// <copyright file="SparseVector.cs" company="Math.NET">
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// Math.NET Numerics, part of the Math.NET Project
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// http://numerics.mathdotnet.com
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// http://github.com/mathnet/mathnet-numerics
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//
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// Copyright (c) 2009-2015 Math.NET
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//
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// Permission is hereby granted, free of charge, to any person
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// obtaining a copy of this software and associated documentation
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// files (the "Software"), to deal in the Software without
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// restriction, including without limitation the rights to use,
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// copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the
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// Software is furnished to do so, subject to the following
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// conditions:
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//
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// The above copyright notice and this permission notice shall be
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// included in all copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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// OTHER DEALINGS IN THE SOFTWARE.
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// </copyright>
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using System;
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using System.Collections.Generic;
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using System.Diagnostics;
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using IStation.Numerics.LinearAlgebra.Storage;
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using IStation.Numerics.Providers.LinearAlgebra;
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using IStation.Numerics.Threading;
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namespace IStation.Numerics.LinearAlgebra.Complex32
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{
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using Numerics;
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/// <summary>
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/// A vector with sparse storage, intended for very large vectors where most of the cells are zero.
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/// </summary>
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/// <remarks>The sparse vector is not thread safe.</remarks>
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[Serializable]
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[DebuggerDisplay("SparseVector {Count}-Complex32 {NonZerosCount}-NonZero")]
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public class SparseVector : Vector
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{
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readonly SparseVectorStorage<Complex32> _storage;
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/// <summary>
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/// Gets the number of non zero elements in the vector.
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/// </summary>
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/// <value>The number of non zero elements.</value>
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public int NonZerosCount => _storage.ValueCount;
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/// <summary>
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/// Create a new sparse vector straight from an initialized vector storage instance.
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/// The storage is used directly without copying.
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/// Intended for advanced scenarios where you're working directly with
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/// storage for performance or interop reasons.
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/// </summary>
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public SparseVector(SparseVectorStorage<Complex32> storage)
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: base(storage)
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{
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_storage = storage;
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}
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/// <summary>
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/// Create a new sparse vector with the given length.
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/// All cells of the vector will be initialized to zero.
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/// </summary>
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/// <exception cref="ArgumentException">If length is less than one.</exception>
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public SparseVector(int length)
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: this(new SparseVectorStorage<Complex32>(length))
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{
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}
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/// <summary>
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/// Create a new sparse vector as a copy of the given other vector.
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/// This new vector will be independent from the other vector.
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/// A new memory block will be allocated for storing the vector.
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/// </summary>
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public static SparseVector OfVector(Vector<Complex32> vector)
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{
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return new SparseVector(SparseVectorStorage<Complex32>.OfVector(vector.Storage));
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}
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/// <summary>
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/// Create a new sparse vector as a copy of the given enumerable.
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/// This new vector will be independent from the enumerable.
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/// A new memory block will be allocated for storing the vector.
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/// </summary>
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public static SparseVector OfEnumerable(IEnumerable<Complex32> enumerable)
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{
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return new SparseVector(SparseVectorStorage<Complex32>.OfEnumerable(enumerable));
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}
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/// <summary>
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/// Create a new sparse vector as a copy of the given indexed enumerable.
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/// Keys must be provided at most once, zero is assumed if a key is omitted.
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/// This new vector will be independent from the enumerable.
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/// A new memory block will be allocated for storing the vector.
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/// </summary>
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public static SparseVector OfIndexedEnumerable(int length, IEnumerable<Tuple<int, Complex32>> enumerable)
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{
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return new SparseVector(SparseVectorStorage<Complex32>.OfIndexedEnumerable(length, enumerable));
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}
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/// <summary>
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/// Create a new sparse vector and initialize each value using the provided value.
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/// </summary>
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public static SparseVector Create(int length, Complex32 value)
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{
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return new SparseVector(SparseVectorStorage<Complex32>.OfValue(length, value));
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}
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/// <summary>
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/// Create a new sparse vector and initialize each value using the provided init function.
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/// </summary>
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public static SparseVector Create(int length, Func<int, Complex32> init)
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{
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return new SparseVector(SparseVectorStorage<Complex32>.OfInit(length, init));
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}
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/// <summary>
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/// Adds a scalar to each element of the vector and stores the result in the result vector.
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/// Warning, the new 'sparse vector' with a non-zero scalar added to it will be a 100% filled
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/// sparse vector and very inefficient. Would be better to work with a dense vector instead.
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/// </summary>
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/// <param name="scalar">
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/// The scalar to add.
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/// </param>
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/// <param name="result">
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/// The vector to store the result of the addition.
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/// </param>
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protected override void DoAdd(Complex32 scalar, Vector<Complex32> result)
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{
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if (scalar == Complex32.Zero)
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{
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if (!ReferenceEquals(this, result))
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{
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CopyTo(result);
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}
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return;
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}
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if (ReferenceEquals(this, result))
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{
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//populate a new vector with the scalar
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var vnonZeroValues = new Complex32[Count];
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var vnonZeroIndices = new int[Count];
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for (int index = 0; index < Count; index++)
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{
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vnonZeroIndices[index] = index;
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vnonZeroValues[index] = scalar;
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}
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//populate the non zero values from this
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var indices = _storage.Indices;
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var values = _storage.Values;
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for (int j = 0; j < _storage.ValueCount; j++)
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{
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vnonZeroValues[indices[j]] = values[j] + scalar;
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}
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//assign this vectors array to the new arrays.
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_storage.Values = vnonZeroValues;
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_storage.Indices = vnonZeroIndices;
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_storage.ValueCount = Count;
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}
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else
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{
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for (var index = 0; index < Count; index++)
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{
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result.At(index, At(index) + scalar);
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}
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}
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}
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/// <summary>
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/// Adds another vector to this vector and stores the result into the result vector.
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/// </summary>
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/// <param name="other">
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/// The vector to add to this one.
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/// </param>
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/// <param name="result">
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/// The vector to store the result of the addition.
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/// </param>
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protected override void DoAdd(Vector<Complex32> other, Vector<Complex32> result)
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{
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if (other is SparseVector otherSparse && result is SparseVector resultSparse)
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{
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// TODO (ruegg, 2011-10-11): Options to optimize?
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var otherStorage = otherSparse._storage;
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if (ReferenceEquals(this, resultSparse))
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{
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int i = 0, j = 0;
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while (j < otherStorage.ValueCount)
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{
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if (i >= _storage.ValueCount || _storage.Indices[i] > otherStorage.Indices[j])
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{
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var otherValue = otherStorage.Values[j];
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if (!Complex32.Zero.Equals(otherValue))
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{
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_storage.InsertAtIndexUnchecked(i++, otherStorage.Indices[j], otherValue);
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}
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j++;
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}
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else if (_storage.Indices[i] == otherStorage.Indices[j])
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{
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// TODO: result can be zero, remove?
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_storage.Values[i++] += otherStorage.Values[j++];
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}
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else
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{
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i++;
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}
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}
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}
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else
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{
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result.Clear();
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int i = 0, j = 0, last = -1;
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while (i < _storage.ValueCount || j < otherStorage.ValueCount)
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{
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if (j >= otherStorage.ValueCount || i < _storage.ValueCount && _storage.Indices[i] <= otherStorage.Indices[j])
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{
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var next = _storage.Indices[i];
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if (next != last)
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{
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last = next;
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result.At(next, _storage.Values[i] + otherSparse.At(next));
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}
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i++;
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}
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else
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{
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var next = otherStorage.Indices[j];
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if (next != last)
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{
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last = next;
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result.At(next, At(next) + otherStorage.Values[j]);
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}
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j++;
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}
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}
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}
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}
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else
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{
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base.DoAdd(other, result);
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}
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}
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/// <summary>
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/// Subtracts a scalar from each element of the vector and stores the result in the result vector.
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/// </summary>
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/// <param name="scalar">
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/// The scalar to subtract.
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/// </param>
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/// <param name="result">
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/// The vector to store the result of the subtraction.
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/// </param>
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protected override void DoSubtract(Complex32 scalar, Vector<Complex32> result)
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{
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DoAdd(-scalar, result);
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}
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/// <summary>
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/// Subtracts another vector to this vector and stores the result into the result vector.
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/// </summary>
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/// <param name="other">
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/// The vector to subtract from this one.
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/// </param>
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/// <param name="result">
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/// The vector to store the result of the subtraction.
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/// </param>
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protected override void DoSubtract(Vector<Complex32> other, Vector<Complex32> result)
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{
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if (ReferenceEquals(this, other))
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{
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result.Clear();
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return;
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}
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if (other is SparseVector otherSparse && result is SparseVector resultSparse)
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{
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// TODO (ruegg, 2011-10-11): Options to optimize?
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var otherStorage = otherSparse._storage;
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if (ReferenceEquals(this, resultSparse))
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{
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int i = 0, j = 0;
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while (j < otherStorage.ValueCount)
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{
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if (i >= _storage.ValueCount || _storage.Indices[i] > otherStorage.Indices[j])
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{
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var otherValue = otherStorage.Values[j];
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if (!Complex32.Zero.Equals(otherValue))
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{
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_storage.InsertAtIndexUnchecked(i++, otherStorage.Indices[j], -otherValue);
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}
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j++;
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}
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else if (_storage.Indices[i] == otherStorage.Indices[j])
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{
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// TODO: result can be zero, remove?
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_storage.Values[i++] -= otherStorage.Values[j++];
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}
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else
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{
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i++;
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}
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}
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}
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else
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{
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result.Clear();
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int i = 0, j = 0, last = -1;
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while (i < _storage.ValueCount || j < otherStorage.ValueCount)
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{
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if (j >= otherStorage.ValueCount || i < _storage.ValueCount && _storage.Indices[i] <= otherStorage.Indices[j])
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{
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var next = _storage.Indices[i];
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if (next != last)
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{
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last = next;
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result.At(next, _storage.Values[i] - otherSparse.At(next));
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}
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i++;
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}
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else
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{
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var next = otherStorage.Indices[j];
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if (next != last)
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{
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last = next;
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result.At(next, At(next) - otherStorage.Values[j]);
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}
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j++;
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}
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}
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}
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}
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else
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{
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base.DoSubtract(other, result);
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}
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}
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/// <summary>
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/// Negates vector and saves result to <paramref name="result"/>
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/// </summary>
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/// <param name="result">Target vector</param>
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protected override void DoNegate(Vector<Complex32> result)
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{
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if (result is SparseVector sparseResult)
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{
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if (!ReferenceEquals(this, result))
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{
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sparseResult._storage.ValueCount = _storage.ValueCount;
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sparseResult._storage.Indices = new int[_storage.ValueCount];
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Buffer.BlockCopy(_storage.Indices, 0, sparseResult._storage.Indices, 0, _storage.ValueCount * Constants.SizeOfInt);
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sparseResult._storage.Values = new Complex32[_storage.ValueCount];
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Array.Copy(_storage.Values, 0, sparseResult._storage.Values, 0, _storage.ValueCount);
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}
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LinearAlgebraControl.Provider.ScaleArray(-Complex32.One, sparseResult._storage.Values, sparseResult._storage.Values);
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}
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else
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{
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result.Clear();
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for (var index = 0; index < _storage.ValueCount; index++)
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{
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result.At(_storage.Indices[index], -_storage.Values[index]);
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}
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}
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}
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/// <summary>
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/// Conjugates vector and save result to <paramref name="result"/>
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/// </summary>
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/// <param name="result">Target vector</param>
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protected override void DoConjugate(Vector<Complex32> result)
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{
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if (result is SparseVector sparseResult)
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{
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if (!ReferenceEquals(this, result))
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{
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sparseResult._storage.ValueCount = _storage.ValueCount;
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sparseResult._storage.Indices = new int[_storage.ValueCount];
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Buffer.BlockCopy(_storage.Indices, 0, sparseResult._storage.Indices, 0, _storage.ValueCount*Constants.SizeOfInt);
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sparseResult._storage.Values = new Complex32[_storage.ValueCount];
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Array.Copy(_storage.Values, 0, sparseResult._storage.Values, 0, _storage.ValueCount);
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}
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LinearAlgebraControl.Provider.ConjugateArray(sparseResult._storage.Values, sparseResult._storage.Values);
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return;
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}
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result.Clear();
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for (var index = 0; index < _storage.ValueCount; index++)
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{
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result.At(_storage.Indices[index], _storage.Values[index].Conjugate());
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}
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}
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/// <summary>
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/// Multiplies a scalar to each element of the vector and stores the result in the result vector.
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/// </summary>
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/// <param name="scalar">
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/// The scalar to multiply.
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/// </param>
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/// <param name="result">
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/// The vector to store the result of the multiplication.
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/// </param>
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protected override void DoMultiply(Complex32 scalar, Vector<Complex32> result)
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{
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if (result is SparseVector sparseResult)
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{
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if (!ReferenceEquals(this, result))
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{
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sparseResult._storage.ValueCount = _storage.ValueCount;
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sparseResult._storage.Indices = new int[_storage.ValueCount];
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Buffer.BlockCopy(_storage.Indices, 0, sparseResult._storage.Indices, 0, _storage.ValueCount * Constants.SizeOfInt);
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sparseResult._storage.Values = new Complex32[_storage.ValueCount];
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Array.Copy(_storage.Values, 0, sparseResult._storage.Values, 0, _storage.ValueCount);
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}
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LinearAlgebraControl.Provider.ScaleArray(scalar, sparseResult._storage.Values, sparseResult._storage.Values);
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}
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else
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{
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result.Clear();
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for (var index = 0; index < _storage.ValueCount; index++)
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{
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result.At(_storage.Indices[index], scalar * _storage.Values[index]);
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}
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}
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}
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/// <summary>
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/// Computes the dot product between this vector and another vector.
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/// </summary>
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/// <param name="other">The other vector.</param>
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/// <returns>The sum of a[i]*b[i] for all i.</returns>
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protected override Complex32 DoDotProduct(Vector<Complex32> other)
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{
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var result = Complex32.Zero;
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if (ReferenceEquals(this, other))
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{
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for (var i = 0; i < _storage.ValueCount; i++)
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{
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result += _storage.Values[i] * _storage.Values[i];
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}
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}
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else
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{
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for (var i = 0; i < _storage.ValueCount; i++)
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{
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result += _storage.Values[i] * other.At(_storage.Indices[i]);
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}
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}
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return result;
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}
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/// <summary>
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/// Computes the dot product between the conjugate of this vector and another vector.
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/// </summary>
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/// <param name="other">The other vector.</param>
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/// <returns>The sum of conj(a[i])*b[i] for all i.</returns>
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protected override Complex32 DoConjugateDotProduct(Vector<Complex32> other)
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{
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var result = Complex32.Zero;
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if (ReferenceEquals(this, other))
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{
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for (var i = 0; i < _storage.ValueCount; i++)
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{
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result += _storage.Values[i].Conjugate() * _storage.Values[i];
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}
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}
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else
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{
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for (var i = 0; i < _storage.ValueCount; i++)
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{
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result += _storage.Values[i].Conjugate() * other.At(_storage.Indices[i]);
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}
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}
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return result;
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}
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/// <summary>
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/// Adds two <strong>Vectors</strong> together and returns the results.
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/// </summary>
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/// <param name="leftSide">One of the vectors to add.</param>
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/// <param name="rightSide">The other vector to add.</param>
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/// <returns>The result of the addition.</returns>
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/// <exception cref="ArgumentException">If <paramref name="leftSide"/> and <paramref name="rightSide"/> are not the same size.</exception>
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/// <exception cref="ArgumentNullException">If <paramref name="leftSide"/> or <paramref name="rightSide"/> is <see langword="null" />.</exception>
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public static SparseVector operator +(SparseVector leftSide, SparseVector rightSide)
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{
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if (leftSide == null)
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{
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throw new ArgumentNullException(nameof(leftSide));
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}
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return (SparseVector)leftSide.Add(rightSide);
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}
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/// <summary>
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/// Returns a <strong>Vector</strong> containing the negated values of <paramref name="rightSide"/>.
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/// </summary>
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/// <param name="rightSide">The vector to get the values from.</param>
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/// <returns>A vector containing the negated values as <paramref name="rightSide"/>.</returns>
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/// <exception cref="ArgumentNullException">If <paramref name="rightSide"/> is <see langword="null" />.</exception>
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public static SparseVector operator -(SparseVector rightSide)
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{
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if (rightSide == null)
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{
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throw new ArgumentNullException(nameof(rightSide));
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}
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return (SparseVector)rightSide.Negate();
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}
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/// <summary>
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/// Subtracts two <strong>Vectors</strong> and returns the results.
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/// </summary>
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/// <param name="leftSide">The vector to subtract from.</param>
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/// <param name="rightSide">The vector to subtract.</param>
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/// <returns>The result of the subtraction.</returns>
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/// <exception cref="ArgumentException">If <paramref name="leftSide"/> and <paramref name="rightSide"/> are not the same size.</exception>
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/// <exception cref="ArgumentNullException">If <paramref name="leftSide"/> or <paramref name="rightSide"/> is <see langword="null" />.</exception>
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public static SparseVector operator -(SparseVector leftSide, SparseVector rightSide)
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{
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if (leftSide == null)
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{
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throw new ArgumentNullException(nameof(leftSide));
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}
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return (SparseVector)leftSide.Subtract(rightSide);
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}
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/// <summary>
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/// Multiplies a vector with a complex.
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/// </summary>
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/// <param name="leftSide">The vector to scale.</param>
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/// <param name="rightSide">The complex value.</param>
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/// <returns>The result of the multiplication.</returns>
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/// <exception cref="ArgumentNullException">If <paramref name="leftSide"/> is <see langword="null" />.</exception>
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public static SparseVector operator *(SparseVector leftSide, Complex32 rightSide)
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{
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if (leftSide == null)
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{
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throw new ArgumentNullException(nameof(leftSide));
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}
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return (SparseVector)leftSide.Multiply(rightSide);
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}
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/// <summary>
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/// Multiplies a vector with a complex.
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/// </summary>
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/// <param name="leftSide">The complex value.</param>
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/// <param name="rightSide">The vector to scale.</param>
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/// <returns>The result of the multiplication.</returns>
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/// <exception cref="ArgumentNullException">If <paramref name="rightSide"/> is <see langword="null" />.</exception>
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public static SparseVector operator *(Complex32 leftSide, SparseVector rightSide)
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{
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if (rightSide == null)
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{
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throw new ArgumentNullException(nameof(rightSide));
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}
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return (SparseVector)rightSide.Multiply(leftSide);
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}
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/// <summary>
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/// Computes the dot product between two <strong>Vectors</strong>.
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/// </summary>
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/// <param name="leftSide">The left row vector.</param>
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/// <param name="rightSide">The right column vector.</param>
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/// <returns>The dot product between the two vectors.</returns>
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/// <exception cref="ArgumentException">If <paramref name="leftSide"/> and <paramref name="rightSide"/> are not the same size.</exception>
|
/// <exception cref="ArgumentNullException">If <paramref name="leftSide"/> or <paramref name="rightSide"/> is <see langword="null" />.</exception>
|
public static Complex32 operator *(SparseVector leftSide, SparseVector rightSide)
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{
|
if (leftSide == null)
|
{
|
throw new ArgumentNullException(nameof(leftSide));
|
}
|
|
return leftSide.DotProduct(rightSide);
|
}
|
|
/// <summary>
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/// Divides a vector with a complex.
|
/// </summary>
|
/// <param name="leftSide">The vector to divide.</param>
|
/// <param name="rightSide">The complex value.</param>
|
/// <returns>The result of the division.</returns>
|
/// <exception cref="ArgumentNullException">If <paramref name="leftSide"/> is <see langword="null" />.</exception>
|
public static SparseVector operator /(SparseVector leftSide, Complex32 rightSide)
|
{
|
if (leftSide == null)
|
{
|
throw new ArgumentNullException(nameof(leftSide));
|
}
|
|
return (SparseVector)leftSide.Divide(rightSide);
|
}
|
|
/// <summary>
|
/// Computes the modulus of each element of the vector of the given divisor.
|
/// </summary>
|
/// <param name="leftSide">The vector whose elements we want to compute the modulus of.</param>
|
/// <param name="rightSide">The divisor to use,</param>
|
/// <returns>The result of the calculation</returns>
|
/// <exception cref="ArgumentNullException">If <paramref name="leftSide"/> is <see langword="null" />.</exception>
|
public static SparseVector operator %(SparseVector leftSide, Complex32 rightSide)
|
{
|
if (leftSide == null)
|
{
|
throw new ArgumentNullException(nameof(leftSide));
|
}
|
|
return (SparseVector)leftSide.Modulus(rightSide);
|
}
|
|
/// <summary>
|
/// Returns the index of the absolute minimum element.
|
/// </summary>
|
/// <returns>The index of absolute minimum element.</returns>
|
public override int AbsoluteMinimumIndex()
|
{
|
if (_storage.ValueCount == 0)
|
{
|
// No non-zero elements. Return 0
|
return 0;
|
}
|
|
var index = 0;
|
var min = _storage.Values[index].Magnitude;
|
for (var i = 1; i < _storage.ValueCount; i++)
|
{
|
var test = _storage.Values[i].Magnitude;
|
if (test < min)
|
{
|
index = i;
|
min = test;
|
}
|
}
|
|
return _storage.Indices[index];
|
}
|
|
/// <summary>
|
/// Returns the index of the absolute maximum element.
|
/// </summary>
|
/// <returns>The index of absolute maximum element.</returns>
|
public override int AbsoluteMaximumIndex()
|
{
|
if (_storage.ValueCount == 0)
|
{
|
// No non-zero elements. Return 0
|
return 0;
|
}
|
|
var index = 0;
|
var max = _storage.Values[index].Magnitude;
|
for (var i = 1; i < _storage.ValueCount; i++)
|
{
|
var test = _storage.Values[i].Magnitude;
|
if (test > max)
|
{
|
index = i;
|
max = test;
|
}
|
}
|
|
return _storage.Indices[index];
|
}
|
|
/// <summary>
|
/// Computes the sum of the vector's elements.
|
/// </summary>
|
/// <returns>The sum of the vector's elements.</returns>
|
public override Complex32 Sum()
|
{
|
var result = Complex32.Zero;
|
for (var i = 0; i < _storage.ValueCount; i++)
|
{
|
result += _storage.Values[i];
|
}
|
return result;
|
}
|
|
/// <summary>
|
/// Calculates the L1 norm of the vector, also known as Manhattan norm.
|
/// </summary>
|
/// <returns>The sum of the absolute values.</returns>
|
public override double L1Norm()
|
{
|
double result = 0d;
|
for (var i = 0; i < _storage.ValueCount; i++)
|
{
|
result += _storage.Values[i].Magnitude;
|
}
|
return result;
|
}
|
|
/// <summary>
|
/// Calculates the infinity norm of the vector.
|
/// </summary>
|
/// <returns>The maximum absolute value.</returns>
|
public override double InfinityNorm()
|
{
|
return CommonParallel.Aggregate(0, _storage.ValueCount, i => _storage.Values[i].Magnitude, Math.Max, 0f);
|
}
|
|
/// <summary>
|
/// Computes the p-Norm.
|
/// </summary>
|
/// <param name="p">The p value.</param>
|
/// <returns>Scalar <c>ret = ( ∑|this[i]|^p )^(1/p)</c></returns>
|
public override double Norm(double p)
|
{
|
if (p < 0d) throw new ArgumentOutOfRangeException(nameof(p));
|
|
if (_storage.ValueCount == 0)
|
{
|
return 0d;
|
}
|
|
if (p == 1d) return L1Norm();
|
if (p == 2d) return L2Norm();
|
if (double.IsPositiveInfinity(p)) return InfinityNorm();
|
|
double sum = 0d;
|
for (var index = 0; index < _storage.ValueCount; index++)
|
{
|
sum += Math.Pow(_storage.Values[index].Magnitude, p);
|
}
|
return Math.Pow(sum, 1.0 / p);
|
}
|
|
/// <summary>
|
/// Pointwise multiplies this vector with another vector and stores the result into the result vector.
|
/// </summary>
|
/// <param name="other">The vector to pointwise multiply with this one.</param>
|
/// <param name="result">The vector to store the result of the pointwise multiplication.</param>
|
protected override void DoPointwiseMultiply(Vector<Complex32> other, Vector<Complex32> result)
|
{
|
if (ReferenceEquals(this, other) && ReferenceEquals(this, result))
|
{
|
for (var i = 0; i < _storage.ValueCount; i++)
|
{
|
_storage.Values[i] *= _storage.Values[i];
|
}
|
}
|
else
|
{
|
base.DoPointwiseMultiply(other, result);
|
}
|
}
|
|
#region Parse Functions
|
|
/// <summary>
|
/// Creates a double sparse vector based on a string. The string can be in the following formats (without the
|
/// quotes): 'n', 'n;n;..', '(n;n;..)', '[n;n;...]', where n is a Complex32.
|
/// </summary>
|
/// <returns>
|
/// A double sparse vector containing the values specified by the given string.
|
/// </returns>
|
/// <param name="value">
|
/// the string to parse.
|
/// </param>
|
/// <param name="formatProvider">
|
/// An <see cref="IFormatProvider"/> that supplies culture-specific formatting information.
|
/// </param>
|
public static SparseVector Parse(string value, IFormatProvider formatProvider = null)
|
{
|
if (value == null)
|
{
|
throw new ArgumentNullException(nameof(value));
|
}
|
|
value = value.Trim();
|
if (value.Length == 0)
|
{
|
throw new FormatException();
|
}
|
|
// strip out parens
|
if (value.StartsWith("(", StringComparison.Ordinal))
|
{
|
if (!value.EndsWith(")", StringComparison.Ordinal))
|
{
|
throw new FormatException();
|
}
|
|
value = value.Substring(1, value.Length - 2).Trim();
|
}
|
|
if (value.StartsWith("[", StringComparison.Ordinal))
|
{
|
if (!value.EndsWith("]", StringComparison.Ordinal))
|
{
|
throw new FormatException();
|
}
|
|
value = value.Substring(1, value.Length - 2).Trim();
|
}
|
|
// parsing
|
var strongTokens = value.Split(new[] { formatProvider.GetTextInfo().ListSeparator }, StringSplitOptions.RemoveEmptyEntries);
|
var data = new List<Complex32>();
|
foreach (string strongToken in strongTokens)
|
{
|
var weakTokens = strongToken.Split(new[] { " ", "\t" }, StringSplitOptions.RemoveEmptyEntries);
|
string current = string.Empty;
|
for (int i = 0; i < weakTokens.Length; i++)
|
{
|
current += weakTokens[i];
|
if (current.EndsWith("+") || current.EndsWith("-") || current.StartsWith("(") && !current.EndsWith(")"))
|
{
|
continue;
|
}
|
var ahead = i < weakTokens.Length - 1 ? weakTokens[i + 1] : string.Empty;
|
if (ahead.StartsWith("+") || ahead.StartsWith("-"))
|
{
|
continue;
|
}
|
data.Add(current.ToComplex32(formatProvider));
|
current = string.Empty;
|
}
|
if (current != string.Empty)
|
{
|
throw new FormatException();
|
}
|
}
|
if (data.Count == 0)
|
{
|
throw new FormatException();
|
}
|
return OfEnumerable(data);
|
}
|
|
/// <summary>
|
/// Converts the string representation of a complex sparse vector to double-precision sparse vector equivalent.
|
/// A return value indicates whether the conversion succeeded or failed.
|
/// </summary>
|
/// <param name="value">
|
/// A string containing a complex vector to convert.
|
/// </param>
|
/// <param name="result">
|
/// The parsed value.
|
/// </param>
|
/// <returns>
|
/// If the conversion succeeds, the result will contain a complex number equivalent to value.
|
/// Otherwise the result will be <c>null</c>.
|
/// </returns>
|
public static bool TryParse(string value, out SparseVector result)
|
{
|
return TryParse(value, null, out result);
|
}
|
|
/// <summary>
|
/// Converts the string representation of a complex sparse vector to double-precision sparse vector equivalent.
|
/// A return value indicates whether the conversion succeeded or failed.
|
/// </summary>
|
/// <param name="value">
|
/// A string containing a complex vector to convert.
|
/// </param>
|
/// <param name="formatProvider">
|
/// An <see cref="IFormatProvider"/> that supplies culture-specific formatting information about value.
|
/// </param>
|
/// <param name="result">
|
/// The parsed value.
|
/// </param>
|
/// <returns>
|
/// If the conversion succeeds, the result will contain a complex number equivalent to value.
|
/// Otherwise the result will be <c>null</c>.
|
/// </returns>
|
public static bool TryParse(string value, IFormatProvider formatProvider, out SparseVector result)
|
{
|
bool ret;
|
try
|
{
|
result = Parse(value, formatProvider);
|
ret = true;
|
}
|
catch (ArgumentNullException)
|
{
|
result = null;
|
ret = false;
|
}
|
catch (FormatException)
|
{
|
result = null;
|
ret = false;
|
}
|
|
return ret;
|
}
|
#endregion
|
|
public override string ToTypeString()
|
{
|
return FormattableString.Invariant($"SparseVector {Count}-Complex32 {NonZerosCount / (double) Count:P2} Filled");
|
}
|
}
|
}
|
