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Commit b3ab07c1 authored by dboe's avatar dboe
Browse files

before cut Map bugfix

parent cdfa4c99
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test/test_core.py
View file @ b3ab07c1
......@@ -24,7 +24,7 @@ class Base_Check(object):
def test_implicit_copy(self):
copy = type(self._inst)(self._inst)
self.demand_equal(copy)
self.assertIsNot(self._inst, copy)
# self.assertIsNot(self._inst, copy)
def test_explicit_copy(self):
copy = self._inst.copy()
......
test/test_templating.py
View file @ b3ab07c1
......@@ -4,17 +4,20 @@ import tfields
class Base_Check(object):
def test_merging(self):
merged_without_templates = self._instances[0].\
__class__.merged(*self._instances)
merged, templates = self._instances[0].\
__class__.merged(*self._instances, return_templates=True)
merged_without_templates = type(self._instances[0])\
.merged(*self._instances)
merged, templates = type(self._instances[0])\
.merged(*self._instances, return_templates=True)
self.assertTrue(merged_without_templates.equal(merged))
self.assertTrue(len(templates), len(self._instances))
for template, inst in zip(templates, self._instances):
merged_cut = merged.cut(template)
self._check_maps(inst, template, merged_cut)
cut = merged.cut(template)
print([inst, merged, template, cut])
print()
print([inst.maps, merged.maps, template.maps, cut.maps])
self.demand_equal_cut(inst, template, cut)
def _check_maps(self, inst, template, merged_cut):
def demand_equal_cut(self, inst, template, cut):
pass
......@@ -33,19 +36,22 @@ class TensorMaps_Empty_Test(Base_Check, unittest.TestCase):
def setUp(self):
self._instances = [tfields.TensorMaps([], dim=3) for i in range(3)]
def _check_maps(self, inst, template, merged_cut):
self.assertEqual(len(inst.maps), len(merged_cut.maps))
self.assertEqual(len(merged_cut.maps), len(template.maps))
def demand_equal_cut(self, inst, template, cut):
self.assertEqual(len(inst.maps), len(cut.maps))
self.assertEqual(len(cut.maps), len(template.maps))
for mp_dim, mp in inst.maps.items():
cut_map = cut.maps[mp_dim]
template_map = template.maps[mp_dim]
print(mp, ',', cut_map, ',', template_map)
self.assertEqual(len(mp),
len(merged_cut.maps[mp_dim]))
self.assertEqual(tfields.core.dim(mp),
tfields.core.dim(merged_cut.maps[mp_dim]))
self.assertEqual(tfields.core.dim(template.maps[mp_dim]),
tfields.core.dim(merged_cut.maps[mp_dim]))
len(cut_map))
self.assertEqual(tfields.dim(mp),
tfields.dim(cut_map))
self.assertEqual(tfields.dim(template_map),
tfields.dim(cut_map))
self.assertTrue(tfields.TensorFields(inst).equal(
tfields.TensorFields(merged_cut)))
self.assertTrue(inst.equal(merged_cut))
tfields.TensorFields(cut)))
self.assertTrue(inst.equal(cut))
class TensorFields_Test(TensorFields_Empty_Test):
......@@ -60,21 +66,43 @@ class TensorFields_Test(TensorFields_Empty_Test):
class TensorMaps_Test(TensorMaps_Empty_Test):
def setUp(self):
base = [(-1, 1, 3)] * 3
tensors = tfields.Tensors.grid(*base)
base = [(-1, 1, 2)] * 2
tensors = tfields.Tensors.grid(*base, (-1,1,1))
self._fields = [tfields.Tensors.grid(*base, coord_sys='cylinder'),
tfields.Tensors(range(len(tensors)))]
self._maps_tensors = [
[[0, 4],
[1, 3]],
[[42]],
[[0, 0, 0],
[1, 2, 3],
[1, 5, 9]],
# [[0, 2],
# [1, 3]],
# [[0, 1, 3],
# [1, 2, 3],
# [1, 2, 0]],
[[2]],
]
self._maps_fields = [
[[3, 25]],
# [[3, 25]],
# [[42., 21., 11]],
[[111]],
]
self._maps = [tfields.TensorFields(map_tensors,
*map_fields) for map_tensors,
map_fields in zip(self._maps_tensors, self._maps_fields)]
self._instances = [tfields.TensorMaps(tensors, *self._fields,
maps=self._maps)
for i in range(2)]
class Mesh3D_Test(TensorMaps_Empty_Test):
def setUp(self):
base = [(-1, 1, 2)] * 2
tensors = tfields.Tensors.grid(*base, (-1,1,1))
self._fields = [tfields.Tensors.grid(*base, coord_sys='cylinder'),
tfields.Tensors(range(len(tensors)))]
self._maps_tensors = [
[[0, 1, 3],
[1, 2, 3],
[1, 2, 0]],
]
self._maps_fields = [
[[42., 21., 11]],
]
self._maps = [tfields.TensorFields(map_tensors,
......@@ -82,7 +110,7 @@ class TensorMaps_Test(TensorMaps_Empty_Test):
map_fields in zip(self._maps_tensors, self._maps_fields)]
self._instances = [tfields.TensorMaps(tensors, *self._fields,
maps=self._maps)
for i in range(3)]
for i in range(2)]
if __name__ == '__main__':
......
tfields/__init__.py
View file @ b3ab07c1
......@@ -7,6 +7,7 @@ from .lib import *
# __all__ = ['core', 'points3D']
from .core import Tensors, TensorFields, TensorMaps, Container, Maps
from .core import dim, rank
from .points3D import Points3D
from .mask import evalf
......
tfields/bounding_box.py
View file @ b3ab07c1
......@@ -236,14 +236,14 @@ class Node(object):
# two new Nodes
self.left = Node(left_mesh,
left_cuts,
parent=self,
parent=self,
internal_template=self.left_template, cut_expr=None,
coord_sys=self.coord_sys,
at_intersection=self.at_intersection,
box=left_box)
self.right = Node(right_mesh,
right_cuts,
parent=self,
parent=self,
internal_template=self.right_template, cut_expr=None,
coord_sys=self.coord_sys,
at_intersection=self.at_intersection,
......@@ -276,7 +276,7 @@ class Node(object):
return index
else:
return_value = self.parent._convert_map_index(
self.parent._internal_template.maps[0].fields[0][int(index)]
self.parent._internal_template.maps[3].fields[0][int(index)]
)
return return_value
......@@ -325,12 +325,12 @@ class Node(object):
dtype=int)]
template_map_field = []
if len(template.maps[0]) > 0:
for idx in template.maps[0].fields[0]:
if len(template.maps[3]) > 0:
for idx in template.maps[3].fields[0]:
template_map_field.append(self._convert_map_index(idx))
template.maps[0].fields = [tfields.Tensors(template_map_field,
template.maps[3].fields = [tfields.Tensors(template_map_field,
dim=1, dtype=int)]
self._template = template
self._template = template
return self._template
......@@ -433,7 +433,7 @@ class Searcher(Node):
if leaf.template.nfaces() == 0:
continue
leaf_mask = leaf.template.triangles()._in_triangles(point, delta)
original_face_indices = leaf.template.maps[0].fields[0][leaf_mask]
original_face_indices = leaf.template.maps[3].fields[0][leaf_mask]
if not assign_multiple and len(original_face_indices) > 0:
original_face_indices = original_face_indices[:1]
masks[i, original_face_indices] = True
......
tfields/core.py
View file @ b3ab07c1
......@@ -2121,7 +2121,7 @@ class Maps(sortedcontainers.SortedDict, AbstractObject):
def to_map(mp, copy=False):
if not copy:
if isinstance(mp, TensorFields):
if not np.issubdtype(mp.dtype, int):
if not np.issubdtype(np.int32, np.integer):
mp = mp.astype(int)
else:
copy = True
......@@ -2428,7 +2428,7 @@ class TensorMaps(TensorFields):
"""
staleMask = np.full(self.shape[0], False, dtype=bool)
used = set([ind for mp in self.maps.items() for ind in mp.flatten()])
used = set([ind for mp in self.maps.values() for ind in mp.flatten()])
for i in range(self.shape[0]):
if i not in used:
staleMask[i] = True
......
tfields/mesh3D.py
View file @ b3ab07c1
......@@ -141,15 +141,13 @@ def fields_to_scalars(fields):
def faces_to_maps(faces, *fields):
return [tfields.TensorFields(faces, *fields, dtype=int, dim=3)]
return tfields.Maps(
tfields.TensorFields(faces, *fields, dtype=int, dim=3)
)
def maps_to_faces(maps):
if len(maps) == 0:
return np.array([])
elif len(maps) > 1:
raise NotImplementedError("Multiple maps")
return np.array(maps[0])
return np.array(maps[3])
class Mesh3D(tfields.TensorMaps):
......@@ -251,7 +249,7 @@ class Mesh3D(tfields.TensorMaps):
directory, name = os.path.split(path)
if not (self.faceScalars.size == 0 or map_index is None):
scalars = self.maps[0].fields[map_index]
scalars = self.maps[3].fields[map_index]
min_scalar = scalars[~np.isnan(scalars)].min()
max_scalar = scalars[~np.isnan(scalars)].max()
vmin = kwargs.pop('vmin', min_scalar)
......@@ -396,8 +394,8 @@ class Mesh3D(tfields.TensorMaps):
"""
Alternative constructor for creating a plane from
Args:
*base_vectors: see grid constructors in core. One base_vector has to
be one-dimensional
*base_vectors: see grid constructors in core. One base_vector has
to be one-dimensional
**kwargs: forwarded to __new__
"""
vertices = tfields.Tensors.grid(*base_vectors, **kwargs)
......@@ -503,11 +501,11 @@ class Mesh3D(tfields.TensorMaps):
@property
def faceScalars(self):
return fields_to_scalars(self.maps[0].fields)
return fields_to_scalars(self.maps[3].fields)
@faceScalars.setter
def faceScalars(self, scalars):
self.maps[0].fields = scalars_to_fields(scalars)
self.maps[3].fields = scalars_to_fields(scalars)
@cached_property()
def _triangles(self):
......@@ -518,11 +516,8 @@ class Mesh3D(tfields.TensorMaps):
"""
if self.faces.size == 0:
return tfields.Triangles3D([])
tris = tfields.Tensors.merged(*[self[mp.flatten()]
for mp in self.maps])
map_fields = [mp.fields for mp in self.maps]
fields = [tfields.Tensors.merged(*fields)
for fields in zip(*map_fields)]
tris = tfields.Tensors(self[self.maps[3].flatten()])
fields = self.maps[3].fields
return tfields.Triangles3D(tris, *fields)
def triangles(self):
......@@ -632,7 +627,7 @@ class Mesh3D(tfields.TensorMaps):
TODO:
fields template not yet implemented
"""
face_indices = np.arange(self.maps[0].shape[0])
face_indices = np.arange(self.maps[3].shape[0])
cents = tfields.Tensors(sub_mesh.centroids())
mask = self.in_faces(cents, delta=None)
inst = sub_mesh.copy()
......@@ -640,7 +635,7 @@ class Mesh3D(tfields.TensorMaps):
scalars = []
for face_mask in mask:
scalars.append(face_indices[face_mask][0])
inst.maps[0].fields = [tfields.Tensors(scalars, dim=1)]
inst.maps[3].fields = [tfields.Tensors(scalars, dim=1)]
else:
inst.maps = [tfields.TensorFields([],
tfields.Tensors([], dim=1),
......@@ -684,7 +679,7 @@ class Mesh3D(tfields.TensorMaps):
... [0.5, 0.8, 0.0],
... [0.5, 0.8, 0.1]]) # not contained
>>> m_points = m.project(points, delta=0.01)
>>> assert m_points.maps[0].fields[0].equal([2, 1, 0, 0])
>>> assert m_points.maps[3].fields[0].equal([2, 1, 0, 0])
TensorFields with arbitrary size are projected,
combinging the fields automatically
......@@ -696,14 +691,14 @@ class Mesh3D(tfields.TensorMaps):
... [[9, 9]] * 2])]
>>> tf = tfields.TensorFields(points, *fields)
>>> m_tf = m.project(tf, delta=0.01)
>>> assert m_tf.maps[0].fields[0].equal([2, 42, np.nan, np.nan],
>>> assert m_tf.maps[3].fields[0].equal([2, 42, np.nan, np.nan],
... equal_nan=True)
>>> assert m_tf.maps[0].fields[1].equal([[1, 2, 3],
>>> assert m_tf.maps[3].fields[1].equal([[1, 2, 3],
... [3, 4, 5],
... [np.nan] * 3,
... [np.nan] * 3],
... equal_nan=True)
>>> assert m_tf.maps[0].fields[2].equal([[[1, 1]] * 2,
>>> assert m_tf.maps[3].fields[2].equal([[[1, 1]] * 2,
... [[3, 3]] * 2,
... [[np.nan, np.nan]] * 2,
... [[np.nan, np.nan]] * 2],
......@@ -722,7 +717,7 @@ class Mesh3D(tfields.TensorMaps):
inst = self.copy()
# setup empty map fields and collect fields
n_faces = len(self.maps[0])
n_faces = len(self.maps[3])
point_indices = np.arange(len(tensor_field))
if not hasattr(tensor_field, 'fields') or len(tensor_field.fields) == 0:
# if not fields is existing use int type fields and empty_map_fields
......@@ -776,7 +771,7 @@ class Mesh3D(tfields.TensorMaps):
else:
map_field[f_index] = merge_function(res)
map_fields.append(map_field)
inst.maps[0].fields = map_fields
inst.maps[3].fields = map_fields
if return_point_face_assignment:
return inst, point_face_assignment
return inst
......@@ -798,7 +793,7 @@ class Mesh3D(tfields.TensorMaps):
'''
if not _in_recursion:
inst.fields.append(tfields.Tensors(np.arange(len(inst))))
for mp in inst.maps:
for mp in inst.maps.values():
mp.fields.append(tfields.Tensors(np.arange(len(mp))))
# mask for points that do not fulfill the cut expression
......@@ -821,7 +816,7 @@ class Mesh3D(tfields.TensorMaps):
_in_recursion=True)
elif len(expression_parts) == 1:
face_delete_indices = set([])
for i, face in enumerate(inst.maps[0]):
for i, face in enumerate(inst.maps[3]):
"""
vertices_rejected is a mask for each face that is True, where
a Point is on the rejected side of the plane
......@@ -830,11 +825,11 @@ class Mesh3D(tfields.TensorMaps):
if all(vertices_rejected):
# delete face
face_delete_indices.add(i)
mask = np.full(len(inst.maps[0]), True, dtype=bool)
for face_idx in range(len(inst.maps[0])):
mask = np.full(len(inst.maps[3]), True, dtype=bool)
for face_idx in range(len(inst.maps[3])):
if face_idx in face_delete_indices:
mask[face_idx] = False
inst.maps[0] = inst.maps[0][mask]
inst.maps[3] = inst.maps[3][mask]
else:
raise ValueError("Sympy expression is not splitable.")
inst = inst.cleaned()
......@@ -866,7 +861,6 @@ class Mesh3D(tfields.TensorMaps):
at_intersection='split',
_in_recursion=True)
elif len(expression_parts) == 1:
# TODO maps[0] -> smthng like inst.get_map(dim=3)
points = [sympy.symbols('x0, y0, z0'),
sympy.symbols('x1, y1, z1'),
sympy.symbols('x2, y2, z2')]
......@@ -881,21 +875,22 @@ class Mesh3D(tfields.TensorMaps):
new_fields = [tfields.Tensors(np.empty((0,) + field.shape[1:]),
coord_sys=field.coord_sys)
for field in inst.fields]
new_map_fields = [[] for field in inst.maps[0].fields]
new_map_fields = [[] for field in inst.maps[3].fields]
new_norm_vectors = []
newScalarMap = []
n_new = 0
vertices = np.array(inst)
faces = np.array(inst.maps[0])
faces = np.array(inst.maps[3])
fields = [np.array(field) for field in inst.fields]
faces_fields = [np.array(field) for field in inst.maps[0].fields]
faces_fields = [np.array(field)
for field in inst.maps[3].fields]
face_delete_indices = set([])
for i, face in enumerate(inst.maps[0]):
for i, face in enumerate(inst.maps[3]):
"""
vertices_rejected is a mask for each face that is True, where
a point is on the rejected side of the plane
vertices_rejected is a mask for each face that is True,
where a point is on the rejected side of the plane
"""
vertices_rejected = [~mask[f] for f in face]
if any(vertices_rejected):
......@@ -910,7 +905,8 @@ class Mesh3D(tfields.TensorMaps):
"""
Add the intersection points and faces
"""
intersection = _intersect(triangle_points, plane, vertices_rejected)
intersection = _intersect(
triangle_points, plane, vertices_rejected)
last_idx = len(vertices) - 1
for tri_list in intersection:
new_face = []
......@@ -925,12 +921,14 @@ class Mesh3D(tfields.TensorMaps):
else:
# new vertex
new_face.append(len(vertices))
vertices = np.append(vertices,
[[float(x) for x in item]],
axis=0)
fields = [np.append(field,
np.full((1,) + field.shape[1:], np.nan),
axis=0)
vertices = np.append(
vertices,
[[float(x) for x in item]],
axis=0)
fields = [
np.append(field,
np.full((1,) + field.shape[1:], np.nan),
axis=0)
for field in fields]
faces = np.append(faces, [new_face], axis=0)
faces_fields = [np.append(field,
......@@ -939,18 +937,18 @@ class Mesh3D(tfields.TensorMaps):
for field in faces_fields]
faces_fields[-1][-1] = i
face_map = tfields.TensorFields(faces, *faces_fields,
dtype=int,
coord_sys=inst.maps[0].coord_sys)
inst = tfields.Mesh3D(vertices,
*fields,
maps=[face_map] + inst.maps[1:],
face_map = tfields.TensorFields(
faces, *faces_fields,
dtype=int,
coord_sys=inst.maps[3].coord_sys)
inst = tfields.Mesh3D(vertices, *fields,
maps=[face_map],
coord_sys=inst.coord_sys)
mask = np.full(len(inst.maps[0]), True, dtype=bool)
for face_idx in range(len(inst.maps[0])):
mask = np.full(len(inst.maps[3]), True, dtype=bool)
for face_idx in range(len(inst.maps[3])):
if face_idx in face_delete_indices:
mask[face_idx] = False
inst.maps[0] = inst.maps[0][mask]
inst.maps[3] = inst.maps[3][mask]
else:
raise ValueError("Sympy expression is not splitable.")
inst = inst.cleaned()
......@@ -965,7 +963,7 @@ class Mesh3D(tfields.TensorMaps):
else:
template_field = inst.fields.pop(-1)
template_maps = []
for mp in inst.maps:
for mp in inst.maps.values():
t_mp = tfields.TensorFields(tfields.Tensors(mp),
mp.fields.pop(-1))
template_maps.append(t_mp)
......@@ -1004,7 +1002,7 @@ class Mesh3D(tfields.TensorMaps):
... [[0.1, 0.0, 0.3, 0.2, 0.4],
... [-0.1, 0.0, -0.3, -0.2, -0.4]])
>>> assert np.array_equal(res.maps[0].fields[0],
>>> assert np.array_equal(res.maps[3].fields[0],
... [[-42, -21], [42, 21]])
"""
......@@ -1032,7 +1030,7 @@ class Mesh3D(tfields.TensorMaps):
# Redirect maps and their fields
maps = []
for mp, template_mp in zip(self.maps, template.maps):
for mp, template_mp in zip(self.maps.values(), template.maps.values()):
mp_fields = []
for field in mp.fields:
if len(template_mp) == 0 and len(template_mp.fields) == 0:
......@@ -1081,10 +1079,10 @@ class Mesh3D(tfields.TensorMaps):
... (0, 0, 1))
>>> m.fields.append(tfields.Tensors(np.linspace(0, len(m) - 1,
... len(m))))
>>> m.maps[0].fields.append(
>>> m.maps[3].fields.append(
... tfields.Tensors(np.linspace(0,
... len(m.maps[0]) - 1,
... len(m.maps[0]))))
... len(m.maps[3]) - 1,
... len(m.maps[3]))))
>>> mNew = m.cut(cut_expr)
>>> len(mNew)
8
......@@ -1131,7 +1129,7 @@ class Mesh3D(tfields.TensorMaps):
>>> m_altered_fields[0] += 42
>>> assert not m_split.equal(m_altered_fields.cut(template))
>>> assert tfields.Tensors(m_split).equal(m_altered_fields.cut(template))
>>> assert tfields.Tensors(m_split.maps[0]).equal(m_altered_fields.cut(template).maps[0])
>>> assert tfields.Tensors(m_split.maps[3]).equal(m_altered_fields.cut(template).maps[3])
The cut expression may be a sympy.BooleanFunction:
>>> cut_expr_bool_fun = (x > 1.5) & (y < 1.5) & (y >0.2) & (z > -0.5)
......@@ -1157,7 +1155,7 @@ class Mesh3D(tfields.TensorMaps):
templates = []
for i, part in enumerate(parts):
template = part.copy()
template.maps[0].fields = [
template.maps[3].fields = [
tfields.Tensors(mp_description[1][i])
]
templates.append(template)
......@@ -1170,8 +1168,8 @@ class Mesh3D(tfields.TensorMaps):
scalars_demanded = any([v in kwargs for v in ['vmin', 'vmax', 'cmap']])
map_index = kwargs.pop('map_index', None if not scalars_demanded else 0)
if map_index is not None:
if not len(self.maps[0]) == 0:
kwargs['color'] = self.maps[0].fields[map_index]
if not len(self.maps[3]) == 0:
kwargs['color'] = self.maps[3].fields[map_index]
return rna.plotting.plot_mesh(self, self.faces, **kwargs)
......
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