由相同的玻色子系集组成的力学系统等效于由一组振子组成的力学系统—这两个系统恰恰是从两种不同观点来看待的同一个系统,它使光的波动理论与微粒理论的統一得以实现。①
所有原子的量子态都束聚于一个单一的量子态的状态被称为玻色凝聚或玻色-爱因斯坦凝聚
制作玻色子力学系统与制作振子力学系统是同一个问题。所以假设神经网络系统相当于振子系统。如果这一假设是成功的，可以理解成所有振子最终处于同一个频率，也就是共享同一个能级，相当于玻色子处于同一个量子态，近似于模拟了玻色爱因斯坦凝聚。
假设一个场景
如图 按照公式
可以得到
如果ωa，ωb，ωc是已知的情况下ma，mb，mc是可以求出来的，而图C和图D是等价的。
再假设
可以得到
只要ω07, ωx0, ωx7是已知的ωx，ω0，ω7就都可以解出来。
现在假设弹簧并联过程就是分类的过程。
让一个二分类的网络模拟这个并联的过程。
制作一个带有1个3*3卷积核网络三层节点数分别是49*30*2的网络，分类minst的0和7，将28*28的图片缩小到9*9，让0向1，0收敛，让7向0，1收敛。将这个网络简写成
d2（minst0,7）81-con（3*3）49-30-2-（2*k） ,k∈(0,1)
就相当于A：m07=m0+m7
| 具体进样顺序 |
|||
| δ=0.1 |
|||
| 初始化权重 |
|||
| 迭代次数 |
|||
| minst 0-1 |
1 |
判断是否达到收敛 |
|
| minst 7-1 |
2 |
判断是否达到收敛 |
|
| 梯度下降 |
|||
| minst 0-2 |
3 |
判断是否达到收敛 |
|
| minst 7-2 |
4 |
判断是否达到收敛 |
|
| 梯度下降 |
|||
| …… |
|||
| minst 0-4999 |
9997 |
判断是否达到收敛 |
|
| minst 7-4999 |
9998 |
判断是否达到收敛 |
|
| 梯度下降 |
|||
| …… |
|||
| 如果4999图片内没有达到收敛标准再次从头循环 |
|||
| minst 0-1 |
9999 |
判断是否达到收敛 |
|
| minst 7-1 |
10000 |
判断是否达到收敛 |
|
| 梯度下降 |
|||
| …… |
|||
| 每当网路达到收敛标准记录迭代次数和对应的准确率测试结果 |
|||
| 将这一过程重复199次 |
|||
| δ=0.01 |
|||
| … |
|||
| δ=1e-7 |
|||
收敛条件是
if (Math.abs(f2[0]-y[0])< δ && Math.abs(f2[1]-y[1])< δ )
因为对应每个δ都有一个n与之对应，所以可以得到一条稳定的n（δ）曲线，这条曲线已经在《神经网络训练时间计算实例：二分类minst0，7》2019-1-31的文中测出来了。
再用同样的办法做另外的两个网络
d2（minstx,0）81-con（3*3）49-30-2-（2*k） ,k∈(0,1)
意思是用同样的网络分类minst的0和一张x图片，让0向1，0收敛，让x向0，1收敛
d2（minstx,7）81-con（3*3）49-30-2-（2*k） ,k∈(0,1)
意思是用同样的网络分类minst的7和一张x图片，让x向1，0收敛，让7向0，1收敛
这张图片x就是一个9*9的二维数组是固定不变的
double [][]x=new double[9][9];
for(int n=0 ;n<9;n++){
for(int m=0 ;m<9 ;m++){
x[n][m]=((double)(n+1)*(m+1)/100);
}}
相当于让三个对象两两分类，使其中的任何一个都成为其他两个的参照物。
A，B，C分别对应三个网络
d2（minst0,7）81-con（3*3）49-30-2-（2*k） ,k∈(0,1)
d2（minstx,0）81-con（3*3）49-30-2-（2*k） ,k∈(0,1)
d2（minstx,7）81-con（3*3）49-30-2-（2*k） ,k∈(0,1)
ωx0，ωx7都可以用实验的办法测出来。未知数ωx，ω0，ω7可以被解出来。
得到的具体数据是
| δ |
实测ω07 |
实测ωx0 |
实测ωx7 |
计算ωx |
计算ω0 |
计算ω7 |
| 0.1 |
2232.14573 |
2472.38693 |
2656.65327 |
3092.29466 |
2119.47044 |
2364.94095 |
| 0.01 |
3104.67337 |
3167.76382 |
3509.9598 |
3601.90913 |
2860.30693 |
3424.71089 |
| 0.001 |
4367.44724 |
4400.33668 |
4794.75377 |
4838.37354 |
4063.12987 |
4752.29287 |
| 1.00E-04 |
6468.62312 |
6164.71859 |
6832.50251 |
6477.22056 |
5893.48071 |
7253.49232 |
| 9.00E-05 |
6437.63317 |
6342.79899 |
7217.54774 |
7084.65244 |
5793.87395 |
7358.21367 |
| 8.00E-05 |
6564.35678 |
6398.79899 |
6881.9397 |
6691.87791 |
6141.13557 |
7089.1737 |
| 7.00E-05 |
6779.57789 |
6637.88442 |
7336.63317 |
7158.01459 |
6216.81751 |
7529.32731 |
| 6.00E-05 |
6887.77387 |
6804.88945 |
7977.9598 |
7849.94666 |
6090.04788 |
8112.44712 |
| 5.00E-05 |
7299.52764 |
7217 |
8077.43719 |
7966.03531 |
6645.9956 |
8193.64744 |
| 4.00E-05 |
7553.47739 |
7507.39196 |
8109.47739 |
8052.52702 |
7059.82469 |
8167.65342 |
| 3.00E-05 |
8293.95477 |
7946.28643 |
8675.92965 |
8280.28986 |
7649.69263 |
9134.30275 |
| 2.00E-05 |
8723.64322 |
8857.38191 |
9888.94472 |
10085.0484 |
7990.83769 |
9703.85317 |
| 1.00E-05 |
10555.4372 |
10095.7136 |
11940.7337 |
11286.9641 |
9216.29401 |
12723.0836 |
| 9.00E-06 |
10476.2714 |
10820.3769 |
12015.3266 |
12542.7599 |
9655.72268 |
11549.284 |
| 8.00E-06 |
10925.4673 |
10830.608 |
12834.4322 |
12681.4104 |
9608.37164 |
12993.1304 |
| 7.00E-06 |
11219.5678 |
11451.1809 |
12567.8191 |
12895.9758 |
10403.6433 |
12263.5028 |
| 6.00E-06 |
11748.3467 |
11989.7337 |
13172.5628 |
13515.5492 |
10886.0834 |
12854.4296 |
| 5.00E-06 |
12474.7487 |
12050.6683 |
13373.0251 |
12854.476 |
11380.9571 |
13959.8582 |
| 4.00E-06 |
13049.005 |
13025.0905 |
14689.4874 |
14655.3971 |
11840.4505 |
14723.8168 |
| 3.00E-06 |
14324.4322 |
14325.3719 |
16942.3618 |
16943.9167 |
12636.3151 |
16940.8074 |
| 2.00E-06 |
16918.7839 |
15382.9698 |
19277.3869 |
17091.3103 |
14102.0387 |
22596.1054 |
| 1.00E-06 |
21313.809 |
19339.2412 |
23688.0402 |
21060.3396 |
17981.1174 |
27632.3171 |
| 9.00E-07 |
21287.4221 |
20197.5528 |
26216.9045 |
24257.1736 |
17668.9085 |
28744.0223 |
| 8.00E-07 |
24145.1206 |
19328.6583 |
25945.9899 |
20216.1285 |
18548.6613 |
43681.9188 |
| 7.00E-07 |
27625.4573 |
21669.5729 |
27129.8593 |
21427.8879 |
21919.6246 |
43058.4107 |
| 6.00E-07 |
29357.4774 |
23628.8191 |
29468.6633 |
23686.6754 |
23571.3847 |
43821.9216 |
| 5.00E-07 |
40684.0603 |
24159.4422 |
28940.7337 |
20837.639 |
29834.201 |
108578.084 |
| 4.00E-07 |
40085.2111 |
24202.1357 |
30443.6281 |
21497.418 |
28277.3344 |
#NUM! |
| 3.00E-07 |
62320.8543 |
30488.2161 |
37624.8543 |
25609.5884 |
39939.8023 |
#NUM! |
| 2.00E-07 |
74617.9347 |
35339.0101 |
47175.5879 |
30564.231 |
43395.7919 |
#NUM! |
| 1.00E-07 |
133071.704 |
41935.7035 |
59593.6281 |
35494.4672 |
53953.6146 |
#NUM! |
将计算到的ω0和ω7画成曲线
所以这个网络d2（minst0,7）81-con（3*3）49-30-2-（2*k） ,k∈(0,1)的迭代次数n是由参与分类的对象的频率决定的，n的精确的表达式为
因为ω0和ω7是彼此区分的所以可以被分类。
再由质量可以得到方程组
所以如果假设mx=1则m0，m7，mx0，mx7，m07都可以解出来得到的数据是
| δ |
mx |
m0 |
m7 |
mxo |
mx7 |
m07 |
| 0.1 |
1 |
2.128664 |
1.709705 |
3.128664 |
2.709705 |
3.838368 |
| 0.01 |
1 |
1.58577 |
1.106159 |
2.58577 |
2.106159 |
2.691929 |
| 0.001 |
1 |
1.418004 |
1.036555 |
2.418004 |
2.036555 |
2.454559 |
| 1.00E-04 |
1 |
1.207907 |
0.797413 |
2.207907 |
1.797413 |
2.00532 |
| 9.00E-05 |
1 |
1.495199 |
0.927027 |
2.495199 |
1.927027 |
2.422226 |
| 8.00E-05 |
1 |
1.187404 |
0.891056 |
2.187404 |
1.891056 |
2.07846 |
| 7.00E-05 |
1 |
1.325711 |
0.903801 |
2.325711 |
1.903801 |
2.229512 |
| 6.00E-05 |
1 |
1.661468 |
0.936332 |
2.661468 |
1.936332 |
2.5978 |
| 5.00E-05 |
1 |
1.436694 |
0.945213 |
2.436694 |
1.945213 |
2.381908 |
| 4.00E-05 |
1 |
1.300998 |
0.972008 |
2.300998 |
1.972008 |
2.273006 |
| 3.00E-05 |
1 |
1.171664 |
0.821751 |
2.171664 |
1.821751 |
1.993415 |
| 2.00E-05 |
1 |
1.592837 |
1.080109 |
2.592837 |
2.080109 |
2.672946 |
| 1.00E-05 |
1 |
1.499829 |
0.786991 |
2.499829 |
1.786991 |
2.286819 |
| 9.00E-06 |
1 |
1.687395 |
1.179441 |
2.687395 |
2.179441 |
2.866835 |
| 8.00E-06 |
1 |
1.741949 |
0.952593 |
2.741949 |
1.952593 |
2.694543 |
| 7.00E-06 |
1 |
1.536517 |
1.105807 |
2.536517 |
2.105807 |
2.642325 |
| 6.00E-06 |
1 |
1.541431 |
1.105508 |
2.541431 |
2.105508 |
2.646939 |
| 5.00E-06 |
1 |
1.275708 |
0.847904 |
2.275708 |
1.847904 |
2.123612 |
| 4.00E-06 |
1 |
1.532 |
0.990728 |
2.532 |
1.990728 |
2.522728 |
| 3.00E-06 |
1 |
1.797988 |
1.000367 |
2.797988 |
2.000367 |
2.798355 |
| 2.00E-06 |
1 |
1.468882 |
0.572115 |
2.468882 |
1.572115 |
2.040997 |
| 1.00E-06 |
1 |
1.371821 |
0.580893 |
2.371821 |
1.580893 |
1.952714 |
| 9.00E-07 |
1 |
1.884781 |
0.712173 |
2.884781 |
1.712173 |
2.596954 |
| 8.00E-07 |
1 |
1.187875 |
0.214187 |
2.187875 |
1.214187 |
1.402062 |
| 7.00E-07 |
1 |
0.955636 |
0.247653 |
1.955636 |
1.247653 |
1.203289 |
| 6.00E-07 |
1 |
1.009806 |
0.292163 |
2.009806 |
1.292163 |
1.301969 |
| 5.00E-07 |
1 |
0.48783 |
0.036831 |
1.48783 |
1.036831 |
0.524661 |
| 4.00E-07 |
1 |
0.577957 |
#NUM! |
1.577957 |
#NUM! |
#NUM! |
| 3.00E-07 |
1 |
0.411143 |
#NUM! |
1.411143 |
#NUM! |
#NUM! |
| 2.00E-07 |
1 |
0.496057 |
#NUM! |
1.496057 |
#NUM! |
#NUM! |
| 1.00E-07 |
1 |
0.432793 |
#NUM! |
1.432793 |
#NUM! |
#NUM! |
比较计算出来的m0和m7的曲线
这个结果表明被分类对象的质量也是特征分开的。
所以从数学上将这个系统理解成是并联的弹簧是连贯的，也就是理解成是玻色子系统是可能的，所以可以得出推论神经网络的收敛过程就是用玻色子模拟玻色爱因斯坦凝聚。
参考书籍
①狄拉克《量子力学原理》
| 实验数据 |
| 学习率 0.1 |
| 权重初始化方式 |
| Random rand1 =new Random(); |
| int ti1=rand1.nextInt(98)+1; |
| int xx=1; |
| if(ti1%2==0) |
| { xx=-1;} |
| tw[a][b]=xx*((double)ti1/x); |
| 第一层第二层和卷积核的权重的初始化的x分别为1000,1000,200 |
d2（minst0,7）81-con（3*3）49-30-2-（2*k） ,k∈(0,1)
的数据在《神经网络训练时间计算实例：二分类minst0，7》2019-1-31已经给出了
d2（minstx,0）81-con（3*3）49-30-2-（2*k） ,k∈(0,1)的数据已经在《神经网络与并联的弹簧》2019-2-2中给出了
d2（minstx,7）81-con（3*3）49-30-2-（2*k） ,k∈(0,1)的数据
| x7 |
||||||||
| f2[0] |
f2[1] |
迭代次数n |
平均准确率p-ave |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时 min/199 |
最大准确率p-max |
| 0.49945102 |
0.497890831 |
20.58291457 |
0.513935841 |
0.5 |
729.8090452 |
145263 |
2.42105 |
0.896969697 |
| 0.391794117 |
0.608252601 |
1919.98995 |
0.802362824 |
0.4 |
1415.572864 |
281699 |
4.694983333 |
0.925252525 |
| 0.28655352 |
0.713484916 |
2112.582915 |
0.794368306 |
0.3 |
1517.829146 |
302048 |
5.034133333 |
0.931313131 |
| 0.183983736 |
0.815747735 |
2478.301508 |
0.792442008 |
0.2 |
1591.592965 |
316743 |
5.27905 |
0.922727273 |
| 0.086211368 |
0.913708548 |
2656.653266 |
0.782531344 |
0.1 |
1633.045226 |
324992 |
5.416533333 |
0.932828283 |
| 0.007673164 |
0.992314593 |
3509.959799 |
0.730876605 |
0.01 |
1822.160804 |
362610 |
6.0435 |
0.909090909 |
| 7.58E-04 |
0.999242358 |
4794.753769 |
0.714852038 |
0.001 |
2111.547739 |
420198 |
7.0033 |
0.922222222 |
| 6.88E-05 |
0.999931165 |
6832.502513 |
0.693106949 |
1.00E-04 |
2559.703518 |
509381 |
8.489683333 |
0.929292929 |
| 6.35E-05 |
0.999936459 |
7217.547739 |
0.69033044 |
9.00E-05 |
2646.819095 |
526732 |
8.778866667 |
0.931818182 |
| 5.41E-05 |
0.99994582 |
6881.939698 |
0.709687326 |
8.00E-05 |
2572.286432 |
511933 |
8.532216667 |
0.922222222 |
| 4.97E-05 |
0.999950366 |
7336.633166 |
0.703512512 |
7.00E-05 |
2671.432161 |
531615 |
8.86025 |
0.915151515 |
| 4.35E-05 |
0.999956501 |
7977.959799 |
0.706352469 |
6.00E-05 |
2819.527638 |
561102 |
9.3517 |
0.91969697 |
| 3.62E-05 |
0.999963829 |
8077.437186 |
0.691467438 |
5.00E-05 |
2814.170854 |
560020 |
9.333666667 |
0.914646465 |
| 2.98E-05 |
0.999970187 |
8109.477387 |
0.697456982 |
4.00E-05 |
2824.904523 |
562156 |
9.369266667 |
0.928787879 |
| 2.19E-05 |
0.99997805 |
8675.929648 |
0.699852799 |
3.00E-05 |
2971.78392 |
591400 |
9.856666667 |
0.901515152 |
| 1.41E-05 |
0.999985868 |
9888.944724 |
0.663395259 |
2.00E-05 |
3252.477387 |
647259 |
10.78765 |
0.9 |
| 7.35E-06 |
0.999992655 |
11940.73367 |
0.673369372 |
1.00E-05 |
3199.025126 |
636609 |
10.61015 |
0.90959596 |
| 6.16E-06 |
0.999993854 |
12015.32663 |
0.683691183 |
9.00E-06 |
3727.472362 |
741787 |
12.36311667 |
0.913636364 |
| 5.46E-06 |
0.999994525 |
12834.43216 |
0.678115324 |
8.00E-06 |
3948.281407 |
785708 |
13.09513333 |
0.91969697 |
| 5.01E-06 |
0.99999499 |
12567.8191 |
0.680447693 |
7.00E-06 |
3874.572864 |
771040 |
12.85066667 |
0.934343434 |
| 4.20E-06 |
0.9999958 |
13172.56281 |
0.679409675 |
6.00E-06 |
3711.718593 |
738648 |
12.3108 |
0.895959596 |
| 3.42E-06 |
0.999996586 |
13373.02513 |
0.673899802 |
5.00E-06 |
4057.492462 |
807472 |
13.45786667 |
0.918181818 |
| 2.73E-06 |
0.999997272 |
14689.48744 |
0.667922948 |
4.00E-06 |
4367.180905 |
869069 |
14.48448333 |
0.905050505 |
| 2.10E-06 |
0.999997896 |
16942.36181 |
0.664433277 |
3.00E-06 |
4823.658291 |
959923 |
15.99871667 |
0.901010101 |
| 1.42E-06 |
0.999998583 |
19277.38693 |
0.662593269 |
2.00E-06 |
4887.226131 |
972558 |
16.2093 |
0.927272727 |
| 7.03E-07 |
0.999999297 |
23688.0402 |
0.658928481 |
1.00E-06 |
6294.738693 |
1252669 |
20.87781667 |
0.927777778 |
| 6.57E-07 |
0.999999343 |
26216.90452 |
0.649279224 |
9.00E-07 |
6901.095477 |
1373325 |
22.88875 |
0.908585859 |
| 5.74E-07 |
0.999999426 |
25945.98995 |
0.651294351 |
8.00E-07 |
6644.100503 |
1322186 |
22.03643333 |
0.925757576 |
| 5.03E-07 |
0.999999497 |
27129.8593 |
0.662623725 |
7.00E-07 |
7165.663317 |
1425970 |
23.76616667 |
0.897474747 |
| 4.38E-07 |
0.999999562 |
29468.66332 |
0.643335364 |
6.00E-07 |
7618.79397 |
1516145 |
25.26908333 |
0.892929293 |
| 3.52E-07 |
0.999999647 |
28940.73367 |
0.660628902 |
5.00E-07 |
7391.874372 |
1470988 |
24.51646667 |
0.895959596 |
| 2.89E-07 |
0.99999971 |
30443.62814 |
0.649048272 |
4.00E-07 |
7780.070352 |
1548235 |
25.80391667 |
0.886868687 |
| 2.22E-07 |
0.999999778 |
37624.85427 |
0.633919598 |
3.00E-07 |
9396.115578 |
1869827 |
31.16378333 |
0.904040404 |
| 1.45E-07 |
0.999999855 |
47175.58794 |
0.623318613 |
2.00E-07 |
9096.78392 |
1810266 |
30.1711 |
0.882323232 |
| 7.85E-08 |
0.999999921 |
59593.62814 |
0.62012842 |
1.00E-07 |
11550.9799 |
2298649 |
38.31081667 |
0.892929293 |
f2[0] f2[1] 迭代次数n 平均准确率p-ave 耗时ms/次 耗时ms/199次
0.535506178 0.477415809 1 0.494949495 0.5 1757
0.498734759 0.500109746 44 0.541919192 0.5 893
0.49989035 0.501558908 32 0.307070707 0.5 812
0.509577737 0.446240384 1 0.494949495 0.5 782
0.556591663 0.497686068 1 0.494949495 0.5 719
0.498422419 0.500381795 42 0.552525253 0.5 751
0.500087223 0.49999686 41 0.494949495 0.5 719
0.593229589 0.481902743 1 0.494949495 0.5 704
0.509049061 0.485791147 1 0.494949495 0.5 719
0.456872652 0.500139394 6 0.505050505 0.5 745
0.490827814 0.522774942 2 0.505050505 0.5 703
0.462419834 0.505537872 2 0.505050505 0.5 720
0.52303093 0.445454925 1 0.494949495 0.5 718
0.502198181 0.430423144 1 0.494949495 0.5 720
0.499124673 0.50000661 42 0.339393939 0.5 719
0.498020949 0.500607992 36 0.505050505 0.5 721
0.522872469 0.432507816 1 0.494949495 0.5 703
0.492560435 0.508844972 2 0.505050505 0.5 751
0.499813291 0.500297288 66 0.435353535 0.5 734
0.503152678 0.467335685 1 0.494949495 0.5 720
0.500001331 0.499044444 43 0.494949495 0.5 734
0.499650872 0.500101685 46 0.656565657 0.5 720
0.500140056 0.499465738 51 0.494949495 0.5 703
0.569016156 0.461810518 1 0.494949495 0.5 704
0.50003143 0.499098078 49 0.494949495 0.5 750
0.498985855 0.500075046 56 0.661111111 0.5 720
0.499101072 0.538674492 2 0.505050505 0.5 703
0.438803194 0.503799219 2 0.505050505 0.5 736
0.499417364 0.500721403 42 0.516161616 0.5 703
0.463034214 0.509120555 2 0.505050505 0.5 721
0.500135943 0.49863341 45 0.494949495 0.5 703
0.499868557 0.500017074 48 0.658585859 0.5 720
0.499990806 0.504961939 20 0.505050505 0.5 719
0.434175089 0.522255001 2 0.505050505 0.5 721
0.524797329 0.499924623 13 0.494949495 0.5 703
0.497747282 0.500747942 32 0.460606061 0.5 768
0.499595538 0.500036324 36 0.784343434 0.5 703
0.503378973 0.495673847 1 0.494949495 0.5 721
0.500233558 0.499731431 63 0.494949495 0.5 719
0.49886237 0.500618935 38 0.395454545 0.5 743
0.490498597 0.500358006 16 0.505050505 0.5 719
0.464040701 0.523783111 2 0.505050505 0.5 719
0.50019518 0.497779034 25 0.494949495 0.5 719
0.484135475 0.527386321 2 0.505050505 0.5 720
0.500043396 0.498438674 33 0.494949495 0.5 703
0.499749981 0.500549562 40 0.525757576 0.5 720
0.500001797 0.4996074 51 0.494949495 0.5 718
0.551785637 0.438734332 1 0.494949495 0.5 720
0.450969703 0.539134391 2 0.505050505 0.5 719
0.499727246 0.505211232 18 0.505050505 0.5 720
0.481886161 0.538760258 2 0.505050505 0.5 718
0.489429267 0.501646453 2 0.505050505 0.5 704
0.499130302 0.500011786 42 0.532323232 0.5 719
0.525685295 0.473377061 1 0.494949495 0.5 767
0.458249482 0.50371122 2 0.505050505 0.5 703
0.499746447 0.500076075 62 0.571212121 0.5 751
0.47638199 0.51302067 2 0.505050505 0.5 703
0.516151947 0.480953169 1 0.494949495 0.5 704
0.454599815 0.531711844 2 0.505050505 0.5 719
0.499702923 0.502297662 38 0.533838384 0.5 720
0.498730996 0.500239576 40 0.58030303 0.5 703
0.476661413 0.516397911 2 0.505050505 0.5 752
0.579647249 0.447304869 1 0.494949495 0.5 718
0.500259217 0.488303849 1 0.494949495 0.5 720
0.499347222 0.500116025 38 0.475757576 0.5 719
0.464437276 0.575136261 2 0.505050505 0.5 720
0.502829956 0.499970117 21 0.494949495 0.5 734
0.500711774 0.49984408 49 0.494949495 0.5 720
0.49874555 0.500517772 54 0.610606061 0.5 718
0.499650688 0.50014906 34 0.405555556 0.5 751
0.481204814 0.504976625 2 0.505050505 0.5 704
0.4452609 0.542066486 2 0.505050505 0.5 741
0.457169326 0.519622627 2 0.505050505 0.5 718
0.523183008 0.445878779 1 0.494949495 0.5 705
0.49906548 0.500062982 54 0.502020202 0.5 718
0.498466319 0.500033839 38 0.469191919 0.5 736
0.530154336 0.457131437 1 0.494949495 0.5 703
0.498285725 0.500461218 30 0.546969697 0.5 721
0.499629429 0.500567995 38 0.642424242 0.5 719
0.432515563 0.550210126 2 0.505050505 0.5 720
0.498707902 0.500002807 46 0.519191919 0.5 735
0.499394516 0.510825546 20 0.505050505 0.5 720
0.519218101 0.480852944 1 0.494949495 0.5 719
0.461934888 0.591493476 2 0.505050505 0.5 736
0.488446443 0.535297864 2 0.505050505 0.5 734
0.500223234 0.496068097 25 0.494949495 0.5 721
0.504425756 0.449816473 1 0.494949495 0.5 719
0.49825094 0.500248851 38 0.685858586 0.5 705
0.496352049 0.50006183 24 0.505050505 0.5 703
0.488459527 0.52644255 2 0.505050505 0.5 720
0.488450473 0.571916385 2 0.505050505 0.5 704
0.53401549 0.429994187 1 0.494949495 0.5 736
0.500085298 0.498579315 27 0.494949495 0.5 703
0.498732461 0.500097274 46 0.643939394 0.5 752
0.501089096 0.499843128 33 0.494949495 0.5 720
0.501410728 0.499937401 35 0.494949495 0.5 704
0.499452424 0.500889574 36 0.651010101 0.5 719
0.497230486 0.554724506 2 0.505050505 0.5 721
0.500182205 0.497571394 35 0.494949495 0.5 750
0.521471817 0.415999231 1 0.494949495 0.5 721
0.560239137 0.491344678 1 0.494949495 0.5 703
0.501516874 0.499855508 19 0.494949495 0.5 756
0.499250686 0.500691885 60 0.530808081 0.5 718
0.499745606 0.504734456 24 0.505050505 0.5 720
0.505590188 0.499646398 1 0.494949495 0.5 720
0.500278801 0.498574079 39 0.494949495 0.5 720
0.50023741 0.498235478 39 0.494949495 0.5 724
0.445853433 0.52214988 2 0.505050505 0.5 721
0.466285392 0.548069783 2 0.505050505 0.5 720
0.500030033 0.499291259 39 0.494949495 0.5 704
0.542006575 0.45557502 1 0.494949495 0.5 719
0.5136502 0.471902667 1 0.494949495 0.5 721
0.499584152 0.500023935 42 0.699494949 0.5 703
0.501662773 0.499790216 29 0.494949495 0.5 752
0.50073642 0.499946138 41 0.494949495 0.5 720
0.499794616 0.502396221 38 0.523737374 0.5 720
0.500050236 0.498288039 37 0.494949495 0.5 735
0.476311728 0.541266124 2 0.505050505 0.5 712
0.499908079 0.500700426 38 0.520707071 0.5 719
0.498986338 0.500201129 42 0.634848485 0.5 753
0.509283473 0.447960115 1 0.494949495 0.5 703
0.485908449 0.515497279 2 0.505050505 0.5 742
0.504992417 0.499787179 23 0.494949495 0.5 734
0.455974243 0.50457007 2 0.505050505 0.5 737
0.500006558 0.493951341 21 0.494949495 0.5 721
0.545066758 0.45933187 1 0.494949495 0.5 727
0.500001447 0.481564804 5 0.494949495 0.5 720
0.500027896 0.498634274 37 0.494949495 0.5 735
0.500354733 0.499877753 43 0.494949495 0.5 735
0.561463106 0.465495159 1 0.494949495 0.5 720
0.533930542 0.424343653 1 0.494949495 0.5 735
0.454654564 0.506254289 2 0.505050505 0.5 704
0.526315472 0.491473103 1 0.494949495 0.5 704
0.500163928 0.498857454 39 0.494949495 0.5 735
0.515509328 0.47837846 1 0.494949495 0.5 735
0.499896229 0.500012363 46 0.562626263 0.5 752
0.405036332 0.546124012 2 0.505050505 0.5 703
0.47663079 0.511538711 2 0.505050505 0.5 705
0.520179404 0.485374359 1 0.494949495 0.5 750
0.499736072 0.501455979 44 0.896969697 0.5 721
0.500124152 0.498944428 43 0.494949495 0.5 719
0.499837183 0.506155736 4 0.505050505 0.5 720
0.50058616 0.499938403 47 0.494949495 0.5 725
0.499764231 0.500240846 54 0.534848485 0.5 737
0.499905666 0.500189998 62 0.45 0.5 703
0.453627351 0.528455284 2 0.505050505 0.5 738
0.500083272 0.499177221 39 0.494949495 0.5 719
0.500292849 0.497579974 35 0.494949495 0.5 725
0.50197709 0.49993343 37 0.494949495 0.5 719
0.459469932 0.507183821 2 0.505050505 0.5 736
0.500138797 0.499096347 41 0.494949495 0.5 703
0.490167365 0.51851233 2 0.505050505 0.5 736
0.499939967 0.501613351 40 0.516161616 0.5 720
0.499790399 0.520316035 10 0.505050505 0.5 719
0.501805345 0.499997428 43 0.494949495 0.5 720
0.500199756 0.497968714 35 0.494949495 0.5 704
0.500065457 0.498530878 37 0.494949495 0.5 720
0.499889131 0.500929076 54 0.666161616 0.5 751
0.501449104 0.499805894 49 0.494949495 0.5 734
0.500912712 0.499901503 35 0.494949495 0.5 783
0.495649513 0.500007163 36 0.505050505 0.5 719
0.499664655 0.502797007 26 0.505050505 0.5 705
0.500024978 0.498240212 29 0.494949495 0.5 719
0.491662732 0.523589748 2 0.505050505 0.5 736
0.524666351 0.481909348 1 0.494949495 0.5 703
0.557444008 0.478675815 1 0.494949495 0.5 736
0.499566786 0.500059462 46 0.371212121 0.5 720
0.498855275 0.500669114 44 0.694444444 0.5 737
0.500002174 0.499124028 35 0.494949495 0.5 735
0.500019011 0.497490997 23 0.494949495 0.5 736
0.499991191 0.500322785 36 0.824747475 0.5 718
0.530682392 0.493003717 1 0.494949495 0.5 711
0.539989082 0.491026718 1 0.494949495 0.5 750
0.51510055 0.469156659 1 0.494949495 0.5 706
0.452475094 0.534134576 2 0.505050505 0.5 750
0.497396178 0.500505167 28 0.512121212 0.5 745
0.55741135 0.435041979 1 0.494949495 0.5 703
0.49933209 0.500003536 44 0.796464646 0.5 720
0.462711531 0.510627091 2 0.505050505 0.5 704
0.41416002 0.520429066 2 0.505050505 0.5 706
0.524758857 0.46658042 1 0.494949495 0.5 751
0.571975284 0.492254306 1 0.494949495 0.5 720
0.498956201 0.50486305 20 0.505050505 0.5 706
0.501926682 0.499913072 37 0.494949495 0.5 721
0.51358791 0.454721927 1 0.494949495 0.5 719
0.500022192 0.497428897 27 0.494949495 0.5 737
0.505140584 0.487804643 1 0.494949495 0.5 719
0.498527792 0.500338414 38 0.509090909 0.5 706
0.45672738 0.501536455 2 0.505050505 0.5 718
0.473410351 0.508716941 2 0.505050505 0.5 721
0.47171278 0.530806896 2 0.505050505 0.5 703
0.506584244 0.463423227 1 0.494949495 0.5 751
0.53192625 0.46380149 1 0.494949495 0.5 720
0.499958379 0.500762812 48 0.500505051 0.5 720
0.501214883 0.49994378 31 0.494949495 0.5 718
0.525139288 0.451708042 1 0.494949495 0.5 737
0.565977535 0.447614918 1 0.494949495 0.5 719
0.489832594 0.500375935 24 0.505050505 0.5 767
0.49514113 0.527501145 2 0.505050505 0.5 720
145263
0.383946803 0.612219855 1410 0.737373737 0.4 1221
0.381075919 0.620537429 1132 0.73989899 0.4 907
0.395249641 0.608552415 1068 0.76969697 0.4 908
0.398646977 0.600070894 1784 0.901515152 0.4 1080
0.389284927 0.605527675 2188 0.844444444 0.4 1157
0.390068549 0.611183266 1262 0.655050505 0.4 945
0.391188888 0.608924726 1602 0.914141414 0.4 1017
0.391059005 0.61174537 3062 0.802020202 0.4 1377
0.395427467 0.604652182 1834 0.86969697 0.4 1032
0.394934233 0.606283923 2724 0.804040404 0.4 1221
0.389817089 0.612431526 1354 0.807575758 0.4 940
0.393849535 0.604880391 1960 0.828787879 0.4 1081
0.39251188 0.608934267 1172 0.828787879 0.4 923
0.391892649 0.607563797 1562 0.730808081 0.4 1001
0.399910117 0.600412785 2522 0.868686869 0.4 1173
0.399105034 0.601823675 998 0.852525253 0.4 908
0.388110919 0.608751647 3312 0.771212121 0.4 1377
0.39316362 0.609100863 2022 0.818181818 0.4 1095
0.386898572 0.616240467 1428 0.755050505 0.4 955
0.394834873 0.606002328 1628 0.755555556 0.4 1033
0.396589808 0.600768812 1700 0.754040404 0.4 1049
0.372921434 0.627645711 2480 0.751515152 0.4 1174
0.380465404 0.615779289 834 0.633333333 0.4 893
0.392580333 0.603193531 1972 0.860606061 0.4 1096
0.388300878 0.603703923 2108 0.798484848 0.4 1116
0.390397819 0.615868977 1484 0.881313131 0.4 1001
0.39480479 0.604708398 1384 0.855050505 0.4 986
0.38319624 0.612998962 2886 0.8 0.4 1251
0.389889516 0.60877416 6968 0.788888889 0.4 2755
0.398936651 0.601475748 2534 0.875252525 0.4 1377
0.390559598 0.600914665 1380 0.776262626 0.4 1392
0.398257336 0.603820554 2022 0.91969697 0.4 1502
0.386079071 0.608663573 2232 0.840909091 0.4 1550
0.391839026 0.609126499 1556 0.840909091 0.4 1393
0.3829847 0.61024402 868 0.807575758 0.4 1219
0.388181281 0.606640786 2188 0.818181818 0.4 1518
0.397569538 0.601716677 1806 0.850505051 0.4 1472
0.390205509 0.605528252 2586 0.861111111 0.4 1626
0.394381296 0.600427514 2480 0.696969697 0.4 1595
0.385157834 0.617630109 1926 0.891919192 0.4 1471
0.393176065 0.605880346 1330 0.715151515 0.4 1350
0.393637501 0.612192552 2586 0.843939394 0.4 1641
0.39914686 0.603200649 2232 0.911616162 0.4 1539
0.385916599 0.612161702 3116 0.854545455 0.4 1758
0.392683423 0.600351948 1806 0.788383838 0.4 1439
0.397302537 0.60543262 1428 0.607575758 0.4 1377
0.397837714 0.600688894 1834 0.912121212 0.4 1439
0.395906561 0.604739707 1972 0.882323232 0.4 1502
0.392220699 0.604627852 1042 0.851010101 0.4 1299
0.389742905 0.608717903 2818 0.853030303 0.4 1658
0.396692616 0.603374806 2020 0.848989899 0.4 1526
0.386869956 0.616740199 2184 0.886868687 0.4 1533
0.391580958 0.609768935 2184 0.734848485 0.4 1518
0.389455756 0.61146794 1926 0.822222222 0.4 1473
0.391639156 0.606751616 1520 0.734343434 0.4 1360
0.396964818 0.600496588 2146 0.756565657 0.4 1533
0.388948477 0.611039825 940 0.671212121 0.4 1252
0.393789033 0.605499234 2688 0.862121212 0.4 1691
0.3960071 0.605766946 1262 0.689393939 0.4 1314
0.397492625 0.603491413 2322 0.832828283 0.4 1548
0.398770643 0.602880521 2610 0.720707071 0.4 1643
0.38445557 0.618984549 1806 0.821212121 0.4 1440
0.397941205 0.604111594 1784 0.621212121 0.4 1456
0.389001004 0.608821339 2528 0.766666667 0.4 1580
0.395577098 0.604011619 740 0.785858586 0.4 1221
0.381609716 0.611793961 1384 0.903535354 0.4 1313
0.395185539 0.607815542 2350 0.85959596 0.4 1596
0.394533216 0.610158553 1926 0.881818182 0.4 1518
0.398040224 0.605899263 1628 0.765151515 0.4 1392
0.370130277 0.623021886 1064 0.852020202 0.4 1252
0.375308164 0.623170225 1920 0.837878788 0.4 1455
0.399877904 0.600461588 2188 0.871717172 0.4 1534
0.379954188 0.613623582 1048 0.787878788 0.4 1251
0.39658125 0.603569815 2108 0.810606061 0.4 1534
0.398003132 0.60177794 972 0.682828283 0.4 1267
0.393895521 0.606737997 4028 0.822222222 0.4 1940
0.389062384 0.607925584 1960 0.888383838 0.4 1470
0.387912079 0.607691253 3116 0.741919192 0.4 1759
0.396694902 0.608949453 1934 0.917171717 0.4 1503
0.393936214 0.606142412 1182 0.645959596 0.4 1298
0.397536553 0.601873737 1410 0.884848485 0.4 1377
0.393640981 0.610141417 2598 0.877272727 0.4 1614
0.399185178 0.600028616 1562 0.876262626 0.4 1392
0.391164982 0.605209522 1932 0.62020202 0.4 1476
0.397667211 0.609004943 740 0.785353535 0.4 1221
0.399115436 0.601012966 1920 0.865656566 0.4 1486
0.398011773 0.600430907 2188 0.78030303 0.4 1518
0.390322303 0.614817571 1700 0.906060606 0.4 1408
0.393135301 0.612726772 2136 0.691919192 0.4 1501
0.388786943 0.608379342 1384 0.67020202 0.4 1315
0.393216114 0.602990409 1700 0.911616162 0.4 1440
0.377315522 0.617782772 2184 0.78989899 0.4 1517
0.386970734 0.616038375 1628 0.875757576 0.4 1409
0.38790452 0.611628798 1448 0.704040404 0.4 1392
0.390054847 0.608545891 1700 0.798989899 0.4 1440
0.388553539 0.611009433 1688 0.845454545 0.4 1424
0.379275316 0.618721752 2184 0.873737374 0.4 1517
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302048
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0.091325441 0.909811192 1384 0.568181818 0.1 1377
0.094580922 0.904734749 2960 0.643434343 0.1 1683
0.061478818 0.940892215 1428 0.567171717 0.1 1379
0.089578262 0.910506182 4384 0.841919192 0.1 2017
0.07983639 0.92039248 2846 0.815151515 0.1 1691
0.094489875 0.905394103 1724 0.730808081 0.1 1408
0.098510566 0.90228373 2232 0.76969697 0.1 1550
0.066603601 0.932141268 3412 0.753030303 0.1 1798
0.067300057 0.931253846 2044 0.716161616 0.1 1520
0.079303782 0.920884342 2480 0.775757576 0.1 1580
0.098129899 0.903438973 3480 0.911616162 0.1 1815
0.096254973 0.907143707 2396 0.852020202 0.1 1596
0.095584406 0.90443865 3858 0.890909091 0.1 1909
0.061384478 0.935548914 3820 0.845959596 0.1 1895
0.083868163 0.917846669 2748 0.819191919 0.1 1666
0.092049673 0.90697387 2008 0.521717172 0.1 1486
0.098562581 0.904020742 2978 0.790909091 0.1 1692
0.075174733 0.924296184 2396 0.908080808 0.1 1583
0.08548533 0.915051648 2232 0.784343434 0.1 1517
0.099814985 0.901613053 2968 0.848484848 0.1 1690
0.097425079 0.901543239 4192 0.873232323 0.1 1971
0.086037406 0.916044901 3788 0.905050505 0.1 1848
0.076427142 0.921987472 2610 0.932828283 0.1 1596
0.087464769 0.914521395 2998 0.869191919 0.1 1698
0.086708448 0.913105871 3288 0.787373737 0.1 1753
0.076927671 0.920123515 2480 0.883838384 0.1 1550
0.097238725 0.900653084 1556 0.647979798 0.1 1392
0.078830193 0.920395934 3254 0.751515152 0.1 1756
0.082005625 0.918192923 2748 0.694949495 0.1 1658
0.095765229 0.906051803 2136 0.632828283 0.1 1519
0.07932091 0.920581359 4522 0.870707071 0.1 2051
0.078754949 0.919432885 3288 0.806565657 0.1 1751
0.095548656 0.907282209 2044 0.744444444 0.1 1489
0.097808133 0.902821153 3010 0.863636364 0.1 1676
0.094125114 0.906684851 3288 0.863131313 0.1 1767
0.087691335 0.911198181 2022 0.802020202 0.1 1502
0.051971393 0.946072599 2480 0.866666667 0.1 1603
0.087869006 0.910548451 2818 0.854040404 0.1 1658
0.094438947 0.902068052 3788 0.818686869 0.1 1863
0.099180282 0.903524801 2184 0.723737374 0.1 1534
0.096631523 0.900975026 3546 0.878282828 0.1 1816
0.07014777 0.930611577 4246 0.883333333 0.1 2004
0.085059395 0.914153821 1932 0.884848485 0.1 1487
0.091733722 0.908218593 2136 0.684848485 0.1 1502
0.09347628 0.907327287 3006 0.782323232 0.1 1736
0.094909914 0.902255233 2480 0.721717172 0.1 1581
0.093069655 0.905674674 2798 0.916666667 0.1 1659
0.062843179 0.934721249 2798 0.87979798 0.1 1691
0.085370013 0.914303082 1932 0.802525253 0.1 1503
0.094569857 0.904060524 2418 0.748484848 0.1 1599
0.080944723 0.916325963 3006 0.878282828 0.1 1692
0.081081122 0.922414316 2586 0.828282828 0.1 1599
0.081094854 0.917076646 6242 0.814646465 0.1 2427
0.061627136 0.937323728 3380 0.828282828 0.1 1769
0.072709098 0.925322548 5162 0.838383838 0.1 2177
0.084630035 0.914143121 2184 0.776262626 0.1 1566
0.09703276 0.906779338 3412 0.897474747 0.1 1817
0.077828641 0.920064693 2216 0.803535354 0.1 1519
0.084184938 0.913468184 2188 0.904545455 0.1 1517
0.079652093 0.919367245 2846 0.799494949 0.1 1674
0.06951731 0.933422983 3526 0.922727273 0.1 1862
0.085636258 0.914267543 4564 0.757070707 0.1 2027
0.077794379 0.917732673 3288 0.908585859 0.1 1798
0.096299684 0.903498261 3124 0.867171717 0.1 1724
0.080720372 0.92029774 2480 0.791414141 0.1 1628
0.06280035 0.935870072 2044 0.847979798 0.1 1486
0.081605466 0.917677535 2184 0.768686869 0.1 1518
0.099106232 0.900118026 1498 0.698989899 0.1 1378
0.095791237 0.906391229 1516 0.598484848 0.1 1392
0.096414657 0.905033771 2748 0.828787879 0.1 1646
0.093780021 0.90542147 2818 0.878787879 0.1 1678
0.095079256 0.90561862 2008 0.691414141 0.1 1456
0.094657825 0.904424977 2232 0.783838384 0.1 1549
0.096936355 0.905482643 2586 0.817676768 0.1 1612
0.08915 0.910325255 2008 0.643434343 0.1 1500
0.098094549 0.904136998 1466 0.597979798 0.1 1361
0.089307822 0.909583836 2474 0.782828283 0.1 1599
0.084791099 0.916418114 2408 0.873737374 0.1 1595
0.091197673 0.907193558 2408 0.790909091 0.1 1582
0.096962915 0.90260252 2418 0.768181818 0.1 1611
0.087260621 0.912119372 3288 0.756060606 0.1 1800
0.085596324 0.912567789 2610 0.887878788 0.1 1643
0.048793975 0.951233523 2044 0.852020202 0.1 1487
0.097959029 0.900549057 2748 0.843434343 0.1 1659
0.095876393 0.910004702 1516 0.67979798 0.1 1392
0.062871511 0.936337271 2480 0.652525253 0.1 1628
324992
0.009910132 0.990210901 4384 0.863636364 0.01 2018
0.009409887 0.990410635 3006 0.815656566 0.01 1706
0.005001478 0.995255494 3380 0.75 0.01 1785
0.006946057 0.993220799 2818 0.710606061 0.01 1643
0.007163151 0.992652378 9296 0.820707071 0.01 3255
0.009899173 0.990088626 3154 0.717676768 0.01 1722
0.007393768 0.992691961 5348 0.885353535 0.01 2222
0.008353939 0.991810081 3880 0.673737374 0.01 1924
0.007982056 0.992042477 2610 0.514646465 0.01 1612
0.009131578 0.990829904 2798 0.769191919 0.01 1628
0.009013762 0.991340258 2798 0.858585859 0.01 1674
0.008359333 0.991407585 2610 0.603535354 0.01 1595
0.009508717 0.990424389 3986 0.818181818 0.01 1929
0.006518962 0.993293986 3412 0.894444444 0.01 1768
0.008660798 0.991323113 5394 0.847979798 0.01 2269
0.006731539 0.99328939 2610 0.655555556 0.01 1596
0.008531697 0.99112145 3054 0.539393939 0.01 1722
0.007719048 0.992249173 3006 0.695959596 0.01 1674
0.007371805 0.992398385 2610 0.696464646 0.01 1612
0.003848357 0.99628282 3986 0.593939394 0.01 1892
0.008376227 0.991705151 2146 0.616161616 0.01 1503
0.00669217 0.992912477 2798 0.860606061 0.01 1628
0.006468285 0.99368896 3920 0.736868687 0.01 1924
0.007559548 0.992369573 3110 0.651515152 0.01 1737
0.009845315 0.990125779 3204 0.593434343 0.01 1753
0.006691477 0.993557956 3380 0.732828283 0.01 1799
0.007598028 0.992147029 4602 0.869191919 0.01 2055
0.006120647 0.993940171 2610 0.580808081 0.01 1612
0.009757462 0.990428738 3006 0.618181818 0.01 1690
0.009849779 0.990383799 2748 0.686868687 0.01 1658
0.007757041 0.99258694 3412 0.783333333 0.01 1802
0.009469743 0.990188904 2044 0.781313131 0.01 1501
0.009998977 0.990188722 3412 0.846969697 0.01 1785
0.009645039 0.990582228 3380 0.875757576 0.01 1814
0.007836408 0.992355352 3980 0.843434343 0.01 1909
0.00828749 0.991729849 2208 0.551515152 0.01 1520
0.007191522 0.992697607 2960 0.746464646 0.01 1676
0.004799019 0.995207996 3412 0.811616162 0.01 1784
0.00404793 0.996126589 6076 0.804545455 0.01 2382
0.00966969 0.990305401 2342 0.567171717 0.01 1564
0.00505098 0.994954073 3006 0.697474747 0.01 1753
0.006183249 0.993870347 2798 0.767171717 0.01 1675
0.008652343 0.991505226 4028 0.869191919 0.01 1893
0.00952714 0.990220721 5572 0.843434343 0.01 2263
0.008677847 0.991106811 2208 0.843434343 0.01 1532
0.008664457 0.991446041 5394 0.863636364 0.01 2272
0.009154421 0.990733467 3006 0.629292929 0.01 1691
0.006315322 0.993524601 2610 0.555555556 0.01 1596
0.005229031 0.994560151 3902 0.845959596 0.01 1909
0.00915819 0.990697292 2480 0.646969697 0.01 1564
0.009794204 0.990179851 2044 0.542929293 0.01 1489
0.006471695 0.993425301 3006 0.507575758 0.01 1705
0.009630345 0.99057906 4248 0.707070707 0.01 1972
0.004244501 0.995943299 3380 0.621212121 0.01 1773
0.00847964 0.991627386 3624 0.856565657 0.01 1831
0.004298949 0.995641864 3546 0.766161616 0.01 1814
0.00664582 0.993211572 2610 0.551010101 0.01 1628
0.0082837 0.991898522 2610 0.786868687 0.01 1629
0.008756618 0.991216308 3328 0.62020202 0.01 1752
0.005499976 0.994252016 2044 0.535858586 0.01 1471
0.008134709 0.991911279 3380 0.737878788 0.01 1785
0.004614964 0.995462172 3412 0.727272727 0.01 1783
0.007921059 0.992038252 3412 0.806060606 0.01 1785
0.008965393 0.991158722 3380 0.728282828 0.01 1799
0.007426422 0.992560805 2044 0.610606061 0.01 1487
0.006559182 0.993599078 3380 0.691919192 0.01 1815
0.00720472 0.992938722 2798 0.78989899 0.01 1675
0.009727259 0.990003048 2146 0.540909091 0.01 1502
0.008292739 0.991896258 3124 0.746969697 0.01 1737
0.006822 0.992880579 2480 0.763131313 0.01 1580
0.006280643 0.993621998 4564 0.835858586 0.01 2067
0.007535237 0.992496761 2586 0.575757576 0.01 1581
0.0074039 0.992575748 2978 0.585353535 0.01 1689
0.006584826 0.993691785 3412 0.736363636 0.01 1800
0.008579747 0.991182747 3412 0.806060606 0.01 1799
0.008641115 0.990893691 3980 0.848484848 0.01 1909
0.008383825 0.99155302 3986 0.857575758 0.01 1893
0.007510251 0.992663564 3412 0.909090909 0.01 1816
0.007133817 0.992701805 3380 0.536868687 0.01 1767
0.008712285 0.991294207 3986 0.734848485 0.01 1957
0.004839319 0.995249166 4246 0.764646465 0.01 1997
0.007711176 0.99232475 3316 0.878282828 0.01 1761
0.006131521 0.994005683 3932 0.86010101 0.01 1894
0.005310458 0.994542601 3054 0.606060606 0.01 1727
0.009050844 0.990721332 3316 0.824747475 0.01 1769
0.00982155 0.990192481 3110 0.824242424 0.01 1721
0.002768717 0.997238993 3412 0.730808081 0.01 1815
0.009057357 0.99124341 2592 0.643434343 0.01 1596
0.009855563 0.990143794 4018 0.795959596 0.01 1940
0.004735533 0.995379171 3412 0.797979798 0.01 1831
0.007499037 0.992544791 4602 0.77020202 0.01 2082
0.008445126 0.991706982 2480 0.513131313 0.01 1602
0.00977533 0.990278554 3316 0.845454545 0.01 1800
0.006697345 0.993179738 8124 0.824242424 0.01 2849
0.006939819 0.992928082 5000 0.815151515 0.01 2145
0.007502895 0.992331065 3380 0.9 0.01 1756
0.009603437 0.990412742 2818 0.674747475 0.01 1642
0.004403716 0.995524893 3820 0.753535354 0.01 1889
0.006957779 0.992859282 3412 0.861616162 0.01 1769
0.00659294 0.99349656 4136 0.648989899 0.01 1928
0.009268847 0.991159156 3412 0.769191919 0.01 1799
0.008123987 0.991882864 6420 0.859090909 0.01 2521
0.006694269 0.993477817 3616 0.667171717 0.01 1815
0.008626049 0.991537785 3932 0.784848485 0.01 1893
0.006162102 0.993770695 3820 0.839393939 0.01 1861
0.006623221 0.993494199 4246 0.866161616 0.01 2019
0.009729762 0.99033395 3412 0.760606061 0.01 1815
0.009779494 0.990133981 3106 0.81969697 0.01 1807
0.006968003 0.993169075 3380 0.754040404 0.01 1814
0.00701345 0.993132403 3546 0.70959596 0.01 1862
0.008290099 0.991568964 3154 0.875757576 0.01 1738
0.007779403 0.99215434 3624 0.791414141 0.01 1845
0.007780719 0.992238185 3980 0.535858586 0.01 1941
0.008223909 0.9915443 2146 0.597474747 0.01 1518
0.009274009 0.990261978 2978 0.661111111 0.01 1674
0.008932003 0.990914569 3986 0.764646465 0.01 1924
0.00787563 0.992278541 2888 0.534343434 0.01 1690
0.009759197 0.990193538 4192 0.862121212 0.01 1972
0.008612818 0.991533411 5298 0.859090909 0.01 2223
0.006199761 0.994041194 3124 0.841414141 0.01 1720
0.009428874 0.990451919 3054 0.826262626 0.01 1722
0.004104389 0.99601225 5018 0.746464646 0.01 2134
0.008730624 0.99114059 3546 0.837373737 0.01 1836
0.008125538 0.9920536 3412 0.563131313 0.01 1831
0.007575192 0.99256773 5572 0.82979798 0.01 2269
0.009186966 0.990542125 4558 0.808585859 0.01 2083
0.006698204 0.993337402 5394 0.840909091 0.01 2207
0.009417569 0.990595526 3546 0.748484848 0.01 1831
0.007189705 0.992880604 2208 0.532323232 0.01 1535
0.005000859 0.994858632 2978 0.549494949 0.01 1673
0.008339533 0.991325894 3124 0.893434343 0.01 1722
0.00976469 0.990213355 3412 0.704545455 0.01 1814
0.008422965 0.991656918 4316 0.86969697 0.01 2007
0.008480381 0.99175709 3624 0.561616162 0.01 1816
0.004885882 0.995205587 2798 0.732323232 0.01 1629
0.006039035 0.994069945 3380 0.862626263 0.01 1815
0.009858844 0.990079145 2480 0.604545455 0.01 1565
0.004676163 0.995344566 3546 0.773232323 0.01 1815
0.009693003 0.990549181 3868 0.811616162 0.01 1925
0.0072988 0.992826184 2998 0.843939394 0.01 1721
0.008175005 0.991839846 2798 0.897474747 0.01 1659
0.007975753 0.991926913 4246 0.828282828 0.01 1974
0.009033692 0.991098166 3980 0.895959596 0.01 1924
0.007232272 0.992754784 4246 0.613131313 0.01 1988
0.00738014 0.992473553 3412 0.891919192 0.01 1831
0.009362679 0.990543453 2610 0.752020202 0.01 1611
0.006825249 0.99314097 3380 0.875757576 0.01 1768
0.006793522 0.993238363 2886 0.595454545 0.01 1659
0.007506613 0.992692794 2044 0.6 0.01 1488
0.009543595 0.990388005 2798 0.666161616 0.01 1659
0.009124797 0.990854338 2342 0.540909091 0.01 1612
0.007851737 0.992188762 3380 0.612626263 0.01 1799
0.008607651 0.991404922 4032 0.57020202 0.01 1972
0.007705014 0.992098101 3754 0.685353535 0.01 1894
0.006308052 0.993664234 4376 0.612121212 0.01 2032
0.006006169 0.993942209 2044 0.608585859 0.01 1502
0.005574631 0.994320598 2208 0.545454545 0.01 1518
0.00797905 0.992017 3006 0.519191919 0.01 1690
0.005056112 0.995023287 3006 0.730808081 0.01 1739
0.008648655 0.991647103 3006 0.695454545 0.01 1754
0.009075007 0.990948533 4522 0.881818182 0.01 2074
0.006664917 0.993202239 3726 0.825252525 0.01 1910
0.00594638 0.994063385 3380 0.76010101 0.01 1816
0.005913228 0.994127446 3412 0.738888889 0.01 1798
0.009641827 0.990184739 2798 0.755050505 0.01 1644
0.004436362 0.995453846 3986 0.731313131 0.01 1940
0.007277003 0.992785468 3412 0.755050505 0.01 1785
0.009732333 0.990059089 3006 0.676767677 0.01 1752
0.007967586 0.991983844 4220 0.853030303 0.01 2004
0.009011685 0.990942982 5348 0.84040404 0.01 2222
0.007952489 0.991937742 3546 0.849494949 0.01 1847
0.007955744 0.992114129 3054 0.778282828 0.01 1752
0.008991153 0.990999511 2876 0.557070707 0.01 1706
0.008526032 0.991565579 3654 0.781313131 0.01 1878
0.00756172 0.992320801 3316 0.825252525 0.01 1800
0.009466584 0.990084494 2818 0.778787879 0.01 1689
0.008698545 0.990841409 2610 0.734848485 0.01 1675
0.008074511 0.991886045 5162 0.834848485 0.01 2238
0.005894283 0.99414546 4246 0.80959596 0.01 1987
0.009609 0.990611226 3872 0.798484848 0.01 1894
0.00818594 0.991643912 2968 0.557575758 0.01 1705
0.008868438 0.99111448 2886 0.597474747 0.01 1690
0.007792042 0.99184488 5886 0.851010101 0.01 2327
0.007928519 0.992188919 2610 0.563636364 0.01 1611
0.008066327 0.991944385 4058 0.677272727 0.01 1909
0.008696968 0.991366947 2684 0.524747475 0.01 1694
0.005070416 0.994858211 3980 0.797979798 0.01 1909
0.009800386 0.990122835 8562 0.792424242 0.01 2960
0.00548601 0.994191699 2960 0.547474747 0.01 1754
0.005434052 0.994399914 3006 0.601515152 0.01 1697
0.006257167 0.993815089 2342 0.646969697 0.01 1565
0.008965663 0.990602683 5172 0.837878788 0.01 2176
0.005180795 0.994962872 3412 0.756060606 0.01 1800
0.006780157 0.993129905 2268 0.62979798 0.01 1533
0.007866262 0.992123961 2748 0.588383838 0.01 1699
0.008039889 0.991992323 3380 0.520707071 0.01 1783
0.00538515 0.994559541 3006 0.772727273 0.01 1738
0.009532002 0.990497557 3670 0.728787879 0.01 1887
0.007933793 0.991844081 4192 0.812121212 0.01 1995
362610
7.04E-04 0.99927038 5572 0.808080808 0.001 2258
7.36E-04 0.999250415 3986 0.651515152 0.001 1909
4.65E-04 0.999547741 4522 0.916161616 0.001 2097
6.61E-04 0.999330788 4376 0.509090909 0.001 2050
9.84E-04 0.999002779 4364 0.852525253 0.001 1987
5.15E-04 0.999490317 4246 0.72979798 0.001 2035
3.48E-04 0.999648909 4316 0.725757576 0.001 2003
6.53E-04 0.999364761 6968 0.758080808 0.001 2614
2.41E-04 0.999763424 4246 0.763131313 0.001 2003
4.19E-04 0.999575586 4246 0.922222222 0.001 2034
8.89E-04 0.999102134 4370 0.687878788 0.001 2033
9.74E-04 0.999015941 4376 0.578282828 0.001 2050
8.00E-04 0.9992003 3932 0.791414141 0.001 1908
7.65E-04 0.999251291 4246 0.880808081 0.001 1985
2.24E-04 0.999769341 4384 0.802020202 0.001 2026
8.02E-04 0.999200834 6076 0.883333333 0.001 2397
4.63E-04 0.999527839 4870 0.695454545 0.001 2160
3.53E-04 0.99965973 5394 0.902525253 0.001 2239
6.65E-04 0.999353581 4058 0.842929293 0.001 1909
8.28E-04 0.999165202 3932 0.784848485 0.001 1909
9.72E-04 0.999028292 5162 0.850505051 0.001 2167
4.70E-04 0.999528979 4316 0.718686869 0.001 1988
7.04E-04 0.999301356 4162 0.781818182 0.001 1955
9.27E-04 0.999097987 5172 0.626767677 0.001 2238
7.41E-04 0.999271123 6888 0.853535354 0.001 2567
6.63E-04 0.999333438 4246 0.740909091 0.001 1972
9.85E-04 0.999017552 4248 0.510606061 0.001 1955
8.02E-04 0.999185358 3628 0.665656566 0.001 1830
5.76E-04 0.999435495 4836 0.880808081 0.001 2113
9.66E-04 0.999021654 4136 0.556565657 0.001 1988
7.45E-04 0.999250247 5088 0.78030303 0.001 2195
6.14E-04 0.999380715 5632 0.58030303 0.001 2269
9.38E-04 0.999074966 4870 0.563131313 0.001 2081
5.79E-04 0.999394675 5394 0.70959596 0.001 2269
8.05E-04 0.99920303 6076 0.50959596 0.001 2411
6.33E-04 0.999367499 4384 0.615656566 0.001 2033
9.53E-04 0.999031782 6968 0.883838384 0.001 2646
8.74E-04 0.999133744 4558 0.727777778 0.001 2036
5.79E-04 0.999415334 5764 0.777777778 0.001 2333
6.95E-04 0.99932272 5394 0.755050505 0.001 2289
9.61E-04 0.999027037 4246 0.854040404 0.001 1972
9.06E-04 0.99909751 5172 0.781313131 0.001 2167
8.12E-04 0.999202628 4316 0.571212121 0.001 1982
7.44E-04 0.999262912 4316 0.845959596 0.001 1974
8.12E-04 0.99919757 4676 0.854545455 0.001 2066
8.64E-04 0.999160185 4246 0.742929293 0.001 1972
8.80E-04 0.999151885 4376 0.847474747 0.001 2054
9.97E-04 0.999025726 5632 0.564141414 0.001 2347
8.27E-04 0.999171188 4924 0.768181818 0.001 2138
8.65E-04 0.999111109 5680 0.774747475 0.001 2297
8.42E-04 0.999166029 5298 0.845959596 0.001 2208
4.10E-04 0.999587866 4246 0.81969697 0.001 2008
6.63E-04 0.999334188 6968 0.888383838 0.001 2598
6.43E-04 0.999356194 3980 0.514646465 0.001 1908
7.34E-04 0.99929153 6968 0.873737374 0.001 2614
7.67E-04 0.999233598 4624 0.797474747 0.001 2160
8.77E-04 0.99916682 3412 0.635858586 0.001 1755
6.47E-04 0.999360142 4376 0.517676768 0.001 1987
9.31E-04 0.999083886 4924 0.565151515 0.001 2129
8.85E-04 0.999124199 4384 0.583838384 0.001 2051
9.61E-04 0.999032619 3546 0.518686869 0.001 1800
9.15E-04 0.999091115 6060 0.532323232 0.001 2393
8.88E-04 0.999129003 3624 0.701515152 0.001 1815
9.61E-04 0.999019625 3006 0.517171717 0.001 1706
3.83E-04 0.999614478 4522 0.871717172 0.001 2003
4.37E-04 0.999564039 5680 0.797474747 0.001 2301
8.46E-04 0.999164405 5694 0.730808081 0.001 2349
8.27E-04 0.999148366 3548 0.809090909 0.001 1893
9.46E-04 0.999055926 5454 0.879292929 0.001 2238
9.11E-04 0.999091293 5454 0.832323232 0.001 2222
6.85E-04 0.999307992 4522 0.771717172 0.001 2082
1.00E-03 0.999001516 5508 0.556565657 0.001 2333
3.21E-04 0.999673796 5680 0.678282828 0.001 2286
8.90E-04 0.999111352 4246 0.526767677 0.001 1971
5.66E-04 0.999415939 5680 0.514141414 0.001 2332
8.39E-04 0.99916109 3932 0.569191919 0.001 1909
8.15E-04 0.999169148 4136 0.692929293 0.001 1965
9.52E-04 0.999025584 4522 0.85 0.001 2038
4.56E-04 0.999549 5162 0.617676768 0.001 2223
7.89E-04 0.999211776 3920 0.507070707 0.001 1895
9.06E-04 0.999107162 3932 0.87020202 0.001 1913
9.25E-04 0.99906592 6076 0.698484848 0.001 2362
9.49E-04 0.999054646 4924 0.724242424 0.001 2113
9.54E-04 0.999039132 3982 0.547474747 0.001 1956
9.51E-04 0.999041961 3616 0.654040404 0.001 1830
8.20E-04 0.999189199 5298 0.747979798 0.001 2256
8.71E-04 0.999094319 4924 0.845454545 0.001 2242
9.09E-04 0.999103345 5916 0.894444444 0.001 2348
3.72E-04 0.999629944 5086 0.885353535 0.001 2207
6.32E-04 0.999365534 4384 0.774242424 0.001 2052
8.69E-04 0.999147502 4136 0.690909091 0.001 1987
9.26E-04 0.999105519 5128 0.796464646 0.001 2145
7.20E-04 0.999282165 3932 0.768181818 0.001 1896
2.29E-04 0.999769351 4246 0.806060606 0.001 1973
6.62E-04 0.999332258 3546 0.622222222 0.001 1800
8.60E-04 0.999130293 4376 0.622222222 0.001 1986
9.52E-04 0.999026303 3546 0.677272727 0.001 1815
8.55E-04 0.999148175 5246 0.546969697 0.001 2208
7.23E-04 0.999298824 3986 0.701515152 0.001 1909
7.54E-04 0.99926516 4384 0.607575758 0.001 2005
9.39E-04 0.999063132 4384 0.52020202 0.001 2003
8.54E-04 0.999154918 4316 0.72020202 0.001 1988
5.98E-04 0.999399727 6968 0.838383838 0.001 2645
8.65E-04 0.999107102 4522 0.862121212 0.001 2099
8.66E-04 0.999162117 3646 0.805555556 0.001 1830
8.17E-04 0.999156706 3932 0.759090909 0.001 1910
8.61E-04 0.99913053 4384 0.677777778 0.001 2004
8.45E-04 0.999137899 4384 0.511111111 0.001 2003
7.31E-04 0.999276442 5086 0.64040404 0.001 2206
4.67E-04 0.999534786 7912 0.846969697 0.001 2786
9.77E-04 0.999022966 4602 0.56969697 0.001 2060
9.47E-04 0.999054214 7460 0.842929293 0.001 2730
8.29E-04 0.999167383 5086 0.53989899 0.001 2159
6.20E-04 0.99939091 4184 0.748484848 0.001 1988
8.20E-04 0.999181063 4782 0.516666667 0.001 2129
8.11E-04 0.999199118 3416 0.521717172 0.001 1785
3.75E-04 0.999616908 5680 0.809090909 0.001 2254
9.14E-04 0.999100903 4162 0.835353535 0.001 1940
6.59E-04 0.999355083 4184 0.763131313 0.001 1994
7.64E-04 0.999219748 4246 0.751515152 0.001 1956
9.09E-04 0.999081157 4220 0.790909091 0.001 1971
9.36E-04 0.99905118 4782 0.566161616 0.001 2098
8.11E-04 0.999162294 5162 0.867676768 0.001 2230
5.67E-04 0.999452375 6504 0.889393939 0.001 2520
9.21E-04 0.99907982 3932 0.668686869 0.001 1909
4.81E-04 0.999508797 4246 0.902525253 0.001 2003
9.51E-04 0.999049444 5572 0.786363636 0.001 2316
9.27E-04 0.999047063 5778 0.851010101 0.001 2332
9.41E-04 0.999066698 3006 0.564646465 0.001 1721
9.41E-04 0.999040949 4522 0.866161616 0.001 2083
8.36E-04 0.999144711 4316 0.845959596 0.001 1987
6.81E-04 0.999308105 4192 0.714141414 0.001 1988
4.64E-04 0.999518994 4522 0.881818182 0.001 2113
9.08E-04 0.999123616 4522 0.887373737 0.001 2066
8.66E-04 0.999131582 4316 0.590909091 0.001 2033
8.26E-04 0.999174944 10670 0.842929293 0.001 3553
8.34E-04 0.999181789 4924 0.554545455 0.001 2129
8.92E-04 0.999103832 4522 0.780808081 0.001 2019
8.86E-04 0.999076097 3986 0.768686869 0.001 1893
9.40E-04 0.999052369 7592 0.86969697 0.001 2739
4.88E-04 0.999512891 4384 0.61969697 0.001 2004
8.51E-04 0.99913673 5246 0.541414141 0.001 2238
6.71E-04 0.999343837 3980 0.509090909 0.001 1893
7.48E-04 0.999222698 4522 0.811616162 0.001 2051
4.13E-04 0.999594501 5086 0.821717172 0.001 2176
8.68E-04 0.99914601 4376 0.563636364 0.001 2020
8.07E-04 0.999200997 4376 0.552525253 0.001 2034
6.43E-04 0.999335005 7592 0.863131313 0.001 2786
5.84E-04 0.99940234 4522 0.861616162 0.001 2084
9.76E-04 0.999055906 5778 0.814141414 0.001 2332
9.02E-04 0.99911275 4246 0.820707071 0.001 2003
7.13E-04 0.99929921 2978 0.544444444 0.001 1706
6.90E-04 0.999322391 6420 0.880808081 0.001 2425
6.04E-04 0.999388869 4384 0.515656566 0.001 2019
8.96E-04 0.999097515 5020 0.730808081 0.001 2177
7.41E-04 0.99927342 4376 0.513131313 0.001 2034
9.00E-04 0.9991029 4384 0.514141414 0.001 2018
5.78E-04 0.999416044 4376 0.696464646 0.001 2005
5.82E-04 0.99940839 3920 0.748484848 0.001 1941
4.50E-04 0.999564177 5246 0.864646465 0.001 2222
7.63E-04 0.9992552 4958 0.558585859 0.001 2129
4.96E-04 0.999502083 4384 0.51010101 0.001 1998
8.22E-04 0.999169898 6032 0.603030303 0.001 2427
8.71E-04 0.99910715 3546 0.528282828 0.001 1831
8.95E-04 0.999138327 4522 0.818686869 0.001 2050
3.29E-04 0.999673023 5086 0.66969697 0.001 2177
9.44E-04 0.999048107 3006 0.555555556 0.001 1722
9.27E-04 0.999075269 4246 0.792424242 0.001 1972
5.22E-04 0.999488868 3412 0.533333333 0.001 1783
4.24E-04 0.999583606 5680 0.508080808 0.001 2270
8.26E-04 0.999180184 5394 0.527272727 0.001 2207
9.38E-04 0.999063631 3932 0.697979798 0.001 1893
7.87E-04 0.999186485 4162 0.717171717 0.001 1955
5.88E-04 0.99941692 3412 0.685353535 0.001 1785
8.22E-04 0.999204681 4212 0.78989899 0.001 1973
8.47E-04 0.999146221 4522 0.789393939 0.001 2053
4.67E-04 0.999523688 5680 0.888383838 0.001 2301
8.57E-04 0.999130578 4458 0.526262626 0.001 2003
6.18E-04 0.999394516 4136 0.607575758 0.001 1941
8.29E-04 0.99917279 5246 0.55 0.001 2222
8.49E-04 0.999170406 6380 0.708080808 0.001 2504
9.40E-04 0.999051823 4662 0.692929293 0.001 2082
8.46E-04 0.999162748 5298 0.758585859 0.001 2226
9.63E-04 0.99902164 4248 0.587878788 0.001 1988
9.24E-04 0.999068228 4958 0.52020202 0.001 2130
9.22E-04 0.999054323 7912 0.801515152 0.001 2786
7.85E-04 0.999192602 5508 0.685353535 0.001 2288
9.88E-04 0.99901207 3412 0.781818182 0.001 1784
9.27E-05 0.999906211 5246 0.825757576 0.001 2207
9.64E-04 0.999058104 4246 0.85 0.001 1971
6.72E-04 0.999324066 5394 0.742424242 0.001 2254
8.71E-04 0.999110175 5680 0.825252525 0.001 2285
5.79E-04 0.999429279 5162 0.580808081 0.001 2176
7.46E-04 0.999248836 3986 0.711616162 0.001 1940
5.41E-04 0.999447507 5394 0.770707071 0.001 2292
9.79E-04 0.999008323 4384 0.868686869 0.001 2034
8.55E-04 0.999150882 5000 0.821717172 0.001 2144
9.54E-04 0.999075543 4384 0.6 0.001 2003
5.77E-04 0.99941707 4316 0.728787879 0.001 1987
420198
7.09E-05 0.999928585 9072 0.505050505 1.00E-04 3065
7.32E-05 0.999925923 6446 0.508585859 1.00E-04 2473
7.71E-05 0.9999234 6550 0.53030303 1.00E-04 2520
2.91E-05 0.999969906 6928 0.793434343 1.00E-04 2598
9.24E-05 0.999911089 7920 0.75 1.00E-04 2849
8.61E-05 0.999916379 7912 0.808585859 1.00E-04 2786
5.25E-05 0.999948318 6928 0.781313131 1.00E-04 2582
9.91E-05 0.999900446 6712 0.889393939 1.00E-04 2528
7.36E-05 0.999924377 6420 0.776767677 1.00E-04 2458
4.85E-05 0.999953168 6504 0.81969697 1.00E-04 2490
5.51E-05 0.999944061 7912 0.54040404 1.00E-04 2800
9.45E-05 0.999906208 6888 0.687878788 1.00E-04 2582
9.51E-05 0.99990559 5246 0.834343434 1.00E-04 2254
7.01E-05 0.999928255 5494 0.631313131 1.00E-04 2255
5.44E-05 0.999945245 6888 0.717676768 1.00E-04 2597
9.30E-05 0.999907558 8874 0.518686869 1.00E-04 2991
5.17E-05 0.999947539 5394 0.771212121 1.00E-04 2271
8.67E-05 0.999914254 6504 0.505555556 1.00E-04 2525
4.63E-05 0.99995367 9306 0.894444444 1.00E-04 3088
3.69E-05 0.999962724 5246 0.815656566 1.00E-04 2192
4.48E-05 0.999954422 9326 0.764141414 1.00E-04 3111
5.73E-05 0.999942928 6076 0.746969697 1.00E-04 2410
7.82E-05 0.999921741 9574 0.730808081 1.00E-04 3224
2.42E-05 0.999976279 5246 0.72020202 1.00E-04 2192
7.09E-05 0.999928852 5246 0.743434343 1.00E-04 2191
8.01E-05 0.999921195 9574 0.505050505 1.00E-04 3199
6.70E-06 0.999993309 6928 0.826767677 1.00E-04 2615
6.55E-05 0.999933376 6928 0.584343434 1.00E-04 2583
4.88E-05 0.999952717 6076 0.586363636 1.00E-04 2410
3.83E-05 0.999961562 6458 0.646464646 1.00E-04 2488
6.19E-05 0.999937658 5680 0.785353535 1.00E-04 2316
6.41E-05 0.999936354 8124 0.899494949 1.00E-04 2850
4.44E-05 0.999955771 6324 0.76010101 1.00E-04 2441
1.23E-05 0.999987349 6928 0.837373737 1.00E-04 2568
4.69E-05 0.999953895 5246 0.80959596 1.00E-04 2209
7.02E-05 0.999929243 6324 0.51010101 1.00E-04 2505
8.91E-05 0.999914041 5778 0.788888889 1.00E-04 2333
4.80E-05 0.999952233 5394 0.756565657 1.00E-04 2254
9.82E-05 0.999902427 8382 0.563131313 1.00E-04 2895
7.04E-05 0.999928515 6076 0.83989899 1.00E-04 2363
9.88E-05 0.99990426 4624 0.582323232 1.00E-04 2036
4.79E-05 0.999952004 9060 0.623232323 1.00E-04 3053
8.85E-05 0.999909368 7880 0.699494949 1.00E-04 2826
4.24E-05 0.999956543 9306 0.914646465 1.00E-04 3105
8.20E-05 0.999919465 6458 0.768181818 1.00E-04 2487
8.08E-05 0.999918022 5148 0.52020202 1.00E-04 2223
8.19E-05 0.999918811 6888 0.843939394 1.00E-04 2583
6.91E-05 0.999930862 9072 0.505050505 1.00E-04 3099
3.69E-05 0.999963716 8872 0.593939394 1.00E-04 3004
8.33E-05 0.999917366 6420 0.811111111 1.00E-04 2489
8.81E-05 0.99991366 7912 0.847979798 1.00E-04 2754
8.06E-05 0.999922417 5246 0.708080808 1.00E-04 2160
8.35E-05 0.999918009 5680 0.641919192 1.00E-04 2285
9.56E-05 0.999902974 5394 0.692929293 1.00E-04 2222
6.73E-05 0.999932807 5394 0.722222222 1.00E-04 2222
8.14E-05 0.999916354 6076 0.774747475 1.00E-04 2379
8.55E-05 0.999911915 5572 0.901515152 1.00E-04 2254
6.88E-05 0.999930142 6812 0.508080808 1.00E-04 2489
6.77E-05 0.999931498 7412 0.537373737 1.00E-04 2645
9.06E-05 0.999911058 7446 0.642424242 1.00E-04 2676
6.82E-05 0.999929142 4522 0.56969697 1.00E-04 2023
8.88E-05 0.999911208 4384 0.618686869 1.00E-04 2003
9.53E-05 0.999907327 6812 0.630808081 1.00E-04 2521
9.63E-05 0.999907405 6458 0.661616162 1.00E-04 2504
8.39E-05 0.999917554 7412 0.518686869 1.00E-04 2677
7.40E-05 0.999927875 5680 0.822222222 1.00E-04 2318
7.37E-05 0.999926296 5680 0.822727273 1.00E-04 2302
8.97E-05 0.999908823 7920 0.652525253 1.00E-04 2807
8.97E-05 0.999909127 5246 0.521717172 1.00E-04 2161
8.08E-05 0.999917466 6812 0.578787879 1.00E-04 2553
9.65E-05 0.9999021 6656 0.516161616 1.00E-04 2504
9.06E-05 0.999909372 5018 0.533333333 1.00E-04 2161
9.62E-05 0.999902834 5572 0.887878788 1.00E-04 2254
4.88E-05 0.999951298 5246 0.627777778 1.00E-04 2175
4.27E-05 0.9999563 9072 0.515656566 1.00E-04 3120
9.36E-05 0.999901815 5298 0.608585859 1.00E-04 2192
8.37E-05 0.999915438 10210 0.563131313 1.00E-04 3287
4.67E-05 0.999953453 5394 0.58989899 1.00E-04 2270
5.51E-05 0.999947102 5394 0.849494949 1.00E-04 2238
9.61E-05 0.999902661 6076 0.752525253 1.00E-04 2366
7.77E-05 0.99992253 8872 0.54040404 1.00E-04 2990
9.77E-05 0.999902151 8648 0.548484848 1.00E-04 2943
3.71E-05 0.999963376 5680 0.689393939 1.00E-04 2270
8.51E-05 0.999912807 7412 0.521717172 1.00E-04 2707
8.72E-05 0.999913361 7446 0.535858586 1.00E-04 2647
9.06E-05 0.999909533 12758 0.506565657 1.00E-04 3880
3.58E-05 0.999963011 5680 0.837373737 1.00E-04 2334
7.61E-05 0.99992092 8124 0.886868687 1.00E-04 2804
4.29E-05 0.999958357 5680 0.715656566 1.00E-04 2269
8.84E-05 0.999911509 5394 0.515656566 1.00E-04 2228
7.08E-05 0.999930053 5680 0.845454545 1.00E-04 2254
6.24E-05 0.999936839 8468 0.565656566 1.00E-04 2887
7.57E-05 0.999923688 7446 0.881818182 1.00E-04 2724
9.19E-05 0.999907302 11204 0.874242424 1.00E-04 3513
7.88E-05 0.999922951 6076 0.544949495 1.00E-04 2409
6.18E-06 0.999993664 6324 0.672222222 1.00E-04 2478
9.42E-05 0.999904865 5246 0.810606061 1.00E-04 2215
8.59E-05 0.999914337 5148 0.635858586 1.00E-04 2191
5.69E-05 0.999942445 5246 0.537878788 1.00E-04 2192
6.74E-05 0.999931886 5680 0.722727273 1.00E-04 2285
5.84E-05 0.999941461 9326 0.773737374 1.00E-04 3110
3.76E-05 0.999963131 5680 0.778787879 1.00E-04 2331
6.45E-05 0.999934909 8124 0.506565657 1.00E-04 2850
5.84E-05 0.999941607 8124 0.891919192 1.00E-04 2806
4.76E-05 0.999953391 5246 0.842929293 1.00E-04 2192
6.21E-05 0.999932585 6324 0.671717172 1.00E-04 2411
6.63E-05 0.999934988 6076 0.918181818 1.00E-04 2442
6.88E-05 0.999930068 5680 0.86969697 1.00E-04 2337
7.74E-05 0.999923013 8878 0.509090909 1.00E-04 3021
7.33E-05 0.999928591 5680 0.892424242 1.00E-04 2285
5.27E-05 0.999945906 6076 0.929292929 1.00E-04 2363
7.28E-05 0.999926298 5148 0.511111111 1.00E-04 2192
5.17E-05 0.999947577 5680 0.890909091 1.00E-04 2283
6.28E-05 0.999935849 6324 0.784848485 1.00E-04 2459
8.36E-05 0.999914365 10400 0.785858586 1.00E-04 3334
9.13E-05 0.999909832 5394 0.610606061 1.00E-04 2269
5.15E-05 0.999948293 6324 0.738888889 1.00E-04 2398
7.49E-05 0.999925388 7880 0.903535354 1.00E-04 2801
5.94E-05 0.999940191 7880 0.566666667 1.00E-04 2832
5.48E-05 0.999945616 6888 0.81969697 1.00E-04 2598
7.72E-05 0.999922421 6458 0.642424242 1.00E-04 2473
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531615
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1810266
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2298649