scirs2_stats/
advanced_stubs.rs1#![allow(dead_code)]
5
6use crate::error::StatsResult;
7use scirs2_core::ndarray::{Array1, Array2};
8use scirs2_core::numeric::Float;
9use std::collections::HashMap;
10use std::time::Duration;
11
12#[derive(Debug, Clone)]
14pub struct AdvancedParallelProcessor;
15
16impl AdvancedParallelProcessor {
17 pub fn new() -> Self {
18 Self
19 }
20}
21
22#[derive(Debug, Clone)]
24pub struct AdvancedParallelConfig;
25
26impl Default for AdvancedParallelConfig {
27 fn default() -> Self {
28 Self
29 }
30}
31
32#[derive(Debug, Clone, Copy)]
34pub enum MatrixOperationType {
35 CovarianceMatrix,
36 CorrelationMatrix,
37}
38
39#[derive(Debug, Clone, Copy)]
41pub enum TimeSeriesOperation {
42 MovingAverage,
43}
44
45#[derive(Debug, Clone)]
47pub struct AdvancedParallelBatchResult<F> {
48 pub mean: F,
49 pub variance: F,
50 pub std_dev: F,
51 pub min: F,
52 pub max: F,
53 pub count: usize,
54 pub sum: F,
55}
56
57#[derive(Debug, Clone)]
59pub struct AdvancedParallelMatrixResult<F> {
60 pub result: Array2<F>,
61}
62
63#[derive(Debug, Clone)]
65pub struct AdvancedParallelTimeSeriesResult<F> {
66 pub result: Array1<F>,
67}
68
69pub fn create_advanced_parallel_processor() -> AdvancedParallelProcessor {
71 AdvancedParallelProcessor::new()
72}
73
74#[derive(Debug, Clone)]
76pub struct AdvancedNumericalStabilityAnalyzer;
77
78#[derive(Debug, Clone)]
79pub struct ComprehensiveStabilityResult;
80
81#[derive(Debug, Clone)]
82pub struct AdvancedNumericalStabilityConfig;
83
84impl Default for AdvancedNumericalStabilityConfig {
85 fn default() -> Self {
86 Self
87 }
88}
89
90pub fn create_exhaustive_numerical_stability_tester() -> AdvancedNumericalStabilityAnalyzer {
91 AdvancedNumericalStabilityAnalyzer
92}
93
94impl AdvancedNumericalStabilityAnalyzer {
95 pub fn analyze_statistical_stability<F, D>(
96 &self,
97 _data: &scirs2_core::ndarray::ArrayBase<D, scirs2_core::ndarray::Ix1>,
98 ) -> ComprehensiveStabilityResult
99 where
100 F: Float,
101 D: scirs2_core::ndarray::Data<Elem = F>,
102 {
103 ComprehensiveStabilityResult
104 }
105}
106
107#[derive(Debug, Clone)]
109pub struct AdvancedSimdConfig {
110 pub memory_threshold_mb: f64,
111}
112
113impl Default for AdvancedSimdConfig {
114 fn default() -> Self {
115 Self {
116 memory_threshold_mb: 1000.0,
117 }
118 }
119}
120
121#[derive(Debug, Clone)]
123pub struct AdvancedSimdOptimizer {
124 config: AdvancedSimdConfig,
125}
126
127impl AdvancedSimdOptimizer {
128 pub fn new(config: AdvancedSimdConfig) -> Self {
129 Self { config }
130 }
131
132 pub fn advanced_batch_statistics<F>(
133 &self,
134 _data_arrays: &[scirs2_core::ndarray::ArrayView1<F>],
135 _operations: &[BatchOperation],
136 ) -> StatsResult<BatchResults<F>>
137 where
138 F: Float + Copy,
139 {
140 Ok(BatchResults {
142 mean: F::zero(),
143 variance: F::zero(),
144 std_dev: F::zero(),
145 skewness: F::zero(),
146 kurtosis: F::zero(),
147 min: F::zero(),
148 max: F::zero(),
149 count: 0,
150 sum: F::zero(),
151 sum_squares: F::zero(),
152 })
153 }
154}
155
156#[derive(Debug, Clone, Copy)]
158pub enum BatchOperation {
159 Mean,
160 Variance,
161 StandardDeviation,
162 Covariance,
163 Correlation,
164}
165
166#[derive(Debug, Clone)]
168pub struct BatchResults<F> {
169 pub mean: F,
170 pub variance: F,
171 pub std_dev: F,
172 pub skewness: F,
173 pub kurtosis: F,
174 pub min: F,
175 pub max: F,
176 pub count: usize,
177 pub sum: F,
178 pub sum_squares: F,
179}
180
181