from collections.abc import Sequence
import ctypes
from pathlib import Path
from itertools import chain

import numpy
from numpy.typing import NDArray

from .klamath_rs_ext import lib, ffi


CONV_TABLE_i16 = {
    numpy.float64: lib.f64_to_i16,
    numpy.float32: lib.f32_to_i16,
    numpy.int64: lib.i64_to_i16,
    numpy.int32: lib.i32_to_i16,
    numpy.int16: lib.i16_to_i16,
    numpy.uint64: lib.u64_to_i16,
    numpy.uint32: lib.u32_to_i16,
    numpy.uint16: lib.u16_to_i16,
    }

CONV_TABLE_i32 = {
    numpy.float64: lib.f64_to_i32,
    numpy.float32: lib.f32_to_i32,
    numpy.int64: lib.i64_to_i32,
    numpy.int32: lib.i32_to_i32,
    numpy.uint64: lib.u64_to_i32,
    numpy.uint32: lib.u32_to_i32,
    }



def pack_int2(data: NDArray[numpy.integer] | Sequence[int] | int) -> bytes:
    arr = numpy.asarray(data)

    for dtype in CONV_TABLE_i16.keys():
        if arr.dtype != dtype:
            continue

        arr = numpy.require(arr, requirements=('C_CONTIGUOUS', 'ALIGNED', 'WRITEABLE', 'OWNDATA'))
        if arr is data:
            arr = numpy.array(arr, copy=True)

        fn = CONV_TABLE_i16[dtype]
        result = fn(ffi.from_buffer(arr), arr.size)

        if result != 0:
            raise ValueError(f'Invalid value for conversion to Int2: {result}')

        i2arr = arr.view('>i2')[::arr.itemsize // 2]
        return i2arr.tobytes()

    if arr.dtype == numpy.dtype('>i2'):
        return arr.tobytes()

    if (arr > 32767).any() or (arr < -32768).any():
        raise Exception(f'int2 data out of range: {arr}')

    return arr.astype('>i2').tobytes()


def pack_int4(data: NDArray[numpy.integer] | Sequence[int] | int) -> bytes:
    arr = numpy.asarray(data)

    for dtype in CONV_TABLE_i32.keys():
        if arr.dtype != dtype:
            continue

        arr = numpy.require(arr, requirements=('C_CONTIGUOUS', 'ALIGNED', 'WRITEABLE', 'OWNDATA'))
        if arr is data:
            arr = numpy.array(arr, copy=True)

        fn = CONV_TABLE_i32[dtype]
        result = fn(ffi.from_buffer(arr), arr.size)

        if result != 0:
            raise ValueError(f'Invalid value for conversion to Int4: {result}')

        i4arr = arr.view('>i4')[::arr.itemsize // 4]
        return i4arr.tobytes()

    if arr.dtype == numpy.dtype('>i4'):
        return arr.tobytes()

    if (arr > 2147483647).any() or (arr < -2147483648).any():
        raise Exception(f'int4 data out of range: {arr}')

    return arr.astype('>i4').tobytes()