Fix bug in test__norm_input_labels_index (#43)

* Fix test__norm_input_labels_index

The `ind_n` array is expected to be a 0-D array, but this check assumed
it was a 1-D singleton array, which is incorrect. Later versions of Dask
fixed `assert_eq` to better ensure that 0-D scalar arrays were not
compared equal to 1-D singleton arrays. So this fixes the test to behave
correctly.

* Test shapes in test__norm_input_labels_index

Make sure to explicitly test shapes of the normalized arrays in
`test__norm_input_labels_index`. Older versions of Dask would treat 1-D
scalar arrays as equivalent to 0-D arrays. So this check is important to
ensure that we are actually verifying `shape` and `ndim` are as
expected.

* Note test fix in history

HISTORY.rst

@@ -2,6 +2,11 @@
 History
 =======
 
+0.1.1 (2018-08-31)
+------------------
+
+* Fix a bug in an ndmeasure test of an internal function.
+
 0.1.0 (2018-08-31)
 ------------------
 

tests/test_dask_image/test_ndmeasure/test__utils.py

@@ -52,9 +52,13 @@ def test__norm_input_labels_index():
     assert isinstance(d_lbls_n, da.Array)
     assert isinstance(ind_n, da.Array)
 
+    assert d_n.shape == d.shape
+    assert d_lbls_n.shape == d_lbls.shape
+    assert ind_n.shape == ()
+
     dau.assert_eq(d_n, d)
     dau.assert_eq(d_lbls_n, d_lbls)
-    dau.assert_eq(ind_n, np.array([1], dtype=int))
+    dau.assert_eq(ind_n, np.array(1, dtype=int))
 
 
 @pytest.mark.parametrize(