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Commit f437cd5c authored by Jonathan Lambrechts's avatar Jonathan Lambrechts
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examples/1-simple.py
View file @ f437cd5c
......@@ -7,10 +7,10 @@
import seamsh
from seamsh.geometry import CurveType
import numpy as np
from osgeo import osr
from osgeo import osr
# %%
# First, let's create a domain object and its associated projection.
# First, let's create a domain object and its associated projection.
# Any projection supported by osgeo.osr can be used.
domain_srs = osr.SpatialReference()
......@@ -19,68 +19,73 @@ domain = seamsh.geometry.Domain(domain_srs)
# %%
# Boundary curves are created from a list of control points, an osr projection,
# a physical tag and a curve type. If the projection does not match the domain's
# projection, the points are re-projected.
# a physical tag and a curve type. If the projection does not match the
# domain's projection, the points are re-projected.
#
# A STRICTPOLYLINE curve linearly interpolates control points and forces a mesh
# point on each control point.
domain.add_boundary_curve([[0,0],[-0.2,0.25],[-0.2,0.75],[0,1]],
"wall0",domain_srs,curve_type=CurveType.STRICTPOLYLINE)
domain.add_boundary_curve([[0, 0], [-0.2, 0.25], [-0.2, 0.75], [0, 1]],
"wall0", domain_srs,
curve_type=CurveType.STRICTPOLYLINE)
# %%
# A POLYLINE is similar to a STRICTPOLYLINE but no mesh point is forced on the
# control points, the mesher can cut the corners.
# control points, the mesher can cut the corners.
domain.add_boundary_curve([[0,1],[0.25,1.2],[0.75,1.2],[1,1]],
"wall1",domain_srs,curve_type=CurveType.POLYLINE)
x = [[0, 1], [0.25, 1.2], [0.75, 1.2], [1, 1]]
domain.add_boundary_curve(x, "wall1", domain_srs, CurveType.POLYLINE)
# %%
# A SPLINE uses a cubic spline interpolation through the control points
domain.add_boundary_curve([[0,0],[0.25,-0.2],[0.75,-0.2],[1,0]],
"wall2",domain_srs,curve_type=CurveType.SPLINE)
x = [[0, 0], [0.25, -0.2], [0.75, -0.2], [1, 0]]
domain.add_boundary_curve(x, "wall2", domain_srs, CurveType.SPLINE)
# %%
# A BSPLINE is smoother than a SPLINE but the control points are not on the
# curve.
domain.add_boundary_curve([[1,1],[1.2,0.75],[1.2,0.25],[1,0]],
"wall3",domain_srs,curve_type=CurveType.BSPLINE)
x = [[1, 1], [1.2, 0.75], [1.2, 0.25], [1, 0]]
domain.add_boundary_curve(x, "wall3", domain_srs, CurveType.BSPLINE)
# %%
# If the last point is the same as the first one, a periodic curve is
# If the last point is the same as the first one, a periodic curve is
# created.
domain.add_boundary_curve([[0.4,0.6],[0.6,0.6],[0.6,0.4],[0.4,0.4],[0.4,0.6]],
"island",domain_srs,curve_type=CurveType.BSPLINE)
x = [[0.4, 0.6], [0.6, 0.6], [0.6, 0.4], [0.4, 0.4], [0.4, 0.6]]
domain.add_boundary_curve(x, "island", domain_srs, CurveType.BSPLINE)
# %%
# Interior curves are meshed on both sides, they do not define the domain
# Interior curves are meshed on both sides, they do not define the domain
# boundaries but forces edge alignment and mesh points. When an interior curve
# touch a boundary or another interior curve, a control point should be
# touch a boundary or another interior curve, a control point should be
# present in both curves at the intersection.
domain.add_interior_curve([[-0.2,0.75],[0.1,0.6],[0.2,0.4],[0.1,0.4]],
"interior1",domain_srs,curve_type=CurveType.BSPLINE)
domain.add_interior_curve([[0.1,0.4],[0.1,0.6],[0.1,0.8]],
"interior2",domain_srs,curve_type=CurveType.POLYLINE)
x = [[-0.2, 0.75], [0.1, 0.6], [0.2, 0.4], [0.1, 0.4]]
domain.add_interior_curve(x, "interior1", domain_srs, CurveType.BSPLINE)
x = [[0.1, 0.4], [0.1, 0.6], [0.1, 0.8]]
domain.add_interior_curve(x, "interior2", domain_srs, CurveType.POLYLINE)
# %%
# Force several tagged mesh points
domain.add_interior_points([[0.8,0.13]],"forcedpoint1",domain_srs)
domain.add_interior_points([[0.8,0.8],[0.8,0.7]],"forcedpoint2",domain_srs)
x = [[0.8, 0.13]]
domain.add_interior_points(x, "forcedpoint1", domain_srs)
x = [[0.8, 0.8], [0.8, 0.7]]
domain.add_interior_points(x, "forcedpoint2", domain_srs)
# %%
# A callback which takes an numpy array of points and a projection as argument
# defines the mesh element size. In this case, a simple analytical function is
# defines the mesh element size. In this case, a simple analytical function is
# used.
def mesh_size(x, projection) :
return (0.005+(1+np.sin(4*np.pi*x[:,1]*np.pi*x[:,0]))*0.01)
def mesh_size(x, projection):
return (0.005+(1+np.sin(4*np.pi*x[:, 1]*np.pi*x[:, 0]))*0.01)
# %%
# Finally, the seamesh.gmsh.mesh function generates the mesh.
# Finally, the seamesh.gmsh.mesh function generates the mesh.
seamsh.gmsh.mesh(domain,"basic_geometry.msh",mesh_size,version=2.0)
seamsh.gmsh.mesh(domain, "basic_geometry.msh", mesh_size, version=2.0)
examples/2-gis.py
View file @ f437cd5c
# %%
# GIS Data
# ========
# This example illustrates how the lirbary interacts with various GIS file formats.
# directly from numpy arrays and osr spatial references.
#
# For the sake of this example, we start by downloading some data.
# This example illustrates how the lirbary interacts with various GIS file
# formats directly from numpy arrays and osr spatial references.
#
# Let's download some data.
import os
import urllib.request
import tarfile
if not os.path.isdir("data2") :
urllib.request.urlretrieve("ftp://braque.mema.ucl.ac.be/seamsh/data-test-2.tar.gz",
"data-test-2.tar.gz")
f = tarfile.open("data-test-2.tar.gz","r:*")
if not os.path.isdir("data2"):
url = "ftp://braque.mema.ucl.ac.be/seamsh/data-test-2.tar.gz"
urllib.request.urlretrieve(url, "data-test-2.tar.gz")
f = tarfile.open("data-test-2.tar.gz", "r:*")
f.extractall()
# %%
......@@ -22,7 +22,7 @@ import seamsh
from seamsh.geometry import CurveType
import seamsh.geometry
import numpy as np
from osgeo import osr
from osgeo import osr
# %%
# First, let's create a domain object and its associated projection.
......@@ -37,47 +37,52 @@ domain = seamsh.geometry.Domain(domain_srs)
# In the shapefile, a field named "physical" defines the physical tag of each
# curve. If a re-projection is required, it will be done automatically.
domain.add_boundary_curves_shp("data2/data_no_duplicate.shp","physical",CurveType.POLYLINE)
domain.add_boundary_curves_shp("data2/data_no_duplicate.shp",
"physical", CurveType.POLYLINE)
# %%
# Interior curves and interior points can be loaded in a similar way.
# Physical tags are optional
domain.add_interior_curves_shp("data2/interior.shp",None,CurveType.STRICTPOLYLINE)
domain.add_interior_points_shp("data2/interior_points.shp","physical")
domain.add_interior_curves_shp("data2/interior.shp",
None, CurveType.STRICTPOLYLINE)
domain.add_interior_points_shp("data2/interior_points.shp", "physical")
# %%
# Seamsh provides helper classes to compute the element size field.
#
# field.Raster allows to load geotiff files (or any raster file supported by gdal).
# field.Raster allows to load geotiff files (or any gdal raster file).
bath_field = seamsh.field.Raster("data2/medit.tiff")
# %%
# field.Distance can be used to compute the distance from given (tagged) boundaries.
# A first field returns the distance from boundaries with physical tag "coast", or
# "island". The curves are sampled at regular intervals and the computed distance is
# actually the distance from the closest sampling point. The second argument sets
# the length of the interval between the sampling points.
# field.Distance can be used to compute the distance from given (tagged)
# boundaries. A first field returns the distance from boundaries with physical
# tag "coast", or "island". The curves are sampled at regular intervals and
# the computed distance is actually the distance from the closest sampling
# point. The second argument sets the length of the interval between the
# sampling points.
dist_coast_field = seamsh.field.Distance(domain,100,["coast","island"])
dist_coast = seamsh.field.Distance(domain, 100, ["coast", "island"])
# %%
# A second distance field returns the distance from the island tagged "porquerolles",
# in the shp file.
# A second distance field returns the distance from the island tagged
# "porquerolles", in the shp file.
dist_porquerolles = seamsh.field.Distance(domain, 20, ["porquerolles"])
dist_porquerolles_field = seamsh.field.Distance(domain,20,["porquerolles"])
# %%
# The mesh size is defined based on those fields, smaller elements are prescribed
# around the Porquerolles island.
# The mesh size is defined based on those fields, smaller elements are
# prescribed around the Porquerolles island.
def mesh_size(x,projection) :
s_coast = np.clip((dist_coast_field(x,projection)-400)*0.5,200,5000)
s_porq = np.clip((dist_porquerolles_field(x,projection)-200)*0.5,50,5000)
s_dist = np.minimum(s_coast,s_porq)
def mesh_size(x, projection):
s_coast = np.clip((dist_coast(x, projection)-400)*0.5, 200, 5000)
s_porq = np.clip((dist_porquerolles(x, projection)-200)*0.5, 50, 5000)
s_dist = np.minimum(s_coast, s_porq)
return s_dist
# %%
# Another option would be to take a mesh size proportional to the square root
# of the (clipped) bathymetry :
......@@ -93,10 +98,11 @@ def mesh_size(x,projection) :
# special value "-" an interactive gmsh graphical window will pop up
# after each meshing step.
seamsh.gmsh.mesh(domain,"gis_mesh.msh",mesh_size,intermediate_file_name="debug")
seamsh.gmsh.mesh(domain, "gis_mesh.msh", mesh_size,
intermediate_file_name="debug")
# %%
# The gmsh.convert_to_gis function can be used to convert a gmsh .msh file
# into a shape file or into a geo package file.
seamsh.gmsh.convert_to_gis("gis_mesh.msh",domain_srs,"gis_mesh.gpkg")
seamsh.gmsh.convert_to_gis("gis_mesh.msh", domain_srs, "gis_mesh.gpkg")
examples/3-coarsening.py
View file @ f437cd5c
......@@ -9,9 +9,9 @@
# - Thanks to the fitting of the input data resolution to the final mesh
# element size, the quality of the elements near the boundary is improved.
# - The input curves do not have to form topologically valid closed loops.
# The only requirement is that the external boundary should be closed
# but the lines defining the boundaries can intersect each others.
#
# The only requirement is that the external boundary should be closed
# but the lines defining the boundaries can intersect each others.
#
# But :
#
# - Interior curves are not handled, they can be present as long as they
......@@ -23,17 +23,17 @@
import os
import urllib.request
import tarfile
if not os.path.isdir("data") :
urllib.request.urlretrieve("ftp://braque.mema.ucl.ac.be/seamsh/data-test-1.tar.gz",
"data-test-1.tar.gz")
f = tarfile.open("data-test-1.tar.gz","r:*")
if not os.path.isdir("data"):
url = "ftp://braque.mema.ucl.ac.be/seamsh/data-test-1.tar.gz"
urllib.request.urlretrieve(url, "data-test-1.tar.gz")
f = tarfile.open("data-test-1.tar.gz", "r:*")
f.extractall()
import seamsh
from seamsh.geometry import CurveType
import seamsh.geometry
import numpy as np
from osgeo import osr
from osgeo import osr
lonlat = osr.SpatialReference()
lonlat.ImportFromProj4("+proj=latlong +ellps=WGS84 +unit=degrees")
......@@ -43,32 +43,36 @@ utm31 = osr.SpatialReference()
utm31.ImportFromProj4("+proj=utm +ellps=WGS84 +zone=31")
domain = seamsh.geometry.Domain(utm31)
domain.add_boundary_curves_shp("data/data_no_duplicate.shp","physical",CurveType.POLYLINE)
domain.add_boundary_curves_shp("data/data_no_duplicate.shp",
"physical", CurveType.POLYLINE)
# %%
# Clip the domain by a circle in UTM (zone32) coordinates
alphas = np.linspace(0,2*np.pi,200)
circle_points = np.array([[272e3,4763e3]])+50e3*np.column_stack([np.sin(alphas),np.cos(alphas)])
domain.add_boundary_curve(circle_points,"open",utm32)
alphas = np.linspace(0, 2*np.pi, 200)
circle_points = np.array([[272e3, 4763e3]]) \
+ 50e3*np.column_stack([np.sin(alphas), np.cos(alphas)])
domain.add_boundary_curve(circle_points, "open", utm32)
dist_coast = seamsh.field.Distance(domain, 100, ["coast", "island"])
dist_porquerolles = seamsh.field.Distance(domain, 20, ["porquerolles"])
dist_coast_field = seamsh.field.Distance(domain,100,["coast","island"])
dist_porquerolles_field = seamsh.field.Distance(domain,20,["porquerolles"])
def mesh_size(x,projection) :
s_coast = np.clip((dist_coast_field(x,projection)-400)*0.5,200,5000)
s_porq = np.clip((dist_porquerolles_field(x,projection)-200)*0.5,50,5000)
s_dist = np.minimum(s_coast,s_porq)
def mesh_size(x, projection):
s_coast = np.clip((dist_coast(x, projection)-400)*0.5, 200, 5000)
s_porq = np.clip((dist_porquerolles(x, projection)-200)*0.5, 50, 5000)
s_dist = np.minimum(s_coast, s_porq)
return s_dist
# %%
# The geometry.coarsen_boundaries function requires in input the coordinates of one (any)
# point which is inside the domain.
# The geometry.coarsen_boundaries function requires in input the coordinates
# of one (any) point which is inside the domain.
coarse = seamsh.geometry.coarsen_boundaries(domain,(6.21,42.95),lonlat,mesh_size)
coarse = seamsh.geometry.coarsen_boundaries(domain, (6.21, 42.95),
lonlat, mesh_size)
# %%
# The resulting coarsened domain can be meshed normally.
seamsh.gmsh.mesh(coarse,"coarse_boundary_mesh.msh",mesh_size)
seamsh.gmsh.mesh(coarse, "coarse_boundary_mesh.msh", mesh_size)
examples/4-advanced-gmsh.py
View file @ f437cd5c
......@@ -2,19 +2,19 @@
# Advanced Gmsh / Quad Mesh
# =========================
# Seamsh uses gmsh internally. The whole gmsh python api is exposed through the
# seamsh.gmsh.gmsh module (the repetition is not a typo). This example is a
# variation on the previous one using the gmsh api to generate a quadrangular
# seamsh.gmsh.gmsh module (the repetition is not a typo). This example is a
# variation on the previous one using the gmsh api to generate a quadrangular
# instead of triangular mesh.
#
#
# We start as usual.
import os
import urllib.request
import tarfile
if not os.path.isdir("data") :
urllib.request.urlretrieve("ftp://braque.mema.ucl.ac.be/seamsh/data-test-1.tar.gz",
"data-test-1.tar.gz")
f = tarfile.open("data-test-1.tar.gz","r:*")
if not os.path.isdir("data"):
url = "ftp://braque.mema.ucl.ac.be/seamsh/data-test-1.tar.gz"
urllib.request.urlretrieve(url, "data-test-1.tar.gz")
f = tarfile.open("data-test-1.tar.gz", "r:*")
f.extractall()
......@@ -22,34 +22,37 @@ import seamsh
from seamsh.geometry import CurveType
import seamsh.geometry
import numpy as np
from osgeo import osr
from osgeo import osr
domain_srs = osr.SpatialReference()
domain_srs.ImportFromProj4("+proj=utm +ellps=WGS84 +zone=31")
domain = seamsh.geometry.Domain(domain_srs)
domain.add_boundary_curves_shp("data/data_no_duplicate.shp","physical",CurveType.POLYLINE)
domain.add_boundary_curves_shp("data/data_no_duplicate.shp",
"physical", CurveType.POLYLINE)
dist_coast_field = seamsh.field.Distance(domain,100,["coast","island"])
dist_porquerolles_field = seamsh.field.Distance(domain,20,["porquerolles"])
dist_coast = seamsh.field.Distance(domain, 100, ["coast", "island"])
dist_porquerolles = seamsh.field.Distance(domain, 20, ["porquerolles"])
def mesh_size(x,projection) :
s_coast = np.clip((dist_coast_field(x,projection)-400)*0.5,200,5000)
s_porq = np.clip((dist_porquerolles_field(x,projection)-200)*0.5,50,5000)
s_dist = np.minimum(s_coast,s_porq)
def mesh_size(x, projection):
s_coast = np.clip((dist_coast(x, projection)-400)*0.5, 200, 5000)
s_porq = np.clip((dist_porquerolles(x, projection)-200)*0.5, 50, 5000)
s_dist = np.minimum(s_coast, s_porq)
return s_dist
coarse = seamsh.geometry.coarsen_boundaries(domain,(8e5,4.68e6),domain_srs,mesh_size,20)
coarse = seamsh.geometry.coarsen_boundaries(domain, (8e5, 4.68e6),
domain_srs, mesh_size)
# %%
# The gmsh options are set. The full list of gmsh mesh options can be found in
# `gmsh's documentation <https://gmsh.info/doc/texinfo/gmsh.html#Mesh-options-list>`_.
seamsh.gmsh.gmsh.option.setNumber("Mesh.RecombineAll",1);
seamsh.gmsh.gmsh.option.setNumber("Mesh.RecombinationAlgorithm",1);
seamsh.gmsh.gmsh.option.setNumber("Mesh.Algorithm",8);
seamsh.gmsh.gmsh.option.setNumber("Mesh.RecombineAll", 1)
seamsh.gmsh.gmsh.option.setNumber("Mesh.RecombinationAlgorithm", 1)
seamsh.gmsh.gmsh.option.setNumber("Mesh.Algorithm", 8)
# %%
# Eventually the mesh is generated.
seamsh.gmsh.mesh(coarse,"quad_mesh.msh",mesh_size)
seamsh.gmsh.mesh(coarse, "quad_mesh.msh", mesh_size)
seamsh/__init__.py
View file @ f437cd5c
# seamsh - Copyright (C) <2010-2020>
# <Universite catholique de Louvain (UCL), Belgium
#
#
# List of the contributors to the development of seamsh: see AUTHORS file.
# Description and complete License: see LICENSE file.
#
# This program (seamsh) is free software:
# you can redistribute it and/or modify it under the terms of the GNU Lesser General
# Public License as published by the Free Software Foundation, either version
# 3 of the License, or (at your option) any later version.
#
#
# This program (seamsh) is free software:
# you can redistribute it and/or modify it under the terms of the GNU
# Lesser General Public License as published by the Free Software Foundation,
# either version 3 of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program (see COPYING file). If not,
# along with this program (see COPYING file). If not,
# see <http://www.gnu.org/licenses/>.
from . import field
......
seamsh/field.py
View file @ f437cd5c
# seamsh - Copyright (C) <2010-2020>
# <Universite catholique de Louvain (UCL), Belgium
#
#
# List of the contributors to the development of seamsh: see AUTHORS file.
# Description and complete License: see LICENSE file.
#
# This program (seamsh) is free software:
# you can redistribute it and/or modify it under the terms of the GNU Lesser General
# Public License as published by the Free Software Foundation, either version
# 3 of the License, or (at your option) any later version.
#
#
# This program (seamsh) is free software:
# you can redistribute it and/or modify it under the terms of the GNU
# Lesser General Public License as published by the Free Software Foundation,
# either version 3 of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program (see COPYING file). If not,
# along with this program (see COPYING file). If not,
# see <http://www.gnu.org/licenses/>.
from .geometry import Domain
......
seamsh/geometry.py
View file @ f437cd5c
# seamsh - Copyright (C) <2010-2020>
# <Universite catholique de Louvain (UCL), Belgium
#
#
# List of the contributors to the development of seamsh: see AUTHORS file.
# Description and complete License: see LICENSE file.
#
# This program (seamsh) is free software:
# you can redistribute it and/or modify it under the terms of the GNU Lesser General
# Public License as published by the Free Software Foundation, either version
# 3 of the License, or (at your option) any later version.
#
#
# This program (seamsh) is free software:
# you can redistribute it and/or modify it under the terms of the GNU
# Lesser General Public License as published by the Free Software Foundation,
# either version 3 of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program (see COPYING file). If not,
# along with this program (see COPYING file). If not,
# see <http://www.gnu.org/licenses/>.
from osgeo import ogr, osr
......@@ -29,7 +29,6 @@ import ctypes as c
from enum import Enum
import typing
libdir = os.path.dirname(os.path.realpath(__file__))
if platform.system() == "Windows":
libpath = os.path.join(libdir, "seamsh.dll")
......@@ -100,7 +99,7 @@ class _Curve:
class _Point:
def __init__(self,x,tag) :
def __init__(self, x, tag):
self.tag = tag
self.x = x
......@@ -134,9 +133,10 @@ class Domain:
curve.pointsid = unique_id[cid:cid+n]
cid += n
# assign points id for interior points
for point in self._interior_points :
for point in self._interior_points:
point.pointid = unique_id[cid]
cid += 1
# break curves on repeated points
def split_curves(curves, nbk):
newcurves = []
......@@ -237,7 +237,7 @@ class Domain:
self._add_geometry(i.geometry(), phys, layerproj, curve_type,
interior, points)
def add_interior_points(self, points: np.ndarray, physical_tag : str,
def add_interior_points(self, points: np.ndarray, physical_tag: str,
projection: osr.SpatialReference) -> None:
""" Add forced interior mesh points
......@@ -247,7 +247,7 @@ class Domain:
projection: the points coordinate system
"""
x = _ensure_valid_points(points, projection, self._projection)
points = list(_Point(p,physical_tag) for p in x)
points = list(_Point(p, physical_tag) for p in x)
self._interior_points += points
def add_boundary_curve(self, points: np.ndarray, physical_tag: str,
......@@ -324,10 +324,8 @@ class Domain:
self._add_shapefile(filename, physical_name_field, False, False,
curve_type)
from .gmsh import _curve_sample
def coarsen_boundaries(domain: Domain, x0: typing.Tuple[float, float],
x0projection: osr.SpatialReference,
mesh_size: MeshSizeCallback) -> Domain:
......@@ -341,34 +339,37 @@ def coarsen_boundaries(domain: Domain, x0: typing.Tuple[float, float],
mesh_size: a function returning the desired mesh element size for given
coordinates
"""
x0 = _ensure_valid_points(np.array([x0]),x0projection,domain._projection)[0]
x0 = _ensure_valid_points(np.array([x0]), x0projection,
domain._projection)[0]
sampled = []
tags = []
maxtag = 1
str2tag = {}
mesh_size_half = lambda x,p : mesh_size(x,p)/2
for curve in domain._curves :
def mesh_size_half(x, p):
return mesh_size(x, p)/2
for curve in domain._curves:
cs = _curve_sample(curve, mesh_size_half, domain._projection)
sampled.append(cs)
if curve.tag not in str2tag :
if curve.tag not in str2tag:
str2tag[curve.tag] = maxtag
maxtag += 1
tags.append(np.full(cs.shape[0],str2tag[curve.tag],dtype=np.int32))
tags.append(np.full(cs.shape[0], str2tag[curve.tag], dtype=np.int32))
x = np.vstack(sampled)
tags = np.concatenate(tags)
x, unique_id, _ = _generate_unique_points(x)
utags = list([-1,-1] for i in x)
for i,tag in zip(unique_id,tags) :
if utags[i][0] == -1 :
utags = list([-1, -1] for i in x)
for i, tag in zip(unique_id, tags):
if utags[i][0] == -1:
utags[i][0] = tag
found = False
j = i
while j != -1 :
while j != -1:
found |= utags[j][0] == tag
j = utags[j][1]
if not found :
if not found:
utags[j][1] = len(utags)
utags.append([tag,-1])
utags.append([tag, -1])
tags = np.array(utags).reshape([-1])
x = np.copy(x[:, :2])
# avoid cocircular points
......@@ -381,7 +382,7 @@ def coarsen_boundaries(domain: Domain, x0: typing.Tuple[float, float],
r = c.c_void_p(tmp.ctypes.data)
r.tmp = tmp
return r
tri = Delaunay(x)
tri = Delaunay(x)
first = tri.find_simplex(x0)
n_l = c.c_int()
n_xo = c.c_int()
......@@ -401,8 +402,8 @@ def coarsen_boundaries(domain: Domain, x0: typing.Tuple[float, float],
lines = np.ctypeslib.frombuffer(linesbuf.contents, dtype=np.int32)