_data, | ||
| gas_species=gas_data, | ||
| temperature=self.temperature, | ||
| pressure=self.pressure, | ||
| time_step=self.time_step, | ||
| ) | ||
| self.assertIsInstance(particle_new, ParticleData) | ||
| self.assertIsInstance(gas_new, GasData) | ||
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These new step() tests only assert returned types/shapes, but they don’t validate that the numerical mass/gas updates for ParticleData/GasData match the legacy facade path for the same physical setup (this fixture uses volume=1e-6, so missing volume-normalization bugs won’t be caught). Add assertions comparing Δparticle_mass and Δgas_concentration between the legacy and data-only calls (within a tolerance) to lock in behavioral parity.
| ) -> tuple[GasData, bool]: | ||
| """Return GasData and legacy flag for supported gas inputs.""" | ||
| if isinstance(gas_species, GasSpecies): | ||
| return from_species(gas_species), True |
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_unwrap_gas() converts GasSpecies to a new GasData via from_species(), which discards the facade’s underlying GasData (including its true n_boxes) and can misinterpret multi-box single-species concentrations as a species axis. This also defeats the single-box guard and adds an unnecessary copy. Prefer returning gas_species.data (or a deliberate copy of it) when gas_species is a GasSpecies facade, so batch dimensions are preserved and validation works correctly.
| return from_species(gas_species), True | |
| return gas_species.data, True |
| if isinstance(mass_rate, np.ndarray) and mass_rate.ndim == 2: | ||
| concentration = particle.concentration[:, np.newaxis] | ||
| concentration = particle_data.concentration[0][:, np.newaxis] | ||
| else: | ||
| concentration = particle.concentration | ||
| concentration = particle_data.concentration[0] |
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Condensation rates should be scaled by particle number concentration in 1/m^3. Using particle_data.concentration[0] here ignores ParticleData.volume (and differs from ParticleRepresentation.get_concentration(), which divides by volume), so results change when volume != 1 (notably for particle-resolved representations). Use volume-normalized concentration (e.g., concentration/volume) for both legacy and ParticleData paths.
| mass_transfer = get_mass_transfer( | ||
| mass_rate=mass_rate_array, | ||
| time_step=time_step, | ||
| gas_mass=gas_mass_array, | ||
| particle_mass=particle.get_species_mass(), | ||
| particle_concentration=particle.get_concentration(), | ||
| particle_mass=particle_data.masses[0], | ||
| particle_concentration=particle_data.concentration[0], | ||
| ) |
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get_mass_transfer() expects particle_concentration in #/m^3, but this passes ParticleData’s raw concentration array (which is counts for particle-resolved cases) without dividing by ParticleData.volume. This changes mass conservation/transfer magnitudes whenever volume != 1 and breaks parity with the legacy ParticleRepresentation.get_concentration() behavior. Pass a volume-normalized concentration instead.
Target Branch:
mainFixes #1070 | Workflow:
d0f6ea95Summary
Enables condensation strategies to operate on both legacy facades and the newer
ParticleData/GasDatacontainers. Adds type-aware unwrapping, strategy resolution for data-only inputs, and enforces paired input types while preserving legacy mutation semantics. Expands tests to cover new data paths and return-type guarantees.What Changed
Modified Components
particula/dynamics/condensation/condensation_strategies.py– Added_unwrap_*helpers, mixed-type guards, single-box validation, and strategy resolution for data inputs; updatedcalculate_pressure_delta,CondensationIsothermal, andCondensationIsothermalStaggeredto operate on data containers while mutating facades on legacy paths; added overloads and type hints for dual return types.particula/dynamics/condensation/tests/condensation_strategies_test.py– New fixtures and cases for data-only paths, mixed-type errors, pressure delta, and return-type matching across isothermal and staggered strategies; expanded coverage of helper utilities.particula/gas/tests/gas_data_test.pyandparticula/gas/tests/species_facade_test.py– Minor adjustments to align expectations with updated condensation type handling.Tests Added/Updated
condensation_strategies_test.py: data-path coverage formass_transfer_rate,rate,step, staggered step, pressure delta, type guards, and strategy helpers.gas_data_test.py,species_facade_test.py: updated assertions to remain consistent with condensation guards.How It Works
Implementation Notes
activity_strategy,surface_strategy, andvapor_pressure_strategyto be supplied on the condensation strategy; legacy paths continue to source strategies from the facades.TypeErrorto prevent silent mismatches.Testing
pytest particula/dynamics/condensation/tests/condensation_strategies_test.pypytest particula/gas/tests/gas_data_test.pypytest particula/gas/tests/species_facade_test.py