9ff48f4c12
I really think that I need to create my own point object, and hang the facet information directly off of that. right now there are simply parallel arrays for q, numpy.array(x,y), and {point_index: [adjacent faces]} ...
work to be done!
173 lines
4.3 KiB
Python
Executable File
173 lines
4.3 KiB
Python
Executable File
#!/usr/bin/python
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import sys
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import re
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import numpy as np
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import scipy.spatial
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from tools import exact_func
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from smcqdelaunay import *
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class face(object):
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def __init__(self, name):
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self.name = name
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self.verts = []
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self.neighbors = []
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def add_vert(self, v):
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self.verts.append(v)
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def add_neighbor(self, n):
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self.neighbors.append(n)
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def __str__(self):
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neighbors = [i.name for i in self.neighbors]
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return '%s: points: %s neighbors: [%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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)
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class grid(object):
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facet_re = re.compile(r'''
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-\s+(?P<facet>f\d+).*?
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vertices:\s(?P<verts>.*?)\n.*?
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neighboring\s facets:\s+(?P<neigh>[\sf\d]*)
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''', re.S|re.X)
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point_re = re.compile(r'''
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-\s+(?P<point>p\d+).*?
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neighbors:\s+(?P<neigh>[\sf\d]*)
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''', re.S|re.X)
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vert_re = re.compile(r'''
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(p\d+)
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''', re.S|re.X)
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def __init__(self, points, q):
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"""
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this thing eats two pre-constructed arrays of stuff:
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points = array of arrays (2 for 2D, 3 for 3D)
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q = array (1D) of important values
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"""
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self.points = np.array(points)
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self.q = np.array(q)
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self.faces = {}
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self.facets_for_point = {}
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def construct_connectivity(self, qdelaunay_string):
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facet_to_facets = []
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for matcher in grid.facet_re.finditer(qdelaunay_string):
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d = matcher.groupdict()
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facet_name = d['facet']
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verticies = d['verts']
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neighboring_facets = d['neigh']
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cur_face = face(facet_name)
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self.faces[facet_name] = cur_face
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for v in grid.vert_re.findall(verticies):
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cur_face.add_vert(int(v[1:]))
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nghbrs = [(facet_name, i) for i in neighboring_facets.split()]
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facet_to_facets.extend(nghbrs)
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for rel in facet_to_facets:
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if rel[1] in self.faces:
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self.faces[rel[0]].add_neighbor(self.faces[rel[1]])
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for matcher in grid.point_re.finditer(qdelaunay_string):
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d = matcher.groupdict()
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point = d['point']
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neighboring_facets = d['neigh']
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self.facets_for_point[int(point[1:])] = [i for i in neighboring_facets.split() if i in self.faces]
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def for_qhull_generator(self):
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"""
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this returns a generator that should be fed into qdelaunay
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"""
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yield '2';
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yield '%d' % len(self.points)
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for p in self.points:
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yield "%f %f" % (p[0], p[1])
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def for_qhull(self):
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"""
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this returns a single string that should be fed into qdelaunay
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"""
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r = '2\n'
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r += '%d\n' % len(self.points)
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for p in self.points:
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r += "%f %f\n" % (p[0], p[1])
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return r
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def __str__(self):
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r = ''
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assert( len(self.points) == len(self.q) )
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for c, i in enumerate(zip(self.points, self.q)):
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r += "%d %r: %0.4f" % (c,i[0], i[1])
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r += " faces: %s\n" % (self.facets_for_point[c])
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if self.faces:
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for v in self.faces.itervalues():
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r += "%s\n" % v
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return r
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class simple_rect_grid(grid):
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def __init__(self, xres = 5, yres = 5):
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xmin = -1.0
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xmax = 1.0
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xspan = xmax - xmin
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xdel = xspan / float(xres - 1)
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ymin = -1.0
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ymay = 1.0
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yspan = ymay - ymin
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ydel = yspan / float(yres - 1)
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points = []
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q = []
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for x in xrange(xres):
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cur_x = xmin + (x * xdel)
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for y in xrange(yres):
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cur_y = ymin + (y * ydel)
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points.append([cur_x, cur_y])
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q.append(exact_func(cur_x, cur_y))
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grid.__init__(self, points, q)
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class simple_random_grid(simple_rect_grid):
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def __init__(self, num_points = 10):
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points = []
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q = []
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r = np.random
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for i in xrange(num_points):
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cur_x = r.rand()
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cur_y = r.rand()
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points.append([cur_x, cur_y])
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q.append(exact_func(cur_x, cur_y))
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grid.__init__(self, points, q)
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self.points = np.array(self.points)
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self.q = np.array(self.q)
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if __name__ == '__main__':
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try:
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resolution = int(sys.argv[1])
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except:
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resolution = 10
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g = simple_rect_grid(resolution, resolution)
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print g.for_qhull()
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