Should sensivity and specificity values always be reverse in Matlab?

I want to compare several methods by using sensivity and specififcity (Measures for performance evaluation) ,

I wrote these codes based on their formula that I studied in wikipedia

sensivity computaion function (rforest is the resault of random forest classifier and ytest is the test labels)

function [SVrforest] = allsensivitydata(rforest,ytest)
%UNTITLED Summary of this function goes here
%   Detailed explanation goes here
test_count=size(ytest,1);
tp_rf=0;tn_rf=0;fp_rf=0;fn_rf=0;
for i=1:test_count
    if(rforest(i)==1 && ytest(i)==1)
        tp_rf=tp_rf+1;
    end
    if(rforest(i)==2 && ytest(i)==2)
        tn_rf=tn_rf+1;
    end
    if(rforest(i)==2 && ytest(i)==1)
        fp_rf=fp_rf+1;
    end
    if(rforest(i)==1 && ytest(i)==2)
        fn_rf=fn_rf+1;
    end
end
SVrforest=(tp_rf)/(tp_rf+fn_rf);
end
 

specificity computation function:

function [SPrforest] = allspecificitydata(rforest, ytest)
%UNTITLED Summary of this function goes here
%   Detailed explanation goes here
test_count=size(ytest,1);
tp_rf=0;tn_rf=0;fp_rf=0;fn_rf=0;
for i=1:test_count
    if(rforest(i)==1 && ytest(i)==1)
        tp_rf=tp_rf+1;
    end
    if(rforest(i)==2 && ytest(i)==2)
        tn_rf=tn_rf+1;
    end
    if(rforest(i)==2 && ytest(i)==1)
        fp_rf=fp_rf+1;
    end
    if(rforest(i)==1 && ytest(i)==2)
        fn_rf=fn_rf+1;
    end
end
SPrforest=(tn_rf)/(tn_rf+fp_rf);
end

I searched and I think sensivity and specivity's range is [0 1], but my question Is that for high sensivity value ,should It's specificity always obtain low value, I mean their values should always be reverse?

forexample : for a classifier sensivity=1 and specificity=0.75 or another example sensivity=0 and specificity=54 Is It correct?

should I change the codes?