implement matlab function code

I want to implement this steps of Recognition function within only 3 hours: Input: Feature matrix FTr of training images, and TrL, the corresponding labels Feature matrix FTs of testing images, and TsL, the corresponding labels Output: Accuracy Acc = 0; For each test image i , o extract the feature vector from FTs: y = FTs(…), extract three consecutive rows; o extract the corresponding label from TsL: ls = TsL (…); o For each training image j  extract the feature vector from FTr: r = FTs(…), extract three consecutive rows;  Compute Euclidean distance dk between each column of y and r and add up all the distances dj = .d1+d2+…+dk  Save dj EndFor o Sort the distances {d1, d2, …, dm} in ascending order and sort the corresponding lables TrL. o Choose the label lr at the top of sorted TrL. o If lr = ls, then prediction is correct increase Acc by 1, otherwise incorrect. End For Accuracy = Acc*100/Total number of test images