"""
Oven Language Core Operations

This module provides the core operations for GPU computing and mathematical functions
that can be compiled to MLIR.
"""


# Type hints for MLIR compilation
class ptr:
    """Pointer type for MLIR compilation (!llvm.ptr)."""

    pass


class f32:
    """32-bit floating point type (f32)."""

    pass


class i32:
    """32-bit integer type (i32)."""

    pass


class index:
    """Index type for MLIR (index)."""

    pass


# GPU Memory Operations
def load(ptr, offset):
    """
    Load a value from GPU memory at the specified offset.

    Args:
        ptr: Memory pointer
        offset: Offset index

    Returns:
        Loaded value
    """
    # This function is a placeholder - actual implementation happens during MLIR compilation
    raise NotImplementedError("This function is compiled to MLIR operations")


def store(value, ptr, offset):
    """
    Store a value to GPU memory at the specified offset.

    Args:
        value: Value to store
        ptr: Memory pointer
        offset: Offset index
    """
    # This function is a placeholder - actual implementation happens during MLIR compilation
    raise NotImplementedError("This function is compiled to MLIR operations")


def vload(ptr, offset):
    """
    Vectorized load operation from GPU memory.

    Loads a vector of values from GPU memory at the specified offset.
    The size parameter determines the vector width and is used as an attribute.

    Args:
        ptr: Memory pointer (!llvm.ptr)
        offset: Offset index (i32)

    Returns:
        Vector of loaded values (vector<SIZExf32>)

    MLIR equivalent:
        %result = oven.vload %ptr, %offset, SIZE : (!llvm.ptr, i32) -> vector<SIZExf32>
    """
    # This function is a placeholder - actual implementation happens during MLIR compilation
    raise NotImplementedError("This function is compiled to MLIR operations")


def vstore(vector, ptr, offset):
    """
    Vectorized store operation to GPU memory.

    Stores a vector of values to GPU memory at the specified offset.
    The size parameter determines the vector width and is used as an attribute.

    Args:
        vector: Vector value to store (vector<SIZExf32>)
        ptr: Memory pointer (!llvm.ptr)
        offset: Offset index (i32)

    MLIR equivalent:
        oven.vstore %vector, %ptr, %offset, SIZE : (vector<SIZExf32>, !llvm.ptr, i32)
    """
    # This function is a placeholder - actual implementation happens during MLIR compilation
    raise NotImplementedError("This function is compiled to MLIR operations")


# GPU Thread and Block Operations
def get_tid_x():
    """Get the current thread ID in the X dimension."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def get_tid_y():
    """Get the current thread ID in the Y dimension."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def get_tid_z():
    """Get the current thread ID in the Z dimension."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def get_bid_x():
    """Get the current block ID in the X dimension."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def get_bid_y():
    """Get the current block ID in the Y dimension."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def get_bid_z():
    """Get the current block ID in the Z dimension."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def get_bdim_x():
    """Get the block dimension in the X dimension."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def get_bdim_y():
    """Get the block dimension in the Y dimension."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def get_bdim_z():
    """Get the block dimension in the Z dimension."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def smem():
    """
    Allocate shared memory for GPU computations.

    Returns:
        Shared memory pointer (!llvm.ptr<3>)
    """
    raise NotImplementedError("This function is compiled to MLIR operations")


def barrier():
    """
    Synchronization barrier for GPU threads.
    Ensures all threads in a block reach this point before continuing.
    """
    raise NotImplementedError("This function is compiled to MLIR operations")


# Mathematical Operations
def exp(x):
    """
    Compute the exponential function e^x.

    Args:
        x: Input value

    Returns:
        e^x
    """
    raise NotImplementedError("This function is compiled to MLIR operations")


def exp2(x):
    """
    Compute the base-2 exponential function 2^x.

    Args:
        x: Input value

    Returns:
        2^x
    """
    raise NotImplementedError("This function is compiled to MLIR operations")


def sigmoid(x):
    """
    Compute the sigmoid function 1 / (1 + e^(-x)).

    Args:
        x: Input value

    Returns:
        sigmoid(x)
    """
    raise NotImplementedError("This function is compiled to MLIR operations")


def sin(x):
    """Compute the sine function."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def cos(x):
    """Compute the cosine function."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def tan(x):
    """Compute the tangent function."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def sqrt(x):
    """Compute the square root function."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def log(x):
    """Compute the natural logarithm function."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def log2(x):
    """Compute the base-2 logarithm function."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def abs(x):
    """Compute the absolute value."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def ceil(x):
    """Compute the ceiling function (smallest integer >= x)."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def floor(x):
    """Compute the floor function (largest integer <= x)."""
    raise NotImplementedError("This function is compiled to MLIR operations")


def rsqrt(x):
    """Compute the reciprocal square root (1/sqrt(x))."""
    raise NotImplementedError("This function is compiled to MLIR operations")
