Skip to content

Instantly share code, notes, and snippets.

@abovethemean
Last active August 30, 2023 06:08
Show Gist options
  • Star 5 You must be signed in to star a gist
  • Fork 3 You must be signed in to fork a gist
  • Save abovethemean/9395398 to your computer and use it in GitHub Desktop.
Save abovethemean/9395398 to your computer and use it in GitHub Desktop.
Webapp for finding out how large your penis really is
!function(){function n(n){return null!=n&&!isNaN(n)}function t(n){return n.length}function e(n){for(var t=1;n*t%1;)t*=10;return t}function r(n,t){try{for(var e in t)Object.defineProperty(n.prototype,e,{value:t[e],enumerable:!1})}catch(r){n.prototype=t}}function u(){}function i(n){return aa+n in this}function o(n){return n=aa+n,n in this&&delete this[n]}function a(){var n=[];return this.forEach(function(t){n.push(t)}),n}function c(){var n=0;for(var t in this)t.charCodeAt(0)===ca&&++n;return n}function s(){for(var n in this)if(n.charCodeAt(0)===ca)return!1;return!0}function l(){}function f(n,t,e){return function(){var r=e.apply(t,arguments);return r===t?n:r}}function h(n,t){if(t in n)return t;t=t.charAt(0).toUpperCase()+t.substring(1);for(var e=0,r=sa.length;r>e;++e){var u=sa[e]+t;if(u in n)return u}}function g(){}function p(){}function v(n){function t(){for(var t,r=e,u=-1,i=r.length;++u<i;)(t=r[u].on)&&t.apply(this,arguments);return n}var e=[],r=new u;return t.on=function(t,u){var i,o=r.get(t);return arguments.length<2?o&&o.on:(o&&(o.on=null,e=e.slice(0,i=e.indexOf(o)).concat(e.slice(i+1)),r.remove(t)),u&&e.push(r.set(t,{on:u})),n)},t}function d(){Xo.event.preventDefault()}function m(){for(var n,t=Xo.event;n=t.sourceEvent;)t=n;return t}function y(n){for(var t=new p,e=0,r=arguments.length;++e<r;)t[arguments[e]]=v(t);return t.of=function(e,r){return function(u){try{var i=u.sourceEvent=Xo.event;u.target=n,Xo.event=u,t[u.type].apply(e,r)}finally{Xo.event=i}}},t}function x(n){return fa(n,da),n}function M(n){return"function"==typeof n?n:function(){return ha(n,this)}}function _(n){return"function"==typeof n?n:function(){return ga(n,this)}}function b(n,t){function e(){this.removeAttribute(n)}function r(){this.removeAttributeNS(n.space,n.local)}function u(){this.setAttribute(n,t)}function i(){this.setAttributeNS(n.space,n.local,t)}function o(){var e=t.apply(this,arguments);null==e?this.removeAttribute(n):this.setAttribute(n,e)}function a(){var e=t.apply(this,arguments);null==e?this.removeAttributeNS(n.space,n.local):this.setAttributeNS(n.space,n.local,e)}return n=Xo.ns.qualify(n),null==t?n.local?r:e:"function"==typeof t?n.local?a:o:n.local?i:u}function w(n){return n.trim().replace(/\s+/g," ")}function S(n){return new RegExp("(?:^|\\s+)"+Xo.requote(n)+"(?:\\s+|$)","g")}function k(n){return n.trim().split(/^|\s+/)}function E(n,t){function e(){for(var e=-1;++e<u;)n[e](this,t)}function r(){for(var e=-1,r=t.apply(this,arguments);++e<u;)n[e](this,r)}n=k(n).map(A);var u=n.length;return"function"==typeof t?r:e}function A(n){var t=S(n);return function(e,r){if(u=e.classList)return r?u.add(n):u.remove(n);var u=e.getAttribute("class")||"";r?(t.lastIndex=0,t.test(u)||e.setAttribute("class",w(u+" "+n))):e.setAttribute("class",w(u.replace(t," ")))}}function C(n,t,e){function r(){this.style.removeProperty(n)}function u(){this.style.setProperty(n,t,e)}function i(){var r=t.apply(this,arguments);null==r?this.style.removeProperty(n):this.style.setProperty(n,r,e)}return null==t?r:"function"==typeof t?i:u}function N(n,t){function e(){delete this[n]}function r(){this[n]=t}function u(){var e=t.apply(this,arguments);null==e?delete this[n]:this[n]=e}return null==t?e:"function"==typeof t?u:r}function L(n){return"function"==typeof n?n:(n=Xo.ns.qualify(n)).local?function(){return this.ownerDocument.createElementNS(n.space,n.local)}:function(){return this.ownerDocument.createElementNS(this.namespaceURI,n)}}function z(n){return{__data__:n}}function q(n){return function(){return va(this,n)}}function T(n){return arguments.length||(n=Xo.ascending),function(t,e){return t&&e?n(t.__data__,e.__data__):!t-!e}}function R(n,t){for(var e=0,r=n.length;r>e;e++)for(var u,i=n[e],o=0,a=i.length;a>o;o++)(u=i[o])&&t(u,o,e);return n}function D(n){return fa(n,ya),n}function P(n){var t,e;return function(r,u,i){var o,a=n[i].update,c=a.length;for(i!=e&&(e=i,t=0),u>=t&&(t=u+1);!(o=a[t])&&++t<c;);return o}}function U(){var n=this.__transition__;n&&++n.active}function j(n,t,e){function r(){var t=this[o];t&&(this.removeEventListener(n,t,t.$),delete this[o])}function u(){var u=c(t,Bo(arguments));r.call(this),this.addEventListener(n,this[o]=u,u.$=e),u._=t}function i(){var t,e=new RegExp("^__on([^.]+)"+Xo.requote(n)+"$");for(var r in this)if(t=r.match(e)){var u=this[r];this.removeEventListener(t[1],u,u.$),delete this[r]}}var o="__on"+n,a=n.indexOf("."),c=H;a>0&&(n=n.substring(0,a));var s=Ma.get(n);return s&&(n=s,c=F),a?t?u:r:t?g:i}function H(n,t){return function(e){var r=Xo.event;Xo.event=e,t[0]=this.__data__;try{n.apply(this,t)}finally{Xo.event=r}}}function F(n,t){var e=H(n,t);return function(n){var t=this,r=n.relatedTarget;r&&(r===t||8&r.compareDocumentPosition(t))||e.call(t,n)}}function O(){var n=".dragsuppress-"+ ++ba,t="click"+n,e=Xo.select(Go).on("touchmove"+n,d).on("dragstart"+n,d).on("selectstart"+n,d);if(_a){var r=Jo.style,u=r[_a];r[_a]="none"}return function(i){function o(){e.on(t,null)}e.on(n,null),_a&&(r[_a]=u),i&&(e.on(t,function(){d(),o()},!0),setTimeout(o,0))}}function Y(n,t){t.changedTouches&&(t=t.changedTouches[0]);var e=n.ownerSVGElement||n;if(e.createSVGPoint){var r=e.createSVGPoint();if(0>wa&&(Go.scrollX||Go.scrollY)){e=Xo.select("body").append("svg").style({position:"absolute",top:0,left:0,margin:0,padding:0,border:"none"},"important");var u=e[0][0].getScreenCTM();wa=!(u.f||u.e),e.remove()}return wa?(r.x=t.pageX,r.y=t.pageY):(r.x=t.clientX,r.y=t.clientY),r=r.matrixTransform(n.getScreenCTM().inverse()),[r.x,r.y]}var i=n.getBoundingClientRect();return[t.clientX-i.left-n.clientLeft,t.clientY-i.top-n.clientTop]}function I(n){return n>0?1:0>n?-1:0}function Z(n,t,e){return(t[0]-n[0])*(e[1]-n[1])-(t[1]-n[1])*(e[0]-n[0])}function V(n){return n>1?0:-1>n?Sa:Math.acos(n)}function X(n){return n>1?Ea:-1>n?-Ea:Math.asin(n)}function $(n){return((n=Math.exp(n))-1/n)/2}function B(n){return((n=Math.exp(n))+1/n)/2}function W(n){return((n=Math.exp(2*n))-1)/(n+1)}function J(n){return(n=Math.sin(n/2))*n}function G(){}function K(n,t,e){return new Q(n,t,e)}function Q(n,t,e){this.h=n,this.s=t,this.l=e}function nt(n,t,e){function r(n){return n>360?n-=360:0>n&&(n+=360),60>n?i+(o-i)*n/60:180>n?o:240>n?i+(o-i)*(240-n)/60:i}function u(n){return Math.round(255*r(n))}var i,o;return n=isNaN(n)?0:(n%=360)<0?n+360:n,t=isNaN(t)?0:0>t?0:t>1?1:t,e=0>e?0:e>1?1:e,o=.5>=e?e*(1+t):e+t-e*t,i=2*e-o,gt(u(n+120),u(n),u(n-120))}function tt(n,t,e){return new et(n,t,e)}function et(n,t,e){this.h=n,this.c=t,this.l=e}function rt(n,t,e){return isNaN(n)&&(n=0),isNaN(t)&&(t=0),ut(e,Math.cos(n*=Na)*t,Math.sin(n)*t)}function ut(n,t,e){return new it(n,t,e)}function it(n,t,e){this.l=n,this.a=t,this.b=e}function ot(n,t,e){var r=(n+16)/116,u=r+t/500,i=r-e/200;return u=ct(u)*Fa,r=ct(r)*Oa,i=ct(i)*Ya,gt(lt(3.2404542*u-1.5371385*r-.4985314*i),lt(-.969266*u+1.8760108*r+.041556*i),lt(.0556434*u-.2040259*r+1.0572252*i))}function at(n,t,e){return n>0?tt(Math.atan2(e,t)*La,Math.sqrt(t*t+e*e),n):tt(0/0,0/0,n)}function ct(n){return n>.206893034?n*n*n:(n-4/29)/7.787037}function st(n){return n>.008856?Math.pow(n,1/3):7.787037*n+4/29}function lt(n){return Math.round(255*(.00304>=n?12.92*n:1.055*Math.pow(n,1/2.4)-.055))}function ft(n){return gt(n>>16,255&n>>8,255&n)}function ht(n){return ft(n)+""}function gt(n,t,e){return new pt(n,t,e)}function pt(n,t,e){this.r=n,this.g=t,this.b=e}function vt(n){return 16>n?"0"+Math.max(0,n).toString(16):Math.min(255,n).toString(16)}function dt(n,t,e){var r,u,i,o=0,a=0,c=0;if(r=/([a-z]+)\((.*)\)/i.exec(n))switch(u=r[2].split(","),r[1]){case"hsl":return e(parseFloat(u[0]),parseFloat(u[1])/100,parseFloat(u[2])/100);case"rgb":return t(Mt(u[0]),Mt(u[1]),Mt(u[2]))}return(i=Va.get(n))?t(i.r,i.g,i.b):(null!=n&&"#"===n.charAt(0)&&(4===n.length?(o=n.charAt(1),o+=o,a=n.charAt(2),a+=a,c=n.charAt(3),c+=c):7===n.length&&(o=n.substring(1,3),a=n.substring(3,5),c=n.substring(5,7)),o=parseInt(o,16),a=parseInt(a,16),c=parseInt(c,16)),t(o,a,c))}function mt(n,t,e){var r,u,i=Math.min(n/=255,t/=255,e/=255),o=Math.max(n,t,e),a=o-i,c=(o+i)/2;return a?(u=.5>c?a/(o+i):a/(2-o-i),r=n==o?(t-e)/a+(e>t?6:0):t==o?(e-n)/a+2:(n-t)/a+4,r*=60):(r=0/0,u=c>0&&1>c?0:r),K(r,u,c)}function yt(n,t,e){n=xt(n),t=xt(t),e=xt(e);var r=st((.4124564*n+.3575761*t+.1804375*e)/Fa),u=st((.2126729*n+.7151522*t+.072175*e)/Oa),i=st((.0193339*n+.119192*t+.9503041*e)/Ya);return ut(116*u-16,500*(r-u),200*(u-i))}function xt(n){return(n/=255)<=.04045?n/12.92:Math.pow((n+.055)/1.055,2.4)}function Mt(n){var t=parseFloat(n);return"%"===n.charAt(n.length-1)?Math.round(2.55*t):t}function _t(n){return"function"==typeof n?n:function(){return n}}function bt(n){return n}function wt(n){return function(t,e,r){return 2===arguments.length&&"function"==typeof e&&(r=e,e=null),St(t,e,n,r)}}function St(n,t,e,r){function u(){var n,t=c.status;if(!t&&c.responseText||t>=200&&300>t||304===t){try{n=e.call(i,c)}catch(r){return o.error.call(i,r),void 0}o.load.call(i,n)}else o.error.call(i,c)}var i={},o=Xo.dispatch("beforesend","progress","load","error"),a={},c=new XMLHttpRequest,s=null;return!Go.XDomainRequest||"withCredentials"in c||!/^(http(s)?:)?\/\//.test(n)||(c=new XDomainRequest),"onload"in c?c.onload=c.onerror=u:c.onreadystatechange=function(){c.readyState>3&&u()},c.onprogress=function(n){var t=Xo.event;Xo.event=n;try{o.progress.call(i,c)}finally{Xo.event=t}},i.header=function(n,t){return n=(n+"").toLowerCase(),arguments.length<2?a[n]:(null==t?delete a[n]:a[n]=t+"",i)},i.mimeType=function(n){return arguments.length?(t=null==n?null:n+"",i):t},i.responseType=function(n){return arguments.length?(s=n,i):s},i.response=function(n){return e=n,i},["get","post"].forEach(function(n){i[n]=function(){return i.send.apply(i,[n].concat(Bo(arguments)))}}),i.send=function(e,r,u){if(2===arguments.length&&"function"==typeof r&&(u=r,r=null),c.open(e,n,!0),null==t||"accept"in a||(a.accept=t+",*/*"),c.setRequestHeader)for(var l in a)c.setRequestHeader(l,a[l]);return null!=t&&c.overrideMimeType&&c.overrideMimeType(t),null!=s&&(c.responseType=s),null!=u&&i.on("error",u).on("load",function(n){u(null,n)}),o.beforesend.call(i,c),c.send(null==r?null:r),i},i.abort=function(){return c.abort(),i},Xo.rebind(i,o,"on"),null==r?i:i.get(kt(r))}function kt(n){return 1===n.length?function(t,e){n(null==t?e:null)}:n}function Et(){var n=At(),t=Ct()-n;t>24?(isFinite(t)&&(clearTimeout(Wa),Wa=setTimeout(Et,t)),Ba=0):(Ba=1,Ga(Et))}function At(){var n=Date.now();for(Ja=Xa;Ja;)n>=Ja.t&&(Ja.f=Ja.c(n-Ja.t)),Ja=Ja.n;return n}function Ct(){for(var n,t=Xa,e=1/0;t;)t.f?t=n?n.n=t.n:Xa=t.n:(t.t<e&&(e=t.t),t=(n=t).n);return $a=n,e}function Nt(n,t){return t-(n?Math.ceil(Math.log(n)/Math.LN10):1)}function Lt(n,t){var e=Math.pow(10,3*oa(8-t));return{scale:t>8?function(n){return n/e}:function(n){return n*e},symbol:n}}function zt(n){var t=n.decimal,e=n.thousands,r=n.grouping,u=n.currency,i=r?function(n){for(var t=n.length,u=[],i=0,o=r[0];t>0&&o>0;)u.push(n.substring(t-=o,t+o)),o=r[i=(i+1)%r.length];return u.reverse().join(e)}:bt;return function(n){var e=Qa.exec(n),r=e[1]||" ",o=e[2]||">",a=e[3]||"",c=e[4]||"",s=e[5],l=+e[6],f=e[7],h=e[8],g=e[9],p=1,v="",d="",m=!1;switch(h&&(h=+h.substring(1)),(s||"0"===r&&"="===o)&&(s=r="0",o="=",f&&(l-=Math.floor((l-1)/4))),g){case"n":f=!0,g="g";break;case"%":p=100,d="%",g="f";break;case"p":p=100,d="%",g="r";break;case"b":case"o":case"x":case"X":"#"===c&&(v="0"+g.toLowerCase());case"c":case"d":m=!0,h=0;break;case"s":p=-1,g="r"}"$"===c&&(v=u[0],d=u[1]),"r"!=g||h||(g="g"),null!=h&&("g"==g?h=Math.max(1,Math.min(21,h)):("e"==g||"f"==g)&&(h=Math.max(0,Math.min(20,h)))),g=nc.get(g)||qt;var y=s&&f;return function(n){var e=d;if(m&&n%1)return"";var u=0>n||0===n&&0>1/n?(n=-n,"-"):a;if(0>p){var c=Xo.formatPrefix(n,h);n=c.scale(n),e=c.symbol+d}else n*=p;n=g(n,h);var x=n.lastIndexOf("."),M=0>x?n:n.substring(0,x),_=0>x?"":t+n.substring(x+1);!s&&f&&(M=i(M));var b=v.length+M.length+_.length+(y?0:u.length),w=l>b?new Array(b=l-b+1).join(r):"";return y&&(M=i(w+M)),u+=v,n=M+_,("<"===o?u+n+w:">"===o?w+u+n:"^"===o?w.substring(0,b>>=1)+u+n+w.substring(b):u+(y?n:w+n))+e}}}function qt(n){return n+""}function Tt(){this._=new Date(arguments.length>1?Date.UTC.apply(this,arguments):arguments[0])}function Rt(n,t,e){function r(t){var e=n(t),r=i(e,1);return r-t>t-e?e:r}function u(e){return t(e=n(new ec(e-1)),1),e}function i(n,e){return t(n=new ec(+n),e),n}function o(n,r,i){var o=u(n),a=[];if(i>1)for(;r>o;)e(o)%i||a.push(new Date(+o)),t(o,1);else for(;r>o;)a.push(new Date(+o)),t(o,1);return a}function a(n,t,e){try{ec=Tt;var r=new Tt;return r._=n,o(r,t,e)}finally{ec=Date}}n.floor=n,n.round=r,n.ceil=u,n.offset=i,n.range=o;var c=n.utc=Dt(n);return c.floor=c,c.round=Dt(r),c.ceil=Dt(u),c.offset=Dt(i),c.range=a,n}function Dt(n){return function(t,e){try{ec=Tt;var r=new Tt;return r._=t,n(r,e)._}finally{ec=Date}}}function Pt(n){function t(n){function t(t){for(var e,u,i,o=[],a=-1,c=0;++a<r;)37===n.charCodeAt(a)&&(o.push(n.substring(c,a)),null!=(u=uc[e=n.charAt(++a)])&&(e=n.charAt(++a)),(i=C[e])&&(e=i(t,null==u?"e"===e?" ":"0":u)),o.push(e),c=a+1);return o.push(n.substring(c,a)),o.join("")}var r=n.length;return t.parse=function(t){var r={y:1900,m:0,d:1,H:0,M:0,S:0,L:0,Z:null},u=e(r,n,t,0);if(u!=t.length)return null;"p"in r&&(r.H=r.H%12+12*r.p);var i=null!=r.Z&&ec!==Tt,o=new(i?Tt:ec);return"j"in r?o.setFullYear(r.y,0,r.j):"w"in r&&("W"in r||"U"in r)?(o.setFullYear(r.y,0,1),o.setFullYear(r.y,0,"W"in r?(r.w+6)%7+7*r.W-(o.getDay()+5)%7:r.w+7*r.U-(o.getDay()+6)%7)):o.setFullYear(r.y,r.m,r.d),o.setHours(r.H+Math.floor(r.Z/100),r.M+r.Z%100,r.S,r.L),i?o._:o},t.toString=function(){return n},t}function e(n,t,e,r){for(var u,i,o,a=0,c=t.length,s=e.length;c>a;){if(r>=s)return-1;if(u=t.charCodeAt(a++),37===u){if(o=t.charAt(a++),i=N[o in uc?t.charAt(a++):o],!i||(r=i(n,e,r))<0)return-1}else if(u!=e.charCodeAt(r++))return-1}return r}function r(n,t,e){b.lastIndex=0;var r=b.exec(t.substring(e));return r?(n.w=w.get(r[0].toLowerCase()),e+r[0].length):-1}function u(n,t,e){M.lastIndex=0;var r=M.exec(t.substring(e));return r?(n.w=_.get(r[0].toLowerCase()),e+r[0].length):-1}function i(n,t,e){E.lastIndex=0;var r=E.exec(t.substring(e));return r?(n.m=A.get(r[0].toLowerCase()),e+r[0].length):-1}function o(n,t,e){S.lastIndex=0;var r=S.exec(t.substring(e));return r?(n.m=k.get(r[0].toLowerCase()),e+r[0].length):-1}function a(n,t,r){return e(n,C.c.toString(),t,r)}function c(n,t,r){return e(n,C.x.toString(),t,r)}function s(n,t,r){return e(n,C.X.toString(),t,r)}function l(n,t,e){var r=x.get(t.substring(e,e+=2).toLowerCase());return null==r?-1:(n.p=r,e)}var f=n.dateTime,h=n.date,g=n.time,p=n.periods,v=n.days,d=n.shortDays,m=n.months,y=n.shortMonths;t.utc=function(n){function e(n){try{ec=Tt;var t=new ec;return t._=n,r(t)}finally{ec=Date}}var r=t(n);return e.parse=function(n){try{ec=Tt;var t=r.parse(n);return t&&t._}finally{ec=Date}},e.toString=r.toString,e},t.multi=t.utc.multi=ee;var x=Xo.map(),M=jt(v),_=Ht(v),b=jt(d),w=Ht(d),S=jt(m),k=Ht(m),E=jt(y),A=Ht(y);p.forEach(function(n,t){x.set(n.toLowerCase(),t)});var C={a:function(n){return d[n.getDay()]},A:function(n){return v[n.getDay()]},b:function(n){return y[n.getMonth()]},B:function(n){return m[n.getMonth()]},c:t(f),d:function(n,t){return Ut(n.getDate(),t,2)},e:function(n,t){return Ut(n.getDate(),t,2)},H:function(n,t){return Ut(n.getHours(),t,2)},I:function(n,t){return Ut(n.getHours()%12||12,t,2)},j:function(n,t){return Ut(1+tc.dayOfYear(n),t,3)},L:function(n,t){return Ut(n.getMilliseconds(),t,3)},m:function(n,t){return Ut(n.getMonth()+1,t,2)},M:function(n,t){return Ut(n.getMinutes(),t,2)},p:function(n){return p[+(n.getHours()>=12)]},S:function(n,t){return Ut(n.getSeconds(),t,2)},U:function(n,t){return Ut(tc.sundayOfYear(n),t,2)},w:function(n){return n.getDay()},W:function(n,t){return Ut(tc.mondayOfYear(n),t,2)},x:t(h),X:t(g),y:function(n,t){return Ut(n.getFullYear()%100,t,2)},Y:function(n,t){return Ut(n.getFullYear()%1e4,t,4)},Z:ne,"%":function(){return"%"}},N={a:r,A:u,b:i,B:o,c:a,d:Bt,e:Bt,H:Jt,I:Jt,j:Wt,L:Qt,m:$t,M:Gt,p:l,S:Kt,U:Ot,w:Ft,W:Yt,x:c,X:s,y:Zt,Y:It,Z:Vt,"%":te};return t}function Ut(n,t,e){var r=0>n?"-":"",u=(r?-n:n)+"",i=u.length;return r+(e>i?new Array(e-i+1).join(t)+u:u)}function jt(n){return new RegExp("^(?:"+n.map(Xo.requote).join("|")+")","i")}function Ht(n){for(var t=new u,e=-1,r=n.length;++e<r;)t.set(n[e].toLowerCase(),e);return t}function Ft(n,t,e){ic.lastIndex=0;var r=ic.exec(t.substring(e,e+1));return r?(n.w=+r[0],e+r[0].length):-1}function Ot(n,t,e){ic.lastIndex=0;var r=ic.exec(t.substring(e));return r?(n.U=+r[0],e+r[0].length):-1}function Yt(n,t,e){ic.lastIndex=0;var r=ic.exec(t.substring(e));return r?(n.W=+r[0],e+r[0].length):-1}function It(n,t,e){ic.lastIndex=0;var r=ic.exec(t.substring(e,e+4));return r?(n.y=+r[0],e+r[0].length):-1}function Zt(n,t,e){ic.lastIndex=0;var r=ic.exec(t.substring(e,e+2));return r?(n.y=Xt(+r[0]),e+r[0].length):-1}function Vt(n,t,e){return/^[+-]\d{4}$/.test(t=t.substring(e,e+5))?(n.Z=+t,e+5):-1}function Xt(n){return n+(n>68?1900:2e3)}function $t(n,t,e){ic.lastIndex=0;var r=ic.exec(t.substring(e,e+2));return r?(n.m=r[0]-1,e+r[0].length):-1}function Bt(n,t,e){ic.lastIndex=0;var r=ic.exec(t.substring(e,e+2));return r?(n.d=+r[0],e+r[0].length):-1}function Wt(n,t,e){ic.lastIndex=0;var r=ic.exec(t.substring(e,e+3));return r?(n.j=+r[0],e+r[0].length):-1}function Jt(n,t,e){ic.lastIndex=0;var r=ic.exec(t.substring(e,e+2));return r?(n.H=+r[0],e+r[0].length):-1}function Gt(n,t,e){ic.lastIndex=0;var r=ic.exec(t.substring(e,e+2));return r?(n.M=+r[0],e+r[0].length):-1}function Kt(n,t,e){ic.lastIndex=0;var r=ic.exec(t.substring(e,e+2));return r?(n.S=+r[0],e+r[0].length):-1}function Qt(n,t,e){ic.lastIndex=0;var r=ic.exec(t.substring(e,e+3));return r?(n.L=+r[0],e+r[0].length):-1}function ne(n){var t=n.getTimezoneOffset(),e=t>0?"-":"+",r=~~(oa(t)/60),u=oa(t)%60;return e+Ut(r,"0",2)+Ut(u,"0",2)}function te(n,t,e){oc.lastIndex=0;var r=oc.exec(t.substring(e,e+1));return r?e+r[0].length:-1}function ee(n){for(var t=n.length,e=-1;++e<t;)n[e][0]=this(n[e][0]);return function(t){for(var e=0,r=n[e];!r[1](t);)r=n[++e];return r[0](t)}}function re(){}function ue(n,t,e){var r=e.s=n+t,u=r-n,i=r-u;e.t=n-i+(t-u)}function ie(n,t){n&&lc.hasOwnProperty(n.type)&&lc[n.type](n,t)}function oe(n,t,e){var r,u=-1,i=n.length-e;for(t.lineStart();++u<i;)r=n[u],t.point(r[0],r[1],r[2]);t.lineEnd()}function ae(n,t){var e=-1,r=n.length;for(t.polygonStart();++e<r;)oe(n[e],t,1);t.polygonEnd()}function ce(){function n(n,t){n*=Na,t=t*Na/2+Sa/4;var e=n-r,o=e>=0?1:-1,a=o*e,c=Math.cos(t),s=Math.sin(t),l=i*s,f=u*c+l*Math.cos(a),h=l*o*Math.sin(a);hc.add(Math.atan2(h,f)),r=n,u=c,i=s}var t,e,r,u,i;gc.point=function(o,a){gc.point=n,r=(t=o)*Na,u=Math.cos(a=(e=a)*Na/2+Sa/4),i=Math.sin(a)},gc.lineEnd=function(){n(t,e)}}function se(n){var t=n[0],e=n[1],r=Math.cos(e);return[r*Math.cos(t),r*Math.sin(t),Math.sin(e)]}function le(n,t){return n[0]*t[0]+n[1]*t[1]+n[2]*t[2]}function fe(n,t){return[n[1]*t[2]-n[2]*t[1],n[2]*t[0]-n[0]*t[2],n[0]*t[1]-n[1]*t[0]]}function he(n,t){n[0]+=t[0],n[1]+=t[1],n[2]+=t[2]}function ge(n,t){return[n[0]*t,n[1]*t,n[2]*t]}function pe(n){var t=Math.sqrt(n[0]*n[0]+n[1]*n[1]+n[2]*n[2]);n[0]/=t,n[1]/=t,n[2]/=t}function ve(n){return[Math.atan2(n[1],n[0]),X(n[2])]}function de(n,t){return oa(n[0]-t[0])<Aa&&oa(n[1]-t[1])<Aa}function me(n,t){n*=Na;var e=Math.cos(t*=Na);ye(e*Math.cos(n),e*Math.sin(n),Math.sin(t))}function ye(n,t,e){++pc,dc+=(n-dc)/pc,mc+=(t-mc)/pc,yc+=(e-yc)/pc}function xe(){function n(n,u){n*=Na;var i=Math.cos(u*=Na),o=i*Math.cos(n),a=i*Math.sin(n),c=Math.sin(u),s=Math.atan2(Math.sqrt((s=e*c-r*a)*s+(s=r*o-t*c)*s+(s=t*a-e*o)*s),t*o+e*a+r*c);vc+=s,xc+=s*(t+(t=o)),Mc+=s*(e+(e=a)),_c+=s*(r+(r=c)),ye(t,e,r)}var t,e,r;kc.point=function(u,i){u*=Na;var o=Math.cos(i*=Na);t=o*Math.cos(u),e=o*Math.sin(u),r=Math.sin(i),kc.point=n,ye(t,e,r)}}function Me(){kc.point=me}function _e(){function n(n,t){n*=Na;var e=Math.cos(t*=Na),o=e*Math.cos(n),a=e*Math.sin(n),c=Math.sin(t),s=u*c-i*a,l=i*o-r*c,f=r*a-u*o,h=Math.sqrt(s*s+l*l+f*f),g=r*o+u*a+i*c,p=h&&-V(g)/h,v=Math.atan2(h,g);bc+=p*s,wc+=p*l,Sc+=p*f,vc+=v,xc+=v*(r+(r=o)),Mc+=v*(u+(u=a)),_c+=v*(i+(i=c)),ye(r,u,i)}var t,e,r,u,i;kc.point=function(o,a){t=o,e=a,kc.point=n,o*=Na;var c=Math.cos(a*=Na);r=c*Math.cos(o),u=c*Math.sin(o),i=Math.sin(a),ye(r,u,i)},kc.lineEnd=function(){n(t,e),kc.lineEnd=Me,kc.point=me}}function be(){return!0}function we(n,t,e,r,u){var i=[],o=[];if(n.forEach(function(n){if(!((t=n.length-1)<=0)){var t,e=n[0],r=n[t];if(de(e,r)){u.lineStart();for(var a=0;t>a;++a)u.point((e=n[a])[0],e[1]);return u.lineEnd(),void 0}var c=new ke(e,n,null,!0),s=new ke(e,null,c,!1);c.o=s,i.push(c),o.push(s),c=new ke(r,n,null,!1),s=new ke(r,null,c,!0),c.o=s,i.push(c),o.push(s)}}),o.sort(t),Se(i),Se(o),i.length){for(var a=0,c=e,s=o.length;s>a;++a)o[a].e=c=!c;for(var l,f,h=i[0];;){for(var g=h,p=!0;g.v;)if((g=g.n)===h)return;l=g.z,u.lineStart();do{if(g.v=g.o.v=!0,g.e){if(p)for(var a=0,s=l.length;s>a;++a)u.point((f=l[a])[0],f[1]);else r(g.x,g.n.x,1,u);g=g.n}else{if(p){l=g.p.z;for(var a=l.length-1;a>=0;--a)u.point((f=l[a])[0],f[1])}else r(g.x,g.p.x,-1,u);g=g.p}g=g.o,l=g.z,p=!p}while(!g.v);u.lineEnd()}}}function Se(n){if(t=n.length){for(var t,e,r=0,u=n[0];++r<t;)u.n=e=n[r],e.p=u,u=e;u.n=e=n[0],e.p=u}}function ke(n,t,e,r){this.x=n,this.z=t,this.o=e,this.e=r,this.v=!1,this.n=this.p=null}function Ee(n,t,e,r){return function(u,i){function o(t,e){var r=u(t,e);n(t=r[0],e=r[1])&&i.point(t,e)}function a(n,t){var e=u(n,t);d.point(e[0],e[1])}function c(){y.point=a,d.lineStart()}function s(){y.point=o,d.lineEnd()}function l(n,t){v.push([n,t]);var e=u(n,t);M.point(e[0],e[1])}function f(){M.lineStart(),v=[]}function h(){l(v[0][0],v[0][1]),M.lineEnd();var n,t=M.clean(),e=x.buffer(),r=e.length;if(v.pop(),p.push(v),v=null,r){if(1&t){n=e[0];var u,r=n.length-1,o=-1;for(i.lineStart();++o<r;)i.point((u=n[o])[0],u[1]);return i.lineEnd(),void 0}r>1&&2&t&&e.push(e.pop().concat(e.shift())),g.push(e.filter(Ae))}}var g,p,v,d=t(i),m=u.invert(r[0],r[1]),y={point:o,lineStart:c,lineEnd:s,polygonStart:function(){y.point=l,y.lineStart=f,y.lineEnd=h,g=[],p=[],i.polygonStart()},polygonEnd:function(){y.point=o,y.lineStart=c,y.lineEnd=s,g=Xo.merge(g);var n=Le(m,p);g.length?we(g,Ne,n,e,i):n&&(i.lineStart(),e(null,null,1,i),i.lineEnd()),i.polygonEnd(),g=p=null},sphere:function(){i.polygonStart(),i.lineStart(),e(null,null,1,i),i.lineEnd(),i.polygonEnd()}},x=Ce(),M=t(x);return y}}function Ae(n){return n.length>1}function Ce(){var n,t=[];return{lineStart:function(){t.push(n=[])},point:function(t,e){n.push([t,e])},lineEnd:g,buffer:function(){var e=t;return t=[],n=null,e},rejoin:function(){t.length>1&&t.push(t.pop().concat(t.shift()))}}}function Ne(n,t){return((n=n.x)[0]<0?n[1]-Ea-Aa:Ea-n[1])-((t=t.x)[0]<0?t[1]-Ea-Aa:Ea-t[1])}function Le(n,t){var e=n[0],r=n[1],u=[Math.sin(e),-Math.cos(e),0],i=0,o=0;hc.reset();for(var a=0,c=t.length;c>a;++a){var s=t[a],l=s.length;if(l)for(var f=s[0],h=f[0],g=f[1]/2+Sa/4,p=Math.sin(g),v=Math.cos(g),d=1;;){d===l&&(d=0),n=s[d];var m=n[0],y=n[1]/2+Sa/4,x=Math.sin(y),M=Math.cos(y),_=m-h,b=_>=0?1:-1,w=b*_,S=w>Sa,k=p*x;if(hc.add(Math.atan2(k*b*Math.sin(w),v*M+k*Math.cos(w))),i+=S?_+b*ka:_,S^h>=e^m>=e){var E=fe(se(f),se(n));pe(E);var A=fe(u,E);pe(A);var C=(S^_>=0?-1:1)*X(A[2]);(r>C||r===C&&(E[0]||E[1]))&&(o+=S^_>=0?1:-1)}if(!d++)break;h=m,p=x,v=M,f=n}}return(-Aa>i||Aa>i&&0>hc)^1&o}function ze(n){var t,e=0/0,r=0/0,u=0/0;return{lineStart:function(){n.lineStart(),t=1},point:function(i,o){var a=i>0?Sa:-Sa,c=oa(i-e);oa(c-Sa)<Aa?(n.point(e,r=(r+o)/2>0?Ea:-Ea),n.point(u,r),n.lineEnd(),n.lineStart(),n.point(a,r),n.point(i,r),t=0):u!==a&&c>=Sa&&(oa(e-u)<Aa&&(e-=u*Aa),oa(i-a)<Aa&&(i-=a*Aa),r=qe(e,r,i,o),n.point(u,r),n.lineEnd(),n.lineStart(),n.point(a,r),t=0),n.point(e=i,r=o),u=a},lineEnd:function(){n.lineEnd(),e=r=0/0},clean:function(){return 2-t}}}function qe(n,t,e,r){var u,i,o=Math.sin(n-e);return oa(o)>Aa?Math.atan((Math.sin(t)*(i=Math.cos(r))*Math.sin(e)-Math.sin(r)*(u=Math.cos(t))*Math.sin(n))/(u*i*o)):(t+r)/2}function Te(n,t,e,r){var u;if(null==n)u=e*Ea,r.point(-Sa,u),r.point(0,u),r.point(Sa,u),r.point(Sa,0),r.point(Sa,-u),r.point(0,-u),r.point(-Sa,-u),r.point(-Sa,0),r.point(-Sa,u);else if(oa(n[0]-t[0])>Aa){var i=n[0]<t[0]?Sa:-Sa;u=e*i/2,r.point(-i,u),r.point(0,u),r.point(i,u)}else r.point(t[0],t[1])}function Re(n){function t(n,t){return Math.cos(n)*Math.cos(t)>i}function e(n){var e,i,c,s,l;return{lineStart:function(){s=c=!1,l=1},point:function(f,h){var g,p=[f,h],v=t(f,h),d=o?v?0:u(f,h):v?u(f+(0>f?Sa:-Sa),h):0;if(!e&&(s=c=v)&&n.lineStart(),v!==c&&(g=r(e,p),(de(e,g)||de(p,g))&&(p[0]+=Aa,p[1]+=Aa,v=t(p[0],p[1]))),v!==c)l=0,v?(n.lineStart(),g=r(p,e),n.point(g[0],g[1])):(g=r(e,p),n.point(g[0],g[1]),n.lineEnd()),e=g;else if(a&&e&&o^v){var m;d&i||!(m=r(p,e,!0))||(l=0,o?(n.lineStart(),n.point(m[0][0],m[0][1]),n.point(m[1][0],m[1][1]),n.lineEnd()):(n.point(m[1][0],m[1][1]),n.lineEnd(),n.lineStart(),n.point(m[0][0],m[0][1])))}!v||e&&de(e,p)||n.point(p[0],p[1]),e=p,c=v,i=d},lineEnd:function(){c&&n.lineEnd(),e=null},clean:function(){return l|(s&&c)<<1}}}function r(n,t,e){var r=se(n),u=se(t),o=[1,0,0],a=fe(r,u),c=le(a,a),s=a[0],l=c-s*s;if(!l)return!e&&n;var f=i*c/l,h=-i*s/l,g=fe(o,a),p=ge(o,f),v=ge(a,h);he(p,v);var d=g,m=le(p,d),y=le(d,d),x=m*m-y*(le(p,p)-1);if(!(0>x)){var M=Math.sqrt(x),_=ge(d,(-m-M)/y);if(he(_,p),_=ve(_),!e)return _;var b,w=n[0],S=t[0],k=n[1],E=t[1];w>S&&(b=w,w=S,S=b);var A=S-w,C=oa(A-Sa)<Aa,N=C||Aa>A;if(!C&&k>E&&(b=k,k=E,E=b),N?C?k+E>0^_[1]<(oa(_[0]-w)<Aa?k:E):k<=_[1]&&_[1]<=E:A>Sa^(w<=_[0]&&_[0]<=S)){var L=ge(d,(-m+M)/y);return he(L,p),[_,ve(L)]}}}function u(t,e){var r=o?n:Sa-n,u=0;return-r>t?u|=1:t>r&&(u|=2),-r>e?u|=4:e>r&&(u|=8),u}var i=Math.cos(n),o=i>0,a=oa(i)>Aa,c=cr(n,6*Na);return Ee(t,e,c,o?[0,-n]:[-Sa,n-Sa])}function De(n,t,e,r){return function(u){var i,o=u.a,a=u.b,c=o.x,s=o.y,l=a.x,f=a.y,h=0,g=1,p=l-c,v=f-s;if(i=n-c,p||!(i>0)){if(i/=p,0>p){if(h>i)return;g>i&&(g=i)}else if(p>0){if(i>g)return;i>h&&(h=i)}if(i=e-c,p||!(0>i)){if(i/=p,0>p){if(i>g)return;i>h&&(h=i)}else if(p>0){if(h>i)return;g>i&&(g=i)}if(i=t-s,v||!(i>0)){if(i/=v,0>v){if(h>i)return;g>i&&(g=i)}else if(v>0){if(i>g)return;i>h&&(h=i)}if(i=r-s,v||!(0>i)){if(i/=v,0>v){if(i>g)return;i>h&&(h=i)}else if(v>0){if(h>i)return;g>i&&(g=i)}return h>0&&(u.a={x:c+h*p,y:s+h*v}),1>g&&(u.b={x:c+g*p,y:s+g*v}),u}}}}}}function Pe(n,t,e,r){function u(r,u){return oa(r[0]-n)<Aa?u>0?0:3:oa(r[0]-e)<Aa?u>0?2:1:oa(r[1]-t)<Aa?u>0?1:0:u>0?3:2}function i(n,t){return o(n.x,t.x)}function o(n,t){var e=u(n,1),r=u(t,1);return e!==r?e-r:0===e?t[1]-n[1]:1===e?n[0]-t[0]:2===e?n[1]-t[1]:t[0]-n[0]}return function(a){function c(n){for(var t=0,e=d.length,r=n[1],u=0;e>u;++u)for(var i,o=1,a=d[u],c=a.length,s=a[0];c>o;++o)i=a[o],s[1]<=r?i[1]>r&&Z(s,i,n)>0&&++t:i[1]<=r&&Z(s,i,n)<0&&--t,s=i;return 0!==t}function s(i,a,c,s){var l=0,f=0;if(null==i||(l=u(i,c))!==(f=u(a,c))||o(i,a)<0^c>0){do s.point(0===l||3===l?n:e,l>1?r:t);while((l=(l+c+4)%4)!==f)}else s.point(a[0],a[1])}function l(u,i){return u>=n&&e>=u&&i>=t&&r>=i}function f(n,t){l(n,t)&&a.point(n,t)}function h(){N.point=p,d&&d.push(m=[]),S=!0,w=!1,_=b=0/0}function g(){v&&(p(y,x),M&&w&&A.rejoin(),v.push(A.buffer())),N.point=f,w&&a.lineEnd()}function p(n,t){n=Math.max(-Ac,Math.min(Ac,n)),t=Math.max(-Ac,Math.min(Ac,t));var e=l(n,t);if(d&&m.push([n,t]),S)y=n,x=t,M=e,S=!1,e&&(a.lineStart(),a.point(n,t));else if(e&&w)a.point(n,t);else{var r={a:{x:_,y:b},b:{x:n,y:t}};C(r)?(w||(a.lineStart(),a.point(r.a.x,r.a.y)),a.point(r.b.x,r.b.y),e||a.lineEnd(),k=!1):e&&(a.lineStart(),a.point(n,t),k=!1)}_=n,b=t,w=e}var v,d,m,y,x,M,_,b,w,S,k,E=a,A=Ce(),C=De(n,t,e,r),N={point:f,lineStart:h,lineEnd:g,polygonStart:function(){a=A,v=[],d=[],k=!0},polygonEnd:function(){a=E,v=Xo.merge(v);var t=c([n,r]),e=k&&t,u=v.length;(e||u)&&(a.polygonStart(),e&&(a.lineStart(),s(null,null,1,a),a.lineEnd()),u&&we(v,i,t,s,a),a.polygonEnd()),v=d=m=null}};return N}}function Ue(n,t){function e(e,r){return e=n(e,r),t(e[0],e[1])}return n.invert&&t.invert&&(e.invert=function(e,r){return e=t.invert(e,r),e&&n.invert(e[0],e[1])}),e}function je(n){var t=0,e=Sa/3,r=nr(n),u=r(t,e);return u.parallels=function(n){return arguments.length?r(t=n[0]*Sa/180,e=n[1]*Sa/180):[180*(t/Sa),180*(e/Sa)]},u}function He(n,t){function e(n,t){var e=Math.sqrt(i-2*u*Math.sin(t))/u;return[e*Math.sin(n*=u),o-e*Math.cos(n)]}var r=Math.sin(n),u=(r+Math.sin(t))/2,i=1+r*(2*u-r),o=Math.sqrt(i)/u;return e.invert=function(n,t){var e=o-t;return[Math.atan2(n,e)/u,X((i-(n*n+e*e)*u*u)/(2*u))]},e}function Fe(){function n(n,t){Nc+=u*n-r*t,r=n,u=t}var t,e,r,u;Rc.point=function(i,o){Rc.point=n,t=r=i,e=u=o},Rc.lineEnd=function(){n(t,e)}}function Oe(n,t){Lc>n&&(Lc=n),n>qc&&(qc=n),zc>t&&(zc=t),t>Tc&&(Tc=t)}function Ye(){function n(n,t){o.push("M",n,",",t,i)}function t(n,t){o.push("M",n,",",t),a.point=e}function e(n,t){o.push("L",n,",",t)}function r(){a.point=n}function u(){o.push("Z")}var i=Ie(4.5),o=[],a={point:n,lineStart:function(){a.point=t},lineEnd:r,polygonStart:function(){a.lineEnd=u},polygonEnd:function(){a.lineEnd=r,a.point=n},pointRadius:function(n){return i=Ie(n),a},result:function(){if(o.length){var n=o.join("");return o=[],n}}};return a}function Ie(n){return"m0,"+n+"a"+n+","+n+" 0 1,1 0,"+-2*n+"a"+n+","+n+" 0 1,1 0,"+2*n+"z"}function Ze(n,t){dc+=n,mc+=t,++yc}function Ve(){function n(n,r){var u=n-t,i=r-e,o=Math.sqrt(u*u+i*i);xc+=o*(t+n)/2,Mc+=o*(e+r)/2,_c+=o,Ze(t=n,e=r)}var t,e;Pc.point=function(r,u){Pc.point=n,Ze(t=r,e=u)}}function Xe(){Pc.point=Ze}function $e(){function n(n,t){var e=n-r,i=t-u,o=Math.sqrt(e*e+i*i);xc+=o*(r+n)/2,Mc+=o*(u+t)/2,_c+=o,o=u*n-r*t,bc+=o*(r+n),wc+=o*(u+t),Sc+=3*o,Ze(r=n,u=t)}var t,e,r,u;Pc.point=function(i,o){Pc.point=n,Ze(t=r=i,e=u=o)},Pc.lineEnd=function(){n(t,e)}}function Be(n){function t(t,e){n.moveTo(t,e),n.arc(t,e,o,0,ka)}function e(t,e){n.moveTo(t,e),a.point=r}function r(t,e){n.lineTo(t,e)}function u(){a.point=t}function i(){n.closePath()}var o=4.5,a={point:t,lineStart:function(){a.point=e},lineEnd:u,polygonStart:function(){a.lineEnd=i},polygonEnd:function(){a.lineEnd=u,a.point=t},pointRadius:function(n){return o=n,a},result:g};return a}function We(n){function t(n){return(a?r:e)(n)}function e(t){return Ke(t,function(e,r){e=n(e,r),t.point(e[0],e[1])})}function r(t){function e(e,r){e=n(e,r),t.point(e[0],e[1])}function r(){x=0/0,S.point=i,t.lineStart()}function i(e,r){var i=se([e,r]),o=n(e,r);u(x,M,y,_,b,w,x=o[0],M=o[1],y=e,_=i[0],b=i[1],w=i[2],a,t),t.point(x,M)}function o(){S.point=e,t.lineEnd()}function c(){r(),S.point=s,S.lineEnd=l}function s(n,t){i(f=n,h=t),g=x,p=M,v=_,d=b,m=w,S.point=i}function l(){u(x,M,y,_,b,w,g,p,f,v,d,m,a,t),S.lineEnd=o,o()}var f,h,g,p,v,d,m,y,x,M,_,b,w,S={point:e,lineStart:r,lineEnd:o,polygonStart:function(){t.polygonStart(),S.lineStart=c},polygonEnd:function(){t.polygonEnd(),S.lineStart=r}};return S}function u(t,e,r,a,c,s,l,f,h,g,p,v,d,m){var y=l-t,x=f-e,M=y*y+x*x;if(M>4*i&&d--){var _=a+g,b=c+p,w=s+v,S=Math.sqrt(_*_+b*b+w*w),k=Math.asin(w/=S),E=oa(oa(w)-1)<Aa||oa(r-h)<Aa?(r+h)/2:Math.atan2(b,_),A=n(E,k),C=A[0],N=A[1],L=C-t,z=N-e,q=x*L-y*z;(q*q/M>i||oa((y*L+x*z)/M-.5)>.3||o>a*g+c*p+s*v)&&(u(t,e,r,a,c,s,C,N,E,_/=S,b/=S,w,d,m),m.point(C,N),u(C,N,E,_,b,w,l,f,h,g,p,v,d,m))}}var i=.5,o=Math.cos(30*Na),a=16;return t.precision=function(n){return arguments.length?(a=(i=n*n)>0&&16,t):Math.sqrt(i)},t}function Je(n){var t=We(function(t,e){return n([t*La,e*La])});return function(n){return tr(t(n))}}function Ge(n){this.stream=n}function Ke(n,t){return{point:t,sphere:function(){n.sphere()},lineStart:function(){n.lineStart()},lineEnd:function(){n.lineEnd()},polygonStart:function(){n.polygonStart()},polygonEnd:function(){n.polygonEnd()}}}function Qe(n){return nr(function(){return n})()}function nr(n){function t(n){return n=a(n[0]*Na,n[1]*Na),[n[0]*h+c,s-n[1]*h]}function e(n){return n=a.invert((n[0]-c)/h,(s-n[1])/h),n&&[n[0]*La,n[1]*La]}function r(){a=Ue(o=ur(m,y,x),i);var n=i(v,d);return c=g-n[0]*h,s=p+n[1]*h,u()}function u(){return l&&(l.valid=!1,l=null),t}var i,o,a,c,s,l,f=We(function(n,t){return n=i(n,t),[n[0]*h+c,s-n[1]*h]}),h=150,g=480,p=250,v=0,d=0,m=0,y=0,x=0,M=Ec,_=bt,b=null,w=null;return t.stream=function(n){return l&&(l.valid=!1),l=tr(M(o,f(_(n)))),l.valid=!0,l
},t.clipAngle=function(n){return arguments.length?(M=null==n?(b=n,Ec):Re((b=+n)*Na),u()):b},t.clipExtent=function(n){return arguments.length?(w=n,_=n?Pe(n[0][0],n[0][1],n[1][0],n[1][1]):bt,u()):w},t.scale=function(n){return arguments.length?(h=+n,r()):h},t.translate=function(n){return arguments.length?(g=+n[0],p=+n[1],r()):[g,p]},t.center=function(n){return arguments.length?(v=n[0]%360*Na,d=n[1]%360*Na,r()):[v*La,d*La]},t.rotate=function(n){return arguments.length?(m=n[0]%360*Na,y=n[1]%360*Na,x=n.length>2?n[2]%360*Na:0,r()):[m*La,y*La,x*La]},Xo.rebind(t,f,"precision"),function(){return i=n.apply(this,arguments),t.invert=i.invert&&e,r()}}function tr(n){return Ke(n,function(t,e){n.point(t*Na,e*Na)})}function er(n,t){return[n,t]}function rr(n,t){return[n>Sa?n-ka:-Sa>n?n+ka:n,t]}function ur(n,t,e){return n?t||e?Ue(or(n),ar(t,e)):or(n):t||e?ar(t,e):rr}function ir(n){return function(t,e){return t+=n,[t>Sa?t-ka:-Sa>t?t+ka:t,e]}}function or(n){var t=ir(n);return t.invert=ir(-n),t}function ar(n,t){function e(n,t){var e=Math.cos(t),a=Math.cos(n)*e,c=Math.sin(n)*e,s=Math.sin(t),l=s*r+a*u;return[Math.atan2(c*i-l*o,a*r-s*u),X(l*i+c*o)]}var r=Math.cos(n),u=Math.sin(n),i=Math.cos(t),o=Math.sin(t);return e.invert=function(n,t){var e=Math.cos(t),a=Math.cos(n)*e,c=Math.sin(n)*e,s=Math.sin(t),l=s*i-c*o;return[Math.atan2(c*i+s*o,a*r+l*u),X(l*r-a*u)]},e}function cr(n,t){var e=Math.cos(n),r=Math.sin(n);return function(u,i,o,a){var c=o*t;null!=u?(u=sr(e,u),i=sr(e,i),(o>0?i>u:u>i)&&(u+=o*ka)):(u=n+o*ka,i=n-.5*c);for(var s,l=u;o>0?l>i:i>l;l-=c)a.point((s=ve([e,-r*Math.cos(l),-r*Math.sin(l)]))[0],s[1])}}function sr(n,t){var e=se(t);e[0]-=n,pe(e);var r=V(-e[1]);return((-e[2]<0?-r:r)+2*Math.PI-Aa)%(2*Math.PI)}function lr(n,t,e){var r=Xo.range(n,t-Aa,e).concat(t);return function(n){return r.map(function(t){return[n,t]})}}function fr(n,t,e){var r=Xo.range(n,t-Aa,e).concat(t);return function(n){return r.map(function(t){return[t,n]})}}function hr(n){return n.source}function gr(n){return n.target}function pr(n,t,e,r){var u=Math.cos(t),i=Math.sin(t),o=Math.cos(r),a=Math.sin(r),c=u*Math.cos(n),s=u*Math.sin(n),l=o*Math.cos(e),f=o*Math.sin(e),h=2*Math.asin(Math.sqrt(J(r-t)+u*o*J(e-n))),g=1/Math.sin(h),p=h?function(n){var t=Math.sin(n*=h)*g,e=Math.sin(h-n)*g,r=e*c+t*l,u=e*s+t*f,o=e*i+t*a;return[Math.atan2(u,r)*La,Math.atan2(o,Math.sqrt(r*r+u*u))*La]}:function(){return[n*La,t*La]};return p.distance=h,p}function vr(){function n(n,u){var i=Math.sin(u*=Na),o=Math.cos(u),a=oa((n*=Na)-t),c=Math.cos(a);Uc+=Math.atan2(Math.sqrt((a=o*Math.sin(a))*a+(a=r*i-e*o*c)*a),e*i+r*o*c),t=n,e=i,r=o}var t,e,r;jc.point=function(u,i){t=u*Na,e=Math.sin(i*=Na),r=Math.cos(i),jc.point=n},jc.lineEnd=function(){jc.point=jc.lineEnd=g}}function dr(n,t){function e(t,e){var r=Math.cos(t),u=Math.cos(e),i=n(r*u);return[i*u*Math.sin(t),i*Math.sin(e)]}return e.invert=function(n,e){var r=Math.sqrt(n*n+e*e),u=t(r),i=Math.sin(u),o=Math.cos(u);return[Math.atan2(n*i,r*o),Math.asin(r&&e*i/r)]},e}function mr(n,t){function e(n,t){var e=oa(oa(t)-Ea)<Aa?0:o/Math.pow(u(t),i);return[e*Math.sin(i*n),o-e*Math.cos(i*n)]}var r=Math.cos(n),u=function(n){return Math.tan(Sa/4+n/2)},i=n===t?Math.sin(n):Math.log(r/Math.cos(t))/Math.log(u(t)/u(n)),o=r*Math.pow(u(n),i)/i;return i?(e.invert=function(n,t){var e=o-t,r=I(i)*Math.sqrt(n*n+e*e);return[Math.atan2(n,e)/i,2*Math.atan(Math.pow(o/r,1/i))-Ea]},e):xr}function yr(n,t){function e(n,t){var e=i-t;return[e*Math.sin(u*n),i-e*Math.cos(u*n)]}var r=Math.cos(n),u=n===t?Math.sin(n):(r-Math.cos(t))/(t-n),i=r/u+n;return oa(u)<Aa?er:(e.invert=function(n,t){var e=i-t;return[Math.atan2(n,e)/u,i-I(u)*Math.sqrt(n*n+e*e)]},e)}function xr(n,t){return[n,Math.log(Math.tan(Sa/4+t/2))]}function Mr(n){var t,e=Qe(n),r=e.scale,u=e.translate,i=e.clipExtent;return e.scale=function(){var n=r.apply(e,arguments);return n===e?t?e.clipExtent(null):e:n},e.translate=function(){var n=u.apply(e,arguments);return n===e?t?e.clipExtent(null):e:n},e.clipExtent=function(n){var o=i.apply(e,arguments);if(o===e){if(t=null==n){var a=Sa*r(),c=u();i([[c[0]-a,c[1]-a],[c[0]+a,c[1]+a]])}}else t&&(o=null);return o},e.clipExtent(null)}function _r(n,t){return[Math.log(Math.tan(Sa/4+t/2)),-n]}function br(n){return n[0]}function wr(n){return n[1]}function Sr(n){for(var t=n.length,e=[0,1],r=2,u=2;t>u;u++){for(;r>1&&Z(n[e[r-2]],n[e[r-1]],n[u])<=0;)--r;e[r++]=u}return e.slice(0,r)}function kr(n,t){return n[0]-t[0]||n[1]-t[1]}function Er(n,t,e){return(e[0]-t[0])*(n[1]-t[1])<(e[1]-t[1])*(n[0]-t[0])}function Ar(n,t,e,r){var u=n[0],i=e[0],o=t[0]-u,a=r[0]-i,c=n[1],s=e[1],l=t[1]-c,f=r[1]-s,h=(a*(c-s)-f*(u-i))/(f*o-a*l);return[u+h*o,c+h*l]}function Cr(n){var t=n[0],e=n[n.length-1];return!(t[0]-e[0]||t[1]-e[1])}function Nr(){Jr(this),this.edge=this.site=this.circle=null}function Lr(n){var t=Jc.pop()||new Nr;return t.site=n,t}function zr(n){Or(n),$c.remove(n),Jc.push(n),Jr(n)}function qr(n){var t=n.circle,e=t.x,r=t.cy,u={x:e,y:r},i=n.P,o=n.N,a=[n];zr(n);for(var c=i;c.circle&&oa(e-c.circle.x)<Aa&&oa(r-c.circle.cy)<Aa;)i=c.P,a.unshift(c),zr(c),c=i;a.unshift(c),Or(c);for(var s=o;s.circle&&oa(e-s.circle.x)<Aa&&oa(r-s.circle.cy)<Aa;)o=s.N,a.push(s),zr(s),s=o;a.push(s),Or(s);var l,f=a.length;for(l=1;f>l;++l)s=a[l],c=a[l-1],$r(s.edge,c.site,s.site,u);c=a[0],s=a[f-1],s.edge=Vr(c.site,s.site,null,u),Fr(c),Fr(s)}function Tr(n){for(var t,e,r,u,i=n.x,o=n.y,a=$c._;a;)if(r=Rr(a,o)-i,r>Aa)a=a.L;else{if(u=i-Dr(a,o),!(u>Aa)){r>-Aa?(t=a.P,e=a):u>-Aa?(t=a,e=a.N):t=e=a;break}if(!a.R){t=a;break}a=a.R}var c=Lr(n);if($c.insert(t,c),t||e){if(t===e)return Or(t),e=Lr(t.site),$c.insert(c,e),c.edge=e.edge=Vr(t.site,c.site),Fr(t),Fr(e),void 0;if(!e)return c.edge=Vr(t.site,c.site),void 0;Or(t),Or(e);var s=t.site,l=s.x,f=s.y,h=n.x-l,g=n.y-f,p=e.site,v=p.x-l,d=p.y-f,m=2*(h*d-g*v),y=h*h+g*g,x=v*v+d*d,M={x:(d*y-g*x)/m+l,y:(h*x-v*y)/m+f};$r(e.edge,s,p,M),c.edge=Vr(s,n,null,M),e.edge=Vr(n,p,null,M),Fr(t),Fr(e)}}function Rr(n,t){var e=n.site,r=e.x,u=e.y,i=u-t;if(!i)return r;var o=n.P;if(!o)return-1/0;e=o.site;var a=e.x,c=e.y,s=c-t;if(!s)return a;var l=a-r,f=1/i-1/s,h=l/s;return f?(-h+Math.sqrt(h*h-2*f*(l*l/(-2*s)-c+s/2+u-i/2)))/f+r:(r+a)/2}function Dr(n,t){var e=n.N;if(e)return Rr(e,t);var r=n.site;return r.y===t?r.x:1/0}function Pr(n){this.site=n,this.edges=[]}function Ur(n){for(var t,e,r,u,i,o,a,c,s,l,f=n[0][0],h=n[1][0],g=n[0][1],p=n[1][1],v=Xc,d=v.length;d--;)if(i=v[d],i&&i.prepare())for(a=i.edges,c=a.length,o=0;c>o;)l=a[o].end(),r=l.x,u=l.y,s=a[++o%c].start(),t=s.x,e=s.y,(oa(r-t)>Aa||oa(u-e)>Aa)&&(a.splice(o,0,new Br(Xr(i.site,l,oa(r-f)<Aa&&p-u>Aa?{x:f,y:oa(t-f)<Aa?e:p}:oa(u-p)<Aa&&h-r>Aa?{x:oa(e-p)<Aa?t:h,y:p}:oa(r-h)<Aa&&u-g>Aa?{x:h,y:oa(t-h)<Aa?e:g}:oa(u-g)<Aa&&r-f>Aa?{x:oa(e-g)<Aa?t:f,y:g}:null),i.site,null)),++c)}function jr(n,t){return t.angle-n.angle}function Hr(){Jr(this),this.x=this.y=this.arc=this.site=this.cy=null}function Fr(n){var t=n.P,e=n.N;if(t&&e){var r=t.site,u=n.site,i=e.site;if(r!==i){var o=u.x,a=u.y,c=r.x-o,s=r.y-a,l=i.x-o,f=i.y-a,h=2*(c*f-s*l);if(!(h>=-Ca)){var g=c*c+s*s,p=l*l+f*f,v=(f*g-s*p)/h,d=(c*p-l*g)/h,f=d+a,m=Gc.pop()||new Hr;m.arc=n,m.site=u,m.x=v+o,m.y=f+Math.sqrt(v*v+d*d),m.cy=f,n.circle=m;for(var y=null,x=Wc._;x;)if(m.y<x.y||m.y===x.y&&m.x<=x.x){if(!x.L){y=x.P;break}x=x.L}else{if(!x.R){y=x;break}x=x.R}Wc.insert(y,m),y||(Bc=m)}}}}function Or(n){var t=n.circle;t&&(t.P||(Bc=t.N),Wc.remove(t),Gc.push(t),Jr(t),n.circle=null)}function Yr(n){for(var t,e=Vc,r=De(n[0][0],n[0][1],n[1][0],n[1][1]),u=e.length;u--;)t=e[u],(!Ir(t,n)||!r(t)||oa(t.a.x-t.b.x)<Aa&&oa(t.a.y-t.b.y)<Aa)&&(t.a=t.b=null,e.splice(u,1))}function Ir(n,t){var e=n.b;if(e)return!0;var r,u,i=n.a,o=t[0][0],a=t[1][0],c=t[0][1],s=t[1][1],l=n.l,f=n.r,h=l.x,g=l.y,p=f.x,v=f.y,d=(h+p)/2,m=(g+v)/2;if(v===g){if(o>d||d>=a)return;if(h>p){if(i){if(i.y>=s)return}else i={x:d,y:c};e={x:d,y:s}}else{if(i){if(i.y<c)return}else i={x:d,y:s};e={x:d,y:c}}}else if(r=(h-p)/(v-g),u=m-r*d,-1>r||r>1)if(h>p){if(i){if(i.y>=s)return}else i={x:(c-u)/r,y:c};e={x:(s-u)/r,y:s}}else{if(i){if(i.y<c)return}else i={x:(s-u)/r,y:s};e={x:(c-u)/r,y:c}}else if(v>g){if(i){if(i.x>=a)return}else i={x:o,y:r*o+u};e={x:a,y:r*a+u}}else{if(i){if(i.x<o)return}else i={x:a,y:r*a+u};e={x:o,y:r*o+u}}return n.a=i,n.b=e,!0}function Zr(n,t){this.l=n,this.r=t,this.a=this.b=null}function Vr(n,t,e,r){var u=new Zr(n,t);return Vc.push(u),e&&$r(u,n,t,e),r&&$r(u,t,n,r),Xc[n.i].edges.push(new Br(u,n,t)),Xc[t.i].edges.push(new Br(u,t,n)),u}function Xr(n,t,e){var r=new Zr(n,null);return r.a=t,r.b=e,Vc.push(r),r}function $r(n,t,e,r){n.a||n.b?n.l===e?n.b=r:n.a=r:(n.a=r,n.l=t,n.r=e)}function Br(n,t,e){var r=n.a,u=n.b;this.edge=n,this.site=t,this.angle=e?Math.atan2(e.y-t.y,e.x-t.x):n.l===t?Math.atan2(u.x-r.x,r.y-u.y):Math.atan2(r.x-u.x,u.y-r.y)}function Wr(){this._=null}function Jr(n){n.U=n.C=n.L=n.R=n.P=n.N=null}function Gr(n,t){var e=t,r=t.R,u=e.U;u?u.L===e?u.L=r:u.R=r:n._=r,r.U=u,e.U=r,e.R=r.L,e.R&&(e.R.U=e),r.L=e}function Kr(n,t){var e=t,r=t.L,u=e.U;u?u.L===e?u.L=r:u.R=r:n._=r,r.U=u,e.U=r,e.L=r.R,e.L&&(e.L.U=e),r.R=e}function Qr(n){for(;n.L;)n=n.L;return n}function nu(n,t){var e,r,u,i=n.sort(tu).pop();for(Vc=[],Xc=new Array(n.length),$c=new Wr,Wc=new Wr;;)if(u=Bc,i&&(!u||i.y<u.y||i.y===u.y&&i.x<u.x))(i.x!==e||i.y!==r)&&(Xc[i.i]=new Pr(i),Tr(i),e=i.x,r=i.y),i=n.pop();else{if(!u)break;qr(u.arc)}t&&(Yr(t),Ur(t));var o={cells:Xc,edges:Vc};return $c=Wc=Vc=Xc=null,o}function tu(n,t){return t.y-n.y||t.x-n.x}function eu(n,t,e){return(n.x-e.x)*(t.y-n.y)-(n.x-t.x)*(e.y-n.y)}function ru(n){return n.x}function uu(n){return n.y}function iu(){return{leaf:!0,nodes:[],point:null,x:null,y:null}}function ou(n,t,e,r,u,i){if(!n(t,e,r,u,i)){var o=.5*(e+u),a=.5*(r+i),c=t.nodes;c[0]&&ou(n,c[0],e,r,o,a),c[1]&&ou(n,c[1],o,r,u,a),c[2]&&ou(n,c[2],e,a,o,i),c[3]&&ou(n,c[3],o,a,u,i)}}function au(n,t){n=Xo.rgb(n),t=Xo.rgb(t);var e=n.r,r=n.g,u=n.b,i=t.r-e,o=t.g-r,a=t.b-u;return function(n){return"#"+vt(Math.round(e+i*n))+vt(Math.round(r+o*n))+vt(Math.round(u+a*n))}}function cu(n,t){var e,r={},u={};for(e in n)e in t?r[e]=fu(n[e],t[e]):u[e]=n[e];for(e in t)e in n||(u[e]=t[e]);return function(n){for(e in r)u[e]=r[e](n);return u}}function su(n,t){return t-=n=+n,function(e){return n+t*e}}function lu(n,t){var e,r,u,i,o,a=0,c=0,s=[],l=[];for(n+="",t+="",Qc.lastIndex=0,r=0;e=Qc.exec(t);++r)e.index&&s.push(t.substring(a,c=e.index)),l.push({i:s.length,x:e[0]}),s.push(null),a=Qc.lastIndex;for(a<t.length&&s.push(t.substring(a)),r=0,i=l.length;(e=Qc.exec(n))&&i>r;++r)if(o=l[r],o.x==e[0]){if(o.i)if(null==s[o.i+1])for(s[o.i-1]+=o.x,s.splice(o.i,1),u=r+1;i>u;++u)l[u].i--;else for(s[o.i-1]+=o.x+s[o.i+1],s.splice(o.i,2),u=r+1;i>u;++u)l[u].i-=2;else if(null==s[o.i+1])s[o.i]=o.x;else for(s[o.i]=o.x+s[o.i+1],s.splice(o.i+1,1),u=r+1;i>u;++u)l[u].i--;l.splice(r,1),i--,r--}else o.x=su(parseFloat(e[0]),parseFloat(o.x));for(;i>r;)o=l.pop(),null==s[o.i+1]?s[o.i]=o.x:(s[o.i]=o.x+s[o.i+1],s.splice(o.i+1,1)),i--;return 1===s.length?null==s[0]?(o=l[0].x,function(n){return o(n)+""}):function(){return t}:function(n){for(r=0;i>r;++r)s[(o=l[r]).i]=o.x(n);return s.join("")}}function fu(n,t){for(var e,r=Xo.interpolators.length;--r>=0&&!(e=Xo.interpolators[r](n,t)););return e}function hu(n,t){var e,r=[],u=[],i=n.length,o=t.length,a=Math.min(n.length,t.length);for(e=0;a>e;++e)r.push(fu(n[e],t[e]));for(;i>e;++e)u[e]=n[e];for(;o>e;++e)u[e]=t[e];return function(n){for(e=0;a>e;++e)u[e]=r[e](n);return u}}function gu(n){return function(t){return 0>=t?0:t>=1?1:n(t)}}function pu(n){return function(t){return 1-n(1-t)}}function vu(n){return function(t){return.5*(.5>t?n(2*t):2-n(2-2*t))}}function du(n){return n*n}function mu(n){return n*n*n}function yu(n){if(0>=n)return 0;if(n>=1)return 1;var t=n*n,e=t*n;return 4*(.5>n?e:3*(n-t)+e-.75)}function xu(n){return function(t){return Math.pow(t,n)}}function Mu(n){return 1-Math.cos(n*Ea)}function _u(n){return Math.pow(2,10*(n-1))}function bu(n){return 1-Math.sqrt(1-n*n)}function wu(n,t){var e;return arguments.length<2&&(t=.45),arguments.length?e=t/ka*Math.asin(1/n):(n=1,e=t/4),function(r){return 1+n*Math.pow(2,-10*r)*Math.sin((r-e)*ka/t)}}function Su(n){return n||(n=1.70158),function(t){return t*t*((n+1)*t-n)}}function ku(n){return 1/2.75>n?7.5625*n*n:2/2.75>n?7.5625*(n-=1.5/2.75)*n+.75:2.5/2.75>n?7.5625*(n-=2.25/2.75)*n+.9375:7.5625*(n-=2.625/2.75)*n+.984375}function Eu(n,t){n=Xo.hcl(n),t=Xo.hcl(t);var e=n.h,r=n.c,u=n.l,i=t.h-e,o=t.c-r,a=t.l-u;return isNaN(o)&&(o=0,r=isNaN(r)?t.c:r),isNaN(i)?(i=0,e=isNaN(e)?t.h:e):i>180?i-=360:-180>i&&(i+=360),function(n){return rt(e+i*n,r+o*n,u+a*n)+""}}function Au(n,t){n=Xo.hsl(n),t=Xo.hsl(t);var e=n.h,r=n.s,u=n.l,i=t.h-e,o=t.s-r,a=t.l-u;return isNaN(o)&&(o=0,r=isNaN(r)?t.s:r),isNaN(i)?(i=0,e=isNaN(e)?t.h:e):i>180?i-=360:-180>i&&(i+=360),function(n){return nt(e+i*n,r+o*n,u+a*n)+""}}function Cu(n,t){n=Xo.lab(n),t=Xo.lab(t);var e=n.l,r=n.a,u=n.b,i=t.l-e,o=t.a-r,a=t.b-u;return function(n){return ot(e+i*n,r+o*n,u+a*n)+""}}function Nu(n,t){return t-=n,function(e){return Math.round(n+t*e)}}function Lu(n){var t=[n.a,n.b],e=[n.c,n.d],r=qu(t),u=zu(t,e),i=qu(Tu(e,t,-u))||0;t[0]*e[1]<e[0]*t[1]&&(t[0]*=-1,t[1]*=-1,r*=-1,u*=-1),this.rotate=(r?Math.atan2(t[1],t[0]):Math.atan2(-e[0],e[1]))*La,this.translate=[n.e,n.f],this.scale=[r,i],this.skew=i?Math.atan2(u,i)*La:0}function zu(n,t){return n[0]*t[0]+n[1]*t[1]}function qu(n){var t=Math.sqrt(zu(n,n));return t&&(n[0]/=t,n[1]/=t),t}function Tu(n,t,e){return n[0]+=e*t[0],n[1]+=e*t[1],n}function Ru(n,t){var e,r=[],u=[],i=Xo.transform(n),o=Xo.transform(t),a=i.translate,c=o.translate,s=i.rotate,l=o.rotate,f=i.skew,h=o.skew,g=i.scale,p=o.scale;return a[0]!=c[0]||a[1]!=c[1]?(r.push("translate(",null,",",null,")"),u.push({i:1,x:su(a[0],c[0])},{i:3,x:su(a[1],c[1])})):c[0]||c[1]?r.push("translate("+c+")"):r.push(""),s!=l?(s-l>180?l+=360:l-s>180&&(s+=360),u.push({i:r.push(r.pop()+"rotate(",null,")")-2,x:su(s,l)})):l&&r.push(r.pop()+"rotate("+l+")"),f!=h?u.push({i:r.push(r.pop()+"skewX(",null,")")-2,x:su(f,h)}):h&&r.push(r.pop()+"skewX("+h+")"),g[0]!=p[0]||g[1]!=p[1]?(e=r.push(r.pop()+"scale(",null,",",null,")"),u.push({i:e-4,x:su(g[0],p[0])},{i:e-2,x:su(g[1],p[1])})):(1!=p[0]||1!=p[1])&&r.push(r.pop()+"scale("+p+")"),e=u.length,function(n){for(var t,i=-1;++i<e;)r[(t=u[i]).i]=t.x(n);return r.join("")}}function Du(n,t){return t=t-(n=+n)?1/(t-n):0,function(e){return(e-n)*t}}function Pu(n,t){return t=t-(n=+n)?1/(t-n):0,function(e){return Math.max(0,Math.min(1,(e-n)*t))}}function Uu(n){for(var t=n.source,e=n.target,r=Hu(t,e),u=[t];t!==r;)t=t.parent,u.push(t);for(var i=u.length;e!==r;)u.splice(i,0,e),e=e.parent;return u}function ju(n){for(var t=[],e=n.parent;null!=e;)t.push(n),n=e,e=e.parent;return t.push(n),t}function Hu(n,t){if(n===t)return n;for(var e=ju(n),r=ju(t),u=e.pop(),i=r.pop(),o=null;u===i;)o=u,u=e.pop(),i=r.pop();return o}function Fu(n){n.fixed|=2}function Ou(n){n.fixed&=-7}function Yu(n){n.fixed|=4,n.px=n.x,n.py=n.y}function Iu(n){n.fixed&=-5}function Zu(n,t,e){var r=0,u=0;if(n.charge=0,!n.leaf)for(var i,o=n.nodes,a=o.length,c=-1;++c<a;)i=o[c],null!=i&&(Zu(i,t,e),n.charge+=i.charge,r+=i.charge*i.cx,u+=i.charge*i.cy);if(n.point){n.leaf||(n.point.x+=Math.random()-.5,n.point.y+=Math.random()-.5);var s=t*e[n.point.index];n.charge+=n.pointCharge=s,r+=s*n.point.x,u+=s*n.point.y}n.cx=r/n.charge,n.cy=u/n.charge}function Vu(n,t){return Xo.rebind(n,t,"sort","children","value"),n.nodes=n,n.links=Wu,n}function Xu(n){return n.children}function $u(n){return n.value}function Bu(n,t){return t.value-n.value}function Wu(n){return Xo.merge(n.map(function(n){return(n.children||[]).map(function(t){return{source:n,target:t}})}))}function Ju(n){return n.x}function Gu(n){return n.y}function Ku(n,t,e){n.y0=t,n.y=e}function Qu(n){return Xo.range(n.length)}function ni(n){for(var t=-1,e=n[0].length,r=[];++t<e;)r[t]=0;return r}function ti(n){for(var t,e=1,r=0,u=n[0][1],i=n.length;i>e;++e)(t=n[e][1])>u&&(r=e,u=t);return r}function ei(n){return n.reduce(ri,0)}function ri(n,t){return n+t[1]}function ui(n,t){return ii(n,Math.ceil(Math.log(t.length)/Math.LN2+1))}function ii(n,t){for(var e=-1,r=+n[0],u=(n[1]-r)/t,i=[];++e<=t;)i[e]=u*e+r;return i}function oi(n){return[Xo.min(n),Xo.max(n)]}function ai(n,t){return n.parent==t.parent?1:2}function ci(n){var t=n.children;return t&&t.length?t[0]:n._tree.thread}function si(n){var t,e=n.children;return e&&(t=e.length)?e[t-1]:n._tree.thread}function li(n,t){var e=n.children;if(e&&(u=e.length))for(var r,u,i=-1;++i<u;)t(r=li(e[i],t),n)>0&&(n=r);return n}function fi(n,t){return n.x-t.x}function hi(n,t){return t.x-n.x}function gi(n,t){return n.depth-t.depth}function pi(n,t){function e(n,r){var u=n.children;if(u&&(o=u.length))for(var i,o,a=null,c=-1;++c<o;)i=u[c],e(i,a),a=i;t(n,r)}e(n,null)}function vi(n){for(var t,e=0,r=0,u=n.children,i=u.length;--i>=0;)t=u[i]._tree,t.prelim+=e,t.mod+=e,e+=t.shift+(r+=t.change)}function di(n,t,e){n=n._tree,t=t._tree;var r=e/(t.number-n.number);n.change+=r,t.change-=r,t.shift+=e,t.prelim+=e,t.mod+=e}function mi(n,t,e){return n._tree.ancestor.parent==t.parent?n._tree.ancestor:e}function yi(n,t){return n.value-t.value}function xi(n,t){var e=n._pack_next;n._pack_next=t,t._pack_prev=n,t._pack_next=e,e._pack_prev=t}function Mi(n,t){n._pack_next=t,t._pack_prev=n}function _i(n,t){var e=t.x-n.x,r=t.y-n.y,u=n.r+t.r;return.999*u*u>e*e+r*r}function bi(n){function t(n){l=Math.min(n.x-n.r,l),f=Math.max(n.x+n.r,f),h=Math.min(n.y-n.r,h),g=Math.max(n.y+n.r,g)}if((e=n.children)&&(s=e.length)){var e,r,u,i,o,a,c,s,l=1/0,f=-1/0,h=1/0,g=-1/0;if(e.forEach(wi),r=e[0],r.x=-r.r,r.y=0,t(r),s>1&&(u=e[1],u.x=u.r,u.y=0,t(u),s>2))for(i=e[2],Ei(r,u,i),t(i),xi(r,i),r._pack_prev=i,xi(i,u),u=r._pack_next,o=3;s>o;o++){Ei(r,u,i=e[o]);var p=0,v=1,d=1;for(a=u._pack_next;a!==u;a=a._pack_next,v++)if(_i(a,i)){p=1;break}if(1==p)for(c=r._pack_prev;c!==a._pack_prev&&!_i(c,i);c=c._pack_prev,d++);p?(d>v||v==d&&u.r<r.r?Mi(r,u=a):Mi(r=c,u),o--):(xi(r,i),u=i,t(i))}var m=(l+f)/2,y=(h+g)/2,x=0;for(o=0;s>o;o++)i=e[o],i.x-=m,i.y-=y,x=Math.max(x,i.r+Math.sqrt(i.x*i.x+i.y*i.y));n.r=x,e.forEach(Si)}}function wi(n){n._pack_next=n._pack_prev=n}function Si(n){delete n._pack_next,delete n._pack_prev}function ki(n,t,e,r){var u=n.children;if(n.x=t+=r*n.x,n.y=e+=r*n.y,n.r*=r,u)for(var i=-1,o=u.length;++i<o;)ki(u[i],t,e,r)}function Ei(n,t,e){var r=n.r+e.r,u=t.x-n.x,i=t.y-n.y;if(r&&(u||i)){var o=t.r+e.r,a=u*u+i*i;o*=o,r*=r;var c=.5+(r-o)/(2*a),s=Math.sqrt(Math.max(0,2*o*(r+a)-(r-=a)*r-o*o))/(2*a);e.x=n.x+c*u+s*i,e.y=n.y+c*i-s*u}else e.x=n.x+r,e.y=n.y}function Ai(n){return 1+Xo.max(n,function(n){return n.y})}function Ci(n){return n.reduce(function(n,t){return n+t.x},0)/n.length}function Ni(n){var t=n.children;return t&&t.length?Ni(t[0]):n}function Li(n){var t,e=n.children;return e&&(t=e.length)?Li(e[t-1]):n}function zi(n){return{x:n.x,y:n.y,dx:n.dx,dy:n.dy}}function qi(n,t){var e=n.x+t[3],r=n.y+t[0],u=n.dx-t[1]-t[3],i=n.dy-t[0]-t[2];return 0>u&&(e+=u/2,u=0),0>i&&(r+=i/2,i=0),{x:e,y:r,dx:u,dy:i}}function Ti(n){var t=n[0],e=n[n.length-1];return e>t?[t,e]:[e,t]}function Ri(n){return n.rangeExtent?n.rangeExtent():Ti(n.range())}function Di(n,t,e,r){var u=e(n[0],n[1]),i=r(t[0],t[1]);return function(n){return i(u(n))}}function Pi(n,t){var e,r=0,u=n.length-1,i=n[r],o=n[u];return i>o&&(e=r,r=u,u=e,e=i,i=o,o=e),n[r]=t.floor(i),n[u]=t.ceil(o),n}function Ui(n){return n?{floor:function(t){return Math.floor(t/n)*n},ceil:function(t){return Math.ceil(t/n)*n}}:ls}function ji(n,t,e,r){var u=[],i=[],o=0,a=Math.min(n.length,t.length)-1;for(n[a]<n[0]&&(n=n.slice().reverse(),t=t.slice().reverse());++o<=a;)u.push(e(n[o-1],n[o])),i.push(r(t[o-1],t[o]));return function(t){var e=Xo.bisect(n,t,1,a)-1;return i[e](u[e](t))}}function Hi(n,t,e,r){function u(){var u=Math.min(n.length,t.length)>2?ji:Di,c=r?Pu:Du;return o=u(n,t,c,e),a=u(t,n,c,fu),i}function i(n){return o(n)}var o,a;return i.invert=function(n){return a(n)},i.domain=function(t){return arguments.length?(n=t.map(Number),u()):n},i.range=function(n){return arguments.length?(t=n,u()):t},i.rangeRound=function(n){return i.range(n).interpolate(Nu)},i.clamp=function(n){return arguments.length?(r=n,u()):r},i.interpolate=function(n){return arguments.length?(e=n,u()):e},i.ticks=function(t){return Ii(n,t)},i.tickFormat=function(t,e){return Zi(n,t,e)},i.nice=function(t){return Oi(n,t),u()},i.copy=function(){return Hi(n,t,e,r)},u()}function Fi(n,t){return Xo.rebind(n,t,"range","rangeRound","interpolate","clamp")}function Oi(n,t){return Pi(n,Ui(Yi(n,t)[2]))}function Yi(n,t){null==t&&(t=10);var e=Ti(n),r=e[1]-e[0],u=Math.pow(10,Math.floor(Math.log(r/t)/Math.LN10)),i=t/r*u;return.15>=i?u*=10:.35>=i?u*=5:.75>=i&&(u*=2),e[0]=Math.ceil(e[0]/u)*u,e[1]=Math.floor(e[1]/u)*u+.5*u,e[2]=u,e}function Ii(n,t){return Xo.range.apply(Xo,Yi(n,t))}function Zi(n,t,e){var r=Yi(n,t);return Xo.format(e?e.replace(Qa,function(n,t,e,u,i,o,a,c,s,l){return[t,e,u,i,o,a,c,s||"."+Xi(l,r),l].join("")}):",."+Vi(r[2])+"f")}function Vi(n){return-Math.floor(Math.log(n)/Math.LN10+.01)}function Xi(n,t){var e=Vi(t[2]);return n in fs?Math.abs(e-Vi(Math.max(Math.abs(t[0]),Math.abs(t[1]))))+ +("e"!==n):e-2*("%"===n)}function $i(n,t,e,r){function u(n){return(e?Math.log(0>n?0:n):-Math.log(n>0?0:-n))/Math.log(t)}function i(n){return e?Math.pow(t,n):-Math.pow(t,-n)}function o(t){return n(u(t))}return o.invert=function(t){return i(n.invert(t))},o.domain=function(t){return arguments.length?(e=t[0]>=0,n.domain((r=t.map(Number)).map(u)),o):r},o.base=function(e){return arguments.length?(t=+e,n.domain(r.map(u)),o):t},o.nice=function(){var t=Pi(r.map(u),e?Math:gs);return n.domain(t),r=t.map(i),o},o.ticks=function(){var n=Ti(r),o=[],a=n[0],c=n[1],s=Math.floor(u(a)),l=Math.ceil(u(c)),f=t%1?2:t;if(isFinite(l-s)){if(e){for(;l>s;s++)for(var h=1;f>h;h++)o.push(i(s)*h);o.push(i(s))}else for(o.push(i(s));s++<l;)for(var h=f-1;h>0;h--)o.push(i(s)*h);for(s=0;o[s]<a;s++);for(l=o.length;o[l-1]>c;l--);o=o.slice(s,l)}return o},o.tickFormat=function(n,t){if(!arguments.length)return hs;arguments.length<2?t=hs:"function"!=typeof t&&(t=Xo.format(t));var r,a=Math.max(.1,n/o.ticks().length),c=e?(r=1e-12,Math.ceil):(r=-1e-12,Math.floor);return function(n){return n/i(c(u(n)+r))<=a?t(n):""}},o.copy=function(){return $i(n.copy(),t,e,r)},Fi(o,n)}function Bi(n,t,e){function r(t){return n(u(t))}var u=Wi(t),i=Wi(1/t);return r.invert=function(t){return i(n.invert(t))},r.domain=function(t){return arguments.length?(n.domain((e=t.map(Number)).map(u)),r):e},r.ticks=function(n){return Ii(e,n)},r.tickFormat=function(n,t){return Zi(e,n,t)},r.nice=function(n){return r.domain(Oi(e,n))},r.exponent=function(o){return arguments.length?(u=Wi(t=o),i=Wi(1/t),n.domain(e.map(u)),r):t},r.copy=function(){return Bi(n.copy(),t,e)},Fi(r,n)}function Wi(n){return function(t){return 0>t?-Math.pow(-t,n):Math.pow(t,n)}}function Ji(n,t){function e(e){return o[((i.get(e)||"range"===t.t&&i.set(e,n.push(e)))-1)%o.length]}function r(t,e){return Xo.range(n.length).map(function(n){return t+e*n})}var i,o,a;return e.domain=function(r){if(!arguments.length)return n;n=[],i=new u;for(var o,a=-1,c=r.length;++a<c;)i.has(o=r[a])||i.set(o,n.push(o));return e[t.t].apply(e,t.a)},e.range=function(n){return arguments.length?(o=n,a=0,t={t:"range",a:arguments},e):o},e.rangePoints=function(u,i){arguments.length<2&&(i=0);var c=u[0],s=u[1],l=(s-c)/(Math.max(1,n.length-1)+i);return o=r(n.length<2?(c+s)/2:c+l*i/2,l),a=0,t={t:"rangePoints",a:arguments},e},e.rangeBands=function(u,i,c){arguments.length<2&&(i=0),arguments.length<3&&(c=i);var s=u[1]<u[0],l=u[s-0],f=u[1-s],h=(f-l)/(n.length-i+2*c);return o=r(l+h*c,h),s&&o.reverse(),a=h*(1-i),t={t:"rangeBands",a:arguments},e},e.rangeRoundBands=function(u,i,c){arguments.length<2&&(i=0),arguments.length<3&&(c=i);var s=u[1]<u[0],l=u[s-0],f=u[1-s],h=Math.floor((f-l)/(n.length-i+2*c)),g=f-l-(n.length-i)*h;return o=r(l+Math.round(g/2),h),s&&o.reverse(),a=Math.round(h*(1-i)),t={t:"rangeRoundBands",a:arguments},e},e.rangeBand=function(){return a},e.rangeExtent=function(){return Ti(t.a[0])},e.copy=function(){return Ji(n,t)},e.domain(n)}function Gi(n,t){function e(){var e=0,i=t.length;for(u=[];++e<i;)u[e-1]=Xo.quantile(n,e/i);return r}function r(n){return isNaN(n=+n)?void 0:t[Xo.bisect(u,n)]}var u;return r.domain=function(t){return arguments.length?(n=t.filter(function(n){return!isNaN(n)}).sort(Xo.ascending),e()):n},r.range=function(n){return arguments.length?(t=n,e()):t},r.quantiles=function(){return u},r.invertExtent=function(e){return e=t.indexOf(e),0>e?[0/0,0/0]:[e>0?u[e-1]:n[0],e<u.length?u[e]:n[n.length-1]]},r.copy=function(){return Gi(n,t)},e()}function Ki(n,t,e){function r(t){return e[Math.max(0,Math.min(o,Math.floor(i*(t-n))))]}function u(){return i=e.length/(t-n),o=e.length-1,r}var i,o;return r.domain=function(e){return arguments.length?(n=+e[0],t=+e[e.length-1],u()):[n,t]},r.range=function(n){return arguments.length?(e=n,u()):e},r.invertExtent=function(t){return t=e.indexOf(t),t=0>t?0/0:t/i+n,[t,t+1/i]},r.copy=function(){return Ki(n,t,e)},u()}function Qi(n,t){function e(e){return e>=e?t[Xo.bisect(n,e)]:void 0}return e.domain=function(t){return arguments.length?(n=t,e):n},e.range=function(n){return arguments.length?(t=n,e):t},e.invertExtent=function(e){return e=t.indexOf(e),[n[e-1],n[e]]},e.copy=function(){return Qi(n,t)},e}function no(n){function t(n){return+n}return t.invert=t,t.domain=t.range=function(e){return arguments.length?(n=e.map(t),t):n},t.ticks=function(t){return Ii(n,t)},t.tickFormat=function(t,e){return Zi(n,t,e)},t.copy=function(){return no(n)},t}function to(n){return n.innerRadius}function eo(n){return n.outerRadius}function ro(n){return n.startAngle}function uo(n){return n.endAngle}function io(n){function t(t){function o(){s.push("M",i(n(l),a))}for(var c,s=[],l=[],f=-1,h=t.length,g=_t(e),p=_t(r);++f<h;)u.call(this,c=t[f],f)?l.push([+g.call(this,c,f),+p.call(this,c,f)]):l.length&&(o(),l=[]);return l.length&&o(),s.length?s.join(""):null}var e=br,r=wr,u=be,i=oo,o=i.key,a=.7;return t.x=function(n){return arguments.length?(e=n,t):e},t.y=function(n){return arguments.length?(r=n,t):r},t.defined=function(n){return arguments.length?(u=n,t):u},t.interpolate=function(n){return arguments.length?(o="function"==typeof n?i=n:(i=Ms.get(n)||oo).key,t):o},t.tension=function(n){return arguments.length?(a=n,t):a},t}function oo(n){return n.join("L")}function ao(n){return oo(n)+"Z"}function co(n){for(var t=0,e=n.length,r=n[0],u=[r[0],",",r[1]];++t<e;)u.push("H",(r[0]+(r=n[t])[0])/2,"V",r[1]);return e>1&&u.push("H",r[0]),u.join("")}function so(n){for(var t=0,e=n.length,r=n[0],u=[r[0],",",r[1]];++t<e;)u.push("V",(r=n[t])[1],"H",r[0]);return u.join("")}function lo(n){for(var t=0,e=n.length,r=n[0],u=[r[0],",",r[1]];++t<e;)u.push("H",(r=n[t])[0],"V",r[1]);return u.join("")}function fo(n,t){return n.length<4?oo(n):n[1]+po(n.slice(1,n.length-1),vo(n,t))}function ho(n,t){return n.length<3?oo(n):n[0]+po((n.push(n[0]),n),vo([n[n.length-2]].concat(n,[n[1]]),t))}function go(n,t){return n.length<3?oo(n):n[0]+po(n,vo(n,t))}function po(n,t){if(t.length<1||n.length!=t.length&&n.length!=t.length+2)return oo(n);var e=n.length!=t.length,r="",u=n[0],i=n[1],o=t[0],a=o,c=1;if(e&&(r+="Q"+(i[0]-2*o[0]/3)+","+(i[1]-2*o[1]/3)+","+i[0]+","+i[1],u=n[1],c=2),t.length>1){a=t[1],i=n[c],c++,r+="C"+(u[0]+o[0])+","+(u[1]+o[1])+","+(i[0]-a[0])+","+(i[1]-a[1])+","+i[0]+","+i[1];for(var s=2;s<t.length;s++,c++)i=n[c],a=t[s],r+="S"+(i[0]-a[0])+","+(i[1]-a[1])+","+i[0]+","+i[1]}if(e){var l=n[c];r+="Q"+(i[0]+2*a[0]/3)+","+(i[1]+2*a[1]/3)+","+l[0]+","+l[1]}return r}function vo(n,t){for(var e,r=[],u=(1-t)/2,i=n[0],o=n[1],a=1,c=n.length;++a<c;)e=i,i=o,o=n[a],r.push([u*(o[0]-e[0]),u*(o[1]-e[1])]);return r}function mo(n){if(n.length<3)return oo(n);var t=1,e=n.length,r=n[0],u=r[0],i=r[1],o=[u,u,u,(r=n[1])[0]],a=[i,i,i,r[1]],c=[u,",",i,"L",_o(ws,o),",",_o(ws,a)];for(n.push(n[e-1]);++t<=e;)r=n[t],o.shift(),o.push(r[0]),a.shift(),a.push(r[1]),bo(c,o,a);return n.pop(),c.push("L",r),c.join("")}function yo(n){if(n.length<4)return oo(n);for(var t,e=[],r=-1,u=n.length,i=[0],o=[0];++r<3;)t=n[r],i.push(t[0]),o.push(t[1]);for(e.push(_o(ws,i)+","+_o(ws,o)),--r;++r<u;)t=n[r],i.shift(),i.push(t[0]),o.shift(),o.push(t[1]),bo(e,i,o);return e.join("")}function xo(n){for(var t,e,r=-1,u=n.length,i=u+4,o=[],a=[];++r<4;)e=n[r%u],o.push(e[0]),a.push(e[1]);for(t=[_o(ws,o),",",_o(ws,a)],--r;++r<i;)e=n[r%u],o.shift(),o.push(e[0]),a.shift(),a.push(e[1]),bo(t,o,a);return t.join("")}function Mo(n,t){var e=n.length-1;if(e)for(var r,u,i=n[0][0],o=n[0][1],a=n[e][0]-i,c=n[e][1]-o,s=-1;++s<=e;)r=n[s],u=s/e,r[0]=t*r[0]+(1-t)*(i+u*a),r[1]=t*r[1]+(1-t)*(o+u*c);return mo(n)}function _o(n,t){return n[0]*t[0]+n[1]*t[1]+n[2]*t[2]+n[3]*t[3]}function bo(n,t,e){n.push("C",_o(_s,t),",",_o(_s,e),",",_o(bs,t),",",_o(bs,e),",",_o(ws,t),",",_o(ws,e))}function wo(n,t){return(t[1]-n[1])/(t[0]-n[0])}function So(n){for(var t=0,e=n.length-1,r=[],u=n[0],i=n[1],o=r[0]=wo(u,i);++t<e;)r[t]=(o+(o=wo(u=i,i=n[t+1])))/2;return r[t]=o,r}function ko(n){for(var t,e,r,u,i=[],o=So(n),a=-1,c=n.length-1;++a<c;)t=wo(n[a],n[a+1]),oa(t)<Aa?o[a]=o[a+1]=0:(e=o[a]/t,r=o[a+1]/t,u=e*e+r*r,u>9&&(u=3*t/Math.sqrt(u),o[a]=u*e,o[a+1]=u*r));for(a=-1;++a<=c;)u=(n[Math.min(c,a+1)][0]-n[Math.max(0,a-1)][0])/(6*(1+o[a]*o[a])),i.push([u||0,o[a]*u||0]);return i}function Eo(n){return n.length<3?oo(n):n[0]+po(n,ko(n))}function Ao(n){for(var t,e,r,u=-1,i=n.length;++u<i;)t=n[u],e=t[0],r=t[1]+ys,t[0]=e*Math.cos(r),t[1]=e*Math.sin(r);return n}function Co(n){function t(t){function c(){v.push("M",a(n(m),f),l,s(n(d.reverse()),f),"Z")}for(var h,g,p,v=[],d=[],m=[],y=-1,x=t.length,M=_t(e),_=_t(u),b=e===r?function(){return g}:_t(r),w=u===i?function(){return p}:_t(i);++y<x;)o.call(this,h=t[y],y)?(d.push([g=+M.call(this,h,y),p=+_.call(this,h,y)]),m.push([+b.call(this,h,y),+w.call(this,h,y)])):d.length&&(c(),d=[],m=[]);return d.length&&c(),v.length?v.join(""):null}var e=br,r=br,u=0,i=wr,o=be,a=oo,c=a.key,s=a,l="L",f=.7;return t.x=function(n){return arguments.length?(e=r=n,t):r},t.x0=function(n){return arguments.length?(e=n,t):e},t.x1=function(n){return arguments.length?(r=n,t):r},t.y=function(n){return arguments.length?(u=i=n,t):i},t.y0=function(n){return arguments.length?(u=n,t):u},t.y1=function(n){return arguments.length?(i=n,t):i},t.defined=function(n){return arguments.length?(o=n,t):o},t.interpolate=function(n){return arguments.length?(c="function"==typeof n?a=n:(a=Ms.get(n)||oo).key,s=a.reverse||a,l=a.closed?"M":"L",t):c},t.tension=function(n){return arguments.length?(f=n,t):f},t}function No(n){return n.radius}function Lo(n){return[n.x,n.y]}function zo(n){return function(){var t=n.apply(this,arguments),e=t[0],r=t[1]+ys;return[e*Math.cos(r),e*Math.sin(r)]}}function qo(){return 64}function To(){return"circle"}function Ro(n){var t=Math.sqrt(n/Sa);return"M0,"+t+"A"+t+","+t+" 0 1,1 0,"+-t+"A"+t+","+t+" 0 1,1 0,"+t+"Z"}function Do(n,t){return fa(n,Ns),n.id=t,n}function Po(n,t,e,r){var u=n.id;return R(n,"function"==typeof e?function(n,i,o){n.__transition__[u].tween.set(t,r(e.call(n,n.__data__,i,o)))}:(e=r(e),function(n){n.__transition__[u].tween.set(t,e)}))}function Uo(n){return null==n&&(n=""),function(){this.textContent=n}}function jo(n,t,e,r){var i=n.__transition__||(n.__transition__={active:0,count:0}),o=i[e];if(!o){var a=r.time;o=i[e]={tween:new u,time:a,ease:r.ease,delay:r.delay,duration:r.duration},++i.count,Xo.timer(function(r){function u(r){return i.active>e?s():(i.active=e,o.event&&o.event.start.call(n,l,t),o.tween.forEach(function(e,r){(r=r.call(n,l,t))&&v.push(r)}),Xo.timer(function(){return p.c=c(r||1)?be:c,1},0,a),void 0)}function c(r){if(i.active!==e)return s();for(var u=r/g,a=f(u),c=v.length;c>0;)v[--c].call(n,a);return u>=1?(o.event&&o.event.end.call(n,l,t),s()):void 0}function s(){return--i.count?delete i[e]:delete n.__transition__,1}var l=n.__data__,f=o.ease,h=o.delay,g=o.duration,p=Ja,v=[];return p.t=h+a,r>=h?u(r-h):(p.c=u,void 0)},0,a)}}function Ho(n,t){n.attr("transform",function(n){return"translate("+t(n)+",0)"})}function Fo(n,t){n.attr("transform",function(n){return"translate(0,"+t(n)+")"})}function Oo(n){return n.toISOString()}function Yo(n,t,e){function r(t){return n(t)}function u(n,e){var r=n[1]-n[0],u=r/e,i=Xo.bisect(js,u);
return i==js.length?[t.year,Yi(n.map(function(n){return n/31536e6}),e)[2]]:i?t[u/js[i-1]<js[i]/u?i-1:i]:[Os,Yi(n,e)[2]]}return r.invert=function(t){return Io(n.invert(t))},r.domain=function(t){return arguments.length?(n.domain(t),r):n.domain().map(Io)},r.nice=function(n,t){function e(e){return!isNaN(e)&&!n.range(e,Io(+e+1),t).length}var i=r.domain(),o=Ti(i),a=null==n?u(o,10):"number"==typeof n&&u(o,n);return a&&(n=a[0],t=a[1]),r.domain(Pi(i,t>1?{floor:function(t){for(;e(t=n.floor(t));)t=Io(t-1);return t},ceil:function(t){for(;e(t=n.ceil(t));)t=Io(+t+1);return t}}:n))},r.ticks=function(n,t){var e=Ti(r.domain()),i=null==n?u(e,10):"number"==typeof n?u(e,n):!n.range&&[{range:n},t];return i&&(n=i[0],t=i[1]),n.range(e[0],Io(+e[1]+1),1>t?1:t)},r.tickFormat=function(){return e},r.copy=function(){return Yo(n.copy(),t,e)},Fi(r,n)}function Io(n){return new Date(n)}function Zo(n){return JSON.parse(n.responseText)}function Vo(n){var t=Wo.createRange();return t.selectNode(Wo.body),t.createContextualFragment(n.responseText)}var Xo={version:"3.4.3"};Date.now||(Date.now=function(){return+new Date});var $o=[].slice,Bo=function(n){return $o.call(n)},Wo=document,Jo=Wo.documentElement,Go=window;try{Bo(Jo.childNodes)[0].nodeType}catch(Ko){Bo=function(n){for(var t=n.length,e=new Array(t);t--;)e[t]=n[t];return e}}try{Wo.createElement("div").style.setProperty("opacity",0,"")}catch(Qo){var na=Go.Element.prototype,ta=na.setAttribute,ea=na.setAttributeNS,ra=Go.CSSStyleDeclaration.prototype,ua=ra.setProperty;na.setAttribute=function(n,t){ta.call(this,n,t+"")},na.setAttributeNS=function(n,t,e){ea.call(this,n,t,e+"")},ra.setProperty=function(n,t,e){ua.call(this,n,t+"",e)}}Xo.ascending=function(n,t){return t>n?-1:n>t?1:n>=t?0:0/0},Xo.descending=function(n,t){return n>t?-1:t>n?1:t>=n?0:0/0},Xo.min=function(n,t){var e,r,u=-1,i=n.length;if(1===arguments.length){for(;++u<i&&!(null!=(e=n[u])&&e>=e);)e=void 0;for(;++u<i;)null!=(r=n[u])&&e>r&&(e=r)}else{for(;++u<i&&!(null!=(e=t.call(n,n[u],u))&&e>=e);)e=void 0;for(;++u<i;)null!=(r=t.call(n,n[u],u))&&e>r&&(e=r)}return e},Xo.max=function(n,t){var e,r,u=-1,i=n.length;if(1===arguments.length){for(;++u<i&&!(null!=(e=n[u])&&e>=e);)e=void 0;for(;++u<i;)null!=(r=n[u])&&r>e&&(e=r)}else{for(;++u<i&&!(null!=(e=t.call(n,n[u],u))&&e>=e);)e=void 0;for(;++u<i;)null!=(r=t.call(n,n[u],u))&&r>e&&(e=r)}return e},Xo.extent=function(n,t){var e,r,u,i=-1,o=n.length;if(1===arguments.length){for(;++i<o&&!(null!=(e=u=n[i])&&e>=e);)e=u=void 0;for(;++i<o;)null!=(r=n[i])&&(e>r&&(e=r),r>u&&(u=r))}else{for(;++i<o&&!(null!=(e=u=t.call(n,n[i],i))&&e>=e);)e=void 0;for(;++i<o;)null!=(r=t.call(n,n[i],i))&&(e>r&&(e=r),r>u&&(u=r))}return[e,u]},Xo.sum=function(n,t){var e,r=0,u=n.length,i=-1;if(1===arguments.length)for(;++i<u;)isNaN(e=+n[i])||(r+=e);else for(;++i<u;)isNaN(e=+t.call(n,n[i],i))||(r+=e);return r},Xo.mean=function(t,e){var r,u=t.length,i=0,o=-1,a=0;if(1===arguments.length)for(;++o<u;)n(r=t[o])&&(i+=(r-i)/++a);else for(;++o<u;)n(r=e.call(t,t[o],o))&&(i+=(r-i)/++a);return a?i:void 0},Xo.quantile=function(n,t){var e=(n.length-1)*t+1,r=Math.floor(e),u=+n[r-1],i=e-r;return i?u+i*(n[r]-u):u},Xo.median=function(t,e){return arguments.length>1&&(t=t.map(e)),t=t.filter(n),t.length?Xo.quantile(t.sort(Xo.ascending),.5):void 0},Xo.bisector=function(n){return{left:function(t,e,r,u){for(arguments.length<3&&(r=0),arguments.length<4&&(u=t.length);u>r;){var i=r+u>>>1;n.call(t,t[i],i)<e?r=i+1:u=i}return r},right:function(t,e,r,u){for(arguments.length<3&&(r=0),arguments.length<4&&(u=t.length);u>r;){var i=r+u>>>1;e<n.call(t,t[i],i)?u=i:r=i+1}return r}}};var ia=Xo.bisector(function(n){return n});Xo.bisectLeft=ia.left,Xo.bisect=Xo.bisectRight=ia.right,Xo.shuffle=function(n){for(var t,e,r=n.length;r;)e=0|Math.random()*r--,t=n[r],n[r]=n[e],n[e]=t;return n},Xo.permute=function(n,t){for(var e=t.length,r=new Array(e);e--;)r[e]=n[t[e]];return r},Xo.pairs=function(n){for(var t,e=0,r=n.length-1,u=n[0],i=new Array(0>r?0:r);r>e;)i[e]=[t=u,u=n[++e]];return i},Xo.zip=function(){if(!(u=arguments.length))return[];for(var n=-1,e=Xo.min(arguments,t),r=new Array(e);++n<e;)for(var u,i=-1,o=r[n]=new Array(u);++i<u;)o[i]=arguments[i][n];return r},Xo.transpose=function(n){return Xo.zip.apply(Xo,n)},Xo.keys=function(n){var t=[];for(var e in n)t.push(e);return t},Xo.values=function(n){var t=[];for(var e in n)t.push(n[e]);return t},Xo.entries=function(n){var t=[];for(var e in n)t.push({key:e,value:n[e]});return t},Xo.merge=function(n){for(var t,e,r,u=n.length,i=-1,o=0;++i<u;)o+=n[i].length;for(e=new Array(o);--u>=0;)for(r=n[u],t=r.length;--t>=0;)e[--o]=r[t];return e};var oa=Math.abs;Xo.range=function(n,t,r){if(arguments.length<3&&(r=1,arguments.length<2&&(t=n,n=0)),1/0===(t-n)/r)throw new Error("infinite range");var u,i=[],o=e(oa(r)),a=-1;if(n*=o,t*=o,r*=o,0>r)for(;(u=n+r*++a)>t;)i.push(u/o);else for(;(u=n+r*++a)<t;)i.push(u/o);return i},Xo.map=function(n){var t=new u;if(n instanceof u)n.forEach(function(n,e){t.set(n,e)});else for(var e in n)t.set(e,n[e]);return t},r(u,{has:i,get:function(n){return this[aa+n]},set:function(n,t){return this[aa+n]=t},remove:o,keys:a,values:function(){var n=[];return this.forEach(function(t,e){n.push(e)}),n},entries:function(){var n=[];return this.forEach(function(t,e){n.push({key:t,value:e})}),n},size:c,empty:s,forEach:function(n){for(var t in this)t.charCodeAt(0)===ca&&n.call(this,t.substring(1),this[t])}});var aa="\x00",ca=aa.charCodeAt(0);Xo.nest=function(){function n(t,a,c){if(c>=o.length)return r?r.call(i,a):e?a.sort(e):a;for(var s,l,f,h,g=-1,p=a.length,v=o[c++],d=new u;++g<p;)(h=d.get(s=v(l=a[g])))?h.push(l):d.set(s,[l]);return t?(l=t(),f=function(e,r){l.set(e,n(t,r,c))}):(l={},f=function(e,r){l[e]=n(t,r,c)}),d.forEach(f),l}function t(n,e){if(e>=o.length)return n;var r=[],u=a[e++];return n.forEach(function(n,u){r.push({key:n,values:t(u,e)})}),u?r.sort(function(n,t){return u(n.key,t.key)}):r}var e,r,i={},o=[],a=[];return i.map=function(t,e){return n(e,t,0)},i.entries=function(e){return t(n(Xo.map,e,0),0)},i.key=function(n){return o.push(n),i},i.sortKeys=function(n){return a[o.length-1]=n,i},i.sortValues=function(n){return e=n,i},i.rollup=function(n){return r=n,i},i},Xo.set=function(n){var t=new l;if(n)for(var e=0,r=n.length;r>e;++e)t.add(n[e]);return t},r(l,{has:i,add:function(n){return this[aa+n]=!0,n},remove:function(n){return n=aa+n,n in this&&delete this[n]},values:a,size:c,empty:s,forEach:function(n){for(var t in this)t.charCodeAt(0)===ca&&n.call(this,t.substring(1))}}),Xo.behavior={},Xo.rebind=function(n,t){for(var e,r=1,u=arguments.length;++r<u;)n[e=arguments[r]]=f(n,t,t[e]);return n};var sa=["webkit","ms","moz","Moz","o","O"];Xo.dispatch=function(){for(var n=new p,t=-1,e=arguments.length;++t<e;)n[arguments[t]]=v(n);return n},p.prototype.on=function(n,t){var e=n.indexOf("."),r="";if(e>=0&&(r=n.substring(e+1),n=n.substring(0,e)),n)return arguments.length<2?this[n].on(r):this[n].on(r,t);if(2===arguments.length){if(null==t)for(n in this)this.hasOwnProperty(n)&&this[n].on(r,null);return this}},Xo.event=null,Xo.requote=function(n){return n.replace(la,"\\$&")};var la=/[\\\^\$\*\+\?\|\[\]\(\)\.\{\}]/g,fa={}.__proto__?function(n,t){n.__proto__=t}:function(n,t){for(var e in t)n[e]=t[e]},ha=function(n,t){return t.querySelector(n)},ga=function(n,t){return t.querySelectorAll(n)},pa=Jo[h(Jo,"matchesSelector")],va=function(n,t){return pa.call(n,t)};"function"==typeof Sizzle&&(ha=function(n,t){return Sizzle(n,t)[0]||null},ga=function(n,t){return Sizzle.uniqueSort(Sizzle(n,t))},va=Sizzle.matchesSelector),Xo.selection=function(){return xa};var da=Xo.selection.prototype=[];da.select=function(n){var t,e,r,u,i=[];n=M(n);for(var o=-1,a=this.length;++o<a;){i.push(t=[]),t.parentNode=(r=this[o]).parentNode;for(var c=-1,s=r.length;++c<s;)(u=r[c])?(t.push(e=n.call(u,u.__data__,c,o)),e&&"__data__"in u&&(e.__data__=u.__data__)):t.push(null)}return x(i)},da.selectAll=function(n){var t,e,r=[];n=_(n);for(var u=-1,i=this.length;++u<i;)for(var o=this[u],a=-1,c=o.length;++a<c;)(e=o[a])&&(r.push(t=Bo(n.call(e,e.__data__,a,u))),t.parentNode=e);return x(r)};var ma={svg:"http://www.w3.org/2000/svg",xhtml:"http://www.w3.org/1999/xhtml",xlink:"http://www.w3.org/1999/xlink",xml:"http://www.w3.org/XML/1998/namespace",xmlns:"http://www.w3.org/2000/xmlns/"};Xo.ns={prefix:ma,qualify:function(n){var t=n.indexOf(":"),e=n;return t>=0&&(e=n.substring(0,t),n=n.substring(t+1)),ma.hasOwnProperty(e)?{space:ma[e],local:n}:n}},da.attr=function(n,t){if(arguments.length<2){if("string"==typeof n){var e=this.node();return n=Xo.ns.qualify(n),n.local?e.getAttributeNS(n.space,n.local):e.getAttribute(n)}for(t in n)this.each(b(t,n[t]));return this}return this.each(b(n,t))},da.classed=function(n,t){if(arguments.length<2){if("string"==typeof n){var e=this.node(),r=(n=k(n)).length,u=-1;if(t=e.classList){for(;++u<r;)if(!t.contains(n[u]))return!1}else for(t=e.getAttribute("class");++u<r;)if(!S(n[u]).test(t))return!1;return!0}for(t in n)this.each(E(t,n[t]));return this}return this.each(E(n,t))},da.style=function(n,t,e){var r=arguments.length;if(3>r){if("string"!=typeof n){2>r&&(t="");for(e in n)this.each(C(e,n[e],t));return this}if(2>r)return Go.getComputedStyle(this.node(),null).getPropertyValue(n);e=""}return this.each(C(n,t,e))},da.property=function(n,t){if(arguments.length<2){if("string"==typeof n)return this.node()[n];for(t in n)this.each(N(t,n[t]));return this}return this.each(N(n,t))},da.text=function(n){return arguments.length?this.each("function"==typeof n?function(){var t=n.apply(this,arguments);this.textContent=null==t?"":t}:null==n?function(){this.textContent=""}:function(){this.textContent=n}):this.node().textContent},da.html=function(n){return arguments.length?this.each("function"==typeof n?function(){var t=n.apply(this,arguments);this.innerHTML=null==t?"":t}:null==n?function(){this.innerHTML=""}:function(){this.innerHTML=n}):this.node().innerHTML},da.append=function(n){return n=L(n),this.select(function(){return this.appendChild(n.apply(this,arguments))})},da.insert=function(n,t){return n=L(n),t=M(t),this.select(function(){return this.insertBefore(n.apply(this,arguments),t.apply(this,arguments)||null)})},da.remove=function(){return this.each(function(){var n=this.parentNode;n&&n.removeChild(this)})},da.data=function(n,t){function e(n,e){var r,i,o,a=n.length,f=e.length,h=Math.min(a,f),g=new Array(f),p=new Array(f),v=new Array(a);if(t){var d,m=new u,y=new u,x=[];for(r=-1;++r<a;)d=t.call(i=n[r],i.__data__,r),m.has(d)?v[r]=i:m.set(d,i),x.push(d);for(r=-1;++r<f;)d=t.call(e,o=e[r],r),(i=m.get(d))?(g[r]=i,i.__data__=o):y.has(d)||(p[r]=z(o)),y.set(d,o),m.remove(d);for(r=-1;++r<a;)m.has(x[r])&&(v[r]=n[r])}else{for(r=-1;++r<h;)i=n[r],o=e[r],i?(i.__data__=o,g[r]=i):p[r]=z(o);for(;f>r;++r)p[r]=z(e[r]);for(;a>r;++r)v[r]=n[r]}p.update=g,p.parentNode=g.parentNode=v.parentNode=n.parentNode,c.push(p),s.push(g),l.push(v)}var r,i,o=-1,a=this.length;if(!arguments.length){for(n=new Array(a=(r=this[0]).length);++o<a;)(i=r[o])&&(n[o]=i.__data__);return n}var c=D([]),s=x([]),l=x([]);if("function"==typeof n)for(;++o<a;)e(r=this[o],n.call(r,r.parentNode.__data__,o));else for(;++o<a;)e(r=this[o],n);return s.enter=function(){return c},s.exit=function(){return l},s},da.datum=function(n){return arguments.length?this.property("__data__",n):this.property("__data__")},da.filter=function(n){var t,e,r,u=[];"function"!=typeof n&&(n=q(n));for(var i=0,o=this.length;o>i;i++){u.push(t=[]),t.parentNode=(e=this[i]).parentNode;for(var a=0,c=e.length;c>a;a++)(r=e[a])&&n.call(r,r.__data__,a,i)&&t.push(r)}return x(u)},da.order=function(){for(var n=-1,t=this.length;++n<t;)for(var e,r=this[n],u=r.length-1,i=r[u];--u>=0;)(e=r[u])&&(i&&i!==e.nextSibling&&i.parentNode.insertBefore(e,i),i=e);return this},da.sort=function(n){n=T.apply(this,arguments);for(var t=-1,e=this.length;++t<e;)this[t].sort(n);return this.order()},da.each=function(n){return R(this,function(t,e,r){n.call(t,t.__data__,e,r)})},da.call=function(n){var t=Bo(arguments);return n.apply(t[0]=this,t),this},da.empty=function(){return!this.node()},da.node=function(){for(var n=0,t=this.length;t>n;n++)for(var e=this[n],r=0,u=e.length;u>r;r++){var i=e[r];if(i)return i}return null},da.size=function(){var n=0;return this.each(function(){++n}),n};var ya=[];Xo.selection.enter=D,Xo.selection.enter.prototype=ya,ya.append=da.append,ya.empty=da.empty,ya.node=da.node,ya.call=da.call,ya.size=da.size,ya.select=function(n){for(var t,e,r,u,i,o=[],a=-1,c=this.length;++a<c;){r=(u=this[a]).update,o.push(t=[]),t.parentNode=u.parentNode;for(var s=-1,l=u.length;++s<l;)(i=u[s])?(t.push(r[s]=e=n.call(u.parentNode,i.__data__,s,a)),e.__data__=i.__data__):t.push(null)}return x(o)},ya.insert=function(n,t){return arguments.length<2&&(t=P(this)),da.insert.call(this,n,t)},da.transition=function(){for(var n,t,e=ks||++Ls,r=[],u=Es||{time:Date.now(),ease:yu,delay:0,duration:250},i=-1,o=this.length;++i<o;){r.push(n=[]);for(var a=this[i],c=-1,s=a.length;++c<s;)(t=a[c])&&jo(t,c,e,u),n.push(t)}return Do(r,e)},da.interrupt=function(){return this.each(U)},Xo.select=function(n){var t=["string"==typeof n?ha(n,Wo):n];return t.parentNode=Jo,x([t])},Xo.selectAll=function(n){var t=Bo("string"==typeof n?ga(n,Wo):n);return t.parentNode=Jo,x([t])};var xa=Xo.select(Jo);da.on=function(n,t,e){var r=arguments.length;if(3>r){if("string"!=typeof n){2>r&&(t=!1);for(e in n)this.each(j(e,n[e],t));return this}if(2>r)return(r=this.node()["__on"+n])&&r._;e=!1}return this.each(j(n,t,e))};var Ma=Xo.map({mouseenter:"mouseover",mouseleave:"mouseout"});Ma.forEach(function(n){"on"+n in Wo&&Ma.remove(n)});var _a="onselectstart"in Wo?null:h(Jo.style,"userSelect"),ba=0;Xo.mouse=function(n){return Y(n,m())};var wa=/WebKit/.test(Go.navigator.userAgent)?-1:0;Xo.touches=function(n,t){return arguments.length<2&&(t=m().touches),t?Bo(t).map(function(t){var e=Y(n,t);return e.identifier=t.identifier,e}):[]},Xo.behavior.drag=function(){function n(){this.on("mousedown.drag",o).on("touchstart.drag",a)}function t(){return Xo.event.changedTouches[0].identifier}function e(n,t){return Xo.touches(n).filter(function(n){return n.identifier===t})[0]}function r(n,t,e,r){return function(){function o(){var n=t(l,g),e=n[0]-v[0],r=n[1]-v[1];d|=e|r,v=n,f({type:"drag",x:n[0]+c[0],y:n[1]+c[1],dx:e,dy:r})}function a(){m.on(e+"."+p,null).on(r+"."+p,null),y(d&&Xo.event.target===h),f({type:"dragend"})}var c,s=this,l=s.parentNode,f=u.of(s,arguments),h=Xo.event.target,g=n(),p=null==g?"drag":"drag-"+g,v=t(l,g),d=0,m=Xo.select(Go).on(e+"."+p,o).on(r+"."+p,a),y=O();i?(c=i.apply(s,arguments),c=[c.x-v[0],c.y-v[1]]):c=[0,0],f({type:"dragstart"})}}var u=y(n,"drag","dragstart","dragend"),i=null,o=r(g,Xo.mouse,"mousemove","mouseup"),a=r(t,e,"touchmove","touchend");return n.origin=function(t){return arguments.length?(i=t,n):i},Xo.rebind(n,u,"on")};var Sa=Math.PI,ka=2*Sa,Ea=Sa/2,Aa=1e-6,Ca=Aa*Aa,Na=Sa/180,La=180/Sa,za=Math.SQRT2,qa=2,Ta=4;Xo.interpolateZoom=function(n,t){function e(n){var t=n*y;if(m){var e=B(v),o=i/(qa*h)*(e*W(za*t+v)-$(v));return[r+o*s,u+o*l,i*e/B(za*t+v)]}return[r+n*s,u+n*l,i*Math.exp(za*t)]}var r=n[0],u=n[1],i=n[2],o=t[0],a=t[1],c=t[2],s=o-r,l=a-u,f=s*s+l*l,h=Math.sqrt(f),g=(c*c-i*i+Ta*f)/(2*i*qa*h),p=(c*c-i*i-Ta*f)/(2*c*qa*h),v=Math.log(Math.sqrt(g*g+1)-g),d=Math.log(Math.sqrt(p*p+1)-p),m=d-v,y=(m||Math.log(c/i))/za;return e.duration=1e3*y,e},Xo.behavior.zoom=function(){function n(n){n.on(A,s).on(Pa+".zoom",f).on(C,h).on("dblclick.zoom",g).on(L,l)}function t(n){return[(n[0]-S.x)/S.k,(n[1]-S.y)/S.k]}function e(n){return[n[0]*S.k+S.x,n[1]*S.k+S.y]}function r(n){S.k=Math.max(E[0],Math.min(E[1],n))}function u(n,t){t=e(t),S.x+=n[0]-t[0],S.y+=n[1]-t[1]}function i(){_&&_.domain(M.range().map(function(n){return(n-S.x)/S.k}).map(M.invert)),w&&w.domain(b.range().map(function(n){return(n-S.y)/S.k}).map(b.invert))}function o(n){n({type:"zoomstart"})}function a(n){i(),n({type:"zoom",scale:S.k,translate:[S.x,S.y]})}function c(n){n({type:"zoomend"})}function s(){function n(){l=1,u(Xo.mouse(r),g),a(i)}function e(){f.on(C,Go===r?h:null).on(N,null),p(l&&Xo.event.target===s),c(i)}var r=this,i=z.of(r,arguments),s=Xo.event.target,l=0,f=Xo.select(Go).on(C,n).on(N,e),g=t(Xo.mouse(r)),p=O();U.call(r),o(i)}function l(){function n(){var n=Xo.touches(g);return h=S.k,n.forEach(function(n){n.identifier in v&&(v[n.identifier]=t(n))}),n}function e(){for(var t=Xo.event.changedTouches,e=0,i=t.length;i>e;++e)v[t[e].identifier]=null;var o=n(),c=Date.now();if(1===o.length){if(500>c-x){var s=o[0],l=v[s.identifier];r(2*S.k),u(s,l),d(),a(p)}x=c}else if(o.length>1){var s=o[0],f=o[1],h=s[0]-f[0],g=s[1]-f[1];m=h*h+g*g}}function i(){for(var n,t,e,i,o=Xo.touches(g),c=0,s=o.length;s>c;++c,i=null)if(e=o[c],i=v[e.identifier]){if(t)break;n=e,t=i}if(i){var l=(l=e[0]-n[0])*l+(l=e[1]-n[1])*l,f=m&&Math.sqrt(l/m);n=[(n[0]+e[0])/2,(n[1]+e[1])/2],t=[(t[0]+i[0])/2,(t[1]+i[1])/2],r(f*h)}x=null,u(n,t),a(p)}function f(){if(Xo.event.touches.length){for(var t=Xo.event.changedTouches,e=0,r=t.length;r>e;++e)delete v[t[e].identifier];for(var u in v)return void n()}b.on(M,null).on(_,null),w.on(A,s).on(L,l),k(),c(p)}var h,g=this,p=z.of(g,arguments),v={},m=0,y=Xo.event.changedTouches[0].identifier,M="touchmove.zoom-"+y,_="touchend.zoom-"+y,b=Xo.select(Go).on(M,i).on(_,f),w=Xo.select(g).on(A,null).on(L,e),k=O();U.call(g),e(),o(p)}function f(){var n=z.of(this,arguments);m?clearTimeout(m):(U.call(this),o(n)),m=setTimeout(function(){m=null,c(n)},50),d();var e=v||Xo.mouse(this);p||(p=t(e)),r(Math.pow(2,.002*Ra())*S.k),u(e,p),a(n)}function h(){p=null}function g(){var n=z.of(this,arguments),e=Xo.mouse(this),i=t(e),s=Math.log(S.k)/Math.LN2;o(n),r(Math.pow(2,Xo.event.shiftKey?Math.ceil(s)-1:Math.floor(s)+1)),u(e,i),a(n),c(n)}var p,v,m,x,M,_,b,w,S={x:0,y:0,k:1},k=[960,500],E=Da,A="mousedown.zoom",C="mousemove.zoom",N="mouseup.zoom",L="touchstart.zoom",z=y(n,"zoomstart","zoom","zoomend");return n.event=function(n){n.each(function(){var n=z.of(this,arguments),t=S;ks?Xo.select(this).transition().each("start.zoom",function(){S=this.__chart__||{x:0,y:0,k:1},o(n)}).tween("zoom:zoom",function(){var e=k[0],r=k[1],u=e/2,i=r/2,o=Xo.interpolateZoom([(u-S.x)/S.k,(i-S.y)/S.k,e/S.k],[(u-t.x)/t.k,(i-t.y)/t.k,e/t.k]);return function(t){var r=o(t),c=e/r[2];this.__chart__=S={x:u-r[0]*c,y:i-r[1]*c,k:c},a(n)}}).each("end.zoom",function(){c(n)}):(this.__chart__=S,o(n),a(n),c(n))})},n.translate=function(t){return arguments.length?(S={x:+t[0],y:+t[1],k:S.k},i(),n):[S.x,S.y]},n.scale=function(t){return arguments.length?(S={x:S.x,y:S.y,k:+t},i(),n):S.k},n.scaleExtent=function(t){return arguments.length?(E=null==t?Da:[+t[0],+t[1]],n):E},n.center=function(t){return arguments.length?(v=t&&[+t[0],+t[1]],n):v},n.size=function(t){return arguments.length?(k=t&&[+t[0],+t[1]],n):k},n.x=function(t){return arguments.length?(_=t,M=t.copy(),S={x:0,y:0,k:1},n):_},n.y=function(t){return arguments.length?(w=t,b=t.copy(),S={x:0,y:0,k:1},n):w},Xo.rebind(n,z,"on")};var Ra,Da=[0,1/0],Pa="onwheel"in Wo?(Ra=function(){return-Xo.event.deltaY*(Xo.event.deltaMode?120:1)},"wheel"):"onmousewheel"in Wo?(Ra=function(){return Xo.event.wheelDelta},"mousewheel"):(Ra=function(){return-Xo.event.detail},"MozMousePixelScroll");G.prototype.toString=function(){return this.rgb()+""},Xo.hsl=function(n,t,e){return 1===arguments.length?n instanceof Q?K(n.h,n.s,n.l):dt(""+n,mt,K):K(+n,+t,+e)};var Ua=Q.prototype=new G;Ua.brighter=function(n){return n=Math.pow(.7,arguments.length?n:1),K(this.h,this.s,this.l/n)},Ua.darker=function(n){return n=Math.pow(.7,arguments.length?n:1),K(this.h,this.s,n*this.l)},Ua.rgb=function(){return nt(this.h,this.s,this.l)},Xo.hcl=function(n,t,e){return 1===arguments.length?n instanceof et?tt(n.h,n.c,n.l):n instanceof it?at(n.l,n.a,n.b):at((n=yt((n=Xo.rgb(n)).r,n.g,n.b)).l,n.a,n.b):tt(+n,+t,+e)};var ja=et.prototype=new G;ja.brighter=function(n){return tt(this.h,this.c,Math.min(100,this.l+Ha*(arguments.length?n:1)))},ja.darker=function(n){return tt(this.h,this.c,Math.max(0,this.l-Ha*(arguments.length?n:1)))},ja.rgb=function(){return rt(this.h,this.c,this.l).rgb()},Xo.lab=function(n,t,e){return 1===arguments.length?n instanceof it?ut(n.l,n.a,n.b):n instanceof et?rt(n.l,n.c,n.h):yt((n=Xo.rgb(n)).r,n.g,n.b):ut(+n,+t,+e)};var Ha=18,Fa=.95047,Oa=1,Ya=1.08883,Ia=it.prototype=new G;Ia.brighter=function(n){return ut(Math.min(100,this.l+Ha*(arguments.length?n:1)),this.a,this.b)},Ia.darker=function(n){return ut(Math.max(0,this.l-Ha*(arguments.length?n:1)),this.a,this.b)},Ia.rgb=function(){return ot(this.l,this.a,this.b)},Xo.rgb=function(n,t,e){return 1===arguments.length?n instanceof pt?gt(n.r,n.g,n.b):dt(""+n,gt,nt):gt(~~n,~~t,~~e)};var Za=pt.prototype=new G;Za.brighter=function(n){n=Math.pow(.7,arguments.length?n:1);var t=this.r,e=this.g,r=this.b,u=30;return t||e||r?(t&&u>t&&(t=u),e&&u>e&&(e=u),r&&u>r&&(r=u),gt(Math.min(255,~~(t/n)),Math.min(255,~~(e/n)),Math.min(255,~~(r/n)))):gt(u,u,u)},Za.darker=function(n){return n=Math.pow(.7,arguments.length?n:1),gt(~~(n*this.r),~~(n*this.g),~~(n*this.b))},Za.hsl=function(){return mt(this.r,this.g,this.b)},Za.toString=function(){return"#"+vt(this.r)+vt(this.g)+vt(this.b)};var Va=Xo.map({aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074});Va.forEach(function(n,t){Va.set(n,ft(t))}),Xo.functor=_t,Xo.xhr=wt(bt),Xo.dsv=function(n,t){function e(n,e,i){arguments.length<3&&(i=e,e=null);var o=St(n,t,null==e?r:u(e),i);return o.row=function(n){return arguments.length?o.response(null==(e=n)?r:u(n)):e},o}function r(n){return e.parse(n.responseText)}function u(n){return function(t){return e.parse(t.responseText,n)}}function i(t){return t.map(o).join(n)}function o(n){return a.test(n)?'"'+n.replace(/\"/g,'""')+'"':n}var a=new RegExp('["'+n+"\n]"),c=n.charCodeAt(0);return e.parse=function(n,t){var r;return e.parseRows(n,function(n,e){if(r)return r(n,e-1);var u=new Function("d","return {"+n.map(function(n,t){return JSON.stringify(n)+": d["+t+"]"}).join(",")+"}");r=t?function(n,e){return t(u(n),e)}:u})},e.parseRows=function(n,t){function e(){if(l>=s)return o;if(u)return u=!1,i;var t=l;if(34===n.charCodeAt(t)){for(var e=t;e++<s;)if(34===n.charCodeAt(e)){if(34!==n.charCodeAt(e+1))break;++e}l=e+2;var r=n.charCodeAt(e+1);return 13===r?(u=!0,10===n.charCodeAt(e+2)&&++l):10===r&&(u=!0),n.substring(t+1,e).replace(/""/g,'"')}for(;s>l;){var r=n.charCodeAt(l++),a=1;if(10===r)u=!0;else if(13===r)u=!0,10===n.charCodeAt(l)&&(++l,++a);else if(r!==c)continue;return n.substring(t,l-a)}return n.substring(t)}for(var r,u,i={},o={},a=[],s=n.length,l=0,f=0;(r=e())!==o;){for(var h=[];r!==i&&r!==o;)h.push(r),r=e();(!t||(h=t(h,f++)))&&a.push(h)}return a},e.format=function(t){if(Array.isArray(t[0]))return e.formatRows(t);var r=new l,u=[];return t.forEach(function(n){for(var t in n)r.has(t)||u.push(r.add(t))}),[u.map(o).join(n)].concat(t.map(function(t){return u.map(function(n){return o(t[n])}).join(n)})).join("\n")},e.formatRows=function(n){return n.map(i).join("\n")},e},Xo.csv=Xo.dsv(",","text/csv"),Xo.tsv=Xo.dsv(" ","text/tab-separated-values");var Xa,$a,Ba,Wa,Ja,Ga=Go[h(Go,"requestAnimationFrame")]||function(n){setTimeout(n,17)};Xo.timer=function(n,t,e){var r=arguments.length;2>r&&(t=0),3>r&&(e=Date.now());var u=e+t,i={c:n,t:u,f:!1,n:null};$a?$a.n=i:Xa=i,$a=i,Ba||(Wa=clearTimeout(Wa),Ba=1,Ga(Et))},Xo.timer.flush=function(){At(),Ct()},Xo.round=function(n,t){return t?Math.round(n*(t=Math.pow(10,t)))/t:Math.round(n)};var Ka=["y","z","a","f","p","n","\xb5","m","","k","M","G","T","P","E","Z","Y"].map(Lt);Xo.formatPrefix=function(n,t){var e=0;return n&&(0>n&&(n*=-1),t&&(n=Xo.round(n,Nt(n,t))),e=1+Math.floor(1e-12+Math.log(n)/Math.LN10),e=Math.max(-24,Math.min(24,3*Math.floor((0>=e?e+1:e-1)/3)))),Ka[8+e/3]};var Qa=/(?:([^{])?([<>=^]))?([+\- ])?([$#])?(0)?(\d+)?(,)?(\.-?\d+)?([a-z%])?/i,nc=Xo.map({b:function(n){return n.toString(2)},c:function(n){return String.fromCharCode(n)},o:function(n){return n.toString(8)},x:function(n){return n.toString(16)},X:function(n){return n.toString(16).toUpperCase()},g:function(n,t){return n.toPrecision(t)},e:function(n,t){return n.toExponential(t)},f:function(n,t){return n.toFixed(t)},r:function(n,t){return(n=Xo.round(n,Nt(n,t))).toFixed(Math.max(0,Math.min(20,Nt(n*(1+1e-15),t))))}}),tc=Xo.time={},ec=Date;Tt.prototype={getDate:function(){return this._.getUTCDate()},getDay:function(){return this._.getUTCDay()},getFullYear:function(){return this._.getUTCFullYear()},getHours:function(){return this._.getUTCHours()},getMilliseconds:function(){return this._.getUTCMilliseconds()},getMinutes:function(){return this._.getUTCMinutes()},getMonth:function(){return this._.getUTCMonth()},getSeconds:function(){return this._.getUTCSeconds()},getTime:function(){return this._.getTime()},getTimezoneOffset:function(){return 0},valueOf:function(){return this._.valueOf()},setDate:function(){rc.setUTCDate.apply(this._,arguments)},setDay:function(){rc.setUTCDay.apply(this._,arguments)},setFullYear:function(){rc.setUTCFullYear.apply(this._,arguments)},setHours:function(){rc.setUTCHours.apply(this._,arguments)},setMilliseconds:function(){rc.setUTCMilliseconds.apply(this._,arguments)},setMinutes:function(){rc.setUTCMinutes.apply(this._,arguments)},setMonth:function(){rc.setUTCMonth.apply(this._,arguments)},setSeconds:function(){rc.setUTCSeconds.apply(this._,arguments)},setTime:function(){rc.setTime.apply(this._,arguments)}};var rc=Date.prototype;tc.year=Rt(function(n){return n=tc.day(n),n.setMonth(0,1),n},function(n,t){n.setFullYear(n.getFullYear()+t)},function(n){return n.getFullYear()}),tc.years=tc.year.range,tc.years.utc=tc.year.utc.range,tc.day=Rt(function(n){var t=new ec(2e3,0);return t.setFullYear(n.getFullYear(),n.getMonth(),n.getDate()),t},function(n,t){n.setDate(n.getDate()+t)},function(n){return n.getDate()-1}),tc.days=tc.day.range,tc.days.utc=tc.day.utc.range,tc.dayOfYear=function(n){var t=tc.year(n);return Math.floor((n-t-6e4*(n.getTimezoneOffset()-t.getTimezoneOffset()))/864e5)},["sunday","monday","tuesday","wednesday","thursday","friday","saturday"].forEach(function(n,t){t=7-t;var e=tc[n]=Rt(function(n){return(n=tc.day(n)).setDate(n.getDate()-(n.getDay()+t)%7),n},function(n,t){n.setDate(n.getDate()+7*Math.floor(t))},function(n){var e=tc.year(n).getDay();return Math.floor((tc.dayOfYear(n)+(e+t)%7)/7)-(e!==t)});tc[n+"s"]=e.range,tc[n+"s"].utc=e.utc.range,tc[n+"OfYear"]=function(n){var e=tc.year(n).getDay();return Math.floor((tc.dayOfYear(n)+(e+t)%7)/7)}}),tc.week=tc.sunday,tc.weeks=tc.sunday.range,tc.weeks.utc=tc.sunday.utc.range,tc.weekOfYear=tc.sundayOfYear;var uc={"-":"",_:" ",0:"0"},ic=/^\s*\d+/,oc=/^%/;Xo.locale=function(n){return{numberFormat:zt(n),timeFormat:Pt(n)}};var ac=Xo.locale({decimal:".",thousands:",",grouping:[3],currency:["$",""],dateTime:"%a %b %e %X %Y",date:"%m/%d/%Y",time:"%H:%M:%S",periods:["AM","PM"],days:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],shortDays:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],months:["January","February","March","April","May","June","July","August","September","October","November","December"],shortMonths:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"]});Xo.format=ac.numberFormat,Xo.geo={},re.prototype={s:0,t:0,add:function(n){ue(n,this.t,cc),ue(cc.s,this.s,this),this.s?this.t+=cc.t:this.s=cc.t},reset:function(){this.s=this.t=0},valueOf:function(){return this.s}};var cc=new re;Xo.geo.stream=function(n,t){n&&sc.hasOwnProperty(n.type)?sc[n.type](n,t):ie(n,t)};var sc={Feature:function(n,t){ie(n.geometry,t)},FeatureCollection:function(n,t){for(var e=n.features,r=-1,u=e.length;++r<u;)ie(e[r].geometry,t)}},lc={Sphere:function(n,t){t.sphere()},Point:function(n,t){n=n.coordinates,t.point(n[0],n[1],n[2])},MultiPoint:function(n,t){for(var e=n.coordinates,r=-1,u=e.length;++r<u;)n=e[r],t.point(n[0],n[1],n[2])},LineString:function(n,t){oe(n.coordinates,t,0)},MultiLineString:function(n,t){for(var e=n.coordinates,r=-1,u=e.length;++r<u;)oe(e[r],t,0)},Polygon:function(n,t){ae(n.coordinates,t)},MultiPolygon:function(n,t){for(var e=n.coordinates,r=-1,u=e.length;++r<u;)ae(e[r],t)},GeometryCollection:function(n,t){for(var e=n.geometries,r=-1,u=e.length;++r<u;)ie(e[r],t)}};Xo.geo.area=function(n){return fc=0,Xo.geo.stream(n,gc),fc};var fc,hc=new re,gc={sphere:function(){fc+=4*Sa},point:g,lineStart:g,lineEnd:g,polygonStart:function(){hc.reset(),gc.lineStart=ce},polygonEnd:function(){var n=2*hc;fc+=0>n?4*Sa+n:n,gc.lineStart=gc.lineEnd=gc.point=g}};Xo.geo.bounds=function(){function n(n,t){x.push(M=[l=n,h=n]),f>t&&(f=t),t>g&&(g=t)}function t(t,e){var r=se([t*Na,e*Na]);if(m){var u=fe(m,r),i=[u[1],-u[0],0],o=fe(i,u);pe(o),o=ve(o);var c=t-p,s=c>0?1:-1,v=o[0]*La*s,d=oa(c)>180;if(d^(v>s*p&&s*t>v)){var y=o[1]*La;y>g&&(g=y)}else if(v=(v+360)%360-180,d^(v>s*p&&s*t>v)){var y=-o[1]*La;f>y&&(f=y)}else f>e&&(f=e),e>g&&(g=e);d?p>t?a(l,t)>a(l,h)&&(h=t):a(t,h)>a(l,h)&&(l=t):h>=l?(l>t&&(l=t),t>h&&(h=t)):t>p?a(l,t)>a(l,h)&&(h=t):a(t,h)>a(l,h)&&(l=t)}else n(t,e);m=r,p=t}function e(){_.point=t}function r(){M[0]=l,M[1]=h,_.point=n,m=null}function u(n,e){if(m){var r=n-p;y+=oa(r)>180?r+(r>0?360:-360):r}else v=n,d=e;gc.point(n,e),t(n,e)}function i(){gc.lineStart()}function o(){u(v,d),gc.lineEnd(),oa(y)>Aa&&(l=-(h=180)),M[0]=l,M[1]=h,m=null}function a(n,t){return(t-=n)<0?t+360:t}function c(n,t){return n[0]-t[0]}function s(n,t){return t[0]<=t[1]?t[0]<=n&&n<=t[1]:n<t[0]||t[1]<n}var l,f,h,g,p,v,d,m,y,x,M,_={point:n,lineStart:e,lineEnd:r,polygonStart:function(){_.point=u,_.lineStart=i,_.lineEnd=o,y=0,gc.polygonStart()},polygonEnd:function(){gc.polygonEnd(),_.point=n,_.lineStart=e,_.lineEnd=r,0>hc?(l=-(h=180),f=-(g=90)):y>Aa?g=90:-Aa>y&&(f=-90),M[0]=l,M[1]=h
}};return function(n){g=h=-(l=f=1/0),x=[],Xo.geo.stream(n,_);var t=x.length;if(t){x.sort(c);for(var e,r=1,u=x[0],i=[u];t>r;++r)e=x[r],s(e[0],u)||s(e[1],u)?(a(u[0],e[1])>a(u[0],u[1])&&(u[1]=e[1]),a(e[0],u[1])>a(u[0],u[1])&&(u[0]=e[0])):i.push(u=e);for(var o,e,p=-1/0,t=i.length-1,r=0,u=i[t];t>=r;u=e,++r)e=i[r],(o=a(u[1],e[0]))>p&&(p=o,l=e[0],h=u[1])}return x=M=null,1/0===l||1/0===f?[[0/0,0/0],[0/0,0/0]]:[[l,f],[h,g]]}}(),Xo.geo.centroid=function(n){pc=vc=dc=mc=yc=xc=Mc=_c=bc=wc=Sc=0,Xo.geo.stream(n,kc);var t=bc,e=wc,r=Sc,u=t*t+e*e+r*r;return Ca>u&&(t=xc,e=Mc,r=_c,Aa>vc&&(t=dc,e=mc,r=yc),u=t*t+e*e+r*r,Ca>u)?[0/0,0/0]:[Math.atan2(e,t)*La,X(r/Math.sqrt(u))*La]};var pc,vc,dc,mc,yc,xc,Mc,_c,bc,wc,Sc,kc={sphere:g,point:me,lineStart:xe,lineEnd:Me,polygonStart:function(){kc.lineStart=_e},polygonEnd:function(){kc.lineStart=xe}},Ec=Ee(be,ze,Te,[-Sa,-Sa/2]),Ac=1e9;Xo.geo.clipExtent=function(){var n,t,e,r,u,i,o={stream:function(n){return u&&(u.valid=!1),u=i(n),u.valid=!0,u},extent:function(a){return arguments.length?(i=Pe(n=+a[0][0],t=+a[0][1],e=+a[1][0],r=+a[1][1]),u&&(u.valid=!1,u=null),o):[[n,t],[e,r]]}};return o.extent([[0,0],[960,500]])},(Xo.geo.conicEqualArea=function(){return je(He)}).raw=He,Xo.geo.albers=function(){return Xo.geo.conicEqualArea().rotate([96,0]).center([-.6,38.7]).parallels([29.5,45.5]).scale(1070)},Xo.geo.albersUsa=function(){function n(n){var i=n[0],o=n[1];return t=null,e(i,o),t||(r(i,o),t)||u(i,o),t}var t,e,r,u,i=Xo.geo.albers(),o=Xo.geo.conicEqualArea().rotate([154,0]).center([-2,58.5]).parallels([55,65]),a=Xo.geo.conicEqualArea().rotate([157,0]).center([-3,19.9]).parallels([8,18]),c={point:function(n,e){t=[n,e]}};return n.invert=function(n){var t=i.scale(),e=i.translate(),r=(n[0]-e[0])/t,u=(n[1]-e[1])/t;return(u>=.12&&.234>u&&r>=-.425&&-.214>r?o:u>=.166&&.234>u&&r>=-.214&&-.115>r?a:i).invert(n)},n.stream=function(n){var t=i.stream(n),e=o.stream(n),r=a.stream(n);return{point:function(n,u){t.point(n,u),e.point(n,u),r.point(n,u)},sphere:function(){t.sphere(),e.sphere(),r.sphere()},lineStart:function(){t.lineStart(),e.lineStart(),r.lineStart()},lineEnd:function(){t.lineEnd(),e.lineEnd(),r.lineEnd()},polygonStart:function(){t.polygonStart(),e.polygonStart(),r.polygonStart()},polygonEnd:function(){t.polygonEnd(),e.polygonEnd(),r.polygonEnd()}}},n.precision=function(t){return arguments.length?(i.precision(t),o.precision(t),a.precision(t),n):i.precision()},n.scale=function(t){return arguments.length?(i.scale(t),o.scale(.35*t),a.scale(t),n.translate(i.translate())):i.scale()},n.translate=function(t){if(!arguments.length)return i.translate();var s=i.scale(),l=+t[0],f=+t[1];return e=i.translate(t).clipExtent([[l-.455*s,f-.238*s],[l+.455*s,f+.238*s]]).stream(c).point,r=o.translate([l-.307*s,f+.201*s]).clipExtent([[l-.425*s+Aa,f+.12*s+Aa],[l-.214*s-Aa,f+.234*s-Aa]]).stream(c).point,u=a.translate([l-.205*s,f+.212*s]).clipExtent([[l-.214*s+Aa,f+.166*s+Aa],[l-.115*s-Aa,f+.234*s-Aa]]).stream(c).point,n},n.scale(1070)};var Cc,Nc,Lc,zc,qc,Tc,Rc={point:g,lineStart:g,lineEnd:g,polygonStart:function(){Nc=0,Rc.lineStart=Fe},polygonEnd:function(){Rc.lineStart=Rc.lineEnd=Rc.point=g,Cc+=oa(Nc/2)}},Dc={point:Oe,lineStart:g,lineEnd:g,polygonStart:g,polygonEnd:g},Pc={point:Ze,lineStart:Ve,lineEnd:Xe,polygonStart:function(){Pc.lineStart=$e},polygonEnd:function(){Pc.point=Ze,Pc.lineStart=Ve,Pc.lineEnd=Xe}};Xo.geo.path=function(){function n(n){return n&&("function"==typeof a&&i.pointRadius(+a.apply(this,arguments)),o&&o.valid||(o=u(i)),Xo.geo.stream(n,o)),i.result()}function t(){return o=null,n}var e,r,u,i,o,a=4.5;return n.area=function(n){return Cc=0,Xo.geo.stream(n,u(Rc)),Cc},n.centroid=function(n){return dc=mc=yc=xc=Mc=_c=bc=wc=Sc=0,Xo.geo.stream(n,u(Pc)),Sc?[bc/Sc,wc/Sc]:_c?[xc/_c,Mc/_c]:yc?[dc/yc,mc/yc]:[0/0,0/0]},n.bounds=function(n){return qc=Tc=-(Lc=zc=1/0),Xo.geo.stream(n,u(Dc)),[[Lc,zc],[qc,Tc]]},n.projection=function(n){return arguments.length?(u=(e=n)?n.stream||Je(n):bt,t()):e},n.context=function(n){return arguments.length?(i=null==(r=n)?new Ye:new Be(n),"function"!=typeof a&&i.pointRadius(a),t()):r},n.pointRadius=function(t){return arguments.length?(a="function"==typeof t?t:(i.pointRadius(+t),+t),n):a},n.projection(Xo.geo.albersUsa()).context(null)},Xo.geo.transform=function(n){return{stream:function(t){var e=new Ge(t);for(var r in n)e[r]=n[r];return e}}},Ge.prototype={point:function(n,t){this.stream.point(n,t)},sphere:function(){this.stream.sphere()},lineStart:function(){this.stream.lineStart()},lineEnd:function(){this.stream.lineEnd()},polygonStart:function(){this.stream.polygonStart()},polygonEnd:function(){this.stream.polygonEnd()}},Xo.geo.projection=Qe,Xo.geo.projectionMutator=nr,(Xo.geo.equirectangular=function(){return Qe(er)}).raw=er.invert=er,Xo.geo.rotation=function(n){function t(t){return t=n(t[0]*Na,t[1]*Na),t[0]*=La,t[1]*=La,t}return n=ur(n[0]%360*Na,n[1]*Na,n.length>2?n[2]*Na:0),t.invert=function(t){return t=n.invert(t[0]*Na,t[1]*Na),t[0]*=La,t[1]*=La,t},t},rr.invert=er,Xo.geo.circle=function(){function n(){var n="function"==typeof r?r.apply(this,arguments):r,t=ur(-n[0]*Na,-n[1]*Na,0).invert,u=[];return e(null,null,1,{point:function(n,e){u.push(n=t(n,e)),n[0]*=La,n[1]*=La}}),{type:"Polygon",coordinates:[u]}}var t,e,r=[0,0],u=6;return n.origin=function(t){return arguments.length?(r=t,n):r},n.angle=function(r){return arguments.length?(e=cr((t=+r)*Na,u*Na),n):t},n.precision=function(r){return arguments.length?(e=cr(t*Na,(u=+r)*Na),n):u},n.angle(90)},Xo.geo.distance=function(n,t){var e,r=(t[0]-n[0])*Na,u=n[1]*Na,i=t[1]*Na,o=Math.sin(r),a=Math.cos(r),c=Math.sin(u),s=Math.cos(u),l=Math.sin(i),f=Math.cos(i);return Math.atan2(Math.sqrt((e=f*o)*e+(e=s*l-c*f*a)*e),c*l+s*f*a)},Xo.geo.graticule=function(){function n(){return{type:"MultiLineString",coordinates:t()}}function t(){return Xo.range(Math.ceil(i/d)*d,u,d).map(h).concat(Xo.range(Math.ceil(s/m)*m,c,m).map(g)).concat(Xo.range(Math.ceil(r/p)*p,e,p).filter(function(n){return oa(n%d)>Aa}).map(l)).concat(Xo.range(Math.ceil(a/v)*v,o,v).filter(function(n){return oa(n%m)>Aa}).map(f))}var e,r,u,i,o,a,c,s,l,f,h,g,p=10,v=p,d=90,m=360,y=2.5;return n.lines=function(){return t().map(function(n){return{type:"LineString",coordinates:n}})},n.outline=function(){return{type:"Polygon",coordinates:[h(i).concat(g(c).slice(1),h(u).reverse().slice(1),g(s).reverse().slice(1))]}},n.extent=function(t){return arguments.length?n.majorExtent(t).minorExtent(t):n.minorExtent()},n.majorExtent=function(t){return arguments.length?(i=+t[0][0],u=+t[1][0],s=+t[0][1],c=+t[1][1],i>u&&(t=i,i=u,u=t),s>c&&(t=s,s=c,c=t),n.precision(y)):[[i,s],[u,c]]},n.minorExtent=function(t){return arguments.length?(r=+t[0][0],e=+t[1][0],a=+t[0][1],o=+t[1][1],r>e&&(t=r,r=e,e=t),a>o&&(t=a,a=o,o=t),n.precision(y)):[[r,a],[e,o]]},n.step=function(t){return arguments.length?n.majorStep(t).minorStep(t):n.minorStep()},n.majorStep=function(t){return arguments.length?(d=+t[0],m=+t[1],n):[d,m]},n.minorStep=function(t){return arguments.length?(p=+t[0],v=+t[1],n):[p,v]},n.precision=function(t){return arguments.length?(y=+t,l=lr(a,o,90),f=fr(r,e,y),h=lr(s,c,90),g=fr(i,u,y),n):y},n.majorExtent([[-180,-90+Aa],[180,90-Aa]]).minorExtent([[-180,-80-Aa],[180,80+Aa]])},Xo.geo.greatArc=function(){function n(){return{type:"LineString",coordinates:[t||r.apply(this,arguments),e||u.apply(this,arguments)]}}var t,e,r=hr,u=gr;return n.distance=function(){return Xo.geo.distance(t||r.apply(this,arguments),e||u.apply(this,arguments))},n.source=function(e){return arguments.length?(r=e,t="function"==typeof e?null:e,n):r},n.target=function(t){return arguments.length?(u=t,e="function"==typeof t?null:t,n):u},n.precision=function(){return arguments.length?n:0},n},Xo.geo.interpolate=function(n,t){return pr(n[0]*Na,n[1]*Na,t[0]*Na,t[1]*Na)},Xo.geo.length=function(n){return Uc=0,Xo.geo.stream(n,jc),Uc};var Uc,jc={sphere:g,point:g,lineStart:vr,lineEnd:g,polygonStart:g,polygonEnd:g},Hc=dr(function(n){return Math.sqrt(2/(1+n))},function(n){return 2*Math.asin(n/2)});(Xo.geo.azimuthalEqualArea=function(){return Qe(Hc)}).raw=Hc;var Fc=dr(function(n){var t=Math.acos(n);return t&&t/Math.sin(t)},bt);(Xo.geo.azimuthalEquidistant=function(){return Qe(Fc)}).raw=Fc,(Xo.geo.conicConformal=function(){return je(mr)}).raw=mr,(Xo.geo.conicEquidistant=function(){return je(yr)}).raw=yr;var Oc=dr(function(n){return 1/n},Math.atan);(Xo.geo.gnomonic=function(){return Qe(Oc)}).raw=Oc,xr.invert=function(n,t){return[n,2*Math.atan(Math.exp(t))-Ea]},(Xo.geo.mercator=function(){return Mr(xr)}).raw=xr;var Yc=dr(function(){return 1},Math.asin);(Xo.geo.orthographic=function(){return Qe(Yc)}).raw=Yc;var Ic=dr(function(n){return 1/(1+n)},function(n){return 2*Math.atan(n)});(Xo.geo.stereographic=function(){return Qe(Ic)}).raw=Ic,_r.invert=function(n,t){return[-t,2*Math.atan(Math.exp(n))-Ea]},(Xo.geo.transverseMercator=function(){var n=Mr(_r),t=n.center,e=n.rotate;return n.center=function(n){return n?t([-n[1],n[0]]):(n=t(),[-n[1],n[0]])},n.rotate=function(n){return n?e([n[0],n[1],n.length>2?n[2]+90:90]):(n=e(),[n[0],n[1],n[2]-90])},n.rotate([0,0])}).raw=_r,Xo.geom={},Xo.geom.hull=function(n){function t(n){if(n.length<3)return[];var t,u=_t(e),i=_t(r),o=n.length,a=[],c=[];for(t=0;o>t;t++)a.push([+u.call(this,n[t],t),+i.call(this,n[t],t),t]);for(a.sort(kr),t=0;o>t;t++)c.push([a[t][0],-a[t][1]]);var s=Sr(a),l=Sr(c),f=l[0]===s[0],h=l[l.length-1]===s[s.length-1],g=[];for(t=s.length-1;t>=0;--t)g.push(n[a[s[t]][2]]);for(t=+f;t<l.length-h;++t)g.push(n[a[l[t]][2]]);return g}var e=br,r=wr;return arguments.length?t(n):(t.x=function(n){return arguments.length?(e=n,t):e},t.y=function(n){return arguments.length?(r=n,t):r},t)},Xo.geom.polygon=function(n){return fa(n,Zc),n};var Zc=Xo.geom.polygon.prototype=[];Zc.area=function(){for(var n,t=-1,e=this.length,r=this[e-1],u=0;++t<e;)n=r,r=this[t],u+=n[1]*r[0]-n[0]*r[1];return.5*u},Zc.centroid=function(n){var t,e,r=-1,u=this.length,i=0,o=0,a=this[u-1];for(arguments.length||(n=-1/(6*this.area()));++r<u;)t=a,a=this[r],e=t[0]*a[1]-a[0]*t[1],i+=(t[0]+a[0])*e,o+=(t[1]+a[1])*e;return[i*n,o*n]},Zc.clip=function(n){for(var t,e,r,u,i,o,a=Cr(n),c=-1,s=this.length-Cr(this),l=this[s-1];++c<s;){for(t=n.slice(),n.length=0,u=this[c],i=t[(r=t.length-a)-1],e=-1;++e<r;)o=t[e],Er(o,l,u)?(Er(i,l,u)||n.push(Ar(i,o,l,u)),n.push(o)):Er(i,l,u)&&n.push(Ar(i,o,l,u)),i=o;a&&n.push(n[0]),l=u}return n};var Vc,Xc,$c,Bc,Wc,Jc=[],Gc=[];Pr.prototype.prepare=function(){for(var n,t=this.edges,e=t.length;e--;)n=t[e].edge,n.b&&n.a||t.splice(e,1);return t.sort(jr),t.length},Br.prototype={start:function(){return this.edge.l===this.site?this.edge.a:this.edge.b},end:function(){return this.edge.l===this.site?this.edge.b:this.edge.a}},Wr.prototype={insert:function(n,t){var e,r,u;if(n){if(t.P=n,t.N=n.N,n.N&&(n.N.P=t),n.N=t,n.R){for(n=n.R;n.L;)n=n.L;n.L=t}else n.R=t;e=n}else this._?(n=Qr(this._),t.P=null,t.N=n,n.P=n.L=t,e=n):(t.P=t.N=null,this._=t,e=null);for(t.L=t.R=null,t.U=e,t.C=!0,n=t;e&&e.C;)r=e.U,e===r.L?(u=r.R,u&&u.C?(e.C=u.C=!1,r.C=!0,n=r):(n===e.R&&(Gr(this,e),n=e,e=n.U),e.C=!1,r.C=!0,Kr(this,r))):(u=r.L,u&&u.C?(e.C=u.C=!1,r.C=!0,n=r):(n===e.L&&(Kr(this,e),n=e,e=n.U),e.C=!1,r.C=!0,Gr(this,r))),e=n.U;this._.C=!1},remove:function(n){n.N&&(n.N.P=n.P),n.P&&(n.P.N=n.N),n.N=n.P=null;var t,e,r,u=n.U,i=n.L,o=n.R;if(e=i?o?Qr(o):i:o,u?u.L===n?u.L=e:u.R=e:this._=e,i&&o?(r=e.C,e.C=n.C,e.L=i,i.U=e,e!==o?(u=e.U,e.U=n.U,n=e.R,u.L=n,e.R=o,o.U=e):(e.U=u,u=e,n=e.R)):(r=n.C,n=e),n&&(n.U=u),!r){if(n&&n.C)return n.C=!1,void 0;do{if(n===this._)break;if(n===u.L){if(t=u.R,t.C&&(t.C=!1,u.C=!0,Gr(this,u),t=u.R),t.L&&t.L.C||t.R&&t.R.C){t.R&&t.R.C||(t.L.C=!1,t.C=!0,Kr(this,t),t=u.R),t.C=u.C,u.C=t.R.C=!1,Gr(this,u),n=this._;break}}else if(t=u.L,t.C&&(t.C=!1,u.C=!0,Kr(this,u),t=u.L),t.L&&t.L.C||t.R&&t.R.C){t.L&&t.L.C||(t.R.C=!1,t.C=!0,Gr(this,t),t=u.L),t.C=u.C,u.C=t.L.C=!1,Kr(this,u),n=this._;break}t.C=!0,n=u,u=u.U}while(!n.C);n&&(n.C=!1)}}},Xo.geom.voronoi=function(n){function t(n){var t=new Array(n.length),r=a[0][0],u=a[0][1],i=a[1][0],o=a[1][1];return nu(e(n),a).cells.forEach(function(e,a){var c=e.edges,s=e.site,l=t[a]=c.length?c.map(function(n){var t=n.start();return[t.x,t.y]}):s.x>=r&&s.x<=i&&s.y>=u&&s.y<=o?[[r,o],[i,o],[i,u],[r,u]]:[];l.point=n[a]}),t}function e(n){return n.map(function(n,t){return{x:Math.round(i(n,t)/Aa)*Aa,y:Math.round(o(n,t)/Aa)*Aa,i:t}})}var r=br,u=wr,i=r,o=u,a=Kc;return n?t(n):(t.links=function(n){return nu(e(n)).edges.filter(function(n){return n.l&&n.r}).map(function(t){return{source:n[t.l.i],target:n[t.r.i]}})},t.triangles=function(n){var t=[];return nu(e(n)).cells.forEach(function(e,r){for(var u,i,o=e.site,a=e.edges.sort(jr),c=-1,s=a.length,l=a[s-1].edge,f=l.l===o?l.r:l.l;++c<s;)u=l,i=f,l=a[c].edge,f=l.l===o?l.r:l.l,r<i.i&&r<f.i&&eu(o,i,f)<0&&t.push([n[r],n[i.i],n[f.i]])}),t},t.x=function(n){return arguments.length?(i=_t(r=n),t):r},t.y=function(n){return arguments.length?(o=_t(u=n),t):u},t.clipExtent=function(n){return arguments.length?(a=null==n?Kc:n,t):a===Kc?null:a},t.size=function(n){return arguments.length?t.clipExtent(n&&[[0,0],n]):a===Kc?null:a&&a[1]},t)};var Kc=[[-1e6,-1e6],[1e6,1e6]];Xo.geom.delaunay=function(n){return Xo.geom.voronoi().triangles(n)},Xo.geom.quadtree=function(n,t,e,r,u){function i(n){function i(n,t,e,r,u,i,o,a){if(!isNaN(e)&&!isNaN(r))if(n.leaf){var c=n.x,l=n.y;if(null!=c)if(oa(c-e)+oa(l-r)<.01)s(n,t,e,r,u,i,o,a);else{var f=n.point;n.x=n.y=n.point=null,s(n,f,c,l,u,i,o,a),s(n,t,e,r,u,i,o,a)}else n.x=e,n.y=r,n.point=t}else s(n,t,e,r,u,i,o,a)}function s(n,t,e,r,u,o,a,c){var s=.5*(u+a),l=.5*(o+c),f=e>=s,h=r>=l,g=(h<<1)+f;n.leaf=!1,n=n.nodes[g]||(n.nodes[g]=iu()),f?u=s:a=s,h?o=l:c=l,i(n,t,e,r,u,o,a,c)}var l,f,h,g,p,v,d,m,y,x=_t(a),M=_t(c);if(null!=t)v=t,d=e,m=r,y=u;else if(m=y=-(v=d=1/0),f=[],h=[],p=n.length,o)for(g=0;p>g;++g)l=n[g],l.x<v&&(v=l.x),l.y<d&&(d=l.y),l.x>m&&(m=l.x),l.y>y&&(y=l.y),f.push(l.x),h.push(l.y);else for(g=0;p>g;++g){var _=+x(l=n[g],g),b=+M(l,g);v>_&&(v=_),d>b&&(d=b),_>m&&(m=_),b>y&&(y=b),f.push(_),h.push(b)}var w=m-v,S=y-d;w>S?y=d+w:m=v+S;var k=iu();if(k.add=function(n){i(k,n,+x(n,++g),+M(n,g),v,d,m,y)},k.visit=function(n){ou(n,k,v,d,m,y)},g=-1,null==t){for(;++g<p;)i(k,n[g],f[g],h[g],v,d,m,y);--g}else n.forEach(k.add);return f=h=n=l=null,k}var o,a=br,c=wr;return(o=arguments.length)?(a=ru,c=uu,3===o&&(u=e,r=t,e=t=0),i(n)):(i.x=function(n){return arguments.length?(a=n,i):a},i.y=function(n){return arguments.length?(c=n,i):c},i.extent=function(n){return arguments.length?(null==n?t=e=r=u=null:(t=+n[0][0],e=+n[0][1],r=+n[1][0],u=+n[1][1]),i):null==t?null:[[t,e],[r,u]]},i.size=function(n){return arguments.length?(null==n?t=e=r=u=null:(t=e=0,r=+n[0],u=+n[1]),i):null==t?null:[r-t,u-e]},i)},Xo.interpolateRgb=au,Xo.interpolateObject=cu,Xo.interpolateNumber=su,Xo.interpolateString=lu;var Qc=/[-+]?(?:\d+\.?\d*|\.?\d+)(?:[eE][-+]?\d+)?/g;Xo.interpolate=fu,Xo.interpolators=[function(n,t){var e=typeof t;return("string"===e?Va.has(t)||/^(#|rgb\(|hsl\()/.test(t)?au:lu:t instanceof G?au:"object"===e?Array.isArray(t)?hu:cu:su)(n,t)}],Xo.interpolateArray=hu;var ns=function(){return bt},ts=Xo.map({linear:ns,poly:xu,quad:function(){return du},cubic:function(){return mu},sin:function(){return Mu},exp:function(){return _u},circle:function(){return bu},elastic:wu,back:Su,bounce:function(){return ku}}),es=Xo.map({"in":bt,out:pu,"in-out":vu,"out-in":function(n){return vu(pu(n))}});Xo.ease=function(n){var t=n.indexOf("-"),e=t>=0?n.substring(0,t):n,r=t>=0?n.substring(t+1):"in";return e=ts.get(e)||ns,r=es.get(r)||bt,gu(r(e.apply(null,$o.call(arguments,1))))},Xo.interpolateHcl=Eu,Xo.interpolateHsl=Au,Xo.interpolateLab=Cu,Xo.interpolateRound=Nu,Xo.transform=function(n){var t=Wo.createElementNS(Xo.ns.prefix.svg,"g");return(Xo.transform=function(n){if(null!=n){t.setAttribute("transform",n);var e=t.transform.baseVal.consolidate()}return new Lu(e?e.matrix:rs)})(n)},Lu.prototype.toString=function(){return"translate("+this.translate+")rotate("+this.rotate+")skewX("+this.skew+")scale("+this.scale+")"};var rs={a:1,b:0,c:0,d:1,e:0,f:0};Xo.interpolateTransform=Ru,Xo.layout={},Xo.layout.bundle=function(){return function(n){for(var t=[],e=-1,r=n.length;++e<r;)t.push(Uu(n[e]));return t}},Xo.layout.chord=function(){function n(){var n,s,f,h,g,p={},v=[],d=Xo.range(i),m=[];for(e=[],r=[],n=0,h=-1;++h<i;){for(s=0,g=-1;++g<i;)s+=u[h][g];v.push(s),m.push(Xo.range(i)),n+=s}for(o&&d.sort(function(n,t){return o(v[n],v[t])}),a&&m.forEach(function(n,t){n.sort(function(n,e){return a(u[t][n],u[t][e])})}),n=(ka-l*i)/n,s=0,h=-1;++h<i;){for(f=s,g=-1;++g<i;){var y=d[h],x=m[y][g],M=u[y][x],_=s,b=s+=M*n;p[y+"-"+x]={index:y,subindex:x,startAngle:_,endAngle:b,value:M}}r[y]={index:y,startAngle:f,endAngle:s,value:(s-f)/n},s+=l}for(h=-1;++h<i;)for(g=h-1;++g<i;){var w=p[h+"-"+g],S=p[g+"-"+h];(w.value||S.value)&&e.push(w.value<S.value?{source:S,target:w}:{source:w,target:S})}c&&t()}function t(){e.sort(function(n,t){return c((n.source.value+n.target.value)/2,(t.source.value+t.target.value)/2)})}var e,r,u,i,o,a,c,s={},l=0;return s.matrix=function(n){return arguments.length?(i=(u=n)&&u.length,e=r=null,s):u},s.padding=function(n){return arguments.length?(l=n,e=r=null,s):l},s.sortGroups=function(n){return arguments.length?(o=n,e=r=null,s):o},s.sortSubgroups=function(n){return arguments.length?(a=n,e=null,s):a},s.sortChords=function(n){return arguments.length?(c=n,e&&t(),s):c},s.chords=function(){return e||n(),e},s.groups=function(){return r||n(),r},s},Xo.layout.force=function(){function n(n){return function(t,e,r,u){if(t.point!==n){var i=t.cx-n.x,o=t.cy-n.y,a=u-e,c=i*i+o*o;if(c>a*a/d){if(p>c){var s=t.charge/c;n.px-=i*s,n.py-=o*s}return!0}if(t.point&&c&&p>c){var s=t.pointCharge/c;n.px-=i*s,n.py-=o*s}}return!t.charge}}function t(n){n.px=Xo.event.x,n.py=Xo.event.y,a.resume()}var e,r,u,i,o,a={},c=Xo.dispatch("start","tick","end"),s=[1,1],l=.9,f=us,h=is,g=-30,p=os,v=.1,d=.64,m=[],y=[];return a.tick=function(){if((r*=.99)<.005)return c.end({type:"end",alpha:r=0}),!0;var t,e,a,f,h,p,d,x,M,_=m.length,b=y.length;for(e=0;b>e;++e)a=y[e],f=a.source,h=a.target,x=h.x-f.x,M=h.y-f.y,(p=x*x+M*M)&&(p=r*i[e]*((p=Math.sqrt(p))-u[e])/p,x*=p,M*=p,h.x-=x*(d=f.weight/(h.weight+f.weight)),h.y-=M*d,f.x+=x*(d=1-d),f.y+=M*d);if((d=r*v)&&(x=s[0]/2,M=s[1]/2,e=-1,d))for(;++e<_;)a=m[e],a.x+=(x-a.x)*d,a.y+=(M-a.y)*d;if(g)for(Zu(t=Xo.geom.quadtree(m),r,o),e=-1;++e<_;)(a=m[e]).fixed||t.visit(n(a));for(e=-1;++e<_;)a=m[e],a.fixed?(a.x=a.px,a.y=a.py):(a.x-=(a.px-(a.px=a.x))*l,a.y-=(a.py-(a.py=a.y))*l);c.tick({type:"tick",alpha:r})},a.nodes=function(n){return arguments.length?(m=n,a):m},a.links=function(n){return arguments.length?(y=n,a):y},a.size=function(n){return arguments.length?(s=n,a):s},a.linkDistance=function(n){return arguments.length?(f="function"==typeof n?n:+n,a):f},a.distance=a.linkDistance,a.linkStrength=function(n){return arguments.length?(h="function"==typeof n?n:+n,a):h},a.friction=function(n){return arguments.length?(l=+n,a):l},a.charge=function(n){return arguments.length?(g="function"==typeof n?n:+n,a):g},a.chargeDistance=function(n){return arguments.length?(p=n*n,a):Math.sqrt(p)},a.gravity=function(n){return arguments.length?(v=+n,a):v},a.theta=function(n){return arguments.length?(d=n*n,a):Math.sqrt(d)},a.alpha=function(n){return arguments.length?(n=+n,r?r=n>0?n:0:n>0&&(c.start({type:"start",alpha:r=n}),Xo.timer(a.tick)),a):r},a.start=function(){function n(n,r){if(!e){for(e=new Array(c),a=0;c>a;++a)e[a]=[];for(a=0;s>a;++a){var u=y[a];e[u.source.index].push(u.target),e[u.target.index].push(u.source)}}for(var i,o=e[t],a=-1,s=o.length;++a<s;)if(!isNaN(i=o[a][n]))return i;return Math.random()*r}var t,e,r,c=m.length,l=y.length,p=s[0],v=s[1];for(t=0;c>t;++t)(r=m[t]).index=t,r.weight=0;for(t=0;l>t;++t)r=y[t],"number"==typeof r.source&&(r.source=m[r.source]),"number"==typeof r.target&&(r.target=m[r.target]),++r.source.weight,++r.target.weight;for(t=0;c>t;++t)r=m[t],isNaN(r.x)&&(r.x=n("x",p)),isNaN(r.y)&&(r.y=n("y",v)),isNaN(r.px)&&(r.px=r.x),isNaN(r.py)&&(r.py=r.y);if(u=[],"function"==typeof f)for(t=0;l>t;++t)u[t]=+f.call(this,y[t],t);else for(t=0;l>t;++t)u[t]=f;if(i=[],"function"==typeof h)for(t=0;l>t;++t)i[t]=+h.call(this,y[t],t);else for(t=0;l>t;++t)i[t]=h;if(o=[],"function"==typeof g)for(t=0;c>t;++t)o[t]=+g.call(this,m[t],t);else for(t=0;c>t;++t)o[t]=g;return a.resume()},a.resume=function(){return a.alpha(.1)},a.stop=function(){return a.alpha(0)},a.drag=function(){return e||(e=Xo.behavior.drag().origin(bt).on("dragstart.force",Fu).on("drag.force",t).on("dragend.force",Ou)),arguments.length?(this.on("mouseover.force",Yu).on("mouseout.force",Iu).call(e),void 0):e},Xo.rebind(a,c,"on")};var us=20,is=1,os=1/0;Xo.layout.hierarchy=function(){function n(t,o,a){var c=u.call(e,t,o);if(t.depth=o,a.push(t),c&&(s=c.length)){for(var s,l,f=-1,h=t.children=new Array(s),g=0,p=o+1;++f<s;)l=h[f]=n(c[f],p,a),l.parent=t,g+=l.value;r&&h.sort(r),i&&(t.value=g)}else delete t.children,i&&(t.value=+i.call(e,t,o)||0);return t}function t(n,r){var u=n.children,o=0;if(u&&(a=u.length))for(var a,c=-1,s=r+1;++c<a;)o+=t(u[c],s);else i&&(o=+i.call(e,n,r)||0);return i&&(n.value=o),o}function e(t){var e=[];return n(t,0,e),e}var r=Bu,u=Xu,i=$u;return e.sort=function(n){return arguments.length?(r=n,e):r},e.children=function(n){return arguments.length?(u=n,e):u},e.value=function(n){return arguments.length?(i=n,e):i},e.revalue=function(n){return t(n,0),n},e},Xo.layout.partition=function(){function n(t,e,r,u){var i=t.children;if(t.x=e,t.y=t.depth*u,t.dx=r,t.dy=u,i&&(o=i.length)){var o,a,c,s=-1;for(r=t.value?r/t.value:0;++s<o;)n(a=i[s],e,c=a.value*r,u),e+=c}}function t(n){var e=n.children,r=0;if(e&&(u=e.length))for(var u,i=-1;++i<u;)r=Math.max(r,t(e[i]));return 1+r}function e(e,i){var o=r.call(this,e,i);return n(o[0],0,u[0],u[1]/t(o[0])),o}var r=Xo.layout.hierarchy(),u=[1,1];return e.size=function(n){return arguments.length?(u=n,e):u},Vu(e,r)},Xo.layout.pie=function(){function n(i){var o=i.map(function(e,r){return+t.call(n,e,r)}),a=+("function"==typeof r?r.apply(this,arguments):r),c=(("function"==typeof u?u.apply(this,arguments):u)-a)/Xo.sum(o),s=Xo.range(i.length);null!=e&&s.sort(e===as?function(n,t){return o[t]-o[n]}:function(n,t){return e(i[n],i[t])});var l=[];return s.forEach(function(n){var t;l[n]={data:i[n],value:t=o[n],startAngle:a,endAngle:a+=t*c}}),l}var t=Number,e=as,r=0,u=ka;return n.value=function(e){return arguments.length?(t=e,n):t},n.sort=function(t){return arguments.length?(e=t,n):e},n.startAngle=function(t){return arguments.length?(r=t,n):r},n.endAngle=function(t){return arguments.length?(u=t,n):u},n};var as={};Xo.layout.stack=function(){function n(a,c){var s=a.map(function(e,r){return t.call(n,e,r)}),l=s.map(function(t){return t.map(function(t,e){return[i.call(n,t,e),o.call(n,t,e)]})}),f=e.call(n,l,c);s=Xo.permute(s,f),l=Xo.permute(l,f);var h,g,p,v=r.call(n,l,c),d=s.length,m=s[0].length;for(g=0;m>g;++g)for(u.call(n,s[0][g],p=v[g],l[0][g][1]),h=1;d>h;++h)u.call(n,s[h][g],p+=l[h-1][g][1],l[h][g][1]);return a}var t=bt,e=Qu,r=ni,u=Ku,i=Ju,o=Gu;return n.values=function(e){return arguments.length?(t=e,n):t},n.order=function(t){return arguments.length?(e="function"==typeof t?t:cs.get(t)||Qu,n):e},n.offset=function(t){return arguments.length?(r="function"==typeof t?t:ss.get(t)||ni,n):r},n.x=function(t){return arguments.length?(i=t,n):i},n.y=function(t){return arguments.length?(o=t,n):o},n.out=function(t){return arguments.length?(u=t,n):u},n};var cs=Xo.map({"inside-out":function(n){var t,e,r=n.length,u=n.map(ti),i=n.map(ei),o=Xo.range(r).sort(function(n,t){return u[n]-u[t]}),a=0,c=0,s=[],l=[];for(t=0;r>t;++t)e=o[t],c>a?(a+=i[e],s.push(e)):(c+=i[e],l.push(e));return l.reverse().concat(s)},reverse:function(n){return Xo.range(n.length).reverse()},"default":Qu}),ss=Xo.map({silhouette:function(n){var t,e,r,u=n.length,i=n[0].length,o=[],a=0,c=[];for(e=0;i>e;++e){for(t=0,r=0;u>t;t++)r+=n[t][e][1];r>a&&(a=r),o.push(r)}for(e=0;i>e;++e)c[e]=(a-o[e])/2;return c},wiggle:function(n){var t,e,r,u,i,o,a,c,s,l=n.length,f=n[0],h=f.length,g=[];for(g[0]=c=s=0,e=1;h>e;++e){for(t=0,u=0;l>t;++t)u+=n[t][e][1];for(t=0,i=0,a=f[e][0]-f[e-1][0];l>t;++t){for(r=0,o=(n[t][e][1]-n[t][e-1][1])/(2*a);t>r;++r)o+=(n[r][e][1]-n[r][e-1][1])/a;i+=o*n[t][e][1]}g[e]=c-=u?i/u*a:0,s>c&&(s=c)}for(e=0;h>e;++e)g[e]-=s;return g},expand:function(n){var t,e,r,u=n.length,i=n[0].length,o=1/u,a=[];for(e=0;i>e;++e){for(t=0,r=0;u>t;t++)r+=n[t][e][1];if(r)for(t=0;u>t;t++)n[t][e][1]/=r;else for(t=0;u>t;t++)n[t][e][1]=o}for(e=0;i>e;++e)a[e]=0;return a},zero:ni});Xo.layout.histogram=function(){function n(n,i){for(var o,a,c=[],s=n.map(e,this),l=r.call(this,s,i),f=u.call(this,l,s,i),i=-1,h=s.length,g=f.length-1,p=t?1:1/h;++i<g;)o=c[i]=[],o.dx=f[i+1]-(o.x=f[i]),o.y=0;if(g>0)for(i=-1;++i<h;)a=s[i],a>=l[0]&&a<=l[1]&&(o=c[Xo.bisect(f,a,1,g)-1],o.y+=p,o.push(n[i]));return c}var t=!0,e=Number,r=oi,u=ui;return n.value=function(t){return arguments.length?(e=t,n):e},n.range=function(t){return arguments.length?(r=_t(t),n):r},n.bins=function(t){return arguments.length?(u="number"==typeof t?function(n){return ii(n,t)}:_t(t),n):u},n.frequency=function(e){return arguments.length?(t=!!e,n):t},n},Xo.layout.tree=function(){function n(n,i){function o(n,t){var r=n.children,u=n._tree;if(r&&(i=r.length)){for(var i,a,s,l=r[0],f=l,h=-1;++h<i;)s=r[h],o(s,a),f=c(s,a,f),a=s;vi(n);var g=.5*(l._tree.prelim+s._tree.prelim);t?(u.prelim=t._tree.prelim+e(n,t),u.mod=u.prelim-g):u.prelim=g}else t&&(u.prelim=t._tree.prelim+e(n,t))}function a(n,t){n.x=n._tree.prelim+t;var e=n.children;if(e&&(r=e.length)){var r,u=-1;for(t+=n._tree.mod;++u<r;)a(e[u],t)}}function c(n,t,r){if(t){for(var u,i=n,o=n,a=t,c=n.parent.children[0],s=i._tree.mod,l=o._tree.mod,f=a._tree.mod,h=c._tree.mod;a=si(a),i=ci(i),a&&i;)c=ci(c),o=si(o),o._tree.ancestor=n,u=a._tree.prelim+f-i._tree.prelim-s+e(a,i),u>0&&(di(mi(a,n,r),n,u),s+=u,l+=u),f+=a._tree.mod,s+=i._tree.mod,h+=c._tree.mod,l+=o._tree.mod;a&&!si(o)&&(o._tree.thread=a,o._tree.mod+=f-l),i&&!ci(c)&&(c._tree.thread=i,c._tree.mod+=s-h,r=n)}return r}var s=t.call(this,n,i),l=s[0];pi(l,function(n,t){n._tree={ancestor:n,prelim:0,mod:0,change:0,shift:0,number:t?t._tree.number+1:0}}),o(l),a(l,-l._tree.prelim);var f=li(l,hi),h=li(l,fi),g=li(l,gi),p=f.x-e(f,h)/2,v=h.x+e(h,f)/2,d=g.depth||1;return pi(l,u?function(n){n.x*=r[0],n.y=n.depth*r[1],delete n._tree}:function(n){n.x=(n.x-p)/(v-p)*r[0],n.y=n.depth/d*r[1],delete n._tree}),s}var t=Xo.layout.hierarchy().sort(null).value(null),e=ai,r=[1,1],u=!1;return n.separation=function(t){return arguments.length?(e=t,n):e},n.size=function(t){return arguments.length?(u=null==(r=t),n):u?null:r},n.nodeSize=function(t){return arguments.length?(u=null!=(r=t),n):u?r:null},Vu(n,t)},Xo.layout.pack=function(){function n(n,i){var o=e.call(this,n,i),a=o[0],c=u[0],s=u[1],l=null==t?Math.sqrt:"function"==typeof t?t:function(){return t};if(a.x=a.y=0,pi(a,function(n){n.r=+l(n.value)}),pi(a,bi),r){var f=r*(t?1:Math.max(2*a.r/c,2*a.r/s))/2;pi(a,function(n){n.r+=f}),pi(a,bi),pi(a,function(n){n.r-=f})}return ki(a,c/2,s/2,t?1:1/Math.max(2*a.r/c,2*a.r/s)),o}var t,e=Xo.layout.hierarchy().sort(yi),r=0,u=[1,1];return n.size=function(t){return arguments.length?(u=t,n):u},n.radius=function(e){return arguments.length?(t=null==e||"function"==typeof e?e:+e,n):t},n.padding=function(t){return arguments.length?(r=+t,n):r},Vu(n,e)},Xo.layout.cluster=function(){function n(n,i){var o,a=t.call(this,n,i),c=a[0],s=0;pi(c,function(n){var t=n.children;t&&t.length?(n.x=Ci(t),n.y=Ai(t)):(n.x=o?s+=e(n,o):0,n.y=0,o=n)});var l=Ni(c),f=Li(c),h=l.x-e(l,f)/2,g=f.x+e(f,l)/2;return pi(c,u?function(n){n.x=(n.x-c.x)*r[0],n.y=(c.y-n.y)*r[1]}:function(n){n.x=(n.x-h)/(g-h)*r[0],n.y=(1-(c.y?n.y/c.y:1))*r[1]}),a}var t=Xo.layout.hierarchy().sort(null).value(null),e=ai,r=[1,1],u=!1;return n.separation=function(t){return arguments.length?(e=t,n):e},n.size=function(t){return arguments.length?(u=null==(r=t),n):u?null:r},n.nodeSize=function(t){return arguments.length?(u=null!=(r=t),n):u?r:null},Vu(n,t)},Xo.layout.treemap=function(){function n(n,t){for(var e,r,u=-1,i=n.length;++u<i;)r=(e=n[u]).value*(0>t?0:t),e.area=isNaN(r)||0>=r?0:r}function t(e){var i=e.children;if(i&&i.length){var o,a,c,s=f(e),l=[],h=i.slice(),p=1/0,v="slice"===g?s.dx:"dice"===g?s.dy:"slice-dice"===g?1&e.depth?s.dy:s.dx:Math.min(s.dx,s.dy);for(n(h,s.dx*s.dy/e.value),l.area=0;(c=h.length)>0;)l.push(o=h[c-1]),l.area+=o.area,"squarify"!==g||(a=r(l,v))<=p?(h.pop(),p=a):(l.area-=l.pop().area,u(l,v,s,!1),v=Math.min(s.dx,s.dy),l.length=l.area=0,p=1/0);l.length&&(u(l,v,s,!0),l.length=l.area=0),i.forEach(t)}}function e(t){var r=t.children;if(r&&r.length){var i,o=f(t),a=r.slice(),c=[];for(n(a,o.dx*o.dy/t.value),c.area=0;i=a.pop();)c.push(i),c.area+=i.area,null!=i.z&&(u(c,i.z?o.dx:o.dy,o,!a.length),c.length=c.area=0);r.forEach(e)}}function r(n,t){for(var e,r=n.area,u=0,i=1/0,o=-1,a=n.length;++o<a;)(e=n[o].area)&&(i>e&&(i=e),e>u&&(u=e));return r*=r,t*=t,r?Math.max(t*u*p/r,r/(t*i*p)):1/0}function u(n,t,e,r){var u,i=-1,o=n.length,a=e.x,s=e.y,l=t?c(n.area/t):0;if(t==e.dx){for((r||l>e.dy)&&(l=e.dy);++i<o;)u=n[i],u.x=a,u.y=s,u.dy=l,a+=u.dx=Math.min(e.x+e.dx-a,l?c(u.area/l):0);u.z=!0,u.dx+=e.x+e.dx-a,e.y+=l,e.dy-=l}else{for((r||l>e.dx)&&(l=e.dx);++i<o;)u=n[i],u.x=a,u.y=s,u.dx=l,s+=u.dy=Math.min(e.y+e.dy-s,l?c(u.area/l):0);u.z=!1,u.dy+=e.y+e.dy-s,e.x+=l,e.dx-=l}}function i(r){var u=o||a(r),i=u[0];return i.x=0,i.y=0,i.dx=s[0],i.dy=s[1],o&&a.revalue(i),n([i],i.dx*i.dy/i.value),(o?e:t)(i),h&&(o=u),u}var o,a=Xo.layout.hierarchy(),c=Math.round,s=[1,1],l=null,f=zi,h=!1,g="squarify",p=.5*(1+Math.sqrt(5));return i.size=function(n){return arguments.length?(s=n,i):s},i.padding=function(n){function t(t){var e=n.call(i,t,t.depth);return null==e?zi(t):qi(t,"number"==typeof e?[e,e,e,e]:e)}function e(t){return qi(t,n)}if(!arguments.length)return l;var r;return f=null==(l=n)?zi:"function"==(r=typeof n)?t:"number"===r?(n=[n,n,n,n],e):e,i},i.round=function(n){return arguments.length?(c=n?Math.round:Number,i):c!=Number},i.sticky=function(n){return arguments.length?(h=n,o=null,i):h},i.ratio=function(n){return arguments.length?(p=n,i):p},i.mode=function(n){return arguments.length?(g=n+"",i):g},Vu(i,a)},Xo.random={normal:function(n,t){var e=arguments.length;return 2>e&&(t=1),1>e&&(n=0),function(){var e,r,u;do e=2*Math.random()-1,r=2*Math.random()-1,u=e*e+r*r;while(!u||u>1);return n+t*e*Math.sqrt(-2*Math.log(u)/u)}},logNormal:function(){var n=Xo.random.normal.apply(Xo,arguments);return function(){return Math.exp(n())}},bates:function(n){var t=Xo.random.irwinHall(n);return function(){return t()/n}},irwinHall:function(n){return function(){for(var t=0,e=0;n>e;e++)t+=Math.random();return t}}},Xo.scale={};var ls={floor:bt,ceil:bt};Xo.scale.linear=function(){return Hi([0,1],[0,1],fu,!1)};var fs={s:1,g:1,p:1,r:1,e:1};Xo.scale.log=function(){return $i(Xo.scale.linear().domain([0,1]),10,!0,[1,10])};var hs=Xo.format(".0e"),gs={floor:function(n){return-Math.ceil(-n)},ceil:function(n){return-Math.floor(-n)}};Xo.scale.pow=function(){return Bi(Xo.scale.linear(),1,[0,1])},Xo.scale.sqrt=function(){return Xo.scale.pow().exponent(.5)},Xo.scale.ordinal=function(){return Ji([],{t:"range",a:[[]]})},Xo.scale.category10=function(){return Xo.scale.ordinal().range(ps)},Xo.scale.category20=function(){return Xo.scale.ordinal().range(vs)},Xo.scale.category20b=function(){return Xo.scale.ordinal().range(ds)},Xo.scale.category20c=function(){return Xo.scale.ordinal().range(ms)};var ps=[2062260,16744206,2924588,14034728,9725885,9197131,14907330,8355711,12369186,1556175].map(ht),vs=[2062260,11454440,16744206,16759672,2924588,10018698,14034728,16750742,9725885,12955861,9197131,12885140,14907330,16234194,8355711,13092807,12369186,14408589,1556175,10410725].map(ht),ds=[3750777,5395619,7040719,10264286,6519097,9216594,11915115,13556636,9202993,12426809,15186514,15190932,8666169,11356490,14049643,15177372,8077683,10834324,13528509,14589654].map(ht),ms=[3244733,7057110,10406625,13032431,15095053,16616764,16625259,16634018,3253076,7652470,10607003,13101504,7695281,10394312,12369372,14342891,6513507,9868950,12434877,14277081].map(ht);Xo.scale.quantile=function(){return Gi([],[])
},Xo.scale.quantize=function(){return Ki(0,1,[0,1])},Xo.scale.threshold=function(){return Qi([.5],[0,1])},Xo.scale.identity=function(){return no([0,1])},Xo.svg={},Xo.svg.arc=function(){function n(){var n=t.apply(this,arguments),i=e.apply(this,arguments),o=r.apply(this,arguments)+ys,a=u.apply(this,arguments)+ys,c=(o>a&&(c=o,o=a,a=c),a-o),s=Sa>c?"0":"1",l=Math.cos(o),f=Math.sin(o),h=Math.cos(a),g=Math.sin(a);return c>=xs?n?"M0,"+i+"A"+i+","+i+" 0 1,1 0,"+-i+"A"+i+","+i+" 0 1,1 0,"+i+"M0,"+n+"A"+n+","+n+" 0 1,0 0,"+-n+"A"+n+","+n+" 0 1,0 0,"+n+"Z":"M0,"+i+"A"+i+","+i+" 0 1,1 0,"+-i+"A"+i+","+i+" 0 1,1 0,"+i+"Z":n?"M"+i*l+","+i*f+"A"+i+","+i+" 0 "+s+",1 "+i*h+","+i*g+"L"+n*h+","+n*g+"A"+n+","+n+" 0 "+s+",0 "+n*l+","+n*f+"Z":"M"+i*l+","+i*f+"A"+i+","+i+" 0 "+s+",1 "+i*h+","+i*g+"L0,0"+"Z"}var t=to,e=eo,r=ro,u=uo;return n.innerRadius=function(e){return arguments.length?(t=_t(e),n):t},n.outerRadius=function(t){return arguments.length?(e=_t(t),n):e},n.startAngle=function(t){return arguments.length?(r=_t(t),n):r},n.endAngle=function(t){return arguments.length?(u=_t(t),n):u},n.centroid=function(){var n=(t.apply(this,arguments)+e.apply(this,arguments))/2,i=(r.apply(this,arguments)+u.apply(this,arguments))/2+ys;return[Math.cos(i)*n,Math.sin(i)*n]},n};var ys=-Ea,xs=ka-Aa;Xo.svg.line=function(){return io(bt)};var Ms=Xo.map({linear:oo,"linear-closed":ao,step:co,"step-before":so,"step-after":lo,basis:mo,"basis-open":yo,"basis-closed":xo,bundle:Mo,cardinal:go,"cardinal-open":fo,"cardinal-closed":ho,monotone:Eo});Ms.forEach(function(n,t){t.key=n,t.closed=/-closed$/.test(n)});var _s=[0,2/3,1/3,0],bs=[0,1/3,2/3,0],ws=[0,1/6,2/3,1/6];Xo.svg.line.radial=function(){var n=io(Ao);return n.radius=n.x,delete n.x,n.angle=n.y,delete n.y,n},so.reverse=lo,lo.reverse=so,Xo.svg.area=function(){return Co(bt)},Xo.svg.area.radial=function(){var n=Co(Ao);return n.radius=n.x,delete n.x,n.innerRadius=n.x0,delete n.x0,n.outerRadius=n.x1,delete n.x1,n.angle=n.y,delete n.y,n.startAngle=n.y0,delete n.y0,n.endAngle=n.y1,delete n.y1,n},Xo.svg.chord=function(){function n(n,a){var c=t(this,i,n,a),s=t(this,o,n,a);return"M"+c.p0+r(c.r,c.p1,c.a1-c.a0)+(e(c,s)?u(c.r,c.p1,c.r,c.p0):u(c.r,c.p1,s.r,s.p0)+r(s.r,s.p1,s.a1-s.a0)+u(s.r,s.p1,c.r,c.p0))+"Z"}function t(n,t,e,r){var u=t.call(n,e,r),i=a.call(n,u,r),o=c.call(n,u,r)+ys,l=s.call(n,u,r)+ys;return{r:i,a0:o,a1:l,p0:[i*Math.cos(o),i*Math.sin(o)],p1:[i*Math.cos(l),i*Math.sin(l)]}}function e(n,t){return n.a0==t.a0&&n.a1==t.a1}function r(n,t,e){return"A"+n+","+n+" 0 "+ +(e>Sa)+",1 "+t}function u(n,t,e,r){return"Q 0,0 "+r}var i=hr,o=gr,a=No,c=ro,s=uo;return n.radius=function(t){return arguments.length?(a=_t(t),n):a},n.source=function(t){return arguments.length?(i=_t(t),n):i},n.target=function(t){return arguments.length?(o=_t(t),n):o},n.startAngle=function(t){return arguments.length?(c=_t(t),n):c},n.endAngle=function(t){return arguments.length?(s=_t(t),n):s},n},Xo.svg.diagonal=function(){function n(n,u){var i=t.call(this,n,u),o=e.call(this,n,u),a=(i.y+o.y)/2,c=[i,{x:i.x,y:a},{x:o.x,y:a},o];return c=c.map(r),"M"+c[0]+"C"+c[1]+" "+c[2]+" "+c[3]}var t=hr,e=gr,r=Lo;return n.source=function(e){return arguments.length?(t=_t(e),n):t},n.target=function(t){return arguments.length?(e=_t(t),n):e},n.projection=function(t){return arguments.length?(r=t,n):r},n},Xo.svg.diagonal.radial=function(){var n=Xo.svg.diagonal(),t=Lo,e=n.projection;return n.projection=function(n){return arguments.length?e(zo(t=n)):t},n},Xo.svg.symbol=function(){function n(n,r){return(Ss.get(t.call(this,n,r))||Ro)(e.call(this,n,r))}var t=To,e=qo;return n.type=function(e){return arguments.length?(t=_t(e),n):t},n.size=function(t){return arguments.length?(e=_t(t),n):e},n};var Ss=Xo.map({circle:Ro,cross:function(n){var t=Math.sqrt(n/5)/2;return"M"+-3*t+","+-t+"H"+-t+"V"+-3*t+"H"+t+"V"+-t+"H"+3*t+"V"+t+"H"+t+"V"+3*t+"H"+-t+"V"+t+"H"+-3*t+"Z"},diamond:function(n){var t=Math.sqrt(n/(2*Cs)),e=t*Cs;return"M0,"+-t+"L"+e+",0"+" 0,"+t+" "+-e+",0"+"Z"},square:function(n){var t=Math.sqrt(n)/2;return"M"+-t+","+-t+"L"+t+","+-t+" "+t+","+t+" "+-t+","+t+"Z"},"triangle-down":function(n){var t=Math.sqrt(n/As),e=t*As/2;return"M0,"+e+"L"+t+","+-e+" "+-t+","+-e+"Z"},"triangle-up":function(n){var t=Math.sqrt(n/As),e=t*As/2;return"M0,"+-e+"L"+t+","+e+" "+-t+","+e+"Z"}});Xo.svg.symbolTypes=Ss.keys();var ks,Es,As=Math.sqrt(3),Cs=Math.tan(30*Na),Ns=[],Ls=0;Ns.call=da.call,Ns.empty=da.empty,Ns.node=da.node,Ns.size=da.size,Xo.transition=function(n){return arguments.length?ks?n.transition():n:xa.transition()},Xo.transition.prototype=Ns,Ns.select=function(n){var t,e,r,u=this.id,i=[];n=M(n);for(var o=-1,a=this.length;++o<a;){i.push(t=[]);for(var c=this[o],s=-1,l=c.length;++s<l;)(r=c[s])&&(e=n.call(r,r.__data__,s,o))?("__data__"in r&&(e.__data__=r.__data__),jo(e,s,u,r.__transition__[u]),t.push(e)):t.push(null)}return Do(i,u)},Ns.selectAll=function(n){var t,e,r,u,i,o=this.id,a=[];n=_(n);for(var c=-1,s=this.length;++c<s;)for(var l=this[c],f=-1,h=l.length;++f<h;)if(r=l[f]){i=r.__transition__[o],e=n.call(r,r.__data__,f,c),a.push(t=[]);for(var g=-1,p=e.length;++g<p;)(u=e[g])&&jo(u,g,o,i),t.push(u)}return Do(a,o)},Ns.filter=function(n){var t,e,r,u=[];"function"!=typeof n&&(n=q(n));for(var i=0,o=this.length;o>i;i++){u.push(t=[]);for(var e=this[i],a=0,c=e.length;c>a;a++)(r=e[a])&&n.call(r,r.__data__,a,i)&&t.push(r)}return Do(u,this.id)},Ns.tween=function(n,t){var e=this.id;return arguments.length<2?this.node().__transition__[e].tween.get(n):R(this,null==t?function(t){t.__transition__[e].tween.remove(n)}:function(r){r.__transition__[e].tween.set(n,t)})},Ns.attr=function(n,t){function e(){this.removeAttribute(a)}function r(){this.removeAttributeNS(a.space,a.local)}function u(n){return null==n?e:(n+="",function(){var t,e=this.getAttribute(a);return e!==n&&(t=o(e,n),function(n){this.setAttribute(a,t(n))})})}function i(n){return null==n?r:(n+="",function(){var t,e=this.getAttributeNS(a.space,a.local);return e!==n&&(t=o(e,n),function(n){this.setAttributeNS(a.space,a.local,t(n))})})}if(arguments.length<2){for(t in n)this.attr(t,n[t]);return this}var o="transform"==n?Ru:fu,a=Xo.ns.qualify(n);return Po(this,"attr."+n,t,a.local?i:u)},Ns.attrTween=function(n,t){function e(n,e){var r=t.call(this,n,e,this.getAttribute(u));return r&&function(n){this.setAttribute(u,r(n))}}function r(n,e){var r=t.call(this,n,e,this.getAttributeNS(u.space,u.local));return r&&function(n){this.setAttributeNS(u.space,u.local,r(n))}}var u=Xo.ns.qualify(n);return this.tween("attr."+n,u.local?r:e)},Ns.style=function(n,t,e){function r(){this.style.removeProperty(n)}function u(t){return null==t?r:(t+="",function(){var r,u=Go.getComputedStyle(this,null).getPropertyValue(n);return u!==t&&(r=fu(u,t),function(t){this.style.setProperty(n,r(t),e)})})}var i=arguments.length;if(3>i){if("string"!=typeof n){2>i&&(t="");for(e in n)this.style(e,n[e],t);return this}e=""}return Po(this,"style."+n,t,u)},Ns.styleTween=function(n,t,e){function r(r,u){var i=t.call(this,r,u,Go.getComputedStyle(this,null).getPropertyValue(n));return i&&function(t){this.style.setProperty(n,i(t),e)}}return arguments.length<3&&(e=""),this.tween("style."+n,r)},Ns.text=function(n){return Po(this,"text",n,Uo)},Ns.remove=function(){return this.each("end.transition",function(){var n;this.__transition__.count<2&&(n=this.parentNode)&&n.removeChild(this)})},Ns.ease=function(n){var t=this.id;return arguments.length<1?this.node().__transition__[t].ease:("function"!=typeof n&&(n=Xo.ease.apply(Xo,arguments)),R(this,function(e){e.__transition__[t].ease=n}))},Ns.delay=function(n){var t=this.id;return R(this,"function"==typeof n?function(e,r,u){e.__transition__[t].delay=+n.call(e,e.__data__,r,u)}:(n=+n,function(e){e.__transition__[t].delay=n}))},Ns.duration=function(n){var t=this.id;return R(this,"function"==typeof n?function(e,r,u){e.__transition__[t].duration=Math.max(1,n.call(e,e.__data__,r,u))}:(n=Math.max(1,n),function(e){e.__transition__[t].duration=n}))},Ns.each=function(n,t){var e=this.id;if(arguments.length<2){var r=Es,u=ks;ks=e,R(this,function(t,r,u){Es=t.__transition__[e],n.call(t,t.__data__,r,u)}),Es=r,ks=u}else R(this,function(r){var u=r.__transition__[e];(u.event||(u.event=Xo.dispatch("start","end"))).on(n,t)});return this},Ns.transition=function(){for(var n,t,e,r,u=this.id,i=++Ls,o=[],a=0,c=this.length;c>a;a++){o.push(n=[]);for(var t=this[a],s=0,l=t.length;l>s;s++)(e=t[s])&&(r=Object.create(e.__transition__[u]),r.delay+=r.duration,jo(e,s,i,r)),n.push(e)}return Do(o,i)},Xo.svg.axis=function(){function n(n){n.each(function(){var n,s=Xo.select(this),l=this.__chart__||e,f=this.__chart__=e.copy(),h=null==c?f.ticks?f.ticks.apply(f,a):f.domain():c,g=null==t?f.tickFormat?f.tickFormat.apply(f,a):bt:t,p=s.selectAll(".tick").data(h,f),v=p.enter().insert("g",".domain").attr("class","tick").style("opacity",Aa),d=Xo.transition(p.exit()).style("opacity",Aa).remove(),m=Xo.transition(p).style("opacity",1),y=Ri(f),x=s.selectAll(".domain").data([0]),M=(x.enter().append("path").attr("class","domain"),Xo.transition(x));v.append("line"),v.append("text");var _=v.select("line"),b=m.select("line"),w=p.select("text").text(g),S=v.select("text"),k=m.select("text");switch(r){case"bottom":n=Ho,_.attr("y2",u),S.attr("y",Math.max(u,0)+o),b.attr("x2",0).attr("y2",u),k.attr("x",0).attr("y",Math.max(u,0)+o),w.attr("dy",".71em").style("text-anchor","middle"),M.attr("d","M"+y[0]+","+i+"V0H"+y[1]+"V"+i);break;case"top":n=Ho,_.attr("y2",-u),S.attr("y",-(Math.max(u,0)+o)),b.attr("x2",0).attr("y2",-u),k.attr("x",0).attr("y",-(Math.max(u,0)+o)),w.attr("dy","0em").style("text-anchor","middle"),M.attr("d","M"+y[0]+","+-i+"V0H"+y[1]+"V"+-i);break;case"left":n=Fo,_.attr("x2",-u),S.attr("x",-(Math.max(u,0)+o)),b.attr("x2",-u).attr("y2",0),k.attr("x",-(Math.max(u,0)+o)).attr("y",0),w.attr("dy",".32em").style("text-anchor","end"),M.attr("d","M"+-i+","+y[0]+"H0V"+y[1]+"H"+-i);break;case"right":n=Fo,_.attr("x2",u),S.attr("x",Math.max(u,0)+o),b.attr("x2",u).attr("y2",0),k.attr("x",Math.max(u,0)+o).attr("y",0),w.attr("dy",".32em").style("text-anchor","start"),M.attr("d","M"+i+","+y[0]+"H0V"+y[1]+"H"+i)}if(f.rangeBand){var E=f,A=E.rangeBand()/2;l=f=function(n){return E(n)+A}}else l.rangeBand?l=f:d.call(n,f);v.call(n,l),m.call(n,f)})}var t,e=Xo.scale.linear(),r=zs,u=6,i=6,o=3,a=[10],c=null;return n.scale=function(t){return arguments.length?(e=t,n):e},n.orient=function(t){return arguments.length?(r=t in qs?t+"":zs,n):r},n.ticks=function(){return arguments.length?(a=arguments,n):a},n.tickValues=function(t){return arguments.length?(c=t,n):c},n.tickFormat=function(e){return arguments.length?(t=e,n):t},n.tickSize=function(t){var e=arguments.length;return e?(u=+t,i=+arguments[e-1],n):u},n.innerTickSize=function(t){return arguments.length?(u=+t,n):u},n.outerTickSize=function(t){return arguments.length?(i=+t,n):i},n.tickPadding=function(t){return arguments.length?(o=+t,n):o},n.tickSubdivide=function(){return arguments.length&&n},n};var zs="bottom",qs={top:1,right:1,bottom:1,left:1};Xo.svg.brush=function(){function n(i){i.each(function(){var i=Xo.select(this).style("pointer-events","all").style("-webkit-tap-highlight-color","rgba(0,0,0,0)").on("mousedown.brush",u).on("touchstart.brush",u),o=i.selectAll(".background").data([0]);o.enter().append("rect").attr("class","background").style("visibility","hidden").style("cursor","crosshair"),i.selectAll(".extent").data([0]).enter().append("rect").attr("class","extent").style("cursor","move");var a=i.selectAll(".resize").data(p,bt);a.exit().remove(),a.enter().append("g").attr("class",function(n){return"resize "+n}).style("cursor",function(n){return Ts[n]}).append("rect").attr("x",function(n){return/[ew]$/.test(n)?-3:null}).attr("y",function(n){return/^[ns]/.test(n)?-3:null}).attr("width",6).attr("height",6).style("visibility","hidden"),a.style("display",n.empty()?"none":null);var l,f=Xo.transition(i),h=Xo.transition(o);c&&(l=Ri(c),h.attr("x",l[0]).attr("width",l[1]-l[0]),e(f)),s&&(l=Ri(s),h.attr("y",l[0]).attr("height",l[1]-l[0]),r(f)),t(f)})}function t(n){n.selectAll(".resize").attr("transform",function(n){return"translate("+l[+/e$/.test(n)]+","+f[+/^s/.test(n)]+")"})}function e(n){n.select(".extent").attr("x",l[0]),n.selectAll(".extent,.n>rect,.s>rect").attr("width",l[1]-l[0])}function r(n){n.select(".extent").attr("y",f[0]),n.selectAll(".extent,.e>rect,.w>rect").attr("height",f[1]-f[0])}function u(){function u(){32==Xo.event.keyCode&&(C||(x=null,L[0]-=l[1],L[1]-=f[1],C=2),d())}function p(){32==Xo.event.keyCode&&2==C&&(L[0]+=l[1],L[1]+=f[1],C=0,d())}function v(){var n=Xo.mouse(_),u=!1;M&&(n[0]+=M[0],n[1]+=M[1]),C||(Xo.event.altKey?(x||(x=[(l[0]+l[1])/2,(f[0]+f[1])/2]),L[0]=l[+(n[0]<x[0])],L[1]=f[+(n[1]<x[1])]):x=null),E&&m(n,c,0)&&(e(S),u=!0),A&&m(n,s,1)&&(r(S),u=!0),u&&(t(S),w({type:"brush",mode:C?"move":"resize"}))}function m(n,t,e){var r,u,a=Ri(t),c=a[0],s=a[1],p=L[e],v=e?f:l,d=v[1]-v[0];return C&&(c-=p,s-=d+p),r=(e?g:h)?Math.max(c,Math.min(s,n[e])):n[e],C?u=(r+=p)+d:(x&&(p=Math.max(c,Math.min(s,2*x[e]-r))),r>p?(u=r,r=p):u=p),v[0]!=r||v[1]!=u?(e?o=null:i=null,v[0]=r,v[1]=u,!0):void 0}function y(){v(),S.style("pointer-events","all").selectAll(".resize").style("display",n.empty()?"none":null),Xo.select("body").style("cursor",null),z.on("mousemove.brush",null).on("mouseup.brush",null).on("touchmove.brush",null).on("touchend.brush",null).on("keydown.brush",null).on("keyup.brush",null),N(),w({type:"brushend"})}var x,M,_=this,b=Xo.select(Xo.event.target),w=a.of(_,arguments),S=Xo.select(_),k=b.datum(),E=!/^(n|s)$/.test(k)&&c,A=!/^(e|w)$/.test(k)&&s,C=b.classed("extent"),N=O(),L=Xo.mouse(_),z=Xo.select(Go).on("keydown.brush",u).on("keyup.brush",p);if(Xo.event.changedTouches?z.on("touchmove.brush",v).on("touchend.brush",y):z.on("mousemove.brush",v).on("mouseup.brush",y),S.interrupt().selectAll("*").interrupt(),C)L[0]=l[0]-L[0],L[1]=f[0]-L[1];else if(k){var q=+/w$/.test(k),T=+/^n/.test(k);M=[l[1-q]-L[0],f[1-T]-L[1]],L[0]=l[q],L[1]=f[T]}else Xo.event.altKey&&(x=L.slice());S.style("pointer-events","none").selectAll(".resize").style("display",null),Xo.select("body").style("cursor",b.style("cursor")),w({type:"brushstart"}),v()}var i,o,a=y(n,"brushstart","brush","brushend"),c=null,s=null,l=[0,0],f=[0,0],h=!0,g=!0,p=Rs[0];return n.event=function(n){n.each(function(){var n=a.of(this,arguments),t={x:l,y:f,i:i,j:o},e=this.__chart__||t;this.__chart__=t,ks?Xo.select(this).transition().each("start.brush",function(){i=e.i,o=e.j,l=e.x,f=e.y,n({type:"brushstart"})}).tween("brush:brush",function(){var e=hu(l,t.x),r=hu(f,t.y);return i=o=null,function(u){l=t.x=e(u),f=t.y=r(u),n({type:"brush",mode:"resize"})}}).each("end.brush",function(){i=t.i,o=t.j,n({type:"brush",mode:"resize"}),n({type:"brushend"})}):(n({type:"brushstart"}),n({type:"brush",mode:"resize"}),n({type:"brushend"}))})},n.x=function(t){return arguments.length?(c=t,p=Rs[!c<<1|!s],n):c},n.y=function(t){return arguments.length?(s=t,p=Rs[!c<<1|!s],n):s},n.clamp=function(t){return arguments.length?(c&&s?(h=!!t[0],g=!!t[1]):c?h=!!t:s&&(g=!!t),n):c&&s?[h,g]:c?h:s?g:null},n.extent=function(t){var e,r,u,a,h;return arguments.length?(c&&(e=t[0],r=t[1],s&&(e=e[0],r=r[0]),i=[e,r],c.invert&&(e=c(e),r=c(r)),e>r&&(h=e,e=r,r=h),(e!=l[0]||r!=l[1])&&(l=[e,r])),s&&(u=t[0],a=t[1],c&&(u=u[1],a=a[1]),o=[u,a],s.invert&&(u=s(u),a=s(a)),u>a&&(h=u,u=a,a=h),(u!=f[0]||a!=f[1])&&(f=[u,a])),n):(c&&(i?(e=i[0],r=i[1]):(e=l[0],r=l[1],c.invert&&(e=c.invert(e),r=c.invert(r)),e>r&&(h=e,e=r,r=h))),s&&(o?(u=o[0],a=o[1]):(u=f[0],a=f[1],s.invert&&(u=s.invert(u),a=s.invert(a)),u>a&&(h=u,u=a,a=h))),c&&s?[[e,u],[r,a]]:c?[e,r]:s&&[u,a])},n.clear=function(){return n.empty()||(l=[0,0],f=[0,0],i=o=null),n},n.empty=function(){return!!c&&l[0]==l[1]||!!s&&f[0]==f[1]},Xo.rebind(n,a,"on")};var Ts={n:"ns-resize",e:"ew-resize",s:"ns-resize",w:"ew-resize",nw:"nwse-resize",ne:"nesw-resize",se:"nwse-resize",sw:"nesw-resize"},Rs=[["n","e","s","w","nw","ne","se","sw"],["e","w"],["n","s"],[]],Ds=tc.format=ac.timeFormat,Ps=Ds.utc,Us=Ps("%Y-%m-%dT%H:%M:%S.%LZ");Ds.iso=Date.prototype.toISOString&&+new Date("2000-01-01T00:00:00.000Z")?Oo:Us,Oo.parse=function(n){var t=new Date(n);return isNaN(t)?null:t},Oo.toString=Us.toString,tc.second=Rt(function(n){return new ec(1e3*Math.floor(n/1e3))},function(n,t){n.setTime(n.getTime()+1e3*Math.floor(t))},function(n){return n.getSeconds()}),tc.seconds=tc.second.range,tc.seconds.utc=tc.second.utc.range,tc.minute=Rt(function(n){return new ec(6e4*Math.floor(n/6e4))},function(n,t){n.setTime(n.getTime()+6e4*Math.floor(t))},function(n){return n.getMinutes()}),tc.minutes=tc.minute.range,tc.minutes.utc=tc.minute.utc.range,tc.hour=Rt(function(n){var t=n.getTimezoneOffset()/60;return new ec(36e5*(Math.floor(n/36e5-t)+t))},function(n,t){n.setTime(n.getTime()+36e5*Math.floor(t))},function(n){return n.getHours()}),tc.hours=tc.hour.range,tc.hours.utc=tc.hour.utc.range,tc.month=Rt(function(n){return n=tc.day(n),n.setDate(1),n},function(n,t){n.setMonth(n.getMonth()+t)},function(n){return n.getMonth()}),tc.months=tc.month.range,tc.months.utc=tc.month.utc.range;var js=[1e3,5e3,15e3,3e4,6e4,3e5,9e5,18e5,36e5,108e5,216e5,432e5,864e5,1728e5,6048e5,2592e6,7776e6,31536e6],Hs=[[tc.second,1],[tc.second,5],[tc.second,15],[tc.second,30],[tc.minute,1],[tc.minute,5],[tc.minute,15],[tc.minute,30],[tc.hour,1],[tc.hour,3],[tc.hour,6],[tc.hour,12],[tc.day,1],[tc.day,2],[tc.week,1],[tc.month,1],[tc.month,3],[tc.year,1]],Fs=Ds.multi([[".%L",function(n){return n.getMilliseconds()}],[":%S",function(n){return n.getSeconds()}],["%I:%M",function(n){return n.getMinutes()}],["%I %p",function(n){return n.getHours()}],["%a %d",function(n){return n.getDay()&&1!=n.getDate()}],["%b %d",function(n){return 1!=n.getDate()}],["%B",function(n){return n.getMonth()}],["%Y",be]]),Os={range:function(n,t,e){return Xo.range(+n,+t,e).map(Io)},floor:bt,ceil:bt};Hs.year=tc.year,tc.scale=function(){return Yo(Xo.scale.linear(),Hs,Fs)};var Ys=Hs.map(function(n){return[n[0].utc,n[1]]}),Is=Ps.multi([[".%L",function(n){return n.getUTCMilliseconds()}],[":%S",function(n){return n.getUTCSeconds()}],["%I:%M",function(n){return n.getUTCMinutes()}],["%I %p",function(n){return n.getUTCHours()}],["%a %d",function(n){return n.getUTCDay()&&1!=n.getUTCDate()}],["%b %d",function(n){return 1!=n.getUTCDate()}],["%B",function(n){return n.getUTCMonth()}],["%Y",be]]);Ys.year=tc.year.utc,tc.scale.utc=function(){return Yo(Xo.scale.linear(),Ys,Is)},Xo.text=wt(function(n){return n.responseText}),Xo.json=function(n,t){return St(n,"application/json",Zo,t)},Xo.html=function(n,t){return St(n,"text/html",Vo,t)},Xo.xml=wt(function(n){return n.responseXML}),"function"==typeof define&&define.amd?define(Xo):"object"==typeof module&&module.exports?module.exports=Xo:this.d3=Xo}();
library(mvtnorm)
# Girth and Length are now set by values determined in either:
# Hungfun's charts (http://imgur.com/a/3r5sH)
# Herbenick et al (http://onlinelibrary.wiley.com/doi/10.1111/jsm.12244/abstract)
percentile = function (l_mean, l_sd, g_mean, g_sd, correlation) {
covariance = correlation * l_sd * g_sd # correlation coefficient * sd(length) * sd(girth)
sigma = matrix(c(l_sd^2, covariance, covariance, g_sd^2),nrow = 2, byrow=T)
grange = seq(2,8, by=.1)
lrange = seq(2,10, by=.1)
result = c()
for(l in lrange) {
for (g in grange) {
p = 1-pmvnorm(c(l,g), mean=c(l_mean, g_mean), sigma=sigma)[1]
result = cbind(result, c(l, g, p))
}
}
result = t(result)
colnames(result) = c("length", "girth", "percentile")
result
}
vol_sim = function(l_mean, l_sd, g_mean, g_sd, correlation, n=1000000) {
covariance = correlation * l_sd * g_sd # correlation coefficient * sd(length) * sd(girth)
sigma = matrix(c(l_sd^2, covariance, covariance, g_sd^2),nrow = 2, byrow=T)
# simulate volume
sim = rmvnorm(n, mean=c(l_mean, g_mean), sigma=sigma)
vol = sim[,1] * (sim[,2]/2/pi)^2*pi
vol_cdf = ecdf(vol)
vol_range = seq(0,35,by=0.01)
vol_quant = vol_cdf(vol_range)
vol_mat = cbind(vol_range, vol_quant)
colnames(vol_mat) = c("volume", "percentile")
vol_mat
}
hungfun = percentile (5.76, 0.83, 4.67, 0.54, .46)
write.csv(hungfun, "hungfun.csv", row.names = F)
herbenick = percentile(5.57, 1.04, 4.81, 0.88, .46)
write.csv(herbenick, "herbenick.csv", row.names = F)
hungfun_vol = vol_sim(5.76, 0.83, 4.67, 0.54, .46)
write.csv(hungfun_vol, "hungfun_vol.csv", row.names=FALSE)
herbenick_vol = vol_sim(5.57, 1.04, 4.81, 0.88, .46)
write.csv(herbenick_vol, "herbenick_vol.csv", row.names=FALSE)
length girth percentile
2 2 0.000988247214201543
2 2.1 0.00131710929337192
2 2.2 0.00178442675681245
2 2.3 0.00243982933835662
2 2.4 0.00334705031454485
2 2.5 0.00458652252706937
2 2.6 0.00625795331753487
2 2.7 0.0084826775486333
2 2.8 0.0114055351951707
2 2.9 0.0151959750221835
2 3 0.0200480565653749
2 3.1 0.0261790175209994
2 3.2 0.0338261008096689
2 3.3 0.043241401307439
2 3.4 0.0546845996580672
2 3.5 0.0684135983030968
2 3.6 0.0846732560185607
2 3.7 0.103682619102868
2 3.8 0.125621251786494
2 3.9 0.150615453259676
2 4 0.178725289996118
2 4.1 0.209933447034524
2 4.2 0.244136892299969
2 4.3 0.281142243283821
2 4.4 0.320665524961185
2 4.5 0.36233672265674
2 4.6 0.405709185855598
2 4.7 0.450273560251153
2 4.8 0.495475553177655
2 4.9 0.540736511049253
2 5 0.585475542108519
2 5.1 0.62913178107816
2 5.2 0.671185379699432
2 5.3 0.711175920070354
2 5.4 0.748717173356786
2 5.5 0.783507439548463
2 5.6 0.815335070146496
2 5.7 0.84407915622001
2 5.8 0.869705720911306
2 5.9 0.892260055131242
2 6 0.911856053618308
2 6.1 0.92866353248882
2 6.2 0.942894537172927
2 6.3 0.954789590006248
2 6.4 0.964604696739906
2 6.5 0.972599752998081
2 6.6 0.979028789235687
2 6.7 0.984132288774556
2 6.8 0.988131627103806
2 6.9 0.991225525675153
2 7 0.993588297917538
2 7.1 0.995369591527985
2 7.2 0.996695296914966
2 7.3 0.997669291162501
2 7.4 0.998375712195136
2 7.5 0.998881500411546
2 7.6 0.999238996790811
2 7.7 0.999488440433657
2 7.8 0.999660259392344
2 7.9 0.999777092942101
2 8 0.999855519274495
2.1 2 0.00110949554170847
2.1 2.1 0.00143704322290172
2.1 2.2 0.00190272400495461
2.1 2.3 0.00255612165642971
2.1 2.4 0.0034609264367238
2.1 2.5 0.00469753405652418
2.1 2.6 0.00636562373171901
2.1 2.7 0.00858651426507939
2.1 2.8 0.0115050443614183
2.1 2.9 0.015290678404975
2.1 3 0.0201375096481456
2.1 3.1 0.0262628277098644
2.1 3.2 0.0339039445281357
2.1 3.3 0.0433130387520159
2.1 3.4 0.0547498861009682
2.1 3.5 0.0684724910591777
2.1 3.6 0.0847258165205387
2.1 3.7 0.103729009917585
2.1 3.8 0.125661728812447
2.1 3.9 0.150650353726577
2.1 4 0.178755017199017
2.1 4.1 0.20995845294592
2.1 4.2 0.244157659295224
2.1 4.3 0.28115926618573
2.1 4.4 0.320679294471488
2.1 4.5 0.362347711020684
2.1 4.6 0.405717835332902
2.1 4.7 0.450280274677866
2.1 4.8 0.495480692630711
2.1 4.9 0.54074038939489
2.1 5 0.585478427043811
2.1 5.1 0.629133896168824
2.1 5.2 0.671186907874983
2.1 5.3 0.711177008050708
2.1 5.4 0.748717936539325
2.1 5.5 0.783507966966351
2.1 5.6 0.815335429203166
2.1 5.7 0.844079396998888
2.1 5.8 0.869705879945008
2.1 5.9 0.892260158584909
2.1 6 0.911856119895068
2.1 6.1 0.928663574301693
2.1 6.2 0.94289456314871
2.1 6.3 0.954789605895935
2.1 6.4 0.9646047063103
2.1 6.5 0.972599758673439
2.1 6.6 0.979028792549194
2.1 6.7 0.984132290679127
2.1 6.8 0.988131628181527
2.1 6.9 0.991225526275497
2.1 7 0.993588298246742
2.1 7.1 0.995369591705686
2.1 7.2 0.996695297009385
2.1 7.3 0.997669291211883
2.1 7.4 0.998375712220557
2.1 7.5 0.998881500424427
2.1 7.6 0.999238996797235
2.1 7.7 0.99948844043681
2.1 7.8 0.999660259393867
2.1 7.9 0.999777092942825
2.1 8 0.999855519274834
2.2 2 0.00127716415194634
2.2 2.1 0.00160305609595068
2.2 2.2 0.00206666200783134
2.2 2.3 0.00271750173154872
2.2 2.4 0.00361920421430395
2.2 2.5 0.00485211034520749
2.2 2.6 0.00651585524545695
2.2 2.7 0.00873172864189209
2.2 2.8 0.011644559163424
2.2 2.9 0.0154238233922567
2.2 3 0.0202636512346196
2.2 3.1 0.026381394185286
2.2 3.2 0.0340144504128834
2.2 3.3 0.0434151065774531
2.2 3.4 0.0548432639995218
2.2 3.5 0.068557064806095
2.2 3.6 0.0848016150730159
2.2 3.7 0.103796204005997
2.2 3.8 0.125720622697289
2.2 3.9 0.150701370780855
2.2 4 0.178798680448402
2.2 4.1 0.209995362047796
2.2 4.2 0.244188465629722
2.2 4.3 0.281184647755275
2.2 4.4 0.320699932170064
2.2 4.5 0.36236426756848
2.2 4.6 0.405730937817814
2.2 4.7 0.450290501250305
2.2 4.8 0.495488563508966
2.2 4.9 0.540746361994453
2.2 5 0.585482894773842
2.2 5.1 0.629137190257142
2.2 5.2 0.671189301491685
2.2 5.3 0.711178721990805
2.2 5.4 0.74871914578046
2.2 5.5 0.783508807518392
2.2 5.6 0.815336004791765
2.2 5.7 0.844079785256594
2.2 5.8 0.869706137906852
2.2 5.9 0.892260327390952
2.2 6 0.911856228685206
2.2 6.1 0.92866364334698
2.2 6.2 0.942894606300356
2.2 6.3 0.954789632451594
2.2 6.4 0.964604722401643
2.2 6.5 0.972599768273711
2.2 6.6 0.979028798188333
2.2 6.7 0.98413229394022
2.2 6.8 0.988131630038129
2.2 6.9 0.991225527316052
2.2 7 0.993588298820843
2.2 7.1 0.995369592017485
2.2 7.2 0.996695297176077
2.2 7.3 0.997669291299601
2.2 7.4 0.998375712265993
2.2 7.5 0.998881500447591
2.2 7.6 0.999238996808859
2.2 7.7 0.999488440442551
2.2 7.8 0.999660259396658
2.2 7.9 0.99977709294416
2.2 8 0.999855519275463
2.3 2 0.00150681663482521
2.3 2.1 0.00183064714508141
2.3 2.2 0.00229165330946857
2.3 2.3 0.00293926757974838
2.3 2.4 0.00383703321845841
2.3 2.5 0.00506521215484301
2.3 2.6 0.00672337291163405
2.3 2.7 0.00893275686399697
2.3 2.8 0.0118381681995714
2.3 2.9 0.0156090878796455
2.3 3 0.0204396826271819
2.3 3.1 0.0265473750336986
2.3 3.2 0.0341696683515864
2.3 3.3 0.0435589857013867
2.3 3.4 0.0549753913484663
2.3 3.5 0.0686772099397792
2.3 3.6 0.0849097411990749
2.3 3.7 0.103892469769991
2.3 3.8 0.125805374490425
2.3 3.9 0.150775126183674
2.3 4 0.178862104122173
2.3 4.1 0.210049235934039
2.3 4.2 0.244233655667268
2.3 4.3 0.281222069445706
2.3 4.4 0.320730517218603
2.3 4.5 0.362388933527987
2.3 4.6 0.40575056221962
2.3 4.7 0.450305901180093
2.3 4.8 0.495500481044349
2.3 4.9 0.540755455421877
2.3 5 0.585489735090987
2.3 5.1 0.629142262170586
2.3 5.2 0.671193007947624
2.3 5.3 0.711181391222245
2.3 5.4 0.748721039898684
2.3 5.5 0.783510131793495
2.3 5.6 0.815336916928289
2.3 5.7 0.844080404149203
2.3 5.8 0.869706551535585
2.3 5.9 0.892260599670335
2.3 6 0.911856405207073
2.3 6.1 0.928663756049894
2.3 6.2 0.942894677160132
2.3 6.3 0.954789676321763
2.3 6.4 0.964604749145392
2.3 6.5 0.972599784326066
2.3 6.6 0.979028807674703
2.3 6.7 0.984132299459582
2.3 6.8 0.988131633199598
2.3 6.9 0.99122552909878
2.3 7 0.993588299810451
2.3 7.1 0.995369592558253
2.3 7.2 0.996695297466957
2.3 7.3 0.997669291453616
2.3 7.4 0.998375712346261
2.3 7.5 0.998881500488768
2.3 7.6 0.99923899682965
2.3 7.7 0.999488440452883
2.3 7.8 0.999660259401712
2.3 7.9 0.999777092946593
2.3 8 0.999855519276616
2.4 2 0.00181837870595902
2.4 2.1 0.0021396725646412
2.4 2.2 0.00259745925543886
2.4 2.3 0.00324105370451522
2.4 2.4 0.00413388162354333
2.4 2.5 0.00535609372596568
2.4 2.6 0.00700716100346332
2.4 2.7 0.00920824888424732
2.4 2.8 0.0121041150532671
2.4 2.9 0.0158642305394766
2.4 3 0.0206827943607594
2.4 3.1 0.0267773071256474
2.4 3.2 0.0343853965967277
2.4 3.3 0.0437596545974502
2.4 3.4 0.0551603528459459
2.4 3.5 0.0688460538447403
2.4 3.6 0.0850623148653902
2.4 3.7 0.104028885513914
2.4 3.8 0.125926004130484
2.4 3.9 0.150880583145899
2.4 4 0.178953214538283
2.4 4.1 0.210127000989299
2.4 4.2 0.244299208038444
2.4 4.3 0.281276626955411
2.4 4.4 0.320775336807551
2.4 4.5 0.362425268337768
2.4 4.6 0.405779624044579
2.4 4.7 0.450328829868322
2.4 4.8 0.495518321693511
2.4 4.9 0.54076914350977
2.4 5 0.5855000890723
2.4 5.1 0.629149982607029
2.4 5.2 0.671198681940486
2.4 5.3 0.711185500783308
2.4 5.4 0.748723972907289
2.4 5.5 0.783512194312169
2.4 5.6 0.81533834584867
2.4 5.7 0.844081379376633
2.4 5.8 0.869707207162225
2.4 5.9 0.892261033808347
2.4 6 0.911856688339578
2.4 6.1 0.928663937900485
2.4 6.2 0.942894792181137
2.4 6.3 0.954789747961385
2.4 6.4 0.964604793081443
2.4 6.5 0.972599810857445
2.4 6.6 0.979028823449021
2.4 6.7 0.984132308693275
2.4 6.8 0.988131638520899
2.4 6.9 0.991225532117773
2.4 7 0.993588301496592
2.4 7.1 0.995369593485294
2.4 7.2 0.996695297968682
2.4 7.3 0.997669291720905
2.4 7.4 0.998375712486425
2.4 7.5 0.998881500561114
2.4 7.6 0.999238996866404
2.4 7.7 0.999488440471262
2.4 7.8 0.999660259410757
2.4 7.9 0.999777092950975
2.4 8 0.999855519278704
2.5 2 0.00223705875466529
2.5 2.1 0.00255526753843971
2.5 2.2 0.00300911372295409
2.5 2.3 0.00364775667919126
2.5 2.4 0.00453446365839683
2.5 2.5 0.0057492319060567
2.5 2.6 0.00739139333097694
2.5 2.7 0.00958199904789192
2.5 2.8 0.0124657278572216
2.5 2.9 0.0162120173821354
2.5 3 0.0210150871770864
2.5 3.1 0.0270925182422679
2.5 3.2 0.0346820811136742
2.5 3.3 0.0440365713209561
2.5 3.4 0.0554165195496881
2.5 3.5 0.0690807927931489
2.5 3.6 0.0852752851041334
2.5 3.7 0.104220099377478
2.5 3.8 0.126095826641983
2.5 3.9 0.151029714357524
2.5 4 0.179082656228646
2.5 4.1 0.210238010343608
2.5 4.2 0.244393241858823
2.5 4.3 0.281355280492154
2.5 4.4 0.320840281429323
2.5 4.5 0.36247819198561
2.5 4.6 0.405822177804562
2.5 4.7 0.450362583149651
2.5 4.8 0.495544727529664
2.5 4.9 0.540789514527079
2.5 5 0.585515583794944
2.5 5.1 0.629161601064666
2.5 5.2 0.671207269057132
2.5 5.3 0.711191755763638
2.5 5.4 0.748728462781282
2.5 5.5 0.783515369913072
2.5 5.6 0.81534055873366
2.5 5.7 0.844082898502873
2.5 5.8 0.869708234456694
2.5 5.9 0.892261718080431
2.5 6 0.911857137255206
2.5 6.1 0.928664227951366
2.5 6.2 0.942894976738273
2.5 6.3 0.954789863601955
2.5 6.4 0.964604864430725
2.5 6.5 0.972599854203329
2.5 6.6 0.979028849376802
2.5 6.7 0.984132323962738
2.5 6.8 0.988131647374214
2.5 6.9 0.991225537171317
2.5 7 0.993588304336335
2.5 7.1 0.995369595056167
2.5 7.2 0.996695298824081
2.5 7.3 0.997669292179417
2.5 7.4 0.998375712728346
2.5 7.5 0.998881500686754
2.5 7.6 0.999238996930629
2.5 7.7 0.999488440503576
2.5 7.8 0.999660259426759
2.5 7.9 0.999777092958774
2.5 8 0.999855519282446
2.6 2 0.00279436497103625
2.6 2.1 0.00310886537618849
2.6 2.2 0.00355794469801696
2.6 2.3 0.00419055957388637
2.6 2.4 0.00506976720956143
2.6 2.5 0.0062753570929821
2.6 2.6 0.00790646742684242
2.6 2.7 0.0100839830469609
2.6 2.8 0.0129524580441832
2.6 2.9 0.0166812607119053
2.6 3 0.0214646088693345
2.6 3.1 0.0275201586899028
2.6 3.2 0.0350858380095757
2.6 3.3 0.0444146819802868
2.6 3.4 0.0557675378875543
2.6 3.5 0.0694036554108519
2.6 3.6 0.0855693614843119
2.6 3.7 0.104485222261443
2.6 3.8 0.126332300163176
2.6 3.9 0.151238299275478
2.6 4 0.179264533451841
2.6 4.1 0.210394725640466
2.6 4.2 0.244526636046076
2.6 4.3 0.28146741031662
2.6 4.4 0.320933336744512
2.6 4.5 0.362554414661767
2.6 4.6 0.4058837871612
2.6 4.7 0.450411711678783
2.6 4.8 0.495583369434475
2.6 4.9 0.540819488292954
2.6 5 0.585538508782715
2.6 5.1 0.629178887084403
2.6 5.2 0.671220117118331
2.6 5.3 0.711201167733829
2.6 5.4 0.74873525750947
2.6 5.5 0.78352020344568
2.6 5.6 0.815343946507862
2.6 5.7 0.844085237777309
2.6 5.8 0.869709825667166
2.6 5.9 0.892262784233349
2.6 6 0.911857840853991
2.6 6.1 0.928664685265935
2.6 6.2 0.942895269464883
2.6 6.3 0.954790048121083
2.6 6.4 0.964604978963353
2.6 6.5 0.972599924204287
2.6 6.6 0.979028891502338
2.6 6.7 0.984132348922174
2.6 6.8 0.988131661933981
2.6 6.9 0.99122554553289
2.6 7 0.993588309063711
2.6 7.1 0.995369597687263
2.6 7.2 0.996695300265612
2.6 7.3 0.997669292956862
2.6 7.4 0.998375713141072
2.6 7.5 0.998881500902424
2.6 7.6 0.999238997041557
2.6 7.7 0.999488440559734
2.6 7.8 0.999660259454742
2.6 7.9 0.999777092972497
2.6 8 0.99985551928907
2.7 2 0.00352919794187834
2.7 2.1 0.00383929263725336
2.7 2.2 0.00428267259081294
2.7 2.3 0.00490803417114827
2.7 2.4 0.00577816063595316
2.7 2.5 0.00697256525775602
2.7 2.6 0.00859012219106403
2.7 2.7 0.0107514812759775
2.7 2.8 0.0136010090303132
2.7 2.9 0.0173079521262954
2.7 3 0.0220664898067325
2.7 3.1 0.0280943366517953
2.7 3.2 0.0356295850177659
2.7 3.3 0.0449255436322269
2.7 3.4 0.0562434382548723
2.7 3.5 0.0698429904010236
2.7 3.6 0.0859710737209916
2.7 3.7 0.104848851692008
2.7 3.8 0.126658006378491
2.7 3.9 0.151526853746839
2.7 4 0.179517282311079
2.7 4.1 0.210613525979885
2.7 4.2 0.244713770734114
2.7 4.3 0.281625487798858
2.7 4.4 0.321065183090008
2.7 4.5 0.36266296517608
2.7 4.6 0.40597198426724
2.7 4.7 0.450482414591943
2.7 4.8 0.495639279611646
2.7 4.9 0.540863092922975
2.7 5 0.585572042909468
2.7 5.1 0.629204313481844
2.7 5.2 0.671239121888081
2.7 5.3 0.711215168831765
2.7 5.4 0.74874542303382
2.7 5.5 0.78352747649496
2.7 5.6 0.815349073670735
2.7 5.7 0.844088798760354
2.7 5.8 0.869712262111754
2.7 5.9 0.892264426340961
2.7 6 0.911858930969296
2.7 6.1 0.92866539801848
2.7 6.2 0.942895728422569
2.7 6.3 0.954790339158022
2.7 6.4 0.964605160699416
2.7 6.5 0.972600035949594
2.7 6.6 0.979028959156087
2.7 6.7 0.984132389250434
2.7 6.8 0.988131685602121
2.7 6.9 0.991225559208255
2.7 7 0.993588316842611
2.7 7.1 0.995369602043256
2.7 7.2 0.996695302666833
2.7 7.3 0.997669294259849
2.7 7.4 0.998375713837056
2.7 7.5 0.998881501268354
2.7 7.6 0.999238997230934
2.7 7.7 0.9994884406562
2.7 7.8 0.999660259503106
2.7 7.9 0.999777092996364
2.7 8 0.999855519300661
2.8 2 0.00448898566795664
2.8 2.1 0.00479390714077421
2.8 2.2 0.00523055214613022
2.8 2.3 0.00584728781147204
2.8 2.4 0.0067065456687061
2.8 2.5 0.00788747803018774
2.8 2.6 0.00948860620101388
2.8 2.7 0.0116302561735543
2.8 2.8 0.0144565229958133
2.8 2.9 0.0181364585538044
2.8 3 0.0228641472608794
2.8 3.1 0.0288573288608965
2.8 3.2 0.0363542554467721
2.8 3.3 0.045608537208392
2.8 3.4 0.0568818413659712
2.8 3.5 0.0704344595810062
2.8 3.6 0.0865139436354295
2.8 3.7 0.105342214182884
2.8 3.8 0.127101754349793
2.8 3.9 0.15192168637549
2.8 4 0.179864671162908
2.8 4.1 0.210915644752723
2.8 4.2 0.244973394188019
2.8 4.3 0.28184586765865
2.8 4.4 0.32124991009607
2.8 4.5 0.362815826908099
2.8 4.6 0.406096827888086
2.8 4.7 0.45058302238352
2.8 4.8 0.495719263315572
2.8 4.9 0.540925810718387
2.8 5 0.585620540627808
2.8 5.1 0.629241289613626
2.8 5.2 0.67126691426164
2.8 5.3 0.711235759648187
2.8 5.4 0.748760458260212
2.8 5.5 0.783538295418729
2.8 5.6 0.815356744620333
2.8 5.7 0.844094157494273
2.8 5.8 0.869715950050106
2.8 5.9 0.892266926553837
2.8 6 0.911860600554091
2.8 6.1 0.928666496131322
2.8 6.2 0.942896439740281
2.8 6.3 0.954790792923787
2.8 6.4 0.964605445753003
2.8 6.5 0.972600212279095
2.8 6.6 0.979029066556449
2.8 6.7 0.984132453659785
2.8 6.8 0.988131723632965
2.8 6.9 0.991225581316262
2.8 7 0.993588329495034
2.8 7.1 0.995369609171673
2.8 7.2 0.996695306620443
2.8 7.3 0.997669296418401
2.8 7.4 0.998375714997133
2.8 7.5 0.998881501882052
2.8 7.6 0.999238997550497
2.8 7.7 0.999488440819987
2.8 7.8 0.999660259585732
2.8 7.9 0.99977709303739
2.8 8 0.99985551932071
2.9 2 0.00573081451776936
2.9 2.1 0.00602973227787285
2.9 2.2 0.00645851125931673
2.9 2.3 0.00706510808074279
2.9 2.4 0.00791150953634423
2.9 2.5 0.00907640397025178
2.9 2.6 0.0106578498844299
2.9 2.7 0.0127757369612493
2.9 2.8 0.0155737795818953
2.9 2.9 0.0192207358117573
2.9 3 0.023910513995604
2.9 3.1 0.0298608234132032
2.9 3.2 0.0373100531987579
2.9 3.3 0.0465121313256847
2.9 3.4 0.0577292259367921
2.9 3.5 0.0712223029955004
2.9 3.6 0.0872397398349
2.9 3.7 0.106004400415862
2.9 3.8 0.127699786265723
2.9 3.9 0.152456064474489
2.9 4 0.18033691647119
2.9 4.1 0.211328225683379
2.9 4.2 0.245329610417028
2.9 4.3 0.282149700069197
2.9 4.4 0.321505848084913
2.9 4.5 0.363028685406845
2.9 4.6 0.406271566288527
2.9 4.7 0.450724576281946
2.9 4.8 0.495832397845046
2.9 4.9 0.541015001541069
2.9 5 0.585689885762104
2.9 5.1 0.629294452502866
2.9 5.2 0.671307096119508
2.9 5.3 0.711265697320374
2.9 5.4 0.748782442703242
2.9 5.5 0.783554205406213
2.9 5.6 0.815368090362027
2.9 5.7 0.844102129364857
2.9 5.8 0.869721468422484
2.9 5.9 0.892270689668906
2.9 6 0.911863128308926
2.9 6.1 0.928668168535445
2.9 6.2 0.942897529514735
2.9 6.3 0.954791492272238
2.9 6.4 0.964605887716813
2.9 6.5 0.972600487316793
2.9 6.6 0.979029235090701
2.9 6.7 0.984132555344133
2.9 6.8 0.988131784037698
2.9 6.9 0.99122561664442
2.9 7 0.993588349836751
2.9 7.1 0.995369620702364
2.9 7.2 0.996695313054867
2.9 7.3 0.997669299952975
2.9 7.4 0.998375716908415
2.9 7.5 0.99888150289938
2.9 7.6 0.999238998083505
2.9 7.7 0.999488441094861
2.9 7.8 0.999660259725257
2.9 7.9 0.999777093107096
2.9 8 0.999855519354987
3 2 0.00732249534041618
3 2.1 0.00761452670274143
3 2.2 0.00803422560308376
3 2.3 0.00862904405530118
3 2.4 0.00946041483821269
3 2.5 0.0106064393767097
3 2.6 0.0121645797925758
3 2.7 0.0142541500075617
3 2.8 0.0170183448878241
3 2.9 0.0206254984597366
3 3 0.0252692306017457
3 3.1 0.0311671353033914
3 3.2 0.0385576910102434
3 3.3 0.0476951412395217
3 3.4 0.0588422046420964
3 3.5 0.0722606263298499
3 3.6 0.0881997691948581
3 3.7 0.106883651706907
3 3.8 0.128497048396252
3 3.9 0.153171458024848
3 4 0.180971887826423
3 4.1 0.211885477102933
3 4.2 0.245812971646071
3 4.3 0.282563951602126
3 4.4 0.321856509588954
3 4.5 0.363321784774844
3 4.6 0.406513405182332
3 4.7 0.450921506921415
3 4.8 0.495990623440842
3 4.9 0.541140409539571
3 5 0.585787919409731
3 5.1 0.629370022584329
3 5.2 0.671364531458256
3 5.3 0.711308730025538
3 5.4 0.748814222358632
3 5.5 0.783577335454558
3 5.6 0.81538467976924
3 5.7 0.844113853108628
3 5.8 0.869729631251267
3 5.9 0.892276288728427
3 6 0.911866911459568
3 6.1 0.928670686346933
3 6.2 0.942899179929823
3 6.3 0.954792557727487
3 6.4 0.964606565082246
3 6.5 0.97260091138164
3 6.6 0.979029496511606
3 6.7 0.984132714025566
3 6.8 0.988131878873013
3 6.9 0.991225672446965
3 7 0.993588382163409
3 7.1 0.995369639138701
3 7.2 0.996695323405826
3 7.3 0.997669305673881
3 7.4 0.998375720020949
3 7.5 0.998881504566307
3 7.6 0.999238998962245
3 7.7 0.99948844155083
3 7.8 0.999660259958136
3 7.9 0.999777093224164
3 8 0.999855519412909
3.1 2 0.00934348974127619
3.1 2.1 0.00962771421879427
3.1 2.2 0.0100370536462889
3.1 2.3 0.0106183484039294
3.1 2.4 0.0114323511445517
3.1 2.5 0.0125564322687856
3.1 2.6 0.0140872982749407
3.1 2.7 0.016143517836659
3.1 2.8 0.0188675936188909
3.1 2.9 0.0224272688199114
3.1 3 0.0270157247475492
3.1 3.1 0.0328503185307512
3.1 3.2 0.0401695369200392
3.1 3.3 0.049227909677255
3.1 3.4 0.0602887374732053
3.1 3.5 0.0736146428489336
3.1 3.6 0.0894561412003005
3.1 3.7 0.108038638357246
3.1 3.8 0.129548473040935
3.1 3.9 0.154118813155884
3.1 4 0.181816359762321
3.1 4.1 0.212629888414778
3.1 4.2 0.246461645957558
3.1 4.3 0.28312251149837
3.1 4.4 0.322331623285163
3.1 4.5 0.363720880425131
3.1 4.6 0.406844372983432
3.1 4.7 0.451192408476195
3.1 4.8 0.496209425425199
3.1 4.9 0.541314754987416
3.1 5 0.585924945433101
3.1 5.1 0.629476228647237
3.1 5.2 0.671445697941132
3.1 5.3 0.711369883156871
3.1 5.4 0.748859638907437
3.1 5.5 0.783610578969348
3.1 5.6 0.815408659571808
3.1 5.7 0.844130897550097
3.1 5.8 0.869741567692612
3.1 5.9 0.89228452407238
3.1 6 0.91187250860231
3.1 6.1 0.928674433441235
3.1 6.2 0.942901650714456
3.1 6.3 0.954794162294946
3.1 6.4 0.964607591293654
3.1 6.5 0.972601557699836
3.1 6.6 0.979029897344478
3.1 6.7 0.984132958799992
3.1 6.8 0.988132026048128
3.1 6.9 0.991225759573331
3.1 7 0.993588432943586
3.1 7.1 0.995369668276174
3.1 7.2 0.996695339864974
3.1 7.3 0.99766931482652
3.1 7.4 0.998375725031155
3.1 7.5 0.998881507266049
3.1 7.6 0.999239000394219
3.1 7.7 0.999488442298452
3.1 7.8 0.999660260342333
3.1 7.9 0.999777093418494
3.1 8 0.999855519509655
3.2 2 0.0118856085851925
3.2 2.1 0.0121610857047095
3.2 2.2 0.0125587436204732
3.2 2.3 0.0131246915365874
3.2 2.4 0.0139188590681286
3.2 2.5 0.0150177197688132
3.2 2.6 0.0165170382137664
3.2 2.7 0.0185344358534234
3.2 2.8 0.0212115129076229
3.2 2.9 0.0247152132497377
3.2 3 0.0292380852008681
3.2 3.1 0.0349970827222715
3.2 3.2 0.042230577445757
3.2 3.3 0.0511933191385606
3.2 3.4 0.0621491938788405
3.2 3.5 0.0753617838303284
3.2 3.6 0.0910829225595522
3.2 3.7 0.109539651631582
3.2 3.8 0.130920198401858
3.2 3.9 0.155359788049022
3.2 4 0.182927249894672
3.2 4.1 0.213613455377919
3.2 4.2 0.247322614097023
3.2 4.3 0.283867344668128
3.2 4.4 0.322968228970904
3.2 4.5 0.364258263658635
3.2 4.6 0.40729226504598
3.2 4.7 0.451560895463072
3.2 4.8 0.49650859949546
3.2 4.9 0.541554407002506
3.2 5 0.586114312327849
3.2 5.1 0.629623802989342
3.2 5.2 0.671559101406014
3.2 5.3 0.711455800644692
3.2 5.4 0.748923806155447
3.2 5.5 0.783657813964948
3.2 5.6 0.815442926859249
3.2 5.7 0.8441553945009
3.2 5.8 0.869758822724998
3.2 5.9 0.892296498355786
3.2 6 0.911880694665563
3.2 6.1 0.928679946050702
3.2 6.2 0.942905307195884
3.2 6.3 0.954796551004963
3.2 6.4 0.964609128136772
3.2 6.5 0.972602531423808
3.2 6.6 0.979030504861489
3.2 6.7 0.98413333202868
3.2 6.8 0.988132251817426
3.2 6.9 0.991225894038178
3.2 7 0.993588511791224
3.2 7.1 0.995369713794669
3.2 7.2 0.996695365734634
3.2 7.3 0.997669329300318
3.2 7.4 0.998375733002829
3.2 7.5 0.998881511587992
3.2 7.6 0.999239002700747
3.2 7.7 0.999488443510104
3.2 7.8 0.999660260968839
3.2 7.9 0.999777093737347
3.2 8 0.999855519669377
3.3 2 0.0150533845733745
3.3 2.1 0.0153191746885296
3.3 2.2 0.0157038137158088
3.3 2.3 0.0162525486493931
3.3 2.4 0.0170243271053481
3.3 2.5 0.0180945385060604
3.3 2.6 0.0195577916394523
3.3 2.7 0.0215305247060621
3.3 2.8 0.024153184770521
3.3 2.9 0.0275916616769789
3.3 3 0.0320376257793593
3.3 3.1 0.0377074087913069
3.3 3.2 0.0448390917046824
3.3 3.3 0.0536875301244744
3.3 3.4 0.0645171590422534
3.3 3.5 0.0775925745494229
3.3 3.6 0.0931670817885961
3.3 3.7 0.111469612721804
3.3 3.8 0.132690634452129
3.3 3.9 0.156967865072659
3.3 4 0.184372763859405
3.3 4.1 0.214898842134046
3.3 4.2 0.248452831392946
3.3 4.3 0.284849635726546
3.3 4.4 0.323811786313855
3.3 4.5 0.364973819027699
3.3 4.6 0.407891635656975
3.3 4.7 0.452056518132426
3.3 4.8 0.496913082451525
3.3 4.9 0.541880124888706
3.3 5 0.586373063729628
3.3 5.1 0.62982654263775
3.3 5.2 0.671715751908245
3.3 5.3 0.711575141943102
3.3 5.4 0.749013435506292
3.3 5.5 0.783724165400962
3.3 5.6 0.815491336956691
3.3 5.7 0.84419020069879
3.3 5.8 0.869783481172075
3.3 5.9 0.892313709929475
3.3 6 0.911892530032789
3.3 6.1 0.928687963068278
3.3 6.2 0.94291065629082
3.3 6.3 0.954800066229899
3.3 6.4 0.964611403247654
3.3 6.5 0.972603981537488
3.3 6.6 0.979031415040669
3.3 6.7 0.984133894569711
3.3 6.8 0.988132594161394
3.3 6.9 0.991226099169748
3.3 7 0.993588632807899
3.3 7.1 0.995369784083059
3.3 7.2 0.996695405925888
3.3 7.3 0.997669351924562
3.3 7.4 0.998375745539929
3.3 7.5 0.99888151842691
3.3 7.6 0.999239006373001
3.3 7.7 0.999488445451085
3.3 7.8 0.999660261978655
3.3 7.9 0.99977709425446
3.3 8 0.999855519930017
3.4 2 0.0189640148366151
3.4 2.1 0.0192192022742166
3.4 2.2 0.0195895008696613
3.4 2.3 0.0201191545580343
3.4 2.4 0.0208659555116738
3.4 2.5 0.0219040015003245
3.4 2.6 0.0233265046864551
3.4 2.7 0.025248449554789
3.4 2.8 0.0278088371066854
3.4 2.9 0.0311721988176772
3.4 3 0.035529026118275
3.4 3.1 0.0410947490565171
3.4 3.2 0.0481069206483653
3.4 3.3 0.0568203285891162
3.4 3.4 0.0674998672814725
3.4 3.5 0.080411159256578
3.4 3.6 0.0958091085999728
3.4 3.7 0.113924786015003
3.4 3.8 0.134951265797047
3.4 3.9 0.159029235057997
3.4 4 0.186233349076072
3.4 4.1 0.216560389218812
3.4 4.2 0.24992027216673
3.4 4.3 0.286130850262011
3.4 4.4 0.324917232800806
3.4 4.5 0.365916059246226
3.4 4.6 0.408684791688298
3.4 4.7 0.452715699039122
3.4 4.8 0.497453818940697
3.4 4.9 0.542317845810166
3.4 5 0.586722641421655
3.4 5.1 0.630101925628922
3.4 5.2 0.671929694412808
3.4 5.3 0.711739030973067
3.4 5.4 0.749137209089196
3.4 5.5 0.783816309881954
3.4 5.6 0.815558947915718
3.4 5.7 0.844239090584382
3.4 5.8 0.869818317075433
3.4 5.9 0.892338166585671
3.4 6 0.911909445668802
3.4 6.1 0.928699488662376
3.4 6.2 0.942918391773597
3.4 6.3 0.95480517985225
3.4 6.4 0.964614732582053
3.4 6.5 0.972606116284064
3.4 6.6 0.979032762978851
3.4 6.7 0.984134732686991
3.4 6.8 0.988133107293136
3.4 6.9 0.991226408499617
3.4 7 0.993588816404548
3.4 7.1 0.995369891368271
3.4 7.2 0.996695467646566
3.4 7.3 0.997669386880567
3.4 7.4 0.998375765029341
3.4 7.5 0.998881529123566
3.4 7.6 0.999239012152058
3.4 7.7 0.999488448524446
3.4 7.8 0.999660263587473
3.4 7.9 0.999777095083407
3.4 8 0.999855520350416
3.5 2 0.0237467695256123
3.5 2.1 0.0239904871834902
3.5 2.2 0.0243451735821344
3.5 2.3 0.0248539212793227
3.5 2.4 0.0255731815111023
3.5 2.5 0.0265755349404099
3.5 2.6 0.0279525311606957
3.5 2.7 0.0298173970899324
3.5 2.8 0.0323073523645109
3.5 2.9 0.0355852142165104
3.5 3 0.0398399341922054
3.5 3.1 0.0452856944301231
3.5 3.2 0.0521592117020315
3.5 3.3 0.0607149607701909
3.5 3.4 0.0712181389836077
3.5 3.5 0.0839353504304896
3.5 3.6 0.0991231831055465
3.5 3.7 0.117015072470702
3.5 3.8 0.137807069381163
3.5 3.9 0.16164333499523
3.5 4 0.188602343472121
3.5 4.1 0.218684859946041
3.5 4.2 0.251804756553052
3.5 4.3 0.287783621866386
3.5 4.4 0.326349908833548
3.5 4.5 0.367143065508911
3.5 4.6 0.409722725843964
3.5 4.7 0.453582638629493
3.5 4.8 0.498168621480984
3.5 4.9 0.542899484754972
3.5 5 0.587189614575738
3.5 5.1 0.630471762817607
3.5 5.2 0.67221858025412
3.5 5.3 0.711961547714197
3.5 5.4 0.749306194800143
3.5 5.5 0.783942819643672
3.5 5.6 0.815652300435294
3.5 5.7 0.844306979989589
3.5 5.8 0.869866969254601
3.5 5.9 0.892372520900301
3.5 6 0.911933345617295
3.5 6.1 0.928715868538387
3.5 6.2 0.942929450026245
3.5 6.3 0.954812533311253
3.5 6.4 0.964619548683403
3.5 6.5 0.972609222775133
3.5 6.6 0.979034736260133
3.5 6.7 0.984135967007699
3.5 6.8 0.988133867557492
3.5 6.9 0.991226869581319
3.5 7 0.993589091731218
3.5 7.1 0.995370053235017
3.5 7.2 0.99669556133565
3.5 7.3 0.99766944026646
3.5 7.4 0.998375794976482
3.5 7.5 0.998881545660756
3.5 7.6 0.999239021141496
3.5 7.7 0.999488453334564
3.5 7.8 0.999660266120966
3.5 7.9 0.999777096396858
3.5 8 0.999855521020653
3.6 2 0.0295417698610959
3.6 2.1 0.0297732241988377
3.6 2.2 0.0301111117583868
3.6 2.3 0.0305972209226593
3.6 2.4 0.0312864677613162
3.6 2.5 0.0322496758814338
3.6 2.6 0.033576444530745
3.6 2.7 0.0353779085347626
3.6 2.8 0.0377891301313017
3.6 2.9 0.0409708049649434
3.6 3 0.0451099216447045
3.6 3.1 0.0504189965845599
3.6 3.2 0.0571335233369025
3.6 3.3 0.0655073364680336
3.6 3.4 0.0758056988154784
3.6 3.5 0.0882960771024218
3.6 3.6 0.103236767335394
3.6 3.7 0.120863754253588
3.6 3.8 0.141376418031002
3.6 3.9 0.164922911402385
3.6 4 0.191586194253882
3.6 4.1 0.221371804721473
3.6 4.2 0.254198445363115
3.6 4.3 0.289892358109117
3.6 4.4 0.328186251952876
3.6 4.5 0.368723244950097
3.6 4.6 0.411065911582753
3.6 4.7 0.454710122501414
3.6 4.8 0.499102966857757
3.6 4.9 0.54366369984975
3.6 5 0.587806397507414
3.6 5.1 0.630962855760459
3.6 5.2 0.672604257091
3.6 5.3 0.712260246218023
3.6 5.4 0.749534291952227
3.6 5.5 0.784114538392181
3.6 5.6 0.815779728707562
3.6 5.7 0.844400178353205
3.6 5.8 0.869934142126731
3.6 5.9 0.892420227179627
3.6 6 0.911966727420445
3.6 6.1 0.928738880661661
3.6 6.2 0.942945077162451
3.6 6.3 0.954822986382071
3.6 6.4 0.964626435503564
3.6 6.5 0.972613691409927
3.6 6.6 0.979037591780862
3.6 6.7 0.984137763912737
3.6 6.8 0.988134981008472
3.6 6.9 0.991227548944007
3.6 7 0.99358949985964
3.6 7.1 0.995370294635352
3.6 7.2 0.996695701910411
3.6 7.3 0.997669520857922
3.6 7.4 0.998375840461431
3.6 7.5 0.998881570932147
3.6 7.6 0.99923903496315
3.6 7.7 0.999488460775848
3.6 7.8 0.999660270064458
3.6 7.9 0.999777098453924
3.6 8 0.999855522076836
3.7 2 0.036498055224948
3.7 2.1 0.0367165504722977
3.7 2.2 0.0370365728274638
3.7 2.3 0.0374984527813323
3.7 2.4 0.0381553724013265
3.7 2.5 0.0390761483524541
3.7 2.6 0.040348124650284
3.7 2.7 0.0420799833292217
3.7 2.8 0.0444042162305467
3.7 2.9 0.0474789410136033
3.7 3 0.0514886985883602
3.7 3.1 0.0566438479324717
3.7 3.2 0.0631781880726239
3.7 3.3 0.0713444945462735
3.7 3.4 0.0814077640604036
3.7 3.5 0.0936361162264494
3.7 3.6 0.108289498519157
3.7 3.7 0.125606566214094
3.7 3.8 0.14579034258259
3.7 3.9 0.168993480597691
3.7 4 0.195304118024509
3.7 4.1 0.224733416427074
3.7 4.2 0.257205879827683
3.7 4.3 0.29255344781445
3.7 4.4 0.330514149756482
3.7 4.5 0.370735803452921
3.7 4.6 0.412784867680763
3.7 4.7 0.456160148779925
3.7 4.8 0.500310658129864
3.7 4.9 0.544656562971634
3.7 5 0.588611906158223
3.7 5.1 0.63160762041165
3.7 5.2 0.673113345654502
3.7 5.3 0.712656674797863
3.7 5.4 0.749838689586749
3.7 5.5 0.784344976196445
3.7 5.6 0.815951693461706
3.7 5.7 0.844526663845513
3.7 5.8 0.870025828449687
3.7 5.9 0.892485718276245
3.7 6 0.912012819789872
3.7 6.1 0.928770840429588
3.7 6.2 0.942966907878787
3.7 6.3 0.954837675207042
3.7 6.4 0.964636170334521
3.7 6.5 0.972620045627631
3.7 6.6 0.979041676482451
3.7 6.7 0.984140349727598
3.7 6.8 0.988136592950812
3.7 6.9 0.99122853839523
3.7 7 0.993590097873799
3.7 7.1 0.995370650497285
3.7 7.2 0.996695910401113
3.7 7.3 0.997669641114886
3.7 7.4 0.9983759087482
3.7 7.5 0.998881609104689
3.7 7.6 0.999239055968995
3.7 7.7 0.999488472154503
3.7 7.8 0.999660276131701
3.7 7.9 0.999777101638343
3.7 8 0.999855523721954
3.8 2 0.044770884316817
3.8 2.1 0.0449758446832956
3.8 2.2 0.0452770890021996
3.8 2.3 0.0457133392450311
3.8 2.4 0.0463358448731722
3.8 2.5 0.0472111613715365
3.8 2.6 0.0484240616574142
3.8 2.7 0.0500803944284904
3.8 2.8 0.0523096371824445
3.8 2.9 0.0552668291893716
3.8 3 0.0591335204935048
3.8 3.1 0.0641173477528638
3.8 3.2 0.0704498571683035
3.8 3.3 0.078382248117368
3.8 3.4 0.0881788141699876
3.8 3.5 0.100108011450169
3.8 3.6 0.114431281682338
3.8 3.7 0.131389985251889
3.8 3.8 0.151191037785709
3.8 3.9 0.173992066296541
3.8 4 0.199887079343565
3.8 4.1 0.228893752400593
3.8 4.2 0.260943442151477
3.8 4.3 0.295874948062639
3.8 4.4 0.333432834481082
3.8 4.5 0.373270823238482
3.8 4.6 0.414960389967207
3.8 4.7 0.458004282531971
3.8 4.8 0.501854269428088
3.8 4.9 0.545932063527213
3.8 5 0.589652091858769
3.8 5.1 0.632444625478669
3.8 5.2 0.673777761722267
3.8 5.3 0.713176865468768
3.8 5.4 0.750240312064025
3.8 5.5 0.784650704440752
3.8 5.6 0.816181123452374
3.8 5.7 0.844696371811373
3.8 5.8 0.870149547595881
3.8 5.9 0.892574598251442
3.8 6 0.912075735193179
3.8 6.1 0.928814719104224
3.8 6.2 0.942997055581836
3.8 6.3 0.954858079566761
3.8 6.4 0.964649773071688
3.8 6.5 0.972628977311458
3.8 6.6 0.979047452326854
3.8 6.7 0.984144028020019
3.8 6.8 0.98813889970371
3.8 6.9 0.991229962877804
3.8 7 0.993590964024062
3.8 7.1 0.995371169046092
3.8 7.2 0.996696216053606
3.8 7.3 0.997669818489309
3.8 7.4 0.998376010083972
3.8 7.5 0.998881666098581
3.8 7.6 0.999239087524387
3.8 7.7 0.9994884893528
3.8 7.8 0.999660285358512
3.8 7.9 0.999777106510941
3.8 8 0.999855526254756
3.9 2 0.0545182501672143
3.9 2.1 0.0547092388797235
3.9 2.2 0.0549909755096207
3.9 2.3 0.0554004302673159
3.9 2.4 0.0559867270039942
3.9 2.5 0.05681390787437
3.9 2.6 0.0579638552418771
3.9 2.7 0.0595391921362186
3.9 2.8 0.0616659150844443
3.9 2.9 0.0644954483780305
3.9 3 0.0682057561639873
3.9 3.1 0.0730011190230933
3.9 3.2 0.0791101860792762
3.9 3.3 0.0867819619575186
3.9 3.4 0.0962794865644745
3.9 3.5 0.10787111599149
3.9 3.6 0.121819509372967
3.9 3.7 0.138368656267725
3.9 3.8 0.15772952177411
3.9 3.9 0.180065116057647
3.9 4 0.205475982107122
3.9 4.1 0.233987211799531
3.9 4.2 0.265538122001598
3.9 4.3 0.299975634556757
3.9 4.4 0.337052203726395
3.9 4.5 0.376428832853205
3.9 4.6 0.417683343141514
3.9 4.7 0.46032363728474
3.9 4.8 0.503805282250348
3.9 4.9 0.547552363778761
3.9 5 0.590980280992311
3.9 5.1 0.633518984402282
3.9 5.2 0.674635132321135
3.9 5.3 0.713851751031464
3.9 5.4 0.75076421882321
3.9 5.5 0.785051725166061
3.9 5.6 0.816483746035317
3.9 5.7 0.844921482367838
3.9 5.8 0.87031458933262
3.9 5.9 0.89269384405451
3.9 6 0.912160632910086
3.9 6.1 0.928874272773753
3.9 6.2 0.943038212243372
3.9 6.3 0.954886098622871
3.9 6.4 0.964668562524868
3.9 6.5 0.972641387838091
3.9 6.6 0.979055525648391
3.9 6.7 0.984149200192214
3.9 6.8 0.988142162779002
3.9 6.9 0.991231990052291
3.9 7 0.993592204085696
3.9 7.1 0.995371915947397
3.9 7.2 0.996696658980521
3.9 7.3 0.997670077091504
3.9 7.4 0.9983761587279
3.9 7.5 0.998881750211286
3.9 7.6 0.999239134379943
3.9 7.7 0.99948851504683
3.9 7.8 0.999660299228061
3.9 7.9 0.999777113880467
3.9 8 0.999855530109121
4 2 0.0658966320447345
4 2.1 0.0660733661692432
4 2.2 0.0663350730763372
4 2.3 0.066716839743564
4 2.4 0.0672654826748759
4 2.5 0.0680422876765808
4 2.6 0.0691259319136053
4 2.7 0.0706154182078312
4 2.8 0.0726327831819488
4 2.9 0.0753252739352432
4 3 0.0788666317308551
4 3.1 0.0834570866570171
4 3.2 0.089321665905466
4 3.3 0.0967064605646106
4 3.4 0.105872588925814
4 3.5 0.117087740413577
4 3.6 0.130615378758396
4 3.7 0.146701913584784
4 3.8 0.165562396215745
4 3.9 0.187365531998248
4 4 0.212218998079777
4 4.1 0.240156182741684
4 4.2 0.271125495040449
4 4.3 0.30498331526959
4 4.4 0.341491463433807
4 4.5 0.380319764421611
4 4.6 0.421053908850118
4 4.7 0.463208383536878
4 4.8 0.506243818956883
4 4.9 0.549587718932602
4 5 0.592657242508887
4 5.1 0.634882532369288
4 5.2 0.675729047264148
4 5.3 0.714717460409207
4 5.4 0.751439917871025
4 5.5 0.78557178249396
4 5.6 0.816878381671071
4 5.7 0.845216688078567
4 5.8 0.87053224904604
4 5.9 0.892852006164438
4 6 0.91227388560794
4 6.1 0.928954177219923
4 6.2 0.943093755046751
4 6.3 0.954924133372724
4 6.4 0.96469421880527
4 6.5 0.97265843430357
4 6.6 0.979066680714558
4 6.7 0.984156389366461
4 6.8 0.988146725552139
4 6.9 0.991234841711248
4 7 0.993593959027394
4 7.1 0.995372979363739
4 7.2 0.996697293434415
4 7.3 0.997670449770396
4 7.4 0.998376374249411
4 7.5 0.998881872913321
4 7.6 0.999239203150647
4 7.7 0.999488552989851
4 7.8 0.999660319835506
4 7.9 0.999777124897587
4 8 0.999855535906775
4.1 2 0.0790560572467155
4.1 2.1 0.0792184174591989
4.1 2.2 0.0794597981042544
4.1 2.3 0.0798132874771501
4.1 2.4 0.0803232299611752
4.1 2.5 0.0810479284606117
4.1 2.6 0.0820625541735635
4.1 2.7 0.0834621037098013
4.1 2.8 0.0853641747105341
4.1 2.9 0.087911262316606
4.1 3 0.0912722191570502
4.1 3.1 0.0956424820065359
4.1 3.2 0.101242660692864
4.1 3.3 0.108315120177917
4.1 3.4 0.117118273087153
4.1 3.5 0.127918440478517
4.1 3.6 0.14097932971834
4.1 3.7 0.15654940848458
4.1 3.8 0.174847703716685
4.1 3.9 0.196048797648329
4.1 4 0.220267999667436
4.1 4.1 0.247547812066585
4.1 4.2 0.277846853265129
4.1 4.3 0.311032335797265
4.1 4.4 0.346877012451805
4.1 4.5 0.385061211001818
4.1 4.6 0.425180199160369
4.1 4.7 0.466756692512336
4.1 4.8 0.509257883483885
4.1 4.9 0.552115976126113
4.1 5 0.59475090346967
4.1 5.1 0.636593716008998
4.1 5.2 0.677109082048152
4.1 5.3 0.715815437035872
4.1 5.4 0.752301546513142
4.1 5.5 0.786238577932204
4.1 5.6 0.817387171731729
4.1 5.7 0.84559941776638
4.1 5.8 0.870816036177691
4.1 5.9 0.893059394681984
4.1 6 0.912423239705819
4.1 6.1 0.929060161897409
4.1 6.2 0.943167855240306
4.1 6.3 0.954975172840966
4.1 6.4 0.964728849945667
4.1 6.5 0.972681579849648
4.1 6.6 0.979081916917809
4.1 6.7 0.984166267293444
4.1 6.8 0.988153032333413
4.1 6.9 0.991238807026823
4.1 7 0.993596414034063
4.1 7.1 0.995374475982086
4.1 7.2 0.9966981917583
4.1 7.3 0.997670980654492
4.1 7.4 0.998376683132415
4.1 7.5 0.998882049842572
4.1 7.6 0.999239302920987
4.1 7.7 0.999488608373973
4.1 7.8 0.999660350100308
4.1 7.9 0.999777141177297
4.1 8 0.999855544526633
4.2 2 0.0941345997040707
4.2 2.1 0.094282634450501
4.2 2.2 0.0945036280841328
4.2 2.3 0.0948285746839176
4.2 2.4 0.0952992041339225
4.2 2.5 0.0959706336066137
4.2 2.6 0.0969142507490924
4.2 2.7 0.0982206799375165
4.2 2.8 0.100002614092334
4.2 2.9 0.10239722422655
4.2 3 0.105567795963859
4.2 3.1 0.109704197668
4.2 3.2 0.11502177059258
4.2 3.3 0.121758259082699
4.2 3.4 0.130168477280596
4.2 3.5 0.140516542238642
4.2 3.6 0.153065689393032
4.2 3.7 0.16806591459668
4.2 3.8 0.185739938706811
4.2 3.9 0.206268240250485
4.2 4 0.229774118427717
4.2 4.1 0.256309901149647
4.2 4.2 0.285845472964568
4.2 4.3 0.318260245766928
4.2 4.4 0.353339523393297
4.2 4.5 0.390775926490892
4.2 4.6 0.430176168417193
4.2 4.7 0.47107304170841
4.2 4.8 0.512942032457084
4.2 4.9 0.555221575037307
4.2 5 0.59733563748625
4.2 5.1 0.638717124938318
4.2 5.2 0.678830527220359
4.2 5.3 0.717192322446439
4.2 5.4 0.753387869095387
4.2 5.5 0.787083847047657
4.2 5.6 0.818035704529765
4.2 5.7 0.846089988238848
4.2 5.8 0.87118183373516
4.2 5.9 0.893328233950839
4.2 6 0.912617956932819
4.2 6.1 0.929199133906647
4.2 6.2 0.943265582785709
4.2 6.3 0.955042879638482
4.2 6.4 0.964775059877339
4.2 6.5 0.972712646270459
4.2 6.6 0.979102488499557
4.2 6.7 0.98417968365885
4.2 6.8 0.988161649513438
4.2 6.9 0.991244257484068
4.2 7 0.99359980883586
4.2 7.1 0.995376558014768
4.2 7.2 0.996699449037571
4.2 7.3 0.997671728183304
4.2 7.4 0.998377120713214
4.2 7.5 0.998882302019922
4.2 7.6 0.999239445993382
4.2 7.7 0.999488688282483
4.2 7.8 0.999660394034639
4.2 7.9 0.999777164955337
4.2 8 0.999855557194315
4.3 2 0.111252496700164
4.3 2.1 0.111386420504772
4.3 2.2 0.111587204288997
4.3 2.3 0.111883675612669
4.3 2.4 0.112314834746402
4.3 2.5 0.112932440826366
4.3 2.6 0.113803852625221
4.3 2.7 0.115014987843925
4.3 2.8 0.116673196471334
4.3 2.9 0.118909772425473
4.3 3 0.121881761850094
4.3 3.1 0.125772676877187
4.3 3.2 0.13079170252087
4.3 3.3 0.137171003598462
4.3 3.4 0.145160807954008
4.3 3.5 0.155022067154188
4.3 3.6 0.167016675115475
4.3 3.7 0.181395449695243
4.3 3.8 0.198384334544727
4.3 3.9 0.218169533238948
4.3 4 0.240882514287056
4.3 4.1 0.266585991801484
4.3 4.2 0.295262062931995
4.3 4.3 0.326803647871173
4.3 4.4 0.361010221423482
4.3 4.5 0.397588551662778
4.3 4.6 0.436158791519804
4.3 4.7 0.476265837707095
4.3 4.8 0.517395422851701
4.3 4.9 0.558993990243772
4.3 5 0.600491063320706
4.3 5.1 0.641322602401155
4.3 5.2 0.68095376383074
4.3 5.3 0.718899548918627
4.3 5.4 0.75474204113651
4.3 5.5 0.788143253181408
4.3 5.6 0.818853001812528
4.3 5.7 0.846711652614616
4.3 5.8 0.87164798358056
4.3 5.9 0.893672765796195
4.3 6 0.912868921810146
4.3 6.1 0.929379280554149
4.3 6.2 0.943392998508985
4.3 6.3 0.955131669026896
4.3 6.4 0.964836013740855
4.3 6.5 0.972753866225022
4.3 6.6 0.979129945089662
4.3 6.7 0.984197696729495
4.3 6.8 0.988173288160456
4.3 6.9 0.991251663155815
4.3 7 0.993604449169106
4.3 7.1 0.995379421097605
4.3 7.2 0.996701188429955
4.3 7.3 0.997672768631501
4.3 7.4 0.998377733464578
4.3 7.5 0.998882657300893
4.3 7.6 0.999239648793164
4.3 7.7 0.999488802243411
4.3 7.8 0.999660457075692
4.3 7.9 0.999777199283996
4.3 8 0.999855575595418
4.4 2 0.130506115593257
4.4 2.1 0.130626301613147
4.4 2.2 0.130807284446189
4.4 2.3 0.131075678609141
4.4 2.4 0.131467670940496
4.4 2.5 0.132031526726414
4.4 2.6 0.132830371156499
4.4 2.7 0.1339451235357
4.4 2.8 0.135477394430332
4.4 2.9 0.137552084179652
4.4 3 0.140319352962436
4.4 3.1 0.143955578365527
4.4 3.2 0.14866288829348
4.4 3.3 0.15466686741019
4.4 3.4 0.162212094664999
4.4 3.5 0.171555284348286
4.4 3.6 0.182955973843146
4.4 3.7 0.196664920172674
4.4 3.8 0.212910618311794
4.4 3.9 0.231884612685439
4.4 4 0.253726508961425
4.4 4.1 0.278509773324379
4.4 4.2 0.306229500100853
4.4 4.3 0.336793312109826
4.4 4.4 0.370016419164503
4.4 4.5 0.405621601213101
4.4 4.6 0.443244522091916
4.4 4.7 0.482444350934967
4.4 4.8 0.522719215228872
4.4 4.9 0.563525582144816
4.4 5 0.604300311762513
4.4 5.1 0.644483887803929
4.4 5.2 0.68354323552312
4.4 5.3 0.720992592079165
4.4 5.4 0.756411093196105
4.4 5.5 0.789456055479018
4.4 5.6 0.819871327872452
4.4 5.7 0.847490512731257
4.4 5.8 0.872235270351907
4.4 5.9 0.89410927934053
4.4 6 0.913188697637827
4.4 6.1 0.929610137094851
4.4 6.2 0.943557223708193
4.4 6.3 0.955246774159597
4.4 6.4 0.964915495328664
4.4 6.5 0.972807931466783
4.4 6.6 0.979166170658668
4.4 6.7 0.984221603781298
4.4 6.8 0.988188827094929
4.4 6.9 0.991261609733682
4.4 7 0.993610719034094
4.4 7.1 0.995383312905201
4.4 7.2 0.996703567085063
4.4 7.3 0.997674200088544
4.4 7.4 0.998378581615353
4.4 7.5 0.998883152064961
4.4 7.6 0.999239932936317
4.4 7.7 0.999488962891247
4.4 7.8 0.999660546487911
4.4 7.9 0.999777248272003
4.4 8 0.999855602015914
4.5 2 0.151962044695736
4.5 2.1 0.152069011950848
4.5 2.2 0.152230820352553
4.5 2.3 0.152471852259807
4.5 2.4 0.152825431514511
4.5 2.5 0.153336235016442
4.5 2.6 0.154062997437812
4.5 2.7 0.155081400756882
4.5 2.8 0.156486974778588
4.5 2.9 0.158397763330934
4.5 3 0.160956440821552
4.5 3.1 0.164331505390304
4.5 3.2 0.168717139993855
4.5 3.3 0.174331333970444
4.5 3.4 0.181411906195396
4.5 3.5 0.190210174504217
4.5 3.6 0.200982176416042
4.5 3.7 0.213977557378528
4.5 3.8 0.229426490079997
4.5 3.9 0.247525248690665
4.5 4 0.268421305417977
4.5 4.1 0.292199010379156
4.5 4.2 0.318867027549552
4.5 4.3 0.348348703672973
4.5 4.4 0.380476428710128
4.5 4.5 0.414990805396929
4.5 4.6 0.451545097732286
4.5 4.7 0.489715005073707
4.5 4.8 0.529013353447891
4.5 4.9 0.568908858797159
4.5 5 0.608847748179388
4.5 5.1 0.648276767288885
4.5 5.2 0.686665985725462
4.5 5.3 0.723529847513293
4.5 5.4 0.75844509689623
4.5 5.5 0.791064514291995
4.5 5.6 0.821125786649002
4.5 5.7 0.84845526445617
4.5 5.8 0.872966776910505
4.5 5.9 0.894656044571107
4.5 6 0.913591512331482
4.5 6.1 0.929902604838997
4.5 6.2 0.943766475768786
4.5 6.3 0.95539428889011
4.5 6.4 0.965017950358374
4.5 6.5 0.972878032602427
4.5 6.6 0.979213417774213
4.5 6.7 0.984252969217057
4.5 6.8 0.988209335075531
4.5 6.9 0.991274815452038
4.5 7 0.993619093223644
4.5 7.1 0.99538854217564
4.5 7.2 0.996706782482228
4.5 7.3 0.997676146804397
4.5 7.4 0.998379742063056
4.5 7.5 0.99888383312533
4.5 7.6 0.999240326455442
4.5 7.7 0.999489186737873
4.5 7.8 0.999660671838112
4.5 7.9 0.999777317371602
4.5 8 0.999855639512276
4.6 2 0.175651611906142
4.6 2.1 0.175746007910035
4.6 2.2 0.17588946477675
4.6 2.3 0.176104141620284
4.6 2.4 0.176420485688398
4.6 2.5 0.176879535563114
4.6 2.6 0.177535531788293
4.6 2.7 0.178458741295854
4.6 2.8 0.179738338860607
4.6 2.9 0.181485118338528
4.6 3 0.18383373543115
4.6 3.1 0.186944121714514
4.6 3.2 0.191001668377753
4.6 3.3 0.196215770185391
4.6 3.4 0.202816357408321
4.6 3.5 0.211048134580906
4.6 3.6 0.221162393229673
4.6 3.7 0.233406467013756
4.6 3.8 0.248011139137687
4.6 3.9 0.265176571828905
4.6 4 0.285057577263134
4.6 4.1 0.30774925553633
4.6 4.2 0.333274155256227
4.6 4.3 0.361572138431758
4.6 4.4 0.392494036160836
4.6 4.5 0.425799961920647
4.6 4.6 0.461162818107111
4.6 4.7 0.498177117886034
4.6 4.8 0.536372790503636
4.6 4.9 0.575233193907331
4.6 5 0.614216174907175
4.6 5.1 0.652776739136166
4.6 5.2 0.690389753184341
4.6 5.3 0.726571114794238
4.6 5.4 0.760895990094914
4.6 5.5 0.793013007485819
4.6 5.6 0.822653679307981
4.6 5.7 0.849636749175439
4.6 5.8 0.873867586661333
4.6 5.9 0.895333127861388
4.6 6 0.914093155531469
4.6 6.1 0.930268904306513
4.6 6.2 0.944030057540498
4.6 6.3 0.955581178638449
4.6 6.4 0.965148508397804
4.6 6.5 0.972967885108
4.6 6.6 0.979274333394931
4.6 6.7 0.984293647756097
4.6 6.8 0.988236090327606
4.6 6.9 0.991292146744004
4.6 7 0.99363014938351
4.6 7.1 0.995395487689592
4.6 7.2 0.996711078916509
4.6 7.3 0.997678763747528
4.6 7.4 0.998381311496229
4.6 7.5 0.998884759817016
4.6 7.6 0.999240865164542
4.6 7.7 0.999489495045183
4.6 7.8 0.999660845541668
4.6 7.9 0.999777413713423
4.6 8 0.999855692112674
4.7 2 0.201566147312822
4.7 2.1 0.2016487270687
4.7 2.2 0.201774824493367
4.7 2.3 0.20196441196968
4.7 2.4 0.202245082889355
4.7 2.5 0.20265423386468
4.7 2.6 0.203241564636744
4.7 2.7 0.204071816862251
4.7 2.8 0.205227612800132
4.7 2.9 0.206812186209239
4.7 3 0.208951726589236
4.7 3.1 0.211796993143264
4.7 3.2 0.215523807776136
4.7 3.3 0.220332019637279
4.7 3.4 0.226442559377022
4.7 3.5 0.234092279081276
4.7 3.6 0.243526408553374
4.7 3.7 0.254988647919111
4.7 3.8 0.268709149572611
4.7 3.9 0.28489089947963
4.7 4 0.303695261271111
4.7 4.1 0.32522766383353
4.7 4.2 0.349524560800206
4.7 4.3 0.376542839193311
4.7 4.4 0.406152784473377
4.7 4.5 0.438135514031267
4.7 4.6 0.472185480502555
4.7 4.7 0.507918246389855
4.7 4.8 0.544883282499134
4.7 4.9 0.58258109387211
4.7 5 0.620483579936487
4.7 5.1 0.658056237364217
4.7 5.2 0.694780649876795
4.7 5.3 0.730175697526886
4.7 5.4 0.763816058168716
4.7 5.5 0.795346846479395
4.7 5.6 0.824493606050409
4.7 5.7 0.851067292665526
4.7 5.8 0.874964313362887
4.7 5.9 0.896162070884101
4.7 6 0.914710770158978
4.7 6.1 0.930722448840703
4.7 6.2 0.944358288300695
4.7 6.3 0.955815249495315
4.7 6.4 0.965312975766677
4.7 6.5 0.97308173577965
4.7 6.6 0.979351971909225
4.7 6.7 0.984345799618707
4.7 6.8 0.988270595268773
4.7 6.9 0.991314631175036
4.7 7 0.993644578646269
4.7 7.1 0.995404606590676
4.7 7.2 0.996716753752566
4.7 7.3 0.997682241147075
4.7 7.4 0.998383409594706
4.7 7.5 0.998886006190193
4.7 7.6 0.999241594124227
4.7 7.7 0.999489914780526
4.7 7.8 0.999661083471389
4.7 7.9 0.999777546486031
4.7 8 0.999855765048575
4.8 2 0.229653298740076
4.8 2.1 0.229724901230874
4.8 2.2 0.229834768877109
4.8 2.3 0.230000750005212
4.8 2.4 0.230247642234184
4.8 2.5 0.230609242762362
4.8 2.6 0.231130722258447
4.8 2.7 0.231871258136332
4.8 2.8 0.232906806373319
4.8 2.9 0.234332824838373
4.8 3 0.236266690642208
4.8 3.1 0.238849487449277
4.8 3.2 0.242246786681459
4.8 3.3 0.246648021409097
4.8 3.4 0.252264065892281
4.8 3.5 0.259322697675496
4.8 3.6 0.2680617390128
4.8 3.7 0.278719849786821
4.8 3.8 0.291525166270074
4.8 3.9 0.306682231393772
4.8 4 0.324357916785107
4.8 4.1 0.344667263050838
4.8 4.2 0.36766032902926
4.8 4.3 0.393311212389598
4.8 4.4 0.421510360608994
4.8 4.5 0.452061123383914
4.8 4.6 0.484681211173716
4.8 4.7 0.519009342700484
4.8 4.8 0.554616924458162
4.8 4.9 0.59102415553971
4.8 5 0.627719543213379
4.8 5.1 0.664181497091782
4.8 5.2 0.699900480405441
4.8 5.3 0.734400157783771
4.8 5.4 0.767256092950468
4.8 5.5 0.798110800547153
4.8 5.6 0.826684311202393
4.8 5.7 0.852779824024147
4.8 5.8 0.876284447313247
4.8 5.9 0.897165420047202
4.8 6 0.915462525293556
4.8 6.1 0.931277626315315
4.8 6.2 0.944762365307409
4.8 6.3 0.956105066225876
4.8 6.4 0.965517791790444
4.8 6.5 0.973224343607438
4.8 6.6 0.979449790828944
4.8 6.7 0.984411894305171
4.8 6.8 0.988314583985022
4.8 6.9 0.991343465942774
4.8 7 0.993663193674915
4.8 7.1 0.995416441277674
4.8 7.2 0.996724162952167
4.8 7.3 0.997686808711021
4.8 7.4 0.998386182121565
4.8 7.5 0.99888766320004
4.8 7.6 0.99924256914612
4.8 7.7 0.999490479621993
4.8 7.8 0.999661405612241
4.8 7.9 0.999777727352139
4.8 8 0.999855865013312
4.9 2 0.25981468039763
4.9 2.1 0.259876203778871
4.9 2.2 0.259971074477263
4.9 2.3 0.260115103237462
4.9 2.4 0.260330383053485
4.9 2.5 0.260647198671374
4.9 2.6 0.261106261070655
4.9 2.7 0.261761216763823
4.9 2.8 0.262681329157866
4.9 2.9 0.263954166253906
4.9 3 0.265688060132454
4.9 3.1 0.268014036297772
4.9 3.2 0.271086854996418
4.9 3.3 0.275084773963661
4.9 3.4 0.280207645133515
4.9 3.5 0.286673007754466
4.9 3.6 0.294709944495465
4.9 3.7 0.3045506269205
4.9 3.8 0.316419685678024
4.9 3.9 0.330521783556882
4.9 4 0.347028022387721
4.9 4.1 0.366062047298886
4.9 4.2 0.387686890772209
4.9 4.3 0.411893692728429
4.9 4.4 0.438593416905489
4.9 4.5 0.467612545271774
4.9 4.6 0.498693473629124
4.9 4.7 0.531499972039019
4.9 4.8 0.565627647749904
4.9 4.9 0.600618901872093
4.9 5 0.635981455503272
4.9 5.1 0.671209185874111
4.9 5.2 0.705803798805827
4.9 5.3 0.73929579575435
4.9 5.4 0.771263278666353
4.9 5.5 0.801347361068151
4.9 5.6 0.829263289367769
4.9 5.7 0.854806782034472
4.9 5.8 0.87785551796443
4.9 5.9 0.898366101771172
4.9 6 0.916367163016218
4.9 6.1 0.931949480449871
4.9 6.2 0.945254147408511
4.9 6.3 0.956459811279328
4.9 6.4 0.965769941529257
4.9 6.5 0.973400929358909
4.9 6.6 0.979571624578227
4.9 6.7 0.984494699457565
4.9 6.8 0.988370019839283
4.9 6.9 0.991380020050406
4.9 7 0.993686932787343
4.9 7.1 0.995431623962081
4.9 7.2 0.996733725274184
4.9 7.3 0.99769273913294
4.9 7.4 0.99838980366424
4.9 7.5 0.998889840745723
4.9 7.6 0.99924385824978
4.9 7.7 0.999491230964254
4.9 7.8 0.999661836734927
4.9 7.9 0.999777970887349
4.9 8 0.999856000440603
5 2 0.291905084405618
5 2.1 0.291957461103611
5 2.2 0.292038635395667
5 2.3 0.292162487583102
5 2.4 0.292348526821735
5 2.5 0.292623653362999
5 2.6 0.2930242426245
5 2.7 0.293598514150595
5 2.8 0.294409100338976
5 2.9 0.295535670698321
5 3 0.297077401071112
5 3.1 0.299155010134209
5 3.2 0.301912026708306
5 3.3 0.305514912246757
5 3.4 0.310151655595187
5 3.5 0.316028493189166
5 3.6 0.323364495765288
5 3.7 0.33238390554381
5 3.8 0.343306301467506
5 3.9 0.35633490160033
5 4 0.371643559726197
5 4.1 0.389363248985374
5 4.2 0.409569016529957
5 4.3 0.432268507634268
5 4.4 0.457393169038101
5 4.5 0.484793133709426
5 4.6 0.514236561354364
5 4.7 0.545413875947075
5 4.8 0.57794693415333
5 4.9 0.611402720112414
5 5 0.645310742837711
5 5.1 0.679182962544046
5 5.2 0.712534834064379
5 5.3 0.744905957911686
5 5.4 0.77587888316285
5 5.5 0.80509480245387
5 5.6 0.832265191475958
5 5.7 0.857178833516775
5 5.8 0.87970408662379
5 5.9 0.899786649371853
5 6 0.917443419620657
5 6.1 0.932753288807479
5 6.2 0.945845855999908
5 6.3 0.956889079423004
5 6.4 0.96607681966095
5 6.5 0.973617089048479
5 6.6 0.979721632265821
5 6.7 0.984597251465585
5 6.8 0.988439080609924
5 6.9 0.991425828196693
5 7 0.993716858738128
5 7.1 0.995450877886899
5 7.2 0.996745924459595
5 7.3 0.997700350430011
5 7.4 0.998394479729155
5 7.5 0.998892669372862
5 7.6 0.999245542958845
5 7.7 0.999492218857895
5 7.8 0.999662407049893
5 7.9 0.999778295020152
5 8 0.999856181791701
5.1 2 0.325733414833262
5.1 2.1 0.325777587664994
5.1 2.2 0.325846398957809
5.1 2.3 0.325951922646906
5.1 2.4 0.326111230116275
5.1 2.5 0.326348001276043
5.1 2.6 0.326694449983112
5.1 2.7 0.327193538987936
5.1 2.8 0.327901416088353
5.1 2.9 0.328889948445634
5.1 3 0.330249168985943
5.1 3.1 0.332089382986304
5.1 3.2 0.334542622540898
5.1 3.3 0.337763092150787
5.1 3.4 0.341926232050574
5.1 3.5 0.347226048712009
5.1 3.6 0.353870433566136
5.1 3.7 0.362074316064117
5.1 3.8 0.3720506737035
5.1 3.9 0.383999639295015
5.1 4 0.398096185640194
5.1 4.1 0.414477103523584
5.1 4.2 0.433228189252042
5.1 4.3 0.454372690897548
5.1 4.4 0.477862100120981
5.1 4.5 0.503570300424438
5.1 4.6 0.531291887803018
5.1 4.7 0.560745176852659
5.1 4.8 0.591580021195176
5.1 4.9 0.623390151684676
5.1 5 0.655729317618485
5.1 5.1 0.688130154999733
5.1 5.2 0.720124445947107
5.1 5.3 0.751263306421103
5.1 5.4 0.781135860232483
5.1 5.5 0.809385121363047
5.1 5.6 0.83572009133651
5.1 5.7 0.85992344670928
5.1 5.8 0.881854598126389
5.1 5.9 0.9014482994776
5.1 6 0.918709331019948
5.1 6.1 0.933704041622618
5.1 6.2 0.946549693758589
5.1 6.3 0.957402606211406
5.1 6.4 0.966446042609682
5.1 6.5 0.973878668014075
5.1 6.6 0.979904216261848
5.1 6.7 0.984722804996723
5.1 6.8 0.988524128810457
5.1 6.9 0.991482574520245
5.1 7 0.993754150740616
5.1 7.1 0.99547501416715
5.1 7.2 0.996761308663815
5.1 7.3 0.997710006604919
5.1 7.4 0.998400447851194
5.1 7.5 0.998896301419835
5.1 7.6 0.999247719298074
5.1 7.7 0.999493502797611
5.1 7.8 0.999663152791479
5.1 7.9 0.999778721444207
5.1 8 0.999856421835009
5.2 2 0.361065417690241
5.2 2.1 0.361102317967854
5.2 2.2 0.361160099794012
5.2 2.3 0.361249167651632
5.2 2.4 0.361384321462315
5.2 2.5 0.361586215246353
5.2 2.6 0.361883118653487
5.2 2.7 0.362312967362234
5.2 2.8 0.362925649675176
5.2 2.9 0.363785426700186
5.2 3 0.364973324470682
5.2 3.1 0.366589272819281
5.2 3.2 0.368753705014973
5.2 3.3 0.371608283758799
5.2 3.4 0.375315394402
5.2 3.5 0.380056056760265
5.2 3.6 0.386025962558091
5.2 3.7 0.393429452390776
5.2 3.8 0.402471404137061
5.2 3.9 0.413347206268647
5.2 4 0.42623121832978
5.2 4.1 0.441264353068662
5.2 4.2 0.458541620784947
5.2 4.3 0.478100624987527
5.2 4.4 0.499912060779923
5.2 4.5 0.523873222635407
5.2 4.6 0.549805367730695
5.2 4.7 0.577455511259287
5.2 4.8 0.606502873468181
5.2 4.9 0.636569790815083
5.2 5 0.667236491422355
5.2 5.1 0.698058766954146
5.2 5.2 0.728587294309525
5.2 5.3 0.758387205571691
5.2 5.4 0.787056492060307
5.2 5.5 0.81424195809336
5.2 5.6 0.839651693845533
5.2 5.7 0.863063380965817
5.2 5.8 0.88432813603686
5.2 5.9 0.903369988949064
5.2 6 0.920181442689104
5.2 6.1 0.934815833823016
5.2 6.2 0.947377387799382
5.2 6.3 0.958009933063312
5.2 6.4 0.966885209244952
5.2 6.5 0.974191594530242
5.2 6.6 0.980123909846645
5.2 6.7 0.984874759534241
5.2 6.8 0.988627665372601
5.2 6.9 0.991552064622834
5.2 7 0.993800088448356
5.2 7.1 0.995504923260935
5.2 7.2 0.996780486400728
5.2 7.3 0.997722116105334
5.2 7.4 0.99840797735384
5.2 7.5 0.998900911363768
5.2 7.6 0.999250498332392
5.2 7.7 0.999495152258844
5.2 7.8 0.999664116670571
5.2 7.9 0.999779275966152
5.2 8 0.999856735896881
5.3 2 0.397628183378957
5.3 2.1 0.397658711758674
5.3 2.2 0.397706768382633
5.3 2.3 0.397781233773137
5.3 2.4 0.39789481751123
5.3 2.5 0.398065365827526
5.3 2.6 0.398317457094301
5.3 2.7 0.398684280577202
5.3 2.8 0.399209759989872
5.3 2.9 0.399950838509906
5.3 3 0.400979787436115
5.3 3.1 0.402386340300944
5.3 3.2 0.404279394231564
5.3 3.3 0.406787969363865
5.3 3.4 0.410061085707488
5.3 3.5 0.414266216289531
5.3 3.6 0.419586015906345
5.3 3.7 0.426213113512548
5.3 3.8 0.434342895021727
5.3 3.9 0.444164386838192
5.3 4 0.455849565443197
5.3 4.1 0.469541643618004
5.3 4.2 0.485343092043357
5.3 4.3 0.503304315748645
5.3 4.4 0.52341398924868
5.3 4.5 0.545592039503617
5.3 4.6 0.569686140174248
5.3 4.7 0.595472346262036
5.3 4.8 0.622660172814869
5.3 4.9 0.650902036920811
5.3 5 0.679806581272292
5.3 5.1 0.708955027593338
5.3 5.2 0.737919414606651
5.3 5.3 0.766281394562468
5.3 5.4 0.79365021683498
5.3 5.5 0.81967862116902
5.3 5.6 0.844075583090129
5.3 5.7 0.866615170255045
5.3 5.8 0.887141140622684
5.3 5.9 0.905567296077795
5.3 6 0.921873955268639
5.3 6.1 0.93610119139363
5.3 6.2 0.948339670831876
5.3 6.3 0.958720017012648
5.3 6.4 0.967401614391529
5.3 6.5 0.974561674690211
5.3 6.6 0.980385234137714
5.3 6.7 0.985056562297486
5.3 6.8 0.988752265699471
5.3 6.9 0.991636184798034
5.3 7 0.993856026901794
5.3 7.1 0.995541560230597
5.3 7.2 0.996804118331809
5.3 7.3 0.997737127577968
5.3 7.4 0.998417367396006
5.3 7.5 0.998906695112351
5.3 7.6 0.999254006076752
5.3 7.7 0.999497246871014
5.3 7.8 0.999665348124845
5.3 7.9 0.999779988745286
5.3 8 0.999857142057529
5.4 2 0.435116297059046
5.4 2.1 0.435141307662207
5.4 2.2 0.435180888963843
5.4 2.3 0.435242547392938
5.4 2.4 0.435337092586348
5.4 2.5 0.435479797701144
5.4 2.6 0.4356918297584
5.4 2.7 0.436001953200955
5.4 2.8 0.436448480792117
5.4 2.9 0.437081406270184
5.4 3 0.437964603664513
5.4 3.1 0.439177921736683
5.4 3.2 0.440818943870189
5.4 3.3 0.443004131550624
5.4 3.4 0.445869033030559
5.4 3.5 0.449567228598811
5.4 3.6 0.454267710372875
5.4 3.7 0.460150465631479
5.4 3.8 0.467400151847696
5.4 3.9 0.476197915842373
5.4 4 0.486711608308743
5.4 4.1 0.499084860046166
5.4 4.2 0.513425692723423
5.4 4.3 0.529795506149631
5.4 4.4 0.548199387206637
5.4 4.5 0.568578698832594
5.4 4.6 0.590806816059917
5.4 4.7 0.614688678331106
5.4 4.8 0.639964536158224
5.4 4.9 0.66631791300883
5.4 5 0.693387418852808
5.4 5.1 0.720781685173108
5.4 5.2 0.7480963873705
5.4 5.3 0.774932117433933
5.4 5.4 0.800911792845649
5.4 5.5 0.825696345714588
5.4 5.6 0.848997620090155
5.4 5.7 0.870587690201801
5.4 5.8 0.890304160945341
5.4 5.9 0.908051381131644
5.4 6 0.923797847008822
5.4 6.1 0.937570361829505
5.4 6.2 0.949445720983662
5.4 6.3 0.959540798847478
5.4 6.4 0.968001923745473
5.4 6.5 0.974994353539307
5.4 6.6 0.980692526848471
5.4 6.7 0.985271588559183
5.4 6.8 0.988900498201889
5.4 6.9 0.991736848109766
5.4 7 0.993923361893094
5.4 7.1 0.99558592321819
5.4 7.2 0.996832904380899
5.4 7.3 0.997755522489241
5.4 7.4 0.998428942974727
5.4 7.5 0.998913867998173
5.4 7.6 0.999258382605233
5.4 7.7 0.999499876110719
5.4 7.8 0.999666903289958
5.4 7.9 0.99978089437634
5.4 8 0.999857661261876
5.5 2 0.473199414532497
5.5 2.1 0.473219702625885
5.5 2.2 0.473251983853507
5.5 2.3 0.4733025408399
5.5 2.4 0.473380477573995
5.5 2.5 0.473498738420286
5.5 2.6 0.473675377058034
5.5 2.7 0.473935084802244
5.5 2.8 0.474310963259505
5.5 2.9 0.474846491712117
5.5 3 0.475597595332952
5.5 3.1 0.476634668404494
5.5 3.2 0.47804435141874
5.5 3.3 0.479930808875029
5.5 3.4 0.482416214469589
5.5 3.5 0.485640132232094
5.5 3.6 0.489757496124309
5.5 3.7 0.494934945107389
5.5 3.8 0.501345370462837
5.5 3.9 0.509160676377655
5.5 4 0.518542935622912
5.5 4.1 0.52963432420337
5.5 4.2 0.542546420025856
5.5 4.3 0.557349624243172
5.5 4.4 0.574063582174295
5.5 4.5 0.592649518966814
5.5 4.6 0.613005346522316
5.5 4.7 0.634964237231626
5.5 4.8 0.658297105209977
5.5 4.9 0.682719109523989
5.5 5 0.707899930844711
5.5 5.1 0.73347721509795
5.5 5.2 0.759072268699583
5.5 5.3 0.784306868648974
5.5 5.4 0.80881994504542
5.5 5.5 0.832282916270986
5.5 5.6 0.85441260390014
5.5 5.7 0.874980904960201
5.5 5.8 0.893820720373419
5.5 5.9 0.910827989752304
5.5 6 0.925960022458962
5.5 6.1 0.939230605967346
5.5 6.2 0.950702587544029
5.5 6.3 0.960478748869163
5.5 6.4 0.968691823241954
5.5 6.5 0.975494450908154
5.5 6.6 0.981049748042602
5.5 6.7 0.985523002276128
5.5 6.8 0.989074826771392
5.5 6.9 0.991855927878836
5.5 7 0.994003485802663
5.5 7.1 0.995639024939505
5.5 7.2 0.996867565885515
5.5 7.3 0.997777804317245
5.5 7.4 0.998443048624544
5.5 7.5 0.998922661267696
5.5 7.6 0.999263780202857
5.5 7.7 0.999503138402777
5.5 7.8 0.999668844614667
5.5 7.9 0.999782031764328
5.5 8 0.999858317312722
5.6 2 0.511530954057777
5.6 2.1 0.511547247350866
5.6 2.2 0.511573313998855
5.6 2.3 0.511614359984883
5.6 2.4 0.511677976871131
5.6 2.5 0.511775027340843
5.6 2.6 0.511920759029842
5.6 2.7 0.512136160863357
5.6 2.8 0.512449555871848
5.6 2.9 0.512898394901652
5.6 3 0.513531176651076
5.6 3.1 0.514409372458282
5.6 3.2 0.515609182610081
5.6 3.3 0.517222900194303
5.6 3.4 0.519359616347168
5.6 3.5 0.522144976365843
5.6 3.6 0.525719699267802
5.6 3.7 0.530236612636706
5.6 3.8 0.535856035753106
5.6 3.9 0.542739468037428
5.6 4 0.551041701382929
5.6 4.1 0.560901661582962
5.6 4.2 0.572432476560743
5.6 4.3 0.585711443200386
5.6 4.4 0.600770693821882
5.6 4.5 0.617589423082487
5.6 4.6 0.636088507743021
5.6 4.7 0.656128226726422
5.6 4.8 0.677509571352004
5.6 4.9 0.699979343256051
5.6 5 0.723238900182558
5.6 5.1 0.746956065988133
5.6 5.2 0.770779412534131
5.6 5.3 0.794353886381604
5.6 5.4 0.817336622219073
5.6 5.5 0.839411774072732
5.6 5.6 0.86030330490387
5.6 5.7 0.879784889641416
5.6 5.8 0.897686377273978
5.6 5.9 0.913896587052987
5.6 6 0.928362542119837
5.6 6.1 0.941085534069147
5.6 6.2 0.952114635241683
5.6 6.3 0.961538414328045
5.6 6.4 0.969475660048001
5.6 6.5 0.976065883776154
5.6 6.6 0.981460270714297
5.6 6.7 0.985813601978171
5.6 6.8 0.9892775001348
5.6 6.9 0.99199518019584
5.6 7 0.99409773469
5.6 7.1 0.995701857485274
5.6 7.2 0.996908822805986
5.6 7.3 0.99780448421101
5.6 7.4 0.998460039667276
5.6 7.5 0.998933316920177
5.6 7.6 0.999270360436738
5.6 7.7 0.99950713953284
5.6 7.8 0.999671240049308
5.6 7.9 0.999783443742256
5.6 8 0.999859136713288
5.7 2 0.549757524777304
5.7 2.1 0.54977047819139
5.7 2.2 0.549791315946987
5.7 2.3 0.549824308400258
5.7 2.4 0.549875722446536
5.7 2.5 0.549954582896511
5.7 2.6 0.550073639661002
5.7 2.7 0.550250558309545
5.7 2.8 0.550509335216072
5.7 2.9 0.550881913685614
5.7 3 0.551409943711663
5.7 3.1 0.55214658616477
5.7 3.2 0.553158214802033
5.7 3.3 0.554525821079309
5.7 3.4 0.556345883952695
5.7 3.5 0.558730437952896
5.7 3.6 0.561806066908147
5.7 3.7 0.565711576385496
5.7 3.8 0.570594161653154
5.7 3.9 0.576603992203531
5.7 4 0.583887275520687
5.7 4.1 0.592578032175515
5.7 4.2 0.602788995250036
5.7 4.3 0.614602217886049
5.7 4.4 0.628060108808085
5.7 4.5 0.643157692868886
5.7 4.6 0.659836892412839
5.7 4.7 0.67798353436834
5.7 4.8 0.697427607682387
5.7 4.9 0.71794703899841
5.7 5 0.739274946449168
5.7 5.1 0.761110006458636
5.7 5.2 0.783129265522051
5.7 5.3 0.805002485981488
5.7 5.4 0.826406962868847
5.7 5.5 0.847041707251729
5.7 5.6 0.866639964773327
5.7 5.7 0.884979215498988
5.7 5.8 0.901888058628271
5.7 5.9 0.917249689533163
5.7 6 0.931001989250403
5.7 6.1 0.94313453182157
5.7 6.2 0.953683043088925
5.7 6.3 0.962721996140169
5.7 6.4 0.970356095699591
5.7 6.5 0.976711389947466
5.7 6.6 0.981926666495582
5.7 6.7 0.986145658839386
5.7 6.8 0.989510432559226
5.7 6.9 0.992156158210569
5.7 7 0.994207328233316
5.7 7.1 0.99577535128116
5.7 7.2 0.996957366391078
5.7 7.3 0.997836063257408
5.7 7.4 0.998480271018433
5.7 7.5 0.998946080843402
5.7 7.6 0.999278290075785
5.7 7.7 0.999511990303911
5.7 7.8 0.999674161751642
5.7 7.9 0.999785176389222
5.7 8 0.999860148328844
5.8 2 0.587528665778991
5.8 2.1 0.587538859378888
5.8 2.2 0.587555348818433
5.8 2.3 0.587581601268333
5.8 2.4 0.587622737592217
5.8 2.5 0.587686179922336
5.8 2.6 0.58778248237405
5.8 2.7 0.587926364539547
5.8 2.8 0.588137954521222
5.8 2.9 0.588444227829883
5.8 3 0.58888059976953
5.8 3.1 0.589492592292556
5.8 3.2 0.590337453552868
5.8 3.3 0.591485563144618
5.8 3.4 0.59302141386147
5.8 3.5 0.59504392903224
5.8 3.6 0.597665861437509
5.8 3.7 0.601012033812888
5.8 3.8 0.605216228812884
5.8 3.9 0.610416621673376
5.8 4 0.616749770524908
5.8 4.1 0.62434333030937
5.8 4.2 0.633307823215974
5.8 4.3 0.643727962634007
5.8 4.4 0.655654166378569
5.8 4.5 0.669094985333237
5.8 4.6 0.684011195688488
5.8 4.7 0.700312243482945
5.8 4.8 0.717855585983516
5.8 4.9 0.736449254146323
5.8 5 0.75585768429739
5.8 5.1 0.775810565244643
5.8 5.2 0.796014155030253
5.8 5.3 0.81616427581111
5.8 5.4 0.835960027346298
5.8 5.5 0.855117190865996
5.8 5.6 0.873380334063813
5.8 5.7 0.890532768504278
5.8 5.8 0.906403733455098
5.8 5.9 0.920872455556102
5.8 6 0.933869027006183
5.8 6.1 0.945372321258985
5.8 6.2 0.955405394693426
5.8 6.3 0.964028984225789
5.8 6.4 0.971333794019532
5.8 6.5 0.977432269984669
5.8 6.6 0.982450498792023
5.8 6.7 0.986520755581839
5.8 6.8 0.989775081789028
5.8 6.9 0.992340122053058
5.8 7 0.994333304943003
5.8 7.1 0.995860329659943
5.8 7.2 0.997013828119852
5.8 7.3 0.997873011780748
5.8 7.4 0.998504083742471
5.8 7.5 0.998961194310432
5.8 7.6 0.999287735859415
5.8 7.7 0.999517803410748
5.8 7.8 0.999677684277312
5.8 7.9 0.999787278018688
5.8 8 0.999861382843195
5.9 2 0.624506450000554
5.9 2.1 0.62451438966019
5.9 2.2 0.624527305170482
5.9 2.3 0.624547982589856
5.9 2.4 0.624580563395858
5.9 2.5 0.624631089277397
5.9 2.6 0.624708207793668
5.9 2.7 0.624824059509519
5.9 2.8 0.624995357363086
5.9 2.9 0.625244652549196
5.9 3 0.625601757226951
5.9 3.1 0.626105262830681
5.9 3.2 0.626804054874423
5.9 3.3 0.627758683685359
5.9 3.4 0.62904241006157
5.9 3.5 0.63074171169929
5.9 3.6 0.632956017877982
5.9 3.7 0.635796444173017
5.9 3.8 0.639383332799683
5.9 3.9 0.643842472039546
5.9 4 0.649299970534027
5.9 4.1 0.655875894305378
5.9 4.2 0.663676925632558
5.9 4.3 0.672788457364606
5.9 4.4 0.68326667388141
5.9 4.5 0.69513126918048
5.9 4.6 0.708359493700626
5.9 4.7 0.722882190006236
5.9 4.8 0.738582367329272
5.9 4.9 0.755296680766436
5.9 5 0.772819938339703
5.9 5.1 0.790912483600144
5.9 5.2 0.809310025045065
5.9 5.3 0.827735240460666
5.9 5.4 0.845910305459616
5.9 5.5 0.86356940409799
5.9 5.6 0.880470287096006
5.9 5.7 0.89640404806202
5.9 5.8 0.911202475498352
5.9 5.9 0.924742583088609
5.9 6 0.936948191337785
5.9 6.1 0.94778869714657
5.9 6.2 0.957275394838056
5.9 6.3 0.965455880317319
5.9 6.4 0.972407166958102
5.9 6.5 0.978228165390358
5.9 6.6 0.983032136908333
5.9 6.7 0.986939636125878
5.9 6.8 0.99007233123966
5.9 6.9 0.992547949206046
5.9 7 0.994476455844756
5.9 7.1 0.995957461087729
5.9 7.2 0.997078746170936
5.9 7.3 0.997915746404921
5.9 7.4 0.998531789757083
5.9 7.5 0.998978884038531
5.9 7.6 0.999298858203036
5.9 7.7 0.999524689559746
5.9 7.8 0.9996818822539
5.9 7.9 0.999789797824788
5.9 8 0.999862871995572
6 2 0.660374515846994
6 2.1 0.660380636147619
6 2.2 0.660390648409157
6 2.3 0.660406768106489
6 2.4 0.660432309941497
6 2.5 0.660472141131209
6 2.6 0.660533274187414
6 2.7 0.660625619846652
6 2.8 0.66076291352899
6 2.9 0.660963815731819
6 3 0.661253167119721
6 3.1 0.661663352412826
6 3.2 0.662235694185472
6 3.3 0.663021760420297
6 3.4 0.664084431784695
6 3.5 0.665498541390891
6 3.6 0.667350877861763
6 3.7 0.669739339066974
6 3.8 0.672771045688276
6 3.9 0.676559275798236
6 4 0.681219165641539
6 4.1 0.686862235052321
6 4.2 0.693589930431887
6 4.3 0.701486520726437
6 4.4 0.710611814936124
6 4.5 0.720994273691897
6 4.6 0.732625143307976
6 4.7 0.745454233272091
6 4.8 0.75938787915396
6 4.9 0.774289483465155
6 5 0.789982818439303
6 5.1 0.806258027949599
6 5.2 0.822880008917716
6 5.3 0.839598616958442
6 5.4 0.856159956628309
6 5.5 0.872317907441123
6 5.6 0.887845016877299
6 5.7 0.902541962989675
6 5.8 0.916244941650432
6 5.9 0.928830546239809
6 6 0.940217952818865
6 6.1 0.950368471065088
6 6.2 0.959282741904956
6 6.3 0.96699603412899
6 6.4 0.973572200130995
6 6.5 0.979096890698477
6 6.6 0.983670605016291
6 6.7 0.987402076508505
6 6.8 0.990402384193636
6 6.9 0.992780050855345
6 7 0.994637260453012
6 7.1 0.996067211600591
6 7.2 0.997152531071569
6 7.3 0.997964605906693
6 7.4 0.998563655300209
6 7.5 0.99899935115858
6 7.6 0.999311804025763
6 7.7 0.999532752924615
6 7.8 0.999686827576451
6 7.9 0.999792784197774
6 8 0.999864647596902
6.1 2 0.69484612581834
6.1 2.1 0.69485079464966
6.1 2.2 0.694858475944911
6.1 2.3 0.694870912980159
6.1 2.4 0.69489073100136
6.1 2.5 0.694921810199679
6.1 2.6 0.694969778099296
6.1 2.7 0.695042641336542
6.1 2.8 0.695151571661369
6.1 2.9 0.695311851039886
6.1 3 0.695543964964497
6.1 3.1 0.69587481094469
6.1 3.2 0.696338960931068
6.1 3.3 0.696979883545683
6.1 3.4 0.697850997295631
6.1 3.5 0.699016393778133
6.1 3.6 0.700551045913025
6.1 3.7 0.702540306943387
6.1 3.8 0.705078517755095
6.1 3.9 0.708266578194658
6.1 4 0.712208405199031
6.1 4.1 0.717006295617134
6.1 4.2 0.722755328888417
6.1 4.3 0.729537073661679
6.1 4.4 0.737412988141889
6.1 4.5 0.746418008892437
6.1 4.6 0.756554889118197
6.1 4.7 0.767789859810417
6.1 4.8 0.780050135767679
6.1 4.9 0.793223671573262
6.1 5 0.80716139753864
6.1 5.1 0.82168194898699
6.1 5.2 0.836578668016144
6.1 5.3 0.851628433229827
6.1 5.4 0.866601688130772
6.1 5.5 0.881272916926443
6.1 5.6 0.895430773325542
6.1 5.7 0.908887108805668
6.1 5.8 0.921484265712355
6.1 5.9 0.933100181004075
6.1 6 0.943651064525728
6.1 6.1 0.953091643717131
6.1 6.2 0.961413177532653
6.1 6.3 0.968639613365166
6.1 6.4 0.974822376495527
6.1 6.5 0.980034335293812
6.1 6.6 0.984363478982737
6.1 6.7 0.987906787393187
6.1 6.8 0.990764677909204
6.1 6.9 0.993036300085199
6.1 7 0.99481582925003
6.1 7.1 0.99618980038608
6.1 7.2 0.997235432504855
6.1 7.3 0.998019827150637
6.1 7.4 0.99859988397259
6.1 7.5 0.999022759587753
6.1 7.6 0.99932669898654
6.1 7.7 0.999542086095774
6.1 7.8 0.999692586206103
6.1 7.9 0.99979628274706
6.1 8 0.999866740340926
6.2 2 0.727670912667061
6.2 2.1 0.727674437011683
6.2 2.2 0.727680268607425
6.2 2.3 0.727689764681084
6.2 2.4 0.727704982517586
6.2 2.5 0.72772898292736
6.2 2.6 0.727766234637842
6.2 2.7 0.727823138364554
6.2 2.8 0.727908685888096
6.2 2.9 0.72803526205481
6.2 3 0.728219585231634
6.2 3.1 0.728483763714275
6.2 3.2 0.728856421878324
6.2 3.3 0.729373821386787
6.2 3.4 0.730080871650084
6.2 3.5 0.731031893456566
6.2 3.6 0.732290975017392
6.2 3.7 0.733931746288284
6.2 3.8 0.736036401276414
6.2 3.9 0.738693824317892
6.2 4 0.741996728331258
6.2 4.1 0.746037791063166
6.2 4.2 0.75090487559795
6.2 4.3 0.756675535731347
6.2 4.4 0.763411122904489
6.2 4.5 0.771150913951428
6.2 4.6 0.779906751564661
6.2 4.7 0.789658717222276
6.2 4.8 0.800352328618955
6.2 4.9 0.811897666255652
6.2 5 0.824170690786142
6.2 5.1 0.837016826503704
6.2 5.2 0.850256676859021
6.2 5.3 0.86369352986855
6.2 5.4 0.877122130751301
6.2 5.5 0.890338069504883
6.2 5.6 0.903147069417973
6.2 5.7 0.915373476644581
6.2 5.8 0.926867338534197
6.2 5.9 0.937509607165025
6.2 6 0.947215194436763
6.2 6.1 0.95593381161888
6.2 6.2 0.963648724233715
6.2 6.3 0.970373720432466
6.2 6.4 0.976148711412161
6.2 6.5 0.981034447423603
6.2 6.6 0.985106842060233
6.2 6.7 0.98845135740778
6.2 6.8 0.991157825073378
6.2 6.9 0.993315977676264
6.2 7 0.9950118569785
6.2 7.1 0.996325161627824
6.2 7.2 0.997327509460846
6.2 7.3 0.998081522589454
6.2 7.4 0.99864060033108
6.2 7.5 0.999049224425337
6.2 7.6 0.999343639508987
6.2 7.7 0.999552764747937
6.2 7.8 0.999699214698661
6.2 7.9 0.999800334099907
6.2 8 0.999869178444289
6.3 2 0.758640054687353
6.3 2.1 0.758642687109548
6.3 2.2 0.758647067997931
6.3 2.3 0.758654242776895
6.3 2.4 0.758665806529728
6.3 2.5 0.758684148138188
6.3 2.6 0.758712778639909
6.3 2.7 0.75875676096452
6.3 2.8 0.7588232561231
6.3 2.9 0.758922195606641
6.3 3 0.759067080252423
6.3 3.1 0.759275891437045
6.3 3.2 0.759572080898135
6.3 3.3 0.759985581275086
6.3 3.4 0.760553752111576
6.3 3.5 0.761322148289876
6.3 3.6 0.762344973580165
6.3 3.7 0.763685066068339
6.3 3.8 0.765413260010394
6.3 3.9 0.767606985149036
6.3 4 0.770348003373819
6.3 4.1 0.773719245048454
6.3 4.2 0.777800791254991
6.3 4.3 0.782665147586717
6.3 4.4 0.788372060048067
6.3 4.5 0.794963221061257
6.3 4.6 0.802457288910237
6.3 4.7 0.810845683083662
6.3 4.8 0.820089609792407
6.3 4.9 0.830118710600322
6.3 5 0.840831613782278
6.3 5.1 0.852098511564836
6.3 5.2 0.863765702772803
6.3 5.3 0.87566185077954
6.3 5.4 0.887605534490168
6.3 5.5 0.899413537562467
6.3 5.6 0.910909245625174
6.3 5.7 0.921930512772027
6.3 5.8 0.93233641784711
6.3 5.9 0.942012449558883
6.3 6 0.950873821099775
6.3 6.1 0.958866798484462
6.3 6.2 0.965968109356962
6.3 6.3 0.972182659432336
6.3 6.4 0.977539905597458
6.3 6.5 0.982089308164816
6.3 6.6 0.985895307312241
6.3 6.7 0.989032244574924
6.3 6.8 0.991579588876146
6.3 6.9 0.993617740657872
6.3 7 0.995224590796723
6.3 7.1 0.996472915675873
6.3 7.2 0.997428605967626
6.3 7.3 0.998149660908684
6.3 7.4 0.998685835111971
6.3 7.5 0.999078801085973
6.3 7.6 0.999362685052477
6.3 7.7 0.999564842309211
6.3 7.8 0.999706756632357
6.3 7.9 0.999804971572948
6.3 8 0.999871986169006
6.4 2 0.787589716265641
6.4 2.1 0.787591661687645
6.4 2.2 0.787594918043848
6.4 2.3 0.787600281963755
6.4 2.4 0.787608976950419
6.4 2.5 0.787622847571961
6.4 2.6 0.787644623043019
6.4 2.7 0.787678265543173
6.4 2.8 0.787729417545868
6.4 2.9 0.787805958783754
6.4 3 0.787918676390209
6.4 3.1 0.788082040497129
6.4 3.2 0.788315061739904
6.4 3.3 0.788642186912134
6.4 3.4 0.789094165447093
6.4 3.5 0.789708794524566
6.4 3.6 0.79053142754221
6.4 3.7 0.791615113542615
6.4 3.8 0.793020228633405
6.4 3.9 0.79481346912249
6.4 4 0.797066103775926
6.4 4.1 0.799851431215848
6.4 4.2 0.80324145719801
6.4 4.3 0.807302891156366
6.4 4.4 0.812092654247022
6.4 4.5 0.817653181352571
6.4 4.6 0.824007874363978
6.4 4.7 0.831157110589738
6.4 4.8 0.839075217329841
6.4 4.9 0.847708784553214
6.4 5 0.856976601121922
6.4 5.1 0.866771371787985
6.4 5.2 0.876963214573739
6.4 5.3 0.887404768786375
6.4 5.4 0.897937583423821
6.4 5.5 0.908399324624434
6.4 5.6 0.918631256328434
6.4 5.7 0.928485421631883
6.4 5.8 0.937830986744845
6.4 5.9 0.94655929997811
6.4 6 0.954587352276123
6.4 6.1 0.96185948561818
6.4 6.2 0.968347360778917
6.4 6.3 0.974048346783073
6.4 6.4 0.978982614690402
6.4 6.5 0.983189297387055
6.4 6.6 0.986722110588454
6.4 6.7 0.989644820338739
6.4 6.8 0.992026896189356
6.4 6.9 0.993939617665119
6.4 7 0.995452816717827
6.4 7.1 0.996632352285627
6.4 7.2 0.997538334506808
6.4 7.3 0.998224052368909
6.4 7.4 0.998735513190421
6.4 7.5 0.999111475931871
6.4 7.6 0.999383851136876
6.4 7.7 0.999578344958955
6.4 7.8 0.999715239139042
6.4 7.9 0.99981021883975
6.4 8 0.999875182298966
6.5 2 0.814402690513962
6.5 2.1 0.814404112937915
6.5 2.2 0.814406507750238
6.5 2.3 0.814410475454624
6.5 2.4 0.814416944440788
6.5 2.5 0.814427323692959
6.5 2.6 0.814443711951736
6.5 2.7 0.814469176771394
6.5 2.8 0.814508116572825
6.5 2.9 0.814566716443331
6.5 3 0.814653503310241
6.5 3.1 0.814779997509439
6.5 3.2 0.814961445206818
6.5 3.3 0.815217599575916
6.5 3.4 0.81557349871753
6.5 3.5 0.816060166510866
6.5 3.6 0.816715141352473
6.5 3.7 0.817582720420379
6.5 3.8 0.818713797706899
6.5 3.9 0.820165176784261
6.5 4 0.821998257781164
6.5 4.1 0.824277034697433
6.5 4.2 0.827065394140484
6.5 4.3 0.830423777171014
6.5 4.4 0.834405346395422
6.5 4.5 0.839051882005312
6.5 4.6 0.844389702283802
6.5 4.7 0.850425954580061
6.5 4.8 0.857145641367898
6.5 4.9 0.864509725223349
6.5 5 0.872454593567073
6.5 5.1 0.880893061835853
6.5 5.2 0.889716961436518
6.5 5.3 0.898801210675472
6.5 5.4 0.908009120522452
6.5 5.5 0.917198561071954
6.5 5.6 0.926228525408348
6.5 5.7 0.934965587108841
6.5 5.8 0.943289761109232
6.5 5.9 0.951099342980143
6.5 6 0.958314409678697
6.5 6.1 0.964878800961048
6.5 6.2 0.970760547212901
6.5 6.3 0.975950848539955
6.5 6.4 0.980461825977168
6.5 6.5 0.984323347461156
6.5 6.6 0.987579273188422
6.5 6.7 0.990283467333377
6.5 6.8 0.992495891010998
6.5 6.9 0.994279033609493
6.5 7 0.995694866778171
6.5 7.1 0.996802428084354
6.5 7.2 0.997656068894263
6.5 7.3 0.998304340238708
6.5 7.4 0.998789445318802
6.5 7.5 0.999147159154567
6.5 7.6 0.99940710364207
6.5 7.7 0.999593267304161
6.5 7.8 0.999724669765881
6.5 7.9 0.999816087737079
6.5 8 0.999878778657179
6.6 2 0.839008280205617
6.6 2.1 0.839009309118713
6.6 2.2 0.839011051557474
6.6 2.3 0.839013955281251
6.6 2.4 0.839018717128721
6.6 2.5 0.839026401735385
6.6 2.6 0.839038605603527
6.6 2.7 0.839057678072999
6.6 2.8 0.839087010899497
6.6 2.9 0.83913140677453
6.6 3 0.839197533553393
6.6 3.1 0.839294464542349
6.6 3.2 0.839434295428278
6.6 3.3 0.839632815127967
6.6 3.4 0.83991019131944
6.6 3.5 0.840291612721787
6.6 3.6 0.840807811161039
6.6 3.7 0.841495369776326
6.6 3.8 0.842396712736845
6.6 3.9 0.843559670233537
6.6 4 0.845036523733654
6.6 4.1 0.84688246307659
6.6 4.2 0.849153429816904
6.6 4.3 0.851903378841767
6.6 4.4 0.855181058551815
6.6 4.5 0.859026481950354
6.6 4.6 0.863467327826731
6.6 4.7 0.868515562729131
6.6 4.8 0.874164600860269
6.6 4.9 0.880387312729479
6.6 5 0.887135150371947
6.6 5.1 0.894338578087986
6.6 5.2 0.901908889199337
6.6 5.3 0.909741362432031
6.6 5.4 0.917719580981842
6.6 5.5 0.925720619391095
6.6 5.6 0.933620713409158
6.6 5.7 0.94130097798606
6.6 5.8 0.948652735099389
6.6 5.9 0.955582056483428
6.6 6 0.962013210361103
6.6 6.1 0.967890814479635
6.6 6.2 0.973180625196803
6.6 6.3 0.977869018090975
6.6 6.4 0.981961324982357
6.6 6.5 0.985479274154457
6.6 6.6 0.988457828445445
6.6 6.7 0.990941728351552
6.6 6.8 0.992982027658146
6.6 6.9 0.994632864295672
6.6 7 0.995948648114426
6.6 7.1 0.996981779605406
6.6 7.2 0.99778094790177
6.6 7.3 0.998389999417675
6.6 7.4 0.998847324528501
6.6 7.5 0.9991856805811
6.6 7.6 0.999432354874827
6.6 7.7 0.999609569079905
6.6 7.8 0.999735033901391
6.6 7.9 0.999822576362798
6.6 8 0.999882778760493
6.7 2 0.861380544365168
6.7 2.1 0.861381280642905
6.7 2.2 0.861382534846856
6.7 2.3 0.861384637209265
6.7 2.4 0.861388105082008
6.7 2.5 0.861393734172381
6.7 2.6 0.861402725757537
6.7 2.7 0.861416859620509
6.7 2.8 0.861438722925039
6.7 2.9 0.86147200458082
6.7 3 0.86152186228386
6.7 3.1 0.861595364767362
6.7 3.2 0.861702004367917
6.7 3.3 0.861854264523572
6.7 3.4 0.862068213386537
6.7 3.5 0.8623640790212
6.7 3.6 0.862766745020623
6.7 3.7 0.863306089898123
6.7 3.8 0.864017082033641
6.7 3.9 0.864939537423103
6.7 4 0.866117453125191
6.7 4.1 0.867597847674396
6.7 4.2 0.869429072154542
6.7 4.3 0.871658601586693
6.7 4.4 0.874330372987437
6.7 4.5 0.877481798709437
6.7 4.6 0.881140644204049
6.7 4.7 0.885322009540058
6.7 4.8 0.890025685126162
6.7 4.9 0.895234156671825
6.7 5 0.900911507798149
6.7 5.1 0.907003410149501
6.7 5.2 0.91343830423399
6.7 5.3 0.920129767923243
6.7 5.4 0.926979955562539
6.7 5.5 0.933883882962319
6.7 5.6 0.940734246047658
6.7 5.7 0.947426405242612
6.7 5.8 0.95386315121476
6.7 5.9 0.959958892484661
6.7 6 0.965642968007319
6.7 6.1 0.970861879494319
6.7 6.2 0.975580346702459
6.7 6.3 0.979781200296845
6.7 6.4 0.983464227872046
6.7 6.5 0.986644168406321
6.7 6.6 0.989348101768798
6.7 6.7 0.991612500276711
6.7 6.8 0.993480200384793
6.7 6.9 0.994997519557208
6.7 7 0.996211693669129
6.7 7.1 0.997168752232531
6.7 7.2 0.997911890239109
6.7 7.3 0.998480342935144
6.7 7.4 0.998908727831324
6.7 7.5 0.999226788938958
6.7 7.6 0.999459461822003
6.7 7.7 0.999627173185464
6.7 7.8 0.99974629298744
6.7 7.9 0.999829667616889
6.7 8 0.999887176711672
6.8 2 0.881535114839758
6.8 2.1 0.881535636032402
6.8 2.2 0.881536529097212
6.8 2.3 0.881538034923801
6.8 2.4 0.881540533411713
6.8 2.5 0.881544612780627
6.8 2.6 0.881551167066758
6.8 2.7 0.881561529884582
6.8 2.8 0.881577653182332
6.8 2.9 0.88160233954203
6.8 3 0.881639535106935
6.8 3.1 0.881694686958339
6.8 3.2 0.881775163242598
6.8 3.3 0.881890726247807
6.8 3.4 0.882054037910407
6.8 3.5 0.882281164288816
6.8 3.6 0.882592031325327
6.8 3.7 0.883010770309698
6.8 3.8 0.883565880040717
6.8 3.9 0.884290126380026
6.8 4 0.885220101460613
6.8 4.1 0.886395376684476
6.8 4.2 0.88785720738868
6.8 4.3 0.889646782828381
6.8 4.4 0.89180306121155
6.8 4.5 0.894360282144059
6.8 4.6 0.89734530228419
6.8 4.7 0.900774947126305
6.8 4.8 0.904653604993742
6.8 4.9 0.908971301567061
6.8 5 0.913702479622684
6.8 5.1 0.918805667236383
6.8 5.2 0.924224150498786
6.8 5.3 0.929887679783151
6.8 5.4 0.935715141243378
6.8 5.5 0.941618029193455
6.8 5.6 0.947504472566647
6.8 5.7 0.953283510660392
6.8 5.8 0.958869287623848
6.8 5.9 0.964184845044992
6.8 6 0.969165236023587
6.8 6.1 0.973759756110675
6.8 6.2 0.977933176693517
6.8 6.3 0.981665963057387
6.8 6.4 0.984953550578668
6.8 6.5 0.987804828040415
6.8 6.6 0.990240029642483
6.8 6.7 0.992288263381968
6.8 6.8 0.993984903417402
6.8 6.9 0.99536905142026
6.8 7 0.996481232713701
6.8 7.1 0.99736144430042
6.8 7.2 0.998047620758384
6.8 7.3 0.998574536505349
6.8 7.4 0.998973123533025
6.8 7.5 0.999270154915414
6.8 7.6 0.999488226893083
6.8 7.7 0.999645965303898
6.8 7.8 0.999758383706447
6.8 7.9 0.99983732832268
6.8 8 0.999891956423799
6.9 2 0.899524845629142
6.9 2.1 0.899525210576382
6.9 2.2 0.899525839623025
6.9 2.3 0.899526906557188
6.9 2.4 0.89952868728373
6.9 2.5 0.899531611871173
6.9 2.6 0.899536338405288
6.9 2.7 0.89954385523893
6.9 2.8 0.899555618948716
6.9 2.9 0.899573735447613
6.9 3 0.899601190884666
6.9 3.1 0.899642136765189
6.9 3.2 0.899702229727606
6.9 3.3 0.899789020286488
6.9 3.4 0.899912376464146
6.9 3.5 0.900084917779074
6.9 3.6 0.900322423175045
6.9 3.7 0.90064416432111
6.9 3.8 0.901073104986292
6.9 3.9 0.901635900029979
6.9 4 0.902362626305618
6.9 4.1 0.903286184678495
6.9 4.2 0.904441329061558
6.9 4.3 0.905863305475378
6.9 4.4 0.9075861207604
6.9 4.5 0.909640504092251
6.9 4.6 0.912051670516163
6.9 4.7 0.914837038559722
6.9 4.8 0.918004087106094
6.9 4.9 0.921548553834499
6.9 5 0.925453173698043
6.9 5.1 0.929687128508158
6.9 5.2 0.934206328263494
6.9 5.3 0.938954575387024
6.9 5.4 0.943865581696941
6.9 5.5 0.948865724248153
6.9 5.6 0.953877350649698
6.9 5.7 0.95882238698822
6.9 5.8 0.963625969776965
6.9 5.9 0.968219821661844
6.9 6 0.972545119062296
6.9 6.1 0.976554654470759
6.9 6.2 0.980214169295702
6.9 6.3 0.983502815221896
6.9 6.4 0.986412782743915
6.9 6.5 0.988948205396596
6.9 6.6 0.991123500084335
6.9 6.7 0.992961333694348
6.9 6.8 0.994490413094277
6.9 6.9 0.995743281928433
6.9 7 0.996754277914263
6.9 7.1 0.997557764498748
6.9 7.2 0.998186706946861
6.9 7.3 0.998671620764077
6.9 7.4 0.999039884097036
6.9 7.5 0.999315378103757
6.9 7.6 0.999518401303213
6.9 7.7 0.999665795262116
6.9 7.8 0.999771218281501
6.9 7.9 0.999845509037858
6.9 8 0.999897091258446
7 2 0.915434595107467
7 2.1 0.915434847874142
7 2.2 0.915435286152361
7 2.3 0.915436033937828
7 2.4 0.915437289400686
7 2.5 0.915439363517337
7 2.6 0.91544273536382
7 2.7 0.915448129360352
7 2.8 0.915456620477675
7 2.9 0.915469773740441
7 3 0.9154898239959
7 3.1 0.91551990050928
7 3.2 0.915564298137034
7 3.3 0.915628792299118
7 3.4 0.915720988539321
7 3.5 0.915850689183336
7 3.6 0.916030249875292
7 3.7 0.916274888418737
7 3.8 0.916602898651024
7 3.9 0.917035714737904
7 4 0.91759776824938
7 4.1 0.918316083635815
7 4.2 0.919219568883506
7 4.3 0.920337978056404
7 4.4 0.921700550849411
7 4.5 0.923334369490857
7 4.6 0.925262512132835
7 4.7 0.927502119726698
7 4.8 0.930062524914457
7 4.9 0.932943611178009
7 5 0.936134573673077
7 5.1 0.939613236845436
7 5.2 0.943346047571839
7 5.3 0.947288808570837
7 5.4 0.951388150421304
7 5.5 0.955583669227177
7 5.6 0.959810589564452
7 5.7 0.964002757585464
7 5.8 0.968095734355001
7 5.9 0.972029749354103
7 6 0.975752289920241
7 6.1 0.979220141909942
7 6.2 0.982400754588609
7 6.3 0.985272870917684
7 6.4 0.987826434260267
7 6.5 0.990061845658517
7 6.6 0.991988695415697
7 6.7 0.993624124339547
7 6.8 0.994990982089305
7 6.9 0.996115943753226
7 7 0.997027724407601
7 7.1 0.997755499727355
7 7.2 0.998327604013295
7 7.3 0.998770540254122
7 7.4 0.999108304102682
7 7.5 0.999361997660692
7 7.6 0.999549691071738
7 7.7 0.999686480177083
7 7.8 0.999784685959377
7 7.9 0.999854144625401
7 8 0.99990254413733
7.1 2 0.929375456834254
7.1 2.1 0.929375629995734
7.1 2.2 0.929375932037728
7.1 2.3 0.929376450450619
7.1 2.4 0.929377325997025
7.1 2.5 0.929378781054119
7.1 2.6 0.929381160528618
7.1 2.7 0.929384989525311
7.1 2.8 0.929391052624946
7.1 2.9 0.929400500043585
7.1 3 0.929414985875092
7.1 3.1 0.929436842781695
7.1 3.2 0.929469295588466
7.1 3.3 0.929516712968761
7.1 3.4 0.929584891576306
7.1 3.5 0.929681360550926
7.1 3.6 0.92981568652191
7.1 3.7 0.929999750616049
7.1 3.8 0.930247960490286
7.1 3.9 0.930577353366351
7.1 4 0.931007542038939
7.1 4.1 0.93156045654379
7.1 4.2 0.932259841109983
7.1 4.3 0.933130480171239
7.1 4.4 0.934197148710533
7.1 4.5 0.935483310067798
7.1 4.6 0.937009616291604
7.1 4.7 0.938792298703838
7.1 4.8 0.940841565228377
7.1 4.9 0.943160141534036
7.1 5 0.945742100875767
7.1 5.1 0.948572119587919
7.1 5.2 0.951625270281659
7.1 5.3 0.954867424077072
7.1 5.4 0.958256280273797
7.1 5.5 0.961742982485633
7.1 5.6 0.965274221589334
7.1 5.7 0.968794675380557
7.1 5.8 0.972249599293804
7.1 5.9 0.975587366735271
7.1 6 0.978761763616013
7.1 6.1 0.981733868642085
7.1 6.2 0.984473395035868
7.1 6.3 0.986959424624146
7.1 6.4 0.98918052439981
7.1 6.5 0.991134291430494
7.1 6.6 0.992826418042467
7.1 6.7 0.994269401097094
7.1 6.8 0.995481034764787
7.1 6.9 0.996482825722152
7.1 7 0.997298455424819
7.1 7.1 0.997952389746185
7.1 7.2 0.998468706217783
7.1 7.3 0.998870177718898
7.1 7.4 0.999177622464689
7.1 7.5 0.99940950622954
7.1 7.6 0.999581765425666
7.1 7.7 0.99970780931057
7.1 7.8 0.999798655667597
7.1 7.9 0.999863155606071
7.1 8 0.999908268158397
7.2 2 0.941478749494049
7.2 2.1 0.941478866824114
7.2 2.2 0.941479072706622
7.2 2.3 0.941479428188658
7.2 2.4 0.941480032146015
7.2 2.5 0.94148104183523
7.2 2.6 0.941482702815543
7.2 2.7 0.941485391495867
7.2 2.8 0.941489674164273
7.2 2.9 0.941496386800374
7.2 3 0.94150674008156
7.2 3.1 0.941522453553167
7.2 3.2 0.941545921689433
7.2 3.3 0.941580412275983
7.2 3.4 0.941630293993957
7.2 3.5 0.941701285193267
7.2 3.6 0.941800709709157
7.2 3.7 0.941937738563377
7.2 3.8 0.942123589171151
7.2 3.9 0.94237164724007
7.2 4 0.942697472157302
7.2 4.1 0.943118645717708
7.2 4.2 0.943654427884564
7.2 4.3 0.944325192906273
7.2 4.4 0.945151634931277
7.2 4.5 0.946153753791957
7.2 4.6 0.947349657354067
7.2 4.7 0.948754244194907
7.2 4.8 0.950377855970368
7.2 4.9 0.952225008787352
7.2 5 0.954293323448304
7.2 5.1 0.956572772573808
7.2 5.2 0.959045346723467
7.2 5.3 0.961685211976448
7.2 5.4 0.964459390321173
7.2 5.5 0.96732894588183
7.2 5.6 0.970250610140391
7.2 5.7 0.973178734181715
7.2 5.8 0.976067421540571
7.2 5.9 0.978872676113895
7.2 6 0.981554398411307
7.2 6.1 0.984078080257006
7.2 6.2 0.986416080537222
7.2 6.3 0.988548408237184
7.2 6.4 0.990462988023257
7.2 6.5 0.992155431795812
7.2 6.6 0.993628381314881
7.2 6.7 0.994890517875571
7.2 6.8 0.995955352625117
7.2 6.9 0.996839915018924
7.2 7 0.997563448490982
7.2 7.1 0.998146204434366
7.2 7.2 0.998608401610481
7.2 7.3 0.99896939185426
7.2 7.4 0.999247047755463
7.2 7.5 0.999457366437698
7.2 7.6 0.999614267219096
7.2 7.7 0.999729550430679
7.2 7.8 0.999812979753376
7.2 7.9 0.999872450260187
7.2 8 0.999914207713756
7.3 2 0.951890053192235
7.3 2.1 0.95189013182067
7.3 2.2 0.95189027062132
7.3 2.3 0.951890511715846
7.3 2.4 0.951890923784311
7.3 2.5 0.951891616794879
7.3 2.6 0.951892763630389
7.3 2.7 0.951894631108987
7.3 2.8 0.951897623414115
7.3 2.9 0.951902341376409
7.3 3 0.951909661258669
7.3 3.1 0.951920836516667
7.3 3.2 0.951937625242864
7.3 3.3 0.951962444435906
7.3 3.4 0.951998549689244
7.3 3.5 0.952050235244463
7.3 3.6 0.952123044629792
7.3 3.7 0.952223976517755
7.3 3.8 0.952361664449631
7.3 3.9 0.95254650341697
7.3 4 0.952790691934625
7.3 4.1 0.953108156319561
7.3 4.2 0.953514325552934
7.3 4.3 0.954025731308198
7.3 4.4 0.954659419008435
7.3 4.5 0.955432172012054
7.3 4.6 0.956359571275762
7.3 4.7 0.957454935286345
7.3 4.8 0.958728207084527
7.3 4.9 0.960184873706643
7.3 5 0.961825015134673
7.3 5.1 0.963642582100749
7.3 5.2 0.96562499304596
7.3 5.3 0.967753119822258
7.3 5.4 0.970001700674234
7.3 5.5 0.972340180638322
7.3 5.6 0.974733938098748
7.3 5.7 0.977145816957458
7.3 5.8 0.979537851825981
7.3 5.9 0.981873053137696
7.3 6 0.984117112901218
7.3 6.1 0.986239900784072
7.3 6.2 0.988216643036665
7.3 6.3 0.990028710264333
7.3 6.4 0.991663979709878
7.3 6.5 0.993116778396504
7.3 6.6 0.994387450275406
7.3 6.7 0.995481619411632
7.3 6.8 0.996409239638583
7.3 6.9 0.997183528084468
7.3 7 0.997819876191143
7.3 7.1 0.998334819271262
7.3 7.2 0.998745127078405
7.3 7.3 0.999067056398446
7.3 7.4 0.999315785230188
7.3 7.5 0.999505029078001
7.3 7.6 0.999646824825547
7.3 7.7 0.999751457364689
7.3 7.8 0.999827498632009
7.3 7.9 0.999881927391942
7.3 8 0.999920300071244
7.4 2 0.960763541555755
7.4 2.1 0.960763593669088
7.4 2.2 0.960763686217638
7.4 2.3 0.960763847940169
7.4 2.4 0.960764126009855
7.4 2.5 0.960764596468119
7.4 2.6 0.960765379672485
7.4 2.7 0.960766662646692
7.4 2.8 0.960768730653381
7.4 2.9 0.960772010696729
7.4 3 0.960777129911926
7.4 3.1 0.960784991783878
7.4 3.2 0.960796872702807
7.4 3.3 0.960814540336762
7.4 3.4 0.960840393515904
7.4 3.5 0.960877620661205
7.4 3.6 0.96093037022266
7.4 3.7 0.961003922233652
7.4 3.8 0.96110484524184
7.4 3.9 0.961241118062169
7.4 4 0.96142219174634
7.4 4.1 0.961658964769446
7.4 4.2 0.961963644653673
7.4 4.3 0.962349472944067
7.4 4.4 0.96283029820671
7.4 4.5 0.963419993646354
7.4 4.6 0.964131731515859
7.4 4.7 0.964977144472206
7.4 4.8 0.965965422495186
7.4 4.9 0.967102410480084
7.4 5 0.968389783490154
7.4 5.1 0.969824381454376
7.4 5.2 0.971397781018325
7.4 5.3 0.973096168557093
7.4 5.4 0.974900555630222
7.4 5.5 0.976787348395908
7.4 5.6 0.97872924893358
7.4 5.7 0.980696433099142
7.4 5.8 0.982657920736017
7.4 5.9 0.984583033630365
7.4 6 0.986442827312014
7.4 6.1 0.988211385922321
7.4 6.2 0.989866884424673
7.4 6.3 0.991392347306915
7.4 6.4 0.992776064218722
7.4 6.5 0.994011656583586
7.4 6.6 0.995097820945702
7.4 6.7 0.996037801042911
7.4 6.8 0.996838658776827
7.4 6.9 0.997510423144952
7.4 7 0.998065195929605
7.4 7.1 0.998516284798447
7.4 7.2 0.998877420578571
7.4 7.3 0.999162098336185
7.4 7.4 0.999383064021444
7.4 7.5 0.999551951951769
7.4 7.6 0.99967906484533
7.4 7.7 0.999773278335632
7.4 7.8 0.999842046102704
7.4 7.9 0.999891479619556
7.4 8 0.999926477347057
7.5 2 0.968256811204114
7.5 2.1 0.968256845363051
7.5 2.2 0.968256906392687
7.5 2.3 0.968257013681324
7.5 2.4 0.968257199267296
7.5 2.5 0.968257515143591
7.5 2.6 0.968258044162839
7.5 2.7 0.968258915950279
7.5 2.8 0.968260329583209
7.5 2.9 0.968262585130339
7.5 3 0.96826612639788
7.5 3.1 0.968271597308346
7.5 3.2 0.968279914123587
7.5 3.3 0.968292355078302
7.5 3.4 0.968310667774855
7.5 3.5 0.968337192790325
7.5 3.6 0.968374999307765
7.5 3.7 0.968428025252414
7.5 3.8 0.968501210577742
7.5 3.9 0.968600608363957
7.5 4 0.968733454799011
7.5 4.1 0.9689081765968
7.5 4.2 0.969134313740763
7.5 4.3 0.96942233736917
7.5 4.4 0.969783347715871
7.5 4.5 0.970228645532103
7.5 4.6 0.970769182111251
7.5 4.7 0.971414907119167
7.5 4.8 0.972174048516918
7.5 4.9 0.973052373086258
7.5 5 0.97405248729501
7.5 5.1 0.975173244372584
7.5 5.2 0.976409322808427
7.5 5.3 0.977751033095802
7.5 5.4 0.979184393502239
7.5 5.5 0.980691493185283
7.5 5.6 0.982251134393939
7.5 5.7 0.983839717914924
7.5 5.8 0.985432310820281
7.5 5.9 0.987003816266501
7.5 6 0.988530154204409
7.5 6.1 0.989989360872382
7.5 6.2 0.99136252397313
7.5 6.3 0.992634488193682
7.5 6.4 0.993794289765628
7.5 6.5 0.994835305865067
7.5 6.6 0.995755131368047
7.5 6.7 0.996555218650265
7.5 6.8 0.997240333331235
7.5 6.9 0.997817888722309
7.5 7 0.998297223975259
7.5 7.1 0.998688886299918
7.5 7.2 0.999003967661734
7.5 7.3 0.999253533065608
7.5 7.4 0.999448162958051
7.5 7.5 0.999597618299701
7.5 7.6 0.99971062490605
7.5 7.7 0.999794764613533
7.5 7.8 0.999856455037707
7.5 7.9 0.999900997013778
7.5 8 0.99993266876689
7.6 2 0.974526356750692
7.6 2.1 0.974526378893582
7.6 2.2 0.974526418694466
7.6 2.3 0.974526489086624
7.6 2.4 0.974526611585126
7.6 2.5 0.974526821340993
7.6 2.6 0.974527174748888
7.6 2.7 0.974527760643072
7.6 2.8 0.974528716394649
7.6 2.9 0.974530250502567
7.6 3 0.97453267350629
7.6 3.1 0.974536439172654
7.6 3.2 0.974542197834414
7.6 3.3 0.974550863376678
7.6 3.4 0.974563694566116
7.6 3.5 0.97458239009402
7.6 3.6 0.974609194792877
7.6 3.7 0.974647011991437
7.6 3.8 0.974699514002321
7.6 3.9 0.974771239526606
7.6 4 0.97486766369329
7.6 4.1 0.97499522404317
7.6 4.2 0.97516128462341
7.6 4.3 0.975374021102079
7.6 4.4 0.975642212969346
7.6 4.5 0.975974934771267
7.6 4.6 0.976381146886321
7.6 4.7 0.976869197127838
7.6 4.8 0.977446256485597
7.6 4.9 0.978117724226521
7.6 5 0.978886647686164
7.6 5.1 0.979753208663248
7.6 5.2 0.980714329859767
7.6 5.3 0.981763450282654
7.6 5.4 0.982890507694663
7.6 5.5 0.984082149734975
7.6 5.6 0.985322174796387
7.6 5.7 0.986592181464292
7.6 5.8 0.987872384047115
7.6 5.9 0.989142534235906
7.6 6 0.990382877581983
7.6 6.1 0.991575069830365
7.6 6.2 0.992702982683112
7.6 6.3 0.993753340635927
7.6 6.4 0.994716148449283
7.6 6.5 0.995584890153266
7.6 6.6 0.996356502470702
7.6 6.7 0.99703114549535
7.6 6.8 0.997611809185608
7.6 6.9 0.998103804301418
7.6 7 0.998514190294127
7.6 7.1 0.998851190699833
7.6 7.2 0.999123639840678
7.6 7.3 0.999340494618197
7.6 7.4 0.999510433573392
7.6 7.5 0.999641553780535
7.6 7.6 0.999741165827581
7.6 7.7 0.999815678987565
7.6 7.8 0.999870563121242
7.6 7.9 0.999910370879955
7.6 8 0.999938803090516
7.7 2 0.979723784952482
7.7 2.1 0.979723799147224
7.7 2.2 0.979723824816517
7.7 2.3 0.979723870490644
7.7 2.4 0.979723950455328
7.7 2.5 0.979724088207867
7.7 2.6 0.979724321702151
7.7 2.7 0.979724711132729
7.7 2.8 0.979725350224118
7.7 2.9 0.979726382217777
7.7 3 0.979728021955302
7.7 3.1 0.979730585595384
7.7 3.2 0.979734529509264
7.7 3.3 0.979740499693912
7.7 3.4 0.979749392533789
7.7 3.5 0.979762426843394
7.7 3.6 0.979781225768284
7.7 3.7 0.979807905292031
7.7 3.8 0.979845163843615
7.7 3.9 0.979896364974271
7.7 4 0.979965602538434
7.7 4.1 0.980057735646021
7.7 4.2 0.980178379317697
7.7 4.3 0.980333836772628
7.7 4.4 0.980530961070016
7.7 4.5 0.980776937733016
7.7 4.6 0.981078986086291
7.7 4.7 0.981443985087745
7.7 4.8 0.981878038805189
7.7 4.9 0.982386006388798
7.7 5 0.982971030148369
7.7 5.1 0.983634101764828
7.7 5.2 0.984373709442811
7.7 5.3 0.985185606967542
7.7 5.4 0.986062738733086
7.7 5.5 0.9869953431262
7.7 5.6 0.987971241189131
7.7 5.7 0.988976299913743
7.7 5.8 0.989995041954987
7.7 5.9 0.991011358252465
7.7 6 0.992009269061781
7.7 6.1 0.992973673724977
7.7 6.2 0.99389103085922
7.7 6.3 0.994749918310055
7.7 6.4 0.995541435119788
7.7 6.5 0.99625942413263
7.7 6.6 0.996900511530896
7.7 6.7 0.997463976357766
7.7 6.8 0.997951477005858
7.7 6.9 0.998366671360218
7.7 7 0.998714772101824
7.7 7.1 0.999002078646678
7.7 7.2 0.999235522985106
7.7 7.3 0.999422259407898
7.7 7.4 0.999569319090079
7.7 7.5 0.999683341072994
7.7 7.6 0.999770382473884
7.7 7.7 0.999835803580066
7.7 7.8 0.999884218310997
7.7 7.9 0.999919497467532
7.7 8 0.99994481106183
7.8 2 0.983992809793375
7.8 2.1 0.983992818791943
7.8 2.2 0.983992835163632
7.8 2.3 0.983992864471244
7.8 2.4 0.98399291609337
7.8 2.5 0.983993005560094
7.8 2.6 0.983993158126567
7.8 2.7 0.983993414120925
7.8 2.8 0.983993836767394
7.8 2.9 0.98399452336387
7.8 3 0.983995620865925
7.8 3.1 0.983997347063888
7.8 3.2 0.984000018590161
7.8 3.3 0.984004086900467
7.8 3.4 0.984010183065509
7.8 3.5 0.984019171617108
7.8 3.6 0.984032212754818
7.8 3.7 0.984050830904035
7.8 3.8 0.984076985943284
7.8 3.9 0.984113141475895
7.8 4 0.984162322485403
7.8 4.1 0.984228152851733
7.8 4.2 0.98431486186327
7.8 4.3 0.984427248431826
7.8 4.4 0.98457059258866
7.8 4.5 0.984750506314523
7.8 4.6 0.984972719976687
7.8 4.7 0.985242806513972
7.8 4.8 0.985565852639845
7.8 4.9 0.985946094036855
7.8 5 0.986386538852306
7.8 5.1 0.986888609684905
7.8 5.2 0.987451837592352
7.8 5.3 0.988073641559406
7.8 5.4 0.988749222830302
7.8 5.5 0.989471595532607
7.8 5.6 0.990231763694565
7.8 5.7 0.991019041236584
7.8 5.8 0.991821497378605
7.8 5.9 0.992626496933073
7.8 6 0.993421294865683
7.8 6.1 0.994193638676283
7.8 6.2 0.994932331382436
7.8 6.3 0.995627712274099
7.8 6.4 0.996272021525698
7.8 6.5 0.996859626964959
7.8 6.6 0.997387105165833
7.8 6.7 0.997853182778804
7.8 6.8 0.998258555997948
7.8 6.9 0.998605615025061
7.8 7 0.998898105587342
7.8 7.1 0.999140760835833
7.8 7.2 0.999338934669654
7.8 7.3 0.999498262477216
7.8 7.4 0.999624368478212
7.8 7.5 0.999722631362205
7.8 7.6 0.999798012717748
7.8 7.7 0.999854946575776
7.8 7.8 0.999897283717254
7.8 7.9 0.99992828139682
7.8 8 0.999950627744441
7.9 2 0.987467024223396
7.9 2.1 0.987467029864474
7.9 2.2 0.987467040190214
7.9 2.3 0.987467058787271
7.9 2.4 0.987467091743145
7.9 2.5 0.987467149206185
7.9 2.6 0.987467247791709
7.9 2.7 0.987467414212726
7.9 2.8 0.987467690636512
7.9 2.9 0.987468142405761
7.9 3 0.987468868902711
7.9 3.1 0.987470018454966
7.9 3.2 0.98747180825048
7.9 3.3 0.987474550203049
7.9 3.4 0.987478683536126
7.9 3.5 0.987484814475219
7.9 3.6 0.987493762805326
7.9 3.7 0.987506614125155
7.9 3.8 0.987524775412527
7.9 3.9 0.987550030053628
7.9 4 0.987584586895086
7.9 4.1 0.987631116336393
7.9 4.2 0.987692765242953
7.9 4.3 0.987773141827276
7.9 4.4 0.987876261929024
7.9 4.5 0.988006449593542
7.9 4.6 0.988168187668247
7.9 4.7 0.988365918304302
7.9 4.8 0.988603798548077
7.9 4.9 0.988885422176025
7.9 5 0.989213524892464
7.9 5.1 0.989589695144638
7.9 5.2 0.990014116243049
7.9 5.3 0.990485366434748
7.9 5.4 0.991000301536412
7.9 5.5 0.991554039539779
7.9 5.6 0.992140058553397
7.9 5.7 0.99275040929877
7.9 5.8 0.993376032275567
7.9 5.9 0.994007159019715
7.9 6 0.994633767996796
7.9 6.1 0.99524605980208
7.9 6.2 0.995834914285896
7.9 6.3 0.996392294267926
7.9 6.4 0.996911566351154
7.9 6.5 0.997387718176987
7.9 6.6 0.997817462075489
7.9 6.7 0.998199226071555
7.9 6.8 0.998533043257049
7.9 6.9 0.998820358512941
7.9 7 0.999063776727251
7.9 7.1 0.999266778718113
7.9 7.2 0.999433430191524
7.9 7.3 0.99956810575776
7.9 7.4 0.999675245052919
7.9 7.5 0.999759152208932
7.9 7.6 0.999823844090311
7.9 7.7 0.999872947524527
7.9 7.8 0.999909641640737
7.9 7.9 0.999936638615418
7.9 8 0.999956194612097
8 2 0.990268406125924
8 2.1 0.990268409622832
8 2.2 0.990268416062853
8 2.3 0.990268427732336
8 2.4 0.990268448537865
8 2.5 0.990268485035957
8 2.6 0.990268548034049
8 2.7 0.990268655026229
8 2.8 0.990268833817267
8 2.9 0.990269127792137
8 3 0.990269603397978
8 3.1 0.990270360507083
8 3.2 0.990271546401277
8 3.3 0.990273374129127
8 3.4 0.990276145899335
8 3.5 0.990280281942673
8 3.6 0.9902863548581
8 3.7 0.990295128822758
8 3.8 0.990307602178249
8 3.9 0.990325050828823
8 4 0.990349068669208
8 4.1 0.990381600023845
8 4.2 0.99042495800355
8 4.3 0.990481821993167
8 4.4 0.990555207418488
8 4.5 0.990648401730221
8 4.6 0.990764862351416
8 4.7 0.990908075213096
8 4.8 0.991081376344526
8 4.9 0.991287743500258
8 5 0.991529569526655
8 5.1 0.991808433485102
8 5.2 0.992124888778851
8 5.3 0.992478289031744
8 5.4 0.992866671746965
8 5.5 0.99328671659885
8 5.6 0.993733789683331
8 5.7 0.994202077638786
8 5.8 0.994684807041932
8 5.9 0.995174535904608
8 6 0.995663496549378
8 6.1 0.996143963636404
8 6.2 0.996608618406319
8 6.3 0.997050880667117
8 6.4 0.997465183615723
8 6.5 0.997847172743843
8 6.6 0.998193817984577
8 6.7 0.998503436859826
8 6.8 0.998775634603724
8 6.9 0.999011174111047
8 7 0.9992117934017
8 7.1 0.999379990753274
8 7.2 0.999518797737604
8 7.3 0.999631558419016
8 7.4 0.999721729468211
8 7.5 0.999792711565513
8 7.6 0.999847717860724
8 7.7 0.999889680984393
8 7.8 0.999921196575405
8 7.9 0.999944498733505
8 8 0.999961461282654
8.1 2 0.992506487040395
8.1 2.1 0.992506489183932
8.1 2.2 0.992506493155689
8.1 2.3 0.9925065003966
8.1 2.4 0.992506513385248
8.1 2.5 0.992506536309554
8.1 2.6 0.99250657611949
8.1 2.7 0.992506644141788
8.1 2.8 0.992506758502593
8.1 2.9 0.992506947680663
8.1 3 0.992507255597697
8.1 3.1 0.992507748734802
8.1 3.2 0.992508525830404
8.1 3.3 0.992509730743818
8.1 3.4 0.992511569032546
8.1 3.5 0.992514328657373
8.1 3.6 0.992518404963573
8.1 3.7 0.992524329659456
8.1 3.8 0.992532802908525
8.1 3.9 0.992544726874869
8.1 4 0.992561238151661
8.1 4.1 0.992583735539165
8.1 4.2 0.992613898744041
8.1 4.3 0.992653692907422
8.1 4.4 0.992705353620669
8.1 4.5 0.99277134743946
8.1 4.6 0.992854304008191
8.1 4.7 0.992956917833162
8.1 4.8 0.993081820459742
8.1 4.9 0.99323142714433
8.1 5 0.993407765752246
8.1 5.1 0.993612299119769
8.1 5.2 0.993845754978196
8.1 5.3 0.994107979232263
8.1 5.4 0.994397828480728
8.1 5.5 0.994713115901653
8.1 5.6 0.995050620979711
8.1 5.7 0.995406168287537
8.1 5.8 0.995774774176468
8.1 5.9 0.996150853522288
8.1 6 0.996528472454376
8.1 6.1 0.996901628095329
8.1 6.2 0.997264533421697
8.1 6.3 0.997611884827977
8.1 6.4 0.997939091905225
8.1 6.5 0.998242453057349
8.1 6.6 0.998519266300421
8.1 6.7 0.998767871150712
8.1 6.8 0.998987624059698
8.1 6.9 0.999178815611261
8.1 7 0.99934254204209
8.1 7.1 0.999480546212823
8.1 7.2 0.999595043853004
8.1 7.3 0.999688549892785
8.1 7.4 0.999763717342635
8.1 7.5 0.999823197971466
8.1 7.6 0.999869530475925
8.1 7.7 0.999905058394441
8.1 7.8 0.99993187706012
8.1 7.9 0.999951806634693
8.1 8 0.999966386811895
8.2 2 0.994278092536252
8.2 2.1 0.994278093835505
8.2 2.2 0.994278096257642
8.2 2.3 0.994278100700476
8.2 2.4 0.994278108718718
8.2 2.5 0.994278122956988
8.2 2.6 0.994278147833852
8.2 2.7 0.994278190599581
8.2 2.8 0.994278262936394
8.2 2.9 0.994278383325632
8.2 3 0.994278580469059
8.2 3.1 0.994278898116158
8.2 3.2 0.994279401706158
8.2 3.3 0.994280187268456
8.2 3.4 0.994281393018432
8.2 3.5 0.994283214013689
8.2 3.6 0.994285920072157
8.2 3.7 0.994289876873931
8.2 3.8 0.994295569755914
8.2 3.9 0.994303629159746
8.2 4 0.994314856028735
8.2 4.1 0.994330244717501
8.2 4.2 0.994351000260616
8.2 4.3 0.99437854625739
8.2 4.4 0.994414519306385
8.2 4.5 0.994460746009629
8.2 4.6 0.99451919919052
8.2 4.7 0.994591931213116
8.2 4.8 0.994680984160837
8.2 4.9 0.994788279037882
8.2 5 0.994915488895273
8.2 5.1 0.995063903550968
8.2 5.2 0.995234295991559
8.2 5.3 0.995426802208072
8.2 5.4 0.995640826766457
8.2 5.5 0.995874985588464
8.2 5.6 0.996127095134002
8.2 5.7 0.996394213552405
8.2 5.8 0.996672734741547
8.2 5.9 0.996958531136356
8.2 6 0.997247136071456
8.2 6.1 0.997533952376286
8.2 6.2 0.997814471031959
8.2 6.3 0.998084482637953
8.2 6.4 0.998340265252211
8.2 6.5 0.998578734762185
8.2 6.6 0.998797547952676
8.2 6.7 0.998995153310952
8.2 6.8 0.999170789709622
8.2 6.9 0.999324437801626
8.2 7 0.999456732721312
8.2 7.1 0.999568849156452
8.2 7.2 0.999662370892207
8.2 7.3 0.999739156590152
8.2 7.4 0.999801212085602
8.2 7.5 0.999850577210426
8.2 7.6 0.999889232469243
8.2 7.7 0.999919028190109
8.2 7.8 0.999941636345995
8.2 7.9 0.999958523312532
8.2 8 0.999970940496659
8.3 2 0.995667552467056
8.3 2.1 0.995667553245746
8.3 2.2 0.995667554706333
8.3 2.3 0.995667557401861
8.3 2.4 0.995667562296445
8.3 2.5 0.995667571041132
8.3 2.6 0.995667586413141
8.3 2.7 0.995667613000563
8.3 2.8 0.995667658246797
8.3 2.9 0.995667734008669
8.3 3 0.99566785882818
8.3 3.1 0.99566806116704
8.3 3.2 0.99566838389956
8.3 3.3 0.995668890393652
8.3 3.4 0.995669672518227
8.3 3.5 0.995670860881153
8.3 3.6 0.99567263750566
8.3 3.7 0.995675250975119
8.3 3.8 0.995679033800826
8.3 3.9 0.995684421388043
8.3 4 0.995691971500121
8.3 4.1 0.995702382577561
8.3 4.2 0.9957165087112
8.3 4.3 0.995735368574255
8.3 4.4 0.995760145285659
8.3 4.5 0.99579217411643
8.3 4.6 0.995832915265924
8.3 4.7 0.995883909703386
8.3 4.8 0.995946717320853
8.3 4.9 0.996022838335434
8.3 5 0.996113620889844
8.3 5.1 0.996220159925209
8.3 5.2 0.996343194368943
8.3 5.3 0.996483011187949
8.3 5.4 0.99663936560974
8.3 5.5 0.996811426581077
8.3 5.6 0.996997755198048
8.3 5.7 0.997196321435778
8.3 5.8 0.997404561226592
8.3 5.9 0.997619472129385
8.3 6 0.997837741954947
8.3 6.1 0.998055901259617
8.3 6.2 0.998270488055716
8.3 6.3 0.998478211764283
8.3 6.4 0.998676103537136
8.3 6.5 0.998861641584357
8.3 6.6 0.999032842846428
8.3 6.7 0.999188315873559
8.3 6.8 0.999327273647381
8.3 6.9 0.999449508810035
8.3 7 0.99955533691574
8.3 7.1 0.999645515568476
8.3 7.2 0.99972114848756
8.3 7.3 0.999783583642704
8.3 7.4 0.999834313755978
8.3 7.5 0.999874885918254
8.3 7.6 0.999906825104256
8.3 7.7 0.999931574289074
8.3 7.8 0.999950451926695
8.3 7.9 0.999964625937149
8.3 8 0.999975102172141
8.4 2 0.99674727660582
8.4 2.1 0.996747277067282
8.4 2.2 0.996747277938167
8.4 2.3 0.996747279555266
8.4 2.4 0.99674728250964
8.4 2.5 0.996747287820305
8.4 2.6 0.996747297212946
8.4 2.7 0.996747313557887
8.4 2.8 0.996747341543648
8.4 2.9 0.996747388690241
8.4 3 0.996747466839411
8.4 3.1 0.996747594295536
8.4 3.2 0.99674779882733
8.4 3.3 0.996748121770601
8.4 3.4 0.996748623487261
8.4 3.5 0.996749390423574
8.4 3.6 0.996750543957182
8.4 3.7 0.996752251112772
8.4 3.8 0.996754737047061
8.4 3.9 0.99675829894701
8.4 4 0.996763320652329
8.4 4.1 0.996770286919644
8.4 4.2 0.996779795824106
8.4 4.3 0.996792567396544
8.4 4.4 0.996809446289909
8.4 4.5 0.996831396138377
8.4 4.6 0.996859483397838
8.4 4.7 0.996894848905254
8.4 4.8 0.9969386662037
8.4 4.9 0.996992086839757
8.4 5 0.997056174281027
8.4 5.1 0.997131829691861
8.4 5.2 0.997219714356844
8.4 5.3 0.99732017483042
8.4 5.4 0.997433177688236
8.4 5.5 0.997558260865891
8.4 5.6 0.997694507870309
8.4 5.7 0.997840549619181
8.4 5.8 0.997994596407982
8.4 5.9 0.998154499744771
8.4 6 0.998317840848557
8.4 6.1 0.998482039847397
8.4 6.2 0.998644477502713
8.4 6.3 0.998802619928685
8.4 6.4 0.998954136458213
8.4 6.5 0.999097001572909
8.4 6.6 0.999229573554481
8.4 6.7 0.999350644985698
8.4 6.8 0.999459463095914
8.4 6.9 0.999555720836609
8.4 7 0.999639522136046
8.4 7.1 0.999711326740711
8.4 7.2 0.999771881234294
8.4 7.3 0.999822143183528
8.4 7.4 0.999863204960117
8.4 7.5 0.999896222784891
8.4 7.6 0.999922355144817
8.4 7.7 0.999942713171614
8.4 7.8 0.999958324050043
8.4 7.9 0.999970107206907
8.4 8 0.999978862022707
8.5 2 0.997578594964332
8.5 2.1 0.997578595234729
8.5 2.2 0.997578595748171
8.5 2.3 0.997578596707418
8.5 2.4 0.997578598470696
8.5 2.5 0.997578601659758
8.5 2.6 0.997578607334665
8.5 2.7 0.997578617270601
8.5 2.8 0.997578634387087
8.5 2.9 0.997578663399074
8.5 3 0.997578711782727
8.5 3.1 0.997578791175234
8.5 3.2 0.99757891935559
8.5 3.3 0.99757912297818
8.5 3.4 0.997579441247271
8.5 3.5 0.997579930720025
8.5 3.6 0.997580671398488
8.5 3.7 0.997581774205906
8.5 3.8 0.997583389829148
8.5 3.9 0.997585718739093
8.5 4 0.997589021972658
8.5 4.1 0.997593631980961
8.5 4.2 0.997599962537382
8.5 4.3 0.997608516390505
8.5 4.4 0.997619889087442
8.5 4.5 0.997634767240709
8.5 4.6 0.997653919528508
8.5 4.7 0.997678178959916
8.5 4.8 0.997708415440546
8.5 4.9 0.997745498447645
8.5 5 0.997790250631393
8.5 5.1 0.997843394319941
8.5 5.2 0.997905494092927
8.5 5.3 0.997976899642373
8.5 5.4 0.998057693888034
8.5 5.5 0.998147651597891
8.5 5.6 0.998246213468425
8.5 5.7 0.998352479698746
8.5 5.8 0.998465225590835
8.5 5.9 0.998582939760114
8.5 6 0.998703883361327
8.5 6.1 0.998826166591047
8.5 6.2 0.998947836899474
8.5 6.3 0.999066972078225
8.5 6.4 0.999181770862773
8.5 6.5 0.999290633971203
8.5 6.6 0.999392229553933
8.5 6.7 0.999485538703666
8.5 6.8 0.999569878741268
8.5 6.9 0.999644904178034
8.5 7 0.999710587285302
8.5 7.1 0.99976718184722
8.5 7.2 0.999815174773238
8.5 7.3 0.999855230734065
8.5 7.4 0.999888134878317
8.5 7.5 0.999914738082018
8.5 7.6 0.999935908225502
8.5 7.7 0.999952489850341
8.5 7.8 0.999965273385529
8.5 7.9 0.999974974082425
8.5 8 0.99998221995608
8.6 2 0.998212770829723
8.6 2.1 0.998212770986381
8.6 2.2 0.998212771285685
8.6 2.3 0.998212771848309
8.6 2.4 0.998212772888886
8.6 2.5 0.998212774782446
8.6 2.6 0.998212778172727
8.6 2.7 0.998212784145066
8.6 2.8 0.998212794496647
8.6 2.9 0.998212812149855
8.6 3 0.998212841770637
8.6 3.1 0.998212890672637
8.6 3.2 0.998212970108257
8.6 3.3 0.998213097067369
8.6 3.4 0.998213296719423
8.6 3.5 0.998213605639736
8.6 3.6 0.998214075948877
8.6 3.7 0.998214780457289
8.6 3.8 0.998215818837366
8.6 3.9 0.998217324735342
8.6 4 0.998219473582294
8.6 4.1 0.998222490669744
8.6 4.2 0.99822665883178
8.6 4.3 0.998232324843037
8.6 4.4 0.998239903431772
8.6 4.5 0.99824987766001
8.6 4.6 0.998262794383797
8.6 4.7 0.998279253619917
8.6 4.8 0.998299890945026
8.6 4.9 0.998325352553403
8.6 5 0.998356263286759
8.6 5.1 0.998393188776215
8.6 5.2 0.998436593720706
8.6 5.3 0.998486799157109
8.6 5.4 0.998543942228734
8.6 5.5 0.998607942306732
8.6 5.6 0.998678477263749
8.6 5.7 0.998754973186669
8.6 5.8 0.998836609852676
8.6 5.9 0.998922342955749
8.6 6 0.999010942498466
8.6 6.1 0.999101045143273
8.6 6.2 0.999191216855574
8.6 6.3 0.999280021063807
8.6 6.4 0.999366086961678
8.6 6.5 0.999448172568341
8.6 6.6 0.99952521774409
8.6 6.7 0.999596383449386
8.6 6.8 0.999661074982623
8.6 6.9 0.999718948542256
8.6 7 0.9997699020258
8.6 7.1 0.999814052316073
8.6 7.2 0.999851702274964
8.6 7.3 0.999883301190913
8.6 7.4 0.999909402499937
8.6 7.5 0.999930622273377
8.6 7.6 0.999947601335901
8.6 7.7 0.999960973065754
8.6 7.8 0.999971338060188
8.6 7.9 0.999979246031558
8.6 8 0.999985184615037
8.7 2 0.998692106587452
8.7 2.1 0.998692106677192
8.7 2.2 0.998692106849703
8.7 2.3 0.998692107175986
8.7 2.4 0.998692107783167
8.7 2.5 0.998692108894873
8.7 2.6 0.998692110897552
8.7 2.7 0.998692114447179
8.7 2.8 0.99869212063739
8.7 2.9 0.998692131258764
8.7 3 0.998692149189975
8.7 3.1 0.99869217897469
8.7 3.2 0.998692227652769
8.7 3.3 0.998692305929172
8.7 3.4 0.998692429776621
8.7 3.5 0.99869262257502
8.7 3.6 0.998692917887186
8.7 3.7 0.998693362950989
8.7 3.8 0.998694022926363
8.7 3.9 0.998694985866424
8.7 4 0.998696368281445
8.7 4.1 0.99869832103279
8.7 4.2 0.998701035136636
8.7 4.3 0.998704746886858
8.7 4.4 0.998709741543135
8.7 4.5 0.998716354701468
8.7 4.6 0.998724970402494
8.7 4.7 0.998736015071407
8.7 4.8 0.998749946550563
8.7 4.9 0.998767237798496
8.7 5 0.998788355285414
8.7 5.1 0.998813732689739
8.7 5.2 0.998843741141904
8.7 5.3 0.998878657896058
8.7 5.4 0.998918635847672
8.7 5.5 0.998963676661832
8.7 5.6 0.999013610351653
8.7 5.7 0.999068083895207
8.7 5.8 0.999126560890196
8.7 5.9 0.999188333355438
8.7 6 0.999252545683161
8.7 6.1 0.999318229552413
8.7 6.2 0.999384347480899
8.7 6.3 0.999449841769941
8.7 6.4 0.999513685011149
8.7 6.5 0.999574928155324
8.7 6.6 0.999632742417184
8.7 6.7 0.999686451964664
8.7 6.8 0.999735555324208
8.7 6.9 0.999779734589702
8.7 7 0.999818852701482
8.7 7.1 0.99985294011876
8.7 7.2 0.99988217302757
8.7 7.3 0.999906845733429
8.7 7.4 0.99992734005948
8.7 7.5 0.99994409443015
8.7 7.6 0.999957574928391
8.7 7.7 0.999968250055976
8.7 7.8 0.999976570293213
8.7 7.9 0.999982952932503
8.7 8 0.999987772117106
8.8 2 0.999051076231919
8.8 2.1 0.999051076282746
8.8 2.2 0.999051076381056
8.8 2.3 0.999051076568146
8.8 2.4 0.999051076918452
8.8 2.5 0.999051077563792
8.8 2.6 0.999051078733503
8.8 2.7 0.999051080819513
8.8 2.8 0.999051084479702
8.8 2.9 0.999051090798595
8.8 3 0.999051101531817
8.8 3.1 0.999051119469728
8.8 3.2 0.999051148966027
8.8 3.3 0.999051196687988
8.8 3.4 0.999051272655065
8.8 3.5 0.999051391639516
8.8 3.6 0.99905157500349
8.8 3.7 0.999051853037673
8.8 3.8 0.999052267842855
8.8 3.9 0.999052876753289
8.8 4 0.999053756236248
8.8 4.1 0.999055006114666
8.8 4.2 0.999056753851502
8.8 4.3 0.999059158512705
8.8 4.4 0.999062413902879
8.8 4.5 0.999066750262166
8.8 4.6 0.999072433847015
8.8 4.7 0.999079763715753
8.8 4.8 0.999089065124933
8.8 4.9 0.999100679130043
8.8 5 0.999114948278647
8.8 5.1 0.999132198673455
8.8 5.2 0.999152719136944
8.8 5.3 0.999176738679657
8.8 5.4 0.999204403899156
8.8 5.5 0.999235758247427
8.8 5.6 0.999270725237534
8.8 5.7 0.999309097567533
8.8 5.8 0.999350533800331
8.8 5.9 0.999394563665515
8.8 6 0.999440602293305
8.8 6.1 0.999487972834026
8.8 6.2 0.999535936063063
8.8 6.3 0.999583724832175
8.8 6.4 0.999630580703265
8.8 6.5 0.99967578986302
8.8 6.6 0.999718715499312
8.8 6.7 0.999758824210899
8.8 6.8 0.999795704665523
8.8 6.9 0.99982907752936
8.8 7 0.99985879655532
8.8 7.1 0.999884841530185
8.8 7.2 0.99990730444727
8.8 7.3 0.999926370726457
8.8 7.4 0.99994229751647
8.8 7.5 0.999955391090166
8.8 7.6 0.999965985117887
8.8 7.7 0.999974421233443
8.8 7.8 0.99998103285833
8.8 7.9 0.999986132787664
8.8 8 0.999990004620661
8.9 2 0.99931743279435
8.9 2.1 0.999317432822812
8.9 2.2 0.999317432878205
8.9 2.3 0.999317432984272
8.9 2.4 0.999317433184099
8.9 2.5 0.999317433554498
8.9 2.6 0.999317434230006
8.9 2.7 0.999317435442106
8.9 2.8 0.999317437582008
8.9 2.9 0.999317441299048
8.9 3 0.999317447651633
8.9 3.1 0.999317458333672
8.9 3.2 0.999317476006646
8.9 3.3 0.999317504775197
8.9 3.4 0.999317550851796
8.9 3.5 0.999317623462086
8.9 3.6 0.999317736045004
8.9 3.7 0.999317907798157
8.9 3.8 0.999318165606024
8.9 3.9 0.999318546363311
8.9 4 0.999319099665411
8.9 4.1 0.999319890780961
8.9 4.2 0.999321003748622
8.9 4.3 0.999322544355227
8.9 4.4 0.99932464266287
8.9 4.5 0.999327454670083
8.9 4.6 0.999331162632089
8.9 4.7 0.999335973544722
8.9 4.8 0.999342115333044
8.9 4.9 0.99934983039269
8.9 5 0.999359366316086
8.9 5.1 0.999370963892935
8.9 5.2 0.99938484278791
8.9 5.3 0.999401185638142
8.9 5.4 0.999420121637183
8.9 5.5 0.999441710932248
8.9 5.6 0.999465931309535
8.9 5.7 0.99949266863843
8.9 5.8 0.999521712366457
8.9 5.9 0.999552757002978
8.9 6 0.999585410027451
8.9 6.1 0.999619206058789
8.9 6.2 0.999653626496808
8.9 6.3 0.999688123274415
8.9 6.4 0.999722144916725
8.9 6.5 0.999755162851624
8.9 6.6 0.999786695890553
8.9 6.7 0.999816331001793
8.9 6.8 0.999843738902458
8.9 6.9 0.999868683543312
8.9 7 0.999891025178571
8.9 7.1 0.9999107173212
8.9 7.2 0.999927798410171
8.9 7.3 0.99994237940387
8.9 7.4 0.999954628731938
8.9 7.5 0.999964756080508
8.9 7.6 0.999972996371665
8.9 7.7 0.999979595063082
8.9 7.8 0.999984795584706
8.9 7.9 0.999988829394295
8.9 8 0.999991908815401
9 2 0.999513252709019
9 2.1 0.999513252724778
9 2.2 0.999513252755636
9 2.3 0.99951325281509
9 2.4 0.999513252927792
9 2.5 0.999513253137989
9 2.6 0.999513253523699
9 2.7 0.999513254220074
9 2.8 0.999513255457073
9 2.9 0.999513257619009
9 3 0.999513261336617
9 3.1 0.999513267626363
9 3.2 0.999513278096498
9 3.3 0.999513295244843
9 3.4 0.999513322878866
9 3.5 0.99951336669349
9 3.6 0.999513435045037
9 3.7 0.999513539958963
9 3.8 0.999513698402572
9 3.9 0.999513933839408
9 4 0.999514278057392
9 4.1 0.9995147732265
9 4.2 0.999515474093812
9 4.3 0.999516450165734
9 4.4 0.999517787663634
9 4.5 0.999519590977168
9 4.6 0.999521983289286
9 4.7 0.999525106020279
9 4.8 0.99952911674789
9 4.9 0.999534185317362
9 5 0.999540487966334
9 5.1 0.99954819945484
9 5.2 0.999557483401866
9 5.3 0.999568481268826
9 5.4 0.999581300669916
9 5.5 0.999596003896265
9 5.6 0.999612597679955
9 5.7 0.999631025263916
9 5.8 0.999651161762877
9 5.9 0.999672813592615
9 6 0.999695722421392
9 6.1 0.99971957368949
9 6.2 0.999744009295981
9 6.3 0.999768643622149
9 6.4 0.999793081704656
9 6.5 0.999816938137581
9 6.6 0.999839855203213
9 6.7 0.999861518818117
9 6.8 0.99988167112102
9 6.9 0.999900118888762
9 7 0.999916737396672
9 7.1 0.999931469783765
9 7.2 0.999944322386062
9 7.3 0.999955356818276
9 7.4 0.999964679785682
9 7.5 0.999972431683487
9 7.6 0.999978774997755
9 7.7 0.999983883381742
9 7.8 0.999987932075688
9 7.9 0.99999109010136
9 8 0.999993514427548
9.1 2 0.999655891645369
9.1 2.1 0.999655891653995
9.1 2.2 0.999655891670991
9.1 2.3 0.999655891703941
9.1 2.4 0.999655891766787
9.1 2.5 0.999655891884724
9.1 2.6 0.999655892102477
9.1 2.7 0.999655892498047
9.1 2.8 0.999655893205055
9.1 2.9 0.99965589444834
9.1 3 0.999655896599452
9.1 3.1 0.999655900261312
9.1 3.2 0.999655906394528
9.1 3.3 0.999655916501562
9.1 3.4 0.99965593288892
9.1 3.5 0.999655959031305
9.1 3.6 0.999656000064332
9.1 3.7 0.999656063433093
9.1 3.8 0.999656159720913
9.1 3.9 0.999656303674745
9.1 4 0.999656515428985
9.1 4.1 0.999656821907
9.1 4.2 0.999657258348678
9.1 4.3 0.99965786987363
9.1 4.4 0.999658712945624
9.1 4.5 0.999659856558775
9.1 4.6 0.999661382926401
9.1 4.7 0.999663387427303
9.1 4.8 0.999665977560499
9.1 4.9 0.999669270686525
9.1 5 0.999673390397507
9.1 5.1 0.999678461461391
9.1 5.2 0.999684603424396
9.1 5.3 0.99969192311968
9.1 5.4 0.999700506502269
9.1 5.5 0.999710410388462
9.1 5.6 0.999721654797085
9.1 5.7 0.999734216646537
9.1 5.8 0.999748025537115
9.1 5.9 0.999762962233799
9.1 6 0.999778860263966
9.1 6.1 0.999795510774274
9.1 6.2 0.99981267048019
9.1 6.3 0.999830072227938
9.1 6.4 0.999847437412538
9.1 6.5 0.999864489294519
9.1 6.6 0.999880966159583
9.1 6.7 0.999896633283885
9.1 6.8 0.999911292799732
9.1 6.9 0.999924790783926
9.1 7 0.999937021181985
9.1 7.1 0.999947926497271
9.1 7.2 0.999957495474477
9.1 7.3 0.999965758256912
9.1 7.4 0.999972779671372
9.1 7.5 0.99997865138058
9.1 7.6 0.999983483641897
9.1 7.7 0.999987397334385
9.1 7.8 0.999990516784512
9.1 7.9 0.999992963758117
9.1 8 0.999994852816733
9.2 2 0.999758837083176
9.2 2.1 0.999758837087844
9.2 2.2 0.9997588370971
9.2 2.3 0.999758837115153
9.2 2.4 0.999758837149802
9.2 2.5 0.999758837215226
9.2 2.6 0.999758837336771
9.2 2.7 0.999758837558934
9.2 2.8 0.999758837958467
9.2 2.9 0.999758838665395
9.2 3 0.999758839896066
9.2 3.1 0.999758842003983
9.2 3.2 0.999758845556294
9.2 3.3 0.999758851446296
9.2 3.4 0.999758861055066
9.2 3.5 0.999758876478077
9.2 3.6 0.999758900834895
9.2 3.7 0.99975893868117
9.2 3.8 0.999758996541115
9.2 3.9 0.999759083574604
9.2 4 0.999759212384569
9.2 4.1 0.999759399956769
9.2 4.2 0.999759668704439
9.2 4.3 0.999760047565078
9.2 4.4 0.999760573066838
9.2 4.5 0.999761290250141
9.2 4.6 0.999762253300324
9.2 4.7 0.999763525724496
9.2 4.8 0.999765179896565
9.2 4.9 0.999767295804764
9.2 5 0.999769958870949
9.2 5.1 0.999773256773254
9.2 5.2 0.999777275292404
9.2 5.3 0.999782093311601
9.2 5.4 0.99978777722032
9.2 5.5 0.999794375088991
9.2 5.6 0.999801911077442
9.2 5.7 0.999810380597783
9.2 5.8 0.99981974675747
9.2 5.9 0.999829938551573
9.2 6 0.999840851153928
9.2 6.1 0.999852348483146
9.2 6.2 0.999864268008908
9.2 6.3 0.999876427541116
9.2 6.4 0.999888633537511
9.2 6.5 0.999900690301964
9.2 6.6 0.999912409348287
9.2 6.7 0.999923618186681
9.2 6.8 0.999934167854337
9.2 6.9 0.999943938648944
9.2 7 0.99995284371489
9.2 7.1 0.99996083035069
9.2 7.2 0.99996787912434
9.2 7.3 0.999974001074382
9.2 7.4 0.999979233417968
9.2 7.5 0.999983634270854
9.2 7.6 0.999987276905251
9.2 7.7 0.999990244035584
9.2 7.8 0.999992622541841
9.2 7.9 0.999994498931831
9.2 8 0.99999595572443
9.3 2 0.999832451672931
9.3 2.1 0.999832451675429
9.3 2.2 0.999832451680411
9.3 2.3 0.999832451690192
9.3 2.4 0.999832451709078
9.3 2.5 0.999832451744961
9.3 2.6 0.999832451812037
9.3 2.7 0.999832451935401
9.3 2.8 0.999832452158628
9.3 2.9 0.999832452556049
9.3 3 0.999832453252185
9.3 3.1 0.999832454451911
9.3 3.2 0.999832456486207
9.3 3.3 0.999832459880043
9.3 3.4 0.999832465450796
9.3 3.5 0.999832474447511
9.3 3.6 0.999832488743103
9.3 3.7 0.999832511092691
9.3 3.8 0.999832545471206
9.3 3.9 0.999832597501474
9.3 4 0.999832674979316
9.3 4.1 0.999832788494161
9.3 4.2 0.999832952131611
9.3 4.3 0.999833184228274
9.3 4.4 0.999833508129454
9.3 4.5 0.999833952878399
9.3 4.6 0.999834553744162
9.3 4.7 0.999835352476985
9.3 4.8 0.999836397169775
9.3 4.9 0.999837741605839
9.3 5 0.999839443990685
9.3 5.1 0.999841565001886
9.3 5.2 0.999844165146174
9.3 5.3 0.999847301484465
9.3 5.4 0.999851023867561
9.3 5.5 0.999855370908762
9.3 5.6 0.999860365993202
9.3 5.7 0.999866013675113
9.3 5.8 0.999872296832393
9.3 5.9 0.999879174924719
9.3 6 0.999886583634231
9.3 6.1 0.999894436059814
9.3 6.2 0.999902625497161
9.3 6.3 0.999911029682629
9.3 6.4 0.999919516228373
9.3 6.5 0.999927948849199
9.3 6.6 0.999936193895294
9.3 6.7 0.999944126671589
9.3 6.8 0.999951637048491
9.3 6.9 0.999958633946855
9.3 7 0.999965048401155
9.3 7.1 0.999970835052291
9.3 7.2 0.999975972075811
9.3 7.3 0.999980459693281
9.3 7.4 0.999984317527906
9.3 7.5 0.999987581139699
9.3 7.6 0.99999029810591
9.3 7.7 0.999992524001179
9.3 7.8 0.999994318586036
9.3 7.9 0.999995742442619
9.3 8 0.999996854214868
9.4 2 0.999884608175893
9.4 2.1 0.999884608177214
9.4 2.2 0.999884608179867
9.4 2.3 0.999884608185105
9.4 2.4 0.999884608195283
9.4 2.5 0.99988460821474
9.4 2.6 0.999884608251338
9.4 2.7 0.999884608319065
9.4 2.8 0.999884608442377
9.4 2.9 0.999884608663274
9.4 3 0.999884609052602
9.4 3.1 0.999884609727723
9.4 3.2 0.99988461087956
9.4 3.3 0.999884612813058
9.4 3.4 0.999884616006366
9.4 3.5 0.999884621195358
9.4 3.6 0.999884629491412
9.4 3.7 0.999884642541317
9.4 3.8 0.999884662738528
9.4 3.9 0.999884693494172
9.4 4 0.999884739573765
9.4 4.1 0.999884807501013
9.4 4.2 0.999884906022756
9.4 4.3 0.999885046619106
9.4 4.4 0.999885244029997
9.4 4.5 0.999885516754734
9.4 4.6 0.999885887465849
9.4 4.7 0.999886383264876
9.4 4.8 0.999887035698138
9.4 4.9 0.999887880448317
9.4 5 0.999888956625363
9.4 5.1 0.99989030560034
9.4 5.2 0.999891969359089
9.4 5.3 0.999893988398046
9.4 5.4 0.999896399239134
9.4 5.5 0.999899231698662
9.4 5.6 0.999902506099504
9.4 5.7 0.999906230657928
9.4 5.8 0.999910399298315
9.4 5.9 0.99991499014409
9.4 6 0.999919964898059
9.4 6.1 0.999925269260769
9.4 6.2 0.99993083444647
9.4 6.3 0.99993657975243
9.4 6.4 0.999942416030884
9.4 6.5 0.999948249817722
9.4 6.6 0.99995398780086
9.4 6.7 0.999959541273984
9.4 6.8 0.999964830223264
9.4 6.9 0.999969786735365
9.4 7 0.999974357488826
9.4 7.1 0.999978505187514
9.4 7.2 0.999982208901175
9.4 7.3 0.999985463380711
9.4 7.4 0.999988277502417
9.4 7.5 0.999990672057155
9.4 7.6 0.999992677132621
9.4 7.7 0.99999432933928
9.4 7.8 0.999995669106885
9.4 7.9 0.999996738235486
9.4 8 0.999997577830509
9.5 2 0.999921221639085
9.5 2.1 0.999921221639776
9.5 2.2 0.999921221641172
9.5 2.3 0.999921221643945
9.5 2.4 0.999921221649368
9.5 2.5 0.999921221659799
9.5 2.6 0.999921221679542
9.5 2.7 0.999921221716303
9.5 2.8 0.99992122178365
9.5 2.9 0.999921221905042
9.5 3 0.999921222120319
9.5 3.1 0.999921222495937
9.5 3.2 0.999921223140754
9.5 3.3 0.999921224229855
9.5 3.4 0.999921226039704
9.5 3.5 0.999921228998807
9.5 3.6 0.999921233758975
9.5 3.7 0.999921241293051
9.5 3.8 0.999921253025376
9.5 3.9 0.999921271001068
9.5 4 0.999921298098964
9.5 4.1 0.999921338290544
9.5 4.2 0.999921396942863
9.5 4.3 0.999921481157392
9.5 4.4 0.99992160012857
9.5 4.5 0.999921765496229
9.5 4.6 0.999921991655662
9.5 4.7 0.9999222959791
9.5 4.8 0.999922698894594
9.5 4.9 0.999923223764585
9.5 5 0.999923896509006
9.5 5.1 0.999924744928182
9.5 5.2 0.999925797700172
9.5 5.3 0.999927083055352
9.5 5.4 0.999928627166386
9.5 5.5 0.999930452331048
9.5 5.6 0.999932575064121
9.5 5.7 0.999935004247174
9.5 5.8 0.999937739505746
9.5 5.9 0.99994076998731
9.5 6 0.999944073697199
9.5 6.1 0.999947617512721
9.5 6.2 0.99995135794044
9.5 6.3 0.999955242613421
9.5 6.4 0.999959212452032
9.5 6.5 0.999963204342807
9.5 6.6 0.999967154134207
9.5 6.7 0.999970999713426
9.5 6.8 0.999974683919545
9.5 6.9 0.999978157066677
9.5 7 0.999981378893467
9.5 7.1 0.999984319816604
9.5 7.2 0.99998696143738
9.5 7.3 0.999989296322489
9.5 7.4 0.999991327144435
9.5 7.5 0.999993065315926
9.5 7.6 0.999994529282329
9.5 7.7 0.999995742645201
9.5 7.8 0.999996732279906
9.5 7.9 0.999997526585109
9.5 8 0.999998153966976
9.6 2 0.999946687650575
9.6 2.1 0.999946687650932
9.6 2.2 0.999946687651658
9.6 2.3 0.99994668765311
9.6 2.4 0.999946687655967
9.6 2.5 0.999946687661496
9.6 2.6 0.999946687672024
9.6 2.7 0.999946687691752
9.6 2.8 0.999946687728117
9.6 2.9 0.999946687794071
9.6 3 0.999946687911761
9.6 3.1 0.999946688118381
9.6 3.2 0.999946688475279
9.6 3.3 0.999946689081818
9.6 3.4 0.999946690095992
9.6 3.5 0.999946691764427
9.6 3.6 0.999946694464952
9.6 3.7 0.999946698765572
9.6 3.8 0.999946705504001
9.6 3.9 0.999946715891997
9.6 4 0.999946731648196
9.6 4.1 0.999946755161777
9.6 4.2 0.999946789686858
9.6 4.3 0.99994683956386
9.6 4.4 0.99994691045905
9.6 4.5 0.999947009607316
9.6 4.6 0.999947146036274
9.6 4.7 0.999947330742819
9.6 4.8 0.999947576787239
9.6 4.9 0.999947899266311
9.6 5 0.999948315126777
9.6 5.1 0.999948842785555
9.6 5.2 0.999949501533865
9.6 5.3 0.999950310719387
9.6 5.4 0.999951288722888
9.6 5.5 0.999952451771717
9.6 5.6 0.99995381265941
9.6 5.7 0.999955379464734
9.6 5.8 0.999957154381009
9.6 5.9 0.99995913277373
9.6 6 0.99996130257878
9.6 6.1 0.999963644133638
9.6 6.2 0.999966130500807
9.6 6.3 0.999968728299237
9.6 6.4 0.9999713990104
9.6 6.5 0.999974100677089
9.6 6.6 0.999976789871191
9.6 6.7 0.999979423777386
9.6 6.8 0.999981962226962
9.6 6.9 0.999984369521632
9.6 7 0.999986615910405
9.6 7.1 0.999988678620059
9.6 7.2 0.999990542386351
9.6 7.3 0.999992199482558
9.6 7.4 0.99999364928812
9.6 7.5 0.999994897477601
9.6 7.6 0.99999595493542
9.6 7.7 0.999996836513
9.6 7.8 0.99999755974271
9.6 7.9 0.999998143609307
9.6 8 0.999998607457844
9.7 2 0.999964237315397
9.7 2.1 0.99996423731558
9.7 2.2 0.999964237315953
9.7 2.3 0.999964237316705
9.7 2.4 0.999964237318192
9.7 2.5 0.999964237321089
9.7 2.6 0.999964237326641
9.7 2.7 0.999964237337107
9.7 2.8 0.99996423735652
9.7 2.9 0.999964237391948
9.7 3 0.999964237455559
9.7 3.1 0.999964237567929
9.7 3.2 0.999964237763233
9.7 3.3 0.999964238097205
9.7 3.4 0.999964238659088
9.7 3.5 0.999964239589177
9.7 3.6 0.999964241103936
9.7 3.7 0.999964243531132
9.7 3.8 0.999964247357695
9.7 3.9 0.99996425329319
9.7 4 0.999964262351555
9.7 4.1 0.999964275953105
9.7 4.2 0.999964296047445
9.7 4.3 0.999964325255786
9.7 4.4 0.999964367028127
9.7 4.5 0.999964425806916
9.7 4.6 0.999964507184243
9.7 4.7 0.999964618034916
9.7 4.8 0.99996476660334
9.7 4.9 0.999964962519017
9.7 5 0.999965216714352
9.7 5.1 0.999965541220519
9.7 5.2 0.999965948822826
9.7 5.3 0.999966452566918
9.7 5.4 0.999967065120863
9.7 5.5 0.999967798014913
9.7 5.6 0.999968660798763
9.7 5.7 0.999969660173348
9.7 5.8 0.999970799167907
9.7 5.9 0.999972076440744
9.7 6 0.999973485781645
9.7 6.1 0.999975015884114
9.7 6.2 0.999976650436491
9.7 6.3 0.999978368554047
9.7 6.4 0.999980145542157
9.7 6.5 0.999981953947354
9.7 6.6 0.999983764822812
9.7 6.7 0.99998554911154
9.7 6.8 0.999987279037699
9.7 6.9 0.999988929395582
9.7 7 0.999990478637199
9.7 7.1 0.999991909681371
9.7 7.2 0.99999321039675
9.7 7.3 0.999994373744191
9.7 7.4 0.999995397596231
9.7 7.5 0.999996284279109
9.7 7.6 0.999997039902981
9.7 7.7 0.999997673557025
9.7 7.8 0.999998196447849
9.7 7.9 0.999998621053029
9.7 8 0.999998960348704
9.8 2 0.999976220286056
9.8 2.1 0.999976220286148
9.8 2.2 0.999976220286338
9.8 2.3 0.999976220286723
9.8 2.4 0.999976220287489
9.8 2.5 0.999976220288989
9.8 2.6 0.999976220291883
9.8 2.7 0.999976220297373
9.8 2.8 0.999976220307619
9.8 2.9 0.999976220326434
9.8 3 0.999976220360425
9.8 3.1 0.999976220420845
9.8 3.2 0.99997622052651
9.8 3.3 0.999976220708319
9.8 3.4 0.999976221016098
9.8 3.5 0.999976221528724
9.8 3.6 0.999976222368769
9.8 3.7 0.999976223723163
9.8 3.8 0.999976225871632
9.8 3.9 0.999976229224799
9.8 4 0.999976234373816
9.8 4.1 0.999976242153063
9.8 4.2 0.999976253716736
9.8 4.3 0.999976270628929
9.8 4.4 0.999976294965029
9.8 4.5 0.999976329419848
9.8 4.6 0.999976377415063
9.8 4.7 0.999976443195382
9.8 4.8 0.999976531899784
9.8 4.9 0.999976649591712
9.8 5 0.999976803230777
9.8 5.1 0.999977000569046
9.8 5.2 0.999977249957818
9.8 5.3 0.999977560056328
9.8 5.4 0.99997793944205
9.8 5.5 0.999978396132739
9.8 5.6 0.999978937042236
9.8 5.7 0.999979567403866
9.8 5.8 0.99998029020551
9.8 5.9 0.999981105687221
9.8 6 0.9999820109541
9.8 6.1 0.999982999753011
9.8 6.2 0.99998406245123
9.8 6.3 0.999985186238963
9.8 6.4 0.999986355557346
9.8 6.5 0.99998755273134
9.8 6.6 0.999988758765728
9.8 6.7 0.999989954244876
9.8 6.8 0.999991120265573
9.8 6.9 0.999992239328646
9.8 7 0.999993296119645
9.8 7.1 0.999994278121123
9.8 7.2 0.999995176017063
9.8 7.3 0.999995983871514
9.8 7.4 0.999996699085485
9.8 7.5 0.999997322155997
9.8 7.6 0.999997856276727
9.8 7.7 0.999998306829299
9.8 7.8 0.999998680817757
9.8 7.9 0.999998986296218
9.8 8 0.999999231832543
9.9 2 0.999984327057674
9.9 2.1 0.99998432705772
9.9 2.2 0.999984327057816
9.9 2.3 0.99998432705801
9.9 2.4 0.9999843270584
9.9 2.5 0.999984327059169
9.9 2.6 0.99998432706066
9.9 2.7 0.999984327063507
9.9 2.8 0.999984327068853
9.9 2.9 0.999984327078731
9.9 3 0.999984327096689
9.9 3.1 0.999984327128808
9.9 3.2 0.999984327185327
9.9 3.3 0.99998432728318
9.9 3.4 0.99998432744986
9.9 3.5 0.999984327729199
9.9 3.6 0.999984328189796
9.9 3.7 0.999984328937013
9.9 3.8 0.999984330129664
9.9 3.9 0.99998433200259
9.9 4 0.999984334896395
9.9 4.1 0.999984339295459
9.9 4.2 0.999984345874985
9.9 4.3 0.999984355557163
9.9 4.4 0.999984369575505
9.9 4.5 0.999984389544967
9.9 4.6 0.999984417533695
9.9 4.7 0.999984456130206
9.9 4.8 0.999984508497738
9.9 4.9 0.999984578405661
9.9 5 0.999984670226667
9.9 5.1 0.999984788888263
9.9 5.2 0.999984939768374
9.9 5.3 0.999985128527815
9.9 5.4 0.999985360877187
9.9 5.5 0.999985642282137
9.9 5.6 0.999985977618538
9.9 5.7 0.999986370797038
9.9 5.8 0.999986824383754
9.9 5.9 0.999987339249314
9.9 6 0.99998791428103
9.9 6.1 0.999988546191771
9.9 6.2 0.999989229453736
9.9 6.3 0.999989956375984
9.9 6.4 0.999990717332033
9.9 6.5 0.999991501129455
9.9 6.6 0.999992295498904
9.9 6.7 0.999993087667355
9.9 6.8 0.999993864971136
9.9 6.9 0.999994615459969
9.9 7 0.999995328444254
9.9 7.1 0.999995994944131
9.9 7.2 0.999996608009488
9.9 7.3 0.99999716289366
9.9 7.4 0.999997657078141
9.9 7.5 0.999998090159516
9.9 7.6 0.999998463621212
9.9 7.7 0.999998780520586
9.9 7.8 0.999999045125652
9.9 7.9 0.999999262535483
9.9 8 0.999999438314628
10 2 0.99998976105165
10 2.1 0.999989761051673
10 2.2 0.99998976105172
10 2.3 0.999989761051817
10 2.4 0.999989761052014
10 2.5 0.999989761052403
10 2.6 0.999989761053163
10 2.7 0.999989761054622
10 2.8 0.99998976105738
10 2.9 0.999989761062507
10 3 0.999989761071887
10 3.1 0.999989761088767
10 3.2 0.999989761118656
10 3.3 0.999989761170724
10 3.4 0.999989761259968
10 3.5 0.99998976141046
10 3.6 0.999989761660145
10 3.7 0.999989762067717
10 3.8 0.999989762722289
10 3.9 0.999989763756592
10 4 0.999989765364566
10 4.1 0.999989767824088
10 4.2 0.999989771525473
10 4.3 0.999989777005973
10 4.4 0.999989784989957
10 4.5 0.999989796433576
10 4.6 0.999989812571678
10 4.7 0.999989834963413
10 4.8 0.999989865531645
10 4.9 0.999989906589964
10 5 0.999989960850157
10 5.1 0.999990031402579
10 5.2 0.999990121662315
10 5.3 0.999990235275537
10 5.4 0.999990375983137
10 5.5 0.999990547442544
10 5.6 0.999990753013338
10 5.7 0.999990995517464
10 5.8 0.999991276989855
10 5.9 0.999991598439384
10 6 0.999991959642525
10 6.1 0.999992358992285
10 6.2 0.9999927934225
10 6.3 0.999993258422389
10 6.4 0.999993748148775
10 6.5 0.999994255634267
10 6.6 0.999994773080144
10 6.7 0.999995292213765
10 6.8 0.999995804683377
10 6.9 0.999996302459071
10 7 0.999996778207974
10 7.1 0.999997225614629
10 7.2 0.999997639623536
10 7.3 0.999998016589086
10 7.4 0.999998354327593
10 7.5 0.999998652075503
10 7.6 0.999998910366009
10 7.7 0.999999130842453
10 7.8 0.999999316030309
10 7.9 0.999999469090408
10 8 0.999999593574359
cm length_percent girth_percent length_count girth_count
1 0 0 0 0
2 0 0 0 0
3 0 0.3 0 5
4 0.06 0.18 1 3
5 0.18 0.24 3 4
6 0.3 1.32 5 22
7 0.12 1.57 2 26
8 0.24 3.73 4 62
9 1.26 4.03 21 67
10 6.32 5.3 105 88
11 7.28 10.54 121 175
12 9.63 23.78 160 395
13 14.63 23.66 243 393
14 16.32 15.29 271 254
15 14.63 5 243 83
16 11.86 3.13 197 52
17 8.61 1.14 143 19
18 3.31 0.6 55 10
19 3.01 0.18 50 3
20 0.66 0 11 0
21 0 0 0 0
22 1.2 0 20 0
23 0.24 0 4 0
24 0.06 0 1 0
25 0 0 0 0
26 0.06 0 1 0
volume percentile
0 0
0.01 0
0.02 0
0.03 0
0.04 0
0.05 0
0.06 1e-06
0.07 2e-06
0.08 2e-06
0.09 2e-06
0.1 2e-06
0.11 2e-06
0.12 3e-06
0.13 4e-06
0.14 5e-06
0.15 5e-06
0.16 5e-06
0.17 5e-06
0.18 7e-06
0.19 7e-06
0.2 8e-06
0.21 9e-06
0.22 9e-06
0.23 1.2e-05
0.24 1.3e-05
0.25 1.3e-05
0.26 1.4e-05
0.27 1.4e-05
0.28 1.6e-05
0.29 1.7e-05
0.3 1.7e-05
0.31 1.8e-05
0.32 1.9e-05
0.33 2e-05
0.34 2.2e-05
0.35 2.2e-05
0.36 2.2e-05
0.37 2.4e-05
0.38 2.8e-05
0.39 2.8e-05
0.4 2.9e-05
0.41 3.1e-05
0.42 3.4e-05
0.43 3.9e-05
0.44 4.1e-05
0.45 4.2e-05
0.46 5e-05
0.47 5.2e-05
0.48 5.8e-05
0.49 6e-05
0.5 6.5e-05
0.51 6.9e-05
0.52 7e-05
0.53 7.6e-05
0.54 7.9e-05
0.55 8.3e-05
0.56 8.5e-05
0.57 8.8e-05
0.58 9.3e-05
0.59 1e-04
0.6 0.000102
0.61 0.000105
0.62 0.000111
0.63 0.000115
0.64 0.00012
0.65 0.000126
0.66 0.000134
0.67 0.000137
0.68 0.000144
0.69 0.000146
0.7 0.000156
0.71 0.000166
0.72 0.000175
0.73 0.000181
0.74 0.00019
0.75 0.000196
0.76 0.00021
0.77 0.000221
0.78 0.000227
0.79 0.000231
0.8 0.000242
0.81 0.000261
0.82 0.000276
0.83 0.000288
0.84 0.000298
0.85 0.000308
0.86 0.000318
0.87 0.000333
0.88 0.000346
0.89 0.000355
0.9 0.000365
0.91 0.000376
0.92 0.000385
0.93 0.000395
0.94 0.00041
0.95 0.000421
0.96 0.000439
0.97 0.00046
0.98 0.000473
0.99 0.00049
1 0.000516
1.01 0.000531
1.02 0.000551
1.03 0.000574
1.04 0.000596
1.05 0.000615
1.06 0.000635
1.07 0.000652
1.08 0.000673
1.09 0.000687
1.1 0.000703
1.11 0.000728
1.12 0.000748
1.13 0.000777
1.14 8e-04
1.15 0.000819
1.16 0.000843
1.17 0.000859
1.18 0.000894
1.19 0.000918
1.2 0.000941
1.21 0.000966
1.22 0.000989
1.23 0.00101
1.24 0.001034
1.25 0.001068
1.26 0.001099
1.27 0.001126
1.28 0.00115
1.29 0.001183
1.3 0.001208
1.31 0.001248
1.32 0.001279
1.33 0.001306
1.34 0.001338
1.35 0.001365
1.36 0.001398
1.37 0.001427
1.38 0.001458
1.39 0.001491
1.4 0.001528
1.41 0.001554
1.42 0.001595
1.43 0.00163
1.44 0.001672
1.45 0.001712
1.46 0.001746
1.47 0.001792
1.48 0.001827
1.49 0.001878
1.5 0.001906
1.51 0.001957
1.52 0.002006
1.53 0.002058
1.54 0.002115
1.55 0.00216
1.56 0.002195
1.57 0.002249
1.58 0.002291
1.59 0.002337
1.6 0.00239
1.61 0.002447
1.62 0.00251
1.63 0.002556
1.64 0.002604
1.65 0.002658
1.66 0.002712
1.67 0.002762
1.68 0.002807
1.69 0.002857
1.7 0.002913
1.71 0.002981
1.72 0.003033
1.73 0.003082
1.74 0.003138
1.75 0.003192
1.76 0.003257
1.77 0.003318
1.78 0.003389
1.79 0.003469
1.8 0.003545
1.81 0.003621
1.82 0.003706
1.83 0.003775
1.84 0.003835
1.85 0.003918
1.86 0.003992
1.87 0.004087
1.88 0.004167
1.89 0.004246
1.9 0.00433
1.91 0.004418
1.92 0.004502
1.93 0.004582
1.94 0.004673
1.95 0.004756
1.96 0.004825
1.97 0.004917
1.98 0.00501
1.99 0.005102
2 0.005195
2.01 0.005283
2.02 0.005362
2.03 0.005465
2.04 0.005545
2.05 0.005654
2.06 0.005747
2.07 0.005852
2.08 0.005957
2.09 0.006047
2.1 0.006125
2.11 0.006217
2.12 0.006317
2.13 0.006414
2.14 0.006509
2.15 0.006616
2.16 0.006726
2.17 0.006842
2.18 0.00694
2.19 0.007031
2.2 0.007137
2.21 0.007242
2.22 0.007364
2.23 0.007472
2.24 0.007571
2.25 0.00769
2.26 0.007798
2.27 0.007908
2.28 0.008028
2.29 0.008142
2.3 0.008264
2.31 0.008379
2.32 0.008496
2.33 0.008612
2.34 0.008736
2.35 0.008854
2.36 0.008971
2.37 0.009081
2.38 0.009223
2.39 0.009354
2.4 0.009482
2.41 0.009615
2.42 0.009766
2.43 0.0099
2.44 0.010038
2.45 0.010179
2.46 0.010314
2.47 0.010472
2.48 0.010597
2.49 0.010738
2.5 0.010908
2.51 0.011051
2.52 0.011199
2.53 0.011336
2.54 0.011516
2.55 0.011665
2.56 0.011831
2.57 0.011981
2.58 0.012143
2.59 0.012301
2.6 0.012469
2.61 0.01262
2.62 0.012799
2.63 0.012955
2.64 0.013131
2.65 0.013315
2.66 0.013492
2.67 0.013654
2.68 0.013823
2.69 0.013984
2.7 0.014149
2.71 0.014327
2.72 0.014503
2.73 0.014659
2.74 0.014862
2.75 0.015048
2.76 0.015225
2.77 0.015381
2.78 0.015569
2.79 0.01575
2.8 0.015927
2.81 0.016137
2.82 0.016336
2.83 0.016502
2.84 0.01669
2.85 0.016889
2.86 0.017078
2.87 0.017284
2.88 0.017477
2.89 0.017691
2.9 0.017907
2.91 0.018104
2.92 0.0183
2.93 0.018514
2.94 0.018713
2.95 0.018922
2.96 0.019118
2.97 0.019341
2.98 0.019565
2.99 0.019753
3 0.019999
3.01 0.020228
3.02 0.020461
3.03 0.0207
3.04 0.020935
3.05 0.021152
3.06 0.021387
3.07 0.02164
3.08 0.021868
3.09 0.022096
3.1 0.022325
3.11 0.022599
3.12 0.022844
3.13 0.023089
3.14 0.023341
3.15 0.023575
3.16 0.023811
3.17 0.024054
3.18 0.024313
3.19 0.024557
3.2 0.024795
3.21 0.025051
3.22 0.025306
3.23 0.025584
3.24 0.025844
3.25 0.026128
3.26 0.026392
3.27 0.026667
3.28 0.026948
3.29 0.027219
3.3 0.027469
3.31 0.027741
3.32 0.028
3.33 0.028254
3.34 0.028493
3.35 0.028786
3.36 0.029035
3.37 0.02933
3.38 0.029607
3.39 0.029872
3.4 0.030141
3.41 0.030409
3.42 0.030691
3.43 0.030986
3.44 0.031287
3.45 0.031598
3.46 0.031901
3.47 0.032214
3.48 0.032486
3.49 0.032782
3.5 0.033104
3.51 0.033401
3.52 0.033714
3.53 0.034027
3.54 0.034319
3.55 0.034628
3.56 0.03493
3.57 0.035235
3.58 0.035561
3.59 0.035888
3.6 0.0362
3.61 0.036543
3.62 0.036856
3.63 0.037164
3.64 0.03748
3.65 0.037822
3.66 0.038147
3.67 0.038462
3.68 0.038759
3.69 0.039083
3.7 0.039412
3.71 0.039755
3.72 0.040067
3.73 0.040431
3.74 0.040756
3.75 0.04111
3.76 0.04146
3.77 0.041795
3.78 0.042137
3.79 0.04249
3.8 0.042858
3.81 0.043194
3.82 0.043567
3.83 0.043921
3.84 0.044282
3.85 0.044628
3.86 0.044988
3.87 0.045333
3.88 0.045718
3.89 0.046089
3.9 0.046451
3.91 0.046832
3.92 0.047183
3.93 0.047558
3.94 0.047971
3.95 0.04838
3.96 0.048763
3.97 0.049121
3.98 0.049488
3.99 0.049831
4 0.050232
4.01 0.050601
4.02 0.050992
4.03 0.051391
4.04 0.051788
4.05 0.05217
4.06 0.052574
4.07 0.052955
4.08 0.053362
4.09 0.053766
4.1 0.054172
4.11 0.054573
4.12 0.055021
4.13 0.055395
4.14 0.0558
4.15 0.056191
4.16 0.056627
4.17 0.057055
4.18 0.05747
4.19 0.057892
4.2 0.058286
4.21 0.058703
4.22 0.059127
4.23 0.059602
4.24 0.060058
4.25 0.060459
4.26 0.06088
4.27 0.061309
4.28 0.061737
4.29 0.062237
4.3 0.062673
4.31 0.063142
4.32 0.063549
4.33 0.063981
4.34 0.064468
4.35 0.064905
4.36 0.065353
4.37 0.065816
4.38 0.066324
4.39 0.066785
4.4 0.067247
4.41 0.067737
4.42 0.068194
4.43 0.068641
4.44 0.069078
4.45 0.069536
4.46 0.070006
4.47 0.070502
4.48 0.070963
4.49 0.071442
4.5 0.071909
4.51 0.072369
4.52 0.072844
4.53 0.073349
4.54 0.073825
4.55 0.074282
4.56 0.074723
4.57 0.075207
4.58 0.075687
4.59 0.076135
4.6 0.076642
4.61 0.077092
4.62 0.077565
4.63 0.078056
4.64 0.078579
4.65 0.07906
4.66 0.079587
4.67 0.080087
4.68 0.080623
4.69 0.081141
4.7 0.081675
4.71 0.082163
4.72 0.082683
4.73 0.0832
4.74 0.083688
4.75 0.084219
4.76 0.084725
4.77 0.085209
4.78 0.085685
4.79 0.086188
4.8 0.086701
4.81 0.087244
4.82 0.087792
4.83 0.088294
4.84 0.088804
4.85 0.089329
4.86 0.0899
4.87 0.090411
4.88 0.090948
4.89 0.09151
4.9 0.092102
4.91 0.092618
4.92 0.093162
4.93 0.093685
4.94 0.094223
4.95 0.094737
4.96 0.09528
4.97 0.095897
4.98 0.096436
4.99 0.097026
5 0.097561
5.01 0.098146
5.02 0.098747
5.03 0.099279
5.04 0.099874
5.05 0.100479
5.06 0.101029
5.07 0.101575
5.08 0.102151
5.09 0.102726
5.1 0.103279
5.11 0.103873
5.12 0.104447
5.13 0.105033
5.14 0.10561
5.15 0.106221
5.16 0.106799
5.17 0.107384
5.18 0.107952
5.19 0.108588
5.2 0.109187
5.21 0.109794
5.22 0.110353
5.23 0.11094
5.24 0.111509
5.25 0.112067
5.26 0.112675
5.27 0.113261
5.28 0.113864
5.29 0.114458
5.3 0.115057
5.31 0.115661
5.32 0.116268
5.33 0.116923
5.34 0.117548
5.35 0.118166
5.36 0.118779
5.37 0.119408
5.38 0.120052
5.39 0.120655
5.4 0.121283
5.41 0.121879
5.42 0.122541
5.43 0.123197
5.44 0.123812
5.45 0.124469
5.46 0.125126
5.47 0.12576
5.48 0.126391
5.49 0.126989
5.5 0.127658
5.51 0.128336
5.52 0.128967
5.53 0.129603
5.54 0.130271
5.55 0.130893
5.56 0.131528
5.57 0.132178
5.58 0.132866
5.59 0.133482
5.6 0.134187
5.61 0.134836
5.62 0.135469
5.63 0.136128
5.64 0.136805
5.65 0.137461
5.66 0.138099
5.67 0.138749
5.68 0.139402
5.69 0.140061
5.7 0.140724
5.71 0.141399
5.72 0.14204
5.73 0.142722
5.74 0.143398
5.75 0.144074
5.76 0.144717
5.77 0.145412
5.78 0.146104
5.79 0.146745
5.8 0.14742
5.81 0.148076
5.82 0.14876
5.83 0.149398
5.84 0.150062
5.85 0.150815
5.86 0.151537
5.87 0.152246
5.88 0.152941
5.89 0.153626
5.9 0.15432
5.91 0.154977
5.92 0.155673
5.93 0.156387
5.94 0.157053
5.95 0.15774
5.96 0.158407
5.97 0.159155
5.98 0.159895
5.99 0.160568
6 0.161281
6.01 0.161951
6.02 0.162653
6.03 0.163353
6.04 0.164055
6.05 0.164782
6.06 0.16551
6.07 0.166178
6.08 0.16686
6.09 0.167575
6.1 0.168266
6.11 0.168982
6.12 0.169712
6.13 0.170416
6.14 0.171189
6.15 0.171909
6.16 0.172621
6.17 0.17334
6.18 0.174034
6.19 0.174761
6.2 0.175546
6.21 0.176291
6.22 0.176982
6.23 0.17772
6.24 0.178438
6.25 0.17916
6.26 0.179845
6.27 0.180649
6.28 0.181369
6.29 0.18212
6.3 0.182894
6.31 0.183654
6.32 0.184437
6.33 0.185116
6.34 0.185848
6.35 0.186594
6.36 0.187333
6.37 0.188032
6.38 0.188809
6.39 0.189561
6.4 0.19026
6.41 0.190976
6.42 0.191742
6.43 0.192496
6.44 0.193252
6.45 0.194075
6.46 0.194819
6.47 0.195542
6.48 0.196255
6.49 0.197012
6.5 0.197767
6.51 0.198517
6.52 0.199255
6.53 0.200047
6.54 0.200775
6.55 0.201551
6.56 0.202345
6.57 0.20311
6.58 0.203873
6.59 0.20467
6.6 0.20549
6.61 0.206251
6.62 0.207069
6.63 0.207862
6.64 0.208659
6.65 0.209416
6.66 0.210178
6.67 0.210985
6.68 0.211803
6.69 0.21258
6.7 0.213387
6.71 0.214191
6.72 0.214945
6.73 0.215678
6.74 0.216426
6.75 0.217261
6.76 0.218081
6.77 0.218809
6.78 0.219556
6.79 0.220321
6.8 0.221134
6.81 0.221912
6.82 0.222683
6.83 0.223483
6.84 0.224261
6.85 0.225065
6.86 0.225935
6.87 0.226726
6.88 0.227506
6.89 0.228304
6.9 0.229089
6.91 0.229906
6.92 0.230712
6.93 0.231517
6.94 0.232343
6.95 0.233149
6.96 0.23394
6.97 0.23475
6.98 0.23556
6.99 0.236363
7 0.237148
7.01 0.237934
7.02 0.238771
7.03 0.239591
7.04 0.240367
7.05 0.241158
7.06 0.241983
7.07 0.24277
7.08 0.243585
7.09 0.244374
7.1 0.245178
7.11 0.245962
7.12 0.246702
7.13 0.247562
7.14 0.248345
7.15 0.249111
7.16 0.24993
7.17 0.250764
7.18 0.25157
7.19 0.252314
7.2 0.253124
7.21 0.253943
7.22 0.254741
7.23 0.255587
7.24 0.256384
7.25 0.257192
7.26 0.258015
7.27 0.258854
7.28 0.259757
7.29 0.26058
7.3 0.261407
7.31 0.262175
7.32 0.263022
7.33 0.263871
7.34 0.264703
7.35 0.265516
7.36 0.266354
7.37 0.267217
7.38 0.268049
7.39 0.268845
7.4 0.26967
7.41 0.270489
7.42 0.271344
7.43 0.272154
7.44 0.272976
7.45 0.273804
7.46 0.274602
7.47 0.275476
7.48 0.276292
7.49 0.277123
7.5 0.277952
7.51 0.278766
7.52 0.279625
7.53 0.280474
7.54 0.281317
7.55 0.282182
7.56 0.282993
7.57 0.283843
7.58 0.284665
7.59 0.285529
7.6 0.286349
7.61 0.287218
7.62 0.288022
7.63 0.288878
7.64 0.289745
7.65 0.2906
7.66 0.291395
7.67 0.292267
7.68 0.293097
7.69 0.293961
7.7 0.29484
7.71 0.295689
7.72 0.29655
7.73 0.297347
7.74 0.298198
7.75 0.299063
7.76 0.299888
7.77 0.300718
7.78 0.301583
7.79 0.302417
7.8 0.303256
7.81 0.30411
7.82 0.30499
7.83 0.305845
7.84 0.306668
7.85 0.307495
7.86 0.308309
7.87 0.30913
7.88 0.309962
7.89 0.310766
7.9 0.311645
7.91 0.312495
7.92 0.313347
7.93 0.31423
7.94 0.315078
7.95 0.315954
7.96 0.316783
7.97 0.317623
7.98 0.318471
7.99 0.319313
8 0.320193
8.01 0.320994
8.02 0.321885
8.03 0.322754
8.04 0.323652
8.05 0.324485
8.06 0.325339
8.07 0.326201
8.08 0.327037
8.09 0.327903
8.1 0.328763
8.11 0.329628
8.12 0.330474
8.13 0.331352
8.14 0.332217
8.15 0.333097
8.16 0.333972
8.17 0.33481
8.18 0.335664
8.19 0.336513
8.2 0.337406
8.21 0.33827
8.22 0.339124
8.23 0.340002
8.24 0.340931
8.25 0.34182
8.26 0.342708
8.27 0.343545
8.28 0.344397
8.29 0.345256
8.3 0.346147
8.31 0.346993
8.32 0.347851
8.33 0.348708
8.34 0.34953
8.35 0.350401
8.36 0.351267
8.37 0.352166
8.38 0.353024
8.39 0.353873
8.4 0.354703
8.41 0.355563
8.42 0.356343
8.43 0.357155
8.44 0.357994
8.45 0.358866
8.46 0.359751
8.47 0.360576
8.48 0.361435
8.49 0.362254
8.5 0.363094
8.51 0.363933
8.52 0.364784
8.53 0.365621
8.54 0.366443
8.55 0.367266
8.56 0.3681
8.57 0.368972
8.58 0.369813
8.59 0.370636
8.6 0.371507
8.61 0.372393
8.62 0.373272
8.63 0.374139
8.64 0.375012
8.65 0.375844
8.66 0.376693
8.67 0.377527
8.68 0.378378
8.69 0.379246
8.7 0.380089
8.71 0.380955
8.72 0.381787
8.73 0.382656
8.74 0.383469
8.75 0.384304
8.76 0.385151
8.77 0.386031
8.78 0.386891
8.79 0.387816
8.8 0.388636
8.81 0.389528
8.82 0.390402
8.83 0.39124
8.84 0.392097
8.85 0.392934
8.86 0.393877
8.87 0.394774
8.88 0.395604
8.89 0.396502
8.9 0.397354
8.91 0.398192
8.92 0.399057
8.93 0.399914
8.94 0.40078
8.95 0.401637
8.96 0.402525
8.97 0.403366
8.98 0.404182
8.99 0.405026
9 0.405846
9.01 0.40668
9.02 0.407515
9.03 0.408373
9.04 0.409234
9.05 0.410066
9.06 0.410924
9.07 0.411753
9.08 0.41255
9.09 0.41334
9.1 0.414237
9.11 0.415118
9.12 0.415963
9.13 0.416819
9.14 0.41766
9.15 0.418482
9.16 0.419314
9.17 0.420163
9.18 0.420982
9.19 0.421843
9.2 0.422663
9.21 0.423471
9.22 0.424338
9.23 0.425205
9.24 0.426064
9.25 0.426862
9.26 0.427756
9.27 0.428611
9.28 0.429451
9.29 0.430302
9.3 0.431167
9.31 0.432026
9.32 0.432893
9.33 0.433784
9.34 0.434616
9.35 0.435475
9.36 0.436323
9.37 0.437161
9.38 0.438028
9.39 0.438912
9.4 0.43974
9.41 0.440614
9.42 0.441516
9.43 0.442278
9.44 0.443154
9.45 0.444017
9.46 0.444913
9.47 0.445711
9.48 0.446523
9.49 0.447344
9.5 0.448209
9.51 0.449
9.52 0.449818
9.53 0.450638
9.54 0.451472
9.55 0.452342
9.56 0.453167
9.57 0.454037
9.58 0.454914
9.59 0.455749
9.6 0.456588
9.61 0.457419
9.62 0.458252
9.63 0.459086
9.64 0.459892
9.65 0.460768
9.66 0.461637
9.67 0.462452
9.68 0.463239
9.69 0.464096
9.7 0.464896
9.71 0.465768
9.72 0.466558
9.73 0.467416
9.74 0.468215
9.75 0.469015
9.76 0.469806
9.77 0.470663
9.78 0.471473
9.79 0.472297
9.8 0.473172
9.81 0.473999
9.82 0.474831
9.83 0.47564
9.84 0.476438
9.85 0.477184
9.86 0.478016
9.87 0.478827
9.88 0.479714
9.89 0.480537
9.9 0.48135
9.91 0.482195
9.92 0.483051
9.93 0.48392
9.94 0.484767
9.95 0.48559
9.96 0.486434
9.97 0.487194
9.98 0.488013
9.99 0.488814
10 0.489617
10.01 0.490434
10.02 0.491249
10.03 0.492064
10.04 0.492834
10.05 0.49364
10.06 0.494427
10.07 0.49519
10.08 0.496005
10.09 0.496809
10.1 0.497624
10.11 0.498439
10.12 0.499293
10.13 0.500099
10.14 0.500923
10.15 0.501681
10.16 0.502502
10.17 0.503338
10.18 0.504124
10.19 0.504947
10.2 0.505738
10.21 0.506492
10.22 0.507335
10.23 0.508146
10.24 0.50891
10.25 0.509665
10.26 0.510423
10.27 0.511264
10.28 0.512064
10.29 0.512836
10.3 0.513623
10.31 0.514422
10.32 0.51523
10.33 0.51601
10.34 0.516814
10.35 0.517605
10.36 0.518421
10.37 0.519244
10.38 0.520052
10.39 0.520846
10.4 0.521638
10.41 0.522469
10.42 0.523285
10.43 0.524062
10.44 0.524848
10.45 0.525629
10.46 0.526402
10.47 0.527164
10.48 0.52794
10.49 0.528722
10.5 0.529508
10.51 0.530262
10.52 0.531026
10.53 0.531784
10.54 0.532621
10.55 0.533415
10.56 0.534163
10.57 0.534961
10.58 0.535722
10.59 0.536496
10.6 0.537265
10.61 0.53806
10.62 0.538764
10.63 0.539575
10.64 0.540336
10.65 0.541107
10.66 0.541912
10.67 0.54269
10.68 0.54348
10.69 0.544236
10.7 0.544973
10.71 0.545733
10.72 0.546505
10.73 0.547298
10.74 0.548042
10.75 0.54884
10.76 0.549588
10.77 0.550356
10.78 0.551151
10.79 0.551938
10.8 0.552787
10.81 0.55353
10.82 0.554306
10.83 0.555083
10.84 0.555878
10.85 0.556642
10.86 0.557401
10.87 0.558181
10.88 0.558964
10.89 0.559725
10.9 0.560519
10.91 0.561303
10.92 0.562017
10.93 0.562753
10.94 0.563496
10.95 0.564304
10.96 0.565047
10.97 0.565764
10.98 0.566611
10.99 0.567345
11 0.568113
11.01 0.568804
11.02 0.569529
11.03 0.570291
11.04 0.571077
11.05 0.571859
11.06 0.572679
11.07 0.573431
11.08 0.574209
11.09 0.574974
11.1 0.575753
11.11 0.576577
11.12 0.577345
11.13 0.578066
11.14 0.578826
11.15 0.579557
11.16 0.580273
11.17 0.580994
11.18 0.5817
11.19 0.582465
11.2 0.583205
11.21 0.583958
11.22 0.584677
11.23 0.585476
11.24 0.586215
11.25 0.586896
11.26 0.587647
11.27 0.588417
11.28 0.589165
11.29 0.589923
11.3 0.590662
11.31 0.591395
11.32 0.592114
11.33 0.592862
11.34 0.593545
11.35 0.594296
11.36 0.595005
11.37 0.595731
11.38 0.59652
11.39 0.597271
11.4 0.597998
11.41 0.59875
11.42 0.599429
11.43 0.600147
11.44 0.600871
11.45 0.601587
11.46 0.602346
11.47 0.603083
11.48 0.603829
11.49 0.604592
11.5 0.605356
11.51 0.606097
11.52 0.606828
11.53 0.607533
11.54 0.608269
11.55 0.608935
11.56 0.609631
11.57 0.610342
11.58 0.61111
11.59 0.611813
11.6 0.61252
11.61 0.613202
11.62 0.613896
11.63 0.614601
11.64 0.615287
11.65 0.615972
11.66 0.616677
11.67 0.617377
11.68 0.618081
11.69 0.618815
11.7 0.619497
11.71 0.620214
11.72 0.620915
11.73 0.621624
11.74 0.622323
11.75 0.623007
11.76 0.623708
11.77 0.62441
11.78 0.625103
11.79 0.625825
11.8 0.626525
11.81 0.62724
11.82 0.627959
11.83 0.628704
11.84 0.629436
11.85 0.630121
11.86 0.630788
11.87 0.631506
11.88 0.632202
11.89 0.632917
11.9 0.633559
11.91 0.634231
11.92 0.634936
11.93 0.635617
11.94 0.636277
11.95 0.636976
11.96 0.637657
11.97 0.638318
11.98 0.639016
11.99 0.639713
12 0.640434
12.01 0.641107
12.02 0.641833
12.03 0.6425
12.04 0.643188
12.05 0.643848
12.06 0.644527
12.07 0.645168
12.08 0.645864
12.09 0.646555
12.1 0.647234
12.11 0.647922
12.12 0.64856
12.13 0.649223
12.14 0.649883
12.15 0.650592
12.16 0.651258
12.17 0.651932
12.18 0.652541
12.19 0.653231
12.2 0.653879
12.21 0.654483
12.22 0.655114
12.23 0.655833
12.24 0.656482
12.25 0.657074
12.26 0.657731
12.27 0.658342
12.28 0.658991
12.29 0.659623
12.3 0.66028
12.31 0.660912
12.32 0.661524
12.33 0.662185
12.34 0.662797
12.35 0.663448
12.36 0.66409
12.37 0.66477
12.38 0.665447
12.39 0.666061
12.4 0.666724
12.41 0.667399
12.42 0.66807
12.43 0.668704
12.44 0.669331
12.45 0.669998
12.46 0.670652
12.47 0.671319
12.48 0.671947
12.49 0.672606
12.5 0.673252
12.51 0.673903
12.52 0.67454
12.53 0.675166
12.54 0.675844
12.55 0.676474
12.56 0.67713
12.57 0.677752
12.58 0.678361
12.59 0.67897
12.6 0.679562
12.61 0.680231
12.62 0.680847
12.63 0.681505
12.64 0.682135
12.65 0.682761
12.66 0.683364
12.67 0.683982
12.68 0.684604
12.69 0.685218
12.7 0.685839
12.71 0.686461
12.72 0.687114
12.73 0.687768
12.74 0.688454
12.75 0.689097
12.76 0.689712
12.77 0.690308
12.78 0.690925
12.79 0.691543
12.8 0.692181
12.81 0.692782
12.82 0.693384
12.83 0.694032
12.84 0.694617
12.85 0.695205
12.86 0.695822
12.87 0.696437
12.88 0.697051
12.89 0.697641
12.9 0.698302
12.91 0.698921
12.92 0.699555
12.93 0.700146
12.94 0.70071
12.95 0.701294
12.96 0.701858
12.97 0.702427
12.98 0.703046
12.99 0.703631
13 0.704232
13.01 0.704807
13.02 0.705388
13.03 0.70596
13.04 0.706555
13.05 0.707141
13.06 0.707766
13.07 0.708332
13.08 0.708919
13.09 0.709517
13.1 0.710129
13.11 0.710768
13.12 0.711369
13.13 0.711971
13.14 0.712556
13.15 0.713162
13.16 0.713801
13.17 0.714369
13.18 0.714984
13.19 0.715559
13.2 0.716113
13.21 0.716707
13.22 0.717304
13.23 0.717854
13.24 0.718407
13.25 0.718991
13.26 0.719575
13.27 0.720149
13.28 0.720714
13.29 0.721286
13.3 0.721838
13.31 0.72244
13.32 0.723026
13.33 0.723595
13.34 0.724173
13.35 0.724742
13.36 0.725322
13.37 0.725896
13.38 0.726428
13.39 0.726978
13.4 0.727537
13.41 0.728104
13.42 0.728653
13.43 0.729216
13.44 0.729761
13.45 0.730316
13.46 0.730862
13.47 0.731467
13.48 0.731987
13.49 0.732535
13.5 0.733069
13.51 0.733626
13.52 0.734212
13.53 0.734788
13.54 0.735359
13.55 0.735916
13.56 0.73642
13.57 0.736926
13.58 0.73745
13.59 0.737973
13.6 0.738533
13.61 0.739069
13.62 0.739655
13.63 0.740174
13.64 0.740713
13.65 0.741262
13.66 0.74179
13.67 0.742308
13.68 0.742858
13.69 0.743414
13.7 0.743923
13.71 0.744464
13.72 0.745005
13.73 0.745576
13.74 0.74611
13.75 0.746687
13.76 0.747211
13.77 0.747767
13.78 0.748338
13.79 0.748881
13.8 0.749446
13.81 0.749953
13.82 0.750488
13.83 0.751016
13.84 0.751506
13.85 0.752033
13.86 0.7526
13.87 0.753081
13.88 0.753577
13.89 0.754076
13.9 0.754586
13.91 0.755115
13.92 0.755637
13.93 0.756138
13.94 0.756681
13.95 0.757238
13.96 0.757721
13.97 0.75821
13.98 0.758737
13.99 0.759281
14 0.759815
14.01 0.760339
14.02 0.760815
14.03 0.761346
14.04 0.761873
14.05 0.762391
14.06 0.762925
14.07 0.763429
14.08 0.763964
14.09 0.76444
14.1 0.76496
14.11 0.765476
14.12 0.765988
14.13 0.766475
14.14 0.766997
14.15 0.767519
14.16 0.768019
14.17 0.768565
14.18 0.769056
14.19 0.769559
14.2 0.770033
14.21 0.770512
14.22 0.771025
14.23 0.771504
14.24 0.772007
14.25 0.772461
14.26 0.772946
14.27 0.773477
14.28 0.773962
14.29 0.774429
14.3 0.774921
14.31 0.775439
14.32 0.775956
14.33 0.776416
14.34 0.776902
14.35 0.777364
14.36 0.777903
14.37 0.77838
14.38 0.778847
14.39 0.779321
14.4 0.77977
14.41 0.780226
14.42 0.780709
14.43 0.781183
14.44 0.781665
14.45 0.782172
14.46 0.782663
14.47 0.783128
14.48 0.78359
14.49 0.78404
14.5 0.784531
14.51 0.784997
14.52 0.785431
14.53 0.785882
14.54 0.786366
14.55 0.786814
14.56 0.787279
14.57 0.787764
14.58 0.788247
14.59 0.788752
14.6 0.789218
14.61 0.789682
14.62 0.790134
14.63 0.790607
14.64 0.791052
14.65 0.791479
14.66 0.791903
14.67 0.792361
14.68 0.792777
14.69 0.793224
14.7 0.793683
14.71 0.794138
14.72 0.794629
14.73 0.795063
14.74 0.795534
14.75 0.795989
14.76 0.796453
14.77 0.796919
14.78 0.797398
14.79 0.797821
14.8 0.798235
14.81 0.798679
14.82 0.799103
14.83 0.799537
14.84 0.79998
14.85 0.800472
14.86 0.800916
14.87 0.801382
14.88 0.801804
14.89 0.802235
14.9 0.80267
14.91 0.803125
14.92 0.803597
14.93 0.804055
14.94 0.804467
14.95 0.804889
14.96 0.805347
14.97 0.805784
14.98 0.806221
14.99 0.80663
15 0.807052
15.01 0.807507
15.02 0.807935
15.03 0.808383
15.04 0.80882
15.05 0.809269
15.06 0.80971
15.07 0.81013
15.08 0.810525
15.09 0.810909
15.1 0.811306
15.11 0.811709
15.12 0.812123
15.13 0.812562
15.14 0.81299
15.15 0.813418
15.16 0.813839
15.17 0.814286
15.18 0.814736
15.19 0.815146
15.2 0.815567
15.21 0.816003
15.22 0.816403
15.23 0.816826
15.24 0.81724
15.25 0.817642
15.26 0.818062
15.27 0.818472
15.28 0.818889
15.29 0.819278
15.3 0.819682
15.31 0.820078
15.32 0.820505
15.33 0.820931
15.34 0.821338
15.35 0.821743
15.36 0.822131
15.37 0.822498
15.38 0.822893
15.39 0.82328
15.4 0.823678
15.41 0.824084
15.42 0.824492
15.43 0.824874
15.44 0.825263
15.45 0.825646
15.46 0.826044
15.47 0.826415
15.48 0.826821
15.49 0.827172
15.5 0.82761
15.51 0.827993
15.52 0.828379
15.53 0.828771
15.54 0.829166
15.55 0.829572
15.56 0.829946
15.57 0.830323
15.58 0.830672
15.59 0.831062
15.6 0.831432
15.61 0.831824
15.62 0.832216
15.63 0.832592
15.64 0.833012
15.65 0.833389
15.66 0.833758
15.67 0.834154
15.68 0.834525
15.69 0.834865
15.7 0.835244
15.71 0.835608
15.72 0.835972
15.73 0.836323
15.74 0.836721
15.75 0.837091
15.76 0.837466
15.77 0.837857
15.78 0.838243
15.79 0.838614
15.8 0.838995
15.81 0.839365
15.82 0.839734
15.83 0.840098
15.84 0.840463
15.85 0.840888
15.86 0.84124
15.87 0.841616
15.88 0.841964
15.89 0.842334
15.9 0.842723
15.91 0.843104
15.92 0.843427
15.93 0.843785
15.94 0.844179
15.95 0.844523
15.96 0.844886
15.97 0.845211
15.98 0.845569
15.99 0.845918
16 0.846254
16.01 0.846614
16.02 0.846962
16.03 0.847327
16.04 0.84769
16.05 0.848039
16.06 0.848401
16.07 0.84876
16.08 0.849112
16.09 0.849475
16.1 0.849823
16.11 0.850137
16.12 0.850482
16.13 0.850832
16.14 0.851144
16.15 0.8515
16.16 0.851831
16.17 0.852185
16.18 0.852535
16.19 0.852889
16.2 0.853244
16.21 0.853558
16.22 0.853895
16.23 0.854242
16.24 0.854587
16.25 0.854908
16.26 0.855235
16.27 0.855577
16.28 0.855912
16.29 0.856245
16.3 0.856603
16.31 0.85696
16.32 0.857269
16.33 0.857626
16.34 0.857987
16.35 0.858321
16.36 0.858647
16.37 0.858976
16.38 0.85927
16.39 0.859621
16.4 0.85993
16.41 0.860251
16.42 0.860578
16.43 0.860915
16.44 0.861269
16.45 0.861601
16.46 0.86193
16.47 0.86226
16.48 0.862559
16.49 0.862879
16.5 0.863224
16.51 0.863531
16.52 0.863866
16.53 0.864195
16.54 0.86454
16.55 0.864856
16.56 0.865154
16.57 0.865483
16.58 0.865782
16.59 0.866121
16.6 0.866423
16.61 0.866755
16.62 0.867086
16.63 0.867375
16.64 0.867703
16.65 0.868023
16.66 0.868339
16.67 0.868633
16.68 0.86896
16.69 0.869265
16.7 0.86957
16.71 0.869869
16.72 0.87015
16.73 0.870441
16.74 0.870765
16.75 0.871087
16.76 0.871391
16.77 0.871685
16.78 0.871975
16.79 0.872297
16.8 0.872601
16.81 0.87292
16.82 0.873236
16.83 0.873539
16.84 0.873842
16.85 0.874162
16.86 0.874425
16.87 0.874701
16.88 0.874976
16.89 0.875255
16.9 0.875552
16.91 0.875851
16.92 0.876131
16.93 0.876441
16.94 0.876727
16.95 0.877003
16.96 0.8773
16.97 0.877596
16.98 0.877884
16.99 0.878172
17 0.878468
17.01 0.878746
17.02 0.879017
17.03 0.879302
17.04 0.879585
17.05 0.879879
17.06 0.880175
17.07 0.880477
17.08 0.880777
17.09 0.881071
17.1 0.881382
17.11 0.881676
17.12 0.881948
17.13 0.88227
17.14 0.882555
17.15 0.882838
17.16 0.883114
17.17 0.883385
17.18 0.883658
17.19 0.883932
17.2 0.884228
17.21 0.884493
17.22 0.884784
17.23 0.885023
17.24 0.885265
17.25 0.885545
17.26 0.885853
17.27 0.886108
17.28 0.886367
17.29 0.886651
17.3 0.886919
17.31 0.887204
17.32 0.887442
17.33 0.887692
17.34 0.887945
17.35 0.88822
17.36 0.888504
17.37 0.888752
17.38 0.889003
17.39 0.889273
17.4 0.889544
17.41 0.889783
17.42 0.890017
17.43 0.890279
17.44 0.890557
17.45 0.890836
17.46 0.891113
17.47 0.891382
17.48 0.891635
17.49 0.891908
17.5 0.892144
17.51 0.892395
17.52 0.892667
17.53 0.892934
17.54 0.89322
17.55 0.893478
17.56 0.89372
17.57 0.893975
17.58 0.89425
17.59 0.8945
17.6 0.894747
17.61 0.895023
17.62 0.89528
17.63 0.895535
17.64 0.895785
17.65 0.896042
17.66 0.896261
17.67 0.896486
17.68 0.896749
17.69 0.896996
17.7 0.897271
17.71 0.897538
17.72 0.897776
17.73 0.898035
17.74 0.898288
17.75 0.898545
17.76 0.898803
17.77 0.899043
17.78 0.899277
17.79 0.899503
17.8 0.899727
17.81 0.899971
17.82 0.900199
17.83 0.900455
17.84 0.900686
17.85 0.900927
17.86 0.901175
17.87 0.901405
17.88 0.901642
17.89 0.901867
17.9 0.902093
17.91 0.902348
17.92 0.902595
17.93 0.902826
17.94 0.903071
17.95 0.903306
17.96 0.903552
17.97 0.903803
17.98 0.904047
17.99 0.904266
18 0.904527
18.01 0.90476
18.02 0.904986
18.03 0.905221
18.04 0.905454
18.05 0.905692
18.06 0.905918
18.07 0.906162
18.08 0.906378
18.09 0.906615
18.1 0.906882
18.11 0.90711
18.12 0.907329
18.13 0.907566
18.14 0.907785
18.15 0.908034
18.16 0.908265
18.17 0.90848
18.18 0.908724
18.19 0.908928
18.2 0.909144
18.21 0.909359
18.22 0.909598
18.23 0.909829
18.24 0.910036
18.25 0.910251
18.26 0.91047
18.27 0.910688
18.28 0.9109
18.29 0.911106
18.3 0.911341
18.31 0.911552
18.32 0.911792
18.33 0.912017
18.34 0.912219
18.35 0.912433
18.36 0.912636
18.37 0.912864
18.38 0.913082
18.39 0.91328
18.4 0.913507
18.41 0.913706
18.42 0.913904
18.43 0.914131
18.44 0.914334
18.45 0.914531
18.46 0.91474
18.47 0.91494
18.48 0.91515
18.49 0.915381
18.5 0.915593
18.51 0.915819
18.52 0.916047
18.53 0.916258
18.54 0.916465
18.55 0.916662
18.56 0.916877
18.57 0.917072
18.58 0.917286
18.59 0.917508
18.6 0.917706
18.61 0.917911
18.62 0.918112
18.63 0.918333
18.64 0.918531
18.65 0.918749
18.66 0.918954
18.67 0.91916
18.68 0.919356
18.69 0.919523
18.7 0.919736
18.71 0.919933
18.72 0.920151
18.73 0.920361
18.74 0.92054
18.75 0.920722
18.76 0.920928
18.77 0.921169
18.78 0.921363
18.79 0.921559
18.8 0.921742
18.81 0.921926
18.82 0.922143
18.83 0.922339
18.84 0.922528
18.85 0.922719
18.86 0.922918
18.87 0.923142
18.88 0.923319
18.89 0.923514
18.9 0.923693
18.91 0.923876
18.92 0.924064
18.93 0.924262
18.94 0.924464
18.95 0.924654
18.96 0.924839
18.97 0.925022
18.98 0.925205
18.99 0.925388
19 0.925559
19.01 0.925741
19.02 0.925914
19.03 0.926088
19.04 0.926259
19.05 0.926442
19.06 0.926604
19.07 0.926793
19.08 0.926967
19.09 0.927128
19.1 0.927319
19.11 0.927495
19.12 0.927701
19.13 0.927866
19.14 0.928064
19.15 0.928251
19.16 0.928433
19.17 0.928596
19.18 0.928782
19.19 0.92896
19.2 0.929114
19.21 0.929306
19.22 0.929503
19.23 0.929675
19.24 0.929884
19.25 0.930055
19.26 0.930224
19.27 0.930391
19.28 0.930575
19.29 0.930749
19.3 0.930915
19.31 0.931099
19.32 0.931309
19.33 0.931494
19.34 0.931653
19.35 0.931852
19.36 0.932028
19.37 0.932205
19.38 0.93239
19.39 0.932572
19.4 0.932735
19.41 0.932903
19.42 0.933099
19.43 0.93327
19.44 0.933436
19.45 0.933602
19.46 0.933771
19.47 0.933963
19.48 0.934151
19.49 0.934314
19.5 0.934491
19.51 0.934654
19.52 0.934819
19.53 0.934986
19.54 0.935166
19.55 0.935326
19.56 0.935497
19.57 0.935659
19.58 0.935834
19.59 0.935973
19.6 0.936147
19.61 0.936309
19.62 0.936447
19.63 0.936597
19.64 0.936754
19.65 0.936908
19.66 0.937071
19.67 0.93723
19.68 0.937386
19.69 0.937523
19.7 0.937674
19.71 0.937837
19.72 0.938006
19.73 0.938165
19.74 0.938315
19.75 0.938477
19.76 0.938628
19.77 0.938795
19.78 0.938969
19.79 0.939138
19.8 0.939309
19.81 0.939473
19.82 0.939635
19.83 0.939791
19.84 0.939917
19.85 0.940087
19.86 0.940242
19.87 0.940396
19.88 0.94057
19.89 0.940719
19.9 0.94087
19.91 0.941026
19.92 0.941179
19.93 0.941344
19.94 0.941484
19.95 0.941625
19.96 0.941785
19.97 0.941934
19.98 0.942063
19.99 0.942221
20 0.942366
20.01 0.942504
20.02 0.942651
20.03 0.942785
20.04 0.942935
20.05 0.943065
20.06 0.943226
20.07 0.94339
20.08 0.943536
20.09 0.943678
20.1 0.94384
20.11 0.943974
20.12 0.944128
20.13 0.944271
20.14 0.944423
20.15 0.944591
20.16 0.944733
20.17 0.944903
20.18 0.945048
20.19 0.945184
20.2 0.945315
20.21 0.94547
20.22 0.945615
20.23 0.94575
20.24 0.945885
20.25 0.946028
20.26 0.946172
20.27 0.946308
20.28 0.946467
20.29 0.946608
20.3 0.946743
20.31 0.946892
20.32 0.947041
20.33 0.947175
20.34 0.947319
20.35 0.947449
20.36 0.947588
20.37 0.947744
20.38 0.947897
20.39 0.948052
20.4 0.948185
20.41 0.948319
20.42 0.948455
20.43 0.9486
20.44 0.948749
20.45 0.948895
20.46 0.949025
20.47 0.949157
20.48 0.949292
20.49 0.949412
20.5 0.949545
20.51 0.949693
20.52 0.949833
20.53 0.949955
20.54 0.95009
20.55 0.950214
20.56 0.950351
20.57 0.950451
20.58 0.95059
20.59 0.950723
20.6 0.950855
20.61 0.950992
20.62 0.951108
20.63 0.951249
20.64 0.95137
20.65 0.951519
20.66 0.951623
20.67 0.951723
20.68 0.951853
20.69 0.951967
20.7 0.952106
20.71 0.952255
20.72 0.952391
20.73 0.95251
20.74 0.952643
20.75 0.952771
20.76 0.952901
20.77 0.953026
20.78 0.95315
20.79 0.953297
20.8 0.953411
20.81 0.953528
20.82 0.953647
20.83 0.953768
20.84 0.953902
20.85 0.954022
20.86 0.954144
20.87 0.954273
20.88 0.954385
20.89 0.954531
20.9 0.954646
20.91 0.95476
20.92 0.954881
20.93 0.95499
20.94 0.955104
20.95 0.955226
20.96 0.95536
20.97 0.95547
20.98 0.955605
20.99 0.955726
21 0.955857
21.01 0.955984
21.02 0.956098
21.03 0.956216
21.04 0.956336
21.05 0.956457
21.06 0.95655
21.07 0.95666
21.08 0.956777
21.09 0.95687
21.1 0.956992
21.11 0.957091
21.12 0.957202
21.13 0.957323
21.14 0.957443
21.15 0.957567
21.16 0.95768
21.17 0.957789
21.18 0.957891
21.19 0.958
21.2 0.958123
21.21 0.958253
21.22 0.958369
21.23 0.958465
21.24 0.958566
21.25 0.958678
21.26 0.95879
21.27 0.958901
21.28 0.95902
21.29 0.959139
21.3 0.959239
21.31 0.959365
21.32 0.959454
21.33 0.959554
21.34 0.959664
21.35 0.959788
21.36 0.95991
21.37 0.96001
21.38 0.960117
21.39 0.960222
21.4 0.960318
21.41 0.960415
21.42 0.960538
21.43 0.96065
21.44 0.96075
21.45 0.960869
21.46 0.960976
21.47 0.961083
21.48 0.961175
21.49 0.96127
21.5 0.961373
21.51 0.961472
21.52 0.961579
21.53 0.961692
21.54 0.961811
21.55 0.96192
21.56 0.962027
21.57 0.962129
21.58 0.962223
21.59 0.962336
21.6 0.962445
21.61 0.962562
21.62 0.962646
21.63 0.962753
21.64 0.962838
21.65 0.962918
21.66 0.963015
21.67 0.963118
21.68 0.963242
21.69 0.963335
21.7 0.963432
21.71 0.963535
21.72 0.963609
21.73 0.963717
21.74 0.963822
21.75 0.963923
21.76 0.964015
21.77 0.964123
21.78 0.964227
21.79 0.964323
21.8 0.964425
21.81 0.964515
21.82 0.964618
21.83 0.964722
21.84 0.964807
21.85 0.964897
21.86 0.965006
21.87 0.965091
21.88 0.965184
21.89 0.965287
21.9 0.965387
21.91 0.96546
21.92 0.965554
21.93 0.96566
21.94 0.965769
21.95 0.965858
21.96 0.965969
21.97 0.96607
21.98 0.966157
21.99 0.966239
22 0.966337
22.01 0.966446
22.02 0.966528
22.03 0.966612
22.04 0.966707
22.05 0.966793
22.06 0.966884
22.07 0.966978
22.08 0.967071
22.09 0.967154
22.1 0.967253
22.11 0.967348
22.12 0.967435
22.13 0.967528
22.14 0.967601
22.15 0.967679
22.16 0.967772
22.17 0.967844
22.18 0.967931
22.19 0.96801
22.2 0.968106
22.21 0.96818
22.22 0.968272
22.23 0.968349
22.24 0.968432
22.25 0.968536
22.26 0.96863
22.27 0.968728
22.28 0.968824
22.29 0.968924
22.3 0.969004
22.31 0.969077
22.32 0.969156
22.33 0.969241
22.34 0.969318
22.35 0.969399
22.36 0.969468
22.37 0.969546
22.38 0.969631
22.39 0.969705
22.4 0.969785
22.41 0.969865
22.42 0.969944
22.43 0.97004
22.44 0.970118
22.45 0.97021
22.46 0.970291
22.47 0.97036
22.48 0.970463
22.49 0.970568
22.5 0.970652
22.51 0.970736
22.52 0.970829
22.53 0.97091
22.54 0.971014
22.55 0.97109
22.56 0.971171
22.57 0.971243
22.58 0.971324
22.59 0.971404
22.6 0.971472
22.61 0.971557
22.62 0.971636
22.63 0.971723
22.64 0.971798
22.65 0.971871
22.66 0.971944
22.67 0.972014
22.68 0.972089
22.69 0.972147
22.7 0.972217
22.71 0.972307
22.72 0.972393
22.73 0.972464
22.74 0.972533
22.75 0.972619
22.76 0.972705
22.77 0.97278
22.78 0.97285
22.79 0.972933
22.8 0.973016
22.81 0.973091
22.82 0.973177
22.83 0.973233
22.84 0.973295
22.85 0.973365
22.86 0.973446
22.87 0.973519
22.88 0.973586
22.89 0.973667
22.9 0.973736
22.91 0.973802
22.92 0.973881
22.93 0.973954
22.94 0.974053
22.95 0.97413
22.96 0.974209
22.97 0.974281
22.98 0.974353
22.99 0.974436
23 0.974511
23.01 0.974586
23.02 0.974653
23.03 0.974716
23.04 0.974785
23.05 0.97485
23.06 0.97492
23.07 0.975004
23.08 0.975069
23.09 0.97514
23.1 0.975212
23.11 0.975292
23.12 0.975353
23.13 0.975418
23.14 0.975474
23.15 0.975541
23.16 0.9756
23.17 0.975666
23.18 0.975734
23.19 0.975788
23.2 0.975843
23.21 0.975933
23.22 0.975996
23.23 0.976062
23.24 0.976124
23.25 0.976182
23.26 0.976252
23.27 0.976318
23.28 0.976392
23.29 0.976451
23.3 0.976525
23.31 0.976575
23.32 0.976652
23.33 0.976714
23.34 0.976775
23.35 0.976838
23.36 0.976905
23.37 0.976961
23.38 0.977024
23.39 0.977083
23.4 0.977142
23.41 0.977195
23.42 0.977248
23.43 0.977316
23.44 0.977382
23.45 0.977448
23.46 0.977514
23.47 0.977572
23.48 0.977628
23.49 0.977676
23.5 0.977727
23.51 0.97779
23.52 0.977849
23.53 0.977928
23.54 0.977986
23.55 0.978048
23.56 0.978109
23.57 0.978179
23.58 0.978238
23.59 0.978286
23.6 0.978354
23.61 0.97842
23.62 0.97848
23.63 0.978528
23.64 0.978581
23.65 0.97865
23.66 0.978724
23.67 0.978779
23.68 0.978858
23.69 0.978913
23.7 0.978974
23.71 0.979027
23.72 0.979083
23.73 0.979141
23.74 0.979195
23.75 0.979257
23.76 0.979308
23.77 0.979376
23.78 0.979441
23.79 0.979496
23.8 0.979554
23.81 0.979607
23.82 0.979667
23.83 0.979715
23.84 0.979769
23.85 0.979826
23.86 0.979889
23.87 0.979934
23.88 0.979985
23.89 0.980034
23.9 0.980086
23.91 0.980145
23.92 0.980199
23.93 0.980242
23.94 0.980295
23.95 0.980357
23.96 0.980411
23.97 0.98047
23.98 0.98052
23.99 0.980579
24 0.980626
24.01 0.980673
24.02 0.980725
24.03 0.98078
24.04 0.980834
24.05 0.980879
24.06 0.980931
24.07 0.980986
24.08 0.98104
24.09 0.981093
24.1 0.98115
24.11 0.981182
24.12 0.981237
24.13 0.981281
24.14 0.981338
24.15 0.981375
24.16 0.981421
24.17 0.981467
24.18 0.981525
24.19 0.981573
24.2 0.981619
24.21 0.98168
24.22 0.981735
24.23 0.981777
24.24 0.981817
24.25 0.981873
24.26 0.981923
24.27 0.981968
24.28 0.982014
24.29 0.982052
24.3 0.9821
24.31 0.982151
24.32 0.9822
24.33 0.982244
24.34 0.982298
24.35 0.982349
24.36 0.9824
24.37 0.982458
24.38 0.982515
24.39 0.982564
24.4 0.98262
24.41 0.982668
24.42 0.982729
24.43 0.982773
24.44 0.982821
24.45 0.982863
24.46 0.982907
24.47 0.982959
24.48 0.983009
24.49 0.98305
24.5 0.983098
24.51 0.983139
24.52 0.983196
24.53 0.983246
24.54 0.983286
24.55 0.983334
24.56 0.983391
24.57 0.983435
24.58 0.983486
24.59 0.983544
24.6 0.983581
24.61 0.983619
24.62 0.983671
24.63 0.983726
24.64 0.983766
24.65 0.983805
24.66 0.98384
24.67 0.983885
24.68 0.983939
24.69 0.983988
24.7 0.984031
24.71 0.984099
24.72 0.984135
24.73 0.984179
24.74 0.984227
24.75 0.984273
24.76 0.984318
24.77 0.984357
24.78 0.984403
24.79 0.984457
24.8 0.984503
24.81 0.984547
24.82 0.984581
24.83 0.984628
24.84 0.984671
24.85 0.984714
24.86 0.984761
24.87 0.984796
24.88 0.984839
24.89 0.984878
24.9 0.984912
24.91 0.984954
24.92 0.984991
24.93 0.985038
24.94 0.985079
24.95 0.985118
24.96 0.98515
24.97 0.985207
24.98 0.985257
24.99 0.985295
25 0.985337
25.01 0.985381
25.02 0.985423
25.03 0.985464
25.04 0.985504
25.05 0.985542
25.06 0.985594
25.07 0.985628
25.08 0.985675
25.09 0.985724
25.1 0.985764
25.11 0.985806
25.12 0.985856
25.13 0.9859
25.14 0.985943
25.15 0.985988
25.16 0.986029
25.17 0.986063
25.18 0.986099
25.19 0.986136
25.2 0.986179
25.21 0.986217
25.22 0.986251
25.23 0.986285
25.24 0.986323
25.25 0.986353
25.26 0.986404
25.27 0.986436
25.28 0.986471
25.29 0.986498
25.3 0.986539
25.31 0.986562
25.32 0.986597
25.33 0.986637
25.34 0.98668
25.35 0.98673
25.36 0.986768
25.37 0.986807
25.38 0.986859
25.39 0.986899
25.4 0.986923
25.41 0.986961
25.42 0.98699
25.43 0.987029
25.44 0.987071
25.45 0.98711
25.46 0.987136
25.47 0.987175
25.48 0.987216
25.49 0.987255
25.5 0.987303
25.51 0.987343
25.52 0.98738
25.53 0.987413
25.54 0.987435
25.55 0.987465
25.56 0.987497
25.57 0.987533
25.58 0.987573
25.59 0.987608
25.6 0.987646
25.61 0.987672
25.62 0.987702
25.63 0.987736
25.64 0.98776
25.65 0.987798
25.66 0.987825
25.67 0.987855
25.68 0.98789
25.69 0.987925
25.7 0.987958
25.71 0.988
25.72 0.988035
25.73 0.988068
25.74 0.988096
25.75 0.988131
25.76 0.988171
25.77 0.988204
25.78 0.988241
25.79 0.988273
25.8 0.988307
25.81 0.988339
25.82 0.988371
25.83 0.988417
25.84 0.988442
25.85 0.988483
25.86 0.988516
25.87 0.988549
25.88 0.988577
25.89 0.988611
25.9 0.988657
25.91 0.988691
25.92 0.988714
25.93 0.988749
25.94 0.988785
25.95 0.988823
25.96 0.988857
25.97 0.988892
25.98 0.988924
25.99 0.988954
26 0.988987
26.01 0.989008
26.02 0.989048
26.03 0.989084
26.04 0.989104
26.05 0.989137
26.06 0.989167
26.07 0.989199
26.08 0.98923
26.09 0.989256
26.1 0.98929
26.11 0.989328
26.12 0.989358
26.13 0.98938
26.14 0.989415
26.15 0.989447
26.16 0.98948
26.17 0.989506
26.18 0.98954
26.19 0.989564
26.2 0.989588
26.21 0.989621
26.22 0.989656
26.23 0.989686
26.24 0.989722
26.25 0.989736
26.26 0.989765
26.27 0.989796
26.28 0.989824
26.29 0.989856
26.3 0.989888
26.31 0.989917
26.32 0.989972
26.33 0.990009
26.34 0.990043
26.35 0.99008
26.36 0.990099
26.37 0.990131
26.38 0.990167
26.39 0.990194
26.4 0.990244
26.41 0.990273
26.42 0.990304
26.43 0.990326
26.44 0.990355
26.45 0.990395
26.46 0.99043
26.47 0.99046
26.48 0.990493
26.49 0.990506
26.5 0.990534
26.51 0.990558
26.52 0.99058
26.53 0.990606
26.54 0.990626
26.55 0.990662
26.56 0.990684
26.57 0.990712
26.58 0.990742
26.59 0.990764
26.6 0.990787
26.61 0.990822
26.62 0.990851
26.63 0.990877
26.64 0.990907
26.65 0.990929
26.66 0.990956
26.67 0.990987
26.68 0.991013
26.69 0.991035
26.7 0.99106
26.71 0.991081
26.72 0.991097
26.73 0.991123
26.74 0.99115
26.75 0.991182
26.76 0.991203
26.77 0.991232
26.78 0.991258
26.79 0.991278
26.8 0.9913
26.81 0.991325
26.82 0.991354
26.83 0.991379
26.84 0.991408
26.85 0.991434
26.86 0.991458
26.87 0.991487
26.88 0.991511
26.89 0.991543
26.9 0.991565
26.91 0.991593
26.92 0.991619
26.93 0.991644
26.94 0.991663
26.95 0.991692
26.96 0.991718
26.97 0.991738
26.98 0.991766
26.99 0.99178
27 0.991793
27.01 0.991813
27.02 0.99184
27.03 0.991861
27.04 0.991884
27.05 0.991912
27.06 0.991931
27.07 0.991948
27.08 0.991979
27.09 0.992009
27.1 0.992032
27.11 0.992056
27.12 0.992092
27.13 0.992123
27.14 0.992148
27.15 0.992173
27.16 0.992192
27.17 0.992216
27.18 0.992237
27.19 0.99226
27.2 0.992285
27.21 0.992304
27.22 0.992325
27.23 0.992343
27.24 0.992363
27.25 0.992388
27.26 0.992412
27.27 0.992437
27.28 0.992456
27.29 0.992482
27.3 0.992507
27.31 0.992538
27.32 0.992558
27.33 0.992572
27.34 0.992589
27.35 0.992616
27.36 0.992639
27.37 0.992662
27.38 0.992686
27.39 0.992703
27.4 0.992719
27.41 0.992737
27.42 0.992761
27.43 0.992779
27.44 0.992799
27.45 0.992818
27.46 0.992839
27.47 0.992858
27.48 0.992877
27.49 0.992894
27.5 0.992907
27.51 0.992923
27.52 0.992942
27.53 0.992966
27.54 0.992991
27.55 0.99301
27.56 0.993027
27.57 0.993049
27.58 0.993063
27.59 0.993084
27.6 0.9931
27.61 0.99312
27.62 0.993143
27.63 0.993161
27.64 0.99318
27.65 0.99322
27.66 0.993242
27.67 0.993265
27.68 0.993284
27.69 0.993305
27.7 0.993316
27.71 0.993331
27.72 0.993357
27.73 0.993374
27.74 0.993396
27.75 0.99342
27.76 0.993437
27.77 0.993462
27.78 0.993474
27.79 0.993489
27.8 0.993503
27.81 0.993526
27.82 0.993544
27.83 0.993562
27.84 0.993583
27.85 0.993593
27.86 0.993614
27.87 0.99363
27.88 0.993647
27.89 0.993668
27.9 0.993692
27.91 0.993712
27.92 0.993732
27.93 0.993751
27.94 0.993765
27.95 0.993785
27.96 0.993808
27.97 0.993818
27.98 0.993834
27.99 0.993857
28 0.99388
28.01 0.993898
28.02 0.993917
28.03 0.993942
28.04 0.993958
28.05 0.993977
28.06 0.993994
28.07 0.994015
28.08 0.994028
28.09 0.994041
28.1 0.994056
28.11 0.994069
28.12 0.994086
28.13 0.994102
28.14 0.994118
28.15 0.994131
28.16 0.994145
28.17 0.994155
28.18 0.994182
28.19 0.994195
28.2 0.994214
28.21 0.99422
28.22 0.994233
28.23 0.994251
28.24 0.994265
28.25 0.994281
28.26 0.994297
28.27 0.994313
28.28 0.994327
28.29 0.994348
28.3 0.994358
28.31 0.99437
28.32 0.994387
28.33 0.994405
28.34 0.994426
28.35 0.994445
28.36 0.994464
28.37 0.994487
28.38 0.994495
28.39 0.994506
28.4 0.994522
28.41 0.994537
28.42 0.994548
28.43 0.994563
28.44 0.994579
28.45 0.994599
28.46 0.994614
28.47 0.994632
28.48 0.994644
28.49 0.994666
28.5 0.994676
28.51 0.994686
28.52 0.9947
28.53 0.994718
28.54 0.994731
28.55 0.994748
28.56 0.994767
28.57 0.994784
28.58 0.994808
28.59 0.994819
28.6 0.994829
28.61 0.994839
28.62 0.994858
28.63 0.994875
28.64 0.994884
28.65 0.994893
28.66 0.9949
28.67 0.994919
28.68 0.994934
28.69 0.994953
28.7 0.99497
28.71 0.994988
28.72 0.995004
28.73 0.995017
28.74 0.995032
28.75 0.995046
28.76 0.995074
28.77 0.995088
28.78 0.995098
28.79 0.995123
28.8 0.995134
28.81 0.995146
28.82 0.995159
28.83 0.995176
28.84 0.995187
28.85 0.995197
28.86 0.995213
28.87 0.995223
28.88 0.995239
28.89 0.995265
28.9 0.995281
28.91 0.995293
28.92 0.995307
28.93 0.995318
28.94 0.995329
28.95 0.995347
28.96 0.995364
28.97 0.995383
28.98 0.995387
28.99 0.995399
29 0.995412
29.01 0.995427
29.02 0.995445
29.03 0.995455
29.04 0.995463
29.05 0.995473
29.06 0.995484
29.07 0.995497
29.08 0.995515
29.09 0.995524
29.1 0.99554
29.11 0.99555
29.12 0.995559
29.13 0.99557
29.14 0.995583
29.15 0.995601
29.16 0.995611
29.17 0.995628
29.18 0.995642
29.19 0.99566
29.2 0.995671
29.21 0.99568
29.22 0.995692
29.23 0.995708
29.24 0.995722
29.25 0.995741
29.26 0.995749
29.27 0.995761
29.28 0.995775
29.29 0.995786
29.3 0.995797
29.31 0.995801
29.32 0.995815
29.33 0.995837
29.34 0.995851
29.35 0.995863
29.36 0.995878
29.37 0.99589
29.38 0.995899
29.39 0.99591
29.4 0.995925
29.41 0.995939
29.42 0.995952
29.43 0.99597
29.44 0.995984
29.45 0.996002
29.46 0.996018
29.47 0.996034
29.48 0.996043
29.49 0.99605
29.5 0.996069
29.51 0.996078
29.52 0.996085
29.53 0.996096
29.54 0.99611
29.55 0.996122
29.56 0.99613
29.57 0.996141
29.58 0.996152
29.59 0.996162
29.6 0.996174
29.61 0.996183
29.62 0.9962
29.63 0.996213
29.64 0.996224
29.65 0.99624
29.66 0.996246
29.67 0.99626
29.68 0.996278
29.69 0.996294
29.7 0.996301
29.71 0.996313
29.72 0.996332
29.73 0.996344
29.74 0.996353
29.75 0.996365
29.76 0.996377
29.77 0.996389
29.78 0.996394
29.79 0.9964
29.8 0.996412
29.81 0.996421
29.82 0.996435
29.83 0.996449
29.84 0.996461
29.85 0.996464
29.86 0.996472
29.87 0.996483
29.88 0.996499
29.89 0.996509
29.9 0.99652
29.91 0.996531
29.92 0.996541
29.93 0.996561
29.94 0.996571
29.95 0.996586
29.96 0.996599
29.97 0.996607
29.98 0.99662
29.99 0.996632
30 0.996644
30.01 0.996659
30.02 0.996671
30.03 0.996684
30.04 0.9967
30.05 0.996713
30.06 0.996722
30.07 0.996731
30.08 0.996741
30.09 0.996758
30.1 0.996762
30.11 0.996771
30.12 0.996779
30.13 0.996788
30.14 0.996799
30.15 0.996805
30.16 0.996816
30.17 0.996824
30.18 0.996829
30.19 0.996836
30.2 0.996843
30.21 0.996847
30.22 0.996857
30.23 0.996862
30.24 0.99687
30.25 0.996879
30.26 0.996888
30.27 0.996899
30.28 0.996914
30.29 0.996922
30.3 0.996926
30.31 0.996932
30.32 0.99694
30.33 0.996951
30.34 0.996959
30.35 0.996971
30.36 0.996978
30.37 0.996984
30.38 0.997004
30.39 0.997012
30.4 0.997019
30.41 0.997029
30.42 0.997038
30.43 0.997048
30.44 0.997056
30.45 0.997063
30.46 0.997071
30.47 0.99708
30.48 0.997093
30.49 0.997108
30.5 0.997112
30.51 0.99712
30.52 0.997127
30.53 0.997137
30.54 0.997144
30.55 0.997154
30.56 0.997161
30.57 0.997169
30.58 0.997176
30.59 0.997187
30.6 0.997191
30.61 0.997194
30.62 0.997204
30.63 0.997213
30.64 0.997224
30.65 0.997233
30.66 0.997244
30.67 0.997251
30.68 0.997262
30.69 0.997269
30.7 0.997279
30.71 0.99729
30.72 0.997294
30.73 0.997306
30.74 0.997318
30.75 0.997324
30.76 0.997333
30.77 0.997347
30.78 0.997353
30.79 0.997356
30.8 0.997363
30.81 0.997372
30.82 0.997377
30.83 0.997385
30.84 0.997392
30.85 0.997402
30.86 0.997412
30.87 0.997417
30.88 0.997424
30.89 0.997436
30.9 0.997447
30.91 0.997455
30.92 0.997465
30.93 0.997472
30.94 0.997477
30.95 0.997484
30.96 0.997498
30.97 0.997503
30.98 0.997518
30.99 0.997526
31 0.997538
31.01 0.997543
31.02 0.997551
31.03 0.997552
31.04 0.997557
31.05 0.997565
31.06 0.997574
31.07 0.997586
31.08 0.99759
31.09 0.997595
31.1 0.997609
31.11 0.997619
31.12 0.997625
31.13 0.997628
31.14 0.997637
31.15 0.997646
31.16 0.997654
31.17 0.997658
31.18 0.997665
31.19 0.997673
31.2 0.997675
31.21 0.997682
31.22 0.997695
31.23 0.997705
31.24 0.997711
31.25 0.997715
31.26 0.997721
31.27 0.997728
31.28 0.997732
31.29 0.997743
31.3 0.997751
31.31 0.997757
31.32 0.997767
31.33 0.997772
31.34 0.997779
31.35 0.997784
31.36 0.997791
31.37 0.997793
31.38 0.997802
31.39 0.997808
31.4 0.997814
31.41 0.997819
31.42 0.997825
31.43 0.99783
31.44 0.997833
31.45 0.99784
31.46 0.997844
31.47 0.99785
31.48 0.997857
31.49 0.997868
31.5 0.997869
31.51 0.99787
31.52 0.997873
31.53 0.997875
31.54 0.997879
31.55 0.997886
31.56 0.997891
31.57 0.997893
31.58 0.997895
31.59 0.997903
31.6 0.997905
31.61 0.997913
31.62 0.997923
31.63 0.997929
31.64 0.997931
31.65 0.997936
31.66 0.997938
31.67 0.997945
31.68 0.997952
31.69 0.997956
31.7 0.99796
31.71 0.997965
31.72 0.997968
31.73 0.997978
31.74 0.997983
31.75 0.997988
31.76 0.997993
31.77 0.997999
31.78 0.99801
31.79 0.998019
31.8 0.998025
31.81 0.998032
31.82 0.998036
31.83 0.998041
31.84 0.998049
31.85 0.998057
31.86 0.998063
31.87 0.998068
31.88 0.998078
31.89 0.998086
31.9 0.998091
31.91 0.998096
31.92 0.998102
31.93 0.998107
31.94 0.998116
31.95 0.99812
31.96 0.998126
31.97 0.998132
31.98 0.998138
31.99 0.998141
32 0.99815
32.01 0.99816
32.02 0.998167
32.03 0.998175
32.04 0.998179
32.05 0.998182
32.06 0.998184
32.07 0.998188
32.08 0.998193
32.09 0.998198
32.1 0.998207
32.11 0.99821
32.12 0.998213
32.13 0.998219
32.14 0.998226
32.15 0.998232
32.16 0.998236
32.17 0.998238
32.18 0.998242
32.19 0.998244
32.2 0.998249
32.21 0.998255
32.22 0.998262
32.23 0.998271
32.24 0.998276
32.25 0.99828
32.26 0.998287
32.27 0.998292
32.28 0.998302
32.29 0.998308
32.3 0.998316
32.31 0.998321
32.32 0.998327
32.33 0.998328
32.34 0.998337
32.35 0.998343
32.36 0.998347
32.37 0.99835
32.38 0.998355
32.39 0.998358
32.4 0.998364
32.41 0.998368
32.42 0.998371
32.43 0.998377
32.44 0.998382
32.45 0.998391
32.46 0.998395
32.47 0.998402
32.48 0.99841
32.49 0.998415
32.5 0.998418
32.51 0.998423
32.52 0.998427
32.53 0.998431
32.54 0.998438
32.55 0.99844
32.56 0.998445
32.57 0.998447
32.58 0.998453
32.59 0.998458
32.6 0.998462
32.61 0.998465
32.62 0.998467
32.63 0.998475
32.64 0.998482
32.65 0.998485
32.66 0.998489
32.67 0.998494
32.68 0.998495
32.69 0.9985
32.7 0.998503
32.71 0.998507
32.72 0.99851
32.73 0.998524
32.74 0.998527
32.75 0.998531
32.76 0.998535
32.77 0.998539
32.78 0.998542
32.79 0.998545
32.8 0.998549
32.81 0.998554
32.82 0.998561
32.83 0.998563
32.84 0.998565
32.85 0.998569
32.86 0.998573
32.87 0.998577
32.88 0.998582
32.89 0.998586
32.9 0.998592
32.91 0.998603
32.92 0.998605
32.93 0.998608
32.94 0.998611
32.95 0.998615
32.96 0.998618
32.97 0.998624
32.98 0.998628
32.99 0.998633
33 0.998638
33.01 0.998639
33.02 0.998642
33.03 0.998645
33.04 0.998651
33.05 0.998653
33.06 0.998656
33.07 0.99866
33.08 0.998664
33.09 0.99867
33.1 0.998676
33.11 0.998683
33.12 0.998686
33.13 0.998691
33.14 0.998698
33.15 0.998702
33.16 0.998706
33.17 0.998711
33.18 0.998712
33.19 0.998717
33.2 0.998721
33.21 0.998724
33.22 0.998729
33.23 0.998738
33.24 0.998749
33.25 0.998756
33.26 0.998759
33.27 0.998763
33.28 0.998766
33.29 0.998771
33.3 0.998773
33.31 0.998776
33.32 0.998784
33.33 0.998789
33.34 0.99879
33.35 0.998793
33.36 0.998797
33.37 0.9988
33.38 0.998804
33.39 0.998807
33.4 0.998811
33.41 0.998815
33.42 0.998818
33.43 0.998822
33.44 0.998823
33.45 0.998826
33.46 0.99883
33.47 0.998836
33.48 0.998843
33.49 0.998847
33.5 0.998853
33.51 0.998858
33.52 0.998863
33.53 0.998868
33.54 0.998871
33.55 0.998876
33.56 0.99888
33.57 0.998886
33.58 0.998893
33.59 0.998897
33.6 0.998902
33.61 0.998904
33.62 0.998907
33.63 0.998909
33.64 0.998913
33.65 0.998917
33.66 0.998921
33.67 0.998926
33.68 0.998929
33.69 0.998934
33.7 0.998939
33.71 0.998946
33.72 0.99895
33.73 0.998956
33.74 0.99896
33.75 0.998963
33.76 0.998968
33.77 0.998968
33.78 0.998972
33.79 0.998974
33.8 0.998975
33.81 0.998977
33.82 0.998981
33.83 0.998981
33.84 0.998981
33.85 0.998983
33.86 0.998985
33.87 0.998994
33.88 0.999001
33.89 0.999003
33.9 0.999006
33.91 0.999012
33.92 0.999013
33.93 0.999018
33.94 0.99902
33.95 0.999022
33.96 0.999028
33.97 0.999031
33.98 0.999032
33.99 0.999035
34 0.999039
34.01 0.999042
34.02 0.999046
34.03 0.999048
34.04 0.999056
34.05 0.999062
34.06 0.999063
34.07 0.999067
34.08 0.99907
34.09 0.999072
34.1 0.999073
34.11 0.999079
34.12 0.99908
34.13 0.999083
34.14 0.999083
34.15 0.99909
34.16 0.999091
34.17 0.999093
34.18 0.999096
34.19 0.999097
34.2 0.999101
34.21 0.999103
34.22 0.999106
34.23 0.999109
34.24 0.999112
34.25 0.999113
34.26 0.999115
34.27 0.999116
34.28 0.999121
34.29 0.999124
34.3 0.999126
34.31 0.99913
34.32 0.999131
34.33 0.999133
34.34 0.999135
34.35 0.999135
34.36 0.999138
34.37 0.999142
34.38 0.999144
34.39 0.999152
34.4 0.999154
34.41 0.999157
34.42 0.999162
34.43 0.999162
34.44 0.999165
34.45 0.999166
34.46 0.99917
34.47 0.99917
34.48 0.999173
34.49 0.999175
34.5 0.999178
34.51 0.99918
34.52 0.999183
34.53 0.999186
34.54 0.99919
34.55 0.999193
34.56 0.999194
34.57 0.999198
34.58 0.9992
34.59 0.999204
34.6 0.999209
34.61 0.999213
34.62 0.999215
34.63 0.999216
34.64 0.99922
34.65 0.99922
34.66 0.999223
34.67 0.999223
34.68 0.999225
34.69 0.999228
34.7 0.999229
34.71 0.999232
34.72 0.999236
34.73 0.999239
34.74 0.999241
34.75 0.999243
34.76 0.999248
34.77 0.999253
34.78 0.999258
34.79 0.99926
34.8 0.99926
34.81 0.999262
34.82 0.999262
34.83 0.999264
34.84 0.999265
34.85 0.999267
34.86 0.999268
34.87 0.99927
34.88 0.999273
34.89 0.999273
34.9 0.99928
34.91 0.999282
34.92 0.999282
34.93 0.999283
34.94 0.999286
34.95 0.999291
34.96 0.999295
34.97 0.999296
34.98 0.999297
34.99 0.999299
35 0.999301
# Data from http://onlinelibrary.wiley.com/doi/10.1111/jsm.12244/abstract
stats = read.csv("herbenick_hist.csv", header=T)
x = seq(1, 26, 1)
len_x = dnorm(x, 14.15, 2.66)
girth_x = dnorm(x, 12.23, 2.23)
hung_len = dnorm(x, 14.63, 2.11)
hung_girth = dnorm(x, 11.86, 1.37)
# convert cm to in
x = x * 0.393701
plot(stats[,1], stats[,2]/100, type="l", col="blue", xlim = c(0,29), ylim=c(0,.3), xlab="Inches", ylab="Percent", main="Penis measurements in Herbenick et al vs hungfun charts")
lines(x,len_x, type="l", lty=2, col="blue")
lines(x,hung_len, type="l", lty=3, col="blue")
lines(stats[,1],stats[,3]/100, type="l", col="red")
lines(x, girth_x, type="l", col="red", lty=2)
lines(x,hung_girth, type="l", lty=3, col="red")
legend("topright", c("observed length", "fit length", "hungfun length", "observed girth", "fit girth", "hungfun girth"), col=c(rep("blue", 3), rep("red", 3)), lty = c(1,2,3,1,2,3))
length girth percentile
2 2 3.32643217382245e-06
2 2.1 3.91335604821297e-06
2 2.2 5.32841389477845e-06
2 2.3 8.6244994236262e-06
2 2.4 1.60423544989241e-05
2 2.5 3.21723196836654e-05
2 2.6 6.60629597408757e-05
2 2.7 0.000134869597320453
2 2.8 0.00026985769986676
2 2.9 0.000525765453806892
2 3 0.000994579496123804
2 3.1 0.00182452956232027
2 3.2 0.00324437579753345
2 3.3 0.00559169178690866
2 3.4 0.00934180923979944
2 3.5 0.0151316001015954
2 3.6 0.0237698701636868
2 3.7 0.0362246901360261
2 3.8 0.0535785285846573
2 3.9 0.0769454517663223
2 4 0.107351202635543
2 4.1 0.145585965220638
2 4.2 0.192049227495453
2 4.3 0.246613674783241
2 4.4 0.308537627283727
2 4.5 0.376451185588277
2 4.6 0.448429761968168
2 4.7 0.522152082473226
2 4.8 0.595121979452526
2 4.9 0.66491909383451
2 5 0.729436990369566
2 5.1 0.787070082358
2 5.2 0.836822319511095
2 5.3 0.878327495686041
2 5.4 0.911788643717757
2 5.5 0.937857880095829
2 5.6 0.957485364627555
2 5.7 0.971766074551518
2 5.8 0.981807230814363
2 5.9 0.988630089512672
2 6 0.993110292550239
2 6.1 0.995953297542959
2 6.2 0.997696733868332
2 6.3 0.998729930616227
2 6.4 0.99932163987882
2 6.5 0.999649117798533
2 6.6 0.999824265286132
2 6.7 0.99991479141443
2 6.8 0.999960007403315
2 6.9 0.999981832595431
2 7 0.999992013162518
2 7.1 0.999996602326875
2 7.2 0.999998601465406
2 7.3 0.999999443053706
2 7.4 0.999999785430161
2 7.5 0.999999920033357
2 7.6 0.999999971172566
2 7.7 0.999999989948419
2 7.8 0.999999996610228
2 7.9 0.999999998894414
2 8 0.999999999651277
2.1 2 5.55483041586591e-06
2.1 2.1 6.14043772972916e-06
2.1 2.2 7.55301610877446e-06
2.1 2.3 1.08446300853826e-05
2.1 2.4 1.82547629655749e-05
2.1 2.5 3.43719577091672e-05
2.1 2.6 6.82423743805227e-05
2.1 2.7 0.000137018344006368
2.1 2.8 0.000271961911823881
2.1 2.9 0.000527807736486197
2.1 3 0.000996539312504652
2.1 3.1 0.00182638422117687
2.1 3.2 0.00324610204970488
2.1 3.3 0.00559326789147585
2.1 3.4 0.0093432172192075
2.1 3.5 0.0151328278080514
2.1 3.6 0.0237709127677597
2.1 3.7 0.0362255507377344
2.1 3.8 0.0535792178199855
2.1 3.9 0.0769459864912337
2.1 4 0.107351603955052
2.1 4.1 0.145586256240901
2.1 4.2 0.192049431187402
2.1 4.3 0.246613812265596
2.1 4.4 0.308537716696535
2.1 4.5 0.376451241581405
2.1 4.6 0.448429795711934
2.1 4.7 0.522152102032435
2.1 4.8 0.595121990352158
2.1 4.9 0.664919099671697
2.1 5 0.72943699337271
2.1 5.1 0.787070083841875
2.1 5.2 0.836822320215059
2.1 5.3 0.878327496006618
2.1 5.4 0.911788643857861
2.1 5.5 0.937857880154582
2.1 5.6 0.957485364651191
2.1 5.7 0.971766074560639
2.1 5.8 0.981807230817739
2.1 5.9 0.98863008951387
2.1 6 0.993110292550647
2.1 6.1 0.995953297543092
2.1 6.2 0.997696733868374
2.1 6.3 0.998729930616239
2.1 6.4 0.999321639878824
2.1 6.5 0.999649117798534
2.1 6.6 0.999824265286132
2.1 6.7 0.99991479141443
2.1 6.8 0.999960007403315
2.1 6.9 0.999981832595431
2.1 7 0.999992013162518
2.1 7.1 0.999996602326875
2.1 7.2 0.999998601465406
2.1 7.3 0.999999443053706
2.1 7.4 0.999999785430161
2.1 7.5 0.999999920033357
2.1 7.6 0.999999971172566
2.1 7.7 0.999999989948419
2.1 7.8 0.999999996610228
2.1 7.9 0.999999998894414
2.1 8 0.999999999651277
2.2 2 9.3435874343184e-06
2.2 2.1 9.92735793625688e-06
2.2 2.2 1.13364319672682e-05
2.2 2.3 1.46216437029167e-05
2.2 2.4 2.20205760338432e-05
2.2 2.5 3.81190066113257e-05
2.2 2.6 7.19593208212688e-05
2.2 2.7 0.000140689046203679
2.2 2.8 0.000275564584658494
2.2 2.9 0.000531314575614061
2.2 3 0.000999916873987261
2.2 3.1 0.00182959478440792
2.2 3.2 0.00324910603504824
2.2 3.3 0.00559602717386221
2.2 3.4 0.00934569892801396
2.2 3.5 0.0151350080076411
2.2 3.6 0.0237727793452653
2.2 3.7 0.0362271049258565
2.2 3.8 0.0535804740402103
2.2 3.9 0.076946970550235
2.2 4 0.107352349964949
2.2 4.1 0.14558680286678
2.2 4.2 0.192049817895203
2.2 4.3 0.24661407614801
2.2 4.4 0.30853789024271
2.2 4.5 0.376451351503863
2.2 4.6 0.448429862724329
2.2 4.7 0.522152141331914
2.2 4.8 0.595122012512533
2.2 4.9 0.664919111681823
2.2 5 0.729436999626479
2.2 5.1 0.787070086969556
2.2 5.2 0.836822321717054
2.2 5.3 0.878327496699043
2.2 5.4 0.911788644164227
2.2 5.5 0.937857880284655
2.2 5.6 0.957485364704174
2.2 5.7 0.971766074581342
2.2 5.8 0.981807230825497
2.2 5.9 0.988630089516658
2.2 6 0.993110292551608
2.2 6.1 0.995953297543409
2.2 6.2 0.997696733868474
2.2 6.3 0.99872993061627
2.2 6.4 0.999321639878833
2.2 6.5 0.999649117798536
2.2 6.6 0.999824265286133
2.2 6.7 0.999914791414431
2.2 6.8 0.999960007403315
2.2 6.9 0.999981832595431
2.2 7 0.999992013162518
2.2 7.1 0.999996602326875
2.2 7.2 0.999998601465406
2.2 7.3 0.999999443053706
2.2 7.4 0.999999785430161
2.2 7.5 0.999999920033357
2.2 7.6 0.999999971172566
2.2 7.7 0.999999989948419
2.2 7.8 0.999999996610228
2.2 7.9 0.999999998894414
2.2 8 0.999999999651277
2.3 2 1.56924351946142e-05
2.3 2.1 1.62736896968108e-05
2.3 2.2 1.76779010216954e-05
2.3 2.3 2.09541130631319e-05
2.3 2.4 2.83370954224926e-05
2.3 2.5 4.44084568462788e-05
2.3 2.6 7.82047792086127e-05
2.3 2.7 0.00014686604211267
2.3 2.8 0.000281639553347812
2.3 2.9 0.000537243943884991
2.3 3 0.00100564727004593
2.3 3.1 0.00183506480170348
2.3 3.2 0.00325424976360011
2.3 3.3 0.00560077935704828
2.3 3.4 0.00935000118052842
2.3 3.5 0.0151388151604546
2.3 3.6 0.0237760647951129
2.3 3.7 0.0362298639494547
2.3 3.8 0.0535827243947102
2.3 3.9 0.0769487502344862
2.3 4 0.107353712605384
2.3 4.1 0.145587811648309
2.3 4.2 0.192050539160724
2.3 4.3 0.246614573707694
2.3 4.4 0.308538221125304
2.3 4.5 0.376451563465685
2.3 4.6 0.448429993436286
2.3 4.7 0.522152218885635
2.3 4.8 0.595122056761873
2.3 4.9 0.664919135950272
2.3 5 0.729437012415745
2.3 5.1 0.787070093443589
2.3 5.2 0.836822324864107
2.3 5.3 0.878327498167705
2.3 5.4 0.911788644822083
2.3 5.5 0.937857880567431
2.3 5.6 0.957485364820796
2.3 5.7 0.971766074627481
2.3 5.8 0.981807230843006
2.3 5.9 0.98863008952303
2.3 6 0.993110292553832
2.3 6.1 0.995953297544154
2.3 6.2 0.997696733868713
2.3 6.3 0.998729930616343
2.3 6.4 0.999321639878854
2.3 6.5 0.999649117798542
2.3 6.6 0.999824265286134
2.3 6.7 0.999914791414431
2.3 6.8 0.999960007403315
2.3 6.9 0.999981832595431
2.3 7 0.999992013162518
2.3 7.1 0.999996602326875
2.3 7.2 0.999998601465406
2.3 7.3 0.999999443053706
2.3 7.4 0.999999785430161
2.3 7.5 0.999999920033357
2.3 7.6 0.999999971172566
2.3 7.7 0.999999989948419
2.3 7.8 0.999999996610228
2.3 7.9 0.999999998894414
2.3 8 0.999999999651277
2.4 2 2.61779286231389e-05
2.4 2.1 2.67557995299317e-05
2.4 2.2 2.81533860838623e-05
2.4 2.3 3.1417177441484e-05
2.4 2.4 3.87778599197919e-05
2.4 2.5 5.48108822232551e-05
2.4 2.6 8.85440849548447e-05
2.4 2.7 0.000157105837196414
2.4 2.8 0.000291729118050199
2.4 2.9 0.000547116323987185
2.4 3 0.00101521898471868
2.4 3.1 0.00184423793108568
2.4 3.2 0.00326291690241332
2.4 3.3 0.00560883139401913
2.4 3.4 0.00935733718103648
2.4 3.5 0.0151453529700191
2.4 3.6 0.0237817505606648
2.4 3.7 0.036234678749706
2.4 3.8 0.0535866866382626
2.4 3.9 0.0769519133262552
2.4 4 0.107356158367415
2.4 4.1 0.145589640826807
2.4 4.2 0.192051860824688
2.4 4.3 0.246615495345437
2.4 4.4 0.308538840829219
2.4 4.5 0.376451964937648
2.4 4.6 0.448430243862658
2.4 4.7 0.522152369201236
2.4 4.8 0.595122143539045
2.4 4.9 0.664919184110766
2.4 5 0.729437038101432
2.4 5.1 0.787070106603648
2.4 5.2 0.836822331339413
2.4 5.3 0.878327501226734
2.4 5.4 0.911788646209239
2.4 5.5 0.937857881171095
2.4 5.6 0.957485365072862
2.4 5.7 0.971766074728455
2.4 5.8 0.981807230881804
2.4 5.9 0.988630089537328
2.4 6 0.993110292558885
2.4 6.1 0.995953297545866
2.4 6.2 0.997696733869269
2.4 6.3 0.998729930616517
2.4 6.4 0.999321639878906
2.4 6.5 0.999649117798557
2.4 6.6 0.999824265286138
2.4 6.7 0.999914791414432
2.4 6.8 0.999960007403315
2.4 6.9 0.999981832595431
2.4 7 0.999992013162518
2.4 7.1 0.999996602326875
2.4 7.2 0.999998601465406
2.4 7.3 0.999999443053706
2.4 7.4 0.999999785430161
2.4 7.5 0.999999920033357
2.4 7.6 0.999999971172566
2.4 7.7 0.999999989948419
2.4 7.8 0.999999996610228
2.4 7.9 0.999999998894414
2.4 8 0.999999999651277
2.5 2 4.32458239528755e-05
2.5 2.1 4.38192273209959e-05
2.5 2.2 4.52079528139304e-05
2.5 2.3 4.84549141253066e-05
2.5 2.4 5.57849863290771e-05
2.5 2.5 7.17646958122709e-05
2.5 2.6 0.000105408982780331
2.5 2.7 0.00017382872837135
2.5 2.8 0.00030823482835951
2.5 2.9 0.000563303968105
2.5 3 0.00103096056538377
2.5 3.1 0.00185938046729284
2.5 3.2 0.00327728905891755
2.5 3.3 0.00562225483928591
2.5 3.4 0.00936964184100286
2.5 3.5 0.0151563942238022
2.5 3.6 0.0237914255875965
2.5 3.7 0.0362429390053831
2.5 3.8 0.0535935439728741
2.5 3.9 0.0769574384780175
2.5 4 0.107360472145833
2.5 4.1 0.145592899791604
2.5 4.2 0.19205424024676
2.5 4.3 0.246617172469252
2.5 4.4 0.308539980958819
2.5 4.5 0.376452711878656
2.5 4.6 0.448430715117234
2.5 4.7 0.522152655353023
2.5 4.8 0.595122310678086
2.5 4.9 0.664919277974638
2.5 5 0.729437088763404
2.5 5.1 0.78707013287452
2.5 5.2 0.836822344423399
2.5 5.3 0.878327507483635
2.5 5.4 0.911788649081517
2.5 5.5 0.937857882436553
2.5 5.6 0.957485365607844
2.5 5.7 0.971766074945439
2.5 5.8 0.981807230966225
2.5 5.9 0.98863008956883
2.5 6 0.993110292570158
2.5 6.1 0.995953297549734
2.5 6.2 0.997696733870542
2.5 6.3 0.998729930616918
2.5 6.4 0.999321639879027
2.5 6.5 0.999649117798592
2.5 6.6 0.999824265286148
2.5 6.7 0.999914791414435
2.5 6.8 0.999960007403316
2.5 6.9 0.999981832595431
2.5 7 0.999992013162518
2.5 7.1 0.999996602326875
2.5 7.2 0.999998601465406
2.5 7.3 0.999999443053706
2.5 7.4 0.999999785430161
2.5 7.5 0.999999920033357
2.5 7.6 0.999999971172566
2.5 7.7 0.999999989948419
2.5 7.8 0.999999996610228
2.5 7.9 0.999999998894414
2.5 8 0.999999999651277
2.6 2 7.06280867002196e-05
2.6 2.1 7.11956987131668e-05
2.6 2.2 7.25727876994542e-05
2.6 2.3 7.57973593694672e-05
2.6 2.4 8.3086178723768e-05
2.6 2.5 9.89931029816704e-05
2.6 2.6 0.000132514415429164
2.6 2.7 0.00020073519916386
2.6 2.8 0.000334833046070404
2.6 2.9 0.000589444857521104
2.6 3 0.00105645172636748
2.6 3.1 0.00188398769613018
2.6 3.2 0.0033007447204435
2.6 3.3 0.00564427387671229
2.6 3.4 0.0093899446288328
2.6 3.5 0.0151747336455701
2.6 3.6 0.0238076141813773
2.6 3.7 0.0362568713156531
2.6 3.8 0.0536052097333626
2.6 3.9 0.0769669239174214
2.6 4 0.107367949143528
2.6 4.1 0.145598605124465
2.6 4.2 0.192058449042776
2.6 4.3 0.246620170732016
2.6 4.4 0.308542041552864
2.6 4.5 0.376454076959391
2.6 4.6 0.448431586177791
2.6 4.7 0.522153190392098
2.6 4.8 0.595122626854134
2.6 4.9 0.664919457641893
2.6 5 0.729437186898006
2.6 5.1 0.787070184377007
2.6 5.2 0.836822370385879
2.6 5.3 0.878327520051223
2.6 5.4 0.911788654921827
2.6 5.5 0.937857885041513
2.6 5.6 0.957485366722808
2.6 5.7 0.971766075403305
2.6 5.8 0.981807231146595
2.6 5.9 0.988630089636982
2.6 6 0.993110292594853
2.6 6.1 0.995953297558315
2.6 6.2 0.997696733873401
2.6 6.3 0.998729930617831
2.6 6.4 0.999321639879307
2.6 6.5 0.999649117798674
2.6 6.6 0.999824265286171
2.6 6.7 0.999914791414441
2.6 6.8 0.999960007403317
2.6 6.9 0.999981832595431
2.6 7 0.999992013162519
2.6 7.1 0.999996602326875
2.6 7.2 0.999998601465406
2.6 7.3 0.999999443053706
2.6 7.4 0.999999785430161
2.6 7.5 0.999999920033357
2.6 7.6 0.999999971172566
2.6 7.7 0.999999989948419
2.6 7.8 0.999999996610228
2.6 7.9 0.999999998894414
2.6 8 0.999999999651277
2.7 2 0.000113925096177359
2.7 2.1 0.000114485337399217
2.7 2.2 0.000115847423267312
2.7 2.3 0.000119042751325571
2.7 2.4 0.00012627698701051
2.7 2.5 0.000142086350129245
2.7 2.6 0.00017544067906794
2.7 2.7 0.000243387776514226
2.7 2.8 0.00037705607178562
2.7 2.9 0.000631022287398308
2.7 3 0.0010970999990515
2.7 3.1 0.00192335540597477
2.7 3.2 0.00333842239443249
2.7 3.3 0.005679815683023
2.7 3.4 0.00942290157984405
2.7 3.5 0.0152046950115624
2.7 3.6 0.023834251167641
2.7 3.7 0.0362799754682518
2.7 3.8 0.0536247187165572
2.7 3.9 0.0769829294247202
2.7 4 0.107380685292645
2.7 4.1 0.145608419749686
2.7 4.2 0.192065763668531
2.7 4.3 0.246625436773321
2.7 4.4 0.308545700093183
2.7 4.5 0.376456527596963
2.7 4.6 0.448433167662942
2.7 4.7 0.522154172992745
2.7 4.8 0.595123214294535
2.7 4.9 0.664919795400813
2.7 5 0.729437373585547
2.7 5.1 0.787070283533793
2.7 5.2 0.836822420977862
2.7 5.3 0.878327544840524
2.7 5.4 0.911788666583381
2.7 5.5 0.937857890307229
2.7 5.6 0.957485369004611
2.7 5.7 0.971766076352026
2.7 5.8 0.981807231525009
2.7 5.9 0.98863008978176
2.7 6 0.993110292647977
2.7 6.1 0.995953297577007
2.7 6.2 0.997696733879707
2.7 6.3 0.998729930619871
2.7 6.4 0.99932163987994
2.7 6.5 0.999649117798862
2.7 6.6 0.999824265286225
2.7 6.7 0.999914791414455
2.7 6.8 0.999960007403321
2.7 6.9 0.999981832595432
2.7 7 0.999992013162519
2.7 7.1 0.999996602326875
2.7 7.2 0.999998601465406
2.7 7.3 0.999999443053706
2.7 7.4 0.999999785430161
2.7 7.5 0.999999920033357
2.7 7.6 0.999999971172566
2.7 7.7 0.999999989948419
2.7 7.8 0.999999996610228
2.7 7.9 0.999999998894414
2.7 8 0.999999999651277
2.8 2 0.000181400649642893
2.8 2.1 0.000181951680644388
2.8 2.2 0.000183294774872444
2.8 2.3 0.000186452602442655
2.8 2.4 0.000193615930402125
2.8 2.5 0.000209296903119216
2.8 2.6 0.000242428617224677
2.8 2.7 0.000310006092226423
2.8 2.8 0.000443086701406692
2.8 2.9 0.000696158138676517
2.8 3 0.00116093127665529
2.8 3.1 0.00198536528513815
2.8 3.2 0.00339799712981215
2.8 3.3 0.00573627276637501
2.8 3.4 0.00947553645689658
2.8 3.5 0.0152528425988249
2.8 3.6 0.0238773540279491
2.8 3.7 0.0363176473911343
2.8 3.8 0.0536567918319151
2.8 3.9 0.0770094754074392
2.8 4 0.107402006256783
2.8 4.1 0.145625010733057
2.8 4.2 0.192078254362978
2.8 4.3 0.24663452375386
2.8 4.4 0.308552081402125
2.8 4.5 0.376460849317257
2.8 4.6 0.448435988077361
2.8 4.7 0.52215594545594
2.8 4.8 0.595124286277253
2.8 4.9 0.664920419016201
2.8 5 0.729437722376903
2.8 5.1 0.787070471016322
2.8 5.2 0.836822517794471
2.8 5.3 0.878327592857972
2.8 5.4 0.911788689449393
2.8 5.5 0.937857900759713
2.8 5.6 0.957485373590185
2.8 5.7 0.971766078282352
2.8 5.8 0.981807232304582
2.8 5.9 0.988630090083759
2.8 6 0.993110292760184
2.8 6.1 0.995953297616988
2.8 6.2 0.997696733893367
2.8 6.3 0.998729930624346
2.8 6.4 0.999321639881345
2.8 6.5 0.999649117799285
2.8 6.6 0.999824265286347
2.8 6.7 0.999914791414489
2.8 6.8 0.99996000740333
2.8 6.9 0.999981832595434
2.8 7 0.999992013162519
2.8 7.1 0.999996602326875
2.8 7.2 0.999998601465406
2.8 7.3 0.999999443053706
2.8 7.4 0.999999785430161
2.8 7.5 0.999999920033357
2.8 7.6 0.999999971172566
2.8 7.7 0.999999989948419
2.8 7.8 0.999999996610228
2.8 7.9 0.999999998894414
2.8 8 0.999999999651277
2.9 2 0.000285042616633091
2.9 2.1 0.000285582348428348
2.9 2.2 0.000286901839752551
2.9 2.3 0.000290012453966981
2.9 2.4 0.000297085344866721
2.9 2.5 0.000312600431361831
2.9 2.6 0.000345440767514082
2.9 2.7 0.000412528141376045
2.9 2.8 0.000544819349800107
2.9 2.9 0.000796673221659439
2.9 3 0.00125964802657763
2.9 3.1 0.00208153853864412
2.9 3.2 0.00349072549294061
2.9 3.3 0.00582453323361598
2.9 3.4 0.00955824793188664
2.9 3.5 0.0153289546094295
2.9 3.6 0.0239459500379473
2.9 3.7 0.0363780465224971
2.9 3.8 0.0537086305682231
2.9 3.9 0.077052753178701
2.9 4 0.107437085512001
2.9 4.1 0.145652571485365
2.9 4.2 0.192099212575017
2.9 4.3 0.246649929648712
2.9 4.4 0.308563016129418
2.9 4.5 0.376468336173439
2.9 4.6 0.448440928898251
2.9 4.7 0.52215908590984
2.9 4.8 0.595126207627076
2.9 4.9 0.664921549863017
2.9 5 0.72943836237333
2.9 5.1 0.787070819150802
2.9 5.2 0.836822699745265
2.9 5.3 0.878327684197604
2.9 5.4 0.911788733478557
2.9 5.5 0.937857921134322
2.9 5.6 0.957485382639377
2.9 5.7 0.97176608213906
2.9 5.8 0.98180723388159
2.9 5.9 0.988630090702336
2.9 6 0.993110292992904
2.9 6.1 0.995953297700953
2.9 6.2 0.997696733922417
2.9 6.3 0.998729930633982
2.9 6.4 0.999321639884409
2.9 6.5 0.99964911780022
2.9 6.6 0.99982426528662
2.9 6.7 0.999914791414566
2.9 6.8 0.999960007403351
2.9 6.9 0.99998183259544
2.9 7 0.999992013162521
2.9 7.1 0.999996602326876
2.9 7.2 0.999998601465406
2.9 7.3 0.999999443053706
2.9 7.4 0.999999785430161
2.9 7.5 0.999999920033357
2.9 7.6 0.999999971172566
2.9 7.7 0.999999989948419
2.9 7.8 0.999999996610228
2.9 7.9 0.999999998894414
2.9 8 0.999999999651277
3 2 0.000441943724327154
3 2.1 0.000442469846443472
3 2.2 0.000443760537904181
3 2.3 0.000446812792175399
3 2.4 0.000453772437467359
3 2.5 0.000469077092758785
3 2.6 0.000501542989672199
3 2.7 0.0005679923422377
3 2.8 0.000699242500258324
3 2.9 0.000949469732897557
3 3 0.00141001068813706
3 3.1 0.00222841397970375
3 3.2 0.00363281630447843
3 3.3 0.00596033766613502
3 3.4 0.00968614309759264
3 3.5 0.0154473205985683
3 3.6 0.0240533219682274
3 3.7 0.0364732721440161
3 3.8 0.0537910058627796
3 3.9 0.0771221097721894
3 4 0.107493812064834
3 4.1 0.145697564595778
3 4.2 0.192133767386657
3 4.3 0.246675592090017
3 4.4 0.308581424382017
3 4.5 0.3764810775517
3 4.6 0.448449431098394
3 4.7 0.522164551402171
3 4.8 0.595129590031943
3 4.9 0.664923563924656
3 5 0.729439515707817
3 5.1 0.787071454021135
3 5.2 0.836823035558173
3 5.3 0.878327854824639
3 5.4 0.911788816733346
3 5.5 0.937857960134737
3 5.6 0.957485400175292
3 5.7 0.97176608970562
3 5.8 0.98180723701416
3 5.9 0.988630091946463
3 6 0.993110293466849
3 6.1 0.995953297874107
3 6.2 0.997696733983081
3 6.3 0.998729930654361
3 6.4 0.999321639890973
3 6.5 0.999649117802246
3 6.6 0.99982426528722
3 6.7 0.999914791414736
3 6.8 0.999960007403397
3 6.9 0.999981832595452
3 7 0.999992013162524
3 7.1 0.999996602326876
3 7.2 0.999998601465407
3 7.3 0.999999443053706
3 7.4 0.999999785430161
3 7.5 0.999999920033357
3 7.6 0.999999971172566
3 7.7 0.999999989948419
3 7.8 0.999999996610228
3 7.9 0.999999998894414
3 8 0.999999999651277
3.1 2 0.00067605265648929
3.1 2.1 0.000676562684389981
3.1 2.2 0.000677818874392777
3.1 2.3 0.000680800303613838
3.1 2.4 0.000687620723544557
3.1 2.5 0.000702663299953277
3.1 2.6 0.000734656777061748
3.1 2.7 0.000800290662000491
3.1 2.8 0.000930192887749537
3.1 2.9 0.00117828652393936
3.1 3 0.00163559348314057
3.1 3.1 0.00244930270211308
3.1 3.2 0.00384718058538236
3.1 3.3 0.00616601793936256
3.1 3.4 0.00988075508273734
3.1 3.5 0.0156284235533423
3.1 3.6 0.0242186360392805
3.1 3.7 0.0366209151696661
3.1 3.8 0.0539197099052685
3.1 3.9 0.077231376570541
3.1 4 0.107583976093377
3.1 4.1 0.145769750614715
3.1 4.2 0.192189751337036
3.1 4.3 0.246717593603098
3.1 4.4 0.308611870659473
3.1 4.5 0.376502379366699
3.1 4.6 0.448463803109667
3.1 4.7 0.522173894583161
3.1 4.8 0.595135438623035
3.1 4.9 0.664927087057547
3.1 5 0.729441556992166
3.1 5.1 0.787072591069221
3.1 5.2 0.836823644230729
3.1 5.3 0.878328167841677
3.1 5.4 0.911788971329796
3.1 5.5 0.937858033444502
3.1 5.6 0.957485433544955
3.1 5.7 0.971766104282951
3.1 5.8 0.98180724312441
3.1 5.9 0.988630094403559
3.1 6 0.993110294414617
3.1 6.1 0.99595329822473
3.1 6.2 0.99769673410747
3.1 6.3 0.998729930696675
3.1 6.4 0.999321639904774
3.1 6.5 0.999649117806561
3.1 6.6 0.999824265288513
3.1 6.7 0.999914791415108
3.1 6.8 0.999960007403499
3.1 6.9 0.999981832595479
3.1 7 0.999992013162531
3.1 7.1 0.999996602326878
3.1 7.2 0.999998601465407
3.1 7.3 0.999999443053706
3.1 7.4 0.999999785430161
3.1 7.5 0.999999920033357
3.1 7.6 0.999999971172566
3.1 7.7 0.999999989948419
3.1 7.8 0.999999996610228
3.1 7.9 0.999999998894414
3.1 8 0.999999999651277
3.2 2 0.00102033276383717
3.2 2.1 0.00102082410584881
3.2 2.2 0.00102203971637072
3.2 2.3 0.00102493675754056
3.2 2.4 0.00103158912790602
3.2 2.5 0.00104631124272414
3.2 2.6 0.00107771952980529
3.2 2.7 0.00114233012089748
3.2 2.8 0.00127051883727891
3.2 2.9 0.0015158648613316
3.2 3 0.00196895284188103
3.2 3.1 0.00277645848192731
3.2 3.2 0.0041656014138618
3.2 3.3 0.00647266102792476
3.2 3.4 0.0101721910570768
3.2 3.5 0.0159010570488783
3.2 3.6 0.024469007394313
3.2 3.7 0.0368460457726549
3.2 3.8 0.0541174360478246
3.2 3.9 0.0774006106539932
3.2 4 0.107724843396735
3.2 4.1 0.145883573361348
3.2 4.2 0.192278883389734
3.2 4.3 0.246785139749016
3.2 4.4 0.308661345445792
3.2 4.5 0.376537366606876
3.2 4.6 0.448487668366486
3.2 4.7 0.522189583612377
3.2 4.8 0.59514537183585
3.2 4.9 0.66493314016058
3.2 5 0.729445105346866
3.2 5.1 0.787074591081372
3.2 5.2 0.836824727700132
3.2 5.3 0.87832873176871
3.2 5.4 0.911789253242214
3.2 5.5 0.937858168766875
3.2 5.6 0.957485495901525
3.2 5.7 0.971766131860601
3.2 5.8 0.981807254827767
3.2 5.9 0.988630099168599
3.2 6 0.993110296275668
3.2 6.1 0.995953298921879
3.2 6.2 0.997696734357916
3.2 6.3 0.998729930782948
3.2 6.4 0.999321639933268
3.2 6.5 0.999649117815584
3.2 6.6 0.999824265291252
3.2 6.7 0.999914791415904
3.2 6.8 0.999960007403722
3.2 6.9 0.999981832595538
3.2 7 0.999992013162546
3.2 7.1 0.999996602326882
3.2 7.2 0.999998601465408
3.2 7.3 0.999999443053707
3.2 7.4 0.999999785430161
3.2 7.5 0.999999920033357
3.2 7.6 0.999999971172566
3.2 7.7 0.999999989948419
3.2 7.8 0.999999996610228
3.2 7.9 0.999999998894414
3.2 8 0.999999999651277
3.3 2 0.00151934148957678
3.3 2.1 0.00151981153158254
3.3 2.2 0.00152098028261582
3.3 2.3 0.00152377860562247
3.3 2.4 0.00153023182682555
3.3 2.5 0.00154456922408774
3.3 2.6 0.00157526582616485
3.3 2.7 0.00163861570466728
3.3 2.8 0.00176466583369539
3.3 2.9 0.00200653793081196
3.3 3 0.00245422213599411
3.3 3.1 0.00325367849773772
3.3 3.2 0.00463133989971387
3.3 3.3 0.00692271663267774
3.3 3.4 0.0106017333731075
3.3 3.5 0.0163049055749743
3.3 3.6 0.0248420379138357
3.3 3.7 0.0371836794542608
3.3 3.8 0.0544161376160954
3.3 3.9 0.0776583073838876
3.3 4 0.107941183428655
3.3 4.1 0.146059970434297
3.3 4.2 0.192418338648031
3.3 4.3 0.246891877530569
3.3 4.4 0.308740335659166
3.3 4.5 0.376593822028591
3.3 4.6 0.448526598482686
3.3 4.7 0.522215462211361
3.3 4.8 0.595161942792944
3.3 4.9 0.664943354860081
3.3 5 0.729451163368628
3.3 5.1 0.787078046103323
3.3 5.2 0.836826621787539
3.3 5.3 0.878329729505611
3.3 5.4 0.911789758085151
3.3 5.5 0.937858414065563
3.3 5.6 0.957485610326805
3.3 5.7 0.971766183092252
3.3 5.8 0.981807276839642
3.3 5.9 0.988630108242631
3.3 6 0.99311029986405
3.3 6.1 0.995953300282978
3.3 6.2 0.997696734853044
3.3 6.3 0.998729930955663
3.3 6.4 0.999321639991036
3.3 6.5 0.999649117834108
3.3 6.6 0.999824265296946
3.3 6.7 0.999914791417582
3.3 6.8 0.999960007404196
3.3 6.9 0.999981832595667
3.3 7 0.999992013162579
3.3 7.1 0.99999660232689
3.3 7.2 0.99999860146541
3.3 7.3 0.999999443053707
3.3 7.4 0.999999785430161
3.3 7.5 0.999999920033357
3.3 7.6 0.999999971172566
3.3 7.7 0.999999989948419
3.3 7.8 0.999999996610228
3.3 7.9 0.999999998894414
3.3 8 0.999999999651277
3.4 2 0.00223220576713268
3.4 2.1 0.00223265197125599
3.4 2.2 0.00223376759585991
3.4 2.3 0.00223645253919191
3.4 2.4 0.0022426740520759
3.4 2.5 0.00225655799862279
3.4 2.6 0.00228640483188058
3.4 2.7 0.00234822976634264
3.4 2.8 0.00247165936253568
3.4 2.9 0.00270921916881572
3.4 3 0.00315010806258653
3.4 3.1 0.00393931041522677
3.4 3.2 0.00530215478699814
3.4 3.3 0.0075730287814354
3.4 3.4 0.0112248782572287
3.4 3.5 0.0168935787062253
3.4 3.6 0.0253888254871766
3.4 3.7 0.0376817311512777
3.4 3.8 0.0548598871868552
3.4 3.9 0.0780441182873879
3.4 4 0.108267796773852
3.4 4.1 0.146328664557777
3.4 4.2 0.192632767089902
3.4 4.3 0.247057619152767
3.4 4.4 0.308864247931515
3.4 4.5 0.376683320365613
3.4 4.6 0.448588984229078
3.4 4.7 0.522257393353744
3.4 4.8 0.595189096657796
3.4 4.9 0.664960285663314
3.4 5 0.729461321646968
3.4 5.1 0.787083907996579
3.4 5.2 0.836829873692187
3.4 5.3 0.878331463113393
3.4 5.4 0.911790645913168
3.4 5.5 0.93785885072357
3.4 5.6 0.957485816519637
3.4 5.7 0.97176627655175
3.4 5.8 0.981807317493401
3.4 5.9 0.988630125210404
3.4 6 0.993110306658026
3.4 6.1 0.995953302892337
3.4 6.2 0.997696735814206
3.4 6.3 0.998729931295179
3.4 6.4 0.99932164010603
3.4 6.5 0.999649117871451
3.4 6.6 0.999824265308572
3.4 6.7 0.999914791421052
3.4 6.8 0.999960007405188
3.4 6.9 0.999981832595939
3.4 7 0.999992013162651
3.4 7.1 0.999996602326908
3.4 7.2 0.999998601465414
3.4 7.3 0.999999443053708
3.4 7.4 0.999999785430162
3.4 7.5 0.999999920033357
3.4 7.6 0.999999971172566
3.4 7.7 0.999999989948419
3.4 7.8 0.999999996610228
3.4 7.9 0.999999998894414
3.4 8 0.999999999651277
3.5 2 0.00323591578618609
3.5 2.1 0.00323633579776883
3.5 2.2 0.00323739228721998
3.5 2.3 0.00323994938212746
3.5 2.4 0.0032459062115423
3.5 2.5 0.00325926542283728
3.5 2.6 0.00328811608062018
3.5 2.7 0.0033481300344157
3.5 2.8 0.00346840699106843
3.5 2.9 0.00370071125526816
3.5 3 0.0041332105045091
3.5 3.1 0.00490958799870023
3.5 3.2 0.00625365889405771
3.5 3.3 0.00849821687906827
3.5 3.4 0.0121147416392735
3.5 3.5 0.0177380353079668
3.5 3.6 0.0261773905319057
3.5 3.7 0.0384044159467395
3.5 3.8 0.055508210535498
3.5 3.9 0.0786120660719366
3.5 4 0.108752552118247
3.5 4.1 0.146730962940925
3.5 4.2 0.192956802846795
3.5 4.3 0.24731052289337
3.5 4.4 0.309055241872229
3.5 4.5 0.376822715789746
3.5 4.6 0.448687198499451
3.5 4.7 0.522324134256701
3.5 4.8 0.595232803461246
3.5 4.9 0.664987849531866
3.5 5 0.729478051813809
3.5 5.1 0.787093675839044
3.5 5.2 0.836835356893047
3.5 5.3 0.878334421336996
3.5 5.4 0.911792179241301
3.5 5.5 0.937859614051329
3.5 5.6 0.957486181390746
3.5 5.7 0.97176644397463
3.5 5.8 0.981807391223263
3.5 5.9 0.988630156366429
3.5 6 0.993110319288985
3.5 6.1 0.995953307804354
3.5 6.2 0.997696737646321
3.5 6.3 0.998729931950511
3.5 6.4 0.9993216403308
3.5 6.5 0.999649117945367
3.5 6.6 0.999824265331875
3.5 6.7 0.999914791428095
3.5 6.8 0.999960007407228
3.5 6.9 0.999981832596505
3.5 7 0.999992013162801
3.5 7.1 0.999996602326947
3.5 7.2 0.999998601465424
3.5 7.3 0.99999944305371
3.5 7.4 0.999999785430162
3.5 7.5 0.999999920033358
3.5 7.6 0.999999971172566
3.5 7.7 0.999999989948419
3.5 7.8 0.999999996610228
3.5 7.9 0.999999998894414
3.5 8 0.999999999651277
3.6 2 0.00462879198013988
3.6 2.1 0.00462918373579491
3.6 2.2 0.00463017559990775
3.6 2.3 0.00463259115533876
3.6 2.4 0.00463825113680227
3.6 2.5 0.00465101417489111
3.6 2.6 0.00467871828273414
3.6 2.7 0.00473662071356018
3.6 2.8 0.004853173914937
3.6 2.9 0.00507918964962595
3.6 3 0.00550151939240417
3.6 3.1 0.00626214858981933
3.6 3.2 0.00758286607155478
3.6 3.3 0.00979426132210304
3.6 3.4 0.0133656905436979
3.6 3.5 0.0189302622994237
3.6 3.6 0.0272963940611761
3.6 3.7 0.0394359847737784
3.6 3.8 0.056439802161766
3.6 3.9 0.0794341860366351
3.6 4 0.109459886836522
3.6 4.1 0.147323044173837
3.6 4.2 0.193438067255769
3.6 4.3 0.24768975423321
3.6 4.4 0.309344511068567
3.6 4.5 0.377036028967548
3.6 4.6 0.448839100405872
3.6 4.7 0.522428489787287
3.6 4.8 0.59530190810038
3.6 4.9 0.665031927328941
3.6 5 0.729505114877016
3.6 5.1 0.787109661770771
3.6 5.2 0.836844437050578
3.6 5.3 0.878339378809003
3.6 5.4 0.911794779870269
3.6 5.5 0.937860924460907
3.6 5.6 0.957486815439038
3.6 5.7 0.971766738494603
3.6 5.8 0.981807522530087
3.6 5.9 0.988630212542808
3.6 6 0.993110342347813
3.6 6.1 0.995953316884002
3.6 6.2 0.997696741075479
3.6 6.3 0.998729933192556
3.6 6.4 0.999321640762188
3.6 6.5 0.999649118089026
3.6 6.6 0.999824265377742
3.6 6.7 0.999914791442133
3.6 6.8 0.999960007411347
3.6 6.9 0.999981832597663
3.6 7 0.999992013163113
3.6 7.1 0.999996602327027
3.6 7.2 0.999998601465444
3.6 7.3 0.999999443053715
3.6 7.4 0.999999785430163
3.6 7.5 0.999999920033358
3.6 7.6 0.999999971172566
3.6 7.7 0.999999989948419
3.6 7.8 0.999999996610228
3.6 7.9 0.999999998894414
3.6 8 0.999999999651277
3.7 2 0.0065339006173023
3.7 2.1 0.00653426244593547
3.7 2.2 0.00653518497035033
3.7 2.3 0.00653744668133771
3.7 2.4 0.00654277980162588
3.7 2.5 0.00655487783193587
3.7 2.6 0.00658128633607513
3.7 2.7 0.00663677163753573
3.7 2.8 0.00674900656640398
3.7 2.9 0.00696763471082629
3.7 3 0.0073778618637852
3.7 3.1 0.00811950491895796
3.7 3.2 0.00941170051873164
3.7 3.3 0.0115820656502994
3.7 3.4 0.0150969737686797
3.7 3.5 0.0205869862226407
3.7 3.6 0.0288589341292634
3.7 3.7 0.0408845957620744
3.7 3.8 0.0577564428310485
3.7 3.9 0.0806044400346329
3.7 4 0.110474647984126
3.7 4.1 0.148179643029211
3.7 4.2 0.194140609934557
3.7 4.3 0.248248602821283
3.7 4.4 0.309775013665736
3.7 4.5 0.377356755091198
3.7 4.6 0.44906991409369
3.7 4.7 0.522588783246827
3.7 4.8 0.595409236308431
3.7 4.9 0.665101161968008
3.7 5 0.729548113645276
3.7 5.1 0.787135357500056
3.7 5.2 0.836859204992259
3.7 5.3 0.878347537915465
3.7 5.4 0.911799111608296
3.7 5.5 0.93786313364798
3.7 5.6 0.957487897433039
3.7 5.7 0.971767247269517
3.7 5.8 0.981807752163168
3.7 5.9 0.988630312005877
3.7 6 0.993110383683806
3.7 6.1 0.99595333336422
3.7 6.2 0.997696747377821
3.7 6.3 0.998729935504025
3.7 6.4 0.99932164157515
3.7 6.5 0.999649118363184
3.7 6.6 0.999824265466384
3.7 6.7 0.999914791469608
3.7 6.8 0.999960007419511
3.7 6.9 0.999981832599989
3.7 7 0.999992013163748
3.7 7.1 0.999996602327193
3.7 7.2 0.999998601465485
3.7 7.3 0.999999443053725
3.7 7.4 0.999999785430166
3.7 7.5 0.999999920033358
3.7 7.6 0.999999971172566
3.7 7.7 0.999999989948419
3.7 7.8 0.999999996610228
3.7 7.9 0.999999998894414
3.7 8 0.999999999651277
3.8 2 0.00910210775835674
3.8 2.1 0.00910243846700209
3.8 2.2 0.00910328794766646
3.8 2.3 0.00910538548325923
3.8 2.4 0.00911036524576558
3.8 2.5 0.00912173498824242
3.8 2.6 0.00914670610622337
3.8 2.7 0.00919947480537397
3.8 2.8 0.00930679317746441
3.8 2.9 0.00951690055647558
3.8 3 0.00991298675008512
3.8 3.1 0.0106321567561584
3.8 3.2 0.0118901521970658
3.8 3.3 0.0140106774054808
3.8 3.4 0.0174560334904115
3.8 3.5 0.0228531010318032
3.8 3.6 0.0310061097905859
3.8 3.7 0.0428860217799185
3.8 3.8 0.059586838289117
3.8 3.9 0.0822426487100936
3.8 4 0.111906053613557
3.8 4.1 0.149397953304418
3.8 4.2 0.195148651488272
3.8 4.3 0.24905796215576
3.8 4.4 0.310404598973093
3.8 4.5 0.377830572315139
3.8 4.6 0.449414486379
3.8 4.7 0.522830664600457
3.8 4.8 0.595572984742328
3.8 4.9 0.665207983265292
3.8 5 0.729615216898265
3.8 5.1 0.787175924506539
3.8 5.2 0.836882794483489
3.8 5.3 0.878360726010694
3.8 5.4 0.911806197427448
3.8 5.5 0.937866791200172
3.8 5.6 0.957489710650246
3.8 5.7 0.971768110347641
3.8 5.8 0.981808146517958
3.8 5.9 0.988630484935096
3.8 6 0.993110456446972
3.8 6.1 0.99595336273688
3.8 6.2 0.997696758751414
3.8 6.3 0.998729939727946
3.8 6.4 0.999321643079484
3.8 6.5 0.999649118876915
3.8 6.6 0.999824265634592
3.8 6.7 0.999914791522409
3.8 6.8 0.999960007435399
3.8 6.9 0.999981832604571
3.8 7 0.999992013165015
3.8 7.1 0.999996602327529
3.8 7.2 0.99999860146557
3.8 7.3 0.999999443053746
3.8 7.4 0.99999978543017
3.8 7.5 0.999999920033359
3.8 7.6 0.999999971172567
3.8 7.7 0.999999989948419
3.8 7.8 0.999999996610228
3.8 7.9 0.999999998894414
3.8 8 0.999999999651277
3.9 2 0.0125143786759486
3.9 2.1 0.0125146776131239
3.9 2.2 0.0125154515487088
3.9 2.3 0.0125173770732542
3.9 2.4 0.0125219817867545
3.9 2.5 0.0125325684576965
3.9 2.6 0.0125559739180224
3.9 2.7 0.012605745012747
3.9 2.8 0.0127075675437008
3.9 2.9 0.0129080260511072
3.9 3 0.0132878903508931
3.9 3.1 0.0139809441920701
3.9 3.2 0.0151986771820923
3.9 3.3 0.0172597630341306
3.9 3.4 0.0206210897339654
3.9 3.5 0.0259044019935216
3.9 3.6 0.033909943583677
3.9 3.7 0.0456067917304815
3.9 3.8 0.0620899909838182
3.9 3.9 0.0844980776477
3.9 4 0.113891444107577
3.9 4.1 0.151101461913141
3.9 4.2 0.196570391634157
3.9 4.3 0.25020998969917
3.9 4.4 0.311309400755285
3.9 4.5 0.378518369065579
3.9 4.6 0.449919881193999
3.9 4.7 0.523189243687356
3.9 4.8 0.5958184022082
3.9 4.9 0.665369877152692
3.9 5 0.729718076775019
3.9 5.1 0.787238828692461
3.9 5.2 0.836919802350227
3.9 5.3 0.878381661491767
3.9 5.4 0.911817580664278
3.9 5.5 0.937872738015708
3.9 5.6 0.957492694659631
3.9 5.7 0.971769548121535
3.9 5.8 0.981808811557688
3.9 5.9 0.988630780175202
3.9 6 0.993110582220338
3.9 6.1 0.995953414142619
3.9 6.2 0.997696778906106
3.9 6.3 0.998729947307113
3.9 6.4 0.999321645812817
3.9 6.5 0.999649119822151
3.9 6.6 0.999824265948006
3.9 6.7 0.999914791622039
3.9 6.8 0.99996000746576
3.9 6.9 0.99998183261344
3.9 7 0.999992013167498
3.9 7.1 0.999996602328195
3.9 7.2 0.999998601465742
3.9 7.3 0.999999443053788
3.9 7.4 0.99999978543018
3.9 7.5 0.999999920033362
3.9 7.6 0.999999971172567
3.9 7.7 0.999999989948419
3.9 7.8 0.999999996610228
3.9 7.9 0.999999998894414
3.9 8 0.999999999651277
4 2 0.0169828623488354
4 2.1 0.016983129439843
4 2.2 0.0169838266655501
4 2.3 0.01698557524985
4 2.4 0.0169897891373847
4 2.5 0.0169995491579454
4 2.6 0.0170212802837959
4 2.7 0.0170678039121749
4 2.8 0.0171635948869374
4 2.9 0.0173533259429584
4 3 0.0177149199142538
4 3.1 0.018378176316776
4 3.2 0.0195493727301249
4 3.3 0.0215408611879094
4 3.4 0.0248025155388064
4 3.5 0.029949136874987
4 3.6 0.0377751687227011
4 3.7 0.0492462710004092
4 3.8 0.0654576166415035
4 3.9 0.0875522058893285
4 4 0.11659938082953
4 4.1 0.153443313146184
4 4.2 0.198541534619917
4 4.3 0.251821660221607
4 4.4 0.312587274113982
4 4.5 0.379499429186013
4 4.6 0.450648205106272
4 4.7 0.523711487912255
4 4.8 0.59617973519797
4 4.9 0.665610894821407
4 5 0.729872947713951
4 5.1 0.787334633319845
4 5.2 0.836976825532494
4 5.3 0.87841430145282
4 5.4 0.911835540120691
4 5.5 0.937882233513046
4 5.6 0.957497517233956
4 5.7 0.971771900189234
4 5.8 0.981809912889649
4 5.9 0.988631275152063
4 6 0.993110795702486
4 6.1 0.995953502485112
4 6.2 0.997696813976361
4 6.3 0.99872996066096
4 6.4 0.9993216506894
4 6.5 0.999649121529866
4 6.6 0.999824266521409
4 6.7 0.999914791806628
4 6.8 0.999960007522726
4 6.9 0.999981832630292
4 7 0.999992013172277
4 7.1 0.999996602329494
4 7.2 0.99999860146608
4 7.3 0.999999443053872
4 7.4 0.999999785430201
4 7.5 0.999999920033366
4 7.6 0.999999971172568
4 7.7 0.999999989948419
4 7.8 0.999999996610228
4 7.9 0.999999998894414
4 8 0.999999999651277
4.1 2 0.0227502628558567
4.1 2.1 0.0227504986068634
4.1 2.2 0.0227511193577633
4.1 2.3 0.022752689244382
4.1 2.4 0.0227565032784848
4.1 2.5 0.0227654065288523
4.1 2.6 0.0227853796918387
4.1 2.7 0.0228284492029671
4.1 2.8 0.0229177411755955
4.1 2.9 0.0230957627224774
4.1 3 0.0234371538141367
4.1 3.1 0.0240670314260684
4.1 3.2 0.0251854184924784
4.1 3.3 0.0270968988405801
4.1 3.4 0.0302424777468003
4.1 3.5 0.035227837861676
4.1 3.6 0.0428393323796281
4.1 3.7 0.0540371223314513
4.1 3.8 0.0699150422842989
4.1 3.9 0.0916201180959312
4.1 4 0.120231551035367
4.1 4.1 0.156608694981049
4.1 4.2 0.201228072205329
4.1 4.3 0.254037814204783
4.1 4.4 0.314360948028445
4.1 4.5 0.380874520006754
4.1 4.6 0.451679478708193
4.1 4.7 0.524458760484707
4.1 4.8 0.596702363322852
4.1 4.9 0.665963363965916
4.1 5 0.730101993492335
4.1 5.1 0.787477951012129
4.1 5.2 0.837063122597772
4.1 5.3 0.878464280357432
4.1 5.4 0.9118633677587
4.1 5.5 0.937897123483215
4.1 5.6 0.957505171247005
4.1 5.7 0.971775678786036
4.1 5.8 0.981811703914193
4.1 5.9 0.988632090042468
4.1 6 0.993111151523987
4.1 6.1 0.995953651565034
4.1 6.2 0.997696873898526
4.1 6.3 0.998729983764163
4.1 6.4 0.999321659232487
4.1 6.5 0.99964912455931
4.1 6.6 0.999824267551484
4.1 6.7 0.999914792142435
4.1 6.8 0.999960007627677
4.1 6.9 0.999981832661735
4.1 7 0.999992013181306
4.1 7.1 0.999996602331979
4.1 7.2 0.999998601466736
4.1 7.3 0.999999443054038
4.1 7.4 0.999999785430241
4.1 7.5 0.999999920033376
4.1 7.6 0.99999997117257
4.1 7.7 0.999999989948419
4.1 7.8 0.999999996610228
4.1 7.9 0.999999998894414
4.1 8 0.999999999651277
4.2 2 0.030087006622372
4.2 2.1 0.0300872120928959
4.2 2.2 0.0300877579910964
4.2 2.3 0.0300891506901618
4.2 2.4 0.0300925630812036
4.2 2.5 0.030100594507474
4.2 2.6 0.030118755499226
4.2 2.7 0.0301582179652939
4.2 2.8 0.0302406347262815
4.2 2.9 0.0304061074520173
4.2 3 0.0307255653277259
4.2 3.1 0.0313187329393166
4.2 3.2 0.0323782831710261
4.2 3.3 0.0341994615568447
4.2 3.4 0.0372123229683983
4.2 3.5 0.0420108979209916
4.2 3.6 0.0493706595933731
4.2 3.7 0.060243571177201
4.2 3.8 0.0757199914739879
4.2 3.9 0.096949914702385
4.2 4 0.125022873819929
4.2 4.1 0.160815658797738
4.2 4.2 0.20482777071157
4.2 4.3 0.257033201176476
4.2 4.4 0.316780461701776
4.2 4.5 0.382768528947552
4.2 4.6 0.45311427914393
4.2 4.7 0.52550929950821
4.2 4.8 0.597444989980434
4.2 4.9 0.666469719349124
4.2 5 0.730434737542084
4.2 5.1 0.787688535213683
4.2 5.2 0.837191395008168
4.2 5.3 0.878539442479646
4.2 5.4 0.911905714445576
4.2 5.5 0.937920054139603
4.2 5.6 0.957517101076578
4.2 5.7 0.971781640013204
4.2 5.8 0.981814564138042
4.2 5.9 0.988633407451216
4.2 6 0.993111733898791
4.2 6.1 0.995953898601999
4.2 6.2 0.997696974434976
4.2 6.3 0.998730023012405
4.2 6.4 0.999321673928233
4.2 6.5 0.999649129836268
4.2 6.6 0.999824269368452
4.2 6.7 0.999914792742279
4.2 6.8 0.999960007817529
4.2 6.9 0.999981832719338
4.2 7 0.999992013198059
4.2 7.1 0.99999660233665
4.2 7.2 0.999998601467983
4.2 7.3 0.999999443054358
4.2 7.4 0.999999785430319
4.2 7.5 0.999999920033394
4.2 7.6 0.999999971172574
4.2 7.7 0.99999998994842
4.2 7.8 0.999999996610228
4.2 7.9 0.999999998894414
4.2 8 0.999999999651277
4.3 2 0.0392857801770197
4.3 2.1 0.0392859569233046
4.3 2.2 0.0392864308901044
4.3 2.3 0.0392876510969542
4.3 2.4 0.0392906673908396
4.3 2.5 0.0392978278225873
4.3 2.6 0.0393141547658133
4.3 2.7 0.0393499190511539
4.3 2.8 0.0394251950009363
4.3 2.9 0.0395774642205549
4.3 3 0.039873543767153
4.3 3.1 0.04042707259616
4.3 3.2 0.0414222637307974
4.3 3.3 0.0431433770442744
4.3 3.4 0.0460072549637457
4.3 3.5 0.0505934189344363
4.3 3.6 0.0576631798923565
4.3 3.7 0.0681569471646286
4.3 3.8 0.0831586956140627
4.3 3.9 0.103819548538064
4.3 4 0.131239193687246
4.3 4.1 0.166313751916901
4.3 4.2 0.209569754071083
4.3 4.3 0.261012944486093
4.3 4.4 0.320024366801173
4.3 4.5 0.385332202847212
4.3 4.6 0.455075789618008
4.3 4.7 0.526960356964247
4.3 4.8 0.598481684689756
4.3 4.9 0.667184315269726
4.3 5 0.730909571180275
4.3 5.1 0.787992463394287
4.3 5.2 0.837378665278907
4.3 5.3 0.878650459997353
4.3 5.4 0.911969003240225
4.3 5.5 0.937954734972728
4.3 5.6 0.957535361776752
4.3 5.7 0.971790875677861
4.3 5.8 0.981819049694649
4.3 5.9 0.988635498919394
4.3 6 0.993112669896587
4.3 6.1 0.995954300577773
4.3 6.2 0.997697140068692
4.3 6.3 0.998730088483859
4.3 6.4 0.999321698750838
4.3 6.5 0.999649138861926
4.3 6.6 0.999824272515447
4.3 6.7 0.99991479379437
4.3 6.8 0.999960008154747
4.3 6.9 0.999981832822954
4.3 7 0.999992013228578
4.3 7.1 0.999996602345266
4.3 7.2 0.999998601470315
4.3 7.3 0.999999443054962
4.3 7.4 0.999999785430469
4.3 7.5 0.99999992003343
4.3 7.6 0.999999971172583
4.3 7.7 0.999999989948422
4.3 7.8 0.999999996610229
4.3 7.9 0.999999998894414
4.3 8 0.999999999651277
4.4 2 0.0506531467336493
4.4 2.1 0.0506532967279372
4.4 2.2 0.0506537028288493
4.4 2.3 0.0506547581709604
4.4 2.4 0.0506573909473415
4.4 2.5 0.0506636970523304
4.4 2.6 0.0506782015923919
4.4 2.7 0.050710243274407
4.4 2.8 0.0507782375521715
4.4 2.9 0.0509168672950036
4.4 3 0.0511884817563066
4.4 3.1 0.051699988427247
4.4 3.2 0.0526260613138722
4.4 3.3 0.054238309198793
4.4 3.4 0.0569379882043192
4.4 3.5 0.0612869963903631
4.4 3.6 0.0680287523813984
4.4 3.7 0.0780880989961946
4.4 3.8 0.0925388825238221
4.4 3.9 0.112530589376403
4.4 4 0.139172016163242
4.4 4.1 0.173379880737628
4.4 4.2 0.215711581954958
4.4 4.3 0.266210831436433
4.4 4.4 0.324299130052326
4.4 4.5 0.388742478776401
4.4 4.6 0.45771081696285
4.4 4.7 0.528929640822199
4.4 4.8 0.599903503477975
4.4 4.9 0.668175022776972
4.4 5 0.73157518707044
4.4 5.1 0.788423329349996
4.4 5.2 0.837647205111795
4.4 5.3 0.8788115131951
4.4 5.4 0.912061900529342
4.4 5.5 0.938006247980958
4.4 5.6 0.957562811771047
4.4 5.7 0.971804927449832
4.4 5.8 0.981825957708966
4.4 5.9 0.988638759491352
4.4 6 0.993114147136732
4.4 6.1 0.99595494287331
4.4 6.2 0.997697408025518
4.4 6.3 0.99873019572689
4.4 6.4 0.999321739921076
4.4 6.5 0.999649154020207
4.4 6.6 0.999824277867456
4.4 6.7 0.999914795606282
4.4 6.8 0.999960008742869
4.4 6.9 0.999981833005963
4.4 7 0.999992013283168
4.4 7.1 0.999996602360874
4.4 7.2 0.999998601474592
4.4 7.3 0.999999443056086
4.4 7.4 0.999999785430752
4.4 7.5 0.999999920033498
4.4 7.6 0.999999971172598
4.4 7.7 0.999999989948426
4.4 7.8 0.999999996610229
4.4 7.9 0.999999998894414
4.4 8 0.999999999651277
4.5 2 0.0644981537785176
4.5 2.1 0.0644982793111512
4.5 2.2 0.0644986225474122
4.5 2.3 0.0644995231832103
4.5 2.4 0.0645017913814222
4.5 2.5 0.0645072747615555
4.5 2.6 0.0645200014310391
4.5 2.7 0.0645483641328372
4.5 2.8 0.0646090682557265
4.5 2.9 0.0647338646205164
4.5 3 0.0649803427379169
4.5 3.1 0.0654481114492635
4.5 3.2 0.066301306136374
4.5 3.3 0.0677972701170348
4.5 3.4 0.0703192748419014
4.5 3.5 0.0744083193688357
4.5 3.6 0.0807858384587228
4.5 3.7 0.0903564893168485
4.5 3.8 0.104179392910127
4.5 3.9 0.123398600410327
4.5 4 0.149129897704323
4.5 4.1 0.182310948131698
4.5 4.2 0.2235333107472
4.5 4.3 0.272884882232264
4.5 4.4 0.329836183002524
4.5 4.5 0.393200875932636
4.5 4.6 0.461189296075659
4.5 4.7 0.531555647719148
4.5 4.8 0.601819353536383
4.5 4.9 0.669524357305936
4.5 5 0.73249175592984
4.5 5.1 0.789023322827828
4.5 5.2 0.838025437811606
4.5 5.3 0.879040989553878
4.5 5.4 0.912195822800102
4.5 5.5 0.938081393449038
4.5 5.6 0.957603335777341
4.5 5.7 0.971825923020968
4.5 5.8 0.981836405236437
4.5 5.9 0.988643751216268
4.5 6 0.993116436599802
4.5 6.1 0.995955950660921
4.5 6.2 0.997697833696043
4.5 6.3 0.998730368220539
4.5 6.4 0.999321806971446
4.5 6.5 0.999649179017799
4.5 6.6 0.99982428680484
4.5 6.7 0.999914798670287
4.5 6.8 0.999960009750013
4.5 6.9 0.999981833323341
4.5 7 0.999992013379044
4.5 7.1 0.999996602388636
4.5 7.2 0.999998601482297
4.5 7.3 0.999999443058135
4.5 7.4 0.999999785431275
4.5 7.5 0.999999920033626
4.5 7.6 0.999999971172628
4.5 7.7 0.999999989948432
4.5 7.8 0.999999996610231
4.5 7.9 0.999999998894415
4.5 8 0.999999999651277
4.6 2 0.0811181106516276
4.6 2.1 0.081118214224007
4.6 2.2 0.0811185002882617
4.6 2.3 0.0811192583927527
4.6 2.4 0.0811211863253031
4.6 2.5 0.0811258918350399
4.6 2.6 0.0811369156487671
4.6 2.7 0.0811617086630525
4.6 2.8 0.0812152469894564
4.6 2.9 0.0813262686948018
4.6 3 0.0815473908795077
4.6 3.1 0.0819704643990369
4.6 3.2 0.0827482150906929
4.6 3.3 0.084122232002281
4.6 3.4 0.0864554806230393
4.6 3.5 0.0902647470460737
4.6 3.6 0.0962451572231505
4.6 3.7 0.105276062813135
4.6 3.8 0.118396458138899
4.6 3.9 0.13674008227846
4.6 4 0.161426353590133
4.6 4.1 0.193413030247874
4.6 4.2 0.2333282078977
4.6 4.3 0.281309789134612
4.6 4.4 0.336886156814431
4.6 4.5 0.398929464936774
4.6 4.6 0.465701809135
4.6 4.7 0.534996454676856
4.6 4.8 0.604355731895077
4.6 4.9 0.671329838300049
4.6 5 0.73373162055967
4.6 5.1 0.789844036059898
4.6 5.2 0.838548708446882
4.6 5.3 0.879362135856788
4.6 5.4 0.912385441439241
4.6 5.5 0.938189052728092
4.6 5.6 0.957662088980661
4.6 5.7 0.97185673086326
4.6 5.8 0.981851921964952
4.6 5.9 0.988651255762443
4.6 6 0.993119920973837
4.6 6.1 0.995957503420731
4.6 6.2 0.997698497709465
4.6 6.3 0.99873064065731
4.6 6.4 0.999321914197972
4.6 6.5 0.999649219496338
4.6 6.6 0.999824301459581
4.6 6.7 0.999914803757879
4.6 6.8 0.999960011443501
4.6 6.9 0.99998183386378
4.6 7 0.99999201354438
4.6 7.1 0.999996602437122
4.6 7.2 0.999998601495926
4.6 7.3 0.999999443061807
4.6 7.4 0.999999785432223
4.6 7.5 0.99999992003386
4.6 7.6 0.999999971172684
4.6 7.7 0.999999989948445
4.6 7.8 0.999999996610234
4.6 7.9 0.999999998894415
4.6 8 0.999999999651277
4.7 2 0.100782026681214
4.7 2.1 0.100782110897807
4.7 2.2 0.100782345913643
4.7 2.3 0.100782975093928
4.7 2.4 0.100784591232606
4.7 2.5 0.100788574668058
4.7 2.6 0.100797997163691
4.7 2.7 0.100819389582307
4.7 2.8 0.100866012557321
4.7 2.9 0.10096356773646
4.7 3 0.101159578044355
4.7 3.1 0.101537809539795
4.7 3.2 0.102238881687965
4.7 3.3 0.103487340345007
4.7 3.4 0.105623709874564
4.7 3.5 0.109137354151755
4.7 3.6 0.114692697224952
4.7 3.7 0.123138326033872
4.7 3.8 0.135487021437272
4.7 3.9 0.152856286442088
4.7 4 0.176364482110244
4.7 4.1 0.206987169792303
4.7 4.2 0.245390067636408
4.7 4.3 0.291766049889206
4.7 4.4 0.345710021003179
4.7 4.5 0.406164058267992
4.7 4.6 0.471454724517604
4.7 4.7 0.539426572627483
4.7 4.8 0.607654970006888
4.7 4.9 0.673703263731686
4.7 5 0.735379252162188
4.7 5.1 0.790946805276493
4.7 5.2 0.839259786560164
4.7 5.3 0.879803574285447
4.7 5.4 0.912649130925452
4.7 5.5 0.938340536951365
4.7 5.6 0.957745746255165
4.7 5.7 0.971901125991681
4.7 5.8 0.981874553613974
4.7 5.9 0.988662335203741
4.7 6 0.993125128445085
4.7 6.1 0.995959852744341
4.7 6.2 0.997699514839724
4.7 6.3 0.998731063178647
4.7 6.4 0.999322082577038
4.7 6.5 0.999649283858607
4.7 6.6 0.999824325054652
4.7 6.7 0.999914812052689
4.7 6.8 0.999960014239521
4.7 6.9 0.999981834767389
4.7 7 0.999992013824336
4.7 7.1 0.999996602520266
4.7 7.2 0.999998601519595
4.7 7.3 0.999999443068265
4.7 7.4 0.999999785433911
4.7 7.5 0.999999920034283
4.7 7.6 0.999999971172785
4.7 7.7 0.999999989948468
4.7 7.8 0.999999996610239
4.7 7.9 0.999999998894416
4.7 8 0.999999999651278
4.8 2 0.123712527808823
4.8 2.1 0.12371259527575
4.8 2.2 0.12371278554055
4.8 2.3 0.123713300227392
4.8 2.4 0.123714635862104
4.8 2.5 0.123717961217822
4.8 2.6 0.123725905288164
4.8 2.7 0.123744117159632
4.8 2.8 0.123784187950445
4.8 2.9 0.12386881748022
4.8 3 0.124040410307564
4.8 3.1 0.124374471363422
4.8 3.2 0.124999028763125
4.8 3.3 0.126120564133164
4.8 3.4 0.128055319825045
4.8 3.5 0.131262286282471
4.8 3.6 0.136370917451719
4.8 3.7 0.144193448884504
4.8 3.8 0.155709867743868
4.8 3.9 0.172014590728638
4.8 4 0.194218894892512
4.8 4.1 0.223312243956922
4.8 4.2 0.259997433344155
4.8 4.3 0.304525939256365
4.8 4.4 0.356567115506757
4.8 4.5 0.415144479292574
4.8 4.6 0.478662715434164
4.8 4.7 0.545031564887326
4.8 4.8 0.611871670319697
4.8 4.9 0.67676860172373
4.8 5 0.737530210137862
4.8 5.1 0.792402378962828
4.8 5.2 0.840208945462846
4.8 5.3 0.8803995734929
4.8 5.4 0.913009289278162
4.8 5.5 0.938549878416045
4.8 5.6 0.957862731998312
4.8 5.7 0.971963954013179
4.8 5.8 0.981906970015257
4.8 5.9 0.988678398465073
4.8 6 0.993132771068568
4.8 6.1 0.995963343238479
4.8 6.2 0.9977010447808
4.8 6.3 0.998731706641738
4.8 6.4 0.999322342210313
4.8 6.5 0.999649384347754
4.8 6.6 0.999824362357423
4.8 6.7 0.999914825331924
4.8 6.8 0.999960018772328
4.8 6.9 0.999981836250863
4.8 7 0.999992014289786
4.8 7.1 0.99999660266026
4.8 7.2 0.999998601559955
4.8 7.3 0.999999443079418
4.8 7.4 0.999999785436865
4.8 7.5 0.999999920035033
4.8 7.6 0.999999971172968
4.8 7.7 0.999999989948511
4.8 7.8 0.999999996610248
4.8 7.9 0.999999998894418
4.8 8 0.999999999651278
4.9 2 0.15006737515291
4.9 2.1 0.150067428389229
4.9 2.2 0.150067580137619
4.9 2.3 0.150067994997302
4.9 2.4 0.15006908287132
4.9 2.5 0.150071819387252
4.9 2.6 0.150078423339192
4.9 2.7 0.150093714619846
4.9 2.8 0.150127690322395
4.9 2.9 0.150200139180568
4.9 3 0.150348421881982
4.9 3.1 0.150639765977465
4.9 3.2 0.151189361824006
4.9 3.3 0.152184929410916
4.9 3.4 0.153916980680582
4.9 3.5 0.156811591085016
4.9 3.6 0.161459308443052
4.9 3.7 0.168630552403907
4.9 3.8 0.179265701164323
4.9 3.9 0.194428522387109
4.9 4 0.215215950287493
4.9 4.1 0.242625777943775
4.9 4.2 0.277395437368931
4.9 4.3 0.319836845095038
4.9 4.4 0.369700409543797
4.9 4.5 0.426102059842762
4.9 4.6 0.487538651278602
4.9 4.7 0.55200030548991
4.9 4.8 0.617167135926161
4.9 4.9 0.680658268859235
4.9 5 0.740288877970933
4.9 5.1 0.794289711981393
4.9 5.2 0.841453455822339
4.9 5.3 0.881189953451328
4.9 5.4 0.913492446636838
4.9 5.5 0.938834010234381
4.9 5.6 0.958023397809851
4.9 5.7 0.972051275115715
4.9 5.8 0.981952568377862
4.9 5.9 0.988701268926669
4.9 6 0.99314378580462
4.9 6.1 0.995968435829285
4.9 6.2 0.997703304597912
4.9 6.3 0.998732668901976
4.9 6.4 0.999322735326244
4.9 6.5 0.999649538407697
4.9 6.6 0.999824420265471
4.9 6.7 0.999914846206299
4.9 6.8 0.999960025987787
4.9 6.9 0.999981838642228
4.9 7 0.999992015049619
4.9 7.1 0.999996602891703
4.9 7.2 0.999998601627531
4.9 7.3 0.999999443098329
4.9 7.4 0.999999785441938
4.9 7.5 0.999999920036337
4.9 7.6 0.999999971173289
4.9 7.7 0.999999989948587
4.9 7.8 0.999999996610265
4.9 7.9 0.999999998894422
4.9 8 0.999999999651279
5 2 0.179921950206297
5 2.1 0.179921991572293
5 2.2 0.179922110773723
5 2.3 0.179922440178157
5 2.4 0.179923313196034
5 2.5 0.179925532417584
5 2.6 0.179930943730637
5 2.7 0.179943601946051
5 2.8 0.179972010972546
5 2.9 0.18003319013563
5 3 0.180159624898062
5 3.1 0.180410409636298
5 3.2 0.180887902353402
5 3.3 0.181760726075795
5 3.4 0.183292686023471
5 3.5 0.185874947772999
5 3.6 0.190055754155867
5 3.7 0.196558636194948
5 3.8 0.206277622278594
5 3.9 0.220237855507322
5 4 0.239513656601161
5 4.1 0.265103968479483
5 4.2 0.29777637578815
5 4.3 0.337902900369457
5 4.4 0.385319706075789
5 4.5 0.439244864627475
5 4.6 0.498281151867062
5 4.7 0.560514989987656
5 4.8 0.62370177105922
5 4.9 0.685507685203713
5 5 0.743764821363625
5 5.1 0.796693722939877
5 5.2 0.843056345774194
5 5.3 0.882219503528481
5 5.4 0.914129071956463
5 5.5 0.939212772128973
5 5.6 0.958240108194981
5 5.7 0.9721704642512
5 5.8 0.982015558572878
5 5.9 0.988733246425209
5 6 0.993159375026526
5 6.1 0.995975732097994
5 6.2 0.997706582337541
5 6.3 0.998734081951013
5 6.4 0.999323319807605
5 6.5 0.999649770331113
5 6.6 0.999824508536088
5 6.7 0.999914878426544
5 6.8 0.999960037265777
5 6.9 0.99998184242734
5 7 0.999992016267566
5 7.1 0.999996603267404
5 7.2 0.999998601738624
5 7.3 0.999999443129816
5 7.4 0.999999785450491
5 7.5 0.999999920038564
5 7.6 0.999999971173845
5 7.7 0.999999989948719
5 7.8 0.999999996610296
5 7.9 0.999999998894429
5 8 0.99999999965128
5.1 2 0.213254206868868
5.1 2.1 0.213254238513582
5.1 2.2 0.213254330712948
5.1 2.3 0.213254588296504
5.1 2.4 0.213255278384319
5.1 2.5 0.213257051435883
5.1 2.6 0.213261420679257
5.1 2.7 0.213271748258161
5.1 2.8 0.21329516575174
5.1 2.9 0.21334610785696
5.1 3 0.213452437881871
5.1 3.1 0.213665412863471
5.1 3.2 0.214074814258865
5.1 3.3 0.214830212533454
5.1 3.4 0.216168255686834
5.1 3.5 0.218443861409184
5.1 3.6 0.222160290895309
5.1 3.7 0.227989773348417
5.1 3.8 0.236773658834575
5.1 3.9 0.249490445374695
5.1 4 0.267182887319175
5.1 4.1 0.290842497389329
5.1 4.2 0.321260486244781
5.1 4.3 0.358866216204918
5.1 4.4 0.403583890468156
5.1 4.5 0.454741506746667
5.1 4.6 0.511060427864516
5.1 4.7 0.570739296555395
5.1 4.8 0.631625658877514
5.1 4.9 0.691448166688031
5.1 5 0.748067732165524
5.1 5.1 0.799701925487963
5.1 5.2 0.845084320079769
5.1 5.3 0.883536811315988
5.1 5.4 0.914952992688947
5.1 5.5 0.939708678551983
5.1 5.6 0.958527190406064
5.1 5.7 0.972330239604177
5.1 5.8 0.982101013961885
5.1 5.9 0.988777154613901
5.1 6 0.993181041900788
5.1 6.1 0.995985997488682
5.1 6.2 0.997711250869851
5.1 6.3 0.998736119554493
5.1 6.4 0.999324173128084
5.1 6.5 0.999650113166253
5.1 6.6 0.999824640657806
5.1 6.7 0.999914927260341
5.1 6.8 0.999960054574764
5.1 6.9 0.999981848310088
5.1 7 0.999992018184483
5.1 7.1 0.999996603866232
5.1 7.2 0.999998601917949
5.1 7.3 0.99999944318129
5.1 7.4 0.999999785464653
5.1 7.5 0.999999920042298
5.1 7.6 0.999999971174788
5.1 7.7 0.999999989948948
5.1 7.8 0.999999996610349
5.1 7.9 0.99999999889444
5.1 8 0.999999999651283
5.2 2 0.249933586264804
5.2 2.1 0.249933610093124
5.2 2.2 0.249933680298432
5.2 2.3 0.249933878618859
5.2 2.4 0.249934415793698
5.2 2.5 0.249935811025294
5.2 2.6 0.249939286332432
5.2 2.7 0.249947588517506
5.2 2.8 0.249966611667979
5.2 2.9 0.250008423995494
5.2 3 0.25009659014924
5.2 3.1 0.250274960135933
5.2 3.2 0.25062122924463
5.2 3.3 0.251266334816678
5.2 3.4 0.252419865922855
5.2 3.5 0.254399884517561
5.2 3.6 0.257662864129163
5.2 3.7 0.262826220928482
5.2 3.8 0.270673048893396
5.2 3.9 0.28212754392478
5.2 4 0.298191678166744
5.2 4.1 0.319839895972664
5.2 4.2 0.347878631869981
5.2 4.3 0.382789304214395
5.2 4.4 0.424583639880954
5.2 4.5 0.47270475227491
5.2 4.6 0.526003358485488
5.2 4.7 0.582805396681254
5.2 4.8 0.641067782339766
5.2 4.9 0.698598423834211
5.2 5 0.753301077326133
5.2 5.1 0.80339995177946
5.2 5.2 0.8476047988066
5.2 5.3 0.885192438217113
5.2 5.4 0.91600036101703
5.2 5.5 0.940346392172353
5.2 5.6 0.958900705298148
5.2 5.7 0.97254058971362
5.2 5.8 0.982214869047126
5.2 5.9 0.98883636273427
5.2 6 0.993210614699889
5.2 6.1 0.99600018039757
5.2 6.2 0.997717780571007
5.2 6.3 0.998739004794062
5.2 6.4 0.999325396467475
5.2 6.5 0.999650610804264
5.2 6.6 0.999824834842294
5.2 6.7 0.999914999936123
5.2 6.8 0.999960080659408
5.2 6.9 0.999981857287502
5.2 7 0.999992021146889
5.2 7.1 0.999996604803416
5.2 7.2 0.99999860220217
5.2 7.3 0.999999443263913
5.2 7.4 0.999999785487674
5.2 7.5 0.999999920048446
5.2 7.6 0.999999971176362
5.2 7.7 0.999999989949334
5.2 7.8 0.999999996610439
5.2 7.9 0.999999998894461
5.2 8 0.999999999651287
5.3 2 0.289715226145782
5.3 2.1 0.289715243803733
5.3 2.2 0.289715296420263
5.3 2.3 0.289715446729734
5.3 2.4 0.289715858409833
5.3 2.5 0.289716939524445
5.3 2.6 0.289719661929838
5.3 2.7 0.28972623602465
5.3 2.8 0.289741460991024
5.3 2.9 0.28977527926056
5.3 3 0.289847333747099
5.3 3.1 0.289994608360112
5.3 3.2 0.290283408503803
5.3 3.3 0.290826806466203
5.3 3.4 0.291807969763138
5.3 3.5 0.293508256665514
5.3 3.6 0.296336515775602
5.3 3.7 0.30085293609752
5.3 3.8 0.307777837470466
5.3 3.9 0.317974234901452
5.3 4 0.332394316545846
5.3 4.1 0.351985220538787
5.3 4.2 0.377558661387922
5.3 4.3 0.409640412564612
5.3 4.4 0.448326208601232
5.3 4.5 0.493176358079633
5.3 4.6 0.543179030371918
5.3 4.7 0.596800790923891
5.3 4.8 0.652124612061697
5.3 4.9 0.707055159521833
5.3 5 0.759554752272848
5.3 5.1 0.807866121047997
5.3 5.2 0.850682129188327
5.3 5.3 0.887236437001688
5.3 5.4 0.917308134284709
5.3 5.5 0.941151863060711
5.3 5.6 0.959378003294142
5.3 5.7 0.972812571542834
5.3 5.8 0.982363844839877
5.3 5.9 0.988914769783372
5.3 6 0.993250253082142
5.3 6.1 0.996019423404874
5.3 6.2 0.997726748984093
5.3 6.3 0.998743016655637
5.3 6.4 0.999327118640994
5.3 6.5 0.999651320105838
5.3 6.6 0.999825115087788
5.3 6.7 0.999915106139391
5.3 6.8 0.999960119258115
5.3 6.9 0.999981870739688
5.3 7 0.999992025642126
5.3 7.1 0.999996606243576
5.3 7.2 0.999998602644483
5.3 7.3 0.999999443394133
5.3 7.4 0.999999785524421
5.3 7.5 0.999999920058385
5.3 7.6 0.999999971178938
5.3 7.7 0.999999989949974
5.3 7.8 0.999999996610592
5.3 7.9 0.999999998894496
5.3 8 0.999999999651295
5.4 2 0.33224047147675
5.4 2.1 0.332240484352391
5.4 2.2 0.332240523159108
5.4 2.3 0.33224063528136
5.4 2.4 0.332240945843424
5.4 2.5 0.332241770556941
5.4 2.6 0.332243870386822
5.4 2.7 0.332248996892362
5.4 2.8 0.332260998712018
5.4 2.9 0.332287944771575
5.4 3 0.332345968064752
5.4 3.1 0.332465809580308
5.4 3.2 0.332703248268244
5.4 3.3 0.333154562644113
5.4 3.4 0.333977634003971
5.4 3.5 0.335418012715321
5.4 3.6 0.337837093039956
5.4 3.7 0.341736649566928
5.4 3.8 0.347771020836869
5.4 3.9 0.356736324344968
5.4 4 0.369526670490461
5.4 4.1 0.387051592634109
5.4 4.2 0.410117080522824
5.4 4.3 0.439283447219985
5.4 4.4 0.474723935416655
5.4 4.5 0.516114694281496
5.4 4.6 0.562586128752082
5.4 4.7 0.612756149912977
5.4 4.8 0.664849002807881
5.4 4.9 0.716883467169645
5.4 5 0.76689722116522
5.4 5.1 0.813165354326611
5.4 5.2 0.854373135109715
5.4 5.3 0.889715283142621
5.4 5.4 0.918912086022137
5.4 5.5 0.94215112219862
5.4 5.6 0.959977044258845
5.4 5.7 0.973157958358113
5.4 5.8 0.98255528508546
5.4 5.9 0.989016739337599
5.4 6 0.993302428965674
5.4 6.1 0.996045062406389
5.4 6.2 0.997738845204402
5.4 6.3 0.998748494554548
5.4 6.4 0.999329499336976
5.4 6.5 0.99965231285423
5.4 6.6 0.999825512231857
5.4 6.7 0.999915258532871
5.4 6.8 0.999960175341784
5.4 6.9 0.999981890532442
5.4 7 0.999992032339875
5.4 7.1 0.999996608416587
5.4 7.2 0.999998603320358
5.4 7.3 0.999999443595648
5.4 7.4 0.999999785582012
5.4 7.5 0.99999992007416
5.4 7.6 0.999999971183079
5.4 7.7 0.999999989951016
5.4 7.8 0.999999996610843
5.4 7.9 0.999999998894554
5.4 8 0.999999999651308
5.5 2 0.377044227017505
5.5 2.1 0.377044236254113
5.5 2.2 0.377044264415435
5.5 2.3 0.377044346717005
5.5 2.4 0.377044577285765
5.5 2.5 0.377045196518948
5.5 2.6 0.37704679091102
5.5 2.7 0.37705072687031
5.5 2.8 0.377060043307527
5.5 2.9 0.377081189105556
5.5 3 0.377127215450501
5.5 3.1 0.377223295349664
5.5 3.2 0.377415666548794
5.5 3.3 0.377785128206187
5.5 3.4 0.37846584041205
5.5 3.5 0.379669125216397
5.5 3.6 0.38171007805979
5.5 3.7 0.385032151750194
5.5 3.8 0.390221977552039
5.5 3.9 0.398004538517649
5.5 4 0.409208747544816
5.5 4.1 0.424696746496008
5.5 4.2 0.445257324731064
5.5 4.3 0.471473888312132
5.5 4.4 0.503587952608579
5.5 4.5 0.541386633221094
5.5 4.6 0.584143590954834
5.5 4.7 0.630635430552292
5.5 4.8 0.679240477233711
5.5 4.9 0.728107889713161
5.5 5 0.775367785174066
5.5 5.1 0.819342878226062
5.5 5.2 0.858722284337027
5.5 5.3 0.892668378443936
5.5 5.4 0.920844423860161
5.5 5.5 0.943368756037796
5.5 5.6 0.960715482265521
5.5 5.7 0.973588727955328
5.5 5.8 0.982796891896168
5.5 5.9 0.989146975363922
5.5 6 0.993369875137401
5.5 6.1 0.996078609324828
5.5 6.2 0.997754866516088
5.5 6.3 0.998755839495959
5.5 6.4 0.999332731029636
5.5 6.5 0.999653677249294
5.5 6.6 0.999826064874591
5.5 6.7 0.999915473254939
5.5 6.8 0.999960255357858
5.5 6.9 0.999981919127603
5.5 7 0.999992042138705
5.5 7.1 0.999996611636013
5.5 7.2 0.999998604334423
5.5 7.3 0.999999443901844
5.5 7.4 0.999999785670635
5.5 7.5 0.999999920098745
5.5 7.6 0.999999971189616
5.5 7.7 0.999999989952681
5.5 7.8 0.99999999661125
5.5 7.9 0.999999998894649
5.5 8 0.999999999651329
5.6 2 0.423569127899082
5.6 2.1 0.423569134417022
5.6 2.2 0.423569154521635
5.6 2.3 0.423569213959902
5.6 2.4 0.423569382398778
5.6 2.5 0.423569839957072
5.6 2.6 0.423571031478741
5.6 2.7 0.423574006115415
5.6 2.8 0.42358112593629
5.6 2.9 0.423597465325045
5.6 3 0.423633420753385
5.6 3.1 0.423709293776658
5.6 3.2 0.423862839975033
5.6 3.3 0.424160867448906
5.6 3.4 0.424715720970231
5.6 3.5 0.425706660330612
5.6 3.6 0.427404540983428
5.6 3.7 0.430195838971062
5.6 3.8 0.434599308000885
5.6 3.9 0.441266261471376
5.6 4 0.450954863807135
5.6 4.1 0.464471143882479
5.6 4.2 0.482575390820508
5.6 4.3 0.505861652125327
5.6 4.4 0.534628209461937
5.6 4.5 0.568764925152051
5.6 4.6 0.607685777558831
5.6 4.7 0.65032948010106
5.6 4.8 0.695237997029739
5.6 4.9 0.740705075848901
5.6 5 0.784969725345437
5.6 5.1 0.826418273389549
5.6 5.2 0.86375685750717
5.6 5.3 0.896124371280744
5.6 5.4 0.923131155201633
5.6 5.5 0.944826133429061
5.6 5.6 0.961609544556112
5.6 5.7 0.97411639826392
5.6 5.8 0.983096358078214
5.6 5.9 0.989310333483906
5.6 6 0.993455496417766
5.6 6.1 0.996121714603133
5.6 6.2 0.997775704867087
5.6 6.3 0.998765510492315
5.6 6.4 0.999337038847254
5.6 6.5 0.999655518596168
5.6 6.6 0.999826820018015
5.6 6.7 0.999915770332775
5.6 6.8 0.999960367455518
5.6 6.9 0.999981959692748
5.6 7 0.999992056215048
5.6 7.1 0.99999661631942
5.6 7.2 0.999998605828346
5.6 7.3 0.999999444358671
5.6 7.4 0.999999785804541
5.6 7.5 0.999999920136367
5.6 7.6 0.999999971199747
5.6 7.7 0.999999989955296
5.6 7.8 0.999999996611896
5.6 7.9 0.999999998894802
5.6 8 0.999999999651364
5.7 2 0.47118589889463
5.7 2.1 0.471185903418464
5.7 2.2 0.471185917536545
5.7 2.3 0.471185959764757
5.7 2.4 0.471186080826441
5.7 2.5 0.47118641349211
5.7 2.6 0.471187289742118
5.7 2.7 0.4711895022752
5.7 2.8 0.471194857991765
5.7 2.9 0.471207287027821
5.7 3 0.471234942243021
5.7 3.1 0.471293944126713
5.7 3.2 0.471414651950207
5.7 3.3 0.471651472415972
5.7 3.4 0.472097080556386
5.7 3.5 0.472901301299692
5.7 3.6 0.474293580844507
5.7 3.7 0.476605912336303
5.7 3.8 0.48029053118495
5.7 3.9 0.485924355069723
5.7 4 0.494191105125095
5.7 4.1 0.505833523554892
5.7 4.2 0.521572918252978
5.7 4.3 0.542001233593476
5.7 4.4 0.567460384343297
5.7 4.5 0.597931840135667
5.7 4.6 0.632963086568086
5.7 4.7 0.671654123231217
5.7 4.8 0.7127162063054
5.7 4.9 0.754598937758231
5.7 5 0.795665093167177
5.7 5.1 0.834380483975962
5.7 5.2 0.86948257666519
5.7 5.3 0.900097609287155
5.7 5.4 0.925789401855059
5.7 5.5 0.946539501997411
5.7 5.6 0.962672765626861
5.7 5.7 0.974751237404864
5.7 5.8 0.983460905092185
5.7 5.9 0.989511568339701
5.7 6 0.993562241162047
5.7 6.1 0.996176106926921
5.7 6.2 0.997802321200124
5.7 6.3 0.998778014955701
5.7 6.4 0.999342677662186
5.7 6.5 0.999657958807887
5.7 6.6 0.999827833240296
5.7 6.7 0.999916173930433
5.7 6.8 0.999960521659548
5.7 6.9 0.999982016198015
5.7 7 0.999992076070367
5.7 7.1 0.999996623009219
5.7 7.2 0.999998607989349
5.7 7.3 0.999999445027887
5.7 7.4 0.9999997860032
5.7 7.5 0.999999920192894
5.7 7.6 0.999999971215163
5.7 7.7 0.999999989959325
5.7 7.8 0.999999996612906
5.7 7.9 0.999999998895044
5.7 8 0.99999999965142
5.8 2 0.519218695645553
5.8 2.1 0.519218698733362
5.8 2.2 0.519218708484126
5.8 2.3 0.519218737993502
5.8 2.4 0.519218823585285
5.8 2.5 0.519219061528507
5.8 2.6 0.51921969554935
5.8 2.7 0.519221314910207
5.8 2.8 0.519225279661503
5.8 2.9 0.519234585257972
5.8 3 0.519255524151159
5.8 3.1 0.519300696368436
5.8 3.2 0.519394134897471
5.8 3.3 0.519579465907971
5.8 3.4 0.519931975035527
5.8 3.5 0.520574999723105
5.8 3.6 0.521700011576507
5.8 3.7 0.523587995831201
5.8 3.8 0.526627437056013
5.8 3.9 0.531321926297466
5.8 4 0.538279058402138
5.8 4.1 0.548173030791072
5.8 4.2 0.561677087133996
5.8 4.3 0.579368761654613
5.8 4.4 0.601619605645541
5.8 4.5 0.628489278185738
5.8 4.6 0.659648457295928
5.8 4.7 0.694353360053884
5.8 4.8 0.731485877599109
5.8 4.9 0.769659062288223
5.8 5 0.807371852820848
5.8 5.1 0.84318439501486
5.8 5.2 0.875880177920585
5.8 5.3 0.904585083723411
5.8 5.4 0.928824910730735
5.8 5.5 0.94851811112544
5.8 5.6 0.963914668182471
5.8 5.7 0.975501396652076
5.8 5.8 0.983896749114622
5.8 5.9 0.989755025553949
5.8 6 0.993692935036724
5.8 6.1 0.996243509623329
5.8 6.2 0.997835706515441
5.8 6.3 0.998793892097894
5.8 6.4 0.999349925756881
5.8 6.5 0.999661134349506
5.8 6.6 0.999829168212092
5.8 6.7 0.999916712340812
5.8 6.8 0.999960729953283
5.8 6.9 0.999982093484142
5.8 7 0.999992103570602
5.8 7.1 0.999996632392029
5.8 7.2 0.999998611058709
5.8 7.3 0.999999445990478
5.8 7.4 0.999999786292587
5.8 7.5 0.999999920276286
5.8 7.6 0.999999971238196
5.8 7.7 0.999999989965422
5.8 7.8 0.999999996614453
5.8 7.9 0.99999999889542
5.8 8 0.999999999651507
5.9 2 0.566973740349928
5.9 2.1 0.56697374242243
5.9 2.2 0.566973749045127
5.9 2.3 0.566973769325936
5.9 2.4 0.566973828845831
5.9 2.5 0.566973996256287
5.9 2.6 0.566974447555551
5.9 2.7 0.566975613633292
5.9 2.8 0.566978501596422
5.9 2.9 0.566985357722033
5.9 3 0.567000960861381
5.9 3.1 0.567035002928525
5.9 3.2 0.567106208962777
5.9 3.3 0.567249013681448
5.9 3.4 0.567523627884852
5.9 3.5 0.568030023441336
5.9 3.6 0.568925547220069
5.9 3.7 0.570444418119627
5.9 3.8 0.572915343783629
5.9 3.9 0.576771323419931
5.9 4 0.582544168609373
5.9 4.1 0.590836411675745
5.9 4.2 0.60226600967885
5.9 4.3 0.61738489749804
5.9 4.4 0.636580212667297
5.9 4.5 0.659974903072343
5.9 4.6 0.687349635459394
5.9 4.7 0.718107822287059
5.9 4.8 0.751298917184193
5.9 4.9 0.785702861686504
5.9 5 0.81996391066829
5.9 5.1 0.852749495145135
5.9 5.2 0.882903380600118
5.9 5.3 0.909564228322853
5.9 5.4 0.932230029308074
5.9 5.5 0.95076254575993
5.9 5.6 0.965339507729752
5.9 5.7 0.976372034420852
5.9 5.8 0.984408531416685
5.9 5.9 0.990044295479358
5.9 6 0.993850084041185
5.9 6.1 0.996325535843969
5.9 6.2 0.997876829821966
5.9 6.3 0.998813688926044
5.9 6.4 0.999359074630851
5.9 6.5 0.999665192316859
5.9 6.6 0.999830895375166
5.9 6.7 0.999917417628408
5.9 6.8 0.999961006226933
5.9 6.9 0.999982197282909
5.9 7 0.999992140970442
5.9 7.1 0.999996645313821
5.9 7.2 0.999998615339329
5.9 7.3 0.999999447349983
5.9 7.4 0.9999997867065
5.9 7.5 0.999999920397084
5.9 7.6 0.999999971271987
5.9 7.7 0.999999989974482
5.9 7.8 0.99999999661678
5.9 7.9 0.999999998895994
5.9 8 0.999999999651642
6 2 0.613769239695633
6 2.1 0.613769241063353
6 2.2 0.613769245486372
6 2.3 0.613769259192979
6 2.4 0.613769299897761
6 2.5 0.613769415743721
6 2.6 0.613769731718886
6 2.7 0.613770557717322
6 2.8 0.613772627279337
6 2.9 0.613777597440858
6 3 0.61378903877202
6 3.1 0.613814286314689
6 3.2 0.613867696261158
6 3.3 0.613976016887782
6 3.4 0.614186643564631
6 3.5 0.614579340734875
6 3.6 0.615281402413751
6 3.7 0.616485048592392
6 3.8 0.618464130051034
6 3.9 0.62158522719742
6 4 0.626306615647023
6 4.1 0.633158242843946
6 4.2 0.642697725321312
6 4.3 0.655441895626949
6 4.4 0.671780152644667
6 4.5 0.691883222391554
6 4.6 0.715626471106823
6 4.7 0.74254809736408
6 4.8 0.771857834405787
6 4.9 0.802501595923198
6 5 0.833274311942758
6 5.1 0.862960975317998
6 5.2 0.890478610078359
6 5.3 0.914991892158578
6 5.4 0.935982404368113
6 5.5 0.9532634626798
6 5.6 0.966945211800491
6 5.7 0.97736451396301
6 5.8 0.984998761148018
6 5.9 0.990381854341604
6 6 0.994035659082682
6 6.1 0.996423567718957
6 6.2 0.997926574756051
6 6.3 0.998837929201866
6 6.4 0.999370414853075
6 6.5 0.999670284474446
6 6.6 0.999833089646748
6 6.7 0.999918324840426
6 6.8 0.999961366048358
6 6.9 0.999982334169925
6 7 0.999992190913837
6 7.1 0.999996662787469
6 7.2 0.999998621201153
6 7.3 0.999999449235299
6 7.4 0.999999787287799
6 7.5 0.999999920568892
6 7.6 0.99999997132066
6 7.7 0.999999989987698
6 7.8 0.999999996620219
6 7.9 0.999999998896851
6 8 0.999999999651847
6.1 2 0.658964445080721
6.1 2.1 0.658964445968118
6.1 2.2 0.658964448872465
6.1 2.3 0.658964457981024
6.1 2.4 0.658964485354797
6.1 2.5 0.658964564189615
6.1 2.6 0.658964781767672
6.1 2.7 0.658965357263197
6.1 2.8 0.658966816130598
6.1 2.9 0.658970360630281
6.1 3 0.658978614900835
6.1 3.1 0.65899703990945
6.1 3.2 0.659036464197658
6.1 3.3 0.659117331045535
6.1 3.4 0.65927635132299
6.1 3.5 0.659576154552833
6.1 3.6 0.660118093209146
6.1 3.7 0.661057435895566
6.1 3.8 0.662618749616015
6.1 3.9 0.665107507851385
6.1 4 0.668912363422913
6.1 4.1 0.67449186665425
6.1 4.2 0.682340541646236
6.1 4.3 0.692932711708611
6.1 4.4 0.706648115614115
6.1 4.5 0.723690003146688
6.1 4.6 0.744011976747528
6.1 4.7 0.767272006758015
6.1 4.8 0.792829106685444
6.1 4.9 0.819789998518957
6.1 5 0.847101569520728
6.1 5.1 0.873673384714692
6.1 5.2 0.898506679098137
6.1 5.3 0.920804715733632
6.1 5.4 0.94004461703004
6.1 5.5 0.956000904221639
6.1 5.6 0.968722644063023
6.1 5.7 0.978475763644435
6.1 5.8 0.985667326376486
6.1 5.9 0.990768725113076
6.1 6 0.994250879290369
6.1 6.1 0.996538627786561
6.1 6.2 0.997985668444415
6.1 6.3 0.998867076675945
6.1 6.4 0.999384218316458
6.1 6.5 0.999676559273888
6.1 6.6 0.999835827090098
6.1 6.7 0.999919470730123
6.1 6.8 0.999961826220618
6.1 6.9 0.999982511430901
6.1 7 0.999992256401978
6.1 7.1 0.999996685988996
6.1 7.2 0.999998629082991
6.1 7.3 0.999999451802456
6.1 7.4 0.99999978808939
6.1 7.5 0.999999920808827
6.1 7.6 0.9999999713895
6.1 7.7 0.999999990006629
6.1 7.8 0.999999996625209
6.1 7.9 0.999999998898112
6.1 8 0.999999999652152
6.2 2 0.701985800692038
6.2 2.1 0.701985801258043
6.2 2.2 0.701985803132975
6.2 2.3 0.701985809084161
6.2 2.4 0.701985827184492
6.2 2.5 0.701985879937599
6.2 2.6 0.701986027271307
6.2 2.7 0.701986421604774
6.2 2.8 0.701987433064024
6.2 2.9 0.701989919476213
6.2 3 0.701995777560578
6.2 3.1 0.702009006187288
6.2 3.2 0.702037639435388
6.2 3.3 0.702097047380793
6.2 3.4 0.702215204318506
6.2 3.5 0.702440492746401
6.2 3.6 0.702852314486914
6.2 3.7 0.703574082846233
6.2 3.8 0.704787007619452
6.2 3.9 0.706741565640776
6.2 4 0.709762040612479
6.2 4.1 0.714238652214454
6.2 4.2 0.72060234192193
6.2 4.3 0.729279837891051
6.2 4.4 0.740631222322194
6.2 4.5 0.754878052140777
6.2 4.6 0.772035460150272
6.2 4.7 0.791864487516538
6.2 4.8 0.81385944191818
6.2 4.9 0.837278844494445
6.2 5 0.861218754794894
6.2 5.1 0.88471670032141
6.2 5.2 0.90686643873469
6.2 5.3 0.9269210095949
6.2 5.4 0.944364888407434
6.2 5.5 0.95894432266838
6.2 5.6 0.970655305592201
6.2 5.7 0.979697884105299
6.2 5.8 0.986411130917137
6.2 5.9 0.991204194132233
6.2 6 0.99449601481237
6.2 6.1 0.996671253678592
6.2 6.2 0.998054607919849
6.2 6.3 0.99890149490935
6.2 6.4 0.999400717774856
6.2 6.5 0.999684152124357
6.2 6.6 0.999839180600387
6.2 6.7 0.999920891978912
6.2 6.8 0.999962404105499
6.2 6.9 0.999982736826949
6.2 7 0.999992340720864
6.2 7.1 0.999996716238824
6.2 7.2 0.999998639489178
6.2 7.3 0.999999455234768
6.2 7.4 0.999999789174737
6.2 7.5 0.99999992113783
6.2 7.6 0.999999971485098
6.2 7.7 0.999999990033253
6.2 7.8 0.999999996632316
6.2 7.9 0.99999999889993
6.2 8 0.999999999652598
6.3 2 0.742348412896759
6.3 2.1 0.74234841325163
6.3 2.2 0.742348414441487
6.3 2.3 0.742348418264044
6.3 2.4 0.742348430030919
6.3 2.5 0.742348464738836
6.3 2.6 0.742348562838863
6.3 2.7 0.742348828541935
6.3 2.8 0.742349518186687
6.3 2.9 0.742351233609176
6.3 3 0.742355322917844
6.3 3.1 0.742364665762849
6.3 3.2 0.742385124425987
6.3 3.3 0.742428064596756
6.3 3.4 0.742514453802441
6.3 3.5 0.742681058219337
6.3 3.6 0.742989070762833
6.3 3.7 0.743534992308436
6.3 3.8 0.744462673448001
6.3 3.9 0.74597415330802
6.3 4 0.748335563979278
6.3 4.1 0.751873407299992
6.3 4.2 0.756956618453698
6.3 4.3 0.763961601101109
6.3 4.4 0.773221040266269
6.3 4.5 0.784962253750296
6.3 4.6 0.799245822966829
6.3 4.7 0.815918437119964
6.3 4.8 0.83459361423048
6.3 4.9 0.854669467670815
6.3 5 0.875384671898017
6.3 5.1 0.895904401259414
6.3 5.2 0.915420199357526
6.3 5.3 0.933244080123881
6.3 5.4 0.948878885926275
6.3 5.5 0.962053384530698
6.3 5.6 0.972719550563202
6.3 5.7 0.981018070275822
6.3 5.8 0.987223908804713
6.3 5.9 0.991685618982252
6.3 6 0.994770231268807
6.3 6.1 0.996821388765722
6.3 6.2 0.998133590778393
6.3 6.3 0.998941406907854
6.3 6.4 0.999420085073789
6.3 6.5 0.999693174463842
6.3 6.6 0.999843214786865
6.3 6.7 0.99992262296085
6.3 6.8 0.999963116714626
6.3 6.9 0.999983018252312
6.3 7 0.999992447323023
6.3 7.1 0.999996754964931
6.3 7.2 0.999998652979627
6.3 7.3 0.999999459740738
6.3 7.4 0.999999790617676
6.3 7.5 0.999999921580794
6.3 7.6 0.999999971615449
6.3 7.7 0.99999999007002
6.3 7.8 0.999999996642255
6.3 7.9 0.999999998902505
6.3 8 0.999999999653237
6.4 2 0.779671528224392
6.4 2.1 0.779671528443088
6.4 2.2 0.779671529185325
6.4 2.3 0.779671531598931
6.4 2.4 0.779671539119001
6.4 2.5 0.779671561569228
6.4 2.6 0.779671625789905
6.4 2.7 0.779671801824081
6.4 2.8 0.779672264205581
6.4 2.9 0.779673428062058
6.4 3 0.779676235492074
6.4 3.1 0.77968272549513
6.4 3.2 0.779697104346742
6.4 3.3 0.779727637015754
6.4 3.4 0.779789779076682
6.4 3.5 0.779911008237351
6.4 3.6 0.780137707780974
6.4 3.7 0.780544094230403
6.4 3.8 0.781242482966742
6.4 3.9 0.782393152664633
6.4 4 0.784210873925289
6.4 4.1 0.786964193436152
6.4 4.2 0.790963366272787
6.4 4.3 0.796533961443162
6.4 4.4 0.803975911705946
6.4 4.5 0.813511861367167
6.4 4.6 0.825233113341028
6.4 4.7 0.839054782410798
6.4 4.8 0.854692374493448
6.4 4.9 0.871669013014012
6.4 5 0.889356198141809
6.4 5.1 0.907042910471384
6.4 5.2 0.924020522824455
6.4 5.3 0.939666787967905
6.4 5.4 0.953512543231424
6.4 5.5 0.965279544766991
6.4 5.6 0.97488534472925
6.4 5.7 0.982418888994721
6.4 5.8 0.988096254986826
6.4 5.9 0.992208357862438
6.4 6 0.995071496740565
6.4 6.1 0.996988301792836
6.4 6.2 0.998222457508948
6.4 6.3 0.998986858457905
6.4 6.4 0.999442409941438
6.4 6.5 0.999703702447915
6.4 6.6 0.999847980372444
6.4 6.7 0.999924693159517
6.4 6.8 0.999963979598401
6.4 6.9 0.999983363289179
6.4 7 0.999992579661911
6.4 7.1 0.999996803646058
6.4 7.2 0.999998670152108
6.4 7.3 0.999999465549155
6.4 7.4 0.999999792501293
6.4 7.5 0.999999922166391
6.4 7.6 0.999999971789967
6.4 7.7 0.999999990119873
6.4 7.8 0.999999996655904
6.4 7.9 0.999999998906086
6.4 8 0.999999999654138
6.5 2 0.813687270663101
6.5 2.1 0.813687270795565
6.5 2.2 0.813687271250658
6.5 2.3 0.813687272748648
6.5 2.4 0.813687277472922
6.5 2.5 0.813687291748339
6.5 2.6 0.813687333079867
6.5 2.7 0.813687447743227
6.5 2.8 0.8136877525543
6.5 2.9 0.813688529003006
6.5 3 0.813690424331869
6.5 3.1 0.813694857975682
6.5 3.2 0.813704797302279
6.5 3.3 0.813726151807886
6.5 3.4 0.813770123780787
6.5 3.5 0.813856906810928
6.5 3.6 0.814021073794782
6.5 3.7 0.814318753998378
6.5 3.8 0.814836181530413
6.5 3.9 0.815698382129434
6.5 4 0.817075755321389
6.5 4.1 0.819185385965254
6.5 4.2 0.822283529080715
6.5 4.3 0.826646350592356
6.5 4.4 0.832538002107974
6.5 4.5 0.840168365039871
6.5 4.6 0.849646636054865
6.5 4.7 0.860940136444013
6.5 4.8 0.87384893838955
6.5 4.9 0.888005130321581
6.5 5 0.902900740535651
6.5 5.1 0.917941608126124
6.5 5.2 0.932517828415429
6.5 5.3 0.946076983243785
6.5 5.4 0.958185692525348
6.5 5.5 0.968568296745835
6.5 5.6 0.977117537990529
6.5 5.7 0.983878917627895
6.5 5.8 0.989015890946221
6.5 5.9 0.99276584074399
6.5 6 0.995396567931738
6.5 6.1 0.997170547176165
6.5 6.2 0.998320652799464
6.5 6.3 0.999037689315795
6.5 6.4 0.999467681499752
6.5 6.5 0.999715766286465
6.5 6.6 0.999853508560175
6.5 6.7 0.9999271244148
6.5 6.8 0.999965005594908
6.5 6.9 0.9999837786779
6.5 7 0.999992740982853
6.5 7.1 0.999996863734999
6.5 7.2 0.999998691616202
6.5 7.3 0.999999472901003
6.5 7.4 0.999999794915656
6.5 7.5 0.999999922926527
6.5 7.6 0.999999972019385
6.5 7.7 0.999999990186243
6.5 7.8 0.999999996674308
6.5 7.9 0.999999998910977
6.5 8 0.999999999655384
6.6 2 0.844242494347684
6.6 2.1 0.844242494426537
6.6 2.2 0.844242494700782
6.6 2.3 0.844242495614585
6.6 2.4 0.844242498531806
6.6 2.5 0.844242507454578
6.6 2.6 0.844242533603511
6.6 2.7 0.844242607028279
6.6 2.8 0.844242804578295
6.6 2.9 0.844243313873386
6.6 3 0.844244572023889
6.6 3.1 0.844247550402273
6.6 3.2 0.844254306961678
6.6 3.3 0.844268995714185
6.6 3.4 0.844299599408812
6.6 3.5 0.844360709012401
6.6 3.6 0.844477661594542
6.6 3.7 0.844692194600103
6.6 3.8 0.845069404255532
6.6 3.9 0.845705170693476
6.6 4 0.846732386375908
6.6 4.1 0.848323494040783
6.6 4.2 0.850686352077574
6.6 4.3 0.854050722522329
6.6 4.4 0.858644055682653
6.6 4.5 0.864657757221831
6.6 4.6 0.87220832373388
6.6 4.7 0.881300695431662
6.6 4.8 0.891802730496542
6.6 4.9 0.903438889214535
6.6 5 0.915807750069364
6.6 5.1 0.928422556603339
6.6 5.2 0.940768160238481
6.6 5.3 0.95236335894087
6.6 5.4 0.962816213568992
6.6 5.5 0.971861926221268
6.6 5.6 0.97937756477223
6.6 5.7 0.985373710014714
6.6 5.8 0.989968159721625
6.6 5.9 0.993349788912511
6.6 6 0.995741065192057
6.6 6.1 0.9973659745465
6.6 6.2 0.998427212006182
6.6 6.3 0.99909351615117
6.6 6.4 0.999495774710179
6.6 6.5 0.999729341374366
6.6 6.6 0.999859805909796
6.6 6.7 0.999929928235297
6.6 6.8 0.999966203531848
6.6 6.9 0.999984269735544
6.6 7 0.999992934080634
6.6 7.1 0.999996936564438
6.6 7.2 0.999998717959266
6.6 7.3 0.999999482038041
6.6 7.4 0.999999797954297
6.6 7.5 0.999999923895356
6.6 7.6 0.999999972315508
6.6 7.7 0.999999990273003
6.6 7.8 0.999999996698673
6.6 7.9 0.999999998917535
6.6 8 0.999999999657075
6.7 2 0.87129418574609
6.7 2.1 0.87129418579222
6.7 2.2 0.871294185954637
6.7 2.3 0.871294186502497
6.7 2.4 0.871294188272997
6.7 2.5 0.871294193754799
6.7 2.6 0.871294210016284
6.7 2.7 0.871294256234873
6.7 2.8 0.871294382099393
6.7 2.9 0.871294710520685
6.7 3 0.871295531651562
6.7 3.1 0.871297498899067
6.7 3.2 0.871302015215111
6.7 3.3 0.871311951002291
6.7 3.4 0.871332898281712
6.7 3.5 0.871375221238972
6.7 3.6 0.871457174080582
6.7 3.7 0.871609267098468
6.7 3.8 0.871879806487101
6.7 3.9 0.87234106839695
6.7 4 0.873094912782946
6.7 4.1 0.874275927642623
6.7 4.2 0.876049678203103
6.7 4.3 0.878603665923749
6.7 4.4 0.882129495934792
6.7 4.5 0.886796619240767
6.7 4.6 0.892720597918763
6.7 4.7 0.899931457534628
6.7 4.8 0.908349385131475
6.7 4.9 0.917774909843358
6.7 5 0.927898352489673
6.7 5.1 0.938329115461602
6.7 5.2 0.948640447159586
6.7 5.3 0.958421215290274
6.7 5.4 0.967324342547801
6.7 5.5 0.975102538156428
6.7 5.6 0.981625436049598
6.7 5.7 0.986877018662584
6.7 5.8 0.990936719345394
6.7 5.9 0.993950573701118
6.7 6 0.996099637146623
6.7 6.1 0.997571791547207
6.7 6.2 0.998540776892025
6.7 6.3 0.999153730341294
6.7 6.4 0.999526443735793
6.7 6.5 0.999744342343239
6.7 6.6 0.999866850305272
6.7 6.7 0.99993310344991
6.7 6.8 0.999967576999484
6.7 6.9 0.999984839769251
6.7 7 0.999993161040265
6.7 7.1 0.999997023240514
6.7 7.2 0.999998749705735
6.7 7.3 0.999999493188322
6.7 7.4 0.999999801709418
6.7 7.5 0.999999925107818
6.7 7.6 0.999999972690808
6.7 7.7 0.999999990384362
6.7 7.8 0.999999996730344
6.7 7.9 0.999999998926169
6.7 8 0.999999999659331
6.8 2 0.894899338989408
6.8 2.1 0.894899339015927
6.8 2.2 0.894899339110454
6.8 2.3 0.894899339433255
6.8 2.4 0.894899340489315
6.8 2.5 0.89489934379934
6.8 2.6 0.894899353738976
6.8 2.7 0.894899382335649
6.8 2.8 0.894899461162874
6.8 2.9 0.894899669354362
6.8 3 0.894900196203876
6.8 3.1 0.89490147369702
6.8 3.2 0.8949044418829
6.8 3.3 0.894911050292844
6.8 3.4 0.894925149341589
6.8 3.5 0.894953975315864
6.8 3.6 0.895010455327463
6.8 3.7 0.895116512082907
6.8 3.8 0.895307379520311
6.8 3.9 0.895636605068691
6.8 4 0.896180910636535
6.8 4.1 0.897043492240568
6.8 4.2 0.898353843415264
6.8 4.3 0.900262064337075
6.8 4.4 0.902926148314294
6.8 4.5 0.906492071417458
6.8 4.6 0.911068525331026
6.8 4.7 0.916700353524759
6.8 4.8 0.923346425288665
6.8 4.9 0.930868025942873
6.8 5 0.939032378029254
6.8 5.1 0.947532759871982
6.8 5.2 0.956022649880097
6.8 5.3 0.964157640500149
6.8 5.4 0.971636765799468
6.8 5.5 0.978235092872332
6.8 5.6 0.983821852133291
6.8 5.7 0.988362171834729
6.8 5.8 0.991904380655101
6.8 5.9 0.994557689444361
6.8 6 0.996466205880963
6.8 6.1 0.997784678349841
6.8 6.2 0.998659641891102
6.8 6.3 0.999217512399578
6.8 6.4 0.999559323673867
6.8 6.5 0.999760620989354
6.8 6.6 0.999874588560109
6.8 6.7 0.999936634479838
6.8 6.8 0.999969123326227
6.8 6.9 0.999985489540724
6.8 7 0.999993422982984
6.8 7.1 0.999997124531971
6.8 7.2 0.999998787272281
6.8 7.3 0.999999506549315
6.8 7.4 0.999999806265982
6.8 7.5 0.999999926597707
6.8 7.6 0.999999973157843
6.8 7.7 0.999999990524704
6.8 7.8 0.999999996770768
6.8 7.9 0.999999998937329
6.8 8 0.999999999662284
6.9 2 0.915200583653964
6.9 2.1 0.915200583668945
6.9 2.2 0.915200583723007
6.9 2.3 0.915200583909913
6.9 2.4 0.915200584528959
6.9 2.5 0.915200586493213
6.9 2.6 0.915200592464353
6.9 2.7 0.915200609854772
6.9 2.8 0.915200658379724
6.9 2.9 0.915200788107208
6.9 3 0.915201120399905
6.9 3.1 0.915201935934036
6.9 3.2 0.915203853751439
6.9 3.3 0.915208175186503
6.9 3.4 0.915217505943579
6.9 3.5 0.915236811716222
6.9 3.6 0.915275090042701
6.9 3.7 0.915347822627244
6.9 3.8 0.915480266292747
6.9 3.9 0.915711406867549
6.9 4 0.916098024608409
6.9 4.1 0.916717846396202
6.9 4.2 0.917670316685555
6.9 4.3 0.919073314281407
6.9 4.4 0.921054412614544
6.9 4.5 0.923736191443151
6.9 4.6 0.927216626154729
6.9 4.7 0.931547396183017
6.9 4.8 0.936714499731586
6.9 4.9 0.942626179307935
6.9 5 0.949112369031467
6.9 5.1 0.955937626626598
6.9 5.2 0.962826323451682
6.9 5.3 0.969495684947855
6.9 5.4 0.975690150661917
6.9 5.5 0.981210187629368
6.9 5.6 0.985930251053366
6.9 5.7 0.989803485610841
6.9 5.8 0.992854018194619
6.9 5.9 0.995160302217753
6.9 6 0.996834274333715
6.9 6.1 0.99800094656301
6.9 6.2 0.998781828882139
6.9 6.3 0.999283863138228
6.9 6.4 0.999593941331602
6.9 6.5 0.999777968711458
6.9 6.6 0.999882936095381
6.9 6.7 0.999940490483404
6.9 6.8 0.999970832886822
6.9 6.9 0.999986216842432
6.9 7 0.999993719843242
6.9 7.1 0.999997240764892
6.9 7.2 0.999998830922372
6.9 7.3 0.999999522269781
6.9 7.4 0.999999811694992
6.9 7.5 0.999999928395361
6.9 7.6 0.999999973728509
6.9 7.7 0.999999990698368
6.9 7.8 0.999999996821427
6.9 7.9 0.999999998951493
6.9 8 0.99999999966608
7 2 0.932409041243734
7 2.1 0.932409041252049
7 2.2 0.932409041282432
7 2.3 0.932409041388776
7 2.4 0.932409041745371
7 2.5 0.93240904289088
7 2.6 0.932409046416173
7 2.7 0.932409056809952
7 2.8 0.932409086168973
7 2.9 0.932409165621626
7 3 0.932409371629252
7 3.1 0.932409883400767
7 3.2 0.932411101540836
7 3.3 0.932413879703135
7 3.4 0.9324199508234
7 3.5 0.932432663679392
7 3.6 0.932458172678794
7 3.7 0.93250722204687
7 3.8 0.932597603144156
7 3.9 0.932757206264144
7 4 0.933027316490445
7 4.1 0.933465437289849
7 4.2 0.934146548927035
7 4.3 0.935161473718688
7 4.4 0.936611117656275
7 4.5 0.938595945635172
7 4.6 0.941201151271396
7 4.7 0.944479414702241
7 4.8 0.948434493526984
7 4.9 0.953009633793003
7 5 0.958084470581486
7 5.1 0.963482566488503
7 5.2 0.968989306774748
7 5.3 0.974377225421786
7 5.4 0.979433834025359
7 5.5 0.983986351310977
7 5.6 0.987918615713923
7 5.7 0.991177586993686
7 5.8 0.99376947413359
7 5.9 0.995747826801625
7 6 0.997197270128304
7 6.1 0.998216730007641
7 6.2 0.998905185199931
7 6.3 0.999351649823965
7 6.4 0.99962973477157
7 6.5 0.999796123651978
7 6.6 0.999891778941932
7 6.7 0.999944625559706
7 6.8 0.999972688853731
7 6.9 0.999987016242748
7 7 0.999994050203263
7 7.1 0.999997371734268
7 7.2 0.999998880724559
7 7.3 0.999999540431923
7 7.4 0.999999818046472
7 7.5 0.999999930525099
7 7.6 0.999999974413175
7 7.7 0.999999990909375
7 7.8 0.999999996883764
7 7.9 0.999999998969145
7 8 0.99999999967087
7.1 2 0.946785921787903
7.1 2.1 0.946785921792438
7.1 2.2 0.946785921809215
7.1 2.3 0.94678592186867
7.1 2.4 0.946785922070518
7.1 2.5 0.946785922726982
7.1 2.6 0.9467859247723
7.1 2.7 0.946785930877233
7.1 2.8 0.946785948334628
7.1 2.9 0.946785996160674
7.1 3 0.946786121689883
7.1 3.1 0.946786437357114
7.1 3.2 0.946787197907912
7.1 3.3 0.946788953611169
7.1 3.4 0.946792836982052
7.1 3.5 0.946801067227556
7.1 3.6 0.946817781012623
7.1 3.7 0.946850305282864
7.1 3.8 0.946910954387043
7.1 3.9 0.947019331966178
7.1 4 0.94720492758335
7.1 4.1 0.947509524216061
7.1 4.2 0.947988626742954
7.1 4.3 0.948710890333958
7.1 4.4 0.949754518812279
7.1 4.5 0.951199956264787
7.1 4.6 0.953118967026759
7.1 4.7 0.955561290453885
7.1 4.8 0.958541185895613
7.1 4.9 0.962026941972298
7.1 5 0.965936420470567
7.1 5.1 0.970140744014275
7.1 5.2 0.974476456439733
7.1 5.3 0.978764365201789
7.1 5.4 0.982831487966103
7.1 5.5 0.986531678374026
7.1 5.6 0.989760892560149
7.1 5.7 0.992464535272682
7.1 5.8 0.994636376154158
7.1 5.9 0.996310480927705
7.1 6 0.997548895661461
7.1 6.1 0.998428190993442
7.1 6.2 0.999027496854653
7.1 6.3 0.99941966384526
7.1 6.4 0.999666080367359
7.1 6.5 0.999814782228716
7.1 6.6 0.999900978082552
7.1 6.7 0.999948980098299
7.1 6.8 0.999974667465697
7.1 6.9 0.999987879045868
7.1 7 0.999994411209202
7.1 7.1 0.99999751664355
7.1 7.2 0.9999989365192
7.1 7.3 0.999999561035614
7.1 7.4 0.99999982534275
7.1 7.5 0.999999933002602
7.1 7.6 0.999999975219743
7.1 7.7 0.999999991161109
7.1 7.8 0.999999996959079
7.1 7.9 0.999999998990744
7.1 8 0.999999999676807
7.2 2 0.95862426204929
7.2 2.1 0.95862426205172
7.2 2.2 0.958624262060822
7.2 2.3 0.958624262093484
7.2 2.4 0.95862426220575
7.2 2.5 0.958624262575421
7.2 2.6 0.958624263741511
7.2 2.7 0.958624267265296
7.2 2.8 0.958624277466568
7.2 2.9 0.95862430575928
7.2 3 0.958624380935106
7.2 3.1 0.958624572305037
7.2 3.2 0.958625039039625
7.2 3.3 0.95862612966721
7.2 3.4 0.958628571427827
7.2 3.5 0.958633809364694
7.2 3.6 0.958644575480199
7.2 3.7 0.958665779151494
7.2 3.8 0.958705794689618
7.2 3.9 0.958778159072173
7.2 4 0.958903563668857
7.2 4.1 0.959111825202248
7.2 4.2 0.959443282186366
7.2 4.3 0.959948855608539
7.2 4.4 0.960687946244538
7.2 4.5 0.961723532112273
7.2 4.6 0.963114346573987
7.2 4.7 0.964904820177852
7.2 4.8 0.967114374155176
7.2 4.9 0.969728358917288
7.2 5 0.972693112237627
7.2 5.1 0.975917061190939
7.2 5.2 0.979278541915387
7.2 5.3 0.982639373005535
7.2 5.4 0.985861696312578
7.2 5.5 0.988824704682054
7.2 5.6 0.991437920674279
7.2 5.7 0.993648653356864
7.2 5.8 0.995442800895594
7.2 5.9 0.996839768750059
7.2 6 0.997883453544329
7.2 6.1 0.998631723848782
7.2 6.2 0.99914660708318
7.2 6.3 0.999486685027581
7.2 6.4 0.999702325225255
7.2 6.5 0.999833614241099
7.2 6.6 0.999910375891714
7.2 6.7 0.99995348324199
7.2 6.8 0.999976738837004
7.2 6.9 0.999988793493394
7.2 7 0.999994798586746
7.2 7.1 0.999997674081743
7.2 7.2 0.99999899789806
7.2 7.3 0.999999583986557
7.2 7.4 0.999999833572776
7.2 7.5 0.999999935832509
7.2 7.6 0.999999976152716
7.2 7.7 0.999999991455993
7.2 7.8 0.999999997048427
7.2 7.9 0.999999999016694
7.2 8 0.999999999684031
7.3 2 0.968231983563798
7.3 2.1 0.968231983565078
7.3 2.2 0.96823198356993
7.3 2.3 0.968231983587559
7.3 2.4 0.968231983648912
7.3 2.5 0.968231983853458
7.3 2.6 0.968231984506722
7.3 2.7 0.968231986505375
7.3 2.8 0.9682319923633
7.3 2.9 0.96823200881137
7.3 3 0.968232053055787
7.3 3.1 0.968232167076102
7.3 3.2 0.968232448586572
7.3 3.3 0.968233114479104
7.3 3.4 0.968234623586726
7.3 3.5 0.96823790040562
7.3 3.6 0.968244717684084
7.3 3.7 0.968258307287081
7.3 3.8 0.968284264079325
7.3 3.9 0.968331770882778
7.3 4 0.968415087925721
7.3 4.1 0.968555110672068
7.3 4.2 0.968780619886733
7.3 4.3 0.969128673428552
7.3 4.4 0.969643498763278
7.3 4.5 0.970373330695001
7.3 4.6 0.971364968271822
7.3 4.7 0.97265639407068
7.3 4.8 0.974268496872412
7.3 4.9 0.976197551536375
7.3 5 0.978410381309682
7.3 5.1 0.980843861427275
7.3 5.2 0.983409586980838
7.3 5.3 0.986003307725921
7.3 5.4 0.988517489847281
7.3 5.5 0.99085451096366
7.3 5.6 0.992937825988472
7.3 5.7 0.994719014852722
7.3 5.8 0.996179733128973
7.3 5.9 0.997328854161877
7.3 6 0.998196119567492
7.3 6.1 0.998824137821735
7.3 6.2 0.999260529710941
7.3 6.3 0.999551546921921
7.3 6.4 0.999737822177738
7.3 6.5 0.999852280308679
7.3 6.6 0.999919804186216
7.3 6.7 0.999958056304445
7.3 6.8 0.999978868272718
7.3 6.9 0.999989745209983
7.3 7 0.999995206764778
7.3 7.1 0.999997842044544
7.3 7.2 0.999999064200406
7.3 7.3 0.999999609090097
7.3 7.4 0.999999842688172
7.3 7.5 0.999999939006461
7.3 7.6 0.99999997721237
7.3 7.7 0.999999991795169
7.3 7.8 0.999999997152502
7.3 7.9 0.999999999047306
7.3 8 0.999999999692662
7.4 2 0.975917152621132
7.4 2.1 0.975917152621794
7.4 2.2 0.975917152624335
7.4 2.3 0.975917152633683
7.4 2.4 0.975917152666626
7.4 2.5 0.975917152777831
7.4 2.6 0.975917153137424
7.4 2.7 0.975917154251322
7.4 2.8 0.975917157556743
7.4 2.9 0.975917166953188
7.4 3 0.975917192542721
7.4 3.1 0.975917259304916
7.4 3.2 0.975917426174064
7.4 3.3 0.97591782575687
7.4 3.4 0.975918742465621
7.4 3.5 0.975920757390183
7.4 3.6 0.975925000638957
7.4 3.7 0.975933562347929
7.4 3.8 0.975950114528341
7.4 3.9 0.975980776060282
7.4 4 0.976035199765908
7.4 4.1 0.976127765530663
7.4 4.2 0.976278632382867
7.4 4.3 0.976514263321877
7.4 4.4 0.97686694311444
7.4 4.5 0.977372830949322
7.4 4.6 0.978068287283491
7.4 4.7 0.978984602864629
7.4 4.8 0.980141776562986
7.4 4.9 0.981542492931224
7.4 5 0.983167746701685
7.4 5.1 0.984975478584291
7.4 5.2 0.986903059888373
7.4 5.3 0.988873588821752
7.4 5.4 0.990804986080116
7.4 5.5 0.992620117868912
7.4 5.6 0.994255892576499
7.4 5.7 0.995669571181128
7.4 5.8 0.996841294499645
7.4 5.9 0.997772797695733
7.4 6 0.998483141744181
7.4 6.1 0.999002804022049
7.4 6.2 0.999367547457258
7.4 6.3 0.999613197278024
7.4 6.4 0.999771964239899
7.4 6.5 0.99987045011504
7.4 6.6 0.99992909320584
7.4 6.7 0.999962616871472
7.4 6.8 0.999981017997065
7.4 6.9 0.999990717868527
7.4 7 0.999995629104395
7.4 7.1 0.999998018001707
7.4 7.2 0.99999913452776
7.4 7.3 0.99999963605195
7.4 7.4 0.999999852601644
7.4 7.5 0.999999942501891
7.4 7.6 0.999999978394124
7.4 7.7 0.999999992178226
7.4 7.8 0.999999997271536
7.4 7.9 0.999999999082764
7.4 8 0.999999999702786
7.5 2 0.981975998057153
7.5 2.1 0.981975998057489
7.5 2.2 0.981975998058797
7.5 2.3 0.981975998063667
7.5 2.4 0.981975998081046
7.5 2.5 0.981975998140446
7.5 2.6 0.98197599833493
7.5 2.7 0.981975998944909
7.5 2.8 0.981976000777578
7.5 2.9 0.981976006052304
7.5 3 0.981976020595782
7.5 3.1 0.981976059010362
7.5 3.2 0.98197615621579
7.5 3.3 0.981976391861279
7.5 3.4 0.981976939141657
7.5 3.5 0.981978156871926
7.5 3.6 0.981980752793619
7.5 3.7 0.981986054804095
7.5 3.8 0.981996430275213
7.5 3.9 0.98201588403704
7.5 4 0.982050833357035
7.5 4.1 0.982110995692167
7.5 4.2 0.982210232677434
7.5 4.3 0.982367087605499
7.5 4.4 0.982604668797254
7.5 4.5 0.982949518287806
7.5 4.6 0.983429214169167
7.5 4.7 0.984068709550781
7.5 4.8 0.984885782827427
7.5 4.9 0.985886370141409
7.5 5 0.987060831518305
7.5 5.1 0.988382227104302
7.5 5.2 0.989807372784625
7.5 5.3 0.991280842864624
7.5 5.4 0.992741350792363
7.5 5.5 0.994129300015276
7.5 5.6 0.995393974004175
7.5 5.7 0.996498940519931
7.5 5.8 0.997424740928109
7.5 5.9 0.998168646303165
7.5 6 0.998741952684294
7.5 6.1 0.999165755408757
7.5 6.2 0.999466287166214
7.5 6.3 0.999670748514191
7.5 6.4 0.999804215489688
7.5 6.5 0.999887819831874
7.5 6.6 0.999938080729118
7.5 6.7 0.999967083231747
7.5 6.8 0.999983149152763
7.5 6.9 0.999991694024714
7.5 7 0.999996058218716
7.5 7.1 0.999998199007888
7.5 7.2 0.999999207777578
7.5 7.3 0.999999664486493
7.5 7.4 0.999999863188161
7.5 7.5 0.999999946281732
7.5 7.6 0.999999979688199
7.5 7.7 0.99999999260301
7.5 7.8 0.999999997405213
7.5 7.9 0.99999999912309
7.5 8 0.999999999714447
7.6 2 0.986683925358374
7.6 2.1 0.986683925358542
7.6 2.2 0.986683925359203
7.6 2.3 0.986683925361696
7.6 2.4 0.986683925370703
7.6 2.5 0.986683925401876
7.6 2.6 0.98668392550522
7.6 2.7 0.986683925833412
7.6 2.8 0.986683926831795
7.6 2.9 0.986683929741206
7.6 3 0.98668393786308
7.6 3.1 0.986683959582968
7.6 3.2 0.986684015226632
7.6 3.3 0.986684151791102
7.6 3.4 0.986684472884212
7.6 3.5 0.986685196158909
7.6 3.6 0.986686757014574
7.6 3.7 0.986689984155945
7.6 3.8 0.986696376763524
7.6 3.9 0.986708509322941
7.6 4 0.986730571642457
7.6 4.1 0.986769011773677
7.6 4.2 0.986833186596798
7.6 4.3 0.986935846875548
7.6 4.4 0.987093212775719
7.6 4.5 0.987324367341057
7.6 4.6 0.98764974818182
7.6 4.7 0.988088676881093
7.6 4.8 0.988656122466323
7.6 4.9 0.989359193843841
7.6 5 0.990194099333027
7.6 5.1 0.991144390695809
7.6 5.2 0.992181149848572
7.6 5.3 0.993265381186254
7.6 5.4 0.994352336644759
7.6 5.5 0.995396988242646
7.6 5.6 0.99635954631945
7.6 5.7 0.997209911910026
7.6 5.8 0.997930251088418
7.6 5.9 0.998515381049047
7.6 6 0.998971192259121
7.6 6.1 0.9993117342785
7.6 6.2 0.999555766698615
7.6 6.3 0.999723514214736
7.6 6.4 0.999834135775832
7.6 6.5 0.999904127201109
7.6 6.6 0.99994662051317
7.6 6.7 0.999971378742204
7.6 6.8 0.999985223895888
7.6 6.9 0.999992656050373
7.6 7 0.99999648635816
7.6 7.1 0.999998381849188
7.6 7.2 0.999999282694056
7.6 7.3 0.999999693932471
7.6 7.4 0.999999874289079
7.6 7.5 0.99999995029521
7.6 7.6 0.999999981079632
7.6 7.7 0.999999993065537
7.6 7.8 0.999999997552616
7.6 7.9 0.999999999168124
7.6 8 0.999999999727635
7.7 2 0.990289488004763
7.7 2.1 0.990289488004846
7.7 2.2 0.990289488005174
7.7 2.3 0.990289488006427
7.7 2.4 0.990289488011014
7.7 2.5 0.990289488027086
7.7 2.6 0.990289488081038
7.7 2.7 0.990289488254526
7.7 2.8 0.990289488788905
7.7 2.9 0.990289490365649
7.7 3 0.990289494822289
7.7 3.1 0.990289506889182
7.7 3.2 0.990289538188222
7.7 3.3 0.990289615959785
7.7 3.4 0.990289801087647
7.7 3.5 0.990290223261301
7.7 3.6 0.990291145591553
7.7 3.7 0.990293076073514
7.7 3.8 0.990296947200351
7.7 3.9 0.990304384413779
7.7 4 0.990318074102677
7.7 4.1 0.990342217434568
7.7 4.2 0.990383014738154
7.7 4.3 0.990449069975727
7.7 4.4 0.99055154927079
7.7 4.5 0.99070389499176
7.7 4.6 0.990920916385798
7.7 4.7 0.991217172041725
7.7 4.8 0.991604730335666
7.7 4.9 0.992090610364855
7.7 5 0.992674403487437
7.7 5.1 0.993346674064238
7.7 5.2 0.994088672196657
7.7 5.3 0.994873645048627
7.7 5.4 0.995669658425435
7.7 5.5 0.996443446671389
7.7 5.6 0.997164526745695
7.7 5.7 0.997808739892133
7.7 5.8 0.998360546849703
7.7 5.9 0.998813741548484
7.7 6 0.999170646850136
7.7 6.1 0.999440187468473
7.7 6.2 0.999635411459031
7.7 6.3 0.999771029334071
7.7 6.4 0.999861397402978
7.7 6.5 0.999919163041159
7.7 6.6 0.999954589330896
7.7 6.7 0.999975435741736
7.7 6.8 0.999987207399162
7.7 6.9 0.999993587082833
7.7 7 0.999996905827902
7.7 7.1 0.999998563213378
7.7 7.2 0.999999357932256
7.7 7.3 0.99999972387514
7.7 7.4 0.999999885719034
7.7 7.5 0.99999995447971
7.7 7.6 0.999999982548681
7.7 7.7 0.999999993560049
7.7 7.8 0.999999997712212
7.7 7.9 0.999999999217502
7.7 8 0.99999999974228
7.8 2 0.993011059603793
7.8 2.1 0.993011059603832
7.8 2.2 0.993011059603992
7.8 2.3 0.993011059604612
7.8 2.4 0.993011059606906
7.8 2.5 0.993011059615046
7.8 2.6 0.993011059642718
7.8 2.7 0.993011059732817
7.8 2.8 0.99301106001383
7.8 2.9 0.99301106085339
7.8 3 0.993011063256119
7.8 3.1 0.993011069843177
7.8 3.2 0.993011087142027
7.8 3.3 0.993011130661961
7.8 3.4 0.993011235546384
7.8 3.5 0.993011477700718
7.8 3.6 0.993012013298875
7.8 3.7 0.99301314820231
7.8 3.8 0.993015452080753
7.8 3.9 0.993019932815458
7.8 4 0.993028281855648
7.8 4.1 0.993043186808619
7.8 4.2 0.993068680984678
7.8 4.3 0.993110461881655
7.8 4.4 0.993176069096408
7.8 4.5 0.993274781961579
7.8 4.6 0.993417098746263
7.8 4.7 0.993613711315741
7.8 4.8 0.993873998354454
7.8 4.9 0.994204211245044
7.8 5 0.994605679007932
7.8 5.1 0.995073455482784
7.8 5.2 0.99559582035832
7.8 5.3 0.996154902147855
7.8 5.4 0.996728439284493
7.8 5.5 0.997292405123653
7.8 5.6 0.997823987596773
7.8 5.7 0.998304315758426
7.8 5.8 0.99872039824159
7.8 5.9 0.999065956166425
7.8 6 0.999341119213716
7.8 6.1 0.999551214753778
7.8 6.2 0.999705041783608
7.8 6.3 0.999813053615137
7.8 6.4 0.999885792877249
7.8 6.5 0.999932778371061
7.8 6.6 0.999961892050163
7.8 6.7 0.999979198682882
7.8 6.8 0.999989069588012
7.8 6.9 0.999994471905576
7.8 7 0.999997309400248
7.8 7.1 0.999998739868844
7.8 7.2 0.999999432130124
7.8 7.3 0.999999753773086
7.8 7.4 0.999999897275137
7.8 7.5 0.999999958763644
7.8 7.6 0.99999998407162
7.8 7.7 0.999999994079187
7.8 7.8 0.999999997881881
7.8 7.9 0.999999999270663
7.8 8 0.999999999758247
7.9 2 0.995035802575368
7.9 2.1 0.995035802575386
7.9 2.2 0.995035802575463
7.9 2.3 0.995035802575764
7.9 2.4 0.995035802576891
7.9 2.5 0.995035802580942
7.9 2.6 0.995035802594884
7.9 2.7 0.995035802640855
7.9 2.8 0.995035802786036
7.9 2.9 0.995035803225235
7.9 3 0.995035804497952
7.9 3.1 0.99503580803083
7.9 3.2 0.995035817424957
7.9 3.3 0.99503584135377
7.9 3.4 0.995035899742474
7.9 3.5 0.995036036227752
7.9 3.6 0.995036341859646
7.9 3.7 0.995036997513108
7.9 3.8 0.995038344986316
7.9 3.9 0.995040998025393
7.9 4 0.995046002435646
7.9 4.1 0.995055046348122
7.9 4.2 0.995070705306258
7.9 4.3 0.995096681875668
7.9 4.4 0.995137969796034
7.9 4.5 0.995200847533281
7.9 4.6 0.995292599306819
7.9 4.7 0.995420887682004
7.9 4.8 0.995592768609736
7.9 4.9 0.995813441310786
7.9 5 0.996084937555776
7.9 5.1 0.996405039211225
7.9 5.2 0.99676672908956
7.9 5.3 0.997158403816391
7.9 5.4 0.997564915411202
7.9 5.5 0.997969302286356
7.9 5.6 0.998354885040055
7.9 5.7 0.998707300991075
7.9 5.8 0.999016069678942
7.9 5.9 0.999275412645827
7.9 6 0.999484248267663
7.9 6.1 0.999645480030301
7.9 6.2 0.999764835239357
7.9 6.3 0.999849559478178
7.9 6.4 0.999907233778149
7.9 6.5 0.999944886848427
7.9 6.6 0.999968464431113
7.9 6.7 0.999982626245893
7.9 6.8 0.999990786466732
7.9 6.9 0.999995297684085
7.9 7 0.999997690685312
7.9 7.1 0.999998908836253
7.9 7.2 0.999999503982026
7.9 7.3 0.999999783087429
7.9 7.4 0.999999908747714
7.9 7.5 0.999999963070101
7.9 7.6 0.999999985621875
7.9 7.7 0.999999994614318
7.9 7.8 0.999999998058993
7.9 7.9 0.999999999326862
7.9 8 0.999999999775342
8 2 0.996520450413354
8 2.1 0.996520450413363
8 2.2 0.996520450413399
8 2.3 0.996520450413542
8 2.4 0.996520450414086
8 2.5 0.996520450416066
8 2.6 0.996520450422968
8 2.7 0.996520450446009
8 2.8 0.996520450519696
8 2.9 0.996520450745419
8 3 0.996520451407748
8 3.1 0.996520453269368
8 3.2 0.99652045828161
8 3.3 0.996520471208738
8 3.4 0.996520503146679
8 3.5 0.99652057873461
8 3.6 0.996520750108587
8 3.7 0.996521122320813
8 3.8 0.996521896776406
8 3.9 0.99652344050037
8 4 0.996526388432481
8 4.1 0.996531781649045
8 4.2 0.996541234635574
8 4.3 0.996557108756829
8 4.4 0.996582648643203
8 4.5 0.996622018739046
8 4.6 0.996680167757048
8 4.7 0.996762459719994
8 4.8 0.996874049111647
8 4.9 0.997019043376584
8 5 0.997199575228078
8 5.1 0.997414975060294
8 5.2 0.997661260997155
8 5.3 0.997931129171259
8 5.4 0.99821452765831
8 5.5 0.998499756981073
8 5.6 0.998774900730271
8 5.7 0.999029298418201
8 5.8 0.999254761333156
8 5.9 0.99944630476365
8 6 0.999602300505614
8 6.1 0.999724097406878
8 6.2 0.999815269946267
8 6.3 0.999880707074992
8 6.4 0.999925741717736
8 6.5 0.999955462720194
8 6.6 0.999974273574653
8 6.7 0.999985692318312
8 6.8 0.999992340941223
8 6.9 0.999996054498451
8 7 0.999998044428574
8 7.1 0.999999067537828
8 7.2 0.999999572307205
8 7.3 0.999999811310782
8 7.4 0.999999919931654
8 7.5 0.999999967320961
8 7.6 0.999999987171398
8 7.7 0.999999995155955
8 7.8 0.999999998240528
8 7.9 0.999999999385195
8 8 0.999999999793311
8.1 2 0.997593402703514
8.1 2.1 0.997593402703518
8.1 2.2 0.997593402703534
8.1 2.3 0.997593402703602
8.1 2.4 0.997593402703859
8.1 2.5 0.99759340270481
8.1 2.6 0.997593402708166
8.1 2.7 0.997593402719512
8.1 2.8 0.997593402756253
8.1 2.9 0.99759340287022
8.1 3 0.997593403208843
8.1 3.1 0.997593404172592
8.1 3.2 0.997593406800005
8.1 3.3 0.997593413661435
8.1 3.4 0.997593430825814
8.1 3.5 0.997593471957278
8.1 3.6 0.997593566376133
8.1 3.7 0.997593774005029
8.1 3.8 0.997594211393881
8.1 3.9 0.997595094077583
8.1 4 0.997596800580161
8.1 4.1 0.99759996126022
8.1 4.2 0.997605569589978
8.1 4.3 0.997615103565342
8.1 4.4 0.997630631384678
8.1 4.5 0.997654861294737
8.1 4.6 0.997691086214335
8.1 4.7 0.997742976644791
8.1 4.8 0.997814196616927
8.1 4.9 0.997907858322864
8.1 5 0.998025884883337
8.1 5.1 0.998168402063762
8.1 5.2 0.99833330848207
8.1 5.3 0.998516162548991
8.1 5.4 0.998710467161703
8.1 5.5 0.998908341104742
8.1 5.6 0.99910146573542
8.1 5.7 0.999282119854158
8.1 5.8 0.999444091092567
8.1 5.9 0.999583287380555
8.1 6 0.999697954336155
8.1 6.1 0.999788505142698
8.1 6.2 0.999857056141557
8.1 6.3 0.999906810172318
8.1 6.4 0.999941433042482
8.1 6.5 0.999964534921002
8.1 6.6 0.999979316200464
8.1 6.7 0.999988385848366
8.1 6.8 0.99999372310265
8.1 6.9 0.999996735638467
8.1 7 0.999998366712748
8.1 7.1 0.999999213911887
8.1 7.2 0.999999636107239
8.1 7.3 0.9999998379934
8.1 7.4 0.999999930637339
8.1 7.5 0.999999971441122
8.1 7.6 0.99999998869219
8.1 7.7 0.99999999569426
8.1 7.8 0.99999999842323
8.1 7.9 0.999999999444647
8.1 8 0.999999999811858
8.2 2 0.99835766208625
8.2 2.1 0.998357662086252
8.2 2.2 0.99835766208626
8.2 2.3 0.998357662086291
8.2 2.4 0.998357662086411
8.2 2.5 0.998357662086859
8.2 2.6 0.998357662088462
8.2 2.7 0.99835766209395
8.2 2.8 0.998357662111946
8.2 2.9 0.998357662168474
8.2 3 0.998357662338551
8.2 3.1 0.998357662828706
8.2 3.2 0.99835766418181
8.2 3.3 0.998357667759837
8.2 3.4 0.998357676822928
8.2 3.5 0.99835769881338
8.2 3.6 0.998357749925346
8.2 3.7 0.998357863726663
8.2 3.8 0.998358106451483
8.2 3.9 0.99835860239188
8.2 4 0.998359573124619
8.2 4.1 0.998361393376851
8.2 4.2 0.99836466326062
8.2 4.3 0.998370290681628
8.2 4.4 0.998379569031179
8.2 4.5 0.998394225338815
8.2 4.6 0.998416406264065
8.2 4.7 0.998448568421792
8.2 4.8 0.998493250237917
8.2 4.9 0.998552726928745
8.2 5 0.998628585369001
8.2 5.1 0.998721292588201
8.2 5.2 0.998829857077035
8.2 5.3 0.998951682907966
8.2 5.4 0.99908268608876
8.2 5.5 0.999217684759206
8.2 5.6 0.999351005441499
8.2 5.7 0.999477188797948
8.2 5.8 0.999591650516562
8.2 5.9 0.999691165916497
8.2 6 0.999774095889864
8.2 6.1 0.99984033958711
8.2 6.2 0.999891063335695
8.2 6.3 0.999928296952659
8.2 6.4 0.999954499355897
8.2 6.5 0.999972178270402
8.2 6.6 0.999983615134577
8.2 6.7 0.999990709694405
8.2 6.8 0.999994929994472
8.2 6.9 0.999997337653736
8.2 7 0.99999865505264
8.2 7.1 0.999999346484506
8.2 7.2 0.999999694607885
8.2 7.3 0.99999986276428
8.2 7.4 0.999999940700199
8.2 7.5 0.999999975362456
8.2 7.6 0.9999999901578
8.2 7.7 0.999999996219578
8.2 7.8 0.999999998603779
8.2 7.9 0.999999999504144
8.2 8 0.999999999830654
8.3 2 0.998894205108067
8.3 2.1 0.998894205108068
8.3 2.2 0.998894205108071
8.3 2.3 0.998894205108085
8.3 2.4 0.99889420510814
8.3 2.5 0.998894205108348
8.3 2.6 0.9988942051091
8.3 2.7 0.998894205111708
8.3 2.8 0.998894205120367
8.3 2.9 0.99889420514791
8.3 3 0.998894205231827
8.3 3.1 0.998894205476726
8.3 3.2 0.998894206161309
8.3 3.3 0.998894207994362
8.3 3.4 0.998894212695865
8.3 3.5 0.998894224246789
8.3 3.6 0.998894251431204
8.3 3.7 0.998894312715871
8.3 3.8 0.998894445063994
8.3 3.9 0.998894718857832
8.3 4 0.998895261452541
8.3 4.1 0.998896291553503
8.3 4.2 0.998898165007576
8.3 4.3 0.998901429174177
8.3 4.4 0.998906877648716
8.3 4.5 0.998915590465555
8.3 4.6 0.998928938932629
8.3 4.7 0.998948531975167
8.3 4.8 0.998976085617851
8.3 4.9 0.999013211115009
8.3 5 0.999061139371231
8.3 5.1 0.999120424751003
8.3 5.2 0.999190691739273
8.3 5.3 0.999270493889355
8.3 5.4 0.999357339887759
8.3 5.5 0.999447906928614
8.3 5.6 0.999538415488519
8.3 5.7 0.999625096316498
8.3 5.8 0.99970465472387
8.3 5.9 0.99977463818704
8.3 6 0.999833640471863
8.3 6.1 0.999881319251692
8.3 6.2 0.999918249684435
8.3 6.3 0.999945669717516
8.3 6.4 0.999965186068017
8.3 6.5 0.999978502888256
8.3 6.6 0.9999872145218
8.3 6.7 0.999992678681097
8.3 6.8 0.999995964935655
8.3 6.9 0.999997860177024
8.3 7 0.999998908383468
8.3 7.1 0.999999464395069
8.3 7.2 0.999999747282587
8.3 7.3 0.999999885345607
8.3 7.4 0.999999949988099
8.3 7.5 0.999999979027146
8.3 7.6 0.999999991544705
8.3 7.7 0.99999999672295
8.3 7.8 0.999999998778972
8.3 7.9 0.999999999562607
8.3 8 0.999999999849359
8.4 2 0.999265459604412
8.4 2.1 0.999265459604412
8.4 2.2 0.999265459604414
8.4 2.3 0.99926545960442
8.4 2.4 0.999265459604445
8.4 2.5 0.999265459604539
8.4 2.6 0.999265459604886
8.4 2.7 0.999265459606103
8.4 2.8 0.999265459610196
8.4 2.9 0.999265459623379
8.4 3 0.999265459664053
8.4 3.1 0.999265459784255
8.4 3.2 0.999265460124508
8.4 3.3 0.999265461047068
8.4 3.4 0.999265463443115
8.4 3.5 0.999265469403953
8.4 3.6 0.999265483608768
8.4 3.7 0.999265516034164
8.4 3.8 0.999265586936668
8.4 3.9 0.999265735451516
8.4 4 0.999266033451247
8.4 4.1 0.999266606254554
8.4 4.2 0.99926766099361
8.4 4.3 0.999269521541817
8.4 4.4 0.999272665668606
8.4 4.5 0.999277755806805
8.4 4.6 0.999285650532236
8.4 4.7 0.999297381405441
8.4 4.8 0.999314081457917
8.4 4.9 0.999336859074935
8.4 5 0.999366624420828
8.4 5.1 0.999403892372346
8.4 5.2 0.999448601102402
8.4 5.3 0.999499992713208
8.4 5.4 0.99955659665681
8.4 5.5 0.999616337019299
8.4 5.6 0.999676755329522
8.4 5.7 0.999735310125117
8.4 5.8 0.999789693226544
8.4 5.9 0.999838098022623
8.4 6 0.99987938869899
8.4 6.1 0.999913146336776
8.4 6.2 0.999939598848225
8.4 6.3 0.999959466937975
8.4 6.4 0.999973771034827
8.4 6.5 0.999983642964076
8.4 6.6 0.999990174336912
8.4 6.7 0.999994317126817
8.4 6.8 0.999996836509546
8.4 6.9 0.999998305560286
8.4 7 0.999999126954009
8.4 7.1 0.999999567377505
8.4 7.2 0.999999793856996
8.4 7.3 0.999999905559706
8.4 7.4 0.99999995840601
8.4 7.5 0.999999982390137
8.4 7.6 0.999999992833413
8.4 7.7 0.999999997196574
8.4 7.8 0.999999998945893
8.4 7.9 0.999999999619015
8.4 8 0.999999999867635
8.5 2 0.999518647121078
8.5 2.1 0.999518647121078
8.5 2.2 0.999518647121079
8.5 2.3 0.999518647121082
8.5 2.4 0.999518647121093
8.5 2.5 0.999518647121135
8.5 2.6 0.999518647121292
8.5 2.7 0.99951864712185
8.5 2.8 0.99951864712375
8.5 2.9 0.999518647129948
8.5 3 0.999518647149314
8.5 3.1 0.99951864720727
8.5 3.2 0.999518647373398
8.5 3.3 0.999518647829531
8.5 3.4 0.999518649029138
8.5 3.5 0.999518652051122
8.5 3.6 0.999518659343262
8.5 3.7 0.999518676198412
8.5 3.8 0.999518713517391
8.5 3.9 0.999518792667498
8.5 4 0.999518953473854
8.5 4.1 0.999519266435002
8.5 4.2 0.999519849905606
8.5 4.3 0.999520891970971
8.5 4.4 0.999522674861801
8.5 4.5 0.999525597096126
8.5 4.6 0.999530185618334
8.5 4.7 0.999537088104107
8.5 4.8 0.999547035761656
8.5 4.9 0.999560770705814
8.5 5 0.999578939759385
8.5 5.1 0.999601967221418
8.5 5.2 0.999629929832495
8.5 5.3 0.999662463819345
8.5 5.4 0.999698732801564
8.5 5.5 0.999737474902511
8.5 5.6 0.999777129407335
8.5 5.7 0.99981602281467
8.5 5.8 0.999852577817972
8.5 5.9 0.999885502311916
8.5 6 0.99991392124436
8.5 6.1 0.999937429944785
8.5 6.2 0.999956067910973
8.5 6.3 0.999970230261357
8.5 6.4 0.999980544996597
8.5 6.5 0.999987745900358
8.5 6.6 0.999992564753016
8.5 6.7 0.999995656122829
8.5 6.8 0.999997557347386
8.5 6.9 0.999998678377027
8.5 7 0.999999312144332
8.5 7.1 0.999999655703322
8.5 7.2 0.999999834295833
8.5 7.3 0.999999923328513
8.5 7.4 0.999999965897768
8.5 7.5 0.999999985420545
8.5 7.6 0.999999994009243
8.5 7.7 0.999999997634151
8.5 7.8 0.999999999102055
8.5 7.9 0.999999999672455
8.5 8 0.999999999885168
8.6 2 0.999688830149408
8.6 2.1 0.999688830149408
8.6 2.2 0.999688830149408
8.6 2.3 0.999688830149409
8.6 2.4 0.999688830149414
8.6 2.5 0.999688830149433
8.6 2.6 0.999688830149502
8.6 2.7 0.999688830149754
8.6 2.8 0.99968883015062
8.6 2.9 0.999688830153483
8.6 3 0.99968883016254
8.6 3.1 0.999688830189989
8.6 3.2 0.999688830269669
8.6 3.3 0.999688830491209
8.6 3.4 0.999688831081214
8.6 3.5 0.999688832586289
8.6 3.6 0.999688836263892
8.6 3.7 0.999688844871446
8.6 3.8 0.999688864169236
8.6 3.9 0.999688905612418
8.6 4 0.999688990867703
8.6 4.1 0.999689158870865
8.6 4.2 0.999689476007908
8.6 4.3 0.999690049484319
8.6 4.4 0.999691042895814
8.6 4.5 0.999692691415287
8.6 4.6 0.999695312112247
8.6 4.7 0.999699303318899
8.6 4.8 0.999705126543161
8.6 4.9 0.999713266128429
8.6 5 0.999724166177578
8.6 5.1 0.999738150789751
8.6 5.2 0.999755340834475
8.6 5.3 0.999775585820852
8.6 5.4 0.999798430321826
8.6 5.5 0.999823129352731
8.6 5.6 0.999848716574508
8.6 5.7 0.999874115941376
8.6 5.8 0.999898275634487
8.6 5.9 0.99992029686821
8.6 6 0.999939531651961
8.6 6.1 0.999955632284748
8.6 6.2 0.999968548164502
8.6 6.3 0.999978478109514
8.6 6.4 0.999985795039738
8.6 6.5 0.999990962637746
8.6 6.6 0.999994460848515
8.6 6.7 0.999996730826471
8.6 6.8 0.999998142837421
8.6 6.9 0.999998984850923
8.6 7 0.999999466233088
8.6 7.1 0.999999730095762
8.6 7.2 0.999999868775122
8.6 7.3 0.999999938666314
8.6 7.4 0.999999972444996
8.6 7.5 0.999999988101967
8.6 7.6 0.999999995062701
8.6 7.7 0.999999998031117
8.6 7.8 0.999999999245511
8.6 7.9 0.999999999722167
8.6 8 0.999999999901686
8.7 2 0.99980157418938
8.7 2.1 0.99980157418938
8.7 2.2 0.99980157418938
8.7 2.3 0.999801574189381
8.7 2.4 0.999801574189383
8.7 2.5 0.999801574189391
8.7 2.6 0.999801574189421
8.7 2.7 0.999801574189532
8.7 2.8 0.99980157418992
8.7 2.9 0.999801574191219
8.7 3 0.99980157419538
8.7 3.1 0.99980157420815
8.7 3.2 0.99980157424569
8.7 3.3 0.999801574351388
8.7 3.4 0.999801574636446
8.7 3.5 0.999801575372813
8.7 3.6 0.99980157719483
8.7 3.7 0.999801581513137
8.7 3.8 0.999801591316639
8.7 3.9 0.999801612635311
8.7 4 0.999801657042677
8.7 4.1 0.999801745650218
8.7 4.2 0.999801915010779
8.7 4.3 0.999802225098917
8.7 4.4 0.999802768968628
8.7 4.5 0.999803682760477
8.7 4.6 0.999805153543078
8.7 4.7 0.999807421343797
8.7 4.8 0.999810771177197
8.7 4.9 0.999815511528074
8.7 5 0.999821938022422
8.7 5.1 0.999830284858983
8.7 5.2 0.999840671186434
8.7 5.3 0.999853053535615
8.7 5.4 0.999867196944444
8.7 5.5 0.999882675296719
8.7 5.6 0.99989890554044
8.7 5.7 0.99991521222639
8.7 5.8 0.999930910720669
8.7 5.9 0.999945392230505
8.7 6 0.999958193288528
8.7 6.1 0.999969036737528
8.7 6.2 0.999977838968253
8.7 6.3 0.999984686543754
8.7 6.4 0.99998979177778
8.7 6.5 0.999993439705217
8.7 6.6 0.999995938016056
8.7 6.7 0.999997577985227
8.7 6.8 0.999998609877225
8.7 6.9 0.99999923226908
8.7 7 0.999999592140883
8.7 7.1 0.999999791626094
8.7 7.2 0.999999897643919
8.7 7.3 0.999999951667141
8.7 7.4 0.999999978063587
8.7 7.5 0.999999990431769
8.7 7.6 0.999999995989478
8.7 7.7 0.999999998384734
8.7 7.8 0.999999999374911
8.7 7.9 0.999999999767575
8.7 8 0.999999999916964
8.8 2 0.999875190546192
8.8 2.1 0.999875190546192
8.8 2.2 0.999875190546192
8.8 2.3 0.999875190546193
8.8 2.4 0.999875190546193
8.8 2.5 0.999875190546197
8.8 2.6 0.99987519054621
8.8 2.7 0.999875190546258
8.8 2.8 0.999875190546429
8.8 2.9 0.999875190547007
8.8 3 0.999875190548885
8.8 3.1 0.999875190554721
8.8 3.2 0.999875190572094
8.8 3.3 0.999875190621631
8.8 3.4 0.999875190756919
8.8 3.5 0.999875191110825
8.8 3.6 0.999875191997585
8.8 3.7 0.99987519412583
8.8 3.8 0.999875199018408
8.8 3.9 0.999875209791967
8.8 4 0.999875232516247
8.8 4.1 0.999875278429201
8.8 4.2 0.999875367287769
8.8 4.3 0.999875532023333
8.8 4.4 0.999875824576378
8.8 4.5 0.999876322263667
8.8 4.6 0.999877133315962
8.8 4.7 0.999878399472874
8.8 4.8 0.999880293031835
8.8 4.9 0.999883005904018
8.8 5 0.999886729357396
8.8 5.1 0.999891625294514
8.8 5.2 0.999897792759159
8.8 5.3 0.999905236074667
8.8 5.4 0.999913842514294
8.8 5.5 0.999923376770738
8.8 5.6 0.999933496425148
8.8 5.7 0.999943787718188
8.8 5.8 0.999953815619013
8.8 5.9 0.999963178229158
8.8 6 0.999971554337933
8.8 6.1 0.999978734900146
8.8 6.2 0.999984633628591
8.8 6.3 0.999989277241316
8.8 6.4 0.999992780448943
8.8 6.5 0.999995313264816
8.8 6.6 0.999997068299665
8.8 6.7 0.99999823384674
8.8 6.8 0.999998975762377
8.8 6.9 0.999999428430319
8.8 7 0.999999693174627
8.8 7.1 0.99999984160328
8.8 7.2 0.999999921380175
8.8 7.3 0.999999962488557
8.8 7.4 0.999999982798322
8.8 7.5 0.999999992419534
8.8 7.6 0.999999996790085
8.8 7.7 0.999999998694043
8.8 7.8 0.999999999489522
8.8 7.9 0.9999999998083
8.8 8 0.99999999993084
8.9 2 0.99992256655021
8.9 2.1 0.99992256655021
8.9 2.2 0.99992256655021
8.9 2.3 0.99992256655021
8.9 2.4 0.99992256655021
8.9 2.5 0.999922566550211
8.9 2.6 0.999922566550217
8.9 2.7 0.999922566550237
8.9 2.8 0.999922566550311
8.9 2.9 0.999922566550565
8.9 3 0.999922566551397
8.9 3.1 0.999922566554016
8.9 3.2 0.999922566561914
8.9 3.3 0.999922566584718
8.9 3.4 0.999922566647789
8.9 3.5 0.999922566814871
8.9 3.6 0.999922567238821
8.9 3.7 0.999922568269189
8.9 3.8 0.99992257066783
8.9 3.9 0.999922576016397
8.9 4 0.99992258744027
8.9 4.1 0.999922610812342
8.9 4.2 0.999922656615296
8.9 4.3 0.99992274259717
8.9 4.4 0.99992289720888
8.9 4.5 0.999923163529649
8.9 4.6 0.999923602970288
8.9 4.7 0.999924297568275
8.9 4.8 0.99992534931411
8.9 4.9 0.999926874905357
8.9 5 0.999928994838222
8.9 5.1 0.999931816918083
8.9 5.2 0.999935415959439
8.9 5.3 0.999939813219522
8.9 5.4 0.999944960324939
8.9 5.5 0.999950732477337
8.9 5.6 0.99995693423784
8.9 5.7 0.999963318398329
8.9 5.8 0.999969615110353
8.9 5.9 0.99997556563502
8.9 6 0.999980953774345
8.9 6.1 0.999985628712329
8.9 6.2 0.999989515388706
8.9 6.3 0.999992611803355
8.9 6.4 0.999994975716566
8.9 6.5 0.99999670517414
8.9 6.6 0.999997917751431
8.9 6.7 0.999998732542357
8.9 6.8 0.999999257274033
8.9 6.9 0.99999958116655
8.9 7 0.999999772793435
8.9 7.1 0.999999881467137
8.9 7.2 0.999999940545293
8.9 7.3 0.9999999713337
8.9 7.4 0.999999986716319
8.9 7.5 0.99999999408488
8.9 7.6 0.999999997469212
8.9 7.7 0.999999998959709
8.9 7.8 0.9999999995892
8.9 7.9 0.999999999844166
8.9 8 0.999999999943215
9 2 0.999952616649129
9 2.1 0.999952616649129
9 2.2 0.999952616649129
9 2.3 0.999952616649129
9 2.4 0.999952616649129
9 2.5 0.99995261664913
9 2.6 0.999952616649132
9 2.7 0.999952616649141
9 2.8 0.999952616649172
9 2.9 0.999952616649281
9 3 0.999952616649643
9 3.1 0.999952616650798
9 3.2 0.999952616654325
9 3.3 0.999952616664636
9 3.4 0.999952616693519
9 3.5 0.999952616771002
9 3.6 0.9999526169701
9 3.7 0.999952617460122
9 3.8 0.999952618615308
9 3.9 0.999952621223762
9 4 0.999952626865492
9 4.1 0.999952638553583
9 4.2 0.999952661747878
9 4.3 0.9999527058368
9 4.4 0.999952786114175
9 4.5 0.999952926129966
9 4.6 0.999953160060038
9 4.7 0.999953534451139
9 4.8 0.999954108436587
9 4.9 0.999954951417772
9 5 0.999956137411831
9 5.1 0.999957735869221
9 5.2 0.9999597997287
9 5.3 0.999962352586433
9 5.4 0.999965377742572
9 5.5 0.999968812145999
9 5.6 0.999972547615448
9 5.7 0.999976440198565
9 5.8 0.999980326516621
9 5.9 0.999984044058978
9 6 0.999987451282067
9 6.1 0.999990443427868
9 6.2 0.999992961183322
9 6.3 0.99999499122365
9 6.4 0.999996559665831
9 6.5 0.999997720895779
9 6.6 0.99999854478294
9 6.7 0.999999104968376
9 6.8 0.999999469996352
9 6.9 0.999999697960951
9 7 0.99999983441088
9 7.1 0.999999912693023
9 7.2 0.999999955741287
9 7.3 0.999999978433324
9 7.4 0.999999989900039
9 7.5 0.999999995454941
9 7.6 0.999999998034894
9 7.7 0.999999999183768
9 7.8 0.999999999674323
9 7.9 0.999999999875182
9 8 0.999999999954051
9.1 2 0.999971402754469
9.1 2.1 0.999971402754469
9.1 2.2 0.999971402754469
9.1 2.3 0.999971402754469
9.1 2.4 0.999971402754469
9.1 2.5 0.999971402754469
9.1 2.6 0.99997140275447
9.1 2.7 0.999971402754474
9.1 2.8 0.999971402754487
9.1 2.9 0.999971402754533
9.1 3 0.999971402754688
9.1 3.1 0.999971402755188
9.1 3.2 0.999971402756734
9.1 3.3 0.999971402761314
9.1 3.4 0.999971402774306
9.1 3.5 0.999971402809601
9.1 3.6 0.999971402901446
9.1 3.7 0.999971403130363
9.1 3.8 0.99997140367686
9.1 3.9 0.9999714049265
9.1 4 0.999971407663504
9.1 4.1 0.999971413405491
9.1 4.2 0.999971424943996
9.1 4.3 0.999971447153647
9.1 4.4 0.999971488102615
9.1 4.5 0.999971560422513
9.1 4.6 0.999971682768846
9.1 4.7 0.999971881034434
9.1 4.8 0.999972188808548
9.1 4.9 0.999972646476561
9.1 5 0.999973298417667
9.1 5.1 0.99997418805167
9.1 5.2 0.999975351014239
9.1 5.3 0.999976807404953
9.1 5.4 0.999978554653277
9.1 5.5 0.99998056283511
9.1 5.6 0.999982774048064
9.1 5.7 0.999985106673962
9.1 5.8 0.999987464191145
9.1 5.9 0.999989746995004
9.1 6 0.999991864846307
9.1 6.1 0.999993747390374
9.1 6.2 0.999995350738702
9.1 6.3 0.999996659180673
9.1 6.4 0.999997682323656
9.1 6.5 0.999998448953228
9.1 6.6 0.999998999399569
9.1 6.7 0.999999378136952
9.1 6.8 0.999999627866263
9.1 6.9 0.999999785672555
9.1 7 0.999999881241941
9.1 7.1 0.99999993671348
9.1 7.2 0.999999967573552
9.1 7.3 0.999999984029331
9.1 7.4 0.999999992440486
9.1 7.5 0.99999999656175
9.1 7.6 0.999999998497579
9.1 7.7 0.999999999369324
9.1 7.8 0.999999999745704
9.1 7.9 0.999999999901517
9.1 8 0.999999999963369
9.2 2 0.999982978020033
9.2 2.1 0.999982978020033
9.2 2.2 0.999982978020033
9.2 2.3 0.999982978020033
9.2 2.4 0.999982978020033
9.2 2.5 0.999982978020034
9.2 2.6 0.999982978020034
9.2 2.7 0.999982978020035
9.2 2.8 0.999982978020041
9.2 2.9 0.99998297802006
9.2 3 0.999982978020125
9.2 3.1 0.999982978020338
9.2 3.2 0.999982978021004
9.2 3.3 0.999982978023002
9.2 3.4 0.999982978028741
9.2 3.5 0.999982978044534
9.2 3.6 0.99998297808615
9.2 3.7 0.999982978191195
9.2 3.8 0.999982978445153
9.2 3.9 0.999982979033229
9.2 4 0.99998298033757
9.2 4.1 0.999982983108602
9.2 4.2 0.999982988747403
9.2 4.3 0.999982999738249
9.2 4.4 0.99998302025831
9.2 4.5 0.999983056955571
9.2 4.6 0.999983119819356
9.2 4.7 0.999983222972839
9.2 4.8 0.999983385112243
9.2 4.9 0.999983629241362
9.2 5 0.999983981354459
9.2 5.1 0.999984467853344
9.2 5.2 0.999985111762115
9.2 5.3 0.999985928185941
9.2 5.4 0.999986919844454
9.2 5.5 0.999988073750315
9.2 5.6 0.999989360065271
9.2 5.7 0.999990733791725
9.2 5.8 0.999992139311237
9.2 5.9 0.999993517044823
9.2 6 0.999994810924423
9.2 6.1 0.999995975135431
9.2 6.2 0.99999697879911
9.2 6.3 0.999997807835065
9.2 6.4 0.999998463976887
9.2 6.5 0.999998961567776
9.2 6.6 0.999999323151823
9.2 6.7 0.999999574931537
9.2 6.8 0.999999742935713
9.2 6.9 0.999999850364663
9.2 7 0.999999916197016
9.2 7.1 0.999999954859527
9.2 7.2 0.999999976621093
9.2 7.3 0.999999988360807
9.2 7.4 0.999999994431123
9.2 7.5 0.999999997439772
9.2 7.6 0.999999998869192
9.2 7.7 0.999999999520219
9.2 7.8 0.999999999804478
9.2 7.9 0.999999999923474
9.2 8 0.999999999971235
9.3 2 0.999990007586339
9.3 2.1 0.999990007586339
9.3 2.2 0.999990007586339
9.3 2.3 0.999990007586339
9.3 2.4 0.999990007586339
9.3 2.5 0.999990007586339
9.3 2.6 0.999990007586339
9.3 2.7 0.99999000758634
9.3 2.8 0.999990007586342
9.3 2.9 0.99999000758635
9.3 3 0.999990007586376
9.3 3.1 0.999990007586465
9.3 3.2 0.999990007586747
9.3 3.3 0.999990007587603
9.3 3.4 0.999990007590094
9.3 3.5 0.999990007597034
9.3 3.6 0.999990007615557
9.3 3.7 0.999990007662904
9.3 3.8 0.999990007778826
9.3 3.9 0.999990008050668
9.3 4 0.999990008661259
9.3 4.1 0.999990009974882
9.3 4.2 0.99999001268184
9.3 4.3 0.999990018024849
9.3 4.4 0.999990028126397
9.3 4.5 0.999990046419682
9.3 4.6 0.999990078151963
9.3 4.7 0.999990130877506
9.3 4.8 0.999990214795584
9.3 4.9 0.999990342736489
9.3 5 0.999990529584143
9.3 5.1 0.999990790977994
9.3 5.2 0.999991141276221
9.3 5.3 0.999991590974259
9.3 5.4 0.999992144006455
9.3 5.5 0.999992795533392
9.3 5.6 0.999993530848254
9.3 5.7 0.999994325872018
9.3 5.8 0.999995149364821
9.3 5.9 0.999995966548972
9.3 6 0.999996743454803
9.3 6.1 0.999997451096561
9.3 6.2 0.999998068634867
9.3 6.3 0.999998584966772
9.3 6.4 0.999998998602812
9.3 6.5 0.99999931610186
9.3 6.6 0.999999549615363
9.3 6.7 0.99999971418079
9.3 6.8 0.999999825311581
9.3 6.9 0.999999897225396
9.3 7 0.999999941820384
9.3 7.1 0.999999968321861
9.3 7.2 0.999999983415008
9.3 7.3 0.999999991653196
9.3 7.4 0.999999995962856
9.3 7.5 0.999999998123744
9.3 7.6 0.999999999162275
9.3 7.7 0.999999999640713
9.3 7.8 0.999999999852
9.3 7.9 0.99999999994145
9.3 8 0.999999999977757
9.4 2 0.999994215137954
9.4 2.1 0.999994215137954
9.4 2.2 0.999994215137954
9.4 2.3 0.999994215137954
9.4 2.4 0.999994215137954
9.4 2.5 0.999994215137954
9.4 2.6 0.999994215137954
9.4 2.7 0.999994215137954
9.4 2.8 0.999994215137955
9.4 2.9 0.999994215137958
9.4 3 0.999994215137969
9.4 3.1 0.999994215138005
9.4 3.2 0.999994215138122
9.4 3.3 0.999994215138483
9.4 3.4 0.999994215139544
9.4 3.5 0.99999421514254
9.4 3.6 0.999994215150638
9.4 3.7 0.999994215171599
9.4 3.8 0.999994215223574
9.4 3.9 0.999994215347005
9.4 4 0.99999421562777
9.4 4.1 0.999994216239472
9.4 4.2 0.999994217515979
9.4 4.3 0.999994220067476
9.4 4.4 0.999994224952417
9.4 4.5 0.999994233910599
9.4 4.6 0.999994249646102
9.4 4.7 0.99999427612169
9.4 4.8 0.999994318791343
9.4 4.9 0.999994384664057
9.4 5 0.999994482075407
9.4 5.1 0.9999946200617
9.4 5.2 0.999994807297874
9.4 5.3 0.99999505067303
9.4 5.4 0.999995353713699
9.4 5.5 0.999995715181427
9.4 5.6 0.999996128217634
9.4 5.7 0.999996580347323
9.4 5.8 0.999997054481077
9.4 5.9 0.999997530811854
9.4 6 0.999997989263631
9.4 6.1 0.99999841199418
9.4 6.2 0.999998785439207
9.4 6.3 0.99999910151508
9.4 6.4 0.999999357825727
9.4 6.5 0.999999556967372
9.4 6.6 0.999999705214989
9.4 6.7 0.999999810958604
9.4 6.8 0.999999883231026
9.4 6.9 0.999999930563039
9.4 7 0.999999960266963
9.4 7.1 0.999999978130296
9.4 7.2 0.999999988425031
9.4 7.3 0.999999994110768
9.4 7.4 0.999999997120261
9.4 7.5 0.999999998646955
9.4 7.6 0.999999999389256
9.4 7.7 0.999999999735194
9.4 7.8 0.999999999889728
9.4 7.9 0.999999999955901
9.4 8 0.999999999983066
9.5 2 0.999996697320512
9.5 2.1 0.999996697320512
9.5 2.2 0.999996697320512
9.5 2.3 0.999996697320512
9.5 2.4 0.999996697320512
9.5 2.5 0.999996697320512
9.5 2.6 0.999996697320512
9.5 2.7 0.999996697320512
9.5 2.8 0.999996697320513
9.5 2.9 0.999996697320514
9.5 3 0.999996697320518
9.5 3.1 0.999996697320533
9.5 3.2 0.999996697320581
9.5 3.3 0.99999669732073
9.5 3.4 0.999996697321174
9.5 3.5 0.999996697322444
9.5 3.6 0.999996697325921
9.5 3.7 0.999996697335036
9.5 3.8 0.999996697357925
9.5 3.9 0.999996697412975
9.5 4 0.999996697539786
9.5 4.1 0.999996697819581
9.5 4.2 0.999996698410873
9.5 4.3 0.999996699607746
9.5 4.4 0.999996701928249
9.5 4.5 0.99999670623755
9.5 4.6 0.999996713902807
9.5 4.7 0.999996726962867
9.5 4.8 0.999996748276936
9.5 4.9 0.999996781596125
9.5 5 0.999996831488443
9.5 5.1 0.999996903051466
9.5 5.2 0.999997001376508
9.5 5.3 0.99999713078566
9.5 5.4 0.999997293939154
9.5 5.5 0.999997490983372
9.5 5.6 0.999997718950683
9.5 5.7 0.999997971606282
9.5 5.8 0.999998239855788
9.5 5.9 0.999998512696445
9.5 6 0.999998778552289
9.5 6.1 0.999999026726964
9.5 6.2 0.999999248674525
9.5 6.3 0.99999943884053
9.5 6.4 0.999999594944277
9.5 6.5 0.99999971771661
9.5 6.6 0.999999810229814
9.5 6.7 0.999999877023092
9.5 6.8 0.999999923229051
9.5 6.9 0.999999953856465
9.5 7 0.999999973309234
9.5 7.1 0.999999985148465
9.5 7.2 0.99999999205324
9.5 7.3 0.999999995912228
9.5 7.4 0.999999997979081
9.5 7.5 0.99999999903998
9.5 7.6 0.999999999561874
9.5 7.7 0.999999999807941
9.5 7.8 0.999999999919141
9.5 7.9 0.999999999967309
9.5 8 0.999999999987309
9.6 2 0.999998140569721
9.6 2.1 0.999998140569721
9.6 2.2 0.999998140569721
9.6 2.3 0.999998140569721
9.6 2.4 0.999998140569721
9.6 2.5 0.999998140569721
9.6 2.6 0.999998140569721
9.6 2.7 0.999998140569721
9.6 2.8 0.999998140569721
9.6 2.9 0.999998140569722
9.6 3 0.999998140569724
9.6 3.1 0.999998140569729
9.6 3.2 0.999998140569749
9.6 3.3 0.999998140569809
9.6 3.4 0.999998140569992
9.6 3.5 0.999998140570521
9.6 3.6 0.999998140571987
9.6 3.7 0.99999814057588
9.6 3.8 0.999998140585781
9.6 3.9 0.999998140609896
9.6 4 0.999998140666155
9.6 4.1 0.999998140791862
9.6 4.2 0.999998141060897
9.6 4.3 0.999998141612384
9.6 4.4 0.999998142695178
9.6 4.5 0.99999814473148
9.6 4.6 0.999998148399472
9.6 4.7 0.99999815472808
9.6 4.8 0.999998165186959
9.6 4.9 0.999998181743259
9.6 5 0.999998206847477
9.6 5.1 0.999998243309403
9.6 5.2 0.999998294037254
9.6 5.3 0.999998361641176
9.6 5.4 0.999998447943146
9.6 5.5 0.999998553478499
9.6 5.6 0.999998677104247
9.6 5.7 0.99999881583065
9.6 5.8 0.999998964956978
9.6 5.9 0.999999118524923
9.6 6 0.999999270021993
9.6 6.1 0.999999413198566
9.6 6.2 0.99999954283013
9.6 6.3 0.999999655271982
9.6 6.4 0.999999748711676
9.6 6.5 0.999999823104174
9.6 6.6 0.999999879849464
9.6 6.7 0.999999921320271
9.6 6.8 0.99999995035894
9.6 6.9 0.999999969841347
9.6 7 0.999999982365571
9.6 7.1 0.999999990080159
9.6 7.2 0.999999994633606
9.6 7.3 0.999999997209014
9.6 7.4 0.99999999860488
9.6 7.5 0.999999999329895
9.6 7.6 0.999999999690783
9.6 7.7 0.999999999862944
9.6 7.8 0.999999999941657
9.6 7.9 0.999999999976151
9.6 8 0.999999999990639
9.7 2 0.999998967658773
9.7 2.1 0.999998967658773
9.7 2.2 0.999998967658773
9.7 2.3 0.999998967658773
9.7 2.4 0.999998967658773
9.7 2.5 0.999998967658773
9.7 2.6 0.999998967658773
9.7 2.7 0.999998967658773
9.7 2.8 0.999998967658773
9.7 2.9 0.999998967658773
9.7 3 0.999998967658773
9.7 3.1 0.999998967658776
9.7 3.2 0.999998967658783
9.7 3.3 0.999998967658807
9.7 3.4 0.999998967658881
9.7 3.5 0.999998967659098
9.7 3.6 0.999998967659705
9.7 3.7 0.999998967661338
9.7 3.8 0.999998967665544
9.7 3.9 0.99999896767592
9.7 4 0.999998967700435
9.7 4.1 0.99999896775591
9.7 4.2 0.999998967876146
9.7 4.3 0.999998968125748
9.7 4.4 0.999998968622044
9.7 4.5 0.999998969567226
9.7 4.6 0.999998971291377
9.7 4.7 0.999998974303854
9.7 4.8 0.999998979345403
9.7 4.9 0.999998987427057
9.7 5 0.999998999836039
9.7 5.1 0.999999018086577
9.7 5.2 0.999999043797819
9.7 5.3 0.999999078494075
9.7 5.4 0.999999123343705
9.7 5.5 0.999999178877399
9.7 5.6 0.999999244746332
9.7 5.7 0.999999319586754
9.7 5.8 0.999999401043818
9.7 5.9 0.999999485974354
9.7 6 0.999999570803966
9.7 6.1 0.999999651972145
9.7 6.2 0.999999726374273
9.7 6.3 0.999999791710339
9.7 6.4 0.999999846676559
9.7 6.5 0.999999890978382
9.7 6.6 0.999999925187205
9.7 6.7 0.999999950494973
9.7 6.8 0.999999968433121
9.7 6.9 0.999999980615126
9.7 7 0.999999988541729
9.7 7.1 0.999999993483621
9.7 7.2 0.999999996435836
9.7 7.3 0.999999998125744
9.7 7.4 0.999999999052683
9.7 7.5 0.999999999539903
9.7 7.6 0.999999999785316
9.7 7.7 0.99999999990378
9.7 7.8 0.999999999958583
9.7 7.9 0.999999999982881
9.7 8 0.999999999993206
9.8 2 0.999999434819735
9.8 2.1 0.999999434819735
9.8 2.2 0.999999434819735
9.8 2.3 0.999999434819735
9.8 2.4 0.999999434819735
9.8 2.5 0.999999434819735
9.8 2.6 0.999999434819735
9.8 2.7 0.999999434819736
9.8 2.8 0.999999434819736
9.8 2.9 0.999999434819736
9.8 3 0.999999434819736
9.8 3.1 0.999999434819737
9.8 3.2 0.99999943481974
9.8 3.3 0.999999434819749
9.8 3.4 0.999999434819778
9.8 3.5 0.999999434819865
9.8 3.6 0.999999434820112
9.8 3.7 0.999999434820785
9.8 3.8 0.99999943482254
9.8 3.9 0.999999434826925
9.8 4 0.999999434837417
9.8 4.1 0.999999434861463
9.8 4.2 0.999999434914243
9.8 4.3 0.999999435025206
9.8 4.4 0.999999435248645
9.8 4.5 0.999999435679586
9.8 4.6 0.999999436475667
9.8 4.7 0.999999437884247
9.8 4.8 0.999999440271466
9.8 4.9 0.999999444146667
9.8 5 0.999999450172128
9.8 5.1 0.999999459146099
9.8 5.2 0.999999471948195
9.8 5.3 0.999999489441978
9.8 5.4 0.999999512339939
9.8 5.5 0.99999954104938
9.8 5.6 0.999999575529773
9.8 5.7 0.99999961519811
9.8 5.8 0.99999965891459
9.8 5.9 0.999999705065582
9.8 6 0.999999751737657
9.8 6.1 0.999999796952307
9.8 6.2 0.999999838914028
9.8 6.3 0.999999876220645
9.8 6.4 0.999999907995499
9.8 6.5 0.999999933922568
9.8 6.6 0.999999954190192
9.8 6.7 0.999999969369067
9.8 6.8 0.99999998026017
9.8 6.9 0.999999987747179
9.8 7 0.999999992678441
9.8 7.1 0.999999995790378
9.8 7.2 0.999999997672018
9.8 7.3 0.999999998762168
9.8 7.4 0.999999999367357
9.8 7.5 0.999999999689288
9.8 7.6 0.999999999853391
9.8 7.7 0.999999999933552
9.8 7.8 0.999999999971076
9.8 7.9 0.99999999998791
9.8 8 0.999999999995148
9.9 2 0.999999694886073
9.9 2.1 0.999999694886073
9.9 2.2 0.999999694886073
9.9 2.3 0.999999694886073
9.9 2.4 0.999999694886073
9.9 2.5 0.999999694886073
9.9 2.6 0.999999694886073
9.9 2.7 0.999999694886073
9.9 2.8 0.999999694886073
9.9 2.9 0.999999694886073
9.9 3 0.999999694886073
9.9 3.1 0.999999694886073
9.9 3.2 0.999999694886074
9.9 3.3 0.999999694886078
9.9 3.4 0.999999694886089
9.9 3.5 0.999999694886124
9.9 3.6 0.999999694886222
9.9 3.7 0.999999694886494
9.9 3.8 0.999999694887214
9.9 3.9 0.999999694889034
9.9 4 0.999999694893445
9.9 4.1 0.999999694903681
9.9 4.2 0.999999694926438
9.9 4.3 0.99999969497489
9.9 4.4 0.999999695073698
9.9 4.5 0.99999969526669
9.9 4.6 0.999999695627739
9.9 4.7 0.999999696274691
9.9 4.8 0.999999697385041
9.9 4.9 0.999999699210342
9.9 5 0.999999702084418
9.9 5.1 0.999999706419078
9.9 5.2 0.999999712681013
9.9 5.3 0.999999721345896
9.9 5.4 0.999999732830641
9.9 5.5 0.999999747411689
9.9 5.6 0.999999765144158
9.9 5.7 0.99999978580116
9.9 5.8 0.99999980885205
9.9 5.9 0.99999983349175
9.9 6 0.999999858721653
9.9 6.1 0.999999883469283
9.9 6.2 0.99999990672315
9.9 6.3 0.999999927654933
9.9 6.4 0.999999945704756
9.9 6.5 0.999999960615591
9.9 6.6 0.999999972416081
9.9 6.7 0.99999998136302
9.9 6.8 0.999999987861816
9.9 6.9 0.999999992384364
9.9 7 0.999999995399688
9.9 7.1 0.999999997325855
9.9 7.2 0.999999998504743
9.9 7.3 0.999999999196065
9.9 7.4 0.999999999584507
9.9 7.5 0.99999999979364
9.9 7.6 0.99999999990153
9.9 7.7 0.999999999954866
9.9 7.8 0.999999999980132
9.9 7.9 0.999999999991601
9.9 8 0.999999999996591
10 2 0.999999837579856
10 2.1 0.999999837579856
10 2.2 0.999999837579856
10 2.3 0.999999837579856
10 2.4 0.999999837579856
10 2.5 0.999999837579856
10 2.6 0.999999837579856
10 2.7 0.999999837579856
10 2.8 0.999999837579856
10 2.9 0.999999837579856
10 3 0.999999837579856
10 3.1 0.999999837579856
10 3.2 0.999999837579857
10 3.3 0.999999837579858
10 3.4 0.999999837579863
10 3.5 0.999999837579876
10 3.6 0.999999837579915
10 3.7 0.999999837580023
10 3.8 0.999999837580312
10 3.9 0.999999837581054
10 4 0.999999837582875
10 4.1 0.999999837587156
10 4.2 0.999999837596793
10 4.3 0.999999837617573
10 4.4 0.99999983766049
10 4.5 0.999999837745383
10 4.6 0.999999837906223
10 4.7 0.99999983819809
10 4.8 0.999999838705382
10 4.9 0.999999839549904
10 5 0.999999840896538
10 5.1 0.999999842953262
10 5.2 0.999999845962069
10 5.3 0.999999850178138
10 5.4 0.999999855836884
10 5.5 0.999999863111928
10 5.6 0.999999872070899
10 5.7 0.999999882638878
10 5.8 0.999999894579899
10 5.9 0.999999907504329
10 6 0.999999920904383
10 6.1 0.99999993421297
10 6.2 0.999999946874697
10 6.3 0.999999958414411
10 6.4 0.999999968489389
10 6.5 0.999999976915868
10 6.6 0.999999983667482
10 6.7 0.999999988849932
10 6.8 0.999999992660906
10 6.9 0.999999995345739
10 7 0.99999999715786
10 7.1 0.999999998329661
10 7.2 0.999999999055642
10 7.3 0.999999999486578
10 7.4 0.999999999731666
10 7.5 0.999999999865223
10 7.6 0.999999999934959
10 7.7 0.99999999996985
10 7.8 0.999999999986577
10 7.9 0.999999999994261
10 8 0.99999999999764
volume percentile
0 0
0.01 0
0.02 0
0.03 0
0.04 0
0.05 0
0.06 0
0.07 0
0.08 0
0.09 0
0.1 0
0.11 0
0.12 0
0.13 0
0.14 0
0.15 0
0.16 0
0.17 0
0.18 0
0.19 0
0.2 0
0.21 0
0.22 0
0.23 0
0.24 0
0.25 0
0.26 0
0.27 0
0.28 0
0.29 0
0.3 0
0.31 0
0.32 0
0.33 0
0.34 0
0.35 0
0.36 0
0.37 0
0.38 0
0.39 0
0.4 0
0.41 0
0.42 0
0.43 0
0.44 0
0.45 0
0.46 0
0.47 0
0.48 0
0.49 0
0.5 0
0.51 0
0.52 0
0.53 0
0.54 0
0.55 0
0.56 0
0.57 0
0.58 0
0.59 0
0.6 0
0.61 0
0.62 0
0.63 0
0.64 0
0.65 0
0.66 0
0.67 0
0.68 0
0.69 0
0.7 0
0.71 0
0.72 0
0.73 0
0.74 0
0.75 0
0.76 0
0.77 0
0.78 0
0.79 0
0.8 0
0.81 0
0.82 0
0.83 0
0.84 0
0.85 0
0.86 0
0.87 0
0.88 0
0.89 0
0.9 0
0.91 0
0.92 0
0.93 0
0.94 0
0.95 0
0.96 0
0.97 0
0.98 0
0.99 0
1 0
1.01 0
1.02 0
1.03 0
1.04 0
1.05 0
1.06 0
1.07 0
1.08 0
1.09 0
1.1 0
1.11 0
1.12 0
1.13 0
1.14 0
1.15 0
1.16 0
1.17 0
1.18 0
1.19 0
1.2 0
1.21 0
1.22 0
1.23 0
1.24 2e-06
1.25 2e-06
1.26 2e-06
1.27 2e-06
1.28 2e-06
1.29 2e-06
1.3 2e-06
1.31 3e-06
1.32 4e-06
1.33 4e-06
1.34 4e-06
1.35 4e-06
1.36 4e-06
1.37 5e-06
1.38 5e-06
1.39 5e-06
1.4 6e-06
1.41 6e-06
1.42 6e-06
1.43 6e-06
1.44 6e-06
1.45 7e-06
1.46 7e-06
1.47 7e-06
1.48 9e-06
1.49 1e-05
1.5 1.3e-05
1.51 1.3e-05
1.52 1.3e-05
1.53 1.3e-05
1.54 1.3e-05
1.55 1.3e-05
1.56 1.3e-05
1.57 1.4e-05
1.58 1.5e-05
1.59 1.5e-05
1.6 1.6e-05
1.61 1.7e-05
1.62 1.8e-05
1.63 1.8e-05
1.64 2e-05
1.65 2.1e-05
1.66 2.1e-05
1.67 2.1e-05
1.68 2.2e-05
1.69 2.2e-05
1.7 2.2e-05
1.71 2.2e-05
1.72 2.2e-05
1.73 2.2e-05
1.74 2.3e-05
1.75 2.5e-05
1.76 2.6e-05
1.77 2.6e-05
1.78 2.6e-05
1.79 2.8e-05
1.8 2.9e-05
1.81 3.1e-05
1.82 3.2e-05
1.83 3.2e-05
1.84 3.6e-05
1.85 3.7e-05
1.86 4e-05
1.87 4.1e-05
1.88 4.3e-05
1.89 4.6e-05
1.9 4.9e-05
1.91 5.1e-05
1.92 5.1e-05
1.93 5.2e-05
1.94 5.7e-05
1.95 6e-05
1.96 6.1e-05
1.97 6.1e-05
1.98 6.4e-05
1.99 6.5e-05
2 6.8e-05
2.01 6.8e-05
2.02 7e-05
2.03 7.5e-05
2.04 7.6e-05
2.05 7.7e-05
2.06 8e-05
2.07 8.2e-05
2.08 8.3e-05
2.09 8.7e-05
2.1 9e-05
2.11 9.1e-05
2.12 9.5e-05
2.13 9.8e-05
2.14 1e-04
2.15 0.000105
2.16 0.000108
2.17 0.000116
2.18 0.000122
2.19 0.000127
2.2 0.000135
2.21 0.000138
2.22 0.000142
2.23 0.00015
2.24 0.000159
2.25 0.000163
2.26 0.000167
2.27 0.000174
2.28 0.000178
2.29 0.000183
2.3 0.000192
2.31 0.000199
2.32 0.000209
2.33 0.000213
2.34 0.000218
2.35 0.000221
2.36 0.000229
2.37 0.000239
2.38 0.000245
2.39 0.000252
2.4 0.000256
2.41 0.000266
2.42 0.000272
2.43 0.000277
2.44 0.000287
2.45 0.00029
2.46 0.000296
2.47 0.000304
2.48 0.000314
2.49 0.000324
2.5 0.000334
2.51 0.000345
2.52 0.000352
2.53 0.00036
2.54 0.000369
2.55 0.000384
2.56 0.00039
2.57 0.000397
2.58 0.00041
2.59 0.000423
2.6 0.000432
2.61 0.000442
2.62 0.000455
2.63 0.000464
2.64 0.000474
2.65 0.000487
2.66 0.000504
2.67 0.00052
2.68 0.000537
2.69 0.000551
2.7 0.000566
2.71 0.000576
2.72 0.000593
2.73 0.000613
2.74 0.000635
2.75 0.000656
2.76 0.00067
2.77 0.000681
2.78 0.000697
2.79 0.00071
2.8 0.000733
2.81 0.000747
2.82 0.000762
2.83 0.000779
2.84 0.000799
2.85 0.000821
2.86 0.000843
2.87 0.00087
2.88 0.000906
2.89 0.000931
2.9 0.00095
2.91 0.000972
2.92 0.001001
2.93 0.001016
2.94 0.001042
2.95 0.001071
2.96 0.001093
2.97 0.001114
2.98 0.001138
2.99 0.001162
3 0.001199
3.01 0.001233
3.02 0.001264
3.03 0.001301
3.04 0.001333
3.05 0.001358
3.06 0.001394
3.07 0.00144
3.08 0.001474
3.09 0.001507
3.1 0.001542
3.11 0.001574
3.12 0.00163
3.13 0.00167
3.14 0.001694
3.15 0.001723
3.16 0.001756
3.17 0.001793
3.18 0.001824
3.19 0.001859
3.2 0.001898
3.21 0.001932
3.22 0.001964
3.23 0.002007
3.24 0.00204
3.25 0.002086
3.26 0.002127
3.27 0.002164
3.28 0.002199
3.29 0.002256
3.3 0.002302
3.31 0.002354
3.32 0.002407
3.33 0.002464
3.34 0.002506
3.35 0.002556
3.36 0.002612
3.37 0.002662
3.38 0.002703
3.39 0.002767
3.4 0.00283
3.41 0.002875
3.42 0.002935
3.43 0.003001
3.44 0.003059
3.45 0.003124
3.46 0.003195
3.47 0.003257
3.48 0.003315
3.49 0.003368
3.5 0.003443
3.51 0.003511
3.52 0.00358
3.53 0.003635
3.54 0.003707
3.55 0.003787
3.56 0.003854
3.57 0.003919
3.58 0.004008
3.59 0.004088
3.6 0.004157
3.61 0.004223
3.62 0.004282
3.63 0.004362
3.64 0.00442
3.65 0.004496
3.66 0.004567
3.67 0.00464
3.68 0.004716
3.69 0.004798
3.7 0.004867
3.71 0.004951
3.72 0.005044
3.73 0.005134
3.74 0.005211
3.75 0.005303
3.76 0.005411
3.77 0.005509
3.78 0.005607
3.79 0.005689
3.8 0.005777
3.81 0.005877
3.82 0.00599
3.83 0.006099
3.84 0.006216
3.85 0.006305
3.86 0.006415
3.87 0.006528
3.88 0.006643
3.89 0.006745
3.9 0.006859
3.91 0.006962
3.92 0.007067
3.93 0.007181
3.94 0.007293
3.95 0.007424
3.96 0.007548
3.97 0.007679
3.98 0.007818
3.99 0.007927
4 0.008061
4.01 0.008201
4.02 0.008331
4.03 0.008458
4.04 0.008571
4.05 0.008702
4.06 0.008823
4.07 0.008965
4.08 0.009102
4.09 0.009247
4.1 0.009376
4.11 0.00952
4.12 0.009665
4.13 0.009817
4.14 0.009977
4.15 0.010132
4.16 0.010274
4.17 0.010437
4.18 0.010586
4.19 0.010748
4.2 0.010907
4.21 0.011058
4.22 0.011211
4.23 0.011386
4.24 0.011545
4.25 0.011702
4.26 0.011872
4.27 0.012029
4.28 0.012193
4.29 0.012359
4.3 0.012532
4.31 0.012698
4.32 0.012877
4.33 0.013048
4.34 0.013237
4.35 0.013401
4.36 0.01358
4.37 0.013755
4.38 0.013937
4.39 0.014103
4.4 0.014293
4.41 0.014482
4.42 0.0147
4.43 0.014897
4.44 0.015115
4.45 0.015317
4.46 0.015527
4.47 0.015706
4.48 0.015927
4.49 0.016141
4.5 0.016355
4.51 0.016558
4.52 0.016783
4.53 0.017024
4.54 0.017234
4.55 0.017463
4.56 0.01767
4.57 0.017907
4.58 0.018135
4.59 0.01836
4.6 0.018584
4.61 0.018839
4.62 0.019104
4.63 0.019329
4.64 0.019547
4.65 0.019794
4.66 0.020043
4.67 0.02029
4.68 0.020553
4.69 0.020802
4.7 0.02105
4.71 0.021298
4.72 0.021561
4.73 0.021792
4.74 0.022076
4.75 0.02236
4.76 0.022644
4.77 0.022923
4.78 0.023193
4.79 0.023458
4.8 0.023746
4.81 0.024002
4.82 0.02428
4.83 0.024561
4.84 0.024861
4.85 0.025152
4.86 0.025443
4.87 0.025752
4.88 0.026042
4.89 0.026367
4.9 0.026685
4.91 0.027001
4.92 0.027312
4.93 0.02766
4.94 0.027965
4.95 0.028278
4.96 0.028577
4.97 0.028907
4.98 0.029252
4.99 0.029584
5 0.029925
5.01 0.030244
5.02 0.03058
5.03 0.030936
5.04 0.031262
5.05 0.031574
5.06 0.031942
5.07 0.032296
5.08 0.032653
5.09 0.032973
5.1 0.033364
5.11 0.033715
5.12 0.034052
5.13 0.034394
5.14 0.03477
5.15 0.035119
5.16 0.035488
5.17 0.035881
5.18 0.036256
5.19 0.036662
5.2 0.037083
5.21 0.037445
5.22 0.03781
5.23 0.038207
5.24 0.038592
5.25 0.039015
5.26 0.039409
5.27 0.039785
5.28 0.040206
5.29 0.040609
5.3 0.041007
5.31 0.041395
5.32 0.041804
5.33 0.042251
5.34 0.042675
5.35 0.043121
5.36 0.043532
5.37 0.043937
5.38 0.044383
5.39 0.044828
5.4 0.045297
5.41 0.045737
5.42 0.046181
5.43 0.046616
5.44 0.047066
5.45 0.047525
5.46 0.047972
5.47 0.048451
5.48 0.048903
5.49 0.049377
5.5 0.049823
5.51 0.050279
5.52 0.050716
5.53 0.051197
5.54 0.051703
5.55 0.052203
5.56 0.052681
5.57 0.053134
5.58 0.053596
5.59 0.054118
5.6 0.054628
5.61 0.055129
5.62 0.055647
5.63 0.056142
5.64 0.056719
5.65 0.057262
5.66 0.057785
5.67 0.058315
5.68 0.058859
5.69 0.059372
5.7 0.059896
5.71 0.060421
5.72 0.060942
5.73 0.061477
5.74 0.062033
5.75 0.062577
5.76 0.063118
5.77 0.063667
5.78 0.064231
5.79 0.064793
5.8 0.065371
5.81 0.065947
5.82 0.066455
5.83 0.067016
5.84 0.067617
5.85 0.06816
5.86 0.068752
5.87 0.069309
5.88 0.069834
5.89 0.070408
5.9 0.071033
5.91 0.071622
5.92 0.07223
5.93 0.072824
5.94 0.07341
5.95 0.073958
5.96 0.074557
5.97 0.075228
5.98 0.075812
5.99 0.07642
6 0.077006
6.01 0.077624
6.02 0.078307
6.03 0.078951
6.04 0.079617
6.05 0.080278
6.06 0.080873
6.07 0.08151
6.08 0.082172
6.09 0.082855
6.1 0.083526
6.11 0.084203
6.12 0.084848
6.13 0.085481
6.14 0.086102
6.15 0.08679
6.16 0.087454
6.17 0.088121
6.18 0.088798
6.19 0.089523
6.2 0.090312
6.21 0.090975
6.22 0.091655
6.23 0.092356
6.24 0.09304
6.25 0.093746
6.26 0.094457
6.27 0.095099
6.28 0.095815
6.29 0.096526
6.3 0.097206
6.31 0.097911
6.32 0.098701
6.33 0.099457
6.34 0.100176
6.35 0.100891
6.36 0.101598
6.37 0.102333
6.38 0.103091
6.39 0.103843
6.4 0.104609
6.41 0.105335
6.42 0.106096
6.43 0.106813
6.44 0.107614
6.45 0.108393
6.46 0.109122
6.47 0.109883
6.48 0.110662
6.49 0.111376
6.5 0.112212
6.51 0.112945
6.52 0.113714
6.53 0.114488
6.54 0.115279
6.55 0.116077
6.56 0.116819
6.57 0.117616
6.58 0.118425
6.59 0.119189
6.6 0.120027
6.61 0.120884
6.62 0.121755
6.63 0.122573
6.64 0.123353
6.65 0.124157
6.66 0.124961
6.67 0.125793
6.68 0.126609
6.69 0.127479
6.7 0.128297
6.71 0.129143
6.72 0.129943
6.73 0.130841
6.74 0.131699
6.75 0.132532
6.76 0.133475
6.77 0.134314
6.78 0.135217
6.79 0.136074
6.8 0.136944
6.81 0.137779
6.82 0.138666
6.83 0.139584
6.84 0.1405
6.85 0.141389
6.86 0.142223
6.87 0.143105
6.88 0.14395
6.89 0.14481
6.9 0.145714
6.91 0.146682
6.92 0.147649
6.93 0.148572
6.94 0.149485
6.95 0.150385
6.96 0.151288
6.97 0.152207
6.98 0.153105
6.99 0.154053
7 0.155006
7.01 0.155994
7.02 0.156925
7.03 0.157886
7.04 0.158841
7.05 0.15977
7.06 0.160701
7.07 0.16162
7.08 0.162569
7.09 0.16355
7.1 0.164475
7.11 0.165396
7.12 0.166331
7.13 0.167324
7.14 0.16822
7.15 0.169208
7.16 0.170207
7.17 0.17115
7.18 0.17219
7.19 0.173254
7.2 0.174219
7.21 0.175185
7.22 0.176172
7.23 0.17719
7.24 0.178211
7.25 0.179191
7.26 0.180202
7.27 0.18116
7.28 0.182196
7.29 0.18323
7.3 0.184193
7.31 0.185232
7.32 0.18624
7.33 0.187242
7.34 0.188253
7.35 0.189263
7.36 0.190302
7.37 0.191351
7.38 0.192378
7.39 0.193424
7.4 0.194425
7.41 0.19545
7.42 0.196512
7.43 0.197499
7.44 0.198603
7.45 0.199666
7.46 0.200762
7.47 0.201843
7.48 0.202909
7.49 0.203961
7.5 0.205018
7.51 0.206067
7.52 0.207145
7.53 0.208187
7.54 0.209239
7.55 0.210367
7.56 0.211358
7.57 0.212404
7.58 0.213514
7.59 0.214629
7.6 0.215712
7.61 0.216751
7.62 0.21782
7.63 0.218962
7.64 0.220076
7.65 0.221158
7.66 0.222183
7.67 0.223272
7.68 0.224363
7.69 0.225431
7.7 0.226485
7.71 0.227548
7.72 0.228653
7.73 0.229814
7.74 0.23095
7.75 0.232057
7.76 0.233116
7.77 0.234278
7.78 0.23538
7.79 0.236463
7.8 0.237599
7.81 0.238731
7.82 0.239843
7.83 0.24096
7.84 0.242074
7.85 0.243195
7.86 0.244316
7.87 0.245452
7.88 0.246588
7.89 0.247681
7.9 0.248848
7.91 0.250007
7.92 0.251103
7.93 0.252233
7.94 0.253373
7.95 0.254571
7.96 0.255778
7.97 0.256924
7.98 0.258061
7.99 0.259199
8 0.260308
8.01 0.261448
8.02 0.262654
8.03 0.263823
8.04 0.264955
8.05 0.26615
8.06 0.267366
8.07 0.268487
8.08 0.269665
8.09 0.270827
8.1 0.272021
8.11 0.27308
8.12 0.274275
8.13 0.275441
8.14 0.276625
8.15 0.277788
8.16 0.278971
8.17 0.280099
8.18 0.281315
8.19 0.282472
8.2 0.283588
8.21 0.284762
8.22 0.285973
8.23 0.287176
8.24 0.28836
8.25 0.289567
8.26 0.290749
8.27 0.291924
8.28 0.293124
8.29 0.294354
8.3 0.295524
8.31 0.296746
8.32 0.297959
8.33 0.299169
8.34 0.300381
8.35 0.301612
8.36 0.30279
8.37 0.303964
8.38 0.305144
8.39 0.306329
8.4 0.307623
8.41 0.308916
8.42 0.310096
8.43 0.311294
8.44 0.312455
8.45 0.313646
8.46 0.314831
8.47 0.316184
8.48 0.317444
8.49 0.31867
8.5 0.31991
8.51 0.321166
8.52 0.322346
8.53 0.323601
8.54 0.324784
8.55 0.326095
8.56 0.327272
8.57 0.328504
8.58 0.329666
8.59 0.330984
8.6 0.332238
8.61 0.333496
8.62 0.334704
8.63 0.335919
8.64 0.337117
8.65 0.338341
8.66 0.339587
8.67 0.340813
8.68 0.342103
8.69 0.343387
8.7 0.344634
8.71 0.345866
8.72 0.347116
8.73 0.348404
8.74 0.349703
8.75 0.350952
8.76 0.352193
8.77 0.35338
8.78 0.354617
8.79 0.355798
8.8 0.357042
8.81 0.358276
8.82 0.359519
8.83 0.360766
8.84 0.362072
8.85 0.363327
8.86 0.364582
8.87 0.365799
8.88 0.367009
8.89 0.368246
8.9 0.369503
8.91 0.37074
8.92 0.371998
8.93 0.373219
8.94 0.374509
8.95 0.375752
8.96 0.377013
8.97 0.378238
8.98 0.379508
8.99 0.380783
9 0.38202
9.01 0.383258
9.02 0.384537
9.03 0.385791
9.04 0.38701
9.05 0.388238
9.06 0.389468
9.07 0.390748
9.08 0.392047
9.09 0.393297
9.1 0.394542
9.11 0.395814
9.12 0.397048
9.13 0.398286
9.14 0.399488
9.15 0.400773
9.16 0.402107
9.17 0.403379
9.18 0.404664
9.19 0.405944
9.2 0.407279
9.21 0.408587
9.22 0.409884
9.23 0.411143
9.24 0.412397
9.25 0.41366
9.26 0.414919
9.27 0.41623
9.28 0.417453
9.29 0.418705
9.3 0.419956
9.31 0.421192
9.32 0.422409
9.33 0.42371
9.34 0.424965
9.35 0.426248
9.36 0.427503
9.37 0.428765
9.38 0.430032
9.39 0.431294
9.4 0.432595
9.41 0.433819
9.42 0.435092
9.43 0.436332
9.44 0.437628
9.45 0.438864
9.46 0.440138
9.47 0.441399
9.48 0.442649
9.49 0.443957
9.5 0.445216
9.51 0.446498
9.52 0.447694
9.53 0.448938
9.54 0.450211
9.55 0.451509
9.56 0.452719
9.57 0.453928
9.58 0.455149
9.59 0.456415
9.6 0.457653
9.61 0.458936
9.62 0.460232
9.63 0.461502
9.64 0.462817
9.65 0.464057
9.66 0.465366
9.67 0.466586
9.68 0.467755
9.69 0.469063
9.7 0.470335
9.71 0.471604
9.72 0.47281
9.73 0.474072
9.74 0.475325
9.75 0.476551
9.76 0.477767
9.77 0.479006
9.78 0.480241
9.79 0.481491
9.8 0.482734
9.81 0.483979
9.82 0.485215
9.83 0.486463
9.84 0.487706
9.85 0.488972
9.86 0.490168
9.87 0.491372
9.88 0.492609
9.89 0.493873
9.9 0.495068
9.91 0.496254
9.92 0.497507
9.93 0.498788
9.94 0.500003
9.95 0.501231
9.96 0.50247
9.97 0.50372
9.98 0.504956
9.99 0.506166
10 0.507382
10.01 0.508582
10.02 0.509778
10.03 0.511011
10.04 0.512201
10.05 0.51339
10.06 0.514638
10.07 0.515881
10.08 0.517112
10.09 0.518338
10.1 0.519581
10.11 0.52083
10.12 0.522065
10.13 0.523324
10.14 0.524591
10.15 0.525829
10.16 0.527026
10.17 0.528221
10.18 0.529441
10.19 0.530648
10.2 0.531874
10.21 0.53305
10.22 0.534223
10.23 0.535422
10.24 0.536562
10.25 0.537734
10.26 0.538872
10.27 0.540081
10.28 0.541263
10.29 0.542529
10.3 0.543773
10.31 0.544982
10.32 0.546188
10.33 0.547412
10.34 0.548543
10.35 0.549727
10.36 0.550875
10.37 0.552075
10.38 0.553323
10.39 0.55452
10.4 0.555779
10.41 0.556989
10.42 0.558189
10.43 0.559403
10.44 0.560586
10.45 0.561758
10.46 0.562934
10.47 0.564148
10.48 0.565372
10.49 0.566506
10.5 0.567588
10.51 0.568691
10.52 0.569867
10.53 0.570996
10.54 0.57214
10.55 0.573306
10.56 0.574429
10.57 0.575577
10.58 0.576717
10.59 0.577867
10.6 0.579065
10.61 0.580199
10.62 0.581418
10.63 0.582568
10.64 0.583737
10.65 0.584941
10.66 0.58612
10.67 0.587251
10.68 0.588398
10.69 0.589564
10.7 0.590715
10.71 0.591846
10.72 0.593028
10.73 0.594193
10.74 0.595369
10.75 0.596533
10.76 0.597649
10.77 0.598823
10.78 0.599983
10.79 0.601181
10.8 0.602291
10.81 0.603421
10.82 0.604511
10.83 0.605612
10.84 0.606727
10.85 0.607863
10.86 0.608977
10.87 0.610112
10.88 0.611207
10.89 0.612309
10.9 0.613494
10.91 0.614602
10.92 0.615711
10.93 0.616884
10.94 0.618049
10.95 0.619104
10.96 0.620242
10.97 0.621312
10.98 0.622416
10.99 0.623536
11 0.624627
11.01 0.625722
11.02 0.626809
11.03 0.627941
11.04 0.629053
11.05 0.630141
11.06 0.631186
11.07 0.632265
11.08 0.633361
11.09 0.634466
11.1 0.635564
11.11 0.636681
11.12 0.6378
11.13 0.638869
11.14 0.639962
11.15 0.641016
11.16 0.642093
11.17 0.643169
11.18 0.644239
11.19 0.645276
11.2 0.646387
11.21 0.647495
11.22 0.648536
11.23 0.649628
11.24 0.650678
11.25 0.651692
11.26 0.652798
11.27 0.65386
11.28 0.65489
11.29 0.655935
11.3 0.65696
11.31 0.657974
11.32 0.658966
11.33 0.660013
11.34 0.661011
11.35 0.662063
11.36 0.663062
11.37 0.664135
11.38 0.665202
11.39 0.666318
11.4 0.667362
11.41 0.668356
11.42 0.669375
11.43 0.670302
11.44 0.671292
11.45 0.672333
11.46 0.673337
11.47 0.674358
11.48 0.675408
11.49 0.67646
11.5 0.677552
11.51 0.678495
11.52 0.679462
11.53 0.680478
11.54 0.681507
11.55 0.682461
11.56 0.683492
11.57 0.684541
11.58 0.685529
11.59 0.686525
11.6 0.687528
11.61 0.688484
11.62 0.689431
11.63 0.690398
11.64 0.691388
11.65 0.692352
11.66 0.693358
11.67 0.694375
11.68 0.695312
11.69 0.696275
11.7 0.697175
11.71 0.698159
11.72 0.699083
11.73 0.700076
11.74 0.701044
11.75 0.702008
11.76 0.702956
11.77 0.70395
11.78 0.704881
11.79 0.705839
11.8 0.706804
11.81 0.707787
11.82 0.708696
11.83 0.709672
11.84 0.710577
11.85 0.711485
11.86 0.712453
11.87 0.713353
11.88 0.71436
11.89 0.71527
11.9 0.716196
11.91 0.717103
11.92 0.718077
11.93 0.718987
11.94 0.719887
11.95 0.720785
11.96 0.721705
11.97 0.722592
11.98 0.723543
11.99 0.724493
12 0.725454
12.01 0.726382
12.02 0.727288
12.03 0.72816
12.04 0.72905
12.05 0.729936
12.06 0.730828
12.07 0.73172
12.08 0.732566
12.09 0.733429
12.1 0.734327
12.11 0.735185
12.12 0.736074
12.13 0.736995
12.14 0.737891
12.15 0.738773
12.16 0.739619
12.17 0.740551
12.18 0.741452
12.19 0.742349
12.2 0.743165
12.21 0.744037
12.22 0.744845
12.23 0.745733
12.24 0.746602
12.25 0.747449
12.26 0.748327
12.27 0.749192
12.28 0.750084
12.29 0.750959
12.3 0.75184
12.31 0.752686
12.32 0.753553
12.33 0.754387
12.34 0.755202
12.35 0.756066
12.36 0.756882
12.37 0.757701
12.38 0.758525
12.39 0.759332
12.4 0.760186
12.41 0.760953
12.42 0.761803
12.43 0.762633
12.44 0.763483
12.45 0.764288
12.46 0.765097
12.47 0.765916
12.48 0.766713
12.49 0.76751
12.5 0.768326
12.51 0.769151
12.52 0.769963
12.53 0.770785
12.54 0.771619
12.55 0.772436
12.56 0.773217
12.57 0.774041
12.58 0.774857
12.59 0.775623
12.6 0.776401
12.61 0.777244
12.62 0.778004
12.63 0.778821
12.64 0.779566
12.65 0.78035
12.66 0.781216
12.67 0.782022
12.68 0.782761
12.69 0.783509
12.7 0.784269
12.71 0.785028
12.72 0.785824
12.73 0.786551
12.74 0.787297
12.75 0.78804
12.76 0.788809
12.77 0.789546
12.78 0.79027
12.79 0.791032
12.8 0.791776
12.81 0.792561
12.82 0.793309
12.83 0.794029
12.84 0.794744
12.85 0.795543
12.86 0.796272
12.87 0.796999
12.88 0.79775
12.89 0.798443
12.9 0.799163
12.91 0.7999
12.92 0.800634
12.93 0.801409
12.94 0.802114
12.95 0.802843
12.96 0.803566
12.97 0.804265
12.98 0.805009
12.99 0.805734
13 0.80648
13.01 0.807212
13.02 0.807939
13.03 0.808669
13.04 0.809364
13.05 0.810043
13.06 0.810746
13.07 0.811458
13.08 0.812155
13.09 0.812858
13.1 0.813541
13.11 0.814237
13.12 0.814911
13.13 0.815612
13.14 0.816251
13.15 0.816929
13.16 0.817618
13.17 0.818277
13.18 0.818961
13.19 0.819596
13.2 0.820307
13.21 0.820976
13.22 0.821685
13.23 0.822359
13.24 0.823011
13.25 0.823681
13.26 0.824352
13.27 0.825029
13.28 0.825677
13.29 0.826348
13.3 0.826997
13.31 0.827609
13.32 0.828227
13.33 0.828879
13.34 0.829533
13.35 0.83021
13.36 0.830899
13.37 0.831528
13.38 0.832171
13.39 0.832801
13.4 0.833434
13.41 0.834109
13.42 0.834746
13.43 0.835388
13.44 0.835996
13.45 0.83662
13.46 0.837248
13.47 0.837899
13.48 0.838513
13.49 0.839087
13.5 0.839738
13.51 0.840355
13.52 0.840941
13.53 0.841556
13.54 0.84215
13.55 0.842739
13.56 0.843376
13.57 0.843975
13.58 0.844607
13.59 0.845242
13.6 0.845891
13.61 0.846436
13.62 0.847005
13.63 0.847573
13.64 0.848164
13.65 0.848751
13.66 0.849303
13.67 0.849918
13.68 0.850489
13.69 0.85109
13.7 0.851689
13.71 0.852242
13.72 0.852804
13.73 0.853406
13.74 0.853983
13.75 0.854564
13.76 0.855127
13.77 0.85568
13.78 0.856242
13.79 0.856793
13.8 0.857347
13.81 0.85795
13.82 0.858542
13.83 0.85913
13.84 0.85975
13.85 0.860293
13.86 0.860834
13.87 0.861374
13.88 0.861937
13.89 0.862478
13.9 0.86304
13.91 0.863576
13.92 0.864075
13.93 0.864576
13.94 0.865161
13.95 0.865713
13.96 0.866228
13.97 0.866745
13.98 0.867306
13.99 0.867832
14 0.86836
14.01 0.868872
14.02 0.869365
14.03 0.869858
14.04 0.870413
14.05 0.870928
14.06 0.871414
14.07 0.87194
14.08 0.872438
14.09 0.87298
14.1 0.873484
14.11 0.873946
14.12 0.874439
14.13 0.875012
14.14 0.875494
14.15 0.876017
14.16 0.876538
14.17 0.877049
14.18 0.877489
14.19 0.878005
14.2 0.878455
14.21 0.878922
14.22 0.87942
14.23 0.8799
14.24 0.880404
14.25 0.880885
14.26 0.881346
14.27 0.881769
14.28 0.88226
14.29 0.882743
14.3 0.883251
14.31 0.883713
14.32 0.884187
14.33 0.884667
14.34 0.885162
14.35 0.885656
14.36 0.886132
14.37 0.886617
14.38 0.88712
14.39 0.887562
14.4 0.888021
14.41 0.888492
14.42 0.888958
14.43 0.88942
14.44 0.88986
14.45 0.890305
14.46 0.890788
14.47 0.891237
14.48 0.891663
14.49 0.892111
14.5 0.892555
14.51 0.893013
14.52 0.893463
14.53 0.893927
14.54 0.894382
14.55 0.894804
14.56 0.895234
14.57 0.895667
14.58 0.896093
14.59 0.896495
14.6 0.896929
14.61 0.897363
14.62 0.897796
14.63 0.898238
14.64 0.898685
14.65 0.899123
14.66 0.899531
14.67 0.899915
14.68 0.900362
14.69 0.90079
14.7 0.901195
14.71 0.901625
14.72 0.902027
14.73 0.902419
14.74 0.902832
14.75 0.903227
14.76 0.903641
14.77 0.90404
14.78 0.904454
14.79 0.904836
14.8 0.905241
14.81 0.905674
14.82 0.90605
14.83 0.906456
14.84 0.906854
14.85 0.907272
14.86 0.907639
14.87 0.908049
14.88 0.908428
14.89 0.908831
14.9 0.909189
14.91 0.909575
14.92 0.909971
14.93 0.910347
14.94 0.910751
14.95 0.911136
14.96 0.911505
14.97 0.911855
14.98 0.91219
14.99 0.912579
15 0.912913
15.01 0.913293
15.02 0.913667
15.03 0.914066
15.04 0.914451
15.05 0.914839
15.06 0.915255
15.07 0.915599
15.08 0.915964
15.09 0.916312
15.1 0.916692
15.11 0.917029
15.12 0.917378
15.13 0.917719
15.14 0.918073
15.15 0.918442
15.16 0.918798
15.17 0.919141
15.18 0.919481
15.19 0.919808
15.2 0.920168
15.21 0.9205
15.22 0.920837
15.23 0.92114
15.24 0.921483
15.25 0.921796
15.26 0.92217
15.27 0.922482
15.28 0.922816
15.29 0.923157
15.3 0.923485
15.31 0.923836
15.32 0.924155
15.33 0.924455
15.34 0.924812
15.35 0.925179
15.36 0.925506
15.37 0.925819
15.38 0.926138
15.39 0.926484
15.4 0.926803
15.41 0.927118
15.42 0.927414
15.43 0.927732
15.44 0.928055
15.45 0.928333
15.46 0.92864
15.47 0.928988
15.48 0.92927
15.49 0.92957
15.5 0.92989
15.51 0.930183
15.52 0.930481
15.53 0.93078
15.54 0.931107
15.55 0.931429
15.56 0.931721
15.57 0.932005
15.58 0.932312
15.59 0.932616
15.6 0.932931
15.61 0.933226
15.62 0.93354
15.63 0.933834
15.64 0.934117
15.65 0.934418
15.66 0.93471
15.67 0.934998
15.68 0.935281
15.69 0.935579
15.7 0.935879
15.71 0.93615
15.72 0.93641
15.73 0.936706
15.74 0.936973
15.75 0.937272
15.76 0.937563
15.77 0.937837
15.78 0.938098
15.79 0.938352
15.8 0.938636
15.81 0.938927
15.82 0.939203
15.83 0.939455
15.84 0.939723
15.85 0.940046
15.86 0.940343
15.87 0.940614
15.88 0.940899
15.89 0.941139
15.9 0.941412
15.91 0.941647
15.92 0.9419
15.93 0.942174
15.94 0.942407
15.95 0.942667
15.96 0.942944
15.97 0.94321
15.98 0.94346
15.99 0.943727
16 0.94396
16.01 0.944201
16.02 0.944435
16.03 0.944658
16.04 0.94489
16.05 0.945155
16.06 0.945379
16.07 0.945649
16.08 0.945887
16.09 0.946139
16.1 0.946379
16.11 0.946634
16.12 0.946887
16.13 0.947143
16.14 0.947363
16.15 0.9476
16.16 0.94784
16.17 0.948061
16.18 0.948295
16.19 0.948492
16.2 0.948709
16.21 0.948934
16.22 0.949159
16.23 0.949403
16.24 0.949613
16.25 0.949852
16.26 0.950064
16.27 0.950289
16.28 0.950522
16.29 0.950723
16.3 0.950916
16.31 0.951123
16.32 0.951335
16.33 0.951595
16.34 0.951796
16.35 0.952019
16.36 0.952246
16.37 0.95246
16.38 0.952679
16.39 0.952902
16.4 0.953094
16.41 0.953333
16.42 0.953555
16.43 0.953789
16.44 0.954015
16.45 0.95424
16.46 0.954473
16.47 0.954683
16.48 0.954918
16.49 0.955107
16.5 0.955334
16.51 0.955555
16.52 0.955745
16.53 0.955944
16.54 0.956134
16.55 0.956343
16.56 0.956543
16.57 0.956722
16.58 0.9569
16.59 0.957083
16.6 0.957285
16.61 0.957494
16.62 0.957678
16.63 0.957872
16.64 0.958061
16.65 0.958267
16.66 0.958473
16.67 0.958654
16.68 0.958848
16.69 0.959037
16.7 0.959226
16.71 0.959417
16.72 0.959632
16.73 0.959855
16.74 0.960036
16.75 0.960231
16.76 0.960418
16.77 0.960599
16.78 0.960767
16.79 0.960944
16.8 0.961138
16.81 0.961322
16.82 0.9615
16.83 0.961661
16.84 0.961861
16.85 0.96203
16.86 0.962216
16.87 0.962409
16.88 0.962578
16.89 0.962752
16.9 0.962952
16.91 0.963133
16.92 0.963299
16.93 0.963487
16.94 0.963656
16.95 0.963828
16.96 0.96398
16.97 0.964156
16.98 0.964308
16.99 0.964503
17 0.964667
17.01 0.964817
17.02 0.964986
17.03 0.965155
17.04 0.965306
17.05 0.965467
17.06 0.965628
17.07 0.965805
17.08 0.965957
17.09 0.966141
17.1 0.966315
17.11 0.966489
17.12 0.966653
17.13 0.96679
17.14 0.966949
17.15 0.967125
17.16 0.967278
17.17 0.967427
17.18 0.967587
17.19 0.967762
17.2 0.967904
17.21 0.968056
17.22 0.968198
17.23 0.96836
17.24 0.968512
17.25 0.968672
17.26 0.968827
17.27 0.968967
17.28 0.969118
17.29 0.969256
17.3 0.969385
17.31 0.96954
17.32 0.96969
17.33 0.969841
17.34 0.969977
17.35 0.970143
17.36 0.970295
17.37 0.97042
17.38 0.970554
17.39 0.970687
17.4 0.97083
17.41 0.970969
17.42 0.971114
17.43 0.971245
17.44 0.971404
17.45 0.971553
17.46 0.971691
17.47 0.971815
17.48 0.971945
17.49 0.972068
17.5 0.972187
17.51 0.972324
17.52 0.972449
17.53 0.972587
17.54 0.972704
17.55 0.972844
17.56 0.972955
17.57 0.973103
17.58 0.973228
17.59 0.973353
17.6 0.973493
17.61 0.973638
17.62 0.973779
17.63 0.973904
17.64 0.974034
17.65 0.974161
17.66 0.974288
17.67 0.974426
17.68 0.974562
17.69 0.974674
17.7 0.974797
17.71 0.97493
17.72 0.975038
17.73 0.97514
17.74 0.97527
17.75 0.975394
17.76 0.975515
17.77 0.975628
17.78 0.975741
17.79 0.975862
17.8 0.97595
17.81 0.976064
17.82 0.976172
17.83 0.976279
17.84 0.9764
17.85 0.976502
17.86 0.976626
17.87 0.976739
17.88 0.976867
17.89 0.976962
17.9 0.977069
17.91 0.97717
17.92 0.977286
17.93 0.977395
17.94 0.977501
17.95 0.977632
17.96 0.977742
17.97 0.977845
17.98 0.97795
17.99 0.978066
18 0.978185
18.01 0.978308
18.02 0.978428
18.03 0.978551
18.04 0.978639
18.05 0.978753
18.06 0.978854
18.07 0.978957
18.08 0.979081
18.09 0.97917
18.1 0.979268
18.11 0.979386
18.12 0.979489
18.13 0.9796
18.14 0.979696
18.15 0.979817
18.16 0.979927
18.17 0.980021
18.18 0.980109
18.19 0.980227
18.2 0.98032
18.21 0.980417
18.22 0.980526
18.23 0.980623
18.24 0.980723
18.25 0.98083
18.26 0.980933
18.27 0.981036
18.28 0.981122
18.29 0.981222
18.3 0.981327
18.31 0.98142
18.32 0.981512
18.33 0.981603
18.34 0.981694
18.35 0.981787
18.36 0.981881
18.37 0.981976
18.38 0.982071
18.39 0.982166
18.4 0.982261
18.41 0.982359
18.42 0.982439
18.43 0.982529
18.44 0.982614
18.45 0.982698
18.46 0.982793
18.47 0.982877
18.48 0.982966
18.49 0.983052
18.5 0.983148
18.51 0.983238
18.52 0.983342
18.53 0.983423
18.54 0.983522
18.55 0.983603
18.56 0.98368
18.57 0.983762
18.58 0.983849
18.59 0.983933
18.6 0.984019
18.61 0.984108
18.62 0.98419
18.63 0.984273
18.64 0.984355
18.65 0.984422
18.66 0.9845
18.67 0.98457
18.68 0.984652
18.69 0.98473
18.7 0.984812
18.71 0.984888
18.72 0.984964
18.73 0.985042
18.74 0.985114
18.75 0.985208
18.76 0.985274
18.77 0.985356
18.78 0.985422
18.79 0.98549
18.8 0.985564
18.81 0.985642
18.82 0.985713
18.83 0.985785
18.84 0.985854
18.85 0.985916
18.86 0.985999
18.87 0.986078
18.88 0.986155
18.89 0.986234
18.9 0.986309
18.91 0.986374
18.92 0.98646
18.93 0.986531
18.94 0.986596
18.95 0.98664
18.96 0.986705
18.97 0.986771
18.98 0.986827
18.99 0.986891
19 0.986949
19.01 0.987027
19.02 0.987096
19.03 0.987167
19.04 0.98724
19.05 0.987314
19.06 0.987373
19.07 0.987428
19.08 0.987495
19.09 0.987553
19.1 0.987626
19.11 0.987684
19.12 0.987759
19.13 0.987834
19.14 0.987894
19.15 0.987946
19.16 0.988008
19.17 0.988065
19.18 0.988134
19.19 0.988195
19.2 0.988257
19.21 0.988314
19.22 0.988372
19.23 0.988441
19.24 0.988494
19.25 0.988564
19.26 0.98861
19.27 0.988658
19.28 0.988713
19.29 0.988775
19.3 0.988836
19.31 0.988888
19.32 0.988947
19.33 0.988997
19.34 0.989049
19.35 0.989121
19.36 0.989186
19.37 0.989255
19.38 0.98931
19.39 0.989362
19.4 0.989417
19.41 0.98946
19.42 0.989519
19.43 0.98957
19.44 0.989621
19.45 0.989682
19.46 0.989728
19.47 0.989774
19.48 0.989839
19.49 0.989894
19.5 0.989952
19.51 0.989993
19.52 0.990042
19.53 0.990085
19.54 0.990134
19.55 0.990187
19.56 0.990235
19.57 0.990282
19.58 0.990327
19.59 0.990373
19.6 0.990421
19.61 0.990464
19.62 0.990519
19.63 0.990574
19.64 0.990628
19.65 0.990671
19.66 0.990726
19.67 0.990769
19.68 0.99081
19.69 0.99086
19.7 0.990907
19.71 0.990951
19.72 0.991003
19.73 0.99105
19.74 0.991095
19.75 0.991144
19.76 0.991194
19.77 0.991255
19.78 0.991307
19.79 0.991349
19.8 0.991388
19.81 0.99144
19.82 0.991474
19.83 0.991519
19.84 0.991572
19.85 0.991622
19.86 0.99166
19.87 0.991704
19.88 0.991737
19.89 0.991764
19.9 0.991814
19.91 0.991851
19.92 0.991898
19.93 0.991947
19.94 0.992002
19.95 0.99204
19.96 0.992075
19.97 0.992115
19.98 0.992159
19.99 0.992194
20 0.992228
20.01 0.992275
20.02 0.99232
20.03 0.992362
20.04 0.992394
20.05 0.992423
20.06 0.992459
20.07 0.992501
20.08 0.992536
20.09 0.992589
20.1 0.992635
20.11 0.99267
20.12 0.992708
20.13 0.992752
20.14 0.992789
20.15 0.992823
20.16 0.992861
20.17 0.992901
20.18 0.992933
20.19 0.99297
20.2 0.993011
20.21 0.993046
20.22 0.993091
20.23 0.993133
20.24 0.993174
20.25 0.993213
20.26 0.993245
20.27 0.99328
20.28 0.993318
20.29 0.993346
20.3 0.993377
20.31 0.993413
20.32 0.993445
20.33 0.993495
20.34 0.993534
20.35 0.993564
20.36 0.993604
20.37 0.993636
20.38 0.993661
20.39 0.993695
20.4 0.993723
20.41 0.993748
20.42 0.993773
20.43 0.993803
20.44 0.993834
20.45 0.993872
20.46 0.993902
20.47 0.993928
20.48 0.993961
20.49 0.994004
20.5 0.994035
20.51 0.994061
20.52 0.994105
20.53 0.994134
20.54 0.994161
20.55 0.994195
20.56 0.994221
20.57 0.994253
20.58 0.994295
20.59 0.994328
20.6 0.994359
20.61 0.994396
20.62 0.994431
20.63 0.994462
20.64 0.994497
20.65 0.994525
20.66 0.994549
20.67 0.994579
20.68 0.994615
20.69 0.994648
20.7 0.994679
20.71 0.994718
20.72 0.99474
20.73 0.994767
20.74 0.99479
20.75 0.994812
20.76 0.99484
20.77 0.994876
20.78 0.994905
20.79 0.99493
20.8 0.994955
20.81 0.99499
20.82 0.995012
20.83 0.995043
20.84 0.995073
20.85 0.995105
20.86 0.995133
20.87 0.995166
20.88 0.995197
20.89 0.995218
20.9 0.995244
20.91 0.995269
20.92 0.9953
20.93 0.995314
20.94 0.995346
20.95 0.995371
20.96 0.995394
20.97 0.995421
20.98 0.995442
20.99 0.995464
21 0.995495
21.01 0.995521
21.02 0.995543
21.03 0.995567
21.04 0.995592
21.05 0.995618
21.06 0.995647
21.07 0.995665
21.08 0.995681
21.09 0.995711
21.1 0.995744
21.11 0.99577
21.12 0.995799
21.13 0.995826
21.14 0.995845
21.15 0.995871
21.16 0.995895
21.17 0.995916
21.18 0.995932
21.19 0.995955
21.2 0.995972
21.21 0.995998
21.22 0.996019
21.23 0.996044
21.24 0.996066
21.25 0.996093
21.26 0.996115
21.27 0.996137
21.28 0.996157
21.29 0.996185
21.3 0.996202
21.31 0.996219
21.32 0.996244
21.33 0.996267
21.34 0.996288
21.35 0.996302
21.36 0.996324
21.37 0.996341
21.38 0.996368
21.39 0.99639
21.4 0.996408
21.41 0.996425
21.42 0.996437
21.43 0.996462
21.44 0.99648
21.45 0.996506
21.46 0.996526
21.47 0.99654
21.48 0.996557
21.49 0.996569
21.5 0.996589
21.51 0.996603
21.52 0.996627
21.53 0.996645
21.54 0.996659
21.55 0.996676
21.56 0.996699
21.57 0.996716
21.58 0.996733
21.59 0.996743
21.6 0.996751
21.61 0.99677
21.62 0.996786
21.63 0.996804
21.64 0.996825
21.65 0.99684
21.66 0.996859
21.67 0.996873
21.68 0.996889
21.69 0.996902
21.7 0.996915
21.71 0.996926
21.72 0.996944
21.73 0.996961
21.74 0.99698
21.75 0.997008
21.76 0.997024
21.77 0.997038
21.78 0.997052
21.79 0.997071
21.8 0.997085
21.81 0.9971
21.82 0.99712
21.83 0.997139
21.84 0.99715
21.85 0.99717
21.86 0.997187
21.87 0.997203
21.88 0.997219
21.89 0.997239
21.9 0.997257
21.91 0.997272
21.92 0.997286
21.93 0.997296
21.94 0.997313
21.95 0.997331
21.96 0.997343
21.97 0.997361
21.98 0.997374
21.99 0.99739
22 0.997405
22.01 0.997422
22.02 0.997438
22.03 0.997452
22.04 0.99747
22.05 0.997482
22.06 0.997498
22.07 0.997507
22.08 0.997523
22.09 0.997533
22.1 0.997542
22.11 0.99756
22.12 0.997571
22.13 0.997585
22.14 0.997597
22.15 0.99761
22.16 0.997622
22.17 0.997637
22.18 0.997655
22.19 0.997671
22.2 0.997688
22.21 0.997701
22.22 0.997712
22.23 0.99773
22.24 0.997749
22.25 0.997758
22.26 0.997774
22.27 0.99779
22.28 0.997801
22.29 0.997808
22.3 0.997819
22.31 0.997834
22.32 0.997839
22.33 0.997852
22.34 0.997859
22.35 0.997873
22.36 0.997884
22.37 0.997905
22.38 0.997919
22.39 0.997937
22.4 0.997958
22.41 0.997969
22.42 0.997985
22.43 0.997994
22.44 0.998009
22.45 0.998018
22.46 0.998038
22.47 0.998048
22.48 0.998057
22.49 0.998067
22.5 0.998076
22.51 0.998091
22.52 0.998099
22.53 0.998113
22.54 0.998122
22.55 0.998131
22.56 0.998145
22.57 0.998154
22.58 0.998164
22.59 0.998178
22.6 0.998192
22.61 0.998199
22.62 0.998205
22.63 0.998215
22.64 0.998227
22.65 0.998235
22.66 0.998241
22.67 0.998252
22.68 0.998258
22.69 0.998269
22.7 0.99828
22.71 0.998292
22.72 0.998299
22.73 0.998307
22.74 0.998317
22.75 0.99833
22.76 0.998338
22.77 0.998343
22.78 0.998352
22.79 0.998358
22.8 0.998368
22.81 0.998379
22.82 0.998388
22.83 0.998394
22.84 0.998398
22.85 0.998408
22.86 0.998419
22.87 0.998429
22.88 0.998436
22.89 0.998443
22.9 0.998455
22.91 0.998467
22.92 0.998478
22.93 0.998485
22.94 0.998495
22.95 0.998502
22.96 0.998511
22.97 0.998515
22.98 0.99852
22.99 0.99853
23 0.998537
23.01 0.998547
23.02 0.998557
23.03 0.998563
23.04 0.99857
23.05 0.998583
23.06 0.998585
23.07 0.998588
23.08 0.998597
23.09 0.998602
23.1 0.998611
23.11 0.998615
23.12 0.998619
23.13 0.998621
23.14 0.998625
23.15 0.998629
23.16 0.998634
23.17 0.998644
23.18 0.998652
23.19 0.998662
23.2 0.99867
23.21 0.998681
23.22 0.998688
23.23 0.998696
23.24 0.998701
23.25 0.998712
23.26 0.998719
23.27 0.998727
23.28 0.998734
23.29 0.998741
23.3 0.99875
23.31 0.998758
23.32 0.998767
23.33 0.998771
23.34 0.99878
23.35 0.998792
23.36 0.998798
23.37 0.998807
23.38 0.998817
23.39 0.99882
23.4 0.998826
23.41 0.998838
23.42 0.998842
23.43 0.998848
23.44 0.99886
23.45 0.998866
23.46 0.99887
23.47 0.998875
23.48 0.998881
23.49 0.998891
23.5 0.998898
23.51 0.998904
23.52 0.99891
23.53 0.998916
23.54 0.998928
23.55 0.998933
23.56 0.998938
23.57 0.998948
23.58 0.998953
23.59 0.99896
23.6 0.998965
23.61 0.998972
23.62 0.998979
23.63 0.998984
23.64 0.998988
23.65 0.998993
23.66 0.998999
23.67 0.999005
23.68 0.999014
23.69 0.999024
23.7 0.999027
23.71 0.999035
23.72 0.999043
23.73 0.99905
23.74 0.999059
23.75 0.999071
23.76 0.999076
23.77 0.999081
23.78 0.999083
23.79 0.999084
23.8 0.999089
23.81 0.999096
23.82 0.999099
23.83 0.999102
23.84 0.999103
23.85 0.999106
23.86 0.999111
23.87 0.999113
23.88 0.999117
23.89 0.99912
23.9 0.999123
23.91 0.999123
23.92 0.999131
23.93 0.999143
23.94 0.999147
23.95 0.999151
23.96 0.999158
23.97 0.999163
23.98 0.999166
23.99 0.999168
24 0.999173
24.01 0.999174
24.02 0.999179
24.03 0.999183
24.04 0.99919
24.05 0.999199
24.06 0.999203
24.07 0.999208
24.08 0.999217
24.09 0.999222
24.1 0.999226
24.11 0.999233
24.12 0.999239
24.13 0.999244
24.14 0.99925
24.15 0.999253
24.16 0.999259
24.17 0.999262
24.18 0.999264
24.19 0.999269
24.2 0.999271
24.21 0.999273
24.22 0.999279
24.23 0.999281
24.24 0.999287
24.25 0.999291
24.26 0.999295
24.27 0.9993
24.28 0.999307
24.29 0.999311
24.3 0.999314
24.31 0.99932
24.32 0.999321
24.33 0.999325
24.34 0.999327
24.35 0.99933
24.36 0.999332
24.37 0.999338
24.38 0.999342
24.39 0.999345
24.4 0.999348
24.41 0.999352
24.42 0.999353
24.43 0.999355
24.44 0.999359
24.45 0.999364
24.46 0.999366
24.47 0.999374
24.48 0.999377
24.49 0.999381
24.5 0.999387
24.51 0.999389
24.52 0.999394
24.53 0.999397
24.54 0.9994
24.55 0.999401
24.56 0.999407
24.57 0.999411
24.58 0.999417
24.59 0.999421
24.6 0.999422
24.61 0.999426
24.62 0.999431
24.63 0.999433
24.64 0.999434
24.65 0.99944
24.66 0.999445
24.67 0.999448
24.68 0.999449
24.69 0.999454
24.7 0.999455
24.71 0.999459
24.72 0.999461
24.73 0.999461
24.74 0.999467
24.75 0.99947
24.76 0.999474
24.77 0.999476
24.78 0.999479
24.79 0.999484
24.8 0.999486
24.81 0.999489
24.82 0.999494
24.83 0.999496
24.84 0.9995
24.85 0.999503
24.86 0.999504
24.87 0.999509
24.88 0.999513
24.89 0.999517
24.9 0.999522
24.91 0.999524
24.92 0.999524
24.93 0.999527
24.94 0.999529
24.95 0.999531
24.96 0.999536
24.97 0.999541
24.98 0.999543
24.99 0.999546
25 0.999547
25.01 0.999553
25.02 0.999558
25.03 0.999559
25.04 0.999562
25.05 0.999565
25.06 0.99957
25.07 0.999573
25.08 0.999576
25.09 0.999578
25.1 0.999578
25.11 0.999581
25.12 0.999583
25.13 0.999584
25.14 0.999587
25.15 0.999589
25.16 0.999592
25.17 0.999594
25.18 0.999594
25.19 0.999596
25.2 0.999596
25.21 0.999596
25.22 0.999598
25.23 0.999601
25.24 0.999603
25.25 0.999604
25.26 0.999605
25.27 0.999605
25.28 0.999607
25.29 0.99961
25.3 0.999612
25.31 0.999615
25.32 0.999618
25.33 0.999624
25.34 0.999626
25.35 0.999628
25.36 0.999629
25.37 0.999633
25.38 0.999634
25.39 0.999634
25.4 0.999635
25.41 0.999637
25.42 0.999637
25.43 0.99964
25.44 0.999644
25.45 0.999647
25.46 0.999648
25.47 0.999651
25.48 0.999653
25.49 0.999657
25.5 0.999657
25.51 0.999659
25.52 0.99966
25.53 0.999662
25.54 0.999662
25.55 0.999664
25.56 0.999666
25.57 0.999666
25.58 0.999669
25.59 0.99967
25.6 0.999674
25.61 0.999674
25.62 0.999674
25.63 0.999676
25.64 0.999677
25.65 0.99968
25.66 0.999682
25.67 0.999684
25.68 0.999685
25.69 0.999688
25.7 0.999691
25.71 0.999692
25.72 0.999693
25.73 0.999694
25.74 0.999697
25.75 0.999699
25.76 0.999703
25.77 0.999707
25.78 0.999709
25.79 0.999712
25.8 0.999714
25.81 0.999716
25.82 0.999717
25.83 0.999719
25.84 0.999722
25.85 0.999724
25.86 0.999724
25.87 0.999725
25.88 0.999728
25.89 0.999728
25.9 0.999729
25.91 0.99973
25.92 0.999734
25.93 0.999734
25.94 0.999738
25.95 0.999739
25.96 0.999741
25.97 0.999743
25.98 0.999746
25.99 0.999746
26 0.999747
26.01 0.999749
26.02 0.999751
26.03 0.999751
26.04 0.999753
26.05 0.999755
26.06 0.999757
26.07 0.999759
26.08 0.999763
26.09 0.999765
26.1 0.999767
26.11 0.999772
26.12 0.999774
26.13 0.999774
26.14 0.999774
26.15 0.999776
26.16 0.999776
26.17 0.999776
26.18 0.999776
26.19 0.999778
26.2 0.999779
26.21 0.999784
26.22 0.999784
26.23 0.999784
26.24 0.999785
26.25 0.999785
26.26 0.999786
26.27 0.999787
26.28 0.999787
26.29 0.999789
26.3 0.999793
26.31 0.999796
26.32 0.999798
26.33 0.999799
26.34 0.999802
26.35 0.999803
26.36 0.999804
26.37 0.999805
26.38 0.999806
26.39 0.999807
26.4 0.999808
26.41 0.999808
26.42 0.999809
26.43 0.99981
26.44 0.999811
26.45 0.999811
26.46 0.999814
26.47 0.999814
26.48 0.999815
26.49 0.999818
26.5 0.999819
26.51 0.99982
26.52 0.999822
26.53 0.999823
26.54 0.999823
26.55 0.999824
26.56 0.999825
26.57 0.999826
26.58 0.999827
26.59 0.999827
26.6 0.999827
26.61 0.999827
26.62 0.999829
26.63 0.999831
26.64 0.999835
26.65 0.999837
26.66 0.999839
26.67 0.999842
26.68 0.999843
26.69 0.999844
26.7 0.999845
26.71 0.999846
26.72 0.999847
26.73 0.999847
26.74 0.999848
26.75 0.999849
26.76 0.999849
26.77 0.999849
26.78 0.999851
26.79 0.999852
26.8 0.999854
26.81 0.999855
26.82 0.999856
26.83 0.999857
26.84 0.999858
26.85 0.99986
26.86 0.999861
26.87 0.999862
26.88 0.999863
26.89 0.999864
26.9 0.999867
26.91 0.999867
26.92 0.999867
26.93 0.999868
26.94 0.999868
26.95 0.999868
26.96 0.999869
26.97 0.99987
26.98 0.999871
26.99 0.999872
27 0.999874
27.01 0.999875
27.02 0.999876
27.03 0.999876
27.04 0.999876
27.05 0.999877
27.06 0.999878
27.07 0.999879
27.08 0.999882
27.09 0.999882
27.1 0.999882
27.11 0.999883
27.12 0.999883
27.13 0.999885
27.14 0.999885
27.15 0.999885
27.16 0.999886
27.17 0.999886
27.18 0.999886
27.19 0.999887
27.2 0.999887
27.21 0.999887
27.22 0.99989
27.23 0.999892
27.24 0.999892
27.25 0.999894
27.26 0.999894
27.27 0.999894
27.28 0.999894
27.29 0.999896
27.3 0.999896
27.31 0.999896
27.32 0.999897
27.33 0.999898
27.34 0.999902
27.35 0.999903
27.36 0.999903
27.37 0.999904
27.38 0.999906
27.39 0.999906
27.4 0.999906
27.41 0.999906
27.42 0.999906
27.43 0.999907
27.44 0.999908
27.45 0.999908
27.46 0.999909
27.47 0.999909
27.48 0.999909
27.49 0.999909
27.5 0.99991
27.51 0.999911
27.52 0.999911
27.53 0.999911
27.54 0.999912
27.55 0.999912
27.56 0.999914
27.57 0.999914
27.58 0.999914
27.59 0.999915
27.6 0.999916
27.61 0.999916
27.62 0.999917
27.63 0.999917
27.64 0.999917
27.65 0.999917
27.66 0.999918
27.67 0.999918
27.68 0.999918
27.69 0.999919
27.7 0.999919
27.71 0.999919
27.72 0.999919
27.73 0.999919
27.74 0.999919
27.75 0.999919
27.76 0.999919
27.77 0.999919
27.78 0.99992
27.79 0.99992
27.8 0.999921
27.81 0.999923
27.82 0.999923
27.83 0.999923
27.84 0.999923
27.85 0.999923
27.86 0.999923
27.87 0.999925
27.88 0.999925
27.89 0.999925
27.9 0.999925
27.91 0.999925
27.92 0.999925
27.93 0.999925
27.94 0.999926
27.95 0.999926
27.96 0.999926
27.97 0.999926
27.98 0.999928
27.99 0.999929
28 0.999929
28.01 0.999929
28.02 0.999929
28.03 0.99993
28.04 0.999931
28.05 0.999931
28.06 0.999931
28.07 0.999931
28.08 0.999931
28.09 0.999931
28.1 0.999931
28.11 0.999931
28.12 0.999931
28.13 0.999931
28.14 0.999931
28.15 0.999931
28.16 0.999931
28.17 0.999931
28.18 0.999931
28.19 0.999931
28.2 0.999932
28.21 0.999932
28.22 0.999932
28.23 0.999933
28.24 0.999936
28.25 0.999937
28.26 0.999937
28.27 0.999938
28.28 0.999938
28.29 0.999938
28.3 0.999938
28.31 0.999938
28.32 0.999938
28.33 0.999938
28.34 0.999938
28.35 0.999938
28.36 0.999938
28.37 0.999939
28.38 0.999939
28.39 0.999939
28.4 0.999939
28.41 0.999939
28.42 0.99994
28.43 0.99994
28.44 0.999941
28.45 0.999942
28.46 0.999942
28.47 0.999942
28.48 0.999942
28.49 0.999943
28.5 0.999943
28.51 0.999943
28.52 0.999943
28.53 0.999943
28.54 0.999943
28.55 0.999944
28.56 0.999944
28.57 0.999944
28.58 0.999944
28.59 0.999945
28.6 0.999945
28.61 0.999945
28.62 0.999945
28.63 0.999945
28.64 0.999946
28.65 0.999946
28.66 0.999946
28.67 0.999947
28.68 0.999948
28.69 0.999948
28.7 0.999949
28.71 0.999949
28.72 0.999949
28.73 0.999949
28.74 0.99995
28.75 0.99995
28.76 0.999951
28.77 0.999951
28.78 0.999951
28.79 0.999952
28.8 0.999952
28.81 0.999952
28.82 0.999952
28.83 0.999952
28.84 0.999952
28.85 0.999952
28.86 0.999952
28.87 0.999952
28.88 0.999953
28.89 0.999953
28.9 0.999953
28.91 0.999953
28.92 0.999953
28.93 0.999954
28.94 0.999954
28.95 0.999954
28.96 0.999955
28.97 0.999955
28.98 0.999955
28.99 0.999955
29 0.999955
29.01 0.999955
29.02 0.999955
29.03 0.999955
29.04 0.999955
29.05 0.999955
29.06 0.999955
29.07 0.999956
29.08 0.999956
29.09 0.999956
29.1 0.999956
29.11 0.999957
29.12 0.999957
29.13 0.999957
29.14 0.999957
29.15 0.999957
29.16 0.999957
29.17 0.999958
29.18 0.999958
29.19 0.999958
29.2 0.999958
29.21 0.999959
29.22 0.999959
29.23 0.999959
29.24 0.999961
29.25 0.999961
29.26 0.999961
29.27 0.999961
29.28 0.999961
29.29 0.999961
29.3 0.999961
29.31 0.999963
29.32 0.999963
29.33 0.999964
29.34 0.999965
29.35 0.999965
29.36 0.999965
29.37 0.999966
29.38 0.999966
29.39 0.999966
29.4 0.999966
29.41 0.999966
29.42 0.999967
29.43 0.999967
29.44 0.999968
29.45 0.999968
29.46 0.999968
29.47 0.999968
29.48 0.999968
29.49 0.999969
29.5 0.999969
29.51 0.999969
29.52 0.999969
29.53 0.999969
29.54 0.999969
29.55 0.999969
29.56 0.999969
29.57 0.999969
29.58 0.999969
29.59 0.999969
29.6 0.999969
29.61 0.999969
29.62 0.99997
29.63 0.99997
29.64 0.999971
29.65 0.999971
29.66 0.999971
29.67 0.999971
29.68 0.999971
29.69 0.999971
29.7 0.999971
29.71 0.999971
29.72 0.999971
29.73 0.999972
29.74 0.999972
29.75 0.999972
29.76 0.999972
29.77 0.999972
29.78 0.999972
29.79 0.999972
29.8 0.999972
29.81 0.999972
29.82 0.999972
29.83 0.999972
29.84 0.999972
29.85 0.999972
29.86 0.999972
29.87 0.999973
29.88 0.999973
29.89 0.999973
29.9 0.999973
29.91 0.999973
29.92 0.999973
29.93 0.999973
29.94 0.999973
29.95 0.999973
29.96 0.999973
29.97 0.999973
29.98 0.999973
29.99 0.999973
30 0.999973
30.01 0.999973
30.02 0.999973
30.03 0.999973
30.04 0.999973
30.05 0.999973
30.06 0.999973
30.07 0.999973
30.08 0.999973
30.09 0.999973
30.1 0.999974
30.11 0.999974
30.12 0.999974
30.13 0.999974
30.14 0.999975
30.15 0.999975
30.16 0.999975
30.17 0.999975
30.18 0.999976
30.19 0.999976
30.2 0.999976
30.21 0.999976
30.22 0.999976
30.23 0.999976
30.24 0.999976
30.25 0.999976
30.26 0.999976
30.27 0.999976
30.28 0.999976
30.29 0.999976
30.3 0.999977
30.31 0.999978
30.32 0.999978
30.33 0.999979
30.34 0.999979
30.35 0.999979
30.36 0.999979
30.37 0.999979
30.38 0.999979
30.39 0.999979
30.4 0.99998
30.41 0.999981
30.42 0.999981
30.43 0.999981
30.44 0.999981
30.45 0.999981
30.46 0.999983
30.47 0.999983
30.48 0.999983
30.49 0.999983
30.5 0.999983
30.51 0.999983
30.52 0.999983
30.53 0.999983
30.54 0.999983
30.55 0.999983
30.56 0.999984
30.57 0.999984
30.58 0.999985
30.59 0.999986
30.6 0.999986
30.61 0.999986
30.62 0.999986
30.63 0.999987
30.64 0.999987
30.65 0.999989
30.66 0.999989
30.67 0.999989
30.68 0.99999
30.69 0.99999
30.7 0.99999
30.71 0.99999
30.72 0.99999
30.73 0.99999
30.74 0.99999
30.75 0.99999
30.76 0.99999
30.77 0.99999
30.78 0.99999
30.79 0.99999
30.8 0.99999
30.81 0.99999
30.82 0.99999
30.83 0.99999
30.84 0.99999
30.85 0.99999
30.86 0.99999
30.87 0.99999
30.88 0.99999
30.89 0.99999
30.9 0.99999
30.91 0.99999
30.92 0.999991
30.93 0.999991
30.94 0.999991
30.95 0.999991
30.96 0.999991
30.97 0.999992
30.98 0.999993
30.99 0.999993
31 0.999993
31.01 0.999993
31.02 0.999993
31.03 0.999994
31.04 0.999994
31.05 0.999994
31.06 0.999994
31.07 0.999994
31.08 0.999994
31.09 0.999994
31.1 0.999994
31.11 0.999994
31.12 0.999994
31.13 0.999994
31.14 0.999994
31.15 0.999994
31.16 0.999994
31.17 0.999994
31.18 0.999994
31.19 0.999994
31.2 0.999994
31.21 0.999994
31.22 0.999994
31.23 0.999994
31.24 0.999994
31.25 0.999994
31.26 0.999994
31.27 0.999994
31.28 0.999994
31.29 0.999994
31.3 0.999994
31.31 0.999994
31.32 0.999994
31.33 0.999994
31.34 0.999994
31.35 0.999994
31.36 0.999994
31.37 0.999994
31.38 0.999994
31.39 0.999994
31.4 0.999994
31.41 0.999994
31.42 0.999994
31.43 0.999994
31.44 0.999994
31.45 0.999995
31.46 0.999995
31.47 0.999996
31.48 0.999996
31.49 0.999996
31.5 0.999996
31.51 0.999996
31.52 0.999996
31.53 0.999996
31.54 0.999996
31.55 0.999996
31.56 0.999996
31.57 0.999996
31.58 0.999996
31.59 0.999996
31.6 0.999996
31.61 0.999996
31.62 0.999997
31.63 0.999997
31.64 0.999997
31.65 0.999997
31.66 0.999997
31.67 0.999997
31.68 0.999997
31.69 0.999997
31.7 0.999997
31.71 0.999997
31.72 0.999997
31.73 0.999997
31.74 0.999997
31.75 0.999997
31.76 0.999997
31.77 0.999997
31.78 0.999997
31.79 0.999997
31.8 0.999997
31.81 0.999997
31.82 0.999997
31.83 0.999997
31.84 0.999997
31.85 0.999997
31.86 0.999997
31.87 0.999997
31.88 0.999997
31.89 0.999997
31.9 0.999997
31.91 0.999997
31.92 0.999997
31.93 0.999997
31.94 0.999997
31.95 0.999997
31.96 0.999997
31.97 0.999997
31.98 0.999997
31.99 0.999997
32 0.999997
32.01 0.999997
32.02 0.999997
32.03 0.999997
32.04 0.999997
32.05 0.999997
32.06 0.999997
32.07 0.999997
32.08 0.999997
32.09 0.999997
32.1 0.999997
32.11 0.999997
32.12 0.999997
32.13 0.999997
32.14 0.999997
32.15 0.999997
32.16 0.999997
32.17 0.999997
32.18 0.999997
32.19 0.999997
32.2 0.999997
32.21 0.999997
32.22 0.999997
32.23 0.999997
32.24 0.999997
32.25 0.999997
32.26 0.999997
32.27 0.999997
32.28 0.999997
32.29 0.999997
32.3 0.999997
32.31 0.999997
32.32 0.999997
32.33 0.999997
32.34 0.999997
32.35 0.999997
32.36 0.999997
32.37 0.999997
32.38 0.999997
32.39 0.999997
32.4 0.999997
32.41 0.999997
32.42 0.999997
32.43 0.999997
32.44 0.999997
32.45 0.999997
32.46 0.999997
32.47 0.999997
32.48 0.999997
32.49 0.999997
32.5 0.999997
32.51 0.999997
32.52 0.999997
32.53 0.999997
32.54 0.999997
32.55 0.999997
32.56 0.999997
32.57 0.999997
32.58 0.999997
32.59 0.999997
32.6 0.999997
32.61 0.999997
32.62 0.999997
32.63 0.999997
32.64 0.999997
32.65 0.999997
32.66 0.999997
32.67 0.999997
32.68 0.999997
32.69 0.999997
32.7 0.999997
32.71 0.999997
32.72 0.999997
32.73 0.999997
32.74 0.999997
32.75 0.999997
32.76 0.999997
32.77 0.999997
32.78 0.999997
32.79 0.999997
32.8 0.999997
32.81 0.999997
32.82 0.999997
32.83 0.999997
32.84 0.999997
32.85 0.999997
32.86 0.999997
32.87 0.999997
32.88 0.999997
32.89 0.999997
32.9 0.999997
32.91 0.999997
32.92 0.999998
32.93 0.999998
32.94 0.999998
32.95 0.999998
32.96 0.999998
32.97 0.999998
32.98 0.999998
32.99 0.999998
33 0.999998
33.01 0.999998
33.02 0.999998
33.03 0.999998
33.04 0.999998
33.05 0.999998
33.06 0.999998
33.07 0.999998
33.08 0.999998
33.09 0.999998
33.1 0.999998
33.11 0.999998
33.12 0.999998
33.13 0.999998
33.14 0.999998
33.15 0.999998
33.16 0.999998
33.17 0.999998
33.18 0.999998
33.19 0.999998
33.2 0.999998
33.21 0.999998
33.22 0.999998
33.23 0.999998
33.24 0.999998
33.25 0.999998
33.26 0.999998
33.27 0.999998
33.28 0.999998
33.29 0.999998
33.3 0.999998
33.31 0.999998
33.32 0.999998
33.33 0.999998
33.34 0.999998
33.35 0.999998
33.36 0.999998
33.37 0.999998
33.38 0.999998
33.39 0.999998
33.4 0.999998
33.41 0.999998
33.42 0.999998
33.43 0.999998
33.44 0.999998
33.45 0.999998
33.46 0.999998
33.47 0.999998
33.48 0.999998
33.49 0.999998
33.5 0.999998
33.51 0.999998
33.52 0.999998
33.53 0.999998
33.54 0.999998
33.55 0.999998
33.56 0.999998
33.57 0.999998
33.58 0.999998
33.59 0.999998
33.6 0.999998
33.61 0.999998
33.62 0.999998
33.63 0.999998
33.64 0.999998
33.65 0.999998
33.66 0.999998
33.67 0.999998
33.68 0.999998
33.69 0.999998
33.7 0.999998
33.71 0.999998
33.72 0.999998
33.73 0.999998
33.74 0.999998
33.75 0.999998
33.76 0.999998
33.77 0.999998
33.78 0.999998
33.79 0.999998
33.8 0.999998
33.81 0.999998
33.82 0.999998
33.83 0.999998
33.84 0.999999
33.85 0.999999
33.86 0.999999
33.87 0.999999
33.88 0.999999
33.89 0.999999
33.9 0.999999
33.91 0.999999
33.92 0.999999
33.93 0.999999
33.94 0.999999
33.95 0.999999
33.96 0.999999
33.97 0.999999
33.98 0.999999
33.99 0.999999
34 0.999999
34.01 0.999999
34.02 0.999999
34.03 0.999999
34.04 0.999999
34.05 0.999999
34.06 0.999999
34.07 0.999999
34.08 0.999999
34.09 0.999999
34.1 0.999999
34.11 0.999999
34.12 0.999999
34.13 0.999999
34.14 0.999999
34.15 0.999999
34.16 0.999999
34.17 0.999999
34.18 0.999999
34.19 0.999999
34.2 0.999999
34.21 0.999999
34.22 0.999999
34.23 0.999999
34.24 0.999999
34.25 0.999999
34.26 0.999999
34.27 0.999999
34.28 0.999999
34.29 0.999999
34.3 0.999999
34.31 0.999999
34.32 0.999999
34.33 0.999999
34.34 0.999999
34.35 0.999999
34.36 0.999999
34.37 0.999999
34.38 0.999999
34.39 0.999999
34.4 0.999999
34.41 0.999999
34.42 0.999999
34.43 0.999999
34.44 0.999999
34.45 0.999999
34.46 0.999999
34.47 0.999999
34.48 0.999999
34.49 0.999999
34.5 0.999999
34.51 0.999999
34.52 0.999999
34.53 0.999999
34.54 0.999999
34.55 0.999999
34.56 0.999999
34.57 0.999999
34.58 0.999999
34.59 0.999999
34.6 0.999999
34.61 0.999999
34.62 0.999999
34.63 0.999999
34.64 0.999999
34.65 0.999999
34.66 0.999999
34.67 0.999999
34.68 0.999999
34.69 0.999999
34.7 0.999999
34.71 0.999999
34.72 0.999999
34.73 0.999999
34.74 0.999999
34.75 0.999999
34.76 0.999999
34.77 0.999999
34.78 0.999999
34.79 0.999999
34.8 0.999999
34.81 0.999999
34.82 0.999999
34.83 0.999999
34.84 0.999999
34.85 0.999999
34.86 0.999999
34.87 0.999999
34.88 0.999999
34.89 0.999999
34.9 0.999999
34.91 0.999999
34.92 0.999999
34.93 0.999999
34.94 0.999999
34.95 0.999999
34.96 0.999999
34.97 0.999999
34.98 0.999999
34.99 0.999999
35 0.999999
<!DOCTYPE html>
<meta charset="utf-8">
<html>
<head>
<script src="d3.v3.min.js" charset="utf-8"></script>
<title>Super Complicated Dick Size Percentile Calculator</title>
<style>
table,th,td {
border: 1px solid grey;
border-collapse:collapse;
padding: 5px;
}
</style>
</head>
<body>
<h1>Joint Length+Girth and Volumetric Percentiles</h1>
<h3>How many dudes have penises that are both longer and girthier than yours? Enter your numbers and find out!</h3>
<p>
* All inputed values are rounded to the nearest 10th of an inch. Volume calculations assumes errbody got a perfectly cylindrical dick.
</p>
<div>
<form>
Dataset:
<select id="dataset">
<option value="hungfun">Hungfun Average</option>
<option value="herbenick">Herbenick et al, 2013</option>
</select><br />
Length: <input type="number" id="length" name="length" placeholder="Erect Length (in)"><br />
Girth: <input type="number" id="girth" name="girth" placeholder="Erect Girth (in)"><br />
</form>
</div>
<div id="result">
<h2 id="percent"></h2>
<h4 id="thousand"></h4>
<h3 id="volume"></h3>
<h4 id="vol-thousand"</h4>
</div>
<hr>
<h3>More Information</h3>
<div>
<p>These percentiles are reported assuming that penis length and girth are distributed normally with the following parameters:<br />
<table>
<tr>
<th>
</th>
<th>
<a href="http://imgur.com/a/3r5sH">Hungfun's clinical averages</a>
</th>
<th>
<a href="http://onlinelibrary.wiley.com/doi/10.1111/jsm.12244/full">Herbenick et al, 2013</a>
</th>
</tr>
<tr>
<th>
Length in inches: mean (sd)
</th>
<td>5.76(0.83)
</td>
<td>5.57 (1.04)
</td>
</tr>
<tr>
<th>
Girth in inches: mean (sd)
</th>
<td>4.67 (0.54)
</td>
<td>4.81 (0.88)
</td>
</tr>
</table>
</p>
<p>
Hungfun's chart culls data only from studies utilizing clinical measurements. Herbenick's study uses self-reported measurements for the purposes of condom sizing. According to Herbenick, the study participants had a vested interest in correctly measuring in order to obtain a custom fit condom. Although Hungfun's parameters are innately more trustworthy due to standardized measuring practices, Herbenick's data may better represent the self-measured penis size. You can use Herbenick's <a href="http://i.imgur.com/e4sH9UQ.png">measuring instructions</a> if you'd like to use their dataset.
</p>
<p>
There is some evidence that clinical measurements of penis girth are lower than self-reported measurements of girth. That's not really surprising-- a doctor with a ruler in his hand isn't the most sexually stimulating thing for many men.
</p>
<p>
<img src="http://i.imgur.com/rUPekgi.png"><br />
Figure 1. A comparison of observed and gaussian fit data from the Herbenick study vs Hungfun's averages.
</p>
<p>
<img src="http://i.imgur.com/YxJHD9W.png"> <br />
Figure 2. The distribution of penis size with respect to length and girth (darker shades of blue are more common). This image was generated using parameters set in Hungfun's charts.
</p>
<p>
<img src="http://i.imgur.com/fsxAkYE.png"> <br />
Figure 3. A distribution of penis volume calculated from the multivariate distribution in the image above. It assumes your dick is a cylinder, so your actual volume is gonna be lower. This image was generated using parameters set in Hungfun's charts.
</p>
<p>
More methodology is described <a href="http://www.reddit.com/r/bigdickproblems/comments/1zphzn/you_know_your_length_percentile_and_your_girth/">here</a>. <br />
To find out how many people are longer or thicker, check out <a href="http://howlongismyschlong.com">howlongismyschlong.com</a><br />
Source code can be found at <a href="https://gist.github.com/abovethemean/9395398/">github</a>
</p>
</div>
<script>
var datasetSelect = d3.select("select#dataset");
var setData = function () {
var percentileCsv;
var volumeCsv;
if (datasetSelect.node().value == "herbenick") {
percentileCsv = "herbenick.csv";
volumeCsv = "herbenick_vol.csv";
}
else {
percentileCsv = "hungfun.csv";
volumeCsv = "hungfun_vol.csv";
}
d3.csv(percentileCsv, function(data) {
d3.csv(volumeCsv, function(volData) {
var nest = d3.nest()
.key(function(d) {return d.length})
.key(function(d) {return d.girth})
.map(data);
var volNest = d3.nest()
.key(function(d) {return d.volume})
.map(volData);
var resultDiv = d3.select("div#result");
var calc = function () {
var length = d3.select("#length").node().value;
var girth = d3.select("#girth").node().value;
var roundLength = d3.round(length,1);
var roundGirth= d3.round(girth,1);
console.log(length);
console.log(typeof(length));
console.log(roundLength);
if(length && girth) {
var percentile = 0;
if (roundLength >= 2 && roundLength <= 10 && roundGirth >= 2 && roundGirth <= 8) {
percentile = parseFloat(nest[roundLength][roundGirth][0].percentile);
}
else if (roundGirth > 8 || roundLength > 10) {
percentile = 1;
}
resultDiv.select("h2#percent").text(function() {
return d3.round(percentile*100,2) + "%"
});
resultDiv.select("h4#thousand").text(function() {
var numGuys = 1000 - d3.round(percentile * 1000, 0);
return "In a room of 1000 guys, " + numGuys + " should be both longer and girthier than you.";
});
var volume = roundLength * Math.pow((roundGirth / 2 / Math.PI), 2) * Math.PI;
var volRound = d3.round(volume,2);
console.log(volNest);
resultDiv.select("h3#volume").html(function() {
var floz = d3.round(volRound * 0.554113,2);
return "Your dick is at most " + volRound + " in<sup>3</sup> ("+floz+" fl oz)";
});
resultDiv.select("h4#vol-thousand").text(function () {
var volPercentile = 0;
if (volRound < 0) {
volPercentile = 0;
}
else if (volRound <= 35) {
volPercentile = d3.round(volNest[volRound][0].percentile * 100,2);
}
else {
volPercentile = 100;
}
return "That's more voluminous than " + volPercentile + "% of dudes!";
});
}
}
d3.selectAll('input').on('change', calc);
calc();
});
});
}
setData();
datasetSelect.on('change', setData);
</script>
</body>
</html>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment