def test_recarray(simple_dtype, packed_dtype):
elements = [(False, 0, 0.0, -0.0), (True, 1, 1.5, -2.5),
(False, 2, 3.0, -5.0)]
for func, dtype in [(m.create_rec_simple, simple_dtype),
(m.create_rec_packed, packed_dtype)]:
arr = func(0)
assert arr.dtype == dtype
assert_equal(arr, [], simple_dtype)
assert_equal(arr, [], packed_dtype)
arr = func(3)
assert arr.dtype == dtype
assert_equal(arr, elements, simple_dtype)
assert_equal(arr, elements, packed_dtype)
# Show what recarray's look like in NumPy.
assert type(arr[0]) == np.void
assert type(arr[0].item()) == tuple
if dtype == simple_dtype:
assert m.print_rec_simple(arr) == [
"s:0,0,0,-0", "s:1,1,1.5,-2.5", "s:0,2,3,-5"
]
else:
assert m.print_rec_packed(arr) == [
"p:0,0,0,-0", "p:1,1,1.5,-2.5", "p:0,2,3,-5"
]
nested_dtype = np.dtype([('a', simple_dtype), ('b', packed_dtype)])
arr = m.create_rec_nested(0)
assert arr.dtype == nested_dtype
assert_equal(arr, [], nested_dtype)
arr = m.create_rec_nested(3)
assert arr.dtype == nested_dtype
assert_equal(arr, [((False, 0, 0.0, -0.0), (True, 1, 1.5, -2.5)),
((True, 1, 1.5, -2.5), (False, 2, 3.0, -5.0)),
((False, 2, 3.0, -5.0), (True, 3, 4.5, -7.5))],
nested_dtype)
assert m.print_rec_nested(arr) == [
"n:a=s:0,0,0,-0;b=p:1,1,1.5,-2.5", "n:a=s:1,1,1.5,-2.5;b=p:0,2,3,-5",
"n:a=s:0,2,3,-5;b=p:1,3,4.5,-7.5"
]
arr = m.create_rec_partial(3)
assert str(arr.dtype) == partial_dtype_fmt()
partial_dtype = arr.dtype
assert '' not in arr.dtype.fields
assert partial_dtype.itemsize > simple_dtype.itemsize
assert_equal(arr, elements, simple_dtype)
assert_equal(arr, elements, packed_dtype)
arr = m.create_rec_partial_nested(3)
assert str(arr.dtype) == partial_nested_fmt()
assert '' not in arr.dtype.fields
assert '' not in arr.dtype.fields['a'][0].fields
assert arr.dtype.itemsize > partial_dtype.itemsize
np.testing.assert_equal(arr['a'], m.create_rec_partial(3))
def test_recarray(simple_dtype, packed_dtype):
elements = [(False, 0, 0.0, -0.0), (True, 1, 1.5, -2.5), (False, 2, 3.0, -5.0)]
for func, dtype in [(m.create_rec_simple, simple_dtype), (m.create_rec_packed, packed_dtype)]:
arr = func(0)
assert arr.dtype == dtype
assert_equal(arr, [], simple_dtype)
assert_equal(arr, [], packed_dtype)
arr = func(3)
assert arr.dtype == dtype
assert_equal(arr, elements, simple_dtype)
assert_equal(arr, elements, packed_dtype)
if dtype == simple_dtype:
assert m.print_rec_simple(arr) == [
"s:0,0,0,-0",
"s:1,1,1.5,-2.5",
"s:0,2,3,-5"
]
else:
assert m.print_rec_packed(arr) == [
"p:0,0,0,-0",
"p:1,1,1.5,-2.5",
"p:0,2,3,-5"
]
nested_dtype = np.dtype([('a', simple_dtype), ('b', packed_dtype)])
arr = m.create_rec_nested(0)
assert arr.dtype == nested_dtype
assert_equal(arr, [], nested_dtype)
arr = m.create_rec_nested(3)
assert arr.dtype == nested_dtype
assert_equal(arr, [((False, 0, 0.0, -0.0), (True, 1, 1.5, -2.5)),
((True, 1, 1.5, -2.5), (False, 2, 3.0, -5.0)),
((False, 2, 3.0, -5.0), (True, 3, 4.5, -7.5))], nested_dtype)
assert m.print_rec_nested(arr) == [
"n:a=s:0,0,0,-0;b=p:1,1,1.5,-2.5",
"n:a=s:1,1,1.5,-2.5;b=p:0,2,3,-5",
"n:a=s:0,2,3,-5;b=p:1,3,4.5,-7.5"
]
arr = m.create_rec_partial(3)
assert str(arr.dtype) == partial_dtype_fmt()
partial_dtype = arr.dtype
assert '' not in arr.dtype.fields
assert partial_dtype.itemsize > simple_dtype.itemsize
assert_equal(arr, elements, simple_dtype)
assert_equal(arr, elements, packed_dtype)
arr = m.create_rec_partial_nested(3)
assert str(arr.dtype) == partial_nested_fmt()
assert '' not in arr.dtype.fields
assert '' not in arr.dtype.fields['a'][0].fields
assert arr.dtype.itemsize > partial_dtype.itemsize
np.testing.assert_equal(arr['a'], m.create_rec_partial(3))
def test_scalar_conversion():
n = 3
arrays = [m.create_rec_simple(n), m.create_rec_packed(n),
m.create_rec_nested(n), m.create_enum_array(n)]
funcs = [m.f_simple, m.f_packed, m.f_nested]
for i, func in enumerate(funcs):
for j, arr in enumerate(arrays):
if i == j and i < 2:
assert [func(arr[k]) for k in range(n)] == [k * 10 for k in range(n)]
else:
with pytest.raises(TypeError) as excinfo:
func(arr[0])
assert 'incompatible function arguments' in str(excinfo.value)
def test_scalar_conversion():
n = 3
arrays = [m.create_rec_simple(n), m.create_rec_packed(n),
m.create_rec_nested(n), m.create_enum_array(n)]
funcs = [m.f_simple, m.f_packed, m.f_nested]
for i, func in enumerate(funcs):
for j, arr in enumerate(arrays):
if i == j and i < 2:
assert [func(arr[k]) for k in range(n)] == [k * 10 for k in range(n)]
else:
with pytest.raises(TypeError) as excinfo:
func(arr[0])
assert 'incompatible function arguments' in str(excinfo.value)
