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