MAJOR: updated the baker method. it's more generic, and should allow me to 3D-ifiy it more simply. a ton of other things
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107
bin/driver.py
107
bin/driver.py
@ -7,24 +7,77 @@ import numpy as np
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import scipy.spatial
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import scipy.spatial
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import baker
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import baker
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from tools import rms, get_mesh, exact_func
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from tools import rms, exact_func
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import grid
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def get_mesh(source, destination, use_structured_grid = False):
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mesh_source = None
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mesh_dest = None
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if use_structured_grid:
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mesh_source = grid.simple_rect_grid(source, source)
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mesh_dest = grid.simple_rect_grid(destination, destination)
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else:
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mesh_source = grid.simple_random_grid(source)
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mesh_dest = grid.simple_random_grid(destination)
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if not (mesh_dest and mesh_source):
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raise smberror('problem creating mesh objects')
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else:
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return mesh_source, mesh_dest
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if __name__ == '__main__':
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if __name__ == '__main__':
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parser = OptionParser()
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parser = OptionParser()
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parser.add_option("-o", "--output-file", dest="output", type='str', default = '/tmp/for_qhull.txt', help = "qhull output file")
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parser.add_option("-o",
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parser.add_option("-e", "--extra-points", dest="extra", type='int', default = 3, help = "how many extra points")
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"--output-file",
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dest="output",
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type='str',
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default = '/tmp/for_qhull.txt',
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help = "qhull output file")
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parser.add_option("-s", "--source-total", dest="source_total", type='int', default = 100, help = "total number of source points for random, resolution for structured")
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parser.add_option("-e",
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parser.add_option("-d", "--destination-total", dest="destination_total", type='int', default = 100, help = "total number of destination points, resolution for structured")
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"--extra-points",
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dest="extra",
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type='int',
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default = 3,
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help = "how many extra points")
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parser.add_option("-r", "--structured", action = 'store_true', default = False, help = "use a structured grid instead of random point cloud")
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parser.add_option("-s",
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parser.add_option("-v", "--verbose", action = 'store_true', default = False, help = "verbosity")
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"--source-total",
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dest="source_total",
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type='int',
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default = 100,
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help = "total number of source points for random,\
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resolution for structured")
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parser.add_option("-d",
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"--destination-total",
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dest="destination_total",
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type='int',
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default = 100,
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help = "total number of destination points,\
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resolution for structured")
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parser.add_option("-r",
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"--structured",
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action = 'store_true',
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default = False,
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help = "use a structured grid instead of random point cloud")
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parser.add_option("-v",
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"--verbose",
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action = 'store_true',
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default = False,
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help = "verbosity")
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(options, args) = parser.parse_args()
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(options, args) = parser.parse_args()
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print >> sys.stderr, options
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print >> sys.stderr, "options: %s, args: %s" % (options, args)
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mesh_source, mesh_dest = get_mesh(options.source_total, options.destination_total, options.structured)
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(mesh_source, mesh_dest) = get_mesh(options.source_total, options.destination_total, options.structured)
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tree = scipy.spatial.KDTree(mesh_source.points)
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tree = scipy.spatial.KDTree(mesh_source.points)
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open(options.output, 'w').write(mesh_source.for_qhull())
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open(options.output, 'w').write(mesh_source.for_qhull())
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@ -32,20 +85,36 @@ if __name__ == '__main__':
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errors = []
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errors = []
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success = 0
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success = 0
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for x in mesh_dest.points:
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lin, error, final = baker.run_baker(x, mesh_source, tree, options.extra, options.verbose)
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for X in mesh_dest.points:
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exact = exact_func(x[0], x[1])
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if np.abs(exact - final) < np.abs(exact - lin):
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(dist, indicies) = tree.query(X, 3 + options.extra)
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# get the containing simplex
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R = [mesh_source.points[i] for i in indicies[:3] ]
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Rq = [mesh_source.q[i] for i in indicies[:3] ]
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r_mesh = grid.grid(R, Rq)
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# and some extra points
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S = [mesh_source.points[i] for i in indicies[3:] ]
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Sq = [mesh_source.q[i] for i in indicies[3:] ]
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s_mesh = grid.grid(S, Sq)
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answer = baker.run_baker(X, r_mesh, s_mesh, options.extra, options.verbose)
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exact = exact_func(X[0], X[1])
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if np.abs(exact - answer['final']) < np.abs(exact - answer['qlin']):
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success += 1
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success += 1
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if options.verbose:
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if options.verbose:
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print "current point : %s" % x
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print "current point : %s" % X
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print "exact : %0.4f" % exact
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print "exact : %0.4f" % exact
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print "qlin : %0.4f" % lin
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print "qlin : %0.4f" % answer['lin']
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print "q_final : %0.4f" % final
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print "q_final : %0.4f" % answer['final']
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print "qlinerr : %0.4f" % (exact - lin,)
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print "qlinerr : %1.4f" % (exact - anser['lin'],)
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print "q_final_err : %0.4f" % (exact - final,)
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print "q_final_err : %0.4f" % (exact - answer['final'],)
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cur_error = np.abs(final - exact)
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cur_error = np.abs(answer['final'] - exact)
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errors.append(cur_error)
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errors.append(cur_error)
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print rms(errors)
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print rms(errors)
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53
lib/baker.py
53
lib/baker.py
@ -8,7 +8,7 @@ def get_phis(X, r):
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X -- the destination point (2D)
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X -- the destination point (2D)
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X = [0,0]
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X = [0,0]
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r -- the three points that make up the triangle (2D)
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r -- the three points that make up the triangular simplex (2D)
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r = [[-1, -1], [0, 2], [1, -1]]
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r = [[-1, -1], [0, 2], [1, -1]]
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this will return [0.333, 0.333, 0.333]
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this will return [0.333, 0.333, 0.333]
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@ -65,33 +65,35 @@ def get_phis_3D(X, r):
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return phi
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return phi
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def qlinear(X, r, q):
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def qlinear(X, R, q):
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"""
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"""
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this calculates the linear portion of q from X to r
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this calculates the linear portion of q from X to r
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also, this is baker eq 3
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X = destination point
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X = destination point
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r = simplex points
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R = simplex points
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q = CFD quantities of interest at the simplex points
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q = CFD quantities of interest at the simplex points
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"""
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"""
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phis = get_phis(X, r)
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phis = get_phis(X, R)
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qlin = sum([q_i * phi_i for q_i, phi_i in zip(q[:len(phis)], phis)])
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qlin = sum([q_i * phi_i for q_i, phi_i in zip(q, phis)])
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return qlin
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return qlin
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def qlinear_3D(X, r, q):
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def qlinear_3D(X, R, q):
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"""
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"""
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this calculates the linear portion of q from X to r
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this calculates the linear portion of q from X to r
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X = destination point
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X = destination point
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r = simplex points
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R = simplex points
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q = CFD quantities of interest at the simplex points(r)
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q = CFD quantities of interest at the simplex points(R)
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"""
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"""
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phis = get_phis_3D(X, r)
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phis = get_phis_3D(X, R)
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qlin = sum([q_i * phi_i for q_i, phi_i in zip(q[:len(phis)], phis)])
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qlin = sum([q_i * phi_i for q_i, phi_i in zip(q, phis)])
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return qlin
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return qlin
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def run_baker(X, g, tree, extra_points = 3, verbose = False):
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def run_baker(X, R, S, extra_points = 3, verbose = False):
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"""
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"""
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This is the main function to call to get an interpolation to X from the tree
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This is the main function to call to get an interpolation to X from the tree
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@ -104,26 +106,20 @@ def run_baker(X, g, tree, extra_points = 3, verbose = False):
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"""
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"""
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(dist, indicies) = tree.query(X, 3 + extra_points)
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nn = [g.points[i] for i in indicies]
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nq = [g.q[i] for i in indicies]
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# calculate values only for the triangle
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# calculate values only for the triangle
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phi = get_phis(X, nn[:3])
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phi = get_phis(X, S.points)
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qlin = qlinear(X, nn[:3], nq[:3])# nq[0] * phi[0] + nq[1] * phi[1] + nq[2] * phi[2]
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qlin = qlinear (X, S.points, S.q)
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error_term = 0.0
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if extra_points == 0: return qlin
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if extra_points != 0:
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B = [] # baker eq 9
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B = [] # baker eq 9
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w = [] # baker eq 11
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w = [] # baker eq 11
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for index in indicies[3:]:
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for (s, q) in zip(S.points, S.q):
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(phi1,phi2,phi3) = get_phis(g.points[index], nn)
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(phi1, phi2, phi3) = get_phis(s, R.points)
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B.append([phi1 * phi2, phi2*phi3, phi3*phi1])
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B.append([phi1 * phi2, phi2*phi3, phi3*phi1])
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w.append(g.q[index] - qlinear(g.points[index], nn, nq))
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w.append(q - qlinear(s, R.points, R.q))
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B = np.array(B)
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B = np.array(B)
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w = np.array(w)
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w = np.array(w)
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@ -144,4 +140,13 @@ def run_baker(X, g, tree, extra_points = 3, verbose = False):
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q_final = qlin + error_term
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q_final = qlin + error_term
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return qlin, error_term, q_final
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answer = {
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'a': a,
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'b': b,
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'c': c,
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'qlin': qlin,
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'error': error_term,
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'final': q_final,
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}
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return answer
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@ -71,5 +71,9 @@ class simple_random_grid(simple_rect_grid):
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if __name__ == '__main__':
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if __name__ == '__main__':
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g = simple_random_grid(100)
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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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print g.for_qhull()
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18
lib/tools.py
18
lib/tools.py
@ -1,6 +1,4 @@
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import numpy as np
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import numpy as np
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import grid
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class smberror(Exception):
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class smberror(Exception):
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def __init__(self, val):
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def __init__(self, val):
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@ -21,19 +19,3 @@ def rms(errors):
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def exact_func(x, y):
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def exact_func(x, y):
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return np.power((np.sin(x * np.pi) * np.cos(y * np.pi)), 2)
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return np.power((np.sin(x * np.pi) * np.cos(y * np.pi)), 2)
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return np.sin(x * np.pi) * np.cos(y * np.pi)
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return np.sin(x * np.pi) * np.cos(y * np.pi)
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def get_mesh(source, destination, use_structured_grid = False):
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mesh_source = None
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mesh_dest = None
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if use_structured_grid:
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mesh_source = grid.simple_rect_grid(source, source)
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mesh_dest = grid.simple_rect_grid(destination, destination)
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else:
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mesh_source = grid.simple_random_grid(source)
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mesh_dest = grid.simple_random_grid(destination)
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if not (mesh_dest and mesh_source):
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raise smberror('problem creating mesh objects')
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else:
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return mesh_source, mesh_dest
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@ -11,6 +11,19 @@ class TestSequenceFunctions(unittest.TestCase):
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def setUp(self):
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def setUp(self):
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self.l = [[-1, 1], [-1, 0], [-1, 1], [0, -1], [0, 0], [0, 1], [1, -1], [1, 0], [1, 1]]
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self.l = [[-1, 1], [-1, 0], [-1, 1], [0, -1], [0, 0], [0, 1], [1, -1], [1, 0], [1, 1]]
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self.approx_fmt = "%0.6f"
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self.approx_fmt = "%0.6f"
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self.all_points = [
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[ 0, 0], # 0
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[ 1, 0], # 1
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[ 1, 1], # 2
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[ 0, 1], # 3
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[ 1,-1], # 4
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[ 0,-1], # 5
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[-1, 1], # 6
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[-1, 0], # 7
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[-1,-1], # 8
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]
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self.q = [1, 0, 0, 0, 0, 0, 0, 0, 0]
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self.X = [1.5, 10.25]
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def testGetPhis(self):
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def testGetPhis(self):
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@ -48,29 +61,80 @@ class TestSequenceFunctions(unittest.TestCase):
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self.assertEqual(result, right_answer)
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self.assertEqual(result, right_answer)
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def testRunBaker(self):
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def testRunBaker_1(self):
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X = [0.5, 0.25]
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size_of_simplex = 3
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extra_points = 3
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all_points = [
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R = grid.grid(self.all_points[:size_of_simplex],
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[ 0, 0], # 0
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self.q[:size_of_simplex])
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[ 1, 0], # 1
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[ 1, 1], # 2
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[ 0, 1], # 3
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[ 1,-1], # 4
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[ 0,-1], # 5
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[-1, 1], # 6
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[-1, 0], # 7
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[-1,-1], # 8
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]
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q = [1, 0, 0, 0, 0, 0, 0, 0, 0]
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mesh = grid.grid(all_points, q)
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tree = scipy.spatial.KDTree(all_points)
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(final, exact) = baker.run_baker(X, mesh, tree)
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print final, exact
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result = 3
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right_answer = 3
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self.assertEqual(result, right_answer)
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S = grid.grid(self.all_points[size_of_simplex:size_of_simplex + extra_points],
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self.q[size_of_simplex:size_of_simplex + extra_points])
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answer = baker.run_baker(self.X, R, S)
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a = self.approx_fmt % answer['a']
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b = self.approx_fmt % answer['b']
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c = self.approx_fmt % answer['c']
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self.assertEqual(a, c)
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self.assertEqual(c, self.approx_fmt % 0.00)
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self.assertEqual(b, self.approx_fmt % (1/3.0))
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def testRunBaker_2(self):
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size_of_simplex = 3
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extra_points = 4
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R = grid.grid(self.all_points[:size_of_simplex],
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self.q[:size_of_simplex])
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S = grid.grid(self.all_points[size_of_simplex:size_of_simplex + extra_points],
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self.q[size_of_simplex:size_of_simplex + extra_points])
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answer = baker.run_baker(self.X, R, S)
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a = self.approx_fmt % answer['a']
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b = self.approx_fmt % answer['b']
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c = self.approx_fmt % answer['c']
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self.assertEqual(a, c)
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self.assertEqual(c, self.approx_fmt % float(2/3.0))
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def testRunBaker_3(self):
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||||||
|
size_of_simplex = 3
|
||||||
|
extra_points = 5
|
||||||
|
|
||||||
|
R = grid.grid(self.all_points[:size_of_simplex],
|
||||||
|
self.q[:size_of_simplex])
|
||||||
|
|
||||||
|
S = grid.grid(self.all_points[size_of_simplex:size_of_simplex + extra_points],
|
||||||
|
self.q[size_of_simplex:size_of_simplex + extra_points])
|
||||||
|
|
||||||
|
answer = baker.run_baker(self.X, R, S)
|
||||||
|
a = self.approx_fmt % answer['a']
|
||||||
|
b = self.approx_fmt % answer['b']
|
||||||
|
c = self.approx_fmt % answer['c']
|
||||||
|
|
||||||
|
self.assertEqual(a, self.approx_fmt % float(13/14.0))
|
||||||
|
self.assertEqual(b, self.approx_fmt % float(2 / 7.0))
|
||||||
|
self.assertEqual(c, self.approx_fmt % float(15/14.0))
|
||||||
|
|
||||||
|
def testRunBaker_4(self):
|
||||||
|
size_of_simplex = 3
|
||||||
|
extra_points = 6
|
||||||
|
|
||||||
|
R = grid.grid(self.all_points[:size_of_simplex],
|
||||||
|
self.q[:size_of_simplex])
|
||||||
|
|
||||||
|
S = grid.grid(self.all_points[size_of_simplex:size_of_simplex + extra_points],
|
||||||
|
self.q[size_of_simplex:size_of_simplex + extra_points])
|
||||||
|
|
||||||
|
answer = baker.run_baker(self.X, R, S)
|
||||||
|
a = self.approx_fmt % answer['a']
|
||||||
|
b = self.approx_fmt % answer['b']
|
||||||
|
c = self.approx_fmt % answer['c']
|
||||||
|
|
||||||
|
self.assertEqual(a, self.approx_fmt % float(48/53.0))
|
||||||
|
self.assertEqual(b, self.approx_fmt % float(15/53.0))
|
||||||
|
self.assertEqual(c, self.approx_fmt % float(54/53.0))
|
||||||
|
|
||||||
if __name__ == '__main__':
|
if __name__ == '__main__':
|
||||||
suite = unittest.TestLoader().loadTestsFromTestCase(TestSequenceFunctions)
|
suite = unittest.TestLoader().loadTestsFromTestCase(TestSequenceFunctions)
|
||||||
|
@ -1,76 +0,0 @@
|
|||||||
#!/usr/bin/python
|
|
||||||
|
|
||||||
import unittest
|
|
||||||
import baker
|
|
||||||
|
|
||||||
import numpy as np
|
|
||||||
import scipy.spatial
|
|
||||||
|
|
||||||
class TestSequenceFunctions(unittest.TestCase):
|
|
||||||
def setUp(self):
|
|
||||||
self.l = [[-1, 1], [-1, 0], [-1, 1], [0, -1], [0, 0], [0, 1], [1, -1], [1, 0], [1, 1]]
|
|
||||||
self.r = [[1,2,3], [2,2,3], [1,3,3], [1,2,9]]
|
|
||||||
self.approx_fmt = "%0.6f"
|
|
||||||
|
|
||||||
def testGetPhis(self):
|
|
||||||
|
|
||||||
X = [0,0]
|
|
||||||
r = [[-1, -1], [0, 2], [1, -1]]
|
|
||||||
|
|
||||||
result = baker.get_phis(X, r)
|
|
||||||
result = [self.approx_fmt % i for i in result]
|
|
||||||
|
|
||||||
right_answer = [self.approx_fmt % i for i in [1/3.0, 1/3.0, 1/3.0]]
|
|
||||||
|
|
||||||
for a,b in zip(result, right_answer):
|
|
||||||
self.assertEqual(a,b)
|
|
||||||
|
|
||||||
def testGetPhis2(self):
|
|
||||||
|
|
||||||
X = [0.5,0.25]
|
|
||||||
r = [[0, 0], [1, 0], [1, 1]]
|
|
||||||
|
|
||||||
result = baker.get_phis(X, r)
|
|
||||||
|
|
||||||
right_answer = [0.5, 0.25, 0.25]
|
|
||||||
|
|
||||||
for a,b in zip(result, right_answer):
|
|
||||||
self.assertEqual(a,b)
|
|
||||||
|
|
||||||
def testQlinear(self):
|
|
||||||
X = [0.5, 0.25]
|
|
||||||
r = [[0, 0], [1, 0], [1, 1]]
|
|
||||||
q = [1, 0, 0]
|
|
||||||
|
|
||||||
result = baker.qlinear(X, r, q)
|
|
||||||
|
|
||||||
right_answer = 0.5
|
|
||||||
|
|
||||||
self.assertEqual(result, right_answer)
|
|
||||||
|
|
||||||
def testRunBaker(self):
|
|
||||||
X = [0.5, 0.25]
|
|
||||||
|
|
||||||
all_points = [
|
|
||||||
[ 0, 0], # 0
|
|
||||||
[ 1, 0], # 1
|
|
||||||
[ 1, 1], # 2
|
|
||||||
[ 0, 1], # 3
|
|
||||||
[ 1,-1], # 4
|
|
||||||
[ 0,-1], # 5
|
|
||||||
[-1, 1], # 6
|
|
||||||
[-1, 0], # 7
|
|
||||||
[-1,-1], # 8
|
|
||||||
]
|
|
||||||
q = [1, 0, 0, 0, 0, 0, 0, 0, 0]
|
|
||||||
|
|
||||||
tree = scipy.spatial.KDTree(all_points)
|
|
||||||
baker.run_baker(X,
|
|
||||||
result = 3
|
|
||||||
right_answer = 5
|
|
||||||
|
|
||||||
self.assertEqual(result, right_answer)
|
|
||||||
|
|
||||||
if __name__ == '__main__':
|
|
||||||
suite = unittest.TestLoader().loadTestsFromTestCase(TestSequenceFunctions)
|
|
||||||
unittest.TextTestRunner(verbosity=2).run(suite)
|
|
Loading…
Reference in New Issue
Block a user