scirs2-fft 0.4.2

Fast Fourier Transform module for SciRS2 (scirs2-fft)
Documentation 
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//! Signal pattern analyzer for FFT operations

use super::types::*;
use crate::error::FFTResult;
use scirs2_core::numeric::Float;
use std::collections::HashMap;
use std::fmt::Debug;

/// Signal pattern analyzer
#[derive(Debug)]
#[allow(dead_code)]
pub struct SignalPatternAnalyzer<F: Float + Debug> {
    /// Pattern database
    pub(crate) pattern_db: HashMap<PatternSignature, PatternData<F>>,
    /// Current analysis state
    pub(crate) analysis_state: AnalysisState<F>,
    /// Pattern recognition model
    pub(crate) recognition_model: PatternRecognitionModel<F>,
}

/// Pattern signature for identification
#[derive(Debug, Clone, Hash, Eq, PartialEq)]
pub struct PatternSignature {
    /// Pattern type
    pub pattern_type: PatternType,
    /// Size characteristics
    pub size_range: (usize, usize),
    /// Frequency characteristics
    pub frequency_profile: FrequencyProfile,
}

/// Pattern data for analysis
#[derive(Debug, Clone)]
pub struct PatternData<F: Float> {
    /// Optimal algorithm for this pattern
    pub optimal_algorithm: FftAlgorithmType,
    /// Performance characteristics
    pub performance_characteristics: PerformanceCharacteristics,
    /// Preprocessing recommendations
    pub preprocessing_recommendations: Vec<PreprocessingStep>,
    /// Confidence score
    pub confidence: F,
}

/// Performance characteristics for patterns
#[derive(Debug, Clone)]
pub struct PerformanceCharacteristics {
    /// Expected execution time multiplier
    pub time_multiplier: f64,
    /// Expected memory usage multiplier
    pub memory_multiplier: f64,
    /// Expected accuracy
    pub expected_accuracy: f64,
}

/// Analysis state
#[derive(Debug)]
#[allow(dead_code)]
pub struct AnalysisState<F: Float> {
    /// Current signal being analyzed
    pub(crate) current_signal: Option<SignalProfile<F>>,
    /// Analysis progress
    pub(crate) progress: f64,
    /// Intermediate results
    pub(crate) intermediate_results: HashMap<String, f64>,
}

/// Pattern recognition model
#[derive(Debug)]
#[allow(dead_code)]
pub struct PatternRecognitionModel<F: Float> {
    /// Feature extractors
    pub(crate) feature_extractors: Vec<FeatureExtractor<F>>,
    /// Classification weights
    pub(crate) classification_weights: HashMap<String, f64>,
    /// Model accuracy
    pub(crate) model_accuracy: f64,
}

/// Feature extractor for pattern recognition
#[derive(Debug)]
pub struct FeatureExtractor<F: Float> {
    /// Feature name
    pub name: String,
    /// Feature extraction function
    pub extractor: fn(&[F]) -> f64,
    /// Feature importance weight
    pub importance: f64,
}

impl<F: Float + Debug> SignalPatternAnalyzer<F> {
    pub fn new() -> FFTResult<Self> {
        Ok(Self {
            pattern_db: HashMap::new(),
            analysis_state: AnalysisState::new()?,
            recognition_model: PatternRecognitionModel::new()?,
        })
    }
}

impl<F: Float> AnalysisState<F> {
    pub fn new() -> FFTResult<Self> {
        Ok(Self {
            current_signal: None,
            progress: 0.0,
            intermediate_results: HashMap::new(),
        })
    }
}

impl<F: Float> PatternRecognitionModel<F> {
    pub fn new() -> FFTResult<Self> {
        Ok(Self {
            feature_extractors: Vec::new(),
            classification_weights: HashMap::new(),
            model_accuracy: 0.0,
        })
    }
}