view data/model/PowerOfSqrtTwoZoomConstraint.cpp @ 299:576be0d0d218

* Merge transform directory from sv-match-alignment branch (the previous comment included notes for this stuff, but I missed it in the actual merge) * Fix crash when a transform fails to create an output model and the thread that created the transform then deletes its input model thinking it's no longer needed, even though the transform run thread is still using it -- fix is to wait() on the transform before returning the null output model
author Chris Cannam
date Fri, 28 Sep 2007 16:15:06 +0000
parents 3a13b0d4934e
children 166c22eff678
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/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */

/*
    Sonic Visualiser
    An audio file viewer and annotation editor.
    Centre for Digital Music, Queen Mary, University of London.
    This file copyright 2006 Chris Cannam.
    
    This program is free software; you can redistribute it and/or
    modify it under the terms of the GNU General Public License as
    published by the Free Software Foundation; either version 2 of the
    License, or (at your option) any later version.  See the file
    COPYING included with this distribution for more information.
*/

#include "PowerOfSqrtTwoZoomConstraint.h"

#include <iostream>
#include <cmath>


size_t
PowerOfSqrtTwoZoomConstraint::getNearestBlockSize(size_t blockSize,
						  RoundingDirection dir) const
{
    int type, power;
    size_t rv = getNearestBlockSize(blockSize, type, power, dir);
    return rv;
}

size_t
PowerOfSqrtTwoZoomConstraint::getNearestBlockSize(size_t blockSize,
						  int &type, 
						  int &power,
						  RoundingDirection dir) const
{
//    std::cerr << "given " << blockSize << std::endl;

    size_t minCachePower = getMinCachePower();

    if (blockSize < (1U << minCachePower)) {
	type = -1;
	power = 0;
	float val = 1.0, prevVal = 1.0;
	while (val + 0.01 < blockSize) {
	    prevVal = val;
	    val *= sqrt(2);
	}
	size_t rval;
	if (dir == RoundUp) rval = size_t(val + 0.01);
	else if (dir == RoundDown) rval = size_t(prevVal + 0.01);
	else if (val - blockSize < blockSize - prevVal) rval = size_t(val + 0.01);
	else rval = size_t(prevVal + 0.01);
//	std::cerr << "returning " << rval << std::endl;
	return rval;
    }

    unsigned int prevBase = (1 << minCachePower);
    unsigned int prevPower = minCachePower;
    unsigned int prevType = 0;

    size_t result = 0;

    for (unsigned int i = 0; ; ++i) {

	power = minCachePower + i/2;
	type = i % 2;

	unsigned int base;
	if (type == 0) {
	    base = (1 << power);
	} else {
	    base = (((unsigned int)((1 << minCachePower) * sqrt(2) + 0.01))
		    << (power - minCachePower));
	}

//	std::cerr << "Testing base " << base << std::endl;
	if (base >= blockSize) {
	    if (dir == RoundNearest) {
		if (base - blockSize < blockSize - prevBase) {
		    dir = RoundUp;
		} else {
		    dir = RoundDown;
		}
	    }
	    if (dir == RoundUp) {
		result = base;
		break;
	    } else {
		type = prevType;
		power = prevPower;
		result = prevBase;
		break;
	    }
	}

	prevType = type;
	prevPower = power;
	prevBase = base;
    }

    if (result > getMaxZoomLevel()) result = getMaxZoomLevel();
    return result;
}