#D6103. Parametric Circulation

    ID: 5074 Type: Default 2000ms 256MiB

Parametric Circulation

Parametric Circulation

Vova has recently learned what a circulaton in a graph is. Recall the definition: let G = (V, E) be a directed graph. A circulation f is such a collection of non-negative real numbers f_e (e ∈ E), that for each vertex v ∈ V the following conservation condition holds:

$$$∑_{e ∈ \delta^{-}(v)} f_e = ∑_{e ∈ \delta^{+}(v)} f_e$ $$

where \delta^{+}(v) is the set of edges that end in the vertex v, and \delta^{-}(v) is the set of edges that start in the vertex v. In other words, for each vertex the total incoming flow should be equal to the total outcoming flow.

Let a lr-circulation be such a circulation f that for each edge the condition l_e ≤ f_e ≤ r_e holds, where l_e and r_e for each edge e ∈ E are two non-negative real numbers denoting the lower and upper bounds on the value of the circulation on this edge e.

Vova can't stop thinking about applications of a new topic. Right now he thinks about the following natural question: let the graph be fixed, and each value l_e and r_e be a linear function of a real variable t:

$l_e(t) = a_e t + b_e r_e(t) = c_e t + d_e$

Note that t is the same for all edges.

Let t be chosen at random from uniform distribution on a segment [0, 1]. What is the probability of existence of lr-circulation in the graph?

Input

The first line contains two integers n, m (1 ≤ n ≤ 1000, 1 ≤ m ≤ 2000).

Each of the next m lines describes edges of the graph in the format u_e, v_e, a_e, b_e, c_e, d_e (1 ≤ u_e, v_e ≤ n, -10^4 ≤ a_e, c_e ≤ 10^4, 0 ≤ b_e, d_e ≤ 10^4), where u_e and v_e are the startpoint and the endpoint of the edge e, and the remaining 4 integers describe the linear functions for the upper and lower bound of circulation.

It is guaranteed that for any t ∈ [0, 1] and for any edge e ∈ E the following condition holds 0 ≤ l_e(t) ≤ r_e(t) ≤ 10^4.

Output

Print a single real integer — the probability of existence of lr-circulation in the graph, given that t is chosen uniformly at random from the segment [0, 1]. Your answer is considered correct if its absolute difference from jury's answer is not greater than 10^{-6}.

Example

Input

3 3 1 2 0 3 -4 7 2 3 -2 5 1 6 3 1 0 4 0 4

Output

0.25

Note

In the first example the conservation condition allows only circulations with equal values f_e for all three edges. The value of circulation on the last edge should be 4 whatever t is chosen, so the probability is

$$$P(4 ∈ [3, -4t + 7]~~\&~~4 ∈ [-2t + 5, t + 6]) = 0.25$ $$

inputFormat

Input

The first line contains two integers n, m (1 ≤ n ≤ 1000, 1 ≤ m ≤ 2000).

Each of the next m lines describes edges of the graph in the format u_e, v_e, a_e, b_e, c_e, d_e (1 ≤ u_e, v_e ≤ n, -10^4 ≤ a_e, c_e ≤ 10^4, 0 ≤ b_e, d_e ≤ 10^4), where u_e and v_e are the startpoint and the endpoint of the edge e, and the remaining 4 integers describe the linear functions for the upper and lower bound of circulation.

It is guaranteed that for any t ∈ [0, 1] and for any edge e ∈ E the following condition holds 0 ≤ l_e(t) ≤ r_e(t) ≤ 10^4.

outputFormat

Output

Print a single real integer — the probability of existence of lr-circulation in the graph, given that t is chosen uniformly at random from the segment [0, 1]. Your answer is considered correct if its absolute difference from jury's answer is not greater than 10^{-6}.

Example

Input

3 3 1 2 0 3 -4 7 2 3 -2 5 1 6 3 1 0 4 0 4

Output

0.25

Note

In the first example the conservation condition allows only circulations with equal values f_e for all three edges. The value of circulation on the last edge should be 4 whatever t is chosen, so the probability is

$$$P(4 ∈ [3, -4t + 7]~~\&~~4 ∈ [-2t + 5, t + 6]) = 0.25$ $$

样例

3 3
1 2 0 3 -4 7
2 3 -2 5 1 6
3 1 0 4 0 4
0.2500000000

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