def test_rescaleData():
dtypes = map(np.dtype, ('ubyte', 'uint16', 'byte', 'int16', 'int', 'float'))
for dtype1 in dtypes:
for dtype2 in dtypes:
data = (np.random.random(size=10) * 2**32 - 2**31).astype(dtype1)
for scale, offset in [(10, 0), (10., 0.), (1, -50), (0.2, 0.5), (0.001, 0)]:
if dtype2.kind in 'iu':
lim = np.iinfo(dtype2)
lim = lim.min, lim.max
else:
lim = (-np.inf, np.inf)
s1 = np.clip(float(scale) * (data-float(offset)), *lim).astype(dtype2)
s2 = pg.rescaleData(data, scale, offset, dtype2)
assert s1.dtype == s2.dtype
if dtype2.kind in 'iu':
assert np.all(s1 == s2)
else:
assert np.allclose(s1, s2)
def test_rescaleData():
dtypes = map(np.dtype, ('ubyte', 'uint16', 'byte', 'int16', 'int', 'float'))
for dtype1 in dtypes:
for dtype2 in dtypes:
data = (np.random.random(size=10) * 2**32 - 2**31).astype(dtype1)
for scale, offset in [(10, 0), (10., 0.), (1, -50), (0.2, 0.5), (0.001, 0)]:
if dtype2.kind in 'iu':
lim = np.iinfo(dtype2)
lim = lim.min, lim.max
else:
lim = (-np.inf, np.inf)
s1 = np.clip(float(scale) * (data-float(offset)), *lim).astype(dtype2)
s2 = pg.rescaleData(data, scale, offset, dtype2)
assert s1.dtype == s2.dtype
if dtype2.kind in 'iu':
assert np.all(s1 == s2)
else:
assert np.allclose(s1, s2)
