($eos:ty, $py_eos:ty) => {

/// A thermodynamic two phase equilibrium state.

#[pyclass(name = "PhaseEquilibrium", unsendable)]

#[derive(Clone)]

pub struct PyPhaseEquilibrium(PhaseEquilibrium<SIUnit, $eos, 2>);

#[pymethods]

impl PyPhaseEquilibrium {

/// Create a liquid and vapor state in equilibrium

/// for a pure substance.

///

/// Parameters

/// ----------

/// eos : EquationOfState

/// The equation of state.

/// temperature_or_pressure : SINumber

/// The system temperature or pressure.

/// initial_state : PhaseEquilibrium, optional

/// A phase equilibrium used as initial guess.

/// Can speed up convergence.

/// max_iter : int, optional

/// The maximum number of iterations.

/// tol: float, optional

/// The solution tolerance.

/// verbosity : Verbosity, optional

/// The verbosity.

///

/// Returns

/// -------

/// PhaseEquilibrium

///

/// Raises

/// ------

/// RuntimeError

/// When pressure iteration fails or no phase equilibrium is found.

#[staticmethod]

#[pyo3(text_signature = "(eos, temperature_or_pressure, initial_state=None, max_iter=None, tol=None, verbosity=None)")]

pub fn pure(

eos: $py_eos,

temperature_or_pressure: PySINumber,

initial_state: Option<&PyPhaseEquilibrium>,

max_iter: Option<usize>,

tol: Option<f64>,

verbosity: Option<Verbosity>,

) -> PyResult<Self> {

Ok(Self(PhaseEquilibrium::pure(

&eos.0,

temperature_or_pressure.into(),

initial_state.and_then(|s| Some(&s.0)),

(max_iter, tol, verbosity).into(),

)?))

}

/// Create a liquid and vapor state in equilibrium

/// for given temperature, pressure and feed composition.

///

/// Can also be used to calculate liquid liquid phase separation.

///

/// Parameters

/// ----------

/// eos : EquationOfState

/// The equation of state.

/// temperature : SINumber

/// The system temperature.

/// pressure : SINumber

/// The system pressure.

/// feed : SIArray1

/// Feed composition (units of amount of substance).

/// initial_state : PhaseEquilibrium, optional

/// A phase equilibrium used as initial guess.

/// Can speed up convergence.

/// max_iter : int, optional

/// The maximum number of iterations.

/// tol: float, optional

/// The solution tolerance.

/// verbosity : Verbosity, optional

/// The verbosity.

///

/// Returns

/// -------

/// PhaseEquilibrium

///

/// Raises

/// ------

/// RuntimeError

/// When pressure iteration fails or no phase equilibrium is found.

#[staticmethod]

#[pyo3(text_signature = "(eos, temperature, pressure, feed, initial_state=None, max_iter=None, tol=None, verbosity=None, non_volatile_components=None)")]

pub fn tp_flash(

eos: $py_eos,

temperature: PySINumber,

pressure: PySINumber,

feed: &PySIArray1,

initial_state: Option<&PyPhaseEquilibrium>,

max_iter: Option<usize>,

tol: Option<f64>,

verbosity: Option<Verbosity>,

non_volatile_components: Option<Vec<usize>>,

) -> PyResult<Self> {

Ok(Self(PhaseEquilibrium::tp_flash(

&eos.0,

temperature.into(),

pressure.into(),

feed,

initial_state.and_then(|s| Some(&s.0)),

(max_iter, tol, verbosity).into(), non_volatile_components

)?))

}

/// Compute a phase equilibrium for given temperature

/// or pressure and liquid mole fractions.

///

/// Parameters

/// ----------

/// eos : EquationOfState

/// The equation of state.

/// temperature_or_pressure : SINumber

/// The system temperature_or_pressure.

/// liquid_molefracs : numpy.ndarray

/// The mole fraction of the liquid phase.

/// tp_init : SINumber, optional

/// The system pressure/temperature used as starting

/// condition for the iteration.

/// vapor_molefracs : numpy.ndarray, optional

/// The mole fraction of the vapor phase used as

/// starting condition for iteration.

/// max_iter_inner : int, optional

/// The maximum number of inner iterations.

/// max_iter_outer : int, optional

/// The maximum number of outer iterations.

/// tol_inner : float, optional

/// The solution tolerance in the inner loop.

/// tol_outer : float, optional

/// The solution tolerance in the outer loop.

/// verbosity : Verbosity, optional

/// The verbosity.

///

/// Returns

/// -------

/// PhaseEquilibrium

#[staticmethod]

#[pyo3(text_signature = "(eos, temperature_or_pressure, liquid_molefracs, tp_init=None, vapor_molefracs=None, max_iter_inner=None, max_iter_outer=None, tol_inner=None, tol_outer=None, verbosity=None)")]

pub fn bubble_point(

eos: $py_eos,

temperature_or_pressure: PySINumber,

liquid_molefracs: &PyArray1<f64>,

tp_init: Option<PySINumber>,

vapor_molefracs: Option<&PyArray1<f64>>,

max_iter_inner: Option<usize>,

max_iter_outer: Option<usize>,

tol_inner: Option<f64>,

tol_outer: Option<f64>,

verbosity: Option<Verbosity>,

) -> PyResult<Self> {

let x = vapor_molefracs.and_then(|m| Some(m.to_owned_array()));

Ok(Self(PhaseEquilibrium::bubble_point(

&eos.0,

temperature_or_pressure.into(),

&liquid_molefracs.to_owned_array(),

tp_init.map(|p| p.into()),

x.as_ref(),

(

(max_iter_inner, tol_inner, verbosity).into(),

(max_iter_outer, tol_outer, verbosity).into()

)

)?))

}

/// Compute a phase equilibrium for given temperature

/// or pressure and vapor mole fractions.

///

/// Parameters

/// ----------

/// eos : EquationOfState

/// The equation of state.

/// temperature_or_pressure : SINumber

/// The system temperature or pressure.

/// vapor_molefracs : numpy.ndarray

/// The mole fraction of the vapor phase.

/// tp_init : SINumber, optional

/// The system pressure/temperature used as starting

/// condition for the iteration.

/// liquid_molefracs : numpy.ndarray, optional

/// The mole fraction of the liquid phase used as

/// starting condition for iteration.

/// max_iter_inner : int, optional

/// The maximum number of inner iterations.

/// max_iter_outer : int, optional

/// The maximum number of outer iterations.

/// tol_inner : float, optional

/// The solution tolerance in the inner loop.

/// tol_outer : float, optional

/// The solution tolerance in the outer loop.

/// verbosity : Verbosity, optional

/// The verbosity.

///

/// Returns

/// -------

/// PhaseEquilibrium

#[staticmethod]

#[pyo3(text_signature = "(eos, temperature_or_pressure, vapor_molefracs, tp_init=None, liquid_molefracs=None, max_iter_inner=None, max_iter_outer=None, tol_inner=None, tol_outer=None, verbosity=None)")]

pub fn dew_point(

eos: $py_eos,

temperature_or_pressure: PySINumber,

vapor_molefracs: &PyArray1<f64>,

tp_init: Option<PySINumber>,

liquid_molefracs: Option<&PyArray1<f64>>,

max_iter_inner: Option<usize>,

max_iter_outer: Option<usize>,

tol_inner: Option<f64>,

tol_outer: Option<f64>,

verbosity: Option<Verbosity>,

) -> PyResult<Self> {

let x = liquid_molefracs.and_then(|m| Some(m.to_owned_array()));

Ok(Self(PhaseEquilibrium::dew_point(

&eos.0,

temperature_or_pressure.into(),

&vapor_molefracs.to_owned_array(),

tp_init.map(|p| p.into()),

x.as_ref(),

(

(max_iter_inner, tol_inner, verbosity).into(),

(max_iter_outer, tol_outer, verbosity).into()

)

)?))

}

#[getter]

fn get_vapor(&self) -> PyState {

PyState(self.0.vapor().clone())

}

#[getter]

fn get_liquid(&self) -> PyState {

PyState(self.0.liquid().clone())

}

/// Calculate a new PhaseEquilibrium with the given chemical potential.

/// The temperature remains constant, but the states are not in

/// a mechanical equilibrium anymore.

///

/// Parameters

/// ----------

/// chemical_potential: SIArray1

/// The new chemical potential

///

#[pyo3(text_signature = "(chemical_potential)")]

fn update_chemical_potential(slf: &PyCell<Self>, chemical_potential: &PySIArray1) -> PyResult<()> {

slf.borrow_mut().0.update_chemical_potential(chemical_potential)?;

Ok(())

}

/// Calculate the pure component vapor-liquid equilibria for all

/// components in the system.

///

/// Parameters

/// ----------

/// eos : EquationOfState

/// The equation of state.

/// temperature_or_pressure : SINumber

/// The system temperature or pressure.

///

/// Returns

/// -------

/// list[PhaseEquilibrium]

#[staticmethod]

#[pyo3(text_signature = "(eos, temperature_or_pressure)")]

fn vle_pure_comps(eos: $py_eos, temperature_or_pressure: PySINumber) -> Vec<Option<Self>> {

PhaseEquilibrium::vle_pure_comps(&eos.0, temperature_or_pressure.into())

.into_iter()

.map(|o| o.map(Self))

.collect()

}

/// Calculate the pure component vapor pressures for all the

/// components in the system.

///

/// Parameters

/// ----------

/// eos : EquationOfState

/// The equation of state.

/// temperature : SINumber

/// The system temperature.

///

/// Returns

/// -------

/// list[SINumber]

#[staticmethod]

#[pyo3(text_signature = "(eos, temperature)")]

fn vapor_pressure(eos: $py_eos, temperature: PySINumber) -> Vec<Option<PySINumber>> {

PhaseEquilibrium::vapor_pressure(&eos.0, temperature.into())

.into_iter()

.map(|o| o.map(|n| n.into()))

.collect()

}

/// Calculate the pure component boiling temperatures for all the

/// components in the system.

///

/// Parameters

/// ----------

/// eos : EquationOfState

/// The equation of state.

/// pressure : SINumber

/// The system pressure.

///

/// Returns

/// -------

/// list[SINumber]

#[staticmethod]

#[pyo3(text_signature = "(eos, pressure)")]

fn boiling_temperature(eos: $py_eos, pressure: PySINumber) -> Vec<Option<PySINumber>> {

PhaseEquilibrium::boiling_temperature(&eos.0, pressure.into())

.into_iter()

.map(|o| o.map(|n| n.into()))

.collect()

}

fn _repr_markdown_(&self) -> String {

self.0._repr_markdown_()

}

fn __repr__(&self) -> PyResult<String> {

Ok(self.0.to_string())

}

}

/// A thermodynamic three phase equilibrium state.

#[pyclass(name = "ThreePhaseEquilibrium", unsendable)]

#[derive(Clone)]

struct PyThreePhaseEquilibrium(PhaseEquilibrium<SIUnit, $eos, 3>);

#[pymethods]

impl PyPhaseEquilibrium {

/// Calculate a heteroazeotrope in a binary mixture for a given temperature

/// or pressure.

///

/// Parameters

/// ----------

/// eos : EquationOfState

/// The equation of state.

/// temperature_or_pressure : SINumber

/// The system temperature or pressure.

/// x_init : list[float]

/// Initial guesses for the liquid molefracs of component 1

/// at the heteroazeotropic point.

/// tp_init : SINumber, optional

/// Initial guess for the temperature/pressure at the

/// heteroszeotropic point.

/// max_iter : int, optional

/// The maximum number of iterations.

/// tol: float, optional

/// The solution tolerance.

/// verbosity : Verbosity, optional

/// The verbosity.

/// max_iter_bd_inner : int, optional

/// The maximum number of inner iterations in the bubble/dew point iteration.

/// max_iter_bd_outer : int, optional

/// The maximum number of outer iterations in the bubble/dew point iteration.

/// tol_bd_inner : float, optional

/// The solution tolerance in the inner loop of the bubble/dew point iteration.

/// tol_bd_outer : float, optional

/// The solution tolerance in the outer loop of the bubble/dew point iteration.

/// verbosity_bd : Verbosity, optional

/// The verbosity of the bubble/dew point iteration.

#[staticmethod]

#[pyo3(text_signature = "(eos, temperature_or_pressure, x_init, tp_init=None, max_iter=None, tol=None, verbosity=None, max_iter_bd_inner=None, max_iter_bd_outer=None, tol_bd_inner=None, tol_bd_outer=None, verbosity_bd=None)")]

fn heteroazeotrope(

eos: $py_eos,

temperature_or_pressure: PySINumber,

x_init: (f64, f64),

tp_init: Option<PySINumber>,

max_iter: Option<usize>,

tol: Option<f64>,

verbosity: Option<Verbosity>,

max_iter_bd_inner: Option<usize>,

max_iter_bd_outer: Option<usize>,

tol_bd_inner: Option<f64>,

tol_bd_outer: Option<f64>,

verbosity_bd: Option<Verbosity>,

) -> PyResult<PyThreePhaseEquilibrium> {

Ok(PyThreePhaseEquilibrium(PhaseEquilibrium::heteroazeotrope(

&eos.0,

temperature_or_pressure.into(),

x_init,

tp_init.map(|t| t.into()),

(max_iter, tol, verbosity).into(),

(

(max_iter_bd_inner, tol_bd_inner, verbosity_bd).into(),

(max_iter_bd_outer, tol_bd_outer, verbosity_bd).into(),

)

)?))

}

}

#[pymethods]

impl PyThreePhaseEquilibrium {

#[getter]

fn get_vapor(&self) -> PyState {

PyState(self.0.vapor().clone())

}

#[getter]

fn get_liquid1(&self) -> PyState {

PyState(self.0.liquid1().clone())

}

#[getter]

fn get_liquid2(&self) -> PyState {

PyState(self.0.liquid2().clone())

}

fn _repr_markdown_(&self) -> String {

self.0._repr_markdown_()

}

fn __repr__(&self) -> PyResult<String> {

Ok(self.0.to_string())

}

}

#[pymethods]

impl PyState {

/// Calculates a two phase Tp-flash with the state as feed.

///

/// Parameters

/// ----------

/// initial_state : PhaseEquilibrium, optional

/// A phase equilibrium used as initial guess.

/// Can speed up convergence.

/// max_iter : int, optional

/// The maximum number of iterations.

/// tol: float, optional

/// The solution tolerance.

/// verbosity : Verbosity, optional

/// The verbosity.

///

/// Returns

/// -------

/// PhaseEquilibrium

///

/// Raises

/// ------

/// RuntimeError

/// When pressure iteration fails or no phase equilibrium is found.

#[pyo3(text_signature = "($self, initial_state=None, max_iter=None, tol=None, verbosity=None, non_volatile_components=None)")]

pub fn tp_flash(

&self,

initial_state: Option<&PyPhaseEquilibrium>,

max_iter: Option<usize>,

tol: Option<f64>,

verbosity: Option<Verbosity>,

non_volatile_components: Option<Vec<usize>>,

) -> PyResult<PyPhaseEquilibrium> {

Ok(PyPhaseEquilibrium(self.0.tp_flash(

initial_state.and_then(|s| Some(&s.0)),

(max_iter, tol, verbosity).into(),

non_volatile_components

)?))

}

}

/// Phase diagram for a pure component or a binary mixture.

#[pyclass(name = "PhaseDiagram", unsendable)]

pub struct PyPhaseDiagram(PhaseDiagram<SIUnit, $eos>);

#[pymethods]

impl PyPhaseDiagram {

/// Calculate a pure component phase diagram.

///

/// Parameters

/// ----------

/// eos: Eos

/// The equation of state.

/// min_temperature: SINumber

/// The lower limit for the temperature.

/// npoints: int

/// The number of points.

/// critical_temperature: SINumber, optional

/// An estimate for the critical temperature to initialize

/// the calculation if necessary. For most components not necessary.

/// Defaults to `None`.

/// max_iter : int, optional

/// The maximum number of iterations.

/// tol: float, optional

/// The solution tolerance.

/// verbosity : Verbosity, optional

/// The verbosity.

///

/// Returns

/// -------

/// PhaseDiagram

#[staticmethod]

#[pyo3(text_signature = "(eos, min_temperature, npoints, critical_temperature=None, max_iter=None, tol=None, verbosity=None)")]

pub fn pure(

eos: &$py_eos,

min_temperature: PySINumber,

npoints: usize,

critical_temperature: Option<PySINumber>,

max_iter: Option<usize>,

tol: Option<f64>,

verbosity: Option<Verbosity>,

) -> PyResult<Self> {

let dia = PhaseDiagram::pure(

&eos.0,

min_temperature.into(),

npoints,

critical_temperature.map(|t| t.into()),

(max_iter, tol, verbosity).into(),

)?;

Ok(Self(dia))

}

/// Calculate the bubble point line of a mixture with given composition.

///

/// In the resulting phase diagram, the liquid states correspond to the

/// bubble point line while the vapor states contain the corresponding

/// equilibrium states at different compositions.

///

/// Parameters

/// ----------

/// eos: Eos

/// The equation of state.

/// moles: SIArray1

/// The moles of the individual components

/// min_temperature: SINumber

/// The lower limit for the temperature.

/// npoints: int

/// The number of points.

/// critical_temperature: SINumber, optional

/// An estimate for the critical temperature to initialize

/// the calculation if necessary. For most components not necessary.

/// Defaults to `None`.

/// max_iter_inner : int, optional

/// The maximum number of inner iterations in the bubble/dew point iteration.

/// max_iter_outer : int, optional

/// The maximum number of outer iterations in the bubble/dew point iteration.

/// tol_inner : float, optional

/// The solution tolerance in the inner loop of the bubble/dew point iteration.

/// tol_outer : float, optional

/// The solution tolerance in the outer loop of the bubble/dew point iteration.

/// verbosity : Verbosity, optional

/// The verbosity of the bubble/dew point iteration.

///

/// Returns

/// -------

/// PhaseDiagram

#[staticmethod]

#[pyo3(text_signature = "(eos, moles, min_temperature, npoints, critical_temperature=None, max_iter_inner=None, max_iter_outer=None, tol_inner=None, tol_outer=None, verbosity=None)")]

pub fn bubble_point_line(

eos: &$py_eos,

moles: PySIArray1,

min_temperature: PySINumber,

npoints: usize,

critical_temperature: Option<PySINumber>,

max_iter_inner: Option<usize>,

max_iter_outer: Option<usize>,

tol_inner: Option<f64>,

tol_outer: Option<f64>,

verbosity: Option<Verbosity>,

) -> PyResult<Self> {

let dia = PhaseDiagram::bubble_point_line(

&eos.0,

&moles,

min_temperature.into(),

npoints,

critical_temperature.map(|t| t.into()),

(

(max_iter_inner, tol_inner, verbosity).into(),

(max_iter_outer, tol_outer, verbosity).into(),

)

)?;

Ok(Self(dia))

}

/// Calculate the dew point line of a mixture with given composition.

///

/// In the resulting phase diagram, the vapor states correspond to the

/// dew point line while the liquid states contain the corresponding

/// equilibrium states at different compositions.

///

/// Parameters

/// ----------

/// eos: Eos

/// The equation of state.

/// moles: SIArray1

/// The moles of the individual components

/// min_temperature: SINumber

/// The lower limit for the temperature.

/// npoints: int

/// The number of points.

/// critical_temperature: SINumber, optional

/// An estimate for the critical temperature to initialize

/// the calculation if necessary. For most components not necessary.

/// Defaults to `None`.

/// max_iter_inner : int, optional

/// The maximum number of inner iterations in the bubble/dew point iteration.

/// max_iter_outer : int, optional

/// The maximum number of outer iterations in the bubble/dew point iteration.

/// tol_inner : float, optional

/// The solution tolerance in the inner loop of the bubble/dew point iteration.

/// tol_outer : float, optional

/// The solution tolerance in the outer loop of the bubble/dew point iteration.

/// verbosity : Verbosity, optional

/// The verbosity of the bubble/dew point iteration.

///

/// Returns

/// -------

/// PhaseDiagram

#[staticmethod]

#[pyo3(text_signature = "(eos, moles, min_temperature, npoints, critical_temperature=None, max_iter_inner=None, max_iter_outer=None, tol_inner=None, tol_outer=None, verbosity=None)")]

pub fn dew_point_line(

eos: &$py_eos,

moles: PySIArray1,

min_temperature: PySINumber,

npoints: usize,

critical_temperature: Option<PySINumber>,

max_iter_inner: Option<usize>,

max_iter_outer: Option<usize>,

tol_inner: Option<f64>,

tol_outer: Option<f64>,

verbosity: Option<Verbosity>,

) -> PyResult<Self> {

let dia = PhaseDiagram::dew_point_line(

&eos.0,

&moles,

min_temperature.into(),

npoints,

critical_temperature.map(|t| t.into()),

(

(max_iter_inner, tol_inner, verbosity).into(),

(max_iter_outer, tol_outer, verbosity).into(),

)

)?;

Ok(Self(dia))

}

/// Calculate the spinodal lines for a mixture with fixed composition.

///

/// Parameters

/// ----------

/// eos: Eos

/// The equation of state.

/// moles: SIArray1

/// The moles of the individual components

/// min_temperature: SINumber

/// The lower limit for the temperature.

/// npoints: int

/// The number of points.

/// critical_temperature: SINumber, optional

/// An estimate for the critical temperature to initialize

/// the calculation if necessary. For most components not necessary.

/// Defaults to `None`.

/// max_iter : int, optional

/// The maximum number of iterations.

/// tol: float, optional

/// The solution tolerance.

/// verbosity : Verbosity, optional

/// The verbosity.

///

/// Returns

/// -------

/// PhaseDiagram

#[staticmethod]

#[pyo3(text_signature = "(eos, moles, min_temperature, npoints, critical_temperature=None, max_iter=None, tol=None, verbosity=None)")]

pub fn spinodal(

eos: &$py_eos,

moles: PySIArray1,

min_temperature: PySINumber,

npoints: usize,

critical_temperature: Option<PySINumber>,

max_iter: Option<usize>,

tol: Option<f64>,

verbosity: Option<Verbosity>,

) -> PyResult<Self> {

let dia = PhaseDiagram::spinodal(

&eos.0,

&moles,

min_temperature.into(),

npoints,

critical_temperature.map(|t| t.into()),

(max_iter, tol, verbosity).into(),

)?;

Ok(Self(dia))

}

#[getter]

pub fn get_states(&self) -> Vec<PyPhaseEquilibrium> {

self.0

.states

.iter()

.map(|vle| PyPhaseEquilibrium(vle.clone()))

.collect()

}

#[getter]

pub fn get_vapor(&self) -> PyStateVec {

self.0.vapor().into()

}

#[getter]

pub fn get_liquid(&self) -> PyStateVec {

self.0.liquid().into()

}

/// Returns the phase diagram as dictionary.

///

/// Units

/// -----

/// temperature : K

/// pressure : Pa

/// densities : mol / m³

/// molar enthalpies : kJ / mol

/// molar entropies : kJ / mol / K

///

/// Returns

/// -------

/// dict[str, list[float]]

/// Keys: property names. Values: property for each state.

///

/// Notes

/// -----

/// xi: liquid molefraction of component i

/// yi: vapor molefraction of component i

/// i: component index according to order in parameters.

pub fn to_dict(&self) -> PyResult<HashMap<String, Vec<f64>>> {

let n = self.0.states[0].liquid().eos.components();

let mut dict = HashMap::with_capacity(8 + 2 * n);

if n != 1 {

let xs = self.0.liquid().molefracs();

let ys = self.0.vapor().molefracs();

for i in 0..n {

dict.insert(String::from(format!("x{}", i)), xs.column(i).to_vec());

dict.insert(String::from(format!("y{}", i)), ys.column(i).to_vec());

}

}

dict.insert(String::from("temperature"), (self.0.vapor().temperature() / KELVIN).into_value()?.into_raw_vec());

dict.insert(String::from("pressure"), (self.0.vapor().pressure() / PASCAL).into_value()?.into_raw_vec());

dict.insert(String::from("density liquid"), (self.0.liquid().density() / (MOL / METER.powi(3))).into_value()?.into_raw_vec());

dict.insert(String::from("density vapor"), (self.0.vapor().density() / (MOL / METER.powi(3))).into_value()?.into_raw_vec());

dict.insert(String::from("molar enthalpy liquid"), (self.0.liquid().molar_enthalpy() / (KILO*JOULE / MOL)).into_value()?.into_raw_vec());

dict.insert(String::from("molar enthalpy vapor"), (self.0.vapor().molar_enthalpy() / (KILO*JOULE / MOL)).into_value()?.into_raw_vec());

dict.insert(String::from("molar entropy liquid"), (self.0.liquid().molar_entropy() / (KILO*JOULE / KELVIN / MOL)).into_value()?.into_raw_vec());

dict.insert(String::from("molar entropy vapor"), (self.0.vapor().molar_entropy() / (KILO*JOULE / KELVIN / MOL)).into_value()?.into_raw_vec());

Ok(dict)

}

/// Binary phase diagram calculated using bubble/dew point iterations.

///

/// Parameters

/// ----------

/// eos : EquationOfState

/// The equation of state.

/// temperature_or_pressure: SINumber

/// The constant temperature or pressure.

/// npoints: int, optional

/// The number of points (default 51).

/// x_lle: (float, float), optional

/// An estimate for the molefractions of component 1

/// at the heteroazeotrop

/// max_iter_inner : int, optional

/// The maximum number of inner iterations in the bubble/dew point iteration.

/// max_iter_outer : int, optional

/// The maximum number of outer iterations in the bubble/dew point iteration.

/// tol_inner : float, optional

/// The solution tolerance in the inner loop of the bubble/dew point iteration.

/// tol_outer : float, optional

/// The solution tolerance in the outer loop of the bubble/dew point iteration.

/// verbosity : Verbosity, optional

/// The verbosity of the bubble/dew point iteration.

///

/// Returns

/// -------

/// PhaseDiagram

#[staticmethod]

#[pyo3(text_signature = "(eos, temperature_or_pressure, npoints=None, x_lle=None, max_iter_inner=None, max_iter_outer=None, tol_inner=None, tol_outer=None, verbosity=None)")]

pub fn binary_vle(

eos: $py_eos,

temperature_or_pressure: PySINumber,

npoints: Option<usize>,

x_lle: Option<(f64, f64)>,

max_iter_inner: Option<usize>,

max_iter_outer: Option<usize>,

tol_inner: Option<f64>,

tol_outer: Option<f64>,

verbosity: Option<Verbosity>,

) -> PyResult<Self> {

let dia = PhaseDiagram::binary_vle(

&eos.0,

temperature_or_pressure.into(),

npoints,

x_lle,

(

(max_iter_inner, tol_inner, verbosity).into(),

(max_iter_outer, tol_outer, verbosity).into(),

)

)?;

Ok(Self(dia))

}

/// Create a new phase diagram using Tp flash calculations.

///

/// The usual use case for this function is the calculation of

/// liquid-liquid phase diagrams, but it can be used for vapor-

/// liquid diagrams as well, as long as the feed composition is

/// in a two phase region.

///

/// Parameters

/// ----------

/// eos : EquationOfState

/// The equation of state.

/// temperature_or_pressure: SINumber

/// The consant temperature or pressure.

/// feed: SIArray1

/// Mole numbers in the (unstable) feed state.

/// min_tp:

/// The lower limit of the temperature/pressure range.

/// max_tp:

/// The upper limit of the temperature/pressure range.

/// npoints: int, optional

/// The number of points (default 51).

///

/// Returns

/// -------

/// PhaseDiagram

#[staticmethod]

#[pyo3(text_signature = "(eos, temperature_or_pressure, feed, min_tp, max_tp, npoints=None)")]

pub fn lle(

eos: $py_eos,

temperature_or_pressure: PySINumber,

feed: PySIArray1,

min_tp: PySINumber,

max_tp: PySINumber,

npoints: Option<usize>,

) -> PyResult<Self> {

let dia = PhaseDiagram::lle(

&eos.0,

temperature_or_pressure.into(),

&feed,

min_tp.into(),

max_tp.into(),

npoints,

)?;

Ok(Self(dia))

}

}

/// Phase diagram for a binary mixture exhibiting a heteroazeotrope.

#[pyclass(name = "PhaseDiagramHetero", unsendable)]

pub struct PyPhaseDiagramHetero(PhaseDiagramHetero<SIUnit, $eos>);

#[pymethods]

impl PyPhaseDiagram {

/// Phase diagram for a binary mixture exhibiting a heteroazeotrope.

///

/// Parameters

/// ----------

/// eos: SaftFunctional

/// The SAFT Helmholtz energy functional.

/// temperature_or_pressure: SINumber

/// The temperature_or_pressure.

/// x_lle: SINumber

/// Initial values for the molefractions of component 1

/// at the heteroazeotrop.

/// tp_lim_lle: SINumber, optional

/// The minimum temperature up to which the LLE is calculated.

/// If it is not provided, no LLE is calcualted.

/// tp_init_vlle: SINumber, optional

/// Initial value for the calculation of the VLLE.

/// npoints_vle: int, optional

/// The number of points for the VLE (default 51).

/// npoints_lle: int, optional

/// The number of points for the LLE (default 51).

/// max_iter_inner : int, optional

/// The maximum number of inner iterations in the bubble/dew point iteration.

/// max_iter_outer : int, optional

/// The maximum number of outer iterations in the bubble/dew point iteration.

/// tol_inner : float, optional

/// The solution tolerance in the inner loop of the bubble/dew point iteration.

/// tol_outer : float, optional

/// The solution tolerance in the outer loop of the bubble/dew point iteration.

/// verbosity : Verbosity, optional

/// The verbosity of the bubble/dew point iteration.

///

/// Returns

/// -------

/// PhaseDiagramHetero

#[staticmethod]

#[pyo3(text_signature = "(eos, temperature_or_pressure, x_lle, tp_lim_lle=None, tp_init_vlle=None, npoints_vle=None, npoints_lle=None, max_iter_bd_inner=None, max_iter_bd_outer=None, tol_bd_inner=None, tol_bd_outer=None, verbosity_bd=None)")]

pub fn binary_vlle(

eos: $py_eos,

temperature_or_pressure: PySINumber,

x_lle: (f64, f64),

tp_lim_lle: Option<PySINumber>,

tp_init_vlle: Option<PySINumber>,

npoints_vle: Option<usize>,

npoints_lle: Option<usize>,

max_iter_inner: Option<usize>,

max_iter_outer: Option<usize>,

tol_inner: Option<f64>,

tol_outer: Option<f64>,

verbosity: Option<Verbosity>,

) -> PyResult<PyPhaseDiagramHetero> {

let dia = PhaseDiagram::binary_vlle(

&eos.0,

temperature_or_pressure.into(),

x_lle,

tp_lim_lle.map(|t| t.into()),

tp_init_vlle.map(|t| t.into()),

npoints_vle,

npoints_lle,

(

(max_iter_inner, tol_inner, verbosity).into(),

(max_iter_outer, tol_outer, verbosity).into(),

)

)?;

Ok(PyPhaseDiagramHetero(dia))

}

}

#[pymethods]

impl PyPhaseDiagramHetero {

#[getter]

pub fn get_vle(&self) -> PyPhaseDiagram {

PyPhaseDiagram(self.0.vle().clone())

}

#[getter]

pub fn get_vle1(&self) -> PyPhaseDiagram {

PyPhaseDiagram(self.0.vle1.clone())

}

#[getter]

pub fn get_vle2(&self) -> PyPhaseDiagram {

PyPhaseDiagram(self.0.vle2.clone())

}

#[getter]

pub fn get_lle(&self) -> Option<PyPhaseDiagram> {

self.0

.lle

.as_ref()

.map(|d| PyPhaseDiagram(d.clone()))

}

}

}