Struct StaticLatencyModel 

pub struct StaticLatencyModel { /* private fields */ }

Static latency model with fixed latency values.

Models the latency for different order operations including base network latency and specific operation latencies for insert, update, and delete operations.

The base latency is automatically added to each operation latency, matching Python’s behavior. For example, if base_latency_nanos = 100ms and insert_latency_nanos = 200ms, the effective insert latency will be 300ms.

Implementations

impl StaticLatencyModel

pub fn new( base_latency_nanos: UnixNanos, insert_latency_nanos: UnixNanos, update_latency_nanos: UnixNanos, delete_latency_nanos: UnixNanos, ) -> Self

Creates a new StaticLatencyModel instance.

The base latency is added to each operation latency to get the effective latency.

Arguments

• base_latency_nanos - Base network latency added to all operations
• insert_latency_nanos - Additional latency for order insertion
• update_latency_nanos - Additional latency for order updates
• delete_latency_nanos - Additional latency for order cancellation

Trait Implementations

impl Clone for StaticLatencyModel

fn clone(&self) -> StaticLatencyModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for StaticLatencyModel

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

Formats the value using the given formatter.

impl DerefToPyAny for StaticLatencyModel

impl Display for StaticLatencyModel

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

Formats the value using the given formatter.

impl<'a, 'py> FromPyObject<'a, 'py> for StaticLatencyModel

where Self: Clone,

type Error = PyClassGuardError<'a, 'py>

The type returned in the event of a conversion error.

fn extract( obj: Borrowed<'a, 'py, PyAny>, ) -> Result<Self, <Self as FromPyObject<'a, 'py>>::Error>

Extracts Self from the bound smart pointer obj.

impl<'py> IntoPyObject<'py> for StaticLatencyModel

type Target = StaticLatencyModel

The Python output type

type Output = Bound<'py, <StaticLatencyModel as IntoPyObject<'py>>::Target>

The smart pointer type to use.

type Error = PyErr

The type returned in the event of a conversion error.

fn into_pyobject( self, py: Python<'py>, ) -> Result<<Self as IntoPyObject<'_>>::Output, <Self as IntoPyObject<'_>>::Error>

Performs the conversion.

impl LatencyModel for StaticLatencyModel

fn get_insert_latency(&self) -> UnixNanos

Returns the latency for order insertion operations.

fn get_update_latency(&self) -> UnixNanos

Returns the latency for order update/modify operations.

fn get_delete_latency(&self) -> UnixNanos

Returns the latency for order delete/cancel operations.

fn get_base_latency(&self) -> UnixNanos

Returns the base latency component.

impl PyClass for StaticLatencyModel

const NAME: &str = "StaticLatencyModel"

Name of the class.

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for StaticLatencyModel

const MODULE: Option<&str>

Module which the class will be associated with.

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)]

const IS_IMMUTABLE_TYPE: bool = false

#[pyclass(immutable_type)]

const RAW_DOC: &'static CStr = /// Static latency model with fixed latency values. /// /// Models the latency for different order operations including base network latency /// and specific operation latencies for insert, update, and delete operations. /// /// The base latency is automatically added to each operation latency, matching /// Python's behavior. For example, if `base_latency_nanos = 100ms` and /// `insert_latency_nanos = 200ms`, the effective insert latency will be 300ms.

Docstring for the class provided on the struct or enum.

const DOC: &'static CStr

Fully rendered class doc, including the text_signature if a constructor is defined.

type Layout = <<StaticLatencyModel as PyClassImpl>::BaseNativeType as PyClassBaseType>::Layout<StaticLatencyModel>

Description of how this class is laid out in memory

type BaseType = PyAny

Base class

type ThreadChecker = ThreadCheckerImpl

This handles following two situations:

type Inventory = Pyo3MethodsInventoryForStaticLatencyModel

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<PyObjectOffset>

Used to provide the dictoffset slot (equivalent to tp_dictoffset)

fn weaklist_offset() -> Option<PyObjectOffset>

Used to provide the weaklistoffset slot (equivalent to tp_weaklistoffset

impl PyClassNewTextSignature for StaticLatencyModel

const TEXT_SIGNATURE: &'static str = "(base_latency_nanos=0, insert_latency_nanos=0, update_latency_nanos=0, cancel_latency_nanos=0)"

impl PyStubType for StaticLatencyModel

fn type_output() -> TypeInfo

The type to be used in the output signature, i.e. return type of the Python function or methods.

fn type_input() -> TypeInfo

The type to be used in the input signature, i.e. the arguments of the Python function or methods.

impl PyTypeInfo for StaticLatencyModel

const NAME: &str = <Self as ::pyo3::PyClass>::NAME

👎Deprecated since 0.28.0:

prefer using ::type_object(py).name() to get the correct runtime value

Class name.

const MODULE: Option<&str> = <Self as ::pyo3::impl_::pyclass::PyClassImpl>::MODULE

👎Deprecated since 0.28.0:

prefer using ::type_object(py).module() to get the correct runtime value

Module name, if any.

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

Returns the PyTypeObject instance for this type.

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

Returns the safe abstraction over the type object.

fn is_type_of(object: &Bound<'_, PyAny>) -> bool

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

fn is_exact_type_of(object: &Bound<'_, PyAny>) -> bool

Checks if object is an instance of this type.