fixup! Remove legacy ImageCollection from DataCube class hierarchy (#…

…100/#278 related)

tests/rest/datacube/test_datacube.py

@@ -192,13 +192,13 @@ def test_filter_bands_index(s2cube, api_version):
     assert im.flat_graph() == expected
 
 
-def test_pipe(con040, api_version):
+def test_pipe(con040):
     def ndvi_percent(cube):
         return cube.ndvi().linear_scale_range(0, 1, 0, 100)
 
     s2cube = con040.load_collection("S2")
     im = s2cube.pipe(ndvi_percent)
-    assert im.flat_graph() == load_json_resource('data/{v}/pipe.json'.format(v=api_version))
+    assert im.flat_graph() == load_json_resource('data/0.4.0/pipe.json')
 
 
 def test_filter_bbox_minimal(s2cube):

tests/rest/datacube/test_datacube100.py

@@ -1424,25 +1424,6 @@ def validation(request, context):
     assert m.call_count == 1
 
 
-def test_pipe_with_args(con100):
-    def ndvi_scaled(cube, in_max=2, out_max=3):
-        return cube.ndvi().linear_scale_range(0, in_max, 0, out_max)
-
-    s2cube = con100.load_collection("S2")
-    im = s2cube.pipe(ndvi_scaled)
-    assert im.flat_graph()["apply1"]["arguments"]["process"]["process_graph"]["linearscalerange1"]["arguments"] == {
-        'inputMax': 2, 'inputMin': 0, 'outputMax': 3, 'outputMin': 0, 'x': {'from_parameter': 'x'}
-    }
-    im = s2cube.pipe(ndvi_scaled, 4, 5)
-    assert im.flat_graph()["apply1"]["arguments"]["process"]["process_graph"]["linearscalerange1"]["arguments"] == {
-        'inputMax': 4, 'inputMin': 0, 'outputMax': 5, 'outputMin': 0, 'x': {'from_parameter': 'x'}
-    }
-    im = s2cube.pipe(ndvi_scaled, out_max=7)
-    assert im.flat_graph()["apply1"]["arguments"]["process"]["process_graph"]["linearscalerange1"]["arguments"] == {
-        'inputMax': 2, 'inputMin': 0, 'outputMax': 7, 'outputMin': 0, 'x': {'from_parameter': 'x'}
-    }
-
-
 def test_flatten_dimensions(con100):
     s2 = con100.load_collection("S2")
     cube = s2.flatten_dimensions(dimensions=["t", "bands"], target_dimension="features")