diff --git a/meshwell/labeledentity.py b/meshwell/labeledentity.py index 054b003..5de9dbe 100644 --- a/meshwell/labeledentity.py +++ b/meshwell/labeledentity.py @@ -2,6 +2,7 @@ import gmsh from typing import List, Union, Any, Tuple from meshwell.resolution import ResolutionSpec +import warnings class LabeledEntities(BaseModel): @@ -31,13 +32,15 @@ def _fuse_self(self, dimtags: List[Union[int, str]]) -> List[Union[int, str]]: self.model.occ.synchronize() return dimtags - def get_tags(self) -> List[int]: + @property + def tags(self) -> List[int]: tags = [tag for dim, tag in self.dimtags] if any(isinstance(el, list) for el in tags): tags = [item for sublist in tags for item in sublist] return tags - def get_dim(self) -> int: + @property + def dim(self) -> int: return [dim for dim, tag in self.dimtags][0] def update_boundaries(self) -> List[int]: @@ -46,287 +49,62 @@ def update_boundaries(self) -> List[int]: ] return self.boundaries + def filter_by_mass(self, target_dimension: int, min_mass, max_mass): + def filter_by_target_and_tags(target_dimension, tags, min_mass, max_mass): + # Returns tags and masses + tags = [ + tag + for tag in tags + if min_mass < self.model.occ.getMass(target_dimension, tag) < max_mass + ] + return {tag: self.model.occ.getMass(target_dimension, tag) for tag in tags} + + # Filter the tags based on current dimension and target + match self.dim - target_dimension: + case 0: + tags = self.tags + case 1: + tags = self.boundaries + case 2 | 3: + tags = [self.model.occ.getCurveLoops(b)[1] for b in self.boundaries] + case -1: + warnings.warn("Applying volume ResolutionSpec to surface, skipping") + return [] + + # If targeting points, need post-filtering filtering + if target_dimension == 0: + filtered_tags = filter_by_target_and_tags(1, tags, min_mass, max_mass) + return ( + self.model.getBoundary([(0, tag) for tag in filtered_tags]), + None, + ) # no mass in 0D + else: + return filter_by_target_and_tags(target_dimension, tags, min_mass, max_mass) + def add_refinement_fields_to_model( self, refinement_field_indices: List, refinement_max_index: int, default_resolution: float, - final_entity_list: List, ): """ Adds refinement fields to the model based on base_resolution and resolution info. - - # FIXME: make a better ResolutionSpec class that handles the entity/boundary distinction """ n = refinement_max_index if self.resolutions: - entities = [] - boundaries = [] - boundary_lines = [] - boundary_lines_points = [] - for resolutionspec in self.resolutions: - # Parse by dimension - if self.get_dim() == 3: - entity_str = "RegionsList" - boundary_str = "SurfacesList" - curves_str = "CurvesList" - points_str = "PointsList" - - # Check condition on volumes - if resolutionspec.resolution_volumes is None: - entities = [] - entity_resolution = default_resolution - else: - entity_resolution = min( - resolutionspec.resolution_volumes, default_resolution - ) - entities = [ - volume_tag - for volume_tag in self.get_tags() - if resolutionspec.min_volumes - < self.model.occ.getMass(3, volume_tag) - < resolutionspec.max_volumes - ] - - # Check condition on surfaces - if resolutionspec.resolution_surfaces is None: - boundaries = [] - boundary_resolution = entity_resolution - else: - boundaries = [ - surface_tag - for surface_tag in self.boundaries - if resolutionspec.min_area_surfaces - < self.model.occ.getMass(2, surface_tag) - < resolutionspec.max_area_surfaces - ] - boundary_resolution = min( - resolutionspec.resolution_surfaces, entity_resolution - ) - boundary_sizemax = resolutionspec.sizemax_surfaces - boundary_distmax = resolutionspec.distmax_surfaces - boundary_sigmoid = resolutionspec.surface_sigmoid - # NOTE: currently using for the number of sampling points the desired density and largest entity; resulting NSampling is then applied to all entities - boundary_surface = max( - [ - self.model.occ.getMass(2, boundary) - for boundary in boundaries - ] - ) - boundaries_samplings = ( - resolutionspec.calculate_sampling_surface(boundary_surface) - ) - - # Check condition on surface curves - if resolutionspec.resolution_curves is None: - boundary_lines = [] - boundary_lines_resolution = boundary_resolution - else: - boundary_lines = [ - c - for b in self.boundaries - for cs in self.model.occ.getCurveLoops(b)[1] - for c in cs - if resolutionspec.min_length_curves - < self.model.occ.getMass(1, c) - < resolutionspec.max_length_curves - ] - - boundary_lines_resolution = min( - resolutionspec.resolution_curves, boundary_resolution - ) - boundary_lines_sizemax = resolutionspec.sizemax_curves - boundary_lines_distmax = resolutionspec.distmax_curves - boundary_line_sigmoid = resolutionspec.curve_sigmoid - # NOTE: currently using for the number of sampling points the desired density and largest entity; resulting NSampling is then applied to all entities - boundary_lines_length = max( - [ - self.model.occ.getMass(1, boundary) - for boundary in boundary_lines - ] - ) - boundary_lines_samplings = ( - resolutionspec.calculate_sampling_curve( - boundary_lines_length - ) - ) - - # Check condition on surface curve points - if resolutionspec.resolution_points is None: - boundary_lines_points = [] - else: - boundary_lines_points = [ - c - for b in self.boundaries - for cs in self.model.occ.getCurveLoops(b)[1] - for c in cs - if resolutionspec.min_length_curves_for_points - < self.model.occ.getMass(1, c) - < resolutionspec.max_length_curves_for_points - ] - boundary_lines_points = self.model.getBoundary( - [ - (0, boundary_line_point) - for boundary_line_point in boundary_lines_points - ] - ) - boundary_lines_points_resolution = min( - resolutionspec.resolution_points, boundary_lines_resolution - ) - boundary_lines_points_sizemax = resolutionspec.sizemax_points - boundary_lines_points_distmax = resolutionspec.distmax_points - boundary_lines_points_sigmoid = resolutionspec.point_sigmoid - - elif self.get_dim() == 2: - entity_str = "SurfacesList" - boundary_str = "CurvesList" - curves_str = "PointsList" - - # Check condition on surfaces - if resolutionspec.resolution_surfaces is None: - entities = [] - entity_resolution = default_resolution - else: - entity_resolution = min( - resolutionspec.resolution_surfaces, default_resolution - ) - entities = [ - surface_tag - for surface_tag in self.get_tags() - if resolutionspec.min_area_surfaces - < self.model.occ.getMass(2, surface_tag) - < resolutionspec.max_area_surfaces - ] - - # Check condition on curves - if resolutionspec.resolution_curves is None: - boundaries = [] - else: - boundaries = [ - curve_tag - for curve_tag in self.boundaries - if resolutionspec.min_length_curves - < self.model.occ.getMass(1, curve_tag) - < resolutionspec.max_length_curves - ] - - boundary_resolution = min( - resolutionspec.resolution_curves, entity_resolution - ) - boundary_sizemax = resolutionspec.sizemax_curves - boundary_distmax = resolutionspec.distmax_curves - boundary_sigmoid = resolutionspec.curve_sigmoid - # NOTE: currently using for the number of sampling points the desired density and largest entity; resulting NSampling is then applied to all entities - boundary_surface = max( - [ - self.model.occ.getMass(1, boundary) - for boundary in boundaries - ] - ) - boundaries_samplings = ( - resolutionspec.calculate_sampling_surface(boundary_surface) - ) - - if resolutionspec.resolution_points is not None: - raise ValueError( - "ResolutionSpec for points not implemented in 2D yet!" - ) - - elif self.get_dim() == 1: - entity_str = "CurvesList" - boundary_str = "PointsList" - else: - entity_str = "PointsList" - boundary_str = None - - if entities: - self.model.mesh.field.add("MathEval", n) - self.model.mesh.field.setString(n, "F", f"{entity_resolution}") - self.model.mesh.field.add("Restrict", n + 1) - self.model.mesh.field.setNumber(n + 1, "InField", n) - self.model.mesh.field.setNumbers( - n + 1, - entity_str, - entities, - ) - refinement_field_indices.extend((n + 1,)) - n += 2 - - if boundaries: - self.model.mesh.field.add("Distance", n) - self.model.mesh.field.setNumbers(n, boundary_str, boundaries) - self.model.mesh.field.setNumber(n, "Sampling", boundaries_samplings) - self.model.mesh.field.add("Threshold", n + 1) - self.model.mesh.field.setNumber(n + 1, "InField", n) - self.model.mesh.field.setNumber( - n + 1, "SizeMin", boundary_resolution - ) - self.model.mesh.field.setNumber(n + 1, "DistMin", 0) - if boundary_sizemax and boundary_distmax: - self.model.mesh.field.setNumber( - n + 1, "SizeMax", boundary_sizemax - ) - self.model.mesh.field.setNumber( - n + 1, "DistMax", boundary_distmax - ) - self.model.mesh.field.setNumber(n + 1, "StopAtDistMax", 1) - self.model.mesh.field.setNumber( - n + 1, "Sigmoid", int(boundary_sigmoid) - ) - refinement_field_indices.extend((n + 1,)) - n += 2 - - if boundary_lines: - self.model.mesh.field.add("Distance", n) - self.model.mesh.field.setNumbers(n, curves_str, boundary_lines) - self.model.mesh.field.setNumber( - n, "Sampling", boundary_lines_samplings - ) - self.model.mesh.field.add("Threshold", n + 1) - self.model.mesh.field.setNumber(n + 1, "InField", n) - self.model.mesh.field.setNumber( - n + 1, "SizeMin", boundary_lines_resolution - ) - self.model.mesh.field.setNumber(n + 1, "DistMin", 0) - if boundary_lines_sizemax and boundary_lines_distmax: - self.model.mesh.field.setNumber( - n + 1, "SizeMax", boundary_lines_sizemax - ) - self.model.mesh.field.setNumber( - n + 1, "DistMax", boundary_lines_distmax - ) - self.model.mesh.field.setNumber(n + 1, "StopAtDistMax", 1) - self.model.mesh.field.setNumber( - n + 1, "Sigmoid", int(boundary_line_sigmoid) - ) - refinement_field_indices.extend((n + 1,)) - n += 2 - - if boundary_lines_points: - self.model.mesh.field.add("Distance", n) - self.model.mesh.field.setNumbers( - n, points_str, boundary_lines_points - ) - self.model.mesh.field.add("Threshold", n + 1) - self.model.mesh.field.setNumber(n + 1, "InField", n) - self.model.mesh.field.setNumber( - n + 1, "SizeMin", boundary_lines_points_resolution - ) - self.model.mesh.field.setNumber(n + 1, "DistMin", 0) - if boundary_lines_points_sizemax and boundary_lines_points_distmax: - self.model.mesh.field.setNumber( - n + 1, "SizeMax", boundary_lines_points_sizemax - ) - self.model.mesh.field.setNumber( - n + 1, "DistMax", boundary_lines_points_distmax - ) - self.model.mesh.field.setNumber(n + 1, "StopAtDistMax", 1) - self.model.mesh.field.setNumber( - n + 1, "Sigmoid", int(boundary_lines_points_sigmoid) - ) - refinement_field_indices.extend((n + 1,)) - n += 2 + entities_mass_dict = self.filter_by_mass( + target_dimension=resolutionspec.target_dimension, + min_mass=resolutionspec.min_mass, + max_mass=resolutionspec.max_mass, + ) + new_field_indices, n = resolutionspec.apply( + model=self.model, + current_field_index=n, + refinement_field_indices=refinement_field_indices, + entities_mass_dict=entities_mass_dict, + ) + refinement_field_indices.extend(new_field_indices) return refinement_field_indices, n diff --git a/meshwell/model.py b/meshwell/model.py index 8cffc2c..a95eb75 100644 --- a/meshwell/model.py +++ b/meshwell/model.py @@ -482,7 +482,6 @@ def mesh( refinement_field_indices, refinement_max_index, default_characteristic_length, - final_entity_list, ) # Use the smallest element size overall diff --git a/meshwell/resolution.py b/meshwell/resolution.py index eba44a0..dcf3f84 100644 --- a/meshwell/resolution.py +++ b/meshwell/resolution.py @@ -1,103 +1,192 @@ import numpy as np import copy +from typing import Literal, Any from pydantic import BaseModel class ResolutionSpec(BaseModel): + """A ResolutionSpec is attached to a pre-CAD entity. + + It sets a mesh size field (see child classes) to the resulting post-CAD volumes, surfaces, curves, or points. + + The volumes, surfaces, curves can be filtered based on their mass (volume, area, length). Points can be filtered based on the length of the curve they belong to. """ - Object holding resolution information for an entity and its boundaries. - # FIXME: make a better ResolutionSpec class that handles the entity/boundary distinction + # Eventually we can add flags here to also consider proximity to other specific physicals (e.g. shared interfaces) + apply_to: Literal["volumes", "surfaces", "curves", "points"] + min_mass: float = 0 + max_mass: float = np.inf - Arguments: - # Volume - volume_resolution (float): resolution of the volume (3D). No effect if the entity is 2D. - defaults to inf --> default resolution, since the local resolution is always the minimum of all size fields + @property + def entity_str(self): + """Convenience wrapper.""" + if self.apply_to == "volumes": + return "RegionsList" + elif self.apply_to == "surfaces": + return "SurfacesList" + elif self.apply_to == "curves": + return "CurvesList" + elif self.apply_to == "points": + return "PointsList" - # Surface - surface_resolution (float): resolution of the surface (2D) or of all the surfaces touching the volume (3D) - defaults to inf --> default resolution (2D) or volume_resolution (3D), since the local resolution is always the minimum of all size fields + @property + def target_dimension(self): + """Convenience wrapper.""" + if self.apply_to == "volumes": + return 3 + elif self.apply_to == "surfaces": + return 2 + elif self.apply_to == "curves": + return 1 + elif self.apply_to == "points": + return 0 - # Curves - curve_resolution (float): resolution of curves constituting the volumes' surfaces (3D) or surfaces (2D) - defaults to inf --> surface_resolution, since the local resolution is always the minimum of all size fields - # Points - point_resolution (float): resolution of points constituting the volumes' surfaces' curves (3D) or surfaces' curves (2D) - defaults to inf --> curve_resolution, since the local resolution is always the minimum of all size fields - can be filtered by the length of the associated curves - """ +class ConstantInField(ResolutionSpec): + """Constant resolution within the entities.""" + + resolution: float + + def apply( + self, + model: Any, + current_field_index: int, + entities_mass_dict, + refinement_field_indices, + ) -> int: + new_field_indices = [] - # Volume - resolution_volumes: float | None = None - min_volumes: float = 0 - max_volumes: float = np.inf - # Surface - resolution_surfaces: float | None = None - min_area_surfaces: float = 0 - max_area_surfaces: float = np.inf - distmax_surfaces: float | None = None - sizemax_surfaces: float | None = None - surface_sigmoid: bool = False - surface_per_sampling_surfaces: float | None = None - sampling_surface_max: int = 100 - # Curve - resolution_curves: float | None = None - min_length_curves: float = 0 - max_length_curves: float = np.inf - distmax_curves: float | None = None - sizemax_curves: float | None = None - curve_sigmoid: bool = False - length_per_sampling_curves: float | None = None - sampling_curve_max: int = 100 - # Point - resolution_points: float | None = None - min_length_curves_for_points: float = 0 - max_length_curves_for_points: float = np.inf - distmax_points: float | None = None - sizemax_points: float | None = None - point_sigmoid: bool = False + model.mesh.field.add("MathEval", current_field_index) + model.mesh.field.setString(current_field_index, "F", f"{self.resolution}") + model.mesh.field.add("Restrict", current_field_index + 1) + model.mesh.field.setNumber( + current_field_index + 1, "InField", current_field_index + ) + model.mesh.field.setNumbers( + current_field_index + 1, + self.entity_str, + list(entities_mass_dict.keys()), + ) + new_field_indices = (current_field_index + 1,) + current_field_index += 2 + + return new_field_indices, current_field_index def refine(self, resolution_factor: float): result = copy.copy(self) - if result.resolution_volumes is not None: - result.resolution_volumes *= resolution_factor - if result.resolution_surfaces is not None: - result.resolution_surfaces *= resolution_factor - if result.sizemax_surfaces is not None: - result.sizemax_surfaces *= resolution_factor - if result.resolution_curves is not None: - result.resolution_curves *= resolution_factor - if result.sizemax_curves is not None: - result.sizemax_curves *= resolution_factor - if result.resolution_points is not None: - result.resolution_points *= resolution_factor - if result.sizemax_points is not None: - result.sizemax_points *= resolution_factor + if result.resolution is not None: + result.resolution *= resolution_factor + return result - def calculate_sampling(self, mass_per_sampling, mass, max_sampling): - if mass_per_sampling is None: - return 2 # avoid int(inf) error - else: - return min(max(2, int(mass / mass_per_sampling)), max_sampling) - - def calculate_sampling_surface(self, area): - if self.surface_per_sampling_surfaces: - return self.calculate_sampling( - self.surface_per_sampling_surfaces, area, self.sampling_surface_max - ) - else: - return self.calculate_sampling( - 0.5 * self.resolution_surfaces, area, self.sampling_surface_max - ) - - def calculate_sampling_curve(self, length): - if self.length_per_sampling_curves: - return self.calculate_sampling( - self.length_per_sampling_curves, length, self.sampling_curve_max - ) - else: - return self.calculate_sampling( - 0.5 * self.resolution_curves, length, self.sampling_curve_max - ) + +class SampledField(ResolutionSpec): + """Shared functionality for size fields that require sampling the entities at points.""" + + mass_per_sampling: float | None = None + max_sampling: int = 100 + sizemin: float + + def calculate_samplings(self, entities_mass_dict): + """Calculates a more optimal sampling from the masses""" + + if self.mass_per_sampling is None: + # Default sampling is half the minimum resolution + mass_per_sampling = 0.5 * self.sizemin + + return { + tag: min(max(2, int(mass / mass_per_sampling)), self.max_sampling) + for tag, mass in entities_mass_dict.items() + } + + def refine(self, resolution_factor: float): + result = copy.copy(self) + if result.sizemax is not None: + result.sizemax *= resolution_factor + if result.sizemin is not None: + result.sizemin *= resolution_factor + + +class ThresholdField(SampledField): + """Linear growth of the resolution away from the entity""" + + sizemax: float + sizemin: float + distmin: float = 0 + distmax: float + + def apply( + self, + model: Any, + current_field_index: int, + entities_mass_dict, + refinement_field_indices, + ) -> int: + new_field_indices = [] + + # Compute samplings + samplings_dict = self.calculate_samplings(entities_mass_dict) + + # FIXME: It is computationally cheaper to have a large sampling on all the curves rather than one field per curve; but there is probably an optimum somewhere. + # FOr instance, the distribution should be very skewed (tiny vertical curves, tiny curves in bends, vs long horizontal ones), so there may be benefits for a small number of optimized fields. + samplings = max(samplings_dict.values()) + entities = list(entities_mass_dict.keys()) + + model.mesh.field.add("Distance", current_field_index) + model.mesh.field.setNumbers(current_field_index, self.entity_str, entities) + model.mesh.field.setNumber(current_field_index, "Sampling", samplings) + model.mesh.field.add("Threshold", current_field_index + 1) + model.mesh.field.setNumber( + current_field_index + 1, "InField", current_field_index + ) + model.mesh.field.setNumber(current_field_index + 1, "SizeMin", self.sizemin) + model.mesh.field.setNumber(current_field_index + 1, "DistMin", self.distmin) + if self.sizemax and self.distmax: + model.mesh.field.setNumber(current_field_index + 1, "SizeMax", self.sizemax) + model.mesh.field.setNumber(current_field_index + 1, "DistMax", self.distmax) + model.mesh.field.setNumber(current_field_index + 1, "StopAtDistMax", 1) + new_field_indices = (current_field_index + 1,) + current_field_index += 2 + + return new_field_indices, current_field_index + + +class ExponentialField(SampledField): + """Exponential growth of the characteristic length away from the entity""" + + growth_factor: float + + def apply( + self, + model: Any, + current_field_index: int, + entities_mass_dict, + refinement_field_indices, + ) -> int: + new_field_indices = [] + + # Compute samplings + samplings_dict = self.calculate_samplings(entities_mass_dict) + + # FIXME: It is computationally cheaper to have a large sampling on all the curves rather than one field per curve; but there is probably an optimum somewhere. + # FOr instance, the distribution should be very skewed (tiny vertical curves, tiny curves in bends, vs long horizontal ones), so there may be benefits for a small number of optimized fields. + samplings = max(samplings_dict.values()) + entities = list(entities_mass_dict.keys()) + + # Sampled distance field + model.mesh.field.add("Distance", current_field_index) + model.mesh.field.setNumbers(current_field_index, self.entity_str, entities) + model.mesh.field.setNumber(current_field_index, "Sampling", samplings) + + # Math field + model.mesh.field.add("MathEval", current_field_index + 1) + model.mesh.field.setString( + current_field_index + 1, + "F", + f"({self.growth_factor}^F{current_field_index} - 1) + {self.sizemin}", + ) + + new_field_indices = (current_field_index + 1,) + current_field_index += 2 + + return new_field_indices, current_field_index diff --git a/meshwell/tag.py b/meshwell/tag.py index 7a11d96..c73b0ac 100644 --- a/meshwell/tag.py +++ b/meshwell/tag.py @@ -13,11 +13,11 @@ def tag_entities(entity_list: List): 3: {}, } for entities in entity_list: - dim = entities.get_dim() + dim = entities.dim for physical_name in entities.physical_name: if physical_name not in names_to_tags[dim]: names_to_tags[dim][physical_name] = [] - names_to_tags[dim][physical_name].extend(entities.get_tags()) + names_to_tags[dim][physical_name].extend(entities.tags) for dim in names_to_tags.keys(): for physical_name, tags in names_to_tags[dim].items(): @@ -34,12 +34,12 @@ def tag_interfaces(entity_list: List, max_dim: int, boundary_delimiter: str): for entity1, entity2 in combinations(entity_list, 2): if entity1.physical_name == entity2.physical_name: continue - elif entity1.get_dim() != entity2.get_dim(): + elif entity1.dim != entity2.dim: continue - elif entity1.get_dim() != max_dim: + elif entity1.dim != max_dim: continue else: - dim = entity1.get_dim() - 1 + dim = entity1.dim - 1 common_interfaces = list( set(entity1.boundaries).intersection(entity2.boundaries) ) @@ -73,9 +73,9 @@ def tag_boundaries( 2: {}, } for entity in entity_list: - if entity.get_dim() != max_dim: + if entity.dim != max_dim: continue - dim = entity.get_dim() - 1 + dim = entity.dim - 1 boundaries = list(set(entity.boundaries) - set(entity.interfaces)) for entity_physical_name in entity.physical_name: boundary_name = ( diff --git a/tests/references/mesh_test_2D_resolution.reference.msh b/tests/references/mesh_test_2D_resolution.reference.msh index 1adc115..6390ef4 100644 --- a/tests/references/mesh_test_2D_resolution.reference.msh +++ b/tests/references/mesh_test_2D_resolution.reference.msh @@ -31,7 +31,7 @@ $Entities 2 -9.99999993922529e-08 -9.99999993922529e-08 -1e-07 20.0000001 20.0000001 1e-07 1 2 8 5 7 8 6 -1 -4 -3 -2 $EndEntities $Nodes -18 2772 1 2772 +18 3406 1 3406 0 1 0 1 1 5 5 0 @@ -56,7 +56,7 @@ $Nodes 0 8 0 1 8 20 20 0 -1 1 0 60 +1 1 0 92 9 10 11 @@ -117,67 +117,6 @@ $Nodes 66 67 68 -5.150592238585253 5 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meshwell.model import Model -from meshwell.resolution import ResolutionSpec +from meshwell.resolution import ConstantInField from meshwell.utils import compare_meshes from pathlib import Path from shapely.ops import clip_by_rect @@ -23,7 +23,9 @@ def test_mesh_additive_3D(): model=model, physical_name="big_prism", mesh_order=3, - resolutions=[ResolutionSpec(resolution_volumes=10)], + resolutions=[ + ConstantInField(resolution=10, apply_to="volumes"), + ], ) medium_prism = Prism( polygons=clip_by_rect( @@ -32,7 +34,9 @@ def test_mesh_additive_3D(): buffers=buffers, model=model, physical_name="medium_prism", - resolutions=[ResolutionSpec(resolution_volumes=1)], + resolutions=[ + ConstantInField(resolution=1, apply_to="volumes"), + ], additive=True, mesh_order=2, ) @@ -42,7 +46,9 @@ def test_mesh_additive_3D(): model=model, physical_name="small_prism", mesh_order=1, - resolutions=[ResolutionSpec(resolution_volumes=10)], + resolutions=[ + ConstantInField(resolution=10, apply_to="volumes"), + ], ) entities_list = [big_prism, medium_prism, small_prism] # entities_list = [medium_prism] diff --git a/tests/test_inputs.py b/tests/test_inputs.py index a92579c..0ec1d61 100644 --- a/tests/test_inputs.py +++ b/tests/test_inputs.py @@ -5,7 +5,6 @@ from meshwell.model import Model from pathlib import Path import pytest -from meshwell.resolution import ResolutionSpec # fmt: off @@ -33,7 +32,6 @@ def test_msh(config): model=model, physical_name="first_entity", mesh_order=1, - resolutions=[ResolutionSpec(resolution_volumes=0.5)], ) entities_list = [poly2D] diff --git a/tests/test_mesh.py b/tests/test_mesh.py index 7a202ad..34874ef 100644 --- a/tests/test_mesh.py +++ b/tests/test_mesh.py @@ -5,7 +5,7 @@ from meshwell.polysurface import PolySurface from meshwell.model import Model from meshwell.gmsh_entity import GMSH_entity -from meshwell.resolution import ResolutionSpec +from meshwell.resolution import ConstantInField from meshwell.utils import compare_meshes from pathlib import Path @@ -27,7 +27,9 @@ def test_mesh_3D(): model=model, physical_name="first_entity", mesh_order=1, - resolutions=[ResolutionSpec(resolution_volumes=0.5)], + resolutions=[ + ConstantInField(resolution=10, apply_to="volumes"), + ], ) gmsh_entity = GMSH_entity( @@ -65,7 +67,7 @@ def test_mesh_2D(): model=model, physical_name="first_entity", mesh_order=1, - resolutions=[ResolutionSpec(resolution_volumes=0.5)], + # resolutions=[ResolutionSpec(resolution_volumes=0.5)], ) gmsh_entity = GMSH_entity( diff --git a/tests/test_multiple_physicals.py b/tests/test_multiple_physicals.py index dc2368a..07fcdd3 100644 --- a/tests/test_multiple_physicals.py +++ b/tests/test_multiple_physicals.py @@ -3,7 +3,7 @@ import shapely from meshwell.prism import Prism from meshwell.model import Model -from meshwell.resolution import ResolutionSpec +from meshwell.resolution import ConstantInField from shapely import clip_by_rect import pytest @@ -22,14 +22,18 @@ def test_multiple_physicals(): model=model, physical_name=("big_prism", "domain"), mesh_order=3, - resolutions=[ResolutionSpec(resolution_volumes=10)], + resolutions=[ + ConstantInField(resolution=10, apply_to="volumes"), + ], ) medium_prism = Prism( polygons=polygon.buffer(5, join_style="mitre"), buffers=buffers, model=model, physical_name=("medium_prism", "center"), - resolutions=[ResolutionSpec(resolution_volumes=10)], + resolutions=[ + ConstantInField(resolution=10, apply_to="volumes"), + ], mesh_order=2, ) small_prism = Prism( @@ -38,7 +42,9 @@ def test_multiple_physicals(): model=model, physical_name="small_prism", mesh_order=1, - resolutions=[ResolutionSpec(resolution_volumes=10)], + resolutions=[ + ConstantInField(resolution=10, apply_to="volumes"), + ], ) entities_list = [big_prism, medium_prism, small_prism] @@ -106,7 +112,9 @@ def test_multiple_physicals_additive(test_input, expected): model=model, physical_name=("big"), mesh_order=3, - resolutions=[ResolutionSpec(resolution_volumes=10)], + resolutions=[ + ConstantInField(resolution=10, apply_to="volumes"), + ], ) medium_prism = Prism( polygons=clip_by_rect( @@ -115,7 +123,9 @@ def test_multiple_physicals_additive(test_input, expected): buffers=buffers, model=model, physical_name=("medium"), - resolutions=[ResolutionSpec(resolution_volumes=10)], + resolutions=[ + ConstantInField(resolution=10, apply_to="volumes"), + ], mesh_order=2, additive=True, ) @@ -125,7 +135,9 @@ def test_multiple_physicals_additive(test_input, expected): model=model, physical_name="small", mesh_order=1, - resolutions=[ResolutionSpec(resolution_volumes=10)], + resolutions=[ + ConstantInField(resolution=10, apply_to="volumes"), + ], ) entities_list = [big_prism, medium_prism, small_prism] diff --git a/tests/test_resolution.py b/tests/test_resolution.py index f539c69..3b5de5f 100644 --- a/tests/test_resolution.py +++ b/tests/test_resolution.py @@ -4,7 +4,7 @@ from meshwell.polysurface import PolySurface from meshwell.model import Model from meshwell.prism import Prism -from meshwell.resolution import ResolutionSpec +from meshwell.resolution import ConstantInField, ThresholdField, ExponentialField from meshwell.utils import compare_meshes from pathlib import Path @@ -32,7 +32,7 @@ def test_2D_resolution(): model=model, mesh_order=2, physical_name="outer", - resolutions=[ResolutionSpec(resolution_surfaces=0.5)], + resolutions=[ConstantInField(apply_to="surfaces", resolution=0.5)], ) poly_obj2 = PolySurface( polygons=polygon2, @@ -40,12 +40,7 @@ def test_2D_resolution(): mesh_order=1, physical_name="inner", resolutions=[ - ResolutionSpec( - resolution_surfaces=2, - resolution_curves=0.1, - distmax_curves=2, - sizemax_curves=1, - ) + ThresholdField(sizemin=0.1, distmax=2, sizemax=1, apply_to="curves") ], ) @@ -78,7 +73,7 @@ def test_3D_resolution(): model=model, mesh_order=2, physical_name="outer", - resolutions=[ResolutionSpec(resolution_volumes=1)], + resolutions=[ConstantInField(resolution=1, apply_to="volumes")], ) prism_obj2 = Prism( polygons=polygon2, @@ -87,12 +82,8 @@ def test_3D_resolution(): mesh_order=1, physical_name="inner", resolutions=[ - ResolutionSpec( - resolution_volumes=1, - resolution_surfaces=0.2, - distmax_surfaces=1, - sizemax_surfaces=1, - ) + ConstantInField(resolution=1, apply_to="volumes"), + ThresholdField(sizemin=0.2, distmax=1, sizemax=1, apply_to="surfaces"), ], ) @@ -108,6 +99,53 @@ def test_3D_resolution(): compare_meshes(Path("mesh_test_3D_resolution.msh")) +def test_exponential_field(): + large_rect = 40 + small_rect = 5 + + polygon1 = shapely.Polygon( + [[0, 0], [large_rect, 0], [large_rect, large_rect], [0, large_rect], [0, 0]], + ) + polygon2 = shapely.Polygon( + [ + [small_rect, small_rect], + [large_rect - small_rect, small_rect], + [large_rect - small_rect, large_rect - small_rect], + [small_rect, 6], + [small_rect, small_rect], + ], + ) + + model = Model(n_threads=1) # 1 thread for deterministic mesh + poly_obj1 = PolySurface( + polygons=polygon1, + model=model, + mesh_order=2, + physical_name="outer", + resolutions=[ConstantInField(apply_to="surfaces", resolution=5)], + ) + poly_obj2 = PolySurface( + polygons=polygon2, + model=model, + mesh_order=1, + physical_name="inner", + resolutions=[ + ExponentialField( + growth_factor=1.05, sizemin=0.3, max_samplings=200, apply_to="curves" + ) + ], + ) + + entities_list = [poly_obj1, poly_obj2] + + model.mesh( + entities_list=entities_list, + default_characteristic_length=5, + verbosity=0, + filename="mesh_test_2D_exponential.msh", + ) + + if __name__ == "__main__": - test_2D_resolution() - test_3D_resolution() + test_exponential_field() + # test_3D_resolution() diff --git a/tests/test_smoothing.py b/tests/test_smoothing.py index 99e8d4f..cff4fc7 100644 --- a/tests/test_smoothing.py +++ b/tests/test_smoothing.py @@ -4,7 +4,7 @@ from meshwell.prism import Prism from meshwell.model import Model from meshwell.gmsh_entity import GMSH_entity -from meshwell.resolution import ResolutionSpec +from meshwell.resolution import ConstantInField def test_smoothing(): @@ -24,7 +24,9 @@ def test_smoothing(): model=model, physical_name="first_entity", mesh_order=1, - resolutions=[ResolutionSpec(resolution_volumes=0.5)], + resolutions=[ + ConstantInField(resolution=0.5, apply_to="volumes"), + ], ) gmsh_entity = GMSH_entity(