47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
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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(65).reshape((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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class TestTable:
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def test_get_tensor(self,default):
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d = default.get_array('F')
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assert np.allclose(d,1.0) and d.shape[1:] == (3,3)
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def test_get_vector(self,default):
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d = default.get_array('v')
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assert np.allclose(d,1.0) and d.shape[1:] == (3,)
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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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def test_set_array(self,default):
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default.set_array('F',np.zeros((5,3,3)),'set to zero')
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d=default.get_array('F')
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assert np.allclose(d,0.0) and d.shape[1:] == (3,3)
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def test_get_labels(self,default):
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assert default.get_labels() == ['F','v','s']
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def test_add_array(self,default):
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d = np.random.random((5,9))
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default.add_array('nine',d,'random data')
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assert np.allclose(d,default.get_array('nine'))
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