[Numpy-discussion] Vendorize tempita

[Benjamin Root]

This is the first I am hearing of tempita (looks to be a templating
language). How is it a dependency of numpy? Do I now need tempita in order
to use numpy, or is it a build-time-only dependency?

Ben

On Fri, Sep 30, 2016 at 11:13 AM, Stephan Hoyer <shoyer at gmail.com> wrote:

> One way to do this is to move to vendorized dependencies into an submodule
> of numpy itself (e.g., sklearn.externals.joblib, though maybe even a little
> more indirection than that would be valuable to make it clear that it isn't
> part of NumPy public API). This would avoid further enlarging the set of
> namespaces we use.
>
> In any case, I'm perfectly OK with using something like npy_tempita
> internally, too, as long as we can be sure that we're using NumPy's
> vendorized version, not whatever version is installed locally. We're not
> planning to actually install "npy_tempita" when installing numpy (even for
> dev installs), right?
>
>
> On Fri, Sep 30, 2016 at 7:30 AM, Charles R Harris <
> charlesr.harris at gmail.com> wrote:
>
>> Hi All,
>>
>> There is a PR <https://github.com/numpy/numpy/pull/8096> to vendorize
>> tempita. This removes tempita as a dependency and simplifies some things.
>> Feedback on this step is welcome. One question is whether the package
>> should be renamed to something like `npy_tempita`, as otherwise installed
>> tempita, if any has priority.
>>
>> Thoughts?
>>
>> Chuck
>>
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>
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