I have a the following code:

```
p = classp();
for i in range(1,10):
x = numpy.array([[2],[4],[5]])
print p.update(x)
class classp:
def __init__(self):
self.mymodel = array([2*x[1]], [3*x[0]], [x[2]]);
def update(self, x):
return self.mymodel #replace x(0)...x(1) with the given parameter
```

My question is related the code above, I would like to define a model using sympy if it's possible, afterwards in the update function replace the sympy variables with the x values. Is it possible? How can I do that?

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