something about the changes I made (abs -> np.abs) made my stuff succeed more often
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@ -71,12 +71,12 @@ def exact_func_3D(X):
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def improved_answer(answer, exact, verbose=False):
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if not answer['error']:
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return True
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smblog.debug('exact: %s' % exact)
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smblog.debug('qlin: %s' % answer['qlin'])
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smblog.debug('error: %s' % answer['error'])
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smblog.debug('qlin: %s' % answer['qlin'])
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smblog.debug('final: %s' % answer['final'])
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smblog.debug('exact: %s' % exact)
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if abs(answer['final'] - exact) <= abs(answer['qlin'] - exact):
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if np.abs(answer['final'] - exact) <= np.abs(answer['qlin'] - exact):
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smblog.debug(":) improved result")
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return True
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else:
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@ -66,14 +66,14 @@ class random_grid(rect_grid):
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smblog.debug("appx_side_res: %d" % appx_side_res)
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delta = 1.0 / float(appx_side_res)
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for x in xrange(appx_side_res):
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for x in xrange(appx_side_res + 1):
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cur_x = x * delta
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for cur_y in (0, 1):
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new_point = [cur_x, cur_y]
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points.append(new_point)
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q.append(exact_func(new_point))
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for y in xrange(appx_side_res):
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for y in xrange(appx_side_res + 1):
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cur_y = y * delta
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for cur_x in (0, 1):
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new_point = [cur_x, cur_y]
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@ -1,6 +1,7 @@
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import sys
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import re
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from collections import defaultdict
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import inspect
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import numpy as np
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import scipy.spatial
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@ -44,13 +45,18 @@ class grid(object):
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self.facets_for_point = defaultdict(list)
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def create_mesh(self, indicies):
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"""
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this function takes a list of indicies, and then creates
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and returns a grid object (collection of points and q).
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note: the input is indicies, the grid contains points
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"""
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p = [self.points[i] for i in indicies]
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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_containing_simplex(self, X):
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if not self.faces:
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smblog.debug('setting up connectivity')
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self.construct_connectivity()
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# get closest point
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@ -67,16 +73,21 @@ class grid(object):
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facets_to_check = self.facets_for_point[closest_point]
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attempts = 0
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while not simplex:
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while not simplex and facets_to_check:
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attempts += 1
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# if attempts > 20:
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# raise smberror("probably recursing to many times")
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cur_facet = facets_to_check.pop()
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cur_facet = facets_to_check.pop(0)
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checked_facets.append(cur_facet)
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facets_to_check.extend([i for i in cur_facet.neighbors if i not in checked_facets])
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if cur_facet.contains(X, self):
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simplex = cur_facet
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continue
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new_facest = []
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for neighbor in cur_facet.neighbors:
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if (neighbor not in checked_facets) and (neighbor not in facets_to_check):
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facets_to_check.append(neighbor)
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if not simplex:
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raise AssertionError('no containing simplex found')
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@ -96,12 +107,31 @@ class grid(object):
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S is S_j from baker's paper : some points from all point that are not the simplex
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"""
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smblog.debug(inspect.stack()[1][3])
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smblog.debug("extra points: %d" % extra_points)
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smblog.debug("simplex size: %d" % simplex_size)
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r_mesh = self.get_containing_simplex(X)
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# smblog.debug("R:\n%s" % r_mesh)
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# and some UNIQUE extra points
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(dist, indicies) = self.tree.query(X, simplex_size + extra_points)
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# r_mesh = self.create_mesh(indicies[:simplex_size])
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r_mesh = self.get_containing_simplex(X)
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# and some extra points
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s_mesh = self.create_mesh(indicies[simplex_size:])
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unique_indicies = []
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for index in indicies:
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if self.points[index] not in r_mesh.points:
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unique_indicies.append(index)
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smblog.debug("indicies: %s" % ",".join([str(i) for i in indicies]))
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smblog.debug("indicies: %s" % ",".join([str(i) for i in unique_indicies]))
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s_mesh = self.create_mesh(unique_indicies)# indicies[simplex_size:])
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# TODO: eventually remove this test:
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for point in s_mesh.points:
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if point in r_mesh.points:
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smblog.error("ERROR")
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smblog.error("\n%s\nin\n%s" % (point, r_mesh))
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raise smberror("repeating point S and R")
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return (r_mesh, s_mesh)
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@ -136,8 +166,8 @@ class grid(object):
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if not simplex:
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raise AssertionError('no containing simplex found')
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R = self.get_containing_simplex(X)# self.create_mesh(simplex.verts)
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# self.create_mesh(simplex.verts)
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R = self.get_containing_simplex(X)
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s = []
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for c,i in enumerate(simplex.neighbors):
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@ -169,7 +199,7 @@ class grid(object):
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this is part of the __init__ for a rect_grid, but can be called from any grid object
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"""
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smblog.debug()
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smblog.debug('start')
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qdelaunay_string = get_qdelaunay_dump_str(self)
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facet_to_facets = []
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for matcher in grid.facet_re.finditer(qdelaunay_string):
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@ -194,13 +224,8 @@ class grid(object):
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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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smblog.debug('end')
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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 __str__(self):
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r = ''
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2
setup.py
2
setup.py
@ -12,4 +12,6 @@ setup(
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'numpy',
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'scipy',
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],
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entry_points = {'console_scripts': ['booze = baker.booze:main',]},
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)
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14
tools/mpl_plot.py
Normal file
14
tools/mpl_plot.py
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@ -0,0 +1,14 @@
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#!/usr/bin/env python
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good = [82, 164, 247, 328, 411, 491, 565, 649, 729, 808]
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bad = [18, 36, 53, 72, 89, 109, 135, 151, 171, 192]
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import pylab
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pylab.xlabel('total runs')
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pylab.ylabel('count')
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pylab.grid(True)
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pylab.plot(bad)
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pylab.plot(good)
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pylab.legend(('bad', 'good'))
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pylab.show()
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