Hi,

On Tue, Sep 3, 2013 at 8:08 PM, Gilbert Gede <[email protected]> wrote:
> I think there were concerns on adding additional arguments to lambdify. That
> was why I added the dummify flag to the lower-level lambdastr instead, and
> tried to keep lambdify's interface simple.
>
> I think the logic could be re-written to be a little more robust - maybe not
> dummifying if a dictionary or 'sympy' is explicitly passed in or implemented
> functions are provided, and only dummifying if the numeric outputs are going
> to take precedence over the symbolic outputs?

Would you mind giving an example where it would be a very bad idea to
dummify?  I read the pull request discussion, but I think the really
nasty examples Stefan gave actually raise errors with dummify.  I ask
only because I didn't entirely understand the problem.

For guessing, my guess would be that someone wanted numerical
evaluation if there is:

* a dictionary first argument
* any other namespace than sympy as first argument
* an implemented function anywhere

But I think this is a typical example of zen of Python :

$ python -c 'import this' | grep guess
In the face of ambiguity, refuse the temptation to guess.

> I suppose the question is: Are there use cases where dummification is
> needed, and there are implemented functions or the desired module is
> 'sympy'? If so, we should add dummification as a flag.

Let's say the user does want:

y = x(t)
lambdify(y,  2 * y)

to work.  Then, at the moment, they have to guess how we are guessing
that they will tell us that.

Whereas:

lambdify(y, 2 * y, dummify=True)

with a good docstring, seems like it's not much extra work or extra
complexity in the signature, for the reasonably large gain in clarity.

Cheers,

Matthew

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