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by lauriat
1991 days ago
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My explanation was pretty poor, let me rephrase For example, when calling Array((x, y), (z, w)).index((z, w))
the following piece of code is executed bool(Array((x, y)).__eq__((z, w)))
= bool(Array(False, False))
If __bool__ returned whether the Array is nonempty, bool(Array(False, False)) would evaluate to True and the method would wrongly return 0.You're right that it would be more clear if __bool__ would behave similarly, but since Array computes operations element-wise, it isn't possible. |
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If you used `all()` in your implementation instead, you could be compatible with the idiomatic use of `bool(my_list)` and the _very_ common `if my_list:` structure could be used with Arrays too (like most people probably would expect from a "better list type")
Regardless, Pandas struggles with the same problem, so you are at least in good company :)