using System;
using System.Collections;
using System.Collections.Generic;
using System.Numerics;
using System.Text;

namespace Tensorflow.NumPy
{
    public partial class np
    {
        /// <summary>
        ///     A convenient alias for None, useful for indexing arrays.
        /// </summary>
        /// <remarks>https://docs.scipy.org/doc/numpy-1.17.0/reference/arrays.indexing.html<br></br><br></br>https://stackoverflow.com/questions/42190783/what-does-three-dots-in-python-mean-when-indexing-what-looks-like-a-number</remarks>
        public static readonly Slice newaxis = new Slice(null, null, 1) { IsNewAxis = true };

        // https://docs.scipy.org/doc/numpy-1.16.0/user/basics.types.html
        #region data type
        public static readonly TF_DataType @bool = TF_DataType.TF_BOOL;
        public static readonly TF_DataType @char = TF_DataType.TF_INT8;
        public static readonly TF_DataType @byte = TF_DataType.TF_INT8;
        public static readonly TF_DataType uint8 = TF_DataType.TF_UINT8;
        public static readonly TF_DataType ubyte = TF_DataType.TF_UINT8;
        public static readonly TF_DataType int16 = TF_DataType.TF_INT16;
        public static readonly TF_DataType uint16 = TF_DataType.TF_UINT16;
        public static readonly TF_DataType int32 = TF_DataType.TF_INT32;
        public static readonly TF_DataType uint32 = TF_DataType.TF_UINT32;
        public static readonly TF_DataType int64 = TF_DataType.TF_INT64;
        public static readonly TF_DataType uint64 = TF_DataType.TF_UINT64;
        public static readonly TF_DataType float32 = TF_DataType.TF_FLOAT;
        public static readonly TF_DataType float64 = TF_DataType.TF_DOUBLE;
        public static readonly TF_DataType @double = TF_DataType.TF_DOUBLE;
        public static readonly TF_DataType @decimal = TF_DataType.TF_DOUBLE;
        public static readonly TF_DataType complex_ = TF_DataType.TF_COMPLEX;
        public static readonly TF_DataType complex64 = TF_DataType.TF_COMPLEX64;
        public static readonly TF_DataType complex128 = TF_DataType.TF_COMPLEX128; 
        #endregion

        public static double nan => double.NaN;
        public static double NAN => double.NaN;
        public static double NaN => double.NaN;
        public static double pi => Math.PI;
        public static double e => Math.E;
        public static double euler_gamma => 0.57721566490153286060651209008240243d;
        public static double inf => double.PositiveInfinity;
        public static double infty => double.PositiveInfinity;
        public static double Inf => double.PositiveInfinity;
        public static double NINF => double.NegativeInfinity;
        public static double PINF => double.PositiveInfinity;
        public static double Infinity => double.PositiveInfinity;
        public static double infinity => double.PositiveInfinity;

        public static bool array_equal(NDArray a, NDArray b)
            => a.Equals(b);

        public static NDArray concatenate(NDArray[] arrays, int axis = 0) 
            => throw new NotImplementedException("");

        public static NDArray frombuffer(byte[] bytes, string dtype)
            => throw new NotImplementedException("");

        public static bool allclose(NDArray a, NDArray b, double rtol = 1.0E-5, double atol = 1.0E-8,
            bool equal_nan = false) => throw new NotImplementedException("");

        public static class random
        {
            public static NDArray permutation(int x)
            {
                throw new NotImplementedException("");
            }

            public static void shuffle(NDArray nd)
            {

            }

            public static NDArray rand(params int[] shape)
                => throw new NotImplementedException("");

            public static NDArray randint(long x)
                => throw new NotImplementedException("");

            public static NDArray RandomState(int x)
                => throw new NotImplementedException("");
        }

        public static NpzDictionary<T> Load_Npz<T>(byte[] bytes)
            where T : class, IList, ICloneable, ICollection, IEnumerable, IStructuralComparable, IStructuralEquatable
        {
            throw new NotImplementedException("");
        }
    }
}