diff --git a/doc/pub/Introduction/ipynb/Introduction.ipynb b/doc/pub/Introduction/ipynb/Introduction.ipynb index cae0616f4..56c63bf60 100644 --- a/doc/pub/Introduction/ipynb/Introduction.ipynb +++ b/doc/pub/Introduction/ipynb/Introduction.ipynb @@ -346,7 +346,25 @@ ] } ], - "metadata": {}, + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.8.3" + } + }, "nbformat": 4, "nbformat_minor": 2 } diff --git a/doc/src/LectureNotes/DataFiles/EoS.csv b/doc/src/LectureNotes/DataFiles/EoS.csv new file mode 100644 index 000000000..a958ae7b5 --- /dev/null +++ b/doc/src/LectureNotes/DataFiles/EoS.csv @@ -0,0 +1,90 @@ + 3.3773726001100143E-005, 3.1715032621225665E-002 + 2.7018980800880114E-004, 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b/doc/src/LectureNotes/DataFiles/MassEval2016.dat new file mode 100644 index 000000000..4b479be45 --- /dev/null +++ b/doc/src/LectureNotes/DataFiles/MassEval2016.dat @@ -0,0 +1,3475 @@ +1 a0boogfu A T O M I C M A S S A D J U S T M E N T +0 DATE 1 Mar 2017 TIME 17:26 +0 ********************* A= 0 TO 295 + * file : mass16.txt * + ********************* + + This is one file out of a series of 3 files published in: + "The Ame2016 atomic mass evaluation (I)" by W.J.Huang, G.Audi, M.Wang, F.G.Kondev, S.Naimi and X.Xu + Chinese Physics C41 030002, March 2017. + "The Ame2016 atomic mass evaluation (II)" by M.Wang, G.Audi, F.G.Kondev, W.J.Huang, S.Naimi and X.Xu + Chinese Physics C41 030003, March 2017. + for files : mass16.txt : atomic masses + rct1-16.txt : react and sep energies, part 1 + rct2-16.txt : react and sep energies, part 2 + A fourth file is the "Rounded" version of the atomic mass table (the first file) + mass16round.txt : atomic masses "Rounded" version + + All files are 3436 lines long with 124 character per line. + Headers are 39 lines long. + Values in files 1, 2 and 3 are unrounded copy of the published ones + Values in file 4 are exact copy of the published ones + + col 1 : Fortran character control: 1 = page feed 0 = line feed + format : a1,i3,i5,i5,i5,1x,a3,a4,1x,f13.5,f11.5,f11.3,f9.3,1x,a2,f11.3,f9.3,1x,i3,1x,f12.5,f11.5 + cc NZ N Z A el o mass unc binding unc B beta unc atomic_mass unc + Warnings : this format is identical to the ones used in Ame2003 and Ame2012 + in particular "Mass Excess" and "Atomic Mass" values are given now, when necessary, + with 5 digits after decimal point. + decimal point is replaced by # for (non-experimental) estimated values. + * in place of value : not calculable + +....+....1....+....2....+....3....+....4....+....5....+....6....+....7....+....8....+....9....+...10....+...11....+...12.... + + + MASS LIST + for analysis + +1N-Z N Z A EL O MASS EXCESS BINDING ENERGY/A BETA-DECAY ENERGY ATOMIC MASS + (keV) (keV) (keV) (micro-u) +0 1 1 0 1 n 8071.31713 0.00046 0.0 0.0 B- 782.347 0.000 1 008664.91582 0.00049 + -1 0 1 1 H 7288.97061 0.00009 0.0 0.0 B- * 1 007825.03224 0.00009 +0 0 1 1 2 H 13135.72176 0.00011 1112.283 0.000 B- * 2 014101.77811 0.00012 +0 1 2 1 3 H 14949.80993 0.00022 2827.265 0.000 B- 18.592 0.000 3 016049.28199 0.00023 + -1 1 2 3 He 14931.21793 0.00021 2572.680 0.000 B- -13736# 2000# 3 016029.32265 0.00022 + -3 0 3 3 Li -pp 28667# 2000# -2267# 667# B- * 3 030775# 2147# +0 2 3 1 4 H -n 24621.127 100.000 1720.449 25.000 B- 22196.211 100.000 4 026431.868 107.354 + 0 2 2 4 He 2424.91561 0.00006 7073.915 0.000 B- -22898.273 212.132 4 002603.25413 0.00006 + -2 1 3 4 Li -p 25323.189 212.132 1153.760 53.033 B- * 4 027185.562 227.733 +0 3 4 1 5 H -nn 32892.444 89.443 1336.359 17.889 B- 21661.211 91.652 5 035311.493 96.020 + 1 3 2 5 He -n 11231.233 20.000 5512.132 4.000 B- -447.654 53.852 5 012057.224 21.470 + -1 2 3 5 Li -p 11678.886 50.000 5266.132 10.000 B- -25460# 2003# 5 012537.800 53.677 + -3 1 4 5 Be x 37139# 2003# 18# 401# B- * 5 039870# 2150# +0 4 5 1 6 H -3n 41875.721 254.127 961.639 42.354 B- 24283.626 254.127 6 044955.437 272.816 + 2 4 2 6 He 17592.095 0.053 4878.519 0.009 B- 3505.216 0.053 6 018885.891 0.057 + 0 3 3 6 Li 14086.87895 0.00144 5332.331 0.000 B- -4288.154 5.448 6 015122.88742 0.00155 + -2 2 4 6 Be - 18375.033 5.448 4487.247 0.908 B- -28945# 2003# 6 019726.409 5.848 + -4 1 5 6 B x 47320# 2003# -467# 334# B- * 6 050800# 2150# +0 5 6 1 7 H -nn 49135# 1004# 940# 143# B- 23062# 1004# 7 052749# 1078# + 3 5 2 7 He -n 26073.126 7.559 4123.057 1.080 B- 11166.021 7.559 7 027990.654 8.115 + 1 4 3 7 Li 14907.10529 0.00423 5606.439 0.001 B- -861.893 0.071 7 016003.43666 0.00454 + -1 3 4 7 Be 15768.999 0.071 5371.548 0.010 B- -11907.551 25.150 7 016928.717 0.076 + -3 2 5 7 B p4n 27676.550 25.150 3558.705 3.593 B- * 7 029712.000 27.000 +0 4 6 2 8 He 31609.681 0.089 3924.520 0.011 B- 10663.878 0.100 8 033934.390 0.095 + 2 5 3 8 Li 20945.804 0.047 5159.712 0.006 B- 16004.133 0.059 8 022486.246 0.050 + 0 4 4 8 Be -a 4941.671 0.035 7062.435 0.004 B- -17979.896 1.000 8 005305.102 0.037 + -2 3 5 8 B 22921.567 1.000 4717.155 0.125 B- -12142.701 18.270 8 024607.316 1.073 + -4 2 6 8 C 35064.268 18.243 3101.524 2.280 B- * 8 037643.042 19.584 +0 5 7 2 9 He 40935.826 46.816 3349.037 5.202 B- 15980.924 46.817 9 043946.419 50.259 + 3 6 3 9 Li -3n 24954.902 0.186 5037.768 0.021 B- 13606.449 0.201 9 026790.191 0.200 + 1 5 4 9 Be 11348.453 0.077 6462.668 0.009 B- -1068.035 0.899 9 012183.066 0.082 + -1 4 5 9 B - 12416.488 0.903 6257.070 0.100 B- -16494.484 2.319 9 013329.649 0.969 + -3 3 6 9 C -pp 28910.972 2.137 4337.423 0.237 B- * 9 031037.207 2.293 +0 6 8 2 10 He -nn 49197.143 92.848 2995.134 9.285 B- 16144.519 93.715 10 052815.308 99.676 + 4 7 3 10 Li -n 33052.624 12.721 4531.351 1.272 B- 20445.136 12.722 10 035483.453 13.656 + 2 6 4 10 Be 12607.488 0.081 6497.630 0.008 B- 556.878 0.082 10 013534.695 0.086 + 0 5 5 10 B 12050.609 0.015 6475.083 0.002 B- -3648.062 0.069 10 012936.862 0.016 + -2 4 6 10 C 15698.672 0.070 6032.042 0.007 B- -23101.355 400.000 10 016853.218 0.075 + -4 3 7 10 N -- 38800.026 400.000 3643.672 40.000 B- * 10 041653.543 429.417 +0 5 8 3 11 Li x 40728.254 0.615 4155.381 0.056 B- 20551.087 0.659 11 043723.581 0.660 + 3 7 4 11 Be 20177.167 0.238 5952.540 0.022 B- 11509.460 0.238 11 021661.081 0.255 + 1 6 5 11 B 8667.707 0.012 6927.732 0.001 B- -1981.689 0.061 11 009305.166 0.013 + -1 5 6 11 C 10649.396 0.060 6676.456 0.005 B- -13654.163 46.154 11 011432.597 0.064 + -3 4 7 11 N -p 24303.559 46.154 5364.046 4.196 B- * 11 026090.945 49.548 +0 6 9 3 12 Li -n 49009.571 30.006 3791.600 2.501 B- 23931.812 30.067 12 052613.941 32.213 + 4 8 4 12 Be 25077.760 1.909 5720.722 0.159 B- 11708.363 2.321 12 026922.083 2.048 + 2 7 5 12 B 13369.397 1.321 6631.223 0.110 B- 13369.397 1.321 12 014352.638 1.418 + 0 6 6 12 C 0.0 0.0 7680.144 0.000 B- -17338.068 1.000 12 000000.0 0.0 + -2 5 7 12 N 17338.068 1.000 6170.109 0.083 B- -14576.544 24.021 12 018613.182 1.073 + -4 4 8 12 O -pp 31914.613 24.000 4890.202 2.000 B- * 12 034261.747 25.765 +0 7 10 3 13 Li -nn 56980.888 70.003 3507.630 5.385 B- 23321.812 70.739 13 061171.503 75.150 + 5 9 4 13 Be -n 33659.077 10.180 5241.435 0.783 B- 17097.130 10.230 13 036134.507 10.929 + 3 8 5 13 B -nn 16561.947 1.000 6496.419 0.077 B- 13436.938 1.000 13 017779.981 1.073 + 1 7 6 13 C 3125.00888 0.00021 7469.849 0.000 B- -2220.472 0.270 13 003354.83521 0.00023 + -1 6 7 13 N 5345.481 0.270 7238.863 0.021 B- -17769.951 9.530 13 005738.609 0.289 + -3 5 8 13 O +3n 23115.432 9.526 5811.763 0.733 B- * 13 024815.437 10.226 +0 6 10 4 14 Be x 39954.498 132.245 4993.897 9.446 B- 16290.813 133.936 14 042892.920 141.970 + 4 9 5 14 B 23663.685 21.213 6101.644 1.515 B- 20643.792 21.213 14 025404.012 22.773 + 2 8 6 14 C 3019.89278 0.00376 7520.319 0.000 B- 156.476 0.004 14 003241.98843 0.00403 + 0 7 7 14 N 2863.41672 0.00019 7475.614 0.000 B- -5144.364 0.025 14 003074.00446 0.00021 + -2 6 8 14 O 8007.781 0.025 7052.278 0.002 B- -23956.622 41.119 14 008596.706 0.027 + -4 5 9 14 F -p 31964.402 41.119 5285.208 2.937 B- * 14 034315.199 44.142 +0 7 11 4 15 Be -n 49825.815 165.797 4540.970 11.053 B- 20867.573 167.126 15 053490.215 177.990 + 5 10 5 15 B 28958.242 21.032 5879.985 1.402 B- 19085.098 21.047 15 031087.953 22.578 + 3 9 6 15 C -n 9873.144 0.800 7100.169 0.053 B- 9771.705 0.800 15 010599.256 0.858 + 1 8 7 15 N 101.43871 0.00060 7699.460 0.000 B- -2754.166 0.491 15 000108.89894 0.00065 + -1 7 8 15 O 2855.605 0.491 7463.692 0.033 B- -13711.146 14.009 15 003065.618 0.526 + -3 6 9 15 F -p 16566.751 14.000 6497.459 0.933 B- -23648.622 68.138 15 017785.139 15.029 + -5 5 10 15 Ne -pp 40215.373 66.684 4868.728 4.446 B- * 15 043172.980 71.588 +0 8 12 4 16 Be -nn 57447.132 165.797 4285.285 10.362 B- 20334.623 167.608 16 061672.036 177.990 + 6 11 5 16 B 37112.510 24.569 5507.302 1.536 B- 23418.378 24.828 16 039841.920 26.375 + 4 10 6 16 C -nn 13694.132 3.578 6922.054 0.224 B- 8010.225 4.254 16 014701.256 3.840 + 2 9 7 16 N -n 5683.907 2.301 7373.796 0.144 B- 10420.908 2.301 16 006101.925 2.470 + 0 8 8 16 O -4737.00135 0.00016 7976.206 0.000 B- -15417.254 8.321 15 994914.61960 0.00017 + -2 7 9 16 F - 10680.253 8.321 6963.731 0.520 B- -13306.523 22.106 16 011465.723 8.932 + -4 6 10 16 Ne -- 23986.776 20.480 6083.177 1.280 B- * 16 025750.864 21.986 +0 7 12 5 17 B x 43716.317 204.104 5269.667 12.006 B- 22684.419 204.841 17 046931.399 219.114 + 5 11 6 17 C 2p-n 21031.898 17.365 6558.024 1.021 B- 13161.820 22.946 17 022578.672 18.641 + 3 10 7 17 N +p 7870.079 15.000 7286.229 0.882 B- 8678.842 15.000 17 008448.877 16.103 + 1 9 8 17 O -808.76348 0.00066 7750.728 0.000 B- -2760.465 0.248 16 999131.75664 0.00070 + -1 8 9 17 F 1951.702 0.248 7542.328 0.015 B- -14548.746 0.432 17 002095.238 0.266 + -3 7 10 17 Ne 16500.447 0.354 6640.499 0.021 B- -18672.766 1001.356 17 017713.959 0.380 + -5 6 11 17 Na x 35173.214 1001.356 5496.080 58.903 B- * 17 037760.000 1075.000 +0 8 13 5 18 B -n 51792.634 204.165 4976.630 11.342 B- 26873.370 206.357 18 055601.682 219.180 + 6 12 6 18 C ++ 24919.264 30.000 6426.131 1.667 B- 11806.096 35.282 18 026751.932 32.206 + 4 11 7 18 N + 13113.168 18.570 7038.562 1.032 B- 13895.984 18.570 18 014077.565 19.935 + 2 10 8 18 O -782.81560 0.00071 7767.097 0.000 B- -1655.929 0.463 17 999159.61284 0.00076 + 0 9 9 18 F 873.113 0.463 7631.638 0.026 B- -4444.501 0.589 18 000937.325 0.497 + -2 8 10 18 Ne 5317.614 0.363 7341.257 0.020 B- -19720.374 93.882 18 005708.693 0.390 + -4 7 11 18 Na 25037.988 93.881 6202.217 5.216 B- * 18 026879.386 100.785 +0 9 14 5 19 B x 59770.244 525.363 4719.634 27.651 B- 27356.492 534.496 19 064166.000 564.000 + 7 13 6 19 C -n 32413.752 98.389 6118.273 5.178 B- 16557.471 99.748 19 034797.596 105.625 + 5 12 7 19 N p-2n 15856.282 16.404 6948.543 0.863 B- 12523.424 16.614 19 017022.419 17.610 + 3 11 8 19 O -n 3332.858 2.637 7566.495 0.139 B- 4820.302 2.637 19 003577.970 2.830 + 1 10 9 19 F -1487.44420 0.00086 7779.018 0.000 B- -3239.494 0.160 18 998403.16288 0.00093 + -1 9 10 19 Ne +3n 1752.050 0.160 7567.343 0.008 B- -11177.340 10.536 19 001880.903 0.171 + -3 8 11 19 Na 12929.390 10.535 6937.885 0.554 B- -18898.998 51.099 19 013880.272 11.309 + -5 7 12 19 Mg -pp 31828.389 50.001 5902.025 2.632 B- * 19 034169.182 53.678 +0 10 15 5 20 B x 68450# 800# 4453# 40# B- 30946# 833# 20 073484# 859# + 8 14 6 20 C x 37503.563 230.625 5961.435 11.531 B- 15737.067 243.746 20 040261.732 247.585 + 6 13 7 20 N x 21766.496 78.894 6709.171 3.945 B- 17970.324 78.899 20 023367.295 84.696 + 4 12 8 20 O -nn 3796.172 0.885 7568.570 0.044 B- 3813.635 0.885 20 004075.358 0.950 + 2 11 9 20 F -n -17.463 0.030 7720.134 0.002 B- 7024.467 0.030 19 999981.252 0.031 + 0 10 10 20 Ne -7041.93055 0.00157 8032.240 0.000 B- -13892.535 1.114 19 992440.17619 0.00168 + -2 9 11 20 Na 6850.604 1.114 7298.496 0.056 B- -10627.088 2.171 20 007354.426 1.195 + -4 8 12 20 Mg +t 17477.692 1.863 6728.025 0.093 B- * 20 018763.075 2.000 +0 11 16 5 21 B x 77330# 900# 4203# 43# B- 31687# 1079# 21 083017# 966# + 9 15 6 21 C x 45643# 596# 5674# 28# B- 20411# 611# 21 049000# 640# + 7 14 7 21 N x 25231.913 134.048 6609.015 6.383 B- 17169.878 134.584 21 027087.573 143.906 + 5 13 8 21 O -3n 8062.035 12.000 7389.374 0.571 B- 8109.640 12.134 21 008654.950 12.882 + 3 12 9 21 F -nn -47.605 1.800 7738.293 0.086 B- 5684.171 1.800 20 999948.894 1.932 + 1 11 10 21 Ne -5731.776 0.038 7971.713 0.002 B- -3547.145 0.090 20 993846.685 0.041 + -1 10 11 21 Na -2184.631 0.098 7765.547 0.005 B- -13088.480 0.761 20 997654.702 0.105 + -3 9 12 21 Mg x 10903.850 0.755 7105.031 0.036 B- -16086# 596# 21 011705.764 0.810 + -5 8 13 21 Al x 26990# 596# 6302# 28# B- * 21 028975# 640# +0 10 16 6 22 C -nn 53611.197 231.490 5421.077 10.522 B- 21846.396 311.063 22 057553.990 248.515 + 8 15 7 22 N x 31764.801 207.779 6378.534 9.445 B- 22481.768 215.435 22 034100.918 223.060 + 6 14 8 22 O -4n 9283.033 56.921 7364.871 2.587 B- 6489.660 58.256 22 009965.746 61.107 + 4 13 9 22 F + 2793.373 12.399 7624.295 0.564 B- 10818.092 12.399 22 002998.809 13.310 + 2 12 10 22 Ne -8024.719 0.018 8080.465 0.001 B- -2843.207 0.171 21 991385.109 0.018 + 0 11 11 22 Na -5181.511 0.171 7915.667 0.008 B- -4781.578 0.321 21 994437.418 0.183 + -2 10 12 22 Mg -399.933 0.313 7662.761 0.014 B- -18601# 401# 21 999570.654 0.335 + -4 9 13 22 Al x 18201# 401# 6782# 18# B- -15137# 643# 22 019540# 430# + -6 8 14 22 Si x 33338# 503# 6058# 23# B- * 22 035790# 540# +0 11 17 6 23 C x 64171# 997# 5077# 43# B- 27450# 1082# 23 068890# 1070# + 9 16 7 23 N x 36720.425 420.570 6236.671 18.286 B- 22099.056 437.827 23 039421.000 451.500 + 7 15 8 23 O x 14621.369 121.712 7163.485 5.292 B- 11336.106 126.190 23 015696.686 130.663 + 5 14 9 23 F 3285.263 33.320 7622.344 1.449 B- 8439.312 33.321 23 003526.874 35.770 + 3 13 10 23 Ne -n -5154.049 0.104 7955.256 0.005 B- 4375.804 0.104 22 994466.900 0.112 + 1 12 11 23 Na -9529.85248 0.00181 8111.493 0.000 B- -4056.340 0.158 22 989769.28199 0.00194 + -1 11 12 23 Mg - -5473.513 0.158 7901.115 0.007 B- -12221.583 0.379 22 994123.941 0.170 + -3 10 13 23 Al -- 6748.070 0.345 7335.727 0.015 B- -16949# 503# 23 007244.351 0.370 + -5 9 14 23 Si x 23697# 503# 6565# 22# B- * 23 025440# 540# +0 10 17 7 24 N x 46938# 401# 5887# 17# B- 28438# 433# 24 050390# 430# + 8 16 8 24 O x 18500.402 164.874 7039.685 6.870 B- 10955.887 191.633 24 019861.000 177.000 + 6 15 9 24 F x 7544.515 97.670 7463.582 4.070 B- 13496.161 97.672 24 008099.370 104.853 + 4 14 10 24 Ne -nn -5951.646 0.513 7993.325 0.021 B- 2466.255 0.513 23 993610.645 0.550 + 2 13 11 24 Na -n -8417.901 0.017 8063.488 0.001 B- 5515.669 0.021 23 990963.011 0.017 + 0 12 12 24 Mg -13933.569 0.013 8260.709 0.001 B- -13884.704 0.233 23 985041.697 0.014 + -2 11 13 24 Al ep -48.865 0.233 7649.582 0.010 B- -10794.060 19.473 23 999947.541 0.250 + -4 10 14 24 Si -- 10745.195 19.472 7167.232 0.811 B- -22574# 503# 24 011535.441 20.904 + -6 9 15 24 P x 33320# 503# 6194# 21# B- * 24 035770# 540# +0 11 18 7 25 N x 55983# 503# 5613# 20# B- 28654# 529# 25 060100# 540# + 9 17 8 25 O -n 27329.027 165.084 6727.805 6.603 B- 15994.862 191.191 25 029338.919 177.225 + 7 16 9 25 F x 11334.166 96.442 7336.306 3.858 B- 13369.667 100.721 25 012167.727 103.535 + 5 15 10 25 Ne -2035.502 29.045 7839.799 1.162 B- 7322.312 29.070 24 997814.799 31.181 + 3 14 11 25 Na -nn -9357.813 1.200 8101.397 0.048 B- 3834.969 1.201 24 989953.973 1.288 + 1 13 12 25 Mg -13192.783 0.047 8223.502 0.002 B- -4276.808 0.045 24 985836.964 0.050 + -1 12 13 25 Al -8915.975 0.065 8021.136 0.003 B- -12743.299 10.000 24 990428.306 0.069 + -3 11 14 25 Si +3n 3827.324 10.000 7480.110 0.400 B- -15911# 401# 25 004108.801 10.735 + -5 10 15 25 P x 19738# 401# 6812# 16# B- * 25 021190# 430# +0 10 18 8 26 O -nn 34661.037 164.950 6497.478 6.344 B- 16012.161 198.932 26 037210.155 177.081 + 8 17 9 26 F x 18648.875 111.199 7083.240 4.277 B- 18167.762 112.716 26 020020.392 119.377 + 6 16 10 26 Ne x 481.114 18.429 7751.910 0.709 B- 7341.893 18.758 26 000516.496 19.784 + 4 15 11 26 Na x -6860.780 3.502 8004.201 0.135 B- 9353.763 3.502 25 992634.649 3.759 + 2 14 12 26 Mg -16214.542 0.030 8333.870 0.001 B- -4004.391 0.063 25 982592.971 0.032 + 0 13 13 26 Al -12210.151 0.067 8149.765 0.003 B- -5069.136 0.085 25 986891.863 0.071 + -2 12 14 26 Si - -7141.015 0.108 7924.708 0.004 B- -18114# 196# 25 992333.804 0.115 + -4 11 15 26 P x 10973# 196# 7198# 8# B- -16106# 627# 26 011780# 210# + -6 10 16 26 S x 27079# 596# 6548# 23# B- * 26 029070# 640# +0 11 19 8 27 O x 44670# 500# 6185# 19# B- 19220# 634# 27 047955# 537# + 9 18 9 27 F x 25450.279 389.830 6867.932 14.438 B- 18399.370 400.258 27 027322.000 418.500 + 7 17 10 27 Ne x 7050.909 90.770 7520.414 3.362 B- 12568.699 90.847 27 007569.462 97.445 + 5 16 11 27 Na ++ -5517.790 3.726 7956.946 0.138 B- 9068.821 3.727 26 994076.408 4.000 + 3 15 12 27 Mg -n -14586.611 0.050 8263.852 0.002 B- 2610.251 0.069 26 984340.628 0.053 + 1 14 13 27 Al -17196.861 0.047 8331.553 0.002 B- -4812.359 0.096 26 981538.408 0.050 + -1 13 14 27 Si - -12384.503 0.107 8124.341 0.004 B- -11662.044 26.340 26 986704.688 0.115 + -3 12 15 27 P p4n -722.458 26.340 7663.438 0.976 B- -17750# 400# 26 999224.409 28.277 + -5 11 16 27 S - 17028# 401# 6977# 15# B- * 27 018280# 430# +0 12 20 8 28 O x 52080# 699# 5988# 25# B- 18338# 802# 28 055910# 750# + 10 19 9 28 F -n 33741.596 393.024 6614.792 14.037 B- 22441.859 412.748 28 036223.095 421.928 + 8 18 10 28 Ne x 11299.737 126.068 7388.346 4.502 B- 12288.052 126.483 28 012130.767 135.339 + 6 17 11 28 Na x -988.315 10.246 7799.264 0.366 B- 14030.529 10.440 27 998939.000 11.000 + 4 16 12 28 Mg + -15018.845 2.001 8272.413 0.071 B- 1831.800 2.000 27 983876.606 2.148 + 2 15 13 28 Al -n -16850.645 0.077 8309.894 0.003 B- 4642.150 0.077 27 981910.087 0.083 + 0 14 14 28 Si -21492.79430 0.00049 8447.744 0.000 B- -14345.055 1.152 27 976926.53499 0.00052 + -2 13 15 28 P -7147.740 1.152 7907.479 0.041 B- -11220.945 160.004 27 992326.585 1.236 + -4 12 16 28 S -- 4073.206 160.000 7478.790 5.714 B- -23443# 617# 28 004372.766 171.767 + -6 11 17 28 Cl x 27516# 596# 6614# 21# B- * 28 029540# 640# +0 11 20 9 29 F x 40150.186 525.363 6444.031 18.116 B- 21750.385 546.221 29 043103.000 564.000 + 9 19 10 29 Ne x 18399.801 149.505 7167.067 5.155 B- 15719.807 149.685 29 019753.000 160.500 + 7 18 11 29 Na 2679.994 7.337 7682.151 0.253 B- 13282.824 13.557 29 002877.092 7.876 + 5 17 12 29 Mg x -10602.829 11.400 8113.202 0.393 B- 7604.931 11.405 28 988617.393 12.238 + 3 16 13 29 Al x -18207.760 0.345 8348.464 0.012 B- 3687.318 0.345 28 980453.164 0.370 + 1 15 14 29 Si -21895.07838 0.00056 8448.635 0.000 B- -4942.230 0.359 28 976494.66525 0.00060 + -1 14 15 29 P -16952.848 0.359 8251.236 0.012 B- -13796.432 50.001 28 981800.368 0.385 + -3 13 16 29 S +3n -3156.416 50.000 7748.520 1.724 B- -16318.592 195.192 28 996611.448 53.677 + -5 12 17 29 Cl -p 13162.176 188.680 7158.832 6.506 B- * 29 014130.178 202.555 +0 12 21 9 30 F x 48112# 596# 6233# 20# B- 24832# 648# 30 051650# 640# + 10 20 10 30 Ne 23280.117 253.250 7034.531 8.442 B- 14805.448 253.295 30 024992.235 271.875 + 8 19 11 30 Na 8474.670 4.727 7501.968 0.158 B- 17358.490 5.850 30 009097.932 5.074 + 6 18 12 30 Mg x -8883.820 3.447 8054.506 0.115 B- 6981.024 4.496 29 990462.826 3.700 + 4 17 13 30 Al x -15864.844 2.888 8261.128 0.096 B- 8568.116 2.888 29 982968.388 3.100 + 2 16 14 30 Si -n -24432.960 0.022 8520.654 0.001 B- -4232.106 0.061 29 973770.136 0.023 + 0 15 15 30 P - -20200.854 0.065 8353.506 0.002 B- -6141.601 0.196 29 978313.489 0.069 + -2 14 16 30 S - -14059.253 0.206 8122.707 0.007 B- -18502# 196# 29 984906.769 0.221 + -4 13 17 30 Cl x 4443# 196# 7480# 7# B- -16488# 284# 30 004770# 210# + -6 12 18 30 Ar -pp 20931.147 206.155 6904.204 6.872 B- * 30 022470.511 221.316 +0 13 22 9 31 F -nn 56143# 546# 6033# 18# B- 24961# 608# 31 060272# 587# + 11 21 10 31 Ne 31181.591 266.195 6813.090 8.587 B- 18935.559 266.562 31 033474.816 285.772 + 9 20 11 31 Na x 12246.031 13.972 7398.677 0.451 B- 15368.182 14.307 31 013146.656 15.000 + 7 19 12 31 Mg x -3122.151 3.074 7869.188 0.099 B- 11828.555 3.801 30 996648.232 3.300 + 5 18 13 31 Al x -14950.706 2.236 8225.517 0.072 B- 7998.330 2.236 30 983949.756 2.400 + 3 17 14 31 Si -n -22949.036 0.043 8458.291 0.001 B- 1491.505 0.043 30 975363.194 0.046 + 1 16 15 31 P -24440.54095 0.00067 8481.167 0.000 B- -5398.016 0.229 30 973761.99863 0.00072 + -1 15 16 31 S -19042.525 0.229 8281.800 0.007 B- -12007.974 3.454 30 979557.007 0.246 + -3 14 17 31 Cl -- -7034.551 3.447 7869.209 0.111 B- -18360# 200# 30 992448.098 3.700 + -5 13 18 31 Ar - 11325# 200# 7252# 6# B- * 31 012158# 215# +0 12 22 10 32 Ne x 36999# 503# 6671# 16# B- 18359# 504# 32 039720# 540# + 10 21 11 32 Na x 18640.151 37.260 7219.881 1.164 B- 19469.051 37.402 32 020011.026 40.000 + 8 20 12 32 Mg x -828.900 3.260 7803.840 0.102 B- 10270.467 7.879 31 999110.139 3.500 + 6 19 13 32 Al x -11099.367 7.173 8100.344 0.224 B- 12978.319 7.179 31 988084.339 7.700 + 4 18 14 32 Si x -24077.686 0.298 8481.468 0.009 B- 227.188 0.301 31 974151.539 0.320 + 2 17 15 32 P -n -24304.874 0.040 8464.120 0.001 B- 1710.660 0.040 31 973907.643 0.042 + 0 16 16 32 S -26015.53355 0.00132 8493.129 0.000 B- -12680.860 0.562 31 972071.17443 0.00141 + -2 15 17 32 Cl -13334.674 0.562 8072.404 0.018 B- -11134.323 1.857 31 985684.637 0.603 + -4 14 18 32 Ar x -2200.351 1.770 7700.008 0.055 B- -23299# 401# 31 997637.826 1.900 + -6 13 19 32 K x 21098# 401# 6947# 13# B- * 32 022650# 430# +0 13 23 10 33 Ne x 45997# 596# 6440# 18# B- 22217# 747# 33 049380# 640# + 11 22 11 33 Na x 23780.110 449.912 7089.926 13.634 B- 18817.813 449.921 33 025529.000 483.000 + 9 21 12 33 Mg x 4962.297 2.888 7636.455 0.088 B- 13459.677 7.559 33 005327.245 3.100 + 7 20 13 33 Al x -8497.380 6.986 8020.616 0.212 B- 12016.945 7.021 32 990877.687 7.500 + 5 19 14 33 Si x -20514.325 0.699 8361.059 0.021 B- 5823.021 1.295 32 977976.964 0.750 + 3 18 15 33 P + -26337.346 1.090 8513.806 0.033 B- 248.508 1.090 32 971725.694 1.170 + 1 17 16 33 S -26585.85434 0.00135 8497.630 0.000 B- -5582.517 0.391 32 971458.90985 0.00145 + -1 16 17 33 Cl -21003.337 0.391 8304.755 0.012 B- -11619.044 0.560 32 977451.989 0.419 + -3 15 18 33 Ar x -9384.292 0.401 7928.955 0.012 B- -16426# 196# 32 989925.547 0.430 + -5 14 19 33 K x 7042# 196# 7407# 6# B- * 33 007560# 210# +0 14 24 10 34 Ne -nn 52842# 513# 6287# 15# B- 21161# 789# 34 056728# 551# + 12 23 11 34 Na x 31680.111 599.416 6886.437 17.630 B- 23356.764 600.112 34 034010.000 643.500 + 10 22 12 34 Mg x 8323.348 28.876 7550.390 0.849 B- 11323.637 29.039 34 008935.481 31.000 + 8 21 13 34 Al x -3000.289 3.074 7860.428 0.090 B- 16956.563 14.448 33 996779.057 3.300 + 6 20 14 34 Si +pp -19956.852 14.118 8336.141 0.415 B- 4591.847 14.141 33 978575.437 15.155 + 4 19 15 34 P x -24548.698 0.810 8448.185 0.024 B- 5382.987 0.812 33 973645.887 0.870 + 2 18 16 34 S -29931.685 0.045 8583.498 0.001 B- -5491.603 0.038 33 967867.012 0.047 + 0 17 17 34 Cl -24440.082 0.049 8398.970 0.001 B- -6061.792 0.063 33 973762.491 0.052 + -2 16 18 34 Ar -18378.290 0.078 8197.672 0.002 B- -17158# 196# 33 980270.093 0.083 + -4 15 19 34 K x -1220# 196# 7670# 6# B- -15072# 357# 33 998690# 210# + -6 14 20 34 Ca x 13851# 298# 7204# 9# B- * 34 014870# 320# +0 13 24 11 35 Na -n 38231# 670# 6733# 19# B- 22592# 723# 35 041043# 720# + 11 23 12 35 Mg x 15639.784 269.668 7356.233 7.705 B- 15863.512 269.768 35 016790.000 289.500 + 9 22 13 35 Al x -223.728 7.359 7787.124 0.210 B- 14167.729 36.605 34 999759.817 7.900 + 7 21 14 35 Si 2p-n -14391.457 35.857 8169.563 1.024 B- 10466.342 35.905 34 984550.134 38.494 + 5 20 15 35 P +p -24857.799 1.866 8446.249 0.053 B- 3988.407 1.867 34 973314.053 2.003 + 3 19 16 35 S -28846.206 0.040 8537.850 0.001 B- 167.322 0.026 34 969032.322 0.043 + 1 18 17 35 Cl -29013.528 0.035 8520.278 0.001 B- -5966.243 0.679 34 968852.694 0.038 + -1 17 18 35 Ar - -23047.284 0.680 8327.461 0.019 B- -11874.394 0.852 34 975257.721 0.730 + -3 16 19 35 K 4n -11172.891 0.512 7965.840 0.015 B- -15961# 196# 34 988005.407 0.550 + -5 15 20 35 Ca x 4788# 196# 7487# 6# B- * 35 005140# 210# +0 14 25 11 36 Na -n 46303# 678# 6546# 19# B- 25923# 967# 36 049708# 728# + 12 24 12 36 Mg x 20380.157 690.237 7244.419 19.173 B- 14429.774 706.243 36 021879.000 741.000 + 10 23 13 36 Al x 5950.384 149.505 7623.515 4.153 B- 18386.508 165.851 36 006388.000 160.500 + 8 22 14 36 Si x -12436.124 71.797 8112.519 1.994 B- 7814.911 72.985 35 986649.271 77.077 + 6 21 15 36 P + -20251.034 13.114 8307.868 0.364 B- 10413.096 13.112 35 978259.619 14.078 + 4 20 16 36 S -30664.131 0.188 8575.389 0.005 B- -1142.126 0.189 35 967080.699 0.201 + 2 19 17 36 Cl -29522.005 0.036 8521.931 0.001 B- 709.535 0.045 35 968306.822 0.038 + 0 18 18 36 Ar -30231.540 0.027 8519.909 0.001 B- -12814.475 0.342 35 967545.105 0.028 + -2 17 19 36 K -17417.065 0.341 8142.219 0.009 B- -10965.916 40.001 35 981302.010 0.366 + -4 16 20 36 Ca 4n -6451.149 40.000 7815.879 1.111 B- -21802# 301# 35 993074.406 42.941 + -6 15 21 36 Sc x 15351# 298# 7189# 8# B- * 36 016480# 320# +0 15 26 11 37 Na -nn 53534# 687# 6392# 19# B- 25323# 980# 37 057471# 737# + 13 25 12 37 Mg -n 28211.474 698.947 7055.111 18.890 B- 18401.911 721.814 37 030286.265 750.350 + 11 24 13 37 Al x 9809.563 180.244 7531.315 4.871 B- 16381.075 213.168 37 010531.000 193.500 + 9 23 14 37 Si x -6571.511 113.809 7952.903 3.076 B- 12424.486 119.969 36 992945.191 122.179 + 7 22 15 37 P p-2n -18995.998 37.948 8267.555 1.026 B- 7900.419 37.947 36 979606.956 40.738 + 5 21 16 37 S -n -26896.417 0.198 8459.935 0.005 B- 4865.121 0.196 36 971125.507 0.212 + 3 20 17 37 Cl -31761.538 0.052 8570.281 0.001 B- -813.873 0.200 36 965902.584 0.055 + 1 19 18 37 Ar - -30947.664 0.207 8527.139 0.006 B- -6147.465 0.227 36 966776.314 0.221 + -1 18 19 37 K -p -24800.199 0.094 8339.847 0.003 B- -11664.133 0.641 36 973375.889 0.100 + -3 17 20 37 Ca x -13136.066 0.634 8003.456 0.017 B- -16656# 300# 36 985897.852 0.680 + -5 16 21 37 Sc x 3520# 300# 7532# 8# B- * 37 003779# 322# +0 14 26 12 38 Mg x 34074# 503# 6928# 13# B- 17864# 627# 38 036580# 540# + 12 25 13 38 Al x 16209.859 374.461 7377.097 9.854 B- 20380.157 388.847 38 017402.000 402.000 + 10 24 14 38 Si x -4170.299 104.793 7892.829 2.758 B- 10451.265 127.474 37 995523.000 112.500 + 8 23 15 38 P x -14621.563 72.581 8147.274 1.910 B- 12239.640 72.934 37 984303.105 77.918 + 6 22 16 38 S + -26861.203 7.172 8448.782 0.189 B- 2936.900 7.171 37 971163.310 7.699 + 4 21 17 38 Cl -n -29798.103 0.098 8505.481 0.003 B- 4916.718 0.218 37 968010.418 0.105 + 2 20 18 38 Ar -34714.821 0.195 8614.280 0.005 B- -5914.066 0.045 37 962732.104 0.209 + 0 19 19 38 K -28800.755 0.195 8438.058 0.005 B- -6742.256 0.063 37 969081.116 0.209 + -2 18 20 38 Ca -22058.499 0.194 8240.043 0.005 B- -17809# 200# 37 976319.226 0.208 + -4 17 21 38 Sc x -4249# 200# 7751# 5# B- -15119# 361# 37 995438# 215# + -6 16 22 38 Ti x 10870# 300# 7332# 8# B- * 38 011669# 322# +0 15 27 12 39 Mg -n 42275# 513# 6747# 13# B- 21625# 650# 39 045384# 551# + 13 26 13 39 Al x 20650# 400# 7281# 10# B- 18330# 422# 39 022169# 429# + 11 25 14 39 Si x 2320.352 135.532 7730.979 3.475 B- 15094.986 176.232 39 002491.000 145.500 + 9 24 15 39 P x -12774.634 112.645 8097.969 2.888 B- 10388.033 123.243 38 986285.865 120.929 + 7 23 16 39 S 2p-n -23162.667 50.000 8344.269 1.282 B- 6637.538 50.030 38 975133.852 53.677 + 5 22 17 39 Cl -nn -29800.205 1.732 8494.402 0.044 B- 3441.985 5.292 38 968008.162 1.859 + 3 21 18 39 Ar + -33242.190 5.000 8562.598 0.128 B- 565.000 5.000 38 964313.039 5.367 + 1 20 19 39 K -33807.19010 0.00458 8557.025 0.000 B- -6524.488 0.596 38 963706.48661 0.00492 + -1 19 20 39 Ca -27282.702 0.596 8369.670 0.015 B- -13109.993 24.007 38 970710.813 0.640 + -3 18 21 39 Sc 2n-p -14172.709 24.000 8013.456 0.615 B- -16373# 202# 38 984784.970 25.765 + -5 17 22 39 Ti x 2200# 200# 7574# 5# B- * 39 002362# 215# +0 16 28 12 40 Mg x 48350# 500# 6628# 13# B- 20760# 640# 40 051906# 537# + 14 27 13 40 Al x 27590# 400# 7127# 10# B- 22160# 528# 40 029619# 429# + 12 26 14 40 Si x 5429.679 345.119 7661.754 8.628 B- 13544.049 377.749 40 005829.000 370.500 + 10 25 15 40 P x -8114.370 153.582 7980.796 3.840 B- 14723.476 153.633 39 991288.865 164.876 + 8 24 16 40 S -22837.846 3.982 8329.325 0.100 B- 4719.967 32.312 39 975482.562 4.274 + 6 23 17 40 Cl + -27557.813 32.066 8427.765 0.802 B- 7482.082 32.066 39 970415.469 34.423 + 4 22 18 40 Ar -35039.89464 0.00224 8595.259 0.000 B- -1504.403 0.056 39 962383.12378 0.00240 + 2 21 19 40 K -33535.492 0.056 8538.090 0.001 B- 1310.893 0.060 39 963998.166 0.060 + 0 20 20 40 Ca -34846.384 0.021 8551.303 0.001 B- -14323.050 2.828 39 962590.865 0.022 + -2 19 21 40 Sc - -20523.335 2.828 8173.669 0.071 B- -11672.950 160.025 39 977967.292 3.036 + -4 18 22 40 Ti -- -8850.384 160.000 7862.286 4.000 B- -21020# 340# 39 990498.721 171.767 + -6 17 23 40 V x 12170# 300# 7317# 7# B- * 40 013065# 322# +0 15 28 13 41 Al x 33420# 500# 7008# 12# B- 21300# 747# 41 035878# 537# + 13 27 14 41 Si x 12119.668 554.705 7508.573 13.529 B- 17099.435 567.571 41 013011.000 595.500 + 11 26 15 41 P x -4979.767 120.163 7906.551 2.931 B- 14028.810 120.233 40 994654.000 129.000 + 9 25 16 41 S x -19008.577 4.099 8229.635 0.100 B- 8298.611 68.846 40 979593.451 4.400 + 7 24 17 41 Cl x -27307.189 68.723 8412.959 1.676 B- 5760.317 68.724 40 970684.525 73.777 + 5 23 18 41 Ar -n -33067.505 0.347 8534.372 0.008 B- 2492.038 0.347 40 964500.571 0.372 + 3 22 19 41 K -35559.54331 0.00380 8576.072 0.000 B- -421.653 0.138 40 961825.25796 0.00408 + 1 21 20 41 Ca -35137.890 0.138 8546.706 0.003 B- -6495.478 0.158 40 962277.921 0.147 + -1 20 21 41 Sc -28642.412 0.083 8369.198 0.002 B- -12944.875 27.945 40 969251.104 0.088 + -3 19 22 41 Ti x -15697.537 27.945 8034.388 0.682 B- -16018# 202# 40 983148.000 30.000 + -5 18 23 41 V x 320# 200# 7625# 5# B- * 41 000344# 215# +0 16 29 13 42 Al x 40100# 600# 6874# 14# B- 23630# 781# 42 043049# 644# + 14 28 14 42 Si x 16470# 500# 7418# 12# B- 15460# 591# 42 017681# 537# + 12 27 15 42 P x 1009.740 314.379 7767.866 7.485 B- 18647.485 314.392 42 001084.000 337.500 + 10 26 16 42 S x -17637.746 2.794 8193.227 0.067 B- 7194.021 59.681 41 981065.100 3.000 + 8 25 17 42 Cl x -24831.767 59.616 8345.886 1.419 B- 9590.908 59.895 41 973342.000 64.000 + 6 24 18 42 Ar x -34422.675 5.775 8555.613 0.138 B- 599.351 5.776 41 963045.736 6.200 + 4 23 19 42 K -n -35022.026 0.106 8551.256 0.003 B- 3525.219 0.183 41 962402.306 0.113 + 2 22 20 42 Ca -38547.245 0.149 8616.563 0.004 B- -6426.092 0.097 41 958617.828 0.159 + 0 21 21 42 Sc -32121.153 0.169 8444.933 0.004 B- -7016.479 0.224 41 965516.522 0.181 + -2 20 22 42 Ti -25104.674 0.277 8259.247 0.007 B- -17485# 196# 41 973049.022 0.297 + -4 19 23 42 V x -7620# 196# 7824# 5# B- -14350# 445# 41 991820# 210# + -6 18 24 42 Cr x 6730# 400# 7464# 10# B- * 42 007225# 429# +0 17 30 13 43 Al x 47020# 800# 6741# 19# B- 23919# 998# 43 050478# 859# + 15 29 14 43 Si x 23101# 596# 7279# 14# B- 18421# 814# 43 024800# 640# + 13 28 15 43 P x 4679.826 554.705 7689.572 12.900 B- 16875.285 554.727 43 005024.000 595.500 + 11 27 16 43 S x -12195.459 4.970 8063.827 0.116 B- 11964.049 62.058 42 986907.635 5.335 + 9 26 17 43 Cl x -24159.508 61.858 8323.866 1.439 B- 7850.300 62.086 42 974063.700 66.407 + 7 25 18 43 Ar x -32009.808 5.310 8488.237 0.123 B- 4565.581 5.325 42 965636.055 5.700 + 5 24 19 43 K -4n -36575.389 0.410 8576.220 0.010 B- 1833.434 0.469 42 960734.703 0.440 + 3 23 20 43 Ca -38408.822 0.228 8600.663 0.005 B- -2220.720 1.865 42 958766.430 0.244 + 1 22 21 43 Sc -p -36188.102 1.863 8530.825 0.043 B- -6867.020 7.481 42 961150.472 1.999 + -1 21 22 43 Ti -n2p -29321.082 7.245 8352.932 0.168 B- -11404.726 43.457 42 968522.521 7.777 + -3 20 23 43 V x -17916.356 42.849 8069.512 0.996 B- -15946# 402# 42 980766.000 46.000 + -5 19 24 43 Cr x -1970# 400# 7680# 9# B- * 42 997885# 429# +0 16 30 14 44 Si x 28513# 596# 7174# 14# B- 18063# 778# 44 030610# 640# + 14 29 15 44 P x 10450# 500# 7567# 11# B- 19655# 500# 44 011219# 537# + 12 28 16 44 S x -9204.233 5.216 7996.015 0.119 B- 11180.290 136.421 43 990118.848 5.600 + 10 27 17 44 Cl x -20384.523 136.321 8232.332 3.098 B- 12288.731 136.330 43 978116.312 146.346 + 8 26 18 44 Ar x -32673.255 1.584 8493.840 0.036 B- 3108.237 1.638 43 964923.816 1.700 + 6 25 19 44 K x -35781.492 0.419 8546.701 0.010 B- 5687.183 0.530 43 961586.986 0.450 + 4 24 20 44 Ca -41468.675 0.325 8658.175 0.007 B- -3652.690 1.757 43 955481.543 0.348 + 2 23 21 44 Sc -p -37815.985 1.756 8557.379 0.040 B- -267.416 1.890 43 959402.867 1.884 + 0 22 22 44 Ti -a -37548.569 0.700 8533.520 0.016 B- -13432.189 181.643 43 959689.951 0.751 + -2 21 23 44 V x -24116.380 181.641 8210.463 4.128 B- -10756# 351# 43 974110.000 195.000 + -4 20 24 44 Cr x -13360# 300# 7948# 7# B- -20390# 583# 43 985657# 322# + -6 19 25 44 Mn x 7030# 500# 7467# 11# B- * 44 007547# 537# +0 17 31 14 45 Si x 37490# 700# 6995# 16# B- 21890# 860# 45 040247# 751# + 15 30 15 45 P x 15600# 500# 7464# 11# B- 19589# 1150# 45 016747# 537# + 13 29 16 45 S x -3989.589 1035.356 7881.807 23.008 B- 14272.954 1044.271 44 995717.000 1111.500 + 11 28 17 45 Cl x -18262.543 136.163 8181.598 3.026 B- 11508.254 136.164 44 980394.353 146.177 + 9 27 18 45 Ar x -29770.796 0.512 8419.952 0.011 B- 6844.841 0.731 44 968039.733 0.550 + 7 26 19 45 K x -36615.638 0.522 8554.674 0.012 B- 4196.536 0.637 44 960691.493 0.560 + 5 25 20 45 Ca -40812.174 0.366 8630.545 0.008 B- 259.722 0.747 44 956186.326 0.392 + 3 24 21 45 Sc -41071.896 0.675 8618.931 0.015 B- -2062.056 0.509 44 955907.503 0.724 + 1 23 22 45 Ti -39009.840 0.845 8555.722 0.019 B- -7123.824 0.214 44 958121.211 0.907 + -1 22 23 45 V -31886.016 0.872 8380.029 0.019 B- -12371.217 35.408 44 965768.951 0.935 + -3 21 24 45 Cr x -19514.799 35.397 8087.728 0.787 B- -14265# 401# 44 979050.000 38.000 + -5 20 25 45 Mn x -5250# 400# 7753# 9# B- -19012# 565# 44 994364# 429# + -7 19 26 45 Fe -pp 13762# 400# 7313# 9# B- * 45 014774# 429# +0 16 31 15 46 P x 22970# 700# 7317# 15# B- 22630# 860# 46 024659# 751# + 14 30 16 46 S x 340# 500# 7792# 11# B- 14199# 542# 46 000365# 537# + 12 29 17 46 Cl x -13859.398 208.661 8083.480 4.536 B- 15913.528 208.664 45 985121.323 224.006 + 10 28 18 46 Ar x -29772.926 1.118 8412.419 0.024 B- 5640.997 1.333 45 968037.446 1.200 + 8 27 19 46 K x -35413.924 0.727 8518.042 0.016 B- 7725.438 2.350 45 961981.586 0.780 + 6 26 20 46 Ca -43139.361 2.235 8668.979 0.049 B- -1378.143 2.333 45 953687.988 2.399 + 4 25 21 46 Sc -n -41761.219 0.683 8622.012 0.015 B- 2366.581 0.667 45 955167.485 0.732 + 2 24 22 46 Ti -44127.799 0.165 8656.451 0.004 B- -7052.449 0.093 45 952626.856 0.176 + 0 23 23 46 V -37075.351 0.202 8486.130 0.004 B- -7603.784 11.455 45 960197.971 0.216 + -2 22 24 46 Cr -29471.567 11.453 8303.823 0.249 B- -16902# 400# 45 968360.970 12.295 + -4 21 25 46 Mn x -12570# 400# 7919# 9# B- -13480# 640# 45 986506# 429# + -6 20 26 46 Fe x 910# 500# 7609# 11# B- * 46 000977# 537# +0 17 32 15 47 P x 29710# 800# 7190# 17# B- 22340# 944# 47 031895# 859# + 15 31 16 47 S x 7370# 500# 7648# 11# B- 17150# 640# 47 007912# 537# + 13 30 17 47 Cl x -9780# 400# 7996# 9# B- 15587# 400# 46 989501# 429# + 11 29 18 47 Ar x -25366.338 1.118 8311.404 0.024 B- 10345.638 1.789 46 972768.114 1.200 + 9 28 19 47 K x -35711.976 1.397 8514.879 0.030 B- 6632.442 2.625 46 961661.614 1.500 + 7 27 20 47 Ca -42344.418 2.222 8639.349 0.047 B- 1992.177 1.185 46 954541.394 2.385 + 5 26 21 47 Sc -44336.595 1.933 8665.090 0.041 B- 600.769 1.929 46 952402.704 2.074 + 3 25 22 47 Ti -44937.364 0.115 8661.227 0.002 B- -2930.746 0.138 46 951757.752 0.123 + 1 24 23 47 V -42006.618 0.169 8582.225 0.004 B- -7444.040 6.032 46 954904.038 0.181 + -1 23 24 47 Cr -34562.578 6.030 8407.195 0.128 B- -11996.204 32.240 46 962895.544 6.473 + -3 22 25 47 Mn x -22566.374 31.671 8135.311 0.674 B- -15697# 501# 46 975774.000 34.000 + -5 21 26 47 Fe x -6870# 500# 7785# 11# B- -17240# 781# 46 992625# 537# + -7 20 27 47 Co x 10370# 600# 7401# 13# B- * 47 011133# 644# +0 16 32 16 48 S x 12761# 596# 7545# 12# B- 17042# 778# 48 013700# 640# + 14 31 17 48 Cl x -4280# 500# 7883# 10# B- 18001# 587# 47 995405# 537# + 12 30 18 48 Ar x -22281.337 307.393 8242.132 6.404 B- 10003.140 307.394 47 976080.000 330.000 + 10 29 19 48 K x -32284.477 0.773 8434.232 0.016 B- 11940.153 0.779 47 965341.186 0.830 + 8 28 20 48 Ca -44224.629 0.096 8666.686 0.002 B- 279.213 4.950 47 952522.904 0.103 + 6 27 21 48 Sc -44503.842 4.951 8656.204 0.103 B- 3988.866 4.950 47 952223.157 5.314 + 4 26 22 48 Ti -48492.709 0.109 8723.006 0.002 B- -4015.015 0.969 47 947940.932 0.117 + 2 25 23 48 V -44477.694 0.975 8623.061 0.020 B- -1655.673 7.388 47 952251.229 1.046 + 0 24 24 48 Cr +nn -42822.020 7.324 8572.269 0.153 B- -13525.682 10.087 47 954028.667 7.862 + -2 23 25 48 Mn -29296.338 6.939 8274.185 0.145 B- -11296# 400# 47 968549.085 7.449 + -4 22 26 48 Fe x -18000# 400# 8023# 8# B- -19500# 640# 47 980676# 429# + -6 21 27 48 Co x 1500# 500# 7600# 10# B- -15293# 708# 48 001610# 537# + -8 20 28 48 Ni -pp 16793# 502# 7265# 10# B- * 48 018028# 538# +0 17 33 16 49 S -n 21093# 667# 7385# 14# B- 20153# 897# 49 022644# 716# + 15 32 17 49 Cl x 940# 600# 7781# 12# B- 18130# 721# 49 001009# 644# + 13 31 18 49 Ar x -17190# 400# 8135# 8# B- 12422# 400# 48 981546# 429# + 11 30 19 49 K x -29611.490 0.801 8372.274 0.016 B- 11688.275 0.826 48 968210.755 0.860 + 9 29 20 49 Ca -n -41299.765 0.201 8594.844 0.004 B- 5261.500 2.702 48 955662.875 0.216 + 7 28 21 49 Sc -46561.265 2.698 8686.256 0.055 B- 2002.522 2.697 48 950014.423 2.896 + 5 27 22 49 Ti -48563.787 0.114 8711.157 0.002 B- -601.856 0.820 48 947864.627 0.122 + 3 26 23 49 V - -47961.931 0.828 8682.908 0.017 B- -2628.871 2.391 48 948510.746 0.889 + 1 25 24 49 Cr -45333.060 2.243 8613.291 0.046 B- -7712.426 0.233 48 951332.955 2.407 + -1 24 25 49 Mn -37620.634 2.255 8439.929 0.046 B- -12869.907 24.324 48 959612.585 2.420 + -3 23 26 49 Fe x -24750.727 24.219 8161.311 0.494 B- -14870# 501# 48 973429.000 26.000 + -5 22 27 49 Co x -9880# 500# 7842# 10# B- -18080# 781# 48 989393# 537# + -7 21 28 49 Ni x 8200# 600# 7457# 12# B- * 49 008803# 644# +0 16 33 17 50 Cl x 7740# 600# 7651# 12# B- 21069# 781# 50 008309# 644# + 14 32 18 50 Ar x -13330# 500# 8056# 10# B- 12398# 500# 49 985690# 537# + 12 31 19 50 K x -25727.848 7.731 8288.582 0.155 B- 13861.376 7.892 49 972380.017 8.300 + 10 30 20 50 Ca x -39589.224 1.584 8550.163 0.032 B- 4958.158 15.084 49 957499.217 1.700 + 8 29 21 50 Sc -pn -44547.382 15.000 8633.679 0.300 B- 6884.278 15.000 49 952176.415 16.103 + 6 28 22 50 Ti -51431.660 0.121 8755.718 0.002 B- -2207.647 0.426 49 944785.839 0.129 + 4 27 23 50 V +n -49224.013 0.409 8695.918 0.008 B- 1038.059 0.299 49 947155.845 0.438 + 2 26 24 50 Cr -50262.072 0.437 8701.032 0.009 B- -7634.477 0.067 49 946041.443 0.468 + 0 25 25 50 Mn -42627.595 0.442 8532.696 0.009 B- -8151.139 8.395 49 954237.391 0.474 + -2 24 26 50 Fe x -34476.456 8.383 8354.026 0.168 B- -16846# 400# 49 962988.000 9.000 + -4 23 27 50 Co x -17630# 400# 8001# 8# B- -13510# 640# 49 981073# 429# + -6 22 28 50 Ni x -4120# 500# 7716# 10# B- * 49 995577# 537# +0 17 34 17 51 Cl x 14290# 700# 7530# 14# B- 20980# 922# 51 015341# 751# + 15 33 18 51 Ar x -6690# 600# 7926# 12# B- 15826# 600# 50 992818# 644# + 13 32 19 51 K x -22516.196 13.047 8221.349 0.256 B- 13816.107 13.057 50 975827.867 14.006 + 11 31 20 51 Ca x -36332.304 0.522 8476.913 0.010 B- 6896.381 20.007 50 960995.665 0.560 + 9 30 21 51 Sc -p2n -43228.684 20.000 8596.796 0.392 B- 6504.153 20.006 50 953592.095 21.471 + 7 29 22 51 Ti -n -49732.837 0.505 8708.988 0.010 B- 2471.005 0.644 50 946609.600 0.541 + 5 28 23 51 V -52203.842 0.401 8742.099 0.008 B- -752.447 0.213 50 943956.867 0.430 + 3 27 24 51 Cr -51451.395 0.400 8712.005 0.008 B- -3207.518 0.346 50 944764.652 0.429 + 1 26 25 51 Mn -48243.877 0.502 8633.772 0.010 B- -8041.321 8.977 50 948208.065 0.539 + -1 25 26 51 Fe -40202.555 8.964 8460.759 0.176 B- -12860.412 49.260 50 956840.779 9.623 + -3 24 27 51 Co x -27342.143 48.438 8193.254 0.950 B- -15442# 503# 50 970647.000 52.000 + -5 23 28 51 Ni x -11900# 500# 7875# 10# B- * 50 987225# 537# +0 16 34 18 52 Ar x -1280# 600# 7825# 12# B- 15858# 601# 51 998626# 644# + 14 33 19 52 K x -17137.627 33.534 8115.029 0.645 B- 17128.639 33.540 51 981602.000 36.000 + 12 32 20 52 Ca x -34266.266 0.671 8429.381 0.013 B- 6177.013 81.855 51 963213.648 0.720 + 10 31 21 52 Sc x -40443.279 81.852 8533.125 1.574 B- 9026.541 82.157 51 956582.351 87.871 + 8 30 22 52 Ti -nn -49469.820 7.072 8691.667 0.136 B- 1973.948 7.085 51 946891.960 7.592 + 6 29 23 52 V -n -51443.769 0.420 8714.582 0.008 B- 3975.473 0.531 51 944772.839 0.450 + 4 28 24 52 Cr -55419.242 0.340 8775.989 0.007 B- -4711.958 1.851 51 940504.992 0.364 + 2 27 25 52 Mn -50707.284 1.845 8670.329 0.035 B- -2376.920 5.017 51 945563.488 1.980 + 0 26 26 52 Fe -48330.363 5.117 8609.574 0.098 B- -13969.413 9.822 51 948115.217 5.493 + -2 25 27 52 Co x -34360.951 8.383 8325.886 0.161 B- -12031# 400# 51 963112.000 9.000 + -4 24 28 52 Ni x -22330# 400# 8079# 8# B- -20049# 721# 51 976028# 429# + -6 23 29 52 Cu x -2280# 600# 7679# 12# B- * 51 997552# 644# +0 17 35 18 53 Ar x 6791# 699# 7677# 13# B- 19086# 708# 53 007290# 750# + 15 34 19 53 K x -12295.721 111.779 8022.848 2.109 B- 17091.983 120.047 52 986800.000 120.000 + 13 33 20 53 Ca x -29387.704 43.780 8330.577 0.826 B- 9519.104 103.774 52 968451.000 47.000 + 11 32 21 53 Sc x -38906.808 94.087 8495.421 1.775 B- 7924.253 137.339 52 958231.821 101.006 + 9 31 22 53 Ti + -46831.061 100.049 8630.174 1.888 B- 5020.000 100.000 52 949724.785 107.406 + 7 30 23 53 V +p -51851.061 3.120 8710.130 0.059 B- 3435.938 3.102 52 944335.593 3.349 + 5 29 24 53 Cr -55286.999 0.348 8760.198 0.007 B- -596.884 0.356 52 940646.961 0.373 + 3 28 25 53 Mn -54690.116 0.450 8734.175 0.009 B- -3742.586 1.686 52 941287.742 0.483 + 1 27 26 53 Fe -50947.530 1.656 8648.799 0.031 B- -8288.101 0.443 52 945305.574 1.777 + -1 26 27 53 Co -42659.428 1.713 8477.658 0.032 B- -13028.604 25.209 52 954203.217 1.839 + -3 25 28 53 Ni x -29630.824 25.150 8217.074 0.475 B- -16361# 501# 52 968190.000 27.000 + -5 24 29 53 Cu x -13270# 500# 7894# 9# B- * 52 985754# 537# +0 16 35 19 54 K x -5002# 596# 7889# 11# B- 20158# 598# 53 994630# 640# + 14 34 20 54 Ca x -25160.585 48.438 8247.496 0.897 B- 8730.315 277.066 53 972989.000 52.000 + 12 33 21 54 Sc x -33890.900 272.800 8394.681 5.052 B- 11731.081 284.990 53 963616.620 292.862 + 10 32 22 54 Ti x -45621.981 82.461 8597.435 1.527 B- 4271.192 83.815 53 951022.786 88.526 + 8 31 23 54 V + -49893.173 15.004 8662.043 0.278 B- 7041.592 15.000 53 946437.472 16.107 + 6 30 24 54 Cr -56934.765 0.353 8777.955 0.007 B- -1377.136 1.008 53 938878.012 0.378 + 4 29 25 54 Mn -p -55557.629 1.059 8737.965 0.020 B- 696.872 1.076 53 940356.429 1.136 + 2 28 26 54 Fe -56254.500 0.372 8736.382 0.007 B- -8244.547 0.089 53 939608.306 0.399 + 0 27 27 54 Co -48009.953 0.383 8569.217 0.007 B- -8731.646 4.673 53 948459.192 0.411 + -2 26 28 54 Ni x -39278.308 4.657 8393.032 0.086 B- -17868# 400# 53 957833.000 5.000 + -4 25 29 54 Cu x -21410# 400# 8048# 7# B- -15139# 565# 53 977015# 429# + -6 24 30 54 Zn -pp -6272# 400# 7753# 7# B- * 53 993267# 430# +0 17 36 19 55 K x 708# 699# 7788# 13# B- 19058# 760# 55 000760# 750# + 15 35 20 55 Ca x -18350# 300# 8120# 5# B- 11809# 544# 54 980300# 322# + 13 34 21 55 Sc x -30159.352 454.342 8320.955 8.261 B- 11508.735 482.226 54 967622.601 487.756 + 11 33 22 55 Ti -41668.088 161.602 8515.980 2.938 B- 7476.498 157.206 54 955267.465 173.486 + 9 32 23 55 V -49144.586 95.104 8637.692 1.729 B- 5965.125 95.103 54 947241.114 102.098 + 7 31 24 55 Cr -55109.710 0.399 8731.924 0.007 B- 2602.703 0.368 54 940837.289 0.428 + 5 30 25 55 Mn -57712.413 0.303 8765.022 0.006 B- -231.114 0.179 54 938043.172 0.325 + 3 29 26 55 Fe -57481.300 0.342 8746.595 0.006 B- -3451.417 0.324 54 938291.283 0.367 + 1 28 27 55 Co -54029.883 0.428 8669.618 0.008 B- -8694.034 0.578 54 941996.531 0.459 + -1 27 28 55 Ni - -45335.849 0.719 8497.320 0.013 B- -13700.449 155.561 54 951329.961 0.771 + -3 26 29 55 Cu x -31635.399 155.559 8233.996 2.828 B- -17065# 429# 54 966038.000 167.000 + -5 25 30 55 Zn x -14570# 400# 7909# 7# B- * 54 984358# 429# +0 18 37 19 56 K x 7927# 801# 7664# 14# B- 21825# 895# 56 008510# 860# + 16 36 20 56 Ca x -13898# 400# 8040# 7# B- 10954# 710# 55 985080# 429# + 14 35 21 56 Sc x -24852.260 586.841 8221.728 10.479 B- 14467.788 599.236 55 973320.000 630.000 + 12 34 22 56 Ti -39320.048 121.247 8466.110 2.165 B- 6834.833 194.550 55 957788.190 130.164 + 10 33 23 56 V -46154.881 176.898 8574.191 3.159 B- 9130.120 176.899 55 950450.694 189.907 + 8 32 24 56 Cr ++ -55285.001 0.603 8723.258 0.011 B- 1626.538 0.561 55 940649.107 0.647 + 6 31 25 56 Mn -n -56911.538 0.331 8738.333 0.006 B- 3695.544 0.207 55 938902.947 0.355 + 4 30 26 56 Fe -60607.082 0.302 8790.354 0.005 B- -4566.680 0.411 55 934935.617 0.324 + 2 29 27 56 Co -56040.402 0.493 8694.836 0.009 B- -2132.863 0.374 55 939838.150 0.529 + 0 28 28 56 Ni -53907.539 0.422 8642.779 0.008 B- -15264.511 14.910 55 942127.872 0.452 + -2 27 29 56 Cu x -38643.029 14.904 8356.227 0.266 B- -13253# 400# 55 958515.000 16.000 + -4 26 30 56 Zn x -25390# 400# 8106# 7# B- -22000# 640# 55 972743# 429# + -6 25 31 56 Ga x -3390# 500# 7699# 9# B- * 55 996361# 537# +0 17 37 20 57 Ca x -6874# 400# 7917# 7# B- 14121# 1364# 56 992620# 429# + 15 36 21 57 Sc x -20995.875 1304.092 8151.433 22.879 B- 12919.758 1329.062 56 977460.000 1400.000 + 13 35 22 57 Ti x -33915.633 256.417 8364.370 4.499 B- 10497.818 268.750 56 963590.068 275.274 + 11 34 23 57 V x -44413.450 80.479 8534.817 1.412 B- 8111.252 80.486 56 952320.197 86.397 + 9 33 24 57 Cr x -52524.702 1.068 8663.394 0.019 B- 4961.548 1.846 56 943612.409 1.146 + 7 32 25 57 Mn -57486.251 1.505 8736.713 0.026 B- 2695.589 1.526 56 938285.968 1.615 + 5 31 26 57 Fe -60181.839 0.304 8770.279 0.005 B- -836.276 0.451 56 935392.134 0.326 + 3 30 27 57 Co -59345.564 0.533 8741.882 0.009 B- -3261.731 0.642 56 936289.913 0.572 + 1 29 28 57 Ni -56083.833 0.582 8670.933 0.010 B- -8774.947 0.439 56 939791.525 0.624 + -1 28 29 57 Cu -47308.886 0.519 8503.262 0.009 B- -14759# 200# 56 949211.819 0.557 + -3 27 30 57 Zn x -32550# 200# 8231# 4# B- -17540# 447# 56 965056# 215# + -5 26 31 57 Ga x -15010# 400# 7909# 7# B- * 56 983886# 429# +0 18 38 20 58 Ca x -1919# 500# 7835# 9# B- 12957# 640# 57 997940# 537# + 16 37 21 58 Sc x -14876# 400# 8045# 7# B- 16234# 447# 57 984030# 429# + 14 36 22 58 Ti x -31110# 200# 8311# 3# B- 9292# 219# 57 966602# 215# + 12 35 23 58 V x -40401.753 89.374 8457.658 1.541 B- 11590.049 89.386 57 956626.932 95.947 + 10 34 24 58 Cr x -51991.801 1.490 8643.998 0.026 B- 3835.759 3.085 57 944184.502 1.600 + 8 33 25 58 Mn x -55827.560 2.701 8696.643 0.047 B- 6327.553 2.723 57 940066.646 2.900 + 6 32 26 58 Fe -62155.113 0.343 8792.250 0.006 B- -2307.955 1.139 57 933273.738 0.368 + 4 31 27 58 Co -59847.158 1.160 8738.969 0.020 B- 381.586 1.107 57 935751.429 1.245 + 2 30 28 58 Ni -60228.744 0.373 8732.059 0.006 B- -8561.019 0.443 57 935341.780 0.400 + 0 29 29 58 Cu -51667.725 0.578 8570.967 0.010 B- -9368.981 50.002 57 944532.413 0.621 + -2 28 30 58 Zn -- -42298.744 50.001 8395.944 0.862 B- -18759# 304# 57 954590.428 53.678 + -4 27 31 58 Ga x -23540# 300# 8059# 5# B- -16459# 583# 57 974729# 322# + -6 26 32 58 Ge x -7080# 500# 7762# 9# B- * 57 992399# 537# +0 17 38 21 59 Sc x -10302# 400# 7967# 7# B- 15208# 447# 58 988940# 429# + 15 37 22 59 Ti x -25510# 200# 8212# 3# B- 12322# 258# 58 972614# 215# + 13 36 23 59 V x -37832.015 161.874 8407.555 2.744 B- 10253.745 270.218 58 959385.659 173.778 + 11 35 24 59 Cr x -48085.760 216.367 8568.087 3.667 B- 7439.560 216.380 58 948377.810 232.279 + 9 34 25 59 Mn x -55525.320 2.329 8680.921 0.039 B- 5139.485 2.356 58 940391.113 2.500 + 7 33 26 59 Fe -60664.805 0.355 8754.771 0.006 B- 1564.903 0.369 58 934873.649 0.380 + 5 32 27 59 Co -62229.709 0.418 8768.035 0.007 B- -1073.002 0.194 58 933193.656 0.448 + 3 31 28 59 Ni -61156.707 0.374 8736.588 0.006 B- -4798.380 0.397 58 934345.571 0.402 + 1 30 29 59 Cu -56358.327 0.544 8642.000 0.009 B- -9142.775 0.602 58 939496.844 0.584 + -1 29 30 59 Zn -47215.551 0.771 8473.777 0.013 B- -13455# 170# 58 949312.017 0.827 + -3 28 31 59 Ga x -33760# 170# 8232# 3# B- -17890# 434# 58 963757# 183# + -5 27 32 59 Ge x -15870# 400# 7916# 7# B- * 58 982963# 429# +0 18 39 21 60 Sc x -4052# 500# 7865# 8# B- 18278# 583# 59 995650# 537# + 16 38 22 60 Ti x -22330# 300# 8157# 5# B- 10912# 372# 59 976028# 322# + 14 37 23 60 V x -33241.956 220.159 8325.450 3.669 B- 13427.621 293.169 59 964313.290 236.350 + 12 36 24 60 Cr x -46669.576 193.593 8536.205 3.227 B- 6298.361 193.607 59 949898.146 207.830 + 10 35 25 60 Mn x -52967.938 2.329 8628.138 0.039 B- 8445.079 4.128 59 943136.576 2.500 + 8 34 26 60 Fe -nn -61413.017 3.409 8755.851 0.057 B- 237.293 3.411 59 934070.411 3.659 + 6 33 27 60 Co -n -61650.309 0.424 8746.766 0.007 B- 2822.809 0.212 59 933815.667 0.455 + 4 32 28 60 Ni -64473.118 0.376 8780.774 0.006 B- -6127.982 1.573 59 930785.256 0.403 + 2 31 29 60 Cu - -58345.137 1.618 8665.602 0.027 B- -4170.797 1.629 59 937363.916 1.736 + 0 30 30 60 Zn -54174.340 0.564 8583.050 0.009 B- -14584# 200# 59 941841.450 0.605 + -2 29 31 60 Ga x -39590# 200# 8327# 3# B- -12501# 361# 59 957498# 215# + -4 28 32 60 Ge x -27090# 300# 8106# 5# B- -21620# 500# 59 970918# 322# + -6 27 33 60 As x -5470# 400# 7732# 7# B- * 59 994128# 429# +0 19 40 21 61 Sc x 931# 600# 7787# 10# B- 17281# 721# 61 001000# 644# + 17 39 22 61 Ti x -16350# 400# 8057# 7# B- 14157# 979# 60 982448# 429# + 15 38 23 61 V x -30506.429 894.234 8276.439 14.660 B- 11968.800 899.958 60 967250.000 960.000 + 13 37 24 61 Cr x -42475.229 101.341 8459.824 1.661 B- 9266.893 101.367 60 954400.963 108.793 + 11 36 25 61 Mn x -51742.122 2.329 8598.915 0.038 B- 7178.372 3.497 60 944452.544 2.500 + 9 35 26 61 Fe x -58920.494 2.608 8703.768 0.043 B- 3977.572 2.742 60 936746.244 2.800 + 7 34 27 61 Co p2n -62898.066 0.846 8756.148 0.014 B- 1323.839 0.790 60 932476.145 0.908 + 5 33 28 61 Ni -64221.905 0.378 8765.025 0.006 B- -2237.845 0.966 60 931054.945 0.405 + 3 32 29 61 Cu p2n -61984.059 0.953 8715.514 0.016 B- -5635.156 15.903 60 933457.371 1.023 + 1 31 30 61 Zn -56348.903 15.899 8610.309 0.261 B- -9214.245 37.679 60 939506.960 17.068 + -1 30 31 61 Ga -47134.659 37.994 8446.431 0.623 B- -13775# 302# 60 949398.859 40.787 + -3 29 32 61 Ge x -33360# 300# 8208# 5# B- -16459# 424# 60 964187# 322# + -5 28 33 61 As x -16900# 300# 7925# 5# B- * 60 981857# 322# +0 18 40 22 62 Ti x -12500# 400# 7995# 6# B- 12977# 499# 61 986581# 429# + 16 39 23 62 V x -25476# 298# 8192# 5# B- 15419# 333# 61 972650# 320# + 14 38 24 62 Cr x -40894.961 148.099 8428.069 2.389 B- 7628.996 148.244 61 956097.451 158.991 + 12 37 25 62 Mn IT -48523.957 6.542 8538.499 0.106 B- 10354.091 7.114 61 947907.386 7.023 + 10 36 26 62 Fe x -58878.048 2.794 8692.882 0.045 B- 2546.235 18.784 61 936791.812 3.000 + 8 35 27 62 Co + -61424.282 18.575 8721.332 0.300 B- 5322.040 18.570 61 934058.317 19.940 + 6 34 28 62 Ni -66746.323 0.439 8794.553 0.007 B- -3958.896 0.475 61 928344.871 0.470 + 4 33 29 62 Cu - -62787.426 0.647 8718.081 0.010 B- -1619.455 0.651 61 932594.921 0.694 + 2 32 30 62 Zn -61167.972 0.625 8679.343 0.010 B- -9181.066 0.376 61 934333.477 0.670 + 0 31 31 62 Ga -51986.906 0.647 8518.642 0.010 B- -10247# 140# 61 944189.757 0.694 + -2 30 32 62 Ge x -41740# 140# 8341# 2# B- -17420# 331# 61 955190# 150# + -4 29 33 62 As x -24320# 300# 8047# 5# B- * 61 973891# 322# +0 19 41 22 63 Ti x -5750# 500# 7889# 8# B- 16140# 640# 62 993827# 537# + 17 40 23 63 V x -21890# 400# 8133# 6# B- 14117# 537# 62 976500# 429# + 15 39 24 63 Cr x -36007.474 358.073 8344.828 5.684 B- 10879.579 358.092 62 961344.384 384.407 + 13 38 25 63 Mn x -46887.053 3.726 8505.101 0.059 B- 8748.568 5.692 62 949664.675 4.000 + 11 37 26 63 Fe -55635.621 4.302 8631.549 0.068 B- 6215.819 19.067 62 940272.700 4.618 + 9 36 27 63 Co -61851.440 18.575 8717.795 0.295 B- 3661.335 18.570 62 933599.744 19.941 + 7 35 28 63 Ni -65512.775 0.440 8763.493 0.007 B- 66.977 0.015 62 929669.139 0.472 + 5 34 29 63 Cu -65579.752 0.440 8752.138 0.007 B- -3366.355 1.546 62 929597.236 0.472 + 3 33 30 63 Zn -62213.397 1.561 8686.285 0.025 B- -5666.304 2.034 62 933211.167 1.676 + 1 32 31 63 Ga x -56547.093 1.304 8583.926 0.021 B- -9625.877 37.283 62 939294.195 1.400 + -1 31 32 63 Ge x -46921.216 37.260 8418.716 0.591 B- -13421# 204# 62 949628.000 40.000 + -3 30 33 63 As x -33500# 200# 8193# 3# B- * 62 964036# 215# +0 20 42 22 64 Ti x -1025# 600# 7818# 9# B- 15295# 721# 63 998900# 644# + 18 41 23 64 V x -16320# 400# 8045# 6# B- 17160# 594# 63 982480# 429# + 16 40 24 64 Cr x -33479.757 439.665 8301.058 6.870 B- 9509.277 439.679 63 964058.000 472.000 + 14 39 25 64 Mn x -42989.035 3.540 8437.417 0.055 B- 11980.510 6.140 63 953849.370 3.800 + 12 38 26 64 Fe x -54969.544 5.017 8612.388 0.078 B- 4822.785 20.625 63 940987.763 5.386 + 10 37 27 64 Co + -59792.329 20.006 8675.520 0.313 B- 7306.592 20.000 63 935810.291 21.476 + 8 36 28 64 Ni -67098.921 0.475 8777.461 0.007 B- -1674.376 0.225 63 927966.341 0.510 + 6 35 29 64 Cu -65424.545 0.448 8739.075 0.007 B- 579.469 0.650 63 929763.857 0.481 + 4 34 30 64 Zn -66004.014 0.647 8735.905 0.010 B- -7171.194 1.483 63 929141.772 0.694 + 2 33 31 64 Ga -58832.821 1.429 8611.631 0.022 B- -4517.325 3.991 63 936840.365 1.533 + 0 32 32 64 Ge x -54315.496 3.726 8528.823 0.058 B- -14783# 203# 63 941689.913 4.000 + -2 31 33 64 As -p -39532# 203# 8286# 3# B- -12832# 543# 63 957560# 218# + -4 30 34 64 Se x -26700# 503# 8073# 8# B- * 63 971336# 540# +0 19 42 23 65 V x -11780# 500# 7976# 8# B- 16440# 583# 64 987354# 537# + 17 41 24 65 Cr x -28220# 300# 8217# 5# B- 12748# 300# 64 969705# 322# + 15 40 25 65 Mn x -40967.339 3.726 8400.681 0.057 B- 10250.557 6.326 64 956019.750 4.000 + 13 39 26 65 Fe x -51217.895 5.112 8546.346 0.079 B- 7967.303 5.520 64 945015.324 5.487 + 11 38 27 65 Co x -59185.198 2.083 8656.884 0.032 B- 5940.487 2.141 64 936462.073 2.235 + 9 37 28 65 Ni -n -65125.685 0.495 8736.240 0.008 B- 2137.975 0.706 64 930084.697 0.531 + 7 36 29 65 Cu -67263.660 0.650 8757.096 0.010 B- -1351.640 0.360 64 927789.487 0.697 + 5 35 30 65 Zn -65912.019 0.650 8724.265 0.010 B- -3254.513 0.662 64 929240.532 0.697 + 3 34 31 65 Ga -62657.507 0.815 8662.160 0.013 B- -6179.291 2.313 64 932734.395 0.874 + 1 33 32 65 Ge -56478.216 2.165 8555.058 0.033 B- -9541.165 84.794 64 939368.137 2.323 + -1 32 33 65 As x -46937.051 84.766 8396.234 1.304 B- -13917# 312# 64 949611.000 91.000 + -3 31 34 65 Se x -33020# 300# 8170# 5# B- * 64 964552# 322# +0 20 43 23 66 V x -5610# 500# 7884# 8# B- 19110# 640# 65 993977# 537# + 18 42 24 66 Cr x -24720# 400# 8161# 6# B- 12030# 400# 65 973462# 429# + 16 41 25 66 Mn x -36750.387 11.178 8331.798 0.169 B- 13317.452 11.906 65 960546.834 12.000 + 14 40 26 66 Fe x -50067.839 4.099 8521.724 0.062 B- 6340.694 14.561 65 946249.960 4.400 + 12 39 27 66 Co x -56408.533 13.972 8605.941 0.212 B- 9597.752 14.042 65 939442.945 15.000 + 10 38 28 66 Ni x -66006.285 1.397 8739.508 0.021 B- 251.987 1.543 65 929139.334 1.500 + 8 37 29 66 Cu -66258.272 0.655 8731.472 0.010 B- 2640.888 0.931 65 928868.814 0.703 + 6 36 30 66 Zn -68899.160 0.749 8759.632 0.011 B- -5175.500 0.800 65 926033.704 0.804 + 4 35 31 66 Ga - -63723.660 1.096 8669.361 0.017 B- -2116.628 2.639 65 931589.832 1.176 + 2 34 32 66 Ge x -61607.032 2.401 8625.437 0.036 B- -9581.955 6.168 65 933862.126 2.577 + 0 33 33 66 As x -52025.077 5.682 8468.403 0.086 B- -10365# 200# 65 944148.779 6.100 + -2 32 34 66 Se x -41660# 200# 8300# 3# B- * 65 955276# 215# +0 21 44 23 67 V x -650# 600# 7812# 9# B- 18030# 721# 66 999302# 644# + 19 43 24 67 Cr x -18680# 400# 8070# 6# B- 14780# 500# 66 979946# 429# + 17 42 25 67 Mn x -33460# 300# 8279# 4# B- 12150# 404# 66 964079# 322# + 15 41 26 67 Fe x -45610.155 270.285 8448.469 4.034 B- 9711.620 270.362 66 951035.482 290.163 + 13 40 27 67 Co x -55321.775 6.443 8581.741 0.096 B- 8420.905 7.061 66 940609.628 6.917 + 11 39 28 67 Ni x -63742.680 2.888 8695.750 0.043 B- 3576.832 3.023 66 931569.414 3.100 + 9 38 29 67 Cu -67319.513 0.894 8737.458 0.013 B- 560.800 0.830 66 927729.526 0.959 + 7 37 30 67 Zn -67880.313 0.760 8734.152 0.011 B- -1001.265 1.122 66 927127.482 0.815 + 5 36 31 67 Ga -66879.048 1.181 8707.531 0.018 B- -4220.819 4.799 66 928202.384 1.268 + 3 35 32 67 Ge -n2p -62658.230 4.661 8632.857 0.070 B- -6071.005 4.682 66 932733.620 5.003 + 1 34 33 67 As -56587.225 0.443 8530.568 0.007 B- -10006.936 67.069 66 939251.111 0.475 + -1 33 34 67 Se x -46580.289 67.068 8369.534 1.001 B- -13790# 405# 66 949994.000 72.000 + -3 32 35 67 Br x -32790# 400# 8152# 6# B- * 66 964798# 429# +0 20 44 24 68 Cr x -14800# 500# 8013# 7# B- 13580# 640# 67 984112# 537# + 18 43 25 68 Mn x -28380# 400# 8201# 6# B- 15107# 541# 67 969533# 429# + 16 42 26 68 Fe x -43486.914 365.259 8411.698 5.371 B- 8443.751 411.489 67 953314.875 392.121 + 14 41 27 68 Co x -51930.665 189.497 8524.366 2.787 B- 11533.150 189.520 67 944250.135 203.433 + 12 40 28 68 Ni x -63463.814 2.981 8682.466 0.044 B- 2103.220 3.375 67 931868.789 3.200 + 10 39 29 68 Cu x -65567.035 1.584 8701.890 0.023 B- 4440.057 1.767 67 929610.889 1.700 + 8 38 30 68 Zn -70007.092 0.784 8755.680 0.012 B- -2921.100 1.200 67 924844.291 0.841 + 6 37 31 68 Ga - -67085.992 1.433 8701.218 0.021 B- -107.203 2.361 67 927980.221 1.538 + 4 36 32 68 Ge x -66978.789 1.876 8688.136 0.028 B- -8084.270 2.632 67 928095.308 2.014 + 2 35 33 68 As -58894.519 1.846 8557.745 0.027 B- -4705.078 1.911 67 936774.130 1.981 + 0 34 34 68 Se x -54189.441 0.496 8477.047 0.007 B- -15398# 259# 67 941825.239 0.532 + -2 33 35 68 Br -p -38791# 259# 8239# 4# B- * 67 958356# 278# +0 21 45 24 69 Cr x -8580# 500# 7924# 7# B- 16190# 640# 68 990789# 537# + 19 44 25 69 Mn x -24770# 400# 8147# 6# B- 14259# 565# 68 973408# 429# + 17 43 26 69 Fe x -39030# 400# 8342# 6# B- 11250# 424# 68 958100# 429# + 15 42 27 69 Co x -50279.157 140.506 8493.865 2.036 B- 9699.492 140.556 68 946023.102 150.839 + 13 41 28 69 Ni x -59978.648 3.726 8623.099 0.054 B- 5757.564 3.979 68 935610.268 4.000 + 11 40 29 69 Cu x -65736.213 1.397 8695.204 0.020 B- 2681.632 1.610 68 929429.268 1.500 + 9 39 30 69 Zn -n -68417.845 0.800 8722.729 0.012 B- 909.964 1.426 68 926550.418 0.858 + 7 38 31 69 Ga -69327.809 1.197 8724.579 0.017 B- -2227.146 0.550 68 925573.531 1.285 + 5 37 32 69 Ge -67100.663 1.318 8680.963 0.019 B- -3988.492 31.982 68 927964.471 1.414 + 3 36 33 69 As -63112.171 31.999 8611.821 0.464 B- -6677.465 32.021 68 932246.294 34.352 + 1 35 34 69 Se -56434.706 1.490 8503.707 0.022 B- -10175.236 42.029 68 939414.847 1.599 + -1 34 35 69 Br -p -46259.470 42.003 8344.902 0.609 B- -13825# 403# 68 950338.413 45.092 + -3 33 36 69 Kr x -32435# 401# 8133# 6# B- * 68 965180# 430# +0 22 46 24 70 Cr x -4480# 600# 7867# 9# B- 15020# 781# 69 995191# 644# + 20 45 25 70 Mn x -19500# 500# 8070# 7# B- 17010# 640# 69 979066# 537# + 18 44 26 70 Fe x -36510# 400# 8302# 6# B- 10120# 500# 69 960805# 429# + 16 43 27 70 Co x -46630# 300# 8436# 4# B- 12584# 300# 69 949941# 322# + 14 42 28 70 Ni x -59213.860 2.144 8604.291 0.031 B- 3762.513 2.401 69 936431.303 2.301 + 12 41 29 70 Cu x -62976.373 1.082 8646.865 0.015 B- 6588.362 2.202 69 932392.079 1.161 + 10 40 30 70 Zn -69564.735 1.918 8729.808 0.027 B- -654.595 1.574 69 925319.181 2.058 + 8 39 31 70 Ga -68910.140 1.201 8709.280 0.017 B- 1651.736 1.462 69 926021.917 1.289 + 6 38 32 70 Ge -70561.876 0.838 8721.700 0.012 B- -6220.000 50.000 69 924248.706 0.900 + 4 37 33 70 As - -64341.876 50.007 8621.666 0.714 B- -2411.985 50.032 69 930926.151 53.684 + 2 36 34 70 Se x -61929.891 1.584 8576.033 0.023 B- -10504.272 14.988 69 933515.523 1.700 + 0 35 35 70 Br x -51425.619 14.904 8414.796 0.213 B- -10325# 201# 69 944792.323 16.000 + -2 34 36 70 Kr x -41100# 200# 8256# 3# B- * 69 955877# 215# +0 21 46 25 71 Mn x -15570# 500# 8015# 7# B- 15860# 640# 70 983285# 537# + 19 45 26 71 Fe x -31430# 400# 8227# 6# B- 12940# 613# 70 966259# 429# + 17 44 27 71 Co x -44369.926 465.030 8398.734 6.550 B- 11036.302 465.035 70 952366.923 499.230 + 15 43 28 71 Ni x -55406.228 2.237 8543.156 0.032 B- 7304.899 2.688 70 940518.964 2.401 + 13 42 29 71 Cu x -62711.127 1.490 8635.022 0.021 B- 4617.651 3.044 70 932676.832 1.600 + 11 41 30 71 Zn -67328.777 2.654 8689.041 0.037 B- 2810.358 2.775 70 927719.580 2.849 + 9 40 31 71 Ga -70139.135 0.812 8717.604 0.011 B- -232.638 0.223 70 924702.536 0.871 + 7 39 32 71 Ge -69906.497 0.834 8703.309 0.012 B- -2013.400 4.082 70 924952.284 0.894 + 5 38 33 71 As - -67893.097 4.167 8663.932 0.059 B- -4746.590 5.017 70 927113.758 4.473 + 3 37 34 71 Se x -63146.507 2.794 8586.060 0.039 B- -6644.089 6.082 70 932209.432 3.000 + 1 36 35 71 Br -56502.418 5.402 8481.462 0.076 B- -10175.212 128.845 70 939342.156 5.799 + -1 35 36 71 Kr -46327.205 128.769 8327.130 1.814 B- -14267# 420# 70 950265.696 138.238 + -3 34 37 71 Rb x -32060# 400# 8115# 6# B- * 70 965582# 429# +0 22 47 25 72 Mn x -9900# 600# 7937# 8# B- 18530# 781# 71 989372# 644# + 20 46 26 72 Fe x -28430# 500# 8184# 7# B- 11769# 640# 71 969479# 537# + 18 45 27 72 Co x -40200# 400# 8336# 6# B- 14027# 400# 71 956844# 429# + 16 44 28 72 Ni x -54226.060 2.237 8520.211 0.031 B- 5556.938 2.637 71 941785.926 2.401 + 14 43 29 72 Cu x -59782.999 1.397 8586.525 0.019 B- 8362.487 2.558 71 935820.307 1.500 + 12 42 30 72 Zn x -68145.486 2.142 8691.805 0.030 B- 442.807 2.294 71 926842.807 2.300 + 10 41 31 72 Ga -68588.293 0.819 8687.089 0.011 B- 3997.607 0.822 71 926367.434 0.878 + 8 40 32 72 Ge -72585.900 0.076 8731.745 0.001 B- -4356.102 4.082 71 922075.826 0.081 + 6 39 33 72 As - -68229.798 4.083 8660.378 0.057 B- -361.618 4.528 71 926752.295 4.383 + 4 38 34 72 Se x -67868.180 1.956 8644.489 0.027 B- -8806.437 2.208 71 927140.507 2.100 + 2 37 35 72 Br x -59061.743 1.025 8511.312 0.014 B- -5121.168 8.076 71 936594.607 1.100 + 0 36 36 72 Kr x -53940.575 8.011 8429.319 0.111 B- -15611# 500# 71 942092.407 8.600 + -2 35 37 72 Rb x -38330# 500# 8202# 7# B- * 71 958851# 537# +0 21 47 26 73 Fe x -22900# 500# 8106# 7# B- 14518# 640# 72 975416# 537# + 19 46 27 73 Co x -37418# 400# 8295# 5# B- 12690# 400# 72 959830# 429# + 17 45 28 73 Ni x -50108.152 2.423 8457.652 0.033 B- 8879.285 3.104 72 946206.683 2.601 + 15 44 29 73 Cu -58987.437 1.942 8568.569 0.027 B- 6605.966 2.691 72 936674.378 2.084 + 13 43 30 73 Zn x -65593.402 1.863 8648.345 0.026 B- 4105.932 2.506 72 929582.582 2.000 + 11 42 31 73 Ga x -69699.335 1.677 8693.873 0.023 B- 1598.188 1.678 72 925174.682 1.800 + 9 41 32 73 Ge -71297.523 0.057 8705.049 0.001 B- -344.776 3.853 72 923458.956 0.061 + 7 40 33 73 As -70952.747 3.853 8689.609 0.053 B- -2725.360 7.399 72 923829.089 4.136 + 5 39 34 73 Se -68227.387 7.424 8641.558 0.102 B- -4579.912 10.388 72 926754.883 7.969 + 3 38 35 73 Br x -63647.475 7.266 8568.103 0.100 B- -7095.725 9.801 72 931671.621 7.800 + 1 37 36 73 Kr x -56551.751 6.578 8460.184 0.090 B- -10470# 200# 72 939289.195 7.061 + -1 36 37 73 Rb -p -46082# 200# 8306# 3# B- -14131# 448# 72 950529# 215# + -3 35 38 73 Sr x -31950# 401# 8102# 5# B- * 72 965700# 430# +0 22 48 26 74 Fe x -19590# 600# 8061# 8# B- 13230# 781# 73 978969# 644# + 20 47 27 74 Co x -32820# 500# 8229# 7# B- 15636# 537# 73 964766# 537# + 18 46 28 74 Ni x -48456# 196# 8430# 3# B- 7550# 196# 73 947980# 210# + 16 45 29 74 Cu x -56006.205 6.148 8521.562 0.083 B- 9750.507 6.642 73 939874.862 6.600 + 14 44 30 74 Zn x -65756.712 2.515 8642.754 0.034 B- 2292.905 3.910 73 929407.262 2.700 + 12 43 31 74 Ga x -68049.617 2.994 8663.167 0.040 B- 5372.824 2.994 73 926945.726 3.214 + 10 42 32 74 Ge -73422.442 0.013 8725.200 0.000 B- -2562.387 1.693 73 921177.762 0.013 + 8 41 33 74 As -70860.054 1.693 8680.001 0.023 B- 1353.147 1.693 73 923928.598 1.817 + 6 40 34 74 Se -72213.201 0.015 8687.715 0.000 B- -6925.049 5.835 73 922475.935 0.015 + 4 39 35 74 Br -65288.153 5.835 8583.561 0.079 B- -2956.317 6.173 73 929910.281 6.264 + 2 38 36 74 Kr -62331.836 2.013 8533.038 0.027 B- -10415.827 3.424 73 933084.017 2.161 + 0 37 37 74 Rb -51916.009 3.027 8381.712 0.041 B- -11089# 100# 73 944265.868 3.249 + -2 36 38 74 Sr x -40827# 100# 8221# 1# B- * 73 956170# 107# +0 23 49 26 75 Fe x -13640# 600# 7982# 8# B- 16010# 781# 74 985357# 644# + 21 48 27 75 Co x -29649# 500# 8185# 7# B- 14380# 583# 74 968170# 537# + 19 47 28 75 Ni x -44030# 300# 8366# 4# B- 10441# 300# 74 952732# 322# + 17 46 29 75 Cu x -54471.341 2.330 8495.094 0.031 B- 8087.567 3.042 74 941522.606 2.501 + 15 45 30 75 Zn x -62558.908 1.956 8592.497 0.026 B- 5905.672 3.113 74 932840.246 2.100 + 13 44 31 75 Ga x -68464.580 2.422 8660.808 0.032 B- 3392.384 2.422 74 926500.246 2.600 + 11 43 32 75 Ge -n -71856.965 0.052 8695.609 0.001 B- 1177.231 0.885 74 922858.371 0.055 + 9 42 33 75 As -73034.195 0.884 8700.874 0.012 B- -864.714 0.882 74 921594.562 0.948 + 7 41 34 75 Se -72169.481 0.073 8678.913 0.001 B- -3062.472 4.285 74 922522.871 0.078 + 5 40 35 75 Br x -69107.009 4.285 8627.649 0.057 B- -4783.385 9.167 74 925810.570 4.600 + 3 39 36 75 Kr x -64323.624 8.104 8553.439 0.108 B- -7104.929 8.189 74 930945.746 8.700 + 1 38 37 75 Rb x -57218.694 1.180 8448.275 0.016 B- -10600.000 220.000 74 938573.201 1.266 + -1 37 38 75 Sr - -46618.694 220.003 8296.511 2.933 B- -14799# 372# 74 949952.770 236.183 + -3 36 39 75 Y x -31820# 300# 8089# 4# B- * 74 965840# 322# +0 22 49 27 76 Co x -24510# 600# 8116# 8# B- 17120# 721# 75 973687# 644# + 20 48 28 76 Ni x -41630# 400# 8331# 5# B- 9346# 400# 75 955308# 429# + 18 47 29 76 Cu x -50975.985 6.707 8443.527 0.088 B- 11327.031 6.863 75 945275.025 7.200 + 16 46 30 76 Zn -62303.016 1.456 8582.273 0.019 B- 3993.624 2.438 75 933114.957 1.562 + 14 45 31 76 Ga x -66296.640 1.956 8624.526 0.026 B- 6916.249 1.956 75 928827.625 2.100 + 12 44 32 76 Ge -73212.889 0.018 8705.236 0.000 B- -921.512 0.886 75 921402.726 0.019 + 10 43 33 76 As -n -72291.377 0.886 8682.816 0.012 B- 2960.573 0.886 75 922392.010 0.951 + 8 42 34 76 Se -75251.950 0.016 8711.477 0.000 B- -4962.881 9.322 75 919213.704 0.017 + 6 41 35 76 Br - -70289.068 9.322 8635.882 0.123 B- -1275.355 10.149 75 924541.577 10.007 + 4 40 36 76 Kr -69013.714 4.013 8608.807 0.053 B- -8534.633 4.121 75 925910.726 4.308 + 2 39 37 76 Rb x -60479.081 0.938 8486.215 0.012 B- -6231.442 34.478 75 935073.032 1.006 + 0 38 38 76 Sr x -54247.639 34.465 8393.929 0.453 B- -15768# 302# 75 941762.761 37.000 + -2 37 39 76 Y x -38480# 300# 8176# 4# B- * 75 958690# 322# +0 23 50 27 77 Co x -21015# 600# 8070# 8# B- 15785# 781# 76 977440# 644# + 21 49 28 77 Ni x -36800# 500# 8265# 6# B- 11824# 522# 76 960494# 537# + 19 48 29 77 Cu x -48624# 149# 8408# 2# B- 10165# 149# 76 947800# 160# + 17 47 30 77 Zn -58789.195 1.973 8530.003 0.026 B- 7203.149 3.124 76 936887.199 2.117 + 15 46 31 77 Ga x -65992.344 2.422 8613.390 0.031 B- 5220.518 2.422 76 929154.300 2.600 + 13 45 32 77 Ge -n -71212.862 0.053 8671.028 0.001 B- 2703.456 1.694 76 923549.844 0.056 + 11 44 33 77 As -73916.318 1.693 8695.978 0.022 B- 683.170 1.693 76 920647.564 1.817 + 9 43 34 77 Se -74599.488 0.062 8694.690 0.001 B- -1364.680 2.810 76 919914.150 0.067 + 7 42 35 77 Br - -73234.809 2.811 8666.806 0.037 B- -3065.366 3.424 76 921379.194 3.017 + 5 41 36 77 Kr x -70169.443 1.956 8616.836 0.025 B- -5338.951 2.351 76 924670.000 2.100 + 3 40 37 77 Rb x -64830.492 1.304 8537.339 0.017 B- -7027.055 8.024 76 930401.600 1.400 + 1 39 38 77 Sr x -57803.436 7.918 8435.918 0.103 B- -11365# 203# 76 937945.455 8.500 + -1 38 39 77 Y -p -46439# 203# 8278# 3# B- -14399# 448# 76 950146# 218# + -3 37 40 77 Zr x -32040# 400# 8081# 5# B- * 76 965604# 429# +0 22 50 28 78 Ni x -33890# 600# 8225# 8# B- 10608# 783# 77 963618# 644# + 20 49 29 78 Cu x -44497.469 503.007 8350.925 6.449 B- 12985.766 503.011 77 952230.000 540.000 + 18 48 30 78 Zn -57483.235 1.944 8507.379 0.025 B- 6222.716 2.719 77 938289.205 2.086 + 16 47 31 78 Ga -63705.950 1.903 8577.127 0.024 B- 8156.099 4.015 77 931608.845 2.043 + 14 46 32 78 Ge -nn -71862.050 3.536 8671.663 0.045 B- 954.890 10.400 77 922852.912 3.795 + 12 45 33 78 As +pn -72816.940 9.781 8673.875 0.125 B- 4209.004 9.782 77 921827.795 10.500 + 10 44 34 78 Se -77025.944 0.179 8717.806 0.002 B- -3573.784 3.575 77 917309.243 0.191 + 8 43 35 78 Br - -73452.160 3.580 8661.959 0.046 B- 726.116 3.584 77 921145.859 3.842 + 6 42 36 78 Kr -74178.275 0.307 8661.238 0.004 B- -7242.857 3.252 77 920366.341 0.329 + 4 41 37 78 Rb x -66935.419 3.237 8558.350 0.042 B- -3761.477 8.125 77 928141.868 3.475 + 2 40 38 78 Sr x -63173.941 7.452 8500.096 0.096 B- -11001# 298# 77 932179.980 8.000 + 0 39 39 78 Y x -52173# 298# 8349# 4# B- -11323# 499# 77 943990# 320# + -2 38 40 78 Zr x -40850# 400# 8194# 5# B- * 77 956146# 429# +0 23 51 28 79 Ni x -27570# 600# 8143# 8# B- 14170# 671# 78 970402# 644# + 21 50 29 79 Cu x -41740# 300# 8312# 4# B- 11692# 300# 78 955190# 322# + 19 49 30 79 Zn -53432.295 2.225 8450.582 0.028 B- 9115.384 2.901 78 942638.068 2.388 + 17 48 31 79 Ga -62547.679 1.868 8556.063 0.024 B- 6978.913 37.147 78 932852.301 2.005 + 15 47 32 79 Ge -69526.592 37.181 8634.501 0.471 B- 4109.457 37.456 78 925360.129 39.915 + 13 46 33 79 As -73636.049 5.328 8676.616 0.067 B- 2281.410 5.331 78 920948.445 5.719 + 11 45 34 79 Se -n -75917.459 0.223 8695.592 0.003 B- 150.576 1.038 78 918499.251 0.238 + 9 44 35 79 Br +n -76068.035 1.021 8687.594 0.013 B- -1625.778 3.333 78 918337.601 1.095 + 7 43 36 79 Kr - -74442.257 3.486 8657.112 0.044 B- -3639.271 4.092 78 920082.945 3.742 + 5 42 37 79 Rb x -70802.985 2.142 8601.142 0.027 B- -5326.096 8.653 78 923989.864 2.300 + 3 41 38 79 Sr x -65476.889 8.383 8523.820 0.106 B- -7659.056 79.620 78 929707.664 9.000 + 1 40 39 79 Y x -57817.833 79.177 8416.967 1.002 B- -11048# 310# 78 937930.000 85.000 + -1 39 40 79 Zr x -46770# 300# 8267# 4# B- -15120# 583# 78 949790# 322# + -3 38 41 79 Nb x -31650# 500# 8066# 6# B- * 78 966022# 537# +0 24 52 28 80 Ni x -22630# 700# 8080# 9# B- 13570# 806# 79 975706# 751# + 22 51 29 80 Cu x -36200# 400# 8240# 5# B- 15449# 400# 79 961138# 429# + 20 50 30 80 Zn -51648.612 2.585 8423.545 0.032 B- 7575.055 3.877 79 944552.930 2.774 + 18 49 31 80 Ga x -59223.667 2.891 8508.454 0.036 B- 10311.639 3.541 79 936420.774 3.103 + 16 48 32 80 Ge x -69535.306 2.054 8627.570 0.026 B- 2679.187 3.915 79 925350.774 2.205 + 14 47 33 80 As x -72214.493 3.333 8651.280 0.042 B- 5544.964 3.445 79 922474.548 3.577 + 12 46 34 80 Se -77759.457 0.963 8710.813 0.012 B- -1870.464 0.310 79 916521.785 1.034 + 10 45 35 80 Br - -75888.993 1.012 8677.653 0.013 B- 2004.353 1.154 79 918529.810 1.086 + 8 44 36 80 Kr -77893.346 0.691 8692.928 0.009 B- -5717.879 1.987 79 916378.048 0.742 + 6 43 37 80 Rb x -72175.467 1.863 8611.675 0.023 B- -1864.009 3.933 79 922516.444 2.000 + 4 42 38 80 Sr x -70311.459 3.464 8578.596 0.043 B- -9163.307 7.139 79 924517.540 3.718 + 2 41 39 80 Y x -61148.152 6.242 8454.275 0.078 B- -6788# 300# 79 934354.755 6.701 + 0 40 40 80 Zr x -54360# 300# 8360# 4# B- -15940# 500# 79 941642# 322# + -2 39 41 80 Nb x -38420# 400# 8151# 5# B- * 79 958754# 429# +0 23 52 29 81 Cu x -31420# 500# 8179# 6# B- 14779# 500# 80 966269# 537# + 21 51 30 81 Zn x -46199.663 5.030 8351.925 0.062 B- 11428.292 5.996 80 950402.619 5.400 + 19 50 31 81 Ga x -57627.954 3.264 8483.357 0.040 B- 8663.733 3.851 80 938133.842 3.503 + 17 49 32 81 Ge x -66291.687 2.055 8580.658 0.025 B- 6241.617 3.344 80 928832.942 2.205 + 15 48 33 81 As -72533.304 2.644 8648.056 0.033 B- 3855.684 2.812 80 922132.290 2.838 + 13 47 34 81 Se -76388.988 0.992 8685.999 0.012 B- 1588.046 1.389 80 917993.044 1.065 + 11 46 35 81 Br -77977.034 0.978 8695.946 0.012 B- -280.853 0.471 80 916288.206 1.049 + 9 45 36 81 Kr -77696.181 1.074 8682.820 0.013 B- -2239.511 5.019 80 916589.714 1.152 + 7 44 37 81 Rb -75456.670 4.904 8645.513 0.061 B- -3928.545 5.817 80 918993.927 5.264 + 5 43 38 81 Sr x -71528.125 3.128 8587.354 0.039 B- -5815.214 6.245 80 923211.394 3.358 + 3 42 39 81 Y x -65712.912 5.405 8505.902 0.067 B- -8252.773 94.236 80 929454.283 5.802 + 1 41 40 81 Zr x -57460.139 94.081 8394.358 1.161 B- -11100# 411# 80 938314.000 101.000 + -1 40 41 81 Nb x -46360# 400# 8248# 5# B- -14610# 640# 80 950230# 429# + -3 39 42 81 Mo x -31750# 500# 8058# 6# B- * 80 965915# 537# +0 24 53 29 82 Cu x -25320# 600# 8103# 7# B- 16994# 600# 81 972818# 644# + 22 52 30 82 Zn x -42313.954 3.074 8301.117 0.037 B- 10616.764 3.916 81 954574.099 3.300 + 20 51 31 82 Ga x -52930.719 2.426 8421.049 0.030 B- 12484.348 3.296 81 943176.533 2.604 + 18 50 32 82 Ge x -65415.067 2.241 8563.756 0.027 B- 4690.352 4.345 81 929774.033 2.405 + 16 49 33 82 As x -70105.419 3.729 8611.414 0.045 B- 7488.463 3.758 81 924738.733 4.003 + 14 48 34 82 Se -77593.882 0.467 8693.196 0.006 B- -95.221 1.077 81 916699.537 0.500 + 12 47 35 82 Br -77498.661 0.971 8682.494 0.012 B- 3093.124 0.971 81 916801.760 1.042 + 10 46 36 82 Kr -80591.78515 0.00549 8710.675 0.000 B- -4403.982 3.009 81 913481.15520 0.00589 + 8 45 37 82 Rb IT -76187.803 3.009 8647.427 0.037 B- -177.751 6.705 81 918209.024 3.230 + 6 44 38 82 Sr -76010.053 5.992 8635.718 0.073 B- -7945.961 8.132 81 918399.847 6.432 + 4 43 39 82 Y x -68064.091 5.499 8529.275 0.067 B- -4432.804 12.457 81 926930.188 5.902 + 2 42 40 82 Zr x -63631.287 11.178 8465.676 0.136 B- -11541# 300# 81 931689.000 12.000 + 0 41 41 82 Nb x -52090# 300# 8315# 4# B- -11720# 500# 81 944079# 322# + -2 40 42 82 Mo x -40370# 400# 8163# 5# B- * 81 956661# 429# +0 23 53 30 83 Zn x -36290# 300# 8226# 4# B- 12967# 300# 82 961041# 322# + 21 52 31 83 Ga x -49257.122 2.613 8372.575 0.031 B- 11719.312 3.559 82 947120.301 2.804 + 19 51 32 83 Ge x -60976.435 2.427 8504.345 0.029 B- 8692.888 3.698 82 934539.101 2.605 + 17 50 33 83 As x -69669.323 2.799 8599.653 0.034 B- 5671.207 4.129 82 925206.901 3.004 + 15 49 34 83 Se -n -75340.530 3.036 8658.555 0.037 B- 3673.179 4.839 82 919118.609 3.259 + 13 48 35 83 Br -79013.709 3.795 8693.384 0.046 B- 976.924 3.795 82 915175.289 4.073 + 11 47 36 83 Kr -79990.633 0.009 8695.729 0.000 B- -920.004 2.329 82 914126.518 0.009 + 9 46 37 83 Rb -79070.630 2.329 8675.218 0.028 B- -2273.024 6.424 82 915114.182 2.500 + 7 45 38 83 Sr -76797.606 6.834 8638.407 0.082 B- -4591.941 19.844 82 917554.374 7.336 + 5 44 39 83 Y x -72205.665 18.631 8573.656 0.224 B- -6294.012 19.707 82 922484.025 20.000 + 3 43 40 83 Zr x -65911.654 6.430 8488.399 0.077 B- -8355.571 151.039 82 929240.925 6.902 + 1 42 41 83 Nb x -57556.083 150.902 8378.304 1.818 B- -11216# 428# 82 938211.000 162.000 + -1 41 42 83 Mo x -46340# 401# 8234# 5# B- -15020# 641# 82 950252# 430# + -3 40 43 83 Tc x -31320# 500# 8043# 6# B- * 82 966377# 537# +0 24 54 30 84 Zn x -31930# 400# 8172# 5# B- 12158# 447# 83 965722# 429# + 22 53 31 84 Ga x -44088# 200# 8307# 2# B- 14061# 200# 83 952670# 215# + 20 52 32 84 Ge x -58148.428 3.171 8465.524 0.038 B- 7705.132 4.479 83 937575.091 3.403 + 18 51 33 84 As x -65853.560 3.171 8547.938 0.038 B- 10094.161 3.722 83 929303.291 3.403 + 16 50 34 84 Se -75947.721 1.961 8658.793 0.023 B- 1835.363 25.765 83 918466.762 2.105 + 14 49 35 84 Br -77783.084 25.730 8671.329 0.306 B- 4656.251 25.730 83 916496.419 27.622 + 12 48 36 84 Kr -82439.33510 0.00379 8717.446 0.000 B- -2680.371 2.194 83 911497.72863 0.00407 + 10 47 37 84 Rb -79758.964 2.194 8676.224 0.026 B- 890.606 2.336 83 914375.225 2.355 + 8 46 38 84 Sr -80649.570 1.243 8677.512 0.015 B- -6755.139 4.411 83 913419.120 1.334 + 6 45 39 84 Y -73894.431 4.299 8587.780 0.051 B- -2472.745 6.977 83 920671.061 4.615 + 4 44 40 84 Zr x -71421.686 5.499 8549.029 0.065 B- -10202.968 14.153 83 923325.662 5.903 + 2 43 41 84 Nb x -61218.717 13.041 8418.252 0.155 B- -7049# 298# 83 934279.000 14.000 + 0 42 42 84 Mo x -54170# 298# 8325# 4# B- -16470# 499# 83 941846# 320# + -2 41 43 84 Tc x -37700# 400# 8120# 5# B- * 83 959527# 429# +0 25 55 30 85 Zn x -25230# 500# 8092# 6# B- 14619# 582# 84 972914# 537# + 23 54 31 85 Ga x -39849# 298# 8255# 4# B- 13274# 298# 84 957220# 320# + 21 53 32 85 Ge x -53123.420 3.729 8401.768 0.044 B- 10065.724 4.830 84 942969.659 4.003 + 19 52 33 85 As x -63189.144 3.078 8510.984 0.036 B- 9224.492 4.031 84 932163.659 3.304 + 17 51 34 85 Se +3p -72413.636 2.613 8610.304 0.031 B- 6161.833 4.031 84 922260.759 2.804 + 15 50 35 85 Br +n2p -78575.469 3.078 8673.592 0.036 B- 2904.861 3.671 84 915645.759 3.304 + 13 49 36 85 Kr + -81480.331 2.000 8698.562 0.024 B- 687.000 2.000 84 912527.262 2.147 + 11 48 37 85 Rb -82167.33050 0.00498 8697.441 0.000 B- -1064.051 2.813 84 911789.73760 0.00534 + 9 47 38 85 Sr -81103.280 2.813 8675.718 0.033 B- -3261.157 19.173 84 912932.043 3.020 + 7 46 39 85 Y x -77842.123 18.965 8628.148 0.223 B- -4666.934 20.026 84 916433.039 20.360 + 5 45 40 85 Zr x -73175.189 6.430 8564.039 0.076 B- -6895.514 7.625 84 921443.198 6.902 + 3 44 41 85 Nb x -66279.676 4.099 8473.711 0.048 B- -8769.923 16.357 84 928845.837 4.400 + 1 43 42 85 Mo x -57509.753 15.835 8361.331 0.186 B- -11660# 400# 84 938260.737 17.000 + -1 42 43 85 Tc x -45850# 400# 8215# 5# B- -14900# 640# 84 950778# 429# + -3 41 44 85 Ru x -30950# 500# 8030# 6# B- * 84 966774# 537# +0 24 55 31 86 Ga x -34080# 400# 8186# 5# B- 15320# 593# 85 963414# 429# + 22 54 32 86 Ge x -49399.922 437.802 8354.629 5.091 B- 9562.221 437.816 85 946967.000 470.000 + 20 53 33 86 As x -58962.142 3.450 8456.721 0.040 B- 11541.024 4.267 85 936701.533 3.703 + 18 52 34 86 Se x -70503.167 2.520 8581.822 0.029 B- 5129.085 3.972 85 924311.733 2.705 + 16 51 35 86 Br +pp -75632.252 3.078 8632.365 0.036 B- 7633.414 3.078 85 918805.433 3.304 + 14 50 36 86 Kr -83265.66564 0.00369 8712.029 0.000 B- -518.672 0.200 85 910610.62627 0.00396 + 12 49 37 86 Rb -n -82746.993 0.200 8696.901 0.002 B- 1776.096 0.200 85 911167.443 0.214 + 10 48 38 86 Sr -84523.08935 0.00522 8708.456 0.000 B- -5240.000 14.142 85 909260.72631 0.00561 + 8 47 39 86 Y - -79283.089 14.142 8638.428 0.164 B- -1314.075 14.585 85 914886.098 15.182 + 6 46 40 86 Zr -77969.014 3.566 8614.051 0.041 B- -8834.960 6.552 85 916296.815 3.827 + 4 45 41 86 Nb x -69134.054 5.499 8502.222 0.064 B- -5023.810 6.642 85 925781.535 5.903 + 2 44 42 86 Mo x -64110.245 3.726 8434.709 0.043 B- -12540# 300# 85 931174.817 4.000 + 0 43 43 86 Tc x -51570# 300# 8280# 3# B- -11800# 500# 85 944637# 322# + -2 42 44 86 Ru x -39770# 400# 8133# 5# B- * 85 957305# 429# +0 25 56 31 87 Ga x -29250# 500# 8129# 6# B- 14828# 583# 86 968599# 537# + 23 55 32 87 Ge x -44078# 300# 8290# 3# B- 11540# 300# 86 952680# 322# + 21 54 33 87 As x -55617.907 2.985 8413.851 0.034 B- 10808.218 3.726 86 940291.718 3.204 + 19 53 34 87 Se x -66426.125 2.241 8529.091 0.026 B- 7465.552 3.877 86 928688.618 2.405 + 17 52 35 87 Br 2p-n -73891.676 3.171 8605.910 0.036 B- 6817.845 3.181 86 920674.018 3.404 + 15 51 36 87 Kr -n -80709.522 0.246 8675.283 0.003 B- 3888.269 0.246 86 913354.759 0.264 + 13 50 37 87 Rb -84597.791 0.006 8710.983 0.000 B- 282.275 0.006 86 909180.531 0.006 + 11 49 38 87 Sr -84880.06595 0.00510 8705.236 0.000 B- -1861.690 1.128 86 908877.49615 0.00548 + 9 48 39 87 Y - -83018.376 1.128 8674.844 0.013 B- -3671.239 4.296 86 910876.102 1.210 + 7 47 40 87 Zr -79347.137 4.146 8623.654 0.048 B- -5472.651 7.963 86 914817.339 4.450 + 5 46 41 87 Nb x -73874.486 6.802 8551.757 0.078 B- -6989.678 7.378 86 920692.472 7.302 + 3 45 42 87 Mo -66884.808 2.857 8462.424 0.033 B- -9194.764 5.073 86 928196.201 3.067 + 1 44 43 87 Tc x -57690.044 4.192 8347.744 0.048 B- -12170# 400# 86 938067.187 4.500 + -1 43 44 87 Ru x -45520# 400# 8199# 5# B- * 86 951132# 429# +0 24 56 32 88 Ge x -40138# 400# 8243# 5# B- 10582# 445# 87 956910# 429# + 22 55 33 88 As x -50720# 196# 8354# 2# B- 13164# 196# 87 945550# 210# + 20 54 34 88 Se x -63884.195 3.357 8495.004 0.038 B- 6831.763 4.613 87 931417.491 3.604 + 18 53 35 88 Br ++ -70715.959 3.171 8563.747 0.036 B- 8975.327 4.106 87 924083.291 3.404 + 16 52 36 88 Kr x -79691.286 2.608 8656.849 0.030 B- 2917.709 2.613 87 914447.881 2.800 + 14 51 37 88 Rb -82608.995 0.159 8681.115 0.002 B- 5312.623 0.159 87 911315.591 0.171 + 12 50 38 88 Sr -87921.61793 0.00558 8732.595 0.000 B- -3622.600 1.500 87 905612.25561 0.00599 + 10 49 39 88 Y - -84299.018 1.500 8682.539 0.017 B- -670.147 5.608 87 909501.276 1.610 + 8 48 40 88 Zr -83628.871 5.403 8666.033 0.061 B- -7455.284 58.886 87 910220.709 5.800 + 6 47 41 88 Nb -76173.586 58.810 8572.424 0.668 B- -3487.042 58.933 87 918224.287 63.134 + 4 46 42 88 Mo x -72686.544 3.819 8523.908 0.043 B- -11005.229 149.088 87 921967.781 4.100 + 2 45 43 88 Tc x -61681.315 149.039 8389.958 1.694 B- -7342# 335# 87 933782.381 160.000 + 0 44 44 88 Ru x -54340# 300# 8298# 3# B- -17479# 500# 87 941664# 322# + -2 43 45 88 Rh x -36860# 400# 8090# 5# B- * 87 960429# 429# +0 25 57 32 89 Ge x -33729# 400# 8169# 4# B- 13069# 499# 88 963790# 429# + 23 56 33 89 As x -46798# 298# 8307# 3# B- 12194# 298# 88 949760# 320# + 21 55 34 89 Se x -58992.391 3.729 8435.279 0.042 B- 9281.872 4.951 88 936669.059 4.003 + 19 54 35 89 Br x -68274.263 3.264 8530.779 0.037 B- 8261.522 3.904 88 926704.559 3.504 + 17 53 36 89 Kr x -76535.785 2.142 8614.815 0.024 B- 5176.604 5.834 88 917835.450 2.300 + 15 52 37 89 Rb -81712.388 5.427 8664.189 0.061 B- 4496.628 5.427 88 912278.137 5.825 + 13 51 38 89 Sr -86209.017 0.092 8705.922 0.001 B- 1499.336 1.615 88 907450.808 0.098 + 11 50 39 89 Y -87708.352 1.612 8713.978 0.018 B- -2832.792 2.776 88 905841.205 1.730 + 9 49 40 89 Zr -84875.561 3.083 8673.359 0.035 B- -4250.351 23.743 88 908882.332 3.310 + 7 48 41 89 Nb -80625.209 23.631 8616.812 0.266 B- -5610.275 23.953 88 913445.272 25.369 + 5 47 42 89 Mo x -75014.935 3.912 8544.984 0.044 B- -7620.087 5.467 88 919468.150 4.200 + 3 46 43 89 Tc x -67394.848 3.819 8450.575 0.043 B- -9135# 298# 88 927648.650 4.100 + 1 45 44 89 Ru x -58260# 298# 8339# 3# B- -12400# 468# 88 937455# 320# + -1 44 45 89 Rh -p -45861# 361# 8191# 4# B- * 88 950767# 387# +0 26 58 32 90 Ge x -29221# 500# 8118# 6# B- 12109# 640# 89 968630# 537# + 24 57 33 90 As x -41330# 400# 8244# 4# B- 14470# 518# 89 955630# 429# + 22 56 34 90 Se x -55800.217 329.749 8395.766 3.664 B- 8200.081 329.766 89 940096.000 354.000 + 20 55 35 90 Br x -64000.298 3.357 8478.186 0.037 B- 10958.952 3.840 89 931292.850 3.604 + 18 54 36 90 Kr x -74959.250 1.863 8591.259 0.021 B- 4405.154 6.746 89 919527.930 2.000 + 16 53 37 90 Rb -79364.404 6.484 8631.512 0.072 B- 6583.723 6.544 89 914798.803 6.960 + 14 52 38 90 Sr -85948.127 2.124 8695.972 0.024 B- 545.934 1.406 89 907730.885 2.280 + 12 51 39 90 Y -86494.062 1.611 8693.345 0.018 B- 2278.474 1.609 89 907144.800 1.729 + 10 50 40 90 Zr -88772.535 0.118 8709.969 0.001 B- -6111.016 3.316 89 904698.758 0.126 + 8 49 41 90 Nb -82661.519 3.317 8633.376 0.037 B- -2489.016 3.316 89 911259.204 3.561 + 6 48 42 90 Mo -80172.503 3.463 8597.028 0.038 B- -9447.816 3.611 89 913931.272 3.717 + 4 47 43 90 Tc x -70724.687 1.025 8483.359 0.011 B- -5840.895 3.869 89 924073.921 1.100 + 2 46 44 90 Ru -64883.792 3.730 8409.768 0.041 B- -13184# 300# 89 930344.379 4.004 + 0 45 45 90 Rh x -51700# 300# 8255# 3# B- -11990# 500# 89 944498# 322# + -2 44 46 90 Pd x -39710# 400# 8113# 4# B- * 89 957370# 429# +0 25 58 33 91 As x -36896# 400# 8193# 4# B- 13684# 589# 90 960390# 429# + 23 57 34 91 Se x -50580.124 433.145 8334.837 4.760 B- 10527.169 433.159 90 945700.000 465.000 + 21 56 35 91 Br -n2p -61107.294 3.544 8441.923 0.039 B- 9866.671 4.190 90 934398.618 3.804 + 19 55 36 91 Kr x -70973.965 2.236 8541.751 0.025 B- 6771.072 8.115 90 923806.310 2.400 + 17 54 37 91 Rb -77745.037 7.801 8607.561 0.086 B- 5906.890 8.873 90 916537.265 8.375 + 15 53 38 91 Sr -83651.927 5.453 8663.875 0.060 B- 2699.369 5.247 90 910195.958 5.853 + 13 52 39 91 Y -86351.295 1.843 8684.941 0.020 B- 1544.271 1.840 90 907298.066 1.978 + 11 51 40 91 Zr -87895.566 0.105 8693.314 0.001 B- -1257.565 2.924 90 905640.223 0.112 + 9 50 41 91 Nb -86638.001 2.926 8670.897 0.032 B- -4429.180 6.744 90 906990.274 3.141 + 7 49 42 91 Mo -82208.821 6.238 8613.628 0.069 B- -6222.175 6.671 90 911745.195 6.696 + 5 48 43 91 Tc -75986.646 2.363 8536.655 0.026 B- -7746.824 3.242 90 918424.975 2.536 + 3 47 44 91 Ru -68239.823 2.221 8442.928 0.024 B- -9670# 298# 90 926741.532 2.384 + 1 46 45 91 Rh x -58570# 298# 8328# 3# B- -12639# 499# 90 937123# 320# + -1 45 46 91 Pd x -45930# 401# 8181# 4# B- * 90 950692# 430# +0 26 59 33 92 As x -30981# 500# 8127# 5# B- 15742# 640# 91 966740# 537# + 24 58 34 92 Se x -46724# 400# 8290# 4# B- 9509# 400# 91 949840# 429# + 22 57 35 92 Br x -56232.805 6.709 8384.911 0.073 B- 12536.514 7.232 91 939631.597 7.202 + 20 56 36 92 Kr x -68769.320 2.701 8512.674 0.029 B- 6003.118 6.692 91 926173.094 2.900 + 18 55 37 92 Rb -74772.438 6.123 8569.422 0.067 B- 8094.923 6.419 91 919728.481 6.573 + 16 54 38 92 Sr -82867.361 3.423 8648.906 0.037 B- 1949.132 9.384 91 911038.224 3.675 + 14 53 39 92 Y -84816.492 9.127 8661.589 0.099 B- 3642.535 9.127 91 908945.745 9.798 + 12 52 40 92 Zr -88459.028 0.102 8692.678 0.001 B- -2005.736 1.782 91 905035.322 0.109 + 10 51 41 92 Nb -86453.292 1.785 8662.372 0.019 B- 355.284 1.791 91 907188.568 1.915 + 8 50 42 92 Mo -86808.576 0.157 8657.730 0.002 B- -7882.884 3.106 91 906807.155 0.168 + 6 49 43 92 Tc -78925.693 3.102 8563.543 0.034 B- -4624.492 4.125 91 915269.779 3.330 + 4 48 44 92 Ru -74301.201 2.718 8504.773 0.030 B- -11302.114 5.153 91 920234.375 2.917 + 2 47 45 92 Rh x -62999.087 4.378 8373.420 0.048 B- -8419# 300# 91 932367.694 4.700 + 0 46 46 92 Pd x -54580# 300# 8273# 3# B- -17450# 583# 91 941406# 322# + -2 45 47 92 Ag x -37130# 500# 8075# 5# B- * 91 960139# 537# +0 25 59 34 93 Se x -40716# 400# 8223# 4# B- 12175# 588# 92 956290# 429# + 23 58 35 93 Br x -52890.230 430.816 8345.598 4.632 B- 11245.765 430.823 92 943220.000 462.500 + 21 57 36 93 Kr x -64135.994 2.515 8458.108 0.027 B- 8483.907 8.224 92 931147.174 2.700 + 19 56 37 93 Rb -72619.901 7.830 8540.920 0.084 B- 7465.938 8.876 92 922039.325 8.406 + 17 55 38 93 Sr -80085.838 7.554 8612.787 0.081 B- 4141.319 11.697 92 914024.311 8.109 + 15 54 39 93 Y -84227.157 10.488 8648.905 0.113 B- 2894.875 10.483 92 909578.422 11.259 + 13 53 40 93 Zr -87122.032 0.457 8671.620 0.005 B- 90.806 1.484 92 906470.646 0.490 + 11 52 41 93 Nb -87212.838 1.491 8664.184 0.016 B- -405.769 1.501 92 906373.161 1.600 + 9 51 42 93 Mo -n -86807.069 0.181 8651.409 0.002 B- -3200.963 1.004 92 906808.773 0.193 + 7 50 43 93 Tc -p -83606.106 1.012 8608.577 0.011 B- -6389.393 2.299 92 910245.149 1.086 + 5 49 44 93 Ru -77216.713 2.065 8531.462 0.022 B- -8204.913 3.343 92 917104.444 2.216 + 3 48 45 93 Rh -69011.800 2.629 8434.825 0.028 B- -10011# 301# 92 925912.781 2.821 + 1 47 46 93 Pd +p -59001# 300# 8319# 3# B- -12734# 501# 92 936660# 323# + -1 46 47 93 Ag x -46267# 401# 8173# 4# B- * 92 950330# 430# +0 26 60 34 94 Se x -36803# 500# 8180# 5# B- 10597# 583# 93 960490# 537# + 24 59 35 94 Br x -47400# 300# 8284# 3# B- 13948# 300# 93 949114# 322# + 22 58 36 94 Kr x -61347.772 12.109 8424.331 0.129 B- 7215.013 12.278 93 934140.454 13.000 + 20 57 37 94 Rb -68562.785 2.029 8492.764 0.022 B- 10282.926 2.623 93 926394.818 2.177 + 18 56 38 94 Sr -78845.711 1.663 8593.834 0.018 B- 3505.752 6.422 93 915355.643 1.785 + 16 55 39 94 Y -82351.463 6.380 8622.806 0.068 B- 4917.859 6.380 93 911592.063 6.849 + 14 54 40 94 Zr -87269.322 0.164 8666.801 0.002 B- -900.260 1.500 93 906312.524 0.175 + 12 53 41 94 Nb -86369.062 1.491 8648.901 0.016 B- 2045.002 1.494 93 907278.992 1.601 + 10 52 42 94 Mo -88414.065 0.141 8662.333 0.002 B- -4255.748 4.069 93 905083.592 0.151 + 8 51 43 94 Tc - -84158.317 4.071 8608.736 0.043 B- -1574.726 5.143 93 909652.325 4.370 + 6 50 44 94 Ru -82583.591 3.143 8583.661 0.033 B- -9675.978 4.615 93 911342.863 3.374 + 4 49 45 94 Rh -72907.613 3.379 8472.402 0.036 B- -6805.345 5.459 93 921730.453 3.627 + 2 48 46 94 Pd x -66102.268 4.287 8391.682 0.046 B- -13693# 400# 93 929036.292 4.602 + 0 47 47 94 Ag x -52410# 400# 8238# 4# B- -12270# 640# 93 943736# 429# + -2 46 48 94 Cd x -40140# 500# 8099# 5# B- * 93 956908# 537# +0 27 61 34 95 Se x -30460# 500# 8112# 5# B- 13311# 582# 94 967300# 537# + 25 60 35 95 Br x -43771# 298# 8244# 3# B- 12388# 299# 94 953010# 320# + 23 59 36 95 Kr x -56158.913 18.630 8365.995 0.196 B- 9732.580 27.513 94 939710.923 20.000 + 21 58 37 95 Rb -65891.493 20.245 8460.208 0.213 B- 9228.058 20.204 94 929262.568 21.734 + 19 57 38 95 Sr -75119.551 5.812 8549.111 0.061 B- 6089.296 7.240 94 919355.840 6.239 + 17 56 39 95 Y -81208.848 6.779 8604.973 0.071 B- 4451.092 6.772 94 912818.711 7.277 + 15 55 40 95 Zr -85659.940 0.869 8643.592 0.009 B- 1126.318 0.985 94 908040.267 0.933 + 13 54 41 95 Nb -86786.258 0.508 8647.212 0.005 B- 925.601 0.494 94 906831.115 0.545 + 11 53 42 95 Mo -87711.858 0.123 8648.720 0.001 B- -1690.518 5.078 94 905837.442 0.132 + 9 52 43 95 Tc -86021.341 5.080 8622.690 0.053 B- -2563.596 10.531 94 907652.287 5.453 + 7 51 44 95 Ru -83457.745 9.502 8587.470 0.100 B- -5117.138 10.266 94 910404.420 10.200 + 5 50 45 95 Rh -78340.606 3.886 8525.370 0.041 B- -8374.706 4.928 94 915897.895 4.171 + 3 49 46 95 Pd x -69965.900 3.031 8428.980 0.032 B- -10369# 298# 94 924888.512 3.253 + 1 48 47 95 Ag x -59597# 298# 8312# 3# B- -12966# 499# 94 936020# 320# + -1 47 48 95 Cd x -46631# 401# 8167# 4# B- * 94 949940# 430# +0 26 61 35 96 Br x -38163# 298# 8184# 3# B- 14916# 299# 95 959030# 320# + 24 60 36 96 Kr x -53079.678 20.493 8330.851 0.213 B- 8274.671 20.765 95 943016.618 22.000 + 22 59 37 96 Rb -61354.349 3.353 8408.896 0.035 B- 11569.808 9.115 95 934133.393 3.599 + 20 58 38 96 Sr -72924.157 8.475 8521.265 0.088 B- 5411.738 9.726 95 921712.692 9.098 + 18 57 39 96 Y -78335.895 6.088 8569.488 0.063 B- 7102.951 6.087 95 915902.953 6.535 + 16 56 40 96 Zr -85438.846 0.114 8635.327 0.001 B- 163.971 0.100 95 908277.621 0.122 + 14 55 41 96 Nb -85602.816 0.147 8628.886 0.002 B- 3192.059 0.107 95 908101.591 0.157 + 12 54 42 96 Mo -88794.876 0.120 8653.987 0.001 B- -2973.242 5.145 95 904674.774 0.128 + 10 53 43 96 Tc - -85821.634 5.146 8614.866 0.054 B- 258.738 5.146 95 907866.681 5.524 + 8 52 44 96 Ru -86080.372 0.170 8609.412 0.002 B- -6392.654 10.000 95 907588.914 0.182 + 6 51 45 96 Rh - -79687.718 10.001 8534.673 0.104 B- -3504.312 10.844 95 914451.710 10.737 + 4 50 46 96 Pd x -76183.406 4.194 8490.020 0.044 B- -11671.771 90.181 95 918213.744 4.502 + 2 49 47 96 Ag ep -64511.636 90.084 8360.290 0.938 B- -8939# 411# 95 930743.906 96.708 + 0 48 48 96 Cd x -55573# 401# 8259# 4# B- -17683# 641# 95 940340# 430# + -2 47 49 96 In x -37890# 500# 8067# 5# B- * 95 959323# 537# +0 27 62 35 97 Br x -34055# 401# 8140# 4# B- 13368# 421# 96 963440# 430# + 25 61 36 97 Kr x -47423.492 130.409 8269.864 1.344 B- 11095.645 130.423 96 949088.784 140.000 + 23 60 37 97 Rb -58519.137 1.912 8376.186 0.020 B- 10062.317 3.888 96 937177.118 2.052 + 21 59 38 97 Sr -68581.454 3.385 8471.856 0.035 B- 7539.969 7.521 96 926374.776 3.633 + 19 58 39 97 Y + -76121.424 6.719 8541.522 0.069 B- 6821.237 6.707 96 918280.286 7.213 + 17 57 40 97 Zr -82942.661 0.414 8603.779 0.004 B- 2663.115 4.248 96 910957.386 0.444 + 15 56 41 97 Nb -85605.776 4.249 8623.168 0.044 B- 1938.915 4.248 96 908098.414 4.561 + 13 55 42 97 Mo -87544.691 0.165 8635.092 0.002 B- -320.266 4.117 96 906016.903 0.176 + 11 54 43 97 Tc -87224.424 4.118 8623.725 0.042 B- -1103.873 4.956 96 906360.723 4.420 + 9 53 44 97 Ru -n -86120.552 2.763 8604.279 0.028 B- -3523.000 35.355 96 907545.779 2.965 + 7 52 45 97 Rh - -82597.552 35.463 8559.894 0.366 B- -4791.709 35.792 96 911327.876 38.071 + 5 51 46 97 Pd x -77805.843 4.844 8502.430 0.050 B- -6980.000 110.000 96 916471.987 5.200 + 3 50 47 97 Ag - -70825.843 110.107 8422.405 1.135 B- -10372# 318# 96 923965.326 118.204 + 1 49 48 97 Cd x -60454# 298# 8307# 3# B- -13264# 499# 96 935100# 320# + -1 48 49 97 In x -47189# 401# 8163# 4# B- * 96 949340# 430# +0 28 63 35 98 Br x -28250# 400# 8080# 4# B- 16061# 499# 97 969672# 429# + 26 62 36 98 Kr x -44311# 298# 8236# 3# B- 10058# 299# 97 952430# 320# + 24 61 37 98 Rb -54369.146 16.083 8330.729 0.164 B- 12053.958 16.403 97 941632.317 17.265 + 22 60 38 98 Sr -66423.104 3.226 8445.745 0.033 B- 5871.673 8.558 97 928691.860 3.463 + 20 59 39 98 Y p-2n -72294.777 7.929 8497.677 0.081 B- 8991.932 11.576 97 922388.360 8.511 + 18 58 40 98 Zr -81286.709 8.451 8581.448 0.086 B- 2237.890 9.819 97 912735.124 9.072 + 16 57 41 98 Nb -pn -83524.598 5.001 8596.301 0.051 B- 4591.373 5.003 97 910332.650 5.369 + 14 56 42 98 Mo -88115.972 0.174 8635.168 0.002 B- -1683.766 3.377 97 905403.608 0.186 + 12 55 43 98 Tc -86432.205 3.380 8610.004 0.034 B- 1792.653 7.157 97 907211.205 3.628 + 10 54 44 98 Ru -88224.858 6.463 8620.313 0.066 B- -5049.653 10.000 97 905286.713 6.937 + 8 53 45 98 Rh - -83175.205 11.906 8560.803 0.121 B- -1854.229 12.816 97 910707.740 12.782 + 6 52 46 98 Pd -81320.975 4.742 8533.899 0.048 B- -8254.560 33.098 97 912698.337 5.090 + 4 51 47 98 Ag -73066.415 32.907 8441.686 0.336 B- -5430.000 40.000 97 921559.972 35.327 + 2 50 48 98 Cd - -67636.415 51.797 8378.295 0.529 B- -13740# 303# 97 927389.317 55.605 + 0 49 49 98 In x -53896# 298# 8230# 3# B- * 97 942140# 320# +0 27 63 36 99 Kr x -38759# 401# 8178# 4# B- 12362# 401# 98 958390# 430# + 25 62 37 99 Rb x -51121.143 4.031 8295.300 0.041 B- 11400.258 6.223 98 945119.192 4.327 + 23 61 38 99 Sr -62521.401 4.741 8402.552 0.048 B- 8128.424 8.138 98 932880.511 5.089 + 21 60 39 99 Y x -70649.825 6.627 8476.755 0.067 B- 6970.792 12.409 98 924154.288 7.114 + 19 59 40 99 Zr -77620.617 10.502 8539.264 0.106 B- 4714.724 15.950 98 916670.835 11.274 + 17 58 41 99 Nb +p -82335.341 12.004 8578.985 0.121 B- 3634.758 12.006 98 911609.371 12.886 + 15 57 42 99 Mo -85970.098 0.229 8607.797 0.002 B- 1357.764 0.890 98 907707.298 0.245 + 13 56 43 99 Tc -87327.862 0.908 8613.610 0.009 B- 297.519 0.946 98 906249.678 0.974 + 11 55 44 99 Ru -87625.381 0.344 8608.712 0.003 B- -2044.081 6.690 98 905930.278 0.369 + 9 54 45 99 Rh -85581.300 6.697 8580.163 0.068 B- -3398.649 8.008 98 908124.690 7.189 + 7 53 46 99 Pd -82182.651 4.981 8537.930 0.050 B- -5470.178 8.004 98 911773.290 5.347 + 5 52 47 99 Ag x -76712.473 6.265 8474.774 0.063 B- -6781.350 6.462 98 917645.768 6.725 + 3 51 48 99 Cd x -69931.123 1.584 8398.373 0.016 B- -8555# 298# 98 924925.847 1.700 + 1 50 49 99 In x -61376# 298# 8304# 3# B- -13432# 585# 98 934110# 320# + -1 49 50 99 Sn x -47944# 503# 8160# 5# B- * 98 948530# 540# +0 28 64 36 100 Kr x -35052# 401# 8140# 4# B- 11195# 401# 99 962370# 430# + 26 63 37 100 Rb x -46247.064 19.561 8244.320 0.196 B- 13573.838 20.831 99 950351.731 21.000 + 24 62 38 100 Sr -59820.903 7.160 8372.234 0.072 B- 7506.493 13.273 99 935779.615 7.686 + 22 61 39 100 Y x -67327.396 11.186 8439.476 0.112 B- 9050.041 13.830 99 927721.063 12.008 + 20 60 40 100 Zr -76377.437 8.149 8522.153 0.081 B- 3419.963 11.398 99 918005.444 8.748 + 18 59 41 100 Nb IT -79797.399 7.986 8548.529 0.080 B- 6395.626 7.992 99 914333.963 8.573 + 16 58 42 100 Mo -86193.025 0.302 8604.662 0.003 B- -172.080 1.371 99 907467.976 0.323 + 14 57 43 100 Tc -n -86020.945 1.351 8595.118 0.014 B- 3206.444 1.376 99 907652.711 1.450 + 12 56 44 100 Ru -89227.389 0.343 8619.359 0.003 B- -3636.262 18.123 99 904210.452 0.368 + 10 55 45 100 Rh -85591.126 18.125 8575.172 0.181 B- -378.348 25.289 99 908114.141 19.458 + 8 54 46 100 Pd -85212.778 17.638 8563.566 0.176 B- -7074.819 18.333 99 908520.315 18.935 + 6 53 47 100 Ag x -78137.959 5.000 8484.994 0.050 B- -3943.363 5.273 99 916115.445 5.367 + 4 52 48 100 Cd -74194.596 1.677 8437.737 0.017 B- -9881.624 182.517 99 920348.820 1.799 + 2 51 49 100 In -64312.972 182.519 8331.097 1.825 B- -7030.000 240.000 99 930957.180 195.942 + 0 50 50 100 Sn - -57282.972 301.518 8252.974 3.015 B- * 99 938504.196 323.693 +0 29 65 36 101 Kr x -29128# 503# 8081# 5# B- 13717# 541# 100 968730# 540# + 27 64 37 101 Rb + -42845# 200# 8209# 2# B- 12480# 200# 100 954004# 215# + 25 63 38 101 Sr x -55324.907 8.480 8324.740 0.084 B- 9736.095 11.055 100 940606.266 9.103 + 23 62 39 101 Y x -65061.002 7.092 8413.391 0.070 B- 8104.955 10.933 100 930154.138 7.614 + 21 61 40 101 Zr -73165.957 8.339 8485.892 0.083 B- 5725.534 9.143 100 921453.110 8.951 + 19 60 41 101 Nb x -78891.491 3.749 8534.835 0.037 B- 4628.458 3.738 100 915306.496 4.024 + 17 59 42 101 Mo -n -83519.949 0.309 8572.915 0.003 B- 2824.645 24.002 100 910337.641 0.331 + 15 58 43 101 Tc + -86344.594 24.004 8593.136 0.238 B- 1613.520 24.000 100 907305.260 25.768 + 13 57 44 101 Ru -87958.114 0.415 8601.365 0.004 B- -545.697 5.852 100 905573.075 0.445 + 11 56 45 101 Rh -87412.416 5.841 8588.216 0.058 B- -1980.284 3.903 100 906158.905 6.270 + 9 55 46 101 Pd -85432.132 4.588 8560.864 0.045 B- -4097.759 6.668 100 908284.828 4.925 + 7 54 47 101 Ag x -81334.374 4.838 8512.546 0.048 B- -5497.918 5.063 100 912683.953 5.193 + 5 53 48 101 Cd x -75836.456 1.490 8450.365 0.015 B- -7223# 196# 100 918586.211 1.600 + 3 52 49 101 In x -68614# 196# 8371# 2# B- -8308# 358# 100 926340# 210# + 1 51 50 101 Sn ep -60305.626 300.005 8281.102 2.970 B- * 100 935259.244 322.068 +0 28 65 37 102 Rb x -37707# 298# 8157# 3# B- 14452# 306# 101 959520# 320# + 26 64 38 102 Sr x -52159.304 67.068 8291.220 0.658 B- 9013.873 67.191 101 944004.680 72.000 + 24 63 39 102 Y x -61173.177 4.077 8371.922 0.040 B- 10414.530 9.669 101 934327.889 4.377 + 22 62 40 102 Zr -71587.707 8.767 8466.355 0.086 B- 4716.837 9.053 101 923147.431 9.412 + 20 61 41 102 Nb -76304.544 2.545 8504.928 0.025 B- 7261.517 8.675 101 918083.697 2.732 + 18 60 42 102 Mo -83566.061 8.312 8568.450 0.081 B- 1006.817 12.373 101 910288.138 8.923 + 16 59 43 102 Tc -84572.878 9.166 8570.650 0.090 B- 4533.558 9.165 101 909207.275 9.840 + 14 58 44 102 Ru -89106.437 0.418 8607.427 0.004 B- -2323.119 6.396 101 904340.300 0.448 + 12 57 45 102 Rh - -86783.318 6.410 8576.981 0.063 B- 1119.853 6.406 101 906834.270 6.881 + 10 56 46 102 Pd -87903.171 0.554 8580.290 0.005 B- -5656.480 8.190 101 905632.058 0.594 + 8 55 47 102 Ag + -82246.691 8.171 8517.164 0.080 B- -2587.000 8.000 101 911704.540 8.771 + 6 54 48 102 Cd -79659.691 1.662 8484.131 0.016 B- -8964.807 4.865 101 914481.799 1.784 + 4 53 49 102 In -70694.884 4.573 8388.571 0.045 B- -5760.000 100.000 101 924105.916 4.909 + 2 52 50 102 Sn - -64934.884 100.105 8324.430 0.981 B- * 101 930289.530 107.466 +0 29 66 37 103 Rb x -33608# 401# 8117# 4# B- 13814# 446# 102 963920# 430# + 27 65 38 103 Sr x -47422# 196# 8243# 2# B- 11035# 196# 102 949090# 210# + 25 64 39 103 Y x -58457.575 11.204 8342.638 0.109 B- 9357.759 14.518 102 937243.208 12.028 + 23 63 40 103 Zr x -67815.334 9.232 8425.895 0.090 B- 7213.337 10.036 102 927197.240 9.911 + 21 62 41 103 Nb x -75028.671 3.935 8488.331 0.038 B- 5931.999 10.036 102 919453.403 4.224 + 19 61 42 103 Mo x -80960.670 9.232 8538.328 0.090 B- 3643.197 13.471 102 913085.140 9.911 + 17 60 43 103 Tc +p -84603.867 9.810 8566.103 0.095 B- 2663.304 9.808 102 909174.008 10.531 + 15 59 44 103 Ru -87267.171 0.443 8584.365 0.004 B- 764.538 2.260 102 906314.833 0.475 + 13 58 45 103 Rh -88031.708 2.301 8584.192 0.022 B- -574.519 2.420 102 905494.068 2.470 + 11 57 46 103 Pd -n -87457.189 0.950 8571.019 0.009 B- -2654.498 4.207 102 906110.840 1.019 + 9 56 47 103 Ag x -84802.692 4.099 8537.651 0.040 B- -4151.075 4.481 102 908960.560 4.400 + 7 55 48 103 Cd -80651.616 1.811 8489.754 0.018 B- -6019.026 9.754 102 913416.923 1.943 + 5 54 49 103 In -74632.591 9.625 8423.721 0.093 B- -7660.000 70.000 102 919878.613 10.332 + 3 53 50 103 Sn - -66972.591 70.659 8341.757 0.686 B- -10794# 306# 102 928101.962 75.855 + 1 52 51 103 Sb x -56178# 298# 8229# 3# B- * 102 939690# 320# +0 28 66 38 104 Sr x -44106# 298# 8210# 3# B- 9958# 499# 103 952650# 320# + 26 65 39 104 Y x -54064# 401# 8298# 4# B- 11660# 401# 103 941960# 430# + 24 64 40 104 Zr x -65724.060 9.325 8402.377 0.090 B- 6094.952 9.699 103 929442.315 10.011 + 22 63 41 104 Nb x -71819.012 2.737 8453.459 0.026 B- 8530.957 9.311 103 922899.115 2.938 + 20 62 42 104 Mo -80349.968 8.921 8527.965 0.086 B- 2153.476 24.167 103 913740.756 9.576 + 18 61 43 104 Tc -82503.444 24.888 8541.149 0.239 B- 5592.266 24.939 103 911428.905 26.718 + 16 60 44 104 Ru -88095.710 2.498 8587.399 0.024 B- -1136.362 3.364 103 905425.360 2.681 + 14 59 45 104 Rh -n -86959.348 2.303 8568.949 0.022 B- 2435.758 2.660 103 906645.295 2.472 + 12 58 46 104 Pd +n -89395.105 1.336 8584.848 0.013 B- -4278.654 4.000 103 904030.401 1.434 + 10 57 47 104 Ag - -85116.452 4.217 8536.184 0.041 B- -1148.072 4.537 103 908623.725 4.527 + 8 56 48 104 Cd -83968.380 1.673 8517.622 0.016 B- -7785.716 6.013 103 909856.230 1.795 + 6 55 49 104 In x -76182.665 5.775 8435.237 0.056 B- -4555.617 8.146 103 918214.540 6.200 + 4 54 50 104 Sn -71627.047 5.745 8383.911 0.055 B- -12453.427 122.579 103 923105.197 6.167 + 2 53 51 104 Sb -p -59173.620 122.444 8256.644 1.177 B- * 103 936474.502 131.449 +0 29 67 38 105 Sr x -38610# 503# 8156# 5# B- 12660# 1428# 104 958550# 540# + 27 66 39 105 Y x -51270.361 1336.694 8269.020 12.730 B- 10194.373 1336.749 104 944959.000 1435.000 + 25 65 40 105 Zr x -61464.734 12.118 8358.659 0.115 B- 8450.817 12.770 104 934014.890 13.008 + 23 64 41 105 Nb x -69915.551 4.028 8431.692 0.038 B- 7421.590 9.920 104 924942.564 4.324 + 21 63 42 105 Mo -77337.141 9.065 8494.923 0.086 B- 4952.947 35.031 104 916975.159 9.731 + 19 62 43 105 Tc -82290.088 35.264 8534.643 0.336 B- 3644.402 35.280 104 911657.952 37.857 + 17 61 44 105 Ru -85934.490 2.499 8561.900 0.024 B- 1916.752 2.851 104 907745.525 2.682 + 15 60 45 105 Rh -87851.243 2.502 8572.704 0.024 B- 566.646 2.346 104 905687.806 2.685 + 13 59 46 105 Pd -88417.888 1.138 8570.650 0.011 B- -1347.052 4.670 104 905079.487 1.222 + 11 58 47 105 Ag -87070.836 4.544 8550.370 0.043 B- -2736.997 4.362 104 906525.607 4.877 + 9 57 48 105 Cd -84333.839 1.392 8516.852 0.013 B- -4693.267 10.341 104 909463.895 1.494 + 7 56 49 105 In x -79640.572 10.246 8464.704 0.098 B- -6302.580 10.989 104 914502.324 11.000 + 5 55 50 105 Sn -73337.992 3.971 8397.228 0.038 B- -9322.510 22.185 104 921268.423 4.263 + 3 54 51 105 Sb +a -64015.482 21.827 8300.992 0.208 B- -11203.972 300.813 104 931276.549 23.431 + 1 53 52 105 Te -a -52811.510 300.020 8186.836 2.857 B- * 104 943304.508 322.084 +0 30 68 38 106 Sr x -34790# 600# 8119# 6# B- 11263# 783# 105 962651# 644# + 28 67 39 106 Y x -46053# 503# 8218# 5# B- 12497# 664# 105 950560# 540# + 26 66 40 106 Zr x -58549.987 433.145 8328.450 4.086 B- 7653.370 433.164 105 937144.000 465.000 + 24 65 41 106 Nb x -66203.357 4.122 8393.271 0.039 B- 9931.170 10.026 105 928927.768 4.424 + 22 64 42 106 Mo x -76134.528 9.140 8479.581 0.086 B- 3641.695 15.284 105 918266.218 9.812 + 20 63 43 106 Tc + -79776.223 12.250 8506.556 0.116 B- 6547.000 11.000 105 914356.697 13.150 + 18 62 44 106 Ru -86323.223 5.391 8560.940 0.051 B- 39.404 0.212 105 907328.203 5.787 + 16 61 45 106 Rh -86362.627 5.390 8553.931 0.051 B- 3544.901 5.335 105 907285.901 5.785 + 14 60 46 106 Pd -89907.527 1.106 8579.992 0.010 B- -2965.145 2.817 105 903480.293 1.186 + 12 59 47 106 Ag -86942.383 3.016 8544.639 0.028 B- 189.755 2.819 105 906663.507 3.237 + 10 58 48 106 Cd -87132.138 1.104 8539.048 0.010 B- -6524.004 12.176 105 906459.797 1.184 + 8 57 49 106 In - -80608.134 12.226 8470.120 0.115 B- -3254.447 13.244 105 913463.603 13.125 + 6 56 50 106 Sn -77353.687 5.091 8432.038 0.048 B- -10880.396 9.025 105 916957.396 5.465 + 4 55 51 106 Sb x -66473.292 7.452 8322.012 0.070 B- -8253.544 100.816 105 928637.982 8.000 + 2 54 52 106 Te -a -58219.748 100.541 8236.767 0.948 B- * 105 937498.526 107.934 +0 31 69 38 107 Sr x -28900# 700# 8064# 7# B- 13465# 862# 106 968975# 751# + 29 68 39 107 Y x -42364# 503# 8182# 5# B- 12015# 1230# 106 954520# 540# + 27 67 40 107 Zr x -54379.688 1122.450 8287.073 10.490 B- 9344.122 1122.479 106 941621.000 1205.000 + 25 66 41 107 Nb x -63723.810 8.023 8367.089 0.075 B- 8827.750 12.232 106 931589.672 8.612 + 23 65 42 107 Mo x -72551.560 9.233 8442.280 0.086 B- 6198.355 12.667 106 922112.692 9.912 + 21 64 43 107 Tc x -78749.914 8.673 8492.897 0.081 B- 5112.598 11.724 106 915458.485 9.310 + 19 63 44 107 Ru -nn -83862.512 8.673 8533.366 0.081 B- 3001.191 14.847 106 909969.885 9.310 + 17 62 45 107 Rh +p -86863.703 12.051 8554.103 0.113 B- 1508.936 12.111 106 906747.974 12.937 + 15 61 46 107 Pd -88372.639 1.201 8560.894 0.011 B- 34.031 2.318 106 905128.064 1.289 + 13 60 47 107 Ag -88406.670 2.382 8553.900 0.022 B- -1416.409 2.567 106 905091.531 2.557 + 11 59 48 107 Cd -86990.261 1.665 8533.351 0.016 B- -3426.000 11.000 106 906612.108 1.787 + 9 58 49 107 In - -83564.261 11.125 8494.021 0.104 B- -5052.033 12.327 106 910290.071 11.943 + 7 57 50 107 Sn x -78512.228 5.310 8439.494 0.050 B- -7858.989 6.738 106 915713.651 5.700 + 5 56 51 107 Sb -70653.239 4.148 8358.734 0.039 B- -10113.913 70.952 106 924150.624 4.452 + 3 55 52 107 Te -a -60539.326 70.830 8256.899 0.662 B- -11110# 308# 106 935008.356 76.039 + 1 54 53 107 I x -49430# 300# 8146# 3# B- * 106 946935# 322# +0 30 69 39 108 Y x -37297# 596# 8134# 6# B- 14056# 718# 107 959960# 640# + 28 68 40 108 Zr x -51353# 401# 8257# 4# B- 8193# 401# 107 944870# 430# + 26 67 41 108 Nb x -59545.765 8.237 8325.665 0.076 B- 11210.177 12.373 107 936074.988 8.842 + 24 66 42 108 Mo x -70755.942 9.233 8422.219 0.085 B- 5166.835 12.734 107 924040.367 9.912 + 22 65 43 108 Tc x -75922.778 8.769 8462.816 0.081 B- 7738.573 11.790 107 918493.541 9.413 + 20 64 44 108 Ru -3n -83661.350 8.680 8527.225 0.080 B- 1370.370 16.469 107 910185.841 9.318 + 18 63 45 108 Rh x -85031.721 13.996 8532.670 0.130 B- 4492.486 14.039 107 908714.688 15.024 + 16 62 46 108 Pd -89524.206 1.108 8567.023 0.010 B- -1917.444 2.633 107 903891.805 1.189 + 14 61 47 108 Ag -n -87606.763 2.388 8542.025 0.022 B- 1645.651 2.639 107 905950.266 2.563 + 12 60 48 108 Cd -89252.414 1.123 8550.019 0.010 B- -5132.595 8.584 107 904183.587 1.205 + 10 59 49 108 In -84119.819 8.641 8495.251 0.080 B- -2049.881 9.836 107 909693.655 9.276 + 8 58 50 108 Sn -82069.938 5.382 8469.027 0.050 B- -9624.607 7.692 107 911894.292 5.778 + 6 57 51 108 Sb x -72445.331 5.496 8372.666 0.051 B- -6663.664 7.712 107 922226.734 5.900 + 4 56 52 108 Te -65781.667 5.411 8303.721 0.050 B- -13132.062 132.370 107 929380.471 5.808 + 2 55 53 108 I -a -52649.605 132.260 8174.884 1.225 B- * 107 943478.321 141.986 +0 31 70 39 109 Y x -33200# 700# 8096# 6# B- 12992# 862# 108 964358# 751# + 29 69 40 109 Zr x -46193# 503# 8208# 5# B- 10497# 566# 108 950410# 540# + 27 68 41 109 Nb x -56689.794 258.490 8297.130 2.371 B- 9976.202 258.732 108 939141.000 277.500 + 25 67 42 109 Mo x -66665.996 11.188 8381.477 0.103 B- 7616.780 14.787 108 928431.106 12.010 + 23 66 43 109 Tc x -74282.775 9.669 8444.178 0.089 B- 6455.626 12.657 108 920254.156 10.380 + 21 65 44 109 Ru -4n -80738.401 8.954 8496.227 0.082 B- 4261.054 9.822 108 913323.756 9.612 + 19 64 45 109 Rh -84999.455 4.039 8528.142 0.037 B- 2607.021 4.187 108 908749.326 4.336 + 17 63 46 109 Pd -87606.476 1.114 8544.882 0.010 B- 1112.950 1.402 108 905950.574 1.195 + 15 62 47 109 Ag -88719.426 1.287 8547.915 0.012 B- -215.105 1.780 108 904755.773 1.381 + 13 61 48 109 Cd -88504.321 1.536 8538.764 0.014 B- -2014.809 4.066 108 904986.698 1.649 + 11 60 49 109 In -86489.511 3.969 8513.102 0.036 B- -3859.327 8.887 108 907149.685 4.261 + 9 59 50 109 Sn -82630.184 7.949 8470.518 0.073 B- -6379.206 8.807 108 911292.843 8.533 + 7 58 51 109 Sb -76250.977 5.265 8404.815 0.048 B- -8535.587 6.850 108 918141.204 5.652 + 5 57 52 109 Te -67715.390 4.382 8319.330 0.040 B- -10042.894 8.030 108 927304.534 4.704 + 3 56 53 109 I -p -57672.496 6.729 8220.016 0.062 B- -11502.948 300.183 108 938086.025 7.223 + 1 55 54 109 Xe -a -46169.548 300.108 8107.306 2.753 B- * 108 950434.948 322.178 +0 30 70 40 110 Zr x -42886# 596# 8177# 5# B- 9424# 1029# 109 953960# 640# + 28 69 41 110 Nb x -52309.909 838.345 8255.260 7.621 B- 12232.677 838.694 109 943843.000 900.000 + 26 68 42 110 Mo x -64542.585 24.223 8359.354 0.220 B- 6491.925 26.018 109 930710.680 26.004 + 24 67 43 110 Tc x -71034.510 9.497 8411.259 0.086 B- 9038.066 12.509 109 923741.312 10.195 + 22 66 44 110 Ru -80072.576 8.924 8486.311 0.081 B- 2756.110 19.404 109 914038.548 9.580 + 20 65 45 110 Rh -82828.686 17.805 8504.254 0.162 B- 5502.218 17.797 109 911079.742 19.114 + 18 64 46 110 Pd -88330.905 0.612 8547.162 0.006 B- -873.603 1.378 109 905172.868 0.657 + 16 63 47 110 Ag -87457.302 1.286 8532.108 0.012 B- 2890.667 1.277 109 906110.719 1.380 + 14 62 48 110 Cd -90347.969 0.380 8551.275 0.003 B- -3878.000 11.547 109 903007.460 0.407 + 12 61 49 110 In - -86469.969 11.553 8508.908 0.105 B- -627.985 17.980 109 907170.665 12.402 + 10 60 50 110 Sn x -85841.983 13.777 8496.087 0.125 B- -8392.250 15.012 109 907844.835 14.790 + 8 59 51 110 Sb x -77449.734 5.962 8412.681 0.054 B- -5219.923 8.875 109 916854.286 6.400 + 6 58 52 110 Te -72229.811 6.575 8358.115 0.060 B- -11765.635 50.978 109 922458.104 7.058 + 4 57 53 110 I -a -60464.176 50.552 8244.043 0.460 B- -8541.551 112.934 109 935089.033 54.270 + 2 56 54 110 Xe -a -51922.625 100.988 8159.280 0.918 B- * 109 944258.765 108.415 +0 31 71 40 111 Zr x -37560# 700# 8128# 6# B- 11316# 760# 110 959678# 751# + 29 70 41 111 Nb x -48875# 298# 8223# 3# B- 11064# 298# 110 947530# 320# + 27 69 42 111 Mo + -59939.761 12.578 8315.292 0.113 B- 9084.861 6.800 110 935652.016 13.502 + 25 68 43 111 Tc x -69024.622 10.581 8390.089 0.095 B- 7760.649 13.848 110 925899.016 11.359 + 23 67 44 111 Ru x -76785.271 9.682 8452.957 0.087 B- 5519.181 11.860 110 917567.616 10.394 + 21 66 45 111 Rh -82304.452 6.850 8495.631 0.062 B- 3681.435 6.887 110 911642.531 7.354 + 19 65 46 111 Pd -n -85985.888 0.731 8521.749 0.007 B- 2229.560 1.572 110 907690.347 0.785 + 17 64 47 111 Ag + -88215.447 1.459 8534.787 0.013 B- 1036.800 1.414 110 905296.816 1.565 + 15 63 48 111 Cd -89252.247 0.357 8537.079 0.003 B- -860.204 3.417 110 904183.766 0.383 + 13 62 49 111 In -88392.043 3.424 8522.282 0.031 B- -2453.456 6.337 110 905107.233 3.675 + 11 61 50 111 Sn +n -85938.587 5.336 8493.130 0.048 B- -5101.851 10.334 110 907741.126 5.728 + 9 60 51 111 Sb x -80836.736 8.849 8440.120 0.080 B- -7249.259 10.937 110 913218.189 9.500 + 7 59 52 111 Te x -73587.477 6.427 8367.763 0.058 B- -8633.692 7.994 110 921000.589 6.900 + 5 58 53 111 I -64953.785 4.754 8282.934 0.043 B- -10558.252 86.830 110 930269.239 5.103 + 3 57 54 111 Xe -a -54395.534 86.700 8180.766 0.781 B- -11575# 214# 110 941603.989 93.076 + 1 56 55 111 Cs x -42821# 196# 8069# 2# B- * 110 954030# 210# +0 32 72 40 112 Zr x -33810# 700# 8094# 6# B- 10463# 760# 111 963703# 751# + 30 71 41 112 Nb x -44274# 298# 8180# 3# B- 13190# 357# 111 952470# 320# + 28 70 42 112 Mo x -57464# 196# 8291# 2# B- 7795# 196# 111 938310# 210# + 26 69 43 112 Tc x -65258.938 5.515 8353.621 0.049 B- 10371.881 11.060 111 929941.644 5.920 + 24 68 44 112 Ru x -75630.818 9.599 8439.242 0.086 B- 4100.685 45.118 111 918806.972 10.305 + 22 67 45 112 Rh -79731.503 44.085 8468.870 0.394 B- 6590.059 43.927 111 914404.705 47.327 + 20 66 46 112 Pd -86321.562 6.544 8520.724 0.058 B- 262.156 6.978 111 907329.986 7.025 + 18 65 47 112 Ag x -86583.718 2.422 8516.080 0.022 B- 3991.141 2.435 111 907048.550 2.600 + 16 64 48 112 Cd -90574.859 0.250 8544.730 0.002 B- -2584.728 4.243 111 902763.883 0.268 + 14 63 49 112 In -87990.131 4.251 8514.667 0.038 B- 664.925 4.243 111 905538.704 4.563 + 12 62 50 112 Sn -88655.056 0.294 8513.618 0.003 B- -7056.091 17.832 111 904824.877 0.315 + 10 61 51 112 Sb x -81598.965 17.829 8443.632 0.159 B- -4031.457 19.702 111 912399.903 19.140 + 8 60 52 112 Te x -77567.508 8.383 8400.652 0.075 B- -10504.178 13.239 111 916727.850 9.000 + 6 59 53 112 I x -67063.330 10.246 8299.879 0.091 B- -7036.991 13.175 111 928004.550 11.000 + 4 58 54 112 Xe -a -60026.338 8.283 8230.064 0.074 B- -13736.062 87.190 111 935559.071 8.891 + 2 57 55 112 Cs -p -46290.277 86.796 8100.435 0.775 B- * 111 950305.341 93.178 +0 31 72 41 113 Nb x -40511# 401# 8146# 4# B- 11979# 500# 112 956510# 430# + 29 71 42 113 Mo x -52490# 300# 8245# 3# B- 10322# 300# 112 943650# 322# + 27 70 43 113 Tc x -62811.541 3.353 8329.464 0.030 B- 9056.578 37.028 112 932569.033 3.600 + 25 69 44 113 Ru -71868.119 36.875 8402.688 0.326 B- 6899.417 37.558 112 922846.396 39.587 + 23 68 45 113 Rh x -78767.536 7.130 8456.821 0.063 B- 4823.555 9.881 112 915439.567 7.653 + 21 67 46 113 Pd x -83591.092 6.945 8492.584 0.061 B- 3435.731 18.033 112 910261.267 7.455 + 19 66 47 113 Ag + -87026.822 16.643 8516.065 0.147 B- 2016.462 16.641 112 906572.858 17.866 + 17 65 48 113 Cd -89043.284 0.244 8526.987 0.002 B- 323.833 0.265 112 904408.097 0.262 + 15 64 49 113 In -89367.117 0.188 8522.929 0.002 B- -1038.985 1.573 112 904060.448 0.202 + 13 63 50 113 Sn -88328.132 1.575 8506.811 0.014 B- -3911.164 17.121 112 905175.845 1.690 + 11 62 51 113 Sb - -84416.968 17.193 8465.275 0.152 B- -6069.939 32.810 112 909374.652 18.457 + 9 61 52 113 Te x -78347.029 27.945 8404.636 0.247 B- -7227.522 29.070 112 915891.000 30.000 + 7 60 53 113 I x -71119.507 8.011 8333.752 0.071 B- -8915.889 10.533 112 923650.064 8.600 + 5 59 54 113 Xe -62203.618 6.840 8247.927 0.061 B- -10439.088 10.970 112 933221.666 7.342 + 3 58 55 113 Cs -p -51764.530 8.577 8148.622 0.076 B- -11980# 298# 112 944428.488 9.207 + 1 57 56 113 Ba x -39784# 298# 8036# 3# B- * 112 957290# 320# +0 32 73 41 114 Nb x -35387# 503# 8100# 4# B- 14420# 585# 113 962010# 540# + 30 72 42 114 Mo x -49807# 298# 8220# 3# B- 8793# 526# 113 946530# 320# + 28 71 43 114 Tc x -58600.288 433.145 8290.259 3.800 B- 11621.524 433.159 113 937090.000 465.000 + 26 70 44 114 Ru x -70221.811 3.550 8385.340 0.031 B- 5488.813 71.643 113 924613.780 3.811 + 24 69 45 114 Rh -75710.625 71.561 8426.624 0.628 B- 7780.319 71.891 113 918721.296 76.824 + 22 68 46 114 Pd x -83490.943 6.945 8488.010 0.061 B- 1439.856 8.311 113 910368.780 7.456 + 20 67 47 114 Ag x -84930.800 4.564 8493.778 0.040 B- 5084.133 4.573 113 908823.031 4.900 + 18 66 48 114 Cd -90014.932 0.276 8531.513 0.002 B- -1445.132 0.382 113 903364.990 0.296 + 16 65 49 114 In -88569.801 0.301 8511.973 0.003 B- 1989.923 0.302 113 904916.402 0.323 + 14 64 50 114 Sn -90559.723 0.029 8522.566 0.000 B- -6063.149 21.838 113 902780.132 0.031 + 12 63 51 114 Sb -84496.574 21.838 8462.518 0.192 B- -2608.005 35.466 113 909289.191 23.444 + 10 62 52 114 Te x -81888.569 27.945 8432.778 0.245 B- -9092# 152# 113 912089.000 30.000 + 8 61 53 114 I x -72796# 149# 8346# 1# B- -5710# 149# 113 921850# 160# + 6 60 54 114 Xe x -67085.890 11.178 8289.205 0.098 B- -12403.629 71.976 113 927980.331 12.000 + 4 59 55 114 Cs -a -54682.261 71.102 8173.538 0.624 B- -8776.835 124.892 113 941296.175 76.331 + 2 58 56 114 Ba -a -45905.426 102.676 8089.686 0.901 B- * 113 950718.495 110.227 +0 33 74 41 115 Nb x -31354# 503# 8065# 4# B- 13395# 643# 114 966340# 540# + 31 73 42 115 Mo x -44749# 401# 8175# 3# B- 11571# 885# 114 951960# 430# + 29 72 43 115 Tc x -56319.990 789.441 8268.527 6.865 B- 9869.744 794.386 114 939538.000 847.500 + 27 71 44 115 Ru x -66189.734 88.496 8347.547 0.770 B- 8040.097 88.790 114 928942.393 95.004 + 25 70 45 115 Rh x -74229.831 7.316 8410.658 0.064 B- 6196.554 15.350 114 920310.993 7.854 + 23 69 46 115 Pd -80426.386 13.546 8457.738 0.118 B- 4556.268 21.649 114 913658.718 14.541 + 21 68 47 115 Ag -84982.654 18.268 8490.555 0.159 B- 3101.825 18.274 114 908767.363 19.611 + 19 67 48 115 Cd -88084.479 0.651 8510.724 0.006 B- 1451.867 0.651 114 905437.417 0.699 + 17 66 49 115 In -89536.346 0.012 8516.546 0.000 B- 497.489 0.010 114 903878.773 0.012 + 15 65 50 115 Sn -90033.835 0.015 8514.069 0.000 B- -3030.432 16.025 114 903344.697 0.016 + 13 64 51 115 Sb x -87003.403 16.025 8480.915 0.139 B- -4940.644 32.214 114 906598.000 17.203 + 11 63 52 115 Te x -82062.759 27.945 8431.150 0.243 B- -5724.962 40.184 114 911902.000 30.000 + 9 62 53 115 I x -76337.797 28.876 8374.564 0.251 B- -7681.049 31.313 114 918048.000 31.000 + 7 61 54 115 Xe x -68656.748 12.109 8300.970 0.105 B- -8957# 103# 114 926293.945 13.000 + 5 60 55 115 Cs x -59699# 102# 8216# 1# B- -10680# 225# 114 935910# 110# + 3 59 56 115 Ba x -49020# 200# 8117# 2# B- * 114 947375# 215# +0 32 74 42 116 Mo x -41500# 500# 8146# 4# B- 9956# 582# 115 955448# 537# + 30 73 43 116 Tc x -51456# 298# 8225# 3# B- 12613# 298# 115 944760# 320# + 28 72 44 116 Ru x -64068.909 3.726 8326.883 0.032 B- 6667.213 73.926 115 931219.193 4.000 + 26 71 45 116 Rh -70736.122 73.832 8377.615 0.636 B- 9095.512 74.169 115 924061.645 79.261 + 24 70 46 116 Pd x -79831.635 7.132 8449.280 0.061 B- 2711.019 7.842 115 914297.210 7.656 + 22 69 47 116 Ag x -82542.653 3.260 8465.907 0.028 B- 6169.827 3.264 115 911386.812 3.500 + 20 68 48 116 Cd -88712.480 0.160 8512.350 0.001 B- -462.731 0.272 115 904763.230 0.172 + 18 67 49 116 In -n -88249.749 0.220 8501.617 0.002 B- 3276.221 0.240 115 905259.992 0.236 + 16 66 50 116 Sn -91525.970 0.096 8523.116 0.001 B- -4703.820 5.160 115 901742.824 0.103 + 14 65 51 116 Sb -86822.150 5.160 8475.821 0.044 B- -1553.189 28.417 115 906792.583 5.539 + 12 64 52 116 Te x -85268.961 27.945 8455.687 0.241 B- -7776.725 100.553 115 908460.000 30.000 + 10 63 53 116 I + -77492.236 96.592 8381.902 0.833 B- -4445.512 95.707 115 916808.658 103.695 + 8 62 54 116 Xe x -73046.724 13.041 8336.834 0.112 B- -11004# 101# 115 921581.112 14.000 + 6 61 55 116 Cs ea -62043# 100# 8235# 1# B- -7463# 224# 115 933395# 108# + 4 60 56 116 Ba x -54580# 200# 8164# 2# B- -13935# 371# 115 941406# 215# + 2 59 57 116 La -a -40645# 312# 8037# 3# B- * 115 956365# 335# +0 33 75 42 117 Mo x -36170# 500# 8100# 4# B- 12212# 641# 116 961170# 537# + 31 74 43 117 Tc x -48382# 401# 8197# 3# B- 11108# 590# 116 948060# 430# + 29 73 44 117 Ru x -59489.865 433.145 8285.562 3.702 B- 9407.508 433.236 116 936135.000 465.000 + 27 72 45 117 Rh x -68897.373 8.892 8359.281 0.076 B- 7527.104 11.411 116 926035.623 9.546 + 25 71 46 117 Pd -76424.477 7.252 8416.929 0.062 B- 5757.537 14.766 116 917954.944 7.785 + 23 70 47 117 Ag -82182.014 13.572 8459.452 0.116 B- 4236.375 13.610 116 911773.974 14.570 + 21 69 48 117 Cd -n -86418.389 1.013 8488.973 0.009 B- 2524.653 4.983 116 907226.038 1.087 + 19 68 49 117 In -88943.042 4.881 8503.865 0.042 B- 1454.709 4.857 116 904515.712 5.239 + 17 67 50 117 Sn -90397.751 0.483 8509.611 0.004 B- -1758.212 8.445 116 902954.017 0.518 + 15 66 51 117 Sb -88639.539 8.437 8487.897 0.072 B- -3544.128 13.079 116 904841.535 9.057 + 13 65 52 117 Te -85095.411 13.456 8450.919 0.115 B- -4659.334 28.673 116 908646.313 14.446 + 11 64 53 117 I -80436.077 26.196 8404.409 0.224 B- -6250.740 28.177 116 913648.314 28.123 + 9 63 54 117 Xe x -74185.337 10.378 8344.297 0.089 B- -7692.245 63.267 116 920358.760 11.141 + 7 62 55 117 Cs x -66493.092 62.410 8271.864 0.533 B- -9035.338 258.002 116 928616.726 67.000 + 5 61 56 117 Ba ep -57457.753 250.340 8187.953 2.140 B- -10987# 321# 116 938316.561 268.750 + 3 60 57 117 La -p -46471# 200# 8087# 2# B- * 116 950111# 215# +0 34 76 42 118 Mo x -32630# 500# 8069# 4# B- 11159# 641# 117 964970# 537# + 32 75 43 118 Tc x -43790# 401# 8157# 3# B- 13470# 448# 117 952990# 430# + 30 74 44 118 Ru x -57260# 200# 8265# 2# B- 7628# 202# 117 938529# 215# + 28 73 45 118 Rh x -64887.460 24.235 8322.858 0.205 B- 10501.286 24.342 117 930340.443 26.017 + 26 72 46 118 Pd -75388.746 2.491 8405.222 0.021 B- 4165.046 3.539 117 919066.847 2.673 + 24 71 47 118 Ag x -79553.792 2.515 8433.889 0.021 B- 7147.849 20.158 117 914595.487 2.700 + 22 70 48 118 Cd -nn -86701.641 20.001 8487.834 0.169 B- 526.570 21.450 117 906921.955 21.471 + 20 69 49 118 In -87228.211 7.752 8485.667 0.066 B- 4424.643 7.740 117 906356.659 8.322 + 18 68 50 118 Sn -91652.853 0.499 8516.533 0.004 B- -3656.640 2.975 117 901606.609 0.536 + 16 67 51 118 Sb - -87996.213 3.016 8478.915 0.026 B- -299.630 18.726 117 905532.174 3.238 + 14 66 52 118 Te +nn -87696.584 18.481 8469.746 0.157 B- -6725.536 27.056 117 905853.839 19.840 + 12 65 53 118 I x -80971.048 19.760 8406.120 0.167 B- -2891.991 22.320 117 913074.000 21.213 + 10 64 54 118 Xe x -78079.057 10.378 8374.981 0.088 B- -9669.689 16.442 117 916178.680 11.141 + 8 63 55 118 Cs IT -68409.367 12.753 8286.404 0.108 B- -6055# 196# 117 926559.519 13.690 + 6 62 56 118 Ba x -62354# 196# 8228# 2# B- -12794# 358# 117 933060# 210# + 4 61 57 118 La x -49560# 300# 8113# 3# B- * 117 946795# 322# +0 33 76 43 119 Tc x -40371# 503# 8128# 4# B- 12193# 585# 118 956660# 540# + 31 75 44 119 Ru x -52564# 298# 8224# 3# B- 10259# 298# 118 943570# 320# + 29 74 45 119 Rh x -62822.794 9.315 8303.394 0.078 B- 8585.108 12.440 118 932556.952 10.000 + 27 73 46 119 Pd x -71407.902 8.245 8368.964 0.069 B- 7237.863 16.855 118 923340.459 8.851 + 25 72 47 119 Ag -78645.765 14.703 8423.212 0.124 B- 5331.303 35.926 118 915570.293 15.783 + 23 71 48 119 Cd -83977.068 37.695 8461.438 0.317 B- 3722.212 38.088 118 909846.903 40.467 + 21 70 49 119 In -87699.281 7.307 8486.143 0.061 B- 2365.742 7.336 118 905850.944 7.844 + 19 69 50 119 Sn -90065.022 0.725 8499.449 0.006 B- -590.843 7.689 118 903311.216 0.778 + 17 68 51 119 Sb -89474.180 7.701 8487.910 0.065 B- -2293.000 2.000 118 903945.512 8.267 + 15 67 52 119 Te - -87181.180 7.957 8462.066 0.067 B- -3415.650 29.055 118 906407.148 8.541 + 13 66 53 119 I x -83765.530 27.945 8426.789 0.235 B- -4971.117 29.810 118 910074.000 30.000 + 11 65 54 119 Xe x -78794.413 10.378 8378.441 0.087 B- -6489.361 17.379 118 915410.713 11.141 + 9 64 55 119 Cs IT -72305.051 13.940 8317.334 0.117 B- -7714.965 200.754 118 922377.330 14.965 + 7 63 56 119 Ba ep -64590.086 200.269 8245.928 1.683 B- -9801# 361# 118 930659.686 214.997 + 5 62 57 119 La x -54790# 300# 8157# 3# B- -10849# 583# 118 941181# 322# + 3 61 58 119 Ce x -43940# 500# 8059# 4# B- * 118 952828# 537# +0 34 77 43 120 Tc x -35518# 503# 8087# 4# B- 14494# 643# 119 961870# 540# + 32 76 44 120 Ru x -50012# 401# 8201# 3# B- 8803# 446# 119 946310# 430# + 30 75 45 120 Rh x -58815# 196# 8268# 2# B- 11466# 196# 119 936860# 210# + 28 74 46 120 Pd -70280.050 2.291 8357.085 0.019 B- 5371.451 5.024 119 924551.258 2.459 + 26 73 47 120 Ag x -75651.502 4.471 8395.327 0.037 B- 8305.853 5.820 119 918784.767 4.800 + 24 72 48 120 Cd x -83957.354 3.726 8458.023 0.031 B- 1771.015 40.183 119 909868.067 4.000 + 22 71 49 120 In + -85728.369 40.010 8466.262 0.333 B- 5370.000 40.000 119 907966.805 42.952 + 20 70 50 120 Sn -91098.369 0.896 8504.492 0.007 B- -2680.608 7.140 119 902201.873 0.962 + 18 69 51 120 Sb - -88417.761 7.196 8475.635 0.060 B- 950.226 7.811 119 905079.624 7.725 + 16 68 52 120 Te -89367.987 3.085 8477.034 0.026 B- -5615.000 15.000 119 904059.514 3.311 + 14 67 53 120 I - -83752.987 15.314 8423.722 0.128 B- -1580.563 19.343 119 910087.465 16.440 + 12 66 54 120 Xe x -82172.423 11.817 8404.031 0.098 B- -8283.785 15.461 119 911784.270 12.686 + 10 65 55 120 Cs IT -73888.639 9.970 8328.480 0.083 B- -5000.000 300.000 119 920677.279 10.702 + 8 64 56 120 Ba - -68888.639 300.166 8280.294 2.501 B- -11319# 424# 119 926045.000 322.241 + 6 63 57 120 La x -57570# 300# 8179# 2# B- -7970# 583# 119 938196# 322# + 4 62 58 120 Ce x -49600# 500# 8107# 4# B- * 119 946752# 537# +0 35 78 43 121 Tc x -31780# 500# 8056# 4# B- 13267# 641# 120 965883# 537# + 33 77 44 121 Ru x -45047# 401# 8159# 3# B- 11203# 738# 120 951640# 430# + 31 76 45 121 Rh x -56250.128 619.444 8245.239 5.119 B- 9932.201 619.453 120 939613.000 665.000 + 29 75 46 121 Pd x -66182.329 3.353 8320.858 0.028 B- 8220.492 12.565 120 928950.343 3.600 + 27 74 47 121 Ag x -74402.821 12.109 8382.330 0.100 B- 6671.005 12.264 120 920125.282 13.000 + 25 73 48 121 Cd x -81073.826 1.942 8430.996 0.016 B- 4762.148 27.483 120 912963.663 2.085 + 23 72 49 121 In +p -85835.974 27.414 8463.887 0.227 B- 3361.291 27.408 120 907851.286 29.430 + 21 71 50 121 Sn -89197.265 0.955 8485.201 0.008 B- 403.057 2.690 120 904242.792 1.025 + 19 70 51 121 Sb -89600.321 2.582 8482.066 0.021 B- -1054.819 25.767 120 903810.093 2.771 + 17 69 52 121 Te -88545.502 25.850 8466.883 0.214 B- -2294.053 26.047 120 904942.488 27.751 + 15 68 53 121 I -86251.449 5.356 8441.458 0.044 B- -3770.463 11.558 120 907405.255 5.749 + 13 67 54 121 Xe -82480.986 10.243 8403.832 0.085 B- -5378.654 13.979 120 911453.014 10.995 + 11 66 55 121 Cs -77102.331 14.290 8352.914 0.118 B- -6357.495 141.176 120 917227.238 15.340 + 9 65 56 121 Ba - -70744.837 141.898 8293.907 1.173 B- -8555# 332# 120 924052.289 152.333 + 7 64 57 121 La x -62190# 300# 8217# 2# B- -9500# 500# 120 933236# 322# + 5 63 58 121 Ce x -52690# 401# 8132# 3# B- -11268# 641# 120 943435# 430# + 3 62 59 121 Pr -p -41422# 500# 8032# 4# B- * 120 955532# 537# +0 34 78 44 122 Ru x -42150# 500# 8135# 4# B- 9930# 583# 121 954750# 537# + 32 77 45 122 Rh x -52080# 300# 8210# 2# B- 12536# 301# 121 944090# 322# + 30 76 46 122 Pd x -64616.161 19.561 8305.975 0.160 B- 6489.948 42.909 121 930631.694 21.000 + 28 75 47 122 Ag x -71106.108 38.191 8352.758 0.313 B- 9506.265 38.260 121 923664.448 41.000 + 26 74 48 122 Cd -80612.374 2.299 8424.266 0.019 B- 2960.368 50.110 121 913459.052 2.468 + 24 73 49 122 In + -83572.741 50.057 8442.118 0.410 B- 6368.592 50.000 121 910280.966 53.738 + 22 72 50 122 Sn -89941.333 2.395 8487.907 0.020 B- -1605.963 3.384 121 903444.001 2.570 + 20 71 51 122 Sb -88335.370 2.578 8468.331 0.021 B- 1979.089 2.127 121 905168.074 2.768 + 18 70 52 122 Te -90314.460 1.507 8478.140 0.012 B- -4234.000 5.000 121 903043.434 1.617 + 16 69 53 122 I - -86080.460 5.222 8437.023 0.043 B- -725.483 12.277 121 907588.820 5.606 + 14 68 54 122 Xe x -85354.977 11.111 8424.664 0.091 B- -7210.218 35.472 121 908367.658 11.928 + 12 67 55 122 Cs -78144.759 33.687 8359.151 0.276 B- -3535.815 43.769 121 916108.145 36.164 + 10 66 56 122 Ba x -74608.944 27.945 8323.756 0.229 B- -10066# 299# 121 919904.000 30.000 + 8 65 57 122 La x -64543# 298# 8235# 2# B- -6669# 499# 121 930710# 320# + 6 64 58 122 Ce x -57874# 401# 8174# 3# B- -13094# 641# 121 937870# 430# + 4 63 59 122 Pr x -44780# 500# 8060# 4# B- * 121 951927# 537# +0 35 79 44 123 Ru x -37080# 500# 8093# 4# B- 12280# 640# 122 960193# 537# + 33 78 45 123 Rh x -49360# 400# 8186# 3# B- 11070# 885# 122 947010# 429# + 31 77 46 123 Pd x -60429.742 789.441 8270.031 6.418 B- 9118.336 790.039 122 935126.000 847.500 + 29 76 47 123 Ag x -69548.078 30.739 8337.803 0.250 B- 7866.103 30.857 122 925337.062 33.000 + 27 75 48 123 Cd -77414.181 2.696 8395.395 0.022 B- 6016.172 19.893 122 916892.453 2.894 + 25 74 49 123 In -83430.353 19.827 8437.946 0.161 B- 4385.828 19.839 122 910433.826 21.285 + 23 73 50 123 Sn -87816.181 2.416 8467.243 0.020 B- 1407.888 2.662 122 905725.446 2.594 + 21 72 51 123 Sb -89224.069 1.506 8472.328 0.012 B- -51.913 0.066 122 904214.016 1.616 + 19 71 52 123 Te -89172.156 1.505 8465.546 0.012 B- -1228.429 3.445 122 904269.747 1.615 + 17 70 53 123 I -87943.727 3.740 8449.198 0.030 B- -2695.027 9.690 122 905588.520 4.014 + 15 69 54 123 Xe -85248.701 9.537 8420.927 0.078 B- -4205.055 15.414 122 908481.750 10.238 + 13 68 55 123 Cs x -81043.646 12.109 8380.379 0.098 B- -5388.693 17.125 122 912996.062 13.000 + 11 67 56 123 Ba x -75654.953 12.109 8330.208 0.098 B- -7004# 196# 122 918781.062 13.000 + 9 66 57 123 La x -68651# 196# 8267# 2# B- -8365# 357# 122 926300# 210# + 7 65 58 123 Ce x -60286# 298# 8193# 2# B- -10056# 499# 122 935280# 320# + 5 64 59 123 Pr x -50230# 400# 8104# 3# B- * 122 946076# 429# +0 36 80 44 124 Ru x -33960# 600# 8068# 5# B- 10929# 721# 123 963542# 644# + 34 79 45 124 Rh x -44890# 400# 8149# 3# B- 13500# 499# 123 951809# 429# + 32 78 46 124 Pd x -58390# 298# 8252# 2# B- 7810# 390# 123 937316# 320# + 30 77 47 124 Ag x -66200.134 251.503 8308.655 2.028 B- 10501.538 251.521 123 928931.229 270.000 + 28 76 48 124 Cd -76701.672 2.995 8387.035 0.024 B- 4168.529 30.539 123 917657.363 3.215 + 26 75 49 124 In -80870.201 30.572 8414.343 0.247 B- 7363.992 30.576 123 913182.263 32.820 + 24 74 50 124 Sn -88234.193 1.014 8467.421 0.008 B- -613.944 1.513 123 905276.692 1.088 + 22 73 51 124 Sb -n -87620.248 1.507 8456.160 0.012 B- 2905.073 0.132 123 905935.789 1.618 + 20 72 52 124 Te -90525.321 1.502 8473.279 0.012 B- -3159.587 1.859 123 902817.064 1.612 + 18 71 53 124 I - -87365.734 2.390 8441.489 0.019 B- 295.686 2.846 123 906209.021 2.566 + 16 70 54 124 Xe -87661.421 1.793 8437.565 0.014 B- -5930.086 8.495 123 905891.588 1.924 + 14 69 55 124 Cs x -81731.334 8.304 8383.432 0.067 B- -2641.559 15.004 123 912257.798 8.914 + 12 68 56 124 Ba x -79089.775 12.497 8355.820 0.101 B- -8831.165 58.030 123 915093.629 13.416 + 10 67 57 124 La x -70258.610 56.669 8278.292 0.457 B- -5343# 303# 123 924574.275 60.836 + 8 66 58 124 Ce x -64916# 298# 8229# 2# B- -11765# 499# 123 930310# 320# + 6 65 59 124 Pr x -53151# 401# 8128# 3# B- -8626# 643# 123 942940# 430# + 4 64 60 124 Nd x -44525# 503# 8052# 4# B- * 123 952200# 540# +0 35 80 45 125 Rh x -42000# 500# 8126# 4# B- 12120# 640# 124 954911# 537# + 33 79 46 125 Pd x -54120# 400# 8216# 3# B- 10400# 589# 124 941900# 429# + 31 78 47 125 Ag x -64519.932 433.145 8293.314 3.465 B- 8828.163 433.154 124 930735.000 465.000 + 29 77 48 125 Cd -73348.095 2.885 8357.681 0.023 B- 7128.710 27.119 124 921257.577 3.097 + 27 76 49 125 In -80476.805 27.023 8408.452 0.216 B- 5419.571 27.011 124 913604.591 29.010 + 25 75 50 125 Sn -85896.376 1.033 8445.550 0.008 B- 2359.899 2.610 124 907786.442 1.109 + 23 74 51 125 Sb + -88256.274 2.599 8458.170 0.021 B- 766.700 2.121 124 905252.987 2.790 + 21 73 52 125 Te -89022.974 1.502 8458.045 0.012 B- -185.770 0.060 124 904429.900 1.612 + 19 72 53 125 I - -88837.204 1.504 8450.300 0.012 B- -1643.824 2.192 124 904629.333 1.614 + 17 71 54 125 Xe -87193.381 1.836 8430.890 0.015 B- -3105.430 7.831 124 906394.050 1.971 + 15 70 55 125 Cs -84087.950 7.744 8399.788 0.062 B- -4418.985 13.446 124 909727.867 8.313 + 13 69 56 125 Ba -79668.965 10.992 8358.178 0.088 B- -5909.481 27.631 124 914471.843 11.800 + 11 68 57 125 La -73759.484 25.997 8304.643 0.208 B- -7102# 197# 124 920815.932 27.909 + 9 67 58 125 Ce x -66658# 196# 8242# 2# B- -8718# 358# 124 928440# 210# + 7 66 59 125 Pr x -57940# 300# 8166# 2# B- -10341# 500# 124 937799# 322# + 5 65 60 125 Nd x -47599# 401# 8077# 3# B- * 124 948900# 430# +0 36 81 45 126 Rh x -37300# 500# 8088# 4# B- 14560# 640# 125 959957# 537# + 34 80 46 126 Pd x -51860# 400# 8197# 3# B- 8820# 447# 125 944326# 429# + 32 79 47 126 Ag x -60680# 200# 8261# 2# B- 11576# 200# 125 934857# 215# + 30 78 48 126 Cd -72256.802 2.476 8346.747 0.020 B- 5516.106 26.908 125 922429.127 2.658 + 28 77 49 126 In -77772.908 26.921 8384.317 0.214 B- 8242.332 27.078 125 916507.344 28.901 + 26 76 50 126 Sn -86015.240 10.447 8443.523 0.083 B- 378.000 30.000 125 907658.836 11.215 + 24 75 51 126 Sb - -86393.240 31.767 8440.314 0.252 B- 3672.108 31.787 125 907253.036 34.103 + 22 74 52 126 Te -90065.348 1.504 8463.248 0.012 B- -2154.031 3.677 125 903310.866 1.614 + 20 73 53 126 I -87911.318 3.809 8439.944 0.030 B- 1235.644 5.173 125 905623.313 4.089 + 18 72 54 126 Xe -89146.962 3.500 8443.541 0.028 B- -4796.133 10.671 125 904296.794 3.757 + 16 71 55 126 Cs -84350.829 10.401 8399.268 0.083 B- -1680.927 16.259 125 909445.655 11.166 + 14 70 56 126 Ba x -82669.902 12.497 8379.718 0.099 B- -7696.435 91.366 125 911250.204 13.416 + 12 69 57 126 La x -74973.468 90.508 8312.426 0.718 B- -4152.910 94.723 125 919512.667 97.163 + 10 68 58 126 Ce x -70820.558 27.945 8273.257 0.222 B- -10497# 198# 125 923971.000 30.000 + 8 67 59 126 Pr x -60324# 196# 8184# 2# B- -7331# 357# 125 935240# 210# + 6 66 60 126 Nd x -52993# 298# 8119# 2# B- -13643# 582# 125 943110# 320# + 4 65 61 126 Pm x -39350# 500# 8005# 4# B- * 125 957756# 537# +0 37 82 45 127 Rh x -34030# 600# 8062# 5# B- 13150# 781# 126 963467# 644# + 35 81 46 127 Pd x -47180# 500# 8159# 4# B- 11260# 539# 126 949350# 537# + 33 80 47 127 Ag x -58440# 200# 8242# 2# B- 10307# 201# 126 937262# 215# + 31 79 48 127 Cd x -68747.402 12.109 8316.945 0.095 B- 8148.782 24.378 126 926196.624 13.000 + 29 78 49 127 In -76896.184 21.157 8374.949 0.167 B- 6574.619 19.098 126 917448.546 22.713 + 27 77 50 127 Sn -83470.803 10.057 8420.557 0.079 B- 3228.674 10.875 126 910390.401 10.796 + 25 76 51 127 Sb -86699.477 5.126 8439.820 0.040 B- 1582.201 4.913 126 906924.277 5.502 + 23 75 52 127 Te -88281.678 1.514 8446.118 0.012 B- 702.231 3.575 126 905225.714 1.625 + 21 74 53 127 I -88983.909 3.647 8445.487 0.029 B- -662.349 2.044 126 904471.838 3.915 + 19 73 54 127 Xe -88321.560 4.110 8434.111 0.032 B- -2081.406 6.421 126 905182.899 4.412 + 17 72 55 127 Cs -86240.154 5.578 8411.562 0.044 B- -3422.210 12.653 126 907417.381 5.988 + 15 71 56 127 Ba -82817.944 11.357 8378.455 0.089 B- -4921.836 27.740 126 911091.275 12.192 + 13 70 57 127 La -77896.108 26.000 8333.540 0.205 B- -5916.772 38.857 126 916375.084 27.912 + 11 69 58 127 Ce x -71979.336 28.876 8280.791 0.227 B- -7436# 198# 126 922727.000 31.000 + 9 68 59 127 Pr x -64543# 196# 8216# 2# B- -9008# 357# 126 930710# 210# + 7 67 60 127 Nd x -55536# 298# 8139# 2# B- -10749# 499# 126 940380# 320# + 5 66 61 127 Pm x -44786# 401# 8048# 3# B- * 126 951920# 430# +0 36 82 46 128 Pd x -44490# 500# 8138# 4# B- 10130# 583# 127 952238# 537# + 34 81 47 128 Ag x -54620# 300# 8211# 2# B- 12622# 300# 127 941363# 322# + 32 80 48 128 Cd -67241.890 7.244 8303.264 0.057 B- 6904.051 153.554 127 927812.857 7.776 + 30 79 49 128 In -74145.941 153.479 8351.090 1.199 B- 9216.067 153.027 127 920401.053 164.766 + 28 78 50 128 Sn -83362.008 17.660 8416.979 0.138 B- 1268.278 13.796 127 910507.197 18.958 + 26 77 51 128 Sb IT -84630.286 19.119 8420.775 0.149 B- 4363.429 19.117 127 909145.645 20.525 + 24 76 52 128 Te -88993.716 0.866 8448.752 0.007 B- -1254.992 3.714 127 904461.311 0.929 + 22 75 53 128 I -87738.724 3.647 8432.836 0.028 B- 2121.575 3.748 127 905808.600 3.915 + 20 74 54 128 Xe -89860.298 1.061 8443.298 0.008 B- -3928.717 5.380 127 903530.996 1.138 + 18 73 55 128 Cs -85931.581 5.443 8406.493 0.043 B- -553.084 7.525 127 907748.648 5.843 + 16 72 56 128 Ba -85378.497 5.195 8396.060 0.041 B- -6753.066 54.695 127 908342.408 5.577 + 14 71 57 128 La x -78625.431 54.448 8337.190 0.425 B- -3091.513 61.200 127 915592.123 58.452 + 12 70 58 128 Ce x -75533.917 27.945 8306.925 0.218 B- -9203.161 40.859 127 918911.000 30.000 + 10 69 59 128 Pr x -66330.757 29.808 8228.913 0.233 B- -6017# 198# 127 928791.000 32.000 + 8 68 60 128 Nd x -60314# 196# 8176# 2# B- -12529# 357# 127 935250# 210# + 6 67 61 128 Pm x -47786# 298# 8072# 2# B- -9116# 582# 127 948700# 320# + 4 66 62 128 Sm x -38670# 500# 7994# 4# B- * 127 958486# 537# +0 37 83 46 129 Pd x -37610# 600# 8084# 5# B- 14370# 721# 128 959624# 644# + 35 82 47 129 Ag x -51980# 400# 8189# 3# B- 11078# 400# 128 944197# 429# + 33 81 48 129 Cd x -63058.046 16.767 8269.034 0.130 B- 9779.674 16.982 128 932304.399 18.000 + 31 80 49 129 In -72837.720 2.693 8338.780 0.021 B- 7753.183 17.302 128 921805.486 2.891 + 29 79 50 129 Sn -80590.903 17.277 8392.818 0.134 B- 4038.404 27.372 128 913482.102 18.547 + 27 78 51 129 Sb + -84629.307 21.231 8418.058 0.165 B- 2375.500 21.213 128 909146.696 22.792 + 25 77 52 129 Te -87004.807 0.869 8430.409 0.007 B- 1502.318 3.142 128 906596.492 0.933 + 23 76 53 129 I -88507.125 3.168 8435.990 0.025 B- 188.934 3.168 128 904983.687 3.401 + 21 75 54 129 Xe -88696.05896 0.00537 8431.390 0.000 B- -1196.813 4.555 128 904780.85892 0.00576 + 19 74 55 129 Cs -87499.246 4.555 8416.047 0.035 B- -2436.048 10.623 128 906065.690 4.889 + 17 73 56 129 Ba -85063.198 10.577 8391.098 0.082 B- -3738.625 21.639 128 908680.896 11.354 + 15 72 57 129 La -81324.573 21.351 8356.052 0.166 B- -5037.077 35.168 128 912694.475 22.920 + 13 71 58 129 Ce x -76287.496 27.945 8310.940 0.217 B- -6513.938 40.859 128 918102.000 30.000 + 11 70 59 129 Pr x -69773.558 29.808 8254.380 0.231 B- -7459# 204# 128 925095.000 32.000 + 9 69 60 129 Nd ep -62315# 202# 8190# 2# B- -9434# 360# 128 933102# 217# + 7 68 61 129 Pm x -52881# 298# 8111# 2# B- -10881# 582# 128 943230# 320# + 5 67 62 129 Sm x -42000# 500# 8021# 4# B- * 128 954911# 537# +0 36 83 47 130 Ag -nn -45697# 500# 8140# 4# B- 15420# 500# 129 950942# 537# + 34 82 48 130 Cd x -61117.589 22.356 8252.586 0.172 B- 8765.617 44.128 129 934387.566 24.000 + 32 81 49 130 In + -69883.206 38.046 8313.996 0.293 B- 10249.000 38.000 129 924977.288 40.844 + 30 80 50 130 Sn -80132.206 1.873 8386.816 0.014 B- 2153.470 14.113 129 913974.533 2.010 + 28 79 51 130 Sb -82285.676 14.212 8397.363 0.109 B- 5067.273 14.212 129 911662.688 15.257 + 26 78 52 130 Te -87352.949 0.011 8430.324 0.000 B- -416.811 3.168 129 906222.747 0.012 + 24 77 53 130 I -n -86936.138 3.168 8421.100 0.024 B- 2944.325 3.168 129 906670.211 3.401 + 22 76 54 130 Xe -89880.463 0.009 8437.731 0.000 B- -2980.720 8.357 129 903509.349 0.010 + 20 75 55 130 Cs -86899.743 8.357 8408.784 0.064 B- 361.801 8.738 129 906709.283 8.971 + 18 74 56 130 Ba -87261.544 2.553 8405.549 0.020 B- -5634.178 26.071 129 906320.874 2.741 + 16 73 57 130 La x -81627.366 25.946 8356.191 0.200 B- -2204.461 38.133 129 912369.413 27.854 + 14 72 58 130 Ce x -79422.905 27.945 8333.216 0.215 B- -8247.448 70.085 129 914736.000 30.000 + 12 71 59 130 Pr x -71175.457 64.273 8263.756 0.494 B- -4579.225 70.085 129 923590.000 69.000 + 10 70 60 130 Nd x -66596.232 27.945 8222.513 0.215 B- -11200# 198# 129 928506.000 30.000 + 8 69 61 130 Pm x -55396# 196# 8130# 2# B- -7890# 446# 129 940530# 210# + 6 68 62 130 Sm x -47506# 401# 8064# 3# B- -13823# 641# 129 949000# 430# + 4 67 63 130 Eu -p -33683# 500# 7951# 4# B- * 129 963840# 537# +0 37 84 47 131 Ag x -40380# 500# 8099# 4# B- 14839# 511# 130 956650# 537# + 35 83 48 131 Cd x -55218.965 102.464 8206.175 0.782 B- 12806.066 102.500 130 940720.000 110.000 + 33 82 49 131 In x -68025.030 2.701 8297.959 0.021 B- 9239.541 4.518 130 926972.122 2.900 + 31 81 50 131 Sn -77264.571 3.621 8362.517 0.028 B- 4716.830 3.962 130 917053.066 3.887 + 29 80 51 131 Sb -81981.401 2.084 8392.552 0.016 B- 3229.611 2.085 130 911989.341 2.236 + 27 79 52 131 Te -n -85211.012 0.061 8411.233 0.001 B- 2231.699 0.608 130 908522.211 0.065 + 25 78 53 131 I + -87442.710 0.605 8422.297 0.005 B- 970.848 0.605 130 906126.384 0.649 + 23 77 54 131 Xe -88413.558 0.009 8423.736 0.000 B- -354.772 4.974 130 905084.136 0.009 + 21 76 55 131 Cs -88058.786 4.974 8415.056 0.038 B- -1375.055 5.279 130 905464.999 5.340 + 19 75 56 131 Ba -86683.731 2.569 8398.587 0.020 B- -2914.475 28.063 130 906941.181 2.757 + 17 74 57 131 La x -83769.256 27.945 8370.367 0.213 B- -4060.816 43.092 130 910070.000 30.000 + 15 73 58 131 Ce -79708.440 32.802 8333.396 0.250 B- -5407.784 55.446 130 914429.465 35.214 + 13 72 59 131 Pr -74300.656 46.995 8286.143 0.359 B- -6532.623 53.081 130 920234.960 50.451 + 11 71 60 131 Nd -67768.033 27.517 8230.304 0.210 B- -8108# 202# 130 927248.020 29.541 + 9 70 61 131 Pm x -59660# 200# 8162# 2# B- -9527# 448# 130 935952# 215# + 7 69 62 131 Sm x -50133# 401# 8084# 3# B- -10863# 566# 130 946180# 430# + 5 68 63 131 Eu -p -39270# 401# 7995# 3# B- * 130 957842# 430# +0 38 85 47 132 Ag x -33790# 500# 8049# 4# B- 16473# 537# 131 963725# 537# + 36 84 48 132 Cd x -50263# 196# 8168# 1# B- 12148# 205# 131 946040# 210# + 34 83 49 132 In + -62411.542 60.033 8253.715 0.455 B- 14135.000 60.000 131 932998.449 64.447 + 32 82 50 132 Sn -76546.542 1.976 8354.872 0.015 B- 3088.729 3.161 131 917823.902 2.121 + 30 81 51 132 Sb -79635.271 2.467 8372.344 0.019 B- 5552.915 4.271 131 914508.015 2.648 + 28 80 52 132 Te -85188.186 3.486 8408.485 0.026 B- 515.304 3.483 131 908546.716 3.742 + 26 79 53 132 I -85703.490 4.065 8406.462 0.031 B- 3575.472 4.065 131 907993.514 4.364 + 24 78 54 132 Xe -89278.96179 0.00515 8427.622 0.000 B- -2126.280 1.036 131 904155.08697 0.00553 + 22 77 55 132 Cs -87152.681 1.036 8405.587 0.008 B- 1282.336 1.478 131 906437.743 1.112 + 20 76 56 132 Ba -88435.017 1.054 8409.375 0.008 B- -4711.367 36.354 131 905061.098 1.131 + 18 75 57 132 La -83723.650 36.359 8367.756 0.275 B- -1252.754 41.718 131 910118.959 39.032 + 16 74 58 132 Ce -82470.896 20.442 8352.338 0.155 B- -7243.440 35.380 131 911463.846 21.945 + 14 73 59 132 Pr x -75227.456 28.876 8291.537 0.219 B- -3801.648 37.679 131 919240.000 31.000 + 12 72 60 132 Nd x -71425.807 24.205 8256.810 0.183 B- -9798# 151# 131 923321.237 25.985 + 10 71 61 132 Pm x -61628# 149# 8177# 1# B- -6548# 333# 131 933840# 160# + 8 70 62 132 Sm x -55079# 298# 8121# 2# B- -12879# 499# 131 940870# 320# + 6 69 63 132 Eu x -42200# 400# 8018# 3# B- * 131 954696# 429# +0 37 85 48 133 Cd x -43920# 298# 8119# 2# B- 13544# 357# 132 952850# 320# + 35 84 49 133 In x -57464# 196# 8215# 1# B- 13410# 196# 132 938310# 210# + 33 83 50 133 Sn -70873.880 1.904 8310.088 0.014 B- 8049.623 3.662 132 923913.756 2.044 + 31 82 51 133 Sb -78923.503 3.128 8364.729 0.024 B- 4013.619 3.518 132 915272.130 3.357 + 29 81 52 133 Te -82937.122 2.066 8389.025 0.016 B- 2921.139 6.751 132 910963.332 2.218 + 27 80 53 133 I ++ -85858.260 6.427 8405.106 0.048 B- 1785.311 6.861 132 907827.361 6.900 + 25 79 54 133 Xe + -87643.571 2.400 8412.647 0.018 B- 427.360 2.400 132 905910.750 2.576 + 23 78 55 133 Cs -88070.931 0.008 8409.978 0.000 B- -517.319 0.992 132 905451.961 0.008 + 21 77 56 133 Ba -87553.613 0.992 8400.206 0.007 B- -2059.230 27.962 132 906007.325 1.065 + 19 76 57 133 La x -85494.383 27.945 8378.841 0.210 B- -3076.168 32.379 132 908218.000 30.000 + 17 75 58 133 Ce x -82418.214 16.354 8349.829 0.123 B- -4480.634 20.583 132 911520.402 17.557 + 15 74 59 133 Pr x -77937.581 12.497 8310.258 0.094 B- -5605.208 48.222 132 916330.561 13.416 + 13 73 60 133 Nd x -72332.372 46.575 8262.231 0.350 B- -6924.726 68.552 132 922348.000 50.000 + 11 72 61 133 Pm x -65407.646 50.301 8204.283 0.378 B- -8177# 302# 132 929782.000 54.000 + 9 71 62 133 Sm x -57231# 298# 8137# 2# B- -9995# 422# 132 938560# 320# + 7 70 63 133 Eu x -47236# 298# 8056# 2# B- -11376# 582# 132 949290# 320# + 5 69 64 133 Gd x -35860# 500# 7964# 4# B- * 132 961503# 537# +0 38 86 48 134 Cd x -38920# 400# 8082# 3# B- 12741# 499# 133 958218# 429# + 36 85 49 134 In x -51661# 298# 8171# 2# B- 14773# 298# 133 944540# 320# + 34 84 50 134 Sn x -66433.748 3.167 8275.171 0.024 B- 7586.794 3.597 133 928680.433 3.400 + 32 83 51 134 Sb x -74020.542 1.705 8325.950 0.013 B- 8513.200 3.233 133 920535.675 1.830 + 30 82 52 134 Te -82533.741 2.746 8383.643 0.020 B- 1509.687 4.933 133 911396.379 2.948 + 28 81 53 134 I -84043.429 4.857 8389.071 0.036 B- 4082.393 4.857 133 909775.663 5.213 + 26 80 54 134 Xe -88125.822 0.009 8413.699 0.000 B- -1234.667 0.018 133 905393.033 0.010 + 24 79 55 134 Cs -86891.154 0.016 8398.646 0.000 B- 2058.699 0.304 133 906718.503 0.017 + 22 78 56 134 Ba -88949.853 0.304 8408.171 0.002 B- -3731.204 19.932 133 904508.399 0.326 + 20 77 57 134 La x -85218.650 19.930 8374.488 0.149 B- -385.760 28.510 133 908514.011 21.395 + 18 76 58 134 Ce x -84832.889 20.387 8365.771 0.152 B- -6304.898 28.781 133 908928.142 21.886 + 16 75 59 134 Pr x -78527.991 20.316 8312.881 0.152 B- -2881.559 23.503 133 915696.729 21.810 + 14 74 60 134 Nd x -75646.432 11.817 8285.538 0.088 B- -8907.681 58.949 133 918790.210 12.686 + 12 73 61 134 Pm x -66738.751 57.753 8213.225 0.431 B- -5363# 204# 133 928353.000 62.000 + 10 72 62 134 Sm x -61376# 196# 8167# 1# B- -11448# 357# 133 934110# 210# + 8 71 63 134 Eu x -49928# 298# 8076# 2# B- -8626# 499# 133 946400# 320# + 6 70 64 134 Gd x -41302# 401# 8006# 3# B- * 133 955660# 430# +0 37 86 49 135 In x -46528# 401# 8132# 3# B- 14104# 401# 134 950050# 430# + 35 85 50 135 Sn x -60632.244 3.074 8230.687 0.023 B- 9058.079 4.052 134 934908.605 3.300 + 33 84 51 135 Sb -69690.323 2.640 8291.989 0.020 B- 8038.457 3.152 134 925184.357 2.834 + 31 83 52 135 Te -77728.780 1.722 8345.738 0.013 B- 6050.366 2.686 134 916554.718 1.848 + 29 82 53 135 I -83779.145 2.061 8384.760 0.015 B- 2634.005 3.868 134 910059.382 2.212 + 27 81 54 135 Xe -86413.151 3.720 8398.476 0.028 B- 1168.492 3.675 134 907231.661 3.993 + 25 80 55 135 Cs -87581.643 0.992 8401.336 0.007 B- 268.855 1.038 134 905977.234 1.064 + 23 79 56 135 Ba -87850.498 0.306 8397.533 0.002 B- -1207.181 9.430 134 905688.606 0.328 + 21 78 57 135 La -86643.317 9.434 8382.795 0.070 B- -2027.146 4.610 134 906984.568 10.127 + 19 77 58 135 Ce -84616.171 10.267 8361.984 0.076 B- -3680.310 15.655 134 909160.799 11.022 + 17 76 59 135 Pr x -80935.861 11.817 8328.928 0.088 B- -4722.252 22.484 134 913111.774 12.686 + 15 75 60 135 Nd x -76213.609 19.128 8288.153 0.142 B- -6161.534 77.838 134 918181.320 20.534 + 13 74 61 135 Pm x -70052.075 75.451 8236.717 0.559 B- -7194.860 172.054 134 924796.000 81.000 + 11 73 62 135 Sm x -62857.215 154.628 8177.626 1.145 B- -8709# 249# 134 932520.000 166.000 + 9 72 63 135 Eu x -54148# 196# 8107# 1# B- -9757# 445# 134 941870# 210# + 7 71 64 135 Gd x -44390# 400# 8029# 3# B- -11565# 566# 134 952345# 429# + 5 70 65 135 Tb -p -32825# 401# 7938# 3# B- * 134 964760# 430# +0 38 87 49 136 In x -40510# 400# 8087# 3# B- 15389# 499# 135 956511# 429# + 36 86 50 136 Sn x -55899# 298# 8195# 2# B- 8608# 298# 135 939990# 320# + 34 85 51 136 Sb -64506.880 5.830 8252.252 0.043 B- 9918.389 6.260 135 930749.011 6.258 + 32 84 52 136 Te -74425.269 2.281 8319.429 0.017 B- 5119.945 14.188 135 920101.182 2.448 + 30 83 53 136 I -79545.214 14.188 8351.323 0.104 B- 6883.945 14.188 135 914604.695 15.231 + 28 82 54 136 Xe -86429.159 0.007 8396.188 0.000 B- -90.462 1.882 135 907214.476 0.007 + 26 81 55 136 Cs + -86338.697 1.882 8389.770 0.014 B- 2548.224 1.857 135 907311.590 2.020 + 24 80 56 136 Ba -88886.921 0.306 8402.755 0.002 B- -2849.443 53.172 135 904575.959 0.328 + 22 79 57 136 La x -86037.479 53.171 8376.050 0.391 B- 470.893 53.173 135 907634.962 57.081 + 20 78 58 136 Ce -86508.372 0.408 8373.760 0.003 B- -5168.017 11.457 135 907129.438 0.438 + 18 77 59 136 Pr -81340.355 11.455 8330.008 0.084 B- -2141.068 16.458 135 912677.532 12.297 + 16 76 60 136 Nd x -79199.287 11.817 8308.512 0.087 B- -8029.371 70.076 135 914976.064 12.686 + 14 75 61 136 Pm x -71169.915 69.073 8243.720 0.508 B- -4359.026 70.194 135 923595.949 74.152 + 12 74 62 136 Sm x -66810.890 12.497 8205.916 0.092 B- -10567# 196# 135 928275.555 13.416 + 10 73 63 136 Eu x -56244# 196# 8122# 1# B- -7154# 357# 135 939620# 210# + 8 72 64 136 Gd x -49090# 298# 8064# 2# B- -12960# 582# 135 947300# 320# + 6 71 65 136 Tb x -36130# 500# 7963# 4# B- * 135 961213# 537# +0 39 88 49 137 In x -35040# 500# 8047# 4# B- 14748# 641# 136 962383# 537# + 37 87 50 137 Sn x 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13.041 8263.651 0.095 B- -6046.323 44.355 136 920479.522 14.000 + 13 75 62 137 Sm -68026.525 42.395 8213.806 0.309 B- -7880.630 42.620 136 926970.517 45.512 + 11 74 63 137 Eu x -60145.895 4.378 8150.573 0.032 B- -8932# 298# 136 935430.722 4.700 + 9 73 64 137 Gd x -51214# 298# 8080# 2# B- -10246# 499# 136 945020# 320# + 7 72 65 137 Tb x -40967# 401# 7999# 3# B- * 136 956020# 430# +0 38 88 50 138 Sn x -44861# 503# 8113# 4# B- 9360# 1177# 137 951840# 540# + 36 87 51 138 Sb x -54220.403 1064.232 8175.091 7.712 B- 11475.582 1064.239 137 941792.000 1142.500 + 34 86 52 138 Te -65695.985 3.787 8252.578 0.027 B- 6283.914 7.063 137 929472.454 4.065 + 32 85 53 138 I x -71979.900 5.962 8292.444 0.043 B- 7992.334 6.588 137 922726.394 6.400 + 30 84 54 138 Xe -79972.233 2.804 8344.690 0.020 B- 2914.704 9.579 137 914146.271 3.010 + 28 83 55 138 Cs -82886.937 9.159 8360.142 0.066 B- 5374.700 9.159 137 911017.207 9.832 + 26 82 56 138 Ba -88261.638 0.317 8393.420 0.002 B- -1742.458 3.191 137 905247.229 0.339 + 24 81 57 138 La -86519.180 3.188 8375.125 0.023 B- 1051.742 4.038 137 907117.834 3.422 + 22 80 58 138 Ce -87570.922 4.931 8377.077 0.036 B- -4437.000 10.000 137 905988.743 5.293 + 20 79 59 138 Pr - -83133.922 11.150 8339.255 0.081 B- -1115.612 16.090 137 910752.059 11.969 + 18 78 60 138 Nd -82018.310 11.601 8325.502 0.084 B- -7077.827 28.756 137 911949.717 12.454 + 16 77 61 138 Pm -74940.483 27.739 8268.544 0.201 B- -3442.721 30.151 137 919548.077 29.778 + 14 76 62 138 Sm x -71497.762 11.817 8237.928 0.086 B- -9748.093 30.341 137 923243.990 12.686 + 12 75 63 138 Eu x -61749.669 27.945 8161.620 0.202 B- -5949# 198# 137 933709.000 30.000 + 10 74 64 138 Gd x -55800# 196# 8113# 1# B- -12132# 357# 137 940096# 210# + 8 73 65 138 Tb x -43668# 298# 8019# 2# B- -8737# 585# 137 953120# 320# + 6 72 66 138 Dy x -34931# 503# 7950# 4# B- * 137 962500# 540# +0 39 89 50 139 Sn x -38440# 500# 8066# 4# B- 11348# 641# 138 958733# 537# + 37 88 51 139 Sb x -49788# 401# 8142# 3# B- 10417# 401# 138 946550# 430# + 35 87 52 139 Te x -60205.072 3.540 8211.771 0.025 B- 8265.882 5.345 138 935367.193 3.800 + 33 86 53 139 I x -68470.954 4.005 8265.609 0.029 B- 7173.622 4.542 138 926493.403 4.300 + 31 85 54 139 Xe x -75644.576 2.142 8311.590 0.015 B- 5056.346 3.801 138 918792.203 2.300 + 29 84 55 139 Cs + -80700.921 3.140 8342.338 0.023 B- 4212.829 3.123 138 913363.992 3.370 + 27 83 56 139 Ba -84913.751 0.319 8367.017 0.002 B- 2312.461 2.013 138 908841.334 0.342 + 25 82 57 139 La -87226.212 2.009 8378.025 0.014 B- -278.350 6.953 138 906358.804 2.156 + 23 81 58 139 Ce -86947.862 7.230 8370.395 0.052 B- -2129.064 2.996 138 906657.625 7.761 + 21 80 59 139 Pr -84818.798 7.809 8349.449 0.056 B- -2804.856 28.033 138 908943.270 8.383 + 19 79 60 139 Nd -82013.942 27.600 8323.642 0.199 B- -4513.460 25.927 138 911954.407 29.630 + 17 78 61 139 Pm -77500.481 13.593 8285.543 0.098 B- -5120.263 17.414 138 916799.806 14.592 + 15 77 62 139 Sm x -72380.219 10.884 8243.078 0.078 B- -6982.177 17.071 138 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5.930 + 23 93 70 163 Yb x -59299.094 15.364 8099.138 0.094 B- -4507.685 31.890 162 936339.800 16.493 + 21 92 71 163 Lu x -54791.409 27.945 8066.684 0.171 B- -5527.726 37.348 162 941179.000 30.000 + 19 91 72 163 Hf -49263.682 24.778 8027.972 0.152 B- -6729.054 45.416 162 947113.258 26.599 + 17 90 73 163 Ta -a -42534.629 38.061 7981.890 0.234 B- -7626.436 65.049 162 954337.195 40.860 + 15 89 74 163 W -a -34908.193 52.751 7930.302 0.324 B- -8905.949 55.912 162 962524.511 56.630 + 13 88 75 163 Re +a -26002.244 18.534 7870.865 0.114 B- -9810# 299# 162 972085.441 19.897 + 11 87 76 163 Os -a -16192# 298# 7806# 2# B- * 162 982617# 320# +0 42 103 61 164 Pm x -38870# 400# 8017# 2# B- 9232# 499# 163 958271# 429# + 40 102 62 164 Sm x -48102# 298# 8069# 2# B- 5279# 319# 163 948360# 320# + 38 101 63 164 Eu + -53381# 114# 8096# 1# B- 6393.000 50.000 163 942693# 122# + 36 100 64 164 Gd x -59774# 102# 8130# 1# B- 2304# 143# 163 935830# 110# + 34 99 65 164 Tb + -62077.965 100.003 8139.765 0.610 B- 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149.919 7833.291 0.914 B- -13078# 348# 163 978075.966 160.945 + 10 87 77 164 Ir -a -7344# 314# 7749# 2# B- * 163 992116# 338# +0 41 103 62 165 Sm x -43808# 401# 8043# 2# B- 6916# 424# 164 952970# 430# + 39 102 63 165 Eu + -50724# 138# 8080# 1# B- 5729.000 65.000 164 945546# 148# + 37 101 64 165 Gd + -56453# 121# 8110# 1# B- 4113.000 65.000 164 939395# 130# + 35 100 65 165 Tb x -60566# 102# 8130# 1# B- 3047# 102# 164 934980# 110# + 33 99 66 165 Dy -n -63612.606 0.769 8143.909 0.005 B- 1286.400 0.829 164 931709.054 0.825 + 31 98 67 165 Ho -64899.006 1.010 8146.964 0.006 B- -377.396 1.033 164 930328.047 1.084 + 29 97 68 165 Er -64521.610 0.964 8139.936 0.006 B- -1591.990 1.538 164 930733.198 1.034 + 27 96 69 165 Tm -62929.621 1.671 8125.546 0.010 B- -2634.239 26.592 164 932442.269 1.793 + 25 95 70 165 Yb -60295.382 26.539 8104.839 0.161 B- -3853.140 35.432 164 935270.241 28.490 + 23 94 71 165 Lu -56442.242 26.539 8076.745 0.161 B- -4806.734 38.539 164 939406.758 28.490 + 21 93 72 165 Hf x 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170 Ta x -50137.665 27.945 8030.296 0.164 B- -2846.832 30.904 169 946175.000 30.000 + 22 96 74 170 W -47290.832 13.195 8008.948 0.078 B- -8377.639 26.611 169 949231.200 14.165 + 20 95 75 170 Re -38913.193 23.109 7955.065 0.136 B- -4986.946 25.091 169 958224.966 24.808 + 18 94 76 170 Os -33926.247 9.773 7921.128 0.057 B- -10567# 89# 169 963578.673 10.491 + 16 93 77 170 Ir -a -23360# 89# 7854# 1# B- -7060# 89# 169 974922# 95# + 14 92 78 170 Pt -16299.193 18.247 7808.236 0.107 B- -12547# 197# 169 982502.095 19.588 + 12 91 79 170 Au -p -3752# 196# 7730# 1# B- * 169 995972# 211# +0 41 106 65 171 Tb x -44032# 503# 8031# 3# B- 6157# 585# 170 952730# 540# + 39 105 66 171 Dy x -50189# 298# 8063# 2# B- 4330# 670# 170 946120# 320# + 37 104 67 171 Ho + -54518.956 600.002 8083.608 3.509 B- 3200.000 600.000 170 941471.490 644.128 + 35 103 68 171 Er -57718.956 1.557 8097.746 0.009 B- 1491.342 1.256 170 938036.148 1.670 + 33 102 69 171 Tm -59210.298 0.972 8101.893 0.006 B- 96.512 0.972 170 936435.126 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-37243.842 12.782 7942.163 0.074 B- -9864.473 34.832 171 960017.088 13.721 + 18 95 77 172 Ir -a -27379.369 32.402 7880.263 0.188 B- -6272.449 34.023 171 970607.036 34.785 + 16 94 78 172 Pt -21106.920 10.377 7839.247 0.060 B- -11788.914 57.108 171 977340.788 11.139 + 14 93 79 172 Au -a -9318.006 56.158 7766.158 0.326 B- -8259.262 140.853 171 989996.708 60.287 + 12 92 80 172 Hg -a -1058.744 150.079 7713.591 0.873 B- * 171 998863.391 161.116 +0 41 107 66 173 Dy x -43939# 401# 8027# 2# B- 5412# 499# 172 952830# 430# + 39 106 67 173 Ho x -49351# 298# 8054# 2# B- 4304# 357# 172 947020# 320# + 37 105 68 173 Er x -53654# 196# 8074# 1# B- 2602# 196# 172 942400# 210# + 35 104 69 173 Tm p2n -56256.059 4.400 8084.463 0.025 B- 1295.166 4.400 172 939606.632 4.723 + 33 103 70 173 Yb -57551.225 0.011 8087.427 0.000 B- -670.310 1.567 172 938216.215 0.012 + 31 102 71 173 Lu -56880.916 1.567 8079.030 0.009 B- -1469.132 27.989 172 938935.822 1.682 + 29 101 72 173 Hf x -55411.784 27.945 8066.016 0.162 B- -3015.246 39.520 172 940513.000 30.000 + 27 100 73 173 Ta x -52396.538 27.945 8044.064 0.162 B- -3669.155 39.520 172 943750.000 30.000 + 25 99 74 173 W x -48727.383 27.945 8018.333 0.162 B- -5173.518 39.520 172 947689.000 30.000 + 23 98 75 173 Re x -43553.865 27.945 7983.906 0.162 B- -6115.608 31.697 172 953243.000 30.000 + 21 97 76 173 Os -37438.257 14.959 7944.033 0.086 B- -7169.822 18.583 172 959808.375 16.059 + 19 96 77 173 Ir -30268.435 11.026 7898.067 0.064 B- -8325.524 57.052 172 967505.496 11.837 + 17 95 78 173 Pt -a -21942.911 55.977 7845.420 0.324 B- -9110.471 60.421 172 976443.315 60.093 + 15 94 79 173 Au +a -12832.440 22.784 7788.237 0.132 B- -10123# 197# 172 986223.808 24.459 + 13 93 80 173 Hg -a -2710# 196# 7725# 1# B- * 172 997091# 210# +0 42 108 66 174 Dy x -41370# 503# 8012# 3# B- 4319# 585# 173 955587# 540# + 40 107 67 174 Ho x -45690# 298# 8033# 2# B- 6260# 422# 173 950950# 320# + 38 106 68 174 Er x -51949# 298# 8064# 2# B- 1915# 301# 173 944230# 320# + 36 105 69 174 Tm + -53864.512 44.721 8070.642 0.257 B- 3080.000 44.721 173 942174.064 48.010 + 34 104 70 174 Yb -56944.512 0.011 8083.847 0.000 B- -1374.317 1.567 173 938867.548 0.011 + 32 103 71 174 Lu -55570.195 1.567 8071.453 0.009 B- 274.286 2.169 173 940342.938 1.682 + 30 102 72 174 Hf -55844.481 2.259 8068.533 0.013 B- -4103.715 28.036 173 940048.480 2.424 + 28 101 73 174 Ta x -51740.766 27.945 8040.452 0.161 B- -1513.678 39.520 173 944454.000 30.000 + 26 100 74 174 W x -50227.088 27.945 8027.256 0.161 B- -6553.992 39.520 173 946079.000 30.000 + 24 99 75 174 Re x -43673.096 27.945 7985.094 0.161 B- -3677.681 29.767 173 953115.000 30.000 + 22 98 76 174 Os -39995.416 10.254 7959.461 0.059 B- -9131.924 26.395 173 957063.152 11.008 + 20 97 77 174 Ir -30863.492 24.322 7902.483 0.140 B- -5545.329 26.433 173 966866.676 26.111 + 18 96 78 174 Pt -a -25318.163 10.351 7866.117 0.059 B- -11083# 89# 173 972819.832 11.112 + 16 95 79 174 Au -a -14235# 89# 7798# 1# B- -7594# 89# 173 984718# 95# + 14 94 80 174 Hg -a -6641.009 19.211 7749.784 0.110 B- * 173 992870.583 20.624 +0 41 108 67 175 Ho x -43203# 401# 8019# 2# B- 5449# 566# 174 953620# 430# + 39 107 68 175 Er x -48652# 401# 8045# 2# B- 3659# 404# 174 947770# 430# + 37 106 69 175 Tm + -52310.549 50.000 8061.766 0.286 B- 2385.000 50.000 174 943842.313 53.677 + 35 105 70 175 Yb -54695.549 0.071 8070.925 0.000 B- 470.033 1.206 174 941281.910 0.076 + 33 104 71 175 Lu -55165.582 1.207 8069.140 0.007 B- -683.920 1.952 174 940777.308 1.295 + 31 103 72 175 Hf -54481.662 2.282 8060.761 0.013 B- -2073.015 28.038 174 941511.527 2.449 + 29 102 73 175 Ta x -52408.647 27.945 8044.445 0.160 B- -2775.852 39.520 174 943737.000 30.000 + 27 101 74 175 W x -49632.795 27.945 8024.112 0.160 B- -4344.488 39.520 174 946717.000 30.000 + 25 100 75 175 Re x -45288.307 27.945 7994.816 0.160 B- -5182.931 30.324 174 951381.000 30.000 + 23 99 76 175 Os -40105.376 11.775 7960.729 0.067 B- -6710.870 17.089 174 956945.105 12.640 + 21 98 77 175 Ir -33394.506 12.384 7917.910 0.071 B- -7681.040 22.001 174 964149.521 13.295 + 19 97 78 175 Pt -25713.466 18.185 7869.548 0.104 B- -8309.511 42.705 174 972395.457 19.522 + 17 96 79 175 Au -a -17403.955 38.640 7817.595 0.221 B- -9431.379 82.504 174 981316.085 41.481 + 15 95 80 175 Hg -a -7972.576 72.896 7759.231 0.417 B- * 174 991441.086 78.257 +0 42 109 67 176 Ho x -39290# 503# 7997# 3# B- 7340# 643# 175 957820# 540# + 40 108 68 176 Er x -46631# 401# 8034# 2# B- 2741# 413# 175 949940# 430# + 38 107 69 176 Tm + -49371.314 100.000 8045.121 0.568 B- 4120.000 100.000 175 946997.711 107.354 + 36 106 70 176 Yb -53491.314 0.015 8064.085 0.000 B- -109.078 1.212 175 942574.708 0.015 + 34 105 71 176 Lu -53382.236 1.212 8059.020 0.007 B- 1194.085 0.874 175 942691.809 1.301 + 32 104 72 176 Hf -54576.321 1.481 8061.359 0.008 B- -3210.948 30.775 175 941409.905 1.590 + 30 103 73 176 Ta x -51365.374 30.739 8038.670 0.175 B- -723.771 41.543 175 944857.000 33.000 + 28 102 74 176 W x -50641.603 27.945 8030.112 0.159 B- -5578.718 39.520 175 945634.000 30.000 + 26 101 75 176 Re x -45062.885 27.945 7993.970 0.159 B- -2964.945 39.520 175 951623.000 30.000 + 24 100 76 176 Os x -42097.940 27.945 7972.679 0.159 B- -8219.614 32.580 175 954806.000 30.000 + 22 99 77 176 Ir -33878.326 16.750 7921.531 0.095 B- -4944.459 21.035 175 963630.119 17.981 + 20 98 78 176 Pt -28933.867 12.724 7888.992 0.072 B- -10412.904 35.541 175 968938.214 13.660 + 18 97 79 176 Au -a -18520.963 33.185 7825.383 0.189 B- -6736.013 34.998 175 980116.927 35.625 + 16 96 80 176 Hg -11784.950 11.119 7782.665 0.063 B- -12366.544 75.904 175 987348.335 11.937 + 14 95 81 176 Tl -p 581.594 75.086 7707.955 0.427 B- * 176 000624.367 80.607 +0 41 109 68 177 Er x -42858# 503# 8013# 3# B- 4611# 585# 176 953990# 540# + 39 108 69 177 Tm x -47469# 298# 8035# 2# B- 3517# 298# 176 949040# 320# + 37 107 70 177 Yb -n -50986.397 0.220 8049.973 0.001 B- 1397.409 1.240 176 945263.848 0.236 + 35 106 71 177 Lu -52383.806 1.220 8053.448 0.007 B- 496.810 0.791 176 943763.668 1.310 + 33 105 72 177 Hf -52880.616 1.408 8051.835 0.008 B- -1166.000 3.000 176 943230.320 1.511 + 31 104 73 177 Ta - -51714.616 3.314 8040.827 0.019 B- -2012.890 28.141 176 944482.073 3.557 + 29 103 74 177 W x -49701.726 27.945 8025.035 0.158 B- -3432.555 39.520 176 946643.000 30.000 + 27 102 75 177 Re x -46269.170 27.945 8001.222 0.158 B- -4312.708 31.535 176 950328.000 30.000 + 25 101 76 177 Os +a -41956.462 14.613 7972.436 0.083 B- -5909.041 24.576 176 954957.882 15.687 + 23 100 77 177 Ir x -36047.421 19.760 7934.632 0.112 B- -6676.976 24.801 176 961301.500 21.213 + 21 99 78 177 Pt -29370.444 14.988 7892.489 0.085 B- -7825.341 18.297 176 968469.529 16.090 + 19 98 79 177 Au -21545.103 10.496 7843.858 0.059 B- -8762.561 75.786 176 976870.379 11.268 + 17 97 80 177 Hg -a -12782.542 75.056 7789.932 0.424 B- -9442.016 78.098 176 986277.376 80.575 + 15 96 81 177 Tl IT -3340.526 21.629 7732.167 0.122 B- * 176 996413.797 23.219 +0 42 110 68 178 Er x -40260# 596# 7999# 3# B- 3855# 718# 177 956779# 640# + 40 109 69 178 Tm x -44116# 401# 8016# 2# B- 5580# 401# 177 952640# 430# + 38 108 70 178 Yb -nn -49695.475 10.000 8042.841 0.056 B- 642.309 10.250 177 946649.710 10.735 + 36 107 71 178 Lu -50337.784 2.251 8042.054 0.013 B- 2097.451 2.057 177 945960.162 2.416 + 34 106 72 178 Hf -52435.236 1.412 8049.442 0.008 B- -1837# 52# 177 943708.456 1.516 + 32 105 73 178 Ta IT -50598# 52# 8035# 0# B- -191# 50# 177 945681# 56# + 30 104 74 178 W - -50406.936 15.199 8029.257 0.085 B- -4753.483 31.810 177 945885.925 16.316 + 28 103 75 178 Re x -45653.453 27.945 7998.157 0.157 B- -2109.183 31.093 177 950989.000 30.000 + 26 102 76 178 Os -43544.270 13.632 7981.912 0.077 B- -7292.386 24.006 177 953253.300 14.634 + 24 101 77 178 Ir x -36251.884 19.760 7936.549 0.111 B- -4254.365 22.207 177 961082.000 21.213 + 22 100 78 178 Pt -31997.519 10.133 7908.252 0.057 B- -9693.776 14.297 177 965649.248 10.878 + 20 99 79 178 Au -22303.743 10.086 7849.398 0.057 B- -5987.841 14.755 177 976055.945 10.827 + 18 98 80 178 Hg -a -16315.901 10.770 7811.363 0.061 B- -11526# 90# 177 982484.158 11.562 + 16 97 81 178 Tl -a -4790# 89# 7742# 1# B- -8365# 91# 177 994857# 96# + 14 96 82 178 Pb -a 3574.294 23.963 7690.830 0.135 B- * 178 003837.163 25.724 +0 41 110 69 179 Tm x -41601# 503# 8002# 3# B- 4937# 540# 178 955340# 540# + 39 109 70 179 Yb x -46537# 196# 8025# 1# B- 2521# 196# 178 950040# 210# + 37 108 71 179 Lu -49058.918 5.150 8035.073 0.029 B- 1403.989 5.067 178 947333.082 5.528 + 35 107 72 179 Hf -50462.907 1.413 8038.546 0.008 B- -105.584 0.409 178 945825.838 1.517 + 33 106 73 179 Ta -50357.323 1.463 8033.585 0.008 B- -1062.195 14.520 178 945939.187 1.571 + 31 105 74 179 W -49295.127 14.573 8023.281 0.081 B- -2710.847 26.802 178 947079.501 15.644 + 29 104 75 179 Re -46584.280 24.639 8003.766 0.138 B- -3564.785 29.656 178 949989.715 26.450 + 27 103 76 179 Os -43019.495 16.504 7979.480 0.092 B- -4937.781 19.180 178 953816.669 17.718 + 25 102 77 179 Ir -38081.714 9.771 7947.524 0.055 B- -5813.569 12.613 178 959117.596 10.489 + 23 101 78 179 Pt -32268.145 7.977 7910.675 0.045 B- -7279.578 14.157 178 965358.719 8.563 + 21 100 79 179 Au -24988.567 11.696 7865.637 0.065 B- -8060.433 29.669 178 973173.668 12.555 + 19 99 80 179 Hg -16928.134 27.267 7816.236 0.152 B- -8659.639 47.417 178 981826.899 29.272 + 17 98 81 179 Tl -a -8268.495 38.793 7763.487 0.217 B- -10319.134 84.963 178 991123.405 41.646 + 15 97 82 179 Pb -a 2050.639 75.590 7701.468 0.422 B- * 179 002201.452 81.149 +0 42 111 69 180 Tm x -37920# 503# 7982# 3# B- 6680# 585# 179 959291# 540# + 40 110 70 180 Yb x -44600# 298# 8015# 2# B- 2076# 306# 179 952120# 320# + 38 109 71 180 Lu + -46676.348 70.725 8022.038 0.393 B- 3103.000 70.711 179 949890.876 75.926 + 36 108 72 180 Hf -49779.348 1.419 8034.930 0.008 B- -846.471 2.269 179 946559.669 1.522 + 34 107 73 180 Ta +n -48932.877 1.939 8025.881 0.011 B- 703.238 2.281 179 947468.392 2.081 + 32 106 74 180 W -49636.115 1.436 8025.442 0.008 B- -3798.757 21.440 179 946713.435 1.542 + 30 105 75 180 Re x -45837.359 21.392 7999.991 0.119 B- -1479.549 26.950 179 950791.568 22.965 + 28 104 76 180 Os -44357.810 16.391 7987.425 0.091 B- -6380.284 27.200 179 952379.930 17.596 + 26 103 77 180 Ir x -37977.526 21.706 7947.633 0.121 B- -3541.649 24.323 179 959229.446 23.302 + 24 102 78 180 Pt +a -34435.877 10.974 7923.611 0.061 B- -8810.368 11.973 179 963031.563 11.781 + 22 101 79 180 Au -25625.509 4.786 7870.318 0.027 B- -5375.062 13.524 179 972489.883 5.137 + 20 100 80 180 Hg -20250.447 12.649 7836.110 0.070 B- -10863.800 61.329 179 978260.249 13.579 + 18 99 81 180 Tl -a -9386.647 60.010 7771.409 0.333 B- -7445.267 61.277 179 989923.019 64.423 + 16 98 82 180 Pb -a -1941.380 12.396 7725.700 0.069 B- * 179 997915.842 13.307 +0 43 112 69 181 Tm x -35170# 596# 7967# 3# B- 5918# 667# 180 962243# 640# + 41 111 70 181 Yb x -41088# 298# 7996# 2# B- 3709# 324# 180 955890# 320# + 39 110 71 181 Lu x -44797.410 125.752 8011.929 0.695 B- 2605.421 125.760 180 951908.000 135.000 + 37 109 72 181 Hf -n -47402.831 1.420 8022.002 0.008 B- 1035.480 1.834 180 949110.965 1.524 + 35 108 73 181 Ta -48438.311 1.403 8023.400 0.008 B- -204.493 1.854 180 947999.331 1.506 + 33 107 74 181 W -n -48233.818 1.445 8017.948 0.008 B- -1716.427 12.629 180 948218.863 1.551 + 31 106 75 181 Re 4n -46517.391 12.549 8004.143 0.069 B- -2967.428 28.275 180 950061.523 13.471 + 29 105 76 181 Os -43549.963 25.338 7983.426 0.140 B- -4086.935 25.876 180 953247.188 27.201 + 27 104 77 181 Ir +a -39463.028 5.245 7956.523 0.029 B- -5081.517 14.660 180 957634.694 5.631 + 25 103 78 181 Pt -34381.511 13.689 7924.126 0.076 B- -6510.375 24.216 180 963089.927 14.695 + 23 102 79 181 Au -a -27871.136 19.976 7883.835 0.110 B- -7210.000 25.212 180 970079.103 21.445 + 21 101 80 181 Hg -20661.136 15.382 7839.679 0.085 B- -7862.401 17.876 180 977819.357 16.513 + 19 100 81 181 Tl -12798.735 9.108 7791.918 0.050 B- -9681.385 75.959 180 986259.992 9.778 + 17 99 82 181 Pb -a -3117.350 75.411 7734.107 0.417 B- * 180 996653.386 80.957 +0 42 112 70 182 Yb x -38820# 401# 7984# 2# B- 3060# 446# 181 958325# 430# + 40 111 71 182 Lu x -41880# 196# 7996# 1# B- 4170# 196# 181 955040# 210# + 38 110 72 182 Hf -nn -46049.508 6.165 8014.837 0.034 B- 380.425 6.274 181 950563.816 6.618 + 36 109 73 182 Ta -46429.934 1.405 8012.628 0.008 B- 1816.126 1.399 181 950155.413 1.508 + 34 108 74 182 W -48246.060 0.738 8018.308 0.004 B- -2800.000 101.980 181 948205.721 0.791 + 32 107 75 182 Re IT -45446.060 101.983 7998.625 0.560 B- -836.955 104.276 181 951211.645 109.483 + 30 106 76 182 Os -44609.104 21.745 7989.728 0.119 B- -5557.426 30.207 181 952110.153 23.344 + 28 105 77 182 Ir -39051.679 20.967 7954.894 0.115 B- -2883.230 24.720 181 958076.296 22.509 + 26 104 78 182 Pt -36168.449 13.095 7934.754 0.072 B- -7867.680 24.123 181 961171.571 14.057 + 24 103 79 182 Au -a -28300.768 20.260 7887.226 0.111 B- -4723.846 22.501 181 969617.874 21.749 + 22 102 80 182 Hg -23576.922 9.790 7856.972 0.054 B- -10248.994 15.363 181 974689.132 10.510 + 20 101 81 182 Tl -a -13327.927 11.839 7796.360 0.065 B- -6502.815 16.927 181 985691.880 12.709 + 18 100 82 182 Pb -a -6825.112 12.098 7756.332 0.066 B- * 181 992672.940 12.987 +0 43 113 70 183 Yb x -35100# 401# 7964# 2# B- 4616# 408# 182 962319# 430# + 41 112 71 183 Lu x -39716.110 80.108 7984.812 0.438 B- 3566.687 85.553 182 957363.000 86.000 + 39 111 72 183 Hf + -43282.796 30.034 8000.027 0.164 B- 2010.000 30.000 182 953534.004 32.242 + 37 110 73 183 Ta -n -45292.796 1.419 8006.735 0.008 B- 1072.783 1.413 182 951376.180 1.523 + 35 109 74 183 W -46365.580 0.737 8008.322 0.004 B- -556.000 8.000 182 950224.500 0.790 + 33 108 75 183 Re - -45809.580 8.034 8001.009 0.044 B- -2145.537 50.405 182 950821.390 8.624 + 31 107 76 183 Os -43664.043 49.760 7985.010 0.272 B- -3460.732 52.733 182 953124.719 53.420 + 29 106 77 183 Ir -40203.311 24.398 7961.823 0.133 B- -4430.824 28.923 182 956839.968 26.191 + 27 105 78 183 Pt -35772.487 15.533 7933.336 0.085 B- -5581.004 18.168 182 961596.653 16.675 + 25 104 79 183 Au -30191.483 9.423 7898.564 0.051 B- -6386.809 11.789 182 967588.108 10.116 + 23 103 80 183 Hg -23804.674 7.084 7859.388 0.039 B- -7217.417 11.716 182 974444.629 7.604 + 21 102 81 183 Tl -16587.257 9.331 7815.673 0.051 B- -9012.038 29.657 182 982192.846 10.017 + 19 101 82 183 Pb -a -7575.218 28.151 7762.152 0.154 B- * 182 991867.668 30.221 +0 44 114 70 184 Yb x -32540# 503# 7951# 3# B- 3872# 585# 183 965067# 540# + 42 113 71 184 Lu x -36412# 298# 7967# 2# B- 5087# 301# 183 960910# 320# + 40 112 72 184 Hf + -41499.373 39.706 7990.722 0.216 B- 1340.000 30.000 183 955448.587 42.625 + 38 111 73 184 Ta + -42839.373 26.010 7993.752 0.141 B- 2866.000 26.000 183 954010.038 27.923 + 36 110 74 184 W -45705.373 0.731 8005.077 0.004 B- -1485.739 4.198 183 950933.260 0.785 + 34 109 75 184 Re -44219.634 4.275 7992.750 0.023 B- 32.898 4.140 183 952528.267 4.589 + 32 108 76 184 Os -44252.533 0.827 7988.677 0.005 B- -4641.682 27.957 183 952492.949 0.887 + 30 107 77 184 Ir x -39610.851 27.945 7959.198 0.152 B- -2276.608 31.997 183 957476.000 30.000 + 28 106 78 184 Pt -37334.243 15.584 7942.574 0.085 B- -7015.533 27.185 183 959920.039 16.730 + 26 105 79 184 Au -a -30318.710 22.275 7900.194 0.121 B- -3969.745 24.442 183 967451.524 23.912 + 24 104 80 184 Hg -26348.965 10.062 7874.367 0.055 B- -9465.723 14.200 183 971713.221 10.802 + 22 103 81 184 Tl -16883.242 10.020 7818.671 0.054 B- -5831.720 16.260 183 981875.093 10.757 + 20 102 82 184 Pb -11051.522 12.806 7782.725 0.070 B- -12114.590 79.153 183 988135.702 13.748 + 18 101 83 184 Bi -a 1063.068 78.110 7712.633 0.425 B- * 184 001141.250 83.854 +0 45 115 70 185 Yb x -28500# 503# 7929# 3# B- 5388# 585# 184 969404# 540# + 43 114 71 185 Lu x -33888# 298# 7954# 2# B- 4432# 305# 184 963620# 320# + 41 113 72 185 Hf x -38319.800 64.273 7973.970 0.347 B- 3074.492 65.815 184 958862.000 69.000 + 39 112 73 185 Ta + -41394.293 14.161 7986.360 0.077 B- 1993.500 14.142 184 955561.396 15.202 + 37 111 74 185 W -43387.793 0.733 7992.907 0.004 B- 431.234 0.661 184 953421.286 0.786 + 35 110 75 185 Re -43819.027 0.818 7991.009 0.004 B- -1013.147 0.419 184 952958.337 0.877 + 33 109 76 185 Os -42805.880 0.830 7981.304 0.004 B- -2470.326 27.957 184 954045.995 0.891 + 31 108 77 185 Ir x -40335.553 27.945 7963.722 0.151 B- -3647.414 38.055 184 956698.000 30.000 + 29 107 78 185 Pt -36688.140 25.832 7939.777 0.140 B- -4829.997 25.963 184 960613.659 27.731 + 27 106 79 185 Au x -31858.143 2.608 7909.440 0.014 B- -5674.477 13.886 184 965798.874 2.800 + 25 105 80 185 Hg -26183.666 13.639 7874.538 0.074 B- -6425.925 24.767 184 971890.676 14.641 + 23 104 81 185 Tl IT -19757.741 20.674 7835.575 0.112 B- -8216.521 26.249 184 978789.191 22.194 + 21 103 82 185 Pb -a -11541.220 16.175 7786.932 0.087 B- -9305# 83# 184 987609.989 17.364 + 19 102 83 185 Bi IT -2236# 81# 7732# 0# B- * 184 997600# 87# +0 44 115 71 186 Lu x -30210# 401# 7935# 2# B- 6214# 404# 185 967568# 430# + 42 114 72 186 Hf x -36424.210 51.232 7964.302 0.275 B- 2183.318 78.906 185 960897.000 55.000 + 40 113 73 186 Ta + -38607.528 60.012 7971.835 0.323 B- 3901.000 60.000 185 958553.111 64.425 + 38 112 74 186 W -42508.528 1.212 7988.601 0.007 B- -581.442 1.244 185 954365.215 1.300 + 36 111 75 186 Re -41927.086 0.826 7981.269 0.004 B- 1072.857 0.837 185 954989.419 0.886 + 34 110 76 186 Os -42999.943 0.761 7982.831 0.004 B- -3827.596 16.543 185 953837.660 0.816 + 32 109 77 186 Ir x -39172.346 16.526 7958.047 0.089 B- -1307.903 27.312 185 957946.754 17.740 + 30 108 78 186 Pt -37864.443 21.745 7946.809 0.117 B- -6149.591 30.207 185 959350.846 23.344 + 28 107 79 186 Au -31714.852 20.967 7909.540 0.113 B- -3175.756 23.987 185 965952.703 22.509 + 26 106 80 186 Hg -28539.097 11.650 7888.260 0.063 B- -8652.484 25.209 185 969362.017 12.507 + 24 105 81 186 Tl x -19886.613 22.356 7837.535 0.120 B- -5204.588 25.078 185 978650.841 24.000 + 22 104 82 186 Pb -a -14682.026 11.363 7805.347 0.061 B- -11535.814 20.329 185 984238.196 12.199 + 20 103 83 186 Bi -a -3146.212 16.857 7739.121 0.091 B- -7247.186 24.870 185 996622.402 18.096 + 18 102 84 186 Po -a 4100.974 18.286 7695.951 0.098 B- * 186 004402.577 19.630 +0 45 116 71 187 Lu x -27580# 401# 7922# 2# B- 5237# 499# 186 970392# 430# + 43 115 72 187 Hf x -32817# 298# 7946# 2# B- 4079# 303# 186 964770# 320# + 41 114 73 187 Ta x -36895.546 55.890 7963.212 0.299 B- 3008.424 55.903 186 960391.000 60.000 + 39 113 74 187 W -39903.970 1.212 7975.116 0.006 B- 1312.508 1.122 186 957161.323 1.300 + 37 112 75 187 Re -41216.478 0.736 7977.951 0.004 B- 2.467 0.002 186 955752.288 0.790 + 35 111 76 187 Os -41218.945 0.736 7973.780 0.004 B- -1669.572 27.955 186 955749.640 0.790 + 33 110 77 187 Ir x -39549.372 27.945 7960.668 0.149 B- -2864.323 36.868 186 957542.000 30.000 + 31 109 78 187 Pt -36685.050 24.048 7941.168 0.129 B- -3657.212 27.377 186 960616.976 25.816 + 29 108 79 187 Au -33027.838 22.308 7917.427 0.119 B- -4909.908 26.287 186 964543.155 23.948 + 27 107 80 187 Hg -28117.930 13.905 7886.987 0.074 B- -5673.343 16.067 186 969814.158 14.928 + 25 106 81 187 Tl -22444.587 8.048 7852.464 0.043 B- -7457.628 9.525 186 975904.743 8.640 + 23 105 82 187 Pb -14986.959 5.094 7808.400 0.027 B- -8603.688 11.227 186 983910.836 5.468 + 21 104 83 187 Bi -a -6383.271 10.005 7758.208 0.054 B- -9211.868 33.430 186 993147.276 10.740 + 19 103 84 187 Po -a 2828.597 31.898 7704.763 0.171 B- * 187 003036.624 34.243 +0 46 117 71 188 Lu x -23790# 503# 7902# 3# B- 7089# 585# 187 974460# 540# + 44 116 72 188 Hf x -30879# 298# 7936# 2# B- 2733# 303# 187 966850# 320# + 42 115 73 188 Ta x -33612.030 54.958 7946.321 0.292 B- 5055.781 55.045 187 963916.000 59.000 + 40 114 74 188 W + -38667.811 3.089 7969.052 0.016 B- 349.000 3.000 187 958488.395 3.316 + 38 113 75 188 Re -n -39016.811 0.738 7966.747 0.004 B- 2120.422 0.152 187 958113.728 0.791 + 36 112 76 188 Os -41137.233 0.734 7973.864 0.004 B- -2792.326 9.416 187 955837.361 0.787 + 34 111 77 188 Ir -38344.907 9.423 7954.850 0.050 B- -523.979 8.686 187 958835.046 10.116 + 32 110 78 188 Pt -37820.929 5.304 7947.902 0.028 B- -5449.621 5.953 187 959397.560 5.694 + 30 109 79 188 Au x -32371.308 2.701 7914.753 0.014 B- -2169.394 12.569 187 965247.969 2.900 + 28 108 80 188 Hg -30201.914 12.275 7899.052 0.065 B- -7865.513 32.325 187 967576.910 13.178 + 26 107 81 188 Tl x -22336.400 29.904 7853.053 0.159 B- -4521.198 31.734 187 976020.886 32.103 + 24 106 82 188 Pb -a -17815.202 10.622 7824.843 0.057 B- -10620.515 15.427 187 980874.592 11.403 + 22 105 83 188 Bi -a -7194.687 11.187 7764.189 0.060 B- -6650.374 22.892 187 992276.184 12.009 + 20 104 84 188 Po -a -544.313 19.973 7724.653 0.106 B- * 187 999415.655 21.441 +0 45 117 72 189 Hf x -27162# 298# 7917# 2# B- 4667# 357# 188 970840# 320# + 43 116 73 189 Ta x -31829# 196# 7938# 1# B- 3788# 200# 188 965830# 210# + 41 115 74 189 W x -35617.536 40.054 7953.454 0.212 B- 2361.507 40.883 188 961763.000 43.000 + 39 114 75 189 Re +p -37979.043 8.191 7961.809 0.043 B- 1007.702 8.167 188 959227.817 8.793 + 37 113 76 189 Os -38986.745 0.666 7963.002 0.004 B- -537.159 12.563 188 958146.005 0.715 + 35 112 77 189 Ir -38449.586 12.576 7956.020 0.067 B- -1980.238 13.636 188 958722.669 13.500 + 33 111 78 189 Pt -36469.348 10.090 7941.403 0.053 B- -2887.394 22.474 188 960848.542 10.832 + 31 110 79 189 Au x -33581.955 20.081 7921.987 0.106 B- -3955.554 37.401 188 963948.286 21.558 + 29 109 80 189 Hg -29626.401 31.553 7896.919 0.167 B- -5010.300 32.643 188 968194.748 33.873 + 27 108 81 189 Tl -24616.100 8.368 7866.270 0.044 B- -6772.066 16.364 188 973573.527 8.983 + 25 107 82 189 Pb -17844.035 14.062 7826.299 0.074 B- -7779.374 25.150 188 980843.639 15.096 + 23 106 83 189 Bi -a -10064.660 20.851 7780.999 0.110 B- -8642.656 30.354 188 989195.141 22.384 + 21 105 84 189 Po -a -1422.005 22.059 7731.131 0.117 B- * 188 998473.415 23.681 +0 46 118 72 190 Hf x -25030# 401# 7907# 2# B- 3483# 446# 189 973129# 430# + 44 117 73 190 Ta x -28513# 196# 7921# 1# B- 5869# 200# 189 969390# 210# + 42 116 74 190 W -34382.313 39.726 7947.573 0.209 B- 1253.517 63.522 189 963089.066 42.647 + 40 115 75 190 Re -35635.830 70.852 7950.053 0.373 B- 3071.941 70.854 189 961743.360 76.063 + 38 114 76 190 Os -38707.771 0.650 7962.104 0.003 B- -1954.227 1.213 189 958445.496 0.697 + 36 113 77 190 Ir +n -36753.544 1.370 7947.701 0.007 B- 552.906 1.282 189 960543.445 1.470 + 34 112 78 190 Pt -37306.450 0.657 7946.493 0.003 B- -4472.917 3.509 189 959949.876 0.704 + 32 111 79 190 Au x -32833.533 3.447 7918.834 0.018 B- -1462.836 16.276 189 964751.750 3.700 + 30 110 80 190 Hg -31370.697 15.907 7907.017 0.084 B- -6998.670 17.782 189 966322.169 17.076 + 28 109 81 190 Tl +a -24372.027 7.948 7866.064 0.042 B- -3955.382 14.825 189 973835.551 8.532 + 26 108 82 190 Pb -a -20416.645 12.514 7841.129 0.066 B- -9817.066 25.800 189 978081.828 13.434 + 24 107 83 190 Bi -a -10599.579 22.562 7785.342 0.119 B- -6035.742 26.275 189 988620.883 24.221 + 22 106 84 190 Po -a -4563.837 13.465 7749.458 0.071 B- * 189 995100.519 14.455 +0 45 118 73 191 Ta x -26492# 298# 7911# 2# B- 4684# 301# 190 971560# 320# + 43 117 74 191 W x -31176.173 41.917 7931.435 0.219 B- 3174.124 43.156 190 966531.000 45.000 + 41 116 75 191 Re +p -34350.296 10.265 7943.957 0.054 B- 2044.889 10.244 190 963123.437 11.019 + 39 115 76 191 Os -36395.185 0.659 7950.568 0.003 B- 313.570 1.141 190 960928.159 0.707 + 37 114 77 191 Ir -36708.756 1.311 7948.113 0.007 B- -1010.518 3.636 190 960591.527 1.406 + 35 113 78 191 Pt -35698.237 4.127 7938.727 0.022 B- -1900.333 6.426 190 961676.363 4.430 + 33 112 79 191 Au -33797.904 4.926 7924.681 0.026 B- -3206.008 22.710 190 963716.455 5.288 + 31 111 80 191 Hg -30591.896 22.280 7903.800 0.117 B- -4308.951 23.461 190 967158.247 23.918 + 29 110 81 191 Tl +a -26282.945 7.349 7877.144 0.038 B- -6051.827 37.978 190 971784.096 7.889 + 27 109 82 191 Pb x -20231.118 37.260 7841.363 0.195 B- -6991.772 38.005 190 978281.000 40.000 + 25 108 83 191 Bi -13239.347 7.487 7800.661 0.039 B- -8170.612 10.320 190 985786.975 8.037 + 23 107 84 191 Po -5068.735 7.103 7753.786 0.037 B- -8932.653 17.600 190 994558.488 7.624 + 21 106 85 191 At -a 3863.917 16.103 7702.923 0.084 B- * 191 004148.086 17.287 +0 46 119 73 192 Ta x -23064# 401# 7894# 2# B- 6586# 446# 191 975240# 430# + 44 118 74 192 W x -29649# 196# 7924# 1# B- 1939# 208# 191 968170# 210# + 42 117 75 192 Re x -31588.825 70.794 7930.238 0.369 B- 4293.366 70.831 191 966088.000 76.000 + 40 116 76 192 Os -35882.191 2.315 7948.525 0.012 B- -1046.630 2.397 191 961478.881 2.485 + 38 115 77 192 Ir -34835.561 1.314 7938.999 0.007 B- 1452.896 2.274 191 962602.485 1.410 + 36 114 78 192 Pt -36288.457 2.570 7942.491 0.013 B- -3516.341 15.617 191 961042.736 2.758 + 34 113 79 192 Au - -32772.116 15.827 7920.102 0.082 B- -760.563 22.178 191 964817.684 16.991 + 32 112 80 192 Hg x -32011.553 15.537 7912.066 0.081 B- -6139.307 35.277 191 965634.182 16.679 + 30 111 81 192 Tl x -25872.246 31.671 7876.016 0.165 B- -3316.226 34.348 191 972225.000 34.000 + 28 110 82 192 Pb -a -22556.020 13.295 7854.669 0.069 B- -9021.485 32.917 191 975785.115 14.273 + 26 109 83 192 Bi -a -13534.535 30.112 7803.608 0.157 B- -5463.873 32.096 191 985470.078 32.326 + 24 108 84 192 Po -a -8070.661 11.110 7771.075 0.058 B- -10996.516 30.008 191 991335.788 11.926 + 22 107 85 192 At -a 2925.854 27.876 7709.727 0.145 B- * 192 003141.034 29.926 +0 47 120 73 193 Ta x -20870# 401# 7884# 2# B- 5417# 446# 192 977595# 430# + 45 119 74 193 W x -26287# 196# 7908# 1# B- 3945# 199# 192 971780# 210# + 43 118 75 193 Re x -30231.638 39.123 7923.937 0.203 B- 3162.652 39.192 192 967545.000 42.000 + 41 117 76 193 Os -33394.289 2.321 7936.270 0.012 B- 1141.946 2.400 192 964149.753 2.491 + 39 116 77 193 Ir -34536.235 1.328 7938.133 0.007 B- -56.628 0.300 192 962923.824 1.425 + 37 115 78 193 Pt -34479.608 1.359 7933.786 0.007 B- -1074.787 8.768 192 962984.616 1.458 + 35 114 79 193 Au -33404.821 8.674 7924.164 0.045 B- -2342.642 14.370 192 964138.447 9.311 + 33 113 80 193 Hg -31062.179 15.505 7907.972 0.080 B- -3584.967 16.894 192 966653.377 16.645 + 31 112 81 193 Tl x -27477.212 6.707 7885.344 0.035 B- -5282.723 50.028 192 970501.997 7.200 + 29 111 82 193 Pb x -22194.490 49.577 7853.919 0.257 B- -6309.931 50.152 192 976173.234 53.222 + 27 110 83 193 Bi -15884.559 7.576 7817.171 0.039 B- -7559.241 16.387 192 982947.223 8.132 + 25 109 84 193 Po -a -8325.318 14.531 7773.950 0.075 B- -8257.998 26.059 192 991062.403 15.599 + 23 108 85 193 At -a -67.320 21.632 7727.109 0.112 B- -9110.231 33.144 192 999927.728 23.222 + 21 107 86 193 Rn -a 9042.911 25.112 7675.852 0.130 B- * 193 009707.964 26.958 +0 48 121 73 194 Ta x -17300# 503# 7866# 3# B- 7227# 585# 193 981428# 540# + 46 120 74 194 W x -24526# 298# 7899# 2# B- 2711# 357# 193 973670# 320# + 44 119 75 194 Re x -27237# 196# 7909# 1# B- 5198# 196# 193 970760# 210# + 42 118 76 194 Os + -32435.108 2.403 7932.022 0.012 B- 96.600 2.000 193 965179.477 2.579 + 40 117 77 194 Ir -n -32531.708 1.332 7928.487 0.007 B- 2228.362 1.257 193 965075.773 1.430 + 38 116 78 194 Pt -34760.070 0.496 7935.941 0.003 B- -2548.134 2.117 193 962683.527 0.532 + 36 115 79 194 Au +3n -32211.936 2.118 7918.774 0.011 B- -27.991 3.581 193 965419.062 2.273 + 34 114 80 194 Hg x -32183.945 2.888 7914.597 0.015 B- -5246.454 14.268 193 965449.111 3.100 + 32 113 81 194 Tl x -26937.491 13.972 7883.520 0.072 B- -2729.552 22.343 193 971081.411 15.000 + 30 112 82 194 Pb -24207.940 17.435 7865.418 0.090 B- -8179.128 18.498 193 974011.706 18.717 + 28 111 83 194 Bi +a -16028.811 6.178 7819.225 0.032 B- -5024.156 14.313 193 982792.362 6.632 + 26 110 84 194 Po -a -11004.655 12.911 7789.294 0.067 B- -10284.492 28.076 193 988186.015 13.860 + 24 109 85 194 At -a -720.163 24.931 7732.249 0.129 B- -6443.658 30.119 193 999226.872 26.764 + 22 108 86 194 Rn -a 5723.495 16.899 7695.001 0.087 B- * 194 006144.424 18.141 +0 47 121 74 195 W x -21010# 298# 7882# 2# B- 4569# 422# 194 977445# 320# + 45 120 75 195 Re x -25579# 298# 7902# 2# B- 3933# 303# 194 972540# 320# + 43 119 76 195 Os x -29511.593 55.890 7917.744 0.287 B- 2180.658 55.906 194 968318.000 60.000 + 41 118 77 195 Ir -n -31692.251 1.333 7924.915 0.007 B- 1101.598 1.264 194 965976.967 1.431 + 39 117 78 195 Pt -32793.849 0.503 7926.552 0.003 B- -226.817 1.000 194 964794.353 0.539 + 37 116 79 195 Au -32567.031 1.119 7921.377 0.006 B- -1553.638 23.156 194 965037.851 1.201 + 35 115 80 195 Hg -31013.393 23.142 7909.397 0.119 B- -2858.145 25.657 194 966705.751 24.843 + 33 114 81 195 Tl -28155.248 11.093 7890.728 0.057 B- -4447.555 21.106 194 969774.096 11.909 + 31 113 82 195 Pb -23707.693 17.960 7863.908 0.092 B- -5682.132 18.722 194 974548.743 19.280 + 29 112 83 195 Bi -18025.561 5.287 7830.757 0.027 B- -6969.303 37.737 194 980648.762 5.675 + 27 111 84 195 Po -a -11056.259 37.364 7791.005 0.192 B- -7585.964 38.571 194 988130.617 40.112 + 25 110 85 195 At -a -3470.295 9.573 7748.091 0.049 B- -8520.575 51.401 194 996274.485 10.276 + 23 109 86 195 Rn -a 5050.281 50.502 7700.383 0.259 B- * 195 005421.699 54.216 +0 48 122 74 196 W x -18880# 401# 7872# 2# B- 3662# 499# 195 979731# 430# + 46 121 75 196 Re x -22542# 298# 7887# 2# B- 5735# 301# 195 975800# 320# + 44 120 76 196 Os +pp -28277.105 40.055 7912.229 0.204 B- 1158.388 55.495 195 969643.277 43.000 + 42 119 77 196 Ir + -29435.493 38.414 7914.148 0.196 B- 3209.016 38.411 195 968399.696 41.239 + 40 118 78 196 Pt -32644.510 0.510 7926.529 0.003 B- -1505.803 2.960 195 964954.675 0.547 + 38 117 79 196 Au -31138.706 2.962 7914.855 0.015 B- 687.235 3.118 195 966571.221 3.179 + 36 116 80 196 Hg -31825.941 2.946 7914.369 0.015 B- -4329.349 12.463 195 965833.444 3.163 + 34 115 81 196 Tl x -27496.592 12.109 7888.289 0.062 B- -2148.280 14.356 195 970481.192 13.000 + 32 114 82 196 Pb -25348.312 7.710 7873.337 0.039 B- -7339.281 25.616 195 972787.466 8.277 + 30 113 83 196 Bi x -18009.031 24.428 7831.900 0.125 B- -4535.989 27.916 195 980666.509 26.224 + 28 112 84 196 Po -a -13473.042 13.512 7804.766 0.069 B- -9558.365 33.162 195 985536.094 14.506 + 26 111 85 196 At -a -3914.677 30.284 7752.007 0.155 B- -5885.668 33.540 195 995797.421 32.511 + 24 110 86 196 Rn -a 1970.991 14.417 7717.987 0.074 B- * 196 002115.945 15.476 +0 49 123 74 197 W x -15140# 401# 7854# 2# B- 5363# 499# 196 983747# 430# + 47 122 75 197 Re x -20502# 298# 7878# 2# B- 4807# 357# 196 977990# 320# + 45 121 76 197 Os x -25309# 196# 7898# 1# B- 2955# 197# 196 972830# 210# + 43 120 77 197 Ir +p -28264.105 20.110 7908.999 0.102 B- 2155.645 20.106 196 969657.233 21.588 + 41 119 78 197 Pt -30419.750 0.536 7915.971 0.003 B- 719.988 0.502 196 967343.053 0.575 + 39 118 79 197 Au -31139.738 0.542 7915.654 0.003 B- -599.509 3.202 196 966570.114 0.581 + 37 117 80 197 Hg -30540.229 3.207 7908.640 0.016 B- -2198.580 16.637 196 967213.713 3.442 + 35 116 81 197 Tl +a -28341.649 16.325 7893.508 0.083 B- -3596.247 17.014 196 969573.986 17.526 + 33 115 82 197 Pb -24745.401 4.804 7871.282 0.024 B- -5058.210 9.619 196 973434.717 5.157 + 31 114 83 197 Bi +a -19687.191 8.333 7841.634 0.042 B- -6329.202 50.373 196 978864.929 8.946 + 29 113 84 197 Po -a -13357.990 49.679 7805.535 0.252 B- -7002.739 50.317 196 985659.607 53.332 + 27 112 85 197 At -6355.250 7.983 7766.017 0.041 B- -7865.603 18.054 196 993177.357 8.570 + 25 111 86 197 Rn -a 1510.353 16.193 7722.118 0.082 B- -8743.618 56.762 197 001621.430 17.383 + 23 110 87 197 Fr -a 10253.971 54.404 7673.763 0.276 B- * 197 011008.090 58.404 +0 48 123 75 198 Re x -17139# 401# 7862# 2# B- 6697# 446# 197 981600# 430# + 46 122 76 198 Os x -23837# 196# 7891# 1# B- 1984# 277# 197 974410# 210# + 44 121 77 198 Ir x -25821# 196# 7897# 1# B- 4083# 196# 197 972280# 210# + 42 120 78 198 Pt -29903.999 2.100 7914.150 0.011 B- -323.219 2.059 197 967896.734 2.254 + 40 119 79 198 Au -29580.781 0.540 7908.567 0.003 B- 1373.530 0.490 197 968243.724 0.579 + 38 118 80 198 Hg -30954.310 0.458 7911.552 0.002 B- -3425.564 7.559 197 966769.179 0.491 + 36 117 81 198 Tl x -27528.746 7.545 7890.300 0.038 B- -1461.257 11.554 197 970446.673 8.100 + 34 116 82 198 Pb -26067.489 8.750 7878.969 0.044 B- -6698.003 29.283 197 972015.397 9.393 + 32 115 83 198 Bi x -19369.486 27.945 7841.189 0.141 B- -3896.134 32.932 197 979206.000 30.000 + 30 114 84 198 Po -15473.352 17.424 7817.561 0.088 B- -8758.839 18.386 197 983388.672 18.705 + 28 113 85 198 At x -6714.513 5.868 7769.373 0.030 B- -5484.155 14.647 197 992791.673 6.300 + 26 112 86 198 Rn -a -1230.358 13.420 7737.724 0.068 B- -10804.382 34.905 197 998679.156 14.406 + 24 111 87 198 Fr -a 9574.024 32.222 7679.205 0.163 B- * 198 010278.138 34.591 +0 49 124 75 199 Re x -14860# 401# 7851# 2# B- 5623# 446# 198 984047# 430# + 47 123 76 199 Os x -20484# 196# 7875# 1# B- 3915# 200# 198 978010# 210# + 45 122 77 199 Ir p-2n -24398.515 41.054 7891.206 0.206 B- 2990.167 41.003 198 973807.115 44.073 + 43 121 78 199 Pt -n -27388.682 2.159 7902.300 0.011 B- 1705.059 2.120 198 970597.038 2.317 + 41 120 79 199 Au -29093.741 0.542 7906.937 0.003 B- 452.327 0.613 198 968766.582 0.581 + 39 119 80 199 Hg -29546.068 0.526 7905.279 0.003 B- -1486.674 27.950 198 968280.989 0.564 + 37 118 81 199 Tl x -28059.394 27.945 7893.877 0.140 B- -2827.589 29.679 198 969877.000 30.000 + 35 117 82 199 Pb +a -25231.804 9.996 7875.736 0.050 B- -4434.239 14.547 198 972912.542 10.730 + 33 116 83 199 Bi -20797.566 10.568 7849.522 0.053 B- -5589.083 20.919 198 977672.893 11.345 + 31 115 84 199 Po -a -15208.483 18.060 7817.505 0.091 B- -6385.111 18.845 198 983673.021 19.387 + 29 114 85 199 At -8823.372 5.384 7781.488 0.027 B- -7323.921 37.972 198 990527.719 5.780 + 27 113 86 199 Rn -a -1499.451 37.588 7740.753 0.189 B- -8270.844 40.015 198 998390.273 40.352 + 25 112 87 199 Fr -a 6771.393 13.726 7695.259 0.069 B- * 199 007269.389 14.734 +0 48 124 76 200 Os x -18779# 298# 7868# 1# B- 2832# 357# 199 979840# 320# + 46 123 77 200 Ir x -21611# 196# 7878# 1# B- 4988# 197# 199 976800# 210# + 44 122 78 200 Pt -nn -26599.160 20.110 7899.198 0.101 B- 640.932 33.439 199 971444.625 21.588 + 42 121 79 200 Au -27240.092 26.717 7898.491 0.134 B- 2263.178 26.719 199 970756.556 28.681 + 40 120 80 200 Hg -29503.270 0.529 7905.895 0.003 B- -2456.040 5.735 199 968326.934 0.568 + 38 119 81 200 Tl - -27047.230 5.759 7889.703 0.029 B- -796.176 12.340 199 970963.602 6.182 + 36 118 82 200 Pb 4n -26251.054 10.927 7881.810 0.055 B- -5880.299 24.852 199 971818.332 11.730 + 34 117 83 200 Bi +a -20370.755 22.321 7848.497 0.112 B- -3428.994 23.573 199 978131.093 23.962 + 32 116 84 200 Po -16941.761 7.579 7827.440 0.038 B- -7953.869 25.612 199 981812.270 8.135 + 30 115 85 200 At -a -8987.892 24.465 7783.759 0.122 B- -4983.127 28.030 199 990351.100 26.264 + 28 114 86 200 Rn -a -4004.765 13.681 7754.932 0.068 B- -10137.263 33.529 199 995700.707 14.686 + 26 113 87 200 Fr -a 6132.498 30.611 7700.334 0.153 B- * 200 006583.507 32.861 +0 49 125 76 201 Os x -15239# 298# 7851# 1# B- 4657# 357# 200 983640# 320# + 47 124 77 201 Ir x -19897# 196# 7871# 1# B- 3844# 202# 200 978640# 210# + 45 123 78 201 Pt + -23740.714 50.103 7885.833 0.249 B- 2660.000 50.000 200 974513.293 53.788 + 43 122 79 201 Au -26400.714 3.218 7895.175 0.016 B- 1261.827 3.147 200 971657.665 3.454 + 41 121 80 201 Hg -27662.542 0.711 7897.560 0.004 B- -481.704 14.181 200 970303.038 0.763 + 39 120 81 201 Tl -27180.838 14.185 7891.271 0.071 B- -1909.802 18.530 200 970820.168 15.228 + 37 119 82 201 Pb -25271.036 13.747 7877.877 0.068 B- -3854.603 20.481 200 972870.425 14.758 + 35 118 83 201 Bi +a -21416.433 15.183 7854.808 0.076 B- -4895.248 15.962 200 977008.512 16.299 + 33 117 84 201 Po -16521.185 4.942 7826.561 0.025 B- -5731.747 9.561 200 982263.777 5.305 + 31 116 85 201 At +a -10789.438 8.184 7794.153 0.041 B- -6717.113 50.401 200 988417.061 8.786 + 29 115 86 201 Rn -a -4072.324 49.732 7756.842 0.247 B- -7660.902 50.554 200 995628.179 53.389 + 27 114 87 201 Fr -a 3588.577 9.080 7714.836 0.045 B- -8348.224 22.239 201 003852.496 9.747 + 25 113 88 201 Ra -a 11936.801 20.301 7669.410 0.101 B- * 201 012814.683 21.794 +0 50 126 76 202 Os x -13087# 401# 7842# 2# B- 3689# 499# 201 985950# 430# + 48 125 77 202 Ir x -16776# 298# 7856# 1# B- 5916# 299# 201 981990# 320# + 46 124 78 202 Pt x -22692.125 25.150 7881.560 0.125 B- 1660.854 34.276 201 975639.000 27.000 + 44 123 79 202 Au x -24352.979 23.287 7885.909 0.115 B- 2992.345 23.298 201 973856.000 25.000 + 42 122 80 202 Hg -27345.324 0.705 7896.850 0.003 B- -1365.108 1.636 201 970643.585 0.756 + 40 121 81 202 Tl -25980.216 1.606 7886.219 0.008 B- -39.602 4.096 201 972109.089 1.723 + 38 120 82 202 Pb -25940.614 3.796 7882.150 0.019 B- -5199.130 15.856 201 972151.604 4.075 + 36 119 83 202 Bi -20741.484 15.396 7852.539 0.076 B- -2799.868 17.666 201 977733.100 16.528 + 34 118 84 202 Po -17941.616 8.670 7834.805 0.043 B- -7350.884 29.289 201 980738.881 9.307 + 32 117 85 202 At -a -10590.732 27.977 7794.541 0.138 B- -4316.097 33.010 201 988630.380 30.034 + 30 116 86 202 Rn -a -6274.635 17.520 7769.301 0.087 B- -9370.871 18.881 201 993263.902 18.808 + 28 115 87 202 Fr -a 3096.237 7.040 7719.038 0.035 B- -5978.625 16.586 202 003323.946 7.557 + 26 114 88 202 Ra -a 9074.861 15.018 7685.568 0.074 B- * 202 009742.264 16.122 +0 51 127 76 203 Os x -7640# 401# 7816# 2# B- 7050# 566# 202 991798# 430# + 49 126 77 203 Ir x -14690# 401# 7847# 2# B- 4937# 446# 202 984230# 430# + 47 125 78 203 Pt x -19627# 196# 7867# 1# B- 3517# 196# 202 978930# 210# + 45 124 79 203 Au -23143.436 3.083 7880.864 0.015 B- 2125.829 3.451 202 975154.498 3.309 + 43 123 80 203 Hg -25269.265 1.627 7887.482 0.008 B- 492.112 1.225 202 972872.326 1.746 + 41 122 81 203 Tl -25761.377 1.166 7886.053 0.006 B- -974.820 6.461 202 972344.022 1.252 + 39 121 82 203 Pb -24786.557 6.554 7877.397 0.032 B- -3261.729 14.356 202 973390.535 7.036 + 37 120 83 203 Bi +a -21524.827 12.778 7857.475 0.063 B- -4213.939 15.433 202 976892.145 13.717 + 35 119 84 203 Po +a -17310.889 8.655 7832.863 0.043 B- -5148.332 13.666 202 981415.995 9.291 + 33 118 85 203 At -12162.557 10.576 7803.648 0.052 B- -6008.858 21.027 202 986942.957 11.353 + 31 117 86 203 Rn -a -6153.699 18.179 7770.193 0.090 B- -7030.116 19.218 202 993393.732 19.516 + 29 116 87 203 Fr 876.417 6.232 7731.708 0.031 B- -7785.309 38.630 203 000940.872 6.689 + 27 115 88 203 Ra -a 8661.726 38.124 7689.503 0.188 B- * 203 009298.745 40.928 +0 50 127 77 204 Ir x -9688# 401# 7824# 2# B- 8234# 446# 203 989600# 430# + 48 126 78 204 Pt x -17922# 196# 7860# 1# B- 2728# 280# 203 980760# 210# + 46 125 79 204 Au + -20650# 200# 7870# 1# B- 4040# 200# 203 977831# 215# + 44 124 80 204 Hg -24690.145 0.498 7885.545 0.002 B- -344.000 1.186 203 973494.037 0.534 + 42 123 81 204 Tl -24346.145 1.152 7880.023 0.006 B- 763.748 0.177 203 973863.337 1.236 + 40 122 82 204 Pb -25109.892 1.146 7879.932 0.006 B- -4463.996 9.248 203 973043.420 1.230 + 38 121 83 204 Bi +a -20645.896 9.180 7854.215 0.045 B- -2304.652 14.335 203 977835.717 9.854 + 36 120 84 204 Po -a -18341.244 11.013 7839.083 0.054 B- -6465.811 24.860 203 980309.863 11.822 + 34 119 85 204 At -11875.433 22.288 7803.552 0.109 B- -3905.240 23.498 203 987251.197 23.926 + 32 118 86 204 Rn -7970.193 7.444 7780.574 0.036 B- -8577.503 25.684 203 991443.644 7.991 + 30 117 87 204 Fr -a 607.310 24.581 7734.692 0.120 B- -5449.477 28.940 204 000651.974 26.389 + 28 116 88 204 Ra -a 6056.787 15.273 7704.144 0.075 B- * 204 006502.228 16.396 +0 51 128 77 205 Ir x -5960# 503# 7807# 2# B- 7007# 585# 204 993602# 540# + 49 127 78 205 Pt x -12966# 298# 7837# 1# B- 5803# 357# 204 986080# 320# + 47 126 79 205 Au x -18770# 196# 7861# 1# B- 3518# 196# 204 979850# 210# + 45 125 80 205 Hg -22287.740 3.654 7874.732 0.018 B- 1533.135 3.724 204 976073.125 3.923 + 43 124 81 205 Tl -23820.874 1.237 7878.394 0.006 B- -50.636 0.503 204 974427.237 1.328 + 41 123 82 205 Pb -23770.239 1.144 7874.331 0.006 B- -2705.734 5.107 204 974481.597 1.228 + 39 122 83 205 Bi -21064.504 5.111 7857.316 0.025 B- -3543.106 11.280 204 977386.323 5.487 + 37 121 84 205 Po -17521.398 10.059 7836.216 0.049 B- -4549.452 18.130 204 981190.004 10.798 + 35 120 85 205 At +a -12971.946 15.085 7810.207 0.074 B- -5262.161 15.913 204 986074.041 16.194 + 33 119 86 205 Rn -7709.786 5.080 7780.722 0.025 B- -6399.973 9.329 204 991723.204 5.453 + 31 118 87 205 Fr x -1309.813 7.824 7745.686 0.038 B- -7148.804 70.954 204 998593.858 8.399 + 29 117 88 205 Ra -a 5838.991 70.521 7706.998 0.344 B- -8267.702 86.923 205 006268.415 75.707 + 27 116 89 205 Ac -a 14106.693 50.818 7662.851 0.248 B- * 205 015144.158 54.555 +0 50 128 78 206 Pt x -9632# 298# 7822# 1# B- 4583# 422# 205 989660# 320# + 48 127 79 206 Au x -14215# 298# 7840# 1# B- 6731# 299# 205 984740# 320# + 46 126 80 206 Hg +a -20945.801 20.440 7869.172 0.099 B- 1307.566 20.410 205 977513.756 21.943 + 44 125 81 206 Tl -22253.367 1.284 7871.721 0.006 B- 1532.217 0.612 205 976110.026 1.378 + 42 124 82 206 Pb -23785.584 1.144 7875.362 0.006 B- -3757.306 7.546 205 974465.124 1.227 + 40 123 83 206 Bi - -20028.278 7.632 7853.324 0.037 B- -1839.604 8.600 205 978498.757 8.193 + 38 122 84 206 Po -a -18188.674 4.012 7840.597 0.019 B- -5758.956 15.580 205 980473.654 4.306 + 36 121 85 206 At -12429.718 15.056 7808.843 0.073 B- -3296.753 17.330 205 986656.148 16.162 + 34 120 86 206 Rn -9132.965 8.591 7789.041 0.042 B- -7890.549 29.475 205 990195.358 9.223 + 32 119 87 206 Fr -a -1242.416 28.195 7746.940 0.137 B- -4807.955 33.455 205 998666.211 30.268 + 30 118 88 206 Ra -a 3565.539 18.008 7719.802 0.087 B- -9913.913 53.608 206 003827.763 19.332 + 28 117 89 206 Ac -a 13479.452 50.493 7667.879 0.245 B- * 206 014470.787 54.206 +0 51 129 78 207 Pt x -4540# 401# 7798# 2# B- 6270# 500# 206 995126# 430# + 49 128 79 207 Au x -10810# 300# 7825# 1# B- 5677# 301# 206 988395# 322# + 47 127 80 207 Hg x -16487.444 29.808 7848.610 0.144 B- 4547.008 30.300 206 982300.000 32.000 + 45 126 81 207 Tl -21034.451 5.439 7866.797 0.026 B- 1417.595 5.402 206 977418.586 5.839 + 43 125 82 207 Pb -22452.047 1.147 7869.866 0.006 B- -2397.420 2.118 206 975896.735 1.230 + 41 124 83 207 Bi -20054.627 2.397 7854.505 0.012 B- -2908.852 6.614 206 978470.471 2.573 + 39 123 84 207 Po -17145.775 6.659 7836.673 0.032 B- -3918.358 14.075 206 981593.252 7.148 + 37 122 85 207 At +a -13227.416 12.406 7813.964 0.060 B- -4592.654 15.037 206 985799.783 13.318 + 35 121 86 207 Rn +a -8634.762 8.497 7787.998 0.041 B- -5790.421 19.458 206 990730.200 9.121 + 33 120 87 207 Fr -2844.341 17.505 7756.246 0.085 B- -6388.826 56.008 206 996946.474 18.792 + 31 119 88 207 Ra -a 3544.485 53.202 7721.602 0.257 B- -7601.748 73.276 207 003805.161 57.115 + 29 118 89 207 Ac -a 11146.233 50.387 7681.099 0.243 B- * 207 011965.973 54.092 +0 52 130 78 208 Pt x -990# 400# 7783# 2# B- 5111# 499# 207 998937# 429# + 50 129 79 208 Au x -6101# 298# 7804# 1# B- 7164# 300# 207 993450# 320# + 48 128 80 208 Hg x -13265.406 30.739 7834.191 0.148 B- 3484.726 30.795 207 985759.000 33.000 + 46 127 81 208 Tl +a -16750.132 1.854 7847.183 0.009 B- 4998.466 1.669 207 982017.992 1.990 + 44 126 82 208 Pb -21748.598 1.148 7867.453 0.006 B- -2878.375 2.013 207 976651.918 1.231 + 42 125 83 208 Bi +n -18870.223 2.304 7849.853 0.011 B- -1400.628 2.397 207 979741.981 2.473 + 40 124 84 208 Po -a -17469.596 1.737 7839.358 0.008 B- -4999.725 9.086 207 981245.616 1.864 + 38 123 85 208 At +a -12469.871 8.921 7811.560 0.043 B- -2814.279 14.269 207 986613.042 9.577 + 36 122 86 208 Rn -a -9655.591 11.138 7794.268 0.054 B- -6989.672 16.251 207 989634.295 11.957 + 34 121 87 208 Fr -2665.919 11.834 7756.903 0.057 B- -4393.774 14.881 207 997138.018 12.704 + 32 120 88 208 Ra -a 1727.856 9.023 7732.017 0.043 B- -9025.380 56.442 208 001854.929 9.686 + 30 119 89 208 Ac -a 10753.235 55.716 7684.865 0.268 B- -5930.495 65.370 208 011544.073 59.813 + 28 118 90 208 Th -a 16683.730 34.190 7652.592 0.164 B- * 208 017910.722 36.704 +0 51 130 79 209 Au x -2540# 400# 7788# 2# B- 6104# 426# 208 997273# 429# + 49 129 80 209 Hg x -8644# 149# 7813# 1# B- 5000# 149# 208 990720# 160# + 47 128 81 209 Tl +a -13644.757 6.110 7833.397 0.029 B- 3969.889 6.211 208 985351.750 6.559 + 45 127 82 209 Pb -17614.646 1.747 7848.648 0.008 B- 644.016 1.146 208 981089.898 1.875 + 43 126 83 209 Bi -18258.662 1.364 7847.987 0.007 B- -1892.570 1.564 208 980398.519 1.464 + 41 125 84 209 Po -a -16366.092 1.778 7835.188 0.009 B- -3483.478 5.287 208 982430.276 1.908 + 39 124 85 209 At -12882.613 5.102 7814.777 0.024 B- -3941.564 11.188 208 986169.944 5.477 + 37 123 86 209 Rn -8941.049 9.960 7792.175 0.048 B- -5171.477 17.713 208 990401.388 10.692 + 35 122 87 209 Fr x -3769.572 14.648 7763.688 0.070 B- -5627.791 15.730 208 995953.197 15.725 + 33 121 88 209 Ra -a 1858.219 5.747 7733.017 0.027 B- -6985.590 50.934 209 001994.879 6.169 + 31 120 89 209 Ac -a 8843.809 50.608 7695.850 0.242 B- -7523# 148# 209 009494.220 54.330 + 29 119 90 209 Th IT 16367# 140# 7656# 1# B- * 209 017571# 150# +0 52 131 79 210 Au x 2329# 401# 7766# 2# B- 7694# 446# 210 002500# 430# + 50 130 80 210 Hg x -5365# 196# 7799# 1# B- 3882# 196# 209 994240# 210# + 48 129 81 210 Tl +a -9246.969 11.604 7813.588 0.055 B- 5481.534 11.561 209 990072.970 12.456 + 46 128 82 210 Pb -14728.502 1.447 7835.965 0.007 B- 63.476 0.499 209 984188.301 1.553 + 44 127 83 210 Bi -14791.979 1.363 7832.542 0.006 B- 1161.159 0.766 209 984120.156 1.462 + 42 126 84 210 Po -15953.137 1.146 7834.346 0.005 B- -3980.960 7.610 209 982873.601 1.230 + 40 125 85 210 At -a -11972.177 7.695 7811.663 0.037 B- -2367.407 8.922 209 987147.338 8.261 + 38 124 86 210 Rn -a -9604.770 4.557 7796.665 0.022 B- -6271.565 15.824 209 989688.854 4.892 + 36 123 87 210 Fr -3333.205 15.154 7763.075 0.072 B- -3775.997 17.720 209 996421.657 16.268 + 34 122 88 210 Ra -a 442.792 9.193 7741.368 0.044 B- -8346.908 58.133 210 000475.356 9.868 + 32 121 89 210 Ac -a 8789.699 57.402 7697.896 0.273 B- -5269.747 60.436 210 009436.130 61.623 + 30 120 90 210 Th -a 14059.446 18.909 7669.076 0.090 B- * 210 015093.437 20.299 +0 51 131 80 211 Hg x -624# 196# 7778# 1# B- 5454# 200# 210 999330# 210# + 49 130 81 211 Tl x -6077.998 41.917 7799.791 0.199 B- 4414.950 41.978 210 993475.000 45.000 + 47 129 82 211 Pb -10492.948 2.261 7817.007 0.011 B- 1366.183 5.471 210 988735.356 2.426 + 45 128 83 211 Bi -11859.131 5.442 7819.774 0.026 B- 573.439 5.430 210 987268.698 5.842 + 43 127 84 211 Po -a -12432.571 1.255 7818.784 0.006 B- -785.307 2.539 210 986653.085 1.347 + 41 126 85 211 At -a -11647.264 2.729 7811.354 0.013 B- -2891.860 6.894 210 987496.147 2.929 + 39 125 86 211 Rn -a -8755.404 6.813 7793.941 0.032 B- -4615.155 13.786 210 990600.686 7.314 + 37 124 87 211 Fr -4140.249 11.991 7768.360 0.057 B- -4972.272 14.369 210 995555.259 12.872 + 35 123 88 211 Ra x 832.023 7.918 7741.087 0.038 B- -6370.191 53.564 211 000893.213 8.500 + 33 122 89 211 Ac -a 7202.214 52.976 7707.189 0.251 B- -6707.958 90.205 211 007731.894 56.871 + 31 121 90 211 Th -a 13910.171 73.010 7671.690 0.346 B- -8170# 126# 211 014933.183 78.379 + 29 120 91 211 Pa x 22080# 102# 7629# 0# B- * 211 023704# 110# +0 52 132 80 212 Hg x 2757# 298# 7763# 1# B- 4308# 359# 212 002960# 320# + 50 131 81 212 Tl +a -1551# 200# 7780# 1# B- 5998# 200# 211 998335# 215# + 48 130 82 212 Pb -7548.850 1.842 7804.319 0.009 B- 569.104 1.825 211 991895.975 1.977 + 46 129 83 212 Bi -8117.954 1.854 7803.313 0.009 B- 2251.533 1.667 211 991285.016 1.989 + 44 128 84 212 Po -10369.487 1.152 7810.243 0.005 B- -1741.266 2.107 211 988867.896 1.236 + 42 127 85 212 At -a -8628.221 2.384 7798.340 0.011 B- 31.387 3.605 211 990737.223 2.559 + 40 126 86 212 Rn -a -8659.608 3.145 7794.797 0.015 B- -5143.640 9.318 211 990703.528 3.376 + 38 125 87 212 Fr -3515.968 8.775 7766.845 0.041 B- -3317.000 14.276 211 996225.453 9.420 + 36 124 88 212 Ra -a -198.968 11.263 7747.508 0.053 B- -7476.266 52.601 211 999786.399 12.091 + 34 123 89 212 Ac -a 7277.298 51.381 7708.552 0.242 B- -4833.510 52.366 212 007812.501 55.160 + 32 122 90 212 Th -a 12110.808 10.109 7682.062 0.048 B- -9482.551 75.541 212 013001.487 10.852 + 30 121 91 212 Pa -a 21593.358 74.862 7633.643 0.353 B- * 212 023181.425 80.367 +0 53 133 80 213 Hg x 7666# 298# 7741# 1# B- 5882# 299# 213 008230# 320# + 51 132 81 213 Tl x 1783.811 27.013 7765.430 0.127 B- 4987.343 27.894 213 001915.000 29.000 + 49 131 82 213 Pb +a -3203.532 6.954 7785.172 0.033 B- 2028.103 8.371 212 996560.867 7.465 + 47 130 83 213 Bi -5231.635 5.082 7791.021 0.024 B- 1421.949 5.490 212 994383.608 5.456 + 45 129 84 213 Po -6653.584 3.053 7794.024 0.014 B- -73.989 5.465 212 992857.083 3.277 + 43 128 85 213 At -a -6579.595 4.898 7790.003 0.023 B- -883.569 5.724 212 992936.514 5.257 + 41 127 86 213 Rn -a -5696.026 3.370 7782.182 0.016 B- -2143.179 6.006 212 993885.064 3.617 + 39 126 87 213 Fr -3552.848 5.091 7768.447 0.024 B- -3898.405 11.057 212 996185.861 5.465 + 37 125 88 213 Ra 345.557 9.818 7746.472 0.046 B- -5809.134 18.156 213 000370.970 10.540 + 35 124 89 213 Ac -a 6154.692 15.272 7715.526 0.072 B- -5965.394 17.834 213 006607.333 16.395 + 33 123 90 213 Th -a 12120.086 9.217 7683.846 0.043 B- -7542.539 71.737 213 013011.447 9.895 + 31 122 91 213 Pa -a 19662.625 71.142 7644.762 0.334 B- * 213 021108.697 76.374 +0 54 134 80 214 Hg x 11178# 401# 7727# 2# B- 4713# 446# 214 012000# 430# + 52 133 81 214 Tl x 6465# 196# 7745# 1# B- 6647# 196# 214 006940# 210# + 50 132 82 214 Pb -182.769 1.975 7772.394 0.009 B- 1017.984 11.256 213 999803.788 2.120 + 48 131 83 214 Bi -1200.753 11.209 7773.495 0.052 B- 3269.293 11.165 213 998710.938 12.033 + 46 130 84 214 Po -4470.046 1.449 7785.116 0.007 B- -1090.215 4.107 213 995201.208 1.555 + 44 129 85 214 At -a -3379.831 4.298 7776.366 0.020 B- 939.911 10.014 213 996371.601 4.614 + 42 128 86 214 Rn -a -4319.742 9.187 7777.102 0.043 B- -3361.035 12.503 213 995362.566 9.862 + 40 127 87 214 Fr -a -958.707 8.634 7757.740 0.040 B- -1051.441 10.086 213 998970.785 9.268 + 38 126 88 214 Ra -a 92.734 5.250 7749.171 0.025 B- -6351.120 16.232 214 000099.554 5.636 + 36 125 89 214 Ac -a 6443.854 15.360 7715.837 0.072 B- -4251.030 18.693 214 006917.762 16.489 + 34 124 90 214 Th -a 10694.885 10.661 7692.317 0.050 B- -8790.630 76.867 214 011481.431 11.445 + 32 123 91 214 Pa -a 19485.515 76.125 7647.583 0.356 B- * 214 020918.561 81.723 +0 55 135 80 215 Hg x 16208# 401# 7705# 2# B- 6297# 499# 215 017400# 430# + 53 134 81 215 Tl x 9911# 298# 7730# 1# B- 5569# 303# 215 010640# 320# + 51 133 82 215 Pb +a 4342.244 52.448 7752.737 0.244 B- 2712.922 52.748 215 004661.590 56.304 + 49 132 83 215 Bi 1629.322 5.624 7761.717 0.026 B- 2171.028 5.530 215 001749.149 6.037 + 47 131 84 215 Po -541.706 2.121 7768.176 0.010 B- 714.049 6.819 214 999418.454 2.276 + 45 130 85 215 At -a -1255.756 6.799 7767.858 0.032 B- -87.195 10.168 214 998651.890 7.299 + 43 129 86 215 Rn -a -1168.561 7.672 7763.814 0.036 B- -1486.625 10.306 214 998745.498 8.236 + 41 128 87 215 Fr -a 318.065 7.066 7753.260 0.033 B- -2215.674 10.077 215 000341.456 7.585 + 39 127 88 215 Ra -a 2533.739 7.613 7739.316 0.035 B- -3496.877 14.551 215 002720.080 8.172 + 37 126 89 215 Ac -a 6030.615 12.406 7719.413 0.058 B- -4890.971 15.234 215 006474.132 13.318 + 35 125 90 215 Th -a 10921.586 8.840 7693.025 0.041 B- -6942.353 73.380 215 011724.805 9.490 + 33 124 91 215 Pa -a 17863.939 72.845 7657.096 0.339 B- -7059.147 114.616 215 019177.728 78.202 + 31 123 92 215 U -a 24923.087 88.490 7620.624 0.412 B- * 215 026756.035 94.997 +0 56 136 80 216 Hg x 19859# 401# 7690# 2# B- 5142# 499# 216 021320# 430# + 54 135 81 216 Tl x 14718# 298# 7710# 1# B- 7238# 357# 216 015800# 320# + 52 134 82 216 Pb x 7480# 196# 7740# 1# B- 1606# 196# 216 008030# 210# + 50 133 83 216 Bi x 5873.991 11.178 7743.499 0.052 B- 4091.571 11.324 216 006305.989 12.000 + 48 132 84 216 Po 1782.420 1.816 7758.819 0.008 B- -474.246 3.571 216 001913.506 1.949 + 46 131 85 216 At -a 2256.666 3.575 7753.002 0.017 B- 2003.799 6.836 216 002422.631 3.837 + 44 130 86 216 Rn -a 252.868 5.994 7758.657 0.028 B- -2718.082 7.126 216 000271.464 6.435 + 42 129 87 216 Fr -a 2970.950 4.173 7742.451 0.019 B- -320.128 9.548 216 003189.445 4.480 + 40 128 88 216 Ra -a 3291.077 8.737 7737.347 0.040 B- -4853.317 13.921 216 003533.117 9.379 + 38 127 89 216 Ac -a 8144.395 10.840 7711.256 0.050 B- -2153.937 16.201 216 008743.367 11.637 + 36 126 90 216 Th -a 10298.332 12.042 7697.662 0.056 B- -7500.882 54.864 216 011055.714 12.928 + 34 125 91 216 Pa -a 17799.214 53.526 7659.314 0.248 B- -5267.137 60.450 216 019108.242 57.462 + 32 124 92 216 U -a 23066.351 28.093 7631.307 0.130 B- * 216 024762.747 30.158 +0 55 136 81 217 Tl x 18313# 401# 7695# 2# B- 6073# 499# 217 019660# 430# + 53 135 82 217 Pb x 12240# 298# 7719# 1# B- 3510# 299# 217 013140# 320# + 51 134 83 217 Bi x 8729.962 17.698 7731.848 0.082 B- 2846.444 18.870 217 009372.000 19.000 + 49 133 84 217 Po +a 5883.518 6.544 7741.360 0.030 B- 1488.883 7.979 217 006316.216 7.025 + 47 132 85 217 At 4394.635 5.001 7744.616 0.023 B- 736.135 6.151 217 004717.835 5.369 + 45 131 86 217 Rn -a 3658.501 4.198 7744.403 0.019 B- -656.089 7.538 217 003927.562 4.506 + 43 130 87 217 Fr -a 4314.590 6.531 7737.775 0.030 B- -1575.067 9.588 217 004631.902 7.010 + 41 129 88 217 Ra -a 5889.656 7.202 7726.911 0.033 B- -2814.017 13.430 217 006322.806 7.731 + 39 128 89 217 Ac -a 8703.673 11.389 7710.338 0.052 B- -3502.107 15.566 217 009343.777 12.226 + 37 127 90 217 Th -a 12205.780 10.614 7690.594 0.049 B- -4862.630 19.132 217 013103.444 11.394 + 35 126 91 217 Pa -a 17068.410 15.918 7664.580 0.073 B- -5905# 73# 217 018323.692 17.089 + 33 125 92 217 U -a 22973# 71# 7634# 0# B- * 217 024663# 77# +0 56 137 81 218 Tl x 23180# 400# 7674# 2# B- 7727# 499# 218 024885# 429# + 54 136 82 218 Pb x 15453# 298# 7706# 1# B- 2237# 299# 218 016590# 320# + 52 135 83 218 Bi x 13216.037 27.013 7712.827 0.124 B- 4859.136 27.085 218 014188.000 29.000 + 50 134 84 218 Po 8356.901 1.973 7731.528 0.009 B- 258.738 11.649 218 008971.502 2.118 + 48 133 85 218 At -a 8098.162 11.604 7729.126 0.053 B- 2880.816 11.705 218 008693.735 12.456 + 46 132 86 218 Rn 5217.347 2.316 7738.752 0.011 B- -1841.770 4.942 218 005601.052 2.486 + 44 131 87 218 Fr -a 7059.117 4.757 7726.715 0.022 B- 407.947 12.039 218 007578.274 5.106 + 42 130 88 218 Ra -a 6651.170 11.176 7724.998 0.051 B- -4192.439 51.931 218 007140.325 11.997 + 40 129 89 218 Ac -a 10843.609 50.740 7702.177 0.233 B- -1523.132 51.815 218 011641.093 54.471 + 38 128 90 218 Th -a 12366.741 10.516 7691.602 0.048 B- -6317.029 21.130 218 013276.242 11.289 + 36 127 91 218 Pa -a 18683.770 18.329 7659.036 0.084 B- -3210.838 22.888 218 020057.853 19.676 + 34 126 92 218 U -a 21894.608 13.714 7640.719 0.063 B- * 218 023504.829 14.722 +0 55 137 82 219 Pb x 20279# 401# 7686# 2# B- 3996# 446# 219 021770# 430# + 53 136 83 219 Bi x 16283# 196# 7700# 1# B- 3601# 196# 219 017480# 210# + 51 135 84 219 Po x 12681.359 15.835 7713.333 0.072 B- 2285.283 16.163 219 013614.000 17.000 + 49 134 85 219 At 10396.076 3.237 7720.196 0.015 B- 1566.675 2.947 219 011160.647 3.474 + 47 133 86 219 Rn 8829.402 2.100 7723.777 0.010 B- 211.635 7.058 219 009478.753 2.254 + 45 132 87 219 Fr -a 8617.767 7.039 7721.171 0.032 B- -776.515 10.772 219 009251.553 7.556 + 43 131 88 219 Ra -a 9394.282 8.258 7714.053 0.038 B- -2175.199 51.142 219 010085.176 8.865 + 41 130 89 219 Ac -a 11569.480 50.497 7700.549 0.231 B- -2901.910 71.425 219 012420.348 54.210 + 39 129 90 219 Th -a 14471.390 50.576 7683.725 0.231 B- -4068.741 72.192 219 015535.677 54.295 + 37 128 91 219 Pa -a 18540.131 51.516 7661.574 0.235 B- -4746.439 72.333 219 019903.650 55.304 + 35 127 92 219 U -a 23286.569 50.775 7636.329 0.232 B- -6170.086 101.905 219 024999.161 54.509 + 33 126 93 219 Np -a 29456.655 88.354 7604.583 0.403 B- * 219 031623.021 94.851 +0 56 138 82 220 Pb x 23669# 401# 7672# 2# B- 2850# 499# 220 025410# 430# + 54 137 83 220 Bi x 20819# 298# 7682# 1# B- 5555# 299# 220 022350# 320# + 52 136 84 220 Po x 15263.461 17.698 7703.224 0.080 B- 887.714 22.549 220 016386.000 19.000 + 50 135 85 220 At x 14375.747 13.972 7703.703 0.064 B- 3763.670 14.090 220 015433.000 15.000 + 48 134 86 220 Rn 10612.077 1.815 7717.254 0.008 B- -870.242 4.026 220 011392.534 1.948 + 46 133 87 220 Fr -a 11482.320 4.028 7709.742 0.018 B- 1212.075 9.061 220 012326.778 4.324 + 44 132 88 220 Ra -a 10270.245 8.237 7711.696 0.037 B- -3473.437 10.141 220 011025.562 8.843 + 42 131 89 220 Ac -a 13743.682 6.129 7692.351 0.028 B- -925.417 22.941 220 014754.450 6.579 + 40 130 90 220 Th -a 14669.100 22.166 7684.589 0.101 B- -5549# 56# 220 015747.926 23.795 + 38 129 91 220 Pa -a 20218# 51# 7656# 0# B- -2715# 113# 220 021705# 55# + 36 128 92 220 U -a 22933# 101# 7640# 0# B- -7378# 220# 220 024620# 108# + 34 127 93 220 Np x 30311# 196# 7603# 1# B- * 220 032540# 210# +0 55 138 83 221 Bi x 24098# 298# 7668# 1# B- 4324# 299# 221 025870# 320# + 53 137 84 221 Po x 19773.755 19.561 7684.481 0.089 B- 2991.027 24.039 221 021228.000 21.000 + 51 136 85 221 At x 16782.727 13.972 7694.475 0.063 B- 2311.308 15.096 221 018017.000 15.000 + 49 135 86 221 Rn +a 14471.420 5.714 7701.393 0.026 B- 1194.130 7.231 221 015535.709 6.134 + 47 134 87 221 Fr 13277.290 4.886 7703.256 0.022 B- 313.479 6.386 221 014253.757 5.245 + 45 133 88 221 Ra -a 12963.811 4.630 7701.135 0.021 B- -1559.298 50.603 221 013917.224 4.970 + 43 132 89 221 Ac -a 14523.109 50.425 7690.539 0.228 B- -2417.261 51.056 221 015591.199 54.133 + 41 131 90 221 Th -a 16940.371 8.166 7676.061 0.037 B- -3435.918 51.915 221 018186.236 8.766 + 39 130 91 221 Pa -a 20376.288 51.281 7656.974 0.232 B- -4143.707 72.404 221 021874.846 55.052 + 37 129 92 221 U -a 24519.995 51.114 7634.684 0.231 B- -5330# 207# 221 026323.299 54.873 + 35 128 93 221 Np x 29850# 200# 7607# 1# B- * 221 032045# 215# +0 56 139 83 222 Bi x 28729# 300# 7649# 1# B- 6243# 303# 222 030842# 322# + 54 138 84 222 Po x 22486.265 40.054 7674.005 0.180 B- 1533.239 43.071 222 024140.000 43.000 + 52 137 85 222 At x 20953.026 15.835 7677.387 0.071 B- 4580.820 15.955 222 022494.000 17.000 + 50 136 86 222 Rn 16372.206 1.950 7694.497 0.009 B- -5.900 7.703 222 017576.286 2.093 + 48 135 87 222 Fr x 16378.105 7.452 7690.947 0.034 B- 2057.917 8.682 222 017582.620 8.000 + 46 134 88 222 Ra 14320.188 4.454 7696.692 0.020 B- -2301.285 6.637 222 015373.355 4.781 + 44 133 89 222 Ac -a 16621.474 5.174 7682.802 0.023 B- -581.637 13.228 222 017843.887 5.554 + 42 132 90 222 Th -a 17203.111 12.279 7676.658 0.055 B- -4951# 74# 222 018468.300 13.182 + 40 131 91 222 Pa -a 22155# 72# 7651# 0# B- -2118# 89# 222 023784# 78# + 38 130 92 222 U -a 24272.827 51.994 7637.764 0.234 B- -6746# 202# 222 026057.953 55.817 + 36 129 93 222 Np x 31019# 196# 7604# 1# B- * 222 033300# 210# +0 57 140 83 223 Bi x 32137# 401# 7636# 2# B- 5058# 446# 223 034500# 430# + 55 139 84 223 Po x 27079# 196# 7655# 1# B- 3651# 196# 223 029070# 210# + 53 138 85 223 At x 23428.006 13.972 7668.055 0.063 B- 3038.267 16.013 223 025151.000 15.000 + 51 137 86 223 Rn 20389.739 7.822 7678.171 0.035 B- 2007.344 8.057 223 021889.285 8.397 + 49 136 87 223 Fr 18382.394 1.932 7683.664 0.009 B- 1149.085 0.848 223 019734.313 2.073 + 47 135 88 223 Ra 17233.309 2.090 7685.309 0.009 B- -592.573 7.128 223 018500.719 2.244 + 45 134 89 223 Ac -a 17825.882 7.110 7679.143 0.032 B- -1559.948 11.563 223 019136.872 7.632 + 43 133 90 223 Th -a 19385.831 9.212 7668.640 0.041 B- -2934.845 71.639 223 020811.546 9.889 + 41 132 91 223 Pa -a 22320.676 71.063 7651.971 0.319 B- -3516.330 100.506 223 023962.232 76.289 + 39 131 92 223 U -a 25837.006 71.119 7632.694 0.319 B- -4763# 208# 223 027737.168 76.349 + 37 130 93 223 Np x 30600# 196# 7608# 1# B- * 223 032850# 210# +0 58 141 83 224 Bi x 36830# 400# 7617# 2# B- 6920# 445# 224 039539# 429# + 56 140 84 224 Po x 29910# 196# 7644# 1# B- 2199# 197# 224 032110# 210# + 54 139 85 224 At x 27711.015 22.356 7650.735 0.100 B- 5265.917 24.415 224 029749.000 24.000 + 52 138 86 224 Rn 22445.098 9.814 7670.751 0.044 B- 696.482 14.875 224 024095.804 10.536 + 50 137 87 224 Fr x 21748.616 11.178 7670.367 0.050 B- 2922.699 11.324 224 023348.100 12.000 + 48 136 88 224 Ra 18825.917 1.813 7679.922 0.008 B- -1408.219 4.087 224 020210.453 1.945 + 46 135 89 224 Ac -a 20234.135 4.089 7670.143 0.018 B- 240.401 10.823 224 021722.239 4.389 + 44 134 90 224 Th -a 19993.734 10.120 7667.724 0.045 B- -3868.544 12.546 224 021464.157 10.864 + 42 133 91 224 Pa -a 23862.278 7.587 7646.961 0.034 B- -1859.974 24.329 224 025617.210 8.145 + 40 132 92 224 U -a 25722.252 23.171 7635.165 0.103 B- -6153# 197# 224 027613.974 24.875 + 38 131 93 224 Np x 31876# 196# 7604# 1# B- * 224 034220# 210# +0 57 141 84 225 Po x 34530# 298# 7626# 1# B- 4136# 422# 225 037070# 320# + 55 140 85 225 At x 30395# 298# 7641# 1# B- 3861# 298# 225 032630# 320# + 53 139 86 225 Rn 26534.141 11.140 7654.357 0.050 B- 2713.531 16.349 225 028485.574 11.958 + 51 138 87 225 Fr 23820.610 11.967 7662.940 0.053 B- 1827.501 12.158 225 025572.478 12.847 + 49 137 88 225 Ra 21993.109 2.596 7667.586 0.012 B- 355.763 5.007 225 023610.574 2.787 + 47 136 89 225 Ac 21637.346 4.758 7665.690 0.021 B- -672.781 6.658 225 023228.647 5.107 + 45 135 90 225 Th -a 22310.127 5.093 7659.222 0.023 B- -2030.598 71.170 225 023950.907 5.467 + 43 134 91 225 Pa -a 24340.725 71.012 7646.720 0.316 B- -3039.196 71.827 225 026130.844 76.234 + 41 133 92 225 U -a 27379.921 10.909 7629.736 0.048 B- -4207.783 72.440 225 029393.555 11.711 + 39 132 93 225 Np -a 31587.704 71.622 7607.557 0.318 B- * 225 033910.797 76.889 +0 58 142 84 226 Po x 37549# 401# 7614# 2# B- 2934# 499# 226 040310# 430# + 56 141 85 226 At x 34614# 298# 7624# 1# B- 5867# 298# 226 037160# 320# + 54 140 86 226 Rn 28747.192 10.477 7646.410 0.046 B- 1226.653 12.190 226 030861.382 11.247 + 52 139 87 226 Fr 27520.539 6.230 7648.376 0.028 B- 3852.715 6.523 226 029544.515 6.688 + 50 138 88 226 Ra 23667.824 1.933 7661.962 0.009 B- -641.440 3.274 226 025408.455 2.075 + 48 137 89 226 Ac 24309.264 3.100 7655.662 0.014 B- 1111.630 4.563 226 026097.069 3.328 + 46 136 90 226 Th 23197.634 4.481 7657.119 0.020 B- -2835.642 12.165 226 024903.686 4.810 + 44 135 91 226 Pa -a 26033.276 11.420 7641.110 0.051 B- -1295.593 17.228 226 027947.872 12.259 + 42 134 92 226 U -a 27328.869 12.999 7631.916 0.058 B- -5448# 89# 226 029338.749 13.955 + 40 133 93 226 Np -a 32777# 88# 7604# 0# B- * 226 035188# 95# +0 59 143 84 227 Po x 42281# 401# 7596# 2# B- 4797# 499# 227 045390# 430# + 57 142 85 227 At x 37483# 298# 7613# 1# B- 4597# 298# 227 040240# 320# + 55 141 86 227 Rn 32885.834 14.091 7630.050 0.062 B- 3203.388 15.276 227 035304.396 15.127 + 53 140 87 227 Fr 29682.445 5.898 7640.715 0.026 B- 2504.734 6.213 227 031865.417 6.332 + 51 139 88 227 Ra -n 27177.711 1.952 7648.303 0.009 B- 1328.132 2.265 227 029176.474 2.095 + 49 138 89 227 Ac 25849.580 1.927 7650.707 0.008 B- 44.757 0.830 227 027750.666 2.068 + 47 137 90 227 Th 25804.823 2.088 7647.458 0.009 B- -1026.375 7.437 227 027702.618 2.241 + 45 136 91 227 Pa -a 26831.198 7.420 7639.490 0.033 B- -2214.264 12.146 227 028804.477 7.965 + 43 135 92 227 U -a 29045.462 9.705 7626.289 0.043 B- -3516.618 73.135 227 031181.587 10.419 + 41 134 93 227 Np -a 32562.080 72.506 7607.351 0.319 B- -4208# 123# 227 034956.832 77.838 + 39 133 94 227 Pu x 36770# 100# 7585# 0# B- * 227 039474# 107# +0 58 143 85 228 At x 41684# 401# 7597# 2# B- 6441# 401# 228 044750# 430# + 56 142 86 228 Rn 35243.465 17.677 7621.645 0.078 B- 1859.244 18.916 228 037835.418 18.977 + 54 141 87 228 Fr 33384.221 6.732 7626.368 0.030 B- 4443.953 7.021 228 035839.437 7.226 + 52 140 88 228 Ra +a 28940.268 1.996 7642.428 0.009 B- 45.540 0.634 228 031068.657 2.142 + 50 139 89 228 Ac - 28894.728 2.094 7639.196 0.009 B- 2123.743 2.645 228 031019.767 2.247 + 48 138 90 228 Th 26770.984 1.807 7645.080 0.008 B- -2152.602 4.340 228 028739.835 1.940 + 46 137 91 228 Pa -a 28923.586 4.340 7632.207 0.019 B- -298.640 14.929 228 031050.748 4.659 + 44 136 92 228 U -a 29222.226 14.354 7627.466 0.063 B- -4373.468 52.545 228 031371.351 15.409 + 42 135 93 228 Np -a 33595.694 50.572 7604.853 0.222 B- -2491.677 58.346 228 036066.462 54.291 + 40 134 94 228 Pu -a 36087.370 29.143 7590.493 0.128 B- * 228 038741.387 31.286 +0 59 144 85 229 At x 44823# 401# 7585# 2# B- 5461# 401# 229 048120# 430# + 57 143 86 229 Rn x 39362.400 13.041 7605.622 0.057 B- 3694.138 13.967 229 042257.276 14.000 + 55 142 87 229 Fr 35668.262 5.001 7618.337 0.022 B- 3106.298 16.231 229 038291.455 5.368 + 53 141 88 229 Ra x 32561.963 15.441 7628.485 0.067 B- 1872.030 19.623 229 034956.707 16.576 + 51 140 89 229 Ac x 30689.933 12.109 7633.244 0.053 B- 1104.350 12.346 229 032947.000 13.000 + 49 139 90 229 Th 29585.583 2.405 7634.650 0.011 B- -311.325 3.715 229 031761.431 2.581 + 47 138 91 229 Pa 29896.908 3.280 7629.874 0.014 B- -1313.646 6.655 229 032095.652 3.521 + 45 137 92 229 U -a 31210.554 5.938 7620.721 0.026 B- -2569.122 87.031 229 033505.909 6.374 + 43 136 93 229 Np -a 33779.675 86.848 7606.086 0.379 B- -3615.915 100.792 229 036263.974 93.235 + 41 135 94 229 Pu -a 37395.590 51.176 7586.880 0.223 B- -4754.430 101.230 229 040145.819 54.939 + 39 134 95 229 Am -a 42150.020 87.348 7562.702 0.381 B- * 229 045249.909 93.772 +0 58 144 86 230 Rn x 42048# 196# 7596# 1# B- 2561# 196# 230 045140# 210# + 56 143 87 230 Fr 39486.768 6.541 7603.704 0.028 B- 4970.462 12.198 230 042390.791 7.022 + 54 142 88 230 Ra x 34516.306 10.296 7621.914 0.045 B- 677.924 18.888 230 037054.780 11.053 + 52 141 89 230 Ac x 33838.383 15.835 7621.460 0.069 B- 2975.789 15.882 230 036327.000 17.000 + 50 140 90 230 Th 30862.593 1.210 7630.996 0.005 B- -1311.014 2.833 230 033132.358 1.299 + 48 139 91 230 Pa 32173.607 3.038 7621.895 0.013 B- 558.605 4.592 230 034539.789 3.261 + 46 138 92 230 U -a 31615.002 4.509 7620.922 0.020 B- -3621.290 51.461 230 033940.102 4.841 + 44 137 93 230 Np -a 35236.291 51.288 7601.776 0.223 B- -1698.101 53.363 230 037827.716 55.059 + 42 136 94 230 Pu -a 36934.392 14.824 7590.991 0.064 B- -5998# 134# 230 039650.703 15.913 + 40 135 95 230 Am -a 42932# 133# 7562# 1# B- * 230 046089# 143# +0 59 145 86 231 Rn x 46454# 298# 7579# 1# B- 4373# 298# 231 049870# 320# + 57 144 87 231 Fr x 42080.575 7.731 7594.500 0.033 B- 3864.089 13.749 231 045175.357 8.300 + 55 143 88 231 Ra 38216.486 11.370 7607.841 0.049 B- 2453.636 17.301 231 041027.086 12.206 + 53 142 89 231 Ac x 35762.849 13.041 7615.076 0.056 B- 1946.959 13.098 231 038393.000 14.000 + 51 141 90 231 Th 33815.891 1.218 7620.118 0.005 B- 391.487 1.460 231 036302.853 1.308 + 49 140 91 231 Pa 33424.404 1.772 7618.426 0.008 B- -381.611 2.033 231 035882.575 1.902 + 47 139 92 231 U -a 33806.015 2.670 7613.387 0.012 B- -1818.498 50.577 231 036292.252 2.866 + 45 138 93 231 Np -a 35624.513 50.547 7602.128 0.219 B- -2684.492 55.333 231 038244.490 54.264 + 43 137 94 231 Pu -a 38309.005 22.549 7587.120 0.098 B- -4101# 301# 231 041126.410 24.206 + 41 136 95 231 Am x 42410# 300# 7566# 1# B- -4860# 424# 231 045529# 322# + 39 135 96 231 Cm x 47270# 300# 7542# 1# B- * 231 050746# 322# +0 58 145 87 232 Fr x 46072.834 13.972 7579.347 0.060 B- 5575.880 16.702 232 049461.224 15.000 + 56 144 88 232 Ra 40496.953 9.151 7600.009 0.039 B- 1342.534 15.931 232 043475.270 9.823 + 54 143 89 232 Ac x 39154.419 13.041 7602.424 0.056 B- 3707.635 13.118 232 042034.000 14.000 + 52 142 90 232 Th 35446.784 1.422 7615.033 0.006 B- -499.850 7.734 232 038053.689 1.526 + 50 141 91 232 Pa + 35946.633 7.645 7609.506 0.033 B- 1337.103 7.428 232 038590.300 8.207 + 48 140 92 232 U 34609.530 1.809 7611.897 0.008 B- -2750# 100# 232 037154.860 1.942 + 46 139 93 232 Np - 37360# 100# 7597# 0# B- -1004# 102# 232 040107# 107# + 44 138 94 232 Pu -a 38363.140 17.595 7588.974 0.076 B- -4976# 300# 232 041184.526 18.888 + 42 137 95 232 Am x 43340# 300# 7564# 1# B- -2973# 362# 232 046527# 322# + 40 136 96 232 Cm -a 46312# 202# 7548# 1# B- * 232 049718# 217# +0 59 146 87 233 Fr x 48920.051 19.561 7569.239 0.084 B- 4585.991 21.369 233 052517.838 21.000 + 57 145 88 233 Ra 44334.060 8.603 7585.564 0.037 B- 3026.027 15.623 233 047594.573 9.235 + 55 144 89 233 Ac x 41308.033 13.041 7595.193 0.056 B- 2576.318 13.118 233 044346.000 14.000 + 53 143 90 233 Th 38731.715 1.425 7602.893 0.006 B- 1242.243 1.122 233 041580.208 1.529 + 51 142 91 233 Pa 37489.472 1.336 7604.866 0.006 B- 570.296 1.975 233 040246.605 1.434 + 49 141 92 233 U 36919.176 2.255 7603.956 0.010 B- -1029.415 51.005 233 039634.367 2.420 + 47 140 93 233 Np -a 37948.590 50.981 7596.181 0.219 B- -2103.179 71.642 233 040739.489 54.729 + 45 139 94 233 Pu -a 40051.769 50.351 7583.796 0.216 B- -3211# 113# 233 042997.345 54.054 + 43 138 95 233 Am -a 43263# 102# 7567# 0# B- -4031# 124# 233 046445# 109# + 41 137 96 233 Cm -a 47294.006 71.547 7545.998 0.307 B- -5567# 235# 233 050772.206 76.809 + 39 136 97 233 Bk -a 52861# 224# 7519# 1# B- * 233 056748# 240# +0 58 146 88 234 Ra x 46930.629 8.383 7576.543 0.036 B- 2089.439 16.294 234 050382.104 9.000 + 56 145 89 234 Ac x 44841.190 13.972 7582.129 0.060 B- 4228.181 14.210 234 048139.000 15.000 + 54 144 90 234 Th +a 40613.009 2.589 7596.855 0.011 B- 274.088 3.172 234 043599.860 2.779 + 52 143 91 234 Pa IT 40338.921 4.094 7594.683 0.017 B- 2193.896 4.000 234 043305.615 4.395 + 50 142 92 234 U 38145.025 1.130 7600.715 0.005 B- -1809.846 8.321 234 040950.370 1.213 + 48 141 93 234 Np - 39954.871 8.397 7589.637 0.036 B- -395.100 10.752 234 042893.320 9.014 + 46 140 94 234 Pu -a 40349.971 6.798 7584.605 0.029 B- -4111# 159# 234 043317.478 7.298 + 44 139 95 234 Am -a 44461# 159# 7564# 1# B- -2263# 159# 234 047731# 170# + 42 138 96 234 Cm -a 46724.633 17.394 7550.677 0.074 B- -6731# 143# 234 050160.959 18.673 + 40 137 97 234 Bk -a 53455# 142# 7519# 1# B- * 234 057387# 153# +0 59 147 88 235 Ra x 51130# 300# 7561# 1# B- 3773# 300# 235 054890# 322# + 57 146 89 235 Ac x 47357.155 13.972 7573.504 0.059 B- 3339.406 19.113 235 050840.000 15.000 + 55 145 90 235 Th x 44017.749 13.041 7584.385 0.055 B- 1728.853 19.113 235 047255.000 14.000 + 53 144 91 235 Pa x 42288.896 13.972 7588.413 0.059 B- 1370.050 14.017 235 045399.000 15.000 + 51 143 92 235 U 40918.846 1.117 7590.914 0.005 B- -124.262 0.852 235 043928.190 1.199 + 49 142 93 235 Np 41043.108 1.389 7587.056 0.006 B- -1139.302 20.499 235 044061.591 1.491 + 47 141 94 235 Pu -a 42182.410 20.521 7578.879 0.087 B- -2443.019 56.045 235 045284.682 22.030 + 45 140 95 235 Am -a 44625.429 52.192 7565.154 0.222 B- -3408# 208# 235 047907.371 56.030 + 43 139 96 235 Cm -a 48034# 201# 7547# 1# B- -4670# 448# 235 051567# 216# + 41 138 97 235 Bk x 52704# 401# 7524# 2# B- * 235 056580# 430# +0 58 147 89 236 Ac x 51220.992 38.191 7559.242 0.162 B- 4965.795 40.667 236 054988.000 41.000 + 56 146 90 236 Th x 46255.198 13.972 7576.968 0.059 B- 921.248 19.760 236 049657.000 15.000 + 54 145 91 236 Pa x 45333.950 13.972 7577.557 0.059 B- 2889.306 14.017 236 048668.000 15.000 + 52 144 92 236 U 42444.644 1.113 7586.484 0.005 B- -933.534 50.415 236 045566.201 1.194 + 50 143 93 236 Np IT 43378.178 50.421 7579.214 0.214 B- 476.585 50.389 236 046568.392 54.129 + 48 142 94 236 Pu 42901.593 1.811 7577.918 0.008 B- -3139# 112# 236 046056.756 1.944 + 46 141 95 236 Am -a 46041# 112# 7561# 0# B- -1814# 113# 236 049427# 120# + 44 140 96 236 Cm -a 47855.045 18.315 7550.299 0.078 B- -5687# 401# 236 051374.506 19.662 + 42 139 97 236 Bk x 53542# 401# 7523# 2# B- * 236 057480# 430# +0 59 148 89 237 Ac x 54020# 400# 7550# 2# B- 4065# 400# 237 057993# 429# + 57 147 90 237 Th x 49955.092 15.835 7563.443 0.067 B- 2427.473 20.514 237 053629.000 17.000 + 55 146 91 237 Pa x 47527.619 13.041 7570.384 0.055 B- 2137.425 13.096 237 051023.000 14.000 + 53 145 92 237 U 45390.194 1.203 7576.102 0.005 B- 518.534 0.520 237 048728.380 1.291 + 51 144 93 237 Np 44871.659 1.120 7574.989 0.005 B- -220.063 1.294 237 048171.710 1.202 + 49 143 94 237 Pu 45091.722 1.697 7570.759 0.007 B- -1478# 59# 237 048407.957 1.822 + 47 142 95 237 Am -a 46570# 59# 7561# 0# B- -2677# 93# 237 049995# 64# + 45 141 96 237 Cm -a 49247.085 70.960 7546.624 0.299 B- -3941# 235# 237 052868.923 76.178 + 43 140 97 237 Bk -a 53188# 224# 7527# 1# B- -4751# 241# 237 057100# 241# + 41 139 98 237 Cf -a 57938.921 87.287 7503.347 0.368 B- * 237 062199.993 93.706 +0 58 148 90 238 Th +a 52525# 283# 7555# 1# B- 1631# 284# 238 056388# 304# + 56 147 91 238 Pa x 50894.038 15.835 7558.344 0.067 B- 3586.255 15.906 238 054637.000 17.000 + 54 146 92 238 U 47307.783 1.493 7570.125 0.006 B- -146.874 1.201 238 050786.996 1.602 + 52 145 93 238 Np -n 47454.656 1.138 7566.221 0.005 B- 1291.443 0.457 238 050944.671 1.221 + 50 144 94 238 Pu 46163.213 1.139 7568.360 0.005 B- -2258.273 50.688 238 049558.250 1.222 + 48 143 95 238 Am -a 48421.487 50.700 7555.584 0.213 B- -1023.701 52.145 238 051982.607 54.428 + 46 142 96 238 Cm -a 49445.188 12.234 7547.996 0.051 B- -4771# 255# 238 053081.595 13.133 + 44 141 97 238 Bk -a 54216# 255# 7525# 1# B- -3061# 392# 238 058203# 274# + 42 140 98 238 Cf x 57278# 298# 7509# 1# B- * 238 061490# 320# +0 59 149 90 239 Th x 56450# 400# 7541# 2# B- 3113# 445# 239 060602# 429# + 57 148 91 239 Pa x 53337# 196# 7550# 1# B- 2765# 196# 239 057260# 210# + 55 147 92 239 U -n 50572.718 1.503 7558.561 0.006 B- 1261.661 1.493 239 054292.048 1.613 + 53 146 93 239 Np 49311.057 1.311 7560.567 0.005 B- 722.774 0.930 239 052937.599 1.407 + 51 145 94 239 Pu 48588.282 1.113 7560.318 0.005 B- -802.142 1.664 239 052161.669 1.195 + 49 144 95 239 Am -a 49390.424 1.982 7553.688 0.008 B- -1756.602 54.058 239 053022.803 2.128 + 47 143 96 239 Cm -a 51147.025 54.047 7543.065 0.226 B- -3103# 214# 239 054908.593 58.022 + 45 142 97 239 Bk -a 54250# 207# 7527# 1# B- -4019# 294# 239 058240# 222# + 43 141 98 239 Cf -a 58269# 209# 7507# 1# B- -5287# 364# 239 062554# 224# + 41 140 99 239 Es x 63556# 298# 7481# 1# B- * 239 068230# 320# +0 58 149 91 240 Pa x 56910# 200# 7538# 1# B- 4194# 200# 240 061095# 215# + 56 148 92 240 U 52715.505 2.553 7551.770 0.011 B- 399.233 17.083 240 056592.425 2.740 + 54 147 93 240 Np 52316.272 17.032 7550.173 0.071 B- 2190.891 17.015 240 056163.830 18.284 + 52 146 94 240 Pu 50125.380 1.106 7556.042 0.005 B- -1384.789 13.788 240 053811.812 1.187 + 50 145 95 240 Am +n 51510.169 13.832 7547.013 0.058 B- -214.137 13.897 240 055298.444 14.849 + 48 144 96 240 Cm 51724.306 1.906 7542.861 0.008 B- -3940# 150# 240 055528.329 2.046 + 46 143 97 240 Bk - 55664# 150# 7523# 1# B- -2327# 151# 240 059758# 161# + 44 142 98 240 Cf -a 57990.944 18.700 7510.230 0.078 B- -6208# 401# 240 062255.842 20.075 + 42 141 99 240 Es x 64199# 401# 7481# 2# B- * 240 068920# 430# +0 59 150 91 241 Pa x 59640# 300# 7528# 1# B- 3443# 358# 241 064026# 322# + 57 149 92 241 U x 56197# 196# 7539# 1# B- 1937# 208# 241 060330# 210# + 55 148 93 241 Np + 54260.175 70.719 7544.270 0.293 B- 1305.000 70.711 241 058250.697 75.920 + 53 147 94 241 Pu 52955.175 1.106 7546.439 0.005 B- 20.780 0.166 241 056849.722 1.187 + 51 146 95 241 Am 52934.395 1.114 7543.278 0.005 B- -767.434 1.168 241 056827.413 1.195 + 49 145 96 241 Cm 53701.830 1.608 7536.848 0.007 B- -2330# 200# 241 057651.288 1.726 + 47 144 97 241 Bk - 56032# 200# 7524# 1# B- -3295# 260# 241 060153# 215# + 45 143 98 241 Cf -a 59327# 166# 7507# 1# B- -4537# 280# 241 063690# 178# + 43 142 99 241 Es -a 63863# 225# 7485# 1# B- -5263# 374# 241 068560# 242# + 41 141 100 241 Fm x 69126# 298# 7460# 1# B- * 241 074210# 320# +0 58 150 92 242 U +a 58620# 201# 7532# 1# B- 1203# 283# 242 062931# 215# + 56 149 93 242 Np + 57416.932 200.004 7533.403 0.826 B- 2700.000 200.000 242 061639.615 214.713 + 54 148 94 242 Pu 54716.932 1.245 7541.327 0.005 B- -751.140 0.708 242 058741.045 1.336 + 52 147 95 242 Am -n 55468.072 1.119 7534.991 0.005 B- 664.309 0.414 242 059547.428 1.200 + 50 146 96 242 Cm 54803.764 1.142 7534.503 0.005 B- -2930# 200# 242 058834.263 1.225 + 48 145 97 242 Bk - 57734# 200# 7519# 1# B- -1653# 200# 242 061980# 215# + 46 144 98 242 Cf -a 59386.966 12.892 7509.098 0.053 B- -5414# 256# 242 063754.533 13.840 + 44 143 99 242 Es -a 64801# 256# 7483# 1# B- -3598# 475# 242 069567# 275# + 42 142 100 242 Fm x 68400# 401# 7465# 2# B- * 242 073430# 430# +0 59 151 92 243 U x 62360# 300# 7518# 1# B- 2484# 302# 243 066946# 322# + 57 150 93 243 Np IT 59876# 32# 7525# 0# B- 2121# 32# 243 064279# 34# + 55 149 94 243 Pu 57754.602 2.542 7531.008 0.010 B- 579.556 2.622 243 062002.119 2.728 + 53 148 95 243 Am 57175.046 1.388 7530.173 0.006 B- -6.952 1.569 243 061379.940 1.490 + 51 147 96 243 Cm -a 57181.998 1.496 7526.925 0.006 B- -1507.695 4.506 243 061387.403 1.606 + 49 146 97 243 Bk -a 58689.693 4.524 7517.501 0.019 B- -2300# 114# 243 063005.980 4.857 + 47 145 98 243 Cf -a 60990# 114# 7505# 0# B- -3757# 236# 243 065475# 123# + 45 144 99 243 Es -a 64747# 207# 7486# 1# B- -4640# 298# 243 069509# 222# + 43 143 100 243 Fm -a 69387# 215# 7464# 1# B- * 243 074490# 231# +0 58 151 93 244 Np x 63202# 298# 7514# 1# B- 3396# 298# 244 067850# 320# + 56 150 94 244 Pu 59806.028 2.346 7524.815 0.010 B- -73.168 2.686 244 064204.415 2.518 + 54 149 95 244 Am + 59879.196 1.492 7521.308 0.006 B- 1427.300 1.000 244 064282.964 1.601 + 52 148 96 244 Cm -a 58451.896 1.107 7523.952 0.005 B- -2261.989 14.357 244 062750.694 1.188 + 50 147 97 244 Bk -a 60713.885 14.399 7511.475 0.059 B- -764.294 14.572 244 065179.039 15.457 + 48 146 98 244 Cf 61478.179 2.618 7505.136 0.011 B- -4547# 181# 244 065999.543 2.810 + 46 145 99 244 Es -a 66026# 181# 7483# 1# B- -2940# 271# 244 070881# 195# + 44 144 100 244 Fm -a 68966# 201# 7468# 1# B- * 244 074038# 216# +0 59 152 93 245 Np x 65890# 300# 7505# 1# B- 2712# 300# 245 070736# 322# + 57 151 94 245 Pu -n 63178.179 13.620 7513.281 0.056 B- 1277.710 13.733 245 067824.568 14.621 + 55 150 95 245 Am +a 61900.469 1.887 7515.303 0.008 B- 895.889 1.549 245 066452.890 2.025 + 53 149 96 245 Cm 61004.580 1.150 7515.767 0.005 B- -809.256 1.496 245 065491.113 1.234 + 51 148 97 245 Bk -a 61813.836 1.793 7509.270 0.007 B- -1571.374 2.586 245 066359.885 1.924 + 49 147 98 245 Cf 63385.210 2.428 7499.663 0.010 B- -2981# 200# 245 068046.825 2.606 + 47 146 99 245 Es -a 66366# 200# 7484# 1# B- -3821# 279# 245 071247# 215# + 45 145 100 245 Fm -a 70187# 195# 7466# 1# B- -5085# 362# 245 075349# 209# + 43 144 101 245 Md -a 75272# 305# 7442# 1# B- * 245 080808# 328# +0 58 152 94 246 Pu 65394.801 14.985 7506.539 0.061 B- 401# 14# 246 070204.209 16.087 + 56 151 95 246 Am IT 64994# 18# 7505# 0# B- 2377# 18# 246 069774# 19# + 54 150 96 246 Cm 62616.967 1.526 7511.471 0.006 B- -1350.000 60.000 246 067222.082 1.638 + 52 149 97 246 Bk - 63966.967 60.019 7502.803 0.244 B- -123.325 60.020 246 068671.367 64.433 + 50 148 98 246 Cf 64090.292 1.515 7499.121 0.006 B- -3810# 224# 246 068803.762 1.626 + 48 147 99 246 Es -a 67901# 224# 7480# 1# B- -2288# 224# 246 072894# 240# + 46 146 100 246 Fm -a 70188.833 15.333 7467.970 0.062 B- -5926# 260# 246 075350.815 16.460 + 44 145 101 246 Md -a 76115# 259# 7441# 1# B- * 246 081713# 278# +0 59 153 94 247 Pu x 69108# 196# 7494# 1# B- 1954# 220# 247 074190# 210# + 57 152 95 247 Am + 67153# 100# 7499# 0# B- 1620# 100# 247 072092# 107# + 55 151 96 247 Cm 65533.143 3.797 7501.931 0.015 B- 43.581 6.324 247 070352.726 4.076 + 53 150 97 247 Bk -a 65489.562 5.189 7498.940 0.021 B- -614.341 16.188 247 070305.940 5.570 + 51 149 98 247 Cf +a 66103.903 15.334 7493.285 0.062 B- -2474.485 24.760 247 070965.462 16.461 + 49 148 99 247 Es +a 68578.388 19.441 7480.100 0.079 B- -3094# 116# 247 073621.932 20.870 + 47 147 100 247 Fm +a 71673# 115# 7464# 0# B- -4264# 237# 247 076944# 123# + 45 146 101 247 Md -a 75937# 207# 7444# 1# B- * 247 081521# 222# +0 58 153 95 248 Am + 70563# 200# 7487# 1# B- 3170# 200# 248 075752# 215# + 56 152 96 248 Cm 67392.755 2.358 7496.728 0.010 B- -687# 71# 248 072349.101 2.531 + 54 151 97 248 Bk IT 68080# 71# 7491# 0# B- 842# 71# 248 073087# 76# + 52 150 98 248 Cf -a 67238.012 5.121 7491.043 0.021 B- -3061# 53# 248 072182.978 5.497 + 50 149 99 248 Es -a 70299# 52# 7476# 0# B- -1599# 53# 248 075469# 56# + 48 148 100 248 Fm 71897.857 8.497 7465.944 0.034 B- -5250# 238# 248 077185.528 9.122 + 46 147 101 248 Md -a 77148# 237# 7442# 1# B- -3473# 327# 248 082822# 255# + 44 146 102 248 No -a 80621# 224# 7424# 1# B- * 248 086550# 241# +0 59 154 95 249 Am x 73104# 298# 7479# 1# B- 2353# 298# 249 078480# 320# + 57 153 96 249 Cm -n 70750.702 2.371 7485.550 0.010 B- 904.317 2.594 249 075954.006 2.545 + 55 152 97 249 Bk + 69846.384 1.249 7486.040 0.005 B- 123.600 0.400 249 074983.182 1.340 + 53 151 98 249 Cf 69722.784 1.183 7483.394 0.005 B- -1452# 30# 249 074850.491 1.270 + 51 150 99 249 Es -a 71175# 30# 7474# 0# B- -2344# 31# 249 076409# 32# + 49 149 100 249 Fm 73519.188 6.212 7461.864 0.025 B- -3713# 201# 249 078926.098 6.668 + 47 148 101 249 Md -a 77232# 201# 7444# 1# B- -4550# 344# 249 082912# 216# + 45 147 102 249 No -a 81782# 279# 7422# 1# B- * 249 087797# 300# +0 58 154 96 250 Cm -nn 72989.594 10.274 7478.938 0.041 B- 39.616 10.894 250 078357.556 11.029 + 56 153 97 250 Bk +a 72949.978 3.719 7475.967 0.015 B- 1779.587 3.386 250 078315.027 3.992 + 54 152 98 250 Cf -a 71170.391 1.538 7479.956 0.006 B- -2055# 100# 250 076404.561 1.651 + 52 151 99 250 Es - 73225# 100# 7469# 0# B- -847# 100# 250 078611# 107# + 50 150 100 250 Fm 74072.243 7.888 7462.090 0.032 B- -4558# 301# 250 079519.828 8.468 + 48 149 101 250 Md -a 78630# 301# 7441# 1# B- -2933# 362# 250 084413# 323# + 46 148 102 250 No -a 81564# 201# 7426# 1# B- * 250 087562# 215# +0 59 155 96 251 Cm + 76648.018 22.698 7466.722 0.090 B- 1420.000 20.000 251 082285.036 24.367 + 57 154 97 251 Bk + 75228.018 10.734 7469.263 0.043 B- 1093.000 10.000 251 080760.603 11.523 + 55 153 98 251 Cf -a 74135.018 3.901 7470.500 0.016 B- -377.259 7.057 251 079587.219 4.187 + 53 152 99 251 Es -a 74512.277 5.994 7465.881 0.024 B- -1441.641 16.342 251 079992.224 6.434 + 51 151 100 251 Fm +a 75953.919 15.203 7457.020 0.061 B- -3012.825 24.271 251 081539.889 16.320 + 49 150 101 251 Md +a 78966.744 18.919 7441.900 0.075 B- -3882# 116# 251 084774.291 20.310 + 47 149 102 251 No IT 82849# 114# 7423# 0# B- -4879# 319# 251 088942# 123# + 45 148 103 251 Lr x 87728# 298# 7401# 1# B- * 251 094180# 320# +0 60 156 96 252 Cm x 79056# 298# 7460# 1# B- 521# 359# 252 084870# 320# + 58 155 97 252 Bk + 78535# 200# 7459# 1# B- 2500# 200# 252 084310# 215# + 56 154 98 252 Cf -a 76034.617 2.358 7465.347 0.009 B- -1260.000 50.000 252 081626.523 2.531 + 54 153 99 252 Es - 77294.617 50.056 7457.242 0.199 B- 478.990 50.351 252 082979.189 53.736 + 52 152 100 252 Fm -a 76815.627 5.498 7456.038 0.022 B- -3695# 130# 252 082464.972 5.902 + 50 151 101 252 Md IT 80510# 130# 7438# 1# B- -2361# 131# 252 086432# 140# + 48 150 102 252 No 82871.427 9.292 7425.798 0.037 B- -5866# 238# 252 088966.141 9.975 + 46 149 103 252 Lr -a 88737# 238# 7399# 1# B- * 252 095263# 255# +0 59 156 97 253 Bk -a 80929# 359# 7451# 1# B- 1627# 359# 253 086880# 385# + 57 155 98 253 Cf -a 79301.567 4.257 7454.829 0.017 B- 291.030 4.385 253 085133.738 4.570 + 55 154 99 253 Es -a 79010.538 1.250 7452.887 0.005 B- -335.202 2.713 253 084821.305 1.341 + 53 153 100 253 Fm -a 79345.740 2.932 7448.470 0.012 B- -1827# 31# 253 085181.160 3.148 + 51 152 101 253 Md -a 81173# 31# 7438# 0# B- -3186# 32# 253 087143# 34# + 49 151 102 253 No 84358.735 6.912 7422.471 0.027 B- -4217# 202# 253 090562.831 7.420 + 47 150 103 253 Lr -a 88575# 202# 7403# 1# B- -4982# 457# 253 095089# 217# + 45 149 104 253 Rf -a 93557# 410# 7380# 2# B- * 253 100438# 440# +0 60 157 97 254 Bk x 84393# 298# 7440# 1# B- 3052# 298# 254 090600# 320# + 58 156 98 254 Cf -a 81341.401 11.462 7449.225 0.045 B- -649.193 12.113 254 087323.590 12.304 + 56 155 99 254 Es -a 81990.594 4.010 7443.589 0.016 B- 1087.800 3.202 254 088020.527 4.304 + 54 154 100 254 Fm -a 80902.794 2.414 7444.792 0.010 B- -2550# 100# 254 086852.726 2.591 + 52 153 101 254 Md - 83453# 100# 7432# 0# B- -1271# 100# 254 089590# 107# + 50 152 102 254 No 84723.347 9.658 7423.590 0.038 B- -5148# 301# 254 090954.259 10.367 + 48 151 103 254 Lr -a 89871# 301# 7400# 1# B- -3327# 414# 254 096481# 323# + 46 150 104 254 Rf -a 93199# 283# 7384# 1# B- * 254 100053# 304# +0 59 157 98 255 Cf + 84809# 200# 7438# 1# B- 720# 200# 255 091047# 215# + 57 156 99 255 Es -a 84089.274 10.817 7437.821 0.042 B- 289.620 10.247 255 090273.553 11.612 + 55 155 100 255 Fm -a 83799.654 4.291 7435.888 0.017 B- -1043.416 7.747 255 089962.633 4.607 + 53 154 101 255 Md -a 84843.070 6.553 7428.729 0.026 B- -1964.164 16.281 255 091082.787 7.035 + 51 153 102 255 No x 86807.234 14.904 7417.958 0.058 B- -3140.066 23.138 255 093191.404 16.000 + 49 152 103 255 Lr x 89947.300 17.698 7402.576 0.069 B- -4382# 116# 255 096562.404 19.000 + 47 151 104 255 Rf -a 94330# 115# 7382# 0# B- -5263# 377# 255 101267# 123# + 45 150 105 255 Db -a 99593# 359# 7359# 1# B- * 255 106918# 385# +0 60 158 98 256 Cf -a 87041# 314# 7432# 1# B- -146# 330# 256 093442# 338# + 58 157 99 256 Es + 87187# 100# 7428# 0# B- 1700# 100# 256 093599# 108# + 56 156 100 256 Fm -a 85486.817 5.600 7431.780 0.022 B- -1969# 123# 256 091773.878 6.012 + 54 155 101 256 Md IT 87456# 122# 7421# 0# B- -366# 123# 256 093888# 132# + 52 154 102 256 No -a 87822.062 7.743 7416.546 0.030 B- -3924.536 83.264 256 094280.866 8.312 + 50 153 103 256 Lr x 91746.598 82.903 7398.160 0.324 B- -2475.451 84.802 256 098494.029 89.000 + 48 152 104 256 Rf -a 94222.049 17.848 7385.434 0.070 B- -6276# 241# 256 101151.535 19.160 + 46 151 105 256 Db -a 100498# 240# 7358# 1# B- * 256 107889# 258# +0 59 158 99 257 Es -a 89403# 411# 7422# 2# B- 813# 411# 257 095979# 441# + 57 157 100 257 Fm -a 88590.033 4.486 7422.194 0.017 B- -403.020 4.715 257 095105.317 4.815 + 55 156 101 257 Md -a 88993.053 1.601 7417.582 0.006 B- -1254.202 6.661 257 095537.977 1.718 + 53 155 102 257 No -a 90247.256 6.678 7409.657 0.026 B- -2418# 45# 257 096884.419 7.169 + 51 154 103 257 Lr -a 92665# 44# 7397# 0# B- -3201# 45# 257 099480# 47# + 49 153 104 257 Rf -a 95866.427 10.817 7381.704 0.042 B- -4340# 203# 257 102916.848 11.612 + 47 152 105 257 Db -a 100207# 203# 7362# 1# B- * 257 107576# 218# +0 60 159 99 258 Es x 92702# 401# 7412# 2# B- 2276# 448# 258 099520# 430# + 58 158 100 258 Fm -a 90426# 200# 7418# 1# B- -1260# 200# 258 097077# 215# + 56 157 101 258 Md -a 91686.792 4.419 7409.675 0.017 B- 209# 100# 258 098429.825 4.743 + 54 156 102 258 No -a 91478# 100# 7407# 0# B- -3304# 143# 258 098205# 107# + 52 155 103 258 Lr -a 94782# 102# 7392# 0# B- -1559# 107# 258 101753# 109# + 50 154 104 258 Rf -a 96341.036 31.967 7382.538 0.124 B- -5456# 307# 258 103426.362 34.317 + 48 153 105 258 Db -a 101797# 305# 7358# 1# B- -3447# 513# 258 109284# 328# + 46 152 106 258 Sg -a 105244# 413# 7342# 2# B- * 258 112984# 443# +0 59 159 100 259 Fm -a 93704# 283# 7407# 1# B- 80# 346# 259 100596# 304# + 57 158 101 259 Md -a 93624# 200# 7405# 1# B- -454# 200# 259 100510# 215# + 55 157 102 259 No -a 94078.569 6.589 7399.974 0.025 B- -1773# 71# 259 100997.503 7.073 + 53 156 103 259 Lr -a 95852# 71# 7390# 0# B- -2510# 101# 259 102901# 76# + 51 155 104 259 Rf -a 98362# 72# 7377# 0# B- -3629# 90# 259 105596# 78# + 49 154 105 259 Db -a 101991.016 53.040 7360.362 0.205 B- -4529# 126# 259 109491.865 56.940 + 47 153 106 259 Sg -a 106520# 115# 7340# 0# B- * 259 114353# 123# +0 60 160 100 260 Fm -a 95766# 435# 7402# 2# B- -786# 537# 260 102809# 467# + 58 159 101 260 Md -a 96552# 316# 7396# 1# B- 940# 374# 260 103653# 340# + 56 158 102 260 No -a 95612# 200# 7397# 1# B- -2665# 235# 260 102643# 215# + 54 157 103 260 Lr -a 98277# 124# 7383# 0# B- -870# 236# 260 105504# 133# + 52 156 104 260 Rf -a 99147# 200# 7377# 1# B- -4526# 221# 260 106439# 215# + 50 155 105 260 Db -a 103673# 93# 7357# 0# B- -2875# 95# 260 111297# 100# + 48 154 106 260 Sg -a 106547.552 20.536 7342.562 0.079 B- -6776# 246# 260 114383.508 22.045 + 46 153 107 260 Bh -a 113323# 245# 7313# 1# B- * 260 121658# 263# +0 59 160 101 261 Md -a 98578# 509# 7391# 2# B- 123# 547# 261 105828# 546# + 57 159 102 261 No -a 98455# 200# 7388# 1# B- -1103# 283# 261 105696# 215# + 55 158 103 261 Lr -a 99558# 200# 7381# 1# B- -1761# 206# 261 106880# 215# + 53 157 104 261 Rf -a 101318.594 50.444 7371.384 0.193 B- -2990# 121# 261 108769.990 54.153 + 51 156 105 261 Db -a 104308# 110# 7357# 0# B- -3697# 112# 261 111980# 118# + 49 155 106 261 Sg -a 108005.043 18.494 7339.770 0.071 B- -5128# 210# 261 115948.188 19.853 + 47 154 107 261 Bh -a 113133# 209# 7317# 1# B- * 261 121454# 224# +0 60 161 101 262 Md -a 101627# 500# 7382# 2# B- 1526# 617# 262 109101# 537# + 58 160 102 262 No -a 100101# 361# 7385# 1# B- -2000# 412# 262 107463# 387# + 56 159 103 262 Lr -a 102102# 200# 7374# 1# B- -291# 300# 262 109611# 215# + 54 158 104 262 Rf -a 102393# 224# 7370# 1# B- -3861# 265# 262 109923# 240# + 52 157 105 262 Db -a 106253# 143# 7352# 1# B- -2112# 147# 262 114068# 154# + 50 156 106 262 Sg -a 108365.771 35.411 7341.185 0.135 B- -6176# 308# 262 116335.446 38.015 + 48 155 107 262 Bh -a 114541# 306# 7315# 1# B- * 262 122965# 328# +0 59 161 102 263 No -a 103129# 490# 7376# 2# B- -600# 566# 263 110714# 526# + 57 160 103 263 Lr -a 103729# 283# 7371# 1# B- -1027# 322# 263 111358# 304# + 55 159 104 263 Rf -a 104756# 153# 7364# 1# B- -2355# 227# 263 112460# 164# + 53 158 105 263 Db -a 107111# 168# 7352# 1# B- -3079# 193# 263 114988# 181# + 51 157 106 263 Sg -a 110190# 95# 7337# 0# B- -4306# 319# 263 118294# 102# + 49 156 107 263 Bh -a 114496# 305# 7318# 1# B- -5182# 329# 263 122916# 327# + 47 155 108 263 Hs -a 119678# 125# 7295# 0# B- * 263 128480# 134# +0 60 162 102 264 No -a 105011# 591# 7371# 2# B- -1366# 734# 264 112734# 634# + 58 161 103 264 Lr -a 106377# 436# 7363# 2# B- 300# 566# 264 114200# 468# + 56 160 104 264 Rf -a 106077# 361# 7361# 1# B- -3285# 431# 264 113878# 387# + 54 159 105 264 Db -a 109362# 235# 7346# 1# B- -1420# 368# 264 117405# 253# + 52 158 106 264 Sg -a 110782# 283# 7338# 1# B- -5276# 334# 264 118929# 304# + 50 157 107 264 Bh -a 116058# 177# 7315# 1# B- -3506# 180# 264 124593# 190# + 48 156 108 264 Hs -a 119563.222 28.881 7298.375 0.109 B- * 264 128356.405 31.005 +0 59 162 103 265 Lr -a 108233# 547# 7359# 2# B- -457# 655# 265 116193# 587# + 57 161 104 265 Rf -a 108690# 361# 7354# 1# B- -1793# 424# 265 116683# 387# + 55 160 105 265 Db -a 110483# 224# 7344# 1# B- -2312# 255# 265 118608# 240# + 53 159 106 265 Sg -a 112794# 123# 7333# 0# B- -3621# 264# 265 121090# 132# + 51 158 107 265 Bh -a 116415# 234# 7316# 1# B- -4485# 235# 265 124977# 251# + 49 157 108 265 Hs -a 120900.283 23.958 7296.247 0.090 B- -5778# 452# 265 129791.799 25.719 + 47 156 109 265 Mt -a 126678# 451# 7271# 2# B- * 265 135995# 484# +0 60 163 103 266 Lr -a 111622# 583# 7349# 2# B- 1546# 749# 266 119831# 626# + 58 162 104 266 Rf -a 110076# 469# 7352# 2# B- -2660# 548# 266 118172# 504# + 56 161 105 266 Db -a 112737# 283# 7339# 1# B- -881# 374# 266 121028# 304# + 54 160 106 266 Sg -a 113618# 245# 7332# 1# B- -4487# 294# 266 121973# 263# + 52 159 107 266 Bh -a 118104# 163# 7313# 1# B- -3032# 167# 266 126790# 175# + 50 158 108 266 Hs -a 121136.373 38.695 7298.273 0.145 B- -6826# 309# 266 130045.252 41.540 + 48 157 109 266 Mt -a 127962# 307# 7270# 1# B- * 266 137373# 329# +0 59 163 104 267 Rf -a 113444# 575# 7342# 2# B- -630# 707# 267 121787# 617# + 57 162 105 267 Db -a 114074# 412# 7336# 2# B- -1732# 486# 267 122464# 443# + 55 161 106 267 Sg -a 115806# 257# 7327# 1# B- -2960# 367# 267 124322# 276# + 53 160 107 267 Bh -a 118766# 263# 7313# 1# B- -3887# 279# 267 127500# 282# + 51 159 108 267 Hs -a 122653# 96# 7295# 0# B- -5138# 512# 267 131673# 103# + 49 158 109 267 Mt -a 127791# 503# 7273# 2# B- -6089# 521# 267 137189# 540# + 47 157 110 267 Ds -a 133880# 135# 7248# 1# B- * 267 143726# 145# +0 60 164 104 268 Rf -a 115476# 662# 7337# 2# B- -1586# 848# 268 123968# 711# + 58 163 105 268 Db -a 117062# 529# 7328# 2# B- 260# 707# 268 125671# 568# + 56 162 106 268 Sg -a 116802# 469# 7326# 2# B- -4005# 605# 268 125392# 504# + 54 161 107 268 Bh -a 120807# 381# 7308# 1# B- -2023# 475# 268 129691# 409# + 52 160 108 268 Hs -a 122830# 283# 7298# 1# B- -6321# 367# 268 131863# 304# + 50 159 109 268 Mt -a 129151# 233# 7271# 1# B- -4497# 381# 268 138649# 250# + 48 158 110 268 Ds -a 133648# 301# 7252# 1# B- * 268 143477# 324# +0 59 164 105 269 Db -a 119148# 624# 7323# 2# B- -614# 722# 269 127911# 669# + 57 163 106 269 Sg -a 119763# 364# 7318# 1# B- -1715# 522# 269 128570# 391# + 55 162 107 269 Bh -a 121478# 374# 7309# 1# B- -3086# 394# 269 130412# 402# + 53 161 108 269 Hs -a 124564# 124# 7294# 0# B- -4806# 480# 269 133725# 133# + 51 160 109 269 Mt -a 129370# 463# 7273# 2# B- -5465# 464# 269 138884# 497# + 49 159 110 269 Ds -a 134834.709 31.403 7250.154 0.117 B- * 269 144751.021 33.712 +0 60 165 105 270 Db -a 122307# 617# 7314# 2# B- 816# 831# 270 131302# 662# + 58 164 106 270 Sg -a 121491# 557# 7314# 2# B- -2735# 627# 270 130426# 598# + 56 163 107 270 Bh -a 124226# 287# 7301# 1# B- -886# 379# 270 133362# 308# + 54 162 108 270 Hs -a 125112# 248# 7295# 1# B- -5598# 301# 270 134314# 266# + 52 161 109 270 Mt -a 130710# 170# 7271# 1# B- -3968# 177# 270 140323# 183# + 50 160 110 270 Ds -a 134678.282 48.011 7253.775 0.178 B- * 270 144583.090 51.542 +0 59 165 106 271 Sg -a 124757# 585# 7305# 2# B- -1164# 718# 271 133932# 628# + 57 164 107 271 Bh -a 125921# 415# 7298# 2# B- -1819# 501# 271 135182# 446# + 55 163 108 271 Hs -a 127740# 280# 7288# 1# B- -3361# 433# 271 137135# 301# + 53 162 109 271 Mt -a 131101# 330# 7273# 1# B- -4847# 344# 271 140742# 354# + 51 161 110 271 Ds -a 135948# 97# 7252# 0# B- * 271 145946# 104# +0 60 166 106 272 Sg -a 126580# 727# 7301# 3# B- -2209# 901# 272 135890# 781# + 58 165 107 272 Bh -a 128789# 532# 7290# 2# B- -217# 737# 272 138261# 571# + 56 164 108 272 Hs -a 129006# 510# 7286# 2# B- -4575# 704# 272 138494# 547# + 54 163 109 272 Mt -a 133581# 485# 7267# 2# B- -2433# 637# 272 143406# 521# + 52 162 110 272 Ds -a 136015# 413# 7255# 2# B- -6758# 474# 272 146018# 443# + 50 161 111 272 Rg -a 142773# 233# 7227# 1# B- * 272 153273# 251# +0 61 167 106 273 Sg x 130018# 503# 7291# 2# B- -615# 855# 273 139580# 540# + 59 166 107 273 Bh -a 130633# 692# 7286# 3# B- -1257# 783# 273 140240# 743# + 57 165 108 273 Hs -a 131890# 367# 7279# 1# B- -2822# 561# 273 141590# 394# + 55 164 109 273 Mt -a 134713# 424# 7265# 2# B- -3643# 445# 273 144620# 455# + 53 163 110 273 Ds -a 138356# 134# 7249# 0# B- -4339# 543# 273 148531# 144# + 51 162 111 273 Rg -a 142695# 526# 7231# 2# B- * 273 153189# 565# +0 60 167 107 274 Bh -a 133682# 619# 7278# 2# B- 196# 856# 274 143513# 664# + 58 166 108 274 Hs -a 133486# 592# 7276# 2# B- -3760# 689# 274 143303# 635# + 56 165 109 274 Mt -a 137246# 354# 7259# 1# B- -1952# 526# 274 147339# 380# + 54 164 110 274 Ds -a 139197# 389# 7249# 1# B- -5416# 428# 274 149434# 418# + 52 163 111 274 Rg -a 144613# 177# 7227# 1# B- * 274 155249# 190# +0 61 168 107 275 Bh x 135691# 596# 7273# 2# B- -929# 837# 275 145670# 640# + 59 167 108 275 Hs -a 136620# 587# 7267# 2# B- -2209# 721# 275 146667# 631# + 57 166 109 275 Mt -a 138829# 418# 7256# 2# B- -2736# 586# 275 149039# 449# + 55 165 110 275 Ds -a 141565# 410# 7244# 1# B- -3731# 661# 275 151976# 441# + 53 164 111 275 Rg -a 145296# 519# 7227# 2# B- * 275 155981# 557# +0 60 168 108 276 Hs -a 138285# 754# 7264# 3# B- -3029# 923# 276 148455# 810# + 58 167 109 276 Mt -a 141315# 532# 7250# 2# B- -1227# 763# 276 151708# 571# + 56 166 110 276 Ds -a 142541# 548# 7243# 2# B- -4945# 834# 276 153024# 588# + 54 165 111 276 Rg -a 147486# 629# 7222# 2# B- -2866# 866# 276 158333# 675# + 52 164 112 276 Cn x 150352# 596# 7209# 2# B- * 276 161410# 640# +0 61 169 108 277 Hs -a 141493# 541# 7255# 2# B- -1475# 884# 277 151899# 581# + 59 168 109 277 Mt -a 142968# 699# 7247# 3# B- -2172# 798# 277 153483# 751# + 57 167 110 277 Ds -a 145140# 384# 7237# 1# B- -3197# 646# 277 155815# 412# + 55 166 111 277 Rg -a 148338# 520# 7222# 2# B- -4065# 539# 277 159247# 558# + 53 165 112 277 Cn -a 152403# 143# 7205# 1# B- * 277 163611# 153# +0 60 169 109 278 Mt -a 145736# 621# 7240# 2# B- -645# 881# 278 156454# 666# + 58 168 110 278 Ds -a 146381# 625# 7235# 2# B- -4136# 719# 278 157146# 671# + 56 167 111 278 Rg -a 150517# 357# 7218# 1# B- -2415# 565# 278 161587# 383# + 54 166 112 278 Cn -a 152932# 438# 7206# 2# B- -5957# 475# 278 164179# 470# + 52 165 113 278 Ed -a 158889# 184# 7182# 1# B- * 278 170574# 198# +0 61 170 109 279 Mt -a 147496# 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\n", 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\n", 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\n", +======= + "image/png": 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GPcJzB5ZQba/j5cNvsmjsw2iV0bshqyBciMdRR0v5B0iSH0PiuH6XRF2ISKQEQRgw/EE/u+r3sL7yK2zerrv0waY85ufPIc+Y0yvnMGmM/Grsozx34BVO2apYUvQWT455MOqH+QThbLyuZlrKlyMFvehNI0jInDugkigQiZQgCANAUAqyt/Eg605tps1tASArdhDz8+cwLH5wr1/4E3Xx/Grcozx/4BVKrRW8euQdHhv9ACq5uORGCru3k49LPkOn0jEz82rM+sRwNynq+DwWmsveIxhwoYsbQmLOTchkA2/nOdGrBUHotyRJoqj1GGsrNtLgaAIgVZ/MDXmzGWMeGdI752R9Er8a9yjPHVjCcUsJbxx9j0dG3otCrgjZOYWL0+Bo4pXDb9Lm7qrtt7NuN5eljOXa7Omkx4jFQBfD7+2guexdgv5ONDE5JOUuQCYbmH/bYrK5ELFEDKNfOGN40lLGmooNVNqqAUjQxjM3dxY/Sx2PvA/vmus6G3j+wBKcfhfjkkfz88I7oyaZ6o998ISllNePvovL7yY7NpM0Qwp7mg4QlIIAjDGPZE72NWTFDQpzS3tHKGIY8DloKl2G39OGWp9BcsG9yPv50LWYbC4IwoBRaatmTfkGTraXARCrimFOzgwmZ0wKy9BaRkwai8Y+zOKDr3GwuQiVXMm9w2/v02RO6LKzfjcfnvyUoBRkrHkU9xcuRK1Qc33uTL6s3s6uhr0cbjnK4ZajDE8YwpycGRSYcsPd7IgS9LtoLn8Pv6cNlTaF5Py7+n0SdSHiidQ/KC4+yssvL8bv9zNx4iQAvF4vXq+Xp576px63acWK5dx++10AbNq0nr/+9U9s2LC1x8ftr/rj3fBA05cxrO9s5POKjRxuPQaATqllZtY0pmdOQRMBF/qKjkpePPQ63oCXyemTuHPoLRE/Kbe/9MGgFGRN+QY2V28DYFbWNObnz/lJMtvhsfFVzdd8U/cd3kBX7aV8Yw6zc2ZQmDAk4uN1Nr0Zw2DAQ3PZe3iddSg1iaQMvh+FamAUnj3fEymRSP3IG28sxeVysWjR0wB4PB727dvD5Mk9Lyy2YMENrFy59pz/LfxQf7mID2R9EcNWl4V1pzaxt/EgEhJquYppmVOYlXU1epU+pOe+VCXtZbx8+E18QT/TBk1mweD5Ef3l3B/6oDfg5e3ijzjUcgS5TM4dQ29mcvqk876n0+dgW81OttXuxHW6PEZWbAazs69htHlEVD1N7K0YSkE/zeXL8XRWolAZSRnyAEr1wNkKKeqG9tZ9XER1uaVXj5mVn8Dc20Zf0nv8fj9LlrzEjTfewh//+D9kZmZRVVXJXXfdR2xsLH/+8x8oKBjCQw89xtKlf+PIkcO89NKrrFu3hqVL/8ZNN91KS0szZWUlzJt3E52ddt54YykjRozi8suvBGD16lUUFx+lvd3CH//4VxSK6Jg7IQjh1uGxsaHyK3bW7yEgBVDIFEzJmMTs7BkYNee+6IXTkPgCHhl1P68WLWNb7U5UchU35l8X0clUNOvw2Fl6ZBlVthp0Si0Pj7yXYQmDL/i+GJWBeXnXMiPrKr6p+5Yt1d9Qba/jtaPvkmpIYXb2dCYkj4mauW49JUkBWk59jKezErkyhuTB9w6oJOpCIjKRCrcDB/bxwgt/QZIkZDIZf/jDf/PMM//CsGGFHDt2lD/+8X9YsuRNpk6dRkNDPQDz59/MkSOHAZg7dz7r13/O8OGFPPjgo5w4UcywYYW8++5bPPTQYz8414QJE7npplv5zW+eprS0hGHDhvf55xWEaOLwOdlctY1ttTvxBX3IkDEpdQLX584iSZcQ7uZd0IjEoTw48h5eP/oum6u3oVaouD53Vrib1e/Udzby8uE3afdYSdTG88SYB0kzpFzSMXRKLddmT2faoMnsqt/L5uptNDqaeLv4Q9ZVbGJW9jQmpV3Wr8taSFKQtsrVuG2lyBU6kgvuQaWJ/H7WlyIy+pf65OhsevI4c/z4y1i06GkkSaKmppq1az8lPT0DgEGDBlFWVnJRx8nO7pqkOGxY4TlfM2hQJtC1ybHT6ehWewVhIHD7PWyr3cGX1dtx+d1A1wqrebnXRt2S9THmETxQeCdvHVvOulObUclVzMqeFu5m9RvH20p4/eh7uANucuOyeGz0Az3aRFqtUDMtczJTMiaxp/EAm6q20uJq44OTn7C+8itmZF3F5PRJETEXrzdJkoSlZh1O6zFkcjXm/LtQ65LD3ayIE5GJVKSQyWRkZWVTUDCEurpa4uKM1NTUMHjwEAD0ev2Z5KepqfGs7//hf3eNq5eUnGDIkGFnfY0gCD/kC/rZUfcdGyu3YPd1AjAsfjDz8+eQHZcZ5tZ134SUMfiDft45/hGry79AJVcxLXNyuJsV9b6p+44VJasJSkHGJ4/m3uELUStUvXJspVzJlek/Y1LqBA42F7Gxaiv1jkZWla5lY+UWpmdO5epBV6BTRu/+it+TJAlr3SYcbQeRyZSY8+9EY8gId7MikuLZZ599tq9P2hc7UXdnx+sTJ4r5/PPPaGxsQK83kJubB8DIkaP5+OMPOHWqgt27v+XJJ5/CZIonKSmZ1atX0dLShNXazp4935GZmUVjYz2bNq3H6XQyePBQdLquTlVUdIiSkpPU19fR3t7O1q1fYTLFI0mwdu2ntLe3c8UVk5HLo2ciYyiJneejX09iGAgG2N14gNePvsv+5sN4g15y4rK4v3Ah1+fOwqSJ/jkag2LTiVPHcrTtOMWWk5g0cWTFRk79omjqg0EpyKdl61hbsQEJidnZ17Bw6E0oQzDsJpfJSY9JY0rGJDJjM2h1WWhxtVLSXsY3dd/h8XvIiEmLiG2BuhtDW+PX2Jp3gkyOOW8huti8ELQuehgM594vU6zaEyKWiGH0604MJUniUMtR1lZspMnZDEC6IZUb8mYzKqmwXz7F3Vqzg5Wla5Ah477ChfwsdXy4mwRETx/0BLy8fewDDrceQy6Tc9fQW7kifWKfnV+SJE60l7Kxcgul1goA1HIVUzIuZ0bWVWFN+rsTQ1vzt1jrNgMyknJuRR9/7ukpA0XUrdoTBGHgkSSJE5ZS1lSsp9peB0CSNoG5eddyWcrYqFpyfqmmZ07BF/DxWcV63in+CKVcyfjkns8VHQisng6WFi2j2l6HTqnj0VH3MiS+oE/bIJPJGJ4whOEJQyi3VrKh6iuK206ypeYbvq7dxeVplzEre3pULIbobD1wOomChKwbRBJ1EUQiJQhC2FV0VLGmfP2Zu3mjOpbrcmdyRdrEkAzNRKJrc6bjDfpYX/klbx1bjkquZFSS+BI7n7rOBl4+/CZWTwdJ2gSeHPMgKYbwTobON+XwC9ND1Njr2Fi5hUMtR9lRv5tdDXu5LGUss7Onk3qJqwf7isNyFEvN5wDED5pDTOLYMLcoOoihPSFiiRhGvwvFsK6zgbUVGzjSehwAg1LPrOxpXD3oyoiYX9LXJEni0/J1fFX9NUqZgsfH/JzhCUPC1p5I7oPH2k7wxtH38AS85BmzeXTU/T1amRcqjY4mNlVtY2/TQYJSEBmyrv38cq4hMzb0k7cvNobOjpO0VqwAJIxp0zGm9rwIdX8iKpsLUUnEMPqdK4bNzlbWndrE/qbDXdXIFWpmZE5lRtZV/WLFU09IksTHpZ+xvXYXKrmKX4x5kMHx+WFpS6T2we21u/i45DMkJC5LGcs9w25D1Usr80Kl1WVhc/U2vqvfi18KAFCYOJQ52TPIN+WE7LwXE0O3vYLm8g9AChCXMhlT+oyQtSdaiURKiEoihtHvxzG0ejr44tSXfNuwl6AURClTMHXQFczOviYinyaES1AK8sGJT9jVsAeNQs2isY+QZ8zu83ZEWh8MSkE+Kf2crbU7ALguZyZzc2dF1QIEq6eDr6q/Zkfdd3iDPgAGm/KYnXMNw+IH9/pnuVAMPY4amsveQwr6iEm6jPhBotL+2YhESohKIobR7/sYdnodbKraytd1u/AF/ciQcUXaZVyXO5MEbXy4mxmRglKQd4o/Ym/TQXRKLb8a92ifl0aIpD7o9ntYVrycI63HUcgU3D1sAZPSJoS7Wd3W6XWwtXYH22t3nikwmx2byeycaxiVNLzXFlecL4ZeZyNNZe8gBdzo40eTmH2jSKLOIaSJVHV1Nc8//zyFhYU0NjZiMplYtGjRed8TqYlUcfFRXn55MX6/n4kTuza19Hq9eL1eiooO8eqry1AoFFRUlPHee2+TmZmFUqlEo9Fw++13AbBr1w6ee+5PLF68hLS09F7/XANJJF3Ehe6JMalYcfALvqr+GnfAA8D45NHMy7027JOCo0EgGODNY8s51HIEg1LP0+Mf79Mq7pHSB62eDpYcfouaznoMSj2PjLqPwfH9o66Ry+/i69pv2VLzDZ2+rgLP6YZUZmdPZ3zKmB4nVOeKoc/dSlPpMoJ+JzrjMJJyF5wpGi38VEgTqaKiIpqbm5k5cyYA119/PX/6058YOXLkOd8TqYkUwBtvLMXlcrFo0dMAeDwe9u3bw5VXTjmTqb/99hskJiYxb96N+P1+7rjjZlauXHvmGIsWPcrvfvesSKR6KFIu4sKlkySJbbU72Vi9Bbunqxp5YeJQbsibHVEFJ6OBP+jntSPvcrTtOLGqGJ4Z/3ifJaGR0Adr7PUsKXoLq6cDsy6RJ8c8SLLeHNY2hYI34GVn/R6+rN6O1dMBgFmXyLXZ0/lZ6vhur149Wwz9HitNpcsI+GxoY/Mw592BbICsju2ukNaRGj36h7VOgsHgmUre3dVcvhy3raxHx6j+0X9r4wpIzr/rko7h9/tZsuQlJky4jNtum8+LLy7F4XCwd+9uYmNj8Xq9GI0mOjvtvPHGUrKzc5g5czYAW7Zspr6+jqqqSv7f//srBoOY/yEMHJ+Vr2dz9TYA8ow53Jh/HQWm3PA2Kkop5UoeHnkPS4qWcaK9lMWHXuOZ8Y+TpEsMd9NC7khrMW8eW4434CXfmMujo+8jRmUId7NCQq1QMz1zClMyLmdPw/4z+/m9f2Il605tZmbW1UxO/1mPV7P6fXaay94l4LOhMWSSlHu7SKJ6qFd/e5s3b2bKlCnk559/hUl8vB6lUnHOf7fWKHH3ZsMAtVp53ozyewaDhj17dvHqq4uRJAmdTsXNN8/jk08+IiHBwOjRQ9m370oyMjK45ZZbAHj11Zf4t3/75x+ca+LEcUyevIj//u//5uTJImbPnt3Ln2hguJiYCZHl85Nfsbl6GwqZnF9e/iBXZI4X8y56we+SFvH7r1/ieEspLx1+jf87459I0oe+wGO4+uAXJVt4+8hKJEliavbPeHziPRG/Mq+33JQykxtGT+fbmv18WryBGlsDK0vXsLl6K3OHzuDagqvQqy7+gcX3MfR7HZzcuxy/tx19bAZDLnsExSUcRzi7XkukvvvuO3bv3s2///u/X/C17e3O8/67KfN2TD3ci/RsjzMv5hG1w+Fh1KhxPPror5AkiZqaalpa7Hi9fiwWBxqNHYfDg93uPnO8QCD4g2N7vX5iYhJpabGjVutpbGwL++PxaBQJwwrCpdnbeJB3ilcCcM/w27kya4KIYS96ePi9vOh5nUpbNf/15V95ZvwTGDVxITtfOPpgIBhgVdlattfuAmBu7iyuy5mJ1eKGXr/FjmxD9cP5zYShHGktZkPlFqrttSwvWs2nxRuZNuhKpmVOueATuu9jGAx4aC59B6+rCZXWTHzOnVisfkD0z4txvhuKXplZtm3bNnbs2MHvfvc7WlpaOHjwYG8cNuxkMhlZWRdeciyXy5EkiZKSEz94r9B9HkctndaqcDdDuATHLSW8e3wFADcXzI2Y/eL6E61Syy/GPERmTDotrjYWH3oNu7cz3M3qNW6/m6VH3mZ77S6UMgUPFN7J9VFW3qC3yWVyxphH8pvLfsmiMQ9TYMrF5XexvvIr/nPXH/ik9HM6PLbzHiMY9NFS/gFeVwNKdTzmgntQKPV99An6P8Wzzz77bE8OcPToUR577LGuiryffsrq1avJzMxk+PDh53xPX+wm3p0dr0+cKObzzz+jsbEBvd5Abm7XqpBdu3bw5Zcb8Xg8JCYm8tlnn9DU1Eh8fAJpaenU1dWyb98eSktLUCjkbPLKdv4AACAASURBVNq0nmAwSEpKKqtWraCpqZHx4yf2eO5YfydJEm57BZaqNXQ0bqOtbg8SEpqY7AF9IY0G1bZaXj78Br6gnxmZVzE371qg+zvPC+emUqgYax5FcdtJGhxNHLeUMD55DOoQDHv1Zfza3VZePPQa5R2VGFR6nhzzEKOSzv09MtDIZDLM+kSuSJvI0PgCbB47jc5mTtmq2F63iw6PjTRDyk+G/HQ6BdVH38XTWYlCFUvK4PtQqsO3iXK0Mhg05/w3UUdKCDtJknDZSrA1foPXWQ+ATK5BCnoBCZ1xCInZNyNXnPsPWQifZmcrf9n/Nzp9DiamjOO+woVnlmyLfhg6HR47zx98hWZnK9mxmfxy3CPolNpePUdfxa/aVsuSorfo8NpJ1ifxxOgHSdYnhfy80a7aVsvGqq79/KDr6dXElHHMzp5OiiEZSQpir/8Ma/MR5Eo9KYMfQKUVv9fuEAU5hYgkSUGc1uPYGr/B524GQK7UE5d8BTFJl6FVtlJ++H2kgBulJglz3kJU2v6/UimadHjs/HX/32h1WxieMITHRz/wg2Xaoh+GVrvbynMHltDmtpBvzOEXYx9G04t7FPZF/A63HGPZseV4gz4Gm/J4ZNR9GFRi2OlSNDia2Fi5lf3Nh87s5zfOPJJZWjl0liNTaEgpuA+1Pi3cTY1aIpESIookBXBYjmJr2oHf0waAQhVLbPKVxCSNRy7vGqIwm2Opr62iteIjfO4WZHINSTk3ozOGbxNX4e9cfjcvHFhCTWc9WbGDeGrcY2iVP3xqKPph6LW5LPz1wCtYPR0MiS/gidE/77VhvlDGT5IkttZ8wydl65CQmJQ6gbuG3drtekkCtLra2FS1jX0N+5irVzFYrcSPjLjsBSQliGHSnhCJlBARpKCfTsshbE27CHitACjUJuJSJhOTMOYntUz+cbVJW9VnuDq6JvMb06YTlzJFzJsKI1/QzyuH3+RkexlmXSL/NOEXZ90rT/TDvtHsbOG5A0uwee0UJg7l0VH3o+phQiJJEnExXmyd6l7va4FggI9L1/BN3bcA3JA3h9nZ00Wf7gXBgIeGsvcJOGtxByVWdLqwyjTcOfRmJqSMDXfzotb5EqkeTzbvjkidbC6ERjDgxd66l7bKVTjbj50eqkvElHEtiVnz0Bgyzro1wfcxlMmV6E2FyGRyPJ2VeDor8blb0MUNRiY/dz0yITS69oD7kCNtx4lVx/D0+MeJ15rO+lrRD/uGQWVgROIwDjQXUdfZQIOjibHmkd3aXqRr0Uc5rZUraazYiN/dhs44pNe2D3H53bx65B32Nx9GKVfyQOEdXDXoCpFE9YKA30lL+fv4nXUolDGY8u6gTnJT3VHHwZYjtLraGBpf0OMkeyASk82FsAgGPNhb9mJv+Y6gv6t2mEqbQlzqFPSm4Re8MJ8thq6OElorP0UKelBpzSTlLUSlCX1RQqGLJEmsKl3L1todaBUanh7/OJmxGed8veiHfavGXs8LB5fi8ruYkDyGB0bceUnJlMdZj7XuSzydlT/4uSYmG3Pu7ciVPVt5bHG388rht6h3NBKjMvDY6AfIM164xIxwYX6vjZby9/G5W1CoTSQX3INKk0BSUgyfHv6SVaVr8QV9JGrjub/wTvJNOeFuclQRT6SEPhXwu7A17aS18hPctlKkoA+1Pp34zOuJz7gWtS75ou4+zxZDlTYRvWkYbnsFfk8rDksRal2KSKb6yObqbWyo2oJSpuDx0T8n7wIXY9EP+5ZRE8uQ+HwONB2mprOOdreVUUnDL9jffB4L7TXrsNZtJOC1IldoMaZNI2f4XNqbj+NzN+OylaIzDkGu6N7KwCpbDS8cXEqb20KKPpmnxz9GRoyY/NwbfB4LzWXv4PdYUGnNJA++H5W66ymxwaAhSZHMOPMoTtmqaHQ2813DPgJSkAJjbo83RR4ozvdESiRSQq8J+DrpaPyatqpP8dgrQPKjickiIXMepvQZqLVJl/T4/lwxVCj1GBJG43O14HM34Ww/ikyuRG3IFMMDIfRdwz5WlHyGDBkPjLiTUebCC75H9MO+Z9IYyTflcqDpMFX2Wjp9DkYkDjtr3wj4OrHWf4mlak3XylmZgtjkKzDnLkAbl4cpMRlJnY/LXo7f3YrTWow2Ng+F6tL2Dj3UfIQlRctw+d0MiS/gl2MfDmlF9oHE62qmufQdgj4ban06yQX3ovyH+HzfB2PUBi5Pu4ygFKSio5IyawXFlhIGm/Iw9NP9C3uTSKSEkPJ7O7A2bMNStRqPowqkANrYfBKy52NKm4ZKk9CtBOd8MZTJlejjRwDg6azCbT+F392GNq5AzJsKgaOtx3mr+AMkJG4bfCNXpk+8qPeJfhgeCdp4cuKyONBcRKWtGnfAw/CEIWf6YTDgoaNpB22Vq/A6agEwJIzFnHc7hvhCZKdXzhoMGtweGYb4kXgctfjcLTgsR9EYMlBq4i/YDkmS+Krma5afWEVACnBl2kQeHHE3GmXvlWgYyDyOWlrK3iUYcKKJySE5/y4UPxp+/cc+KJfJGZYwmMGmfE62l9HobObbhn3Eqg1kxmSIG9HzEImUEBJ+Tzvt9V9hqV5z+mIcRGccSmL2TRhTJ6NUn30C8sW6UAxlMhna2BxUuhRctlJ8rsau4YfY/B7P5RD+7lRHNUuK3sIvBbg2ezpzcq656Pf2537oqanBXVGGKiU1Ir+AknSJZMakc7D5CBUdlQSlIENMuXS27qP11Me4bWUgBdEZh5CUexuxSeN/Mmz39wUfKgzxI/F72vC5GnG0H0WpjketSznn+QPBAB+WfMqmqq0A3Jh/HTflX49cLoaSeoPbXkFL+XKkoBedcSjmvIXIz1JD7Gx9MFEXz+Vpl9HusVJjr+NI63HqOhsYGj8YdS/WIetPxGRzoVf53C10NO7E2X4E6Prz0ZtGEJc65bwX1kt1KTH0uVpoOfURfo8FuUJHUu6taGPzeq0tA1WTo5m/HHgZh8/J5WmXcc+w2y4paeiv/dBx7Cj1L72A5POhzhhE0q23YRg1OiITqkMtR3nj6HsMVcqZE2dCHeza+FdtGIQpfSbamKxzvvfH8ZMkCWvdJuwtuwEwpc8gNvnKn3xul9/F60fe40R7KSq5kvsK72B88ugQfLqByWk9QWvlKpAC6ONHk5g9/5yLdy7UB/c0HuCjk6txB9zEqWO5d/jtFCYODVXTo5aoIyX0Cq+zkY6mb3BZj5/+iQxDwmjiUiaHZNuBS41h0O+mteqTrjttZJgyZhFrnhSRX27RwOrp4C/7X8bibmdk4jAeHXU/ikscNu2P/bCz6DANL7+I5Pcj1+kIulwA6IYOw7zgdrS5kZXAu20V1FWtReXvAMCr0JOeNQ+dcegF+8a54mdr/g5r3SYAYpImEj9o9pkv8jaXhZeL3qLR0USsKobHRj9ArvHcyZpwaTrbDmOpXgNIp3/3c84bx4vpg20uC28Xf0R5xykApg2azE3516MKwf6N0Uqs2hN6xOOoxVKzDmv9ZvzuVpApiEkaT1LOrcQkjg3ZLuKXGsMz86akIB5HNW57OX5Pe9e8KZmYN3UpnD4Xiw++SrOrldy4LJ4Y8/NuXVT7Wz/sPHiA+ldegkAA4/QZDPr1P6MwGHBXnsLX0EDHN9vx1NejycpGYQjvBF6vs4G2qs/oaNyOIughINewsdPBGrud+Nhsci4iuTlX/DSGQSi1Sbg6SvA6a/G5mtEZh1Bpq2PxwVexuNtJNaTw9LjHSI9JDcXHG5Dszbtpr10HQFzKVEwZMy+YDF9MH9SrdExKm4BKrqTUWsEpWzVFrcXkm3KIU587gRhIxBwp4ZJJkoSns4q26rV0NGzF77EgkymJNU8kKedWDAmjQj4PqTsx7Jo3lYtKaz49b6oBl60cXVxBt5dtDzS+gI9Xit6kyl5Lij759Ga43Yt1f+qH9v17aVj6CgQCmGZeS/KddyNXKNHlF2C8ehpI4KmqxFtbg3XbFgJ2G5rsXOSavt1s2+9px1K7nvbaDfi97cgUGoypV5OcdxsuRQxH205wrO0ECRrTeWuAwfnjp9YlozFk4ew4ic/VSFt7Ma9WbMXudzMsfjCLxj5EnFiZ1yskScLW+DXWhq8AMGXMwpg6tdtlZM5GJpNRYMplROJQSq0VXRPR6/eiUajJjhMrokUiJVy076saW6rXYGv6hoDXikyuJi75cpJyFqCPH45c0TdfDD2JoUpnRmccgstW3lVvqv0Ian06Sk3PJsD3d0EpyFvHllNsKcGojuPp8Y/1aJl6f+mH9j27aXhtCQSDxM+5HvNtC3/wxSJXqTEUjiDuyskEnS481VW4T1XQsX0rUjCINjsHmTK01aQDPgfWhi20VX+Gz9V0upTBJJJyb0MXl49MpiA7LhOtQsNxSwlHWo+TrEsi/Ty1nC4UP6XGhC62gHbLUVSBTvKUcuLjR3LvyHvEpOVe8v28NFvzTkBGQtYNxJovbtUsXHofNGmMXJE2EYfPQaW9huOWEk51VDE0oQCtcuDejIpESrggSZJwdZzEUrUae/O3BHw25AodcalTSMq55XQhvr69MPY0hgpVzOl6U4343M04LEeQK7Wo9ekD/u7qbCRJYkXJZ+xpPIBOqeVX4x4lRW/u0TH7Qz+0fbuLxjdeBUkiYe4NJN2y4Jx/Pwqdnphx44kZPwF/Wxve+jpcJ47TsXMHcq0WTWYmsl5etRYMeLE176S1chVeRzUgYUgYfbqUwYgzm4B/L8+YjUIm52R7GUWtxaQbUkg1nH2RyIXi5w/6WVG+kS9ay8lRKjArFQySedDH5aFQiSGhnpKkIJbqtXS27QeZ/PRowKVN2u9OH1TKFYxKKiQzJp2T7WXUOxrZ3bCfJF0iaef4W+nvRCIlnJMkBXG2H6Ot6hM6W/cS8HciVxowpl5NYs7NXXey8vBMOOyNGMrlKvTxI5GCPryOGty2MgJe2+k7dLEM+x9tqPyKL6u3o5QreXL0gxc1h+ZCor0fduz4hqZlb4AkkXjjzSTdePNFJeHKOCNxl1+BbshQPPX1+JoacRQdonPfXpTxCahSe14yQZICdLYeoPXUCty20q76bXEFp0sZXHbeoewCUx7BYIBSawWHW46RGZtB8lmS5vPFz+lzsuTI2xxqOYokVzGh4BZMkg+/uxlH+1HU+lSx40APSEE/rZWrcFqPIZOrMOctRG+69NV0PemDKYZkfpY6gQZHE/WORg40F2FxtzM0Ph/lANuvTyRSwk9IUgCHpYi2ylU42g4Q9DtRqOIwpU8nMfsmtLE5yMLcUXorhjKZDF1cPkpNIm5bKV5XPW57Odq4gj4bpox0O+t2s6rsc2TIeGjkPYzopeXP0dwPrdu30fzOWwAk3nwrifPmX/IxVElmjFOvRpOegae6Cl9zE/a9u3EeL0adlo4q4dITDUmScFmP03rqY5ztRWe2YErMvhlj6tSLrjo+JD4fd8BDRUclh1qOkhuXRZIu8QevOVf8Wl1tvHDwNartNcSpY/nl2IcZmji0q9aU14rP1YCz/SgKtRG1Xkw2v1TBgJfWUx/itpUhU2hIzr8bbWxut47V0z6oVWqYmDIOg9pAaXs51fZaDjQXkROXec7NyvsjkUgJZ0hBP52t+2k9tQpnexHBgAulOh5T+kwSs+ajicmMmBVuvR1DtS4ZXVzBme0uHO1HulYfqY29do5odLjlGG8XfwjAHUNvYVLq+F47drT2Q+uWL2l+/x0Akm5bSOJ1c7t9LJlMhiYjA9O06ShiY/FUVuJrbMC242s8NTVosrJQxFzcMJjbXklb5SrsLbu7+q4mkYSseZgyrkV1EZXGf9yu4QlDsPscVNqqOdR8hAJTHgnavx/nbPGr6Khk8cHXaPdYSTek8tT4x84M98hkcnTGYSAF8DiqcXWcBJkMjSFLDKdfpIDfRUv5+3gc1ciVBlIK7kVjOP+igPPpjT4ok8nIictidNIIKjoqaXI2813jfiQk8o05A2K/PpFICQQDXuyte2g9tQqXtRgp6EGpSSJ+0LUkZM1DY0iPuKGuUMRQoYrFkDAar7Mev7sFR3sRcqUBjT69V88TLcqtlSw9soyAFOT6nJnMzL66V48fjf2wffNGWj5cDoD5jrtIuHZOrxxXJpejy8vHePV0ZAo57spKvHW1WLdtxW+1os3JQa49+3Cc19lIW/UaOhq2EvDZkStjMGXMIjFr3kVvAn7WNslkFCYOpd1jpcpey6HmIwxNKMCk6bq5+HH89jUd4tUj7+AOeChMGMqTYx/6yfL4rpWzeciVety2MjydlQR8nejiCkQydQEBn53msnfxuRpRqIykDL4PtS65R8fszT4Yq47h8rSJ+II+KjoqKbVWcMJSxpD4fPSq0JTBiRQikRrAggE3tuZvaatchavjJFLQi0qXSsKgOcRnXodaH5nbW0DoYiiXqzAkjEIKePA6anHbSgn47GhjB9a8qfrORl489BqegJfJ6ZO4pWBer/8tRFs/tGz4gtaPPwIg+e57iZ8xq9fPIVep0A8rxDh5KkG3G091FZ7KU1i3b0Xy+9Hm5CBTds1L9HusWGo30F77RVcJErkaY+pVJOXcgjYms1f+XmUyGaOShtPsbKGms46DzUcYnjAUoyb2TPwkSWJj1RY+KllNUApyVcYV3Fe48Lwr8zSGjK7tmzpO4nXW4XU2dBUBFXthnpXf005z6Tv4PW0oNUmkDL7/kp8ynk1v90GFTM7whCEUGHNP79fXxLcNe4nTxDEoJi1iv096SmwRMwAF/E7szbuxt+5BCngAUOszMKZORRs3OCr+2Psihp1th7HUfA5SALVhEObc2wbEaqN2t5U/7/8bVk8HY5JG8PCoe0PyeD6a+mHburW0fboKZDKS770f01XT+uS8nvp6Wj/5GMehgwAoYuOIn38d5MvotOwHKQAyObFJE4lLmYJCFZpCn4FggDeOvc/hlqPEqAw8Ne4xxuQOpqGpneUnVrG7cT8yZNwyeB7TB0256GuIp7OGlooPCQZcqPXpmPPuDNlniFY+VwvN5e8R8NlR6dK6Nh/upd9RKPugw+fkg5OfcLC5CIBx5lHcOexWDP3w6ZTYImYACfg6sTV/S2frPqSgDwBNTA7G1CloYnKjIoH6Xl/F0OOsp7ViBQGfDYUqlqTc29AYBoX8vOHi8Dn56/6XaXQ2k2/MZdHYh1GHaCuIaOiHkiRhWfsZbWtWg0xGygMPYpw8tc/b4SotoeWTj/DFtaEcZ0Km6Ups9fEjMaVNR9kLTycuxBf08+qRtyluO0mcOpZ/veoJlu1bSam1ArVcxc9H3MVo84hLP667leby5QS8VpTqeMwFd4sVfad5HHW0lC8nGHChicnCnHdHrxYPDnUflCSJ3Y37WVGyGk/Ai0lj5N7htzMsYXDIzhkOIpEaAPzeDmxNu+hsO9B1Bwto4wowpkxBc55NSSNZX8Yw4Ouk9dRKPI5qkClIyLyemMRxfXLuvuQNeHnx0GtUdFSRZkjh1+OfCOnchkjvh5Ik0bb6Eyzr1oJMRupDjxB3+ZVhaEcQR9shrA3bCPo7AQhUOfF/Z0ETN4ikBQvRD+mbjWS9AR+vFL1FSXvZmZ8Z1XE8PuYBsmK7f4MR8HXSXP4BPlcDcqUec94d/fqG5WK47ZW0VHyIFPSijRtMUu6Cn9T96qm+6oOtrjaWHfuQU7YqAGZkXsUN+XNQ9ZMyCWKvvX7M57Fgrf8SS9UavM46QEJnHEZSzk3EpVwZ1SvS+jKGcoUaQ/woggE3Xmctro4SAn4n2ri8fjNvqmvo5j1OtpcRrzHx1LjHiNOEdhgzkvuhJEm0rlxB+/p1IJeT9sjjxE26os/b4Oo4SeupFTgsh5GCXtS6NBIyb0BlNeMuLsPX2Iht5w7clafQDMpCGRfabVcUcgXjkkdRZq2g3WMlIyaNp8Y9RqqhZ5Oeu/rYSLzOrgK5TssRVLrkkGx4Hg2cHSdpqfgIJD/6+JEk5d6KPARJR1/1Qb1Kz6TUCchlcso7KqnoqORIazH5xlxi1RdXkiOSiTlS/YwkSfjczdiaduFsPwpIgAx9/AjiUqb0eJVHpAhXDDvbDmKp+QKkAJqYLJJybov6OR2SJLH8xEp2NexFr9TxTxOePGc1694Uqf1QkiRaPlqO9cvNoFCQ9ujjxE64+G03eoO7swpr3Zenb4BAqY7HmH4NelPhmSH4oNtN++aNWDasR/K4QSYjbvJUEm+8GVV8aIf6vAEv9YFa0hSD0PTirgaSFMBSvQ6H5RAgIz7zemKTJvTa8aOBw1JEW9VngERM0gTiB10Xshu2cPTBUx1VLCv+kFZXGyq5kpvy53L1oCujamrJj4mhvSgWDPrwuVvwuZrwuprwuRrxupqRAu7Tr5BjSBhNXMpkVNrE8x4r2oQzhh5Hbde8KX8nClUc5rzbUUdxiYS1FRvZUPkVKrmKX417hDxjTp+cNxL7oRQM0vzBe3Rs3QIKBelPLCJmbN8N43pdzVjrv+qqRg6ndxK4ipjE8edc0ebv6KDt8zV0fL0NAgFkajXxM68lfs71KPTRNzQrSRIdjduxNX4NQFzKVIxp06L6i/Zi2Vv20l67HoC4lMkY064J6ecOVx90+92sLF3Ltw17AShMGMo9w2/HGOKn4KEiEqkoIEkSAX8nPmfj6YSpCa+7Cb+7ja4nTj8kV+rRmwpPD9/1z+qy4Y5hwGen5dTHeB21yGRKErLmXfI+V5Hg69pdfFSyGrlMzqOj7mNUUmGfnTvcMfwxKRik+b236fh6OzKlkrQnf0nM6DF9cm6/t4OOhu04LIcBCZlcRVzylcQmX37RFfa9TY20frKSzv37AJDHxJA49waM065Brur9BQOhjl9n6wEsNevo2h9wDAlZ8yKmIHBvkyQJW9MOOhq2AmBKn0FcyuSQnzfcffBQ8xGWn1iFw+8kRmXg7mELurVgIdxEIhVhpGAAn7vl7wmTqwmfu4mg33mWV8tQaZNQ6VJQaZNR61JQ6VNRKGP6/d1bJMRQCvqx1G7A0XYAgFjzJEwZs6Jm3tSB5iLePPo+EhJ3D1vAlek/69PzR0IMvycFgzQtexPbrh3IVCrSFz2FYcTIkJ834Hdha9qBvWXP6YUgcmKSJlzSdi4/5qoop3XlClwlJ4GurWgSb76F2ImTenVT5L6In6ujhNbKVUhBH9rYPJJyb+t3WzdJkoS1/kvszd8CkJA5l5g+Gs6MhD5o9XTwbvEKTrR3PYWdnD6JWwff0KtDxqE24BIp5/Fi3Ht3ETPretRp4R2OCfgceF2N/zA014TP3QoEf/JamULblSjpUlCf/p9Sa+71VRzRIhIuAN+zt+7vehwvBdHE5JCUuwCFMrJrpZS0l/O3Q6/jlwLckDebOTkz+rwNkRJDKRCg8a3XsX/3LTK1moxfPo1+eGifzAWDPjpb9tDRtPPMULzeNAJj+vReWfovSRKOw4do/eRjvPX1AGiysjHftrDXPluflSBx1NFS8QFBvxOVLpXk/Dv7TT03SQpiqVmHo+0gICcx52YM8X33RCZS+mBQCrKtZgefla/HLwVI1ifxQOGdZMdlhrtpF2XAJVItH31A++aNyDRaUh94kNiJob8Ll6QgPnfrDxImr6vpzFLmH1NqEs4kTF3/n4pCFdfvnzJdiki5AHzP3VlN66mPCfodKNRGzLkLI3ZD1lp7Pc8dWII74OaqjCu5fciNYfnbioQYSn4/jW++hn3PbmQaDRlP/TqkpQQkKYjDcpiOhm0EfF2fXROTgyljZki2IpICAWy7dtD62acErFYA9CNGYl5wO5rMnpU+6cv4+TwWWsqX4/dYUKiNJOffHfUr+qRggLaqT3Fai5HJlCTl3obO2Lf1lSKhD/6jus4Glh37gHpHI3KZnLm513Jt9rSI369vwCVSQbcb64r3aP16BwCmGbMw37YQmbJ3lpYG/K7Tk76b8LmaTw/NNZ+p3/SPZHI1Kl0yal3q3xMnbTLyKHqkGS6RdgEA8HtttJ5agddZ3zVvKns+hvjQDw9dijaXhT/v/xs2r51x5lE8OPLusF2kwh1Dye+n4bUldO7fh1yrJePpf0JXEJovMkmScNlK6Kjfgs/dAoBKl4opfQba2LyQJ7JBjwfrV5uxrF9H0OXqWuF3+ZUk3nQLqsTuLUTp6/gFfA5aKj7E66xDrtBhzlsYtXXwggEvrac+xm0vRybXYM6/A21Mdp+3I9x98Gx8AR+fla9na23Xd3S+MYf7C+8gURe5RVoHXCIFkJQUQ9mK1TR/9AEEAmjzC0h77ElUCRcfKEkK4vdYfjiXydVEwGc76+sVatMPnjCpdSko1CbxlKmbIvECAKfnTdWsOz1pGGKTr8SUfk1EzJuyezv564GXaXa2MtiUxy/GPIQqRFXLL0Y4Yxj0+WhY+jKOQweR63RkPPMv6PLyQnIuT2c11vqv8DhqgK5rgSltOvr4kX3e/wN2O23r1mLd+lXXCj+lEtOMmSRcfwMKw6WV8QhH/IJBH22nVuGylYBMQVLOLehNw/u0DT0V9LtpqfgAj6MGuVJPcv7dqPVpYWlLpF5HAY63lfDO8Y+wee1oFVoWDr2Jn6WOD3ezzmpAJlLf//G4KsppWPI3/BYLiphYUh957KwTTIMBz48SpkZ87pYz26z8I5lM2VVI7nSy1JU4JfdqWX8hsi8AkiTR2bqX9tqNgIQ2No/EnFtRKHVha5Mn4OWFg0upstWQEZPGM+MfRxfG9vD/2Tvv8LjOMm/f0zWjLs2oWcVqttwkFznujh3HCSmENBISEhJCCQnlA8KyC2QXlmXZhQ0LuwuBQEIapBECpJFmp7gX2ZZtWdXq0kgzI2lmNH3mnPP9MbLcZFuypspzX5cuSdPOO3p03vOb533e30P0Yij6fRgf/SXOI4eR65Ip/OY/kDR7dsiP4/eYsfZvxW0LFn3LlTrSc9eRol+GLMqOzj6ziaG/8WIvkAAAIABJREFUvMLo3t3Bsel0ZF17PRmbrkSumlxGPFrxkySRkZ6/4xiqAyCz8GOkGiK7UeJiCTq4P4ffPYBClUZOxV1RXaKM5XkUwOFz8lzTy9RbGgCozV3M7XNuQqeK7tx1JmEXUmazmV/84hc0NTXx5z//eRKPj+yuPWF0FOPjj+FqOAoyGZk3XYNu5UL8XtO4cBJ81glfR6FKO6OWKRelJismsg8znVifACDY4sHS+TJiwIVSnYm+7DbU2vAbXZ6JIAr85shTHBtqJjspk4eWfZl0TXgdsCdDVDIaPh/9v/pfXA1HkaekUPTQt9EUFSNJEkgikuhDFP1IZ3yJ0gS3TfQ40Y8k+pBEPz6XkRNWBqk5K0nLWR1zO848nZ2YX34Rd1MjAMqsLPQ33kLqylUX3OEXzXPwTLuA1JxVZBRcGdMZ/oDPhqntWQLeYZSabHIq7op6d4l4mEclSWKncS8vt7yKT/STqcngnvm3U5lZHu2hjRN2IfXWW2+hVqv55S9/ySuvvHLBx0dKSA0ODOH3BGuYfK4B3P2NCDIHMvUEk4dMcdJe4BThFM0Mw6WKzTtKw1ATqakaypMqwtoLLhQEfDbM7S/hdxuRyVVkF38CXWbkvJokSeLZxpfYM1BHiiqZby57kFydIWLHPx+TncRPihw/4phIkUQ/kuRHEqYgcgJePD3tiD43MrUSZXYmklwcv38iT7bpISNFv5T0vPUxvctMkiRcDUcwv/wnfL3B5Ud1YRGGWz+JbsGic4qTWLgIO4bqGe5+DRDRZS4ku/iGqGf7JsLvsWBq+wOC3z628/DTMdERIRZiOFlMLjNPNbxA12gPMmRsLtnAdaWbUcZAvCOytLdnzx5+8pOfTEpIBQICSmX4TNds5kZ6ml/D67Iw0cQpuQREsxe5W0H+umvIqlxCks5wTlfhBOHHOGpiX98h9vXW0zLUgTQWN5VcyWWFi9lYupqFuXNjdmeHKPjpOvYyw8ag31Re6RUUVFwdkczlH+r/wqtN76BRqPn+xm9QkT077MecCEkU8HlseN1DeN3D+NzDCH43ouhDFPyIgh9B8CEKwYyQKJy4Pfg70tmWIKFGJlMgV6iQK9TBL7nq9N8VKuRy9Sm3nfn76bdptJmoYiDzN1kkQcD84Ta6/vg8PosFgPTqRcy+5260ZWUMDjvpHXTQMzhKj2mUYZuH+WXZrF6UT3Fe9N6n3dLM8fpnEQUvqZnllC2+B2UMLf247L201j1OwO8kOWM2FUvui6nxxRMBUeDlhjf4S+NbSJJEaWYRX1t5H7PSYnOHNERJSIVbHY/0vceoaScgHzezPLUIXLR7MD72Kzzt7ciUSgy330n6ho0xnTKeaUiSRPdoL/XmBuotDQw4B8fvU8qVVGVWIlOKHB1sGRdVmZoMVubXsjK/Fn0M7u6QJIlR8x6sfe8CEklpFehLbkauDF/t3Naebfy59TXkMjlfqv4sC7LDt60fQAy4CfhGCHitY99HTvndyrQyPjI5MrkKuUyFTK5CJlcjkyvHfg6KlxM/y+TK036XAhLWt97G12tEoU3GcNtdqA15Y89TnXzeDHXNngr+gIBx0M7IlndR796Kwhf0uGpMLeWDrMXYzpFZy8/WUTs3h9qqHAoNyRGfL30uI6bjzyMGHKiScjCU34lSHX0R63F0YT7+ApLoJSm1HH3ZbTHl/RdPGalTabN28MyxFxjyjKCSq7il8nrWFqyM2nU65jJS4Q6qJImkpfixjyrOmQKWAgHMLz2PdesWAFJXrCL3M/ci18RWfcNMQhAFWq3t1JuPcthyDKvXNn6fVqllYfY8agwLmJc1hySlBoMhlabubvYM7Ge3cT9DnpHxx8/JrGBVfi2LDQtRx5iVhMfejqXzz4iCG6UmC0PZ7aiSQr/Utn/gIE8eex6Az8y7nRX503dKlkSBgN82JpCsZwilkVN6PE6MQpWGUpOBUp2JUp1BWkYmTpd4tqAZF0fTFzmCy0nfz3+Gp6MdZVYWhd/6J9Q5M6Nx93Rwefz0D7kwWpwYh1z0DzkxDjmxWD3jcjdJ8LJq5AjLbE0oJRFBJqersBr7sg0YZhkoyE1lx8E+DraacXoC46+dm6mltiqH2rk5FOdGrstCwGvFdPw5Al5LsAdm+Z1RbdLutrVi6fgTkhRAlzGf7JKbYm5lI16FFIA74OZPLa+yZyC46WBh9jzumvdJUtUX1xFgOlxyQgom/89j37ubwaefRPJ6URcUUPDAV6Luhj6T8AQ8HBtu4bC5gaNDjbgDJy/EGZp0qvULqDEsoDKjDMUZE9CpMRQlkdaRdnYZ93HIfAS/GJzUkxRJ1ObWsKpgOSWpRTGTVQx4R4J1U55BZHI12SU3ocsIXbaocbiFX9c/iSAJ3Fh+LZtLNkzqeZIkIQruUwTS6YJJ8Nk5X1ZJJlehVGedFEuaoGA68f3MDy7hnsQFh4Penz+Ct6sTpV5P0UP/iMoQG/VhkUCSJKwOH8ahU8TSmHCyOX0TPkcuk2HI1FKQrSM/O5n8bB35Si/q7W/j2rsbJAm5Vkvmx66l8o5bGLb7CAgiTd0j7G8yc6DFjMN9cjezPj1pXFSV5qeG/RwUAm4s7S/gdfYgU2gwlN5OUurssB5zIpwjDQx1/gUQSc5eQlbRdTG5CSmehdQJ6gbreb75FdwBN6mqFO6a90kW6iNriRF2IbV3717++te/sm3bNu644w7uu+8+kpLOvZwRS0IKwNvfj/HXv8Rn7I+oG/pMxe4b5YjlGIfNDTSNtBEQT36SzU/OpUa/gGrDAopTC8876Z4rhi6/mzpTPbuM++iy95z22qvyl3NZ3tKofGI5E1HwMdz9Gi5rcFtvWt560vMun/aFptveyy8O/gav4OOKonXcXHH9aa8piQECPtsES2/B3yVx4gvsCRSq9DOEUub473KlbkrjD+ckLoyO0vvfP8Xb04PKkEPht/7xoo0nYx1RlDBb3WNZpWCWqX/IxcCwE7f3bCNgALVSTl62joITYmnse26WDqVi4gu+t6cb88svBXc4A+qsLHLvfxBtecX4YwRRpKXHxv5mE3XNZuynCLasNA21c3NYNtdA+ax05GESVaLoZ6jzL7htTSBTkF3yiYga4zosdWPNlmN/N+FMEFIAIx4rTx97gVZrOwDrZ63iporrIrYicUn7SE0W0eNh8Jmnxj1XQu2GPtMxuSwctjRQb26gw9Y1XtckQ0Zpegk1hgVU6+eTM4XdZJOJYb9jgF3GfewdOIDD7wRALpOzKHseqwqWMz9r7lmZrkgiSRKjpp1Y+4NLyNr0OWSX3HTRW+TNriF+VvcrhICTlfq5XD2rFsFnPU0oncsw9gQyueaMTFLmactxoVyaCNckHrDb6f3ZT/H19aLKzQuKqMzMkB8n0vj8AgPDrqBYGgqKJeOQk8FhFwFh4qk6OUlJvj75lAxT8Oes9KSLFjKuxmOY//Qi3u4uFKmpFD/8fVTZZ3shiaJEW5+N/U0m6lrMjIx6x+/LSFGzbE4OtVUGKgszkMtDKzQkSWSk7x0c5r3B4xVsJjUn/DU09sEd4+dzev4VpOWuiVkRBTNHSEFwZWJL90e81v42giSQp8vh3gV3UJQ6K+zHTgipSSJJEtb3t2Cehhv6pYIkSfSM9lFvaeCwuYF+58D4fUqZgqqsSqoNC1ikn0+a+uK2hU8lhgExQMNQE7uM+2gYakYc2wGWpk7lsrylrMqvJS858v5OJ3Db27B0voIkeFBq9GN1U+fOnoiif0wgnVx6c3ssmGztpMhE1OeduGUo1OmnC6RThJNcoY3YxB+OSTxgtQZFlLEfdX4BhQ99G2VGRkiPEW6cHj9GS3ApbuAc9UtnkpWmGc8qnZplStWpwhJPSRAw//p/sR6qR1NURNE/PXzeGlJRkmjvtwdFVbOJIftJUZWmU7F0bg61cw3MLc5AcQH/qkmPUZIYNe3C2v8eAKmGFWTM2hyWJTZJkrAZt2If3AFAZuG1pBpqQ36cUDOThNQJekb7eKrheQZcJhQyBV+qvpf5Yd5okxBSU2SybuiXGieKxU9knk4vFk9iQXYVNYaFzM+aQ1IIdqpdbAxtXjt7Bw6wy7ifQZdp/PbStBJWFdSyNKcGbRh30p0Lv3cYS/uL+D1mZHIN2SU3oFAmn1HUHRROJ5rdnguZIgnVWTVKwd8V6rSY2Z0W6kncPzJC7yM/wT84gHpWYVBEpUV/59ZEnKhfOrVu6USWyX6e+qWcTG1QLOlPX5JLUkc+O56plXHgm9/GPzhIyrJa8u9/8IImnhB8750Do+xvMrG/2YTZerI2MkWrYukcPbVzc6gqyTznMuNUcA4fZaj7ryCJaDPmoS+5KaReU5IkMtL7dxyWOkBGdsmNJGctCtnrh5OZKKQAfIKPv7S9yba+XdxZdQurC8JbjpMQUhfBmW7o2TfcSNZ1H5/UJDKT8AS8NA63UD9eLO4evy9dnRZcshsrFg+1adp0YyhJEh32bnb176POdAivELx4qeUqluRUsyq/loqM8DeTPRVR8DLU9bdgbcd5kaNUpwczSOp09g210eowgSqNe2q+QLo2ei0npkIoJ3H/0FBQRJlNaIqKKfzmP6BIjb4JpiCKWKyeqdUvqeTkZyWTrx8TSlk68vXJ5GZqQyIsQoXBkErf4Wa6f/xviG43WR//BPpP3DSl15AkiR6Tg/3NJvY1mRkcdo3fl5ykZHGFnmVVOSyYnYVKefHv3TPagbnjJSTBiya5CH3Zp0JiqCxJAkOdf8VlbUAmU6IvvRVt+pxpv26kmKlC6gQ+wY86Av1EE0LqIpFEkeHXX2Xotb+BJKFbWE3+57+IIiX6hczhZNTn4IjlGPXmBppGWk8rFs8bKxavMSygKHVWWA0yQzkBeAUfh0xH2GXcN16sCKDXZrMyr5aV+cvITIrM8lCw9cUOnEMHkSu1EyzBncgqyRElkaePvcD+wUOkqlJ4aNmXMejip6A6VDH0W8z0PPITAhYLmpLZFH7jW1E9D/0Bgdd3dnGgxczgyLnrl1K0qvGsUkF2UCzlZ+vISrv4+qVIciJ+zqOH6fufn4Mkkf+lL5Nau/yiXk+SJPoszrHlPzN9Fuf4fVqNgpqKYKZqYWkWatXUs6o+9yDm488h+EdRJunJKb8Tpfriz2tR9GPp+BMeexsyuRpD2aeiskNwOsx0IRUpEkJqmjiPHsH4+GOIDgfKrGwKHvgySaXh6SIfLcyuobElu6O0n1UsXkz12E67SLYeCdcEYHJZ2GPcz+6BuvHlSRkyqrIqWZW/nGrDAlQx0JJAkiT+3PYa7/dsR6NQ8/WlX6I4tTDaw5oSoYihz2Si95H/JDA8TFJZGbO+/hAKXfRab3QY7Tz++jGMQyczK9lj9Uun7ZLTJ5Omiy2Ps6lyavxG3nkL80svIFOrKfqn75FUXDLt1++3OKlrNrG/2UyPyTF+u0aloKYim9q5OSwqy0ajnryoCvjsmI8/h99jQq5MIaf8TtS6qbtii4IH8/EX8Dq7kSu0GCo+jUYXf9Y4CSEVGhJCKgT4h4ZmlBu6JEn0OPo4bA7WO51ZLD4nq4Ia/QIW6ReQronO8km4JwBREmkabmWXcR+HzQ0EpOAyTLJSR23eYlblL4/IbpBz8W7XB/z1+JsoZAoerLmPqqzKqI3lYpluDH0DA/Q88p8IVitJ5RVBEaWNTusNf0DktZ0dvLmrG1GSyMvS8emr5lBekBaV+qVIcGr8JEli8MknsO/cjjIri+LvfR9leuga8g4Ou8YtFToHTv7PqJVyFpUHRVV1eTZazYX/1mLAg7njRbyOLmRyNfrST6JNm3wDXMHvxHT8OfxuIwpVKjnld6HSxqc/WUJIhYaEkAoR8e6GLogCbdaO8Z12I17r+H1JiiQW6quo1i9gfvbcqBRjn0kkJwCH38n+wUPs7t9Hj6N//PbClAJW5S+nNm8xKRFsQLrHWMczjS8C8NkFd1Kbuzhixw4l04mht7+f3p/9BMFmQztnLrO+9nXkSdERUV0DozzxxjF6zU5kwOblRdy8vuyilp/iiTPjJ/r99D7yEzzH20gqr6DwW/+IXBX6+hSz1U1ds5m6ZhPH+0/aeSgVchaWZlFbZWBxhR5d0rmPLYkBhrr+NubjJier+OOkZNdc8NgBnw1T2x8JeC0o1ZnkVNyNUhNfu0JPJSGkQkNCSIWYeHJD9wo+Goeaqbc0cNTSiOu0YvFUqg0LqdEvoDIz9MXi0yVaE0DPaB+7jPvZN3Bg/O+llClYZFjAqvzlzMuqDGttWMNQE785/BSiJHJr5Q1sLFobtmOFm4uNobevl95HfoIwOoq2ah6zvvr1qHxgCQgib+zq4vWdnQiiRE6Glvuum8ecovi9sE6FieIXsFnp/tEPCYwMk7Z2Hbn33BfWzPyw3UNds5n9zSbaem3j9hAKuYwFpVksm2tgSaWBFO3ZokqSJKz97zFq2gVAev5G0nLXnnO8fs8QprY/IPhtqJJyyKm4C4UqvmtiE0IqNCSEVBiIZTf0UZ+Do5ZG6i0NNA23jLdTAcjV5VBjCBaLF6cWhlUQTJdoTwB+wc9hyzF2G/fTOHyyeXKGJp2VectYkV9Lji60u+c6bN3878HH8Il+Nhdv4MaKa0P6+pHmYmLo6e6i97//C9HhQLdgIQUPfjUqIqrX5ODxN47RPRis3dm0rJBbLy+fUr1OvHOu+Hm6Oun5yY+RfD4Mt99B5uarIzKekVEvB1qCmarmHisnrl4KuYyqkkxq5xpYMsdwVm3aqGkPI31vA5CiX0Zm4TVneU35XAOYjv8RMeBErZuFofzOkOz6izbRnkdnCgkhFSaCbuhPMrp3DxBdN3SLeyhY72Rp4Li1c/yiD1CaVky1YQHV+gXkJcdPM9dYmgBGPFb2DNSxy7gfi3to/PaKjFJW5S9nSU41mmm2Khh0mvjZgUdx+l2syFvG3fNui9savBNMNYaezs6giHI5SV5UTf6DX0GuimzBtiCKvLWnm79u60AQJfTpSdx37TyqSuLfOX2qnC9+o/v2YnzsUZDJmPX1hyLutWd3+jjQaqauyURjlxVx7FImk0FVcVBULZ1jID0lKMJd1kYsna+AJAQ7DMy+Bbk8mMXyOroxtT+PJHhJSi1FX3o78hhrhn6xxNI8Gs8khFQYiZYbuiRJ9Dr6qTc3cNjSQJ/DOH6fQqZgbmbFmHiaT7omNg0LL0QsTgCSJNFm7WCXcR8HTYfxicHmrRqFmmU5webJpWklUxZAVq+Nn9U9yrBnhAXZVdy/6J6otrYJFVOJobv9OH0/fwTR7SZ58RLy738wLPU356Pf4uSJNxrpMAbrcjYsmcUnN5RPqsB5JnKh+Fn++meGX38NuU5H8Xf/BXXe1HfHhQKH28/BFjP7m80c6xxGEE/sOobKwnSWVeWwbI4BndyEpf0FRMEzlnW6A5+rH0v7S0hSAG16FfrZN4fUzDPaxOI8Go8khFQECKcbusPvZMBpYtBpYsAV/Op3DJzmLJ6k0Iw5iy9gfnZVTBSLT5dYnwDcAQ8HTPXsNu6n3dY1fnuuzjDePHkyItYdcPPzA7+hz2FkdloxX1vyxWlnt2KFycbQ3dZK3y9+hujxBB20v/CliGZ2RVHinX09vPJROwFBJCtNw2evmceC0ku7PdSF4ieJIsZf/wrHwTpUeXkUf/efo2pNAcH2O4daLdQ1mznaMXSax1f5rDRWz1VTod2KFLCjUKcHuwhIIslZNWQVfzws7WWiSazPo/FCQkhFiOm4oYuSyIjHxoDLxKBzkAGXOSieXKbxZrxnkq5OZZFhwVixeHlMeB+FkniaAAacJnYb97NnoA67LzhmuUzO/Ky5rCpYzsLsqtOK+f3DQzgP1yNLT+N5+w6OBHrJTc7hm0sfJEUd3QtRKJlMDF0tzfT9z8+RvB5Sl19G3ue+GFERNTjs4ok3GmnrC34wWVudz6euqESXNLPOp4thMvETPR66/+NH+Pp60S1cxKyvfSNmOkC4vQHq2yzsbzZzpH0IfyDYgzNF7eOzKxvJ1gbfW7BH31Vxv5Q+EfE0j8YyCSEVQSRRZOi1vzH8+qsTuqEHxAAml2VMMJnGvw+6zOPLRGeiUajJ1eWQq8shL3nsS2cgR2eI6WLx6RKPE4AgChwbbmaXcT9HLMfGmyenqJLHmicvJ621j4Enn0B0nTR09KrlJBeXklI8G01hMerCIjSzZsWNtca5uFAMXY3H6Pu/XyD5fKSuXEXeZz+PTBGZJU1Rktiyv5c/f3gcX0AkI0XNvddUUV0eH+13IsFkz0G/xUz3j36I4Bglc/PVGG6/IwKjmxoeX4Aj7cPsbzJRf9wCoo9NlV1YnDpcyvmsr5nFkkp9TLXoCQXxOI/GIgkhFQWG6+uwPPEEuFz40nTUX1NFW4oHi2d4/OJ6JqnqFPJ0OeQm55B3QjTpcsjQpM/IT0oXItoxnC6jPsdY8+R9GJ2DKASJtQcdLG4JWiqMFmZh9Y9isAokeSf4n5DJUOXkoiksRFNUjKawCE1hIcpsfdz8P5wvhs6Go/T/8n+Q/H7SVq8l9977IpbJMFnd/P6NRlp6gl5qqxbkcefmSpLP40t0KTKVc9DV0kzvz34KgkDuZz9H+pp1YR7dxeP1CxxtH2Zf0yAHWiwEhLEPPFoVaxblsa66gAL9zMgMx/s8GiskhFSYkCQJm88+tgQXXIo7sTRn842S6hS4ZruN/KEAATl8tCyFoxU6snXZ5OkMY4Ipl7xkA3m6HHQqXVjHG2/MlAlAkiQ62+uxPfEkOpMNQQ7bF6dwaK4WpULFl6vvo0yejbe3B29PL97ebry9vfgGjCCc3fRWrtWiKSxCXViIprA4KLQKi2Iye3WuGDoO12N89P+QAgHS119Ozl33REREiZLEhwf7eOn943j9Amk6Ffd8rIolc+LTtTrcTPUctH74AaZnn0KmVFL4rX9EWxH7bvwOt5/dDQN8VN9Pr/lkGUVFYTrrqwtYXpUT15YXM2UejTYJITVNBFHA4hker1k6KZjMeATPhM9RyZXk6Azka/Qs2NVDxv4WAJIvW0H+PffF5EUv1pgpE4B9zy4Gn3kayetBqTdg/eQmtsu76R7t466qW1mcs2jC54l+Pz5jP77eXrw9QXHl7e1GGJ3gbyKToTLknJK9CoosZXZ2VOtVJoqh49BB+n/9SxAE0jdeQc4dd0VkjBabmyffbKKxawSAy+bl8OnNc0iN83544eRizkHTc89i3boFRVoaxQ9/H1VWfDTZliSJDuMoH9X3s6dxEK8v+CFGq1GwYn4e62vyKclNjZts8AlmyjwabRJCapJ4BR+DYwJpYEwwDbpMmF2W8T5sZ6JTaseX4E5dkstKyjytfime3NBjhXifAESvF9Pzf8C+fRsAKbWXkfuZe1Hoppd5DNisY6KqZ1xg+Yz9E2evkpJQzzpVXAWXByPVauXMGI7W7cP429+AIJBx5WYMt98Z9guTJElsO2zkhS2teHwCKVoVd189l+VV8eOpFi0u5hyUBIG+X/wMV+MxNMUlFP3jd+Pug6PHF2Bfo4mPDvdzvO9ki5rinBTW1RSwakHuedvTxBLxPo/GCgkhdQajPsfJ7NK4YDIz7Bk55+tlajLOEEwG8pJzSVElT/pC4O3vw/jrX8WkG3qs4fX4SUvV4vUHLvzgGMTb14fxsV/h6+9HplJh+NSnSV9/edhEgxQI4DMag+Kqt3tcaAk224SPVxkMwYL2E19Fxaj0+pBnhk49D0f37sH4+GMgimRefQ36W8NvODps9/DUW00cbR8GYNkcA3dfPZe05EQWajJc7EVYcDjo/vcf4jebSKm9jPz7H4i7TM4Jes0OttUb2XnUiNMTnI9USjm1c3NYX5PPnKKMmH5vCSEVGi5JIZWtT6a5p+fkUtwpwsnpd034HLlMTo5Wf1aGKUdnIEkZmk9UseSGHosEAgKH9vRwcFc3gYBItiGZ2XP0lM3Rk52TEtMTFgSzH/ZtH2F64Y9IPh/qvHzyv/QgmsKiqIwnYLfj7e3B19uDt6cn+LOxHylwtkCVaTRoZhWiKTopsNSFRSi0F5+9OjGJ23ftZOD3vwNJIuva68m+6ZawxlKSJHYeHeC591pxewMkJyn59FVzWDEvN+b/h2KJ6TWd7qPnx/+G6PGQfePNZF9/Q4hHF1n8AZGDrWY+qu/nWOfJD925mVrW1xSwelE+6TEo0BNCKjRcckJqj7GOF1v+glfwTXh/kkIzbiWQqzOMCye9NjsibtLRckOPZSRJorPVwo4txxm1BevOVGoFft/J5arU9CRKK/WUztGTV5iOXB5bF0TB7cb07FPjIjltzTpy7rwr5pY1pEAA3+DA2NJgz1gWqwfBap3w8Uq9/mTmqrAITVERKkPOpLJXBkMqbX99k8Gnfg+SFPRW+/gnwipmbA4vT7/VzKE2CwA15dncc00VGSmxFYd4YLoXYcfhQ/T/3/+AJJH/4FdJXboshKOLHiarm+2H+9l+2IjVEbzOKOQyair0rK8pYGFpVszMTwkhFRouOSH1VudWXmt/izR16njN0qkeTOnqtJj4VBpON/R4YsTiZMeWNno6gp/ysgzJrL2ygoWLZ1Ff10NHi4XO1iFczpPCOEmrYnZlNqVz9BTOzkSpjO6uGk9nJ8bHHsVvNiHTaMi96x7SVq2O6pimijA6Oi6qxrNX/X0TZ6/U6vHs1cklwsKzXK2Fg7s5/uhjQREV5qyEJEnsaRzkj++04PQE0GqU3HllJasX5sXE+R6PhOIiPPz3N7H8+SVkGg3F//QwmqLoZGfDgSCKHGkf5qND/Rw+PjTe7y8zVcO66nzWVuejT49u4+OEkAoNl5yQAsjM0jIy7A77cabLdNzQ4x2vJ0Ddjk6O1PUhihJqjZLL1s9mwZIC5HL5aROAJEkM9tnpaLXQ0WLBNnIytkqVnOKyoKgqKc9GE0FHakmSsG55D/OfXgCNOlhbAAAgAElEQVRBQFNURP79X45az7FQIwnCePbq1N2DgZHhCR+vzMoeXxpEkhh+83UA9LfeRtbHrg3bOO1OH8++00xdsxmAhaVZ3HtNFVlp8d8qKZqE4iIsSRIDT/yW0d27UGZnU/zw91Gmxmf/z/MxMupl51EjH9X3Y7YGs+oyYH5pFpfXFLA4SmafCSEVGi5JIRVP/zxnu6EvIv/z94+7oc80JEmi+cgAuz9sx+0MurnPX5zPZetL0Z6yFf1cMZQkiWGLk84WC+0tFiyDjvH75HIZs0oyKJ2jZ3alnuQwLucIDgcDTz2B89BBANI3XoHhtk8hV8VenUSoERyOsexV73gWy9fXi+Q/253fcPsdZG6+Omxj2d9k4pm3m3G4/SSpFXxqUyXrqvMTWagQEKp5VPT76P3pf+LpaEdbOYfCh749Y+tCRUmiudvKtvp+9jebo272GU/XwlgmIaTiBOfRIxgffwzR4UCZlU3BA18mqbQs2sMKKSajnW3vtmLqD8Ymb1YaazdXYsg7+590sjEctXnGM1XGHiun/kfnFqRROidYV5WRFTrDU3dbK8bf/prA8DByrZbce+8jddnykL1+PCKJIn7T4CnLgv3krVuJvDo8fxeH288f3mlmb6MJgHklmXz22qqoL6XMJEI5jwasVrp+9AMEqzVownr3vTNe7DrcfnaNmX32nWH2eXlNAbVzw2/2GY/XwlgkIaTiCP/QEMbHfoWnvR2ZUonh9jtJ37Ax7iccl9PHng/baTo8AIAuRc2qDWVULjj3LqqLiaHb5aOrbYiOFgs9nSMIgZOtVzL1uqCoqtRjyLs4Yz1JFBl5600sf30FRJGksjLyv/AAKkPCGXsiwnUeHmw18/RbzdidPtQqObdtrGDDklnI4/w8iTVCHT9PRzs9P/0PJL8fw513kXnFlSF77VhmMmafs/PCs9wZr9fCWCMhpOIMKRDA/NLzWLduASB1xSpyP3NvzO3+mgyCIHL0QB/7t3fi8wrI5TJqLitk6aoS1Jrzp/anG0O/T6CnYzhYrN42hM97smg6OVUzvgOwoDgd+SRq0gI2GwO//12wng2CXkg33TJjlyhCQajPQ6fHz3PvtrKrISjI5xRlcN9188jJSGShwkE45lH7nl0M/O4xkMsp/Ma30M2bH9LXj3U8vgB7G01sq+/neP8pZp+5KayvKWDl/NCafcbztTCWSAipOMW+ZzeDz8SvG3pv5zDb321jZCjo21VclsWaKysmvcQW0jY/goixx0p7i4XOFgtOx8kdgJokJbMrxnYAlmahUp2danc1HsP4+GMINltwh+XnvkDyouqQjG0mE8oYHj4+xFN/b8Tq8KFWyrnl8nI21RYmslBhJFzzqOWVlxl+83XkumSKv/fPqHNnxuaMqRIJs8+ZcC2MBRJCKo6JRzd0u9XNzq3H6WgJ+vikZ2pZs6mCkoqp9dwKVwwlScJkHKWjxUJHqwXr0EmDVqVSTlFpVnAHYEU2GrU8uBHgjddAktDOmUveF76EKjMz5OOaiYQihi5PgBe3trLtsBGA8llpfO66+eSFsOYtwcSE7RwURfp/9b846w+hzi+g6DsPT7t1UjzjDwgcaLHwUX3/eC9IgNwsHetr8lm98OLNPmfKtTDaJIRUnBMvbuh+v8DB3d0c2tODEBBRquQsW11CzfIiFMqpb/uNVAxHhpxBUdViwWQ8eTyZDLIkK9nmJgzOHgquuZLs629ApojfTvCRZroxbOgc5sk3Gxm2e1Eq5Ny8voyrlhfFjNnhTCec56DocdP94x/h6+8jeVE1BV/9+iVh+3IhzmX2ubhCz7qLMPucSdfCaJIQUjOAs9zQy8rJu+/zqPPyoz00JEmivdnMzq3Hcdi9AFTOz2HlxnJSUi++risaMXTYPXS2DdFa18GgxYd0SuNpQ14qpWPtajKydXG/ASASXGwMPb4AL71/nA8O9gFQmp/KfdfNZ1YEt40nCP856DOb6P7RvyI6nWR+7FoMt94WtmPFG4IocuT4MB/Vn272mZWmYe2iyZt9zrRrYbRICKkZhPt4G8bHHiUwHDRE1C1YSMbGTSRX10Tl09yQ2cGO99ro6wq2F9HnpLB2cwX5RRnTfu1oxFAKBLC88jIj77yFX65mdM5KRoqX0ttjJ+A/uQMwPUtL2ZhXVW5BbDjlxyIXE8OmrhF+/2YjFpsHhVzGJ9aWcs3KYhSJbEXEicQ56GpqpPfnj4AgkPe5L5C2ak1YjxePnMvsc0FpFusvYPY5U6+FkSbsQmrnzp288847ZGdnI5PJ+MpXvnLexyeE1PQQRkcxv/InRnfvGjdAVOr1ZFx+Benr1kfEyNPr8bNvWydHD/QhScGC7RWXlzKvpiBkyy6RjqHfbMb421/j6WgHuRz9TbeSefXHkMnlBPwCPZ0jY+1qLHg9p+wATFEze3wHYAaKKLgXxypTiaHXJ/Dyh8fZUtcLBHcxff66+RTmzExj2nggUueg9f2tmP74DDKlksJvfwdtWXnYjxmPiJJEc9cIHx02UtdsIiAEL9+pOhVrFuazriaf/OzTs7Yz+VoYScIqpNxuNzfccANvvPEGarWar371q9x5552sWrXqnM9JCKnQIDgc2HZsw/bBVvzmYGsMmVJJ6mUrybhiE0mzS0N+TFGUaDpiZM8HHXjcfmQyWLCkgOXrSknShm7LLkQ2hqP79zH49O8R3W6UWdnk3/8A2vKKCR8riiLGHtt4sfqJ5UwAtUZBSUU2pZV6isuyUKljq44t0kw2hq29Vp54oxHTiBuFXMb1q2dz3aqSqLTUSHCSSJ6Dg394BtsHW1Gkp1P88A8SGzouwLnMPisL01lfU0BtVQ4aleKSuBZGgrAKqV27dvGb3/yGp59+GoAnn3ySgYEBvvOd75zzOQkhFVokUcR59AjWrVtwNRzhhLV3UmkZGVdsIqV2eUjalgz02dj+bivmgWBLlvyidNZeWYk+NzwZg0jEUPT7ML/4ArYPtgKQvGQpefd+DkXy5GpxJEnCMugYF1XDp0xoCoWMwtIsSiv1zK7MPq39zaXChWLo8wv8ZVs77+ztQQIKDcl87rr5lEzgdJ8g8kRyHpUCAXp//gju5iY0s0sp+vZ3kKsvvXNmqkiSRLvRzrb6fvYcM+H1nzT7XDk/j5uuqCRFlfhAMl3CKqRef/113nzzTR599FEA/vSnP7Fnzx4eeeSRcz4nEBBQKhM7n8KB2zjAwFtvM/juFgRn8KKuTEsj76oryfvYVWguwoF71O5hy+uNHB5bcklLT2Lzx+czf3FBXNcGuXp7af6v/8bV2YVMqWT2Z+8h/7prpvWehswOmo8O0HRkgN7uERg7u2QyKCrNompRPlUL80LariZeae4a5hcvHKTX5EAul3HrFZV8avMcVIm54ZLFb7dT/61/xDtoQr9uDXMe+kZczzGRxuXxs72+n3d2d9HcHbRRkMvge/et4LL5l6ZXVyRIZKRmKKLXy+je3Vi3bsHb0x28USYjefESMjZuQjdv/gUnKEEQOby/l7odXfh9AnKFjMUrili6sgRVmPtDQXhjaN+5g8E/PoPk9aLKySX//gdIKpkd0mM4HV46W4foaLXQ1zmCKJ481fQ5KZTN1bNw2Sw0IXQxjjUmiqE/IPK37R38fU8XkgT52To+f/18SvPD0yIjwcUTjXnU29dL949/hOT1oL/5VrKuvT6ix58p9JocvL23mx1HB9BqFDz8mdqz6qcSTJ5EjdQljCRJeI63Yd26hdG6fSAE076qvDwyNm4ibdWaCY3wutuH2P5eG7ZhNwCzK7NZfUUF6ZmRa8URjhiKHg+mPz6LfdcOAFJXrCT37nuQJ4X3fXk9Abrbgz0Au9uH8Y/12krSqVi1oYy5i/Jm5CfvM2PYOWDnidcb6bM4kQFXryjmpnWliSxUjBKtedRx6CD9v/pfAAq+/DVSFi+J+BhmApIk8cTfm9h52Eh+to6HP1OL9gKtuRJMTNh37e3YsYO3336bzMxMVCpVYtdejBKwWbFt+wjbh+8TGAmmfWUaDWkrV5NxxSY0swqxjbjYseU4XW1DQHCb/9orKygum5oreSgIdQy9PT30P/Yr/AMDyNRqcu68i7Q16yIuYAIBgb5OKwf3dGPssQGQV5jG+qvmkD3DdqidiGFAEHl9Zyev7+xClCRyM7V87rr5VBSmR3uICc5DNOfR4Tdfx/LKy8g0SRR/92E0swqjMo54JyVNyzd+/gF9ZieLK/R85ZZFibZKF0HCRyrBaUiBAI76g1i3bsHd3ARAQKakr3wD7bJCRAlUagW1a0pYVFsYte38oYqhJEnYPnwf8wvPIQUCqAtmkX//g2hmzQrBKKc3rpaGQXZtPY7bFdwBuWhZIcvXzb5gQ+d4wWBIpe5oP0+80UiPyYEMuLK2iJsvL0MzQU/DBLFFNOdRSZIY+N1jjO7djUpvoPh7/4IiNbEJYaoYDKk0tAzyw6f24/IGuGHNbG5cVxbtYcUd5xNSih/84Ac/iNxQgrhcvgs/aJokJ2sicpx4RCaXoymYRfqatSQvraXHpaNOVY1Zno0E5Hu6WT8Xyi6bg1IbuaW8MwlFDAWXi4Hf/46Rt/4OokjauvUUPPjVmNhaLZPJ0OekMK8mH79PxDwwymC/neajAySnqMnSJ8f1cl9AEHljVxePvnIEq8OHISOJr9y8iA1LZiVsDeKEaM6jMpmM5EXVOBuO4uvvw9PZQdqKlYk2MlMkOVmDTJQoyk1hT8MgzT1WinNSEvVSUyQ5+dxdOhJC6hLGMuhg69YemgcVCHIVmTqJxbY9zOrbh7+1kZEt7+Iz9qNMy0CZlRXxi/p0Y+jpaKfvv/8LT1trsOHzfZ8n+7qPx1yPQqVSQUl5NiUV2VhMDqxDbtqbLRh7beTkp8albYLd5eORFw7y0aF+JAk2Lp3Fl29aRF5WYvKOJ6I9j8oUCpIX1TC6dze+vj4Eh4OU6pqojSceORHD3EwdKqWcY50j1B8fYmmlgdQ4nFuiRUJIJTgNj9vPzq3H+fCtZkbtXpJ0KtZeWcmGGxaSt3EtujlzET0efMZ+fH292Hdsw3noAMjlqPPyIyZELjaGkiRhffdtjL/7DaLTgaa4hMKHvo1ublUYRhk6klM0zKvOJzlNw2CfjRGLi2OHjAT8ArkF6XHjmO4PCPzipcO099sxZGp58MaFXLmsKJGFikNiYR5VaLVoK+cwumsnnvbjKFLTSCoNvdnwTOXUGFbMSsc45KJ70EFDxzCrF+YlNnpMkvMJqUSN1CWEKEocO9TP3o868HoCyGSwcNkslq+dPeEWfP/QELYP38e27UOE0eDfUq7TkbZmHRkbrkCdmxvW8V5MDIXRUQaefBzn4XoAMjZtRn/rbchV8WUx4HH72f1BO431RgBS0jSs2VRB6Rx9TC/3iZLEb19tYG+jicxUDT//xuWIvsCFn5ggJomledS+awcDT/wO5HIKv/kP6KrmRXtIccGZMfT6BP792f30mp1Ul2fztVurE8Xnk+CSKzbvbLPQcKAftUZBWoZ27CuJ9EwtyamamL4QhYv+bivb32tlyBQ06ZxVksHaKyvJMlx4qUX0+3Hs34f1/ffwtLeP365buIiMKzaRvLA6LHULU53EXS3NDPzuNwRGRpDrksn77H2kLFkW8nFFksF+Ox+93YJlMOgmX1yWxdrNFaRnxqah5ysfHef1nV1o1Aq+e9cyli7Ij5kLcYKpE0tCCsD8pxcZefvvyJOTKX74+6gNOdEeUswzUQxNVjf/9tQ+nJ4A16+ezc3rE8XnF+KSE1K7PzjOwd09E96nUMhIzdCSnpEUFFiZYyIrQ0tqRtKMc1x32D3s+qCdtmMmIJjZWH1FBWVzLy6z4ensxPr+Fkb37EIKBDMNKr2B9A0bSV8b2obJk53EJVFk+M3XGfrbX0CSSCqvIP+LD6DKjrxlQzgQRYljB/vZ81E7Pq+AQiFj8cpilq4sRhlDO9+2He7nyTebkMtk/L9PVrOoLDvmLsQJpkasxU8SRfp/+T84D9ejLphF0XceRhHFDTHxwLli2NAxzH+/dAhJgi/ftJBlcxOi9HxcckJKkiS8rgBdHUPYR9zYrR5sVjf2ETdul/+8z01O1QRFVubpmay0DG3Im/KGk0BAoH5vLwd2dRHwiyiUcpasKGLxymJUIbj4Cg4Htu0fYf1gKwGLBQCZShVsmLxxE0mzZ0/7GJOZxAM2KwOP/xZX4zEAMq+5Dv0nboq5gvJQ4HL62PX+cVqODgKQlpHE2isrKamIvmBs7Bzmv1+qRxAl7r5qDhuXBj1/Yu1CnGBqxGL8BLebnh//Gz5jP8k1iyn48tcSO/nOw/li+Naebl56vw2NSsH3PrOMQsPM8rELJZeckIJz//P4vAFGbR5sI27sVjc2q2dMbLkZtXk4319DrVGSnnl2JistQ0tKWmwsGUqSRFfbEDu2tGG3egAom6tn1cZy0jJC/8lNEkWcRw5j3foeroaj47cnlZWTsfFEw+SLE6AXmsSdDUcZePy3CKN2FKmp5H3uiyQvXHRRx4on+nusbHundbxB8uzKbNZeWUlqelJ0xmNx8u/P1uH2Brj6siJuv6Jy/L5YvBAnmDyxGj/f4CDd//5DRJeTrGuvR3/zrdEeUsxyvhhKksRvXzvGnmOD5GRo+ed7a0mewS2rpkNCSE0SQRBx2L3YrWMia8QT/HnEjc3qJuAXz/lcuUJGWnowk5V+Sl1WWqaWtPSkiCzBjAy52LGljZ72YQAy9TrWXllB4eyssB8bwDc4gPWD97Fv/wjRHWwto0hNJX3d5aRv2Igqa2qZk3PFUBIEhv72F4b//gZIEtqqeeR//n6UGRkheR/xgCCIHK3rY9/2Tvw+AaVSzrI1JdRcVhTR3X02p49/f2Y/FpuHpXMMPHjTwtMKV2P1QpxgcsRy/FyNx+j9+SMgiuR94X7SVpy7LdmlzIVi6PUL/MezdXSbHCwsy+Lrt9Ygl0c/KRBrJIRUCJAkCbfLP569OjWTZbO6cTsvtGSoJi1jTGSNZbPSMrSkZ2rRJCmnlc3yeQPU7ezi8L5eRFFCrVGwfG0pC5YWRGXLvOj1Yt+zC9v7W/D2jNWqyWSkLF5KxhWb0FbNm9T7nbDh7dAQxt/+Gs/xNpDJyL7hRrKu+/glm9p3jHrZtbWNtkYzABlZWtZdVRkR8ezzC/z0+YO099spzU/l23cuPcutPJYvxAkuTKzHb2Tre5if+wMylYqib3+HpNJE0fSZTCaGFqubHz69H4fbz3WrSrjl8vIIjS5+SAipCOD3BYK1WGM1WSezWm4cdi+ieO4/84ndhemn1GWd+D05VXPOTwcnWozsfr8dlzPoE1JVnceKy8vQJUffaE2SJDxtrcHi9Lr94w2T1fkFpG+8Itgw+TyFomfG0HHoIAO/fxzR5USRkUH+Fx9AN2du2N9HPNDbOcy2d1qxjjWZLq8ysHpTBSmp5/Y+mQ6iJPGbvzWwv8lEdpqGhz9TS3rK2ceK9QtxgnMjSRJqpRJfIBATZQsTIUkSpmefwvbRhygyMih5+PsoM6LftSCWmOw52Ng5zM9erEeUJB64cSHLqxLF56eSEFJRRhSDS4Yn6rJOCq7gz36fcM7nyhUyUtOTzlouVCrl7NveyWCfHYCcglTWba4kJz8tUm9rSgSsVmzbPsT6wfsINisAMk0SaatXk7FxE5qCs/venYih6Pdj+fNLWN97F4Dk6hryPvv5RN+tMxACIvX7eqjb0UUgIKJSK1i+djYLl80KeWby5Q+O8+buLrQaBd+569xFqrF0HiaYPCajne3vtjHYb6eqOo/LPzY3Zpd7pECA3p/9FHdrC0mlZRT+wz8hV0f/g2SsMJVz8J19PbywpRW1Ss737q6lKA6aqEuiGJEViYSQimHGlwzHa7HGlgxtbuwjnvFM07nQJqtYuaGcuQtzY/ZT46lIgQCOQweCDZNbmsdv11bNI2PjFaQsXopMEVweMhhS6Ws4jvGxR/F2dYJCgf7mW8ncfPUlu5Q3GUZtHna810ZHa3A3ZZYhmXVXVVJQFJoaso/q+3nq70Gbg2/cVsOC0nMvI8bLeZggiMvpY8+H7TQdHjjt9soFOVxxXRXyGD3vAqN2un/0rwSGhkhduYq8z30xLubDSDCVc1CSJB5//Ri7GgbRpyfxL/cuJyXGdqsLTifuliZcjY24mhrxGfvJvfdzpK9ZG9bjJoRUHOP3CWcXv1vdOB0+ikqzWLa6BE1SfG719/b2YH1/K/bdO5G8XgCUmZmkX76R9HWXo+zvpO1Xv0b0eFDq9eR/8QG0ZYm1+8nS1TbE9vdax3dvzlmYy6qN5dNa9m3oGObnLwXT//d8bC6XLz47k3gqM+U8nOkIgsjRA33s396Jzysgl8uoXl5I1cJ8Xn5mPwG/SHmVgU0fnxezrYq8PT10/+ePkLxe9LfcRtY110Z7SDHBVM9Bn1/gP/5wgK7BURbMzuTrt9WgiKKAFj1u3K2tuJqO4WpsxNvTzanb62UaDQVf+jLJi6rDOo6EkEoQ0wguF/adO7C+vwX/4NgnYYVivKYqZVktufd8FoUu0fB2qgT8Agd3d3NwdzeCENyIsGJ9GfOXFEx5qabP7ODHf6jD7RW4ZmUxn9xQccHnJM7D2Ke3c4Tt77UyYnEBUFSayZorK8nM1mEwpHLkYC+vv3QYv0+gdI6ezZ+YH7NiavRAHcZH/w9kMgq+8v9IqVkc7SFFnYs5B4dsHn749D5GXX4+tqKY2zZe+FwPFaLPh+d4G66mYMbJ09kxfi0AQKFAW16Brmoe2qp5JJWWRaQFWEJIJYgLJFHE1XgM6/tbcNYfQqZUYrjtDtI3bEyk6aeJbcTF9nfb6B6zxtDnprD+6jnkFkyups7m8PKjZ+oYsnuonWvgSzcunFR/rsR5GLvYrW52bj1OR0twCTgtI4k1myooqcgeP99OxG+w387rLx7G5w1QUp7NVTfNj9kuEEOv/Y2hv/0FeVISRd/95wnrLy8lLvYcbOoa4ZEXDiFKEvffsIAV88PTW1UKBPB0dOBqHhNOba3jXTMAkMlIKi1FVzUfbdU8tOUVyDXh2URzPhJCKkHc4R8ZITsrGbuUKBoNFZIk0dFiYceWNhz24FLqvJp8Vm4oO69rv9cv8NPnDtBhHKWsII1v37EE9SR90RLnYezh9wsc2t3NwT09CAERpUrOstUlVC8vPEscnRo/88Aor71Qj9cToKg0k4/dvDCmWhSdQJIkjI89imP/PlSGHIq/9y8hbV0Vb0znHHxvfw/PvdeKWinnu3cvozh3+ht8JFHE290dXKprasTd2jJe2nECTVHxeMZJWzkHhS76vUUTQipBXJKIYXjw+wTqdnZSvzfoO5akVbJiQxnzqvPPyvyJksSjfznKgRYz+vQkHv5MLWlTqLFKxDB2kCSJ9mYLO7eeFNIV83NYtaGMlLSJXfHPjN+QycGrL9TjcfmZVZLBNbcsQqWOPTEler30/OTHeLu70FbNo/DrD83ItlGTYTrnoCRJ/P6NRnYcHUCfnsQ/31NLqm5qH24lUcTX34erqQlX0zHcLc2ILtdpj1HnF6CtqkJXNQ/dnKqY3JGdEFIJ4pJEDMPLiMXJtndb6esK2lHkFqSx7qpKDHknJ4yXtrbx1t5utBol37t7GQX6qdWpJWIYGwybnWx/72Sss3OSWbv5wjs5J4rfsMXJq88fwu30k1+YzrWfXIRaE3sixT88RPeP/hXBbifjik3k3Hl3tIcUFaZ7DvoDAv/5x2BGel5JJt+8/fzF55Ik4TcNBmucGhtxNzcijJ5+fJXBgHbuPHTz5qGbOy8uulIkhFSCuCQRw/AjSRJtjSZ2bj2Oy+FDJoMFS2Zx2frZ7Gw08ezbzSjkMr55Ww3zLsItPRHD6OL1+Nm3rZOjB/qQJNAkKblsfSnzF09us8G54jcy5OK15w/hdPjInZXGdZ+sjsndw+7jbfT+138iBQLk3H0vGZdviPaQIk4ozsFhu4cfPrUPu8vPVcuL+NSmytPu9w8NnVyqa2okMDJy2v2KjIxgtqlqPrqqKlR6w7TGEw0SQipBXJKIYeTweQPs297Jkf29SBKokpS0ePxYkPjstVWsqy64qNdNxDA6iKJE0xEjez7owOP2I5PB/CUFXLau9Lz1cGdyvvjZRty8+vwhHHYvOfmpXH97NZoYbHhr27GNwSefAIWCwoe+fcl1QwjVOdjSY+W/nj+IIEp8cWMR8wmKJ3dTE36z6bTHKlJSTy7VVc1HlRsfPofnIyGkEsQliRhGniGTg3dfb2LE5ABAlabhpk8uIvsczuUXIhHDyDPQZ2P7u62YB4IxzC9KZ+2Vlehzpx7DC8XPbnXz6vP1jNo86HNTuP72arRTrKGJBOYXn2fk3bdRpKRS/PC/xGVG5GIJxTkoOBy4mpto3b4fd3MjBp/ttPvlWi3auWPCae481LNmzTjT5PMJqdjLxSZIkCBqyLUq9rk8yBEpUyjw27386ff7qV5eSO2a2TFZC5MgiNPhZff77bQ0DALBRumrNpZTMS8nbNmAtAwtN356Ma8+X49l0MGrz9fz8U/VxESvz1PRf/J2vMZ+XEeP0Pd//0Pxd76HPOncfT4vdUSPG1dLC+4xL6cTJpgpQArgkykZTM1j3uWXkVW9EE1xyXhHikuRREYqQcySiGFk8fqCRaVdg6NUzErnazct4MDObhoO9AOQnKJm9aYKyqsMk74wJ2IYfgRB5PD+Xup2dOH3CcgVMhavKGLpypJp76ibbPyco15efaEe65CLzGwdH7+jhuQJmlhHE8HlpPvH/4Z/YIDkJUspeOArMy5rMhGTieG4CWbjsZMmmKI4fr9MqSSprBzdvPmoK+fyf7tttA04qSrO4Ju3L0YZowatoSSxtJcgLknEMHKIosQvXznCoTYLhowkvveZWtLGlmhMRjvb3mnFZAzGonB2Jms3B73SaUEAACAASURBVJ2vL0QihuGlu32I7e+1YRt2AzC7IpvVmypIzwxNtmUq8XM5fbz2Qj3DZifpmVpuuKPmnLYK0cI3MED3v/8rottN1vUfR3/jLdEeUtiZKIZBE8z2sZ11x/C0Hz/dBFMuJ2l2aXCpbt58ksorTmsEPTLq5YdP7cPm9HHlskLu3DwnUm8naiSEVIK4JBHDyPH8e628u7+H5CQl3717GfnZp9sciKJEY72RPR+24/UEkMvHsh6rS1Cdx5QxEcPwYBtxsWPLcbrahgBIz9Ky9soKisuyQ3qcqcbP7fLx+guHsZgcpGUkccMdi0lNjy0x5Ww4St8vfgaSRP4XHyD1shXRHlJYMRhSMQ3a8HZ1jrddcbe2IPl8Jx8kk51mgqmbM+eCS59tvTZ+8twBBFHic9fNY82i/DC/k+iSEFIJ4pJEDCPDlrpe/vhuCwq5jIduX0xVSeY5H+t2+dj9QTtNh4M9EVPTNKy5spLZldkTLvclYhha/L4AB3Z1c2hvD6IgoVIrqF1TwqLawrD0v7uY+Hncfl5/8TDmgVFS0jR84s7FpGXEVj3SyLtvY37xeWQqFbmfuRe5VjfWCFca+yaCBCCBKCEhBe+XpODtkoQ09vhTbz/7Nin4MuLpt49fdk+5XTrxHDj9cSdeU5TG7jrl9cfHx2nHDL6P4JjkTju2ow2IbvdpfwN1QcGYcJqPbs7ci3J//+BQH8+81YxSIec7dy2lNH9yLafikYSQShCXJGIYfurbLPzvnw8jSUzpU+VAr42P3mlhyOQEoKQ8i7WbK8+6YCZiGBpO+H3tev84ztFgJmHuwlxWbCgLay3SxcbP6wnwxkuHGey3k5yq5oY7FpORFf02HyeQJInBp3+Pffu2aA8lYqgMOejmzQsaYVZVoUwPjQnm02818eGhfjJTNfzLvctJj7GNBqEiIaQSxCWJGIaX7sFR/uMPB/D6BW5YM5sb15VN6fmiKHL0QD/7tnXg8woolPL/396dh7V13vkC/x7tgFgECMQOZl8EtgHHsZ1m8RLH2Re3SbM0M75JJ23jaXozzTSdtHnaJJNn7u3ctplmkkxyb5a6ydhuFqe2YztunNS7hW02s4MxAoTEKgQSaLt/YGPHSWyziCOJ7+d5eGwfBPqZHzp8ec973heLl6Zi4dKUyT3b2MOZ6+0Zxt/2NMNknLjlXKsLx4rVWdAlRfr8uWfSv/ExF7ZvqYbJOITQMAVuu68EmimujO9LHqcTfR99gPFOIyAI598ACIIEEHDBMQGCZOLPC48LuODjzh4XhHOPO3/8q8cECAAg+fJx4cLPhYuPnR3xvfAYhLOfAxc9buK4ACAyPhouXSrkMbE++To6XR78r3dPoLlzCDnJkXjyvkVBOfmcQYoCEnvoOwPDY/j1W8cwaBvH0oJ4PHJrwbRvkR+xjeHQZy1oqp1YlC9SE4IVqyfm67CH0+ewO3H0izacOtkFrxdQhcqx9NoFyCvWzdnihjPeXmTcjR1bq9F1ZhCqUDluu7cEMXHzdwNhMczFa3DQNjH5fNA2jhsWJ+GBNcG36OmlgpT02WeffXbuSpkwOjp++QfNUFiYck6eh3yHPfQNx7gLv3nvJHoG7MhOjsQP79TPaH6NQiHDglwtElMiYTYNY7DfjqZaM/rMNmjjwyFIMGc/+IOBx+NF7YkufPJ+DbqNQxAEQF+WhLV3FkKXHDmnX8uZvgalUgky87Qwdw+j3zKClnozktM1frc0QjCbi/OoSiFDVlIkDtWa0NJlRXS4Emk6/9t4eCbCwr75e5YjUuS32MPZ5/F48fs/V6GqpQ/xmhD8/KEyqKewZcjlnFvTyLD/NFzOiXVo5Aop4hMjkJAcCV1yJOITI2a8vlGw6joziP2fNk3OPUtKi8KKVdmI1opzSWy2XoMulxu7PqjFmZZ+KJQy3HpvMeKCeGKyP5nL8+gXlV14c2c9ZFIBT92/GJmJvr/8PFd4aY8CEns4+zbtacTeCiPCVDL8y0NliPfRBGCb1YGKg+0wGa3o7x350vsEYWKejy45cjJc+dtK2HPNZnXg0GetaK6buDwaHqHEspVZyMiJFXU0bzZfg26XB7s/qsXppj4olFLc/O3iOZnnNd/N9Xn0nV0N+OxEJ6LUCvzy4XJEBsnoo8+ClMfjwebNm/G73/0Ob731FnJyrmxRLgYpuhLs4ezaY+jAu582QSYV8OS9i5CTMjt37VyKVhuO9rZedButMBmH0G0cQm/PMC4+60RqQiZDVUJKJCI1IfPicqDL5UblUSOOH2qHy+k5P2H/qhTILrE+11yZ7deg2+3B3o/r0FJvgVwhxbp79EhM9f334Xw21+dRl3ti8nmTcQhZyZH4aZBMPvfZXnv19fUoKSlBSIh/rRFCRF92osmC9z5tAgD8/br8OQlR54SqlcjM0yIzb2Kj2PExF8zdVnR3TASrni4rhgbsGBqwo756Yn0qVagcCReMWMXGq32yTpJYvF4vTjf34eDeZlgHHQCABblaLLsh0+8WsJxNUqkEq27Lh0QioOmUGdu3VOGmu/VITv/mtcsosMikEvzgTj1+9eYxNBuH8KdPm/DQjcE3+fxCs3Jp74YbbsArr7xyxSNSLpd78vZoIvKt5o5B/PPL+zE27sb9a/Nw72r/Oqm53R70dFlxpq0fHW39ONPWj5HhsS89Rq6QIilVg9SMaKRkRCM5TQOlKjA3UO4127Droxq01FsATFzmXHtHETKyfXN7uj/yeLz4eHMlKo91QCaT4Nt/V46svDixy6JZ1HhmAP/8h/1wujz40foS3Lg0XeySfOayQWrDhg3o7e39yvGNGzdi5cqVAKYepHhpj64Eezhz/VYHfv22AUO2cSwr0mHDzflzeslsOj30er2wDtonR6xMxiEM9n95VWZBAGLi1BOjVimR0CVFIizcv+dijI+5YDjQjmqDER6PFwqlFOXXZKBwUaLfjrb58jXo9Xrx+SeNqKvshkQq4MY7C5GeNX/C5FwR8zy6v6ob/3dHHaQSAU99dzGykgN3TtyMLu298cYbs1oMEc0N+5gLv91SiSHbOPJSo/DwTXkBMe9IEAREakIRqQlFXvHESuv20fHJOVbdxiH0mmzo7Zl4q67oBABERKkmJ7AnJEciKibUL/6/Xq8XDTU9OLyvBfYRJwAgvyQBV12bgZDQ+TvJXhAEXLs2B1KpgJrjXdj1fi1W316ABblasUujWbKiOAHtPcPYW2HEHz6oxi8eLofGz3/hmY7AHBsnoktyezz4z49qYLSMQBcdih/cqQ/oCZ8hoQpk5GiRkTPxQ9bpdMPcdX4Cu6nTCuugA9ZBBxpregAAqhAZdEmR0KVMBCutLnzOR37M3Vbs39OMni4rACA+KQLXrM6GNsjW2JkuQRCwYnU2JFIJqo4ZsfvDWqy6rQBZ+bzMFyy+c0MWjGYbGjoG8fIH1fjpdxdDLgvcc9HXmVGQGhoawqZNmzA8PIzNmzfjlltuwcKFC2erNiKaBq/Xi017mlDT2g91iBw/Xl88q2tF+QO5XIqkNA2Szm6w7PF40W+xTV4K7O4YwohtHKeb+3C6uQ8AIJVJEJcQjoSzwSo+MdJn86xGR8Zx5PPzmzuHhimw9PoFyCmM94tRMn8iCAKW3ZAJqVSCE4fP4NNtp+DxeJFTGC92aTQLZFIJHrujCL966xhauqzYtKcB31sbGKPjV4rrSJHfYg+nZ9fRM/jvvzZDJpXgp/ctEnVeglg99Hq9GB5ynA9WxiEM9I5+5XExcWHnl11IjoQ6YmZ3zLndHtQe78Kx/RP7D0okAorLk1G6LA0KZeBdAJjL/nm9XhzbfxoVB9oBANevy528tEvT5y/n0dMmK/71j8fhdHnw4I25uH5RktglTYnPlj8gIv9S0WDB5r82AwD+xy35AT25cyYEQUBEVAgiokKQW6QDMLF33eSlQOMQzN3D6DOPoM88gprjXQAmFsI8dylQlxyJ6NiwK/7N2Xh6APs/bZoMbCkLorF8ZRY0Mb5Z9DTYCIKAJddkQCqV4OgXbfhsRwM8Hi8KFiaKXRrNgnRdBL63Nhev/6UOf9rTiKTYsDldhsWXGKSIgkRbtxX/9XEtvADuvnYBluTz0siFVCFypGfHIv3sMgMupxtm0/CXwtWwdQzDtebJDZgVShkSkiMmR6y0CeFfWbrFOmjHoc9a0NowcXdzRJQKy1dmIS0rJqguX8yV0mVpkEgFHP6sFZ9/0gi32wN9abLYZdEsWFaUgHaTDXsMHXj5wxr84ntliJ7hKLA/YJAiCgK9Q3b8bmsVxl0erChOwLqlaWKX5PdkcikSU6KQePa3Yq/Xi37LyJcuB9qsY2hv6Ud7Sz8AQCIVJuZZnR2xsphsOHH4DNwuD2RyCUqXpaG4PJnr5M3QoqtSIZVIcGBvM/bvaYbH7UXJkhSxy6JZ8O0bMmG02FDXPoA/fFCNf75/MeQB/nphkAogXq8XTcYhHKzpRlVLH+KiQlCWF4fS3LigvKWUrsyow4XfbamCdWQc+WkaPHRjLkdCpkEQBMTEqRETp0bR4on5G8NDDpg6z45YdQyhzzICk9EKk9EKoGPyY7ML4rD0ugUznmNF5xWXJ0MqE/DFriYc/GsL3G4PFl/NXxACnVQiwT/cXohfvWlAW/cw3t7VgL9fN7fr2802BqkAYB6041CNCQdrumE5u50EAAzaxtF4dgn+rORIlOXGoSxXGxRDpXRlXG4P/vPDanT2jiAhJhQ/vLMooJc58DfhkSqER6qQXTBxmXTM4YSp8/yyCxKJgLIV6ZOjWjS7ChclQSKRYN/OBhz5vA1utxdly9MC+ocuAeGhCvzoLj3+9Y8VOFBtQrouAisD+PItg5SfGnW4YGgw42B1NxqNQ5PHNeFKXF2oQ3leHLr7RmBosKC6tQ/NxiE0G4fw3t4mLEiMmAxVsVHcBzFYeb1e/HF3A2pPDyA8VI4fry9BqCq4ljnwN0qVHGmZMUjLjBG7lHkjvyQBEqmAz7bXw7D/NDxuD5Z8K4NhKsCl6cLx8Lo8vLbtFN7b24RkbRhyUwNzz0UGKT/i8XhRe7ofB2tMON5ogdPlAQAo5BKU5mixTJ+A/FQNJJKJE0iaLhxLC3VwjLtQ1dIHQ70ZVS19aO2yorXLis2fNSNdF47yvDiU5moRp+HdQ8HkkyNn8EVlN+QyCTbeXQwtQzMFqdwiHSQSAXs/rsPxQ2fgdntx9fULGKYC3NICHdpNw9h19Nzk83LEBOCm3QxSfsBoseFgjQmHak0Yso1PHs9LjcKyogSU5moRcok1aFQKGZbkx2NJfjzGxt2obu2DocGMyuY+nDYN47RpGFv2tSA1Xj0xUpUXB100Q1UgM9SbsWVfCwDgkVsKkJk0P5c5oPkjuyAeEokEn247hcqjHfC4PVi+KothKsDdc10mOsw2nDo9gP/4oBo/u38xFPLAmnzOBTlFYh0dx5FTPThYbUJ7z/k64zUhWFakw9VFOsRGzmyEYdzpRk1bPwwNZpxs6oVj3D35vmStGmV5WpTlxiExNmxGz+Mr/t5DsbR0DuHf3j0Bp8uD9ddl4iY/vkOPPQxs/ti/00292PVhLTxuLwoWJeJba7IZpi7BH3t4MZvdiV+9eQy9Qw5RNle/EpdakJNBag45XR5UtfTiQLUJ1a19cHsmvvShShmW5MdhmT4BmYkRPvkGcrrcqG0bgKHBjBNNvbCPuSbflxQbhtJcLcry4pA0hQUIfc0feyg2y6Adz79tgHXUiW+VJOJ7a/37Dj32MLD5a//OtPbhkz/XwO32Iq9Yh2vX5k5OeaAv89ceXuxMzzBe+GMFxp0e3LcyG6vL/Wu5CwYpEXm9XrR1D+NATTeOnurBiGMiwEgEAUULorFcn4CFWTFzuo6G0+VBXXs/DPUWnGiyTNYEAAkxoSg9O1E9JU4t6g9pf+mhvxh1OPH8OxXo7htFYboG/7i+xO/v0GMPA5s/9894uh87t9bA5fIgpzAe19+cC4nEv18PYvDnHl7saF0PXvmoFhJBwP+8dyHy0/xn8jmDlAj6rQ4cqjXhYI0J3X3n9/hKiVNjeZEOVxXqEBmmEK2+c1xuD+rbJ0aqjjf2wmZ3Tr4vXjOxTlVZbhxS4+c+VIndQ3/icnvwfzZXoq59AEmxYfjZA6UI9dGGu7OJPQxs/t6/rjOD2L6lCi6nB1n5WtxwSz6kfv7LxVzz9x5ebMu+Zuw8fAbqEDl+8XDZjKe4zBYGqTkyNu5GRaMZB6pNqG8fwLkvbESYAksL4rGsSIfU+G9uhtjcHg/qzwyiot6MikYLhkfPhyptlGpyonq6LnxOQlWgnQB8xev14v/trMf+qm5EhCnwLw+V+s3J5XLYw8AWCP3rNg5h++YqOMfdyMiJxerbCximLhAIPbyQx+PFb7dUoqatH6nxavzsgVIo/WDyOYOUD3m8XjScGcTB6m4YGiwYc05M6JZJJViUHYvleh0KM6IhDbAhZ4/Hi4aOQRgazKhosMA6cv5uwpgI1eRE9YzECEh8FKoC7QTgK9sPncafP2+FQibBU/cvRkZChNglXTH2MLAFSv96uqz4y39XYnzMjbSsGNx4RyGkssA65/pKoPTwQja7E8+9ZYB50I6lBfF45NYC0eeCMkj5gKl/FAdrunGoxoQ+69jk8aykSCzTTyyYGRYkiyN6PF40dw7hWL0ZFQ1mDF6wRIMmXInSXC3K8+KQmRQ5q6EqEE8As+3cnAEBwA/u1KM0Vyt2SVPCHga2QOqfxTSMj9+rxJjDhZQMDdbeVQSZH4xkiC2Qengho8WG59+uwJjTje/ckIUbl6SKWg+D1CwZcThxtG5itfGWLuvk8ZgIFZYV6bBMr0N8kC966fF60dppxbF6MwwNZgwMnw+RkWoFynLiUJanRXZy1IzvognUE8BsaTZOLHPgcnv84kQyHfO9h4Eu0PrX22PDx+9VwmF3IiktCjfdrYdcMb/DVKD18EKGejNe/rAGggD85DsLUZgeLVotDFIz4HJ7UNPWj4PV3TjZ3AuXe+LLpVRIUZ4bh+V6HbJTonx2ecufebxetHVbUVFvwbF6M/qs5/cBjAhToDRHi7JcLXJSo6Z1aTOQTwAzZR4YxXNvV8Bmd+L6RUl4YE2O6EPb0zGfexgMArF//ZYRbHvvJOwjTiSkRGLdPXooLrGgcbALxB5e6M+ft2D7oXaEqWT4xcPlou3gwCA1RV6vFx1mGw5Um3DklAnWs5OuBQAF6Ros0ydgcbYWynn+m86FvF4vTpuGYWgww1Bv/tLmyuGhcizOmZhTlZsadcW37Af6CWC6bHYnXninAqb+URQtiMY/3lMccHPszpmvPQwWgdq/gb5RfPzuSYzYxhGfFIGb1xdDGQB3ufpCoPbwHI/Hi9//uQpVLX1I1qrx8wdLRfnZyyB1hYZsYzhU24ODNd0wWkYmjyfEhGK5PgFLC+IRHRF4+wDNNa/XizM9tslQ1TNgn3yfOkSORdmxKMuLQ36a5pKhKtBPANPhcnvwm/dOoqFjEMlaNX72wOJLbg/k7+ZjD4NJIPdvaGAU296thM06hriEcNzynWIog2Te6lQEcg/PGXU48eu3DOgZsGNJfhy+f1uhKMvxfJN5H6TGnW6cbJ5YbbymrQ/nvhrqEDmuyo/HMr1uzm73D0ZerxdGywgMZ+dUXbimVqhShkU5sSjLjUNBejTkF91lEwwngKnwer14Y3sdDtaYEKlW4JmHygI+uM+3HgabQO+fddCObe9WYnjIgdh4NW69twSqkPkVpgK9h+d09o7gubcNGBt3i7I1FoPURbzeibvQDlSbcKzePLldilQioDgzBsv1CSjOjPH7VaMDUafFBkODBYZ6Mzp7z4/6hSilWJg1MVJVlBENuUwaNCeAK7XtQBs+/FsbFHIJfnZ/KdJ0/rvm2JWabz0MNsHQP5vVgW3vVmJowI5obRhuvbcEoX6wGPJcCYYennO80YL/eL8aggA8sb4ERQti5uy5GaTOPe+gHYdqJlYbNw+ev9yUrgvHcn0CluTHITx0/rzAxNbVO4KKBjMMDRZ0mG2Tx5WKiVBVXqgD3B6oQ+STb2EhsoCdL3Qph2pN+K+PT0EA8PjdxViYHSt2SbMimE7i81Gw9G9keAzb3j2JwX47NDGhuPW+EoSplWKXNSeCpYfnfPBFKz4+eBqhShl+8XAZ4uboTvl5HaTsYy4Y6s04UGNCY8fg5Puj1ApcXaTDsqIEJMWG+bweujRT/+hEqKq3oL3n0t8fIUoZwkPkCJsMWDKoQxRn/7zw+Pk3hR+vJ9PYMYj//d4JuNxe3LcqG6vL/GuzzpkItpP4fBNM/RsdGce2d09ioHcUkdEhuO2+hVCHB3+YCqYeAhN3i7+0tQqVLX1I0obh5w+WQqXw/TzSeRekPF4vOgcc2Lm/FccbLRh3eQAACpkEi3O1WF6UgPw0DXcL91PmQTsqGszot42jb8COYfs4bHYXRuxOjNidmM43rEImgTpUDrXq64PWlwLY2ceFKKU+nxvX0z+K5942YMThwsrSZNy/OsenzzfXgu0kPt8EW//so+P4+L1K9JlHEBGlwm33LUR4ZGDPQ7ycYOshAIw6XHjubQNM/aMoy9XisTuKfH6unndB6qP9bfhof9vkv3NTorBMr0NZblxA3wE133zdCcDj8WJ0zAWb3Xn+bXTizxHHRcfO/nvE7pxc/2sqpBIBYSoZwkLkF42AnQ9bFwewMNWVX3q02Z147m0DzAN2FGfGYOPdxUEX7oPxJD6fBGP/HHYn/vLflbCYbFBHKHHbfQsRqQmMvSunIxh7CADdfSP49VsGOMbd2HBzPpbrE3z6fJcKUkGZKhJiQpGXpkFeahSuLtSJtoAXzT6JRJgMM1fK6/XCMe7GiP18uDoXviaClmvi+OjEyJft7OPGxt2wjjphHXWiewo1hirPX2IMD5UjTHXBJchQxcTfVTJ8uL8N5gE7UuPU+IfbC4MuRBH5I1WIHLfeW4K/bK6CuWsY771+FDkF8SguT0ZMnFrs8ugKJcSE4R9uL8RbnzSIPnUjKEekgOBN4fOJ2D10ujyTI1q2r3kbsTsxfNH7Rx2uKV161IQr8S8PlUETpHM1xO4hzUww9298zIV9OxvQUm+ZPJaUFoWS8hSkZkYHzZI3wdzDuTTvRqSIZoNcJoEmXDmlkOPxeCcvMY7YXWfnd50d9booiClkEqy/PitoQxSRP1MoZVhzRyEG+0dRbehEfXU3OtsH0dk+iMjoEBSXJSO3SDfv9+qjy+OIFPkt9jDwsYeBbT71b8zhRF1lN6orOmGzTmzGrlTJULAwAUWLk6AO0MVx51MPfYkjUkRERJegVMmx8KpUFJcno7WhF1XHjOjpsuLE4Q6cPNKBzLw4FJcnIz4xQuxSyc8wSBEREZ0lkUiQlR+HrPw4mDqHUG0woqXeguY6M5rrzNAlRaC4PBkZObGQBOHiwDR1DFJERERfQ5cUCV1SJJZe50DN8U6cOtkFU6cVps5TCI9Qoqg0GfklCVCq+KN0PptR91944QWEhIQgNDQU9fX1ePrpp6HVamerNiIiItGFR6pw9fWZKFuehobqHlQZjBgasOPQZy0wHDiNPL0O+rLkoF6Pir7ZjMYlQ0JC8MQTT+D73/8+8vPz8corr8xWXURERH5FrpChqDQJ9z26BDfdXYTE1Cg4x92orujEn149gk/+XIOuM4MQ4R4uEtGMRqSeeOKJyb97vV6Ehs7N5oFERERiEQQB6dmxSM+ORW/PMKoMnWg61YO2pl60NfUiNl6N4vJkZOXHQSrlPKpgd9nlDzZs2IDe3t6vHN+4cSNWrlwJALBarfjhD3+Il156CVFRUZd9UpfLDZmMa3MQEVFwsFkdMBxsh+HQaYzaxgEA6gglypeno3RpGkLVXC8uWM14Hanh4WE8++yz+PGPf4yUlCvbtZ7rSNGVYA8DH3sY2Ni/qXO53GiqNaPKYES/ZQQAIJVJkFsUD31ZMqJjw+a0HvZwdvhsHan+/n688MIL+OlPf4r4+Hjs2rULN95440w+JRERUcCSyaTIL0lAXrEOne0DqDxmxJmWfpw62Y1TJ7uRkqFBcXkKUjI0QbMNzXw3oyC1YcMGuFwuPPnkkwCAsLAwBikiIpr3BEFAcno0ktOjMdA3gipDJxqrTehoG0BH2wA0saEoLktGTmE8ZCJvukszwy1iyG+xh4GPPQxs7N/sctidOHWyCzUVnRg5O49KFSJDwaJEFC1OQpgP5lGxh7ODW8QQERGJTBUix+Kr01CyJAUt9RZUHTPCYhrG8YNncPJwB7LyJ7ah0eq++Yc2+R8GKSIiojkklUqQUxiP7II4mIxDqDxmxOmmXjTW9qCxtgcJKZEoKU9GWlYsJBLOo/J3DFJEREQiEAQBCSlRSEiJgnXQjuqKTtRVdqO7YwjdHUOIiFJBX5aMPL0OCiV/XPsrdoaIiEhkEVEhWL4yC+Ur0lFX1Y1qQyesgw4c+LQZx/7WhvySBOhLkxEeqRK7VLoIgxQREZGfUChlKClPgb40GaebelF1zIhu4xAqjxpRdcyIjBwtSsqTEZ8UweUT/ASDFBERkZ+RSAQsyNViQa4WFtMwKo91oKXOgtaGibe4hHAUlydjQa6W29CIjEGKiIjIj2l14Vh1awGWXjeG2uOdqD3RBXP3MD7dVoew8FboS5NQsDABSpVc7FLnJQYpIiKiAKAOV+Kqaxdg8bI0NNb0oMpgxGDfKA7va4XhwGnk6nUoLktGVHSo2KXOKwxSREREAUQul6JwUSIKFibgTGs/qg1GdLQNoPZ4F2qPdyEtMwbF5clISosSu9R5gUGKiIgoAAmCgLTMGKRlxqDfMoIqgxGNNSa0t/ShvaUPMdowfGt1DuJTODHdlzhDjYiIKMBFa8Nw3U25ePCHV6P8mnSEhMnRZxnBB386gZNHOsQuL6gxSBEREQWJkFAFypanB+IEPQAADPdJREFU48HHrsaK1VkAgMP7WtFSbxa5suDFIEVERBRkpDIJ9KXJWHVLPgBg78d1MHUOiVxVcGKQIiIiClJXX5eJgoUJcLu92Lm1BtZBu9glBR0GKSIioiA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\n", 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\n", +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "text/plain": [ "
" ] }, "metadata": { "filenames": { +<<<<<<< HEAD "image/png": "/Users/MortenImac/Teaching/MachineLearning/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_54_3.png" +======= + "image/png": "/Users/hjensen/Teaching/FYS-STK4150/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_54_3.png" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 } }, "output_type": "display_data" @@ -2029,14 +2092,22 @@ "outputs": [ { "data": { +<<<<<<< HEAD "image/png": 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\n", 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\n", +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "text/plain": [ "
" ] }, "metadata": { "filenames": { +<<<<<<< HEAD "image/png": "/Users/MortenImac/Teaching/MachineLearning/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_60_0.png" +======= + "image/png": "/Users/hjensen/Teaching/FYS-STK4150/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_60_0.png" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 } }, "output_type": "display_data" @@ -2174,14 +2245,22 @@ "outputs": [ { "data": { +<<<<<<< HEAD "image/png": 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\n", 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\n", 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\n", 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\n", +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "text/plain": [ "
" ] }, "metadata": { "filenames": { +<<<<<<< HEAD "image/png": "/Users/MortenImac/Teaching/MachineLearning/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_70_1.png" +======= + "image/png": "/Users/hjensen/Teaching/FYS-STK4150/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_70_1.png" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 } }, "output_type": "display_data" @@ -2430,14 +2517,22 @@ "outputs": [ { "data": { +<<<<<<< HEAD "image/png": 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MpE7dS+rT/aRO3cvd9emJ3f18nbsWGKnTfsy5ubm88MILPP3007Rt25aff/4ZgOHDh7Nr1y4AnE4nycnJ9O/fvy6nEEII4SfOzMIOSV+GIXGG3+x77KuqbTFv3bqVb775huzsbN566y3uuusu7r77bpxOJ08++SQAer2ea6+9ll69ejFw4EAWLVpEQUEBs2fPxmg0NviHEEII4T0yC9u9qg3mAQMGMGDAgHKPffXVV5Uef88999S/VEIIIfyGP26t6MtkgREhhBD1Iqt2uZcEsxBCiHqTVbvcp06Tv4QQQgjRMCSYhRBCCB8iwSyEEEL4EAlmIYQQwodIMAshhBA+RIJZCCGE8CESzEIIIYQPkWAWQgghfIgEsxBCCOFDJJiFEEIIHyLBLIQQQvgQCWYhhBDCh0gwCyGEED5EglkIIYTwIRLMQgghhA+RYBZCCCF8iMbbBRBCCCF8iS4jDo1pO05jP2ytJ3v8/BLMQgghxF90GXEYEmegUmwoquUAHg9n6coWQggh/qIxbUel2ABQKTY0pu0eL4MEsxBCCPEXp7EfikoHgKLS4TT283gZpCtbCCGE+MuZbmsZYxZCCCF8hK31ZK8E8hnSlS2EEEL4EAlmIYQQwodIMAshhBA+RIJZCCGE8CESzEIIIYQPkWAWQgghfIjcLiWEEMJtzl1n2tvrTvujaoM5OzubxYsXk5SUxBdffAFAfn4+CxcupG3btqSmpjJz5kyio6MBWLZsGRaLBZPJxGWXXcaIESMa9hMIIYTwCeeuM63J30zwyU+9uu60P6q2K3vHjh2MGDECRVHKHlu0aBGDBg3ivvvu46qrrmLevHkA7N69m/j4eB577DGeeeYZ5s2bh8lkarjSCyGE8BnnrjOtLdjq9XWn/VG1wTxy5Ej0en25xzZs2ECfPn0A6Nu3Lxs2bABg3bp19O7dGwCtVktsbCzbtm1zd5mFEEL4oHPXmXaEDfD6utP+qE5jzKdPny4L69DQUAoKCnA6neTm5hIbG1t2XGhoKLm5udW+X0RECBqNulZliIkx1K7QolpSp+4l9el+Uqfu5fb6jJkOxiDIiUcVPZCQ2Dsh5cqyvxtj73Tv+XyQO+q0TsEcFRWF1WrFaDRisVgICwtDo9EQGRmJ1WotO85isRAZGVnt++XlFdbq/DExBrKzzbUut6ic1Kl7SX26n9SpezVYfRrGlf4HkG0+/++NWG3rtLIQr9PtUsOGDSMhIQGAnTt3MmzYMACGDx/Orl27AHA6nSQnJ9O/f/+6nEIIIYRokqptMW/dupVvvvmG7Oxs3nrrLe666y5mzpzJggULSE1N5fjx48yaNQuAXr16MXDgQBYtWkRBQQGzZ8/GaDQ2+IcQQgghGguVcvZ0ay+pbXeKdGm5n9Spe0l9up/UqXtJfbqfV7uyhRBCCNEwJJiFEEIIHyLBLIQQQvgQCWYhhBDCh0gwCyGEED5EglkIIYSogiZ+C2G33ETAqUzPnM8jZxFCCCH8UMCpTMLuuh1VXi4U1m6VyrqSYBZCCCEq4nRimH4XAdlZWP71Mq4LYqt/jRtIV7YQQghRAf0rLxK4eRO268dQdN+DHjuvtJiFEELUmC4jDo1pO05jP2ytJ3u7OA0m8IfvCHl9Ec4LYjG/9iaoVB47twSzEEKIGtFlxGFInIFKsaGolgM0ynBWJx/G8Mj9KMHBmD5YgWIM8+j5pStbCCFEjWhM21EpNgBUig2NabuXS9QArFaMd00hwGzCvPB1Srpd7PEiSDALIYSoEaexH4pKB4Ci0uE09vNyidxMUTA88SiaxAMU3X0ftvG3eKUY0pUthBCiRs50WzfWMeag9/5L0Jef4eg3AMsLL3mtHBLMQgghaszWenKjC2QAzdZ4Qp+dgys6BtN7H0NgoPfK4rUzCyGEqLOmMjvaE1RZWRjvuQMUBdO7H+Jq2cqr5ZFgFkIIP9NUZkd7hNOJ8b6pqDNPYnn2Xzguu9zbJZLJX0II4W+axOxoD9G/+Pzfi4g89Ki3iwNIMAshhN9p9LOjPSTw228Ieet1nBd2wvz6Wx5dRKQq0pUthBB+prHPjvYE9YH9GB+5HyVEj+n9T1AMxiqPNxfaMYR4ZkKYBLMQQvihxjo72hNUuacJu2MSqkIrBe9/QkmXrpUe61IUlv98kA27TvD8tP60a25o8PJJV7YQQoimw+nEeO9U1MdSsT4xC/voMZUeqigKn6w5xIZdJ2jf3EDzyBCPFFGCWQghRJOhf34ugRs3YBt5PYVPPVPpcYqi8Mkvh1ifkEG7ZqE8cWtvdFq1R8oowSyEEKJJ0K1aQcjSt3F26Yr5raUQUHEEKopC3K+HWbczgzYxoTw5qQ+hwVqPlVOCWQghRKOn2bENw5MzcIWFU/BhHEpoxWPFiqKw6rcj/LYjndYxep6c1NujoQwSzEIIIRq5gMyTGKfeBk4npqUf4IrtWOFxiqKwet0Rftl+nFbRep66tQ9GD83EPpvMyhZCCNF4FRdjnHYb6lOZWF54CcfwERUepigKn69P5uetx2kZFcJTk/pg1HtnvWxpMQshhGicFAXD04+j3bGd4vG3UHT/Q5UcpvDl7yn8GH+MFpEhPD2pD2FeCmWQFrMQQjQqntrcwh820Qh+922CVq3A0bsP5oWvV7iy15lQ/v7PNJpHBPPUpD6Eheq8UNq/STALIUQj4anNLfxhE43A39agf3YOrphmmD6Mg+Dg845RFIXP1ifzU/wxmkUE8/TkvkQYvBvKUM9gXrZsGRkZGURERJCWlsa///1viouLWbhwIW3btiU1NZWZM2cSHR3trvIKIYSoREWbWzREYHrqPHWlTjyA4d5pEBhIwccrcbVqfd4xZ2Zf/7L9OC0iS8eUfSGUoR7BnJ2dzdKlS9myZQsBAQE88MADrFmzhu3btzNo0CBGjRrF2rVrmTdvHvPnz3dnmYUQQlSgdHOL5X+1ZBtucwtPnacuVFlZhN0+kQCLGdO7H+K8pP95xyiKQtwvh/ltZ/pfs697e737+mx1Dubg4GC0Wi0WiwWj0UhhYSGdOnVi4cKFPPDAAwD07duX2bNnu62wQgghKuepzS18dhON4mLC7pyE+vgxrLPmYrtx3HmHuBSFT34+yPpdJ2gTo+fJW703+7oyKkVRlLq++Ouvv+bbb78lJiYGRVF49tlnGThwIJs3b8ZoNOJ0Orn44ovZv38/Gk3l3wGczhI0Gs8sdSaEEKIRUhS47TZYuRJuHATP9IKYSyH2zrJDXC6FNz7bxS9bjxHbKoz/mz7Ip1rKZ9S5xZyYmMh7773HV199hUaj4ZVXXuHNN98kKioKq9WK0WjEYrEQFhZWZSgD5OUV1urcMTEGsrPNdS26qIDUqXtJfbqf1Kl7Nbb6DJn/MvqVK3H2ikV90w5UyX+ipHyA2VSMrfVkXC6F939IZPO+TNq3MPDYhJ7Yi+xkF9ndVoba1mlMTMWrj9X5PuZTp04RHh5eFroxMTHY7XaGDRtGQkICADt37mTYsGF1PYUQQghRLd2Xn6Gf/zIl7dpjf2EQKm1p2KoUG8Fpi9Ecj2PZdwfYvC+TC1oaeepWzy+zWRt1bjFffvnlbNiwgVdeeQWDwcDhw4eZM2cOgYGBLFiwgNTUVI4fP86sWbPcWV4hhBCijGZbPIYZD+IyGCn4ZDUaQwJK4uelE9MAleUwS39IYUteCzq2NvL4hN6EBPn2ncJ1Lp1area5556r8LkXX3yxzgUSQgghaiLgWBphd04GhwPTRysp6dKVEroCEJy2GMxHmH/0Cf7MH0SXqNM8MnEowTrfDmWQBUaEEEL4IVVBfultUTnZmF9egOPKq8qes7WejL0E3v4+na0F/ehh2M9jV0ej8oNQBglmIYQQ/sZmwzjtdjRJiRTeM53iu+8r93Sx3cmSP7qSWNCCHjHZPH5VFLSf5KXC1p4EsxBCCP/hcmF47CECN/2ObdQNWP/1SrmnC4sdvPrZbpIzTPTpFM39Nw6DGt6O6yvrf0swCyGE8Bv6l/6PoC9W4+g3ANPby0D9d+iaCu0sWrWLY1kWLu3WnLuu74pGXfnNR2cHMeAz639LMAshhPALQe+/S8jri3DGdqRg+aflNqbIM9tYsCqBk6cLGda7FVOuuYiAgPN3kzrj3I047OEDfWb9bwlmIYQQPi/wpx8InfMUrugYClZ9iRIVVfZcVn4RC1YmkFNQzLUD2jJx+IWoKtji8WznbsQBoKh0PrH+twSzEEIIn6bZsQ3j9GkQFETBitW4OlxQ9lxGjpUFqxIosNgZO+QCbrisQ7WhDOdvxGFrORlby8kyxiyEEEJUJSAlmbDbJ4LNhmn5Kpx9Lil7Li3TzMJPd2EpcnDrlRdyzYB2NX7fyjbi8IUNOSSYhRBC+CRVTg7ht44j4PRpzAtew371yLLnDqfns/iz3RTbSph6XReG9mpV6/e3tZ7sE0F8LglmIYQQvsdqJWzKRNSpR7E+/iTFd0wre2r/0VyWfLmHkhKF+8ZczMBuzb1YUPeTYBZCCOFb7HbC7rod7Y7tFE+4lcLZ/yx7antSFku/3Q+oeOimHvTuFO29cjYQCWYhhBC+w+XC8Mh0Atf9hu3qazEvfhP+msy1bmc6n6w5hC5QzSPjetC1Q6SXC9swJJiFEEL4BkUhdM5TBH31BY4Bl2J69yPQalEUhf/9kco3m45iDNHy+MTetG9R8V7GjYEEsxBCeJmvLAXpbSHzXyb4/XdxdutOwYrVEBKCy6Ww4tdDrNuZQXRYEE/c2pvmESHeLmqDkmAWQggvOncFKvCNW3Y8Lei9/6Jf8Aol7TtQ8OmXKGHhOJwuln13gG1JWbSJCWXmLb0ID9V5u6gNrvJFRIUQQtSJLiMOfeJMdBlx1R577gpUGtP2hi6ez9F9sRrDM0/himlG/uqvcTVvQZHNyeLPdrMtKYvObcKYfVufJhHKIC1mIYRwq9q2gM9dgaqypSAba3d34G9rMDxyPy5jGPmffoXrglhMhXZeXb2btEwzfTpFM33MxQRqa7ZDVGMgwSyEEG5UUQv43CCtKGSrCt3G2t2t2RqP8a4poNFg+uRTSrr3ICe/iIWf7uJUXhFDerbkzpEXoQ5oWp27EsxCCOFG1bWAKwvZqsK7JmHvb9T79xF22wSw2zF9FIfj0sGkZ1lYuHoXBRY71w9qz7ihsTVa97qxkWAWQgg3OROmRS1vgYDAClvANW1Rnx3eRS1v8Zmdj9xBffgQ4RPGEFCQj+mN/2K/5joOHstjyRd7KbQ5uXVEJ67p39bbxfQaCWYhhHCD8mGqw9z1tQpbtTUZUz5vS8KAQMxdX2sUY8wBR1MIu/kGAnJyMM9fjG3iJOIPnOK97w+gKHDv6G4M6t7C28X0KglmIYRwg5p2N9dkTLmi8PbVDRdqIyD9OOHjx6DOPInlXy9TdMc0fopP47N1yQTr1Dx0Uw+6NdLVvGpDglkIIdygprOrofpdjWoS3v4mIPMkYTffgPr4MaxznsV674PE/XKItTsziDDoeHxCL9o0C23QMvjLzHYJZiGEcAN3h2ljaCGfocrJIWz8GDRHU7A+/iR5Dz3O0q/2knA4hzYxeh6b0ItIY1CDlsGfZrZLMAshhJs0pjA9o76tTFV+HuETbkRz6CCF9z9M5qOzeH1lAiknTHRtH8FDN/UgJKjho8ifZrZLMAshhKhQfVuZKrOJsFvHodm/l6I77yZlxlxeXb6TrPwiBndvwdTruqBRe+Ye5doMNXibBLMQQjQhZ1rAmIeAYVyVx9arlWm1YrxtItqdOyi+ZTK7Hn2W1z/ZiaXIwejBHbjp8gs8eo+yP43bSzALIUQTcXYLmBPL0XUpdstyoeexWgm7fSKBWzZTPHYc6x94nqWf7qakROHOkRcxrHdrN32i2vGXoQYJZiGEaCLObgHjqr4FXKdWpsVC2G0TCPzzD4pHj+HLac+y6n8HCNSqeWh8d3p2jK735/CX2dV1JcEshBBNxNktYALKt4ArC7tatTItFsImjydwy2aKbhjLOzc9zdoNqYTpA5kxoScdWhjr/Rn8aXZ1XUkwCyFEE3F2CzikzRBsf40xuyPsVBYzYZPGo43/E+vosbx45SPs25dFu2ahPDq+p9tuh/Kn2dV1Va9gTjWAKnMAACAASURBVElJ4fvvv0en07Ft2zYeeeQR2rVrx8KFC2nbti2pqanMnDmT6Oj6d10IIYSovzMt4JAYA2SbgfqHncpiJuzWm9Fu3ULBqBuZNWA6GcfN9L4wmvvGdCMosOKoqUuXtD/Nrq6rOgdzSUkJr7zyCu+88w4BAQGMHTsWjUbDokWLGDRoEKNGjWLt2rXMmzeP+fPnu7PMQggh3Kg+YVd6S9TNaLfFk33tGB7rdTemfBsjB7Rj/BUdCQioeOZ1XVvp/jS7uq7qHMx79+5FURSWL19OcXEx4eHhTJw4kQ0bNvDAAw8A0LdvX2bPnu22wgohhHC/uoadymwi7JZxaLdv5fiI0cy4eCouh8LU67owtFerKl9bn1a6v8yurqs6B/OJEyfYtWsXixYtwmAw8OSTT6LVajl9+jR6vR6A0NBQCgoKcDqdaDSVnyoiIgSNRl2r88fEGOpadFEJqVP3kvp0P6lT9ypXnzHTgek1f3FBAdw2HrZvJeWK0TzeYxrBwTqeubM/vTrFVP968xA4sRxcpRPRQtoMKe1e93Pu+B2tczDr9XpiY2MxGEoLcckll7B161aioqKwWq0YjUYsFgthYWFVhjJAXl5hrc4dE2Mg+6+xEeEeUqfuJfXpflKnVavteG119VnV+6lyTxN26zi0uxLYPfBanu09jeioUGaM70nL8KCa/ZwM49B1Kf77HIZxZWPeDa2hbreq7e9oZSFe52Du1asX+fn5lJSUoFarOXHiBB06dCAwMJCEhARatmzJzp07GTZsWF1PIYQQogbcfQtRVe+nOnWK8Ik3okk8wJZ+1/LyoPvo1D6Kh8b1IDRYW6vzeKNL2h9ut6pzMIeHh/Pkk0/y0ksvERERQW5uLg899BDFxcUsWLCA1NRUjh8/zqxZs9xZXiGE8BueWgjD3bcQVfZ+AenHCbv5BjRHU1gzYAxvXDaVy3q25o6RF3lszev68ofbrep1u9TVV1/N1VdfXe6xoKAgXnzxxXoVSggh/J0nW2buvoWoovdTpxwhbPyNqNOP8/mlE/h48GQmDO/EtQPaenTN6/ryh9utZIERIYRoAJ5smTXEXtBnv5+zoBdhE0aizs7ioyG388Plt/L4jRfTPTaq3mX3NH+43UqCWQghGoCnW2buHq89836aXTsJmzgKdX4e7wy/l51XTeCfN/ekeWSI287lab5+u5UEsxBCNAB/aJlVR7tlM4ZJ41EVFrL42kc4feMt/OOGbgTrJDoaktSuEEI0EF9vmVVFu/ZXDHdORnE4mH/9E0RMvY2HL7+AAD8aT/ZXEsxCCCHKCfx8NYZH7seJivnj5tDn0Tvp36WZt4vVZEgwCyGEKKN583XCXvgHFl0Ir096gZFPTKZdc/9fkcufSDALIYQARYG5c4hY9ian9RF8+NBCbnlwDMaQQG+XrMmRYBZCiKbO4cB+9720/ulL0iNasea5d5h8y1C/WTSksZFgFkKIJsxlNlM8/hbaJ2ziUMvOHH37Y24Y3M3bxWrSJJiFEMKP1WfZT0t6JgE3jaV92gH2duqHa8Uq+naQSV7eJsEshGhyPLWGdUOrz7KfRzbvIeTG0bTKOc6uAdcSsfJjQgzBDVlcUUMygCCEaFLOhFlI+jIMiTPQZcR5u0h1VtGyn9VRFIWdq9cQce1wWuUcZ9/YO2n5zSoJZR8iwSyEaFLqEmbepMuIQ584s8IvEKXLfuoAarTsp81RwrqXljH08duJsOSRPOMfNF+6hAC1ukHKLupGurKFEE2KP+wudEZ1XdW1WfbzVF4he5/6NxO/fZMStQbzRyswXje6YT+AqBMJZiFEk+JPa1jXZIeqmiz7uX3/SZyzZjFp69dYjZEUxq0m5voRZGebG6zsou4kmIUQTY6/rGFd39a9w1nC5z/uo9/LTzH4yBZM7Tri+OIraN+hYQos3EKCWQghfFR9Wven8gr5ZPlGpi2bw0WZhzEPvAz78jiU8IiGKq5wEwlmIYTwYXVp3W9NPMWvy9cwe/XzNDdlY50wieJXl0CgLK/pDySYhRCikbA7Slj122FMX33Hiz8sRG+zYp01l8KZT0MT2K6xsdyfLsEshBCNwMnTVt7+ah+X/BzH479/BFotprfexTb+Fm8XzSPqs9iKr5FgFkIIP/fn/kxWfreXe358gxEH1lHSvAWmD1fgvKS/t4vmMTWZwe4vJJiFEMJP2RwlrPz1EHs2H+D5b1/hohMHcfTug+mjlbhatvJ28eqsLl3S/nR/enUkmIUQwg+lZZr57//2o0/cy+vfvUJEQTbF4yZgfvUNCPbf5TXr2iXtT/enV0eCWQjhlxrLRJ/acikKa7Ye54sNyQxK3MjMX5agcdix/OMFih55zOOTvNz9c6hPl7S/3J9eHQlmIYTfaUwTfWojz2zjve8PkHj0NHdt+5Sxmz7FFWrA9P7H2K+5zuPlaYifQ2Pqkq4rCWYhhN9pLBN9atPaTDiUzQc/JkFuLvM3vMlFB7ZQ0r4DBcs/paRLV7eeq6Ya4ufQmLqk60qCWQjhdxpDq6qmrU2bo4RPfzvM+l0n6Hz6KC/8vJDQzHTsw0dgensZSmRUnc5FzPR6f4aG+jk0li7pupJgFkL4ncbQqqpJa/PMBK/M3ELGH9vElG/fIMBWjPWJWRQ+ORtquF1jxVtd1j+YG8PPwRdJMAsh/FJFraq6dtd6aiLZ2eepqrV59gQvld3OS/tX0uO3L3GFhVPw3ke1Hk9uyB6Gpt66bQgSzEKIRqGuE5E8NZHs3POYu76Guetr530hyMkv4v0fEkk6lk8HZwH//nUhxgN7cF7cg4L3l+O6ILbW55aWrX+RYBZCNAp1nYjkqYlkFZ3H2nVR2bkURWHjnpOs+u0wxfYSxjlTueOTf6HOPU3xhFsxz18MISF1Pr+0bP1HvYO5uLiYCRMmMGTIEGbNmkV+fj4LFy6kbdu2pKamMnPmTKKjo91RViGEqFRdumt1GXGorYdQ0KDC2aATyaoqX77Fxoc/JrEn+TQhWvhP7lq6fPwGqNWY5y2ieOrdTWITClGq3sG8ePFiunXrVvb3RYsWMWjQIEaNGsXatWuZN28e8+fPr+9phBCiSrXtri3XtYwaW8RQbC0brlVZWfm2Jp5i+c8HsRY7GRjh4vEfXkX/50ZKWrfB9O6HOPsNaJDyCN9Vr2D++uuv6du3LwcPHqSwsBCADRs28MADDwDQt29fZs+eXf9SCiFEDdSmu7Zc1zIllOg7N3hX79nlsxQ5WP7zQbYlZRGoDeCJ6BwuX/QM6pxsbNdeh/m1t2p0K5RofOoczEeOHCElJYWZM2dy8ODBssdPnz6NXq8HIDQ0lIKCApxOJxpN5aeKiAhBo6nZtP8zYmIMdSu4qJTUqXtJfbpJykeQEw/mgcTE3um+9zUPgRPLwWWDAB0hbYYQ4qGf2bYDmSxZvYs8s42L2xqZm/YDhrkLQaOBV19FN2MGOg90XcvvqPu5o07rHMy//PILgYGBLF26lB07duBwOPjwww+JiorCarViNBqxWCyEhYVVGcoAeXmFtTp3TIyB7GxzXYsuKiB16l5Sn+5xdnczKe9jMhW7r1VrGIeuS/HfXcuGcdDAP7Mim5OVvx1m056TaNQq7rhYz43/nUPg1tJVvEzvfoizd1/IsTRoOUB+RxtCbeu0shCvczCf6a4GsNlsFBYWMnXqVFJSUkhISKBly5bs3LmTYcOG1fUUQogm7uzuZlzunzHtyZnKe5Jz+Oing+SZbbRrFsrM0HQueHIqAXl5FN84DsvC11CMYR4pi/Bt9Z789fPPP7Nt2zYcDgffffcdM2fOZMGCBaSmpnL8+HFmzZrljnIKIZqgs2cyE+CfS2+aC+2s/O0wW/afQh2g4qZ+Lbjlt/fRv7cURafDPH8xxXdMk1nXooxKURTF24WobXeKdMG4n9Spe0l9us+Z1bJC2gwh2zDO28WpMUVR2JaUxYpfDmEudHBBSwMPdnBy4dxH0Rw6iLNTZ0xLP6Tk4u5eKZ/8jrqf17uyhRDCE850N4fEGBp8DNhd8sw2PllzkITDOWg1Adwy9AJu3P41oZNfROVwUHT3fVie/RcEB3u7qMIHSTALIYSbnFm969O1RyiyObmobTj39g7lgrkPEbh5EyXNmmN57U3sI67xdlGFD5NgFkIIN8jKL+KjH5NITMsjKFDNHddexDXJf2C48QkCTAXYrhuNedESlCi5N7mmPLW5iK+RYBZCeFRju9iWuFz8uj2drzamYHe46NkxiqmDWtD2xWcI+vJzlBA95sVvUjzpdpngVQue2lzEF0kwCyE8prFdbJNPFPDxTwc5nmUhNFjL1JFduPzEbgzX34L65Akcl/TH9Na7ddoRqqnz1OYivkiCWQjhMY3lYltY7OCLDSmsT8hAAYb0aMktfaNp8fKzBK1agaLVYp01l8IZT5Su5iVqrSH3kPZ18hsjhPAYf7/YKopCfOIpVv12BJPVTsuoEO649iJ6HNpK6LVjUWeexNGzN+bX3vLabVCNRVPeQ1qCWQjhMWdfbHHZS//EP7qzT+UW8smag+xPzUOrCeDmYbGM7Gwk/PlnCPo0rrSV/Mw/KXz4MdBqvV3cRqGp7iEtwSyE8KgzF1p/GWt2OF38uCWN7/5Mw1niokdsFLdd05k22zYQOnzG363k19+mpNvF3i6uaAQkmIUQHucvY82Jqbl8vOYQp3ILCQ8NZPJVnekXHYBh7gyCPlslreQmwtN3EkgwCyE8ztfHmk8XFPPpuiNsT8pCpYKr+rXhpiEXEP71akKfn0tAbi6OXn1KW8ldu3m7uKIBeeNOAglmIYTH+erEHrujhJ/ij/HDljTsThcdWxu5/eqLiC08Reht4wjcuAElRI/l/16i6J77Zca1l3miJeuN3h35rRJCeIUvTexRFIWdh3L4dO1hcgqKCdMHcsfIjgzqFIn+zdcIeXU+KpsN2zUjsbyyEFebtt4ucpPnqZasN3p3JJiFEE3aiRwrcb8e4kBqHuoAFSMHtuOGwR0w7NqO4aob0RxMoqR5Cywv/Qf76Btl9S4f4amWrDd6dySYhRBNUmGxk//9cZTfdqRT4lLoHhvJpBGdaKUqRj/nCYKXf4CiUlE09W6s/3gexRjm7SKLs3iyJevp3h0JZiGET6ps/LC+44oul8Ife0/yxYZkTIUOYsKDmDSiM70uCCd4xcfoX3qBgLw8XBdEUPTcvRSO+oc7P5ZwE1+dp+AOEsxCCJ9T0fghMdPrPa54IDWX1WuPcCzLQqC2dJGQa/q3JThhO6Ejn0K7ZxeKPgjlNjUB1+QRon2NkozYRnXRb0x8aZ6CO0kwCyF8TkXjhzC9zuOKGTlWPlt3hD3JpwEY3L0F44bGElVsInTmwwStWgFA8cRJuG5VEVIUV+tzCOEuEsxCCJ9T2fhhbccVC6x2vtmYwobdJ1AU6NIunFuu7ET7qCCC319KyH9eJsBswtG9J5aXF+AceCm6jDiUxC989h5r0fhJMAshGkR9xoIrGz+s6biizVHCmm3H+WFLGjZ7CS2jQpgw/EJ6dYwicN1vhD4/F01SIq7wcMzzFlF8xzRQq2t1DiEaigSzEMLt3HGPaWXjh1WNK7oUhT/3ZfLl7ynkmW0YQrRMvKIjQ3u3IvDQQUIn3Ufg2l9LZ1tPmYp1znMoUVGVnkOXEYc+caYEtPAoCWYhhNt5erUkRVHYn5rL5+uTOXbKglYTwPWD2jPq0vaEFOSif+pxglZ8hMrlwn75FVhe+Dcl3XtU+Z7eWIqxqfD02tP+RoJZiCauIS6SnrzHNDmjgC82JJN0LB+AQRc3Z9zQjkQFKoS8vZjg1xYRYLXg7HwR1uf+hf2qa2u0SIi/bLThb+QLT/UkmIVowhrqIumJcdqMbAtf/p5CwuEcAHp2jGLc0FjaxejRffkZ+n+/gDojHVd0NOZn/4/iKVNrtba1r2+04a/kC0/1JJiFaMLqcpGsaQu7oe4xzckv4utNR/lzXyYKcGGbMMYP60jnNmEE/voz+pf+hWb/XhSdjsJHZ1L46ON1WrVLJoE1DPnCUz0JZiGasKoukhUFsDe7IfNMxaxYc4j1uzIocSm0iQnl5mGx9OwYReCWzegfeAHt1i0oKhXFE27FOmsurnbt63XOxrqAhTfJF57qSTAL0YRVdpGsLIC90Q1ZYLXz45Y01idkYHe6aBYezNjLL2BAt+YE7tuD/q+Z1gC260ZjfeaflHTp2qBl8ge+PMFKvvBUTYJZiCauootkZQHsyW5Ik9XOj/FprNtZGsjR4cGMGtiOIT1bojuaTMi9swj631cA2C8fhnXOszgv6d9g5amPmoaku8JUJlj5NwlmIcR5KgtgT3RDmgrt/BR/jLU707E7XEQYdNwyuAM3XdkJ8449hDz2ILrPP0VVUoKjT1+sc5/HMfQKt5fDXWoaku4MU5lg5d8kmIUQ56kqgBuqG9JcaOenrcdYuyMDm6OECIOOicPbc3nPVgQdPYJ22lQi4uJQuVw4u3TFOusf2EeN9vn9kWsaku4MU5lg5d8kmIUQFfLUOGCe2cbPW4+xflcGdoeL8NBAxl/RkaG9WhJ05BAhD92N7usvQVEo6dYd6xOzsF9/AwQEVPqenhpfrcl5ahqS7gxTX51g5cvj3r6kzsF87NgxFi9eTLdu3cjMzCQ8PJyHH36Y/Px8Fi5cSNu2bUlNTWXmzJlER0e7s8xCCB9Q34tsVn4RP21JY9PekzhLFCIMOm4e1o4rerci6GAiIffPRfft16gUBUePXmj/73nyBg2vMpDPlMsT46s1PU+N1/d2c5j62gQrGfeuuToHc35+PqNGjeKqq64CYNSoUVxxxRWsXr2aQYMGMWrUKNauXcu8efOYP3++2woshPC++lxkM3Ks/PBnKvEHsnApCs0ighl1aXsGd29B0I5thNz1NLqfvgfA0bsPhU/Mxn7NSGKaGSHbXO3716dLuDZfNmpznpqGpK+FqTvJuHfN1TmYe/bsWe7vLpeL4OBgNmzYwAMPPABA3759mT17dv1KKITwOedeZIPTFgNVh/PRkyZ++DONHYeyAWgdo+f6Qe3p3zma4N9+IWTuVLRbtwDguKQ/hU88jX3ENbUeQ65rl3Btv2zIOG7tSH3VnFvGmH/55ReGDBlCx44dOX36NHq9HoDQ0FAKCgpwOp1oqlgKLyIiBI1GXatzxsQY6lVmcT6pU/dq1PVpHgInloOrNJy11iS0STPAGASxd5Yd5nIp7Eg6xVfrk9mbXLp0Zqe24Uy8qjMDLowkYGUcPDAfEhNLXzB6NDz9NNohQwirIJBrVKcx00vLkROPKnogxrPKU6Wju+GsLxtG++7S93L3eXyIR39HG0F91YQ76rTewbxlyxbi4+OZM2cOAFFRUVitVoxGIxaLhbCwsCpDGSAvr7BW54yJMZBdgy4tUXNSp+7V6OvTMA5dl2KC0xajtSaVPuayUZi+CathHA6niy0HMvl563FO5FgBuLhDBCMHtufiKDXBy99H+e+bkHkSRaPBdstkCh98lJKu3UrfK8dy3ilrVaeGcaX/QY26vwF0gb0wqHRlLTpzYC9s1b22DufxFV75HfXj+qqJ2tZpZSFer2Bev34927dvZ+7cuWRlZXHixAmGDRtGQkICLVu2ZOfOnQwbNqw+pxBC+KiyyUpl3b86CnT9+fnPVH7dkU6BxY46QMWgi5tz7YB2dLBmEbzsFYJWriDAYsalD6Xw/ocpmv4grtZtvPth8N2ZzKLpUSmKotTlhfv27WPKlCl0794dgMLCQm677TauvPJKFixYQKtWrTh+/DhPPPFEtbOya/utrdG3RrxA6tS9mlJ96jLiyDl5gB/TB7IuxYjNXkJQoJphvVtx9SVtaJ7wJ8HL3iHwl59RKQolLVpSfNe9FE29GyU8osbnaUp16glSn+7n9RZz9+7dSUhIqPC5F198sa5vK4TwE4qicCAtj9+2d2f3kRYoQHiomjGXdeCKTuFEfPsFwc+9g+ZgaVe3o98Aiu69H9voG0Gr9W7ha0nuvxWeJAuMCCFqxWYv4c/9mfy6I71s/Di2lZGrLmnDwEAzoSveJWjKxwTk56NotRTfPJGi+x7A2ecSL5e8bnzt/lv5ktD4STAL0UTV9gKfU1DE2p0ZbNx9AmuxE3WAiku7NeeqXs3oumsjQc++QODGDQC4omOwPjGL4ql342reoqE/SoPypftvfe1LgmgYEsxC+BFP7z7kcinsO3qadTsz2JNyGkUBY4iWMZd14KpIB82/WknQ7OUE5JTem2wfPITiO6Zhu34M6HR1Lp8v8aX7b33pS4JoOBLMQnhRbYLWk7sPFVjtbNpzgg27TpBTUAzABS2NjOgRw+XpCYQuWUjg+rUAuMLDKZz+EMV3TKOkU+c6lceX+dJsbV/6kiAajgSzEF5S26CtTWupusCv6AKvKAoHj+WzLiGDnYeyKXEpBGoDGN7Ryhj7j7TdmoH25d0E5OYC4BhwKUV3TMN2w1gIDq5vdfi06pbK9NS4ry99SRANR4JZCC+pbbdkTVtLNQn8sy/wp7UDWJ8+mE3f/MIJU+kloXWMnpEXBHHlltcxzPsc1bHSuypdEYbS1vHkKX8vBtLEeXrctzGvpy1KSTAL4SW17ZasqLVUUUutJoFf4nIRX3gNGw90Z0/yaUpcR9CoFEYYfmVc5re03BGG5o8DqJxOUAP9gaFQPGoC1h4vu70u/JmM+wp3k2AWwktqGrTnvubMccbtownM24wKZ7mWWlWBf/K0lU17T7J5byYFVjsAHaKDufV0HAPiV6Dd4YSi0mMdPXvjHHkRQbFfoTLYS98rckAD14r/kXFf4W4SzEJ40dndkjXtEj37uDPObqmdG/i5URPYviuDP/ZlciS9AIBQXQBTQnO44tAmoj/+vmxWNVGgXKnGesczFA1/GgBHxnAZ06xCYxv3lfukvU+CWQgfUdMu0bOPO+Pclpql+a3ssVzNlvhMdidvwlmioFJcjCxJZGTWUdpv/AlNRjoAruhoiqbdg+vycFQX5OEM71/uvGe30vWJM+WCXYHGMu4r90n7BglmIbygolZJTbtEyx2HGnvEZZQEdyCgYDupWVp+P9WDbUlZWIudBLhKGGrax5jDnxC7Pxl1rgsAl8FI8a23UTz2ZhxDr4BqdoCTC7b/qk0LWMbLfYMEsxAeVlnI1bRL9OzjHIZ+pOVpSNi2kd9z+5Nlj0JTksal2UmMPpVA54Tf0eaW7oNMCDAEbCOvwnRHHAQF1bjMcsH2T1V+oUr5CH36JnDZISAQp7GfjJf7CAlmITysqpCrSbexoigka8ewNXsg237P4lReEaFFV3HpsXiuPb6QC5PT0FhL398VHYP95svRdtqCqqsDRavD1nV8rUIZZIKTv6rsd02XEQdJMwhx2VAAFaColmPu+hrmrq/JGLOXSTAL4Qa16S6sLuQqa+VkZFvYlpTFtqQsTuZYaXf6OMPSdjAsPZ62KUmo/trA1dUiksLb7sI++kYc/QeCWl3vCT2NbYJTU1HZ75rGtB1cfwX2X8eeCW5r10Xy8/UyCWYh6qmiICVmeqXHVxdyZ1o5LkXFEWs7Nm4xE5+7hdzMXLof38fYYwkMSttJxOmTACgqFSU9Y3ENiMR+9XUUDXsSVKrzzlnTCVyVhbg/T3BqqjONK/tdcxr7QcByKNdibro9Ib72+yHBLMQ5avuP9NzuwuC0xWAMAsO4Sl9TWcg5S1wkWAaz55iWrXl9CMsw0SdtF4+mfUyXE4loSpwAuIxhFI8dh/2qa7GPuAYlKqpGn6u6CVy+MMnL3RdJX/hM3lTR75qt9WQwBlF4zhhzU6qXM3zx90OCWYiz1OUfaflZ0qC1JsHW6ei6FNfoH3hhsZNDO79hZ4qVtMNaLkreS5+0vdx+7BMMRWagtFXs7NmbwmHDsQ8fgWPApaDV1uqz1WQCl7cneTXERdLbn8lnxd6JtYovj02FL/5+SDALcZYKW79U3LI8t1UXnLa4NJQBXOX/gZ99fHGrSZzIsbInOYeM+L2EbttMt/QDTE3fR3NTdtk5Slq1puimsTiuuBL75VfUuFVcWWuzJhO4vD3JqyEukt7+TMK3+eLvhwSzEGepqPWrSZwBUC5kK2vVac6syBXw9z9wXUYcgfueYk9BZ46kWLEfTKBDciKj0vcTbTlddu4SfQDKJeAYfCmWW9+g5MJO540VV6W61mZNJnB5Y5LX2V8mGuIiefZnwmUv/RPvd1cK3+CLExslmIU4S0Wt33NbbpW16s5+XtdqCAfzhpD1wTcoG9YSceRiumYcZIB1x9/nCo/Ect0Y1D2DCYr4EnVrB4paR3HXqZS0rv2+xjVpbdZkAld9J3nVZ4/putyuU5PznXnc18YShW/wtYmNEsyi0avtZKJzW79nt9x0GXGorYdQ0Py1ecRfzykK+fsOcvpXC6r4AqKSXqJ3Zgpal7PsfQsNweT3D0d71Shs1z9OSafOZS3iytajPlP2mkzQ8YUuuQpnqFP9DHSo2+06tRmT9sWxRCEqIsEs/F5VwVvXyUSV7fxU9l4FAWSfGMDp5Lao56+g2aHZdLLm0+mv1zvVGrI6XISjayuMPSGoeyi0jiQgrD+FVewaVWnZ+XsRiMo+gy90yZ0bfrqTcQTmx1da//X9MlGbsPWFLy5C1IQEs/Br1QVvfVpJttaTsbWaRED6cbTff0vJmvfJ2WMg6LgWg8lCDFuJYSsAOcYY9vUdjuOS/hiHX05sz5NEHfuEwLx1ZS1rc9hrtQrLcmX/67HqPoO3u+TODT+gyvqv75eJ2oStO764+Nr9rqJxkmAWPsedi+5XdeE+7zxFRWgOH0SdlEjA/v04d+wkOHEvOnNBuXOe1keys2NvzB1jUfUfRvjwy2jevRPNA1Rl76vaOwOdq+JtGWvq3Ilo/rAIxLnhB/zdYkaN2noIXUac2xYuqW3Y1udcvni/qyfJlxLPHyV/BgAADwJJREFUkWAWPqWqi1+1OzJVcOGv8MJtsxG8+TX0G19BddyJkv4+waeeRZORjUpRypXnRFgLUjpfTEbrTjh69CKsm5ZOrVOIbX0RjjaVj2Xiqnpbxpo4dzaxvywCUWG3/Mk4AvM2o8v7ncD8+LLjGup8DaGmt9I1Rk39S4mnSTALn1LZxQ8qnlFbFtrnXvgVBYd2BOrkI6hSHJCsR5fyHSFHFqFOSUZVUlL2vipcFAUVkda6G8ei2pEe3Y6iTl0IvKQPbTu14sJWYXQOC0J11q1Ljio+Q/nlDku3ZbS1rFt4eLtr2h1srSeX/lzzfgfqMfHqr92QvPXlpCa30jVWMnHOsySYhcfVeBEM/r742cMHnhfYmtw/UOU7cZnawGEVqgNOOAmqUzYMpx5FVXR+fFqDQklr3pljUW1Ji27Hsah2WFroiW7l4sKYYjpHmRnQNhba13xW8Lmf5ezlDv2hhesJ9Z14VW43JC+12GpyK11j1dAT56SbvDwJZlEn5/5DqsltPbqMuLKWrQonCh+gOxlXrjVZ7uJnSYICUGXbCCjKQklVo8ouQckGbU4SmpwkVBU0XR1aDVmRzTnephXHItpyIqIVJ8JbkRHRCm24iguDk7hQf4RLQnYxLmoH0c69f5UHVEWgHNZh1lTdhX7m8Uq79ypZ7rAxX4Cq+mz1nXhVbjckL4ZhVbfSNWYNOeNfusnP1yiDOSu/CK06gLDQQAJqsXKSqN554apajiZ/M8EnP63ytp6z//EBYAdVXgm6xN8JzN9MoPYXVFn5qE+kQF4AAdkFKFmUBa+WpLIyqABbaCAFzY1kGZuRFtqeVEN7TkSUhm9uaCQBAdA26Bjtg9NoH5zGwBgTFymvEqnJKvd5HLouqJzOsveF8/etrXSVr1p27zXmC1BNPlt9uuXLDQ/UIgwb4ouQL9yW5g0NNawi3eTna3TBfCq3kGeWbgFAqwkgJjyYZuHBpX9G/P1ndFgQGnWAl0vredVdqGp6T/AZKsWGtmArKpcNbKAyASZQmWzodq0gIPAUATnZBKb8hCrTBrlAPmD5+31VOAnii7K/KypwRIZjbX8B+YZQMsPbkWa4gGRtBCf0MWQZYygODC47vllgFq1jjLRtdxGXxuiJdf1O+8JP0BdsKrtVyR4+EF1e+VBWVDocYQPQFB6tdOZzVReN2nbvNeYLUEN/troMDzTkF6HGMPbvK+T+8vM1WDBv3ryZNWvWEBUVhUql4uGHH26oU5UTFRbEzcNiSTtlITuviKz8Ik7kWM87TqWCSEMQ0WFBRBh1RBqCiPzrzwiDjkijjtBgbbkJP/6gPott6DLiMBx4FFWhHaXwfYLUS3E5olFZXWAqRJN9BFW+DayU/mcBxaxCbT2Okgcq+zllYSM6NpZ7TAmBknA1Re3DsOgDyTOEkxXSjAzDhRzTRpEcFEt2cDNcAepyrwtSO2kRptCieWsu0abQWpNAS30+rQw2AqN6Y/v/9u43NIo7DeD4d3ZnZv/nTzeJNXreWa9WG6WaF3ekV06hte0dXkHBw/iih0US0LTYg0K5F21f3GG1oK3QF4og6B30OCSlRSSl5QLFlIpNbUGSYikSbVKNG2My+393fvdiY0xskt31NptZfT4wTjY7M/vss+M8+f3Z3SV//PlzxE2y9vckF+ee49S37UydkJWpeXLWbvi5LhrFtpzu5wtQWZ5bkd+GdD//IXQ/eVB7IOaiKXXX+0NKIB6P88ILL3D69GlM0+Tll19mx44dtLS0zLj98PB4Ucevrw8VvI9Simgiw/Wbca6PxiaL9e31LSvFbAkwdFeuSIc81IQ8VPlNqgImIb9BdcAk5Dcnfmdg6O6846751lNbaXm3DTSTDG/Be/lf6JGvIJHAPT6AEbmAlsiiki4yrpXY2Vq0pMLONuAevYwx/C0kgATY6QAq7UeLZ3AlMqjxGFo0C3bhr4Uy3ahaH3a1h3RVkHjITzRQzZgvyJhmEfHWcs3bwE+eh7li/IIhrRFbzdxTEXKP0eAZpt6MEG5som5ZM7+we/j1T3/jIf0auDyMr577QzoCfX/Ff/XY5O3Y0l1EVx8E7r1b8172m+0cLfcYczkf7/99rHz7F/P//vbxQlPGgvOdOw+aYvMp8is2p/X1oRl/Py8t5gsXLtDY2IhpmgA0NzfT3d09a2EuKaXw/fcA+tWvwM6AplNlp1mMDtk0aDqanVtjpMnW6FgJF1bay3jSzXjKh5VwY6U8RFNurJRJPK2jKUUaRQS4qWxQoKHQlEIDPFqKAOMEsfByCo/rP/jsMbx2ApMUHpXEVClMO4VBGkOlcdtZ3NksLtvGbdtgH4OshpZWqHRufFWlJtbp6WuyALtnTYOGPW1cdiYuoihXFLygvGCHXGQXGWT8bjI+g6TPJOH1EvX6sTwhxrwhbhnVRPxLuBFcww13iFvpKOPZKqLZwJyPpWtpavRRHg2NUvvwah6q8hKu9vJw+gt+ee3vNBiDeN3pKS3ZPwEQ6PsCv3Ft4rXN3+rJ18Jd6LcslbMLtNxj2k778A5piYlKNS+FORKJEAjcuVAHg0Eikcgce5SOr+cQwe3/KGofP9AwP+HcAzXxr0Za18lMLGldJ+PRyQZ0MrqbjK6TNdxkp/yc0XXSbp2U4SFhekiYPhKGh4ThIe7xETdyi2VWM+byM6ZXYWlBUniLDzMBpjtLyJWi3hzmUf0Soeo6AkuepDpgEk6dZ/H1wzykX6fGGCXktqa0eJsmDxPo68F/64fJ29nAyoI/uWsmcjG+o5K6cucrVhkLFpVoXgpzOBwmGr0zrmtZFuE5vuS9ttaPrrtnvX8ms3UB0DAEO4FxcjN5pi7M8vNM97nuYXs3KBekNZ2E5iWOj/jtNX5iyk8MP9GJJYGXpOYhgXdy+6Tmw3L5ieEjqbykbJOscqPQUNzbZDUXWdxabnFhY+gaHiwCrhhh1wgeVwqvK4HHlcTjTuNZ3IJXV/jSVwkYCYIem6CeIORVBBtWE1y5jaDfwBj4J5zbk3sbi8sDvzkCj6yfeNQm+AG48SXYaXAZUPdbqh75y/Tgxp+CwZOTx/AvfQr/1Ne2vh2qvHDjS7SZ9p9JfTvQfk+5KqVZz9FyyZdbJykw1gXP6X1G8ll6pcjpvBTmdevWMTg4SCqVwjRNent72bFj9r9ab96MFXX8ufrxPf71hDZ5ps+yLdvaTca/AiP2AyYWIeKkan9H1verOcaLs2DfLGiMWWkmdjaNFh9Av/kltrKxMUhUt5DxLENzG6iqdWSW/BnfT//GHP8Kl0qiJy5PeXtTrtWae5xvJ4/vNyGWYqKV+Yc5859JphlNpiG0Fc+qxJ3WaWgrTH1dQltzy1R3v275jnH3cSpkTMwR43eF5NYpCojVETm9j0g+S69UY8zzMvkL4OzZs3R1dVFbW4thGHPOyi715K9iJ12Van33pK/57Eot9jFKPbFGzE3yWXqS09KSfJae4wtzMeZzVrYojOS0tCSfpSc5LS3JZ+mVqjA/eJ+wIYQQQjiYFGYhhBDCQaQwCyGEEA4ihVkIIYRwECnMQgghhINIYRZCCCEcRAqzEEII4SBSmIUQQggHkcIshBBCOIgUZiGEEMJBHPGRnEIIIYTIkRazEEII4SBSmIUQQggHkcIshBBCOIgUZiGEEMJBpDALIYQQDiKFWQghhHAQfaEDmEtPTw+ffPIJ4XAYTdPo6OiYdn8ymWT//v0sWrSIy5cv09bWxvLlyxcoWufLl8+jR49y48YN6urquHjxIq+88gorVqxYoGgrQ76c3vbRRx/x2muv0dvbSyAQKHOUlSNfPpVSnDx5EoAff/yRsbEx9u3btxChVox8Ob1y5QoHDhxg7dq19PX1sXnzZp5++ukFitb5hoeHeffdd+nv7+fUqVM/u78kdUk5VCwWU88884xKJpNKKaU6OjpUT0/PtG2OHDmijh49qpRSqr+/X7W2tpY9zkpRSD4PHTqkbNtWSil1+vRp1d7eXvY4K0khOVVKqe+//14dPHhQrVy5UlmWVe4wK0Yh+ezs7FSdnZ2Tt/v6+soaY6UpJKdvvPGGOn78uFJKqYsXL6pNmzaVO8yKcubMGfXZZ5+pLVu2zHh/KeqSY7uyL1y4QGNjI6ZpAtDc3Ex3d/e0bbq7u1m/fj0Ajz32GP39/ViWVe5QK0Ih+dy7dy+apgFg2zZ+v7/cYVaUQnIaj8c5duwYe/bsWYAIK0sh+fz4448ZHR3lxIkTHDx4UHof8igkp3V1dYyMjAAwMjJCU1NTucOsKM8///yc510p6pJjC3MkEpn25IPBIJFIpOhtRE4xuUqlUnR2drJ3795yhVeRCsnpoUOH2L179+SFUcyukHwODg5iWRYvvvgiW7ZsYdeuXWSz2XKHWjEKyenOnTv55ptv2LdvH++//z5bt24td5j3lVLUJceOMYfDYaLR6ORty7IIh8NFbyNyCs1VKpXirbfe4tVXX2XZsmXlDLHi5Mvp0NAQY2NjnDlzZvJ3x48fZ8OGDaxdu7assVaCQs7RYDDIE088AcDy5cuxLIuhoSGWLl1a1lgrRSE5ff3119m2bRubN29mZGSEZ599lk8//ZSamppyh3tfKEVdcmyLed26dQwODpJKpQDo7e1l48aNjI6OTnYLbNy4ka+//hqA7777jlWrVhEMBhcsZicrJJ+JRII333yTnTt3smbNGrq6uhYyZMfLl9PFixfz9ttv09bWRltbG5BrnUhRnlkh52hLSwtXrlwBche8bDZLfX39gsXsdIXkdGhoaDKHVVVVuFwubNtesJgrUanrkqO/xOLs2bN0dXVRW1uLYRh0dHRw4MABampqaGtrI5FIsH//furr6xkYGKC9vV1mZc8hXz47Ojq4dOkSDQ0NAMRisRlnHYo78uUUcuN2H3zwAe+99x67d+9m+/btLFq0aIEjd6Z8+RwfH+edd96hsbGRgYEBnnvuOTZs2LDQYTtavpyeP3+eEydO8Pjjj3P16lWamppobW1d6LAd69y5c3z44Yd8/vnntLa28tJLL3H48OGS1iVHF2YhhBDiQePYrmwhhBDiQSSFWQghhHAQKcxCCCGEg0hhFkIIIRxECrMQQgjhIFKYhRBCCAeRwiyEEEI4iBRmIYQQwkH+B2zrGD25hXcsAAAAAElFTkSuQmCC\n", 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b67hEdUeCWQghRJ1zWnqj6EwAKDoTTkvvOi5R3ZGubCGEEHWuIS4kUhEJZiGEEJrQ0BYSqYh0ZQshhBAaIsEshBBCaIgEsxBCCKEhEsxCCCGEhkgwCyGEEBoiwSyEEEJoiASzEEIIoSESzEIIIYSGSDALIYQQGiLBLIQQQmiILMkphBCiQdH6vs8SzEIIIRoMf9j3WbqyhRBCNBj+sO+zBLMQQogGwx/2fZaubCGEEA2GP+z7LMEshBCiQdH6vs9VBnNGRgazZs0iKSmJJUuWAPDqq68SHBxMSEgISUlJPPfcc8TExAAwb948rFYreXl59O/fn0GDBtXuHQghhBD1SJXPmLds2cKgQYNQFKX0teDgYCZPnsyECRPo1KkTH3zwAQA7duwgISGBxx9/nGeffZY33niDvLy82iu9EEIIUc9UGcw33HADZrO5zGuTJ08u/XdFUQgJCQFgzZo19OjRA4CAgADi4uLYtGmTmuUVQggh6rUaPWPOy8tj/fr1vPPOOwBkZWURFxdX+n5oaChZWVlVnicyMgSj0eDRtWNiwjwrrKiS1Km6pD7VJ3WqLqlP9alRp14Hc35+Pi+99BKvvvoqERERAERFRWGz2UqPsVqtREVFVXmu7OwCj64dExNGRka+ZwUWlZI6VZfUp/qkTtUl9ak+T+u0ohD3ah5zVlYWL730Ek8//TQtW7bk559/BmDgwIFs374dAKfTSXJyMn369PHmEkIIIUSDVGWLeePGjSxfvpyMjAzmzJnDuHHjGD9+PE6nkyeffBIAs9nM9ddfT/fu3enbty8zZ84kNzeXZ555BovFUus3IYQQQmh9Dezq0ilnD7euI552p0gXjPqkTtUl9ak+qVN11bf6LLsGton8Tm/7PJzrtCtbCCGE0BJ/WAO7uiSYhRBC+D1/WAO7umRJTiGEEH7PH9bAri4JZiGEEPWC1tfAri7pyhZCCCE0RFrMQggh6kR9md6kNglmIYQQPld2etMCAAnnv0lXthBCCJ+rT9Ob1CbBLIQQwufq0/QmtUlXthBCCJ+rT9Ob1CbBLIQQok7Ul+lNapOubCGEEEJDJJiFEEIIDZGubCGEELVGC3OVtVAGT0gwCyGEqBVamKushTJ4SrqyhRBC1AotzFXWQhk8JcEshBCiVmhhrrIWyuAp6coWQghRK7QwV1kLZfCUBLMQQohao4W5yloogyekK1sIIYTQEAlmIYQQQkMkmIUQQggNkWAWQgghKpGVV8Ty9YexO1w+uZ4M/hJCCFElf1s9Sy3FDhezv93J0VNWerSNpnXTsFq/pgSzEEKISvnj6llqWfTrfo6esnJl9+Y+CWWQrmwhhBBV8MfVs9Swfudx1u44Tqsmodx1bTufXVeCWQghRKX8cfWsmko9ZeWLX/YRbDIyaWgXAowGn127yq7sjIwMZs2aRVJSEkuWLAEgJyeHGTNm0LJlS1JSUpgyZQrR0dEAzJs3D6vVSl5eHv3792fQoEG1ewdCCCFqlT+unlUThXYnc5buotjp5pFbLqJxZIhPr19lMG/ZsoVBgwaRmJhY+trMmTPp168fgwcPZvXq1bzxxhtMmzaNHTt2kJCQwEcffYTD4WDIkCH06dMHi8VSqzchhBCidvnb6lneUhSFT1YmcjK7kBv6tqJn+xifl6HKruwbbrgBs9lc5rX4+Hh69uwJQK9evYiPjwdgzZo19OjRA4CAgADi4uLYtGmT2mUWQgjhI6b0RZgTp2BKX1TXRfGJHxOOsmV/Bh1aRjD8yrg6KYNXo7IzMzNLwzo0NJTc3FycTidZWVnExf1zI6GhoWRlZVV5vsjIEIwe9t/HxPhmdFxDInWqLqlP9UmdqqvK+jz0GSQ9Bm476BeAJQji7vVN4erAtn2n+C4+mUbhQTw/vi+RYUEen0ON31GvgrlRo0bYbDYsFgtWq5Xw8HCMRiNRUVHYbLbS46xWK1FRUVWeLzu7wKPrx8SEkZGR73G5RcWkTtUl9ak+qVN1Vac+zWnrCXGXjMbGbacgbT22sOE+KJ3vnc4p5M0Fm9HrdTx460U4ixxkFDk8Ooenv6MVhbhXo7IHDBjAtm3bANi6dSsDBgwAYODAgWzfvh0Ap9NJcnIyffr08eYSQggh6lhDGY1d7HDx3tLdWAsdjL62PRc2D6/T8lTZYt64cSPLly8nIyODOXPmMG7cOKZMmcL06dNJSUkhNTWVqVOnAtC9e3f69u3LzJkzyc3N5ZlnnpGBX0II4acawmhsRVFY8PM+jpzM54puzRjQvXldFwmdoihKXRfC0+4p6dJSn9SpuqQ+1Sd1qi6pzxJrtqax4Jf9tGkaxrN396rRfGW1urJlSU4hhBB+qabrdx9Mz2XRrwcIDQ7goWFdfbqISGUkmIUQQpxH65tW1HT97lyrnTlLd+FWFCbeehGNwj0fgV1bJJiFEEKU4Q+bVpS3fnd1y+h0uXl/2W5yrMWMGtiWTm2qnj3kS7JWthBCiDL8YdOKmowY/2r1Qfan5dK7Y2Ouv6RlbRXRaxLMQgghyvCHaVL2FqPJ7/Q2BbH3k9/p7Wq3ltfuOMZvW9JoEW1m3OCO6HS6Kj9j3LIJy/h70J0+XdNiV4t0ZQshRANW3rNkf5km5en63ftTc1jw8z7MQUYeua0bQYFVR6D+8CHC7x6FLicH/XP/wfX3hk21SYJZCCEaqMqeJde3TSsyc4t4b+kuFAUmDetK44jg844590uKLieb8LtGos/MJH/GbFwX+mZPZglmIYRooGoygMqf2ItdvLNkJ/kFDu6+rj2dWkeed8x5X1IcToKmfI3x4AEKHnqMojFjfVZeecYshBANlD88S64pRVH4eOVejp6yclWP5gzs2aLc48p8SXHbCXlhNoHr12Ifcgu2/7zkyyJLi1kIIRoqf3mWXBM/bEhh874M2reMYPS17Ssc7FXyJWVBSYv5BwPGH/fj6NGTvPfmgt63bVgJZiGEaMDq27Pks23Zl8GydYdpZAli0rAuGA0VB+yZOjAt/xrTV6txtYglb8FXEBLiq+KWkq5sIYQQ9U7qKSvzVuzFFGDg0du6YQkJrPIzruNtCXx9A+7QMHK/+Bp3k6Y+KOn5pMUshBDCY1pesjOvoJjZ3+7E7nDx0LAutGwcWuVnDIcOEj7mdiguJv/TL3Bd1MUHJS2fBLMQQgiPaHnJTofTzZylu8nMK2Lo5RdwcYfGVX5Gl5FB+B0jSqZFTX+b4kHX+aCkFZOubCGEEB7R6pKdiqLw2U9J7E/NoXfHxtzUv03VH7LZCL97JIaUw9imPEXRPffVejmrIsEshBDCI1qdZrViQwobdp8grrmF+4d0Ql/VcptOJ5YJ9xGwbStFt4+mYOq/fVPQKkhXthBCCI9ocZrVX3tPsPTvEdiPjOhGYEAVeysrCqFTn8D0y08UX3U1+TPfgWqsm+0LEsxCCCE8pqVpVgfTcvlkZRLBJgOPj+xGuLnqEdghs6YTvOBTHF26kffJAggI8EFJq0eCWQghhF85e0R4qnkYs5fsxO1WmDS0Gy1iqh6BbVq8EPNr/w9XbEvyvvwWJTTMB6WuPglmIYQQfuPsEeH5ru+YfSgaa6GRe27owEUXRFX5+YA1vxE25RHcERHkLv6uzuYqV0aCWQghhN84MyLcqRh4PflxjuUbuf6SllzVo/w1sMt8dtcOLOPGgMFA7udf4WrfwQcl9pyMyhZCCOE3nJbeuDEx58iD7MzvRu+WRYy8qm2Vn9MfPkT4HSPQFdjIm/MRzkv7+aC03pEWsxBCCL9hbzGaH3abWZUZxgVRDsaPvB69vvLR1PqTJ4gYORR9xinyX5tG8c1DfVRa70gwCyGEH9DyEpi+9NfeEyzeFkZkmImH7+yPKbDyaVG6nGzCRw3DcDQF21PPUjR+go9K6j0JZiGE0DgtL4Gphup+6UhMyeLjFYkEm4xMHtmdyDBT5ScuKCD8rlEYE/dQOP4BCp58RuWS1w4JZiGE0LjylsCsL8Fc3S8dR0/m8+7SXeh08MjwrsRWtTGFw4Fl/BgCNiVQNPw2rK+8qZkFRKoig7+EEELjtLoEphqqs+726dxC3vpmB4V2F/ff1JmOrSMrP6nbTdgjD2L6bRXFV19D/uwPQO8/cVejFvO8efNIT08nMjKSI0eO8Morr1BUVMSMGTNo2bIlKSkpTJkyhejoaLXKK4QQDY4Wl8BUS8mXjgV/t5jP/9JhLXTw1tc7yLUWc8fVbbmkU5PKT6gohD7/NEHffYOj9yXkfrwAAqteCUxLvA7mjIwM5s6dy19//YVer2fixIn88ssvbN68mX79+jF48GBWr17NG2+8wbRp09QssxBCNDhaWgJTTZV96Sh2uJi9ZCfHMwu4rk9LrrukVZXnC5nxBsEfz8XZqTO5C78Gs7nWyl5bvG7bBwcHExAQgNVqBaCgoIB27doRHx9Pz549AejVqxfx8fHqlFQIIUS9ZG8xGlunmWVC2e1WmPvDXg6m5XJJp8aMurrqucpBH8/F/OaruFq1JverpSiRVa8EpkVet5hDQ0N56qmnmDx5MjExMTRt2pRWrVqRmZmJ+e9vKKGhoeTm5uJ0OjEaK75UZGQIRmMVO4GcIyZGW2ub1gdSp+qS+lSf1Km6tFqfiqLwwXc72bo/g64XRvPM2EsIMBrg0GdwOgGi+0LcvWU/9Nln8OyT0Lgxht9+pVHbqoO8NqhRp14Hc2JiIh9//DFLly7FaDTy+uuv895779GoUSNsNhsWiwWr1Up4eHiloQyQnV3g0bVjYsLIyMj3tuiiHFKn6pL6VJ/Uqbq0XJ8r/0zh/zakEBtjZsLNncjJLig7ejv5E/Lzikpb2KZlSwh7cDxKRAQ5Xy3DFd4E6uDePK3TikLc667skydPEhERURq6MTExFBcXM2DAALZt2wbA1q1bGTBggLeXEEII0cCs23GMJfGHiLKYmDyqByFBJdsxVjR6O/DHlYRNGg/BBgrenYjroi51Vna1eN1ivuKKK4iPj+f1118nLCyMAwcO8NxzzxEYGMj06dNJSUkhNTWVqVOnqlleIYQQ9dSWfaeY/1MS5iAjk0f1KLOASHmjtwNW/4rl/jFgcKN7wo1ZPxN3emu/HyTndTAbDAZeeOGFct97+eWXvS6QEEKIhmdPShYffr+HwAADk0f1oEV02dHU547edh9pRfh9I0CnoHsC6FB/Fl/xnxnXQggh6qXkY7m8u2QXULKqV1xzS7nHnRm97TreFstdo8DppHD6gyhd6tfiK7IkpxBCiDqTnmFl1tc7KHa6mDS0K53bVD7Fybhze8n2jUWF5M2dT/HNt+JM71qvFl+RYBZCCFEnMnIKmfHVdmxFTu4b3JGLO8RUerwhKZHwUUPR5eeR/95cim++Fah/i69IMAshhPC5XKudGYu3k/P3UptXdGte6fGGA/uJGHEz+qws8t96F/ttt/uopL4nwSyEEKKUL/Z9thU5mPHVDk7lFHLTZW2qXGrTcGA/EUMHo884Rf5r0yi6655aKZdWSDALIUQ95E3AerPvs6fXsRe7ePubnaRlWBnYqwXDrrig0uMN+/cRMWzIP6E8fkK17sWfSTALIUQ9403Aguf7Pnt6nTObUhxMz6Vv5ybcdW17dJXskdwQQxlkupQQQmiSKX0R5sQpmNIXefzZ6uxxXB5P93325DoOp5v3lu4m8Ug2PdtFM35IJ/SVhfK+pLNCeXqDCWWQFrMQQmiOty3eM6ra47ginu77XN3rOF1uPli+m12HMuka14gHb+2C0VBxu9CwL4mI4TedFcoPVKv89YUEsxBCaIynXcrn8jRgz/1sdY+vznVcbjdzf9jLtgOn6dQ6koeGdSHAWEUoDxuC/nRGgwxlkGAWQgjN8bbFezZfze2t7Dput8InKxPZnHSK9rHhPDqiG4EBFW/xWyaUX59B0bh/1VaxNU2CWQghNKYmLV6tcCsKn/2UxJ97TnJhcwuPjeyOKbCSUN67h4jbbmnwoQwSzEIIUeu8mbrkz6tZKYrCwlX7WbfzOK2bhjF5VHeCTRXHjXH7VsJvH4Y+O5v8N2ZSdN/9Piyt9kgwCyFELarpQC5/oygKX60+yJqt6cTGhPLE7f/sqVwe419/Ej76NnQFNvJmv4/9jrt8WFptkmNVBNUAACAASURBVOlSQghRi7yduuSPFEXh29+T+WVTKs2jzTx5Rw9CgysO5YD4NUTcMQxdUSH5H3wsofw3CWYhhKhFZeYGY8Bg2+/V3GStUxSFr9cc5MeEozSNCuHJO3pgMQdWeHzgzz8SfnfJ1o15ny7EPnRE6Xs1mcNdH0hXthBC1KIz3dam44sIzN6AKXstgTkJZd7zd4qi8OVvB/h1cxrNGoXw9J09CQ81VXi8afl3hE28HwIDyf3sSxwDBv7zXgPr+i+PtJiFEKKW2VuMxmVujw4nUL+6tBVFYdGqklBuEW3m6dG9Kg/lxQsJmzAOJSiYnMVLy4QyaKvrv65a7hLMQgjhA54ud+kP3IrCF7/s57etacTGmHlqdE/CK+m+DvrkIyyPTkQJDyf3ux9wXtrvvGO0Uk9nWu4hafMIS3zMp+EsXdlCCOED9WFu8tncisLnP+1j7Y5jtGwcypN39CAspIJQVhSCZ88k9JWXcEfHkPPt97g6X1TuoVqpp5quvlaja/vkKkIIIVSdm+yLfZMr4lYU5v+YxPqdx2ndJIwnKht97XZj/u+zhMx9H1eLWHK/WY6rbbtKz6+FOdxqrL7mLQlmIYTwUF2G4pnr19UAKbdb4dP/S+SP3Sdo07QklM0VzVMuLibs0YkEffcNzg4dyf1qKe7mLXxSzpqqy5a7BLMQQnjA16FY3peAuupmdbrcfLwykYS9J7mgmYUnbu9e8eIhNhvh48cQuPpXHL0vIXfh1yiRUbVexrPV9AtUXbXcJZiFEMIDvgzFir4E1EU3q8Pp4v1le9h+8DRtW4Tz+MjuhASVHyG6rEzC7xpJwJbN2AddS968z8FsrvUyns2fp11JMAshhAd8GYoVfQnwdTdrUbGTd5bsIvFINhe1ieTh4d0q3JBCn55G+O3DMO7fR9Ftt5P/9hwIqHj1r9pSl4O3akqCWQghPODLUKzsS4CvulmthQ5mfbODQ8fy6NU+hgm3XFThfsqG/fsIv30YhvQ0CiY8hO2lV0BfN7Ny63LwVk3VKJgPHTrEypUrMZlMbNq0iUceeYRWrVoxY8YMWrZsSUpKClOmTCE6Olqt8gohRJ3z5V7HUHdTh3JtxcxYvJ20DCv9LmrKuCEdMVQQtMYtmwi/ayT6rCys/36JwkceB53Op+U9W13XXU3oFEVRvPmgy+Vi4sSJfPDBB+j1ek6dOoXRaGTWrFlceumlDB48mNWrV/Pjjz8ybdq0Ss+VkZHv0bVjYsI8/oyonNSpuqQ+1Sd1qq6q6jMzt4jpi7dxMruQgb1acNe17dFXELSB/7cCy8TxYLdjnTGborvuqa1ia5qnv6MxMWHlvu51H8OuXbtQFIUFCxbw4YcfsmbNGiIjI4mPj6dnz54A9OrVi/j4eG8vIYQQog6cyCrgtYVbOJldyOBLW3N3JaEc/NH7WO67C3R68hYsbrChrCavu7KPHTvG9u3bmTlzJmFhYTz55JMEBASQmZmJ+e/Rd6GhoeTm5uJ0OjEa5XG2EEJo3dGT+cz8ajt5BQ5GDIhjSL825R/odmN+4XlCPnwPV+Mm5C38Gmf3nj4ta33ldVqazWbi4uIICytpil988cVs3LiRRo0aYbPZsFgsWK1WwsPDqwzlyMgQjMbyR/hVpKIuAOE9qVN1SX2qT+pUXefW567k00z7chu2IicPDu/GkP4XlP/BwkK4+2747jvo1AnDjz8S2bq1D0qsfWr8jnodzN27dycnJweXy4XBYODYsWO0adOGwMBAtm3bRrNmzdi6dSsDBgyo8lzZ2QUeXVueNalP6lRdUp/qkzpV17n1uTnpFHN/2IuiKDxwc2cuaR9dbn3rTp8m/J47CNi8keL+V5D36RcoIZHgwX+bul45rbao9YzZ62COiIjgySef5NVXXyUyMpKsrCweeughioqKmD59OikpKaSmpjJ16lRvLyGEEH7B34Nm9dY0Fv6yn8BAAw8P68ZFF5S/Qpf+UDLhd47AePgQRSNGkT/rPTBVvMVjefx54Q9fqdGD32uvvZZrr722zGtBQUG8/PLLNSqUEEL4C38OGkVRWLruECs2HMESEsDjo7rTpqml3GONGxMIv/cO9JmZ2CY/ScEz//FqOpQ/L/zhK7IfsxBC1EB5QeMPXC43n/6YxIoNR2gcEcxzYy6uMJRNX39JxPAh6HJyyJ/5DgXP/tfrOcpa2W/ZE6b0RZgTp/hsT2YZKi2EEDXgjytM2R0uXpm/kU17T9K6aRiTR3bHYi5nL2W3G/Or/yNk9kzclnDy5n2G46qra3ZtP1v4oy56RCSYhRCiBvwtaKyFDt7+dgfJ6XlcdEEUk4Z2IdhUThRYrVgm/QvTTytxxl1I3hdfV7mPcnVpYb/l6qqLrncJZiGEqCF/CZpTOYXM+noHJ7IKuKpXLKMHtcVoOP+Jpj4tlfAxd2Dcs4viKwaQN+8zn2/ZqBV10SMiwSyEEA3AwbRcZi/ZibXQwQ19WzHxth5kZlrPO864KYHwe0ejP51B4b3jsb76Zp3sDqUVddEjIsEshBD13MbEk8xbkYjbrXDP9R24qmcL9PrzB2+ZvllM2OSHwekk/7VpFI17wONBXv4+daw8vu4RkWAWQoh6SlEUVv55hO/WHiIo0MCkEV3pEtfo/ANdLsyv/b9/Bnl9NB/HwEEeX8+fp45piQSzEELUQ06Xm89/2sf6XceJsph4/LbuxDYOPe84XXYWlgfHE7jmN5wXxJUM8mrX3qtryhxldUgwCyFEPWMrcjBn6W4Sj2TTumkYj93WjYjQ81foMuzeRfjYuzAcTcF+zXXkz/kIJSLS6+v649QxLZJgFkKIeuRUTiFvf7OD45kF9GwXzQM3X4QpsJxNgr78ksjx49EVFmKb8jQFTz8H+pqtOeVvU8e0SoJZCCGqUNGAJq0NdNqfmsN7S3eRX+Dguj4tGTWw7fmDvJxOzP/7L3zwLkpoGHnzF1E8+CbVyuAvU8e0TIJZCCH+Vl7QVjSgSWsDnX7fns7CX/ajKDDmuvYM7BV73jG606exTLiPwHXx0KEDOZ8s9Pp5sqg9EsxCCEHFAVzRgCatDHRyutx8+dsB1mxNJzQ4gIlDu9Cp9fnPiY07tmG5724MaanYb7wJ0+KFuOzerXftLa31MGiVbGIhhBBUvBlFRZsuaGEzhvyCYmZ+tZ01W9NpEWPmP/f2Pj+UFYWgzz4h4qbr0KenYXv2P+R9+gVYyt+worac+eITkjaPsMTHfLYhhD+SFrMQot6rTkutohHFFQ1oquuBTmmnrMxespPTuUX0ah/D/Td1IijwnD/pVithTz5G0Hff4I6MJH/+QooHXefTcp6hlR4GfyDBLISo16r7LLiyoK1oQFNdDXTasi+DeSv2Yne4uKV/G265/AL056zQZUjci+X+ezAe2I+j9yXkfTQfd4vznzv7ikylqj4JZiFEveZJS03rI4rdisKKP1JYtv4wgQF6Jg3tQu+Ojc87zrR4IWFTp6ArLKRg4iPY/v1ina93Xdc9DP5EglkIUa9V1lJTezBSbQ5uKihyMG9FItsPnqaRJYhHRnSlVZOwcw4qIPS5pwhetKBkac33P1Z1KlRNaf2Lj1ZIMAsh6rWKWmpqT3eqzelTR0/m897SXWTkFNGpdSQTbr0IS0hgmWMMBw9gGT8GY+JeHN17lnRdt7lAlesL35JgFkLUe+W11NQejOTJ+TxpWf+x6zif/7wPh9PNkH6tGXZFXNlFQxQF01eLCHvmSXQFNgrH/QvrS6+C6fwlOIV/kGAWQjRIag9Gqu75qtuydjhL5if/vi2dYJORB2+9iJ7tYsoco8vLJfSpxwlaugR3mIX8uZ9iHzqiRvfhLZmjrB4JZiFEg6T2YKTqnq86LevM3CLmLNvF4eP5xMaE8tDwLjSJDCl7no0JWCbdj+HokZJR1x98jLtV6xrdg7e0tgqav5NgFkI0WGoPRqrO+apqWe85nMWH3+/BWujgsi5NGXN9B0wBZ21C4XIR8tY0Qma8AYqC7YmpFDwxFYx19+dc5iirS4JZCCF8qKKWtdut8P0fh/nhjxT0eh1jru/AVT2aoztrfrI+LZWwSf8i8K8NuFrEkv/+PByXXubT8pfXZS1zlNUlwSyEED52bss6O9/O3O/3sC81h+jgAh4ZUEjLHgPLfCbwh2WETXkUfW4O9puHkj/j7RrtneyNirqsZY6yuiSYhRCiDu1MPs28FYlYCx1cGrGRx1q/jfm0k/x0B/YWo9Hl5hD63NMEfbMYJSSE/LfepWj0GND5dgMKqLzLWuYoq0eCWQgh6oDT5WZJfDI/b0zFaNAxrusuhga8WpK3SkkIug80JezxhzAcS8fRsxf5732Eq227uiuzdFn7RI2DuaioiJEjR3L55ZczdepUcnJymDFjBi1btiQlJYUpU6YQHR2tRlmFEKJeOJVTyIfLd3P4eD5NokKYeOtFtHMeh0QTKHYUeyDGOQcI+WooitGIberzFDz2RJ0O8AJZVtNXavxfedasWXTu3Ln055kzZ9KvXz8GDx7M6tWreeONN5g2bVpNLyOEEPXCxsSTfPZTEoV2F/0uasqY69sTFGjETknIBW5YScDrfxGYGo+zQ0fy35uLs1uPOi71P6TLuvbVaD/mZcuW0atXL2Jj/9mxJD4+np49ewLQq1cv4uPja1ZCIYSoB4qKncz/MZEPlu/B5VYYP6QT/7q58z9bNdrtGOcfwPTISvRppyl46DGyV63VVCgL3/C6xXzw4EEOHTrElClT2LdvX+nrmZmZmM1mAEJDQ8nNzcXpdGKspAsmMjIEo9FQ4fvliYkJq/og4RGpU3VJfarPX+s0KSWLmYu2cjzTxgXNLTx1d29anr0BxbZtMHYs7NwJcXEwfz4hV1xBSIVnVIe/1qeWqVGnXgfzqlWrCAwMZO7cuWzZsgWHw8H8+fNp1KgRNpsNi8WC1WolPDy80lAGyM4u8OjaMTFhZGTke1t0UQ6pU3VJfarPH+vU6XKzYkMKP2xIAQVu7NuKoVfEEaCn5F6KijDPeIPgd2ehc7kovGcc1hdfhtBQqOV79cf61DpP67SiEPc6mCdOnFj673a7nYKCAsaOHcuhQ4fYtm0bzZo1Y+vWrQwYMMDbSwghhN86kVXARz/s4fDxfBpZTNx/U2c6tPpn3rHxrz8Jm/IwxoMHcLVqTf6M2TgGDKzkjKKhqPHgr59//plNmzbhcDhYsWIFU6ZMYfr06aSkpJCamsrUqVPVKKcQop5Ra9MDrW2eoCgKf/y+jIWbzdhdRvpd1JS7rm1PSFDJn1udNR/zyy8S/MlHKDodBQ9MxPbMf0payUKgQjBff/31XH/99WVee/nll2t6WiFEPabWpgda2zwh11bM59/9yrb0cEIN+TwWN4/uve7EHlQycyVg9SrCnnwcQ1oqzvYdyH/rXZx9+tZZeYU21WhUthBCeKO8FaTq8jw1pSgKf+09wX/mJbAtPYgeYdt5t/NjXBEZX1LGrEzCHp5AxB0j0J84jm3KU2T/tl5CWZRLVv4SQvicWitI1fZKVNXpJs+12vn8531sO3CaQKOeMb3zGKG8joEiFALRrSkmavbF6LOycHTvSf5b7+Lq0lXVcor6RYJZCOFzaq0g5e15qhO4VXWTl7SST7Jo1X5sRU46tIzgvsEdaRwZgi29gIAdqwh4ewfB2z5HCTFjfeFlCidMqvPVu4T2yW+IEKJOqLWClKfnqe5z6co2bMjOt7Pg531sP3gaU4CBu65tz8BeLdDrdGCzYfxkH0HvL0fndGK/8Sasr7yBO7Zlje9VNAwSzEKIBqWywD1bed3kiqKwYfcJvvz1AAV2Jx1bRTB2cCcaRwQDEPjLj4Q++xSG1KO4WrbC+to0iq+70af3J/yfBLMQokGp7nPpc7vJ083DWPDNTnYdysQUaGDM9R0Y0KM5ep0OfVoqoc9PxfTjChSjkYJHp2Cb8jSE1PbaXaI+kmAWQjQonjyXtrcYTUGzO1i1KY1l6xModrjp3CaSsTd0JDoiGAoLCXnvbULeeQtdYSHF/fpjfWMmro6dfHU7oh6SYBZCaNqZgVrkXw5hw1U5Z1XPpc9cc19xPz7a0prUU1ZCgwO49/qOXHpRE3RA4PdLCX3x3xjSUnE1boLtzbewj7qTkg2VhfCeBLMQQrPOHqjFsQWYOhbV+gIipvRFGHY/w4K0kazMiETByuXdmjFqYFtCgwMw7NlN6L+nEvjHOpSAAAoefpyCKU+hhMqGEEIdEsxCCM06e6AW7ooHatXUmRayI6w3W/alMX/3DLIcjWhhSuP+3kdpfcW/0WVlYn7hZYI+/xSd2439uhuw/e9VXHFtVS+PaNgkmIUQmnX2QC306i8gAv+0yk8WRfBRalM25vbGqHMwutkiRjRbSVHLN9HN+wDzm6+iz8nB2bYd1pdfx3H1taqXRQiQYBZCaNjZA7VCYi/HXsUzZm82tHBlbWVR+jCWnBiOQwmkc/Rp7rtMoRVhODfdRch/Z2I8lIw7zIL1f69SOH4CBATU+N68VVubdmhtM5CGTIJZCKFpZwZqhcSEVbpHsacbWiiKwtb9GSz+/XoybQaiAjIZ1/ILelx2O+5jFxLw0jwCNiWgGI0UjvsXtieeQYmJUf3+PFGTTTsqC16tbQZSU/7+JUOCWQhRL1R34RCAY6dtLPp1P3tTsjHojdx8UT63tdlIYP5VBPzn/zCt/B4A+5BbsP37BVwXtvPZfVTGk3s8W3nBS8yEGp9Xi+rDlwwJZiFEvVCdhUMK7U6+/+Mwv25Ow+VW6BrXiDuvaUczdwHBM9YS9Nn/Q+d04ri4D9YXX8HZ99I6uJOKebtpR/m7cP0TzLW9GYgv1YcvGRLMQoh6obKFQ9xuhfW7jrN07SFybcXERARx56D29GhsJOSDtwj+cA56az6uNhdg/c9LFN90qybnI3u7aUdVwavWpiJaUB++ZOgURVHquhAZlTw3Kk9MTJjHnxGVkzpVl9Sn+ryt092HMvlqzUHSM2wEBugZfGlrBndtRNj8eYS8Owt9Tg7u6GgKJj9F4b3jITCwFkrvOxU9Xz339fr8O1pXz5g9rdOYmPLnvkuLWQhRL6WdsvLVmoPsOZyFDri8WzOGX9KcZksXEfLADPQZp3CHR2B9/oWSkdahoXVd5Bqr7PmqWrt5+QN/v1cJZiFEvZJjtbNs3SHW7TyOosBFbSIZdUUb2q1eTsi1b2JIT8NtDsU25WkKJz6MEh5R10VWjZaer/r7yOi6JMEshKgXioqd/LIxlR8TjmJ3uGgRbeb2K1tz8eZVmIeNxZByGCUoiIJJj1Lw8OMo0dF1XWTVaeX5an0YGV2XJJiFEJXSesvH4XTx+7ZjrPgzhfwCBxZzIKOvaMWgPb8Reud4DKlHUQICKLzvfgomP4W7abO6LnKt0cogLi213P2RBLMQokJqtHxqK9hdbjd/7DrB938cJivPTlCggeF9mnHr/tWE/+t+DMePlbSQ759A4cOP427eQrVrq03NOtLC81WttNz9lQSzEKJClbV8qhMmtdGl6VYUNiedYunaQ5zMLiTAqOfmbtGM2P8bkY++hz7jFEpICAUTH6Fg0qMoTZrU6Hq1rT52+2ql5e6vJJiFEBWqqOVT3TDxpEuzqqBXFIUdB0/z3dpDpJ6yYtDruLGtmVH7VhE1ZR76rCzcoWEUPPYEBRMe8ptnyPW121cLLXd/JcEshKhQRS2f6oSJKX0RBtt+FIzocFbapVlZ0CuKwo7kTH5cuJUDqTnogBsbO7l910qi3luMrrAQd0QEtqeepfBfD6JERNZGVdQa6fYV55JgFkJUqryWT1VhUiZoMWCPvBJ7s4pbUOUFfWHzO9l+4DTf/3GYoyetANwceJqR25YTMWslOrcbV8tWFE6YROHoe/x2HrJ0+4pzSTALITxWVZiUCVpcuMztKw2cs4PeRRB/ZPfnu082kZZhRaco3Ok6xLA/5hG8JREAR9fuFD70KPZbhoHR//+M1Wa3r9ZH1Yvzef0bffToUWbNmkXnzp05ceIEERERPPzww+Tk5DBjxgxatmxJSkoKU6ZMIdpPnvUIIaqvsjDxtHvW3mI0bjdsSjrGkoNdSc8NINiRwUPZW7lqwzKCDh0oObArKDcFUDjyQeyxI9W+pXqnPg4sawi8DuacnBwGDx7MNddcA8DgwYO56qqr+Prrr+nXrx+DBw9m9erVvPHGG0ybNk21AgshtM+T7tlih4s/dh3n540XcCqnKc1yj/NC8tf03PwXBmshSkAAzuvaYrzqILQGHQ6M+Vuwc5evbsdv+fvAsoba2vc6mLt161bmZ7fbTXBwMPHx8UycOBGAXr168cwzz9SshEIIv1RV96y10MHqLWn8tjWNfFsxvdJ28dy+5cTt2oJOASUCih68GevDbxHo+BVL0mPglgFSnvDngWUNubWvysOZVatWcfnll3PhhReSmZmJ2WwGIDQ0lNzcXJxOJ8ZKngNFRoZgNBo8umZFu3II70mdqstv6/PQZ3A6AaL7Qty9qp/+RKaN5WuTWbXxKIb8PK47uJ4Rib8QcTS55IALgetB1xeCOsYSdNGFJS9aguB0ArrovlhqoVy1opbrskoxEyqtN03/jh7eAWe19i3FO0ruR+PUqNMaB/Nff/1FQkICzz33HACNGjXCZrNhsViwWq2Eh4dXGsoA2dkFHl2zPm9XVlekTtXlr/VZppVycC7F+z6pdDS1J1JO5PFTwlE2JZ6k7fEDPJL0G/33rsVoL+muLhoxCtetFxBinFXawssP7I7973qMibuXjLDhJSfzg7otU5fJn5CfV1Q3Lb6w4SX/QJl60/rvqCmwO2E6U7m/C1qliW0ff//9dzZv3szzzz/PqVOnOHbsGAMGDGDbtm00a9aMrVu3MmDAgJpcQghRS8p7fnfuaGpT9loCcxIA77oRnS43W/Zl8NuWNNIPn2BAYjzv7V1Fy+MlrWNXq9ZYx4yl6I67S1focqVfUC+eK1Z3rnd9uNfa0JCnkXkdzLt372by5Ml06dKFe+65h4KCAu666y6mTJnC9OnTSUlJITU1lalTp6pZXiFEDZwJAtzFBB//6rznd2c/kzzDm0FDebZi4rens2ZrGtHJiVy/6xcG7luHqbgQxWDAPvhmCu+5D8dVV4NeX+az9WXqkEdzvVV4hlofQ762Vw/Tap15HcxdunRh27Zt5b738ssve10gIUTtKLvohx4dbqBs8Jaug318EYHZG6pcsetch4/n8duWNPZvSuKKPb/zyt7VtDp9FABXbEtsd99L0egxdbLDk68HE3k017uGI6Yb8kApb2m5zvx/Zr4QolrKdlO7S8P5TPCe3XrI672i2q0Ju8PFpsRTrN98mOj1q7lmz2qePrIVg9uNEhhI0S3DsN8xmuKB14DBs0GeaqqLqUNqzvWujL9Pi6oLWq4zCWYhNKQ2u9bODYLCZreDPrA0EMprPVRWhtRTVuK3pXHq1/X03/4rLyatJcxesnSmo0dPCm6/C/vw21Aio1S9D29pbeqQms9QtXZv/kDLdSbBLIRGqNm1Vl7AVxYE5sQp1Wo92ItdbEw8SdIvfxK39kdu37eO5jnHAXBGx1AwfhxFt4/G1amzV+WuTWoEodpfnNR6htqQB0p5S8t1JsEshEao1bVW9lnyp5iOLyqd8lRREFTWelAUhcPH89nx+zaCl3/HZbt/Z3jGYQBcpiAKh46g+LZRFF99rebXra5JEGr5mSTINove0Gqdafv/IiEaELW61ryZ8lRe6yErr4jt63fj/G4p3bf8xgPpewFwG4xYr7oW9+23Y79+sN/u6uQpLT+TFPWLBLMQGqFW15q3U57sLUaTF3M7e9bvwP7/nufChN8YmZ6IHgVFpyO7Z1/0o+/EcfOtKFGNvCqbr6nZ9azlZ5KifpFgFkJD1OhaK3fKEwYMtv2Y0hedd36X283hP7ZTtPgbYtev4vrj+wFw63RkdumFYfhwlOHDcTdvUaNy+ZraXc9afiYp6hcJZiF8oKYtN08/fybgTemLSgP67C7twia3c3zVOgqXLqfZn6vpd/LvZ8Y6PWld+6IfPozA20ZAkya4PC6tNtRG17NWn0mK+kWCWYhaVtlgLI8/72HLz95idElAZa9FKYL0LY3Ie/dTmu98lh7WbACceiOHuvfHdcuthN95G6a/909XvLhXLZGuZ+GvJJiFqGU1XX+6Ri2/o0c5tcSO/peWND14gljnMeAYecEWdl8+BG66iZjbbiLMEu7VvWmZdD0LfyXBLIQXPOlarun60x61/AoK0K9fh+37lZjX/U6j4ynE/P3W0eiWpPfsifG2McQOuZomgQHVuFPPaWn9Yel6Fv5IglmIClQUMJ52Ldd0/elKW36KgiFxL7pVv+D86Wcid2zG6CymEVBkNLGtbR8yL72S4GG3cEG/7rQ16su/iEq0PtdXnLWRSf7l/2wHKTRFglmIclQWMN50LZ89GMub1mRpy09RMBw8gHF9PK41vxP05x8E52SWHncopg1JHfpgv+pqmgy5hgsvaEysXlflvVanTNU5Tub6atvZv9ccW4CpYx3tES0qJcEsRDkqC5hqdS0f+gxz2vrzQszjrlVFQX/4EIF/rEO/Nh7D+nUEZZ4qfTvLHElCxys51r4Zwd0L6N46if69BlEcq+7Asuoe54sBV1rqKvc3Z/9e45YvTlolwSxEOSoLmKoGFZnSF0HSY4S4vejOdbsxHNhPwKYEjBvWY1gbT+CpE6VvZ4dEsLHD5ey7oDuOy68gtl9PLnG9zVUZc0qPKcjfTDHVu151W7jVPa62B1xJV3nNlBnvoJeR6lolwSxEOaoKmMpavsa8zeCuZneu1UrAti0lQbwpAcOmjRjzckvfzgkOZ2P7y9gV24WMHn1p0q8n3S6M4ebmYRj0Jc+LTendUE6bvGqlVreFW53jzm7J2jrNrHYZPCFd5TVz9u91SOzl2OUZsyZJ+Kx1KwAAEd9JREFUMAtRAW9H9DotvUG/ANznhJiioD+SQsCWTaVBbNyzG53bXfrZYxHNSOzci6TmHTl5QQti2hyjh2UHd1q+Q9+tF/YWbcstJ3jXSq3uZ6vTS+CLlqzMTa65M7/XITFhkJFf18UR5ZBgFvVWXT2LtLcYDWEmCjf/hHLUgvGv/QRtvxXjzm3oc3JKjys2BLC3WQcSm3UkqXlHUuO60KLzBXSLOMBw279pFpha5rwFlbQOazItqLqfraqXwBct2ep+kZDn0MKfSTCLeuPsP8aAT1pwpvRFGHM34bLF4T7ZGuPO7QRs3wq7dhCcmVnm2OORzTjQoQv7m7YjsXknsi7sSFzraDq0jGBIywiaR5vR63SYEz8hJK1sKGu9dejLlmxVXyTkObTwdxLMol44949xcUTfWmnB6fLzMCQmYkzcg2nTUgJ2rEWXqkBB2eMyopqR1L4/B5tcyMEmbUluHEdosxjat4ygfcsIxreMIDo8CJ1OV1p+Y1LJl4oyIYeB4sj+pUt4arUl6El3em3fgzyHFv5Ogln4nXP/sJvSFxF8ZFaZP8ZQ0sr0pgVnSl+EMeMv3DktcedeiCFxD8a9Jf8Yjh4pc6xbp+NUVGOSY+M40LgdB/4OYXdkJG2ahhHXPJyBzS2Ma27BEhJY4fXO/lKR3+lt8ju9fV54ab0lWJ0ucV/cgzyHFv5Ogln4lXP/sBtzNhB8/Ku/W5egoySQ7c1GY282uvKWmaKgy8zEeHA/hgMl/wTs/h3j/t3oMjhvFwebJZIjbXuxPzyWlOjWpES3ITUqFnegnlZBqVwYZaVvq9bcdtE1dOvQhMxMa7XuqbwWnq3TzPPKfO5xwUdmAdoK58qU9wWqNlqzska28HcSzKLOlNfyreyPaXl/2E2nlp+1QQQ4zB0pbP146eftze8sCd/NGzGkHC7550gKhkPJGPbvRp9rO+86BaFBnGzVhJSI1iRHtCUlujVHoluTY47AFGigVeNQWjUJ48omobTVrSeu8AvMuetLltp0mMi3v41eP6Ha9eDVlCUgwJaEMfGxkvvUePiU3WHrny9QtdWalTWyhT+TYBa1prLgBSpu+ZbTxVnuH3bA4MxFKQJdJihZATgNvTCuSsSUcjeGlMPoj6Sgt54/JcSt15MXFcbxDh04FBHHgfC2pEW1ID2yBdbgMACiA0/TPDqMFq3a0a9JGK2ahNE4Mhi97uwlLkehT/wLXe7vwFktWUtQtdch9nTKUvCRWQTYkkqv5w/PUMvusHX+FyjhPa2OOxDek2AWHvFkXeXKgvfcwVkBuRvP6+IEMGYmoMvMI+DwJnRpdsg8E8JGdBnOkp//7jHW4SCYRaVlcJqCyWrcnIy4HqSZwzkc3Jj08FiORzQlwxKD01Cyu1LjwFM0j4A2bS7msmgzbdx/0Eq/icBGPbC3uLHK+y+vJcvGCR6tQ+zJlCUAY+mXFAMG235M6Ys0/Uf53F4BCWV1aH3cgfCOBLMoV3mt3bK7I1X+R+Dc56HnBi9FLpSTgeiyi1FydOhtmSgZOnQ5CkqOjiDrt+gy5pWG7rl0OHEGGrBFmMluGsGpyLakh8VyxBTJMUtTjkc0JSckAv5u3QYbHbQIPEIz03GuMK0nJspCnLKWWNMhgo0K+Z3ext6i3d9nH4nCSM5s0li6G4+7uNxWfXkt2dpch/jc3ao83d+5Lnjz3FdaglWTEej1kwRzA3V22KAPhGQwF1NlN/MZZf4IuFzosrPRZ2Wiz8pEl5mJ7lAhyn4DujwXilWPvji/JHjzFZR8MBX98c+5UDCQUeZnZ3AhBaFh5MeEkR0aySlzY1LNsaSGtiQjLJrTYdHkB4WVBi9A+P9v7+5D2zjzBI5/512WJce27OTi65akPZpu01zcULbkskcC6dsf+eMSKFsvbEtCz4HU7aYHhXIHTTkO0qSQNIXCJfQubAJHYa+425LNObTg2xKXBuMmsFm717IX8mK3l9hxZVnvmuf+kC1bsmTLji2Pkt8HxGg0o5lHP8nz8/PMM8/U2oRW+Fjt/MB6+xrNTRqND2xnZUMNoZH/pG7gn3I1trGfHgNaIdxLzE1ihnsxR3tAt0v3hEZHw535+ZlZk50ch3i2W0dOj/9CRuwyw71ot/+QVx6ofKenchPofM77FqsJ0lz+eft7xR31QC9xoxWx/JYsMff09HDu3DlCoRCaptHR0bFUu8rjKkXvwP8RT2bw2QaOZeCzDeyJ6fR501jae9Muhvl2kCp8X+GBf0bNNw1aAoiDPw4q9htS+jq0HxIQA208gZM+gzaanSeafago1MRPUxP9DURTaKpkUdBwMbhBxjSIBwJEG2sJB1YwEljJLV8d3/vq+cH/F9yubWCktoHbtY0kLCf/8+hxVtq3aGhs5ifNa9lY5xCq89FY5yNU59AQ9GGZev4BPeEwxjG4DeZYL7HVvyiaBGd2SpqqDeefG3VzybnYQbBwHGLC8aLNjMU7Qs2/GbLwoIybrNygKks8kEuxmiBIYi600B7od3SjFbHkliQxx2IxDhw4wJkzZ7Btm1deeYUvv/ySzZs3L8Xu8nw/HOVff3e5rHVNPYPPyOAz0/jMDI6Rwme6+CamjpHEMcHWk1iGhqUlsUwNW0timxqWlsAydSwtgW3q2NPnLR2bOKZpYqgExsRUM+ypWqqbBM2CdAKURbq2FdIu5kgvWiKOEb6KNdyHls6gUv+OX/8XjMggWtpFpf6NGvsILo1oaQ2SSUiDlkiiRUYwfhxESyhUIpt4VeIDgqlfQywxMZ99aJn8mGiksPlj3msG+SNYKQ0SjkPc5xAL+ImGavixZgWjNfXc9tUz4msk7KsjXDP5CBKuqSNu+fJquAB1dpwG4wcarRFWWTf5q3qD5sQ5Gq2b1FthAqG1BFc04bc1Misen3HOd8Z3WnBAd4b+A3v0q4KaMtT2/wPpusdndEqafN9kbXjGudESyX3S9HGIzT/8fdFmxrn2Wa7Cg3IlmjWXYiCXOc/bl3HTjHs5qSykB/q8brQiKm5JEvPFixdpaWnBtrMDKmzatInu7u6KJOY1t3/Lyd5/xv0RXNcgo3RcpeO6E9PCh6vjKg01Ma+UhoZCU9kqoKbUxDxAwXOlsgdWpdCVwlAZdDeDoVx0N4NyM7iui+ZmQLngZtBVBsPNYLhudqrckp9lOg0Xk+vT5hUW/1PG+7IUGglLI26tIG7VEPf7iK9wiFs+ElZ2Grd8RJxaoo6fcac294g6fsZtP+O+WsbtWuK2D6VNtTbYWgK/EaPGiOI3Yvj1KEFzjIYVIe63kzTGfk/QGKPOHKMm0EBD+o8EzTECxjiJn+yZSCo3csnFf70zt+3oyp8x/tMjhQNrlTSjFgmzJOrTxFb/YmogEmZexnMn18SWSi6FncXu5NKhwoPyUg+sUZj8s/tc2EAuULrzkldumnG3KnmjFeEJS5KYh4eHqa2tzc0HAgGGC8YNnq6hwY9pGvPaR3NzsPiC81/Bl7cgNa/NlU1pk9OJJ9pEutY0XEPPTnWdjK7j6gYZQ8e1DNK6SVKzyegGGV3PTjVjYn7i+cR8yrBIGjYpwyRlWKRMi3Tecyu7zLRIGdllScMiYxi4pk7aNknbJinLmnhu4Fo6pu5iaBl0Mhiai+kEcRwH21A4Rgo7NYid/h5HSxLSR1jtVzjJP+HoCWw9ifOX2/H/9a/x3/o9Nf3/iF/7kRo9hqWnZwZKd+Bnx7PPL/xX9r9z3YE1v4Ir/52b99/3c3jgRXLNlH/2weDpvOX+Ut91Mc17s5cq3foKrekJHIALX+W251hGtqmAbGLx+2vhiePZ9d0U6BZa0xPUPfBi/jYX0Ixa15pfltw2p5ex1D4XornE/hbT2M/zvh9n3R5gz8L3+b+X8r6PuuSlqXPJReKe+7uf7X1ibpX4rdyjSuameViSxBwKhRgfnxq4IRKJEAqFSq5/+3a59aGs5uYgN0vcrsxZ87cET/wWLZHM1ka0bDLN1kqmTTWKL5/rdbJTHTVtXk1MM7nlC5sagJY99zvttbT/QczonydeL5wvva1kwxYyNWswYlemzikXjL08Pabhi8cJ9h/Na7atGeqeagZe8wKJoA3Bv8Oxo5jhXlJukpRe0Dw/2dQ7cR2v83A8/zy57/Gp+eCu/FvPBXflr1+4vBzBXXnXEE/fHkDwZs/UZ7I3ZvdReM3xHd4OL/cbnb7tgs+52Pucsd2luKVfse9ncr8L2KdjbyQ4rcY9Zm8kUWIb0//u5/M+UVzzAy9ycyl/K/eg2XJTqfWLWZLE3NrayuDgIMlkEtu26evr45e/rEwz0/QmsMJk4fXpZOIo1WmrWCew2bZVrBfwfO+5m67/m6Lvm895rcJ153rvYo/aVGx7cm5y4Rbz+1noqQIZdlPczTSl1Cz9aRfu/PnzdHV10dDQgGVZs/bKns9/GDD//0rE3CSmi0viufgkpotL4rn4PF1jBtiyZQtbtmxZqs0LIYQQdyXvX8grhBBC3EMkMQshhBAeIolZCCGE8BBJzEIIIYSHSGIWQgghPEQSsxBCCOEhkpiFEEIID5HELIQQQniIJGYhhBDCQ5ZsSE4hhBBCzJ/UmIUQQggPkcQshBBCeIgkZiGEEMJDJDELIYQQHiKJWQghhPAQScxCCCGEh5jLXYDZ9PT0cO7cOUKhEJqm0dHRkbc8kUhw6NAhVq1axZUrV2hvb2ft2rXLVFrvmyueJ06c4NatWzQ1NXH58mVeffVVHnzwwWUqbXWYK6aTPvnkE15//XX6+vqora2tcCmrx1zxVEpx+vRpAG7cuEE4HObgwYPLUdSqMVdMr127xuHDh9mwYQP9/f3s2LGD7du3L1Npve/mzZu8++67DAwM8NFHH81Yvih5SXlUNBpVTz75pEokEkoppTo6OlRPT0/eOsePH1cnTpxQSik1MDCg2traKl7OalFOPI8ePapc11VKKXXmzBm1d+/eipezmpQTU6WU+u6779SRI0fUQw89pCKRSKWLWTXKiWdnZ6fq7OzMzff391e0jNWmnJi++eab6uTJk0oppS5fvqyeeuqpShezqpw9e1Z9/vnnaufOnUWXL0Ze8mxT9sWLF2lpacG2bQA2bdpEd3d33jrd3d089thjAKxbt46BgQEikUili1oVyonn/v370TQNANd18fv9lS5mVSknprFYjA8++ICXX355GUpYXcqJ56effsro6CinTp3iyJEj0vowh3Ji2tTUxMjICAAjIyOsX7++0sWsKs8+++ysv7vFyEueTczDw8N5Hz4QCDA8PDzvdUTWfGKVTCbp7Oxk//79lSpeVSonpkePHmXfvn25A6MorZx4Dg4OEolEeOGFF9i5cycvvfQSmUym0kWtGuXEdPfu3Vy6dImDBw/y/vvvs2vXrkoX866yGHnJs+eYQ6EQ4+PjuflIJEIoFJr3OiKr3Fglk0neeustXnvtNe6///5KFrHqzBXToaEhwuEwZ8+ezb128uRJtm7dyoYNGypa1mpQzm80EAiwceNGANauXUskEmFoaIj77ruvomWtFuXE9I033uC5555jx44djIyM8PTTT/PZZ59RX19f6eLeFRYjL3m2xtza2srg4CDJZBKAvr4+tm3bxujoaK5ZYNu2bXz99dcAfPPNNzz88MMEAoFlK7OXlRPPeDzOgQMH2L17N48++ihdXV3LWWTPmyumq1ev5u2336a9vZ329nYgWzuRpFxcOb/RzZs3c+3aNSB7wMtkMjQ3Ny9bmb2unJgODQ3lYlhXV4eu67iuu2xlrkaLnZc8fROL8+fP09XVRUNDA5Zl0dHRweHDh6mvr6e9vZ14PM6hQ4dobm7m6tWr7N27V3plz2KueHZ0dPDtt9+ycuVKAKLRaNFeh2LKXDGF7Hm7Dz/8kGPHjrFv3z6ef/55Vq1atcwl96a54jk2NsY777xDS0sLV69e5ZlnnmHr1q3LXWxPmyumvb29nDp1ikceeYTr16+zfv162tralrvYnnXhwgU+/vhjvvjiC9ra2tizZw/vvffeouYlTydmIYQQ4l7j2aZsIYQQ4l4kiVkIIYTwEEnMQgghhIdIYhZCCCE8RBKzEEII4SGSmIUQQggPkcQshBBCeIgkZiGEEMJD/h9iBshNwiZrkQAAAABJRU5ErkJggg==\n", +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "text/plain": [ "
" ] }, "metadata": { "filenames": { +<<<<<<< HEAD "image/png": "/Users/MortenImac/Teaching/MachineLearning/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_84_0.png" +======= + "image/png": "/Users/hjensen/Teaching/FYS-STK4150/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_84_0.png" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 } }, "output_type": "display_data" @@ -2446,7 +2541,11 @@ "name": "stdout", "output_type": "stream", "text": [ +<<<<<<< HEAD "0.004999999999999991\n" +======= + "0.0050000000000000044\n" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 ] } ], @@ -2653,6 +2752,7 @@ "cell_type": "code", "execution_count": 28, "metadata": {}, +<<<<<<< HEAD "outputs": [ { "ename": "FileNotFoundError", @@ -2666,6 +2766,9 @@ ] } ], +======= + "outputs": [], +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "source": [ "# Common imports\n", "import numpy as np\n", @@ -2711,7 +2814,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 2, +======= + "execution_count": 29, +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "metadata": {}, "outputs": [], "source": [ @@ -2746,7 +2853,22 @@ "cell_type": "code", "execution_count": 30, "metadata": {}, +<<<<<<< HEAD "outputs": [], +======= + "outputs": [ + { + "data": { + "text/plain": [ + "' \\nThis is taken from the data file of the mass 2016 evaluation. \\nAll files are 3436 lines long with 124 character per line. \\n Headers are 39 lines long. \\n col 1 : Fortran character control: 1 = page feed 0 = line feed \\n format : a1,i3,i5,i5,i5,1x,a3,a4,1x,f13.5,f11.5,f11.3,f9.3,1x,a2,f11.3,f9.3,1x,i3,1x,f12.5,f11.5 \\n These formats are reflected in the pandas widths variable below, see the statement \\n widths=(1,3,5,5,5,1,3,4,1,13,11,11,9,1,2,11,9,1,3,1,12,11,1), \\n Pandas has also a variable header, with length 39 in this case. \\n'" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "source": [ "\"\"\" \n", "This is taken from the data file of the mass 2016 evaluation. \n", @@ -2772,7 +2894,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 3, +======= + "execution_count": 31, +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "metadata": {}, "outputs": [], "source": [ @@ -2814,7 +2940,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 4, +======= + "execution_count": 32, +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "metadata": {}, "outputs": [ { @@ -2858,7 +2988,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 5, +======= + "execution_count": 33, +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "metadata": {}, "outputs": [], "source": [ @@ -2880,7 +3014,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 6, +======= + "execution_count": 34, +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "metadata": {}, "outputs": [], "source": [ @@ -2898,7 +3036,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 7, +======= + "execution_count": 35, +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "metadata": {}, "outputs": [ { @@ -2921,7 +3063,11 @@ }, "metadata": { "filenames": { +<<<<<<< HEAD "image/png": "/Users/MortenImac/Teaching/MachineLearning/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_114_1.png" +======= + "image/png": "/Users/hjensen/Teaching/FYS-STK4150/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_114_1.png" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 } }, "output_type": "display_data" @@ -2961,19 +3107,31 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 8, +======= + "execution_count": 36, +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "metadata": {}, "outputs": [ { "data": { +<<<<<<< HEAD "image/png": 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\n", +======= + "image/png": 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\n", +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "text/plain": [ "
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] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "filenames": { + "image/png": "/Users/hjensen/Teaching/FYS-STK4150/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_118_16.png" + } + }, + "output_type": "display_data" + } + ], +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "source": [ "from sklearn.neural_network import MLPRegressor\n", "from sklearn.metrics import accuracy_score\n", @@ -3165,7 +3510,11 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", +<<<<<<< HEAD "version": "3.6.8" +======= + "version": "3.8.3" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 } }, "nbformat": 4, diff --git a/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_118_16.png b/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_118_16.png new file mode 100644 index 000000000..88dc008c1 Binary files /dev/null and b/doc/src/LectureNotes/_build/jupyter_execute/gettingstarted_118_16.png differ diff --git a/doc/src/LectureNotes/_build/jupyter_execute/notebooks.ipynb b/doc/src/LectureNotes/_build/jupyter_execute/notebooks.ipynb index 3e29ef73f..6ed5278d8 100644 --- a/doc/src/LectureNotes/_build/jupyter_execute/notebooks.ipynb +++ b/doc/src/LectureNotes/_build/jupyter_execute/notebooks.ipynb @@ -63,14 +63,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", +======= + "image/png": 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+>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "text/plain": [ "
" ] }, "metadata": { "filenames": { +<<<<<<< HEAD "image/png": "/Users/MortenImac/Teaching/MachineLearning/doc/src/LectureNotes/_build/jupyter_execute/regression_70_0.png" +======= + "image/png": "/Users/hjensen/Teaching/FYS-STK4150/doc/src/LectureNotes/_build/jupyter_execute/regression_70_0.png" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 }, "needs_background": "light" }, @@ -1027,7 +1187,11 @@ "name": "stdout", "output_type": "stream", "text": [ +<<<<<<< HEAD "0.037875961483052376\n" +======= + "0.03787596148305239\n" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 ] } ], @@ -1455,23 +1619,39 @@ "Mean squared error: 12.36\n", "Variance score: 1.00\n", "Mean absolute error: 2.83\n", +<<<<<<< HEAD "[ 0. 618.32047562 -861.13519106 1404.91549644] -11.057088709963296\n", "Mean squared error: 197.93\n", "Variance score: 1.00\n", "Mean absolute error: 11.69\n", "[ 0. 28.18220995 282.79902342 842.30879705] 12.946893955209475\n" +======= + "[ 0. 618.32047562 -861.13519106 1404.91549644] -11.057088709963637\n", + "Mean squared error: 197.93\n", + "Variance score: 1.00\n", + "Mean absolute error: 11.69\n", + "[ 0. 28.18220995 282.79902342 842.30879705] 12.946893955206974\n" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 ] }, { "data": { +<<<<<<< HEAD "image/png": 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\n", +======= + "image/png": 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EdgCBOewyBJihqqlAlIjsBTqISDRQXlXXAIjINGAoliyMMR4QcyiJn5+JJGBHKutq/8rW61dRro4/7Wq14+nOT1POr5ynQ8wXBfIEt4gEA22Ada6ix0Rki4h8LiLnOxwHAgez7BbrKgt0LV9cnt1xRotIuIiEHzt2LA/fQd7y9vYmNDSUFi1aMHjwYE6dOgVAly5dsq3/yiuvMHHixGy3XamtW7dSt25dPvzww2t6nZ9++onGjRvTsGFD3nzzzcvWe+CBB6hWrRotWrS4puMZUxisXXuUX0Zuhj0nmBc6hZ3911K+bgB3t7qbl3u8XGwTBRRAshCRssAc4AlVPYPzklIDIBRny+Nf56tms7vmUH5poerHqhqmqmFVq1a95tjzS0BAABEREWzbto1KlSrxwQcfALB69ep8P3bLli2ZMWPGhfGprobD4WDs2LEsWrSI7du3880337B9+/Zs695333389NNPV30sYwqDzExl7rQ97By/mxNp+5lx/Qec7X6EajUr82rPVxneYvhlR44uLvI1WYiID85EMV1VvwNQ1aOq6lDVTOAToIOreixQO8vuQcBhV3lQNuXFQufOnTl06BAAZcuWvVD+xhtv0LhxY/r27cuuXbv+tM/f//53mjRpQr9+/RgxYsSFVsdXX31Fhw4dCA0N5eGHH8bhcGR7zGrVqhEZGXnVMa9fv56GDRtSv359fH19GT58OPPmzcu2bvfu3alUqdJVH8sYT0tMSWfKS5tJfDeOiEormN99CqXbQ8vaLZjUfxJtarbxdIgFIt/uWbh6LH0G7FDVd7KU13TdzwAYBmxzLc8HvhaRd3De4A4B1quqQ0QSRaQTzstYI4H3rzW+wd8MvtaXyNYPIy4d9+lyHA4HS5cu5cEHH/xT+caNG5kxYwZ//PEHGRkZtG3b9sKkSeHh4cyZM+eSbTt27GDmzJmsWrUKHx8fxowZw/Tp0xk5cuQlx50wYQKpqanExMRcMoptt27dSExMvGSfiRMn0rdvXwAOHTpE7dr/zetBQUGsW7fukn2MKepiDifx03OReO84zcLGs4lrvZ9KdUszrOkwRrYeWSgnKcov+flOrwfuBbaKSISr7C/ACBEJxXkpKRp4GEBVI0VkFrAdZ0+qsa6eUACPAlOAAJw3tov0ze3k5GRCQ0OJjo6mXbt29OvX70/bV6xYwbBhwy4MW37zzTdf2LZy5UqGDBlCQEAAAIMHO5Pe0qVL2bhxI+3bt79wjGrVql1y7J9++omzZ88ycOBAIiMjL0kWK1asyDV+1UuvAhb3JrgpedZtOMqWF/eSdPYgC9t+jbRKpWbNKjzR6Qk6BXXydHgFLj97Q60k+/sNC3PY5w3gjWzKw4E8vUN6JS2AvHb+nsXp06cZNGgQH3zwAePGjftTnct9+Wb3RX2+fNSoUfzzn/+87HFTUlJ47rnnmD9/Pl988QXbtm1jwIABf6rjTssiKCiIgwf/2xchNjaWWrWK/hOqxoDz/sS8b/Zz8v1D7Cm/nhUdfqRiiwAa1WrCC91eoEbZGp4O0SNsPgsPqlChAu+99x4TJ04kPT39Qnn37t2ZO3cuycnJJCYm/mlI865du/LDDz+QkpJCUlISP/74I+CcWGn27NnEx8cDcOLECWJiYv50vNdff52RI0cSHBxMy5Yt2bZtGxdbsWIFERERl/ycTxQA7du3Z8+ePURFRZGWlsaMGTP+1PoxpqhKSklnyqtbOPFOFEuCZrIibAGV25ZhUMuBvH3D2yU2UYAlC49r06YNrVu3ZsaMGRfK2rZty5133kloaCi33nrrn+a0aN++PTfffDOtW7fmlltuISwsjAoVKtCsWTNef/11brjhBlq1akW/fv2Ii4u7sN+uXbtYvHgxTzzxBMBlk4U7SpUqxeTJk7nxxhtp2rQpd9xxB82b/3ds/gEDBnD4sLMPwogRI+jcuTO7du0iKCiIzz777KqOaUx+O3gkiemjN5H4yx5mtPyA2LY7CQytwjPdnmFsh7H4evt6OkSPkstd1ijqwsLCNDw8/E9lO3bsoGnTph6KKO8kJSVRtmxZzp07R/fu3fn4449p27atp8PyiOLyOzWetWFjPH/8ZQ/RjnB+bfQ9ZZv40qhBA17o+gK1K9TO/QWKERHZqKphF5eXnFv5xcjo0aPZvn07KSkpjBo1qsQmCmOuVWamMm/Gfo6/H8OqGj+wPTicKs3L0bdZH8Z2GIt/KX9Ph1hoWLIogr7++mtPh2BMkZeYks6sNyI5tziKBSHTOVP7GEHNq/Bwx4e5scGN1sPvIpYsjDElTtTBM/wyYTuxRzayuNUcfIOF5i1CeKHrCzSo1MDT4RVKliyMMSXKqhVxbHl1F+vK/cDWpuuo1KQMvVv3ZFzHcZTxLePp8AotSxbGmBIhw5HJd5/tIW7adhbWm87JavHUalGJR65/mAEhA+yyUy5KXLJQVTspioni2pPP5L2TSanMeSmSmM1r+KXZHLyrK63aNmJCjwk0rNTQ0+EVCSUqWfj7+5OQkEDlypUtYRRxqkpCQgL+/tZbxeRs975TLH5uC+GO+WxpvIZywQHc0Lk34zuOt8tOV6BEJYugoCBiY2MpzHNdGPf5+/sTFBSUe0VTIqkqvy2OZdPbG1lSYzrHr4ujWrPrGNv7EQaGDLQ/GK9QiUoWPj4+1KtXz9NhGGPyWVpGJrMn72T7j7+xJHgOmRUzaBEWwot9/1IspzwtCCUqWRhjir9jp1KY/UIE6+Nms7nhGgJq+HFzz/6M72yXna6FJQtjTLGxeUsCv7y8iqVlv+RYrcNUblie8YPG2mWnPGDJwhhT5KkqP86KYuXUH/ktcC6O0uk0bduQlwf91S475RFLFsaYIi0pJZ1v3ohgReR0ttbZgN91pRja+0ae7PGkXXbKQ7kmCxFpBHwIVFfVFiLSCrhZVV/P9+iMMSYH0TGJzPzLbyzxnkJC9aNUrF2WZ24dx4BG9pBdXnNnPotPgBeAdABV3QIMz8+gjDEmNyuWxPL+E58xp8w7nCgfT7O2IXz+6EcMbGz3J/KDO5ehSqvq+os+/Ix8iscYY3KU7shk5vubWbjqM3ZU/4NSZb25re9gnuw73oYUz0fuJIvjItIAUAARuQ2Iy3kXY4zJe8dOJPPZiz+zOPkLTlY5TvnqZfnrXc/Qr1E/T4dW7LmTLMYCHwNNROQQEAXck69RGWPMRbb8cYxP/3cqayrMJ7OMg6ZNG/Pmva+WuJnsPCXXZKGq+4G+IlIG8FLVxPwPyxhjnFSVudMj+Xrh++yruA1vfy+G97mN8QNsXuyCdNlkISJPXaYcAFV9J59iMsYYABLPpTP51QX8FP8pZ8qfovx15Xh11AR6Nunp6dBKnJxaFuUKLApjjLnI7t0neeefH7DB7yfUX2lWvylvP/watcrX8nRoJdJlk4WqvnotLywitYFpQA0gE/hYVSeJSCVgJhAMRAN3qOpJ1z4vAA8CDmCcqv7sKm8HTAECgIXAeLXJDIwpllSV+d9t5dN5/yK29F68fIW7egzniWGPUsrLniP2lFyfsxCRqSJSMcv6dSLyuRuvnQE8rapNgU7AWBFpBkwAlqpqCLDUtY5r23CgOdAf+D8R8Xa91ofAaCDE9dPfzfdnjClCktMy+Mers3hr0TPElt5LhXIVeO/RiTxz6+OWKDzMnU+/laqeOr+iqidFpE1uO6lqHK4utqqaKCI7gEBgCNDTVW0qsAx43lU+Q1VTgSgR2Qt0EJFooLyqrgEQkWnAUGCRO2/QGFM0REWf5LV/TiRCliE+0LpOKO+M+zuVylTydGgG95KFl4hcl+VSUSU397tARIKBNsA6nMOGnE8icSJSzVUtEFibZbdYV1m6a/ni8uyOMxpnC4Q6depcSYjGGA/64cdNvP/dmxzzOUSpUt7c1+M+xtx2vz2JXYi486X/L2C1iMx2rd8OvOHuAUSkLDAHeEJVz+Twy89ug+ZQfmmh6sc4nwkhLCzM7mkYU8ilZTj4x9vTWBg1jXSfNCoFVOHt0X+nbdNWng7NXMSd5yymiUg40BvnF/ctqrrdnRcXER+ciWK6qn7nKj4qIjVdrYqaQLyrPBbI+nRNEHDYVR6UTbkxpgiLOZTAhP99nZ1p6xFvaF+zM/96+mXKlbGOmIXRZW9wi0h517+VgCPA18B04IirLEfibEJ8Buy46JmM+cAo1/IoYF6W8uEi4ici9XDeyF7vumSVKCKdXK85Mss+xpgiaO5Paxj52v3sTFuPj5cPY3uM5z9/e9sSRSGWU8via2AQsJE/X/YR13r9XF77euBeYKuIRLjK/gK8CcwSkQeBAzgva6GqkSIyC9iOsyfVWFV1uPZ7lP92nV2E3dw2pkhKS8/gb+/8H0uiviVTMqnhE8hbj7xOy+aNPB2ayYUU18cVwsLCNDw83NNhGGNc9hw4xDPvvMSBlJ0A9Kh+A/+c8BwBAQEejsxkJSIbVTXs4nJ3Jj9aqqp9ciszxpjLmb7gJyYvfIeUzLOU1jI83vtJht95k6fDMlcgp7Gh/IHSQBURuY7/9koqD9jz9saYXJ1LS+HZd95idczPoFDPqwlvjX+Fho1tpNiiJqeWxcPAEzgTw0b+myzOAB/kc1zGmCJuy/49PD35rxw/F4uXejGg+m28/OJYSvnZk9hFUU5jQ00SkcnAX1T17wUYkzGmCFNVPvp+Jp8t/QhHRjrXZVTmyRufY/DtXT0dmrkGOaZ4VXWIyADAkoUxJlcnz51i3KRX2HZgAyi0zOzIGxP+Qu2GVTwdmrlG7rQHfxGRW4HvbKRXY8zlLNu6hr9NeZ2ks6fwc/hxS837ePqv9+Dtm+t4paYIcCdZPAWUATJEJAXXcxaqWj5fIzPGFAnpjnRe/2Yy89fOhgwITAnm6WET6DWkpadDM3nIneE+7JFKY0y2ohJiGP/BXzkYtx8vFa533MRfXx1Htbr2tVHcuNUtwdV1NgTwP1+mqsvzKyhjTOGmqsxY/T3vznmP9HNpVEi9jrtDxvDgc/3xKmWXnYojdx7K+x9gPM4B/CJwTmS0BufAgsaYEuZM6hmen/o6a7esggxoltSOJ+9/irA+wZ4OzeQjd1oW44H2wFpV7SUiTYBrmnLVGFM0rY/ZwITPXudk/HH8HP7cwJ089a97qVjdhuwo7txJFimqmiIiiIifqu4Ukcb5HpkxptBIc6Tx7qIPmbn0WzRZCUyqy8h2j3Pb+I54edllp5LAnWQR65qD+3tgsYicxOaTMKbE2H9iP89MeZmovfvxcnjR+fSNjBn3MM27VMt9Z1NsuNMbaphr8RUR+Q2oAPyUr1EZYzxOVZmxcTb/nvMhaSdTqZRShUHlHuB/PupPuYp+ng7PFDB3e0O1BbrinMdilaqm5WtUxhiPOn7uOC/N/gdrwtdDmtIqoRN3D3iIfvc1tnmxSyh3ekO9hHOCovPTon4hIt+q6uv5GpkxxiOWRy3nlelvcfLQSUqnlaHv2Tu5/7VbCW5a0dOhGQ9yp2UxAmijqikAIvImsAmwZGFMMXI27Sz//vUDvlv6A5mJmdQ71ZihDR/kjr92xN/fRoot6dw5A6JxPoyX4lr3A/blV0DGmIK3LX4bf5v5BjG7DuCdVooe8UO446HhdBoY5OnQTCHhTrJIBSJFZDHOexb9gJUi8h6Aqo7Lx/iMMfko3ZHO1PBpfLLgK9KOpVH9bCD9vUcy4oNeVA8s4+nwTCHiTrKY6/o5b1n+hGKMKUgxp2J4Zf4/2LIxEk1VOsT1ZkDvEQx8rAmlvO3ZCfNn7nSdnVoQgRhjCoaq8v2O73n3+w9JOniWCsmV6Xd6BEP/dgPNwip7OjxTSNldK2NKkOPnjvPm4rdYtnItjkQHLePb07vBXdz6fijlyvl6OjxTiFmyMKYEUFV+j/md/53/Lkd3JxCQXJrecbfS76Gb6Da0tj07YXKVY7IQEW/gTVV9toDiMcbksTOpZ3h/5WTmL/uFtGPpNDjZlN6+dzHkow4E1inr6fBMEZHjXSxVdQDt5Cr+7BCRz0UkXkS2ZSl7RUQOiUiE62dAlm0viMheEdklIjdmKW8nIltd2967mliMKak2HNrA/dMe4rv5C9GjQt/oW7m709M89EUPSxTmirhzGeoPYJ6IfLchUpQAABxcSURBVAucPV+oqt9dfhcApgCTgWkXlb+rqhOzFohIM2A40ByoBSwRkUauZPUhMBpYCywE+gOL3IjbmBIrOT2ZT8M/ZcaSuSQfTiXwTDC9E++i7+sdaRlWxdPhmSLInWRRCUjgz5MdKf8d/iNbqrpcRILdjGMIMENVU4EoEdkLdBCRaKC8qq4BEJFpwFAsWRhzWZHxkbz5y9vs+GMfJAndDg4gLHQAQ19sQbkyPp4OzxRR7nSdvT+Pj/mYiIwEwoGnVfUkEIiz5XBerKss3bV8cXm2RGQ0zlYIderUyeOwjSnc0h3pfLXlK6Ys+ZrEqHNUTaxJn/gRdHmiI9f3D7Sb2Oaa5PrkjYg0EpGl5+89iEgrEfnrVR7vQ6ABEArEAf86f5hs6moO5dlS1Y9VNUxVw6pWrXqVIRpT9Ow7sY/Hvn+cD2dOIXHfOToc7MVtAc8wcmp/ut4UZInCXDN3LkN9AjwL/AdAVbeIyNdcxUCCqnr0/LKIfAIscK3GArWzVA3COcFSrGv54nJjDJCRmcHs7bP5dOlUTu5JpHxSJfrG3kHrezpx08gGeHtZkjB5w51kUVpV11/0l0nG1RxMRGqqapxrdRhwvqfUfOBrEXkH5w3uEGC9qjpEJFFEOgHrgJHA+1dzbGOKm4OnD/KvFf9i7boI0o6nExrXhfZ+g+g9uTWNm9hw4iZvuZMsjotIA1yXf0TkNpyXkHIkIt8APYEqIhILvAz0FJFQ12tFAw8DqGqkiMwCtuNMRGNdPaEAHsXZsyoA541tu7ltSrRMzWT+rvn857dPid95irKJFRgUfTuNBnZg8OONCPC1Z21N3hPVy94CcFYQqQ98DHQBTgJRwN2qGpP/4V29sLAwDQ8P93QYxuSpI0lHeGfVO6xaG07ykVSaHw2jU8YQuvytJW3a2306c+1EZKOqhl1c7k5vqP1AXxEpA3ipamJ+BGiMuTxVZdHeRXz0+8ccjkzA/0wZhkQNp37XTtz8fBMqlLFxnUz+cmda1co4LyF1BVREVgKvqWpCfgdnjIH4s/FMWjOJ5evXcvZgCo2Ot6TrmVsJfbEZ1/euZT2dTIFw5+LmDGA5cKtr/W5gJtA3v4IyxjhbE4v3L+bD5R8Ru+04Pqf9GBh1F8EtOjPoo6ZUrxzg6RBNCeLWE9yq+vcs66+LyND8CsgY4xxK/L217/H7htUkxSTT4HgLuh0fRqPHmtBvaF28rEusKWDuJIvfRGQ4MMu1fhvwY/6FZEzJpar8GvUrH678iANbj1LqpB83RQ2nTkgnBkxqRlBNm+rUeIY7yeJh4CngS9e6N3BWRJ4CVFXL51dwxpQkCecSmLx+Mr9tWElidDL1jjeh+9FbqTe6ETfdWc+mOjUe5U5vqHIFEYgxJdX51sRHqz7iQGQ8klCKG6Nup27tTvSd0pQGwfb3mPE8e3rHGA86fu447697n+UbV3MmOpngY43peeQWAkeGMGhUQ3xLWWvCFA6WLIzxAFVlyf4l/Gf1fzgYeQyvBB9na6JmR3p+2oTGITZchylcLFkYU8AutCY2reZMVDL1jjWhR9wwat4dwqAHGuDv4+3pEI25hDsP5U0EvlDVyAKIx5hiS1X5ed/PfLLmEw5FHkcSfOgfdQd1qneg+6dNaNrIWhOm8HKnZbET+FhESgFfAN+o6un8DcuY4uVo0lEmrZvEmogNF1oTPQ/dQrV7GjD4gQY2+J8p9NzpDfUp8KmINAbuB7aIyCrgE1X9Lb8DNKYoU1UW7F7A52s/5/COE3gf92VA1HACa7Sj26eNad6kkqdDNMYtbv05IyLeQBPXz3FgM/CUiDysqsPzMT5jiqxDZw4xad0k1kf8QWJ0Mo3iW3H9kcFUv6c+g+631oQpWty5Z/EOcDOwFPiHqq53bfpfEdmVn8EZUxQ5Mh3M2zWPqeumcWT7SXwSAhi8/x5q1m5D988a270JUyS586fNNuCvqnoum20d8jgeY4q06FPRTFo7iU1btpIUk0LTI23ocmww1e8PZtC9DfArZT2dTNHkTrKIAJpcNAzyaSDGbnQb45TuSGdW5Cy+3jCDYztP459QlqH7h1Otfit6T2xMSL0Kng7RmGviTrL4P6AtsAUQoIVrubKIPKKqv+RjfMYUeruO7+Lfa/5N5NbdnI1NoWVcJzqeGEDN/6nLgBH17SlsUyy4kyyigQfPP2chIs2AZ4G/A98BlixMiZSSkcJXW75i9obvSNiVSLkT13HbvpFUbtGcG95rTHBtG1bNFB/uJIsmWR/IU9XtItJGVffbDF2mpPoj7g/eX/M+u7dFk3I4nbaHu9H2bD/qPFGPG4bWsRFiTbHjTrLYLSIf4pwxD+BOV5kfkJ5vkRlTCCWmJvLJpk9YtOkXTu45S+WE6gzdfxsVOzVm4ITG1Kxa2tMhGpMv3EkWo4AxwBM471msBJ7BmSh65V9oxhQeqsrymOX8Z+1/iIo8jCNe6XLwBppqD5q+Wp8efQJtLmxTrOWYLFwP4/2gqn2Bf2VTJSlfojKmEIk/G88H6z9gRcQaTu8/R2BCPXrH3EKlGxow6MnGVCrv5+kQjcl3OSYLVXWIyDkRqWDdZE1Jk6mZLNi9gC/WTuHwjgQkoRR9Y4ZRv2xn2v67Ie3bV/N0iMYUGHcuQ6UAW0VkMXD2fKGqjstpJxH5HBgExKtqC1dZJWAmEIyzl9UdqnrSte0F4EHAAYxT1Z9d5e2AKUAAsBAYr6rq9js05ipEnYzivbXvsXHzVs4eTKbhsRZ0ixtCtTvqM3B0A8r4+Xg6RGMKlDvJ4kfXz5WaAkwGpmUpmwAsVdU3RWSCa/15V3fc4UBzoBawREQaqaoD+BAYDazFmSz6A4uuIh5jcpWakco3275hxrpZJOxOJOBkOQZH3U5g3Tb0+KIRjRraUB2mZHJn1NmpIhIA1FFVt8eCUtXlIhJ8UfEQoKdreSqwDHjeVT5DVVOBKBHZC3QQkWigvKquARCRacBQLFmYfPBH3B+8v/p9dm6LIvVIOq3jOhF25ibqPVKffrfVte6wpkRzZyDBwcBEwBeoJyKhwGuqevNVHK+6qsYBqGqciJy/6BuIs+VwXqyrLN21fHH55WIdjbMVQp06da4iPFMSnU45zccbP2ZR+GJO7ztH5VPVGRp1C9U6NqP/842pYd1hjXHrMtQrOAcMXAagqhEiUi+P48iuz6HmUJ4tVf0Y+BggLCzM7muYHP13HuxPOLD9KHoCrj94I829etLqjYZ06lbDusMa4+JOsshQ1dMX/ae52i/ioyJS09WqqAnEu8pjgdpZ6gUBh13lQdmUG3NNDp4+yOR1k1m9MZxzsSnUORFCz9ih1BraiJvGhlDW325gG5OVW0OUi8hdgLeIhADjgNVXebz5OB/ye9P177ws5V+75s6oBYQA611ddxNFpBOwDhgJvH+VxzaGNEcaM7fNZPqamRzffRq/0wHcFD2c4Nod6fF5I0JC7Aa2MdlxJ1k8DrwIpALfAD/jHEQwRyLyDc6b2VVEJBZ4GWeSmCUiDwIHgNsBVDVSRGYB24EMYKyrJxTAo/y36+wi7Oa2uUqb4jYxedUHbN+8j7Tj6bQ80oGOiQNoNKYRvYbVwdvLLjkZczlSXB9ZCAsL0/DwcE+HYQqBE8kn+GTjJ/y4ZjFJMSlUPlONPjHDqNOtNf2faUSliv6eDtGYQkNENqpq2MXl7vSGaoRzLKjgrPVVtXdeBmhMXsvUTBbuWcjHKz7n8I7jeJ3xoltsf1qU6UXnfzemRZsqng7RmCLDnctQ3wIfAZ/ifLramEJvT8Ie3l81mfWbtpB2NI16J5rQ/dhQGo9qRp+7g/Gx6U2NuSLu9ob6MN8jMSYPnE07y9TNU5m5fC6J0cmUPVue/tHDCWnbiRveD6FqNXtmwpir4U6y+EFExgBzcd7kBkBVT+RbVMZcIVVlWfQyJv/2ETHbD6OJEBbXjbBS/en0z6a06miD/hlzLdydzwKcU6mep0D9vA/HmCt34PQB3ls5mRXr15Men06tM3XpdeQWWt7dhl4j7ZKTMXnBnbGh8vppbWPyRHJ6MtO3TufLpbNIjDlHQHJpeh0YSmjrnvR9tzFVqgV4OkRjio3LJgsReU5V33It366q32bZ9g9V/UtBBGjMxVSVVQdX8e4vHxC9PRY9l0mro53o7DOIbv9oSbP21svJmLyWU8tiOPCWa/kFnL2izusPWLIwBe7g6YNMWv4Bv69bQ8bxDGqcDaJn/DA63NORbnfZyLDG5JeckoVcZjm7dWPyVXJ6Ml/9MZ0pS2Zw7lAyAaml6Rl7M53a30C/9xtRvqJNbWpMfsopWehllrNbNyZfqCrLY5YzccEHxO45jKQqrY52oFu5ofR9pzXBzWwsJ2MKQk7JorWInMHZighwLeNat/ERTL6LPhXNWz+/x9qN4egZBzXOBtH79K30HH09YQNr2fDhxhSgyyYLVbX+hsYjktKS+HTtFKYvnUNGfBoB6aXpFjeA3n0H0mtMA3z97NQ0pqC585yFMQUiUzNZuGsR78z7iBMHT+CVAW2OdKFPvVu56fXWVKphXWGN8RRLFqZQ2B6/nde+e4edO3ciKUrtM/W4wet2Bv6tG/XbVfJ0eMaUeJYsjEclnEvgrYUf8Mv6xXAmk/JpFehxajBD7hpE21sC8fKyrrDGFAaWLIxHpDnSmLJ6Bp/9/CVpCecolelN2LHeDO02nF6PNMY3wE5NYwoT+x9pCpSqsnT3ct789j2Oxx1BHBBysgWD645gyN87Ub6adbQzpjCyZGEKzM5je3hl+jvs3LcFSYdq52pwo98djHipP7WaV/B0eMaYHFiyMPnuZPJJXps5md82/4IkZ1I6ozTdkwdy7/130qxPDXtewpgiwJKFyTdpjjTeX/gVM37/moykZLzVi3ZnunPPTSPpeldjvErZzWtjigpLFibPqSrfrv2ZD+Z9xJnTx0ChQVJThoeOYuiYLpQqbQ/VGVPUWLIweWrlzj948+v3iD2+G8mEask1GBp0F/e+NpCydvPamCLLkoXJE3viDvLaF5PYemgN4oAyGWW4ocxQxj59L1VCynk6PGPMNbJkYa5J/JlTvPHZR6zcu4hMRwY+6k1n6cu4hx6kYcdAT4dnjMkjHkkWIhINJAIOIENVw0SkEjATCAaigTtU9aSr/gvAg67641T1Zw+EbbJISk1h4tQvWbTlW9IyzgLQKqM9Y28ZTfubmloPJ2OKGU+2LHqp6vEs6xOApar6pohMcK0/LyLNcM7a1xyoBSwRkUaq6ij4kE16hoMPZ33P7NXTSMxw/vrqOhrwUI/RDLjresTLkoQxxVFhugw1BOjpWp4KLAOed5XPUNVUIEpE9gIdgDUeiLHEcmQqX/+wjC+XfMKx9BgAqmRW4542o7j7/kGU8i9Mp5IxJq956n+4Ar+IiAL/UdWPgeqqGgegqnEiUs1VNxBYm2XfWFfZJURkNDAaoE6dOvkVe4miqsxbspEp8z8hJn0bAGW1LMMa3cGYh+/Gv6z1cDKmJPBUsrheVQ+7EsJiEdmZQ93srmtkO62rK+l8DBAWFmZTv14DVWXJyp18/u1n7EpbgwJ++HJjncE89fD/UKFyeU+HaIwpQB5JFqp62PVvvIjMxXlZ6aiI1HS1KmoC8a7qsUDtLLsHAYcLNOASRFVZsS6aKV9PYWvqMjIkA2/xonvNPjxz/yPUql3D0yEaYzygwJOFiJQBvFQ10bV8A/AaMB8YBbzp+neea5f5wNci8g7OG9whwPqCjru4U1XWbTzElC+nE3HuF1K9U/DyhrAqnXh+1BgaNmjg6RCNMR7kiZZFdWCuq2tlKeBrVf1JRDYAs0TkQeAAcDuAqkaKyCxgO5ABjLWeUHlHVdmw6QhfTZvFprOLOFsqEa9S0KxyC54Z8Rhtmrf0dIjGmEJAVIvnpf2wsDANDw/3dBiFlqqycVM8M6Z8T3jSj5z2S8BLoG7l+jx9y1i6tOloz0oYUwKJyEZVDbu43Po7ljCqyoYNR5k7dRHhST9wPOAoXv4QWDmIcTePpl/73pYkjDGXsGRRQmRmKuvWHOHHL5cSfvYHjpaJxas0VK9cjUcHPsigjjfh7WWjwRpjsmfJopjLcGSydsURFn+1jI3JCzhULgavclClSmUeumEkwzoPwcfbx9NhGmMKOUsWxVRaRiarlhxi2TcriUhfxIHy+/CqAJWqXccDfe/i1k634F/KHqgzxrjHkkUxk5yWwfIfYlk7ew1/8BMxFfbiVVaoVL0io/oM57YOt1Lap7SnwzTGFDGWLIqJxJR0fp8Rw6b569nk97MzSZQSKtWowMg+d3Jbu9so41vG02EaY4ooSxZF3IlTKSz7Mpptv2xgU9klxFTbi5ePUDmwIvf2voNbWt9COT+bfMgYc20sWRRRhw4nseKLaHatCGdjpaUcDNyPt59QrXYl7u51O8NaDLMkYYzJM5YsipjdO0+y7rNo9kWEs6HabxwOjsG7tBe16lZleI9bGdZsGGV9y3o6TGNMMWPJoghQVf5YFU/E1ANERW1gfc1fOdYwDu9y3tSpV4MR3W5ncKPBdk/CGJNvLFkUYukZDtbOP8Surw+y5/Q6wgN/52TIcUpVKkWDBnW4q/Md3BRyk3WBNcbkO0sWhVDSmTRWfRVDzLxYtnutYWPNFZytfgbfqr40b9yQEWF30rd+X3y9fT0dqjGmhLBkUYgciUpi3RcxHP7tAJsrriKizhrSAlIJqOlHh6atuLP1HXSr241SXvZrM8YULPvW8TBVZe/qBCKmHuTQtn1sqrGSHc02kVlWKRPoT7fmnbm9xe20r9XeBvgzxniMJQsPcaQ42DTnEPtmxbH/5A421lzB/tY78aroTcXapendohu3NL2FplWbejpUY4yxZFHQzsQms3HaQWJ/imOb30b+qLmK+NpH8KnqQ2DdKgxofiNDGg8hsHygp0M1xpgLLFkUAFXl8KqTbP4qlkMRsWysupotjdZxrlwy/jV8aVo/mCFNB3NTw5uo4F/B0+EaY8wlLFnko4zEDHbPPcLubw+z4/QONldfw57QSBwVoWygPz1CwhjaeAhd63S1YcKNMYWaJYs8pqqc3XmOrV8fInrZYTaV3kBE9TXE1z2KV9VSVAoqR7/G3RnSeAhNqjSxm9bGmCLBkkUecaQ4iF98gu0zDxN5YBcbK69hR9MIksum41fdl0bBdRnadCA3NryRKqWreDpcY4y5IpYsrlHKwRRivjvK9oUxrJF1bKm6niMtD5NRwYuytfzp36gDgxoN4Po619vzEcaYIsu+va5CZkYmZ9acYdesQ6zZtZH15dexp+42UkpnQOVS1Kpdg1tb9uemhv2pXaG2p8M1xphrZsniCqSfSufYjwksn7+JlWmr2XLdJs40PE1aWcG3ui89GnfkjpaD6BTUyYbiMMYUK5Ys3JASk8KGGRH8tOlXwgM2En/dERy+kF7Ri6A6dRjeZgADG/ejRtkang7VGGPyRZFJFiLSH5gEeAOfquqb+Xk8VSVycyTzvv2JtXHriPU7DJUgLQB8qpSnb+sejGw3kNbVW1iPJmNMsVckkoWIeAMfAP2AWGCDiMxX1e15eZyUjBTWH1rPun3r+fX3lRw7dhxHpqJ+oGUDaNQgjOHX38TNzbrYcxHGmBKlSCQLoAOwV1X3A4jIDGAIkKfJIvpkHM/MfZX0vSmQAWXTy1O1fAs69urOqJ69qVHeJhcyxpRMRSVZBAIHs6zHAh0vriQio4HRAHXq1Lnig1TwrkHwhqbUOlGToPLNaDe2PZ0718Tfx/sqwzbGmOKhqCSL7G4K6CUFqh8DHwOEhYVdsj03FU/DQ4dHUa6WPx2mNMfLx+vKIzXGmGKoqCSLWCDrAwtBwOG8PkhAvQB6L2hLWnyaJQpjjMmiqHwjbgBCRKSeiPgCw4H5+XEg7zLeBNQLyI+XNsaYIqtItCxUNUNEHgN+xtl19nNVjfRwWMYYU2IUiWQBoKoLgYWejsMYY0qionIZyhhjjAdZsjDGGJMrSxbGGGNyZcnCGGNMrixZGGOMyZWoXvGDzkWCiBwDYq5y9yrA8TwMp7ixzydn9vnkzj6jnHny86mrqlUvLiy2yeJaiEi4qoZ5Oo7Cyj6fnNnnkzv7jHJWGD8fuwxljDEmV5YsjDHG5MqSRfY+9nQAhZx9Pjmzzyd39hnlrNB9PnbPwhhjTK6sZWGMMSZXliyMMcbkqkQnCxHpLyK7RGSviEzIZruIyHuu7VtEpK0n4vQUNz6fniJyWkQiXD8veSJOTxGRz0UkXkS2XWZ7ST9/cvt8Svr5U1tEfhORHSISKSLjs6lTeM4hVS2RPzjnxdgH1Ad8gc1As4vqDAAW4ZzWtROwztNxF7LPpyewwNOxevAz6g60BbZdZnuJPX/c/HxK+vlTE2jrWi4H7C7M30EluWXRAdirqvtVNQ2YAQy5qM4QYJo6rQUqikjNgg7UQ9z5fEo0VV0OnMihSkk+f9z5fEo0VY1T1U2u5URgBxB4UbVCcw6V5GQRCBzMsh7Lpb8od+oUV+6+984isllEFolI84IJrcgoyeePu+z8AUQkGGgDrLtoU6E5h4rMTHn5QLIpu7gfsTt1iit33vsmnOPIJInIAOB7ICTfIys6SvL54w47fwARKQvMAZ5Q1TMXb85mF4+cQyW5ZREL1M6yHgQcvoo6xVWu711Vz6hqkmt5IeAjIlUKLsRCrySfP7my8wdExAdnopiuqt9lU6XQnEMlOVlsAEJEpJ6I+ALDgfkX1ZkPjHT1SOgEnFbVuIIO1ENy/XxEpIaIiGu5A87zKaHAIy28SvL5k6uSfv643vtnwA5Vfecy1QrNOVRiL0OpaoaIPAb8jLPnz+eqGikij7i2fwQsxNkbYS9wDrjfU/EWNDc/n9uAR0UkA0gGhqurC0dJICLf4OzRU0VEYoGXAR+w8wfc+nxK9PkDXA/cC2wVkQhX2V+AOlD4ziEb7sMYY0yuSvJlKGOMMW6yZGGMMSZXliyMMcbkypKFMcaYXFmyMMYYkytLFsYYY3JlycKYQkpEmorIRyIyW0Qe9XQ8pmSzZGHMNRCRYBFJzvJQFSIyzjVHwfRreW1V3aGqjwB3AGGu1w5wzf2QVtKGxjCeVWKf4DYmD+1T1dAs62OAm1Q1yp2dRaQl8M+Lih9Q1XgRuRmYAEwGUNVkIFREoq89bGPcZy0LY66AiIwRkW0iEiMij2ez/SOcE0bNF5EnRWSniHzq2me6iPQVkVUissc1HhKqulVVB130E+/aNl9VuwB3F+gbNeYi1rIwxk0icivQD+e8A1WArThnMbtAVR8Rkf5AL6As8DZwOzAa5+CMdwFdgZtxjgM0NIfj9QRuAfxwjhFkjMdYsjDGfeOAh1Q1HYgTkXRyb51HqepWABGJBJaqqorIViA4px1VdRmw7FqDNiYv2GUoY9zgmneglarudq3XBI4DabnsmpplOTPLeib2x5opQixZGOOeZkAFEakvIl44b0i/7+GYjCkwliyMcU8bYDrwDbAFOKCqH3s2JGMKjjWDjXFPKLBAVWfmVlFVg12Lx4EWWcrvy7IcnXWbMYWdtSyMcU8oEJFNuQPn5anstuW58w/l4ZxxLrMgjmkM2Ex5xhhj3GAtC2OMMbmyZGGMMSZXliyMMcbkypKFMcaYXFmyMMYYkytLFsYYY3JlycIYY0yuLFkYY4zJlSULY4wxufp/FZ4CftEaGSsAAAAASUVORK5CYII=\n", +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "text/plain": [ "
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\n", +======= + "image/png": 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\n", 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\n", +======= + "image/png": 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\n", +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "text/plain": [ "
" ] }, "metadata": { "filenames": { +<<<<<<< HEAD "image/png": "/Users/MortenImac/Teaching/MachineLearning/doc/src/LectureNotes/_build/jupyter_execute/regression_131_1.png" +======= + "image/png": "/Users/hjensen/Teaching/FYS-STK4150/doc/src/LectureNotes/_build/jupyter_execute/regression_131_1.png" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 } }, "output_type": "display_data" @@ -1925,14 +2135,22 @@ "outputs": [ { "data": { +<<<<<<< HEAD "image/png": 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\n", +======= + "image/png": 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HZb6nEgxS5nvGeuPC5y9rb0ZlJPuQV0ZCWNbe7HlbiYiIiIiIiMxox7laHMMGDwNHebA737OttQkrO1oy0dmG+ihWdrSwqBgRERERERH5gmicq+AYNpg4VS0PduZ7aqe03dE5hz82IiIiIiIi8hWj+kXrV883fb2dci5UGphxlAe9eZ3ax+1OaSMiIiIiIiIqBqvjXBGOfcsTA0d5sFqziEsYEhERERERUSnIpzYvx77liVPV8qCk25ml4RlNaVuzoYcpfEREREREROQLVse5InbKuRQDp9E5w8BRntpam0y/aA31UdMfkJLCp7wnERERERERUTFYGeeK6I19rUxz85oyjU7JiOIY3DpOVSsAUaqfCFP4iIiIiIiIqFTlM83Na5xG5xwzjgpAlOrn9xQ+IiIiIiIiIjvymebmNY7BnWPgqEC0qX5KbSMtP6TwERERERERETnhdJqb1/w8jc7vGDhyid0iW8vam7PmVwL+SeEjIiIiIiKi0sQC0GIcgzvHwJEL9IpsHT12Cvv7B4U/WD+n8BEREREREVHp8UMBaL8GrjgGd46BIxfoFdl6ft/xzP9FP1i/pvARERERERFR6TEqAF2IsacfAldGOAZ3hququcBqMS1WbCciIiIiIiKvFLsANFcuK08MHLmgpips+bms2E5EREREREReMCr0HOuNe779YgeuyBucquYCSZIsP7dUKrb7dV4qERERERERiS1rb8bGHX3Cv23bc8TzMR5XLitPDBy54Mxw0tLzwhJKomK73+elEhERERERUa621ibdwNGZ4WRm7OrVGM/vK5cxQcIZTlVzgdXoqRSynplUTJyXSkREREREVJqsjk+9GOO1tTZhZUdLpg0N9VGs7GjxRXBGSZBQMqKU4FkhpvCVOmYcuUAUVRVJpuSCVbPPB+elEhERERERlSar41PAmzGeX1cuK/aKc6WMgSMXtLU24eixU+h+/TjSMhCSgLQsfm4pBF84L5WIiIiIiKg0KUEQ9ZSskdEkzo6kcp6rHuOV+zQuJkg4x8CRC2K9cfQciGeCRXpBI6A0gi9+n5dKRERERERE+rRZP9o6tkD2GC8IdW6ZIOEcaxy5QJTyJlIqwRc/z0slIiIiIiIie8zGeEGoc7usvRmVkewQSKmM0YuNGUcWmKXsGaW2KVHNUkv18+u8VCIiIiIiIrLPaIwXhGlcoil86jF6uU/VywcDRyaspOwZpbytXz2/cI0lIiIiIiIisiko07j0gmdBmKqXD05VM2ElZY8pb0RERERERFSqgj6mDcJUvXww48iElZQ9s5Q3O5geR0RERERE5A9BGZ+5OaYtRUGYqpcPBo5MWE3Zc6MmENPjiIiIiIiI/CFo47Mg17kNylQ9pzhVzUQhU/aYHkdEREREROQPHJ8FR9Cn6plhxpGJQqbsMT2OiIiIiIjIHzg+C46gT9Uzw8CRBYVK2WN6HBERERERkT9wfBYsQZ6qZ4ZT1XyE6XFERERERET+wPEZ0TjPA0ff+c53sHbtWgDAyy+/jM7OTixevBj333+/15suOW2tTVjZ0ZKJYDfUR7Gyo4VRTyIiIrKNfTAiovxwfEY0ztOparFYDE8++SQWLFiAkZER3HvvvXj00Udx4YUX4s4770R3dzfa29u9bELJYXocERER5Yt9MCIid3B8RuRh4OjUqVO4//778aUvfQmHDh3C/v37cckll2DGjBkAgM7OTuzatYudlhIR642zUBgREVEJYB+MiIgKhePEYPBsqto3v/lN3HPPPaivrwcAvPfee2hsbMz8ferUqThx4oRXmycXxXrj2LLzUKYw3OBQAlt2HkKsN17klhEREZEW+2BERFQIHCcGhycZR0888QQuvPBCtLW1Yfv27QCAdDoNSZIyz5FlOev/djQ21rnSzlJV6P1/6qUYRpPprMdGk2k89dKbWLrg8oK2hZ99cPc/yPsOcP+DvP9B3neyz8s+WENDrWvtLCX8DXqLx9dbPL7eC/IxLsQ4McjHtxCsHl9PAkfPPvssBgYG8KlPfQp/+MMfcO7cOfzv//4vwuFw5jkDAwOYOnWqo/cfGDjtVlNLTmNjXcH3f+DksO7jhWxLMfbdT4K8/0Hed4D7H+T9D9q+h0JSYIMTbvGyDzY4eAbptOxmc30vaL/BQuPx9RaPr/eCfoy9HicG/fh6TX18zfpgngSONm/enPn39u3b8corr+Af//EfsXjxYrz99tuYPn06urq6cMstt3ixeXJZQ300k36ofZyIiIj8g30wIiIqFI4Tg8OzGkda0WgU69atw1133YUbbrgBf/zHf4wlS5YUavOUh2XtzaiMZH9VKiMhLGtvLlKLiIiIyCr2wYiIyAscJwaHJMtyyeUcl1O6mt0q9MVK1/NDtfygpyoGef+DvO8A9z/I+x+0fedUNX/jVDVyG4+vt3h8vcdj7O04UXt8/TAmLSdFn6pG1ihV6JWCYkoVegC++wG0tTb5rk1ERERERERUPIUaJ5bS2LkcFWyqGuXa3t0vrEK/vbu/SC0iIiIiIiIi8heOnYuLgaMiEhUSM3qciIiIiIiIKGg4di4uTlUrIrMq9KI5nEsX1BW6mURERERERJQH1ufJD1dwKy5mHBWRURV6ZQ6n8uNQ5nC+8Oo7xWgqEREREREROaA3tov1xovcstLBFdyKi4Ejl8R641izoQer1u3Fmg09lk4Cba1NWNnRkomSNtRHsbKjBW2tTbpzOLfuPOhJ+4mIiIiIiMh9rM+THyVbazSZRkgaf0w9dibvcaqaC/Kp8K5XhV5vrub7J4fzbC0REREREREVCuvzOKcda6fliUwjBo0Kh4EjF+hFkB/bfdjxPFa9OZwygDUbevhDISIiIiIiKiBtnaLbb2pF68WTTV/H+jzOGWVrcTxcOJyq5gK9SPHZkZTjeayiOZzq7W3c0YdHf3HIWYOJiIiIiIjIlLokycYdfVnju4eeeMPS+G5uc4Otx2kCs7X8gYEjF1iNFNuZx6qtfyTy/L7jLKhGRERERETkAW1Ra63EWMrS+G5//6Ctx2mC3niY2VqFxcCRC4yyg7TsREbbWpuwfvV8w+ewoBoREREREZH7RNOktKyM75g14xxXU/MH1jhygTK3Uj3fNTGWwpnhZM5znURG9ebEAv442Wjn+rL+EhERERERlTorYy0r4zu98VxtdQRrNvRwHGVANNbmcSo8Bo7yYBQw0VZ/B5xHRpe1N2Pjjj7h34qdopfPinJERERERER+ZXQDHwCiFWFL47tl7c05Y0MAODOczCQbcBylT28lciocBo4cMguYuBkZbWttwtFjp/D8vuM5fxscSriyyprTrCG3qtwza4mIiIiIqDjYFxfTC/gAsLWqmjKee2HfccgGzxtNpvFwV1/mNUR+wcCRQ1YCJm5GRpdf34LLpk/GUy+9iYGTw1l/yzc6bTdrSH1h0WNnCh2zloiIiIiIioN9cX1myQCNjXUYGDht+j6x3jh6DsQNg0aKtAzh8Wdwj4qJgSOHilFzqK21CUsXXI7b/3FXznacZPko7GQNiabgidiZQudW1hIREREREdnDvrgxN5IBrBTZVtMefwb3qNi4qppDxVwW0O2glZ33s3LSs1vLyc+Fv4mIiIiIyhn74t5zcizVrzEK7hEVAjOOHBLNd3VjWUB1CmJtdQSyLOPsSCqTjrh0QZ1ukTanQSs772d20nOSNun2/hARERERkTXsi1sjmiq2dEGdpdeaFdkWCUnj22xrbWJwj4qOgSOHvFgWUJuCqFTYBybSEevrqlwJWqlPfDVVYUTCEpKpiVm3eu9ndGFZv3q+5e2reRWEIyIiIiIiY+yLm9ObKlZfV2WpOLZeke3a6gg+2jIVPQfiOX9T1zryQ3CPNZaCjYGjPLi9LKDZNLDRZBr/8dQB/PDuT2Se7+SHqz3xnR1JISyNn7jODCcN38+LC4sXQTgiIiIiIjIXtL64kwCI3lSxrTsP4jt3tplu0+wYXzZ9Mh7u6kNaUz1bmY5W7OAeaywRA0cqxY6iWkk1PH1uLJOyCEycfJT5rVbaKzrxpWQgWhHGA1+5xvC1Xl1Y3A7CERERERGRNUHpizsNgOiN0wZODmPNhh5L4yL1MVbGnRt39GVepw0aqbdd7OAeC6gTA0cfKmQUVS9ApWT8mFGCRE7bm+8c2aBcWIiIiIiIqHw4DYAYjdOUMZTV8VisN47Nzx7MlAkZHEpg87MHUVMVxtmRVM7z1bWOijUGY40l4qpqHypUpXolQKU9wcR645BlnTCzhpJh5LS9tdXieKHe40RERERERKXOaQDE6jjNynhs254jWbVlASCZkpFMjU8/01JqHcV645ba4IVirihO/sDA0YcKFUU1CviIIswiRlX5rbRX78Rn9YRIRERERERUapwGQKyO0wDz8Zhe5lJiLIWVHS0ISbl/8yKhwY5l7c05QS0WUA8WBo4+VKgoqlHAx8q2ohVhLGtvzqu9eic+OydEIiIiIiKiUuI0AGJnTJjP+LGttcmw1lGxtLU2YWVHS2bfGuqjWNnRwvIlAcK5SR8qVKV6o6UURW0IS0B11cRqZ7ff1JpZ8tFpe/2wnCMREREREVEhOS0yLRqnRcISZBlIqSI9VsZjerWMaqrCAPw7VmOd22Bj4OhDhapUbxSgstKGxsY6DAyczqu9xV7O0UixV7YjIiIiIqLy5SQAojf2qq+rwiNdvbbGLrddNwubuvqgKXMESZIQ6437eqxGwcXAkUohoqhmAR87bXDa3mIv56inkCvbERERERERWSUaezU21mVmg9h5HwB4bPfhrMyjM8NJbNl5CCs7WrCyo8V3YzUKNgaO8uA0O6aYaX7aNt/ROcc3JyGny2MSEREREREVgno81TilGjdffamjDCbR4kjK2Gf96vm235MzN8hLDBw5lG92TCF+2OpthCTkFFrzW0ZPoVa2IyIiIiIisks7Bhw4Oex4PGU09lmzoSdrDGc2Xnz0F4fw/L7jWe/hp3EelT4GjhzKJztGFHTauKMPR4+dwvLrW3Keqw4wqYtj29mGXnX+fDN63AyA+bUQHBERERERlQ+nY5jHdh+2PAY024be2AeYCCopYzijQFCsN54VNDJrF5ETDBw5lE92jCjoBADP7zuOVw6ewNmRFBrqo5jb3ICeA/GsANNDT7yBFUtmmZ4A9LbhtM0ibtckYiE4IiIiIiLyktMxTKw3LlwNTXkPs21s3NGHjTv6MkEk0djHiF4gaHt3v+5rOHOD3BIqdgNKlV4WjJXsGKMfsHIyGhxK4Pl9x3NOJImxVNbJIdYbx5oNPVi1bi/WbOhBrDduug0nbRYxyrpyoq21CSs7WjLtaaiPYmVHC6PkRERERETkCqdjGKO/a8dTRjfx1YEq9dinpips2nbRGM9o3MeZG+QWZhw5ZCU7Ri890Sgt0QrltXqR7Md2H0ZtdQRnhpOm75VPRo8XNYmKWTiciIiIiIj8wY2SGKL3cDqGMfq7djxl9l7aItjKuM6MKBBkNLbkzA1yCzOOHDLLjlF+/MqPWIksx3rjef+AlW3qRbLPjqQwPJJEJCyZvk8+GT35ZF0RERERERGJGI2l8n2P2mpx7oTZGEbv77XVkZzxlN1ZKFbKjOjd8F/W3ozKSO6wfuG8abwhT65hxlEejLJjjFIg16+ej6PHTgmLmJmJVoQzJwyjSHZKBmoqQjivJmKrIr9Vsd44EmO5c3xZk4iIiIiIiPKRz0JEZu9REZFQGQnZrqsqmnESrQjjc9fOzHqe3jhJSx1cMstQMhrDKY95vWI3BRsDR3nSS6E0S4Fcfn0LLps+OfPa2uoIhkeSSKlWP6uMhDD/iibs7x8UrqpmNuXt7EgKD3613XbbreyzqJBbTVUYt11nXribiIiIiIhIjxslMfSee3YkhYXzpmXGWLXVEciyjI07+rC9u99WgEa74rXeOElLG6gyWl16/er5pvvKch/kNQaO8mBUkd/K0vLaH7iVQE5jYx2eeeG3mecZMUqRzGdFNL1UyqrK3DRNIiIiIiIiO6yMpZy+BwD0HIhjZUcLANgaE2nHb42NdRgYOJ35v944qbY6gmhFWHecl+/q0m7UgyIywsBRHoxSKPWWVxwcSuAL39krnDamPhEpP0rOgP0AACAASURBVH71ko1trU144dV3HEWx1e+pnromarvZScaLothEREREREQAMLe5Iaesh92SGEbL3Y8m09i4oy+vMZGI3njozHASD3zlmqwxnjq7yc50M22QaG5zA3oOxB0lBBBZxcBRHowCKNofv5pyctL7URtlAz310puOotja99SeIM32Sc2NOwBERERERERasd44eg7kFsGef4W96VjKczfu6NN9Tj5jIhGjcZLZjA8r081E7yGqm5tP8ItIhKuq5cFsVbG21iasXz3fMKCi/KjVHtt9WDeT6f2Tw8L3OTOcxPrV87Fp7aLMso5qVir1G+2TmqhyP4tiExERERFRvvTGLfv7B22/V1trk6Ob2zVVYduvAYzHSUazVayyOqYDOBuE3MXAUR6sBlDMfrTqv8d64zg7Iq7CPziUgE5Q3PSEaOXEYTX409bahJUdLZltNtRHsbKjxbcR7VhvHGs29GDVur1Ys6HH1jKeRERERERUOG6XxdBbrt5IYiztaMxgNE7Kd79ivXFbx4CzQchNnKqWB6tzUc1WP6utjmDNhp5M7SG7rAR89NqgzOu1W0StVCr351MEnIiIiIiICsto3LJq3V5H4xZgfFaH3g16rWRKdjzVS2+clE+5D2VMYxVng5DbGDjKk5UAilFhtkhYwvBIEmeGkwD059nqsXri1KvU7+dMITcYpYT6eb9FKyMsXVBX7GYREREREXlKb+xkVifWSFtrE7Z391sOHCnbMRLrjeOpl2IYODlsaUyWz8ppRlPUKiMhzL+iCfv7B7mqGnmGgaMC0GYmqbN8RkaTtk5gWutXz3fUhqCcUEpxBTi9LKn6uiq0Xjy5yK0jIiIiIvKO3thJzcqNYO2NWLv9f6NMICezGvIZjxm1vdwTAcgfGDgqEL3MpFXr9jp+T7vzVosxvUyUOVPINpTiCnB6WVJbdx7Ed+5sK1KriIiIiIgKQz1u0RsvGQVTRIEdPTVVYYwlZVuZQFZmNeiNg5yMhYzGNAwaUSF4Whz7hz/8IW644QbceOON2Lx5MwDg5ZdfRmdnJxYvXoz777/fy82XBKcBDLfnrVopIG23yLRywlZOckokvpDFqUtxBTi9C5veinpERERq7H8RUTnRGy+FJOiOK0SrVIuEJUCSJIwm05las1YW/jGb1eD2OKgUxzRUXjwLHL3yyiv47//+bzzzzDP4+c9/jkcffRSHDh3Cvffeiw0bNuDZZ5/Fb37zG3R3d3vVhJJgt8q/BPdXMYv1xrH52YNZJ7bNzx7MOrE5Ofm5seRkvkptBThA/+J4wZTqAreEiIhKDftfRFRu9MZLaRnC8YjRKtXARF+7pioMKSTl1Jqd29xgOlbQ668rj7s9DirFMQ2VF8Opanv27MEnP/lJSJL9pb7+/M//HFu3bkUkEsGJEyeQSqUwNDSESy65BDNmzAAAdHZ2YteuXWhvb3fW+jKg/Ngf7uozLYzdUB/FI/+wBAMDp11tw7Y9R5BMZW88mZKxbc+RrLm4dotM+6W+kCgltNhT6IzoFc5b0TG7iK0iIqJCctoHY/+LiMqBtq8+/4omdL9+3FKtI6PgTEN9NFMjds2GHpwdyR2XPL/vOC6bPlk4NlC3S0udAeTFOKhUVrWm8mQYOPrhD3+If/3Xf8Wtt96Kz3zmMzj//PNtvXlFRQUeeOABbNq0CUuWLMF7772HxsbGzN+nTp2KEydOOGt5CbAanGhrbcLGHX2G7+VlKqISZTd63MnJz6/1hZwUszN7PzeDUHqF8xZcNcP1oCEREflTPn2woPe/iMgZv9xYFfXVew7EdW+ya8cbRuMT9XjK6HnaYFSsN47Hdh/WzWTSHi+/joOInDIMHO3YsQP79u3D448/jo6ODixYsACf//znMXfuXMsbuPvuu3HHHXfgS1/6Et56662sO2eyLDvKZmps9P+y5C+8+g627jqMxNj4yWVwKIGtuw6jvq4KC66akfP8xinVGNCpYRMKSbjr/1yZeV1jY934++88iPdPDuOCKdVY0TFb+L75Uo61Xvsap1Trfh6339SKh554I3MMACBaEcbtN7U6/gzd+OyfeikmzJ566qU3sXTB5bbey+7nbNXSBXXCtpTCd98rQd53gPsf5P0P8r4HWb59MC/6Xw0NtbZfUw74G/QWj6+3rB5fr/q0TvzkuV8K++qhkIS0IHqkHY/ojVvqJlVk9a+Nxl8fDCUy76k9NqLtb/r64qzHvBgHBRWPl7esHl/TVdXmzZuHefPm4cyZM3j66afxzW9+E+FwGMuXL8fNN9+s+7r+/n6Mjo5i9uzZqK6uxuLFi7Fr1y6Ew+HMcwYGBjB16lRLDVUrhayLR7p6c04uibEUHunqFS6pfvPVl+pmHaXTMlovnoyBgdNobKzDMy/8NisKP3ByGA8+/jqGTo84uitQUxUWRs9rqsKZY33z1ZcKp0/dfPWlup9H68WTsWLJrJw7F8q+2NXYWOfKZ693gRg4OWz7/e1+zvlwa/9LUZD3HeD+B3n/g7bvoZAU2OCEiJM+mJf9r8HBM8JBWzkL2m+w0Hh8vWXn+BayT2sk1hvH6XNjwr+l0zIqIyHT8YjeuOXWT16e8zy98df59dHMc0XHRk00hnB7HBRUPEd4S318zfpgpoEjRW1tLT7/+c/jU5/6FB588EHce++9hoGjY8eO4YEHHsC2bdsAAM899xxuvfVWfPe738Xbb7+N6dOno6urC7fccovVJpQUN+e1KisG5FNvyMht183Cpq4+aMoc4exICms29GSlXWpPfsD4/GC9lFY/zsV1M3XUL3WciIiofNnpgwW9/0VEzhSrT6udHjcyKi6hAYzf1AYA5Sm11RF87tqZwrFGRUQyfV5baxOOHjuF5/cdz3pcWyLE7BjUVkeE4yE/joOInLIcOPrVr36Fn/3sZ+ju7sbChQvx05/+1PD57e3t2L9/P26++WaEw2EsXrwYN954I84//3zcddddSCQSaG9vx5IlS/LeCT+yE5xQ5vHqUVYMAManMLl9YtcGhbTvqa7/o53r62atoELRKz7tpIYU5y8TEZHX7PTBgt7/IiJnitGnFY0ljCTG0lkL+oyOpXOeo31Pvecpll/fgsumTzas7aR3bAAgEpYwPJLM1IYtlfEQkV2SLMu6OcfvvfcennzySfz85z8HAHz2s5/FLbfcgsmTC5euKFIK6Wqik1ZlJCRcNlGJUJtpqI/i9ptacf+214TF4WqrI4hWhIUnPavF7vTaol6BwMlz7dBrq5upim4V/7PzOecryKmaQd53gPsf5P0P2r5zqtoEP/bBOFWN3Mbj6y07x7cQfVpt/zsxltJdpEdLAqB39qmpCkOSJJwZTiIkQThOymd8Ijo2wPjYS5Ik4dQ6pR1+W7251PAc4S3XpqotWrQIV199Nf7v//2/uOaaaxwVUgwa9QmxtjqCioiEsyMpw5OG1UyhwaEEHnriDeHJ0CjaDUCYGXT02Cns7x/MCp7YyWZykvlkFrAxymJausC9wmhupY7qTeHjxYGIiPLBPhgRFZLXfVq72UVq2rpGWuparVZXXtO2zWi/jY7NX6/bK3xPpR3MQKJyYRg42rVrF6ZPn16otpQ87QnxzHASlZEQ7uicY3iiMEp/VAtJEBZmC0lAtCKUU+BaqXuk/Fv7N/V8XuWkVlsdEUb+RWmqdlNarUxtM6rfZHfFs0Lh/GUiInIb+2BEVGhe9mlFfXw9olkUopIaduQzPlH+LTo2FxiszKbIpxYtkV8YBo6mT5+O3bt340c/+hGOHDmC6upqzJw5E6tWrcI111xTqDaWDKdFq0U1d7SMIu1pGcJV0QB70fzRZBoVEUm4WsHc5oacom92awXpHZ9te46YXgxYbJqIiIKEfTAiKmXaLB6rffnKSEi34LXeCmhW3lNvfPLY7sN5LTq0omM2Hnz8ddOgGMcyVOoMA0c7d+7E/fffj7vvvhstLS2QJAn79+/Ht771Lfzt3/4tFi9eXKh2lgSnRatF6Y9Tp1Tj8O9PIS2PZxTNv6IpM61Mq6YqjKrKiGH2j9WT1dmRFO7onJPVlrnNDeg5EM+JxK/saMHKjhbLKa16bTgznDSd31yoYtNu1T4iIiLKB/tgRKWH/chxdqalqccxRsesrbXJUeBIGUeJ3jPWG8/75vuCq2Zg6PRI5nM3qrFEVMoMA0dbt27FI488gmnTpmUea25uxpVXXol7772XnRaNfFYjUKc/Kidb5aSTloGeA3HMv6IJL77xLlKas1FiLI0/n50d3AGyo+tmGU3qtmpTMdds6NGNxK9fPd/yBdHO3QY1pyue2VWqq8QREVH5YR+MqLSwHznB6rS0ykgIt103y/Lx0QvKGFHGUZdNn5yzHaWkh4idQI9oHOfG6s1EfmIYODp79mxWh0Vx6aWXIpFgup2WW8u8603p2t8/iElVkZzK/cmUjP39g6bZP0ZZROq2Wk0ttRsEsjIlT0tZJWHjjj489dKbuPnqSws695pzkotD+x28/aZWtF5c3NUciYgKKQh9MGZnUDlhP3KC0RhBGVs4+c23Xzktq0armiQBsiwOLul9DkbtHBlNItYbt/3ZceEcKleGgaNwOKz7N1kO1nKsVrh1ojAK1OitqTI4lDAsaCf622XTJ+e0FchdgU2P3ZRL0fEZGU3qpogunDftw+DW+N8HTg57eufGrQAZ5Ud0x+6hJ97AiiXW70gREZW6cu+DMTuDyg37kROMZmGsXz3f8fsuv75FN3Aky8CmtYuwSmeVM7326H0+Z0dSjs9JXDiHypFh4Ijsc+NEYXSyDYVDwsr9TubNitoqmpYm4jTlUrvNWG9cd75y9+vHLd8xcEM+Uw3JPaI7domxVCDv2BERlStmZ1C5YT9ygluzMETMjrPedLaQ4O77svZmw7pJPCcRTTAMHB0+fBh/9md/lvO4LMsYHR31rFFBZ3Syra+rElbuHxxKYM2GnrxTIY3uiignYjdTLo0K3enNYfbqzo2XFznKZjQ9gXfsiIjKvw/Gcz2Vm3LpRxr10axOL3VjFobetsyOs974QfS4lYLbPCcRjTMMHO3evbtQ7SAVo5NtY2NdVuV+NTfSvI1SNtPyxInZzci73jYLvSoB5yQXhtn0BN6xIyIq/z4Yz/VUbsqhH2nURwNyy1kYjTvymYVhZSqr3nG2e24xW7yH5ySicYaBI0mShIUZAeDFF1/ERRdd5EmjaOJkq0TbN+7ow/buftx+U2vmb2s29OSc6EaTaTy2+7DhRcvoboFZAWsvUjZF2wxLQCQiITGWHTny+s4N5yR7z2x6guj7EK0Il9wdOyKifJR7H6xcsjOI1Eq9H2nUR1P+Lfqb2/ucz1RW0bklEpYwMprEqnV7bY19KiMhzG1uwN0/fBFnhpMAxhfusbMSHFG5CN9333336f1xxYoVuPXWWwEAd911F2644YbM37761a9m/lZo586Vfoq2FUq0XTlRDSdSeO3Qe2g4rwozptbiJ88dFb5uLCljOJHKvOY3vxvMvEb0nuq/z5hai4bzqvB2fCjzHlrDiRSefulNvLT/OOomVWLG1FrDfXjgZ2/gJ88d1X2+dps1VWGk5PH9UKubVIH/Z3Fpn6itHA89NTXRsvju631vhxMpfOrqS3O+Dw31UXzx01fgzy6/oMAt9Y9y+eydCvL+B23fJUnCpEmVxW6GL/ixDzY8PAq36nKLzvWfu3am767xQfsNFlo5Hd98+nhesXt8jfpoRuOCT119qaP2KbTHTi8DaDiRwtQp1bbGMrXVEYyNpZH4cFwxnEjhtSMDGDqbwJ9edkHO80MSIGM80+ijLVPxy/3vYmR0Iqg0lpTxxm8H0DilGjOm1pbVd9iPeHy9pT6+Zn0ww4wj9aod77zzju7fyBtmRYLNUisV6gi9lQi+UUaTmlmKqp0VU9R3aNZs6MHZkdztVkUjvutQ2sEVZMZZSSHW3rFrbKzDwMDpgrSPiMgPgtAHK/XsDCJFufTxzPpoXkwvFR07o/bZGcsA4+MKJcik9vy+47hs+uTMc0Wf05oNPUimcs+3KRksmk2BEzL6oyRJwn+L/k/uMyscuay9GZURw48w5zV2ilFaeX91+qqWWbqrWVu13hesJldKnB6PciP6XnF6AhFRNvbBiEpHufTxjPpoXvXfRMdORNmWlbFMrDeONRt6sGrdXsNAlNMxidnfiMqR5YwjKjyzqL+oOFxiLCWMqiuvqakK4+xIbqppTVU45zHt++uxuzKK2YlWb78vmFJt+Dq/4woy48qheCQRkdfYByMqHeXSx7PSR3O7/2aWYaTdlt64RBnraDOYnG5bvX29vxEFiWHgKJ1O4w9/+ANkWUYqlcr8GwBSKfE8V3KPlSLB2tRK0clSfTdA7y6l3uPaVE83VikwO9HqFcxc0THb8HV+xxVkJnB6AhGRMfbBiEpHOfXxjPpoXvTfjI7d+tXzcx43K6xvNYNJ2YaRZe3N2PzswZzpamEJzJSnwDEMHB05cgQf//jHMx2Vj33sY5m/MU3ae6Ko/+03taL14sm2XqO+GyDKRjJ6XM3uCihOV0zR24cFV80o6To3XEGGiIisYh+MqHSwj+ec3WNnNtaxmuVlZ0yybc8RrqpGgWcYOIrFYpl/S5KUlTbNTkth2C0SHOuNG6aQ5nNHxO4Uo3ymJJVjRgqnaBERkVXsgxGVjnLq45mNJdzm5NgZjRP0xjq11RFEK8IckxA5ZBg4amtrE3ZOZFmGJEk4ePCgZw0j+6ys6CCK6gPA3OYGS9uwe/LkyTYbjwcREVnBPhhRaSmHPp7RWALwLjDm5rHTy2D63LUzS/7zISomw8DRzTffjH379mHRokW45ZZbcNlllxWqXWRA706A3ooOP9rRh407+gCMp1c2X1SPg2+fynpez4E4AGB//6DpBcGLOxGx3ji27jqIxNj4HVUJQMslk/HeyWHL0/SIiIjKBftgROQlUX9ebyyhjCMUopvTVrYTkoC0DOH4wc74wui5ogymuc0N2N7dj407+jzNoip0thZRIUmyybIdw8PD+K//+i889dRTOHfuHJYuXYrOzk7U19cXqo05SqnOjdsnkN7fn8KDj7+eE0Vf2dGSc1LPl/K+Vopva59nR6w3jh919cFsAZloRRgrlgR3TrHZNMVyFuR9B7j/Qd7/oO17KCShoaG22M3wDb/1wQYHzyCdDtZqb0H7DRYaj6+39I6vXn/ealFphTrgJBrrmK1wptQLAiBsz/wrmnJuaus9V28sYnXs4nTMphxjL8ZIxHOE19TH16wPZho4UovH43j66aexc+dO/NEf/RF+8IMf5N9aB0rly+P2CSTWG8fD/3lQ2GlrqI9iZDSJsyPurrSivSAodwpEzxOtfGCF3mptIkZ3KspdkE+cQd53gPsf5P0P2r4zcKTPD30wBo7IbTy+7hEFPpYuuFx4fPX63nr9fCOigNPCedOw/PoW3P3DF00X4KmMhFARkSyNYYyeqzcWMVoVWnl+PmM25TtsZTtkH88R3rITODKcqqb1wQcf4IMPPsDJkyfR0GCtJk6Q6aV7bu/utx3wUE5oeh22waEEImH3i2UqqajKfuhdTKwGfvJ9rbJ9sxRZP6SKOm2DH9pORET+wj4YEWmp+4xqSj+5vq4qq8yD3vMVdoNGIQnCbKLn9x1H/INzllZtHk2mMWr+NNPn6u2TlcfdGLPZ3T5RqTENHL377rt45pln8PTTTyMcDmPp0qV4/PHH8ZGPfKQQ7Stpbp5ARCc0tZAEJFPu3wXUuyBoWVmVTUu5eDmld0K3UiTc6+CMlTbYfd3SBXWutY+IiPyPfTAi0mM2DWw0mcb9P9mHv75xNtpamxDrjWPzswcNxws1VWFIkmQp4GM2tU1bT9VrNVVh4eNWVpR2Y8yWz8rVRKXAMHC0fPlyvPnmm7jhhhvwve99D3PmzClUu8qCmycQsxOXF5njduY6K3OOrTK72FklOi5mdw2cBnXscHrnwuh1Sxdc7krbiIjI/9gHIyIjZjeVASCdljN93G17jpjeZE6MpXH59PMsBX0qIpLlTKFCEK1CCeivsqYeu7gxZrOyHaJSZhg4+tWvfoVoNIonnngCP/vZzzKPK0vBvvbaa543sJS5dQKJ9cYdzTnOh2Qx00hhd7qYlYudmlFtJe02ze4auDmFUI/TOxdMcyUiIoB9MCIyZrVvqPRxrWQRJVOy5Uwht+uq5uvMcNJ07KE308DqmE1cR2p8RoCV7RCVMsPA0XPPPVeodpQlN04gmdpGBa5Fab1kujgab5bVYycQckfn+F3WrbsOIzE2cZHSntCVbeqprY5k2iIyOJRwbQqb0zsXTHOlIGJdL6Jc7IMRFU4pXIe0baytjlgKBgHBuAFZWx0Rjj2OHjuVszKb9rO1MmbTG9uo60i1tTb57ntD5BbDwNFFF11UqHaULScnEPWFwa1MI0myFwyyY25zbpFOo6wewN6qDdu7+7F+9XzU11Xhka5e3RO6WRbT8Mj4nQi94IzeBQewP4XNabYZ01wpaAoxdZSoFLEPRlQYpXAdErUxLAGRsGSpxqlbqy/r9aFFImEJsiwj5aAqRUiSkLY5cJFlWTj2eH7f8cz/jT5bszGb3tjm3x57zbfBRiI3hYrdAMqmXBiUk7IbQaPa6ggmRcUF49ywv38w6/9m08XsZlAp77XgqhlYv3o+Nq1dhPWr5+ecnM0uZCl5/KS/rL0ZlZHsr35lJKR7wXFawLsiMjHXurY6YmlJz7bWJqzsaMlkGDXURy29jqhUmQWZiYiIvFQK1yFRG1Py+I1YdZ9x4bxpOX1cYPwm723XzYLTBZgb6qPYtHYRlrU3I2TxPaIVIUdBIwBIyzJ0ShbpshoUc/rZGo0zlPFNrDdu+32JSoXpqmpUWHZr/xhpqI9i/er5AIBV6/a68p4i6hOp2XQxq6u0qSkXxBdefccw48jKXZDBoYRuOurGHX26r7FDVPh7dEx/n0Xp0crnVg5KIf2biod1vYiIqJhK4Tqk15bRpCzsV6mzbJT/v/ybdxGJhJEas5d1FJaAxFjK9lgi3+wmJ2UzrH5mTj5bs3GG2/VSifyGgSOfcesipUxvynfJeyvU9XeMAl92VmlTv0bZD3WNo8GhBDbu6MPGHX2ZaW+VEfNbE0pbRemoSnBD7zVWxHrjeLirLyejSu9iIko93vzsQTy2+zDOjqR8E2hxGvwphfRvKi7W9SIir/EGBhnJ5zpk5bvlxvfPKGixbc+RrPdP6ASGEmMyAPvBHCkkWa6lpBYOwXHGkV1KSQerKzY76WOIyklo+SnYSOQ2TlXzmZoq8ZQyq2mhynPnX9GEbXuOYOOOPk9PYurAzpoNPYbbUk/B0hMJS5ljoJ6mtb27X/dCqARpRpPmtyZE9ZgUoilskbCEkdEkVq3bizUbegxTUM0KmYuOjSjQlkzJmbs0fkh91U6ftNOmUkj/puLSmzrKul5E5IZ8rmEUDE6vQ4/+4lBWP1v03XLr+2fUljPDyaz3txvk0Rt7KKzUUBIpVNBIoZR7UBbDAcZvKkc08/Oc9jG05SREeNOLyhkzjnwk1htHQjClKSwBq26ag7bWJvT+/lRmula0IiwMpsy6eDJ6DsRdm/KmR8J4MAgwj/DXVIV1M3oUyl0YYCL7RwkwuBX8euXgiczKCkqmkt5ynbXVEQyPJLOCOEqWk5Pi3KKLiZX9UgItSxdcbnd3XWEU/DG7Y1YK6d9UXFy+loi8lM81jILByXUo1hvPmQ4G5H633Pj+xXrjeGz3Yau7Y1syvxllnlP660YL66jLZKjLQ4wmZYQlZFagy7ePocxYEJWl4E0vKncMHPnI9u5+YVQ/EhkPumzc0YfGKdWZE96aDT3CwNHh359ypai2mZrqSKYdRgGT8bnRaZwdEacBq0/gsd44NnX1QTkMg0MJbOrqgwTAjV06O5LKBILSqm2op08pbVmzoUf3ro0oiGQUDNG7mFhdncJJnSW3BuJGwR+z7XAaElnB5WuJyCu8gUFW2L0OGWVOq79bdr5/olWVa6sjODucdKUPrEcvo98v0jKwae0iPPqLQ8JgHZCdzS4qIh6tCOOBr1zjWpvUgcEPhhI4nze9KAAYOPIRvYtLYiyVOakPnBzOBDn0nl+IoBGATFDFLIsoMZYSBmDUxbsVj+0+DG3szGGGrC2iuz92Cuxt2XkoczdDKyRBd2U0K/OlAft1ltysK6QX/KmtjphuR7R/vCNDRESFwhsY5AWzvq/631a+f9q+m9KXd1JbqNCMMoHc0FAfRaw3jp4DxtP7zFY9c5sSbGxsrMPAwGnX35/Ib1jjyEesdmKUIIdXnR7tXGAjsd64aTuMsna08l2BIR/a9tg5vqPJNGRZFs6R/+sPpxmKaOdL11ZHcpZKtRtocbuukN7cf1mWTbej3T913SoiIiKvsY4aecGoj6j+bln9/rm5qnJlJGRat8guvVqrlZEQZl082dVtad9/WXuzpePTUB/V/VwYKCbKHzOOfMRq9gngLHIeDo0HhcZXVdD3ibkXZuoAmdne3Y+5zQ26qaNW78gAMC0UqFfTyS3a9tj5PIDxoNcdnXMMp26JpnapRSvC+GjL1MzxdzLNzO20fL25/xt39FnaDqchERFRsbCOmn+I+kBLF9QVu1mO6PURF86blvXdsvr9yzcjRlu3E4BuP82uykgoc9NP9Bl6VX+ppiqM266bhbbWJtN9UQfjjDLdrZZy4EqM5EfF/l4ycOQjoovLyGjStSycqsowxpIyzKoF7e8ftBw0GRxK4MXXxUEjI9q7LUqKruFrKkKoiIwvCVpTFcbIaBqpD3NjJQAtl0xG//8OObpjUxkJYW5zQ2ZlOOXHuLKjxbSo98R7SKZBI+3Urs3PHoSclrNqOvUciNvOyhHNi9eyO91Nuy/aaYV6x8Wvd3WKfbIlIqLi4A2M4tObRl9fV4VWDzNWvGInIKn+/il9EXWN/83b8AAAIABJREFUTCC/6V5KYOfosVPofv04Nu7oQ0iCa/VB1dnkot+SWwEqhaj+qZ3nA+LPxWopB7dLPhC5wQ/fSwaOfEZ7QhZV7XfKagBqcCiRc0E0uqBZrUGkzPNuqI9ibnND1oUzMZYy3cfT58ZQGQlh4bxpePH141nblQH89tgfsrKlrBaeVtqjXolO+TGu7GjJBExivXHDi+NoUs5ZbhXI7lxo91FUDN3JahuiefFqdtLyrZyYxlcAzP0++TX93w8nWyIioqDSm0a/dedBfOfOtiK1Kj92A5JGNxCNgkaRsCTsLyrmX9GEl/Yfx8G3T2Ue03u/sOSsdqi236S+Gec20Y1KPXd05paD0PtcrK5wx5UYyY/88L1k4MjntAGcQlAyRrR3SPIJYCmFsGO9cWzbcyRrapud/RpNptH9+nHhBTGZkrG/fzDrgqNkEBlZv3q+cGU47Y+xrbXJ1uegfb2d/RwcSuRkP+mlc+vN+9amLVs9qZidmPS+C+qUYr/xw8mWiIgoqPT6QO+fHC5wS4rH6g1ENbPyAADwysETlm8OV1dFEK0IOxpTjCbT2LijD1t3HUYymfJk8RpR1rpRW70o5cCVGMmP/PC9ZOCoBKgDOH//7zEMOLjIVkZCqKwIma7OoJcxYicDSe893cqeMtquskS8elWvzc8e1L0wKxcoox/jqnV7Mxduu3WP1O9rNQNK+1qzdG6j1fU2rV1keXtm76c8rheoqqqM+DYI44eTLRERUVDp9YEumFJdhNYUh90+h7oP93BXn27/105JizPDSchyfhEfL+uNisYgbq2MaPV9uBIj+ZEfvpdcVa3ErOiYLVydYeG8aVkrV2n/v7KjBZ+7dmbOa9VqqsKGtXXaWpuwfvV8bFq7yHLQSHlPYPyi58aUO72VHRRbdh7KzIdua21CtEJ/n5ULVLTCePUJJXhz9Ngp2Jkxrv4x5zOFS0nnNtuGlcfNmL1fKQZhuMoGERFR8eitLraiY3aRWlR4dvoc6ufGeuOwvt6xuUKsYBySJNsru2kLiyusrEwX641jzYYerFq3F2s29AjrIlld4Y4rMZIf+eF7yYyjErPgqhkYOj2SV5FfbdaQk/cwy56prY7gc9fOzExt2mRwp8SOsARIIQlpg/xY7RQkowuk0j4rd09Gk2nd1eP0qH/Mba1NeGz3YWF71J+F3XRuURZUPicSs/fzQ8TbLrePEREREVmnV0x6wVUzMDBwuuDtKcSCGdptaOtpAuP1i9SLpAC5q4Bt6urTnRYWlsann5nNKCi0tCyjqjKC266bZZqpb3b8zQqRW61jabWgOVdiJD/yw/eSgaMSJCqgra2HY3TyFS0Pv3FHH7Z391v+AhrNt1baoLyvW6s61E2qwNnhJFIWJlVbmSIWkib23wuSBBw9dirrB37xR+qyihcq2q+chuXXj2dm6dVl0kvndvtEYvZ+pRiE8cPJloiIKMj8srpdIRbMEG2j50Ac869oylrERek76fVPtnf3G9YSSsnwXdBIoV5sZ9ueIzntVFaDs3LMjb47dupYWv0O+uW7SqRW7O8lA0clLp+Ln5PXWllFYXAokRVUyjdopBTW/soDv0Ta4rzs2uqJr7ZeXaK0DNdWrBORZeQUAdc7bvv7Bw3bq03nFt0p065CkQ+jE1Nba1Nmyde0PB6Am3+F/y+wxT7ZEhERUfEVYsEMvW1oF3FR6G3Xz2UAzCh9caX/5VWWVymWUCAqRQwclbh8Ln52X+tWcWs7KiMhzG1uwN0/fNHWHRV14T9lX0SFBQu5L0aUVdS0d5lE6dxGAT/R67xIve45EM8cy7QM9ByI47LpkxmYISIiIl+zEmjIN8jhNJih3W5NVbggNYm8oC3CbeUGnpPjXoolFIhKkafFsR966CHceOONuPHGG/Hd734XAPDyyy+js7MTixcvxv333+/l5gMhnyi73dfqrablFSWTpedA3HYarvYi29baZLvG0rSG7Klh4ZCESNjN8oTZlACQqKCfml7A77Hdh7Fl56Gc1djM3s8uo4AjEREVH/tfRPrMFsxQbtDl058y2oZeIWfRdhNjaVcLYzshOWyA3YCX0+Puh6LBREHgWcbRyy+/jJdeeglPPvkkJEnCF77wBXR1deF73/seHn30UVx44YW488470d3djfb2dq+aUfbyibLbfW2hUz7T8vgULifBKtE+1FZbKx4YkoBZF0/Gkd9n1yJKpWVIkvX3cWI0mcaWnQcxmpyIcikXzvq6KrRePFn3cxBdoJWAkptZSEwJnlCI4ppERHaw/0WkL9Ybx8hobh9OHWhwYyqbXtmBuc0NOVnjm589qLt4StJCXU+vWawSkcNuxo/T4846lkSF4VngqLGxEWvXrkVlZSUAoLm5GW+99RYuueQSzJgxAwDQ2dmJXbt2seOSh3wKFdt9rVmgySxwEK2QkBizt5S9k2CEaB9ivXEMj1gL9qRlCAtYA+MXz2hFGNGKsGeBEnXQaOKxNLbuPIjv3Nlm+7icHUllOiNuFIAslZRgr4M6hSiuSURkF/tfRGJ6JRckKTtz2o0bZHrBDFFwJJmSkUyV5nQ0PVbHIlZrp5phHUsi73k2Ve3yyy/HlVdeCQB46623sHPnTkiShMbGxsxzpk6dihMnTnjVhEBoa23Cyo6WzKC9oT5qa4UCO681SgUV/U2rtroSm9YuQk1V2LRtyl2ZkMX0WOV5evtgtiqFHUZFro1Y3Rc9758cBqD/OagLghsZTaaxcUdfVnq0HVZTgvVSsQvBjTRzM5yyR0R+xP4XkZheyQUlo0a7uIuW3Rtkba1NWL96PjatXYT1q+ejrbUpQNnZ5p1ubV9Nj99uTBIFlefFsX/729/izjvvxN/93d8hHA7jrbfeyvxNlmVIDibONjbWudjC0qPd/6UL6rB0weWO3svOa5cuqEN9XRW27jyIgZPDCIUkjCbTeOqlN7GiYzbu+j9XZv4m8sFQAo2NdQiFQgD076w0TqnGR1um4rlfH7NUlyhaEcb/+5d/igVXzdB9zgcuXqjrJlXg9Lkx26+zW2NJ64Ip1WhsrNP9HOz+lAaHEti66zDq66oMj52WevvvnxzGBVOqsaJjdtZ7vPDqO9i66zASYxOZTk62pWbnd//USzFhUOepl950/FvR0vtOKd9zrRdefcfwmJnheS+4+x/kfSfnvOh/NTTUutjC0sHfoLcKdXzz6QtGK8K4/aZWw7YaXeeVv7lNQv6rF3thNClj038eNOz3ifpqWlaOux/4vX2ljsfXW1aPr6eBo1dffRV333037r33Xtx444145ZVXMDAwkPn7wMAApk6davt9BwZOu9nMktLYWFfU/W+9eDJuvvrSrFTfgZPDePDx17GyowXfubMNazb0CO8enF8fxcDAacOgS0N9NPMeStDBTEN9JVovnmx4XM53OO1N5IyDoJFVkqQ/l3xFx+zMPoo+h8SY/VpQibEUHunqRevFk229rvXiyfjOnW1Zj6mP/yNdvTmfn9NtAfa/93rBy4GTw679fvS+U8r3XE2bHq/8ZoZOj1jKDiz2777Ygrz/Qdv3UEgKbHDCTV71vwYHzyCd712QEhO032ChFfL4Ou0LKtPMjPqaRtd5AJ6tSuznX2MqLRv2+/T6agorx90PeI7wFo+vt9TH16wP5lng6N1338WXv/xl3H///WhrGx9g/umf/inefPNNvP3225g+fTq6urpwyy23eNUE8ohZ8Tqz2klGNXrUU4usOj44jFhv3HAALmqTU15dpCUJWHDlNPQciOe0M1oRxvcfew3nq2r1uLXKXb7Lz4peU+wC2nrfsZAE0++KVXZqhLlRaJOIyAr2v4jEnPQFN61dZOl5ZtPXC7kqsZ/o9fuMSgc01EexfvV8r5pERA55Fjh6+OGHkUgksG7dusxjt956K9atW4e77roLiUQC7e3tWLJkiVdNII+YBQXMVjdY1t6sO4e8oT6KR39xyHab7K644DfRCgkrlsxGW2sTLps+Gdv2HMlauU095UspwOzWfqiXn9387MHMCh7KSh8K0eepVyC6piosXB2kUPPU9TqHaRmuFbC2s4pHsQNpRBQc7H8RiWmv2zVVYSTG0q6sXFau13mzlYT1+nsKvX6fUT1IK0W1iajwPAscff3rX8fXv/514d+eeeYZrzZLBWAlKGC0ukFbaxOOHjuF5/cdz/nb1CnVwsfNDA4lsGrdXsPBu7pNetPpCq0yEhIW8x41mHam3MFyuuqcdvvKBXrrrsM5nadkSsbWXYchy7Jw9TC9O2yVFRFURkKOVvtzg3I8H+7qy6kt5Wamj9VVPEplJToiKn3sfxHp0163Y71x/KirT1gmwOqiI0D+Kw8XWm11BOdGkob1N2uqwnjgK9fgrh90C/v9NVVhPPjV9pwbj4qwNBEE0manGx0PZmIT+ZNnq6pReYr1xoW1dNQXByuWX9+ChfOm5Tx+8O1TebXP6upZy9qbEba5YptbrKwAZ5bSPDiUsLSSnZnKivHXj3+u4jtGibGUbvq13oX/zHASo8m06b56qa21SbdDVOgOnNWV6IiIiKhw2lqb8IWb5iCi6RRGwhI+d+1My+8j6lcqfWOn/bWwNF6qwAvDJkGjykgIt103CwBw23WzIOoKnx1JYc2GHgDAX90wOyvQVlMVxqqb5mRlp1stR1HolXiJyBrPV1Wj8rK9u1+Y0puSJ9JOrQYH9vcP2t5+JCyZphSLMkq0dzrmNjdACknjDTegZDDlWx9JO71LaYvomFkJatRWR3JSrisjEsZSMmR5PDhlpX7pmeEktuw8hIqI/eiYlbtGaXkiQFKMO0h+yfSxM62NiIiICseta7S2XymFJBw9dgr7+wfHV7+FvTqZKRlIWVwoxo7KiITRpH5LQhJybvaFdfrfyg3blR0teOAr1wjfz25NTnVmO/tJRP7BwBHZYhQksHuit5v18f/d9mcYOj2CTV19ZvGenILP2jo8VqbDaQMeTuojaQv86dUEAiaOmZUpaPKHOdVKyrXyvsrjdha9GU2mMao/fV2X1aBaMYtA2ylg7TWr09qIiIiosPK9RoturCZTclZ/0y8roBkFjSJhCX91w+ysY6F303ji/Sb6eXYWTAH0+7xcQITIfxg4IlvMghp2TvR2avQsnDcNC66agdv/cZdp0Eh5b4WT1ce0d5uUDsWqdXstv4coQGFldS0rwRglPVi5MI+MJj1bsWPhvNyV3uwG1Yo1t5+ZPuRXTlYwJCJyA88/7vNbDSM9C+dNw/7+Qd32RitCOd8FK/s2OJSwvWBKSDJeMKdUjilRUDBwRLZYCWpYPdHrZYPMv6Ipc1HTdmjsvLfd9gDmS4BaDXbVVIVx23WzLF98lceVzpxSH8goc8jqXHGlzQ31USTGUoarY2gtnDcNy69vAQB0v34c6Q+nwc2/oiknqBbrjQuLUSttKBZm+niPgxB7rGQeEhF5oVzOP3677rixYInbQpKE9IeZ6CEJaL9yvE8X643rBmu0NyaXtTebrqwGjO+/3s1Rvax2ZaXbYq/EW+r89lug8sXAEdliJcPE6oneSTaIlQvzwnnTst7D6sVcbwqT+oRcWx1BWFMaKSwB1VXjF1WzfTCquaPtzCkBGEmCcLUPK8ymyplROhg9B+KZ9qRloOdAHJdNn5zZT+V99QJdc5sbnO0A+V65DEIKyUrmIRGRF8rh/OOn6466j5gvsxpIlZEQmi+qt7SQzPjNRxmhkIR0WsaUuigumz4ZwPgxemz3YWGwBsi+Mbmpqw9mPUal/6wXjDLih5V4S5mffgtU/riqGtnW1tqE9avn447OOXmvFKW816a1i7B+9XzTk5zZyhSRsJS5MBq9pjISwsJ50zJBLr1Vv7QrQZwZTkIKSaipCmded82V0yyveqHXlrnNDXi4q08Y0HEaNBJ9Fm2tTVjZ0WJppTjl2Bh1MhVm0wGdFEInsVhvHGs29GDVur2+WHnEyveDspllHhIReaUczj9+ue5o+4hasy+ZnNPni4QlRCtyO2GVkRAWzJum28cdX7FMthQ0kjBx8zH94T+0qw7fdt0sSyu9pWTjfqi6/+w0Q+jMcBIrO1pM++SUyy+/BQoGZhyRY8WoH2OW8ZRMyTl3zfJpp+iEnEzJSKdTuKNzDgDYivSL2jK3uSEro8ep2uoIohVh031sa20yvSukLCGr7JOI+nGzDmexOqTllr7r9M6Sl8ehHAYhheaX1f6IKHjK4fzjl+uO2U2zQ78/hQVXThOWX9C7Ll82fXLO4wAsLQyj0HuaOrNM1B+1e/w2rV2U9X+nqxA31EcdlxUot36eXX75LVAwMHBEeSlG/RizQtWik6XTduqdeJV52RURyXbKt7Ytazb05F3YujISwueunWl5H806CNVVEdNV3tSdTLP3M+uQenHhL8f0XSdTDLw+DuUwCCk0P632R0TBUg7nH79cd8xXwB2f2q/OnlGyhpX+zh2dc3JudmqvzWs29FgOGtlps3pbRnUqRUTH2ukqxImxFGK9cdt9knLs59nll98CBQOnqlHJ0jspunWyNJsCNJpMm84Pt7INp3cFlERnJym9ZlP+1EUQ9abXqTuZRu9n1iHVpnpr06mdKsf0XSd3lrw+Dla+H5RNmTLKtHwiKrRyOP/45bpjpb+pvt5a7e9op6S7mT0SknL7t0Z1KsPS+PQ6NaNjbVTOQs+Z4aSjfl859vPs8stvgYKBGUdUsry+a5bPhcdKZ0K5UDs1qSqMB7/a7ui1SgfRyipoVqb6aZ+jrAhXUxVGMgVs3NGHjTv6hKvNeVWosxzTd53cWfL6OBRjymo54Gp/RFQspX7+8ct1x+rULOV6a6W/I8qicVNaBjY/exBA9nEU7UNIAlbdNCfzHDvH2m720WgyjY07+rC9u9/yZ1mO/Ty7/PJboGBg4Ig85eXcY69PllYuPLXVEYyOpR0Fr8zmxpvRy3bSI/os/vqmOZaCb1Y6mdrnxHrj2PzsQSRV+dVnR1LY1NWXeT7g3YW/HNN3nQRLC3EcvBiEqL+vjVOqcfPVl7IjREREAPwR/FK2v23PEcPl6pUsHyv9nXz7hoBSgDuk209MpmRs23PEtB+Wlif20cmxNistIaJkYR09dkpYG0pNr38TkoBV6/YGJojih98CBQMDR+SZQsw9tnuytBPIMqvbo9QVApwFr9wIjFil91ms7GjByo6WnGLd27v7sXFHX14X3e3d/VlBI0VKRtbdNSuBjRdefQePdPXaOsblUMdBy0mwtBSPg/b7OnByOHB1C4iIKJffiiEr/dBYb1x3iXulLma0IozEWO7f1f0dJ31DdaBIe0z0gjbqQJfXN5jsFt4eTabx/L7jmf/rjR/0Mr6UTPog1jwi8hIDR+QZr6YgOWUWyNJ2RpTVzvTSd+df0ZTXnRgnK1io2Rn4G30W61fPN0yR3rijD0ePncLy61tstc9o39R/MwtsxHrj2LrrcKazZbUjUK7pu3aDpaV4HPx27iAiIndo+1q339SK1osnW36tX4shqwNIojIARllEc5sbMv826xtuWrvI9eBZPjeYrLRlWXuz6Wq+ZkR9AL0yCWavIyJnGDgiz/ht7rFZET1tZ6TnQBzzr2jKpMqqpT9cKeOy6ZMdX4ycLlsKjE+Rs7Ndq5+FXor08/uO295Xo86PnRpK27v7c+7QWe0IMH13XKkdB7+dO4iIKH+iwM9DT7yBFUtmWbpGlcJNhbbWJttBkv39g5l/GwVZlL6T3jVdFMSpm1SB0+fGcp5bUxXOajNg/waT1UBeW2uTbjaWHWarJttZbZmI7GPgiDzjtxozRoNRvc7I/v5BrF89X7iqRb6dFatz47XUU+SssvpZmK3OZXflNm2NI2B8hQ47NZQYRCgsP0wD8Nu5g4iI8ifqayXGUpb7F6XQH4j1xoWZL0bU7W9rbcLRY6eypmoB1leo1QZxrv3oDPziv9+GuisWloDbrpuV9XonN5jsBPJuu25W3llHZn0A9h2IvMXAEXnGb7VVjC4oZp0Rrzorba1N2N7dLwwcKR2PyoiEsZQMWc6dImdFrDeOkVFxYGpwKIE1G3oywQErx8IqUWBMtKqaGXYE8mc1GOSXaQB+O3cQEVH+8u1fFLo/YPdGitGy9kZqqyOZG5TKdi6bPtnydVtv5bLRZBq/OvQeVt00x/J+2NlnO5+nWSaW8tnqlYqw0gdg34HIW+H77rvvvmI3wq5z50aL3YSiqamJlsz+z5hai4bzqvB2fAjDifGCfZ+7dqbjAWi++143qRK/+d0gUqorupK9o7RRq7Y6go6PX4KX9h8X/r2hPorFH73YcZsA4CfPHRU+LgO4o3MO3jg60WYZwPH3z6LhvCrMmFpr+t5KJ2ZkVH863HAihd/8bhAN51Vh9h+dj9eODAifpxwLO2ZMrUXHxy/B1CnVeDs+hD+cHcPb8SHUTaq01H5g/HPrffMD4edm9T2A8WPxwM/ewE+eO4qX9h+31YZiy+e7r3wHlOCd+vPW7v8DP3sjJ4iZSst4Oz6U9/fcDu25o3FKNW795OW+mYpQSKV0zneDJEmYNKmy2M0gHcPDo5BtDopLXdB+g17S60spfzO7Lhv149y+ntu5diq++9iruv2t2ZdMxsmhEfz/7d17dFTl3S/w7yRDkoEECCFpag1KOWIkBaSUaiSUSzEQkgAiPYI9gPL6Uo9WemiX9bJqZbVKUdpFi0pXpYhYC4JWi6GAQlMphCxbUaECoqKoLAnGFJqETC4zs88fvHuYmezrzL7O/n7+Igmz59nPs2c/v/nt55L48cnw+RAKRXD+f+pFfJ+rrxiMxdUjMKtiKCrHDZF8z8QySgl2hnDnnJGoHDdE8VjJnLPe2Fju//fLyYQ/MwPBrjD6ZvsxftQluPqKwbq/Pxj9vUMr3iPMxfo1V2z9qsVgHHFEpnLS2ipqc7ilplUFO0NoPNJk6lMMpSdoqc7n17qtq3hMpfMRBEFyAXGl7VKldhnRO4qlvKwY/fNydO+qFsspI2nsoOcactI0gNh7R2FhHpqb2ywvAxERGUdpbUct/bKVmz1s2n1cV/zVeKRJcQ2fz88GsbhmRK+YSBAEJNaG1jhPS4w3OD+g+PdYm/e8p+uc9cbGUv8/0wd09URwvvPiCH9x199Vd4xXLbPUCCktryMi/Zg4ItdIZkv2RHKJLHHhvlA4vtMXt44XOyG9w4ZT3S5dbliv1i/yer7wxwZtUs53hnslX5S2S01M1sTSuz7UpLElcbuuNB5p6jWsW+lYblhQ0yx6kkGcFkhERGZJTPwk0tIvW/FAUikJJNenihutyGlp7YqWOzY2khvApyV+U/s/Wf4MLKy6SvU4wIVzlhu5JPc+WhJ5iTFx7KYzBf2z0dUT7vW+WuMzLz0UdML6k0RMHJErJLslux5qQYKWYCWZTkyp45ULrrR+kVfb1jVWhk95u1i1vwPxnb3ak7BkR7EkU8dOGkljNT3JIK4PQEREZhJjKSfvgKWUBJKLv9TKLb5O60jw2F3PlI6ptHvtnInDMGlsCZqb21QTD8mcM9A7ht28573oqKrcgB/BzlB0YW5xx+JFVaWG7ISm9lAwXZItXkqQkbMxcUSukMqW7FoZMdoi2ZEtckmpVL/IjxpW0GtnDgDw+RC3TkWWP0M1kNG62KPaguKiZEexJFPHXh5Jo+casnIaQKx0Ce6IiOgipXu7k/tlpfhFLv5SSuLE9rlaE2M+n0/1/8j177GJGUBb4kGpXIkbqcRKPHbs6CGpEUyJ8Voq14HSQ8F0SrZ4edQ8OQsTR+QKVowYSSZJkxgUGV3O2C/y/27twiCdX6oPn2iR/H2/HD+y+2TGBXNyo5v0Ejt7pe1otSS/Yuu2MD+A2RVDUV5WnFQde3kkjd5kkNXrkhkR3Lk18eTWchMRqVG7t8utdzRqWIEtZY29F+cG/JJJj9yAX/YeLXc+ibvJah0J3h4MqU7J19q/yyUe1tUdja5vqVYuub5Z6wiqxGOJUonPzFwj1Em8PGqenIWJI3IFK55M6f2CLRUUyUmlnOIXeaUFguW+gMqVqT0YwpoffKvX7+XWJNJDfDKlNEIp8WlYosS6bT4bjAYsyVwLdo2kcQonLVKfKNXgzq1PFd1abiIiLdTu7eVlxfjg1Lleo6Ib/tWE/3XpQMvug1L34kwf4M/0xW2YIu7eJicxzsgN+CEIAs53hqPTwJQSZlJiR3DL9Q9K/XvjkSb8eX+jpoTQ+JHFaPhXk2K5pPrmZJIX/XIy45JiieseaY3PzFwj1EmcPDqPvIWJI3KFOROHxa1xBJgzYkTPF2ytT1nMHtki9wX0g1PnZF8j1dmI571++1HN09LkqCXR1JJGUmWI3fktmadTTk6eeFmqT9Lc+lTRreUmItJCy71dalS01fdBqXtxWAD69cnAgH5+XckMMc7Q8mBATDD1y8lEV0+k166+ifTWi9IGJVLHPnyiBYuqSlVHnyf+Tc9amoD0LmqJ6x5p3QDFiDVC3TDy18uj5slZmDgiVzBiS3ajqSVHrCqn3BfQvW/3XttIJDdfXWrHDyNpmfq3cee7somr2F1JnNTR6wk83BCkWCnVJ2luHcLt1nITEWmh5d7uhPug3Hud7wzjsf83UdexYvv3RImjrZR2HjOiXvROIRPjK7Fc//dXe3utLQpcmK4XS88IKi27qBk1GldLssUtI3+dGPeSNzFxRK6RuCW73ZSColV3jDf8/V47+Klk4kwukFAbNSTXQSZ2UEprFWmhJ4mmFuiIAaeTRg/pCTzcEqTIMSPpleqTNLcO4ZYrd4bvwi4zYv3OnJRnQ+nkMfFJJI2fjXhSm3Mk3tudcP9WStTILQgtRcsIH7n3SYxpxNE2UmXVSm/yLXb6WG7AL5k0AgBBiA8IE2NGHwCpkFGMjdV2UdMzGlfPyC65neTcMvLXSXEveRcTR0RJsnLoaOORpriperGdo9IXULWEj9hBAr033PkQAAAgAElEQVQ7VzH5JRUMZfkzMH5kseSObbH0JtGUAh2xbtWCc6uDdz2Bh5uClERmJb1SfZLm1iHcck9pIzHbFm/c+S765+U4JmHu9sQnkVn42YjXeKQJDf9q6vX78SPjv/xatQyBEqURM1raUWmUUSKtiR+9/Vpi3DNqWIFsDJgb8KO7J9LrfM93hnG+80I7SC0MHvv/EsUmNeRiRrHsaslCPaOttKyjpfT5c8KINyI3YeKIKElWDh19ce+JXk9/1Nb80bLQIXAxMJIKeMX37g5FokGIeJ4AFBNHyQR/skmwDB8WVZUCgGJwLhW8r6s7Gl0kMXF3EyPoCTycFKToTbCZmfRK5UmaW4dwaxnZ1x2K4Jmdx/DI98ptKGFvbk58EpmJn414cqOHE9c0csIyBOIi3Xvf/kwy0aLUjnrWEdITE0n1a6OGFeDFvSewru5oXD1JxT1ysVnsAt+bdh+XTAKpyfDpL3tsm6olxbSOQms80qQpppJKqokLccsl15w+YpnILkwcEaXAqqGjSp2jXCcNAP84dgbd//PgSG74cIYPkgHv7+uOIjNmV5GIcLFzLy8rxt1rGxTLnPhkUQu5gOKu/301yoYMxN1rGxSDc7Wpbuc7w3hq+4UkklHtluX3oTvUu2Yzfei1uGO/nEzJQK1fTqYhZdEqmafjTkp6JXLrEO7YcssN3//ibNDKIily8jVAZCd+NuLpqQ+zliHQ+nBEHB2lNEJb7ny0riOUmOjRUi6lUTyxfbbWMmT44ne03bT7uOprpGhZuiCx7IkJr9hFuMXd59bVHcWLe09g1LCCXg895dYmkiMmftSSalLn4oYRy0R2YeKIyAXUnsBILbSYmIDJzPRBiAiI3bgjy58hG3AIQK9dPmKTNGoBsZYtdaUCqNiAQvzdpLElaG5uUw1GtQTpYQGGPgXukdkJJSz03krX55N+VCf3e7PofTreeKT3lAMRn8wZQ+4zPjg/YENppDlhPRIiJ+JnI57d9aHn4YiWxItcudVijix/Rq/dwpKZ0qjUZ2tNTkaE+PdIZrQRoK8N5UaBi8eZPOaSuCRRS+uFHdbGjyyOjgrSujaRKDbxoyepFjui3o0PooiswMQRkQvoXQdAqrMMhQXkBvzI7pMZ1xnrCTyAi4GS2hasasP05QKoRVWlsusiqQWjWreFTeUpcGKyS9C4cLhS8KK0noAZ9D4dF9fBksInc8aQG223sOoqG0sVz63rSRGZjZ+NeHbXh56HI1qSP3LlVoo5xNHcYv8pNypay5RGpT5ba9xjRNJObxsqJW7kptR1hyI4fKJFcX1MpfONTdTpSao9de8UTf+XyMuYOCJyAb3rAMh1lu3BENqDIeQG/HGv1zpHH7gYfGjZgjWxHLFJF7k1XZQCKLVgVOu2sHoDKLnFL42ahmD1U2m9T4OVzpNP5owhN+VUHG3nBG5dT4rIbPxsxLO7PvQ8HFFKvKiVWyrmyPQBvoyL0/xjRxUlO6VRaRMUqd3rEkklfHIDfl0PrcSpbkDvafh6Y1E1ydZHQf/suLJYmVQj8gImjohcQs86AGqdZXswhA07jgG4GOCt335Ude56bPCRGBjKlUOUOMJI7r20JCnkglEtZcr06Rslo2fxSzX9cjLRExJsfyqt92mw3dMOvMINazW5oYxEduBnI56d9aGnz5LrD2NHrsiRikm6esK9EjLiQzGl2KzxSJOuBBVwIY5q+FeT7FqLIqk1J+dPHY4NO47FLUngz/RhwqgvS64xpGWDkkRaEzdSr1OiNYbR8jDRyyMDifTKXL58+XK7C6FXR0e33UWwTb9+2Z49fy+fO6Dv/PP6ZuGdD1sQVsgERQTg46ZWVI4bgpKiXBTmB3q9JtMH9Av40R2KoKB/NuZPHR4XHJQU5aJy3BAUSbxW3L2jpCgXALDmhUOanm7lBvyouvYy2XMX33NWxdBo2WPF/r0oP4D3Pj0bDRr65WRiYdVVuoJZreXO8F1YFyrDB5ReNhCt57t71ceCaaW4+orB+LipFcGucFydNh5pwpoXDuG5v36A/Yc/Q17frOi5GX3tlxTlomBAjmQ5pEhdT4ntayYvf/a9du4+nw99+2bZXQySEQx2a56emy689hm0mhn1q6fP0tsfJvbVV10+CIurR0Rjkudfk57aHewK4/9UXok332uW/LsYj0kRy/j2+829NjkJRwQEsv3Rf0tp6+judeySolwMHhiIO++brx+O6vLLZetDKh4KRwTZsmuJRRNpiS20tpnU/7t2xJfQ1tGtqa214j3CXKxfc8XWr1oMxhFHRGlIy8gbIH50TypDy7W8VutTJ0HhW4neLeSNeOKpdZhz4nx8pbImlinZBTNToadu7J52QEREpJXePktrf6ilr1abRiUuDp1ILdZQem17MIT/rh2h+9hy5y33e71T7bSMaJ885hLFhbDlaG0zjgQkMg4TR5QUvV/gyXpiZynORZeSOBw4lQ5W7bVahyzL7fRhR3IFUC+3OMxZ6jOhtLhjLLkFM9dvP4p1dUdRmB/A7Iqhtn7GGHwREcljXOQsalvCJ9M2Wha3VptGlcrUb7WklNzDwn45mZrXJUr2/eUoJbwAYMG0Ut3lICJ7cKqayzhhuJ74BV4crhrsCuOdD1tQMCDH1GkrTjh3O/3z3c+x6o8HJacyKcnrm4VDEsOb/Zk+3Hx9/HBgpelSqdI6ZLmgf3avIc/9+mXjFxv/qWuItFGUyi0Ocwag+plQqtvn/vqB5HuL79jRGbLkM2YlPdealz/7Xjt3TlVzNk5Vk2ZXXORUTrq/G9k2cn11sCuMbfs/ik5dk5uSDqQ29VvttVJ/z8zwIRwRcL4z+fMX21MqaaSl7HUNH/WKQUX7D39mSsxpJa/101Zj/ZqLU9XIVMluJ0rJazzShGd2HUdXz4XROHpG24h/37T7eHQ0T27A32tet9kjehKHjucG/Ah2hhCzLqPiIoVqQ6TNetqrZcj73WsbFD8TanWrZTRWOn3G7Bo9RkRkBsZFFznt/q7WNnpiB7W+WjzXRVWlsiOOzVwWQOrv3aEI2jp6ZM9fjdIGIVrLrvS8UKxPu68TIlLHxBHplux2opS8F/eeiCaNRHo6fi3TjKwIfBPLYUTAVtA/25Kkl9JxlD4Td69tQFdPWLFutez8ofQ+bsMvWUSUThgXXeS0+7tS2+iNHbT01VrO1cxlARL//l8r6yX/n9ZrU6o9Aem1HeVoXaqAcQCRs2XYXQByH7m5zNya2zxWBKV2BL7lZcVYdcd4PHXvFKy6Y7xisDBn4jBk+eNvWeIIJaVA1QpK135La5fsrmxi3ZaXFWNRVWn0OBk+/e/jJvySRUTphHHRRU67vyu1jd7YobysGONHqic1nNSXDc4PSP5e67VpRHtKxW9634+I7MfEEemm9AWezGFFUOr0wDcxuVLQPxuLqkpRXlasObBpPNKEu9c2YPHKety9tgGNR5oMKZueoChWbN3GJtH+q2ZEWn/GnH6tERHpwbjoIqfd35XaJpmkyOETLarv6aS+bGHVVUlfm41Hmgx5kCUVv+UGpCe9OKnuiCgep6qRbtya2xxK07bmTBwWt8YRYHxQqrYTiBPIDdFWGgZ999qG6DmYNZ0t8TOhhVLdJh7PCbuqGckN1xoRkVaMiy5y2v1dqW3k+my1UcRKzDjXVNZwnDS2BK1tnbpfL07jk1qfKJlzlFqqQOk64S6FRM7DxBElhVtzG0ttnn15WTH65+Xg6e1HTOtE3Rz4Kq07INZlVp8MU9ddENtJ3PJWidTi5HLHA4DCwjw0N7elXEancPO1RkQkhXHRBU68v8u1TTJJLqUHVWacqxFrOCZzbcqtbQQA40emfq0rXSdOW2CdiC5g4ojIAbQsJjlpbAnKhgw0tRyJHbk4z9/pHbXaiJ/uUEQ2ADJ6VzYti2dm98m0rU7NeIqXzDH5JYuIyF5m7kbqpPu73Hkmk+SSSzaJU+fNKHMiKxaRTnW6nhZy14nTFliPJXUtzZyUZ2uZiKzCxBGRA6S6+KBRwZ+bn/KIAchimR1ElNz1673o6okgFL4wJjuV89Yybc2uxR/NaF87rxkOZSciSo5Z/YHT7slaRnTrKaMVI6qkpnElMjuOUBpZJe5IZ1bbOi12EsldS/3zckx/sEvkBKYujt3e3o6amhqcOnUKAHDgwAHU1taisrISq1evNvOtiVwllcUkxY5M7FDFjiyZhZ/t3p3MCHJ11i8nU3YB6/Od4WjSSJTKeYsLXTttkVAz2teua8bI654oHTEGIyVG37udek82o4/SsyNsMpSmiYnMjiPU1jAys22dFjuJ5K6lZ3Yes6lERNYyLXF06NAhzJ8/HydPngQAdHZ24v7778fatWuxY8cOvPPOO9i7d69Zb0/kKqnsyGJkUOTUpzx6yNXlzddfGberhxapnrfTdtoxo33tumbSIclJZBbGYKTG6Hu3U+/JboxrtJTN7DiivKwYk8dcIvt3M9vWabGTSK5dvjgbtLgkRPYwLXG0detWPPjggygqKgIAHD58GJdddhlKSkrg9/tRW1uLXbt2mfX2RK6itNW8GiODIqc+5dFDqS7Fp4RapXreqbSrVo1HmnD32gYsXlmPu9c2KD4BNKN97bpm3PhlgMgqjMFIjdH37lTuyXr6Mb3cGNdoKZsVUwAXTCvFf9eOkP27Wf2tFbFTMuTaZXB+wOKSENnDtDWOHn744bifP//8cxQWFkZ/LioqwpkzZ5I6dmGhtxch8/L5p/O5z5yUh5mTrlD8P1LnX5gfQLPE047C/IDu+rqlpgyPP38IXT3h6O+y+2TilpoyyWO9dvBTPLPzGL44G8Tg/AAWVl2FSWNLdL2nVnrORa0u5eosltJ56xFbFrG+fl93VHd9ydb/ruPR9mpp7cIzu46jf16O5HH1tq8WZhxTSuKxjLzunS7dzofMZ1YMVlCQm3LZ3CgdP4NG37uTvSfr7cf0sqqPMpJUmWPp7edSOc+Zk/Lw5/0fJd3fKsWJSn/TEhNbTe5aWlh1lWOvpXTB+jWX1vq1bHHsSCQCn88X/VkQhLif9Uinban1SrdtufXw8rkD8uc/u2Ko5A4fsyuG6q6vsiEDsXD6lb0WfSwbMrDXsRIXCWw+G8RjW99Ga1un4U+FjG57qTrL9AGBHD/agyHF805WKvUld/5Pbz/SK7Ds6gnj6e1HJBdq1NO+WplxzERS52/kde9kXrvvZWT4PJucMJNRMVhLSzsiEUH9P6aRdP0MGn3vTvae/MzOY7r6Mb2s6KOMJpZ585730B4Mxf1Nbz9nxPWbbNsqxT0ALIshjSJ3LU0aW+LYaykdpOs92Cli61ctBrMscVRcXIzm5uboz83NzdEh1ESUPKN3+NC6w4iTt0tVY8WuKInMqK9kpgaYsU2yHVsv29GGRG7FGIykGHnvTvaeLLc+jJHToOzoo1IlltkJO9Ul27Zq6165MYZ047VEZBTLEkejR4/GRx99hI8//hiXXnoptm/fjhtvvNGqtydKa3Z0ZG5fY8bqOjOjvuS2y3Xy2g1GYgBHpA1jMLJCMvfkwTJT3LzSj6lxSj+XTDmSiXvcEkMSeZFliaPs7GysXLkSd911F7q6ujBx4kRMnz7dqrcnIoM5IWnhhCdxWplRX3MmDpMcPm73ziNWcVP7E9mJMZj7eOX+trDqKjy29W3P9mNGceL1ohb32B1DEpE+pieO6uvro/8uLy/Hyy+/bPZbEpEF7E5aJM6db2ntwsad7wKwZrcRvcyoLz3Dx50YVKbCbe1PZAfGYO7kpfvbpLElaG3rTKv+yWpK18vMSfoWFTYyVlCLe7z84IvIjSwbcURE6cXsNWZig5fC/ABmVwyNO7bVayylGkyZVV9aho/r/RLihiST29bYckOdEpEzuO3+liqnTMfSysj7uRHH2rT7uOz1omdnMqMTllriHjv7RfbLRPowcURESTMr2PvDK+/ib299Fv25+WywV/Bi5RpLRgVTifXVeKQJd69tMD1o0fMlxC1Put20xpZb6pSInMFN9zc3SiVhYOT9PNljxZa/X04mzneGJf+f3uvFjISlUpxoZ8KQ/TKRfhl2F4CIKFbjkaa4pJEodicOQH4evBnz49V2BkmGGLSIgZ0YtDQeaUqprFL0fAkx41y1EhNpi1fW4+61DYp1YWX7p8rOOiUi93HT/c0sevoDvcdNpe818n6ezLESyy+XNAL0Xy9eSliyXybSj4kjInIUpU47NniZM3EYsvzxtzCz5sebEUxZGbTo+RJiV+CoN5i3sv1T5aVgnIhS56b7mxnMfLCSat9r5P08mWNJlV+O3uvFSwlL9stE+jFxRESOotRpxwYv5WXFWFRVGv1dQf9sLKoqNWWIsRnBlJVBi54vIXYFjnqDeSvbP1VeCsaJKHVuur+ZwcwHK6n2vUbez5M5ltZy5gb8uq8XLyUs2S8T6cc1jojIUeS2bwV6Pz2zan68GTuiqW1Tq4faeg16Fua2a7e8ZIJ5tyyoavcOhETkPm65v5nBzAcrqfa9Rt7PkzmWUowUe4z5U4frLo/Zm57YLXFtKH+mD6GwEP07+2UiZUwcEZGjSAVSADB5zCW2BS9mBFNGBZ9aF3jU+iXErsDRyESaHlbsqpLuwTgRkV7ivfffrV0YlHBPNLM/SLXvNfJ+nsyxpMqf6QMCOX60B0Mp9y/pmrBMjJXOd4aR6bswMsuIeiPyAiaOiMhRpAKpW2rKUDZkIAD7tk81OpgyKvi0eheUVCi1XSrBfLLXhJW7qqRrME5EpJfavdeIByty/YIRfa+R93O9x3LDgwi1PtmOOE4qVgoLQHafTKz5wbdMfW+idMHEERE5TmIgVViYh+bmNldvn6oWxCbLLQs8qrVdssFwKteEGUk3t7ErEUtExnPL51nt3ptqckRLf5N4LLfUHeDsBxFqdW9XHOeWWInIyZg4IiLXcOsXfTMDJbumeOmlpe2SCYZTuSa8Hki6ORFLRPHc9HnWcu9NJTmit19wU905nVrd2xXHuSVWInIy7qpGRK7h1i/6Zu4Q45ZdUMxqu1SO6/VdVcy8LonIWm76PJt979XbL7ip7pxOre7tiuPcEisRORkTR0TkGm79om9moOSWbZvNartUjuv1QNKtiVgi6s1Nn2ez7716+wU31Z3TqdW9XXGcW2IlIifjVDUicg23bmtu9hBpJ693INLbdrHrTRTmBzC7YqjkOaZyTbhhkVEzceg+Ufpw0+c59t4rtataqvT2C06vOzetv6RW93bGcW6IlYicLHP58uXL7S6EXh0d3XYXwTb9+mV79vy9fO6At89fPPeSolwUDMjBx02tCHaFUdA/G/OnDnd8IJDXNwvvfNiCcESI/i7Ln4H5U4ejpChX9fXp0PZ62k5cb6I9GAIAdHSG8M6HLSgYkNOrvlK9JkqKclE5bghmVQxF5bghmtrDSma2farXpRl8Ph/69s2y5b1JXTDYDUFQ/3/pxC33Xyd+npWI997bbhiF8WVfMrSMevsFJ9ddYn8Y7ArL9odSrL5+1ererXGcErfcI9yK9Wuu2PpVi8E44oiIXMWNT4y8PrJFpLXt9C6e6cZrwgl4XRKlD36e4+npF5xcd27cFESt7tlnE7kTE0dERBZgoKQd15uwDq9LovTBz3PynFp37A+JyCmYOCIi8iAnr5ng9PUmiIiIrJBMf6h1jUAiIj24qxoRkceIaybEbo+7cee7aDzSZHPJLvD6bmdERESA/v4wsX9vPht0VP9ORO7FxBERkccorZngBInb5hbmB7htLhEReY7ebeSd3r8TkXtxqhoRkU5OnualhRvWTIhdb6KwMA/NzW1xf3d7GxARkXMZ3cekcjw96y+5oX8nIndi4oiISAdxGLj4RE+c5gXANYkLt68hlA5tQEREzmR0H2Nln+X2/p2InItT1YiIdEiHYeBuX0MoHdqAiIicyeg+xso+y+39OxE5F0ccERHpkA7DwMUnnG6d6pUObUBERM5kdB9jZZ+V2L9zVzUiMgoTR0REOqTLMHA9ayY4Tbq0AREROY/RfYzVfZbaGoFERMngVDUiIh04DNx+bAMiIjKL0X0M+ywiSgcccUREpIPbp3mlA7YBERGZxeg+hn0WEaUDJo6IiHRy8zSvdME2ICIisxjdx7DPIiK341Q1IiIiIiIiIiKSxMQRERERERERERFJYuKIiIiIiIiIiIgkMXFERERERERERESSmDgiIiIiIiIiIiJJTBwREREREREREZEkv90FSEZGhs/uItjKy+fv5XMHvH3+Xj53gOfv5fP30rl76VzdyKvt49Xztgrr11ysX/Oxjs3F+jWXWL9q9ewTBEGwokBEREREREREROQunKpGRERERERERESSmDgiIiIiIiIiIiJJTBwREREREREREZEkJo6IiIiIiIiIiEgSE0dERERERERERCSJiSMiIiIiIiIiIpLExBEREREREREREUli4oiIiIiIiIiIiCQxcURERERERERERJJckziqq6vDjBkzUFlZiT/+8Y92F8dyCxYsQHV1NWbNmoVZs2bh0KFDdhfJdO3t7aipqcGpU6cAAAcOHEBtbS0qKyuxevVqm0tnvsTzv++++1BZWRm9Bnbv3m1zCc3z+OOPo7q6GtXV1Xj00UcBeKf9pc7dS23/m9/8BjNmzEB1dTU2bNgAwDttD0ifv5fan8hpHnnkEdx77712FyPteDGutVp9fT3mzJmDqqoqPPTQQ3YXJ608//zz0Wt31qxZGDt2LH72s5/ZXay0sm3btmg8/Mgjj9hdnLT05JNPYtq0aaitrcVvf/tb9RcILtDU1CRMnjxZOHv2rHD+/HmhtrZWeP/99+0ulmUikYhQUVEh9PT02F0Uy7z99ttCTU2NUFZWJnz66adCMBgUJk6cKHzyySdCT0+PsHjxYuG1116zu5imSTx/QRCEmpoa4cyZMzaXzHwNDQ3CTTfdJHR1dQnd3d3CwoULhbq6Ok+0v9S5v/rqq55p+9dff12YN2+e0NPTIwSDQWHy5MnCsWPHPNH2giB9/idOnPBM+xM5zYEDB4RrrrlGuOeee+wuSlrxYlxrtU8++USoqKgQTp8+LXR3dwvz589P277Tbu+9955w/fXXCy0tLXYXJW10dHQI48aNE1paWoSenh5h7ty5QkNDg93FSisNDQ1CTU2N0NbWJoRCIeF73/ue8Morryi+xhUjjg4cOIBrr70WAwcORN++fTFt2jTs2rXL7mJZ5sMPPwQALF68GDNnzsSzzz5rc4nMt3XrVjz44IMoKioCABw+fBiXXXYZSkpK4Pf7UVtbm9bXQOL5B4NBfPbZZ7j//vtRW1uLNWvWIBKJ2FxKcxQWFuLee+9FVlYW+vTpg2HDhuHkyZOeaH+pc//ss8880/bf/OY38cwzz8Dv96OlpQXhcBitra2eaHtA+vxzcnI80/5ETnLu3DmsXr0at99+u91FSTtejGuttnv3bsyYMQPFxcXo06cPVq9ejdGjR9tdrLS0fPlyLFu2DIMGDbK7KGkjHA4jEokgGAwiFAohFAohOzvb7mKllaNHj6KiogK5ubnIzMzEhAkTsGfPHsXXuCJx9Pnnn6OwsDD6c1FREc6cOWNjiazV2tqK8vJyPPHEE3j66afx3HPPoaGhwe5imerhhx/GN77xjejPXrsGEs//iy++wLXXXosVK1Zg69ateOONN/DCCy/YWELzXHHFFbj66qsBACdPnsTOnTvh8/k80f5S5z5hwgTPtD0A9OnTB2vWrEF1dTXKy8s999lPPP9QKOSp9idyip/+9KdYtmwZ+vfvb3dR0o4X41qrffzxxwiHw7j99tsxa9YsbNq0CQMGDLC7WGnnwIED6OzsRFVVld1FSSu5ubn4wQ9+gKqqKkycOBFf+cpX8PWvf93uYqWVsrIy7N+/H+fOnUNXVxfq6+vxxRdfKL7GFYmjSCQCn88X/VkQhLif092YMWPw6KOPIi8vD4MGDcLcuXOxd+9eu4tlKa9fAyUlJXjiiSdQVFSEQCCABQsWpP018P7772Px4sX48Y9/jJKSEk+1f+y5f/WrX/Vc2y9duhSNjY04ffo0Tp486am2B+LPv7Gx0XPtT2S3559/Hl/+8pdRXl5ud1HSEuNa84XDYTQ2NmLFihXYsmULDh8+jJdeesnuYqWd5557DrfeeqvdxUg77777Lv70pz/hb3/7G/bt24eMjAysX7/e7mKllfLycsyZMwcLFizAbbfdhrFjx6JPnz6Kr3FF4qi4uBjNzc3Rn5ubm6NTeLzgjTfeQGNjY/RnQRDg9/ttLJH1vH4NHD9+HK+88kr053S/Bg4ePIhbbrkFP/rRj3DDDTd4qv0Tz91LbX/ixAkcO3YMABAIBFBZWYnXX3/dM20vdf47duzwTPsTOcWOHTvQ0NCAWbNmYc2aNaivr8eKFSvsLlbaYFxrvsGDB6O8vByDBg1CTk4Opk6disOHD9tdrLTS3d2Nf/7zn5gyZYrdRUk7+/fvR3l5OQoKCpCVlYU5c+bgH//4h93FSivt7e2orKxEXV0d/vCHPyArKwslJSWKr3FF4ui6665DY2Mj/v3vfyMYDOLVV1/Ft771LbuLZZm2tjY8+uij6OrqQnt7O1566SVcf/31dhfLUqNHj8ZHH30UHXq7fft2T10DgiBgxYoV+M9//oOenh5s2bIlba+B06dP484778Qvf/lLVFdXA/BO+0udu5fa/tSpU/jJT36C7u5udHd3469//SvmzZvnibYHpM9/3Lhxnml/IqfYsGEDtm/fjm3btmHp0qWYMmUK7r//fruLlTYY15pv8uTJ2L9/P1pbWxEOh7Fv3z6UlZXZXay0cvz4cVx++eXo27ev3UVJO6WlpThw4AA6OjogCALq6+sxcuRIu4uVVk6dOoU77rgDoVAIbW1teOGFF1SnXLoivf+lL30Jy5Ytw8KFC9HT04O5c+di1KhRdtFAekkAAAV5SURBVBfLMpMnT8ahQ4cwe/ZsRCIR3HzzzRgzZozdxbJUdnY2Vq5cibvuugtdXV2YOHEipk+fbnexLFNaWoolS5Zg/vz5CIVCqKysRE1Njd3FMsX69evR1dWFlStXRn83b948T7S/3Ll7pe0nTpyIw4cPY/bs2cjMzERlZSWqq6sxaNCgtG97QPr8v//97yM/P98T7U9E3sC41nyjR4/Gbbfdhptvvhk9PT0YP348brzxRruLlVY+/fRTFBcX212MtFRRUYGjR49izpw56NOnD0aOHIklS5bYXay0UlpaisrKSsycORPhcBi33HILxo4dq/ganyAIgkXlIyIiIiIiIiIiF3HFVDUiIiIiIiIiIrIeE0dERERERERERCSJiSMiIiIiIiIiIpLExBEREREREREREUli4oiIiIiIiIiIiCT57S4AEaWvU6dOoba2Fm+99Vavv61btw7bt2+HIAiIRCKYMGECli1bhs7OTixYsAAA0NHRgTNnzmDo0KEAgOuuuw733HMPenp6MHnyZJSWluL3v/89AODJJ5/EX/7yFwDAJ598gvz8fOTl5QEAHnvsMQwZMsSKUyYiIiJyvCuvvBLDhw9HRkYGfD4fgsEgcnNzsXz5cowcORIvvvgi7rvvPtx5551YunRp9HWCIGDq1KkIBALYvn27jWdARFZi4oiILLdz507s2bMHW7ZsQU5ODrq6urB06VI8/vjj+OEPf4ht27YBAF5//XX8/Oc/j/4s2r17N0pLS/HOO+/gxIkTGDZsGJYsWYIlS5YAABYsWIDvfve7mD59uuXnRkREROQGGzduxKBBg6I/r1+/Hg899BC2bNkCALjkkkvw8ssvxyWO3njjDXR2diIQCFheXiKyD6eqEZHlmpubEQ6H0dnZCQDIzs7GAw88gKlTp2p6/ebNm/Htb38bM2bMwMaNG80sKhEREVHaC4VCOH36NAYMGBD93fDhw9G3b1+8+eab0d+99NJLmDlzph1FJCIbMXFERJa74YYb0L9/f1RUVOCmm27CypUrcfr0aYwaNUr1tR988AHeeustTJ8+HbNnz8a2bdtw9uxZC0pNRERElD4WLVqE2tpaVFRUYNq0aQCAX/ziF3H/R4y1ACAYDOLgwYOYMGGC5WUlInsxcURElsvLy8NTTz2FnTt3Yu7cuWhpacGSJUuwatUq1ddu3rwZkydPRn5+PkaNGoVLL70UW7dutaDUREREROlj48aNqKurw+9+9zt0dnbimmuuQUFBQdz/qa2txe7du9Hd3Y3du3djypQpyMzMtKnERGQXJo6IyHLr1q3Dm2++iZKSEnznO9/BqlWrsG7dOmzatEnxdR0dHdi2bRsOHjyIKVOmYMqUKWhubsazzz6Lnp4ei0pPRERElD7Kyspw33334d5778WpU6fi/lZYWIgRI0bg73//O/785z/jhhtusKmURGQnJo6IyHKdnZ341a9+hXPnzkV/995772HEiBGKr6urq8PAgQOxb98+1NfXo76+Hnv27EFHRwd27dpldrGJiIiI0lJNTQ1GjRrVa6oacGG62oYNG9DW1obhw4fbUDoisht3VSMiU3V0dGDMmDFxv9u8eTN8Ph/mzZsHn8+HSCSCr33ta/j1r3+teKzNmzfj1ltvjRsi3b9/fyxYsABPP/00amtrTTkHIiIionT3wAMPYObMmdi3b1/c76dOnYoHH3wQy5Yts6lkRGQ3nyAIgt2FICIiIiIiIiIi5+FUNSIiIiIiIiIiksTEERERERERERERSWLiiIiIiIiIiIiIJDFxREREREREREREkpg4IiIiIiIiIiIiSUwcERERERERERGRJCaOiIiIiIiIiIhIEhNHREREREREREQk6f8DB/JCQBlla9IAAAAASUVORK5CYII=\n", +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "text/plain": [ "
" ] }, "metadata": { "filenames": { +<<<<<<< HEAD "image/png": "/Users/MortenImac/Teaching/MachineLearning/doc/src/LectureNotes/_build/jupyter_execute/regression_133_0.png" +======= + "image/png": "/Users/hjensen/Teaching/FYS-STK4150/doc/src/LectureNotes/_build/jupyter_execute/regression_133_0.png" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 } }, "output_type": "display_data" @@ -2030,8 +2248,13 @@ "\n", "The model performance for testing set\n", "--------------------------------------\n", +<<<<<<< HEAD "RMSE is 5.137400784702911\n", "R2 score is 0.6628996975186953\n" +======= + "RMSE is 5.137400784702912\n", + "R2 score is 0.6628996975186952\n" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 ] } ], @@ -2076,14 +2299,22 @@ "outputs": [ { "data": { +<<<<<<< HEAD "image/png": 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\n", 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\n", +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "text/plain": [ "
" ] }, "metadata": { "filenames": { +<<<<<<< HEAD "image/png": "/Users/MortenImac/Teaching/MachineLearning/doc/src/LectureNotes/_build/jupyter_execute/regression_140_0.png" +======= + "image/png": "/Users/hjensen/Teaching/FYS-STK4150/doc/src/LectureNotes/_build/jupyter_execute/regression_140_0.png" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 } }, "output_type": "display_data" @@ -2181,6 +2412,7 @@ "MSE before scaling: 0.00\n", "R2 score before scaling 0.99\n", "Feature min values before scaling:\n", +<<<<<<< HEAD " [1.00000000e+00 5.70647611e-04 2.86109530e-05 3.25638696e-07\n", " 1.63267720e-08 8.18586633e-10 1.85824944e-10 9.31683343e-12\n", " 4.67124506e-13 2.34205437e-14 1.06040560e-13 5.31662874e-15\n", @@ -2202,6 +2434,29 @@ " 2.59210628 2.60447702 2.61644742 2.6280031 2.9321519 2.94723175\n", " 2.96200187 2.97645003 2.99056362 3.23417362 3.25065381 3.26687534\n", " 3.28282987 3.2985088 3.3139033 ]\n", +======= + " [1.00000000e+00 3.41860739e-03 3.03733002e-03 1.16868765e-05\n", + " 1.03834388e-05 9.22537365e-06 3.99528422e-08 3.54969007e-08\n", + " 3.15379305e-08 2.80205043e-08 1.36583081e-10 1.21349967e-10\n", + " 1.07815802e-10 9.57911031e-11 8.51075190e-11 4.66923931e-13\n", + " 4.14847893e-13 3.68579898e-13 3.27472173e-13 2.90949193e-13\n", + " 2.58499622e-13]\n", + "Feature max values before scaling:\n", + " [1. 0.99885903 0.99923003 0.99771937 0.99808994 0.99846064\n", + " 0.99658101 0.99695115 0.99732143 0.99769185 0.99544394 0.99581367\n", + " 0.99618353 0.99655352 0.99692366 0.99430818 0.99467748 0.99504691\n", + " 0.99541649 0.9957862 0.99615605]\n", + "Feature min values after scaling:\n", + " [ 0. -1.7254643 -1.67770844 -1.10618517 -1.1025354 -1.09809372\n", + " -0.86168855 -0.86697524 -0.87176225 -0.87600208 -0.72427577 -0.73199173\n", + " -0.7395003 -0.74676012 -0.75372886 -0.63410995 -0.64215466 -0.65016915\n", + " -0.65812548 -0.66599361 -0.67374146]\n", + "Feature max values after scaling:\n", + " [0. 1.83073388 1.70897028 2.39821909 2.29644339 2.19375534\n", + " 2.86764938 2.77826937 2.68697805 2.59393592 3.27571709 3.19719242\n", + " 3.11653264 3.03378065 2.94899889 3.64172054 3.57247381 3.50118655\n", + " 3.42784008 3.35242656 3.27495059]\n", +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "MSE after scaling: 0.00\n", "R2 score for scaled data: 0.99\n" ] @@ -2631,6 +2886,7 @@ "[[ 4. 2. 2.]\n", " [ 2. 6. -4.]\n", " [ 2. -4. 6.]]\n", +<<<<<<< HEAD "[[-1.96889890e-16 8.16496581e-01 -5.77350269e-01]\n", " [-7.07106781e-01 4.08248290e-01 5.77350269e-01]\n", " [ 7.07106781e-01 4.08248290e-01 5.77350269e-01]]\n", @@ -2641,6 +2897,18 @@ "[[ 1.39583657e+30 -1.39583657e+30 -1.39583657e+30]\n", " [-1.39583657e+30 1.39583657e+30 1.39583657e+30]\n", " [-1.39583657e+30 1.39583657e+30 1.39583657e+30]]\n" +======= + "[[-9.57425734e-17 8.16496581e-01 -5.77350269e-01]\n", + " [-7.07106781e-01 4.08248290e-01 5.77350269e-01]\n", + " [ 7.07106781e-01 4.08248290e-01 5.77350269e-01]]\n", + "[1.00000000e+01 6.00000000e+00 9.10898112e-32]\n", + "[[ 3.33066907e-17 -7.07106781e-01 7.07106781e-01]\n", + " [ 8.16496581e-01 4.08248290e-01 4.08248290e-01]\n", + " [ 5.77350269e-01 -5.77350269e-01 -5.77350269e-01]]\n", + "[[-3.65939208e+30 3.65939208e+30 3.65939208e+30]\n", + " [ 3.65939208e+30 -3.65939208e+30 -3.65939208e+30]\n", + " [ 3.65939208e+30 -3.65939208e+30 -3.65939208e+30]]\n" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 ] } ], @@ -3438,10 +3706,17 @@ "name": "stdout", "output_type": "stream", "text": [ +<<<<<<< HEAD "-0.0735582043568682\n", "3.7149125577492423\n", "[[0.83993344 2.70399972]\n", " [2.70399972 9.43403589]]\n" +======= + "0.04140991370132292\n", + "4.133094065754784\n", + "[[0.83862682 2.46540728]\n", + " [2.46540728 8.112507 ]]\n" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 ] } ], @@ -3480,10 +3755,17 @@ "name": "stdout", "output_type": "stream", "text": [ +<<<<<<< HEAD "0.07408034549174136\n", "1.227878920600447\n", "[[1. 0.56471431]\n", " [0.56471431 1. ]]\n" +======= + "0.07656990655277283\n", + "1.8665678444491798\n", + "[[1. 0.69108461]\n", + " [0.69108461 1. ]]\n" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 ] } ], @@ -3535,6 +3817,7 @@ "name": "stdout", "output_type": "stream", "text": [ +<<<<<<< HEAD "[[ 1.07759721 4.53322612]\n", " [-0.00649067 -1.36010021]\n", " [-0.85832442 -3.75508933]\n", @@ -3559,6 +3842,32 @@ " 0 1\n", "0 1.000000 0.971936\n", "1 0.971936 1.000000\n" +======= + "[[-0.64776602 -0.79292513]\n", + " [ 1.68156561 4.88768237]\n", + " [-1.08504058 -3.69264564]\n", + " [ 1.2289263 3.27086518]\n", + " [ 0.53948725 0.9271575 ]\n", + " [-1.49466842 -4.88750576]\n", + " [-0.61503889 -1.84939235]\n", + " [ 0.49561415 1.88023243]\n", + " [-0.07610463 -0.68642246]\n", + " [-0.02697476 0.94295385]]\n", + " 0 1\n", + "0 -0.647766 -0.792925\n", + "1 1.681566 4.887682\n", + "2 -1.085041 -3.692646\n", + "3 1.228926 3.270865\n", + "4 0.539487 0.927158\n", + "5 -1.494668 -4.887506\n", + "6 -0.615039 -1.849392\n", + "7 0.495614 1.880232\n", + "8 -0.076105 -0.686422\n", + "9 -0.026975 0.942954\n", + " 0 1\n", + "0 1.000000 0.976998\n", + "1 0.976998 1.000000\n" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 ] } ], @@ -3598,6 +3907,7 @@ "text": [ " 0 1 2 3 4 5 6 7 \\\n", "0 0.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", +<<<<<<< HEAD "1 0.0 0.084667 0.085622 0.084600 0.084265 0.083876 0.075986 0.075499 \n", "2 0.0 0.085622 0.088547 0.088431 0.089114 0.089546 0.081167 0.081248 \n", "3 0.0 0.084600 0.088431 0.089974 0.091151 0.092025 0.084268 0.084657 \n", @@ -3629,6 +3939,39 @@ "12 0.080434 0.081724 0.074132 0.075229 0.076226 0.077148 0.078014 \n", "13 0.081207 0.082600 0.074882 0.076069 0.077148 0.078145 0.079080 \n", "14 0.081935 0.083420 0.075591 0.076860 0.078014 0.079080 0.080079 \n" +======= + "1 0.0 0.078592 0.080857 0.080360 0.081589 0.082766 0.072541 0.073589 \n", + "2 0.0 0.080857 0.084290 0.081925 0.083646 0.085326 0.073569 0.074907 \n", + "3 0.0 0.080360 0.081925 0.086912 0.088010 0.089049 0.081480 0.082496 \n", + "4 0.0 0.081589 0.083646 0.088010 0.089395 0.090727 0.082323 0.083538 \n", + "5 0.0 0.082766 0.085326 0.089049 0.090727 0.092363 0.083106 0.084525 \n", + "6 0.0 0.072541 0.073569 0.081480 0.082323 0.083106 0.078559 0.079374 \n", + "7 0.0 0.073589 0.074907 0.082496 0.083538 0.084525 0.079374 0.080338 \n", + "8 0.0 0.074700 0.076320 0.083569 0.084817 0.086017 0.080230 0.081349 \n", + "9 0.0 0.075881 0.077815 0.084701 0.086164 0.087586 0.081130 0.082412 \n", + "10 0.0 0.064487 0.065152 0.074449 0.075044 0.075578 0.073336 0.073934 \n", + "11 0.0 0.065356 0.066219 0.075303 0.076047 0.076733 0.074023 0.074738 \n", + "12 0.0 0.066293 0.067363 0.076224 0.077122 0.077967 0.074765 0.075601 \n", + "13 0.0 0.067302 0.068589 0.077214 0.078273 0.079283 0.075564 0.076525 \n", + "14 0.0 0.068386 0.069900 0.078277 0.079503 0.080687 0.076421 0.077514 \n", + "\n", + " 8 9 10 11 12 13 14 \n", + "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "1 0.074700 0.075881 0.064487 0.065356 0.066293 0.067302 0.068386 \n", + "2 0.076320 0.077815 0.065152 0.066219 0.067363 0.068589 0.069900 \n", + "3 0.083569 0.084701 0.074449 0.075303 0.076224 0.077214 0.078277 \n", + "4 0.084817 0.086164 0.075044 0.076047 0.077122 0.078273 0.079503 \n", + "5 0.086017 0.087586 0.075578 0.076733 0.077967 0.079283 0.080687 \n", + "6 0.080230 0.081130 0.073336 0.074023 0.074765 0.075564 0.076421 \n", + "7 0.081349 0.082412 0.073934 0.074738 0.075601 0.076525 0.077514 \n", + "8 0.082522 0.083753 0.074560 0.075485 0.076474 0.077530 0.078656 \n", + "9 0.083753 0.085160 0.075217 0.076268 0.077388 0.078581 0.079851 \n", + "10 0.074560 0.075217 0.069627 0.070134 0.070683 0.071275 0.071913 \n", + "11 0.075485 0.076268 0.070134 0.070733 0.071378 0.072072 0.072814 \n", + "12 0.076474 0.077388 0.070683 0.071378 0.072124 0.072922 0.073775 \n", + "13 0.077530 0.078581 0.071275 0.072072 0.072922 0.073830 0.074797 \n", + "14 0.078656 0.079851 0.071913 0.072814 0.073775 0.074797 0.075884 \n" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 ] } ], @@ -4212,10 +4555,17 @@ "name": "stdout", "output_type": "stream", "text": [ +<<<<<<< HEAD "Runtime: 0.233321 sec\n", "Jackknife Statistics :\n", "original bias std. error\n", " 99.6932 99.6833 0.149184\n" +======= + "Runtime: 0.402381 sec\n", + "Jackknife Statistics :\n", + "original bias std. error\n", + " 99.8665 99.8565 0.150694\n" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 ] } ], @@ -4364,10 +4714,17 @@ "name": "stdout", "output_type": "stream", "text": [ +<<<<<<< HEAD "Runtime: 2.03116 sec\n", "Bootstrap Statistics :\n", "original bias std. error\n", " 99.8535 14.9035 99.8557 0.149538\n" +======= + "Runtime: 2.03903 sec\n", + "Bootstrap Statistics :\n", + "original bias std. error\n", + " 100.101 14.9209 100.102 0.149138\n" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 ] }, { @@ -4378,25 +4735,42 @@ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 29\u001b[0m \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbootstrap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdatapoints\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 30\u001b[0m \u001b[0;31m# the histogram of the bootstrapped data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m \u001b[0mn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbinsboot\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpatches\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m50\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnormed\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfacecolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'red'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.75\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 32\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 33\u001b[0m \u001b[0;31m# add a 'best fit' line\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", +<<<<<<< HEAD "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/matplotlib/pyplot.py\u001b[0m in \u001b[0;36mhist\u001b[0;34m(x, bins, range, density, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, data, **kwargs)\u001b[0m\n\u001b[1;32m 2608\u001b[0m \u001b[0malign\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0malign\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morientation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0morientation\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrwidth\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlog\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2609\u001b[0m color=color, label=label, stacked=stacked, **({\"data\": data}\n\u001b[0;32m-> 2610\u001b[0;31m if data is not None else {}), **kwargs)\n\u001b[0m\u001b[1;32m 2611\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2612\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/matplotlib/__init__.py\u001b[0m in \u001b[0;36minner\u001b[0;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1563\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0minner\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1564\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1565\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msanitize_sequence\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1566\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1567\u001b[0m \u001b[0mbound\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_sig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbind\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py\u001b[0m in \u001b[0;36mhist\u001b[0;34m(self, x, bins, range, density, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, **kwargs)\u001b[0m\n\u001b[1;32m 6806\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mpatch\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6807\u001b[0m \u001b[0mp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpatch\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6808\u001b[0;31m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6809\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlbl\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6810\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_label\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlbl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", 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{!r}'\n\u001b[0m\u001b[1;32m 1002\u001b[0m .format(type(self).__name__, k))\n\u001b[1;32m 1003\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "\u001b[0;31mAttributeError\u001b[0m: 'Rectangle' object has no property 'normed'" ] }, { "data": { +<<<<<<< HEAD "image/png": 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\n", 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\n", +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 "text/plain": [ "
" ] }, "metadata": { "filenames": { +<<<<<<< HEAD "image/png": "/Users/MortenImac/Teaching/MachineLearning/doc/src/LectureNotes/_build/jupyter_execute/regression_278_2.png" +======= + "image/png": "/Users/hjensen/Teaching/FYS-STK4150/doc/src/LectureNotes/_build/jupyter_execute/regression_278_2.png" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 } }, "output_type": "display_data" @@ -5011,7 +5385,11 @@ }, "metadata": { "filenames": { +<<<<<<< HEAD "image/png": "/Users/MortenImac/Teaching/MachineLearning/doc/src/LectureNotes/_build/jupyter_execute/regression_300_1.png" +======= + "image/png": "/Users/hjensen/Teaching/FYS-STK4150/doc/src/LectureNotes/_build/jupyter_execute/regression_300_1.png" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 } }, "output_type": "display_data" @@ -6277,7 +6655,11 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", +<<<<<<< HEAD "version": "3.6.8" +======= + "version": "3.8.3" +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 } }, "nbformat": 4, diff --git a/doc/src/LectureNotes/_build/latex/reports/gettingstarted.log b/doc/src/LectureNotes/_build/latex/reports/gettingstarted.log index 624409c60..4066344c2 100644 --- a/doc/src/LectureNotes/_build/latex/reports/gettingstarted.log +++ b/doc/src/LectureNotes/_build/latex/reports/gettingstarted.log @@ -1,4 +1,5 @@ Traceback (most recent call last): +<<<<<<< HEAD File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/jupyter_cache/executors/utils.py", line 56, in single_nb_execution record_timing=False, File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/nbclient/client.py", line 1082, in execute @@ -14,6 +15,23 @@ Traceback (most recent call last): File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/nbclient/client.py", line 827, in async_execute_cell self._check_raise_for_error(cell, exec_reply) File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/nbclient/client.py", line 735, in _check_raise_for_error +======= + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 1082, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped + return just_run(coro(*args, **kwargs)) + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run + return loop.run_until_complete(coro) + File "/Users/hjensen/opt/anaconda3/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 535, in async_execute + await self.async_execute_cell( + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 827, in async_execute_cell + self._check_raise_for_error(cell, exec_reply) + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 735, in _check_raise_for_error +>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64 raise CellExecutionError.from_cell_and_msg(cell, exec_reply['content']) nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell: ------------------ diff --git a/doc/src/LectureNotes/_build/latex/reports/regression.log b/doc/src/LectureNotes/_build/latex/reports/regression.log new file mode 100644 index 000000000..2d6f09692 --- /dev/null +++ b/doc/src/LectureNotes/_build/latex/reports/regression.log @@ -0,0 +1,116 @@ +Traceback (most recent call last): + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 1082, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped + return just_run(coro(*args, **kwargs)) + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run + return loop.run_until_complete(coro) + File "/Users/hjensen/opt/anaconda3/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 535, in async_execute + await self.async_execute_cell( + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 827, in async_execute_cell + self._check_raise_for_error(cell, exec_reply) + File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 735, in _check_raise_for_error + raise CellExecutionError.from_cell_and_msg(cell, exec_reply['content']) +nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell: +------------------ +from numpy import * +from numpy.random import randint, randn +from time import time +import matplotlib.mlab as mlab +import matplotlib.pyplot as plt + +# Returns mean of bootstrap samples +def stat(data): + return mean(data) + +# Bootstrap algorithm +def bootstrap(data, statistic, R): + t = zeros(R); n = len(data); inds = arange(n); t0 = time() + # non-parametric bootstrap + for i in range(R): + t[i] = statistic(data[randint(0,n,n)]) + + # analysis + print("Runtime: %g sec" % (time()-t0)); print("Bootstrap Statistics :") + print("original bias std. error") + print("%8g %8g %14g %15g" % (statistic(data), std(data),mean(t),std(t))) + return t + + +mu, sigma = 100, 15 +datapoints = 10000 +x = mu + sigma*random.randn(datapoints) +# bootstrap returns the data sample +t = bootstrap(x, stat, datapoints) +# the histogram of the bootstrapped data +n, binsboot, patches = plt.hist(t, 50, normed=1, facecolor='red', alpha=0.75) + +# add a 'best fit' line +y = mlab.normpdf( binsboot, mean(t), std(t)) +lt = plt.plot(binsboot, y, 'r--', linewidth=1) +plt.xlabel('Smarts') +plt.ylabel('Probability') +plt.axis([99.5, 100.6, 0, 3.0]) +plt.grid(True) + +plt.show() +------------------ + +--------------------------------------------------------------------------- +AttributeError Traceback (most recent call last) + in  + 29 t = bootstrap(x, stat, datapoints) + 30 # the histogram of the bootstrapped data +---> 31 n, binsboot, patches = plt.hist(t, 50, normed=1, facecolor='red', alpha=0.75) + 32  + 33 # add a 'best fit' line + +~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/pyplot.py in hist(x, bins, range, density, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, data, **kwargs) + 2603 orientation='vertical', rwidth=None, log=False, color=None, + 2604 label=None, stacked=False, *, data=None, **kwargs): +-> 2605 return gca().hist( + 2606 x, bins=bins, range=range, density=density, weights=weights, + 2607 cumulative=cumulative, bottom=bottom, histtype=histtype, + +~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs) + 1563 def inner(ax, *args, data=None, **kwargs): + 1564 if data is None: +-> 1565 return func(ax, *map(sanitize_sequence, args), **kwargs) + 1566  + 1567 bound = new_sig.bind(ax, *args, **kwargs) + +~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/axes/_axes.py in hist(self, x, bins, range, density, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, **kwargs) + 6817 if patch: + 6818 p = patch[0] +-> 6819 p.update(kwargs) + 6820 if lbl is not None: + 6821 p.set_label(lbl) + +~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/artist.py in update(self, props) + 1004  + 1005 with cbook._setattr_cm(self, eventson=False): +-> 1006 ret = [_update_property(self, k, v) for k, v in props.items()] + 1007  + 1008 if len(ret): + +~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/artist.py in (.0) + 1004  + 1005 with cbook._setattr_cm(self, eventson=False): +-> 1006 ret = [_update_property(self, k, v) for k, v in props.items()] + 1007  + 1008 if len(ret): + +~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/artist.py in _update_property(self, k, v) + 999 func = getattr(self, 'set_' + k, None) + 1000 if not callable(func): +-> 1001 raise AttributeError('{!r} object has no property {!r}' + 1002 .format(type(self).__name__, k)) + 1003 return func(v) + +AttributeError: 'Rectangle' object has no property 'normed' +AttributeError: 'Rectangle' object has no property 'normed' + diff --git a/doc/src/LectureNotes/_toc.yml b/doc/src/LectureNotes/_toc.yml index 6a57c9727..6b339ecb6 100644 --- a/doc/src/LectureNotes/_toc.yml +++ b/doc/src/LectureNotes/_toc.yml @@ -1,4 +1,4 @@ -- file: introduction.ipynb +- file: intro.md - part: Getting started #includes also linear algebra chapters: - file: gettingstarted.ipynb diff --git a/doc/src/LectureNotes/introduction.md b/doc/src/LectureNotes/introduction.md new file mode 100644 index 000000000..5d5627872 --- /dev/null +++ b/doc/src/LectureNotes/introduction.md @@ -0,0 +1,339 @@ + +# Introduction to Applied Data Analysis and Machine Learning + + +**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University + +Date: **Nov 19, 2019** + +Copyright 1999-2019, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license + + + + + +## Introduction + +During the last two decades there has been a swift and amazing +development of Machine Learning techniques and algorithms that impact +many areas in not only Science and Technology but also the Humanities, +Social Sciences, Medicine, Law, indeed, almost all possible +disciplines. The applications are incredibly many, from self-driving +cars to solving high-dimensional differential equations or complicated +quantum mechanical many-body problems. Machine Learning is perceived +by many as one of the main disruptive techniques nowadays. + +Statistics, Data science and Machine Learning form important +fields of research in modern science. They describe how to learn and +make predictions from data, as well as allowing us to extract +important correlations about physical process and the underlying laws +of motion in large data sets. The latter, big data sets, appear +frequently in essentially all disciplines, from the traditional +Science, Technology, Mathematics and Engineering fields to Life +Science, Law, education research, the Humanities and the Social +Sciences. + +It has become more +and more common to see research projects on big data in for example +the Social Sciences where extracting patterns from complicated survey +data is one of many research directions. Having a solid grasp of data +analysis and machine learning is thus becoming central to scientific +computing in many fields, and competences and skills within the fields +of machine learning and scientific computing are nowadays strongly +requested by many potential employers. The latter cannot be +overstated, familiarity with machine learning has almost become a +prerequisite for many of the most exciting employment opportunities, +whether they are in bioinformatics, life science, physics or finance, +in the private or the public sector. This author has had several +students or met students who have been hired recently based on their +skills and competences in scientific computing and data science, often +with marginal knowledge of machine learning. + +Machine learning is a subfield of computer science, and is closely +related to computational statistics. It evolved from the study of +pattern recognition in artificial intelligence (AI) research, and has +made contributions to AI tasks like computer vision, natural language +processing and speech recognition. Many of the methods we will study are also +strongly rooted in basic mathematics and physics research. + +Ideally, machine learning represents the science of giving computers +the ability to learn without being explicitly programmed. The idea is +that there exist generic algorithms which can be used to find patterns +in a broad class of data sets without having to write code +specifically for each problem. The algorithm will build its own logic +based on the data. You should however always keep in mind that +machines and algorithms are to a large extent developed by humans. The +insights and knowledge we have about a specific system, play a central +role when we develop a specific machine learning algorithm. + +Machine learning is an extremely rich field, in spite of its young +age. The increases we have seen during the last three decades in +computational capabilities have been followed by developments of +methods and techniques for analyzing and handling large date sets, +relying heavily on statistics, computer science and mathematics. The +field is rather new and developing rapidly. Popular software packages +written in Python for machine learning like +[Scikit-learn](http://scikit-learn.org/stable/), +[Tensorflow](https://www.tensorflow.org/), +[PyTorch](http://pytorch.org/) and [Keras](https://keras.io/), all +freely available at their respective GitHub sites, encompass +communities of developers in the thousands or more. And the number of +code developers and contributors keeps increasing. Not all the +algorithms and methods can be given a rigorous mathematical +justification, opening up thereby large rooms for experimenting and +trial and error and thereby exciting new developments. However, a +solid command of linear algebra, multivariate theory, probability +theory, statistical data analysis, understanding errors and Monte +Carlo methods are central elements in a proper understanding of many +of algorithms and methods we will discuss. + + + +## Learning outcomes + +These sets of lectures aim at giving you an overview of central aspects of +statistical data analysis as well as some of the central algorithms +used in machine learning. We will introduce a variety of central +algorithms and methods essential for studies of data analysis and +machine learning. + +Hands-on projects and experimenting with data and algorithms plays a central role in +these lectures, and our hope is, through the various +projects and exercises, to expose you to fundamental +research problems in these fields, with the aim to reproduce state of +the art scientific results. You will learn to develop and +structure codes for studying these systems, get acquainted with +computing facilities and learn to handle large scientific projects. A +good scientific and ethical conduct is emphasized throughout the +course. More specifically, you will + +1. Learn about basic data analysis, Bayesian statistics, Monte Carlo methods, data optimization and machine learning; + +2. Be capable of extending the acquired knowledge to other systems and cases; + +3. Have an understanding of central algorithms used in data analysis and machine learning; + +4. Gain knowledge of central aspects of Monte Carlo methods, Markov chains, Gibbs samplers and their possible applications, from numerical integration to simulation of stock markets; + +5. Understand methods for regression and classification; + +6. Learn about neural network, genetic algorithms and Boltzmann machines; + +7. Work on numerical projects to illustrate the theory. The projects play a central role and you are expected to know modern programming languages like Python or C++, in addition to a basic knowledge of linear algebra (typically taught during the first one or two years of undergraduate studies). + +There are several topics we will cover here, spanning from +statistical data analysis and its basic concepts such as expectation +values, variance, covariance, correlation functions and errors, via +well-known probability distribution functions like the uniform +distribution, the binomial distribution, the Poisson distribution and +simple and multivariate normal distributions to central elements of +Bayesian statistics and modeling. We will also remind the reader about +central elements from linear algebra and standard methods based on +linear algebra used to optimize (minimize) functions (the family of gradient descent methods) +and the Singular-value decomposition and +least square methods for parameterizing data. + +We will also cover Monte Carlo methods, Markov chains, well-known +algorithms for sampling stochastic events like the Metropolis-Hastings +and Gibbs sampling methods. An important aspect of all our +calculations is a proper estimation of errors. Here we will also +discuss famous resampling techniques like the blocking, the bootstrapping +and the jackknife methods and the infamous bias-variance tradeoff. + +The second part of the material covers several algorithms used in +machine learning. + + + + + + +## Types of Machine Learning + + +The approaches to machine learning are many, but are often split into +two main categories. In *supervised learning* we know the answer to a +problem, and let the computer deduce the logic behind it. On the other +hand, *unsupervised learning* is a method for finding patterns and +relationship in data sets without any prior knowledge of the system. +Some authours also operate with a third category, namely +*reinforcement learning*. This is a paradigm of learning inspired by +behavioral psychology, where learning is achieved by trial-and-error, +solely from rewards and punishment. + +Another way to categorize machine learning tasks is to consider the +desired output of a system. Some of the most common tasks are: + + * Classification: Outputs are divided into two or more classes. The goal is to produce a model that assigns inputs into one of these classes. An example is to identify digits based on pictures of hand-written ones. Classification is typically supervised learning. + + * Regression: Finding a functional relationship between an input data set and a reference data set. The goal is to construct a function that maps input data to continuous output values. + + * Clustering: Data are divided into groups with certain common traits, without knowing the different groups beforehand. It is thus a form of unsupervised learning. + +The methods we cover have three main topics in common, irrespective of +whether we deal with supervised or unsupervised learning. The first +ingredient is normally our data set (which can be subdivided into +training and test data), the second item is a model which is normally +a function of some parameters. The model reflects our knowledge of +the system (or lack thereof). As an example, if we know that our data +show a behavior similar to what would be predicted by a polynomial, +fitting our data to a polynomial of some degree would then determin +our model. + +The last ingredient is a so-called **cost** +function which allows us to present an estimate on how good our model +is in reproducing the data it is supposed to train. + +Here we will build our machine learning approach on elements of the +statistical foundation discussed above, with elements from data +analysis, stochastic processes etc. We will discuss the following +machine learning algorithms + +1. Linear regression and its variants + +2. Decision tree algorithms, from single trees to random forests + +3. Bayesian statistics and regression + +4. Support vector machines and finally various variants of + +5. Artifical neural networks and deep learning, including convolutional neural networks and Bayesian neural networks + +6. Networks for unsupervised learning using for example reduced Boltzmann machines. + +## Choice of programming language + +Python plays nowadays a central role in the development of machine +learning techniques and tools for data analysis. In particular, seen +the wealth of machine learning and data analysis libraries written in +Python, easy to use libraries with immediate visualization(and not the +least impressive galleries of existing examples), the popularity of the +Jupyter notebook framework with the possibility to run **R** codes or +compiled programs written in C++, and much more made our choice of +programming language for this series of lectures easy. However, +since the focus here is not only on using existing Python libraries such +as **Scikit-Learn** or **Tensorflow**, but also on developing your own +algorithms and codes, we will as far as possible present many of these +algorithms either as a Python codes or C++ or Fortran (or other languages) codes. + +The reason we also focus on compiled languages like C++ (or +Fortran), is that Python is still notoriously slow when we do not +utilize highly streamlined computational libraries like +[Lapack](http://www.netlib.org/lapack/) or other numerical libraries +written in compiled languages (many of these libraries are written in +Fortran). Although a project like [Numba](https://numba.pydata.org/) +holds great promise for speeding up the unrolling of lengthy loops, C++ +and Fortran are presently still the performance winners. Numba gives +you potentially the power to speed up your applications with high +performance functions written directly in Python. In particular, +array-oriented and math-heavy Python code can achieve similar +performance to C, C++ and Fortran. However, even with these speed-ups, +for codes involving heavy Markov Chain Monte Carlo analyses and +optimizations of cost functions, C++/C or Fortran codes tend to +outperform Python codes. + +Presently thus, the community tends to let +code written in C++/C or Fortran do the heavy duty numerical +number crunching and leave the post-analysis of the data to the above +mentioned Python modules or software packages. However, with the developments taking place in for example the Python community, and seen +the changes during the last decade, the above situation may change swiftly in the not too distant future. + +Many of the examples we discuss in this series of lectures come with +existing data files or provide code examples which produce the data to +be analyzed. Most of the applications we will discuss deal with +small data sets (less than a terabyte of information) and can easily +be analyzed and tested on standard off the shelf laptops you find in general +stores. + +## Data handling, machine learning and ethical aspects + +In most of the cases we will study, we will either generate the data +to analyze ourselves (both for supervised learning and unsupervised +learning) or we will recur again and again to data present in say +**Scikit-Learn** or **Tensorflow**. Many of the examples we end up +dealing with are from a privacy and data protection point of view, +rather inoccuous and boring results of numerical +calculations. However, this does not hinder us from developing a sound +ethical attitude to the data we use, how we analyze the data and how +we handle the data. + +The most immediate and simplest possible ethical aspects deal with our +approach to the scientific process. Nowadays, with version control +software like [Git](https://git-scm.com/) and various online +repositories like [Github](https://github.com/), +[Gitlab](https://about.gitlab.com/) etc, we can easily make our codes +and data sets we have used, freely and easily accessible to a wider +community. This helps us almost automagically in making our science +reproducible. The large open-source development communities involved +in say [Scikit-Learn](http://scikit-learn.org/stable/), +[Tensorflow](https://www.tensorflow.org/), +[PyTorch](http://pytorch.org/) and [Keras](https://keras.io/), are +all excellent examples of this. The codes can be tested and improved +upon continuosly, helping thereby our scientific community at large in +developing data analysis and machine learning tools. It is much +easier today to gain traction and acceptance for making your science +reproducible. From a societal stand, this is an important element +since many of the developers are employees of large public institutions like +universities and research labs. Our fellow taxpayers do deserve to get +something back for their bucks. + +However, this more mechanical aspect of the ethics of science (in +particular the reproducibility of scientific results) is something +which is obvious and everybody should do so as part of the dialectics of +science. The fact that many scientists are not willing to share their codes or +data is detrimental to the scientific discourse. + +Before we proceed, we should add a disclaimer. Even though +we may dream of computers developing some kind of higher learning +capabilities, at the end (even if the artificial intelligence +community keeps touting our ears full of fancy futuristic avenues), it is we, yes you reading these lines, +who end up constructing and instructing, via various algorithms, the +machine learning approaches. Self-driving cars for example, rely on sofisticated +programs which take into account all possible situations a car can +encounter. In addition, extensive usage of training data from GPS +information, maps etc, are typically fed into the software for +self-driving cars. Adding to this various sensors and cameras that +feed information to the programs, there are zillions of ethical issues +which arise from this. + +For self-driving cars, where basically many of the standard machine +learning algorithms discussed here enter into the codes, at a certain +stage we have to make choices. Yes, we , the lads and lasses who wrote +a program for a specific brand of a self-driving car. As an example, +all carmakers have as their utmost priority the security of the +driver and the accompanying passengers. A famous European carmaker, which is +one of the leaders in the market of self-driving cars, had **if** +statements of the following type: suppose there are two obstacles in +front of you and you cannot avoid to collide with one of them. One of +the obstacles is a monstertruck while the other one is a kindergarten +class trying to cross the road. The self-driving car algo would then +opt for the hitting the small folks instead of the monstertruck, since +the likelihood of surving a collision with our future citizens, is +much higher. + +This leads to serious ethical aspects. Why should we opt for such an +option? Who decides and who is entitled to make such choices? Keep in +mind that many of the algorithms you will encounter in this series of +lectures or hear about later, are indeed based on simple programming +instructions. And you are very likely to be one of the people who may +end up writing such a code. Thus, developing a sound ethical attitude +to what we do, an approach well beyond the simple mechanistic one of +making our science available and reproducible, is much needed. The +example of the self-driving cars is just one of infinitely many cases +where we have to make choices. When you analyze data on economic +inequalities, who guarantees that you are not weighting some data in a +particular way, perhaps because you dearly want a specific conclusion +which may support your political views? Or what about the recent +claims that a famous IT company like Apple has a sexist bias on the +their recently [launched credit card](https://qz.com/1748321/the-role-of-goldman-sachs-algorithms-in-the-apple-credit-card-scandal/)? + +We do not have the answers here, nor will we venture into a deeper +discussions of these aspects, but we want you think over these topics +in a more overarching way. A statistical data analysis with its dry +numbers and graphs meant to guide the eye, does not necessarily +reflect the truth, whatever that is. As a scientist, and after a +university education, you are supposedly a better citizen, with an +improved critical view and understanding of the scientific method, and +perhaps some deeper understanding of the ethics of science at +large. Use these insights. Be a critical citizen. You owe it to our +society. diff --git a/doc/src/NeuralNet/ode.py~ b/doc/src/NeuralNet/ode.py~ new file mode 100644 index 000000000..351a6b69d --- /dev/null +++ b/doc/src/NeuralNet/ode.py~ @@ -0,0 +1,123 @@ +import tensorflow.compat.v1 as tf +tf.disable_v2_behavior() +#tf.reset_default_graph() + +# import necessary packages +import numpy as np +import matplotlib.pyplot as plt +from sklearn import datasets + + +# ensure the same random numbers appear every time +np.random.seed(0) + +plt.rcParams['figure.figsize'] = (12,12) + + +# download MNIST dataset +digits = datasets.load_digits() + +# define inputs and labels +inputs = digits.images +labels = digits.target + +print("inputs = (n_inputs, pixel_width, pixel_height) = " + str(inputs.shape)) +print("labels = (n_inputs) = " + str(labels.shape)) + + +# flatten the image +# the value -1 means dimension is inferred from the remaining dimensions: 8x8 = 64 +n_inputs = len(inputs) +inputs = inputs.reshape(n_inputs, -1) +print("X = (n_inputs, n_features) = " + str(inputs.shape)) + + +# choose some random images to display +indices = np.arange(n_inputs) +random_indices = np.random.choice(indices, size=5) + +for i, image in enumerate(digits.images[random_indices]): + plt.subplot(1, 5, i+1) + plt.axis('off') + plt.imshow(image, cmap=plt.cm.gray_r, interpolation='nearest') + plt.title("Label: %d" % digits.target[random_indices[i]]) +plt.show() + +from keras.utils import to_categorical +from sklearn.model_selection import train_test_split + +# one-hot representation of labels +labels = to_categorical(labels) + +# split into train and test data +train_size = 0.8 +test_size = 1 - train_size +X_train, X_test, Y_train, Y_test = train_test_split(inputs, labels, train_size=train_size, + test_size=test_size) + +epochs = 100 +batch_size = 100 +n_neurons_layer1 = 100 +n_neurons_layer2 = 50 +n_categories = 10 +eta_vals = np.logspace(-5, 1, 7) +lmbd_vals = np.logspace(-5, 1, 7) +from keras.models import Sequential +from keras.layers import Dense +from keras.regularizers import l2 +from keras.optimizers import SGD + +def create_neural_network_keras(n_neurons_layer1, n_neurons_layer2, n_categories, eta, lmbd): + model = Sequential() + model.add(Dense(n_neurons_layer1, activation='sigmoid', kernel_regularizer=l2(lmbd))) + model.add(Dense(n_neurons_layer2, activation='sigmoid', kernel_regularizer=l2(lmbd))) + model.add(Dense(n_categories, activation='softmax')) + + sgd = SGD(lr=eta) + model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy']) + + return model + +DNN_keras = np.zeros((len(eta_vals), len(lmbd_vals)), dtype=object) + +for i, eta in enumerate(eta_vals): + for j, lmbd in enumerate(lmbd_vals): + DNN = create_neural_network_keras(n_neurons_layer1, n_neurons_layer2, n_categories,eta=eta, lmbd=lmbd) + DNN.fit(X_train, Y_train, epochs=epochs, batch_size=batch_size, verbose=0) + scores = DNN.evaluate(X_test, Y_test) + + DNN_keras[i][j] = DNN + + print("Learning rate = ", eta) + print("Lambda = ", lmbd) + print("Test accuracy: %.3f" % scores[1]) + print() + +import seaborn as sns + +sns.set() + +train_accuracy = np.zeros((len(eta_vals), len(lmbd_vals))) +test_accuracy = np.zeros((len(eta_vals), len(lmbd_vals))) + +for i in range(len(eta_vals)): + for j in range(len(lmbd_vals)): + DNN = DNN_keras[i][j] + + train_accuracy[i][j] = DNN.evaluate(X_train, Y_train)[1] + test_accuracy[i][j] = DNN.evaluate(X_test, Y_test)[1] + + +fig, ax = plt.subplots(figsize = (10, 10)) +sns.heatmap(train_accuracy, annot=True, ax=ax, cmap="viridis") +ax.set_title("Training Accuracy") +ax.set_ylabel("$\eta$") +ax.set_xlabel("$\lambda$") +plt.show() + +fig, ax = plt.subplots(figsize = (10, 10)) +sns.heatmap(test_accuracy, annot=True, ax=ax, cmap="viridis") +ax.set_title("Test Accuracy") +ax.set_ylabel("$\eta$") +ax.set_xlabel("$\lambda$") +plt.show() diff --git a/doc/src/Regression/Bootstrap.py b/doc/src/Regression/Bootstrap.py new file mode 100644 index 000000000..6bc514447 --- /dev/null +++ b/doc/src/Regression/Bootstrap.py @@ -0,0 +1,42 @@ +from numpy import * +from numpy.random import randint, randn +from time import time +import matplotlib.mlab as mlab +import matplotlib.pyplot as plt + +# Returns mean of bootstrap samples +def stat(data): + return mean(data) + +# Bootstrap algorithm +def bootstrap(data, statistic, R): + t = zeros(R); n = len(data); inds = arange(n); t0 = time() + # non-parametric bootstrap + for i in range(R): + t[i] = statistic(data[randint(0,n,n)]) + + # analysis + print("Runtime: %g sec" % (time()-t0)); print("Bootstrap Statistics :") + print("original bias std. error") + print("%8g %8g %14g %15g" % (statistic(data), std(data),mean(t),std(t))) + return t + + +mu, sigma = 100, 15 +datapoints = 10000 +x = mu + sigma*random.randn(datapoints) +# bootstrap returns the data sample +t = bootstrap(x, stat, datapoints) +# the histogram of the bootstrapped data +n, binsboot, patches = plt.hist(t, 50, facecolor='red', alpha=0.75) + +# add a 'best fit' line +#y = mlab.normpdf( binsboot, mean(t), std(t)) +#lt = plt.plot(binsboot, y, 'r--', linewidth=1) +plt.xlabel('Smarts') +plt.ylabel('Probability') +plt.axis([95, 105, 0, 10.0]) +plt.grid(True) + +plt.show() +