Struct RiDeviceDiscoveryEngine 

pub struct RiDeviceDiscoveryEngine { /* private fields */ }

Device Discovery and Resource Scheduling

This file implements advanced device discovery and resource scheduling algorithms for Ri. It provides two main components:

1. RiDeviceDiscoveryEngine: Advanced device discovery using machine learning and heuristics
2. RiResourceScheduler: Resource scheduling algorithm using performance history and policies

Design Principles

1. Machine Learning Integration: Uses pattern recognition and confidence scoring for device identification
2. Heuristic Optimization: Implements intelligent resource allocation based on device capabilities and load
3. Scalability: Designed to handle large numbers of devices and requests
4. Flexibility: Supports custom scheduling policies and device fingerprints
5. Performance Focus: Optimizes for low latency and high throughput
6. Adaptability: Learns from discovery and performance history

Usage Examples

use ri::device::{RiDeviceDiscoveryEngine, RiResourceScheduler, ResourceRequest, DeviceScanResult};
 
fn example() {
    // Create discovery engine
    let mut discovery_engine = RiDeviceDiscoveryEngine::new();
     
    // Create scan results
    let scan_results = vec![
        DeviceScanResult {
            device_id: "device-123".to_string(),
            device_name: "NVIDIA RTX 3090".to_string(),
            device_info: HashMap::from([
                ("device_name".to_string(), "NVIDIA RTX 3090".to_string()),
                ("driver".to_string(), "CUDA 12.0".to_string())
            ])
        }
    ];
     
    // Discover devices
    let discovered_devices = discovery_engine.discover_devices(scan_results);
     
    // Create resource scheduler
    let mut scheduler = RiResourceScheduler::new();
     
    // Create resource request
    let request = ResourceRequest {
        request_id: "req-456".to_string(),
        required_memory_gb: Some(16.0),
        required_compute_units: Some(512),
        required_bandwidth_gbps: Some(900.0),
        required_custom_capabilities: HashMap::from([
            ("cuda_support".to_string(), "true".to_string())
        ]),
        priority: 5,
        deadline: None
    };
     
    // Schedule resource
    let assigned_device = scheduler.schedule_resource(&request, &discovered_devices);
}

Advanced device discovery algorithm using machine learning and heuristics

This engine uses pattern recognition, confidence scoring, and historical data to identify devices with high accuracy. It maintains a database of device fingerprints and uses them to match discovered devices based on identification patterns.

Implementations

impl RiDeviceDiscoveryEngine

pub fn new() -> Self

pub fn discover_devices( &mut self, scan_results: Vec<DeviceScanResult>, ) -> Vec<RiDevice>

pub fn get_confidence_threshold(&self) -> f64

pub fn set_confidence_threshold(&mut self, threshold: f64)

pub fn get_discovery_stats(&self) -> DiscoveryStats

Trait Implementations

impl Clone for RiDeviceDiscoveryEngine

fn clone(&self) -> RiDeviceDiscoveryEngine

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RiDeviceDiscoveryEngine

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

Formats the value using the given formatter.

impl Default for RiDeviceDiscoveryEngine

fn default() -> Self

Returns the “default value” for a type.

impl<'py> IntoPyObject<'py> for RiDeviceDiscoveryEngine

type Target = RiDeviceDiscoveryEngine

The Python output type

type Output = Bound<'py, <RiDeviceDiscoveryEngine 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 PyClass for RiDeviceDiscoveryEngine

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for RiDeviceDiscoveryEngine

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 = c"# Device Discovery and Resource Scheduling\n\nThis file implements advanced device discovery and resource scheduling algorithms for Ri.\nIt provides two main components:\n\n1. **RiDeviceDiscoveryEngine**: Advanced device discovery using machine learning and heuristics\n2. **RiResourceScheduler**: Resource scheduling algorithm using performance history and policies\n\n## Design Principles\n\n1. **Machine Learning Integration**: Uses pattern recognition and confidence scoring for device identification\n2. **Heuristic Optimization**: Implements intelligent resource allocation based on device capabilities and load\n3. **Scalability**: Designed to handle large numbers of devices and requests\n4. **Flexibility**: Supports custom scheduling policies and device fingerprints\n5. **Performance Focus**: Optimizes for low latency and high throughput\n6. **Adaptability**: Learns from discovery and performance history\n\n## Usage Examples\n\n```rust\nuse ri::device::{RiDeviceDiscoveryEngine, RiResourceScheduler, ResourceRequest, DeviceScanResult};\n\nfn example() {\n // Create discovery engine\n let mut discovery_engine = RiDeviceDiscoveryEngine::new();\n \n // Create scan results\n let scan_results = vec![\n DeviceScanResult {\n device_id: \"device-123\".to_string(),\n device_name: \"NVIDIA RTX 3090\".to_string(),\n device_info: HashMap::from([\n (\"device_name\".to_string(), \"NVIDIA RTX 3090\".to_string()),\n (\"driver\".to_string(), \"CUDA 12.0\".to_string())\n ])\n }\n ];\n \n // Discover devices\n let discovered_devices = discovery_engine.discover_devices(scan_results);\n \n // Create resource scheduler\n let mut scheduler = RiResourceScheduler::new();\n \n // Create resource request\n let request = ResourceRequest {\n request_id: \"req-456\".to_string(),\n required_memory_gb: Some(16.0),\n required_compute_units: Some(512),\n required_bandwidth_gbps: Some(900.0),\n required_custom_capabilities: HashMap::from([\n (\"cuda_support\".to_string(), \"true\".to_string())\n ]),\n priority: 5,\n deadline: None\n };\n \n // Schedule resource\n let assigned_device = scheduler.schedule_resource(&request, &discovered_devices);\n}\n```\nAdvanced device discovery algorithm using machine learning and heuristics\n\nThis engine uses pattern recognition, confidence scoring, and historical data to identify\ndevices with high accuracy. It maintains a database of device fingerprints and uses\nthem to match discovered devices based on identification patterns.\x00"

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 BaseType = PyAny

Base class

type ThreadChecker = SendablePyClass<RiDeviceDiscoveryEngine>

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 PyClassNewTextSignature for RiDeviceDiscoveryEngine

const TEXT_SIGNATURE: &'static str = "()"

impl PyMethods<RiDeviceDiscoveryEngine> for PyClassImplCollector<RiDeviceDiscoveryEngine>

fn py_methods(self) -> &'static PyClassItems

impl PyTypeInfo for RiDeviceDiscoveryEngine

const NAME: &'static str = "RiDeviceDiscoveryEngine"

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<'_>) -> 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.

impl DerefToPyAny for RiDeviceDiscoveryEngine

impl ExtractPyClassWithClone for RiDeviceDiscoveryEngine