本文整理汇总了Python中numpy.clongdouble函数的典型用法代码示例。如果您正苦于以下问题：Python clongdouble函数的具体用法？Python clongdouble怎么用？Python clongdouble使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了clongdouble函数的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_coercion
def test_coercion(self):
def res_type(a, b):
return np.add(a, b).dtype
self.check_promotion_cases(res_type)
# Use-case: float/complex scalar * bool/int8 array
# shouldn't narrow the float/complex type
for a in [np.array([True,False]), np.array([-3,12], dtype=np.int8)]:
b = 1.234 * a
assert_equal(b.dtype, np.dtype('f8'), "array type %s" % a.dtype)
b = np.longdouble(1.234) * a
assert_equal(b.dtype, np.dtype(np.longdouble),
"array type %s" % a.dtype)
b = np.float64(1.234) * a
assert_equal(b.dtype, np.dtype('f8'), "array type %s" % a.dtype)
b = np.float32(1.234) * a
assert_equal(b.dtype, np.dtype('f4'), "array type %s" % a.dtype)
b = np.float16(1.234) * a
assert_equal(b.dtype, np.dtype('f2'), "array type %s" % a.dtype)
b = 1.234j * a
assert_equal(b.dtype, np.dtype('c16'), "array type %s" % a.dtype)
b = np.clongdouble(1.234j) * a
assert_equal(b.dtype, np.dtype(np.clongdouble),
"array type %s" % a.dtype)
b = np.complex128(1.234j) * a
assert_equal(b.dtype, np.dtype('c16'), "array type %s" % a.dtype)
b = np.complex64(1.234j) * a
assert_equal(b.dtype, np.dtype('c8'), "array type %s" % a.dtype)示例2: test_precisions_consistent
def test_precisions_consistent(self):
z = 1 + 1j
for f in self.funcs:
fcf = f(np.csingle(z))
fcd = f(np.cdouble(z))
fcl = f(np.clongdouble(z))
assert_almost_equal(fcf, fcd, decimal=6, err_msg="fch-fcd %s" % f)
assert_almost_equal(fcl, fcd, decimal=15, err_msg="fch-fcl %s" % f)示例3: test_int_from_infinite_longdouble___int__
def test_int_from_infinite_longdouble___int__(self):
x = np.longdouble(np.inf)
assert_raises(OverflowError, x.__int__)
with suppress_warnings() as sup:
sup.record(np.ComplexWarning)
x = np.clongdouble(np.inf)
assert_raises(OverflowError, x.__int__)
assert_equal(len(sup.log), 1)示例4: test_longdouble_int
def test_longdouble_int(self):
# gh-627
x = np.longdouble(np.inf)
assert_raises(OverflowError, int, x)
with suppress_warnings() as sup:
sup.record(np.ComplexWarning)
x = np.clongdouble(np.inf)
assert_raises(OverflowError, int, x)
assert_equal(len(sup.log), 1)示例5: test_longdouble_int
def test_longdouble_int(self):
# gh-627
x = np.longdouble(np.inf)
assert_raises(OverflowError, x.__int__)
x = np.clongdouble(np.inf)
assert_raises(OverflowError, x.__int__)示例6: Type
_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']
# 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
if ((intp().dtype.itemsize != 4 or clongdouble().dtype.alignment <= 8) and
sys.platform != 'win32'):
_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(object):
_type_cache = {}
def __new__(cls, name):
if isinstance(name, dtype):
dtype0 = name示例7: test_gentype_nonzero
def test_gentype_nonzero( self ):
# This exercises gentype_nonzero, and thus may point the path to
# executing other gentype_* functions.
z = np.clongdouble( 4 + 5j )
r = np.nonzero( z )