optirs-tpu 0.3.1

use std::fmt::Debug;
// TPU code generation for XLA computations
//
// This module implements code generation for TPU hardware, including
// kernel generation, instruction scheduling, register allocation,
// and hardware-specific optimizations.

use scirs2_core::numeric::Float;
use std::collections::{BTreeMap, HashMap, HashSet};
use std::fmt::Write;

use super::super::frontend::{
    ConvolutionConfig, DataType, Layout, OperandId, OperationId, OperationType, TensorShape,
    XLAComputation, XLAOperation,
};
use super::super::optimization::MemoryPlan;
use super::super::{GeneratedCode, TPUConfig, TPUVersion};
use crate::error::{OptimError, Result};

/// TPU code generator
pub struct TPUCodeGenerator<T: Float + Debug + Send + Sync + 'static> {
    /// Target TPU configuration
    target_config: TPUConfig,

    /// Instruction generator
    instruction_generator: InstructionGenerator<T>,

    /// Kernel generator
    kernel_generator: KernelGenerator<T>,

    /// Register allocator
    register_allocator: RegisterAllocator,

    /// Instruction scheduler
    instruction_scheduler: InstructionScheduler<T>,

    /// Code optimizer
    code_optimizer: CodeOptimizer<T>,

    /// Generation statistics
    generation_stats: CodeGenerationStats,
}

/// Code generation statistics
#[derive(Debug, Default)]
pub struct CodeGenerationStats {
    /// Total instructions generated
    pub instructions_generated: usize,

    /// Number of kernels generated
    pub kernels_generated: usize,

    /// Register pressure peak
    pub max_register_pressure: usize,

    /// Code size (bytes)
    pub code_size: usize,

    /// Generation time (microseconds)
    pub generation_time_us: u64,

    /// Optimization passes applied
    pub optimization_passes: usize,
}

/// Instruction generator for TPU operations
pub struct InstructionGenerator<T: Float + Debug + Send + Sync + 'static> {
    /// Instruction templates
    instruction_templates: HashMap<OperationType, InstructionTemplate>,

    /// Generated instructions
    generated_instructions: Vec<TPUInstruction>,

    /// Instruction counter
    instruction_counter: usize,

    _phantom: std::marker::PhantomData<T>,
}

/// TPU instruction representation
#[derive(Debug, Clone)]
pub struct TPUInstruction {
    /// Instruction ID
    pub id: usize,

    /// Instruction opcode
    pub opcode: TPUOpcode,

    /// Operands
    pub operands: Vec<TPUOperand>,

    /// Result register
    pub result: Option<TPURegister>,

    /// Instruction attributes
    pub attributes: InstructionAttributes,

    /// Scheduling information
    pub scheduling_info: SchedulingInfo,
}

/// TPU opcodes
#[derive(Debug, Clone, PartialEq)]
pub enum TPUOpcode {
    // Matrix operations
    MatMul,
    MatMulAccumulate,

    // Vector operations
    VectorAdd,
    VectorMultiply,
    VectorDot,

    // Scalar operations
    ScalarAdd,
    ScalarMultiply,

    // Memory operations
    Load,
    Store,
    Move,

    // Control flow
    Branch,
    Call,
    Return,

    // Special operations
    Reduce,
    Transpose,
    Reshape,

    // Communication
    AllReduce,
    AllGather,

    // Custom operations
    Custom(String),
}

/// TPU operand
#[derive(Debug, Clone)]
pub enum TPUOperand {
    /// Register operand
    Register(TPURegister),

    /// Immediate value
    Immediate(i64),

    /// Memory address
    Memory(MemoryAddress),

    /// Label reference
    Label(String),
}

/// TPU register
#[derive(Debug, Clone, PartialEq, Hash)]
pub struct TPURegister {
    /// Register type
    pub reg_type: RegisterType,

    /// Register index
    pub index: usize,

    /// Data type stored in register
    pub data_type: DataType,

    /// Register size (bytes)
    pub size: usize,
}

/// Types of TPU registers
#[derive(Debug, Clone, PartialEq, Eq, Hash)]
pub enum RegisterType {
    /// Matrix registers (for matrix operations)
    Matrix,

    /// Vector registers (for vector operations)
    Vector,

    /// Scalar registers (for scalar operations)
    Scalar,

    /// Address registers (for memory operations)
    Address,

    /// Predicate registers (for control flow)
    Predicate,
}

/// Memory address representation
#[derive(Debug, Clone)]
pub struct MemoryAddress {
    /// Base address
    pub base: Option<TPURegister>,

    /// Offset
    pub offset: i64,

    /// Index register
    pub index: Option<TPURegister>,

    /// Scale factor
    pub scale: usize,

    /// Memory space
    pub memory_space: MemorySpace,
}

/// Memory spaces for TPU
#[derive(Debug, Clone)]
pub enum MemorySpace {
    /// Local memory (L1)
    Local,

    /// Shared memory (L2)
    Shared,

    /// Global memory (HBM)
    Global,

    /// Host memory
    Host,
}

/// Instruction attributes
#[derive(Debug, Clone, Default)]
pub struct InstructionAttributes {
    /// Instruction latency
    pub latency: u32,

    /// Throughput (instructions per cycle)
    pub throughput: f64,

    /// Resource requirements
    pub resources: Vec<String>,

    /// Memory bandwidth requirement
    pub memory_bandwidth: f64,

    /// Can be predicated
    pub predicable: bool,
}

/// Scheduling information
#[derive(Debug, Clone, Default)]
pub struct SchedulingInfo {
    /// Earliest scheduling cycle
    pub earliest_cycle: u64,

    /// Latest scheduling cycle
    pub latest_cycle: u64,

    /// Actual scheduled cycle
    pub scheduled_cycle: Option<u64>,

    /// Dependencies
    pub dependencies: Vec<usize>,

    /// Resource conflicts
    pub resource_conflicts: Vec<usize>,
}

/// Instruction template for code generation
#[derive(Debug, Clone)]
pub struct InstructionTemplate {
    /// Template name
    pub name: String,

    /// Operation type this template applies to
    pub operation_type: OperationType,

    /// Instruction pattern
    pub pattern: Vec<TPUOpcode>,

    /// Operand mapping
    pub operand_mapping: Vec<OperandMapping>,

    /// Resource requirements
    pub resource_requirements: Vec<String>,
}

/// Operand mapping for templates
#[derive(Debug, Clone)]
pub enum OperandMapping {
    /// Input operand
    Input(usize),

    /// Output operand
    Output(usize),

    /// Constant value
    Constant(i64),

    /// Register allocation
    Register(RegisterType),
}

/// Kernel generator for TPU kernels
pub struct KernelGenerator<T: Float + Debug + Send + Sync + 'static> {
    /// Generated kernels
    kernels: Vec<TPUKernel>,

    /// Kernel templates
    templates: HashMap<String, KernelTemplate>,

    /// Kernel optimization passes
    optimization_passes: Vec<Box<dyn KernelOptimizationPass>>,

    _phantom: std::marker::PhantomData<T>,
}

/// TPU kernel representation
#[derive(Debug, Clone)]
pub struct TPUKernel {
    /// Kernel name
    pub name: String,

    /// Kernel instructions
    pub instructions: Vec<TPUInstruction>,

    /// Kernel parameters
    pub parameters: Vec<KernelParameter>,

    /// Local memory requirements
    pub local_memory: usize,

    /// Register requirements
    pub register_requirements: RegisterRequirements,

    /// Performance characteristics
    pub performance: KernelPerformance,
}

/// Kernel parameter
#[derive(Debug, Clone)]
pub struct KernelParameter {
    /// Parameter name
    pub name: String,

    /// Parameter type
    pub param_type: ParameterType,

    /// Memory layout
    pub layout: Layout,

    /// Access pattern
    pub access_pattern: AccessPattern,
}

/// Parameter types
#[derive(Debug, Clone)]
pub enum ParameterType {
    /// Input tensor
    InputTensor(TensorShape, DataType),

    /// Output tensor
    OutputTensor(TensorShape, DataType),

    /// Scalar parameter
    Scalar(DataType),

    /// Buffer parameter
    Buffer(usize),
}

/// Access patterns for parameters
#[derive(Debug, Clone)]
pub enum AccessPattern {
    /// Read-only access
    ReadOnly,

    /// Write-only access
    WriteOnly,

    /// Read-write access
    ReadWrite,

    /// Reduction access
    Reduction,
}

/// Register requirements for kernel
#[derive(Debug, Default, Clone)]
pub struct RegisterRequirements {
    /// Matrix registers needed
    pub matrix_registers: usize,

    /// Vector registers needed
    pub vector_registers: usize,

    /// Scalar registers needed
    pub scalar_registers: usize,

    /// Address registers needed
    pub address_registers: usize,
}

/// Kernel performance characteristics
#[derive(Debug, Default, Clone)]
pub struct KernelPerformance {
    /// Estimated cycles
    pub estimated_cycles: u64,

    /// Arithmetic intensity
    pub arithmetic_intensity: f64,

    /// Memory bandwidth utilization
    pub memory_bandwidth_util: f64,

    /// Compute utilization
    pub compute_utilization: f64,
}

/// Kernel template for code generation
#[derive(Debug)]
pub struct KernelTemplate {
    /// Template name
    pub name: String,

    /// Supported operations
    pub supported_operations: Vec<OperationType>,

    /// Template code
    pub template_code: String,

    /// Parameter substitutions
    pub substitutions: HashMap<String, String>,
}

/// Kernel optimization pass
pub trait KernelOptimizationPass {
    /// Pass name
    fn name(&self) -> &str;

    /// Apply optimization to kernel
    fn optimize(&self, kernel: &mut TPUKernel) -> Result<bool>;

    /// Check if pass is applicable
    fn is_applicable(&self, kernel: &TPUKernel) -> bool;
}

/// Register allocator for TPU
pub struct RegisterAllocator {
    /// Available registers by type
    available_registers: HashMap<RegisterType, HashSet<usize>>,

    /// Register assignments
    assignments: HashMap<OperandId, TPURegister>,

    /// Register pressure tracking
    pressure_tracking: BTreeMap<u64, RegisterPressure>,

    /// Spill decisions
    spill_decisions: Vec<SpillDecision>,
}

/// Register pressure at a point in time
#[derive(Debug, Default)]
pub struct RegisterPressure {
    /// Pressure by register type
    pub pressure_by_type: HashMap<RegisterType, usize>,

    /// Total pressure
    pub total_pressure: usize,

    /// Spill cost at this point
    pub spill_cost: f64,
}

/// Spill decision
#[derive(Debug)]
pub struct SpillDecision {
    /// Operand to spill
    pub operand: OperandId,

    /// Register being spilled
    pub register: TPURegister,

    /// Spill location
    pub spill_location: MemoryAddress,

    /// Spill cost
    pub cost: f64,
}

/// Instruction scheduler for TPU
pub struct InstructionScheduler<T: Float + Debug + Send + Sync + 'static> {
    /// Scheduling strategy
    strategy: SchedulingStrategy,

    /// Resource model
    resource_model: ResourceModel,

    /// Dependency graph
    dependency_graph: InstructionDependencyGraph,

    _phantom: std::marker::PhantomData<T>,
}

/// Scheduling strategies for instructions
#[derive(Debug)]
pub enum SchedulingStrategy {
    /// List scheduling
    List,

    /// Critical path scheduling
    CriticalPath,

    /// Software pipelining
    SoftwarePipelining,

    /// Trace scheduling
    Trace,
}

/// Resource model for TPU
#[derive(Debug)]
pub struct ResourceModel {
    /// Available execution units
    execution_units: Vec<ExecutionUnit>,

    /// Pipeline stages
    pipeline_stages: Vec<PipelineStage>,

    /// Resource conflicts
    conflicts: HashMap<String, Vec<String>>,
}

/// Execution unit model
#[derive(Debug)]
pub struct ExecutionUnit {
    /// Unit name
    pub name: String,

    /// Supported operations
    pub supported_ops: Vec<TPUOpcode>,

    /// Latency
    pub latency: u32,

    /// Throughput
    pub throughput: f64,
}

/// Pipeline stage model
#[derive(Debug)]
pub struct PipelineStage {
    /// Stage name
    pub name: String,

    /// Stage latency
    pub latency: u32,

    /// Resources used
    pub resources: Vec<String>,
}

/// Instruction dependency graph
#[derive(Debug)]
pub struct InstructionDependencyGraph {
    /// Dependencies between instructions
    pub dependencies: HashMap<usize, Vec<usize>>,

    /// Dependency types
    pub dependency_types: HashMap<(usize, usize), DependencyType>,

    /// Critical path
    pub critical_path: Vec<usize>,
}

/// Types of instruction dependencies
#[derive(Debug)]
pub enum DependencyType {
    /// True dependency (read after write)
    True,

    /// Anti dependency (write after read)
    Anti,

    /// Output dependency (write after write)
    Output,

    /// Control dependency
    Control,

    /// Resource dependency
    Resource,
}

/// Code optimizer for generated TPU code
pub struct CodeOptimizer<T: Float + Debug + Send + Sync + 'static> {
    /// Optimization passes
    passes: Vec<Box<dyn CodeOptimizationPass<T>>>,

    /// Pass statistics
    pass_stats: HashMap<String, OptimizationStats>,
}

/// Code optimization pass trait
pub trait CodeOptimizationPass<T: Float + Debug + Send + Sync + 'static> {
    /// Pass name
    fn name(&self) -> &str;

    /// Apply optimization
    fn optimize(&self, code: &mut GeneratedCode) -> Result<bool>;

    /// Check if applicable
    fn is_applicable(&self, code: &GeneratedCode) -> bool;
}

/// Optimization statistics
#[derive(Debug, Default)]
pub struct OptimizationStats {
    /// Instructions eliminated
    pub instructions_eliminated: usize,

    /// Cycles saved
    pub cycles_saved: u64,

    /// Memory accesses eliminated
    pub memory_accesses_eliminated: usize,
}

impl<T: Float + Debug + Default + std::fmt::Debug + Clone + Send + Sync> TPUCodeGenerator<T> {
    /// Create new TPU code generator
    pub fn new(target_config: TPUConfig) -> Self {
        Self {
            instruction_generator: InstructionGenerator::new(&target_config),
            kernel_generator: KernelGenerator::new(&target_config),
            register_allocator: RegisterAllocator::new(&target_config),
            instruction_scheduler: InstructionScheduler::new(&target_config),
            code_optimizer: CodeOptimizer::new(),
            target_config,
            generation_stats: CodeGenerationStats::default(),
        }
    }

    /// Generate code for XLA computation
    pub fn generate_code(
        &mut self,
        computation: &XLAComputation<T>,
        memory_plan: &MemoryPlan<T>,
    ) -> Result<GeneratedCode> {
        let start_time = std::time::Instant::now();

        // Generate instructions for each operation
        let mut all_instructions = Vec::new();
        for operation in &computation.operations {
            let instructions = self
                .instruction_generator
                .generate_instructions(operation)?;
            all_instructions.extend(instructions);
        }

        // Allocate registers
        self.register_allocator
            .allocate_registers(&all_instructions, memory_plan)?;

        // Schedule instructions
        let scheduled_instructions = self
            .instruction_scheduler
            .schedule_instructions(&all_instructions)?;

        // Generate kernels
        let kernels = self
            .kernel_generator
            .generate_kernels(&scheduled_instructions, memory_plan)?;

        // Generate final code
        let mut generated_code = self.generate_final_code(&kernels)?;

        // Apply optimizations
        self.code_optimizer.optimize(&mut generated_code)?;

        self.generation_stats.generation_time_us = start_time.elapsed().as_micros() as u64;
        self.generation_stats.instructions_generated = all_instructions.len();
        self.generation_stats.kernels_generated = kernels.len();
        self.generation_stats.code_size = generated_code.kernel_code.len();

        Ok(generated_code)
    }

    /// Generate final code from kernels
    fn generate_final_code(&self, kernels: &[TPUKernel]) -> Result<GeneratedCode> {
        let mut kernel_code = String::new();
        let mut init_code = String::new();
        let mut cleanup_code = String::new();
        let mut memory_code = String::new();

        // Generate kernel code
        for kernel in kernels {
            writeln!(kernel_code, "// Kernel: {}", kernel.name)
                .map_err(|e| OptimError::from(e.to_string()))?;
            writeln!(kernel_code, "kernel {} {{", kernel.name)
                .map_err(|e| OptimError::from(e.to_string()))?;

            for instruction in &kernel.instructions {
                let asm_code = self.generate_assembly(instruction)?;
                writeln!(kernel_code, "  {}", asm_code)
                    .map_err(|e| OptimError::from(e.to_string()))?;
            }

            writeln!(kernel_code, "}}").map_err(|e| OptimError::from(e.to_string()))?;
            writeln!(kernel_code).map_err(|e| OptimError::from(e.to_string()))?;
        }

        // Generate initialization code
        writeln!(init_code, "// Initialization").map_err(|e| OptimError::from(e.to_string()))?;
        writeln!(init_code, "init_tpu();").map_err(|e| OptimError::from(e.to_string()))?;

        // Generate cleanup code
        writeln!(cleanup_code, "// Cleanup").map_err(|e| OptimError::from(e.to_string()))?;
        writeln!(cleanup_code, "cleanup_tpu();").map_err(|e| OptimError::from(e.to_string()))?;

        // Generate memory management code
        writeln!(memory_code, "// Memory management")
            .map_err(|e| OptimError::from(e.to_string()))?;
        writeln!(memory_code, "allocate_buffers();")
            .map_err(|e| OptimError::from(e.to_string()))?;

        Ok(GeneratedCode {
            kernel_code,
            init_code,
            cleanup_code,
            memory_code,
        })
    }

    /// Generate assembly code for instruction
    fn generate_assembly(&self, instruction: &TPUInstruction) -> Result<String> {
        let mut asm = String::new();

        match &instruction.opcode {
            TPUOpcode::MatMul => {
                write!(asm, "matmul").map_err(|e| OptimError::from(e.to_string()))?;
            }
            TPUOpcode::VectorAdd => {
                write!(asm, "vadd").map_err(|e| OptimError::from(e.to_string()))?;
            }
            TPUOpcode::Load => {
                write!(asm, "load").map_err(|e| OptimError::from(e.to_string()))?;
            }
            TPUOpcode::Store => {
                write!(asm, "store").map_err(|e| OptimError::from(e.to_string()))?;
            }
            _ => {
                write!(asm, "{:?}", instruction.opcode)
                    .map_err(|e| OptimError::from(e.to_string()))?;
            }
        }

        // Add operands
        for (i, operand) in instruction.operands.iter().enumerate() {
            if i > 0 {
                write!(asm, ",").map_err(|e| OptimError::from(e.to_string()))?;
            }
            write!(asm, " {}", self.format_operand(operand)?)
                .map_err(|e| OptimError::from(e.to_string()))?;
        }

        // Add result
        if let Some(result) = &instruction.result {
            write!(asm, " -> {}", self.format_register(result)?)
                .map_err(|e| OptimError::from(e.to_string()))?;
        }

        Ok(asm)
    }

    /// Format operand for assembly
    fn format_operand(&self, operand: &TPUOperand) -> Result<String> {
        match operand {
            TPUOperand::Register(reg) => self.format_register(reg),
            TPUOperand::Immediate(val) => Ok(format!("#{}", val)),
            TPUOperand::Memory(addr) => Ok(format!("[{}]", self.format_memory_address(addr)?)),
            TPUOperand::Label(label) => Ok(label.clone()),
        }
    }

    /// Format register for assembly
    fn format_register(&self, register: &TPURegister) -> Result<String> {
        let prefix = match register.reg_type {
            RegisterType::Matrix => "m",
            RegisterType::Vector => "v",
            RegisterType::Scalar => "s",
            RegisterType::Address => "a",
            RegisterType::Predicate => "p",
        };
        Ok(format!("{}{}", prefix, register.index))
    }

    /// Format memory address for assembly
    fn format_memory_address(&self, address: &MemoryAddress) -> Result<String> {
        let mut addr_str = String::new();

        if let Some(base) = &address.base {
            write!(addr_str, "{}", self.format_register(base)?)
                .map_err(|e| OptimError::from(e.to_string()))?;
        }

        if address.offset != 0 {
            if !addr_str.is_empty() {
                write!(addr_str, "+").map_err(|e| OptimError::from(e.to_string()))?;
            }
            write!(addr_str, "{}", address.offset).map_err(|e| OptimError::from(e.to_string()))?;
        }

        if let Some(index) = &address.index {
            if !addr_str.is_empty() {
                write!(addr_str, "+").map_err(|e| OptimError::from(e.to_string()))?;
            }
            write!(
                addr_str,
                "{}*{}",
                self.format_register(index)?,
                address.scale
            )
            .map_err(|e| OptimError::from(e.to_string()))?;
        }

        Ok(addr_str)
    }

    /// Reset generator state
    pub fn reset(&mut self) {
        self.generation_stats = CodeGenerationStats::default();
        self.instruction_generator.reset();
        self.kernel_generator.reset();
        self.register_allocator.reset();
    }
}

impl<T: Float + Debug + Default + std::fmt::Debug + Clone + Send + Sync> InstructionGenerator<T> {
    /// Create new instruction generator
    pub fn new(target_config: &TPUConfig) -> Self {
        let mut generator = Self {
            instruction_templates: HashMap::new(),
            generated_instructions: Vec::new(),
            instruction_counter: 0,
            _phantom: std::marker::PhantomData,
        };

        generator.initialize_templates(target_config);
        generator
    }

    /// Initialize instruction templates
    fn initialize_templates(&mut self, _target_config: &TPUConfig) {
        // Add matrix multiplication template
        self.instruction_templates.insert(
            OperationType::Dot,
            InstructionTemplate {
                name: "dot_product".to_string(),
                operation_type: OperationType::Dot,
                pattern: vec![TPUOpcode::MatMul],
                operand_mapping: vec![
                    OperandMapping::Input(0),
                    OperandMapping::Input(1),
                    OperandMapping::Output(0),
                ],
                resource_requirements: vec!["matrix_unit".to_string()],
            },
        );

        // Add vector addition template
        self.instruction_templates.insert(
            OperationType::Add,
            InstructionTemplate {
                name: "vector_add".to_string(),
                operation_type: OperationType::Add,
                pattern: vec![TPUOpcode::VectorAdd],
                operand_mapping: vec![
                    OperandMapping::Input(0),
                    OperandMapping::Input(1),
                    OperandMapping::Output(0),
                ],
                resource_requirements: vec!["vector_unit".to_string()],
            },
        );
    }

    /// Generate instructions for operation
    pub fn generate_instructions(
        &mut self,
        operation: &XLAOperation<T>,
    ) -> Result<Vec<TPUInstruction>> {
        if let Some(template) = self.instruction_templates.get(&operation.op_type) {
            let mut instructions = Vec::new();

            for opcode in &template.pattern {
                let instruction = TPUInstruction {
                    id: self.instruction_counter,
                    opcode: opcode.clone(),
                    operands: self.map_operands(&template.operand_mapping, operation)?,
                    result: Some(TPURegister {
                        reg_type: RegisterType::Vector, // Default
                        index: operation.output.0,
                        data_type: DataType::F32,
                        size: 4,
                    }),
                    attributes: InstructionAttributes {
                        latency: self.get_operation_latency(&operation.op_type),
                        throughput: 1.0,
                        resources: template.resource_requirements.clone(),
                        memory_bandwidth: 0.0,
                        predicable: false,
                    },
                    scheduling_info: SchedulingInfo::default(),
                };

                instructions.push(instruction);
                self.instruction_counter += 1;
            }

            self.generated_instructions.extend(instructions.clone());
            Ok(instructions)
        } else {
            // Default instruction generation
            Ok(vec![TPUInstruction {
                id: self.instruction_counter,
                opcode: TPUOpcode::Custom(format!("{:?}", operation.op_type)),
                operands: vec![],
                result: Some(TPURegister {
                    reg_type: RegisterType::Vector,
                    index: operation.output.0,
                    data_type: DataType::F32,
                    size: 4,
                }),
                attributes: InstructionAttributes::default(),
                scheduling_info: SchedulingInfo::default(),
            }])
        }
    }

    /// Map operands according to template
    fn map_operands(
        &self,
        mapping: &[OperandMapping],
        operation: &XLAOperation<T>,
    ) -> Result<Vec<TPUOperand>> {
        let mut operands = Vec::new();

        for map in mapping {
            match map {
                OperandMapping::Input(idx) => {
                    if *idx < operation.inputs.len() {
                        operands.push(TPUOperand::Register(TPURegister {
                            reg_type: RegisterType::Vector,
                            index: operation.inputs[*idx].0,
                            data_type: DataType::F32,
                            size: 4,
                        }));
                    }
                }
                OperandMapping::Output(idx) => {
                    if *idx == 0 {
                        operands.push(TPUOperand::Register(TPURegister {
                            reg_type: RegisterType::Vector,
                            index: operation.output.0,
                            data_type: DataType::F32,
                            size: 4,
                        }));
                    }
                }
                OperandMapping::Constant(val) => {
                    operands.push(TPUOperand::Immediate(*val));
                }
                OperandMapping::Register(reg_type) => {
                    operands.push(TPUOperand::Register(TPURegister {
                        reg_type: reg_type.clone(),
                        index: 0,
                        data_type: DataType::F32,
                        size: 4,
                    }));
                }
            }
        }

        Ok(operands)
    }

    /// Get operation latency
    fn get_operation_latency(&self, op_type: &OperationType) -> u32 {
        match op_type {
            OperationType::Add | OperationType::Multiply | OperationType::Subtract => 1,
            OperationType::Dot => 10,
            OperationType::Convolution(_) => 50,
            _ => 5,
        }
    }

    /// Reset generator state
    pub fn reset(&mut self) {
        self.generated_instructions.clear();
        self.instruction_counter = 0;
    }
}

impl<T: Float + Debug + Default + std::fmt::Debug + Clone + Send + Sync> KernelGenerator<T> {
    /// Create new kernel generator
    pub fn new(_target_config: &TPUConfig) -> Self {
        Self {
            kernels: Vec::new(),
            templates: HashMap::new(),
            optimization_passes: Vec::new(),
            _phantom: std::marker::PhantomData,
        }
    }

    /// Generate kernels from scheduled instructions
    pub fn generate_kernels(
        &mut self,
        instructions: &[TPUInstruction],
        _memory_plan: &MemoryPlan<T>,
    ) -> Result<Vec<TPUKernel>> {
        let kernel = TPUKernel {
            name: "main_kernel".to_string(),
            instructions: instructions.to_vec(),
            parameters: vec![],
            local_memory: 0,
            register_requirements: RegisterRequirements::default(),
            performance: KernelPerformance::default(),
        };

        self.kernels.push(kernel.clone());
        Ok(vec![kernel])
    }

    /// Reset generator state
    pub fn reset(&mut self) {
        self.kernels.clear();
    }
}

impl RegisterAllocator {
    /// Create new register allocator
    pub fn new(_target_config: &TPUConfig) -> Self {
        let mut available_registers = HashMap::new();

        // Initialize available registers for each type
        let mut matrix_regs = HashSet::new();
        for i in 0..32 {
            matrix_regs.insert(i);
        }
        available_registers.insert(RegisterType::Matrix, matrix_regs);

        let mut vector_regs = HashSet::new();
        for i in 0..64 {
            vector_regs.insert(i);
        }
        available_registers.insert(RegisterType::Vector, vector_regs);

        Self {
            available_registers,
            assignments: HashMap::new(),
            pressure_tracking: BTreeMap::new(),
            spill_decisions: Vec::new(),
        }
    }

    /// Allocate registers for instructions
    pub fn allocate_registers<T: Float + Debug + Send + Sync + 'static>(
        &mut self,
        _instructions: &[TPUInstruction],
        _memory_plan: &MemoryPlan<T>,
    ) -> Result<()> {
        // Simplified register allocation
        Ok(())
    }

    /// Reset allocator state
    pub fn reset(&mut self) {
        self.assignments.clear();
        self.pressure_tracking.clear();
        self.spill_decisions.clear();
    }
}

impl<T: Float + Debug + Default + std::fmt::Debug + Clone + Send + Sync> InstructionScheduler<T> {
    /// Create new instruction scheduler
    pub fn new(_target_config: &TPUConfig) -> Self {
        Self {
            strategy: SchedulingStrategy::List,
            resource_model: ResourceModel {
                execution_units: vec![],
                pipeline_stages: vec![],
                conflicts: HashMap::new(),
            },
            dependency_graph: InstructionDependencyGraph {
                dependencies: HashMap::new(),
                dependency_types: HashMap::new(),
                critical_path: vec![],
            },
            _phantom: std::marker::PhantomData,
        }
    }

    /// Schedule instructions
    pub fn schedule_instructions(
        &mut self,
        instructions: &[TPUInstruction],
    ) -> Result<Vec<TPUInstruction>> {
        // Simplified scheduling - return instructions as-is
        Ok(instructions.to_vec())
    }
}

impl<T: Float + Debug + Default + std::fmt::Debug + Clone + Send + Sync> Default
    for CodeOptimizer<T>
{
    fn default() -> Self {
        Self::new()
    }
}

impl<T: Float + Debug + Default + std::fmt::Debug + Clone + Send + Sync> CodeOptimizer<T> {
    /// Create new code optimizer
    pub fn new() -> Self {
        Self {
            passes: Vec::new(),
            pass_stats: HashMap::new(),
        }
    }

    /// Optimize generated code
    pub fn optimize(&mut self, _code: &mut GeneratedCode) -> Result<()> {
        // Code optimization implementation
        Ok(())
    }
}

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

    #[test]
    fn test_tpu_code_generator_creation() {
        use super::super::super::{super::PodTopology, TPUConfig, TPUVersion};

        let tpu_config = TPUConfig {
            tpu_version: TPUVersion::V4,
            num_cores: 8,
            enable_xla: true,
            xla_optimization_level: crate::main_types::XLAOptimizationLevel::Standard,
            mixed_precision: true,
            batch_size_per_core: 32,
            enable_pod_coordination: false,
            pod_topology: PodTopology::Pod2x2,
            memory_optimization: crate::main_types::TPUMemoryOptimization::Balanced,
            gradient_compression: true,
            prefetch_depth: 2,
            experimental_features: false,
        };

        let generator: TPUCodeGenerator<f32> = TPUCodeGenerator::new(tpu_config);
        assert_eq!(generator.generation_stats.instructions_generated, 0);
        assert_eq!(generator.generation_stats.kernels_generated, 0);
    }

    #[test]
    fn test_tpu_instruction_creation() {
        let instruction = TPUInstruction {
            id: 0,
            opcode: TPUOpcode::VectorAdd,
            operands: vec![
                TPUOperand::Register(TPURegister {
                    reg_type: RegisterType::Vector,
                    index: 0,
                    data_type: DataType::F32,
                    size: 4,
                }),
                TPUOperand::Register(TPURegister {
                    reg_type: RegisterType::Vector,
                    index: 1,
                    data_type: DataType::F32,
                    size: 4,
                }),
            ],
            result: Some(TPURegister {
                reg_type: RegisterType::Vector,
                index: 2,
                data_type: DataType::F32,
                size: 4,
            }),
            attributes: InstructionAttributes::default(),
            scheduling_info: SchedulingInfo::default(),
        };

        assert_eq!(instruction.opcode, TPUOpcode::VectorAdd);
        assert_eq!(instruction.operands.len(), 2);
        assert!(instruction.result.is_some());
    }
}