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Levin Zimmermann authored Nov 07, 2022 and Kirill Smelkov committed Nov 10, 2022

The 'shape' argument of 'numpy.ndarray's initialization method accepts
integer and sequences of integers. But the 'shape' property of
'numpy.ndarray' always returns tuple[int, ...], so numpy manually
casts any legal argument into tuple[int, ...].

In 'BigArray' and 'ZBigArray' this internal casting didn't exist yet.
This patch adds the casting.

Before:

  ZBigArray(shape=[1, 2, 3], dtype=float).shape == [1, 2, 3]

After:

  ZBigArray(shape=[1, 2, 3], dtype=float).shape == (1, 2, 3)

In this way BigArray and ZBigArray API behaves closer to numpy.ndaray,
which should help avoiding confusion when people are using BigArray /
ZBigArray.

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See issue nexedi/wendelin.core#9 and
MR nexedi/wendelin.core!14
for additional context.

/reviewed-by @kirr
/reviewed-on nexedi/wendelin.core!14