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Setting high-dimensional numpy array at specific indices equal to 1D array

I have a collection of symmetric tensors full_tensors , and I have calculated all distinct elements in a 2D array tensor_reduced. I want to calculate the full full_tensors from the distinct elements tensor_reduced. I have a list all_permutations_list that contains tuples over all indices that should have the same value (e.g. all_permutations_list[1]=((0, 0, 1, 0, 0, 0), (0, 1, 0, 0, 0, 0), (1, 0, 0, 0, 0, 0), (0, 0, 0, 1, 0, 0), (0, 0, 0, 0, 1, 0), (0, 0, 0, 0, 0, 1)) and we have that tensor_reduced.shape[1] is the same as len(all_permutations_list).