use crate::builder::Circuit;
use crate::scirs2_integration::{AnalyzerConfig, GraphMetrics, GraphMotif, SciRS2CircuitAnalyzer};
use quantrs2_core::{
error::{QuantRS2Error, QuantRS2Result},
gate::GateOp,
qubit::QubitId,
};
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, HashSet, VecDeque};
use std::sync::{Arc, RwLock};
use std::time::{Duration, Instant, SystemTime};
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum BestPracticeRule {
ErrorHandling {
required_error_handling: Vec<String>,
},
ResourceManagement {
max_resource_usage: HashMap<String, f64>,
},
Documentation {
min_documentation_coverage: f64,
required_documentation_types: Vec<String>,
},
Testing {
min_test_coverage: f64,
required_test_types: Vec<String>,
},
Performance {
performance_targets: HashMap<String, f64>,
},
Security { security_requirements: Vec<String> },
Maintainability {
maintainability_metrics: HashMap<String, f64>,
},
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum Importance {
Low,
Medium,
High,
Critical,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PatternAnalysisResult {
pub detected_patterns: Vec<PatternDetectionResult>,
pub pattern_interactions: Vec<PatternInteraction>,
pub pattern_score: f64,
pub pattern_diversity: f64,
}
pub struct StyleChecker<const N: usize> {
rules: Vec<StyleRule>,
results: HashMap<String, StyleCheckResult>,
config: StyleConfig,
}
impl<const N: usize> StyleChecker<N> {
#[must_use]
pub fn new() -> Self {
Self {
rules: Vec::new(),
results: HashMap::new(),
config: StyleConfig {
enabled_rules: Vec::new(),
custom_settings: HashMap::new(),
strictness: StyleStrictness::Moderate,
suggest_auto_format: true,
},
}
}
pub const fn check_all_styles(
&self,
circuit: &Circuit<N>,
config: &LinterConfig,
) -> QuantRS2Result<(Vec<LintIssue>, StyleAnalysisResult)> {
let issues = Vec::new();
let analysis = StyleAnalysisResult {
overall_score: 1.0,
check_results: Vec::new(),
consistency_score: 1.0,
readability_score: 1.0,
};
Ok((issues, analysis))
}
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ComplexityAnalysisResult {
pub metrics: ComplexityMetrics,
pub trends: Vec<ComplexityTrend>,
pub simplification_suggestions: Vec<SimplificationSuggestion>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CircuitLocation {
pub gate_range: (usize, usize),
pub qubits: Vec<usize>,
pub depth_range: (usize, usize),
pub line_col: Option<(usize, usize)>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum IndentationStyle {
Spaces { count: usize },
Tabs,
Mixed { tab_size: usize },
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AntiPatternDetectionResult {
pub antipattern_name: String,
pub confidence: f64,
pub locations: Vec<CircuitLocation>,
pub severity: Severity,
pub performance_cost: PerformanceImpact,
pub remediation: String,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ParameterConstraint {
pub parameter: String,
pub constraint: ConstraintType,
pub value: f64,
pub tolerance: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StyleViolation {
pub violation_type: String,
pub location: CircuitLocation,
pub description: String,
pub suggested_fix: String,
pub auto_fixable: bool,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CustomGuideline {
pub name: String,
pub description: String,
pub importance: Importance,
pub checker: String,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ComplianceLevel {
Excellent,
Good,
Fair,
Poor,
NonCompliant,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum QubitOrderingStyle {
Sequential,
ReverseSequential,
Logical,
Custom { ordering: Vec<usize> },
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceProjection {
pub current_performance: PerformanceMetrics,
pub projected_performance: PerformanceMetrics,
pub improvement_confidence: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum Risk {
Low,
Medium,
High,
VeryHigh,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LintIssue {
pub issue_type: IssueType,
pub severity: Severity,
pub title: String,
pub description: String,
pub location: CircuitLocation,
pub suggested_fix: Option<String>,
pub auto_fixable: bool,
pub rule_id: String,
pub confidence: f64,
pub performance_impact: Option<PerformanceImpact>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PatternFlexibility {
pub allow_reordering: bool,
pub allow_additional_gates: bool,
pub allow_parameter_variations: bool,
pub max_distance: usize,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum StyleRule {
ConsistentGateNaming { naming_convention: NamingConvention },
ProperQubitOrdering { ordering_style: QubitOrderingStyle },
CircuitFormatting {
max_line_length: usize,
indentation_style: IndentationStyle,
},
CommentRequirements {
min_comment_density: f64,
required_sections: Vec<String>,
},
GateGrouping { grouping_style: GateGroupingStyle },
ParameterFormatting {
precision: usize,
scientific_notation_threshold: f64,
},
MeasurementPlacement {
placement_style: MeasurementPlacementStyle,
},
BarrierUsage { usage_style: BarrierUsageStyle },
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ScalingBehavior {
pub time_complexity: String,
pub space_complexity: String,
pub scaling_exponent: f64,
pub scaling_confidence: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SimplificationSuggestion {
pub simplification_type: SimplificationType,
pub location: CircuitLocation,
pub complexity_reduction: f64,
pub strategy: String,
pub risk: Risk,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ComplexityClassification {
Low,
Medium,
High,
VeryHigh,
Intractable,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ConstraintType {
Equal,
LessThan,
GreaterThan,
Between { min: f64, max: f64 },
MultipleOf,
}
pub struct PatternDetector<const N: usize> {
patterns: Vec<QuantumPattern<N>>,
detection_results: HashMap<String, PatternDetectionResult>,
analyzer: SciRS2CircuitAnalyzer,
}
impl<const N: usize> PatternDetector<N> {
#[must_use]
pub fn new() -> Self {
Self {
patterns: Vec::new(),
detection_results: HashMap::new(),
analyzer: SciRS2CircuitAnalyzer::new(),
}
}
pub const fn detect_all_patterns(
&self,
circuit: &Circuit<N>,
config: &LinterConfig,
) -> QuantRS2Result<PatternAnalysisResult> {
Ok(PatternAnalysisResult {
detected_patterns: Vec::new(),
pattern_interactions: Vec::new(),
pattern_score: 1.0,
pattern_diversity: 0.0,
})
}
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PatternStatistics {
pub occurrences: usize,
pub total_gates: usize,
pub coverage: f64,
pub complexity: f64,
pub efficiency: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum Difficulty {
Easy,
Moderate,
Hard,
Expert,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimizationAnalysisResult {
pub opportunities: Vec<OptimizationSuggestion>,
pub optimization_potential: f64,
pub recommended_optimizations: Vec<String>,
pub performance_projection: PerformanceProjection,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PracticeGuidelines {
pub industry_standards: Vec<String>,
pub custom_guidelines: Vec<CustomGuideline>,
pub compliance_requirements: Vec<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StyleAnalysisResult {
pub overall_score: f64,
pub check_results: Vec<StyleCheckResult>,
pub consistency_score: f64,
pub readability_score: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AutoFixType {
TextReplacement,
GateSubstitution,
Restructuring,
ParameterAdjustment,
FormatCorrection,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum StyleStrictness {
Lenient,
Moderate,
Strict,
Pedantic,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PatternMatcher {
pub gate_sequence: Vec<String>,
pub connectivity: ConnectivityPattern,
pub parameter_constraints: Vec<ParameterConstraint>,
pub flexibility: PatternFlexibility,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceMetrics {
pub gate_count: usize,
pub circuit_depth: usize,
pub execution_time: Duration,
pub memory_usage: usize,
pub error_rate: f64,
pub quantum_volume: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum SafetyLevel {
Safe,
ReviewRecommended,
ManualReviewRequired,
Unsafe,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PatternPerformanceProfile {
pub execution_time: Duration,
pub memory_requirement: usize,
pub error_susceptibility: f64,
pub optimization_potential: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimizationSuggestion {
pub suggestion_type: OptimizationType,
pub description: String,
pub location: CircuitLocation,
pub expected_improvement: OptimizationImprovement,
pub difficulty: Difficulty,
pub confidence: f64,
pub auto_applicable: bool,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum QuantumPattern<const N: usize> {
BellStatePreparation { confidence_threshold: f64 },
QuantumFourierTransform {
min_qubits: usize,
max_qubits: usize,
},
GroverDiffusion { target_qubits: Vec<usize> },
PhaseKickback {
control_qubits: Vec<usize>,
target_qubits: Vec<usize>,
},
ErrorCorrectionCode {
code_type: String,
logical_qubits: usize,
},
VqePattern {
ansatz_depth: usize,
parameter_count: usize,
},
QaoaPattern { layers: usize, problem_size: usize },
QuantumTeleportation {
input_qubit: usize,
epr_qubits: (usize, usize),
},
SuperdenseCoding { shared_qubits: (usize, usize) },
Custom {
name: String,
description: String,
pattern_matcher: PatternMatcher,
},
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ComplexityMetrics {
pub overall_complexity: f64,
pub metric_scores: HashMap<String, f64>,
pub classification: ComplexityClassification,
pub scaling_behavior: ScalingBehavior,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum SimplificationType {
Algorithm,
GateSequence,
Decomposition,
Structure,
Parameter,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BestPracticeResult {
pub practice_name: String,
pub compliant: bool,
pub compliance_score: f64,
pub violations: Vec<BestPracticeViolation>,
pub recommendations: Vec<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LintingStatistics {
pub total_time: Duration,
pub issues_by_severity: HashMap<Severity, usize>,
pub issues_by_type: HashMap<IssueType, usize>,
pub patterns_detected: usize,
pub antipatterns_detected: usize,
pub auto_fixes_available: usize,
pub lines_analyzed: usize,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LintingMetadata {
pub timestamp: SystemTime,
pub linter_version: String,
pub config: LinterConfig,
pub scirs2_enabled: bool,
pub analysis_scope: AnalysisScope,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum QuantumAntiPattern<const N: usize> {
RedundantGates {
gate_types: Vec<String>,
max_distance: usize,
},
InefficientDecomposition {
target_gates: Vec<String>,
efficiency_threshold: f64,
},
UnnecessaryEntanglement { threshold: f64 },
DeepCircuit {
depth_threshold: usize,
optimization_potential: f64,
},
WideCircuit {
width_threshold: usize,
parallelization_potential: f64,
},
EarlyMeasurement { computation_continues_after: bool },
RepeatedSubcircuits {
min_repetitions: usize,
min_subcircuit_size: usize,
},
PoorGateScheduling { idle_time_threshold: f64 },
UnnecessaryResets { optimization_potential: f64 },
Overcomplicated { simplification_threshold: f64 },
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OptimizationRule {
GateCancellation {
gate_pairs: Vec<(String, String)>,
distance_threshold: usize,
},
GateMerging {
mergeable_gates: Vec<String>,
efficiency_gain: f64,
},
Parallelization {
min_parallel_gates: usize,
efficiency_threshold: f64,
},
DepthReduction {
target_reduction: f64,
complexity_increase_limit: f64,
},
GateCountReduction {
target_reduction: f64,
accuracy_threshold: f64,
},
EntanglementOptimization { efficiency_threshold: f64 },
}
#[derive(Debug, Clone, PartialEq, Eq, Hash, Serialize, Deserialize)]
pub enum IssueType {
Pattern,
AntiPattern,
Style,
Optimization,
Complexity,
BestPractice,
Correctness,
Performance,
Maintainability,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimizationImprovement {
pub gate_count_reduction: i32,
pub depth_reduction: i32,
pub execution_time_improvement: f64,
pub memory_improvement: f64,
pub error_rate_improvement: f64,
}
pub struct BestPracticesChecker<const N: usize> {
rules: Vec<BestPracticeRule>,
results: HashMap<String, BestPracticeResult>,
guidelines: PracticeGuidelines,
}
impl<const N: usize> BestPracticesChecker<N> {
#[must_use]
pub fn new() -> Self {
Self {
rules: Vec::new(),
results: HashMap::new(),
guidelines: PracticeGuidelines {
industry_standards: Vec::new(),
custom_guidelines: Vec::new(),
compliance_requirements: Vec::new(),
},
}
}
pub fn check_all_practices(
&self,
circuit: &Circuit<N>,
config: &LinterConfig,
) -> QuantRS2Result<(Vec<LintIssue>, BestPracticesCompliance)> {
let issues = Vec::new();
let compliance = BestPracticesCompliance {
overall_score: 0.9,
category_scores: HashMap::new(),
compliance_level: ComplianceLevel::Good,
improvement_areas: Vec::new(),
};
Ok((issues, compliance))
}
}
#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub enum Severity {
Info,
Minor,
Warning,
Error,
Critical,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceImpact {
pub execution_time_impact: f64,
pub memory_impact: f64,
pub gate_count_impact: i32,
pub depth_impact: i32,
pub overall_impact: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum MeasurementPlacementStyle {
AtEnd,
WhenNeeded,
Grouped,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StyleConfig {
pub enabled_rules: Vec<String>,
pub custom_settings: HashMap<String, String>,
pub strictness: StyleStrictness,
pub suggest_auto_format: bool,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AutoFix {
pub fix_type: AutoFixType,
pub target_issue: String,
pub description: String,
pub implementation: String,
pub safety: SafetyLevel,
pub confidence: f64,
pub preview_available: bool,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LintingResult {
pub quality_score: f64,
pub issues: Vec<LintIssue>,
pub pattern_analysis: PatternAnalysisResult,
pub style_analysis: StyleAnalysisResult,
pub optimization_suggestions: Vec<OptimizationSuggestion>,
pub complexity_metrics: ComplexityMetrics,
pub best_practices_compliance: BestPracticesCompliance,
pub auto_fixes: Vec<AutoFix>,
pub statistics: LintingStatistics,
pub metadata: LintingMetadata,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ConnectivityPattern {
Linear,
AllToAll,
Ring,
Grid { rows: usize, cols: usize },
Custom { adjacency_matrix: Vec<Vec<bool>> },
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum TrendDirection {
Increasing,
Decreasing,
Stable,
Oscillating,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BestPracticesCompliance {
pub overall_score: f64,
pub category_scores: HashMap<String, f64>,
pub compliance_level: ComplianceLevel,
pub improvement_areas: Vec<String>,
}
pub struct OptimizationAnalyzer<const N: usize> {
rules: Vec<OptimizationRule>,
results: HashMap<String, OptimizationAnalysisResult>,
analyzer: SciRS2CircuitAnalyzer,
}
impl<const N: usize> OptimizationAnalyzer<N> {
#[must_use]
pub fn new() -> Self {
Self {
rules: Vec::new(),
results: HashMap::new(),
analyzer: SciRS2CircuitAnalyzer::new(),
}
}
pub const fn analyze_optimizations(
&self,
circuit: &Circuit<N>,
config: &LinterConfig,
) -> QuantRS2Result<Vec<OptimizationSuggestion>> {
Ok(Vec::new())
}
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OptimizationType {
GateElimination,
GateReordering,
GateSubstitution,
Parallelization,
DepthReduction,
MemoryOptimization,
ErrorReduction,
}
pub struct QuantumLinter<const N: usize> {
circuit: Circuit<N>,
pub config: LinterConfig,
analyzer: SciRS2CircuitAnalyzer,
pattern_detector: Arc<RwLock<PatternDetector<N>>>,
antipattern_detector: Arc<RwLock<AntiPatternDetector<N>>>,
style_checker: Arc<RwLock<StyleChecker<N>>>,
optimization_analyzer: Arc<RwLock<OptimizationAnalyzer<N>>>,
complexity_analyzer: Arc<RwLock<ComplexityAnalyzer<N>>>,
best_practices_checker: Arc<RwLock<BestPracticesChecker<N>>>,
}
impl<const N: usize> QuantumLinter<N> {
#[must_use]
pub fn new(circuit: Circuit<N>) -> Self {
Self {
circuit,
config: LinterConfig::default(),
analyzer: SciRS2CircuitAnalyzer::new(),
pattern_detector: Arc::new(RwLock::new(PatternDetector::new())),
antipattern_detector: Arc::new(RwLock::new(AntiPatternDetector::new())),
style_checker: Arc::new(RwLock::new(StyleChecker::new())),
optimization_analyzer: Arc::new(RwLock::new(OptimizationAnalyzer::new())),
complexity_analyzer: Arc::new(RwLock::new(ComplexityAnalyzer::new())),
best_practices_checker: Arc::new(RwLock::new(BestPracticesChecker::new())),
}
}
#[must_use]
pub fn with_config(circuit: Circuit<N>, config: LinterConfig) -> Self {
Self {
circuit,
config,
analyzer: SciRS2CircuitAnalyzer::new(),
pattern_detector: Arc::new(RwLock::new(PatternDetector::new())),
antipattern_detector: Arc::new(RwLock::new(AntiPatternDetector::new())),
style_checker: Arc::new(RwLock::new(StyleChecker::new())),
optimization_analyzer: Arc::new(RwLock::new(OptimizationAnalyzer::new())),
complexity_analyzer: Arc::new(RwLock::new(ComplexityAnalyzer::new())),
best_practices_checker: Arc::new(RwLock::new(BestPracticesChecker::new())),
}
}
pub fn lint_circuit(&mut self) -> QuantRS2Result<LintingResult> {
let start_time = Instant::now();
let mut issues = Vec::new();
let pattern_analysis = if self.config.enable_pattern_detection {
self.detect_patterns()?
} else {
PatternAnalysisResult {
detected_patterns: Vec::new(),
pattern_interactions: Vec::new(),
pattern_score: 1.0,
pattern_diversity: 0.0,
}
};
if self.config.enable_antipattern_detection {
let antipattern_issues = self.detect_antipatterns()?;
issues.extend(antipattern_issues);
}
let style_analysis = if self.config.enable_style_checking {
let style_issues = self.check_style()?;
issues.extend(style_issues.0);
style_issues.1
} else {
StyleAnalysisResult {
overall_score: 1.0,
check_results: Vec::new(),
consistency_score: 1.0,
readability_score: 1.0,
}
};
let optimization_suggestions = if self.config.enable_optimization_analysis {
self.analyze_optimizations()?
} else {
Vec::new()
};
let complexity_metrics = if self.config.enable_complexity_analysis {
self.analyze_complexity()?
} else {
ComplexityMetrics {
overall_complexity: 0.0,
metric_scores: HashMap::new(),
classification: ComplexityClassification::Low,
scaling_behavior: ScalingBehavior {
time_complexity: "O(1)".to_string(),
space_complexity: "O(1)".to_string(),
scaling_exponent: 1.0,
scaling_confidence: 1.0,
},
}
};
let best_practices_compliance = if self.config.enable_best_practices {
let bp_issues = self.check_best_practices()?;
issues.extend(bp_issues.0);
bp_issues.1
} else {
BestPracticesCompliance {
overall_score: 1.0,
category_scores: HashMap::new(),
compliance_level: ComplianceLevel::Excellent,
improvement_areas: Vec::new(),
}
};
issues.retain(|issue| issue.severity >= self.config.severity_threshold);
let auto_fixes = if self.config.enable_auto_fix {
self.generate_auto_fixes(&issues)?
} else {
Vec::new()
};
let quality_score = self.calculate_quality_score(
&issues,
&pattern_analysis,
&style_analysis,
&complexity_metrics,
&best_practices_compliance,
);
let statistics = self.generate_statistics(&issues, &auto_fixes, start_time.elapsed());
Ok(LintingResult {
quality_score,
issues,
pattern_analysis,
style_analysis,
optimization_suggestions,
complexity_metrics,
best_practices_compliance,
auto_fixes,
statistics,
metadata: LintingMetadata {
timestamp: SystemTime::now(),
linter_version: "0.1.0".to_string(),
config: self.config.clone(),
scirs2_enabled: self.config.enable_scirs2_analysis,
analysis_scope: AnalysisScope {
total_gates: self.circuit.num_gates(),
qubits_analyzed: (0..N).collect(),
depth_analyzed: self.circuit.calculate_depth(),
coverage: 1.0,
},
},
})
}
fn detect_patterns(&self) -> QuantRS2Result<PatternAnalysisResult> {
let detector = self.pattern_detector.read().map_err(|_| {
QuantRS2Error::InvalidOperation("Failed to acquire pattern detector lock".to_string())
})?;
detector.detect_all_patterns(&self.circuit, &self.config)
}
fn detect_antipatterns(&self) -> QuantRS2Result<Vec<LintIssue>> {
let detector = self.antipattern_detector.read().map_err(|_| {
QuantRS2Error::InvalidOperation(
"Failed to acquire antipattern detector lock".to_string(),
)
})?;
detector.detect_all_antipatterns(&self.circuit, &self.config)
}
fn check_style(&self) -> QuantRS2Result<(Vec<LintIssue>, StyleAnalysisResult)> {
let checker = self.style_checker.read().map_err(|_| {
QuantRS2Error::InvalidOperation("Failed to acquire style checker lock".to_string())
})?;
checker.check_all_styles(&self.circuit, &self.config)
}
fn analyze_optimizations(&self) -> QuantRS2Result<Vec<OptimizationSuggestion>> {
let analyzer = self.optimization_analyzer.read().map_err(|_| {
QuantRS2Error::InvalidOperation(
"Failed to acquire optimization analyzer lock".to_string(),
)
})?;
analyzer.analyze_optimizations(&self.circuit, &self.config)
}
fn analyze_complexity(&self) -> QuantRS2Result<ComplexityMetrics> {
let analyzer = self.complexity_analyzer.read().map_err(|_| {
QuantRS2Error::InvalidOperation(
"Failed to acquire complexity analyzer lock".to_string(),
)
})?;
analyzer.analyze_complexity(&self.circuit, &self.config)
}
fn check_best_practices(&self) -> QuantRS2Result<(Vec<LintIssue>, BestPracticesCompliance)> {
let checker = self.best_practices_checker.read().map_err(|_| {
QuantRS2Error::InvalidOperation(
"Failed to acquire best practices checker lock".to_string(),
)
})?;
checker.check_all_practices(&self.circuit, &self.config)
}
fn generate_auto_fixes(&self, issues: &[LintIssue]) -> QuantRS2Result<Vec<AutoFix>> {
let mut auto_fixes = Vec::new();
for issue in issues {
if issue.auto_fixable {
let auto_fix = self.create_auto_fix(issue)?;
auto_fixes.push(auto_fix);
}
}
Ok(auto_fixes)
}
fn create_auto_fix(&self, issue: &LintIssue) -> QuantRS2Result<AutoFix> {
Ok(AutoFix {
fix_type: AutoFixType::TextReplacement,
target_issue: issue.rule_id.clone(),
description: format!("Auto-fix for {}", issue.title),
implementation: issue
.suggested_fix
.clone()
.unwrap_or_else(|| "No implementation".to_string()),
safety: SafetyLevel::ReviewRecommended,
confidence: 0.8,
preview_available: true,
})
}
fn calculate_quality_score(
&self,
issues: &[LintIssue],
pattern_analysis: &PatternAnalysisResult,
style_analysis: &StyleAnalysisResult,
complexity_metrics: &ComplexityMetrics,
best_practices: &BestPracticesCompliance,
) -> f64 {
let issue_score = 1.0 - (issues.len() as f64 * 0.1).min(0.5);
let pattern_score = pattern_analysis.pattern_score;
let style_score = style_analysis.overall_score;
let complexity_score = 1.0 - complexity_metrics.overall_complexity.min(1.0);
let practices_score = best_practices.overall_score;
(issue_score + pattern_score + style_score + complexity_score + practices_score) / 5.0
}
fn generate_statistics(
&self,
issues: &[LintIssue],
auto_fixes: &[AutoFix],
total_time: Duration,
) -> LintingStatistics {
let mut issues_by_severity = HashMap::new();
let mut issues_by_type = HashMap::new();
for issue in issues {
*issues_by_severity
.entry(issue.severity.clone())
.or_insert(0) += 1;
*issues_by_type.entry(issue.issue_type.clone()).or_insert(0) += 1;
}
LintingStatistics {
total_time,
issues_by_severity,
issues_by_type,
patterns_detected: 0,
antipatterns_detected: issues
.iter()
.filter(|i| i.issue_type == IssueType::AntiPattern)
.count(),
auto_fixes_available: auto_fixes.len(),
lines_analyzed: self.circuit.num_gates(),
}
}
}
pub struct AntiPatternDetector<const N: usize> {
antipatterns: Vec<QuantumAntiPattern<N>>,
detection_results: HashMap<String, AntiPatternDetectionResult>,
analyzer: SciRS2CircuitAnalyzer,
}
impl<const N: usize> AntiPatternDetector<N> {
#[must_use]
pub fn new() -> Self {
Self {
antipatterns: Vec::new(),
detection_results: HashMap::new(),
analyzer: SciRS2CircuitAnalyzer::new(),
}
}
pub const fn detect_all_antipatterns(
&self,
circuit: &Circuit<N>,
config: &LinterConfig,
) -> QuantRS2Result<Vec<LintIssue>> {
Ok(Vec::new())
}
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum NamingConvention {
CamelCase,
SnakeCase,
KebabCase,
UpperCase,
Custom { pattern: String },
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PatternInteraction {
pub pattern1: String,
pub pattern2: String,
pub interaction_type: InteractionType,
pub strength: f64,
pub performance_impact: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum GateGroupingStyle {
ByType,
ByQubit,
ByFunctionality,
None,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum BarrierUsageStyle {
Minimal,
Liberal,
FunctionalOnly,
None,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ComplexityMetric {
Cyclomatic,
Entanglement,
Information,
Computational,
Spatial,
Temporal,
}
pub struct ComplexityAnalyzer<const N: usize> {
metrics: Vec<ComplexityMetric>,
results: HashMap<String, ComplexityAnalysisResult>,
analyzer: SciRS2CircuitAnalyzer,
}
impl<const N: usize> ComplexityAnalyzer<N> {
#[must_use]
pub fn new() -> Self {
Self {
metrics: Vec::new(),
results: HashMap::new(),
analyzer: SciRS2CircuitAnalyzer::new(),
}
}
pub fn analyze_complexity(
&self,
circuit: &Circuit<N>,
config: &LinterConfig,
) -> QuantRS2Result<ComplexityMetrics> {
Ok(ComplexityMetrics {
overall_complexity: 0.5,
metric_scores: HashMap::new(),
classification: ComplexityClassification::Medium,
scaling_behavior: ScalingBehavior {
time_complexity: "O(n)".to_string(),
space_complexity: "O(n)".to_string(),
scaling_exponent: 1.0,
scaling_confidence: 0.9,
},
})
}
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AnalysisScope {
pub total_gates: usize,
pub qubits_analyzed: Vec<usize>,
pub depth_analyzed: usize,
pub coverage: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LinterConfig {
pub enable_pattern_detection: bool,
pub enable_antipattern_detection: bool,
pub enable_style_checking: bool,
pub enable_optimization_analysis: bool,
pub enable_complexity_analysis: bool,
pub enable_best_practices: bool,
pub severity_threshold: Severity,
pub max_analysis_depth: usize,
pub enable_scirs2_analysis: bool,
pub pattern_confidence_threshold: f64,
pub enable_auto_fix: bool,
pub performance_threshold: f64,
pub style_strictness: StyleStrictness,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StyleCheckResult {
pub rule_name: String,
pub compliant: bool,
pub violations: Vec<StyleViolation>,
pub score: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BestPracticeViolation {
pub violation_type: String,
pub severity: Severity,
pub description: String,
pub location: CircuitLocation,
pub remediation_steps: Vec<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ComplexityTrend {
pub metric: String,
pub direction: TrendDirection,
pub strength: f64,
pub confidence: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PatternDetectionResult {
pub pattern_name: String,
pub confidence: f64,
pub locations: Vec<CircuitLocation>,
pub statistics: PatternStatistics,
pub performance_profile: PatternPerformanceProfile,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum InteractionType {
Synergistic,
Conflicting,
Independent,
Subsumption,
Equivalent,
}