大量新函数

MATLAB.DataFun.
MeanSem
MinSubs

MATLAB.DataTypes.
CatMode
Cell2Mat
DimensionFun
FolderFun

MATLAB.Graph2D
MATLAB.Graph3D
MATLAB.Graphics
MATLAB.IOFun.DelimitedStrings2Table

+MATLAB/+DataTypes/CatMode.m

@@ -0,0 +1,14 @@
+classdef CatMode
+	enumeration
+		%Function的返回值为标量
+		Scalar
+		%SplitDimensions为标量，且Function的返回值为类型、PackDimensions维度上尺寸均相同的数组
+		Linear
+		%Function的返回值为数值、逻辑、字符或字段相同的结构体数组，且尺寸完全相同
+		EsNlcs
+		%Function的返回值为数组，允许尺寸不同，但最终可以拼接成一整个大数组
+		CanCat
+		%不符合上述任何条件，或返回值为函数句柄
+		DontCat
+	end
+end

+MATLAB/+DataTypes/private/DFSuperCat.m

@@ -0,0 +1,16 @@
+function varargout = DFSuperCat(varargout,CM,SplitDimensions)
+import MATLAB.DataTypes.CatMode
+switch CM
+	case CatMode.Scalar
+		varargout=cellfun(@cell2mat,varargout,"UniformOutput",false);
+	case CatMode.Linear
+		if isempty(SplitDimensions)
+			%这里不能使用varargout=horzcat(varargout{:})，因为varargout元胞里有可能是空的
+			varargout=cellfun(@(Out)vertcat(Out{:}),varargout,"UniformOutput",false);
+		else
+			varargout=cellfun(@(Out)cat(SplitDimensions,Out{:}),varargout,"UniformOutput",false);
+		end
+	case CatMode.CanCat
+		varargout=cellfun(@MATLAB.DataTypes.Cell2Mat,varargout,"UniformOutput",false);
+end
+end

+MATLAB/+Graph3D/private/ColorDistribute.m

@@ -0,0 +1,26 @@
+function [Colors,Md] = ColorDistribute(NumberOfColorsToSuggest,ColorsToAvoid)
+arguments
+    NumberOfColorsToSuggest(1,1)uint8
+end
+arguments(Repeating)
+    ColorsToAvoid(3,:)uint8
+end
+ColorsToAvoid=gpuArray([ColorsToAvoid{:}]);
+SizeColor=width(ColorsToAvoid)+NumberOfColorsToSuggest;
+DimensionSplit=ceil(double(SizeColor)^(1/3));
+if ~isempty(ColorsToAvoid)
+    Cta=floor(double(ColorsToAvoid)/256*DimensionSplit);
+    AvoidIndices=(Cta(1,:)*DimensionSplit+Cta(2,:))*DimensionSplit+Cta(3,:);
+else
+    AvoidIndices=[];
+end
+PossibleIndices=setdiff(0:DimensionSplit^3-1,AvoidIndices);
+StartPoints=PossibleIndices(randsample(length(PossibleIndices),NumberOfColorsToSuggest));
+StartBs=mod(StartPoints,DimensionSplit);
+StartPoints=(StartPoints-StartBs)/DimensionSplit;
+StartGs=mod(StartPoints,DimensionSplit);
+StartPoints=(StartPoints-StartGs)/DimensionSplit;
+[Colors,Md]=TryCircle([[StartPoints;StartGs;StartBs]*255/(DimensionSplit-1) ColorsToAvoid],[SizeColor SizeColor],NumberOfColorsToSuggest);
+Colors=gather(uint8(Colors(:,1:NumberOfColorsToSuggest)));
+Md=sqrt(double(Md));
+end

+MATLAB/+Graph3D/private/MinDistance.m

@@ -0,0 +1,12 @@
+function [M,I]=MinDistance(Colors,NumberOfVariables)
+Colors=double(Colors);
+NumberOfColors=width(Colors);
+Color1Matrix=repmat(Colors,1,1,NumberOfColors);
+Color2Matrix=repmat(permute(Colors,[1 3 2]),1,NumberOfColors,1);
+Distance=squeeze(sum((Color1Matrix-Color2Matrix).^2,1));
+Distance(logical(eye(NumberOfColors)))=Inf;
+Distance(NumberOfVariables+1:end,NumberOfVariables+1:end)=Inf;
+[M,I]=min(Distance,[],"all","linear");
+M=gather(M);
+I=gather(I);
+end

+MATLAB/+Graph3D/private/TryCircle.m

@@ -0,0 +1,27 @@
+function [Colors,Md]=TryCircle(Colors,SizeColors,NumberOfColorsToSuggest)
+Colors=int16(Colors);
+[Md,MinInd]=MinDistance(Colors,NumberOfColorsToSuggest);
+FirstTime=true;
+while true
+    [Index1,Index2]=ind2sub(SizeColors,MinInd);
+    if Index1<=NumberOfColorsToSuggest
+        [Colors,M,MinIndNew]=TryColor(Colors,Index1,Md,NumberOfColorsToSuggest,MinInd,FirstTime);
+        FirstTime=false;
+        if M>Md||M==Md&&MinIndNew~=MinInd
+            Md=M;
+            MinInd=MinIndNew;
+            continue;
+        end
+    end
+    if Index2<=NumberOfColorsToSuggest
+        [Colors,M,MinIndNew]=TryColor(Colors,Index2,Md,NumberOfColorsToSuggest,MinInd,FirstTime);
+        FirstTime=false;
+        if M>Md||M==Md&&MinIndNew~=MinInd
+            Md=M;
+            MinInd=MinIndNew;
+            continue;
+        end
+    end
+    break;
+end
+end

+MATLAB/+Graph3D/private/TryColor.m

@@ -0,0 +1,33 @@
+function [Colors,Md,MinInd]=TryColor(Colors,Index,Md,NumberOfColorsToSuggest,MinInd,FirstTime)
+persistent RGBs Untried
+if isempty(RGBs)
+    RGBs=gpuArray(int32(cat(4,repmat((0:255)',1,256,256),repmat(0:255,256,1,256),repmat(shiftdim(0:255,-1),256,256))));
+end
+if FirstTime
+    Untried=true(256,256,256,"gpuArray");
+end
+Colors=int32(Colors);
+PossibleDistances=sum((RGBs-permute(Colors(:,[1:Index-1 Index+1:end]),[3 4 5 1 2])).^2,4);
+Candidates=find(all(PossibleDistances>Md,5)&Untried);
+if isempty(Candidates)
+    Candidates=find(all(PossibleDistances==Md,5)&Untried);
+end
+if ~isempty(Candidates)
+    if numel(Candidates)>1
+        NewColor=gather(randsample(Candidates,1));
+    else
+        NewColor=gather(Candidates);
+    end
+    [NewR,NewG,NewB]=ind2sub([256 256 256],NewColor);
+    NewColor=squeeze(RGBs(NewR,NewG,NewB,:));
+    Colors(:,Index)=NewColor;
+    [M,MinInd]=MinDistance(Colors,NumberOfColorsToSuggest);
+    if M>Md
+        Untried=true(256,256,256);
+        Untried(NewColor(1)+1,NewColor(2)+1,NewColor(3)+1)=false;
+        Md=M;
+    else
+        Untried(NewColor(1)+1,NewColor(2)+1,NewColor(3)+1)=false;
+    end
+end
+end

+MATLAB/+ImageSci/@OmeTiff/OmeTiff.m

@@ -183,5 +183,10 @@ function setTag(obj,varargin)
 		Concatenate(OutputFile,Dimension,varargin)
 		Transcode(From,FromDimensionOrder,options)
 		Rename(From,To)
+		function Image5D=ReadAll(TiffPath)
+			TiffPath=MATLAB.ImageSci.OmeTiff(TiffPath);
+			Image5D=TiffPath.Read5D;
+			TiffPath.close;
+		end
 	end
 end

+MATLAB/Version.m

@@ -1,2 +1,2 @@
 function V = Version
-V.Me='2.4.0';
+V.Me='2.5.0';