Add dist() function in math.py

integration_tests/test_math.py

@@ -1,6 +1,6 @@
 from math import (factorial, isqrt, perm, comb, degrees, radians, exp, pow,
                   ldexp, fabs, gcd, lcm, floor, ceil, remainder, expm1, fmod, log1p, trunc,
-                  modf, fsum, prod)
+                  modf, fsum, prod, dist)
 import math
 from ltypes import i32, i64, f32, f64
 
@@ -220,6 +220,14 @@ def test_prod():
     res = prod(arr_f64)
     assert abs(res - 80.64) < eps
 
+def test_dist():
+    x: list[f64]
+    y: list[f64]
+    eps: f64 = 1e-12
+    x = [1.0, 2.2, 3.333, 4.0, 5.0]
+    y = [6.1, 7.2, 8.0, 9.0, 10.0]
+    assert abs(dist(x, y) - 11.081105044173166) < eps
+
 def test_modf():
     i: f64
     i = 3.14
@@ -268,6 +276,7 @@ def check():
     test_trunc()
     test_fsum()
     test_prod()
+    test_dist()
     test_modf()
     test_issue_1242()
 

src/runtime/math.py

@@ -207,6 +207,21 @@ def prod(arr: list[f64]) -> f64:
     return result
 
 
+def dist(x: list[f64], y: list[f64]) -> f64:
+    """
+    Return euclidean distance between `x` and `y` points.
+    """
+    if len(x) != len(y):
+         raise ValueError("Length of lists should be same")
+    res: f64
+    res = 0.0
+
+    i: i32
+    for i in range(len(x)):
+        res += (x[i] - y[i]) * (x[i] - y[i])
+    return res**0.5
+
+
 def comb(n: i32, k: i32) -> i32:
     """
     Computes the result of `nCk`, i.e, the number of ways to choose `k`