def tester(n, m):
N = global_N
test_data = tv.sin_cos_prod(N, n, m)
from upsample import upsample
test_data = upsample(test_data, factor=4)
dd = field_trace.Derivator(test_data)
nulls = field_trace.find_null_cells_minimize(dd)
null_locs = [(null.x0, null.y0) for null in nulls]
saddles = [_ for _ in nulls if _.is_saddle()]
maxs = [_ for _ in nulls if _.is_maximum()]
mins = [_ for _ in nulls if _.is_minimum()]
eq_(len(saddles + maxs + mins), len(nulls))
print ("4*n*m: %d num_saddles: %d num_max+num_min: %d" %
(4*n*m, len(saddles), len(maxs+mins)))
if 1:
import pylab as pl
pl.ion()
pl.imshow(test_data)
X = [_.x0 for _ in saddles]
Y = [_.y0 for _ in saddles]
pl.scatter(Y, X, marker='x', c='k')
X = [_.x0 for _ in maxs]
Y = [_.y0 for _ in maxs]
pl.scatter(Y, X, c='r', marker='d')
X = [_.x0 for _ in mins]
Y = [_.y0 for _ in mins]
pl.scatter(Y, X, c='b', marker='o')
raw_input("enter to continue")
pl.close('all')
def tester(n, m):
N = global_N
test_data = tv.sin_cos_prod(N, n, m)
# from upsample import upsample
# test_data = upsample(test_data, factor=4)
dd = field_trace.Derivator(test_data)
arr1 = np.zeros((N, N), dtype=np.double)
arr2 = np.zeros((N, N), dtype=np.double)
for i in range(N):
for j in range(N):
evals, evecs = field_trace.hessian_esys(dd, i, j)
arr1[i,j] = min(evals)
arr2[i,j] = max(evals)
nulls = field_trace.find_null_cells_minimize(dd)
null_locs = [(null.x0, null.y0) for null in nulls]
saddles = [_ for _ in nulls if _.is_saddle()]
maxs = [_ for _ in nulls if _.is_maximum()]
mins = [_ for _ in nulls if _.is_minimum()]
saddleXs, saddleYs = [_.x0 for _ in saddles], [_.y0 for _ in saddles]
minXs, minYs = [_.x0 for _ in mins], [_.y0 for _ in mins]
maxXs, maxYs = [_.x0 for _ in maxs], [_.y0 for _ in maxs]
if 0:
def ims(x):
pl.imshow(x, interpolation='nearest', cmap='hot')
pl.scatter(saddleYs, saddleXs, marker='x', c='k')
pl.scatter(minYs, minXs, marker='o', c='b')
pl.scatter(maxYs, maxXs, marker='d', c='r')
import pylab as pl
pl.ion()
# ims(dd.deriv11)
# pl.figure()
# ims(dd.deriv22)
# pl.figure()
# ims(dd.deriv12)
# pl.figure()
ims(test_data)
pl.figure()
ims(arr1)
pl.figure()
ims(arr2)
pl.figure()
ims(arr1*arr2)
raw_input("enter to continue")
pl.close('all')
def tester(n, m):
N = global_N
test_data = tv.sin_cos_arr(N, n, m)
from upsample import upsample
test_data = upsample(test_data, factor=4)
dd = field_trace.Derivator(test_data)
nulls = field_trace.find_null_cells_minimize(dd)
cell_locs = [null.loc for null in nulls]
null_locs = [(null.x0, null.y0) for null in nulls]
print 4*n*m, len(nulls)
if 0:
X, Y = zip(*null_locs)
import pylab as pl
pl.ion()
pl.imshow(test_data)
pl.scatter(Y, X)
X, Y = zip(*cell_locs)
pl.scatter(Y, X, c='r')
raw_input("enter to continue")
pl.close('all')
