It was recently pointed out:
https://github.com/numpy/numpy/issues/7730
that this code silently truncates floats:
In [1]: a = np.arange(10)
In [2]: a.dtype
Out[2]: dtype('int64')
In [3]: a[3] = 1.5
In [4]: a[3]
Out[4]: 1
The proposal is that we should deprecate this, and eventually turn it
into an error. Any objections?
We recently went through a similar deprecation cycle for in-place
operations, i.e., this used to silently truncate but now raises an
error:
In [1]: a = np.arange(10)
In [2]: a += 1.5
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-2-9cf893a64492> in <module>()
----> 1 a += 1.5
TypeError: Cannot cast ufunc add output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
so the proposal here is to extend this to regular assignment.
-n
--
Nathaniel J. Smith -- https://vorpus.org
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