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Tests for gradient

This commit is contained in:
Vitesh Shah 2020-05-04 16:57:08 +02:00
parent 9273c88782
commit 0650f46ab1
1 changed files with 60 additions and 0 deletions
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python/tests/test_grid_filters.py
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@ -168,3 +168,63 @@ class TestGridFilters:
curl = curl.reshape(tuple(grid) + ((3,3) if len(curl_def)==9 else (3,)))
assert np.allclose(curl,grid_filters.curl(size,field))
grad_test_data = [(['np.sin(np.pi*2*nodes[...,0]/size[0])', '0.0', '0.0'],
['np.cos(np.pi*2*nodes[...,0]/size[0])*np.pi*2/size[0]','0.0', '0.0',
'0.0', '0.0', '0.0',
'0.0', '0.0', '0.0']),
(['0.0', 'np.cos(np.pi*2*nodes[...,1]/size[1])', '0.0' ],
['0.0', '0.0', '0.0',
'0.0', '-np.pi*2/size[1]*np.sin(np.pi*2*nodes[...,1]/size[1])', '0.0',
'0.0', '0.0', '0.0' ]),
(['1.0', '0.0', '2.0*np.cos(np.pi*2*nodes[...,2]/size[2])'],
['0.0', '0.0', '0.0',
'0.0', '0.0', '0.0',
'0.0', '0.0', '-2.0*np.pi*2/size[2]*np.sin(np.pi*2*nodes[...,2]/size[2])']),
(['np.cos(np.pi*2*nodes[...,2]/size[2])', '3.0', 'np.sin(np.pi*2*nodes[...,2]/size[2])'],
['0.0', '0.0', '-np.sin(np.pi*2*nodes[...,2]/size[2])*np.pi*2/size[2]',
'0.0', '0.0', '0.0',
'0.0', '0.0', 'np.cos(np.pi*2*nodes[...,2]/size[2])*np.pi*2/size[2]']),
(['np.sin(np.pi*2*nodes[...,0]/size[0])','np.sin(np.pi*2*nodes[...,1]/size[1])','np.sin(np.pi*2*nodes[...,2]/size[2])'],
['np.cos(np.pi*2*nodes[...,0]/size[0])*np.pi*2/size[0]', '0.0', '0.0',
'0.0', 'np.cos(np.pi*2*nodes[...,1]/size[1])*np.pi*2/size[1]', '0.0',
'0.0', '0.0', 'np.cos(np.pi*2*nodes[...,2]/size[2])*np.pi*2/size[2]']),
(['np.sin(np.pi*2*nodes[...,0]/size[0])' ],
['np.cos(np.pi*2*nodes[...,0]/size[0])*np.pi*2/size[0]', '0.0', '0.0' ])
]
# @pytest.mark.parametrize('field_def,grad_def',
# [(['0.0', 'np.cos(np.pi*2*nodes[...,1]/size[1])', '0.0' ],
# ['0.0', '0.0', '0.0',
# '0.0', '-np.pi*2/size[1]*np.sin(np.pi*2*nodes[...,1]/size[1])', '0.0',
# '0.0', '0.0', '0.0' ])
# ])
@pytest.mark.parametrize('field_def,grad_def',grad_test_data)
def test_grad(self,field_def,grad_def):
# size = np.random.random(3)+1.0
# grid = np.random.randint(8,32,(3))
size = np.array([1.0,1.0,1.0])
grid = np.array([2,5,3])
nodes = grid_filters.cell_coord0(grid,size)
# print('y nodes are',nodes[...,1])
# print('inner bracket is',np.pi*2*nodes[...,1]/size[1])
my_locals = locals() # needed for list comprehension
print('field length is',len(field_def))
field = np.stack([np.broadcast_to(eval(f,globals(),my_locals),grid) for f in field_def],axis=-1)
print('field initial shape is',field.shape)
field = field.reshape(tuple(grid) + ((3,3) if len(field_def)==9 else (3,)))
print('field is',field.shape)
grad = np.stack([np.broadcast_to(eval(c,globals(),my_locals),grid) for c in grad_def], axis=-1)
grad = grad.reshape(tuple(grid) + ((3,3) if len(grad_def)==9 else (3,)))
print('gradient is',grad.shape)
print('code gradient is',grid_filters.gradient(size,field))
assert np.allclose(grad,grid_filters.gradient(size,field))