Added basic unit tests of non-integrated functions

tests/test_extension_scan.py

@@ -0,0 +1,59 @@
+from pprint import pprint
+
+from openflexure_microscope.api.default_extensions import scan
+
+
+def test_construct_grid_raster():
+    grid = scan.construct_grid((0, 0), (100, 100), (3, 3), style="raster")
+    assert grid == [
+        [(0, 0), (0, 100), (0, 200)],
+        [(100, 0), (100, 100), (100, 200)],
+        [(200, 0), (200, 100), (200, 200)],
+    ]
+
+
+def test_construct_grid_snake():
+    grid = scan.construct_grid((0, 0), (100, 100), (3, 3), style="snake")
+    assert grid == [
+        [(0, 0), (0, 100), (0, 200)],
+        [(100, 200), (100, 100), (100, 0)],
+        [(200, 0), (200, 100), (200, 200)],
+    ]
+
+
+def test_construct_grid_spiral():
+    grid = scan.construct_grid((0, 0), (100, 100), (3, 0), style="spiral")
+    assert grid == [
+        [(0, 0)],
+        [
+            (0, 100),
+            (100, 100),
+            (100, 0),
+            (100, -100),
+            (0, -100),
+            (-100, -100),
+            (-100, 0),
+            (-100, 100),
+        ],
+        [
+            (-100, 200),
+            (0, 200),
+            (100, 200),
+            (200, 200),
+            (200, 100),
+            (200, 0),
+            (200, -100),
+            (200, -200),
+            (100, -200),
+            (0, -200),
+            (-100, -200),
+            (-200, -200),
+            (-200, -100),
+            (-200, 0),
+            (-200, 100),
+            (-200, 200),
+        ],
+    ]
+
+    # Ensure second n_steps value makes no difference
+    assert grid == scan.construct_grid((0, 0), (100, 100), (3, 3), style="spiral")

tests/test_utilities.py

@@ -0,0 +1,31 @@
+import numpy as np
+
+from openflexure_microscope import utilities
+
+
+def test_serialise_array_b64():
+    shape_in = (3, 2)
+    arr_in = np.random.randint(100, size=shape_in, dtype=np.int)
+
+    b64_string, dtype, shape = utilities.serialise_array_b64(arr_in)
+    assert b64_string
+    assert dtype == "int32"
+    assert shape == shape_in
+
+    arr_out = utilities.deserialise_array_b64(b64_string, dtype, shape)
+    assert np.array_equal(arr_out, arr_in)
+
+
+def test_ndarray_to_json():
+    shape_in = (3, 2)
+    arr_in = np.random.randint(100, size=shape_in, dtype=np.int)
+
+    json_out = utilities.ndarray_to_json(arr_in)
+
+    arr_out = utilities.json_to_ndarray(json_out)
+    assert np.array_equal(arr_out, arr_in)
+
+
+def test_axes_to_array():
+    dict_in = {"x": 1, "y": 2, "z": 3}
+    assert utilities.axes_to_array(dict_in) == [1, 2, 3]