Struct tiny_solver::optimizer::OptimizerOptions

pub struct OptimizerOptions {
    pub max_iteration: usize,
    pub linear_solver_type: LinearSolver,
    pub verbosity_level: usize,
    pub min_abs_error_decrease_threshold: f64,
    pub min_rel_error_decrease_threshold: f64,
    pub min_error_threshold: f64,
}

Fields

max_iteration: usize

linear_solver_type: LinearSolver

verbosity_level: usize

min_abs_error_decrease_threshold: f64

min_rel_error_decrease_threshold: f64

min_error_threshold: f64

Implementations

impl OptimizerOptions

pub fn new( max_iteration: usize, linear_solver_type: LinearSolver, verbosity_level: usize, min_abs_error_decrease_threshold: f64, min_rel_error_decrease_threshold: f64, min_error_threshold: f64 ) -> Self

Trait Implementations

impl Clone for OptimizerOptions

fn clone(&self) -> OptimizerOptions

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Default for OptimizerOptions

fn default() -> Self

Returns the “default value” for a type.

impl IntoPy<Py<PyAny>> for OptimizerOptions

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

Performs the conversion.

impl PyClass for OptimizerOptions

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for OptimizerOptions

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 BaseType = PyAny

Base class

type ThreadChecker = SendablePyClass<OptimizerOptions>

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 doc(py: Python<'_>) -> PyResult<&'static CStr>

Rendered class doc

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

fn dict_offset() -> Option<isize>

fn weaklist_offset() -> Option<isize>

impl PyClassNewTextSignature<OptimizerOptions> for PyClassImplCollector<OptimizerOptions>

fn new_text_signature(self) -> Option<&'static str>

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

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

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

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

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

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

impl PyMethods<OptimizerOptions> for PyClassImplCollector<OptimizerOptions>

fn py_methods(self) -> &'static PyClassItems

impl PyTypeInfo for OptimizerOptions

type AsRefTarget = PyCell<OptimizerOptions>

Utility type to make Py::as_ref work.

const NAME: &'static str = "OptimizerOptions"

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.