Struct didppy::ModelPy

pub struct ModelPy(_);

DyPDL model.

Parameters

maximize: bool, default: false Maximize the cost or not. float_cost: bool, default: false Use a continuous value to represent the cost or not.

Examples

Create a model.

import didppy as dp model = dp.Model(maximize=False, float_cost=False) model.maximize False model.float_cost False

Get and set the target state.

import didppy as dp model = dp.Model() var = model.add_int_var(target=4) state = model.target_state state[var] 4 state[var] = 5 model.target_state = state model.target_state[var] 5

Implementations

impl ModelPy

pub fn inner_as_ref(&self) -> &Model

Get the model as reference.

impl ModelPy

pub fn float_cost(&self) -> bool

bool : If the cost is represented by a continuous value or not.

Trait Implementations

impl Clone for ModelPy

fn clone(&self) -> ModelPy

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ModelPy

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for ModelPy

fn default() -> ModelPy

Returns the “default value” for a type.

impl From<Model> for ModelPy

fn from(model: Model) -> Self

Converts to this type from the input type.

impl From<ModelPy> for Model

fn from(model: ModelPy) -> Self

Converts to this type from the input type.

impl IntoPy<Py<PyAny>> for ModelPy

fn into_py(self, py: Python<'_>) -> PyObject

Performs the conversion.

impl PartialEq<ModelPy> for ModelPy

fn eq(&self, other: &ModelPy) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl PyClass for ModelPy

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for ModelPy

const DOC: &'static str = _

Class doc string

const IS_BASETYPE: bool = false

#[pyclass(subclass)]

const IS_SUBCLASS: bool = false

#[pyclass(extends=…)]

const IS_MAPPING: bool = false

#[pyclass(mapping)]

const IS_SEQUENCE: bool = false

#[pyclass(sequence)]

type Layout = PyCell<ModelPy>

Layout

type BaseType = PyAny

Base class

type ThreadChecker = ThreadCheckerStub<ModelPy>

This handles following two situations:

type PyClassMutability = <<PyAny as PyClassBaseType>::PyClassMutability as PyClassMutability>::MutableChild

Immutable or mutable

type Dict = PyClassDummySlot

Specify this class has #[pyclass(dict)] or not.

type WeakRef = PyClassDummySlot

Specify this class has #[pyclass(weakref)] or not.

type BaseNativeType = PyAny

The closest native ancestor. This is PyAny by default, and when you declare #[pyclass(extends=PyDict)], it’s PyDict.

fn items_iter() -> PyClassItemsIter

fn lazy_type_object() -> &'static LazyTypeObject<Self>

fn dict_offset() -> Option<isize>

fn weaklist_offset() -> Option<isize>

impl<'a, 'py> PyFunctionArgument<'a, 'py> for &'a ModelPy

type Holder = Option<PyRef<'py, ModelPy>>

fn extract(obj: &'py PyAny, holder: &'a mut Self::Holder) -> PyResult<Self>

impl<'a, 'py> PyFunctionArgument<'a, 'py> for &'a mut ModelPy

type Holder = Option<PyRefMut<'py, ModelPy>>

fn extract(obj: &'py PyAny, holder: &'a mut Self::Holder) -> PyResult<Self>

impl PyMethods<ModelPy> for PyClassImplCollector<ModelPy>

fn py_methods(self) -> &'static PyClassItems

impl PyTypeInfo for ModelPy

type AsRefTarget = PyCell<ModelPy>

Utility type to make Py::as_ref work.

const NAME: &'static str = _

Class name.

const MODULE: Option<&'static str> = ::core::option::Option::None

Module name, if any.

fn type_object_raw(py: Python<'_>) -> *mut PyTypeObject

Returns the PyTypeObject instance for this type.

fn type_object(py: Python<'_>) -> &PyType

Returns the safe abstraction over the type object.

fn is_type_of(object: &PyAny) -> bool

Checks if object is an instance of this type or a subclass of this type.

fn is_exact_type_of(object: &PyAny) -> bool

Checks if object is an instance of this type.

impl StructuralPartialEq for ModelPy