passing 'seed=sequential' in LCA object not working

[PascalLesage]

The following did not yield expected results:

excs = [*act.technosphere()]
sample_array = np.eye(len(excs))
indices = [(exc['input'], exc['output'], 'technosphere') for exc in excs]
_, fp = create_presample_matrix(sample_array, indices, 'technosphere')
lca = LCA({act:1}, presamples=[fp], seed='sequential')
lca.lci() #expect first exc to be==1, others 0: not the case
lca.lci() #expect second exc to be==1, others 0: not the case
...
Samples are in fact returned in random order.

[PascalLesage]

Problem definition not correct: 'sequential' should have been passed in presample package, not LCA object.
In fact, a seed at the level of the LCA object is not relevant.
That said, there is still an issue with use of 'sequential' in LCA, but this is another issue.