remove regression testing from pyhelios output test

pytests/test_pyhelios.py

@@ -336,7 +336,7 @@ def test_detector(test_sim):
     [pytest.param(True, id="setExportToFile(True)"),
      pytest.param(False, id="setExportToFile(False)")]
 )
-def test_output(output_dir, regression_data, export_to_file):
+def test_output(output_dir, export_to_file):
     """Validating the output of a survey started with pyhelios"""
     from pyhelios import SimulationBuilder
     survey_path = Path('data') / 'test' / 'als_hd_demo_tiff_min.xml'
@@ -358,22 +358,18 @@ def test_output(output_dir, regression_data, export_to_file):
 
     sim.start()
     output = sim.join()
-
-    if regression_data:
-        measurements_array, trajectory_array = pyhelios.outputToNumpy(output)
-        time = measurements_array[:, 16]
-        pcloud = pcu.PointCloud(measurements_array[:, :3], fnames=['gps_time'], F=time.reshape(time.shape[0], 1))
-        las = laspy.read(regression_data / 'tiffloader_als_merged.las')
-        pcloud_ref = pcu.PointCloud.from_las(las, fnames=['gps_time'])
-        pcloud.assert_equals(pcloud_ref, eps=0.00011)  # larger tolerance due to las scale factor of 0.0001
+    measurements_array, trajectory_array = pyhelios.outputToNumpy(output)
 
     if export_to_file:
+        # check if output files exist
         dirname = find_playback_dir(survey_path, output_dir)
         assert (Path(dirname) / 'leg000_points.xyz').exists()
         assert (Path(dirname) / 'leg001_points.xyz').exists()
         assert (Path(dirname) / 'leg002_points.xyz').exists()
-
-        if regression_data:
-            pcloud0 = pcu.PointCloud.from_xyz_file(Path(dirname) / 'leg000_points.xyz', cols=(0, 1, 2), names=['x', 'y', 'z'])
-            pcloud_ref0 = pcu.PointCloud.from_las_file(regression_data / 'tiffloader_als_leg000_points.las')
-            pcloud0.assert_equals(pcloud_ref0, eps=0.00011)  # larger tolerance due to las scale factor of 0.0001
+        # check if output files contain the same data as the internal arrays
+        leg0 = np.loadtxt(Path(dirname) / 'leg000_points.xyz')
+        leg1 = np.loadtxt(Path(dirname) / 'leg001_points.xyz')
+        leg2 = np.loadtxt(Path(dirname) / 'leg002_points.xyz')
+        measurements_from_file = np.vstack((leg0, leg1, leg2))
+        # account for different (order of) fields in internal array and file 
+        assert np.allclose(measurements_array[:, (0, 1, 2, 9, 10, 12, 11, 13, 14, 15, 16)], measurements_from_file, atol=1e-6)