fn main() {
    input! {
        n: usize,
        m: usize,
        e: [(usize1, usize1); m],
    }
    let mut g = vec![0usize; n];
    for &(a, b) in e.iter() {
        assert!(a.max(b) < n);
        assert!(a != b);
        assert!(g[a] >> b & 1 == 0);
        g[a] |= 1 << b;
        g[b] |= 1 << a;
    }
    let mut res = vec![0u64; 1 << n];
    for (s, h) in g.iter().enumerate().rev() {
        let g = &g[..s];
        let res = &mut res[(1 << s)..];
        res[0] = 1;
        let mut dp = vec![vec![0; 1 << s]; s];
        for i in 0..s {
            if *h >> i & 1 == 1 {
                dp[i][1 << i] = 1;
            }
        }
        for bit in 2usize..(1 << s) {
            let k = bit.trailing_zeros() as usize;
            for (src, g) in g.iter().enumerate() {
                if *g >> k & 1 == 0 {
                    continue;
                }
                let dp_s = std::mem::take(&mut dp[src]);
                let v = &dp_s[(bit - (1 << k))..bit];
                for (dp, v) in dp[k][bit..].iter_mut().zip(v.iter()) {
                    *dp += *v;
                }
                dp[src] = dp_s;
            }
            if bit.count_ones() > 1 {
                for (dp, g) in dp.iter().zip(g.iter()) {
                    if *g >> s & 1 == 1 {
                        res[bit] += dp[bit];
                    }
                }
            }
        }
    }
    let mut dp = res;
    for (i, dp) in dp.iter_mut().enumerate() {
        if i.count_ones() > 1 {
            *dp /= 2;
        }
    }
    for &(a, b) in e.iter() {
        let mask = (1 << a) | (1 << b);
        let l = dp
            .iter()
            .enumerate()
            .filter(|p| p.0 & mask == 1 << a)
            .map(|p| *p.1)
            .collect::<Vec<_>>();
        let r = dp
            .iter()
            .enumerate()
            .filter(|p| p.0 & mask == 1 << b)
            .map(|p| *p.1)
            .collect::<Vec<_>>();
        let c = subset_convolution(&l, &r);
        let it = dp
            .iter_mut()
            .enumerate()
            .filter(|p| p.0 & mask == mask)
            .map(|p| p.1);
        for (dp, c) in it.zip(c) {
            *dp += c;
        }
    }
    let ans = subset_exp(&dp)[(1 << n) - 1];
    println!("{}", ans);
}

// ---------- begin input macro ----------
// reference: https://qiita.com/tanakh/items/0ba42c7ca36cd29d0ac8
#[macro_export]
macro_rules! input {
    (source = $s:expr, $($r:tt)*) => {
        let mut iter = $s.split_whitespace();
        input_inner!{iter, $($r)*}
    };
    ($($r:tt)*) => {
        let s = {
            use std::io::Read;
            let mut s = String::new();
            std::io::stdin().read_to_string(&mut s).unwrap();
            s
        };
        let mut iter = s.split_whitespace();
        input_inner!{iter, $($r)*}
    };
}

#[macro_export]
macro_rules! input_inner {
    ($iter:expr) => {};
    ($iter:expr, ) => {};
    ($iter:expr, $var:ident : $t:tt $($r:tt)*) => {
        let $var = read_value!($iter, $t);
        input_inner!{$iter $($r)*}
    };
}

#[macro_export]
macro_rules! read_value {
    ($iter:expr, ( $($t:tt),* )) => {
        ( $(read_value!($iter, $t)),* )
    };
    ($iter:expr, [ $t:tt ; $len:expr ]) => {
        (0..$len).map(|_| read_value!($iter, $t)).collect::<Vec<_>>()
    };
    ($iter:expr, chars) => {
        read_value!($iter, String).chars().collect::<Vec<char>>()
    };
    ($iter:expr, bytes) => {
        read_value!($iter, String).bytes().collect::<Vec<u8>>()
    };
    ($iter:expr, usize1) => {
        read_value!($iter, usize) - 1
    };
    ($iter:expr, $t:ty) => {
        $iter.next().unwrap().parse::<$t>().expect("Parse error")
    };
}
// ---------- end input macro ----------

pub fn subset_convolution<T>(a: &[T], b: &[T]) -> Vec<T>
where
    T: Ring + Copy,
{
    let size = a.len().next_power_of_two();
    assert!(size > 0 && a.len() == size && b.len() == size);
    let n = size.trailing_zeros() as usize;
    let mut x = vec![T::zero(); (n + 1) << n];
    let mut y = vec![T::zero(); (n + 1) << n];
    for (x, a) in [(&mut x, a), (&mut y, b)].iter_mut() {
        for (i, (x, a)) in x.chunks_exact_mut(n + 1).zip(a.iter()).enumerate() {
            x[i.count_ones() as usize] = *a;
        }
    }
    //    #[target_feature(enable = "avx2")]
    unsafe fn rec<T>(x: &mut [T], y: &mut [T], len: usize, cnt: usize)
    where
        T: Ring + Copy,
    {
        if x.len() == len {
            let mut buf = [T::zero(); 21];
            let buf = &mut buf[..len];
            let a = &x[..=cnt];
            let b = &y[..=cnt];
            for (i, x) in a.iter().enumerate() {
                let g = cnt - i;
                for (buf, y) in buf[(i + g)..].iter_mut().zip(b[g..].iter()) {
                    *buf = *buf + *x * *y;
                }
            }
            x.copy_from_slice(buf);
            return;
        }
        let m = x.len() / 2;
        let (a, b) = x.split_at_mut(m);
        let (c, d) = y.split_at_mut(m);
        let ba = b.iter_mut().zip(a.iter());
        let dc = d.iter_mut().zip(c.iter());
        for ((b, a), (d, c)) in ba.zip(dc) {
            *b = *b + *a;
            *d = *d + *c;
        }
        rec(a, c, len, cnt);
        rec(b, d, len, cnt + 1);
        for (b, a) in b.iter_mut().zip(a.iter()) {
            *b = *b - *a;
        }
    }
    unsafe {
        rec(&mut x, &mut y, n + 1, 0);
    }
    x.chunks_exact(n + 1)
        .enumerate()
        .map(|(i, x)| x[i.count_ones() as usize])
        .collect()
}

pub fn subset_exp<T>(a: &[T]) -> Vec<T>
where
    T: Ring + Copy,
{
    let size = a.len().next_power_of_two();
    assert!(size > 0 && a.len() == size && a[0].is_zero());
    let n = size.trailing_zeros() as usize;
    let mut res = Vec::with_capacity(size);
    res.push(T::one());
    res[0] = T::one();
    for i in 0..n {
        let t = subset_convolution(&res, &a[(1 << i)..(2 << i)]);
        res.extend(t);
    }
    res
}

pub trait Ring: Zero + One + Sub<Output = Self> {}

use std::ops::*;

pub trait Zero: Sized + Add<Self, Output = Self> {
    fn zero() -> Self;
    fn is_zero(&self) -> bool;
}

pub trait One: Sized + Mul<Self, Output = Self> {
    fn one() -> Self;
}

impl Zero for u64 {
    fn zero() -> Self {
        0
    }
    fn is_zero(&self) -> bool {
        *self == 0
    }
}

impl One for u64 {
    fn one() -> Self {
        1
    }
}

impl Ring for u64 {}