<?xml version="1.0" encoding="UTF-8"?>
<module xmlns="http://www.xml-cml.org/schema" xmlns:cc="http://www.xml-cml.org/dictionary/compchem/" xmlns:cml="http://www.xml-cml.org/schema" xmlns:cmlx="http://www.xml-cml.org/schema/cmlx" xmlns:compchem="http://www.xml-cml.org/dictionary/compchem/" xmlns:convention="http://www.xml-cml.org/convention/" xmlns:g="http://www.iochem-bd.org/dictionary/gaussian/" xmlns:nonsi="http://www.xml-cml.org/unit/nonSi/" xmlns:nonsi2="http://www.iochem-bd.org/unit/nonSi2/" xmlns:si="http://www.xml-cml.org/unit/si/" xmlns:xi="http://www.w3.org/2001/XInclude" xmlns:xsd="http://www.w3.org/2001/XMLSchema" convention="convention:compchem" id="gaussian.log">
<module dictRef="cc:jobList" id="jobList1">
<module cmlx:templateRef="job" dictRef="cc:job" id="job">
<module dictRef="cc:environment" id="environment">
<parameterList>
<parameter dictRef="cc:program">
<scalar dataType="xsd:string">Gaussian 16</scalar>
</parameter>
<parameter dictRef="cc:hostname">
<scalar dataType="xsd:string">GINC-GATCHAN51</scalar>
</parameter>
<parameter dictRef="cc:jobname">
<scalar dataType="xsd:string">IROCA</scalar>
</parameter>
<parameter dictRef="cc:title">
<scalar dataType="xsd:string">TS1</scalar>
</parameter>
<parameter dictRef="cc:version">
<scalar dataType="xsd:string">ES64L-G16RevA.03</scalar>
</parameter>
<parameter dictRef="cc:run.date">
<scalar dataType="xsd:string">4-Mar-2026</scalar>
</parameter>
<parameter dictRef="cc:program">
<scalar dataType="xsd:string">Gaussian 16</scalar>
</parameter>
<parameter dictRef="cc:program.date">
<scalar dataType="xsd:string">25-Dec-2016</scalar>
</parameter>
<parameter dictRef="cc:version">
<scalar dataType="xsd:string">ES64L-G16RevA.03</scalar>
</parameter>
</parameterList>
</module>
<module dictRef="cc:initialization" id="initialization">
<parameterList>
<parameter dictRef="cc:degfreedom">
<scalar cmlx:templateRef="degfreedom" dataType="xsd:integer">195</scalar>
</parameter>
<parameter dictRef="cc:frameworkgroup">
<scalar cmlx:templateRef="framework" dataType="xsd:string">C1[X(C31H29ClN3ORuS)]</scalar>
</parameter>
<parameter dictRef="cc:method">
<scalar dataType="xsd:string">RwB97XD</scalar>
</parameter>
<parameter dictRef="cc:basis">
<scalar dataType="xsd:string">Gen</scalar>
</parameter>
<parameter dictRef="g:operation">
<scalar dataType="xsd:string">Freq</scalar>
</parameter>
<parameter dictRef="g:keyword">
<scalar dataType="xsd:string">#P</scalar>
</parameter>
<parameter dictRef="g:keyword">
<scalar dataType="xsd:string">wB97XD/gen</scalar>
</parameter>
<parameter dictRef="g:keyword">
<scalar dataType="xsd:string">pseudo=read</scalar>
</parameter>
<parameter dictRef="g:keyword">
<scalar dataType="xsd:string">gfinput</scalar>
</parameter>
<parameter dictRef="g:keyword">
<scalar dataType="xsd:string">pop=nbo</scalar>
</parameter>
<parameter dictRef="g:keyword">
<scalar dataType="xsd:string">SCRF=(SMD,Solvent=Ethanol)</scalar>
</parameter>
<parameter dictRef="g:keyword">
<scalar dataType="xsd:string">freq</scalar>
</parameter>
</parameterList>
<molecule cmlx:templateRef="mol" formalCharge="1" id="zmat" spinMultiplicity="1">
<atomArray>
<atom elementType="Ru" id="a1" x3="-2.43033" y3="-0.00146" z3="-0.17194"/>
<atom elementType="Cl" id="a2" x3="-3.14705" y3="1.55368" z3="-1.87563"/>
<atom elementType="S" id="a3" x3="-3.6723" y3="-1.74691" z3="-1.60892"/>
<atom elementType="O" id="a4" x3="-3.74687" y3="-3.17766" z3="-1.1488"/>
<atom elementType="N" id="a5" x3="-2.74615" y3="1.44747" z3="1.19095"/>
<atom elementType="N" id="a6" x3="-0.51446" y3="0.80479" z3="0.07003"/>
<atom elementType="N" id="a7" x3="-1.64636" y3="-1.43395" z3="1.13081"/>
<atom elementType="C" id="a8" x3="-2.98542" y3="-1.70604" z3="-3.2868"/>
<atom elementType="H" id="a9" x3="-3.59902" y3="-2.37143" z3="-3.9100"/>
<atom elementType="H" id="a10" x3="-1.9606" y3="-2.09221" z3="-3.21316"/>
<atom elementType="H" id="a11" x3="-2.9924" y3="-0.66538" z3="-3.63762"/>
<atom elementType="C" id="a12" x3="-5.35536" y3="-1.15804" z3="-1.93861"/>
<atom elementType="H" id="a13" x3="-5.81073" y3="-1.85858" z3="-2.65237"/>
<atom elementType="H" id="a14" x3="-5.2995" y3="-0.12997" z3="-2.32043"/>
<atom elementType="H" id="a15" x3="-5.8869" y3="-1.19418" z3="-0.9790"/>
<atom elementType="C" id="a16" x3="-3.83321" y3="1.50604" z3="1.98082"/>
<atom elementType="H" id="a17" x3="-4.51625" y3="0.65643" z3="1.92071"/>
<atom elementType="C" id="a18" x3="-4.07409" y3="2.59172" z3="2.81639"/>
<atom elementType="H" id="a19" x3="-4.97008" y3="2.60293" z3="3.43816"/>
<atom elementType="C" id="a20" x3="-3.15862" y3="3.64607" z3="2.8379"/>
<atom elementType="H" id="a21" x3="-3.32154" y3="4.51101" z3="3.4836"/>
<atom elementType="C" id="a22" x3="-2.0275" y3="3.57621" z3="2.02143"/>
<atom elementType="H" id="a23" x3="-1.28743" y3="4.37803" z3="2.01248"/>
<atom elementType="C" id="a24" x3="-1.84895" y3="2.46723" z3="1.20088"/>
<atom elementType="C" id="a25" x3="-0.70505" y3="2.27597" z3="0.24862"/>
<atom elementType="H" id="a26" x3="-0.98208" y3="2.69132" z3="-0.73069"/>
<atom elementType="H" id="a27" x3="0.21838" y3="2.76159" z3="0.59823"/>
<atom elementType="C" id="a28" x3="0.08569" y3="0.23866" z3="1.32093"/>
<atom elementType="H" id="a29" x3="1.18143" y3="0.28775" z3="1.27529"/>
<atom elementType="H" id="a30" x3="-0.22971" y3="0.87768" z3="2.15873"/>
<atom elementType="C" id="a31" x3="-0.40414" y3="-1.15126" z3="1.59901"/>
<atom elementType="C" id="a32" x3="0.32899" y3="-2.07186" z3="2.3411"/>
<atom elementType="H" id="a33" x3="1.33562" y3="-1.81494" z3="2.6740"/>
<atom elementType="C" id="a34" x3="-0.23896" y3="-3.31372" z3="2.63712"/>
<atom elementType="H" id="a35" x3="0.31521" y3="-4.05057" z3="3.22195"/>
<atom elementType="C" id="a36" x3="-1.51879" y3="-3.5959" z3="2.16064"/>
<atom elementType="H" id="a37" x3="-2.00011" y3="-4.5558" z3="2.35224"/>
<atom elementType="C" id="a38" x3="-2.18927" y3="-2.63863" z3="1.40305"/>
<atom elementType="H" id="a39" x3="-3.15846" y3="-2.85255" z3="0.94977"/>
<atom elementType="C" id="a40" x3="0.28742" y3="0.47749" z3="-1.1701"/>
<atom elementType="H" id="a41" x3="-0.25698" y3="0.95499" z3="-1.99445"/>
<atom elementType="H" id="a42" x3="0.19383" y3="-0.60762" z3="-1.30442"/>
<atom elementType="C" id="a43" x3="1.72538" y3="0.92408" z3="-1.13697"/>
<atom elementType="C" id="a44" x3="2.02917" y3="2.23464" z3="-1.53678"/>
<atom elementType="H" id="a45" x3="1.22813" y3="2.87476" z3="-1.91424"/>
<atom elementType="C" id="a46" x3="3.32543" y3="2.73369" z3="-1.48335"/>
<atom elementType="H" id="a47" x3="3.53246" y3="3.75661" z3="-1.80518"/>
<atom elementType="C" id="a48" x3="4.38303" y3="1.92887" z3="-1.02611"/>
<atom elementType="C" id="a49" x3="5.7310" y3="2.42053" z3="-0.94765"/>
<atom elementType="H" id="a50" x3="5.92484" y3="3.45202" z3="-1.25034"/>
<atom elementType="C" id="a51" x3="6.74759" y3="1.6251" z3="-0.50943"/>
<atom elementType="H" id="a52" x3="7.76798" y3="2.0116" z3="-0.45485"/>
<atom elementType="C" id="a53" x3="6.50987" y3="0.2645" z3="-0.11317"/>
<atom elementType="C" id="a54" x3="7.54528" y3="-0.57233" z3="0.33888"/>
<atom elementType="H" id="a55" x3="8.56176" y3="-0.17563" z3="0.39295"/>
<atom elementType="C" id="a56" x3="7.28925" y3="-1.89218" z3="0.71239"/>
<atom elementType="H" id="a57" x3="8.10821" y3="-2.52645" z3="1.05799"/>
<atom elementType="C" id="a58" x3="5.99472" y3="-2.40667" z3="0.64329"/>
<atom elementType="H" id="a59" x3="5.79901" y3="-3.44236" z3="0.93121"/>
<atom elementType="C" id="a60" x3="4.92857" y3="-1.60529" z3="0.19906"/>
<atom elementType="C" id="a61" x3="3.58581" y3="-2.10063" z3="0.10305"/>
<atom elementType="H" id="a62" x3="3.39441" y3="-3.1423" z3="0.37319"/>
<atom elementType="C" id="a63" x3="2.56119" y3="-1.30866" z3="-0.32737"/>
<atom elementType="H" id="a64" x3="1.56307" y3="-1.74076" z3="-0.39388"/>
<atom elementType="C" id="a65" x3="2.77069" y3="0.06659" z3="-0.7047"/>
<atom elementType="C" id="a66" x3="4.1086" y3="0.57937" z3="-0.63846"/>
<atom elementType="C" id="a67" x3="5.17871" y3="-0.25231" z3="-0.18475"/>
</atomArray>
<bondArray/>
<formula concise="C31H29ClN3ORuS"/>
<property dictRef="cml:molmass">
<scalar units="unit:dalton">598.9392</scalar>
</property>
<list cmlx:templateRef="charge">
<list>
<scalar dataType="xsd:integer" dictRef="g:charge">1</scalar>
<scalar dataType="xsd:integer" dictRef="g:mult">1</scalar>
</list>
</list>
<formula convention="iupac:inchi" inline="InChI=1/31C.Cl.3N.O.Ru.S.29H">
<scalar dataType="xsd:integer" id="auxInfo">AuxInfo=1/0/N:8;12;16;18;20;22;24;25;28;31;32;34;36;38;40;43;44;46;48;49;51;53;54;56;58;60;61;63;65;66;67;2;5;6;7;4;1;3;9;10;11;13;14;15;17;19;21;23;26;27;29;30;33;35;37;39;41;42;45;47;50;52;55;57;59;62;64/rA:67nRuCl0S0O0N0N0N0C0H0H0H0C0H0H0H0C0H0C0H0C0H0C0H0C0C0H0H0C0H0H0C0C0H0C0H0C0H0C0H0C0H0H0C0C0H0C0H0C0C0H0C0H0C0C0H0C0H0C0H0C0C0H0C0H0C0C0C0/rB:;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;/rC:-2.4303,-.0015,-.1719;-3.1471,1.5537,-1.8756;-3.6723,-1.7469,-1.6089;-3.7469,-3.1777,-1.1488;-2.7462,1.4475,1.1909;-.5145,.8048,.07;-1.6464,-1.434,1.1308;-2.9854,-1.706,-3.2868;-3.599,-2.3714,-3.91;-1.9606,-2.0922,-3.2132;-2.9924,-.6654,-3.6376;-5.3554,-1.158,-1.9386;-5.8107,-1.8586,-2.6524;-5.2995,-.13,-2.3204;-5.8869,-1.1942,-.979;-3.8332,1.506,1.9808;-4.5163,.6564,1.9207;-4.0741,2.5917,2.8164;-4.9701,2.6029,3.4382;-3.1586,3.6461,2.8379;-3.3215,4.511,3.4836;-2.0275,3.5762,2.0214;-1.2874,4.378,2.0125;-1.849,2.4672,1.2009;-.705,2.276,.2486;-.9821,2.6913,-.7307;.2184,2.7616,.5982;.0857,.2387,1.3209;1.1814,.2878,1.2753;-.2297,.8777,2.1587;-.4041,-1.1513,1.599;.329,-2.0719,2.3411;1.3356,-1.8149,2.674;-.239,-3.3137,2.6371;.3152,-4.0506,3.222;-1.5188,-3.5959,2.1606;-2.0001,-4.5558,2.3522;-2.1893,-2.6386,1.403;-3.1585,-2.8525,.9498;.2874,.4775,-1.1701;-.257,.955,-1.9945;.1938,-.6076,-1.3044;1.7254,.9241,-1.137;2.0292,2.2346,-1.5368;1.2281,2.8748,-1.9142;3.3254,2.7337,-1.4833;3.5325,3.7566,-1.8052;4.383,1.9289,-1.0261;5.731,2.4205,-.9476;5.9248,3.452,-1.2503;6.7476,1.6251,-.5094;7.768,2.0116,-.4548;6.5099,.2645,-.1132;7.5453,-.5723,.3389;8.5618,-.1756,.393;7.2893,-1.8922,.7124;8.1082,-2.5265,1.058;5.9947,-2.4067,.6433;5.799,-3.4424,.9312;4.9286,-1.6053,.1991;3.5858,-2.1006,.1031;3.3944,-3.1423,.3732;2.5612,-1.3087,-.3274;1.5631,-1.7408,-.3939;2.7707,.0666,-.7047;4.1086,.5794,-.6385;5.1787,-.2523,-.1847;</scalar>
</formula>
</molecule>
<module dictRef="cc:userDefinedModule" id="otherComponents">
<module cmlx:templateRef="entering" dictRef="cc:userDefinedModule">
<scalar dataType="xsd:string" dictRef="g:link0">g16</scalar>
<array dataType="xsd:string" dictRef="g:command" size="3">/aplic/Gaussian/g16_a03/g16/l1.exe "/sgetmp/1523794.1.llarga3d.q/Gau-3833.inp" -scrdir="/sgetmp/1523794.1.llarga3d.q/"</array>
</module>
<module cmlx:templateRef="l1" dictRef="cc:userDefinedModule">
<module cmlx:templateRef="l1.end">
<array dataType="xsd:string" dictRef="g:kk" size="1">chk=/users/iroca/tfm/ts/2b-2c/chloro/Ts1_wB97XD.chk</array>
<array dataType="xsd:string" dictRef="g:kk" size="1">nproc=16</array>
<array dataType="xsd:string" dictRef="g:kk" size="1">mem=100Gb</array>
<scalar cmlx:templateRef="title" dataType="xsd:string" dictRef="cc:title">#P wB97XD/gen pseudo=read gfinput pop=nbo SCRF=(SMD,Solvent=Ethanol) f</scalar>
<list cmlx:templateRef="control">
<scalar dataType="xsd:string" dictRef="g:control">1/10=4,30=1,38=1/1,3</scalar>
<scalar dataType="xsd:string" dictRef="g:control">2/12=2,17=6,18=5,40=1/2</scalar>
<scalar dataType="xsd:string" dictRef="g:control">3/5=7,11=2,16=1,17=8,24=10,25=1,30=1,70=32201,71=2,72=4,74=-58,140=1/1,2,3</scalar>
<scalar dataType="xsd:string" dictRef="g:control">4//1</scalar>
<scalar dataType="xsd:string" dictRef="g:control">5/5=2,38=5,53=4,98=1/2</scalar>
<scalar dataType="xsd:string" dictRef="g:control">8/6=4,10=90,11=11/1</scalar>
<scalar dataType="xsd:string" dictRef="g:control">11/6=1,8=1,9=11,15=111,16=1/1,2,10</scalar>
<scalar dataType="xsd:string" dictRef="g:control">10/6=1/2</scalar>
<scalar dataType="xsd:string" dictRef="g:control">6/7=2,8=2,9=2,10=2,28=1,40=1/1,7</scalar>
<scalar dataType="xsd:string" dictRef="g:control">7/8=1,10=1,25=1/1,2,3,16</scalar>
<scalar dataType="xsd:string" dictRef="g:control">1/10=4,30=1/3</scalar>
<scalar dataType="xsd:string" dictRef="g:control">99//99</scalar>
</list>
</module>
</module>
<module cmlx:templateRef="l101" dictRef="cc:userDefinedModule">
<module cmlx:templateRef="l101.title">
<scalar cmlx:templateRef="title" dataType="xsd:string" dictRef="cc:title">TS1</scalar>
</module>
<module cmlx:templateRef="l101.isotope2">
<array cmlx:templateRef="atom" dataType="xsd:integer" dictRef="x:x" size="67">1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67</array>
<array cmlx:templateRef="iatwgt" dataType="xsd:integer" dictRef="x:x" size="67">102 35 32 16 14 14 14 12 1 1 1 12 1 1 1 12 1 12 1 12 1 12 1 12 12 1 1 12 1 1 12 12 1 12 1 12 1 12 1 12 1 1 12 12 1 12 1 12 12 1 12 1 12 12 1 12 1 12 1 12 12 1 12 1 12 12 12</array>
<array cmlx:templateRef="atmwgt" dataType="xsd:double" dictRef="x:x" size="67">101.9037000 34.9688527 31.9720718 15.9949146 14.0030740 14.0030740 14.0030740 12.0000000 1.0078250 1.0078250 1.0078250 12.0000000 1.0078250 1.0078250 1.0078250 12.0000000 1.0078250 12.0000000 1.0078250 12.0000000 1.0078250 12.0000000 1.0078250 12.0000000 12.0000000 1.0078250 1.0078250 12.0000000 1.0078250 1.0078250 12.0000000 12.0000000 1.0078250 12.0000000 1.0078250 12.0000000 1.0078250 12.0000000 1.0078250 12.0000000 1.0078250 1.0078250 12.0000000 12.0000000 1.0078250 12.0000000 1.0078250 12.0000000 12.0000000 1.0078250 12.0000000 1.0078250 12.0000000 12.0000000 1.0078250 12.0000000 1.0078250 12.0000000 1.0078250 12.0000000 12.0000000 1.0078250 12.0000000 1.0078250 12.0000000 12.0000000 12.0000000</array>
<array cmlx:templateRef="nucspn" dataType="xsd:integer" dictRef="x:x" size="67">0 3 0 0 2 2 2 0 1 1 1 0 1 1 1 0 1 0 1 0 1 0 1 0 0 1 1 0 1 1 0 0 1 0 1 0 1 0 1 0 1 1 0 0 1 0 1 0 0 1 0 1 0 0 1 0 1 0 1 0 0 1 0 1 0 0 0</array>
<array cmlx:templateRef="atzeff" dataType="xsd:double" dictRef="x:x" size="67">-0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000 -0.0000000</array>
</module>
<list cmlx:templateRef="rest">
<scalar dataType="xsd:string" dictRef="x:l101">(Enter /aplic/Gaussian/g16_a03/g16/l101.exe)</scalar>
</list>
</module>
<module cmlx:templateRef="l103" dictRef="cc:userDefinedModule">
<list cmlx:templateRef="berny">
<scalar dataType="xsd:string" dictRef="g:optimization">Berny optimization.</scalar>
</list>
</module>
<module cmlx:templateRef="l302.basis" dictRef="cc:userDefinedModule">
<list cmlx:templateRef="basis">
<scalar dataType="xsd:string" dictRef="g:basis">NPDir=0 NMtPBC=     1 NCelOv=     1 NCel=       1 NClECP=     1 NCelD=      1</scalar>
<scalar dataType="xsd:string" dictRef="g:basis">NCelK=      1 NCelE2=     1 NClLst=     1 CellRange=     0.0.</scalar>
<scalar dataType="xsd:string" dictRef="g:basis">One-electron integrals computed using PRISM.</scalar>
<scalar dataType="xsd:string" dictRef="g:basis">One-electron integral symmetry used in STVInt</scalar>
</list>
</module>
<module cmlx:templateRef="l103" dictRef="cc:userDefinedModule">
<list cmlx:templateRef="berny">
<scalar dataType="xsd:string" dictRef="g:optimization">Berny optimization.</scalar>
</list>
<module cmlx:templateRef="l103.localminsaddle">
<scalar cmlx:templateRef="r" dataType="xsd:string" dictRef="cc:minmaxts">local minimum</scalar>
<array cmlx:templateRef="junk" dataType="xsd:string" dictRef="x:junk1" size="9">Step number 1 out of a maximum of 2</array>
<array cmlx:templateRef="junk" dataType="xsd:string" dictRef="x:junk1" size="7">All quantities printed in internal units (Hartrees-Bohrs-Radians)</array>
<array cmlx:templateRef="junk" dataType="xsd:string" dictRef="x:junk1" size="9">Second derivative matrix not updated -- analytic derivatives used.</array>
<array cmlx:templateRef="eigenvaluelist" dataType="xsd:double" dictRef="" size="195">-0.01391 0.00041 0.00053 0.00085 0.00102 0.00115 0.00173 0.00192 0.00247 0.00307 0.00328 0.00362 0.00398 0.00430 0.00448 0.00484 0.00556 0.00651 0.00799 0.00852 0.01003 0.01019 0.01065 0.01194 0.01246 0.01332 0.01369 0.01489 0.01687 0.01789 0.02056 0.02218 0.02288 0.02386 0.02437 0.02529 0.02606 0.02680 0.02964 0.03077 0.03121 0.03427 0.03494 0.03559 0.03679 0.03823 0.04498 0.04572 0.04782 0.05052 0.05120 0.05183 0.05354 0.05361 0.05464 0.05495 0.05600 0.05660 0.05710 0.05767 0.05848 0.05892 0.06060 0.06097 0.06246 0.06289 0.06515 0.06654 0.06811 0.07272 0.07373 0.07738 0.07871 0.08350 0.08689 0.08920 0.09150 0.09349 0.09435 0.09758 0.10109 0.10265 0.10354 0.10463 0.10496 0.10658 0.10783 0.11735 0.11838 0.11975 0.12171 0.12330 0.12438 0.12788 0.13268 0.13448 0.13633 0.14938 0.15486 0.15770 0.16105 0.17655 0.18492 0.18660 0.20078 0.20238 0.20662 0.21422 0.21746 0.22000 0.22219 0.22398 0.22926 0.23380 0.23814 0.24225 0.24512 0.24844 0.26178 0.26326 0.27351 0.28461 0.29368 0.30369 0.30529 0.30994 0.32626 0.32932 0.33670 0.34006 0.34066 0.35079 0.36178 0.37926 0.38414 0.39966 0.40548 0.44901 0.48565 0.51136 0.51453 0.52090 0.53027 0.54182 0.54812 0.57160 0.58020 0.60453 0.64031 0.64856 0.65635 0.68130 0.69768 0.70905 0.71183 0.72137 0.73638 0.74466 0.77703 0.80323 0.81265 0.81943 0.82499 0.82683 0.84161 0.84551 0.84656 0.84963 0.86518 0.87574 0.89672 0.92037 0.92245 0.94520 0.94929 0.95362 0.96557 1.00702 1.03546 1.07254 1.07405 1.08846 1.09687 1.09862 1.10332 1.12581 1.18197 1.21001 1.22335 1.24432 1.25228 1.26464 1.26739 1.26879 1.28912</array>
<array cmlx:templateRef="junk" dataType="xsd:string" dictRef="x:junk1" size="8">Angle between NR and scaled steps= 60.50 degrees.</array>
<array cmlx:templateRef="junk" dataType="xsd:string" dictRef="x:junk1" size="8">Angle between quadratic step and forces= 43.96 degrees.</array>
<array cmlx:templateRef="junk" dataType="xsd:string" dictRef="x:junk1" size="7">Linear search not attempted -- first point.</array>
</module>
<module cmlx:templateRef="l103.itemconverge">
<list cmlx:templateRef="row">
<array dataType="xsd:string" delimiter="|" dictRef="g:item" size="4">|Maximum Force|RMS     Force|Maximum Displacement|RMS     Displacement|</array>
<array dataType="xsd:double" dictRef="g:value" size="4">0.017606 0.004272 0.089650 0.021158</array>
<array dataType="xsd:double" dictRef="g:threshold" size="4">0.000450 0.000300 0.001800 0.001200</array>
<array dataType="xsd:string" dictRef="g:converged" size="4">NO NO NO NO</array>
</list>
</module>
<module cmlx:templateRef="preddelta">
<list cmlx:templateRef="predicted">
<scalar dataType="xsd:double" dictRef="g:predchange">-7.775138e-03</scalar>
</list>
</module>
</module>
</module>
</module>
<module dictRef="cc:calculation" id="calculation">
<module dictRef="cc:userDefinedModule" id="otherComponents">
<module cmlx:templateRef="l301">
<module cmlx:templateRef="l301.basis2">
<scalar dataType="xsd:string" dictRef="cc:diffuse">(5D, 7F)</scalar>
<module cmlx:templateRef="centers">
<array dataType="xsd:integer" dictRef="cc:atomcount" size="66">8 12 16 18 20 22 24 25 28 31 32 34 36 38 40 43 44 46 48 49 51 53 54 56 58 60 61 63 65 66 67 9 10 11 13 14 15 17 19 21 23 26 27 29 30 33 35 37 39 41 42 45 47 50 52 55 57 59 62 64 5 6 7 3 4 1</array>
<scalar dataType="xsd:string" dictRef="cc:basis">def2TZVP</scalar>
</module>
<module cmlx:templateRef="centers">
<array dataType="xsd:integer" dictRef="cc:atomcount" size="1">2</array>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">S</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">7</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="7">6.9507990945e+04 1.0426156880e+04 2.3732334061e+03 6.7156420071e+02 2.1841999790e+02 7.7572249714e+01 2.8888815277e+01</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="7">5.4314897497e-04 4.1990463961e-03 2.1592141679e-02 8.4598850094e-02 2.4757249724e-01 4.7016930228e-01 3.7436370716e-01</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">S</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">3</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="3">1.2710527185e+02 3.9339582961e+01 7.6740679989e+00</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="3">2.5182166603e-02 1.0786112456e-01 -2.7408821574e-01</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">S</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">2</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="2">3.8745627630e+00 1.8385832573e+00</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="2">1.3213875014e+00 6.8636955368e-01</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">S</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">1</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="1">5.0229057542e-01</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="1">1.0000000000e+00</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">S</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">1</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="1">1.7962723420e-01</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="1">1.0000000000e+00</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">S</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">1</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="1">6.1133095854e-02</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="1">1.0000000000e+00</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">P</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">5</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="5">6.6650423284e+02 1.5764241690e+02 5.0262520978e+01 1.8536078105e+01 7.2940532777e+00</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="5">2.3632663836e-03 1.8879300374e-02 8.7206341273e-02 2.5285612970e-01 4.3507154820e-01</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">P</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">1</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="1">2.9433248995e+00</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="1">3.5026513165e-01</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">P</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">1</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="1">1.0404970818e+00</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="1">1.0000000000e+00</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">P</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">1</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="1">3.8456415080e-01</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="1">1.0000000000e+00</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">P</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">1</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="1">1.3069642732e-01</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="1">1.0000000000e+00</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">P</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">1</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="1">3.5381580722e-02</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="1">1.0000000000e+00</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">D</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">2</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="2">4.6100000000e+00 1.0110000000e+00</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="2">2.0000000000e-01 1.0000000000e+00</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">D</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">1</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="1">3.3900000000e-01</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="1">1.0000000000e+00</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">D</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">1</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="1">9.9601358790e-02</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="1">1.0000000000e+00</array>
</list>
<list cmlx:templateRef="shell">
<scalar dataType="xsd:string" dictRef="x:itype">F</scalar>
<scalar dataType="xsd:integer" dictRef="x:ngauss">1</scalar>
<scalar dataType="xsd:double" dictRef="x:scale">1.00</scalar>
<array dataType="xsd:double" dictRef="x:exponent" size="1">7.0600000000e-01</array>
<array dataType="xsd:double" dictRef="x:coeficient" size="1">1.0000000000e+00</array>
</list>
</module>
<module cmlx:templateRef="pseudopot">
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">1</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">44</scalar>
<scalar dataType="xsd:integer" dictRef="x:valelectrons">16</scalar>
<module cmlx:templateRef="header">
<module cmlx:templateRef="params">
<scalar dataType="xsd:string" dictRef="cc:angmomentum">G and up</scalar>
<array dataType="xsd:integer" dictRef="g:powerofr" size="1">2</array>
<array dataType="xsd:double" dictRef="cc:basisexponent" size="1">1.0000000</array>
<array dataType="xsd:double" dictRef="cc:expcoeff" size="1">0.00000000</array>
<array dataType="xsd:double" dictRef="g:socoeff" size="1">0.00000000</array>
</module>
<module cmlx:templateRef="params">
<scalar dataType="xsd:string" dictRef="cc:angmomentum">S - G</scalar>
<array dataType="xsd:integer" dictRef="g:powerofr" size="2">2 2</array>
<array dataType="xsd:double" dictRef="cc:basisexponent" size="2">11.1052690 5.4147450</array>
<array dataType="xsd:double" dictRef="cc:expcoeff" size="2">209.82297100 30.65472600</array>
<array dataType="xsd:double" dictRef="g:socoeff" size="2">0.00000000 0.00000000</array>
</module>
<module cmlx:templateRef="params">
<scalar dataType="xsd:string" dictRef="cc:angmomentum">P - G</scalar>
<array dataType="xsd:integer" dictRef="g:powerofr" size="2">2 2</array>
<array dataType="xsd:double" dictRef="cc:basisexponent" size="2">9.7712710 5.0739910</array>
<array dataType="xsd:double" dictRef="cc:expcoeff" size="2">146.33618200 24.12787700</array>
<array dataType="xsd:double" dictRef="g:socoeff" size="2">0.00000000 0.00000000</array>
</module>
<module cmlx:templateRef="params">
<scalar dataType="xsd:string" dictRef="cc:angmomentum">D - G</scalar>
<array dataType="xsd:integer" dictRef="g:powerofr" size="2">2 2</array>
<array dataType="xsd:double" dictRef="cc:basisexponent" size="2">7.6714230 4.1365650</array>
<array dataType="xsd:double" dictRef="cc:expcoeff" size="2">67.51589700 9.87010400</array>
<array dataType="xsd:double" dictRef="g:socoeff" size="2">0.00000000 0.00000000</array>
</module>
<module cmlx:templateRef="params">
<scalar dataType="xsd:string" dictRef="cc:angmomentum">F - G</scalar>
<array dataType="xsd:integer" dictRef="g:powerofr" size="2">2 2</array>
<array dataType="xsd:double" dictRef="cc:basisexponent" size="2">11.3600000 5.6800000</array>
<array dataType="xsd:double" dictRef="cc:expcoeff" size="2">-28.34061600 -4.94462900</array>
<array dataType="xsd:double" dictRef="g:socoeff" size="2">0.00000000 0.00000000</array>
</module>
</module>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">2</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">17</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">3</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">16</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">4</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">8</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">5</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">7</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">6</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">7</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">7</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">7</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">8</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">9</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">10</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">11</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">12</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">13</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">14</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">15</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">16</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">17</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">18</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">19</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">20</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">21</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">22</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">23</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">24</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">25</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">26</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">27</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">28</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">29</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">30</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">31</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">32</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">33</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">34</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">35</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">36</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">37</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">38</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">39</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">40</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">41</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">42</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">43</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">44</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">45</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">46</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">47</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">48</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">49</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">50</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">51</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">52</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">53</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">54</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">55</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">56</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">57</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">58</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">59</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">60</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">61</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">62</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">63</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">64</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">65</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">66</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
<module cmlx:templateRef="atom">
<scalar dataType="xsd:integer" dictRef="cc:serial">67</scalar>
<scalar dataType="xsd:integer" dictRef="cc:elementType">6</scalar>
<scalar dataType="xsd:string" dictRef="cc:nopseudo">No pseudopotential on this center.</scalar>
</module>
</module>
<module cmlx:templateRef="ernie">
<scalar dataType="xsd:double" dictRef="g:thresh">0.10000e-02</scalar>
<scalar dataType="xsd:double" dictRef="g:tol">0.10000e-05</scalar>
<scalar dataType="xsd:string" dictRef="g:strict">F</scalar>
</module>
<scalar dataType="xsd:string" dictRef="g:misc">IExCor= 4639 DFT=T Ex+Corr=wB97XD ExCW=0 ScaHFX=  1.000000</scalar>
<scalar dataType="xsd:string" dictRef="g:misc">ScaDFX=  1.000000  1.000000  1.000000  1.000000 ScalE2=  1.000000  1.000000</scalar>
<scalar dataType="xsd:string" dictRef="g:misc">IRadAn=      5 IRanWt=     -1 IRanGd=            0 ICorTp=0 IEmpDi=121</scalar>
<module cmlx:templateRef="natoms">
<list cmlx:templateRef="natoms">
<list>
<scalar dataType="xsd:integer" dictRef="cc:natoms">67</scalar>
<scalar dataType="xsd:integer" dictRef="cc:nactiveatoms">67</scalar>
<scalar dataType="xsd:integer" dictRef="cc:uniqatoms">67</scalar>
<scalar dataType="xsd:double" dictRef="g:sfac">1.00e+00</scalar>
<scalar dataType="xsd:integer" dictRef="g:natfmm">60</scalar>
<scalar dataType="xsd:string" dictRef="g:big">T</scalar>
</list>
</list>
</module>
</module>
<module cmlx:templateRef="l301.dispersion">
<scalar dataType="xsd:string" dictRef="g:empdispersion">Grimme-D2</scalar>
<scalar dataType="xsd:double" dictRef="g:dispenergy" units="nonsi:hartree">-0.0721054859</scalar>
</module>
<module cmlx:templateRef="l301.pcm.standard">
<scalar dataType="xsd:string" dictRef="g:model">PCM</scalar>
<scalar dataType="xsd:string" dictRef="g:atomicradii">SMD-Coulomb.</scalar>
<scalar dataType="xsd:string" dictRef="g:polarcharges">Total charges</scalar>
<scalar dataType="xsd:string" dictRef="g:chargecompensation">None</scalar>
<scalar dataType="xsd:string" dictRef="g:solutionmethod">Matrix inversion</scalar>
<scalar dataType="xsd:string" dictRef="g:solvent">Ethanol</scalar>
<scalar dataType="xsd:double" dictRef="g:eps">24.852000</scalar>
<scalar dataType="xsd:double" dictRef="g:epsinfinity">1.852593</scalar>
</module>
</module>
<module cmlx:templateRef="l202" dictRef="cc:userDefinedModule">
<module cmlx:templateRef="l202.stoich">
<scalar cmlx:templateRef="stoich" dataType="xsd:string" dictRef="g:stoichiometry">C31H29ClN3ORuS(1+)</scalar>
<scalar dataType="xsd:string" dictRef="cc:pointgroup">C1</scalar>
<scalar dataType="xsd:integer" dictRef="cc:operatorcount">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:largestabelian">C1</scalar>
<scalar dataType="xsd:integer" dictRef="cc:operatorcount">1</scalar>
<scalar dataType="xsd:string" dictRef="cc:largestconciseabelian">C1</scalar>
<scalar dataType="xsd:integer" dictRef="cc:operatorcount">1</scalar>
</module>
<module cmlx:templateRef="l202.orient">
<molecule cmlx:templateRef="atom" formalCharge="1" id="mol.l202.orient" spinMultiplicity="1">
<atomArray>
<atom elementType="Ru" id="a1" x3="-2.430326" y3="-0.001463" z3="-0.171944">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="Cl" id="a2" x3="-3.147052" y3="1.553678" z3="-1.87563">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="S" id="a3" x3="-3.672296" y3="-1.746905" z3="-1.60892">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="O" id="a4" x3="-3.746866" y3="-3.177658" z3="-1.148802">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="N" id="a5" x3="-2.746154" y3="1.44747" z3="1.190947">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="N" id="a6" x3="-0.514464" y3="0.804787" z3="0.070026">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="N" id="a7" x3="-1.646359" y3="-1.433952" z3="1.130813">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a8" x3="-2.985424" y3="-1.706044" z3="-3.2868">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a9" x3="-3.599021" y3="-2.371431" z3="-3.910001">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a10" x3="-1.960598" y3="-2.092206" z3="-3.213162">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a11" x3="-2.992401" y3="-0.665382" z3="-3.637623">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a12" x3="-5.355356" y3="-1.158035" z3="-1.938605">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a13" x3="-5.81073" y3="-1.858583" z3="-2.652368">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a14" x3="-5.2995" y3="-0.129973" z3="-2.320427">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a15" x3="-5.886902" y3="-1.194182" z3="-0.978997">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a16" x3="-3.833208" y3="1.506037" z3="1.980823">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a17" x3="-4.516254" y3="0.656429" z3="1.920709">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a18" x3="-4.074094" y3="2.591717" z3="2.816389">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a19" x3="-4.970076" y3="2.602934" z3="3.438162">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a20" x3="-3.158622" y3="3.646065" z3="2.837898">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a21" x3="-3.321537" y3="4.511013" z3="3.483602">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a22" x3="-2.027498" y3="3.576209" z3="2.02143">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a23" x3="-1.287429" y3="4.378031" z3="2.012484">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a24" x3="-1.848951" y3="2.467228" z3="1.200883">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a25" x3="-0.70505" y3="2.275974" z3="0.248619">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a26" x3="-0.982082" y3="2.691318" z3="-0.730691">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a27" x3="0.21838" y3="2.76159" z3="0.598233">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a28" x3="0.085692" y3="0.238657" z3="1.320927">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a29" x3="1.181427" y3="0.287746" z3="1.275288">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a30" x3="-0.229705" y3="0.877681" z3="2.158732">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a31" x3="-0.404138" y3="-1.151257" z3="1.599007">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a32" x3="0.328987" y3="-2.071856" z3="2.341103">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a33" x3="1.335622" y3="-1.814942" z3="2.673997">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a34" x3="-0.238956" y3="-3.313721" z3="2.637117">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a35" x3="0.315209" y3="-4.050572" z3="3.22195">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a36" x3="-1.518789" y3="-3.595897" z3="2.160636">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a37" x3="-2.000106" y3="-4.555801" z3="2.352243">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a38" x3="-2.189267" y3="-2.638629" z3="1.403048">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a39" x3="-3.158458" y3="-2.852546" z3="0.949765">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a40" x3="0.287418" y3="0.477493" z3="-1.170099">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a41" x3="-0.256984" y3="0.954985" z3="-1.99445">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a42" x3="0.193833" y3="-0.607615" z3="-1.304422">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a43" x3="1.725382" y3="0.92408" z3="-1.136973">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a44" x3="2.029172" y3="2.234638" z3="-1.536776">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a45" x3="1.228134" y3="2.874762" z3="-1.914238">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a46" x3="3.325433" y3="2.733691" z3="-1.483346">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a47" x3="3.532458" y3="3.75661" z3="-1.805178">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a48" x3="4.383029" y3="1.928865" z3="-1.026108">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a49" x3="5.730999" y3="2.420528" z3="-0.947648">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a50" x3="5.924835" y3="3.452018" z3="-1.250337">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a51" x3="6.747587" y3="1.625101" z3="-0.509425">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a52" x3="7.76798" y3="2.011596" z3="-0.454849">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a53" x3="6.509867" y3="0.264502" z3="-0.113166">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a54" x3="7.545285" y3="-0.572331" z3="0.338884">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a55" x3="8.56176" y3="-0.175625" z3="0.392948">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a56" x3="7.289252" y3="-1.892175" z3="0.712392">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a57" x3="8.108211" y3="-2.526448" z3="1.057988">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a58" x3="5.99472" y3="-2.406666" z3="0.643289">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a59" x3="5.799005" y3="-3.442362" z3="0.931205">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a60" x3="4.92857" y3="-1.605289" z3="0.199057">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a61" x3="3.585807" y3="-2.100633" z3="0.103051">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a62" x3="3.394414" y3="-3.142296" z3="0.373187">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a63" x3="2.561188" y3="-1.308657" z3="-0.327366">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="H" id="a64" x3="1.563074" y3="-1.740756" z3="-0.393879">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a65" x3="2.770686" y3="0.066585" z3="-0.704696">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a66" x3="4.108602" y3="0.579373" z3="-0.63846">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
<atom elementType="C" id="a67" x3="5.178712" y3="-0.252306" z3="-0.184754">
<property dictRef="g:atomicType">
<scalar dataType="xsd:integer">0</scalar>
</property>
</atom>
</atomArray>
<bondArray/>
<formula concise="C31H29ClN3ORuS"/>
<property dictRef="cml:molmass">
<scalar units="unit:dalton">598.9392</scalar>
</property>
<formula convention="iupac:inchi" inline="InChI=1/31C.Cl.3N.O.Ru.S.29H">
<scalar dataType="xsd:integer" id="auxInfo">AuxInfo=1/0/N:8;12;16;18;20;22;24;25;28;31;32;34;36;38;40;43;44;46;48;49;51;53;54;56;58;60;61;63;65;66;67;2;5;6;7;4;1;3;9;10;11;13;14;15;17;19;21;23;26;27;29;30;33;35;37;39;41;42;45;47;50;52;55;57;59;62;64/rA:67nRuCl0S0O0N0N0N0C0H0H0H0C0H0H0H0C0H0C0H0C0H0C0H0C0C0H0H0C0H0H0C0C0H0C0H0C0H0C0H0C0H0H0C0C0H0C0H0C0C0H0C0H0C0C0H0C0H0C0H0C0C0H0C0H0C0C0C0/rB:;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;/rC:-2.4303,-.0015,-.1719;-3.1471,1.5537,-1.8756;-3.6723,-1.7469,-1.6089;-3.7469,-3.1777,-1.1488;-2.7462,1.4475,1.1909;-.5145,.8048,.07;-1.6464,-1.434,1.1308;-2.9854,-1.706,-3.2868;-3.599,-2.3714,-3.91;-1.9606,-2.0922,-3.2132;-2.9924,-.6654,-3.6376;-5.3554,-1.158,-1.9386;-5.8107,-1.8586,-2.6524;-5.2995,-.13,-2.3204;-5.8869,-1.1942,-.979;-3.8332,1.506,1.9808;-4.5163,.6564,1.9207;-4.0741,2.5917,2.8164;-4.9701,2.6029,3.4382;-3.1586,3.6461,2.8379;-3.3215,4.511,3.4836;-2.0275,3.5762,2.0214;-1.2874,4.378,2.0125;-1.849,2.4672,1.2009;-.705,2.276,.2486;-.9821,2.6913,-.7307;.2184,2.7616,.5982;.0857,.2387,1.3209;1.1814,.2877,1.2753;-.2297,.8777,2.1587;-.4041,-1.1513,1.599;.329,-2.0719,2.3411;1.3356,-1.8149,2.674;-.239,-3.3137,2.6371;.3152,-4.0506,3.222;-1.5188,-3.5959,2.1606;-2.0001,-4.5558,2.3522;-2.1893,-2.6386,1.403;-3.1585,-2.8525,.9498;.2874,.4775,-1.1701;-.257,.955,-1.9945;.1938,-.6076,-1.3044;1.7254,.9241,-1.137;2.0292,2.2346,-1.5368;1.2281,2.8748,-1.9142;3.3254,2.7337,-1.4833;3.5325,3.7566,-1.8052;4.383,1.9289,-1.0261;5.731,2.4205,-.9476;5.9248,3.452,-1.2503;6.7476,1.6251,-.5094;7.768,2.0116,-.4548;6.5099,.2645,-.1132;7.5453,-.5723,.3389;8.5618,-.1756,.3929;7.2893,-1.8922,.7124;8.1082,-2.5264,1.058;5.9947,-2.4067,.6433;5.799,-3.4424,.9312;4.9286,-1.6053,.1991;3.5858,-2.1006,.1031;3.3944,-3.1423,.3732;2.5612,-1.3087,-.3274;1.5631,-1.7408,-.3939;2.7707,.0666,-.7047;4.1086,.5794,-.6385;5.1787,-.2523,-.1848;</scalar>
</formula>
</molecule>
</module>
<module cmlx:templateRef="l202.rotconst">
<array cmlx:templateRef="rotconst" dataType="xsd:double" dictRef="cc:rotconst" size="3">0.1447459 0.0533598 0.0487758</array>
</module>
</module>
<module cmlx:templateRef="l302">
<module cmlx:templateRef="l302.basis2">
<list cmlx:templateRef="basis">
<scalar dataType="xsd:string" dictRef="g:basis">Precomputing XC quadrature grid using</scalar>
<scalar dataType="xsd:string" dictRef="g:basis">IXCGrd= 4 IRadAn=           5 IRanWt=          -1 IRanGd=           0 AccXCQ= 0.00D+00.</scalar>
<scalar dataType="xsd:string" dictRef="g:basis">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:basis">Generated NRdTot=       0 NPtTot=           0 NUsed=           0 NTot=          32</scalar>
<scalar dataType="xsd:string" dictRef="g:basis">NSgBfM=  1515  1515  1515  1515  1515 MxSgAt=    67 MxSgA2=    67.</scalar>
</list>
</module>
</module>
<module cmlx:templateRef="l303.basis">
<list cmlx:templateRef="l303">
<scalar dataType="xsd:integer" dictRef="g:dipdrv">1</scalar>
</list>
</module>
<module cmlx:templateRef="l401"/>
<module cmlx:templateRef="l502">
<scalar dataType="xsd:string" dictRef="g:l502.type">Closed</scalar>
<module cmlx:templateRef="l502.cycle">
<list cmlx:templateRef="cycle">
<list>
<scalar dataType="xsd:integer" dictRef="cc:cycle">1</scalar>
<scalar dataType="xsd:integer" dictRef="g:pass">1</scalar>
<scalar dataType="xsd:integer" dictRef="g:idiag">1</scalar>
</list>
</list>
<module cmlx:templateRef="l502.e">
<list cmlx:templateRef="l502.e">
<scalar dataType="xsd:double" dictRef="g:l502.e">-2385.80582991295</scalar>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2381.82812794472</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">3.977701968234</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2390.15194471126</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-8.323816766539</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.28599953047</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-1.134054819208</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.57118657135</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.285187040887</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.61970416101</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.048517589658</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63530797728</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.015603816270</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63862634939</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.003318372112</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63903037970</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000404030303</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63924492384</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000214544139</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63936506547</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000120141630</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63943389977</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000068834307</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63946810406</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000034204284</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63947940727</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000011303208</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63948310022</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000003692951</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63948390449</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000000804269</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63948422728</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000000322791</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63948439595</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000000168669</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63948446128</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000000065333</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63948447583</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000000014554</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63948447883</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000000002996</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63948447933</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000000000502</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63948447946</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">-0.000000000127</scalar>
</list>
</list>
</module>
<module cmlx:templateRef="l502.ediff">
<list cmlx:templateRef="l502.ediff">
<list>
<scalar dataType="xsd:double" dictRef="g:l502.e">-2391.63948447908</scalar>
<scalar dataType="xsd:double" dictRef="g:l502.deltae">0.000000000376</scalar>
</list>
</list>
</module>
</module>
<module cmlx:templateRef="l502.footer">
<list cmlx:templateRef="scfdone">
<list>
<scalar dataType="xsd:double" dictRef="g:rbhflyp" units="nonsi:hartree">-2391.63948448</scalar>
<scalar dataType="xsd:integer" dictRef="cc:ncycle">24</scalar>
</list>
</list>
<module cmlx:templateRef="scfdone">
<list cmlx:templateRef="scfdone">
<list>
<scalar dataType="xsd:double" dictRef="cc:kinener">2.321105123319e+03</scalar>
<scalar dataType="xsd:double" dictRef="cc:potener">-1.539222752779e+04</scalar>
<scalar dataType="xsd:double" dictRef="cc:eener">5.757991810435e+03</scalar>
</list>
</list>
</module>
</module>
<list cmlx:templateRef="l502">
<scalar dataType="xsd:string" dictRef="g:l502">Using DIIS extrapolation, IDIIS=  1040.</scalar>
<scalar dataType="xsd:string" dictRef="g:l502">NGot= 13421772800 LenX= 13416778911 LenY= 13414299861</scalar>
<scalar dataType="xsd:string" dictRef="g:l502">Requested convergence on RMS density matrix=1.00D-08 within 128 cycles.</scalar>
<scalar dataType="xsd:string" dictRef="g:l502">Requested convergence on MAX density matrix=1.00D-06.</scalar>
<scalar dataType="xsd:string" dictRef="g:l502">Requested convergence on             energy=1.00D-06.</scalar>
<scalar dataType="xsd:string" dictRef="g:l502">No special actions if energy rises.</scalar>
<scalar dataType="xsd:string" dictRef="g:l502">Fock matrices will be formed incrementally for  20 cycles.</scalar>
<scalar dataType="xsd:string" dictRef="g:l502"/>
</list>
</module>
<module cmlx:templateRef="l1101">
<list cmlx:templateRef="l1101">
<scalar dataType="xsd:string" dictRef="g:l1101">Using compressed storage, NAtomX=    67.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1101">Will process     68 centers per pass.</scalar>
</list>
</module>
<module cmlx:templateRef="l1102">
<list cmlx:templateRef="l1102">
<scalar dataType="xsd:string" dictRef="g:l1102">Symmetrizing basis deriv contribution to polar:</scalar>
<scalar dataType="xsd:string" dictRef="g:l1102">IMax=3 JMax=2 DiffMx= 0.00D+00</scalar>
</list>
</module>
<module cmlx:templateRef="l1002.minotr">
<list cmlx:templateRef="l1002">
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Minotr:  Closed shell wavefunction.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">IDoAtm=11111111111111111111111111111111111111111111111111</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">IDoAtm=11111111111111111</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">NEqPCM:  Using equilibrium solvation (IEInf=0, Eps=  24.8520, EpsInf=   1.8526)</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Direct CPHF calculation.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Differentiating once with respect to electric field.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">with respect to dipole field.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Differentiating once with respect to nuclear coordinates.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Requested convergence is 1.0D-08 RMS, and 1.0D-07 maximum.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Secondary convergence is 1.0D-12 RMS, and 1.0D-12 maximum.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">NewPWx=T KeepS1=F KeepF1=F KeepIn=T MapXYZ=F SortEE=F KeepMc=T.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">20611 words used for storage of precomputed grid.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Two-electron integrals replicated using symmetry.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">MDV=   13421772800 using IRadAn=       1.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Solving linear equations simultaneously, MaxMat=      72.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">FoF2E skips out because all densities are zero.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">CalDSu exits because no D1Ps are significant.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">FoFJK:  IHMeth= 1 ICntrl=       0 DoSepK=T KAlg= 0 I1Cent=           0 FoldK=F</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">IRaf=         1 NMat=      72 IRICut=       1 DoRegI=T DoRafI=F ISym2E= 2 IDoP0=3 IntGTp=3.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Defaulting to unpruned grid for atomic number  44.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">There are   204 degrees of freedom in the 1st order CPHF.  IDoFFX=6 NUNeed=     3.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">204 vectors produced by pass  0 Test12= 1.80D-13 1.00D-09 XBig12= 3.35D+02 7.40D+00.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">AX will form    72 AO Fock derivatives at one time.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">202 vectors produced by pass  1 Test12= 1.80D-13 1.00D-09 XBig12= 2.50D+01 5.21D-01.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">201 vectors produced by pass  2 Test12= 1.80D-13 1.00D-09 XBig12= 1.19D+00 1.50D-01.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">201 vectors produced by pass  3 Test12= 1.80D-13 1.00D-09 XBig12= 2.19D-02 1.18D-02.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">201 vectors produced by pass  4 Test12= 1.80D-13 1.00D-09 XBig12= 2.88D-04 1.27D-03.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">201 vectors produced by pass  5 Test12= 1.80D-13 1.00D-09 XBig12= 3.57D-06 1.97D-04.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">201 vectors produced by pass  6 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-08 1.26D-05.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">126 vectors produced by pass  7 Test12= 1.80D-13 1.00D-09 XBig12= 2.82D-10 1.20D-06.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">73 vectors produced by pass  8 Test12= 1.80D-13 1.00D-09 XBig12= 2.04D-12 1.06D-07.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">52 vectors produced by pass  9 Test12= 1.80D-13 1.00D-09 XBig12= 3.27D-14 8.82D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">48 vectors produced by pass 10 Test12= 1.80D-13 1.00D-09 XBig12= 1.62D-14 4.73D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">39 vectors produced by pass 11 Test12= 1.80D-13 1.00D-09 XBig12= 1.00D-14 3.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">39 vectors produced by pass 12 Test12= 1.80D-13 1.00D-09 XBig12= 2.10D-14 4.99D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">39 vectors produced by pass 13 Test12= 1.80D-13 1.00D-09 XBig12= 2.51D-14 7.07D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">39 vectors produced by pass 14 Test12= 1.80D-13 1.00D-09 XBig12= 3.73D-14 6.68D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">37 vectors produced by pass 15 Test12= 1.80D-13 1.00D-09 XBig12= 1.91D-14 3.93D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">31 vectors produced by pass 16 Test12= 1.80D-13 1.00D-09 XBig12= 1.35D-14 4.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">30 vectors produced by pass 17 Test12= 1.80D-13 1.00D-09 XBig12= 1.32D-14 3.55D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">29 vectors produced by pass 18 Test12= 1.80D-13 1.00D-09 XBig12= 1.46D-14 4.11D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">29 vectors produced by pass 19 Test12= 1.80D-13 1.00D-09 XBig12= 1.68D-14 4.05D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">22 vectors produced by pass 20 Test12= 1.80D-13 1.00D-09 XBig12= 1.20D-14 3.70D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">22 vectors produced by pass 21 Test12= 1.80D-13 1.00D-09 XBig12= 1.65D-14 5.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">21 vectors produced by pass 22 Test12= 1.80D-13 1.00D-09 XBig12= 1.37D-14 3.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">19 vectors produced by pass 23 Test12= 1.80D-13 1.00D-09 XBig12= 1.03D-14 3.62D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">19 vectors produced by pass 24 Test12= 1.80D-13 1.00D-09 XBig12= 1.34D-14 3.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">19 vectors produced by pass 25 Test12= 1.80D-13 1.00D-09 XBig12= 1.29D-14 3.60D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">17 vectors produced by pass 26 Test12= 1.80D-13 1.00D-09 XBig12= 8.72D-15 2.67D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">17 vectors produced by pass 27 Test12= 1.80D-13 1.00D-09 XBig12= 1.42D-14 3.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">17 vectors produced by pass 28 Test12= 1.80D-13 1.00D-09 XBig12= 1.77D-14 3.69D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">17 vectors produced by pass 29 Test12= 1.80D-13 1.00D-09 XBig12= 1.68D-14 3.33D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">17 vectors produced by pass 30 Test12= 1.80D-13 1.00D-09 XBig12= 1.12D-14 2.77D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">17 vectors produced by pass 31 Test12= 1.80D-13 1.00D-09 XBig12= 1.29D-14 3.07D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">16 vectors produced by pass 32 Test12= 1.80D-13 1.00D-09 XBig12= 1.08D-14 2.92D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">16 vectors produced by pass 33 Test12= 1.80D-13 1.00D-09 XBig12= 1.24D-14 3.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">16 vectors produced by pass 34 Test12= 1.80D-13 1.00D-09 XBig12= 1.33D-14 2.79D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">16 vectors produced by pass 35 Test12= 1.80D-13 1.00D-09 XBig12= 1.10D-14 3.13D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">16 vectors produced by pass 36 Test12= 1.80D-13 1.00D-09 XBig12= 1.19D-14 2.90D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">16 vectors produced by pass 37 Test12= 1.80D-13 1.00D-09 XBig12= 1.62D-14 3.12D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">16 vectors produced by pass 38 Test12= 1.80D-13 1.00D-09 XBig12= 1.26D-14 3.07D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">16 vectors produced by pass 39 Test12= 1.80D-13 1.00D-09 XBig12= 1.27D-14 3.42D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">16 vectors produced by pass 40 Test12= 1.80D-13 1.00D-09 XBig12= 1.01D-14 2.91D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">16 vectors produced by pass 41 Test12= 1.80D-13 1.00D-09 XBig12= 9.24D-15 2.58D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">16 vectors produced by pass 42 Test12= 1.80D-13 1.00D-09 XBig12= 1.09D-14 2.44D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 43 Test12= 1.80D-13 1.00D-09 XBig12= 7.50D-15 2.57D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 44 Test12= 1.80D-13 1.00D-09 XBig12= 9.22D-15 2.51D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 45 Test12= 1.80D-13 1.00D-09 XBig12= 1.26D-14 2.94D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 46 Test12= 1.80D-13 1.00D-09 XBig12= 7.49D-15 2.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 47 Test12= 1.80D-13 1.00D-09 XBig12= 7.85D-15 2.68D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 48 Test12= 1.80D-13 1.00D-09 XBig12= 1.11D-14 2.82D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 49 Test12= 1.80D-13 1.00D-09 XBig12= 8.63D-15 2.77D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 50 Test12= 1.80D-13 1.00D-09 XBig12= 1.05D-14 2.81D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 51 Test12= 1.80D-13 1.00D-09 XBig12= 7.01D-15 1.95D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 52 Test12= 1.80D-13 1.00D-09 XBig12= 1.06D-14 2.72D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 53 Test12= 1.80D-13 1.00D-09 XBig12= 7.49D-15 2.41D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 54 Test12= 1.80D-13 1.00D-09 XBig12= 9.81D-15 3.00D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 55 Test12= 1.80D-13 1.00D-09 XBig12= 1.06D-14 2.65D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 56 Test12= 1.80D-13 1.00D-09 XBig12= 9.16D-15 2.59D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">13 vectors produced by pass 57 Test12= 1.80D-13 1.00D-09 XBig12= 9.65D-15 2.64D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">12 vectors produced by pass 58 Test12= 1.80D-13 1.00D-09 XBig12= 8.21D-15 2.55D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">12 vectors produced by pass 59 Test12= 1.80D-13 1.00D-09 XBig12= 9.62D-15 2.96D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">12 vectors produced by pass 60 Test12= 1.80D-13 1.00D-09 XBig12= 1.32D-14 3.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">12 vectors produced by pass 61 Test12= 1.80D-13 1.00D-09 XBig12= 9.36D-15 2.79D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">12 vectors produced by pass 62 Test12= 1.80D-13 1.00D-09 XBig12= 1.18D-14 2.64D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">12 vectors produced by pass 63 Test12= 1.80D-13 1.00D-09 XBig12= 7.75D-15 2.09D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">12 vectors produced by pass 64 Test12= 1.80D-13 1.00D-09 XBig12= 9.64D-15 2.76D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">12 vectors produced by pass 65 Test12= 1.80D-13 1.00D-09 XBig12= 1.25D-14 3.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 66 Test12= 1.80D-13 1.00D-09 XBig12= 6.53D-15 1.92D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 67 Test12= 1.80D-13 1.00D-09 XBig12= 6.71D-15 2.06D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 68 Test12= 1.80D-13 1.00D-09 XBig12= 8.37D-15 2.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 69 Test12= 1.80D-13 1.00D-09 XBig12= 9.67D-15 2.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 70 Test12= 1.80D-13 1.00D-09 XBig12= 9.24D-15 2.58D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 71 Test12= 1.80D-13 1.00D-09 XBig12= 1.07D-14 2.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 72 Test12= 1.80D-13 1.00D-09 XBig12= 6.48D-15 1.76D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 73 Test12= 1.80D-13 1.00D-09 XBig12= 7.39D-15 2.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 74 Test12= 1.80D-13 1.00D-09 XBig12= 1.18D-14 2.49D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 75 Test12= 1.80D-13 1.00D-09 XBig12= 6.65D-15 2.09D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 76 Test12= 1.80D-13 1.00D-09 XBig12= 7.90D-15 2.21D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 77 Test12= 1.80D-13 1.00D-09 XBig12= 8.75D-15 2.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">11 vectors produced by pass 78 Test12= 1.80D-13 1.00D-09 XBig12= 8.51D-15 2.50D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 79 Test12= 1.80D-13 1.00D-09 XBig12= 6.22D-15 2.03D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 80 Test12= 1.80D-13 1.00D-09 XBig12= 7.13D-15 2.14D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 81 Test12= 1.80D-13 1.00D-09 XBig12= 7.46D-15 2.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 82 Test12= 1.80D-13 1.00D-09 XBig12= 7.28D-15 2.06D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 83 Test12= 1.80D-13 1.00D-09 XBig12= 6.13D-15 1.86D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 84 Test12= 1.80D-13 1.00D-09 XBig12= 7.20D-15 2.12D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 85 Test12= 1.80D-13 1.00D-09 XBig12= 9.13D-15 2.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 86 Test12= 1.80D-13 1.00D-09 XBig12= 6.81D-15 1.88D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 87 Test12= 1.80D-13 1.00D-09 XBig12= 6.68D-15 2.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 88 Test12= 1.80D-13 1.00D-09 XBig12= 6.13D-15 1.83D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 89 Test12= 1.80D-13 1.00D-09 XBig12= 7.41D-15 2.11D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 90 Test12= 1.80D-13 1.00D-09 XBig12= 8.04D-15 2.21D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 91 Test12= 1.80D-13 1.00D-09 XBig12= 4.71D-15 2.06D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 92 Test12= 1.80D-13 1.00D-09 XBig12= 6.80D-15 1.99D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 93 Test12= 1.80D-13 1.00D-09 XBig12= 9.59D-15 2.21D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 94 Test12= 1.80D-13 1.00D-09 XBig12= 6.75D-15 2.04D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 95 Test12= 1.80D-13 1.00D-09 XBig12= 9.27D-15 2.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 96 Test12= 1.80D-13 1.00D-09 XBig12= 5.84D-15 1.92D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 97 Test12= 1.80D-13 1.00D-09 XBig12= 6.75D-15 2.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">10 vectors produced by pass 98 Test12= 1.80D-13 1.00D-09 XBig12= 6.08D-15 2.00D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass 99 Test12= 1.80D-13 1.00D-09 XBig12= 4.40D-15 1.78D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass100 Test12= 1.80D-13 1.00D-09 XBig12= 5.93D-15 1.93D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass101 Test12= 1.80D-13 1.00D-09 XBig12= 4.38D-15 1.60D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass102 Test12= 1.80D-13 1.00D-09 XBig12= 4.33D-15 1.68D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass103 Test12= 1.80D-13 1.00D-09 XBig12= 6.30D-15 1.93D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass104 Test12= 1.80D-13 1.00D-09 XBig12= 5.06D-15 1.63D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass105 Test12= 1.80D-13 1.00D-09 XBig12= 6.40D-15 2.13D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass106 Test12= 1.80D-13 1.00D-09 XBig12= 5.38D-15 1.78D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass107 Test12= 1.80D-13 1.00D-09 XBig12= 5.59D-15 2.03D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass108 Test12= 1.80D-13 1.00D-09 XBig12= 4.68D-15 1.79D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass109 Test12= 1.80D-13 1.00D-09 XBig12= 5.12D-15 1.88D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass110 Test12= 1.80D-13 1.00D-09 XBig12= 7.25D-15 2.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass111 Test12= 1.80D-13 1.00D-09 XBig12= 5.56D-15 1.70D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass112 Test12= 1.80D-13 1.00D-09 XBig12= 5.65D-15 1.94D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass113 Test12= 1.80D-13 1.00D-09 XBig12= 7.25D-15 2.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass114 Test12= 1.80D-13 1.00D-09 XBig12= 5.99D-15 1.69D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass115 Test12= 1.80D-13 1.00D-09 XBig12= 6.42D-15 1.84D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass116 Test12= 1.80D-13 1.00D-09 XBig12= 4.72D-15 1.75D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass117 Test12= 1.80D-13 1.00D-09 XBig12= 6.15D-15 2.04D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass118 Test12= 1.80D-13 1.00D-09 XBig12= 8.50D-15 2.12D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass119 Test12= 1.80D-13 1.00D-09 XBig12= 6.47D-15 1.86D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass120 Test12= 1.80D-13 1.00D-09 XBig12= 6.07D-15 1.83D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass121 Test12= 1.80D-13 1.00D-09 XBig12= 6.73D-15 2.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass122 Test12= 1.80D-13 1.00D-09 XBig12= 7.80D-15 2.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass123 Test12= 1.80D-13 1.00D-09 XBig12= 5.39D-15 1.81D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass124 Test12= 1.80D-13 1.00D-09 XBig12= 5.42D-15 2.13D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass125 Test12= 1.80D-13 1.00D-09 XBig12= 6.22D-15 1.85D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass126 Test12= 1.80D-13 1.00D-09 XBig12= 5.18D-15 1.76D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass127 Test12= 1.80D-13 1.00D-09 XBig12= 5.34D-15 1.91D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass128 Test12= 1.80D-13 1.00D-09 XBig12= 7.20D-15 2.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass129 Test12= 1.80D-13 1.00D-09 XBig12= 6.40D-15 2.01D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass130 Test12= 1.80D-13 1.00D-09 XBig12= 4.72D-15 1.67D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass131 Test12= 1.80D-13 1.00D-09 XBig12= 5.50D-15 1.98D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass132 Test12= 1.80D-13 1.00D-09 XBig12= 7.53D-15 2.14D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass133 Test12= 1.80D-13 1.00D-09 XBig12= 4.24D-15 1.51D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass134 Test12= 1.80D-13 1.00D-09 XBig12= 7.33D-15 2.02D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass135 Test12= 1.80D-13 1.00D-09 XBig12= 5.04D-15 1.60D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass136 Test12= 1.80D-13 1.00D-09 XBig12= 4.83D-15 1.72D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass137 Test12= 1.80D-13 1.00D-09 XBig12= 5.87D-15 2.11D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass138 Test12= 1.80D-13 1.00D-09 XBig12= 5.87D-15 1.77D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass139 Test12= 1.80D-13 1.00D-09 XBig12= 4.55D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">9 vectors produced by pass140 Test12= 1.80D-13 1.00D-09 XBig12= 6.58D-15 2.15D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass141 Test12= 1.80D-13 1.00D-09 XBig12= 4.47D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass142 Test12= 1.80D-13 1.00D-09 XBig12= 6.23D-15 2.07D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass143 Test12= 1.80D-13 1.00D-09 XBig12= 4.78D-15 1.70D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass144 Test12= 1.80D-13 1.00D-09 XBig12= 4.83D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass145 Test12= 1.80D-13 1.00D-09 XBig12= 7.31D-15 1.92D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass146 Test12= 1.80D-13 1.00D-09 XBig12= 4.30D-15 1.68D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass147 Test12= 1.80D-13 1.00D-09 XBig12= 5.82D-15 2.00D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass148 Test12= 1.80D-13 1.00D-09 XBig12= 7.63D-15 2.03D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass149 Test12= 1.80D-13 1.00D-09 XBig12= 5.38D-15 1.79D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass150 Test12= 1.80D-13 1.00D-09 XBig12= 4.94D-15 1.58D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass151 Test12= 1.80D-13 1.00D-09 XBig12= 5.09D-15 1.80D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass152 Test12= 1.80D-13 1.00D-09 XBig12= 5.67D-15 1.75D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass153 Test12= 1.80D-13 1.00D-09 XBig12= 4.74D-15 1.66D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">7 vectors produced by pass154 Test12= 1.80D-13 1.00D-09 XBig12= 6.08D-15 1.70D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass155 Test12= 1.80D-13 1.00D-09 XBig12= 4.52D-15 1.51D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass156 Test12= 1.80D-13 1.00D-09 XBig12= 7.06D-15 1.99D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass157 Test12= 1.80D-13 1.00D-09 XBig12= 4.54D-15 1.58D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass158 Test12= 1.80D-13 1.00D-09 XBig12= 6.89D-15 1.92D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass159 Test12= 1.80D-13 1.00D-09 XBig12= 4.85D-15 1.91D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass160 Test12= 1.80D-13 1.00D-09 XBig12= 5.13D-15 1.73D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass161 Test12= 1.80D-13 1.00D-09 XBig12= 4.67D-15 1.66D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass162 Test12= 1.80D-13 1.00D-09 XBig12= 4.81D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass163 Test12= 1.80D-13 1.00D-09 XBig12= 3.98D-15 1.57D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass164 Test12= 1.80D-13 1.00D-09 XBig12= 4.25D-15 1.63D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass165 Test12= 1.80D-13 1.00D-09 XBig12= 5.33D-15 1.63D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass166 Test12= 1.80D-13 1.00D-09 XBig12= 5.95D-15 1.70D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass167 Test12= 1.80D-13 1.00D-09 XBig12= 4.38D-15 1.90D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass168 Test12= 1.80D-13 1.00D-09 XBig12= 5.00D-15 2.01D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass169 Test12= 1.80D-13 1.00D-09 XBig12= 4.42D-15 1.48D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass170 Test12= 1.80D-13 1.00D-09 XBig12= 5.18D-15 1.67D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass171 Test12= 1.80D-13 1.00D-09 XBig12= 5.59D-15 1.69D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass172 Test12= 1.80D-13 1.00D-09 XBig12= 6.16D-15 1.78D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass173 Test12= 1.80D-13 1.00D-09 XBig12= 4.71D-15 1.54D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass174 Test12= 1.80D-13 1.00D-09 XBig12= 4.55D-15 1.50D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass175 Test12= 1.80D-13 1.00D-09 XBig12= 4.93D-15 1.63D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass176 Test12= 1.80D-13 1.00D-09 XBig12= 4.27D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass177 Test12= 1.80D-13 1.00D-09 XBig12= 4.99D-15 1.65D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass178 Test12= 1.80D-13 1.00D-09 XBig12= 6.87D-15 2.05D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass179 Test12= 1.80D-13 1.00D-09 XBig12= 5.29D-15 1.62D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass180 Test12= 1.80D-13 1.00D-09 XBig12= 6.74D-15 1.97D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass181 Test12= 1.80D-13 1.00D-09 XBig12= 5.86D-15 1.73D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass182 Test12= 1.80D-13 1.00D-09 XBig12= 5.77D-15 2.09D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass183 Test12= 1.80D-13 1.00D-09 XBig12= 4.91D-15 1.78D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass184 Test12= 1.80D-13 1.00D-09 XBig12= 4.92D-15 1.49D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass185 Test12= 1.80D-13 1.00D-09 XBig12= 3.94D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass186 Test12= 1.80D-13 1.00D-09 XBig12= 5.84D-15 1.81D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass187 Test12= 1.80D-13 1.00D-09 XBig12= 3.76D-15 1.48D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass188 Test12= 1.80D-13 1.00D-09 XBig12= 3.95D-15 1.45D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass189 Test12= 1.80D-13 1.00D-09 XBig12= 5.10D-15 1.67D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass190 Test12= 1.80D-13 1.00D-09 XBig12= 3.46D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass191 Test12= 1.80D-13 1.00D-09 XBig12= 3.88D-15 1.47D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass192 Test12= 1.80D-13 1.00D-09 XBig12= 4.14D-15 1.50D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass193 Test12= 1.80D-13 1.00D-09 XBig12= 4.59D-15 1.71D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass194 Test12= 1.80D-13 1.00D-09 XBig12= 3.19D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass195 Test12= 1.80D-13 1.00D-09 XBig12= 5.21D-15 1.62D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass196 Test12= 1.80D-13 1.00D-09 XBig12= 3.68D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass197 Test12= 1.80D-13 1.00D-09 XBig12= 5.01D-15 1.70D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass198 Test12= 1.80D-13 1.00D-09 XBig12= 4.45D-15 1.70D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass199 Test12= 1.80D-13 1.00D-09 XBig12= 4.75D-15 1.70D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass200 Test12= 1.80D-13 1.00D-09 XBig12= 5.22D-15 1.99D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass201 Test12= 1.80D-13 1.00D-09 XBig12= 3.69D-15 1.43D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass202 Test12= 1.80D-13 1.00D-09 XBig12= 4.28D-15 1.62D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass203 Test12= 1.80D-13 1.00D-09 XBig12= 4.95D-15 1.62D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass204 Test12= 1.80D-13 1.00D-09 XBig12= 4.82D-15 1.64D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass205 Test12= 1.80D-13 1.00D-09 XBig12= 3.59D-15 1.56D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass206 Test12= 1.80D-13 1.00D-09 XBig12= 4.47D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">6 vectors produced by pass207 Test12= 1.80D-13 1.00D-09 XBig12= 4.20D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass208 Test12= 1.80D-13 1.00D-09 XBig12= 3.09D-15 1.57D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass209 Test12= 1.80D-13 1.00D-09 XBig12= 4.87D-15 1.89D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass210 Test12= 1.80D-13 1.00D-09 XBig12= 5.21D-15 1.77D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass211 Test12= 1.80D-13 1.00D-09 XBig12= 4.59D-15 1.47D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass212 Test12= 1.80D-13 1.00D-09 XBig12= 4.53D-15 1.54D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass213 Test12= 1.80D-13 1.00D-09 XBig12= 3.95D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass214 Test12= 1.80D-13 1.00D-09 XBig12= 4.77D-15 1.76D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass215 Test12= 1.80D-13 1.00D-09 XBig12= 3.24D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass216 Test12= 1.80D-13 1.00D-09 XBig12= 3.57D-15 1.59D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass217 Test12= 1.80D-13 1.00D-09 XBig12= 4.09D-15 1.57D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass218 Test12= 1.80D-13 1.00D-09 XBig12= 4.43D-15 1.64D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass219 Test12= 1.80D-13 1.00D-09 XBig12= 4.83D-15 1.73D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass220 Test12= 1.80D-13 1.00D-09 XBig12= 5.33D-15 1.68D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass221 Test12= 1.80D-13 1.00D-09 XBig12= 4.40D-15 1.48D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass222 Test12= 1.80D-13 1.00D-09 XBig12= 4.72D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass223 Test12= 1.80D-13 1.00D-09 XBig12= 4.53D-15 1.53D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass224 Test12= 1.80D-13 1.00D-09 XBig12= 5.89D-15 1.80D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass225 Test12= 1.80D-13 1.00D-09 XBig12= 6.75D-15 1.83D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass226 Test12= 1.80D-13 1.00D-09 XBig12= 4.33D-15 1.41D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">5 vectors produced by pass227 Test12= 1.80D-13 1.00D-09 XBig12= 5.29D-15 1.88D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">3 vectors produced by pass228 Test12= 1.80D-13 1.00D-09 XBig12= 3.43D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">3 vectors produced by pass229 Test12= 1.80D-13 1.00D-09 XBig12= 3.44D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">3 vectors produced by pass230 Test12= 1.80D-13 1.00D-09 XBig12= 3.64D-15 1.64D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">3 vectors produced by pass231 Test12= 1.80D-13 1.00D-09 XBig12= 2.82D-15 1.12D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">2 vectors produced by pass232 Test12= 1.80D-13 1.00D-09 XBig12= 2.94D-15 1.08D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">2 vectors produced by pass233 Test12= 1.80D-13 1.00D-09 XBig12= 2.71D-15 1.14D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">2 vectors produced by pass234 Test12= 1.80D-13 1.00D-09 XBig12= 2.97D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">2 vectors produced by pass235 Test12= 1.80D-13 1.00D-09 XBig12= 2.81D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">2 vectors produced by pass236 Test12= 1.80D-13 1.00D-09 XBig12= 3.00D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">2 vectors produced by pass237 Test12= 1.80D-13 1.00D-09 XBig12= 2.97D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">2 vectors produced by pass238 Test12= 1.80D-13 1.00D-09 XBig12= 2.97D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">2 vectors produced by pass239 Test12= 1.80D-13 1.00D-09 XBig12= 2.90D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass240 Test12= 1.80D-13 1.00D-09 XBig12= 2.97D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass241 Test12= 1.80D-13 1.00D-09 XBig12= 4.06D-15 1.56D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass242 Test12= 1.80D-13 1.00D-09 XBig12= 4.37D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass243 Test12= 1.80D-13 1.00D-09 XBig12= 3.94D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass244 Test12= 1.80D-13 1.00D-09 XBig12= 4.08D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass245 Test12= 1.80D-13 1.00D-09 XBig12= 4.33D-15 1.41D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass246 Test12= 1.80D-13 1.00D-09 XBig12= 4.22D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass247 Test12= 1.80D-13 1.00D-09 XBig12= 3.99D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass248 Test12= 1.80D-13 1.00D-09 XBig12= 3.97D-15 1.56D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass249 Test12= 1.80D-13 1.00D-09 XBig12= 4.30D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass250 Test12= 1.80D-13 1.00D-09 XBig12= 4.25D-15 1.54D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass251 Test12= 1.80D-13 1.00D-09 XBig12= 4.10D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass252 Test12= 1.80D-13 1.00D-09 XBig12= 4.00D-15 1.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass253 Test12= 1.80D-13 1.00D-09 XBig12= 3.89D-15 1.43D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass254 Test12= 1.80D-13 1.00D-09 XBig12= 4.09D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass255 Test12= 1.80D-13 1.00D-09 XBig12= 4.11D-15 1.46D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass256 Test12= 1.80D-13 1.00D-09 XBig12= 4.02D-15 1.60D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass257 Test12= 1.80D-13 1.00D-09 XBig12= 3.80D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass258 Test12= 1.80D-13 1.00D-09 XBig12= 4.16D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass259 Test12= 1.80D-13 1.00D-09 XBig12= 4.00D-15 1.48D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass260 Test12= 1.80D-13 1.00D-09 XBig12= 4.02D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass261 Test12= 1.80D-13 1.00D-09 XBig12= 4.03D-15 1.42D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass262 Test12= 1.80D-13 1.00D-09 XBig12= 4.11D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass263 Test12= 1.80D-13 1.00D-09 XBig12= 4.11D-15 1.47D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass264 Test12= 1.80D-13 1.00D-09 XBig12= 4.02D-15 2.03D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass265 Test12= 1.80D-13 1.00D-09 XBig12= 4.04D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass266 Test12= 1.80D-13 1.00D-09 XBig12= 4.28D-15 1.39D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass267 Test12= 1.80D-13 1.00D-09 XBig12= 4.35D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass268 Test12= 1.80D-13 1.00D-09 XBig12= 4.06D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass269 Test12= 1.80D-13 1.00D-09 XBig12= 4.25D-15 1.57D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass270 Test12= 1.80D-13 1.00D-09 XBig12= 4.07D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass271 Test12= 1.80D-13 1.00D-09 XBig12= 3.90D-15 1.55D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass272 Test12= 1.80D-13 1.00D-09 XBig12= 4.32D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass273 Test12= 1.80D-13 1.00D-09 XBig12= 3.91D-15 1.46D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass274 Test12= 1.80D-13 1.00D-09 XBig12= 4.05D-15 1.46D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass275 Test12= 1.80D-13 1.00D-09 XBig12= 4.02D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass276 Test12= 1.80D-13 1.00D-09 XBig12= 4.12D-15 1.57D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass277 Test12= 1.80D-13 1.00D-09 XBig12= 4.03D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass278 Test12= 1.80D-13 1.00D-09 XBig12= 4.25D-15 1.51D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass279 Test12= 1.80D-13 1.00D-09 XBig12= 4.14D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass280 Test12= 1.80D-13 1.00D-09 XBig12= 4.08D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass281 Test12= 1.80D-13 1.00D-09 XBig12= 4.14D-15 1.83D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass282 Test12= 1.80D-13 1.00D-09 XBig12= 3.96D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass283 Test12= 1.80D-13 1.00D-09 XBig12= 4.05D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass284 Test12= 1.80D-13 1.00D-09 XBig12= 3.98D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass285 Test12= 1.80D-13 1.00D-09 XBig12= 4.16D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass286 Test12= 1.80D-13 1.00D-09 XBig12= 4.02D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass287 Test12= 1.80D-13 1.00D-09 XBig12= 3.91D-15 1.49D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass288 Test12= 1.80D-13 1.00D-09 XBig12= 3.87D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass289 Test12= 1.80D-13 1.00D-09 XBig12= 3.85D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass290 Test12= 1.80D-13 1.00D-09 XBig12= 3.78D-15 1.47D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass291 Test12= 1.80D-13 1.00D-09 XBig12= 4.19D-15 1.46D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass292 Test12= 1.80D-13 1.00D-09 XBig12= 4.08D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass293 Test12= 1.80D-13 1.00D-09 XBig12= 4.24D-15 1.59D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass294 Test12= 1.80D-13 1.00D-09 XBig12= 4.05D-15 1.53D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass295 Test12= 1.80D-13 1.00D-09 XBig12= 3.69D-15 1.53D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass296 Test12= 1.80D-13 1.00D-09 XBig12= 4.22D-15 1.41D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass297 Test12= 1.80D-13 1.00D-09 XBig12= 4.16D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass298 Test12= 1.80D-13 1.00D-09 XBig12= 4.01D-15 1.56D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass299 Test12= 1.80D-13 1.00D-09 XBig12= 3.98D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass300 Test12= 1.80D-13 1.00D-09 XBig12= 3.81D-15 1.61D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass301 Test12= 1.80D-13 1.00D-09 XBig12= 4.18D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass302 Test12= 1.80D-13 1.00D-09 XBig12= 3.94D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass303 Test12= 1.80D-13 1.00D-09 XBig12= 4.00D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass304 Test12= 1.80D-13 1.00D-09 XBig12= 4.18D-15 1.33D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass305 Test12= 1.80D-13 1.00D-09 XBig12= 4.01D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass306 Test12= 1.80D-13 1.00D-09 XBig12= 4.13D-15 1.42D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass307 Test12= 1.80D-13 1.00D-09 XBig12= 4.08D-15 1.60D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass308 Test12= 1.80D-13 1.00D-09 XBig12= 3.84D-15 1.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass309 Test12= 1.80D-13 1.00D-09 XBig12= 4.00D-15 1.57D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass310 Test12= 1.80D-13 1.00D-09 XBig12= 4.26D-15 1.47D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass311 Test12= 1.80D-13 1.00D-09 XBig12= 4.07D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass312 Test12= 1.80D-13 1.00D-09 XBig12= 4.04D-15 1.60D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass313 Test12= 1.80D-13 1.00D-09 XBig12= 4.20D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass314 Test12= 1.80D-13 1.00D-09 XBig12= 3.97D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass315 Test12= 1.80D-13 1.00D-09 XBig12= 3.68D-15 1.39D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass316 Test12= 1.80D-13 1.00D-09 XBig12= 4.12D-15 1.46D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass317 Test12= 1.80D-13 1.00D-09 XBig12= 4.20D-15 1.43D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass318 Test12= 1.80D-13 1.00D-09 XBig12= 3.88D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass319 Test12= 1.80D-13 1.00D-09 XBig12= 3.99D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass320 Test12= 1.80D-13 1.00D-09 XBig12= 3.91D-15 1.46D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass321 Test12= 1.80D-13 1.00D-09 XBig12= 3.90D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass322 Test12= 1.80D-13 1.00D-09 XBig12= 4.01D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass323 Test12= 1.80D-13 1.00D-09 XBig12= 3.95D-15 1.47D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass324 Test12= 1.80D-13 1.00D-09 XBig12= 3.70D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass325 Test12= 1.80D-13 1.00D-09 XBig12= 4.18D-15 1.39D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass326 Test12= 1.80D-13 1.00D-09 XBig12= 3.92D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass327 Test12= 1.80D-13 1.00D-09 XBig12= 3.98D-15 1.53D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass328 Test12= 1.80D-13 1.00D-09 XBig12= 3.87D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass329 Test12= 1.80D-13 1.00D-09 XBig12= 4.01D-15 1.41D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass330 Test12= 1.80D-13 1.00D-09 XBig12= 4.05D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass331 Test12= 1.80D-13 1.00D-09 XBig12= 4.07D-15 1.47D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass332 Test12= 1.80D-13 1.00D-09 XBig12= 3.87D-15 1.45D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass333 Test12= 1.80D-13 1.00D-09 XBig12= 3.74D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass334 Test12= 1.80D-13 1.00D-09 XBig12= 3.77D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass335 Test12= 1.80D-13 1.00D-09 XBig12= 3.81D-15 1.61D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass336 Test12= 1.80D-13 1.00D-09 XBig12= 3.97D-15 1.73D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass337 Test12= 1.80D-13 1.00D-09 XBig12= 3.96D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass338 Test12= 1.80D-13 1.00D-09 XBig12= 3.81D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass339 Test12= 1.80D-13 1.00D-09 XBig12= 4.01D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass340 Test12= 1.80D-13 1.00D-09 XBig12= 3.80D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass341 Test12= 1.80D-13 1.00D-09 XBig12= 3.85D-15 1.45D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass342 Test12= 1.80D-13 1.00D-09 XBig12= 3.91D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass343 Test12= 1.80D-13 1.00D-09 XBig12= 3.95D-15 1.39D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass344 Test12= 1.80D-13 1.00D-09 XBig12= 3.97D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass345 Test12= 1.80D-13 1.00D-09 XBig12= 3.91D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass346 Test12= 1.80D-13 1.00D-09 XBig12= 3.74D-15 1.82D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass347 Test12= 1.80D-13 1.00D-09 XBig12= 3.93D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass348 Test12= 1.80D-13 1.00D-09 XBig12= 4.05D-15 1.33D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass349 Test12= 1.80D-13 1.00D-09 XBig12= 3.71D-15 1.21D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass350 Test12= 1.80D-13 1.00D-09 XBig12= 3.63D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass351 Test12= 1.80D-13 1.00D-09 XBig12= 3.84D-15 1.44D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass352 Test12= 1.80D-13 1.00D-09 XBig12= 3.89D-15 1.60D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass353 Test12= 1.80D-13 1.00D-09 XBig12= 3.97D-15 1.56D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass354 Test12= 1.80D-13 1.00D-09 XBig12= 3.89D-15 1.60D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass355 Test12= 1.80D-13 1.00D-09 XBig12= 3.73D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass356 Test12= 1.80D-13 1.00D-09 XBig12= 3.78D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass357 Test12= 1.80D-13 1.00D-09 XBig12= 3.70D-15 1.46D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass358 Test12= 1.80D-13 1.00D-09 XBig12= 3.78D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass359 Test12= 1.80D-13 1.00D-09 XBig12= 3.74D-15 1.48D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass360 Test12= 1.80D-13 1.00D-09 XBig12= 3.94D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass361 Test12= 1.80D-13 1.00D-09 XBig12= 4.00D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass362 Test12= 1.80D-13 1.00D-09 XBig12= 3.81D-15 1.48D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass363 Test12= 1.80D-13 1.00D-09 XBig12= 3.79D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass364 Test12= 1.80D-13 1.00D-09 XBig12= 3.88D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass365 Test12= 1.80D-13 1.00D-09 XBig12= 3.86D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass366 Test12= 1.80D-13 1.00D-09 XBig12= 3.81D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass367 Test12= 1.80D-13 1.00D-09 XBig12= 3.77D-15 1.54D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass368 Test12= 1.80D-13 1.00D-09 XBig12= 3.90D-15 1.56D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass369 Test12= 1.80D-13 1.00D-09 XBig12= 3.97D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass370 Test12= 1.80D-13 1.00D-09 XBig12= 4.04D-15 1.42D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass371 Test12= 1.80D-13 1.00D-09 XBig12= 3.65D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass372 Test12= 1.80D-13 1.00D-09 XBig12= 3.60D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass373 Test12= 1.80D-13 1.00D-09 XBig12= 3.91D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass374 Test12= 1.80D-13 1.00D-09 XBig12= 3.84D-15 1.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass375 Test12= 1.80D-13 1.00D-09 XBig12= 3.99D-15 1.49D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass376 Test12= 1.80D-13 1.00D-09 XBig12= 3.72D-15 1.43D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass377 Test12= 1.80D-13 1.00D-09 XBig12= 3.90D-15 1.63D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass378 Test12= 1.80D-13 1.00D-09 XBig12= 3.72D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass379 Test12= 1.80D-13 1.00D-09 XBig12= 3.60D-15 1.15D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass380 Test12= 1.80D-13 1.00D-09 XBig12= 3.89D-15 1.49D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass381 Test12= 1.80D-13 1.00D-09 XBig12= 3.79D-15 1.49D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass382 Test12= 1.80D-13 1.00D-09 XBig12= 3.91D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass383 Test12= 1.80D-13 1.00D-09 XBig12= 3.98D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass384 Test12= 1.80D-13 1.00D-09 XBig12= 3.95D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass385 Test12= 1.80D-13 1.00D-09 XBig12= 3.75D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass386 Test12= 1.80D-13 1.00D-09 XBig12= 3.77D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass387 Test12= 1.80D-13 1.00D-09 XBig12= 3.88D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass388 Test12= 1.80D-13 1.00D-09 XBig12= 4.09D-15 1.50D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass389 Test12= 1.80D-13 1.00D-09 XBig12= 3.63D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass390 Test12= 1.80D-13 1.00D-09 XBig12= 3.67D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass391 Test12= 1.80D-13 1.00D-09 XBig12= 3.76D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass392 Test12= 1.80D-13 1.00D-09 XBig12= 3.73D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass393 Test12= 1.80D-13 1.00D-09 XBig12= 3.93D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass394 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass395 Test12= 1.80D-13 1.00D-09 XBig12= 4.22D-15 1.42D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass396 Test12= 1.80D-13 1.00D-09 XBig12= 3.66D-15 1.21D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass397 Test12= 1.80D-13 1.00D-09 XBig12= 3.71D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass398 Test12= 1.80D-13 1.00D-09 XBig12= 3.76D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass399 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass400 Test12= 1.80D-13 1.00D-09 XBig12= 3.85D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass401 Test12= 1.80D-13 1.00D-09 XBig12= 3.84D-15 1.49D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass402 Test12= 1.80D-13 1.00D-09 XBig12= 3.89D-15 1.48D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass403 Test12= 1.80D-13 1.00D-09 XBig12= 4.12D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass404 Test12= 1.80D-13 1.00D-09 XBig12= 3.81D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass405 Test12= 1.80D-13 1.00D-09 XBig12= 3.87D-15 1.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass406 Test12= 1.80D-13 1.00D-09 XBig12= 3.78D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass407 Test12= 1.80D-13 1.00D-09 XBig12= 3.81D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass408 Test12= 1.80D-13 1.00D-09 XBig12= 3.79D-15 1.41D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass409 Test12= 1.80D-13 1.00D-09 XBig12= 3.52D-15 1.56D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass410 Test12= 1.80D-13 1.00D-09 XBig12= 3.90D-15 1.42D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass411 Test12= 1.80D-13 1.00D-09 XBig12= 3.68D-15 1.10D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass412 Test12= 1.80D-13 1.00D-09 XBig12= 3.78D-15 1.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass413 Test12= 1.80D-13 1.00D-09 XBig12= 3.79D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass414 Test12= 1.80D-13 1.00D-09 XBig12= 4.00D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass415 Test12= 1.80D-13 1.00D-09 XBig12= 3.81D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass416 Test12= 1.80D-13 1.00D-09 XBig12= 3.80D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass417 Test12= 1.80D-13 1.00D-09 XBig12= 3.91D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass418 Test12= 1.80D-13 1.00D-09 XBig12= 3.76D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass419 Test12= 1.80D-13 1.00D-09 XBig12= 3.78D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass420 Test12= 1.80D-13 1.00D-09 XBig12= 3.88D-15 1.61D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass421 Test12= 1.80D-13 1.00D-09 XBig12= 3.99D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass422 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass423 Test12= 1.80D-13 1.00D-09 XBig12= 3.75D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass424 Test12= 1.80D-13 1.00D-09 XBig12= 3.76D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass425 Test12= 1.80D-13 1.00D-09 XBig12= 3.78D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass426 Test12= 1.80D-13 1.00D-09 XBig12= 3.77D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass427 Test12= 1.80D-13 1.00D-09 XBig12= 4.18D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass428 Test12= 1.80D-13 1.00D-09 XBig12= 3.73D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass429 Test12= 1.80D-13 1.00D-09 XBig12= 3.93D-15 1.60D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass430 Test12= 1.80D-13 1.00D-09 XBig12= 3.95D-15 1.59D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass431 Test12= 1.80D-13 1.00D-09 XBig12= 3.87D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass432 Test12= 1.80D-13 1.00D-09 XBig12= 3.65D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass433 Test12= 1.80D-13 1.00D-09 XBig12= 3.77D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass434 Test12= 1.80D-13 1.00D-09 XBig12= 3.79D-15 1.44D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass435 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass436 Test12= 1.80D-13 1.00D-09 XBig12= 3.51D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass437 Test12= 1.80D-13 1.00D-09 XBig12= 3.57D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass438 Test12= 1.80D-13 1.00D-09 XBig12= 3.67D-15 1.11D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass439 Test12= 1.80D-13 1.00D-09 XBig12= 3.76D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass440 Test12= 1.80D-13 1.00D-09 XBig12= 3.90D-15 1.45D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass441 Test12= 1.80D-13 1.00D-09 XBig12= 3.78D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass442 Test12= 1.80D-13 1.00D-09 XBig12= 3.87D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass443 Test12= 1.80D-13 1.00D-09 XBig12= 3.75D-15 1.45D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass444 Test12= 1.80D-13 1.00D-09 XBig12= 3.66D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass445 Test12= 1.80D-13 1.00D-09 XBig12= 3.63D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass446 Test12= 1.80D-13 1.00D-09 XBig12= 3.75D-15 1.65D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass447 Test12= 1.80D-13 1.00D-09 XBig12= 3.77D-15 1.68D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass448 Test12= 1.80D-13 1.00D-09 XBig12= 3.88D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass449 Test12= 1.80D-13 1.00D-09 XBig12= 3.70D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass450 Test12= 1.80D-13 1.00D-09 XBig12= 4.01D-15 1.45D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass451 Test12= 1.80D-13 1.00D-09 XBig12= 3.60D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass452 Test12= 1.80D-13 1.00D-09 XBig12= 3.91D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass453 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass454 Test12= 1.80D-13 1.00D-09 XBig12= 3.67D-15 1.68D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass455 Test12= 1.80D-13 1.00D-09 XBig12= 3.64D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass456 Test12= 1.80D-13 1.00D-09 XBig12= 3.80D-15 1.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass457 Test12= 1.80D-13 1.00D-09 XBig12= 3.91D-15 1.42D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass458 Test12= 1.80D-13 1.00D-09 XBig12= 3.91D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass459 Test12= 1.80D-13 1.00D-09 XBig12= 3.71D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass460 Test12= 1.80D-13 1.00D-09 XBig12= 3.82D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass461 Test12= 1.80D-13 1.00D-09 XBig12= 3.55D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass462 Test12= 1.80D-13 1.00D-09 XBig12= 3.69D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass463 Test12= 1.80D-13 1.00D-09 XBig12= 3.54D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass464 Test12= 1.80D-13 1.00D-09 XBig12= 3.74D-15 1.60D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass465 Test12= 1.80D-13 1.00D-09 XBig12= 3.60D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass466 Test12= 1.80D-13 1.00D-09 XBig12= 3.64D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass467 Test12= 1.80D-13 1.00D-09 XBig12= 3.72D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass468 Test12= 1.80D-13 1.00D-09 XBig12= 3.83D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass469 Test12= 1.80D-13 1.00D-09 XBig12= 3.68D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass470 Test12= 1.80D-13 1.00D-09 XBig12= 3.78D-15 1.44D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass471 Test12= 1.80D-13 1.00D-09 XBig12= 3.66D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass472 Test12= 1.80D-13 1.00D-09 XBig12= 3.46D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass473 Test12= 1.80D-13 1.00D-09 XBig12= 3.94D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass474 Test12= 1.80D-13 1.00D-09 XBig12= 3.67D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass475 Test12= 1.80D-13 1.00D-09 XBig12= 3.73D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass476 Test12= 1.80D-13 1.00D-09 XBig12= 4.03D-15 1.48D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass477 Test12= 1.80D-13 1.00D-09 XBig12= 3.54D-15 1.14D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass478 Test12= 1.80D-13 1.00D-09 XBig12= 3.58D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass479 Test12= 1.80D-13 1.00D-09 XBig12= 3.66D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass480 Test12= 1.80D-13 1.00D-09 XBig12= 3.74D-15 1.45D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass481 Test12= 1.80D-13 1.00D-09 XBig12= 3.75D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass482 Test12= 1.80D-13 1.00D-09 XBig12= 3.41D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass483 Test12= 1.80D-13 1.00D-09 XBig12= 3.80D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass484 Test12= 1.80D-13 1.00D-09 XBig12= 3.53D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass485 Test12= 1.80D-13 1.00D-09 XBig12= 3.88D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass486 Test12= 1.80D-13 1.00D-09 XBig12= 3.70D-15 1.44D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass487 Test12= 1.80D-13 1.00D-09 XBig12= 3.57D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass488 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass489 Test12= 1.80D-13 1.00D-09 XBig12= 3.70D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass490 Test12= 1.80D-13 1.00D-09 XBig12= 3.69D-15 1.33D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass491 Test12= 1.80D-13 1.00D-09 XBig12= 3.86D-15 1.33D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass492 Test12= 1.80D-13 1.00D-09 XBig12= 3.66D-15 1.46D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass493 Test12= 1.80D-13 1.00D-09 XBig12= 3.63D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass494 Test12= 1.80D-13 1.00D-09 XBig12= 3.50D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass495 Test12= 1.80D-13 1.00D-09 XBig12= 3.66D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass496 Test12= 1.80D-13 1.00D-09 XBig12= 3.74D-15 1.51D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass497 Test12= 1.80D-13 1.00D-09 XBig12= 3.46D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass498 Test12= 1.80D-13 1.00D-09 XBig12= 3.45D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass499 Test12= 1.80D-13 1.00D-09 XBig12= 3.38D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass500 Test12= 1.80D-13 1.00D-09 XBig12= 3.61D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass501 Test12= 1.80D-13 1.00D-09 XBig12= 3.59D-15 1.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass502 Test12= 1.80D-13 1.00D-09 XBig12= 3.60D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass503 Test12= 1.80D-13 1.00D-09 XBig12= 3.44D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass504 Test12= 1.80D-13 1.00D-09 XBig12= 3.61D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass505 Test12= 1.80D-13 1.00D-09 XBig12= 3.49D-15 1.43D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass506 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass507 Test12= 1.80D-13 1.00D-09 XBig12= 3.51D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass508 Test12= 1.80D-13 1.00D-09 XBig12= 3.55D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass509 Test12= 1.80D-13 1.00D-09 XBig12= 3.42D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass510 Test12= 1.80D-13 1.00D-09 XBig12= 3.45D-15 1.41D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass511 Test12= 1.80D-13 1.00D-09 XBig12= 3.61D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass512 Test12= 1.80D-13 1.00D-09 XBig12= 3.33D-15 1.07D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass513 Test12= 1.80D-13 1.00D-09 XBig12= 3.80D-15 1.47D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass514 Test12= 1.80D-13 1.00D-09 XBig12= 3.61D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass515 Test12= 1.80D-13 1.00D-09 XBig12= 3.63D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass516 Test12= 1.80D-13 1.00D-09 XBig12= 3.57D-15 1.54D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass517 Test12= 1.80D-13 1.00D-09 XBig12= 3.63D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass518 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.08D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass519 Test12= 1.80D-13 1.00D-09 XBig12= 3.61D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass520 Test12= 1.80D-13 1.00D-09 XBig12= 3.89D-15 1.39D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass521 Test12= 1.80D-13 1.00D-09 XBig12= 3.36D-15 1.43D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass522 Test12= 1.80D-13 1.00D-09 XBig12= 3.63D-15 1.49D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass523 Test12= 1.80D-13 1.00D-09 XBig12= 3.68D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass524 Test12= 1.80D-13 1.00D-09 XBig12= 3.38D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass525 Test12= 1.80D-13 1.00D-09 XBig12= 3.72D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass526 Test12= 1.80D-13 1.00D-09 XBig12= 3.83D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass527 Test12= 1.80D-13 1.00D-09 XBig12= 3.49D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass528 Test12= 1.80D-13 1.00D-09 XBig12= 3.61D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass529 Test12= 1.80D-13 1.00D-09 XBig12= 3.59D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass530 Test12= 1.80D-13 1.00D-09 XBig12= 3.50D-15 1.63D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass531 Test12= 1.80D-13 1.00D-09 XBig12= 3.53D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass532 Test12= 1.80D-13 1.00D-09 XBig12= 3.33D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass533 Test12= 1.80D-13 1.00D-09 XBig12= 3.71D-15 1.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass534 Test12= 1.80D-13 1.00D-09 XBig12= 3.70D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass535 Test12= 1.80D-13 1.00D-09 XBig12= 3.30D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass536 Test12= 1.80D-13 1.00D-09 XBig12= 3.64D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass537 Test12= 1.80D-13 1.00D-09 XBig12= 3.48D-15 1.49D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass538 Test12= 1.80D-13 1.00D-09 XBig12= 3.40D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass539 Test12= 1.80D-13 1.00D-09 XBig12= 3.50D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass540 Test12= 1.80D-13 1.00D-09 XBig12= 3.51D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass541 Test12= 1.80D-13 1.00D-09 XBig12= 3.50D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass542 Test12= 1.80D-13 1.00D-09 XBig12= 3.82D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass543 Test12= 1.80D-13 1.00D-09 XBig12= 3.56D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass544 Test12= 1.80D-13 1.00D-09 XBig12= 3.43D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass545 Test12= 1.80D-13 1.00D-09 XBig12= 3.56D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass546 Test12= 1.80D-13 1.00D-09 XBig12= 3.67D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass547 Test12= 1.80D-13 1.00D-09 XBig12= 3.29D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass548 Test12= 1.80D-13 1.00D-09 XBig12= 3.60D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass549 Test12= 1.80D-13 1.00D-09 XBig12= 3.53D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass550 Test12= 1.80D-13 1.00D-09 XBig12= 3.69D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass551 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass552 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass553 Test12= 1.80D-13 1.00D-09 XBig12= 3.54D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass554 Test12= 1.80D-13 1.00D-09 XBig12= 3.41D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass555 Test12= 1.80D-13 1.00D-09 XBig12= 3.72D-15 1.21D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass556 Test12= 1.80D-13 1.00D-09 XBig12= 3.63D-15 1.60D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass557 Test12= 1.80D-13 1.00D-09 XBig12= 3.59D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass558 Test12= 1.80D-13 1.00D-09 XBig12= 3.49D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass559 Test12= 1.80D-13 1.00D-09 XBig12= 3.48D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass560 Test12= 1.80D-13 1.00D-09 XBig12= 3.44D-15 1.50D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass561 Test12= 1.80D-13 1.00D-09 XBig12= 3.56D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass562 Test12= 1.80D-13 1.00D-09 XBig12= 3.58D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass563 Test12= 1.80D-13 1.00D-09 XBig12= 3.46D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass564 Test12= 1.80D-13 1.00D-09 XBig12= 3.48D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass565 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass566 Test12= 1.80D-13 1.00D-09 XBig12= 3.77D-15 1.43D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass567 Test12= 1.80D-13 1.00D-09 XBig12= 3.43D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass568 Test12= 1.80D-13 1.00D-09 XBig12= 3.28D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass569 Test12= 1.80D-13 1.00D-09 XBig12= 3.86D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass570 Test12= 1.80D-13 1.00D-09 XBig12= 3.52D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass571 Test12= 1.80D-13 1.00D-09 XBig12= 3.60D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass572 Test12= 1.80D-13 1.00D-09 XBig12= 3.49D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass573 Test12= 1.80D-13 1.00D-09 XBig12= 3.63D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass574 Test12= 1.80D-13 1.00D-09 XBig12= 3.47D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass575 Test12= 1.80D-13 1.00D-09 XBig12= 3.41D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass576 Test12= 1.80D-13 1.00D-09 XBig12= 3.41D-15 1.42D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass577 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass578 Test12= 1.80D-13 1.00D-09 XBig12= 3.28D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass579 Test12= 1.80D-13 1.00D-09 XBig12= 3.32D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass580 Test12= 1.80D-13 1.00D-09 XBig12= 3.33D-15 1.33D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass581 Test12= 1.80D-13 1.00D-09 XBig12= 3.52D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass582 Test12= 1.80D-13 1.00D-09 XBig12= 3.54D-15 1.56D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass583 Test12= 1.80D-13 1.00D-09 XBig12= 3.34D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass584 Test12= 1.80D-13 1.00D-09 XBig12= 3.41D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass585 Test12= 1.80D-13 1.00D-09 XBig12= 3.64D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass586 Test12= 1.80D-13 1.00D-09 XBig12= 3.42D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass587 Test12= 1.80D-13 1.00D-09 XBig12= 3.54D-15 1.39D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass588 Test12= 1.80D-13 1.00D-09 XBig12= 3.53D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass589 Test12= 1.80D-13 1.00D-09 XBig12= 3.47D-15 1.15D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass590 Test12= 1.80D-13 1.00D-09 XBig12= 3.63D-15 1.57D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass591 Test12= 1.80D-13 1.00D-09 XBig12= 3.57D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass592 Test12= 1.80D-13 1.00D-09 XBig12= 3.20D-15 1.15D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass593 Test12= 1.80D-13 1.00D-09 XBig12= 3.26D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass594 Test12= 1.80D-13 1.00D-09 XBig12= 3.58D-15 1.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass595 Test12= 1.80D-13 1.00D-09 XBig12= 3.53D-15 1.43D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass596 Test12= 1.80D-13 1.00D-09 XBig12= 3.38D-15 1.42D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass597 Test12= 1.80D-13 1.00D-09 XBig12= 3.42D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass598 Test12= 1.80D-13 1.00D-09 XBig12= 3.42D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass599 Test12= 1.80D-13 1.00D-09 XBig12= 3.48D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass600 Test12= 1.80D-13 1.00D-09 XBig12= 3.54D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass601 Test12= 1.80D-13 1.00D-09 XBig12= 3.40D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass602 Test12= 1.80D-13 1.00D-09 XBig12= 3.26D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass603 Test12= 1.80D-13 1.00D-09 XBig12= 3.29D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass604 Test12= 1.80D-13 1.00D-09 XBig12= 3.40D-15 1.45D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass605 Test12= 1.80D-13 1.00D-09 XBig12= 3.63D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass606 Test12= 1.80D-13 1.00D-09 XBig12= 3.36D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass607 Test12= 1.80D-13 1.00D-09 XBig12= 3.72D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass608 Test12= 1.80D-13 1.00D-09 XBig12= 3.48D-15 1.39D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass609 Test12= 1.80D-13 1.00D-09 XBig12= 3.53D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass610 Test12= 1.80D-13 1.00D-09 XBig12= 3.38D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass611 Test12= 1.80D-13 1.00D-09 XBig12= 3.30D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass612 Test12= 1.80D-13 1.00D-09 XBig12= 3.53D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass613 Test12= 1.80D-13 1.00D-09 XBig12= 3.34D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass614 Test12= 1.80D-13 1.00D-09 XBig12= 3.42D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass615 Test12= 1.80D-13 1.00D-09 XBig12= 3.34D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass616 Test12= 1.80D-13 1.00D-09 XBig12= 3.53D-15 1.45D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass617 Test12= 1.80D-13 1.00D-09 XBig12= 3.47D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass618 Test12= 1.80D-13 1.00D-09 XBig12= 3.54D-15 1.13D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass619 Test12= 1.80D-13 1.00D-09 XBig12= 3.53D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass620 Test12= 1.80D-13 1.00D-09 XBig12= 3.66D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass621 Test12= 1.80D-13 1.00D-09 XBig12= 3.41D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass622 Test12= 1.80D-13 1.00D-09 XBig12= 3.63D-15 1.51D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass623 Test12= 1.80D-13 1.00D-09 XBig12= 3.39D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass624 Test12= 1.80D-13 1.00D-09 XBig12= 3.31D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass625 Test12= 1.80D-13 1.00D-09 XBig12= 3.46D-15 1.21D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass626 Test12= 1.80D-13 1.00D-09 XBig12= 3.30D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass627 Test12= 1.80D-13 1.00D-09 XBig12= 3.39D-15 1.14D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass628 Test12= 1.80D-13 1.00D-09 XBig12= 3.56D-15 1.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass629 Test12= 1.80D-13 1.00D-09 XBig12= 3.24D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass630 Test12= 1.80D-13 1.00D-09 XBig12= 3.15D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass631 Test12= 1.80D-13 1.00D-09 XBig12= 3.62D-15 1.39D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass632 Test12= 1.80D-13 1.00D-09 XBig12= 3.48D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass633 Test12= 1.80D-13 1.00D-09 XBig12= 3.44D-15 1.49D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass634 Test12= 1.80D-13 1.00D-09 XBig12= 3.25D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass635 Test12= 1.80D-13 1.00D-09 XBig12= 3.54D-15 1.33D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass636 Test12= 1.80D-13 1.00D-09 XBig12= 3.23D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass637 Test12= 1.80D-13 1.00D-09 XBig12= 3.45D-15 1.08D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass638 Test12= 1.80D-13 1.00D-09 XBig12= 3.26D-15 1.12D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass639 Test12= 1.80D-13 1.00D-09 XBig12= 3.20D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass640 Test12= 1.80D-13 1.00D-09 XBig12= 3.61D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass641 Test12= 1.80D-13 1.00D-09 XBig12= 3.37D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass642 Test12= 1.80D-13 1.00D-09 XBig12= 3.37D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass643 Test12= 1.80D-13 1.00D-09 XBig12= 3.28D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass644 Test12= 1.80D-13 1.00D-09 XBig12= 3.30D-15 1.39D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass645 Test12= 1.80D-13 1.00D-09 XBig12= 3.23D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass646 Test12= 1.80D-13 1.00D-09 XBig12= 3.43D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass647 Test12= 1.80D-13 1.00D-09 XBig12= 3.24D-15 1.44D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass648 Test12= 1.80D-13 1.00D-09 XBig12= 3.28D-15 1.08D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass649 Test12= 1.80D-13 1.00D-09 XBig12= 3.32D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass650 Test12= 1.80D-13 1.00D-09 XBig12= 3.34D-15 1.14D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass651 Test12= 1.80D-13 1.00D-09 XBig12= 3.16D-15 1.15D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass652 Test12= 1.80D-13 1.00D-09 XBig12= 3.34D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass653 Test12= 1.80D-13 1.00D-09 XBig12= 3.39D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass654 Test12= 1.80D-13 1.00D-09 XBig12= 3.40D-15 1.54D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass655 Test12= 1.80D-13 1.00D-09 XBig12= 3.38D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass656 Test12= 1.80D-13 1.00D-09 XBig12= 3.38D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass657 Test12= 1.80D-13 1.00D-09 XBig12= 3.23D-15 1.13D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass658 Test12= 1.80D-13 1.00D-09 XBig12= 3.21D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass659 Test12= 1.80D-13 1.00D-09 XBig12= 3.49D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass660 Test12= 1.80D-13 1.00D-09 XBig12= 3.41D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass661 Test12= 1.80D-13 1.00D-09 XBig12= 3.12D-15 1.11D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass662 Test12= 1.80D-13 1.00D-09 XBig12= 3.22D-15 1.14D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass663 Test12= 1.80D-13 1.00D-09 XBig12= 3.39D-15 1.21D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass664 Test12= 1.80D-13 1.00D-09 XBig12= 3.39D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass665 Test12= 1.80D-13 1.00D-09 XBig12= 3.21D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass666 Test12= 1.80D-13 1.00D-09 XBig12= 3.47D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass667 Test12= 1.80D-13 1.00D-09 XBig12= 3.38D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass668 Test12= 1.80D-13 1.00D-09 XBig12= 3.18D-15 1.10D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass669 Test12= 1.80D-13 1.00D-09 XBig12= 3.40D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass670 Test12= 1.80D-13 1.00D-09 XBig12= 3.31D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass671 Test12= 1.80D-13 1.00D-09 XBig12= 3.39D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass672 Test12= 1.80D-13 1.00D-09 XBig12= 3.16D-15 1.11D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass673 Test12= 1.80D-13 1.00D-09 XBig12= 3.41D-15 1.23D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass674 Test12= 1.80D-13 1.00D-09 XBig12= 3.43D-15 1.27D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass675 Test12= 1.80D-13 1.00D-09 XBig12= 3.30D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass676 Test12= 1.80D-13 1.00D-09 XBig12= 3.51D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass677 Test12= 1.80D-13 1.00D-09 XBig12= 3.27D-15 1.34D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass678 Test12= 1.80D-13 1.00D-09 XBig12= 3.26D-15 1.12D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass679 Test12= 1.80D-13 1.00D-09 XBig12= 3.34D-15 1.44D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass680 Test12= 1.80D-13 1.00D-09 XBig12= 3.39D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass681 Test12= 1.80D-13 1.00D-09 XBig12= 3.42D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass682 Test12= 1.80D-13 1.00D-09 XBig12= 3.39D-15 1.13D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass683 Test12= 1.80D-13 1.00D-09 XBig12= 3.21D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass684 Test12= 1.80D-13 1.00D-09 XBig12= 3.32D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass685 Test12= 1.80D-13 1.00D-09 XBig12= 3.15D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass686 Test12= 1.80D-13 1.00D-09 XBig12= 3.26D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass687 Test12= 1.80D-13 1.00D-09 XBig12= 3.30D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass688 Test12= 1.80D-13 1.00D-09 XBig12= 3.23D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass689 Test12= 1.80D-13 1.00D-09 XBig12= 3.35D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass690 Test12= 1.80D-13 1.00D-09 XBig12= 3.34D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass691 Test12= 1.80D-13 1.00D-09 XBig12= 3.46D-15 1.21D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass692 Test12= 1.80D-13 1.00D-09 XBig12= 3.32D-15 1.12D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass693 Test12= 1.80D-13 1.00D-09 XBig12= 3.31D-15 1.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass694 Test12= 1.80D-13 1.00D-09 XBig12= 3.37D-15 1.15D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass695 Test12= 1.80D-13 1.00D-09 XBig12= 3.23D-15 1.30D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass696 Test12= 1.80D-13 1.00D-09 XBig12= 3.26D-15 1.10D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass697 Test12= 1.80D-13 1.00D-09 XBig12= 3.46D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass698 Test12= 1.80D-13 1.00D-09 XBig12= 3.27D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass699 Test12= 1.80D-13 1.00D-09 XBig12= 3.22D-15 1.11D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass700 Test12= 1.80D-13 1.00D-09 XBig12= 3.39D-15 1.33D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass701 Test12= 1.80D-13 1.00D-09 XBig12= 3.26D-15 1.15D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass702 Test12= 1.80D-13 1.00D-09 XBig12= 3.41D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass703 Test12= 1.80D-13 1.00D-09 XBig12= 3.22D-15 1.43D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass704 Test12= 1.80D-13 1.00D-09 XBig12= 3.27D-15 1.21D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass705 Test12= 1.80D-13 1.00D-09 XBig12= 3.15D-15 1.05D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass706 Test12= 1.80D-13 1.00D-09 XBig12= 3.33D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass707 Test12= 1.80D-13 1.00D-09 XBig12= 3.15D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass708 Test12= 1.80D-13 1.00D-09 XBig12= 3.38D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass709 Test12= 1.80D-13 1.00D-09 XBig12= 3.24D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass710 Test12= 1.80D-13 1.00D-09 XBig12= 3.30D-15 1.13D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass711 Test12= 1.80D-13 1.00D-09 XBig12= 3.27D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass712 Test12= 1.80D-13 1.00D-09 XBig12= 3.46D-15 1.37D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass713 Test12= 1.80D-13 1.00D-09 XBig12= 3.38D-15 1.40D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass714 Test12= 1.80D-13 1.00D-09 XBig12= 3.18D-15 1.25D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass715 Test12= 1.80D-13 1.00D-09 XBig12= 3.35D-15 1.12D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass716 Test12= 1.80D-13 1.00D-09 XBig12= 3.18D-15 1.48D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass717 Test12= 1.80D-13 1.00D-09 XBig12= 3.14D-15 1.06D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass718 Test12= 1.80D-13 1.00D-09 XBig12= 3.22D-15 1.14D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass719 Test12= 1.80D-13 1.00D-09 XBig12= 3.07D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass720 Test12= 1.80D-13 1.00D-09 XBig12= 3.28D-15 1.39D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass721 Test12= 1.80D-13 1.00D-09 XBig12= 3.09D-15 1.14D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass722 Test12= 1.80D-13 1.00D-09 XBig12= 3.24D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass723 Test12= 1.80D-13 1.00D-09 XBig12= 3.26D-15 1.03D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass724 Test12= 1.80D-13 1.00D-09 XBig12= 3.25D-15 1.60D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass725 Test12= 1.80D-13 1.00D-09 XBig12= 3.10D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass726 Test12= 1.80D-13 1.00D-09 XBig12= 3.29D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass727 Test12= 1.80D-13 1.00D-09 XBig12= 3.21D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass728 Test12= 1.80D-13 1.00D-09 XBig12= 3.25D-15 1.12D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass729 Test12= 1.80D-13 1.00D-09 XBig12= 3.35D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass730 Test12= 1.80D-13 1.00D-09 XBig12= 3.20D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass731 Test12= 1.80D-13 1.00D-09 XBig12= 3.27D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass732 Test12= 1.80D-13 1.00D-09 XBig12= 3.25D-15 1.43D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass733 Test12= 1.80D-13 1.00D-09 XBig12= 3.33D-15 1.33D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass734 Test12= 1.80D-13 1.00D-09 XBig12= 3.28D-15 1.52D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass735 Test12= 1.80D-13 1.00D-09 XBig12= 3.05D-15 1.13D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass736 Test12= 1.80D-13 1.00D-09 XBig12= 3.23D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass737 Test12= 1.80D-13 1.00D-09 XBig12= 3.41D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass738 Test12= 1.80D-13 1.00D-09 XBig12= 3.15D-15 1.24D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass739 Test12= 1.80D-13 1.00D-09 XBig12= 3.09D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass740 Test12= 1.80D-13 1.00D-09 XBig12= 3.38D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass741 Test12= 1.80D-13 1.00D-09 XBig12= 3.04D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass742 Test12= 1.80D-13 1.00D-09 XBig12= 3.09D-15 1.28D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass743 Test12= 1.80D-13 1.00D-09 XBig12= 3.23D-15 1.35D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass744 Test12= 1.80D-13 1.00D-09 XBig12= 3.25D-15 1.46D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass745 Test12= 1.80D-13 1.00D-09 XBig12= 3.22D-15 1.15D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass746 Test12= 1.80D-13 1.00D-09 XBig12= 3.19D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass747 Test12= 1.80D-13 1.00D-09 XBig12= 3.25D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass748 Test12= 1.80D-13 1.00D-09 XBig12= 3.25D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass749 Test12= 1.80D-13 1.00D-09 XBig12= 3.03D-15 1.20D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass750 Test12= 1.80D-13 1.00D-09 XBig12= 3.17D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass751 Test12= 1.80D-13 1.00D-09 XBig12= 3.32D-15 1.22D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass752 Test12= 1.80D-13 1.00D-09 XBig12= 3.22D-15 1.21D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass753 Test12= 1.80D-13 1.00D-09 XBig12= 3.30D-15 1.38D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass754 Test12= 1.80D-13 1.00D-09 XBig12= 3.05D-15 1.08D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass755 Test12= 1.80D-13 1.00D-09 XBig12= 3.24D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass756 Test12= 1.80D-13 1.00D-09 XBig12= 3.16D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass757 Test12= 1.80D-13 1.00D-09 XBig12= 3.28D-15 1.06D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass758 Test12= 1.80D-13 1.00D-09 XBig12= 3.18D-15 1.11D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass759 Test12= 1.80D-13 1.00D-09 XBig12= 3.35D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass760 Test12= 1.80D-13 1.00D-09 XBig12= 3.16D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass761 Test12= 1.80D-13 1.00D-09 XBig12= 3.34D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass762 Test12= 1.80D-13 1.00D-09 XBig12= 3.00D-15 1.36D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass763 Test12= 1.80D-13 1.00D-09 XBig12= 3.18D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass764 Test12= 1.80D-13 1.00D-09 XBig12= 3.21D-15 1.13D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass765 Test12= 1.80D-13 1.00D-09 XBig12= 3.29D-15 1.16D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass766 Test12= 1.80D-13 1.00D-09 XBig12= 3.16D-15 1.31D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass767 Test12= 1.80D-13 1.00D-09 XBig12= 3.12D-15 1.09D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass768 Test12= 1.80D-13 1.00D-09 XBig12= 3.07D-15 1.09D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass769 Test12= 1.80D-13 1.00D-09 XBig12= 3.27D-15 1.19D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass770 Test12= 1.80D-13 1.00D-09 XBig12= 3.15D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass771 Test12= 1.80D-13 1.00D-09 XBig12= 2.97D-15 1.32D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass772 Test12= 1.80D-13 1.00D-09 XBig12= 3.00D-15 1.03D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass773 Test12= 1.80D-13 1.00D-09 XBig12= 3.18D-15 1.10D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass774 Test12= 1.80D-13 1.00D-09 XBig12= 3.30D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass775 Test12= 1.80D-13 1.00D-09 XBig12= 3.16D-15 1.17D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass776 Test12= 1.80D-13 1.00D-09 XBig12= 3.12D-15 1.11D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass777 Test12= 1.80D-13 1.00D-09 XBig12= 3.23D-15 1.11D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass778 Test12= 1.80D-13 1.00D-09 XBig12= 3.16D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass779 Test12= 1.80D-13 1.00D-09 XBig12= 3.42D-15 1.21D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass780 Test12= 1.80D-13 1.00D-09 XBig12= 3.11D-15 1.18D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass781 Test12= 1.80D-13 1.00D-09 XBig12= 3.29D-15 1.29D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass782 Test12= 1.80D-13 1.00D-09 XBig12= 3.03D-15 1.11D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass783 Test12= 1.80D-13 1.00D-09 XBig12= 3.09D-15 1.08D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass784 Test12= 1.80D-13 1.00D-09 XBig12= 3.06D-15 1.06D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass785 Test12= 1.80D-13 1.00D-09 XBig12= 2.98D-15 1.14D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass786 Test12= 1.80D-13 1.00D-09 XBig12= 3.16D-15 1.26D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">1 vectors produced by pass787 Test12= 1.80D-13 1.00D-09 XBig12= 3.12D-15 1.11D-09.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">InvSVY:  IOpt=1 It=  1 EMax= 6.39D-14</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Solved reduced A of dimension  4526 with   204 vectors.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">FullF1:  Do perturbations      1 to       3.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">Isotropic polarizability for W=    0.000000      723.17 Bohr**3.</scalar>
<scalar dataType="xsd:string" dictRef="g:l1002.minotr">End of Minotr F.D. properties file   721 does not exist.</scalar>
</list>
</module>
<module cmlx:templateRef="l601.polariz">
<array dataType="xsd:double" dictRef="g:l601.pol.exact" size="6">851.634 -55.201 788.333 63.658 -82.892 529.529</array>
<array dataType="xsd:double" dictRef="g:l601.pol.approx" size="6">612.458 -19.389 595.029 40.954 -56.475 422.419</array>
</module>
<module cmlx:templateRef="l716">
<list cmlx:templateRef="l716">
<scalar dataType="xsd:string" dictRef="g:l716">(Enter /aplic/Gaussian/g16_a03/g16/l716.exe)</scalar>
</list>
</module>
</module>
</module>
<module dictRef="cc:finalization" id="finalization">
<propertyList>
<property dictRef="cc:jobtime">
<scalar dataType="xsd:string">PT2645256S</scalar>
</property>
<property dictRef="cc:jobdatetime.end">
<scalar dataType="xsd:string">Fri Mar  6 13:58:17 2026</scalar>
</property>
<property dictRef="cc:popanal">
<module cmlx:templateRef="l601.popanal" dictRef="cc:userDefinedModule">
<array dataType="xsd:double" dictRef="g:alphaocc" size="146">-101.62442 -89.15580 -19.23803 -14.52054 -14.50521 -14.49477 -10.35833 -10.35628 -10.34679 -10.34048 -10.33836 -10.33725 -10.33241 -10.32121 -10.31940 -10.31733 -10.31689 -10.31585 -10.31367 -10.31215 -10.31165 -10.31074 -10.31074 -10.31066 -10.30969 -10.30840 -10.30816 -10.30780 -10.29970 -10.29870 -10.29861 -10.29782 -10.29674 -10.29669 -10.29663 -10.29641 -10.29540 -9.51045 -8.17462 -7.25307 -7.25033 -7.25007 -6.12222 -6.12146 -6.11749 -3.10989 -1.95914 -1.94597 -1.93622 -1.13936 -1.09851 -1.08215 -1.05924 -1.00345 -0.96209 -0.94002 -0.92401 -0.92113 -0.91320 -0.91152 -0.90770 -0.89671 -0.87831 -0.85499 -0.84334 -0.84147 -0.83105 -0.82440 -0.82323 -0.80439 -0.76104 -0.75166 -0.74821 -0.73223 -0.72723 -0.72373 -0.72094 -0.71109 -0.70993 -0.68766 -0.64353 -0.64196 -0.63043 -0.61773 -0.61603 -0.60976 -0.60508 -0.59921 -0.58765 -0.58283 -0.57886 -0.57428 -0.57027 -0.55726 -0.55606 -0.55500 -0.55388 -0.54858 -0.53371 -0.53289 -0.53067 -0.52609 -0.52420 -0.52173 -0.51960 -0.51705 -0.51150 -0.50987 -0.50636 -0.50565 -0.49475 -0.48917 -0.48531 -0.48157 -0.48092 -0.47772 -0.47435 -0.47260 -0.46166 -0.45893 -0.45693 -0.45437 -0.44601 -0.43983 -0.43619 -0.43203 -0.42106 -0.41262 -0.41003 -0.39840 -0.39460 -0.39049 -0.38674 -0.38302 -0.37287 -0.36517 -0.36227 -0.35737 -0.35507 -0.34895 -0.34321 -0.31201 -0.29342 -0.28370 -0.27422 -0.27377</array>
<array dataType="xsd:double" dictRef="g:alphavirt" size="1236">-0.01735 -0.00768 0.00394 0.01687 0.01931 0.03042 0.03547 0.04426 0.04710 0.06383 0.06822 0.08168 0.09250 0.10043 0.10554 0.10897 0.11301 0.11579 0.12182 0.12958 0.13305 0.13386 0.13849 0.14410 0.14768 0.15021 0.15296 0.15567 0.15643 0.15909 0.16731 0.16808 0.17063 0.17383 0.17873 0.18073 0.18278 0.18451 0.18604 0.18919 0.19072 0.19473 0.19705 0.20050 0.20405 0.20862 0.21093 0.21341 0.21664 0.21956 0.22104 0.22279 0.22566 0.22918 0.23642 0.23754 0.24029 0.24248 0.24599 0.24857 0.25047 0.25681 0.25784 0.25952 0.26620 0.26767 0.26858 0.27238 0.27462 0.27709 0.28081 0.28437 0.28724 0.28824 0.29181 0.29679 0.29788 0.30076 0.30201 0.30451 0.30460 0.30966 0.31250 0.31616 0.31964 0.32010 0.32072 0.32257 0.32294 0.32607 0.32942 0.33480 0.33593 0.33713 0.34154 0.34271 0.34655 0.34879 0.34973 0.35290 0.35387 0.35577 0.35861 0.35993 0.36109 0.36314 0.36719 0.36901 0.37071 0.37796 0.37976 0.38084 0.38338 0.38694 0.38806 0.39068 0.39239 0.39763 0.39941 0.40224 0.40325 0.40557 0.40753 0.41250 0.41642 0.41953 0.42302 0.42504 0.42858 0.43052 0.43388 0.43520 0.43785 0.44023 0.44178 0.44675 0.44743 0.44981 0.45448 0.45605 0.45794 0.46157 0.46321 0.46419 0.46671 0.47192 0.47530 0.47670 0.47760 0.48096 0.48185 0.48574 0.48802 0.48993 0.49044 0.49313 0.49480 0.49786 0.50152 0.50357 0.50561 0.50803 0.51028 0.51195 0.51539 0.51746 0.51992 0.52207 0.52456 0.53232 0.53779 0.53953 0.54109 0.54209 0.54330 0.54665 0.54849 0.55118 0.55439 0.55557 0.56039 0.56306 0.56449 0.56683 0.57115 0.57302 0.57446 0.57490 0.57622 0.58259 0.58457 0.58604 0.58968 0.59011 0.59255 0.59478 0.60017 0.60082 0.60777 0.60923 0.61091 0.61371 0.61752 0.62401 0.62618 0.62690 0.63477 0.63923 0.64110 0.64337 0.64890 0.65109 0.65590 0.65935 0.66532 0.66636 0.66876 0.67707 0.68005 0.68227 0.68592 0.68765 0.69163 0.69388 0.69968 0.70473 0.70647 0.70856 0.70985 0.71387 0.71879 0.72012 0.72825 0.72906 0.72927 0.73593 0.73736 0.74103 0.74206 0.74361 0.74970 0.75100 0.75690 0.75980 0.76027 0.76225 0.76590 0.76890 0.77105 0.77272 0.77461 0.78285 0.78563 0.78634 0.78875 0.79136 0.79863 0.79991 0.80825 0.80874 0.81477 0.81592 0.81694 0.82025 0.82391 0.82800 0.83139 0.83497 0.83638 0.83739 0.84071 0.84373 0.84530 0.84918 0.85101 0.85894 0.86121 0.86240 0.86812 0.87223 0.87536 0.88015 0.88412 0.88449 0.88550 0.89130 0.89264 0.89589 0.89855 0.90586 0.90898 0.91143 0.91493 0.91650 0.92322 0.92439 0.92880 0.93056 0.93912 0.93963 0.94438 0.94759 0.94996 0.95318 0.95527 0.96148 0.96627 0.97183 0.97498 0.97787 0.98527 0.98763 0.98857 0.99252 0.99854 1.00344 1.00381 1.00943 1.01457 1.01967 1.02483 1.02532 1.03000 1.03243 1.04195 1.04868 1.05304 1.05602 1.05950 1.06350 1.06618 1.07701 1.08046 1.08539 1.08974 1.09187 1.09478 1.09684 1.10194 1.10965 1.11335 1.11726 1.11912 1.12497 1.13105 1.13560 1.13873 1.14251 1.14619 1.14986 1.15365 1.15469 1.16508 1.16634 1.17030 1.17752 1.18250 1.18571 1.19378 1.19764 1.19977 1.21171 1.21305 1.21473 1.21976 1.22224 1.23094 1.23725 1.24022 1.24594 1.25106 1.25380 1.25825 1.26560 1.27588 1.28010 1.28646 1.29042 1.29324 1.30186 1.30539 1.31067 1.31127 1.31612 1.32408 1.32610 1.33166 1.33420 1.34009 1.34384 1.34630 1.35039 1.35750 1.36496 1.37015 1.37068 1.37466 1.38396 1.38488 1.39175 1.39297 1.39478 1.40264 1.40632 1.40989 1.41272 1.41783 1.41907 1.42132 1.42977 1.43387 1.44440 1.44562 1.45249 1.45566 1.46008 1.46884 1.47272 1.47901 1.48806 1.49137 1.49512 1.50325 1.50746 1.51560 1.52015 1.52627 1.52677 1.53081 1.53157 1.53825 1.54369 1.54701 1.55131 1.55547 1.55616 1.55797 1.56092 1.56255 1.56572 1.56856 1.57082 1.57491 1.57638 1.58409 1.58589 1.58969 1.59245 1.59728 1.60142 1.60501 1.61019 1.61140 1.61403 1.61836 1.62051 1.62350 1.63414 1.63869 1.64470 1.64534 1.64668 1.65404 1.65560 1.65933 1.66306 1.66702 1.66993 1.67680 1.68186 1.68625 1.68992 1.69417 1.69540 1.70201 1.70746 1.71195 1.71893 1.72048 1.72364 1.72720 1.72968 1.73374 1.73743 1.74189 1.74568 1.75050 1.75228 1.75761 1.76138 1.76597 1.76886 1.77090 1.77464 1.77825 1.77890 1.78145 1.78740 1.79004 1.79281 1.79557 1.79670 1.80241 1.80728 1.81052 1.81405 1.81799 1.82038 1.82427 1.82989 1.83057 1.83815 1.83833 1.84387 1.84872 1.85079 1.85334 1.86286 1.86609 1.86961 1.87283 1.87703 1.88173 1.88340 1.89459 1.89911 1.90165 1.90846 1.91119 1.91655 1.91996 1.92578 1.92832 1.93158 1.94251 1.95071 1.95599 1.96271 1.96670 1.97326 1.97689 1.98248 1.99105 1.99727 2.00142 2.00721 2.01037 2.01667 2.02646 2.03069 2.03211 2.03468 2.04059 2.04662 2.05248 2.05728 2.06415 2.06517 2.06690 2.07165 2.07983 2.08576 2.08959 2.09435 2.09702 2.10192 2.11216 2.11496 2.11697 2.12100 2.12881 2.13311 2.13892 2.14341 2.14686 2.15264 2.16172 2.16556 2.17202 2.17642 2.18339 2.18684 2.18775 2.19119 2.19498 2.20150 2.20312 2.21032 2.21766 2.21997 2.22496 2.22775 2.23218 2.23691 2.23947 2.24176 2.24556 2.25122 2.25232 2.25566 2.25836 2.25893 2.26856 2.27278 2.27674 2.27936 2.28288 2.28429 2.28712 2.29350 2.30052 2.30205 2.30470 2.30696 2.31229 2.31830 2.32580 2.32676 2.33159 2.33650 2.34381 2.34598 2.34910 2.35372 2.35600 2.35937 2.36144 2.36553 2.36814 2.37309 2.37521 2.38178 2.38777 2.39555 2.39651 2.40494 2.40744 2.41120 2.41455 2.42435 2.43723 2.44298 2.44763 2.45288 2.45514 2.46197 2.46787 2.47350 2.47737 2.47991 2.49097 2.49187 2.50220 2.50669 2.51036 2.52023 2.52478 2.53575 2.53890 2.54309 2.54638 2.55525 2.56078 2.56490 2.56786 2.58686 2.58995 2.59373 2.59933 2.60168 2.60963 2.61591 2.62216 2.62458 2.62817 2.63086 2.63698 2.63796 2.64388 2.65009 2.65866 2.65940 2.66043 2.66165 2.66220 2.67146 2.67297 2.67940 2.68355 2.68935 2.69276 2.69574 2.69854 2.70254 2.70474 2.70953 2.71137 2.71553 2.71997 2.72667 2.72772 2.73556 2.73929 2.74175 2.74486 2.74730 2.75006 2.75396 2.75803 2.76237 2.76703 2.77403 2.77664 2.77945 2.78118 2.78508 2.79056 2.79482 2.79617 2.79895 2.80268 2.80622 2.81022 2.81329 2.81575 2.82044 2.82362 2.82702 2.83716 2.84065 2.84465 2.84955 2.85217 2.85962 2.86067 2.86768 2.86795 2.87118 2.87539 2.87928 2.88233 2.88469 2.88901 2.89170 2.89352 2.89659 2.90085 2.90448 2.90692 2.91437 2.91748 2.91991 2.92285 2.92896 2.93332 2.93734 2.94188 2.94286 2.94501 2.95502 2.95637 2.96374 2.97120 2.97416 2.97560 2.98043 2.98432 2.98720 2.99304 2.99524 2.99810 3.00854 3.01361 3.01695 3.01834 3.02252 3.02741 3.03203 3.04156 3.04410 3.04701 3.05334 3.05572 3.06335 3.06767 3.06852 3.07098 3.07639 3.07839 3.07996 3.08426 3.09366 3.09603 3.09736 3.10566 3.11053 3.11147 3.11683 3.12116 3.12522 3.12793 3.12881 3.13667 3.14197 3.14455 3.15060 3.15540 3.15728 3.15911 3.16401 3.16661 3.17228 3.17477 3.17845 3.18159 3.18678 3.19388 3.19919 3.20260 3.20462 3.20812 3.20921 3.21166 3.21604 3.21895 3.22742 3.22771 3.23226 3.23499 3.23630 3.23686 3.23951 3.24107 3.24421 3.24577 3.24991 3.25429 3.25678 3.26072 3.26443 3.26778 3.27229 3.27498 3.28186 3.28777 3.29278 3.29635 3.29722 3.30224 3.30653 3.31350 3.31485 3.31902 3.32539 3.32934 3.33540 3.33905 3.33996 3.34524 3.34984 3.35088 3.35583 3.35825 3.36340 3.37414 3.37698 3.38200 3.38535 3.38891 3.39066 3.39524 3.39850 3.40324 3.40694 3.41027 3.41247 3.41594 3.42917 3.43215 3.43334 3.43667 3.44140 3.44502 3.44790 3.45207 3.45435 3.45881 3.45972 3.46451 3.46741 3.47309 3.47581 3.48031 3.48605 3.48939 3.48994 3.49398 3.49790 3.50496 3.51099 3.51230 3.51770 3.52171 3.52512 3.52730 3.52965 3.53393 3.54218 3.54824 3.55049 3.55287 3.55658 3.56250 3.56596 3.57008 3.57354 3.57662 3.58061 3.58291 3.59007 3.59102 3.60326 3.60445 3.61187 3.61336 3.61500 3.61896 3.62856 3.63402 3.63621 3.63743 3.64173 3.64645 3.64984 3.65310 3.65981 3.66405 3.67026 3.67290 3.67358 3.67707 3.68194 3.68679 3.68989 3.69279 3.69516 3.69748 3.70533 3.70826 3.72106 3.72190 3.73359 3.73904 3.74029 3.74543 3.75569 3.76126 3.76741 3.77685 3.78391 3.79248 3.79872 3.80000 3.80856 3.81382 3.81717 3.82193 3.83748 3.84112 3.85399 3.86193 3.86527 3.87876 3.88387 3.89601 3.89772 3.90832 3.91693 3.92103 3.92523 3.93422 3.94416 3.94628 3.95180 3.95269 3.95615 3.96668 3.97636 3.98230 3.98713 3.99200 3.99326 4.00251 4.00594 4.01764 4.02883 4.04208 4.04982 4.05460 4.06506 4.08219 4.08450 4.08674 4.09823 4.10173 4.11667 4.12264 4.12760 4.13253 4.14596 4.14820 4.16146 4.16506 4.17456 4.18033 4.18637 4.19071 4.19709 4.20033 4.20303 4.21197 4.21714 4.21826 4.23094 4.24402 4.25214 4.25923 4.26284 4.26352 4.27004 4.27211 4.28739 4.28995 4.29580 4.30147 4.30429 4.30851 4.31819 4.32523 4.33059 4.34023 4.34629 4.35339 4.36338 4.36652 4.37340 4.38018 4.38220 4.38892 4.39236 4.39683 4.39807 4.40124 4.40453 4.41662 4.42488 4.42958 4.44746 4.45137 4.45814 4.46337 4.47091 4.47665 4.48174 4.48417 4.48954 4.49884 4.50664 4.51232 4.52723 4.53190 4.53828 4.53884 4.55279 4.56076 4.57257 4.58320 4.60088 4.60270 4.61999 4.62689 4.64099 4.64863 4.66455 4.67582 4.67756 4.69615 4.69853 4.70582 4.71332 4.73094 4.73909 4.74466 4.75298 4.79720 4.81021 4.81770 4.84661 4.85489 4.86306 4.87066 4.87868 4.89721 4.91172 4.91789 4.93071 4.95587 4.96835 4.98895 4.99389 4.99601 5.00515 5.00877 5.01434 5.02296 5.05176 5.06280 5.07837 5.07999 5.08956 5.09744 5.11080 5.13553 5.14523 5.15198 5.15995 5.18215 5.19151 5.20766 5.21782 5.23123 5.24290 5.24653 5.24835 5.26100 5.26679 5.27860 5.28787 5.29591 5.30779 5.31857 5.32789 5.33937 5.34401 5.34644 5.35037 5.35952 5.39112 5.40332 5.41557 5.42332 5.45069 5.46470 5.47749 5.51167 5.51543 5.51946 5.52251 5.53353 5.54835 5.56559 5.56674 5.58287 5.58952 5.61165 5.63233 5.64635 5.67330 5.73673 5.75637 5.79099 5.81232 5.86497 5.86994 5.89729 5.90712 5.91848 5.93020 5.94074 5.96958 5.99746 6.01744 6.12173 6.15348 6.20503 6.37684 6.44601 6.45613 6.78639 6.79624 6.97371 9.28924 9.46924 9.56015 11.04251 11.14650 11.24666 20.60340 22.13680 22.30071 22.36551 22.44019 22.46027 22.65927 22.67880 22.69383 22.69928 22.70601 22.71902 22.73940 22.79327 22.81034 22.83352 22.84666 22.89907 22.96904 22.97392 23.00417 23.01563 23.07191 23.10824 23.13076 23.18398 23.23136 23.24287 23.28265 23.47586 23.59256 24.15462 25.70225 29.47141 32.77496 32.89677 32.94011 43.79892 97.08130</array>
<module cmlx:templateRef="l601.state">
<scalar dataType="xsd:string" dictRef="g:l601.state">1-A.</scalar>
</module>
<module cmlx:templateRef="mulliken">
<module cmlx:templateRef="l601.mullik">
<scalar dataType="xsd:string" dictRef="g:title">Mulliken charges:</scalar>
<scalar dataType="xsd:integer" dictRef="cc:serial">1</scalar>
<list cmlx:templateRef="row">
<array dataType="xsd:integer" dictRef="cc:serial" size="67">1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67</array>
<array dataType="xsd:string" dictRef="cc:elementType" size="67">Ru Cl S O N N N C H H H C H H H C H C H C H C H C C H H C H H C C H C H C H C H C H H C C H C H C C H C H C C H C H C H C C H C H C C C</array>
<array dataType="xsd:double" dictRef="x:charge" size="67">0.255407 -0.661416 0.519173 -0.638869 -0.089892 -0.028795 -0.175114 -0.395967 0.192879 0.195173 0.197601 -0.393533 0.191637 0.197901 0.196756 -0.039217 0.212606 -0.137784 0.186914 -0.105495 0.187994 -0.261184 0.185363 0.113997 -0.094399 0.197105 0.197206 -0.197658 0.218106 0.201878 0.188111 -0.284841 0.192344 -0.091319 0.186238 -0.161964 0.183767 -0.025334 0.190193 -0.298005 0.223666 0.219834 0.251801 -0.262739 0.173307 -0.205821 0.157906 0.070327 -0.206148 0.156997 -0.238493 0.157194 0.105181 -0.198262 0.160929 -0.129643 0.164382 -0.205220 0.160746 0.110023 -0.272183 0.152998 -0.323294 0.190317 0.010667 0.071672 -0.003707</array>
</list>
<scalar dataType="xsd:double" dictRef="x:chargesum">1.00000</scalar>
</module>
</module>
</module>
</property>
<property>
<module cmlx:templateRef="l601.mullik">
<scalar dataType="xsd:string" dictRef="g:title">Mulliken charges with hydrogens summed into heavy atoms:</scalar>
<scalar dataType="xsd:integer" dictRef="cc:serial">1</scalar>
<list cmlx:templateRef="row">
<array dataType="xsd:integer" dictRef="cc:serial" size="38">1 2 3 4 5 6 7 8 12 16 18 20 22 24 25 28 31 32 34 36 38 40 43 44 46 48 49 51 53 54 56 58 60 61 63 65 66 67</array>
<array dataType="xsd:string" dictRef="cc:elementType" size="38">Ru Cl S O N N N C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C</array>
<array dataType="xsd:double" dictRef="x:charge" size="38">0.255407 -0.661416 0.519173 -0.638869 -0.089892 -0.028795 -0.175114 0.189687 0.192761 0.173390 0.049130 0.082499 -0.075821 0.113997 0.299912 0.222326 0.188111 -0.092497 0.094919 0.021803 0.164859 0.145494 0.251801 -0.089432 -0.047915 0.070327 -0.049151 -0.081300 0.105181 -0.037334 0.034739 -0.044474 0.110023 -0.119185 -0.132977 0.010667 0.071672 -0.003707</array>
</list>
<scalar dataType="xsd:double" dictRef="x:chargesum">1.00000</scalar>
</module>
</property>
<property>
<module cmlx:templateRef="l716.dipole">
<array cmlx:templateRef="dipole" dataType="xsd:double" dictRef="x:d" size="3">-1.57033886e+00 4.34119046e-01 2.69720932e+00</array>
</module>
</property>
<property>
<module cmlx:templateRef="l716.polarizability">
<array cmlx:templateRef="polariz" dataType="xsd:double" dictRef="cc:polarizability" size="6">8.51634080e+02 -5.52013978e+01 7.88332573e+02 6.36584172e+01 -8.28915983e+01 5.29528844e+02</array>
</module>
</property>
<property dictRef="cc:frequencies">
<module cmlx:templateRef="l716.forcematrix">
<module cmlx:templateRef="lowfreq">
<array cmlx:templateRef="lowfreq" dataType="xsd:double" dictRef="g:1716.lowfreq" size="9">-135.6028 -0.0008 0.0010 0.0023 20.7272 22.9049 28.7712 47.2495 49.9870</array>
</module>
<module cmlx:templateRef="l716.freq.chunkx" dictRef="cc:vibrations" id="default">
<array dataType="xsd:integer" dictRef="x:serial" size="195">1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195</array>
<array dataType="xsd:string" delimiter="|" dictRef="cc:irrep" size="195">A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A|A</array>
<array dataType="xsd:double" dictRef="cc:frequency" size="195">-135.5506 43.3466 47.2532 64.6850 69.3925 81.5728 88.7569 94.0968 107.7861 122.1660 124.9648 130.3902 140.8823 150.3016 152.5121 161.3915 167.5637 196.8674 202.5805 220.3920 229.9006 240.2162 249.8284 263.6907 279.1144 295.9982 302.9075 305.7117 309.8599 320.3550 331.4396 344.1847 350.5646 358.3903 370.4404 386.1234 408.2657 416.8998 434.6073 442.5727 466.0703 467.6359 473.7439 484.8492 501.7337 503.8899 521.8837 528.6770 536.1189 539.9413 547.3150 551.8147 577.4030 590.2355 600.5866 635.8589 637.1049 660.6670 671.8948 675.9731 676.8413 689.1517 702.8668 724.2870 744.7997 762.0840 775.9596 777.7575 796.1507 823.0909 825.8471 829.4101 835.8705 844.5082 856.1254 867.7215 875.7752 895.3642 909.9335 914.0503 920.5261 948.0439 950.1027 955.4999 961.3929 977.3944 981.7522 985.4030 987.7739 999.2609 1019.8957 1028.8833 1031.8781 1035.0353 1039.2908 1040.7184 1044.2670 1044.9117 1048.3550 1064.5302 1066.5880 1066.7245 1067.1587 1070.8800 1076.6476 1086.8596 1094.5388 1105.7372 1121.5001 1133.8406 1136.6160 1137.1199 1151.7572 1171.2062 1173.6245 1191.2387 1201.6127 1206.4345 1232.8674 1235.9545 1237.9848 1252.5489 1253.6610 1255.8569 1272.3055 1278.0686 1284.5865 1291.5055 1311.1236 1319.7917 1339.5046 1342.0154 1349.8154 1355.4359 1361.6113 1367.0232 1394.1068 1406.1980 1412.5667 1430.5261 1435.1699 1438.3153 1448.4570 1451.0948 1453.8156 1463.1276 1468.1345 1472.5869 1483.9155 1484.9621 1491.8961 1498.6368 1509.4805 1514.1866 1519.9554 1526.3688 1548.5640 1577.1429 1601.7765 1605.6028 1623.7656 1631.8080 1639.7693 1648.8262 1651.2893 1671.1475 2989.7535 2992.2214 3005.9933 3018.8765 3034.4521 3059.2546 3070.9207 3083.1359 3099.1430 3100.3661 3108.4704 3112.8678 3116.1745 3117.2754 3117.6010 3117.7566 3123.6573 3132.6946 3133.2505 3133.8456 3133.9487 3137.6534 3138.2875 3144.1102 3148.4613 3149.1031 3153.2637 3156.3832 3157.4755</array>
<array dataType="xsd:double" dictRef="cc:redmass" size="195">11.9183 6.1236 6.4515 5.7817 5.7268 6.9388 3.6292 6.8717 6.4998 5.9181 6.1914 7.3931 6.8626 4.5775 5.4546 5.6091 4.4602 6.6078 5.4317 5.6748 5.2773 6.5194 4.1790 6.0667 7.0412 4.7634 4.8524 3.8127 4.9065 4.3839 1.1161 3.9354 3.2680 1.0268 3.7233 3.7403 7.2788 3.9328 3.9736 3.2692 3.9000 3.9363 3.0798 3.4667 5.0697 3.1958 3.4475 4.8300 3.3953 3.8756 3.7740 3.9158 3.8446 4.2812 4.8431 4.7323 5.0610 5.6940 6.5160 4.9922 6.3555 4.8058 7.0983 4.4240 3.8077 3.3796 3.7070 3.8310 3.2783 1.3012 1.3194 1.3126 3.9435 3.3481 3.8066 1.4710 3.0961 2.2062 3.0891 4.6364 1.6640 1.2609 1.2219 1.3479 2.3108 1.3999 1.3247 4.7908 2.4613 1.8971 1.8278 1.4091 1.3708 1.9672 3.5634 1.3165 3.3480 1.5827 1.3377 2.0310 1.5383 1.4174 2.1286 1.7180 2.4992 2.4680 2.2727 2.6046 2.2634 1.7139 2.2546 1.6345 1.8901 1.5113 1.5356 1.6903 1.5722 1.3935 2.2682 2.1251 2.6683 2.0622 2.2846 2.5727 1.4750 1.7154 1.6464 1.7608 1.6072 1.5265 1.7366 1.1812 2.9170 1.8061 1.1751 2.0251 1.3927 4.6604 1.4239 1.3925 2.6813 1.0513 1.0448 1.6529 1.0506 2.5470 1.0486 1.1240 1.9422 1.9858 2.5193 1.1212 2.3965 1.5651 2.2978 2.0555 2.8693 4.1616 5.2678 4.9573 5.6224 5.9534 5.4918 4.9851 5.4617 6.6157 1.0281 1.0280 1.0595 1.0645 1.0620 1.1068 1.1008 1.1066 1.1077 1.1074 1.1087 1.1088 1.0877 1.0890 1.0900 1.0883 1.0919 1.0897 1.0963 1.0898 1.0964 1.0975 1.0925 1.0921 1.0956 1.0958 1.0925 1.0995 1.0994</array>
<array dataType="xsd:double" dictRef="cc:forceconst" size="195">0.1290 0.0068 0.0085 0.0143 0.0162 0.0272 0.0168 0.0358 0.0445 0.0520 0.0570 0.0741 0.0803 0.0609 0.0748 0.0861 0.0738 0.1509 0.1313 0.1624 0.1643 0.2216 0.1537 0.2485 0.3232 0.2459 0.2623 0.2099 0.2776 0.2651 0.0722 0.2747 0.2366 0.0777 0.3010 0.3286 0.7148 0.4027 0.4422 0.3773 0.4991 0.5072 0.4072 0.4802 0.7519 0.4781 0.5532 0.7954 0.5750 0.6657 0.6661 0.7025 0.7552 0.8788 1.0293 1.1273 1.2103 1.4643 1.7331 1.3440 1.7154 1.3448 2.0661 1.3674 1.2445 1.1564 1.3151 1.3654 1.2243 0.5194 0.5302 0.5320 1.6233 1.4069 1.6439 0.6526 1.3991 1.0421 1.5070 2.2823 0.8307 0.6677 0.6499 0.7250 1.2584 0.7880 0.7522 2.7409 1.4149 1.1161 1.1202 0.8789 0.8600 1.2417 2.2677 0.8401 2.1511 1.0181 0.8662 1.3561 1.0310 0.9503 1.4283 1.1608 1.7069 1.7177 1.6042 1.8762 1.6773 1.2982 1.7161 1.2452 1.4773 1.2215 1.2462 1.4132 1.3375 1.1950 2.0313 1.9126 2.4095 1.9062 2.1156 2.3906 1.4068 1.6510 1.6007 1.7304 1.6278 1.5666 1.8359 1.2534 3.1313 1.9550 1.2836 2.2297 1.5948 5.4295 1.6740 1.6790 3.2539 1.2814 1.2915 2.0507 1.3083 3.2125 1.3317 1.4361 2.5198 2.5799 3.3038 1.4836 3.2172 2.1143 3.1276 2.8215 4.0540 6.0989 7.9631 7.5295 8.7341 9.3402 8.7002 7.9849 8.7746 10.8856 5.4143 5.4231 5.6406 5.7159 5.7615 6.1034 6.1161 6.1976 6.2685 6.2716 6.3121 6.3300 6.2229 6.2352 6.2417 6.2326 6.2771 6.3010 6.3409 6.3059 6.3443 6.3663 6.3398 6.3605 6.3987 6.4028 6.4003 6.4539 6.4578</array>
<array dataType="xsd:double" dictRef="cc:irintensity" size="195">9.5706 0.6846 2.2534 1.0330 0.7769 0.3176 10.7629 4.4227 0.9973 0.6384 2.2406 7.9063 4.8843 1.5021 0.8379 5.1929 1.3925 22.0372 5.2455 11.1854 2.5325 37.6508 12.0934 6.3145 31.8330 5.1095 4.7974 4.6795 10.9708 5.9576 1.3216 5.7738 10.2652 0.1474 15.9246 0.5783 0.3239 40.0072 0.3580 1.5501 3.2628 4.4618 11.4356 6.1066 4.1357 1.8940 3.6460 8.2082 4.6046 10.1308 8.7890 2.9284 3.0616 1.3226 2.2502 1.9642 13.4100 4.9027 5.8015 4.6299 1.5040 3.3993 0.1411 2.2004 40.7135 5.5155 8.7057 26.9070 8.0897 39.4365 96.0631 51.0538 24.6510 13.5979 10.8094 12.1924 48.9242 32.8632 56.1328 11.9521 174.5433 2.5670 5.0666 8.8755 22.5967 2.0630 19.4583 5.5250 58.8150 70.4471 11.4237 10.6877 1.0267 5.1907 0.8614 2.4002 4.5102 0.7169 0.4062 203.2562 40.1066 26.4729 22.8444 125.7238 0.3389 2.8843 12.3787 20.1300 3.4911 1.0460 0.9548 7.3956 4.9680 10.9291 30.6413 0.4413 4.7910 6.9673 1.3668 0.6712 7.9777 0.5180 3.9760 13.1624 5.9795 5.7238 5.7299 7.2861 14.6233 26.4758 4.1953 3.9727 0.9836 6.4642 9.4740 7.8904 42.0203 5.3706 10.8269 14.1065 2.4250 16.1711 20.8270 3.0530 0.4601 5.6384 19.8868 44.5892 21.9210 43.4827 5.8468 18.3596 89.9072 22.0983 5.6359 61.2078 1.8098 0.5643 14.1188 14.1214 12.3789 21.0303 10.8868 32.4638 25.0045 3.4581 3.8900 2.5805 22.3095 5.4387 11.7157 5.5122 2.7526 8.0676 0.2391 0.1740 2.6037 7.1572 0.8184 10.8948 3.9615 1.0623 15.7187 2.4127 9.6352 0.7490 34.6451 29.9428 1.5059 14.0656 0.7603 2.0089 17.7073 9.7532 0.8240</array>
<array dataType="xsd:double" dictRef="cc:displacement" size="39195">0.16 -0.03 -0.10 0.05 -0.03 -0.04 -0.28 0.06 0.13 -0.22 0.05 0.10 -0.09 -0.06 -0.06 0.04 0.07 0.08 0.07 0.01 -0.03 -0.08 0.06 0.19 -0.01 0.02 0.16 -0.08 0.09 0.29 -0.09 0.05 0.16 -0.24 0.02 -0.06 -0.17 0.04 -0.13 -0.19 0.03 -0.02 -0.33 -0.01 -0.11 -0.09 -0.07 -0.06 -0.10 -0.05 -0.07 -0.09 -0.08 -0.02 -0.10 -0.10 -0.03 -0.10 -0.08 0.02 -0.11 -0.09 0.03 -0.10 -0.06 0.03 -0.09 -0.07 0.05 -0.09 -0.04 0.00 -0.03 0.04 0.06 -0.01 0.02 0.05 -0.08 0.10 0.11 0.04 0.05 0.07 0.04 0.05 0.08 0.02 0.02 0.08 0.05 0.03 0.03 0.03 0.03 0.04 0.02 0.03 0.07 0.02 0.02 0.02 0.01 0.02 0.03 0.03 0.02 -0.00 0.03 0.02 -0.01 0.06 0.01 -0.03 0.07 0.01 -0.06 0.01 0.06 0.07 0.01 0.07 0.08 -0.01 0.06 0.06 0.02 0.03 0.04 0.02 0.03 0.03 0.02 0.03 0.04 0.02 0.01 0.01 0.03 0.01 0.01 0.02 0.00 0.00 0.02 -0.00 -0.00 0.02 -0.00 -0.00 0.02 -0.01 -0.00 0.02 -0.01 -0.01 0.01 -0.01 -0.00 0.01 -0.01 -0.00 0.01 -0.01 -0.00 0.00 -0.01 -0.00 0.00 -0.01 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.01 0.00 -0.00 0.01 0.00 0.00 0.02 0.01 -0.00 0.02 0.02 0.01 0.02 0.02 0.01 0.01 0.00 0.01 -0.00 -0.00 0.02 0.01 -0.00 -0.02 -0.02 -0.01 0.10 -0.04 0.01 0.14 -0.04 0.02 -0.05 0.00 -0.00 -0.02 0.08 0.01 0.05 0.05 0.02 0.15 -0.04 0.03 0.17 -0.04 0.01 0.15 -0.03 0.05 0.15 -0.04 0.02 0.09 -0.09 -0.04 0.13 -0.11 -0.05 0.08 -0.10 -0.05 0.07 -0.10 -0.05 -0.06 -0.03 -0.01 -0.04 -0.05 -0.02 -0.09 -0.05 0.00 -0.10 -0.07 -0.00 -0.12 -0.03 0.02 -0.14 -0.04 0.03 -0.11 0.01 0.03 -0.13 0.03 0.04 -0.08 0.03 0.02 -0.07 0.07 0.02 -0.08 0.07 0.02 -0.09 0.10 0.02 0.01 0.10 0.01 0.01 0.12 -0.00 0.00 0.09 0.01 0.04 0.09 0.02 0.07 0.11 0.03 0.06 0.13 0.03 0.09 0.10 0.03 0.11 0.11 0.04 0.10 0.07 0.03 0.12 0.06 0.04 0.08 0.04 0.03 0.09 0.02 0.03 -0.03 0.10 0.00 -0.02 0.12 0.01 -0.04 0.10 -0.02 -0.02 0.06 0.01 0.01 0.07 0.05 0.03 0.10 0.07 0.02 0.03 0.06 0.05 0.04 0.09 0.00 -0.01 0.04 0.02 -0.05 0.05 0.04 -0.05 0.07 -0.00 -0.09 0.02 0.01 -0.11 0.03 -0.04 -0.09 -0.02 -0.06 -0.13 -0.05 -0.05 -0.16 -0.04 -0.09 -0.14 -0.08 -0.11 -0.17 -0.10 -0.11 -0.10 -0.09 -0.13 -0.10 -0.11 -0.09 -0.06 -0.07 -0.10 -0.02 -0.07 -0.13 -0.02 -0.09 -0.08 0.02 -0.05 -0.09 0.05 -0.05 -0.04 0.02 -0.01 -0.03 -0.01 -0.00 -0.05 -0.06 -0.03 0.00 -0.00 0.02 -0.08 -0.01 0.04 -0.04 -0.00 0.03 -0.05 -0.00 0.03 0.05 0.01 0.01 0.01 0.01 -0.06 0.10 -0.01 -0.06 -0.06 -0.00 0.03 -0.07 -0.00 0.03 -0.06 -0.01 0.02 -0.06 -0.00 0.03 -0.05 0.00 0.06 -0.05 0.00 0.06 -0.05 0.00 0.05 -0.04 0.00 0.06 0.06 0.02 0.03 0.06 0.02 0.06 0.08 0.03 0.02 0.09 0.04 0.04 0.08 0.03 -0.01 0.09 0.04 -0.02 0.06 0.03 -0.04 0.05 0.03 -0.07 0.04 0.02 -0.03 0.01 0.01 -0.06 -0.02 0.01 -0.06 0.02 0.02 -0.09 0.05 0.03 -0.07 0.05 0.07 -0.09 0.04 0.01 -0.06 0.10 0.01 -0.08 0.15 0.01 -0.12 0.14 0.03 -0.13 0.19 -0.01 -0.14 0.22 -0.01 -0.16 0.19 -0.04 -0.12 0.22 -0.06 -0.13 0.14 -0.04 -0.08 0.14 -0.05 -0.06 -0.02 0.01 -0.08 -0.03 0.03 -0.07 -0.04 0.01 -0.09 -0.02 -0.00 -0.09 -0.00 -0.01 -0.08 0.01 -0.00 -0.10 -0.00 -0.01 -0.04 0.01 -0.01 -0.03 -0.02 -0.01 0.00 -0.03 -0.01 0.07 -0.01 -0.01 0.07 -0.05 -0.01 0.12 -0.05 -0.00 0.16 -0.06 -0.00 0.12 -0.09 0.00 0.17 -0.09 0.00 0.21 -0.10 0.00 0.17 -0.12 0.01 0.21 -0.10 0.00 0.11 -0.11 0.00 0.10 -0.08 -0.00 0.05 -0.07 -0.01 -0.03 -0.08 -0.01 -0.04 -0.05 -0.01 -0.08 -0.05 -0.01 -0.13 -0.03 -0.01 -0.06 -0.04 -0.01 -0.01 -0.06 -0.01 0.05 0.02 0.00 -0.03 0.02 0.03 -0.01 0.03 0.03 -0.04 0.04 0.03 -0.04 0.02 -0.05 0.03 0.00 0.01 -0.01 -0.00 0.02 -0.01 0.08 0.03 -0.02 0.10 0.03 -0.04 0.08 0.03 0.00 0.09 0.03 -0.02 0.04 0.01 -0.09 0.06 0.01 -0.10 0.04 0.01 -0.09 0.01 0.01 -0.10 0.05 -0.11 0.08 0.06 -0.11 0.06 0.07 -0.15 0.15 0.10 -0.19 0.18 0.06 -0.14 0.16 0.07 -0.18 0.21 0.03 -0.09 0.12 0.02 -0.08 0.13 0.01 -0.04 0.05 -0.01 0.01 0.01 -0.04 0.02 0.03 -0.01 0.01 0.00 0.01 0.01 -0.01 0.01 -0.01 -0.03 0.04 0.02 -0.01 -0.01 0.02 0.01 -0.03 0.04 0.06 -0.04 0.04 0.07 -0.05 0.05 0.08 -0.07 0.06 0.11 -0.05 0.05 0.06 -0.06 0.06 0.08 -0.02 0.03 0.02 -0.01 0.03 -0.00 -0.02 0.02 -0.03 -0.04 0.03 -0.01 -0.03 0.02 -0.03 -0.02 0.01 -0.06 -0.01 -0.01 -0.11 -0.01 -0.02 -0.12 0.00 -0.03 -0.16 0.01 -0.05 -0.20 -0.01 -0.03 -0.13 -0.00 -0.05 -0.16 0.01 -0.07 -0.22 -0.01 -0.03 -0.11 -0.01 -0.04 -0.12 -0.04 -0.00 -0.01 -0.05 0.02 0.06 -0.05 0.01 0.06 -0.07 0.04 0.15 -0.09 0.06 0.20 -0.08 0.05 0.15 -0.09 0.07 0.20 -0.06 0.03 0.08 -0.06 0.04 0.08 -0.07 0.05 0.12 -0.05 0.03 0.02 -0.05 0.03 0.03 -0.03 0.01 -0.04 -0.02 -0.01 -0.06 -0.04 0.01 0.00 0.01 0.00 -0.04 0.02 -0.03 -0.08 -0.02 -0.05 0.02 -0.01 -0.03 0.06 0.04 -0.00 -0.02 0.02 -0.01 -0.06 -0.03 0.04 0.01 -0.05 -0.09 0.01 -0.06 -0.10 0.03 -0.05 -0.09 0.01 -0.05 -0.10 -0.01 -0.02 -0.05 0.03 -0.03 -0.05 0.04 -0.02 -0.05 0.03 -0.01 -0.04 0.04 0.08 -0.02 0.03 0.07 -0.01 0.03 0.13 -0.05 0.08 0.15 -0.06 0.12 0.14 -0.06 0.08 0.18 -0.08 0.12 0.11 -0.04 0.03 0.12 -0.05 0.03 0.06 -0.01 -0.02 0.03 -0.01 -0.05 -0.00 -0.01 -0.05 0.03 -0.01 -0.07 0.03 -0.01 -0.06 0.03 -0.06 -0.09 0.08 0.02 -0.07 -0.02 0.02 -0.01 -0.05 0.03 0.03 -0.04 0.01 0.02 -0.10 0.06 0.10 -0.12 0.07 0.13 -0.11 0.09 0.13 -0.14 0.11 0.17 -0.08 0.07 0.08 -0.09 0.08 0.09 0.01 0.00 -0.07 0.00 0.01 -0.06 0.01 0.00 -0.08 0.00 0.01 -0.05 -0.00 0.03 0.01 -0.00 0.03 0.00 -0.01 0.05 0.08 -0.02 0.07 0.12 -0.02 0.05 0.09 -0.03 0.07 0.18 -0.04 0.09 0.24 -0.04 0.06 0.17 -0.04 0.08 0.23 -0.03 0.03 0.07 -0.03 0.02 0.05 -0.03 0.03 0.10 -0.02 -0.01 -0.04 -0.02 -0.02 -0.05 -0.01 -0.02 -0.10 -0.00 -0.04 -0.16 -0.01 -0.01 -0.09 0.00 -0.02 -0.15 0.01 -0.04 -0.21 0.00 -0.01 -0.14 0.01 -0.02 -0.18 -0.00 0.01 -0.06 -0.01 0.02 0.01 -0.01 0.01 -0.00 0.05 -0.02 0.04 0.20 0.03 0.03 0.05 0.04 0.03 0.00 0.05 0.02 0.01 0.00 0.01 0.03 -0.04 0.06 -0.00 -0.05 0.05 0.14 0.03 0.07 0.17 0.04 0.04 0.14 0.02 0.12 0.17 0.03 0.06 0.09 0.09 -0.05 0.10 0.11 -0.08 0.14 0.09 -0.04 0.04 0.10 -0.08 -0.04 0.05 -0.07 -0.05 0.06 -0.08 -0.08 0.08 -0.12 -0.12 0.12 -0.18 -0.06 0.07 -0.10 -0.09 0.09 -0.14 -0.01 0.02 -0.02 0.00 0.01 -0.00 0.03 -0.01 0.03 0.07 -0.04 0.09 0.13 -0.00 0.09 0.07 -0.08 0.14 0.04 -0.08 0.03 0.04 -0.11 0.01 0.07 -0.09 0.04 0.01 -0.08 0.03 0.00 -0.10 0.01 0.01 -0.12 -0.00 -0.02 -0.08 0.02 -0.03 -0.09 0.02 -0.04 -0.05 0.05 -0.06 -0.04 0.05 -0.03 -0.03 0.05 -0.04 -0.01 0.06 -0.05 -0.02 0.00 -0.10 -0.01 0.05 -0.06 -0.02 -0.00 -0.06 -0.02 -0.07 -0.08 -0.01 -0.06 -0.09 -0.02 -0.05 -0.09 -0.00 -0.06 -0.09 0.00 -0.05 -0.08 0.01 -0.04 -0.10 0.03 0.00 -0.10 0.04 0.02 -0.10 0.05 0.04 -0.11 0.06 0.07 -0.09 0.04 0.02 -0.09 0.05 0.05 -0.10 0.07 0.10 -0.08 0.05 0.03 -0.09 0.06 0.06 -0.07 0.02 -0.03 -0.06 0.01 -0.05 -0.07 0.00 -0.07 -0.05 -0.03 -0.13 -0.04 -0.04 -0.16 -0.05 -0.03 -0.14 -0.04 -0.04 -0.18 -0.06 -0.02 -0.09 -0.07 0.00 -0.07 -0.07 0.01 -0.04 0.02 -0.02 -0.01 0.06 -0.00 -0.01 0.03 0.02 -0.02 0.11 -0.00 -0.08 0.00 -0.02 -0.01 0.01 -0.00 -0.00 0.02 -0.01 0.01 -0.23 0.13 -0.12 -0.30 0.15 -0.06 -0.21 0.15 -0.29 -0.30 0.15 -0.06 -0.02 0.04 0.27 -0.13 0.06 0.32 -0.07 0.05 0.29 0.12 0.02 0.35 -0.01 -0.04 -0.03 0.00 -0.05 -0.04 -0.04 -0.04 -0.04 -0.05 -0.05 -0.05 -0.06 -0.02 -0.03 -0.08 -0.02 -0.04 -0.04 -0.01 -0.02 -0.06 0.00 -0.01 -0.01 -0.01 -0.01 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.01 -0.00 0.01 0.01 0.00 -0.00 0.01 -0.00 -0.01 0.02 0.01 -0.01 0.01 0.01 0.02 0.00 0.02 0.04 -0.00 0.03 0.05 0.00 0.03 0.06 -0.00 0.04 0.09 0.01 0.01 0.05 0.01 0.02 0.07 0.02 -0.00 0.02 0.03 -0.02 0.01 0.00 0.01 -0.01 -0.00 0.02 -0.00 0.00 0.01 -0.02 0.00 0.01 -0.01 0.00 0.01 -0.01 0.01 0.01 -0.01 0.01 0.00 -0.01 0.01 0.00 -0.01 0.00 -0.00 -0.01 0.00 -0.01 -0.00 0.01 -0.01 -0.00 -0.00 -0.01 0.01 0.00 -0.01 0.01 -0.01 -0.01 0.01 -0.02 -0.01 0.02 -0.01 -0.01 0.03 -0.02 -0.01 0.02 -0.03 -0.01 0.03 -0.02 -0.00 0.01 -0.03 -0.00 0.01 -0.02 -0.00 0.00 -0.02 0.00 -0.01 -0.02 0.00 -0.01 -0.01 0.01 -0.01 -0.01 0.01 -0.02 -0.00 0.00 -0.01 -0.00 -0.00 -0.01 -0.01 -0.00 0.00 -0.01 0.04 -0.00 0.18 -0.03 -0.13 0.02 -0.10 0.06 0.01 -0.08 0.11 -0.03 0.05 -0.01 -0.01 0.03 0.02 -0.06 0.02 0.01 -0.07 -0.17 0.03 -0.11 -0.19 0.08 -0.07 -0.18 -0.01 -0.08 -0.18 -0.01 0.01 -0.06 0.14 -0.04 -0.05 0.16 0.02 -0.07 0.13 0.06 -0.05 0.17 -0.03 0.05 -0.02 -0.05 0.07 -0.06 -0.01 0.01 0.03 -0.01 0.01 0.02 0.02 -0.01 0.09 0.04 -0.04 0.13 0.03 -0.01 0.10 0.05 -0.03 0.14 0.00 0.02 0.05 0.01 0.03 0.06 0.03 0.05 0.06 0.01 0.00 0.08 -0.03 -0.01 0.01 -0.03 -0.01 0.03 -0.05 -0.04 0.03 -0.03 -0.03 -0.04 0.00 -0.09 -0.16 0.03 -0.13 -0.20 0.00 -0.10 -0.21 0.03 -0.15 -0.29 -0.04 -0.05 -0.13 -0.04 -0.05 -0.16 -0.07 0.02 -0.02 -0.10 0.06 0.04 0.00 0.07 0.01 0.00 0.10 0.03 0.01 0.08 -0.02 0.00 0.08 0.03 0.02 0.07 0.03 0.02 0.09 0.04 0.03 0.04 0.00 0.05 0.04 -0.00 0.02 0.02 -0.02 0.04 -0.01 -0.07 0.06 -0.03 -0.09 0.03 -0.03 -0.07 0.04 -0.06 -0.11 0.00 -0.02 -0.03 -0.02 -0.03 -0.02 -0.00 -0.05 -0.04 -0.04 -0.01 0.03 -0.06 -0.02 0.04 -0.06 0.02 0.06 -0.08 0.03 0.08 -0.04 0.03 0.04 -0.05 0.06 0.06 -0.07 0.07 0.07 -0.03 0.07 0.04 -0.04 0.08 0.04 -0.01 0.06 0.03 0.00 0.04 0.01 -0.01 0.02 0.01 -0.01 -0.02 0.00 0.16 -0.06 -0.10 -0.01 0.04 -0.05 -0.08 0.04 -0.05 0.01 0.02 -0.01 -0.04 -0.01 -0.00 0.03 -0.01 0.02 -0.01 0.00 -0.06 -0.02 0.01 -0.04 -0.02 -0.01 -0.06 0.00 0.00 -0.07 0.02 0.12 -0.06 -0.01 0.14 -0.06 0.06 0.11 -0.06 0.01 0.14 -0.06 0.05 0.00 0.06 0.05 0.00 0.09 0.10 -0.01 0.09 0.14 -0.02 0.14 0.10 -0.00 0.04 0.13 -0.01 0.07 0.04 0.01 -0.03 0.04 0.01 -0.06 -0.00 0.02 -0.05 -0.03 0.00 -0.07 -0.05 -0.04 -0.08 -0.02 0.02 -0.10 -0.05 0.07 0.03 -0.05 0.11 0.06 -0.09 0.08 0.01 0.01 0.05 0.05 0.04 0.09 0.07 0.02 0.15 0.09 0.11 0.05 0.03 0.14 0.08 0.04 0.15 -0.02 -0.03 0.21 -0.06 -0.06 0.11 -0.05 -0.03 0.13 -0.10 -0.06 -0.04 -0.07 0.02 -0.04 -0.11 -0.00 -0.04 -0.08 0.07 -0.06 -0.06 0.03 -0.08 -0.06 0.01 -0.09 -0.09 -0.02 -0.10 -0.02 0.05 -0.12 -0.02 0.04 -0.10 -0.00 0.07 -0.11 0.02 0.06 -0.13 0.03 0.08 -0.08 0.02 0.01 -0.09 0.04 -0.01 -0.05 0.01 -0.03 -0.02 -0.00 -0.13 -0.01 -0.00 -0.18 0.01 -0.01 -0.15 0.04 -0.02 -0.22 0.01 -0.01 -0.05 0.03 -0.01 -0.05 -0.03 -0.00 0.04 -0.03 0.00 0.14 -0.02 0.01 0.18 -0.05 -0.01 0.15 -0.05 -0.02 0.20 -0.06 -0.03 0.09 -0.07 -0.01 0.08 -0.05 0.00 0.04 0.01 0.05 -0.03 -0.05 -0.01 -0.07 0.05 0.04 0.08 0.19 0.02 0.03 -0.05 0.04 -0.04 -0.01 0.03 0.04 -0.02 0.06 0.01 0.07 0.17 0.09 0.12 0.17 0.05 0.09 0.21 0.09 0.03 0.19 0.15 -0.00 -0.10 0.10 0.05 -0.13 0.09 -0.08 -0.09 0.11 0.01 -0.15 0.10 -0.05 0.03 -0.05 -0.07 0.05 -0.09 -0.02 -0.01 0.02 -0.02 -0.02 0.02 0.01 -0.04 0.09 0.04 -0.08 0.14 0.01 -0.02 0.08 0.03 -0.04 0.12 -0.02 0.02 0.01 -0.01 0.03 0.01 -0.02 0.01 -0.00 -0.02 0.04 0.00 -0.02 0.04 0.04 -0.02 0.05 0.04 -0.03 0.03 0.04 -0.01 0.03 -0.00 0.01 -0.01 -0.07 0.02 -0.03 -0.09 0.01 -0.02 -0.12 0.03 -0.06 -0.18 -0.01 0.02 -0.08 -0.02 0.02 -0.10 -0.03 0.06 -0.01 -0.05 0.08 0.02 -0.04 -0.09 0.05 -0.03 -0.14 0.02 -0.08 -0.10 0.14 -0.03 -0.13 0.00 -0.06 -0.14 -0.04 -0.08 -0.17 -0.06 -0.08 -0.11 -0.05 -0.10 -0.11 -0.07 -0.07 -0.07 -0.01 -0.09 -0.01 0.03 -0.13 0.00 0.03 -0.07 0.04 0.05 -0.09 0.08 0.08 -0.02 0.03 0.03 0.01 0.06 0.02 -0.00 0.11 0.04 0.07 0.05 -0.01 0.09 0.07 -0.02 0.09 -0.01 -0.02 0.13 -0.02 -0.04 0.05 -0.05 -0.01 0.07 -0.09 0.00 0.10 -0.09 0.00 0.03 -0.11 0.03 0.04 -0.13 0.05 -0.01 -0.11 0.01 -0.03 -0.07 0.00 0.00 -0.03 0.01 0.07 -0.02 -0.01 -0.10 -0.06 0.02 -0.01 -0.02 -0.00 0.13 -0.06 -0.09 0.04 0.03 -0.02 0.04 -0.03 0.03 0.01 -0.03 -0.02 0.02 0.14 0.01 0.07 0.14 -0.04 0.04 0.19 -0.00 -0.03 0.16 0.08 -0.06 -0.17 -0.01 0.02 -0.19 -0.04 -0.14 -0.15 0.01 -0.07 -0.24 -0.02 0.03 0.10 -0.04 -0.01 0.14 -0.04 0.08 0.12 -0.05 0.06 0.17 -0.07 0.13 0.07 -0.03 0.16 0.08 -0.03 0.14 0.01 -0.01 0.18 -0.03 -0.00 0.08 -0.00 0.00 0.08 -0.03 0.02 0.11 -0.02 0.02 0.09 -0.05 0.03 0.03 -0.05 0.03 0.03 -0.05 0.05 0.02 -0.06 0.03 0.01 -0.05 0.02 -0.04 -0.07 0.04 -0.04 -0.10 0.06 -0.08 -0.06 0.02 -0.11 -0.07 0.03 -0.07 -0.03 -0.01 -0.10 -0.02 -0.02 -0.03 -0.01 -0.03 -0.02 0.01 -0.05 -0.00 0.02 -0.00 -0.03 0.04 0.03 0.02 0.02 -0.04 -0.02 0.05 0.00 -0.03 0.05 0.00 -0.02 0.05 -0.02 -0.03 0.06 0.03 -0.02 0.05 0.03 -0.04 0.05 0.04 -0.03 0.02 0.01 -0.02 0.02 0.02 -0.03 -0.01 -0.03 -0.02 -0.03 -0.07 -0.05 -0.01 -0.03 -0.05 -0.04 -0.11 -0.03 -0.08 -0.17 -0.07 -0.04 -0.09 -0.07 -0.06 -0.14 -0.09 0.01 0.01 -0.11 0.02 0.03 -0.09 0.05 0.06 -0.10 0.08 0.12 -0.12 0.09 0.16 -0.08 0.08 0.09 -0.08 0.09 0.10 -0.05 0.06 0.05 -0.05 0.05 0.05 -0.06 0.03 0.04 -0.01 -0.02 -0.07 -0.00 0.17 0.09 0.07 0.03 0.12 0.02 0.05 0.17 0.05 -0.07 -0.04 -0.01 -0.02 -0.08 -0.02 -0.04 -0.07 0.10 -0.03 0.14 0.10 -0.02 0.14 0.09 -0.05 0.18 0.13 -0.04 0.12 0.09 0.10 0.15 0.04 0.11 0.17 0.13 0.09 0.14 0.12 0.13 0.17 0.07 -0.12 -0.01 0.11 -0.16 0.02 0.03 -0.12 -0.03 0.05 -0.15 -0.00 -0.03 -0.06 -0.09 -0.06 -0.05 -0.12 -0.04 -0.02 -0.11 -0.08 0.02 -0.15 0.00 -0.03 -0.08 0.01 -0.02 -0.08 0.01 -0.02 -0.07 0.01 -0.03 -0.07 -0.02 -0.03 -0.08 -0.02 -0.01 -0.05 -0.05 -0.04 -0.08 -0.01 -0.04 -0.09 -0.01 -0.03 -0.08 -0.01 -0.03 -0.10 -0.03 -0.01 -0.03 -0.02 -0.01 -0.03 -0.05 0.00 0.02 -0.06 0.02 0.07 -0.04 -0.01 -0.00 -0.06 -0.01 0.03 0.01 -0.01 -0.08 0.02 -0.00 -0.08 0.02 -0.01 -0.09 -0.00 0.00 -0.03 0.00 -0.00 -0.05 0.01 -0.02 -0.10 -0.01 0.01 0.01 0.00 0.01 0.00 -0.02 0.02 0.06 -0.02 0.02 0.07 -0.02 0.03 0.08 -0.01 0.01 0.03 -0.01 -0.00 0.02 -0.01 -0.00 -0.00 0.00 -0.04 -0.10 0.02 -0.06 -0.17 0.00 -0.04 -0.11 0.01 -0.07 -0.19 -0.02 -0.00 -0.01 -0.02 -0.00 -0.00 -0.03 0.03 0.08 -0.04 0.05 0.15 -0.05 0.06 0.19 -0.03 0.04 0.12 -0.04 0.04 0.14 -0.02 0.02 0.05 -0.02 0.03 0.07 -0.02 0.02 0.06 0.04 0.05 -0.02 0.02 0.20 0.12 -0.02 -0.13 -0.07 -0.02 -0.11 -0.01 0.00 0.02 -0.00 0.02 0.02 0.04 0.04 0.01 -0.04 -0.13 -0.23 -0.11 -0.18 -0.26 -0.04 -0.13 -0.24 -0.17 -0.14 -0.26 -0.19 -0.02 -0.11 -0.02 -0.05 -0.09 -0.02 -0.00 -0.11 -0.01 0.00 -0.10 -0.01 -0.04 0.05 -0.07 -0.07 0.07 -0.12 -0.05 0.04 -0.06 -0.09 0.05 -0.11 -0.01 -0.01 0.04 -0.01 -0.02 0.06 0.03 -0.03 0.09 0.06 -0.05 0.15 0.03 -0.00 0.06 0.05 0.02 0.07 0.07 0.05 0.08 0.05 -0.01 0.10 0.02 0.02 0.03 0.02 0.01 0.03 0.03 0.02 0.04 0.01 0.02 0.03 -0.02 0.04 0.08 -0.04 0.07 0.14 -0.01 0.04 0.05 -0.03 0.05 0.09 0.03 0.01 -0.04 0.04 -0.00 -0.07 0.06 -0.01 -0.08 0.08 -0.03 -0.13 -0.01 -0.02 0.02 -0.03 -0.03 0.03 -0.05 -0.02 0.05 -0.01 -0.05 -0.02 -0.02 -0.08 -0.09 -0.03 -0.10 -0.13 -0.03 -0.06 -0.09 -0.03 -0.07 -0.12 -0.04 -0.03 -0.01 -0.06 0.01 0.04 -0.08 0.02 0.05 -0.05 0.03 0.07 -0.07 0.06 0.10 -0.03 0.02 0.03 -0.01 0.02 -0.02 -0.01 0.04 -0.02 0.02 0.00 -0.07 0.04 0.00 -0.11 0.03 -0.01 -0.05 0.05 -0.02 -0.07 0.00 -0.01 0.01 0.00 -0.02 0.05 0.01 -0.02 0.06 -0.01 -0.03 0.06 -0.01 -0.03 0.08 -0.02 -0.04 0.02 -0.03 -0.02 0.01 -0.02 -0.01 0.02 0.03 0.01 0.02 0.08 0.04 0.02 -0.04 -0.05 -0.00 0.06 -0.07 -0.06 0.04 -0.03 0.08 0.00 0.03 0.02 -0.03 0.03 0.00 -0.01 0.06 0.01 0.03 0.05 -0.03 0.01 0.10 0.01 -0.05 0.07 0.05 -0.07 -0.15 -0.04 -0.00 -0.15 -0.09 -0.10 -0.13 0.00 -0.10 -0.22 -0.06 0.12 -0.10 0.20 0.20 -0.17 0.33 0.08 -0.05 0.13 0.14 -0.10 0.22 -0.07 0.08 -0.10 -0.13 0.14 -0.19 -0.12 0.13 -0.18 -0.21 0.21 -0.31 -0.04 0.04 -0.05 -0.02 0.03 -0.03 -0.00 -0.00 -0.04 -0.04 0.05 -0.01 -0.02 0.02 0.03 -0.02 0.01 0.04 -0.03 0.03 0.02 -0.03 0.02 0.01 -0.04 -0.02 -0.02 -0.04 -0.04 -0.01 -0.06 -0.02 -0.06 -0.06 -0.04 -0.09 -0.06 0.00 -0.06 -0.07 0.00 -0.09 -0.05 0.03 -0.03 -0.05 0.06 -0.03 -0.00 0.00 0.02 -0.00 -0.01 0.02 -0.01 0.00 0.04 -0.00 -0.01 0.00 0.00 -0.01 -0.03 0.00 -0.02 -0.03 0.00 -0.02 -0.04 0.01 -0.02 -0.05 0.00 -0.01 -0.02 -0.00 -0.00 0.01 -0.01 -0.00 0.01 -0.01 0.01 0.03 -0.01 0.01 0.05 -0.00 0.00 0.02 -0.00 0.01 0.02 -0.01 0.01 0.04 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.01 -0.01 -0.02 0.01 -0.02 -0.04 0.00 -0.01 -0.02 0.00 -0.01 -0.02 0.01 -0.01 -0.03 -0.00 -0.01 -0.00 -0.00 -0.00 0.01 -0.00 -0.01 0.00 -0.00 -0.01 -0.01 -0.00 -0.01 -0.00 -0.01 -0.00 -0.05 0.03 0.11 0.03 0.00 -0.03 0.03 0.04 -0.03 0.01 -0.00 0.01 -0.03 -0.02 -0.01 -0.01 0.01 -0.03 -0.04 0.02 0.01 0.04 0.03 0.01 0.02 0.02 0.02 0.04 0.00 0.01 0.05 -0.01 -0.06 0.03 0.00 -0.05 0.02 -0.02 -0.05 0.05 -0.01 -0.08 0.03 0.02 0.03 0.00 0.01 0.04 0.02 0.06 0.03 0.01 0.08 0.03 0.04 0.07 0.02 -0.01 0.10 0.02 0.00 0.05 0.01 -0.04 0.06 -0.01 -0.06 0.01 0.00 -0.04 -0.00 -0.01 -0.04 0.01 -0.02 -0.04 -0.00 -0.01 -0.03 -0.03 0.01 0.00 -0.03 0.01 0.00 -0.04 0.01 -0.00 -0.02 0.01 0.00 -0.02 0.05 0.05 -0.04 0.09 0.09 0.01 0.03 0.05 0.00 0.06 0.08 0.04 -0.02 -0.02 0.06 -0.03 -0.03 0.04 -0.05 -0.05 0.06 -0.08 -0.08 -0.01 -0.04 0.02 0.01 -0.06 -0.00 -0.00 -0.05 0.04 -0.03 -0.02 0.08 -0.08 0.04 0.25 -0.10 0.07 0.35 -0.09 0.06 0.25 -0.11 0.09 0.35 -0.05 -0.00 0.05 -0.03 -0.03 -0.09 -0.04 -0.04 -0.12 -0.01 -0.05 -0.18 0.01 -0.07 -0.28 -0.01 -0.02 -0.09 -0.01 0.03 0.01 -0.02 0.04 0.01 -0.02 0.07 0.15 -0.03 0.11 0.25 -0.01 0.04 0.11 -0.00 0.06 0.17 0.00 -0.02 -0.02 0.02 -0.05 -0.08 0.04 -0.06 -0.10 0.01 -0.07 -0.09 0.02 -0.08 -0.13 -0.01 -0.04 -0.02 -0.02 -0.03 -0.02 -0.00 -0.03 -0.06 0.08 0.03 0.00 -0.13 -0.08 -0.03 0.07 0.04 -0.05 -0.04 0.08 0.07 0.06 -0.02 0.03 0.04 0.01 0.05 0.03 0.05 0.01 -0.07 -0.20 -0.11 -0.16 -0.24 0.01 -0.09 -0.27 -0.15 -0.03 -0.25 -0.25 0.08 0.15 0.03 -0.01 0.12 0.12 0.11 0.11 -0.04 0.16 0.24 0.08 0.07 -0.07 0.06 0.12 -0.11 0.09 0.01 -0.05 0.02 0.02 -0.09 0.03 -0.06 0.02 -0.05 -0.12 0.04 -0.10 -0.06 0.05 -0.05 -0.11 0.09 -0.08 0.01 0.02 0.01 0.04 0.01 0.03 0.06 0.00 0.02 0.02 0.02 0.05 0.05 -0.00 0.05 0.05 -0.01 0.04 0.06 -0.00 0.05 0.03 -0.00 0.02 -0.00 -0.06 -0.02 0.01 -0.11 -0.02 -0.05 -0.05 -0.06 -0.08 -0.09 -0.10 -0.07 0.03 -0.05 -0.11 0.04 -0.07 -0.03 0.08 -0.02 -0.04 0.13 -0.02 -0.01 -0.03 0.04 -0.02 -0.04 0.04 -0.03 -0.03 0.06 -0.02 -0.04 0.02 -0.06 -0.01 0.08 -0.08 -0.02 0.10 -0.07 0.00 0.08 -0.08 0.02 0.12 -0.06 -0.01 0.03 -0.06 -0.00 -0.01 -0.08 0.00 -0.01 -0.04 -0.00 -0.06 -0.04 -0.00 -0.09 -0.03 0.00 -0.04 -0.02 0.02 -0.03 -0.02 0.03 -0.05 -0.01 0.03 0.02 -0.00 0.05 0.04 -0.01 0.02 0.04 0.01 0.02 0.07 -0.01 -0.01 0.01 -0.01 -0.03 0.01 0.01 -0.03 0.01 -0.01 -0.04 -0.01 -0.01 -0.05 -0.02 -0.02 -0.04 0.00 -0.03 -0.02 0.00 -0.02 -0.01 -0.01 -0.00 0.01 0.01 0.04 0.04 0.03 -0.05 0.01 -0.05 0.03 0.02 -0.02 0.00 -0.02 -0.00 0.01 -0.01 -0.03 0.00 0.04 0.07 -0.06 0.03 -0.06 -0.05 0.01 -0.06 -0.05 0.06 -0.08 -0.11 0.03 -0.07 -0.07 -0.08 -0.12 0.00 -0.09 -0.15 -0.09 -0.07 -0.11 -0.12 -0.11 -0.15 -0.01 -0.02 -0.03 -0.01 -0.02 -0.04 -0.03 -0.02 -0.03 -0.05 -0.02 -0.05 -0.03 -0.03 -0.01 -0.04 -0.03 -0.02 -0.01 -0.03 0.01 -0.01 -0.03 0.03 0.01 -0.02 0.01 0.01 -0.01 -0.00 -0.00 0.01 0.01 0.01 -0.01 0.00 0.06 -0.01 -0.07 0.05 0.01 -0.09 0.06 -0.04 -0.05 0.07 -0.01 -0.08 0.14 -0.05 -0.19 0.21 -0.10 -0.35 0.10 0.00 -0.06 0.13 -0.02 -0.13 -0.01 0.10 0.18 -0.06 0.14 0.31 -0.05 0.10 0.21 -0.11 0.14 0.32 -0.01 -0.02 -0.04 0.00 -0.01 -0.04 -0.02 -0.02 -0.04 -0.01 -0.03 -0.02 -0.02 -0.01 0.04 -0.03 -0.01 0.05 -0.03 0.01 0.08 -0.04 0.02 0.12 -0.03 -0.00 0.05 -0.03 -0.00 0.02 -0.04 0.00 0.03 -0.01 -0.01 -0.04 -0.01 -0.02 -0.08 -0.00 -0.01 -0.04 0.01 -0.01 -0.06 0.02 -0.01 -0.12 0.02 0.01 -0.00 0.02 0.01 -0.01 0.01 0.02 0.07 0.01 0.03 0.11 -0.00 0.00 0.06 0.00 -0.01 0.06 0.01 -0.00 0.09 0.01 -0.03 0.01 0.01 -0.04 -0.01 -0.01 -0.03 -0.00 -0.02 -0.01 0.03 -0.01 -0.01 0.02 -0.04 0.03 -0.04 -0.00 0.01 -0.09 -0.01 0.13 -0.01 0.20 0.20 0.23 0.02 -0.03 0.08 -0.01 -0.03 0.03 0.02 -0.13 -0.06 -0.10 -0.08 -0.06 -0.09 -0.21 0.08 -0.07 -0.01 -0.06 -0.18 -0.13 -0.22 -0.09 -0.15 -0.10 0.04 -0.26 -0.08 -0.21 -0.17 -0.17 -0.12 -0.16 -0.12 0.02 -0.01 0.09 0.03 -0.02 0.13 -0.00 0.03 0.03 -0.01 0.05 0.02 -0.04 0.06 -0.03 -0.07 0.11 -0.10 -0.02 0.02 -0.00 -0.03 0.03 -0.04 0.02 -0.02 0.07 0.03 -0.04 0.09 0.07 0.01 0.10 0.04 -0.08 0.12 -0.02 -0.09 0.00 -0.02 -0.07 0.01 -0.03 -0.12 0.03 0.00 -0.10 -0.03 0.01 -0.04 0.04 -0.01 0.02 0.06 0.05 -0.03 0.11 0.05 0.02 0.17 0.07 -0.09 0.07 0.08 -0.09 0.11 0.07 -0.14 -0.00 0.08 -0.19 -0.02 -0.00 0.01 0.02 -0.01 0.03 0.03 0.00 0.02 -0.01 -0.00 0.02 0.02 0.01 0.01 -0.01 0.01 0.01 -0.01 0.02 -0.00 -0.03 0.02 -0.01 -0.06 0.01 0.00 -0.01 0.02 -0.00 -0.01 0.02 -0.01 -0.02 0.01 0.00 0.02 0.01 -0.00 0.03 0.00 0.00 0.02 -0.00 -0.00 0.02 -0.00 -0.01 0.03 -0.00 -0.01 -0.02 -0.00 -0.02 -0.03 -0.00 -0.01 -0.03 -0.00 -0.02 -0.06 -0.00 0.00 -0.01 -0.00 0.01 -0.01 -0.00 0.00 -0.03 -0.00 0.01 0.01 -0.00 0.01 0.00 -0.00 0.02 0.02 0.00 0.01 0.01 -0.00 0.01 0.01 -0.03 0.05 0.05 0.02 -0.03 -0.08 -0.02 -0.02 0.03 -0.04 -0.04 -0.02 0.07 -0.04 0.08 0.03 0.00 -0.05 0.07 0.00 -0.12 0.04 0.05 0.07 0.07 0.08 0.01 0.04 0.05 0.10 0.06 0.07 0.12 -0.03 -0.03 0.03 -0.01 -0.03 0.01 -0.04 -0.03 0.04 -0.03 -0.06 0.02 0.02 -0.06 0.02 0.06 -0.09 -0.01 -0.09 -0.03 -0.06 -0.14 -0.02 -0.13 -0.11 -0.01 -0.04 -0.18 0.02 -0.09 -0.03 -0.02 0.07 -0.06 0.01 0.10 0.06 -0.03 0.10 0.05 -0.00 0.06 0.03 0.07 0.09 0.06 -0.03 0.06 0.10 -0.04 -0.10 0.10 -0.09 -0.18 0.20 -0.03 -0.07 0.05 -0.01 -0.07 -0.03 0.03 0.06 -0.06 0.04 0.14 -0.08 0.06 0.09 -0.15 0.09 0.20 -0.02 0.03 -0.06 -0.03 0.03 -0.07 0.05 0.00 -0.15 0.08 -0.01 -0.20 -0.01 0.00 -0.10 -0.01 0.03 -0.08 -0.05 0.01 -0.10 0.01 -0.05 -0.10 0.00 -0.02 -0.03 0.00 -0.02 -0.02 -0.01 0.01 0.07 -0.02 0.03 0.14 -0.02 0.00 0.06 -0.03 0.02 0.10 -0.05 0.05 0.18 -0.00 -0.00 -0.01 -0.00 0.00 -0.02 0.02 -0.02 -0.08 0.04 -0.03 -0.14 0.05 -0.05 -0.24 0.03 0.01 -0.01 0.04 0.01 -0.02 0.01 0.04 0.14 -0.00 0.07 0.24 0.01 0.01 0.08 0.01 0.00 0.07 0.00 0.02 0.13 0.02 -0.05 -0.06 0.03 -0.07 -0.10 0.01 -0.05 -0.09 0.00 -0.03 -0.02 0.01 -0.01 -0.01 0.02 -0.01 -0.05 -0.02 0.01 -0.05 0.02 -0.06 -0.00 -0.07 -0.09 -0.11 -0.08 0.01 0.11 -0.04 0.03 0.01 0.07 -0.09 -0.14 0.06 0.00 0.02 0.05 0.06 -0.03 0.04 -0.04 0.03 0.11 0.02 0.07 0.06 0.09 0.08 -0.04 0.14 0.09 0.12 0.09 0.11 0.11 0.11 0.11 -0.05 0.09 0.16 -0.08 0.11 0.23 -0.01 0.15 0.12 0.00 0.18 0.14 -0.01 0.15 0.04 0.01 0.19 -0.01 -0.03 0.06 0.03 -0.00 0.04 -0.03 -0.06 0.01 0.09 -0.06 0.02 0.08 -0.06 0.06 0.10 -0.06 0.01 0.10 0.00 -0.04 -0.06 -0.00 0.03 -0.06 -0.03 -0.14 0.00 0.07 -0.09 -0.16 0.07 -0.06 -0.12 0.09 -0.07 -0.17 -0.01 0.03 0.09 -0.05 0.08 0.19 -0.04 0.05 0.17 -0.11 0.11 0.33 0.02 -0.04 -0.01 0.02 -0.06 -0.00 -0.03 0.06 0.00 -0.00 0.10 0.00 -0.07 0.06 -0.03 -0.02 -0.00 0.03 -0.01 -0.01 0.01 -0.01 -0.02 0.01 -0.00 -0.03 -0.02 0.01 -0.04 -0.06 -0.01 -0.03 -0.01 -0.01 -0.02 -0.04 -0.02 -0.04 -0.09 -0.01 0.00 -0.00 -0.01 0.00 -0.02 -0.01 0.01 0.04 0.01 0.03 0.03 -0.00 0.05 0.03 0.03 0.01 -0.02 0.05 0.01 -0.05 0.04 -0.01 -0.03 0.07 -0.03 -0.07 0.02 -0.01 0.01 0.02 -0.02 0.00 0.03 -0.03 -0.02 0.01 -0.03 0.03 0.01 -0.04 0.02 -0.02 -0.01 0.04 -0.02 -0.01 0.04 -0.01 -0.00 0.04 0.02 -0.05 -0.02 0.03 -0.03 0.08 0.02 0.03 -0.01 0.08 0.05 0.05 -0.13 0.02 0.01 -0.03 0.02 0.01 -0.02 -0.01 0.00 -0.03 -0.05 -0.04 -0.05 -0.10 0.03 -0.02 -0.03 -0.06 -0.06 -0.07 -0.11 0.02 0.01 -0.02 0.02 -0.00 -0.00 0.01 0.00 -0.03 0.02 0.02 -0.01 -0.09 0.10 0.07 -0.14 0.14 0.10 0.00 0.10 0.10 0.04 0.12 0.15 0.05 0.06 0.08 0.13 0.06 0.11 -0.02 0.02 -0.01 0.02 -0.01 -0.05 -0.10 0.01 -0.02 -0.11 0.01 -0.03 -0.15 -0.04 -0.04 -0.13 0.08 -0.06 -0.03 0.02 0.01 -0.03 0.02 0.01 -0.04 0.02 0.01 -0.03 0.01 0.01 -0.03 -0.00 0.00 -0.04 -0.00 0.01 -0.02 -0.01 -0.03 -0.01 -0.02 -0.05 -0.02 -0.02 -0.03 -0.02 -0.03 -0.04 -0.03 -0.01 -0.01 -0.03 0.00 -0.01 -0.02 0.02 -0.00 -0.02 0.02 0.00 -0.04 0.02 0.00 0.01 -0.02 -0.07 0.03 -0.01 -0.06 0.03 0.00 -0.05 0.02 -0.00 -0.01 0.01 0.02 0.06 0.02 0.00 -0.00 -0.01 0.06 0.19 -0.04 0.12 0.38 0.01 0.02 0.08 -0.01 0.06 0.19 0.04 -0.04 -0.12 0.05 -0.05 -0.15 0.06 -0.08 -0.22 0.01 0.00 0.03 0.00 0.01 0.07 -0.02 0.06 0.18 -0.05 0.11 0.35 0.01 0.01 0.04 0.00 0.02 0.05 -0.01 0.05 0.13 0.02 -0.01 -0.07 0.02 -0.01 -0.08 0.03 -0.03 -0.13 0.04 -0.04 -0.12 0.04 -0.03 -0.11 0.01 -0.05 0.04 0.09 -0.10 0.13 0.01 0.06 0.00 0.10 0.09 0.10 -0.03 -0.03 0.04 -0.02 0.03 -0.08 0.05 0.05 -0.14 -0.04 -0.04 -0.02 -0.04 -0.11 0.06 -0.03 0.00 -0.03 -0.09 -0.07 -0.12 -0.02 -0.05 -0.04 0.04 -0.08 -0.04 -0.07 -0.05 -0.06 -0.04 -0.06 -0.05 -0.05 0.03 0.01 -0.08 0.06 0.01 -0.04 0.07 -0.03 -0.07 0.12 -0.07 0.02 0.01 0.02 0.06 0.01 0.03 0.03 -0.05 0.04 0.07 -0.08 0.05 -0.02 -0.04 0.02 -0.09 0.02 -0.08 -0.21 -0.01 -0.06 -0.09 0.07 -0.16 0.04 0.05 -0.11 0.04 0.05 -0.15 0.08 0.05 -0.10 0.04 0.05 -0.10 -0.05 0.05 -0.04 -0.06 0.02 0.03 -0.13 0.09 -0.03 -0.19 0.09 0.04 -0.10 0.10 -0.11 -0.13 0.11 -0.11 -0.02 0.09 -0.16 -0.00 0.13 -0.20 -0.02 0.03 -0.08 0.02 0.05 -0.09 -0.04 0.03 -0.10 -0.01 -0.01 0.00 -0.01 -0.00 0.03 -0.00 -0.01 0.00 -0.01 -0.01 0.03 0.00 -0.02 -0.00 -0.02 -0.01 0.04 -0.00 -0.05 -0.12 0.01 -0.09 -0.26 -0.00 -0.02 -0.07 0.01 -0.05 -0.18 -0.02 0.03 0.08 -0.01 0.04 0.07 -0.01 0.06 0.08 0.03 0.01 -0.03 0.05 -0.00 -0.08 0.05 -0.03 -0.09 0.08 -0.07 -0.20 0.01 -0.01 0.02 0.02 -0.03 -0.03 0.04 -0.05 -0.09 0.00 -0.02 0.02 0.01 -0.04 -0.01 -0.02 -0.00 0.07 -0.03 0.01 0.11 -0.02 0.02 0.11 0.00 0.01 -0.00 -0.01 0.02 -0.01 0.00 -0.00 -0.00 -0.00 -0.01 -0.01 -0.03 0.02 -0.02 0.00 -0.01 0.02 -0.02 -0.00 0.04 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.01 -0.01 0.00 -0.00 -0.00 0.01 0.01 0.00 -0.00 0.01 0.00 0.01 0.01 0.00 0.01 0.01 0.00 -0.02 0.01 0.00 -0.03 0.02 -0.00 0.01 -0.01 0.04 0.03 -0.02 0.07 0.00 -0.00 0.02 0.02 -0.01 0.04 -0.02 0.01 -0.02 -0.03 0.02 -0.03 -0.03 0.02 -0.02 -0.01 -0.00 -0.00 0.00 -0.02 -0.02 -0.02 0.01 0.00 0.00 -0.01 0.02 0.00 -0.04 0.00 0.03 0.01 0.02 -0.02 -0.00 0.04 -0.01 -0.00 0.03 -0.01 0.00 0.04 0.02 -0.02 0.00 0.03 -0.03 -0.02 0.02 -0.03 -0.01 0.04 -0.05 -0.04 0.00 -0.02 0.02 0.00 -0.02 0.02 -0.00 -0.02 0.01 -0.01 -0.03 0.02 -0.01 -0.02 0.03 -0.00 -0.01 -0.01 0.01 -0.03 -0.08 0.03 -0.06 -0.16 0.01 -0.03 -0.07 0.03 -0.07 -0.18 -0.01 0.03 0.09 0.02 -0.01 -0.03 0.04 -0.04 -0.13 0.02 -0.02 -0.07 0.05 -0.07 -0.21 0.00 0.01 0.05 0.03 -0.05 -0.13 0.07 -0.11 -0.31 0.01 -0.02 -0.05 0.03 -0.06 -0.16 -0.02 0.03 0.10 -0.02 0.03 0.08 -0.02 0.05 0.14 0.03 -0.04 -0.15 0.07 -0.10 -0.36 0.04 -0.05 -0.22 0.08 -0.10 -0.47 0.00 0.02 0.04 -0.02 0.07 0.19 -0.03 0.07 0.22 -0.01 -0.06 -0.03 -0.03 0.11 -0.11 0.00 -0.01 -0.00 0.01 -0.00 0.01 0.01 -0.15 0.18 0.01 -0.06 0.00 -0.03 0.12 0.10 0.01 0.01 -0.00 0.01 0.02 -0.01 0.01 0.01 -0.00 0.01 0.01 0.01 0.01 0.02 0.01 -0.01 0.02 0.02 0.03 0.02 0.00 0.02 0.03 0.01 -0.01 -0.02 0.16 -0.03 -0.01 0.25 -0.05 0.14 -0.06 -0.12 0.28 -0.16 0.00 0.10 -0.10 -0.03 0.20 -0.25 0.10 -0.11 0.06 0.16 -0.17 0.03 0.04 -0.17 0.14 -0.06 -0.10 0.02 -0.22 -0.10 0.06 -0.06 -0.03 -0.08 0.06 0.03 0.01 0.06 -0.05 -0.07 0.18 0.12 -0.01 -0.02 0.10 0.11 -0.01 0.07 0.05 -0.01 0.07 0.06 0.04 0.01 -0.11 0.08 -0.05 -0.23 0.03 0.05 -0.10 0.06 0.01 -0.20 -0.03 0.12 0.05 -0.05 0.15 0.08 0.01 -0.03 -0.00 -0.00 -0.03 0.01 0.03 -0.03 -0.01 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.01 0.01 0.00 0.01 -0.00 -0.00 0.01 -0.00 0.01 0.01 -0.01 0.01 0.00 -0.01 0.02 -0.00 -0.02 0.01 0.00 0.00 0.01 -0.00 0.00 0.00 0.00 0.02 -0.00 -0.01 0.01 0.00 -0.01 0.00 -0.01 -0.01 -0.01 -0.01 -0.02 -0.02 -0.01 -0.00 -0.01 -0.02 -0.00 -0.02 -0.01 0.01 0.01 -0.00 0.01 0.00 -0.01 0.01 0.00 0.00 0.01 -0.01 0.00 0.01 -0.01 0.01 0.01 -0.01 0.01 0.01 0.00 0.00 0.01 0.01 0.02 -0.00 0.10 -0.03 0.16 -0.16 0.01 0.01 0.01 0.03 0.01 0.03 -0.15 0.01 -0.07 0.03 -0.07 0.01 0.14 -0.00 -0.02 -0.03 -0.00 -0.01 -0.05 -0.01 0.01 -0.03 0.00 -0.03 -0.04 -0.01 -0.01 0.01 -0.01 -0.02 0.02 -0.02 -0.02 0.01 -0.01 -0.04 -0.02 0.01 -0.04 -0.13 0.04 -0.04 -0.18 0.08 -0.06 0.01 -0.01 0.06 0.07 -0.01 0.15 0.07 -0.07 0.05 0.19 -0.11 0.14 -0.04 -0.03 -0.11 -0.03 -0.05 -0.15 -0.12 -0.02 -0.13 -0.13 -0.07 -0.14 -0.22 -0.25 -0.19 -0.18 0.09 -0.24 0.12 -0.03 0.01 0.11 0.02 -0.03 0.10 -0.03 0.00 0.15 -0.06 0.01 0.05 -0.13 0.04 0.06 -0.21 0.09 -0.07 -0.08 0.06 -0.16 -0.10 0.12 -0.07 -0.00 -0.00 -0.15 0.04 -0.01 0.06 0.03 -0.06 0.07 0.09 -0.11 0.02 -0.06 -0.01 -0.01 -0.08 0.00 0.05 -0.06 -0.00 0.01 -0.00 -0.02 -0.01 0.01 0.02 -0.01 0.02 0.05 -0.01 0.02 0.02 -0.02 0.03 0.05 0.01 0.01 -0.02 0.02 -0.00 -0.03 0.03 -0.01 -0.05 0.01 0.00 0.00 0.01 -0.00 0.00 0.00 0.01 0.03 -0.01 -0.00 0.04 -0.01 -0.01 0.07 -0.02 -0.02 -0.02 -0.02 -0.04 -0.04 -0.02 -0.01 -0.04 -0.03 -0.02 -0.07 -0.01 0.02 -0.00 -0.01 0.03 0.04 -0.02 0.04 0.08 -0.00 0.03 0.01 -0.00 0.03 0.03 0.02 0.01 -0.03 0.01 0.01 -0.03 0.00 0.01 -0.00 0.00 -0.03 0.03 -0.01 0.04 -0.04 -0.00 0.01 -0.00 0.01 0.01 0.01 0.04 -0.01 0.01 -0.01 0.01 0.02 0.03 -0.01 -0.07 -0.01 -0.00 -0.00 -0.00 -0.02 0.01 -0.00 0.01 -0.00 -0.02 -0.01 -0.01 -0.01 -0.01 -0.01 0.01 -0.02 -0.00 -0.02 -0.01 -0.01 -0.01 -0.01 -0.01 0.03 -0.02 -0.01 0.04 -0.03 -0.02 -0.00 -0.00 -0.05 -0.03 0.01 -0.08 0.01 -0.01 -0.01 -0.01 -0.01 -0.01 0.03 -0.01 0.03 0.04 -0.02 0.05 0.03 0.00 0.01 -0.00 0.02 -0.02 -0.04 -0.01 -0.02 0.01 0.03 -0.06 -0.06 0.04 0.05 -0.06 0.14 0.14 -0.19 -0.02 0.05 0.02 0.00 -0.05 0.02 -0.00 -0.07 0.03 -0.02 -0.08 -0.02 0.03 -0.00 -0.05 0.05 0.04 -0.04 0.05 0.03 -0.07 0.08 0.10 0.01 0.01 -0.05 0.02 0.01 -0.07 0.01 -0.01 0.06 0.02 -0.05 0.03 0.04 -0.02 0.09 -0.01 0.02 0.08 0.02 -0.06 -0.15 0.05 -0.14 -0.34 0.00 -0.02 -0.07 0.02 -0.06 -0.18 -0.02 0.05 0.12 -0.02 0.05 0.13 -0.03 0.08 0.23 0.01 -0.02 -0.08 0.02 -0.03 -0.11 0.03 -0.05 -0.16 0.00 -0.03 -0.05 0.00 -0.03 -0.03 -0.05 0.04 0.16 -0.09 0.10 0.37 -0.03 0.01 0.03 -0.05 0.04 0.11 0.02 -0.04 -0.15 0.02 -0.04 -0.15 0.04 -0.07 -0.27 -0.02 0.04 0.09 -0.02 0.05 0.13 -0.02 0.06 0.19 -0.01 0.04 0.11 0.02 -0.02 -0.10 0.07 0.02 0.02 -0.03 0.02 -0.03 0.02 -0.03 0.04 -0.00 -0.03 0.04 -0.01 0.02 0.03 -0.01 0.03 -0.10 -0.12 -0.07 0.07 -0.09 0.06 -0.01 -0.15 0.12 -0.01 -0.08 0.06 -0.16 -0.13 0.10 0.09 0.07 0.03 -0.09 0.11 0.04 -0.13 0.16 0.02 -0.11 -0.04 0.08 -0.15 -0.02 0.02 0.02 -0.01 0.01 0.02 -0.04 0.02 0.01 -0.05 0.03 -0.01 -0.03 0.01 0.03 -0.03 0.01 0.03 -0.02 0.01 0.04 -0.02 0.01 0.05 -0.02 0.02 0.02 -0.06 0.03 -0.06 -0.14 0.02 -0.04 -0.05 0.06 -0.12 -0.04 -0.04 -0.11 -0.04 -0.14 -0.14 0.05 0.01 -0.12 -0.12 -0.02 0.01 -0.08 0.03 0.04 -0.09 0.09 0.03 0.03 -0.03 0.00 0.11 0.00 -0.03 0.05 -0.12 -0.01 0.14 -0.17 -0.05 -0.05 -0.12 0.08 -0.06 -0.15 0.12 -0.03 0.07 -0.16 -0.00 0.16 -0.12 -0.09 0.07 -0.22 0.00 -0.02 -0.12 0.03 -0.02 -0.10 0.06 -0.03 -0.18 0.01 0.02 0.08 0.02 0.03 0.13 -0.02 0.01 0.11 -0.01 -0.01 0.01 -0.02 -0.02 -0.02 0.01 -0.04 -0.10 0.03 -0.07 -0.21 0.00 -0.01 -0.02 0.00 0.04 0.06 -0.01 0.08 0.11 0.03 0.03 0.05 0.03 0.06 0.10 0.05 -0.02 -0.06 0.08 -0.04 -0.10 0.03 -0.03 -0.04 0.01 -0.01 0.02 0.00 -0.00 0.05 -0.01 -0.00 0.06 -0.02 0.00 0.11 -0.02 -0.01 0.00 -0.02 -0.01 0.06 -0.00 -0.02 -0.00 0.00 0.06 -0.02 0.02 -0.04 0.05 -0.04 0.05 -0.06 -0.00 0.03 -0.11 -0.06 -0.03 0.02 0.02 -0.04 -0.02 -0.00 0.01 0.06 0.16 -0.11 0.02 0.25 -0.18 0.01 0.13 -0.16 0.27 0.28 -0.17 -0.15 -0.11 -0.03 0.16 -0.20 -0.04 0.22 -0.26 -0.01 0.20 0.08 -0.12 0.26 -0.06 -0.00 0.04 -0.07 0.01 0.05 -0.02 0.02 0.03 -0.00 0.05 0.04 0.01 -0.00 -0.01 0.04 0.02 -0.03 -0.01 -0.04 -0.03 0.01 -0.05 -0.05 -0.04 -0.05 -0.01 -0.05 -0.05 -0.04 -0.10 -0.09 -0.04 -0.07 0.01 -0.08 0.05 -0.04 -0.03 0.05 -0.08 -0.07 0.11 0.01 -0.04 0.01 -0.02 0.04 0.01 -0.03 0.05 0.01 -0.03 0.04 0.02 -0.04 0.01 0.03 -0.06 -0.02 0.02 -0.03 0.00 0.03 -0.05 -0.04 0.01 -0.00 0.05 0.00 0.00 0.05 0.01 -0.03 -0.05 -0.00 -0.03 -0.04 0.01 -0.03 -0.05 0.01 -0.02 -0.05 0.01 -0.02 -0.07 0.02 -0.05 -0.14 -0.01 0.02 0.04 -0.01 0.02 0.05 -0.01 0.03 0.07 0.01 0.01 0.02 0.01 0.01 0.02 0.02 -0.02 -0.07 0.03 -0.04 -0.13 0.01 -0.01 -0.03 -0.01 0.00 0.04 -0.01 0.01 0.08 -0.02 0.00 0.05 -0.03 0.02 0.10 -0.00 -0.01 -0.04 -0.01 -0.02 -0.07 0.01 -0.01 -0.05 -0.00 0.01 0.00 -0.00 0.01 0.01 -0.01 0.02 0.05 -0.01 0.03 0.08 0.00 0.01 0.02 -0.00 0.02 0.04 0.01 0.00 -0.02 0.05 -0.04 0.06 -0.02 0.07 -0.07 -0.03 0.06 -0.05 0.02 0.05 -0.08 0.08 0.01 0.02 -0.04 0.06 -0.03 -0.10 -0.07 -0.03 0.11 -0.11 0.01 0.19 -0.22 0.05 0.09 -0.12 0.21 0.17 -0.18 -0.18 -0.10 -0.05 0.11 -0.13 -0.08 0.15 -0.25 -0.03 0.14 0.03 -0.14 0.18 0.05 -0.01 -0.03 0.08 -0.03 -0.04 -0.02 0.00 -0.07 -0.06 0.00 -0.13 -0.01 -0.01 0.01 -0.04 -0.03 0.03 0.03 0.01 0.06 0.03 0.01 0.11 0.04 0.04 0.01 -0.03 0.07 -0.07 -0.13 0.03 -0.06 -0.01 0.09 -0.15 -0.14 0.04 -0.01 -0.14 0.06 0.09 -0.23 0.00 -0.02 -0.10 0.01 -0.06 -0.04 0.06 -0.09 -0.04 0.10 -0.13 0.01 0.05 -0.01 0.06 0.10 0.00 0.00 -0.02 0.05 0.05 -0.03 0.11 -0.05 -0.09 0.00 -0.04 -0.14 -0.01 -0.01 0.03 0.00 0.02 0.02 -0.02 -0.02 0.03 0.02 -0.00 0.01 0.02 -0.01 0.03 0.07 -0.01 0.05 0.14 0.01 -0.01 -0.01 0.01 -0.01 0.00 0.01 -0.03 -0.07 -0.00 -0.02 -0.03 -0.01 -0.02 -0.04 -0.02 0.02 0.06 -0.03 0.03 0.11 -0.01 0.01 0.04 0.01 0.00 -0.03 0.01 0.00 -0.07 0.02 -0.01 -0.05 0.04 -0.02 -0.12 0.01 0.01 0.03 0.02 0.01 0.04 -0.00 0.01 0.05 -0.00 -0.01 0.01 -0.00 -0.01 0.01 0.01 -0.03 -0.05 0.01 -0.03 -0.08 -0.00 -0.02 -0.04 0.00 -0.03 -0.04 -0.01 -0.00 0.03 0.03 0.09 0.00 0.02 -0.05 0.04 0.02 -0.03 0.03 -0.02 -0.04 0.02 -0.01 -0.08 0.06 -0.01 -0.03 -0.02 -0.02 -0.05 -0.04 -0.05 0.05 0.00 -0.08 0.10 -0.02 -0.04 0.05 -0.09 -0.07 0.08 0.09 0.05 0.02 -0.04 0.06 0.05 -0.07 0.12 0.02 -0.04 -0.01 0.05 -0.07 -0.01 -0.06 0.05 -0.00 -0.07 0.10 -0.04 0.03 -0.07 -0.08 0.12 -0.13 0.02 -0.02 -0.06 0.02 0.02 -0.12 0.07 -0.11 0.02 0.11 -0.14 0.02 -0.00 -0.09 0.00 -0.13 -0.05 -0.15 -0.35 -0.20 -0.15 -0.14 0.11 -0.34 -0.09 0.01 0.04 -0.09 0.08 0.13 -0.22 -0.02 0.01 -0.03 -0.03 -0.04 0.00 -0.01 -0.05 0.01 0.01 -0.08 0.01 0.01 0.02 0.01 0.04 0.06 0.00 -0.01 0.05 0.00 0.00 0.12 0.00 -0.06 -0.02 0.01 -0.09 -0.02 0.05 -0.10 0.06 0.05 -0.21 -0.01 0.11 -0.12 0.14 0.01 -0.01 0.07 -0.03 -0.00 0.06 -0.05 -0.00 0.10 -0.02 -0.01 -0.04 -0.04 -0.01 -0.07 0.01 0.01 -0.07 0.01 0.02 -0.01 0.02 0.02 0.01 -0.00 0.03 0.06 -0.01 0.05 0.12 0.01 0.01 0.01 -0.01 -0.04 -0.03 0.01 -0.07 -0.05 -0.04 -0.03 -0.02 -0.05 -0.05 -0.04 -0.06 0.01 0.03 -0.09 0.02 0.05 -0.02 0.03 0.01 -0.00 0.01 -0.03 0.00 0.00 -0.05 0.01 0.01 -0.03 0.01 0.02 -0.06 0.03 0.01 0.01 0.02 0.02 -0.03 0.01 0.02 -0.01 0.00 -0.00 -0.00 0.01 0.00 0.00 0.01 -0.00 -0.02 -0.04 0.02 0.04 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.02 0.03 -0.02 -0.21 0.38 -0.18 -0.13 -0.36 -0.06 0.41 0.11 0.20 -0.01 -0.05 0.01 -0.10 -0.28 0.29 -0.05 -0.18 -0.33 0.10 0.26 0.08 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.01 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.01 0.00 -0.00 -0.01 -0.00 -0.00 -0.00 0.00 -0.01 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.01 -0.00 0.00 0.01 0.00 -0.00 0.01 -0.01 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.01 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.01 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.02 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 0.00 -0.00 -0.01 -0.03 -0.02 -0.02 -0.00 -0.03 0.01 0.01 0.05 0.01 0.00 -0.00 0.03 -0.02 -0.00 0.02 0.02 0.01 -0.01 -0.00 -0.01 -0.00 -0.00 0.01 0.01 0.03 -0.03 -0.01 0.02 0.06 -0.01 -0.06 0.00 -0.00 -0.02 -0.02 -0.01 -0.01 -0.01 0.03 -0.01 -0.03 0.03 0.01 -0.02 0.04 -0.02 -0.04 0.05 -0.01 -0.04 0.03 -0.03 -0.04 0.04 -0.04 -0.06 -0.01 -0.03 -0.03 -0.05 -0.02 -0.03 -0.09 -0.05 -0.03 -0.05 0.02 -0.07 0.07 -0.04 -0.07 0.07 -0.10 -0.17 0.19 0.00 -0.05 0.03 -0.02 0.02 -0.01 -0.03 0.06 -0.01 -0.04 0.08 -0.00 -0.04 0.01 -0.00 -0.06 -0.00 0.01 -0.04 -0.02 0.01 -0.05 -0.08 0.00 0.01 0.04 -0.01 0.03 0.05 -0.02 0.18 -0.05 0.05 0.38 0.02 -0.04 0.21 -0.26 -0.01 0.10 0.14 0.04 0.08 0.09 0.05 0.10 0.11 0.07 -0.04 -0.09 0.15 -0.08 -0.17 -0.00 -0.09 -0.07 -0.05 -0.03 0.00 -0.09 -0.01 0.04 -0.07 0.02 0.09 -0.09 0.05 0.23 -0.06 -0.01 -0.03 0.01 0.05 -0.11 -0.01 0.10 -0.19 0.06 0.09 0.01 0.08 0.14 0.03 0.06 0.03 0.09 0.13 0.05 0.19 0.01 -0.07 -0.01 -0.00 -0.08 -0.07 0.00 -0.11 -0.16 -0.04 -0.04 0.05 -0.04 -0.04 0.06 -0.07 0.01 0.12 -0.05 -0.06 0.02 -0.04 -0.06 -0.02 -0.01 0.01 0.01 -0.00 -0.00 -0.00 -0.07 0.01 0.05 0.25 -0.07 -0.13 -0.01 -0.01 -0.01 0.00 -0.00 0.00 -0.01 0.00 -0.01 -0.06 -0.10 0.10 -0.19 -0.01 0.13 -0.16 -0.36 0.16 0.21 -0.13 0.01 -0.04 0.16 -0.07 -0.17 0.08 0.08 0.23 0.05 -0.34 -0.08 0.56 -0.08 -0.00 -0.01 -0.00 -0.01 -0.01 -0.00 0.01 -0.01 -0.00 0.02 -0.00 0.01 0.01 -0.01 -0.02 0.02 -0.00 -0.02 0.01 -0.02 -0.02 0.01 -0.02 -0.03 0.00 -0.02 -0.01 0.02 -0.01 0.02 0.06 0.02 0.02 0.02 -0.03 0.06 0.00 -0.01 -0.01 0.00 -0.02 -0.01 0.01 -0.01 -0.00 -0.01 0.00 -0.01 -0.00 0.02 -0.01 -0.01 0.03 -0.01 0.00 0.02 -0.00 0.01 0.02 0.01 0.01 0.01 -0.00 0.02 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.01 0.00 -0.01 0.01 -0.00 -0.00 0.02 0.01 -0.01 0.01 -0.02 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.01 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.01 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.01 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.02 0.01 0.01 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.01 -0.02 -0.00 -0.22 0.27 -0.09 -0.14 -0.38 -0.04 0.34 0.03 0.13 -0.01 0.01 0.00 0.12 0.27 -0.33 -0.02 0.16 0.41 -0.11 -0.41 -0.07 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.01 0.00 0.00 0.00 -0.00 0.01 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.03 0.01 0.04 -0.01 0.00 -0.01 0.02 0.00 -0.01 -0.03 0.01 0.02 -0.10 -0.06 -0.02 0.01 -0.05 -0.01 -0.10 0.01 -0.04 0.01 0.01 -0.02 0.02 0.00 -0.02 0.02 0.05 -0.04 -0.03 0.02 -0.01 0.02 -0.02 0.01 0.02 -0.03 0.02 -0.02 -0.02 0.02 0.03 -0.05 0.02 -0.11 0.02 -0.01 -0.18 0.08 -0.03 0.04 -0.01 0.06 0.10 0.02 0.15 0.07 -0.03 -0.03 0.15 -0.02 -0.01 -0.02 -0.05 -0.13 -0.01 -0.07 -0.22 -0.05 -0.11 -0.03 0.11 -0.09 0.15 0.38 0.12 0.17 0.08 -0.25 0.44 -0.01 -0.06 -0.06 -0.01 -0.15 -0.07 0.06 -0.05 -0.04 -0.09 0.02 -0.08 -0.03 0.12 -0.07 -0.04 0.21 -0.11 0.03 0.13 -0.02 0.06 0.17 0.01 0.05 0.06 -0.03 0.12 0.03 -0.00 -0.04 -0.01 -0.03 -0.04 -0.07 -0.01 0.01 -0.03 -0.01 0.01 -0.03 -0.01 0.03 -0.03 -0.02 0.00 -0.00 0.03 -0.01 -0.00 0.02 -0.02 -0.01 0.03 -0.01 -0.01 -0.02 -0.02 -0.01 -0.04 0.00 0.00 -0.03 0.00 0.01 -0.01 0.00 0.01 0.00 -0.00 0.01 0.02 -0.01 0.03 0.06 0.01 -0.00 -0.01 -0.00 -0.02 -0.01 0.00 -0.04 -0.02 -0.02 -0.01 0.01 -0.02 -0.01 0.02 -0.02 0.00 0.01 -0.04 0.01 0.03 -0.00 0.01 -0.02 0.01 -0.00 -0.02 0.02 -0.01 -0.04 0.00 0.01 0.02 0.01 0.01 0.03 0.01 0.01 0.04 0.01 0.01 0.00 0.01 0.01 -0.01 -0.01 0.02 0.01 0.00 -0.01 -0.00 0.01 -0.00 -0.00 -0.01 0.00 0.01 -0.03 -0.07 -0.01 0.02 0.02 0.08 0.02 -0.00 -0.02 0.00 0.01 -0.01 -0.00 0.01 -0.01 0.01 0.02 -0.02 -0.02 0.01 0.00 0.01 -0.01 0.00 0.01 -0.01 0.00 0.00 -0.01 0.01 0.02 -0.02 0.01 -0.02 -0.05 0.01 -0.04 -0.03 0.05 0.04 0.00 -0.04 0.05 0.06 -0.03 0.07 -0.02 -0.07 0.10 -0.01 -0.09 0.06 -0.08 -0.06 0.11 -0.13 -0.09 -0.02 -0.08 -0.03 0.01 -0.02 0.05 0.07 -0.01 0.03 -0.03 -0.00 0.12 -0.11 0.07 0.16 -0.10 0.22 0.35 -0.36 -0.00 0.12 -0.00 0.01 0.02 0.03 -0.02 -0.04 0.04 -0.03 -0.06 -0.00 0.00 -0.00 -0.02 0.00 0.01 -0.02 0.03 0.04 -0.05 0.06 0.09 0.02 -0.00 -0.04 0.04 -0.02 -0.08 -0.02 0.11 0.02 -0.08 0.21 0.12 -0.06 0.12 -0.09 0.01 0.04 -0.10 0.07 0.04 -0.09 0.11 0.07 -0.11 0.07 0.01 0.05 0.14 0.02 0.10 0.01 -0.03 0.09 -0.01 -0.02 0.04 -0.03 -0.03 0.02 -0.00 -0.05 -0.07 0.02 -0.11 -0.16 -0.05 -0.01 -0.00 -0.00 0.09 0.03 -0.03 0.17 0.04 0.07 0.07 -0.03 0.10 0.10 -0.06 0.08 0.00 -0.03 0.17 -0.03 -0.08 -0.01 -0.04 0.05 -0.04 -0.01 0.05 -0.09 0.01 0.11 -0.03 -0.03 -0.07 -0.03 -0.02 -0.09 -0.03 -0.03 -0.11 -0.03 -0.05 -0.01 -0.04 -0.04 0.03 -0.01 -0.01 -0.00 -0.00 0.00 -0.00 -0.01 -0.01 -0.01 0.02 -0.00 0.02 -0.00 0.02 0.02 0.08 -0.01 -0.02 -0.02 -0.00 -0.01 0.01 0.01 -0.00 0.03 0.01 -0.03 0.01 0.02 0.02 0.01 0.01 0.02 -0.01 0.02 0.00 -0.04 0.04 -0.01 0.02 0.02 0.01 -0.01 0.03 0.00 -0.02 0.03 0.01 -0.02 0.04 -0.02 -0.03 0.01 0.04 -0.03 -0.01 0.04 -0.03 0.01 0.04 -0.03 0.01 0.05 -0.04 0.02 0.02 -0.07 0.05 0.02 0.01 0.02 0.01 0.02 -0.01 -0.02 -0.03 -0.03 -0.02 0.01 0.03 -0.06 0.03 -0.02 -0.01 0.03 -0.07 0.01 0.05 0.00 -0.02 -0.02 0.00 -0.02 -0.01 0.02 -0.01 -0.01 0.04 -0.02 0.01 0.02 -0.01 0.02 0.03 -0.01 0.01 0.00 0.00 0.02 -0.00 0.01 -0.01 -0.01 0.00 -0.01 -0.02 0.01 0.16 -0.06 0.03 0.22 -0.10 -0.03 0.15 -0.06 0.07 0.16 -0.10 0.06 0.22 -0.12 0.06 0.23 -0.13 0.05 0.19 -0.07 0.05 0.17 -0.07 0.03 0.14 -0.03 0.06 0.09 0.11 -0.00 -0.01 0.12 -0.02 0.05 0.09 -0.04 0.10 -0.03 -0.02 -0.11 0.12 -0.07 -0.15 0.17 -0.06 -0.15 0.15 -0.04 -0.18 0.18 -0.09 -0.17 0.20 -0.10 -0.14 0.08 -0.07 -0.05 0.07 -0.06 -0.16 0.01 -0.02 -0.12 -0.12 0.04 -0.04 -0.13 0.08 -0.08 -0.13 0.01 -0.11 -0.05 -0.03 0.07 -0.13 0.04 0.03 -0.04 0.02 -0.07 0.00 -0.01 0.01 0.00 0.01 -0.00 -0.00 -0.00 -0.09 -0.12 -0.12 0.13 -0.03 0.23 0.01 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.01 -0.02 0.12 0.08 -0.09 0.35 0.12 -0.35 0.17 0.25 0.05 0.03 0.16 0.14 -0.09 0.14 0.03 -0.38 0.37 0.00 0.16 0.18 0.15 0.03 0.20 0.11 0.00 0.00 -0.01 0.00 0.00 -0.01 -0.00 -0.00 -0.00 -0.00 -0.00 -0.01 0.00 -0.00 0.01 0.00 -0.01 0.01 -0.00 0.00 -0.00 -0.01 0.01 -0.00 0.00 0.01 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.01 -0.00 -0.01 0.00 0.00 -0.01 0.02 0.02 -0.03 -0.01 0.00 -0.00 -0.00 -0.01 -0.01 0.01 0.01 -0.02 0.02 0.03 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.01 0.01 0.01 0.00 -0.00 0.00 -0.01 -0.01 -0.00 0.01 -0.00 0.01 -0.00 0.01 -0.01 -0.01 0.01 -0.01 -0.01 0.01 -0.01 -0.01 0.01 -0.00 -0.00 0.01 0.00 -0.01 0.00 -0.00 -0.01 -0.01 -0.00 -0.00 -0.01 -0.00 -0.01 -0.01 0.00 -0.01 -0.00 0.00 -0.00 -0.01 0.00 0.01 -0.01 0.00 0.00 -0.00 -0.00 0.01 -0.01 0.00 0.02 -0.01 0.00 0.01 -0.01 0.01 0.01 -0.01 0.01 0.01 -0.01 0.00 0.01 0.00 -0.00 -0.00 0.00 -0.01 0.01 0.01 -0.00 0.01 0.00 0.00 -0.00 0.01 -0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 -0.01 -0.01 -0.01 -0.00 -0.00 0.00 0.00 0.00 0.01 -0.00 0.00 -0.01 0.01 0.02 0.02 0.08 -0.02 0.02 -0.05 -0.00 -0.01 -0.01 -0.00 0.01 -0.02 0.00 0.02 -0.01 -0.02 0.01 0.01 -0.01 0.00 0.00 -0.00 -0.00 0.02 -0.01 -0.01 -0.00 -0.00 -0.01 -0.01 -0.01 -0.01 -0.01 0.03 -0.00 -0.02 0.04 -0.04 -0.03 0.00 0.03 -0.03 -0.02 0.03 -0.03 0.00 0.04 -0.03 -0.00 0.05 -0.04 0.03 0.01 -0.07 0.06 0.01 0.02 0.02 0.01 -0.00 -0.02 -0.04 -0.10 -0.11 -0.06 -0.01 0.07 -0.14 0.08 -0.04 -0.01 0.08 -0.19 -0.07 0.21 -0.00 0.01 -0.04 0.01 -0.02 -0.02 0.03 -0.04 -0.01 0.06 -0.08 0.01 0.04 0.00 0.02 0.06 0.01 0.02 0.01 0.00 0.04 0.00 0.02 -0.01 -0.02 -0.02 -0.00 -0.06 -0.02 0.16 -0.09 0.09 0.08 -0.36 -0.02 0.34 -0.13 0.29 0.07 0.11 0.01 -0.00 0.13 -0.04 -0.03 0.10 -0.04 0.00 0.10 -0.07 0.08 0.08 -0.10 -0.05 0.05 -0.00 -0.07 0.01 0.03 -0.01 0.01 0.08 -0.13 -0.08 -0.04 -0.11 -0.13 -0.05 -0.12 -0.07 -0.03 -0.05 0.03 0.01 -0.10 0.14 0.02 0.07 0.02 0.01 0.13 0.09 0.00 0.10 -0.08 0.01 0.18 -0.10 -0.01 0.01 -0.12 0.06 -0.02 -0.04 0.06 -0.14 -0.02 0.06 0.07 0.04 -0.04 0.07 0.04 -0.08 0.05 0.07 -0.03 0.00 0.02 -0.00 -0.07 -0.09 0.01 -0.01 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.01 -0.01 -0.00 -0.00 0.01 0.01 -0.02 -0.03 -0.01 0.05 0.08 -0.04 -0.00 0.00 0.00 0.00 -0.01 0.01 0.01 -0.02 0.01 0.01 -0.01 -0.00 0.01 0.00 0.00 0.00 0.00 -0.01 0.01 0.00 0.01 0.00 0.01 0.01 -0.00 0.01 0.02 -0.03 -0.02 0.02 -0.03 -0.00 0.04 -0.01 -0.04 0.04 -0.00 -0.04 0.03 -0.01 -0.03 0.02 -0.01 -0.03 0.04 -0.00 -0.02 0.05 -0.02 -0.03 -0.01 -0.00 -0.01 -0.06 0.04 -0.01 -0.14 -0.07 -0.03 -0.08 0.13 -0.09 0.10 -0.04 -0.03 0.10 -0.23 -0.23 0.37 -0.01 0.04 -0.03 0.00 -0.03 -0.02 0.01 -0.04 -0.01 0.03 -0.07 -0.00 0.03 0.02 0.01 0.06 0.04 0.01 -0.01 -0.00 0.04 -0.02 0.00 -0.01 -0.03 -0.01 0.00 -0.06 -0.02 -0.05 0.10 0.10 0.00 0.20 0.12 -0.12 0.11 0.01 -0.02 -0.00 0.12 -0.02 -0.04 0.05 -0.03 -0.05 0.06 -0.01 -0.06 -0.10 -0.02 -0.10 -0.25 -0.02 0.01 0.04 -0.03 0.05 0.11 -0.07 0.08 0.21 0.04 0.00 -0.10 0.04 0.02 -0.17 0.06 -0.01 -0.08 -0.00 -0.01 0.09 -0.01 -0.01 0.23 -0.03 -0.03 0.01 -0.05 -0.05 0.03 -0.02 -0.02 -0.09 -0.05 -0.05 -0.21 -0.01 0.06 0.05 0.00 0.05 0.12 0.03 0.06 0.21 0.02 -0.06 -0.10 0.04 -0.08 -0.20 0.01 -0.04 -0.03 0.00 0.00 0.01 0.03 0.03 -0.02 0.02 0.01 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.02 0.06 -0.01 0.08 -0.10 -0.09 -0.06 0.07 -0.02 -0.09 -0.00 -0.00 0.01 -0.00 -0.00 0.01 -0.00 -0.00 0.02 0.00 -0.00 0.00 -0.01 0.00 -0.00 0.00 -0.00 -0.00 -0.01 -0.00 -0.01 -0.01 0.00 -0.01 -0.03 0.05 -0.05 -0.08 0.10 -0.17 -0.02 -0.01 0.02 -0.03 -0.02 -0.00 0.00 -0.02 0.07 0.02 -0.05 0.11 -0.06 0.07 -0.03 -0.14 0.14 -0.10 0.04 0.01 0.05 0.01 -0.08 -0.01 0.01 -0.02 0.02 0.07 -0.19 -0.03 -0.10 -0.02 -0.03 -0.10 0.15 0.03 -0.25 -0.07 -0.05 0.05 -0.03 -0.03 -0.01 0.04 0.12 -0.07 0.10 0.26 0.04 -0.03 -0.07 0.05 -0.09 -0.16 0.00 0.04 -0.02 -0.01 0.05 -0.02 -0.04 0.08 0.08 -0.12 0.15 0.21 -0.04 -0.09 -0.02 -0.06 -0.19 -0.07 0.06 -0.11 0.03 -0.07 0.04 0.05 -0.01 0.04 0.07 0.02 0.11 0.10 0.05 -0.08 -0.08 0.09 -0.13 -0.19 0.03 -0.05 0.02 0.03 -0.03 0.10 0.00 -0.00 0.20 0.06 -0.06 -0.03 0.06 -0.07 -0.02 0.02 -0.04 -0.06 0.04 0.05 0.03 0.02 0.11 0.09 0.04 0.06 0.01 0.02 0.05 0.04 0.04 0.04 -0.07 0.09 0.01 -0.13 -0.02 0.02 0.03 -0.06 0.07 0.04 -0.09 0.08 0.07 -0.05 0.02 -0.09 -0.02 -0.01 -0.16 -0.05 0.03 -0.02 -0.02 -0.01 0.03 -0.01 -0.01 0.00 -0.01 0.00 0.01 0.00 -0.00 -0.01 0.00 0.00 0.00 -0.01 -0.00 -0.02 0.00 -0.05 0.03 0.03 0.07 -0.06 0.09 -0.07 -0.09 -0.00 -0.00 0.00 -0.01 -0.01 0.01 -0.00 -0.01 0.00 0.00 -0.01 -0.01 0.00 -0.00 0.00 0.01 -0.01 0.00 -0.01 -0.00 -0.00 -0.00 -0.01 -0.00 -0.03 -0.00 0.00 -0.05 0.02 0.00 -0.00 0.02 -0.02 -0.01 0.05 -0.03 0.04 -0.02 0.01 0.09 -0.03 0.04 -0.00 -0.02 -0.04 0.00 -0.03 -0.08 -0.03 -0.03 -0.02 0.02 0.06 0.03 0.11 0.16 0.05 -0.00 0.03 0.15 -0.07 0.06 -0.01 -0.07 0.21 0.14 -0.28 -0.02 -0.03 0.05 -0.02 -0.04 -0.05 0.03 0.14 -0.12 0.07 0.33 0.03 -0.08 -0.08 0.07 -0.13 -0.19 -0.02 -0.03 0.01 -0.04 -0.02 0.02 -0.04 0.04 0.12 -0.13 0.14 0.27 0.09 0.09 -0.03 0.17 0.19 -0.03 0.01 0.10 -0.10 0.10 -0.02 0.04 -0.00 -0.01 0.01 -0.07 -0.10 0.02 -0.05 0.07 -0.05 -0.08 0.07 -0.08 -0.05 0.08 -0.03 -0.07 0.09 -0.02 -0.06 0.10 0.01 -0.08 0.05 -0.06 -0.08 0.06 -0.08 -0.02 0.02 -0.02 -0.07 -0.05 0.02 -0.06 -0.09 0.06 -0.05 -0.08 0.01 -0.03 -0.05 -0.01 -0.03 -0.09 0.01 -0.07 -0.10 -0.02 0.02 -0.03 0.04 0.06 -0.07 0.04 0.08 -0.07 0.06 0.09 -0.06 0.00 0.08 -0.03 -0.02 0.09 -0.04 0.01 0.04 0.03 -0.01 0.01 0.00 0.01 -0.01 0.00 -0.01 0.00 -0.01 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.12 -0.09 0.14 0.05 0.01 0.07 -0.02 -0.02 -0.05 -0.00 0.00 0.01 -0.00 0.00 0.01 -0.00 0.00 0.00 -0.01 0.00 0.01 0.00 -0.00 -0.00 0.01 0.00 -0.00 0.01 -0.00 -0.00 -0.00 0.00 -0.00 -0.06 0.06 -0.12 -0.20 0.19 -0.34 0.02 -0.01 -0.01 -0.00 0.00 -0.05 0.07 -0.05 0.08 0.11 -0.11 0.17 -0.07 0.10 -0.13 -0.21 0.22 -0.33 0.06 -0.04 0.09 -0.05 -0.01 -0.01 -0.29 -0.16 -0.01 -0.04 0.13 -0.23 0.05 -0.01 0.06 0.06 -0.13 0.01 0.17 0.03 0.07 -0.05 0.02 0.02 -0.02 0.02 -0.02 -0.02 0.04 -0.04 0.03 0.00 -0.04 0.07 -0.01 -0.09 -0.01 0.02 0.05 -0.01 0.03 0.09 -0.00 -0.02 -0.01 0.01 -0.06 -0.03 -0.01 0.06 0.03 -0.03 0.15 0.10 -0.07 0.07 -0.05 0.01 -0.01 -0.03 0.01 -0.02 -0.05 0.01 -0.03 -0.07 -0.02 0.02 0.06 -0.02 0.04 0.13 -0.01 -0.01 0.01 -0.01 -0.02 -0.04 -0.01 -0.04 -0.10 0.00 0.02 0.02 -0.01 0.04 0.00 0.02 0.02 0.04 0.02 -0.02 -0.01 0.03 -0.05 -0.04 -0.01 -0.02 -0.01 -0.01 -0.03 -0.03 -0.02 0.01 0.03 -0.04 0.03 0.06 0.01 0.01 -0.02 0.01 -0.00 -0.03 0.04 -0.01 -0.04 -0.01 -0.00 0.04 -0.02 0.01 0.08 -0.01 -0.01 0.00 0.00 -0.01 -0.02 0.02 0.01 -0.00 0.01 -0.00 -0.01 -0.00 0.00 0.00 -0.00 0.00 0.00 0.01 -0.00 0.01 0.04 -0.01 0.06 -0.04 -0.08 -0.09 -0.04 0.09 0.16 -0.00 0.00 0.01 0.01 -0.00 0.00 0.00 0.01 0.02 -0.00 0.00 0.01 -0.01 0.01 -0.00 -0.01 0.01 -0.01 -0.00 0.01 -0.00 -0.01 0.01 -0.01 -0.03 0.04 -0.04 -0.08 0.10 -0.14 -0.01 -0.01 0.04 -0.02 -0.02 0.03 -0.01 -0.01 0.04 -0.02 -0.01 0.04 -0.05 0.05 -0.02 -0.12 0.11 -0.09 0.05 -0.02 0.06 0.02 -0.08 -0.00 -0.01 -0.01 0.04 0.07 -0.15 -0.03 -0.11 0.03 0.02 -0.11 0.17 0.15 -0.30 0.04 -0.07 0.01 0.01 0.08 0.08 -0.08 -0.09 0.16 -0.18 -0.24 -0.05 0.02 0.11 -0.14 0.05 0.22 0.00 0.01 -0.04 0.00 -0.00 -0.10 0.06 -0.00 -0.09 0.15 -0.05 -0.26 0.03 0.04 -0.11 0.10 0.22 -0.06 -0.01 0.07 -0.29 0.04 -0.00 0.04 -0.01 0.01 0.06 -0.04 -0.01 0.09 -0.01 0.01 -0.07 -0.02 -0.01 -0.14 -0.02 0.03 -0.02 -0.04 0.06 0.02 -0.06 0.08 0.08 -0.03 0.03 -0.04 -0.04 0.05 -0.04 0.01 0.00 -0.04 -0.03 -0.02 0.02 -0.02 -0.04 0.06 -0.02 -0.03 0.02 -0.02 -0.02 0.04 -0.01 -0.06 -0.02 -0.02 -0.07 -0.07 0.01 -0.01 0.03 0.03 -0.02 0.04 0.03 -0.02 0.06 0.04 -0.04 -0.03 0.03 -0.02 -0.06 0.04 -0.02 0.00 0.01 0.02 0.02 0.01 0.00 0.01 0.01 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.03 -0.04 0.02 -0.12 0.02 0.02 0.01 0.01 0.03 0.00 0.00 -0.01 0.00 0.00 -0.01 0.00 0.00 -0.01 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.01 -0.02 -0.04 -0.02 0.01 -0.06 0.04 -0.01 -0.05 0.03 0.01 -0.06 0.04 -0.01 -0.00 0.03 -0.03 0.02 0.01 0.03 -0.03 0.00 0.03 -0.08 -0.01 -0.00 0.02 -0.04 0.02 0.03 -0.03 0.05 0.04 -0.02 -0.04 0.04 -0.01 -0.00 -0.04 -0.02 0.00 -0.17 0.08 -0.02 0.00 0.02 -0.01 -0.01 0.01 -0.01 0.00 0.02 -0.03 0.00 -0.01 0.00 0.02 -0.03 0.01 0.05 0.00 -0.01 -0.02 0.01 -0.01 -0.05 0.00 0.01 0.00 -0.00 0.02 0.01 -0.17 -0.01 0.03 -0.15 0.00 0.02 -0.22 -0.01 0.05 -0.10 -0.07 0.01 -0.01 -0.09 0.01 -0.00 -0.09 -0.00 -0.01 0.06 -0.01 -0.20 0.09 -0.03 0.13 0.19 -0.04 0.23 0.09 0.00 0.41 0.07 0.03 0.06 -0.10 0.05 0.14 -0.33 0.13 -0.18 -0.05 -0.01 -0.15 0.02 -0.03 -0.19 0.15 -0.08 0.04 0.02 -0.01 0.10 0.10 -0.03 0.06 -0.02 0.03 0.08 -0.02 0.04 0.01 -0.06 0.02 0.07 -0.10 0.04 0.03 -0.10 0.02 0.12 -0.02 0.03 0.11 0.01 0.01 0.00 0.02 0.00 -0.02 0.14 -0.06 -0.14 -0.01 -0.03 -0.01 0.00 -0.01 -0.00 0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.04 -0.12 0.10 0.00 0.15 -0.07 0.00 0.01 0.10 0.00 -0.00 -0.00 -0.01 0.00 -0.00 -0.00 -0.01 -0.01 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.01 0.00 0.00 0.01 0.00 0.00 -0.02 -0.01 0.02 -0.05 0.01 0.04 -0.04 0.06 -0.07 -0.09 0.14 -0.15 0.09 -0.05 0.06 0.20 -0.11 0.17 -0.03 -0.02 -0.08 -0.03 -0.02 -0.15 -0.06 -0.02 -0.05 0.04 0.16 0.03 0.23 0.34 0.06 -0.00 0.07 0.27 0.02 0.09 -0.07 0.02 0.08 -0.13 0.08 0.10 -0.06 0.03 0.03 0.01 -0.00 -0.06 -0.03 0.03 -0.15 -0.07 -0.06 -0.04 0.05 -0.06 -0.00 0.11 -0.02 -0.09 -0.00 -0.02 -0.10 -0.05 0.03 -0.04 0.01 0.06 -0.03 -0.06 0.02 -0.07 0.02 0.02 -0.36 -0.14 0.10 -0.11 0.33 -0.01 0.01 -0.00 -0.01 0.02 0.02 -0.00 0.04 0.04 0.01 -0.03 -0.01 0.04 -0.04 -0.03 0.00 -0.04 0.00 -0.00 -0.03 0.02 -0.02 -0.03 0.03 0.01 -0.02 0.01 0.00 -0.01 0.02 0.01 -0.01 -0.01 0.03 0.02 -0.01 0.02 0.02 -0.01 0.00 0.03 0.01 -0.01 0.02 0.03 0.00 0.03 -0.02 0.02 0.02 -0.03 -0.01 0.01 -0.01 -0.03 0.03 -0.01 -0.04 0.03 -0.00 -0.03 0.02 -0.01 -0.02 0.00 -0.01 -0.01 0.01 -0.00 -0.01 -0.01 0.02 0.00 -0.00 0.01 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.01 -0.01 0.02 -0.00 0.03 -0.02 -0.03 0.03 -0.04 -0.07 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 -0.01 0.00 0.01 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.01 0.00 0.00 -0.00 0.00 -0.00 0.00 0.01 0.04 0.04 -0.03 0.08 -0.04 0.02 0.01 -0.05 0.02 0.00 -0.01 -0.01 0.02 0.02 -0.01 0.03 -0.01 -0.02 0.01 0.01 -0.03 0.06 -0.01 0.02 -0.05 0.05 -0.01 -0.02 0.14 0.03 -0.02 0.04 -0.05 0.06 0.03 0.04 0.03 0.04 -0.14 -0.06 0.21 0.21 -0.03 -0.09 0.10 0.17 -0.03 0.00 0.00 0.01 -0.05 -0.10 0.05 -0.06 -0.12 0.17 -0.15 -0.34 -0.08 0.04 0.17 -0.15 0.10 0.30 0.06 -0.07 -0.09 0.16 -0.16 -0.28 -0.00 -0.01 -0.08 -0.02 0.04 -0.04 -0.02 -0.01 -0.13 -0.00 -0.03 -0.05 -0.01 0.03 0.10 -0.04 0.06 0.22 0.01 0.01 -0.08 -0.02 -0.01 -0.14 0.01 0.02 -0.04 0.03 -0.01 0.03 0.05 0.01 0.10 0.01 -0.04 0.02 0.01 -0.05 0.06 -0.01 -0.03 -0.03 0.00 -0.03 -0.05 -0.00 -0.02 -0.10 -0.00 0.02 0.08 -0.03 0.05 0.19 0.01 0.01 -0.07 -0.00 -0.00 -0.12 0.01 0.02 -0.03 0.03 -0.01 0.02 0.06 -0.01 0.07 0.01 -0.03 0.02 -0.00 -0.03 0.09 -0.01 -0.03 -0.03 -0.04 0.05 0.05 -0.04 0.05 0.06 -0.01 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.01 0.00 -0.00 0.07 0.02 0.01 -0.02 0.01 0.02 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.01 0.01 -0.01 -0.03 0.03 -0.04 0.01 -0.01 0.03 0.02 -0.02 0.04 -0.01 0.01 -0.01 -0.03 0.03 -0.05 -0.00 -0.01 0.00 -0.01 0.01 -0.02 0.02 -0.02 0.02 0.00 0.01 -0.01 -0.09 -0.05 -0.01 -0.01 0.09 -0.08 -0.00 -0.01 0.02 0.00 0.08 0.16 -0.17 -0.09 0.03 0.03 -0.04 -0.08 0.00 0.00 -0.01 -0.02 0.03 0.04 -0.02 0.03 0.05 -0.07 0.08 0.15 0.04 -0.03 -0.07 0.07 -0.05 -0.12 -0.03 0.02 0.05 -0.08 0.06 0.14 0.08 0.01 0.02 0.04 -0.05 0.00 0.13 0.00 0.07 0.05 0.00 -0.02 0.04 0.07 0.02 -0.03 0.03 0.09 0.01 0.14 -0.08 0.02 0.13 -0.08 -0.06 0.03 -0.03 -0.00 -0.15 0.09 0.09 -0.15 0.14 0.01 -0.17 0.02 0.01 -0.17 -0.03 -0.02 -0.07 0.04 0.04 -0.05 -0.01 0.02 -0.00 -0.10 0.02 0.01 0.04 -0.06 -0.08 0.08 -0.03 0.18 -0.08 -0.14 0.19 -0.15 0.01 0.17 -0.06 0.11 -0.04 -0.00 0.32 -0.06 0.06 -0.01 -0.17 0.09 0.00 -0.23 0.23 -0.07 -0.12 -0.04 -0.12 0.04 -0.04 -0.08 0.14 0.02 -0.00 -0.00 0.01 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.04 0.00 -0.06 0.01 0.09 -0.02 0.02 -0.02 0.01 0.00 -0.00 -0.01 -0.00 0.00 -0.00 0.00 -0.00 -0.01 0.00 -0.00 -0.01 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.01 -0.00 0.00 -0.06 0.02 -0.10 -0.20 0.14 -0.26 0.14 -0.09 0.11 0.21 -0.14 0.21 -0.04 0.07 -0.13 -0.20 0.19 -0.33 0.04 -0.01 0.01 0.01 0.01 -0.10 0.08 -0.10 0.17 -0.04 0.07 0.04 -0.29 0.08 0.11 -0.03 0.15 -0.10 -0.00 0.07 -0.02 -0.00 0.10 -0.01 -0.02 0.04 -0.01 0.02 0.02 -0.02 -0.02 -0.01 -0.00 -0.02 -0.04 0.03 -0.03 -0.02 -0.00 -0.01 0.00 0.01 -0.02 -0.06 0.01 -0.02 -0.06 0.01 0.01 -0.02 0.02 -0.00 0.00 0.03 -0.00 -0.04 -0.00 -0.02 -0.18 -0.07 0.01 -0.06 0.17 -0.00 -0.02 -0.06 -0.02 0.02 0.06 -0.02 0.07 0.16 0.01 -0.05 -0.03 0.02 -0.05 -0.03 0.02 -0.02 -0.02 0.00 0.03 0.00 -0.02 0.04 0.02 0.00 0.03 0.00 0.00 0.03 0.02 0.00 0.01 -0.01 0.00 -0.01 -0.07 0.02 -0.04 -0.14 -0.02 0.03 0.08 -0.02 0.08 0.18 0.01 -0.05 -0.04 0.05 -0.06 -0.07 0.01 -0.04 -0.03 -0.02 0.01 -0.00 -0.07 0.03 0.04 -0.00 0.04 0.01 -0.01 0.06 0.08 0.02 0.01 -0.06 0.01 0.00 0.05 -0.00 0.00 0.08 -0.00 -0.00 -0.01 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.01 0.03 -0.01 0.03 0.04 -0.03 0.08 -0.04 0.02 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.04 -0.02 0.04 0.10 -0.07 0.12 -0.06 0.05 -0.07 -0.10 0.07 -0.12 0.03 -0.03 0.06 0.10 -0.10 0.18 -0.02 0.02 -0.01 -0.00 0.00 0.03 -0.04 0.05 -0.08 -0.00 -0.02 -0.02 0.04 -0.13 -0.08 -0.03 0.04 -0.03 0.02 -0.06 0.06 0.02 -0.01 0.14 -0.08 -0.14 0.09 0.02 -0.06 -0.09 0.01 0.02 -0.01 -0.02 0.08 0.03 0.00 0.05 0.05 -0.06 0.09 0.15 0.06 0.01 -0.08 0.09 -0.02 -0.12 -0.05 0.04 0.04 -0.10 0.06 0.16 -0.05 0.00 0.01 -0.14 0.04 0.09 -0.06 0.01 -0.03 -0.02 -0.01 -0.12 -0.01 0.04 0.08 0.00 0.16 0.26 0.04 -0.06 -0.04 0.07 -0.06 -0.02 0.03 -0.04 -0.02 -0.00 0.07 -0.00 -0.07 0.08 0.00 0.01 0.08 -0.02 0.02 0.07 -0.03 -0.01 0.05 -0.00 -0.04 -0.04 -0.13 0.00 -0.13 -0.27 -0.05 0.02 0.15 -0.04 0.12 0.30 0.02 -0.12 -0.06 0.03 -0.14 -0.12 0.05 -0.06 -0.05 0.03 0.01 -0.01 -0.02 0.04 0.08 0.02 0.04 0.05 -0.00 0.05 0.22 0.00 -0.01 -0.12 -0.01 -0.01 0.06 -0.01 0.03 0.15 0.01 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.01 -0.08 -0.01 -0.02 0.02 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.01 -0.01 -0.01 0.00 -0.02 0.02 -0.01 -0.00 0.02 -0.01 0.00 0.00 0.01 -0.01 -0.02 0.01 -0.02 0.01 0.01 0.00 0.01 0.01 -0.00 -0.00 -0.00 0.01 -0.02 -0.01 0.02 0.02 0.05 0.03 0.01 -0.09 0.04 -0.01 -0.00 -0.04 -0.02 -0.03 -0.16 0.11 0.04 -0.03 -0.01 0.02 0.04 0.01 -0.01 0.01 0.02 -0.03 -0.02 0.01 -0.02 -0.02 0.02 -0.04 -0.07 -0.02 0.01 0.03 -0.03 0.02 0.04 0.02 -0.01 -0.02 0.04 -0.02 -0.07 -0.03 -0.03 0.03 -0.09 -0.24 -0.05 0.14 -0.07 0.20 -0.04 0.08 -0.01 0.06 0.07 -0.03 0.11 0.15 -0.02 0.09 -0.01 0.03 0.17 0.01 0.16 0.02 -0.09 -0.03 -0.05 0.04 0.11 -0.18 0.10 0.23 0.04 0.04 -0.14 0.05 0.02 -0.26 -0.04 0.08 0.01 -0.13 -0.01 0.04 -0.11 -0.06 0.02 -0.05 -0.07 -0.05 0.03 -0.05 -0.21 -0.02 -0.06 0.06 -0.08 -0.08 -0.05 0.07 0.06 0.09 0.15 0.01 -0.11 0.23 -0.05 -0.27 0.04 -0.00 0.12 0.07 -0.10 0.25 -0.07 -0.01 -0.01 -0.03 -0.10 -0.14 -0.02 0.05 0.06 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.05 0.01 0.00 -0.01 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.01 0.01 -0.00 0.02 -0.01 0.01 0.00 -0.02 0.01 -0.00 -0.00 -0.00 0.01 0.01 -0.01 0.01 -0.01 -0.01 -0.00 -0.01 -0.01 0.01 -0.00 0.00 -0.01 0.01 0.01 -0.01 -0.00 -0.02 -0.02 -0.00 0.05 -0.02 0.02 -0.00 0.01 0.02 0.00 0.06 -0.01 -0.01 0.01 0.00 -0.00 -0.02 -0.01 0.00 -0.01 -0.01 0.01 -0.00 -0.00 0.01 0.01 -0.00 0.02 0.03 0.01 -0.01 -0.01 0.01 -0.01 -0.01 -0.01 -0.00 0.01 -0.02 0.00 0.03 0.02 0.02 -0.02 0.08 0.20 0.04 -0.12 0.05 -0.17 0.03 -0.07 0.01 -0.06 -0.07 0.04 -0.12 -0.09 0.13 -0.09 -0.01 -0.01 -0.21 0.06 0.12 0.03 0.02 -0.14 0.00 0.06 0.13 0.05 0.12 0.38 0.01 -0.09 -0.11 0.02 -0.12 -0.15 0.04 -0.05 0.03 0.11 0.04 0.04 0.11 0.04 -0.04 0.05 0.05 -0.01 0.02 -0.03 -0.09 0.02 0.04 -0.02 0.14 -0.02 -0.16 -0.10 -0.02 0.11 -0.12 -0.07 -0.14 -0.15 -0.13 -0.38 -0.08 0.10 0.11 -0.13 0.21 0.08 0.07 0.02 0.01 0.10 -0.01 -0.14 -0.01 -0.00 0.15 0.01 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.01 -0.13 -0.03 -0.02 0.01 0.01 0.01 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.01 -0.00 0.00 0.01 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.01 -0.03 -0.01 0.02 -0.04 0.01 0.03 -0.01 -0.05 0.03 -0.01 -0.05 0.02 0.01 0.00 -0.00 -0.02 0.03 0.02 0.04 0.01 0.03 0.02 0.00 -0.03 0.02 0.01 -0.06 -0.02 0.04 0.01 0.05 0.05 -0.02 -0.13 0.09 -0.04 -0.03 -0.07 -0.05 -0.04 -0.22 0.10 0.01 -0.04 -0.00 -0.00 0.03 0.02 -0.01 0.02 0.03 -0.02 -0.01 0.01 -0.01 -0.01 0.00 -0.04 -0.05 -0.01 0.03 0.01 -0.02 0.04 0.01 0.01 0.01 -0.03 0.03 -0.00 -0.06 0.01 0.00 0.06 0.05 -0.08 -0.01 0.08 -0.01 0.11 0.03 0.03 0.06 -0.00 0.04 0.00 -0.03 0.00 0.00 -0.00 0.05 -0.10 0.02 -0.00 -0.25 -0.04 0.09 0.13 -0.01 0.05 0.02 0.04 -0.03 -0.21 0.01 0.01 -0.05 0.05 -0.05 -0.38 0.04 0.06 0.20 0.11 -0.01 -0.02 0.15 -0.10 -0.19 0.02 0.00 -0.01 -0.01 -0.05 -0.04 -0.02 0.03 0.06 0.01 0.07 0.22 -0.03 -0.09 -0.15 -0.08 -0.09 -0.00 -0.13 -0.02 0.25 -0.08 -0.05 0.04 -0.14 0.06 0.33 0.04 -0.08 -0.16 0.03 -0.00 -0.03 0.03 -0.01 0.03 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.01 -0.01 -0.08 -0.01 0.01 0.00 0.01 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.01 -0.03 -0.02 0.01 -0.03 0.01 0.04 -0.01 -0.04 0.04 -0.01 -0.05 0.02 0.01 0.00 -0.01 -0.02 0.03 0.02 0.04 0.01 0.03 0.02 -0.01 -0.03 0.02 0.02 -0.05 -0.01 0.04 -0.03 0.02 0.04 -0.04 -0.06 0.05 -0.02 -0.03 -0.02 -0.03 -0.05 -0.12 0.07 -0.02 0.00 -0.00 -0.01 0.02 0.02 -0.01 0.01 0.02 -0.00 0.00 0.01 -0.00 -0.00 -0.00 -0.02 -0.02 0.00 0.03 -0.00 -0.00 0.03 0.00 0.00 0.01 -0.02 0.01 0.00 -0.03 -0.02 -0.03 0.03 -0.09 -0.21 -0.03 0.08 -0.06 0.19 -0.00 0.04 -0.05 0.03 0.08 -0.11 0.01 0.05 -0.13 0.00 0.17 0.05 -0.01 0.24 0.25 0.01 0.03 -0.14 0.03 0.06 -0.07 -0.02 0.11 0.07 0.05 0.11 0.04 -0.01 0.24 0.26 0.12 -0.00 -0.11 0.11 -0.03 -0.01 0.13 -0.08 0.07 0.00 0.01 0.09 -0.04 -0.00 0.20 0.02 -0.06 -0.09 0.09 -0.11 -0.24 -0.06 -0.03 0.12 -0.08 -0.14 0.06 0.00 -0.20 -0.08 -0.10 -0.16 -0.01 -0.07 -0.21 -0.19 -0.07 -0.04 0.09 -0.02 0.00 0.01 0.03 0.01 0.05 -0.01 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.01 0.02 0.13 0.03 0.02 -0.01 -0.01 -0.01 0.00 0.00 -0.01 -0.00 -0.00 -0.00 0.00 -0.00 -0.01 0.00 -0.00 -0.01 0.01 -0.00 0.00 0.00 -0.00 0.00 0.01 -0.00 0.00 0.01 -0.00 0.00 -0.02 0.06 0.02 -0.04 0.07 -0.03 -0.06 0.01 0.09 -0.07 0.01 0.09 -0.04 -0.02 -0.01 0.01 0.04 -0.08 -0.02 -0.07 -0.01 -0.07 -0.03 0.00 0.07 -0.03 -0.03 0.10 0.02 -0.08 0.04 -0.05 -0.09 0.07 0.12 -0.13 0.06 0.05 0.07 0.07 0.07 0.22 -0.07 0.03 0.04 0.01 0.02 -0.05 -0.04 0.01 -0.04 -0.05 0.02 -0.00 -0.02 0.01 0.01 -0.00 0.07 0.06 0.01 -0.06 -0.01 0.02 -0.06 -0.00 -0.01 -0.02 0.04 -0.03 0.00 0.09 -0.07 -0.04 -0.06 -0.18 -0.10 -0.02 -0.02 -0.05 -0.01 -0.09 0.03 -0.06 -0.06 0.10 0.08 -0.05 0.15 0.14 0.00 0.02 -0.11 0.00 -0.02 -0.27 0.02 0.08 0.04 0.09 0.11 0.02 0.06 0.12 -0.00 0.14 0.10 -0.05 0.15 0.06 -0.11 0.06 0.05 -0.01 0.01 0.01 0.11 0.01 0.01 0.25 0.06 -0.08 -0.11 0.10 -0.10 -0.23 0.02 -0.04 0.14 0.03 -0.01 0.28 0.01 -0.08 -0.00 -0.04 -0.10 -0.01 -0.02 -0.11 -0.01 -0.10 -0.11 0.04 -0.10 -0.14 0.09 -0.13 -0.03 0.02 -0.07 0.02 0.05 0.02 -0.03 -0.09 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.02 0.00 0.04 -0.01 -0.02 -0.00 0.02 0.04 0.05 -0.04 -0.00 -0.01 0.03 -0.02 0.02 0.04 0.00 -0.08 -0.00 -0.01 -0.03 0.03 -0.02 -0.10 0.03 -0.01 -0.09 -0.07 0.02 -0.01 -0.02 -0.00 -0.01 -0.07 0.02 -0.03 -0.09 0.02 -0.02 -0.03 0.10 0.04 -0.03 0.11 -0.08 -0.13 0.01 0.14 -0.13 0.03 0.14 -0.06 -0.07 -0.04 0.04 0.03 -0.16 -0.01 -0.12 -0.03 -0.10 -0.04 0.02 0.13 -0.04 -0.07 0.14 -0.03 -0.12 0.19 -0.03 -0.14 0.19 -0.12 -0.13 0.01 0.07 -0.04 0.01 0.08 -0.12 0.07 0.08 -0.03 0.03 0.05 -0.02 -0.02 0.01 -0.03 -0.02 -0.03 0.01 -0.04 0.01 -0.01 -0.01 0.06 0.01 -0.02 -0.07 0.00 -0.01 -0.08 0.01 0.01 -0.03 0.03 -0.00 0.02 0.04 -0.04 0.06 0.11 0.03 0.12 0.10 -0.01 0.07 0.01 -0.05 0.06 0.18 0.01 -0.04 -0.11 0.05 -0.11 -0.31 -0.02 0.02 0.08 -0.05 0.04 0.12 0.00 0.01 0.00 0.02 0.01 -0.02 0.03 -0.01 -0.08 0.02 0.02 0.01 0.04 -0.01 -0.06 -0.01 0.04 0.08 0.01 -0.04 -0.10 0.04 -0.10 -0.29 -0.00 0.02 0.12 -0.00 0.06 0.18 0.03 -0.04 -0.08 0.05 -0.08 -0.19 0.01 -0.01 0.00 -0.01 0.02 0.04 -0.02 0.04 0.12 -0.01 -0.02 -0.05 -0.01 -0.03 -0.02 -0.02 -0.01 -0.03 0.00 -0.04 -0.13 -0.02 0.02 0.06 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.10 -0.00 -0.18 0.02 0.09 0.00 0.01 0.01 0.01 -0.01 0.00 -0.00 0.01 -0.01 0.01 -0.14 -0.01 0.30 0.01 0.02 0.11 -0.13 0.06 0.40 -0.10 0.02 0.37 0.31 -0.11 0.04 0.10 0.02 0.05 0.34 -0.08 0.12 0.41 -0.08 0.09 -0.00 0.03 0.01 -0.01 0.04 -0.02 -0.03 0.00 0.04 -0.03 0.00 0.04 -0.02 -0.01 -0.01 0.01 0.02 -0.04 -0.01 -0.04 -0.01 -0.03 -0.02 0.01 0.03 -0.01 -0.02 0.04 -0.00 -0.03 0.05 -0.00 -0.04 0.05 -0.02 -0.03 0.00 0.01 -0.01 0.00 0.02 -0.02 0.01 0.01 -0.01 0.01 0.01 -0.00 0.00 0.00 -0.00 0.00 -0.01 0.01 -0.01 0.00 -0.00 -0.00 0.01 0.00 -0.00 -0.02 0.00 0.01 -0.02 -0.00 -0.00 -0.00 0.01 -0.00 0.02 -0.01 -0.01 0.02 0.03 0.01 0.03 0.02 -0.00 0.02 0.01 -0.01 0.02 0.05 0.00 -0.01 -0.03 0.01 -0.03 -0.08 -0.01 0.00 0.02 -0.01 0.01 0.03 0.00 0.00 0.00 0.01 0.00 -0.00 0.01 -0.00 -0.02 0.01 0.01 0.00 0.01 -0.00 -0.02 -0.00 0.01 0.02 0.00 -0.01 -0.03 0.01 -0.02 -0.08 -0.00 0.00 0.03 0.00 0.01 0.05 0.01 -0.01 -0.02 0.01 -0.02 -0.05 0.00 -0.00 0.00 -0.00 0.01 0.01 -0.01 0.01 0.03 -0.00 -0.01 -0.01 -0.00 -0.01 -0.01 -0.01 -0.00 -0.01 -0.00 -0.01 -0.03 -0.00 0.01 0.02 -0.00 -0.01 0.01 0.00 -0.00 0.00 -0.01 0.00 0.01 0.00 0.00 0.00 0.02 -0.03 0.01 0.04 0.12 -0.05 -0.11 0.14 -0.08 0.01 0.00 -0.03 -0.00 -0.01 -0.01 0.01 -0.01 -0.02 0.02 -0.01 -0.06 0.02 -0.01 0.01 0.02 -0.00 0.00 0.04 -0.01 0.00 0.01 0.00 -0.00 -0.01 0.06 -0.00 -0.06 0.10 -0.07 -0.02 0.01 0.07 -0.03 0.01 0.06 -0.02 -0.00 -0.02 0.01 0.08 -0.13 -0.02 -0.10 -0.01 -0.05 -0.08 -0.05 0.04 -0.04 -0.03 0.05 0.17 -0.07 -0.03 0.14 -0.06 0.01 0.25 -0.08 -0.11 -0.18 -0.02 -0.10 -0.28 0.05 -0.09 -0.19 -0.01 -0.12 -0.15 0.04 0.00 -0.13 0.10 0.01 0.05 -0.05 0.17 -0.18 0.12 0.08 -0.33 0.01 0.11 0.24 0.00 -0.04 0.29 -0.13 0.04 0.14 -0.09 0.10 -0.08 -0.11 0.00 0.02 0.01 0.04 -0.08 -0.07 0.01 0.01 0.12 -0.02 0.01 0.03 -0.02 -0.01 -0.01 -0.01 -0.02 -0.05 -0.02 -0.02 0.01 -0.04 -0.02 -0.00 0.00 0.00 0.00 0.02 0.01 0.01 0.02 0.00 -0.01 0.03 0.01 -0.00 0.04 -0.01 -0.02 -0.01 0.01 0.02 -0.01 -0.00 -0.01 -0.00 -0.01 -0.05 0.01 -0.00 0.02 0.02 0.01 0.02 0.01 -0.01 -0.00 0.02 -0.02 -0.01 0.01 -0.01 -0.00 -0.00 0.01 0.01 -0.01 0.02 0.02 -0.01 -0.00 -0.01 -0.01 -0.02 0.00 -0.02 0.00 -0.00 -0.01 -0.01 -0.03 -0.01 0.00 0.00 -0.01 0.01 -0.00 -0.00 0.00 -0.00 -0.01 0.00 0.02 0.00 -0.01 0.00 0.05 -0.10 -0.07 0.04 0.05 -0.01 0.04 -0.18 0.14 0.01 0.00 -0.03 0.00 -0.00 -0.02 0.01 -0.01 -0.03 0.02 -0.00 -0.05 0.01 -0.01 0.00 0.01 0.00 -0.00 0.04 -0.01 0.00 0.00 0.01 -0.00 0.09 0.08 -0.03 0.01 0.14 -0.02 0.04 0.05 0.03 -0.02 -0.08 -0.04 -0.05 0.09 0.08 0.01 0.15 0.01 -0.11 -0.12 0.01 -0.08 -0.15 -0.06 -0.01 -0.07 -0.04 0.02 0.09 -0.03 -0.03 0.03 -0.05 -0.02 0.17 -0.05 -0.04 -0.11 -0.02 -0.03 -0.13 0.01 -0.01 -0.11 -0.01 0.07 -0.11 0.12 0.31 0.08 0.13 0.34 -0.03 0.12 -0.03 0.21 -0.13 -0.20 0.02 -0.22 -0.10 0.11 -0.06 0.17 0.00 0.10 -0.23 -0.11 -0.10 -0.19 -0.04 -0.23 0.00 0.01 0.01 0.01 -0.01 -0.01 -0.00 0.01 0.05 -0.01 0.00 0.00 -0.01 -0.00 0.00 -0.01 -0.00 0.00 -0.01 -0.01 -0.00 -0.02 -0.01 -0.00 0.00 -0.00 -0.00 0.01 0.00 0.00 0.01 0.00 0.00 0.02 0.00 -0.00 0.02 -0.01 -0.01 -0.00 0.01 0.00 -0.01 -0.00 -0.00 -0.01 -0.00 -0.01 0.00 -0.00 0.00 0.01 0.01 0.00 0.01 -0.01 0.00 0.01 -0.01 0.01 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.01 -0.00 0.00 -0.00 -0.01 -0.00 -0.01 0.00 0.00 -0.01 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.19 -0.04 -0.10 -0.02 0.01 0.01 0.02 -0.05 -0.05 0.04 -0.00 -0.01 -0.01 0.01 -0.01 -0.10 -0.03 0.28 -0.08 0.06 0.17 -0.05 0.09 0.09 -0.21 0.04 0.47 -0.28 0.11 -0.07 -0.21 -0.01 -0.00 -0.50 0.12 -0.07 -0.14 -0.04 0.00 0.05 0.02 -0.03 0.01 0.05 0.02 0.04 0.02 -0.01 0.02 -0.06 -0.04 -0.02 0.07 0.05 -0.01 0.08 0.05 -0.06 -0.04 0.02 -0.01 -0.08 -0.02 -0.04 -0.04 -0.01 -0.02 0.01 0.01 -0.01 0.01 0.01 -0.04 0.03 0.03 0.01 -0.00 0.01 0.01 0.00 0.06 -0.04 -0.00 -0.01 -0.01 0.00 -0.01 -0.02 -0.01 -0.00 -0.02 0.01 -0.01 0.01 -0.02 0.01 0.02 -0.01 0.01 0.01 0.00 0.01 -0.01 0.01 -0.01 0.01 0.01 0.00 0.01 -0.00 0.00 0.02 0.00 -0.01 0.03 0.01 -0.01 0.04 0.00 -0.02 -0.01 0.01 0.04 -0.03 -0.01 -0.01 -0.02 -0.03 -0.06 -0.02 -0.01 0.01 -0.04 -0.01 -0.00 0.00 0.00 0.00 0.03 0.00 0.01 0.02 0.00 -0.01 0.04 0.01 0.00 0.05 -0.01 -0.02 -0.01 0.02 0.02 -0.02 -0.01 -0.02 -0.01 -0.01 -0.06 0.01 -0.00 0.02 0.03 0.02 0.02 0.02 -0.02 -0.00 0.02 -0.03 -0.02 0.01 -0.00 0.00 -0.00 0.02 0.00 -0.01 0.02 0.02 -0.02 -0.01 -0.02 -0.02 -0.03 -0.01 -0.02 -0.00 0.00 -0.01 -0.01 -0.03 -0.01 0.01 -0.00 -0.00 0.01 0.01 -0.00 -0.00 0.00 -0.07 0.02 0.04 0.01 -0.00 -0.01 0.07 -0.17 -0.17 0.02 -0.07 -0.01 -0.00 0.06 -0.05 0.04 0.01 -0.11 0.03 -0.02 -0.06 0.02 -0.03 -0.04 0.08 -0.02 -0.19 0.10 -0.04 0.03 0.08 0.00 -0.00 0.18 -0.04 0.02 0.04 0.01 -0.01 0.20 0.08 -0.08 0.09 0.16 0.06 0.13 0.08 -0.05 0.05 -0.22 -0.17 -0.08 0.23 0.20 -0.04 0.23 0.21 -0.20 -0.11 0.06 -0.08 -0.22 -0.06 -0.09 -0.10 -0.02 -0.05 -0.07 0.03 -0.01 -0.05 0.03 -0.07 -0.07 0.08 0.04 0.06 0.02 0.04 0.10 0.08 -0.05 0.07 -0.02 -0.02 0.07 -0.05 -0.14 -0.01 -0.07 -0.15 0.01 -0.05 -0.01 -0.06 0.04 0.08 0.04 0.08 0.03 -0.07 0.03 -0.07 -0.04 -0.02 0.10 0.03 0.05 0.07 0.02 0.11 0.03 -0.02 -0.04 0.05 0.03 -0.01 0.06 -0.01 -0.11 -0.02 0.03 0.07 -0.02 -0.01 -0.03 -0.01 -0.05 -0.12 -0.02 -0.00 0.01 -0.03 -0.01 -0.00 0.00 0.00 0.00 0.02 0.00 0.01 0.02 -0.00 -0.02 0.04 0.01 -0.00 0.05 -0.02 -0.04 -0.01 0.02 0.03 -0.02 -0.01 -0.03 -0.01 -0.02 -0.10 0.01 -0.00 0.03 0.03 0.02 0.03 0.02 -0.03 -0.01 0.02 -0.03 -0.04 0.01 -0.00 0.00 -0.01 0.02 0.01 -0.01 0.03 0.04 -0.02 -0.01 -0.03 -0.02 -0.03 -0.01 -0.03 -0.00 0.01 -0.01 -0.02 -0.05 -0.01 0.01 0.00 -0.01 -0.00 -0.00 -0.00 0.00 0.00 -0.02 0.01 0.01 0.00 -0.00 -0.00 -0.06 0.04 0.02 0.16 -0.00 -0.06 -0.01 -0.02 0.03 0.01 0.00 -0.03 0.01 -0.01 -0.02 0.00 -0.01 -0.00 0.02 -0.00 -0.05 0.03 -0.01 0.01 0.03 0.00 -0.00 0.06 -0.01 0.01 0.01 0.01 -0.00 -0.07 -0.11 0.02 -0.02 -0.16 0.08 0.03 -0.03 -0.09 0.08 0.05 -0.02 0.06 -0.02 -0.02 -0.04 -0.12 0.09 0.07 0.15 0.01 0.10 0.13 0.03 -0.05 0.05 0.07 -0.04 0.01 0.07 -0.11 0.02 0.09 -0.10 0.12 0.06 0.03 -0.02 0.01 0.04 0.02 0.26 -0.17 -0.03 -0.06 0.01 -0.01 0.01 0.03 0.02 0.02 0.04 0.00 0.00 -0.00 0.02 -0.02 -0.00 -0.01 -0.07 -0.02 0.02 0.01 0.03 -0.00 0.02 -0.03 -0.02 -0.02 -0.00 -0.03 -0.07 0.14 -0.01 -0.10 0.20 -0.00 -0.12 0.19 -0.01 -0.11 -0.02 0.05 0.14 -0.10 -0.03 -0.04 -0.10 -0.14 -0.23 -0.10 -0.04 0.02 -0.14 -0.05 -0.04 -0.00 -0.00 -0.00 0.10 0.00 0.04 0.08 -0.01 -0.01 0.16 0.03 0.00 0.20 -0.06 -0.08 -0.04 0.07 0.07 -0.08 -0.02 -0.06 -0.07 -0.03 -0.22 0.05 -0.02 0.07 0.13 0.08 0.05 0.08 -0.08 0.00 0.08 -0.10 -0.05 0.05 -0.01 -0.00 -0.02 0.09 0.01 -0.03 0.10 0.07 -0.10 -0.03 -0.07 -0.08 -0.10 -0.03 -0.09 -0.01 0.04 -0.06 -0.05 -0.11 -0.03 0.02 -0.01 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.01 0.00 -0.01 0.01 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.01 -0.00 -0.01 -0.00 -0.00 0.01 -0.00 -0.00 0.01 0.00 -0.00 0.00 0.00 -0.00 -0.01 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.01 0.00 0.00 -0.00 0.01 0.00 0.00 0.02 0.00 0.00 0.01 0.00 0.00 -0.01 -0.01 0.00 -0.02 -0.03 0.04 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.01 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.01 0.00 0.00 -0.01 -0.04 0.02 0.04 -0.04 -0.01 -0.07 -0.04 0.03 0.02 -0.12 0.03 0.27 -0.18 0.11 0.27 -0.18 0.12 0.15 0.05 0.01 0.02 0.06 -0.02 0.03 0.07 -0.01 -0.08 0.17 -0.08 -0.10 0.18 -0.08 -0.19 0.05 -0.05 -0.20 0.06 -0.03 -0.06 -0.04 -0.01 0.01 -0.12 0.05 -0.04 0.02 0.01 0.26 -0.20 0.11 0.27 -0.20 0.11 0.13 0.01 0.03 -0.02 0.02 -0.00 0.04 0.07 -0.01 -0.09 0.19 -0.08 -0.09 0.18 -0.09 -0.22 0.04 -0.04 -0.20 -0.01 -0.02 -0.08 -0.05 -0.01 -0.09 0.06 -0.02 -0.08 0.06 -0.03 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.01 -0.01 0.00 0.02 0.01 0.01 -0.00 -0.01 -0.01 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.01 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.01 -0.01 -0.00 -0.02 -0.01 0.00 0.01 -0.00 -0.01 0.01 0.01 -0.01 0.00 0.00 -0.00 -0.01 -0.00 0.00 0.00 0.01 0.00 0.01 0.01 -0.00 -0.01 0.00 0.01 0.00 0.02 0.00 -0.01 0.01 -0.00 -0.01 0.05 -0.01 0.02 -0.00 0.04 0.02 -0.02 0.08 -0.01 0.00 0.03 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.01 0.01 0.00 0.01 0.00 -0.01 0.01 0.02 0.00 0.00 -0.01 0.01 0.00 0.01 -0.01 -0.00 0.00 -0.02 0.00 0.02 -0.08 -0.05 -0.08 -0.13 -0.08 -0.06 -0.08 -0.06 -0.02 -0.04 0.00 -0.02 0.06 0.01 -0.01 0.09 0.08 0.04 0.06 0.01 0.02 0.04 0.10 0.30 0.05 -0.06 -0.19 -0.06 0.07 0.10 -0.08 0.11 0.24 -0.06 -0.04 -0.13 -0.04 -0.07 -0.30 -0.02 0.04 0.21 0.06 -0.01 -0.00 0.10 -0.10 -0.22 -0.02 -0.00 -0.00 -0.07 -0.06 0.02 -0.03 0.05 -0.01 -0.08 0.12 0.22 0.01 -0.06 -0.20 -0.01 -0.02 0.15 -0.03 0.02 0.28 0.09 -0.04 -0.12 0.10 -0.05 -0.32 -0.03 0.09 0.22 0.02 0.01 -0.00 0.00 -0.01 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.02 -0.01 -0.00 0.08 0.01 -0.01 -0.02 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.02 -0.03 0.00 -0.03 -0.03 0.02 0.02 -0.00 -0.02 0.03 0.01 -0.01 0.01 0.02 0.01 -0.03 -0.01 0.03 0.01 0.03 0.01 0.02 0.03 -0.00 -0.02 0.00 0.02 0.01 0.04 0.00 -0.03 0.02 0.00 -0.02 0.10 -0.01 0.05 -0.01 0.05 0.05 0.01 0.19 -0.08 -0.01 0.01 -0.00 -0.01 0.00 0.00 0.00 0.00 0.00 0.02 0.00 0.01 0.01 -0.00 0.00 0.00 -0.00 0.00 0.01 -0.00 0.02 0.00 0.01 -0.02 -0.01 -0.01 -0.02 -0.02 -0.01 -0.09 -0.07 -0.12 -0.15 -0.11 -0.11 -0.04 -0.08 -0.06 -0.09 0.05 0.05 0.03 0.04 0.05 0.15 0.06 -0.18 0.07 -0.06 -0.01 0.16 -0.17 -0.30 0.02 0.05 0.17 -0.03 0.07 -0.05 0.02 -0.02 -0.33 -0.12 0.02 0.04 -0.09 -0.04 -0.15 0.01 -0.03 0.05 0.10 -0.04 -0.03 0.13 -0.10 -0.15 -0.03 0.02 0.08 -0.10 -0.11 0.02 -0.03 0.06 -0.09 -0.01 -0.02 -0.35 -0.07 0.05 0.14 0.02 -0.10 0.02 0.06 -0.16 -0.18 0.09 0.01 0.05 0.10 0.00 -0.07 -0.01 0.05 0.00 0.05 -0.03 -0.16 0.01 -0.04 -0.09 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.05 0.06 -0.09 0.05 0.02 0.01 -0.05 0.08 0.15 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.06 -0.01 0.05 0.17 -0.10 0.19 -0.06 0.04 -0.05 -0.03 0.00 -0.00 0.03 -0.04 0.04 0.14 -0.09 0.13 -0.05 0.01 -0.07 -0.08 0.03 -0.10 0.08 -0.07 0.08 0.01 -0.04 0.04 -0.24 -0.12 0.07 0.02 0.08 -0.16 -0.01 -0.04 -0.10 -0.01 0.21 0.12 -0.30 -0.23 -0.06 0.08 -0.04 -0.15 -0.08 0.06 0.09 -0.09 0.05 0.11 0.01 -0.02 -0.09 0.14 -0.08 -0.28 -0.06 0.01 0.11 -0.03 -0.02 0.01 0.09 -0.03 -0.07 0.23 -0.12 -0.33 -0.02 0.03 0.06 -0.04 -0.04 0.04 -0.00 0.02 0.12 -0.02 0.01 -0.01 -0.00 -0.00 -0.01 0.01 0.04 0.02 0.01 -0.03 0.02 0.01 -0.02 0.06 0.02 -0.01 -0.01 0.00 0.03 -0.01 -0.00 0.04 0.02 -0.02 0.00 -0.01 -0.02 -0.00 0.02 -0.00 -0.02 -0.01 0.02 -0.01 0.01 0.01 0.00 0.04 0.01 -0.01 -0.01 -0.02 -0.04 0.02 -0.01 0.03 -0.00 -0.03 0.04 0.03 -0.01 0.00 -0.02 0.00 -0.02 0.01 0.00 -0.02 0.02 0.02 -0.00 0.01 0.02 -0.01 0.01 -0.00 0.01 -0.02 -0.00 0.01 0.02 -0.01 0.00 0.01 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.07 -0.10 0.14 0.04 -0.03 0.00 -0.03 0.04 0.08 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.01 -0.00 -0.00 -0.01 0.00 -0.00 -0.08 -0.00 -0.07 -0.26 0.15 -0.28 0.09 -0.06 0.06 0.03 0.00 -0.03 -0.04 0.08 -0.04 -0.22 0.13 -0.16 0.07 0.01 0.12 0.12 -0.03 0.17 -0.13 0.11 -0.13 -0.01 -0.01 -0.06 0.31 -0.00 -0.14 -0.06 -0.07 0.16 0.04 -0.03 -0.02 0.04 0.10 0.12 -0.16 -0.12 -0.02 0.05 -0.02 -0.09 -0.04 0.04 0.04 -0.05 0.03 0.05 0.00 -0.00 -0.05 0.08 -0.02 -0.15 -0.03 0.00 0.06 0.00 -0.03 -0.00 0.04 -0.02 -0.03 0.12 -0.07 -0.17 0.01 0.02 0.02 -0.01 0.03 0.05 0.07 0.02 -0.03 -0.03 0.05 0.04 -0.03 0.01 -0.04 0.02 0.05 -0.10 -0.01 -0.08 0.06 0.01 -0.08 0.08 0.04 -0.03 -0.02 0.02 0.07 -0.04 -0.01 0.11 0.10 -0.03 0.01 -0.02 -0.04 0.02 0.14 -0.01 -0.04 -0.04 0.02 -0.02 0.03 -0.00 0.03 0.10 0.03 -0.04 -0.02 -0.02 -0.08 0.02 -0.01 0.07 0.00 -0.06 0.09 0.05 -0.02 0.01 -0.04 0.01 -0.05 -0.00 -0.01 -0.01 0.15 0.03 -0.02 -0.00 -0.00 0.02 0.17 -0.00 0.00 -0.06 -0.01 0.02 0.04 -0.03 0.02 0.06 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.04 -0.04 0.06 -0.02 -0.01 0.04 -0.03 0.04 0.08 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.02 0.01 -0.03 -0.10 0.08 -0.14 0.03 -0.03 0.03 -0.01 0.01 -0.02 -0.02 0.02 -0.02 -0.08 0.06 -0.10 0.03 -0.01 0.04 0.04 -0.02 0.06 -0.05 0.05 -0.07 -0.01 0.01 -0.02 0.12 -0.02 -0.07 -0.02 -0.02 0.06 0.01 -0.03 -0.02 0.01 0.08 0.01 -0.09 -0.13 0.02 0.05 -0.03 -0.10 -0.05 0.04 0.04 -0.06 0.04 0.09 0.00 -0.00 -0.05 0.07 -0.02 -0.13 -0.03 0.00 0.06 -0.02 -0.01 0.01 0.05 -0.02 -0.04 0.12 -0.06 -0.16 -0.05 -0.03 0.02 -0.05 0.05 0.07 -0.17 -0.02 -0.02 0.05 -0.10 -0.08 0.07 -0.02 0.07 -0.03 -0.07 0.21 0.02 0.15 -0.10 -0.02 0.17 -0.10 -0.07 0.05 0.03 -0.04 -0.13 0.07 0.02 -0.21 -0.17 0.05 -0.01 0.03 0.06 -0.02 -0.25 0.02 0.07 0.07 -0.02 0.04 -0.06 0.01 -0.04 -0.15 -0.06 0.07 0.02 0.02 0.16 -0.03 0.01 -0.12 0.00 0.11 -0.16 -0.05 0.03 -0.02 0.07 -0.02 0.09 0.01 0.01 0.01 -0.29 -0.04 0.03 0.01 0.02 -0.05 -0.33 -0.00 -0.01 0.10 0.01 -0.02 -0.06 0.06 -0.03 -0.10 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.03 -0.01 -0.02 0.04 0.00 -0.01 -0.02 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.01 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.02 -0.04 0.01 -0.03 -0.03 0.04 0.01 0.00 -0.02 0.01 0.03 -0.03 0.01 0.01 0.02 -0.03 0.01 0.02 -0.00 0.03 0.00 -0.02 0.04 -0.04 0.01 -0.01 0.03 0.03 0.05 -0.01 -0.01 0.03 -0.01 0.02 0.08 -0.04 0.05 0.00 0.04 0.06 0.03 0.14 -0.06 -0.01 0.01 0.01 -0.01 -0.01 -0.00 0.00 0.01 -0.01 0.02 0.02 0.01 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.01 0.01 0.01 0.01 0.02 -0.02 -0.01 -0.01 -0.01 -0.03 -0.02 -0.11 -0.08 -0.09 -0.08 -0.04 -0.08 -0.10 -0.08 -0.10 -0.07 -0.00 0.17 0.10 -0.05 0.01 0.14 -0.20 -0.32 0.04 0.15 0.02 0.02 0.09 -0.20 -0.02 0.03 -0.04 -0.03 -0.09 -0.02 -0.04 -0.01 0.27 -0.02 -0.03 -0.01 -0.10 0.13 0.26 0.06 -0.01 -0.07 0.04 0.06 0.02 0.06 -0.00 0.10 -0.08 0.06 -0.07 -0.05 0.08 -0.10 -0.03 -0.08 0.06 0.06 -0.10 0.07 0.03 -0.06 -0.02 0.02 0.03 -0.05 -0.09 0.14 0.30 0.03 0.02 -0.04 -0.03 0.09 0.38 -0.01 -0.03 -0.08 -0.01 0.02 0.01 0.02 0.02 0.12 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.02 0.02 -0.03 -0.03 -0.00 0.00 -0.04 0.02 0.04 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.02 -0.02 0.03 -0.08 0.08 -0.12 0.01 -0.01 0.01 -0.18 0.16 -0.26 0.03 -0.03 0.04 -0.14 0.13 -0.21 0.01 -0.01 0.01 -0.14 0.13 -0.21 0.00 -0.00 0.00 -0.01 0.01 -0.01 0.05 0.05 -0.01 0.00 -0.04 0.04 0.02 0.02 0.03 0.01 -0.01 -0.05 0.08 0.03 0.04 0.01 -0.01 -0.02 0.01 -0.01 -0.01 -0.15 0.16 0.36 0.04 -0.03 -0.06 -0.15 0.13 0.33 0.01 0.00 -0.02 -0.20 0.19 0.43 0.01 -0.03 -0.06 -0.11 0.06 0.16 0.02 -0.01 -0.02 0.02 0.01 -0.02 0.02 -0.00 -0.03 0.01 0.00 -0.00 -0.01 0.01 -0.00 -0.01 0.00 -0.01 -0.01 -0.01 0.00 0.01 -0.01 -0.01 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.01 0.01 0.00 0.00 -0.00 0.00 -0.00 0.01 -0.01 0.00 0.00 -0.01 -0.00 0.00 -0.01 -0.00 -0.03 0.01 -0.01 0.01 0.01 -0.01 -0.02 0.00 0.01 -0.00 -0.00 0.00 -0.03 -0.00 0.01 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.01 -0.01 -0.00 -0.00 -0.01 0.00 0.01 0.01 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.05 -0.01 0.04 -0.01 0.01 0.00 -0.02 0.01 0.03 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.01 0.05 -0.05 0.15 -0.09 0.15 -0.03 0.01 -0.00 0.24 -0.24 0.39 -0.03 0.01 -0.07 0.24 -0.20 0.27 -0.01 -0.01 -0.03 0.19 -0.20 0.29 -0.00 0.00 -0.01 -0.03 -0.00 0.03 -0.07 0.01 0.05 -0.03 0.02 0.00 0.01 0.01 0.02 0.01 -0.00 -0.02 0.04 0.02 0.02 0.01 -0.01 -0.01 0.01 -0.01 -0.01 -0.10 0.10 0.23 0.02 -0.02 -0.04 -0.10 0.08 0.21 0.01 -0.00 -0.01 -0.13 0.12 0.28 0.01 -0.02 -0.04 -0.07 0.04 0.10 0.01 -0.00 -0.02 0.01 -0.03 -0.03 0.02 -0.01 0.01 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.01 -0.03 -0.00 -0.00 0.00 0.00 -0.01 -0.04 0.00 0.00 0.00 0.00 0.00 -0.01 0.00 0.02 0.06 -0.01 -0.01 -0.01 -0.01 0.01 0.06 -0.00 -0.00 0.00 -0.00 0.00 0.01 0.02 -0.03 -0.10 -0.01 0.01 0.01 0.02 -0.03 -0.10 -0.00 0.00 0.01 0.02 -0.03 -0.09 0.00 0.00 0.00 0.00 0.01 -0.01 -0.00 0.03 0.06 -0.01 -0.01 -0.01 -0.01 -0.00 0.06 -0.00 -0.00 0.01 0.00 -0.00 0.01 0.01 -0.01 -0.01 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.01 0.00 0.01 -0.00 -0.01 -0.01 0.00 0.01 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.02 -0.01 -0.01 0.01 -0.04 0.06 0.00 0.00 -0.01 0.07 -0.05 0.08 -0.01 0.02 -0.00 0.03 -0.04 0.09 -0.00 0.01 0.00 0.04 -0.03 0.06 0.00 -0.00 0.01 0.02 0.00 -0.01 0.00 0.00 -0.01 0.02 0.00 -0.02 0.00 0.01 -0.00 0.01 0.00 0.01 -0.00 0.02 -0.02 -0.00 0.00 0.01 0.01 -0.01 -0.00 -0.03 0.04 0.08 0.01 -0.01 -0.01 -0.04 0.03 0.09 0.01 0.00 -0.01 -0.05 0.05 0.11 -0.00 -0.01 -0.01 -0.04 0.02 0.05 -0.01 -0.01 -0.00 0.00 0.00 -0.01 -0.01 -0.00 -0.01 -0.01 0.00 0.03 0.01 -0.01 -0.00 0.01 0.00 0.03 0.01 0.01 -0.01 -0.01 0.03 0.07 -0.01 -0.00 -0.00 -0.02 -0.02 0.03 -0.00 -0.09 -0.21 0.01 0.03 0.03 0.05 -0.03 -0.23 0.01 0.00 -0.02 0.01 -0.02 -0.04 -0.08 0.14 0.45 0.02 -0.03 -0.06 -0.08 0.14 0.49 0.01 -0.01 -0.04 -0.07 0.14 0.43 -0.01 -0.01 -0.01 -0.01 -0.02 0.03 -0.00 -0.08 -0.19 0.02 0.02 0.02 0.04 0.01 -0.16 0.00 0.00 -0.02 -0.01 0.00 -0.04 -0.02 0.03 0.06 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.01 0.01 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.01 0.01 0.00 0.00 0.02 -0.03 -0.00 -0.00 0.01 -0.03 0.01 -0.03 0.00 -0.01 -0.00 -0.01 0.01 -0.03 0.00 -0.01 -0.00 -0.01 0.01 -0.02 -0.00 0.00 -0.01 -0.01 -0.01 0.01 -0.00 0.00 0.01 -0.02 -0.01 0.02 0.01 0.00 0.01 0.01 0.01 0.01 -0.00 0.00 0.01 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.01 0.00 0.00 0.00 0.00 -0.00 -0.01 0.00 0.00 0.00 0.01 -0.00 -0.01 -0.00 -0.00 0.00 -0.00 -0.01 -0.00 0.01 0.02 -0.01 -0.03 -0.04 -0.02 0.06 0.01 0.03 -0.00 0.03 -0.01 -0.05 0.04 -0.02 -0.05 0.06 0.02 -0.02 -0.02 -0.01 -0.06 0.01 0.07 0.07 0.05 -0.01 0.07 0.17 -0.02 0.35 0.08 -0.14 -0.18 -0.12 0.03 -0.08 -0.36 -0.09 -0.01 -0.08 0.02 0.07 0.05 -0.03 0.04 0.08 0.22 -0.11 0.08 -0.07 -0.16 0.16 0.19 -0.04 -0.07 -0.01 -0.03 -0.02 0.20 0.07 0.03 0.02 0.10 0.19 -0.03 0.31 0.15 -0.04 -0.14 -0.11 -0.00 -0.07 -0.32 0.09 -0.05 -0.06 0.03 0.09 -0.07 0.02 0.10 -0.08 0.05 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.09 -0.09 -0.01 0.07 0.01 -0.03 0.00 -0.01 -0.00 0.00 0.00 0.00 -0.01 0.00 0.01 0.00 -0.00 -0.01 -0.01 -0.00 -0.00 -0.00 0.00 -0.00 -0.01 0.00 0.00 -0.01 0.00 0.00 0.01 -0.00 0.01 -0.13 -0.13 -0.00 -0.14 -0.14 0.19 0.06 0.01 -0.07 0.17 -0.05 0.09 -0.03 0.12 0.08 -0.10 -0.01 0.26 -0.01 0.10 0.04 0.06 0.06 0.07 0.03 -0.02 0.04 0.18 -0.04 -0.13 0.15 -0.15 -0.17 0.24 -0.06 -0.25 -0.06 0.02 -0.10 -0.06 0.00 -0.07 -0.04 0.08 -0.14 -0.02 0.02 0.04 0.03 -0.02 -0.01 -0.02 0.02 0.09 0.02 -0.03 -0.00 -0.09 0.03 0.18 0.01 -0.00 -0.03 -0.12 0.11 0.19 0.00 0.00 -0.02 -0.07 0.06 0.12 -0.04 0.05 0.14 -0.05 0.09 0.16 -0.07 0.06 0.07 -0.01 -0.01 -0.03 0.01 -0.01 -0.01 -0.02 0.07 0.18 0.01 -0.00 -0.02 -0.04 0.06 0.15 0.01 0.01 -0.01 0.00 0.01 0.00 0.03 0.01 -0.01 -0.02 -0.01 -0.00 -0.01 -0.02 0.01 0.01 -0.01 0.01 0.02 0.01 0.02 0.06 -0.06 -0.16 -0.03 0.02 0.02 0.01 -0.05 -0.19 -0.01 -0.01 0.02 0.03 -0.07 -0.15 0.01 -0.00 0.01 0.01 0.01 -0.00 0.03 0.01 -0.02 -0.00 -0.00 0.01 0.01 -0.03 -0.04 -0.02 -0.00 -0.01 -0.01 0.01 0.04 0.01 -0.02 -0.04 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.01 -0.00 -0.04 -0.00 -0.01 -0.17 -0.02 -0.05 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.01 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.02 -0.02 0.02 -0.00 -0.00 -0.01 0.02 -0.03 0.01 -0.01 0.01 0.01 -0.01 -0.01 0.04 -0.00 0.01 0.00 -0.00 0.01 0.01 0.01 -0.01 0.01 -0.01 -0.09 -0.02 0.10 0.05 0.01 0.03 -0.23 0.07 0.15 0.25 0.02 0.14 0.46 -0.08 0.07 0.23 0.01 0.06 -0.02 -0.09 0.06 -0.05 0.08 0.08 -0.02 0.02 0.09 -0.11 0.10 0.03 -0.31 -0.08 0.03 0.10 0.02 0.21 -0.04 -0.19 -0.22 -0.06 -0.06 -0.11 -0.31 -0.21 -0.00 0.01 0.01 0.01 -0.01 -0.01 0.01 0.01 0.02 0.01 0.00 0.00 -0.00 -0.00 -0.01 -0.03 0.02 0.08 -0.00 -0.01 -0.01 -0.02 0.03 0.10 -0.00 -0.01 -0.01 -0.00 -0.00 0.01 0.01 -0.03 -0.07 0.01 0.01 0.01 0.02 -0.02 -0.06 -0.00 0.00 -0.00 -0.01 -0.00 -0.00 -0.01 0.00 -0.02 0.01 -0.00 0.01 0.02 -0.01 -0.03 0.00 0.01 0.00 0.00 -0.00 -0.04 -0.00 0.01 0.01 -0.00 -0.00 -0.00 -0.00 0.00 0.02 -0.00 -0.00 -0.01 -0.01 0.02 0.02 0.01 -0.00 0.00 0.00 0.00 0.02 0.00 -0.00 -0.02 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.01 -0.01 -0.00 -0.03 0.00 0.02 -0.01 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.01 0.00 0.00 -0.00 0.00 0.00 0.01 -0.00 0.00 -0.02 -0.02 -0.00 -0.01 -0.02 0.04 0.01 0.00 -0.01 0.03 -0.01 0.03 -0.00 0.01 0.01 -0.00 -0.01 0.04 -0.00 0.01 0.00 0.00 0.01 0.00 0.01 -0.01 0.01 0.03 0.01 -0.02 0.03 0.00 -0.03 0.05 -0.02 -0.04 -0.00 0.01 0.01 -0.00 0.01 -0.05 0.04 0.01 0.03 0.01 -0.01 -0.02 0.00 -0.00 0.00 -0.00 0.00 0.01 0.00 -0.00 0.00 0.01 -0.02 -0.03 -0.00 0.01 0.01 0.02 -0.02 -0.04 -0.01 -0.00 -0.00 0.01 -0.02 -0.03 -0.00 -0.01 -0.00 -0.00 0.04 0.03 -0.07 -0.00 -0.04 0.03 -0.01 -0.03 -0.03 0.05 0.03 0.02 -0.06 -0.25 -0.01 0.01 0.04 0.11 -0.15 -0.39 -0.00 0.00 0.04 0.02 -0.01 -0.06 -0.07 0.15 0.44 0.01 -0.03 -0.06 -0.07 0.10 0.40 -0.02 0.02 0.04 -0.03 -0.01 -0.00 -0.04 0.00 -0.06 0.02 -0.01 -0.01 0.01 0.04 0.11 0.01 0.01 -0.02 -0.06 0.08 0.20 0.02 0.01 -0.04 -0.01 0.02 0.05 0.10 -0.09 -0.29 -0.04 -0.01 0.04 0.02 -0.08 -0.32 0.03 -0.01 -0.00 0.04 -0.02 -0.03 0.02 0.01 0.03 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.04 0.05 0.02 0.14 0.01 -0.05 -0.01 -0.01 -0.02 -0.00 0.00 -0.00 0.01 -0.00 -0.01 -0.00 -0.00 0.02 0.01 -0.00 -0.01 0.00 0.00 0.00 0.02 -0.01 -0.00 0.00 -0.00 -0.01 -0.02 0.00 -0.01 0.06 0.05 0.00 0.03 0.09 -0.15 -0.01 -0.02 0.03 -0.12 0.04 -0.14 0.01 -0.04 -0.02 -0.03 0.03 -0.12 0.01 -0.01 -0.00 0.01 -0.02 0.02 -0.05 0.02 -0.04 -0.08 -0.12 0.08 -0.06 -0.11 0.08 -0.15 -0.02 0.12 -0.01 0.04 -0.12 -0.00 0.10 0.11 -0.18 0.08 -0.22 -0.03 0.03 0.07 0.03 -0.02 0.00 0.04 -0.02 -0.02 0.02 -0.03 0.02 -0.07 -0.01 0.12 0.02 0.00 -0.03 -0.08 0.09 0.16 -0.02 -0.01 -0.02 -0.09 0.03 0.11 0.01 0.08 0.08 -0.04 -0.10 0.01 0.11 0.06 0.24 -0.06 -0.01 -0.01 0.05 -0.08 0.03 0.06 -0.06 0.05 0.01 -0.01 0.01 -0.09 -0.02 -0.09 -0.01 0.03 0.01 0.01 -0.00 -0.04 -0.02 0.09 0.25 -0.00 -0.02 -0.04 -0.06 0.10 0.23 0.03 -0.00 0.04 0.10 0.03 0.02 0.15 -0.07 -0.06 -0.06 0.03 -0.02 -0.10 -0.01 -0.01 -0.02 -0.06 0.00 0.03 -0.03 0.12 -0.00 -0.05 -0.01 0.02 0.02 0.05 0.01 -0.07 -0.29 0.05 0.05 0.04 0.13 -0.08 -0.25 -0.08 0.01 -0.05 -0.09 0.02 -0.02 -0.04 -0.01 -0.01 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.01 0.04 0.02 0.02 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.01 0.00 -0.00 -0.01 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.01 0.00 0.00 -0.02 0.02 -0.04 0.00 -0.01 0.01 -0.04 0.02 -0.05 -0.00 0.00 0.00 -0.02 0.01 -0.01 0.00 0.00 0.00 0.02 -0.01 0.03 -0.01 0.01 -0.02 0.00 -0.06 0.02 -0.01 -0.13 -0.01 -0.01 -0.00 -0.03 -0.04 0.03 -0.08 -0.04 0.04 -0.07 -0.02 0.03 -0.08 -0.01 0.01 0.01 0.01 -0.01 0.01 0.03 -0.02 -0.02 0.01 -0.02 0.01 -0.02 -0.03 0.03 0.00 0.00 -0.01 -0.04 0.03 0.04 -0.00 0.00 -0.01 -0.03 0.02 0.03 -0.01 0.02 0.05 -0.07 0.00 0.08 -0.06 0.02 0.09 0.02 -0.04 -0.11 -0.01 0.03 0.06 0.02 -0.07 -0.17 -0.00 0.01 0.02 0.07 -0.12 -0.35 -0.01 0.01 0.05 -0.00 -0.01 -0.01 -0.02 0.01 0.05 0.01 0.01 0.00 -0.00 0.02 0.03 -0.00 0.00 -0.01 -0.02 -0.02 -0.03 -0.06 0.08 0.21 0.02 -0.02 -0.02 -0.01 0.06 0.20 0.01 0.01 -0.01 -0.01 0.02 0.03 -0.01 0.01 0.03 0.00 -0.02 -0.07 -0.11 0.15 0.52 0.01 -0.03 -0.10 -0.09 0.12 0.45 -0.01 0.05 0.16 0.04 -0.04 -0.11 -0.00 0.02 0.06 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.02 -0.02 -0.01 -0.10 -0.00 0.01 0.00 0.01 0.01 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.01 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.03 -0.02 -0.00 -0.00 -0.05 0.08 0.00 0.01 -0.01 0.06 -0.03 0.08 -0.00 0.02 0.01 -0.00 0.00 0.04 0.00 0.00 0.01 -0.04 0.04 -0.05 0.03 -0.01 0.02 0.02 0.03 -0.05 0.08 0.09 -0.04 0.08 -0.10 -0.03 0.00 -0.02 0.10 -0.00 -0.11 -0.11 0.19 -0.02 0.17 0.02 -0.03 -0.05 -0.01 0.00 -0.01 -0.05 0.05 0.09 -0.01 0.02 -0.01 0.03 0.01 -0.05 -0.01 0.00 0.02 0.07 -0.07 -0.13 0.01 0.01 0.01 0.06 -0.03 -0.09 0.13 0.06 -0.02 0.12 -0.03 -0.07 0.27 0.05 0.03 -0.00 -0.00 -0.05 0.03 -0.07 0.03 0.02 -0.05 0.10 -0.01 -0.04 0.01 -0.12 -0.03 -0.02 -0.01 0.01 -0.01 0.02 0.01 -0.03 -0.04 0.12 0.29 0.02 -0.01 -0.06 -0.02 0.08 0.18 0.00 0.02 0.13 0.12 0.01 -0.04 0.11 0.01 0.17 -0.04 0.02 -0.03 -0.16 0.06 0.32 -0.01 -0.06 -0.05 0.01 -0.00 0.18 -0.04 -0.00 0.12 0.04 -0.01 -0.05 -0.10 0.07 0.15 0.07 0.03 -0.03 0.05 0.03 0.32 -0.09 0.02 -0.00 -0.12 0.03 0.02 -0.06 -0.04 -0.12 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.01 0.01 0.01 0.08 0.00 0.00 -0.00 -0.01 -0.01 0.00 0.00 0.00 -0.00 0.00 0.01 0.00 -0.00 -0.01 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.02 0.01 0.00 -0.01 0.04 -0.06 0.00 -0.01 0.01 -0.05 0.02 -0.06 0.00 -0.01 -0.01 0.00 -0.00 -0.02 -0.00 -0.00 -0.01 0.03 -0.03 0.05 -0.02 0.01 -0.01 -0.01 -0.02 0.04 -0.06 -0.09 0.03 -0.06 0.08 0.01 -0.01 0.01 -0.09 -0.00 0.09 0.07 -0.14 0.00 -0.13 -0.02 0.02 0.03 0.01 -0.00 0.01 0.05 -0.04 -0.09 0.00 -0.01 0.01 -0.02 -0.01 0.03 0.01 -0.00 -0.02 -0.06 0.05 0.11 -0.00 -0.00 -0.01 -0.05 0.03 0.07 -0.10 -0.04 0.02 -0.10 0.03 0.06 -0.18 -0.04 -0.02 -0.00 0.01 0.06 -0.02 0.05 -0.02 0.04 -0.07 -0.34 -0.00 0.06 0.07 0.12 -0.05 -0.20 0.03 -0.07 -0.16 -0.02 -0.01 0.05 -0.05 0.02 0.15 0.00 -0.02 -0.05 0.02 -0.05 -0.15 -0.05 0.07 0.16 -0.07 -0.05 -0.09 -0.13 0.08 0.13 0.04 -0.02 0.01 0.01 0.13 0.34 0.03 0.02 -0.08 -0.05 0.08 0.08 -0.03 0.08 0.17 -0.01 -0.03 -0.08 0.01 -0.00 0.08 -0.04 -0.01 0.02 -0.10 0.08 0.23 0.09 -0.04 -0.11 0.05 0.06 0.23 0.09 -0.07 -0.22 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.01 0.00 0.02 -0.01 -0.02 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.01 0.01 0.00 0.01 0.01 -0.01 -0.00 -0.00 0.00 -0.01 0.00 -0.00 0.00 -0.01 -0.01 0.01 -0.00 -0.01 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 0.00 -0.01 0.02 0.01 -0.02 0.02 0.01 -0.03 0.04 0.02 0.02 -0.01 -0.01 0.02 0.03 0.08 -0.07 -0.01 -0.04 -0.01 0.01 0.01 -0.00 0.00 0.00 0.02 -0.01 -0.04 -0.00 0.00 -0.00 -0.00 0.01 0.01 0.00 -0.00 -0.01 -0.02 0.02 0.05 -0.00 -0.00 -0.00 -0.02 0.01 0.03 -0.05 -0.03 -0.01 -0.03 -0.00 -0.01 -0.06 -0.02 -0.04 -0.01 0.01 0.05 0.00 -0.00 -0.07 -0.09 0.20 0.48 0.02 -0.02 -0.10 -0.05 0.19 0.52 -0.02 0.03 0.11 0.00 -0.04 -0.06 -0.05 0.07 0.28 0.01 -0.02 -0.05 -0.07 0.12 0.37 -0.01 0.02 0.04 -0.04 -0.01 -0.02 -0.05 0.02 -0.00 0.02 -0.01 -0.01 0.01 0.06 0.15 0.01 0.01 -0.03 -0.03 0.06 0.12 -0.00 0.02 0.03 -0.01 -0.01 -0.02 -0.00 0.02 0.11 -0.02 -0.02 -0.02 -0.05 0.04 0.11 0.03 0.00 0.03 0.05 -0.01 -0.02 0.03 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.01 0.00 0.01 0.00 -0.00 -0.00 -0.01 -0.00 -0.01 -0.01 0.02 0.02 0.00 -0.00 0.00 0.05 -0.01 0.02 -0.18 0.06 0.16 0.07 -0.02 -0.33 -0.14 0.00 0.06 0.01 -0.01 -0.05 -0.24 0.04 0.07 -0.10 0.05 0.10 0.30 -0.07 0.11 0.03 -0.03 0.05 -0.20 0.17 -0.27 0.02 -0.02 0.03 -0.16 0.14 -0.23 -0.01 0.01 -0.01 0.08 -0.07 0.12 -0.04 0.03 -0.06 0.25 -0.23 0.36 0.01 0.01 -0.00 0.03 -0.01 0.02 -0.09 -0.09 0.02 0.04 0.05 -0.10 -0.02 0.01 0.00 -0.02 -0.03 -0.06 0.06 0.02 0.02 0.00 -0.00 -0.01 0.01 -0.01 -0.01 -0.05 0.05 0.12 0.00 -0.00 -0.00 -0.01 0.00 0.02 -0.01 0.01 0.01 0.03 -0.03 -0.09 -0.00 0.01 0.01 0.04 -0.03 -0.07 0.01 -0.01 -0.03 0.01 -0.02 -0.03 0.01 -0.01 0.00 -0.00 0.00 0.01 0.00 -0.00 -0.00 -0.00 0.00 0.02 0.00 -0.00 -0.01 -0.01 0.01 0.04 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.01 0.00 -0.00 0.00 0.00 0.00 0.00 0.01 -0.00 -0.01 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.01 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.02 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.01 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.02 -0.00 -0.01 -0.01 -0.00 0.01 -0.01 -0.00 -0.01 -0.00 0.01 0.00 0.00 -0.00 -0.00 -0.06 0.02 -0.02 0.23 -0.07 -0.20 -0.09 0.02 0.42 0.19 -0.00 -0.07 -0.01 0.01 0.06 0.31 -0.05 -0.08 0.12 -0.07 -0.12 -0.38 0.08 -0.15 0.02 -0.03 0.04 -0.15 0.12 -0.20 0.02 -0.01 0.02 -0.11 0.11 -0.17 -0.01 0.01 -0.01 0.06 -0.05 0.09 -0.03 0.02 -0.04 0.19 -0.17 0.27 0.00 -0.00 0.00 0.02 -0.01 0.01 -0.06 -0.04 0.01 0.03 0.03 -0.07 -0.01 0.00 0.01 -0.01 -0.03 -0.04 0.04 0.02 0.01 0.00 -0.00 -0.00 0.01 -0.01 -0.02 -0.06 0.06 0.14 0.00 -0.00 -0.00 -0.02 0.01 0.03 -0.01 0.01 0.01 0.04 -0.04 -0.09 -0.01 0.01 0.01 0.05 -0.04 -0.08 -0.00 0.00 -0.01 -0.00 -0.02 -0.02 0.01 -0.00 0.01 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 -0.00 -0.00 -0.00 -0.01 0.01 0.02 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.01 -0.00 0.00 -0.01 0.00 0.01 0.01 0.01 0.04 0.01 -0.01 0.02 -0.01 -0.01 0.01 -0.00 0.00 -0.02 0.01 0.02 0.01 -0.00 -0.04 -0.02 0.00 0.00 0.00 0.00 -0.00 -0.02 -0.00 0.01 -0.02 0.01 0.01 0.03 -0.01 0.01 -0.01 0.02 -0.02 0.09 -0.07 0.11 -0.01 0.00 -0.01 0.05 -0.06 0.08 0.01 -0.01 0.01 -0.05 0.03 -0.06 0.02 -0.01 0.03 -0.10 0.10 -0.15 -0.01 0.00 -0.01 -0.01 -0.02 0.01 0.01 -0.02 0.00 -0.04 0.00 0.04 -0.03 -0.00 -0.01 -0.03 -0.08 -0.01 0.02 0.06 -0.04 -0.01 0.01 0.02 0.04 -0.04 -0.09 -0.25 0.25 0.58 0.01 -0.01 -0.02 -0.09 0.08 0.17 -0.02 0.02 0.04 0.15 -0.15 -0.35 -0.02 0.03 0.06 0.20 -0.15 -0.35 -0.02 0.00 0.01 -0.04 -0.01 0.01 -0.03 -0.00 0.03 -0.01 0.00 0.01 0.00 0.00 -0.00 0.00 0.01 0.00 0.00 0.00 -0.00 0.00 0.01 0.01 0.00 0.00 -0.00 -0.00 -0.01 0.00 0.00 -0.01 0.01 -0.00 -0.00 -0.00 -0.01 0.00 0.00 0.00 0.00 0.00 -0.01 -0.00 -0.00 -0.02 0.00 0.00 0.00 -0.00 0.00 0.01 0.01 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 -0.00 0.00 -0.00 0.02 -0.01 -0.00 0.00 -0.01 0.00 -0.00 0.01 0.00 -0.00 0.01 0.00 0.00 0.01 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 0.00 -0.00 -0.02 0.09 -0.07 0.01 0.00 0.00 0.00 -0.00 0.00 -0.02 0.00 0.01 0.00 -0.00 -0.02 -0.01 -0.00 -0.00 0.00 -0.00 -0.00 -0.02 0.00 0.00 -0.01 0.00 0.01 0.02 -0.00 0.01 -0.00 -0.01 0.00 -0.01 -0.00 -0.02 0.00 -0.00 -0.00 -0.01 -0.02 -0.02 -0.01 0.02 0.02 -0.03 0.00 0.04 0.00 0.02 0.00 0.02 0.00 0.03 0.02 -0.01 -0.01 -0.01 -0.12 -0.05 0.08 0.03 -0.01 0.03 -0.23 0.01 0.06 -0.06 0.10 0.06 -0.07 0.19 -0.05 -0.07 0.07 -0.01 -0.02 0.01 -0.02 0.01 -0.00 -0.00 -0.01 -0.05 -0.01 0.03 -0.02 0.02 0.04 -0.03 0.00 -0.00 -0.00 0.01 0.00 0.04 0.02 0.00 0.00 0.00 0.02 0.04 -0.07 0.16 -0.05 -0.19 -0.45 -0.33 0.24 0.07 0.53 -0.00 0.03 -0.01 0.02 -0.05 0.02 0.02 -0.07 0.01 -0.02 -0.02 0.01 -0.11 -0.03 -0.06 -0.01 0.02 -0.01 -0.02 -0.04 0.01 0.03 -0.05 0.02 -0.01 -0.02 0.00 -0.03 0.02 -0.03 0.01 0.02 -0.00 -0.07 -0.01 -0.01 -0.08 0.01 -0.01 0.02 -0.00 0.00 0.08 0.07 -0.01 0.02 0.00 0.00 0.00 0.00 -0.00 0.00 0.02 -0.01 -0.03 -0.02 0.00 0.01 -0.03 0.00 -0.04 -0.02 -0.00 -0.05 0.01 -0.01 0.05 -0.00 0.01 0.07 0.02 0.00 0.06 0.03 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.01 -0.01 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.01 -0.01 0.00 0.01 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.01 0.00 0.00 0.01 -0.00 0.00 0.00 -0.00 0.00 -0.01 0.01 -0.02 0.00 -0.00 0.00 -0.00 0.00 -0.01 -0.00 0.00 -0.00 0.01 -0.01 0.02 -0.00 0.00 -0.00 0.01 -0.01 0.02 0.00 -0.00 0.01 -0.01 0.01 -0.01 0.02 0.05 0.00 -0.01 -0.02 0.03 0.01 -0.01 0.01 0.01 0.01 0.03 -0.02 -0.01 -0.01 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.01 0.00 0.01 -0.00 0.00 -0.00 0.00 0.01 0.00 0.00 -0.00 0.00 0.01 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.01 0.02 0.01 -0.01 0.00 -0.02 -0.00 -0.00 -0.00 0.00 0.00 -0.01 -0.00 0.03 0.04 0.00 -0.00 0.00 0.01 -0.01 -0.00 0.00 0.00 0.01 0.00 -0.01 -0.02 -0.02 0.05 0.15 -0.00 -0.01 -0.01 -0.01 0.00 0.01 -0.01 0.02 0.05 0.02 -0.03 -0.11 -0.11 0.20 0.63 -0.00 0.00 -0.00 0.00 0.01 0.00 -0.02 0.03 0.11 0.11 -0.20 -0.63 0.01 -0.01 -0.05 -0.00 0.00 0.02 0.01 -0.01 -0.00 -0.01 0.00 0.02 0.02 -0.03 -0.14 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.01 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.03 0.00 0.03 0.02 0.04 -0.04 -0.00 0.00 -0.00 0.00 -0.01 -0.01 -0.00 0.00 -0.00 -0.00 -0.12 -0.03 0.16 0.15 -0.47 0.13 0.22 -0.11 -0.20 0.10 0.59 0.03 0.05 0.01 0.27 -0.17 0.08 -0.31 0.03 -0.08 -0.00 -0.13 -0.02 0.00 -0.00 0.00 -0.01 0.00 -0.01 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.01 -0.00 0.01 -0.00 0.00 -0.00 0.01 -0.01 0.01 0.00 -0.00 0.00 -0.00 0.01 -0.00 0.01 0.02 -0.00 -0.00 -0.01 0.01 0.00 -0.00 0.00 0.00 0.00 0.01 -0.01 -0.00 -0.01 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 0.00 0.00 0.00 0.00 -0.01 0.00 -0.00 0.00 0.01 -0.00 0.00 0.01 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.01 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.01 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.01 -0.00 0.00 -0.01 0.00 0.00 -0.01 0.07 -0.00 0.00 0.01 -0.00 -0.00 -0.00 0.01 -0.00 -0.01 -0.00 0.00 0.01 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.01 0.01 -0.00 -0.00 -0.02 0.01 -0.01 -0.01 0.01 -0.01 0.03 -0.03 0.06 0.00 0.00 0.00 0.01 0.01 0.01 0.01 -0.01 0.00 -0.02 0.03 -0.06 0.00 -0.01 0.01 -0.04 0.02 -0.05 -0.01 0.02 -0.02 0.03 0.01 0.04 -0.09 -0.16 0.00 0.02 0.13 -0.09 -0.07 0.04 -0.03 -0.07 -0.04 -0.20 0.13 0.06 0.03 0.01 0.00 -0.03 0.01 0.00 0.02 0.04 -0.03 -0.04 0.00 -0.02 0.01 0.01 -0.05 -0.03 -0.01 0.00 -0.00 -0.03 0.01 -0.01 0.00 -0.00 -0.01 -0.03 0.03 0.04 0.07 -0.03 -0.04 0.04 0.06 0.04 0.07 -0.02 -0.13 -0.03 0.03 -0.00 0.03 0.02 -0.00 0.24 0.25 -0.04 0.00 -0.20 0.06 -0.06 -0.19 0.11 0.07 0.06 -0.01 -0.06 -0.12 0.03 0.10 -0.15 0.07 -0.11 -0.09 0.01 -0.18 0.08 -0.06 0.05 0.06 -0.01 0.01 0.03 -0.01 0.03 -0.04 0.01 0.00 0.04 -0.01 0.21 0.28 -0.05 -0.00 -0.20 0.06 -0.00 -0.20 0.08 0.06 0.04 -0.00 -0.06 -0.12 0.03 0.08 -0.15 0.04 -0.10 -0.09 0.01 -0.14 -0.01 -0.02 -0.00 0.09 -0.03 0.04 0.24 -0.07 0.05 0.22 -0.06 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.01 -0.00 -0.00 -0.02 0.01 -0.01 0.03 -0.01 -0.00 -0.10 -0.12 -0.00 0.00 -0.02 0.01 0.01 0.00 -0.04 -0.01 0.07 -0.00 -0.02 -0.02 0.00 -0.01 -0.05 0.00 -0.00 -0.01 -0.04 0.01 0.01 -0.01 0.01 0.02 0.05 -0.01 0.02 0.03 -0.01 0.04 -0.11 0.11 -0.19 -0.00 -0.00 -0.00 -0.01 0.01 -0.02 -0.01 0.01 -0.02 0.11 -0.09 0.14 -0.02 0.02 -0.03 0.09 -0.09 0.13 0.03 -0.05 0.07 -0.08 0.11 -0.08 0.19 0.45 -0.01 -0.07 -0.16 0.26 0.11 -0.06 0.02 0.12 0.12 0.28 -0.23 -0.07 -0.10 -0.01 0.00 0.05 -0.01 -0.01 -0.03 -0.06 0.04 0.06 -0.00 0.02 -0.02 -0.01 0.08 0.06 0.01 -0.00 0.00 0.05 -0.02 0.03 -0.02 0.00 0.02 0.04 -0.05 -0.08 -0.02 -0.00 0.15 0.07 0.15 0.18 -0.07 0.03 -0.12 0.00 -0.02 -0.06 -0.00 0.02 -0.01 0.04 0.09 0.01 0.00 -0.02 0.04 0.06 -0.10 -0.16 0.02 0.00 -0.01 -0.01 -0.02 0.01 0.02 -0.03 -0.01 -0.02 -0.01 0.01 -0.03 -0.00 -0.04 0.01 0.01 -0.01 0.01 0.01 0.02 0.03 -0.04 -0.10 -0.00 0.01 -0.00 0.03 0.05 -0.00 -0.00 -0.05 -0.01 -0.02 -0.01 0.12 0.01 0.01 0.01 -0.00 -0.03 -0.01 0.00 0.00 0.11 -0.02 -0.02 -0.00 -0.03 0.01 0.01 -0.01 0.03 0.02 0.00 0.04 -0.02 0.00 0.04 -0.01 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.02 -0.05 0.03 -0.01 0.18 -0.07 -0.00 0.00 -0.00 0.00 -0.00 -0.01 -0.00 0.00 0.00 0.01 -0.05 -0.01 0.03 0.06 -0.14 0.07 0.08 -0.12 -0.09 0.03 0.23 -0.06 -0.11 0.02 -0.37 0.30 -0.17 0.64 -0.10 0.12 -0.17 0.30 -0.03 0.00 -0.00 0.00 -0.00 0.01 -0.01 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.01 0.01 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.01 0.00 -0.01 0.02 0.03 -0.00 -0.01 -0.02 0.02 0.00 -0.00 0.00 0.00 -0.01 0.01 0.00 0.01 -0.00 -0.00 -0.00 0.00 0.01 -0.01 -0.01 -0.02 0.02 0.06 -0.00 0.00 0.00 0.00 -0.01 -0.02 -0.01 0.01 0.01 0.03 -0.03 -0.07 0.01 -0.00 -0.01 -0.02 0.01 0.06 -0.00 -0.00 0.01 0.00 0.01 0.01 -0.01 0.00 -0.01 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.01 0.00 -0.00 -0.00 -0.00 0.00 -0.04 -0.01 -0.08 -0.07 0.03 -0.01 0.01 -0.04 0.00 -0.01 -0.00 -0.00 0.01 -0.02 0.01 0.01 -0.02 -0.02 0.01 0.04 -0.01 -0.01 0.00 -0.03 0.03 -0.02 0.07 -0.01 0.01 -0.02 0.04 -0.01 -0.05 0.01 -0.04 0.10 -0.13 0.23 0.01 0.00 0.04 -0.07 0.14 -0.09 0.02 -0.02 0.01 -0.05 0.09 -0.15 -0.01 -0.01 -0.01 0.04 -0.06 0.08 -0.00 0.04 -0.03 0.07 0.08 0.06 -0.22 -0.15 0.04 0.13 0.18 -0.25 0.09 -0.03 -0.05 0.08 0.32 0.15 -0.28 -0.14 -0.10 -0.00 0.03 0.06 -0.01 0.01 -0.01 0.01 -0.01 -0.06 0.02 -0.01 -0.03 -0.05 0.12 0.20 0.02 -0.03 -0.02 -0.02 0.03 0.19 -0.06 0.02 0.05 0.14 -0.16 -0.32 0.01 0.04 -0.02 -0.04 -0.11 -0.07 0.19 0.02 0.06 0.01 0.01 -0.02 0.01 -0.03 -0.00 -0.02 -0.00 0.11 -0.01 -0.00 0.02 -0.04 -0.04 -0.12 -0.01 0.01 -0.01 0.00 -0.00 -0.00 0.01 0.00 0.02 0.00 0.00 0.00 0.01 -0.00 -0.03 0.00 -0.00 -0.00 -0.01 0.00 -0.00 -0.01 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.01 0.00 0.00 -0.00 0.01 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.01 0.01 -0.01 -0.05 0.00 -0.00 -0.01 -0.00 0.00 0.04 0.01 -0.00 0.01 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.01 0.00 0.00 0.01 -0.00 0.01 -0.00 0.01 0.01 0.01 -0.04 -0.00 -0.00 0.01 -0.00 0.01 0.00 0.00 -0.01 0.01 -0.01 -0.01 0.01 0.01 -0.00 -0.03 0.00 0.01 -0.00 0.01 -0.02 0.02 -0.05 0.01 -0.01 0.02 -0.02 0.00 -0.06 0.05 -0.08 0.31 -0.28 0.45 0.04 -0.04 0.05 -0.21 0.16 -0.30 0.03 -0.02 0.04 -0.16 0.14 -0.22 -0.03 0.03 -0.05 0.20 -0.17 0.27 0.01 -0.02 0.01 -0.01 -0.01 -0.01 -0.00 0.08 0.02 -0.01 -0.04 0.03 -0.00 0.00 0.03 -0.00 -0.07 0.00 0.05 0.04 0.01 -0.00 -0.01 -0.01 0.01 -0.01 -0.01 -0.04 0.03 0.09 -0.01 0.01 0.01 0.04 -0.06 -0.12 -0.01 0.02 0.02 0.06 -0.04 -0.13 0.03 -0.02 -0.04 -0.12 0.10 0.23 -0.01 -0.01 0.02 0.04 0.04 0.02 -0.06 0.00 -0.03 -0.00 -0.01 0.00 -0.00 0.00 -0.02 -0.02 0.05 0.10 0.00 0.01 0.02 0.04 -0.03 -0.09 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.01 0.01 0.02 -0.00 0.00 0.00 0.00 -0.01 -0.03 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.01 -0.00 -0.01 0.00 0.00 -0.00 -0.00 0.00 0.01 -0.00 -0.00 -0.00 -0.01 -0.00 0.01 0.00 0.00 0.00 0.00 -0.00 -0.01 -0.01 0.02 0.05 -0.00 0.00 0.01 0.00 -0.00 -0.04 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.01 0.00 0.00 0.01 -0.00 -0.00 -0.01 -0.01 0.00 -0.01 0.01 -0.02 0.02 -0.01 -0.00 0.01 0.00 -0.00 -0.01 0.01 -0.01 -0.01 0.01 0.01 -0.00 -0.03 0.00 0.01 -0.00 0.02 -0.02 0.01 -0.04 0.01 -0.01 0.01 -0.02 0.00 0.01 -0.02 0.02 -0.09 0.08 -0.12 -0.01 0.01 -0.01 0.06 -0.04 0.09 -0.01 0.00 -0.01 0.05 -0.03 0.05 0.01 -0.01 0.02 -0.06 0.05 -0.08 -0.01 0.01 -0.01 0.01 0.01 0.02 -0.04 -0.05 0.01 0.01 0.05 -0.04 -0.00 0.00 -0.01 -0.00 0.00 -0.01 0.00 0.02 -0.01 -0.00 0.00 0.00 0.03 -0.00 -0.01 -0.02 0.05 0.10 -0.01 0.00 0.02 0.04 -0.04 -0.09 -0.02 -0.01 0.03 0.04 -0.07 -0.11 0.02 -0.01 -0.03 -0.10 0.09 0.19 -0.00 0.00 -0.02 -0.02 -0.03 -0.02 0.05 -0.00 -0.01 -0.01 0.01 0.02 0.02 -0.04 -0.10 -0.10 0.22 0.61 -0.02 0.03 0.08 0.06 -0.16 -0.49 -0.00 -0.00 -0.01 0.00 -0.01 -0.02 -0.02 0.05 0.17 -0.00 0.01 0.03 0.04 -0.06 -0.21 0.00 -0.00 -0.01 -0.01 -0.00 -0.00 -0.01 -0.00 0.01 -0.00 0.00 0.01 0.01 -0.02 -0.06 0.00 0.01 -0.01 -0.00 0.02 0.04 -0.00 -0.00 -0.00 -0.00 0.00 0.01 0.01 -0.01 -0.05 0.00 -0.00 -0.01 -0.01 0.01 0.06 -0.00 0.00 0.01 0.01 -0.01 -0.00 0.01 -0.01 0.01 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.02 0.00 0.00 0.02 -0.00 -0.00 -0.01 -0.00 -0.03 -0.05 0.01 -0.07 0.08 -0.07 -0.00 0.02 0.00 -0.01 -0.02 0.04 -0.02 -0.03 0.02 0.03 -0.01 -0.08 0.01 0.02 -0.00 0.04 -0.04 0.03 -0.11 0.02 -0.02 0.03 -0.05 0.00 -0.00 -0.02 0.01 -0.06 0.04 -0.06 -0.00 0.01 -0.01 0.04 0.01 0.06 -0.00 -0.00 -0.01 0.04 -0.01 0.01 -0.00 -0.02 0.01 -0.05 0.02 -0.04 -0.00 0.02 -0.01 0.02 0.05 0.02 -0.08 -0.04 0.01 0.05 0.08 -0.09 0.04 -0.03 -0.03 0.03 0.13 0.09 -0.14 -0.05 -0.08 -0.01 0.02 0.05 0.11 0.01 -0.03 -0.02 0.17 0.27 -0.01 0.01 0.04 0.12 -0.06 -0.17 -0.07 -0.08 0.08 0.08 -0.23 -0.25 0.03 -0.03 -0.08 -0.25 0.20 0.43 0.00 0.03 0.01 -0.05 -0.06 -0.01 0.11 0.02 0.04 0.00 0.00 -0.02 -0.00 0.00 0.06 0.05 -0.14 -0.31 0.00 -0.02 -0.04 -0.08 0.08 0.22 -0.01 0.01 0.00 -0.00 0.00 0.02 0.03 -0.04 -0.10 0.00 -0.01 -0.02 -0.02 0.05 0.12 0.00 0.00 0.00 -0.01 -0.00 -0.00 -0.01 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.02 0.00 0.01 0.00 0.01 -0.00 -0.03 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.01 -0.02 -0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.01 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.01 0.00 0.00 0.01 -0.00 0.01 -0.07 -0.05 -0.04 -0.05 0.01 0.09 -0.16 0.13 -0.01 0.01 -0.00 0.02 -0.02 0.00 -0.02 -0.01 0.04 0.03 -0.01 -0.05 0.01 0.01 -0.01 0.00 -0.02 0.02 -0.07 0.02 -0.00 0.04 -0.03 0.01 0.01 -0.02 0.01 -0.07 0.04 -0.09 -0.06 0.02 0.03 -0.01 -0.01 0.11 -0.00 0.01 -0.01 0.06 0.00 0.02 0.05 0.02 0.01 -0.01 0.08 -0.08 -0.00 0.03 -0.02 0.03 0.04 0.05 -0.12 -0.08 0.03 0.05 0.10 -0.11 0.06 0.03 -0.04 0.06 0.23 0.07 -0.14 -0.01 -0.09 -0.02 -0.00 0.04 -0.19 -0.10 -0.11 -0.31 -0.04 0.17 -0.03 0.03 0.01 -0.00 -0.10 -0.20 0.10 0.24 -0.01 0.29 0.13 -0.19 0.03 -0.06 -0.06 -0.21 0.08 0.41 0.00 0.02 0.00 -0.03 -0.04 -0.01 0.09 0.01 0.02 0.01 0.01 -0.02 0.00 -0.00 0.02 0.02 -0.06 -0.11 -0.00 -0.01 -0.01 -0.04 0.02 0.06 -0.00 0.00 -0.00 -0.00 0.00 0.01 0.02 -0.02 -0.07 0.00 -0.00 -0.01 -0.01 0.03 0.07 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.02 0.00 0.00 0.00 0.01 -0.00 -0.02 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.01 -0.02 0.00 -0.00 -0.01 -0.00 0.00 0.02 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.01 -0.01 -0.01 0.01 0.00 -0.00 0.01 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.02 0.01 -0.03 -0.01 0.00 0.00 0.00 -0.01 0.03 -0.00 0.00 -0.00 0.01 0.00 0.01 0.01 0.00 0.00 -0.01 0.02 -0.03 -0.00 0.01 -0.01 0.01 -0.01 0.01 -0.03 -0.03 0.01 0.01 0.01 -0.03 0.00 -0.00 0.00 0.00 0.00 0.01 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 -0.00 0.00 -0.00 0.00 0.01 0.00 -0.00 -0.00 -0.01 -0.00 -0.01 -0.00 0.01 -0.00 0.00 0.00 0.00 -0.00 -0.01 0.00 -0.00 -0.01 0.02 -0.01 -0.03 -0.02 -0.00 0.01 0.00 0.00 0.01 0.00 -0.01 -0.03 -0.03 0.06 0.15 -0.00 0.01 0.03 0.04 -0.05 -0.14 0.00 -0.01 -0.01 -0.01 0.02 0.05 0.06 -0.10 -0.31 0.01 -0.02 -0.05 -0.05 0.08 0.29 -0.00 -0.00 0.00 0.00 0.02 0.05 0.05 -0.08 -0.27 0.01 -0.03 -0.08 -0.09 0.15 0.48 -0.01 0.01 0.05 0.04 -0.09 -0.26 0.00 0.00 0.00 0.01 -0.02 -0.05 -0.05 0.10 0.36 -0.01 0.02 0.06 0.05 -0.06 -0.38 0.00 -0.01 -0.00 -0.01 -0.00 -0.00 -0.01 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.01 0.00 -0.04 0.17 0.14 -0.00 -0.02 0.01 0.02 -0.03 0.03 -0.00 0.00 -0.00 0.01 -0.00 -0.01 -0.00 0.00 0.01 0.01 0.00 -0.00 0.00 -0.00 -0.00 -0.02 0.00 0.00 -0.00 0.00 0.01 0.02 -0.00 0.01 -0.02 0.03 0.03 -0.08 0.08 0.11 0.22 0.00 -0.15 0.27 0.12 -0.12 0.00 -0.06 -0.04 -0.08 -0.11 -0.01 -0.17 -0.14 0.03 -0.26 -0.09 0.14 -0.02 0.00 0.02 0.03 0.01 -0.02 0.02 -0.02 -0.03 0.05 0.01 -0.05 0.00 0.01 -0.01 0.00 0.03 -0.01 -0.01 0.01 -0.02 -0.00 -0.00 0.00 -0.04 -0.02 -0.02 -0.05 -0.03 0.02 -0.01 0.01 -0.00 -0.02 -0.01 -0.02 0.02 0.05 -0.00 0.05 0.03 -0.02 0.00 -0.01 -0.00 -0.02 -0.00 0.05 0.00 0.01 -0.00 -0.04 -0.02 0.01 0.07 0.01 -0.00 -0.01 0.01 -0.00 0.01 -0.02 -0.01 -0.00 0.02 0.09 -0.01 0.01 0.02 -0.02 -0.03 -0.10 0.00 0.00 -0.01 -0.01 0.01 0.06 0.06 -0.11 -0.33 0.01 -0.02 -0.06 -0.06 0.12 0.33 0.00 0.00 0.01 -0.01 -0.01 0.00 -0.01 -0.02 -0.02 0.00 -0.00 -0.02 -0.02 0.04 0.11 0.00 0.02 0.02 0.03 -0.02 -0.11 -0.00 -0.01 -0.01 -0.01 0.02 0.05 0.04 -0.10 -0.33 0.01 -0.01 -0.05 -0.04 0.05 0.33 -0.00 0.01 0.00 0.01 -0.00 0.00 0.01 -0.01 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.02 -0.05 -0.05 0.02 -0.00 -0.00 -0.01 0.01 -0.01 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.01 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.01 -0.00 -0.00 -0.01 0.00 -0.00 0.00 -0.01 -0.01 0.05 -0.05 -0.02 -0.08 -0.01 0.05 -0.11 -0.04 0.02 0.00 0.02 0.01 0.02 0.04 -0.00 0.06 0.06 -0.02 0.11 0.01 -0.03 0.01 -0.01 0.00 -0.02 0.00 -0.00 0.03 0.05 -0.00 -0.04 -0.02 0.06 -0.02 0.00 0.01 -0.01 -0.05 -0.02 0.04 0.02 0.01 0.00 -0.00 -0.01 0.01 0.01 0.01 0.03 -0.00 -0.03 0.00 -0.01 -0.00 -0.01 0.01 0.03 -0.01 -0.02 0.00 -0.03 -0.01 0.00 0.00 0.01 0.01 0.02 -0.00 -0.04 -0.00 -0.01 0.01 -0.01 0.02 0.03 0.01 -0.00 -0.03 -0.01 -0.00 -0.00 0.01 -0.01 -0.02 -0.01 0.04 0.11 -0.01 0.01 0.02 0.00 -0.04 -0.12 0.01 -0.00 -0.01 -0.02 0.02 0.07 0.06 -0.14 -0.42 0.01 -0.02 -0.07 -0.08 0.15 0.42 -0.00 0.01 0.01 -0.01 -0.01 -0.01 -0.02 0.00 0.04 0.00 0.00 -0.00 -0.00 0.01 0.02 -0.00 0.01 0.01 0.02 -0.01 -0.07 0.00 -0.01 -0.01 -0.02 0.02 0.07 0.06 -0.13 -0.46 0.01 -0.02 -0.07 -0.06 0.07 0.46 -0.01 0.01 0.00 0.01 0.00 0.00 0.01 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.01 -0.01 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.01 -0.01 0.01 -0.01 -0.00 0.01 -0.02 -0.00 -0.01 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.01 -0.00 0.02 -0.01 0.01 0.00 -0.00 0.00 -0.01 0.01 -0.01 0.02 0.02 -0.01 -0.01 -0.01 0.02 -0.00 0.00 -0.00 -0.00 -0.01 -0.01 0.01 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.01 0.00 0.01 -0.00 0.00 0.00 0.00 -0.00 -0.01 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.01 -0.02 0.01 0.02 0.02 0.00 -0.01 -0.00 -0.00 -0.01 0.00 0.00 0.02 0.02 -0.03 -0.08 0.00 -0.01 -0.02 -0.03 0.03 0.09 -0.00 0.00 0.01 0.01 -0.02 -0.05 -0.06 0.10 0.31 -0.01 0.02 0.06 0.06 -0.10 -0.34 0.00 -0.00 -0.01 -0.02 0.01 0.06 0.05 -0.11 -0.33 0.02 -0.03 -0.09 -0.09 0.16 0.51 -0.01 0.02 0.05 0.06 -0.09 -0.32 0.00 -0.01 -0.01 -0.01 0.01 0.05 0.04 -0.08 -0.29 0.01 -0.01 -0.04 -0.04 0.04 0.28 -0.00 0.01 -0.00 0.01 0.00 0.01 0.01 -0.01 -0.01 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.03 0.09 0.01 -0.02 -0.13 0.03 0.00 0.00 -0.00 0.02 -0.04 0.01 0.00 0.00 0.01 -0.07 -0.04 -0.03 0.22 0.00 -0.35 -0.03 0.13 0.30 0.08 0.05 0.21 -0.01 -0.06 -0.07 -0.42 0.17 -0.02 0.18 0.03 0.19 0.30 0.07 0.11 -0.00 -0.00 -0.00 0.01 -0.02 -0.00 -0.01 -0.00 0.01 -0.02 0.01 -0.01 0.00 0.01 -0.00 0.02 0.01 0.01 0.00 0.00 -0.00 0.02 -0.01 -0.00 0.00 -0.00 0.01 -0.01 0.03 -0.00 0.02 0.03 -0.01 -0.02 0.03 0.03 -0.02 0.01 -0.01 -0.02 -0.04 -0.05 0.04 0.05 -0.01 0.01 0.01 -0.01 0.01 0.00 -0.02 -0.05 0.10 0.10 -0.00 0.00 0.06 0.14 -0.11 -0.23 -0.00 -0.02 -0.02 -0.09 0.04 0.10 -0.01 0.00 -0.02 -0.04 0.06 0.01 0.01 0.02 0.00 -0.07 -0.02 0.04 0.13 0.01 -0.03 -0.03 0.01 -0.01 0.02 -0.03 0.02 0.04 -0.02 -0.01 -0.01 0.01 -0.00 -0.11 0.02 -0.02 -0.00 0.01 -0.00 -0.01 -0.01 0.00 0.03 -0.01 0.01 -0.01 -0.00 -0.00 -0.02 0.03 -0.01 0.02 0.00 0.00 -0.05 -0.03 0.00 -0.03 -0.09 0.02 -0.01 0.01 -0.01 -0.01 0.02 -0.01 0.02 0.04 -0.01 0.08 0.04 0.00 0.01 -0.01 0.00 -0.00 -0.01 -0.00 -0.02 0.00 0.05 -0.00 0.00 0.01 0.02 -0.04 -0.05 -0.02 0.02 -0.01 0.02 -0.01 0.01 0.04 -0.02 0.01 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.02 -0.02 0.04 -0.00 0.03 -0.01 -0.00 -0.00 0.01 -0.01 0.04 -0.01 -0.01 0.01 -0.01 -0.07 0.02 -0.03 0.21 -0.07 -0.21 -0.09 0.02 0.36 0.19 0.00 -0.08 0.01 -0.00 -0.08 -0.28 0.03 0.08 -0.16 0.08 0.11 0.35 -0.09 0.11 0.01 -0.01 0.01 -0.06 0.05 -0.08 -0.02 0.02 -0.04 0.13 -0.12 0.19 0.03 -0.03 0.04 -0.18 0.14 -0.23 -0.01 0.01 -0.02 0.08 -0.07 0.11 -0.00 0.01 -0.01 0.01 -0.03 0.00 -0.02 -0.03 0.01 0.02 -0.02 -0.03 0.02 -0.01 0.00 0.02 0.04 0.05 -0.04 -0.05 0.00 -0.01 -0.00 0.01 -0.00 0.00 0.02 0.05 -0.08 -0.09 0.01 -0.01 -0.05 -0.13 0.10 0.22 -0.01 0.01 0.02 0.08 -0.06 -0.13 0.01 -0.01 0.00 0.00 -0.03 0.04 -0.02 -0.01 -0.00 0.06 0.01 -0.04 -0.12 -0.01 0.03 0.03 -0.01 0.01 -0.02 0.03 -0.02 -0.04 0.02 0.00 0.01 -0.01 0.00 0.11 -0.02 0.02 0.00 -0.01 0.00 0.01 0.00 -0.00 -0.03 0.01 -0.01 0.01 0.00 0.00 0.02 -0.03 0.01 -0.02 -0.00 -0.00 0.05 0.03 -0.00 0.03 0.10 -0.03 0.02 -0.01 0.01 0.01 -0.03 0.01 -0.02 -0.05 0.01 -0.09 -0.04 -0.01 -0.01 0.01 -0.00 0.00 0.01 0.00 0.02 -0.00 -0.05 0.00 -0.00 -0.01 -0.02 0.04 0.05 0.03 -0.02 0.01 -0.02 0.01 -0.01 -0.04 0.02 -0.01 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.03 0.02 0.00 0.04 -0.01 -0.00 0.00 -0.01 0.01 -0.01 0.01 -0.00 -0.00 -0.00 -0.03 0.02 -0.01 0.10 -0.05 -0.08 -0.06 -0.01 0.19 0.11 -0.01 -0.09 0.01 0.01 -0.04 -0.12 -0.01 0.06 -0.14 0.05 0.04 0.18 -0.07 0.06 -0.02 0.01 -0.02 0.09 -0.09 0.14 0.04 -0.04 0.06 -0.23 0.19 -0.33 -0.05 0.05 -0.07 0.29 -0.25 0.41 0.03 -0.02 0.04 -0.15 0.14 -0.22 0.00 -0.00 0.00 -0.00 0.01 -0.00 0.01 0.01 -0.00 -0.01 0.00 0.01 -0.01 0.01 -0.00 -0.01 -0.01 -0.02 0.02 0.02 0.00 0.00 -0.00 -0.01 -0.01 0.01 0.03 0.07 -0.08 -0.14 0.02 -0.02 -0.05 -0.14 0.10 0.25 -0.01 0.02 0.02 0.06 -0.05 -0.15 0.01 -0.00 0.00 0.00 -0.02 0.02 0.01 0.00 -0.00 -0.02 -0.00 0.01 0.04 0.00 -0.01 -0.01 0.01 -0.00 0.01 -0.01 0.01 0.01 -0.01 0.00 -0.00 0.00 -0.00 -0.04 0.01 -0.01 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 -0.00 0.00 -0.00 -0.00 -0.00 -0.01 0.01 -0.00 0.01 0.00 0.00 -0.02 -0.01 0.00 -0.01 -0.04 0.01 -0.01 0.00 -0.00 -0.00 0.01 -0.01 0.01 0.02 -0.00 0.03 0.02 0.00 0.00 -0.00 0.00 0.00 -0.01 -0.00 -0.01 0.00 0.03 -0.00 0.00 0.00 0.01 -0.02 -0.03 -0.01 0.01 -0.00 0.01 -0.00 0.00 0.01 -0.01 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.01 0.04 -0.01 -0.01 -0.05 0.01 -0.00 0.00 0.00 -0.03 0.08 -0.02 -0.00 0.01 -0.01 -0.00 -0.02 -0.00 0.02 0.02 -0.07 0.02 0.04 0.00 -0.03 0.02 0.10 -0.01 -0.02 0.00 -0.05 0.05 -0.03 0.11 -0.02 0.03 -0.01 0.05 0.00 -0.01 0.01 -0.01 0.05 -0.05 0.08 0.03 -0.02 0.03 -0.14 0.11 -0.21 -0.04 0.04 -0.05 0.19 -0.17 0.29 0.02 -0.02 0.03 -0.12 0.11 -0.18 -0.00 0.01 -0.02 0.02 -0.06 0.01 -0.06 -0.07 0.03 0.04 -0.04 -0.07 0.04 -0.03 0.00 0.04 0.08 0.09 -0.10 -0.10 0.01 -0.01 0.00 0.03 0.02 -0.02 -0.04 -0.09 0.09 0.20 -0.03 0.03 0.05 0.16 -0.11 -0.31 0.01 -0.02 -0.03 -0.06 0.05 0.18 -0.00 -0.00 -0.00 -0.00 0.01 -0.00 -0.03 -0.02 -0.01 0.11 0.02 -0.08 -0.24 -0.02 0.07 0.06 -0.03 0.03 -0.05 0.05 -0.03 -0.09 0.03 0.01 0.02 -0.01 0.01 0.23 -0.04 0.04 0.00 -0.02 0.01 0.01 0.01 -0.00 -0.06 0.02 -0.02 0.01 0.01 0.00 0.04 -0.06 0.02 -0.04 -0.00 -0.01 0.09 0.07 -0.00 0.05 0.21 -0.06 0.03 -0.03 0.01 0.02 -0.05 0.03 -0.05 -0.09 0.02 -0.18 -0.08 -0.01 -0.02 0.02 -0.01 0.00 0.03 0.01 0.05 -0.01 -0.11 0.01 -0.01 -0.02 -0.03 0.08 0.12 0.05 -0.04 0.02 -0.03 0.02 -0.01 -0.07 0.03 -0.03 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.07 -0.03 -0.01 -0.11 0.03 0.00 0.00 0.00 -0.01 0.01 -0.00 0.01 -0.01 0.00 0.03 -0.04 0.01 -0.07 0.07 -0.01 0.07 0.06 -0.16 -0.13 0.03 0.20 -0.02 -0.03 0.04 0.03 0.06 -0.09 0.25 -0.06 -0.00 -0.16 0.12 -0.04 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.01 0.00 0.00 0.00 -0.00 0.00 -0.01 0.00 -0.01 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.02 -0.01 0.01 0.01 0.00 -0.02 0.01 -0.00 0.00 0.01 0.01 0.03 -0.02 -0.01 -0.01 -0.01 0.00 0.01 -0.02 0.02 0.03 0.09 -0.07 -0.25 0.05 -0.04 -0.07 -0.18 0.22 0.47 -0.04 0.03 0.07 0.18 -0.18 -0.41 0.01 -0.02 -0.05 -0.16 0.16 0.25 -0.01 -0.00 -0.00 0.01 -0.01 -0.02 -0.03 -0.00 0.02 0.01 -0.00 0.00 -0.01 0.01 -0.00 -0.02 0.00 -0.00 0.00 -0.00 0.00 0.04 -0.01 0.01 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.01 0.00 -0.00 0.00 0.00 0.00 0.01 -0.01 0.00 -0.01 -0.00 -0.00 0.02 0.01 -0.00 0.01 0.05 -0.01 0.01 -0.01 0.00 0.00 -0.01 0.00 -0.01 -0.02 0.00 -0.04 -0.02 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.01 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.01 0.00 0.01 -0.01 0.00 -0.01 0.00 -0.00 -0.01 0.01 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.05 0.16 0.07 -0.01 -0.01 0.01 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.01 -0.00 0.02 0.00 -0.01 -0.01 -0.00 -0.00 -0.01 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 -0.00 0.00 -0.00 0.00 -0.07 -0.16 -0.05 0.20 -0.36 -0.39 -0.06 -0.04 0.01 -0.09 -0.14 -0.00 0.04 0.19 0.09 0.32 0.34 -0.02 -0.01 -0.10 -0.05 0.22 -0.32 -0.38 0.00 -0.02 -0.02 0.00 0.01 0.02 -0.06 -0.00 0.03 -0.02 0.06 -0.00 0.00 0.00 -0.00 0.00 0.03 -0.01 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.01 -0.01 0.00 -0.00 -0.04 0.02 -0.01 0.01 -0.01 -0.03 -0.00 -0.01 0.01 0.01 0.00 0.03 0.00 0.01 0.00 -0.00 0.00 0.01 -0.03 0.02 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.01 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.01 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.02 0.01 0.00 0.04 -0.01 0.00 0.01 0.00 0.00 -0.02 0.01 0.13 -0.04 0.09 -0.00 0.01 -0.00 0.01 -0.02 0.01 -0.02 -0.02 0.03 0.03 -0.01 -0.06 0.00 0.01 -0.01 0.00 -0.02 0.02 -0.07 0.01 -0.00 0.03 -0.03 0.01 -0.01 -0.01 -0.00 0.01 -0.02 -0.02 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.01 0.00 0.02 0.02 -0.01 -0.01 -0.00 -0.00 0.01 -0.02 -0.00 0.00 -0.01 0.01 -0.01 0.01 -0.01 0.03 0.02 -0.02 -0.01 0.00 0.03 -0.00 -0.02 0.00 -0.00 -0.06 0.04 -0.01 -0.04 0.01 -0.01 0.02 -0.02 -0.05 0.06 -0.05 -0.09 0.49 -0.25 0.16 -0.08 0.11 0.42 0.12 0.15 -0.09 -0.05 -0.01 -0.24 -0.02 -0.13 -0.14 0.03 -0.09 -0.15 0.37 -0.24 -0.01 0.01 -0.01 -0.07 -0.04 -0.00 0.05 0.00 0.02 0.01 0.01 0.00 -0.01 -0.00 0.00 -0.02 -0.02 0.00 0.00 -0.00 0.00 0.02 -0.00 0.00 -0.01 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.01 -0.00 0.00 -0.01 -0.00 -0.00 0.02 0.02 -0.00 -0.01 0.09 -0.03 0.01 -0.01 0.01 0.01 -0.02 0.01 -0.01 -0.02 0.00 -0.07 -0.02 -0.01 -0.01 0.01 -0.00 0.00 0.01 0.00 0.02 -0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.01 0.01 0.02 -0.01 0.01 -0.00 -0.00 0.00 -0.01 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.01 -0.01 0.06 -0.11 0.09 -0.02 -0.01 -0.01 0.00 0.00 0.00 -0.01 0.00 0.01 0.00 -0.00 -0.01 -0.00 -0.00 -0.01 -0.00 0.00 0.00 0.01 -0.00 -0.00 0.00 -0.00 -0.00 -0.01 0.00 -0.00 0.00 0.01 -0.00 0.03 -0.02 0.02 -0.00 -0.00 0.01 -0.02 0.01 -0.02 0.00 -0.00 -0.00 0.00 -0.01 0.01 -0.01 0.02 -0.02 0.05 -0.03 0.05 0.02 -0.03 0.04 -0.04 0.08 -0.05 0.23 0.07 -0.12 -0.11 0.04 0.19 -0.06 0.04 -0.05 -0.05 -0.03 -0.10 0.06 0.09 -0.04 0.01 0.00 -0.02 0.02 0.00 0.01 0.03 -0.06 0.03 -0.03 -0.01 -0.01 -0.12 -0.08 -0.03 0.01 0.02 -0.01 -0.02 0.04 -0.00 0.03 0.00 0.02 0.05 -0.08 0.02 -0.04 0.05 -0.05 -0.42 -0.19 0.06 0.34 0.01 0.01 0.01 0.06 -0.00 -0.01 -0.05 0.01 -0.06 -0.10 0.03 0.01 -0.00 0.01 -0.02 -0.01 -0.01 -0.03 0.02 -0.01 0.01 -0.02 0.01 0.04 -0.03 0.01 0.01 0.02 -0.00 0.01 0.02 -0.00 -0.02 -0.00 -0.00 0.05 0.11 -0.03 -0.06 0.43 -0.14 0.05 -0.07 0.03 0.03 -0.12 0.04 -0.05 -0.07 0.01 -0.31 -0.05 -0.04 -0.05 0.04 -0.02 0.01 0.01 -0.01 0.12 0.00 0.05 -0.00 0.00 0.01 -0.01 0.03 -0.07 0.07 -0.04 0.02 0.01 -0.03 0.01 -0.03 -0.01 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.04 0.02 0.02 -0.03 0.10 0.20 0.01 -0.00 -0.01 -0.00 -0.00 -0.00 0.01 -0.00 -0.01 -0.00 0.00 0.01 0.00 0.00 0.00 -0.00 0.00 0.00 0.01 -0.00 -0.00 0.00 -0.00 -0.00 -0.01 0.00 -0.00 0.03 0.02 -0.02 0.06 0.00 0.04 0.00 -0.01 -0.01 -0.06 -0.15 -0.09 -0.03 0.01 0.03 -0.13 -0.05 0.09 0.03 0.02 -0.04 0.14 -0.09 -0.02 0.06 -0.05 0.06 -0.06 -0.03 -0.10 0.44 -0.03 -0.24 -0.14 -0.14 0.28 0.04 -0.03 -0.13 0.03 0.33 0.05 -0.22 -0.34 0.02 -0.04 0.02 0.08 0.00 -0.02 -0.03 -0.05 0.05 0.07 0.01 0.01 0.00 0.02 0.03 0.02 -0.01 0.00 0.00 0.01 -0.01 -0.03 0.00 -0.01 -0.01 -0.03 0.02 0.05 0.05 -0.04 -0.10 -0.01 0.02 -0.03 -0.03 -0.04 0.00 0.02 0.01 0.03 0.01 0.00 -0.02 0.01 0.05 0.06 -0.01 -0.02 0.01 -0.01 -0.03 -0.01 -0.00 0.00 -0.00 -0.00 0.01 -0.00 -0.02 0.01 -0.01 0.00 0.00 0.00 -0.00 0.02 -0.00 0.01 -0.01 0.01 -0.01 -0.04 0.01 0.04 -0.20 0.07 -0.04 0.03 -0.02 -0.05 0.03 -0.02 0.04 0.02 -0.00 0.21 0.01 0.04 0.01 -0.01 0.01 0.00 0.01 -0.00 -0.03 0.01 -0.00 -0.01 -0.00 0.00 0.00 -0.01 -0.02 0.00 -0.01 -0.00 -0.02 0.02 -0.01 -0.02 0.01 -0.01 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.01 -0.00 -0.01 0.02 -0.04 -0.02 -0.01 -0.01 0.01 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.01 -0.01 0.00 -0.00 -0.01 -0.01 -0.00 0.00 0.00 0.01 0.06 0.03 0.01 -0.00 -0.01 0.05 0.02 -0.03 -0.01 -0.00 0.01 -0.04 0.02 0.04 -0.00 0.00 -0.00 0.00 0.02 0.01 -0.04 0.02 0.02 0.00 0.03 -0.01 -0.02 0.01 0.02 -0.01 -0.08 -0.01 0.05 0.09 -0.02 0.01 -0.00 -0.02 0.01 0.01 0.00 0.02 0.03 -0.03 -0.01 -0.01 0.00 -0.04 -0.05 -0.01 -0.00 0.00 -0.00 -0.04 0.02 -0.02 0.01 0.00 0.01 0.02 -0.01 -0.00 -0.06 0.01 0.00 -0.18 -0.10 0.01 0.01 0.00 0.03 0.06 0.04 0.00 -0.06 -0.00 -0.01 -0.09 -0.04 -0.02 0.06 -0.06 0.03 0.31 -0.09 0.08 -0.04 0.04 -0.02 0.00 -0.01 0.00 0.04 -0.01 0.01 0.01 0.04 -0.01 -0.06 0.23 -0.08 0.03 -0.07 0.03 -0.01 -0.03 0.01 0.06 -0.23 0.08 -0.11 0.01 -0.02 -0.23 -0.12 -0.00 0.13 0.01 0.02 0.64 -0.05 0.13 -0.03 0.01 -0.01 0.03 0.04 -0.00 0.19 0.02 0.00 -0.05 -0.01 -0.01 -0.09 0.10 -0.01 0.12 -0.06 0.04 -0.05 0.06 -0.03 -0.11 0.01 -0.02 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.04 -0.01 -0.04 -0.01 0.01 0.02 -0.03 -0.08 0.02 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.03 -0.05 -0.01 0.01 -0.09 -0.06 -0.00 0.03 0.02 0.07 0.28 0.12 0.03 0.00 -0.02 0.22 0.09 -0.10 -0.06 -0.01 0.03 -0.19 0.11 0.21 0.03 0.02 0.00 -0.03 -0.01 -0.01 0.04 0.02 -0.01 -0.02 -0.07 0.04 0.03 0.01 -0.01 0.04 0.06 0.06 -0.04 -0.03 -0.01 -0.04 -0.01 -0.00 0.06 0.08 -0.01 0.03 0.40 -0.15 -0.03 -0.05 0.01 -0.29 -0.27 -0.01 -0.03 0.02 -0.03 -0.36 0.15 -0.22 0.08 0.01 0.04 0.10 -0.08 0.07 0.00 0.00 -0.01 0.01 -0.01 -0.03 -0.02 -0.00 0.03 0.01 -0.02 0.01 -0.01 0.01 -0.01 -0.06 -0.04 0.01 0.00 0.01 -0.00 0.08 0.00 0.01 -0.01 -0.02 0.01 0.01 0.03 -0.01 0.05 0.03 0.00 -0.02 -0.02 0.00 0.02 -0.12 0.04 0.01 0.02 -0.00 -0.00 -0.02 0.01 0.03 -0.10 0.04 0.01 0.02 -0.00 0.08 0.11 -0.02 -0.01 -0.01 0.00 -0.04 -0.00 -0.01 0.02 0.01 0.00 -0.02 -0.02 0.00 -0.14 -0.00 -0.03 0.03 0.02 -0.00 0.01 0.06 -0.00 -0.02 -0.02 0.00 -0.03 -0.02 0.00 0.02 0.04 -0.01 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 0.01 0.01 0.01 -0.03 0.00 0.01 0.03 -0.01 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.01 0.02 0.00 -0.01 0.04 0.03 0.00 -0.01 -0.01 -0.03 -0.10 -0.05 -0.01 -0.00 0.01 -0.09 -0.04 0.04 0.02 0.00 -0.01 0.08 -0.04 -0.08 -0.01 -0.01 0.00 0.01 0.02 -0.00 0.01 -0.01 -0.01 -0.01 0.04 0.00 -0.02 0.00 0.00 -0.02 -0.04 -0.04 0.04 0.04 -0.01 0.02 0.00 -0.00 -0.02 -0.03 0.01 -0.01 -0.16 0.06 0.01 0.02 -0.00 0.11 0.10 0.00 0.01 -0.01 0.01 0.14 -0.06 0.09 -0.03 -0.00 -0.02 -0.04 0.03 -0.03 -0.00 0.02 -0.00 -0.08 -0.07 -0.00 0.07 0.01 0.02 0.00 -0.00 0.00 -0.06 -0.01 -0.01 -0.23 -0.20 0.03 0.06 0.03 0.00 0.38 -0.01 0.06 -0.05 -0.03 0.00 0.06 0.07 -0.01 0.40 0.03 0.06 -0.08 -0.06 0.00 -0.05 -0.17 0.05 0.07 0.04 -0.00 -0.03 -0.01 -0.00 0.03 -0.18 0.06 -0.00 0.01 -0.00 0.18 0.23 -0.04 0.02 -0.03 0.01 -0.01 -0.03 0.01 0.01 0.06 -0.01 -0.06 -0.06 0.01 -0.29 -0.04 -0.07 0.06 0.07 -0.02 -0.02 0.29 -0.03 -0.01 -0.09 0.02 -0.10 -0.09 0.01 0.06 0.11 -0.02 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.06 -0.02 -0.06 0.02 0.02 0.03 0.02 0.06 -0.02 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.01 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.05 -0.07 -0.02 0.03 -0.14 -0.09 -0.00 0.04 0.03 0.10 0.41 0.17 0.05 0.00 -0.03 0.33 0.13 -0.14 -0.08 -0.00 0.04 -0.28 0.18 0.34 0.04 0.01 0.01 -0.05 -0.02 -0.02 0.10 0.01 -0.04 -0.07 -0.07 0.10 -0.03 -0.01 -0.02 -0.03 -0.01 -0.04 0.01 -0.04 0.02 0.02 0.01 0.01 -0.04 -0.06 0.01 -0.02 -0.30 0.13 0.03 0.04 -0.01 0.21 0.20 0.01 0.02 -0.02 0.02 0.25 -0.11 0.15 -0.06 -0.01 -0.03 -0.07 0.06 -0.04 0.00 -0.01 -0.02 -0.03 -0.00 0.01 -0.03 -0.01 0.02 0.00 -0.00 0.01 0.00 0.00 -0.00 -0.00 0.01 0.01 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.02 0.00 -0.00 0.00 -0.00 0.00 0.01 -0.01 0.01 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.01 -0.01 0.01 0.00 0.00 -0.00 0.00 0.01 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.01 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 -0.00 -0.00 -0.03 0.07 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.01 -0.00 0.00 -0.02 -0.02 0.00 0.01 0.00 0.01 0.04 0.02 0.00 0.00 -0.00 0.04 0.02 -0.02 -0.01 -0.00 0.01 -0.04 0.03 0.04 0.00 0.01 -0.01 -0.00 -0.04 0.00 -0.02 -0.01 0.02 0.01 -0.06 -0.01 0.03 -0.01 -0.01 0.03 0.08 0.02 -0.04 -0.11 0.05 -0.02 -0.00 0.02 0.01 0.00 -0.00 -0.00 0.05 -0.01 0.00 0.00 -0.00 -0.01 -0.00 0.00 -0.01 0.00 -0.01 -0.06 0.02 -0.04 0.01 -0.01 0.01 0.01 -0.01 0.02 0.07 -0.04 0.02 0.22 0.14 0.03 -0.07 -0.01 -0.10 -0.09 0.03 -0.03 -0.03 -0.04 0.01 -0.00 -0.01 0.00 0.06 0.01 0.01 0.06 0.01 -0.00 -0.00 0.05 -0.02 0.03 -0.05 0.02 0.51 -0.12 0.12 -0.06 0.02 -0.02 -0.21 0.43 -0.17 0.07 0.01 0.01 -0.05 0.08 -0.03 -0.14 0.31 -0.12 -0.02 -0.08 0.02 -0.12 -0.20 0.04 0.03 0.01 0.00 0.01 0.01 -0.00 -0.04 0.03 -0.02 0.02 -0.03 0.01 0.18 -0.06 0.04 -0.01 0.02 -0.01 -0.04 0.08 -0.01 -0.02 0.01 -0.01 -0.01 -0.05 0.01 0.03 -0.05 0.02 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.02 -0.01 0.01 0.01 -0.01 -0.01 0.01 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.04 -0.05 -0.06 0.15 -0.15 -0.19 0.03 0.10 0.04 0.17 0.59 0.23 -0.09 -0.04 0.04 -0.44 -0.22 0.18 0.03 -0.05 -0.05 0.16 -0.17 -0.23 0.03 0.06 0.01 -0.03 0.00 0.01 0.00 0.02 0.02 0.00 -0.05 0.01 0.00 0.01 0.00 0.01 -0.04 0.03 0.00 0.03 -0.02 -0.01 0.00 -0.02 0.01 -0.02 0.01 0.01 -0.08 0.04 0.02 0.02 0.00 0.09 0.07 0.01 -0.02 0.01 -0.02 -0.13 0.05 -0.08 0.01 -0.02 0.01 0.01 -0.05 0.02 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.01 -0.01 -0.00 0.00 0.00 -0.00 0.01 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.01 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 0.01 -0.00 -0.01 -0.01 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.01 -0.01 -0.01 0.04 -0.04 -0.05 0.01 0.02 0.01 0.04 0.16 0.06 -0.02 -0.01 0.01 -0.11 -0.06 0.05 0.01 -0.01 -0.01 0.03 -0.03 -0.04 0.01 0.01 0.00 -0.01 -0.01 -0.00 0.03 -0.01 -0.01 -0.02 0.00 0.03 -0.02 -0.03 0.01 -0.02 -0.02 -0.04 0.02 0.01 -0.01 0.07 -0.00 0.03 -0.03 0.06 -0.04 -0.05 0.30 -0.15 -0.07 -0.07 -0.00 -0.38 -0.32 -0.03 0.08 -0.04 0.06 0.55 -0.22 0.34 -0.03 0.08 -0.05 -0.04 0.22 -0.11 0.00 -0.00 -0.00 0.03 0.01 -0.01 -0.03 -0.00 0.02 -0.01 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.01 0.00 0.00 0.00 -0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.02 -0.01 0.01 -0.00 0.00 -0.00 -0.01 0.03 -0.01 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.01 0.01 -0.00 -0.00 -0.00 0.00 -0.01 -0.01 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.01 0.03 -0.01 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.01 -0.01 -0.01 0.00 0.00 0.00 0.01 0.02 0.01 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 -0.02 0.01 0.02 0.01 -0.02 -0.01 0.01 -0.00 -0.00 0.01 0.03 -0.01 -0.00 -0.04 0.02 -0.00 -0.01 0.01 -0.00 0.00 -0.00 -0.00 0.03 -0.01 -0.00 0.00 -0.00 -0.01 -0.00 -0.00 0.00 -0.00 0.00 0.01 -0.01 0.01 0.00 0.00 -0.00 0.00 0.01 -0.00 0.02 -0.03 0.01 0.04 0.02 0.03 -0.04 -0.01 -0.07 -0.03 0.05 -0.02 0.04 -0.05 0.03 0.03 -0.07 0.03 0.00 0.02 -0.01 -0.07 0.03 -0.03 -0.08 -0.03 -0.00 -0.00 0.06 -0.02 -0.32 0.11 -0.09 0.03 -0.02 0.01 0.19 -0.43 0.17 0.01 -0.05 0.02 0.00 0.02 -0.01 -0.02 0.08 -0.03 -0.04 -0.01 -0.01 -0.06 -0.03 -0.00 0.03 -0.03 0.02 0.10 -0.04 0.03 0.03 0.07 -0.02 0.01 -0.08 0.03 0.53 -0.17 0.12 -0.06 0.03 -0.03 -0.21 0.38 -0.07 0.02 0.08 -0.02 -0.03 -0.03 0.01 0.04 0.01 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.01 0.01 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.01 0.01 0.01 0.00 -0.00 -0.00 -0.00 -0.02 -0.01 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.01 0.01 0.01 -0.00 -0.00 -0.00 0.00 -0.00 0.02 -0.01 -0.02 -0.01 0.01 0.02 -0.00 0.00 -0.00 -0.00 0.02 -0.01 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.01 0.00 0.00 -0.00 0.00 -0.00 -0.01 0.00 -0.01 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.04 0.03 -0.00 0.07 -0.00 -0.04 0.12 0.02 0.01 -0.07 -0.04 -0.00 -0.08 -0.04 0.00 -0.40 -0.39 0.08 0.07 0.06 -0.01 0.50 0.01 0.08 0.07 -0.01 0.02 -0.02 -0.02 0.00 -0.24 0.01 -0.04 0.00 0.02 -0.01 -0.04 0.13 -0.05 -0.00 -0.04 0.01 -0.00 -0.02 0.01 0.04 -0.14 0.05 0.02 0.03 -0.01 0.23 0.28 -0.05 -0.02 -0.00 -0.00 -0.17 0.01 -0.03 -0.02 -0.00 -0.00 0.02 0.00 0.00 0.26 -0.03 0.06 -0.03 -0.02 0.00 -0.00 -0.09 0.00 -0.02 0.07 -0.02 0.05 0.05 -0.01 -0.02 -0.04 0.01 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.01 -0.01 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.01 -0.00 -0.01 -0.00 0.00 0.00 0.00 0.02 0.01 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.01 -0.01 0.00 -0.00 0.00 -0.01 0.00 -0.02 0.01 0.02 0.01 -0.01 -0.02 0.00 -0.00 0.00 0.00 0.01 0.00 -0.00 -0.02 0.01 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.01 -0.01 -0.00 0.00 -0.00 -0.01 -0.00 -0.00 -0.00 -0.00 0.00 0.01 -0.00 0.01 0.00 0.00 0.00 0.00 0.01 -0.00 -0.02 -0.03 0.01 -0.04 0.02 0.04 -0.08 -0.02 -0.04 0.03 0.05 -0.01 0.03 -0.00 0.01 0.17 0.15 -0.03 -0.02 -0.03 0.01 -0.25 -0.00 -0.04 -0.04 0.03 -0.02 0.01 0.01 -0.00 0.17 -0.01 0.03 0.02 0.02 -0.00 -0.05 0.23 -0.08 0.03 -0.05 0.02 -0.01 -0.02 0.01 0.09 -0.28 0.10 0.03 0.04 -0.01 0.44 0.52 -0.08 -0.02 -0.01 0.00 -0.31 0.02 -0.06 -0.05 0.02 -0.02 0.02 0.01 -0.00 0.25 -0.02 0.04 0.00 0.01 -0.00 -0.03 0.10 -0.01 0.04 -0.01 0.01 -0.04 -0.04 0.01 -0.06 -0.06 0.01 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.08 0.04 -0.04 0.01 0.01 -0.01 -0.11 -0.10 -0.01 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.05 0.03 0.05 0.00 -0.01 -0.01 -0.01 -0.04 -0.01 0.06 0.22 0.09 0.03 0.02 -0.01 -0.30 -0.14 0.12 -0.02 0.03 0.03 0.06 -0.04 -0.07 -0.02 -0.09 -0.03 0.01 -0.01 -0.00 0.00 -0.05 -0.02 -0.11 0.18 0.09 -0.01 -0.00 0.02 -0.03 0.30 -0.28 0.07 0.04 0.01 0.09 -0.10 0.09 -0.02 0.05 -0.03 -0.01 -0.11 0.04 -0.05 -0.01 -0.02 0.43 0.39 0.02 0.05 -0.02 0.03 -0.25 0.09 -0.16 0.02 0.12 -0.04 0.02 0.05 -0.01 -0.00 0.00 -0.00 0.01 -0.01 -0.02 -0.04 0.00 0.04 0.01 -0.00 0.00 -0.00 0.00 -0.00 -0.01 -0.01 0.00 -0.00 0.00 -0.00 -0.04 0.01 -0.01 0.02 -0.00 0.00 0.00 -0.01 0.00 0.04 -0.01 0.01 -0.01 0.00 -0.00 -0.02 0.02 -0.01 -0.01 0.02 -0.01 0.01 -0.00 0.00 0.03 -0.05 0.02 0.00 -0.00 0.00 -0.03 -0.03 0.01 0.00 0.00 -0.00 -0.03 0.01 -0.01 0.01 -0.01 0.00 0.00 -0.00 0.00 0.04 -0.01 0.01 -0.01 0.00 -0.00 -0.03 0.06 -0.02 -0.00 0.00 -0.00 -0.00 -0.01 0.00 -0.01 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.04 -0.02 0.02 0.01 -0.01 0.00 -0.01 -0.01 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.02 -0.01 -0.02 -0.00 0.00 0.01 0.01 0.02 0.01 -0.03 -0.10 -0.04 -0.02 -0.01 0.01 0.13 0.06 -0.05 0.01 -0.02 -0.02 -0.04 0.03 0.04 0.02 0.04 0.01 -0.01 0.01 0.00 0.02 -0.00 -0.01 0.02 -0.04 -0.01 -0.00 -0.00 -0.00 0.00 -0.07 0.04 0.00 0.04 -0.03 0.01 0.01 -0.01 0.00 0.01 -0.00 0.01 -0.04 0.02 -0.00 -0.01 0.00 0.02 0.01 0.00 0.00 0.00 0.00 -0.02 0.01 -0.01 -0.00 0.01 -0.00 -0.00 -0.00 -0.00 -0.04 -0.00 -0.01 -0.09 -0.07 -0.02 -0.11 -0.00 0.04 0.09 0.03 0.01 -0.00 -0.00 -0.00 -0.24 -0.27 0.06 -0.02 0.01 -0.01 -0.23 0.04 -0.05 0.09 -0.04 0.03 0.02 -0.05 0.02 0.31 -0.09 0.08 -0.05 0.00 -0.01 -0.10 0.10 -0.05 -0.08 0.13 -0.06 0.06 0.00 0.01 0.20 -0.37 0.15 -0.00 -0.00 0.00 -0.20 -0.24 0.04 0.01 0.03 -0.01 -0.22 0.06 -0.06 0.12 -0.03 0.03 0.01 -0.04 0.02 0.22 -0.08 0.05 -0.06 0.01 -0.02 -0.16 0.23 -0.05 0.00 0.08 -0.02 -0.03 -0.05 0.01 -0.06 -0.02 -0.01 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.14 0.05 -0.07 -0.02 0.00 0.01 0.09 0.09 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.08 0.05 0.09 -0.00 0.00 -0.00 -0.03 -0.07 -0.02 0.09 0.35 0.15 0.06 0.03 -0.03 -0.43 -0.21 0.17 -0.04 0.06 0.06 0.14 -0.12 -0.17 -0.06 -0.13 -0.04 0.03 -0.00 -0.01 -0.06 0.00 0.01 -0.03 0.09 0.02 0.01 0.01 -0.01 0.01 0.06 -0.02 -0.03 -0.12 0.09 -0.09 0.02 -0.04 0.01 -0.06 0.03 -0.02 0.22 -0.10 0.04 0.03 0.00 -0.30 -0.24 -0.02 -0.05 0.01 -0.03 0.19 -0.08 0.13 -0.01 -0.09 0.04 -0.00 -0.03 0.02 -0.01 -0.00 -0.00 -0.09 -0.01 0.04 0.03 -0.00 -0.03 0.03 0.02 -0.00 -0.00 -0.01 0.00 -0.10 -0.12 0.03 -0.00 0.00 -0.00 -0.04 0.01 -0.01 0.02 -0.01 0.01 0.00 -0.01 0.01 0.07 -0.03 0.02 -0.01 0.00 -0.00 -0.02 0.01 -0.01 -0.02 0.04 -0.02 0.02 -0.00 0.00 0.06 -0.11 0.04 0.00 -0.00 0.00 -0.06 -0.07 0.01 0.00 0.01 -0.00 -0.06 0.02 -0.02 0.03 -0.01 0.01 0.00 -0.01 0.00 0.02 -0.01 0.01 -0.02 -0.00 -0.00 -0.03 0.02 -0.00 0.00 0.02 -0.01 -0.01 -0.01 0.00 -0.02 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.04 0.01 -0.02 -0.03 0.00 0.03 -0.03 -0.04 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.01 0.03 0.01 0.08 -0.02 -0.06 -0.02 -0.03 -0.00 0.02 0.12 0.06 0.04 -0.01 -0.03 0.00 -0.04 -0.02 -0.03 0.02 0.03 0.13 -0.13 -0.15 -0.09 -0.03 0.06 0.02 0.02 -0.03 0.12 -0.11 -0.11 0.12 -0.12 -0.10 -0.02 -0.06 -0.02 0.02 -0.47 0.39 -0.07 -0.04 -0.05 0.09 0.18 -0.04 0.01 0.06 -0.02 0.06 -0.41 0.22 -0.00 -0.08 0.03 -0.03 -0.11 0.03 0.04 0.02 0.01 -0.13 0.08 -0.10 -0.04 -0.00 -0.02 -0.05 -0.11 0.04 0.01 0.01 -0.01 0.13 -0.01 -0.09 -0.06 0.01 0.08 -0.02 -0.03 0.00 -0.01 0.01 -0.00 0.04 0.08 -0.02 -0.00 0.01 -0.00 -0.04 0.02 -0.01 0.02 -0.01 0.01 -0.00 -0.00 0.00 -0.01 -0.00 -0.00 -0.01 -0.00 0.00 -0.01 0.01 -0.00 0.01 0.01 -0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 0.00 -0.01 0.00 0.02 0.01 -0.00 0.00 -0.01 0.00 0.06 -0.01 0.01 -0.02 0.01 -0.01 0.00 -0.00 0.00 0.12 -0.02 0.02 0.00 0.01 -0.00 -0.02 0.08 -0.01 -0.01 -0.01 0.00 0.01 -0.01 0.00 -0.01 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.02 0.01 -0.00 -0.02 -0.03 -0.00 0.01 0.01 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.07 -0.03 0.03 -0.21 0.06 0.18 0.02 0.00 -0.02 -0.01 -0.10 -0.06 -0.04 0.05 0.05 -0.23 -0.04 0.13 0.03 -0.02 -0.04 -0.15 0.17 0.21 0.18 -0.03 -0.13 -0.05 -0.00 0.05 -0.07 -0.01 0.05 -0.30 0.31 0.28 -0.01 -0.01 0.00 -0.00 -0.12 0.08 -0.01 -0.00 -0.01 0.02 0.06 -0.02 0.00 0.01 -0.00 0.02 -0.09 0.05 0.01 -0.02 0.01 -0.07 -0.08 0.01 0.00 0.01 -0.00 -0.02 0.02 -0.02 -0.02 -0.03 0.00 -0.02 -0.07 0.03 0.02 0.02 0.00 0.14 -0.04 -0.11 -0.03 0.02 0.08 -0.05 -0.05 0.00 -0.03 0.03 -0.02 0.10 0.18 -0.05 0.00 0.03 -0.01 -0.21 0.07 -0.06 0.08 -0.00 0.01 -0.01 -0.02 0.00 -0.12 -0.01 -0.02 -0.02 -0.02 0.00 -0.02 -0.04 0.01 0.01 0.05 -0.01 0.00 0.00 -0.00 0.04 -0.09 0.04 0.01 -0.02 0.01 0.04 0.01 0.00 0.01 -0.02 0.01 0.19 -0.04 0.05 -0.07 0.01 -0.02 0.01 0.01 0.00 0.23 -0.02 0.04 0.02 0.04 -0.01 -0.04 0.19 -0.04 -0.01 -0.06 0.02 0.03 -0.04 0.02 -0.03 0.02 -0.01 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.02 -0.01 0.01 0.02 -0.01 0.00 0.01 0.02 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.05 0.02 -0.02 0.14 -0.04 -0.12 -0.01 0.00 0.01 -0.00 0.05 0.03 0.02 -0.03 -0.03 0.17 0.03 -0.09 -0.02 0.01 0.02 0.09 -0.10 -0.12 -0.11 0.02 0.09 0.03 0.01 -0.03 0.09 -0.04 -0.07 0.16 -0.14 -0.15 0.01 0.03 0.00 -0.01 0.19 -0.15 0.04 0.06 -0.01 -0.04 -0.09 0.01 -0.01 -0.03 0.01 -0.03 0.19 -0.11 0.00 0.04 -0.02 0.03 0.06 -0.02 -0.02 -0.01 -0.00 0.07 -0.04 0.05 0.02 0.01 0.01 0.03 0.07 -0.03 0.03 0.03 -0.00 0.02 -0.03 -0.02 0.09 0.02 0.02 -0.07 -0.05 0.01 -0.05 0.04 -0.02 0.05 0.16 -0.05 0.01 0.05 -0.01 -0.32 0.10 -0.09 0.14 0.00 0.02 -0.03 -0.03 0.00 -0.23 -0.01 -0.04 -0.04 -0.03 0.00 -0.02 -0.10 0.03 0.01 0.08 -0.02 0.01 0.00 -0.00 0.07 -0.16 0.06 0.03 -0.03 0.02 0.07 0.01 0.01 0.01 -0.03 0.01 0.33 -0.08 0.08 -0.12 0.01 -0.03 0.02 0.02 -0.00 0.30 -0.01 0.05 0.03 0.05 -0.01 -0.03 0.22 -0.05 -0.02 -0.10 0.03 0.06 -0.06 0.03 -0.06 0.04 -0.02 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.01 -0.00 -0.01 0.01 0.05 0.00 -0.01 -0.02 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.02 -0.01 0.01 -0.08 0.04 0.07 0.00 -0.00 -0.00 0.00 -0.01 -0.01 -0.00 0.01 0.01 -0.04 -0.00 0.01 0.00 -0.01 -0.00 0.00 -0.01 -0.03 0.01 0.02 -0.04 -0.01 -0.03 -0.00 -0.23 0.32 0.20 0.13 -0.23 -0.10 0.00 -0.01 -0.01 0.00 -0.03 0.02 -0.02 -0.16 0.10 0.01 0.03 0.01 0.00 0.02 -0.01 0.01 -0.09 0.06 -0.01 -0.02 0.00 0.01 0.00 0.01 0.01 -0.00 0.01 -0.02 0.01 -0.02 -0.00 0.01 -0.01 -0.01 0.01 -0.00 -0.01 -0.05 -0.00 -0.29 0.08 0.25 0.07 -0.04 -0.18 0.06 0.09 -0.01 0.00 -0.02 0.00 -0.26 -0.32 0.07 0.01 -0.00 0.00 -0.26 0.03 -0.06 0.06 -0.01 0.02 -0.00 -0.00 0.00 -0.15 0.01 -0.03 -0.02 -0.02 0.00 -0.02 -0.02 0.00 0.03 0.01 0.00 -0.01 -0.00 -0.00 -0.03 0.06 -0.02 0.01 -0.01 0.01 0.07 0.05 -0.00 -0.00 -0.02 0.01 0.22 -0.05 0.06 -0.07 0.02 -0.02 0.00 0.00 -0.00 -0.07 0.02 -0.01 0.02 -0.01 0.01 0.12 -0.24 0.05 -0.02 0.01 -0.01 0.01 -0.03 0.01 -0.00 0.04 -0.01 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.01 -0.00 -0.01 0.01 0.03 0.01 -0.01 -0.01 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.01 -0.00 0.01 -0.06 0.03 0.05 0.00 -0.00 -0.00 0.00 -0.01 -0.00 -0.00 0.00 0.00 -0.02 -0.00 0.00 -0.00 -0.01 -0.00 0.01 -0.02 -0.03 0.01 0.02 -0.02 -0.01 -0.01 -0.00 -0.15 0.21 0.13 0.09 -0.17 -0.07 -0.00 -0.01 -0.01 -0.00 -0.00 0.00 -0.01 -0.10 0.06 0.00 0.01 0.01 0.00 0.01 -0.00 0.01 -0.05 0.03 -0.00 -0.01 0.00 0.01 0.00 0.01 0.01 -0.00 0.00 -0.01 0.00 -0.01 -0.00 0.01 -0.01 -0.00 0.02 -0.01 0.03 -0.01 0.00 -0.06 0.05 0.10 0.18 -0.00 -0.12 -0.08 -0.00 -0.01 -0.00 -0.04 0.01 0.18 0.16 -0.03 0.02 -0.02 0.01 0.35 -0.07 0.08 -0.10 0.06 -0.04 -0.03 -0.03 0.00 0.22 -0.06 0.06 0.01 0.00 0.00 0.16 -0.43 0.17 -0.04 0.13 -0.05 0.02 0.02 -0.00 0.17 -0.37 0.15 0.04 -0.02 0.01 -0.01 -0.09 0.03 -0.00 0.02 -0.01 -0.06 0.02 -0.02 -0.05 -0.05 0.01 0.02 0.03 -0.01 0.10 0.03 0.02 -0.01 -0.01 0.00 0.04 -0.13 0.02 0.05 -0.01 0.01 0.04 0.00 0.00 -0.01 -0.02 0.01 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.03 -0.00 -0.02 0.03 0.00 0.04 -0.00 -0.01 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.03 -0.01 0.02 -0.15 0.08 0.15 -0.00 -0.01 -0.01 -0.00 -0.02 -0.01 -0.00 -0.00 0.00 -0.02 -0.00 0.00 -0.01 -0.02 0.00 0.06 -0.08 -0.10 0.01 0.04 -0.02 -0.02 -0.00 -0.01 -0.20 0.33 0.18 0.18 -0.32 -0.13 -0.00 0.01 -0.03 0.00 -0.02 0.04 0.01 -0.04 0.02 -0.01 -0.01 0.00 0.00 -0.00 0.00 0.01 -0.04 0.02 -0.00 -0.00 -0.00 0.02 0.01 0.00 0.00 -0.00 0.00 0.02 -0.01 0.01 0.01 0.02 -0.00 0.01 0.06 -0.03 0.04 0.02 -0.01 -0.08 -0.04 0.04 0.09 0.02 -0.02 -0.07 -0.04 0.01 -0.05 0.01 -0.01 0.11 0.20 -0.05 0.03 0.01 0.00 -0.07 0.03 -0.02 0.06 0.04 -0.00 -0.00 -0.01 0.00 -0.28 0.02 -0.06 0.01 0.00 0.00 -0.05 0.15 -0.06 -0.01 -0.06 0.02 0.00 0.01 -0.00 -0.00 0.02 -0.01 -0.04 0.02 -0.01 -0.08 -0.02 -0.01 0.03 0.01 0.00 -0.33 0.07 -0.08 0.12 0.02 0.02 -0.00 -0.02 0.01 -0.24 0.01 -0.06 -0.02 0.01 -0.01 -0.15 0.33 -0.09 0.03 -0.08 0.03 -0.02 0.00 -0.00 -0.01 -0.02 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.05 0.00 -0.03 0.03 -0.04 0.07 -0.00 -0.01 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.04 -0.01 0.03 -0.23 0.12 0.23 -0.00 -0.02 -0.01 -0.00 -0.02 -0.01 -0.00 -0.00 -0.00 -0.01 -0.00 -0.00 -0.02 -0.02 -0.00 0.11 -0.14 -0.17 0.03 0.05 -0.00 -0.04 0.02 -0.00 -0.09 0.21 0.09 0.17 -0.31 -0.10 -0.00 0.04 -0.03 0.02 -0.09 0.12 -0.00 0.18 -0.14 -0.03 -0.05 -0.01 0.01 -0.02 0.01 0.01 0.01 -0.00 0.00 0.02 -0.01 0.04 0.05 -0.01 -0.01 -0.01 0.00 0.06 -0.03 0.05 0.02 0.03 -0.00 0.03 0.15 -0.07 -0.01 0.02 -0.03 0.09 -0.05 -0.13 -0.15 0.01 0.19 0.04 -0.07 0.03 0.05 0.04 -0.01 0.03 0.02 0.01 -0.06 0.00 -0.01 0.14 -0.02 0.04 -0.04 -0.07 0.02 0.02 0.03 -0.01 0.32 -0.01 0.06 0.01 0.01 -0.00 -0.03 0.12 -0.05 -0.01 -0.01 0.00 -0.00 -0.03 0.01 -0.06 0.14 -0.06 0.02 0.01 -0.00 0.03 0.01 0.00 -0.04 -0.01 -0.00 0.24 -0.05 0.06 -0.04 -0.02 -0.00 -0.00 0.00 -0.00 0.34 -0.04 0.07 0.01 0.01 -0.00 0.01 0.03 0.00 -0.06 0.05 -0.02 0.01 0.03 -0.01 0.02 0.01 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.03 0.01 -0.02 -0.04 0.01 0.02 -0.02 -0.04 0.01 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.02 -0.00 0.01 -0.11 0.06 0.11 -0.00 -0.01 -0.00 0.00 0.01 0.00 0.00 -0.00 -0.00 0.01 -0.00 0.00 -0.01 -0.01 0.00 0.06 -0.07 -0.08 0.02 0.01 0.01 -0.01 0.01 0.02 0.14 -0.22 -0.12 -0.04 0.03 0.04 0.04 0.05 -0.02 0.07 -0.26 0.35 -0.05 0.33 -0.27 -0.07 -0.07 -0.04 0.02 -0.02 0.02 0.03 -0.08 0.04 0.01 0.02 -0.01 0.04 0.04 -0.01 -0.01 -0.01 0.00 0.09 -0.05 0.07 0.04 0.05 -0.00 0.05 0.32 -0.14 -0.01 -0.02 0.00 0.21 0.07 -0.09 -0.11 -0.02 0.03 0.00 0.07 -0.03 -0.02 -0.03 0.01 -0.06 -0.08 0.01 0.04 -0.01 0.01 -0.12 0.01 -0.03 0.01 0.05 -0.01 -0.01 -0.02 0.00 -0.17 0.00 -0.03 -0.01 -0.01 0.00 0.05 -0.18 0.07 0.04 0.03 -0.00 -0.01 0.04 -0.02 0.05 -0.12 0.05 -0.02 -0.03 0.01 0.02 0.01 -0.00 0.04 0.00 0.01 -0.10 0.02 -0.02 -0.01 0.03 -0.01 -0.00 -0.00 -0.00 -0.20 0.02 -0.04 -0.00 -0.02 0.01 0.07 -0.21 0.05 0.03 0.02 0.00 -0.01 -0.02 0.00 -0.02 -0.02 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.06 0.00 -0.04 0.03 -0.00 -0.04 0.02 0.04 -0.01 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.03 -0.03 0.01 -0.36 0.20 0.37 -0.00 -0.01 -0.00 0.00 0.02 0.01 -0.02 -0.03 -0.00 0.16 0.05 -0.07 -0.03 -0.02 0.00 0.21 -0.25 -0.30 0.03 0.10 0.06 -0.04 0.00 0.02 0.21 -0.22 -0.14 -0.04 0.01 0.02 -0.03 -0.04 0.03 -0.05 0.15 -0.22 0.04 -0.08 0.09 0.07 0.02 0.03 -0.02 0.01 -0.01 -0.04 0.15 -0.09 -0.01 -0.01 -0.00 -0.00 0.00 0.00 0.00 0.01 -0.00 -0.06 0.03 -0.05 -0.03 -0.04 0.00 -0.04 -0.31 0.13 -0.01 -0.00 0.00 0.08 0.01 -0.05 -0.13 -0.00 0.07 0.00 0.02 -0.00 -0.01 -0.01 0.00 -0.02 -0.03 0.01 0.01 -0.00 0.00 -0.04 0.00 -0.01 0.00 0.02 -0.00 -0.00 -0.00 0.00 -0.06 0.00 -0.01 -0.01 -0.01 0.00 0.02 -0.08 0.03 0.02 0.01 0.00 -0.01 0.02 -0.01 0.02 -0.04 0.02 -0.01 -0.02 0.00 0.01 0.01 -0.00 0.02 0.00 0.00 -0.04 0.01 -0.01 -0.01 0.01 -0.01 0.00 -0.00 0.00 -0.07 0.01 -0.02 -0.00 -0.01 0.00 0.03 -0.09 0.03 0.01 0.01 -0.00 -0.01 -0.01 0.00 -0.01 -0.01 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.02 0.00 -0.02 -0.04 0.06 -0.07 -0.02 -0.04 0.01 0.00 0.00 -0.01 -0.02 -0.02 0.04 -0.01 -0.01 0.05 -0.02 0.02 0.05 0.00 -0.00 0.00 -0.02 0.01 0.00 -0.02 -0.00 0.00 -0.01 0.01 -0.01 -0.01 -0.01 -0.00 -0.16 0.09 0.17 -0.00 -0.00 -0.00 0.01 0.03 0.01 -0.01 -0.02 0.00 0.10 0.03 -0.04 -0.01 -0.01 0.00 0.10 -0.11 -0.13 0.02 0.04 0.03 -0.01 -0.03 0.03 0.19 -0.29 -0.14 -0.13 0.19 0.06 0.03 0.01 0.01 0.04 -0.01 0.05 -0.02 -0.11 0.09 -0.06 0.01 -0.02 0.02 0.01 0.01 0.04 -0.19 0.11 0.02 0.00 0.01 -0.04 -0.05 0.00 0.00 -0.01 0.00 0.03 -0.02 0.02 0.02 0.03 -0.00 0.03 0.29 -0.12 0.01 -0.02 0.03 -0.27 0.01 0.22 0.32 -0.01 -0.29 -0.03 0.01 -0.01 -0.00 -0.01 0.00 0.01 -0.00 -0.00 0.00 0.00 0.00 0.04 -0.00 0.01 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.06 -0.01 0.01 0.02 0.01 -0.00 -0.03 0.16 -0.06 -0.08 -0.02 -0.01 0.03 -0.07 0.03 -0.04 0.12 -0.04 0.04 0.05 -0.01 -0.03 -0.02 0.00 -0.07 0.00 -0.01 0.11 -0.02 0.03 0.02 -0.06 0.02 0.01 0.01 -0.00 0.11 0.00 0.02 -0.00 0.01 -0.00 -0.07 0.18 -0.06 0.01 -0.04 0.02 0.01 -0.02 0.01 0.04 0.06 -0.01 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.04 0.01 -0.10 -0.24 -0.21 0.41 -0.06 -0.13 0.45 -0.18 0.20 0.45 0.05 -0.02 0.01 -0.21 0.16 -0.01 -0.28 -0.01 -0.02 -0.20 0.10 -0.12 0.00 0.00 0.00 0.01 -0.01 -0.01 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.01 -0.00 0.00 0.00 0.00 -0.00 -0.01 0.01 0.01 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.01 0.02 0.01 0.01 -0.01 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.01 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.01 -0.01 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.02 0.01 -0.00 0.00 -0.00 0.02 0.00 -0.02 -0.01 0.00 0.02 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.01 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 -0.00 -0.00 0.01 -0.00 -0.00 -0.00 0.00 -0.01 -0.00 -0.00 0.00 -0.00 0.00 0.01 -0.01 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.01 0.01 0.00 -0.00 -0.01 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.01 0.00 0.00 -0.01 0.00 -0.00 -0.01 -0.00 0.00 -0.00 0.01 -0.01 0.00 0.01 0.00 0.00 0.01 -0.01 0.01 -0.00 -0.00 -0.00 -0.02 0.01 0.02 0.00 -0.00 -0.00 0.00 0.01 0.00 -0.00 -0.00 0.00 0.01 0.01 -0.01 -0.00 -0.00 0.00 0.01 -0.01 -0.02 0.00 0.01 0.00 -0.00 -0.01 -0.00 -0.01 0.01 0.01 -0.00 -0.01 0.01 -0.00 -0.00 0.00 -0.01 0.05 -0.06 -0.01 -0.06 0.05 -0.01 0.01 -0.00 0.00 0.00 -0.00 0.01 -0.05 0.03 0.00 -0.00 0.00 -0.02 -0.02 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.05 -0.02 -0.01 0.02 0.01 0.18 0.05 -0.09 0.34 0.01 -0.10 -0.11 -0.06 -0.01 -0.01 -0.03 0.01 0.16 0.17 -0.04 0.00 0.10 -0.03 -0.20 0.13 -0.08 -0.03 -0.15 0.05 0.06 0.02 0.00 0.24 -0.00 0.04 -0.01 0.05 -0.02 -0.06 0.19 -0.07 -0.11 -0.06 -0.00 0.06 0.01 0.01 0.14 -0.20 0.09 -0.03 -0.01 -0.00 0.01 0.03 -0.01 0.03 -0.07 0.03 0.26 -0.10 0.08 0.03 0.17 -0.05 -0.06 -0.02 -0.01 -0.31 0.01 -0.05 -0.00 -0.07 0.02 0.11 -0.37 0.08 0.14 0.12 -0.01 0.04 -0.06 0.03 -0.07 0.03 -0.02 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.03 -0.04 -0.03 -0.02 -0.05 0.01 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 0.01 0.00 0.00 0.01 -0.00 0.00 0.01 -0.00 -0.01 -0.03 0.02 0.03 0.00 0.00 0.00 0.00 0.01 0.00 -0.01 -0.01 -0.00 0.05 0.02 -0.02 -0.00 0.00 0.00 0.03 -0.03 -0.04 -0.01 0.02 0.01 0.01 0.00 -0.00 0.01 0.00 -0.00 -0.04 0.08 0.02 0.01 0.00 0.03 -0.02 0.27 -0.31 0.01 -0.35 0.31 -0.10 0.05 -0.04 0.03 0.02 -0.00 0.06 -0.37 0.20 0.04 0.00 0.02 -0.15 -0.15 0.01 -0.00 -0.01 0.00 -0.00 -0.01 0.00 0.02 0.02 0.00 0.03 0.44 -0.19 -0.01 0.02 -0.00 -0.04 -0.05 -0.03 -0.07 0.01 0.09 0.04 -0.05 0.03 0.03 0.03 -0.01 0.01 0.01 -0.00 -0.04 -0.00 -0.01 0.07 -0.02 0.02 0.01 -0.03 0.01 0.00 0.01 -0.00 -0.00 0.01 -0.00 -0.01 -0.01 0.00 0.02 -0.09 0.03 0.08 0.01 0.01 -0.03 0.06 -0.03 0.02 -0.08 0.03 -0.04 -0.05 0.01 0.01 0.01 -0.00 0.07 -0.00 0.01 -0.14 0.03 -0.03 -0.01 0.04 -0.02 -0.00 -0.01 0.00 -0.02 -0.01 0.00 0.01 0.01 -0.00 0.02 -0.01 0.00 -0.05 0.01 -0.01 0.02 0.05 -0.01 -0.04 -0.07 0.01 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.01 0.01 -0.05 -0.11 -0.13 0.22 -0.04 -0.07 0.23 -0.08 0.11 0.24 -0.10 0.04 -0.03 0.38 -0.32 0.03 0.53 0.04 0.06 0.38 -0.20 0.22 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.01 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.01 0.00 -0.00 -0.00 0.00 0.01 -0.00 -0.01 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 -0.00 0.00 0.05 -0.07 0.03 -0.00 -0.02 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 0.00 -0.01 0.00 0.00 -0.01 0.00 -0.00 0.00 0.00 -0.00 0.03 -0.02 -0.03 0.00 0.00 0.00 -0.00 -0.01 -0.00 0.00 -0.00 -0.00 -0.01 -0.00 0.00 0.00 0.00 0.00 -0.01 0.01 0.01 -0.01 -0.00 -0.00 0.00 0.02 -0.02 -0.08 0.13 0.05 0.05 -0.08 -0.00 -0.02 -0.01 0.02 -0.04 0.23 -0.28 0.01 -0.16 0.15 -0.04 0.03 -0.02 0.01 0.02 -0.01 0.03 -0.20 0.10 0.03 0.00 0.01 -0.10 -0.10 0.00 -0.00 -0.00 0.00 -0.02 0.00 -0.01 0.01 -0.00 0.00 0.01 0.19 -0.09 -0.03 0.02 0.00 0.48 -0.01 -0.35 -0.32 0.01 0.22 -0.02 0.08 -0.03 -0.05 -0.05 0.01 -0.04 -0.03 0.00 0.08 -0.01 0.02 -0.13 0.01 -0.03 0.00 0.07 -0.02 -0.01 -0.02 0.00 -0.07 -0.01 -0.01 0.01 0.01 -0.00 0.00 0.01 -0.00 -0.06 0.00 -0.01 0.02 -0.07 0.03 -0.05 0.12 -0.05 0.04 0.04 -0.01 0.01 0.01 0.00 -0.08 0.01 -0.02 0.15 -0.02 0.03 0.00 -0.06 0.02 0.01 0.02 -0.00 0.02 0.02 -0.00 -0.01 -0.02 0.01 0.01 -0.08 0.03 0.07 0.02 0.01 -0.07 -0.07 0.01 0.06 0.06 -0.01 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.02 0.03 0.04 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.01 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.02 0.01 0.02 -0.00 -0.00 -0.00 0.00 0.01 0.01 -0.00 -0.00 0.00 0.01 0.01 -0.01 -0.00 0.00 0.00 0.01 -0.01 -0.01 0.00 0.00 -0.00 0.00 -0.01 -0.01 -0.06 0.02 0.03 -0.00 -0.06 0.05 -0.01 -0.00 -0.00 -0.01 0.02 -0.03 -0.00 0.01 -0.01 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.03 0.01 -0.13 -0.02 0.06 0.50 -0.07 -0.39 0.55 -0.01 -0.45 0.04 0.00 -0.02 0.02 0.02 -0.00 -0.06 -0.08 0.00 -0.03 -0.02 0.00 0.02 -0.03 0.01 0.00 0.01 -0.00 -0.01 0.01 -0.01 0.01 0.01 -0.00 0.01 -0.02 0.01 0.00 0.01 -0.00 0.03 0.00 0.00 -0.01 0.00 -0.00 -0.02 0.03 -0.01 -0.01 0.00 -0.00 -0.02 -0.01 -0.00 0.02 0.01 0.00 -0.09 0.02 -0.02 0.00 -0.02 0.01 0.01 -0.00 0.00 0.02 -0.01 0.01 -0.01 0.02 -0.01 -0.02 0.07 -0.03 -0.03 -0.03 0.01 0.02 0.01 0.00 -0.03 0.01 -0.01 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.01 -0.02 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.02 -0.01 -0.02 0.00 0.00 0.00 -0.01 -0.02 -0.01 0.01 0.00 -0.00 -0.03 -0.01 0.01 0.00 -0.00 -0.00 -0.02 0.01 0.02 0.00 -0.00 -0.00 -0.01 0.02 0.00 0.01 -0.01 -0.01 0.04 -0.05 -0.02 -0.00 -0.01 0.01 -0.01 0.05 -0.05 0.00 0.03 -0.02 -0.00 0.00 -0.01 -0.00 0.00 -0.00 0.00 -0.03 0.01 0.01 0.00 0.00 -0.02 -0.02 -0.00 -0.00 -0.00 0.00 -0.01 0.00 -0.01 -0.00 -0.00 0.00 0.00 0.03 -0.01 0.05 -0.02 -0.01 0.10 0.06 -0.00 -0.43 -0.01 0.23 -0.06 0.12 -0.04 0.08 -0.03 0.02 -0.07 -0.22 0.07 -0.06 -0.01 -0.01 0.24 -0.06 0.06 -0.06 0.05 -0.03 -0.10 0.05 -0.03 0.22 0.02 0.03 0.11 -0.04 0.03 0.04 0.19 -0.05 -0.04 -0.06 0.01 0.04 -0.02 0.01 0.02 0.03 -0.01 -0.03 0.03 -0.02 -0.04 0.03 -0.02 0.04 -0.03 0.02 -0.15 -0.00 -0.03 0.01 0.00 0.00 0.13 -0.06 0.04 -0.38 -0.01 -0.07 -0.07 0.07 -0.03 -0.07 0.04 -0.02 -0.11 -0.06 -0.00 0.32 -0.13 0.10 -0.20 0.16 -0.09 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.02 -0.00 0.01 -0.03 -0.01 0.04 0.01 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.01 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.04 -0.00 -0.03 -0.08 0.09 0.11 -0.00 -0.02 -0.01 0.06 0.18 0.07 -0.04 -0.03 0.01 0.25 0.11 -0.11 -0.01 0.03 0.03 0.14 -0.10 -0.17 -0.02 0.02 0.02 0.09 -0.09 -0.09 -0.27 0.40 0.22 -0.32 0.45 0.29 0.00 -0.03 0.00 -0.00 0.03 0.01 -0.04 0.19 -0.19 0.00 0.00 -0.01 -0.00 0.01 -0.00 0.00 -0.03 0.01 0.01 0.00 0.00 -0.03 -0.03 -0.00 0.00 -0.00 0.00 -0.02 0.00 -0.01 -0.00 -0.01 0.00 -0.00 0.00 -0.00 0.01 0.01 -0.01 -0.00 0.02 0.01 -0.04 0.00 0.06 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.01 0.00 -0.01 0.01 0.05 0.02 0.02 0.02 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.01 -0.00 0.01 0.02 -0.02 -0.03 -0.00 0.01 0.00 -0.02 -0.06 -0.02 0.01 0.01 -0.00 -0.08 -0.03 0.03 0.00 -0.01 -0.01 -0.04 0.02 0.04 0.01 -0.00 -0.00 -0.03 0.00 0.02 0.10 0.01 -0.02 0.08 -0.09 -0.14 -0.01 -0.13 0.05 -0.04 0.42 -0.13 0.06 0.55 -0.45 -0.00 0.01 -0.02 -0.02 0.03 -0.02 0.00 -0.20 0.08 0.04 0.02 0.01 -0.20 -0.18 -0.02 0.02 -0.02 0.02 -0.15 0.04 -0.09 -0.02 -0.03 0.01 -0.02 0.11 -0.07 0.01 -0.01 -0.00 -0.07 0.01 0.07 0.04 -0.01 -0.06 -0.01 0.01 0.00 0.00 0.00 -0.00 -0.02 -0.02 0.01 -0.00 -0.00 0.00 -0.02 -0.00 -0.00 -0.00 -0.01 0.00 0.01 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.01 -0.00 -0.00 -0.00 0.00 -0.01 -0.01 -0.00 0.00 0.01 -0.00 0.02 -0.04 0.02 0.00 -0.00 0.00 -0.00 -0.01 0.00 0.00 -0.00 0.00 0.01 -0.00 0.00 -0.00 0.01 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.01 -0.00 0.00 -0.01 0.04 -0.01 -0.01 -0.01 0.00 0.00 0.02 -0.01 0.01 -0.01 0.01 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.01 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.01 0.01 -0.00 0.00 0.01 0.01 -0.00 -0.00 -0.01 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.01 -0.00 0.00 0.00 -0.00 -0.01 -0.01 0.01 0.00 -0.00 -0.00 -0.01 0.00 0.01 0.00 -0.00 0.00 -0.01 -0.00 0.01 0.05 0.01 -0.00 0.01 0.01 -0.06 0.00 -0.02 0.01 -0.00 0.06 -0.02 -0.00 0.09 -0.07 -0.00 0.00 -0.00 -0.00 0.01 -0.00 -0.00 -0.03 0.01 0.01 0.00 0.00 -0.03 -0.03 -0.00 0.00 -0.00 0.00 -0.03 0.01 -0.02 -0.00 -0.00 0.00 -0.00 0.02 -0.01 -0.02 0.01 -0.02 -0.16 0.08 0.12 0.20 -0.02 0.05 0.05 -0.08 0.04 -0.05 -0.04 0.00 0.26 0.32 -0.07 -0.02 0.04 -0.02 0.21 0.01 0.03 0.05 0.03 -0.00 -0.03 0.05 -0.02 -0.07 0.06 -0.03 0.01 -0.11 0.04 -0.05 0.07 -0.03 0.15 0.07 0.00 -0.02 -0.06 0.02 -0.18 0.35 -0.14 -0.03 0.02 -0.01 -0.03 0.03 -0.02 0.02 0.02 -0.00 -0.16 0.05 -0.04 0.04 -0.08 0.03 -0.02 -0.02 0.00 0.23 -0.06 0.07 -0.05 0.05 -0.02 0.13 -0.44 0.11 0.08 0.12 -0.02 -0.06 -0.13 0.03 -0.12 0.06 -0.04 -0.00 0.00 0.00 0.00 0.00 0.00 -0.01 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.05 0.01 -0.01 0.19 -0.44 0.23 0.04 0.15 -0.37 0.54 0.11 0.28 -0.01 0.00 0.03 0.02 0.19 -0.18 -0.04 -0.11 -0.26 0.11 -0.08 0.08 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.01 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.02 -0.00 -0.00 0.04 -0.17 0.12 0.04 0.13 -0.17 0.28 0.04 0.11 0.02 0.01 -0.05 -0.09 -0.39 0.42 0.10 0.21 0.52 -0.31 0.10 -0.21 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.01 0.01 0.00 -0.00 0.01 -0.01 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.02 -0.01 -0.00 -0.01 -0.02 -0.01 -0.01 0.00 0.01 -0.00 -0.00 -0.00 0.01 -0.01 -0.00 -0.01 0.01 0.02 0.00 0.02 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.01 0.01 0.00 0.02 -0.01 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.02 0.01 0.01 -0.05 -0.10 -0.02 -0.01 0.02 -0.09 -0.03 -0.02 0.00 -0.01 0.02 -0.01 -0.09 -0.07 0.01 0.03 0.00 0.00 -0.13 0.02 -0.03 0.04 -0.02 0.01 -0.10 -0.02 -0.01 0.39 -0.09 0.10 0.00 0.07 -0.02 0.17 -0.38 0.15 0.06 0.03 0.00 0.04 -0.06 0.03 -0.12 0.37 -0.14 -0.06 -0.04 0.00 0.23 0.31 -0.05 -0.04 0.04 -0.02 0.21 0.01 0.03 0.04 0.00 0.01 0.05 0.02 0.01 -0.24 0.06 -0.06 -0.02 -0.06 0.01 -0.15 0.24 -0.08 0.03 0.03 -0.00 -0.00 0.02 -0.01 -0.07 -0.05 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.04 0.01 0.33 -0.20 -0.07 -0.15 -0.42 -0.17 -0.19 0.06 0.08 -0.01 -0.04 -0.01 0.29 -0.02 -0.21 -0.22 0.09 0.30 0.14 0.52 0.09 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.01 -0.00 -0.00 0.00 -0.01 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.01 0.01 -0.00 -0.00 0.00 -0.00 0.01 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.00 -0.01 0.01 -0.01 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 0.00 0.00 -0.00 -0.01 -0.01 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.01 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.01 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.01 -0.00 0.01 0.01 -0.00 -0.01 -0.01 -0.02 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.02 -0.01 -0.00 -0.00 -0.01 0.02 -0.00 -0.00 -0.00 -0.00 0.01 0.01 0.01 0.01 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.02 -0.00 0.01 -0.04 -0.10 -0.04 -0.01 0.01 -0.11 0.07 0.00 0.01 0.02 -0.04 0.02 0.17 0.12 -0.02 -0.10 -0.02 -0.01 0.50 -0.10 0.12 0.06 0.16 -0.04 -0.00 -0.03 0.01 -0.26 0.01 -0.05 0.03 -0.04 0.02 -0.06 0.19 -0.07 -0.07 0.06 -0.03 0.04 0.01 0.00 0.06 -0.01 0.01 0.00 -0.06 0.02 0.18 0.14 -0.01 -0.09 -0.01 -0.01 0.51 -0.08 0.12 0.06 0.15 -0.04 -0.02 -0.03 0.01 -0.19 -0.01 -0.03 0.03 -0.03 0.01 -0.06 0.18 -0.05 -0.06 0.05 -0.03 -0.02 -0.10 0.03 0.01 -0.11 0.04 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.01 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.04 -0.01 -0.36 0.19 0.11 0.17 0.49 0.17 0.27 -0.06 -0.08 -0.02 -0.03 -0.01 0.27 0.02 -0.23 -0.20 0.06 0.19 0.17 0.43 0.11 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.04 -0.03 -0.01 0.00 -0.03 0.04 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 -0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.01 0.00 -0.00 0.01 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.01 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.01 0.00 0.01 -0.01 0.00 0.01 -0.00 0.00 0.00 0.00 0.03 -0.02 -0.00 -0.01 -0.04 -0.02 -0.02 0.01 0.01 0.00 0.00 -0.00 -0.02 -0.01 0.03 0.02 0.00 -0.00 -0.02 -0.03 -0.01 0.01 -0.00 -0.01 -0.04 0.04 0.05 -0.00 -0.01 -0.00 0.02 0.07 0.03 -0.02 0.00 0.01 0.05 0.03 -0.01 0.01 0.01 -0.01 -0.00 0.02 0.02 -0.01 -0.01 -0.01 0.04 0.06 -0.03 -0.51 -0.43 -0.08 0.04 -0.41 0.56 0.00 -0.00 0.01 0.00 0.00 -0.02 -0.01 0.03 -0.02 0.01 -0.01 0.01 -0.01 0.00 -0.01 -0.01 -0.03 0.01 0.01 0.02 -0.00 -0.07 -0.05 -0.01 0.02 -0.01 0.01 -0.08 0.02 -0.05 -0.01 -0.01 -0.00 -0.01 0.04 -0.03 0.01 0.00 -0.00 -0.07 -0.01 0.04 -0.02 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.01 0.01 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.01 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.01 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.01 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.04 0.03 0.05 0.00 -0.01 -0.00 0.00 0.02 -0.01 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.08 0.02 -0.04 -0.14 0.19 0.21 -0.03 -0.13 -0.06 0.16 0.52 0.20 -0.09 0.02 0.07 0.30 0.22 -0.07 0.06 0.04 -0.01 0.01 0.11 0.07 -0.00 -0.10 -0.06 -0.04 0.03 0.05 0.21 0.03 -0.02 0.14 -0.04 -0.32 -0.01 0.02 -0.02 0.00 -0.02 0.13 0.11 -0.06 0.09 0.02 -0.04 0.03 -0.03 -0.00 -0.01 -0.03 -0.02 -0.01 0.02 0.04 -0.01 -0.15 -0.09 -0.03 0.04 -0.03 0.03 -0.19 0.06 -0.12 -0.02 -0.02 -0.00 -0.03 0.09 -0.06 -0.00 -0.00 -0.00 0.02 0.01 -0.01 0.01 -0.00 0.01 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.01 -0.00 0.00 0.00 -0.00 0.00 -0.01 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.01 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.01 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.01 0.02 0.02 0.01 0.01 -0.00 -0.02 -0.06 0.02 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.03 0.00 -0.02 -0.07 0.09 0.10 -0.01 -0.05 -0.02 0.06 0.21 0.08 -0.04 0.01 0.03 0.11 0.09 -0.02 0.03 0.01 -0.01 -0.01 0.06 0.04 -0.01 -0.04 -0.02 -0.01 0.03 0.01 -0.04 -0.09 -0.03 0.08 -0.14 0.01 -0.01 -0.08 0.03 -0.02 0.34 0.02 0.17 0.16 -0.09 -0.04 0.10 -0.06 0.06 0.00 0.03 0.07 0.06 0.01 -0.04 -0.10 0.03 0.37 0.23 0.07 -0.11 0.07 -0.09 0.47 -0.14 0.29 0.06 0.04 0.02 0.08 -0.18 0.12 0.01 0.00 -0.00 -0.03 -0.02 0.01 -0.02 0.00 -0.02 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.01 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.01 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.02 0.01 0.00 0.01 0.02 0.01 0.01 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.01 0.02 0.01 -0.00 0.00 0.00 0.01 0.01 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.04 0.02 0.00 0.00 0.02 -0.04 0.00 0.00 -0.00 0.00 -0.03 -0.03 -0.05 0.00 -0.02 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 -0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 -0.01 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.04 0.02 0.03 -0.06 -0.37 -0.14 -0.26 0.08 -0.32 -0.05 0.04 -0.02 0.03 -0.03 0.02 0.07 -0.00 0.01 -0.05 0.03 -0.02 0.08 0.02 0.01 -0.06 -0.10 0.02 0.12 0.05 0.00 -0.29 0.11 -0.09 -0.03 -0.11 0.03 -0.18 0.26 -0.11 0.08 0.08 -0.01 -0.03 0.03 -0.02 -0.00 -0.04 0.01 0.03 -0.03 0.01 0.05 -0.01 0.01 -0.04 0.03 -0.02 0.05 0.02 0.00 -0.07 -0.09 0.02 0.12 0.05 0.01 -0.31 0.12 -0.10 -0.03 -0.12 0.03 -0.21 0.32 -0.10 0.07 0.06 -0.01 -0.01 0.03 -0.01 -0.03 0.02 -0.01 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.01 -0.00 -0.01 -0.01 -0.01 -0.01 -0.01 0.00 -0.01 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.01 -0.01 0.00 0.00 -0.02 -0.01 0.00 0.02 0.01 -0.02 -0.07 -0.03 0.01 -0.00 -0.01 -0.04 -0.03 0.01 -0.01 -0.00 0.00 0.00 -0.01 -0.01 -0.01 0.02 0.01 0.01 -0.01 -0.01 -0.03 0.01 0.01 -0.04 0.05 0.05 -0.05 -0.02 -0.05 -0.02 0.34 0.57 0.67 -0.01 0.23 0.02 0.00 0.01 -0.01 -0.02 0.01 -0.02 0.06 -0.03 0.01 0.02 -0.01 -0.03 -0.01 -0.01 0.01 -0.00 0.01 -0.05 0.02 -0.03 -0.00 -0.01 0.01 0.00 0.11 -0.05 -0.00 0.01 0.01 0.01 -0.04 -0.03 -0.03 0.01 -0.02 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.01 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.01 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.02 -0.00 0.00 0.01 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.08 -0.09 0.00 0.01 0.00 -0.01 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.01 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.01 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.06 0.12 0.11 0.43 -0.22 -0.44 0.05 -0.06 -0.07 0.10 0.05 -0.04 -0.04 -0.04 -0.00 0.30 0.11 -0.14 -0.08 0.08 0.10 0.29 -0.25 -0.36 0.16 0.04 -0.09 -0.05 0.02 0.03 -0.03 -0.08 -0.02 0.00 -0.10 0.05 -0.00 -0.01 0.00 -0.00 0.04 0.02 0.04 0.02 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.01 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.01 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.01 0.01 0.01 0.00 0.01 -0.03 -0.08 -0.01 -0.04 0.01 -0.08 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.01 0.01 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.01 -0.00 -0.00 0.02 -0.00 0.00 0.00 0.00 -0.00 0.01 -0.01 0.00 -0.00 -0.01 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.01 -0.00 -0.01 -0.01 0.00 0.00 -0.00 0.00 -0.01 -0.00 -0.00 -0.00 0.00 -0.00 -0.01 -0.00 -0.00 0.01 -0.00 0.00 0.00 0.00 -0.00 0.01 -0.03 0.01 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.01 -0.01 -0.00 0.00 -0.00 -0.01 0.00 -0.00 0.00 0.00 0.00 0.00 0.01 -0.01 -0.00 -0.01 -0.02 -0.01 -0.01 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.01 0.03 -0.02 -0.03 0.00 -0.00 -0.00 0.01 0.00 -0.00 -0.00 -0.00 0.00 0.02 0.01 -0.01 -0.01 0.01 0.01 0.02 -0.02 -0.02 0.01 0.00 -0.01 -0.00 0.01 0.00 -0.02 -0.01 -0.00 0.00 -0.02 0.02 -0.00 -0.00 0.00 -0.00 0.02 0.02 0.03 -0.00 0.02 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.01 -0.00 0.01 0.00 0.00 0.00 0.00 -0.00 0.00 -0.05 -0.04 -0.04 0.16 0.56 0.18 0.34 -0.13 0.50 0.01 0.03 -0.01 0.01 -0.02 0.01 0.04 0.02 0.00 -0.02 0.01 -0.01 0.03 0.00 0.00 -0.03 -0.04 0.01 0.09 -0.01 0.02 -0.16 0.02 -0.03 -0.04 -0.01 -0.01 -0.07 0.05 -0.03 -0.02 0.04 -0.02 0.04 0.01 0.00 0.02 0.08 -0.02 -0.05 -0.08 0.02 0.21 0.23 -0.03 -0.02 0.05 -0.02 0.12 0.04 0.01 0.02 -0.05 0.02 0.06 -0.01 0.01 -0.08 0.00 -0.02 -0.04 0.02 -0.01 -0.07 0.09 -0.03 0.00 -0.03 0.01 0.01 0.04 -0.01 0.01 0.01 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.01 -0.00 -0.00 -0.00 -0.01 -0.01 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.01 -0.01 -0.02 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.01 0.00 -0.01 -0.00 0.00 0.00 0.01 -0.01 -0.01 0.01 0.00 -0.00 -0.00 0.00 0.00 -0.01 -0.01 -0.00 0.00 -0.01 0.01 -0.00 -0.00 -0.00 0.00 0.02 0.03 0.04 -0.01 0.02 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.01 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.01 -0.00 0.01 0.00 0.00 -0.00 0.00 -0.01 0.01 -0.02 -0.03 -0.03 0.13 0.43 0.15 0.26 -0.09 0.40 -0.08 -0.01 -0.01 0.08 0.07 -0.01 -0.22 -0.27 0.06 -0.03 -0.04 0.01 -0.02 -0.05 0.01 0.01 0.02 -0.01 -0.08 0.05 -0.03 0.09 0.04 0.00 0.06 -0.09 0.04 -0.00 0.11 -0.04 0.08 0.03 0.00 -0.06 -0.02 -0.01 -0.05 -0.06 0.01 0.09 0.09 -0.01 -0.22 -0.27 0.05 -0.03 -0.05 0.01 -0.02 -0.06 0.02 -0.00 0.05 -0.02 -0.05 0.06 -0.03 -0.02 0.07 -0.03 0.06 -0.12 0.04 -0.11 0.34 -0.09 0.06 0.02 0.00 -0.03 -0.02 0.00 -0.05 -0.06 0.01 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.01 0.00 -0.10 -0.02 -0.04 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.01 -0.00 -0.01 0.00 -0.00 -0.00 0.00 0.01 0.00 -0.00 0.00 0.00 0.01 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.01 0.00 0.01 -0.01 -0.01 -0.01 -0.04 0.02 -0.02 -0.11 -0.15 -0.16 0.02 -0.08 0.12 0.12 0.00 -0.00 -0.13 0.06 -0.05 0.41 -0.20 -0.02 0.03 -0.02 0.10 0.14 -0.02 0.01 0.06 -0.02 -0.05 0.10 -0.06 0.03 -0.12 0.07 0.04 0.70 -0.30 -0.00 -0.00 -0.00 0.00 0.01 0.01 0.02 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.01 -0.01 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.01 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.01 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.01 -0.00 0.00 -0.01 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.01 -0.00 -0.05 -0.02 -0.02 0.00 0.18 0.07 0.18 -0.05 0.16 0.13 0.01 0.01 -0.11 -0.12 0.02 0.30 0.35 -0.08 0.00 0.06 -0.02 0.14 0.06 0.00 0.08 -0.02 0.02 -0.05 -0.03 0.00 0.15 -0.06 0.05 -0.02 0.09 -0.03 0.09 -0.20 0.08 0.03 -0.10 0.04 -0.07 0.02 -0.02 0.00 -0.20 0.06 0.10 0.09 -0.01 -0.19 -0.26 0.05 -0.01 -0.05 0.01 -0.09 -0.05 0.00 -0.11 0.01 -0.02 0.15 -0.01 0.03 -0.32 0.06 -0.08 -0.03 -0.05 0.01 -0.18 0.29 -0.10 -0.07 0.08 -0.04 -0.02 -0.02 0.00 0.04 0.03 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.01 -0.01 -0.00 -0.00 -0.00 0.01 0.00 -0.00 0.00 -0.00 -0.00 -0.01 -0.01 0.00 -0.01 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.03 -0.01 -0.12 -0.03 0.04 0.17 0.01 -0.01 0.04 -0.19 0.07 -0.04 0.12 -0.05 -0.23 -0.06 -0.01 0.21 -0.07 0.06 -0.48 0.02 -0.09 -0.13 0.07 -0.04 -0.07 0.07 -0.04 0.06 0.07 -0.01 0.10 -0.09 0.05 0.00 0.20 -0.07 -0.01 -0.06 0.02 -0.04 0.15 -0.06 0.14 -0.32 0.13 0.05 -0.08 0.03 0.12 -0.03 0.03 -0.13 0.03 -0.03 0.31 -0.03 0.06 0.03 -0.02 0.01 0.14 -0.07 0.05 -0.22 -0.04 -0.03 -0.10 0.07 -0.04 -0.05 -0.10 0.01 -0.03 0.09 -0.03 -0.00 -0.03 0.01 0.04 0.01 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.17 -0.09 0.07 0.01 -0.00 -0.01 0.01 0.01 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.15 0.05 -0.07 -0.05 0.20 0.16 -0.18 -0.23 -0.02 -0.04 0.32 0.22 0.31 0.20 -0.09 -0.51 -0.18 0.24 -0.13 -0.09 0.03 -0.15 -0.11 0.04 0.12 0.18 0.03 -0.01 -0.02 -0.01 -0.03 -0.01 0.00 -0.07 0.02 0.11 -0.00 -0.00 0.00 -0.00 0.02 0.01 0.02 -0.01 0.01 -0.01 0.00 -0.00 0.01 0.00 0.00 0.01 0.01 -0.00 -0.02 -0.01 -0.00 0.02 0.02 -0.00 0.01 0.00 0.01 -0.01 0.01 -0.01 -0.01 -0.01 -0.00 -0.01 0.01 -0.01 -0.00 -0.00 0.00 -0.00 0.01 0.01 0.01 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.01 -0.00 0.00 0.00 0.01 0.00 -0.15 -0.12 -0.02 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.01 0.00 -0.00 -0.00 0.01 0.01 -0.01 -0.01 -0.00 -0.00 0.02 0.01 0.01 0.01 -0.00 -0.02 -0.01 0.01 -0.01 -0.00 0.00 -0.01 -0.00 0.00 0.01 0.01 0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.01 -0.01 0.00 0.00 -0.01 0.00 -0.01 -0.01 -0.12 -0.01 -0.04 -0.02 0.00 0.19 0.01 0.08 -0.14 -0.07 -0.03 -0.16 -0.10 -0.03 0.31 0.19 0.06 -0.41 -0.42 0.00 -0.26 -0.05 -0.11 0.19 -0.24 0.20 0.10 0.13 -0.01 0.12 -0.27 0.17 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.01 0.00 -0.01 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.01 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.02 -0.01 -0.08 0.02 0.04 0.15 0.00 0.04 0.01 -0.16 0.05 0.07 0.13 -0.03 -0.18 -0.14 0.03 0.00 -0.07 0.03 -0.04 -0.08 0.02 -0.03 0.15 -0.05 0.05 -0.05 0.03 -0.16 -0.03 -0.02 -0.01 0.04 -0.01 -0.02 0.02 -0.01 -0.15 0.00 -0.03 0.10 -0.06 0.04 0.01 0.19 -0.06 -0.16 -0.05 -0.01 0.03 0.20 -0.06 0.28 -0.00 0.05 -0.45 0.09 -0.11 -0.22 -0.05 -0.03 0.05 0.07 -0.01 -0.10 0.10 -0.05 0.04 -0.14 0.05 -0.14 0.32 -0.10 -0.02 0.18 -0.06 -0.04 -0.17 0.05 0.13 0.12 -0.01 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.01 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 -0.01 0.00 0.04 0.01 -0.01 -0.05 0.00 0.00 -0.06 0.05 -0.03 0.08 -0.01 0.01 0.04 -0.06 0.03 -0.18 0.03 -0.04 0.31 -0.03 0.07 0.22 -0.02 0.05 -0.20 0.04 -0.05 0.33 -0.02 0.07 0.10 -0.00 0.02 0.11 0.03 0.01 -0.03 -0.19 0.06 -0.03 0.26 -0.09 0.20 -0.34 0.14 -0.08 -0.20 0.05 0.24 0.15 -0.00 -0.01 0.10 -0.03 0.11 0.09 -0.01 0.04 -0.17 0.06 -0.07 0.06 -0.03 0.19 0.03 0.03 0.03 -0.05 0.02 0.01 0.01 0.00 0.10 0.00 0.02 -0.13 -0.05 -0.01 0.10 0.17 -0.04 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.01 0.00 0.00 -0.00 0.00 -0.00 0.01 -0.00 0.00 -0.01 0.00 -0.00 0.01 -0.01 -0.00 0.00 -0.00 -0.01 0.00 -0.00 0.00 -0.00 0.00 -0.01 -0.00 -0.00 -0.00 0.01 -0.00 -0.00 -0.02 0.01 0.02 0.01 0.01 -0.01 -0.04 -0.01 -0.02 0.02 -0.03 -0.13 -0.08 0.01 0.20 0.16 -0.02 -0.21 -0.30 0.08 -0.20 -0.06 -0.01 0.20 -0.12 0.08 0.07 0.08 -0.02 0.14 -0.11 0.06 -0.20 -0.09 -0.01 -0.13 0.18 -0.08 0.03 -0.31 0.11 0.08 -0.08 0.04 -0.06 -0.00 -0.01 -0.03 -0.09 0.02 0.09 0.07 -0.01 -0.09 -0.15 0.03 -0.09 -0.03 -0.01 0.08 -0.06 0.03 -0.02 0.02 -0.01 0.17 -0.09 0.06 -0.22 -0.06 -0.02 -0.15 0.15 -0.07 0.03 -0.35 0.09 0.15 -0.01 0.03 -0.10 -0.09 0.01 -0.02 0.01 -0.01 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.01 0.01 0.02 -0.00 0.00 -0.00 -0.02 0.11 -0.06 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.02 -0.03 -0.03 -0.05 0.02 0.04 -0.00 0.03 0.02 -0.03 -0.04 -0.01 0.02 -0.01 -0.02 -0.01 -0.03 -0.01 -0.03 0.03 0.04 0.04 -0.03 -0.05 0.01 -0.03 -0.03 -0.00 0.00 0.01 0.00 -0.01 -0.00 0.01 -0.01 -0.02 -0.01 0.05 -0.03 0.01 -0.14 0.09 0.03 -0.02 0.03 0.10 -0.21 0.13 -0.05 0.28 -0.15 0.00 -0.41 0.18 0.01 -0.14 0.07 0.16 -0.04 0.09 -0.13 0.14 -0.13 0.28 0.01 0.14 0.06 -0.24 0.14 0.08 0.47 -0.18 0.00 -0.00 0.00 -0.00 -0.01 0.00 -0.00 0.00 -0.01 -0.00 -0.00 -0.00 0.01 0.00 -0.00 -0.01 -0.01 0.00 -0.01 -0.00 -0.00 0.01 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.01 -0.00 -0.00 -0.00 0.01 -0.00 0.00 -0.01 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.01 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.01 -0.00 -0.00 0.01 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.01 0.01 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.08 0.06 0.10 0.00 0.00 0.00 0.00 -0.02 0.01 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.13 -0.17 -0.20 -0.30 0.12 0.28 -0.02 0.20 0.13 -0.17 -0.27 -0.05 0.09 -0.07 -0.11 -0.07 -0.17 -0.06 -0.16 0.19 0.23 0.28 -0.20 -0.32 0.09 -0.20 -0.19 -0.04 0.04 0.04 0.01 -0.04 -0.01 0.10 -0.12 -0.10 0.00 -0.01 0.01 -0.00 0.02 -0.03 -0.02 0.01 -0.02 -0.02 0.04 -0.02 0.01 -0.05 0.03 -0.00 0.07 -0.03 -0.00 0.02 -0.01 -0.03 0.01 -0.02 0.02 -0.02 0.02 -0.05 -0.00 -0.02 -0.01 0.04 -0.02 -0.01 -0.08 0.03 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.01 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.01 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.01 0.03 -0.01 -0.02 -0.05 0.00 -0.02 -0.04 0.04 -0.02 0.02 -0.01 0.01 0.02 -0.01 0.01 -0.07 0.03 -0.02 0.09 0.01 0.01 0.12 -0.09 0.05 -0.19 0.10 -0.07 0.28 0.06 0.03 0.15 -0.17 0.08 -0.02 0.31 -0.10 -0.15 0.13 -0.07 0.07 -0.10 0.04 -0.02 0.16 -0.06 -0.04 0.03 -0.02 -0.05 0.04 -0.02 0.12 -0.04 0.04 -0.18 -0.01 -0.03 -0.17 0.11 -0.07 0.21 -0.10 0.07 -0.33 -0.04 -0.05 -0.15 0.16 -0.07 0.03 -0.31 0.08 0.11 -0.08 0.04 -0.16 0.12 -0.07 0.18 -0.14 0.08 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.01 0.00 0.04 -0.35 -0.37 -0.35 0.49 -0.18 0.04 -0.01 0.53 -0.18 0.01 -0.00 0.00 -0.04 -0.06 -0.07 0.00 0.07 -0.03 -0.04 -0.00 0.07 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.01 0.05 0.06 0.05 -0.07 0.03 -0.01 0.00 -0.09 0.03 0.04 -0.01 0.01 -0.25 -0.40 -0.41 0.03 0.51 -0.19 -0.25 -0.02 0.46 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.04 -0.05 0.03 -0.17 0.25 -0.60 0.61 0.31 0.24 0.00 0.00 0.00 -0.03 -0.00 0.00 0.02 -0.04 -0.05 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.04 -0.03 0.05 0.00 0.03 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.01 -0.01 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.02 0.02 -0.06 0.03 0.02 0.01 -0.02 -0.04 -0.05 0.46 0.01 -0.03 -0.26 0.52 0.66 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.02 -0.02 0.04 0.00 0.04 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.01 0.00 0.00 0.00 0.00 -0.00 -0.10 -0.05 -0.04 0.00 0.00 0.00 -0.03 -0.00 0.00 0.02 -0.03 -0.04 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.04 -0.03 -0.05 0.36 -0.34 0.56 0.04 0.64 0.07 0.00 0.00 0.00 0.00 -0.00 0.00 -0.01 0.01 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.03 -0.02 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.01 -0.01 -0.00 0.00 -0.00 -0.00 -0.06 -0.00 -0.07 0.17 -0.28 0.65 0.56 0.29 0.21 -0.01 0.00 0.00 0.07 0.00 -0.00 0.00 -0.01 -0.01 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.01 -0.00 -0.00 -0.00 0.00 0.01 0.12 0.01 0.00 0.00 0.00 -0.00 0.00 -0.00 0.01 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.01 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.01 0.02 -0.04 -0.05 -0.02 -0.02 -0.08 0.02 0.03 0.88 0.04 -0.05 0.12 -0.27 -0.34 -0.00 0.00 0.00 0.00 0.00 0.00 -0.01 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.01 0.01 -0.02 0.00 0.02 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.01 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.01 0.01 0.01 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.01 -0.02 0.03 -0.07 -0.04 -0.02 -0.01 0.00 -0.00 -0.00 -0.03 -0.00 0.00 -0.00 0.01 0.01 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.02 -0.09 0.03 -0.32 0.28 -0.49 0.06 0.74 0.09 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.01 -0.01 0.01 0.00 -0.00 0.00 0.00 0.01 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.02 -0.00 0.00 0.00 0.00 -0.05 -0.02 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.08 -0.03 -0.03 0.39 0.43 0.40 0.63 -0.24 0.04 -0.01 0.15 -0.06 0.00 0.01 0.01 -0.03 -0.04 -0.04 -0.00 -0.02 0.01 0.03 0.00 -0.05 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.01 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.01 -0.00 -0.00 0.03 0.04 0.03 0.07 -0.02 0.01 -0.00 0.00 -0.00 0.00 -0.04 -0.08 0.29 0.44 0.44 0.01 0.11 -0.06 -0.34 -0.03 0.61 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.03 -0.09 0.01 0.17 0.17 0.17 -0.47 0.16 -0.03 -0.00 0.74 -0.26 0.01 0.02 -0.01 -0.02 -0.04 -0.04 -0.01 -0.15 0.06 -0.05 -0.00 0.10 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.01 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.02 0.00 0.04 0.04 0.04 -0.08 0.03 -0.01 -0.00 0.16 -0.06 -0.03 -0.08 0.04 0.13 0.20 0.22 0.03 0.75 -0.28 0.21 0.00 -0.39 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.04 -0.03 0.02 -0.00 -0.00 0.00 0.01 0.03 -0.01 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.01 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.04 0.02 0.00 -0.49 -0.19 -0.03 -0.04 0.03 -0.02 0.46 -0.36 0.19 -0.01 -0.05 0.01 0.10 0.54 -0.15 -0.00 0.00 -0.00 0.00 0.01 -0.00 -0.01 -0.07 0.02 -0.00 -0.00 0.00 0.01 0.01 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.01 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.01 -0.01 0.01 -0.00 -0.02 -0.00 -0.00 -0.00 0.00 -0.05 0.04 -0.02 0.55 -0.44 0.26 -0.01 -0.04 0.01 0.09 0.46 -0.14 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.01 -0.04 0.01 -0.00 -0.00 -0.00 0.05 0.02 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.00 0.00 0.00 -0.00 0.00 -0.01 0.01 -0.00 0.00 0.00 -0.00 -0.01 -0.03 0.01 0.00 0.00 0.00 -0.01 -0.03 0.01 0.07 0.40 -0.10 0.01 0.00 -0.00 -0.09 -0.04 -0.01 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.02 -0.00 0.00 0.00 -0.00 0.02 -0.02 0.01 -0.26 0.21 -0.12 0.00 0.02 -0.01 -0.04 -0.21 0.07 0.00 -0.00 0.00 0.00 0.02 -0.01 -0.04 -0.21 0.06 -0.02 -0.01 -0.00 0.25 0.10 0.01 -0.00 0.00 -0.00 0.01 0.00 0.00 -0.06 -0.02 -0.00 -0.00 0.00 -0.00 0.05 -0.04 0.02 -0.00 -0.00 0.00 0.00 0.03 -0.01 0.00 0.00 0.00 -0.01 -0.07 0.02 0.14 0.77 -0.20 0.01 0.01 -0.00 -0.16 -0.07 -0.01 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.01 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.05 -0.04 0.02 -0.00 -0.01 0.00 0.01 0.06 -0.02 -0.00 0.00 -0.00 0.01 0.05 -0.01 -0.11 -0.58 0.17 -0.06 -0.02 -0.00 0.65 0.25 0.03 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.00 0.00 0.00 -0.00 0.00 -0.02 0.02 -0.01 0.00 0.00 -0.00 -0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.01 0.03 -0.01 -0.06 -0.32 0.08 -0.00 -0.00 0.00 0.07 0.03 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.01 0.00 -0.00 0.00 -0.00 0.00 -0.06 -0.02 -0.00 0.67 0.26 0.04 0.00 0.00 0.00 -0.02 0.01 -0.01 -0.01 -0.06 0.02 0.12 0.66 -0.18 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 0.02 -0.01 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.01 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.03 -0.00 -0.01 0.34 0.08 0.12 0.04 -0.05 0.04 -0.42 0.56 -0.44 0.01 0.03 -0.01 -0.16 -0.33 0.07 -0.01 -0.00 -0.01 0.15 0.03 0.07 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.01 -0.01 -0.00 -0.00 0.00 0.00 0.01 -0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.01 0.01 0.00 0.00 0.00 -0.01 -0.01 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.03 -0.02 0.01 -0.33 0.26 -0.15 -0.01 -0.06 0.02 0.13 0.65 -0.20 -0.00 0.00 -0.00 0.00 0.03 -0.01 -0.07 -0.39 0.11 0.03 0.01 0.00 -0.35 -0.13 -0.02 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.01 -0.01 0.00 0.00 0.00 -0.00 -0.00 -0.01 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.03 0.04 0.00 -0.33 -0.41 -0.03 -0.03 0.00 0.02 0.34 -0.00 -0.23 0.01 -0.04 -0.03 -0.10 0.51 0.38 0.02 0.02 0.00 -0.24 -0.26 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.01 0.01 -0.01 -0.00 -0.00 0.00 0.00 0.03 -0.01 0.00 0.00 -0.00 -0.00 -0.01 0.00 0.01 0.06 -0.02 -0.00 -0.00 -0.00 0.05 0.02 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.03 0.04 0.00 0.00 -0.00 -0.00 -0.03 0.00 0.02 -0.00 0.00 0.00 0.01 -0.05 -0.03 -0.00 -0.00 -0.00 0.02 0.02 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.02 -0.01 0.01 -0.22 0.17 -0.10 -0.01 -0.04 0.01 0.09 0.44 -0.14 0.00 0.00 -0.00 -0.01 -0.05 0.02 0.11 0.59 -0.17 -0.05 -0.01 -0.00 0.50 0.19 0.03 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.02 -0.01 -0.00 0.00 -0.00 0.00 -0.04 0.03 -0.02 -0.00 -0.00 0.00 0.01 0.03 -0.01 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.01 0.01 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.01 0.01 -0.01 -0.00 -0.00 0.00 0.00 0.02 -0.01 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.01 0.04 -0.01 -0.00 -0.00 -0.00 0.04 0.02 0.00 0.00 -0.00 0.00 -0.04 -0.02 -0.00 0.41 0.16 0.02 -0.05 0.04 -0.02 0.59 -0.45 0.25 0.01 0.04 -0.01 -0.08 -0.40 0.11 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.01 0.00 -0.00 -0.00 -0.00 0.01 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.04 -0.05 -0.00 0.48 0.59 0.04 0.01 0.00 -0.00 -0.11 -0.00 0.08 0.01 -0.04 -0.03 -0.08 0.41 0.30 0.02 0.02 0.00 -0.24 -0.27 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.01 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.03 0.01 0.01 -0.36 -0.09 -0.12 -0.01 0.01 -0.01 0.11 -0.14 0.11 0.02 0.04 -0.01 -0.24 -0.47 0.09 -0.06 -0.01 -0.02 0.64 0.13 0.29 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.01 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.01 -0.01 -0.00 0.12 0.15 0.01 -0.02 0.00 0.02 0.28 -0.01 -0.19 0.01 -0.03 -0.02 -0.06 0.31 0.24 -0.05 -0.05 0.00 0.56 0.61 -0.01 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.01 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.01 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.01 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.07 -0.02 -0.02 0.74 0.19 0.25 -0.02 0.03 -0.02 0.19 -0.26 0.21 -0.00 -0.01 0.00 0.05 0.11 -0.02 -0.03 -0.01 -0.02 0.38 0.08 0.17 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.01 -0.00 -0.00 -0.00 -0.00 0.03 0.01 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.01 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.02 -0.01 -0.01 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.01 -0.02 0.00 0.00 0.00 0.00 -0.01 -0.00 -0.01 -0.00 -0.00 -0.00 -0.00 0.00 -0.01 0.00 0.06 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.01 -0.01 0.00 0.00 0.00 -0.00 -0.00 -0.01 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.01 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.01 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.02 0.01 0.04 0.21 -0.05 -0.08 -0.03 -0.01 0.89 0.37 0.06 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.01 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.02 0.01 0.01 -0.21 -0.06 -0.07 0.02 -0.02 0.02 -0.17 0.22 -0.18 -0.03 -0.06 0.01 0.33 0.65 -0.13 -0.04 -0.01 -0.02 0.47 0.09 0.22 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.02 0.01 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 -0.02 -0.02 -0.00 0.19 0.24 0.02 -0.06 0.00 0.04 0.68 -0.01 -0.47 -0.00 0.03 0.02 0.06 -0.31 -0.23 0.01 0.01 -0.00 -0.15 -0.16 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.01 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00</array>
<array dataType="xsd:integer" dictRef="cc:atomicNumber" size="67">44 17 16 8 7 7 7 6 1 1 1 6 1 1 1 6 1 6 1 6 1 6 1 6 6 1 1 6 1 1 6 6 1 6 1 6 1 6 1 6 1 1 6 6 1 6 1 6 6 1 6 1 6 6 1 6 1 6 1 6 6 1 6 1 6 6 6</array>
</module>
</module>
<table id="l716.forcematrix"/>
</property>
<property dictRef="cc:thermochemistry">
<list id="l716.thermochemistry">
<scalar dataType="xsd:double" dictRef="cc:temp" units="si:k">298.150</scalar>
<scalar dataType="xsd:double" dictRef="cc:press" units="nonsi:atm">1.00000</scalar>
<list cmlx:templateRef="mass">
<array dataType="xsd:integer" dictRef="cc:serial" size="67">1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67</array>
<array dataType="xsd:integer" dictRef="x:elementType" size="67">44 17 16 8 7 7 7 6 1 1 1 6 1 1 1 6 1 6 1 6 1 6 1 6 6 1 1 6 1 1 6 6 1 6 1 6 1 6 1 6 1 1 6 6 1 6 1 6 6 1 6 1 6 6 1 6 1 6 1 6 6 1 6 1 6 6 6</array>
<array dataType="xsd:double" dictRef="cc:atomicmass" size="67">101.90370 34.96885 31.97207 15.99491 14.00307 14.00307 14.00307 12.00000 1.00783 1.00783 1.00783 12.00000 1.00783 1.00783 1.00783 12.00000 1.00783 12.00000 1.00783 12.00000 1.00783 12.00000 1.00783 12.00000 12.00000 1.00783 1.00783 12.00000 1.00783 1.00783 12.00000 12.00000 1.00783 12.00000 1.00783 12.00000 1.00783 12.00000 1.00783 12.00000 1.00783 1.00783 12.00000 12.00000 1.00783 12.00000 1.00783 12.00000 12.00000 1.00783 12.00000 1.00783 12.00000 12.00000 1.00783 12.00000 1.00783 12.00000 1.00783 12.00000 12.00000 1.00783 12.00000 1.00783 12.00000 12.00000 12.00000</array>
</list>
<scalar cmlx:templateRef="molmass" dataType="xsd:double" dictRef="cc:molmass">628.07569</scalar>
<matrix cols="3" dataType="xsd:double" dictRef="cc:moi.eigenvectors" rows="3">1.0 0.00183 0.0016 -0.00184 0.99996 0.00897 -0.00159 -0.00897 0.99996</matrix>
<scalar dataType="xsd:string" dictRef="g:top">asymmetric</scalar>
<scalar dataType="xsd:integer" dictRef="cc:symmnumber">1</scalar>
<array cmlx:templateRef="rottemp" dataType="xsd:double" dictRef="cc:rottemp" size="3">0.00695 0.00256 0.00234</array>
<array cmlx:templateRef="rotconst" dataType="xsd:double" dictRef="cc:rotconst" size="3">0.14475 0.05336 0.04878</array>
<scalar dataType="xsd:double" dictRef="cc:zpe" units="u:jmol-1">1408394.8</scalar>
<array dataType="xsd:double" dictRef="cc:vibtemp" size="194">62.37 67.99 93.07 99.84 117.37 127.70 135.38 155.08 175.77 179.80 187.60 202.70 216.25 219.43 232.21 241.09 283.25 291.47 317.09 330.78 345.62 359.45 379.39 401.58 425.88 435.82 439.85 445.82 460.92 476.87 495.20 504.38 515.64 532.98 555.55 587.40 599.83 625.30 636.76 670.57 672.82 681.61 697.59 721.88 724.99 750.87 760.65 771.36 776.86 787.46 793.94 830.75 849.22 864.11 914.86 916.65 950.55 966.71 972.57 973.82 991.54 1011.27 1042.09 1071.60 1096.47 1116.43 1119.02 1145.48 1184.24 1188.21 1193.34 1202.63 1215.06 1231.77 1248.46 1260.05 1288.23 1309.19 1315.11 1324.43 1364.02 1366.99 1374.75 1383.23 1406.25 1412.52 1417.78 1421.19 1437.71 1467.40 1480.33 1484.64 1489.19 1495.31 1497.36 1502.47 1503.39 1508.35 1531.62 1534.58 1534.78 1535.40 1540.76 1549.06 1563.75 1574.80 1590.91 1613.59 1631.34 1635.34 1636.06 1657.12 1685.10 1688.58 1713.93 1728.85 1735.79 1773.82 1778.26 1781.18 1802.14 1803.74 1806.90 1830.56 1838.86 1848.23 1858.19 1886.41 1898.89 1927.25 1930.86 1942.08 1950.17 1959.05 1966.84 2005.81 2023.21 2032.37 2058.21 2064.89 2069.41 2084.01 2087.80 2091.72 2105.11 2112.32 2118.72 2135.02 2136.53 2146.51 2156.20 2171.81 2178.58 2186.88 2196.10 2228.04 2269.16 2304.60 2310.10 2336.24 2347.81 2359.26 2372.29 2375.84 2404.41 4301.59 4305.14 4324.95 4343.49 4365.90 4401.59 4418.37 4435.94 4458.98 4460.74 4472.40 4478.72 4483.48 4485.06 4485.53 4485.76 4494.25 4507.25 4508.05 4508.90 4509.05 4514.38 4515.30 4523.67 4529.93 4530.86 4536.84 4541.33 4542.90</array>
</list>
</property>
<property dictRef="cc:zeropoint">
<list id="l716.zeropoint">
<scalar dataType="xsd:string" dictRef="cc:zpe.correction" units="nonsi:hartree">0.536429</scalar>
<scalar dataType="xsd:string" dictRef="cc:zpe.thermalcorrener" units="nonsi:hartree">0.567024</scalar>
<scalar dataType="xsd:string" dictRef="cc:zpe.thermalcorrenthalpy" units="nonsi:hartree">0.567968</scalar>
<scalar dataType="xsd:string" dictRef="cc:zpe.thermalcorrgfe" units="nonsi:hartree">0.478121</scalar>
<scalar dataType="xsd:string" dictRef="cc:zpe.sumelectzpe" units="nonsi:hartree">-2391.103055</scalar>
<scalar dataType="xsd:string" dictRef="cc:zpe.sumelectthermal" units="nonsi:hartree">-2391.072460</scalar>
<scalar dataType="xsd:string" dictRef="cc:zpe.sumelectthermalent" units="nonsi:hartree">-2391.071516</scalar>
<scalar dataType="xsd:string" dictRef="cc:zpe.sumelectthermalfe" units="nonsi:hartree">-2391.161364</scalar>
</list>
</property>
<property>
<module cmlx:templateRef="l716.thermoprops">
<list cmlx:templateRef="total">
<scalar dataType="xsd:double" dictRef="cc:ethermo.total">355.813</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.total">127.102</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.total">189.101</scalar>
</list>
<list cmlx:templateRef="elect">
<scalar dataType="xsd:double" dictRef="cc:ethermo.elect">0.000</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.elect">0.000</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.elect">0.000</scalar>
</list>
<list cmlx:templateRef="trans">
<scalar dataType="xsd:double" dictRef="cc:ethermo.trans">0.889</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.trans">2.981</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.trans">45.195</scalar>
</list>
<list cmlx:templateRef="rot">
<scalar dataType="xsd:double" dictRef="cc:ethermo.rot">0.889</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.rot">2.981</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.rot">37.987</scalar>
</list>
<list cmlx:templateRef="vib">
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">354.036</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">121.140</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">105.918</scalar>
</list>
<list cmlx:templateRef="vibn">
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">1</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.595</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.980</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">5.100</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">2</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.595</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.979</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">4.929</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">3</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.597</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.971</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">4.309</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">4</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.598</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.969</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">4.171</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">5</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.600</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.962</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">3.853</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">6</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.602</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.957</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">3.687</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">7</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.603</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.953</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">3.573</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">8</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.606</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.943</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">3.308</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">9</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.610</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.931</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">3.066</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">10</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.610</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.928</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">3.022</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">11</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.612</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.923</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">2.940</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">12</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.615</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.912</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">2.792</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">13</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.618</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.902</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">2.668</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">14</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.619</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.900</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">2.641</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">15</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.622</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.890</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">2.533</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">16</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.624</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.882</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">2.463</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">17</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.636</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.844</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">2.162</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">18</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.639</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.836</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">2.110</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">19</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.647</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.810</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.956</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">20</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.652</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.795</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.880</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">21</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.657</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.779</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.801</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">22</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.663</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.763</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.732</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">23</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.670</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.739</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.637</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">24</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.679</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.712</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.539</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">25</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.690</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.681</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.439</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">26</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.694</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.668</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.401</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">27</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.696</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.663</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.385</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">28</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.699</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.655</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.363</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">29</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.706</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.635</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.308</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">30</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.714</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.613</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.253</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">31</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.723</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.587</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.193</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">32</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.727</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.574</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.164</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">33</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.733</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.558</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.129</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">34</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.742</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.533</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.078</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">35</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.755</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.500</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">1.015</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">36</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.773</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.452</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.933</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">37</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.780</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.434</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.903</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">38</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.795</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.395</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.844</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">39</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.802</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.377</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.819</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">40</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.823</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.325</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.749</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">41</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.825</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.322</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.744</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">42</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.831</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.308</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.727</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">43</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.841</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.284</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.697</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">44</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.857</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.246</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.654</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">45</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.859</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.241</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.648</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">46</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.877</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.202</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.606</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">47</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.884</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.187</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.590</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">48</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.891</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.170</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.574</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">49</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.895</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.162</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.565</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">50</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.903</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.146</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.550</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">51</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.907</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.136</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.540</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">52</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.934</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.080</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.490</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">53</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.948</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.053</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.467</scalar>
</list>
<list>
<scalar dataType="xsd:integer" dictRef="g:nvib">54</scalar>
<scalar dataType="xsd:double" dictRef="cc:ethermo.vib">0.959</scalar>
<scalar dataType="xsd:double" dictRef="cc:cv.vib">1.031</scalar>
<scalar dataType="xsd:double" dictRef="cc:s.vob">0.449</scalar>
</list>
</list>
<list cmlx:templateRef="totalv0">
<scalar dataType="xsd:double" dictRef="cc:q.v0">0.660834e+27</scalar>
<scalar dataType="xsd:double" dictRef="cc:logq.v0">26.820092</scalar>
<scalar dataType="xsd:double" dictRef="cc:lnq.v0">61.755545</scalar>
</list>
<list cmlx:templateRef="vibv0">
<scalar dataType="xsd:double" dictRef="cc:q.vibv0">0.238872e+11</scalar>
<scalar dataType="xsd:double" dictRef="cc:logq.vibv0">10.378165</scalar>
<scalar dataType="xsd:double" dictRef="cc:lnq.vibv0">23.896608</scalar>
</list>
<list cmlx:templateRef="elect">
<scalar dataType="xsd:double" dictRef="cc:q.elect">0.100000e+01</scalar>
<scalar dataType="xsd:double" dictRef="cc:logq.elect">0.000000</scalar>
<scalar dataType="xsd:double" dictRef="cc:lnq.elect">0.000000</scalar>
</list>
<list cmlx:templateRef="trans">
<scalar dataType="xsd:double" dictRef="cc:q.trans">0.618688e+09</scalar>
<scalar dataType="xsd:double" dictRef="cc:logq.trans">8.791472</scalar>
<scalar dataType="xsd:double" dictRef="cc:lnq.trans">20.243112</scalar>
</list>
<list cmlx:templateRef="rot">
<scalar dataType="xsd:double" dictRef="cc:q.rot">0.447152e+08</scalar>
<scalar dataType="xsd:double" dictRef="cc:logq.rot">7.650456</scalar>
<scalar dataType="xsd:double" dictRef="cc:lnq.rot">17.615825</scalar>
</list>
</module>
</property>
<property dictRef="cc:forces">
<scalar dictRef="cc:linkToAtoms">./ancestor::cml:module[@dictRef='cc:finalization']/cml:molecule[@id='mol9999']</scalar>
</property>
<property dictRef="cc:multipole">
<list cmlx:templateRef="multipole">
<array dataType="xsd:double" dictRef="cc:dipole" size="3">-3.9914 1.1034 6.8556</array>
<scalar dataType="xsd:double" dictRef="x:dipole">8.0093</scalar>
<array dataType="xsd:double" dictRef="cc:quadrupole" size="3">-182.4820 -209.0303 -218.4360</array>
<array dataType="xsd:double" dictRef="cc:quadrupole" size="3">-1.2772 -6.2967 8.2825</array>
<array dataType="xsd:double" dictRef="cc:quadrupole" size="6">20.8341 -5.7142 -15.1199 -1.2772 -6.2967 8.2825</array>
<array dataType="xsd:double" dictRef="cc:octapole" size="10">-157.0612 70.5736 -5.5131 12.8358 3.1224 63.5614 -181.2039 -23.6362 111.9920 -120.9640</array>
<array dataType="xsd:double" dictRef="cc:hexadecapole" size="15">-16929.5363 -5333.9930 -3452.3844 152.7387 258.9799 -222.7902 -67.3345 142.0359 241.4860 -4143.2978 -3831.5059 -1253.0405 124.6976 -254.5652 2.7264</array>
</list>
</property>
<property dictRef="cc:virtualorbs">
<array dataType="xsd:string" delimiter="|" size="1236">(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)</array>
</property>
<property dictRef="cc:occupiedorbs">
<array dataType="xsd:string" delimiter="|" size="146">(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)|(A)</array>
</property>
</propertyList>
<module dictRef="cc:userDefinedModule" id="otherComponents">
<module cmlx:templateRef="l9999.archive" dictRef="cc:userDefinedModule">
<scalar dataType="xsd:string" dictRef="g:zmat">0</scalar>
<scalar dataType="xsd:string" dictRef="cc:electronicstate">1-A</scalar>
<scalar dataType="xsd:double" dictRef="cc:hfenergy" units="nonsi:hartree">-2391.6394845</scalar>
<scalar dataType="xsd:double" dictRef="cc:rmsd" units="nonsi:unknown">2.731E-9</scalar>
<scalar dataType="xsd:double" dictRef="cc:rmsf" units="nonsi:unknown">0.004272</scalar>
<scalar dataType="xsd:string" dictRef="x:ZeroPoint">0.5364292</scalar>
<scalar dataType="xsd:string" dictRef="x:Thermal">0.5670242</scalar>
<scalar dataType="xsd:string" dictRef="x:Quadrupole">15.4896353,-4.2483672,-11.2412681,-0.9495449,-4.6814729,6.1578166</scalar>
<scalar dataType="xsd:string" dictRef="cc:pointgroup">C01 [X(C31H29Cl1N3O1Ru1S1)]</scalar>
<array dataType="xsd:double" dictRef="cc:dipole" size="3" units="nonsi:debye">-1.5703389 0.4341191 2.6972093</array>
<array dataType="xsd:double" dictRef="cc:dipolederiv" size="603" units="nonsi:unknown">1.6119767 -0.1774439 -0.0715085 -0.0056121 0.4788104 -0.4576592 -0.1467012 -0.4668265 0.9801486 -0.7655258 0.0985109 -0.2289884 0.1990705 -0.9645621 0.4840039 -0.2294271 0.3449818 -1.0447354 0.6952295 0.2560922 0.3372752 0.1234833 2.0938221 -0.3706149 0.4817539 -0.2393369 1.1821171 -0.7909902 -0.2106244 -0.1320947 -0.129656 -1.8350383 0.2461676 -0.2473335 0.1034458 -1.0186176 -0.6107823 0.1250374 0.2419813 -0.3747756 0.1792782 0.3251494 -0.0440064 0.2397908 -0.0539097 -1.0296673 -0.0896628 0.0384888 0.0174534 -0.5382575 -0.1656642 0.4865748 0.0472127 -0.5690378 -0.1365427 -0.1616796 -0.0025249 0.0462886 -0.1057947 0.1456946 -0.0185028 -0.0432836 -0.1230049 -0.1417589 -0.0915491 -0.1865022 0.0216366 -0.2567067 -0.0737223 0.0359966 0.0220033 -0.2259581 0.0668423 -0.0444498 0.0288364 -0.0635397 0.0786127 -0.0531411 0.0031215 -0.0735717 -0.051479 0.0167288 0.0378727 -0.0114884 0.0425793 0.1256586 0.0020597 0.014984 0.0116246 0.0597619 0.1226729 0.0035988 0.0336293 0.0207683 0.0889935 0.0501094 0.0377582 0.0495836 0.0853695 -0.1525577 0.0403174 0.025784 -0.153702 -0.2516557 -0.0255267 -0.18346 0.0091624 -0.2185239 -0.0457691 -0.0151154 -0.0794859 0.017186 0.0589748 -0.0582658 -0.0543078 -0.0607129 0.0799973 0.0878811 0.0434702 0.0155752 0.0384661 0.0852195 0.0549089 0.0063332 0.0376579 0.1239587 0.0494171 0.0252859 0.0357805 0.0110668 0.13227 0.0002543 0.0143588 0.0138456 0.0185992 0.0403936 -0.0062473 -0.0210182 0.3141954 0.1701976 -0.0804977 0.1864282 0.077928 -0.0462921 0.1079589 -0.0478303 0.0067733 -0.0437972 0.047106 -0.0440292 0.005073 -0.0387963 0.1389389 -0.1020229 -0.0212785 -0.0589235 -0.2717835 -0.3400324 0.035401 -0.1826924 -0.1169997 -0.0846158 0.0381291 -0.0079566 0.0931698 -0.0102983 0.1252007 -0.0268302 0.092909 -0.0260388 0.10948 0.2575209 0.0807821 -0.1572038 0.1509425 0.0918144 0.043412 -0.1412286 0.0480132 0.0344472 0.1383043 0.0143794 0.0278085 0.0154402 0.0388241 -0.0902511 0.0325708 -0.0904346 0.0966756 -0.3127666 0.1334838 0.1262922 0.3416273 -0.047047 -0.1648459 0.2921546 -0.0286698 -0.3200135 0.069301 -0.082437 0.0285051 -0.0753839 0.0673845 -0.0221028 0.026106 -0.0122571 0.1548795 0.3323208 -0.0553158 -0.1588886 -0.2615324 0.0630428 0.1229339 -0.4073791 0.0448805 0.3808864 0.2349447 -0.1060436 0.0107948 -0.1384948 0.5314205 0.1060286 0.1790916 0.0349667 -0.0418135 0.0954209 0.0843707 0.0428612 0.0856269 0.0910315 -0.0470264 0.0660018 0.054493 0.0141315 -0.0623451 -0.0619783 -0.0134074 -0.0324084 -0.0087158 -0.0535658 -0.0957864 -0.0603485 0.086784 0.1758593 -0.0162274 0.065733 -0.0389834 0.0492739 -0.1412895 0.127059 -0.2823422 0.3362491 -0.0076836 -0.0104902 -0.0694533 0.0151252 0.0579965 0.0504558 -0.1301331 0.0600684 0.1027316 0.1151936 0.0234806 0.0610493 -0.0539953 -0.0513906 -0.0152749 0.095852 0.0495143 0.0046962 0.0539488 -0.1060084 0.0492713 0.3051327 0.597617 -0.0549379 -0.1323136 -0.089999 0.038565 0.0554044 0.1260358 0.028193 -0.2109579 -0.5578159 0.0663099 0.1925017 0.239133 -0.1846658 0.00759 -0.0374561 -0.0602649 -0.0513727 0.1068214 0.0092305 -0.0564583 0.0127169 0.1576486 0.2739821 0.1855015 0.0910454 0.1815891 0.2079101 -0.0530982 0.103693 -0.0490391 -0.0211873 0.0985679 0.0553311 -0.0609895 0.0500891 0.0634438 0.0714559 -0.0552431 0.0799103 0.1090369 -0.4319996 -0.0340557 -0.1181146 0.2390332 0.0136187 0.0372817 -0.2360516 -0.1297961 -0.2208435 0.1003155 -0.0667441 -0.0080395 -0.0669562 0.0037992 0.0496716 -0.017786 0.0428178 0.1576802 0.1692777 0.1214918 0.0321463 -0.2381422 0.0153901 -0.0846765 0.2465031 0.1191341 0.0629664 0.1056036 0.0009942 0.0408527 0.0335381 0.1333019 0.0413395 -0.0091543 0.0184368 0.2499697 0.8096992 -0.0297377 -0.0987178 0.1085134 0.1274071 0.1383095 -0.5164026 0.0524096 0.4688276 -0.0553511 0.0399889 -0.0521239 0.0505685 0.0692275 0.0742903 0.0236899 0.0318762 0.0260462 -0.0253194 -0.0043651 0.0464776 -0.124039 -0.0674576 -0.0391385 0.0911243 0.0070028 0.08785 -0.172963 0.1527052 -0.0533094 -0.055708 -0.0681051 -0.067467 0.0020918 -0.0239666 -0.2089128 0.0782798 -0.1001219 0.1131519 0.0262033 -0.0305327 -0.0505593 0.0526074 -0.071126 -0.129674 -0.0183508 0.106627 -0.0797695 0.1041998 0.056471 0.0514629 -0.0802578 0.0636776 0.1445982 -0.3454312 0.1590186 -0.0697782 0.1795118 -0.0205476 -0.0360678 -0.0848637 -0.0419097 -0.1807259 0.0929707 -0.0600464 0.0098982 -0.0345532 -0.0659507 0.0860976 -0.0192156 0.0869167 0.1542059 0.4240266 -0.077907 0.1030088 -0.0112462 -0.137904 0.0603279 0.0831206 0.0404695 0.0133735 -0.0342377 0.092584 -0.0020799 0.1804085 0.0018066 -0.0467751 -0.0245875 -0.0545719 -0.1828419 0.0791078 -0.0295866 -0.0074803 -0.0725529 -0.0707843 0.0736056 0.0043308 0.0792126 0.1609922 0.0162236 0.1018264 0.0117042 -0.078639 0.168889 -0.120159 0.058663 -0.0921758 -0.1494737 -0.0713641 -0.0986937 -0.0120032 -0.0605454 0.0701249 0.0265172 -0.0261702 0.0204604 0.1745732 -0.2197805 -0.071192 -0.0109049 -0.0565901 0.1650717 -0.0635775 -0.0241762 -0.0663945 0.021375 -0.0419142 0.1672394 -0.0205548 0.1006931 -0.0629734 -0.0238283 -0.0034098 -0.0052117 -0.1793976 -0.0817068 -0.0557972 -0.0289096 -0.1003976 0.0867999 0.0149713 -0.0159771 0.022571 0.1797048 0.0443026 -0.1009768 0.0760397 -0.109798 -0.0189949 -0.0714579 0.0776881 -0.0740554 -0.1589613 -0.0273923 0.1114428 -0.0717383 0.1160648 0.0375317 0.0670756 -0.0747121 0.0654735 0.1536107 -0.1109295 0.0901975 -0.0150448 0.153166 -0.0032428 -0.025918 -0.0340696 -0.0342884 -0.1783898 0.1040982 -0.0618435 0.0040041 -0.0179044 -0.078236 0.0798233 -0.0119786 0.0706977 0.1645924 0.1445052 -0.0034399 0.0333192 -0.0143129 -0.1969217 0.0490432 0.04019 0.0516359 -0.002622 0.2960991 -0.0096394 0.0805112 0.1399745 0.0552584 -0.0407499 0.0371432 -0.0551638 -0.1581379 0.0858582 -0.0357309 -0.0083508 -0.0689776 -0.0739358 0.0641928 -0.0053474 0.0665225 0.1605628 -0.1703063 0.151148 -0.0459273 0.1397945 -0.0008804 -0.0685787 0.0287161 -0.0404789 -0.1939831 -0.0757458 -0.1026182 -0.0210948 -0.0541177 0.0799856 0.0418474 -0.0294797 0.0066176 0.1847811 -0.2464728 -0.0725801 0.0119968 -0.2547026 0.2785147 -0.0553236 0.0516845 -0.0530818 0.0304327 0.0188065 -0.1581148 0.0525398 -0.1423644 -0.0874081 0.0056098 0.0540443 -0.0061519 0.027153 -0.0270861 -0.105829 0.0321856 -0.091596 -0.0530311 0.0175783 0.0066945 0.0001643 0.0294194</array>
<array dataType="xsd:double" delimiter="|" dictRef="cc:polarizability" size="6" units="nonsi:unknown">851.6340788|-55.2013983|788.3325739|63.6584166|-82.8915988|529.5288436</array>
</module>
</module>
<molecule formalCharge="1" id="mol9999" spinMultiplicity="1">
<atomArray>
<atom elementType="Ru" id="a1" x3="-2.430326" y3="-0.001463" z3="-0.171944">
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.0" size="3">0.005976052 0.000199338 0.007269113</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.1" size="3">-0.001587005 0.003872124 -0.002622095</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.2" size="3">-0.004592923 -0.011531815 -0.006959320</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.3" size="3">-0.001746084 0.017606345 -0.011230532</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.4" size="3">-0.000779119 0.008334436 0.004942234</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.5" size="3">-0.000652652 -0.000276033 -0.002207569</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.6" size="3">0.004768576 -0.003696418 0.004836539</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.7" size="3">-0.002454650 -0.004171710 0.006891533</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.8" size="3">0.002774341 0.004630561 0.002288188</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.9" size="3">-0.004668737 0.002856346 -0.000459836</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.10" size="3">-0.000596120 -0.006492300 0.002031201</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.11" size="3">0.005432932 -0.005936545 0.002803831</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.12" size="3">0.002163528 0.004809788 0.002649837</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.13" size="3">-0.000115409 -0.006814927 0.001530093</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.14" size="3">0.002479419 0.001193701 -0.004585235</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.15" size="3">0.003699494 0.003447874 0.000142486</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.16" size="3">0.004141034 0.004906702 0.000315089</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.17" size="3">0.003389146 -0.000294578 -0.002327250</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.18" size="3">0.005456139 -0.000264224 -0.003813189</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.19" size="3">0.001141703 -0.004923322 -0.003846105</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.20" size="3">0.001096828 -0.005213637 -0.003875546</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.21" size="3">-0.002387232 -0.002231267 -0.000193891</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.22" size="3">-0.004113963 -0.005022622 -0.000060436</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.23" size="3">-0.008028959 -0.002198698 0.004627268</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.24" size="3">0.002470043 -0.000973883 -0.001779748</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.25" size="3">0.002637890 -0.001556789 0.005666208</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.26" size="3">-0.005855104 -0.002397130 -0.000672481</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.27" size="3">-0.000048156 0.002650388 -0.000629188</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.28" size="3">-0.006476870 -0.000641138 0.001687681</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.29" size="3">0.002298177 -0.004174373 -0.004065575</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.30" size="3">-0.006348621 -0.005665808 0.000582392</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.31" size="3">-0.003974067 -0.001927388 -0.001121645</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.32" size="3">-0.006046209 -0.001156678 -0.001641778</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.33" size="3">-0.002125092 0.004879301 -0.003211045</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.34" size="3">-0.003279996 0.004423369 -0.003611382</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.35" size="3">0.000592553 0.003548432 -0.001358651</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.36" size="3">0.002951226 0.005709147 -0.000960805</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.37" size="3">0.007920311 0.000857861 0.002217806</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.38" size="3">0.005919120 0.002596795 0.005765177</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.39" size="3">-0.006944777 -0.001875141 0.002640469</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.40" size="3">0.004655519 -0.001889455 0.003844749</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.41" size="3">0.000560468 0.006122530 0.000321867</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.42" size="3">0.008415218 0.002577482 0.000008176</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.43" size="3">0.003011653 -0.003923113 0.000822479</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.44" size="3">0.004009679 -0.003800099 0.002985449</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.45" size="3">0.001125762 -0.004292210 0.001128241</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.46" size="3">-0.001093441 -0.005422404 0.001951954</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.47" size="3">-0.007564479 -0.003857762 -0.000027705</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.48" size="3">0.008933616 -0.004535757 0.002949749</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.49" size="3">-0.000983395 -0.005526667 0.001723942</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.50" size="3">-0.005532221 0.007778815 -0.003589771</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.51" size="3">-0.005507445 -0.002027740 -0.000267612</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.52" size="3">-0.002294851 -0.006830920 0.001824131</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.53" size="3">-0.003110899 -0.000446467 -0.000467366</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.54" size="3">-0.005498410 -0.002065680 -0.000282903</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.55" size="3">-0.003015159 0.002602321 -0.001404866</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.56" size="3">-0.004631118 0.003603089 -0.001906707</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.57" size="3">-0.000279002 0.003423222 -0.001255375</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.58" size="3">0.000842818 0.005761939 -0.001547404</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.59" size="3">0.006093147 0.003938337 -0.000140892</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.60" size="3">-0.009951466 0.004119315 -0.003645860</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.61" size="3">0.000796910 0.005962635 -0.001265307</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.62" size="3">0.007645386 -0.008515232 0.002905879</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.63" size="3">0.006137979 0.001745212 0.000602817</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.64" size="3">0.002503313 0.007746477 -0.002546340</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.65" size="3">-0.003947303 0.003794379 -0.002101936</array>
</property>
<property dictRef="cc:force">
<array dataType="xsd:double" id="a1.66" size="3">0.004190955 -0.003128330 0.001726767</array>
</property>
</atom>
<atom elementType="Cl" id="a2" x3="-3.147052" y3="1.553678" z3="-1.87563"/>
<atom elementType="S" id="a3" x3="-3.672296" y3="-1.746905" z3="-1.60892"/>
<atom elementType="O" id="a4" x3="-3.746866" y3="-3.177658" z3="-1.148802"/>
<atom elementType="N" id="a5" x3="-2.746154" y3="1.44747" z3="1.190947"/>
<atom elementType="N" id="a6" x3="-0.514464" y3="0.804787" z3="0.070026"/>
<atom elementType="N" id="a7" x3="-1.646359" y3="-1.433952" z3="1.130813"/>
<atom elementType="C" id="a8" x3="-2.985424" y3="-1.706044" z3="-3.2868"/>
<atom elementType="H" id="a9" x3="-3.599021" y3="-2.371431" z3="-3.910001"/>
<atom elementType="H" id="a10" x3="-1.960598" y3="-2.092206" z3="-3.213162"/>
<atom elementType="H" id="a11" x3="-2.992401" y3="-0.665382" z3="-3.637623"/>
<atom elementType="C" id="a12" x3="-5.355356" y3="-1.158035" z3="-1.938605"/>
<atom elementType="H" id="a13" x3="-5.81073" y3="-1.858583" z3="-2.652368"/>
<atom elementType="H" id="a14" x3="-5.2995" y3="-0.129973" z3="-2.320427"/>
<atom elementType="H" id="a15" x3="-5.886902" y3="-1.194182" z3="-0.978997"/>
<atom elementType="C" id="a16" x3="-3.833208" y3="1.506037" z3="1.980823"/>
<atom elementType="H" id="a17" x3="-4.516254" y3="0.656429" z3="1.920709"/>
<atom elementType="C" id="a18" x3="-4.074094" y3="2.591717" z3="2.816389"/>
<atom elementType="H" id="a19" x3="-4.970076" y3="2.602934" z3="3.438162"/>
<atom elementType="C" id="a20" x3="-3.158622" y3="3.646065" z3="2.837898"/>
<atom elementType="H" id="a21" x3="-3.321537" y3="4.511013" z3="3.483602"/>
<atom elementType="C" id="a22" x3="-2.027498" y3="3.576209" z3="2.02143"/>
<atom elementType="H" id="a23" x3="-1.287429" y3="4.378031" z3="2.012484"/>
<atom elementType="C" id="a24" x3="-1.848951" y3="2.467228" z3="1.200883"/>
<atom elementType="C" id="a25" x3="-0.70505" y3="2.275974" z3="0.248619"/>
<atom elementType="H" id="a26" x3="-0.982082" y3="2.691318" z3="-0.730691"/>
<atom elementType="H" id="a27" x3="0.21838" y3="2.76159" z3="0.598233"/>
<atom elementType="C" id="a28" x3="0.085692" y3="0.238657" z3="1.320927"/>
<atom elementType="H" id="a29" x3="1.181427" y3="0.287746" z3="1.275288"/>
<atom elementType="H" id="a30" x3="-0.229705" y3="0.877681" z3="2.158732"/>
<atom elementType="C" id="a31" x3="-0.404138" y3="-1.151257" z3="1.599007"/>
<atom elementType="C" id="a32" x3="0.328987" y3="-2.071856" z3="2.341103"/>
<atom elementType="H" id="a33" x3="1.335622" y3="-1.814942" z3="2.673997"/>
<atom elementType="C" id="a34" x3="-0.238956" y3="-3.313721" z3="2.637117"/>
<atom elementType="H" id="a35" x3="0.315209" y3="-4.050572" z3="3.22195"/>
<atom elementType="C" id="a36" x3="-1.518789" y3="-3.595897" z3="2.160636"/>
<atom elementType="H" id="a37" x3="-2.000106" y3="-4.555801" z3="2.352243"/>
<atom elementType="C" id="a38" x3="-2.189267" y3="-2.638629" z3="1.403048"/>
<atom elementType="H" id="a39" x3="-3.158458" y3="-2.852546" z3="0.949765"/>
<atom elementType="C" id="a40" x3="0.287418" y3="0.477493" z3="-1.170099"/>
<atom elementType="H" id="a41" x3="-0.256984" y3="0.954985" z3="-1.99445"/>
<atom elementType="H" id="a42" x3="0.193833" y3="-0.607615" z3="-1.304422"/>
<atom elementType="C" id="a43" x3="1.725382" y3="0.92408" z3="-1.136973"/>
<atom elementType="C" id="a44" x3="2.029172" y3="2.234638" z3="-1.536776"/>
<atom elementType="H" id="a45" x3="1.228134" y3="2.874762" z3="-1.914238"/>
<atom elementType="C" id="a46" x3="3.325433" y3="2.733691" z3="-1.483346"/>
<atom elementType="H" id="a47" x3="3.532458" y3="3.75661" z3="-1.805178"/>
<atom elementType="C" id="a48" x3="4.383029" y3="1.928865" z3="-1.026108"/>
<atom elementType="C" id="a49" x3="5.730999" y3="2.420528" z3="-0.947648"/>
<atom elementType="H" id="a50" x3="5.924835" y3="3.452018" z3="-1.250337"/>
<atom elementType="C" id="a51" x3="6.747587" y3="1.625101" z3="-0.509425"/>
<atom elementType="H" id="a52" x3="7.76798" y3="2.011596" z3="-0.454849"/>
<atom elementType="C" id="a53" x3="6.509867" y3="0.264502" z3="-0.113166"/>
<atom elementType="C" id="a54" x3="7.545285" y3="-0.572331" z3="0.338884"/>
<atom elementType="H" id="a55" x3="8.56176" y3="-0.175625" z3="0.392948"/>
<atom elementType="C" id="a56" x3="7.289252" y3="-1.892175" z3="0.712392"/>
<atom elementType="H" id="a57" x3="8.108211" y3="-2.526448" z3="1.057988"/>
<atom elementType="C" id="a58" x3="5.99472" y3="-2.406666" z3="0.643289"/>
<atom elementType="H" id="a59" x3="5.799005" y3="-3.442362" z3="0.931205"/>
<atom elementType="C" id="a60" x3="4.92857" y3="-1.605289" z3="0.199057"/>
<atom elementType="C" id="a61" x3="3.585807" y3="-2.100633" z3="0.103051"/>
<atom elementType="H" id="a62" x3="3.394414" y3="-3.142296" z3="0.373187"/>
<atom elementType="C" id="a63" x3="2.561188" y3="-1.308657" z3="-0.327366"/>
<atom elementType="H" id="a64" x3="1.563074" y3="-1.740756" z3="-0.393879"/>
<atom elementType="C" id="a65" x3="2.770686" y3="0.066585" z3="-0.704696"/>
<atom elementType="C" id="a66" x3="4.108602" y3="0.579373" z3="-0.63846"/>
<atom elementType="C" id="a67" x3="5.178712" y3="-0.252306" z3="-0.184754"/>
</atomArray>
<bondArray/>
<property dictRef="cml:molmass">
<scalar units="unit:dalton">598.9392</scalar>
</property>
<formula convention="iupac:inchi" inline="InChI=1/31C.Cl.3N.O.Ru.S.29H">
<scalar dataType="xsd:integer" id="auxInfo">AuxInfo=1/0/N:8;12;16;18;20;22;24;25;28;31;32;34;36;38;40;43;44;46;48;49;51;53;54;56;58;60;61;63;65;66;67;2;5;6;7;4;1;3;9;10;11;13;14;15;17;19;21;23;26;27;29;30;33;35;37;39;41;42;45;47;50;52;55;57;59;62;64/rA:67nRuCl0S0O0N0N0N0C0H0H0H0C0H0H0H0C0H0C0H0C0H0C0H0C0C0H0H0C0H0H0C0C0H0C0H0C0H0C0H0C0H0H0C0C0H0C0H0C0C0H0C0H0C0C0H0C0H0C0H0C0C0H0C0H0C0C0C0/rB:;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;/rC:-2.4303,-.0015,-.1719;-3.1471,1.5537,-1.8756;-3.6723,-1.7469,-1.6089;-3.7469,-3.1777,-1.1488;-2.7462,1.4475,1.1909;-.5145,.8048,.07;-1.6464,-1.434,1.1308;-2.9854,-1.706,-3.2868;-3.599,-2.3714,-3.91;-1.9606,-2.0922,-3.2132;-2.9924,-.6654,-3.6376;-5.3554,-1.158,-1.9386;-5.8107,-1.8586,-2.6524;-5.2995,-.13,-2.3204;-5.8869,-1.1942,-.979;-3.8332,1.506,1.9808;-4.5163,.6564,1.9207;-4.0741,2.5917,2.8164;-4.9701,2.6029,3.4382;-3.1586,3.6461,2.8379;-3.3215,4.511,3.4836;-2.0275,3.5762,2.0214;-1.2874,4.378,2.0125;-1.849,2.4672,1.2009;-.705,2.276,.2486;-.9821,2.6913,-.7307;.2184,2.7616,.5982;.0857,.2387,1.3209;1.1814,.2877,1.2753;-.2297,.8777,2.1587;-.4041,-1.1513,1.599;.329,-2.0719,2.3411;1.3356,-1.8149,2.674;-.239,-3.3137,2.6371;.3152,-4.0506,3.222;-1.5188,-3.5959,2.1606;-2.0001,-4.5558,2.3522;-2.1893,-2.6386,1.403;-3.1585,-2.8525,.9498;.2874,.4775,-1.1701;-.257,.955,-1.9945;.1938,-.6076,-1.3044;1.7254,.9241,-1.137;2.0292,2.2346,-1.5368;1.2281,2.8748,-1.9142;3.3254,2.7337,-1.4833;3.5325,3.7566,-1.8052;4.383,1.9289,-1.0261;5.731,2.4205,-.9476;5.9248,3.452,-1.2503;6.7476,1.6251,-.5094;7.768,2.0116,-.4548;6.5099,.2645,-.1132;7.5453,-.5723,.3389;8.5618,-.1756,.3929;7.2893,-1.8922,.7124;8.1082,-2.5264,1.058;5.9947,-2.4067,.6433;5.799,-3.4424,.9312;4.9286,-1.6053,.1991;3.5858,-2.1006,.1031;3.3944,-3.1423,.3732;2.5612,-1.3087,-.3274;1.5631,-1.7408,-.3939;2.7707,.0666,-.7047;4.1086,.5794,-.6385;5.1787,-.2523,-.1848;</scalar>
</formula>
</molecule>
</module>
</module>
</module>
</module>
