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Query the linear constraint matrix of the model. You'll need to
have scipy installed for this function to work.
Arguments:
Return value:
The matrix as a scipy.sparse matrix in CSR format.
Example usage:
A = model.getA()
sense = numpy.array(model.getAttr("Sense",model.getConstrs()))
# extract sub matrices of (in)equality constraints
Aeq = A[sense == '=', :]
Ale = A[sense == '<', :]
Age = A[sense == '>', :]
