Loading autocnet/graph/tests/test_network_graph.py +6 −8 Original line number Diff line number Diff line Loading @@ -12,12 +12,12 @@ from unittest.mock import patch, PropertyMock, MagicMock def cnet(): return pd.DataFrame.from_dict({ 'id' : [1], 'pointtype' : 2, 'pointType' : 2, 'serialnumber' : ['BRUH'], 'jigsawRejected' : [False], 'measureJigsawRejected': [False], 'sampleResidual' : [0.1], 'pointingore' : [False], 'pointjigsawRejected': [False], 'pointIngore' : [False], 'pointJigsawRejected': [False], 'lineResidual' : [0.1], 'linesigma' : [0], 'samplesigma': [0], Loading @@ -26,14 +26,14 @@ def cnet(): 'aprioriline' : [0], 'line' : [1], 'sample' : [2], 'ignore': [False], 'measureIgnore': [False], 'adjustedX' : [0], 'adjustedY' : [0], 'adjustedZ' : [0], 'aprioriX' : [0], 'aprioriY' : [0], 'aprioriZ' : [0], 'measuretype' : [1] 'measureType' : [1] }) def test_creation(): Loading @@ -50,5 +50,3 @@ def test_place_points_from_cnet(session, cnet, image_data, expected_npoints): resp = session.query(model.Points) assert len(resp.all()) == expected_npoints assert len(resp.all()) == cnet.shape[0] Loading
autocnet/graph/tests/test_network_graph.py +6 −8 Original line number Diff line number Diff line Loading @@ -12,12 +12,12 @@ from unittest.mock import patch, PropertyMock, MagicMock def cnet(): return pd.DataFrame.from_dict({ 'id' : [1], 'pointtype' : 2, 'pointType' : 2, 'serialnumber' : ['BRUH'], 'jigsawRejected' : [False], 'measureJigsawRejected': [False], 'sampleResidual' : [0.1], 'pointingore' : [False], 'pointjigsawRejected': [False], 'pointIngore' : [False], 'pointJigsawRejected': [False], 'lineResidual' : [0.1], 'linesigma' : [0], 'samplesigma': [0], Loading @@ -26,14 +26,14 @@ def cnet(): 'aprioriline' : [0], 'line' : [1], 'sample' : [2], 'ignore': [False], 'measureIgnore': [False], 'adjustedX' : [0], 'adjustedY' : [0], 'adjustedZ' : [0], 'aprioriX' : [0], 'aprioriY' : [0], 'aprioriZ' : [0], 'measuretype' : [1] 'measureType' : [1] }) def test_creation(): Loading @@ -50,5 +50,3 @@ def test_place_points_from_cnet(session, cnet, image_data, expected_npoints): resp = session.query(model.Points) assert len(resp.all()) == expected_npoints assert len(resp.all()) == cnet.shape[0]