v0.10.0.md

@@ -38,11 +38,11 @@ f = read(PATH)
 f.write(file_format="csv", filename="example_output.csv", outdir="./")
 g = read("./example_output.csv")
 assert sorted(f.parameters) == sorted(g.parameters)
-np.testing.assert_almost_equal(f.samples, g.samples)
+np.testing.assert_almost_equal(np.array(f.samples), np.array(g.samples))
 
 numpy = np.genfromtxt("./example_output.csv", delimiter=",", names=True)
 assert sorted(f.parameters) == sorted(list(numpy.dtype.names))
-np.testing.assert_almost_equal(f.samples, np.array([list(i) for i in numpy]))
+np.testing.assert_almost_equal(np.array(f.samples), np.array([list(i) for i in numpy]))
 ```
 
 We ran this with `PATH` indicating the path to a `LALInference hdf5` file and a `bilby json` file and worked as expected.
@@ -95,7 +95,7 @@ for event in ["GW190412", "GW190521"]:
     f = fetch_open_data(event, unpack=True, read_file=True, path=f"{event}.h5")
     g = read(f"{event}/{event}.h5")
     assert sorted(f.labels) == sorted(g.labels)
-    np.testing.assert_almost_equal(f.samples, g.samples)
+    np.testing.assert_almost_equal(np.array(f.samples), np.array(g.samples))
 ```
 
 with output: