本文整理汇总了Python中numpy.core.numerictypes.float96方法的典型用法代码示例。如果您正苦于以下问题：Python numerictypes.float96方法的具体用法？Python numerictypes.float96怎么用？Python numerictypes.float96使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类numpy.core.numerictypes的用法示例。
在下文中一共展示了numerictypes.float96方法的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: _run_machar_highprec
# 需要导入模块: from numpy.core import numerictypes [as 别名]
# 或者: from numpy.core.numerictypes import float96 [as 别名]
def _run_machar_highprec(self):
# Instantiate MachAr instance with high enough precision to cause
# underflow
try:
hiprec = ntypes.float96
MachAr(lambda v:array([v], hiprec))
except AttributeError:
# Fixme, this needs to raise a 'skip' exception.
"Skipping test: no ntypes.float96 available on this platform." 示例2: test_underlow
# 需要导入模块: from numpy.core import numerictypes [as 别名]
# 或者: from numpy.core.numerictypes import float96 [as 别名]
def test_underlow(self):
# Regression test for #759:
# instantiating MachAr for dtype = np.float96 raises spurious warning.
with errstate(all='raise'):
try:
self._run_machar_highprec()
except FloatingPointError as e:
msg = "Caught %s exception, should not have been raised." % e
raise AssertionError(msg) 示例3: _run_machar_highprec
# 需要导入模块: from numpy.core import numerictypes [as 别名]
# 或者: from numpy.core.numerictypes import float96 [as 别名]
def _run_machar_highprec(self):
# Instantiate MachAr instance with high enough precision to cause
# underflow
try:
hiprec = ntypes.float96
MachAr(lambda v:array([v], hiprec))
except AttributeError:
"Skipping test: no ntypes.float96 available on this platform." 示例4: test_underlow
# 需要导入模块: from numpy.core import numerictypes [as 别名]
# 或者: from numpy.core.numerictypes import float96 [as 别名]
def test_underlow(self):
# Regression test for #759:
# instanciating MachAr for dtype = np.float96 raises spurious warning.
with errstate(all='raise'):
try:
self._run_machar_highprec()
except FloatingPointError as e:
self.fail("Caught %s exception, should not have been raised." % e) 示例5: _run_machar_highprec
# 需要导入模块: from numpy.core import numerictypes [as 别名]
# 或者: from numpy.core.numerictypes import float96 [as 别名]
def _run_machar_highprec(self):
# Instanciate MachAr instance with high enough precision to cause
# underflow
try:
hiprec = ntypes.float96
machar = MachAr(lambda v:array([v], hiprec))
except AttributeError:
"Skipping test: no nyptes.float96 available on this platform." 示例6: test_underlow
# 需要导入模块: from numpy.core import numerictypes [as 别名]
# 或者: from numpy.core.numerictypes import float96 [as 别名]
def test_underlow(self):
"""Regression testing for #759: instanciating MachAr for dtype =
np.float96 raises spurious warning."""
with errstate(all='raise'):
try:
self._run_machar_highprec()
except FloatingPointError as e:
self.fail("Caught %s exception, should not have been raised." % e) 示例7: test_underlow
# 需要导入模块: from numpy.core import numerictypes [as 别名]
# 或者: from numpy.core.numerictypes import float96 [as 别名]
def test_underlow(self):
# Regression test for #759:
# instantiating MachAr for dtype = np.float96 raises spurious warning.
with errstate(all='raise'):
try:
self._run_machar_highprec()
except FloatingPointError as e:
self.fail("Caught %s exception, should not have been raised." % e)