diff --git a/networks/alecs.umist.d b/networks/alecs.umist.d index a94bcf4..237e5b1 100644 --- a/networks/alecs.umist.d +++ b/networks/alecs.umist.d @@ -1,218 +1,218 @@ -0,Ar,CRP,,n-C3H7CN+,e-,,,3.79e-17,0.00,0.0,L,10,41000,C,ALECS -1,C,CRP,,n-C3H7CN+,e-,,,4.23e-17,0.00,0.0,L,10,41000,C,ALECS -2,C10H2,CRP,,n-C3H7CN+,e-,,,2.98e-16,0.00,0.0,L,10,41000,C,ALECS -3,C14H10,CRP,,n-C3H7CN+,e-,,,5.34e-16,0.00,0.0,L,10,41000,C,ALECS -4,C2,CRP,,n-C3H7CN+,e-,,,5.28e-17,0.00,0.0,L,10,41000,C,ALECS -5,C2H,CRP,,n-C3H7CN+,e-,,,6.48e-17,0.00,0.0,L,10,41000,C,ALECS -6,C2H2,CRP,,n-C3H7CN+,e-,,,7.10e-17,0.00,0.0,L,10,41000,C,ALECS -7,C2H2O,CRP,,n-C3H7CN+,e-,,,9.45e-17,0.00,0.0,L,10,41000,C,ALECS -8,C2H3,CRP,,n-C3H7CN+,e-,,,8.13e-17,0.00,0.0,L,10,41000,C,ALECS -9,C2H3NH2,CRP,,n-C3H7CN+,e-,,,1.31e-16,0.00,0.0,L,10,41000,C,ALECS -10,C2H4,CRP,,n-C3H7CN+,e-,,,8.52e-17,0.00,0.0,L,10,41000,C,ALECS -11,C2H5,CRP,,n-C3H7CN+,e-,,,9.60e-17,0.00,0.0,L,10,41000,C,ALECS 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C7H7 CR C7H7+ e- 0.228E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 61 1 1 + C7H8 CR C7H8+ e- 0.201E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 62 1 1 + C8H CR C8H+ e- 0.174E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 63 1 1 + C8H2 CR C8H2+ e- 0.193E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 64 1 1 + C8H6 CR C8H6+ e- 0.215E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 65 1 1 + CCN CR CCN+ e- 0.600E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 66 1 1 + CCO CR CCO+ e- 0.599E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 67 1 1 + CH CR CH+ e- 0.319E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 68 1 1 + CH2 CR CH2+ e- 0.347E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 69 1 1 + CH2CCCCH2 CR CH2CCCCH2+ e- 0.144E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 70 1 1 + CH2CCH2 CR CH2CCH2+ e- 0.920E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 71 1 1 + CH2CCHCN CR CH2CCHCN+ e- 0.119E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 72 1 1 + CH2CCO CR CH2CCO+ e- 0.996E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 73 1 1 + CH2CHCHCH2 CR CH2CHCHCH2+ e- 0.125E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 74 1 1 + CH2CHCHO CR CH2CHCHO+ e- 0.106E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 75 1 1 + CH2CHCN CR CH2CHCN+ e- 0.965E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 76 1 1 + CH2NH CR CH2NH+ e- 0.658E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 77 1 1 + CH2NH2 CR CH2NH2+ e- 0.756E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 78 1 1 + CH2O CR CH2O+ e- 0.521E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 79 1 1 + CH2OH CR CH2OH+ e- 0.634E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 80 1 1 + CH2OHCH2OH CR CH2OHCH2OH+ e- 0.123E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 81 1 1 + CH2OHCHO CR CH2OHCHO+ e- 0.104E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 82 1 1 + CH2PH CR CH2PH+ e- 0.774E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 83 1 1 + CH2SH CR CH2SH+ e- 0.796E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 84 1 1 + CH3 CR CH3+ e- 0.391E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 85 1 1 + CH3C2H CR CH3C2H+ e- 0.886E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 86 1 1 + CH3C3N CR CH3C3N+ e- 0.117E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 87 1 1 + CH3C4H CR CH3C4H+ e- 0.135E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 88 1 1 + CH3C5N CR CH3C5N+ e- 0.159E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 89 1 1 + CH3C6H CR CH3C6H+ e- 0.182E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 90 1 1 + CH3CHNH CR CH3CHNH+ e- 0.942E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 91 1 1 + CH3CHO CR CH3CHO+ e- 0.835E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 92 1 1 + CH3CHS CR CH3CHS+ e- 0.104E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 93 1 1 + CH3CN CR CH3CN+ e- 0.736E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 94 1 1 + CH3COCH3 CR CH3COCH3+ e- 0.117E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 95 1 1 + CH3COCN CR CH3COCN+ e- 0.110E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 96 1 1 + CH3CONH2 CR CH3CONH2+ e- 0.115E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 97 1 1 + CH3COOCH3 CR CH3COOCH3+ e- 0.137E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 98 1 1 + CH3COOH CR CH3COOH+ e- 0.102E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 99 1 1 + CH3NC CR CH3NC+ e- 0.764E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 100 1 1 + CH3NCO CR CH3NCO+ e- 0.108E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 101 1 1 + CH3NH CR CH3NH+ e- 0.669E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 102 1 1 + CH3NH2 CR CH3NH2+ e- 0.744E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 103 1 1 + CH3NHCHO CR CH3NHCHO+ e- 0.116E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 104 1 1 + CH3O CR CH3O+ e- 0.552E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 105 1 1 + CH3OCH2 CR CH3OCH2+ e- 0.964E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 106 1 1 + CH3OCH2OH CR CH3OCH2OH+ e- 0.121E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 107 1 1 + CH3OCH3 CR CH3OCH3+ e- 0.982E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 108 1 1 + CH3OH CR CH3OH+ e- 0.650E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 109 1 1 + CH3S CR CH3S+ e- 0.771E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 110 1 1 + CH4 CR CH4+ e- 0.409E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 111 1 1 + CHNO CR CHNO+ e- 0.635E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 112 1 1 + CN CR CN+ e- 0.388E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 113 1 1 + CNO CR CNO+ e- 0.579E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 114 1 1 + CO CR CO+ e- 0.348E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 115 1 1 + CO2 CR CO2+ e- 0.529E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 116 1 1 + CP CR CP+ e- 0.596E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 117 1 1 + CS CR CS+ e- 0.543E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 118 1 1 + H CR H+ e- 0.713E+00 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 119 1 1 + H2 CR H2+ e- 0.100E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 120 1 1 + H2CCHOH CR H2CCHOH+ e- 0.882E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 121 1 1 + H2CCN CR H2CCN+ e- 0.711E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 122 1 1 + H2CCNH CR H2CCNH+ e- 0.836E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 123 1 1 + H2CCS CR H2CCS+ e- 0.942E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 124 1 1 + H2CN CR H2CN+ e- 0.521E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 125 1 1 + H2CS CR H2CS+ e- 0.716E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 126 1 1 + H2O CR H2O+ e- 0.323E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 127 1 1 + H2O2 CR H2O2+ e- 0.566E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 128 1 1 + H2S CR H2S+ e- 0.471E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 129 1 1 + HC11N CR HC11N+ e- 0.252E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 130 1 1 + HC2CHO CR HC2CHO+ e- 0.945E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 131 1 1 + HC2NC CR HC2NC+ e- 0.875E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 132 1 1 + HC2O CR HC2O+ e- 0.674E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 133 1 1 + HC3N CR HC3N+ e- 0.846E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 134 1 1 + HC3O CR HC3O+ e- 0.876E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 135 1 1 + HC5N CR HC5N+ e- 0.125E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 136 1 1 + HC7N CR HC7N+ e- 0.168E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 137 1 1 + HC9N CR HC9N+ e- 0.211E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 138 1 1 + HCCCO CR HCCCO+ e- 0.877E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 139 1 1 + HCCN CR HCCN+ e- 0.678E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 140 1 1 + HCCO CR HCCO+ e- 0.682E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 141 1 1 + HCN CR HCN+ e- 0.436E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 142 1 1 + HCNCC CR HCNCC+ e- 0.952E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 143 1 1 + HCNO CR HCNO+ e- 0.669E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 144 1 1 + HCNS CR HCNS+ e- 0.906E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 145 1 1 + HCO CR HCO+ e- 0.466E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 146 1 1 + HCOCHO CR HCOCHO+ e- 0.892E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 147 1 1 + HCOOC2H5 CR HCOOC2H5+ e- 0.135E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 148 1 1 + HCOOCH3 CR HCOOCH3+ e- 0.102E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 149 1 1 + HCOOH CR HCOOH+ e- 0.703E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 150 1 1 + HF CR HF+ e- 0.239E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 151 1 1 + HNC CR HNC+ e- 0.457E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 152 1 1 + HNC3 CR HNC3+ e- 0.937E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 153 1 1 + HNCHCN CR HNCHCN+ e- 0.898E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 154 1 1 + HNCHSH CR HNCHSH+ e- 0.983E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 155 1 1 + HNCO CR HNCO+ e- 0.634E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 156 1 1 + HNCS CR HNCS+ e- 0.851E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 157 1 1 + HNO CR HNO+ e- 0.478E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 158 1 1 + HO2 CR HO2+ e- 0.479E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 159 1 1 + HOCO CR HOCO+ e- 0.656E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 160 1 1 + HPO CR HPO+ e- 0.626E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 161 1 1 + HS CR HS+ e- 0.427E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 162 1 1 + HSCN CR HSCN+ e- 0.788E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 163 1 1 + HSSH CR HSSH+ e- 0.861E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 164 1 1 + HE CR HE+ e- 0.459E+00 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 165 1 1 + N CR N+ e- 0.252E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 166 1 1 + N2 CR N2+ e- 0.332E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 167 1 1 + N2H3 CR N2H3+ e- 0.680E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 168 1 1 + N2H4 CR N2H4+ e- 0.734E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 169 1 1 + N2O CR N2O+ e- 0.546E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 170 1 1 + NC4N CR NC4N+ e- 0.112E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 171 1 1 + NC6N CR NC6N+ e- 0.154E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 172 1 1 + NCSH CR NCSH+ e- 0.788E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 173 1 1 + NH CR NH+ e- 0.274E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 174 1 1 + NH2 CR NH2+ e- 0.337E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 175 1 1 + NH2CH2CN CR NH2CH2CN+ e- 0.103E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 176 1 1 + NH2CHO CR NH2CHO+ e- 0.823E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 177 1 1 + NH2CHS CR NH2CHS+ e- 0.105E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 178 1 1 + NH2CN CR NH2CN+ e- 0.768E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 179 1 1 + NH3 CR NH3+ e- 0.397E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 180 1 1 + NHCNH CR NHCNH+ e- 0.783E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 181 1 1 + NO CR NO+ e- 0.378E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 182 1 1 + NO2 CR NO2+ e- 0.552E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 183 1 1 + NO3 CR NO3+ e- 0.714E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 184 1 1 + NS CR NS+ e- 0.547E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 185 1 1 + O CR O+ e- 0.221E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 186 1 1 + O2 CR O2+ e- 0.370E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 187 1 1 + O3 CR O3+ e- 0.573E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 188 1 1 + OCN CR OCN+ e- 0.563E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 189 1 1 + OCS CR OCS+ e- 0.705E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 190 1 1 + OH CR OH+ e- 0.267E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 191 1 1 + P CR P+ e- 0.480E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 192 1 1 + PH CR PH+ e- 0.447E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 193 1 1 + PH2 CR PH2+ e- 0.489E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 194 1 1 + PN CR PN+ e- 0.557E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 195 1 1 + PO CR PO+ e- 0.586E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 196 1 1 +R-CH3CHCH2O CR R-CH3CHCH2O e- 0.119E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 197 1 1 + S CR S+ e- 0.406E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 198 1 1 +S-CH3CHCH2O CR S-CH3CHCH2O e- 0.119E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 199 1 1 + S2 CR S2+ e- 0.712E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 200 1 1 + SO CR SO+ e- 0.530E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 201 1 1 + SO2 CR SO2+ e- 0.699E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 202 1 1 + SO3 CR SO3+ e- 0.838E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 203 1 1 + C-C2H4O CR C-C2H4O+ e- 0.106E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 204 1 1 + C-C3H CR C-C3H+ e- 0.714E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 205 1 1 + C-C3H2 CR C-C3H2+ e- 0.797E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 206 1 1 + C-C6H5CN CR C-C6H5CN+ e- 0.186E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 207 1 1 + C-C6H6 CR C-C6H6+ e- 0.170E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 208 1 1 + C-H2C3O CR C-H2C3O+ e- 0.960E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 209 1 1 + I-C3H7CN CR I-C3H7CN+ e- 0.137E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 210 1 1 + L-C3H CR L-C3H+ e- 0.758E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 211 1 1 + L-C3H2 CR L-C3H2+ e- 0.801E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 212 1 1 + L-C3H6 CR L-C3H6+ e- 0.101E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 213 1 1 + L-HC4H CR L-HC4H+ e- 0.999E+01 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 214 1 1 + L-HC4N CR L-HC4N+ e- 0.114E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 215 1 1 + L-HC6H CR L-HC6H+ e- 0.146E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 216 1 1 + N-C3H7CN CR N-C3H7CN+ e- 0.138E+02 0.000E+00 0.000E+00 0.20E+01 0.00E+00 logn 1 -9999 9999 1 217 1 1 diff --git a/scripts/alecs.umist.d b/scripts/alecs.umist.d new file mode 100644 index 0000000..237e5b1 --- /dev/null +++ b/scripts/alecs.umist.d @@ -0,0 +1,218 @@ +0,Ar,CRP,,Ar+,e-,,,3.79e-17,0.00,0.0,L,10,41000,C,ALECS +1,C,CRP,,C+,e-,,,4.23e-17,0.00,0.0,L,10,41000,C,ALECS +2,C10H2,CRP,,C10H2+,e-,,,2.98e-16,0.00,0.0,L,10,41000,C,ALECS +3,C14H10,CRP,,C14H10+,e-,,,5.34e-16,0.00,0.0,L,10,41000,C,ALECS +4,C2,CRP,,C2+,e-,,,5.28e-17,0.00,0.0,L,10,41000,C,ALECS +5,C2H,CRP,,C2H+,e-,,,6.48e-17,0.00,0.0,L,10,41000,C,ALECS +6,C2H2,CRP,,C2H2+,e-,,,7.10e-17,0.00,0.0,L,10,41000,C,ALECS +7,C2H2O,CRP,,C2H2O+,e-,,,9.45e-17,0.00,0.0,L,10,41000,C,ALECS +8,C2H3,CRP,,C2H3+,e-,,,8.13e-17,0.00,0.0,L,10,41000,C,ALECS +9,C2H3NH2,CRP,,C2H3NH2+,e-,,,1.31e-16,0.00,0.0,L,10,41000,C,ALECS +10,C2H4,CRP,,C2H4+,e-,,,8.52e-17,0.00,0.0,L,10,41000,C,ALECS +11,C2H5,CRP,,C2H5+,e-,,,9.60e-17,0.00,0.0,L,10,41000,C,ALECS +12,C2H5CHO,CRP,,C2H5CHO+,e-,,,1.49e-16,0.00,0.0,L,10,41000,C,ALECS +13,C2H5CN,CRP,,C2H5CN+,e-,,,1.37e-16,0.00,0.0,L,10,41000,C,ALECS +14,C2H5OCH3,CRP,,C2H5OCH3+,e-,,,1.74e-16,0.00,0.0,L,10,41000,C,ALECS +15,C2H5OH,CRP,,C2H5OH+,e-,,,1.28e-16,0.00,0.0,L,10,41000,C,ALECS +16,C2H6,CRP,,C2H6+,e-,,,9.70e-17,0.00,0.0,L,10,41000,C,ALECS +17,C2HNO,CRP,,C2HNO+,e-,,,1.04e-16,0.00,0.0,L,10,41000,C,ALECS +18,C2N2,CRP,,C2N2+,e-,,,9.41e-17,0.00,0.0,L,10,41000,C,ALECS +19,C3,CRP,,C3+,e-,,,8.20e-17,0.00,0.0,L,10,41000,C,ALECS +20,C3H3,CRP,,C3H3+,e-,,,1.12e-16,0.00,0.0,L,10,41000,C,ALECS +21,C3H5,CRP,,C3H5+,e-,,,1.28e-16,0.00,0.0,L,10,41000,C,ALECS +22,C3H5CN,CRP,,C3H5CN+,e-,,,1.67e-16,0.00,0.0,L,10,41000,C,ALECS +23,C3H7,CRP,,C3H7+,e-,,,1.41e-16,0.00,0.0,L,10,41000,C,ALECS +24,C3H8,CRP,,C3H8+,e-,,,1.41e-16,0.00,0.0,L,10,41000,C,ALECS +25,C3N,CRP,,C3N+,e-,,,1.01e-16,0.00,0.0,L,10,41000,C,ALECS +26,C3O,CRP,,C3O+,e-,,,1.04e-16,0.00,0.0,L,10,41000,C,ALECS +27,C4,CRP,,C4+,e-,,,1.12e-16,0.00,0.0,L,10,41000,C,ALECS +28,C4H,CRP,,C4H+,e-,,,1.19e-16,0.00,0.0,L,10,41000,C,ALECS +29,C4H10,CRP,,C4H10+,e-,,,1.85e-16,0.00,0.0,L,10,41000,C,ALECS +30,C4H2,CRP,,C4H2+,e-,,,1.31e-16,0.00,0.0,L,10,41000,C,ALECS +31,C4H4,CRP,,C4H4+,e-,,,1.47e-16,0.00,0.0,L,10,41000,C,ALECS +32,C4H5,CRP,,C4H5+,e-,,,1.57e-16,0.00,0.0,L,10,41000,C,ALECS +33,C4H7,CRP,,C4H7+,e-,,,1.74e-16,0.00,0.0,L,10,41000,C,ALECS +34,C4H8,CRP,,C4H8+,e-,,,1.85e-16,0.00,0.0,L,10,41000,C,ALECS +35,C5,CRP,,C5+,e-,,,1.36e-16,0.00,0.0,L,10,41000,C,ALECS +36,C5H,CRP,,C5H+,e-,,,1.52e-16,0.00,0.0,L,10,41000,C,ALECS +37,C5H10,CRP,,C5H10+,e-,,,2.20e-16,0.00,0.0,L,10,41000,C,ALECS +38,C5H11,CRP,,C5H11+,e-,,,2.29e-16,0.00,0.0,L,10,41000,C,ALECS +39,C5H12,CRP,,C5H12+,e-,,,2.30e-16,0.00,0.0,L,10,41000,C,ALECS +40,C5H4,CRP,,C5H4+,e-,,,1.74e-16,0.00,0.0,L,10,41000,C,ALECS +41,C5H5,CRP,,C5H5+,e-,,,1.86e-16,0.00,0.0,L,10,41000,C,ALECS +42,C5H6,CRP,,C5H6+,e-,,,1.92e-16,0.00,0.0,L,10,41000,C,ALECS +43,C5H7,CRP,,C5H7+,e-,,,2.12e-16,0.00,0.0,L,10,41000,C,ALECS +44,C5H8,CRP,,C5H8+,e-,,,2.08e-16,0.00,0.0,L,10,41000,C,ALECS +45,C5H9,CRP,,C5H9+,e-,,,2.18e-16,0.00,0.0,L,10,41000,C,ALECS +46,C5N,CRP,,C5N+,e-,,,1.55e-16,0.00,0.0,L,10,41000,C,ALECS +47,C6H,CRP,,C6H+,e-,,,1.76e-16,0.00,0.0,L,10,41000,C,ALECS +48,C6H10,CRP,,C6H10+,e-,,,2.53e-16,0.00,0.0,L,10,41000,C,ALECS +49,C6H11,CRP,,C6H11+,e-,,,2.64e-16,0.00,0.0,L,10,41000,C,ALECS +50,C6H12,CRP,,C6H12+,e-,,,2.74e-16,0.00,0.0,L,10,41000,C,ALECS +51,C6H13,CRP,,C6H13+,e-,,,2.89e-16,0.00,0.0,L,10,41000,C,ALECS +52,C6H14,CRP,,C6H14+,e-,,,2.75e-16,0.00,0.0,L,10,41000,C,ALECS +53,C6H2,CRP,,C6H2+,e-,,,1.92e-16,0.00,0.0,L,10,41000,C,ALECS +54,C6H4,CRP,,C6H4+,e-,,,2.06e-16,0.00,0.0,L,10,41000,C,ALECS +55,C6H7,CRP,,C6H7+,e-,,,2.33e-16,0.00,0.0,L,10,41000,C,ALECS +56,C6H8,CRP,,C6H8+,e-,,,2.35e-16,0.00,0.0,L,10,41000,C,ALECS +57,C6H9,CRP,,C6H9+,e-,,,2.51e-16,0.00,0.0,L,10,41000,C,ALECS +58,C7H,CRP,,C7H+,e-,,,2.18e-16,0.00,0.0,L,10,41000,C,ALECS +59,C7H10,CRP,,C7H10+,e-,,,2.90e-16,0.00,0.0,L,10,41000,C,ALECS +60,C7H4,CRP,,C7H4+,e-,,,2.36e-16,0.00,0.0,L,10,41000,C,ALECS +61,C7H7,CRP,,C7H7+,e-,,,2.97e-16,0.00,0.0,L,10,41000,C,ALECS +62,C7H8,CRP,,C7H8+,e-,,,2.62e-16,0.00,0.0,L,10,41000,C,ALECS +63,C8H,CRP,,C8H+,e-,,,2.26e-16,0.00,0.0,L,10,41000,C,ALECS +64,C8H2,CRP,,C8H2+,e-,,,2.50e-16,0.00,0.0,L,10,41000,C,ALECS +65,C8H6,CRP,,C8H6+,e-,,,2.80e-16,0.00,0.0,L,10,41000,C,ALECS +66,CCN,CRP,,CCN+,e-,,,7.80e-17,0.00,0.0,L,10,41000,C,ALECS +67,CCO,CRP,,CCO+,e-,,,7.79e-17,0.00,0.0,L,10,41000,C,ALECS +68,CH,CRP,,CH+,e-,,,4.15e-17,0.00,0.0,L,10,41000,C,ALECS +69,CH2,CRP,,CH2+,e-,,,4.51e-17,0.00,0.0,L,10,41000,C,ALECS +70,CH2CCCCH2,CRP,,CH2CCCCH2+,e-,,,1.88e-16,0.00,0.0,L,10,41000,C,ALECS +71,CH2CCH2,CRP,,CH2CCH2+,e-,,,1.20e-16,0.00,0.0,L,10,41000,C,ALECS +72,CH2CCHCN,CRP,,CH2CCHCN+,e-,,,1.55e-16,0.00,0.0,L,10,41000,C,ALECS +73,CH2CCO,CRP,,CH2CCO+,e-,,,1.30e-16,0.00,0.0,L,10,41000,C,ALECS +74,CH2CHCHCH2,CRP,,CH2CHCHCH2+,e-,,,1.62e-16,0.00,0.0,L,10,41000,C,ALECS +75,CH2CHCHO,CRP,,CH2CHCHO+,e-,,,1.37e-16,0.00,0.0,L,10,41000,C,ALECS +76,CH2CHCN,CRP,,CH2CHCN+,e-,,,1.25e-16,0.00,0.0,L,10,41000,C,ALECS +77,CH2NH,CRP,,CH2NH+,e-,,,8.55e-17,0.00,0.0,L,10,41000,C,ALECS +78,CH2NH2,CRP,,CH2NH2+,e-,,,9.83e-17,0.00,0.0,L,10,41000,C,ALECS +79,CH2O,CRP,,CH2O+,e-,,,6.78e-17,0.00,0.0,L,10,41000,C,ALECS +80,CH2OH,CRP,,CH2OH+,e-,,,8.24e-17,0.00,0.0,L,10,41000,C,ALECS +81,CH2OHCH2OH,CRP,,CH2OHCH2OH+,e-,,,1.60e-16,0.00,0.0,L,10,41000,C,ALECS +82,CH2OHCHO,CRP,,CH2OHCHO+,e-,,,1.35e-16,0.00,0.0,L,10,41000,C,ALECS +83,CH2PH,CRP,,CH2PH+,e-,,,1.01e-16,0.00,0.0,L,10,41000,C,ALECS +84,CH2SH,CRP,,CH2SH+,e-,,,1.03e-16,0.00,0.0,L,10,41000,C,ALECS +85,CH3,CRP,,CH3+,e-,,,5.08e-17,0.00,0.0,L,10,41000,C,ALECS +86,CH3C2H,CRP,,CH3C2H+,e-,,,1.15e-16,0.00,0.0,L,10,41000,C,ALECS +87,CH3C3N,CRP,,CH3C3N+,e-,,,1.52e-16,0.00,0.0,L,10,41000,C,ALECS +88,CH3C4H,CRP,,CH3C4H+,e-,,,1.76e-16,0.00,0.0,L,10,41000,C,ALECS +89,CH3C5N,CRP,,CH3C5N+,e-,,,2.07e-16,0.00,0.0,L,10,41000,C,ALECS +90,CH3C6H,CRP,,CH3C6H+,e-,,,2.37e-16,0.00,0.0,L,10,41000,C,ALECS +91,CH3CHNH,CRP,,CH3CHNH+,e-,,,1.22e-16,0.00,0.0,L,10,41000,C,ALECS +92,CH3CHO,CRP,,CH3CHO+,e-,,,1.09e-16,0.00,0.0,L,10,41000,C,ALECS +93,CH3CHS,CRP,,CH3CHS+,e-,,,1.36e-16,0.00,0.0,L,10,41000,C,ALECS +94,CH3CN,CRP,,CH3CN+,e-,,,9.57e-17,0.00,0.0,L,10,41000,C,ALECS +95,CH3COCH3,CRP,,CH3COCH3+,e-,,,1.52e-16,0.00,0.0,L,10,41000,C,ALECS +96,CH3COCN,CRP,,CH3COCN+,e-,,,1.43e-16,0.00,0.0,L,10,41000,C,ALECS +97,CH3CONH2,CRP,,CH3CONH2+,e-,,,1.50e-16,0.00,0.0,L,10,41000,C,ALECS +98,CH3COOCH3,CRP,,CH3COOCH3+,e-,,,1.78e-16,0.00,0.0,L,10,41000,C,ALECS +99,CH3COOH,CRP,,CH3COOH+,e-,,,1.33e-16,0.00,0.0,L,10,41000,C,ALECS +100,CH3NC,CRP,,CH3NC+,e-,,,9.94e-17,0.00,0.0,L,10,41000,C,ALECS +101,CH3NCO,CRP,,CH3NCO+,e-,,,1.41e-16,0.00,0.0,L,10,41000,C,ALECS +102,CH3NH,CRP,,CH3NH+,e-,,,8.69e-17,0.00,0.0,L,10,41000,C,ALECS +103,CH3NH2,CRP,,CH3NH2+,e-,,,9.67e-17,0.00,0.0,L,10,41000,C,ALECS +104,CH3NHCHO,CRP,,CH3NHCHO+,e-,,,1.51e-16,0.00,0.0,L,10,41000,C,ALECS +105,CH3O,CRP,,CH3O+,e-,,,7.18e-17,0.00,0.0,L,10,41000,C,ALECS +106,CH3OCH2,CRP,,CH3OCH2+,e-,,,1.25e-16,0.00,0.0,L,10,41000,C,ALECS +107,CH3OCH2OH,CRP,,CH3OCH2OH+,e-,,,1.57e-16,0.00,0.0,L,10,41000,C,ALECS +108,CH3OCH3,CRP,,CH3OCH3+,e-,,,1.28e-16,0.00,0.0,L,10,41000,C,ALECS +109,CH3OH,CRP,,CH3OH+,e-,,,8.45e-17,0.00,0.0,L,10,41000,C,ALECS +110,CH3S,CRP,,CH3S+,e-,,,1.00e-16,0.00,0.0,L,10,41000,C,ALECS +111,CH4,CRP,,CH4+,e-,,,5.32e-17,0.00,0.0,L,10,41000,C,ALECS +112,CHNO,CRP,,CHNO+,e-,,,8.25e-17,0.00,0.0,L,10,41000,C,ALECS +113,CN,CRP,,CN+,e-,,,5.05e-17,0.00,0.0,L,10,41000,C,ALECS +114,CNO,CRP,,CNO+,e-,,,7.53e-17,0.00,0.0,L,10,41000,C,ALECS +115,CO,CRP,,CO+,e-,,,4.52e-17,0.00,0.0,L,10,41000,C,ALECS +116,CO2,CRP,,CO2+,e-,,,6.87e-17,0.00,0.0,L,10,41000,C,ALECS +117,CP,CRP,,CP+,e-,,,7.75e-17,0.00,0.0,L,10,41000,C,ALECS 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recommended ALeCS ionization cross sections to compute ionization rates for specified electron and/or proton spectra. The notebook will note cells that can be readily modified for different applications.\n", + "\n", + "The required packages for the notebook are:\n", + "\n", + "`glob, numpy, matplotlib, scipy, fortranformat`\n", + "\n", + "The user should modify the following variables:\n", + "- `alecs_db`: Path of the database root folder\n", + "- `networkFormat`: Choose \"kida\" or \"umist\" currently the ones supported in the scripts. Of course, we welcome people requesting different standard formats as needed!\n", + "- `ratePlot`: Plot the rates calculated for all molecules as done in the ALeCS I. paper" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import glob\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.colors as colors\n", + "from matplotlib.lines import Line2D\n", + "from matplotlib.collections import PatchCollection\n", + "from matplotlib.patches import Rectangle\n", + "import scipy.interpolate as si\n", + "import scipy.integrate as sint\n", + "from string import digits, punctuation\n", + "import fortranformat as ff\n", + "\n", + "remove_digits = str.maketrans('', '', digits+punctuation)\n", + "a0 = 5.29177211E-9 #cm\n", + "memp = 5.44617E-4\n", + "mpme = 1836.\n", + "atom_list = ['H', 'He', 'C', 'N', 'O', 'P', 'S', 'Ar']\n", + "\n", + "alecs_db = \"/Users/brandt/Data/ALeCS/\"\n", + "networkFormat = \"kida\"\n", + "ratePlot = True" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Load in all the recommended cross sections. Here, the user could instead replace this with a molecule list, by replacing the for loop as:\n", + "```\n", + "InclMols = [LIST OF MOLS HERE]\n", + "for moli in InclMols:\n", + " file = alecs_db+\"ion_xs/recommended/%.xs\"%moli\n", + " ... as shown ....\n", + "```python" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "molComputedCrossSections = {}\n", + "MolList = []\n", + "\n", + "for file in glob.glob(alecs_db+\"ion_xs/recommended/*.xs\"):\n", + " moli = file.split('/')[-1].split('.')[0]\n", + "\n", + " dat = np.loadtxt(file, skiprows=2)\n", + "\n", + " molXS = {}\n", + " molXS['E'] = dat[:,0]\n", + " molXS['xs'] = dat[:,1] * a0 * a0\n", + " molXS['func'] = si.interp1d(molXS['E'], molXS['xs'], bounds_error=False, fill_value=0.0)\n", + " MolList.append(moli)\n", + " molComputedCrossSections[moli] = molXS\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This just loads in a convinent dictionary for all the molecules and their TeX formatting" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "molLatex = {}\n", + "f = open(\"molLatex.txt\", 'r')\n", + "for l in f.readlines():\n", + " s = l.split()\n", + " molLatex[s[0]] = s[1]\n", + "f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load in the spectra\n", + "These following cells can be replaced to include the spectra desired. In this case, we have proton and electron spectra taken for ISM-like conditions from Padovani et al. (2018, 2022). The dictionary `eData` stores the spectrum in a two level dictionary of $\\log N({\\rm H_2})$, and then the different spectrum. This dictionary and how it used below can be modified as the user desires." + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "colArr = list(range(20,24))\n", + "option = 'H'\n", + "eData = {}\n", + "for i in colArr:\n", + " #sec electrons\n", + " if option.upper() == 'H':\n", + " data = np.load(\"CR_specs/secondary-electron-fluxes/jesec_%dH.npz\"%i)\n", + " if option.upper() == 'L':\n", + " data = np.load(\"CR_specs/secondary-electron-fluxes/jesec_%dL.npz\"%i)\n", + " eData[i] = {}\n", + " eData[i]['E'] = data['E']\n", + " eData[i]['je'] = data['je']\n", + "\n", + " #protons\n", + " if option.upper() == 'H':\n", + " data = np.load(\"CR_specs/proton-fluxes/jp_%dH.npz\"%i)\n", + " if option.upper() == 'L':\n", + " data = np.load(\"CR_specs/proton-fluxes/jp_%dL.npz\"%i)\n", + " parr = data['E']\n", + " pspec = data['jp']\n", + " eData[i]['Ep'] = parr\n", + " eData[i]['jp'] = pspec\n", + "\n", + " #primary electrons\n", + " eData[i]['Ee'] = np.load(\"CR_specs/primary-electron-fluxes/E.npy\")\n", + " eData[i]['jpe'] = np.load(\"CR_specs/primary-electron-fluxes/je1_%d.npy\"%i)\n", + "\n", + " #primary-electron induced secondaries\n", + " eData[i]['Ese'] = np.load(\"CR_specs/secondary-from-primary-electrons-fluxes/E.npy\")\n", + " eData[i]['jse'] = np.load(\"CR_specs/secondary-from-primary-electrons-fluxes/je2frome1_%d.npy\"%i)\n", + " eData[i]['jse'] = np.nan_to_num(eData[i]['jse'], nan=0.0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Compute the H2 ionization rate including all species. Note how we use the electron cross sections for the proton by scaling by the electron to proton mass ratio, as done in previous studies." + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "moli = 'H2'\n", + "H2CRIR = {}\n", + "for nhi in colArr:\n", + " xsi = molComputedCrossSections[moli]['func'](eData[nhi]['E'])\n", + " xsip = molComputedCrossSections[moli]['func'](eData[nhi]['Ep']/mpme)\n", + " xsipe = molComputedCrossSections[moli]['func'](eData[nhi]['Ee'])\n", + " xsipse = molComputedCrossSections[moli]['func'](eData[nhi]['Ese'])\n", + "\n", + " ionR = 4.*np.pi*sint.trapz(xsi*eData[nhi]['je'], x = eData[nhi]['E'])\n", + " ionRP = 2.*np.pi*sint.trapz(xsip*eData[nhi]['jp'], x = eData[nhi]['Ep'])\n", + " ionRPE = 2.*np.pi*sint.trapz(xsipe*eData[nhi]['jpe'], x = eData[nhi]['Ee'])\n", + " ionRESE = 4.*np.pi*sint.trapz(xsipse*eData[nhi]['jse'], x = eData[nhi]['Ese'])\n", + "\n", + " H2CRIR[nhi] = ionR + ionRP + ionRPE + ionRESE" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Compute all the ionization rates. Information is stored in the `molIonCoeffs[molName]` dictionary for the ionization rates versus column density and `molNatoms[molName]` for the number of atoms. The former can be changed for a singular value instead of an array if desired, of course. The latter dictionary is useful for plotting and sorting the dictionary by the size of the molecule" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "molIonCoeffs={}\n", + "molNatoms = {}\n", + "molNames = []\n", + "for moli in molComputedCrossSections.keys():\n", + " ioni = []\n", + " xsi = molComputedCrossSections[moli]['xs']\n", + " \n", + " for nhi in colArr:\n", + " xsi = molComputedCrossSections[moli]['func'](eData[nhi]['E'])\n", + " xsip = molComputedCrossSections[moli]['func'](eData[nhi]['Ep']/mpme)\n", + " xsipe = molComputedCrossSections[moli]['func'](eData[nhi]['Ee'])\n", + " xsipse = molComputedCrossSections[moli]['func'](eData[nhi]['Ese'])\n", + "\n", + " ionR = 4.*np.pi*sint.trapz(xsi*eData[nhi]['je'], x = eData[nhi]['E'])\n", + " ionRP = 2.*np.pi*sint.trapz(xsip*eData[nhi]['jp'], x = eData[nhi]['Ep'])\n", + " ionRPE = 2.*np.pi*sint.trapz(xsipe*eData[nhi]['jpe'], x = eData[nhi]['Ee'])\n", + " ionRESE = 4.*np.pi*sint.trapz(xsipse*eData[nhi]['jse'], x = eData[nhi]['Ese'])\n", + "\n", + " ioni.append((ionR+ionRP+ionRPE+ionRESE)/H2CRIR[nhi])\n", + "\n", + " if moli in atom_list:\n", + " molNatoms[moli] = 1\n", + " else:\n", + " if os.path.isfile(alecs_db+\"geoms/mp2/%s.pdb\"%moli):\n", + " Natomi = 0\n", + " with open(alecs_db+\"geoms/mp2/%s.pdb\"%moli, 'r') as f:\n", + " lines = f.readlines()\n", + " for line in lines:\n", + " if 'HETATM' in line:\n", + " s = line.split()\n", + " Natomi += 1\n", + " molNatoms[moli] = Natomi\n", + " else:\n", + " if os.path.isfile(alecs_db+\"geoms/hf/%s.xyz\"%(moli)):\n", + " Natomi = 0\n", + " with open(alecs_db+\"geoms/hf/%s.xyz\"%(moli), 'r') as f:\n", + " lines = f.readlines()\n", + " Natomi = int(len(lines[2:]))\n", + " molNatoms[moli] = Natomi\n", + "\n", + " else:\n", + " print(\"ERROR! No pdb or xyz file for %s\"%moli)\n", + " molIonCoeffs[moli] = np.array(ioni)\n", + " if moli not in molLatex.keys():\n", + " print(\"Latex missing: %s\"% moli)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here, restore all the variables for convience in bins of molecule size. This is, of course, entirely not needed if one just wants a network, but it can make plotting and network files easier to read through if molecules are sorted by size. We include this to enable reproducability of the paper plots and tables." + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "molCoeffsAll = {}\n", + "NatomsList = []\n", + "for molName in MolList:\n", + " Natoms = molNatoms[molName]\n", + " if (Natoms >= 10) and (Natoms < 15):\n", + " Natoms = 10\n", + " if (Natoms >= 15):\n", + " Natoms = 15\n", + " if Natoms not in NatomsList:\n", + " NatomsList.append(Natoms)\n", + " molData = {}\n", + " molData['name'] = molName\n", + " molData['BEB'] = molIonCoeffs[molName]\n", + " molData['mBEB'] = np.mean(molIonCoeffs[molName])\n", + " molData['numAtm'] = Natoms\n", + " if (molData['name'][-1] == '+') or (molData['name'][-1] == '-'):\n", + " continue\n", + " if Natoms not in molCoeffsAll.keys():\n", + " molCoeffsAll[Natoms] = [molData]\n", + " else:\n", + " molCoeffsAll[Natoms].append(molData)\n", + "\n", + "NatomsList.sort()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot all the reaction rates with the deviation versus column as boxes, as shown in the paper" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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WIN0S6gxZWVm2/c4H12BlryAIQnWULRS7lJeHbwYMgOXcOfuv5Q0G+AYF4dZVq7BVQxssLsi5Vg9yfDmHdEvwYqxWK44cOUKyapGLlyrroEGDsGPHDiQlJWn1choDTl5OWam8nLJSeb05a9nX8Vvj47Fw3jyH800Xvvuuy4WHN4+BI+Rcq8/rjjnd3j4GFEhx62YsFgtyc3NJVi1y8XLKSuXllJXKyykrlZdTViovl6yUc/u5jAFHr7dndcecbm8fAwqkuBUEQRCEq0A931Son7irh3B9Q4pbQRAEQagBERERyMzMRGhoKDIzM6XVoOAy7uohXN+Q4tbNGAwGhIeHk6xa5OLllJXKyykrlZdTViovp6xUXk5ZgcvTEz7//HOtC6m4jQEnL4es1D2EOYyBbqRbgnRLEARBEATBzZTftlkphb0TJuD05s2X598ajQjr2RMdXnsNAKSPMKRbgldjsViwf/9+kondXLyffPIJwsPDsWTJEm1OgNcYcMpK5eWUlcrLKSuVl1NWKi+nrNy8XLLapicEBACA1ukIXMZAJ1Lcuhmr1YoDBw6QtOTg4DWZTEhJScHp06eRkpICk8mkxQvwGQMqJzcvp6xUXk5ZqbycslJ5OWXl5uWU1a9pU0RPmQLfJk0QPWWKti2NOY2BLqS4FdyGUgopKSk4d+4cAKCoqAipqakeTiUIgiAI3kFEQgLaZmUh/J57PB2FNeyLW4vFgueeew6tWrVCQEAAWrdujZdeegn1fCqxV9E7Nxe9c3PRYeZMrFy50vYVhsViwYoVKxA7c6btOYIgCIIgCK7g6+kArpKRkYHZs2djwYIFiI2Nxc6dO/Hoo48iJCQETz75pKfjVcLHxwdRUVHw8dH7ucLbvZfy8nAgPf1yq5MK2wsenD4dod26ufwVjLePAbWTm5dTViovp6xUXk5ZqbycsnLzcsoKADAY0NDfv3JbMBdgNwYaYN8t4f7770fz5s3x3nvv2e5LSkpCQEAAPv7446v+vnRLoKdXTo79KtCK+PggrFcvdHjtNVkRKgiCoImsrCyMHTsWs2bN0tq6jApueV3FmW8r5b2xnnVLuP3227Fx40YcPHgQALB79258/fXX6Nu3r8Pnl5SUoLCw0O7mTiwWC3JyckhWLXqrt6bbC54/fLjWrwF49xi4w8nNyykrlZdTViovp6xUXgqnyWTCqFGjcOLECYwaNUrr4l1OeTkdB8DltSnnioq0Tq3kNgY6YF/cTpo0CcnJyWjbti0aNGiALl26YNy4cRg2bJjD58+YMQMhISG2W2RkpFvzWq1WHD16lGTVord6a7q9YGDr1rV+DcC7x8AdTm5eTlmpvJyyUnk5ZaXy6nKWrV3olZOD2KFDUXBl8W5+URFihw61Pe7q+gYdectnuVpeT2el8m6Ki6t0+7JDB0zNy8OXHTrY3e/prO706oB9cZuVlYWFCxdi0aJF+P7777FgwQL885//xIIFCxw+f/LkySgoKLDdjh075ubE9Q/ZXlAQBMF9nFq/3v7bMosFp7OzYVq/3rPBqoBbXsH7YV/cPv3007artx07dsRDDz2Ep556CjNmzHD4fH9/fzRu3NjuJlTN0qVLMWLECCxbtswlD/X2goIgCEKFxbvlubJ491JenmeCVQG3vAIP2Be3Fy5cqLRSz2g0euVlcuDy6sKYmBiSVYu6vSaTCWlpacjPz0daWlqt50CVfa3y48SJGDhwIIxXpicYjUYkJiZi78SJWr564TS2nLJSeTllpfJyykrl5ZSVyqvLqZTCwfR0WC5ccHghwXz+PA6mp7v0GgCvvJyOAyovp6y6YN8tYcSIEdiwYQPmzp2L2NhY5OTkYNSoUXjssceQkZFx1d+XbgmOUUohKSkJn376KSwWC4xGI/r374/ly5e75DWZTIiJiUF+fj6aNGmC/fv3IyIiQlNqQRCE+ssty5ZhZw26DNyybBm+TUpyQ6Kq6Z2bi3M//1yjvD/++CNiY2PdkErwZupVt4S33noLgwYNQlpaGtq1a4cJEyZg9OjReOmllzwdzSFmsxnbtm2D2Wz2Om/5Cf5X23ChtkRERCAzMxNNmzZFZmam1sLWm8fWHU5uXk5ZqbycslJ5OWWl8upyumvxrrvzulLYcjoOqLycsuqC/SYOwcHBePPNN/Hmm296OkqNUErh1KlT2ndQ0+mtyYYLrjBo0CA0atQI/fr1czGpPRzGltLJzcspK5WXU1YqL6esVF5dzrLFu2e/+w6Wc+cqnb91Ld7llJfTcUDl5ZRVF+yv3Ap6cdecLUEQBEE/3Bbvcssr/A9dC84pkOJWsKOmGy7s3bvXvcEEQRCEGhGekGD/df+Vr/cjEhI8G6wKuOUV9C04J0PVcwoKChQAVVBQ4JbXs1gs6rffflMWi8XrvL1yclTP779XYfHxCkajAlD5ZjSqsPh4j2fl7uWUlcrLKSuVl1NWKi+nrFReCufJkydVSEiIAqBCQ0PVyZMntbk55eV0HFB5dTutVqsaOHCgMl6pE4xGo0pMTNTirg5n6jX23RJcRbol/I+yhWKX8vLwzYABjudABQXh1lWrsDU+3jMhBUEQhBqRlZWFsWPHYtasWRhcg64EnoZb3vrKkiVLkJyc7PD+IUOGkL1uveqWwA2z2Yzs7GySVYu6vNRzoDiMAbWXU1YqL6esVF5OWam8nLJSeamyJiYmYuHChRg4cKBWL6e8nI4DKq9Op8lkQkpKCgwVNt0wGAwYPXq010xPYN8tgRtKKRQVFZGsWnTVW34TBdW5M5K++aZyn9uJE70iK3cvp6xUXk5ZqbycslJ5OWWl8nLKys3LKSuVV5dTKYWUlBSHrrLXSE1Ndbkfvg7kyq3gEIPBgDlz5iAoKAjA5ZZrs2fP9nAqQRAEQRA8wa3Ll9v1v69IWT98b1hwLsWtUCVlGy6EhoZq33BBEARBEAQ+fJuUhIEDB8JYxaYbRqMRiYmJXrGbnCwoc/OCMqvVitOnTyMsLEzrfsycvJyyUnk5ZaXycspK5eWUlcrLKSuVl1NWbl5OWam8Op0mkwkxMTEoKCiwm5pgMBgQGhqK/fv3k10Ic6Zek+JWuiUIgiAIgiDUCOmWIFSitLQUn3/+OUpLS+utl1NWKi+nrFReTlmpvJyyUnk5ZaXycsrKzcspK5VXt3PIkCF20xPKpiNQFrbOIsWtB9DdOgS4vA3e8OHDSbbBo8hL4eTm5ZSVysspK5WXU1YqL6esVF5OWbl5OWWl8up0clhwLsVtHcDrt8ETBEEQBKHO4O0LzqXPLVPKdhNTSmHvhAkoOHcOAJBfVITYoUPR4bXXANj3rhUEQRAEwTnK3m/Lo6xWnAkMxBt79sBQbpFWfXrPHTx4MAIDA9GvXz9PR6mELChz84KyskbHwcHBlXb4cIayPzbTunXYN2lSpcfbZ2QgIiHB5T80XXmpndy8nLJSeZcsWYInn3wSb731lta5WpzGgFNWKi+nrFReTlm5eXU4HRW3pnXrcOjVV9Fm4kREJCTY7vfG91xu59qqkAVlXk5AQIAWz6W8PBxITwcqHlQGAw5On45LeXlaXkdXXmonNy+nrLq9ZVs4mkwmki0bOYwBpZObl1NWKi+nrNy8up2X8vJwYPp0lJ45o/W9tgw517qOFLduxmw244svvnB5crdSCgfT02G5cAGoePFdKZjPn8fB9HSXXgPQl5fayc3LKatub/ktHAHYtmzUBYcxoHRy83LKSuXllJWbV7fT9t5bXHzZf+GClvfaMuRcqwcpbply/vBhnM7OBqrYBg9WK05nZ3vFNniCUJ6srCy7LRzLtmzMysrycDJBEITqObV+vf17r8WC09nZMK1f79lgDqjP59paFbcfffQRzl1ZwCR4hsDWrREWHw9UsQ0ejEaExcd7xTZ4ggBcnrfWIzsbw0aOdDiVZtjjj6NHdrbD+W2CIAiexl1TAXVQNh2h4lxYg8FAMj3B26hVcTtixAjs27dPdxbBCQwGA6KnTIGxUSOHf2i+jRohesoUz4QTBAe4ayqNIAiCbjidv3rl5CB26FDkFxWhYs8ApRTyCwsRO3Ronb6QUKtuCT4+PtixYwduvfVWikxuxRPdEsxmM3x9fdl0S9CRl9rJzcspqy7vLcuWYefgwTV63rdJSbV6DcC7x8AdTm5eTlmpvJyycvPqcPbOzcW5n3+u0fnrxx9/dOkbUznXVk296pZwww03wGAwVLqNGTPG09GqpPjKRHQdhCck2E9PuDIdoXxrElfRmZfSyc3LKasO77dJSXZbNlakbAtHV062ZXjrGLjLyc3LKSuVl1NWbl4dTndOBZRzrevUurj9888/deaoNd999x3+/PNP2+3LL78EcLm5sDdiNpuxadMmbasLbdMTrrTj0D0dQXdeKic3L6esurxlWzY66oloMBjQuHFjLVs4evMYuMPJzcspK5WXU1ZuXl1Od00FlHOtHmq9Q1liYiICAgIQGxuLTp062d2aNGmiM2O1hIeH2/38yiuvoHXr1ujZs6fbMniCitMNFs2dizFjxiAzMxND4+M9E0oQrkJERATmzJmD5ORku/uVUpgzZ47XbeEoCIJQhl/TpoiZMqXyVEClED11KvyaNvVMMAfU93Ntra/cTpgwAY899hgCAgKwYsUKjB07FvHx8QgLC0NkZCTuu+8+TJ48GZ988onOvNVy6dIlfPzxx3jssceqnP9RUlKCwsJCu1tdYPDgwZg/fz4GDRrk6SiCUC1Dhgyx+8qs7CsynTvn1HeWLl2KESNGYNmyZZ6OIgh1CndMBdRFfT7X1rq4TUpKwqxZs/DVV1/hzJkzOHr0KNasWYP09HTccccdOHLkCF577TUMGzZMZ95qWbVqFfLz8zFixIgqnzNjxgyEhITYbpGRkW7LV4avb60vmNcZL6esVF5OWXV6y74yCwoKAgAEBwdr+YqsPN4+BpROk8mEtLQ05OfnIy0tTXvLHw5jwNHLKSs3r04n9VRAQM61OiDtlnDp0iXs27cPcS6u2K8pffr0gZ+fH9asWVPlc0pKSlBSUmL7ubCwEJGRkW7rliAIwmWysrIwduxYzJo1y2vnyFOjewyUUkhKSsKnn34Ki8UCo9GI/v37Y/ny5RrSCkL9xFHLLNP69Tg0cybaPPMMIu65x3a/qx2KKKgr51qv6Zbg5+fntsL2yJEj2LBhAx5//PFqn+fv74/GjRvb3dyJ1WqFyWSC1Wqtt15OWam8nLJSeQcNGoTdu3cjScOK3fJQjcEnn3yCiIgILFmyRIvPZDJh1KhROHHiBEaNGqXlCiv1jkTytyBjwM1LlTXinntwyxdfIOLuu7V65Vyrh1oVt7t370Z0dLTuLC7xwQcfICIiAvfdd5+no1SLxWLB9u3bbW8+9dHLKSuVl1NWKi+nrGW7/Zw6dQopKSkuF6Jle76X7fTo6p7v7tr9rb4fB1ReTlm5eamyKqVQWFhYaZMEV+E0BlReHdSquO3YsSNCQ0M1R6k9VqsVH3zwAR555BGvnf8hCAJPdBeigP4rrO7aPUkWqgmCwIE6UQlu2LABR48exWOPPebpKIIg1AHKX+E0rVuHfStX2n4uK0RjZ850ehfA3rm5uJSXh2/KrrCWL0SvXGH9V1gY/Jo2dcp7/vBhnM7OrvoJVitOZ2fj/OHDQC2nipUtVCsoKEBaWhruuuuuOt9OSBAEntSJ4jYhIUH7VwNUGAwGh42V65OXU1YqL6esVF4OWS/l5eFAerrDQvTg9OkI7dbNKV9Nr7B2eO01p7xluyed3rwZcPQVodGIsJ49Edi6dY2d5Qt8pRT2TpiAgitXr/OLihA7dKgtpyuLaDgcB9ReTlm5eXU4HR3fZrMZW7ZswZ2dOmnvxuCNY+BOrw5q1S2hLuHM6jtBEOoHvXNzbQVdlQWjjw/CevXCqY0ba+yl2vPddkV4wABYzp2rVIj7BgXh1lWrnLoiXOnqdcXG9QDaZ2Q4ffVaEAShNnhNt4QXX3wR8+bNw8WLFylfhhVWqxVHjhwhWWXKxcspK5WXU1Yqr7dntX3VX9ViiStf9e/du7fGzpruT+/MFdYyynZPcnRF2JXdk+yuXpfnytXrS3l5tfKW4e3HgTu8ujtxlMFpDKi8nLJSeTll1QVpcfv8889j9OjRaNmyJTIyMihfig0WiwW5ubkkqxa5eDllpfJyykrl9fasNS1EY2Nja+yk2p9+U1wcNsXF4ceJEx3uSLR34kTbc5zBHQvVvP04oPD2zs213XpkZ2P4yJE4deoUho8caetqUXbzdFbuXk5ZqbycsuqCtLj99ddf8eOPPyI9PR0//fQT5UsJgiBohaIQ3RQXh63x8Vg4b57DYnHhu+9ia3x8rb/m170jEcXVa+F/2D48FBcDAMwXLmjpaiEI9R3S4rZly5Zo3749Hn/8ccyfP5/ypQRBELRD9VU/5Z7vERERyMzMRGhoKDIzM13qaEBx9Vr4H6fWr7f/8GCx4HR2Nkzr13s2mCAwR9sSP7PZLD1ma4DBYEB4eDjJqkUuXk5ZqbycslJ5vTlr+SunqnNnJH3zTeUtbSdOdCnjnDlzkJ2djYKCAu17vg8ZMgQ33HDDVbdIvxplV6/Pfved44VqtZxGUfE1vPU4oPTWpBNHbT886c7K2cspK5WXU1ZduNwtYdOmTRg1ahR++eUXBAcHo1OnToiLi7PdOnToAD8/P115tSPdEgRBuBomkwkxMTHIz89HkyZNsH//fi09Xr15z3fplkBHr5ycGnXi6PDaazK2gnAFt3ZLGD16NPz8/PDvf/8bU6dORatWrbBlyxakpqaiW7duCA4OdvUl6hQWiwX79+8nmdjNxcspK5WXKusnn3yC8PBw7auuOY0BhTciIgKzZ89GWFgYZs+erW3zgqSkJGzatAmJiYlafGXoHoPwhAT76QlXpiNEJCS47OZ0HOjy1nQu8/nDh2v9GoB3j4G7vJyyUnk5ZdWFy8Xtn3/+iddffx2pqamYMGECFixYgNzcXJw7dw67du3CO++8oyNnncFqteLAgQMkLTm4eDllpfJSOE0mE1JSUnD69GmkpKTAZDJpc3MZA0pvUlIS3n33Xa2FqDePQVl3hU1xcfiqSxfsXbwYIVcWqoUGB2Pv4sW16sBAkdURS5YsQffu3Wu9pXFV6MhL2RKuPN58fLnLyykrlZdTVl24XNzefvvtDt9EGzRogC5duuCRRx5x9SUEQbgKSimkpKTg3JUdpIqKipCamurhVEJdQudCNWrKtgrOz89HWlqa1g96OqBqCScIwmVcXgGWkZGB4cOH4+6778a1116rI5MgCDWkbF6kad067Fu50na/xWLBihUrEDtzpsyJFLQxePBgBAYGol+/fp6OUomyv4WrbRUMuLZdsC7KOnFUmsvsYicOQRA0XLmNjY3F7bffjo4dO2LSpEnYsGEDzpw5oyNbncTHxwdRUVHw8dHbhY2Tl1NWKq9OJ/UOUoD3jwFXL6esVF7dTur2WjrzUs5lBngdB1ReTlmpvJyy6sLlbglDhw7FkiVLcM0116C4uBgFBQUwGAxo0aIFunTpgi5duuCFF17QlVc70i1B4ExNV12f2rjR/eEEwY30zs3Fpbw8fDNggOO2ZUFBuHXVKvg1berxK7flO1HYMhcVwTc42JaxDE9nFQRvwa3dEtasWYOXXnoJx48fx9mzZ3HkyBGsXLkSI0eOhNFoxEcffeTqS9QpLBYLcnJySFYtcvFyykrl1eV01w5S3jwGnL2cslJ5dTndsVUwoH8M/Jo2RfSUKfBt2lT7dAROxwGVl1NWKi+nrLpwubgNCwuzaxQeGRmJBx54AP/4xz+wcuVK/PLLL66+RJ3CarXi6NGjJKsWuXg5ZaXy6nK6awcpbx4Dzl5OWam8upzuaq+lI2/5ThSb4uKwe/x4LHv/feQ+9VSlxzydlbuXU1YqL6esunC5uB01ahSWL1+uI4sgCE4iq64F4TLuaq8lCIL343Jxe+HCBaxduxbPPPMM8vPzNUQSBMEZylZdO/oqVlZdC/UF+aAnCEIZLhe3CxYswNGjR/Hqq6+iefPm+Mtf/oLU1FTMnTsX3377LS5evKgjZ53Bx8cHMTExJKsWuXg5ZaXy6na6Y9W1t48BRy+nrFRenU53fNDz9jEQL72Tm5dTVl243C0BAPLy8rB792672759+3Dp0iUYjUaUlpbqyEqCdEsQOFPTVdey4lqo61Tsc2vrIGI0IqxnT6/rcysIgnM4Va8pIkpLS9UPP/ygPv74Y6qX0EJBQYECoAoKCtzyeqWlpWrr1q2qtLS03no5ZaXyUmVdtGiRatq0qVq8eLFWL6cx4OTllJXKS+E8efKkCgkJUQBUaGioOnnypDY3lzEQL52Tm5dT1upwpl5zeYeyqvD19UXHjh3RsWNHqpdgiVIKp06dgnL9gjlbL6esVF6qrIMGDUKjRo207yDFaQw4eTllpfJSOMu2Ch4zZoz2rYK5jIF46ZzcvJyy6qLGEyUWL16MG2+8EWvXrq3yOWvXrsWNN96IZcuWaQlXU/744w8MHz4czZo1Q0BAADp27IidO3e6NYMgCILgPQwePBjz58/HoEGDPB1FEAQ341Rxm5+fj/j4+Cqf07t3b5w9exYLFy7UEq4mnD17Fj169ECDBg3wn//8B/v27cNrr72GJk2auC2DIAiCIAiC4B3UeFrCDz/8gE6dOsHPz6/K5/j7+6Nz587YvXu3lnA1ISMjA5GRkfjggw9s97Vq1cptr+8sRqMRcXFxMFbVi7EeeDllpfJyykrl5ZSVysspK5WXU1YqL6es3LycslJ5OWXVRY27JTRs2BBJSUlXvSo7bNgwrFy5EhcuXNAS8Gq0b98effr0we+//47NmzfjuuuuQ1paGkaOHOnw+SUlJSgpKbH9XFhYiMjISOmWIAiCIAiC4KU40y2hxtMSGjVqhDNnzlz1eWfOnKn26q5ufvnlF8yePRtt2rTBunXrkJqaiieffBILFixw+PwZM2YgJCTEdouMjHRbVgAwm83Izs6G2Wyut15OWam8nLJSeTllpfJyykrl5ZSVysspKzcvp6xUXk5ZdVHj4jY2NhZbt25FXl5elc/Jy8vD119/jbZt22oJVxOsViu6du2Kl19+GV26dMGoUaMwcuRIzJkzx+HzJ0+ejIKCAtvt2LFjbssKXF5dWFRURLJqkYuXU1YqL6esVF5OWam8nLJSeTllpfJyysrNyykrlZdTVl3UuLhNSkrC+fPnMXz4cIdTDoqLi/HQQw+huLjYratTr732WrRv397uvnbt2uHo0aMOn+/v74/GjRvb3QRBEARBEIS6QY0XlI0ePRrz5s3DunXrEB0djQcffNB2hXb//v1YvHgxjh8/jpiYGKSlpZEFrkiPHj1w4MABu/sOHjyIli1bui2DIAiCIAiC4CVUtbuDI44dO6a6deumDAaD8vHxsbsZDAbVtWtXdeTIEWeULvPtt98qX19flZ6erg4dOqQWLlyoGjVqVOOd0dy9Q5nFYlEnT55UFoul3no5ZaXycspK5eWUlcrLKSuVl1NWKi+nrNy8nLJSeTllrQ5n6rUad0soVwxjzZo1WLt2LY4cOQIAiIqKwr333osHHngABoOBoASvns8++wyTJ0/GoUOH0KpVK4wfP77KbgkVcWqvYkEQvJ6srCyMHTsWs2bNwuDBgz0dRxAEQdCAU/UadaXt7bj7yu2lS5fUZ599pi5dulRvvZyyUnk5ZaXy6nL2ysmx3W7fuFEZg4IUAOUbHKxu37jR9pi35KV2cvNyykrl5ZSVm5dTViovp6zV4Uy9VuMFZYI+qNpmcPJyykrl5ZSVyqvTqZTCwfR0WIqLL7svXMDB9HRtfsD7x4Crl1NWKi+nrNy8nLJSeTll1YEUt4Ig1AlOrV+P09nZgMVy+Q6LBaezs2Fav96zwQRBEAS3IsWtIAjsuZSXhwPp6UDFOf8GAw5On45L1fTnFgRBEOoWTi8oq2u4e0GZutL0ODg4WOviO05eTlmpvJyyUnl1OXvl5GDvhAk4vXnz/67alsfHB2G9euHUxo0upPXuMeDs5ZSVysspKzcvp6xUXk5Zq4Nk+11BD1lZWYiOjsbSpUu1uwMCArQ7qbycslJ5OWWl8upwnj982H46QkWsVpzOzsbevXtdfi1vHQPuXk5ZqbycsnLzcspK5eWUVQdS3LoRk8mE0aNH4+TJkxg9ejRMJpM2t9lsxhdffEGyd7RuL6esVF5OWam8upyBrVsjLD4eMBodP8FoRFh8PGJjY116HW8eA85eTlmpvJyycvNyykrl5ZRVF1LcugmlFFJSUnDu3DkAQFFREVJTUz2cShD4YzAYED1lCoyNGjmcc+vbqBGip0zxTDhBEATB7Uhx6yaysrKwcuVKWK58dWqxWLBixQpkZWV5OJkg8MevaVPETJkCVFxCoBSip06FX9OmngkmCIIguB0pbt2AyWRCSkpKpQnXBoNB+/QEQaivhCck2E9PuDIdISIhwbPBBEEQBLci3RKIuyXUdCV3h9dew6a4uFq/jlIKZrMZvr6+2ldD6vZyykrl5ZSVykvhNJlMiImJQX5+PkJDQ3HgwAFERERocXMZA25eTlmpvJyycvNyykrl5ZS1OqRbghfx7wYNarSS+98NGrj8WsVXdmbSDYWXU1YqL6esVF7dzoiICMyZMwcRERGYO3eutsK2DA5jwNHLKSuVl1NWbl5OWam8nLLqQIpbYmJjYzFw4EAYq1jJbTQakZiYqGUl96ZNm0hWQ+r2cspK5eWUlcpLlTUxMRHvvPMOBg4cqNXLaQw4eTllpfJyysrNyykrlZdTVl1IcUuMwWDAnDlzHDY5NhgMaNy4MWbPnu2hdEJNWLp0KUaMGIFly5Z5OorHkDEQBEEQuCDFrRso+6q04vRmpZTtK1TBOzGZTEhLS0N+fj7S0tLq5eI/GQNBEASBE1LcuokhQ4bYTU8om44wZMgQba/h6+urzUXt5ZCVujexjAGPMaD2cspK5eWUlcrLKSs3L6esVF5OWXUg3RKIuyWUp/xK7iZNmmD//v1y1dbL6J2ba/u3ad067Js0qdJz2mdkICIhwaXuFlxYsmQJkpOTHd6v84OZIAiCIFSHdEvwUiIiIjB79myEh4dj9uzZWgtbq9UKk8kEq9WqzUnl5ZD1Ul4eDqSnO9zx6uD06biUl+eS35vHoHduLnrn5qJHdjaGjRzpcAyGPf44emRnezwrdy+nrFReTlmpvJyycvNyykrl5ZRVF1LcupmkpCTMmzcPiYmJWr0WiwXbt2+37YDmzV5vz6qUwsH0dFguXHC445X5/HkcTE936TVkDLx/DNzh5ZSVysspK5WXU1ZuXk5ZqbycsupCiltBqMD5w4dr1Jt479697g3mRmQMBEEQBK5IcSsIFQhs3dp+G9eKXNnW1dXexN6MjIEgCILAFfbF7fPPPw+DwWB3a9u2radjVYnBYHDY87Y+eb09q8FgQPSUKTA2auRwvqlvo0aInjLF5dfw1jHYFBeHr7p0wd7FixFaRX/mJo0bY+/ixR7Pyt3LKSuVl1NWKi+nrNy8nLJSeTll1QX7bgnPP/88li1bhg0bNtju8/X1RVhYWI1+353dEgTvR7ol2CPdEgRBEARvoN51S/D19cU111xju9W0sPUEVqsVR44cIVm1yMXrzVk3xcXZbj9OnOiwN/HeiRNdLmy9eQzKQ9mfmcsYUHo5ZaXycspK5eWUlZuXU1YqL6esuqgTxe2hQ4fQokUL3HjjjRg2bBiOHj1a5XNLSkpQWFhod3MnFosFubm5JKsWuXi5ZC3bOjkoKAgAEBwcrG2rZBkDPmNA6eWUlcrLKSuVl1NWbl5OWam8nLLqgn1xe9ttt2H+/PlYu3YtZs+ejV9//RV33HEHioqKHD5/xowZCAkJsd0iIyPdnFjgREREBDIzMxEaGorMzMx6uemGjIEgCILACe/cN80J+vbta/t3p06dcNttt6Fly5bIysrCX//610rPnzx5MsaPH2/7ubCwUApcoVoGDx6MwMBA9OvXz9NRPIaMgSAIgsAF9sVtRUJDQxEdHY2ff/7Z4eP+/v7w9/d3c6r/YTAYEB4eTrJqkYuXU1YqL6esVF5OWam8nLJSeTllpfJyysrNyykrlZdTVl2w75ZQkXPnziEqKgrPP/88nnzyyas+X7olCIIgCIIgeDf1qlvChAkTsHnzZvz222/Ytm2bbWX30KFDPR3NIRaLBfv37yeZ2M3FyykrlZdTViovp6xUXk5ZqbycslJ5OWXl5uWUlcrLKasu2Be3v//+O4YOHYqYmBgMGTIEzZo1w44dOxAeHu7paA6xWq04cOAASUsOLl5OWam8nLJSeTllpfJyykrl5ZSVysspKzcvp6xUXk5ZdcF+zu0nn3zi6QiCIAiCIAiCl8D+yq0gCIIgCIIglCHFrZvx8fFBVFQUfHz0Dj0nL6esVF5OWam8nLJSeTllpfJyykrl5ZSVm5dTViovp6y6qHPdEpxFuiUIgiAIgiB4N/WqWwI3LBYLcnJySFYtcvFyykrl5ZSVysspK5WXU1YqL6esVF5OWbl5OWWl8nLKqgspbt2M1WrF0aNHSVYtcvFyykrl5ZSVysspK5WXU1YqL6esVF5OWbl5OWWl8nLKqgspbgVBEARBEIQ6gxS3giAIgiAIQp1Bils34+Pjg5iYGJJVi1y8nLJSeTllpfJyykrl5ZSVysspK5WXU1ZuXk5ZqbycsupCuiVItwRBEARBEASvRroleDFmsxnbtm2D2Wyut15OWam8nLJSeTllpfJyykrl5ZSVysspKzcvp6xUXk5ZdSHFrZtRSuHUqVPQfcGck5dTViovp6xUXk5ZqbycslJ5OWWl8nLKys3LKSuVl1NWXUhxKwiCIAiCINQZpLgVBEEQBEEQ6gxS3LoZo9GIuLg4GI3GeuvllJXKyykrlZdTViovp6xUXk5ZqbycsnLzcspK5eWUVRfSLUG6JQiCIAiCIHg10i3BizGbzcjOziZZtcjFyykrlZdTViovp6xUXk5ZqbycslJ5OWXl5uWUlcrLKasupLh1M0opFBUVkaxa5OLllJXKyykrlZdTViovp6xUXk5ZqbycsnLzcspK5eWUVRdS3AqCIAiCIAh1BiluBUEQBEEQhDqDLChz84Iyq9WK06dPIywsTOt+zJy8nLJSeTllpfJyykrl5ZSVysspK5WXU1ZuXk5ZqbycslaHM/WaFLfSLUEQBEEQ6iRZWVkYO3YsZs2ahcGDB3s6juAC9bZbwiuvvAKDwYBx48Z5OkqVlJaW4vPPP0dpaWm99XLKSuXllJXKyykrlZdTViovp6xUXk5ZOXlNJhNGjRqFEydOYNSoUTCZTFq8AJ8xoHJSenVQZ4rb7777DnPnzkWnTp08HeWqULXN4OTllJXCu3TpUgwfPhzLli3T6gX4jAGVk5uXU1YqL6esVF5OWTl4lVJISUnBuXPnAABFRUVITU3V4i7D28eA2knpdZU6UdyeO3cOw4YNw7x589CkSRNPxxGEajGZTEhLS0N+fj7S0tK0Xk0QBEEQLk9HWLlyJSwWCwDAYrFgxYoVyMrK8nAywR3UieJ2zJgxuO+++3D33Xdf9bklJSUoLCy0uwmCu3DH1QRBEIT6jMlkQkpKCgwGg939BoMBo0ePlgsK9QHFnMWLF6sOHTqo4uJipZRSPXv2VGPHjq3y+dOmTVMAKt0KCgrcktdqtaqCggJltVrrrZdTVt3eTz75xOHxt2TJEg1JeYwBpZObl1NWKi+nrFReTlm93dvz++9VWHy8gtHo8FwLHx8VFh+veuXkeDyru7ycslZHQUFBjes11ldujx07hrFjx2LhwoVo2LBhjX5n8uTJKCgosN2OHTtGnLIyAQEB9d7LKasur7uuJnjzGLjDyc3LKSuVl1NWKi+nrN7sPX/4ME5nZwNXpiNUwmrF6exsnD982KXXAbx3DNzlpPS6CuvidteuXTCZTOjatSt8fX3h6+uLzZs3Y9asWfD19bXNtSmPv78/GjdubHdzJ2azGV988QXJHs9cvJyy6vKqK9MRHG1VqK5sYahjeoI3j4E7nNy8nLJSeTllpfJyyurt3sDWrREWHw8YjY6fYDQiLD4ega1b1/o1AO8eA3c4Kb068PV0AFe46667sGfPHrv7Hn30UbRt2xbPPPMMjFUd3ILgZm5dvhw7V66s8vGyxQ63Ll+Ob5OS3JhMEASh7vBVly4wLV6MmJgYFBQU2F1MMBgMCG3cGHsXL0ZERIQHUwrUsL5yGxwcjA4dOtjdAgMD0axZM3To0MHT8QTBxrdJSRg4cGCVH7iMRiMSExOlsBUEQXCRiIgIzJkzx+G3ZHPmzJHCth7AurgVBC4YDAbMmTMHwcHBDufcNm7cGLNnz/ZQOkEQhLrFkCFD7C4olF1AGDJkiIeTCe5Att918/a7SimYzWb4+vpWKnLqi5dTVt3eJUuWIDk52eH9Ok66HMaA0snNyykrlZdTViovp6ycvCaTCTExMcjPz0doaCgOHDig7aotlzGgclJ6q6Lebr/LheLi4nrv5ZRVp9cdVxO8fQyondy8nLJSeTllpfJyysrFWzY9ISIiAnPnztU+HYHDGFA6Kb2uIsWtmzGbzdi0aRPJqkUuXk5ZdXvLpicEBQUBuDxvXOd0BA5jQOnk5uWUlcrLKSuVl1NWbt7ExES88847GDhwoDYnwGsMOGXVhRS3guBmIiIikJmZidDQUGRmZsriBkEQBEHQCOtWYILAlcGDByMwMBD9+vXzdBRBEARBqFPIlVsP4OtL85mCk5dTViovp6xUXk5ZqbycslJ5OWWl8nLKys3LKSuVl1NWHUi3BDd3SxAEQRAEQRCcQ7oleDFWqxUmkwlWq7XeejllpfJyykrl5ZSVysspK5WXU1YqL6es3LycslJ5OWXVhRS3bsZisWD79u2wWCz11sspK5WXU1YqL6esVF5OWam8nLJSeTll5ebllJXKyymrLqS4FQRBEARBEOoMUtwKgiAIgiAIdQYpbt2MwWBAcHCw9q3qOHk5ZaXycspK5eWUlcrLKSuVl1NWKi+nrNy8nLJSeTll1YV0S5BuCYIgCIIgCF6NdEvwYqxWK44cOUKyapGLl1NWKi+nrFReTlmpvJyyUnk5ZaXycsrKzcspK5WXU1ZdSHHrZiwWC3Jzc0lWLXLxcspK5eWUlcrLKSuVl1NWKi+nrFReTlm5eTllpfJyyqoLKW4FQRAEQRCEOoMUt4IgCIIgCEKdQYpbN2MwGBAeHk6yapGLl1NWKi+nrFReTlmpvJyyUnk5ZaXycsrKzcspK5WXU1ZdSLcE6ZYgCIIgCILg1Ui3BC/GYrFg//79JBO7uXg5ZaXycspK5eWUlcrLKSuVl1NWKi+nrNy8nLJSeTll1YUUt27GarXiwIEDJC05uHg5ZaXycspK5eWUlcrLKSuVl1NWKi+nrNy8nLJSeTll1YUUt4IgCIIgCEKdgX1xO3v2bHTq1AmNGzdG48aN0b17d/znP//xdCxBEARBEATBA7Avbq+//nq88sor2LVrF3bu3In4+Hj0798fe/fu9XQ0h/j4+CAqKgo+PnqHnpOXU1YqL6esVF5OWam8nLJSeTllpfJyysrNyykrlZdTVl3UyW4JTZs2xauvvoq//vWvV32udEsQBEEQBEHwbupttwSLxYJPPvkE58+fR/fu3R0+p6SkBIWFhXY3d2fMyckhWbXIxcspK5WXU1YqL6esVF5OWam8nLJSeTll5ebllJXKyymrLupEcbtnzx4EBQXB398fKSkpWLlyJdq3b+/wuTNmzEBISIjtFhkZ6dasVqsVR48eJVm1yMXLKSuVl1NWKi+nrFReTlmpvJyyUnk5ZeXm5ZSVysspqy7qRHEbExOD3NxcfPPNN0hNTcUjjzyCffv2OXzu5MmTUVBQYLsdO3bMzWkFQRAEQRAEKnw9HUAHfn5+uOmmmwAAN998M7777jv861//wty5cys919/fH/7+/rafy6Ycu2t6QmlpKS5cuIDCwkI0aNCgXno5ZaXycspK5eWUlcrLKSuVl1NWKi+nrNy8nLJSeTllrY6yOq0mS8XqRHFbEavVipKSkho9t6ioCADcPj1BEARBEARBcI6ioiKEhIRU+xz2xe3kyZPRt29fREVFoaioCIsWLcJXX32FdevW1ej3W7RogWPHjiE4OBgGg4E47eVPHpGRkTh27JjW7gycvJyyUnk5ZaXycspK5eWUlcrLKSuVl1NWbl5OWam8nLJWh1IKRUVFaNGixVWfy764NZlMePjhh/Hnn38iJCQEnTp1wrp163DPPffU6Pd9fHxw/fXXE6esTNmmE/XZyykrlZdTViovp6xUXk5ZqbycslJ5OWXl5uWUlcrLKWtVXO2KbRnsi9v33nvP0xEEQRAEQRAEL6FOdEsQBEEQBEEQBECKW7fj7++PadOm2XVsqG9eTlmpvJyyUnk5ZaXycspK5eWUlcrLKSs3L6esVF5OWXVRJ7ffFQRBEARBEOoncuVWEARBEARBqDNIcSsIgiAIgiDUGaS4FQRBEARBEOoMUtwKgiAIgiAIdQYpbgVBEARBEIQ6A/tNHAQ+nD59GgAQFhbm4SSe5ezZs1BKoWnTpjh16hT++9//IiYmBrGxsZ6Oxpri4mLk5eXhuuuus7t/7969MraCUM+gOs966/m7sLCwRs+rzU5ilG4q5MqtmyguLsYff/xR6f69e/d63Ovj4wOj0Vjtzde3dp+D8vPzMWbMGISFhaF58+Zo3rw5wsLC8MQTTyA/P79Wzqsxffp0lx2nT5+2FeM6effdd3HzzTejW7dumD17NgYOHIiNGzciOTkZ7777bq2cf/zxB2bNmoUnnngCTzzxBN566y2Hx8TVoDoOtm/fjs8++8zuvg8//BCtWrVCREQERo0ahZKSEqe95Vm2bBnatGmD++67D506dcI333xje+yhhx6qtZfqOBCE8shxpheK8yylF7hcNOfl5QEATp06hRUrVjj1Ph4aGoomTZpUeSt7vDZQuqmQPrduYNmyZRg3bhzCwsJgtVoxb9483HbbbQCArl274vvvv/eod/Xq1VU+tn37dsyaNQtWqxUXL150Kl9eXh66d++OP/74A8OGDUO7du0AAPv27cOiRYsQGRmJbdu2ufRHMXHiRLuflVJ49913MXLkSADAzJkza+zKz8/HlClTsGTJEpw9exYA0KRJEyQnJ2P69OkIDQ2tdc4yygqv4uJiREVF4ddff0V4eDgKCgrQs2dP5ObmOuXLzMzE+PHjcenSJdun5sLCQvj5+eH1119HWlpajV1Ux0Hfvn3Rq1cvPPPMMwCAPXv2oGvXrhgxYgTatWuHV199FaNHj8bzzz/vlLc8cXFxWLduHZo3b45du3bhkUcewbPPPosHH3wQXbp0QU5OTo1d7jgOdGM2m/HGG29g8eLFOHjwIAAgOjoaDz74IMaOHYsGDRrU2v3HH39g+fLlNm9MTAwSExMrXSF3hYsXL2LJkiU4f/487rnnHrRp06bWLuq8urJyPM64oPs8S+1999138fLLLwMAnn76aSxcuBCdO3fGli1bMHbsWDz++ONXdWzevNn2b6UU+vXrh3fffbfScd+zZ0+n81G6yVACOZ07d1YnTpxQSim1c+dOFRsbqxYuXKiUUiouLs7rvEoptX//fjVgwABlNBrVww8/rH777TenHWPHjlUdOnSwZSzPn3/+qTp27KjGjRvnUs6WLVuq5ORktWDBAjV//nw1f/58FRYWZvt3TTlz5oyKjo5WgYGBatSoUeqNN95Qb7zxhho5cqQKDAxUbdu2VXl5eS5lVUqpLl262P7duXNnu8ec/X/22WefKaPRqP7+97+r48eP2+4/fvy4euqpp5Svr6/6/PPPXcqr4zi45ppr1HfffWf7+dlnn1U9evSw/ZyVlaXatWvnUs727dvb/XzmzBl15513qhdeeMFuzK8G9XFwww03qFatWlV7u/HGG51yXrhwQfXo0UP5+PiohIQENXbsWDV27FiVkJCgfHx81B133KGKi4trlfftt99W/v7+ymAwqJCQEBUSEqIMBoPy9/dXb7/9dq2cTz31lHriiSdsP5eUlKi4uDjVoEEDFRISogIDA9W2bdu8Ii9VVqrjjOL4Cg0NVU2aNLnqzVmovErpPc+6w9uxY0d14cIFdebMGRUYGKhMJpNSSqn8/PxKr1NTgoKC1OHDh2udyVNuXUhx6wZ0vfG6w/vHH3+oxx9/XDVo0EDdf//9as+ePbXO17JlS7V27doqH//Pf/6jWrZsWWu/Upff2KdMmaIGDRqkDh06pJRSqlWrVk573FGIK6VUt27dbIVGfn6+7f6ioiKnT449e/ZUU6ZMqfLxKVOmqJ49e9Yqp87jwN/fXx09etT2c48ePdT06dNtP//6668qKCio1n6llOrVq5favXu33X0lJSUqOTlZGY3GGnuoj4M333yzytu4ceNUQECA8vHxccr5j3/8Q0VFRVX671dKqdzcXBUVFaWmTZvmdFaqD0+xsbFq9erVtp/ff/991aRJE/Xbb78pq9WqRowYofr16+cVeamyUh1nFMdX2YWC+fPnqw8++EA1bNhQzZw50+5+Zy4kUHuV0nuedYeXomiW4lYgR9cbL6U3Pz9fTZw4UQUEBKju3burLVu21DpXGX5+furYsWNVPn7s2DHl7+/v8usopdShQ4dU//791dNPP62ioqKc/n13FOJKXR5nq9Va6f6TJ0+qb7/91ilXcHCw2r9/f5WP79+/XwUHBzudT/dxEBUVpTZv3qyUunx8BgQEqA0bNtge/+GHH2p9haaMY8eOqT///NPhY19//XWNPe46Dspz5swZNW7cOOXv76/uvPNOtX37dqd+Pzo6Wi1btqzKx7OyslSbNm2czkX14Sk4ONj2QVQppZKTk9XIkSNtP+fk5Khrr73WaS9FXqqs7jzOXD2+KkJV2Oj06jzPVvRaLBbtXoqiWYpbgRxdb7xU3oyMDNW0aVPVvn17tWrVqlrnqUiLFi3Uf//73yof37JlS63eGKpj9erVavLkyU7/njsLcV00atSo2hPM4cOHVaNGjWrsozoOUlJSbIXy+PHjVbNmzVRJSYnt8Y8//lh169bNpdc4deqUOnXqlKtR3XocXLhwQU2fPl2Fhoaqzp0713oKScUr4xU5evRorTJTfHhSSqmQkBB18OBB28833HCDeu+992w///rrr6phw4ZOeynyUmV1x3Gm6/iqCIfilgpd55mKUBTNQUFB6pdffnE1mtvdupBWYARUbJtRfqFPxft79OhR69e5/vrrq3zMGe+kSZMQEBCAm266CQsWLMCCBQscPm/FihVO5evTpw+mTJmCL7/8En5+fnaPlZSU4LnnnsO9997rlDM7OxtPPPEEduzYUantSEFBASZPnozZs2c75QQutyf77bffqhzTX3/9FU2bNnXaS9lCJTY2FqtXr8ZTTz3l8PFVq1Y51Z6G6jh46aWXkJiYiJ49eyIoKAgLFiywOx7ef/99JCQkOOUEaBbkUB0H5bFYLJg3bx5eeOEFNGzYELNmzcLw4cNhMBhq5WvcuDFMJhMiIyMdPn7ixAkEBwfXKmd1C9EaNGgAi8XitLddu3ZYs2YNxo8fj7179+Lo0aPo3bu37fEjR46gefPmXpGXKivlcab7+OIA5XnWHQv/SktLkZeXV6lNZkREBCIiImrkSExMtPv54sWLSElJQWBgoN39zp6/qd1USHFLQGhoaLUnEqUUDAaD0ydaHx+fq56gDAYDzGazU96HH36Y5MT34osvolu3bmjTpg3GjBmDtm3bQimFn376CZmZmSgpKcFHH33klPPNN9/EyJEjHZ6kQkJCMHr0aLzxxhu48847nfJSFOIA3bEAAGPGjEFqair8/f0xatQoW5sus9mMuXPnYurUqcjMzKyxj+o4CAsLw5YtW1BQUICgoCAYjUa7x5ctW1bpJHk1quvEMX/+fGzcuLFWnTiojoMysrKyMHXqVNsbZmpqaqXXcZbevXvj5ZdfxvLlyx0+/sorr9gVZDVF94enMiZOnIjk5GR8/vnn2Lt3L/r164dWrVrZHv/iiy9w6623ekVeqqxUxxnF8cUBqvMs1XkG0F80h4SE2P08fPhwpzN5wk2FtAIjgKptBlWrJkp+/fVXpKWlYf369Sg71AwGA+655x78+9//xk033eSUr2XLlli7dq3tJFOR/fv3IyEhAUePHnXK+/vvv6Nbt27w9/evshDfuXNnlVfHqoK6hcqECRPw+uuvIzg4GK1bt4ZSCr/88gvOnTuHJ598Em+88UatvDq52tX222+/HXPmzMEdd9xRY+e4ceOwceNGbNiwodKVsxMnTiAhIQF33XWX0//9VMdBGT4+PggICMDQoUOrvYr0+uuv19i5b98+3HbbbYiNjcX48ePtMr/xxhvYt28fduzY4XRht2DBAqSmpuKf//ynww9PTz/9NDIzMzFixAinvACwceNGfPbZZ7jmmmvwt7/9DY0aNbI99sILL6Bnz57o1auXV+SlyEp1nFEcX+PHj7f7+e2338bw4cMrFTzOOHV7qc6zVOcZd7TJrO9IcesGgoODsXv3btx4443a3QcOHMCkSZOwZs0aDBs2DC+++CJatmyp/XVc5ezZszh06BAA4Kabbqr1V24NGzbEjz/+WGVR/PPPP6Njx44oLi522q27EHcExbGwY8cOLF682Da+0dHRSE5Oxl/+8henPBRFKAA88MAD6N27d5VX1GbNmoVNmzZh5cqVNXbecMMNmDt3Lvr06ePw8bVr1yIlJQW//fabU1kB2uOgV69eNfr2JTs72ynvjh078Ne//hU//fSTza+UQtu2bfHee++he/futcrL4cNTeTjl/eWXXzBmzBitxxnF8VWTq/61OWapvIC+8yzVeYaqaBbK4cb5vfUWionyOls1OSIvL0+dOXNGKaWUyWRSy5cvVz/++KPW16gNN954o1q5cmWVjy9fvrxWrcDKk5eXp7755hv1zTff2MZAF968aOL//t//q15//fUqH//Xv/6lBgwY4LQ3KipK7du3r8rHf/rpJxUZGemU0x0LciiPAypycnLUkiVL1JIlS1ROTo4W5/bt29WTTz6p+vbtq/r27avGjh3r0or7I0eO1OjmDXkPHjyokpOTVUFBQaXH8vPz1dChQ13+e+Z4nHk7us6zVOcZd3XLoHwf99YaoQwpbt2A7hYnuls1VWTevHm2ht+ZmZmqR48eKi0tTXXo0EHNmzfPJberfxBPPPGE6tChg8Om9BcuXFAdOnRQf/vb31zKWN73+++/V7rflT9gnceC7iKBoghV6vJq/vLtlCpy6NAhp1ecu7MTh+7joKCgwOHKaIvF4rCI8pSTCoPBoHx8fCrdyt/vSotEnYwcOVI9/fTTVT4+ceJElZKS4rTXbDar3bt3qwsXLlR67Pz582r37t0O/3/WBHcdC6WlpaqoqEibT6dX13mW6jzjjg/nlO/jlG5dSHHrBnS1zaBq1VQRit1SlNLzB3HixAnVokULFRkZqTIyMtSqVavUqlWr1CuvvKIiIyNVixYtHDZGd5alS5eq6667TnXu3Fl17NhR7dixw/aYKxtv6GyhortIoChClaK52v7oo4+qO++8066lWBkXL15UPXv2VI8++qizUSuh+zhYsWKFatOmjTp//nylx86dO6eio6PVp59+6nGnUnRXWHNzcx3ecnJy1DPPPKMCAgJUeHi4016Kq6zR0dHVtmLauXOnio6OdjrrBx98oG6++WZlNpsrPVZaWqpuvvlm9dFHHzntpTgWPv30U/XBBx/Y3Td9+nTl7++vjEajuueee2q1mxqVVyl951mq84w7PpxTvY9Tu3UhxS0BAwcOtLv5+vqqhISESvc7i8FgUI0aNVIPPPBAJZcr3op4+xaDv/32m+rbt6+tkCsr5vr27autcNS1tTHVsaCU/iKBasoHxdX2Y8eOqebNm6uoqCiVkZGhVq9erVatWqVmzJihIiMjVURERLW9X2uK7i2u77nnnmo/yL333nsqISHB406l3HuF9csvv1Q333yzCg4OVtOmTVOFhYVOOyiusjZs2LDaLad/++03FRAQ4JRTKaX+z//5P2rx4sVVPr5kyRJ1xx13OO2lOBZ69eql/v3vf9t+3rp1q/Lx8VHTp09Xy5cvV23btlVPPfWU01l1eqnOs1TnGXd8OKd6H6d260JagRFA1TaDqlVTRYxGIy5evIiGDRvarUI9d+6cS15fX18EBATYeqmGh4cDuDxezvx3tWzZEl988QXOnj2Ln3/+GUoptGnTRuvK0tLSUttE/5tvvhlbtmzBwIED8fPPPzuVlbKFSufOnSvdt2HDBkyaNAkHDx7ExIkT8fe//73Gvn79+tlaEDVs2NDuseLiYkybNg3333+/0zmnTp2KFStWIDo6Gk888QRiYmIAXO5s8fbbb8NisWDKlClOOa+//nps374daWlpmDx5ssMFObXtaFAeXcdBGT/++GO17dnuvPNOTJ061eNOAMjJyXF4v1IKn3zyCWbNmoWgoCCnveX5/vvv8cwzz+C///0vHn/8cXzxxRc17utZkc2bN+Pjjz+u8vEhQ4bgwQcfdMoZEhKCw4cPV7lI9+eff65V79QDBw5Uu+DzlltuwU8//eS0l+JY2Lt3r13HgmXLluGee+6x/c02bNgQY8eOdbpbgk5v48aN7f4edZ1nqc4zFG0yK0L1Pk7t1oZHS2vBK6HaupBqX24KqLZMpmLXrl3q7rvvVv7+/mrMmDHq5MmTTjsop3xQXm2nXJCj+zho2LCh+umnn6p8fN++fU5P/aBwVoWOK6xKKfXzzz+rIUOGKKPRqGVRllI0V1kHDx5c7SLKBx54QA0aNMgpp1KXdxeseFyVZ/fu3U7tLlgG1fFVfvrJLbfcombOnGn7+bfffqt1VgovFbrPM4cPH1b33ntvpXNinz59qp0eVlOo3sep3bqQ4lZQGzduVO3atatyrlr79u21LFzj8AdRhq6tjanHVneRQD3lIy8vT3377bfqm2++qfV8Oneie+vstm3bVjuX8sMPP1QxMTEed1ZEx4enMlJTU5Wfn5/q06ePto4OSinVvHlztXHjxiof37Bhg2revLlTzu+//175+/urpKQk9c0336j8/HyVn5+vduzYoRITE5W/v7/atWuX01k7d+6sZs+eXeXjb7/9dq3mLlIcC61bt7at7C8qKlJ+fn52x/6uXbtUWFiY01l1equaQlP+5o0XJZSSbhlUSHHrJihW3uvyUrWAclfR7M1Qja1SdEWCUvyKUKXo/sZ08uyzz6qoqCiHV8D//PNPFRUVpZ599lmPO8uguMJqMBhUQECA6tKlS7U3Z6G6yrpmzRoVHh5eqVgKDw9Xq1evdtqn1OXFwc2aNXN49TY3N1c1a9ZMZWRkOO2lOBYmTZqk2rZtqz788EOVnJysoqKi7BbCzZ07V/Xo0cPprDq9K1eutH3TVPFWtv6gNt0HqIrmbdu2qTVr1tjdt2DBAnXDDTeo8PBwNXLkSHXx4kWnnJTvtxzfy2UTBzewbNkyjBs3DmFhYbBarZg3bx5uu+02AEDXrl3x/fffe9RLtesXRfN+Kqj2JqcaW+DybkQNGzZE27Ztq31ebY8vSoqLi5GXl1dpB6G9e/fWaktXXX8LVBtZlFFUVITu3bvj6NGjGD58uN3844ULFyIyMhI7duxAcHCwR50AkJaWhvfeew+9e/fGK6+8gri4OKd+vypeeOGFGj1v2rRpTnlzcnLQvXt33H///Zg4caLdOMycOROff/45tm3bhq5duzqdubi4GGvXrrXN8Y+OjkZCQoLdbmXOUFpaioSEBHz99de4++67bX/D+/fvx4YNG9CjRw98+eWXaNCggVNeimOhuLgYo0ePxpo1a3DNNdfgnXfesTv+e/fujXvvvRfPPPOMU1mpvGXo2OCIalfQvn37olevXrb/tj179qBr164YMWIE2rVrh1dffRWjR4/G888/X2Mn5fstp/dyGx4urusFuldc6/ZStYCi6ptKwdU+oZc97ixUY6uUUs8//3yNbq5AcTWUos2arr8FyivtZeTn56vU1FTVtGlT29SPJk2aqNTU1FpfJadwUl1hpYTiKisVly5dUhkZGapz586qUaNGKiAgQHXu3FllZGQ4XEVfUyiOBU5Qb3C0f/9+NWDAAGU0GtXDDz9c7TzvqrjmmmvUd999Z/v52WeftbtKnZWVpdq1a+eUk/L9ltN7eRnSLcEN6F5xrdt73XXXVbul7Q8//IBrr73W6XwnT56s9sqDr68vTp065bSXgk2bNtn+rarZm9xZqMYWcP7KlrNUdzX0oYceqvUV4enTp2PXrl1o3rw5du3ahUceeQTPPvssHnzwQdtqZGfR9bewe/duZGRkVPl4QkIC/vnPf9YqYxkhISHIzMzE22+/jdOnT0MphfDwcJfOBRROquPr4sWLWL9+PXr37l3pCmJhYSG++uor9OnTB/7+/k6777//fhw5ckTbVdYPP/ywRs97+OGHnXY3aNAAEydOxMSJE53+3eqgOBYcsXnzZpw/fx7du3evVaea4uJifPnll9qOg4KCArz88st46623EBcXh40bN9b6GxZHHD9+HNOmTcOCBQvQp08f5ObmokOHDrVynT171m7b3c2bN6Nv3762n2+55RYcO3bMKSfl+y2n93Ibnqys6wtUK+91eal2/XLHVrlU6Nrhxp07qumG6huH9u3b2/185swZdeedd6oXXnih1lcCdf0tUF5pV+ry//PVq1c77DJQUFCgVq9e7fRcOwonJW+++aaKj4+v8vG77rpLvfXWW25MVDWhoaFV3po0aaL8/Pxq9Y1OGWX/71599VX16quvqk8//dThrmWu8tVXX6nPP/+8VlduX3nlFTV16lTbz1arVfXp08d2Vbh58+a1+iZH53FAucERxa6gUVFRavPmzUqpy+epgIAAtWHDBtvjP/zwg2rSpIlTTsr3W47v5VLcugHdK651e6laQHEu7HQVt5TtteLi4q76lbErXxtTFKFK0XzY0/W3QH0Sr8kbevnG9p5yKqVUcXExSdF8yy23VLtL1po1a9Qtt9zitHfBggU1uung+PHjavTo0apBgwaqT58+tXKsXr1ahYeH24rEslt4eHitdpRTiqYQ7dKli/rkk09sP2dlZamAgAD19ddfqzNnzqj77rtPDR482OmsOo8Dqg2OqIrmlJQUW6E8fvx41axZM7upKB9//LHq1q2bU07K91uO7+VS3BJAtbKQcsUiRQsod22VS4Gu4lYpuvZa5efVTps2Tfn5+aknn3xS25xbqm8cdBSiBQUFNbo5C/VJnKKwoyoWqa6whoaGVrtt75EjR1RoaGitvJRXWZVSqrCwUE2ZMkUFBQWp2267TWVnZ9fKs3XrVtWgQQOVlJSktm3bps6ePavOnj2rtm7dqhITE5Wfn5/avn27016KQjQ0NNRuvuWIESPUQw89ZPt5+/bt6vrrr3c6q87j4JFHHlEjRoy46s1ZqIrmU6dOqTvuuEMZDAYVHBysVqxYYfd4fHy8010tKN9vOb6XS3FLANWiFHcsdtHdAsodW+VSoGtv8vJQt9fSWZArpe9qKEUhSrUAkPokTlHYURWLVEVzUFCQ2rlzZ5WP79y5UwUFBTntrQodV1kvXbqkXnvtNdWsWTMVHR2tli5d6lKmvn37qlGjRlX5+KhRo1Tfvn2d9lIUohXPKzExMXY9eo8cOVKrqTruPg5qA1XRXEZ+fr5d+7Myzpw5U6tFhZTvt9zey2VBGQFUi1LcsdilSZMmuOWWW1xylMcdW+XqIDEx0e7nixcvIiUlBYGBgXb3r1ixotavoXtsdVOxHVpZKyxH9/fo0aPG3tDQ0GoXsyilYDAYYLFYauykWgDYvHlzbNu2DampqZW22+zTpw/efvttu4UgzmI2m3Hq1ClERUU5fPzUqVMwm80edwLAoUOHHG7xXEanTp1w6NAhp72xsbHYsGEDbr75ZoePr1+/vlbt4CpSVFSEjIwM/Otf/0JsbCzWrVuH3r17O+VQSuHDDz/EP/7xD5jNZrz88sv461//CqPR6FK2HTt2VHsuHzNmDHr27Om012w22y3A2r59O8aNG2f7uUWLFjh9+rRTztatW2PLli248cYbcfToURw8eBB33nmn7fHff/8dzZo1czqru44DV5g/fz6pv+L27GU0bdq0Vj7K91su7+VlSHFLANXKQpYrFq/g7YVdxZOMrr3JOUFRhAI0hWjFN36j0Yi//OUvuPHGG2vtLIPyJE7xhk5VJFAVzY899hjGjx+P2NhY3H///XaPrVmzBunp6Xj99ded9pZRWlqKt956Cy+//DKaNWuGDz74AIMGDaqVq1OnTvjll1/wt7/9DePGjUOjRo1w/vz5Ss9ztv91cXFxtb8TEhLidO9UgKYQHTNmDJ544gn897//xY4dO/CXv/wF7du3tz2enZ2NLl26OJ2V+jioz5S9327durXWvZg94daKpy4Z12WoFqVwXLEouA9XpyV89dVXttumTZtUQECAWrhwod39X331lcdzUjqp5vKWMXfuXBUYGFhpdyKllPr0009VYGCgmjt3rsedSil12223qVdeeaXKx19++WV12223Oe1VSqlhw4Ypg8Gg2rVrpwYMGKAGDBig2rZtq3x8fFRycnKtnFarVc2fP19FRUWpFi1aqLlz5zr8ytcZyi/00jn9pWPHjur999+v8vH33ntPdezY0WnvO++8owIDA9Vjjz2m2rdvr7p37273+EsvvaTuv/9+p73vvfeeGjBggEpJSak0VSk1NVUtX77caadSNMeB8D+Cg4O1n2vd4daBXLkloF+/fnjuuedw7733omHDhnaPFRcXY9q0aZU+qXrSK9DvTEXBrFmz7H42m82YP38+wsLC7O5/8skna+SjvBrKBaqr12WMGjUKW7ZswQMPPIC2bdva7SB18OBBDBkyBKNGjfK4E6C9svbxxx/jgQcewMKFC3Hw4EEopRATE4MXXngBQ4YMqZWT4ipr+W8ddPLoo49iwoQJaN68Ofr162f32Oeff46JEyfi2Wefddo7cuRIGI1GrFmzBnfeeWelXsXHjx/Ho48+6pSzsLAQgwYNsrv6XX6q0iuvvOJ0zjIojgPhfyjCDWgp3TqQ7XcJOHnyJLp27Qqj0YgnnnjC7s3m7bffhsViwffff+/03D0qr8Bze8FWrVpd9TkGgwG//PJLrfzBwcHYvXu39uKWwhscHIwffvihRmNSHZs3b7b9W1UzhaI28yHLk5WVhYULF9ptNPDggw+69IZO4Rw+fDgWLVpUZdG8ePFip51UW137+PjY/u3oA0ptPphQZbVarfh//+//Yfny5YiJiUG7du2glMJPP/2EQ4cOYcCAAVi6dKndf5On8vr4+NRoA4jafuAT6KA6h1O7dSDFLRFHjhxBamoq1q1b53BRSm3fhKm89Z2WLVti7dq1aNeuncPH9+/fj4SEBBw9etTNyTwHZXHraiFacQHgmjVrEB8fr3UBIKB/DCiKD6oCrAzdRfPViqXaXh0v/8GkOpz5YEJd2C1ZsgSLFi2yLcyLjo5GcnIykpOTa+WjyEv1ga8mWQ0GQ63mdQuXWbRoEfr371/pvOjtbh1IcUsM1cpCLisWudCwYcNqt8n9+eef0bFjRxQXF7s5WdVQT6XQdTWUohCt6VerH3zwQY2djtBd3FIUdlTFIlXRTFUsUeTllBVwzzcPuv4mVq9eXeVj27dvx6xZs2C1Wmu1sK4+M2PGDDRv3hyPPfaY3f3vv/8+Tp06hWeeecYp3/jx42v8XG9aAChzbomh6hLg7d0HuHHddddVW9z+8MMPuPbaa92cqnrefPNNjBw50uEbYEhICEaPHo3XX3+9xsUtVTs0ik4UrhatnoKicwRVWzSq+cdUc7uvlrcMZ/J6Kqu3jS0F/fv3r3TfgQMHMGnSJKxZswbDhg3Diy++6IFkvJk7dy4WLVpU6f7Y2FgkJyc7Xdzm5OTU6Hk1+dtzJ1LcCgJ4LtbT3feYqh0a10K0DJ0nbYrig6qgoSqaqeCUl1NWd3D8+HFMmzYNCxYsQJ8+fZCbm4sOHTp4OhZLTpw44fBCTHh4OP7880+nfVSLKqmR4lYQAEydOhUrVqxAdHR0lYv1pkyZ4uGU9ujue8y9CNWBOzbz4AKnq4AAr7ycsjpC1we+goICvPzyy3jrrbcQFxeHjRs3elVHGo5ERkZi69atlaaTbd26FS1atPBQKvcjxa0ggH5nKgo4TqXwdmQzD8/gbV9pVgenrIDreak+8M2cORMZGRm45pprsHjxYofTFATnGTlyJMaNG4fS0lLEx8cDADZu3IiJEyfi73//u4fTuQ8pbgXhCty2F+Q4lcLb8cTVa4piyZsLME5XxzllBWjyUn3gmzRpEgICAnDTTTdhwYIFWLBggcPnecvYcuHpp5/GmTNnkJaWhkuXLgG4vGD6mWeeweTJkz2czn1IcSsIFeCyWI/jVIr6DkXx4c4CTEfR7M6r467m5ZQV4LV48+GHH/bqD2FcMRgMyMjIwHPPPYeffvoJAQEBaNOmDfz9/T0dza1IKzBBYIz0PeYFRQszqrZo7uolrAtOeTllFQSOSHErCHUALlMpBD64q5ewLjjl5ZRVEDgixa0gCIIgCIJQZ3Bu42pBEARBEARB8GKkuBUEQRAEQRDqDFLcCoIgCIIgCHUGKW4FQRAEQRCEOoMUt4IgCIIgCEKdQYpbQRAEQRAEoc4gxa0gCIIgCIJQZ5DiVhAEQRAEQagz/H8MGkYDLvilMAAAAABJRU5ErkJggg==", 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", 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", 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", 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", 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IiIjEYHNrMJvNhtjYWNhsNrNL8QtJeZhFTZKyALLyMIuaJGUBZOVhFmNwWgKnJRAREREpjdMSFOZyuZCVlaXk7kJfSMrDLGqSlAWQlYdZ1CQpCyArD7MYg82twXRdR1FRkZK7C30hKQ+zqElSFkBWHmZRk6QsgKw8zGIMNrdEREREJAabWyIiIiISgxvKDN5Q5vF4cPr0aURERCh5HrO3JOVhFjVJygLIysMsapKUBZCVh1l8502/xuaW0xKIiIiIlMZpCQorLS3Fhx9+iNLSUrNL8QtJeZhFTZKyALLyMIuaJGUBZOVhFmOwuTWBimMzGkJSHmZRk6QsgKw8zKImSVkAWXmYJfDY3BIRERGRGGxuiYgM9MEHH2DixIlYvXq12aUQEYnEDWUGbygrG3ocGhoKTdMC/v0CTVIeZlGTpCxOpxPR0dEoKChAeHg4cnNzYbfbzS7LZ5KuDbOoS1IeZvEdN5QpLiQkxOwS/EpSHmZRk4Qsuq4jMTERRUVFAICioiJMmTLF5KoaTsK1KcMs6pKUh1kCj82twVwuFz766CNlF2F7S1IeZlGTlCyrVq1CRkYG3G43AMDtdiM9PR2rVq0yuTLfSbk2ALOoTFIeZjEGm1siogBzOp1ITEys9tKdpmmYPHkynE6nSZUREcnjU3P7r3/9C8XFxf6uhYhInIrLEapucShbsyZheQIRkSqCffmiiRMnIjo6Gn379vV3PUREljLA4ajz8eKDB7EjI6PWx8uWJ/RdswYtOnWq8XOyY2MbUCERUePi07SEoKAgfPXVVyKaWzOmJbhcLgQHB1t+pyQgKw+zqMnqWXRdx8iRI5GZmVm+3rYim82G4cOHY82aNSZU1zBWvzYVMYu6JOVhFt9xWoLiSkpKzC7BryTlYRY1WTmLpmlITU2tcVyOpmlo1aoVFi9ebFJ1DWfla1MVs6hLUh5mCTyfm9sTJ074s45Gw+VyITs7W8ndhb6QlIdZ1CQhi91uR2pqao1rblNTUy0761bCtSnDLOqSlIdZjOHTmlsASEhIQEhICGJiYtCzZ89Kb61bt/ZnjUREljd69GisXLmyfHlC2XKE0aNHm10aEZEoPje3M2bMQElJCfbs2YP09HT8/e9/L3/JrX379uWNbq9evTBmzBi/FUxEZEVlyxOysrJQWFiI0NBQSy9HICJSlc/LEkaOHInk5GR8/vnn+OWXX5CXl4f169dj3rx5+O1vf4sjR47gjTfewLhx43wubvPmzbj//vvRvn17aJqGtWvX1vq5ZTMk//rXv/r8/YwSHOzz7xRKkpSHWdQkJYvdbkdKSgrCw8ORkpJi2eUIFUm5NgCzqExSHmYJvIBOS7h06RK+/fZbxPo4xubjjz/G1q1b0bt3byQkJCAjIwMjRoyo9nkZGRl4+eWXcerUKcycORPTpk2r9/cweloCEREREXlHmWkJTZo08bmxBYAhQ4Zg7ty5iI+Pr/Vzjh07hieffBLLly/HVVdd5fP3MorH44HT6YTH4zG7FL+QlIdZ1CQpCyArD7OoSVIWQFYeZjGGT83t7t270bVrV3/X4jWPx4OHH34YM2fORExMjNnl1Ivb7ca2bdtqnHdpRZLyMIuaJGUBZOVhFjVJygLIysMsxvBpsUSPHj38XYdPFixYgODgYPzP//xPvb/m4sWLuHjxYvn7Z8+eDURpRERERGQCyx7isHPnTrz11ltYunSpVydjzJ8/H2FhYeVvUVFRAaySiIiIiIxk2eZ2y5YtcDqd6NChA4KDgxEcHIwjR47g//2//4frrruu1q+bNWsWCgsLy9+OHj1qXNG4PA6oppOKrEpSHmZRk6QsgKw8zKImSVkAWXmYxRg+TUswg6ZplaYl/PLLL9VOSRs8eDAefvhhPPLII4iOjq7Xn8tpCURERERqU2Zawpw5c7BkyRJcuHDBp68vLi6Gw+GAw+EAABw+fBgOhwN5eXn4zW9+g+7du1d6u+qqq9CuXbt6N7Zm8Hg8OHLkiJK7C30hKQ+zqElSFkBWHmZRk6QsgKw8zGKMgDa3//u//4vJkyejY8eOWLBggddfv2PHDsTFxSEuLg4AMH36dMTFxeHFF1/0d6mGcbvdcDgcSu4u9IWkPMyiJklZAFl5mEVNkrIAsvIwizECerTE4cOHce7cOeTk5ODLL7/0+uv79+8Pb1ZN/Pjjj15/DyIi8s0HH3yAJ554AikpKRg7dqzZ5RARAQhwc9uxY0cAQLdu3fDYY48F8lsREZGBnE4nkpKSUFhYiKSkJNx9990ijhMmIuvz27IEl8vlrz9KNE3T0LZtWyV3F/pCUh5mUZOkLICMPLquIzExEcXFxQCAoqIiTJkyxeSqGkbCdSkjKQsgKw+zGKPB0xKys7MxadIk/PDDDwgNDUXPnj0RGxtb/ta9e3c0adLEX/X6HaclEBF5Z+XKlRgzZkyNHx89erQJFRGRdIZOS5g8eTKaNGmCRYsW4YUXXsD111+PzZs3Y8qUKejTpw9CQ0Mb+i1EcbvdOHDggJILsH0hKY+kLO+//z7atm2LlStXml1Kg0m6LoD18zidTiQmJla7W6NpGiZPngyn02lSZQ1j9etSkaQsgKw8zGKMBq+5PXHiBFavXo3BgwdX+nhpaSn27t2LPXv2NPRbiOLxeJCbm4tOnTrBZrOZXU6DScojJUtZ81FYWIjExEQMGDDA0mshpVyXMirnGfDr2MXa6LqOfTNmoKCoCKjyop+u6yg4exYxY8ei+xtv1PnnZMfGNrBS/1P5unhLUhZAVh5mMUaDm9s77rijxt/Ur7rqqkpjvIgo8GpbC7lmzRqTKyMruFLTuXfvXvTIyqr9EzwenM7KwqKrrkJMTIx/iyMiqqcGL0tYsGABFixYUO20MCIy3qpVq5CRkVH+MpHb7UZ6ejpWrVplcmUkQUxMDOLj42u9S2Oz2ZCQkMDGlohM1eA7tzExMbjjjjvQo0cPPPbYY7jnnnsQFxeH3/zmN/6oT5ygoCB06NABQUEBPT/DMJLyqJzlSi8XA8Cl/Hxsf/xxQNMqv2SsaRj32GN4KyICTdq0qfPPUPHlYpWviy+snEfTNKSmpiI7OxuFhYWV5pBrmoZWrVph8eLFJlboOytfl6okZQFk5WEWYzR4WsLYsWOxcuVKtGvXDiUlJSgsLISmaWjfvn35soSXX37ZX/X6HaclkBXUdy3k6S++AGpa3B8UhIj+/S25FpLUw2kJRGQ0b/q1Bje3LVu2xKxZszB79mwAwNGjR7Fr1y44HA7s2rULu3fvxg8//NCQbxFQRje3brcbe/bsQc+ePZVbgO0LSXmsnGXv3r3o0aNHvT7Pai8ZW/m61ERCHl3XMXLkSGRmZsLtdsNms2H48OGWXtst4bqUkZQFkJWHWXxn6CiwiIgI9O3bt/z9qKgoDBs2DC+++CIyMjKUbmzN4PF4kJeXB4/HY3YpfiEpj5WzSF4LaeXrUhMJecqWJ7Rs2RIAEBoaatnlCGUkXJcykrIAsvIwizEa3NxOmjTJ0r+tE0lQ1myEhobWOH/UymshSU12ux0pKSkIDw9HSkqKpcfNEZEsDW5uz58/jw0bNuDZZ59FQUGBH0oiIl/Y7Xakpqai6kojXdeRmprK5oP8btSoUVi6dCkeeOABs0shIirX4OZ22bJlyMvLw2uvvYbIyEjcdtttmDJlCt555x38+9//xoULF/xRpxhBQUGIjo5WcnehLyTlkZBl9OjRlZYnlC1HsPImHwnXpSJJeZhFTZKyALLyMIsxGryhDADy8/Oxe/fuSm/ffvstLl26BJvNhtLSUn/UGhCclkDSOJ1OREdHo6CgAK1bt8aBAwd415aIiCzN0A1lANCmTRsMGDAA06ZNw7vvvotvvvkGxcXF2L17N5YuXeqPbyGGy+VCTk4OXC6X2aX4haQ8UrKUrYVs06aNiLWQUq5LGUl5mEVNkrIAsvIwizEafIhDrX9wcDB69OhRr/FEjYmu6zh16lS1dZFWJSmPpCwPPPAAmjdvjqFDh5pdSoNJui6ArDzMoiZJWQBZeZjFGPW+c7tixQrccMMN2LBhQ62fs2HDBtxwww1YvXq1X4ojIiIiIvKGV81tQUEBBg4cWOvnDBgwAGfOnMHy5cv9UhwRERERkTfq3dyWnULRpEmTWj+nadOm6NWrF3bv3u2X4iSy2WyIjY21/MkkZSTlYRY1ScoCyMrDLGqSlAWQlYdZjFHvaQnNmjXDyJEjr3hXdty4ccjIyMD58+f9UmCgcVoCERERkdoCMi2hefPm+OWXX674eb/88kudd3cbO5fLhaysLCV3F/pCUh5mUZOkLICsPMyiJklZAFl5mMUY9W5uY2JisHXrVuTn59f6Ofn5+fjyyy9x4403+qU4iXRdR1FRkZK7C30hKQ+zqElSFkBWHmZRk6QsgKw8zGKMeje3I0eOxLlz5zB+/PgalxyUlJTg4YcfRklJCY9iJCIiIiJT1HvO7eTJk7FkyRJ88skn6Nq1Kx566KHyO7QHDhzAihUrcPz4cURHRyMpKSlgBRMRERER1car43d/+uknxMfHY+fOndA0rdJjuq4jLi4OGRkZ6NChg98LDRSjN5R5PB6cPn0aERERSp7H7C1JeZhFTZKyALLyMIuaJGUBZOVhFt9506951dwCl5vY9evXY8OGDThy5AgAoEOHDrj33nsxbNiwak2v6jgtgYiIiEhtAZmWUEbTNAwbNgwpKSn48MMP8eGHH2Lx4sUYPny45RpbM5SWluLDDz9EaWmp2aX4haQ8zKImSVkAWXmYRU2SsgCy8jCLMax9T9yiVByb0RCS8jCLmiRlAWTlYRY1ScoCyMrDLIHH5paIiIiIxGBzS0RERERieL2hTBqjN5SVDT0ODQ0VsUZZUh5mUZOkLICsPMyiJklZAFl5mMV3Ad1QRg0XEhJidgl+JSkPs6hJUhZAVh5mUZOkLICsPMwSeGxuDeZyufDRRx8puwjbW5LyrFixAna7He+//77ZpTSYpOsiKQsgKw+zqElSFkBWHmYxBptbIgBOpxNJSUkoKChAUlISnE6n2SURERGRD9jcUqOn6zoSExNRXFwMACgqKsKUKVNMroqIiIh8oXRzu3nzZtx///1o3749NE3D2rVryx8rLS3Fs88+ix49eqBFixZo3749/vjHP+L48ePmFUyWtGrVKmRkZMDtdgMA3G430tPTsWrVKpMrIyIiIm8pPS3h448/xtatW9G7d28kJCQgIyMDI0aMAAAUFhbigQcewOOPP45evXrhzJkzeOqpp+B2u7Fjx456fw8zpiW4XC4EBwdbfqckYP08TqcT0dHRKCwsRMX/FTRNQ1hYGHJzc2G3202s0DdWvy4VScoCyMrDLGqSlAWQlYdZfOdNvxYc8GoaYMiQIRgyZEiNj4WFhWHjxo2VPrZo0SL07dsXeXl56NChgxEl+qSkpAShoaFml+E3quYZ4HDU+biu69g3YwYKioqAKr/j6bqOgrNnETN2LLq/8Uadf052bGwDKw0MVa+LLyRlAWTlYRY1ScoCyMrDLIGn9LIEbxUWFkLTNISHh5tdSq1cLheys7OV3F3oC5XzZMfG1vm26KqrcDorC/h1OUI1Hg9OZ2Vh0VVX1fnnqEjl6+ItSVkAWXmYRU2SsgCy8jCLMcQ0txcuXMCzzz6LsWPH1nm7+uLFizh79mylN2qcYmJiEB8fD5vNVuPjNpsNCQkJiImJMbgyIiIi8pWI5ra0tBSjR4+GrutYvHhxnZ87f/58hIWFlb9FRUUZVCWpRtM0pKam1ni6iqZpaNWq1RV/noiIiEgtlm9uyxrbI0eOYOPGjVdcZDxr1iwUFhaWvx09etSgSv8rOFjppc5es3Ieu92O1NRUVN1Xqes6UlNTLbmZrIyVr0tVkrIAsvIwi5okZQFk5WGWwFN6WkJFmqZVmpYA/Lex/f7775GdnY22bdt6/ecaPS2B1KPrOkaOHInMzEy43W7YbDYMHz4ca9asMbs0IiIignf9mtJ3bouLi+FwOOD4ddf74cOH4XA4kJeXh9LSUjzwwAPYsWMHli9fDrfbjZMnT+LkyZO4dOmSuYXXwePxwOl0wuPxmF2KX0jIU7Y8oWXLlgCA0NBQyy9HkHBdykjKAsjKwyxqev/992G327Fy5UqzS/ELSdeGWYyhdHO7Y8cOxMXFIS4uDgAwffp0xMXF4cUXX8SxY8eQmZmJn376CbGxsbj66qvL33JyckyuvHZutxvbtm0rPzDA6qTksdvtSElJQXh4OFJSUiy9HAGQc10AWVkAWXmYRT1OpxOJiYk4deoUEhMTRRwlLuXaAMxiFDUXS/yqf//+1dZCVmSRFRVkEaNGjUKLFi0wdOhQs0shIvJabUeJc4kVNTZK37klIiIywgcffICJEydi9erVZpfiMx4lTnSZ0nduJdI0rcbRU1YlKQ+zqElSFkBWHilZnE4nkpKSUFhYiKSkJNx9993KLU260omLl/Lzsf3xxwFNq3zioqZh3GOP4a2ICDRp06bOP0PVQ2mk/JwBzGIUy0xLCBROSyAiarysMi2lrua27Cjx0198UfOJi0FBiOjf37JHiRMB3vVrvHNrMI/Hg6NHjyIqKgpBQdZfFSIpD7OoSVIWQFYelbNc6U5nGecnn+DbjIzy98teyo9ZuBD2QYOu+PUqNITnDh26fJR4bX49SvzcoUNo0amTcYX5ico/Z95iFmOoVU0j4Ha74XA4lNxd6AtJeZhFTZKyALLyWD3Lpfx85M6bd/ml/Io0Dd/NnYtL+fnmFOalFp06IWLgQKCWo8RhsyFi4EBLNraA9X/OKmIWY7C5JSKiRkfXdXw3bx7c589XXqN6+UG4zp3Dd/PmmVOclzRNQ9fZs2Fr3rzGRj24eXN0nT3bnOKITMDmloiIGp3yl/Jru+tU4aV8K2jSpg2iZ8+usVHv+sILV9xMRiQJ19waTNM0tG3bVsndhb6QlIdZ1CQpCyArj5WzlL2UX+smLJsNEf36KfNSfn3W9uq9emHk9u3VN8c980zgCwwgK/+cVcUsxuC0BE5LICISpz4byi7l52P7iBFwFxdXG58V3LIl+q5da7nxWU6nE9HR0SgoKEDr1q1x4MAB5caaEfmC0xIU5na78f3336NLly6w1bb430Ik5WEWNUnKAsjKo3KW+jadK5cswZgxYyp/UNexPC0NowcO9H9hAWa327F48WI8+eSTWLRokYjGVuWfM28xizG45tZgHo8Hubm58Hg8ZpfiF5LyMIuaJGUBZOWRkGX06NGIj48vf3K22WxISEjA6NGjTa7MdyNHjkRaWhoSEhLMLsUvJPyclWEWY7C5JSKiRkvTNKSmpqJly5YAgNDQUCxevNjkqoioIdjcEhFRo2a325GSkoLw8HCkpKSIeCmfqDHjmluDBQUFoUOHDsqd5uErSXmYRU2SsgCy8kjK8uCDD+Kmm25Cz549zS6lwSRdF0BWHmYxBqclcFoCERERkdK86dfUa7eFc7vd2LVrl5LH1flCUh5mUZOkLICsPMyiJklZAFl5mMUYbG4N5vF4kJeXp+TuQl9IysMsapKUBZCVh1nUJCkLICsPsxiDzS0RERERicHmloiIiIjEYHNrsKCgIERHRyu5u9AXkvIwi5okZQFk5WEWNUnKAsjKwyzG4LQETksgIiIiUhqnJSjM5XIhJycHLpfL7FL8QlIeZlGTpCyArDzMoiZJWQBZeZjFGGxuDbZq1Srcd999+OCDD8wuxS90XcepU6cg4QUAZlGTpCyArDzMoiZJWQBZeZjFGGxuDeR0OpGUlISCggIkJSXB6XSaXRIRERGRKGxuDaLrOhITE1FcXAwAKCoqwpQpU0yuioiIiEgWNrcGWbVqFTIyMspP8nC73UhPT8eqVatMrqxhbDYbYmNjYbPZzC6lwZhFTZKyALLyMIuaJGUBZOVhFmNwWoIfpiUMcDjqfPxSfj62jxgBd3ExUPGvW9MQ3LIl+q5diyZt2tT5Z2THxvpUGxEREZHVcVqCQnRdx3fz5sF9/nzlxvbyg3CdO4fv5s0zpzg/cLlcyMrKUnK3pLeYRU2SsgCy8jCLmiRlAWTlYRZjsLkNsHOHDuF0Vhbw63KEajwenM7KwrlDh4wtzE90XUdRUZGSuyW9xSxqkpQFkJWHWdQkKQsgKw+zGIPNbYC16NQJEQMHArWtSbHZEDFwIFp06mRsYUREREQCsbkNME3T0HX2bNiaNwc0reqDCG7eHF1nzzanOCIiIiJhuKHMoON3V65ciTFjxtT48dGjRwfs+waax+PB6dOnERERoeT50t5gFjVJygLIysMsapKUBZCVh1l8502/xubWoOZW13WMHDkSmZmZcLvdsNlsGD58ONasWROw70lEREQkAaclKEjTNKSmpqJly5YAgNDQUCxevNjkqhqutLQUH374IUpLS80upcGYRU2SsgCy8jCLmiRlAWTlkZTlvffeQ+vWrbFixQqzS6mGza2B7HY7UlJSEB4ejpSUFNjtdrNL8gsVx4D4ilnUJCkLICsPs6hJUhZAVh4JWZxOJ5KSklBQUICkpCQ4nU6zS6ok2OwCGptRo0ahRYsWGDp0qNmlEBEREXlF13UkJiaiuLgYAFBUVIQpU6YotcySd26JiIiIqF5WrVqFjIwMuH+d3+92u5Geno5Vq1aZXNl/Kb2hbPPmzXjttdewc+dOnDhxAhkZGRgxYkT547qu46WXXsKSJUtQUFCAO++8E4sXL0aXLl3q/T2M2lBWpmzocWhoKLSqo8EsSFIeZlGTpCyArDzMoiZJWQBZeayexel0Ijo6GoWFhZUOb9A0DWFhYcjNzQ3Ykktv+jWllyWcO3cOvXr1wqOPPoqEhIRqjy9cuBDJyclYtmwZrr/+evz5z3/G4MGD8e2336JZs2YmVFw/ISEhZpfgV5LyMIuaJGUBZOVhFjVJygLIyqNqlgEOR52P67qOfTNmoKCoCKhyX1TXdRScPYuYsWPR/Y036vxzsmNjG1hpPegWAUDPyMgof9/j8ejt2rXTX3vttfKPFRQU6E2bNtVXrFhR7z+3sLBQB6AXFhb6s9xaXbp0SV+7dq1+6dIlQ75foC1fvlwPDw/X33vvPbNLaTBJ14ZZ1CUpD7OoSVIWXefzjCr+85//6ACu+LZ3796AfH9v+jXLrrk9fPgwTp48iXvuuaf8Y2FhYbj11luxbdu2Wr/u4sWLOHv2bKU38o3quyWJiMja+DyjjpiYGMTHx8Nms9X4uM1mQ0JCAmJiYgyurDrLNrcnT54EAERGRlb6eGRkZPljNZk/fz7CwsLK36KiogJap1R6LbsliYiI/IHPM2opm9df03phTdPQqlUrZeb3W7a59dWsWbNQWFhY/nb06FGzS7IkK+yWJCIi6+LzjHrsdjtSU1MrbSYDLv8ikpqaqsz8fqWnJVSkaVqlaQk//PADOnXqhF27diG2wuLkfv36ITY2Fm+99Va9/lwzpiW4XC4EBwcruVPySgvKAeBSfj62jxgBd3Fx5UXlmobgli3Rd+1aNGnTptavN2QxuQ9UvzbeYBZ1ScrDLGpSPQufZ9S9NvWh6zpGjhyJzMxMuN1u2Gw2DB8+POBzbhvF8bvXX3892rVrh02bNpV/7OzZs9i+fTtuv/12Eyu7spKSErNL8Jmu6/hu3jy4z5+vtlsSug7XuXP4bt48c4rzAytfm6qYRV2S8jCLmqychc8zaqu4PAEAQkNDlVmOUEbp5ra4uBgOhwOOX3/LO3z4MBwOB/Ly8qBpGqZNm4a5c+ciMzMT//nPf/DHP/4R7du3rzQLVzUulwvZ2dmWPX7v3KFDOJ2VBfz6MlE1Hg9OZ2Xh3KFDxhbmB1a/NhUxi7ok5WEWNVk9C59n1Ge32/G3v/0N4eHhSElJUWY5Qhml59zu2LEDAwYMKH9/+vTpAIAJEyZg6dKleOaZZ3Du3DlMmjQJBQUFuOuuu7BhwwalZ9xaXYtOnRAxcCBOf/FFzf/w2GyI6NcPLTp1Mr44IiKyPD7PWMOoUaPQokULDB061OxSqlG6ue3fv3+1RcsVaZqGOXPmYM6cOQZW1bhpmoaus2fjzNdf17wWqnlzdJ0927wCiYjI0vg8Qw2ldHMrVXCwun/t9V2Ev3LJEowZM6byB3Udy9PSMHrgQP8XZhCVr423mEVdkvIwi5pUzsLnGXWvjbdUzWKZaQmBYvS0BCnM2i1JRESNA59nqKJGMS3BqjweD5xOJzwej9mlNEjZbsmWLVsCUHO3pLekXBuAWVQmKQ+zqElKFj7PqE3lLGxuDeZ2u7Ft27byodRWZrfbkZKSouxuSW9JujbMoi5JeZhFTZKy8HlGXSpnUXOxBFmGyrsliYjI+vg8Q97inVsiIiIiEoPNrcE0TUNoaKhlj92rSlIeZlGTpCyArDzMoiZJWQBZeZjFGJyWwGkJRERERErjtASFeTweHDlyRMndhb6QlIdZ1CQpCyArD7OoSVIWQFYeZjEGm1uDud1uOBwOJXcX+kJSHmZRk6QsgKw8zKImSVkAWXmYxRhsbomIiIhIDDa3RERERCQGm1uDaZqGtm3bKrm70BeS8jCLmiRlAWTlYRY1ScoCyMrDLMbgtAROSyAiIiJSGqclKMztduPAgQNKLsD2haQ8zKImSVkAWXmYRU2SsgCy8jCLMdjcGszj8SA3N1fJ0Rm+kJSHWdQkKQsgKw+zqElSFkBWHmYxBptbIiIiIhKDzS0RERERicHm1mBBQUHo0KEDgoJk/NVLysMsapKUBZCVh1nUJCkLICsPsxiD0xI4LYGIiIhIaZyWoDC3241du3YpubvQF5LyMIuaJGUBZOVhFjVJygLIysMsxmBzazCPx4O8vDwldxf6QlIeZlGTpCyArDzMoiZJWQBZeZjFGGxuiYiIiEiMYLMLMFvZkuOzZ88a8v1KS0tx/vx5nD17FldddZUh3zOQJOVhFjVJygLIysMsapKUBZCVh1l8V9an1WerWKNvbouKigAAUVFRJldCRERERHUpKipCWFhYnZ/T6KcleDweHD9+HKGhodA0LeDf7+zZs4iKisLRo0dFTGeQlIdZ1CQpCyArD7OoSVIWQFYeZvGdrusoKipC+/btrzh+rNHfuQ0KCsK1115r+Pdt1aqV5X+wK5KUh1nUJCkLICsPs6hJUhZAVh5m8c2V7tiW4YYyIiIiIhKDzS0RERERicHm1mBNmzbFSy+9hKZNm5pdil9IysMsapKUBZCVh1nUJCkLICsPsxij0W8oIyIiIiI5eOeWiIiIiMRgc0tEREREYrC5JSIiIiIx2NwSERERkRiN/hAHurKy85yvRMpAajKH9J+zkpIS5Ofn45prrqn08X379iEmJsakqq5M+nWR5PTp0wCAiIgIkyvxjzNnzkDXdbRp0wanTp3Cli1bEB0drfT/L6QG3rkNkKCgINhstjrfgoOt8btFeHg4WrduXetb2eMS7N27F//85z+xc+dOs0vxi7lz55pdQr1J/jlbvXo1unTpgvvuuw89e/bE9u3byx97+OGHTazsyiRfF+DyLx3Hjh2r9vF9+/aZUI33CgoK8MQTTyAiIgKRkZGIjIxEREQEpk6dioKCArPL81laWhp69+6NPn36YPHixYiPj8emTZswZswYpKWlmV1eo1ZSUgKPx1P+/qZNm/DGG2/go48+MrGqyqzRXVlQRkZGrY9t27YNycnJlX44VJadnV3+37quY+jQoUhLS6t2B8qK7r77bmzatAkA8N577+GVV17B0KFDkZycjIkTJ2Lq1KkmV1h/zzzzTKX3dV1HWlpa+Z23hQsXmlFWvUn+OZs7dy527tyJyMhI7Ny5ExMmTMDzzz+Phx56CKpPY5R8XVavXo1p06YhIiICHo8HS5Yswa233grg8i8d33zzjckV1i0/Px+33347jh07hnHjxuGmm24CAHz77bdYunQpNm3ahJycHEv+8pGcnIx9+/ahpKQEHTp0wOHDh9G2bVsUFhaiX79+eOyxx8wusVZBQUHQNK3Oz9E0DS6Xy6CK/Ou2227DF198gfDwcMyfPx8bN27E0KFDkZqaiqysLLz++utml8jmNlCGDx9e7WO5ubl47rnnsH79eowbNw5z5swxoTLv9evXr9L7NpsNt912G2644QaTKvKf/Pz88v9+66238Nlnn6Fdu3YoLi7GHXfcYanmdtWqVbj99tsxZMiQ8oYpODjYMi/hSf45Ky0tRWRkJACgd+/e2Lx5M+Lj43Hw4MErPgmaTfJ1sfIvHQAwZ84cNGnSBIcOHSr/+ar42KBBgzBnzhz85S9/MalC3wUHByMkJAQhISHo3Lkz2rZtCwAICwtT/v8ZSTe3auJyuRAeHg4AWLNmDXJyctCkSRNMnz4dsbGxptZWhssSDHD8+HE8/vjj6NGjB1wuFxwOB5YtW4aOHTuaXVqjp+s6SkpKcO7cOXg8HrRr1w4A0LJlS9hsNpOr887+/fvRqVMnrF+/HnfeeScmTJiA0NBQTJgwARMmTDC7vEbNbrdjz5495e+3adMGGzduxP79+yt9nIxV0y8d77zzDubMmaN8AwUAa9euxeuvv16tsQWAdu3aYeHChXU2Wiqz2Wy4cOECAOCLL74o/3hxcbFZJdXb8OHDq73deOONWLp0KV5//XWMGjUKubm5Zpfps8jISOTk5AAA2rdvX77Wu6ioyMyyKuGd2wAqLCzEK6+8grfffhuxsbHYtGkTfvvb35pdFlVQUFCAmJgY6LoOTdNw4sQJXH311SguLrbEnZuKQkJCMHfuXBw8eBAzZsxAdHQ03G632WURgH/961/V1tg3adIEK1assNSrA9KU/dLRs2dPAP/9pWPChAmW+KXjxIkTdb4y0717d5w8edLAivzns88+Kz/WNSwsrPzj58+fx//93/+ZVZbXjh8/jpdeegnLli3D4MGD4XA40L17d7PLapB//OMfmDhxIpo0aYIWLVqgV69e6NOnD5xOJ1577TWzywPA5jZgFi5ciAULFqBdu3ZYsWJFjcsUrMwKdzXq48cff6zx40FBQZa949G5c2esXbsWmZmZlrv7XJWUn7Nrr7221sfuvPNOAyvxDynXxeq/dERERODHH3+s9efr8OHDaNOmjcFV+UfFhrYiu90Ou91ucDXek3xz67rrrsPnn3+Ob7/9Ft9//z3Gjx+Pa665BrfccosyzzmabrXbUxYRFBSEkJAQ3HPPPXVe7PT0dAOr8k1CQkKl99evX4+BAweiRYsWlT5uhSySxhpJygLw50xVvC7qevTRR3Ho0CFs3LgRTZo0qfTYxYsXMXjwYNxwww34xz/+YVKF9Sfp2lS8ufXKK69Y/uaWFa8Nm9sAmThxYr3ubrz77rsGVNMwjzzySL0+zwpZrrSLtWx5ghVezq/PjlwAlsgC8OdMVbwu6vrpp5/Qp08fNG3aFE888QRuvPFG6LqO/fv3IyUlBRcvXsSOHTsQFRVldqlXJOnaSLq5BVjzuYbNLTUqFTcm1DXWqOoOcRVJyiINr42aJF6Xw4cPIykpCZ9++mn5PgFN0/D73/8eixYtQufOnU2usH4kXRtJN7cAa14bNrfkNUmn4ISGhmL37t0ixhpJyiINr42aJF2XM2fO4Pvvvwdwed29VdfalpF0baSxwrXhKLAAycrKQrdu3Wpcq1JYWIiYmBhs2bLFhMp8I/UUHFLb9u3bcfjwYQDAl19+iddffx3r1683uSqqykon4UnVunVr9O3bF3379rV8YytNZmZm+VgzMganJQTIX//6Vzz++OM1LrAOCwvD5MmT8eabb1pi96TkU3BIXdOmTcOOHTvgcrlwzz33YOvWrbjvvvvwzjvvICsry5KD6SWw+kl4klhxo09jNGbMGLRs2RJ33303HnzwQQwdOrTaBkDyLza3AbJ7924sWLCg1scHDRqkxBF19SH5FBxAzlgjQFaWzz77DP/5z39w8eJFXHvttTh27BiaNm2Kp59+WplTcLwh5dpY/SS8qqx8XcLDw8VswqqJla9NRdHR0fjyyy+RmZmJZcuWITExEYMGDcKDDz6IwYMHVxtHZwWqXxvr/Y1axM8//4yrrrqq1seDg4Nx6tQpAyvy3dq1a/HOO+/UeQpOYmKiJZrbqmONLly4gMTEREuONZKUpTYulwsXL15EaWkpLly4gKZNm8Ltdiv/ZC352uzfvx/z5s3D+vXrMX/+fHTu3Bkvv/yyJU7Bk3ZdsrOzy/+7ro0+ViDt2lSkaRpatGiBsWPHYuzYsSgqKsK6devwzjvv4LHHHsOJEyfMLrFOVrw2bG4D5JprrsHevXtr3am6Z88eXH311QZX5RtJp+BUHQw+fvx4kyppOElZavKnP/0JN910E9xuN+bNm4cHH3wQXbp0QU5ODkaOHGl2eXWSfG2sfBKetOtSdXe6zWbDbbfdpvRGn9pIuzYVVd23HxoaivHjx2P8+PH1XlpiJiteG05LCJAnn3wSn3/+Ob7++ms0a9as0mMlJSXo27cvBgwYgOTkZJMqrL9rrrkGK1euxF133VXj41u2bMGDDz6I48ePG1wZSVdxMkdBQQE+++wzREVF4dZbbzW5MiqTmZmJr776Cq+88orZpTR6VtjF3hh999136Nq1q9llNCpsbgPk559/xs033wybzYapU6ciOjoaAHDgwAH87W9/g9vtxjfffFPjS/2qkXQKDqkrKysLU6dOxVdffVVtA0xhYSHuuOMOLF68GL/73e9MqpBIbWxuiS7jKLAAiYyMRE5ODrp3745Zs2YhPj4e8fHxeP7559G9e3d8+eWXlmhsgcubxnJzc9GlSxcsXLgQmZmZWLduHV599VV06dIF+/fvx8svv2x2mX4jZazR3r178c9//hM7d+40u5R6qc+EESus6wZkjQKUlCUoKAg2m63ONytu7qlI9Y0+tZH0cyYpS23OnDmD/Px8AMCpU6eQnp6Offv2mVzVf/HOrQHOnDmDgwcPQtd1dOnSxZIjs6ScglNVbWONHn/8cQDWGmt09913Y9OmTQCA9957D6+88gqGDh2KrKwsTJw4EVOnTjW5wrp17NgRGzZsKB81V9WBAwcwaNAg5OXlGVyZ94YNG4YBAwbg6aefrvHx5ORkZGdnIyMjw+DKvCcpy7p162p9bNu2bUhOTobH47HMTNKqG33Wr1+PgQMHKr3RpzaSfs4kZalJWlpa+TKkmTNnYvny5ejVqxc2b96Mp556Co899pjJFbK5JS9JOwXnuuuuqzbWaMaMGeVj2qywA7xMXFwcdu3aBQC49dZbsW7dOrRr1w7FxcW44447sGfPHpMrrFuzZs3q3IR58OBB9OjRAyUlJQZX5j1JjbqkLDXJzc3Fc889h/Xr12PcuHGYM2cOOnbsaHZZ9fLII4/U6/OscMyrpJ8zSVlq0rNnT2zfvh0lJSXo0KEDDh8+jLZt26KwsBD9+vWDw+Ewu0ROSzDL3r178c033yAmJga9e/c2u5x6KzsFRworjzWqStd1lJSUwOPxwOPxoF27dgCAli1bwmazmVzdlUmaMCJpFKCkLBUdP34cL730EpYtW4bBgwfD4XCge/fuZpflFSs0rfUl6edMUpaaBAcHIyQkBCEhIejcuTPatm0L4PLyMVWWxXDNrUHuvvvu8v9+7733MGbMGOzduxeTJ0/GokWLTKys4ay2trOisrFG8+fPx4wZM/DMM89YZqxRVQUFBYiJiUH37t3xyy+/lM9OLC4urjaKRkVDhw7Fn//85xpfEi4pKcFLL72EP/zhDyZU5r2yRr02VmrUJWUBLq95fPbZZ9G5c2fs27cPmzZtwvr16y3X2AKy1nZK+jmTlKUmNput/N/pL774ovzjxcXFZpVUnU6GiI2NLf/vvn376idOnNB1XdeLior0Hj16mFWWTwYOHFj+38uXL9djYmL0mTNn6r1799bffvttEytruHXr1umzZs0yuwy/OnfunP7DDz+YXcYVnTx5Um/fvr0eFRWlL1iwQF+7dq2+du1a/dVXX9WjoqL09u3b6ydPnjS7zHqZOnWq3r17d72kpKTaY+fPn9e7d++uP/nkkyZU5j1JWRYsWKC3adNG79atm7527Vqzy2mw+++/X3/zzTdrffytt97SR4wYYWBFvpP0cyYpS00KCgp0j8dT7eM///yz/u9//9uEiqrjmluDxMbGYtu2bfB4POjfvz++/vrr8scqrpW0Aiuv7ZQ0bqo+WVJTU/Hb3/7WpAq9d+TIEUyZMgWffPJJpY2LgwcPxt/+9jdcf/31JldYP5JGAUrKEhQUhJCQENxzzz11LtWxwgYsQNbaTkk/Z5KyWBXX3Bqk7CVj/dezvk+cOIGrr77aMi8ZV6RbeG1nfcdNWaG5rU+WN99801LNbceOHfHRRx9ZfsJIZGQktm7diqSkJMyaNavGRt0qT2xlYw2nTJli+Sx//OMflVkT6A+S1nZK+jmTlAWw5o0U3rk12fnz5/Hzzz9b5o4UcHnCQFBQUHmjvnXr1vJG/a677lJip2RtJN3pkJRFMqs36hVJyiJBp06d8MYbb2DEiBE1Pp6eno4ZM2bghx9+MLawBpL0cyYhixVHm7G5DZD6nhdd0103q7JCoy5p3JSkLNJY8U6HN86cOQNd19GmTRucOnUKW7ZsQXR0NGJiYswuzSsVj3e2IknHvFdl5Wsj7fnfijdSOC0hQMLDw9G6deta38oet4KzZ8/W66158+ZKN7aArF2skrJIU98lI1aUlpaG3r17o0+fPli8eDHi4+OxadMmjBkzBmlpaWaXd0UFBQV44oknEBERgcjISERGRiIiIgJTp05FQUGB2eV55YUXXkB+fj66du2KhQsXYt26dVi3bh0WLFiA6Oho5OfnY/bs2WaXWW9Sro2k53/AmstfuOY2QLKzs8v/W9d1DB06FGlpabjmmmtMrMo34eHhda5TK1ueYIURWmXjpu69994a73RYadyUpCzS7N69GwsWLKj18UGDBpUfFGI1ycnJ2LdvX60D3FU4nag2+fn5uP3223Hs2DGMGzeu/E7Ut99+i6VLl2LTpk3IycmxTOMhaW2npGsj6fkfsOYMci5LMEhoaCh2796NG264wexSvFZxjl1d/6P269fP6NK8JmkXq6Qs0kheMnLzzTfjm2++AXB5CkzFNfaqT36ZNm0aNm3ahM8++6za/xcnT57EoEGDcPfdd+Mvf/mLSRX6zuprOyVfGys//wMWXf5iyMAx0lu2bKkfOnTI7DL8wupZfvzxR33IkCF6UFCQrmmarmmaHhQUpA8ZMsQS82ArkpRFkhtuuEHPyMio9fE1a9bo119/vXEF+VGfPn3K53cWFBSUf7yoqKjSPG8VdezYUd+wYUOtj3/88cd6x44djSuIykm+NlZ/zrTiDHLeuTWI1X9zq0hKFqvf6ahIUhYJLHmno54KCwvRqlWrakuVnE4njhw5gltuucWkyq6sadOmOHToEK699toaH//pp5/QuXPnGk/JU5GkjUvSrk1FEp4zrTaDnGtuDSRpvqIErVu3VvqJ2BuSskjwwgsvID09HV27dq11yYiVNvpUFBYWVuPH7XY77Ha7wdV4JyIiAj/++GOtDdThw4fRpk0bg6vynaT9ENKuTVVWf/632gxy3rkNkISEhErvr1+/HgMHDkSLFi0qfdwqJ+FUFBoaij179ij3mxqRSqx2p6M2ku4OPvroozh06BA2btyIJk2aVHrs4sWLGDx4MG644Qb84x//MKlC70jaDyHp2kh+/i+zdetW9OnTB02bNjW7lBqxuQ2QRx55pF6f9+677wa4koZrDP+jEgWKVe501CYoKEjM3cGffvqp/An5iSeewI033ghd17F//36kpKTg4sWL2LFjB6Kioswu1SdWfvlb0rWR9Pxfm1atWsHhcCj7s8bmlq6oMfyPSkQ1k3R3ELj88nZSUhI+/fTTSnfUf//732PRokW1TriwAis3t4DsayON6j9rbG6JiPxM8gllqj+p1deZM2fw/fffAwA6d+5s6fWcZXhtyCiq/6zxhDIDlZSU4NixY9U+vm/fPhOqIaJAkXxCmRStW7dG37590bdvX1HNk9U3LgH/vTZdunQp/9ipU6eQnp7O50tFvPPOO0rPUOedW4OsXr0a06ZNQ0REBDweD5YsWYJbb70VQOWh6FZRUlKC/Pz8ai9N7tu3z3LnyxP5mxXPYq8v1e/Y1EXaHXXJ+yH+/ve/Y968eQCAmTNnYvny5ejVqxc2b96Mp556SumT8CSZPn16vT9XpV/YOQrMIHPnzsXOnTsRGRmJnTt3YsKECXj++efx0EMPwWq/X9TVqD/88MOWa9SJ/M2KZ7F7w6p3B+t7R90qzW3VsWzjx483qRL/e+uttyx7zLMk9T1xULV/E9jcGqS0tLT8Fn7v3r2xefNmxMfH4+DBg8r9UFyJpEadKBCseBZ7bareHbxw4QISExMteXdw9+7dWLBgQa2PDxo0CK+//rqBFTWM5E28wcHBCAkJQUhICDp37oy2bdsCuNzQW+0508qys7PNLsEnbG4NYrfbsWfPHvTs2RMA0KZNG2zcuBETJkzAnj17TK7OO5IadaJAGDp0KP785z/j3nvvrfGEspdeegl/+MMfTKrOO5LuDkq/oy6JzWbDhQsX0KxZs0oTO4qLi02siqyCa24N8tNPPyE4OBjt2rWr9tjWrVtx5513mlCVbwYMGIC33nqrvFEHgEuXLmHChAn44IMP4HK5TKyOyHw///wzbr75ZthstlpPKPvmm2+U3pAhUadOnfDGG29gxIgRNT6enp6OGTNm4IcffjC2MB9daQYxcPnlYiv+m2zlY57JfGxuA0TaxoWKJDXqRIEi5YQySf+WPfnkk/j888/x9ddf13hHvW/fvhgwYACSk5NNqtA769atq/Wxbdu2ITk5GR6PBxcuXDCwKiLzsbkNkGHDhmHAgAF4+umna3w8OTkZ2dnZyMjIMLgy70l6ciMymtVPKJP0b1ljuKOem5uL5557DuvXr8e4ceMwZ84cdOzY0eyyrkjSMc9kPja3ASJpFJCkJzci8o6kf8sAOXfUqzp+/DheeuklLFu2DIMHD8b8+fPRvXt3s8uqN0nHPJP5uKEsQCRtXJC2w5go0CS92iHp3zLgcrP+0UcfWf6OepnCwkK88sorePvttxEbG4tNmzZZ4ueqqoq78us65pmoPtjcBoikUUDSntyIAk3SPFVJ/5ZV1Lp1a9xyyy04c+ZM+R3cU6dOYcuWLYiOjrbEYTQLFy7EggUL0K5dO6xYsQLDhw83uySf9evXr9L7NpsNt912myUPCyHz8fjdACkbBVTTQn6rjQIqe3KrjVWf3IgCZffu3bj33ntrfXzQoEHYuXOngRX5TtK/ZVWlpaWhd+/e6NOnDxYvXoz4+Hhs2rQJY8aMQVpamtnlXdFzzz2HCxcuoHPnzli2bBkSEhJqfCNqbLjmNkAkbVyQtsOYKNCaNWtW593OgwcPokePHigpKTG4Mu9J+resqp49e2L79u21noLlcDjMLrFOEydOrNdscSse9mDlY57JfFyWECCRkZHIycnBlClTMGvWrBo3LljlyeCFF15Aeno6unbtWuuT2+zZs02ukkgdkl7Kl/RvWVVWPwVr6dKlZpcQUFa4BqQm3rk1gISNC1J3GBMFgtRXOyT8W1bRLbfcgi1btqBZs2YoLCwsP42tuLgYv/3tb7Fr1y6TK/Re2RriNm3aWGoNcdXlE+vXr8fAgQMtecwzmY/NLXlF2pMbUSBIfilfEmmnYKWlpeGVV14BAMycORPLly9Hr169sHnzZjz11FN47LHHTK6wdo888ki9Ps+KSyzIeGxuiYgCgK92kNGsvoaYyF+45paIKACkzVOVQPopWFZeQyxpNjSZj80tEVEAlc1TLSkpQX5+frXmdt++fcqvh5QiPDxc9ClYNpsNFy5cQLNmzfDFF1+Uf7y4uNjEqupH0mxoMh+XJRARBdjq1asxbdo0REREwOPxYMmSJbj11lsBADfffDO++eYbkytsHCo2fHWdglX1QAGrsPIaYmnHPJO5eOeWiCjA5s6di507dyIyMhI7d+7EhAkT8Pzzz+Ohhx4C7y8YR/opWGXTHqqy2+2w2+0GV+MdnoRJ/sTmlogowEpLS8snI/Tu3RubN29GfHw8Dh48qPxaSFKXpDXEkmZDk/l4/C4RUYDZ7Xbs2bOn/P02bdpg48aN2L9/f6WPE3kjPDwcrVu3rvWt7HErkHzMMxmPa26JiALsp59+QnBwMNq1a1ftsa1bt+LOO+80oSoKDQ3Fnj17LDuWTdIaYs6GJn9ic0tERI2C9FOwQkNDsXv3bsuuIeZsaPIXrrklIvIzSWshJam64Wr8+PEmVUI14Wxo8hfeuSUi8rOgoCDR81RJTVa/c0vkL7xzS0TkZ9nZ2eX/XddaSDJWYzgFi9M3iHjnlogo4HhHTQ3Dhg3DgAED8PTTT9f4eHJyMrKzs5GRkWFwZb6RvoaYyFe8c0tERI3C7t27sWDBglofHzRoEF5//XUDK2oYriEmqhmbWyIiahSknYL17rvvml0CkZJ4iAMRkQG4FtJ8Zadg1cZqp2BlZWWhW7duNU7nKCwsRExMDLZs2WJCZUTm4p1bIiI/q7oW8sKFC0hMTORaSJOVnYJ17733olmzZpUes+IpWH/961/x+OOP1zhSLiwsDJMnT8abb75p6Q1yRL7ghjIiIj975JFH6vV5fFnZWNJOwerYsSM2bNiAm266qcbHDxw4gEGDBiEvL8/gyojMxeaWiIgaDUmnYDVr1gx79+5F586da3z84MGD6NGjB0pKSgyujMhcXHNLRORnXAuprrJTsE6fPo3t27fjq6++wunTp/HRRx9ZqrEF5K0hJvIX3rklIvIzafNUSU1PPvkkPv/8c3z99dc1riHu27cvBgwYgOTkZJMqJDIHm1siIj/jWkgygrQ1xET+wmkJRER+Jm2eKqkpMjISOTk5mDJlCmbNmlXjGmI2ttQYsbklIvKzsrWQtW304VpI8peyNcRnzpzBwYMHoes6unTpgtatW5tdGpFpuCyBiMjPuBaSiMg8bG6JiPyMayGJiMzD5paIKAAkzVMlIrISNrdERAHEtZBERMZic0tEREREYvCEMiIiIiISg80tEREREYnB5paIiIiIxGBzS0RERERisLklIiIiIjHY3BIRERGRGGxuiYiIiEgMNrdEREREJAabWyIiIiIS4/8D2ezj5it3uzEAAAAASUVORK5CYII=", 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", 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SjbsiCFVdXY0PPvgA1dXVVi+lxTS1ALp62CKTphZAVw9bZNLUAujqkdrCwdYC0rbGaAlNLYCuHrbIpKkF0NXDFpk0tQC6eiS2cLAlIiIiIhU42BIRERGRCrx4zOSLx2o2NHa73XA4HCH/eqGkqQXQ1cMWmTS1ALp62CKTphZAV4/ZLbx4TLDIyEirl9BqNLUAunrYIpOmFkBXD1tk0tQC6OqR2MLB1mQ+nw8ffvihyBOum0tTC6Crhy0yaWoBdPWwRSZNLYCuHqktHGyJiIiISAUOtkRERESkQlCD7ZtvvokTJ0609lqIiIiIiIIW1K4ILpcLO3bswNChQ0OxJlNZsSuCz+dDWFiYiisitbQAunrYIpOmFkBXD1tk0tQC6OoxuyWkuyK08R3CWqyystLqJbQaTS2Arh62yKSpBdDVwxaZNLUAunoktvAcW5P5fD7k5OSIu4owGJpaAF09bJFJUwugq4ctMmlqAXT1SG0JerA9dOhQa66DiIiIiKhFwoL9jRMmTEBkZCSSk5MxYMCAOm8dO3ZszTUSERERETUq6MF23rx5qKysxO7du7FmzRosXbq09uThhISE2iF34MCBmDx5cqstWIOwsKD/2MXR1ALo6mGLTJpaAF09bJFJUwugq0diS1C7IjidTuTl5dXZFeGHH37A7t2767x988038Pv98Pv9rbro1mT2rghERERE1Dwh3RWhPj169MC4cePwn//5n8jKykJhYSFOnDiB/Pz8oD/n4sWLMWDAAERHRyM6OhppaWn46KOPah8/ffo0Zs+ejc6dOyMqKgrp6ek4fPhwa+SETCAQgNfrRSAQsHopLaapBdDVwxaZNLUAunrYIpOmFkBXj9SWkO6KEB4ejtTU1KB/f48ePfD0008jPz8fn332GUaNGoVbbrkFe/bsAQA89NBDWLduHd59913k5ubi4MGDmDBhQiutPjT8fj927Ngh+lXsptLUAujqYYtMmloAXT1skUlTC6CrR2pLUCdHfPHFF/B4PK29lvPcdNNNdX795JNPYvHixcjLy0OPHj2wdOlSZGVlYdSoUQCA119/HX379kVeXh6GDRsW8vURERERkRxBvWLbv39/xMbGtvJSLszv92PFihU4efIk0tLSkJ+fj+rqaowePbr2Y/r06YPExETs2LGjwc9TVVWF8vLyOm9EREREZH/ib9Dw5ZdfIioqChEREZgxYways7PRr18/lJSUIDw8/LwBu2vXrigpKWnw82VkZCAmJqb2zYxXns/mcDjgdrttfys9QFcLoKuHLTJpagF09bBFJk0tgK4eqS1B7YpgpjNnzqC4uBhlZWVYtWoVXnvtNeTm5qKgoAB33303qqqq6nz80KFDMXLkSCxYsKDez1dVVVXn95SXl8Pj8XBXBCIiIiKhTN8VIVTCw8Nx+eWXY/DgwcjIyMDAgQPx4osvolu3bjhz5gxKS0vrfPzhw4fRrVu3Bj9fRERE7S4LNW9mCgQC2L9/v7irCIOhqQXQ1cMWmTS1ALp62CKTphZAV4/UlpAOtn/84x/x6quv4vTp0632OQOBAKqqqjB48GC0a9cOGzdurH2sqKgIxcXFSEtLa7Wv19r8fj8KCgrEXUUYDE0tgK4etsikqQXQ1cMWmTS1ALp6pLaE9JYR//M//wMAePTRRzF37lw88sgjzfr98+fPxw033IDExERUVFQgKysLmzdvxscff4yYmBjcc889mDt3Ljp16oTo6Gjcf//9SEtL444IRERERG1QSAfbf/3rXzh58iS2b9+OrVu3Nvv3e71e3HnnnTh06BBiYmIwYMAAfPzxx/j5z38OAFi4cCGcTifS09NRVVWFsWPHIjMzs7UziIiIiMgGQjrYXnLJJQCAfv364d57723271+6dOkFH2/fvj0WLVqERYsWBbU+KzgcDnTp0kXcVYTB0NQC6Ophi0yaWgBdPWyRSVMLoKtHakur7Yrg8/kQFhbSOTkkmnqVHRERERFZw7RdEXJyctC7d29EREQgNjYWw4cPx29+8xv85S9/weeff44zZ8609Euo4vf7sXfvXnEnWwdDUwugq4ctMmlqAXT1sEUmTS2Arh6pLS0ebKdPn47w8HC8/PLLePTRR9GzZ09s2bIFM2fOxFVXXQW3290a61QjEAigqKhI3PYYwdDUAujqYYtMmloAXT1skUlTC6CrR2pLi88dOHToEFatWoWxY8fWeX91dTUKCwuxe/fuln4JIiIiIqJGtXiw/dnPfgav13ve+9u1a4dBgwZh0KBBLf0SRERERESNavGpCAsWLMCCBQtw6NCh1liPek6nE4mJiXA6xd/0rVGaWgBdPWyRSVMLoKuHLTJpagF09UhtafGuCNXV1Zg9ezbWrFmDe++9F6NHj8agQYPQuXPn1lpjSHFXBCIiIiLZTNsV4c4778Rrr72G8PBwvPLKKxgzZgzi4+Ph8Xhw880347HHHmvpl1DF7/dj165d4q4iDIamFkBXD1tk0tQC6Ophi0yaWgBdPVJbWjzYrlu3Do8//jgOHjyI48ePY//+/cjOzsZ9990Hl8uFN998szXWqUYgEEBxcbG4qwiDoakF0NXDFpk0tQC6etgik6YWQFeP1JYWXzwWFxeHoUOH1v7a4/HUvlpLRERERGSWFr9iO23aNKxevbo11kJEREREFLQWD7anTp3C+vXr8cgjj6C0tLQVlqSb0+lEUlKSuKsIg6GpBdDVwxaZNLUAunrYIpOmFkBXj9SWFu+K4PF48OOPPwKou3dtamoqBg0ahAEDBqB9+/atsthQ4K4IRERERLKZtivCgQMHcPToUWzcuBELFixA3759sXPnTjzwwAMYNmwYb6l7Dp/Ph+3bt8Pn81m9lBbT1ALo6mGLTJpaAF09bJFJUwugq0dqS4svHgOATp06YeTIkRg5cmTt+3w+H77++mveUvcchmHgyJEjaOEL5SJoagF09bBFJk0tgK4etsikqQXQ1SO1pVUG23o/cVgY+vfvj/79+4fqSxARERER1WryqQhvv/02LrvsMqxfv77Bj1m/fj0uu+wyrFq1qlUWR0RERETUVM0abEtLSzFq1KgGP2bkyJE4fvw4li9f3iqL08jlciE1NRUul8vqpbSYphZAVw9bZNLUAujqYYtMmloAXT1SW5q8K8Kll16KSy+9FJs3b77gx40YMQLFxcX45z//2RrrCznuikBEREQkW6vvilBSUoKLL7640Y+7+OKLUVJS0tRP2+b4fD5s2rRJ3FWEwdDUAujqYYtMmloAXT1skUlTC6CrR2pLkwfbiy66CD/99FOjH/fTTz8hPDy8RYvSzDAMVFRUiLuKMBiaWgBdPWyRSVMLoKuHLTJpagF09UhtafJgm5ycjG3btuHYsWMNfsyxY8ewdetW9OnTp1UWR0RERETUVE0ebNPT03Hy5EnccccdOHXq1HmPV1ZW4te//jUqKytx2223teoiiYiIiIga0+SLxyorK3HVVVdh79696N69O26//fbaV2b37t2Lt99+GwcPHkRSUhI+++wzXHTRRSFdeGsx++KxQCCAo0ePIi4uTtz9lZtLUwugq4ctMmlqAXT1sEUmTS2Arh6zW5o6rzV5sAWAH374AePHj0d+fj4cDkedxwzDwKBBg5CdnY3ExMTgV24y7opAREREJFur74oAAD169MAnn3yC9957D9OnT8f111+P66+/HtOmTUN2djY+++wzWw21VqiursYHH3yA6upqq5fSYppaAF09bJFJUwugq4ctMmlqAXT1SG1p9i11HQ4Hbr75Ztx8882hWE+bIG1rjJbQ1ALo6mGLTJpaAF09bJFJUwugq0dii71P8CAiIiIi+n8cbImIiIhIhWZdPKaR2ReP1Wxo7Ha7z7sAz240tQC6etgik6YWQFcPW2TS1ALo6jG7JSQXj1HriIyMtHoJrUZTC6Crhy0yaWoBdPWwRSZNLYCuHoktHGxN5vP58OGHH4o84bq5NLUAunrYIpOmFkBXD1tk0tQC6OqR2sLBloiIiIhUED3YZmRkYMiQIXC73YiPj8ett96KoqKiOh8zYsQIOByOOm8zZsywaMVEREREZBXRg21ubi5mz56NvLw8/P3vf0d1dTXGjBmDkydP1vm4++67D4cOHap9e+aZZyxaMRERERFZxVa7Ihw5cgTx8fHIzc3F8OHDAfz7FdvU1FT86U9/CupzWrErgs/nQ1hYmIorIrW0ALp62CKTphZAVw9bZNLUAujqMbtF5a4IZWVlAIBOnTrVef/y5csRFxeHlJQUzJ8/H6dOnWrwc1RVVaG8vLzOm9kqKytN/5qhoqkF0NXDFpk0tQC6etgik6YWQFePxBbbDLaBQAAPPvggrrnmGqSkpNS+//bbb8dbb72FnJwczJ8/H2+++SbuuOOOBj9PRkYGYmJiat88Ho8Zy6/l8/mQk5Mj7irCYGhqAXT1sEUmTS2Arh62yKSpBdDVI7UlzOoFNNXs2bNRWFiIrVu31nn/tGnTav+7f//+6N69O6677jp899136NWr13mfZ/78+Zg7d27tr8vLy00fbomIiIio9dlisJ0zZw7ef/99bNmyBT169Ljgx1599dUAgH379tU72EZERCAiIiIk6yQiIiIi64gebA3DwP3334/s7Gxs3rwZPXv2bPT3FBQUAAC6d+8e4tUFLyxM9B97s2hqAXT1sEUmTS2Arh62yKSpBdDVI7FF9K4Is2bNQlZWFv76178iKSmp9v0xMTGIjIzEd999h6ysLIwbNw6dO3fG7t278dBDD6FHjx7Izc1t0tcwe1cEIiIiImoeFbsiLF68GGVlZRgxYgS6d+9e+/bOO+8AAMLDw7FhwwaMGTMGffr0wcMPP4z09HSsW7fO4pU3LBAIwOv1IhAIWL2UFtPUAujqYYtMmloAXT1skUlTC6CrR2qL6MHWMIx63+666y4AgMfjQW5uLn766SecPn0a3377LZ555hnRr7z6/X7s2LEDfr/f6qW0mKYWQFcPW2TS1ALo6mGLTJpaAF09UltED7ZERERERE3FwZaIiIiIVOBgazKHwwG32237W+kBuloAXT1skUlTC6Crhy0yaWoBdPVIbRG9K4IZuCsCERERkWwqdkXQKBAIYP/+/eKuIgyGphZAVw9bZNLUAujqYYtMmloAXT1SWzjYmszv96OgoEDcVYTB0NQC6Ophi0yaWgBdPWyRSVMLoKtHagsHWyIiIiJSgYMtEREREanAwdZkDocDXbp0EXcVYTA0tQC6etgik6YWQFcPW2TS1ALo6pHawl0RuCsCERERkWjcFUEov9+PvXv3ijvZOhiaWgBdPWyRSVMLoKuHLTJpagF09Uht4WBrskAggKKiInHbYwRDUwugq4ctMmlqAXT1sEUmTS0A8M477yAtLQ0rV660eiktJvXYcLAlIqI2791338Vdd92FVatWWb0UUsrr9WLWrFkoLS3FrFmz4PV6rV6SShxsiYioTePAQaFmGAZmzJiBEydOAAAqKiowc+ZMi1elEwdbkzmdTiQmJsLptP8fvaYWQFcPW2TS1ALo6NE4cGg4LjW0tKxcuRLZ2dm156P6/X6sWbPG1qckSD023BWBuyIQEbVZ77zzDiZPnlzv+ydNmmTBikgbr9eLpKQklJWV4eyRy+FwICYmBkVFRYiPj7dwhfbQ1HmNg63Jg63f78fu3bsxYMAAuFyukH+9UNLUAujqYYtMmloA+/doHTjsflzOJr1lZEHBBR83DAN75s3D0dxcoL7dA5xOxI0YgZTnn2/wc+SkprZskSFi9rFp6rwWFvKVUB2BQADFxcVISUkR+Ze0OTS1ALp62CKTphZAdk9TB47SigrgnNd3DMNAaXk5kqdMueDAAcgcOiQfl+aS3tLY8S8sLET/TZsa/oBAAEc3bcLL7dohOTm5dRcXYlKPDQdbIiJSpy0PHCRHcnIyxo8fj7Vr19a736vL5cItt9zC51grknXGLxERkQlqBo6GXmlyuVyYMGECBw5qEYfDgSVLlsDtdp9361mHw4Ho6GgsXrzYotXpxMHWZE6nE0lJSeKuIgyGphZAVw9bZNLUAti7R/PAYefjci4NLfHx8ViyZAnOvaTJMAwsWbLEludxA3KPjazVtAEulwt9+vQRdT5KsDS1ALp62CKTphYAWL16NUaOHIk1a9ZYvZSgaB047H5czqbl78ykSZPq/ISg5icCdt55Q+qx4WBrMp/Ph+3bt8Pn81m9lBbT1ALo6mGLTJpavF4vpk2bhpKSEkybNs22NzXQNnBoOS41tPydqfkJQVRUFADA7Xbb9icCNaQeGw62JjMMA0eOHDnvFQI70tQC6Ophi0xaWjTd1EDTwKHpuNTQ8ncG+PdPCDIzMxEbG4vMzEzb/kSghtRjw8GWiIiaRdtdlLQMHNqOi0YTJ07EsmXLcNttt1m9FLU42BIRUZN5vV7MmDGj3guupk+fbtsffdt94NB6XIiai4OtyVwuF1JTU8WdbB0MTS2Arh62yGT3lpofdVdUVNR7wZWdf/Rt52PD42IfmnqktvCWuibfUpeISKrG7tZ1Yt8+fDZxYqOfZ8iqVejQq1e9j0m8U5fdFRYWon///k36OO7LS3bV5HnNaOPKysoMAEZZWZkpX6+6utrYuHGjUV1dbcrXCyVNLYahq4ctMmVlZRkdO3Y03n77bauXEpRAIGCMHz/ecLlcBoDz3lwulzFhwgSrlxkUOz/PeFzsQ1OP2S1Nndd4KoLJjP//sZCh4IVyTS2Arh62yOP1ejFz5kwcP34cM2fOtOU5j5pvamDn5xmPi31o6pHawsGWiCjEDEXbMGm9qYHd8biQ2d59913cddddWLVqldVLqYODLRFRiGnbhknbTQ204HEhs3i9XsyaNQulpaWYNWuWqJ9A8eIxky8eCwQCOHr0KOLi4sTdX7m5NLUAunrYIofX60VSUhLKysrqvJrmcDgQExODoqIiW76a5vV6ccUVV6CsrAyxsbG27ahh9+dZDR4X2TT0GIaB9PR0rF27Fn6/Hy6XC7fccgtWr14d0q/b1HlN9J9qRkYGhgwZArfbjfj4eNx6660oKiqq8zGnT5/G7Nmz0blzZ0RFRSE9PR2HDx+2aMWNczqdiI+Pt+0T+myaWgBdPWyRwVC8DVN8fDz+/Oc/o1u3bvjzn/9s6+EJsPfz7Gw8LrJp6JH+EyjRr9hef/31mDx5MoYMGQKfz4ff//73KCwsxFdffYUOHToAAGbOnIkPPvgAy5YtQ0xMDObMmQOn04lt27Y16WuY/YptdXU1/va3v2HMmDFo165dyL9eKGlqAXT1sMU8F9oiqzW2xwLkbpEl/dg0B1tk0tQC2L/Hyp9ANXVeCwvJV28l69evr/PrZcuWIT4+Hvn5+Rg+fDjKysqwdOlSZGVlYdSoUQCA119/HX379kVeXh6GDRtmxbIb5fP5rF5Cq9HUAujqYYs5LjR0GgMHIn38+Nof2Z2r9kd46ekhXGFoST42zcUWmTS1AHJ7GtvH2jAM7Jk3D6UVFUA9P4EqLS9H8pQpSHn++Qt+nlB/oy56sD1XWVkZAKBTp04AgPz8fFRXV2P06NG1H9OnTx8kJiZix44d9Q62VVVVqKqqqv11eXl5iFdNRC3x7rvvYvbs2cjMzMSUKVOsXk6z1GzDlJOTU+8rHHbehomIdGls4CwsLET/TZsa/oBAAEc3bcLL7dpZeiMQ25zkEQgE8OCDD+Kaa65BSkoKAKCkpATh4eGIjY2t87Fdu3ZFSUlJvZ8nIyMDMTExtW8ejyfUSyeiIEm+8rapuA0TUfCkbinVFiUnJ9fZdeNcNbtwWH13O9Hn2J5t5syZ+Oijj7B161b06NEDAJCVlYW77767ziuwADB06FCMHDkSCxYsOO/z1PeKrcfjMe0c25oLRurbSNtuNLUAuno0tFh15W0oaGo5m4bnWQ22yFNzPmdpaamKHR4A+x+bC51jGxsbi71791p+jq0tXrGdM2cO3n//feTk5NQOtQDQrVs3nDlzBqWlpXU+/vDhw+jWrVu9nysiIgLR0dF13swWGRlp+tcMFU0tgK4eu7dIv/K2Oc6+MxQAuN1uNacg2P15dja2yHH2jiKAvW9qci47Hxs7/ARK9GBrGAbmzJmD7OxsbNq0CT179qzz+ODBg9GuXTts3Lix9n1FRUUoLi5GWlqa2cttEp/Phw8//FDsyePNoakF0NVj9xav14sZM2bUe3vQ6dOn2/aUhEWLFiE2NhaZmZki/gfQUnZ/np2NLbJo+sb2bBqOjfQbgYgebGfPno233noLWVlZcLvdKCkpQUlJCSorKwEAMTExuOeeezB37lzk5OQgPz8fd999N9LS0sTuiEBEF6Z579eJEydi2bJluO2226xeCpFYGr+x1aTmJ1BRUVEA5P0ESvRgu3jxYpSVlWHEiBHo3r177ds777xT+zELFy7EjTfeiPT0dAwfPhzdunXDmjVrLFw1EbXEnj176rxSc66aV2727Nlj8sqIKNQ0f2OrSXx8PDIzM0X+BEr0dl9Nua6tffv2WLRoERYtWmTCiogo1GquvG1s71err7wlouA0elOT7OwGH6/5xnbo6tW2vKmJJhMnTkSHDh0wbtw4q5dSh212RQgVs+88ZhgGfD4fwsLCbHlF5Nk0tQC6euzeYuWVt6Fk9+NyLk09bJHh3B1EzmX3HUXsfGzOZXaLql0RtKk5R1gDTS2Arh47t9jhyttg2fm41EdTD1usd/YOIvWdY6vhpiZ2PTb1kdjCwdZkPp8POTk5tr4isoamFkBXj4YW6VfeBkPDcTmbph62yKH5G1u7H5uzSW3hYEtEIkm/8paIQkfjN7ZkDg62RCSW5CtviSh0+I0tBYuDrQXCwkRvRtEsmloAXT1aWiZOnIi33npLzd6vWo5LDU09bJFF6ze2Go5NDYkt3BXB5F0RiIiIiKh5uCuCUIFAAF6vF4FAwOqltJimFkBXz4oVKxAfH1/nZiZ2pem4aGoBdPWwRSZNLYCuHqktHGxN5vf7sWPHjgbvqmQnmlqAfw+DSUlJth8Ga25HeeTIEcyYMcP2t5/U9DzT1ALo6mGLTJpaAF09Uls42BLh38PgrFmzUFpailmzZtl2GKy5HeWJEycAgLefJCKiNoWDLbV5mobBlStXIjs7u/Y76JrbT65cudLilREREYUeB1uTORyOeu+oYkdaWrQMgzWnINR3t57p06fb9lVoLc8zQFcLoKuHLTJpagF09Uht4a4I3BWhTfN6vUhKSkJZWVmdu9w4HA7ExMSgqKjIFlvMaL+/OhERtW1NndfkbUCmXCAQwIEDB+DxeOB02vsFc7u31JyCUFFRUe+tG2tOSZAwDI4sKLjg4yf27cNn2dkNPl7zKvTQ1avRoVevBj8uJzU1yBWGjt2fZ2fT1ALo6mGLTJpaAF09Uls42JrM7/ejoKAACQkJop4IwVixYgVmz56NzMxMTJkyxerlNNuePXuQ3YRhcM+ePUhOTjZxZedrbOA0Bg5E+vjxjb9im54eohWGjqa/M5paAF09bJFJUwugq0dqi5yVkK1o2EUgOTm5zr3Iz1Vzb3Krh9qmqLn9ZH3nOzkcDkRHR/N2lEREpB4HW2o2LbsIaBsG4+PjsWTJknpPq1iyZIktzhUmIiJqCQ62JnM4HOjSpYu4qwibQ8suAoC+YXDSpEl1XoWuedV50qRJFq8seBr+ztTQ1ALo6mGLTJpaAF09Ulu4KwJ3RWgWLbsInO3cHQXsvoNAzTEqLS1Fx44dsXfvXtsdEyIiorM1dV7jK7Ym8/v92Lt3r7hb0DVFU3cRsJuaUxKioqIAAG6321anIJwrPj4eixcvRlxcHBYvXmz7odbOf2fOpakF0NXDFpk0tQC6eqS2cFcEkwUCARQVFaFXr14NXrRkpQttK6V5S6n4+HhkZmbW7vJg92EwPT0dkZGRGDdunNVLaTHpf2eaQ1MLoKuHLTJpagF09Uht4WBLdVxo6NS8pRQATJw4ER06dFAxDBIREbVFPBWBmkzbLgJERESkCwdbkzmdTiQmJorazLg5tO0icDa7H5uzsUUmTS2Arh62yKSpBdDVI7WFuyJwV4Rm07aLABEREcnGXRGE8vv92LVrl7irCJtD2y4CNTQcmxpskUlTC6Crhy0yaWoBdPVIbeFga7JAIIDi4mIEAgGrl9IiNbsIxMbGqthFANBzbAC2SKWpBdDVwxaZNLUAunqktnBXBAoadxEgIiIiSdr8YFtzinF5ebkpX6+6uhqnTp1CeXk52rVrZ8rXDBVNLYCuHrbIpKkF0NXDFpk0tQC6esxuqZnTGrs0rM0PthUVFQAAj8dj8UqIiIiI6EIqKioQExPT4ONtfleEQCCAgwcP1rs3ayiUl5fD4/HgwIEDtt+FQVMLoKuHLTJpagF09bBFJk0tgK4es1sMw0BFRQUSEhIuuMVYm3/F1ul0okePHqZ/3ejoaNs/qWtoagF09bBFJk0tgK4etsikqQXQ1WNmy4Veqa3BXRGIiIiISAUOtkRERESkAgdbk0VEROCxxx5DRESE1UtpMU0tgK4etsikqQXQ1cMWmTS1ALp6pLa0+YvHiIiIiEgHvmJLRERERCpwsCUiIiIiFTjYEhEREZEKHGyJiIiISAUOtkRERESkQpu/8xgF5/jx4/jb3/6GH3/8EQCQkJCAsWPHomPHjhavrPXs3LkTV199tdXLaJbKykocO3YMF198cZ3379mzB8nJyRatKjht4TkG8HlmtePHj8MwDHTq1AlHjhzBP/7xDyQlJdmuoz5PPPEEHn30UauXQWg7/55JwO2+TKLpSb106VI8++yzGDduHBISEgAAP/74I9avX4958+bhnnvusXiFrSMxMRHFxcVWL6PJVq1ahQcffBBxcXEIBAJ49dVXawemK6+8Ep9//rnFK2y6tvIcA/g8s9Jrr72Gp556CgDw29/+FsuXL8fAgQOxZcsWPPDAA7j33nstXmHT/e53v6vza8Mw8Nprr+G+++4DADzzzDNWLKtFysvLsX79evz4449wuVzo3bs3xo4dC6fTXj9s1vbv2c6dOxEfH4+ePXti69atyMvLQ1JSEm666SarlwaAg60ptD2pk5KS8Pnnn6NDhw513n/ixAlceeWV+OabbyxaWfNNmjSp3vcbhoGPPvoIJ06cMHlFwUtNTcXHH3+Mrl27Ij8/H1OnTsXvf/973H777Rg0aBB27dpl9RKbTNNzDODzTKoBAwZg586dqKysRGJiIv71r3+hS5cuKCsrw7XXXouCggKrl9hkl156KdLS0nDDDTeg5n/r8+bNw3PPPQcAmDp1qpXLa7bly5fj5ZdfxsCBA7F582akpaUhLCwMn376KZYtW4bU1FSrl9hkmv49e/DBB/HZZ5/B5/Nh9OjR2LZtG37xi19g8+bN6N27NxYuXGj1EnkqghmeeeaZep/Ujz/+OK688krbDbYOhwMVFRXn9VRUVMDhcFi0quBs2LABb775JqKiouq83zAMbNmyxaJVBae6uhpdu3YFAAwePBhbtmzB+PHjsW/fPtsdF03PMYDPM6nCwsIQGRmJyMhIXH755ejSpQsAICYmxnYtX3/9NZ588kmsW7cOGRkZuPzyy/GHP/zBdgNtjQULFuCTTz5B+/btcfz4cdx2223YuHEjioqKcOedd2Lnzp1WL7HJNP17tmHDBnz55ZeoqqpCjx498OOPPyIiIgIPPfSQmG82ONiaQNOTGgCee+45XHvttUhJSak9x+6HH37Anj178Pzzz1u8uuYZMWIE3G43hg8fft5jAwYMsGBFwYuPj8fu3btr192pUyf8/e9/x9SpU7F7926LV9c8mp5jAJ9nUrlcLpw+fRrt27dHbm5u7fvt9Ap6jcjISDzxxBPYt28f5s2bh6SkJPj9fquXFbRAIACXywXg38eptLQUwL9f/Tx58qSFK2s+bf+e+Xw+VFVVobq6GqdPn0ZERAT8fr+Y5xtPRTDB+++/j4cffrjBJ/WNN95o8Qqbz+/345NPPsHBgwcB/Puc4aFDh9b+Q0Tm++GHHxAWFoZu3bqd99i2bdtwzTXXWLCq4PE5JpOm51lZWRmio6PPe4HB6/Vi//79GDJkiEUra7m1a9ciLy+v9hxiu3nuueewYsUKpKWlYfPmzfjNb36D++67D0eOHMEtt9yC7du3W73EZtHy79nChQuxaNEi+P1+PPzww3j//ffRu3dvbN++HePGjcPjjz9u9RI52JpFy5OaiIjIDIWFhfj666+RkpKCvn37Wr0c+n9Hjx4FAMTFxaG0tBQbNmyAx+MRs7sLB1uL2XGrnwvR1MMWmTS1ALp62CKTHVrKy8ub9HHR0dEhXom5pB8bOx4XDrYWs9tWP43R1MMWmTS1ALp62CKTHVqcTucFrzkxDAMOh0PMeZytRfqxseNx4cVjJrjQVj/Hjh0zeTUtp6mHLTJpagF09bBFJru35OTk1P63YRgYN24cXnvttfNuAmJHdj42djwufMXWBJ06dWpwq59f/vKXOHz4sEUrC46mHrbIpKkF0NXDFpk0tQCA2+3GF198gcsuu8zqpbSYpmNjh+PCV2xNoGmrH0BXD1tk0tQC6Ophi0yaWrThsTEXX7ElIiIiUezwymBbZIfjwldsqVF2vCqyIWyRSVMLoKuHLTJpammIHW9gBOg/NtKPC1+xDQFtT2o7XhXZELbIpKkF0NXDFpk0tQDAhAkT6vx63bp1GDVq1Hl37FyzZo2ZywqKpmNjx+PCV2xDIDY2Vs2TGrDnVZENYYtMmloAXT1skUlTCwDExMTU+fUdd9xh0UpaTtOxseNx4Su2IXD2Pccv9KS+9tprzV5aq7DDOTZNxRaZNLUAunrYIpOmFm14bMzFV2xD4NyB1eVyYdiwYXxSExEREYWQ0+oFEBEREZ2tsrISgUCg9tcbN27E888/jw8//NDCVdHatWtRWVlp9TIuiIMtBUX6VZHNwRaZNLUAunrYIpOmlmHDhtVeiJ2RkYEnn3wShmFgyZIlmDdvnsWraz4tx2by5Mm45JJLMGXKFLz33ns4c+aM1Us6D09FMImdn9TnXhV5+vRpzJgxQ/RVkQ1hi0yaWgBdPWyRSVNLfXw+H2JjYwEAq1evxvbt2xEeHo65c+ciNTXV0rU1RvOxSUpKwtatW7F27Vq88cYbmDFjBsaMGYNf/vKXGDt2LMLCrB8rrV+BQtqe1Ha8KrIhbJFJUwugq4ctMmlqqU/Xrl2xfft2/OxnP0NCQgKOHj2KhIQEVFRUWL20Rmk+Ng6HAx06dMCUKVMwZcoUVFRU4K9//SteeeUV3HvvvTh06JDVS+SuCKFw9913N+njXn/99RCvhIiIyH6+//573HXXXQgPD0eHDh2wdetWXHXVVfB6vXjqqacwduxYq5fYJg0aNAi7du2q97Hy8nIR+/NzsCUiIiKRvvrqK3z77bfw+Xy4+OKLMWTIELhcLquX1WZ98803uOKKK6xexgXx4jGLPPHEE1YvodUUFhbif//3f5Gfn2/1UlqMLTJouyJaUw9bZLJ7y6ZNm9CvX7/z7tzZr18/jBgxAv/93/+NM2fO2HKotcNOAg0597icPdSWlZUhOTkZ//jHP6xaXr042Jrgd7/7XZ233/72t3j++edrf2031113Xe1/Z2VlYfLkySgsLMT06dPx8ssvW7iy5mOLTNquiNbUwxaZ7N7ypz/9Cffdd1+9P8qOiYnB9OnTsXDhQgtW1nJ22EmgIU05Li+88IIFK7sAg0LukksuMSZPnmy88cYbxrJly4xly5YZcXFxtf9tN6mpqbX/PXToUOPQoUOGYRhGRUWF0b9/f6uWFRS2yNSvX7/a/x48eLBRVVVlGIZh+P1+27UYhq4etshk95bExETjq6++avDxr7/+2vB4PCauqPWkpqYaJ06cMLKysoxbb73V6Nq1q/HrX//aeP/9943q6mqrl3dBdjwufMXWBF9//TV69eqFdevW4ZprrsHUqVPhdrsxdepUTJ061erlNZthGKisrMTJkycRCATQrVs3AEBUVJTtfkzEFplqrogGUHtFNABbXBFdH009bJHJ7i2HDx9Gu3btGnw8LCwMR44cMXFFrefsnQSys7Px7bffYsyYMXjllVfg8XisXt4F2fG4cLsvE0RGRuKJJ57Avn37MG/ePCQlJcHv91u9rKCVlpYiOTkZhmHA4XDg0KFD6N69O06cOAHDZtciskWmv/zlL3WuiB44cGDtFdHPPvus1ctrNk09bJHJ7i0XX3wxCgsLcfnll9f7+O7du9G9e3eTV9U6zv331+1244477sAdd9xx3jnF0tjxuHBXBAusXbsWeXl5eOqpp6xeSqs6deoUDh8+jJ49e1q9lBZjiwzarojW1MMWmezacv/992Pz5s349NNP0b59+zqPVVZWYujQoRg5ciReeukli1YYPDvsJNAQWx4Xa86AIDvZuHGj0bdvX6OsrOy8x0pLS41+/foZW7ZssWBlzccWmZrSkpuba8HKgqOphy0yaWoxDMMoKSkxEhISDI/HYyxYsMB47733jPfee894+umnDY/HYyQkJBglJSVWL7NJNP3bbMfjwsHWYnl5eVYvoVE33XST8cILLzT4+IsvvmjceuutJq4oeGyRSVOLYejqYYtMmlpqfP/998YNN9xgOJ1Ow+FwGA6Hw3A6ncYNN9xg/POf/7R6eU2m7djY7bhwsLWYtKsJ62PHqyIbwhaZNLUYhq4etsikqeVcx44dMz755BNj586dxrFjx6xeTrNpPTZ2OS68eMwEkyZNqvf9hmHg2LFjJq+m+ex4VWRD2CKTphZAVw9bZNLUcq6OHTtiyJAhVi8jaFqPjV2OCwdbE2zYsAFvvvkmoqKi6rzfMAxs2bLFolU1nR2vimwIW2TS1ALo6mGLTJpatOGxsZjVLxm3BePHj2/wJP7Ro0ebvJrmmzNnjpGSkmJUVlae99ipU6eMlJQU4/7777dgZc3HFpk0tRiGrh62yKSpRRseG2txuy9q1OHDh3HllVfC5XJhzpw5SEpKAgDs3bsXixYtgt/vx+eff46uXbtavNLGsUUmTS2Arh62yKSpRRseG4tZPVlrpGmrjxp2uyryQtgik6YWw9DVwxaZNLVow2NjHb5iGwI333wzRo4ciYceeqjex1966SXk5OQgOzvb5JW13PHjx7Fv3z4YhoHevXujY8eOVi8paGyRSVMLoKuHLTJpatGGx8Z8HGxD4JJLLsH69evRt2/feh/fu3cvxowZg+LiYpNXRkRERKSX0+oFaKR1qw8iIiIiyTjYhkDNVh8N4VYfRERERK2Pg20IjBs3Dv/1X/+F06dPn/dYZWUlHnvsMdx4440WrIyIiIhIL55jGwLc6oOIiIjIfBxsQ2T//v2YOXMmPv74Y9T8ETscDowdOxaLFi1Cz549LV4hERERkS4cbEOMW30QERERmYODLRERERGpwIvHiIiIiEgFDrZEREREpAIHWyIiIiJSgYMtEREREanAwZaIiIiIVOBgS0REREQqcLAlIiIiIhU42BIRERGRCv8HlSr73RcQUv0AAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if ratePlot:\n", + " boxWidth = 0.5\n", + " boxOffset= boxWidth/2.0\n", + " negFreq = []\n", + " with plt.style.context('default'):\n", + " for iplot in range(len(NatomsList)):\n", + " Natoms = NatomsList[iplot]\n", + " fig = plt.figure(figsize=(8, 3))\n", + " ax = fig.add_subplot(111)\n", + " Nmols = len(molCoeffsAll[Natoms])\n", + " mols = []\n", + " minCoeff = 999999\n", + " maxCoeff = -999999\n", + " bebBoxes = []\n", + " hfBoxes = []\n", + " Nmols = 0\n", + " for (i, mol) in enumerate(sorted(molCoeffsAll[Natoms], key=lambda x: x['name'])):\n", + " mols.append(molLatex[mol['name']])\n", + " ciMax = max(mol['BEB'])\n", + " ciMin = min(mol['BEB'])\n", + " ciMean= mol['mBEB']\n", + " minCoeff = min(ciMin, minCoeff)\n", + " maxCoeff = max(ciMax, maxCoeff)\n", + " bebBoxes.append(Rectangle((i-boxOffset, ciMin), boxWidth, (ciMax - ciMin)))\n", + " ax.plot(i, ciMean, 'kd', zorder=999)\n", + " Nmols += 1\n", + " pcBeb = PatchCollection(bebBoxes, facecolor='c', alpha=0.75,\n", + " edgecolor=None, zorder=2)\n", + " hfBeb = PatchCollection(hfBoxes, facecolor='r', alpha=0.75,\n", + " edgecolor=None, zorder=2)\n", + " ax.add_collection(pcBeb)\n", + " ax.add_collection(hfBeb)\n", + "\n", + " ax.set_ylim(max(0, minCoeff-1), maxCoeff+1) \n", + " ax.set_xticks(range(Nmols), mols, rotation=90)\n", + " ax.set_ylabel(r'c$_{m, T}$', fontsize=16)\n", + " ax.tick_params(which='both', axis='both', labelsize=10)\n", + " ax.grid(axis='x', linestyle='--')\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Store all the mean rates in a single dictionary for the network file and make a new dictionary of the rates sorted by molecule name." + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "meanMolCoeff = {}\n", + "for Natoms in NatomsList:\n", + " for (i, mol) in enumerate(sorted(molCoeffsAll[Natoms], key=lambda x: x['name'])):\n", + " meanMolCoeff[mol['name']] = mol['mBEB']\n", + "sortedMolIonRates = {key: value for key, value in sorted(meanMolCoeff.items())}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Output in the two different formats, following the UMIST and KIDA formats. See the sites for the format:\n", + "- UMIST: \n", + "- KIDA: \n" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "if networkFormat.lower() == \"kida\":\n", + " header_line = ff.FortranRecordWriter('(3A11,1x,5A11,1x,e10.3,1x,e10.3,1x,e10.3,e9.2,1x,e8.2,1x,A4,1x,i2,1x,i6,1x,i6,1x,i2,1x,i5,1x,i2,1x,i1)')\n", + " offset = 0\n", + " molStrArr = []\n", + "\n", + " i = 0\n", + " for moli in sortedMolIonRates.keys():\n", + " molionStr = '%s+'%moli\n", + " molStr = header_line.write([moli.upper(), 'CR', '', ('%s+'%moli).upper(), 'e-', '', '', '', sortedMolIonRates[moli], 0.0, 0.0, 2.0, 0.0, 'logn', 1, -9999, 9999, 1, offset+i, 1, 1])\n", + " molStrArr.append(molStr)\n", + " i += 1\n", + " with open(\"./alecs.kida.in\", 'w') as f:\n", + " for li in molStrArr:\n", + " f.write('%s\\n'%li)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "if networkFormat.lower() == \"umist\":\n", + " molStrArr = []\n", + " i = 0\n", + " for moli in sortedMolIonRates.keys():\n", + " molionStr = '%s+'%moli\n", + " molStr = \"%d,%s,CRP,,%s,e-,,,%.2e,0.00,0.0,L,10,41000,C,ALECS\\n\"%(i, moli, molionStr,sortedMolIonRates[moli]*1.3E-17)\n", + " molStrArr.append(molStr)\n", + " i += 1\n", + " with open(\"./alecs.umist.d\", 'w') as f:\n", + " for li in molStrArr:\n", + " f.write('%s'%li)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.13" + }, + "vscode": { + "interpreter": { + "hash": "f623bef65fd1b367e2579800efbfbd2b378eb2926718e371bd6027031b67d4a9" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/scripts/molLatex.txt b/scripts/molLatex.txt new file mode 100644 index 0000000..333d59f --- /dev/null +++ b/scripts/molLatex.txt @@ -0,0 +1,259 @@ +HCN HCN +HCO HCO +NO NO +CH CH +O2H O$_2$H +OH OH +CH2 CH$_2$ +HNO HNO +CO CO +NH NH +CN CN +CH3 CH$_3$ +HSCN HSCN +C2H2 C$_2$H$_2$ +HOCO HOCO +H2O H$_2$O +CO2 CO$_2$ +HCNS HCNS +H2CN H$_2$CN +HPO HPO +S2 S$_2$ +PH PH +H2CO H$_2$CO +NCSH NCSH +C2N2 C$_2$N$_2$ +N2O N$_2$O +PN PN +OCN OCN +HOOH HOOH +PO PO +NH3 NH$_3$ +H2CS H$_2$CS +CCO CCO +H2 H$_2$ +HS HS +SO SO +CCN CCN +NH2 NH$_2$ +H2S H$_2$S +OCS OCS +HSSH HSSH +SO2 SO$_2$ +SO3 SO$_3$ +HNCS HNCS +HNC HNC +N2 N$_2$ +NS NS +C4 C$_4$ +NO2 NO2 +PH2 PH2 +O3 O$_3$ +O2 O$_2$ +CP CP +NO3 NO$_3$ +C3N C$_3$N +HC2N HC$_2$N +C3 C$_3$ +C2 C$_2$ +CS CS +HC2O HC$_2$O +CH3OH CH$_3$OH +HNCHSH HNCHSH +CH4 CH$_4$ +NH2CHO NH$_2$CHO +CH2NH2 CH$_2$NH$_2$ +C2H5 C$_2$H$_5$ +C2H4 C$_2$H$_4$ +C4H2 C$_4$H$_2$ +CH2CHCN CH$_2$CHCN +CH3NCO CH$_3$NCO +H2CCN H$_2$CCN +C2H3 C$_2$H$_3$ +CH3CHS CH$_3$CHS +CH2CCH2 CH$_2$CCH$_2$ +CH3S CH$_3$S +HCCNC HCCNC +CH2SH CH$_2$SH +C2CCH C$_2$CCH +H2C3O H$_2$C$_3$O +N2H4 N$_2$H$_4$ +CH3NH CH$_3$NH +CH3O CH$_3$O +CH3NH2 CH$_3$NH$_2$ +N2H3 N$_2$H$_3$ +HCOCHO HCOCHO +CH2PH CH$_2$PH +HC3O HC$_3$O +CH3CCH CH$_3$CCH +C4H C$_4$H +HC3N HC$_3$N +NH2CHS NH$_2$CHS +HCNCC HCNCC +CH2NH CH$_2$NH +HNCCC HNCCC +CH2OH CH$_2$OH +H2CCS H$_2$CCS +NC4N NC$_4$N +C6H2 C$_6$H$_2$ +CH3OCH3 CH$_3$OCH$_3$ +C2H6 C$_2$H$_6$ +CH3OCH2 CH$_3$OCH$_2$ +CH3CHCH2 CH$_3$CHCH$_2$ +NC6N NC$_6$N +C4H5 C$_4$H$_5$ +C2H3NH2 C$_2$H$_3$NH$_2$ +C4H4 C$_4$H$_4$ +C3H5 C$_3$H$_5$ +C2H3CHO C$_2$H$_3$CHO +CH3COCN CH$_3$COCN +C5H4 C$_5$H$_4$ +CH3CH2OH CH$_3$CH$_2$OH +CH3C4H CH$_3$C$_4$H +c-C5H4 c-C$_5$H$_4$ +CH2CCCCH2 CH$_2$CCCCH$_2$ +HCOOCH3 HCOOCH$_3$ +HCCCO HCCCO +C8H2 C$_8$H$_2$ +CH3C3N CH$_3$C$_3$N +C2H5CHO C$_2$H$_5$CHO +C6H4 C$_6$H$_4$ +C4H7 C$_4$H$_7$ +C6H7 C$_6$H$_7$ +C6H6 C$_6$H$_6$ +C7H10 C$_7$H$_{10}$ +C3H7 C$_3$H$_7$ +C5H5 C$_5$H$_5$ +C7H7 C$_7$H$_7$ +C5H12 C$_5$H$_{12}$ +CH3C6H CH$_3$C$_6$H +C5H6 C$_5$H$_6$ +C5H10 C$_5$H$_{10}$ +C7H4 C$_7$H$_4$ +C5H11 C$_5$H$_{11}$ +C5H7 C$_5$H$_7$ +C7H8 C$_7$H$_8$ +C5H9 C$_5$H$_9$ +C3H5CN C$_3$H$_5$CN +C5H8 C$_5$H$_8$ +CNO CNO +C3H8 C$_3$H$_8$ +C10H2 C$_{10}$H$_2$ +C14H10 C$_{14}$H$_{10}$ +C6H12 C$_6$H$_{12}$ +C6H13 C$_6$H$_{13}$ +C4H8 C$_4$H$_8$ +C6H8 C$_6$H$_8$ +C6H11 C$_6$H$_{11}$ +CH3COCH3 CH$_3$COCH$_3$ +C6H10 C$_6$H$_{10}$ +C6H9 C$_6$H$_9$ +C8H6 C$_8$H$_6$ +C8H2 C$_8$H$_2$ +C6H14 C$_6$H$_{14}$ +C4H10 C$_4$H$_{10}$ +CH2CHCHCH2 CH$_2$CHCHCH$_2$ +C8H C$_8$H +NaCl NaCl +CH2CCO CH$_2$CCO +C3H2O C$_3$H$_2$O +Ar Ar +H H +He He +C C +O O +N N +S S +P P +NH2CN NH$_2$CN +NO+ NO$^+$ +HNCO HNCO +CF+ CF$^+$ +CH3NHCHO CH$_3$NHCHO +HC3NH+ HC$_3$NH$^+$ +HC2CHO HC$_2$CHO +CH3CHNH CH$_3$CHNH +CH2OHCHO CH$_2$OHCHO +S-CH3CHCH2O s-CH$_3$CHCH$_2$O +H3O+ H$_3$O$^+$ +C8H- C$_8$H$^-$ +OH+ OH$^+$ +H3+ H$_3^+$ +N2H+ N$_2$H$^+$ +NH2CH2CN NH$_2$CH$_2$CN +C7H C$_7$H +NH4+ NH$_4^+$ +l-HC6H l-HC$_6$H +HCOOH HCOOH +H2NCO+ H$_2$NCO$^+$ +CO2H+ CO$_2$H$^+$ +c-C6H5CN c-C$_6$H$_5$CN +CH3NC CH$_3$NC +HC7N HC$_7$N +l-C3H6 l-C$_3$H$_6$ +NCCNH+ NCCNH$^+$ +l-C3H2 l-C$_3$H$_2$ +HCNH+ HCNH$^+$ +l-C3H l-C$_3$H +CH3COOH CH$_3$COOH +C6H C$_6$H +HOC+ HOC$^+$ +CH3CONH2 CH$_3$CONH$_2$ +H2O+ H$_2$O$^+$ +c-C2H4O c-C$_2$H$_4$O +l-HC4H l-HC$_4$H +C5H C$_5$H +CH3CN CH$_3$CN +C2H2O C$_2$H$_2$O +l-C3H+ l-C$_3$H$^+$ +HC9N HC$_9$N +HNCHCN HNCHCN +C2H5OCH3 C$_2$H$_5$OCH$_3$ +H2O2 H$_2$O$_2$ +HCNO HCNO +C2H5OH C$_2$H$_5$OH +HF HF +HC5N HC$_5$N +HCO+ HCO$^+$ +HC11N HC$_{11}$N +n-C3H7CN n-C$_3$H$_7$CN +l-HC4N l-HC$_4$N +C2H5CN C$_2$H$_5$CN +C5N C$_5$N +CO+ CO$^+$ +c-C3H2 c-C$_3$H$_2$ +HCOOC2H5 HCOOC$_2$H$_5$ +CH2O CH$_2$O +HC2NC HC$_2$NC +HCCN HCCN +CN- CN$^{-}$ +HCCO HCCO +CH3C5N CH$_3$C$_5$N +HNC3 HNC$_3$ +CH3COOCH3 CH$_3$COOCH$_3$ +HO2 HO$_2$ +R-CH3CHCH2O R-CH$_3$CHCH$_2$O +CH2CHCHO CH$_2$CHCHI +CH+ CH$^+$ +C6H- C$_6$H$^-$ +C4H- C$_4$H$^-$ +C5N- C$_5$N$^-$ +C5 C$_5$ +c-C3H c-C$_3$H +i-C3H7CN i-C$_3$H$_7$CN +CHNO CHNO +CH2OHCH2OH CH$_2$OHCH$_2$OH +NHCNH NHCNH +CH3CHO CH$_3$CHO +H2CCHOH H$_2$CCHOH +C2HNO C$_2$HNO +CH3OCH2OH CH$_3$OCH$_2$OH +C2H C$_2$H +H2CCNH H$_2$CCNH +c-H2C3O c-H$_2$C$_3$O +CH2CCHCN CH$_2$CCHCN +C3N- C$_3$N$^-$ +CH3C2H CH$_3$C$_2$H +C3O C$_3$O +c-C6H6 c-C$_6$H$_6$ +C3H3 C$_3$H$_3$ \ No newline at end of file