data validation when creating an object

[Rita]

Unfortunately, I couldn't find the reference but I know I read it
somewhere. Even with a selective search I wasn't able to find it. I think I
read it in context of module/class test case writing.



I will keep your responses in mind therefore I will put logic in __init__
for data validation.

thanks again for the responses.





On Wed, Jan 15, 2014 at 8:46 PM, Chris Angelico <rosuav at gmail.com> wrote:

> On Thu, Jan 16, 2014 at 12:25 PM, Cameron Simpson <cs at zip.com.au> wrote:
> > However, I would also have obvious validity checks in __init__
> > itself on the supplied values. Eg:
> >
> >   def __init__(self, size, lifetime):
> >     if size < 1:
> >       raise ValueError("size must be >= 1, received: %r" % (size,))
> >     if lifetime <= 0:
> >       raise ValueError("lifetime must be > 0, received: %r" %
> (lifetime,))
> >
> > Trivial, fast. Fails early. Note that the exception reports the
> > receive value; very handy for simple errors like passing utterly
> > the wrong thing (eg a filename when you wanted a counter, or something
> > like that).
>
> With code like this, passing a filename as the size will raise TypeError
> on Py3:
>
> >>> size = "test.txt"
> >>> size < 1
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
> TypeError: unorderable types: str() < int()
>
> Yet another advantage of Py3 :)
>
> ChrisA
> --
> https://mail.python.org/mailman/listinfo/python-list
>



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