CI/TST: fix tests for changed numpy error from creating ragged array

[jorisvandenbossche]

xref #1625 (comment)

[jorisvandenbossche]

Ragged array creation will now always raise a ValueError unless
dtype=object is passed. This includes very deeply nested
sequences. (numpy/numpy#22004)

>>> np.__version__
'1.23.4'
>>> np.array([[1], [2, 3]])
VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple 
  of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do 
  this, you must specify 'dtype=object' when creating the ndarray.
array([list([1]), list([2, 3])], dtype=object)

vs

>>> np.__version__
'1.24.0rc1'
>>> np.array([[1], [2, 3]])
...
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous 
shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part.

Now this raises an error. Before, we would also get some (other) error in a later stage because of the object dtype array (when expecting a numerical array of coordinates)

[coveralls]

Pull Request Test Coverage Report for Build 3543533694

• 0 of 0 changed or added relevant lines in 0 files are covered.
• No unchanged relevant lines lost coverage.
• Overall coverage remained the same at 84.754%

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Totals
Change from base Build 3543492816:	0%
Covered Lines:	2218
Relevant Lines:	2617

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💛 - Coveralls

[mwtoews]

Looks good!