def test_block_average_above(self):
N = 3000
x = arange(N, dtype=np.float)
y = arange(N, dtype=np.float)
new_x = arange(N // 2) * 2
new_y = block_average_above(x, y, new_x)
self.assertAllclose(new_y[:5], [0.0, 0.5, 2.5, 4.5, 6.5])
def test_block_average_above(self):
N = 3000
x = arange(N, dtype=float)
y = arange(N, dtype=float)
new_x = arange(N // 2) * 2
new_y = block_average_above(x, y, new_x)
self.assertAllclose(new_y[:5], [0.0, 0.5, 2.5, 4.5, 6.5])
def test_block_average_above(self):
N = 3000
x = arange(N, dtype=float)
y = arange(N, dtype=float)
new_x = arange(N // 2) * 2
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
new_y = block_average_above(x, y, new_x)
self.assertAllclose(new_y[:5], [0.0, 0.5, 2.5, 4.5, 6.5])
def test_block_average_above(self):
N = 3000
x = arange(N, dtype=float)
y = arange(N, dtype=float)
new_x = arange(N // 2) * 2
with suppress_warnings() as sup:
sup.filter(DeprecationWarning, "`block_average_above` is deprecated")
new_y = block_average_above(x, y, new_x)
assert_allclose(new_y[:5], [0.0, 0.5, 2.5, 4.5, 6.5])
def test_block_average_above(self):
N = 3000
x = arange(N, dtype=float)
y = arange(N, dtype=float)
new_x = arange(N // 2) * 2
with suppress_warnings() as sup:
sup.filter(DeprecationWarning, "`block_average_above` is deprecated")
new_y = block_average_above(x, y, new_x)
assert_allclose(new_y[:5], [0.0, 0.5, 2.5, 4.5, 6.5])
def test_block_average_above(self):
N = 3000
x = arange(N, dtype=float)
y = arange(N, dtype=float)
new_x = arange(N // 2) * 2
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
new_y = block_average_above(x, y, new_x)
self.assertAllclose(new_y[:5], [0.0, 0.5, 2.5, 4.5, 6.5])
def test_block_average_above(self):
N = 3000.
x = arange(N)
y = arange(N)
new_x = arange(N/2)*2
t1 = time.clock()
new_y = block_average_above(x, y, new_x)
t2 = time.clock()
#print "time for block_avg_above interpolation with N = %i:" % N, t2 - t1
self.assertAllclose(new_y[:5], [0.0, 0.5, 2.5, 4.5, 6.5])
def test_block_average_above(self):
N = 3000.
x = arange(N)
y = arange(N)
new_x = arange(N / 2) * 2
t1 = time.clock()
new_y = block_average_above(x, y, new_x)
t2 = time.clock()
#print "time for block_avg_above interpolation with N = %i:" % N, t2 - t1
self.assertAllclose(new_y[:5], [0.0, 0.5, 2.5, 4.5, 6.5])
