source: branches/HeuristicLab.Problems.GaussianProcessTuning/ILNumerics.2.14.4735.573/Storage/ILRightSideRange.cs @ 12064

///
///    This file is part of ILNumerics Community Edition.
///
///    ILNumerics Community Edition - high performance computing for applications.
///    Copyright (C) 2006 - 2012 Haymo Kutschbach, http://ilnumerics.net
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///    along with ILNumerics Community Edition. See the file License.txt in the root
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using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using ILNumerics.Data;

namespace ILNumerics.Storage {
    internal class ILRightSideRange : ILRange {
        /// <summary>
        /// rempat consctructor - for performance reasons 
        /// </summary>
        /// <param name="dimension">source array dimensions</param>
        /// <param name="range">destination array repmattings </param>
        internal ILRightSideRange(ILSize dimension, params int[] range) {
            if (range == null || range.Length == 0) {
                m_range = new ILIntList[0]; 
                m_size = ILSize.Empty00; 
            } else {
                m_range = new ILIntList[Math.Max(range.Length, dimension.NumberOfDimensions)];
                int[] outSizes = dimension.ToIntArray(m_range.Length); 
                int i = 0;
                for (; i < range.Length; i++) {
                    int limit = range[i];
                    if (limit < 0) 
                        throw new Exceptions.ILArgumentException("dimension specifier must not be negative"); 
                    // 'full' dimension addressed
                    int fullVal = -(dimension[i] - 1);
                    ILIntList intList = ILIntList.Create(limit, fullVal);
                    //for (int c = limit; c --> 0; ) {
                    //    intList.Add(val);
                    //}
                    m_range[i] = intList; 
                    outSizes[i] *= limit; 
                }
                for (; i < m_range.Length; i++) {
                    if (i < dimension.NumberOfDimensions) {
                        int fullVal = -(dimension[i] - 1);
                        m_range[i] = ILIntList.Create(1, fullVal);
                    } else {
                        m_range[i] = ILIntList.Create(1, 0); 
                    }
                }
                m_size = new ILSize(outSizes); 
            }
        }
        internal ILRightSideRange(ILSize dimension, ILBaseArray[] indices) 
            : base()  { 
            create(indices,dimension); 
        }
        protected void create(ILBaseArray[] indices, ILSize dimensions) {
            using (ILScope.Enter(indices)) {
                //if (object.Equals(indices, null)) {
                //    // A(null)
                //    indices = new ILBaseArray[] { null }; 
                //}
                if (indices.Length == 0) {
                    m_range = new ILIntList[0];
                    m_size = ILSize.Empty00;
                    return;
                }
                if (indices.Length == 1) {
                    if (indices[0] is ILDenseArray<string> && indices[0].IsScalar) {
                        // special case? A[":;0:3;0:end;..."] -> multiple dimensions given as single string
                        System.Diagnostics.Debug.Fail("single dimension subarray specification should be handled seperately by ILDenseStorage.Subarray()");
                        string indStr = (string)(indices[0] as ILDenseArray<string>).GetValue(0);
                        if (String.IsNullOrWhiteSpace(indStr)) {
                            m_range = new ILIntList[0];
                            m_size = ILSize.Empty00;
                            return;
                        }
                        string[] dimParts = indStr.Split(';');
                        if (dimParts.Length > 1) {
                            indices = new ILBaseArray[dimParts.Length];
                            for (int i = 0; i < dimParts.Length; i++) {
                                indices[i] = dimParts[i];
                            }
                            create(indices,dimensions); 
                            return; 
                        }
                    }
                }
                m_range = new ILIntList[indices.Length];  // due to outer constraines: >= 2 dimensions
                // outdims: immer so wie der range (indices), min 2
                int[] outDims = new int[m_range.Length];
                // if indices addresses less dimensions than ex, in dimensions -> expand last dimension 
                int[] inDims = dimensions.ToIntArrayEx(m_range.Length);

                for (int d = 0; d < m_range.Length; d++) {
                    int min = int.MaxValue, max = int.MinValue, outLen = 0;
                    m_range[d] = ILIntList.Create();
                    extractDimension(m_range[d], ref outLen, indices[d], d, ref min, ref max, inDims);
                    outDims[d] = outLen;
                    // check limits
                    if (min < 0) {
                        throw new Exceptions.ILArgumentException(String.Format("index < 0: {1}, dimension  #{0}", d, min));
                    }
                    if (max >= ((d < inDims.Length) ? inDims[d] : 1)) {
                        throw new Exceptions.ILArgumentException(String.Format("index out of range: {1}, dimension: {0}", d, max));
                    }
                }
                m_size = new ILSize(outDims);
            }
        }

    }
}