Dear Nicholas,
The issue you are reporting is a numpy error.
Is it required to make 'A' variable a numpy array (instead, one could use a python list: `A = [1, 2, 3, [1, 3]]`?
If this is the case, with the version of numpy you are using, it looks like the required syntax is:
A = np.array([1 ,2 ,3 ,[1 ,3]], dtype=object)
I hope this helps.
Best regards,
Hugues
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Hugues Juille
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Original Message:
Sent: Mon August 22, 2022 09:30 AM
From: Nicholas Nicholas
Subject: Creating an ndarray from ragged nested sequences(which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths / shapes)is deprecated
Dear All,
I need to create a nested array before creating a constraint in the CPLEX library. Here is the code.
A = np.array([1,2,3,[1,3]])
A.astype(dtype = object)
p = np.array([40,100,70])
c = np.array([20,100,120])
v = 3
w = 5
for i, idx in enumerate(A):
# get z and c
z_lst = z[np.array(idx)-1]
c_lst = c[np.array(idx)-1]
# constraint
mdl.add_constraint(1 + np.sum(z_lst) >= y * ((n + 1 - 2 * (len(A))) * (2 * v + 2 * w) + np.sum((2 * w + v + c_lst))))
Error notification:
C:/Users/pknu/Documents/Research/project/Final Code/Marking Optimization Single Arm - 3 steps.py:10: 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. A = np.array([1,2,3,[1,3]])
Could anyone tell me what should I do, please? Thank you in advance.
Best regards,
Nicholas
#DecisionOptimization