quantrs2_core/

scirs2_quantum_formatter_enhanced.rs

//! Advanced Quantum Code Formatter with Enhanced SciRS2 Beautification
//!
//! This module provides state-of-the-art quantum code formatting with AI-powered
//! beautification, semantic-aware formatting, visual circuit representations,
//! and comprehensive multi-language export capabilities powered by SciRS2.

use crate::error::QuantRS2Error;
use crate::gate_translation::GateType;
use crate::scirs2_quantum_formatter::{
    CommentStyle, FormattingConfig, IndentationStyle, OutputFormat, QuantumGate,
};
use scirs2_core::Complex64;
use std::fmt::Write;
// use scirs2_core::parallel_ops::*;
use crate::parallel_ops_stubs::*;
// use scirs2_core::memory::BufferPool;
use crate::buffer_pool::BufferPool;
use crate::platform::PlatformCapabilities;
use scirs2_core::ndarray::{Array1, Array2};
use serde::{Deserialize, Serialize};
use std::collections::{BTreeMap, HashMap, HashSet, VecDeque};
use std::fmt;
use std::sync::{Arc, Mutex};

/// Enhanced formatting configuration with AI-powered features
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EnhancedFormattingConfig {
    /// Base formatting configuration
    pub base_config: FormattingConfig,

    /// Enable AI-powered beautification
    pub enable_ai_beautification: bool,

    /// Enable semantic-aware formatting
    pub enable_semantic_formatting: bool,

    /// Enable visual circuit representation
    pub enable_visual_representation: bool,

    /// Enable interactive formatting suggestions
    pub enable_interactive_suggestions: bool,

    /// Enable real-time incremental formatting
    pub enable_incremental_formatting: bool,

    /// Enable hardware-specific optimizations
    pub enable_hardware_optimizations: bool,

    /// Enable quantum algorithm templates
    pub enable_algorithm_templates: bool,

    /// Enable code folding regions
    pub enable_code_folding: bool,

    /// Enable syntax highlighting metadata
    pub enable_syntax_highlighting: bool,

    /// Visual representation formats
    pub visual_formats: Vec<VisualFormat>,

    /// Target hardware backends
    pub target_backends: Vec<QuantumBackend>,

    /// Maximum visual diagram width
    pub max_diagram_width: usize,

    /// Enable Unicode symbols for gates
    pub use_unicode_symbols: bool,

    /// Custom formatting rules
    pub custom_rules: Vec<CustomFormattingRule>,

    /// Export formats
    pub export_formats: Vec<ExportFormat>,
}

impl Default for EnhancedFormattingConfig {
    fn default() -> Self {
        Self {
            base_config: FormattingConfig::default(),
            enable_ai_beautification: true,
            enable_semantic_formatting: true,
            enable_visual_representation: true,
            enable_interactive_suggestions: true,
            enable_incremental_formatting: true,
            enable_hardware_optimizations: true,
            enable_algorithm_templates: true,
            enable_code_folding: true,
            enable_syntax_highlighting: true,
            visual_formats: vec![
                VisualFormat::ASCII,
                VisualFormat::Unicode,
                VisualFormat::LaTeX,
            ],
            target_backends: vec![
                QuantumBackend::IBMQ,
                QuantumBackend::IonQ,
                QuantumBackend::Simulator,
            ],
            max_diagram_width: 120,
            use_unicode_symbols: true,
            custom_rules: Vec::new(),
            export_formats: vec![ExportFormat::JSON, ExportFormat::YAML, ExportFormat::TOML],
        }
    }
}

/// Visual representation formats
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash, Serialize, Deserialize)]
pub enum VisualFormat {
    ASCII,
    Unicode,
    LaTeX,
    SVG,
    HTML,
    Markdown,
    GraphViz,
}

/// Quantum backend types
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub enum QuantumBackend {
    IBMQ,
    IonQ,
    Rigetti,
    Honeywell,
    AzureQuantum,
    AmazonBraket,
    Simulator,
}

/// Export format types
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub enum ExportFormat {
    JSON,
    YAML,
    TOML,
    XML,
    Protocol,
}

/// Custom formatting rule
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CustomFormattingRule {
    pub name: String,
    pub pattern: String,
    pub replacement: String,
    pub priority: i32,
    pub enabled: bool,
}

/// Enhanced quantum code formatter
pub struct EnhancedQuantumFormatter {
    config: EnhancedFormattingConfig,
    semantic_analyzer: SemanticAnalyzer,
    ai_beautifier: AIBeautifier,
    visual_renderer: VisualRenderer,
    template_engine: TemplateEngine,
    hardware_optimizer: HardwareOptimizer,
    incremental_formatter: IncrementalFormatter,
    suggestion_engine: SuggestionEngine,
    export_engine: ExportEngine,
    syntax_highlighter: SyntaxHighlighter,
    platform_capabilities: PlatformCapabilities,
}

impl EnhancedQuantumFormatter {
    /// Create a new enhanced quantum formatter
    pub fn new() -> Self {
        let config = EnhancedFormattingConfig::default();
        Self::with_config(config)
    }

    /// Create formatter with custom configuration
    pub fn with_config(config: EnhancedFormattingConfig) -> Self {
        let platform_capabilities = PlatformCapabilities::detect();

        Self {
            config,
            semantic_analyzer: SemanticAnalyzer::new(),
            ai_beautifier: AIBeautifier::new(),
            visual_renderer: VisualRenderer::new(),
            template_engine: TemplateEngine::new(),
            hardware_optimizer: HardwareOptimizer::new(),
            incremental_formatter: IncrementalFormatter::new(),
            suggestion_engine: SuggestionEngine::new(),
            export_engine: ExportEngine::new(),
            syntax_highlighter: SyntaxHighlighter::new(),
            platform_capabilities,
        }
    }

    /// Format quantum circuit with enhanced features
    pub fn format_circuit_enhanced(
        &self,
        circuit: &[QuantumGate],
        num_qubits: usize,
        options: FormattingOptions,
    ) -> Result<EnhancedFormattedCode, QuantRS2Error> {
        let start_time = std::time::Instant::now();

        // Semantic analysis
        let semantic_info = if self.config.enable_semantic_formatting {
            Some(
                self.semantic_analyzer
                    .analyze_circuit(circuit, num_qubits)?,
            )
        } else {
            None
        };

        // AI beautification
        let beautification_suggestions = if self.config.enable_ai_beautification {
            Some(
                self.ai_beautifier
                    .generate_beautification_suggestions(circuit, &semantic_info)?,
            )
        } else {
            None
        };

        // Hardware-specific optimizations
        let hardware_formatting = if self.config.enable_hardware_optimizations {
            Some(
                self.hardware_optimizer
                    .optimize_for_hardware(circuit, &options.target_hardware)?,
            )
        } else {
            None
        };

        // Generate multiple format outputs
        let mut formatted_outputs = HashMap::new();

        // Text formats
        formatted_outputs.insert(
            OutputFormat::Text,
            self.format_as_text(circuit, &semantic_info, &beautification_suggestions)?,
        );

        // Code formats
        if options.include_code_formats {
            formatted_outputs.insert(
                OutputFormat::Rust,
                self.format_as_rust(circuit, &semantic_info)?,
            );
            formatted_outputs.insert(
                OutputFormat::Python,
                self.format_as_python(circuit, &semantic_info)?,
            );
            formatted_outputs.insert(OutputFormat::QASM, self.format_as_qasm(circuit)?);
        }

        // Visual representations
        let visual_representations = if self.config.enable_visual_representation {
            self.generate_visual_representations(circuit, num_qubits)?
        } else {
            HashMap::new()
        };

        // Generate suggestions
        let formatting_suggestions = if self.config.enable_interactive_suggestions {
            self.suggestion_engine
                .generate_suggestions(circuit, &semantic_info)?
        } else {
            Vec::new()
        };

        // Apply templates if requested
        let templated_code = if options.apply_templates {
            Some(self.apply_algorithm_templates(circuit, &semantic_info)?)
        } else {
            None
        };

        // Syntax highlighting metadata
        let syntax_metadata = if self.config.enable_syntax_highlighting {
            Some(self.syntax_highlighter.generate_metadata(circuit)?)
        } else {
            None
        };

        // Calculate quality metrics
        let quality_metrics = self.calculate_quality_metrics(circuit, &formatted_outputs);

        Ok(EnhancedFormattedCode {
            formatted_outputs,
            visual_representations,
            semantic_info,
            beautification_suggestions,
            hardware_formatting,
            formatting_suggestions,
            templated_code,
            syntax_metadata,
            quality_metrics,
            formatting_time: start_time.elapsed(),
            platform_optimizations: self.identify_platform_optimizations(),
        })
    }

    /// Format circuit as text with enhanced features
    fn format_as_text(
        &self,
        circuit: &[QuantumGate],
        semantic_info: &Option<SemanticInfo>,
        beautification: &Option<BeautificationSuggestions>,
    ) -> Result<String, QuantRS2Error> {
        let mut output = String::new();

        // Header with semantic information
        if let Some(sem_info) = semantic_info {
            let _ = writeln!(output, "// Quantum Algorithm: {}", sem_info.algorithm_type);
            let _ = writeln!(output, "// Complexity: {}", sem_info.complexity_class);
            let _ = writeln!(output, "// Purpose: {}\n", sem_info.purpose);
        }

        // Apply AI beautification suggestions
        if let Some(beauty) = beautification {
            for suggestion in &beauty.layout_improvements {
                let _ = writeln!(output, "// Layout: {suggestion}");
            }
            output.push('\n');
        }

        // Circuit sections with folding regions
        if self.config.enable_code_folding {
            output.push_str("// region: Initialization\n");
        }

        // Format gates with semantic grouping
        let gate_groups = self.group_gates_semantically(circuit, semantic_info);

        for (group_name, gates) in gate_groups {
            if self.config.enable_code_folding {
                let _ = writeln!(output, "\n// region: {group_name}");
            }

            let _ = writeln!(output, "// {group_name}");

            for gate in gates {
                let formatted_gate = self.format_gate_enhanced(gate)?;
                let _ = writeln!(output, "{formatted_gate}");
            }

            if self.config.enable_code_folding {
                output.push_str("// endregion\n");
            }
        }

        Ok(output)
    }

    /// Format single gate with enhanced features
    fn format_gate_enhanced(&self, gate: &QuantumGate) -> Result<String, QuantRS2Error> {
        let mut formatted = String::new();

        // Use Unicode symbols if enabled
        let gate_symbol = if self.config.use_unicode_symbols {
            match gate.gate_type() {
                GateType::X => "X̂",
                GateType::Y => "Ŷ",
                GateType::Z => "Ẑ",
                GateType::H => "Ĥ",
                GateType::CNOT => "⊕",
                GateType::T => "T̂",
                GateType::S => "Ŝ",
                _ => "G",
            }
        } else {
            match gate.gate_type() {
                GateType::X => "X",
                GateType::Y => "Y",
                GateType::Z => "Z",
                GateType::H => "H",
                GateType::CNOT => "CX",
                GateType::T => "T",
                GateType::S => "S",
                _ => "G",
            }
        };

        // Format with enhanced information
        formatted.push_str(gate_symbol);

        // Add qubit information
        if let Some(controls) = gate.control_qubits() {
            let _ = write!(formatted, "[c:{controls:?}]");
        }
        let _ = write!(formatted, "[t:{:?}]", gate.target_qubits());

        // Add optimization hints
        if self.is_simd_optimizable(gate) {
            formatted.push_str(" // SIMD");
        }

        Ok(formatted)
    }

    /// Group gates semantically
    fn group_gates_semantically<'a>(
        &self,
        circuit: &'a [QuantumGate],
        semantic_info: &Option<SemanticInfo>,
    ) -> Vec<(String, Vec<&'a QuantumGate>)> {
        let mut groups = Vec::new();

        if let Some(sem_info) = semantic_info {
            // Use semantic phases
            for phase in &sem_info.algorithm_phases {
                let phase_gates: Vec<&QuantumGate> = circuit
                    .iter()
                    .skip(phase.start_index)
                    .take(phase.end_index - phase.start_index)
                    .collect();

                if !phase_gates.is_empty() {
                    groups.push((phase.name.clone(), phase_gates));
                }
            }
        } else {
            // Default grouping
            groups.push(("Circuit".to_string(), circuit.iter().collect()));
        }

        groups
    }

    /// Generate visual representations
    fn generate_visual_representations(
        &self,
        circuit: &[QuantumGate],
        num_qubits: usize,
    ) -> Result<HashMap<VisualFormat, String>, QuantRS2Error> {
        let mut representations = HashMap::new();

        for format in &self.config.visual_formats {
            let visual = match format {
                VisualFormat::ASCII => self.visual_renderer.render_ascii(circuit, num_qubits)?,
                VisualFormat::Unicode => {
                    self.visual_renderer.render_unicode(circuit, num_qubits)?
                }
                VisualFormat::LaTeX => self.visual_renderer.render_latex(circuit, num_qubits)?,
                VisualFormat::SVG => self.visual_renderer.render_svg(circuit, num_qubits)?,
                VisualFormat::HTML => self.visual_renderer.render_html(circuit, num_qubits)?,
                VisualFormat::Markdown => {
                    self.visual_renderer.render_markdown(circuit, num_qubits)?
                }
                VisualFormat::GraphViz => {
                    self.visual_renderer.render_graphviz(circuit, num_qubits)?
                }
            };
            representations.insert(*format, visual);
        }

        Ok(representations)
    }

    /// Format as Rust code with enhancements
    fn format_as_rust(
        &self,
        circuit: &[QuantumGate],
        semantic_info: &Option<SemanticInfo>,
    ) -> Result<String, QuantRS2Error> {
        let mut output = String::new();

        output.push_str("//! Quantum circuit implementation\n");
        output.push_str("//! Auto-generated by SciRS2 Enhanced Formatter\n\n");

        output.push_str("use quantrs2_core::prelude::*;\n");
        output.push_str(
            "// use scirs2_core::parallel_ops::*;
use crate::parallel_ops_stubs::*;\n\n",
        );

        // Add semantic documentation
        if let Some(sem_info) = semantic_info {
            let _ = writeln!(output, "/// {}", sem_info.purpose);
            let _ = writeln!(output, "/// Algorithm: {}", sem_info.algorithm_type);
            let _ = writeln!(output, "/// Complexity: {}", sem_info.complexity_class);
        }

        output.push_str("pub fn quantum_circuit(\n");
        output.push_str("    state: &mut QuantumState,\n");
        output.push_str("    params: &CircuitParams,\n");
        output.push_str(") -> QuantRS2Result<CircuitResult> {\n");

        // Add performance monitoring
        output.push_str("    let start = std::time::Instant::now();\n");
        output.push_str("    let mut gate_count = 0;\n\n");

        // Generate optimized gate implementations
        for gate in circuit {
            let rust_gate = self.generate_optimized_rust_gate(gate)?;
            let _ = writeln!(output, "    {rust_gate};");
            output.push_str("    gate_count += 1;\n");
        }

        output.push_str("\n    Ok(CircuitResult {\n");
        output.push_str("        execution_time: start.elapsed(),\n");
        output.push_str("        gate_count,\n");
        output.push_str("        final_state: state.clone(),\n");
        output.push_str("    })\n");
        output.push_str("}\n");

        Ok(output)
    }

    /// Generate optimized Rust gate implementation
    fn generate_optimized_rust_gate(&self, gate: &QuantumGate) -> Result<String, QuantRS2Error> {
        match gate.gate_type() {
            GateType::X => {
                if self.platform_capabilities.simd_available() {
                    Ok(format!("simd_x_gate(state, {})", gate.target_qubits()[0]))
                } else {
                    Ok(format!("state.apply_x({})", gate.target_qubits()[0]))
                }
            }
            GateType::H => {
                if self.platform_capabilities.simd_available() {
                    Ok(format!("simd_hadamard(state, {})", gate.target_qubits()[0]))
                } else {
                    Ok(format!("state.apply_h({})", gate.target_qubits()[0]))
                }
            }
            GateType::CNOT => Ok(format!(
                "state.apply_cnot({}, {})",
                gate.target_qubits()[0],
                gate.target_qubits()[1]
            )),
            _ => Ok(format!("state.apply_gate({gate:?})")),
        }
    }

    /// Format as Python code
    fn format_as_python(
        &self,
        circuit: &[QuantumGate],
        semantic_info: &Option<SemanticInfo>,
    ) -> Result<String, QuantRS2Error> {
        let mut output = String::new();

        output.push_str("#!/usr/bin/env python3\n");
        output.push_str("\"\"\"Quantum circuit implementation\n");
        output.push_str("Auto-generated by SciRS2 Enhanced Formatter\n");

        if let Some(sem_info) = semantic_info {
            let _ = writeln!(output, "\nAlgorithm: {}", sem_info.algorithm_type);
            let _ = writeln!(output, "Purpose: {}", sem_info.purpose);
        }

        output.push_str("\"\"\"\n\n");
        output.push_str("from quantrs2 import QuantumCircuit, QuantumState\n");
        output.push_str("import numpy as np\n");
        output.push_str("import time\n\n");

        output.push_str("def create_quantum_circuit(num_qubits: int) -> QuantumCircuit:\n");
        output.push_str("    \"\"\"Create optimized quantum circuit.\"\"\"\n");
        output.push_str("    qc = QuantumCircuit(num_qubits)\n");
        output.push_str("    \n");
        output.push_str("    # Circuit implementation\n");

        for gate in circuit {
            let python_gate = self.format_python_gate(gate)?;
            let _ = writeln!(output, "    {python_gate}");
        }

        output.push_str("    \n");
        output.push_str("    return qc\n\n");

        output.push_str("if __name__ == \"__main__\":\n");
        output.push_str("    # Example usage\n");
        output.push_str("    circuit = create_quantum_circuit(4)\n");
        output.push_str("    result = circuit.execute()\n");
        output.push_str("    print(f\"Result: {result}\")\n");

        Ok(output)
    }

    /// Format gate for Python
    fn format_python_gate(&self, gate: &QuantumGate) -> Result<String, QuantRS2Error> {
        Ok(match gate.gate_type() {
            GateType::X => format!("qc.x({})", gate.target_qubits()[0]),
            GateType::Y => format!("qc.y({})", gate.target_qubits()[0]),
            GateType::Z => format!("qc.z({})", gate.target_qubits()[0]),
            GateType::H => format!("qc.h({})", gate.target_qubits()[0]),
            GateType::CNOT => format!(
                "qc.cx({}, {})",
                gate.target_qubits()[0],
                gate.target_qubits()[1]
            ),
            GateType::T => format!("qc.t({})", gate.target_qubits()[0]),
            GateType::S => format!("qc.s({})", gate.target_qubits()[0]),
            GateType::Rx(angle) => format!("qc.rx({}, {})", angle, gate.target_qubits()[0]),
            GateType::Ry(angle) => format!("qc.ry({}, {})", angle, gate.target_qubits()[0]),
            GateType::Rz(angle) => format!("qc.rz({}, {})", angle, gate.target_qubits()[0]),
            _ => format!("# Unsupported gate: {:?}", gate.gate_type()),
        })
    }

    /// Format as QASM
    fn format_as_qasm(&self, circuit: &[QuantumGate]) -> Result<String, QuantRS2Error> {
        let mut output = String::new();

        output.push_str("// SciRS2 Enhanced QASM Output\n");
        output.push_str("OPENQASM 3.0;\n");
        output.push_str("include \"stdgates.inc\";\n\n");

        // Find required qubits
        let max_qubit = circuit
            .iter()
            .flat_map(|g| g.target_qubits().iter())
            .max()
            .copied()
            .unwrap_or(0);

        let _ = writeln!(output, "qubit[{}] q;", max_qubit + 1);
        let _ = writeln!(output, "bit[{}] c;\n", max_qubit + 1);

        // Gate implementations
        for (i, gate) in circuit.iter().enumerate() {
            if i > 0 && i % 10 == 0 {
                let _ = writeln!(output, "\n// Gates {}-{}", i, i + 9);
            }
            let _ = writeln!(output, "{};", self.format_qasm_gate(gate)?);
        }

        output.push_str("\n// Measurements\n");
        for i in 0..=max_qubit {
            let _ = writeln!(output, "c[{i}] = measure q[{i}];");
        }

        Ok(output)
    }

    /// Format gate for QASM
    fn format_qasm_gate(&self, gate: &QuantumGate) -> Result<String, QuantRS2Error> {
        Ok(match gate.gate_type() {
            GateType::X => format!("x q[{}]", gate.target_qubits()[0]),
            GateType::Y => format!("y q[{}]", gate.target_qubits()[0]),
            GateType::Z => format!("z q[{}]", gate.target_qubits()[0]),
            GateType::H => format!("h q[{}]", gate.target_qubits()[0]),
            GateType::CNOT => format!(
                "cx q[{}], q[{}]",
                gate.target_qubits()[0],
                gate.target_qubits()[1]
            ),
            GateType::T => format!("t q[{}]", gate.target_qubits()[0]),
            GateType::S => format!("s q[{}]", gate.target_qubits()[0]),
            GateType::Rx(angle) => format!("rx({}) q[{}]", angle, gate.target_qubits()[0]),
            GateType::Ry(angle) => format!("ry({}) q[{}]", angle, gate.target_qubits()[0]),
            GateType::Rz(angle) => format!("rz({}) q[{}]", angle, gate.target_qubits()[0]),
            _ => format!("// {:?}", gate.gate_type()),
        })
    }

    /// Apply algorithm templates
    fn apply_algorithm_templates(
        &self,
        circuit: &[QuantumGate],
        semantic_info: &Option<SemanticInfo>,
    ) -> Result<TemplatedCode, QuantRS2Error> {
        let template = if let Some(sem_info) = semantic_info {
            self.template_engine
                .get_template(&sem_info.algorithm_type)?
        } else {
            self.template_engine.get_default_template()?
        };

        Ok(TemplatedCode {
            template_name: template.name.clone(),
            filled_template: self.fill_template(&template, circuit)?,
            parameters: template.parameters.clone(),
        })
    }

    /// Fill template with circuit data
    fn fill_template(
        &self,
        template: &AlgorithmTemplate,
        circuit: &[QuantumGate],
    ) -> Result<String, QuantRS2Error> {
        let mut filled = template.content.clone();

        // Replace placeholders
        filled = filled.replace("{{GATE_COUNT}}", &circuit.len().to_string());
        filled = filled.replace(
            "{{CIRCUIT_DEPTH}}",
            &self.calculate_depth(circuit).to_string(),
        );

        // Add gate sequence
        let gate_sequence = circuit
            .iter()
            .filter_map(|g| self.format_gate_enhanced(g).ok())
            .collect::<Vec<_>>()
            .join("\n");
        filled = filled.replace("{{GATE_SEQUENCE}}", &gate_sequence);

        Ok(filled)
    }

    /// Calculate circuit depth
    const fn calculate_depth(&self, circuit: &[QuantumGate]) -> usize {
        // Simplified depth calculation
        circuit.len()
    }

    /// Check if gate is SIMD optimizable
    const fn is_simd_optimizable(&self, gate: &QuantumGate) -> bool {
        matches!(
            gate.gate_type(),
            GateType::X
                | GateType::Y
                | GateType::Z
                | GateType::H
                | GateType::Rx(_)
                | GateType::Ry(_)
                | GateType::Rz(_)
        )
    }

    /// Calculate quality metrics
    fn calculate_quality_metrics(
        &self,
        circuit: &[QuantumGate],
        outputs: &HashMap<OutputFormat, String>,
    ) -> QualityMetrics {
        let total_lines: usize = outputs.values().map(|output| output.lines().count()).sum();

        let total_chars: usize = outputs.values().map(|output| output.len()).sum();

        QualityMetrics {
            readability_score: self.calculate_readability_score(outputs),
            consistency_score: self.calculate_consistency_score(outputs),
            optimization_score: self.calculate_optimization_score(circuit),
            documentation_score: self.calculate_documentation_score(outputs),
            average_line_length: total_chars.checked_div(total_lines).unwrap_or(0),
            gate_density: circuit.len() as f64 / total_lines.max(1) as f64,
            comment_ratio: self.calculate_comment_ratio(outputs),
            simd_optimization_ratio: self.calculate_simd_ratio(circuit),
        }
    }

    /// Calculate readability score
    fn calculate_readability_score(&self, outputs: &HashMap<OutputFormat, String>) -> f64 {
        outputs
            .values()
            .map(|output| {
                let lines = output.lines().count() as f64;
                let comments = output.matches("//").count() as f64;
                let whitespace = output.matches('\n').count() as f64;

                ((comments / lines.max(1.0)).mul_add(0.3, whitespace / lines.max(1.0) * 0.2) + 0.5)
                    .min(1.0)
            })
            .sum::<f64>()
            / outputs.len().max(1) as f64
    }

    /// Calculate consistency score
    const fn calculate_consistency_score(&self, outputs: &HashMap<OutputFormat, String>) -> f64 {
        // Check naming consistency, indentation consistency, etc.
        0.85 // Placeholder
    }

    /// Calculate optimization score
    fn calculate_optimization_score(&self, circuit: &[QuantumGate]) -> f64 {
        let optimizable = circuit
            .iter()
            .filter(|g| self.is_simd_optimizable(g))
            .count();

        optimizable as f64 / circuit.len().max(1) as f64
    }

    /// Calculate documentation score
    fn calculate_documentation_score(&self, outputs: &HashMap<OutputFormat, String>) -> f64 {
        outputs
            .values()
            .map(|output| {
                let lines = output.lines().count() as f64;
                let doc_comments = output.matches("///").count() as f64;
                let regular_comments = output.matches("//").count() as f64;

                (doc_comments.mul_add(2.0, regular_comments) / lines.max(1.0)).min(1.0)
            })
            .sum::<f64>()
            / outputs.len().max(1) as f64
    }

    /// Calculate comment ratio
    fn calculate_comment_ratio(&self, outputs: &HashMap<OutputFormat, String>) -> f64 {
        let total_lines: usize = outputs.values().map(|output| output.lines().count()).sum();

        let comment_lines: usize = outputs
            .values()
            .map(|output| {
                output
                    .lines()
                    .filter(|line| line.trim().starts_with("//"))
                    .count()
            })
            .sum();

        comment_lines as f64 / total_lines.max(1) as f64
    }

    /// Calculate SIMD optimization ratio
    fn calculate_simd_ratio(&self, circuit: &[QuantumGate]) -> f64 {
        let simd_gates = circuit
            .iter()
            .filter(|g| self.is_simd_optimizable(g))
            .count();

        simd_gates as f64 / circuit.len().max(1) as f64
    }

    /// Identify platform-specific optimizations
    fn identify_platform_optimizations(&self) -> Vec<PlatformOptimization> {
        let mut optimizations = Vec::new();

        if self.platform_capabilities.simd_available() {
            optimizations.push(PlatformOptimization {
                optimization_type: "SIMD Vectorization".to_string(),
                description: "Use SciRS2 SIMD operations for gate implementations".to_string(),
                expected_speedup: 2.5,
            });
        }

        let cpu_count = num_cpus::get();
        if cpu_count > 1 {
            optimizations.push(PlatformOptimization {
                optimization_type: "Parallel Execution".to_string(),
                description: format!("Utilize {cpu_count} CPU cores for parallel gate execution"),
                expected_speedup: cpu_count as f64 * 0.7,
            });
        }

        optimizations
    }

    /// Format for incremental updates
    pub fn format_incremental(
        &mut self,
        change: CircuitChange,
        previous_format: &EnhancedFormattedCode,
    ) -> Result<IncrementalUpdate, QuantRS2Error> {
        self.incremental_formatter
            .apply_change(change, previous_format)
    }

    /// Get interactive suggestions
    pub fn get_interactive_suggestions(
        &self,
        circuit: &[QuantumGate],
        cursor_position: usize,
    ) -> Result<Vec<InteractiveSuggestion>, QuantRS2Error> {
        self.suggestion_engine
            .get_suggestions_at_position(circuit, cursor_position)
    }

    /// Export to various formats
    pub fn export_formatted_code(
        &self,
        formatted_code: &EnhancedFormattedCode,
        format: ExportFormat,
    ) -> Result<String, QuantRS2Error> {
        self.export_engine.export(formatted_code, format)
    }
}

/// Enhanced formatted code result
#[derive(Debug, Clone)]
pub struct EnhancedFormattedCode {
    pub formatted_outputs: HashMap<OutputFormat, String>,
    pub visual_representations: HashMap<VisualFormat, String>,
    pub semantic_info: Option<SemanticInfo>,
    pub beautification_suggestions: Option<BeautificationSuggestions>,
    pub hardware_formatting: Option<HardwareFormattingInfo>,
    pub formatting_suggestions: Vec<FormattingSuggestion>,
    pub templated_code: Option<TemplatedCode>,
    pub syntax_metadata: Option<SyntaxMetadata>,
    pub quality_metrics: QualityMetrics,
    pub formatting_time: std::time::Duration,
    pub platform_optimizations: Vec<PlatformOptimization>,
}

/// Formatting options
#[derive(Debug, Clone)]
pub struct FormattingOptions {
    pub target_hardware: QuantumBackend,
    pub include_code_formats: bool,
    pub apply_templates: bool,
    pub optimization_level: OptimizationLevel,
}

/// Optimization levels
#[derive(Debug, Clone, Copy)]
pub enum OptimizationLevel {
    None,
    Basic,
    Advanced,
    Maximum,
}

/// Semantic information about the circuit
#[derive(Debug, Clone)]
pub struct SemanticInfo {
    pub algorithm_type: String,
    pub complexity_class: String,
    pub purpose: String,
    pub algorithm_phases: Vec<AlgorithmPhase>,
    pub identified_patterns: Vec<QuantumPattern>,
}

/// Algorithm phase
#[derive(Debug, Clone)]
pub struct AlgorithmPhase {
    pub name: String,
    pub start_index: usize,
    pub end_index: usize,
    pub description: String,
}

/// Quantum pattern
#[derive(Debug, Clone)]
pub struct QuantumPattern {
    pub pattern_type: String,
    pub gates: Vec<usize>,
    pub description: String,
}

/// Beautification suggestions
#[derive(Debug, Clone)]
pub struct BeautificationSuggestions {
    pub layout_improvements: Vec<String>,
    pub naming_suggestions: Vec<String>,
    pub structure_improvements: Vec<String>,
    pub style_recommendations: Vec<String>,
}

/// Hardware-specific formatting information
#[derive(Debug, Clone)]
pub struct HardwareFormattingInfo {
    pub target_backend: QuantumBackend,
    pub native_gates: Vec<String>,
    pub connectivity_constraints: Vec<(usize, usize)>,
    pub optimization_hints: Vec<String>,
}

/// Formatting suggestion
#[derive(Debug, Clone)]
pub struct FormattingSuggestion {
    pub suggestion_type: SuggestionType,
    pub description: String,
    pub location: SuggestionLocation,
    pub priority: Priority,
    pub auto_applicable: bool,
}

/// Suggestion types
#[derive(Debug, Clone)]
pub enum SuggestionType {
    Layout,
    Performance,
    Readability,
    Consistency,
    Documentation,
}

/// Suggestion location
#[derive(Debug, Clone)]
pub enum SuggestionLocation {
    Line(usize),
    Range(usize, usize),
    Global,
}

/// Priority levels
#[derive(Debug, Clone, Copy)]
pub enum Priority {
    Low,
    Medium,
    High,
    Critical,
}

/// Templated code
#[derive(Debug, Clone)]
pub struct TemplatedCode {
    pub template_name: String,
    pub filled_template: String,
    pub parameters: HashMap<String, String>,
}

/// Syntax highlighting metadata
#[derive(Debug, Clone)]
pub struct SyntaxMetadata {
    pub tokens: Vec<SyntaxToken>,
    pub scopes: Vec<SyntaxScope>,
    pub color_scheme: ColorScheme,
}

/// Syntax token
#[derive(Debug, Clone)]
pub struct SyntaxToken {
    pub token_type: TokenType,
    pub start: usize,
    pub end: usize,
    pub text: String,
}

/// Token types
#[derive(Debug, Clone)]
pub enum TokenType {
    Keyword,
    Gate,
    Qubit,
    Parameter,
    Comment,
    String,
    Number,
}

/// Syntax scope
#[derive(Debug, Clone)]
pub struct SyntaxScope {
    pub scope_type: String,
    pub start: usize,
    pub end: usize,
}

/// Color scheme
#[derive(Debug, Clone)]
pub struct ColorScheme {
    pub name: String,
    pub colors: HashMap<TokenType, String>,
}

/// Quality metrics
#[derive(Debug, Clone)]
pub struct QualityMetrics {
    pub readability_score: f64,
    pub consistency_score: f64,
    pub optimization_score: f64,
    pub documentation_score: f64,
    pub average_line_length: usize,
    pub gate_density: f64,
    pub comment_ratio: f64,
    pub simd_optimization_ratio: f64,
}

/// Platform optimization
#[derive(Debug, Clone)]
pub struct PlatformOptimization {
    pub optimization_type: String,
    pub description: String,
    pub expected_speedup: f64,
}

/// Circuit change for incremental formatting
#[derive(Debug, Clone)]
pub struct CircuitChange {
    pub change_type: ChangeType,
    pub location: usize,
    pub new_gates: Vec<QuantumGate>,
}

/// Change types
#[derive(Debug, Clone)]
pub enum ChangeType {
    Insert,
    Delete,
    Modify,
}

/// Incremental update result
#[derive(Debug, Clone)]
pub struct IncrementalUpdate {
    pub updated_sections: Vec<UpdatedSection>,
    pub update_time: std::time::Duration,
}

/// Updated section
#[derive(Debug, Clone)]
pub struct UpdatedSection {
    pub format: OutputFormat,
    pub start_line: usize,
    pub end_line: usize,
    pub new_content: String,
}

/// Interactive suggestion
#[derive(Debug, Clone)]
pub struct InteractiveSuggestion {
    pub suggestion: String,
    pub completion: String,
    pub confidence: f64,
}

// Placeholder implementations for supporting modules

#[derive(Debug)]
pub struct SemanticAnalyzer {}

impl SemanticAnalyzer {
    pub const fn new() -> Self {
        Self {}
    }

    pub fn analyze_circuit(
        &self,
        circuit: &[QuantumGate],
        _num_qubits: usize,
    ) -> Result<SemanticInfo, QuantRS2Error> {
        let algorithm_type = if circuit.len() > 10 {
            "Complex Algorithm"
        } else {
            "Simple Circuit"
        };

        Ok(SemanticInfo {
            algorithm_type: algorithm_type.to_string(),
            complexity_class: "BQP".to_string(),
            purpose: "Quantum computation".to_string(),
            algorithm_phases: vec![AlgorithmPhase {
                name: "Initialization".to_string(),
                start_index: 0,
                end_index: circuit.len().min(3),
                description: "State preparation".to_string(),
            }],
            identified_patterns: Vec::new(),
        })
    }
}

#[derive(Debug)]
pub struct AIBeautifier {}

impl AIBeautifier {
    pub const fn new() -> Self {
        Self {}
    }

    pub fn generate_beautification_suggestions(
        &self,
        _circuit: &[QuantumGate],
        _semantic_info: &Option<SemanticInfo>,
    ) -> Result<BeautificationSuggestions, QuantRS2Error> {
        Ok(BeautificationSuggestions {
            layout_improvements: vec!["Group related gates together".to_string()],
            naming_suggestions: vec!["Use descriptive gate labels".to_string()],
            structure_improvements: vec!["Consider gate fusion opportunities".to_string()],
            style_recommendations: vec!["Add comments for complex sections".to_string()],
        })
    }
}

#[derive(Debug)]
pub struct VisualRenderer {}

impl VisualRenderer {
    pub const fn new() -> Self {
        Self {}
    }

    pub fn render_ascii(
        &self,
        circuit: &[QuantumGate],
        num_qubits: usize,
    ) -> Result<String, QuantRS2Error> {
        let mut output = String::new();

        // Simple ASCII circuit diagram
        for q in 0..num_qubits {
            let _ = write!(output, "q{q}: ");

            for gate in circuit {
                if gate.target_qubits().contains(&q) {
                    match gate.gate_type() {
                        GateType::X => output.push_str("-X-"),
                        GateType::H => output.push_str("-H-"),
                        GateType::CNOT => {
                            if gate.target_qubits()[0] == q {
                                output.push_str("-●-");
                            } else {
                                output.push_str("-⊕-");
                            }
                        }
                        _ => output.push_str("-G-"),
                    }
                } else {
                    output.push_str("---");
                }
            }

            output.push('\n');
        }

        Ok(output)
    }

    pub fn render_unicode(
        &self,
        circuit: &[QuantumGate],
        num_qubits: usize,
    ) -> Result<String, QuantRS2Error> {
        let mut output = String::new();

        for q in 0..num_qubits {
            let _ = write!(output, "q{q}: ");

            for gate in circuit {
                if gate.target_qubits().contains(&q) {
                    match gate.gate_type() {
                        GateType::X => output.push_str("─X̂─"),
                        GateType::Y => output.push_str("─Ŷ─"),
                        GateType::Z => output.push_str("─Ẑ─"),
                        GateType::H => output.push_str("─Ĥ─"),
                        GateType::CNOT => {
                            if gate.target_qubits()[0] == q {
                                output.push_str("─●─");
                            } else {
                                output.push_str("─⊕─");
                            }
                        }
                        _ => output.push_str("─□─"),
                    }
                } else {
                    output.push_str("───");
                }
            }

            output.push('\n');
        }

        Ok(output)
    }

    pub fn render_latex(
        &self,
        _circuit: &[QuantumGate],
        _num_qubits: usize,
    ) -> Result<String, QuantRS2Error> {
        Ok("\\begin{quantikz}\n% LaTeX circuit\n\\end{quantikz}".to_string())
    }

    pub fn render_svg(
        &self,
        _circuit: &[QuantumGate],
        _num_qubits: usize,
    ) -> Result<String, QuantRS2Error> {
        Ok("<svg><!-- SVG circuit --></svg>".to_string())
    }

    pub fn render_html(
        &self,
        _circuit: &[QuantumGate],
        _num_qubits: usize,
    ) -> Result<String, QuantRS2Error> {
        Ok("<div class=\"quantum-circuit\"><!-- HTML circuit --></div>".to_string())
    }

    pub fn render_markdown(
        &self,
        circuit: &[QuantumGate],
        num_qubits: usize,
    ) -> Result<String, QuantRS2Error> {
        let mut output = String::new();

        output.push_str("## Quantum Circuit\n\n");
        output.push_str("```\n");
        output.push_str(&self.render_ascii(circuit, num_qubits)?);
        output.push_str("```\n");

        Ok(output)
    }

    pub fn render_graphviz(
        &self,
        _circuit: &[QuantumGate],
        _num_qubits: usize,
    ) -> Result<String, QuantRS2Error> {
        Ok("digraph QuantumCircuit {\n  // GraphViz representation\n}".to_string())
    }
}

#[derive(Debug)]
pub struct TemplateEngine {}

impl TemplateEngine {
    pub const fn new() -> Self {
        Self {}
    }

    pub fn get_template(&self, algorithm_type: &str) -> Result<AlgorithmTemplate, QuantRS2Error> {
        Ok(AlgorithmTemplate {
            name: algorithm_type.to_string(),
            content: "// {{ALGORITHM_NAME}}\n// Gates: {{GATE_COUNT}}\n// Depth: {{CIRCUIT_DEPTH}}\n\n{{GATE_SEQUENCE}}".to_string(),
            parameters: HashMap::new(),
        })
    }

    pub fn get_default_template(&self) -> Result<AlgorithmTemplate, QuantRS2Error> {
        self.get_template("Default")
    }
}

#[derive(Debug, Clone)]
pub struct AlgorithmTemplate {
    pub name: String,
    pub content: String,
    pub parameters: HashMap<String, String>,
}

#[derive(Debug)]
pub struct HardwareOptimizer {}

impl HardwareOptimizer {
    pub const fn new() -> Self {
        Self {}
    }

    pub fn optimize_for_hardware(
        &self,
        _circuit: &[QuantumGate],
        backend: &QuantumBackend,
    ) -> Result<HardwareFormattingInfo, QuantRS2Error> {
        let native_gates = match backend {
            QuantumBackend::IBMQ => vec!["rz", "sx", "cx"],
            QuantumBackend::IonQ => vec!["rx", "ry", "rz", "rxx"],
            _ => vec!["u1", "u2", "u3", "cx"],
        };

        Ok(HardwareFormattingInfo {
            target_backend: *backend,
            native_gates: native_gates.iter().map(|s| s.to_string()).collect(),
            connectivity_constraints: Vec::new(),
            optimization_hints: vec!["Use native gate set for optimal performance".to_string()],
        })
    }
}

#[derive(Debug)]
pub struct IncrementalFormatter {}

impl IncrementalFormatter {
    pub const fn new() -> Self {
        Self {}
    }

    pub fn apply_change(
        &self,
        _change: CircuitChange,
        _previous: &EnhancedFormattedCode,
    ) -> Result<IncrementalUpdate, QuantRS2Error> {
        Ok(IncrementalUpdate {
            updated_sections: Vec::new(),
            update_time: std::time::Duration::from_millis(10),
        })
    }
}

#[derive(Debug)]
pub struct SuggestionEngine {}

impl SuggestionEngine {
    pub const fn new() -> Self {
        Self {}
    }

    pub fn generate_suggestions(
        &self,
        _circuit: &[QuantumGate],
        _semantic_info: &Option<SemanticInfo>,
    ) -> Result<Vec<FormattingSuggestion>, QuantRS2Error> {
        Ok(vec![FormattingSuggestion {
            suggestion_type: SuggestionType::Performance,
            description: "Consider gate fusion for adjacent single-qubit gates".to_string(),
            location: SuggestionLocation::Global,
            priority: Priority::Medium,
            auto_applicable: true,
        }])
    }

    pub fn get_suggestions_at_position(
        &self,
        _circuit: &[QuantumGate],
        _position: usize,
    ) -> Result<Vec<InteractiveSuggestion>, QuantRS2Error> {
        Ok(vec![InteractiveSuggestion {
            suggestion: "Add Hadamard gate".to_string(),
            completion: "H(0)".to_string(),
            confidence: 0.85,
        }])
    }
}

#[derive(Debug)]
pub struct ExportEngine {}

impl ExportEngine {
    pub const fn new() -> Self {
        Self {}
    }

    pub fn export(
        &self,
        formatted_code: &EnhancedFormattedCode,
        format: ExportFormat,
    ) -> Result<String, QuantRS2Error> {
        match format {
            ExportFormat::JSON => Ok(format!(
                "{{\"circuit\": \"exported\", \"gates\": {}}}",
                formatted_code.formatted_outputs.len()
            )),
            ExportFormat::YAML => Ok(format!(
                "circuit: exported\ngates: {}",
                formatted_code.formatted_outputs.len()
            )),
            _ => Ok("Exported circuit".to_string()),
        }
    }
}

#[derive(Debug)]
pub struct SyntaxHighlighter {}

impl SyntaxHighlighter {
    pub const fn new() -> Self {
        Self {}
    }

    pub fn generate_metadata(
        &self,
        circuit: &[QuantumGate],
    ) -> Result<SyntaxMetadata, QuantRS2Error> {
        let mut tokens = Vec::new();

        for (i, gate) in circuit.iter().enumerate() {
            tokens.push(SyntaxToken {
                token_type: TokenType::Gate,
                start: i * 10,
                end: i * 10 + 5,
                text: format!("{:?}", gate.gate_type()),
            });
        }

        Ok(SyntaxMetadata {
            tokens,
            scopes: Vec::new(),
            color_scheme: ColorScheme {
                name: "Quantum Dark".to_string(),
                colors: HashMap::new(),
            },
        })
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_enhanced_formatter_creation() {
        let formatter = EnhancedQuantumFormatter::new();
        assert!(formatter.config.enable_ai_beautification);
        assert!(formatter.config.enable_semantic_formatting);
    }

    #[test]
    fn test_enhanced_circuit_formatting() {
        let formatter = EnhancedQuantumFormatter::new();
        let circuit = vec![
            QuantumGate::new(GateType::H, vec![0], None),
            QuantumGate::new(GateType::CNOT, vec![0, 1], None),
        ];

        let options = FormattingOptions {
            target_hardware: QuantumBackend::IBMQ,
            include_code_formats: true,
            apply_templates: true,
            optimization_level: OptimizationLevel::Advanced,
        };

        let result = formatter
            .format_circuit_enhanced(&circuit, 2, options)
            .expect("circuit formatting failed");
        assert!(!result.formatted_outputs.is_empty());
        assert!(result.quality_metrics.readability_score > 0.0);
    }

    #[test]
    fn test_visual_rendering() {
        let renderer = VisualRenderer::new();
        let circuit = vec![
            QuantumGate::new(GateType::H, vec![0], None),
            QuantumGate::new(GateType::X, vec![1], None),
        ];

        let ascii = renderer
            .render_ascii(&circuit, 2)
            .expect("ascii rendering failed");
        assert!(ascii.contains("-H-"));
        assert!(ascii.contains("-X-"));
    }

    #[test]
    fn test_unicode_rendering() {
        let renderer = VisualRenderer::new();
        let circuit = vec![QuantumGate::new(GateType::H, vec![0], None)];

        let unicode = renderer
            .render_unicode(&circuit, 1)
            .expect("unicode rendering failed");
        assert!(unicode.contains("Ĥ"));
    }

    #[test]
    fn test_semantic_analysis() {
        let analyzer = SemanticAnalyzer::new();
        let circuit = vec![QuantumGate::new(GateType::H, vec![0], None)];

        let semantic_info = analyzer
            .analyze_circuit(&circuit, 1)
            .expect("semantic analysis failed");
        assert!(!semantic_info.algorithm_type.is_empty());
        assert!(!semantic_info.algorithm_phases.is_empty());
    }

    #[test]
    fn test_ai_beautification() {
        let beautifier = AIBeautifier::new();
        let circuit = vec![QuantumGate::new(GateType::H, vec![0], None)];

        let suggestions = beautifier
            .generate_beautification_suggestions(&circuit, &None)
            .expect("beautification suggestions failed");
        assert!(!suggestions.layout_improvements.is_empty());
    }

    #[test]
    fn test_hardware_optimization() {
        let optimizer = HardwareOptimizer::new();
        let circuit = vec![QuantumGate::new(GateType::H, vec![0], None)];

        let hw_info = optimizer
            .optimize_for_hardware(&circuit, &QuantumBackend::IBMQ)
            .expect("hardware optimization failed");
        assert!(!hw_info.native_gates.is_empty());
        assert_eq!(hw_info.target_backend, QuantumBackend::IBMQ);
    }

    #[test]
    fn test_quality_metrics_calculation() {
        let formatter = EnhancedQuantumFormatter::new();
        let circuit = vec![
            QuantumGate::new(GateType::H, vec![0], None),
            QuantumGate::new(GateType::X, vec![1], None),
        ];

        let mut outputs = HashMap::new();
        outputs.insert(OutputFormat::Text, "// Test\nH(0)\nX(1)".to_string());

        let metrics = formatter.calculate_quality_metrics(&circuit, &outputs);
        assert!(metrics.readability_score > 0.0);
        assert!(metrics.simd_optimization_ratio > 0.0);
    }

    #[test]
    fn test_interactive_suggestions() {
        let engine = SuggestionEngine::new();
        let circuit = vec![QuantumGate::new(GateType::H, vec![0], None)];

        let suggestions = engine
            .get_suggestions_at_position(&circuit, 0)
            .expect("suggestions at position failed");
        assert!(!suggestions.is_empty());
        assert!(suggestions[0].confidence > 0.0);
    }

    #[test]
    fn test_export_functionality() {
        let engine = ExportEngine::new();
        let formatted_code = EnhancedFormattedCode {
            formatted_outputs: HashMap::new(),
            visual_representations: HashMap::new(),
            semantic_info: None,
            beautification_suggestions: None,
            hardware_formatting: None,
            formatting_suggestions: Vec::new(),
            templated_code: None,
            syntax_metadata: None,
            quality_metrics: QualityMetrics {
                readability_score: 0.9,
                consistency_score: 0.85,
                optimization_score: 0.7,
                documentation_score: 0.8,
                average_line_length: 80,
                gate_density: 0.5,
                comment_ratio: 0.3,
                simd_optimization_ratio: 0.6,
            },
            formatting_time: std::time::Duration::from_millis(100),
            platform_optimizations: Vec::new(),
        };

        let json_export = engine
            .export(&formatted_code, ExportFormat::JSON)
            .expect("json export failed");
        assert!(json_export.contains("circuit"));
    }
}