add test

xbatcher/tests/test_generators.py

@@ -26,6 +26,40 @@ def test_batch_1d(sample_ds_1d, bsize):
         ds_batch_expected = sample_ds_1d.isel(x=expected_slice)
         assert ds_batch.equals(ds_batch_expected)
 
+@pytest.mark.parametrize("bsize", [5, 10])
+def test_batch_1d_concat(sample_ds_1d, bsize):
+    bg = BatchGenerator(sample_ds_1d, input_dims={'x': bsize},
+                        concat_input_dims=True)
+    for n, ds_batch in enumerate(bg):
+        assert isinstance(ds_batch, xr.Dataset)
+        assert ds_batch.dims['x_input'] == bsize
+        assert ds_batch.dims['input_batch'] == sample_ds_1d.dims['x']//bsize
+        assert 'x' in ds_batch.coords
+
+@pytest.mark.parametrize("bsize", [5, 10])
+def test_batch_1d_no_coordinate(sample_ds_1d, bsize):
+    # fix for #3
+    ds_dropped = sample_ds_1d.drop('x')
+    bg = BatchGenerator(ds_dropped, input_dims={'x': bsize})
+    for n, ds_batch in enumerate(bg):
+        assert isinstance(ds_batch, xr.Dataset)
+        assert ds_batch.dims['x'] == bsize
+        expected_slice = slice(bsize*n, bsize*(n+1))
+        ds_batch_expected = ds_dropped.isel(x=expected_slice)
+        assert ds_batch.equals(ds_batch_expected)
+
+@pytest.mark.parametrize("bsize", [5, 10])
+def test_batch_1d_concat_no_coordinate(sample_ds_1d, bsize):
+    # fix for #3
+    ds_dropped = sample_ds_1d.drop('x')
+    bg = BatchGenerator(ds_dropped, input_dims={'x': bsize},
+                        concat_input_dims=True)
+    for n, ds_batch in enumerate(bg):
+        assert isinstance(ds_batch, xr.Dataset)
+        assert ds_batch.dims['x_input'] == bsize
+        assert ds_batch.dims['input_batch'] == sample_ds_1d.dims['x']//bsize
+        assert 'x' not in ds_batch.coords
+
 
 @pytest.mark.parametrize("olap", [1, 4])
 def test_batch_1d_overlap(sample_ds_1d, olap):