AlkantarClanX12
Your IP : 3.144.90.108
import os
import sys
import copy
import platform
import pytest
import numpy as np
from numpy.testing import assert_, assert_equal
from numpy.core.multiarray import typeinfo as _typeinfo
from . import util
wrap = None
# Extend core typeinfo with CHARACTER to test dtype('c')
_ti = _typeinfo['STRING']
typeinfo = dict(
CHARACTER=type(_ti)(('c', _ti.num, 8, _ti.alignment, _ti.type)),
**_typeinfo)
def setup_module():
"""
Build the required testing extension module
"""
global wrap
# Check compiler availability first
if not util.has_c_compiler():
pytest.skip("No C compiler available")
if wrap is None:
config_code = """
config.add_extension('test_array_from_pyobj_ext',
sources=['wrapmodule.c', 'fortranobject.c'],
define_macros=[])
"""
d = os.path.dirname(__file__)
src = [
util.getpath("tests", "src", "array_from_pyobj", "wrapmodule.c"),
util.getpath("src", "fortranobject.c"),
util.getpath("src", "fortranobject.h"),
]
wrap = util.build_module_distutils(src, config_code,
"test_array_from_pyobj_ext")
def flags_info(arr):
flags = wrap.array_attrs(arr)[6]
return flags2names(flags)
def flags2names(flags):
info = []
for flagname in [
"CONTIGUOUS",
"FORTRAN",
"OWNDATA",
"ENSURECOPY",
"ENSUREARRAY",
"ALIGNED",
"NOTSWAPPED",
"WRITEABLE",
"WRITEBACKIFCOPY",
"UPDATEIFCOPY",
"BEHAVED",
"BEHAVED_RO",
"CARRAY",
"FARRAY",
]:
if abs(flags) & getattr(wrap, flagname, 0):
info.append(flagname)
return info
class Intent:
def __init__(self, intent_list=[]):
self.intent_list = intent_list[:]
flags = 0
for i in intent_list:
if i == "optional":
flags |= wrap.F2PY_OPTIONAL
else:
flags |= getattr(wrap, "F2PY_INTENT_" + i.upper())
self.flags = flags
def __getattr__(self, name):
name = name.lower()
if name == "in_":
name = "in"
return self.__class__(self.intent_list + [name])
def __str__(self):
return "intent(%s)" % (",".join(self.intent_list))
def __repr__(self):
return "Intent(%r)" % (self.intent_list)
def is_intent(self, *names):
for name in names:
if name not in self.intent_list:
return False
return True
def is_intent_exact(self, *names):
return len(self.intent_list) == len(names) and self.is_intent(*names)
intent = Intent()
_type_names = [
"BOOL",
"BYTE",
"UBYTE",
"SHORT",
"USHORT",
"INT",
"UINT",
"LONG",
"ULONG",
"LONGLONG",
"ULONGLONG",
"FLOAT",
"DOUBLE",
"CFLOAT",
"STRING1",
"STRING5",
"CHARACTER",
]
_cast_dict = {"BOOL": ["BOOL"]}
_cast_dict["BYTE"] = _cast_dict["BOOL"] + ["BYTE"]
_cast_dict["UBYTE"] = _cast_dict["BOOL"] + ["UBYTE"]
_cast_dict["BYTE"] = ["BYTE"]
_cast_dict["UBYTE"] = ["UBYTE"]
_cast_dict["SHORT"] = _cast_dict["BYTE"] + ["UBYTE", "SHORT"]
_cast_dict["USHORT"] = _cast_dict["UBYTE"] + ["BYTE", "USHORT"]
_cast_dict["INT"] = _cast_dict["SHORT"] + ["USHORT", "INT"]
_cast_dict["UINT"] = _cast_dict["USHORT"] + ["SHORT", "UINT"]
_cast_dict["LONG"] = _cast_dict["INT"] + ["LONG"]
_cast_dict["ULONG"] = _cast_dict["UINT"] + ["ULONG"]
_cast_dict["LONGLONG"] = _cast_dict["LONG"] + ["LONGLONG"]
_cast_dict["ULONGLONG"] = _cast_dict["ULONG"] + ["ULONGLONG"]
_cast_dict["FLOAT"] = _cast_dict["SHORT"] + ["USHORT", "FLOAT"]
_cast_dict["DOUBLE"] = _cast_dict["INT"] + ["UINT", "FLOAT", "DOUBLE"]
_cast_dict["CFLOAT"] = _cast_dict["FLOAT"] + ["CFLOAT"]
_cast_dict['STRING1'] = ['STRING1']
_cast_dict['STRING5'] = ['STRING5']
_cast_dict['CHARACTER'] = ['CHARACTER']
# 32 bit system malloc typically does not provide the alignment required by
# 16 byte long double types this means the inout intent cannot be satisfied
# and several tests fail as the alignment flag can be randomly true or fals
# when numpy gains an aligned allocator the tests could be enabled again
#
# Furthermore, on macOS ARM64, LONGDOUBLE is an alias for DOUBLE.
if ((np.intp().dtype.itemsize != 4 or np.clongdouble().dtype.alignment <= 8)
and sys.platform != "win32"
and (platform.system(), platform.processor()) != ("Darwin", "arm")):
_type_names.extend(["LONGDOUBLE", "CDOUBLE", "CLONGDOUBLE"])
_cast_dict["LONGDOUBLE"] = _cast_dict["LONG"] + [
"ULONG",
"FLOAT",
"DOUBLE",
"LONGDOUBLE",
]
_cast_dict["CLONGDOUBLE"] = _cast_dict["LONGDOUBLE"] + [
"CFLOAT",
"CDOUBLE",
"CLONGDOUBLE",
]
_cast_dict["CDOUBLE"] = _cast_dict["DOUBLE"] + ["CFLOAT", "CDOUBLE"]
class Type:
_type_cache = {}
def __new__(cls, name):
if isinstance(name, np.dtype):
dtype0 = name
name = None
for n, i in typeinfo.items():
if not isinstance(i, type) and dtype0.type is i.type:
name = n
break
obj = cls._type_cache.get(name.upper(), None)
if obj is not None:
return obj
obj = object.__new__(cls)
obj._init(name)
cls._type_cache[name.upper()] = obj
return obj
def _init(self, name):
self.NAME = name.upper()
if self.NAME == 'CHARACTER':
info = typeinfo[self.NAME]
self.type_num = getattr(wrap, 'NPY_STRING')
self.elsize = 1
self.dtype = np.dtype('c')
elif self.NAME.startswith('STRING'):
info = typeinfo[self.NAME[:6]]
self.type_num = getattr(wrap, 'NPY_STRING')
self.elsize = int(self.NAME[6:] or 0)
self.dtype = np.dtype(f'S{self.elsize}')
else:
info = typeinfo[self.NAME]
self.type_num = getattr(wrap, 'NPY_' + self.NAME)
self.elsize = info.bits // 8
self.dtype = np.dtype(info.type)
assert self.type_num == info.num
self.type = info.type
self.dtypechar = info.char
def __repr__(self):
return (f"Type({self.NAME})|type_num={self.type_num},"
f" dtype={self.dtype},"
f" type={self.type}, elsize={self.elsize},"
f" dtypechar={self.dtypechar}")
def cast_types(self):
return [self.__class__(_m) for _m in _cast_dict[self.NAME]]
def all_types(self):
return [self.__class__(_m) for _m in _type_names]
def smaller_types(self):
bits = typeinfo[self.NAME].alignment
types = []
for name in _type_names:
if typeinfo[name].alignment < bits:
types.append(Type(name))
return types
def equal_types(self):
bits = typeinfo[self.NAME].alignment
types = []
for name in _type_names:
if name == self.NAME:
continue
if typeinfo[name].alignment == bits:
types.append(Type(name))
return types
def larger_types(self):
bits = typeinfo[self.NAME].alignment
types = []
for name in _type_names:
if typeinfo[name].alignment > bits:
types.append(Type(name))
return types
class Array:
def __repr__(self):
return (f'Array({self.type}, {self.dims}, {self.intent},'
f' {self.obj})|arr={self.arr}')
def __init__(self, typ, dims, intent, obj):
self.type = typ
self.dims = dims
self.intent = intent
self.obj_copy = copy.deepcopy(obj)
self.obj = obj
# arr.dtypechar may be different from typ.dtypechar
self.arr = wrap.call(typ.type_num,
typ.elsize,
dims, intent.flags, obj)
assert isinstance(self.arr, np.ndarray)
self.arr_attr = wrap.array_attrs(self.arr)
if len(dims) > 1:
if self.intent.is_intent("c"):
assert (intent.flags & wrap.F2PY_INTENT_C)
assert not self.arr.flags["FORTRAN"]
assert self.arr.flags["CONTIGUOUS"]
assert (not self.arr_attr[6] & wrap.FORTRAN)
else:
assert (not intent.flags & wrap.F2PY_INTENT_C)
assert self.arr.flags["FORTRAN"]
assert not self.arr.flags["CONTIGUOUS"]
assert (self.arr_attr[6] & wrap.FORTRAN)
if obj is None:
self.pyarr = None
self.pyarr_attr = None
return
if intent.is_intent("cache"):
assert isinstance(obj, np.ndarray), repr(type(obj))
self.pyarr = np.array(obj).reshape(*dims).copy()
else:
self.pyarr = np.array(
np.array(obj, dtype=typ.dtypechar).reshape(*dims),
order=self.intent.is_intent("c") and "C" or "F",
)
assert self.pyarr.dtype == typ
self.pyarr.setflags(write=self.arr.flags["WRITEABLE"])
assert self.pyarr.flags["OWNDATA"], (obj, intent)
self.pyarr_attr = wrap.array_attrs(self.pyarr)
if len(dims) > 1:
if self.intent.is_intent("c"):
assert not self.pyarr.flags["FORTRAN"]
assert self.pyarr.flags["CONTIGUOUS"]
assert (not self.pyarr_attr[6] & wrap.FORTRAN)
else:
assert self.pyarr.flags["FORTRAN"]
assert not self.pyarr.flags["CONTIGUOUS"]
assert (self.pyarr_attr[6] & wrap.FORTRAN)
assert self.arr_attr[1] == self.pyarr_attr[1] # nd
assert self.arr_attr[2] == self.pyarr_attr[2] # dimensions
if self.arr_attr[1] <= 1:
assert self.arr_attr[3] == self.pyarr_attr[3], repr((
self.arr_attr[3],
self.pyarr_attr[3],
self.arr.tobytes(),
self.pyarr.tobytes(),
)) # strides
assert self.arr_attr[5][-2:] == self.pyarr_attr[5][-2:], repr((
self.arr_attr[5], self.pyarr_attr[5]
)) # descr
assert self.arr_attr[6] == self.pyarr_attr[6], repr((
self.arr_attr[6],
self.pyarr_attr[6],
flags2names(0 * self.arr_attr[6] - self.pyarr_attr[6]),
flags2names(self.arr_attr[6]),
intent,
)) # flags
if intent.is_intent("cache"):
assert self.arr_attr[5][3] >= self.type.elsize
else:
assert self.arr_attr[5][3] == self.type.elsize
assert (self.arr_equal(self.pyarr, self.arr))
if isinstance(self.obj, np.ndarray):
if typ.elsize == Type(obj.dtype).elsize:
if not intent.is_intent("copy") and self.arr_attr[1] <= 1:
assert self.has_shared_memory()
def arr_equal(self, arr1, arr2):
if arr1.shape != arr2.shape:
return False
return (arr1 == arr2).all()
def __str__(self):
return str(self.arr)
def has_shared_memory(self):
"""Check that created array shares data with input array."""
if self.obj is self.arr:
return True
if not isinstance(self.obj, np.ndarray):
return False
obj_attr = wrap.array_attrs(self.obj)
return obj_attr[0] == self.arr_attr[0]
class TestIntent:
def test_in_out(self):
assert str(intent.in_.out) == "intent(in,out)"
assert intent.in_.c.is_intent("c")
assert not intent.in_.c.is_intent_exact("c")
assert intent.in_.c.is_intent_exact("c", "in")
assert intent.in_.c.is_intent_exact("in", "c")
assert not intent.in_.is_intent("c")
class TestSharedMemory:
@pytest.fixture(autouse=True, scope="class", params=_type_names)
def setup_type(self, request):
request.cls.type = Type(request.param)
request.cls.array = lambda self, dims, intent, obj: Array(
Type(request.param), dims, intent, obj)
@property
def num2seq(self):
if self.type.NAME.startswith('STRING'):
elsize = self.type.elsize
return ['1' * elsize, '2' * elsize]
return [1, 2]
@property
def num23seq(self):
if self.type.NAME.startswith('STRING'):
elsize = self.type.elsize
return [['1' * elsize, '2' * elsize, '3' * elsize],
['4' * elsize, '5' * elsize, '6' * elsize]]
return [[1, 2, 3], [4, 5, 6]]
def test_in_from_2seq(self):
a = self.array([2], intent.in_, self.num2seq)
assert not a.has_shared_memory()
def test_in_from_2casttype(self):
for t in self.type.cast_types():
obj = np.array(self.num2seq, dtype=t.dtype)
a = self.array([len(self.num2seq)], intent.in_, obj)
if t.elsize == self.type.elsize:
assert a.has_shared_memory(), repr((self.type.dtype, t.dtype))
else:
assert not a.has_shared_memory()
@pytest.mark.parametrize("write", ["w", "ro"])
@pytest.mark.parametrize("order", ["C", "F"])
@pytest.mark.parametrize("inp", ["2seq", "23seq"])
def test_in_nocopy(self, write, order, inp):
"""Test if intent(in) array can be passed without copies"""
seq = getattr(self, "num" + inp)
obj = np.array(seq, dtype=self.type.dtype, order=order)
obj.setflags(write=(write == 'w'))
a = self.array(obj.shape,
((order == 'C' and intent.in_.c) or intent.in_), obj)
assert a.has_shared_memory()
def test_inout_2seq(self):
obj = np.array(self.num2seq, dtype=self.type.dtype)
a = self.array([len(self.num2seq)], intent.inout, obj)
assert a.has_shared_memory()
try:
a = self.array([2], intent.in_.inout, self.num2seq)
except TypeError as msg:
if not str(msg).startswith(
"failed to initialize intent(inout|inplace|cache) array"):
raise
else:
raise SystemError("intent(inout) should have failed on sequence")
def test_f_inout_23seq(self):
obj = np.array(self.num23seq, dtype=self.type.dtype, order="F")
shape = (len(self.num23seq), len(self.num23seq[0]))
a = self.array(shape, intent.in_.inout, obj)
assert a.has_shared_memory()
obj = np.array(self.num23seq, dtype=self.type.dtype, order="C")
shape = (len(self.num23seq), len(self.num23seq[0]))
try:
a = self.array(shape, intent.in_.inout, obj)
except ValueError as msg:
if not str(msg).startswith(
"failed to initialize intent(inout) array"):
raise
else:
raise SystemError(
"intent(inout) should have failed on improper array")
def test_c_inout_23seq(self):
obj = np.array(self.num23seq, dtype=self.type.dtype)
shape = (len(self.num23seq), len(self.num23seq[0]))
a = self.array(shape, intent.in_.c.inout, obj)
assert a.has_shared_memory()
def test_in_copy_from_2casttype(self):
for t in self.type.cast_types():
obj = np.array(self.num2seq, dtype=t.dtype)
a = self.array([len(self.num2seq)], intent.in_.copy, obj)
assert not a.has_shared_memory()
def test_c_in_from_23seq(self):
a = self.array(
[len(self.num23seq), len(self.num23seq[0])], intent.in_,
self.num23seq)
assert not a.has_shared_memory()
def test_in_from_23casttype(self):
for t in self.type.cast_types():
obj = np.array(self.num23seq, dtype=t.dtype)
a = self.array(
[len(self.num23seq), len(self.num23seq[0])], intent.in_, obj)
assert not a.has_shared_memory()
def test_f_in_from_23casttype(self):
for t in self.type.cast_types():
obj = np.array(self.num23seq, dtype=t.dtype, order="F")
a = self.array(
[len(self.num23seq), len(self.num23seq[0])], intent.in_, obj)
if t.elsize == self.type.elsize:
assert a.has_shared_memory()
else:
assert not a.has_shared_memory()
def test_c_in_from_23casttype(self):
for t in self.type.cast_types():
obj = np.array(self.num23seq, dtype=t.dtype)
a = self.array(
[len(self.num23seq), len(self.num23seq[0])], intent.in_.c, obj)
if t.elsize == self.type.elsize:
assert a.has_shared_memory()
else:
assert not a.has_shared_memory()
def test_f_copy_in_from_23casttype(self):
for t in self.type.cast_types():
obj = np.array(self.num23seq, dtype=t.dtype, order="F")
a = self.array(
[len(self.num23seq), len(self.num23seq[0])], intent.in_.copy,
obj)
assert not a.has_shared_memory()
def test_c_copy_in_from_23casttype(self):
for t in self.type.cast_types():
obj = np.array(self.num23seq, dtype=t.dtype)
a = self.array(
[len(self.num23seq), len(self.num23seq[0])], intent.in_.c.copy,
obj)
assert not a.has_shared_memory()
def test_in_cache_from_2casttype(self):
for t in self.type.all_types():
if t.elsize != self.type.elsize:
continue
obj = np.array(self.num2seq, dtype=t.dtype)
shape = (len(self.num2seq), )
a = self.array(shape, intent.in_.c.cache, obj)
assert a.has_shared_memory()
a = self.array(shape, intent.in_.cache, obj)
assert a.has_shared_memory()
obj = np.array(self.num2seq, dtype=t.dtype, order="F")
a = self.array(shape, intent.in_.c.cache, obj)
assert a.has_shared_memory()
a = self.array(shape, intent.in_.cache, obj)
assert a.has_shared_memory(), repr(t.dtype)
try:
a = self.array(shape, intent.in_.cache, obj[::-1])
except ValueError as msg:
if not str(msg).startswith(
"failed to initialize intent(cache) array"):
raise
else:
raise SystemError(
"intent(cache) should have failed on multisegmented array")
def test_in_cache_from_2casttype_failure(self):
for t in self.type.all_types():
if t.NAME == 'STRING':
# string elsize is 0, so skipping the test
continue
if t.elsize >= self.type.elsize:
continue
obj = np.array(self.num2seq, dtype=t.dtype)
shape = (len(self.num2seq), )
try:
self.array(shape, intent.in_.cache, obj) # Should succeed
except ValueError as msg:
if not str(msg).startswith(
"failed to initialize intent(cache) array"):
raise
else:
raise SystemError(
"intent(cache) should have failed on smaller array")
def test_cache_hidden(self):
shape = (2, )
a = self.array(shape, intent.cache.hide, None)
assert a.arr.shape == shape
shape = (2, 3)
a = self.array(shape, intent.cache.hide, None)
assert a.arr.shape == shape
shape = (-1, 3)
try:
a = self.array(shape, intent.cache.hide, None)
except ValueError as msg:
if not str(msg).startswith(
"failed to create intent(cache|hide)|optional array"):
raise
else:
raise SystemError(
"intent(cache) should have failed on undefined dimensions")
def test_hidden(self):
shape = (2, )
a = self.array(shape, intent.hide, None)
assert a.arr.shape == shape
assert a.arr_equal(a.arr, np.zeros(shape, dtype=self.type.dtype))
shape = (2, 3)
a = self.array(shape, intent.hide, None)
assert a.arr.shape == shape
assert a.arr_equal(a.arr, np.zeros(shape, dtype=self.type.dtype))
assert a.arr.flags["FORTRAN"] and not a.arr.flags["CONTIGUOUS"]
shape = (2, 3)
a = self.array(shape, intent.c.hide, None)
assert a.arr.shape == shape
assert a.arr_equal(a.arr, np.zeros(shape, dtype=self.type.dtype))
assert not a.arr.flags["FORTRAN"] and a.arr.flags["CONTIGUOUS"]
shape = (-1, 3)
try:
a = self.array(shape, intent.hide, None)
except ValueError as msg:
if not str(msg).startswith(
"failed to create intent(cache|hide)|optional array"):
raise
else:
raise SystemError(
"intent(hide) should have failed on undefined dimensions")
def test_optional_none(self):
shape = (2, )
a = self.array(shape, intent.optional, None)
assert a.arr.shape == shape
assert a.arr_equal(a.arr, np.zeros(shape, dtype=self.type.dtype))
shape = (2, 3)
a = self.array(shape, intent.optional, None)
assert a.arr.shape == shape
assert a.arr_equal(a.arr, np.zeros(shape, dtype=self.type.dtype))
assert a.arr.flags["FORTRAN"] and not a.arr.flags["CONTIGUOUS"]
shape = (2, 3)
a = self.array(shape, intent.c.optional, None)
assert a.arr.shape == shape
assert a.arr_equal(a.arr, np.zeros(shape, dtype=self.type.dtype))
assert not a.arr.flags["FORTRAN"] and a.arr.flags["CONTIGUOUS"]
def test_optional_from_2seq(self):
obj = self.num2seq
shape = (len(obj), )
a = self.array(shape, intent.optional, obj)
assert a.arr.shape == shape
assert not a.has_shared_memory()
def test_optional_from_23seq(self):
obj = self.num23seq
shape = (len(obj), len(obj[0]))
a = self.array(shape, intent.optional, obj)
assert a.arr.shape == shape
assert not a.has_shared_memory()
a = self.array(shape, intent.optional.c, obj)
assert a.arr.shape == shape
assert not a.has_shared_memory()
def test_inplace(self):
obj = np.array(self.num23seq, dtype=self.type.dtype)
assert not obj.flags["FORTRAN"] and obj.flags["CONTIGUOUS"]
shape = obj.shape
a = self.array(shape, intent.inplace, obj)
assert obj[1][2] == a.arr[1][2], repr((obj, a.arr))
a.arr[1][2] = 54
assert obj[1][2] == a.arr[1][2] == np.array(54, dtype=self.type.dtype)
assert a.arr is obj
assert obj.flags["FORTRAN"] # obj attributes are changed inplace!
assert not obj.flags["CONTIGUOUS"]
def test_inplace_from_casttype(self):
for t in self.type.cast_types():
if t is self.type:
continue
obj = np.array(self.num23seq, dtype=t.dtype)
assert obj.dtype.type == t.type
assert obj.dtype.type is not self.type.type
assert not obj.flags["FORTRAN"] and obj.flags["CONTIGUOUS"]
shape = obj.shape
a = self.array(shape, intent.inplace, obj)
assert obj[1][2] == a.arr[1][2], repr((obj, a.arr))
a.arr[1][2] = 54
assert obj[1][2] == a.arr[1][2] == np.array(54,
dtype=self.type.dtype)
assert a.arr is obj
assert obj.flags["FORTRAN"] # obj attributes changed inplace!
assert not obj.flags["CONTIGUOUS"]
assert obj.dtype.type is self.type.type # obj changed inplace!