converting matlab code to c code readiness error - c

I want to convert my matlab code to c code.But when i am trying to do do lots of warnings are comping in the code readiness report. Although I have sorted out a lot of issues but still there are some functions which are not supported and i need some alternative.
Kindly tell me any alternative codes for the errors.
Let me be more specific: these are the lines of the function that are causing some issue-:
fn = fieldnames(pars); %current parametres fieldnames
main_fn = {'algorithm'};
pm_fn =
{'pm_tau','pm_window','pm_keypoints','pm_harris_prctile','pm_searchrange'};
m_fn =
{'window','range','tau','epsilon','growing','init_seeds_accept',
'seeds_accept','searchrange','searchrangeV',
'max_candidates','vis_step','mu','csbeta','csalgorithm','grow_version'};
Now in this it is saying that code generation only supports cell operations for varargin and vararout
the error screenshot

Related

Appending values to DataSet in Apache Flink

I am currently writing an (simple) analytisis code to sum time connected powerreadings. With the data being assumingly raw (e.g. disturbances from the measuring device have not been calculated out) I have to account for disturbances by calculation the mean of the first one thousand samples. The calculation of the mean itself is not a problem. I only am unsure of how to generate the appropriate DataSet.
For now it looks about like this:
DataSet<Tupel2<long,double>>Gyrotron_1=ECRH.includeFields('11000000000'); // obviously the line to declare the first gyrotron, continues for the next ten lines, assuming separattion of not occupied space
DataSet<Tupel2<long,double>>Gyrotron_2=ECRH.includeFields('10100000000');
DataSet<Tupel2<long,double>>Gyrotron_3=ECRH.includeFields('10010000000');
DataSet<Tupel2<long,double>>Gyrotron_4=ECRH.includeFields('10001000000');
DataSet<Tupel2<long,double>>Gyrotron_5=ECRH.includeFields('10000100000');
DataSet<Tupel2<long,double>>Gyrotron_6=ECRH.includeFields('10000010000');
DataSet<Tupel2<long,double>>Gyrotron_7=ECRH.includeFields('10000001000');
DataSet<Tupel2<long,double>>Gyrotron_8=ECRH.includeFields('10000000100');
DataSet<Tupel2<long,double>>Gyrotron_9=ECRH.includeFields('10000000010');
DataSet<Tupel2<long,double>>Gyrotron_10=ECRH.includeFields('10000000001');
for (int=1,i<=10;i++) {
DataSet<double> offset=Gyroton_'+i+'.groupBy(1).first(1000).sum()/1000;
}
It's the part in the for-loop I'm unsure of. Does anybody know if it is possible to append values to DataSets and if so how?
In case of doubt, I could always put the values into an array but I do not know if that is the wise thing to do.
This code will not work for many reasons. I'd recommend looking into the fundamentals of Java and the basic data structures and also in Flink.
It's really hard to understand what you actually try to achieve but this is the closest that I came up with
String[] codes = { "11000000000", ..., "10000000001" };
DataSet<Tuple2<Long, Double>> result = env.fromElements();
for (final String code : codes) {
DataSet<Tuple2<Long, Double>> codeResult = ECRH.includeFields(code)
.groupBy(1)
.first(1000)
.sum(0)
.map(sum -> new Tuple2<>(sum.f0, sum.f1 / 1000d));
result = codeResult.union(result);
}
result.print();
But please take the time and understand the basics before delving deeper. I also recommend to use an IDE like IntelliJ that would point to at least 6 issues in your code.

SWIFT OS X - multiple statements inside a closure statement, a debugging tool?

I am using the following code to filter a large array:
var arrayOfSelectedRowDetails = self.projectRowDetails.filter(
{ $0.projectNumber == self.projectNumberArray[selectedRow] }
)
Normally the code runs fine and I have no issues. But in one scenario (after I have deleted some management objects from the persistent store) and then rerun the code I am getting a EXC_BAD_ACCESS (code = 1, address=0x0) error at runtime.
I have set a break and stepped through the runtime of this statement. It is a large array built from a core data entity (using a fetch statement) - and therefore takes a long time. When I step through the code over the first dozen or so indexes the code runs ok - when i remove the break and let it run it then presents the error.
Is it possible to println() from within the closure statement to assist with debugging? I have tried a number of different syntaxes and cannot get it to work.
Alternatively, is it possible to set an error capture statement within the closure so that the code ceases through a break or an abort() statement?
Fundamentally i am trying to identify the index of the array at the point that the error occurs so that I can get sufficient information to debug the delete function (which is where I think the error is). I do not seem to be able to ascertain the index from the info available to me when the error occurs.
This is the first time I have tried programming in Swift and making use of closures so I am learning as I go. Apologies if I am asking fundamental questions. I have not been able to find a similar question elsewhere here with an answer that works.
You can set an exception breakpoint in Xcode (for an example see here).
Also, I suggest that you move the access to self.projectNumberArray out of the closure:
let pn = self.projectNumberArray[selectedRow]
var arrayOfSelectedRowDetails = self.projectRowDetails.filter(
{ $0.projectNumber == pn }
)
The change might not solve the issue, but it will at least help the debugging.
Lastly, if you want to print the index, the following approach will probably work:
let pn = self.projectNumberArray[selectedRow]
var index = 0
var arrayOfSelectedRowDetails = self.projectRowDetails.filter(
{ println(index++); return $0.projectNumber == pn }
)

SWIG R wrapper not setting class properly/Create R object from C memory pointer

I have a SWIG generated R wrapper which contains the following setClass operations:
setClass('_p_f_p_struct_parameters_p_struct_chromosome_p_struct_dataSet__double',
prototype = list(parameterTypes = c('_p_parameters', '_p_chromosome', '_p_dataSet'),
returnType = '_p_f_p_struct_parameters_p_struct_chromosome_p_struct_dataSet__double'),
contains = 'CRoutinePointer')
setClass('_p_f_p_struct_parameters_p_p_struct_chromosome_p_p_struct_chromosome_int_int__void',
prototype = list(parameterTypes = c('_p_parameters', '_p_p_chromosome', '_p_p_chromosome', '_int', '_int'),
returnType = '_p_f_p_struct_parameters_p_p_struct_chromosome_p_p_struct_chromosome_int_int__void'),
contains = 'CRoutinePointer')
These operation do not appear to be behaving as expected. When I call a function with the output being the creation of a _p_parameters object (defined above), I get the following error:
Error in getClass(Class, where = topenv(parent.frame())) :
“_p_parameters” is not a defined class
The setClass therefore seems to be not doing it's thing.
I tried to manually set the _p_parameters class via:
p_parameters<-setClass(Class="_p_parameters", representation = representation(ref = "externalptr"))
But this does not seem to work as when I try and modify other parameters (or even print parameters via an inbuilt function) the terminal crashes and hangs.
For reference, the final lines in initialiseParameters (the function which initially own _p_parameters) are calling the native C function via .Call then assigning the external pointer to a new object of class _p_paramters as follows:
;ans = .Call('R_swig_initialiseParameters', numInputs, numNodes, numOutputs, arity, as.logical(.copy), PACKAGE='cgp');
ans <- new("_p_parameters", ref=ans) ;
I've read various R doc on new(), setClass, S3/S4 classes but nothing seems to clarify what I'm meant to be doing here.
Any suggestions on where to start or tutorials that would give a good heads up would be most welcome.
Please keep in mind the C code is not mine (but is freely available under GNU), I am not a C programmer and am only weakly-moderately proficient in R. So please be gentle :)
Cheers.
PS: If I call the function in R terminal via .Call it works as expected (so it doesn't seem to e a C function error)
I thought I should post the solution I have to this. The least I could do for a 'tumbleweed' medal haha.
The only solution I could find to this is to comment out the following line:
ans <- new("_p_parameters", ref=ans) ;
in all function that try to create an R object.
The resulting memory pointer is then assigned to an R object at function call.
It's dirty, but I couldn't work out how to create an object from a memory pointer (at least from within the functions themselves).
It seems to work so I guess it will do.

how to use arima.rob

does anyone use arima.rob() function described by Eric Zivot and Jiahui Wang in { Modelling Financial Time Series with S-PLUS } ?
I have a question about it:
I used a dataset of network traffic flows that has anomaly, and I tried to predict the last part of dataset by robust ARIMA method (Arima.rob() function) .I compare this model with arima.mle of S-PLUS. But Unexpectedly, arima.rob’s prediction did not better than that.
I’m not sure my codes are correct and may be the reason of fault is my codes.
Please, help me if I used Arima.rob inappropriately?
tmp.rr<-arima.rob((tmh75)~1,p=2,d=1,q=2,freq=24,maxiter=4,max.fcal=80000)
tmp.for<-predict(tmp.rr,n.predict=10,newdata=df1,se=T)
plot(tmp.for,tmh75)
summary(tmp.for)
my code for classic arima:
`model <- list(list(order=c(2,1,2)),list(order=c(3,1,2),period=24))
fith <- arima.mle(tmh75-mean(tmh75),model=model)
foreh <- arima.forecast(tmh75,n=25,model=fith$model)
tsplot(tmh75,foreh$mean,foreh$mean+foreh$std.err,foreh$mean-foreh$std.err)
`

Accessing the methods of a preprocessor name dataset in Progress 4GL

I'm trying to access the methods of a dataset in Progress, where the dataset is defined as a preprocessor item. I'm just learning 4GL... maybe this isn't even possible? Here is the scenario in code:
/*My Procedure*/
{Receipt/Receipt_ds.i}
def var hReceipt as handle no-undo.
def var hDataSet as handle no-undo.
run Receipt/Receipt.p persistent set hReceipt.
run GetData in hReceipt ({&input-output_dataset_ReceiptDataSet}).
/* do some stuff */
/* get the handle to the dataset??? Obvious syntax issue here. */
hDataSet = DATASET {&input-output_dataset_ReceiptDataSet}:HANDLE.
/* Empty the DataSet (this is what I want to do)*/
hDataSet:EMPTY-DATASET().
and here's my include file:
/*Receipt/Recipt_ds.i*/
define dataset ReceiptDataSet for
ttRcvHead,
ttRcvDtl,
data-relation for ttRcvHead, ttRcvDtl relation-fields(
stuff, stuff
).
&global-define input-output_dataset_ReceiptDataSet input-output dataset ReceiptDataSet
Clearly my code does not have the correct syntax as mentioned in my comment. Does anyone know what the right way of doing this would be?
This piece:
hDataSet = DATASET {&input-output_dataset_ReceiptDataSet}:HANDLE
is doing this:
hDataSet = DATASET input-output dataset ReceiptDataSet:HANDLE
which isn't working as you've discerned. You need to get to this form instead:
hDataSet = DATASET ReceiptDataSet:HANDLE
If you put a
&GLOBAL-DEFINE pdsName ReceiptDataSet
in your include file and then referenced that where appropriate, then this construct would work:
hDataSet = DATASET {&pdsName}:HANDLE
For starters you need to define a pre-processor before you attempt to use it.
Not at the end of the file.
The next thing that comes to mind is why? Why are you trying to use a pre-processor for this purpose? It clearly isn't to make the code any shorter or more understandable. One reason might be because your code snippet is some sort of common template but that doesn't seem to be the case here.

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