- remove all readers but bioformats

- open folder with sequence

tests/test_slicing.py

@@ -1,20 +1,32 @@
+import tempfile
 from itertools import combinations_with_replacement
 from numbers import Number
+from pathlib import Path
 
 import numpy as np
 import pytest
+from tiffwrite import tiffwrite
 
 from ndbioimage import Imread
 
-r = np.random.randint(0, 255, (64, 64, 2, 3, 4))
-im = Imread(r)
-a = np.array(im)
+
+@pytest.fixture
+def array():
+    return np.random.randint(0, 255, (64, 64, 2, 3, 4), 'uint8')
+
+@pytest.fixture()
+def image(array):
+    with tempfile.TemporaryDirectory() as folder:
+        file = Path(folder) / "test.tif"
+        tiffwrite(file, array, 'yxczt')
+        with Imread(file, axes='yxczt') as im:
+            yield im
 
 
 @pytest.mark.parametrize('s', combinations_with_replacement(
     (0, -1, 1, slice(None), slice(0, 1), slice(-1, 0), slice(1, 1)), 5))
-def test_slicing(s):
-    s_im, s_a = im[s], a[s]
+def test_slicing(s, image, array):
+    s_im, s_a = image[s], array[s]
     if isinstance(s_a, Number):
         assert isinstance(s_im, Number)
         assert s_im == s_a