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226 lines
7.7 KiB
226 lines
7.7 KiB
// --------------------------------------------------------------------------------------------------------------------
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// <copyright file="GaussianBlur.cs" company="James South">
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// Copyright (c) James South.
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// Licensed under the Apache License, Version 2.0.
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// </copyright>
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// <summary>
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// Applies a Gaussian blur to the image.
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// </summary>
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// --------------------------------------------------------------------------------------------------------------------
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namespace ImageProcessor.Processors
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{
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using System;
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using System.Collections.Generic;
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using System.Drawing;
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using System.Text.RegularExpressions;
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using ImageProcessor.Imaging;
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/// <summary>
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/// Applies a Gaussian blur to the image.
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/// </summary>
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public class GaussianBlur : IGraphicsProcessor
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{
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#region Fields
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/// <summary>
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/// The regular expression to search strings for.
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/// </summary>
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private static readonly Regex QueryRegex = new Regex(@"blur=[^&]*", RegexOptions.Compiled);
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/// <summary>
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/// The blur regex.
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/// </summary>
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private static readonly Regex BlurRegex = new Regex(@"blur=\d+", RegexOptions.Compiled);
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/// <summary>
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/// The sigma regex.
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/// </summary>
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private static readonly Regex SigmaRegex = new Regex(@"sigma-\d+(.?\d+)?", RegexOptions.Compiled);
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/// <summary>
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/// The threshold regex.
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/// </summary>
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private static readonly Regex ThresholdRegex = new Regex(@"threshold-\d+", RegexOptions.Compiled);
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#endregion
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#region IGraphicsProcessor Members
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/// <summary>
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/// Gets the regular expression to search strings for.
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/// </summary>
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public Regex RegexPattern
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{
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get
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{
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return QueryRegex;
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}
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}
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/// <summary>
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/// Gets or sets the DynamicParameter.
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/// </summary>
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public dynamic DynamicParameter { get; set; }
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/// <summary>
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/// Gets the order in which this processor is to be used in a chain.
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/// </summary>
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public int SortOrder { get; private set; }
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/// <summary>
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/// Gets or sets any additional settings required by the processor.
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/// </summary>
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public Dictionary<string, string> Settings { get; set; }
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/// <summary>
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/// The position in the original string where the first character of the captured substring was found.
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/// </summary>
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/// <param name="queryString">The query string to search.</param>
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/// <returns>
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/// The zero-based starting position in the original string where the captured substring was found.
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/// </returns>
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public int MatchRegexIndex(string queryString)
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{
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int index = 0;
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// Set the sort order to max to allow filtering.
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this.SortOrder = int.MaxValue;
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foreach (Match match in this.RegexPattern.Matches(queryString))
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{
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if (match.Success)
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{
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if (index == 0)
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{
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// Set the index on the first instance only.
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this.SortOrder = match.Index;
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// Normalise and set the variables.
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int maxSize;
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double maxSigma;
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int maxThreshold;
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int.TryParse(this.Settings["MaxSize"], out maxSize);
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double.TryParse(this.Settings["MaxSigma"], out maxSigma);
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int.TryParse(this.Settings["MaxThreshold"], out maxThreshold);
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int size = this.ParseBlur(match.Value);
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double sigma = this.ParseSigma(match.Value);
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int threshold = this.ParseThreshold(match.Value);
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size = maxSize < size ? maxSize : size;
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sigma = maxSigma < sigma ? maxSigma : sigma;
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threshold = maxThreshold < threshold ? maxThreshold : threshold;
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this.DynamicParameter = new GaussianLayer(size, sigma, threshold);
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}
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index += 1;
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}
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}
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return this.SortOrder;
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}
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/// <summary>
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/// Processes the image.
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/// </summary>
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/// <param name="factory">The the current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class containing
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/// the image to process.</param>
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/// <returns>
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/// The processed image from the current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class.
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/// </returns>
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public Image ProcessImage(ImageFactory factory)
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{
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Bitmap newImage = null;
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Bitmap image = (Bitmap)factory.Image;
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try
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{
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newImage = new Bitmap(image);
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GaussianLayer gaussianLayer = (GaussianLayer)this.DynamicParameter;
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Convolution convolution = new Convolution(gaussianLayer.Sigma) { Threshold = gaussianLayer.Threshold };
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double[,] kernel = convolution.CreateGuassianBlurFilter(gaussianLayer.Size);
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newImage = convolution.ProcessKernel(newImage, kernel);
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newImage.Tag = image.Tag;
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image.Dispose();
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image = newImage;
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}
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catch
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{
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if (newImage != null)
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{
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newImage.Dispose();
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}
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}
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return image;
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}
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#endregion
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#region Private
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/// <summary>
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/// Returns the correct <see cref="T:System.Double"/> containing the sigma value
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/// for the given string.
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/// </summary>
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/// <param name="input">
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/// The input string containing the value to parse.
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/// </param>
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/// <returns>
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/// The correct <see cref="T:System.Double"/> for the given string.
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/// </returns>
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private double ParseSigma(string input)
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{
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foreach (Match match in SigmaRegex.Matches(input))
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{
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// split on text-
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return Convert.ToDouble(match.Value.Split('-')[1]);
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}
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return 1.4d;
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}
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/// <summary>
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/// Returns the correct <see cref="T:System.Int32"/> containing the threshold value
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/// for the given string.
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/// </summary>
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/// <param name="input">
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/// The input string containing the value to parse.
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/// </param>
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/// <returns>
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/// The correct <see cref="T:System.Int32"/> for the given string.
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/// </returns>
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private int ParseThreshold(string input)
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{
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// ReSharper disable once LoopCanBeConvertedToQuery
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foreach (Match match in ThresholdRegex.Matches(input))
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{
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return Convert.ToInt32(match.Value.Split('-')[1]);
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}
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return 0;
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}
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/// <summary>
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/// Returns the correct <see cref="T:System.Int32"/> containing the blur value
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/// for the given string.
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/// </summary>
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/// <param name="input">
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/// The input string containing the value to parse.
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/// </param>
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/// <returns>
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/// The correct <see cref="T:System.Int32"/> for the given string.
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/// </returns>
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private int ParseBlur(string input)
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{
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// ReSharper disable once LoopCanBeConvertedToQuery
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foreach (Match match in BlurRegex.Matches(input))
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{
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return Convert.ToInt32(match.Value.Split('=')[1]);
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}
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return 0;
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}
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#endregion
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}
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}
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