ci: workaround for v vet failing for v clean-code over the new v bench script (using \ in its path on windows).

vlib/v/tests/bench/bench_string_key_in_map_vs_string_value_in_array.v

@@ -16,55 +16,57 @@ import benchmark
 // SPENT   319.897 ms in sum: 1000000 | key in a_as_middle
 // SPENT     1.842 ms in sum: 1000000 | key in a_as_first
 
-max_iterations := os.getenv_opt('MAX_ITERATIONS') or { '1000' }.int()
-max_items := os.getenv_opt('MAX_ITEMS') or { '100' }.int()
-eprintln('> max_iterations: ${max_iterations} over max_items: ${max_items}')
-key := 'abc'
-mut sum := 0
-mut m := map[string]bool{}
-m[key] = true
-for _ in 0 .. max_items {
-	m[rand.string(20)] = true
-}
-a_as_first := m.keys()
-a_as_last := m.keys().reverse()
-mut a_as_middle := a_as_first[1..a_as_first.len / 2]
-a_as_middle << key
-a_as_middle << a_as_first[a_as_first.len / 2..]
-eprintln('> m.len: ${m.len} | a_as_first.len: ${a_as_first.len} | a_as_last.len: ${a_as_last.len} | a_as_middle.len: ${a_as_middle.len}')
+fn main() {
+	max_iterations := os.getenv_opt('MAX_ITERATIONS') or { '1000' }.int()
+	max_items := os.getenv_opt('MAX_ITEMS') or { '100' }.int()
+	eprintln('> max_iterations: ${max_iterations} over max_items: ${max_items}')
+	key := 'abc'
+	mut sum := 0
+	mut m := map[string]bool{}
+	m[key] = true
+	for _ in 0 .. max_items {
+		m[rand.string(20)] = true
+	}
+	a_as_first := m.keys()
+	a_as_last := m.keys().reverse()
+	mut a_as_middle := a_as_first[1..a_as_first.len / 2]
+	a_as_middle << key
+	a_as_middle << a_as_first[a_as_first.len / 2..]
+	eprintln('> m.len: ${m.len} | a_as_first.len: ${a_as_first.len} | a_as_last.len: ${a_as_last.len} | a_as_middle.len: ${a_as_middle.len}')
 
-mut b := benchmark.start()
-//
-sum = 0
-for _ in 0 .. max_iterations {
-	sum += int(m[key])
-}
-b.measure('sum: ${sum} | m[key]')
+	mut b := benchmark.start()
+	//
+	sum = 0
+	for _ in 0 .. max_iterations {
+		sum += int(m[key])
+	}
+	b.measure('sum: ${sum} | m[key]')
 
-sum = 0
-for _ in 0 .. max_iterations {
-	sum += int(key in m)
-}
-b.measure('sum: ${sum} | key in m')
+	sum = 0
+	for _ in 0 .. max_iterations {
+		sum += int(key in m)
+	}
+	b.measure('sum: ${sum} | key in m')
 
-//
-b = benchmark.start()
+	//
+	b = benchmark.start()
 
-//
-sum = 0
-for _ in 0 .. max_iterations {
-	sum += int(key in a_as_last)
-}
-b.measure('sum: ${sum} | key in a_as_last')
+	//
+	sum = 0
+	for _ in 0 .. max_iterations {
+		sum += int(key in a_as_last)
+	}
+	b.measure('sum: ${sum} | key in a_as_last')
 
-sum = 0
-for _ in 0 .. max_iterations {
-	sum += int(key in a_as_middle)
-}
-b.measure('sum: ${sum} | key in a_as_middle')
+	sum = 0
+	for _ in 0 .. max_iterations {
+		sum += int(key in a_as_middle)
+	}
+	b.measure('sum: ${sum} | key in a_as_middle')
 
-sum = 0
-for _ in 0 .. max_iterations {
-	sum += int(key in a_as_first)
+	sum = 0
+	for _ in 0 .. max_iterations {
+		sum += int(key in a_as_first)
+	}
+	b.measure('sum: ${sum} | key in a_as_first')
 }
-b.measure('sum: ${sum} | key in a_as_first')