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""" Testing data types for ndimage calls
"""
from __future__ import division, print_function, absolute_import
import sys
import numpy as np
from numpy.testing import assert_array_almost_equal, dec, assert_
from scipy import ndimage
def test_map_coordinates_dts():
# check that ndimage accepts different data types for interpolation
data = np.array([[4, 1, 3, 2],
[7, 6, 8, 5],
[3, 5, 3, 6]])
shifted_data = np.array([[0, 0, 0, 0],
[0, 4, 1, 3],
[0, 7, 6, 8]])
idx = np.indices(data.shape)
dts = (np.uint8, np.uint16, np.uint32, np.uint64,
np.int8, np.int16, np.int32, np.int64,
np.intp, np.uintp, np.float32, np.float64)
for order in range(0, 6):
for data_dt in dts:
these_data = data.astype(data_dt)
for coord_dt in dts:
# affine mapping
mat = np.eye(2, dtype=coord_dt)
off = np.zeros((2,), dtype=coord_dt)
out = ndimage.affine_transform(these_data, mat, off)
assert_array_almost_equal(these_data, out)
# map coordinates
coords_m1 = idx.astype(coord_dt) - 1
coords_p10 = idx.astype(coord_dt) + 10
out = ndimage.map_coordinates(these_data, coords_m1, order=order)
assert_array_almost_equal(out, shifted_data)
# check constant fill works
out = ndimage.map_coordinates(these_data, coords_p10, order=order)
assert_array_almost_equal(out, np.zeros((3,4)))
# check shift and zoom
out = ndimage.shift(these_data, 1)
assert_array_almost_equal(out, shifted_data)
out = ndimage.zoom(these_data, 1)
assert_array_almost_equal(these_data, out)
@dec.knownfailureif(not sys.platform == 'darwin')
def test_uint64_max():
# Test interpolation respects uint64 max. Reported to fail at least on
# win32 (due to the 32 bit visual C compiler using signed int64 when
# converting between uint64 to double) and Debian on s390x.
big = 2**64-1
arr = np.array([big, big, big], dtype=np.uint64)
# Tests geometric transform (map_coordinates, affine_transform)
inds = np.indices(arr.shape) - 0.1
x = ndimage.map_coordinates(arr, inds)
assert_(x[1] > (2**63))
# Tests zoom / shift
x = ndimage.shift(arr, 0.1)
assert_(x[1] > (2**63))
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