test_that("Determine the type of matrices of inputing", {

   expect_error(Node_versatility(c(1:10)),
                "please check the type of 'network.or.subnet_mat1'")
   expect_error(Node_versatility(c("a", "b", "c")),
                "please check the type of 'network.or.subnet_mat1'")
   expect_error(Node_versatility(c(T, F, F, T, NA)),
                "please check the type of 'network.or.subnet_mat1'")
   expect_error(Node_versatility(matrix(1:10,2,5),c("a", "b", "c")),
                "please check the type of 'network.or.subnet_mat1'")

   m1<-matrix(1:10,2,5)
   colnames(m1)<-paste0("species",seq=1:5)
   m2<-matrix(1:12,4,3)
   m3<-matrix(1:12,2,6)
   colnames(m3)<-c(paste0("species",seq=1:5),NA)
   m4<-matrix(1:10,2,5)
   colnames(m4)<-c(paste0("species",seq=1:4),NA)
   m5<-matrix(1:15,5,3)
   rownames(m5)<-c(paste0("species",seq=1:4),NA)
   m6<-matrix(1:15,5,3)
   rownames(m6)<-paste0("species",seq=2:6)
   m7<-matrix(1:18,6,3)
   rownames(m7)<-c(paste0("species",seq=c(1,3,2,5,4)),NA)
   m8<-matrix(1:18,6,3)
   rownames(m8)<-c(paste0("species",seq=c(1,3,2,4)),NA,NA)
   expect_error(Node_versatility(m1,m2),
                "Error: please check whether the column of mat1 is corresponding to the row of mat2!!!")
   expect_error(Node_versatility(m1,m7),
                "Error: please check whether the column of mat1 is corresponding to the row of mat2!!!")
   expect_error(Node_versatility(m1,m6),
                "Error: please check whether the column name of mat1 is corresponding to the row name of mat2!!!")
   expect_error(Node_versatility(m4,m5),
                "Error: There is NA in the column name of mat1 or the row name of mat2!!!")
   expect_error(Node_versatility(m3,m7),
                "Error: There is NA in the column name of mat1 or the row name of mat2!!!")
   expect_error(Node_versatility(m3,m8),
                "Error: please check whether the column name of mat1 is corresponding to the row name of mat2!!!")
})


test_that("Make sure the function is implemented", {
   m1<-matrix(sample(c(rep(1,5),rep(0,5))),2,5)
   colnames(m1)<-paste0("species",seq=1:5)
   m2<-matrix(sample(c(rep(1,7),rep(0,8))),5,3)
   rownames(m2)<-c(paste0("species",seq=c(1,3,2,5,4)))
   N<-Node_versatility(m1,m2)
   expect_identical(class(N),
                    "data.frame")
   expect_identical(ncol(N),
                    8L)
   expect_length(rownames(N),
                 10L)
})