runmat-builtins 0.4.0

pub use inventory;
use runmat_gc_api::GcPtr;
use std::collections::HashMap;
use std::convert::TryFrom;
use std::fmt;
use std::future::Future;
use std::pin::Pin;

use indexmap::IndexMap;
use std::sync::OnceLock;

#[cfg(target_arch = "wasm32")]
pub mod wasm_registry {
    use super::{BuiltinDoc, BuiltinFunction, Constant};
    use once_cell::sync::Lazy;
    use std::sync::Mutex;

    static FUNCTIONS: Lazy<Mutex<Vec<&'static BuiltinFunction>>> =
        Lazy::new(|| Mutex::new(Vec::new()));
    static CONSTANTS: Lazy<Mutex<Vec<&'static Constant>>> = Lazy::new(|| Mutex::new(Vec::new()));
    static DOCS: Lazy<Mutex<Vec<&'static BuiltinDoc>>> = Lazy::new(|| Mutex::new(Vec::new()));
    static REGISTERED: Lazy<Mutex<bool>> = Lazy::new(|| Mutex::new(false));

    fn leak<T>(value: T) -> &'static T {
        Box::leak(Box::new(value))
    }

    pub fn submit_builtin_function(func: BuiltinFunction) {
        let leaked = leak(func);
        FUNCTIONS.lock().unwrap().push(leaked);
    }

    pub fn submit_constant(constant: Constant) {
        let leaked = leak(constant);
        CONSTANTS.lock().unwrap().push(leaked);
    }

    pub fn submit_builtin_doc(doc: BuiltinDoc) {
        let leaked = leak(doc);
        DOCS.lock().unwrap().push(leaked);
    }

    pub fn builtin_functions() -> Vec<&'static BuiltinFunction> {
        FUNCTIONS.lock().unwrap().clone()
    }

    pub fn constants() -> Vec<&'static Constant> {
        CONSTANTS.lock().unwrap().clone()
    }

    pub fn builtin_docs() -> Vec<&'static BuiltinDoc> {
        DOCS.lock().unwrap().clone()
    }

    pub fn mark_registered() {
        *REGISTERED.lock().unwrap() = true;
    }

    pub fn is_registered() -> bool {
        *REGISTERED.lock().unwrap()
    }
}

#[derive(Debug, Clone, PartialEq)]
pub enum Value {
    Int(IntValue),
    Num(f64),
    /// Complex scalar value represented as (re, im)
    Complex(f64, f64),
    Bool(bool),
    // Logical array (N-D of booleans). Scalars use Bool.
    LogicalArray(LogicalArray),
    String(String),
    // String array (R2016b+): N-D array of string scalars
    StringArray(StringArray),
    // Char array (single-quoted): 2-D character array (rows x cols)
    CharArray(CharArray),
    Tensor(Tensor),
    /// Complex numeric array; same column-major shape semantics as `Tensor`
    ComplexTensor(ComplexTensor),
    Cell(CellArray),
    // Struct (scalar or nested). Struct arrays are represented in higher layers;
    // this variant holds a single struct's fields.
    Struct(StructValue),
    // GPU-resident tensor handle (opaque; buffer managed by backend)
    GpuTensor(runmat_accelerate_api::GpuTensorHandle),
    // Simple object instance until full class system lands
    Object(ObjectInstance),
    /// Handle-object wrapper providing identity semantics and validity tracking
    HandleObject(HandleRef),
    /// Event listener handle for events
    Listener(Listener),
    /// Multiple outputs captured as a list (internal destructuring helper)
    OutputList(Vec<Value>),
    // Function handle pointing to a named function (builtin or user)
    FunctionHandle(String),
    Closure(Closure),
    ClassRef(String),
    MException(MException),
}
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum IntValue {
    I8(i8),
    I16(i16),
    I32(i32),
    I64(i64),
    U8(u8),
    U16(u16),
    U32(u32),
    U64(u64),
}

impl IntValue {
    pub fn to_i64(&self) -> i64 {
        match self {
            IntValue::I8(v) => *v as i64,
            IntValue::I16(v) => *v as i64,
            IntValue::I32(v) => *v as i64,
            IntValue::I64(v) => *v,
            IntValue::U8(v) => *v as i64,
            IntValue::U16(v) => *v as i64,
            IntValue::U32(v) => *v as i64,
            IntValue::U64(v) => {
                if *v > i64::MAX as u64 {
                    i64::MAX
                } else {
                    *v as i64
                }
            }
        }
    }
    pub fn to_f64(&self) -> f64 {
        self.to_i64() as f64
    }
    pub fn is_zero(&self) -> bool {
        self.to_i64() == 0
    }
    pub fn class_name(&self) -> &'static str {
        match self {
            IntValue::I8(_) => "int8",
            IntValue::I16(_) => "int16",
            IntValue::I32(_) => "int32",
            IntValue::I64(_) => "int64",
            IntValue::U8(_) => "uint8",
            IntValue::U16(_) => "uint16",
            IntValue::U32(_) => "uint32",
            IntValue::U64(_) => "uint64",
        }
    }
}

#[derive(Debug, Clone, PartialEq)]
pub struct StructValue {
    pub fields: IndexMap<String, Value>,
}

impl StructValue {
    pub fn new() -> Self {
        Self {
            fields: IndexMap::new(),
        }
    }

    /// Insert a field, preserving insertion order when the name is new.
    pub fn insert(&mut self, name: impl Into<String>, value: Value) -> Option<Value> {
        self.fields.insert(name.into(), value)
    }

    /// Remove a field while preserving the relative order of remaining fields.
    pub fn remove(&mut self, name: &str) -> Option<Value> {
        self.fields.shift_remove(name)
    }

    /// Returns an iterator over field names in their stored order.
    pub fn field_names(&self) -> impl Iterator<Item = &String> {
        self.fields.keys()
    }
}

impl Default for StructValue {
    fn default() -> Self {
        Self::new()
    }
}

#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub enum NumericDType {
    F64,
    F32,
}

#[derive(Debug, Clone, PartialEq)]
pub struct Tensor {
    pub data: Vec<f64>,
    pub shape: Vec<usize>, // Column-major layout
    pub rows: usize,       // Compatibility for 2D usage
    pub cols: usize,       // Compatibility for 2D usage
    /// Logical numeric class of this tensor; host storage remains f64.
    pub dtype: NumericDType,
}

#[derive(Debug, Clone, PartialEq)]
pub struct ComplexTensor {
    pub data: Vec<(f64, f64)>,
    pub shape: Vec<usize>,
    pub rows: usize,
    pub cols: usize,
}

#[derive(Debug, Clone, PartialEq)]
pub struct StringArray {
    pub data: Vec<String>,
    pub shape: Vec<usize>,
    pub rows: usize,
    pub cols: usize,
}

#[derive(Debug, Clone, PartialEq)]
pub struct LogicalArray {
    pub data: Vec<u8>, // 0 or 1 values; compact bitset can come later
    pub shape: Vec<usize>,
}

impl LogicalArray {
    pub fn new(data: Vec<u8>, shape: Vec<usize>) -> Result<Self, String> {
        let expected: usize = shape.iter().product();
        if data.len() != expected {
            return Err(format!(
                "LogicalArray data length {} doesn't match shape {:?} ({} elements)",
                data.len(),
                shape,
                expected
            ));
        }
        // Normalize to 0/1
        let mut d = data;
        for v in &mut d {
            *v = if *v != 0 { 1 } else { 0 };
        }
        Ok(LogicalArray { data: d, shape })
    }
    pub fn zeros(shape: Vec<usize>) -> Self {
        let expected: usize = shape.iter().product();
        LogicalArray {
            data: vec![0u8; expected],
            shape,
        }
    }
    pub fn len(&self) -> usize {
        self.data.len()
    }
    pub fn is_empty(&self) -> bool {
        self.data.is_empty()
    }
}

#[derive(Debug, Clone, PartialEq)]
pub struct CharArray {
    pub data: Vec<char>,
    pub rows: usize,
    pub cols: usize,
}

impl CharArray {
    pub fn new_row(s: &str) -> Self {
        CharArray {
            data: s.chars().collect(),
            rows: 1,
            cols: s.chars().count(),
        }
    }
    pub fn new(data: Vec<char>, rows: usize, cols: usize) -> Result<Self, String> {
        if rows * cols != data.len() {
            return Err(format!(
                "Char data length {} doesn't match dimensions {}x{}",
                data.len(),
                rows,
                cols
            ));
        }
        Ok(CharArray { data, rows, cols })
    }
}

impl StringArray {
    pub fn new(data: Vec<String>, shape: Vec<usize>) -> Result<Self, String> {
        let expected: usize = shape.iter().product();
        if data.len() != expected {
            return Err(format!(
                "StringArray data length {} doesn't match shape {:?} ({} elements)",
                data.len(),
                shape,
                expected
            ));
        }
        let (rows, cols) = if shape.len() >= 2 {
            (shape[0], shape[1])
        } else if shape.len() == 1 {
            (1, shape[0])
        } else {
            (0, 0)
        };
        Ok(StringArray {
            data,
            shape,
            rows,
            cols,
        })
    }
    pub fn new_2d(data: Vec<String>, rows: usize, cols: usize) -> Result<Self, String> {
        Self::new(data, vec![rows, cols])
    }
    pub fn rows(&self) -> usize {
        self.shape.first().copied().unwrap_or(1)
    }
    pub fn cols(&self) -> usize {
        self.shape.get(1).copied().unwrap_or(1)
    }
}

// GpuTensorHandle now lives in runmat-accel-api

impl Tensor {
    pub fn new(data: Vec<f64>, shape: Vec<usize>) -> Result<Self, String> {
        let expected: usize = shape.iter().product();
        if data.len() != expected {
            return Err(format!(
                "Tensor data length {} doesn't match shape {:?} ({} elements)",
                data.len(),
                shape,
                expected
            ));
        }
        let (rows, cols) = if shape.len() >= 2 {
            (shape[0], shape[1])
        } else if shape.len() == 1 {
            (1, shape[0])
        } else {
            (0, 0)
        };
        Ok(Tensor {
            data,
            shape,
            rows,
            cols,
            dtype: NumericDType::F64,
        })
    }

    pub fn new_2d(data: Vec<f64>, rows: usize, cols: usize) -> Result<Self, String> {
        Self::new(data, vec![rows, cols])
    }

    pub fn from_f32(data: Vec<f32>, shape: Vec<usize>) -> Result<Self, String> {
        let converted: Vec<f64> = data.into_iter().map(|v| v as f64).collect();
        Self::new_with_dtype(converted, shape, NumericDType::F32)
    }

    pub fn from_f32_slice(data: &[f32], shape: &[usize]) -> Result<Self, String> {
        let converted: Vec<f64> = data.iter().map(|&v| v as f64).collect();
        Self::new_with_dtype(converted, shape.to_vec(), NumericDType::F32)
    }

    pub fn new_with_dtype(
        data: Vec<f64>,
        shape: Vec<usize>,
        dtype: NumericDType,
    ) -> Result<Self, String> {
        let mut t = Self::new(data, shape)?;
        t.dtype = dtype;
        Ok(t)
    }

    pub fn zeros(shape: Vec<usize>) -> Self {
        let size: usize = shape.iter().product();
        let (rows, cols) = if shape.len() >= 2 {
            (shape[0], shape[1])
        } else if shape.len() == 1 {
            (1, shape[0])
        } else {
            (0, 0)
        };
        Tensor {
            data: vec![0.0; size],
            shape,
            rows,
            cols,
            dtype: NumericDType::F64,
        }
    }

    pub fn ones(shape: Vec<usize>) -> Self {
        let size: usize = shape.iter().product();
        let (rows, cols) = if shape.len() >= 2 {
            (shape[0], shape[1])
        } else if shape.len() == 1 {
            (1, shape[0])
        } else {
            (0, 0)
        };
        Tensor {
            data: vec![1.0; size],
            shape,
            rows,
            cols,
            dtype: NumericDType::F64,
        }
    }

    // 2D helpers for transitional call sites
    pub fn zeros2(rows: usize, cols: usize) -> Self {
        Self::zeros(vec![rows, cols])
    }
    pub fn ones2(rows: usize, cols: usize) -> Self {
        Self::ones(vec![rows, cols])
    }

    pub fn rows(&self) -> usize {
        self.shape.first().copied().unwrap_or(1)
    }
    pub fn cols(&self) -> usize {
        self.shape.get(1).copied().unwrap_or(1)
    }

    pub fn get2(&self, row: usize, col: usize) -> Result<f64, String> {
        let rows = self.rows();
        let cols = self.cols();
        if row >= rows || col >= cols {
            return Err(format!(
                "Index ({row}, {col}) out of bounds for {rows}x{cols} tensor"
            ));
        }
        // Column-major linearization: lin = row + col*rows
        Ok(self.data[row + col * rows])
    }

    pub fn set2(&mut self, row: usize, col: usize, value: f64) -> Result<(), String> {
        let rows = self.rows();
        let cols = self.cols();
        if row >= rows || col >= cols {
            return Err(format!(
                "Index ({row}, {col}) out of bounds for {rows}x{cols} tensor"
            ));
        }
        // Column-major linearization
        self.data[row + col * rows] = value;
        Ok(())
    }

    pub fn scalar_to_tensor2(scalar: f64, rows: usize, cols: usize) -> Tensor {
        Tensor {
            data: vec![scalar; rows * cols],
            shape: vec![rows, cols],
            rows,
            cols,
            dtype: NumericDType::F64,
        }
    }
    // No-compat constructors: prefer new/new_2d/zeros/zeros2/ones/ones2
}

impl ComplexTensor {
    pub fn new(data: Vec<(f64, f64)>, shape: Vec<usize>) -> Result<Self, String> {
        let expected: usize = shape.iter().product();
        if data.len() != expected {
            return Err(format!(
                "ComplexTensor data length {} doesn't match shape {:?} ({} elements)",
                data.len(),
                shape,
                expected
            ));
        }
        let (rows, cols) = if shape.len() >= 2 {
            (shape[0], shape[1])
        } else if shape.len() == 1 {
            (1, shape[0])
        } else {
            (0, 0)
        };
        Ok(ComplexTensor {
            data,
            shape,
            rows,
            cols,
        })
    }
    pub fn new_2d(data: Vec<(f64, f64)>, rows: usize, cols: usize) -> Result<Self, String> {
        Self::new(data, vec![rows, cols])
    }
    pub fn zeros(shape: Vec<usize>) -> Self {
        let size: usize = shape.iter().product();
        let (rows, cols) = if shape.len() >= 2 {
            (shape[0], shape[1])
        } else if shape.len() == 1 {
            (1, shape[0])
        } else {
            (0, 0)
        };
        ComplexTensor {
            data: vec![(0.0, 0.0); size],
            shape,
            rows,
            cols,
        }
    }
}

const MAX_ND_DISPLAY_ELEMENTS: usize = 4096;

fn should_expand_nd_display(shape: &[usize]) -> bool {
    shape.len() > 2
        && matches!(
            total_len(shape),
            Some(total) if total > 0 && total <= MAX_ND_DISPLAY_ELEMENTS
        )
}

fn column_major_strides(shape: &[usize]) -> Vec<usize> {
    let mut strides = Vec::with_capacity(shape.len());
    let mut stride = 1usize;
    for &dim in shape {
        strides.push(stride);
        stride = stride.saturating_mul(dim);
    }
    strides
}

fn decode_page_coords(mut page_index: usize, page_shape: &[usize]) -> Vec<usize> {
    let mut coords = Vec::with_capacity(page_shape.len());
    for &dim in page_shape {
        if dim == 0 {
            coords.push(0);
        } else {
            coords.push(page_index % dim);
            page_index /= dim;
        }
    }
    coords
}

fn write_nd_pages(
    f: &mut fmt::Formatter<'_>,
    shape: &[usize],
    mut write_element: impl FnMut(&mut fmt::Formatter<'_>, usize) -> fmt::Result,
) -> fmt::Result {
    if shape.len() <= 2 {
        return Ok(());
    }
    let rows = shape[0];
    let cols = shape[1];
    if rows == 0 || cols == 0 {
        return write!(f, "[]");
    }
    let Some(page_count) = total_len(&shape[2..]) else {
        return write!(f, "Tensor(shape={shape:?})");
    };
    if page_count == 0 {
        return write!(f, "[]");
    }
    let strides = column_major_strides(shape);
    for page_index in 0..page_count {
        if page_index > 0 {
            write!(f, "\n\n")?;
        }
        let coords = decode_page_coords(page_index, &shape[2..]);
        write!(f, "(:, :")?;
        for &coord in &coords {
            write!(f, ", {}", coord + 1)?;
        }
        write!(f, ") =")?;

        let mut page_base = 0usize;
        for (offset, &coord) in coords.iter().enumerate() {
            page_base += coord * strides[offset + 2];
        }
        for r in 0..rows {
            writeln!(f)?;
            write!(f, "  ")?;
            for c in 0..cols {
                if c > 0 {
                    write!(f, "  ")?;
                }
                let linear = page_base + r + c * rows;
                write_element(f, linear)?;
            }
        }
    }
    Ok(())
}

impl fmt::Display for Tensor {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        match self.shape.len() {
            0 | 1 => {
                // Treat as row vector for display
                write!(f, "[")?;
                for (i, v) in self.data.iter().enumerate() {
                    if i > 0 {
                        write!(f, " ")?;
                    }
                    write!(f, "{}", format_number_short_g(*v))?;
                }
                write!(f, "]")
            }
            2 => {
                let rows = self.rows();
                let cols = self.cols();
                // Display as matrix
                for r in 0..rows {
                    writeln!(f)?;
                    write!(f, "  ")?; // Indent
                    for c in 0..cols {
                        if c > 0 {
                            write!(f, "  ")?;
                        }
                        let v = self.data[r + c * rows];
                        write!(f, "{}", format_number_short_g(v))?;
                    }
                }
                Ok(())
            }
            _ => {
                if should_expand_nd_display(&self.shape) {
                    write_nd_pages(f, &self.shape, |f, idx| {
                        write!(f, "{}", format_number_short_g(self.data[idx]))
                    })
                } else {
                    write!(f, "Tensor(shape={:?})", self.shape)
                }
            }
        }
    }
}

impl fmt::Display for StringArray {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        let (rows, cols) = match self.shape.len() {
            0 => (0, 0),
            1 => (1, self.shape[0]),
            _ => (self.shape[0], self.shape[1]),
        };
        let count = self.data.len();
        if count == 1 && rows == 1 && cols == 1 {
            let v = &self.data[0];
            if v == "<missing>" {
                return write!(f, "<missing>");
            }
            let escaped = v.replace('"', "\\\"");
            return write!(f, "\"{escaped}\"");
        }
        if self.shape.len() > 2 {
            let dims: Vec<String> = self.shape.iter().map(|d| d.to_string()).collect();
            return write!(f, "{} string array", dims.join("x"));
        }
        write!(f, "{rows}x{cols} string array")?;
        if rows == 0 || cols == 0 {
            return Ok(());
        }
        for r in 0..rows {
            writeln!(f)?;
            write!(f, "  ")?;
            for c in 0..cols {
                if c > 0 {
                    write!(f, "  ")?;
                }
                let v = &self.data[r + c * rows];
                if v == "<missing>" {
                    write!(f, "<missing>")?;
                } else {
                    let escaped = v.replace('"', "\\\"");
                    write!(f, "\"{escaped}\"")?;
                }
            }
        }
        Ok(())
    }
}

impl fmt::Display for LogicalArray {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        if self.data.len() == 1 {
            return write!(f, "{}", if self.data[0] != 0 { 1 } else { 0 });
        }
        match self.shape.len() {
            0 => write!(f, "[]"),
            1 => {
                write!(f, "[")?;
                for (i, v) in self.data.iter().enumerate() {
                    if i > 0 {
                        write!(f, " ")?;
                    }
                    write!(f, "{}", if *v != 0 { 1 } else { 0 })?;
                }
                write!(f, "]")
            }
            2 => {
                let rows = self.shape[0];
                let cols = self.shape[1];
                // Display as matrix
                for r in 0..rows {
                    writeln!(f)?;
                    write!(f, "  ")?; // Indent
                    for c in 0..cols {
                        if c > 0 {
                            write!(f, "  ")?;
                        }
                        let idx = r + c * rows;
                        write!(f, "{}", if self.data[idx] != 0 { 1 } else { 0 })?;
                    }
                }
                Ok(())
            }
            _ => {
                if should_expand_nd_display(&self.shape) {
                    write_nd_pages(f, &self.shape, |f, idx| {
                        write!(f, "{}", if self.data[idx] != 0 { 1 } else { 0 })
                    })
                } else {
                    let dims: Vec<String> = self.shape.iter().map(|d| d.to_string()).collect();
                    write!(f, "{} logical array", dims.join("x"))
                }
            }
        }
    }
}

impl fmt::Display for CharArray {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        for r in 0..self.rows {
            writeln!(f)?;
            write!(f, "  ")?; // Indent
            for c in 0..self.cols {
                let ch = self.data[r * self.cols + c];
                write!(f, "{ch}")?;
            }
        }
        Ok(())
    }
}

// From implementations for Value
impl From<i32> for Value {
    fn from(i: i32) -> Self {
        Value::Int(IntValue::I32(i))
    }
}
impl From<i64> for Value {
    fn from(i: i64) -> Self {
        Value::Int(IntValue::I64(i))
    }
}
impl From<u32> for Value {
    fn from(i: u32) -> Self {
        Value::Int(IntValue::U32(i))
    }
}
impl From<u64> for Value {
    fn from(i: u64) -> Self {
        Value::Int(IntValue::U64(i))
    }
}
impl From<i16> for Value {
    fn from(i: i16) -> Self {
        Value::Int(IntValue::I16(i))
    }
}
impl From<i8> for Value {
    fn from(i: i8) -> Self {
        Value::Int(IntValue::I8(i))
    }
}
impl From<u16> for Value {
    fn from(i: u16) -> Self {
        Value::Int(IntValue::U16(i))
    }
}
impl From<u8> for Value {
    fn from(i: u8) -> Self {
        Value::Int(IntValue::U8(i))
    }
}

impl From<f64> for Value {
    fn from(f: f64) -> Self {
        Value::Num(f)
    }
}

impl From<bool> for Value {
    fn from(b: bool) -> Self {
        Value::Bool(b)
    }
}

impl From<String> for Value {
    fn from(s: String) -> Self {
        Value::String(s)
    }
}

impl From<&str> for Value {
    fn from(s: &str) -> Self {
        Value::String(s.to_string())
    }
}

impl From<Tensor> for Value {
    fn from(m: Tensor) -> Self {
        Value::Tensor(m)
    }
}

// Remove blanket From<Vec<Value>> to avoid losing shape information

// TryFrom implementations for extracting native types
impl TryFrom<&Value> for i32 {
    type Error = String;
    fn try_from(v: &Value) -> Result<Self, Self::Error> {
        match v {
            Value::Int(i) => Ok(i.to_i64() as i32),
            Value::Num(n) => Ok(*n as i32),
            _ => Err(format!("cannot convert {v:?} to i32")),
        }
    }
}

impl TryFrom<&Value> for f64 {
    type Error = String;
    fn try_from(v: &Value) -> Result<Self, Self::Error> {
        match v {
            Value::Num(n) => Ok(*n),
            Value::Int(i) => Ok(i.to_f64()),
            _ => Err(format!("cannot convert {v:?} to f64")),
        }
    }
}

impl TryFrom<&Value> for bool {
    type Error = String;
    fn try_from(v: &Value) -> Result<Self, Self::Error> {
        match v {
            Value::Bool(b) => Ok(*b),
            Value::Int(i) => Ok(!i.is_zero()),
            Value::Num(n) => Ok(*n != 0.0),
            _ => Err(format!("cannot convert {v:?} to bool")),
        }
    }
}

impl TryFrom<&Value> for String {
    type Error = String;
    fn try_from(v: &Value) -> Result<Self, Self::Error> {
        match v {
            Value::String(s) => Ok(s.clone()),
            Value::StringArray(sa) => {
                if sa.data.len() == 1 {
                    Ok(sa.data[0].clone())
                } else {
                    Err("cannot convert string array to scalar string".to_string())
                }
            }
            Value::CharArray(ca) => {
                // Convert full char array to one string if it is a single row; else error
                if ca.rows == 1 {
                    Ok(ca.data.iter().collect())
                } else {
                    Err("cannot convert multi-row char array to scalar string".to_string())
                }
            }
            Value::Int(i) => Ok(i.to_i64().to_string()),
            Value::Num(n) => Ok(n.to_string()),
            Value::Bool(b) => Ok(b.to_string()),
            _ => Err(format!("cannot convert {v:?} to String")),
        }
    }
}

impl TryFrom<&Value> for Tensor {
    type Error = String;
    fn try_from(v: &Value) -> Result<Self, Self::Error> {
        match v {
            Value::Tensor(m) => Ok(m.clone()),
            _ => Err(format!("cannot convert {v:?} to Tensor")),
        }
    }
}

impl TryFrom<&Value> for Value {
    type Error = String;
    fn try_from(v: &Value) -> Result<Self, Self::Error> {
        Ok(v.clone())
    }
}

impl TryFrom<&Value> for Vec<Value> {
    type Error = String;
    fn try_from(v: &Value) -> Result<Self, Self::Error> {
        match v {
            Value::Cell(c) => Ok(c.data.iter().map(|p| (**p).clone()).collect()),
            _ => Err(format!("cannot convert {v:?} to Vec<Value>")),
        }
    }
}

use serde::{Deserialize, Serialize};

/// Enhanced type system used throughout RunMat for HIR and builtin functions
/// Designed to mirror Value variants for better type inference and LSP support
#[derive(Debug, PartialEq, Eq, Clone, Serialize, Deserialize)]
pub enum Type {
    /// Integer number type
    Int,
    /// Floating-point number type  
    Num,
    /// Boolean type
    Bool,
    /// Logical array type (N-D boolean array) with optional shape information
    Logical {
        /// Optional full shape; None means unknown/dynamic; individual dims can be omitted by using None
        shape: Option<Vec<Option<usize>>>,
    },
    /// String type
    String,
    /// Tensor type with optional shape information (column-major semantics in runtime)
    Tensor {
        /// Optional full shape; None means unknown/dynamic; individual dims can be omitted by using None
        shape: Option<Vec<Option<usize>>>,
    },
    /// Cell array type with optional element type information
    Cell {
        /// Optional element type (None means mixed/unknown)
        element_type: Option<Box<Type>>,
        /// Optional length (None means unknown/dynamic)
        length: Option<usize>,
    },
    /// Function type with parameter and return types
    Function {
        /// Parameter types
        params: Vec<Type>,
        /// Return type
        returns: Box<Type>,
    },
    /// Void type (no value)
    Void,
    /// Unknown type (for type inference)
    Unknown,
    /// Union type (multiple possible types)
    Union(Vec<Type>),
    /// Struct-like type with optional known field set (purely for inference)
    Struct {
        /// Optional set of known field names observed via control-flow (None = unknown fields)
        known_fields: Option<Vec<String>>, // kept sorted unique for deterministic Eq
    },
    /// Multiple return values captured as a list (internal destructuring helper)
    OutputList(Vec<Type>),
    /// Dataset handle with optional compile-time schema information
    DataDataset {
        arrays: Option<std::collections::BTreeMap<String, DataArrayTypeInfo>>,
    },
    /// Data array handle with optional dtype/shape metadata
    DataArray {
        dtype: Option<String>,
        shape: Option<Vec<Option<usize>>>,
        chunk_shape: Option<Vec<Option<usize>>>,
        codec: Option<String>,
    },
    /// Data transaction handle
    DataTransaction,
}

#[derive(Debug, PartialEq, Eq, Clone, Serialize, Deserialize)]
pub struct DataArrayTypeInfo {
    pub dtype: Option<String>,
    pub shape: Option<Vec<Option<usize>>>,
    pub chunk_shape: Option<Vec<Option<usize>>>,
    pub codec: Option<String>,
}

impl Type {
    /// Create a tensor type with unknown shape
    pub fn tensor() -> Self {
        Type::Tensor { shape: None }
    }

    /// Create a logical type with unknown shape
    pub fn logical() -> Self {
        Type::Logical { shape: None }
    }

    /// Create a logical type with known shape
    pub fn logical_with_shape(shape: Vec<usize>) -> Self {
        Type::Logical {
            shape: Some(shape.into_iter().map(Some).collect()),
        }
    }

    /// Create a tensor type with known shape
    pub fn tensor_with_shape(shape: Vec<usize>) -> Self {
        Type::Tensor {
            shape: Some(shape.into_iter().map(Some).collect()),
        }
    }

    /// Create a cell array type with unknown element type
    pub fn cell() -> Self {
        Type::Cell {
            element_type: None,
            length: None,
        }
    }

    /// Create a cell array type with known element type
    pub fn cell_of(element_type: Type) -> Self {
        Type::Cell {
            element_type: Some(Box::new(element_type)),
            length: None,
        }
    }

    /// Check if this type is compatible with another type
    pub fn is_compatible_with(&self, other: &Type) -> bool {
        match (self, other) {
            (Type::Unknown, _) | (_, Type::Unknown) => true,
            (Type::Int, Type::Num) | (Type::Num, Type::Int) => true, // Number compatibility
            (Type::Tensor { .. }, Type::Tensor { .. }) => true, // Tensor compatibility regardless of dims for now
            (Type::OutputList(a), Type::OutputList(b)) => a.len() == b.len(),
            (Type::DataDataset { .. }, Type::DataDataset { .. }) => true,
            (Type::DataArray { .. }, Type::DataArray { .. }) => true,
            (Type::DataTransaction, Type::DataTransaction) => true,
            (a, b) => a == b,
        }
    }

    /// Get the most specific common type between two types
    pub fn unify(&self, other: &Type) -> Type {
        match (self, other) {
            (Type::Unknown, t) | (t, Type::Unknown) => t.clone(),
            (Type::Int, Type::Num) | (Type::Num, Type::Int) => Type::Num,
            (Type::Tensor { shape: a }, Type::Tensor { shape: b }) => {
                let a_norm = match a {
                    Some(dims) if dims.is_empty() => None,
                    _ => a.clone(),
                };
                let b_norm = match b {
                    Some(dims) if dims.is_empty() => None,
                    _ => b.clone(),
                };
                let a_unknown = a_norm
                    .as_ref()
                    .map(|dims| dims.iter().all(|d| d.is_none()))
                    .unwrap_or(true);
                let b_unknown = b_norm
                    .as_ref()
                    .map(|dims| dims.iter().all(|d| d.is_none()))
                    .unwrap_or(true);
                if a_norm == b_norm
                    || (!a_unknown && b_unknown)
                    || (a_norm.is_some() && b_norm.is_none())
                {
                    Type::Tensor { shape: a_norm }
                } else if (a_unknown && !b_unknown) || (a_norm.is_none() && b_norm.is_some()) {
                    Type::Tensor { shape: b_norm }
                } else {
                    Type::tensor()
                }
            }
            (Type::Logical { shape: a }, Type::Logical { shape: b }) => {
                let a_norm = match a {
                    Some(dims) if dims.is_empty() => None,
                    _ => a.clone(),
                };
                let b_norm = match b {
                    Some(dims) if dims.is_empty() => None,
                    _ => b.clone(),
                };
                let a_unknown = a_norm
                    .as_ref()
                    .map(|dims| dims.iter().all(|d| d.is_none()))
                    .unwrap_or(true);
                let b_unknown = b_norm
                    .as_ref()
                    .map(|dims| dims.iter().all(|d| d.is_none()))
                    .unwrap_or(true);
                if a_norm == b_norm
                    || (!a_unknown && b_unknown)
                    || (a_norm.is_some() && b_norm.is_none())
                {
                    Type::Logical { shape: a_norm }
                } else if (a_unknown && !b_unknown) || (a_norm.is_none() && b_norm.is_some()) {
                    Type::Logical { shape: b_norm }
                } else {
                    Type::logical()
                }
            }
            (Type::Struct { known_fields: a }, Type::Struct { known_fields: b }) => match (a, b) {
                (None, None) => Type::Struct { known_fields: None },
                (Some(ka), None) | (None, Some(ka)) => Type::Struct {
                    known_fields: Some(ka.clone()),
                },
                (Some(ka), Some(kb)) => {
                    let mut set: std::collections::BTreeSet<String> = ka.iter().cloned().collect();
                    set.extend(kb.iter().cloned());
                    Type::Struct {
                        known_fields: Some(set.into_iter().collect()),
                    }
                }
            },
            (Type::OutputList(a), Type::OutputList(b)) => {
                if a.len() == b.len() {
                    let items = a
                        .iter()
                        .zip(b.iter())
                        .map(|(lhs, rhs)| lhs.unify(rhs))
                        .collect();
                    Type::OutputList(items)
                } else {
                    Type::OutputList(vec![Type::Unknown; a.len().max(b.len())])
                }
            }
            (Type::DataDataset { arrays: a }, Type::DataDataset { arrays: b }) => {
                let merged = match (a, b) {
                    (None, None) => None,
                    (Some(sa), None) | (None, Some(sa)) => Some(sa.clone()),
                    (Some(sa), Some(sb)) => {
                        let mut out = sa.clone();
                        for (name, right) in sb {
                            out.entry(name.clone())
                                .and_modify(|left| {
                                    *left = unify_array_type_info(left, right);
                                })
                                .or_insert_with(|| right.clone());
                        }
                        Some(out)
                    }
                };
                Type::DataDataset { arrays: merged }
            }
            (
                Type::DataArray {
                    dtype: ad,
                    shape: ashp,
                    chunk_shape: ach,
                    codec: ac,
                },
                Type::DataArray {
                    dtype: bd,
                    shape: bshp,
                    chunk_shape: bch,
                    codec: bc,
                },
            ) => Type::DataArray {
                dtype: ad.clone().or_else(|| bd.clone()),
                shape: unify_optional_dims(ashp, bshp),
                chunk_shape: unify_optional_dims(ach, bch),
                codec: ac.clone().or_else(|| bc.clone()),
            },
            (Type::DataTransaction, Type::DataTransaction) => Type::DataTransaction,
            (a, b) if a == b => a.clone(),
            _ => Type::Union(vec![self.clone(), other.clone()]),
        }
    }

    /// Infer type from a Value
    pub fn from_value(value: &Value) -> Type {
        match value {
            Value::Int(_) => Type::Int,
            Value::Num(_) => Type::Num,
            Value::Complex(_, _) => Type::Num, // treat as numeric double (complex) in type system for now
            Value::Bool(_) => Type::Bool,
            Value::LogicalArray(arr) => Type::Logical {
                shape: Some(arr.shape.iter().map(|&d| Some(d)).collect()),
            },
            Value::String(_) => Type::String,
            Value::StringArray(_sa) => {
                // Model as Cell of String for type system for now
                Type::cell_of(Type::String)
            }
            Value::Tensor(t) => Type::Tensor {
                shape: Some(t.shape.iter().map(|&d| Some(d)).collect()),
            },
            Value::ComplexTensor(t) => Type::Tensor {
                shape: Some(t.shape.iter().map(|&d| Some(d)).collect()),
            },
            Value::Cell(cells) => {
                if cells.data.is_empty() {
                    Type::cell()
                } else {
                    // Infer element type from first element
                    let element_type = Type::from_value(&cells.data[0]);
                    Type::Cell {
                        element_type: Some(Box::new(element_type)),
                        length: Some(cells.data.len()),
                    }
                }
            }
            Value::GpuTensor(h) => Type::Tensor {
                shape: Some(h.shape.iter().map(|&d| Some(d)).collect()),
            },
            Value::Object(_) => Type::Unknown,
            Value::HandleObject(_) => Type::Unknown,
            Value::Listener(_) => Type::Unknown,
            Value::Struct(_) => Type::Struct { known_fields: None },
            Value::FunctionHandle(_) => Type::Function {
                params: vec![Type::Unknown],
                returns: Box::new(Type::Unknown),
            },
            Value::Closure(_) => Type::Function {
                params: vec![Type::Unknown],
                returns: Box::new(Type::Unknown),
            },
            Value::ClassRef(_) => Type::Unknown,
            Value::MException(_) => Type::Unknown,
            Value::CharArray(ca) => {
                // Treat as cell of char for type purposes; or a 2-D char matrix conceptually
                Type::Cell {
                    element_type: Some(Box::new(Type::String)),
                    length: Some(ca.rows * ca.cols),
                }
            }
            Value::OutputList(values) => {
                Type::OutputList(values.iter().map(Type::from_value).collect())
            }
        }
    }
}

fn unify_optional_dims(
    lhs: &Option<Vec<Option<usize>>>,
    rhs: &Option<Vec<Option<usize>>>,
) -> Option<Vec<Option<usize>>> {
    match (lhs, rhs) {
        (None, None) => None,
        (Some(a), None) | (None, Some(a)) => Some(a.clone()),
        (Some(a), Some(b)) if a == b => Some(a.clone()),
        (Some(a), Some(b)) if a.len() == b.len() => Some(
            a.iter()
                .zip(b.iter())
                .map(|(x, y)| if x == y { *x } else { None })
                .collect(),
        ),
        (Some(_), Some(_)) => None,
    }
}

fn unify_array_type_info(lhs: &DataArrayTypeInfo, rhs: &DataArrayTypeInfo) -> DataArrayTypeInfo {
    DataArrayTypeInfo {
        dtype: lhs.dtype.clone().or_else(|| rhs.dtype.clone()),
        shape: unify_optional_dims(&lhs.shape, &rhs.shape),
        chunk_shape: unify_optional_dims(&lhs.chunk_shape, &rhs.chunk_shape),
        codec: lhs.codec.clone().or_else(|| rhs.codec.clone()),
    }
}

#[derive(Debug, Clone, PartialEq)]
pub struct Closure {
    pub function_name: String,
    pub captures: Vec<Value>,
}

/// Acceleration metadata describing GPU-friendly characteristics of a builtin.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum AccelTag {
    Unary,
    Elementwise,
    Reduction,
    MatMul,
    Transpose,
    ArrayConstruct,
}

/// Control-flow type for builtins that may suspend or error.
pub type BuiltinControlFlow = runmat_async::RuntimeError;

/// Async result type for builtins.
pub type BuiltinFuture = Pin<Box<dyn Future<Output = Result<Value, BuiltinControlFlow>> + 'static>>;

#[derive(Clone, Debug, Default)]
pub struct ResolveContext {
    pub literal_args: Vec<LiteralValue>,
}

#[derive(Clone, Debug, PartialEq)]
pub enum LiteralValue {
    Number(f64),
    Bool(bool),
    String(String),
    Vector(Vec<LiteralValue>),
    Unknown,
}

impl ResolveContext {
    pub fn new(literal_args: Vec<LiteralValue>) -> Self {
        Self { literal_args }
    }

    pub fn numeric_dims(&self) -> Vec<Option<usize>> {
        self.numeric_dims_from(0)
    }

    pub fn numeric_dims_from(&self, start: usize) -> Vec<Option<usize>> {
        let slice = self.literal_args.get(start..).unwrap_or(&[]);
        if let Some(LiteralValue::Vector(values)) = slice.first() {
            return values
                .iter()
                .map(Self::numeric_dimension_from_literal)
                .collect();
        }
        slice
            .iter()
            .map(Self::numeric_dimension_from_literal)
            .collect()
    }

    pub fn literal_string_at(&self, index: usize) -> Option<String> {
        match self.literal_args.get(index) {
            Some(LiteralValue::String(value)) => Some(value.to_ascii_lowercase()),
            _ => None,
        }
    }

    pub fn literal_bool_at(&self, index: usize) -> Option<bool> {
        match self.literal_args.get(index) {
            Some(LiteralValue::Bool(value)) => Some(*value),
            _ => None,
        }
    }

    pub fn literal_vector_at(&self, index: usize) -> Option<Vec<LiteralValue>> {
        match self.literal_args.get(index) {
            Some(LiteralValue::Vector(values)) => Some(values.clone()),
            _ => None,
        }
    }

    pub fn numeric_vector_at(&self, index: usize) -> Option<Vec<Option<usize>>> {
        let values = match self.literal_args.get(index) {
            Some(LiteralValue::Vector(values)) => values,
            _ => return None,
        };
        if values
            .iter()
            .any(|value| matches!(value, LiteralValue::Vector(_)))
        {
            return None;
        }
        Some(
            values
                .iter()
                .map(Self::numeric_dimension_from_literal)
                .collect(),
        )
    }

    fn numeric_dimension_from_literal(value: &LiteralValue) -> Option<usize> {
        match value {
            LiteralValue::Number(num) => {
                if num.is_finite() {
                    let rounded = num.round();
                    if (num - rounded).abs() <= 1e-9 && rounded >= 0.0 {
                        return Some(rounded as usize);
                    }
                }
                None
            }
            _ => None,
        }
    }
}

#[cfg(test)]
mod resolve_context_tests {
    use super::{LiteralValue, ResolveContext};

    #[test]
    fn numeric_dims_reads_vector_literal() {
        let ctx = ResolveContext::new(vec![LiteralValue::Vector(vec![
            LiteralValue::Number(2.0),
            LiteralValue::Number(3.0),
        ])]);
        assert_eq!(ctx.numeric_dims(), vec![Some(2), Some(3)]);
    }

    #[test]
    fn numeric_dims_skips_non_numeric_entries() {
        let ctx = ResolveContext::new(vec![
            LiteralValue::Number(4.0),
            LiteralValue::String("like".to_string()),
            LiteralValue::Unknown,
        ]);
        assert_eq!(ctx.numeric_dims(), vec![Some(4), None, None]);
    }

    #[test]
    fn numeric_dims_prefers_vector_even_with_trailing_args() {
        let ctx = ResolveContext::new(vec![
            LiteralValue::Vector(vec![LiteralValue::Number(1.0), LiteralValue::Number(5.0)]),
            LiteralValue::String("like".to_string()),
        ]);
        assert_eq!(ctx.numeric_dims(), vec![Some(1), Some(5)]);
    }

    #[test]
    fn literal_string_is_lowercased() {
        let ctx = ResolveContext::new(vec![LiteralValue::String("OmItNaN".to_string())]);
        assert_eq!(ctx.literal_string_at(0), Some("omitnan".to_string()));
    }

    #[test]
    fn literal_bool_is_available() {
        let ctx = ResolveContext::new(vec![LiteralValue::Bool(true)]);
        assert_eq!(ctx.literal_bool_at(0), Some(true));
    }

    #[test]
    fn literal_vector_at_returns_clone() {
        let ctx = ResolveContext::new(vec![LiteralValue::Vector(vec![
            LiteralValue::Number(7.0),
            LiteralValue::Unknown,
        ])]);
        assert_eq!(
            ctx.literal_vector_at(0),
            Some(vec![LiteralValue::Number(7.0), LiteralValue::Unknown])
        );
    }

    #[test]
    fn numeric_vector_at_rejects_nested_vectors() {
        let ctx = ResolveContext::new(vec![LiteralValue::Vector(vec![LiteralValue::Vector(
            vec![LiteralValue::Number(1.0)],
        )])]);
        assert_eq!(ctx.numeric_vector_at(0), None);
    }
}

pub type TypeResolver = fn(args: &[Type]) -> Type;
pub type TypeResolverWithContext = fn(args: &[Type], ctx: &ResolveContext) -> Type;

#[derive(Clone, Copy, Debug)]
pub enum TypeResolverKind {
    Legacy(TypeResolver),
    WithContext(TypeResolverWithContext),
}

pub fn type_resolver_kind(resolver: TypeResolver) -> TypeResolverKind {
    TypeResolverKind::Legacy(resolver)
}

pub fn type_resolver_kind_ctx(resolver: TypeResolverWithContext) -> TypeResolverKind {
    TypeResolverKind::WithContext(resolver)
}

/// Simple builtin function definition using the unified type system
#[derive(Debug, Clone)]
pub struct BuiltinFunction {
    pub name: &'static str,
    pub description: &'static str,
    pub category: &'static str,
    pub doc: &'static str,
    pub examples: &'static str,
    pub param_types: Vec<Type>,
    pub return_type: Type,
    pub type_resolver: Option<TypeResolverKind>,
    pub implementation: fn(&[Value]) -> BuiltinFuture,
    pub accel_tags: &'static [AccelTag],
    pub is_sink: bool,
    pub suppress_auto_output: bool,
}

impl BuiltinFunction {
    #[allow(clippy::too_many_arguments)]
    pub fn new(
        name: &'static str,
        description: &'static str,
        category: &'static str,
        doc: &'static str,
        examples: &'static str,
        param_types: Vec<Type>,
        return_type: Type,
        type_resolver: Option<TypeResolverKind>,
        implementation: fn(&[Value]) -> BuiltinFuture,
        accel_tags: &'static [AccelTag],
        is_sink: bool,
        suppress_auto_output: bool,
    ) -> Self {
        Self {
            name,
            description,
            category,
            doc,
            examples,
            param_types,
            return_type,
            type_resolver,
            implementation,
            accel_tags,
            is_sink,
            suppress_auto_output,
        }
    }

    pub fn infer_return_type(&self, args: &[Type]) -> Type {
        self.infer_return_type_with_context(args, &ResolveContext::default())
    }

    pub fn infer_return_type_with_context(&self, args: &[Type], ctx: &ResolveContext) -> Type {
        if let Some(resolver) = self.type_resolver {
            return match resolver {
                TypeResolverKind::Legacy(resolver) => resolver(args),
                TypeResolverKind::WithContext(resolver) => resolver(args, ctx),
            };
        }
        self.return_type.clone()
    }
}

/// A constant value that can be accessed as a variable
#[derive(Clone)]
pub struct Constant {
    pub name: &'static str,
    pub value: Value,
}

pub mod shape_rules;

impl std::fmt::Debug for Constant {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        write!(
            f,
            "Constant {{ name: {:?}, value: {:?} }}",
            self.name, self.value
        )
    }
}

#[cfg(not(target_arch = "wasm32"))]
inventory::collect!(BuiltinFunction);
#[cfg(not(target_arch = "wasm32"))]
inventory::collect!(Constant);

#[cfg(not(target_arch = "wasm32"))]
pub fn builtin_functions() -> Vec<&'static BuiltinFunction> {
    inventory::iter::<BuiltinFunction>().collect()
}

#[cfg(target_arch = "wasm32")]
pub fn builtin_functions() -> Vec<&'static BuiltinFunction> {
    wasm_registry::builtin_functions()
}

#[cfg(not(target_arch = "wasm32"))]
static BUILTIN_LOOKUP: OnceLock<HashMap<String, &'static BuiltinFunction>> = OnceLock::new();

#[cfg(not(target_arch = "wasm32"))]
fn builtin_lookup_map() -> &'static HashMap<String, &'static BuiltinFunction> {
    BUILTIN_LOOKUP.get_or_init(|| {
        let mut map = HashMap::new();
        for func in builtin_functions() {
            map.insert(func.name.to_ascii_lowercase(), func);
        }
        map
    })
}

#[cfg(not(target_arch = "wasm32"))]
pub fn builtin_function_by_name(name: &str) -> Option<&'static BuiltinFunction> {
    builtin_lookup_map()
        .get(&name.to_ascii_lowercase())
        .copied()
}

#[cfg(target_arch = "wasm32")]
pub fn builtin_function_by_name(name: &str) -> Option<&'static BuiltinFunction> {
    wasm_registry::builtin_functions()
        .into_iter()
        .find(|f| f.name.eq_ignore_ascii_case(name))
}

pub fn suppresses_auto_output(name: &str) -> bool {
    builtin_function_by_name(name)
        .map(|f| f.suppress_auto_output)
        .unwrap_or(false)
}

#[cfg(not(target_arch = "wasm32"))]
pub fn constants() -> Vec<&'static Constant> {
    inventory::iter::<Constant>().collect()
}

#[cfg(target_arch = "wasm32")]
pub fn constants() -> Vec<&'static Constant> {
    wasm_registry::constants()
}

// ----------------------
// Builtin documentation metadata (optional, registered by macros)
// ----------------------

#[derive(Debug)]
pub struct BuiltinDoc {
    pub name: &'static str,
    pub category: Option<&'static str>,
    pub summary: Option<&'static str>,
    pub keywords: Option<&'static str>,
    pub errors: Option<&'static str>,
    pub related: Option<&'static str>,
    pub introduced: Option<&'static str>,
    pub status: Option<&'static str>,
    pub examples: Option<&'static str>,
}

#[cfg(not(target_arch = "wasm32"))]
inventory::collect!(BuiltinDoc);

#[cfg(not(target_arch = "wasm32"))]
pub fn builtin_docs() -> Vec<&'static BuiltinDoc> {
    inventory::iter::<BuiltinDoc>().collect()
}

#[cfg(target_arch = "wasm32")]
pub fn builtin_docs() -> Vec<&'static BuiltinDoc> {
    wasm_registry::builtin_docs()
}

// ----------------------
// Display implementations
// ----------------------

fn format_number_short_g(value: f64) -> String {
    if value.is_nan() {
        return "NaN".to_string();
    }
    if value.is_infinite() {
        return if value.is_sign_negative() {
            "-Inf"
        } else {
            "Inf"
        }
        .to_string();
    }
    // Normalize -0.0 to 0
    let mut v = value;
    if v == 0.0 {
        v = 0.0;
    }

    let abs = v.abs();
    if abs == 0.0 {
        return "0".to_string();
    }

    // Decide between fixed and scientific notation roughly like short g
    let use_scientific = !(1e-4..1e6).contains(&abs);

    if use_scientific {
        // 5 significant digits in scientific notation for short g style
        let s = format!("{v:.4e}");
        // Trim trailing zeros in fraction part
        if let Some(idx) = s.find('e') {
            let (mut mantissa, exp) = s.split_at(idx);
            // mantissa like "-1.23450"
            if let Some(dot_idx) = mantissa.find('.') {
                // Trim trailing zeros
                let mut end = mantissa.len();
                while end > dot_idx + 1 && mantissa.as_bytes()[end - 1] == b'0' {
                    end -= 1;
                }
                if end > 0 && mantissa.as_bytes()[end - 1] == b'.' {
                    end -= 1;
                }
                mantissa = &mantissa[..end];
            }
            return format!("{mantissa}{exp}");
        }
        return s;
    }

    // Fixed notation with up to 12 significant digits, trim trailing zeros
    // Compute number of decimals to retain to reach ~12 significant digits
    let exp10 = abs.log10().floor() as i32; // position of most significant digit
    let sig_digits: i32 = 12;
    let decimals = (sig_digits - 1 - exp10).clamp(0, 12) as usize;
    // Round to that many decimals
    let pow = 10f64.powi(decimals as i32);
    let rounded = (v * pow).round() / pow;
    let mut s = format!("{rounded:.decimals$}");
    if let Some(dot) = s.find('.') {
        // Trim trailing zeros
        let mut end = s.len();
        while end > dot + 1 && s.as_bytes()[end - 1] == b'0' {
            end -= 1;
        }
        if end > 0 && s.as_bytes()[end - 1] == b'.' {
            end -= 1;
        }
        s.truncate(end);
    }
    if s.is_empty() || s == "-0" {
        s = "0".to_string();
    }
    s
}

// -------- Exception type --------
#[derive(Debug, Clone, PartialEq)]
pub struct MException {
    pub identifier: String,
    pub message: String,
    pub stack: Vec<String>,
}

impl MException {
    pub fn new(identifier: String, message: String) -> Self {
        Self {
            identifier,
            message,
            stack: Vec::new(),
        }
    }
}

/// Reference to a GC-allocated object providing language handle semantics
#[derive(Debug, Clone)]
pub struct HandleRef {
    pub class_name: String,
    pub target: GcPtr<Value>,
    pub valid: bool,
}

impl PartialEq for HandleRef {
    fn eq(&self, other: &Self) -> bool {
        let a = unsafe { self.target.as_raw() } as usize;
        let b = unsafe { other.target.as_raw() } as usize;
        a == b
    }
}

/// Event listener handle for events
#[derive(Debug, Clone, PartialEq)]
pub struct Listener {
    pub id: u64,
    pub target: GcPtr<Value>,
    pub event_name: String,
    pub callback: GcPtr<Value>,
    pub enabled: bool,
    pub valid: bool,
}

impl Listener {
    pub fn class_name(&self) -> String {
        match unsafe { &*self.target.as_raw() } {
            Value::Object(o) => o.class_name.clone(),
            Value::HandleObject(h) => h.class_name.clone(),
            _ => String::new(),
        }
    }
}

impl fmt::Display for Value {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        match self {
            Value::Int(i) => write!(f, "{}", i.to_i64()),
            Value::Num(n) => write!(f, "{}", format_number_short_g(*n)),
            Value::Complex(re, im) => {
                if *im == 0.0 {
                    write!(f, "{}", format_number_short_g(*re))
                } else if *re == 0.0 {
                    write!(f, "{}i", format_number_short_g(*im))
                } else if *im < 0.0 {
                    write!(
                        f,
                        "{}-{}i",
                        format_number_short_g(*re),
                        format_number_short_g(im.abs())
                    )
                } else {
                    write!(
                        f,
                        "{}+{}i",
                        format_number_short_g(*re),
                        format_number_short_g(*im)
                    )
                }
            }
            Value::Bool(b) => write!(f, "{}", if *b { 1 } else { 0 }),
            Value::LogicalArray(la) => write!(f, "{la}"),
            Value::String(s) => write!(f, "'{s}'"),
            Value::StringArray(sa) => write!(f, "{sa}"),
            Value::CharArray(ca) => write!(f, "{ca}"),
            Value::Tensor(m) => write!(f, "{m}"),
            Value::ComplexTensor(m) => write!(f, "{m}"),
            Value::Cell(ca) => ca.fmt(f),

            Value::GpuTensor(h) => write!(
                f,
                "GpuTensor(shape={:?}, device={}, buffer={})",
                h.shape, h.device_id, h.buffer_id
            ),
            Value::Object(obj) => write!(f, "{}(props={})", obj.class_name, obj.properties.len()),
            Value::HandleObject(h) => {
                let ptr = unsafe { h.target.as_raw() } as usize;
                write!(
                    f,
                    "<handle {} @0x{:x} valid={}>",
                    h.class_name, ptr, h.valid
                )
            }
            Value::Listener(l) => {
                let ptr = unsafe { l.target.as_raw() } as usize;
                write!(
                    f,
                    "<listener id={} {}@0x{:x} '{}' enabled={} valid={}>",
                    l.id,
                    l.class_name(),
                    ptr,
                    l.event_name,
                    l.enabled,
                    l.valid
                )
            }
            Value::Struct(st) => {
                write!(f, "struct {{")?;
                for (i, (key, val)) in st.fields.iter().enumerate() {
                    if i > 0 {
                        write!(f, ", ")?;
                    }
                    write!(f, "{}: {}", key, val)?;
                }
                write!(f, "}}")
            }
            Value::OutputList(values) => {
                write!(f, "[")?;
                for (i, value) in values.iter().enumerate() {
                    if i > 0 {
                        write!(f, ", ")?;
                    }
                    write!(f, "{}", value)?;
                }
                write!(f, "]")
            }
            Value::FunctionHandle(name) => write!(f, "@{name}"),
            Value::Closure(c) => write!(
                f,
                "<closure {} captures={}>",
                c.function_name,
                c.captures.len()
            ),
            Value::ClassRef(name) => write!(f, "<class {name}>"),
            Value::MException(e) => write!(
                f,
                "MException(identifier='{}', message='{}')",
                e.identifier, e.message
            ),
        }
    }
}

impl fmt::Display for ComplexTensor {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        match self.shape.len() {
            0 | 1 => {
                write!(f, "[")?;
                for (i, (re, im)) in self.data.iter().enumerate() {
                    if i > 0 {
                        write!(f, " ")?;
                    }
                    let s = Value::Complex(*re, *im).to_string();
                    write!(f, "{s}")?;
                }
                write!(f, "]")
            }
            2 => {
                let rows = self.rows;
                let cols = self.cols;
                write!(f, "[")?;
                for r in 0..rows {
                    for c in 0..cols {
                        if c > 0 {
                            write!(f, " ")?;
                        }
                        let (re, im) = self.data[r + c * rows];
                        let s = Value::Complex(re, im).to_string();
                        write!(f, "{s}")?;
                    }
                    if r + 1 < rows {
                        write!(f, "; ")?;
                    }
                }
                write!(f, "]")
            }
            _ => {
                if should_expand_nd_display(&self.shape) {
                    write_nd_pages(f, &self.shape, |f, idx| {
                        let (re, im) = self.data[idx];
                        write!(f, "{}", Value::Complex(re, im))
                    })
                } else {
                    write!(f, "ComplexTensor(shape={:?})", self.shape)
                }
            }
        }
    }
}

#[cfg(test)]
mod display_tests {
    use super::{ComplexTensor, LogicalArray, Tensor};

    #[test]
    fn tensor_nd_display_uses_page_headers() {
        let tensor = Tensor::new(
            vec![1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0],
            vec![2, 3, 2],
        )
        .expect("tensor");
        let rendered = tensor.to_string();
        assert!(rendered.contains("(:, :, 1) ="));
        assert!(rendered.contains("(:, :, 2) ="));
        assert!(rendered.contains("  1  0  0"));
    }

    #[test]
    fn tensor_nd_display_falls_back_for_large_arrays() {
        let tensor = Tensor::new(vec![0.0; 4097], vec![1, 1, 4097]).expect("tensor");
        assert_eq!(tensor.to_string(), "Tensor(shape=[1, 1, 4097])");
    }

    #[test]
    fn logical_nd_display_uses_headers_and_fallback_summary() {
        let logical =
            LogicalArray::new(vec![1, 0, 0, 1, 1, 0, 0, 1], vec![2, 2, 2]).expect("logical");
        let rendered = logical.to_string();
        assert!(rendered.contains("(:, :, 1) ="));
        assert!(rendered.contains("(:, :, 2) ="));

        let large = LogicalArray::new(vec![1; 4097], vec![1, 1, 4097]).expect("large logical");
        assert_eq!(large.to_string(), "1x1x4097 logical array");
    }

    #[test]
    fn complex_nd_display_uses_page_headers() {
        let complex = ComplexTensor::new(
            vec![(1.0, 0.0), (0.0, 1.0), (0.0, 0.0), (1.0, 0.0)],
            vec![2, 1, 2],
        )
        .expect("complex");
        let rendered = complex.to_string();
        assert!(rendered.contains("(:, :, 1) ="));
        assert!(rendered.contains("(:, :, 2) ="));
    }
}

#[derive(Debug, Clone, PartialEq)]
pub struct CellArray {
    pub data: Vec<GcPtr<Value>>,
    /// Full MATLAB-visible shape vector (column-major semantics).
    pub shape: Vec<usize>,
    /// Cached row count for 2-D interop; equals `shape[0]` when present.
    pub rows: usize,
    /// Cached column count for 2-D interop; equals `shape[1]` when present, otherwise 1 (or 0 for empty).
    pub cols: usize,
}

impl CellArray {
    pub fn new_handles(
        handles: Vec<GcPtr<Value>>,
        rows: usize,
        cols: usize,
    ) -> Result<Self, String> {
        Self::new_handles_with_shape(handles, vec![rows, cols])
    }

    pub fn new_handles_with_shape(
        handles: Vec<GcPtr<Value>>,
        shape: Vec<usize>,
    ) -> Result<Self, String> {
        let expected = total_len(&shape)
            .ok_or_else(|| "Cell data shape exceeds platform limits".to_string())?;
        if expected != handles.len() {
            return Err(format!(
                "Cell data length {} doesn't match shape {:?} ({} elements)",
                handles.len(),
                shape,
                expected
            ));
        }
        let (rows, cols) = shape_rows_cols(&shape);
        Ok(CellArray {
            data: handles,
            shape,
            rows,
            cols,
        })
    }

    pub fn new(data: Vec<Value>, rows: usize, cols: usize) -> Result<Self, String> {
        Self::new_with_shape(data, vec![rows, cols])
    }

    pub fn new_with_shape(data: Vec<Value>, shape: Vec<usize>) -> Result<Self, String> {
        let expected = total_len(&shape)
            .ok_or_else(|| "Cell data shape exceeds platform limits".to_string())?;
        if expected != data.len() {
            return Err(format!(
                "Cell data length {} doesn't match shape {:?} ({} elements)",
                data.len(),
                shape,
                expected
            ));
        }
        // Note: data will be allocated into GC handles by callers (runtime/ignition) to avoid builtins↔gc cycles
        let handles: Vec<GcPtr<Value>> = data
            .into_iter()
            .map(|v| unsafe { GcPtr::from_raw(Box::into_raw(Box::new(v))) })
            .collect();
        Self::new_handles_with_shape(handles, shape)
    }

    pub fn get(&self, row: usize, col: usize) -> Result<Value, String> {
        if row >= self.rows || col >= self.cols {
            return Err(format!(
                "Cell index ({row}, {col}) out of bounds for {}x{} cell array",
                self.rows, self.cols
            ));
        }
        Ok((*self.data[row * self.cols + col]).clone())
    }
}

fn total_len(shape: &[usize]) -> Option<usize> {
    if shape.is_empty() {
        return Some(0);
    }
    shape
        .iter()
        .try_fold(1usize, |acc, &dim| acc.checked_mul(dim))
}

fn shape_rows_cols(shape: &[usize]) -> (usize, usize) {
    if shape.is_empty() {
        return (0, 0);
    }
    if shape.len() == 1 {
        return (1, shape[0]);
    }
    (shape[0], shape[1])
}

impl fmt::Display for CellArray {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        let dims: Vec<String> = self.shape.iter().map(|d| d.to_string()).collect();
        if self.shape.len() > 2 {
            return write!(f, "{} cell array", dims.join("x"));
        }
        write!(f, "{}x{} cell array", self.rows, self.cols)?;
        if self.rows == 0 || self.cols == 0 {
            return Ok(());
        }
        for r in 0..self.rows {
            writeln!(f)?;
            write!(f, "  ")?;
            for c in 0..self.cols {
                if c > 0 {
                    write!(f, "  ")?;
                }
                let value = self.get(r, c).unwrap_or_else(|_| Value::Num(f64::NAN));
                write!(f, "{{{value}}}")?;
            }
        }
        Ok(())
    }
}

#[derive(Debug, Clone, PartialEq)]
pub struct ObjectInstance {
    pub class_name: String,
    pub properties: HashMap<String, Value>,
}

impl ObjectInstance {
    pub fn new(class_name: String) -> Self {
        Self {
            class_name,
            properties: HashMap::new(),
        }
    }

    pub fn is_class(&self, name: &str) -> bool {
        self.class_name == name
    }
}

// -------- Class registry (scaffolding) --------
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum Access {
    Public,
    Private,
}

#[derive(Debug, Clone)]
pub struct PropertyDef {
    pub name: String,
    pub is_static: bool,
    pub is_dependent: bool,
    pub get_access: Access,
    pub set_access: Access,
    pub default_value: Option<Value>,
}

#[derive(Debug, Clone)]
pub struct MethodDef {
    pub name: String,
    pub is_static: bool,
    pub access: Access,
    pub function_name: String, // bound runtime builtin/user func name
}

#[derive(Debug, Clone)]
pub struct ClassDef {
    pub name: String, // namespaced e.g. pkg.Point
    pub parent: Option<String>,
    pub properties: HashMap<String, PropertyDef>,
    pub methods: HashMap<String, MethodDef>,
}

use std::sync::Mutex;

static CLASS_REGISTRY: OnceLock<Mutex<HashMap<String, ClassDef>>> = OnceLock::new();
static STATIC_VALUES: OnceLock<Mutex<HashMap<(String, String), Value>>> = OnceLock::new();

fn registry() -> &'static Mutex<HashMap<String, ClassDef>> {
    CLASS_REGISTRY.get_or_init(|| Mutex::new(HashMap::new()))
}

pub fn register_class(def: ClassDef) {
    let mut m = registry().lock().unwrap();
    m.insert(def.name.clone(), def);
}

pub fn get_class(name: &str) -> Option<ClassDef> {
    registry().lock().unwrap().get(name).cloned()
}

/// Resolve a property through the inheritance chain, returning the property definition and
/// the name of the class where it was defined.
pub fn lookup_property(class_name: &str, prop: &str) -> Option<(PropertyDef, String)> {
    let reg = registry().lock().unwrap();
    let mut current = Some(class_name.to_string());
    let guard: Option<std::sync::MutexGuard<'_, std::collections::HashMap<String, ClassDef>>> =
        None;
    drop(guard);
    while let Some(name) = current {
        if let Some(cls) = reg.get(&name) {
            if let Some(p) = cls.properties.get(prop) {
                return Some((p.clone(), name));
            }
            current = cls.parent.clone();
        } else {
            break;
        }
    }
    None
}

/// Resolve a method through the inheritance chain, returning the method definition and
/// the name of the class where it was defined.
pub fn lookup_method(class_name: &str, method: &str) -> Option<(MethodDef, String)> {
    let reg = registry().lock().unwrap();
    let mut current = Some(class_name.to_string());
    while let Some(name) = current {
        if let Some(cls) = reg.get(&name) {
            if let Some(m) = cls.methods.get(method) {
                return Some((m.clone(), name));
            }
            current = cls.parent.clone();
        } else {
            break;
        }
    }
    None
}

fn static_values() -> &'static Mutex<HashMap<(String, String), Value>> {
    STATIC_VALUES.get_or_init(|| Mutex::new(HashMap::new()))
}

pub fn get_static_property_value(class_name: &str, prop: &str) -> Option<Value> {
    static_values()
        .lock()
        .unwrap()
        .get(&(class_name.to_string(), prop.to_string()))
        .cloned()
}

pub fn set_static_property_value(class_name: &str, prop: &str, value: Value) {
    static_values()
        .lock()
        .unwrap()
        .insert((class_name.to_string(), prop.to_string()), value);
}

/// Set a static property, resolving the defining ancestor class for storage.
pub fn set_static_property_value_in_owner(
    class_name: &str,
    prop: &str,
    value: Value,
) -> Result<(), String> {
    if let Some((_p, owner)) = lookup_property(class_name, prop) {
        set_static_property_value(&owner, prop, value);
        Ok(())
    } else {
        Err(format!("Unknown static property '{class_name}.{prop}'"))
    }
}