BUG: recarray __repr__ gives inaccurate representation

In https://github.com/numpy/numpy/pull/5483, I solved the problem that a
"recarray" and a "record array" (nomenclature defined in
https://github.com/numpy/numpy/pull/5482) looked identical by making
sure that a type's subclass was listed in the repr. However, recarrays
are still represented using the function 'rec.array' even though this
function technically creates record arrays, not recarrays.

So I have updated recarray.__repr__.

Setup:

    >>> a = np.array([(1,'ABC'), (2, "DEF")], dtype=[('foo', int), ('bar', 'S4')])
    >>> recordarr = np.rec.array(a)
    >>> recarr = a.view(np.recarray)

Behavior after https://github.com/numpy/numpy/pull/5483:

    >>> recordarr
    rec.array([(1, 'ABC'), (2, 'DEF')],
          dtype=(numpy.record, [('foo', '<i8'), ('bar', 'S4')]))
    >>> recarr
    rec.array([(1, 'ABC'), (2, 'DEF')],
          dtype=[('foo', '<i8'), ('bar', 'S4')])

New Behavior:

    >>> recordarr
    rec.array([(1, 'ABC'), (2, 'DEF')],
          dtype=[('foo', '<i8'), ('bar', '|S4')])
    >>> recarr
    array([(1, 'ABC'), (2, 'DEF')],
          dtype=[('foo', '<i8'), ('bar', 'S4')]).view(numpy.recarray)

0 files changed, 0 insertions, 0 deletions