[Numpy-discussion] Typecasting changes from 1.5.1 to 1.6.1

Benjamin Root ben.root@ou....
Tue Feb 14 09:12:55 CST 2012


On Tuesday, February 14, 2012, Travis Oliphant <travis@continuum.io> wrote:
> Here is the code I used to determine the coercion table of types.   I
first used *all* of the numeric_ops, narrowed it down to those with 2
inputs and 1 output, and then determined the run-time coercion table.
Then, I removed ops that had the same tables until I was left with binary
ops that had different coercion tables.
>
> Some operations were NotImplemented and I used 'X' in the table for those
combinations.
>
> The table for each op is a dictionary with keys given by (type1, type2)
and values given by a length-4 list of the types of the result between:
 [scalar-scalar, scalar-array, array-scalar, array-array] where the first
term is type1 and the second term is type2.
>
> This resulting dictionary of tables for each op is then saved to a file.
  I ran this code for NumPy 1.5.1 64-bit and then again for NumPy 1.6.1
64-bit.   I also ran this code for NumPy 1.4.1 64-bit and NumPy 1.3.1.dev
64-bit.
>
> The code to compare them is also attached.    I'm attaching also the
changes that have occurred between 1.3.1.dev and 1.4.1, 1.4.1 to 1.5.1, and
finally 1.5.1 to 1.6.1
>
> As you can see there were changes in each release.   Most of these were
minor prior to the change from 1.5.1 to 1.6.1. I am still reviewing the
changes from 1.5.1 to 1.6.1.    At first blush, it looks like there are a
lot of changes to swallow that are not necessarily minor.    I really would
like to just say all is well, and it's no big deal.   I hope that users
really don't care and nobody's code is really relying on array-scalar
combination conversions.
>
> -Travis
>
>
>

Would it make sense to adapt this code to go into the test suite?

Ben Root
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