feat(apk): scanner le QR du poste depuis l'app (ZXing.Delphi, Apache 2.0)

Le scanner du systeme demandait avec quoi ouvrir le lien. L'app ouvre la
camera arriere, decode une image sur quatre et remplit URL + jeton des
qu'un lien pmserver://sync est lu. Rien n'est enregistre avant Save.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
r-zakarya
2026-09-17 18:38:41 +01:00
parent 780eecc11b
commit dd9fd62dcb
81 changed files with 22141 additions and 19 deletions
@@ -0,0 +1,977 @@
{
* Copyright 2007 ZXing authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* Original Author: Sean Owen
* Delphi Implementation by E. Spelt and K. Gossens
}
unit ZXing.QrCode.Internal.FinderPatternFinder;
interface
uses
System.SysUtils,
System.Math,
System.Generics.Defaults,
System.Generics.Collections,
ZXing.Common.BitMatrix,
ZXing.ResultPoint,
ZXing.DecodeHinttype,
ZXing.QrCode.Internal.FinderPatternInfo,
ZXing.QrCode.Internal.FinderPattern;
type
/// <summary>
/// <p>This class attempts to find finder patterns in a QR Code. Finder patterns are the square
/// markers at three corners of a QR Code.</p>
///
/// <p>This class is thread-safe but not reentrant. Each thread must allocate its own object.
/// </summary>
TFinderPatternFinder = class
private
const
CENTER_QUORUM: Integer = 2;
INTEGER_MATH_SHIFT: Integer = 8;
var
FImage: TBitMatrix;
FPossibleCenters: TList<IFinderPattern>;
FhasSkipped: Boolean;
FCrossCheckStateCount: TArray<Integer>;
FresultPointCallback: TResultPointCallback;
class function centerFromEnd(stateCount: TArray<Integer>; pEnd: Integer): Single; static;
function crossCheckDiagonal(startI: Integer; centerJ: Integer; maxCount: Integer; originalStateCountTotal: Integer): boolean;
function crossCheckHorizontal(startJ: Integer; centerI: Integer; maxCount: Integer; originalStateCountTotal: Integer): Single;
function crossCheckVertical(startI: Integer; centerJ: Integer; maxCount: Integer; originalStateCountTotal: Integer): Single;
function findRowSkip: Integer;
function haveMultiplyConfirmedCenters: boolean;
function selectBestPatterns: TArray<IFinderPattern>;
function CrossCheckStateCount: TArray<Integer>;
protected
const
/// <summary>
/// 1 pixel/module times 3 modules/center
/// </summary>
MIN_SKIP: Integer = 3;
/// <summary>
/// support up to version 10 for mobile clients
/// </summary>
MAX_MODULES: Integer = 97;
class function foundPatternCross(const stateCount: TArray<Integer>): Boolean; static;
function handlePossibleCenter(stateCount: TArray<Integer>; i: Integer;
j: Integer): boolean;
property image: TBitMatrix read FImage;
public
/// <summary>
/// <p>Creates a finder that will search the image for three finder patterns.</p>
/// </summary>
/// <param name="image">image to search</param>
constructor Create(const image: TBitMatrix); overload;
/// <summary>
/// Initializes a new instance of the <see cref="FinderPatternFinder"/> class.
/// </summary>
/// <param name="image">The image.</param>
/// <param name="resultPointCallback">The result point callback.</param>
constructor Create(const image: TBitMatrix;
resultPointCallback: TResultPointCallback); overload;
destructor Destroy; override;
function find(const hints: TDictionary<TDecodeHintType, TObject>): TFinderPatternInfo; virtual;
end;
TFurthestFromAverageComparator = class sealed(TInterfacedObject,
IComparer<IFinderPattern>)
private
average: Single;
public
constructor Create(f: Single);
function Compare(const Left, Right: IFinderPattern): Integer;
end;
TCenterComparator = class sealed(TInterfacedObject, IComparer<IFinderPattern>)
private
average: Single;
public
constructor Create(f: Single);
function Compare(const Left, Right: IFinderPattern): Integer;
end;
implementation
{ TFinderPatternFinder }
constructor TFinderPatternFinder.Create(const image: TBitMatrix);
begin
Self.Create(image, TResultPointCallback(nil));
end;
constructor TFinderPatternFinder.Create(const image: TBitMatrix;
resultPointCallback: TResultPointCallback);
begin
FImage := image;
FPossibleCenters := TList<IFinderPattern>.Create;
FCrossCheckStateCount := TArray<Integer>.Create(0, 0, 0, 0, 0);
FresultPointCallback := resultPointCallback;
end;
destructor TFinderPatternFinder.Destroy;
begin
FImage := nil;
{for i := Pred(PossibleCenters.Count) downto 0 do
begin
PossibleCenters[i].Free;
PossibleCenters.Delete(i);
end;}
FPossibleCenters.Free;
FCrossCheckStateCount := nil;
inherited;
end;
class function TFinderPatternFinder.centerFromEnd(stateCount: TArray<Integer>;
pEnd: Integer): Single;
var
aResult: Single;
begin
aResult := (pEnd - stateCount[4] - stateCount[3]) - (stateCount[2] / 2);
if (Single.IsNaN(aResult)) then
begin
result := -1;
exit
end;
result := aResult;
end;
function TFinderPatternFinder.crossCheckDiagonal(startI, centerJ, maxCount,
originalStateCountTotal: Integer): boolean;
var
stateCount: TArray<Integer>;
i, maxI, maxJ, stateCountTotal: Integer;
begin
stateCount := CrossCheckStateCount;
try
i := 0;
while ((((startI >= i) and (centerJ >= i)) and self.image[(centerJ - i),
(startI - i)])) do
begin
inc(stateCount[2]);
inc(i)
end;
if ((startI < i) or (centerJ < i)) then
begin
result := false;
exit
end;
while (((((startI >= i) and (centerJ >= i)) and
not self.image[(centerJ - i), (startI - i)]) and
(stateCount[1] <= maxCount))) do
begin
inc(stateCount[1]);
inc(i)
end;
if (((startI < i) or (centerJ < i)) or (stateCount[1] > maxCount)) then
begin
result := false;
exit
end;
while (((((startI >= i) and (centerJ >= i)) and self.image[(centerJ - i),
(startI - i)]) and (stateCount[0] <= maxCount))) do
begin
inc(stateCount[0]);
inc(i)
end;
if (stateCount[0] > maxCount) then
begin
result := false;
exit
end;
maxI := self.image.Height;
maxJ := self.image.Width;
i := 1;
while (((((startI + i) < maxI) and ((centerJ + i) < maxJ)) and
self.image[(centerJ + i), (startI + i)])) do
begin
inc(stateCount[2]);
inc(i)
end;
if (((startI + i) >= maxI) or ((centerJ + i) >= maxJ)) then
begin
result := false;
exit
end;
while ((((((startI + i) < maxI) and ((centerJ + i) < maxJ)) and
not self.image[(centerJ + i), (startI + i)]) and
(stateCount[3] < maxCount))) do
begin
inc(stateCount[3]);
inc(i)
end;
if ((((startI + i) >= maxI) or ((centerJ + i) >= maxJ)) or
(stateCount[3] >= maxCount)) then
begin
result := false;
exit
end;
while ((((((startI + i) < maxI) and ((centerJ + i) < maxJ)) and
self.image[(centerJ + i), (startI + i)]) and
(stateCount[4] < maxCount))) do
begin
inc(stateCount[4]);
inc(i)
end;
if (stateCount[4] >= maxCount) then
begin
result := false;
exit
end;
stateCountTotal :=
((((stateCount[0] + stateCount[1]) + stateCount[2]) + stateCount[3]) +
stateCount[4]);
Result := (Abs(stateCountTotal - originalStateCountTotal) <
(2 * originalStateCountTotal)) and TFinderPatternFinder.foundPatternCross
(stateCount);
finally
stateCount := nil;
end;
end;
function TFinderPatternFinder.crossCheckHorizontal(startJ: Integer;
centerI: Integer; maxCount: Integer;
originalStateCountTotal: Integer): Single;
var
stateCount: TArray<Integer>;
maxJ, j, stateCountTotal: Integer;
begin
maxJ := FImage.Width;
stateCount := CrossCheckStateCount;
try
j := startJ;
while (((j >= 0) and FImage[j, centerI])) do
begin
inc(stateCount[2]);
dec(j)
end;
if (j < 0) then
begin
result := -1;
exit
end;
while ((((j >= 0) and not FImage[j, centerI]) and
(stateCount[1] <= maxCount))) do
begin
inc(stateCount[1]);
dec(j)
end;
if ((j < 0) or (stateCount[1] > maxCount)) then
begin
result := -1;
exit
end;
while ((((j >= 0) and FImage[j, centerI]) and
(stateCount[0] <= maxCount))) do
begin
inc(stateCount[0]);
dec(j)
end;
if (stateCount[0] > maxCount) then
begin
result := -1;
exit
end;
j := (startJ + 1);
while (((j < maxJ) and FImage[j, centerI])) do
begin
inc(stateCount[2]);
inc(j)
end;
if (j = maxJ) then
begin
result := -1;
exit
end;
while ((((j < maxJ) and not FImage[j, centerI]) and
(stateCount[3] < maxCount))) do
begin
inc(stateCount[3]);
inc(j)
end;
if ((j = maxJ) or (stateCount[3] >= maxCount)) then
begin
result := -1;
exit
end;
while (((j < maxJ) and FImage[j, centerI]) and
(stateCount[4] < maxCount)) do
begin
inc(stateCount[4]);
inc(j)
end;
if (stateCount[4] >= maxCount) then
begin
result := -1;
exit
end;
stateCountTotal :=
((((stateCount[0] + stateCount[1]) + stateCount[2]) + stateCount[3]) +
stateCount[4]);
if (5 * Abs(stateCountTotal - originalStateCountTotal) >=
originalStateCountTotal) then
begin
result := -1;
exit
end;
if TFinderPatternFinder.foundPatternCross(stateCount) then
begin
result := TFinderPatternFinder.centerFromEnd(stateCount, j);
exit;
end;
finally
stateCount := nil;
end;
result := -1;
end;
function TFinderPatternFinder.CrossCheckStateCount: TArray<Integer>;
begin
FCrossCheckStateCount[0] := 0;
FCrossCheckStateCount[1] := 0;
FCrossCheckStateCount[2] := 0;
FCrossCheckStateCount[3] := 0;
FCrossCheckStateCount[4] := 0;
result := FCrossCheckStateCount;
end;
function TFinderPatternFinder.crossCheckVertical(startI: Integer;
centerJ: Integer; maxCount: Integer;
originalStateCountTotal: Integer): Single;
var
stateCount: TArray<Integer>;
maxI, i, stateCountTotal: Integer;
begin
maxI := FImage.Height;
stateCount := CrossCheckStateCount;
i := startI;
try
while (((i >= 0) and FImage[centerJ, i])) do
begin
inc(stateCount[2]);
dec(i)
end;
if (i < 0) then
begin
result := -1;
exit
end;
while ((((i >= 0) and not FImage[centerJ, i]) and
(stateCount[1] <= maxCount))) do
begin
inc(stateCount[1]);
dec(i)
end;
if ((i < 0) or (stateCount[1] > maxCount)) then
begin
result := -1;
exit
end;
while ((((i >= 0) and FImage[centerJ, i]) and
(stateCount[0] <= maxCount))) do
begin
inc(stateCount[0]);
dec(i)
end;
if (stateCount[0] > maxCount) then
begin
result := -1;
exit
end;
i := (startI + 1);
while (((i < maxI) and FImage[centerJ, i])) do
begin
inc(stateCount[2]);
inc(i)
end;
if (i = maxI) then
begin
result := -1;
exit
end;
while ((((i < maxI) and not FImage[centerJ, i]) and
(stateCount[3] < maxCount))) do
begin
inc(stateCount[3]);
inc(i)
end;
if ((i = maxI) or (stateCount[3] >= maxCount)) then
begin
result := -1;
exit
end;
while ((((i < maxI) and FImage[centerJ, i]) and
(stateCount[4] < maxCount))) do
begin
inc(stateCount[4]);
inc(i)
end;
if (stateCount[4] >= maxCount) then
begin
result := -1;
exit
end;
stateCountTotal :=
((((stateCount[0] + stateCount[1]) + stateCount[2]) + stateCount[3]) +
stateCount[4]);
if ((5 * Abs(stateCountTotal - originalStateCountTotal)) >=
(2 * originalStateCountTotal)) then
begin
result := -1;
exit
end;
if TFinderPatternFinder.foundPatternCross(stateCount) then
begin
result := TFinderPatternFinder.centerFromEnd(stateCount, i);
exit;
end;
finally
stateCount := nil;
end;
result := -1;
end;
function TFinderPatternFinder.find(
const hints: TDictionary<TDecodeHintType, TObject>): TFinderPatternInfo;
var
tryHarder,
done, confirmed: Boolean;
maxI, maxJ, iSkip,
i, currentState, j, rowSkip: Integer;
stateCount: TArray<Integer>;
patternInfo: TArray<IFinderPattern>;
resultInfo: TArray<IResultPoint>;
begin
Result := nil;
tryHarder := (hints <> nil) and (hints.ContainsKey(ZXing.DecodeHinttype.TRY_HARDER));
maxI := Self.image.Height;
maxJ := Self.image.Width;
// We are looking for black/white/black/white/black modules in
// 1:1:3:1:1 ratio; this tracks the number of such modules seen so far
// Let's assume that the maximum version QR Code we support takes up 1/4 the height of the
// image, and then account for the center being 3 modules in size. This gives the smallest
// number of pixels the center could be, so skip this often. When trying harder, look for all
// QR versions regardless of how dense they are.
iSkip := (3 * maxI) div (4 * MAX_MODULES);
if (iSkip < MIN_SKIP) or (tryHarder)
then
iSkip := MIN_SKIP;
done := false;
stateCount := TArray<Integer>.Create(0, 0, 0, 0, 0);
try
i := (iSkip - 1);
while ((i < maxI) and (not done)) do
begin
// Get a row of black/white values
stateCount[0] := 0;
stateCount[1] := 0;
stateCount[2] := 0;
stateCount[3] := 0;
stateCount[4] := 0;
currentState := 0;
j := 0;
while (j < maxJ) do
begin
if (FImage[j, i]) then
begin
// Black pixel
if ((currentState and 1) = 1)
then
Inc(currentState);
Inc(stateCount[currentState]);
end else
begin
// White pixel
if ((currentState and 1) = 0) then
begin
// Counting black pixels
if (currentState = 4) then
begin
// A winner?
if TFinderPatternFinder.foundPatternCross(stateCount) then
begin
// Yes
confirmed := handlePossibleCenter(stateCount, i, j);
if (confirmed) then
begin
// Start examining every other line. Checking each line turned out to be too
// expensive and didn't improve performance.
iSkip := 2;
if (FhasSkipped)
then
done := haveMultiplyConfirmedCenters()
else
begin
rowSkip := findRowSkip();
if (rowSkip > stateCount[2]) then
begin
// Skip rows between row of lower confirmed center
// and top of presumed third confirmed center
// but back up a bit to get a full chance of detecting
// it, entire width of center of finder pattern
// Skip by rowSkip, but back off by stateCount[2] (size of last center
// of pattern we saw) to be conservative, and also back off by iSkip which
// is about to be re-added
Inc(i, ((rowSkip - stateCount[2]) - iSkip));
j := (maxJ - 1);
end;
end;
end else
begin
stateCount[0] := stateCount[2];
stateCount[1] := stateCount[3];
stateCount[2] := stateCount[4];
stateCount[3] := 1;
stateCount[4] := 0;
currentState := 3;
continue;
end;
// Clear state to start looking again
currentState := 0;
stateCount[0] := 0;
stateCount[1] := 0;
stateCount[2] := 0;
stateCount[3] := 0;
stateCount[4] := 0
end else
begin
// No, shift counts back by two
stateCount[0] := stateCount[2];
stateCount[1] := stateCount[3];
stateCount[2] := stateCount[4];
stateCount[3] := 1;
stateCount[4] := 0;
currentState := 3;
end;
end else
begin
Inc(currentState);
Inc(stateCount[currentState]);
end;
end else
// Counting white pixels
Inc(stateCount[currentState]);
end;
Inc(j);
end;
if foundPatternCross(stateCount) then
begin
confirmed := Self.handlePossibleCenter(stateCount, i, maxJ);
if (confirmed) then
begin
iSkip := stateCount[0];
if (FhasSkipped)
then
// Found a third one
done := self.haveMultiplyConfirmedCenters
end;
end;
Inc(i, iSkip);
end;
patternInfo := selectBestPatterns();
if (patternInfo = nil)
then
exit;
TFinderPatternHelpers.orderBestPatterns(patternInfo);
Result := TFinderPatternInfo.Create(patternInfo);
finally
resultInfo := nil;
stateCount := nil;
patternInfo := nil;
end;
end;
function TFinderPatternFinder.findRowSkip: Integer;
var
center: IFinderPattern;
firstConfirmedCenter: IResultPoint;
begin
Result := 0;
if (FPossibleCenters.Count > 1) then
begin
firstConfirmedCenter := nil;
for center in FPossibleCenters do
begin
if (center.Count >= 2) then
begin
if (firstConfirmedCenter <> nil) then
begin
FhasSkipped := true;
Result := Floor(Abs(firstConfirmedCenter.X - center.X) -
Abs(firstConfirmedCenter.Y - center.Y)) div 2;
exit;
end;
firstConfirmedCenter := center;
end
end
end;
end;
/// <param name="stateCount">count of black/white/black/white/black pixels just read
/// </param>
/// <returns> true iff the proportions of the counts is close enough to the 1/1/3/1/1 ratios
/// used by finder patterns to be considered a match
/// </returns>
class function TFinderPatternFinder.foundPatternCross(
const stateCount: TArray<Integer>): Boolean;
var
i, totalModuleSize,
count, moduleSize,
maxVariance: Integer;
begin
Result := false;
totalModuleSize := 0;
for i := 0 to Pred(5) do
begin
count := stateCount[i];
if (count = 0)
then
exit;
Inc(totalModuleSize, count);
end;
if (totalModuleSize < 7)
then
exit;
moduleSize := ((totalModuleSize shl 8) div 7);
maxVariance := (moduleSize div 2);
// Allow less than 50% variance from 1-1-3-1-1 proportions
Result := (Abs(moduleSize - (stateCount[0] shl INTEGER_MATH_SHIFT)) < maxVariance) and
(Abs(moduleSize - (stateCount[1] shl INTEGER_MATH_SHIFT)) < maxVariance) and
(Abs(3 * moduleSize - (stateCount[2] shl INTEGER_MATH_SHIFT)) < (3 * maxVariance)) and
(Abs(moduleSize - (stateCount[3] shl INTEGER_MATH_SHIFT)) < maxVariance) and
(Abs(moduleSize - (stateCount[4] shl INTEGER_MATH_SHIFT)) < maxVariance);
end;
function TFinderPatternFinder.handlePossibleCenter(stateCount: TArray<Integer>;
i, j: Integer): boolean;
var
stateCountTotal, index: Integer;
centerJ, centerI: Single;
center, point: IFinderPattern;
found: boolean;
estimatedModuleSize: Single;
begin
Result := false;
center := nil;
stateCountTotal := ((((stateCount[0] + stateCount[1]) + stateCount[2]) +
stateCount[3]) + stateCount[4]);
centerJ := TFinderPatternFinder.centerFromEnd(stateCount, j);
if (centerJ = -1)
then
exit;
centerI := self.crossCheckVertical(i, Floor(centerJ), stateCount[2],
stateCountTotal);
if (centerI = -1)
then
exit;
centerJ := crossCheckHorizontal(Floor(centerJ), Floor(centerI), stateCount[2],
stateCountTotal);
if ((centerJ <> -1) and (self.crossCheckDiagonal(Floor(centerI), Floor(centerJ), stateCount[2],
stateCountTotal))) then
begin
estimatedModuleSize := stateCountTotal / 7;
found := false;
index := 0;
while ((index < FPossibleCenters.Count)) do
begin
center := FPossibleCenters[index];
if (center.aboutEquals(estimatedModuleSize, centerI, centerJ)) then
begin
FPossibleCenters[index] := nil;
FPossibleCenters.Delete(index);
FPossibleCenters.Insert(index, center.combineEstimate(centerI, centerJ,
estimatedModuleSize));
found := true;
break;
end;
inc(index)
end;
if (not found) then
begin
point := TFinderPatternHelpers.CreateFinderPattern(centerJ, centerI, estimatedModuleSize);
FPossibleCenters.Add(point);
if Assigned(FresultPointCallback)
then
FresultPointCallBack(point);
end;
Result := true;
end;
end;
function TFinderPatternFinder.haveMultiplyConfirmedCenters: boolean;
var
confirmedCount, max, i: Integer;
totalModuleSize, average, totalDeviation: Single;
pattern: IFinderPattern;
begin
confirmedCount := 0;
totalModuleSize := 0;
max := FPossibleCenters.Count;
for pattern in FPossibleCenters do
begin
if (pattern.Count >= CENTER_QUORUM) then
begin
inc(confirmedCount);
totalModuleSize := totalModuleSize + pattern.estimatedModuleSize;
end;
end;
if (confirmedCount < 3) then
begin
result := false;
exit
end;
average := totalModuleSize / max;
totalDeviation := 0;
i := 0;
while ((i < max)) do
begin
pattern := FPossibleCenters[i];
totalDeviation := totalDeviation +
Abs(pattern.estimatedModuleSize - average);
inc(i)
end;
result := (totalDeviation <= (0.05 * totalModuleSize));
end;
function TFinderPatternFinder.selectBestPatterns: TArray<IFinderPattern>;
var
average, square, totalModuleSize: Double;
size, stdDev, limit, avrsng: Single;
center, possibleCenter, pattern: IFinderPattern;
startSize, i: Integer;
comparator: IComparer<IFinderPattern>;
begin
startSize := FPossibleCenters.Count;
if (startSize < 3) then
begin
result := nil;
exit
end;
if (startSize > 3) then
begin
totalModuleSize := 0;
square := 0;
for center in FPossibleCenters do
begin
size := center.estimatedModuleSize;
totalModuleSize := totalModuleSize + size;
square := square + (size * size);
end;
average := totalModuleSize / startSize;
stdDev := Sqrt((square / startSize) - (average * average));
// this intermediate assignment is a workaround for old-gen compilers
// that are not deallocating TFurthestFromAverageComparator instance
// (bug verified on XE8: just declare a destructor Destroy override
// in TFurthestFromAverageComparator put a breakpoint in it and see
// that the destructor never gets called if you don't use this intermediate
// assignment)
avrsng := average;
comparator := TFurthestFromAverageComparator.Create(avrsng);
FPossibleCenters.Sort(comparator);
limit := System.Math.Max((0.2 * avrsng), stdDev);
i := 0;
while (((i < FPossibleCenters.Count) and
(FPossibleCenters.Count > 3))) do
begin
pattern := FPossibleCenters[i];
if (Abs(pattern.estimatedModuleSize - average) > limit) then
begin
FPossibleCenters.Delete(i);
dec(i)
end;
inc(i)
end
end;
if (FPossibleCenters.Count > 3) then
begin
totalModuleSize := 0;
for possibleCenter in FPossibleCenters do
begin
totalModuleSize := totalModuleSize + possibleCenter.estimatedModuleSize;
end;
average := totalModuleSize / FPossibleCenters.Count;
// this intermediate assignment is a workaround for old-gen compilers
// that are not deallocating TCenterComparator instance
// (bug verified on XE8: just declare a destructor Destroy override in
// TCenterComparator,put a breakpoint in it and see that the destructor
// never gets called if you don't use this intermediate assignment)
comparator := TCenterComparator.Create(average);
FPossibleCenters.Sort( comparator );
// if (PossibleCenters.Count > 4) then
// begin
// self.PossibleCenters.DeleteRange(4, self.PossibleCenters.Count - 1);
// end;
end;
result := TArray<IFinderPattern>.Create(FPossibleCenters[0],
FPossibleCenters[1], FPossibleCenters[2]);
end;
{ TFurthestFromAverageComparator }
function TFurthestFromAverageComparator.Compare(const Left,
Right: IFinderPattern): Integer;
var
dA, dB: Single;
begin
dA := Abs(Right.estimatedModuleSize - self.average);
dB := Abs(Left.estimatedModuleSize - self.average);
if (dA < dB) then
begin
result := -1;
end
else if (dA = dB) then
begin
result := 0;
end
else
result := 1;
end;
constructor TFurthestFromAverageComparator.Create(f: Single);
begin
average := f;
end;
{ TCenterComparator }
function TCenterComparator.Compare(const Left, Right: IFinderPattern): Integer;
var
dA, dB: Single;
begin
if (Right.Count = Left.Count) then
begin
dA := Abs(Right.estimatedModuleSize - self.average);
dB := Abs(Left.estimatedModuleSize - self.average);
if (dA < dB) then
begin
result := 1;
end
else if (dA = dB) then
begin
result := 0;
end
else
result := -1;
exit;
end;
result := (Right.Count - Left.Count);
end;
constructor TCenterComparator.Create(f: Single);
begin
average := f;
end;
end.