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To monitor cryptocurrency exchange rates trader William invented a wonderful device consisting of n lights arranged in a row. The device functions in the following way:

Initially, all lights on William's device are turned off. At the beginning of a new iteration the device randomly, with a uniform distribution, picks a light that is turned off and turns it on, telling William which cryptocurrency he should invest in. After this iteration if any k consecutive lights contain more than one turned on light, then the device finishes working.

William doesn't like uncertainty, so he wants you to calculate the expected value of the number of lights that are turned on in the device after it finishes working.

Input

Each test contains multiple test cases. The first line contains the number of test cases t (1 ≤ t ≤ 10). Description of the test cases follows.

The only line for each test case contains two integers n and k (2 ≤ k ≤ n ≤ 10^5), which are the total number of lights and the length of subsegment of lights that are being checked, respectively.

Output

For each test case print the answer, modulo 10^9+7. 

Formally, let M = 10^9+7. It can be shown that the answer can be expressed as an irreducible fraction p/q, where p and q are integers and q not ≡ 0 \pmod{M}. Output the integer equal to p ⋅ q^{-1} mod M. In other words, output such an integer x that 0 ≤ x < M and x ⋅ q ≡ p \pmod{M}.

Example

Input


3
3 2
15 2
40 15


Output


333333338
141946947
329622137

Note

Explanation of the first sample test case:

Let's write out all possible sequences of light toggles, which will make the device complete its operation:

  1. (1, 2) — 2 lights are turned on 
  2. (1, 3, 2) — 3 lights are turned on 
  3. (2, 1) — 2 lights are turned on 
  4. (2, 3) — 2 lights are turned on 
  5. (3, 2) — 2 lights are turned on 
  6. (3, 1, 2) — 3 lights are turned on 



Then the final expected value will be equal to 2/6 + 3/6 + 2/6 + 2/6 + 2/6 + 3/6 = 14/6 = 7/3. 

Then the required output will be 333333338, since 333333338 ⋅ 3 ≡ 7 \pmod{10^9+7}.
#include <bits/stdc++.h>

using namespace std;

#define _ ios_base::sync_with_stdio(0);cin.tie(0);
#define endl '\n'

typedef long long ll;

const int MOD = 1e9 + 7;
const int MAX = 1e5+10;

ll inv(ll a, ll b=MOD) {
	return a > 1 ? b - inv(b%a, a)*b/a : 1;
}

ll fat[MAX];
ll choose(ll a, ll b) {
	if (a < b) return 0;
	return fat[a]*inv(fat[b])%MOD*inv(fat[a-b])%MOD;
}

int main(){ _
	// A valid state is a state where there is no segment with at least two lights on
	// Let p_i the the probability of a state with i lights turned on be a valid state
	// The expected number of lights turned on after the device finishes
	// is equal to 1 + sum 1<=i<=n of p_i 
	// The +1 arrives from the fact that we can always turn another light on,
	// then either the device ends, or we continue on a valid state

	fat[0] = 1;
	for (ll i = 1; i < MAX; i++) fat[i] = i * fat[i-1] % MOD;
	
	int t; cin >> t;
	while (t--) {
		ll n, k; cin >> n >> k;

		ll ans = 0;
		for (ll i = 1; i<=n; i++) {
			// Number of states with i lights on
			ll den = choose(n, i); 
			
			// For a state to be valid, we need (i-1)*(k-1) lights off
			// those lights will be placed between the i lights on
			// at the remaining positions, we place the i lights on
			ll valid = choose(n - (k-1)*(i-1), i);

			ans = (ans + valid*inv(den)%MOD)%MOD;
		}
		cout << (ans+1)%MOD << endl;
	}	
	
	exit(0);
}
