DAMASK_EICMD/python/tests/test_Table.py

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import pytest
import numpy as np
from damask import Table
@pytest.fixture
def default():
"""Simple Table."""
x = np.ones((5,13))
return Table(x,{'F':(3,3),'v':(3,),'s':(1,)},['test data','contains only ones'])
class TestTable:
def test_get_tensor(self,default):
d = default.get_array('F')
assert np.allclose(d,1.0) and d.shape[1:] == (3,3)
def test_get_vector(self,default):
d = default.get_array('v')
assert np.allclose(d,1.0) and d.shape[1:] == (3,)
def test_write_read_str(self,default,tmpdir):
default.to_ASCII(str(tmpdir.join('default.txt')))
new = Table.from_ASCII(str(tmpdir.join('default.txt')))
assert all(default.data==new.data)
def test_write_read_file(self,default,tmpdir):
with open(tmpdir.join('default.txt'),'w') as f:
default.to_ASCII(f)
with open(tmpdir.join('default.txt')) as f:
new = Table.from_ASCII(f)
assert all(default.data==new.data)
def test_set_array(self,default):
default.set_array('F',np.zeros((5,3,3)),'set to zero')
d=default.get_array('F')
assert np.allclose(d,0.0) and d.shape[1:] == (3,3)
def test_get_labels(self,default):
assert default.get_labels() == ['F','v','s']
def test_add_array(self,default):
d = np.random.random((5,9))
default.add_array('nine',d,'random data')
assert np.allclose(d,default.get_array('nine'))
def test_invalid_initialization(self,default):
x = default.get_array('v')
with pytest.raises(IndexError):
Table(x,{'F':(3,3)})
def test_invalid_set(self,default):
x = default.get_array('v')
with pytest.raises(ValueError):
default.set_array('F',x,'does not work')