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removed old DD and DDD modules

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This commit is contained in:
Stephen M. McQuay 2011-09-21 12:33:33 -06:00
parent 729dac0e90
commit 0ae558f660
2 changed files with 0 additions and 128 deletions
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55
interp/grid/DD.py
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from itertools import product
import numpy as np
from interp.grid.delaunay import dgrid as basegrid
class rect_grid(basegrid):
def __init__(self, xres = 5, yres = 5):
xmin = 0.0
xmax = 1.0
xspan = xmax - xmin
xdel = xspan / float(xres - 1)
ymin = 0.0
ymay = 1.0
yspan = ymay - ymin
ydel = yspan / float(yres - 1)
verts = []
q = np.zeros( xres * yres )
for x in xrange(xres):
cur_x = xmin + (x * xdel)
for y in xrange(yres):
cur_y = ymin + (y * ydel)
verts.append([cur_x, cur_y])
basegrid.__init__(self, verts, q)
class random_grid(rect_grid):
def __init__(self, num_verts = 10):
appx_side_res = int(np.sqrt(num_verts))
delta = 1.0 / float(appx_side_res)
# load up corners:
verts = [i for i in product((0,1), repeat = 2)]
for x in xrange(1,appx_side_res):
cur_x = x * delta
for cur_y in (0, 1):
new_point = [cur_x, cur_y]
verts.append(new_point)
for y in xrange(1,appx_side_res):
cur_y = y * delta
for cur_x in (0, 1):
new_point = [cur_x, cur_y]
verts.append(new_point)
verts.extend(np.random.random((num_verts - 4*appx_side_res, 2)))
q = np.zeros(len(verts))
basegrid.__init__(self, np.array(verts), q)

73
interp/grid/DDD.py
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from itertools import product
import numpy as np
from interp.grid.delaunay import dgrid as basegrid
class rect_grid(basegrid):
def __init__(self, xres = 5, yres = 5, zres = 5):
xmin = 0.0
xmax = 1.0
xspan = xmax - xmin
xdel = xspan / float(xres - 1)
ymin = 0.0
ymay = 1.0
yspan = ymay - ymin
ydel = yspan / float(yres - 1)
zmin = 0.0
zmaz = 1.0
zspan = zmaz - zmin
zdel = zspan / float(zres - 1)
verts = []
q = np.zeros(xres * yres * zres)
for x in xrange(xres):
cur_x = xmin + (x * xdel)
for y in xrange(yres):
cur_y = ymin + (y * ydel)
for z in xrange(zres):
cur_z = zmin + (z * zdel)
verts.append([cur_x, cur_y, cur_z])
basegrid.__init__(self, verts, q)
class random_grid(rect_grid):
def __init__(self, num_verts = 100):
verts = []
appx_side_res = int(np.power(num_verts, 1/3.0))
delta = 1.0 / float(appx_side_res)
# populate all corners
verts = [i for i in product((0,1), repeat = 3)]
# populate the edges (bottom and top squares)
for z in (0,1):
for x in xrange(1, appx_side_res):
cur_x = x * delta
for cur_y in (0, 1):
new_point = [cur_x, cur_y, z]
verts.append(new_point)
for y in xrange(1, appx_side_res):
cur_y = y * delta
for cur_x in (0, 1):
new_point = [cur_x, cur_y, z]
verts.append(new_point)
# populate side edges
for x in (0,1):
for y in (0,1):
for z in xrange(1, appx_side_res):
cur_z = z * delta
verts.append((x,y,cur_z))
verts.extend(np.random.random((num_verts - 12 * appx_side_res, 3)))
q = np.zeros(len(verts))
basegrid.__init__(self, np.array(verts), q)