122 lines
3.6 KiB
Python
122 lines
3.6 KiB
Python
import os
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import pytest
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import numpy as np
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from damask import Table
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@pytest.fixture
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def default():
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"""Simple Table."""
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x = np.ones((5,13))
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return Table(x,{'F':(3,3),'v':(3,),'s':(1,)},['test data','contains only ones'])
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@pytest.fixture
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def reference_dir(reference_dir_base):
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"""Directory containing reference results."""
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return os.path.join(reference_dir_base,'Table')
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class TestTable:
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def test_get_scalar(self,default):
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d = default.get('s')
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assert np.allclose(d,1.0) and d.shape[1:] == (1,)
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def test_get_vector(self,default):
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d = default.get('v')
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assert np.allclose(d,1.0) and d.shape[1:] == (3,)
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def test_get_tensor(self,default):
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d = default.get('F')
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assert np.allclose(d,1.0) and d.shape[1:] == (3,3)
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def test_get_component(self,default):
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d = default.get('5_F')
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assert np.allclose(d,1.0) and d.shape[1:] == (1,)
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def test_write_read_str(self,default,tmpdir):
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default.to_ASCII(str(tmpdir.join('default.txt')))
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new = Table.from_ASCII(str(tmpdir.join('default.txt')))
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assert all(default.data==new.data)
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def test_write_read_file(self,default,tmpdir):
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with open(tmpdir.join('default.txt'),'w') as f:
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default.to_ASCII(f)
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with open(tmpdir.join('default.txt')) as f:
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new = Table.from_ASCII(f)
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assert all(default.data==new.data)
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@pytest.mark.parametrize('fname',['datatype-mix.txt','whitespace-mix.txt'])
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def test_read_strange(self,reference_dir,fname):
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with open(os.path.join(reference_dir,fname)) as f:
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Table.from_ASCII(f)
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def test_set(self,default):
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default.set('F',np.zeros((5,3,3)),'set to zero')
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d=default.get('F')
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assert np.allclose(d,0.0) and d.shape[1:] == (3,3)
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def test_labels(self,default):
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assert default.labels() == ['F','v','s']
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def test_add(self,default):
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d = np.random.random((5,9))
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default.add('nine',d,'random data')
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assert np.allclose(d,default.get('nine'))
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def test_rename_equivalent(self,default):
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v = default.get('v')
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default.rename('v','u')
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u = default.get('u')
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assert np.all(v == u)
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def test_rename_gone(self,default):
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default.rename('v','V')
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with pytest.raises(KeyError):
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default.get('v')
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def test_delete(self,default):
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default.delete('v')
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with pytest.raises(KeyError):
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default.get('v')
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def test_invalid_initialization(self,default):
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x = default.get('v')
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with pytest.raises(IndexError):
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Table(x,{'F':(3,3)})
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def test_invalid_set(self,default):
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x = default.get('v')
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with pytest.raises(ValueError):
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default.set('F',x,'does not work')
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def test_invalid_get(self,default):
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with pytest.raises(KeyError):
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default.get('n')
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def test_sort_scalar(self):
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x = np.random.random((5,13))
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t = Table(x,{'F':(3,3),'v':(3,),'s':(1,)},['random test data'])
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unsort = t.get('s')
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t.sort_by('s')
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sort = t.get('s')
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assert np.all(np.sort(unsort,0)==sort)
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def test_sort_component(self):
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x = np.random.random((5,12))
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t = Table(x,{'F':(3,3),'v':(3,)},['random test data'])
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unsort = t.get('4_F')
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t.sort_by('4_F')
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sort = t.get('4_F')
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assert np.all(np.sort(unsort,0)==sort)
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def test_sort_revert(self):
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x = np.random.random((5,12))
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t = Table(x,{'F':(3,3),'v':(3,)},['random test data'])
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t.sort_by('4_F',False)
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sort = t.get('4_F')
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assert np.all(np.sort(sort,0)==sort[::-1,:])
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