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import pystencils as ps
from pystencils.field import Field, FieldType, layout_string_to_tuple
def test_field_basic():
f = Field.create_generic('f', spatial_dimensions=2)
assert FieldType.is_generic(f)
assert f['E'] == f[1, 0]
assert f['N'] == f[0, 1]
assert '_' in f.center._latex('dummy')
assert f.index_to_physical(index_coordinates=sp.Matrix([0, 0]), staggered=False)[0] == 0
assert f.index_to_physical(index_coordinates=sp.Matrix([0, 0]), staggered=False)[1] == 0
assert f.physical_to_index(physical_coordinates=sp.Matrix([0, 0]), staggered=False)[0] == 0
assert f.physical_to_index(physical_coordinates=sp.Matrix([0, 0]), staggered=False)[1] == 0
f1 = f.new_field_with_different_name("f1")
assert f1.ndim == f.ndim
assert f1.values_per_cell() == f.values_per_cell()
fixed = ps.fields("f(5, 5) : double[20, 20]")
assert fixed.neighbor_vector((1, 1)).shape == (5, 5)
f = Field.create_fixed_size('f', (10, 10), strides=(80, 8), dtype=np.float64)
assert f.spatial_strides == (10, 1)
assert f.index_strides == ()
assert f.center_vector == sp.Matrix([f.center])
f1 = f.new_field_with_different_name("f1")
assert f1.ndim == f.ndim
assert f1.values_per_cell() == f.values_per_cell()
f = Field.create_fixed_size('f', (8, 8, 2, 2), index_dimensions=2)
assert f.center_vector == sp.Matrix([[f(0, 0), f(0, 1)],
[f(1, 0), f(1, 1)]])
field_access = f[1, 1]
assert field_access.nr_of_coordinates == 2
assert field_access.offset_name == 'NE'
neighbor = field_access.neighbor(coord_id=0, offset=-2)
assert neighbor.offsets == (-1, 1)
assert '_' in neighbor._latex('dummy')
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f = Field.create_fixed_size('f', (8, 8, 2, 2, 2), index_dimensions=3)
assert f.center_vector == sp.Array([[[f(i, j, k) for k in range(2)] for j in range(2)] for i in range(2)])
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f = Field.create_generic('f', spatial_dimensions=5, index_dimensions=2)
field_access = f[1, -1, 2, -3, 0](1, 0)
assert field_access.offsets == (1, -1, 2, -3, 0)
assert field_access.index == (1, 0)
def test_error_handling():
struct_dtype = np.dtype([('a', np.int32), ('b', np.float64), ('c', np.uint32)])
Field.create_generic('f', spatial_dimensions=2, index_dimensions=0, dtype=struct_dtype)
with pytest.raises(ValueError) as e:
Field.create_generic('f', spatial_dimensions=2, index_dimensions=1, dtype=struct_dtype)
assert 'index dimension' in str(e.value)
arr = np.array([[[(1,)*3, (2,)*3, (3,)*3]]*2], dtype=struct_dtype)
Field.create_from_numpy_array('f', arr, index_dimensions=0)
with pytest.raises(ValueError) as e:
Field.create_from_numpy_array('f', arr, index_dimensions=1)
assert 'Structured arrays' in str(e.value)
arr = np.zeros([3, 3, 3])
Field.create_from_numpy_array('f', arr, index_dimensions=2)
with pytest.raises(ValueError) as e:
Field.create_from_numpy_array('f', arr, index_dimensions=3)
assert 'Too many' in str(e.value)
Field.create_fixed_size('f', (3, 2, 4), index_dimensions=0, dtype=struct_dtype, layout='reverse_numpy')
with pytest.raises(ValueError) as e:
Field.create_fixed_size('f', (3, 2, 4), index_dimensions=1, dtype=struct_dtype, layout='reverse_numpy')
assert 'Structured arrays' in str(e.value)
f = Field.create_fixed_size('f', (10, 10))
with pytest.raises(ValueError) as e:
f[1]
assert 'Wrong number of spatial indices' in str(e.value)
f = Field.create_generic('f', spatial_dimensions=2, index_shape=(3,))
with pytest.raises(ValueError) as e:
f(3)
assert 'out of bounds' in str(e.value)
f = Field.create_fixed_size('f', (10, 10, 3, 4), index_dimensions=2)
with pytest.raises(ValueError) as e:
f(3, 0)
assert 'out of bounds' in str(e.value)
with pytest.raises(ValueError) as e:
f(1, 0)(1, 0)
assert 'Indexing an already indexed' in str(e.value)
with pytest.raises(ValueError) as e:
f(1)
assert 'Wrong number of indices' in str(e.value)
with pytest.raises(ValueError) as e:
Field.create_generic('f', spatial_dimensions=2, layout='wrong')
assert 'Unknown layout descriptor' in str(e.value)
assert layout_string_to_tuple('fzyx', dim=4) == (3, 2, 1, 0)
with pytest.raises(ValueError) as e:
layout_string_to_tuple('wrong', dim=4)
assert 'Unknown layout descriptor' in str(e.value)
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def test_decorator_scoping():
dst = ps.fields('dst : double[2D]')
def f1():
a = sp.Symbol("a")
def f2():
b = sp.Symbol("b")
@ps.kernel
def decorated_func():
dst[0, 0] @= a + b
return decorated_func
return f2
assert f1()(), ps.Assignment(dst[0, 0], sp.Symbol("a") + sp.Symbol("b"))
def test_string_creation():
x, y, z = ps.fields(' x(4), y(3,5) z : double[ 3, 47]')
assert x.index_shape == (4,)
assert y.index_shape == (3, 5)
assert z.spatial_shape == (3, 47)
def test_itemsize():
x = ps.fields('x: float32[1d]')
y = ps.fields('y: float64[2d]')
i = ps.fields('i: int16[1d]')
assert x.itemsize == 4
assert y.itemsize == 8
assert i.itemsize == 2
j1, j2, j3 = ps.fields('j1(2), j2(2,2), j3(2,2,2) : double[2D]', field_type=FieldType.STAGGERED)
assert j1[0, 1](1) == j1.staggered_access((0, sp.Rational(1, 2)))
assert j1[0, 1](1) == j1.staggered_access(np.array((0, sp.Rational(1, 2))))
assert j1[1, 1](1) == j1.staggered_access((1, sp.Rational(1, 2)))
assert j1[0, 2](1) == j1.staggered_access((0, sp.Rational(3, 2)))
assert j1[0, 0](1) == j1.staggered_access("S")
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assert j1.staggered_vector_access("N") == sp.Matrix([j1.staggered_access("N")])
assert j1.staggered_stencil_name == 'D2Q5'
assert j1.physical_coordinates[0] == TypedSymbol("ctr_0", create_type("int"), nonnegative=True)
assert j1.physical_coordinates[1] == TypedSymbol("ctr_1", create_type("int"), nonnegative=True)
assert j1.physical_coordinates_staggered[0] == TypedSymbol("ctr_0", create_type("int"), nonnegative=True) + 0.5
assert j1.physical_coordinates_staggered[1] == TypedSymbol("ctr_1", create_type("int"), nonnegative=True) + 0.5
assert j1.index_to_physical(index_coordinates=sp.Matrix([0, 0]), staggered=True)[0] == 0.5
assert j1.index_to_physical(index_coordinates=sp.Matrix([0, 0]), staggered=True)[1] == 0.5
assert j1.physical_to_index(physical_coordinates=sp.Matrix([0, 0]), staggered=True)[0] == -0.5
assert j1.physical_to_index(physical_coordinates=sp.Matrix([0, 0]), staggered=True)[1] == -0.5
assert j2[0, 1](1, 1) == j2.staggered_access((0, sp.Rational(1, 2)), 1)
assert j2[0, 1](1, 1) == j2.staggered_access("N", 1)
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assert j2.staggered_vector_access("N") == sp.Matrix([j2.staggered_access("N", 0), j2.staggered_access("N", 1)])
assert j3[0, 1](1, 1, 1) == j3.staggered_access((0, sp.Rational(1, 2)), (1, 1))
assert j3[0, 1](1, 1, 1) == j3.staggered_access("N", (1, 1))
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assert j3.staggered_vector_access("N") == sp.Matrix([[j3.staggered_access("N", (i, j))
for j in range(2)] for i in range(2)])
k1, k2 = ps.fields('k1(4), k2(2) : double[2D]', field_type=FieldType.STAGGERED)
assert k1[1, 1](2) == k1.staggered_access("NE")
assert k1[0, 0](2) == k1.staggered_access("SW")
assert k1[0, 0](3) == k1.staggered_access("NW")
a = k1.staggered_access("NE")
assert a._staggered_offset(a.offsets, a.index[0]) == [sp.Rational(1, 2), sp.Rational(1, 2)]
a = k1.staggered_access("SW")
assert a._staggered_offset(a.offsets, a.index[0]) == [sp.Rational(-1, 2), sp.Rational(-1, 2)]
a = k1.staggered_access("NW")
assert a._staggered_offset(a.offsets, a.index[0]) == [sp.Rational(-1, 2), sp.Rational(1, 2)]
# sign reversed when using as flux field
r = ps.fields('r(2) : double[2D]', field_type=FieldType.STAGGERED_FLUX)
assert r[0, 0](0) == r.staggered_access("W")
assert -r[1, 0](0) == r.staggered_access("E")