def test_exception(self):
n = 4
class MyException(Exception):
pass
exc_container = [None]
trace = []
def level3(k):
trace.append('(3)')
if k == 1:
e = exc_container[0] = MyException()
raise e
return 3 * k
def level2(k):
trace.append('<2')
try:
omega = convolve.init_convolution_kernel(n,
level3,
d=1,
zero_nyquist=1)
except:
trace.append('2@')
raise
trace.append('2>')
assert_array_almost_equal(omega, [0, 0.75, -0.75, 0.])
return 2 * k
def level1(k):
trace.append('<1')
try:
omega = convolve.init_convolution_kernel(n,
level2,
d=1,
zero_nyquist=1)
except:
trace.append('1@')
raise
trace.append('1>')
return 1
try:
convolve.init_convolution_kernel(n, level1, d=1, zero_nyquist=1)
except MyException, e:
assert_(e is exc_container[0])
_, _, tb = sys.exc_info()
# Check that exception stack contains level1 -> level2 -> level3
lines = traceback.format_tb(tb)
##print ''.join(lines)
curlevel = 1
for line in lines:
if re.match(r'\s*File .*, line \d+, in level%d' % curlevel,
line):
curlevel += 1
assert_equal(curlevel, 4)
def test_exception(self):
n = 4
class MyException(Exception):
pass
exc_container = [None]
trace = []
def level3(k):
trace.append('(3)')
if k == 1:
e = exc_container[0] = MyException()
raise e
return 3 * k
def level2(k):
trace.append('<2')
try:
omega = convolve.init_convolution_kernel(n, level3, d=1, zero_nyquist=1)
except:
trace.append('2@')
raise
trace.append('2>')
assert_array_almost_equal(omega, [ 0, 0.75, -0.75, 0.])
return 2 * k
def level1(k):
trace.append('<1')
try:
omega = convolve.init_convolution_kernel(n, level2, d=1, zero_nyquist=1)
except:
trace.append('1@')
raise
trace.append('1>')
return 1
try:
convolve.init_convolution_kernel(n, level1, d=1, zero_nyquist=1)
except MyException, e:
assert_(e is exc_container[0])
_, _, tb = sys.exc_info()
# Check that exception stack contains level1 -> level2 -> level3
lines = traceback.format_tb(tb)
##print ''.join(lines)
curlevel = 1
for line in lines:
if re.match(r'\s*File .*, line \d+, in level%d' % curlevel, line):
curlevel += 1
assert_equal(curlevel, 4)
def benchmark():
"""
Function that can be called from IPython to do benchmarks
using %timeit with different SciPy implementations.
"""
n = 400
def level2(k):
return 2 * k
def level1(k):
omega = convolve.init_convolution_kernel(n, level2, d=1)
return k
convolve.init_convolution_kernel(n, level1, d=1)
def benchmark():
"""
Function that can be called from IPython to do benchmarks
using %timeit with different SciPy implementations.
"""
n = 400
def level2(k):
return 2 * k
def level1(k):
omega = convolve.init_convolution_kernel(n, level2, d=1)
return k
convolve.init_convolution_kernel(n, level1, d=1)
def test_nested(self):
n = 4
trace = []
def level3(k):
trace.append('(3)')
return 3 * k
def level2(k):
trace.append('<2')
omega = convolve.init_convolution_kernel(n,
level3,
d=1,
zero_nyquist=1)
trace.append('2>')
assert_array_almost_equal(omega, [0, 0.75, -0.75, 0.])
return 2 * k
def level1(k):
trace.append('<1')
omega = convolve.init_convolution_kernel(n,
level2,
d=1,
zero_nyquist=1)
trace.append('1>')
return 1
omega = convolve.init_convolution_kernel(n,
level1,
d=1,
zero_nyquist=1)
assert_equal(
' '.join(trace), '<1 <2 (3) (3) 2> <2 (3) (3) 2> 1> '
'<1 <2 (3) (3) 2> <2 (3) (3) 2> 1>')
assert_array_almost_equal(omega, [0.25, 0.25, -0.25, 0.])
def test_nested(self):
n = 4
trace = []
def level3(k):
trace.append('(3)')
return 3 * k
def level2(k):
trace.append('<2')
omega = convolve.init_convolution_kernel(n, level3, d=1, zero_nyquist=1)
trace.append('2>')
assert_array_almost_equal(omega, [ 0, 0.75, -0.75, 0.])
return 2 * k
def level1(k):
trace.append('<1')
omega = convolve.init_convolution_kernel(n, level2, d=1, zero_nyquist=1)
trace.append('1>')
return 1
omega = convolve.init_convolution_kernel(n, level1, d=1, zero_nyquist=1)
assert_equal(' '.join(trace), '<1 <2 (3) (3) 2> <2 (3) (3) 2> 1> '
'<1 <2 (3) (3) 2> <2 (3) (3) 2> 1>')
assert_array_almost_equal(omega, [ 0.25, 0.25, -0.25, 0. ])
def level1(k):
trace.append('<1')
omega = convolve.init_convolution_kernel(n,
level2,
d=1,
zero_nyquist=1)
trace.append('1>')
return 1
def level2(k):
trace.append('<2')
omega = convolve.init_convolution_kernel(n,
level3,
d=1,
zero_nyquist=1)
trace.append('2>')
assert_array_almost_equal(omega, [0, 0.75, -0.75, 0.])
return 2 * k
def level1(k):
trace.append('<1')
try:
omega = convolve.init_convolution_kernel(n, level2, d=1, zero_nyquist=1)
except:
trace.append('1@')
raise
trace.append('1>')
return 1
def test_extra_args(self):
n = 10
def kernel(k, aux1, aux2):
assert aux1 == 10
assert aux2 == 2
return k
omega = convolve.init_convolution_kernel(n, kernel, d=1, zero_nyquist=1,
kernel_func_extra_args=(10, 2))
assert_array_almost_equal(omega, [ 0., 0.1, -0.1, 0.2, -0.2, 0.3, -0.3, 0.4, -0.4, 0.])
def level2(k):
trace.append('<2')
try:
omega = convolve.init_convolution_kernel(n, level3, d=1, zero_nyquist=1)
except:
trace.append('2@')
raise
trace.append('2>')
assert_array_almost_equal(omega, [ 0, 0.75, -0.75, 0.])
return 2 * k
def level1(k):
trace.append('<1')
try:
omega = convolve.init_convolution_kernel(n,
level2,
d=1,
zero_nyquist=1)
except:
trace.append('1@')
raise
trace.append('1>')
return 1
def test_extra_args(self):
n = 10
def kernel(k, aux1, aux2):
assert aux1 == 10
assert aux2 == 2
return k
omega = convolve.init_convolution_kernel(n,
kernel,
d=1,
zero_nyquist=1,
kernel_func_extra_args=(10,
2))
assert_array_almost_equal(
omega, [0., 0.1, -0.1, 0.2, -0.2, 0.3, -0.3, 0.4, -0.4, 0.])
def level1(k):
omega = convolve.init_convolution_kernel(n, level2, d=1)
return k
def level1(k):
trace.append('<1')
omega = convolve.init_convolution_kernel(n, level2, d=1, zero_nyquist=1)
trace.append('1>')
return 1
def level1(k):
omega = convolve.init_convolution_kernel(n, level2, d=1)
return k
