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import osimport 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!
 
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