diff --git a/python/damask/_geom.py b/python/damask/_geom.py
index 92f560e42..fece522c3 100644
--- a/python/damask/_geom.py
+++ b/python/damask/_geom.py
@@ -897,3 +897,41 @@ class Geom:
origin = self.origin,
comments = self.comments+[util.execution_stamp('Geom','vicinity_offset')],
)
+
+
+ def get_grain_boundaries(self,periodic=True,directions='xyz'):
+ """
+ Create VTK unstructured grid containing grain boundaries.
+
+ Parameters
+ ----------
+ periodic : bool, optional
+ Show boundaries across periodicity. Defaults to True.
+ directions : iterable containing str, optional
+ Direction(s) along which the geometry is mirrored.
+ Valid entries are 'x', 'y', 'z'. Defaults to 'xyz'.
+
+ """
+ valid = ['x','y','z']
+ if not set(directions).issubset(valid):
+ raise ValueError(f'Invalid direction {set(directions).difference(valid)} specified.')
+
+ o = [[0, self.grid[0]+1, np.prod(self.grid[:2]+1)+self.grid[0]+1, np.prod(self.grid[:2]+1)],
+ [0, np.prod(self.grid[:2]+1), np.prod(self.grid[:2]+1)+1, 1],
+ [0, 1, self.grid[0]+1+1, self.grid[0]+1]] # offset for connectivity
+
+ connectivity = []
+ for i,d in enumerate(['x','y','z']):
+ if d not in directions: continue
+ mask = self.material != np.roll(self.material,1,i)
+ for j in [0,1,2]:
+ mask = np.concatenate((mask,np.take(mask,[0],j)*(i==j)),j)
+ if i == 0 and not periodic: mask[0,:,:] = mask[-1,:,:] = False
+ if i == 1 and not periodic: mask[:,0,:] = mask[:,-1,:] = False
+ if i == 2 and not periodic: mask[:,:,0] = mask[:,:,-1] = False
+
+ base_nodes = np.argwhere(mask.flatten(order='F')).reshape(-1,1)
+ connectivity.append(np.block([base_nodes + o[i][k] for k in range(4)]))
+
+ coords = grid_filters.node_coord0(self.grid,self.size,self.origin).reshape(-1,3,order='F')
+ return VTK.from_unstructured_grid(coords,np.vstack(connectivity),'QUAD')
diff --git a/python/tests/conftest.py b/python/tests/conftest.py
index 719fa8e61..c4b6d1d6e 100644
--- a/python/tests/conftest.py
+++ b/python/tests/conftest.py
@@ -61,7 +61,7 @@ def update(request):
@pytest.fixture
-def reference_dir_base():
+def ref_path_base():
"""Directory containing reference results."""
return Path(__file__).parent/'reference'
diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20.vtr b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20.vtr
new file mode 100644
index 000000000..5fddfed71
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20.vtr
@@ -0,0 +1,30 @@
+
+
+
+
+
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+
+
+
+
+
+
+
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+
+
+
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+
+
+ AQAAAACAAACAAAAARQAAAA==eF5jYICAWTNBYKc9hD5pb2IMApeh/Jv2EFUPoOKP7dPTQOAZVP6l/dkzIPAGqu4DVPwjVP1nqPwXqL5vUHU/7AHEUzT8
+
+
+ AQAAAACAAACoAAAAVQAAAA==eF5jYICAWTNBYKc9hD5pb2IMApeh/Jv2EFUPoOKP7dPTQOAZVP6l/dkzIPAGqu4DVPwjVP1nqPwXqL5vUHU/oOp+QtX9hqr7A1X3D6qOwQEAqKdGHg==
+
+
+
+
+
diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_x_False.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_x_False.vtu
new file mode 100644
index 000000000..1df6c0d07
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_x_False.vtu
@@ -0,0 +1,35 @@
+
+
+
+
+
+
+
+
+
+
+ BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_x_True.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_x_True.vtu
new file mode 100644
index 000000000..40c429481
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_x_True.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xy_False.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xy_False.vtu
new file mode 100644
index 000000000..30e48881b
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xy_False.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xy_True.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xy_True.vtu
new file mode 100644
index 000000000..1a7b5daac
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xy_True.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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AgAAAACAAACASgAAGxgAAMILAAA=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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xyz_False.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xyz_False.vtu
new file mode 100644
index 000000000..caaee30e1
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xyz_False.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xyz_True.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xyz_True.vtu
new file mode 100644
index 000000000..65ad14a70
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xyz_True.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xz_False.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xz_False.vtu
new file mode 100644
index 000000000..d9f592c79
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xz_False.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xz_True.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xz_True.vtu
new file mode 100644
index 000000000..194f3847e
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_xz_True.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==eF51nUFqJTkWRf+evue1m841lXdSSxBkjTzSqA0BDYKGcKAk8awb7Lio3rlXMXHnSeV9ylOh0M/X+sTjka8/v66//si8GX9+XW+b8d34/76uf29yDuP/+rr+s8kfxn9+Xf/d1D03OddmPtO4rld4krfMm3F5y+O7cXnLOYdxecv5w7i85brnJufazGca1/XNG3LkjbwZr944vhuv3phzGK/emD+MV2+se25yrs18pnFdL/ffu+b89Ufmzbi85fHduLzlnMO4vOX8YVzect1zk3Nt5jON63q9/341R/cbeTP+vHPz+G683m/MOYzX+435w3i931j33ORcm/lM4/V6N2+ZN+Pylsd34/KWcw7jdV9g/jBe9wXWPTc5l3F5I9f1UubLdUrejMtbHt+N13XKnMN4XafMH8brOmXdc5NzbeYzjev6gX1e3jJvxr/z3zbju3F5yzmHcXnL+cO4vOW65ybn2sxnGtf1etevOXq+kTfj8pbHd+P1+cacw7i85fxhvD7fWPfc5Fyb+Uzjuv4uz4PlLfNmXN7y+G5c3nLOYVzecv4wLm+57rnJuTbzmcbr9WHeMm/G5S2P78blLeccxuWNXN7If5a/J+uem5zLuLyR63otf47rlLwZl7c8vhuv65Q5h/G6Tpk/jMtbrntucq7NfKZxXS/FK/dT8mZc3vL4blzecs5hXN5y/jAub7nuucm5NvOZxnV9r99f5i3zZvw7/20zvhuvzzfmHMbr8435w7i85brnJufazGca1/W9z/42b5k34/KWx3fj8pZzDuPylvOHcXnLdc9NzrWZzzRer0/zlnkzLm95fDcubznnMC5v5PJGLm/k8pZzLuPyRs7r9fZVvZE349Ubx3fj1RtzDuPVG/OH8eqNdc9NzrWZzzTOX9Nb5s24vOXx3bi85ZzDuLzl/GFc3nLdc5NzGZc38uqtIWf137K3hvy3zfhuvHpjzmG8emP+MF69se65ybmMV2/er1V/id4yb8blLY/vxuUt5xzG5S3nD+Pyluuem5xrM59pvN5vHTmr/0Zv5M+Sy/HdeL3fmHMYr/cb84fxer+x7rnJuYzLG/mjXO/mLfNmXN7y+G5c3nLOYbzuC8wfxuu+wLrnJufazGcaf9yX+kv0lnkzLm95fDcubznnMF7XKfOH8bpOWffc5Fyb+Uzj8qb+Er1l3ox/579txnfj8pZzDuPylvOHcXnLdc9NzrWZzzQub693fXrLvBmXtzy+G5e3nHMY/1eZN/OH8fp8Y91zk3MZlzdyefu71FneMm/G5S2P78blLeccxuUt5w/j8pbrnpucazOfafxRrg/zlnkzLm95fDcubznnMC5vOX8Yl7dc99zkXJv5TOOP+3q9/xy9Zd6My1se343LW845jNd1yvxh/Ge5P1j33ORcxuWNXN5eyu9zPyVvxuUtj+/G5S3nHMblLecP4/KW656bnGszn2lc3tRforfMm/Hv/LfN+G5c3nLOYbw+35g/jMtbrntucq7NfKZxeVN/id4yb8blLY/vxuUt5xzG5S3nD+Pyluuem5xrM59p/FGuT/OWeTMub3l8Ny5vOecwLm85fxiXt1z33ORcm/lM4w9c37zBGzn7bw3eOJ79twZvzGH/rW36bw3eFq/eWJf9twZvnA/7b95/pLfMm3F5y+O7cXnLOey/NeynzB/G5S3XZf9tecvzmcbpMXsjb8arN47vxqs35rD/Rm/MH8arN9Zl/43eOJ9pXN5qf2l5y5z9t+Utj2f/bXnLOey/NXwOYT77bw2fQ1iX/bflLc+H/Tfebx05ut/Im/FnyeX4brzeb8xh/433G/OH8Xq/sS77b7zfOJ9p/FGud+Sw/8Z94R357L9xX1hc3nIO+2/cF5jP/hv3BdZl/437AufD/hvX6YEc9t+4Tg/ks//GdXpg/uy/cZ0uXtcp89l/4zplXfbfuE45H/bflrfaX1reMmf/bXnL49l/W95yDvtvy1vOZ/9tect12X9b3vJ82H/j820gR8838mZc3vL4blzecg77b3y+MX8Yr8831mX/jc83zmcal7faX1reMmf/bXnL49l/W95yDvtvy1vOZ/9tect12X9b3vJ82H/jvvCBHPbfuC98IJ/9N+4LH5g/+2/cFxaXt5zP/hv3BdZl/437AufD/hvX6YUcrVPyZlze8vhuvK5T5rD/xnXK/GH8Z7k/WJf9N65Tzmcal7faX+J+Ss7+G/dTjmf/jfspc9h/437KfPbfuJ+yLvtv3E85H/bf+Hz7hRz23/h8+4V89t/4fPuF+bP/xufb4vX5xnz23/h8Y1323/h843zYf+PnkN/IYf9teSOXtzye/Td+DmEO+2/8HMJ89t/4OYR12X9b3vJ82H/jvvCJHPbfuC98Ip/9N+4Ln5g/+2/cFxaXt5zP/hv3BdZl/437AufD/hu9rX/ff+f4uZs/8efEqzeO78arN+Ycxqs35g/j1RvrnpucazOfaVy/fr090Vvmzfjz/pnHd+PylnMO4/KW84dxect1z03OtZnPNF69NeSs/lv21pD/thnfjVdvzDmMV2/MH8arN9Y9NznXZj7TOO8/esu8GX/i1/RGLm855zAubzl/GJe3XPfc5FzGv378o/9Gb6/4+8lb5s348/6Zx3fj9X5jzmG83m/MH8br/ca65ybn2sxnGn+U6928Zd6MP0sex3fj8pZzDuN1X2D+MF73BdY9NznXZj7T+OO+Xu750lvmzfjz/pnHd+N1nTLnMF7XKfOH8bpOWffc5FzGv378o/9Gbz/KvJa3zJvx5/0zj+/G5S3nHMblLecP4/KW656bnGszn2lc3l7Lfzc+38ib8ef9M4/vxuUt5xzG5S3nD+P1+ca65ybn2sxnGpc39ZfoLfNm/Hn/zOO7cXnLOYdxecv5w7i85brnJufazGcaf5Trw7xl3ow/Sx7Hd+PylnMO4/KW84dxect1z03OtZnPNP64r9f7z9Fb5s348/6Zx3fjdZ0y5zBe1ynzh3F5y3XPTc61mc80Lm8v9+/TW+bN+PP+mcd34/KWcw7j8pbzh3F5y3XPTc5l/Fl+vbi8qb9Eb5k348/7Zx7fjctbzjmM1+cb84dxect1z03OtZnPNC5v6i/RW+bN+PP+mcd34/KWcw7j8pbzh3F5y3XPTc61mc80/ijXp3nLvBl/ljyO78blLeccxuUt5w/j8pbrnpucazOfafyBS/8Oq97I/VzJE3l1PM+/dXhjDs+/9c35tw5vi1dvrMvzbx3eOB+ef+PfZ/07/s/ya/JmXN7y+G5c3nIOz7917KfMH8blLdfl+bflLc9nGq/eGnJW/y17a8h/24zvxqs35vD8G70xfxiv3liX59/ojfOZxuVN65beMm/G5S2P78blLefw/FvH5xDmD+Pyluvy/NvyluczjXPd0lvmzfgTufRGXu835vD8G+835g/j9X5jXZ5/4/3G+Uzjj3K9I4fn37gvvCOf59+4LywubzmH59+4LzCf59+4L7Auz79xX+B8eP6N6/RAzuq/0Ru5vOXx3bi85Ryef+M6Zf4wXtcp6/L8G9cp5zONy5v6S/SWOc+/LW95PM+/LW85h+fflrecz/Nvy1uuy/Nvy1ueD8+/8fk2kKPnG3kzLm95fDcubzmH59/4fGP+MF6fb6zL8298vnE+07i8/V3qLG+Z8/zb8pbH8/zb8pZzeP5tecv5PP+2vOW6PP+2vOX58Pwb94UP5PD8G/eFD+Tz/Bv3hQ/Mn+ffuC8sLm85n+ffuC+wLs+/cV/gfHj+jev0Qo7WKXkzLm95fDcubzmH59+4Tpk/jP8s9wfr8vwb1ynnM43L20v5fe6n5M24vOXx3bi85Ryef+N+yvxhXN5yXZ5/437K+Uzj8qb+Er1lzvNvfL5xPM+/LW85h+ff+HxjPs+/8fnGujz/xucb58Pzb/wc8hs5PP+2vJHLWx7P82/LW87h+Td+DmE+z7/xcwjr8vzb8pbnw/Nv3Bc+kcPzb9wXPpHP82/cFz4xf55/476wuLzlfJ5/477Aujz/xn2B8+H5N3rT9Q5v5Dw39w5vHO//nqveFq/eFq/eFv/OH8art8Wrt8Wrt8Wrt8X1v16Lp+Ut82Zc3vL4blzecs5hXN5y/jAub7ku37+wvOX5TOOP+/rmDTmr/1Z5M169cXw3Xr0xh9+DojfmD+PVG+vy/Qv0xvlM44/7Un+p5vB84fJGLm95PM8/LW85h+dX3vE5hPk8f/COzyGsy/cvLG95Pvz//3i/deSwL8z7rSOffT3eb4vX+4057DvwfmM+/93I+411+f4F3m+cDz+38X0C78jheua+8I58/vfgvrC4vOWcw3jdF5g/jNd9gXX5/gXuC5zPNP64rxfMV94yb8blLY/vxus6ZQ7fv8B1yvxhvK5T1uX7F7hOOZ9p/HFfP/DfU94y5/sXlrc8nu9fWN5yDt+/sLzlfL5/YXnLdfn+heUtz4fvX+DzbSBn9d8qb8blLY/vxuUt5xzG5S3nD+P1+ca6fP8Cn2+czzT+uC/1l2oO37+wvJHLWx7P9y8sbzmH719Y3nI+37+wvOW6fP/C8pbnw/cvcF/4QI72BfJmXN7y+G5c3nLOYVzecv4w/rP8PVmX71/gvsD5TOOP+3otf47rlLwZl7c8vhuv65Q5h/G6Tpk/jMtbrsv3L3Cdcj7T+OO+1F+qOav/VnkzLm95fDcubzmH71/gfsr8YVzecl2+f4H7KeczjT/uS/2lmsP3L/D59gv5fP8Cn2+Ly1vO4fsX+HxjPt+/wOcb6/L9C3y+cT58/wI/h/xGDt+/sLyRy1sez/cv8HMIc/j+BX4OYT7fv8DPIazL9y8sb3k+fP8C94VP5GhfIG/G5S2P78blLeccxuUt5w/j8kYubznnMi5v5A9c+lxcvZE349Ubx3fj1Rtz+P3Tw/pvNX8Yr95Yl98/PeCN85nG9evX2xO9Zd6Mf+e/bcZ34/KWc/j90wP7KfOHcXnLdfn90+Utz2car94aclb/LXtryH/bjO/Gqzfm8Pun9Mb8Ybx6Y11+/5TeOJ9pvN5/b8hZ/Td6I3+WX3N8Ny5vOYffPz3wOYT5w7i85br8/unyluczjdf7rSNn9d/ojfx55+bx3Xi935jD75/yfmP+MF7vN9bl9095v3E+0/ijXO/IWf03eiP/zn/bjO/G5S3n8Pun3BeYP4zXfYF1+f1T7guczzT+uC/9mt4yb8a/898247vxuk6Zw++fcp0yfxiv65R1+f1TrlPOZxqXtx+Yl7xlzu+fLm95PL9/urzlHH7/dHnL+fz+6fKW6/L7p8tbng+/f8rn20DO6r/RG/l3/ttmfDcubzmH3z/l8435w3h9vrEuv3/K5xvnM43L2/8BVSHWp3hedZ1Nqh05FoRzT8/z2s2tNdXbSS9BcD3KkUZtEBQIGvSETONZN+1UoD4RcTTJyq+O4+h9zp+LbPl+f/9v/OuPbx//G+2Pv36Pf/zx3fIi/Pfh407qq/D//B7/THKa8Nfv8XeS34W/97nvO5KcmcxnCb/C+BJvnhfhT/6d1Ffh8OZzmnB48/ldOLz5viPJmcl8lvBrj8/969ib50X4k38n9VU4vPmcJhzefH4XDm++70hyZjKfJRzevu3/z948L8Kf/Dupr8Lhzec04fDm87twePN9R5IzhX+E88Ph7bl/f4o3z4vwJ/9O6qtwePM5TXh8vnF+Fw5vvu9IcmYynyUc3v78Pa9/izfPi/An/07qq3B48zlNOLz5/C4c3nzfkeTMZD5L+BXGL/HmeRH+5N9JfRUObz6nCYc3n9+Fw5vvO5KcmcxnCb9o/LnnF70xL8Kf/Dupr8KjN87h++Bv8sb5XXj0xn1HkjOT+SzhOP/cntib50U4vPn6KhzefE4T/tpHn9+Fw5vvO5KcmcxnCY/eCuXAG/MiPHrj+io8euOcJvy1jz6/C4/euO9IcmYynyUc3r7tn5u9eV6Ew5uvr8Lhzec04a999PldOLz5viPJmcl8lvB4vVXKwfXGvAj/2Lm+vgqP1xvnNOGvffT5XXi83rjvSHJmMp8l/Arjh3jzvAiHN19fhcObz2nCX2G+nN+Fx/cC9x1Jzkzms4Rfe+D9yt48L8LhzddX4fE+5Zwm/LWPPr8Lj/cp9x1Jzkzms4TDG87Zm+dF+JN/J/VVOLz5nCb8RefsjTm8+b4jyZnC4Y05vH1Sf3jzvAiHN19fhcObz2nCX/vo87vw+HzjviPJmcl8lnB4+06/P0/OWX9jb8zhzddX4fDmc5rw1z76/C4c3nzfkeTMZD5L+BXGl3jzvAiHN19fhcObz2nCX2G+nN+Fw5vvO5KcmcxnCb/2+Ny/jr15XoTDm6+vwuN9yjlN+GsffX4XDm++70hyZjKfJRzevu3/z948L8LhzddX4fDmc5rw1z76/C4c3nzfkeTMZD5LOLxhfYm9eV6EP/l3Ul+Fw5vPacJf++jzu3B4831HkjOT+Szh8Pac/1u8eV6Ew5uvr8Lhzec04a999PldOLz5viPJmcLhjfkVxi/x5nkRDm++vgqHN5/ThL/CfDm/C4c333ckOTOZzxJ+0cDnlOiNeREevXF9FR69cQ7/eVGX9beY34VHb9x3JDkzmc8SHs/P59y/wjnzIhzefH0VDm8+pwmHN5/fhcOb7zuSnCkc3phHb4Vyzvqb91Yo/07qq/DojXOa8OiN87vw6I37jiRnCo/eDoc3rC+xN8+LcHjz9VU4vPmcJhzefH4XDm++70hyZjKfJTxeb5Vyzvobe2P+EXK5vgqP1xvnNOHxeuP8Ljxeb9x3JDlTOLwxv8L4Id48L8LhzddX4fDmc5rw+F7g/C48vhe470hyZjKfJfzaA+tL7M3zIhzefH0VHu9TzmnC433K+V14vE+570hyZjKfJRze8LmEvXlehD/5d1JfhcObz2nC4c3nd+Hw5vuOJGcm81nC4Q3n7M3zIhzefH0VDm8+pwl/0bzZG/P4fOO+I8mZwuGNObx9pz5Pzll/Y2/M4c3XV+Hw5nOacHjz+V04vPm+I8mZyXyW8CuML/HmeREOb76+Coc3n9OEw5vP78LhzfcdSc5M5rOEX3t87l/H3jwvwuHN11fh8T7lnCY83qec34W/w/XBfUeSM4XDG3N4+xb+P79PmRfh8Obrq3B48zlNOLz5/C4c3nzfkeTMZD5LOLxhfYm9eV6EP/l3Ul+Fw5vPacLj843zu3B4831HkjOT+Szh8Ib1JfbmeREOb76+Coc3n9OEw5vP78LhzfcdSc5M5rOEX2H8Em+eF+Hw5uurcHjzOU04vPn8LhzefN+R5MxkPkv4RQPv2yfnrL9FXoRHb1xfhUdvnMN/f/Zfsv4W8/XzVPTGfUeSM5P5LOE4/9ye2JvnRTi8+foqHN58ThMObz6/C3/vo+87kpyZzGcJj94K5Zz1N++tUP6d1Ffh0RvnNOHRG+d34e999H1HkjOT+Szh8Ib1JfbmeREOb76+Coc3n9OEw5vP78Lf++j7jiRnJvNZwuP1VinnrL/5661S/p3UV+HxeuOcJjxeb5zfhb/30fcdSc5M5rOEX2H8EG+eF+Hw5uurcHjzOU14fC9wfhf+Dj8f9x1Jzkzms4Rfe2B9ib15XoTDm6+vwuN9yjlNeLxPOb8Lf++j7zuSnJnMZwmHN6wvsTfPi/An/07qq3B48zlNOLz5/C78vY++70hyZjKfJRzePnd/9uZ5EQ5vvr4Khzef04TDm8/vwt/76PuOJGcm81nC4Q3n7M3zIhzefH0VDm8+pwl/0e83e2P+pnP25nOmcHhjfoXxJd48L8LhzddX4fDmc5pwePP5Xfg7/HzcdyQ5M5nPEn7t8Um+4c3zIhzefH0VHu9TzmnC433K+V34ex9935HkzGQ+Szi8YX2JvXlehMObr6/C4c3nNOHw5vO78Pc++r4jyZnJfJZweHvOf4o3z4vwJ/9O6qtwePM5TXh8vnF+F/7eR993JDlTOLwxhzesL7E3z4twePP1VTi8+ZwmHN58fhf+3kffdyQ5M5nPEn6F8Uu8eV6Ew5uvr8Lhzec04fDm87vwd/j5uO9IcmYynyX8suOLvDEvwqM3rq/Co7fDo7fDo7fDo7fD3/bnQ9+R5MxkPks4/uszeDrePC/C4c3XV+Hw5nOacHjz+V04vPm+I8mZyXyW8GuPhxfKOetvkRfh0RvXV+HRG+c04dEb53fh0Rv3HUnOTOazhF97YH0p5pz1t8iLcHjz9VU4vPmcJhzefH4XDm++70hyZjKfJfza43P/fDHnrL9FXoR/7FxfX4XH641zmvB4vXF+Fx6vN+47kpyZzGcJv8L4Id48L8LhzddX4fDmc5rw+F7g/C48vhe470hypnB4Y37t8S3Ml+9T5kU4vPn6Kjzep5zThMf7lPO78Hifct+R5PC/48P36eHXHn+G38/jzXPen3+8+XreX328+RzeH3u8+Xze33i8+b4jyeH9V8cb82uPz90/5pz1t8iLcHjz9fz3Yvn5xjn89xr5+cb5/PfS+PnGfUeSw39vhp9vh197xM/Bx5vn/Odhx5uv5z/PON58Dq9HH28+n9cTjzffdyQ5vN5xvDG/wviiHP6cx++FL8rn9zS/Fw6HN5/DzxF+L3A+Xwf8XuC+I8mZwuGN+bXHJ/06ePO8CIc3X1+Fx/uUc5rweJ9yfhcOb77vSHJmMp8l/NoD60sx56y/RV6Ew5uvr8Lhzec04fDm87twePN9R5Izk/ks4dcez/37U7x5XoQ/+XdSX4XDm89pwuPzjfO7cHjzfUeSM5P5LOHXHlhfijln/S3yIhzefH0VDm8+pwmHN5/fhcOb7zuSnJnMZwm/wvgl3jwvwuHN11fh8OZzmnB48/ldOLwxhzefM4XDG/OLBp5/0RvzIjx64/oqPHrjHN5/OmX9LeZ34dEb9+X9p5O88XyW8Hh+3p9/hXPmRTi8+foqHN58Du8/nfQ+5fwuHN58X95/erz5+Szh0VuhnLP+5r0Vyr+T+io8euMc3n/K3ji/C4/euC/vP2VvPJ8lHN6wvsTePOf9p8ebr+f9p8ebz+H9p5M+h3A+7z+d9DmE+/L+0+PNz4f3n/L1VinnrL+xN+YfIZfrq/B4vXEO7z/l643zu/B4vXFf3n/K1xvPZwm/wvhBOWf9jb0xhzdfX4XDm8/h/af8XuD8Ljy+F7gv7z/l9wLPZwm/9sD6EnvznPef8n3K9bz/lO9TzuH9p3yfcj7vP+X7lPvy/lO+T3k+vP/0eMP6EnvznPefHm++nvefHm8+h/efHm8+n/efHm++L+8/Pd78fHj/KT/fOuXg+ca8CIc3X1+Fw5vP4f2n/Hzj/C48Pt+4L+8/5ecbz2cJh7fvoc/x5nkRDm++vgqHN5/D+0+PN5/fhcOb78v7T483P58l/Arji3LO+ht7Yw5vvr4Khzefw/tP+b3A+V04vPm+vP+U3ws8nyX82gPn7M3zIhzefH0VHu9TzuH9p3yfcn4X/qbrg735HN5/yvcpr8/x/lN+nzLn/af8PuV63n/K71PO4f2n/D7lfN5/yu9T7sv7T/l9yvPh/af8fPtJOWf9jb0xf/LvpL4Khzefw/tP+fnG+V04vPm+vP+Un288nyUc3rC+xN485/2n/DmE63n/KX8O4Rzef8qfQzif95/y5xDuy/tPjzc/H95/yu+FX5Rz1t/YG3N48/VVOLz5HN5/yu8Fzu/C4c335f2n/F7g+SzhFw3cx0/OWX+LvAiP3ri+Co/eOKcJj944vwuP3rjvSHL0ef+xj8xx/rk9sTfPi/An/07qq3B48zlNOLz5/C4c3nzfkeTMZD5LePRWKOesv3lvhfLvpL4Kj944pwmP3ji/C4/euO9IcmYynyU8Xn835Zz1N/bG/COcc30VDm8+pwmHN5/fhcOb7zuSnCn8Yx+Zx+utUs5Zf2NvzD92rq+vwuP1xjlNeLzeOL8Lj9cb9x1Jzkzms4RfYfwQb54X4U/+ndRX4fDmc5rw+F7g/C48vhe470hyZjKfJfza49ueL3vzvAh/8u+kvgqP9ynnNOHxPuX8Ljzep9x3JDlT+Mc+Moe3P8O8jjfPi/An/07qq3B48zlNOLz5/C4c3nzfkeTMZD5LOLx9ht83fr4xL8Kf/Dupr8Lhzec04fDm87vw+HzjviPJmcl8lnB4w/oSe/O8CH/y76S+Coc3n8Pff3q8+fwuHN58X/7+0+PNz2cJv8L4opyz/sbemD/5d1JfhcObz2nC4c3nd+Hw5vvy95/ye4Hns4Rfe3zuX8fePC/Cn/w7qa/C433KOU14vE85vwuHN9+Xv/+U71OezxIObzhnb54X4U/+ndRX4fDmc/j7T/l9yvldOLz5vvz9p/w+5fks4fCG9SX25nkR/uTfSX0VDm8+h7//lJ9vnN+Fw5vvy99/ys83ns8SDm9YX2JvnhfhT/6d1Ffh8OZz+PtP+XMI53fh8Ob78vefHm9+Pkv4FcYvyjnrb+yN+ZN/J/VVOLz5nCYc3nx+Fw5vvi9//ym/F3g+S/hFA9dj9Ma8CH/y76S+Co/eOIf//befsv4W87vw6I378r//9pO88Xz0eYbzz+2JvXlehMObr6/C4c3nNOHw5vO78N+H/1t/Y28+ZybzWcKjt/LHfwG796iTeF51nUGuHDmSRONO+vu6jXSmzpv0EQhIq1hx1QIIDEBgAIpgY6DBNKq7JjLsM9zMnBt2vnaZu54iMn6xVIgf3/9//fOPv13r73+8rr388SPwIvzLtc6kvgr/97X+keQ04V+v9V9Jfhd+bd//O+k7kpyZzLOEH/f6uH/fMefvf3hehMObr6/C4c3nNOHw5vO78Gv7y5vvO5KcmcyzhMPb6/79sTfPi/Avd66vr8Lj9cY5TXi83ji/C7+2z+uN+44kZybzLOFHWD/Fm+dFOLz5+ioc3nxOEw5vPr8Lv7a/vPm+I8mZyTxL+HGvj3te9uZ5EQ5vvr4Kj/cp5zTh8T7l/C782j7vU+47kpyZzLOEw9u3ey725nkR/s4/k/oqHN58ThMObz6/C7+2v7z5viPJmck8Szi8ve7+7M3zIhzefH0VDm8+pwmHN5/fhV/b5/cb9x1JzkzmWcLh7cfdh715XoTDm6+vwuHN5zThX8OfN+d34d/DZ+47kpyZzLOEH2H9Em+eF+Hw5uurcHjzOU04vPn8LvzaPp8L3HckOTOZZwk/7vUKvvk+ZV6Ew5uvr8Ljfco5TXi8Tzm/C7+2z/uU+44kZybzLOHw9hGuR36eMi/C4c3XV+Hw5nOacHjz+V34tX0+T7nvSHJmMs8SDm/4zN48L8Lf+WdSX4XDm89pwuP3G+d34df2+D5ibz5nCoc35vD2fs7+j3jzvAiHN19fhcObz2nC4c3nd+HX9vlzCPcdSc5M5lnCj7B+izfPi3B48/VVOLz5nCYc3nx+F35tn88F7juSnJnMs4QftOA1emNehEdvXF+FR2+c04RHb5zfhUdv3HckOTOZZwnH59ftib15XoTDm6+vwuHN5zTh1/b5POX8LhzefN+R5MxkniU8eiuUs8/fvLdC+WdSX4VHb5zThF/b4/zNe9s8euO+I8mZyTxLOLzhfIm9eV6Ew5uvr8Lhzec04df2OH9jb8zhzfcdSc5M5lnC4/VWKWefv/nrrVL+mdRX4fF645wm/Noe52/+ets8Xm/cdyQ5M5lnCT/C+inePC/C4c3XV+Hw5nOa8Gt7nL+xN+bxucB9R5Izk3mW8ONeOF9ib54X4fDm66vweJ9yThN+bY/zN/bGPN6n3HckOTOZZwmHt2/3XOzN8yL8nX8m9VU4vPmcJvxr+Mz5XTi8+b4jyZnC4Y05vL1Cf/5+Y16Ew5uvr8Lhzec04V/vuX1+Fx6/37jvSHJmMs8SDm8/wp/P9uZ5EQ5vvr4Khzef04Rf2+P8jb0xhzffdyQ5M5lnCT/C+iXePC/C4c3XV+Hw5nOa8Gt7nL+xN+bw5vuOJGcm8yzhx71e969jb54X4fDm66vweJ9yThN+bY/zN/bGHN5835HkzGSeJRzecL7E3jwvwuHN11fh8OZzmvBre5y/sTfm8Ob7jiRnJvMs4fCGf85nb54X4e/8M6mvwuHN5zTh1/Y4f2NvzOHN9x1JzkzmWcLhDZ/Zm+dFOLz5+ioc3nxOE35tj58D2BtzePN9R5IzhcMb8yOs3+LN8yIc3nx9FQ5vPqcJv7bH+Rt7Yw5vvu9IcmYyzxJ+2PWbvDEvwqM3rq/Co7fNo7fNo7fNo7fNo7fNo7fNo7fNo7fN8b9ewdP25nkRDm++vgqHN5/ThMObz+/C4c33HUnOTOZZwo97vXmhnH3+FnkRHr1xfRUevXFOEx69cX4XHr1x35HkzGSeJfy4F86XYs4+f4u8CIc3X1+Fw5vPacLhzed34fDm+44kZybzLOHHvV737y/m7PO3yIvwL3eur6/C4/XGOU14vN44vwuP1xv3HUnOTOZZwo+wfoo3z4twePP1VTi8+ZwmPD4XOL8Lj88F7juSnCkc3pgf9/oI8/J9yrwIhzdfX4XH+5RzmvB4n3J+Fx7vU+47kpyZzLOEH/f6Fv48tzfPi/B3/pnUV+Hw5nOacHjz+V04vPm+I8mZyTxL+HGv190/5uzzt8iLcHjz9VU4vPmcJhzefH4XHr/fuO9IcmYyzxJ+3AvnSzFnn79FXoTDm6+vwuHN5zTh8Obzu3B4831HkjOTeZbwI6xf4s3zIhzefH0VDm8+pwmHN5/fhX8Pv0/uO5KcKRzemB/3eoVfx/cp8yIc3nx9FR7vU85pwuN9yvldOLz5viPJmck8S/hxL5wvxZx9/hZ5EQ5vvr4Khzef04TDm8/vwuHN9x1JzkzmWcKPe+F8Kebs87fI+b+34e83ruf/XoK/3ziH/747f79xPv99Zf5+474jyeG/T8nfb5sf94rnI9ub5/z3JPjnEK7nf8/NP4dwDv97Sv45hPP53zPxzyHcdyQ5fA7OP4dsfoT1m3L4n//5ufCb8vmf3/i5sDm8+Rz++ZKfC5zPPx/wc4H7jiSHv7/4ufCb9r3e33//S96YF+HRG9dX4dEb5zTh0Rvnd+HRG/cdSc5M5lnC42c8P7c3z4twePP1VTi8+ZwmHN58fhcOb77vSHKmcHhjHr0Vytnnb95bofwzqa/CozfOacKjN87vwqM37juSnCk8etsc3nC+xN48L8LhzddX4fDmc5pwePP5XTi8+b4jyZnJPEt4vN4q5ezzN/bG/EvI5foqPF5vnNOEx+uN87vweL1x35HkTOHwxvwI66d487wIhzdfX4XDm89pwuNzgfO78Phc4L4jyZnJPEv4cS+cL7E3z4twePP1VTi8+ZwmPN6nnN+Fx/uU+44kZybzLOHwhvMl9uZ5Ef7OP5P6KhzefE4TDm8+vwuHN993JDkzmWcJh7fX3Z+9eV6Ew5uvr8Lhzec04V/D3JzfhcfvN+47kpwpHN6Yw9uP0Gd787wIhzdfX4XDm89pwuHN53fh8Ob7jiRnJvMs4UdYv8Sb50U4vPn6KhzefE4TDm8+vwuHN993JDkzmWcJP+71un8de/O8CIc3X1+Fw5vPacLjfcr5Xfj3cH1w35HkTOHwxhzePsL/z89T5kU4vPn6KhzefE4TDm8+vwuHN993JDkzmWcJhzecL7E3z4vwd/6Z1Ffh8OZzmvD4/cb5XTi8+b4jyZnJPEs4vOF8ib15XoTDm6+vwuHN5zTh8Obzu3B4831HkjOTeZbwI6zf4s3zIhzefH0VDm8+pwmHN5/fhcOb7zuSnJnMs4QftN738f+RN+ZFePTG9VV49MY5TXj0xvldePTGfUeSM5N5lnB8ft2e2JvnRfg7/0zqq3B48zlNOLz5/C4c3nzfkeTMZJ4lPHorlLPP37y3QvlnUl+FR2+c04RHb5zfhUdv3HckOTOZZwmP199JOfv8jb0x/xI+c30VDm8+pwmHN5/fhcOb7zuSnCn82h7nb+ztFX5/fL0xL8K/3Lm+vgqP1xvnNOHxeuP8Ljxeb9x3JDkzmWcJP8L6Kd48L8Lf+WdSX4XDm89pwuNzgfO78Phc4L4jyZnJPEv4ca+Pe1725nkR/s4/k/oqPN6nnNOEx/uU87vweJ9y35HkTOHX9jh/Y2/fwlzbm+dF+Dv/TOqrcHjzOU04vPn8LhzefN+R5MxkniUc3l7hz42/35gX4e/8M6mvwuHN5zTh8Obzu/D4/cZ9R5Izk3mWcHjD+RJ787wIf+efSX0VDm8+pwmHN5/fhcOb7zuSnJnMs4QfYf0Sb54X4e/8M6mvwuHN5zTh8Obzu3B4831HkjOTeZbw416v+9exN8+L8Hf+mdRX4fE+5ZwmPN6nnN+Fw5vvO5KcmcyzhMPbx/3/szfPi/B3/pnUV+Hw5nOacHjz+V04vPm+I8mZwr+Ez5vDG86X2JvnRfg7/0zqq3B48zlNePx+4/wuHN5835HkzGSeJRzecL7E3jwvwt/5Z1JfhcObz2nC4c3nd+Hw5vuOJGcm8yzhR1i/xZvnRfg7/0zqq3B48zlNOLz5/C4c3nzfkeTMZJ4l/KD1vh7/Rd6YF+Hv/DOpr8KjN85pwqM3zu/CozfuO5KcmcyzhOPz6/bE3jwvwuHN11fh8OZzmnB48/ld+LU9zt/Ym8+ZyTxLePRWKGefv3lvhfLPpL4Kj944pwmP3ji/C7+2x/mb98Y5M5lnCYe3j/v3zd48L8LhzddX4fDmc/j9C/+in0M4vwu/tsf5G3vzOfz+he2NebzeKuXs8zd/vVXKP5P6Kjxeb5zThMfrjfO78Gt7nL/5641zZjLPEn6E9ZNy9vkbe2MOb76+Coc3n9OEx+cC53fh1/Y4f2NvPmcm8yzhx70+7nnZm+dFOLz5+io83qecw+9f4PuU87vwa3ucv7E3n8PvX+D7dHN4w/kSe/O8CH/nn0l9FQ5vPoffv7C9+fwu/Noe52/szefw+xe2N+bw9rr7szfPi3B48/VVOLz5nCYc3nx+F35tj/M39uZzZjLPEg5vP+4+7M3zIhzefH0VDm8+h9+/sL35/C78e/jMffn9C9ubn2cJP8L6RTn7/I29MYc3X1+Fw5vPacLhzed34df2OH9jbz5nJvMs4ce9XsE336fMi3B48/VVeLxPOacJj/cp53fh1/Y4f2NvPmcm8yzh8PYRrkd+njIvwuHN11fh8OZz+P0L/Dzl/C782h7nb+zN5/D7F/h5ujm8vT//k3L2+Rt7Y/7OP5P6KhzefA6/f4G/3zi/C7+2x/kbe/M5/P4F/n7bHN5wvsTePC/C4c3XV+Hw5nP4/Qv8cwjnd+HX9jh/Y28+h9+/wD+HbH6E9Zty9vkbe2MOb76+Coc3n9OEw5vP78Kv7XH+xt58zkzmWcIPWm+vf5I35kV49Mb1VXj0xjlNePTG+V149MZ9+f0Lf5I3nmcJx+fX7Ym9eV6Ew5uvr8Lhzec04df2OH9jb8zhzffl9y9sb36eJTx6K5Szz9+8t0L5Z1JfhUdvnNOEX9vj/M172zx64778/gX2xvMs4fCG8yX25nkRDm++vgqHN5/D71/4k34O4fwuHN58X37/wvbm51nC4/VWKWefv/nrrVL+mdRX4fF645wm/Noe52/+ets8Xm/cl9+/wNcbz7OEH2H9pJx9/sbemMObr6/C4c3nNOHX9jh/Y2/M43OB+/L7F/i5wPMs4ce9cL7E3jwvwuHN11fh8T7lHH7/At+nnN+Fx/uU+/L7F/g+5XmWcHj7ds/F3jwvwt/5Z1JfhcObz+H3L2xvPr8Lhzffl9+/sL35eZZweHuF/vz9xrwIhzdfX4XDm89pwr/ec/v8Ljx+v3Fffv8Cf7/xPEs4vP0Ifz7bm+dFOLz5+ioc3nwOv39he/P5XTi8+b78/oXtzc+zhB9h/aKcff7G3pjDm6+vwuHN5zTh1/Y4f2NvzOHN9+X3L/BzgedZwo97ve5fB/4fALzdHHhedZhBahwxEEX7Ts5+fBrnTOOb+AgCZzUrrRIQGAQGWSgEr5KMNfojqv4vbcp+Ln7Jj1ZPT5/PX+vl9DxrP31/+lp/T/PXcyL+MNcl6M/E/831M8gpxGd5egvyK/HXud6DuS3I6cF+BvFjrW/r7zbn5aR5Ig5vuj8ThzedU4jPcvWm8ytxeNNzW5DTg/0M4vD2Y875Td40T8Rv+ZegPxOHN51TiM9y9abzK3F403NbkNOD/Qzi8Hb7/Q950zwRhzfdn4nDm84pxGe5etP5lTi86bktyOnE4c3zw6xP8qZ5Ig5vuj8ThzedU4jPcvWm8ytxeNNzW5DTg/0M4odej9ab54m49eb7M3HrbXPrbXPrbXPrbXPrbXPrbXPrbXPrbXP88Gw93b1pnojDm+7PxOFN5xTi8KbzK3F403NbkNOD/Qziqy5vyeXAm+eJuPXm+zNx683nFOLWm8+vxK03P7cFOT3YzyC+6noOubgcPId4nojDm+7PxOFN5xTi8KbzK3F403NbkNOD/Qziq67rLbscXG+eJ+IPK1f3Z+L2evM5hbi93nx+JW6vNz+3BTk92M8gfpj1i7xpnojDm+7PxOFN5xTi9nPB51fi9nPBz21BTicOb56vus5pcTk4p54n4vCm+zNxe059TiFuz6nPr8TtOfVzW5DTg/0M4quu5943l4PnXs8T8Vv+JejPxOFN5xTi8KbzK3F403NbkNOD/Qziq677W3U5uL95nojDm+7PxO39zecU4vCm8ytxe3/zc1uQ04P9DOKrru+n7y4H3089T8ThTfdn4vCmcwpxeNP5lTi86bktyOnBfgbxw6wP8qZ5Ig5vuj8ThzedU4jDm+fw5vmr+T/93BbkdOLw5vmq65x2l7Pfv1meiMOb7s/E7Tn1OYW4Pac+vxKHNz23BTk92M8gvur9/ZvN2e/fLE/E4U33Z+LwpnMKcXjT+ZU4vOm5LcjpwX4G8VXv799szn7/Znkifsu/BP2ZuL2/+ZxC3N7ffH4lDm96bgtyerCfQXzV+/s3m7Pfv1meiMOb7s/E4U3nFOLwpvMrcXjTc1uQ04P9DOKHWZ/kTfNEHN50fyYObzqnEIc3z+HNc3jzHN50TicOb57/B/t+InM=
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AgAAAACAAAAANAAAQhgAAOcHAAA=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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_y_False.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_y_False.vtu
new file mode 100644
index 000000000..b21606698
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_y_False.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_y_True.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_y_True.vtu
new file mode 100644
index 000000000..377a72934
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_y_True.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_z_False.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_z_False.vtu
new file mode 100644
index 000000000..d74ea4e5f
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_z_False.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_z_True.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_z_True.vtu
new file mode 100644
index 000000000..b9b4c24d5
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_z_True.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_zy_False.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_zy_False.vtu
new file mode 100644
index 000000000..c351b263e
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_zy_False.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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diff --git a/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_zy_True.vtu b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_zy_True.vtu
new file mode 100644
index 000000000..2a9053c41
--- /dev/null
+++ b/python/tests/reference/Geom/get_grain_boundaries_8g12x15x20_zy_True.vtu
@@ -0,0 +1,35 @@
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BAAAAACAAACAGQAAtQ8AAF8PAACIDwAATAMAAA==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+
+ AQAAAACAAADsBAAAEgAAAA==eF7j5BwFo2AUjILhDwAkfSxN
+
+
+
+
+
diff --git a/python/tests/test_Colormap.py b/python/tests/test_Colormap.py
index 054158c22..81bf8d2f6 100644
--- a/python/tests/test_Colormap.py
+++ b/python/tests/test_Colormap.py
@@ -10,9 +10,9 @@ from PIL import ImageChops
from damask import Colormap
@pytest.fixture
-def reference_dir(reference_dir_base):
+def ref_path(ref_path_base):
"""Directory containing reference results."""
- return reference_dir_base/'Colormap'
+ return ref_path_base/'Colormap'
class TestColormap:
@@ -131,13 +131,13 @@ class TestColormap:
assert (np.allclose(c.colors[:len(c.colors)//2],c.colors[len(c.colors)//2:]))
@pytest.mark.parametrize('bounds',[None,[2,10]])
- def test_shade(self,reference_dir,update,bounds):
+ def test_shade(self,ref_path,update,bounds):
data = np.add(*np.indices((10, 11)))
img_current = Colormap.from_predefined('orientation').shade(data,bounds=bounds)
if update:
- img_current.save(reference_dir/f'shade_{bounds}.png')
+ img_current.save(ref_path/f'shade_{bounds}.png')
else:
- img_reference = Image.open(reference_dir/f'shade_{bounds}.png')
+ img_reference = Image.open(ref_path/f'shade_{bounds}.png')
diff = ImageChops.difference(img_reference.convert('RGB'),img_current.convert('RGB'))
assert not diff.getbbox()
@@ -149,14 +149,14 @@ class TestColormap:
('GOM','.legend'),
('gmsh','.msh')
])
- def test_compare_reference(self,format,ext,tmp_path,reference_dir,update):
+ def test_compare_reference(self,format,ext,tmp_path,ref_path,update):
name = 'binary'
c = Colormap.from_predefined(name) # noqa
if update:
- os.chdir(reference_dir)
+ os.chdir(ref_path)
eval(f'c.save_{format}()')
else:
os.chdir(tmp_path)
eval(f'c.save_{format}()')
time.sleep(.5)
- assert filecmp.cmp(tmp_path/(name+ext),reference_dir/(name+ext))
+ assert filecmp.cmp(tmp_path/(name+ext),ref_path/(name+ext))
diff --git a/python/tests/test_ConfigMaterial.py b/python/tests/test_ConfigMaterial.py
index 25c05d711..45dc3b97f 100644
--- a/python/tests/test_ConfigMaterial.py
+++ b/python/tests/test_ConfigMaterial.py
@@ -7,16 +7,16 @@ from damask import ConfigMaterial
from damask import Table
@pytest.fixture
-def reference_dir(reference_dir_base):
+def ref_path(ref_path_base):
"""Directory containing reference results."""
- return reference_dir_base/'ConfigMaterial'
+ return ref_path_base/'ConfigMaterial'
class TestConfigMaterial:
@pytest.mark.parametrize('fname',[None,'test.yaml'])
- def test_load_save(self,reference_dir,tmp_path,fname):
- reference = ConfigMaterial.load(reference_dir/'material.yaml')
+ def test_load_save(self,ref_path,tmp_path,fname):
+ reference = ConfigMaterial.load(ref_path/'material.yaml')
os.chdir(tmp_path)
if fname is None:
reference.save()
@@ -26,60 +26,60 @@ class TestConfigMaterial:
new = ConfigMaterial.load(fname)
assert reference == new
- def test_valid_complete(self,reference_dir):
- material_config = ConfigMaterial.load(reference_dir/'material.yaml')
+ def test_valid_complete(self,ref_path):
+ material_config = ConfigMaterial.load(ref_path/'material.yaml')
assert material_config.is_valid and material_config.is_complete
- def test_invalid_lattice(self,reference_dir):
- material_config = ConfigMaterial.load(reference_dir/'material.yaml')
+ def test_invalid_lattice(self,ref_path):
+ material_config = ConfigMaterial.load(ref_path/'material.yaml')
material_config['phase']['Aluminum']['lattice']='fxc'
assert not material_config.is_valid
- def test_invalid_orientation(self,reference_dir):
- material_config = ConfigMaterial.load(reference_dir/'material.yaml')
+ def test_invalid_orientation(self,ref_path):
+ material_config = ConfigMaterial.load(ref_path/'material.yaml')
material_config['material'][0]['constituents'][0]['O']=[0,0,0,0]
assert not material_config.is_valid
- def test_invalid_fraction(self,reference_dir):
- material_config = ConfigMaterial.load(reference_dir/'material.yaml')
+ def test_invalid_fraction(self,ref_path):
+ material_config = ConfigMaterial.load(ref_path/'material.yaml')
material_config['material'][0]['constituents'][0]['fraction']=.9
assert not material_config.is_valid
@pytest.mark.parametrize('item',['homogenization','phase','material'])
- def test_incomplete_missing(self,reference_dir,item):
- material_config = ConfigMaterial.load(reference_dir/'material.yaml')
+ def test_incomplete_missing(self,ref_path,item):
+ material_config = ConfigMaterial.load(ref_path/'material.yaml')
del material_config[item]
assert not material_config.is_complete
@pytest.mark.parametrize('item',['O','phase'])
- def test_incomplete_material_constituent(self,reference_dir,item):
- material_config = ConfigMaterial.load(reference_dir/'material.yaml')
+ def test_incomplete_material_constituent(self,ref_path,item):
+ material_config = ConfigMaterial.load(ref_path/'material.yaml')
del material_config['material'][0]['constituents'][0][item]
assert not material_config.is_complete
- def test_incomplete_material_homogenization(self,reference_dir):
- material_config = ConfigMaterial.load(reference_dir/'material.yaml')
+ def test_incomplete_material_homogenization(self,ref_path):
+ material_config = ConfigMaterial.load(ref_path/'material.yaml')
del material_config['material'][0]['homogenization']
assert not material_config.is_complete
- def test_incomplete_homogenization_N_constituents(self,reference_dir):
- material_config = ConfigMaterial.load(reference_dir/'material.yaml')
+ def test_incomplete_homogenization_N_constituents(self,ref_path):
+ material_config = ConfigMaterial.load(ref_path/'material.yaml')
for h in material_config['homogenization'].keys():
del material_config['homogenization'][h]['N_constituents']
assert not material_config.is_complete
- def test_incomplete_phase_lattice(self,reference_dir):
- material_config = ConfigMaterial.load(reference_dir/'material.yaml')
+ def test_incomplete_phase_lattice(self,ref_path):
+ material_config = ConfigMaterial.load(ref_path/'material.yaml')
del material_config['phase']['Aluminum']['lattice']
assert not material_config.is_complete
- def test_incomplete_wrong_phase(self,reference_dir):
- material_config = ConfigMaterial.load(reference_dir/'material.yaml')
+ def test_incomplete_wrong_phase(self,ref_path):
+ material_config = ConfigMaterial.load(ref_path/'material.yaml')
new = material_config.material_rename_phase({'Steel':'FeNbC'})
assert not new.is_complete
- def test_incomplete_wrong_homogenization(self,reference_dir):
- material_config = ConfigMaterial.load(reference_dir/'material.yaml')
+ def test_incomplete_wrong_homogenization(self,ref_path):
+ material_config = ConfigMaterial.load(ref_path/'material.yaml')
new = material_config.material_rename_homogenization({'Taylor':'isostrain'})
assert not new.is_complete
diff --git a/python/tests/test_Geom.py b/python/tests/test_Geom.py
index 3f9855ad4..85da049fa 100644
--- a/python/tests/test_Geom.py
+++ b/python/tests/test_Geom.py
@@ -26,9 +26,9 @@ def default():
return Geom(x,[8e-6,5e-6,4e-6])
@pytest.fixture
-def reference_dir(reference_dir_base):
+def ref_path(ref_path_base):
"""Directory containing reference results."""
- return reference_dir_base/'Geom'
+ return ref_path_base/'Geom'
class TestGeom:
@@ -37,6 +37,10 @@ class TestGeom:
def _patch_execution_stamp(self, patch_execution_stamp):
print('patched damask.util.execution_stamp')
+ @pytest.fixture(autouse=True)
+ def _patch_datetime_now(self, patch_datetime_now):
+ print('patched datetime.datetime.now')
+
def test_diff_equal(self,default):
assert str(default.diff(default)) == ''
@@ -104,10 +108,10 @@ class TestGeom:
(['y','z'], False)
]
)
- def test_mirror(self,default,update,reference_dir,directions,reflect):
+ def test_mirror(self,default,update,ref_path,directions,reflect):
modified = default.mirror(directions,reflect)
tag = f'directions_{"-".join(directions)}+reflect_{reflect}'
- reference = reference_dir/f'mirror_{tag}.vtr'
+ reference = ref_path/f'mirror_{tag}.vtr'
if update: modified.save(reference)
assert geom_equal(Geom.load(reference),
modified)
@@ -126,10 +130,10 @@ class TestGeom:
['y','z'],
]
)
- def test_flip(self,default,update,reference_dir,directions):
+ def test_flip(self,default,update,ref_path,directions):
modified = default.flip(directions)
tag = f'directions_{"-".join(directions)}'
- reference = reference_dir/f'flip_{tag}.vtr'
+ reference = ref_path/f'flip_{tag}.vtr'
if update: modified.save(reference)
assert geom_equal(Geom.load(reference),
modified)
@@ -153,9 +157,9 @@ class TestGeom:
@pytest.mark.parametrize('stencil',[1,2,3,4])
@pytest.mark.parametrize('selection',[None,[1],[1,2,3]])
@pytest.mark.parametrize('periodic',[True,False])
- def test_clean(self,default,update,reference_dir,stencil,selection,periodic):
+ def test_clean(self,default,update,ref_path,stencil,selection,periodic):
current = default.clean(stencil,selection,periodic)
- reference = reference_dir/f'clean_{stencil}_{"+".join(map(str,[None] if selection is None else selection))}_{periodic}'
+ reference = ref_path/f'clean_{stencil}_{"+".join(map(str,[None] if selection is None else selection))}_{periodic}'
if update and stencil > 1:
current.save(reference)
assert geom_equal(Geom.load(reference) if stencil > 1 else default,
@@ -172,10 +176,10 @@ class TestGeom:
np.array((10,20,2))
]
)
- def test_scale(self,default,update,reference_dir,grid):
+ def test_scale(self,default,update,ref_path,grid):
modified = default.scale(grid)
tag = f'grid_{util.srepr(grid,"-")}'
- reference = reference_dir/f'scale_{tag}.vtr'
+ reference = ref_path/f'scale_{tag}.vtr'
if update: modified.save(reference)
assert geom_equal(Geom.load(reference),
modified)
@@ -228,10 +232,10 @@ class TestGeom:
@pytest.mark.parametrize('Eulers',[[32.0,68.0,21.0],
[0.0,32.0,240.0]])
- def test_rotate(self,default,update,reference_dir,Eulers):
+ def test_rotate(self,default,update,ref_path,Eulers):
modified = default.rotate(Rotation.from_Euler_angles(Eulers,degrees=True))
tag = f'Eulers_{util.srepr(Eulers,"-")}'
- reference = reference_dir/f'rotate_{tag}.vtr'
+ reference = ref_path/f'rotate_{tag}.vtr'
if update: modified.save(reference)
assert geom_equal(Geom.load(reference),
modified)
@@ -406,3 +410,13 @@ class TestGeom:
coords = grid_filters.cell_coord0(grid,size)
t = Table(np.column_stack((coords.reshape(-1,3,order='F'),geom.material.flatten(order='F'))),{'c':3,'m':1})
assert geom_equal(geom.sort().renumber(),Geom.from_table(t,'c',['m']))
+
+ @pytest.mark.parametrize('periodic',[True,False])
+ @pytest.mark.parametrize('direction',['x','y','z',['x','y'],'zy','xz',['x','y','z']])
+ def test_get_grain_boundaries(self,update,ref_path,periodic,direction):
+ geom=Geom.load(ref_path/'get_grain_boundaries_8g12x15x20.vtr')
+ current=geom.get_grain_boundaries(periodic,direction)
+ if update:
+ current.save(ref_path/f'get_grain_boundaries_8g12x15x20_{direction}_{periodic}.vtu',parallel=False)
+ reference=VTK.load(ref_path/f'get_grain_boundaries_8g12x15x20_{"".join(direction)}_{periodic}.vtu')
+ assert current.__repr__() == reference.__repr__()
diff --git a/python/tests/test_Orientation.py b/python/tests/test_Orientation.py
index edc5a79d8..5ab0361a8 100644
--- a/python/tests/test_Orientation.py
+++ b/python/tests/test_Orientation.py
@@ -10,9 +10,9 @@ from damask import util
@pytest.fixture
-def reference_dir(reference_dir_base):
+def ref_path(ref_path_base):
"""Directory containing reference results."""
- return reference_dir_base/'Orientation'
+ return ref_path_base/'Orientation'
@pytest.fixture
def set_of_rodrigues(set_of_quaternions):
@@ -414,8 +414,8 @@ class TestOrientation:
@pytest.mark.parametrize('model',['Bain','KS','GT','GT_prime','NW','Pitsch'])
@pytest.mark.parametrize('lattice',['cF','cI'])
- def test_relationship_reference(self,update,reference_dir,model,lattice):
- reference = reference_dir/f'{lattice}_{model}.txt'
+ def test_relationship_reference(self,update,ref_path,model,lattice):
+ reference = ref_path/f'{lattice}_{model}.txt'
o = Orientation(lattice=lattice)
eu = o.related(model).as_Euler_angles(degrees=True)
if update:
@@ -525,10 +525,10 @@ class TestOrientation:
== o.shape + (o.symmetry_operations.shape if with_symmetry else ()) + vector.shape
@pytest.mark.parametrize('lattice',['hP','cI','cF'])
- def test_Schmid(self,update,reference_dir,lattice):
+ def test_Schmid(self,update,ref_path,lattice):
L = Orientation(lattice=lattice)
for mode in L.kinematics:
- reference = reference_dir/f'{lattice}_{mode}.txt'
+ reference = ref_path/f'{lattice}_{mode}.txt'
P = L.Schmid(mode)
if update:
table = Table(P.reshape(-1,9),{'Schmid':(3,3,)})
diff --git a/python/tests/test_Result.py b/python/tests/test_Result.py
index f4ce4e373..1e014216e 100644
--- a/python/tests/test_Result.py
+++ b/python/tests/test_Result.py
@@ -16,25 +16,25 @@ from damask import mechanics
from damask import grid_filters
@pytest.fixture
-def default(tmp_path,reference_dir):
+def default(tmp_path,ref_path):
"""Small Result file in temp location for modification."""
fname = '12grains6x7x8_tensionY.hdf5'
- shutil.copy(reference_dir/fname,tmp_path)
+ shutil.copy(ref_path/fname,tmp_path)
f = Result(tmp_path/fname)
f.pick('times',20.0)
return f
@pytest.fixture
-def single_phase(tmp_path,reference_dir):
+def single_phase(tmp_path,ref_path):
"""Single phase Result file in temp location for modification."""
fname = '6grains6x7x8_single_phase_tensionY.hdf5'
- shutil.copy(reference_dir/fname,tmp_path)
+ shutil.copy(ref_path/fname,tmp_path)
return Result(tmp_path/fname)
@pytest.fixture
-def reference_dir(reference_dir_base):
+def ref_path(ref_path_base):
"""Directory containing reference results."""
- return reference_dir_base/'Result'
+ return ref_path_base/'Result'
class TestResult:
@@ -373,7 +373,7 @@ class TestResult:
os.chdir(tmp_path)
single_phase.save_VTK(mode=mode)
- def test_XDMF(self,tmp_path,single_phase,update,reference_dir):
+ def test_XDMF(self,tmp_path,single_phase,update,ref_path):
for shape in [('scalar',()),('vector',(3,)),('tensor',(3,3)),('matrix',(12,))]:
for dtype in ['f4','f8','i1','i2','i4','i8','u1','u2','u4','u8']:
single_phase.add_calculation(f'{shape[0]}_{dtype}',f"np.ones(np.shape(#F#)[0:1]+{shape[1]},'{dtype}')")
@@ -381,8 +381,8 @@ class TestResult:
os.chdir(tmp_path)
single_phase.save_XDMF()
if update:
- shutil.copy(tmp_path/fname,reference_dir/fname)
- assert sorted(open(tmp_path/fname).read()) == sorted(open(reference_dir/fname).read()) # XML is not ordered
+ shutil.copy(tmp_path/fname,ref_path/fname)
+ assert sorted(open(tmp_path/fname).read()) == sorted(open(ref_path/fname).read()) # XML is not ordered
def test_XDMF_invalid(self,default):
with pytest.raises(TypeError):
diff --git a/python/tests/test_Rotation.py b/python/tests/test_Rotation.py
index cc22aba4d..a827b7a70 100644
--- a/python/tests/test_Rotation.py
+++ b/python/tests/test_Rotation.py
@@ -11,9 +11,9 @@ n = 1000
atol=1.e-4
@pytest.fixture
-def reference_dir(reference_dir_base):
+def ref_path(ref_path_base):
"""Directory containing reference results."""
- return reference_dir_base/'Rotation'
+ return ref_path_base/'Rotation'
@pytest.fixture
def set_of_rotations(set_of_quaternions):
@@ -1016,12 +1016,12 @@ class TestRotation:
@pytest.mark.parametrize('fractions',[True,False])
@pytest.mark.parametrize('degrees',[True,False])
@pytest.mark.parametrize('N',[2**13,2**14,2**15])
- def test_ODF_cell(self,reference_dir,fractions,degrees,N):
+ def test_ODF_cell(self,ref_path,fractions,degrees,N):
steps = np.array([144,36,36])
limits = np.array([360.,90.,90.])
rng = tuple(zip(np.zeros(3),limits))
- weights = Table.load(reference_dir/'ODF_experimental_cell.txt').get('intensity').flatten()
+ weights = Table.load(ref_path/'ODF_experimental_cell.txt').get('intensity').flatten()
Eulers = grid_filters.cell_coord0(steps,limits)
Eulers = np.radians(Eulers) if not degrees else Eulers
@@ -1032,12 +1032,12 @@ class TestRotation:
@pytest.mark.parametrize('degrees',[True,False])
@pytest.mark.parametrize('N',[2**13,2**14,2**15])
- def test_ODF_node(self,reference_dir,degrees,N):
+ def test_ODF_node(self,ref_path,degrees,N):
steps = np.array([144,36,36])
limits = np.array([360.,90.,90.])
rng = tuple(zip(-limits/steps*.5,limits-limits/steps*.5))
- weights = Table.load(reference_dir/'ODF_experimental.txt').get('intensity')
+ weights = Table.load(ref_path/'ODF_experimental.txt').get('intensity')
weights = weights.reshape(steps+1,order='F')[:-1,:-1,:-1].reshape(-1,order='F')
Eulers = grid_filters.node_coord0(steps,limits)[:-1,:-1,:-1]
diff --git a/python/tests/test_Table.py b/python/tests/test_Table.py
index 8c4465dc1..b448e201d 100644
--- a/python/tests/test_Table.py
+++ b/python/tests/test_Table.py
@@ -11,9 +11,9 @@ def default():
return Table(x,{'F':(3,3),'v':(3,),'s':(1,)},['test data','contains only ones'])
@pytest.fixture
-def reference_dir(reference_dir_base):
+def ref_path(ref_path_base):
"""Directory containing reference results."""
- return reference_dir_base/'Table'
+ return ref_path_base/'Table'
class TestTable:
@@ -67,23 +67,23 @@ class TestTable:
default.save(tmp_path/'shouldnotbethere.txt',format='invalid')
@pytest.mark.parametrize('mode',['str','path'])
- def test_read_ang(self,reference_dir,mode):
+ def test_read_ang(self,ref_path,mode):
if mode == 'path':
- new = Table.load_ang(reference_dir/'simple.ang')
+ new = Table.load_ang(ref_path/'simple.ang')
elif mode == 'str':
- new = Table.load_ang(str(reference_dir/'simple.ang'))
+ new = Table.load_ang(str(ref_path/'simple.ang'))
assert new.data.shape == (4,10) and \
new.labels == ['eu', 'pos', 'IQ', 'CI', 'ID', 'intensity', 'fit']
- def test_read_ang_file(self,reference_dir):
- f = open(reference_dir/'simple.ang')
+ def test_read_ang_file(self,ref_path):
+ f = open(ref_path/'simple.ang')
new = Table.load_ang(f)
assert new.data.shape == (4,10) and \
new.labels == ['eu', 'pos', 'IQ', 'CI', 'ID', 'intensity', 'fit']
@pytest.mark.parametrize('fname',['datatype-mix.txt','whitespace-mix.txt'])
- def test_read_strange(self,reference_dir,fname):
- with open(reference_dir/fname) as f:
+ def test_read_strange(self,ref_path,fname):
+ with open(ref_path/fname) as f:
Table.load(f)
def test_set(self,default):
diff --git a/python/tests/test_VTK.py b/python/tests/test_VTK.py
index af4ecf918..1b90fff88 100644
--- a/python/tests/test_VTK.py
+++ b/python/tests/test_VTK.py
@@ -9,9 +9,9 @@ from damask import VTK
from damask import grid_filters
@pytest.fixture
-def reference_dir(reference_dir_base):
+def ref_path(ref_path_base):
"""Directory containing reference results."""
- return reference_dir_base/'VTK'
+ return ref_path_base/'VTK'
@pytest.fixture
def default():
@@ -140,18 +140,18 @@ class TestVTK:
new = VTK.load(tmp_path/'with_comments.vtr')
assert new.get_comments() == ['this is a comment']
- def test_compare_reference_polyData(self,update,reference_dir,tmp_path):
+ def test_compare_reference_polyData(self,update,ref_path,tmp_path):
points=np.dstack((np.linspace(0.,1.,10),np.linspace(0.,2.,10),np.linspace(-1.,1.,10))).squeeze()
polyData = VTK.from_poly_data(points)
polyData.add(points,'coordinates')
if update:
- polyData.save(reference_dir/'polyData')
+ polyData.save(ref_path/'polyData')
else:
- reference = VTK.load(reference_dir/'polyData.vtp')
+ reference = VTK.load(ref_path/'polyData.vtp')
assert polyData.__repr__() == reference.__repr__() and \
np.allclose(polyData.get('coordinates'),points)
- def test_compare_reference_rectilinearGrid(self,update,reference_dir,tmp_path):
+ def test_compare_reference_rectilinearGrid(self,update,ref_path,tmp_path):
grid = np.array([5,6,7],int)
size = np.array([.6,1.,.5])
rectilinearGrid = VTK.from_rectilinear_grid(grid,size)
@@ -160,8 +160,8 @@ class TestVTK:
rectilinearGrid.add(c,'cell')
rectilinearGrid.add(n,'node')
if update:
- rectilinearGrid.save(reference_dir/'rectilinearGrid')
+ rectilinearGrid.save(ref_path/'rectilinearGrid')
else:
- reference = VTK.load(reference_dir/'rectilinearGrid.vtr')
+ reference = VTK.load(ref_path/'rectilinearGrid.vtr')
assert rectilinearGrid.__repr__() == reference.__repr__() and \
np.allclose(rectilinearGrid.get('cell'),c)