<p>如果有人对溢出问题感兴趣,并且相信jdi和kindall的专业知识,那么操作符似乎必须是类方法——因此,动态方法生成需要一个自定义类我已经到达了以下工作原型(对于+=,-=,*=)。/=)</p>
<pre><code>class OverflowPreventer( object ):
'''A context manager that exposes a numpy array preventing simple operations from overflowing.
Example:
array= numpy.array( [255], dtype=numpy.uint8 )
with OverflowPreventer( array ) as prevented:
prevented+=1
print array'''
inverse_operator= { '__iadd__':'__sub__', '__isub__':'__add__', '__imul__': '__div__', '__idiv__':'__mul__'}
bypass_operators=['__str__', '__repr__', '__getitem__']
def __init__( self, matrix ):
class CustomWrapper( object ):
def __init__(self, matrix):
assert matrix.dtype==numpy.uint8
self.overflow_matrix= matrix
self.overflow_lower_range= float(0)
self.overflow_upper_range= float(2**8-1)
for op in OverflowPreventer.bypass_operators:
setattr(CustomWrapper, op, getattr(self.overflow_matrix, op))
def _overflow_operator( self, b, forward_operator):
m, lr, ur= self.overflow_matrix, self.overflow_lower_range, self.overflow_upper_range
assert type(b) in (int, float)
reverse_operator= OverflowPreventer.inverse_operator[forward_operator]
uro= getattr( ur, reverse_operator)
lro= getattr( lr, reverse_operator)
afo= getattr( m, forward_operator )
overflows= m > uro( b )
underflows= m < lro( b )
afo( b )
m[overflows]= ur
m[underflows]= lr
return self
def __getattr__(self, attr):
if hasattr(self.wrapped, attr):
return getattr(self.wrapped,attr)
else:
raise AttributeError
self.wrapper= CustomWrapper(matrix)
import functools
for op in OverflowPreventer.inverse_operator.keys():
setattr( CustomWrapper, op, functools.partial(self.wrapper._overflow_operator, forward_operator=op))
def __enter__( self ):
return self.wrapper
def __exit__( self, type, value, tb ):
pass
</code></pre>