There is no connection between the memoize class, which is an implementation of 
the standard memoization pattern, and the VTU output, which conforms to the VTU 
file format specifications as outlined by Kitware (the developers of VTK and 
ParaView).

Regards, Freddie.

> On 5 Jul 2020, at 05:00, Kiny Wan <[email protected]> wrote:
> 
> 
> Hello everyone,
>         The Cpickle converts your object to a byte stream, which achieve fast 
> speed for data processing. In PyFR, the pickle procedure is defined in 
> following class memoize() and acts as a wrapper @memoize to handle the data. 
> The resultant file of .vtu can be post-precessed with paraview, but its data 
> is unable to visualize with a common text editor. So far I have not reached 
> such a strong level of programming, is it possible to unpickle the files of 
> .vtu? And can it be commented out to facilitate debugging? Any tips are 
> appreciated.
> 
> class memoize(object):
>     def __init__(self, func):
>         self.func = func
> 
> 
>     def __get__(self, instance, owner):
>         return self.func if instance is None else ft.partial(self, instance)
> 
> 
>     def __call__(self, *args, **kwargs):
>         instance = args[0]
> 
> 
>         try:
>             cache = instance._memoize_cache
>         except AttributeError:
>             cache = instance._memoize_cache = {}
> 
> 
>         key = (self.func, pickle.dumps(args[1:], 1), pickle.dumps(kwargs, 1))
> 
> 
>         try:
>             res = cache[key]
>         except KeyError:
>             res = cache[key] = self.func(*args, **kwargs)
> 
> 
>         return res
> 
> 
> Thanks,
> Kiny
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