Matlab coder "Error indenting generated C code" - matlab

I am Trying to convert a MATLAB code to C++ using MATLAB coder but this error apears:
Error indenting generated C code
The error points to the name of the function itself and has no more explanations in it. can someone tell me what is this error?
here is the function i want to conver:
function [Report_Clustered,ClusterCounter_new]=InitClusterGenerator_test(Report_In,~,FreqEpsilon,DegreeEpsilon,~,ClusterCounter_old, BlockCount, Report_old)
Report_M = zeros(size(Report_In,1),size(Report_In,2),4);
for i=1:size(Report_In,1)
for j=1:size(Report_In,2)
Report_M(i,j,1)=Report_In(i,j,1);
Report_M(i,j,2)=Report_In(i,j,2);
Report_M(i,j,3)=0; % Cluster number that the point belongs to.
Report_M(i,j,4)=0;
Report_In{i,j}
end
end
ClusterCounter = 0;
for i=1:size(Report_M,1)
for j=1:size(Report_M,2)
if (Report_M(i,j,3) == 0)
ClusterCounter = ClusterCounter + 1;
Report_M(i,j,3) = ClusterCounter;
for ii=1:size(Report_M,1)
for jj=1:size(Report_M,2)
if (Report_M(ii,jj,3) == 0)
if (abs(Report_M(i,j,1)-Report_M(ii,jj,1))<FreqEpsilon &&...
(abs(Report_M(i,j,2)-Report_M(ii,jj,2)) <DegreeEpsilon ||...
abs(-360 + Report_M(i,j,2)-Report_M(ii,jj,2)) <DegreeEpsilon ||...
abs(360 + Report_M(i,j,2)-Report_M(ii,jj,2)) <DegreeEpsilon))
Report_M(ii,jj,3) = ClusterCounter;
end
end
end
end
end
end
end
if (BlockCount> 20 && ClusterCounter<4)
warning = 1;
end
ClusterCounter_new = ClusterCounter;
%clear Report_new;
flag = 0;
Report_new = zeros(ClusterCounter,size (Report_M, 2),4);
index = zeros(1, ClusterCounter_new);
for i = 1: size (Report_M, 1)
for j = 1: size (Report_M, 2)
for k = 1: ClusterCounter_new
if (Report_M(i,j,3) == k)
index(1,k) = index(1,k) + 1;
Report_new(k,index(1,k), 1:3) = Report_M(i,j,1:3);
flag = flag + 1;
end
end
end
end
for j = 1: size (Report_new, 2)
for i = 1: size (Report_new, 1)
if (Report_new(i,j,1) == 0)
Report_new(i,j,1:3) = Report_new(i,1,1:3);
end
end
end
%Report_new = Report;
MedoidF_old = zeros(1, size(Report_old,1));
MedoidA_old = zeros(1, size(Report_old,1));
for i=1:size(Report_old,1)
SumF = 0;
SumA = 0;
MinAngle = 361;
MaxAngle = -1;
for j=1:size(Report_old,2)
SumF = SumF + Report_old(i,j,1);
SumA = SumA + Report_old(i,j,2);
if Report_old(i,j,2) > MaxAngle
MaxAngle = Report_old(i,j,2);
elseif Report_old(i,j,2) < MinAngle
MinAngle = Report_old(i,j,2);
end
end
MedoidF_old(1, i) = SumF/size(Report_old,2);
if (MaxAngle - MinAngle) > 350
MedoidA_old(1, i) = 0;
else
MedoidA_old(1, i) = SumA/size(Report_old,2);
end
end
MedoidF_new = zeros(1, size(Report_new,1));
MedoidA_new = zeros(1, size(Report_new,1));
for i=1:size(Report_new,1)
SumF = 0;
SumA = 0;
MinAngle = 361;
MaxAngle = -1;
for j=1:size(Report_new,2)
SumF = SumF + Report_new(i,j,1);
SumA = SumA + Report_new(i,j,2);
if Report_new(i,j,2) > MaxAngle
MaxAngle = Report_new(i,j,2);
elseif Report_new(i,j,2) < MinAngle
MinAngle = Report_new(i,j,2);
end
end
MedoidF_new(1, i) = SumF/size(Report_new,2);
if (MaxAngle - MinAngle) > 350
MedoidA_new(1, i) = 0;
else
MedoidA_new(1, i) = SumA/size(Report_new,2);
end
end
TempCluster = zeros(1, size(Report_new, 1));
CurrentCluster = ClusterCounter_old;
for i = 1: 1: size(Report_new,1)
for j = 1: 1: size(Report_old,1)
if (abs(MedoidF_old(1,j)-MedoidF_new(1,i))<FreqEpsilon &&...
(abs(MedoidA_old(1,j)-MedoidA_new(1,i))<DegreeEpsilon ||...
abs(360 + MedoidA_old(1,j)-MedoidA_new(1,i))<DegreeEpsilon ||...
abs(-360 + MedoidA_old(1,j)-MedoidA_new(1,i))<DegreeEpsilon)) %%if the new cluster is the rest of an old cluster use the old one's index for it
TempCluster(1,i) = Report_old(j,1,3);
end
end
%%this part is for seperating the clusters which where in the collision state in the past time
if (TempCluster(1,i)>0) %%if the new cluster is one of the old ones the index should be set
for j = 1:1:size(Report_new, 2)
Report_new(i,j,3) = TempCluster(1,i);
Report_new(i,j,4) = 1;% Alive
end
else %%first search if the new cluster is a part of a newly found cluster found before this one
for j = 1: 1: i-1
if (abs(MedoidF_new(1,j)-MedoidF_new(1,i))<FreqEpsilon &&...
(abs(MedoidA_new(1,j)-MedoidA_new(1,i))<DegreeEpsilon ||...
abs(360 + MedoidA_new(1,j)-MedoidA_new(1,i))<DegreeEpsilon ||...
abs(-360 + MedoidA_new(1,j)-MedoidA_new(1,i))<DegreeEpsilon)) %%if the new cluster is the rest of an old cluster use the old one's index for it
TempCluster(1,i) = Report_new(j,1,3);
end
end
end
if (TempCluster(1,i)>0) %%if the new cluster is one of the old ones the index should be set
for j = 1:1:size(Report_new, 2)
Report_new(i,j,3) = TempCluster(1,i);
Report_new(i,j,4) = 1;% Alive
end
else %%new cluster is just began so it needs a new index
CurrentCluster = CurrentCluster + 1;
ClusterCounter_new = CurrentCluster;
TempCluster(1,i) = CurrentCluster;
for j = 1:1:size(Report_new, 2)
Report_new(i,j,3) = TempCluster(1,i);
Report_new(i,j,4) = 1; % Alive
end
end
end
NewClusters = zeros(1, size (Report_new, 1));
for i = 1: size(Report_new, 1)
NewClusters (1,i) = Report_new(i,1,3);
end
OldClusters = zeros(1, size (Report_old, 1));
OldClustersLine = zeros(1, size (Report_old, 1));
for i = 1: size(Report_old, 1)
OldClusters (1,i) = Report_old(i,1,3);
OldClustersLine (1, i) = i;
end
NumberOfDead = 0;
%clear AddDead;
AddDead = zeros (16,size(Report_new, 2),4);
if (BlockCount>10)
for i = 1: size (OldClusters, 2)
IsDead = 1;
for j = 1: size (NewClusters, 2)
if OldClusters(1, i) == NewClusters(1,j)
IsDead = 0;
end
end
if (IsDead == 1)
NumberOfDead = NumberOfDead + 1;
%clear TempLine;
TempLine = zeros(1, size(Report_old,2), 4);
TempLine(1,:,1:3) = Report_old(OldClustersLine(1, i),:,1:3);
for k= 1: size(TempLine, 2)
TempLine(1,k,4) = 0; % Dead
end
TempSize = size(TempLine, 2);
Thresh = size(Report_new, 2);
if (TempSize >= Thresh)
AddDead (NumberOfDead, 1:Thresh, 1:4) = TempLine(1,1:Thresh, 1:4);
else
for l = 1: Thresh-TempSize
TempLine(1, TempSize+l, 1:4) = TempLine(1, TempSize, 1:4);
end
AddDead (NumberOfDead, 1:Thresh, 1:4) = TempLine(1,1:Thresh, 1:4);
end
end
end
xR = size (Report_new,1);
if (NumberOfDead == 0)
Report_Clustered = zeros (size(Report_new,1),size(Report_new,2),size(Report_new,3));
else
Report_Clustered = zeros (size(Report_new,1) + NumberOfDead,size(Report_new,2),size(Report_new,3));
end
Report_Clustered (1:size(Report_new,1), :, :) = Report_new(:,:,:);
for i = 1: NumberOfDead
Report_Clustered(xR + i, :) = AddDead(i, :);
end
end
and I'm using matlab 2012a
Tnx.

From what you've said in the comments, it appears that you simply need to call
clear functions
from the command line before recompiling the function to allow Matlab to overwrite the files. See this Matlab forum or the documentation for clear for more detail.

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I think it is because:
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I have a vector. I want to remove outliers. I got bin and no of values in that bin. I want to remove all points based on the number of elements in each bin.
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I want to remove all points apearing less than 5 (in nelements). It means only first 2 elements in nelements( 55, 13 ) remains.
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You can do it along these lines:
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Does this do what you want?
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return;
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for i = 1:1:max(sizeN)
if n(i) < binCountRemove
a = c(i) - intervalSize / 2;
b = c(i) + intervalSize / 2;
sizeTemp = size(temp);
removeInds = [];
k = 0;
for j = 1:1:max(sizeTemp)
if and(temp(j) > a, less_equal(temp(j), b) == 1)
k = k + 1;
removeInds(k) = j;
end
end
temp(removeInds) = [];
end
end
filter_hist = transpose(temp);
%Determines when 'a' less or equal to 'b' by accuracy
function less_equal = less_equal(a, b)
delta = 10^-6; %Accuracy
if a < b
less_equal = 1;
return;
end
if abs(b - a) < delta
less_equal = 1;
return;
end
less_equal = 0;
You can do something like this
nelements=nelements((nelements >5))

incapsulation of a code inmatlab

my code is
pathname=uigetdir;
filename=uigetfile('*.txt','choose a file name.');
data=importdata(filename);
element= (data.data(:,10));
in_array=element; pattern= [1 3];
locations = cell(1, numel(pattern));
for p = 1:(numel(pattern))
locations{p} = find(in_array == pattern(p));
end
idx2 = [];
for p = 1:numel(locations{1})
start_value = locations{1}(p);
for q = 2:numel(locations)
found = true;
if (~any((start_value + q - 1) == locations{q}))
found = false;
break;
end
end
if (found)
idx2(end + 1) = locations{1}(p);
end
end
[m2,n2]=size(idx2)
res_name= {'one' 'two'};
res=[n n2];
In this code I finding a pattern in one of the column of my data file and counting how many times it's repeated.
I have like 200 files that I want to do the same with them but unfotunatlly I'm stuck.
this is what I have added so far
pathname=uigetdir;
files=dir('*.txt');
for k=1:length(files)
filename=files(k).name;
data(k)=importdata(files(k).name);
element{k}=data(1,k).data(:,20);
in_array=element;pattern= [1 3];
locations = cell(1, numel(pattern));
for p = 1:(numel(pattern))
locations{p} = find(in_array{k}== pattern(p));
end
idx2{k} = [];
how can I continue this code..??
OK, first define this function:
function [inds, indsy] = findPattern(M, pat, dim)
indices = [];
if nargin == 2
dim = 1;
if size(M,1) == 1
dim = 2; end
end
if dim == 1
if numel(pat) > size(M,1)
return; end
for ii = 1:size(M,2)
inds = findPatternCol(M(:,ii), pat);
indices = [indices; repmat(ii,numel(inds),1) inds]%#ok
end
elseif dim == 2
if numel(pat) > size(M,2)
return; end
for ii = 1:size(M,1)
inds = findPatternCol(M(ii,:).', pat);
indices = [indices; inds repmat(ii,numel(inds),1)]%#ok
end
else
end
inds = indices;
if nargout > 1
inds = indices(:,1);
indsy = indices(:,2);
end
end
function indices = findPatternCol(col, pat)
inds = find(col == pat(1));
ii = 1;
prevInds = [];
while ~isempty(inds) && ii<numel(pat) && numel(prevInds)~=numel(inds)
prevInds = inds;
inds = inds(inds+ii<=numel(col) & col(inds+ii)==pat(ii+1));
ii = ii + 1;
end
indices = inds(:);
end
which is decent but probably not the most efficient. If performance becomes a problem, start here with optimizations.
Now loop through each file like so:
pathname = uigetdir;
files = dir('*.txt');
indices = cell(length(files), 1);
for k = 1:length(files)
filename = files(k).name;
data(k) = importdata(files(k).name);
array = data(1,k).data(:,20);
pattern = [1 3];
indices{k} = findPattern(array, pattern);
end
The number of occurrences of the pattern can be found like so:
counts = cellfun(#(x)size(x,1), indices);