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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def tyn_calus(target, VA, VB, sigma_A, sigma_B, temperature='pore.temperature', viscosity='pore.viscosity'):
 r""" Uses Tyn_Calus model to estimate diffusion coefficient in a dilute liquid solution of A in B from first principles at conditions of interest Parameters target : OpenPNM Object The object for which these values are being calculated. This controls the length of the calculated array, and also provides access to other necessary thermofluid properties. VA : float, array_like Molar volume of component A at boiling temperature (m3/mol) VB : float, array_like Molar volume of component B at boiling temperature (m3/mol) sigmaA: float, array_like Surface tension of component A at boiling temperature (N/m) sigmaB: float, array_like Surface tension of component B at boiling temperature (N/m) pressure : string The dictionary key containing the pressure values in Pascals (Pa) temperature : string The dictionary key containing the temperature values in Kelvin (K) """

    T = target[temperature]
    mu = target[viscosity]
    A = 8.93e-8*(VB*1e6)**0.267/(VA*1e6)**0.433*T
    B = (sigma_B/sigma_A)**0.15/(mu*1e3)
    value = A*B
    return value