diff --git a/src/cmlibs/exporter/flatmapsvg.py b/src/cmlibs/exporter/flatmapsvg.py
index 619c766..b87f092 100644
--- a/src/cmlibs/exporter/flatmapsvg.py
+++ b/src/cmlibs/exporter/flatmapsvg.py
@@ -24,6 +24,9 @@
 from cmlibs.utils.zinc.finiteelement import get_highest_dimension_mesh
 from cmlibs.utils.zinc.general import ChangeManager
 
+from cmlibs.exporter.utils.beziercurve import stroke_poly_bezier
+from cmlibs.exporter.utils.continuity import find_continuous_segments
+
 logger = logging.getLogger(__name__)
 
 SVG_COLOURS = [
@@ -41,6 +44,17 @@
 
 SVG_OPENING_ELEMENT = '<svg width="1000" height="1000" viewBox="WWW XXX YYY ZZZ" xmlns="http://www.w3.org/2000/svg">'
 
+UNGROUPED_GROUP_NAME = ".ungrouped"
+
+
+def  _default_label_text(label, annotations_map):
+    if isinstance(annotations_map, str):
+        return f"Label '{label}' for term '{annotations_map}' was not found during lookup."
+
+    missing_annotation_text = '<missing-annotation>'
+    annotation_text = annotations_map.get(label, missing_annotation_text) if annotations_map else missing_annotation_text
+    return f"Label '{label}' for term '{annotation_text}' was not found during lookup."
+
 
 class ArgonSceneExporter(BaseExporter):
     """
@@ -56,6 +70,8 @@ def __init__(self, output_target=None, output_prefix=None):
         self._output_target = output_target
         self._annotations_csv_file = None
         self._annotations_json_file = None
+        self._coordinates_field_name = "coordinates"
+        self._material_field_name = "vagus coordinates"
 
     def export(self, output_target=None):
         """
@@ -99,13 +115,13 @@ def export_flatmapsvg_from_scene(self, scene, scene_filter=None):
             graphics are included in the export.
         """
         region = scene.getRegion()
-        path_points, svg_id_group_map = _analyze_elements(region, "coordinates")
+        path_points, group_element_map, points_index_element_id_map, svg_id_group_name_map = _analyze_elements(region, self._coordinates_field_name)
+        group_name_svg_id_map = {v: k for k, v in svg_id_group_name_map.items()}
         bezier = _calculate_bezier_control_points(path_points)
-        markers = _calculate_markers(region, "coordinates")
-        connected_segments = _collect_curves_into_segments(bezier)
-        end_point_data = _collate_end_points(connected_segments, svg_id_group_map)
-        network_plan, network_points = _determine_network(region, end_point_data, "coordinates")
-        svg_string = _write_into_svg_format(connected_segments, markers, network_points)
+        markers = _calculate_markers(region, self._coordinates_field_name)
+        connected_segments, connected_segments_index = _collect_curves_into_segments(bezier)
+        continuous_segments = find_continuous_segments(group_element_map, connected_segments_index)
+        svg_string = _write_into_svg_format(bezier, continuous_segments, markers, group_name_svg_id_map)
         view_box = _calculate_view_box(svg_string)
 
         boundaries = _calculate_cervical_thoracic_boundaries(markers)
@@ -120,12 +136,12 @@ def export_flatmapsvg_from_scene(self, scene, scene_filter=None):
         svg_string = parseString(svg_string).toprettyxml()
 
         reversed_annotations_map = self._read_reversed_annotations_map()
-        networks = [_create_vagus_network(network_plan, {v: k for k, v in svg_id_group_map.items()}, reversed_annotations_map)]
+        networks = [_create_vagus_network(continuous_segments, group_name_svg_id_map, reversed_annotations_map)]
 
         features = {}
         for marker in markers:
             feature = {
-                "name": marker[2],
+                "label": _default_label_text(marker[2], marker[3]),
                 "models": marker[3],
                 "colour": "orange"
             }
@@ -134,9 +150,14 @@ def export_flatmapsvg_from_scene(self, scene, scene_filter=None):
         if region_features is not None:
             features.update(region_features)
 
-        properties = {"networks": networks}
-        if features:
-            properties["features"] = features
+        centreline_features = {}
+        for label, ids in continuous_segments.items():
+            if len(ids) > 0:
+                svg_id = group_name_svg_id_map.get(label, UNGROUPED_GROUP_NAME)
+                centreline_features[svg_id] = {"label": _default_label_text(label, reversed_annotations_map)}
+        features.update(centreline_features)
+
+        properties = {"networks": networks, "features": features}
 
         with open(f'{os.path.join(self._output_target, self._prefix)}.svg', 'w') as f:
             f.write(svg_string)
@@ -150,9 +171,15 @@ def set_annotations_csv_file(self, filename):
     def set_annotations_json_file(self, filename):
         self._annotations_json_file = filename
 
+    def set_coordinates_field_name(self, coordinates_field_name):
+        self._coordinates_field_name = coordinates_field_name
+
+    def set_material_field_name(self, material_field_name):
+        self._material_field_name = material_field_name
+
     def _read_reversed_annotations_map(self):
         reversed_map = None
-        if self._annotations_csv_file is not None:
+        if self._annotations_csv_file is not None and os.path.isfile(self._annotations_csv_file):
             with open(self._annotations_csv_file) as fh:
                 result = csv.reader(fh)
 
@@ -162,7 +189,7 @@ def _read_reversed_annotations_map(self):
                     fh.seek(0)
                     reversed_map = _reverse_map_annotations_csv(result)
 
-        if self._annotations_json_file is not None:
+        if self._annotations_json_file is not None and os.path.isfile(self._annotations_json_file):
             with open(self._annotations_json_file) as fh:
                 try:
                     result = json.load(fh)
@@ -253,21 +280,19 @@ def _analyze_elements(region, coordinate_field_name):
         logger.warning(f"Mesh found in region '{region.getName()}' is empty.")
         return {}, {}
 
-    group_list = get_group_list(fm)
-    grouped_path_points = {
-        "ungrouped": []
-    }
-    svg_id_group_map = {}
+    svg_id_group_name_map = {}
 
+    group_list = get_group_list(fm)
     size_of_digits = len(f'{len(group_list)}')
     for group_index, group in enumerate(group_list):
         group_name = group.getName()
         if group_name != "marker":
             group_label = _define_group_label(group_index, size_of_digits)
-            grouped_path_points[group_label] = []
-            # grouped_element_info[group_label] = []
-            svg_id_group_map[_group_svg_id(group_label)] = group_name
+            svg_id_group_name_map[_group_svg_id(group_label)] = group_name
 
+    path_points = []
+    groups_points = {}
+    points_element_id_map = {}
     with ChangeManager(fm):
         xi_1_derivative = fm.createFieldDerivative(coordinates, 1)
 
@@ -287,41 +312,126 @@ def _analyze_elements(region, coordinate_field_name):
                 line_path_points = [(values_1, derivatives_1), (values_2, derivatives_2)]
 
             if line_path_points is not None:
+                path_points_index = len(path_points)
+                path_points.append(line_path_points)
                 in_group = False
                 for group_index, group in enumerate(group_list):
                     mesh_group = group.getMeshGroup(mesh)
                     if mesh_group.containsElement(element):
-                        group_label = _define_group_label(group_index, size_of_digits)
-                        grouped_path_points[group_label].append(line_path_points)
+                        group_name = group.getName()
+                        groups_points.setdefault(group_name, []).append(path_points_index)
+                        points_element_id_map[path_points_index] = element.getIdentifier()
                         in_group = True
 
                     del mesh_group
 
                 if not in_group:
-                    grouped_path_points["ungrouped"].append(line_path_points)
+                    points_element_id_map[path_points_index] = element.getIdentifier()
+                    groups_points.setdefault(UNGROUPED_GROUP_NAME, []).append(path_points_index)
 
             element = el_iterator.next()
 
         del xi_1_derivative
 
-    return grouped_path_points, svg_id_group_map
+    return path_points, groups_points, points_element_id_map, svg_id_group_name_map
+
+
+def _calculate_view_box(svg_string, margin = 10):
+    """
+    Calculates the viewBox for an SVG string based on the bounding box of its paths.
+
+    Args:
+        svg_string: The raw SVG content as a string.
+        margin: The integer margin to add around the content.
+
+    Returns:
+        A tuple (x, y, width, height) for the viewBox attribute,
+        or (0, 0, 0, 0) if the SVG contains no paths.
+    """
+    paths, _ = svg2paths(svg_string)
+
+    if not paths:
+        return 0, 0, 0, 0
+
+    all_bboxes = [p.bbox() for p in paths]
+
+    min_xs, max_xs, min_ys, max_ys = zip(*all_bboxes)
+
+    min_x = min(min_xs)
+    max_x = max(max_xs)
+    min_y = min(min_ys)
+    max_y = max(max_ys)
+
+    width = max_x - min_x
+    height = max_y - min_y
+
+    view_box_x = round(min_x) - margin
+    view_box_y = round(min_y) - margin
+    view_box_width = round(width) + 2 * margin
+    view_box_height = round(height) + 2 * margin
+
+    return view_box_x, view_box_y, view_box_width, view_box_height
+
 
+def _get_start_points_and_element_ids(path_points, element_id_map, connected_segments_index):
+    return [(path_points[indices[0]][0][0], [element_id_map[_id] for _id in indices]) for indices in connected_segments_index]
 
-def _calculate_view_box(svg_string):
-    paths, attributes = svg2paths(svg_string)
-    bbox = [999999999, -999999999, 999999999, -999999999]
-    for p in paths:
-        path_bbox = p.bbox()
-        bbox[0] = min(path_bbox[0], bbox[0])
-        bbox[1] = max(path_bbox[1], bbox[1])
-        bbox[2] = min(path_bbox[2], bbox[2])
-        bbox[3] = max(path_bbox[3], bbox[3])
 
-    view_margin = 10
-    return (int(bbox[0] + 0.5) - view_margin,
-            int(bbox[2] + 0.5) - view_margin,
-            int(bbox[1] - bbox[0] + 0.5) + 2 * view_margin,
-            int(bbox[3] - bbox[2] + 0.5) + 2 * view_margin)
+def _add_all_elements_except(mesh, mesh_1d, mesh_group, except_element_ids):
+    """
+    Map the 3D element to 1D elements with the same identifier.
+    This relies on the fact that the 3D elements are built from the
+    underlying 1D elements and that there is an exact 1-to-1 match
+    between identifiers.
+    """
+    element_iterator = mesh.createElementiterator()
+    element = element_iterator.next()
+    while element.isValid():
+        if element.getIdentifier() not in except_element_ids:
+            element_1d = mesh_1d.findElementByIdentifier(element.getIdentifier())
+            mesh_group.addElement(element_1d)
+        element = element_iterator.next()
+
+
+def _find_intersections(region, coordinate_field_name, material_field_name, start_info):
+    fm = region.getFieldmodule()
+    mesh = get_highest_dimension_mesh(fm)
+    mesh_1d = fm.findMeshByDimension(1)
+
+    if mesh is None or mesh.getSize() == 0:
+        return {}, []
+
+
+    with ChangeManager(fm):
+
+        fc = fm.createFieldcache()
+        coordinates = fm.findFieldByName(coordinate_field_name).castFiniteElement()
+        vagus_coordinates = fm.findFieldByName(material_field_name).castFiniteElement()
+        find_mesh_location_field = fm.createFieldFindMeshLocation(coordinates, coordinates, mesh_1d)
+        find_mesh_location_field.setSearchMode(FieldFindMeshLocation.SEARCH_MODE_NEAREST)
+
+        for info in start_info:
+            first_point = info[0]
+            element_id = info[1][0]
+
+            field_group_1d = fm.createFieldGroup()
+            mesh_1d_group = field_group_1d.createMeshGroup(mesh_1d)
+            _add_all_elements_except(mesh, mesh_1d, mesh_1d_group, info[1])
+            element = mesh_1d.findElementByIdentifier(element_id)
+            if element.isValid():
+                find_mesh_location_field.setSearchMesh(mesh_1d_group)
+                fc.setFieldReal(coordinates, first_point)
+                mesh_location_element, mesh_location_xi = find_mesh_location_field.evaluateMeshLocation(fc, 1)
+                if mesh_location_element.isValid():
+                    fc.setMeshLocation(mesh_location_element, mesh_location_xi)
+                    result_1, values = coordinates.evaluateReal(fc, 3)
+                    result_2, material_values = vagus_coordinates.evaluateReal(fc, 3)
+                    if result_1 == RESULT_OK and result_2 == RESULT_OK:
+                        print("Found intersection:", values, mesh_location_element.getIdentifier())
+            else:
+                print(f"Expected element '{element_id}' to be valid but it isn't.")
+
+    return {}
 
 
 def _determine_network(region, end_point_data, coordinate_field_name):
@@ -347,7 +457,7 @@ def _determine_network(region, end_point_data, coordinate_field_name):
 
     # Map the 3D element groups to 1D elements with the same identifier.
     # This relies on the fact that the 3D elements are built from the
-    # underlying 1D elements and that their is an exact 1-to-1 match
+    # underlying 1D elements and that there is an exact 1-to-1 match
     # between identifiers.
     group_1d_group_map = {}
     for group in group_list:
@@ -479,15 +589,13 @@ def _collate_end_points(connected_segments, svg_id_group_map):
         for c in connected_segment:
             end_points.append((c[0][0], c[-1][3]))
         svg_id = _group_svg_id(group_name)
-        end_point_data[svg_id_group_map.get(svg_id, "ungrouped")] = end_points
+        end_point_data[svg_id_group_map.get(svg_id, UNGROUPED_GROUP_NAME)] = end_points
     return end_point_data
 
 
-def _create_plan(label, plan_data, group_svg_id_map, annotations_map):
+def _create_plan(label, group_svg_id_map, annotations_map):
     plan = {
-        "id": group_svg_id_map.get(label, "ungrouped"),
-        "label": label,
-        "connects": plan_data,
+        "id": group_svg_id_map.get(label, UNGROUPED_GROUP_NAME),
     }
     if annotations_map is not None and _label_has_annotations(label, annotations_map):
         plan["models"] = annotations_map[label]
@@ -495,15 +603,15 @@ def _create_plan(label, plan_data, group_svg_id_map, annotations_map):
     return plan
 
 
-def _create_network_centrelines(network_plan, group_svg_id_map, annotations_map):
-    return [_create_plan(label, data, group_svg_id_map, annotations_map) for label, data in network_plan.items()]
+def _create_network_centrelines(network, group_svg_id_map, annotations_map):
+    return [_create_plan(label, group_svg_id_map, annotations_map) for label, ids in network.items() if len(ids)]
 
 
-def _create_vagus_network(network_plan, group_svg_id_map, annotations_map):
+def _create_vagus_network(network, group_svg_id_map, annotations_map):
     return {
         "id": "vagus",
         "type": "nerve",
-        "centrelines": _create_network_centrelines(network_plan, group_svg_id_map, annotations_map)
+        "centrelines": _create_network_centrelines(network, group_svg_id_map, annotations_map)
     }
 
 
@@ -536,7 +644,7 @@ def _calculate_bezier_curve(pt_1, pt_2):
     return b0, b1, b2, b3
 
 
-def _calculate_bezier_control_points(point_data):
+def _calculate_bezier_control_points_old(point_data):
     bezier = {}
 
     for point_group in point_data:
@@ -548,6 +656,10 @@ def _calculate_bezier_control_points(point_data):
     return bezier
 
 
+def _calculate_bezier_control_points(point_data):
+    return [_calculate_bezier_curve(points[0], points[1]) for points in point_data]
+
+
 class UnionFind:
     def __init__(self, v):
         self.parent = [-1 for _ in range(v)]
@@ -642,13 +754,14 @@ def _connected_segments(curve):
     return segments
 
 
-def _collect_curves_into_segments(bezier_data):
+def _collect_curves_into_segments_old(bezier_data):
     collection_of_paths = {}
     for group_name in bezier_data:
         connected_paths = _connected_segments(bezier_data[group_name])
 
         if len(connected_paths) > 1:
             logger.warning("Two (or more) of the following points should have been detected as the same point.")
+            logger.warning(f"From group: '{group_name}'")
             for connected_path in connected_paths:
                 logger.warning(f"{connected_path[0][0]} - {connected_path[-1][-1]}")
 
@@ -657,6 +770,15 @@ def _collect_curves_into_segments(bezier_data):
     return collection_of_paths
 
 
+def _collect_curves_into_segments(bezier_data):
+    segments = _connected_segments(bezier_data)
+    segments_index = []
+    for segment in segments:
+        segments_index.append([bezier_data.index(point) for point in segment])
+
+    return segments, segments_index
+
+
 def _calculate_section_control_vectors(b, normals=False):
     u1 = sub(b[1], b[0])
     u2 = mult(sub(b[2], b[3]), -1)
@@ -673,7 +795,7 @@ def _calculate_section_control_vectors(b, normals=False):
     return n1, n2
 
 
-def _expand_bezier_path_to_outline(bezier_path, group_name):
+def _expand_bezier_path_to_outline(bezier_path):
     offset = 2
 
     offset_bezier_paths = []
@@ -743,17 +865,47 @@ def _create_joining_section(offset_section, reverse_offset_section):
     return joining_section_1
 
 
+def _get_stroke_colour(group_name, outline=False):
+    return "grey" if group_name is None else "#e28343" if outline else "#01136e"
+
+
 def _write_connected_svg_bezier_path(bezier_path, group_name, outline=False):
-    stroke = "grey" if group_name is None else "#e28343" if outline else "#01136e"
+    stroke = _get_stroke_colour(group_name, outline)
 
     svg = '<path d="'
-    for i, bezier_section in enumerate(bezier_path):
-        m_space = '' if i == 0 else ' '
-        for j, b in enumerate(bezier_section):
-            if j == 0:
-                svg += f'{m_space}M {b[0][0]} {-b[0][1]}'
+    for i, b in enumerate(bezier_path):
+        if i == 0:
+            svg += f'M {b[0][0]} {-b[0][1]}'
 
-            svg += f' C {b[1][0]} {-b[1][1]}, {b[2][0]} {-b[2][1]}, {b[3][0]} {-b[3][1]}'
+        svg += f' C {b[1][0]} {-b[1][1]}, {b[2][0]} {-b[2][1]}, {b[3][0]} {-b[3][1]}'
+    svg += f'" stroke="{stroke}" fill="none"'
+    svg += '/>' if group_name is None else f'><title>.id({_group_svg_id(group_name)})</title></path>'
+
+    return svg
+
+
+def _write_connected_svg_polygon_path(polygon_path, group_name, outline=False):
+    stroke = _get_stroke_colour(group_name, outline)
+
+    svg = '<path d="'
+    d_parts = []
+    for poly_points in polygon_path:
+        if len(poly_points) == 0:
+            continue
+
+        # Start with the 'Move To' command for the first point
+        start_point = poly_points[0]
+        d_parts.append(f"M {start_point[0]:.3f} {-start_point[1]:.3f}")
+
+        # Add 'Line To' commands for the rest of the points
+        for point in poly_points[1:]:
+            d_parts.append(f"L {point[0]:.3f} {-point[1]:.3f}")
+
+        # Add the 'Close Path' command
+        d_parts.append("Z")
+
+    # Join all parts to form the final 'd' attribute string
+    svg += " ".join(d_parts)
     svg += f'" stroke="{stroke}" fill="none"'
     svg += '/>' if group_name is None else f'><title>.id({_group_svg_id(group_name)})</title></path>'
 
@@ -764,17 +916,20 @@ def _write_svg_circle(point, identifier):
     return f'<circle style="fill: rgb(216, 216, 216);" cx="{point[0]}" cy="{-point[1]}" r="0.9054"><title>.id({identifier})</title></circle>'
 
 
-def _write_into_svg_format(connected_paths, markers, network_points):
+def _write_into_svg_format(bezier, paths, markers, group_name_id_map, network_points=None):
     svg = SVG_OPENING_ELEMENT
 
-    size_of_digits = len(f'{len(network_points)}')
-    for index, network_point in enumerate(network_points):
-        svg += _write_svg_circle(network_point, _define_point_title(index, size_of_digits))
-
-    for group_name, connected_path in connected_paths.items():
-        offset_paths = _expand_bezier_path_to_outline(connected_path, group_name if group_name != "ungrouped" else None)
-        svg += _write_connected_svg_bezier_path(connected_path, group_name=group_name if group_name != "ungrouped" else None)
-        svg += _write_connected_svg_bezier_path(offset_paths, group_name=f"{group_name}_outline" if group_name != "ungrouped" else None, outline=True)
+    if network_points is not None:
+        size_of_digits = len(f'{len(network_points)}')
+        for index, network_point in enumerate(network_points):
+            svg += _write_svg_circle(network_point, _define_point_title(index, size_of_digits))
+
+    for group_name, connected_indices in paths.items():
+        connected_path = [bezier[index] for index in connected_indices]
+        svg_id = group_name_id_map[group_name]
+        offset_paths = stroke_poly_bezier(connected_path, 1, 100)
+        svg += _write_connected_svg_bezier_path(connected_path, group_name=svg_id if group_name != UNGROUPED_GROUP_NAME else None)
+        svg += _write_connected_svg_polygon_path(offset_paths, group_name=f"{svg_id}_outline" if group_name != UNGROUPED_GROUP_NAME else None, outline=True)
 
     # for i in range(len(bezier_path)):
     #     b = bezier_path[i]
diff --git a/src/cmlibs/exporter/utils/__init__.py b/src/cmlibs/exporter/utils/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/cmlibs/exporter/utils/beziercurve.py b/src/cmlibs/exporter/utils/beziercurve.py
new file mode 100644
index 0000000..7ba9f40
--- /dev/null
+++ b/src/cmlibs/exporter/utils/beziercurve.py
@@ -0,0 +1,363 @@
+import numpy as np
+# import matplotlib.pyplot as plt
+# import matplotlib.patches as patches
+
+
+# --- 1. Bézier Math Functions (Unchanged) ---
+
+def cubic_bezier_point(t, control_points):
+    """Calculates a point on a cubic Bézier curve at parameter t."""
+    p0, p1, p2, p3 = control_points
+    t_inv = 1.0 - t
+    return (t_inv ** 3 * p0 +
+            3 * t_inv ** 2 * t * p1 +
+            3 * t_inv * t ** 2 * p2 +
+            t ** 3 * p3)
+
+
+def cubic_bezier_derivative(t, control_points):
+    """Calculates the derivative (tangent vector) of a cubic Bézier curve."""
+    p0, p1, p2, p3 = control_points
+    t_inv = 1.0 - t
+    return (3 * t_inv ** 2 * (p1 - p0) +
+            6 * t_inv * t * (p2 - p1) +
+            3 * t ** 2 * (p3 - p2))
+
+
+# --- 2. The Updated Stroking Algorithm with Capping ---
+
+def _stroke_single_segment(control_points, offset_distance, num_segments=50):
+    """Helper function to generate the raw offset strokes for a single 4-point Bézier segment."""
+    offset_points_a, offset_points_b = [], []
+    t_values = np.linspace(0, 1, num_segments + 1)
+    last_good_normal = None
+
+    for t in t_values:
+        point = cubic_bezier_point(t, control_points)
+        tangent = cubic_bezier_derivative(t, control_points)
+        norm_of_tangent = np.linalg.norm(tangent)
+
+        if norm_of_tangent < 1e-6:
+            if last_good_normal is not None:
+                unit_normal = last_good_normal
+            else:
+                continue
+        else:
+            normal = np.array([-tangent[1], tangent[0]])
+            unit_normal = normal / np.linalg.norm(normal)
+            last_good_normal = unit_normal
+
+        offset_points_a.append(point + offset_distance * unit_normal)
+        offset_points_b.append(point - offset_distance * unit_normal)
+
+    return np.array(offset_points_a), np.array(offset_points_b)
+
+
+def _apply_caps(stroke_a, stroke_b, start_control_points, end_control_points, offset_distance, cap_style, cap_segments):
+    """Helper function to apply caps to a completed pair of stroke polylines."""
+    if cap_style == 'butt':
+        full_polygon = np.concatenate([stroke_a, stroke_b[::-1]])
+        return [full_polygon]
+
+    elif cap_style == 'round':
+        end_center = cubic_bezier_point(1, end_control_points)
+        end_arc = _create_arc_points(end_center, stroke_a[-1], stroke_b[-1], cap_segments)
+        start_center = cubic_bezier_point(0, start_control_points)
+        start_arc = _create_arc_points(start_center, stroke_b[0], stroke_a[0], cap_segments)
+        full_polygon = np.concatenate([stroke_a, end_arc, stroke_b[::-1], start_arc])
+        return [full_polygon]
+
+    elif cap_style == 'square':
+        start_tangent = cubic_bezier_derivative(0.001, start_control_points)
+        start_tangent_unit = start_tangent / np.linalg.norm(start_tangent)
+        end_tangent = cubic_bezier_derivative(0.999, end_control_points)
+        end_tangent_unit = end_tangent / np.linalg.norm(end_tangent)
+
+        cap_start_a = stroke_a[0] - offset_distance * start_tangent_unit
+        cap_start_b = stroke_b[0] - offset_distance * start_tangent_unit
+        cap_end_a = stroke_a[-1] + offset_distance * end_tangent_unit
+        cap_end_b = stroke_b[-1] + offset_distance * end_tangent_unit
+
+        full_polygon = np.concatenate(
+            [[cap_start_b], [cap_start_a], stroke_a, [cap_end_a], [cap_end_b], stroke_b[::-1]])
+        return [full_polygon]
+
+    else:
+        raise ValueError("cap_style must be one of 'butt', 'round', or 'square'")
+
+
+# --- 3. New Main Function for Poly-Bézier Curves ---
+
+def stroke_poly_bezier(all_control_points, offset_distance, num_segments_per_curve=50, cap_style='round',
+                       cap_segments=15):
+    """
+    Strokes a continuous Poly-Bézier curve defined by a list of control points.
+    The number of points must be 3*N + 1 (e.g., 4, 7, 10, ...).
+    """
+    all_control_points = np.array(all_control_points)
+
+    # # Validate the number of control points
+    # if len(all_control_points) < 4 or (len(all_control_points) - 1) % 3 != 0:
+    #     raise ValueError("Number of control points must be 3*N + 1 (e.g., 4, 7, 10...).")
+
+    # Break the points into 4-point segments
+    # segments = []
+    # for i in range(0, len(all_control_points) - 1, 3):
+    #     segment = all_control_points[i:i + 4]
+    #     segments.append(segment)
+
+    # Stroke each segment and stitch the results together
+    full_stroke_a, full_stroke_b = [], []
+    for i, segment in enumerate(all_control_points):
+        stroke_a, stroke_b = _stroke_single_segment(segment, offset_distance, num_segments_per_curve)
+
+        if i == 0:
+            full_stroke_a.append(stroke_a)
+            full_stroke_b.append(stroke_b)
+        else:
+            # Append, skipping the first point to avoid duplicates at joins
+            full_stroke_a.append(stroke_a[1:])
+            full_stroke_b.append(stroke_b[1:])
+
+    # Combine the lists of arrays into single arrays
+    final_stroke_a = np.concatenate(full_stroke_a, axis=0)
+    final_stroke_b = np.concatenate(full_stroke_b, axis=0)
+
+    # Apply caps to the start and end of the complete stitched curve
+    start_cps = all_control_points[0]
+    end_cps = all_control_points[-1]
+    return _apply_caps(final_stroke_a, final_stroke_b, start_cps, end_cps, offset_distance, cap_style, cap_segments)
+
+
+def stroke_bezier(control_points, offset_distance, num_segments=100, cap_style='butt', cap_segments=10):
+    """
+    Performs discrete offsetting (stroking) on a cubic Bézier curve with end caps.
+
+    Args:
+        control_points (list or np.ndarray): The four [x, y] control points P0, P1, P2, P3.
+        offset_distance (float): The distance to offset the curve on each side.
+        num_segments (int): Number of segments to approximate the curve.
+        cap_style (str): The style of the end caps. One of 'butt', 'round', or 'square'.
+        cap_segments (int): Number of segments for 'round' caps.
+
+    Returns:
+        list[np.ndarray]: A list of numpy arrays. For 'butt' caps, this will be two
+                          separate polylines. For 'round' and 'square' caps, it will
+                          be a single closed polygon.
+    """
+    control_points = np.array(control_points)
+
+    # Generate the two offset strokes (polylines)
+    offset_points_a = []
+    offset_points_b = []
+    t_values = np.linspace(0, 1, num_segments + 1)
+    last_good_normal = None
+
+    for t in t_values:
+        point = cubic_bezier_point(t, control_points)
+        tangent = cubic_bezier_derivative(t, control_points)
+        norm_of_tangent = np.linalg.norm(tangent)
+
+        if norm_of_tangent < 1e-6:
+            if last_good_normal is not None:
+                unit_normal = last_good_normal
+            else:  # Cannot determine a normal, skip
+                continue
+        else:
+            normal = np.array([-tangent[1], tangent[0]])
+            unit_normal = normal / np.linalg.norm(normal)
+            last_good_normal = unit_normal
+
+        offset_points_a.append(point + offset_distance * unit_normal)
+        offset_points_b.append(point - offset_distance * unit_normal)
+
+    stroke_a = np.array(offset_points_a)
+    stroke_b = np.array(offset_points_b)
+
+    # If strokes are empty, return nothing
+    if len(stroke_a) == 0:
+        return []
+
+    # --- Capping Logic ---
+    if cap_style == 'butt':
+        # End cap (t=1)
+        end_center = cubic_bezier_point(1, control_points)
+        end_arc = _create_arc_points(end_center, stroke_b[-1], stroke_a[-1], cap_segments)
+
+        # Start cap (t=0)
+        start_center = cubic_bezier_point(0, control_points)
+        start_arc = _create_arc_points(start_center, stroke_a[0], stroke_b[0], cap_segments)
+
+        # Combine into a single closed polygon
+        # Order: Stroke A -> End Cap Arc -> Reversed Stroke B -> Start Cap Arc
+        full_polygon = np.concatenate([
+            stroke_a,
+            end_arc,
+            stroke_b[::-1],  # Reversed stroke B
+            start_arc
+        ])
+        return [full_polygon]
+
+    elif cap_style == 'round':
+        # End cap (t=1)
+        end_center = cubic_bezier_point(1, control_points)
+        end_arc = _create_arc_points(end_center, stroke_a[-1], stroke_b[-1], cap_segments)
+
+        # Start cap (t=0)
+        start_center = cubic_bezier_point(0, control_points)
+        start_arc = _create_arc_points(start_center, stroke_b[0], stroke_a[0], cap_segments)
+
+        # Combine into a single closed polygon
+        # Order: Stroke A -> End Cap Arc -> Reversed Stroke B -> Start Cap Arc
+        full_polygon = np.concatenate([
+            stroke_a,
+            end_arc,
+            stroke_b[::-1],  # Reversed stroke B
+            start_arc
+        ])
+        return [full_polygon]
+
+    elif cap_style == 'square':
+        # Start cap (t=0)
+        start_tangent = cubic_bezier_derivative(0, control_points)
+        start_tangent_unit = start_tangent / np.linalg.norm(start_tangent)
+        cap_start_a = stroke_a[0] - offset_distance * start_tangent_unit
+        cap_start_b = stroke_b[0] - offset_distance * start_tangent_unit
+
+        # End cap (t=1)
+        end_tangent = cubic_bezier_derivative(1, control_points)
+        end_tangent_unit = end_tangent / np.linalg.norm(end_tangent)
+        cap_end_a = stroke_a[-1] + offset_distance * end_tangent_unit
+        cap_end_b = stroke_b[-1] + offset_distance * end_tangent_unit
+
+        # Combine into a single closed polygon
+        full_polygon = np.concatenate([
+            [cap_start_a],
+            stroke_a,
+            [cap_end_a, cap_end_b],
+            stroke_b[::-1],
+            [cap_start_b]
+        ])
+        return [full_polygon]
+
+    else:
+        raise ValueError("cap_style must be one of 'butt', 'round', or 'square'")
+
+
+def _create_arc_points(center, start_point, end_point, num_segments):
+    """Helper function to create points for a semicircle."""
+    v_start = start_point - center
+    v_end = end_point - center
+
+    radius = np.linalg.norm(v_start)
+
+    start_angle = np.arctan2(v_start[1], v_start[0])
+    end_angle = np.arctan2(v_end[1], v_end[0])
+
+    # Ensure the arc travels in the correct direction (less than 180 degrees)
+    if np.cross(v_start, v_end) < 0:
+        if end_angle < start_angle:
+            start_angle += 2 * np.pi
+    else:
+        if end_angle > start_angle:
+            end_angle -= 2 * np.pi
+
+    angles = np.linspace(start_angle, end_angle, num_segments)
+    arc_points = center + radius * np.array([np.cos(angles), np.sin(angles)]).T
+    return arc_points
+
+
+# --- 3. Example Usage & Visualization ---
+
+def single_main():
+    # Define a sample cubic Bézier curve (S-curve)
+    control_points = np.array([[100, 200], [250, 400], [450, 600], [600, 200]])
+
+    # --- Parameters to change ---
+    OFFSET_DISTANCE = 3.0
+    NUM_SEGMENTS = 100
+    CAP_STYLE = 'round'  # Options: 'butt', 'round', 'square'
+    CAP_SEGMENTS = 12
+
+    # Run the stroking algorithm
+    stroke_polygons = stroke_bezier(control_points, OFFSET_DISTANCE, NUM_SEGMENTS, cap_style=CAP_STYLE, cap_segments=CAP_SEGMENTS)
+
+    # --- Visualization ---
+    fig, ax = plt.subplots(figsize=(10, 8))
+
+    # Plot the original curve as a thin line
+    t_plot = np.linspace(0, 1, 200)
+    curve_points = np.array([cubic_bezier_point(t, np.array(control_points)) for t in t_plot])
+    ax.plot(curve_points[:, 0], curve_points[:, 1], 'k-', linewidth=1, alpha=0.5, label='Original Bézier Curve')
+
+    # Plot the control points and polygon
+    ax.plot(control_points[:, 0], control_points[:, 1], 'co--', alpha=0.5, label='Control Polygon')
+    ax.plot(control_points[:, 0], control_points[:, 1], 'c*', markersize=10)
+
+    # Plot the resulting stroke polygon(s)
+    for poly_points in stroke_polygons:
+            polygon = patches.Polygon(poly_points, closed=True, facecolor='steelblue', edgecolor='darkblue')
+            ax.add_patch(polygon)
+
+    ax.set_title(f"Bézier Stroke with '{CAP_STYLE.capitalize()}' Caps")
+    ax.set_xlabel('X Coordinate')
+    ax.set_ylabel('Y Coordinate')
+    ax.legend()
+    ax.grid(True)
+    ax.set_aspect('equal', adjustable='box')  # Use an equal aspect ratio
+    plt.show()
+
+
+def poly_main():
+    # A list of 7 control points, defining TWO connected cubic Bézier segments
+    poly_control_points = np.array([
+        [100, 400],  # P0
+        [200, 100],  # P1
+        [300, 400],  # P2
+        [400, 250],  # P3 - Join point
+        [500, 100],  # P4
+        [600, 350],  # P5
+        [700, 200]  # P6
+    ])
+
+    # --- Parameters to change ---
+    OFFSET_DISTANCE = 25.0
+    CAP_STYLE = 'round'  # Options: 'butt', 'round', 'square'
+
+    # Use the new function for Poly-Bézier curves
+    stroke_polygons = stroke_poly_bezier(poly_control_points, OFFSET_DISTANCE, cap_style=CAP_STYLE)
+
+    fig, ax = plt.subplots(figsize=(12, 8))
+
+    # Plot the original composite curve
+    full_curve_points = []
+    num_segments = (len(poly_control_points) - 1) // 3
+    for i in range(num_segments):
+        segment_cps = poly_control_points[i * 3:i * 3 + 4]
+        t_plot = np.linspace(0, 1, 100)
+        # Skip first point of subsequent segments to avoid duplication
+        start_index = 1 if i > 0 else 0
+        full_curve_points.extend(cubic_bezier_point(t, segment_cps) for t in t_plot[start_index:])
+
+    full_curve_points = np.array(full_curve_points)
+    ax.plot(full_curve_points[:, 0], full_curve_points[:, 1], 'k-', linewidth=1, alpha=0.5,
+            label='Original Poly-Bézier Curve')
+
+    # Plot the control points
+    ax.plot(poly_control_points[:, 0], poly_control_points[:, 1], 'co--', alpha=0.5, label='Control Polygon')
+    ax.plot(poly_control_points[:, 0], poly_control_points[:, 1], 'c*', markersize=10)
+
+    # Draw the resulting stroke polygon(s)
+    for poly_points in stroke_polygons:
+        polygon = patches.Polygon(poly_points, closed=True, facecolor='lightcoral', edgecolor='darkred')
+        ax.add_patch(polygon)
+
+    ax.set_title(f"Stroked Poly-Bézier Curve with '{CAP_STYLE.capitalize()}' Caps")
+    ax.legend()
+    ax.grid(True)
+    ax.set_aspect('equal', adjustable='box')
+    plt.show()
+
+if __name__ == '__main__':
+    single_main()
+    # poly_main()
\ No newline at end of file
diff --git a/src/cmlibs/exporter/utils/continuity.py b/src/cmlibs/exporter/utils/continuity.py
new file mode 100644
index 0000000..85882a7
--- /dev/null
+++ b/src/cmlibs/exporter/utils/continuity.py
@@ -0,0 +1,49 @@
+
+
+def find_continuous_segments(partition_info, connected_segments):
+    """
+    Breaks down partitioned ID lists into ordered, continuous segments.
+
+    Args:
+        partition_info: The dictionary describing the partition by name and element ids.
+        connected_segments: A list of lists, where each inner list defines
+                            an ordered, connected path of element IDs.
+
+    Returns:
+        A new dictionary with the same structure, but where each ID list
+        is replaced by a list of its constituent connected segments.
+    """
+    # Step 1: Create the successor map for O(1) lookups.
+    successor_map = {}
+    for segment in connected_segments:
+        for i in range(len(segment) - 1):
+            successor_map[segment[i]] = segment[i + 1]
+
+    continuous_segments = {}
+    for node_name, exclusive_ids in partition_info.items():
+        # Use a set for efficient lookups and removals.
+        ids_to_process = set(exclusive_ids)
+        node_segments = []
+
+        # Step 3: Find all continuous segments for the current node.
+        while ids_to_process:
+            # Start a new segment with an arbitrary element.
+            # Sort the remaining IDs to ensure deterministic starting points.
+            start_id = sorted(list(ids_to_process))[0]
+
+            current_segment = [start_id]
+            ids_to_process.remove(start_id)
+
+            # Trace the segment forward using the successor map.
+            current_id = start_id
+            while successor_map.get(current_id) in ids_to_process:
+                current_id = successor_map[current_id]
+                current_segment.append(current_id)
+                ids_to_process.remove(current_id)
+
+            node_segments.append(current_segment)
+
+        if len(node_segments) == 1:
+            continuous_segments[node_name] = node_segments[0]
+
+    return continuous_segments
diff --git a/tests/resources/user-projected-annotations.json b/tests/resources/user-projected-annotations.json
new file mode 100644
index 0000000..030c020
--- /dev/null
+++ b/tests/resources/user-projected-annotations.json
@@ -0,0 +1,10 @@
+{
+  "id": "scaffold creator settings",
+  "version": "0.1.0",
+  "metadata": {
+    "annotations": [
+      {"name": "Right spinal accessory nerve", "id": "ILX:345678"},
+      {"name":  "Right hypoglossal nerve", "id": "ILX:987654"}
+    ]
+  }
+}
\ No newline at end of file
diff --git a/tests/resources/user-projected-mesh.exf b/tests/resources/user-projected-mesh.exf
new file mode 100644
index 0000000..b9ab2cd
--- /dev/null
+++ b/tests/resources/user-projected-mesh.exf
@@ -0,0 +1,11672 @@
+EX Version: 3
+Region: /
+!#nodeset nodes
+Define node template: node1
+Shape. Dimension=0
+#Fields=3
+1) coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. #Values=6 (value,d/ds1,d/ds2,d2/ds1ds2,d/ds3,d2/ds1ds3)
+ y. #Values=6 (value,d/ds1,d/ds2,d2/ds1ds2,d/ds3,d2/ds1ds3)
+ z. #Values=6 (value,d/ds1,d/ds2,d2/ds1ds2,d/ds3,d2/ds1ds3)
+2) straight coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. #Values=6 (value,d/ds1,d/ds2,d2/ds1ds2,d/ds3,d2/ds1ds3)
+ y. #Values=6 (value,d/ds1,d/ds2,d2/ds1ds2,d/ds3,d2/ds1ds3)
+ z. #Values=6 (value,d/ds1,d/ds2,d2/ds1ds2,d/ds3,d2/ds1ds3)
+3) vagus coordinates, coordinate, rectangular cartesian, real, #Components=3
+ 1. #Values=6 (value,d/ds1,d/ds2,d2/ds1ds2,d/ds3,d2/ds1ds3)
+ 2. #Values=6 (value,d/ds1,d/ds2,d2/ds1ds2,d/ds3,d2/ds1ds3)
+ 3. #Values=6 (value,d/ds1,d/ds2,d2/ds1ds2,d/ds3,d2/ds1ds3)
+Node template: node1
+Node: 1
+  1.299837490334394e+03  5.211776808114926e+03  3.475195743612432e+03  5.565377087807260e+01 -1.671964828468117e+03 -4.215917704176690e+01
+ -2.000711718769800e+05  1.027661226070810e+04 -1.398223653377196e+03 -1.949299096775488e+01  1.477374129223261e+03  3.123674355442612e+01
+  0.000000000000000e+00  8.242295734817162e-13  1.719513420539442e-12  3.774758283725532e-14  3.097966327914037e-12  3.541611448554249e-14
+  0.000000000000000e+00  0.000000000000000e+00  4.311549597095060e+03  7.650062236169795e+01  0.000000000000000e+00  0.000000000000000e+00
+  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  4.311549597095060e+03  7.650062236169792e+01
+  0.000000000000000e+00  1.165527278656971e+04  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00
+  0.000000000000000e+00  0.000000000000000e+00  6.000000000000000e-03  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00
+  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  6.000000000000000e-03  0.000000000000000e+00
+  0.000000000000000e+00  2.000000000000000e-02  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00
+Node: 2
+  6.511815722391082e+03  5.212219027520458e+03  3.565071848464997e+03  1.473752310838547e+02 -1.715983097292008e+03 -8.983127560402312e+01
+ -1.897946282456608e+05  1.027606654394531e+04 -1.434471919980700e+03 -5.619342829269122e+01  1.516100750767251e+03  7.224550150328540e+01
+  0.000000000000000e+00  9.379164112033322e-13  2.174260771425907e-12  6.217248937900877e-14  2.316369318577927e-12  1.074695887837152e-13
+  0.000000000000000e+00  0.000000000000000e+00  4.423554641748277e+03  1.922595883168991e+02  0.000000000000000e+00  0.000000000000000e+00
+  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  4.423554641748276e+03  1.922595883168991e+02
+  1.165530060665499e+04  1.165497543873769e+04  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00
+  0.000000000000000e+00  0.000000000000000e+00  6.000000000000000e-03  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00
+  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  6.000000000000000e-03  0.000000000000000e+00
+  2.000000000000000e-02  2.000000000000000e-02  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00
+Node: 3
+  1.172470416968068e+04  5.210721544794074e+03  3.917165253623492e+03  9.498322326389875e+02 -1.913499884250090e+03 -5.449084375433096e+02
+ -1.795191370409420e+05  1.026870644655930e+04 -1.571667713300790e+03  2.190208833776627e+02  1.680123996495612e+03 -7.055919331293765e+00
+  0.000000000000000e+00  1.705302565824240e-13  1.591615728102624e-12  3.694822225952521e-13  2.302158463862725e-12  4.831690603168681e-13
+  0.000000000000000e+00  0.000000000000000e+00  4.874531782436879e+03  8.893635137487574e+02  0.000000000000000e+00  0.000000000000000e+00
+  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  4.874531782436879e+03  8.893635137487571e+02
+  2.331005351205227e+04  1.164762791933406e+04  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00
+  0.000000000000000e+00  0.000000000000000e+00  6.000000000000000e-03  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00
+  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  0.000000000000000e+00  6.000000000000000e-03  0.000000000000000e+00
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+Node: 86
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+  1.259078436146215e+03  1.392819197801988e+03  5.305248936524728e+02 -2.569370908077273e+01 -8.278540254556333e+02 -3.808570388431264e+01
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+  1.304860473136555e-03  1.596163122177514e-03  1.177047632252127e-03  0.000000000000000e+00  2.467250793796703e-03  0.000000000000000e+00
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+Define node template: node2
+Shape. Dimension=0
+#Fields=3
+1) marker vagus coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. #Values=1 (value)
+ y. #Values=1 (value)
+ z. #Values=1 (value)
+2) marker_location, field, element_xi, #Components=1, host mesh=mesh3d, host mesh dimension=3
+ 1. #Values=1 (value)
+3) marker_name, field, string, #Components=1
+ 1. #Values=1 (value)
+Node template: node2
+Node: 10001
+  0.000000000000000e+00
+  0.000000000000000e+00
+  2.762944000000000e-02
+ 2  3.814720000000000e-01  5.000000000000000e-01  5.000000000000000e-01
+ "right level of superior border of jugular foramen on the vagus nerve"
+Node: 10002
+  0.000000000000000e+00
+  0.000000000000000e+00
+  4.434952000000000e-02
+ 3  2.174760000000002e-01  5.000000000000000e-01  5.000000000000000e-01
+ "right level of inferior border of jugular foramen on the vagus nerve"
+Node: 10003
+  0.000000000000000e+00
+  0.000000000000000e+00
+  1.264836800000000e-01
+ 7  3.241839999999995e-01  5.000000000000000e-01  5.000000000000000e-01
+ "right level of angle of the mandible on the vagus nerve"
+Node: 10004
+  0.000000000000000e+00
+  0.000000000000000e+00
+  1.779855000000000e-01
+ 9  8.992749999999965e-01  5.000000000000000e-01  5.000000000000000e-01
+ "right level of carotid bifurcation on the vagus nerve"
+Node: 10005
+  0.000000000000000e+00
+  0.000000000000000e+00
+  2.314482700000000e-01
+ 12  5.724135000000031e-01  5.000000000000000e-01  5.000000000000000e-01
+ "right level of laryngeal prominence on the vagus nerve"
+Node: 10006
+  0.000000000000000e+00
+  0.000000000000000e+00
+  3.394891600000000e-01
+ 17  9.744579999999995e-01  5.000000000000000e-01  5.000000000000000e-01
+ "right level of superior border of the clavicle on the vagus nerve"
+Node: 10007
+  0.000000000000000e+00
+  0.000000000000000e+00
+  3.893758500000000e-01
+ 20  4.687924999999977e-01  5.000000000000000e-01  5.000000000000000e-01
+ "right level of jugular notch on the vagus nerve"
+Node: 10008
+  0.000000000000000e+00
+  0.000000000000000e+00
+  4.876450700000000e-01
+ 25  3.822534999999933e-01  5.000000000000000e-01  5.000000000000000e-01
+ "right level of sternal angle on the vagus nerve"
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Define element template: element1
+Shape. Dimension=1, line
+#Scale factor sets=0
+#Nodes=2
+#Fields=3
+1) coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.Hermite, no modify, standard node based.
+  #Nodes=2
+  1. #Values=2
+   Value labels: value d/ds1
+  2. #Values=2
+   Value labels: value d/ds1
+ y. c.Hermite, no modify, standard node based.
+  #Nodes=2
+  1. #Values=2
+   Value labels: value d/ds1
+  2. #Values=2
+   Value labels: value d/ds1
+ z. c.Hermite, no modify, standard node based.
+  #Nodes=2
+  1. #Values=2
+   Value labels: value d/ds1
+  2. #Values=2
+   Value labels: value d/ds1
+2) straight coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.Hermite, no modify, standard node based.
+  #Nodes=2
+  1. #Values=2
+   Value labels: value d/ds1
+  2. #Values=2
+   Value labels: value d/ds1
+ y. c.Hermite, no modify, standard node based.
+  #Nodes=2
+  1. #Values=2
+   Value labels: value d/ds1
+  2. #Values=2
+   Value labels: value d/ds1
+ z. c.Hermite, no modify, standard node based.
+  #Nodes=2
+  1. #Values=2
+   Value labels: value d/ds1
+  2. #Values=2
+   Value labels: value d/ds1
+3) vagus coordinates, coordinate, rectangular cartesian, real, #Components=3
+ 1. c.Hermite, no modify, standard node based.
+  #Nodes=2
+  1. #Values=2
+   Value labels: value d/ds1
+  2. #Values=2
+   Value labels: value d/ds1
+ 2. c.Hermite, no modify, standard node based.
+  #Nodes=2
+  1. #Values=2
+   Value labels: value d/ds1
+  2. #Values=2
+   Value labels: value d/ds1
+ 3. c.Hermite, no modify, standard node based.
+  #Nodes=2
+  1. #Values=2
+   Value labels: value d/ds1
+  2. #Values=2
+   Value labels: value d/ds1
+Element template: element1
+Element: 1
+ Nodes:
+ 1 2
+Element: 2
+ Nodes:
+ 2 3
+Element: 3
+ Nodes:
+ 3 4
+Element: 4
+ Nodes:
+ 4 5
+Element: 5
+ Nodes:
+ 5 6
+Element: 6
+ Nodes:
+ 6 7
+Element: 7
+ Nodes:
+ 7 8
+Element: 8
+ Nodes:
+ 8 9
+Element: 9
+ Nodes:
+ 9 10
+Element: 10
+ Nodes:
+ 10 11
+Element: 11
+ Nodes:
+ 11 12
+Element: 12
+ Nodes:
+ 12 13
+Element: 13
+ Nodes:
+ 13 14
+Element: 14
+ Nodes:
+ 14 15
+Element: 15
+ Nodes:
+ 15 16
+Element: 16
+ Nodes:
+ 16 17
+Element: 17
+ Nodes:
+ 17 18
+Element: 18
+ Nodes:
+ 18 19
+Element: 19
+ Nodes:
+ 19 20
+Element: 20
+ Nodes:
+ 20 21
+Element: 21
+ Nodes:
+ 21 22
+Element: 22
+ Nodes:
+ 22 23
+Element: 23
+ Nodes:
+ 23 24
+Element: 24
+ Nodes:
+ 24 25
+Element: 25
+ Nodes:
+ 25 26
+Element: 26
+ Nodes:
+ 26 27
+Element: 27
+ Nodes:
+ 27 28
+Element: 28
+ Nodes:
+ 28 29
+Element: 29
+ Nodes:
+ 29 30
+Element: 30
+ Nodes:
+ 30 31
+Element: 31
+ Nodes:
+ 31 32
+Element: 32
+ Nodes:
+ 32 33
+Element: 33
+ Nodes:
+ 33 34
+Element: 34
+ Nodes:
+ 34 35
+Element: 35
+ Nodes:
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+Element: 36
+ Nodes:
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+Element: 37
+ Nodes:
+ 37 38
+Element: 38
+ Nodes:
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+Element: 39
+ Nodes:
+ 39 40
+Element: 40
+ Nodes:
+ 40 41
+Element: 41
+ Nodes:
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+Element: 42
+ Nodes:
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+Element: 43
+ Nodes:
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+Element: 44
+ Nodes:
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+Element: 45
+ Nodes:
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+Element: 46
+ Nodes:
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+Element: 47
+ Nodes:
+ 47 48
+Element: 48
+ Nodes:
+ 48 49
+Element: 49
+ Nodes:
+ 49 50
+Element: 50
+ Nodes:
+ 50 51
+Define element template: element2
+Shape. Dimension=1, line
+#Scale factor sets=1
+  scaling1, #Scale factors=13, identifiers="element_general(0,0,0,0,0,0,0,0,0,0,0,0,0)"
+#Nodes=3
+#Fields=3
+1) coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.Hermite, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 1+2+9*1+9*2+10*1+10*2+3+4+9*3+9*4+10*3+10*4 11*5+11*6+12*1+12*2+13*1+13*2+11*7+11*8+12*3+12*4+13*3+13*4
+  3. #Values=2
+   Value labels: value d/ds1
+   Scale factor indices: 0 0
+ y. c.Hermite, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 1+2+9*1+9*2+10*1+10*2+3+4+9*3+9*4+10*3+10*4 11*5+11*6+12*1+12*2+13*1+13*2+11*7+11*8+12*3+12*4+13*3+13*4
+  3. #Values=2
+   Value labels: value d/ds1
+   Scale factor indices: 0 0
+ z. c.Hermite, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 1+2+9*1+9*2+10*1+10*2+3+4+9*3+9*4+10*3+10*4 11*5+11*6+12*1+12*2+13*1+13*2+11*7+11*8+12*3+12*4+13*3+13*4
+  3. #Values=2
+   Value labels: value d/ds1
+   Scale factor indices: 0 0
+2) straight coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.Hermite, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 1+2+9*1+9*2+10*1+10*2+3+4+9*3+9*4+10*3+10*4 11*5+11*6+12*1+12*2+13*1+13*2+11*7+11*8+12*3+12*4+13*3+13*4
+  3. #Values=2
+   Value labels: value d/ds1
+   Scale factor indices: 0 0
+ y. c.Hermite, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 1+2+9*1+9*2+10*1+10*2+3+4+9*3+9*4+10*3+10*4 11*5+11*6+12*1+12*2+13*1+13*2+11*7+11*8+12*3+12*4+13*3+13*4
+  3. #Values=2
+   Value labels: value d/ds1
+   Scale factor indices: 0 0
+ z. c.Hermite, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 1+2+9*1+9*2+10*1+10*2+3+4+9*3+9*4+10*3+10*4 11*5+11*6+12*1+12*2+13*1+13*2+11*7+11*8+12*3+12*4+13*3+13*4
+  3. #Values=2
+   Value labels: value d/ds1
+   Scale factor indices: 0 0
+3) vagus coordinates, coordinate, rectangular cartesian, real, #Components=3
+ 1. c.Hermite, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 1+2+9*1+9*2+10*1+10*2+3+4+9*3+9*4+10*3+10*4 11*5+11*6+12*1+12*2+13*1+13*2+11*7+11*8+12*3+12*4+13*3+13*4
+  3. #Values=2
+   Value labels: value d/ds1
+   Scale factor indices: 0 0
+ 2. c.Hermite, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 1+2+9*1+9*2+10*1+10*2+3+4+9*3+9*4+10*3+10*4 11*5+11*6+12*1+12*2+13*1+13*2+11*7+11*8+12*3+12*4+13*3+13*4
+  3. #Values=2
+   Value labels: value d/ds1
+   Scale factor indices: 0 0
+ 3. c.Hermite, no modify, standard node based. scale factor set=scaling1
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+Define element template: element4
+Shape. Dimension=2, line*line
+#Scale factor sets=1
+  scaling1, #Scale factors=3, identifiers="global_general(1,2,3)"
+#Nodes=2
+#Fields=3
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+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
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+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
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+   Scale factor indices: 0+2 0+2
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+   Value labels: d/ds2
+   Scale factor indices: 1*3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
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+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
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+  2. #Values=1
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+   Scale factor indices: 1*3
+2) straight coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
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+   Scale factor indices: 1*3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
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+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  2. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
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+  1+1. #Values=2
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+  #Nodes=2
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+   Scale factor indices: 0+2 0+2
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+   Value labels: d/ds2
+   Scale factor indices: 1*3
+ 2. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
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+   Scale factor indices: 0+2 0+2
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+   Scale factor indices: 1*3
+  2+2. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  2. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+ 3. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  1. #Values=1
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+   Scale factor indices: 3
+  2+2. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  2. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+  1+1. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  1. #Values=1
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+   Scale factor indices: 1*3
+  2+2. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  2. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+Element template: element4
+Element: 1
+ Faces:
+ 910 911 912 913
+ Nodes:
+ 1 2
+ Scale factors:
+ -1.000000000000000e+00  5.000000000000000e-01  7.853981633974483e-01
+Define element template: element5
+Shape. Dimension=2, line*line
+#Scale factor sets=1
+  scaling1, #Scale factors=3, identifiers="global_general(1,2,3)"
+#Nodes=2
+#Fields=3
+1) coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
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+   Scale factor indices: 1*3
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+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
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+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  2. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
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+   Scale factor indices: 1*3
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+   Scale factor indices: 0+1*2 0+1*2
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+   Scale factor indices: 1*3
+  2+2. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  2. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
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+   Scale factor indices: 1*3
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+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
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+   Scale factor indices: 1*3
+  1+1. #Values=2
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+   Scale factor indices: 1*3
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+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
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+   Scale factor indices: 0+1*2 0+1*2
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+  2+2. #Values=2
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+   Scale factor indices: 0+1*2 0+1*2
+  2. #Values=1
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+   Scale factor indices: 1*3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  1. #Values=1
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+   Scale factor indices: 1*3
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+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
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+   Scale factor indices: 1*3
+  1+1. #Values=2
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+   Scale factor indices: 0+1*2 0+1*2
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+   Scale factor indices: 1*3
+  2+2. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  2. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  1. #Values=1
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+   Scale factor indices: 1*3
+  2+2. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  2. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+  1+1. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  1. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+  2+2. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  2. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+3) vagus coordinates, coordinate, rectangular cartesian, real, #Components=3
+ 1. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  1. #Values=1
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+   Scale factor indices: 1*3
+  2+2. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  2. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+  1+1. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  1. #Values=1
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+  2+2. #Values=2
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+   Scale factor indices: 0+1*2 0+1*2
+  2. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+ 3. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
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+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
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+  1+1. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
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+  2+2. #Values=2
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+Element: 2
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+ Nodes:
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+ Scale factors:
+ -1.000000000000000e+00  5.000000000000000e-01  7.853981633974483e-01
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+#Nodes=2
+#Fields=3
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+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  2. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
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+  1+1. #Values=2
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+   Scale factor indices: 0+1*2 0+1*2
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+  #Nodes=2
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+  2+2. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
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+   Scale factor indices: 1*3
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+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
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+   Scale factor indices: 0+1*2 0+1*2
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+  2+2. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  2. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
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+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
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+   Scale factor indices: 1*3
+  2+2. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
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+  1+1. #Values=2
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+   Scale factor indices: 0+1*2 0+1*2
+  2. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
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+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  1. #Values=1
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+   Scale factor indices: 1*3
+  2+2. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
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+   Scale factor indices: 1*3
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+   Scale factor indices: 0+1*2 0+1*2
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+  #Nodes=2
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+   Value labels: d/ds2
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+   Scale factor indices: 0+1*2 0+1*2
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+   Scale factor indices: 0+1*2 0+1*2
+  2. #Values=1
+   Value labels: d/ds2
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+  #Nodes=2
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+   Scale factor indices: 0+1*2 0+1*2
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+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
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+   Scale factor indices: 1*3
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+Element: 3
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+ Nodes:
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+ Scale factors:
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+#Fields=3
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+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
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+  2. #Values=1
+   Value labels: d/ds3
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+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
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+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
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+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
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+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  2. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
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+  2. #Values=1
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+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
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+   Scale factor indices: 0+1*2 0+1*2
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+   Value labels: d/ds3
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+  #Nodes=2
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+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  1. #Values=1
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+  2+2. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
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+  1+1. #Values=2
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+  1. #Values=1
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+  2+2. #Values=2
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+   Scale factor indices: 0+2 0+2
+  2. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
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+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
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+   Scale factor indices: 0+1*2 0+1*2
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+  1+1. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  1. #Values=1
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+   Scale factor indices: 3
+  2+2. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  2. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+3) vagus coordinates, coordinate, rectangular cartesian, real, #Components=3
+ 1. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
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+   Scale factor indices: 0+1*2 0+1*2
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+  2+2. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
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+  2+2. #Values=2
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+   Scale factor indices: 0+2 0+2
+  2. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+ 2. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  1. #Values=1
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+   Scale factor indices: 3
+  2+2. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  2. #Values=1
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+  1+1. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  1. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+  2+2. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  2. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+ 3. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=2
+  1+1. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  1. #Values=1
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+   Scale factor indices: 3
+  2+2. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  2. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+  1+1. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  1. #Values=1
+   Value labels: d/ds3
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+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+2) straight coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+3) vagus coordinates, coordinate, rectangular cartesian, real, #Components=3
+ 1. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+ 2. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+ 3. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+Element template: element8
+Element: 201
+ Faces:
+ 1314 1315 1316 1317
+ Nodes:
+ 3 4 52
+ Scale factors:
+ -1.000000000000000e+00  5.000000000000000e-01  7.853981633974483e-01  9.409935282910185e-01  1.072945787145280e-01
+  5.900647170898159e-02 -1.859464471010425e-02 -7.553353405477932e-01  4.746259240126981e-01  7.553353405477932e-01
+ -2.299612645604913e-01 -7.033789829897708e-02 -1.415269028746099e-01 -2.397004024507342e-03 -4.974988728261113e-02
+ -1.339738816655017e-01 -1.500654591413667e-01  5.786399528838047e-03  1.558247562134327e-02  6.602288937576237e-03
+  4.689892127361018e-01 -1.751910166971277e-01
+Define element template: element9
+Shape. Dimension=2, line*line
+#Scale factor sets=1
+  scaling1, #Scale factors=22, identifiers="global_general(1,2,3) element_general(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)"
+#Nodes=3
+#Fields=3
+1) coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+2) straight coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+3) vagus coordinates, coordinate, rectangular cartesian, real, #Components=3
+ 1. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+ 2. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+ 3. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*20*8+5+2*20*9+12*4+2*21*4+12*5+2*21*5+13*4+2*22*4+13*5+2*22*5+6+2*20*10+7+2*20*11+12*6+2*21*6+12*7+2*21*7+13*6+2*22*6+13*7+2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*17*8+1*3*17*9+1*3*18*4+1*3*18*5+1*3*19*4+1*3*19*5+1*3*17*10+1*3*17*11+1*3*18*6+1*3*18*7+1*3*19*6+1*3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+Element template: element9
+Element: 202
+ Faces:
+ 1318 1319 1317 1320
+ Nodes:
+ 3 4 52
+ Scale factors:
+ -1.000000000000000e+00  5.000000000000000e-01  7.853981633974483e-01  9.409935282910185e-01  1.072945787145280e-01
+  5.900647170898159e-02 -1.859464471010425e-02 -7.553353405477932e-01  4.746259240126981e-01  7.553353405477932e-01
+ -2.299612645604913e-01 -7.033789829897708e-02 -1.415269028746099e-01 -2.397004024507342e-03 -4.974988728261113e-02
+ -1.339738816655017e-01 -1.500654591413667e-01  5.786399528838047e-03  1.558247562134327e-02  6.602288937576237e-03
+  4.689892127361018e-01 -1.751910166971277e-01
+Define element template: element10
+Shape. Dimension=2, line*line
+#Scale factor sets=1
+  scaling1, #Scale factors=22, identifiers="global_general(1,2,3) element_general(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)"
+#Nodes=3
+#Fields=3
+1) coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+2) straight coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+3) vagus coordinates, coordinate, rectangular cartesian, real, #Components=3
+ 1. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+ 2. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+ 3. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*17*8+5+1*2*17*9+12*4+1*2*18*4+12*5+1*2*18*5+13*4+1*2*19*4+13*5+1*2*19*5+6+1*2*17*10+7+1*2*17*11+12*6+1*2*18*6+12*7+1*2*18*7+13*6+1*2*19*6+13*7+1*2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 1*3*20*8+1*3*20*9+1*3*21*4+1*3*21*5+1*3*22*4+1*3*22*5+1*3*20*10+1*3*20*11+1*3*21*6+1*3*21*7+1*3*22*6+1*3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 1*3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+Element template: element10
+Element: 203
+ Faces:
+ 1321 1322 1320 1323
+ Nodes:
+ 3 4 52
+ Scale factors:
+ -1.000000000000000e+00  5.000000000000000e-01  7.853981633974483e-01  9.409935282910185e-01  1.072945787145280e-01
+  5.900647170898159e-02 -1.859464471010425e-02 -7.553353405477932e-01  4.746259240126981e-01  7.553353405477932e-01
+ -2.299612645604913e-01 -7.033789829897708e-02 -1.415269028746099e-01 -2.397004024507342e-03 -4.974988728261113e-02
+ -1.339738816655017e-01 -1.500654591413667e-01  5.786399528838047e-03  1.558247562134327e-02  6.602288937576237e-03
+  4.689892127361018e-01 -1.751910166971277e-01
+Define element template: element11
+Shape. Dimension=2, line*line
+#Scale factor sets=1
+  scaling1, #Scale factors=22, identifiers="global_general(1,2,3) element_general(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)"
+#Nodes=3
+#Fields=3
+1) coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+2) straight coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+ y. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+ z. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+3) vagus coordinates, coordinate, rectangular cartesian, real, #Components=3
+ 1. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+ 2. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+ 3. c.HermiteSerendipity(2)*c.HermiteSerendipity, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+1*2*20*8+5+1*2*20*9+12*4+1*2*21*4+12*5+1*2*21*5+13*4+1*2*22*4+13*5+1*2*22*5+6+1*2*20*10+7+1*2*20*11+12*6+1*2*21*6+12*7+1*2*21*7+13*6+1*2*22*6+13*7+1*2*22*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*17*8+3*17*9+3*18*4+3*18*5+3*19*4+3*19*5+3*17*10+3*17*11+3*18*6+3*18*7+3*19*6+3*19*7
+  3+3. #Values=2
+   Value labels: value+d/ds3 d/ds1+d2/ds1ds3
+   Scale factor indices: 0+1*2 0+1*2
+  3. #Values=1
+   Value labels: d/ds2
+   Scale factor indices: 3
+  1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+value+value+d/ds1+d/ds1+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 4+2*17*8+5+2*17*9+12*4+2*18*4+12*5+2*18*5+13*4+2*19*4+13*5+2*19*5+6+2*17*10+7+2*17*11+12*6+2*18*6+12*7+2*18*7+13*6+2*19*6+13*7+2*19*7
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=2
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3 value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 14*8+14*9+15*4+15*5+16*4+16*5+14*10+14*11+15*6+15*7+16*6+16*7 3*20*8+3*20*9+3*21*4+3*21*5+3*22*4+3*22*5+3*20*10+3*20*11+3*21*6+3*21*7+3*22*6+3*22*7
+  3+3. #Values=2
+   Value labels: value+d/ds2 d/ds1+d2/ds1ds2
+   Scale factor indices: 0+2 0+2
+  3. #Values=1
+   Value labels: d/ds3
+   Scale factor indices: 3
+Element template: element11
+Element: 204
+ Faces:
+ 1324 1325 1323 1316
+ Nodes:
+ 3 4 52
+ Scale factors:
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+  5.900647170898159e-02 -1.859464471010425e-02 -7.553353405477932e-01  4.746259240126981e-01  7.553353405477932e-01
+ -2.299612645604913e-01 -7.033789829897708e-02 -1.415269028746099e-01 -2.397004024507342e-03 -4.974988728261113e-02
+ -1.339738816655017e-01 -1.500654591413667e-01  5.786399528838047e-03  1.558247562134327e-02  6.602288937576237e-03
+  4.689892127361018e-01 -1.751910166971277e-01
+Element template: element8
+Element: 205
+ Faces:
+ 1326 1327 1328 1329
+ Nodes:
+ 6 7 53
+ Scale factors:
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+  6.059227830044851e-01 -1.398870374845990e-01 -1.469673596664213e+00 -3.059311058114291e-01  1.469673596664213e+00
+ -1.637424908527840e-01 -3.005076713844331e-01  2.737662784439610e-02  3.079542088753174e-02 -2.721382138422838e-01
+ -2.196552711221803e-02 -1.411404227007691e-01 -1.154113118294038e-01 -9.315377885571793e-03 -9.947284172304437e-03
+  4.621511225787076e-02 -4.972461649128354e-01
+Element template: element9
+Element: 206
+ Faces:
+ 1330 1331 1329 1332
+ Nodes:
+ 6 7 53
+ Scale factors:
+ -1.000000000000000e+00  5.000000000000000e-01  7.853981633974483e-01  3.940772169955149e-01  1.050585619594365e-01
+  6.059227830044851e-01 -1.398870374845990e-01 -1.469673596664213e+00 -3.059311058114291e-01  1.469673596664213e+00
+ -1.637424908527840e-01 -3.005076713844331e-01  2.737662784439610e-02  3.079542088753174e-02 -2.721382138422838e-01
+ -2.196552711221803e-02 -1.411404227007691e-01 -1.154113118294038e-01 -9.315377885571793e-03 -9.947284172304437e-03
+  4.621511225787076e-02 -4.972461649128354e-01
+Element template: element10
+Element: 207
+ Faces:
+ 1333 1334 1332 1335
+ Nodes:
+ 6 7 53
+ Scale factors:
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+  6.059227830044851e-01 -1.398870374845990e-01 -1.469673596664213e+00 -3.059311058114291e-01  1.469673596664213e+00
+ -1.637424908527840e-01 -3.005076713844331e-01  2.737662784439610e-02  3.079542088753174e-02 -2.721382138422838e-01
+ -2.196552711221803e-02 -1.411404227007691e-01 -1.154113118294038e-01 -9.315377885571793e-03 -9.947284172304437e-03
+  4.621511225787076e-02 -4.972461649128354e-01
+Element template: element11
+Element: 208
+ Faces:
+ 1336 1337 1335 1328
+ Nodes:
+ 6 7 53
+ Scale factors:
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+  6.059227830044851e-01 -1.398870374845990e-01 -1.469673596664213e+00 -3.059311058114291e-01  1.469673596664213e+00
+ -1.637424908527840e-01 -3.005076713844331e-01  2.737662784439610e-02  3.079542088753174e-02 -2.721382138422838e-01
+ -2.196552711221803e-02 -1.411404227007691e-01 -1.154113118294038e-01 -9.315377885571793e-03 -9.947284172304437e-03
+  4.621511225787076e-02 -4.972461649128354e-01
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+ x. c.Hermite*l.Lagrange*l.Lagrange, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
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+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+0+1 0+0+1
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
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+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+1+0 0+1+0
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+15*6+18*6+3+15*7+18*7+10*2+16*2+19*2+10*3+16*3+19*3+11*2+17*2+20*2+11*3+17*3+20*3+4+15*8+18*8+5+15*9+18*9+10*4+16*4+19*4+10*5+16*5+19*5+11*4+17*4+20*4+11*5+17*5+20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+0+0 0+0+0
+ z. c.Hermite*l.Lagrange*l.Lagrange, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+1*15*6+1*18*6+3+1*15*7+1*18*7+10*2+1*16*2+1*19*2+10*3+1*16*3+1*19*3+11*2+1*17*2+1*20*2+11*3+1*17*3+1*20*3+4+1*15*8+1*18*8+5+1*15*9+1*18*9+10*4+1*16*4+1*19*4+10*5+1*16*5+1*19*5+11*4+1*17*4+1*20*4+11*5+1*17*5+1*20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+1+1 0+1+1
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+15*6+1*18*6+3+15*7+1*18*7+10*2+16*2+1*19*2+10*3+16*3+1*19*3+11*2+17*2+1*20*2+11*3+17*3+1*20*3+4+15*8+1*18*8+5+15*9+1*18*9+10*4+16*4+1*19*4+10*5+16*5+1*19*5+11*4+17*4+1*20*4+11*5+17*5+1*20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+0+1 0+0+1
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+1*15*6+18*6+3+1*15*7+18*7+10*2+1*16*2+19*2+10*3+1*16*3+19*3+11*2+1*17*2+20*2+11*3+1*17*3+20*3+4+1*15*8+18*8+5+1*15*9+18*9+10*4+1*16*4+19*4+10*5+1*16*5+19*5+11*4+1*17*4+20*4+11*5+1*17*5+20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+1+0 0+1+0
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+15*6+18*6+3+15*7+18*7+10*2+16*2+19*2+10*3+16*3+19*3+11*2+17*2+20*2+11*3+17*3+20*3+4+15*8+18*8+5+15*9+18*9+10*4+16*4+19*4+10*5+16*5+19*5+11*4+17*4+20*4+11*5+17*5+20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+0+0 0+0+0
+2) straight coordinates, coordinate, rectangular cartesian, real, #Components=3
+ x. c.Hermite*l.Lagrange*l.Lagrange, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+1*15*6+1*18*6+3+1*15*7+1*18*7+10*2+1*16*2+1*19*2+10*3+1*16*3+1*19*3+11*2+1*17*2+1*20*2+11*3+1*17*3+1*20*3+4+1*15*8+1*18*8+5+1*15*9+1*18*9+10*4+1*16*4+1*19*4+10*5+1*16*5+1*19*5+11*4+1*17*4+1*20*4+11*5+1*17*5+1*20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+1+1 0+1+1
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+15*6+1*18*6+3+15*7+1*18*7+10*2+16*2+1*19*2+10*3+16*3+1*19*3+11*2+17*2+1*20*2+11*3+17*3+1*20*3+4+15*8+1*18*8+5+15*9+1*18*9+10*4+16*4+1*19*4+10*5+16*5+1*19*5+11*4+17*4+1*20*4+11*5+17*5+1*20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+0+1 0+0+1
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+1*15*6+18*6+3+1*15*7+18*7+10*2+1*16*2+19*2+10*3+1*16*3+19*3+11*2+1*17*2+20*2+11*3+1*17*3+20*3+4+1*15*8+18*8+5+1*15*9+18*9+10*4+1*16*4+19*4+10*5+1*16*5+19*5+11*4+1*17*4+20*4+11*5+1*17*5+20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+1+0 0+1+0
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+15*6+18*6+3+15*7+18*7+10*2+16*2+19*2+10*3+16*3+19*3+11*2+17*2+20*2+11*3+17*3+20*3+4+15*8+18*8+5+15*9+18*9+10*4+16*4+19*4+10*5+16*5+19*5+11*4+17*4+20*4+11*5+17*5+20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+0+0 0+0+0
+ y. c.Hermite*l.Lagrange*l.Lagrange, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+1*15*6+1*18*6+3+1*15*7+1*18*7+10*2+1*16*2+1*19*2+10*3+1*16*3+1*19*3+11*2+1*17*2+1*20*2+11*3+1*17*3+1*20*3+4+1*15*8+1*18*8+5+1*15*9+1*18*9+10*4+1*16*4+1*19*4+10*5+1*16*5+1*19*5+11*4+1*17*4+1*20*4+11*5+1*17*5+1*20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+1+1 0+1+1
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+15*6+1*18*6+3+15*7+1*18*7+10*2+16*2+1*19*2+10*3+16*3+1*19*3+11*2+17*2+1*20*2+11*3+17*3+1*20*3+4+15*8+1*18*8+5+15*9+1*18*9+10*4+16*4+1*19*4+10*5+16*5+1*19*5+11*4+17*4+1*20*4+11*5+17*5+1*20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+0+1 0+0+1
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+1*15*6+18*6+3+1*15*7+18*7+10*2+1*16*2+19*2+10*3+1*16*3+19*3+11*2+1*17*2+20*2+11*3+1*17*3+20*3+4+1*15*8+18*8+5+1*15*9+18*9+10*4+1*16*4+19*4+10*5+1*16*5+19*5+11*4+1*17*4+20*4+11*5+1*17*5+20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+1+0 0+1+0
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+15*6+18*6+3+15*7+18*7+10*2+16*2+19*2+10*3+16*3+19*3+11*2+17*2+20*2+11*3+17*3+20*3+4+15*8+18*8+5+15*9+18*9+10*4+16*4+19*4+10*5+16*5+19*5+11*4+17*4+20*4+11*5+17*5+20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+0+0 0+0+0
+ z. c.Hermite*l.Lagrange*l.Lagrange, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+1*15*6+1*18*6+3+1*15*7+1*18*7+10*2+1*16*2+1*19*2+10*3+1*16*3+1*19*3+11*2+1*17*2+1*20*2+11*3+1*17*3+1*20*3+4+1*15*8+1*18*8+5+1*15*9+1*18*9+10*4+1*16*4+1*19*4+10*5+1*16*5+1*19*5+11*4+1*17*4+1*20*4+11*5+1*17*5+1*20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+1+1 0+1+1
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+15*6+1*18*6+3+15*7+1*18*7+10*2+16*2+1*19*2+10*3+16*3+1*19*3+11*2+17*2+1*20*2+11*3+17*3+1*20*3+4+15*8+1*18*8+5+15*9+1*18*9+10*4+16*4+1*19*4+10*5+16*5+1*19*5+11*4+17*4+1*20*4+11*5+17*5+1*20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+0+1 0+0+1
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+1*15*6+18*6+3+1*15*7+18*7+10*2+1*16*2+19*2+10*3+1*16*3+19*3+11*2+1*17*2+20*2+11*3+1*17*3+20*3+4+1*15*8+18*8+5+1*15*9+18*9+10*4+1*16*4+19*4+10*5+1*16*5+19*5+11*4+1*17*4+20*4+11*5+1*17*5+20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+1+0 0+1+0
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+15*6+18*6+3+15*7+18*7+10*2+16*2+19*2+10*3+16*3+19*3+11*2+17*2+20*2+11*3+17*3+20*3+4+15*8+18*8+5+15*9+18*9+10*4+16*4+19*4+10*5+16*5+19*5+11*4+17*4+20*4+11*5+17*5+20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+0+0 0+0+0
+3) vagus coordinates, coordinate, rectangular cartesian, real, #Components=3
+ 1. c.Hermite*l.Lagrange*l.Lagrange, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+1*15*6+1*18*6+3+1*15*7+1*18*7+10*2+1*16*2+1*19*2+10*3+1*16*3+1*19*3+11*2+1*17*2+1*20*2+11*3+1*17*3+1*20*3+4+1*15*8+1*18*8+5+1*15*9+1*18*9+10*4+1*16*4+1*19*4+10*5+1*16*5+1*19*5+11*4+1*17*4+1*20*4+11*5+1*17*5+1*20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+1+1 0+1+1
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+15*6+1*18*6+3+15*7+1*18*7+10*2+16*2+1*19*2+10*3+16*3+1*19*3+11*2+17*2+1*20*2+11*3+17*3+1*20*3+4+15*8+1*18*8+5+15*9+1*18*9+10*4+16*4+1*19*4+10*5+16*5+1*19*5+11*4+17*4+1*20*4+11*5+17*5+1*20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+0+1 0+0+1
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+1*15*6+18*6+3+1*15*7+18*7+10*2+1*16*2+19*2+10*3+1*16*3+19*3+11*2+1*17*2+20*2+11*3+1*17*3+20*3+4+1*15*8+18*8+5+1*15*9+18*9+10*4+1*16*4+19*4+10*5+1*16*5+19*5+11*4+1*17*4+20*4+11*5+1*17*5+20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+1+0 0+1+0
+  1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2+2. #Values=1
+   Value labels: value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3+value+value+value+d/ds1+d/ds1+d/ds1+d/ds2+d/ds2+d/ds2+d2/ds1ds2+d2/ds1ds2+d2/ds1ds2+d/ds3+d/ds3+d/ds3+d2/ds1ds3+d2/ds1ds3+d2/ds1ds3
+   Scale factor indices: 2+15*6+18*6+3+15*7+18*7+10*2+16*2+19*2+10*3+16*3+19*3+11*2+17*2+20*2+11*3+17*3+20*3+4+15*8+18*8+5+15*9+18*9+10*4+16*4+19*4+10*5+16*5+19*5+11*4+17*4+20*4+11*5+17*5+20*5
+  1+1+1+1+1+1+2+2+2+2+2+2. #Values=1
+   Value labels: value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3+value+d/ds1+d/ds2+d2/ds1ds2+d/ds3+d2/ds1ds3
+   Scale factor indices: 12*6+12*7+13*2+13*3+14*2+14*3+12*8+12*9+13*4+13*5+14*4+14*5
+  3+3+3. #Values=2
+   Value labels: value+d/ds2+d/ds3 d/ds1+d2/ds1ds2+d2/ds1ds3
+   Scale factor indices: 0+0+0 0+0+0
+ 2. c.Hermite*l.Lagrange*l.Lagrange, no modify, standard node based. scale factor set=scaling1
+  #Nodes=3
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+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+209..212,604..609
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+53
+Group name: cardiovascular/cardiopulmonary branch of right thoracic vagus nerve
+!#nodeset nodes
+Node group:
+18..19,55
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+54,526..537,1350..1361
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+213..216,610..615
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+54
+Group name: epineurium
+!#nodeset nodes
+Node group:
+1..86
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+910..1733
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+1..340
+Group name: marker
+!#nodeset nodes
+Node group:
+10001..10008
+Group name: orientation anterior
+!#nodeset nodes
+Node group:
+1..51
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+913,924,932,940,948,956,964,972,980,988,
+996,1004,1012,1020,1028,1036,1044,1052,1060,1068,
+1076,1084,1092,1100,1108,1116,1124,1132,1140,1148,
+1156,1164,1172,1180,1188,1196,1204,1212,1220,1228,
+1236,1244,1252,1260,1268,1276,1284,1292,1300,1308
+Group name: right A branch of cervical vagus nerve to sympathetic chain, cardiovascular, and pulmonary structures
+!#nodeset nodes
+Node group:
+8..9,56
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+55,538..549,1362..1373
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+217..220,616..621
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+55
+Group name: right A branch of thoracic vagus nerve to esophageal plexus
+!#nodeset nodes
+Node group:
+22..23,57
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+56,550..561,1374..1385
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+221..224,622..627
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+56
+Group name: right A cardiovascular branch of cervical vagus nerve
+!#nodeset nodes
+Node group:
+13..14,58
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+57,562..573,1386..1397
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+225..228,628..633
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+57
+Group name: right A cardiovascular branch of cranial nerve bundle
+!#nodeset nodes
+Node group:
+3..4,59
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+58,574..585,1398..1409
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+229..232,634..639
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+58
+Group name: right A lateral pulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+23..24,60
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+59,586..597,1410..1421
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+233..236,640..645
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+59
+Group name: right A medial pulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+21..22,61
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+60,598..609,1422..1433
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+237..240,646..651
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+60
+Group name: right A thoracic cardiopulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+20..21,62
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+61,610..621,1434..1445
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+241..244,652..657
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+61
+Group name: right B branch of thoracic vagus nerve to esophageal plexus
+!#nodeset nodes
+Node group:
+25..26,63
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+62,622..633,1446..1457
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+245..248,658..663
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+62
+Group name: right B cardiovascular branch of cranial nerve bundle
+!#nodeset nodes
+Node group:
+2..3,64
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+63,634..645,1458..1469
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+249..252,664..669
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+63
+Group name: right B lateral pulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+24..25,65
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+64,646..657,1470..1481
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+253..256,670..675
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+64
+Group name: right B medial pulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+21..22,66
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+65,658..669,1482..1493
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+257..260,676..681
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+65
+Group name: right B thoracic cardiopulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+21..22,67
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+66,670..681,1494..1505
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+261..264,682..687
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+66
+Group name: right C branch of thoracic vagus nerve to esophageal plexus
+!#nodeset nodes
+Node group:
+25..26,68
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+67,682..693,1506..1517
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+265..268,688..693
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+67
+Group name: right C lateral pulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+24..25,69
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+68,694..705,1518..1529
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+269..272,694..699
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+68
+Group name: right C medial pulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+22..23,70
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+69,706..717,1530..1541
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+273..276,700..705
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+69
+Group name: right C thoracic cardiopulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+21..22,71
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+70,718..729,1542..1553
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+277..280,706..711
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+70
+Group name: right D branch of thoracic vagus nerve to esophageal plexus
+!#nodeset nodes
+Node group:
+25..26,72
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+71,730..741,1554..1565
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+281..284,712..717
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+71
+Group name: right D lateral pulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+25..26,73
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+72,742..753,1566..1577
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+285..288,718..723
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+72
+Group name: right D medial pulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+22..23,74
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+73,754..765,1578..1589
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+289..292,724..729
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+73
+Group name: right E branch of thoracic vagus nerve to esophageal plexus
+!#nodeset nodes
+Node group:
+26..27,75
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+74,766..777,1590..1601
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+293..296,730..735
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+74
+Group name: right F branch of thoracic vagus nerve to esophageal plexus
+!#nodeset nodes
+Node group:
+28..29,76
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+75,778..789,1602..1613
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+297..300,736..741
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+75
+Group name: right G branch of thoracic vagus nerve to esophageal plexus
+!#nodeset nodes
+Node group:
+34..35,77
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+76,790..801,1614..1625
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+301..304,742..747
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+76
+Group name: right H branch of thoracic vagus nerve to esophageal plexus
+!#nodeset nodes
+Node group:
+34..35,78
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+77,802..813,1626..1637
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+305..308,748..753
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+77
+Group name: right I branch of thoracic vagus nerve to esophageal plexus
+!#nodeset nodes
+Node group:
+36..37,79
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+78,814..825,1638..1649
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+309..312,754..759
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+78
+Group name: right J branch of thoracic vagus nerve to esophageal plexus
+!#nodeset nodes
+Node group:
+36..37,80
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+79,826..837,1650..1661
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+313..316,760..765
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+79
+Group name: right branch between cranial nerve bundle and superior cervical ganglion
+!#nodeset nodes
+Node group:
+4..5,81
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+80,838..849,1662..1673
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+317..320,766..771
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+80
+Group name: right branch between of thoracic vagus nerve and esophagus plexus
+!#nodeset nodes
+Node group:
+22..23,25..29,34..37,57,63,68,72,
+75..80
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+56,62,67,71,74..79,550..561,622..633,
+682..693,730..741,766..837,1374..1385,1446..1457,
+1506..1517,1554..1565,1590..1661
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+221..224,245..248,265..268,281..284,293..316,
+622..627,658..663,688..693,712..717,730..765
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+56,62,67,71,74..79
+Group name: right branch of cervical vagus nerve to sympathetic chain, cardiovascular, and pulmonary structures
+!#nodeset nodes
+Node group:
+8..9,56
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+55,538..549,1362..1373
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+217..220,616..621
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+55
+Group name: right cardiovascular branch of cervical vagus nerve
+!#nodeset nodes
+Node group:
+13..14,58
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+57,562..573,1386..1397
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+225..228,628..633
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+57
+Group name: right cardiovascular branch of cranial nerve bundle
+!#nodeset nodes
+Node group:
+2..4,59,64
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+58,63,574..585,634..645,1398..1409,1458..1469
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+229..232,249..252,634..639,664..669
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+58,63
+Group name: right cervical vagus nerve
+!#nodeset nodes
+Node group:
+1..18
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+1..17,86..225,910..1049
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+1..68,341..426
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+1..17
+Group name: right cranial nerve bundle to cervical spinal nerve
+!#nodeset nodes
+Node group:
+3..4,82
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+81,850..861,1674..1685
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+321..324,772..777
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+81
+Group name: right lateral pulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+23..26,60,65,69,73
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+59,64,68,72,586..597,646..657,694..705,
+742..753,1410..1421,1470..1481,1518..1529,1566..1577
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+233..236,253..256,269..272,285..288,640..645,
+670..675,694..699,718..723
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+59,64,68,72
+Group name: right medial pulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+21..23,61,66,70,74
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+60,65,69,73,598..609,658..669,706..717,
+754..765,1422..1433,1482..1493,1530..1541,1578..1589
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+237..240,257..260,273..276,289..292,646..651,
+676..681,700..705,724..729
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+60,65,69,73
+Group name: right pharyngeal branch of cranial nerve bundle
+!#nodeset nodes
+Node group:
+5..6,83
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+82,862..873,1686..1697
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+325..328,778..783
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+82
+Group name: right recurrent laryngeal nerve
+!#nodeset nodes
+Node group:
+17..18,84
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+83,874..885,1698..1709
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+329..332,784..789
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+83
+Group name: right superior laryngeal nerve
+!#nodeset nodes
+Node group:
+3..4,85
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+84,886..897,1710..1721
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+333..336,790..795
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+84
+Group name: right thoracic cardiopulmonary branch of vagus nerve
+!#nodeset nodes
+Node group:
+20..22,62,67,71
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+61,66,70,610..621,670..681,718..729,1434..1445,
+1494..1505,1542..1553
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+241..244,261..264,277..280,652..657,682..687,
+706..711
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+61,66,70
+Group name: right thoracic vagus nerve
+!#nodeset nodes
+Node group:
+18..51
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+18..50,218..221,226..489,1042,1045,1047,1049..1313
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+69..200,422,427..591
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+18..50
+Group name: right unknown branch of vagus nerve
+!#nodeset nodes
+Node group:
+8..9,86
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+85,898..909,1722..1733
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+337..340,796..801
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+85
+Group name: right vagus nerve
+!#nodeset nodes
+Node group:
+1..51
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+1..50,86..489,910..1313
+!#mesh mesh2d, dimension=2, face mesh=mesh1d, nodeset=nodes
+Element group:
+1..200,341..591
+!#mesh mesh3d, dimension=3, face mesh=mesh2d, nodeset=nodes
+Element group:
+1..50
+Group name: vagus centroid
+!#nodeset nodes
+Node group:
+1..86
+!#mesh mesh1d, dimension=1, nodeset=nodes
+Element group:
+1..85
diff --git a/tests/test_flatmapsvg.py b/tests/test_flatmapsvg.py
index 6a7af27..55a630a 100644
--- a/tests/test_flatmapsvg.py
+++ b/tests/test_flatmapsvg.py
@@ -7,6 +7,7 @@
 
 from cmlibs.exporter import flatmapsvg
 from cmlibs.exporter.flatmapsvg import _connected_segments, _write_into_svg_format, _calculate_view_box
+from cmlibs.exporter.utils.continuity import find_continuous_segments
 
 here = os.path.abspath(os.path.dirname(__file__))
 
@@ -39,7 +40,7 @@ def test_flatmap_svg(self):
         tree = ET.parse(flatmap_svg_file)
         root = tree.getroot()
 
-        self.assertEqual(20, len(root))
+        self.assertEqual(8, len(root))
 
         with open(properties_file) as f:
             content = json.load(f)
@@ -56,7 +57,7 @@ def test_write_svg_outline(self):
             [([-10.0, 0.0], [-7.5, 2.5], [-2.5, 2.5], [0.0, 0.0]),
              ([0.0, 0.0], [2.5, -2.5], [7.5, -2.5], [10.0, 0.0])]]
         }
-        svg_string = _write_into_svg_format(values, [], [])
+        svg_string = _write_into_svg_format(values, {}, [], {})
         self.assertTrue(len(svg_string) > 0)
 
         view_box = _calculate_view_box(svg_string)
@@ -69,6 +70,41 @@ def test_write_svg_outline(self):
 
         os.remove(simple_svg_file)
 
+    def test_flatmap_svg_user_mesh(self):
+        source_model = _resource_path("user-projected-mesh.exf")
+        source_annotations = _resource_path("user-projected-annotations.json")
+        output_target = _resource_path("")
+
+        exporter = flatmapsvg.ArgonSceneExporter(output_target=output_target, output_prefix="vagus")
+        exporter.set_annotations_json_file(source_annotations)
+
+        c = Context('generate_flatmap_svg')
+        root_region = c.getDefaultRegion()
+        root_region.readFile(source_model)
+
+        exporter.export_from_scene(root_region.getScene())
+        flatmap_svg_file = _resource_path("vagus.svg")
+        self.assertTrue(os.path.isfile(flatmap_svg_file))
+        properties_file = _resource_path("properties.json")
+        self.assertTrue(os.path.isfile(properties_file))
+
+        tree = ET.parse(flatmap_svg_file)
+        root = tree.getroot()
+
+        self.assertEqual(92, len(root))
+
+        with open(properties_file) as f:
+            content = json.load(f)
+
+        self.assertTrue('features' in content)
+        self.assertTrue('nerve_feature_02' in content['features'])
+        self.assertTrue('label' in content['features']['nerve_feature_02'])
+        self.assertIn('Right spinal accessory nerve', content['features']['nerve_feature_02']['label'])
+        self.assertIn('ILX:345678', content['features']['nerve_feature_02']['label'])
+
+        os.remove(flatmap_svg_file)
+        os.remove(properties_file)
+
 
 def _define_test_points():
     p1 = [-38.76407990290047, 136.95711038948954]
@@ -137,3 +173,15 @@ def test_real_data_fork(self):
         c1 = [[p1, NULL, NULL, p2], [p2, NULL, NULL, p3], [p3, NULL, NULL, p4], [p4, NULL, NULL, p5], [p3, NULL, NULL, p6], [p6, NULL, NULL, p7]]
 
         self.assertEqual(2, len(_connected_segments(c1)))
+
+
+class ContinuityTests(unittest.TestCase):
+
+    def test_continuous_segments(self):
+        partition_info = {'r1': [0, 1, 2, 3], 'r2': [4, 5, 6, 7], 'r3': [8, 9, 5, 6]}
+        connected_segments_index = [[0, 1, 2, 3], [4, 5, 6, 7]]
+        continuous_segments = find_continuous_segments(partition_info, connected_segments_index)
+
+        self.assertEqual(2, len(continuous_segments))
+        self.assertEqual(partition_info['r1'], continuous_segments['r1'])
+        self.assertEqual(partition_info['r2'], continuous_segments['r2'])