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import os
import numpy as np
from dtcwt.numpy.lowlevel import colifilt
from pytest import raises
import tests.datasets as datasets
def setup_module():
global mandrill
mandrill = datasets.mandrill()
def test_mandrill_loaded():
assert mandrill.shape == (512, 512)
assert mandrill.min() >= 0
assert mandrill.max() <= 1
assert mandrill.dtype == np.float32
def test_odd_filter():
with raises(ValueError):
colifilt(mandrill, (-1,2,-1), (-1,2,1))
def test_different_size_h():
with raises(ValueError):
colifilt(mandrill, (-1,2,1), (-0.5,-1,2,-1,0.5))
def test_zero_input():
Y = colifilt(np.zeros_like(mandrill), (-1,1), (1,-1))
assert np.all(Y[:0] == 0)
def test_bad_input_size():
with raises(ValueError):
colifilt(mandrill[:511,:], (-1,1), (1,-1))
def test_good_input_size():
colifilt(mandrill[:,:511], (-1,1), (1,-1))
def test_output_size():
Y = colifilt(mandrill, (-1,1), (1,-1))
assert Y.shape == (mandrill.shape[0]*2, mandrill.shape[1])
def test_non_orthogonal_input():
Y = colifilt(mandrill, (1,1), (1,1))
assert Y.shape == (mandrill.shape[0]*2, mandrill.shape[1])
def test_output_size_non_mult_4():
Y = colifilt(mandrill, (-1,0,0,1), (1,0,0,-1))
assert Y.shape == (mandrill.shape[0]*2, mandrill.shape[1])
def test_non_orthogonal_input_non_mult_4():
Y = colifilt(mandrill, (1,0,0,1), (1,0,0,1))
assert Y.shape == (mandrill.shape[0]*2, mandrill.shape[1])
# vim:sw=4:sts=4:et
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