Merge branch 'GitHub-Actions-Windows' into 'development'
test python library on Windows See merge request damask/DAMASK!554
This commit is contained in:
commit
2dfde6997b
|
@ -10,7 +10,7 @@ jobs:
|
|||
strategy:
|
||||
matrix:
|
||||
python-version: ['3.8', '3.9'] #, '3.10']
|
||||
os: [ubuntu-latest, macos-latest]
|
||||
os: [ubuntu-latest, macos-latest, windows-latest]
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
|
@ -25,11 +25,18 @@ jobs:
|
|||
python -m pip install --upgrade pip
|
||||
pip install pytest pandas scipy h5py vtk matplotlib pyyaml
|
||||
|
||||
- name: Install and run unit tests
|
||||
- name: Install and run unit tests (Unix)
|
||||
if: runner.os != 'Windows'
|
||||
run: |
|
||||
python -m pip install ./python --no-deps -vv --use-feature=in-tree-build
|
||||
COLUMNS=256 pytest python
|
||||
|
||||
- name: Install and run unit tests (Windows)
|
||||
if: runner.os == 'Windows'
|
||||
run: |
|
||||
python -m pip install ./python --no-deps -vv --use-feature=in-tree-build
|
||||
pytest python -k 'not XDMF'
|
||||
|
||||
apt:
|
||||
|
||||
runs-on: ubuntu-latest
|
||||
|
|
|
@ -144,7 +144,7 @@ class Config(dict):
|
|||
Configuration from file.
|
||||
|
||||
"""
|
||||
fhandle = open(Path(fname).expanduser()) if isinstance(fname, (str, Path)) else \
|
||||
fhandle = open(Path(fname).expanduser(),newline='\n') if isinstance(fname, (str, Path)) else \
|
||||
fname
|
||||
|
||||
return cls(yaml.safe_load(fhandle))
|
||||
|
|
|
@ -754,8 +754,8 @@ class Grid:
|
|||
# materials: 1
|
||||
|
||||
"""
|
||||
offset_ = np.array(offset,int) if offset is not None else np.zeros(3,int)
|
||||
cells_ = np.array(cells,int) if cells is not None else self.cells
|
||||
offset_ = np.array(offset,np.int64) if offset is not None else np.zeros(3,np.int64)
|
||||
cells_ = np.array(cells,np.int64) if cells is not None else self.cells
|
||||
|
||||
canvas = np.full(cells_,np.nanmax(self.material) + 1 if fill is None else fill,self.material.dtype)
|
||||
|
||||
|
@ -797,7 +797,7 @@ class Grid:
|
|||
|
||||
>>> import numpy as np
|
||||
>>> import damask
|
||||
>>> g = damask.Grid(np.zeros([32]*3,int), np.ones(3)*1e-4)
|
||||
>>> g = damask.Grid(np.zeros([32]*3,int),np.ones(3)*1e-4)
|
||||
>>> g.mirror('xy',True)
|
||||
cells : 64 x 64 x 32
|
||||
size : 0.0002 x 0.0002 x 0.0001 m³
|
||||
|
|
|
@ -1803,7 +1803,7 @@ class Result:
|
|||
if type(obj) == h5py.Dataset and _match(output,[name]):
|
||||
d = obj.attrs['description'] if h5py3 else obj.attrs['description'].decode()
|
||||
if not Path(name).exists() or overwrite:
|
||||
with open(name,'w') as f_out: f_out.write(obj[0].decode())
|
||||
with open(name,'w',newline='\n') as f_out: f_out.write(obj[0].decode())
|
||||
print(f'Exported {d} to "{name}".')
|
||||
else:
|
||||
print(f'"{name}" exists, {d} not exported.')
|
||||
|
|
|
@ -260,7 +260,7 @@ class Table:
|
|||
Table data from file.
|
||||
|
||||
"""
|
||||
f = open(Path(fname).expanduser()) if isinstance(fname, (str, Path)) else fname
|
||||
f = open(Path(fname).expanduser(),newline='\n') if isinstance(fname, (str, Path)) else fname
|
||||
f.seek(0)
|
||||
|
||||
comments = []
|
||||
|
@ -281,7 +281,7 @@ class Table:
|
|||
else:
|
||||
shapes[label] = (1,)
|
||||
|
||||
data = pd.read_csv(f,names=list(range(len(labels))),sep=r'\s+')
|
||||
data = pd.read_csv(f,names=list(range(len(labels))),sep=r'\s+',lineterminator='\n')
|
||||
|
||||
return Table(shapes,data,comments)
|
||||
|
||||
|
@ -312,7 +312,7 @@ class Table:
|
|||
Table data from file.
|
||||
|
||||
"""
|
||||
f = open(fname) if isinstance(fname, (str, Path)) else fname
|
||||
f = open(Path(fname).expanduser(),newline='\n') if isinstance(fname, (str, Path)) else fname
|
||||
f.seek(0)
|
||||
|
||||
content = f.readlines()
|
||||
|
@ -597,4 +597,4 @@ class Table:
|
|||
f = open(Path(fname).expanduser(),'w',newline='\n') if isinstance(fname, (str, Path)) else fname
|
||||
|
||||
f.write('\n'.join([f'# {c}' for c in self.comments] + [' '.join(labels)])+('\n' if labels else ''))
|
||||
self.data.to_csv(f,sep=' ',na_rep='nan',index=False,header=False)
|
||||
self.data.to_csv(f,sep=' ',na_rep='nan',index=False,header=False,line_terminator='\n')
|
||||
|
|
|
@ -159,8 +159,8 @@ def coordinates0_point(cells: _IntSequence,
|
|||
|
||||
"""
|
||||
size_ = _np.array(size,float)
|
||||
start = origin + size_/_np.array(cells,int)*.5
|
||||
end = origin + size_ - size_/_np.array(cells,int)*.5
|
||||
start = origin + size_/_np.array(cells,_np.int64)*.5
|
||||
end = origin + size_ - size_/_np.array(cells,_np.int64)*.5
|
||||
|
||||
return _np.stack(_np.meshgrid(_np.linspace(start[0],end[0],cells[0]),
|
||||
_np.linspace(start[1],end[1],cells[1]),
|
||||
|
@ -290,7 +290,7 @@ def cellsSizeOrigin_coordinates0_point(coordinates0: _np.ndarray,
|
|||
coords = [_np.unique(coordinates0[:,i]) for i in range(3)]
|
||||
mincorner = _np.array(list(map(min,coords)))
|
||||
maxcorner = _np.array(list(map(max,coords)))
|
||||
cells = _np.array(list(map(len,coords)),int)
|
||||
cells = _np.array(list(map(len,coords)),_np.int64)
|
||||
size = cells/_np.maximum(cells-1,1) * (maxcorner-mincorner)
|
||||
delta = size/cells
|
||||
origin = mincorner - delta*.5
|
||||
|
@ -455,7 +455,7 @@ def cellsSizeOrigin_coordinates0_node(coordinates0: _np.ndarray,
|
|||
coords = [_np.unique(coordinates0[:,i]) for i in range(3)]
|
||||
mincorner = _np.array(list(map(min,coords)))
|
||||
maxcorner = _np.array(list(map(max,coords)))
|
||||
cells = _np.array(list(map(len,coords)),int) - 1
|
||||
cells = _np.array(list(map(len,coords)),_np.int64) - 1
|
||||
size = maxcorner-mincorner
|
||||
origin = mincorner
|
||||
|
||||
|
|
|
@ -431,7 +431,7 @@ def hybrid_IA(dist: np.ndarray,
|
|||
|
||||
scale_,scale,inc_factor = (0.0,float(N_opt_samples),1.0)
|
||||
while (not np.isclose(scale, scale_)) and (N_inv_samples != N_opt_samples):
|
||||
repeats = np.rint(scale*dist).astype(int)
|
||||
repeats = np.rint(scale*dist).astype(np.int64)
|
||||
N_inv_samples = np.sum(repeats)
|
||||
scale_,scale,inc_factor = (scale,scale+inc_factor*0.5*(scale - scale_), inc_factor*2.0) \
|
||||
if N_inv_samples < N_opt_samples else \
|
||||
|
|
|
@ -1,3 +1,4 @@
|
|||
import sys
|
||||
import os
|
||||
import pytest
|
||||
import numpy as np
|
||||
|
@ -41,6 +42,7 @@ class TestConfigMaterial:
|
|||
material_config['material'][0]['constituents'][0]['O']=[0,0,0,0]
|
||||
assert not material_config.is_valid
|
||||
|
||||
@pytest.mark.xfail(sys.platform == 'win32', reason='utf8 "not equal" might cause trouble')
|
||||
def test_invalid_fraction(self,ref_path):
|
||||
material_config = ConfigMaterial.load(ref_path/'material.yaml')
|
||||
material_config['material'][0]['constituents'][0]['v']=.9
|
||||
|
|
|
@ -1,3 +1,5 @@
|
|||
import sys
|
||||
|
||||
import pytest
|
||||
import numpy as np
|
||||
import vtk
|
||||
|
@ -47,6 +49,7 @@ class TestGrid:
|
|||
|
||||
|
||||
@pytest.mark.parametrize('cmap',[Colormap.from_predefined('stress'),'viridis'])
|
||||
@pytest.mark.skipif(sys.platform == 'win32', reason='DISPLAY has no effect on windows')
|
||||
def test_show(sef,default,cmap,monkeypatch):
|
||||
monkeypatch.delenv('DISPLAY',raising=False)
|
||||
default.show(cmap)
|
||||
|
|
|
@ -108,7 +108,7 @@ class TestResult:
|
|||
assert np.allclose(in_memory,in_file)
|
||||
|
||||
@pytest.mark.parametrize('mode',
|
||||
['direct',pytest.param('function',marks=pytest.mark.xfail(sys.platform=='darwin',reason='n/a'))])
|
||||
['direct',pytest.param('function',marks=pytest.mark.xfail(sys.platform in ['darwin','win32'], reason='n/a'))])
|
||||
def test_add_calculation(self,default,tmp_path,mode):
|
||||
|
||||
if mode == 'direct':
|
||||
|
|
|
@ -2,6 +2,7 @@ import os
|
|||
import filecmp
|
||||
import time
|
||||
import string
|
||||
import sys
|
||||
|
||||
import pytest
|
||||
import numpy as np
|
||||
|
@ -31,6 +32,7 @@ class TestVTK:
|
|||
print('patched damask.util.execution_stamp')
|
||||
|
||||
@pytest.mark.parametrize('cmap',[Colormap.from_predefined('cividis'),'strain'])
|
||||
@pytest.mark.skipif(sys.platform == 'win32', reason='DISPLAY has no effect on windows')
|
||||
def test_show(sef,default,cmap,monkeypatch):
|
||||
monkeypatch.delenv('DISPLAY',raising=False)
|
||||
default.show(colormap=cmap)
|
||||
|
|
|
@ -1,5 +1,5 @@
|
|||
import sys
|
||||
import random
|
||||
import os
|
||||
|
||||
import pytest
|
||||
import numpy as np
|
||||
|
@ -11,14 +11,17 @@ from damask import util
|
|||
|
||||
class TestUtil:
|
||||
|
||||
@pytest.mark.xfail(sys.platform == 'win32', reason='echo is not a Windows command')
|
||||
def test_execute_direct(self):
|
||||
out,err = util.execute('echo test')
|
||||
assert out=='test\n' and err==''
|
||||
|
||||
@pytest.mark.xfail(sys.platform == 'win32', reason='echo is not a Windows command')
|
||||
def test_execute_env(self):
|
||||
out,err = util.execute('sh -c "echo $test_for_execute"',env={'test_for_execute':'test'})
|
||||
assert out=='test\n' and err==''
|
||||
|
||||
@pytest.mark.xfail(sys.platform == 'win32', reason='false is not a Windows command')
|
||||
def test_execute_runtime_error(self):
|
||||
with pytest.raises(RuntimeError):
|
||||
util.execute('false')
|
||||
|
@ -125,9 +128,9 @@ class TestUtil:
|
|||
def test_D3D_base_group(self,tmp_path,complete):
|
||||
base_group = ''.join(random.choices('DAMASK', k=10))
|
||||
with h5py.File(tmp_path/'base_group.dream3d','w') as f:
|
||||
f.create_group(os.path.join(base_group,'_SIMPL_GEOMETRY'))
|
||||
f.create_group('/'.join((base_group,'_SIMPL_GEOMETRY')))
|
||||
if complete:
|
||||
f[os.path.join(base_group,'_SIMPL_GEOMETRY')].create_dataset('SPACING',data=np.ones(3))
|
||||
f['/'.join((base_group,'_SIMPL_GEOMETRY'))].create_dataset('SPACING',data=np.ones(3))
|
||||
|
||||
if complete:
|
||||
assert base_group == util.DREAM3D_base_group(tmp_path/'base_group.dream3d')
|
||||
|
@ -141,12 +144,12 @@ class TestUtil:
|
|||
cell_data_group = ''.join(random.choices('KULeuven', k=10))
|
||||
cells = np.random.randint(1,50,3)
|
||||
with h5py.File(tmp_path/'cell_data_group.dream3d','w') as f:
|
||||
f.create_group(os.path.join(base_group,'_SIMPL_GEOMETRY'))
|
||||
f[os.path.join(base_group,'_SIMPL_GEOMETRY')].create_dataset('SPACING',data=np.ones(3))
|
||||
f[os.path.join(base_group,'_SIMPL_GEOMETRY')].create_dataset('DIMENSIONS',data=cells[::-1])
|
||||
f.create_group('/'.join((base_group,'_SIMPL_GEOMETRY')))
|
||||
f['/'.join((base_group,'_SIMPL_GEOMETRY'))].create_dataset('SPACING',data=np.ones(3))
|
||||
f['/'.join((base_group,'_SIMPL_GEOMETRY'))].create_dataset('DIMENSIONS',data=cells[::-1])
|
||||
f[base_group].create_group(cell_data_group)
|
||||
if complete:
|
||||
f[os.path.join(base_group,cell_data_group)].create_dataset('data',shape=np.append(cells,1))
|
||||
f['/'.join((base_group,cell_data_group))].create_dataset('data',shape=np.append(cells,1))
|
||||
|
||||
if complete:
|
||||
assert cell_data_group == util.DREAM3D_cell_data_group(tmp_path/'cell_data_group.dream3d')
|
||||
|
|
Loading…
Reference in New Issue