Repository: mikedh/trimesh

Issue:
Export OBJ file, but cannot get the MTL file
Hey, I am trying to export a colored mesh to an obj file with 

with open('test.obj', 'w', encoding='utf-8') as f:
    scene.export(f, file_type='obj')

In this way, there is no MTL file generated. I am wondering how can I export the MTL file to show the color? Any suggestion is welcomed. Thanks a lot!

Discussion:

Patch:
diff --git a/models/ico4.mtl b/models/ico4.mtl
new file mode 100644
index 00000000..70d3ba1d
--- /dev/null
+++ b/models/ico4.mtl
@@ -0,0 +1,10 @@
+# Blender MTL File: 'None'
+# Material Count: 1
+
+newmtl None
+Ns 0
+Ka 0.000000 0.000000 0.000000
+Kd 0.8 0.8 0.8
+Ks 0.8 0.8 0.8
+d 1
+illum 2
diff --git a/models/ico4.obj b/models/ico4.obj
new file mode 100644
index 00000000..2b87e5df
--- /dev/null
+++ b/models/ico4.obj
@@ -0,0 +1,3208 @@
+# Blender v2.79 (sub 0) OBJ File: ''
+# www.blender.org
+mtllib ico4.mtl
+o Icosphere_Icosphere.001
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diff --git a/models/ico4uv.mtl b/models/ico4uv.mtl
new file mode 100644
index 00000000..70d3ba1d
--- /dev/null
+++ b/models/ico4uv.mtl
@@ -0,0 +1,10 @@
+# Blender MTL File: 'None'
+# Material Count: 1
+
+newmtl None
+Ns 0
+Ka 0.000000 0.000000 0.000000
+Kd 0.8 0.8 0.8
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diff --git a/models/ico4uv.obj b/models/ico4uv.obj
new file mode 100644
index 00000000..5602da47
--- /dev/null
+++ b/models/ico4uv.obj
@@ -0,0 +1,3937 @@
+# Blender v2.79 (sub 0) OBJ File: ''
+# www.blender.org
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+f 629/712/1249 634/716/1249 630/713/1249
+f 634/716/1250 635/717/1250 630/713/1250
+f 630/713/1251 635/717/1251 631/714/1251
+f 635/717/1252 636/718/1252 631/714/1252
+f 631/714/1253 636/718/1253 29/533/1253
+f 636/718/1254 28/534/1254 29/533/1254
+f 18/706/1255 637/708/1255 632/707/1255
+f 637/708/1256 638/719/1256 632/707/1256
+f 632/707/1257 638/719/1257 633/715/1257
+f 638/719/1258 639/720/1258 633/715/1258
+f 633/715/1259 639/720/1259 634/716/1259
+f 639/720/1260 640/721/1260 634/716/1260
+f 634/716/1261 640/721/1261 635/717/1261
+f 640/721/1262 641/722/1262 635/717/1262
+f 635/717/1263 641/722/1263 636/718/1263
+f 641/722/1264 642/723/1264 636/718/1264
+f 636/718/1265 642/723/1265 28/534/1265
+f 642/723/1266 27/535/1266 28/534/1266
+f 19/3/1267 20/2/1267 637/708/1267
+f 20/2/1268 21/724/1268 637/708/1268
+f 637/708/1269 21/724/1269 638/719/1269
+f 21/724/1270 22/725/1270 638/719/1270
+f 638/719/1271 22/725/1271 639/720/1271
+f 22/725/1272 23/726/1272 639/720/1272
+f 639/720/1273 23/726/1273 640/721/1273
+f 23/726/1274 24/727/1274 640/721/1274
+f 640/721/1275 24/727/1275 641/722/1275
+f 24/727/1276 25/728/1276 641/722/1276
+f 641/722/1277 25/728/1277 642/723/1277
+f 25/728/1278 26/729/1278 642/723/1278
+f 642/723/1279 26/729/1279 27/535/1279
+f 26/729/1280 2/4/1280 27/535/1280
diff --git a/trimesh/exchange/obj.py b/trimesh/exchange/obj.py
index 34a793dc..59da6fe5 100644
--- a/trimesh/exchange/obj.py
+++ b/trimesh/exchange/obj.py
@@ -24,6 +24,7 @@ def load_obj(file_obj,
              split_object=False,
              group_material=True,
              skip_materials=False,
+             maintain_order=False,
              **kwargs):
     """
     Load a Wavefront OBJ file into kwargs for a trimesh.Scene
@@ -43,6 +44,9 @@ def load_obj(file_obj,
       into the same mesh.
     skip_materials : bool
       Don't load any materials.
+    maintain_order : bool or None
+      Do not reorder faces or vertices which may result
+      in visual artifacts.
 
     Returns
     -------------
@@ -50,7 +54,6 @@ def load_obj(file_obj,
       Keyword arguments which can be loaded by
       trimesh.exchange.load.load_kwargs into a trimesh.Scene
     """
-
     # get text as bytes or string blob
     text = file_obj.read()
 
@@ -159,10 +162,12 @@ def load_obj(file_obj,
             # where each face
             if faces_norm is not None and len(faces_norm) == len(faces):
                 new_faces, mask_v, mask_vt, mask_vn = unmerge_faces(
-                    faces, faces_tex, faces_norm)
+                    faces, faces_tex, faces_norm, maintain_faces=maintain_order)
             else:
                 mask_vn = None
-                new_faces, mask_v, mask_vt = unmerge_faces(faces, faces_tex)
+                # no face normals but face texturre
+                new_faces, mask_v, mask_vt = unmerge_faces(
+                    faces, faces_tex, maintain_faces=maintain_order)
 
             if tol.strict:
                 # we should NOT have messed up the faces
@@ -194,7 +199,7 @@ def load_obj(file_obj,
             if vn is not None and np.shape(faces_norm) == faces.shape:
                 # do the crazy unmerging logic for split indices
                 new_faces, mask_v, mask_vn = unmerge_faces(
-                    faces, faces_norm)
+                    faces, faces_norm, maintain_faces=maintain_order)
             else:
                 # generate the mask so we only include
                 # referenced vertices in every new mesh
diff --git a/trimesh/exchange/ply.py b/trimesh/exchange/ply.py
index e5b7c0b4..179d8861 100644
--- a/trimesh/exchange/ply.py
+++ b/trimesh/exchange/ply.py
@@ -338,29 +338,15 @@ def export_ply(mesh,
         if hasattr(mesh, 'faces'):
             export += faces.tobytes()
     elif encoding == 'ascii':
+        export_data = util.structured_array_to_string(vertex,
+                                                      col_delim=' ',
+                                                      row_delim='\n')
         if hasattr(mesh, 'faces'):
-            # ply format is: (face count, v0, v1, v2)
-            fstack = np.column_stack(
-                (np.ones(len(mesh.faces), dtype=np.int64) * 3,
-                 mesh.faces))
-        else:
-            fstack = []
-
-        # if we're exporting vertex normals they get stacked
-        if vertex_normal:
-            vstack = np.column_stack((mesh.vertices,
-                                      mesh.vertex_normals))
-        else:
-            vstack = mesh.vertices
-
-        # add the string formatted vertices and faces
-        export += (util.array_to_string(vstack,
-                                        col_delim=' ',
-                                        row_delim='\n') +
-                   '\n' +
-                   util.array_to_string(fstack,
-                                        col_delim=' ',
-                                        row_delim='\n')).encode('utf-8')
+            export_data += '\n'
+            export_data += util.structured_array_to_string(faces,
+                                                           col_delim=' ',
+                                                           row_delim='\n')
+        export += export_data.encode('utf-8')
     else:
         raise ValueError('encoding must be ascii or binary!')
 
diff --git a/trimesh/resolvers.py b/trimesh/resolvers.py
index 8b6eb5fa..795dcbfd 100644
--- a/trimesh/resolvers.py
+++ b/trimesh/resolvers.py
@@ -53,15 +53,18 @@ class FilePathResolver(Resolver):
         """
         # remove everything other than absolute path
         clean = os.path.expanduser(os.path.abspath(str(source)))
-
         if os.path.isdir(clean):
+            # if we were passed a directory use it
             self.parent = clean
-        # get the parent directory of the
-        elif os.path.isfile(clean):
+        else:
+            # otherwise get the parent directory we've been passed
             split = os.path.split(clean)
             self.parent = split[0]
-        else:
-            raise ValueError('path not a file or directory!')
+
+        # exit if directory doesn't exist
+        if not os.path.isdir(self.parent):
+            raise ValueError('path `{} `not a directory!'.format(
+                self.parent))
 
     def get(self, name):
         """
diff --git a/trimesh/util.py b/trimesh/util.py
index 73175993..0864bdee 100644
--- a/trimesh/util.py
+++ b/trimesh/util.py
@@ -1131,10 +1131,15 @@ def array_to_string(array,
         raise ValueError('conversion only works on 1D/2D arrays not %s!',
                          str(array.shape))
 
+    # abort for structured arrays
+    if array.dtype.names is not None:
+        raise ValueError(
+            'array is  structured, use structured_array_to_string instead')
+
     # allow a value to be repeated in a value format
-    repeats = value_format.count('{}')
+    repeats = value_format.count('{')
 
-    if array.dtype.kind == 'i':
+    if array.dtype.kind in ['i', 'u']:
         # integer types don't need a specified precision
         format_str = value_format + col_delim
     elif array.dtype.kind == 'f':
@@ -1168,6 +1173,102 @@ def array_to_string(array,
     return formatted
 
 
+def structured_array_to_string(array,
+                               col_delim=' ',
+                               row_delim='\n',
+                               digits=8,
+                               value_format='{}'):
+    """
+    Convert an unstructured array into a string with a specified
+    number of digits and delimiter. The reason thisexists is
+    that the basic numpy array to string conversionsare
+    surprisingly bad.
+
+    Parameters
+    ------------
+    array : (n,) or (n, d) float or int
+       Data to be converted
+       If shape is (n,) only column delimiter will be used
+    col_delim : str
+      What string should separate values in a column
+    row_delim : str
+      What string should separate values in a row
+    digits : int
+      How many digits should floating point numbers include
+    value_format : str
+       Format string for each value or sequence of values
+       If multiple values per value_format it must divide
+       into array evenly.
+
+    Returns
+    ----------
+    formatted : str
+       String representation of original array
+    """
+    # convert inputs to correct types
+    array = np.asanyarray(array)
+    digits = int(digits)
+    row_delim = str(row_delim)
+    col_delim = str(col_delim)
+    value_format = str(value_format)
+
+    # abort for non-flat arrays
+    if len(array.shape) > 1:
+        raise ValueError('conversion only works on 1D/2D arrays not %s!',
+                         str(array.shape))
+
+    # abort for unstructured arrays
+    if array.dtype.names is None:
+        raise ValueError('array is not structured, use array_to_string instead')
+
+    # do not allow a value to be repeated in a value format
+    if value_format.count('{') > 1:
+        raise ValueError(
+            'value_format %s is invalid, repeating unstructured array '
+            + 'values is unsupported', value_format)
+
+    format_str = ''
+    for name in array.dtype.names:
+        kind = array[name].dtype.kind
+        element_row_length = (
+            array[name].shape[1] if len(array[name].shape) == 2 else 1)
+        if kind in ['i', 'u']:
+            # integer types don't need a specified precision
+            element_format_str = (value_format + col_delim)
+        elif kind == 'f':
+            # add the digits formatting to floats
+            element_format_str = value_format.replace(
+                '{}', '{:.' + str(digits) + 'f}') + col_delim
+        else:
+            raise ValueError('dtype %s not convertible!',
+                             array.dtype)
+        format_str += element_row_length * element_format_str
+
+    # length of extra delimiters at the end
+    format_str = format_str[:-len(col_delim)] + row_delim
+
+    # expand format string to whole array
+    format_str *= len(array)
+
+    # Flatten the array to a list as numpy array column type cannot be mixed
+    partially_flattened = [
+        item
+        for row in array for item in row
+    ]
+    flattened = []
+    for item in partially_flattened:
+        if isinstance(item, np.ndarray):
+            flattened.extend(item)
+        else:
+            flattened.append(item)
+
+    # run the format operation and remove the extra delimiters
+    end_junk = len(row_delim)
+    formatted = format_str.format(*flattened)[:-end_junk]
+
+    return formatted
+
+
 def array_to_encoded(array, dtype=None, encoding='base64'):
     """
     Export a numpy array to a compact serializable dictionary.
diff --git a/trimesh/version.py b/trimesh/version.py
index eb4c7bae..33c7b81a 100644
--- a/trimesh/version.py
+++ b/trimesh/version.py
@@ -1,1 +1,1 @@
-__version__ = '3.8.8'
+__version__ = '3.8.10'
diff --git a/trimesh/viewer/windowed.py b/trimesh/viewer/windowed.py
index afea9aa9..ea93b80e 100644
--- a/trimesh/viewer/windowed.py
+++ b/trimesh/viewer/windowed.py
@@ -42,6 +42,7 @@ class SceneViewer(pyglet.window.Window):
                  caption=None,
                  fixed=None,
                  offset_lines=True,
+                 line_settings=None,
                  background=None,
                  window_conf=None,
                  profile=False,
@@ -134,6 +135,15 @@ class SceneViewer(pyglet.window.Window):
         else:
             scene.camera.resolution = resolution
 
+        # set the default line settings to a fraction
+        # of our resolution so the points aren't tiny
+        scale = max(resolution)
+        self.line_settings = {'point_size': scale / 200,
+                              'line_width': scale / 400}
+        # if we've been passed line settings override the default
+        if line_settings is not None:
+            self.line_settings.update(line_settings)
+
         # no window conf was passed so try to get the best looking one
         if window_conf is None:
             try:
@@ -340,7 +350,7 @@ class SceneViewer(pyglet.window.Window):
         self._gl_enable_depth(self.scene.camera)
         self._gl_enable_color_material()
         self._gl_enable_blending()
-        self._gl_enable_smooth_lines()
+        self._gl_enable_smooth_lines(**self.line_settings)
         self._gl_enable_lighting(self.scene)
 
     @staticmethod
@@ -400,14 +410,14 @@ class SceneViewer(pyglet.window.Window):
                        gl.GL_ONE_MINUS_SRC_ALPHA)
 
     @staticmethod
-    def _gl_enable_smooth_lines():
+    def _gl_enable_smooth_lines(line_width=4, point_size=4):
         # make the lines from Path3D objects less ugly
         gl.glEnable(gl.GL_LINE_SMOOTH)
         gl.glHint(gl.GL_LINE_SMOOTH_HINT, gl.GL_NICEST)
         # set the width of lines to 4 pixels
-        gl.glLineWidth(4)
+        gl.glLineWidth(line_width)
         # set PointCloud markers to 4 pixels in size
-        gl.glPointSize(4)
+        gl.glPointSize(point_size)
 
     @staticmethod
     def _gl_enable_lighting(scene):
@@ -741,7 +751,7 @@ class SceneViewer(pyglet.window.Window):
             if self.view['axis'] == 'all':
                 self._axis.draw(mode=gl.GL_TRIANGLES)
             elif self.view['axis'] == 'without_world':
-                if count > 0:
+                if not util.allclose(transform, np.eye(4), atol=1e-5):
                     self._axis.draw(mode=gl.GL_TRIANGLES)
 
             # transparent things must be drawn last
diff --git a/trimesh/visual/texture.py b/trimesh/visual/texture.py
index 881caa3a..5a68ef7d 100644
--- a/trimesh/visual/texture.py
+++ b/trimesh/visual/texture.py
@@ -175,8 +175,12 @@ class TextureVisuals(Visuals):
             # DataStore will convert None to zero-length array
             if len(value) == 0:
                 continue
-            # store the update
-            updates[key] = value[mask]
+            try:
+                # store the update
+                updates[key] = value[mask]
+            except BaseException:
+                # usual reason is an incorrect size or index
+                util.log.warning('failed to update visual: `{}`'.format(key))
         # clear all values from the vertex attributes
         self.vertex_attributes.clear()
         # apply the updated values
@@ -209,7 +213,7 @@ class TextureVisuals(Visuals):
         return concatenate(self, others)
 
 
-def unmerge_faces(faces, *args):
+def unmerge_faces(faces, *args, **kwargs):
     """
     Textured meshes can come with faces referencing vertex
     indices (`v`) and an array the same shape which references
@@ -226,6 +230,8 @@ def unmerge_faces(faces, *args):
     *args : (n, d) int
       Various references of corresponding values
       This is usually UV coordinates or normal indexes
+    maintain_faces : bool
+      Do not alter original faces and return no-op masks.
 
     Returns
     -------------
@@ -237,12 +243,42 @@ def unmerge_faces(faces, *args):
       A mask to apply to vt array to get matching UV coordinates
       Returns as many of these as args were passed
     """
+    # unfortunately Python2 doesn't let us put named kwargs
+    # after an `*args` sequence so we have to do this ugly get
+    maintain_faces = kwargs.get('maintain_faces', False)
+
+    # don't alter faces
+    if maintain_faces:
+        # start with not altering faces at all
+        result = [faces]
+        # find the maximum index referenced by faces
+        max_idx = faces.max()
+        # add a vertex mask which is just ordered
+        result.append(np.arange(max_idx + 1))
+
+        # now given the order is fixed do our best on the rest of the order
+        for arg in args:
+            # create a mask of the attribute-vertex mapping
+            # note that these might conflict since we're not unmerging
+            masks = np.zeros((3, max_idx + 1), dtype=np.int64)
+            # set the mask using the unmodified face indexes
+            for i, f, a in zip(range(3), faces.T, arg.T):
+                masks[i][f] = a
+            # find the most commonly occurring attribute (i.e. UV coordinate)
+            # and use that index note that this is doing a float conversion
+            # and then median before converting back to int: could also do this as
+            # a column diff and sort but this seemed easier and is fast enough
+            result.append(np.median(masks, axis=0).astype(np.int64))
+
+        return result
+
     # stack into pairs of (vertex index, texture index)
     stackable = [np.asanyarray(faces).reshape(-1)]
     # append multiple args to the correlated stack
     # this is usually UV coordinates (vt) and normals (vn)
     for arg in args:
         stackable.append(np.asanyarray(arg).reshape(-1))
+
     # unify them into rows of a numpy array
     stack = np.column_stack(stackable)
     # find unique pairs: we're trying to avoid merging


Test patch:
diff --git a/tests/generic.py b/tests/generic.py
index 14156076..fd0aa350 100644
--- a/tests/generic.py
+++ b/tests/generic.py
@@ -170,7 +170,7 @@ def get_mesh(file_name, *args, **kwargs):
     """
     meshes = collections.deque()
     for name in np.append(file_name, args):
-        location = os.path.join(dir_models, name)
+        location = get_path(name)
         log.info('loading mesh from: %s', location)
         meshes.append(trimesh.load(location, **kwargs))
     if len(meshes) == 1:
@@ -178,6 +178,14 @@ def get_mesh(file_name, *args, **kwargs):
     return list(meshes)
 
 
+def get_path(file_name):
+    """
+    Get the absolute location of a referenced model file.
+    """
+    return os.path.abspath(
+        os.path.join(dir_models, file_name))
+
+
 @contextlib.contextmanager
 def serve_meshes():
     """
diff --git a/tests/test_texture.py b/tests/test_texture.py
index 78c355bc..36441149 100644
--- a/tests/test_texture.py
+++ b/tests/test_texture.py
@@ -22,6 +22,33 @@ class TextureTest(g.unittest.TestCase):
 
         assert (colors == colors_expected).all()
 
+    def test_bad_uv(self):
+        # get a textured OBJ
+        m = g.get_mesh('fuze.obj', force='mesh')
+        # add malformed UV coordinates
+        m.visual.uv = m.visual.uv[:100]
+        m.merge_vertices()
+
+    def test_order_kwarg(self):
+        for file_name in ['ico4.obj', 'ico4uv.obj']:
+            # get the location of the model file
+            file_path = g.get_path(file_name)
+            with open(file_path, 'r') as f:
+                # get the raw ordered vertices from the file with basic string ops
+                v_raw = g.np.array(
+                    [line[2:].split() for line in f if line.startswith('v ')],
+                    dtype=g.np.float64)
+
+            # load them with maximal correspondence captain
+            a = g.trimesh.load(file_path, process=False, maintain_order=True)
+            # see if we have the same vertices
+            assert g.np.allclose(a.vertices, v_raw)
+
+            # load them without process and but without maintaining order
+            a = g.trimesh.load(file_path, process=False, maintain_order=False)
+            # vertex shape should not be the same
+            assert a.vertices.shape != v_raw.shape
+
     def test_fuze(self):
 
         # create a local web server to test remote assets
diff --git a/tests/test_util.py b/tests/test_util.py
index fbda09c3..05241301 100644
--- a/tests/test_util.py
+++ b/tests/test_util.py
@@ -364,6 +364,170 @@ class CommentTests(unittest.TestCase):
         assert f(text) == 'hey whats up\n hi'
 
 
+class ArrayToString(unittest.TestCase):
+    def test_converts_an_unstructured_1d_array(self):
+        self.assertEqual(
+            g.trimesh.util.array_to_string(np.array([1, 2, 3])),
+            '1 2 3'
+        )
+
+    def test_converts_an_unstructured_int_array(self):
+        self.assertEqual(
+            g.trimesh.util.array_to_string(np.array([[1, 2, 3], [4, 5, 6]])),
+            '1 2 3\n4 5 6'
+        )
+
+    def test_converts_an_unstructured_float_array(self):
+        self.assertEqual(
+            g.trimesh.util.array_to_string(
+                np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float)
+            ),
+            '1.00000000 2.00000000 3.00000000\n4.00000000 5.00000000 6.00000000'
+        )
+
+    def test_uses_the_specified_column_delimiter(self):
+        self.assertEqual(
+            g.trimesh.util.array_to_string(
+                np.array([[1, 2, 3], [4, 5, 6]]), col_delim='col'),
+            '1col2col3\n4col5col6'
+        )
+
+    def test_uses_the_specified_row_delimiter(self):
+        self.assertEqual(
+            g.trimesh.util.array_to_string(
+                np.array([[1, 2, 3], [4, 5, 6]]), row_delim='row'),
+            '1 2 3row4 5 6'
+        )
+
+    def test_uses_the_specified_value_format(self):
+        self.assertEqual(
+            g.trimesh.util.array_to_string(
+                np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float),
+                value_format='{:.1f}'),
+            '1.0 2.0 3.0\n4.0 5.0 6.0'
+        )
+
+    def test_supports_uints(self):
+        self.assertEqual(
+            g.trimesh.util.array_to_string(
+                np.array([1, 2, 3], dtype=np.uint8)),
+            '1 2 3'
+        )
+
+    def test_supports_repeat_format(self):
+        self.assertEqual(
+            g.trimesh.util.array_to_string(
+                np.array([[1, 2, 3], [4, 5, 6]]), value_format='{} {}'),
+            '1 1 2 2 3 3\n4 4 5 5 6 6'
+        )
+
+    def test_raises_if_array_is_structured(self):
+        with self.assertRaises(ValueError):
+            g.trimesh.util.array_to_string(np.array(
+                [(1, 1.1), (2, 2.2)],
+                dtype=[('some_int', np.int), ('some_float', np.float)]
+            ))
+
+    def test_raises_if_array_is_not_flat(self):
+        with self.assertRaises(ValueError):
+            g.trimesh.util.array_to_string(np.array([[[1, 2, 3], [4, 5, 6]]]))
+
+
+class StructuredArrayToString(unittest.TestCase):
+
+    def test_converts_a_structured_array_with_1d_elements(self):
+        self.assertEqual(
+            g.trimesh.util.structured_array_to_string(
+                np.array(
+                    [(1, 1.1), (2, 2.2)],
+                    dtype=[('some_int', np.int), ('some_float', np.float)]
+                )
+            ),
+            '1 1.10000000\n2 2.20000000'
+        )
+
+    def test_converts_a_structured_array_with_2d_elements(self):
+        self.assertEqual(
+            g.trimesh.util.structured_array_to_string(
+                np.array(
+                    [([1, 2], 1.1), ([3, 4], 2.2)],
+                    dtype=[('some_int', np.int, 2), ('some_float', np.float)]
+                )
+            ),
+            '1 2 1.10000000\n3 4 2.20000000'
+        )
+
+    def test_uses_the_specified_column_delimiter(self):
+        self.assertEqual(
+            g.trimesh.util.structured_array_to_string(
+                np.array(
+                    [(1, 1.1), (2, 2.2)],
+                    dtype=[('some_int', np.int), ('some_float', np.float)]
+                ),
+                col_delim='col'
+            ),
+            '1col1.10000000\n2col2.20000000'
+        )
+
+    def test_uses_the_specified_row_delimiter(self):
+        self.assertEqual(
+            g.trimesh.util.structured_array_to_string(
+                np.array(
+                    [(1, 1.1), (2, 2.2)],
+                    dtype=[('some_int', np.int), ('some_float', np.float)]
+                ),
+                row_delim='row'
+            ),
+            '1 1.10000000row2 2.20000000'
+        )
+
+    def test_uses_the_specified_value_format(self):
+        self.assertEqual(
+            g.trimesh.util.structured_array_to_string(
+                np.array(
+                    [(1, 1.1), (2, 2.2)],
+                    dtype=[('some_int', np.int), ('some_float', np.float)]
+                ),
+                value_format='{:.1f}'
+            ),
+            '1.0 1.1\n2.0 2.2'
+        )
+
+    def test_supports_uints(self):
+        self.assertEqual(
+            g.trimesh.util.structured_array_to_string(
+                np.array(
+                    [(1, 1.1), (2, 2.2)],
+                    dtype=[('some_int', np.uint8), ('some_float', np.float)]
+                )
+            ),
+            '1 1.10000000\n2 2.20000000'
+        )
+
+    def test_raises_if_array_is_unstructured(self):
+        with self.assertRaises(ValueError):
+            g.trimesh.util.structured_array_to_string(np.ndarray([1, 2, 3]))
+
+    def test_raises_if_value_format_specifies_repeats(self):
+        with self.assertRaises(ValueError):
+            g.trimesh.util.structured_array_to_string(
+                np.array(
+                    [(1, 1.1), (2, 2.2)],
+                    dtype=[('some_int', np.int), ('some_float', np.float)]
+                ),
+                value_format='{} {}'
+            )
+
+    def test_raises_if_array_is_not_flat(self):
+        with self.assertRaises(ValueError):
+            g.trimesh.util.structured_array_to_string(
+                np.array(
+                    [[(1, 1.1), (2, 2.2)], [(1, 1.1), (2, 2.2)]],
+                    dtype=[('some_int', np.int), ('some_float', np.float)]
+                )
+            )
+
+
 if __name__ == '__main__':
     trimesh.util.attach_to_log()
     unittest.main()