增加测试文件

data/tetests/helloworld.txt

+input = read_tensor("./input2.csv");
+a = [[0.0, 0.], [0, 0.0]];
+b = 1;
+while 1 {
+   if b > 10 {
+   	break;
+   }
+   a = a + [[1.0, 0.], [0, 1.0]];
+   b = b + 1;
+}
+println(input);
+return a;

data/tetests/hs071.txt

+f = min(x1 * x4 * (x1 + x2 + x3) + x3);
+g1 = x1 * x2 * x3 * x4;
+g2 = x1^2 + x2^2 + x3^2 + x4^2;
+x_lower = [1, 1, 1, 1];
+x_upper = [5, 5, 5, 5];
+r1 = fmincon(f, [g1, g2], [25, 40], [2e19, 40], x_lower,x_upper,[x1,x2,x3,x4]);
+
+
+r2 = fmincon(min(x1 * x4 * (x1 + x2 + x3) + x3),
+        [x1 * x2 * x3 * x4, x1^2 + x2^2 + x3^2 + x4^2],
+        [25, 40], [2e19, 40],
+        [1,1,1,1],[5,5,5,5],[x1,x2,x3,x4]);
+println(r1);
+println(r2);
\ No newline at end of file

data/tetests/input2.csv

+re_4_4
+0.2393
+0.0493
+0.0493
+0.0493
+0.0493
+0.2393
+0.0493
+0.0493
+0.0493
+0.0493
+0.2393
+0.0493
+0.0493
+0.0493
+0.0493
+0.4173

data/tetests/milp_test.txt

+// 目标函数
+f = max((5*1)*x1+3*x2+2*x3+(10-3)*x4+4*x5);
+g = [2*x1 + (2*4)*x2 + 4*x3 + 2*x4 + max(1,5)*x5 <= 5*2];
+r = intlinprog(f, g, [1,1,1,1,1], [x1,x2,x3,x4,x5]);
+return r;
\ No newline at end of file