// <copyright file="CreateVector.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://numerics.mathdotnet.com
// http://github.com/mathnet/mathnet-numerics
//
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using System;
using System.Collections.Generic;
using IStation.Numerics.Distributions;
using IStation.Numerics.LinearAlgebra.Storage;

namespace IStation.Numerics.LinearAlgebra
{
    public static class CreateVector
    {
        /// <summary>
        /// Create a new vector straight from an initialized matrix storage instance.
        /// If you have an instance of a discrete storage type instead, use their direct methods instead.
        /// </summary>
        public static Vector<T> WithStorage<T>(VectorStorage<T> storage)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.OfStorage(storage);
        }

        /// <summary>
        /// Create a new vector with the same kind of the provided example.
        /// </summary>
        public static Vector<T> SameAs<T,TU>(Vector<TU> example, int length)
            where T : struct, IEquatable<T>, IFormattable
            where TU : struct, IEquatable<TU>, IFormattable
        {
            return Vector<T>.Build.SameAs(example, length);
        }

        /// <summary>
        /// Create a new vector with the same kind and dimension of the provided example.
        /// </summary>
        public static Vector<T> SameAs<T,TU>(Vector<TU> example)
            where T : struct, IEquatable<T>, IFormattable
            where TU : struct, IEquatable<TU>, IFormattable
        {
            return Vector<T>.Build.SameAs(example);
        }

        /// <summary>
        /// Create a new vector with the same kind of the provided example.
        /// </summary>
        public static  Vector<T> SameAs<T,TU>(Matrix<TU> example, int length)
            where T : struct, IEquatable<T>, IFormattable
            where TU : struct, IEquatable<TU>, IFormattable
        {
            return Vector<T>.Build.SameAs(example, length);
        }

        /// <summary>
        /// Create a new vector with a type that can represent and is closest to both provided samples.
        /// </summary>
        public static Vector<T> SameAs<T>(Vector<T> example, Vector<T> otherExample, int length)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.SameAs(example, otherExample, length);
        }

        /// <summary>
        /// Create a new vector with a type that can represent and is closest to both provided samples and the dimensions of example.
        /// </summary>
        public static Vector<T> SameAs<T>(Vector<T> example, Vector<T> otherExample)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.SameAs(example, otherExample);
        }

        /// <summary>
        /// Create a new vector with a type that can represent and is closest to both provided samples.
        /// </summary>
        public static Vector<T> SameAs<T>(Matrix<T> matrix, Vector<T> vector, int length)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.SameAs(matrix, vector, length);
        }

        /// <summary>
        /// Create a new dense vector with values sampled from the provided random distribution.
        /// </summary>
        public static Vector<T> Random<T>(int length, IContinuousDistribution distribution)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.Random(length, distribution);
        }

        /// <summary>
        /// Create a new dense vector with values sampled from the standard distribution with a system random source.
        /// </summary>
        public static Vector<T> Random<T>(int length)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.Random(length);
        }

        /// <summary>
        /// Create a new dense vector with values sampled from the standard distribution with a system random source.
        /// </summary>
        public static Vector<T> Random<T>(int length, int seed)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.Random(length, seed);
        }

        /// <summary>
        /// Create a new dense vector straight from an initialized vector storage instance.
        /// The storage is used directly without copying.
        /// Intended for advanced scenarios where you're working directly with
        /// storage for performance or interop reasons.
        /// </summary>
        public static Vector<T> Dense<T>(DenseVectorStorage<T> storage)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.Dense(storage);
        }

        /// <summary>
        /// Create a dense vector of T with the given size.
        /// </summary>
        /// <param name="size">The size of the vector.</param>
        public static Vector<T> Dense<T>(int size)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.Dense(size);
        }

        /// <summary>
        /// Create a dense vector of T that is directly bound to the specified array.
        /// </summary>
        public static Vector<T> Dense<T>(T[] array)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.Dense(array);
        }

        /// <summary>
        /// Create a new dense vector and initialize each value using the provided value.
        /// </summary>
        public static Vector<T> Dense<T>(int length, T value)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.Dense(length, value);
        }

        /// <summary>
        /// Create a new dense vector and initialize each value using the provided init function.
        /// </summary>
        public static Vector<T> Dense<T>(int length, Func<int, T> init)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.Dense(length, init);
        }

        /// <summary>
        /// Create a new dense vector as a copy of the given other vector.
        /// This new vector will be independent from the other vector.
        /// A new memory block will be allocated for storing the vector.
        /// </summary>
        public static Vector<T> DenseOfVector<T>(Vector<T> vector)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.DenseOfVector(vector);
        }

        /// <summary>
        /// Create a new dense vector as a copy of the given array.
        /// This new vector will be independent from the array.
        /// A new memory block will be allocated for storing the vector.
        /// </summary>
        public static Vector<T> DenseOfArray<T>(T[] array)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.DenseOfArray(array);
        }

        /// <summary>
        /// Create a new dense vector as a copy of the given enumerable.
        /// This new vector will be independent from the enumerable.
        /// A new memory block will be allocated for storing the vector.
        /// </summary>
        public static Vector<T> DenseOfEnumerable<T>(IEnumerable<T> enumerable)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.DenseOfEnumerable(enumerable);
        }

        /// <summary>
        /// Create a new dense vector as a copy of the given indexed enumerable.
        /// Keys must be provided at most once, zero is assumed if a key is omitted.
        /// This new vector will be independent from the enumerable.
        /// A new memory block will be allocated for storing the vector.
        /// </summary>
        public static Vector<T> DenseOfIndexed<T>(int length, IEnumerable<Tuple<int, T>> enumerable)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.DenseOfIndexed(length, enumerable);
        }

        /// <summary>
        /// Create a new sparse vector straight from an initialized vector storage instance.
        /// The storage is used directly without copying.
        /// Intended for advanced scenarios where you're working directly with
        /// storage for performance or interop reasons.
        /// </summary>
        public static Vector<T> Sparse<T>(SparseVectorStorage<T> storage)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.Sparse(storage);
        }

        /// <summary>
        /// Create a sparse vector of T with the given size.
        /// </summary>
        /// <param name="size">The size of the vector.</param>
        public static Vector<T> Sparse<T>(int size)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.Sparse(size);
        }

        /// <summary>
        /// Create a new sparse vector and initialize each value using the provided value.
        /// </summary>
        public static Vector<T> Sparse<T>(int length, T value)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.Sparse(length, value);
        }

        /// <summary>
        /// Create a new sparse vector and initialize each value using the provided init function.
        /// </summary>
        public static Vector<T> Sparse<T>(int length, Func<int, T> init)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.Sparse(length, init);
        }

        /// <summary>
        /// Create a new sparse vector as a copy of the given other vector.
        /// This new vector will be independent from the other vector.
        /// A new memory block will be allocated for storing the vector.
        /// </summary>
        public static Vector<T> SparseOfVector<T>(Vector<T> vector)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.SparseOfVector(vector);
        }

        /// <summary>
        /// Create a new sparse vector as a copy of the given array.
        /// This new vector will be independent from the array.
        /// A new memory block will be allocated for storing the vector.
        /// </summary>
        public static Vector<T> SparseOfArray<T>(T[] array)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.SparseOfArray(array);
        }

        /// <summary>
        /// Create a new sparse vector as a copy of the given enumerable.
        /// This new vector will be independent from the enumerable.
        /// A new memory block will be allocated for storing the vector.
        /// </summary>
        public static Vector<T> SparseOfEnumerable<T>(IEnumerable<T> enumerable)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.SparseOfEnumerable(enumerable);
        }

        /// <summary>
        /// Create a new sparse vector as a copy of the given indexed enumerable.
        /// Keys must be provided at most once, zero is assumed if a key is omitted.
        /// This new vector will be independent from the enumerable.
        /// A new memory block will be allocated for storing the vector.
        /// </summary>
        public static Vector<T> SparseOfIndexed<T>(int length, IEnumerable<Tuple<int, T>> enumerable)
            where T : struct, IEquatable<T>, IFormattable
        {
            return Vector<T>.Build.SparseOfIndexed(length, enumerable);
        }
    }
}