def test_series():
im1 = imageio.imread("imageio:chelsea.png")
ims1 = [im1, im1 * 0.8, im1 * 0.5]
fname = os.path.join(test_dir, "chelseam.bsdf")
imageio.mimsave(fname, ims1)
# Does it look alright if we open it in bsdf without extensions?
raw = bsdf.load(fname, [])
assert isinstance(raw, list) and len(raw) == 3
for r in raw:
assert set(r.keys()) == set(["meta", "array"])
assert isinstance(r["meta"], dict)
assert isinstance(r["array"], dict)
assert r["array"]["shape"] == list(im1.shape)
assert isinstance(r["array"]["data"], bytes)
# Read multi-image as singleton
im2 = imageio.imread(fname)
assert np.all(im1 == im2)
# Read multi-image as series
ims2 = imageio.mimread(fname)
assert len(ims2) == 3 and all(np.all(ims1[i] == ims2[i]) for i in range(3))
# Read + write back without image extensions
bsdf.save(fname, bsdf.load(fname))
ims3 = imageio.mimread(fname)
assert len(ims3) == 3 and all(np.all(ims1[i] == ims3[i]) for i in range(3))
def test_singleton():
im1 = imageio.imread("imageio:chelsea.png")
fname = os.path.join(test_dir, "chelsea.bsdf")
imageio.imsave(fname, im1)
# Does it look alright if we open it in bsdf without extensions?
raw = bsdf.load(fname, [])
assert isinstance(raw, dict)
assert set(raw.keys()) == set(["meta", "array"])
assert isinstance(raw["meta"], dict)
assert isinstance(raw["array"], dict)
assert raw["array"]["shape"] == list(im1.shape)
assert isinstance(raw["array"]["data"], bytes)
# Read singleton image as singleton
im2 = imageio.imread(fname)
assert np.all(im1 == im2)
# Read singleton image as series
ims = imageio.mimread(fname)
assert len(ims) == 1 and np.all(im1 == ims[0])
# Read + write back without image extensions
bsdf.save(fname, bsdf.load(fname))
im3 = imageio.mimread(fname)
assert np.all(im1 == im3)
def test_series():
im1 = imageio.imread("imageio:chelsea.png")
ims1 = [im1, im1 * 0.8, im1 * 0.5]
fname = os.path.join(test_dir, "chelseam.bsdf")
imageio.mimsave(fname, ims1)
# Does it look alright if we open it in bsdf without extensions?
raw = bsdf.load(fname, [])
assert isinstance(raw, list) and len(raw) == 3
for r in raw:
assert set(r.keys()) == set(["meta", "array"])
assert isinstance(r["meta"], dict)
assert isinstance(r["array"], dict)
assert r["array"]["shape"] == list(im1.shape)
assert isinstance(r["array"]["data"], bytes)
# Read multi-image as singleton
im2 = imageio.imread(fname)
assert np.all(im1 == im2)
# Read multi-image as series
ims2 = imageio.mimread(fname)
assert len(ims2) == 3 and all(np.all(ims1[i] == ims2[i]) for i in range(3))
# Read + write back without image extensions
bsdf.save(fname, bsdf.load(fname))
ims3 = imageio.mimread(fname)
assert len(ims3) == 3 and all(np.all(ims1[i] == ims3[i]) for i in range(3))
def test_singleton():
im1 = imageio.imread("imageio:chelsea.png")
fname = os.path.join(test_dir, "chelsea.bsdf")
imageio.imsave(fname, im1)
# Does it look alright if we open it in bsdf without extensions?
raw = bsdf.load(fname, [])
assert isinstance(raw, dict)
assert set(raw.keys()) == set(["meta", "array"])
assert isinstance(raw["meta"], dict)
assert isinstance(raw["array"], dict)
assert raw["array"]["shape"] == list(im1.shape)
assert isinstance(raw["array"]["data"], bytes)
# Read singleton image as singleton
im2 = imageio.imread(fname)
assert np.all(im1 == im2)
# Read singleton image as series
ims = imageio.mimread(fname)
assert len(ims) == 1 and np.all(im1 == ims[0])
# Read + write back without image extensions
bsdf.save(fname, bsdf.load(fname))
im3 = imageio.mimread(fname)
assert np.all(im1 == im3)
def test_not_an_image():
fname = os.path.join(test_dir, "notanimage.bsdf")
# Not an image not a list
bsdf.save(fname, 1)
with raises(RuntimeError):
imageio.imread(fname)
# A list with non-images
bsdf.save(fname, [1])
with raises(RuntimeError):
imageio.imread(fname)
# An empty list could work though
bsdf.save(fname, [])
with raises(IndexError):
imageio.imread(fname)
assert imageio.mimread(fname) == []
def test_not_an_image():
fname = os.path.join(test_dir, "notanimage.bsdf")
# Not an image not a list
bsdf.save(fname, 1)
with raises(RuntimeError):
imageio.imread(fname)
# A list with non-images
bsdf.save(fname, [1])
with raises(RuntimeError):
imageio.imread(fname)
# An empty list could work though
bsdf.save(fname, [])
with raises(IndexError):
imageio.imread(fname)
assert imageio.mimread(fname) == []