merged the gmsh meshes (2/3D) into a single mesh, updated other files to support this
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@ -4,13 +4,21 @@ import pickle
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import numpy as np
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from optparse import OptionParser
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import interp.bootstrap
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from interp.grid.delaunay import dgrid
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from interp.tools import improved_answer, friendly_exact_3D as exact
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def test_success(rcount, count):
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v = np.random.random((rcount, 3)) * 10
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if __name__ == '__main__':
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if len(sys.argv) != 3:
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print >> sys.stderr, "usage: %s <number of random points> <number of attempted interps>" % sys.argv[0]
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sys.exit(1)
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rcount, count = (int(i) for i in sys.argv[1:])
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v = np.random.random((rcount, 3))
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pickle.dump(v, open('/tmp/v.p', 'w'))
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q = np.array([exact(x) for x in v])
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@ -34,15 +42,8 @@ def test_success(rcount, count):
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results[improved_answer(a, e)] += 1
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i += 1
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except Exception as e:
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print e
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outside += 1
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print "total skipped points: %d" % outside
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return results
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if __name__ == '__main__':
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if len(sys.argv) != 3:
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print >> sys.stderr, "usage: %s <number of random points> <number of attempted interps>" % sys.argv[0]
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sys.exit(1)
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rcount, count = (int(i) for i in sys.argv[1:])
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print test_success(rcount, int(count))
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print results
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@ -7,9 +7,9 @@ import numpy as np
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from optparse import OptionParser
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import interp.bootstrap
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from interp.grid.gmsh import gmsh_grid3D, gmsh_grid
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from interp.tools import *
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from interp.grid.gmsh import ggrid
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from interp.grid.delaunay import dgrid
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from interp.tools import improved_answer, baker_exact_2D, baker_exact_3D, friendly_exact_2D, friendly_exact_3D
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def get_right_exact_func(options):
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f = None
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@ -25,10 +25,9 @@ def get_right_exact_func(options):
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f = friendly_exact_2D
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return f
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if __name__ == '__main__':
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parser = OptionParser(usage = "%prog [options] <input file> <number of attempts>")
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parser = OptionParser(usage = "%prog [options] <input file (gmsh) or random grid count (delaunay)> <number of attempts>")
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parser.add_option("-v", "--verbose",
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action="store_true", dest="verbose", default=False,
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@ -38,12 +37,19 @@ if __name__ == '__main__':
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action="store_true", dest="baker", default=False,
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help="use more impressive baker funcs")
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meshtype_options = ('gmsh', 'delaunay')
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parser.add_option('-t', '--type',
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type="str", dest="meshtype", default='dgrid',
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help="specify mesh type (default: %default, options gmsh, delaunay)")
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parser.add_option("-d", "--dimension",
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type="int", dest="dimension", default=3,
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help="use 3D or 2D gmsh lib (default: %default)")
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parser.add_option("-o", "--order",
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type="int", dest="order", default=3,
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help="order of interpolation (default: %default)")
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parser.add_option("-e", "--extra-points",
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type="int", dest="extra", default=3,
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help="number of extra points (default: %default)")
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@ -51,26 +57,38 @@ if __name__ == '__main__':
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(options, args) = parser.parse_args()
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if len(args) != 2:
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# print >> sys.stderr, "usage: %s <input file> <number of attempts>" % sys.argv[0]
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parser.print_usage()
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sys.exit(1)
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input_file, count = args
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if options.dimension == 3:
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g = gmsh_grid3D(input_file)
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if options.meshtype == 'gmsh':
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g = ggrid(input_file, options.dimension)
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elif options.meshtype == 'delaunay':
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point_count = int(input_file)
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v = np.random.random((point_count, options.dimension))
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g = dgrid(v)
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else:
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g = gmsh_grid(input_file)
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raise Exception("improper mesh type specified. options: %s\n%s" % (str(meshtype_options), options.meshtype))
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g.q = np.array([get_right_exact_func(options)(x) for x in g.verts])
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results = {True:0, False:0}
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for i in xrange(int(count)):
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X = np.random.random((1,options.dimension))[0]
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i = 0
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outside = 0
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while i < int(count):
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try:
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X = np.random.random((1,options.dimension))[0]
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a = g.run_baker(X, order = options.order, extra_points = options.extra)
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e = get_right_exact_func(options)(X)
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a = g.run_baker(X, order = options.order, extra_points = options.extra)
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e = get_right_exact_func(options)(X)
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results[improved_answer(a, e)] += 1
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results[improved_answer(a, e)] += 1
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i += 1
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except Exception as e:
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print e
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print X, i, count
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outside += 1
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print "total skipped points: %d" % outside
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print results
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@ -77,6 +77,7 @@ class grid(object):
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log.debug("simplex vert indicies: %s" % simplex.verts)
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R = self.create_mesh(simplex.verts)
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log.debug("R:\n%s", R)
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log.debug('total attempts before finding simplex: %d' % attempts)
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return R
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@ -92,7 +93,7 @@ class grid(object):
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q = [self.q[i] for i in indicies]
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return grid(p, q)
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def get_simplex_and_nearest_points(self, X, extra_points = 3, simplex_size = 3):
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def get_simplex_and_nearest_points(self, X, extra_points = 3):
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"""
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this returns two grid objects: R and S.
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@ -101,6 +102,7 @@ class grid(object):
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S is S_j from baker's paper : some verts from all point that are not the
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simplex
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"""
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simplex_size = self.dim + 1
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log.debug("extra verts: %d" % extra_points)
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log.debug("simplex size: %d" % simplex_size)
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@ -234,12 +236,13 @@ class cell(object):
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return interp.grid.simplex.contains(X, [G.verts[i] for i in self.verts])
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def __str__(self):
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neighbors = [str(i.name) for i in self.neighbors]
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return '<cell %s: verts: %s neighbors: [%s]>' %\
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# neighbors = [str(i.name) for i in self.neighbors]
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return '<cell %s: verts: %s neighbor count: %s>' %\
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(
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self.name,
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self.verts,
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", ".join(neighbors)
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len(self.neighbors),
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# ", ".join(neighbors)
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)
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__repr__ = __str__
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@ -44,6 +44,7 @@ class dgrid(basegrid):
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''', re.S|re.X)
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def __init__(self, verts, q = None):
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self.dim = len(verts[0])
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basegrid.__init__(self, verts,q)
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self.construct_connectivity()
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@ -22,27 +22,28 @@ EDGES_FOR_VOLUME_CONNECTIVITY = 3
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class gmsh_grid(grid):
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class ggrid(grid):
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def __init__(self, filename):
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def __init__(self, filename, dimension = 3):
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"""
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construct an interp.grid.grid-compliant grid
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object out of a 2D gmsh file
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object out of a {2,3}D gmsh file
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"""
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self.dim = dimension
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log.debug("dimension: %d", self.dim)
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gmsh_file = open(filename, 'r')
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gmsh_file.readline() # $MeshFormat
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format = gmsh_file.readline()
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fmat = gmsh_file.readline()
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gmsh_file.readline() # $EndMeshFormat
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gmsh_file.readline() # $Nodes
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node_count = int(gmsh_file.readline())
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# for dim = 2, see note in next for loop
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self.verts = np.empty((node_count, 2))
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self.verts = np.empty((node_count, dimension))
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self.q = np.empty(node_count)
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for i in xrange(node_count):
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@ -53,13 +54,16 @@ class gmsh_grid(grid):
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self.verts[i][0] = float(x)
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self.verts[i][1] = float(y)
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# for the general baker method to work, it must have 2
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# components if it it a 2D mesh, so I removed:
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# self.verts[i][2] = float(z)
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if self.dim == 3:
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self.verts[i][2] = float(z)
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grid.__init__(self)
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self.tree = KDTree(self.verts)
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# initialize rest of structures about to be populated (cells,
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# cells_for_vert)
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grid.__init__(self)
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gmsh_file.readline() # $EndNodes
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gmsh_file.readline() # $Elements
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@ -74,7 +78,8 @@ class gmsh_grid(grid):
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int(cur_line[1]),
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[int(j) for j in cur_line[2:]])
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if(node_type == THREE_NODE_TRIANGLE):
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if (node_type == THREE_NODE_TRIANGLE and self.dim == 2) \
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or (node_type == FOUR_NODE_TET and self.dim == 3):
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points_for_cur_cell = [i-1 for i in rest[rest[0]+1:]]
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cur_cell = cell(cur_cell_index)
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@ -85,81 +90,7 @@ class gmsh_grid(grid):
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cur_cell.verts = points_for_cur_cell
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self.cells[cur_cell_index] = cur_cell
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edges = [tuple(sorted(i)) for i in combinations(points_for_cur_cell, EDGES_FOR_FACE_CONNECTIVITY)]
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# edge is two verts
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for edge in edges:
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if edge in neighbors:
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neighbors[edge].append(cur_cell_index)
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else:
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neighbors[edge] = [cur_cell_index]
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for k,v in neighbors.iteritems():
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if len(v) > 1:
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self.cells[v[0]].add_neighbor(self.cells[v[1]])
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self.cells[v[1]].add_neighbor(self.cells[v[0]])
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class gmsh_grid3D(grid):
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def __init__(self, filename):
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"""
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construct an interp.grid.grid-compliant grid
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object out of a 3D gmsh file
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"""
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gmsh_file = open(filename, 'r')
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gmsh_file.readline() # $MeshFormat
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format = gmsh_file.readline()
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gmsh_file.readline() # $EndMeshFormat
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gmsh_file.readline() # $Nodes
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node_count = int(gmsh_file.readline())
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self.verts = np.empty((node_count, 3))
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self.q = np.empty(node_count)
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for i in xrange(node_count):
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cur_line = gmsh_file.readline()
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(index, x,y,z) = cur_line.split()
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index = int(index) - 1
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self.verts[i][0] = float(x)
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self.verts[i][1] = float(y)
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self.verts[i][2] = float(z)
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grid.__init__(self)
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self.tree = KDTree(self.verts)
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gmsh_file.readline() # $EndNodes
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gmsh_file.readline() # $Elements
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# temporary dict used to compute cell connectivity
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neighbors = {}
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element_count = int(gmsh_file.readline())
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for i in xrange(element_count):
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cur_line = gmsh_file.readline()
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cur_line = cur_line.split()
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cur_cell_index, node_type, rest = (int(cur_line[0]),
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int(cur_line[1]),
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[int(j) for j in cur_line[2:]])
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if(node_type == FOUR_NODE_TET):
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points_for_cur_cell = [i-1 for i in rest[rest[0]+1:]]
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cur_cell = cell(cur_cell_index)
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for cur_point in points_for_cur_cell:
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self.cells_for_vert[cur_point].append(cur_cell)
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cur_cell.verts = points_for_cur_cell
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self.cells[cur_cell_index] = cur_cell
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edges = [tuple(sorted(i)) for i in combinations(points_for_cur_cell, EDGES_FOR_VOLUME_CONNECTIVITY)]
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edges = [tuple(sorted(i)) for i in combinations(points_for_cur_cell, self.dim)]
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for edge in edges:
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if edge in neighbors:
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