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@johnburnmurdoch
Last active March 9, 2016 04:44
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Share of minutes played broken down by nationality, across Premier League seasons
seasonStart group total share barTops barBases
1 1992 Other EU 22536 0.024715160408366 0.024715160408366 0
2 1992 non-EU 41531 0.0455469172399649 0.070262077648331 0.024715160408366
3 1992 Ireland 63597 0.0697466301247273 0.140008707773058 0.070262077648331
4 1992 Rest of UK 146838 0.16103677334237 0.301045481115428 0.140008707773058
5 1992 England 637327 0.698954518884572 1 0.301045481115428
6 1993 Other EU 27526 0.0301765248869175 0.0301765248869175 0
7 1993 non-EU 62492 0.0685094599009391 0.0986859847878566 0.0301765248869175
8 1993 Ireland 54388 0.0596251120958247 0.158311096883681 0.0986859847878566
9 1993 Rest of UK 124047 0.135991694494204 0.294302791377885 0.158311096883681
10 1993 England 643713 0.705697208622115 1 0.294302791377885
11 1994 Other EU 38339 0.0420605604490965 0.0420605604490965 0
12 1994 non-EU 69166 0.0758799322888497 0.117940492737946 0.0420605604490965
13 1994 Ireland 46808 0.0513516448916589 0.169292137629605 0.117940492737946
14 1994 Rest of UK 124478 0.136561059067337 0.305853196696942 0.169292137629605
15 1994 England 632728 0.694146803303058 1 0.305853196696942
16 1995 Other EU 48457 0.0646565757380059 0.0646565757380059 0
17 1995 non-EU 66231 0.0883725708917983 0.153029146629804 0.0646565757380059
18 1995 Ireland 41533 0.0554178252910126 0.208446971920817 0.153029146629804
19 1995 Rest of UK 100176 0.133665665045927 0.342112636966744 0.208446971920817
20 1995 England 493055 0.657887363033256 1 0.342112636966744
21 1996 Other EU 72503 0.096728961987758 0.096728961987758 0
22 1996 non-EU 85782 0.114444972169894 0.211173934157652 0.096728961987758
23 1996 Ireland 44216 0.0589902181047778 0.27016415226243 0.211173934157652
24 1996 Rest of UK 112968 0.150714830804698 0.420878983067128 0.27016415226243
25 1996 England 434079 0.579121016932872 1 0.420878983067128
26 1997 Other EU 110907 0.148439277578652 0.148439277578652 0
27 1997 non-EU 91696 0.12272704154699 0.271166319125642 0.148439277578652
28 1997 Ireland 42291 0.0566027887155794 0.327769107841221 0.271166319125642
29 1997 Rest of UK 98368 0.131656927487506 0.459426035328727 0.327769107841221
30 1997 England 403892 0.540573964671273 1 0.459426035328727
31 1998 Other EU 142275 0.189965445048548 0.189965445048548 0
32 1998 non-EU 91348 0.121967762954101 0.311933208002649 0.189965445048548
33 1998 Ireland 45649 0.0609505015007637 0.372883709503413 0.311933208002649
34 1998 Rest of UK 89469 0.11945892393638 0.492342633439793 0.372883709503413
35 1998 England 380211 0.507657366560207 1 0.492342633439793
36 1999 Other EU 146910 0.196094920032355 0.196094920032355 0
37 1999 non-EU 98931 0.132052729791852 0.328147649824207 0.196094920032355
38 1999 Ireland 47588 0.0635202848989159 0.391667934723123 0.328147649824207
39 1999 Rest of UK 91790 0.122520949627458 0.514188884350582 0.391667934723123
40 1999 England 363959 0.485811115649418 1 0.514188884350582
41 2000 Other EU 153108 0.204300903093576 0.204300903093576 0
42 2000 non-EU 96490 0.12875221503448 0.333053118128056 0.204300903093576
43 2000 Ireland 52717 0.0703433570315335 0.403396475159589 0.333053118128056
44 2000 Rest of UK 84689 0.113005454855996 0.516401930015585 0.403396475159589
45 2000 England 362420 0.483598069984415 1 0.516401930015585
46 2001 Other EU 192128 0.25666174614095 0.25666174614095 0
47 2001 non-EU 96234 0.128557974257413 0.385219720398362 0.25666174614095
48 2001 Ireland 46974 0.0627520656188841 0.447971786017246 0.385219720398362
49 2001 Rest of UK 78379 0.104705670182282 0.552677456199528 0.447971786017246
50 2001 England 334850 0.447322543800472 1 0.552677456199528
51 2002 Other EU 205191 0.273947784757315 0.273947784757315 0
52 2002 non-EU 110018 0.146883573760205 0.42083135851752 0.273947784757315
53 2002 Ireland 55708 0.0743750125164383 0.495206371033958 0.42083135851752
54 2002 Rest of UK 66393 0.0886404144109263 0.583846785444884 0.495206371033958
55 2002 England 311705 0.416153214555116 1 0.583846785444884
56 2003 Other EU 211642 0.282343681212396 0.282343681212396 0
57 2003 non-EU 102899 0.13727370962793 0.419617390840326 0.282343681212396
58 2003 Ireland 60723 0.0810082845288758 0.500625675369202 0.419617390840326
59 2003 Rest of UK 67644 0.0902413319281207 0.590867007297323 0.500625675369202
60 2003 England 306682 0.409132992702677 1 0.590867007297323
61 2004 Other EU 233685 0.311963090675349 0.311963090675349 0
62 2004 non-EU 83604 0.111609055920671 0.42357214659602 0.311963090675349
63 2004 Ireland 49388 0.0659316307091775 0.489503777305197 0.42357214659602
64 2004 Rest of UK 67349 0.0899090750107799 0.579412852315977 0.489503777305197
65 2004 England 315053 0.420587147684023 1 0.579412852315977
66 2005 Other EU 223821 0.298919423532287 0.298919423532287 0
67 2005 non-EU 99783 0.133263084510936 0.432182508043223 0.298919423532287
68 2005 Ireland 46995 0.0627631826723133 0.494945690715536 0.432182508043223
69 2005 Rest of UK 66185 0.0883919830868615 0.583337673802398 0.494945690715536
70 2005 England 311983 0.416662326197602 1 0.583337673802398
71 2006 Other EU 214934 0.28648469968517 0.28648469968517 0
72 2006 non-EU 127364 0.169762984407781 0.456247684092951 0.28648469968517
73 2006 Ireland 40624 0.0541475729294125 0.510395257022363 0.456247684092951
74 2006 Rest of UK 49767 0.0663342423685031 0.576729499390866 0.510395257022363
75 2006 England 317557 0.423270500609134 1 0.576729499390866
76 2007 Other EU 221078 0.294948422249142 0.294948422249142 0
77 2007 non-EU 134360 0.179254697497692 0.474203119746834 0.294948422249142
78 2007 Ireland 45216 0.0603243554782349 0.534527475225069 0.474203119746834
79 2007 Rest of UK 62133 0.0828939574250081 0.617421432650077 0.534527475225069
80 2007 England 286761 0.382578567349923 1 0.617421432650077
81 2008 Other EU 248137 0.331128806045636 0.331128806045636 0
82 2008 non-EU 119829 0.159906961475485 0.491035767521121 0.331128806045636
83 2008 Ireland 35540 0.0474266947970754 0.538462462318196 0.491035767521121
84 2008 Rest of UK 42456 0.0566558175099784 0.595118279828175 0.538462462318196
85 2008 England 303405 0.404881720171825 1 0.595118279828175
86 2009 Other EU 237194 0.316449802347284 0.316449802347284 0
87 2009 non-EU 124943 0.166691348241004 0.483141150588289 0.316449802347284
88 2009 Ireland 51125 0.0682078642166535 0.551349014804942 0.483141150588289
89 2009 Rest of UK 66041 0.0881078838284991 0.639456898633441 0.551349014804942
90 2009 England 270244 0.360543101366559 1 0.639456898633441
91 2010 Other EU 232005 0.309203126082854 0.309203126082854 0
92 2010 non-EU 128355 0.171064275547358 0.480267401630212 0.309203126082854
93 2010 Ireland 40440 0.053896141974486 0.534163543604698 0.480267401630212
94 2010 Rest of UK 72100 0.0960907971404658 0.630254340745164 0.534163543604698
95 2010 England 277432 0.369745659254837 1 0.630254340745164
96 2011 Other EU 222663 0.296777951345386 0.296777951345386 0
97 2011 non-EU 103209 0.137562844210336 0.434340795555721 0.296777951345386
98 2011 Ireland 56697 0.0755689966785202 0.509909792234242 0.434340795555721
99 2011 Rest of UK 79118 0.105452984800098 0.61536277703434 0.509909792234242
100 2011 England 288581 0.38463722296566 1 0.61536277703434
101 2012 Other EU 274605 0.365870231682506 0.365870231682506 0
102 2012 non-EU 107100 0.142694786377511 0.508565018060017 0.365870231682506
103 2012 Ireland 44220 0.0589165588572692 0.567481576917286 0.508565018060017
104 2012 Rest of UK 67928 0.0905039350985207 0.657985512015807 0.567481576917286
105 2012 England 256700 0.342014487984193 1 0.657985512015807
106 2013 Other EU 303010 0.403662953889357 0.403662953889357 0
107 2013 non-EU 96064 0.127974251682873 0.53163720557223 0.403662953889357
108 2013 Ireland 36141 0.0481462090905094 0.579783414662739 0.53163720557223
109 2013 Rest of UK 64553 0.085996022119467 0.665779436782206 0.579783414662739
110 2013 England 250883 0.334220563217794 1 0.665779436782206
111 2014 Other EU 282911 0.376927196857863 0.376927196857863 0
112 2014 non-EU 85721 0.114207564364245 0.491134761222108 0.376927196857863
113 2014 Ireland 34373 0.0457957397824592 0.536930501004567 0.491134761222108
114 2014 Rest of UK 68442 0.0911864551302207 0.628116956134788 0.536930501004567
115 2014 England 279125 0.371883043865212 1 0.628116956134788
116 2015 Other EU 190619 0.41970201044967 0.41970201044967 0
117 2015 non-EU 63931 0.140762301921938 0.560464312371608 0.41970201044967
118 2015 Ireland 19204 0.0422830746603197 0.602747387031928 0.560464312371608
119 2015 Rest of UK 39147 0.0861932682632542 0.688940655295182 0.602747387031928
120 2015 England 141276 0.311059344704818 1 0.688940655295182
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/7vZs7p3OlpMF2zrUfsVp65II6Wo6e70C45QFs9fHdMlJXuglIeq5/68vrq1+CPq2ok8hlVeOsM20eyFZmm1riMVZfb4jLg5VN6uF2l3xHxMazwj7K6NJLunjS28gFqJkOcyx+2M5TIek1avSuhqLGTHPN8r1TXwprMKidISUJEmtk9zQVbdvxtBEny/Z7tW7ZE9ys3iGe6RHTZbC5wd7u1WeZrzAfruczb6GlZq5Z8u+RLkQfxY4YM7hGG/an0eHS2X+9cd2FL7jNb/rSRNYXnM+br5OvMh63tE76OFfi98OmJjZ2xGf+Vdaz9LW1EDKliNQu8b7Y6p7Pk2OBHKF/7GftuLx7M7jFnBNyIdQZ7haiFO+LUlZlPKW/VXeB/ngM5R+r9hjnEd0wxKNrxK4QUcwfPJ2q9viu3ojKxGsiJlwm/6inOq2LMj0oRVPcvKni2fX3ByMOo0Mh3Qb2Wwjvpzap5+39+XGmdRPacBiZCHcjf7V+U8Gj/2G9bv7ot/r4fuzwR3JzhuBD1n8ntd+u7Yc8zk9y6mj0pykjUr/lPcrQERt49jo9FULovr7tIuSi61Bmh0qpyM60pp+XoGHUu7NeDmDNcA/wvkJruih+WP9SRdoFcx+y1fbsUljhmgxYTWTrFo9ku2Mqu8V7DLgPSbQ9Zzx/+JM5fEnyD3WyZWQDfHzBmN9c7n8tf/LzA7rBlMTz3N6JToYrV8xpyEmz2mx1nhgtgnL33EaKfy35ZYS6D/U3kniCSDnIXZWtYSxkNnmx3ay8ozqZnSZrjZqpIbc/uDB02nenWtNnoxH4YyqxdCK9iARttRsz00r7h6H4mSftTUX4n9ZvUj27Gw/aWiH7PH2K9kM75HHfLgo3l7b06C2VmN67bmLYLKiM2HpafEVdGyq1MmvzqZG8Twk8zCxu82gzdWkld5n9jLjaE6k5PUocCr8e3UWllXOnfm4tZxpMR/69HWX2NTzrK9M0v7216hpXXrl9vbKW8/A47pLp75D6Qp4+gZuRPL4LyojMtNpIMsxeWAZj789ul3HWi1KrBNa8I9gXWpyhpf6XucWwX4jM/ueHl+5X1BR7MKu4j6NXxOGlYV8OPmHe4pTITO0+9vzpk+k6krTaYEZsnKsWM5muV8e2R2NKBbq/rq4d2dbLAzVXrdSbk9wIxazWvBzNIzzJ/VSD2e1qbADm2SRVwb5AnZKN0cS92OwL1yjzRBhzb9R8zjFAni0OUaW6+QB4D2oNZ9Fj/hIb1bIbX6H5aV8jC0i8jnGW+1PCKPut73qYZskMe42v+1rJX1Wm9t0nrKBkoLkeFTxIbb5H5iymXyDBHjoyWt+l9wfNndzw/Vd7vrV9x1CTjnywNg/4Arud8KPXLF3q9yZbXU4TevCZUesO9xJffb4HD3yxMc21x5hvtnGKnH2tUKv27KFnlSNrtzDI7YGX4FSkfkOvTqdNHQ5/TuMei8HH7N4/gibb+qePwl438Nim6mn/2XYG7t7wbKA8zGn7l/XRJQos4dETi2jPnfD3Xtv5fCeao5cGahFvuvuq3g+CDnrarrC8FzIddFyE67fEEWM+MW5XdR/irIUizgeMQ9P+S8/3kqTYL0fValyv9/da7UBtjnyybFO1eEY5krUd6sBedwWRiUJ11ZqLjnynKOdlda4EIL8BbOYPdoHmWpfm3ln1ep37OAedifld5GSi30rqeI/ieshpp71cN/CGqtpM+90OPLUH4d5WE4uZG6TeD4CNrwNNzeLn+FJr5A2Sh/S3lCvkXZJPspm+U7lC3EOq/T4w05Al/+mbJTfir/It+QY/Ir+Wv9P9i35bL8Xn4o/yNJ+en/AVj5pG8AAAB42lWP2wpBYRSEv3/btJOcckpIrr2EHEqIdvtKbnaKFC6ECzwtD8K0inKxZlazZpr/xwFpFlzxBqNpRHYfn4+08KXzfpMQOTwa+L3lsE2jH0bCcD4TRuFE+OdLbE7xmtJ+t42pn4+XA227YOi+LgLy1KzF/XhAynil6cqVVtaTluWuRJEyN+Oq7j6P3+5RoiKuawJLZHiJ5zyFU+sdy+30L6deR8d6ktJyFGiabq/8AEYoGSR42mNgZp7AOIGBlYGF1ZjlLAMDwywIzXSWIY1JkQEVsCNzvH08fYEU728mNrZ/bEBJdcYjCgwMk0FyjHuY0oCUAgMzAC4iC3F42mNgYGBmgGAZBkYGEPgD5DGC+SwMD4C0CYMCkCUCZPEy1DEsZljKsJphC8N/xmDGCqZjTHcUuBREFKQU5BSUFNQU9BWsFOIV1igqqf75zfT/P9g8XqD+BUBdyxnWMmxjDILqYlAQUJBQkIHqsoTrYgTqYvz/9f/j/4f+H/x/4P/+//v+5/z3+Pv777MHhx/se7D7wa4H2x9sebDmweIH9Q+M7++79ZT1IdTlJANGNga4VkYmIMGErgAYNCysbOwcnFzcPLx8/AKCQsIiomLiEpJS0jKycvIKikrKKqpq6hqaWto6unr6BoZGxiamZuYWllbWNrZ29g6OTs4urm7uHp5e3j6+fv4BgUHBIaFh4RGRUdExsXHxCYkMTc2t7f1TZs2ft2DRwsVLly9bsXL1qjVr12/csGnL5h3bd+5iyE9JTb9ZMjc380FxBkPLNIYCBoY0iOuyKhiWbKtNBrOzK28l1TVO3rf/4qVr1y9f2cqw9wDD/Tt3Hz1mKL16g6Gho76zrbunt2viJIYJM2ZOZzh4KA+oqQyIAbYflMAAAAAAA40E6QCPAHkAfwCDAIcAiwCTAMUAmgCRAJYAmgChAMYAhQB9AI0AdQCYAEQFEXjaXVG7TltBEN0NDwOBxNggOdoUs5mQxnuhBQnE1Y1iZDuF5QhpN3KRi3EBH0CBRA3arxmgoaRImwYhF0h8Qj4hEjNriKI0Ozuzc86ZM0vKkap36WvPU+ckkMLdBs02/U5ItbMA96Tr642MtIMHWmxm9Mp1+/4LBpvRlDtqAOU9bykPGU07gVq0p/7R/AqG+/wf8zsYtDTT9NQ6CekhBOabcUuD7xnNussP+oLV4WIwMKSYpuIuP6ZS/rc052rLsLWR0byDMxH5yTRAU2ttBJr+1CHV83EUS5DLprE2mJiy/iQTwYXJdFVTtcz42sFdsrPoYIMqzYEH2MNWeQweDg8mFNK3JMosDRH2YqvECBGTHAo55dzJ/qRA+UgSxrxJSjvjhrUGxpHXwKA2T7P/PJtNbW8dwvhZHMF3vxlLOvjIhtoYEWI7YimACURCRlX5hhrPvSwG5FL7z0CUgOXxj3+dCLTu2EQ8l7V1DjFWCHp+29zyy4q7VrnOi0J3b6pqqNIpzftezr7HA54eC8NBY8Gbz/v+SoH6PCyuNGgOBEN6N3r/orXqiKu8Fz6yJ9O/sVoAAAAAAQAB//8AD3javb0NfFTlmSj+vuec+f6eyWSSTL4mkzCEMQyZQ4hjDIGIkWKKNDfNpZRNKaUUqYhIkdIsm81SGtMUEVFEpBpYynpZlj1nMlJKEbWtpW7X67r+0L8/15+XutamdZW6LuuF5PB/nvc985VMwHr3XmW+zkzOeZ7nfd7n+3kOEcgiQoQ1hi8SkZjIbJWS2M1Jk1T8b3HVaPiXm5OiAG+JKuJhAx5OmoyB8ZuTFI/LnpCnLuQJLRKqtVq6X1tn+OLlv10kvUTglGT11Uu0VRojNuIiXyBJCyHRlGglPimatAskShV3TCGvqUb3GD5GXUZijqacdlIjRUerXHZnVHXAVx4aVZ0uj1e1iIkEUe2ix6s4E3Mam+fOk+PF/iJjuGaGTxbDqxc0NCxc2NCwwHey7u41sfb2WKytTUqNH2awdIn19CWABXG8mQDwJKoY5BSxEqsUVaQ4O6J/pIqZASbaxxTRrUoAgMk+plpolMxp9Hlk9n/X4IZBOOdz2gJ8sGvECJHWwzWCpIoCvmWAb9JfXCrLctIEZ0+abXZ4nyK0zOSIjgqe8oragKwSaWy0KFASrA3EUwaJfSW6K6vwKwN8ZbRYHfAVVapjStlrainAVOpWiwEmv31s1OwvNjPoFFNMNcOL363a4Ds7wBuiUWVe2en5t/4xQfxR6+n5C/4YwjdKmXtUKDP54Drs2YjPcNJRS6kZ3hS7R63FNnjjd486/Hb4gZs9e9hzET7jbwLsN/BXJeyv4JzB9HnK0+epwN+MVqZ/WYXHxQVuQUSk3B7Euryismr2pP+UBWVqaRkssyGh2m3w6ksg4ZtlXxgeshiCh2wKs0fYF4JHc8gXigV/2fFK6fme4R4a6hnq+VnJuVv5R+1t+HiUVi/W3qbrttHINrpO24+Pbdob2/g7dhzWkJKuq0vElYbdpIEcIkpZTKmQ1VrTWLKs1hodXVBWbokqjpgqmsYUYzwpOvCgKFmAY2YjxyjVcdXtGFPcbrUciC/G1SAsiSGeDJbjL4MW+POgW43AAgUcY2oMXsvdwNnRGxIJJegZdfhqZ9UGEkrEqxQllIBH8QPD1yIlqhOKwzNKrIEQfi96FQvsAN/cec1Nsr+SBvyzabjG6C8qrqKVFLaEyR9umk0jTZVUjs9rmjsjRmfTrlM7Hugcalp8dO3q+7/adWawP7XrgVVH5K6zX980/JWVJ9YfFkeGnnCePm1urDuSaO9e3tlZuaTpYN/Op7wv/co8P/JUxy0rVyztitxSP0yIgSy6+oH0tjQOezsA/B4hMhkhyRLk+Dp4UqPSWLIUeV6EJ9UvjaUaq+pER1RthLcuC3vrksaoMhfplrKzTa/Y3aqXRlNG/snIqJiayT/NdKuz4VONncSkqNoEpPPaPd5Ri4g7J6HOngkfSqvqyuADURujQNWa8kRC9aPkMJIEJ1dGYDQXFXPKANl8VKZ103y36MlNm57Ex7eXL2j78pfb2r7kEt394xfpt0bg4Mg9m0a2rljQtnx5W9uXxffZL0dGNrV9CX68YsWV89LYlYDG//7JTfzPvwRyYhnQbj/QbgaZQ+4lyWqkWi1SbZZhLGlBgrmNQJpGJoQisMuNEZCMqg84K+JWywB1YCs1Dq++CPCGmFDKPCct9lDtrIbZyB5Br1pZjbLSPcvjfZoYHZUhdtziUew628ymTQzjLOcE6HzaLDupKRCOOGmGDM3USZftWBNrPrencyiR2NHVtalrHl0VrBQeFG5s/P2v+zpObky+u3fP5p7vy9reJavoxk2nYonNt+/92/rISGx+7/KODQltqOWBpWvOdV3e0XHHm0c37mltojuD3yN8v4n15C0ml8MkXwZLaRnMHoaM8O0a5mKX/33r1W5htUEmDtJGklbUMDYLiaNIj6VE9o4qTnYmk20saSK4D002C9ucLjinKlmBhATJ4ibNfqPgL/IG/DNIK41ePvLee0cua+eFRbSUPrLwSL324h/e116sP9JOH2HXjsG1u9PXJnhtB7+2MZYyZa8tvqZa4dqilUkLB1zbqF/bSODaVrh2YJ63aa4QaSomHjcxxdiFaVQ7f9lcT5vff5/Og4tq39R+p72nfbOdXbtNeE9YZ2gkHuAixRVLGazEhNfzxhTXa6DPUI8WSexSPk665khzAKRFc8AUMEVAPpjafvKT2adXnG44Df9WnBYPr9+w9Jvnz39z6Yb1S9e//vp6Tt995CXxjPgx7PMvEoXEFJOsUgOTaYQiPsRqiSYpIysVURDaY4r1NUWIpyxsp6JqtTDMLSb4pdWCb63EArqdg9UUgjUN+UOesGcf/W/9tFs73i+E+Kt2nHYDDMGrdbSCvEKcIGcAhpRJ5xBXTJGAtmAjuGEvWCXY6dSZQF0RyDA4bGkXDQ5EZLQMgt4Nb75hlBti8+cnQrdUpJD/6MtCm9AL/FeD51apOIYPZD+VgLwR3cQC8saQBtbfRf+Nvrx7N9KmHeybCnIeaBPLt25y3jOCZI0cHetc26UdIUPbJW2zMLpbgbdGgLdEUkoUGtO3Q0pw4zLr4ARAcFnp+AFNOm54+3KI2zlXPxDHdbm8iEOlusQxXQ5bALESBo/dNaaLW9XoGlNLdXmqG1m5UtNN5DiyZbiG+Iq8chw5NVwjdFHplVeopI2/8oo2/sQPD+x/8sn9B34obKFVoFAf1X6jXUC1Sqve1N6lwTffpGXabxEvGYA0S+8TI8i+pAEln8BMQVNMMbymSq4xsDGRRQwUWMQMUEkG2CMCMwCa6mTgEpluWfWEOHTk2StFUj2jFTyLnYBzCVnK96FaDBi7EGMzLmUpO7cX9qDXgOf2lgAnGrzsMsiJZbgXi3Ev0oRi9owabHYvyMs5jXITCEWuCExN8ylfMpMY8tfTgVVD923acGph2wt3H//1Y3e+JxjN9I0tL36r98+/uehI+/LnDw1+MKD9YTeDrwXWpAlkXCnpIskAwieZx5JOhM+B8IGZYXpNLbKDfCpKyyc1CLgXmWAZXG5cESnAxBRYAUnqKUqAveD0Km40gzNK3tREQ8Cg3AIAxmpZdHxl38jbYPloJuE97YXh05ePbf3rnmPttw5uHx42Gum53UbNUfTzA6feaMnQ8W2A00m+TpKO9NqkiOQQHFHFDKYq2D3WeFJi210yWvgedLwG4kC1g3YyxZN2ZhPZUSo47PjWgRTG/Wl3MF0FqHBK44ICA+P2l/1hWNh6euYJbYBueeSVVx6hFWbxF+M/pTHtlUHtHdhlCF8H0LET4Ksg3yLJYB4dPeJYym8NOsGs8IO5ZvUzMeNACCsRQmBuWH0Gm9cNEtjrVk0AUwlYYVVo3nvBepCs/iCzHqQgp7XVo9ISoLTfq3jzKI38wGQW8oTkL5KA2h2Lfrhy+8mT/T1b2oS9Ex8FP99wiora+LPrRrpOtN+6a3vfrlCZ8Nhu7ajV+s/Pnn29GfYq2FDifsDHAxh9kSRdiJEfMJKQ6pagSwJsLOYxhgJhKCDcJYyWHO4SgDslGSwuIwM86Ad+scO2RVVv1FU90DjNupONm8ZWWnVU+6T09rrU+x+fPPXR3pGtW58cuW/rCD3Q+aNv0n/X5jkDl1InL/3Hj/uOHu3b9jdPcZ0AFp64BeA2gszkexgVt0qQl9ENwe1ECVttLjNpmNaJyyZ+cUgg0ordxisV0go4BVvPEdi3AdD9MfKXJOlHCgSNuhHUYBxLRUJ+C1AhYoJTz2FUKLGNKSVupbb6NY9qhPfGmFrLDqmVKMPg7Sz8ym4bUxvhwKxaMIEsLn8wJDIShWBtVS+SKOIBwQivDUAyY2KSXYT7PL2P8mzFnPcdu9Ytv+ftkZELm3vWPvjJydQnjx/csvXxg/dtORj93qrVO3euXvU92tN3LFj1yNr9qdT+tfsqg8f6Dv/ylyfWDw6uX3f/IH1r5ebNK3s3b0a5DT64iDahzgs2kradg2YwmP02ZjCbCvGCMZcXrKLNZWeIoggHcw/cisnmrwmWI8fC03kB1z/eql04Si2lnXWpP2R4QVx28tKlk51H12t2+mvkh21PPbUN+IEwfcN0oLic6Rs5Twsq/ljKpetApnMUexxVoOJlL6hyJmlCTyGtOFk7CslY+8I5XE3C9ZltANd3kjLw2eBCKa9+zSBaB4orjgaC4o+jL3EtG0HMuXiOvZC5fp7hIP4sCwQl/eR14S3xAuyHMGGaDBS1gSlqtDJRiRlgN6iClOBqjPod1N8v9Gql9D3BPkKb9nz88R7A5TDdL74oNrAYRRm3RqQxNEQM6CmZY+kIBO4oeBwWI+NviBG6/777aFlfH9+bOwGWdxksoTQsAETKyO0GhIUZnUyhNjc1UABmJ/2dViKseh2h0H49wukavXpJDAA/lsJuX0eSYVzXCm7doHhSA2hKzGAhiWr32Kijugw8FCfoAGdMdcBLtVstQsEKtgW6uw4nCthARRh9taJqoIbNimotUAHHqclBmL71ZZUsOCJhcEjS6jfXd4u2vbDxxK9/cJscFvZJc1ubtm25e+Pp59K8IiafWtT7zKFNJzqbO+s61y5q/e6K3rvvGb8rY1wBz2ovGC5Kg8CvC8jbBPwsdRbQGTSZRVabDWNqJXyaH1P9YOfWgrOPxF/IFjXCTdoIt5vmwh6c68YwC3qs6JW26xGXn/37Zgy0OJWb3Erpc2rQ9L+Vsufgw2jJTaW+6GgLPifhufr71d8PG4E0CaUkQZ4uKS0L3tTCYyA075OyoIyqobke749FkGXg5zWyPT6rEZZydkJxeZSGhNpcyXf8fE/K6A1FdJK6SaiaeBjhuF/XNNeLjl+zLBr59ifharTv0Nnzwy+qCWVyoY0y17CdnqAraAPd9sn+xff4q77VOvDAy0c7VhW5hpZbo40b9mq/+BBMvX30R78dfGt559ig9rpWJZDuz7V9ORRzf6F541/SAdpGz2lHrpLLH89PyO1q/1Fqvbnmds3VGn/x5FvUrt2vvaud1sZvjGypa6afp1/r+npHo9aw4BnGh4RIB0DXgOdGbuDWnSLK3FM0mgkFsWhEvWOLqXamd8y6SyWD3guLIdEXEqP0/Ufp+0cemri8+xf04MvoldM+badgFkoJ6qF98KQxuydAqsnXdBsSrWam16rBtigJsEuVoAQOMQnsQqUTV1xu9K9UG5jT5ah3DKB3ajCug+LXjByOb2ywwB74qFRjUAuA84RydUxdiIthMN/0N/voD3/+1t1L1vRfeF57ndb379zZD69k++Dg9qtEGjt+aONwIPijO4+f3LV19Zot969du/ZrfP93gk59n+3bVt3WdKetf6uF25oAvAO2ZRDJ5UazsghNnSQx+dCsFL3cckCG0MMD6BOnuaOGdNLuyxv+Zn7nkVVnL3747Kojna3/467L2nGw/Ovo6sTcYx1t2vsXLmh/aOs4JifoalhDoK80DPQ1g3a7UaeuJU1dD66el0FlASJa3OgiqQYAEP1W1WPxZEjG2DQU4S5IlO6je6mXLtMU7YOPLp6/CP+kMe0Y8zyO7aEW8DmsaR+WiCdZHPq2yVeXYG0NnI0MCIg9Awj6rczOtWC0QIhzB1b337jHyh/7xOqJfqFj4rQwII3t1jY/qHXvyV53H1zXAnKGXTd7TbOBXZO5J9YC1wRXWr+gbdIF94lk4pBw08Qv8WLLd0+8lVl3qQvWvYLcp9vGueue8hcHRW4bpy0IYAHFwZkXrOCkrwSv6/PDFdGY8IGxnrSKQeSIEo9qMjKv0A1rUZJQij2qAy0oq1cxAcN40gwTmswwHmBoDxMpnXQlFTaeXrgstfaF/xx7oWdXq/Y+Pbbi/W9pl7XTnHXmy8cX38JYZ6xBpvWDmn/NMrpGp6M0wtZPj7MoJjkTwQdjAykpWjKrh3tRiCs2N6o7oClTQul1w4QFepFAyEPCucOHJxLS2MRvhbIrAaF14ueZdaPNLCYVylm3TEQKzoYPQ+aM+w6hSCFpX084An/rwpiAg/kolrGkOZ3uAD/P6mI5DXAzHNzNMHuYN5R2L+CE3H1r2dSxce3hZ1OdO5qORmPDB8WF4z+58OoNGRgl9IWs6Efn0USSURoipFZGCF0uogUiWhIJDjKVLWAFIg1u/IeJfcL2VybOAB1eEWITRyc2CcsmlDT/noJrGNKSVxX1fUPB7NZpkRQZx4oG4BxTlsh+ODXshytPZfeCQYZz2UmnDq8xB14Hj0nYWEwCHTOw7FUnOjrcWFFMHgxzGr2KlEjjYtZxsVBcT4bNI/QsfWbXD7Uei7YM0Jkt/POVgHhuoks4MZ7QabaW7cfFBWDQt6GNySBRhwFzKRYOA+gZDzL85OtT5Ce4+GPCE4/dN7FQGhtfJJ6B6743XgqyD/flmf8X8ZhOuvDSJ3Sh9uwnl7RnD19InfzNb06mLsDWqqDrtX3aO6BjH6Z30WBePIbLZivjIx9pz5VSPpBSFhvbWxaUUkUZlrLFFasbA5hMSvuRu3w2T75iC4dKaVaX/dPZ3/72rPYKbegfHOzXXpXGnjt16nnNLAwO3Ll+gNubnVdPMjp5wIb+72lfOE2nENKpljs+Lub4VOp0qoPXSnTewe+xYIzb6AHtrxPMagchFfIkjRagXJZ0oHYDJmYLcQLOw8goGpo5ZFzVc+fGta0PdHJaNn11xvqN65puyqHoI9q/7hvv2dE9EJ6hUzVQNNi1o+3ZrTppddqiHHGQYvJlneMsnOMwQpWyOxl57ejiBzJC2RlHuezVyYsenteB9jLwm2Lg2DntzLgAQZxvTcAmCOfS/R/P/uvxvfTeU9r+/0UjfcPDfdob0tjp5IFU0cS7QtHE+8IT9925bivbn8vAbhgE+kcw9sPshsqM/sDln8k8ibJ4Wm+EMDwFG6QeXkMA39Oi1ROonIFLUORJmrygMADQSjQvytC8GCWmoqCeuzJmvNEpiSu0UvOyVss+OrT2mY7OExvW7V6z/NzuwT/+uP+ltuUv3L3t4a+v+cnGvxWTh59qajzWsvjPepd1Vy9tPjIwcmqhfKLztrVf7Vpef1t0H8sR6LLSRG4iSWNuvAJcI5bsNb6GxE4ajCwmCMo3aWSRQiMGr7JeFwapWyWXtuSwtGL37itHMYwB5x+APb6CxXGadc416nJSscpp4wZEJSaTLSjUuHED+wqo40roeQ3ujMMbtrUHRlL7948e1n53/rw2Rj8W/mOi4sXnnntReGfCcpVo41SC66JtvIvFYUI6Xmgwg3mcDcMQI5NdcAWUkzQcPUaH6PARLbgfZPP7UhGoLQprTgzjTDa/QJJ2PI/ZYsOsNZ4uRUXJaKoNZKQ0BUSoWzWid8elNPo8PzN/eJUll4lbsT/nhF8ownOnW/+/D+/HowZFnK1SwQzHnKrV+78Niu250z+byb9ULLPBGzQrVvjOYITvJPjDT/jpVMlgVoxuxfCcQTG5FfNzIkkKBis6SAssggjfWqw2e27mmOi4MnRByUVGqECtA9RKhYNacq/2n9rHe0BGl6J8Ft8DOX1+PAo0AAdX6mY2xgx9p5plFv4EGwMNC2ZAqAJKfsnKJD+/hoVdhJ7Run9C76Ddo1o3PXtKe1x7QugX1msBOjZxYGK7QDSScw0z6mxT3npZmGmAEs2Kks3EXXSVmPKWD9gvrND19JvHtSYwiCb+XvjCRMXEZcGo58JAX19i+m22rq9NIo8mouJGDcesSdXEA7BgiHr4ZpT1yHHI3yr8dGKNeGDic4Jqlrp2m68oaf19tVvoMsiwh5pYZMJgZpEJah7TqyVSJjcrpQCDw2AfS38S4/r2CaStZSAVODTHDW8PX2keJlNzHaRwrsMHq2k9QMcPGOTLIZ57o+8zeOYT5HYC8IgxDAgzeEzpqIeVJ5KpA5gW9rk7DZgpHU0JhJiVGorRegDsGe2WkPTiMCZTYL3ElcIptr8asrlJG8MqHeYRM3EVPeSJ8thHZV/YBlxBHtWePHZMXEl3aZupUbuMMfarVcK5q8d4vklkcOOD5ZvA6JiU4AGa1QtPTKzuAUpR2iuFhMOMTjPxb1Pg37gymVL8S4f+lyoV9aQmQkJ7R448YJC1D1AndVy9KJaKI6Sc1JPvkGQxciEWqqjVhrGkh3JxnxIjZR40qg0A2Cy26yvsY0oFrzsxhuNx1e8YU6PwoQJ3hMOZQGU0CjqA59+ri+H6WMjgQQOXiXzQAYojoejFO7r4z8+teMJNuZnnJqYbOn71UMdfVmxZ07k90XCge+TkvuDAHcPn9gx2Ld7m9W5b3DVIvf1PxIJbu1dHa/eEok89OLF/UTDx+GDXHa1yrzy/E3AeBN12BujmBu9I18NMzKlF5rGkEXEuM4+xJBt3jdwg1gRPPI51HAGU0zYeYQ1grYbRjoqtiDDRrZR5FAuzS0XdsEZMvP4iARWZ35ObMBg8GBruPvfPr/6yezgU7r9t4OGHBxb/RdggT1xs7NTePfu89rvbG9dTZ8cdZx/cffaODuCVxeBLfARrlePLm0Ans0UyZX1523V9eR7xyejajC8vLNZOte+INW5t33b8+Lb2rY2x7y48pdFzbwDv1x9snP304wdTDY0H62sos2cAHnF7lo6YbU8603RkYAXNWIiUpqMHbGmPm0u0APBMmo5WD9rPTkZHK4+OBLOMkoEX7WrGEILOEB6GwGKg4A+qD3JqPs6IyMhJz52lwc5GwX35pfWNt9OS53c/e0cH3QT0TMPeBbQsIkGyhiS9CLYtTc1SI3jIZi/zkDHaV87AN4PMMOssD9xeAa/FZmZqev3c1FSdLkTC5uXMAI6ck2WLSAaJChpiPMDpPcMX4ihcSJ16ZmKXUf1O57bW5uGuF/74JD0vrd+4fJiefZW6Lp1rfuKx+oYHorVX6M1rHu7Tc3PCMkMHeBHL9V1LAXLFI4OKH1N8cSxLMpq4O1GM+XfcoYo7nvQXoyHj94FNU8yyYsVo02DwHVQai5WhzczKiZrkvKKQCqrn5Q48ubWuOVg0t2RR10svPSpad+wfPGCzDjut3V/4wY7xS+CBA3213eJWXa7cR3SRAmxhopjIQCJHTGOoR33mrEyx5csU5I+MTMG0J5Mpdh+XKT57Zsu5WSAtI19MeWzTBKaUlLUjW2kBFnr5l91DoYPau4eXPyYvenDZtqdCQ93n/ufjDw4s+U443Pe5gQfpyydpcEls7fhPP/h1Q92xtsY9e26OddLgyV0/uaON3tt2x09hTYZA326E/eAjt+o2g1Xm8gQ8PCZPuNPks7GAhI+X5lltzGlSbT6mfQlofU++/EBJ6NGzjEMHIruWHzh6cPU3lvWXgLD4XdOyn+ydOC609G5btWRiP9uXm4FBEgaB1VneoltwDuQOC+gU61jBOkvubMcwjMkqLF0ZZzO/UAot080tkfqWlvpIS/EBaaQ+kaiP3HzzlUFx1/hm5rtdfUPbw67vgr0FPiQuOZ4aq+RKYcGtfEcZmXM9WmV0O2EjufmGsoB9qvpKcReJfH3nNJry4yCRXHAi5ipny4IDQ/3OmfYDabDeEaS2TvEP47b++w2S0ahDyG0LXKOdsEZ5cRIJIcT10eMktmycRCoYJxk6QPee0xaCiNFWGuTxN2m/9lXNS1/QWvRr0DDTy1X6NTIFG6oI9MVHNlo0hCbMS/rfGdphz9SQu3R7zV0KVjdubMZGil1WK82YvKJKmJ2thnNSDa8CK7WxWlBcPlRZtfBaVsOYSilleonlA8ALQ2UFH6knzWZ+xmaBycyWw3Whge6evwhFf9A7tO9g9/KOu/2PwfPGInHX+qbF/62t9YvJhyeOCu2931r+uYld6dc0vTcCTr50rBX3RAYj3BifclfQnF3hv+auEHfdO3lTcHk/DHDkxV3S8t5vysZdbNm4i+2acReULlyzC7mJ08XvnT71+7GfnH7v8R98p+8HP+jrG6bnXqZW7dLLL2uXqPXlvc8+uxceCNOQdkQ8AzDp+jNjgmTJg3YI+ZPsEHuuHUL1lLtOsbQdUkpz7ZChA+Gh7hf/6Z9e7B4KZ+0Q7Yg0th4MkXfOnNHeub1Ru0lYn7FEGD0B9r4s7Bm1n5XvqPutf5Lud+bq/ilCPOwpILhf+RVAfYBjkKf7z9CKzsb1VwL0l6D7y5/J0f2MJ4WVADvzz0lad3KKOyyZ9IOHiwGWdnDwyrypW4arRuTAim93VsTs3hvLF28pFnfdl1hmMf7Qbl+xbOIJvGY32G6vwjUj5JuEl8RKRt3ALjHyeIrzNYXE1SCo6SAPetbo8ZSgkyfyTJ6nJZunpKoOrY0ab7LIX82iKlIdDxyXeEap01+D3zLLL7dEBWMnTdPGWLrbDnR13nPbzdvX9p++v3O4OfHdL3SsvW3B8NqN53YtH1l8JNHeskhu8UdD927cOsQKOecnmucWx8LbV20fllntI9B0hbQd9tdS3RJk9oiB2yOmeMGaQBZdvW5BoNwk+7nlEXv2sVdffQwMjosXuZ1ByXbY173iLi5fWI2SJxNwoXrApSgteTHgAmdVLHFWD4LyxYGekQe1riPtiqRjL80Zg3PG9oOr1i7rK3388cj3lx/4a5oQuideQNkirBvfvLlp2alsHUw/wJITf6HXib/UHaVWaj6sPbFf3DUxT/gHUKHsPNI7cJ6p8RdaKP5iy8ZfHNn4y+AH8QLxl3/88EtT4y9Fevwl9uHGKfEXSY+/bOOn+4zxlyDFfxSd4LrHXvzp0OkXH9E+fuSZs/sA6yXCSXyMbxaSE0szdNwM+OfHXui1Yy9BpppttI4u036m/PYPT2nP064T4xp9hZ7Rfkpv1ZZo9XS19gSeH2QXrpOJ6We+RIoxlimpmLJKPlgmOzWPaIH9QwDxXOEfQbD08LpbgDUA58qJscC+RoNCFY2fLsbSRn+vNQjPayX0XbMo7DCPazs4P9Vf7RYGwY6oJSuJUhHTtQGWoyIRWCVYXUypZuV2ARAbrngyUI3bJ4ApymBcnYHKoZo3TKikDOhVDBIDhZgvodhBZ7gT3M5H82ruvBbqR8Hg4Xlo2ATswIwm1LL1vXXh/jXnXw9HGiPwL/z6+TX94To6vrsuQreuGRiO1Gk7E0uLA0sT2s66yPDAGrq1LsLjRDTKbKEykmsGAafiQ49rYNLsEb1olddR70rjXctjOeUxtRTwdsdUj4639Jpii6vVDrSHkhLDWwKxAT4Ow7ta0hPu5cgnBsS7lKXc3V7V5ke8AzraWPcDKEZpEzMqdLQZHaI0NgnjXk6HUKSO9iWWBgKfT9A+hq82FKnbDVQYWjPA6tjpUdEopJhc0n0xBB5tYEtcF0kpH68f8bEwcMrKi0ZQKll8qBUdibRcIpkQCcIsM5mNIHat+0rvloX1sQF43doWbaAn+oYHF7X27RpcOJ/oPVcttFWKMV+gnYAHkKlDzncCHHnNVg5stnKlm60chV0B2HG+bJNV+O468flYW1ss1r7wyjHxK+OHGA8vvrpU+EhaDTvtL9L9Mz7sn/Hl9c8YpvTPVKctnmmbZwIWJsgx8RAsx6CTD8nlK+ORJocnSazFetBjmuYY3Q/nzTGLf7V/WP56JBv7iHxdHt7/K/rm2U+CJxVjOPR4Y0PqIMY/Hg+FjSfPBD/J7H/Mk4SwBpXtfwr6riqedGCYtcg0ljKZicMRVUpk1QRolsHi12D9McJeDswbiCfLWW6hPIQ5/vIyrEUuT9cig+ZUw1g+glXPVWgkmZm+AvxYtS/oxvm0lYanuOohfwgzQCBdtheVHjv2m7PtW2dE7+7Yvou2aC+UFgvNO8Pdt7w/cODch6GyB4J1Rx7aM/B+09qqnXpNtuSVxkgx4uTMiUun3B4ncWDSSnVLmPhLFfnZAVDzRRKqeZa4AkPGyxNDZqCDk1X92libQ9LJltiJJbdFcZbMwkowHtv25wldRIBnWEBM4v/ycbqYdvxIe4JK2rOY2BzRztJ2eBiksYmXBHni77Y92Kd9QL19D27jvB+72iBug7WRyULyOMl00oDvpM5C2dzOeGwuNtTMTTfUzHWrLeg3wcHqshY42AAHG2IoZ9RbsMgLVENyRiSOnOXzJMXGtgSrGX3abSkOz5qDtleLJxmouBEPV3uTjhI7s9FmhQG7GSB9PE8bHdWRG9tYA473Gg046datwnkwMIMDBlYNF6lz0tjSDq//1GDnrhsT3+vqWN3ecrm7r8Chh74wl7bF5C5Zez4mC8Od/aHgLdHNukHX0rQocrR5YE3n9nDwlvotQ1E4umBBi9wBR/vXNXdWn7cvaWi+PfS6czERqFuShQ+kj5g/NY+wxKDiklWLlYljlie0WDNeFZZ5Gt3oUaveTKknzZEluf1W1H1TJNLcHIncBBoSnuFTk7Sn/sYb6/Go/op1Wp1XPzCs0HPpjeT7erWpSyLFEi+WTfnZ+1RspgVjeTHzWCpYw94G0eOLp3vNinivGbJjHUicukzbGXyhygg0WNg/trhEf7AyGmPRp5kxWM8bwAz3nDTavaSkKso7rZTKbJEde/YVYZIZq+pqSGDSEmcDgZ10OxiCVrpd26Fdgv93LKPL3nsPi5nee09Tfvnmsfa1kYZVTRuHhzc2rWqIrG0/9qawhZbSu7WHtPfg/4fo3bT0Em6IS5dgb5z946m3K4OPhGv29vXtqQ4/Eqz6X7AfSoVBoVTSWExuC0rjVLVEarGAEbQCfwfmikeaPshvv2aQHw0MfyDxXxLmLx1c1dDl/dyihp660F03bRm4390jr9i54/Ozo7darbdGG5aKi3vWh5wLGlsqivuKKras0+6JesNf74011Aabg3UNuP9lsl94SrhEDMAhc4hiAK9DxiQJFuKiqGLlQSkzz7BglZmZleUamaYD7Sb6wvxZfmb3mTO772LP9Bw2IWivgC3DXvN6hkheRxCIUSILTrFU59E6sBFVksuZyRlo0dfy97UzUDbWloBsDMWTlaw6IKazc6p0dgnwbaqUfaJKbCrrpur4pxlxZOBZcKCCH6jIY+c5WARfx4vgxZpqrL/1VsDyhGAFZ9R6vPA7bzXWiiqzPUrFtdokPXppbiAcCfub+PEold/cv//Nf3l0/5vzT/b3p1L9/Sf/+u/aOmORNatWzu2qCIUqusSdh8+fP4yPwWRycGh0VPsxHVrU2jDfund4+NVqf6CaUFontQpvSKezfViGMXzk9mFZM3kxrH4Gwz8ltW7fDuu+UiRCt07zxSTTcorhT9ZjWjJtj+k14z2FybDy4XXrHt5757qHN3UlEl34ELV1+/atwwf73N2NvDhCUuIZqQ7wcZHVaYzQGLbJqsGARmFSYmaA5EQDgPc8mSzcTgOFaoynHNxazOpU8KWx/UbXqWgtSHFWSoaOP6sJz7TSjYjl4/9Kl/bTOzS1HxaF/r6fmrVP+rVPqJn7GkI71aSPSQnpJnqrlMS8jWIp3TGV8jIAPl3TVNJg86IKdOkqrsk3tXPKRWV//UvywkRT053hus2LVt9z+9zVl4R2iUptvfOiza2hHaHYhuUd327ffg/C2CQ00zHWN7WQ6O1SAGMgpkpSumsqVcSJ5IrzHNi0bVK+nDap5jBQS0zr2aZIbzyxZNOywXF6/LGO/7579aJeYSNY/okb21ol6V/vlbRL3m/cvu7bVSQ/B1vNehGnzcECl/pkkfYeGTkphagXs6/IF1VXF4vdLEfvIAldj9pk1idqfC1l4NgY3CniJmZ4R2AhWBRN5wbWN4rMWduC1QA1tVh9VkWd+wYG9mkfCakB8dhTj17+ilh9YLzDcOjyV3jfFD1GQ8IQ7I+ZOR7BNRsUc7m/I90CIZTGFi6MgZEAdNioDQm7ru7PpYM7jw6ufDpsHHx0lzZEXdofua/bAPy3mvUBgh+d0wKYkjjTXaMLsBljgw1vLR8QL+/YONEjeFkfiLBD6AVdhzJgAdG3vuLXy/f1WK89G+u1j32GvR88NDAwMjIwcGjXsls7li3r6LhDfH44mRweHk3+YPmGDcuX3333ZD3EqiUUo5wSuB4yp/UQtshas6rICjspSSVWNgXb2SfKmX/PPPPgmTOPsef9aS2U0UZoF4HAkT5itLTCXjnGa0uUgMzKThWBv6ZKXSZs4/PJaqnEjDZXKZLY5UGhU1aY9orEVA342KkAF5gWbzyeDLBi4YAfJEJJAN+WpDsWcZ1UwcqqhpNmhwt3YABtAaK6SnlUE2QFlRy8II+vpYgN+E041IFH/sA/636rp/9e8e6h8Ydo8uMdLxy896tfvTe93FeOY7ntbkkIaF1DQxtQ8zIaGOw6DcLkf/AOKuxWDklj+XQo89mQDpKslkm8rHA6zN1cp+IXFW78oiIMGLsr8K0bMa7Lw9jtGTUXl7EBDRXogxI1ZOMog+PgLq5AWpQxZxVJYCSTSRCaTmZmiSGUvNTYfpPc9M3quns6Vm9aKn/tk3yqoCj9qhxNtFUNhBrvWt7Rt7BvM+OR9UCfEJOlFeQG8jTP0CqzZCZXlaCMojV1Q02ZE0gzQ1ZvABaZGU/W3IC41tRaoqmAxL6rltUAkq0hX/oqRW60FJVwPDWLM0p5HTDKrCj+/ayZQLboLHwbrQSyzQayRYuA34PVNUiUWR5mjdTcwHzezyLDfVM5aH3kK41MrF+hJw52LH8QxPqNOkNdGnjhic2rVm0GMV9X19LUnivmvxOaODaFvWBPJ67Wi3VSjPVD/RlBJeS2oGepN0WxXqhsVT1m57AtysjaojBMi01QZRhYkUDYqCbwKkfdvB2KqGE3fCJGXxHr2GkG71AfxeCkeU5DrgOVmNT/1M6aoqgrLasH8xqgNm7qeGpR7xnxX/SADWE8wXprjIuJCeSUc2p3jT3bXeOK4WYgKrXrhn2mu0YO4EtOh82u5JEDO3O6bIyLL44r2GiTez1roeuZC1xvajePDUhjmtTR03UkeTq3q4c2X7yYuV43XM9JPFOv58pezxvjaR+WdPTkXq8ZEIyY8lHcfebBM8PbtvXkYGlYcfnyQw+NnwBE09fthOsGSSXZNvm65enrglrCGhTFEx912krMLC/JFERVTDG/lgpycz7IMrxojKE5X43hLzNqqnLYGB5PSrBRfyXKHK9XNVSgIqPlHu6WZpBIRxKbs5HEfIz67+js7E2EwsJqfNMcDlfl4rZ8w+Dmm2T2xJcS/ByOYx3g6CPFYLN/bTKWRRksPTGUGjYrD4aFETfV6R5TnDyrWeHmqWsnYkWLEmzwTTHKUFXwM3xAVMCByfjoOz//Yw5OP0pHFRCXpkxgIY3UOfbljTeOrwN+Oap/IDm47WF8irjdMy2nKkWxVBlz0ZTqWMqpO2uAou01VJi4fAE3FjqkPHz5ENEKkG8pgVqLnGz36zzO3WmPLTGJ26cxRSbtAGVtZ+dafPQAoohsU95+OItfLln7jc+x7zCaovfWGbezXhUvWcUzTwqR85ujnG474upkfVL2TJ+UL6bYXwPGzbQt2ae2ShWxHYVheS/DKdsyBQ+RhjxR4WOxd2JEqJt4U1g1IWiJd2kL3ZRpotKh7+X9AdqQ3tdWMU1nW6atCfPMn6mzDQ3VabrbaD/Yr9O1uE0k0natwHvNQMZh/P2O63Wbua/XbeZJt5/YE5O6zijIpZzOs4ktIHYzlAOZOxmW2/4rYJkMA0jiHBi0KiaGdRgMy0EGp2HoBhi816eH73owFE1PDy6o80jCxXQWIiaj9X7PkyC7bGzywPprQwU+hBKSVReIr2A83YUyPYjYPKSHPdMN+pVu1qcyGeBpoqG5GAwXCIxmsEkLsEiO7BKuvoO1YLDm2EM+kyQljOYbmHtlZtNyTLwnDNsQTBIfyDGnUUQtDo5kBTCR5RBwz+WneEebQLDw+IJ+vkjh82VOplI9aQR8gacbBn7YcwgZIXO+qxfgfGPAD2in1+tV8Lw7zpbpjkP6WU3oDwkG7g+JfHUxVV/FV3XWIb6cl4+me+/Eq/8J5z7P1hUr0b6UroQTWGBNKZWxGE7xxVk1mv011eUCA81lB71L3Cz0gXkxNzuQLk+zp6vB1GJXulANoJlUH5f72ZJesicPVaXXLLNUl1chsJmPrBcddM0x1ntRSr7BvRYcCqMHsYATKcHZD5hOomAdFMeZr2Zj1RRobIIf57Cx6BDGZ2wsNGTD0JCDF4aZ0p2+rGnN5NETwHozbT31+NLttDiFpf1e+nC6p1a76/DF8x9+eP7i+LjQMSSUpVtrhQ7tdt5dq20ZyvQ5rQV7xwKyeeeUzjqAV3WYkPCjbgeawwE2RSYtsPWGO2te/BKMMfQt8FNRthmvKqcZz1eBIelA4npteYVsn3Sr3k2TrZ7c3r1cq4fnHqQzTJbivLvbCnbylRfq5KvImVRXlpnMcZ1mPjSrCzf07YUtes2mPuGTi+T/ObyoCQrDS1tACFwbYDMoCpKFuZvBXDkNzFWFYK6eNA3w09GYy5TCYO/hUubagFt1fcLh7mRwR8mfF4BbmRnDFJQSio9WBmfCHqgz4fQAqtyQiw4G9aOc66N8rkQN/1STRbUB++2i+kwbse5TI1tgGxTGfMfkTXGdxcvZJWg7c1qkdWsMtetUaoRiSoOsBkEaR+LpuT5ZGqDCVCrdzFaeBW9nZbHHiT61lbjQLr/4p+E+VdMWxv9vpurca1NgawE9TMkeahUbxWNAhwUEVZuFdapjBNCQGwHkySic0pfJR1ETq4a2Zaqd2OQ+PrbPtOfy5eWXLi+H58uX6OrLn/RcvtzzCX7G/dNz9YJ0js1TCgEfbtZ7Eet0ymMwrAq3EOe5EhcbmjRT70dEvirBy/vA51Jmep42urxiOasttHuTJouZZbXrkNpe9NGqPE9b7H4SjPKeTtVoTmRtawC2kvpxIWZETJFmnr1m40QEH4ZwvJjG7qHt/7Fm9Nav9m5oX6Kd/WT18Y61q+5ddPvh+ohwa+PA0tSFJ2J/3nnyN5E6Tv4FiW2Lhrov7MQlaG0eWLSn+7c7e48uEN5qiGm/nRiMNsCC9I6w+S6sHxNkn4f4SUuhjsziQh2ZAb0jM+lCBAt3ZaJczuvM/D2I40LdmYaei9wf+L8HC8rc/C7RPSBqCwEjrb14MQtLN8BSUhiW0kKwlGVh8U9LFy5L88D5HRehBQFaxyQn8iyHqY7NvaonK6dChXOcIrLqt6L0TCeqdRBRLJS4M8O/auFtbRZwzFxXlmAriXE6sKeRDHl4aFMFQkGczheyx3nPJ6y/GSy8uZO7Ph2Zrk+n3vWZFKy8fmRq5yfYwKZs96eZ+VrZDlCx6+LF3H5+O/Db7Tn9/Cmbg3k0Nuzu8/ORGehyFaeFryo44nGUwGmrMYBWo9/BjCteAV2gtf8QnXf27bfPav9AG/t37OjXXpbG/vA8Nvd/TA/sWLf+r3gPhrZH/LmhA2hxrw6RC+sla4wsAlYKqtAWUyVTpsc/bGNd8GFWCIZ9TMly1rlUXqLH3MvDQCnJ5GWUqsHMiddfzrKPHqyVsrHmeMmjAz65UIrV2UihpmLEIdLkC3mGRrZEmoOBxtJFXxAOa/+2/qD2knb5+QuHB97R2qW6bLOTWeuRnx1+/dL9wt+MbDnYYKZrxy+xOXYXxVKDzOosGtACvm5XJbCxPjK6YGNlbFLNBTbXl8264dO0VmIw/YY/qfLCJ/vC122ytI4ceeA6jZbiyzzHOZkeP/g09Ij+SfQ4yegRbUDd48eynOuTJepRZv1JZMFKkOuS5cSRkZPXIYvwjJ78TdOlHugSJnPI93LpEsmjy+xs9y0fAl1rZ5KNEWWWThSc/1yLvO9wstRSsefHSJbKqlBYp0s10CWi02X2ZyrRwZJPDH9fvyF3GKT9zv7+/uv15YqDNKCNPf30BMk06ObQJgC0mUNayd/l0mZuHm1aMjyDVXrwMiM+Gq5uMLPp2UoFqIj5jGSN9rHRikYscp3DjehGRr+kcUZznFMQx7lhTLYtl7vU4jk4Zc1aVu2ZNbeF7bi5OglbPhMJCwbfr0/PnctuX7yyEc3wZbd39DaGwz3XpeyBDTu3tsobvrt1vjz+b1nqSpy20kdsPzaRheTHk3dkAyqkhKzKoGTb4oXbwNtzd+csINkc0LZz8jfq6M3sdgTz4Jt5MfVmNy+hzNJ2ziz00MuAWed5Rq3VEQ8yarFXTbQl/mubxqdT7Nfd0AVKEa8n9hqmVCpmaG7oztD8559GCsqxVIJnE9piqQY9mzCZ8Kl5nJ/nTaL9HKR96mb+5c0xne0nrcDN83Tujnjkhk+jT9S2BPztnFmJz0z/3KzFdenfOSWPcT3yL+hcs6YTH/znTXyurGGHOEJuIM04HYKw4frKLFmtAFNjTpxZH4pfxulrys3xlNhU63JEWXxQGlNuBAnSxkjeACRvcGM9KNZZldnxO6XMrSb0wcEL4LUBKWvDOUOyJ2l2zeI5ftUbgdeEJ+mvqGUT1LxqdQhZvKKWVd4pTZ4UqY40yFiNZxbxFF5uvejlwS35dQC8UXNSL3nelP4m+HEdby7v+IeHL2zVKbzxkerYvlWnnp3YZf6773RuW9D8QNfmZLN8eNPg2T1bOpd/J/h6105hAX1d2rBxxTA17tjfuGIto/OKJUtWXD7XPLKXtaGv7F689tHBZZ/vXbxnyc/X7O9n/YBD+myCimmmE1RmphNUfcbpBKiCC04oeH/w0V0FpxRMPM4zMSLv9wcbBPv9q8ima3f8K+WxdAfCpKb/kN70/zQ2/ZdXXq/tXy0X9dzrtdr/RVCq048AsKGpVWgMgLBHtyPycfvWdXCruB5uJxluFVUcuaTTVZmYDr0KRK/8OuixZZsWvcfQZCqEHu3nhlIav3qGXw25czJ+1YBfOcevHEtRwrnIVejIsURrGrlAaXkGuZICyJVfY2RD2gSabnLDY7rhM80AB7Ge2zuaDwc5SBw30MVF+l1TDuVgV4VqOCqrdaCGG+OFR1PMzUUW3aMaULY1mUUdnW1EDTzTzUKOs0ED451SyjHF7E+oM2s83lGbVyxletejRhsxfj4b5M9nHGQhTqNnp19+QwEFW5AbPpysVnnuqI7VXppw1jTPRaEsJ7FMOso2Jb2lEoPuSuO+w7xUFeww5wGciHPlbT7FQCDYCPNioXPT9LmxWRcHXuWdmxr0bi1gExumHHYCe3//AK/4TJ8d816fwPlTwNN5eS+ak/ey5eS9BJrOe/kY82HkwvzoA4/uWLnSfUDyIkf9/d9f+YCfXbx6Gc/NejMw76V3lvOYn4+3aJTG2UCITObL9n8h82Vs5ivbvPtAFJY2kcht47iyD4HNfCSZeTLDQPNq0NR9hFXAs5stFQvpnvJZWB0TY9VmwPUhWNwQv31SEMiFZWQhBNPtYT0IPxbtJm9xSaVD78xgE5JB4apBHFYqelSjCd0kb8pqc/hLWNc0b6rSNZA8m/JoZaRJrqQYxCwu1O//zonF68LGwJpbz9cdid3Z9GLk8+ET4YG+Pb8/lTsD4OcvU/PciPzdW29b1Vy/LGIOtoRuWnXDkHbszOvaJWp8ee9Pf7p375kzjA58jkiA+EAi3D/N1ATsiwwwB2e0LFALCxWCD0VxfTBfdpiCEql+zZPJncV0HydnyoJSgT+o5MYhdptXREAoGAOuEK9GudbYBbGAL5M3ikGe7LVMmc0g1WW9lLSsRx7geaquApMalJJYJlWVP6zhGqkqtURkkwenn9uAO2vq7AYPKt9C8xuEN7K66Trwln4WeEtFNlt3eniZVp0Cbwq1aSF46bl0zXka5vrJebW8aRhVhQC+dl5tekBRZk2FVeCasjC4p7iazIE3APBWkSj5rg5vOA1vvYm1B7sMmP0e9brKYTeUwgd7Jp9WDfLNXo2+fxVn/2o36xEGnEaLjTPguJ8f98dSxXwnYP7DX8XyamJpuJ4hWx8uiOz0Hv2kiSCPTN4NKwuOCBEbslti4nBmXgi3FYb1njvMpd2Vs3JBlO4RWQ2BdG+I5yzknNyFvEY2zXa9bNp0+2Y6lT9lvUsLqPqCW6u5QK/fPnJCPCN5Wf9MkMxmPdUm61i6kSZnrhBoZje/yUNxHLdY+g4J09xYYp84QzO1RKOtrdFoS/pVCPX3a5fY+/nzhbPsTSuOUyRdV8+J+8Tn9Zwa+BE+llMz8cknapWJJ9S4ecDvTcJyaji7heXUWF1MgOfUrL5iE8+pYVM6a/euw85vUswzatThlnhGzcSn185pbGNzPLzZrBof6WLypTNqRl+6KDrStSbW9N5PO74td3f3Ns77/amO7Y0rOor99Nuhzzf07VofWhrr2xUoEgZaj34VliFSt+HmbW1HVsNa1Nd+SyCJb9TTd4PBZ7VlwbKzDyfW1TPdxOZtsBlXAfJn00zcAD2TbrGYOnQDuyxEwn0/h2fU4y8OMFbT52+oRVSv7iw0hwOFdP4sjn4U0FPmcUi70v01nwpe/3XgxSEho54if4ClP7EaNQuvn+qzVgrBixWEk2aHhFFCTwFY7GPiOQ1vPcBbhhVL00w0CU4DbHkecVNAXKZYFDu3fq4540SX0/ngbtJl9FSA70oLaJHDDHLJx+TzjslQB1A0hWW1ArZrfTyLxA1pJEaLRGy/LnNPQmd0ht1hZoXz4LCqM9x8B5Vh7tETYDHuapw1rzi8arg+cT38phNU+QgPFhBSU5H/Q4EYn8DnirAZpNhZlTNZRLHEsnNL9OEieEsmc86IETDtxZwxI0Zgk+yoESnCtbc+M0qfufglUmBsJYn9iZMr7QUmV/omTa78dBOjjLvZ7MrCI6OATxh9gE9MjFPAVrIJrC9J9VjRkM0bxVKdWxaOZZ7AHSxCgWXhSQPegAAnS/PJAZPHtUznhubQ98jUdc4h96MF17eTECPev9hNSpH2fOaViHMQeClLQMT5FCmT1YnuuUnMjOT0uNjwK79+YxBjPGljCUybhbdJEVBlKPY9es1EPc2WRmMHuReb+3AW+TLqFXdPPMEqpFePb9I+0JTDH54fHj7/IbvR3hfTldI9eJ+9/xRf1C7p9pMBY3PoV8nkUe5ZYQVhLWs2YMYCznRA76oxnmpwViL8DdnwQo6j5bSzFZmt33QMowmREMBeibfOcoJPFYTX2WBCeEoauLRUi1jVPhoWip/9pijIRiYkSSiit/vkxP2mDW3mWR0GPfzy3umNJ5rko3ey6ILS17mttWlX15ZTNzad2JBraR6hr0t3YTQG7Y2vLe/5eja8sGp5z+qs7dHExmuyu49inr6OmEkR0O2u/Ew9DgirlFW7lRdthdJp+1GX0QQCy+LmvcbgRPvZgaCb3wTGZMH7sXn129Bi2WIQ5x2WVE6T4Z+GjbNZ/ycKFQTnFAE8X7AWaVzyihKLPURZN6IoZ9pWM1OMzVOmGOv6YZxrBB51QPlPycdSlWhn/uqthA25Yf3Mo0bRDbg74APJnXhTlDfxpmjKxJucSTc5BvXHk23nPMfxWj34/yffvSH2CT3wXWBKD3rODUDFevrG9u3898bN1/+9MaT/XhYX0UZ2n6F6wm/yZ8/eyRRLYfU7mVrYpCtjmjZtVM4MBZGD3jvXbed3JxNPh9orT/yzcV40hrYqJRGxh9ZJ4/z8ptx76U5/p1Rf/l3QItvTdz67U+x51dgUZXc8W1h1gp3/agOtI69+9vuw5pz9VX7y1pvYyQWkjbCe0aYCe/glHrzSCcQq7yvTNMJyYRev/MmUBDNyYQLFwLItWMQ2lXh109OSJqYjbCKXyALSWOhlNGZwIpWV4sx95F0cTk4NvEsGjvkv1eHMEEbxeVADl3pVd0WhRZCnpdor0y1P/lIhnFcbgMtfZXB2sF3vkvUFY0XknwHKwJ8CZXtDQ1uZb13eMuctOc6KokTYKjaA9TQ73Zdu5n3p5kxfOs5wx4P8pUB3+uJDW7YcObJlyyEh0Pf44319Bw8yed5+9ZLUwO7Ni77z7brn7A/Jst73rrqC8Xj+nXprC8yumdrE0TydsVHo7oV0qK2hoR2JQQcXzm5ow0/pOxnGJr0SPotpP93JesercYKJPr5Ev99Oer4Av89OelbJI2fOPJKeUjLpHEze663n+jmw6lTKnCZ9M9Zsz/kzz+zL6TPX73P9gfhz4PlGsoEkZ7NyFVG/7yp2KBA6GzuDQ7JKpDHsALZa2IEyGZiJa8w4uwNvJVijOF2nElumbY2oBCOz4fLRhEKwPEf1W1mzGNgMrAnT1yTPndF0M20ON8nzanOmb4ZMIWMR3rMc3uTYDbWR2EZB2DgQo6GzywbmJv5qyY5fROjhUm2VIAj0/lLtqfqfDSwZuEn+q2VntXca6Yk+b53fHXb2nb8UCY/EZh9/qM8ZdhfN8PbtOtoQGwnP+OPL3M4XLkhN7P4hRXiXUtYkZLEDJxE+REfM3AzbiOMKnHHA2J+e51CDbeWF7iuCgx3MvM+hhvc5gFDTJ7KxdE4RbwxEqWZjPdD2hK5ScDYm9cgB1jpuCkc8dfTM0bvpmq//cGT1+oese6Xh3l6thx7TegTzv//7xCe06623tBNsLXFz7BZ3ww6J5MxCTc9t4LczSN/VgOuwRk/Ig38yvgn3Fd4jeIjNIQ/DGfbzqgallkerVU+dPGkgOQ6PDOKN8UJWPvX0+sPJFT+PVkVwWnRtiZNvPgxVl+D9bY2YlIhgXD8URBZyhPBWZWhTJcAa9XivOcucTkpgTJptLpDsqOsCc87pvknTrwVGj82MHkGce17MLe3Jw9lLY6PFpUbAxGHiQatPR4USPdNRkYt7dm576bXnttMC+BVEa/wSn0hN/n/AYW9lAHjaY2BkYGAA4vMG7TLx/DZfGeQ5GEDg4qFLf2H0/5v/Otlq2SYCuRwMTCBRAHteDrIAAAB42mNgZGBgV/9nw8DA9vT/zf+P2WoZgCIo4DEAoAwHdnjabZNPaBNBFMa/mTe7FE89KkosqSEsRVZZeiglFEqIkUYa11KKaA/BQymiB3sqqJRSZClScjBSPPinSijk4EFKD6WI5OAhp16k5FQkSEHwoihWqd9sGqilCx/f7OybN29+b1Z/RRZ8VP1Az1HSCYTmGXxZRegkkTXvUFQ+Ql1GhvJ1FUPmKipqEqf5HtKH9SpOmCuMeYlAHsOTBxg03fQyctJElnMpabXHNt6ulRIemim8oi/IKPrcixg2dfQxT4X5C+YTPYGK7NA3UXD6uWeD7z3MfZtzXag4H+l79C7Gj9Bd+jRjtlE0ETKmiTmzztxJpM0MemMN8hxzqNia6b5uold/g2egJuUJcsbgkWSQp+dlGXk9ynP85XgXkarhnqrub8tSPI6cDUR2Xrbi+MiuIZNIzmFML5JhC/dlBSnWl5KnFMdyC0N6DZ56zxrWGDNBhpZ9DSW7r2yQ7yVyrMJnTd3OGxT0NZxinYHlLSMIOJ/Sb3HDXMcLHcDTSfTH9e/irJriGaDuMud5PcsecZ0zjjFnhprHNFkPxJyPkduiW/aJNvuOVGP/M9kv0neon+YHe3XA/ajkA8rOGYzH7A/LsmePDMiHnI8T+5mLGSz/L1XjvjUs0H9Rvy3vDvejsndTvpCTZX9YZG97ZN1dQcEdYKytCfhDfZc84JaBjusL7Mlr6mRb2KIX6Tf5rRz/D7GkgdCts4cTCKi0uow0522v0rE2uc8d3nmuVeuMsWJe3l/f2P9iiXvuwYP3DxnexjUAAAB42mNgYNCBwiKGJYxtTFJMO5jtmOOY5zDfYuFjCWCpY5nDcorlGasZawLrBjYWthC2PewS7DbshzjkOOI4FnAc4XjGycVZweXH1cD1jNuAu4B7DfcjngCeDp5lPLd4eXiNeEt41/H+43PiW8PPxF/Av4D/jgCDQJPAFoEngkKCDoJRgj2C2wSvCH4TKhA6IywiXCR8SURJZI7IA1EF0TzRBaJ7xNTEssS2iAuJF4ivkpCSCJOYI3FA0kGyQHKa5BEpNSkHqUVSz6SeSatJT5NhkEmRFZINkX0jlyI3Q26ZvJN8gvwq+V8KPgrTFLYpfFCUUrRSTFJcofhAKUnpk/Ik5T8qJio5KitUpVQ7VP+oBaktU3ujrqdeof5Mg0/DTCNFY5+mguYkzVdaLloLtNW0V2k/0cnQWafzRddOd53uMz0DvQX6GvpbDJwMPhiuMsowljLOMr5h4mGyzTTEtMl0k+kDMxuzA+Z25tPMP1h4WJyx9LLss+KzSrPaZy1hPcf6nI2OTY/NC9sm2w92EnZROGCGXZldi90cuy12T+xF7J3sp9m/crBxyHI4BoQvHAWAcILjNycxp3nObAB7AY1MAAEAAADkAEIABQAAAAAAAgABAAIAFgAAAQABUQAAAAB42qVYyW4dVRAt24EQCJZspCwsFi02gPXs2AmxQrIJgyIFJywIEMGKft39Btzu17xu25hP4AP4Cj6EQWKJBJ+AEF/AgqpTdYd+z2OQZffte+vWeGpoE9Fr9Bct0cKVa0T0Ff/qeoF2+E3Xi3SXfrD1Et2i32x9heoFR/8CrS3Utn6R+gvf2/oq/bPwt61fojcW/7T1NVpb/NfWr9D60g1bX+f1A1u/uvz+0te2Xqb1lR9t/RPdWPnd1j/T1orj/wstr75u61/p+uq6rv9YorXVHXqLMnqbEtZ/i7b5J6FdKmlM+7z6lI6ppoJXD2lCB1RRTlPe2+Sd95iq5OeUaYc0opYavBX8LPh5yH9zpvyAb9Z8J9BdRMLH/CaUj5ku4/MKXHPeGfDJlJ8fQtIeUwn/hD4DxTZL3GZLtug+S3lMj+gJr57wSQsNMtqgT/htyLJKSnnv+fRLnlvDz+Gdhm9N+E4CjbfwM6+J08Np0dVhw3SY1UDld6Wr7NgPCf+ViBX8bFlaAZ1Ti+EQpy121Sq5l/KqYH3Eb3u8N/F3Tj4dXBJXolMF3xZ0xM8v+ZkiThV00OdNkzuJ9M6Mj1onlm9eQN4uqMULT3n/yCLT5xPxfst37rG0m3wiP5tslXLchLxN5vPdJSgvYv8z3u0jgtUJ6JKsGyIi4ucCNC8DQcJzZLZUuL3B59/y3ZL5C9okH3sW3UOmyNibfT4VruWMlCGiWVlOq9ZjoCGfy3jBVwIZBd5GeHbtaBCtKjrP+V2QovFu4I2M3waIXu7pj+GfKWhSaOuqTAbk1swxrkYxJmI9e5AtNpTmhzE0K6xitR5dCVDc4G7lUXy6XX3eKfE+9N7Y9dFP6AtYINxd5JRbCpkn83W56U7nI5mw5VNktljQAjuqaUCZs0d1Eh5Cm4F3YV5MeS0yAxYy5G/h76VAyxicDkB5AL0mljuF+Uzrhez1QaH1bZPxecvjszDJipYG3KeRNSPcDkjr5rtQfsN3x3ZH6k0O6rHZUM5hueG81Fhn4FLjb4o7GjHlLfnUh9TcnzjvB4/OR1/xmyOnVG7jeTaISMv1IHjUxV3je+D9N/F8Qs1W1Er1qzs7R+C/B3+n3vqelxvnQIGoZoiMUGnl7+p7H7q2FlGxvWeRyRCRw2hX7NjwHT7st1YxGqsUbXSmWkm2713Kt4I8qRBlhE7XcTLTvQFi9Mz1XVeL+siK27yXA2EpMmXsbRa8aAUIuhYeUV3tg31lBz0afzk5RmRSfvbgzwPoFbAYODaISjknY2rST8ojl42nW5Ojg1WoRalHcaj42tu0mlTo7xWq0dTbIhVC7czm8mOfnznq8/ElYijZf3umCmomVDY9af1ymCk69cpl5FnVV/2v1UO71n6UgV2c92xOqMwbre8Ck5msUSTtI9KBW2YVs7UOpr47NDxoVQ65eX7ncMgaeX6u6wTLTrstnn0Hng3eP0KulJF3BYW11by4w4U5ofUzew3eJ+fTaVX/sDPLztt8NjLuRH3h7Eqwj7wKGvejLpJ7XxW+o7c2WbgZyfl6CHw4/CpqcuaTmZwjm4UnsDbYUWMGyVC9G6tDA/PnxfqQ2LtzYXtdlszqIxlaW7wCgoRLDW7qDe03boIb+540iCqVVuI8wkSBvB9F0rvSStxz0+Oefd3FdnRRJbuhbrtZQqUfWAcJGHMnuXV3iYib0mb3MkObTgOFWSle70U+qTDp5HauMckRf5nEXD1QOpmsQt/vUomOU0yrCWprE3mzbxNZ5SOimBogbiphniZMnlPkZ9zBZyXkqC6pt2v23PlNeMZVy3UNrfwVKAY+OvGcPfYYPgS3DGg9b251UX8TusikE74kUsxwJXxw3KlL/c43gnAd2NdP6DZx/Zj9LhmYHjXyO+90zhqdOYu+jM6vwGr7abZoL9aqH+bZhB6B67H5Z4Q5RegVjY2nbSIqV8Eyk649tjutt8hLra8P/ue35uz3hP6X4ZnF/CP89yPhn7v8u0XvMsdtrsf3uKds+2/2O8ieAWp/Cckp6qDg+aHn/NTP5OKn8j9qJ2eKAAB42m3QR0xUcRDH8e/AsgtL71Wx9/LeW5ZiZRd49t67KLC7ioCLq2I3YC/RmHjTqJzQ2Gs00YMae4sl6sGTF2s8qDcTF97fm3P55DfJTCZDBB31x08N/6uPIBESSSQ2orDjIJoYnMQSRzwJJJJEMimkkkY6GWSSRTY55JJHJzqTTxe60o3u9KAnvehNH/rSj/4MYCCDGIyGjoGLAtwUUkQxJQxhKMMYzghGUooHL2WUU4HJKEYzhrGMYzwTmMgkJjOFqUxjOjOYySxmM4e5zGM+C1jIIhZTKTZaaWEbh9nOfvZwhDaJYjfvaeaQ2MXBPnZymw8SzVFO8ouf/OYEp3nAPc6whKUcoIpHVHOfhzzjMU94yqfw117ynBecxccPDvKGV7zGzxe+sYtlBFjOCmqp4xj1rKSBII2EWMVq1vCZtayjifVsZAPXOM5mNrGFrXzlO9c5x3lu8JZ3EiNOiZU4iZcESZQkSZYUSZU0SZcMLnCRK1zlDpe4zF12cEoyucktyZJs9kqO5Eqe3Vfb1ODXHaG6gKZp5ZYeTamy11C6lCXtGuEBpa40lC5lgdKtLFQWKYuV//Z5LHW1V9edNQFfKFhdVdnot1qGaek2bRWhYH1HcJtl7Zpe646wxl+gLZWPAAAAeNrbwfi/dQNjL4P3Bo6AiI2MjH2RG93YtCMUNwhEem8QCQIyGiJlN7Bpx0QwbGBWcN3ArO2ygUPBdRcDMyMnA5M2mM+u4LqJowPKYQNy2GOhHFYgh80fymEBclgdoRxOiBniMDO4gJKcohAO4wZuqE28IFXcjIJAVRuZ3cqAIjxAdbyFcC4fWEH9f4QCfqACvmVwrgCQyy8P40ZuENEGAFjoQoAAAVWdIn0AAA==) format('woff'),
url('metricweb-regular-webfont.ttf') format('truetype');
font-weight: normal;
font-style: normal;
}
html, body, #outer {
height: 100%;
/*margin: 0;*/
width: 100%;
background-color:#fff1e0;
font-family:"MetricWeb",Arial,sans-serif;
font-size:18px;
color:#333;
}
#ftlogo path{fill:#E2D7CE;stroke:none;}
#viz{position:relative;width:800px;height:900px;}
#graphic{position:absolute;width:800px;height:900px;}
.topMatch{height:2px;width:2px;position:absolute;border-radius:3px;}
#backdrop{fill:#fff1e0;}
text{cursor:default;font-size:12px;}
.tick text,.hard.tick{font-size:12px;fill:#74736c;}
.axis path{fill:none;stroke:#74736c;stroke-width:1px;shape-rendering:crispEdges;}
.tick line{stroke:#74736c;shape-rendering:crispEdges;}
.title{font-size:12px;fill:#74736c;}
.axisTitle{font-size:12px;fill:#74736c;}
.plotTitle{font-size:14px;fill:#74736c;}
.chartTitle{font-size:28px;}
.chartSubTitle{font-size:16px;fill:#74736c;}
.footnote{font-size:12px;fill:#74736c;}
.annotation{font-size:12px;fill:#74736c;}
.chartOverlay{font-size:12px;font-weight:bold;fill:#9d9d98;text-shadow:3px 3px 2px #FFF1E0, -3px -3px 2px #FFF1E0, -3px 3px 2px #FFF1E0, 3px -3px 2px #FFF1E0, -3px 0px 2px #FFF1E0, 3px 0px 2px #FFF1E0;}
g.axis path.domain{stroke:none;}
text{font-family:"MetricWeb";}
g.x.axis .tick text{text-anchor:start!important;}
</style>
</head>
<body>
<script charset="utf-8">
var width = 600,
height = 418,
M = { T:110, L:0, B:15, R:0 },
pM = { T:25, L:0, B:25, R:20, G:0 },
rows = 1,
columns = 1,
data,
titleText = "EU-national footballers are contributing more than ever to the Premier League",
subTitleText = "Percentage of Premier League football minutes per season, by nationality of players",
namedEntities = ['Chelsea'];
function toTitleCase(str)
{
return str.replace(/\w\S*/g, function(txt){return txt.charAt(0).toUpperCase() + txt.substr(1).toLowerCase();});
};
function sortBy(a,b) {
if(sortDir == 'asc'){
return a.values[0][sortCriteria] - b.values[0][sortCriteria];
}else{
return b.values[0][sortCriteria] - a.values[0][sortCriteria];
}
};
function sortLeagues(a,b){
}
function dropNAs(data){
if(data == "NA"){
return ""
}else return data
};
function oc(a)
{
var o = {};
for(var i=0;i<a.length;i++)
{
o[a[i]]='';
}
return o;
}
function wrap(text, width, lineheight) {
text.each(function() {
var text = d3.select(this),
words = text.text().split(/\s+/).reverse(),
word,
line = [],
lineNumber = 1,
lineHeight = lineheight,
x = text.attr("x"),
y = text.attr("y"),
dy = parseFloat(text.attr("dy"));
if(!dy){dy=0};
var tspan = text.text(null).append("tspan").attr("x", x).attr("y", y).attr("dy", dy + "em");
while (word = words.pop()) {
line.push(word);
tspan.text(line.join(" "));
if (tspan.node().getComputedTextLength() > width) {
line.pop();
tspan.text(line.join(" "));
line = [word];
console.log(lineNumber)
tspan = text.append("tspan").attr("x", x).attr("y", y).attr("dy", ((lineHeight*lineNumber++) + dy) + "em").text(word);
}
}
});
}
var viz = d3.select('body').append('div').attr({
'id':'viz'
})
.style({
'width':width + 'px',
'height':height + 'px',
border:'1px solid #e9decf'
});
var svg = viz.append('svg').attr({
'id':'graphic'
})
.style({
'width':width,
'height':height
});
var defs = svg.append('defs');
var chartHolder = svg.append('g').attr({
'id':'chartHolder',
'transform':'translate(0,0)'
});
chartHolder.append('rect').attr({
'id':'backdrop',
x:0,
y:0
}).style({
'width':width + 'px',
'height':height + 'px'
});
var theTitle = chartHolder.append('text').attr({
'class':'chartTitle',
x:0,
y:20
})
.text(titleText);
;
chartHolder.append('text').attr({
'class':'chartSubTitle ',
'x':0,
'y':80
})
.html(subTitleText);
setTimeout(function(){
d3.select('.chartTitle').call(wrap,width,1);
d3.select('.chartSubTitle').call(wrap,width,1.15);
},100);
var footnote = chartHolder.append('text').attr({
'class':'footnote',
'x':1,
'y':height-3
})
.html('Source: Transfermarkt');
d3.select('.footnote').call(wrap,width-5,1.1);
queue()
.defer(d3.csv, 'data_.csv')
.await(initialise);
function initialise(error, data){
console.log(data);
data = data.map(function (d,i){return{
group: d.group,
year: +d.seasonStart,
bar0: +d.barBases,
bar1: +d.barTops
}
})
;
data = d3.nest()
.key(function(d) { return d.year})
.key(function(d) {return d.group})
.entries(data);
keys = [];
data[0].values.forEach(function(d,i){
keys.push(d.key)
});
console.log(keys,data);
// SCRIPTS TO GENERATE SMALL MULTIPLE HOLDERS IF REQUIRED
if(rows > 1 || columns > 1){
var plotW = ((width-(M.L+M.R))/columns)-(pM.G/2),
plotH = ((height-(M.T+M.B))/rows);
var plots = chartHolder.selectAll("g.plot").data(data);
plots.enter().append("g").attr({
class:function(d,i){return 'plot_' + i},
"transform":function(d,i){
var xPos = i % columns;
var yPos = Math.floor(i/columns);
var gap = (i % columns == 1) ? pM.G:0;
return 'translate(' + (M.L+(plotW*xPos+gap)) + ',' + (M.T+plotH*yPos) + ')'
}
});
}else{
var plotW = ((width-(M.L+M.R))/columns)-(pM.G/2),
plotH = ((height-(M.T+M.B))/rows);
var plots = chartHolder.selectAll("g.plot").data([data]);
plots.enter().append("g").attr({
class:function(d,i){return 'plot_' + i},
"transform":function(d,i){
var xPos = i % columns;
var yPos = Math.floor(i/columns);
var gap = (i % columns == 1) ? pM.G:0;
return 'translate(' + (M.L+(plotW*xPos+gap)) + ',' + (M.T+plotH*yPos) + ')'
}
});
}
keys = keys.reverse();
var colours = d3.scale.ordinal()
.domain(keys.reverse())
.range(['#275ba6','#98d2f4','#b4bf2c','#f3abc8','#b94872','#76acb8','#ccc2c2']);
var legend = chartHolder.append('g.legend').translate([0,M.T-5]);
var legLabs = legend.selectAll('line').data(keys.reverse());
legLabs.enter().append('text');
legLabs.exit().remove();
legLabs
.attr({
x:function(d,i){return i*50},
y:0
})
.style({
'text-anchor':'start',
fill:'#74736c',
'font-size':'12px'
})
.html(function(d,i){return d});
var labelLengths = [];
legLabs.each(function(d,i){
labelLengths.push([d3.select(this).node().getBoundingClientRect().width,i]);
});
console.log(labelLengths);
legLabs.attr({
x:function(d,i){
var thisPos = d3.sum(labelLengths.filter(function(a,b){return a[1] <= i-1}),function(x,y){return x[0]});
return thisPos+(10+i*18);
}
});
legLabs.enter().append('line')
.attr({
x1:function(d,i){
var thisPos = d3.sum(labelLengths.filter(function(a,b){return a[1] <= i-1}),function(x,y){return x[0]});
return thisPos+(4+i*18);
},
x2:function(d,i){
var thisPos = d3.sum(labelLengths.filter(function(a,b){return a[1] <= i-1}),function(x,y){return x[0]});
return thisPos+(4+i*18);
},
y1:-11,
y2:3
})
.style({
stroke:function(d,i){return colours(d)},
'stroke-width':10
});
var y = d3.scale.linear()
.range([plotH-pM.B,pM.T])
.domain([0,1]);
var ys = d3.svg.axis()
.orient("right")
.ticks(5)
.tickSize(-1*(plotW-(pM.L)))
.tickFormat(function(d,i){return d*100})
.scale(y);
var ya = plots.append('g')
.attr({
class:'axis y'
})
.translate([plotW-pM.R,0])
.call(ys);
var x = d3.scale.linear()
.range([pM.L,plotW-pM.R])
.domain([1992.5,2016.5]);
var xs = d3.svg.axis()
.orient("bottom")
.ticks(5)
.tickSize(5)
.tickFormat(d3.format("d"))
.scale(x);
var xa = plots.append('g')
.attr({
class:'axis x'
})
.translate([0,plotH-(pM.B)])
.call(xs);
var x2 = d3.scale.linear()
.range([pM.L,plotW-pM.R])
.domain([1992.5,2016.5]);
var xs2 = d3.svg.axis()
.orient("top")
.ticks(5)
.tickSize(5)
.tickFormat(d3.format("d"))
.scale(x2);
var xa2 = plots.append('g')
.attr({
class:'axis x'
})
.translate([0,pM.T])
.call(xs2);
d3.selectAll('g.axis.y .tick line')
.style({
stroke:'#cec6b9',
'stroke-dasharray':'2 2'
});
var xt = plots.append('text')
.attr({
class:'x axis title',
x:d3.mean(x.range()),
y:plotH-3
})
.style({
'text-anchor':'middle'
})
;
d3.selectAll('.axis.y .tick text').attr({'dy':-2});
d3.selectAll('.axis.y .tick line').translate([pM.R,0]);
var seasons = plots.selectAll('g.season').data(data);
seasons.enter().append('g.seasons');
seasons.exit().remove()
seasons.translate(function(d,i){return [x(d.key),0]});
var blocks = seasons.selectAll('rect.block').data(function(d){return d.values});
blocks.enter().append('rect.block');
blocks.exit().remove();
blocks.attr({
x:(x(1993)-x(1992))/2+0.5,
width:x(1993)-x(1992)-1,
y:function(d,i){return i == 4 ? y(d.values[0].bar1):y(d.values[0].bar1)+0.5},
height:function(d,i){return i == 0 ? y(d.values[0].bar0)-y(d.values[0].bar1):y(d.values[0].bar0)-y(d.values[0].bar1)-1}
})
.style({
fill:function(d,i){return colours(d.key)}
});
}
</script>
</body>
</html>
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