import re
import pytest
from pybind11_tests import numpy_dtypes as m
pytestmark = pytest.requires_numpy
with pytest.suppress(ImportError):
import numpy as np
@pytest.fixture(scope='module')
def simple_dtype():
ld = np.dtype('longdouble')
return np.dtype({'names': ['bool_', 'uint_', 'float_', 'ldbl_'],
'formats': ['?', 'u4', 'f4', 'f{}'.format(ld.itemsize)],
'offsets': [0, 4, 8, (16 if ld.alignment > 4 else 12)]})
@pytest.fixture(scope='module')
def packed_dtype():
return np.dtype([('bool_', '?'), ('uint_', 'u4'), ('float_', 'f4'), ('ldbl_', 'g')])
def dt_fmt():
from sys import byteorder
e = '<' if byteorder == 'little' else '>'
return ("{{'names':['bool_','uint_','float_','ldbl_'],"
" 'formats':['?','" + e + "u4','" + e + "f4','" + e + "f{}'],"
" 'offsets':[0,4,8,{}], 'itemsize':{}}}")
def simple_dtype_fmt():
ld = np.dtype('longdouble')
simple_ld_off = 12 + 4 * (ld.alignment > 4)
return dt_fmt().format(ld.itemsize, simple_ld_off, simple_ld_off + ld.itemsize)
def packed_dtype_fmt():
from sys import byteorder
return "[('bool_', '?'), ('uint_', '{e}u4'), ('float_', '{e}f4'), ('ldbl_', '{e}f{}')]".format(
np.dtype('longdouble').itemsize, e='<' if byteorder == 'little' else '>')
def partial_ld_offset():
return 12 + 4 * (np.dtype('uint64').alignment > 4) + 8 + 8 * (
np.dtype('longdouble').alignment > 8)
def partial_dtype_fmt():
ld = np.dtype('longdouble')
partial_ld_off = partial_ld_offset()
return dt_fmt().format(ld.itemsize, partial_ld_off, partial_ld_off + ld.itemsize)
def partial_nested_fmt():
ld = np.dtype('longdouble')
partial_nested_off = 8 + 8 * (ld.alignment > 8)
partial_ld_off = partial_ld_offset()
partial_nested_size = partial_nested_off * 2 + partial_ld_off + ld.itemsize
return "{{'names':['a'], 'formats':[{}], 'offsets':[{}], 'itemsize':{}}}".format(
partial_dtype_fmt(), partial_nested_off, partial_nested_size)
def assert_equal(actual, expected_data, expected_dtype):
np.testing.assert_equal(actual, np.array(expected_data, dtype=expected_dtype))
def test_format_descriptors():
with pytest.raises(RuntimeError) as excinfo:
m.get_format_unbound()
assert re.match('^NumPy type info missing for .*UnboundStruct.*$', str(excinfo.value))
ld = np.dtype('longdouble')
ldbl_fmt = ('4x' if ld.alignment > 4 else '') + ld.char
ss_fmt = "^T{?:bool_:3xI:uint_:f:float_:" + ldbl_fmt + ":ldbl_:}"
dbl = np.dtype('double')
partial_fmt = ("^T{?:bool_:3xI:uint_:f:float_:" +
str(4 * (dbl.alignment > 4) + dbl.itemsize + 8 * (ld.alignment > 8)) +
"xg:ldbl_:}")
nested_extra = str(max(8, ld.alignment))
assert m.print_format_descriptors() == [
ss_fmt,
"^T{?:bool_:I:uint_:f:float_:g:ldbl_:}",
"^T{" + ss_fmt + ":a:^T{?:bool_:I:uint_:f:float_:g:ldbl_:}:b:}",
partial_fmt,
"^T{" + nested_extra + "x" + partial_fmt + ":a:" + nested_extra + "x}",
"^T{3s:a:3s:b:}",
"^T{(3)4s:a:(2)i:b:(3)B:c:1x(4, 2)f:d:}",
'^T{q:e1:B:e2:}',
'^T{Zf:cflt:Zd:cdbl:}'
]
def test_dtype(simple_dtype):
from sys import byteorder
e = '<' if byteorder == 'little' else '>'
assert m.print_dtypes() == [
simple_dtype_fmt(),
packed_dtype_fmt(),
"[('a', {}), ('b', {})]".format(simple_dtype_fmt(), packed_dtype_fmt()),
partial_dtype_fmt(),
partial_nested_fmt(),
"[('a', 'S3'), ('b', 'S3')]",
("{{'names':['a','b','c','d'], " +
"'formats':[('S4', (3,)),('" + e + "i4', (2,)),('u1', (3,)),('" + e + "f4', (4, 2))], " +
"'offsets':[0,12,20,24], 'itemsize':56}}").format(e=e),
"[('e1', '" + e + "i8'), ('e2', 'u1')]",
"[('x', 'i1'), ('y', '" + e + "u8')]",
"[('cflt', '" + e + "c8'), ('cdbl', '" + e + "c16')]"
]
d1 = np.dtype({'names': ['a', 'b'], 'formats': ['int32', 'float64'],
'offsets': [1, 10], 'itemsize': 20})
d2 = np.dtype([('a', 'i4'), ('b', 'f4')])
assert m.test_dtype_ctors() == [np.dtype('int32'), np.dtype('float64'),
np.dtype('bool'), d1, d1, np.dtype('uint32'), d2]
assert m.test_dtype_methods() == [np.dtype('int32'), simple_dtype, False, True,
np.dtype('int32').itemsize, simple_dtype.itemsize]
assert m.trailing_padding_dtype() == m.buffer_to_dtype(np.zeros(1, m.trailing_padding_dtype()))
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_array_constructors():
data = np.arange(1, 7, dtype='int32')
for i in range(8):
np.testing.assert_array_equal(m.test_array_ctors(10 + i), data.reshape((3, 2)))
np.testing.assert_array_equal(m.test_array_ctors(20 + i), data.reshape((3, 2)))
for i in range(5):
np.testing.assert_array_equal(m.test_array_ctors(30 + i), data)
np.testing.assert_array_equal(m.test_array_ctors(40 + i), data)
def test_string_array():
arr = m.create_string_array(True)
assert str(arr.dtype) == "[('a', 'S3'), ('b', 'S3')]"
assert m.print_string_array(arr) == [
"a='',b=''",
"a='a',b='a'",
"a='ab',b='ab'",
"a='abc',b='abc'"
]
dtype = arr.dtype
assert arr['a'].tolist() == [b'', b'a', b'ab', b'abc']
assert arr['b'].tolist() == [b'', b'a', b'ab', b'abc']
arr = m.create_string_array(False)
assert dtype == arr.dtype
def test_array_array():
from sys import byteorder
e = '<' if byteorder == 'little' else '>'
arr = m.create_array_array(3)
assert str(arr.dtype) == (
"{{'names':['a','b','c','d'], " +
"'formats':[('S4', (3,)),('" + e + "i4', (2,)),('u1', (3,)),('{e}f4', (4, 2))], " +
"'offsets':[0,12,20,24], 'itemsize':56}}").format(e=e)
assert m.print_array_array(arr) == [
"a={{A,B,C,D},{K,L,M,N},{U,V,W,X}},b={0,1}," +
"c={0,1,2},d={{0,1},{10,11},{20,21},{30,31}}",
"a={{W,X,Y,Z},{G,H,I,J},{Q,R,S,T}},b={1000,1001}," +
"c={10,11,12},d={{100,101},{110,111},{120,121},{130,131}}",
"a={{S,T,U,V},{C,D,E,F},{M,N,O,P}},b={2000,2001}," +
"c={20,21,22},d={{200,201},{210,211},{220,221},{230,231}}",
]
assert arr['a'].tolist() == [[b'ABCD', b'KLMN', b'UVWX'],
[b'WXYZ', b'GHIJ', b'QRST'],
[b'STUV', b'CDEF', b'MNOP']]
assert arr['b'].tolist() == [[0, 1], [1000, 1001], [2000, 2001]]
assert m.create_array_array(0).dtype == arr.dtype
def test_enum_array():
from sys import byteorder
e = '<' if byteorder == 'little' else '>'
arr = m.create_enum_array(3)
dtype = arr.dtype
assert dtype == np.dtype([('e1', e + 'i8'), ('e2', 'u1')])
assert m.print_enum_array(arr) == [
"e1=A,e2=X",
"e1=B,e2=Y",
"e1=A,e2=X"
]
assert arr['e1'].tolist() == [-1, 1, -1]
assert arr['e2'].tolist() == [1, 2, 1]
assert m.create_enum_array(0).dtype == dtype
def test_complex_array():
from sys import byteorder
e = '<' if byteorder == 'little' else '>'
arr = m.create_complex_array(3)
dtype = arr.dtype
assert dtype == np.dtype([('cflt', e + 'c8'), ('cdbl', e + 'c16')])
assert m.print_complex_array(arr) == [
"c:(0,0.25),(0.5,0.75)",
"c:(1,1.25),(1.5,1.75)",
"c:(2,2.25),(2.5,2.75)"
]
assert arr['cflt'].tolist() == [0.0 + 0.25j, 1.0 + 1.25j, 2.0 + 2.25j]
assert arr['cdbl'].tolist() == [0.5 + 0.75j, 1.5 + 1.75j, 2.5 + 2.75j]
assert m.create_complex_array(0).dtype == dtype
def test_signature(doc):
assert doc(m.create_rec_nested) == \
"create_rec_nested(arg0: int) -> numpy.ndarray[NestedStruct]"
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_register_dtype():
with pytest.raises(RuntimeError) as excinfo:
m.register_dtype()
assert 'dtype is already registered' in str(excinfo.value)
@pytest.unsupported_on_pypy
def test_str_leak():
from sys import getrefcount
fmt = "f4"
pytest.gc_collect()
start = getrefcount(fmt)
d = m.dtype_wrapper(fmt)
assert d is np.dtype("f4")
del d
pytest.gc_collect()
assert getrefcount(fmt) == start
def test_compare_buffer_info():
assert all(m.compare_buffer_info())