state space ss.X representation is not working as mentioned in doc

[floke9]

From the doc https://lcapy.readthedocs.io/en/latest/circuits.html#state-space-analysis

After creating the circuit:

from lcapy import Circuit a = Circuit(""" V 1 0 {v(t)}; down R1 1 2; right L 2 3; right=1.5, i=i_L R2 3 03; down=1.5, i=i{R2}, v=v_{R2} W 0 0_3; right W 3 3_a; right C 3_a 0_4; down, i=i_C, v=v_C W 0_3 0_4; right""")

ss = a.ss

printing of time domain representation is working fine:

ss.x Matrix([[i_L(t)], [v_C(t)]])

but for laplace domain representation:

ss.X

it gives an Atribute error:

File c:\python\lib\site-packages\lcapy\statespace.py:70, in StateSpace.X(self) 67 @property 68 def X(self): 69 """Laplace transform of state-variable vector.""" ---> 70 return LaplaceDomainMatrix(self.x.laplace())

AttributeError: 'Vector' object has no attribute 'laplace'

used version:

Python: 3.9.6 (tags/v3.9.6:db3ff76, Jun 28 2021, 15:26:21) [MSC v.1929 64 bit (AMD64)] SymPy: 1.10.1 NumPy: 1.22.4 Matplotlib: 3.5.2 SciPy: 1.8.1 Lcapy: 1.5

[mph-]

That bug snuck under the unit tests. Thanks for letting me know. The patch I've pushed should fix this.