print(m.getSolution ())            # Prints a list with an optimal solution
print("v1 is", m.getSolution(v1))  # Only prints the value of v1
a = m.getSolution(x)               # Gets the values of all variables in the vector x
b = m.getSolution(range(4))        # Gets the value of v1 and x[0], x[1], x[2], i.e.
                                   # the first four variables of the problem
c = m.getSolution('Var1')          # Gets the value of v1 by its name
e = m.getSolution({1: x, 2: 0,
                   3: 'Var1'})     # Returns a dictionary containing the same keys as
                                   # in the arguments and the values of the
                                   # variables/expressions passed
d = m.getSolution(v1 + 3*x)        # Gets the value of an expression under the
                                   # current solution
e = m.getSolution(np.array(x))     # Gets a NumPy array with the solution of x

y=xpress.var(name='var1')
x=xpress.var(name='var2')
[...]
p.solve()
print("solution:",   p.getSolution())
print("x is",        p.getSolution(x))
print("first two var:",   p.getSolution([0,1]))
print("x and y are", p.getSolution(['var1', 'var2']))

y=xpress.var(name='var1')
x=xpress.var(name='var2')
[...]
p.solve()
print("x is",           p.getSolution([[x,y],[x,y]], flatten=True)) # will return [0,1,0,1]
print("first two var:", p.getSolution(0,1, flatten=True))  # will return the list [0,1]