Blame view

Graph_And_analysis.ipynb 1.66 MB
b6d0165d1   Killian   Initial commit
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
1762
1763
1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
1776
1777
1778
1779
1780
1781
1782
1783
1784
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
1832
1833
1834
1835
1836
1837
1838
1839
1840
1841
1842
1843
1844
1845
1846
1847
1848
1849
1850
1851
1852
1853
1854
1855
1856
1857
1858
1859
1860
1861
1862
1863
1864
1865
1866
1867
1868
1869
1870
1871
1872
1873
1874
1875
1876
1877
1878
1879
1880
1881
1882
1883
1884
1885
1886
1887
1888
1889
1890
1891
1892
1893
1894
1895
1896
1897
1898
1899
1900
1901
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
1919
1920
1921
1922
1923
1924
1925
1926
1927
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
2056
2057
2058
2059
2060
2061
2062
2063
2064
2065
2066
2067
2068
2069
2070
2071
2072
2073
2074
2075
2076
2077
2078
2079
2080
2081
2082
2083
2084
2085
2086
2087
2088
2089
2090
2091
2092
2093
2094
2095
2096
2097
2098
2099
2100
2101
2102
2103
2104
2105
2106
2107
2108
2109
2110
2111
2112
2113
2114
2115
2116
2117
2118
2119
2120
2121
2122
2123
2124
2125
2126
2127
2128
2129
2130
2131
2132
2133
2134
2135
2136
2137
2138
2139
2140
2141
2142
2143
2144
2145
2146
2147
2148
2149
2150
2151
2152
2153
2154
2155
2156
2157
2158
2159
2160
2161
2162
2163
2164
2165
2166
2167
2168
2169
2170
2171
2172
2173
2174
2175
2176
2177
2178
2179
2180
2181
2182
2183
2184
2185
2186
2187
2188
2189
2190
2191
2192
2193
2194
2195
2196
2197
2198
2199
2200
2201
2202
2203
2204
2205
2206
2207
2208
2209
2210
2211
2212
2213
2214
2215
2216
2217
2218
2219
2220
2221
2222
2223
2224
2225
2226
2227
2228
2229
2230
2231
2232
2233
2234
2235
2236
2237
2238
2239
2240
2241
2242
2243
2244
2245
2246
2247
2248
2249
2250
2251
2252
2253
2254
2255
2256
2257
2258
2259
2260
2261
2262
2263
2264
2265
2266
2267
2268
2269
2270
2271
2272
2273
2274
2275
2276
2277
2278
2279
2280
2281
2282
2283
2284
2285
2286
2287
2288
2289
2290
2291
2292
2293
2294
2295
2296
2297
2298
2299
2300
2301
2302
2303
2304
2305
2306
2307
2308
2309
2310
2311
2312
2313
2314
2315
2316
2317
2318
2319
2320
2321
2322
2323
2324
2325
2326
2327
2328
2329
2330
2331
2332
2333
2334
2335
2336
2337
2338
2339
2340
2341
2342
2343
2344
2345
2346
2347
2348
2349
2350
2351
2352
2353
2354
2355
2356
2357
2358
2359
2360
2361
2362
2363
2364
2365
2366
2367
2368
2369
2370
2371
2372
2373
2374
2375
2376
2377
2378
2379
2380
2381
2382
2383
2384
2385
2386
2387
2388
2389
2390
2391
2392
2393
2394
2395
2396
2397
2398
2399
2400
2401
2402
2403
2404
2405
2406
2407
2408
2409
2410
2411
2412
2413
2414
2415
2416
2417
2418
2419
2420
2421
2422
2423
2424
2425
2426
2427
2428
2429
2430
2431
2432
2433
2434
2435
2436
2437
2438
2439
2440
2441
2442
2443
2444
2445
2446
2447
2448
2449
2450
2451
2452
2453
2454
2455
2456
2457
2458
2459
2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
2474
2475
2476
2477
2478
2479
2480
2481
2482
2483
2484
2485
2486
2487
2488
2489
2490
2491
2492
2493
2494
2495
2496
2497
2498
2499
2500
2501
2502
2503
2504
2505
2506
2507
2508
2509
2510
2511
2512
2513
2514
2515
2516
2517
2518
2519
2520
2521
2522
2523
2524
2525
2526
2527
2528
2529
2530
2531
2532
2533
2534
2535
2536
2537
2538
2539
2540
2541
2542
2543
2544
2545
2546
2547
2548
2549
2550
2551
2552
2553
2554
2555
2556
2557
2558
2559
2560
2561
2562
2563
2564
2565
2566
2567
2568
2569
2570
2571
2572
2573
2574
2575
2576
2577
2578
2579
2580
2581
2582
2583
2584
2585
2586
2587
2588
2589
2590
2591
2592
2593
2594
2595
2596
2597
2598
2599
2600
2601
2602
2603
2604
2605
2606
2607
2608
2609
2610
2611
2612
2613
2614
2615
2616
2617
2618
2619
2620
2621
2622
2623
2624
2625
2626
2627
2628
2629
2630
2631
2632
2633
2634
2635
2636
2637
2638
2639
2640
2641
2642
2643
2644
2645
2646
2647
2648
2649
2650
2651
2652
2653
2654
2655
2656
2657
2658
2659
2660
2661
2662
2663
2664
2665
2666
2667
2668
2669
2670
2671
2672
2673
2674
2675
2676
2677
2678
2679
2680
2681
2682
2683
2684
2685
2686
2687
2688
2689
2690
2691
2692
2693
2694
2695
2696
2697
2698
2699
2700
2701
2702
2703
2704
2705
2706
2707
2708
2709
2710
2711
2712
2713
2714
2715
2716
2717
2718
2719
2720
2721
2722
2723
2724
2725
2726
2727
2728
2729
2730
2731
2732
2733
2734
2735
2736
2737
2738
2739
2740
2741
2742
2743
2744
2745
2746
2747
2748
2749
2750
2751
2752
2753
2754
2755
2756
2757
2758
2759
2760
2761
2762
2763
2764
2765
2766
2767
2768
2769
2770
2771
2772
2773
2774
2775
2776
2777
2778
2779
2780
2781
2782
2783
2784
2785
2786
2787
2788
2789
2790
2791
2792
2793
2794
2795
2796
2797
2798
2799
2800
2801
2802
2803
2804
2805
2806
2807
2808
2809
2810
2811
2812
2813
2814
2815
2816
2817
2818
2819
2820
2821
2822
2823
2824
2825
2826
2827
2828
2829
2830
2831
2832
2833
2834
2835
2836
2837
2838
2839
2840
2841
2842
2843
2844
2845
2846
2847
2848
2849
2850
2851
2852
2853
2854
2855
2856
2857
2858
2859
2860
2861
2862
2863
2864
2865
2866
2867
2868
2869
2870
2871
2872
2873
2874
2875
2876
2877
2878
2879
2880
2881
2882
2883
2884
2885
2886
2887
2888
2889
2890
2891
2892
2893
2894
2895
2896
2897
2898
2899
2900
2901
2902
2903
2904
2905
2906
2907
2908
2909
2910
2911
2912
2913
2914
2915
2916
2917
2918
2919
2920
2921
2922
2923
2924
2925
2926
2927
2928
2929
2930
2931
2932
2933
2934
2935
2936
2937
2938
2939
2940
2941
2942
2943
2944
2945
2946
2947
2948
2949
2950
2951
2952
2953
2954
2955
2956
2957
2958
2959
2960
2961
2962
2963
2964
2965
2966
2967
2968
2969
2970
2971
2972
2973
2974
2975
2976
2977
2978
2979
2980
2981
2982
2983
2984
2985
2986
2987
2988
2989
2990
2991
2992
2993
2994
2995
2996
2997
2998
2999
3000
3001
3002
3003
3004
3005
3006
3007
3008
3009
3010
3011
3012
3013
3014
3015
3016
3017
3018
3019
3020
3021
3022
3023
3024
3025
3026
3027
3028
3029
3030
3031
3032
3033
3034
3035
3036
3037
3038
3039
3040
3041
3042
3043
3044
3045
3046
3047
3048
3049
3050
3051
3052
3053
3054
3055
3056
3057
3058
3059
3060
3061
3062
3063
3064
3065
3066
3067
3068
3069
3070
3071
3072
3073
3074
3075
3076
3077
3078
3079
3080
3081
3082
3083
3084
3085
3086
3087
3088
3089
3090
3091
3092
3093
3094
3095
3096
3097
3098
3099
3100
3101
3102
3103
3104
3105
3106
3107
3108
3109
3110
3111
3112
3113
3114
3115
3116
3117
3118
3119
3120
3121
3122
3123
3124
3125
3126
3127
3128
3129
3130
3131
3132
3133
3134
3135
3136
3137
3138
3139
3140
3141
3142
3143
3144
3145
3146
3147
3148
3149
3150
3151
3152
3153
3154
3155
3156
3157
3158
3159
3160
3161
3162
3163
3164
3165
3166
3167
3168
3169
3170
3171
3172
3173
3174
3175
3176
3177
3178
3179
3180
3181
3182
3183
3184
3185
3186
3187
3188
3189
3190
3191
3192
3193
3194
3195
3196
3197
3198
3199
3200
3201
3202
3203
3204
3205
3206
3207
3208
3209
3210
3211
3212
3213
3214
3215
3216
3217
3218
3219
3220
3221
3222
3223
3224
3225
3226
3227
3228
3229
3230
3231
3232
3233
3234
3235
3236
3237
3238
3239
3240
3241
3242
3243
3244
3245
3246
3247
3248
3249
3250
3251
3252
3253
3254
3255
3256
3257
3258
3259
3260
3261
3262
3263
3264
3265
3266
3267
3268
3269
3270
3271
3272
3273
3274
3275
3276
3277
3278
3279
3280
3281
3282
3283
3284
3285
3286
3287
3288
3289
3290
3291
3292
3293
3294
3295
3296
3297
3298
3299
3300
3301
3302
3303
3304
3305
3306
3307
3308
3309
3310
3311
3312
3313
3314
3315
3316
3317
3318
3319
3320
3321
3322
3323
3324
3325
3326
3327
3328
3329
3330
3331
3332
3333
3334
3335
3336
3337
3338
3339
3340
3341
3342
3343
3344
3345
3346
3347
3348
3349
3350
3351
3352
3353
3354
3355
3356
3357
3358
3359
3360
3361
3362
3363
3364
3365
3366
3367
3368
3369
3370
3371
3372
3373
3374
3375
3376
3377
3378
3379
3380
3381
3382
3383
3384
3385
3386
3387
3388
3389
3390
3391
3392
3393
3394
3395
3396
3397
3398
3399
3400
3401
3402
3403
3404
3405
3406
3407
3408
3409
3410
3411
3412
3413
3414
3415
3416
3417
3418
3419
3420
3421
3422
3423
3424
3425
3426
3427
3428
3429
3430
3431
3432
3433
3434
3435
3436
3437
3438
3439
3440
3441
3442
3443
3444
3445
3446
3447
3448
3449
3450
3451
3452
3453
3454
3455
3456
3457
3458
3459
3460
3461
3462
3463
3464
3465
3466
3467
3468
3469
3470
3471
3472
3473
3474
3475
3476
3477
3478
3479
3480
3481
3482
3483
3484
3485
3486
3487
3488
3489
3490
3491
3492
3493
3494
3495
3496
3497
3498
3499
3500
3501
3502
3503
3504
3505
3506
3507
3508
3509
3510
3511
3512
3513
3514
3515
3516
3517
3518
3519
3520
3521
3522
3523
3524
3525
3526
3527
3528
3529
3530
3531
3532
3533
3534
3535
3536
3537
3538
3539
3540
3541
3542
3543
3544
3545
3546
3547
3548
3549
3550
3551
3552
3553
3554
3555
3556
3557
3558
3559
3560
3561
3562
3563
3564
3565
3566
3567
3568
3569
3570
3571
3572
3573
3574
3575
3576
3577
3578
3579
3580
3581
3582
3583
3584
3585
3586
3587
3588
3589
3590
3591
3592
3593
3594
3595
3596
3597
3598
3599
3600
3601
3602
3603
3604
3605
3606
3607
3608
3609
3610
3611
3612
3613
3614
3615
3616
3617
3618
3619
3620
3621
3622
3623
3624
3625
3626
3627
3628
3629
3630
3631
3632
3633
3634
3635
3636
3637
3638
3639
3640
3641
3642
3643
3644
3645
3646
3647
3648
3649
3650
3651
3652
3653
3654
3655
3656
3657
3658
3659
3660
3661
3662
3663
3664
3665
3666
3667
3668
3669
3670
3671
3672
3673
3674
3675
3676
3677
3678
3679
3680
3681
3682
3683
3684
3685
3686
3687
3688
3689
3690
3691
3692
3693
3694
3695
3696
3697
3698
3699
3700
3701
3702
3703
3704
3705
3706
3707
3708
3709
3710
3711
3712
3713
3714
3715
3716
3717
3718
3719
3720
3721
3722
3723
3724
3725
3726
3727
3728
3729
3730
3731
3732
3733
3734
3735
3736
3737
3738
3739
3740
3741
3742
3743
3744
3745
3746
3747
3748
3749
3750
3751
3752
3753
3754
3755
3756
3757
3758
3759
3760
3761
3762
3763
3764
3765
3766
3767
3768
3769
3770
3771
3772
3773
3774
3775
3776
3777
3778
3779
3780
3781
3782
3783
3784
3785
3786
3787
3788
3789
3790
3791
3792
3793
3794
3795
3796
3797
3798
3799
3800
3801
3802
3803
3804
3805
3806
3807
3808
3809
3810
3811
3812
3813
3814
3815
3816
3817
3818
3819
3820
3821
3822
3823
3824
3825
3826
3827
3828
3829
3830
3831
3832
3833
3834
3835
3836
3837
3838
3839
3840
3841
3842
3843
3844
3845
3846
3847
3848
3849
3850
3851
3852
3853
3854
3855
3856
3857
3858
3859
3860
3861
3862
3863
3864
3865
3866
3867
3868
3869
3870
3871
3872
3873
3874
3875
3876
3877
3878
3879
3880
3881
3882
3883
3884
3885
3886
3887
3888
3889
3890
3891
3892
3893
3894
3895
3896
3897
3898
3899
3900
3901
3902
3903
3904
3905
3906
3907
3908
3909
3910
3911
3912
3913
3914
3915
3916
3917
3918
3919
3920
3921
3922
3923
3924
3925
3926
3927
3928
3929
3930
3931
3932
3933
3934
3935
3936
3937
3938
3939
3940
3941
3942
3943
3944
3945
3946
3947
3948
3949
3950
3951
3952
3953
3954
3955
3956
3957
3958
3959
3960
3961
3962
3963
3964
3965
3966
3967
3968
3969
3970
3971
3972
3973
3974
3975
3976
3977
3978
3979
3980
3981
3982
3983
3984
3985
3986
3987
3988
3989
3990
3991
3992
3993
3994
3995
3996
3997
3998
3999
4000
4001
4002
4003
4004
4005
4006
4007
4008
4009
4010
4011
4012
4013
4014
4015
4016
4017
4018
4019
4020
4021
4022
4023
4024
4025
4026
4027
4028
4029
4030
4031
4032
4033
4034
4035
4036
4037
4038
4039
4040
4041
4042
4043
4044
4045
4046
4047
4048
4049
4050
4051
4052
4053
4054
4055
4056
4057
4058
4059
4060
4061
4062
4063
4064
4065
4066
4067
4068
4069
4070
4071
4072
4073
4074
4075
4076
4077
4078
4079
4080
4081
4082
4083
4084
4085
4086
4087
4088
4089
4090
4091
4092
4093
4094
4095
4096
4097
4098
4099
4100
4101
4102
4103
4104
4105
4106
4107
4108
4109
4110
4111
4112
4113
4114
4115
4116
4117
4118
4119
4120
4121
4122
4123
4124
4125
4126
4127
4128
4129
4130
4131
4132
4133
4134
4135
4136
4137
4138
4139
4140
4141
4142
4143
4144
4145
4146
4147
4148
4149
4150
4151
4152
4153
4154
4155
4156
4157
4158
4159
4160
4161
4162
4163
4164
4165
4166
4167
4168
4169
4170
4171
4172
4173
4174
4175
4176
4177
4178
4179
4180
4181
4182
4183
4184
4185
4186
4187
4188
4189
4190
4191
4192
4193
4194
4195
4196
4197
4198
4199
4200
4201
4202
4203
4204
4205
4206
4207
4208
4209
4210
4211
4212
4213
4214
4215
4216
4217
4218
4219
4220
4221
4222
4223
4224
4225
4226
4227
4228
4229
4230
4231
4232
4233
4234
4235
4236
4237
4238
4239
4240
4241
4242
4243
4244
4245
4246
4247
4248
4249
4250
4251
4252
4253
4254
4255
4256
4257
4258
4259
4260
4261
4262
4263
4264
4265
4266
4267
4268
4269
4270
4271
4272
4273
4274
4275
4276
4277
4278
4279
4280
4281
4282
4283
4284
4285
4286
4287
4288
4289
4290
4291
4292
4293
4294
4295
4296
4297
4298
4299
4300
4301
4302
4303
4304
4305
4306
4307
4308
4309
4310
4311
4312
4313
4314
4315
4316
4317
4318
4319
4320
4321
4322
4323
4324
4325
4326
4327
4328
4329
4330
4331
4332
4333
4334
4335
4336
4337
4338
4339
4340
4341
4342
4343
4344
4345
4346
4347
4348
4349
4350
4351
4352
4353
4354
4355
4356
4357
4358
4359
4360
4361
4362
4363
4364
4365
4366
4367
4368
4369
4370
4371
4372
4373
4374
4375
4376
4377
4378
4379
4380
4381
4382
4383
4384
4385
4386
4387
4388
4389
4390
4391
4392
4393
4394
4395
4396
4397
4398
4399
4400
4401
4402
4403
4404
4405
4406
4407
4408
4409
4410
4411
4412
4413
4414
4415
4416
4417
4418
4419
4420
4421
4422
4423
4424
4425
4426
4427
4428
4429
4430
4431
4432
4433
4434
4435
4436
4437
4438
4439
4440
4441
4442
4443
4444
4445
4446
4447
4448
4449
4450
4451
4452
4453
4454
4455
4456
4457
4458
4459
4460
4461
4462
4463
4464
4465
4466
4467
4468
4469
4470
4471
4472
4473
4474
4475
4476
4477
4478
4479
4480
4481
4482
4483
4484
4485
4486
4487
4488
4489
4490
4491
4492
4493
4494
4495
4496
4497
4498
4499
4500
4501
4502
4503
4504
4505
4506
4507
4508
4509
4510
4511
4512
4513
4514
4515
4516
4517
4518
4519
4520
4521
4522
4523
4524
4525
4526
4527
4528
4529
4530
4531
4532
4533
4534
4535
4536
4537
4538
4539
4540
4541
4542
4543
4544
4545
4546
4547
4548
4549
4550
4551
4552
4553
4554
4555
4556
4557
4558
4559
4560
4561
4562
4563
4564
4565
4566
4567
4568
4569
4570
4571
4572
4573
4574
4575
4576
4577
4578
4579
4580
4581
4582
4583
4584
4585
4586
4587
4588
4589
4590
4591
4592
4593
4594
4595
4596
4597
4598
4599
4600
4601
4602
4603
4604
4605
4606
4607
4608
4609
4610
4611
4612
4613
4614
4615
4616
4617
4618
4619
4620
4621
4622
4623
4624
4625
4626
4627
4628
4629
4630
4631
4632
4633
4634
4635
4636
4637
4638
4639
4640
4641
4642
4643
4644
4645
4646
4647
4648
4649
4650
4651
4652
4653
4654
4655
4656
4657
4658
4659
4660
4661
4662
4663
4664
4665
4666
4667
4668
4669
4670
4671
4672
4673
4674
4675
4676
4677
4678
4679
4680
4681
4682
4683
4684
4685
4686
4687
4688
4689
4690
4691
4692
4693
4694
4695
4696
4697
4698
4699
4700
4701
4702
4703
4704
4705
4706
4707
4708
4709
4710
4711
4712
4713
4714
4715
4716
4717
4718
4719
4720
4721
4722
4723
4724
4725
4726
4727
4728
4729
4730
4731
4732
4733
4734
4735
4736
4737
4738
4739
4740
4741
4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
4758
4759
4760
4761
4762
4763
4764
4765
4766
4767
4768
4769
4770
4771
4772
4773
4774
4775
4776
4777
4778
4779
4780
4781
4782
4783
4784
4785
4786
4787
4788
4789
4790
4791
4792
4793
4794
4795
4796
4797
4798
4799
4800
4801
4802
4803
4804
4805
4806
4807
4808
4809
4810
4811
4812
4813
4814
4815
4816
4817
4818
4819
4820
4821
4822
4823
4824
4825
4826
4827
4828
4829
4830
4831
4832
4833
4834
4835
4836
4837
4838
4839
4840
4841
4842
4843
4844
4845
4846
4847
4848
4849
4850
4851
4852
4853
4854
4855
4856
4857
4858
4859
4860
4861
4862
4863
4864
4865
4866
4867
4868
4869
4870
4871
4872
4873
4874
4875
4876
4877
4878
4879
4880
4881
4882
4883
4884
4885
4886
4887
4888
4889
4890
4891
4892
4893
4894
4895
4896
4897
4898
4899
4900
4901
4902
4903
4904
4905
4906
4907
4908
4909
4910
4911
4912
4913
4914
4915
4916
4917
4918
4919
4920
4921
4922
4923
4924
4925
4926
4927
4928
4929
4930
4931
4932
4933
4934
4935
4936
4937
4938
4939
4940
4941
4942
4943
4944
4945
4946
4947
4948
4949
4950
4951
4952
4953
4954
4955
4956
4957
4958
4959
4960
4961
4962
4963
4964
4965
4966
4967
4968
4969
4970
4971
4972
4973
4974
4975
4976
4977
4978
4979
4980
4981
4982
4983
4984
4985
4986
4987
4988
4989
4990
4991
4992
4993
4994
4995
4996
4997
4998
4999
5000
5001
5002
5003
5004
5005
5006
5007
5008
5009
5010
5011
5012
5013
5014
5015
5016
5017
5018
5019
5020
5021
5022
5023
5024
5025
5026
5027
5028
5029
5030
5031
5032
5033
5034
5035
5036
5037
5038
5039
5040
5041
5042
5043
5044
5045
5046
5047
5048
5049
5050
5051
5052
5053
5054
5055
5056
5057
5058
5059
5060
5061
5062
5063
5064
5065
5066
5067
5068
5069
5070
5071
5072
5073
5074
5075
5076
5077
5078
5079
5080
5081
5082
5083
5084
5085
5086
5087
5088
5089
5090
5091
5092
5093
5094
5095
5096
5097
5098
5099
5100
5101
5102
5103
5104
5105
5106
5107
5108
5109
5110
5111
5112
5113
5114
5115
5116
5117
5118
5119
5120
5121
5122
5123
5124
5125
5126
5127
5128
5129
5130
5131
5132
5133
5134
5135
5136
5137
5138
5139
5140
5141
5142
5143
5144
5145
5146
5147
5148
5149
5150
5151
5152
5153
5154
5155
5156
5157
5158
5159
5160
5161
5162
5163
5164
5165
5166
5167
5168
5169
5170
5171
5172
5173
5174
5175
5176
5177
5178
5179
5180
5181
5182
5183
5184
5185
5186
5187
5188
5189
5190
5191
5192
5193
5194
5195
5196
5197
5198
5199
5200
5201
5202
5203
5204
5205
5206
5207
5208
5209
5210
5211
5212
5213
5214
5215
5216
5217
5218
5219
5220
5221
5222
5223
5224
5225
5226
5227
5228
5229
5230
5231
5232
5233
5234
5235
5236
5237
5238
5239
5240
5241
5242
5243
5244
5245
5246
5247
5248
5249
5250
5251
5252
5253
5254
5255
5256
5257
5258
5259
5260
5261
5262
5263
5264
5265
5266
5267
5268
5269
5270
5271
5272
5273
5274
5275
5276
5277
5278
5279
5280
5281
5282
5283
5284
5285
5286
5287
5288
5289
5290
5291
5292
5293
5294
5295
5296
5297
5298
5299
5300
5301
5302
5303
5304
5305
5306
5307
5308
5309
5310
5311
5312
5313
5314
5315
5316
5317
5318
5319
5320
5321
5322
5323
5324
5325
5326
5327
5328
5329
5330
5331
5332
5333
5334
5335
5336
5337
5338
5339
5340
5341
5342
5343
5344
5345
5346
5347
5348
5349
5350
5351
5352
5353
5354
5355
5356
5357
5358
5359
5360
5361
5362
5363
5364
5365
5366
5367
5368
5369
5370
5371
5372
5373
5374
5375
5376
5377
5378
5379
5380
5381
5382
5383
5384
5385
5386
5387
5388
5389
5390
5391
5392
5393
5394
5395
5396
5397
5398
5399
5400
5401
5402
5403
5404
5405
5406
5407
5408
5409
5410
5411
5412
5413
5414
5415
5416
5417
5418
5419
5420
5421
5422
5423
5424
5425
5426
5427
5428
5429
5430
5431
5432
5433
5434
5435
5436
5437
5438
5439
5440
5441
5442
5443
5444
5445
5446
5447
5448
5449
5450
5451
5452
5453
5454
5455
5456
5457
5458
5459
5460
5461
5462
5463
5464
5465
5466
5467
5468
5469
5470
5471
5472
5473
5474
5475
5476
5477
5478
5479
5480
5481
5482
5483
5484
5485
5486
5487
5488
5489
5490
5491
5492
5493
5494
5495
5496
5497
5498
5499
5500
5501
5502
5503
5504
5505
5506
5507
5508
5509
5510
5511
5512
5513
5514
5515
5516
5517
5518
5519
5520
5521
5522
5523
5524
5525
5526
5527
5528
5529
5530
5531
5532
5533
5534
5535
5536
5537
5538
5539
5540
5541
5542
5543
5544
5545
5546
5547
5548
5549
5550
5551
5552
5553
5554
5555
5556
5557
5558
5559
5560
5561
5562
5563
5564
5565
5566
5567
5568
5569
5570
5571
5572
5573
5574
5575
5576
5577
5578
5579
5580
5581
5582
5583
5584
5585
5586
5587
5588
5589
5590
5591
5592
5593
5594
5595
5596
5597
5598
5599
5600
5601
5602
5603
5604
5605
5606
5607
5608
5609
5610
5611
5612
5613
5614
5615
5616
5617
5618
5619
5620
5621
5622
5623
5624
5625
5626
5627
5628
5629
5630
5631
5632
5633
5634
5635
5636
5637
5638
5639
5640
5641
5642
5643
5644
5645
5646
5647
5648
5649
5650
5651
5652
5653
5654
5655
5656
5657
5658
5659
5660
5661
5662
5663
5664
5665
5666
5667
5668
5669
5670
5671
5672
5673
5674
5675
5676
5677
5678
5679
5680
5681
5682
5683
5684
5685
5686
5687
5688
5689
5690
5691
5692
5693
5694
5695
5696
5697
5698
5699
5700
5701
5702
5703
5704
5705
5706
5707
5708
5709
5710
5711
5712
5713
5714
5715
5716
5717
5718
5719
5720
5721
5722
5723
5724
5725
5726
5727
5728
5729
5730
5731
5732
5733
5734
5735
5736
5737
5738
5739
5740
5741
5742
5743
5744
5745
5746
5747
5748
5749
5750
5751
5752
5753
5754
5755
5756
5757
5758
5759
5760
5761
5762
5763
5764
5765
5766
5767
5768
5769
5770
5771
5772
5773
5774
5775
5776
5777
5778
5779
5780
5781
5782
5783
5784
5785
5786
5787
5788
5789
5790
5791
5792
5793
5794
5795
5796
5797
5798
5799
5800
5801
5802
5803
5804
5805
5806
5807
5808
5809
5810
5811
5812
5813
5814
5815
5816
5817
5818
5819
5820
5821
5822
5823
5824
5825
5826
5827
5828
5829
5830
5831
5832
5833
5834
5835
5836
5837
5838
5839
5840
5841
5842
5843
5844
5845
5846
5847
5848
5849
5850
5851
5852
5853
5854
5855
5856
5857
5858
5859
5860
5861
5862
5863
5864
5865
5866
5867
5868
5869
5870
5871
5872
5873
5874
5875
5876
5877
5878
5879
5880
5881
5882
5883
5884
5885
5886
5887
5888
5889
5890
5891
5892
5893
5894
5895
5896
5897
5898
5899
5900
5901
5902
5903
5904
5905
5906
5907
5908
5909
5910
5911
5912
5913
5914
5915
5916
5917
5918
5919
5920
5921
5922
5923
5924
5925
5926
5927
5928
5929
5930
5931
5932
5933
5934
5935
5936
5937
5938
5939
5940
5941
5942
5943
5944
5945
5946
5947
5948
5949
5950
5951
5952
5953
5954
5955
5956
5957
5958
5959
5960
5961
5962
5963
5964
5965
5966
5967
5968
5969
5970
5971
5972
5973
5974
5975
5976
5977
5978
5979
5980
5981
5982
5983
5984
5985
5986
5987
5988
5989
5990
5991
5992
5993
5994
5995
5996
5997
5998
5999
6000
6001
6002
6003
6004
6005
6006
6007
6008
6009
6010
6011
6012
6013
6014
6015
6016
6017
6018
6019
6020
6021
6022
6023
6024
6025
6026
6027
6028
6029
6030
6031
6032
6033
6034
6035
6036
6037
6038
6039
6040
6041
6042
6043
6044
6045
6046
6047
6048
6049
6050
6051
6052
6053
6054
6055
6056
6057
6058
6059
6060
6061
6062
6063
6064
6065
6066
6067
6068
6069
6070
6071
6072
6073
6074
6075
6076
6077
6078
6079
6080
6081
6082
6083
6084
6085
6086
6087
6088
6089
6090
6091
6092
6093
6094
6095
6096
6097
6098
6099
6100
6101
6102
6103
6104
6105
6106
6107
6108
6109
6110
6111
6112
6113
6114
6115
6116
6117
6118
6119
6120
6121
6122
6123
6124
6125
6126
6127
6128
6129
6130
6131
6132
6133
6134
6135
6136
6137
6138
6139
6140
6141
6142
6143
6144
6145
6146
6147
6148
6149
6150
6151
6152
6153
6154
6155
6156
6157
6158
6159
6160
6161
6162
6163
6164
6165
6166
6167
6168
6169
6170
6171
6172
6173
6174
6175
6176
6177
6178
6179
6180
6181
6182
6183
6184
6185
6186
6187
6188
6189
6190
6191
6192
6193
6194
6195
6196
6197
6198
6199
6200
6201
6202
6203
6204
6205
6206
6207
6208
6209
6210
6211
6212
6213
6214
6215
6216
6217
6218
6219
6220
6221
6222
6223
6224
6225
6226
6227
6228
6229
6230
6231
6232
6233
6234
6235
6236
6237
6238
6239
6240
6241
6242
6243
6244
6245
6246
6247
6248
6249
6250
6251
6252
6253
6254
6255
6256
6257
6258
6259
6260
6261
6262
6263
6264
6265
6266
6267
6268
6269
6270
6271
6272
6273
6274
6275
6276
6277
6278
6279
6280
6281
6282
6283
6284
6285
6286
6287
6288
6289
6290
6291
6292
6293
6294
6295
6296
6297
6298
6299
6300
6301
6302
6303
6304
6305
6306
6307
6308
6309
6310
6311
6312
6313
6314
6315
6316
6317
6318
6319
6320
6321
6322
6323
6324
6325
6326
6327
6328
6329
6330
6331
6332
6333
6334
6335
6336
6337
6338
6339
6340
6341
6342
6343
6344
6345
6346
6347
6348
6349
6350
6351
6352
6353
6354
6355
6356
6357
6358
6359
6360
6361
6362
6363
6364
6365
6366
6367
6368
6369
6370
6371
6372
6373
6374
6375
6376
6377
6378
6379
6380
6381
6382
6383
6384
6385
6386
6387
6388
6389
6390
6391
6392
6393
6394
6395
6396
6397
6398
6399
6400
6401
6402
6403
6404
6405
6406
6407
6408
6409
6410
6411
6412
6413
6414
6415
6416
6417
6418
6419
6420
6421
6422
6423
6424
6425
6426
6427
6428
6429
6430
6431
6432
6433
6434
6435
6436
6437
6438
6439
6440
6441
6442
6443
6444
6445
6446
6447
6448
6449
6450
6451
6452
6453
6454
6455
6456
6457
6458
6459
6460
6461
6462
6463
6464
6465
6466
6467
6468
6469
6470
6471
6472
6473
6474
6475
6476
6477
6478
6479
6480
6481
6482
6483
6484
6485
6486
6487
6488
6489
6490
6491
6492
6493
6494
6495
6496
6497
6498
6499
6500
6501
6502
6503
6504
6505
6506
6507
6508
6509
6510
6511
6512
6513
6514
6515
6516
6517
6518
6519
6520
6521
6522
6523
6524
6525
6526
6527
6528
6529
6530
6531
6532
6533
6534
6535
6536
6537
6538
6539
6540
6541
6542
6543
6544
6545
6546
6547
6548
6549
6550
6551
6552
6553
6554
6555
6556
6557
6558
6559
6560
6561
6562
6563
6564
6565
6566
6567
6568
6569
6570
6571
6572
6573
6574
6575
6576
6577
6578
6579
6580
6581
6582
6583
6584
6585
6586
6587
6588
6589
6590
6591
6592
6593
6594
6595
6596
6597
6598
6599
6600
6601
6602
6603
6604
6605
6606
6607
6608
6609
6610
6611
6612
6613
6614
6615
6616
6617
6618
6619
6620
6621
6622
6623
6624
6625
6626
6627
6628
6629
6630
6631
6632
6633
6634
6635
6636
6637
6638
6639
6640
6641
6642
6643
6644
6645
6646
6647
6648
6649
6650
6651
6652
6653
6654
6655
6656
6657
6658
6659
6660
6661
6662
6663
6664
6665
6666
6667
6668
6669
6670
6671
6672
6673
6674
6675
6676
6677
6678
6679
6680
6681
6682
6683
6684
6685
6686
6687
6688
6689
6690
6691
6692
6693
6694
6695
6696
6697
6698
6699
6700
6701
6702
6703
6704
6705
6706
6707
6708
6709
6710
6711
6712
6713
6714
6715
6716
6717
6718
6719
6720
6721
6722
6723
6724
6725
6726
6727
6728
6729
6730
6731
6732
6733
6734
6735
6736
6737
6738
6739
6740
6741
6742
6743
6744
6745
6746
6747
6748
6749
6750
6751
6752
6753
6754
6755
6756
6757
6758
6759
6760
6761
6762
6763
6764
6765
6766
6767
6768
6769
6770
6771
6772
6773
6774
6775
6776
6777
6778
6779
6780
6781
6782
6783
6784
6785
6786
6787
6788
6789
6790
6791
6792
6793
6794
6795
6796
6797
6798
6799
6800
6801
6802
6803
6804
6805
6806
6807
6808
6809
6810
6811
6812
6813
6814
6815
6816
6817
6818
6819
6820
6821
6822
6823
6824
6825
6826
6827
6828
6829
6830
6831
6832
6833
6834
6835
6836
6837
6838
6839
6840
6841
6842
6843
6844
6845
6846
6847
6848
6849
6850
6851
6852
6853
6854
6855
6856
6857
6858
6859
6860
6861
6862
6863
6864
6865
6866
6867
6868
6869
6870
6871
6872
6873
6874
6875
6876
6877
6878
6879
6880
6881
6882
6883
6884
6885
6886
6887
6888
6889
6890
6891
6892
6893
6894
6895
6896
6897
6898
6899
6900
6901
6902
6903
6904
6905
6906
6907
6908
6909
6910
6911
6912
6913
6914
6915
6916
6917
6918
6919
6920
6921
6922
6923
6924
6925
6926
6927
6928
6929
6930
6931
6932
6933
6934
6935
6936
6937
6938
6939
6940
6941
6942
6943
6944
6945
6946
6947
6948
6949
6950
6951
6952
6953
6954
6955
6956
6957
6958
6959
6960
6961
6962
6963
6964
6965
6966
6967
6968
6969
6970
6971
6972
6973
6974
6975
6976
6977
6978
6979
6980
6981
6982
6983
6984
6985
6986
6987
6988
6989
6990
6991
6992
6993
6994
6995
6996
6997
6998
6999
7000
7001
7002
7003
7004
7005
7006
7007
7008
7009
7010
7011
7012
7013
7014
7015
7016
7017
7018
7019
7020
7021
7022
7023
7024
7025
7026
7027
7028
7029
7030
7031
7032
7033
7034
7035
7036
7037
7038
7039
7040
7041
7042
7043
7044
7045
7046
7047
7048
7049
7050
7051
7052
7053
7054
7055
7056
7057
7058
7059
7060
7061
7062
7063
7064
7065
7066
7067
7068
7069
7070
7071
7072
7073
7074
7075
7076
7077
7078
7079
7080
7081
7082
7083
7084
7085
7086
7087
7088
7089
7090
7091
7092
7093
7094
7095
7096
7097
7098
7099
7100
7101
7102
7103
7104
7105
7106
7107
7108
7109
7110
7111
7112
7113
7114
7115
7116
7117
7118
7119
7120
7121
7122
7123
7124
7125
7126
7127
7128
7129
7130
7131
7132
7133
7134
7135
7136
7137
7138
7139
7140
7141
7142
7143
7144
7145
7146
7147
7148
7149
7150
7151
7152
7153
7154
7155
7156
7157
7158
7159
7160
7161
7162
7163
7164
7165
7166
7167
7168
7169
7170
7171
7172
7173
7174
7175
7176
7177
7178
7179
7180
7181
7182
7183
7184
7185
7186
7187
7188
7189
7190
7191
7192
7193
7194
7195
7196
7197
7198
7199
7200
7201
7202
7203
7204
7205
7206
7207
7208
7209
7210
7211
7212
7213
7214
7215
7216
7217
7218
7219
7220
7221
7222
7223
7224
7225
7226
7227
7228
7229
7230
7231
7232
7233
7234
7235
7236
7237
7238
7239
7240
7241
7242
7243
7244
7245
7246
7247
7248
7249
7250
7251
7252
7253
7254
7255
7256
7257
7258
7259
7260
7261
7262
7263
7264
7265
7266
7267
7268
7269
7270
7271
7272
7273
7274
7275
7276
7277
7278
7279
7280
7281
7282
7283
7284
7285
7286
7287
7288
7289
7290
7291
7292
7293
7294
7295
7296
7297
7298
7299
7300
7301
7302
7303
7304
7305
7306
7307
7308
7309
7310
7311
7312
7313
7314
7315
7316
7317
7318
7319
7320
7321
7322
7323
7324
7325
7326
7327
7328
7329
7330
7331
7332
7333
7334
7335
7336
7337
7338
7339
7340
7341
7342
7343
7344
7345
7346
7347
7348
7349
7350
7351
7352
7353
7354
7355
7356
7357
7358
7359
7360
7361
7362
7363
7364
7365
7366
7367
7368
7369
7370
7371
7372
7373
7374
7375
7376
7377
7378
7379
7380
7381
7382
7383
7384
7385
7386
7387
7388
7389
7390
7391
7392
7393
7394
7395
7396
7397
7398
7399
7400
7401
7402
7403
7404
7405
7406
7407
7408
7409
7410
7411
7412
7413
7414
7415
7416
7417
7418
7419
7420
7421
7422
7423
7424
7425
7426
7427
7428
7429
7430
7431
7432
7433
7434
7435
7436
7437
7438
7439
7440
7441
7442
7443
7444
7445
7446
7447
7448
7449
7450
7451
7452
7453
7454
7455
7456
7457
7458
7459
7460
7461
7462
7463
7464
7465
7466
7467
7468
7469
7470
7471
7472
7473
7474
7475
7476
7477
7478
7479
7480
7481
7482
7483
7484
7485
7486
7487
7488
7489
7490
7491
7492
7493
7494
7495
7496
7497
7498
7499
7500
7501
7502
7503
7504
7505
7506
7507
7508
7509
7510
7511
7512
7513
7514
7515
7516
7517
7518
7519
7520
7521
7522
7523
7524
7525
7526
7527
7528
7529
7530
7531
7532
7533
7534
7535
7536
7537
7538
7539
7540
7541
7542
7543
7544
7545
7546
7547
7548
7549
7550
7551
7552
7553
7554
7555
7556
7557
7558
7559
7560
7561
7562
7563
7564
7565
7566
7567
7568
7569
7570
7571
7572
7573
7574
7575
7576
7577
7578
7579
7580
7581
7582
7583
7584
7585
7586
7587
7588
7589
7590
7591
7592
7593
7594
7595
7596
7597
7598
7599
7600
7601
7602
7603
7604
7605
7606
7607
7608
7609
7610
7611
7612
7613
7614
7615
7616
7617
7618
7619
7620
7621
7622
7623
7624
7625
7626
7627
7628
7629
7630
7631
7632
7633
7634
7635
7636
7637
7638
7639
7640
7641
7642
7643
7644
7645
7646
7647
7648
7649
7650
7651
7652
7653
7654
7655
7656
7657
7658
7659
7660
7661
7662
7663
7664
7665
7666
7667
7668
7669
7670
7671
7672
7673
7674
7675
7676
7677
7678
7679
7680
7681
7682
7683
7684
7685
7686
7687
7688
7689
7690
7691
7692
7693
7694
7695
7696
7697
7698
7699
7700
7701
7702
7703
7704
7705
7706
7707
7708
7709
7710
7711
7712
7713
7714
7715
7716
7717
7718
7719
7720
7721
7722
7723
7724
7725
7726
7727
7728
7729
7730
7731
7732
7733
7734
7735
7736
7737
7738
7739
7740
7741
7742
7743
7744
7745
7746
7747
7748
7749
7750
7751
7752
7753
7754
7755
7756
7757
7758
7759
7760
7761
7762
7763
7764
7765
7766
7767
7768
7769
7770
7771
7772
7773
7774
7775
7776
7777
7778
7779
7780
7781
7782
7783
7784
7785
7786
7787
7788
7789
7790
7791
7792
7793
7794
7795
7796
7797
7798
7799
7800
7801
7802
7803
7804
7805
7806
7807
7808
7809
7810
7811
7812
7813
7814
7815
7816
7817
7818
7819
7820
7821
7822
7823
7824
7825
7826
7827
7828
7829
7830
7831
7832
7833
7834
7835
7836
7837
7838
7839
7840
7841
7842
7843
7844
7845
7846
7847
7848
7849
7850
7851
7852
7853
7854
7855
7856
7857
7858
7859
7860
7861
7862
7863
7864
7865
7866
7867
7868
7869
7870
7871
7872
7873
7874
7875
7876
7877
7878
7879
7880
7881
7882
7883
7884
7885
7886
7887
7888
7889
7890
7891
7892
7893
7894
7895
7896
7897
7898
7899
7900
7901
7902
7903
7904
7905
7906
7907
7908
7909
7910
7911
7912
7913
7914
7915
7916
7917
7918
7919
7920
7921
7922
7923
7924
7925
7926
7927
7928
7929
7930
7931
7932
7933
7934
7935
7936
7937
7938
7939
7940
7941
7942
7943
7944
7945
7946
7947
7948
7949
7950
7951
7952
7953
7954
7955
7956
7957
7958
7959
7960
7961
7962
7963
7964
7965
7966
7967
7968
7969
7970
7971
7972
7973
7974
7975
7976
7977
7978
7979
7980
7981
7982
7983
7984
7985
7986
7987
7988
7989
7990
7991
7992
7993
7994
7995
7996
7997
7998
7999
8000
8001
8002
8003
8004
8005
8006
8007
8008
8009
8010
8011
8012
8013
8014
8015
8016
8017
8018
8019
8020
8021
8022
8023
8024
8025
8026
8027
8028
8029
8030
8031
8032
8033
8034
8035
8036
8037
8038
8039
8040
8041
8042
8043
8044
8045
8046
8047
8048
8049
8050
8051
8052
8053
8054
8055
8056
8057
8058
8059
8060
8061
8062
8063
8064
8065
8066
8067
8068
8069
8070
8071
8072
8073
8074
8075
8076
8077
8078
8079
8080
8081
8082
8083
8084
8085
8086
8087
8088
8089
8090
8091
8092
8093
8094
8095
8096
8097
8098
8099
8100
8101
8102
8103
8104
8105
8106
8107
8108
8109
8110
8111
8112
8113
8114
8115
8116
8117
8118
8119
8120
8121
8122
8123
8124
8125
8126
8127
8128
8129
8130
8131
8132
8133
8134
8135
8136
8137
8138
8139
8140
8141
8142
8143
8144
8145
8146
8147
8148
8149
8150
8151
8152
8153
8154
8155
8156
8157
8158
8159
8160
8161
8162
8163
8164
8165
8166
8167
8168
8169
8170
8171
8172
8173
8174
8175
8176
8177
8178
8179
8180
8181
8182
8183
8184
8185
8186
8187
8188
8189
8190
8191
8192
8193
8194
8195
8196
8197
8198
8199
8200
8201
8202
8203
8204
8205
8206
8207
8208
8209
8210
8211
8212
8213
8214
8215
8216
8217
8218
8219
8220
8221
8222
8223
8224
8225
8226
8227
8228
8229
8230
8231
8232
8233
8234
8235
8236
8237
8238
8239
8240
8241
8242
8243
8244
8245
8246
8247
8248
8249
8250
8251
8252
8253
8254
8255
8256
8257
8258
8259
8260
8261
8262
8263
8264
8265
8266
8267
8268
8269
8270
8271
8272
8273
8274
8275
8276
8277
8278
8279
8280
8281
8282
8283
8284
8285
8286
8287
8288
8289
8290
8291
8292
8293
8294
8295
8296
8297
8298
8299
8300
8301
8302
8303
8304
8305
8306
8307
8308
8309
8310
8311
8312
8313
8314
8315
8316
8317
8318
8319
8320
8321
8322
8323
8324
8325
8326
8327
8328
8329
8330
8331
8332
8333
8334
8335
8336
8337
8338
8339
8340
8341
8342
8343
8344
8345
8346
8347
8348
8349
8350
8351
8352
8353
8354
8355
8356
8357
8358
8359
8360
8361
8362
8363
8364
8365
8366
8367
8368
8369
8370
8371
8372
8373
8374
8375
8376
8377
8378
8379
8380
8381
8382
8383
8384
8385
8386
8387
8388
8389
8390
8391
8392
8393
8394
8395
8396
8397
8398
8399
8400
8401
8402
8403
8404
8405
8406
8407
8408
8409
8410
8411
8412
8413
8414
8415
8416
8417
8418
8419
8420
8421
8422
8423
8424
8425
8426
8427
8428
8429
8430
8431
8432
8433
8434
8435
8436
8437
8438
8439
8440
8441
8442
8443
8444
8445
8446
8447
8448
8449
8450
8451
8452
8453
8454
8455
8456
8457
8458
8459
8460
8461
8462
8463
8464
8465
8466
8467
8468
8469
8470
8471
8472
8473
8474
8475
8476
8477
8478
8479
8480
8481
8482
8483
8484
8485
8486
8487
8488
8489
8490
8491
8492
8493
8494
8495
8496
8497
8498
8499
8500
8501
8502
8503
8504
8505
8506
8507
8508
8509
8510
8511
8512
8513
8514
8515
8516
8517
8518
8519
8520
8521
8522
8523
8524
8525
8526
8527
8528
8529
8530
8531
8532
8533
8534
8535
8536
8537
8538
8539
8540
8541
8542
8543
8544
8545
8546
8547
8548
8549
8550
8551
8552
8553
8554
8555
8556
8557
8558
8559
8560
8561
8562
8563
8564
8565
8566
8567
8568
8569
8570
8571
8572
8573
8574
8575
8576
8577
8578
8579
8580
8581
8582
8583
8584
8585
8586
8587
8588
8589
8590
8591
8592
8593
8594
8595
8596
8597
8598
8599
8600
8601
8602
8603
8604
8605
8606
8607
8608
8609
8610
8611
8612
8613
8614
8615
8616
8617
8618
8619
8620
8621
8622
8623
8624
8625
8626
8627
8628
8629
8630
8631
8632
8633
8634
8635
8636
8637
8638
8639
8640
8641
8642
8643
8644
8645
8646
8647
8648
8649
8650
8651
8652
8653
8654
8655
8656
8657
8658
8659
8660
8661
8662
8663
8664
8665
8666
8667
8668
8669
8670
8671
8672
8673
8674
8675
8676
8677
8678
8679
8680
8681
8682
8683
8684
8685
8686
8687
8688
8689
8690
8691
8692
8693
8694
8695
8696
8697
8698
8699
8700
8701
8702
8703
8704
8705
8706
8707
8708
8709
8710
8711
8712
8713
8714
8715
8716
8717
8718
8719
8720
8721
8722
8723
8724
8725
8726
8727
8728
8729
8730
8731
8732
8733
8734
8735
8736
8737
8738
8739
8740
8741
8742
8743
8744
8745
8746
8747
8748
8749
8750
8751
8752
8753
8754
8755
8756
8757
8758
8759
8760
8761
8762
8763
8764
8765
8766
8767
8768
8769
8770
8771
8772
8773
8774
8775
8776
8777
8778
8779
8780
8781
8782
8783
8784
8785
8786
8787
8788
8789
8790
8791
8792
8793
8794
8795
8796
8797
8798
8799
8800
8801
8802
8803
8804
8805
8806
8807
8808
8809
8810
8811
8812
8813
8814
8815
8816
8817
8818
8819
8820
8821
8822
8823
8824
8825
8826
8827
8828
8829
8830
8831
8832
8833
8834
8835
8836
8837
8838
8839
8840
8841
8842
8843
8844
8845
8846
8847
8848
8849
8850
8851
8852
8853
8854
8855
8856
8857
8858
8859
8860
8861
8862
8863
8864
8865
8866
8867
8868
8869
8870
8871
8872
8873
8874
8875
8876
8877
8878
8879
8880
8881
8882
8883
8884
8885
8886
8887
8888
8889
8890
8891
8892
8893
8894
8895
8896
8897
8898
8899
8900
8901
8902
8903
8904
8905
8906
8907
8908
8909
8910
8911
8912
8913
8914
8915
8916
8917
8918
8919
8920
8921
8922
8923
8924
8925
8926
8927
8928
8929
8930
8931
8932
8933
8934
8935
8936
8937
8938
8939
8940
8941
8942
8943
8944
8945
8946
8947
8948
8949
8950
8951
8952
8953
8954
8955
8956
8957
8958
8959
8960
8961
8962
8963
8964
8965
8966
8967
8968
8969
8970
8971
8972
8973
8974
8975
8976
8977
8978
8979
8980
8981
8982
8983
8984
8985
8986
8987
8988
8989
8990
8991
8992
8993
8994
8995
8996
8997
8998
8999
9000
9001
9002
9003
9004
9005
9006
9007
9008
9009
9010
9011
9012
9013
9014
9015
9016
9017
9018
9019
9020
9021
9022
9023
9024
9025
9026
9027
9028
9029
9030
9031
9032
9033
9034
9035
9036
9037
9038
9039
9040
9041
9042
9043
9044
9045
9046
9047
9048
9049
9050
9051
9052
9053
9054
9055
9056
9057
9058
9059
9060
9061
9062
9063
9064
9065
9066
9067
9068
9069
9070
9071
9072
9073
9074
9075
9076
9077
9078
9079
9080
9081
9082
9083
9084
9085
9086
9087
9088
9089
9090
9091
9092
9093
9094
9095
9096
9097
9098
9099
9100
9101
9102
9103
9104
9105
9106
9107
9108
9109
9110
9111
9112
9113
9114
9115
9116
9117
9118
9119
9120
9121
9122
9123
9124
9125
9126
9127
9128
9129
9130
9131
9132
9133
9134
9135
9136
9137
9138
9139
9140
9141
9142
9143
9144
9145
9146
9147
9148
9149
9150
9151
9152
9153
9154
9155
9156
9157
9158
9159
9160
9161
9162
9163
9164
9165
9166
9167
9168
9169
9170
9171
9172
9173
9174
9175
9176
9177
9178
9179
9180
9181
9182
9183
9184
9185
9186
9187
9188
9189
9190
9191
9192
9193
9194
9195
9196
9197
9198
9199
9200
9201
9202
9203
9204
9205
9206
9207
9208
9209
9210
9211
9212
9213
9214
9215
9216
9217
9218
9219
9220
9221
9222
9223
9224
9225
9226
9227
9228
9229
9230
9231
9232
9233
9234
9235
9236
9237
9238
9239
9240
9241
9242
9243
9244
9245
9246
9247
9248
9249
9250
9251
9252
9253
9254
9255
9256
9257
9258
9259
9260
9261
9262
9263
9264
9265
9266
9267
9268
9269
9270
9271
9272
9273
9274
9275
9276
9277
9278
9279
9280
9281
9282
9283
9284
9285
9286
9287
9288
9289
9290
9291
9292
9293
9294
9295
9296
9297
9298
9299
9300
9301
9302
9303
9304
9305
9306
9307
9308
9309
9310
9311
9312
9313
9314
9315
9316
9317
9318
9319
9320
9321
9322
9323
9324
9325
9326
9327
9328
9329
9330
9331
9332
9333
9334
9335
9336
9337
9338
9339
9340
9341
9342
9343
9344
9345
9346
9347
9348
9349
9350
9351
9352
9353
9354
9355
9356
9357
9358
9359
9360
9361
9362
9363
9364
9365
9366
9367
9368
9369
9370
9371
9372
9373
9374
9375
9376
9377
9378
9379
9380
9381
9382
9383
9384
9385
9386
9387
9388
9389
9390
9391
9392
9393
9394
9395
9396
9397
9398
9399
9400
9401
9402
9403
9404
9405
9406
9407
9408
9409
9410
9411
9412
9413
9414
9415
9416
9417
9418
9419
9420
9421
9422
9423
9424
9425
9426
9427
9428
9429
9430
9431
9432
9433
9434
9435
9436
9437
9438
9439
9440
9441
9442
9443
9444
9445
9446
9447
9448
9449
9450
9451
9452
9453
9454
9455
9456
9457
9458
9459
9460
9461
9462
9463
9464
9465
9466
9467
9468
9469
9470
9471
9472
9473
9474
9475
9476
9477
9478
9479
9480
9481
9482
9483
9484
9485
9486
9487
9488
9489
9490
9491
9492
9493
9494
9495
9496
9497
9498
9499
9500
9501
9502
9503
9504
9505
9506
9507
9508
9509
9510
9511
9512
9513
9514
9515
9516
9517
9518
9519
9520
9521
9522
9523
9524
9525
9526
9527
9528
9529
9530
9531
9532
9533
9534
9535
9536
9537
9538
9539
9540
9541
9542
9543
9544
9545
9546
9547
9548
9549
9550
9551
9552
9553
9554
9555
9556
9557
9558
9559
9560
9561
9562
9563
9564
9565
9566
9567
9568
9569
9570
9571
9572
9573
9574
9575
9576
9577
9578
9579
9580
9581
9582
9583
9584
9585
9586
9587
9588
9589
9590
9591
9592
9593
9594
9595
9596
9597
9598
9599
9600
9601
9602
9603
9604
9605
9606
9607
9608
9609
9610
9611
9612
9613
9614
9615
9616
9617
9618
9619
9620
9621
9622
9623
9624
9625
9626
9627
9628
9629
9630
9631
9632
9633
9634
9635
9636
9637
9638
9639
9640
9641
9642
9643
9644
9645
9646
9647
9648
9649
9650
9651
9652
9653
9654
9655
9656
9657
9658
9659
9660
9661
9662
9663
9664
9665
9666
9667
9668
9669
9670
9671
9672
9673
9674
9675
9676
9677
9678
9679
9680
9681
9682
9683
9684
9685
9686
9687
9688
9689
9690
9691
9692
9693
9694
9695
9696
9697
9698
9699
9700
9701
9702
9703
9704
9705
9706
9707
9708
9709
9710
9711
9712
9713
9714
9715
9716
9717
9718
9719
9720
9721
9722
9723
9724
9725
9726
9727
9728
9729
9730
9731
9732
9733
9734
9735
9736
9737
9738
9739
9740
9741
9742
9743
9744
9745
9746
9747
9748
9749
9750
9751
9752
9753
9754
9755
9756
9757
9758
9759
9760
9761
9762
9763
9764
9765
9766
9767
9768
9769
9770
9771
9772
9773
9774
9775
9776
9777
9778
9779
9780
9781
9782
9783
9784
9785
9786
9787
9788
9789
9790
9791
9792
9793
9794
9795
9796
9797
9798
9799
9800
9801
9802
9803
9804
9805
9806
9807
9808
9809
9810
9811
9812
9813
9814
9815
9816
9817
9818
9819
9820
9821
9822
9823
9824
9825
9826
9827
9828
9829
9830
9831
9832
9833
9834
9835
9836
9837
9838
9839
9840
9841
9842
9843
9844
9845
9846
9847
9848
9849
9850
9851
9852
9853
9854
9855
9856
9857
9858
9859
9860
9861
9862
9863
9864
9865
9866
9867
9868
9869
9870
9871
9872
9873
9874
9875
9876
9877
9878
9879
9880
9881
9882
9883
9884
9885
9886
9887
9888
9889
9890
9891
9892
9893
9894
9895
9896
9897
9898
9899
9900
9901
9902
9903
9904
9905
9906
9907
9908
9909
9910
9911
9912
9913
9914
9915
9916
9917
9918
9919
9920
9921
9922
9923
9924
9925
9926
9927
9928
9929
9930
9931
9932
9933
9934
9935
9936
9937
9938
9939
9940
9941
9942
9943
9944
9945
9946
9947
9948
9949
9950
9951
9952
9953
9954
9955
9956
9957
9958
9959
9960
9961
9962
9963
9964
9965
9966
9967
9968
9969
9970
9971
9972
9973
9974
9975
9976
9977
9978
9979
9980
9981
9982
9983
9984
9985
9986
9987
9988
9989
9990
9991
9992
9993
9994
9995
9996
9997
9998
9999
10000
10001
10002
10003
10004
10005
10006
10007
10008
10009
10010
10011
10012
10013
10014
10015
10016
10017
10018
10019
10020
10021
10022
10023
10024
10025
10026
10027
10028
10029
10030
10031
10032
10033
10034
10035
10036
10037
10038
10039
10040
10041
10042
10043
10044
10045
10046
10047
10048
10049
10050
10051
10052
10053
10054
10055
10056
10057
10058
10059
10060
10061
10062
10063
10064
10065
10066
10067
10068
10069
10070
10071
10072
10073
10074
10075
10076
10077
10078
10079
10080
10081
10082
10083
10084
10085
10086
10087
10088
10089
10090
10091
10092
10093
10094
10095
10096
10097
10098
10099
10100
10101
10102
10103
10104
10105
10106
10107
10108
10109
10110
10111
10112
10113
10114
10115
10116
10117
10118
10119
10120
10121
10122
10123
10124
10125
10126
10127
10128
10129
10130
10131
10132
10133
10134
10135
10136
10137
10138
10139
10140
10141
10142
10143
10144
10145
10146
10147
10148
10149
10150
10151
10152
10153
10154
10155
10156
10157
10158
10159
10160
10161
10162
10163
10164
10165
10166
10167
10168
10169
10170
10171
10172
10173
10174
10175
10176
10177
10178
10179
10180
10181
10182
10183
10184
10185
10186
10187
10188
10189
10190
10191
10192
10193
10194
10195
10196
10197
10198
10199
10200
10201
10202
10203
10204
10205
10206
10207
10208
10209
10210
10211
10212
10213
10214
10215
10216
10217
10218
10219
10220
10221
10222
10223
10224
10225
10226
10227
10228
10229
10230
10231
10232
10233
10234
10235
10236
10237
10238
10239
10240
10241
10242
10243
10244
10245
10246
10247
10248
10249
10250
10251
10252
10253
10254
10255
10256
10257
10258
10259
10260
10261
10262
10263
10264
10265
10266
10267
10268
10269
10270
10271
10272
10273
10274
10275
10276
10277
10278
10279
10280
10281
10282
10283
10284
10285
10286
10287
10288
10289
10290
10291
10292
10293
10294
10295
10296
10297
10298
10299
10300
10301
10302
10303
10304
10305
10306
10307
10308
10309
10310
10311
10312
10313
10314
10315
10316
10317
10318
10319
10320
10321
10322
10323
10324
10325
10326
10327
10328
10329
10330
10331
10332
10333
10334
10335
10336
10337
10338
10339
10340
10341
10342
10343
10344
10345
10346
10347
10348
10349
10350
10351
10352
10353
10354
10355
10356
10357
10358
10359
10360
10361
10362
10363
10364
10365
10366
10367
10368
10369
10370
10371
10372
10373
10374
10375
10376
10377
10378
10379
10380
10381
10382
10383
10384
10385
10386
10387
10388
10389
10390
10391
10392
10393
10394
10395
10396
10397
10398
10399
10400
10401
10402
10403
10404
10405
10406
10407
10408
10409
10410
10411
10412
10413
10414
10415
10416
10417
10418
10419
10420
10421
10422
10423
10424
10425
10426
10427
10428
10429
10430
10431
10432
10433
10434
10435
10436
10437
10438
10439
10440
10441
10442
10443
10444
10445
10446
10447
10448
10449
10450
10451
10452
10453
10454
10455
10456
10457
10458
10459
10460
10461
10462
10463
10464
10465
10466
10467
10468
10469
10470
10471
10472
10473
10474
10475
10476
10477
10478
10479
10480
10481
10482
10483
10484
10485
10486
10487
10488
10489
10490
10491
10492
10493
10494
10495
10496
10497
10498
10499
10500
10501
10502
10503
10504
10505
10506
10507
10508
10509
10510
10511
10512
10513
10514
10515
10516
10517
10518
10519
10520
10521
10522
10523
10524
10525
10526
10527
10528
10529
10530
10531
10532
10533
10534
10535
10536
10537
10538
10539
10540
10541
10542
10543
10544
10545
10546
10547
10548
10549
10550
10551
10552
10553
10554
10555
10556
10557
10558
10559
10560
10561
10562
10563
10564
10565
10566
10567
10568
10569
10570
10571
10572
10573
10574
10575
10576
10577
10578
10579
10580
10581
10582
10583
10584
10585
10586
10587
10588
10589
10590
10591
10592
10593
10594
10595
10596
10597
10598
10599
10600
10601
10602
10603
10604
10605
10606
10607
10608
10609
10610
10611
10612
10613
10614
10615
10616
10617
10618
10619
10620
10621
10622
10623
10624
10625
10626
10627
10628
10629
10630
10631
10632
10633
10634
10635
10636
10637
10638
10639
10640
10641
10642
10643
10644
10645
10646
10647
10648
10649
10650
10651
10652
10653
10654
10655
10656
10657
10658
10659
10660
10661
10662
10663
10664
10665
10666
10667
10668
10669
10670
10671
10672
10673
10674
10675
10676
10677
10678
10679
10680
10681
10682
10683
10684
10685
10686
10687
10688
10689
10690
10691
10692
10693
10694
10695
10696
10697
10698
10699
10700
10701
10702
10703
10704
10705
10706
10707
10708
10709
10710
10711
10712
10713
10714
10715
10716
10717
10718
10719
10720
10721
10722
10723
10724
10725
10726
10727
10728
10729
10730
10731
10732
10733
10734
10735
10736
10737
10738
10739
10740
10741
10742
10743
10744
10745
10746
10747
10748
10749
10750
10751
10752
10753
10754
10755
10756
10757
10758
10759
10760
10761
10762
10763
10764
10765
10766
10767
10768
10769
10770
10771
10772
10773
10774
10775
10776
10777
10778
10779
10780
10781
10782
10783
10784
10785
10786
10787
10788
10789
10790
10791
10792
10793
10794
10795
10796
10797
10798
10799
10800
10801
10802
10803
10804
10805
10806
10807
10808
10809
10810
10811
10812
10813
10814
10815
10816
10817
10818
10819
10820
10821
10822
10823
10824
10825
10826
10827
10828
10829
10830
10831
10832
10833
10834
10835
10836
10837
10838
10839
10840
10841
10842
10843
10844
10845
10846
10847
10848
10849
10850
10851
10852
10853
10854
10855
10856
10857
10858
10859
10860
10861
10862
10863
10864
10865
10866
10867
10868
10869
10870
10871
10872
10873
10874
10875
10876
10877
10878
10879
10880
10881
10882
10883
10884
10885
10886
10887
10888
10889
10890
10891
10892
10893
10894
10895
10896
10897
10898
10899
10900
10901
10902
10903
10904
10905
10906
10907
10908
10909
10910
10911
10912
10913
10914
10915
10916
10917
10918
10919
10920
10921
10922
10923
10924
10925
10926
10927
10928
10929
10930
10931
10932
10933
10934
10935
10936
10937
10938
10939
10940
10941
10942
10943
10944
10945
10946
10947
10948
10949
10950
10951
10952
10953
10954
10955
10956
10957
10958
10959
10960
10961
10962
10963
10964
10965
10966
10967
10968
10969
10970
10971
10972
10973
10974
10975
10976
10977
10978
10979
10980
10981
10982
10983
10984
10985
10986
10987
10988
10989
10990
10991
10992
10993
10994
10995
10996
10997
10998
10999
11000
11001
11002
11003
11004
11005
11006
11007
11008
11009
11010
11011
11012
11013
11014
11015
11016
11017
11018
11019
11020
11021
11022
11023
11024
11025
11026
11027
11028
11029
11030
11031
11032
11033
11034
11035
11036
11037
11038
11039
11040
11041
11042
11043
11044
11045
11046
11047
11048
11049
11050
11051
11052
11053
11054
11055
11056
11057
11058
11059
11060
11061
11062
11063
11064
11065
11066
11067
11068
11069
11070
11071
11072
11073
11074
11075
11076
11077
11078
11079
11080
11081
11082
11083
11084
11085
11086
11087
11088
11089
11090
11091
11092
11093
11094
11095
11096
11097
11098
11099
11100
11101
11102
11103
11104
11105
11106
11107
11108
11109
11110
11111
11112
11113
11114
11115
11116
11117
11118
11119
11120
11121
11122
11123
11124
11125
11126
11127
11128
11129
11130
11131
11132
11133
11134
11135
11136
11137
11138
11139
11140
11141
11142
11143
11144
11145
11146
11147
11148
11149
11150
11151
11152
11153
11154
11155
11156
11157
11158
11159
11160
11161
11162
11163
11164
11165
11166
11167
11168
11169
11170
11171
11172
11173
11174
11175
11176
11177
11178
11179
11180
11181
11182
11183
11184
11185
11186
11187
11188
11189
11190
11191
11192
11193
11194
11195
11196
11197
11198
11199
11200
11201
11202
11203
11204
11205
11206
11207
11208
11209
11210
11211
11212
11213
11214
11215
11216
11217
11218
11219
11220
11221
11222
11223
11224
11225
11226
11227
11228
11229
11230
11231
11232
11233
11234
11235
11236
11237
11238
11239
11240
11241
11242
11243
11244
11245
11246
11247
11248
11249
11250
11251
11252
11253
11254
11255
11256
11257
11258
11259
11260
11261
11262
11263
11264
11265
11266
11267
11268
11269
11270
11271
11272
11273
11274
11275
11276
11277
11278
11279
11280
11281
11282
11283
11284
11285
11286
11287
11288
11289
11290
11291
11292
11293
11294
11295
11296
11297
11298
11299
11300
11301
11302
11303
11304
11305
11306
11307
11308
11309
11310
11311
11312
11313
11314
11315
11316
11317
11318
11319
11320
11321
11322
11323
11324
11325
11326
11327
11328
11329
11330
11331
11332
11333
11334
11335
11336
11337
11338
11339
11340
11341
11342
11343
11344
11345
11346
11347
11348
11349
11350
11351
11352
11353
11354
11355
11356
11357
11358
11359
11360
11361
11362
11363
11364
11365
11366
11367
11368
11369
11370
11371
11372
11373
11374
11375
11376
11377
11378
11379
11380
11381
11382
11383
11384
11385
11386
11387
11388
11389
11390
11391
11392
11393
11394
11395
11396
11397
11398
11399
11400
11401
11402
11403
11404
11405
11406
11407
11408
11409
11410
11411
11412
11413
11414
11415
11416
11417
11418
11419
11420
11421
11422
11423
11424
11425
11426
11427
11428
11429
11430
11431
11432
11433
11434
11435
11436
11437
11438
11439
11440
11441
11442
11443
11444
11445
11446
11447
11448
11449
11450
11451
11452
11453
11454
11455
11456
11457
11458
11459
11460
11461
11462
11463
11464
11465
11466
11467
11468
11469
11470
11471
11472
11473
11474
11475
11476
11477
11478
11479
11480
11481
11482
11483
11484
11485
11486
11487
11488
11489
11490
11491
11492
11493
11494
11495
11496
11497
11498
11499
11500
11501
11502
11503
11504
11505
11506
11507
11508
11509
11510
11511
11512
11513
11514
11515
11516
11517
11518
11519
11520
11521
11522
11523
11524
11525
11526
11527
11528
11529
11530
11531
11532
11533
11534
11535
11536
11537
11538
11539
11540
11541
11542
11543
11544
11545
11546
11547
11548
11549
11550
11551
11552
11553
11554
11555
11556
11557
11558
11559
11560
11561
11562
11563
11564
11565
11566
11567
11568
11569
11570
11571
11572
11573
11574
11575
11576
11577
11578
11579
11580
11581
11582
11583
11584
11585
11586
11587
11588
11589
11590
11591
11592
11593
11594
11595
11596
11597
11598
11599
11600
11601
11602
11603
11604
11605
11606
11607
11608
11609
11610
11611
11612
11613
11614
11615
11616
11617
11618
11619
11620
11621
11622
11623
11624
11625
11626
11627
11628
11629
11630
11631
11632
11633
11634
11635
11636
11637
11638
11639
11640
11641
11642
11643
11644
11645
11646
11647
11648
11649
11650
11651
11652
11653
11654
11655
11656
11657
11658
11659
11660
11661
11662
11663
11664
11665
11666
11667
11668
11669
11670
11671
11672
11673
11674
11675
11676
11677
11678
11679
11680
11681
11682
11683
11684
11685
11686
11687
11688
11689
11690
11691
11692
11693
11694
11695
11696
11697
11698
11699
11700
11701
11702
11703
11704
11705
11706
11707
11708
11709
11710
11711
11712
11713
11714
11715
11716
11717
11718
11719
11720
11721
11722
11723
11724
11725
11726
11727
11728
11729
11730
11731
11732
11733
11734
11735
11736
11737
11738
11739
11740
11741
11742
11743
11744
11745
11746
11747
11748
11749
11750
11751
11752
11753
11754
11755
11756
11757
11758
11759
11760
11761
11762
11763
11764
11765
11766
11767
11768
11769
11770
11771
11772
11773
11774
11775
11776
11777
11778
11779
11780
11781
11782
11783
11784
11785
11786
11787
11788
11789
11790
11791
11792
11793
11794
11795
11796
11797
11798
11799
11800
11801
11802
11803
11804
11805
11806
11807
11808
11809
11810
11811
11812
11813
11814
11815
11816
11817
11818
11819
11820
11821
11822
11823
11824
11825
11826
11827
11828
11829
11830
11831
11832
11833
11834
11835
11836
11837
11838
11839
11840
11841
11842
11843
11844
11845
11846
11847
11848
11849
11850
11851
11852
11853
11854
11855
11856
11857
11858
11859
11860
11861
11862
11863
11864
11865
11866
11867
11868
11869
11870
11871
11872
11873
11874
11875
11876
11877
11878
11879
11880
11881
11882
11883
11884
11885
11886
11887
11888
11889
11890
11891
11892
11893
11894
11895
11896
11897
11898
11899
11900
11901
11902
11903
11904
11905
11906
11907
11908
11909
11910
11911
11912
11913
11914
11915
11916
11917
11918
11919
11920
11921
11922
11923
11924
11925
11926
11927
11928
11929
11930
11931
11932
11933
11934
11935
11936
11937
11938
11939
11940
11941
11942
11943
11944
11945
11946
11947
11948
11949
11950
11951
11952
11953
11954
11955
11956
11957
11958
11959
11960
11961
11962
11963
11964
11965
11966
11967
11968
11969
11970
11971
11972
11973
11974
11975
11976
11977
11978
11979
11980
11981
11982
11983
11984
11985
11986
11987
11988
11989
11990
11991
11992
11993
11994
11995
11996
11997
11998
11999
12000
12001
12002
12003
12004
12005
12006
12007
12008
12009
12010
12011
12012
12013
12014
12015
12016
12017
12018
12019
12020
12021
12022
12023
12024
12025
12026
12027
12028
12029
12030
12031
12032
12033
12034
12035
12036
12037
12038
12039
12040
12041
12042
12043
12044
12045
12046
12047
12048
12049
12050
12051
12052
12053
12054
12055
12056
12057
12058
12059
12060
12061
12062
12063
12064
12065
12066
12067
12068
12069
12070
12071
12072
12073
12074
12075
12076
12077
12078
12079
12080
12081
12082
12083
12084
12085
12086
12087
12088
12089
12090
12091
12092
12093
12094
12095
12096
12097
12098
12099
12100
12101
12102
12103
12104
12105
12106
12107
12108
12109
12110
12111
12112
12113
12114
12115
12116
12117
12118
12119
12120
12121
12122
12123
12124
12125
12126
12127
12128
12129
12130
12131
12132
12133
12134
12135
12136
12137
12138
12139
12140
12141
12142
12143
12144
12145
12146
12147
12148
12149
12150
12151
12152
12153
12154
12155
12156
12157
12158
12159
12160
12161
12162
12163
12164
12165
12166
12167
12168
12169
12170
12171
12172
12173
12174
12175
12176
12177
12178
12179
12180
12181
12182
12183
12184
12185
12186
12187
12188
12189
12190
12191
12192
12193
12194
12195
12196
12197
12198
12199
12200
12201
12202
12203
12204
12205
12206
12207
12208
12209
12210
12211
12212
12213
12214
12215
12216
12217
12218
12219
12220
12221
12222
12223
12224
12225
12226
12227
12228
12229
12230
12231
12232
12233
12234
12235
12236
12237
12238
12239
12240
12241
12242
12243
12244
12245
12246
12247
12248
12249
12250
12251
12252
12253
12254
12255
12256
12257
12258
12259
12260
12261
12262
12263
12264
12265
12266
12267
12268
12269
12270
12271
12272
12273
12274
12275
12276
12277
12278
12279
12280
12281
12282
12283
12284
12285
12286
12287
12288
12289
12290
12291
12292
12293
12294
12295
12296
12297
12298
12299
12300
12301
12302
12303
12304
12305
12306
12307
12308
12309
12310
12311
12312
12313
12314
12315
12316
12317
12318
12319
12320
12321
12322
12323
12324
12325
12326
12327
12328
12329
12330
12331
12332
12333
12334
12335
12336
12337
12338
12339
12340
12341
12342
12343
12344
12345
12346
12347
12348
12349
12350
12351
12352
12353
12354
12355
12356
12357
12358
12359
12360
12361
12362
12363
12364
12365
12366
12367
12368
12369
12370
12371
12372
12373
12374
12375
12376
12377
12378
12379
12380
12381
12382
12383
12384
12385
12386
12387
12388
12389
12390
12391
12392
12393
12394
12395
12396
12397
12398
12399
12400
12401
12402
12403
12404
12405
12406
12407
12408
12409
12410
12411
12412
12413
12414
12415
12416
12417
12418
12419
12420
12421
12422
12423
12424
12425
12426
12427
12428
12429
12430
12431
12432
12433
12434
12435
12436
12437
12438
12439
12440
12441
12442
12443
12444
12445
12446
12447
12448
12449
12450
12451
12452
12453
12454
12455
12456
12457
12458
12459
12460
12461
12462
12463
12464
12465
12466
12467
12468
12469
12470
12471
12472
12473
12474
12475
12476
12477
12478
12479
12480
12481
12482
12483
12484
12485
12486
12487
12488
12489
12490
12491
12492
12493
12494
12495
12496
12497
12498
12499
12500
12501
12502
12503
12504
12505
12506
12507
12508
12509
12510
12511
12512
12513
12514
12515
12516
12517
12518
12519
12520
12521
12522
12523
12524
12525
12526
12527
12528
12529
12530
12531
12532
12533
12534
12535
12536
12537
12538
12539
12540
12541
12542
12543
12544
12545
12546
12547
12548
12549
12550
12551
12552
12553
12554
12555
12556
12557
12558
12559
12560
12561
12562
12563
12564
12565
12566
12567
12568
12569
12570
12571
12572
12573
12574
12575
12576
12577
12578
12579
12580
12581
12582
12583
12584
12585
12586
12587
12588
12589
12590
12591
12592
12593
12594
12595
12596
12597
12598
12599
12600
12601
12602
12603
12604
12605
12606
12607
12608
12609
12610
12611
12612
12613
12614
12615
12616
12617
12618
12619
12620
12621
12622
12623
12624
12625
12626
12627
12628
12629
12630
12631
12632
12633
12634
12635
12636
12637
12638
12639
12640
12641
12642
12643
12644
12645
12646
12647
12648
12649
12650
12651
12652
12653
12654
12655
12656
12657
12658
12659
12660
12661
12662
12663
12664
12665
12666
12667
12668
12669
12670
12671
12672
12673
12674
12675
12676
12677
12678
12679
12680
12681
12682
12683
12684
12685
12686
12687
12688
12689
12690
12691
12692
12693
12694
12695
12696
12697
12698
12699
12700
12701
12702
12703
12704
12705
12706
12707
12708
12709
12710
12711
12712
12713
12714
12715
12716
12717
12718
12719
12720
12721
12722
12723
12724
12725
12726
12727
12728
12729
12730
12731
12732
12733
12734
12735
12736
12737
12738
12739
12740
12741
12742
12743
12744
12745
12746
12747
12748
12749
12750
12751
12752
12753
12754
12755
12756
12757
12758
12759
12760
12761
12762
12763
12764
12765
12766
12767
12768
12769
12770
12771
12772
12773
12774
12775
12776
12777
12778
12779
12780
12781
12782
12783
12784
12785
12786
12787
12788
12789
12790
12791
12792
12793
12794
12795
12796
12797
12798
12799
12800
12801
12802
12803
12804
12805
12806
12807
12808
12809
12810
12811
12812
12813
12814
12815
12816
12817
12818
12819
12820
12821
12822
12823
12824
12825
12826
12827
12828
12829
12830
12831
12832
12833
12834
12835
12836
12837
12838
12839
12840
12841
12842
12843
12844
12845
12846
12847
12848
12849
12850
12851
12852
12853
12854
12855
12856
12857
12858
12859
12860
12861
12862
12863
12864
12865
12866
12867
12868
12869
12870
12871
12872
12873
12874
12875
12876
12877
12878
12879
12880
12881
12882
12883
12884
12885
12886
12887
12888
12889
12890
12891
12892
12893
12894
12895
12896
12897
12898
12899
12900
12901
12902
12903
12904
12905
12906
12907
12908
12909
12910
12911
12912
12913
12914
12915
12916
12917
12918
12919
12920
12921
12922
12923
12924
12925
12926
12927
12928
12929
12930
12931
12932
12933
12934
12935
12936
12937
12938
12939
12940
12941
12942
12943
12944
12945
12946
12947
12948
12949
12950
12951
12952
12953
12954
12955
12956
12957
12958
12959
12960
12961
12962
12963
12964
12965
12966
12967
12968
12969
12970
12971
12972
12973
12974
12975
12976
12977
12978
12979
12980
12981
12982
12983
12984
12985
12986
12987
12988
12989
12990
12991
12992
12993
12994
12995
12996
12997
12998
12999
13000
13001
13002
13003
13004
13005
13006
13007
13008
13009
13010
13011
13012
13013
13014
13015
13016
13017
13018
13019
13020
13021
13022
13023
13024
13025
13026
13027
13028
13029
13030
13031
13032
13033
13034
13035
13036
13037
13038
13039
13040
13041
13042
13043
13044
13045
13046
13047
13048
13049
13050
13051
13052
13053
13054
13055
13056
13057
13058
13059
13060
13061
13062
13063
13064
13065
13066
13067
13068
13069
13070
13071
13072
13073
13074
13075
13076
13077
13078
13079
13080
13081
13082
13083
13084
13085
13086
13087
13088
13089
13090
13091
13092
13093
13094
13095
13096
13097
13098
13099
13100
13101
13102
13103
13104
13105
13106
13107
13108
13109
13110
13111
13112
13113
13114
13115
13116
13117
13118
13119
13120
13121
13122
13123
13124
13125
13126
13127
13128
13129
13130
13131
13132
13133
13134
13135
13136
13137
13138
13139
13140
13141
13142
13143
13144
13145
13146
13147
13148
13149
13150
13151
13152
13153
13154
13155
13156
13157
13158
13159
13160
13161
13162
13163
13164
13165
13166
13167
13168
13169
13170
13171
13172
13173
13174
13175
13176
13177
13178
13179
13180
13181
13182
13183
13184
13185
13186
13187
13188
13189
13190
13191
13192
13193
13194
13195
13196
13197
13198
13199
13200
13201
13202
13203
13204
13205
13206
13207
13208
13209
13210
13211
13212
13213
13214
13215
13216
13217
13218
13219
13220
13221
13222
13223
13224
13225
13226
13227
13228
13229
13230
13231
13232
13233
13234
13235
13236
13237
13238
13239
13240
13241
13242
13243
13244
13245
13246
13247
13248
13249
13250
13251
13252
13253
13254
13255
13256
13257
13258
13259
13260
13261
13262
13263
13264
13265
13266
13267
13268
13269
13270
13271
13272
13273
13274
13275
13276
13277
13278
13279
13280
13281
13282
13283
13284
13285
13286
13287
13288
13289
13290
13291
13292
13293
13294
13295
13296
13297
13298
13299
13300
13301
13302
13303
13304
13305
13306
13307
13308
13309
13310
13311
13312
13313
13314
13315
13316
13317
13318
13319
13320
13321
13322
13323
13324
13325
13326
13327
13328
13329
13330
13331
13332
13333
13334
13335
13336
13337
13338
13339
13340
13341
13342
13343
13344
13345
13346
13347
13348
13349
13350
13351
13352
13353
13354
13355
13356
13357
13358
13359
13360
13361
13362
13363
13364
13365
13366
13367
13368
13369
13370
13371
13372
13373
13374
13375
13376
13377
13378
13379
13380
13381
13382
13383
13384
13385
13386
13387
13388
13389
13390
13391
13392
13393
13394
13395
13396
13397
13398
13399
13400
13401
13402
13403
13404
13405
13406
13407
13408
13409
13410
13411
13412
13413
13414
13415
13416
13417
13418
13419
13420
13421
13422
13423
13424
13425
13426
13427
13428
13429
13430
13431
13432
13433
13434
13435
13436
13437
13438
13439
13440
13441
13442
13443
13444
13445
13446
13447
13448
13449
13450
13451
13452
13453
13454
13455
13456
13457
13458
13459
13460
13461
13462
13463
13464
13465
13466
13467
13468
13469
13470
13471
13472
13473
13474
13475
13476
13477
13478
13479
13480
13481
13482
13483
13484
13485
13486
13487
13488
13489
13490
13491
13492
13493
13494
13495
13496
13497
13498
13499
13500
13501
13502
13503
13504
13505
13506
13507
13508
13509
13510
13511
13512
13513
13514
13515
13516
13517
13518
13519
13520
13521
13522
13523
13524
13525
13526
13527
13528
13529
13530
13531
13532
13533
13534
13535
13536
13537
13538
13539
13540
13541
13542
13543
13544
13545
13546
13547
13548
13549
13550
13551
13552
13553
13554
13555
13556
13557
13558
13559
13560
13561
13562
13563
13564
13565
13566
13567
13568
13569
13570
13571
13572
13573
13574
13575
13576
13577
13578
13579
13580
13581
13582
13583
13584
13585
13586
13587
13588
13589
13590
13591
13592
13593
13594
13595
13596
13597
13598
13599
13600
13601
13602
13603
13604
13605
13606
13607
13608
13609
13610
13611
13612
13613
13614
13615
13616
13617
13618
13619
13620
13621
13622
13623
13624
13625
13626
13627
13628
13629
13630
13631
13632
13633
13634
13635
13636
13637
13638
13639
13640
13641
13642
13643
13644
13645
13646
13647
13648
13649
13650
13651
13652
13653
13654
13655
13656
13657
13658
13659
13660
13661
13662
13663
13664
13665
13666
13667
13668
13669
13670
13671
13672
13673
13674
13675
13676
13677
13678
13679
13680
13681
13682
13683
13684
13685
13686
13687
13688
13689
13690
13691
13692
13693
13694
13695
13696
13697
13698
13699
13700
13701
13702
13703
13704
13705
13706
13707
13708
13709
13710
13711
13712
13713
13714
13715
13716
13717
13718
13719
13720
13721
13722
13723
13724
13725
13726
13727
13728
13729
13730
13731
13732
13733
13734
13735
13736
13737
13738
13739
13740
13741
13742
13743
13744
13745
13746
13747
13748
13749
13750
13751
13752
13753
13754
13755
13756
13757
13758
13759
13760
13761
13762
13763
13764
13765
13766
13767
13768
13769
13770
13771
13772
13773
13774
13775
13776
13777
13778
13779
13780
13781
13782
13783
13784
13785
13786
13787
13788
13789
13790
13791
13792
13793
13794
13795
13796
13797
13798
13799
13800
13801
13802
13803
13804
13805
13806
13807
13808
13809
13810
13811
13812
13813
13814
13815
13816
13817
13818
13819
13820
13821
13822
13823
13824
13825
13826
13827
13828
13829
13830
13831
13832
13833
13834
13835
13836
13837
13838
13839
13840
13841
13842
13843
13844
13845
13846
13847
13848
13849
13850
13851
13852
13853
13854
13855
13856
13857
13858
13859
13860
13861
13862
13863
13864
13865
13866
13867
13868
13869
13870
13871
13872
13873
13874
13875
13876
13877
13878
13879
13880
13881
13882
13883
13884
13885
13886
13887
13888
13889
13890
13891
13892
13893
13894
13895
13896
13897
13898
13899
13900
13901
13902
13903
13904
13905
13906
13907
13908
13909
13910
13911
13912
13913
13914
13915
13916
13917
13918
13919
13920
13921
13922
13923
13924
13925
13926
13927
13928
13929
13930
13931
13932
13933
13934
13935
13936
13937
13938
13939
13940
13941
13942
13943
13944
13945
13946
13947
13948
13949
13950
13951
13952
13953
13954
13955
13956
13957
13958
13959
13960
13961
13962
13963
13964
13965
13966
13967
13968
13969
13970
13971
13972
13973
13974
13975
13976
13977
13978
13979
13980
13981
13982
13983
13984
13985
13986
13987
13988
13989
13990
13991
13992
13993
13994
13995
13996
13997
13998
13999
14000
14001
14002
14003
14004
14005
14006
14007
14008
14009
14010
14011
14012
14013
14014
14015
14016
14017
14018
14019
14020
14021
14022
14023
14024
14025
14026
14027
14028
14029
14030
14031
14032
14033
14034
14035
14036
14037
14038
14039
14040
14041
14042
14043
14044
14045
14046
14047
14048
14049
14050
14051
14052
14053
14054
14055
14056
14057
14058
14059
14060
14061
14062
14063
14064
14065
14066
14067
14068
14069
14070
14071
14072
14073
14074
14075
14076
14077
14078
14079
14080
14081
14082
14083
14084
14085
14086
14087
14088
14089
14090
14091
14092
14093
14094
14095
14096
14097
14098
14099
14100
14101
14102
14103
14104
14105
14106
14107
14108
14109
14110
14111
14112
14113
14114
14115
14116
14117
14118
14119
14120
14121
14122
14123
14124
14125
14126
14127
14128
14129
14130
14131
14132
14133
14134
14135
14136
14137
14138
14139
14140
14141
14142
14143
14144
14145
14146
14147
14148
14149
14150
14151
14152
14153
14154
14155
14156
14157
14158
14159
14160
14161
14162
14163
14164
14165
14166
14167
14168
14169
14170
14171
14172
14173
14174
14175
14176
14177
14178
14179
14180
14181
14182
14183
14184
14185
14186
14187
14188
14189
14190
14191
14192
14193
14194
14195
14196
14197
14198
14199
14200
14201
14202
14203
14204
14205
14206
14207
14208
14209
14210
14211
14212
14213
14214
14215
14216
14217
14218
14219
14220
14221
14222
14223
14224
14225
14226
14227
14228
14229
14230
14231
14232
14233
14234
14235
14236
14237
14238
14239
14240
14241
14242
14243
14244
14245
14246
14247
14248
14249
14250
14251
14252
14253
14254
14255
14256
14257
14258
14259
14260
14261
14262
14263
14264
14265
14266
14267
14268
14269
14270
14271
14272
14273
14274
14275
14276
14277
14278
14279
14280
14281
14282
14283
14284
14285
14286
14287
14288
14289
14290
14291
14292
14293
14294
14295
14296
14297
14298
14299
14300
14301
14302
14303
14304
14305
14306
14307
14308
14309
14310
14311
14312
14313
14314
14315
14316
14317
14318
14319
14320
14321
14322
14323
14324
14325
14326
14327
14328
14329
14330
14331
14332
14333
14334
14335
14336
14337
14338
14339
14340
14341
14342
14343
14344
14345
14346
14347
14348
14349
14350
14351
14352
14353
14354
14355
14356
14357
14358
14359
14360
14361
14362
14363
14364
14365
14366
14367
14368
14369
14370
14371
14372
14373
14374
14375
14376
14377
14378
14379
14380
14381
14382
14383
14384
14385
14386
14387
14388
14389
14390
14391
14392
14393
14394
14395
14396
14397
14398
14399
14400
14401
14402
14403
14404
14405
14406
14407
14408
14409
14410
14411
14412
14413
14414
14415
14416
14417
14418
14419
14420
14421
14422
14423
14424
14425
14426
14427
14428
14429
14430
14431
14432
14433
14434
14435
14436
14437
14438
14439
14440
14441
14442
14443
14444
14445
14446
14447
14448
14449
14450
14451
14452
14453
14454
14455
14456
14457
14458
14459
14460
14461
14462
14463
14464
14465
14466
14467
14468
14469
14470
14471
14472
14473
14474
14475
14476
14477
14478
14479
14480
14481
14482
14483
14484
14485
14486
14487
14488
14489
14490
14491
14492
14493
14494
14495
14496
14497
14498
14499
14500
14501
14502
14503
14504
14505
14506
14507
14508
14509
14510
14511
14512
14513
14514
14515
14516
14517
14518
14519
14520
14521
14522
14523
14524
14525
14526
14527
14528
14529
14530
14531
14532
14533
14534
14535
14536
14537
14538
14539
14540
14541
14542
14543
14544
14545
14546
14547
14548
14549
14550
14551
14552
14553
14554
14555
14556
14557
14558
14559
14560
14561
14562
14563
14564
14565
14566
14567
14568
14569
14570
14571
14572
14573
14574
14575
14576
14577
14578
14579
14580
14581
14582
14583
14584
14585
14586
14587
14588
14589
14590
14591
14592
14593
14594
14595
14596
14597
14598
14599
14600
14601
14602
14603
14604
14605
14606
14607
14608
14609
14610
14611
14612
14613
14614
14615
14616
14617
14618
14619
14620
14621
14622
14623
14624
14625
14626
14627
14628
14629
14630
14631
14632
14633
14634
14635
14636
14637
14638
14639
14640
14641
14642
14643
14644
14645
14646
14647
14648
14649
14650
14651
14652
14653
14654
14655
14656
14657
14658
14659
14660
14661
14662
14663
14664
14665
14666
14667
14668
14669
14670
14671
14672
14673
14674
14675
14676
14677
14678
14679
14680
14681
14682
14683
14684
14685
14686
14687
14688
14689
14690
14691
14692
14693
14694
14695
14696
14697
14698
14699
14700
14701
14702
14703
14704
14705
14706
14707
14708
14709
14710
14711
14712
14713
14714
14715
14716
14717
14718
14719
14720
14721
14722
14723
14724
14725
14726
14727
14728
14729
14730
14731
14732
14733
14734
14735
14736
14737
14738
14739
14740
14741
14742
14743
14744
14745
14746
14747
14748
14749
14750
14751
14752
14753
14754
14755
14756
14757
14758
14759
14760
14761
14762
14763
14764
14765
14766
14767
14768
14769
14770
14771
14772
14773
14774
14775
14776
14777
14778
14779
14780
14781
14782
14783
14784
14785
14786
14787
14788
14789
14790
14791
14792
14793
14794
14795
14796
14797
14798
14799
14800
14801
14802
14803
14804
14805
14806
14807
14808
14809
14810
14811
14812
14813
14814
14815
14816
14817
14818
14819
14820
14821
14822
14823
14824
14825
14826
14827
14828
14829
14830
14831
14832
14833
14834
14835
14836
14837
14838
14839
14840
14841
14842
14843
14844
14845
14846
14847
14848
14849
14850
14851
14852
14853
14854
14855
14856
14857
14858
14859
14860
14861
14862
14863
14864
14865
14866
14867
14868
14869
14870
14871
14872
14873
14874
14875
14876
14877
14878
14879
14880
14881
14882
14883
14884
14885
14886
14887
14888
14889
14890
14891
14892
14893
14894
14895
14896
14897
14898
14899
14900
14901
14902
14903
14904
14905
14906
14907
14908
14909
14910
14911
14912
14913
14914
14915
14916
14917
14918
14919
14920
14921
14922
14923
14924
14925
14926
14927
14928
14929
14930
14931
14932
14933
14934
14935
14936
14937
14938
14939
14940
14941
14942
14943
14944
14945
14946
14947
14948
14949
14950
14951
14952
14953
14954
14955
14956
14957
14958
14959
14960
14961
14962
14963
14964
14965
14966
14967
14968
14969
14970
14971
14972
14973
14974
14975
14976
14977
14978
14979
14980
14981
14982
14983
14984
14985
14986
14987
14988
14989
14990
14991
14992
14993
14994
14995
14996
14997
14998
14999
15000
15001
15002
15003
15004
15005
15006
15007
15008
15009
15010
15011
15012
15013
15014
15015
15016
15017
15018
15019
15020
15021
15022
15023
15024
15025
15026
15027
15028
15029
15030
15031
15032
15033
15034
15035
15036
15037
15038
15039
15040
15041
15042
15043
15044
15045
15046
15047
15048
15049
15050
15051
15052
15053
15054
15055
15056
15057
15058
15059
15060
15061
15062
15063
15064
15065
15066
15067
15068
15069
15070
15071
15072
15073
15074
15075
15076
15077
15078
15079
15080
15081
15082
15083
15084
15085
15086
15087
15088
15089
15090
15091
15092
15093
15094
15095
15096
15097
15098
15099
15100
15101
15102
15103
15104
15105
15106
15107
15108
15109
15110
15111
15112
15113
15114
15115
15116
15117
15118
15119
15120
15121
15122
15123
15124
15125
15126
15127
15128
15129
15130
15131
15132
15133
15134
15135
15136
15137
15138
15139
15140
15141
15142
15143
15144
15145
15146
15147
15148
15149
15150
15151
15152
15153
15154
15155
15156
15157
15158
15159
15160
15161
15162
15163
15164
15165
15166
15167
15168
15169
15170
15171
15172
15173
15174
15175
15176
15177
15178
15179
15180
15181
15182
15183
15184
15185
15186
15187
15188
15189
15190
15191
15192
15193
15194
15195
15196
15197
15198
15199
15200
15201
15202
15203
15204
15205
15206
15207
15208
15209
15210
15211
15212
15213
15214
15215
15216
15217
15218
15219
15220
15221
15222
15223
15224
15225
15226
15227
15228
15229
15230
15231
15232
15233
15234
15235
15236
15237
15238
15239
15240
15241
15242
15243
15244
15245
15246
15247
15248
15249
15250
15251
15252
15253
15254
15255
15256
15257
15258
15259
15260
15261
15262
15263
15264
15265
15266
15267
15268
15269
15270
15271
15272
15273
15274
15275
15276
15277
15278
15279
15280
15281
15282
15283
15284
15285
15286
15287
15288
15289
15290
15291
15292
15293
15294
15295
15296
15297
15298
15299
15300
15301
15302
15303
15304
15305
15306
15307
15308
15309
15310
15311
15312
15313
15314
15315
15316
15317
15318
15319
15320
15321
15322
15323
15324
15325
15326
15327
15328
15329
15330
15331
15332
15333
15334
15335
15336
15337
15338
15339
15340
15341
15342
15343
15344
15345
15346
15347
15348
15349
15350
15351
15352
15353
15354
15355
15356
15357
15358
15359
15360
15361
15362
15363
15364
15365
15366
15367
15368
15369
15370
15371
15372
15373
15374
15375
15376
15377
15378
15379
15380
15381
15382
15383
15384
15385
15386
15387
15388
15389
15390
15391
15392
15393
15394
15395
15396
15397
15398
15399
15400
15401
15402
15403
15404
15405
15406
15407
15408
15409
15410
15411
15412
15413
15414
15415
15416
15417
15418
15419
15420
15421
15422
15423
15424
15425
15426
15427
15428
15429
15430
15431
15432
15433
15434
15435
15436
15437
15438
15439
15440
15441
15442
15443
15444
15445
15446
15447
15448
15449
15450
15451
15452
15453
15454
15455
15456
15457
15458
15459
15460
15461
15462
15463
15464
15465
15466
15467
15468
15469
15470
15471
15472
15473
15474
15475
15476
15477
15478
15479
15480
15481
15482
15483
15484
15485
15486
15487
15488
15489
15490
15491
15492
15493
15494
15495
15496
15497
15498
15499
15500
15501
15502
15503
15504
15505
15506
15507
15508
15509
15510
15511
15512
15513
15514
15515
15516
15517
15518
15519
15520
15521
15522
15523
15524
15525
15526
15527
15528
15529
15530
15531
15532
15533
15534
15535
15536
15537
15538
15539
15540
15541
15542
15543
15544
15545
15546
15547
15548
15549
15550
15551
15552
15553
15554
15555
15556
15557
15558
15559
15560
15561
15562
15563
15564
15565
15566
15567
15568
15569
15570
15571
15572
15573
15574
15575
15576
15577
15578
15579
15580
15581
15582
15583
15584
15585
15586
15587
15588
15589
15590
15591
15592
15593
15594
15595
15596
15597
15598
15599
15600
15601
15602
15603
15604
15605
15606
15607
15608
15609
15610
15611
15612
15613
15614
15615
15616
15617
15618
15619
15620
15621
15622
15623
15624
15625
15626
15627
15628
15629
15630
15631
15632
15633
15634
15635
15636
15637
15638
15639
15640
15641
15642
15643
15644
15645
15646
15647
15648
15649
15650
15651
15652
15653
15654
15655
15656
15657
15658
15659
15660
15661
15662
15663
15664
15665
15666
15667
15668
15669
15670
15671
15672
15673
15674
15675
15676
15677
15678
15679
15680
15681
15682
15683
15684
15685
15686
15687
15688
15689
15690
15691
15692
15693
15694
15695
15696
15697
15698
15699
15700
15701
15702
15703
15704
15705
15706
15707
15708
15709
15710
15711
15712
15713
15714
15715
15716
15717
15718
15719
15720
15721
15722
15723
15724
15725
15726
15727
15728
15729
15730
15731
15732
15733
15734
15735
15736
15737
15738
15739
15740
15741
15742
15743
15744
15745
15746
15747
15748
15749
15750
15751
15752
15753
15754
15755
15756
15757
15758
15759
15760
15761
15762
15763
15764
15765
15766
15767
15768
15769
15770
15771
15772
15773
15774
15775
15776
15777
15778
15779
15780
15781
15782
15783
15784
15785
15786
15787
15788
15789
15790
15791
15792
15793
15794
15795
15796
15797
15798
15799
15800
15801
15802
15803
15804
15805
15806
15807
15808
15809
15810
15811
15812
15813
15814
15815
15816
15817
15818
15819
15820
15821
15822
15823
15824
15825
15826
15827
15828
15829
15830
15831
15832
15833
15834
15835
15836
15837
15838
15839
15840
15841
15842
15843
15844
15845
15846
15847
15848
15849
15850
15851
15852
15853
15854
15855
15856
15857
15858
15859
15860
15861
15862
15863
15864
15865
15866
15867
15868
15869
15870
15871
15872
15873
15874
15875
15876
15877
15878
15879
15880
15881
15882
15883
15884
15885
15886
15887
15888
15889
15890
15891
15892
15893
15894
15895
15896
15897
15898
15899
15900
15901
15902
15903
15904
15905
15906
15907
15908
15909
15910
15911
15912
15913
15914
15915
15916
15917
15918
15919
15920
15921
15922
15923
15924
15925
15926
15927
15928
15929
15930
15931
15932
15933
15934
15935
15936
15937
15938
15939
15940
15941
15942
15943
15944
15945
15946
15947
15948
15949
15950
15951
15952
15953
15954
15955
15956
15957
15958
15959
15960
15961
15962
15963
15964
15965
15966
15967
15968
15969
15970
15971
15972
15973
15974
15975
15976
15977
15978
15979
15980
15981
15982
15983
15984
15985
15986
15987
15988
15989
15990
15991
15992
15993
15994
15995
15996
15997
15998
15999
16000
16001
16002
16003
16004
16005
16006
16007
16008
16009
16010
16011
16012
16013
16014
16015
16016
16017
16018
16019
16020
16021
16022
16023
16024
16025
16026
16027
16028
16029
16030
16031
16032
16033
16034
16035
16036
16037
16038
16039
16040
16041
16042
16043
16044
16045
16046
16047
16048
16049
16050
16051
16052
16053
16054
16055
16056
16057
16058
16059
16060
16061
16062
16063
16064
16065
16066
16067
16068
16069
16070
16071
16072
16073
16074
16075
16076
16077
16078
16079
16080
16081
16082
16083
16084
16085
16086
16087
16088
16089
16090
16091
16092
16093
16094
16095
16096
16097
16098
16099
16100
16101
16102
16103
16104
16105
16106
16107
16108
16109
16110
16111
16112
16113
16114
16115
16116
16117
16118
16119
16120
16121
16122
16123
16124
16125
16126
16127
16128
16129
16130
16131
16132
16133
16134
16135
16136
16137
16138
16139
16140
16141
16142
16143
16144
16145
16146
16147
16148
16149
16150
16151
16152
16153
16154
16155
16156
16157
16158
16159
16160
16161
16162
16163
16164
16165
16166
16167
16168
16169
16170
16171
16172
16173
16174
16175
16176
16177
16178
16179
16180
16181
16182
16183
16184
16185
16186
16187
16188
16189
16190
16191
16192
16193
16194
16195
16196
16197
16198
16199
16200
16201
16202
16203
16204
16205
16206
16207
16208
16209
16210
16211
16212
16213
16214
16215
16216
16217
16218
16219
16220
16221
16222
16223
16224
16225
16226
16227
16228
16229
16230
16231
16232
16233
16234
16235
16236
16237
16238
16239
16240
16241
16242
16243
16244
16245
16246
16247
16248
16249
16250
16251
16252
16253
16254
16255
16256
16257
16258
16259
16260
16261
16262
16263
16264
16265
16266
16267
16268
16269
16270
16271
16272
16273
16274
16275
16276
16277
16278
16279
16280
16281
16282
16283
16284
16285
16286
16287
16288
16289
16290
16291
16292
16293
16294
16295
16296
16297
16298
16299
16300
16301
16302
16303
16304
16305
16306
16307
16308
16309
16310
16311
16312
16313
16314
16315
16316
16317
16318
16319
16320
16321
16322
16323
16324
16325
16326
16327
16328
16329
16330
16331
16332
16333
16334
16335
16336
16337
16338
16339
16340
16341
16342
16343
16344
16345
16346
16347
16348
16349
16350
16351
16352
16353
16354
16355
16356
16357
16358
16359
16360
16361
16362
16363
16364
16365
16366
16367
16368
16369
16370
16371
16372
16373
16374
16375
16376
16377
16378
16379
16380
16381
16382
16383
16384
16385
16386
16387
16388
16389
16390
16391
16392
16393
16394
16395
16396
16397
16398
16399
16400
16401
16402
16403
16404
16405
16406
16407
16408
16409
16410
16411
16412
16413
16414
16415
16416
16417
16418
16419
16420
16421
16422
16423
16424
16425
16426
16427
16428
16429
16430
16431
16432
16433
16434
16435
16436
16437
16438
16439
16440
16441
16442
16443
16444
16445
16446
16447
16448
16449
16450
16451
16452
16453
16454
16455
16456
16457
16458
16459
16460
16461
16462
16463
16464
16465
16466
16467
16468
16469
16470
16471
16472
16473
16474
16475
16476
16477
16478
16479
16480
16481
16482
16483
16484
16485
16486
16487
16488
16489
16490
16491
16492
16493
16494
16495
16496
16497
16498
16499
16500
16501
16502
16503
16504
16505
16506
16507
16508
16509
16510
16511
16512
16513
16514
16515
16516
16517
16518
16519
16520
16521
16522
16523
16524
16525
16526
16527
16528
16529
16530
16531
16532
16533
16534
16535
16536
16537
16538
16539
16540
16541
16542
16543
16544
16545
16546
16547
16548
16549
16550
16551
16552
16553
16554
16555
16556
16557
16558
16559
16560
16561
16562
16563
16564
16565
16566
16567
16568
16569
16570
16571
16572
16573
16574
16575
16576
16577
16578
16579
16580
16581
16582
16583
16584
16585
16586
16587
16588
16589
16590
16591
16592
16593
16594
16595
16596
16597
16598
16599
16600
16601
16602
16603
16604
16605
16606
16607
16608
16609
16610
16611
16612
16613
16614
16615
16616
16617
16618
16619
16620
16621
16622
16623
16624
16625
16626
16627
16628
16629
16630
16631
16632
16633
16634
16635
16636
16637
16638
16639
16640
16641
16642
16643
16644
16645
16646
16647
16648
16649
16650
16651
16652
16653
16654
16655
16656
16657
16658
16659
16660
16661
16662
16663
16664
16665
16666
16667
16668
16669
16670
16671
16672
16673
16674
16675
16676
16677
16678
16679
16680
16681
16682
16683
16684
16685
16686
16687
16688
16689
16690
16691
16692
16693
16694
16695
16696
16697
16698
16699
16700
16701
16702
16703
16704
16705
16706
16707
16708
16709
16710
16711
16712
16713
16714
16715
16716
16717
16718
16719
16720
16721
16722
16723
16724
16725
16726
16727
16728
16729
16730
16731
16732
16733
16734
16735
16736
16737
16738
16739
16740
16741
16742
16743
16744
16745
16746
16747
16748
16749
16750
16751
16752
16753
16754
16755
16756
16757
16758
16759
16760
16761
16762
16763
16764
16765
16766
16767
16768
16769
16770
16771
16772
16773
16774
16775
16776
16777
16778
16779
16780
16781
16782
16783
16784
16785
16786
16787
16788
16789
16790
16791
16792
16793
16794
16795
16796
16797
16798
16799
16800
16801
16802
16803
16804
16805
16806
16807
16808
16809
16810
16811
16812
16813
16814
16815
16816
16817
16818
16819
16820
16821
16822
16823
16824
16825
16826
16827
16828
16829
16830
16831
16832
16833
16834
16835
16836
16837
16838
16839
16840
16841
16842
16843
16844
16845
16846
16847
16848
16849
16850
16851
16852
16853
16854
16855
16856
16857
16858
16859
16860
16861
16862
16863
16864
16865
16866
16867
16868
16869
16870
16871
16872
16873
16874
16875
16876
16877
16878
16879
16880
16881
16882
16883
16884
16885
16886
16887
16888
16889
16890
16891
16892
16893
16894
16895
16896
16897
16898
16899
16900
16901
16902
16903
16904
16905
16906
16907
16908
16909
16910
16911
16912
16913
16914
16915
16916
16917
16918
16919
16920
16921
16922
16923
16924
16925
16926
16927
16928
16929
16930
16931
16932
16933
16934
16935
16936
16937
16938
16939
16940
16941
16942
16943
16944
16945
16946
16947
16948
16949
16950
16951
16952
16953
16954
16955
16956
16957
16958
16959
16960
16961
16962
16963
16964
16965
16966
16967
16968
16969
16970
16971
16972
16973
16974
16975
16976
16977
16978
16979
16980
16981
16982
16983
16984
16985
16986
16987
16988
16989
16990
16991
16992
16993
16994
16995
16996
16997
16998
16999
17000
17001
17002
17003
17004
17005
17006
17007
17008
17009
17010
17011
17012
17013
17014
17015
17016
17017
17018
17019
17020
17021
17022
17023
17024
17025
17026
17027
17028
17029
17030
17031
17032
17033
17034
17035
17036
17037
17038
17039
17040
17041
17042
17043
17044
17045
17046
17047
17048
17049
17050
17051
17052
17053
17054
17055
17056
17057
17058
17059
17060
17061
17062
17063
17064
17065
17066
17067
17068
17069
17070
17071
17072
17073
17074
17075
17076
17077
17078
17079
17080
17081
17082
17083
17084
17085
17086
17087
17088
17089
17090
17091
17092
17093
17094
17095
17096
17097
17098
17099
17100
17101
17102
17103
17104
17105
17106
17107
17108
17109
17110
17111
17112
17113
17114
17115
17116
17117
17118
17119
17120
17121
17122
17123
17124
17125
17126
17127
17128
17129
17130
17131
17132
17133
17134
17135
17136
17137
17138
17139
17140
17141
17142
17143
17144
17145
17146
17147
17148
17149
17150
17151
17152
17153
17154
17155
17156
17157
17158
17159
17160
17161
17162
17163
17164
17165
17166
17167
17168
17169
17170
17171
17172
17173
17174
17175
17176
17177
17178
17179
17180
17181
17182
17183
17184
17185
17186
17187
17188
17189
17190
17191
17192
17193
17194
17195
17196
17197
17198
17199
17200
17201
17202
17203
17204
17205
17206
17207
17208
17209
17210
17211
17212
17213
17214
17215
17216
17217
17218
17219
17220
17221
17222
17223
17224
17225
17226
17227
17228
17229
17230
17231
17232
17233
17234
17235
17236
17237
17238
17239
17240
17241
17242
17243
17244
17245
17246
17247
17248
17249
17250
17251
17252
17253
17254
17255
17256
17257
17258
17259
17260
17261
17262
17263
17264
17265
17266
17267
17268
17269
17270
17271
17272
17273
17274
17275
17276
17277
17278
17279
17280
17281
17282
17283
17284
17285
17286
17287
17288
17289
17290
17291
17292
17293
17294
17295
17296
17297
17298
17299
17300
17301
17302
17303
17304
17305
17306
17307
17308
17309
17310
17311
17312
17313
17314
17315
17316
17317
17318
17319
17320
17321
17322
17323
17324
17325
17326
17327
17328
17329
17330
17331
17332
17333
17334
17335
17336
17337
17338
17339
17340
17341
17342
17343
17344
17345
17346
17347
17348
17349
17350
17351
17352
17353
17354
17355
17356
17357
17358
17359
17360
17361
17362
17363
17364
17365
17366
17367
17368
17369
17370
17371
17372
17373
17374
17375
17376
17377
17378
17379
17380
17381
17382
17383
17384
17385
17386
17387
17388
17389
17390
17391
17392
17393
17394
17395
17396
17397
17398
17399
17400
17401
17402
17403
17404
17405
17406
17407
17408
17409
17410
17411
17412
17413
17414
17415
17416
17417
17418
17419
17420
17421
17422
17423
17424
17425
17426
17427
17428
17429
17430
17431
17432
17433
17434
17435
17436
17437
17438
17439
17440
17441
17442
17443
17444
17445
17446
17447
17448
17449
17450
17451
17452
17453
17454
17455
17456
17457
17458
17459
17460
17461
17462
17463
17464
17465
17466
17467
17468
17469
17470
17471
17472
17473
17474
17475
17476
17477
17478
17479
17480
17481
17482
17483
17484
17485
17486
17487
17488
17489
17490
17491
17492
17493
17494
17495
17496
17497
17498
17499
17500
17501
17502
17503
17504
17505
17506
17507
17508
17509
17510
17511
17512
17513
17514
17515
17516
17517
17518
17519
17520
17521
17522
17523
17524
17525
17526
17527
17528
17529
17530
17531
17532
17533
17534
17535
17536
17537
17538
17539
17540
17541
17542
17543
17544
17545
17546
17547
17548
17549
17550
17551
17552
17553
17554
17555
17556
17557
17558
17559
17560
17561
17562
17563
17564
17565
17566
17567
17568
17569
17570
17571
17572
17573
17574
17575
17576
17577
17578
17579
17580
17581
17582
17583
17584
17585
17586
17587
17588
17589
17590
17591
17592
17593
17594
17595
17596
17597
17598
17599
17600
17601
17602
17603
17604
17605
17606
17607
17608
17609
17610
17611
17612
17613
17614
17615
17616
17617
17618
17619
17620
17621
17622
17623
17624
17625
17626
17627
17628
17629
17630
17631
17632
17633
17634
17635
17636
17637
17638
17639
17640
17641
17642
17643
17644
17645
17646
17647
17648
17649
17650
17651
17652
17653
17654
17655
17656
17657
17658
17659
17660
17661
17662
17663
17664
17665
17666
17667
17668
17669
17670
17671
17672
17673
17674
17675
17676
17677
17678
17679
17680
17681
17682
17683
17684
17685
17686
17687
17688
17689
17690
17691
17692
17693
17694
17695
17696
17697
17698
17699
17700
17701
17702
17703
17704
17705
17706
17707
17708
17709
17710
17711
17712
17713
17714
17715
17716
17717
17718
17719
17720
17721
17722
17723
17724
17725
17726
17727
17728
17729
17730
17731
17732
17733
17734
17735
17736
17737
17738
17739
17740
17741
17742
17743
17744
17745
17746
17747
17748
17749
17750
17751
17752
17753
17754
17755
17756
17757
17758
17759
17760
17761
17762
17763
17764
17765
17766
17767
17768
17769
17770
17771
17772
17773
17774
17775
17776
17777
17778
17779
17780
17781
17782
17783
17784
17785
17786
17787
17788
17789
17790
17791
17792
17793
17794
17795
17796
17797
17798
17799
17800
17801
17802
17803
17804
17805
17806
17807
17808
17809
17810
17811
17812
17813
17814
17815
17816
17817
17818
17819
17820
17821
17822
17823
17824
17825
17826
17827
17828
17829
17830
17831
17832
17833
17834
17835
17836
17837
17838
17839
17840
17841
17842
17843
17844
17845
17846
17847
17848
17849
17850
17851
17852
17853
17854
17855
17856
17857
17858
17859
17860
17861
17862
17863
17864
17865
17866
17867
17868
17869
17870
17871
17872
17873
17874
17875
17876
17877
17878
17879
17880
17881
17882
17883
17884
17885
17886
17887
17888
17889
17890
17891
17892
17893
17894
17895
17896
17897
17898
17899
17900
17901
17902
17903
17904
17905
17906
17907
17908
17909
17910
17911
17912
17913
17914
17915
17916
17917
17918
17919
17920
17921
17922
17923
17924
17925
17926
17927
17928
17929
17930
17931
17932
17933
17934
17935
17936
17937
17938
17939
17940
17941
17942
17943
17944
17945
17946
17947
17948
17949
17950
17951
17952
17953
17954
17955
17956
17957
17958
17959
17960
17961
17962
17963
17964
17965
17966
17967
17968
17969
17970
17971
17972
17973
17974
17975
17976
17977
17978
17979
17980
17981
17982
17983
17984
17985
17986
17987
17988
17989
17990
17991
17992
17993
17994
17995
17996
17997
17998
17999
18000
18001
18002
18003
18004
18005
18006
18007
18008
18009
18010
18011
18012
18013
18014
18015
18016
18017
18018
18019
18020
18021
18022
18023
18024
18025
18026
18027
18028
18029
18030
18031
18032
18033
18034
18035
18036
18037
18038
18039
18040
18041
18042
18043
18044
18045
18046
18047
18048
18049
18050
18051
18052
18053
18054
18055
18056
18057
18058
18059
18060
18061
18062
18063
18064
18065
18066
18067
18068
18069
18070
18071
18072
18073
18074
18075
18076
18077
18078
18079
18080
18081
18082
18083
18084
18085
18086
18087
18088
18089
18090
18091
18092
18093
18094
18095
18096
18097
18098
18099
18100
18101
18102
18103
18104
18105
18106
18107
18108
18109
18110
18111
18112
18113
18114
18115
18116
18117
18118
18119
18120
18121
18122
18123
18124
18125
18126
18127
18128
18129
18130
18131
18132
18133
18134
18135
18136
18137
18138
18139
18140
18141
18142
18143
18144
18145
18146
18147
18148
18149
18150
18151
18152
18153
18154
18155
18156
18157
18158
18159
18160
18161
18162
18163
18164
18165
18166
18167
18168
18169
18170
18171
18172
18173
18174
18175
18176
18177
18178
18179
18180
18181
18182
18183
18184
18185
18186
18187
18188
18189
18190
18191
18192
18193
18194
18195
18196
18197
18198
18199
18200
18201
18202
18203
18204
18205
18206
18207
18208
18209
18210
18211
18212
18213
18214
18215
18216
18217
18218
18219
18220
18221
18222
18223
18224
18225
18226
18227
18228
18229
18230
18231
18232
18233
18234
18235
18236
18237
18238
18239
18240
18241
18242
18243
18244
18245
18246
18247
18248
18249
18250
18251
18252
18253
18254
18255
18256
18257
18258
18259
18260
18261
18262
18263
18264
18265
18266
18267
18268
18269
18270
18271
18272
18273
18274
18275
18276
18277
18278
18279
18280
18281
18282
18283
18284
18285
18286
18287
18288
18289
18290
18291
18292
18293
18294
18295
18296
18297
18298
18299
18300
18301
18302
18303
18304
18305
18306
18307
18308
18309
18310
18311
18312
18313
18314
18315
18316
18317
18318
18319
18320
18321
18322
18323
18324
18325
18326
18327
18328
18329
18330
18331
18332
18333
18334
18335
18336
18337
18338
18339
18340
18341
18342
18343
18344
18345
18346
18347
18348
18349
18350
18351
18352
18353
18354
18355
18356
18357
18358
18359
18360
18361
18362
18363
18364
18365
18366
18367
18368
18369
18370
18371
18372
18373
18374
18375
18376
18377
18378
18379
18380
18381
18382
18383
18384
18385
18386
18387
18388
18389
18390
18391
18392
18393
18394
18395
18396
18397
18398
18399
18400
18401
18402
18403
18404
18405
18406
18407
18408
18409
18410
18411
18412
18413
18414
18415
18416
18417
18418
18419
18420
18421
18422
18423
18424
18425
18426
18427
18428
18429
18430
18431
18432
18433
18434
18435
18436
18437
18438
18439
18440
18441
18442
18443
18444
18445
18446
18447
18448
18449
18450
18451
18452
18453
18454
18455
18456
18457
18458
18459
18460
18461
18462
18463
18464
18465
18466
18467
18468
18469
18470
18471
18472
18473
18474
18475
18476
18477
18478
18479
18480
18481
18482
18483
18484
18485
18486
18487
18488
18489
18490
18491
18492
18493
18494
18495
18496
18497
18498
18499
18500
18501
18502
18503
18504
18505
18506
18507
18508
18509
18510
18511
18512
18513
18514
18515
18516
18517
18518
18519
18520
18521
18522
18523
18524
18525
18526
18527
18528
18529
18530
18531
18532
18533
18534
18535
18536
18537
18538
18539
18540
18541
18542
18543
18544
18545
18546
18547
18548
18549
18550
18551
18552
18553
18554
18555
18556
18557
18558
18559
18560
18561
18562
18563
18564
18565
18566
18567
18568
18569
18570
18571
18572
18573
18574
18575
18576
18577
18578
18579
18580
18581
18582
18583
18584
18585
18586
18587
18588
18589
18590
18591
18592
18593
18594
18595
18596
18597
18598
18599
18600
18601
18602
18603
18604
18605
18606
18607
18608
18609
18610
18611
18612
18613
18614
18615
18616
18617
18618
18619
18620
18621
18622
18623
18624
18625
18626
18627
18628
18629
18630
18631
18632
18633
18634
18635
18636
18637
18638
18639
18640
18641
18642
18643
18644
18645
18646
18647
18648
18649
18650
18651
18652
18653
18654
18655
18656
18657
18658
18659
18660
18661
18662
18663
18664
18665
18666
18667
18668
18669
18670
18671
18672
18673
18674
18675
18676
18677
18678
18679
18680
18681
18682
18683
18684
18685
18686
18687
18688
18689
18690
18691
18692
18693
18694
18695
18696
18697
18698
18699
18700
18701
18702
18703
18704
18705
18706
18707
18708
18709
18710
18711
18712
18713
18714
18715
18716
18717
18718
18719
18720
18721
18722
18723
18724
18725
18726
18727
18728
18729
18730
18731
18732
18733
18734
18735
18736
18737
18738
18739
18740
18741
18742
18743
18744
18745
18746
18747
18748
18749
18750
18751
18752
18753
18754
18755
18756
18757
18758
18759
18760
18761
18762
18763
18764
18765
18766
18767
18768
18769
18770
18771
18772
18773
18774
18775
18776
18777
18778
18779
18780
18781
18782
18783
18784
18785
18786
18787
18788
18789
18790
18791
18792
18793
18794
18795
18796
18797
18798
18799
18800
18801
18802
18803
18804
18805
18806
18807
18808
18809
18810
18811
18812
18813
18814
18815
18816
18817
18818
18819
18820
18821
18822
18823
18824
18825
18826
18827
18828
18829
18830
18831
18832
18833
18834
18835
18836
18837
18838
18839
18840
18841
18842
18843
18844
18845
18846
18847
18848
18849
18850
18851
18852
18853
18854
18855
18856
18857
18858
18859
18860
18861
18862
18863
18864
18865
18866
18867
18868
18869
18870
18871
18872
18873
18874
18875
18876
18877
18878
18879
18880
18881
18882
18883
18884
18885
18886
18887
18888
18889
18890
18891
18892
18893
18894
18895
18896
18897
18898
18899
18900
18901
18902
18903
18904
18905
18906
18907
18908
18909
18910
18911
18912
18913
18914
18915
18916
18917
18918
18919
18920
18921
18922
18923
18924
18925
18926
18927
18928
18929
18930
18931
18932
18933
18934
18935
18936
18937
18938
18939
18940
18941
18942
18943
18944
18945
18946
18947
18948
18949
18950
18951
18952
18953
18954
18955
18956
18957
18958
18959
18960
18961
18962
18963
18964
18965
18966
18967
18968
18969
18970
18971
18972
18973
18974
18975
18976
18977
18978
18979
18980
18981
18982
18983
18984
18985
18986
18987
18988
18989
18990
18991
18992
18993
18994
18995
18996
18997
18998
18999
19000
19001
19002
19003
19004
19005
19006
19007
19008
19009
19010
19011
19012
19013
19014
19015
19016
19017
19018
19019
19020
19021
19022
19023
19024
19025
19026
19027
19028
19029
19030
19031
19032
19033
19034
19035
19036
19037
19038
19039
19040
19041
19042
19043
19044
19045
19046
19047
19048
19049
19050
19051
19052
19053
19054
19055
19056
19057
19058
19059
19060
19061
19062
19063
19064
19065
19066
19067
19068
19069
19070
19071
19072
19073
19074
19075
19076
19077
19078
19079
19080
19081
19082
19083
19084
19085
19086
19087
19088
19089
19090
19091
19092
19093
19094
19095
19096
19097
19098
19099
19100
19101
19102
19103
19104
19105
19106
19107
19108
19109
19110
19111
19112
19113
19114
19115
19116
19117
19118
19119
19120
19121
19122
19123
19124
19125
19126
19127
19128
19129
19130
19131
19132
19133
19134
19135
19136
19137
19138
19139
19140
19141
19142
19143
19144
19145
19146
19147
19148
19149
19150
19151
19152
19153
19154
19155
19156
19157
19158
19159
19160
19161
19162
19163
19164
19165
19166
19167
19168
19169
19170
19171
19172
19173
19174
19175
19176
19177
19178
19179
19180
19181
19182
19183
19184
19185
19186
19187
19188
19189
19190
19191
19192
19193
19194
19195
19196
19197
19198
19199
19200
19201
19202
19203
19204
19205
19206
19207
19208
19209
19210
19211
19212
19213
19214
19215
19216
19217
19218
19219
19220
19221
19222
19223
19224
19225
19226
19227
19228
19229
19230
19231
19232
19233
19234
19235
19236
19237
19238
19239
19240
19241
19242
19243
19244
19245
19246
19247
19248
19249
19250
19251
19252
19253
19254
19255
19256
19257
19258
19259
19260
19261
19262
19263
19264
19265
19266
19267
19268
19269
19270
19271
19272
19273
19274
19275
19276
19277
19278
19279
19280
19281
19282
19283
19284
19285
19286
19287
19288
19289
19290
19291
19292
19293
19294
19295
19296
19297
19298
19299
19300
19301
19302
19303
19304
19305
19306
19307
19308
19309
19310
19311
19312
19313
19314
19315
19316
19317
19318
19319
19320
19321
19322
19323
19324
19325
19326
19327
19328
19329
19330
19331
19332
19333
19334
19335
19336
19337
19338
19339
19340
19341
19342
19343
19344
19345
19346
19347
19348
19349
19350
19351
19352
19353
19354
19355
19356
19357
19358
19359
19360
19361
19362
19363
19364
19365
19366
19367
19368
19369
19370
19371
19372
19373
19374
19375
19376
19377
19378
19379
19380
19381
19382
19383
19384
19385
19386
19387
19388
19389
19390
19391
19392
19393
19394
19395
19396
19397
19398
19399
19400
19401
19402
19403
19404
19405
19406
19407
19408
19409
19410
19411
19412
19413
19414
19415
19416
19417
19418
19419
19420
19421
19422
19423
19424
19425
19426
19427
19428
19429
19430
19431
19432
19433
19434
19435
19436
19437
19438
19439
19440
19441
19442
19443
19444
19445
19446
19447
19448
19449
19450
19451
19452
19453
19454
19455
19456
19457
19458
19459
19460
19461
19462
19463
19464
19465
19466
19467
19468
19469
19470
19471
19472
19473
19474
19475
19476
19477
19478
19479
19480
19481
19482
19483
19484
19485
19486
19487
19488
19489
19490
19491
19492
19493
19494
19495
19496
19497
19498
19499
19500
19501
19502
19503
19504
19505
19506
19507
19508
19509
19510
19511
19512
19513
19514
19515
19516
19517
19518
19519
19520
19521
19522
19523
19524
19525
19526
19527
19528
19529
19530
19531
19532
19533
19534
19535
19536
19537
19538
19539
19540
19541
19542
19543
19544
19545
19546
19547
19548
19549
19550
19551
19552
19553
19554
19555
19556
19557
19558
19559
19560
19561
19562
19563
19564
19565
19566
19567
19568
19569
19570
19571
19572
19573
19574
19575
19576
19577
19578
19579
19580
19581
19582
19583
19584
19585
19586
19587
19588
19589
19590
19591
19592
19593
19594
19595
19596
19597
19598
19599
19600
19601
19602
19603
19604
19605
19606
19607
19608
19609
19610
19611
19612
19613
19614
19615
19616
19617
19618
19619
19620
19621
19622
19623
19624
19625
19626
19627
19628
19629
19630
19631
19632
19633
19634
19635
19636
19637
19638
19639
19640
19641
19642
19643
19644
19645
19646
19647
19648
19649
19650
19651
19652
19653
19654
19655
19656
19657
19658
19659
19660
19661
19662
19663
19664
19665
19666
19667
19668
19669
19670
19671
19672
19673
19674
19675
19676
19677
19678
19679
19680
19681
19682
19683
19684
19685
19686
19687
19688
19689
19690
19691
19692
19693
19694
19695
19696
19697
19698
19699
19700
19701
19702
19703
19704
19705
19706
19707
19708
19709
19710
19711
19712
19713
19714
19715
19716
19717
19718
19719
19720
19721
19722
19723
19724
19725
19726
19727
19728
19729
19730
19731
19732
19733
19734
19735
19736
19737
19738
19739
19740
19741
19742
19743
19744
19745
19746
19747
19748
19749
19750
19751
19752
19753
19754
19755
19756
19757
19758
19759
19760
19761
19762
19763
19764
19765
19766
19767
19768
19769
19770
19771
19772
19773
19774
19775
19776
19777
19778
19779
19780
19781
19782
19783
19784
19785
19786
19787
19788
19789
19790
19791
19792
19793
19794
19795
19796
19797
19798
19799
19800
19801
19802
19803
19804
19805
19806
19807
19808
19809
19810
19811
19812
19813
19814
19815
19816
19817
19818
19819
19820
19821
19822
19823
19824
19825
19826
19827
19828
19829
19830
19831
19832
19833
19834
19835
19836
19837
19838
19839
19840
19841
19842
19843
19844
19845
19846
19847
19848
19849
19850
19851
19852
19853
19854
19855
19856
19857
19858
19859
19860
19861
19862
19863
19864
19865
19866
19867
19868
19869
19870
19871
19872
19873
19874
19875
19876
19877
19878
19879
19880
19881
19882
19883
19884
19885
19886
19887
19888
19889
19890
19891
19892
19893
19894
19895
19896
19897
19898
19899
19900
19901
19902
19903
19904
19905
19906
19907
19908
19909
19910
19911
19912
19913
19914
19915
19916
19917
19918
19919
19920
19921
19922
19923
19924
19925
19926
19927
19928
19929
19930
19931
19932
19933
19934
19935
19936
19937
19938
19939
19940
19941
19942
19943
19944
19945
19946
19947
19948
19949
19950
19951
19952
19953
19954
19955
19956
19957
19958
19959
19960
19961
19962
19963
19964
19965
19966
19967
19968
19969
19970
19971
19972
19973
19974
19975
19976
19977
19978
19979
19980
19981
19982
19983
19984
19985
19986
19987
19988
19989
19990
19991
19992
19993
19994
19995
19996
19997
19998
19999
20000
20001
20002
20003
20004
20005
20006
20007
20008
20009
20010
20011
20012
20013
20014
20015
20016
20017
20018
20019
20020
20021
20022
20023
20024
20025
20026
20027
20028
20029
20030
20031
20032
20033
20034
20035
20036
20037
20038
20039
20040
20041
20042
20043
20044
20045
20046
20047
20048
20049
20050
20051
20052
20053
20054
20055
20056
20057
20058
20059
20060
20061
20062
20063
20064
20065
20066
20067
20068
20069
20070
20071
20072
20073
20074
20075
20076
20077
20078
20079
20080
20081
20082
20083
20084
20085
20086
20087
20088
20089
20090
20091
20092
20093
20094
20095
20096
20097
20098
20099
20100
20101
20102
20103
20104
20105
20106
20107
20108
20109
20110
20111
20112
20113
20114
20115
20116
20117
20118
20119
20120
20121
20122
20123
20124
20125
20126
20127
20128
20129
20130
20131
20132
20133
20134
20135
20136
20137
20138
20139
20140
20141
20142
20143
20144
20145
20146
20147
20148
20149
20150
20151
20152
20153
20154
20155
20156
20157
20158
20159
20160
20161
20162
20163
20164
20165
20166
20167
20168
20169
20170
20171
20172
20173
20174
20175
20176
20177
20178
20179
20180
20181
20182
20183
20184
20185
20186
20187
20188
20189
20190
20191
20192
20193
20194
20195
20196
20197
20198
20199
20200
20201
20202
20203
20204
20205
20206
20207
20208
20209
20210
20211
20212
20213
20214
20215
20216
20217
20218
20219
20220
20221
20222
20223
20224
20225
20226
20227
20228
20229
20230
20231
20232
20233
20234
20235
20236
20237
20238
20239
20240
20241
20242
20243
20244
20245
20246
20247
20248
20249
20250
20251
20252
20253
20254
20255
20256
20257
20258
20259
20260
20261
20262
20263
20264
20265
20266
20267
20268
20269
20270
20271
20272
20273
20274
20275
20276
20277
20278
20279
20280
20281
20282
20283
20284
20285
20286
20287
20288
20289
20290
20291
20292
20293
20294
20295
20296
20297
20298
20299
20300
20301
20302
20303
20304
20305
20306
20307
20308
20309
20310
20311
20312
20313
20314
20315
20316
20317
20318
20319
20320
20321
20322
20323
20324
20325
20326
20327
20328
20329
20330
20331
20332
20333
20334
20335
20336
20337
20338
20339
20340
20341
20342
20343
20344
20345
20346
20347
20348
20349
20350
20351
20352
20353
20354
20355
20356
20357
20358
20359
20360
20361
20362
20363
20364
20365
20366
20367
20368
20369
20370
20371
20372
20373
20374
20375
20376
20377
20378
20379
20380
20381
20382
20383
20384
20385
20386
20387
20388
20389
20390
20391
20392
20393
20394
20395
20396
20397
20398
20399
20400
20401
20402
20403
20404
20405
20406
20407
20408
20409
20410
20411
20412
20413
20414
20415
20416
20417
20418
20419
20420
20421
20422
20423
20424
20425
20426
20427
20428
20429
20430
20431
20432
20433
20434
20435
20436
20437
20438
20439
20440
20441
20442
20443
20444
20445
20446
20447
20448
20449
20450
20451
20452
20453
20454
20455
20456
20457
20458
20459
20460
20461
20462
20463
20464
20465
20466
20467
20468
20469
20470
20471
20472
20473
20474
20475
20476
20477
20478
20479
20480
20481
20482
20483
20484
20485
20486
20487
20488
20489
20490
20491
20492
20493
20494
20495
20496
20497
20498
20499
20500
20501
20502
20503
20504
20505
20506
20507
20508
20509
20510
20511
20512
20513
20514
20515
20516
20517
20518
20519
20520
20521
20522
20523
20524
20525
20526
20527
20528
20529
20530
20531
20532
20533
20534
20535
20536
20537
20538
20539
20540
20541
20542
20543
20544
20545
20546
20547
20548
20549
20550
20551
20552
20553
20554
20555
20556
20557
20558
20559
20560
20561
20562
20563
20564
20565
20566
20567
20568
20569
20570
20571
20572
20573
20574
20575
20576
20577
20578
20579
20580
20581
20582
20583
20584
20585
20586
20587
20588
20589
20590
20591
20592
20593
20594
20595
20596
20597
20598
20599
20600
20601
20602
20603
20604
20605
20606
20607
20608
20609
20610
20611
20612
20613
20614
20615
20616
20617
20618
20619
20620
20621
20622
20623
20624
20625
20626
20627
20628
20629
20630
20631
20632
20633
20634
20635
20636
20637
20638
20639
20640
20641
20642
20643
20644
20645
20646
20647
20648
20649
20650
20651
20652
20653
20654
20655
20656
20657
20658
20659
20660
20661
20662
20663
20664
20665
20666
20667
20668
20669
20670
20671
20672
20673
20674
20675
20676
20677
20678
20679
20680
20681
20682
20683
20684
20685
20686
20687
20688
20689
20690
20691
20692
20693
20694
20695
20696
20697
20698
20699
20700
20701
20702
20703
20704
20705
20706
20707
20708
20709
20710
20711
20712
20713
20714
20715
20716
20717
20718
20719
20720
20721
20722
20723
20724
20725
20726
20727
20728
20729
20730
20731
20732
20733
20734
20735
20736
20737
20738
20739
20740
20741
20742
20743
20744
20745
20746
20747
20748
20749
20750
20751
20752
20753
20754
20755
20756
20757
20758
20759
20760
20761
20762
20763
20764
20765
20766
20767
20768
20769
20770
20771
20772
20773
20774
20775
20776
20777
20778
20779
20780
20781
20782
20783
20784
20785
20786
20787
20788
20789
20790
20791
20792
20793
20794
20795
20796
20797
20798
20799
20800
20801
20802
20803
20804
20805
20806
20807
20808
20809
20810
20811
20812
20813
20814
20815
20816
20817
20818
20819
20820
20821
20822
20823
20824
20825
20826
20827
20828
20829
20830
20831
20832
20833
20834
20835
20836
20837
20838
20839
20840
20841
20842
20843
20844
20845
20846
20847
20848
20849
20850
20851
20852
20853
20854
20855
20856
20857
20858
20859
20860
20861
20862
20863
20864
20865
20866
20867
20868
20869
20870
20871
20872
20873
20874
20875
20876
20877
20878
20879
20880
20881
20882
20883
20884
20885
20886
20887
20888
20889
20890
20891
20892
20893
20894
20895
20896
20897
20898
20899
20900
20901
20902
20903
20904
20905
20906
20907
20908
20909
20910
20911
20912
20913
20914
20915
20916
20917
20918
20919
20920
20921
20922
20923
20924
20925
20926
20927
20928
20929
20930
20931
20932
20933
20934
20935
20936
20937
20938
20939
20940
20941
20942
20943
20944
20945
20946
20947
20948
20949
20950
20951
20952
20953
20954
20955
20956
20957
20958
20959
20960
20961
20962
20963
20964
20965
20966
20967
20968
20969
20970
20971
20972
20973
20974
20975
20976
20977
20978
20979
20980
20981
20982
20983
20984
20985
20986
20987
20988
20989
20990
20991
20992
20993
20994
20995
20996
20997
20998
20999
21000
21001
21002
21003
21004
21005
21006
21007
21008
21009
21010
21011
21012
21013
21014
21015
21016
21017
21018
21019
21020
21021
21022
21023
21024
21025
21026
21027
21028
21029
21030
21031
21032
21033
21034
21035
21036
21037
21038
21039
21040
21041
21042
21043
21044
21045
21046
21047
21048
21049
21050
21051
21052
21053
21054
21055
21056
21057
21058
21059
21060
21061
21062
21063
21064
21065
21066
21067
21068
21069
21070
21071
21072
21073
21074
21075
21076
21077
21078
21079
21080
21081
21082
21083
21084
21085
21086
21087
21088
21089
21090
21091
21092
21093
21094
21095
21096
21097
21098
21099
21100
21101
21102
21103
21104
21105
21106
21107
21108
21109
21110
21111
21112
21113
21114
21115
21116
21117
21118
21119
21120
21121
21122
21123
21124
21125
21126
21127
21128
21129
21130
21131
21132
21133
21134
21135
21136
21137
21138
21139
21140
21141
21142
21143
21144
21145
21146
21147
21148
21149
21150
21151
21152
21153
21154
21155
21156
21157
21158
21159
21160
21161
21162
21163
21164
21165
21166
21167
21168
21169
21170
21171
21172
21173
21174
21175
21176
21177
21178
21179
21180
21181
21182
21183
21184
21185
21186
21187
21188
21189
21190
21191
21192
21193
21194
21195
21196
21197
21198
21199
21200
21201
21202
21203
21204
21205
21206
21207
21208
21209
21210
21211
21212
21213
21214
21215
21216
21217
21218
21219
21220
21221
21222
21223
21224
21225
21226
21227
21228
21229
21230
21231
21232
21233
21234
21235
21236
21237
21238
21239
21240
21241
21242
21243
21244
21245
21246
21247
21248
21249
21250
21251
21252
21253
21254
21255
21256
21257
21258
21259
21260
21261
21262
21263
21264
21265
21266
21267
21268
21269
21270
21271
21272
21273
21274
21275
21276
21277
21278
21279
21280
21281
21282
21283
21284
21285
21286
21287
21288
21289
21290
21291
21292
21293
21294
21295
21296
21297
21298
21299
21300
21301
21302
21303
21304
21305
21306
21307
21308
21309
21310
21311
21312
21313
21314
21315
21316
21317
21318
21319
21320
21321
21322
21323
21324
21325
21326
21327
21328
21329
21330
21331
21332
21333
21334
21335
21336
21337
21338
21339
21340
21341
21342
21343
21344
21345
21346
21347
21348
21349
21350
21351
21352
21353
21354
21355
21356
21357
21358
21359
21360
21361
21362
21363
21364
21365
21366
21367
21368
21369
21370
21371
21372
21373
21374
21375
21376
21377
21378
21379
21380
21381
21382
21383
21384
21385
21386
21387
21388
21389
21390
21391
21392
21393
21394
21395
21396
21397
21398
21399
21400
21401
21402
21403
21404
21405
21406
21407
21408
21409
21410
21411
21412
21413
21414
21415
21416
21417
21418
21419
21420
21421
21422
21423
21424
21425
21426
21427
21428
21429
21430
21431
21432
21433
21434
21435
21436
21437
21438
21439
21440
21441
21442
21443
21444
21445
21446
21447
21448
21449
21450
21451
21452
21453
21454
21455
21456
21457
21458
21459
21460
21461
21462
21463
21464
21465
21466
21467
21468
21469
21470
21471
21472
21473
21474
21475
21476
21477
21478
21479
21480
21481
21482
21483
21484
21485
21486
21487
21488
21489
21490
21491
21492
21493
21494
21495
21496
21497
21498
21499
21500
21501
21502
21503
21504
21505
21506
21507
21508
21509
21510
21511
21512
21513
21514
21515
21516
21517
21518
21519
21520
21521
21522
21523
21524
21525
21526
21527
21528
21529
21530
21531
21532
21533
21534
21535
21536
21537
21538
21539
21540
21541
21542
21543
21544
21545
21546
21547
21548
21549
21550
21551
21552
21553
21554
21555
21556
21557
21558
21559
21560
21561
21562
21563
21564
21565
21566
21567
21568
21569
21570
21571
21572
21573
21574
21575
21576
21577
21578
21579
21580
21581
21582
21583
21584
21585
21586
21587
21588
21589
21590
21591
21592
21593
21594
21595
21596
21597
21598
21599
21600
21601
21602
21603
21604
21605
21606
21607
21608
21609
21610
21611
21612
21613
21614
21615
21616
21617
21618
21619
21620
21621
21622
21623
21624
21625
21626
21627
21628
21629
21630
21631
21632
21633
21634
21635
21636
21637
21638
21639
21640
21641
21642
21643
21644
21645
21646
21647
21648
21649
21650
21651
21652
21653
21654
21655
21656
21657
21658
21659
21660
21661
21662
21663
21664
21665
21666
21667
21668
21669
21670
21671
21672
21673
21674
21675
21676
21677
21678
21679
21680
21681
21682
21683
21684
21685
21686
21687
21688
21689
21690
21691
21692
21693
21694
21695
21696
21697
21698
21699
21700
21701
21702
21703
21704
21705
21706
21707
21708
21709
21710
21711
21712
21713
21714
21715
21716
21717
21718
21719
21720
21721
21722
21723
21724
21725
21726
21727
21728
21729
21730
21731
21732
21733
21734
21735
21736
21737
21738
21739
21740
21741
21742
21743
21744
21745
21746
21747
21748
21749
21750
21751
21752
21753
21754
21755
21756
21757
21758
21759
21760
21761
21762
21763
21764
21765
21766
21767
21768
21769
21770
21771
21772
21773
21774
21775
21776
21777
21778
21779
21780
21781
21782
21783
21784
21785
21786
21787
21788
21789
21790
21791
21792
21793
21794
21795
21796
21797
21798
21799
21800
21801
21802
21803
21804
21805
21806
21807
21808
21809
21810
21811
21812
21813
21814
21815
21816
21817
21818
21819
21820
21821
21822
21823
21824
21825
21826
21827
21828
21829
21830
21831
21832
21833
21834
21835
21836
21837
21838
21839
21840
21841
21842
21843
21844
21845
21846
21847
21848
21849
21850
21851
21852
21853
21854
21855
21856
21857
21858
21859
21860
21861
21862
21863
21864
21865
21866
21867
21868
21869
21870
21871
21872
21873
21874
21875
21876
21877
21878
21879
21880
21881
21882
21883
21884
21885
21886
21887
21888
21889
21890
21891
21892
21893
21894
21895
21896
21897
21898
21899
21900
21901
21902
21903
21904
21905
21906
21907
21908
21909
21910
21911
21912
21913
21914
21915
21916
21917
21918
21919
21920
21921
21922
21923
21924
21925
21926
21927
21928
21929
21930
21931
21932
21933
21934
21935
21936
21937
21938
21939
21940
21941
21942
21943
21944
21945
21946
21947
21948
21949
21950
21951
21952
21953
21954
21955
21956
21957
21958
21959
21960
21961
21962
21963
21964
21965
21966
21967
21968
21969
21970
21971
21972
21973
21974
21975
21976
21977
21978
21979
21980
21981
21982
21983
21984
21985
21986
21987
21988
21989
21990
21991
21992
21993
21994
21995
21996
21997
21998
21999
22000
22001
22002
22003
22004
22005
22006
22007
22008
22009
22010
22011
22012
22013
22014
22015
22016
22017
22018
22019
22020
22021
22022
22023
22024
22025
22026
22027
22028
22029
22030
22031
22032
22033
22034
22035
22036
22037
22038
22039
22040
22041
22042
22043
22044
22045
22046
22047
22048
22049
22050
22051
22052
22053
22054
22055
22056
22057
22058
22059
22060
22061
22062
22063
22064
22065
22066
22067
22068
22069
22070
22071
22072
22073
22074
22075
22076
22077
22078
22079
22080
22081
22082
22083
22084
22085
22086
22087
22088
22089
22090
22091
22092
22093
22094
22095
22096
22097
22098
22099
22100
22101
22102
22103
22104
22105
22106
22107
22108
22109
22110
22111
22112
22113
22114
22115
22116
22117
22118
22119
22120
22121
22122
22123
22124
22125
22126
22127
22128
22129
22130
22131
22132
22133
22134
22135
22136
22137
22138
22139
22140
22141
22142
22143
22144
22145
22146
22147
22148
22149
22150
22151
22152
22153
22154
22155
22156
22157
22158
22159
22160
22161
22162
22163
22164
22165
22166
22167
22168
22169
22170
22171
22172
22173
22174
22175
22176
22177
22178
22179
22180
22181
22182
22183
22184
22185
22186
22187
22188
22189
22190
22191
22192
22193
22194
22195
22196
22197
22198
22199
22200
22201
22202
22203
22204
22205
22206
22207
22208
22209
22210
22211
22212
22213
22214
22215
22216
22217
22218
22219
22220
22221
22222
22223
22224
22225
22226
22227
22228
22229
22230
22231
22232
22233
22234
22235
22236
22237
22238
22239
22240
22241
22242
22243
22244
22245
22246
22247
22248
22249
22250
22251
22252
22253
22254
22255
22256
22257
22258
22259
22260
22261
22262
22263
22264
22265
22266
22267
22268
22269
22270
22271
22272
22273
22274
22275
22276
22277
22278
22279
22280
22281
22282
22283
22284
22285
22286
22287
22288
22289
22290
22291
22292
22293
22294
22295
22296
22297
22298
22299
22300
22301
22302
22303
22304
22305
22306
22307
22308
22309
22310
22311
22312
22313
22314
22315
22316
22317
22318
22319
22320
22321
22322
22323
22324
22325
22326
22327
22328
22329
22330
22331
22332
22333
22334
22335
22336
22337
22338
22339
22340
22341
22342
22343
22344
22345
22346
22347
22348
22349
22350
22351
22352
22353
22354
22355
22356
22357
22358
22359
22360
22361
22362
22363
22364
22365
22366
22367
22368
22369
22370
22371
22372
22373
22374
22375
22376
22377
22378
22379
22380
22381
22382
22383
22384
22385
22386
22387
22388
22389
22390
22391
22392
22393
22394
22395
22396
22397
22398
22399
22400
22401
22402
22403
22404
22405
22406
22407
22408
22409
22410
22411
22412
22413
22414
22415
22416
22417
22418
22419
22420
22421
22422
22423
22424
22425
22426
22427
22428
22429
22430
22431
22432
22433
22434
22435
22436
22437
22438
22439
22440
22441
22442
22443
22444
22445
22446
22447
22448
22449
22450
22451
22452
22453
22454
22455
22456
22457
22458
22459
22460
22461
22462
22463
22464
22465
22466
22467
22468
22469
22470
22471
22472
22473
22474
22475
22476
22477
22478
22479
22480
22481
22482
22483
22484
22485
22486
22487
22488
22489
22490
22491
22492
22493
22494
22495
22496
22497
22498
22499
22500
22501
22502
22503
22504
22505
22506
22507
22508
22509
22510
22511
22512
22513
22514
22515
22516
22517
22518
22519
22520
22521
22522
22523
22524
22525
22526
22527
22528
22529
22530
22531
22532
22533
22534
22535
22536
22537
22538
22539
22540
22541
22542
22543
22544
22545
22546
22547
22548
22549
22550
22551
22552
22553
22554
22555
22556
22557
22558
22559
22560
22561
22562
22563
22564
22565
22566
22567
22568
22569
22570
22571
22572
22573
22574
22575
22576
22577
22578
22579
22580
22581
22582
22583
22584
22585
22586
22587
22588
22589
22590
22591
22592
22593
22594
22595
22596
22597
22598
22599
22600
22601
22602
22603
22604
22605
22606
22607
22608
22609
22610
22611
22612
22613
22614
22615
22616
22617
22618
22619
22620
22621
22622
22623
22624
22625
22626
22627
22628
22629
22630
22631
22632
22633
22634
22635
22636
22637
22638
22639
22640
22641
22642
22643
22644
22645
22646
22647
22648
22649
22650
22651
22652
22653
22654
22655
22656
22657
22658
22659
22660
22661
22662
22663
22664
22665
22666
22667
22668
22669
22670
22671
22672
22673
22674
22675
22676
22677
22678
22679
22680
22681
22682
22683
22684
22685
22686
22687
22688
22689
22690
22691
22692
22693
22694
22695
22696
22697
22698
22699
22700
22701
22702
22703
22704
22705
22706
22707
22708
22709
22710
22711
22712
22713
22714
22715
22716
22717
22718
22719
22720
22721
22722
22723
22724
22725
22726
22727
22728
22729
22730
22731
22732
22733
22734
22735
22736
22737
22738
22739
22740
22741
22742
22743
22744
22745
22746
22747
22748
22749
22750
22751
22752
22753
22754
22755
22756
22757
22758
22759
22760
22761
22762
22763
22764
22765
22766
22767
22768
22769
22770
22771
22772
22773
22774
22775
22776
22777
22778
22779
22780
22781
22782
22783
22784
22785
22786
22787
22788
22789
22790
22791
22792
22793
22794
22795
22796
22797
22798
22799
22800
22801
22802
22803
22804
22805
22806
22807
22808
22809
22810
22811
22812
22813
22814
22815
22816
22817
22818
22819
22820
22821
22822
22823
22824
22825
22826
22827
22828
22829
22830
22831
22832
22833
22834
22835
22836
22837
22838
22839
22840
22841
22842
22843
22844
22845
22846
22847
22848
22849
22850
22851
22852
22853
22854
22855
22856
22857
22858
22859
22860
22861
22862
22863
22864
22865
22866
22867
22868
22869
22870
22871
22872
22873
22874
22875
22876
22877
22878
22879
22880
22881
22882
22883
22884
22885
22886
22887
22888
22889
22890
22891
22892
22893
22894
22895
22896
22897
22898
22899
22900
22901
22902
22903
22904
22905
22906
22907
22908
22909
22910
22911
22912
22913
22914
22915
22916
22917
22918
22919
22920
22921
22922
22923
22924
22925
22926
22927
22928
22929
22930
22931
22932
22933
22934
22935
22936
22937
22938
22939
22940
22941
22942
22943
22944
22945
22946
22947
22948
22949
22950
22951
22952
22953
22954
22955
22956
22957
22958
22959
22960
22961
22962
22963
22964
22965
22966
22967
22968
22969
22970
22971
22972
22973
22974
22975
22976
22977
22978
22979
22980
22981
22982
22983
22984
22985
22986
22987
22988
22989
22990
22991
22992
22993
22994
22995
22996
22997
22998
22999
23000
23001
23002
23003
23004
23005
23006
23007
23008
23009
23010
23011
23012
23013
23014
23015
23016
23017
23018
23019
23020
23021
23022
23023
23024
23025
23026
23027
23028
23029
23030
23031
23032
23033
23034
23035
23036
23037
23038
23039
23040
23041
23042
23043
23044
23045
23046
23047
23048
23049
23050
23051
23052
23053
23054
23055
23056
23057
23058
23059
23060
23061
23062
23063
23064
23065
23066
23067
23068
23069
23070
23071
23072
23073
23074
23075
23076
23077
23078
23079
23080
23081
23082
23083
23084
23085
23086
23087
23088
23089
23090
23091
23092
23093
23094
23095
23096
23097
23098
23099
23100
23101
23102
23103
23104
23105
23106
23107
23108
23109
23110
23111
23112
23113
23114
23115
23116
23117
23118
23119
23120
23121
23122
23123
23124
23125
23126
23127
23128
23129
23130
23131
23132
23133
23134
23135
23136
23137
23138
23139
23140
23141
23142
23143
23144
23145
23146
23147
23148
23149
23150
23151
23152
23153
23154
23155
23156
23157
23158
23159
23160
23161
23162
23163
23164
23165
23166
23167
23168
23169
23170
23171
23172
23173
23174
23175
23176
23177
23178
23179
23180
23181
23182
23183
23184
23185
23186
23187
23188
23189
23190
23191
23192
23193
23194
23195
23196
23197
23198
23199
23200
23201
23202
23203
23204
23205
23206
23207
23208
23209
23210
23211
23212
23213
23214
23215
23216
23217
23218
23219
23220
23221
23222
23223
23224
23225
23226
23227
23228
23229
23230
23231
23232
23233
23234
23235
23236
23237
23238
23239
23240
23241
23242
23243
23244
23245
23246
23247
23248
23249
23250
23251
23252
23253
23254
23255
23256
23257
23258
23259
23260
23261
23262
23263
23264
23265
23266
23267
23268
23269
23270
23271
23272
23273
23274
23275
23276
23277
23278
23279
23280
23281
23282
23283
23284
23285
23286
23287
23288
23289
23290
23291
23292
23293
23294
23295
23296
23297
23298
23299
23300
23301
23302
23303
23304
23305
23306
23307
23308
23309
23310
23311
23312
23313
23314
23315
23316
23317
23318
23319
23320
23321
23322
23323
23324
23325
23326
23327
23328
23329
23330
23331
23332
23333
23334
23335
23336
23337
23338
23339
23340
23341
23342
23343
23344
23345
23346
23347
23348
23349
23350
23351
23352
23353
23354
23355
23356
23357
23358
23359
23360
23361
23362
23363
23364
23365
23366
23367
23368
23369
23370
23371
23372
23373
23374
23375
23376
23377
23378
23379
23380
23381
23382
23383
23384
23385
23386
23387
23388
23389
23390
23391
23392
23393
23394
23395
23396
23397
23398
23399
23400
23401
23402
23403
23404
23405
23406
23407
23408
23409
23410
23411
23412
23413
23414
23415
23416
23417
23418
23419
23420
23421
23422
23423
23424
23425
23426
23427
23428
23429
23430
23431
23432
23433
23434
23435
23436
23437
23438
23439
23440
23441
23442
23443
23444
23445
23446
23447
23448
23449
23450
23451
23452
23453
23454
23455
23456
23457
23458
23459
23460
23461
23462
23463
23464
23465
23466
23467
23468
23469
23470
23471
23472
23473
23474
23475
23476
23477
23478
23479
23480
23481
23482
23483
23484
23485
23486
23487
23488
23489
23490
23491
23492
23493
23494
23495
23496
23497
23498
23499
23500
23501
23502
23503
23504
23505
23506
23507
23508
23509
23510
23511
23512
23513
23514
23515
23516
23517
23518
23519
23520
23521
23522
23523
23524
23525
23526
23527
23528
23529
23530
23531
23532
23533
23534
23535
23536
23537
23538
23539
23540
23541
23542
23543
23544
23545
23546
23547
23548
23549
23550
23551
23552
23553
23554
23555
23556
23557
23558
23559
23560
23561
23562
23563
23564
23565
23566
23567
23568
23569
23570
23571
23572
23573
23574
23575
23576
23577
23578
23579
23580
23581
23582
23583
23584
23585
23586
23587
23588
23589
23590
23591
23592
23593
23594
23595
23596
23597
23598
23599
23600
23601
23602
23603
23604
23605
23606
23607
23608
23609
23610
23611
23612
23613
23614
23615
23616
23617
23618
23619
23620
23621
23622
23623
23624
23625
23626
23627
23628
23629
23630
23631
23632
23633
23634
23635
23636
23637
23638
23639
23640
23641
23642
23643
23644
23645
23646
23647
23648
23649
23650
23651
23652
23653
23654
23655
23656
23657
23658
23659
23660
23661
23662
23663
23664
23665
23666
23667
23668
23669
23670
23671
23672
23673
23674
23675
23676
23677
23678
23679
23680
23681
23682
23683
23684
23685
23686
23687
23688
23689
23690
23691
23692
23693
23694
23695
23696
23697
23698
23699
23700
23701
23702
23703
23704
23705
23706
23707
23708
23709
23710
23711
23712
23713
23714
23715
23716
23717
23718
23719
23720
23721
23722
23723
23724
23725
23726
23727
23728
23729
23730
23731
23732
23733
23734
23735
23736
23737
23738
23739
23740
23741
23742
23743
23744
23745
23746
23747
23748
23749
23750
23751
23752
23753
23754
23755
23756
23757
23758
23759
23760
23761
23762
23763
23764
23765
23766
23767
23768
23769
23770
23771
23772
23773
23774
23775
23776
23777
23778
23779
23780
23781
23782
23783
23784
23785
23786
23787
23788
23789
23790
23791
23792
23793
23794
23795
23796
23797
23798
23799
23800
23801
23802
23803
23804
23805
23806
23807
23808
23809
23810
23811
23812
23813
23814
23815
23816
23817
23818
23819
23820
23821
23822
23823
23824
23825
23826
23827
23828
23829
23830
23831
23832
23833
23834
23835
23836
23837
23838
23839
23840
23841
23842
23843
23844
23845
23846
23847
23848
23849
23850
23851
23852
23853
23854
23855
23856
23857
23858
23859
23860
23861
23862
23863
23864
23865
23866
23867
23868
23869
23870
23871
23872
23873
23874
23875
23876
23877
23878
23879
23880
23881
23882
23883
23884
23885
23886
23887
23888
23889
23890
23891
23892
23893
23894
23895
23896
23897
23898
23899
23900
23901
23902
23903
23904
23905
23906
23907
23908
23909
23910
23911
23912
23913
23914
23915
23916
23917
23918
23919
23920
23921
23922
23923
23924
23925
23926
23927
23928
23929
23930
23931
23932
23933
23934
23935
23936
23937
23938
23939
23940
23941
23942
23943
23944
23945
23946
23947
23948
23949
23950
23951
23952
23953
23954
23955
23956
23957
23958
23959
23960
23961
23962
23963
23964
23965
23966
23967
23968
23969
23970
23971
23972
23973
23974
23975
23976
23977
23978
23979
23980
23981
23982
23983
23984
23985
23986
23987
23988
23989
23990
23991
23992
23993
23994
23995
23996
23997
23998
23999
24000
24001
24002
24003
24004
24005
24006
24007
24008
24009
24010
24011
24012
24013
24014
24015
24016
24017
24018
24019
24020
24021
24022
24023
24024
24025
24026
24027
24028
24029
24030
24031
24032
24033
24034
24035
24036
24037
24038
24039
24040
24041
24042
24043
24044
24045
24046
24047
24048
24049
24050
24051
24052
24053
24054
24055
24056
24057
24058
24059
24060
24061
24062
24063
24064
24065
24066
24067
24068
24069
24070
24071
24072
24073
24074
24075
24076
24077
24078
24079
24080
24081
24082
24083
24084
24085
24086
24087
24088
24089
24090
24091
24092
24093
24094
24095
24096
24097
24098
24099
24100
24101
24102
24103
24104
24105
24106
24107
24108
24109
24110
24111
24112
24113
24114
24115
24116
24117
24118
24119
24120
24121
24122
24123
24124
24125
24126
24127
24128
24129
24130
24131
24132
24133
24134
24135
24136
24137
24138
24139
24140
24141
24142
24143
24144
24145
24146
24147
24148
24149
24150
24151
24152
24153
24154
24155
24156
24157
24158
24159
24160
24161
24162
24163
24164
24165
24166
24167
24168
24169
24170
24171
24172
24173
24174
24175
24176
24177
24178
24179
24180
24181
24182
24183
24184
24185
24186
24187
24188
24189
24190
24191
24192
24193
24194
24195
24196
24197
24198
24199
24200
24201
24202
24203
24204
24205
24206
24207
24208
24209
24210
24211
24212
24213
24214
24215
24216
24217
24218
24219
24220
24221
24222
24223
24224
24225
24226
24227
24228
24229
24230
24231
24232
24233
24234
24235
24236
24237
24238
24239
24240
24241
24242
24243
24244
24245
24246
24247
24248
24249
24250
24251
24252
24253
24254
24255
24256
24257
24258
24259
24260
24261
24262
24263
24264
24265
24266
24267
24268
24269
24270
24271
24272
24273
24274
24275
24276
24277
24278
24279
24280
24281
24282
24283
24284
24285
24286
24287
24288
24289
24290
24291
24292
24293
24294
24295
24296
24297
24298
24299
24300
24301
24302
24303
24304
24305
24306
24307
24308
24309
24310
24311
24312
24313
24314
24315
24316
24317
24318
24319
24320
24321
24322
24323
24324
24325
24326
24327
24328
24329
24330
24331
24332
24333
24334
24335
24336
24337
24338
24339
24340
24341
24342
24343
24344
24345
24346
24347
24348
24349
24350
24351
24352
24353
24354
24355
24356
24357
24358
24359
24360
24361
24362
24363
24364
24365
24366
24367
24368
24369
24370
24371
24372
24373
24374
24375
24376
24377
24378
24379
24380
24381
24382
24383
24384
24385
24386
24387
24388
24389
24390
24391
24392
24393
24394
24395
24396
24397
24398
24399
24400
24401
24402
24403
24404
24405
24406
24407
24408
24409
24410
24411
24412
24413
24414
24415
24416
24417
24418
24419
24420
24421
24422
24423
24424
24425
24426
24427
24428
24429
24430
24431
24432
24433
24434
24435
24436
24437
24438
24439
24440
24441
24442
24443
24444
24445
24446
24447
24448
24449
24450
24451
24452
24453
24454
24455
24456
24457
24458
24459
24460
24461
24462
24463
24464
24465
24466
24467
24468
24469
24470
24471
24472
24473
24474
24475
24476
24477
24478
24479
24480
24481
24482
24483
24484
24485
24486
24487
24488
24489
24490
24491
24492
24493
24494
24495
24496
24497
24498
24499
24500
24501
24502
24503
24504
24505
24506
24507
24508
24509
24510
24511
24512
24513
24514
24515
24516
24517
24518
24519
24520
24521
24522
24523
24524
24525
24526
24527
24528
24529
24530
24531
24532
24533
24534
24535
24536
24537
24538
24539
24540
24541
24542
24543
24544
24545
24546
24547
24548
24549
24550
24551
24552
24553
24554
24555
24556
24557
24558
24559
24560
24561
24562
24563
24564
24565
24566
24567
24568
24569
24570
24571
24572
24573
24574
24575
24576
24577
24578
24579
24580
24581
24582
24583
24584
24585
24586
24587
24588
24589
24590
24591
24592
24593
24594
24595
24596
24597
24598
24599
24600
24601
24602
24603
24604
24605
24606
24607
24608
24609
24610
24611
24612
24613
24614
24615
24616
24617
24618
24619
24620
24621
24622
24623
24624
24625
24626
24627
24628
24629
24630
24631
24632
24633
24634
24635
24636
24637
24638
24639
  {
   "cells": [
    {
     "cell_type": "code",
     "execution_count": 1,
     "metadata": {
      "collapsed": true,
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [],
     "source": [
      "import pandas
  ",
      "import shelve
  ",
      "import matplotlib
  ",
      "import matplotlib.pyplot as plt
  ",
      "import numpy as np
  ",
      "import itertools
  ",
      "import glob
  ",
      "from sklearn.metrics import precision_recall_fscore_support
  ",
      "import utils
  ",
      "import numpy as np"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 2,
     "metadata": {
      "collapsed": true,
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [],
     "source": [
      "%matplotlib inline"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 5,
     "metadata": {
      "collapsed": true,
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [],
     "source": [
      "def show_network_TRANS(scores,zero=10,unite=120,tailleu=100,title=\"Transform NEwtork\"):
  ",
      "    plt.figure(figsize=(20,10))
  ",
      "    plt.axes()
  ",
      "    plt.title(title)
  ",
      "    #zero=10
  ",
      "    #unite=200
  ",
      "    #tailleu=100
  ",
      "    inside=0
  ",
      "    rectangle = plt.Rectangle((zero, zero), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_SPARSE\" in scores:
  ",
      "        plt.text(zero+inside,zero+inside,scores[\"ASR_SPARSE\"],color=\"white\")
  ",
      "        #plt.text(zero+inside+60,zero+inside,\"0.58\",color=\"red\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero, zero+unite), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_AE_H1\" in scores:
  ",
      "        plt.text(zero+inside,zero+1*unite+inside,scores[\"ASR_AE_H1\"],color=\"white\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero, zero+2*unite), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_AE_H2\" in scores:
  ",
      "        plt.text(zero+inside,zero+2*unite+inside,scores[\"ASR_AE_H2\"],color=\"white\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero, zero+3*unite), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_AE_OUT\" in scores:
  ",
      "        plt.text(zero+inside,zero+3*unite+inside,scores[\"ASR_AE_OUT\"],color=\"white\")
  ",
      " 
  ",
      "    
  ",
      "    rectangle = plt.Rectangle((zero+3*unite, zero), tailleu, tailleu, fc='y')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"TRS_SPARSE\" in scores:
  ",
      "        plt.text(zero+3*unite+inside,zero+inside,scores[\"TRS_SPARSE\"],color=\"black\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero+3*unite, zero+1*unite), tailleu, tailleu, fc='y')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"TRS_AE_H1\" in scores:
  ",
      "        plt.text(zero+3*unite+inside,zero+1*unite+inside,scores[\"TRS_AE_H1\"],color=\"black\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero+3*unite, zero+2*unite), tailleu, tailleu, fc='y')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"TRS_AE_H2\" in scores:
  ",
      "        plt.text(zero+3*unite+inside,zero+2*unite+inside,scores[\"TRS_AE_H2\"],color=\"black\")
  ",
      "    if \"ASR_H1_TRANFORMED_TRSH2\" in scores:
  ",
      "        plt.text(zero+3*unite+tailleu/2,zero+2*unite+inside,scores[\"ASR_H1_TRANFORMED_TRSH2\"],color=\"red\")   
  ",
      "    if \"ASR_H2_TRANFORMED_TRSH2\" in scores:
  ",
      "        plt.text(zero+3*unite-tailleu/2,zero+2*unite+inside,scores[\"ASR_H2_TRANFORMED_TRSH2\"],color=\"green\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero+3*unite, zero+3*unite), tailleu, tailleu, fc='y')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"TRS_AE_OUT\" in scores:
  ",
      "        plt.text(zero+3*unite+inside,zero+3*unite+inside,scores[\"TRS_AE_OUT\"],color=\"black\")
  ",
      "    if \"ASR_H1_TRANFORMED_OUT\" in scores:
  ",
      "        plt.text(zero+3*unite+tailleu/2,zero+3*unite+inside,scores[\"ASR_H1_TRANFORMED_OUT\"],color=\"red\")
  ",
      "    if \"ASR_H2_TRANFORMED_OUT\" in scores:
  ",
      "        plt.text(zero+3*unite-tailleu/2,zero+3*unite+inside,scores[\"ASR_H2_TRANFORMED_OUT\"],color=\"green\")
  ",
      "
  ",
      "    rectangle = plt.Rectangle((zero+1*unite, zero+1*unite), tailleu, tailleu, fc='r')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_H1_TRANSFORMED_W1\" in scores:
  ",
      "        plt.text(zero+1*unite+inside,zero+1*unite+inside,scores[\"ASR_H1_TRANSFORMED_W1\"],color=\"black\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero+1*unite, zero+2*unite), tailleu, tailleu, fc='green')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_H2_TRANSFORMED_W1\" in scores:
  ",
      "        plt.text(zero+1*unite+inside,zero+2*unite+inside,scores[\"ASR_H2_TRANSFORMED_W1\"],color=\"white\")
  ",
      " 
  ",
      "
  ",
      "    rectangle = plt.Rectangle((zero+2*unite, zero+1*unite), tailleu, tailleu, fc='r')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_H1_TRANSFORMED_W2\" in scores:
  ",
      "        plt.text(zero+2*unite+inside,zero+1*unite+inside,scores[\"ASR_H1_TRANSFORMED_W2\"],color=\"black\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero+2*unite, zero+2*unite), tailleu, tailleu, fc='green')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_H2_TRANSFORMED_W2\" in scores:
  ",
      "        plt.text(zero+2*unite+inside,zero+2*unite+inside,scores[\"ASR_H2_TRANSFORMED_W2\"],color=\"white\")
  ",
      "
  ",
      "    plt.axis('scaled')
  ",
      "    plt.show()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 6,
     "metadata": {
      "collapsed": true,
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [],
     "source": [
      "
  ",
      "def show_network_RSPE(scores,zero=10,unite=120,tailleu=100,title=\"REAL SPE NEwtork\"):
  ",
      "    plt.figure(figsize=(20,10))
  ",
      "    plt.axes()
  ",
      "    plt.title(title)
  ",
      "    #zero=10
  ",
      "    #unite=200
  ",
      "    #tailleu=100
  ",
      "    inside=0
  ",
      "    rectangle = plt.Rectangle((zero, zero), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR\" in scores:
  ",
      "        plt.text(zero+inside,zero+inside,scores[\"ASR\"],color=\"white\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero, zero+unite), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_AE_H1\" in scores:
  ",
      "        plt.text(zero+inside,zero+1*unite+inside,scores[\"ASR_AE_H1\"],color=\"white\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero, zero+2*unite), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_AE_H2\" in scores:
  ",
      "        plt.text(zero+inside,zero+2*unite+inside,scores[\"ASR_AE_H2\"],color=\"white\")
  ",
      "    if \"ASR_AEH2_SPARSE\" in scores :
  ",
      "         plt.text(zero+inside,zero+2*unite+inside,scores[\"ASR_AEH2_SPARSE\"],color=\"white\")
  ",
      "    rectangle = plt.Rectangle((zero, zero+3*unite), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_AE_OUT\" in scores:
  ",
      "        plt.text(zero+inside,zero+3*unite+inside,scores[\"ASR_AE_OUT\"],color=\"white\")
  ",
      "    if \"ASR_AEOUT_SPARSE\" in scores :
  ",
      "         plt.text(zero+inside,zero+3*unite+inside,scores[\"ASR_AEOUT_SPARSE\"],color=\"white\")
  ",
      "    
  ",
      "   
  ",
      "    plt.axis('scaled')
  ",
      "    plt.show()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 7,
     "metadata": {
      "collapsed": true
     },
     "outputs": [],
     "source": [
      "#'', '', '', '', '', '', '', '', 'ASR_W1_TRANSFORMED', 'ASR_AE_H1']
  ",
      "
  ",
      "def show_network_UNFIXED(scores,zero=10,unite=120,tailleu=100,title=\"Transform NEwtork\"):
  ",
      "    plt.figure(figsize=(20,10))
  ",
      "    plt.axes()
  ",
      "    plt.title(title)
  ",
      "    #zero=10
  ",
      "    #unite=200
  ",
      "    #tailleu=100
  ",
      "    inside=0
  ",
      "    rectangle = plt.Rectangle((zero, zero), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_SPARSE\" in scores:
  ",
      "        plt.text(zero+inside,zero+inside,scores[\"ASR_SPARSE\"],color=\"white\")
  ",
      "        #plt.text(zero+inside+60,zero+inside,\"0.58\",color=\"red\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero, zero+unite), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_AE_H1\" in scores:
  ",
      "        plt.text(zero+inside,zero+1*unite+inside,scores[\"ASR_AE_H1\"],color=\"white\")
  ",
      "    if \"ASR_H1_TRANSFORMED\" in scores:
  ",
      "        plt.text(zero+inside+tailleu,zero+1*unite+inside,scores[\"ASR_H1_TRANSFORMED\"],color=\"green\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero, zero+2*unite), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_AE_OUT\" in scores:
  ",
      "        plt.text(zero+inside,zero+2*unite+inside,scores[\"ASR_AE_OUT\"],color=\"white\")
  ",
      "
  ",
      "    
  ",
      "    rectangle = plt.Rectangle((zero+3*unite, zero), tailleu, tailleu, fc='y')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"TRS_SPARSE\" in scores:
  ",
      "        plt.text(zero+3*unite+inside,zero+inside,scores[\"TRS_SPARSE\"],color=\"black\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero+3*unite, zero+1*unite), tailleu, tailleu, fc='y')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"TRS_AE_H1\" in scores:
  ",
      "        plt.text(zero+3*unite+inside,zero+1*unite+inside,scores[\"TRS_AE_H1\"],color=\"black\")
  ",
      "    if \"ASR_H2_TRANSFORMED\" in scores:
  ",
      "        plt.text(zero+3*unite+inside-tailleu,zero+1*unite+inside,scores[\"ASR_H2_TRANSFORMED\"],color=\"green\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero+3*unite, zero+2*unite), tailleu, tailleu, fc='y')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"TRS_AE_OUT\" in scores:
  ",
      "        plt.text(zero+3*unite+inside,zero+2*unite+inside,scores[\"TRS_AE_OUT\"],color=\"black\")
  ",
      "    if \"ASR_TRANFORMED_OUT\" in scores:
  ",
      "        plt.text(zero+3*unite+inside-tailleu,zero+2*unite+inside,scores[\"ASR_TRANFORMED_OUT\"],color=\"green\")
  ",
      " 
  ",
      "
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero+1*unite, zero+1*unite), tailleu, tailleu, fc='green')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_W1_TRANSFORMED\" in scores:
  ",
      "        plt.text(zero+1*unite+inside,zero+1*unite+inside,scores[\"ASR_W1_TRANSFORMED\"],color=\"white\")
  ",
      "
  ",
      "
  ",
      "    plt.axis('scaled')
  ",
      "    plt.show()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 8,
     "metadata": {
      "collapsed": true,
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [],
     "source": [
      "#['ASR_H1_TRANFORMED_OUT', 'ASR_H2_TRANFORMED_OUT', 'TRS_AE_OUT', 'TRS_SPARSE', 'ASR_SPARSE']
  ",
      "def show_network_RAW(scores,zero=10,unite=120,tailleu=100,title=\"RAW NEwtork\"):
  ",
      "    plt.figure(figsize=(20,10))
  ",
      "    plt.axes()
  ",
      "    plt.title(title)
  ",
      "    #zero=10
  ",
      "    #unite=200
  ",
      "    #tailleu=100
  ",
      "    inside=0
  ",
      "    rectangle = plt.Rectangle((zero, zero), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"SPARSE\" in scores:
  ",
      "        plt.text(zero+inside,zero+inside,scores[\"ASR\"],color=\"white\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero, zero+unite), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_AE_H1\" in scores:
  ",
      "        plt.text(zero+inside,zero+1*unite+inside,scores[\"ASR_AE_H1\"],color=\"white\")
  ",
      " 
  ",
      "    rectangle = plt.Rectangle((zero, zero+2*unite), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_AE_H2\" in scores:
  ",
      "        plt.text(zero+inside,zero+2*unite+inside,scores[\"ASR_AE_H2\"],color=\"white\")
  ",
      "    if \"ASR_AEH2_SPARSE\" in scores :
  ",
      "         plt.text(zero+inside,zero+2*unite+inside,scores[\"ASR_AEH2_SPARSE\"],color=\"white\")
  ",
      "    rectangle = plt.Rectangle((zero, zero+3*unite), tailleu, tailleu, fc='b')
  ",
      "    plt.gca().add_patch(rectangle)
  ",
      "    if \"ASR_AE_OUT\" in scores:
  ",
      "        plt.text(zero+inside,zero+3*unite+inside,scores[\"ASR_AE_OUT\"],color=\"white\")
  ",
      "    if \"ASR_AEOUT_SPARSE\" in scores :
  ",
      "         plt.text(zero+inside,zero+3*unite+inside,scores[\"ASR_AEOUT_SPARSE\"],color=\"white\")
  ",
      "    
  ",
      "   
  ",
      "    plt.axis('scaled')
  ",
      "    plt.show()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 152,
     "metadata": {
      "collapsed": false,
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "outputs": [
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "scores/DECODA_MINIAE_TANH_H50_DO.shelve
  "
       ]
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd4FFUXB+DfTSONJARCC5DQe1U6SARp0osKFmwoCqj4
  CYIoEEC6iihIkyZKkWoAKVIiRUqAEDqEQAIJENJ73T3fHyebTULKStYsSc77PPtkZ+buzN27m7N3
  bplRRAQhhBDFk5mpMyCEEOLJSRAXQohiTIK4EEIUYxLEhRCiGJMgLoQQxZgEcSGEKMYMCuJKqV5K
  qetKqZtKqYm5bHdSSm1XSvkppU4ppRoZP6tCCCFyKjCIK6XMACwG0BNAYwDDlVINciSbDMCXiJoD
  eBPAD8bOqBBCiMcZUhNvA8CfiIKIKA3AJgADcqRpBOAwABDRDQDuSikXo+ZUCCHEYwwJ4q4A7mVZ
  Ds5Yl5UfgMEAoJRqA6AGgGrGyKAQQoi8Gatjcy6Ackqp8wDGAPAFoDHSvoUQQuTBwoA0IeCatU61
  jHWZiCgOwDu6ZaXUHQC3c+5IKSUXahFCiCdARCq39YbUxH0A1FFKuSmlrAAMA+CVNYFSylEpZZnx
  /D0AfxNRfB4ZkQcRpk2bZvI8PC0PKQspCymP/B/5KbAmTkQapdRYAAcygv4qIrqmlBrFm2kFgIYA
  1imltACuAHi3oP0KIYQoPEOaU0BE+wDUz7FueZbnp3JuF/mLjQUePADCwoBmzXJP4+cHNGkCmJtn
  X3/2LJCYCHTuDPj6Aq1aFS4v168Dt28D9esDFSoAjo7ZtwcGAtbWQEQE0Lhx4Y4lhDAumbFpIrdv
  e2DUKOCVV/JOM2wYcOrU4+sHDQK6dAGuXQOeew4o4GyrQF9+CfTpA4weDWze/Pj2mjWBKlWAd/+j
  8ysPD4//ZsfFkJRFdlIeBZMgnod9+7imfPgw/9U5eBC4ezf316xdCxw7BgQE8PIvvwDp6cCWLUBq
  qj7dr78CCQkeuHMHePhQv/6334ANG4CEBA6m4eFcCwa4tvzPP8DGjfqaua8vp330iF8HALduAX//
  nXv+Dh3KfrwjR4CQED4rAIALF7Jvzym/bYUh/6h6UhbZSXkYoIgb56k4SEsjAoimTSOqWpXos894
  vUZD5OZGtGDB46+5dIlfU7Mm0TffEN28yctbt/Lfbds4XVAQkVJE5uZE9va8LTmZKDSUyNGRHx9/
  zOvNzIhmzeLXDRzI6wCi8uX573vv8d8NG4isrIi0WqKpU4kaNeLnOd9T5cpEEybo1/XvT7R0KdGz
  zxKVKcP7Gj368fdWtixvs7Z+fL9CiP9eRuzMNa4a1CZe0vn4ALNmAfPnA/Xqce0b4Fq3uTnXkOfO
  BU6cAIKCgG3bgLJlAQ8PYOJEbkPWtSPfuQOcPMmvAYAvvgBq1ADWrwfOnQM0Gg7FGg0QnzF+5+JF
  4LPPgH79eNsPGRct0Go5T5UqcZ6cnIDoaH5Ur841aVtbrnmnpvJ6Pz/g6lVg5Upg927AxQX4+Wd+
  L1ZWfBYwaxYwaRIQFcU1/ehobg+/eJFr22vXAk2b8vt99lluJ4+LA1JSuNaue687dwLOztykAwB7
  9nB+nn++CD40IQTLK7r/Fw88pTXxQYOInJyIfvyRl6dN41orQDRxIlHbtkR//kn0zjtEw4fz+rJl
  iUaMIHr/faL27bnWPGyYvsbq4cG1YoBoxw4iZ2eugSul34fuMWgQP6KiiCIjif76i6hcuexpWrQg
  unOHyMGByMaGqHVrXt+zJ1GDBvz82jUid3fev1Jc63Z2Jrp/n9ctXsxnFkuWcHp3d86ziwvRSy/x
  urZt+b3Pn8/Lw4Zxzf/vv4nq1CG6cUNfbsOHZ6+5v/km0eefF+EHJ0QpgXxq4qUuiI8ezU0UU6YQ
  9e1LFB/PzRpz5nAwnDaNmy7ef1/fVLF4MdGrr3JTx+3b/LddO26CCAwk2rSJA/nevRxgAQ5mhw8T
  NW3KTRDlyhHZ2hI1bkx08qQ+HcAB98SJ7Pls2FDfjGFuTtSrF6+vXZuoShVeBojmztXvx8uLj3Hz
  JlGFCvyj0LUrN5c4OhKFhxP17s1BW9dc064dkaUl0Zdf8rJSvK19e/77zjt8/LQ0oo4dOZjrdOjA
  63Q8PPjxzjsFfw7vvss/SlFRREOG6Ne/8QaX0b9x7Bh/bidO8PswxLffEu3apV9etIh/bEuipUuJ
  tmwxdS5EYUgQz6JmTQ50trb87k+f5uB9/Dgv29tzkNy9m5evXCG6cIHT16nD+0hI4HbssDD9flNS
  OFj/8w+/bskSXk5M5O0eHkRvvcXpiHifuuBbp87jbc3PP0/UowfRwYOc5s03eX3r1hzgX3uNqGJF
  ooAA/X4mT+b2cF1+iIg+/ZR/MEJCeHniRG4/r1mTX+PoyGcOK1bwfgEO+ubmXA7PPMNpiIgGDyZa
  s0afx6pV+YdGo+GHuzu/zs2Nt2s0RHFxuX8OFSsSHThAdPmy/kdCoyGqXp3zkJ5u2Oep0RD98AOX
  708/EbVpY9jr+vTh8tLp2pV/CAyl1fKxi4PXXzf8DKm4vCdDabV5fweLk/yCeKkanaLRAPfu8Rjr
  xERed/Qo4O4ONG8OPPMMD7WztQW6dgXatOE28oYNgbQ0oEULfo2tLVCmDLcV61hZAUrxvgD+qxRg
  Y8PLPXrwPq2seLlKFf7bti0wdiynzapyZaB8eR7ep1sGeJ2jI/91dwdq1eJ8NG8OnDmjP77uOB4e
  PDSwalX98ttvA7Vr83JMDGBpyeO/u3Xj9/zJJ1xWXbrwCBhnZ07bogW/duRI4KefePSMnR2Xab16
  3L6u0fB4cgCYOZP7Dm7dyv7eEhN5RE1EBLfHazTc5l+/Pre9m5np95GfH34A7O2B0FB+PHyoH81T
  kMBAfVoi7ksw5Jg6333H/SHFga58DNGhA4+CKim+/Za/gxcumDonep9/DqxaZbz9lZqOzZAQHu6X
  ns7Luk7Cv/8G3Nw4GJw9m/01p0/rnzdsyIGyIC4uHJDd3LKv/+KL7Mu6zsGvvgL69n18P5UqcV4r
  VdIvAxy8dX91xwgLA77+mjtBX389+3769+eHTq9e/HjlFcDBgTtE4+L4n7dDB07j68t/n3sO2LSJ
  ywYApkzh4ZLe3kBSEv8wVKvG5aYbVglwh+3t2/ryCwnhyUKurtzxe/Mmr4+I4H8wAJgxg4O9pSWX
  9Zkz/EPTsCFvf/iQf6wssnxj79/nfPj58fbQUP5xSErS/3iGh3P+ra31ryPiDmonJ/1+IiLyD+JR
  UcCVK/zc0pJ/ADZvBmbP5uWnhVbL5aCrJABcNmYGVNeI+D2uXq3/LhiDrkPcxUgXpw4O5v8fS8vs
  n2tu7tzhvz4++kqYKWg0/N2sUoW/e2ZmPHQ56+f0pEpNTbxPH2DePB518eGHPBrk+ef1Qbwg77wD
  9O5dcDoLC95/rVr5pytThr+AukCS0wsvcM3dzo6DUNaauJMT0KkTMCDLVd3r1eNgbMh7ybqf3NLr
  jtWwITBwIDBkSPZtAQFcs6lenV//xx8coF97TX9GUbs2sHcv/+NERPAPwp49/IOlK8eICD4TAHgk
  jJ0d/1hVrszvrUkT/Y/uG2/wcbIKD+e/e/ZwkNWN3w8K0qdxcQGmTcv+ushIHl+vS+fnxwEhvyC+
  YAHnYdIk/myOHOHj79uX92tM4fBhYPDg7Ot0ZykFiYri8t6+nX8IjWX7dp5IZizVq/NZ2+efF5w2
  NBRo354/Y1NavVp/NhwRwRWAATnvyvCESkUQT0nhGsby5dxs8NNPXAN+4QUOfLomiPx88gk3txhi
  yRJ9TTA/Tk55B/E+fXhmJsCBTVcTd3bm13TtykFTR1eb19WaC5JfENedTbi7Azt2ZA+CunzcvMm1
  CHd3Dq6DBvHwRd2ZAsBBuWVLrpXfucNDF3U1I4B/CHx8+HmLFvzPpgviRPzc35+3h4TozxDCw4FL
  l7g23LWrfsbqxYv8/nXBWddcovshiIvjGbBBQUCjRvwPnprK/+Dt2/MxTpwAkpN50tY///Brjx7l
  WtMXXwDHjwMdOwI3bvA/4bp1BZe1VstBH+BgqqvR/xcCAri8ddLT+Uwtv+aU27f5LCgwkCsDrVs/
  /oNZGKGhXLbGoPssQ0N54tvVq5z348f5c9LkuAD2w4dAz57/rjnl5En+rhiTLl/p6RzEAwOzf06F
  USqC+NWrHGwmTOA2XZ0BA7g9WjfOuajNnAnUqVNwuqlT9T8gAwcCr776eBpbWw6iWWvN+dEF8Z9+
  ArZuzb7NwgL48Ueu8eSkq6Xrmnrc3PhUuXNnXj9nDue1bFng+++5CeTIEX6fu3ZxkD11CnjvPf6B
  +P57bt755hveV+XKvN86dfiUXvfP9/Ch/vn27YCnJwdjXVNR+fIcKFq31gfvgwf5r27G7fr1HKwP
  HuS+CDc3DgAXLvCPwZUrwIgRwF9/8Y9oly6c56FD+YxN9wOla+p69VX+hy/I1at89qHVch6+/LLg
  1zypoCA+bdf1+YSH8+ccHv54gNP55htg/Hh+rbs78OabPNvYWCIijDfbNzyc526sX89nfy+9BLz1
  Fn9uL7/8eI07NJTPuK9fN2z/6elcIfHyKjjtv6Gbse3vrz/ji4jgM8LCKvFBfN06/qds04Yn7PTo
  od/WuDEHK9ec9ykqIiNHFtymB/AXVNeG3ry5PmDm9Npr+iBbEF0Hae3auQf+MWMev/AWkH3/us5X
  QB9MR47kdvLmzfl5+fJcQ3rhBT6LcHPjAJr1VNLDgztV3d31NfHmzfnxww9ce4+K4mBLxF/+Bw+4
  Q1V33CZN+G+bNtxmP3YsT0YaOJCD0549PNkK4Pb3N97g/fv56YM4wLWj48e5JuboyGdvYWH8w6B7
  r7oyaNyYt61ezc1Ca9dykElM5FP9v/7is4PvvuOzwUePOC9+fhxU9u837LMCuBy0Wv2ypyf/aOek
  OwsZPx44cICbe1xdOZD//vvj/T4rV/L73bMHWLiQP5+BA/nHycvr8Us4rF9vWCfp5s18mYcxY7jc
  Q0O5DMeOzd7RvXev/mwL4DL58MPsZziLF/PZEcA/Bo0b8w9oy5b8A3nmDDel5daB+/AhX2AuPj7v
  gJmaqp9gd/Ag78MYzS/79/MZG6AP3BcucHOeTtamv6NH9f1IsbH8vTJIXsNW/osHTDDEsEoVHlK3
  enWRH/qpFhXFwxz/rfXriSwseBjgzz8TJSXxOO2s3nmHh7UREa1cyWmXLuWJSbox4SdP6odGLlvG
  60JCiK5f58lJ167xcqdORJ6ePJyxdm0iHx++DIK9PQ9TJOLx+GfOEG3cSLRuHY91143DX7OGvwM1
  a/L6UaN47L9GQzRzJl96oEoV/aUWAD7WjBlEZ8/qx80DRH5+fLxvv+XlyEge/29vz8Ml3d15ktT6
  9Xz8QYOIxo/Xv/7kSR7aCBB98UX28fEFfVYA0a1bvBwezssNGz6etkMH/fGaNSOqVo3z0b+/fvho
  Vrq027fzEM2bN3n922/z/83LL2dPX706l01+kpN5nxUq6PcP8OQ4GxsuI53+/fWT7LRa/ow//pio
  bl1eFx/Pn8Hmzby8bx9R9+78fOHC7PsHsv+fx8frLxVRrx4PF87NmTP64cRffMFl1KNH/u+xIFot
  f+feeIOXx4zhz2vgQB5SCxDZ2RHt2aN/jW5eCBH/Tzk56YceozROu4+O5rawR4+4tjt0qKlzZHwp
  6SmwMreCyjk+0YDt+bXH58fVFWjQALh8mWuk1tbcyZpVpUr6ERu62mvz5lxb0rVpZm27151l6Dp+
  AH2v/cCBfJkDXWfnK69wjT4+ntu1Af00/9atuTZDxE1nc+ZwM8a773IbPxEv684CWrbkETeff64f
  9dKqFXD+PJ+dNGzI+dd1oGatiZuZcb4rV+arSQYE8JnBunWc90mT+Hl8PKd1cOBaV1AQP9+1i/sM
  3nsPWLGCa2De3lxzW7oU+OAD7oTv2FHfv+Lnx2dOfn58xnHxIjchNGwITJ/Oterz5wFL6zSkpZjh
  0iVzEPEZUdOmXLOukeUeXbqaaY0a+v4XHV2TStYaaWQkjwz57Tcut5yOHePvha4ZTjf6SNe+vGkT
  9yssXsxlGhnJTWBHjnBeunblz+Gbb/i9jBrFn4NSXJbLlnE+dWdCrVrpR5npZK2JBwdzWl3/zksv
  ce34hx/4DKpSJc6zjQ2fdQ4Zwn9HjeJRRzlNmMDfn65d+Yxm3Dj+TpmZ8VDG1q05f61b85klEZf5
  /PncdPjFF7wPFxdu2nr2WT4r+fVXfcfnjRucN93w23v3sn9mucoruv8XDxRhTfzsWf5Ve+657JNy
  SpK2K9vS8aDjuW6LT4mn3r/2pr3+e416TI2Ga8oWFlwrzk1MDFFsLD/39uaaVFwcr4uJ0acLDuba
  2t5cshifEk9arZb++os/xxdf5NqyrkYJ8KUCcgoMJAK0dOR4At27x+suXyY6epRf4+urT5uWxrVj
  3cSo4GCu5fr46GtA3brpj5eUxOsOHuR8E/EkI4BrXLoav5MT1wJtbXlW7/GTyfTppzy7tmxZoqHD
  kgngmi7Ax/3qK/1xFizgv05OfNmDP/7g5SlT+Jjffcc1u2bNePZtjRq8vmtXnrT11tYPqPXYHzL3
  t2MHvx8vr+yToa5c4Rqvrpxyun+fa84JCbx85AjP8LW357ODnPr25XKZMYMv9wDwuqyXojh3LnvN
  2cqKH3XqcC16xAjeV6tWvL11a6LBLydnXizupZf47IaI31NQENdsdReF++QTfX7mzOGZ10Rcs9bN
  cHZ25rMmBwc+e9OtHzOGnwcEcH5171sH4DMFIj4LePllniT41Vf8nL97XKYLF/LscN37B/h7PmQI
  z0gOCeGzn+ee4+9MxYqcpnp1Trd6NREs48nLS3fsvGviJbZN/NEj/tu2bfZJOcVZQqq+US8+NR4+
  931wNexqtu1EhDtRd1BtYTWcCTmTbTsAaLQaxKc+fuc8IkJiWmK+x09MS4SZGdc069YFXKomIVWT
  +lg6Bwf9+O/q1bkWbm/P6xwc9OmcKyahSZPc+yR6/NoD+wP2o2VLXnZz41pa1htgVHaLfex1rq6A
  /YDJ6HHYCdWq8brGjbmTtFo1/eQpgPfXrp1+YpSrK9e2n31WP1SyfXuusdvaAhozLv+aNR+fhPX3
  31zbGzWK+zDs7LiDt1w5oNN+a1ytMhkHD/IxfZo8B3Scl9nZ5ecH+Pqlo0LVeDg78wXKbGyAmMQk
  /LmXcPEi18bmzOHymziRa+Lt2nGNODKS+wz8/HiU0skHR6CpeA7KJgY1a3I+lOK/Z84AFStybV/X
  kakrp5xcKqWjactkdO7MfRCDBvExmzThtvb27fUjgx494lpttWpca+7Shdfr/j77LJ8R6M6edFJT
  +XHrFtfidaOl2rXj9+Jz+wa2N7LGgDcDAXBbve4sTSkul8aNgT6DY9GyJbBoEdewr17lPoCBr/B3
  RDe5be5cPisfPZo/p2HDuObcqRPwv//x97VmTf579iyXT7ly3L5vZ8dnXB98AKxZw59Bx47Ap59y
  W3qPHkD37nwGcOIEf+9HjdKPjy9fnsugRg2udb/4IvfBVKjA+QD4Inh+foDfo/PAyHaGtc3nFd3/
  iweKsCau+1V/mi+dqtVq6VrYNUpNT6XwhPA804UlhNHJeyfJZb4LeV33ooTUBDoYcJDgCZr410SK
  TY6lyMRIqvZdNdp8eTPNOTaH4AmCJ2j07uzXll18ejH139ifNFoNxSbHZq5f47uGai2qRXEpuc9R
  /uP6HwRPUERiBBERxaXE0ahdo2jywcmPpU1ITaDE1MQs71O/LTwhnLRaLf187meCZ+7fh4TUBLKY
  YUHj94+nuJQ4uh8ZlTkNf+1arrHYVwyjMtPtKSktKfN1Mclcza8wvwLBE5SuSaeoJH2VMed3QavV
  Zr5G955y0mq5vbtKgyBymutEBwMOUlJaUubrxo3TXypg+PDs0/FTU4nCY+MInqAyM8sQzNJo8Hs3
  yGmWC2GSA5nZRhNANG5iDDn1Wkh91rxCkydzDX70pzFk/15/qjPmf+RcJYbmzE2n2Fii6GgtBYfF
  8nTy5HhKSUulNs9F0pIlXJt7FB9G8ARZTi9DVmOyX4NAo+F81qjBNcelS/lyxrnRarU0ZPMQenvH
  u9SyJV++oUvXFIpPTqS3P4wid3fe182bfA2cmTP5bOR//+P133/Pf3XtzTEx+vIPD9cSrOIea8+u
  V49o1Sp9uWu1RIM2vETwBK31/SXzEs179+o/67iUOPIJ8aHGSxrTgQO8vV8/orFjiayqXaY6i+pm
  7m/TjhgC+Bo7ialJFJsU/9j3Qve8e3e+zpDuwnGDB3MbdsWK+ss2b92qf11kJG+fNEl/FnH4RCyl
  pKfQvXv6Gj4RUWxyHCWnJRMR0f2oCEpN5XhVpQp/v4cPJ+r95c+EaWY06CX+fqM01sQfPtS3hxUV
  IkJUUlTmspa0CEsIyzP94jOL0WxpM7Rf1R4dV3dEaHz2rvWopChoSYtnVzyLkV4jUce5Dgb/Phij
  do/CwdsHUce5Dm5F3oLDXAeUn18edpZ2WHp2KZb4LEFb17YwV+a4FcVDAVI1qYhKisKGyxtwNOgo
  xu0bh74beXB5WEIYVvmugqWZJcYfGJ9rXk/cPQEAWHhyIe7G3EX1hdWx6fImbLi8ITPfiWmJuBR6
  CZ/s/QQzj87MXJ+cnoTEtERotBq0WN4Cp4JPYZo3Dz5PSE3AlUdX4PvAV/dDjzMhZ2BhZoFvTn6D
  hksawm1xRa6ZIKOmZhOJdi/9gxSKx43wG0jXpuPKoytwWeCC2cdmIyY5BmXMy2DL1S3o+WvPzPeg
  FBCdHJ159jD72Gy0X9UeYQlhSExLRPWF1XHi7gkkpydnviY2JQaoeAll+8yEQxkH9PqtF1y/c4Xj
  XEdEJkWiRetEDBzlhzp1CZ068THMzIA0TRquRvjBL/wMOlTvgNrOtdHnkwOIbz0Nb7V4G5WSPODQ
  bQladg3AT/HdEdNmAm7FX0DDjrfQbdxGrHRyQUrVQ4io+itiXm+EU+U+RtmywFyfyXhn31D4R95E
  2bn2aPNza9zt5oH587n/4FTwSbR1bYs0SoGmwkXcj7uf+V7MzIAajULx7bcZtX9foF49euw7mpSW
  hCOBR3A65DR23tiOV0ckY/FiILbdBNjPtcWvlStDU/4y3N35LKVDj1CsXcsjT1q0AKA0aNkuFr17
  83Lv3nwWpiUNYpJjsPXOSqg3eMaXtTWnr9s8HDdv6mvicamxiEqOxKGg/Zjy3BScCv4HLm48rCPe
  5TBqLqqJNb5r0OSnJjh3/xyuhV9DNfdkVGp6GZ6zE7B8TTzKtzyO29EBSNWk4kzIaXxw3R3PvL4D
  TZ+Jx+IzP+Kzvz5Fcnoy4lL1Z3S6eOHmxiNnXnszBY1e8MHufwKg1XKNPSVFnwYAIpMiYeeQio8/
  5lFY/frx2crP98di1flVcHXlsi/jGIOU9BSUn++Mj/Z+BCJC85UNcDvmBjp35mGtTZvyGcm9lMuA
  0uJcUMFjI0tsx2ZoqOGzFw2Vrk1HbEosnG2cc92+/dp2DN0yFD7v+aCOcx0cDTqKad7T4DvKFzHJ
  MbA0t0R8ajxcbF0QHBsMz789se3lbei/qT8UFJota4bNQzejjWsbJKYlwmWBC3rW7omyZcri0oeX
  EJYQhnH7x2HXjV1wKOOAqV2m4sczPwIAetftjVX9V2HEjhEY9cwodKrRCduubsPeW3sRGh+KHdd3
  YPGZxXgY/xCOZRyx9epWJKcn43Twacw8OhMA8Pdbf6Pp0qZ4q8Vb0Gj1g4rdndxx4t4JzO46G18d
  +Qqzj8+GlrSwt7JHu2rt0G5VOwR8HIDRe0Zj0+VNSNOmwd7KHhsubcDRt4/i7T/eRu1ytfFa09cQ
  HBuMpWeXwsnaCQ5lHDDj7xlYc2ENrMyt8GrTVzGg/gAsOr0IH7X5CJcfXUZNp5qwMrfCiB0jcPb9
  s7hjcQT4bCBcW70GXAQuP7qM5eeWY/m55WheqTm8bnjBa7gXhvw+BH/6/4kzIWcQEBmA2s61kZye
  jM5rOqNBhQaY4TED8/+ZD3sre1T+tjJeavQSopOj0WlNJ4xpPQZTu0xFRbuK+PLwl1h+bjngCPw9
  5G+s9l0NLWmx5sIa1FxUE3aWdkgwT8DHyz7Gqx0+w/24RFQtWxVTjkzBvBPz0LRiU/St1xfXwq9h
  Z1gf9LXvi69fmIoBjXzQd9HnuOG8AI7WluhZZxi2XNmCD/1aolHNRmiiaYy41Dgs7bMUu27swm+X
  fsOGSx2x4vwKEBFaLm8JZxtn+IXy+fbF05eQmJaIjZcPoXed3mjs0hi7/XfD7Xs3+H3gB1tLW1iY
  WSDprVZwabUDgSGtEPq7DT7btBQ1F32Oix9eRHmb8rgZcRPrL67HEp8lmNZlGg7fOYwKDfdBqx2I
  NMfrcLVwxQu1XoCm6TyUP/EzNh09h5iB3XFqzDXci7kHJJgBHb0x/Zo39u7aBZ/7Z/HNOico1Qif
  7P0EwbHBiEqOAlU7AavKt1CvpgMu2n0L/07zgTv34OZWDffj7mP0ntE4E3IGPWr3wOCGgzFw00CE
  JvwKh47LcTnuJizNLDFy10hoSYsV51dAS1rsfvQjol+eggnnO6L8kBZ4WPMHEGkx9chUrLmwBs0q
  N8Xx1KH4cM9wlDEvgxP3TqDPhj64FXkLZ987Cxc7/XUBnGoEw9W1Gu6WW4vpu6Yh/Z0UlD+4B82b
  d8CxY9z5qIsvgzcPxmtNX8Ps2e8hVZMK23rnMPHLFvBYdx1lrW2gFJCYkoK2P3dBDccaSNOmISo5
  Cmfvn0VYYhiO3T2Gka3qY+VKbhYLCgKs6TLszcrjgeYyLl7M/3oBSlf7KQpKKSqq4w0bxmOIc5sY
  86Q+3P0hAmMCsfc1Dow2ljaIS4lDTEoM7K3sse7COkz/ezqcbZwRlhgGBf5Zj54UjR7re+B0yGnU
  cKyBNQPWoNsv3eDh7oEjbx7B+APjseXqFtyNuQt7K3vUcKyBuzF3EZ8aj+fdn8f7z7yPYU2GZeZj
  0sFJeBiz04yiAAAgAElEQVT/ED/2/hEuC1xQ0a4i7n76+D3jUjWpKDevHBpUaIDg2GA8SniE91u9
  j0YujdCsUjNceHgB07ynQUMaBHwcgMr2lTH2z7H4yecntHZtDQszCxAR/CP9YabMEPBxACYcmAAX
  OxdUtq+MkNgQzOo2C01+aoJFvRZh6Jah2PbyNmy/th1Lzy6FlrQoa1UWPWr3gHegNwbUH4ADtw8g
  JDYEM5+fiZPBJ7HHfw9OjzyNKvZV8I7XO0hM4yC4ftB6WFvwIHoiwstbX4a7ozv2BxxA8MNExJrf
  wYt1X0RYYhgexD3AsCbDMLTRUDxb9VkAQIPFDXA76jY61egEVwdXLOy5EF8d/goP4h/AwswCu27s
  Qu+6vTGg/gCExIbg0J1DGN5kOKYcmQICITwxHIdGHMK4fePwWfvPcCXsCuZ3n59ZtkN+H4KLoRfx
  vPvzGN9hPN7+423ciryF6ORo+Lzng34b+2FIwyFYeGohzr9/HtHJ0Th29ximdpmauY+lS4EyTfYh
  qUwAxrQZg6ZLm6Jj9Y5Y1ncZTgefxol7J/C/9v8DAHyw+wOsOLcC217ehne93kW98vWwcchG1Pqh
  FjzcPXA17CpSNamITo7GgdcPoHvt7ui3sR9239yN73t+n/k5x6fGw97KHnUTRqC/xRKsdqyB1q6t
  4VrWFWXMy2DR6UXQkAbDmgzD7K6zse/WPuy8sROtgtZhsaqHWx/7IzwxHC9ueBHtHYdgY9C3AAB7
  K3s0qNAAkYmRuB11Bxbm5nix7ou4Hn4d4YnhGPXMKCw+sxhO1k4ITwyH/a23EVdtK6ytLJCqSUOi
  CoO51hrL+v2EUX+OhLWFNYY0HIK5L8xFFfsqqLe4Hsy0VgiJDkPdyq6Y+txU7L21Fy62Lph9fDYq
  2FZAmiYNU7tMxTq/dbgZFoBkbQIUFAgE31G+cC3rigl/TcDO6ztRr3w9+Nz3yfwsLM0s8c+7/6CC
  LXeg1fuxPr6vdh8BVWejkn0leK2ti7PlJuDIKxdw5nwS7vk7Y8E8c5wKPomOqzvi9WavY0H3Bdjj
  vwfver2L73t+j5lHZ6JBhQbY/sp2eAd647uT36G6Y3XcjrqNa2HXkKJJgZa0eLvF21g9YHXGdx1w
  cE5B0ugqeL3OJzgceBgx69YiNqgWiCj3doW82ln+iwf+wzbx3bv1vcnXrnGv+qFDuaeNTY6lB3EP
  CtxncloyBccE052oO7TXfy9VmF+Bqn5blYiIBm4aSI2XNCZ4guxn21PlbyrT82ufp1/9fqVz989R
  /R/rZ7ZL77+1n2osrEGdV3emWotq0StbXiHrr63pz5t/Zh7r1W2vkt0su8zXmE03o34b+hWYx74b
  +lLvX3vnub39z+0z9zl482C6+PBitu2jdo2iWotqZS5fDr1M045My5Zm0alFtPvG7jyPsfDkQio/
  rzz139g/c934/eOpw6oO1GFVByIi6vVrL1KeipafXU7wBPlH+NMzy5/Js108p7CEMKryTRWq+m1V
  +ufuP/TNiW/oTPAZ6rauW64jdCxmWBA8QVFJUVT5m8pU94e65LHWgx7FPyIi7hvwvuP92OsuPLhA
  8ARVWlCJHOY4EDxBqempj6Xzuu5FW67oL9Kt1Wrpf/v+R2P2jKG6P9SlRksaUXRSNH22/zPSGtgx
  s/DkQvJ94JvrtosPL9IMbx6g3Xl1Z/p036ek1Wrpw90fUmRiJL3n9R4FRQfRWzvfovgUbuvdcHED
  Dd48mCouqEjdf+lOzZc2J7tZdqQ8FbnMd6EzwWfIbpYdHQs6Rq2Wt6K2K9vSWt+1NOGA/h5+EYkR
  1P2X7lR+Xnlqu7ItERFptBpynudMLZa1oIaLG1LP9T3JbaEbabVaCk8Ip9G7R9P84/Np6O9DKS4l
  jo7cOULd1nWjff77CJ6gFstaUK/+cdRx3kiacngKDdw0MPM7qjwVTT08leYem5vt/f/q9ysdvn2Y
  lvkso57re1J0UjQREaVp0uitnW/RynMrqc9vfSg0PpS+++c7sphhQR/9+RE5zXV67DvW/ZfuBE9Q
  6xWtM49r87UNlZ9Xnsymm9Ho3aMJnqCvDn1FfTf0pa1XttLs2USVP+1Hq8+vpmdXPEvfn/yeAqMC
  qezssvTBrg+o+nfVyW2hG9nOsqXWK1rTC7+8QJYzLMlxjiMN2zqMaiysQWP3jCUiohvhNzKP23dD
  X6owvwLt899HD+MeUlRSFLn12El4qwud802nkX+MJMsvK+TbJl5ignjdujyxhIiHGfXtSxQdnXva
  Gd4z6O2db2cuXw69nGu62Udnk+McR4InqNnSZvT75d+p7OyyFJEYQbUW1coMFK9te40m/jWR4Am6
  8IBn0DyIe0DwBHVb140+2PUBOc11Io1WQ1///TXBE7T49OJsx9p1Yxetu7COJh+cTDP/nkmrzq+i
  ndd2Fvi+j9w5Qhsubshz+/j946ns7LIET9D92PuPbfd76Ec/nv6xwOPkJ02TRuP2jqN7MdnHqnld
  9yKv6zxGKjAqkL469BVFJUXR5wf44ta7b+ymZT7LDD7O4duHafV5w2ZtrfFdQ/v89xER0bi948h+
  tn22zta8JKUlkfl0c9pzcw9deXSFvv77a4PzR8RBz2KGRWbA/S+s8V1Dp4NPG5Q2KDqIXvztRTp8
  +zBtubKF1l1YR1MOT6Hx+8eT2XQzarOyDSWlJZH119ZUZmYZSkhNeGwfWq2WJh+cTFce6WfLjNgx
  IvM7deLuCVrju8ag/FT9tiq9vv118vYmuntXv77OD3Wo5bKW/7q8c/Mw7iF9eYjvDrLj2g5adX5V
  tu2rzq8iyxmWdDf6LvXd0JfgCeq3oR9NOzKNZnjPIHiChm0dRrUW1SJ4gnwf+FJgINHHv/5IXdZ0
  IfPp5tR2ZVuaf3w+ve/1Pmm0Gnp126s0bOswgifo98u/EzxBzZc2p6rfVqVyc8sRPEELTy4kIqKU
  9BQym25G7/7xLh25c4RWn19NbgvdyGmuE3Va3YlsP21BaPorxfNvMTX+tkPhgziAXgCuA7gJYGIu
  28sD2AvgAoBLAN7KYz+F/oDyUrEiz+4j4vGo+/c/niYiMYLuxdyjnut7Utd1XenCgwsUEhtC8MRj
  NXOtVktNf2pKb+54M/PXPDIxktr93I4WnFiQ+UvaZU0XOn//PCWnJdOkvyZRSnpK5j6+OPgFbbmy
  hcrMLEMDNg4gIiL/CH+CJ3KtBf4Xzt0/R6vOr6IJByYYXCMsafwj/Gmpz1KD0085PCXbyJ1/a+HJ
  hRQcE/zEry8qHVZ1oHd28m2YJh+cTBP/mmjwa8MSwnIdmVSQzqs7P1bLJiLqub7nY2eA/5XopGia
  cpgH3UckRhA8Qe97vZ+5fe6xuXQn6g7tuLaD4InM78L5++cJnqDPD3xOtRbVIsc5jtl+TDVaDf1v
  3/8oNT2V3v3jXfr+5Pc09PehmbFi1w39raS+PPRl5hkTEdHN8Js09fBU+ujPj6j8KxPJzl7/v/rL
  hV8KF8TB11e5BcANgGVGoG6QI800AHMynlcAEAHAIpd9Ff4TyIVWyxMGnJ15anK5ckQPHxKFxodS
  UHQQEXEBP7fmOXrhlxfIYY4D2c6yJYsZFrTXfy/BEzRmzxiKS4mjS6GXKDY5ln67+Bs1XtKYNFoN
  eR7xpMZL+J5ha3zXZH4o8AQdup1Hm02G8IRwgiey1Zane0/PcyifEEVlr//eAr+/xrbeb322Gr3O
  5sub82xK+i9ptBqymGGR6w9IUloSjds7LnM5XZNOXx76kpLSksgnxMegisHCkwup6rdVCZ6gq4+u
  GpSn4GCiBzlae/ML4gV2bCql2gGYRkS9M5YnZexwXpY0owA0JaKxSqmaAPYTUb1c9kUFHe9JJCXx
  gPwPP+QL72jtQnDyTCp+u/QbgqKDsLL/SlwNu4pev/ZCRFIEmlRsgjMhZwAAI5qPwKXQS7CxtIGT
  tROO3z2OPnX74PyD81jRbwWec3sO18Ov49z9c3itGV/79VLoJfxz7x98sOcDBH4SCDen/IfBzD42
  G5+0/QR2VnZGf+9CiMKp+m1VTOsyDaOeHWX0fd+NuYu/Av5CaEIoJnSYAEvzJ7uDiFIqz45NQ4L4
  EAA9iej9jOXXAbQhoo+zpDEDcAhAfQD2AF4hor257Os/CeIPH/J41OBgvs71M9ttUblsJfSr1w+X
  H13G+kHrsdp3NS6EXkC/ev3Qxa0Lnl35LGKSY6AhDaZ7TMdn7T/D5EOT0bxyc8w/MR8pmhTc/vh2
  ntclAYAFJxbgsw6fwUyV2OH2QpR4LZa1wIznZ6B//f4FJzaR/IK4scaJfwHAj4ieV0rVBvCXUqoZ
  ET02v9vT0zPzuYeHBzw8PP7Vgdq359p2jRp8YZlbt4Ddu/liRBYWwEObw0jWJKGKfRU8SniEgKgA
  LD27FLOOzcLU56birRZvAQCqO1THsMbD8NPZn1DNoRrsrOywqPciAEAb1zYIjA7MN4ADwISOE/5V
  3oUQT58JHSagfbX2ps5GNt7e3vD29jYoraHNKZ5E1CtjObfmlD8BzCKiExnLh8AdoGdz7KtQNXGN
  hmd47dnD1yno14+vSpaWxtcxOHI8EVW/rYoX676IwOhAWFtYwzvQGz3r9MS+W/vw+9Df8VLjlwAA
  W65sQRf3Ljh85zC61eyWbaC/EEI8TfKriRvSDuADoI5Syk0pZQVgGICc9724BuCFjINVAlAPgJFu
  PqT34AFfyjTrvRHT0vi5xu0vbLy0Ea1dW2Pm8zPxIP4BHiU8glIK+27tw3SP6ehWq1vmvl5q/BIq
  2lXEsCbDJIALIYqtAptTiEijlBoL4AA46K8iomsZnZlERCsAzAGwRinlB0AB+JyIIvPe65PRBe9/
  /uG/UVF8dbz4eOBc4x4YuQvYPXw3qpStggdxD1C2TFkMaTgEW65uweTOk2FhVmKvMiCEKKUMimpE
  tA/caZl13fIsz8MB9DNu1h4XGMjt3mvXcifmlCnAFbMNOHUpDP5kgc0vbUCfen0AABZmFghPDMfq
  AavxerPXJYALIUqkpz6yRUXxNYCHD+eaeOPG3IyybRuQbhmJmos+RELNVFTVtsts7waQOWLE3sr+
  qe51FkKIwnjqg/ipUzwKRSm+ldOoUUCtWnxx/GVnf0f3Wt2RmGAGR6vy2V63eejmAm9yIIQQxd1T
  H8SDgviOGkFBwJUrfBeNVq2Ah/EP4entiZ3DdsLF1gWE7KNeetftbaIcCyFE0Xnqg3hgIN/i6cYN
  wN8fcKwegp/P78X+gP14t+W7aFetnamzKIQQJvPUXU+8Tx++m3a/fnzPQ6X47iETJ/LdMmw/aYsz
  IWdgZ2mH4P8Fw8n6CW7ZLoQQxUhhx4n/p4h47DcAJCcDf/7J7eDHj/Oknjt3+KapANC5710ERAbA
  sYwjnG2cJYALIUo9kwfxrVsBy4xrwtzNuDmNlxffRdrJSXcfQH5u32YrBjUYhFZVWqFJxSamy7QQ
  QjwlTN4mHhPDf4n0k3n++AMYNIivTBgbyzc8jooCRuy4gOerPw9bS9vMW3cJIURpZvIgbp0RiwMD
  OYgrBdy/z00onTvzUMLfr/wOxzKOCIgKwMhWIzGgwYDM+1cKIURpZvIgHp9xncPlywEzM6BmTeD2
  baCZRwA+PvguxrccjxkHZ8DFzoXvWl6udp53mxdCiNLmqQjiTZsCv//OTSY//giYmwObb6yGf6Q/
  ph6ZipiUGPhH+iNVk4oqZauYOstCCPHUMHnHZkICt39/+ilgZQUMGwYMGJqI9RfXY0H3BfB96Ivh
  TYbj8w6fA4DcgEEIIbIw+TjxCROAihWBjz4Chm96F6+3eRHegd6ITI7E+kHrUfXbqtj72l60rNIS
  8anxsLeyL7L8CiHE06Ao7uzzRFauBPbuBcaMAa5HX8DOoNUISPJBRFIELn94GWbKDDc/ugmHMg4A
  IAFcCCFyMGnbxJEjfD0Ue3vgwsMLqGxfGZceXcLgBoNRzqYcAGQGcCGEEI8zaRCPi+O/dnbArchb
  GFh/IACgQ/UOJsyVEEIUHyYN4rGx/NfeHgiICkDHGh1Ru1xtdHbrbMpsCSFEsWHSNnFdTdzeHggI
  4jHg/h/5F3iXeSGEEOypqYnfjrqNmuVqSgAXQoh/4aloEy9jm4bo5Gi42Mpd54UQ4t8weU1cKSDF
  LBzlbcvD3MzclNkRQohix2RBPC2NH1u2ABrrR6hkV8lUWRFCiGLLZEF8yBCeZj9kCBCe9AgV7Sqa
  KitCCFFsGRTElVK9lFLXlVI3lVITc9k+Xinlq5Q6r5S6pJRKV0rle9udXbuApCR+/ihBgrgQQjyJ
  AoO4UsoMwGIAPQE0BjBcKdUgaxoi+oaIWhJRKwBfAPAmoui89qnVZl+WIC6EEE/GkJp4GwD+RBRE
  RGkANgEYkE/64QA25rfD5GT9c41Wg2N3j0kQF0KIJ2BIEHcFcC/LcnDGuscopWwA9AKwLb8d6ppR
  qlcHDt4+iD/9/0Rb17aG5FcIIUQWxp6x2Q/A8fyaUjw9PREbyxN8fvnFA9ej72BE8xHoVqubkbMi
  hBDFk7e3N7y9vQ1KW+D1xJVS7QB4ElGvjOVJAIiI5uWSdjuA34loUx77IiLCrVtAz55AQADw5aEv
  YW1hjSldphiUYSGEKG3yu564Ic0pPgDqKKXclFJWAIYB8MrlII4AugD4o6AdJifrb5B8L/YeajjW
  MCAbQgghciqwOYWINEqpsQAOgIP+KiK6ppQaxZtpRUbSgQD2E1FSQftMSgJsbPj53Zi7qO5Y/Unz
  L4QQpZpBbeJEtA9A/RzrludYXgdgnSH7S07WB/F7sfdQ3UGCuBBCPAmTzNhMSuLmlAdxDxCZFAk3
  JzdTZEMIIYo9kwVxGxtgy9Ut6F+/P6zMrUyRDSGEKPZMEsR1HZvH7x5Hz9o9TZEFIYQoEUxaE78V
  eQt1nOuYIgtCCFEimK4mbkMIiAqQIC6EEIVgspo4bCJgpszgbONsiiwIIUSJYLKaeKLNDdQuV9sU
  hxdCiBLDZDXxk2Vm4OXGL5vi8EIIUWIY+wJYBklKAoLsj2JM6+2mOLwQQpQYpqmJJxM0SIG1hbUp
  Di+EECWGSYJ4QlIazGAhd7cXQohCMkkQT9Ekw0KVMcWhhRCiRDFJEE9HMqyUNKUIIURhmSiIp8BS
  grgQQhSayWri0pwihBCFZ5ogTsmwMpOauBBCFJY0pwghRDFmsuYUSzNpThFCiMKS0SlCCFGMmSSI
  a1QKLKVNXAghCk2aU4QQohgzUU08GWWkJi6EEIVmmiCOFBliKIQQRmBQEFdK9VJKXVdK3VRKTcwj
  jYdSylcpdVkpdSS//UlzihBCGEeB1xNXSpkBWAygG4D7AHyUUn8Q0fUsaRwBLAHQg4hClFIV8tun
  RslkHyGEMAZDauJtAPgTURARpQHYBGBAjjSvAthGRCEAQETh+e1Qo6Q5RQghjMGQIO4K4F6W5eCM
  dVnVA+CslDqilPJRSr2R3w65Ji7NKUIIUVjGuj2bBYBWALoCsANwUil1kohu5Uzo6emJ8PMHcfWR
  DbzresPDw8NIWRBCiJLB29sb3t7eBqVVRJR/AqXaAfAkol4Zy5MAEBHNy5JmIgBrIpqesfwzgL1E
  tC3HvoiI4DZqHHp3cMeyN8f9i7clhBClk1IKRKRy22ZIc4oPgDpKKTellBWAYQC8cqT5A0AnpZS5
  UsoWQFsA1/LaoYwTF0II4yiwOYWINEqpsQAOgIP+KiK6ppQaxZtpBRFdV0rtB3ARgAbACiK6mtc+
  edq9lZHeghBClF4GtYkT0T4A9XOsW55j+RsA3xi0P2hhITdJFkKIQjPJjE2CFmZmJjm0EEKUKCYL
  4uZKgrgQQhSWyYK4Url2tAohhPgXTBPEiWAuzSlCCFFopmtOkSAuhBCFZrqOTWkTF0KIQjNNEFdS
  ExdCCGOQmrgQQhRjJoqkUhMXQghjkMk+QghRjMnoFCGEKMZMFsQtJIgLIUShScemEEIUY6aJpDLE
  UAghjEI6NoUQohiTNnEhhCjGTBRJSdrEhRDCCGSIoRBCFGMmvHaKXE9cCCEKy2TT7qVjUwghCk+u
  YiiEEMWYtIkLIUQxJpN9hBCiGDMokiqleimlriulbiqlJuayvYtSKlopdT7j8VV++5Nx4kIIYRwW
  BSVQSpkBWAygG4D7AHyUUn8Q0fUcSY8SUX/DDisdm0IIYQyGRNI2APyJKIiI0gBsAjAgl3SGjxlU
  UhMXQghjMCSSugK4l2U5OGNdTu2VUheUUnuUUo3y2yEpqYkLIYQxFNicYqBzAGoQUaJSqjeAnQDq
  5ZbQ09MT2lOhWKf5CTT0JXh4eBgpC0IIUTJ4e3vD29vboLSKiPJPoFQ7AJ5E1CtjeRIAIqJ5+bzm
  DoBniCgyx3oiIpiPq48TY7zQrm59gzIphBClmVIKRJRrk7UhbRo+AOoopdyUUlYAhgHwynGASlme
  twH/OEQiL0oLc3NpThFCiMIqsDmFiDRKqbEADoCD/ioiuqaUGsWbaQWAoUqpDwGkAUgC8EoBe5WO
  TSGEMAKD2sSJaB+A+jnWLc/yfAmAJYYeVG4KIYQQxmGyGZsW0pwihBCFZrpp93JTCCGEKDTTXcXQ
  XK4nLoQQhWW664lLTVwIIQpN2sSFEKIYkyAuhBDFmFxPXAghijGpiQshRDEmNXEhhCjGijySEkGC
  uBBCGEmRR1KtFoCSIYZCCGEMJquJSxAXQojCM01NHCRBXAghjECaU4QQohiT5hQhhCjGpCYuhBDF
  mGlq4mZaKMhVDIUQorCKPIhrNASQglISxIUQorCKPohrtUDuN20WQgjxLxV5EE/XaAGS9nAhhDCG
  og/iWgniQghhLKZpTjHVDYWEEKKEkeYUIYQoxgyKpkqpXkqp60qpm0qpifmka62USlNKDc4rjVar
  hZIgLoQQRlFgNFVKmQFYDKAngMYAhiulGuSRbi6A/fntT9rEhRDCeAyJpm0A+BNREBGlAdgEYEAu
  6T4CsBXAo/x2Jm3iQghhPIZEU1cA97IsB2esy6SUqgpgIBEtBfKfiqnRktTEhRDCSCyMtJ/vAWRt
  K88zkC/5fi7INwmenp7w8PCAh4eHkbIghBAlg7e3N7y9vQ1Kq4go/wRKtQPgSUS9MpYnASAimpcl
  zW3dUwAVACQAeJ+IvHLsi85eC0WbtU2hmRtq4NsRQojSTSkFotynuhtSE/cBUEcp5QbgAYBhAIZn
  TUBEtbIcbA2AXTkDuI5GRqcIIYTRFBjEiUijlBoL4AC4DX0VEV1TSo3izbQi50vy2590bAohhPEY
  1CZORPsA1M+xbnkead/Jb18yxFAIIYzHBDeFkOYUIYQwFtNMu5fmFCGEMAqTXABL7uojhBDGUfRB
  nKRNXAghjMUEt2fTQklzihBCGEXRd2xKTVwIIYzGJB2bUhMXQgjjKPJoSkQSxIUQwkjkHptCCFGM
  mWiIoQRxIYQwBtPM2JQgLoQQRmGau93naE5xd3eHUqpEPNzd3Yu6SIUQpZixbgphMA09XhMPCgpC
  Qdc1Ly6UktmoQoiiI23iQghRjEkQF0KIYkw6NoUQohh7Kjo2hRBCPBmTXMVQauJCCGEccj1xA0RF
  RWHQoEGwt7dHzZo1sXHjRlNnSQghAJhgiKG2GNbER48eDWtra4SFheH8+fPo06cPWrRogYYNG5o6
  a0KIUk5GpxQgMTER27dvx9dffw0bGxt07NgRAwYMwPr1602dNSGEMMXolOJ1FcObN2/C0tIStWvX
  zlzXvHlzXLlyxYS5EkIIVmyaU4wxEfJJJoXGx8fDwcEh2zoHBwfExcUVPkNCCFFIBkVTpVQvpdR1
  pdRNpdTEXLb3V0r5KaV8lVJnlVJd89pXiiYZZmT1rzNKVPjHk7C3t0dsbGy2dTExMShbtuyT7VAI
  IYyowCCulDIDsBhATwCNAQxXSjXIkewgETUnopYA3gawIq/9xaXGwFLrWIgsF6169eohPT0dAQEB
  mev8/PzQuHFjE+ZKCCGYITXxNgD8iSiIiNIAbAIwIGsCIkrMsmgPIDyvnUUnxcLGrPgEcVtbWwwe
  PBhTp05FYmIijh8/jl27duGNN94wddaEEMKgIO4K4F6W5eCMddkopQYqpa4B+BPAx3ntLCYlBrbm
  DnltfiotWbIEiYmJqFixIl5//XUsW7ZMhhcKIZ4KRuvYJKKdAHYqpToBWA+gfm7pLuz5E+lJdvD0
  9ISHhwc8PDyMlYX/TLly5bBjxw5TZ0MIUUp4e3vD29vboLSqoOt4K6XaAfAkol4Zy5MAEBHNy+c1
  AQDaEFFEjvXUZsb7cEpuhf2zRmVdX6KuJ15S3osQ4umQEVdyHaNnSHOKD4A6Sik3pZQVgGEAvHIc
  oHaW560AIGcA14lPj4GDVfFqThFCiKdVgc0pRKRRSo0FcAAc9FcR0TWl1CjeTCsADFFKjQCQCiAB
  wCt57S9RGwMHm+LTsSmEEE8zg9rEiWgfcrRxE9HyLM/nA5hvyL6StDFwtJGauBBCGEORz39PRiyc
  baUmLoQQxlDkQTwVMShvJ0FcCCGMociDeJJVMCrYSxAXQghjKPIgXiVkFFwcJIgLIYQxFHkQt33Q
  E3Z2RX1UIYQomYq+TTzBBra2RX3UwlmyZAlat24Na2trvPPOO6bOjhBCZCry64mnJloXuyDu6uqK
  KVOmYP/+/UhKSjJ1doQQIlORB/HkeJti15wycOBAAICPjw9CQkJMnBshhNAr8uaUmHBryP0UhBDC
  OIq8Jj5/jjVsbP7969T0wt+fjabJhamEECVLkQfxWjWeIIJDArAQQuSmyJtTKpe3LupDCiFEiVX0
  k31cil8Q12g0SE5OhkajQXp6OlJSUqDRaEydLSGEMEEQr/BkzSmm9PXXX8PW1hbz5s3Db7/9Bltb
  W8yaNcvU2RJCiILv7GPUgylFWq0WSqmc60vM3XBK0nsRQjwdCntnH6NnRgghhHEUeRAXQghhPBLE
  hYBKs4kAAARVSURBVBCiGJMgLoQQxZgEcSGEKMYkiAshRDFW5NPuc+Pm5lZiRq24ubmZOgtCiFLE
  oHHiSqleAL4H19xXEdG8HNtfBTAxYzEOwIdEdCmX/ZCMoRZCiH+nUOPElVJmABYD6AmgMYDhSqkG
  OZLdBvAcETUH8DWAlYXLcsnn7e1t6iw8NaQs9KQsspPyKJghbeJtAPgTURARpQHYBGBA1gREdIqI
  YjIWTwFwNW42Sx75cupJWehJWWQn5VEwQ4K4K4B7WZaDkX+QHglgb2EyJYQQwjBG7dhUSj0P4G0A
  nYy5XyGEELkrsGNTKdUOgCcR9cpYngSAcuncbAZgG4BeRBSQx76kV1MIIZ5AXh2bhtTEfQDUUUq5
  AXgAYBiA4VkTKKVqgAP4G3kF8PwyIYQQ4skUGMSJSKOUGgvgAPRDDK8ppUbxZloBYAoAZwA/KR7w
  nUZEbf7LjAshhCji64kLIYQwriKbdq+U6qWUuq6UuqmUmljwK4o3pdQqpVSoUupilnXllFIHlFI3
  lFL7lVKOWbZ9oZTyV0pdU0r1ME2u/xtKqWpKqcNKqStKqUtKqY8z1pe68lBKlVFKnVZK+WaUx+yM
  9aWuLACeh6KUOq+U8spYLpXlUChE9J8/wD8WtwC4AbAEcAFAg6I4tqke4BE6LQBczLJuHoDPM55P
  BDA343kjAL7g5i33jLJSpn4PRiyLygBaZDy3B3ADQINSXB62GX/NwfMqOpbisvgUwK8AvDKWS2U5
  FOZRVDXxAicMlTREdBxAVI7VAwCsy3i+DsDAjOf9AWwionQiCgTgDy6zEoGIHhLRhYzn8QCuAaiG
  0lseiRlPy4ArOFEohWWhlKoG4EUAP2dZXerKobCKKoj/2wlDJVVFIgoFOLABqJixPmf5hKCElo9S
  yh18hnIKQKXSWB4ZTQi+AB4C8CaiqyidZbEQwAQAWTvmSmM5FIpcita0SlWvslLKHsBWAJ9k1Mhz
  vv9SUR5EpCWiluCzkc5KKQ+UsrJQSvUBEJpxhpbf0OMSXQ7GUFRBPARAjSzL1TLWlTahSqlKAKCU
  qgzgUcb6EADVs6QrceWjlLIAB/D1RPRHxupSWx4AQESxAP4E8CxKX1l0BNBfKXUbwEYAXZVS6wE8
  LGXlUGhFFcQzJwwppazAE4a8iujYpqSQvZbhBeCtjOdvAvgjy/phSikrpVRNAHUAnCmqTBaR1QCu
  EtGiLOtKXXkopSroRlwopWwAdAd32JWqsiCiyURUg4hqgePBYSJ6A8AulKJyMIqi6kEF0As8KsEf
  wCRT9+gWwfvdAOA+gBQAd8HXlCkH4GBGORwA4JQl/RfgHvdrAHqYOv9GLouOADTgUUm+AM5nfB+c
  S1t5AGia8f59AfgBGJ+xvtSVRZb31wX60Smlthye9CGTfYQQohiTjk0hhCjGJIgLIUQxJkFcCCGK
  MQniQghRjEkQF0KIYkyCuBBCFGMSxIUQohiTIC6EEMXY/wHgSr+vpaIc3QAAAABJRU5ErkJggg==
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f79574b4650>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAJZCAYAAACTE4A9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzs3XmYXVWd7//3NwQVlUCYKpIJEFCwnRW8gm0xDyLg0BC0
  jYiINtoOV5m892rsQUXbVn4oXkXUqEAEUYk2l0kou6FVkEkwIQQhA4EUcxABCeT7+2PtIieVU6nK
  tE6Fer/y1JN99t5n73VW7arzOWutvSoyE0mSJK1fozpdAEmSpJHA0CVJklSBoUuSJKkCQ5ckSVIF
  hi5JkqQKDF2SJEkVGLokSZIqMHRJktaJiPheRPxT7ecOctxlEbHDGj73zojYe12XSSOXoUvqJyLe
  EBFXNcvLIuLPEfFIRNwXEZdFxBH99u+JiMebffq+LmzZvmlEfC0i5jfb5kbEv0fEFi37HB0Rf4iI
  v0TE3RFxRkRs1rL9sxHxZEQsab5ujYjTI2Jcm/JvFxFPR8Q3VuM1L4uIxRExqmXd6Ii4NyKebll3
  ZUQc0yy/uXne1/sd678iYmqz/N6I+K825+uJiAcjYuN+678XEX9tqcc/R8QNqyj3ni3fn0eb8jzS
  sm5Cy77fj4ilEdHV7xjTmue9s2XdRs26SS3l+qd+z5vc7LPK36NDeW7L97e17Nv12/+K5vqYFRH7
  rOqczXPeGxFPtdTlnyLiuxGxU7/9nhMRX2iuz79ExJyI+NRgx9+AOAO4hg1Dl551IiLW8hBvAf6j
  5fErMnMM8BJgOvD1iPg/LdsTOD4zx7R8HdaUZWPgCmAXYP/mOP8DuB/Yrdnnk8AXgE8CY4A3AJOB
  yyJidMt5ZmTmZsAWwNuAccB1/UMEMBW4BTiyf6gZxEPAQS2PDwIeHOQ5fwHe0xdOBrDCm15ETKa8
  9nuBQ9vsf2pLPW6ama8e8MCZVzX7jAFe1pxrs751mXlXc87nA28HZgF/36Z8DwCf63ftDOXNem3e
  0Ps/d0bLax6TmfNatp0LXEf53v9v4CcRseUQzvHfTd1sBuwLPE65ZnZt2ecnwF7AgcCmwHuA4yLi
  tDV5UcPQ2v4+kNYZQ5c6IiJOioi7mk/gsyNir4gYFRGfjojbm9acayNifLP/GyPimoh4KCJ+FxH/
  o+VYV0bEv0TEVRHxF2D7iBgTEWdFaTVaGBH/3PeGGhEvblpaHm5acs7tV7yDgYtaiwuQmQ9m5o+A
  fwA+HRFj++/TxnuBCcDhmTmnOc79mfn5zLw4IjYFpgEfyczLMvPpzFwAHAFsx8oBgWaf2cCRwH2U
  sNZqanPMB4C3DlCudn7YlLf1ONMHec7DwPeb8w3VVOAy4AfA0avxvKFq9714B3AncOoA57wEeJIS
  OFZ1nOqalqlXA9My86+Z+VPgD5TXNCRZ3JmZHwZ+TfP9alrM9gXenpmzM3NZZl5Due4+HAN0y0XE
  VyOit/k5valfiNsiIn7Z/Gz/JiK2b3neSyPi0oh4oPm5/7sBjj8rIg5uebxR87P6qubxGyLi6ub3
  wQ0R8eZBquAtTUvfvRHxpZbj7hARv4qI+5ttP4qIMQOUaZeIuCMijhzkXNKADF2qLiJ2Bj4MvLb5
  FH4AMI8SHo4EDmxadI4BHmvCzS+BrwFbAl8F/qNf6Pl74FjKJ/UFlLDwV2AHyhvWfs12gH8GLsnM
  zSmB6PSWso0DtsnMm1bxEi4ERtO0VA1iH+DizHx8gO1vBJ4L/Kx1ZWb+hRL89hvowJm5rCnLm1rK
  /yZgm+a5P2HFELUqCfwc+NsmsG4O7Nkcf7Dn/Svwjv7dVqswFfgxcD5wQERsPcTnrY33Nuf8BbBj
  RPRvPVsG/B/gsxGx0RCPuTahrN1z39q8+d8cER9qWf8y4I7mmuhzU7N+TfyU5dfMvsDvMvPu1h2a
  4HUX5fpdseAR+1OujR2bn9MjKAG/z5HAZ4HNgT9Rro++1sZLgR8BWwFTgDMi4qVtyngu8K6WxwcC
  92Xmjc0HsV8C/5SZY4FPARcM0vJ3OPCa5uuwaLrIKd+Hz1NajXeh/D6Y1uY1vwa4GPhwZv54FeeR
  VsnQpU54GngO8DcRMTozF2TmncD7gf+VmbcDZObNmfkQpbvvtsw8p/kkPgO4lRVbcb6fmbc2QWQL
  StfYJzLzicy8nxLYpjT7LgUmR8T4zHwyM/+75TgHU365Digzn6J0D27Rsvr0KGOUHmr+/1yzfkvg
  nlUcbivg/qbc/d3TbF+Vu/uVYyrwi8z8KyXUHBgRgx2jzxPATEo9Hdks/3WwJ2XmvcD/BQYdBB0R
  ewLjgZmZORf4Iyu+uQKc0K8uvzfE8g90zklAN3B+Zv6Z8v2d2uZ1/JLScnhs/239yvVgRDxICT5D
  Ndhzf0x5098aOA74TEuLyguBJf32f4TyAWNNtF4zWzHw9TnQ9be0OfeuERGZOScze1u2/ywzr2uu
  6bOBVzXrDwHuzMwfNC1vNwEXAO1au84BDo2I5zWPj6IEMYB3A/+RmZcAZOavgN9TfnYH8sXMXNJ0
  N3+tOR6Z+afM/FVmPpWZD1A+0PVvNftbyoePv8/M/7eKc0iDMnSpusz8E/BxyifKeyPinIh4ETAR
  uKPNU7YF5vdbN5/y5t1nYcvyZGBj4J6+N29KKOhrUTmBcu1f07QqvK/luf27FlcSZZzV1qz46f4f
  M3OLzBzb/P/ZZv0DwItWcbj7ga2i/WDsFzXbV2U8zbir5g3q7yhhi8y8kVJP/UNNO30tLz+kBJL3
  ULr/hupUSqvVKwbZbypwaWY+2jw+n5Vb477cry7fx9p5D3BLE/KgtAC+e4AWrf8N/C/geW229ZVr
  i8zcAhjstQ75uc0HhsVNGPkNcBrQN7D/UcpYv1abAX9ejfO3euaaoVxfA12fba+/zLwS+DrwDaA3
  Iv5vRLywZZfFLcuPUUIjlJ/LN7SEz4co12b/MYl9vyNmUVr/NqGM/Tu75ThH9DvOHqt4HVBa7frM
  p/xOISK2iYhzowx1eJjlrXCtPghcnZkr3RAirS5DlzoiM2dk5puAvgHYp1K6BV/cZve7KeObWk0C
  FrUesmV5IaXVZsuWN+/NM/MVzbnvzczjMnM88CFKF8cOTZh6M2W80aocTvm0f+1grxO4nBJGNhlg
  +28orUlvb13ZvIkd1Dy/rWaM2luB/2xWvZ3y5vytiLgnIu6hdJcMtYuR5o3lRZQu1qtX43kPUloQ
  /pkBBpc3ofAIYO+W8n0SeGVEvHyo51oD7wF2ajlnXzf1Si0jmXk5cDtwPJ296y1ZHoT/COwQES9o
  2f7KZv2aeDvQFyAuB3ZvuuyeERG7U66dK9oWLvPrmfk6YFfKDSYnDOG8C4GelvA5trlh4CMD7D+D
  EsoOA/7YtIb3HecH/Y6zaWZ+aYDjQPlA12cy5XcKlBtYlgEva4Yb/D0rd/1+CJgUEf8+hNcorZKh
  S9VFxM5RBs4/hzJ4+XFKl+N3gH+JiB2b/V7ejNu6iPKmOaUZUHskpSvmF+2On5mLKWNHvhpluoZo
  QtXfNsd9Z8ubzMOUX7rLKONUbmpphelf7rER8W7Kp/wvNl2fg/kh5U3igoh4SVOWLSPilIg4MDMf
  oXTLnR4RB0SZpmE7SnfTAson72eK0JRjo4jYhfKm1AX0vRlMBc4CXk55U35l85peGRGrM/7nEMob
  3QrnHYKvUsao7TLA9rcBTzXb+8q3C3AVbbr71tAKZY1yw8UOwOtbzvkySlfVQOf838CJa3K+1fTM
  cyPi0GYcHRGxG/Axyhg7mha6GynjzZ4bEW8H/obSNTekc0S5SWW7iDid0l32uebYvwJ+Rbk+d232
  ewPluj2jaXFa8YARr4uI3ZoPKY9TPuC06x7v75fAzhHx9811vnFzrJcMsP8MYH/KjSvntKz/EaUF
  bP+mvM+LMn3Jtqs49wkRsXlETAQ+2hwbSivco8Cfm98J7cLjnyljyv42Ir4whNcpDWhIoat5g/hj
  lHmEzo4yr8vYKHehzImIS2LFOYVOiTIX0ewogy6lVs8FvkgZP3M3pavuFMqb9o+BSyNiCSWEbdK0
  ohxCGTB7f/P/W1pCT7sWiamUcWOzKF0p51MGy0J5A/5dRDxCeWP7aJbb89/Cyl2LCdzU7DuXMrj/
  Y5n5uX77fT1WnFvqWoDMfJIyWPlWSgvaEuC3lJaW3zX7fBn4NPBvzfbfULpA9s3MpS3nOKIpx8NN
  ue+j3IzQ27zh7A18tWnJ6/u6njKGabDWrmfqMMtdbLPbbWMVrT/NeKkvseIYs1ZTge9m5qLWMlJC
  7LtbulhP7FeX9w5S9ravo+WcP8/MWf3OeRpwSF/Q6fc6/hu4ZlWvdRXnW519WtdPAW5vvr/fBz6f
  5U7Z1u2vp0zr8a/AO5oxSIN5Q3PMJcCVlJDx+sxsbSV7R7PtYkrA+AFwZmZ+tG+HiPhmRJzRPBwD
  nEn5ubqT8jP55cEK0nyY2b95LXc3X1+k/D5ot/9iys/CGyi/F/rW30X5UPBpys/AfMrvhL45z1rL
  CqWeL6RMuXE95cPad5ttnwNeS/mZ+gUrB9lszvkI5aaWA2P5eE1ptUXmqn9nRJlT50rgpZn5ZET8
  mPLGtCvwQGZ+KSJOAsZm5slRbh0+m/ILYgKl+XqnHOxEUodFxB8pb2a3droskqRnn6G0dD1C6QJ6
  QdOcvAllLM1hLJ/DZzplnAuUAY8zmrtB5lFaB4Zya73UMVEmEZ1u4JIkrS+Dhq6mC+crlPEli4Al
  zWDTrr7bhJtm4G2ap4xnxTvJFrHiXWbSsJOZSwcZiLtBixX/XE5r190jnS7bUETEuwYo/82dLhtA
  RNzSrm4j4qj1fN5v9quXvuUzBn+2pNpGD7ZDlBmJP0G542MJcH4zmLh/d6Hdh9IwlZlXsebzOnVc
  Zp7DioOph5XM/JsOnfcfKAPNJW0ABg1dwOsoc5T0zQX0M8odSr0R0dUM4h1H+TtqUFq2Wm/PncCK
  t/bTHMeQJkmSNhiZuVZ/HmwoY7rmUO6AeV5EBOXPQsyizFZ9dLPPe1n+50JmAlOaOxy3B3ak3Am0
  ksz0q9/XZz/72Y6XYTh+WS/Wi3VivVgv1ksnv9aFQVu6MvOmiPgB5Xbbp4EbgG9TuirOi/I3rOZT
  Jj0kM2dFxHmUYLYUOD7XVWklSZI2UEPpXiTLPEL952F5kDL/ULv9v0CZ6VeSJEk4I/2w093d3eki
  DEvWS3vWy8qsk/asl/asl/asl/Vj0MlR19uJI+x1lCRJG4SIICsMpJckSdJaMnRJkiRVYOiSJEmq
  wNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGh
  S5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ck
  SVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKk
  CgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUY
  uiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJ
  kiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKhjd6QK0M27cdvT2
  zu90MYadrq7JLF48r9PFkKQRYdKkcSxc2NvpYgw7Eyd2sWDB4k4XY4MUmdmZE0fkQOeOCKAz5Rre
  gk59vyRppIkIrryy06UYfvbaixH5XhQRZGaszTEG7V6MiJ0j4oaIuL75f0lEfDQixkbEpRExJyIu
  iYjNWp5zSkTMjYjZEbH/2hRQkiTp2WDQ0JWZt2XmqzPzNcBrgb8APwNOBi7PzJcAVwCnAETErsAR
  wC7AQcAZUZquJEmSRqzVHUi/L/CnzFwIHAZMb9ZPBw5vlg8FZmTmU5k5D5gL7LYOyipJkrTBWt3Q
  dSRwTrPclZm9AJm5GNimWT8eWNjynEXNOkmSpBFryKErIjamtGKd36zqP4pu5I2qkyRJGqLVmTLi
  IOC6zLy/edwbEV2Z2RsR44B7m/WLgIktz5vQrFvJtGnTnlnu7u6mu7t7NYojSZK0fvT09NDT07NO
  jznkKSMi4lzg4syc3jw+FXgwM0+NiJOAsZl5cjOQ/mxgd0q34mXATv3nh3DKiDXhlBGSVItTRrTn
  lBFrbkgtXRHxfMog+uNaVp8KnBcRxwDzKXcskpmzIuI8YBawFDh+wHQlSZI0Qjg56gbFli5JqsWW
  rvZs6Vpz/u1FSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG
  LkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S
  JEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS
  KjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg
  6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl
  SZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKhjd6QKsygEHwNe+BqNGwVlnwZe+tOL2
  T34S3v1uyISNN4ZddoGttoIlS+CjH4Vjjy37nXkmnH56WX7d6+Ab3yj7L10Kxx8P111X93VJklbt
  4tsv5uMXf5xluYz3v/r9nLTnSSts/7f//jfOvvlsgmDpsqXMvm829594P5s/b3MAluUyXvft1zFh
  zARmHjXzmeed/rvTOeP3ZzB61GjestNb+OK+X1xlOa65Br7+9fI+c/DBcNRRK25fsgQ+/3l44AFY
  tgyOOAIOPLBsmzIFXvCC8h42ejR885tl/Xe/C1dfDRGw2WZw8smw9dZrV1/aMERmdubEETnQuSOC
  iOS222CffeDuu+Haa8sFPGdO++O95S3w8Y/DfvvBrrvCuefC618PTz0FF18MH/wg3HknXHEFfOEL
  cNll5QfjxBNh773X4wtdp4JOfb8kqZZluYydT9+ZX039Fdtuui2vP/P1zHjnDF661Uvb7v/L237J
  1377NS6fevkz6776m69y3T3X8chfH3kmdPXM6+Hz//V5Lnr3RYweNZr7H7ufrZ6/1YDliAi23Ra+
  8pXygf5DH4LPfAYmTVq+z/Tp8OST8IEPlAA2dSr89Kew0UbwrnfBt74Fm2664nEffxw22aQs//Sn
  8Kc/wQknrFlddcJeezEi34sigsyMtTnGsO1e3G03mDsXFiwowWnGDDjssIH3P+qoErSgtHj97nfl
  B2HZMvj1r+Htby/b7rmnfLIA2HxzWLRo/b4OSdLquWbRNey05U5M3nwyG2+0MVP+ZgoX3nrhgPuf
  e8u5HPU3y5ug7nrkLi66/SKOfc2xK+z3zd9/k5P3PJnRo0onz6oCV58JE2DcuNJStffepYWq1dix
  8NhjZfmxx2DMmBK4oLSOLVu28jH7AhfAE08sf0/Ss9+wDV3jx8PChcsf33VXWdfO855XWq0uuKA8
  vuUWeNObSqjaZJPSJDxxYtl28snw7/8O8+eX7spTTlm/r0OStHoWPbKIiWMmPvN4wpgJLPpz+0/I
  jy99nItvv5h37PqOZ9Z94pJP8OX9vkywYqPEbQ/cxn/O/0/e8J03sNf0vfj93b8ftCyt3X5bbw33
  3bfi9kMOgXnz4J3vLENaPvKR5dsiSgvWhz4Ev/zlis876yw48sjSE/Oudw1aDD1LDNvQtTre+la4
  6qrStAulC/LUU0sX4kUXwQ03wNNPl21nnQX/+I8weTJ84hOlb12StGH6xW2/YM9Jez4zlus/bvsP
  ul7QxavGvYps/vV5atlTPPT4Q/z22N/ypX2/xBHnH7HW5z/nHHjxi+EnP4FvfxtOO610H0IZS/zt
  b8MXvwg//zncfPPy573//fDjH8NBB5VxxhoZhm3oWrRoxX7zCRMG7gqcMmV512Kf73+/jOnaay94
  +GG47bayfvfd4cKmlfqCC0o3piRp+Bg/ZjwLlix45vFdj9zF+E3bd3XMuGXGCl2LVy+8mplzZrLD
  aTtw1AVHceWdVzL1Z1OB0mL29l3KWJPXj389o2IUDzz2wCrLcu+9y5fvu2/lAe+33AJvfnNT7vGl
  K3JBU/Qttyz/b7556X2ZPXvl4++zz8BjlfXsM2xD17XXwo47luC18cYlWM2cufJ+Y8aUC/7Cft39
  WzVd9RMnwtveVj6NQBkn9rd/W5b33nt5GJMkDQ+v3/b13P7g7cx/eD5PPv0kM26ZwaEvOXSl/ZY8
  sYRfz/81h71k+YDfz+/zeRZ8YgF3fOwOZrxjBntvvzc/eNsPAHjbS9/GFXdeAZSuxqXLlrLl87dc
  ZVkWLYLFi8vd7ldcAW9844rbJ02C668vyw8+WIbCvOhFZaxWX4vX44+X97Ttt19+zD5XXVXe6zQy
  DMspI7q6JtPbG3zkIwdw6aWnMWrUKM466yxuvfVUjjvuODKTM888E4DDD5/KJZccwBNPvHuFY1xw
  wa/ZYostWLp0Kccf/wn+/OdfA/DBD76Wb3zjGzznOc/hiSee4LjjjgdurP0S10hX1+ROF0GS1ruN
  Rm3E1w/+Ovv/aP9npozYZetd+Nbvv0VEcNxrjwPg57f+nANefACbbLzJIEcs3veq93HMzGN4+Tdf
  znM3ei4/OPwHq9x/4sQuFi7sXWGaiKOPbr/v97+/fHmgm75OPHHgc1122SqLMqxMnNjV6SJssIbl
  lBGSJEnDybN6yghJkqRnkyGFrojYLCLOj4jZEfHHiNg9IsZGxKURMSciLomIzVr2PyUi5jb777/+
  ii9JkrRhGGpL12nARZm5C/BK4FbgZODyzHwJcAVwCkBE7AocAewCHAScERFr1RwnSZK0oRs0dEXE
  GOBNmfk9gMx8KjOXAIcB05vdpgOHN8uHAjOa/eYBcwEnZpAkSSPaUFq6tgfuj4jvRcT1EfHtiHg+
  0JWZvQCZuRjYptl/PNAylzyLmnWSJEkj1lCmjBgNvAb4cGb+PiK+Sula7H/r4Wrfijht2rRnlru7
  u+nu7l7dQ0iSJK1zPT099PT0rNNjDjplRER0Ab/JzB2ax3tSQteLge7M7I2IccCVmblLRJwMZGae
  2ux/MfDZzPxdv+M6ZYQkSdogVJkyoulCXBgROzer9gH+CMwEjm7WvRfomxN+JjAlIp4TEdsDOwLX
  rE0hJUmSNnRDnZH+o8DZEbExcAfwPmAj4LyIOAaYT7ljkcycFRHnAbOApcDxNmlJkqSRzhnpJUmS
  BuGM9JIkSRsIQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSp
  AkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG
  LkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S
  JEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS
  KjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg
  6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl
  SZJUgaFLkiSpAkOXJElSBaM7XYB2xo3bjt7e+Z0uxrDT1TWZxYvndboYw864CePoXdTb6WIMO13j
  u1h81+JOF2NY8Vppz2ulvUmTxrFwoddLfxMndrFggdfLmojM7MyJI3Kgc0cE0JlyDW9Bp75fw1lE
  wLROl2IYmobXSz9eKwOY5rXSTkRw5ZWdLsXws9deI/N6iQgyM9bmGEPqXoyIeRFxU0TcEBHXNOvG
  RsSlETEnIi6JiM1a9j8lIuZGxOyI2H9tCihJkvRsMNQxXcuA7sx8dWbu1qw7Gbg8M18CXAGcAhAR
  uwJHALsABwFnRGm6kiRJGrGGGrqizb6HAdOb5enA4c3yocCMzHwqM+cBc4HdkCRJGsGGGroSuCwi
  ro2IY5t1XZnZC5CZi4FtmvXjgYUtz13UrJMkSRqxhnr34h6ZeU9EbA1cGhFzWHmk+8gbVSdJkjRE
  QwpdmXlP8/99EfFzSndhb0R0ZWZvRIwD7m12XwRMbHn6hGbdSqZNm/bMcnd3N93d3atbfkmSpHWu
  p6eHnp6edXrMQaeMiIjnA6My89GIeAFwKfA5YB/gwcw8NSJOAsZm5snNQPqzgd0p3YqXATv1nx/C
  KSPWhFNGtOM0AAOYNjJv614Vr5UBTPNaaccpI9pzyog1N5SWri7gZxGRzf5nZ+alEfF74LyIOAaY
  T7ljkcycFRHnAbOApcDxA6YrSZKkEWLQ0JWZdwKvarP+QWDfAZ7zBeALa106SZKkZwn/9qIkSVIF
  hi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxd
  kiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJ
  kiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRV
  YOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQ
  JUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuS
  JKkCQ5dQFf6hAAAZuUlEQVQkSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFYzudAHa6eqaTG9vdLoYw05X1+ROF2FY6hrfRe+03k4X
  Y9jpGt/V6SIMO14r7XmttDdxYhd77eX10t/EiV4vayoyszMnjshOnVuSJGl1RASZuVYtQkPuXoyI
  URFxfUTMbB6PjYhLI2JORFwSEZu17HtKRMyNiNkRsf/aFFCSJOnZYHXGdH0MmNXy+GTg8sx8CXAF
  cApAROwKHAHsAhwEnBER9hVKkqQRbUihKyImAAcD32lZfRgwvVmeDhzeLB8KzMjMpzJzHjAX2G2d
  lFaSJGkDNdSWrq8CJwCtg7C6MrMXIDMXA9s068cDC1v2W9SskyRJGrEGDV0R8RagNzNvBFbVTeio
  eEmSpAEMZcqIPYBDI+JgYBNg04j4IbA4IroyszcixgH3NvsvAia2PH9Cs24l06ZNe2a5u7ub7u7u
  1X4BkiRJ61pPTw89PT3r9JirNWVERLwZ+GRmHhoRXwIeyMxTI+IkYGxmntwMpD8b2J3SrXgZsFP/
  +SGcMkKSJG0o1sWUEWszOeoXgfMi4hhgPuWORTJzVkScR7nTcSlwvOlKkiSNdE6OKkmSNIiqk6NK
  kiRpzRm6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJ
  kiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRV
  YOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQ
  JUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuS
  JKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElS
  BYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoM
  XZIkSRUYuiRJkiowdEmSJFUwutMFaGfcuO3o7Z3f6WIMO11dk1m8eF6nizHsbDduHPN7eztdjGFn
  clcX8xYv7nQxhhWvlfa8VtqbNGkcCxd6vfQ3cWIXCxZ4vayJyMzOnDgiBzp3RACdKdfwFnTq+zWc
  RYRXSxsBXi/9eK2057XSXkRw5ZWdLsXws9deI/N6iQgyM9bmGIN2L0bEcyPidxFxQ0T8MSI+36wf
  GxGXRsSciLgkIjZrec4pETE3ImZHxP5rU0BJkqRng0FDV2b+FdgrM18NvALYOyL2AE4GLs/MlwBX
  AKcARMSuwBHALsBBwBlRmq4kSZJGrCENpM/Mx5rF5zbPeQg4DJjerJ8OHN4sHwrMyMynMnMeMBfY
  bV0VWJIkaUM0pNAVEaMi4gZgMdCTmbOArszsBcjMxcA2ze7jgYUtT1/UrJMkSRqxhnT3YmYuA14d
  EWOASyKim5VHuo+8UXWSJElDtFpTRmTmIxFxEfA6oDciujKzNyLGAfc2uy0CJrY8bUKzbiXTpk17
  Zrm7u5vu7u7VKY4kSdJ60dPTQ09Pzzo95qBTRkTEVsDSzFwSEZsAlwCfA/YHHszMUyPiJGBsZp7c
  DKQ/G9id0q14GbBT//khnDJiTThlRDtOA9Ce0wCszGulPa+V9pwyoj2njFhzQ2npehEwvbkDcRTw
  w8z8VTPG67yIOAaYT7ljkcycFRHnAbOApcDxA6YrSZKkEcLJUTcotnS1Y+tFe7ZerMxrpT2vlfZs
  6WrPlq41599elCRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg
  6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl
  SZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5Ik
  qQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIF
  hi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxd
  kiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqYJhHboOOABmz4Y5c+DEE1fevsUWcNFF
  cMMN8Ic/wHvfu3zbd74DixfDTTet+Jxzz4Xrritfd9xR/teG72LgpcDOwKlttj8AHAS8Cng58P1m
  /V3A3sDLmvX/3/ouqKQNyjXXwNSp8J73lPeP/pYsgZNOgmOPhWOOgYsvXr5tyhR4//vhAx+Af/iH
  emXW8BWZ2ZkTR+RA544IIpLbboN99oG774Zrry0X8Jw5y/f7zGfgec+DT38attyybOvqgqefhj32
  gEcfhR/8AF75yvZl+PKX4eGH4V//dT28wPUi6NT3aziLCF4M/ArYFng9MIMSwvp8DngC+AJwP/AS
  oLdZXkwJY48CrwUu7PfcDVWA10s/EYE1sjKvlfYigm23ha98BbbaCj70ofK+M2nS8n2mT4cnnyzB
  asmSEtB++lPYaCN417vgW9+CTTft3GtYH/baa2ReLxFBZsbaHGPYtnTtthvMnQsLFsBTT8GMGXDY
  YSvus3jx8ot5003hgQdK4AK4+mp46KFVn+OII9p/ctGGZydgMrAxMIUSnFqNA/7cLP8Z2BIY3ax/
  VbP+hcAuwKL1XVhJG4wJE2DcOBg9Gvbeu7y3tBo7Fh57rCw/9hiMGVMCF0AmLFtWt7wa3kZ3ugAD
  GT8eFi5c/viuu0oQa3XmmfCrX8GiRfDCF8KRRw79+HvuWULbHXesm/Kqsya2LE8Arum3/QPAPpSW
  sEeBH7c5xjzgRmD39VA+SRumrbdecXn27BW3H3IIfPKT8M53wuOPl5awPhFwwgkwalTZ75BD6pRZ
  w9ewDV1DccopZczW3nvDDjvAZZfBK14Bf/nL4M896ihbuUaSLwCvBK4E/gTsB/yB0roFJYi9Ezit
  ZZ0kDeacc+DFL4avfrU0AJxwApx1FmyyCZx+ehn68vDD8KlPweTJ8PKXd7rE6qRh2724aNGK/eYT
  JpR1rfbYA84/vyzfcQfceSe8dAiDcUaNgre/HX7crrlDG6QFLct3AeP7bb8a+Ltm+cXA9sCtzeOn
  KIHrPUC/HmxJI9y99y5fvu++FVu+AG65Bd785rI8fnzpilzQ/ELacsvy/+abw5vetHIrmUaeYRu6
  rr0WdtyxBK+NNy6D6GfOXHGf2bNh333L8jbbwM47r9hdGFG++ttvv/Lce+5Zf+VXXbcD84EnKYPo
  D+23fRfg8ma5F7gN2KF5fAywK/Cx9V9MSRuYRYvKUJSlS+GKK+CNb1xx+6RJcP31ZfnBB8tQmBe9
  CJ54onQ3Qvn/2mth++3rll3DUGZ25Kucur2urskJ5AEHHJC33npr3nbbbXnSSSclkMcdd1x+4AMf
  SCC33HLLnDlzZt54441500035ZQpUxJIIM8+++xctGhRPvHEEzl//vw8+uijn9n23e9+95ljbEhf
  XV2TB6yzkWxyV1fHvzfD8WtyV1envzXDjteK18rqmDjR66Xd18SJI/N6ATLXMvsMyykjJEmShpNn
  9ZQRkiRJzyaDhq6ImBARV0TEHyPi5oj4aLN+bERcGhFzIuKSiNis5TmnRMTciJgdEfuvzxcgSZK0
  IRi0ezEixgHjMvPGiHghcB3lJq/3AQ9k5pci4iRgbGaeHBG7AmdTJgafQBm/vFP/vkS7FyVJ0oai
  SvdiZi7OzBub5UeB2ZQwdRgwvdltOnB4s3woMCMzn8rMecBcoN+0ppIkSSPLao3piojtKH815bdA
  V2b2QglmwDbNbuOBlrnkWcTK0yZJkiSNKEOekb7pWvwJ8LHMfDQi+vcNrnZf4bRp055Z7u7upru7
  e3UPIUmStM719PTQ09OzTo85pCkjImI08Evg/2Xmac262UB3ZvY2476uzMxdIuJkylwWpzb7XQx8
  NjN/1++YjumSJEkbhJpTRnwXmNUXuBozgaOb5fcCF7asnxIRz4mI7YEdWfnvD0uSJI0oQ7l7cQ/g
  P4GbWT4j7acpQeo8YCLlL7AckZkPN885BXg/sJTSHXlpm+Pa0iVJkjYI66KlyxnpJUmSBuGM9JIk
  SRsIQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElS
  BYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoM
  XZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLok
  SZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIk
  VWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA
  0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFL
  kiSpAkOXJElSBaM7XYB2xo3bjt7e+Z0uxrDT1TWZxYvndboYkjQiTJo0joULeztdjGFn4sQuFixY
  3OlibJAiMztz4ogc6NwRAXSmXMNb0KnvlySNNBHBlVd2uhTDz157MSLfiyKCzIy1Ocag3YsRcVZE
  9EbEH1rWjY2ISyNiTkRcEhGbtWw7JSLmRsTsiNh/bQonSZL0bDGUMV3fAw7ot+5k4PLMfAlwBXAK
  QETsChwB7AIcBJwRpdlKkiRpRBs0dGXmVcBD/VYfBkxvlqcDhzfLhwIzMvOpzJwHzAV2WzdFlSRJ
  2nCt6d2L22RmL0BmLga2adaPBxa27LeoWSdJkjSiraspI0beiDpJkqTVsKZTRvRGRFdm9kbEOODe
  Zv0iYGLLfhOadW1NmzbtmeXu7m66u7vXsDiSJEnrTk9PDz09Pev0mEOaMiIitgN+kZkvbx6fCjyY
  madGxEnA2Mw8uRlIfzawO6Vb8TJgp3ZzQzhlxJpwyghJqsUpI9pzyog1N2hLV0ScA3QDW0bEAuCz
  wBeB8yPiGGA+5Y5FMnNWRJwHzAKWAscPmKwkSZJGECdH3aDY0iVJtdjS1Z4tXWvOv70oSZJUgaFL
  kiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJ
  UgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQK
  DF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6
  JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmS
  JFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmq
  wNAlSZJUgaFLkiSpAkOXJElSBcM6dB1wAMyeDXPmwIknrrz9k5+E66+H666DP/wBli6FzTaDnXZa
  vv766+Hhh+Ef/7E85x3vgJtvhqeegle/uu7rkSRtWK65BqZOhfe8B849d+XtS5bASSfBscfCMcfA
  xReX9ffdB//zf8LRR5f1F1xQtdgapiIzO3PiiBzo3BFBRHLbbbDPPnD33XDttTBlSglg7bzlLfDx
  j8N++/U/Ftx1F+y2GyxaBDvvDMuWwbe+BZ/6FNxwwzp+YetV0KnvlySNNBHBttvCV74CW20FH/oQ
  fOYzMGnS8n2mT4cnn4QPfKAEsKlT4ac/LcsPPgg77giPPw4f/CD8y7+s+NwN1V57MSLfiyKCzIy1
  OcawbenabTeYOxcWLCitUjNmwGGHDbz/UUe1/xSy777wpz+VwAVw221w++0ljEmStCoTJsC4cTB6
  NOy9N1x99Yrbx46Fxx4ry489BmPGwEYbwRZblMAFsMkmJWzdd1/dsmv4Gbaha/x4WLhw+eO77irr
  2nne8+DAA9s33x55ZPswJknSYLbeesXl/sHpkENg3jx45ztLF+NHPrLyMRYvLh/2d911vRZVG4Bh
  G7pWx1vfClddVZpzW40eDYceCuef35lySZKe3c45B178YvjJT+Db34bTTivdiX0efxw++9kSxjbZ
  pHPl1PAwbEPXokUr9n1PmLC8i7C/KVPat2YddFAZTH///eunjJKkZ7d7712+fN99K7Z8AdxyC7z5
  zWV5/PjSFblgQXn89NMlcO23H+y5Z53yangbtqHr2mtLf/ikSbDxxiVYzZy58n5jxpQL/sILV942
  0DivPo7rkiStyqJFpXtw6VK44gp44xtX3D5pUrlLHsrA+bvughe9qDw+9VSYPLl0PUowjO9ehOSA
  A0pT7ahRcNZZ5QI+7jjIhDPPLPtOnVqmlnj3u1c8xiabwPz5sMMO8Oijy9cfdhicfnq5E+Xhh+HG
  G+Hgg9fPa1z3vHtRkmqJCE49Fb7+9XLX+8EHw7veVRoAIsrQliVLyntTb295zrveVe66v/nmckf9
  9tuXfSPKmK/dduvsa1oXvHtxLY4xHEPXuHHb0ds7v3KJhr+ursksXjyv08WQpBFh0qRxLFzY2+li
  DDsTJ3axYMHiThejumdt6JIkSRpOhvU8XRFxYETcGhG3RcRJ6+s8kiRJG4L1EroiYhTwdeAA4GXA
  URHx0vVxrmebnp6eThdhWLJe2rNeVmadtGe9tGe9tGe9rB/rq6VrN2BuZs7PzKXADGAV88mrjxd6
  e9ZLe9bLyqyT9qyX9qyX9qyX9WN9ha7xQMt88tzVrJMkSRqRhu08XZIkSc8m6+XuxYh4AzAtMw9s
  Hp8MZGae2rKPty5KkqQNxrCcMiIiNgLmAPsA9wDXAEdl5ux1fjJJkqQNwOj1cdDMfDoiPgJcSunC
  PMvAJUmSRrKOTY4qSZI0knRkIP1Injg1Is6KiN6I+EPLurERcWlEzImISyJis5Ztp0TE3IiYHRH7
  d6bU61dETIiIKyLijxFxc0R8tFk/0uvluRHxu4i4oambzzfrR3S9QJkLMCKuj4iZzWPrJGJeRNzU
  XC/XNOusl4jNIuL85nX+MSJ2H+n1EhE7N9fJ9c3/SyLio9ZLnNJcI3+IiLMj4jnrvE4ys+oXJejd
  DkwGNgZuBF5auxyd+gL2BF4F/KFl3anAic3yScAXm+VdgRso3cDbNfUWnX4N66FOxgGvapZfSBkP
  +NKRXi/Na31+8/9GwG+BPayXBPgE8CNgZvPYOoE7gLH91lkv8H3gfc3yaGAz62WF+hkF3A1MHMn1
  QskkdwDPaR7/GHjvuq6TTrR0jeiJUzPzKuChfqsPA6Y3y9OBw5vlQ4EZmflUZs4D5lLq71klMxdn
  5o3N8qPAbGACI7xeADLzsWbxuZRfjg8xwuslIiYABwPfaVk9ouukEazcezGi6yUixgBvyszvATSv
  dwkjvF762Rf4U2YuZGTXyyPAk8ALImI0sAmwiHVcJ50IXU6curJtMrMXSgABtmnW96+rRTzL6yoi
  tqO0BP4W6Brp9dJ0o90ALAZ6MnMW1stXgROA1gGpI71OoNTHZRFxbUQc26wb6fWyPXB/RHyv6Ur7
  dkQ8H+ul1ZHAOc3yiK2XzHwI+AqwgPL6lmTm5azjOnFy1OFpRN7dEBEvBH4CfKxp8epfDyOuXjJz
  WWa+mtLy96aI6GYE10tEvAXobVpGVzVfzoipkxZ7ZOZrKK2AH46INzGCr5XGaOA1wDeauvkLcDLW
  CwARsTGlxeb8ZtWIrZeI2IEybGEysC2lxevdrOM66UToWgRMank8oVk3kvVGRBdARIwD7m3WL6L0
  s/d51tZV05z7E+CHmXlhs3rE10ufzHwEuAh4HSO7XvYADo2IO4Bzgb0j4ofA4hFcJwBk5j3N//cB
  P6d0dYzkawVKT8rCzPx98/gCSggb6fXS5yDgusy8v3k8kuvldcDVmflgZj4N/Ax4I+u4TjoRuq4F
  doyIyRHxHGAKMLMD5eikYMVP6TOBo5vl9wIXtqyf0txBsT2wI2Wi2Wej7wKzMvO0lnUjul4iYqu+
  O2UiYhNgP8rAzRFbL5n56cyclJk7UH53XJGZ7wF+wQitE4CIeH7TUkxEvADYH7iZEXytADTdQgsj
  Yudm1T7AHxnh9dLiKMqHlz4juV7mAG+IiOdFRFCulVms6zrp0F0CBzYvcC5wcifK0Kkv/v927t4m
  YiCKwuiXkCAhAX0gCiAgow96IKGpLQBRA8uPEB2QUAEBEsF4xRYAQ+BzwpEDz5VtPcvveXw7f68+
  G9+Or6uT6n7J5K463jv+tjEV8VZd/ff5/1EmF9VXY5J1Wz0s18jpynM5W7LYVk/VzbK+6lz29nrZ
  z/TiqjNp9C7t7p+X3XN17bks+zxvvOw/VpvG9KJc6rD6qI721ladS6NX9LV6bjTNH/x2Jn6OCgAw
  gUZ6AIAJFF0AABMougAAJlB0AQBMoOgCAJhA0QUAMIGiCwBgAkUXAMAE30faYX2fN+aCAAAAAElF
  TkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f79605d8dd0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "scores/MINIAE_TANH_H100_DO50.shelve
  "
       ]
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3XdYFNfXB/DvpQsIYsEOKBYMKmqMJTbUqGg0tiS2GGOa
  JjFRo7GkGGKLJSbG1xJNs7eoUfypSEzEXlDsYgERECnSpcrunvePyy5LX9mVFTif5+FhZ/bunTt3
  Z8+cuTM7K4gIjDHGyicTYzeAMcZY6XEQZ4yxcoyDOGOMlWMcxBljrBzjIM4YY+UYB3HGGCvHdAri
  QggvIcQtIcQdIcTMQp6vJoTYI4S4IoQ4K4R4wfBNZYwxll+JQVwIYQJgJYB+ANwBjBJCuOUr9iWA
  S0TkAWAcgBWGbihjjLGCdMnEOwC4S0RhRJQNYDuAwfnKvADgPwAgotsAXIQQtQzaUsYYYwXoEsTr
  A4jQmn6QM0/bFQDDAEAI0QGAE4AGhmggY4yxohnqxOYiAA5CiEAAnwC4BEBpoLoZY4wVwUyHMpGQ
  mbVag5x5GkT0GMC76mkhRCiAe/krEkLwjVoYY6wUiEgUNl+XTDwAQBMhhLMQwgLASAA+2gWEEPZC
  CPOcxx8AOEZEqUU0hP+I8O233xq9Dc/LH/fFs+uLxERCWhohM9P46/Y89Ieh/x48IKSkPPvlFKfE
  IE5ESgCTAPgBuAFgOxEFCSEmCCE+zCnWAsB1IUQQ5FUsk0uqlzH2bBEBzZsDr78OfPONsVtT8URG
  Aq6uwKuvGrcdugyngIh8ATTPN2+t1uOz+Z9nrDKIiQGUSqBevbJZXno6EB4OODkBoaGAu3vh5Z48
  Afz8gNhYwNcXCAwERo8G2rQpm3bqIiMDOHAA6N0bcHAwdmue3pYtwMiRwKFDwLp1gJ0d4OUFVKtW
  tu3gb2waiaenp7Gb8Nwoz32xahWwfLnh6iupL3x8gI8+Av78E2jZElCpCi/n6wsMGiQfE8kA/sor
  QFaW4dqqr59/Bt54A1i/vugyz+u2QQRs2AC89x7w44/Af/8Bc+YA27eXfVt0ysSZ4T2vG2dJkpKA
  EyeA1FT5ATQzwBaka1+EhgIREUD37votLz4eWLECyM4GOnYEBg8Gzp6VmdTjx4CNjQyQuoiOBky0
  UqEbN4C0NKBDh9K1Td0XERHA7dsy8Gq7f1/+ZWTI6RMngB498pY5cwbYsUM+btpUBu4ffwQuXZKZ
  77BhT9+uPXtkxmxv//SvzW/9euDtt4GNG4GxY4ErV4Bjx4AGDeTwhLbito3du+UR0OHDwKxZgJVV
  4eWysmTZ0aP1b/uDB8CaNUBKinwPunQBunUDxowBFiwAwsLyln/0SG5b6h2qLi5dAv76K3e6Vavi
  y3MQZ0/l2DFg3jzg7l2gdeuiD+efhS1bgIAA/YP46tXAqVOynvHj5djmDz8ApqbyeaUS2LVLt7qi
  owFb29zpOXNkoCttEFdbtgy4fr1gEA8Lk4EkJASwtpbvR/4gvmQJsHcv8MUXMrhERcn5AwcC/v5P
  H8RTU4Hhw4GtW4FRo0q9SgBkEjB+PJCYKIPrxx/LI4v584FGjeSwhC4ePJBJRJUqcmfcs2fBflC7
  elXuLDw99R/2WrRILrtDB2DTprw7cGdn4ODBvOW3bQMmTwYyMwFLS92WMWUK4OYm6yOS/VOssjyT
  KxfHCrNvH5Gvb8H5R44QDRlC9PDhs2/D778TjRpF9OSJnN68mejUqbxlli8natCACCA6cKDkOufN
  I4qPJ/riC6KwMP3a9/rrRB4eBedfvSrbTkSkUBC9/z7R//2fnFapiN57j+jnn+X0li1ENWsSnT0r
  p/v2JRowgKh+fSIrK7lulpZEAwfKv2+/zV1OdDTRG2/I+bNmyXkvvSSniYji4ojMzYk6dCD65hvd
  1ys7m2j06Nxl/vILUa1aRK6uBct6ecm+9/AgGjmSqG1bop9+IgoJyV3HRo1kmZs38772n3+IuneX
  j+fNI3r0iOirr+QyDx0i8vOTj6dPl2WOHpXTnTvL+lauzFvf8eNEixcTvfWW7FcioowMotmz5f9x
  44h+/ZXoyhWiwYOJtm0jmjRJ1mVuLvs2LY2oShWiGjWIbG2Jli0rvI+2b5fbZnIyUUSEbJOTk3zd
  u+8Svfoq0dChchn5P0c7d8plLl1aeN1paXKdVSo5/eOPcr2HDCG6c4do9WqiW7eIVq0isrMjunev
  8HpOnCCyt5f99Pnnsg8WLZLL3rtX1v/pp7LuLVtkn4waRZSURPTgAdHw4UR//CG3z6ys3HpHjybK
  iZ2Fx9WinngWfxzEi9auHdHbbxec36ULUbVqRDt2PPs2qD+sV6/KaU9PuSFrmzpVlgHkRl0SBwei
  f/+V5T/7TL/2NW0qPyT5jR0rl5OZKT/A1aoRtWwpn3v4kMjGRr4uKUkG6d27c18bHU3Uq5cM3EOG
  EFlYEF24QOTjQ7R+PVG9erllFy2SZfbsIbK2lsHXySk3MK5aJd9HQD6vDgolCQ0lcnSUy9y8mcjU
  VNZjaUmkVOYt26KFXD9ABixABu3PP5flw8Lksq9eLbj82FjZD7duyddNmiR3FkuXErVvT9SpE9GC
  BTKoZmUR9eghg72Pj6z/iy/y1jd0qKzHzU32q0KRGzA//VS2s2NHGeSrVZPLAoj69CE6eFAGOSLZ
  /zVqEP3vf4XvuIjkjrZaNblT+OYbohEj5PsZGkq0Zo2s18pK9s/YsXlfu3Sp7M+WLQt/T06dkq8P
  CCBKTJR9tHu33PmPHy/7c9w4ufxjx4p+H8PDZT3q9dy5k2jiRKKqVYnmziU6d46ocWOiDz6QZXr3
  JnrlFaJ164jmzJH9KATRJ5/krVe+XxzES+Xff2WHtm+fuwErFLLjp0yR2cucOUQvvECUmlp4HUuW
  EDVrJrNRIpnJqrMWIpl1TZkig0fdunKvqxYeLjfuL7+U2Y1aQoKs08lJBtoPPiC6eDHvcv/+m2j+
  fN3W89tvZRZmaysz002b5Mbu4CDnTZsm61NnFeq/GTOKrnPEiNxgsXKl/N+qFVFUFNGbb+Ytu22b
  XBcnJ9lf2uLiiAYNIoqJkcEYIOrWTQZsIqLHj+WHrlUreWTwzjuyDisrIn9/+eHt1Utmah99VHgm
  7+MjA9iBAzKzVsvOlhmjelkeHrkfYldXohs35PvWtq2c162b/PCr+yclJbeuffvk+nXrJuvV5u8v
  d9Zqr7wiMzJHR6LISDnv+HEZrC0siIYNk/XHxRFVry7n1awpt9MRI2TgLIqTk3xfu3eXAWPaNLlN
  u7jIQJydLYNJx45ye1RnhFu3yvftgw+ILl2S8955R7Zj927ZB0eOyMCuTgZWrZIB0N5eBlJ1v3z0
  Ud42bdpE1K+fXLa1tQzYcXFyZ+rqKoOvg4Osz9ZWbgfqNhDJco0aySMTgKh167z1T5oks2sXF7m+
  6m1NnfWvXi3rdXCQfT5ypJx/757s206d5A7ytdeK7lci2Y+A3AmbmsrMun9/mXm/9x7Rxx/LYO7r
  K8stXixjiHqdzp6V78GFCwXr5iCuRb0nVqnkn1JZMNtRz589W/bQyy/Lw6iICKLr13M3xm7d5N65
  QQOi06fla9X1KZVyWMLRkcjZWQbJ9HT5wWjTJndZAwfKuiZPJjIxkY8vXZJt2L1bbtB79siNXN3O
  s2dlQLl/X354ADmEoK1Xr7wBKT1dbmTqNmr/b9VKDlU4OclMbPJkmdHVri0P9wD5oa5RI28QVwdj
  7b5UqeSyTEyIvvsut5yzswys27bJD0RmpsykkpLkOuzYITMiR0e5w1M/9+OPso5XX5X1qJetzqZ/
  /VX24WefybLu7kSBgfL/66/LslOnEn3/vQwQkyYVvl2kpeX9r+bsTHT3rpxvZZUb0IcNk8MYgAw0
  CoX8ICYlyfcYkIfiarNny0P2l16Sh9ba78vvv+fdeasDZ4cOucNZr78uA2FMjHxNTExuezt0kO/P
  /v1yuYsWFb6ORDIBuH9fvldRUbnbREqKHKogkjuCOnVkVqp2+rTcHgAZkBQKmUAcPCifX75cZsAN
  GhAFB8vhASIZOAcNktu0OltevDhvm9TbDJHcEQEywI4bJ5OkUaPk50+lkjs19bprS0vL/byamcn3
  Sb19Dxwo+/ybb+Tzf/0ld4p16sht7d135VDU/fvyT3so49EjWZf6f0nS0+VOpFcvufNp0UK+b926
  yc9PaKjsdyB32Ed7nbSXrY2DuJb+/WUQ9PKSwxe9eskN7fHj3DJbt8q96IAB8k04dIhowgT5Ia1e
  nahhQ6IxY2TG8vbbMiOpXl2OcXXpIrOCvn1l4O3SRR5aLlggXzdggPx/5YpcVsOGcsO9fVu26fXX
  ZdD59tvcLPzBA5nNqDPf7dtlOSKijRvlIZ+DQ+4OKj5e7t2treWH7eFDOa0OuoMHy2GBIUPkhmlm
  JjOOoUPlxl2lijzkHTBATo8YITfMIUPkFlOnjjwcbN9e1jdzpswwpk2Th98BAbKcemihTh1ZX+vW
  8gMNyB2Gra38cLZvnxtMhg6V89R/1avL/qtRQ2as7dsTde0qD9HXr5dt9fWVAXzChNxAO26cXKfG
  jWUWfOiQXO5vvz3d9tKjhzyiqV07b4a3cqVsX4sWcsdz+7bcjohkJlerlhwjVRs1SmacW7fKNu7f
  L5MC9dHFl18WXPaYMXKoICFBLishofA2fv010YYNMmno0SM3gJbWunUFj+Li4uR6vvee7ItJk+R2
  fveufD4mRg4bVK2aNymaOFEe4WRlyR3YJ5/IhKYoX34pX6P+nEVGyh3IiBElt3vt2tyd6okTMtE5
  c0buiG/ckOcNevfObd9rr8l+dXAoPPstrRkz5PthYyM/g+fPy3b16JFbpls3uWPQFQdxLS1ayENV
  JycZvNSZ3caNMss+fVpuoGZmMsvWPomRni6Dqbd33jqXL8+boWr/rV0rM61atXLHTmfPloHfz6/g
  Rn/njvyQqLM59Vj44cMy84mNlZnMtGl521CvntzLE8lhoK5dZQDbvl2WfeMN2fbAwNyM39RUHko6
  OMjp7dvl6//5J7dPCtO1q9zJWVvLrKJHD9mf1avLTGzdutw6mzTJPVIYOza3X0xMcrOvp3X8uDw6
  Ug+BEMnMvGHD3LHwAwcoz/j+w4ekGfd8Gm+/LXc2QMGxVqLcDH3nTrlzVBs6VGZ3yckyaejcWbab
  SO58eveWw2gjRsi6Fy4sWPfevTLL/vpr+f49L06cIHrxRbmT1M5OBw7MOyxU1nx95c5+/vzcI9S2
  beVnXtfzE4ZkZyd37Glpsi3qk++lUVwQr3SXGCYkyMuzIiPlpWTDhslL5ebNk9++s7OTl2R5eclL
  zlxccl9bpYq8hKxr17x19ukDeHvLb8c1bSov/YqJkdNvvimX2aIF8NVXsvyHH8ovCXz3nfyvfZlS
  06bAiBGAQiEvSVIvy8MDOH4caNwYGDoUeOmlvG3w8JDX27q4yP8eHkDfvsD//Z9cjxUr5HW0I0bI
  y62qVJFlt2wBZswA7twBXntN1tWzp7z0a+jQwvuwenV5+VPduvLaXiL51e6GDYF//wWWLgU++URe
  wzxqlPwCRL9+8pry8HD5bcKkJNmG0nB2Bq5dA4SQ66ieFxGRO923L/DOO/JSLQCoU0f2u67Xf6v1
  7y8vI+zfX14Cl5/6ErcLF2Sfqzk6ykvL/v5bXtanbiMgL9fbtUteD7xypfy2orrd+Ze9caO8jPCH
  H56u3c9S69ay7a6ueS+bmzZNXttuLG3bAu+/Ly9hPHZM9q2Pj/yMiUJvHfVsOTvLPrK2BiZMkJ+R
  Z6Ko6P4s/lCGmbhSWfBMskolM+yePeVJHfXJp4wMmaXOnJl72F3YuJux1a4tsx9TU3kyTtusWTL7
  8/GR2eO6dQVfr86wtQ/zS2P8eDk8NGyYbE+dOrnP/fij7OPY2KJfP3167smj0sjOlsvo1i13Xlyc
  XLejR0tfb2lVqyaPDLSveunbN/eoo39/+T//Cc3yrFGjvJdfsoIGDTJcH6EyDqfcvCkPrbQlJ+ce
  ynfsmHstMRHRrl1y/C07W56weh79+accKpk0qWCQvHpVnvV3cJB/QUEFX69QyDP8+h5aHj0ql/ff
  f/IQ9s8/c59LTCx6GEbtwoXcoYXScnHJe5JSpZI7kPwnqctCw4ZyuwoOzp13+bIclwfk+mpvaxXB
  5s1l892F8uzQocI/h6VRXBAX8vmyIYSgslre0aNAr17y0N3cXM4LDQWaNZNDFaNHy6GEimbSJOD8
  eflXkfXsKb+N+P77xm6JPGwOD5fDc9pDY1evymGv1NTcbZCx0hBCgIq4n3iFHROPjpb/Hz3K/apt
  fLy8D8FnnwEvvmi8tj1L3t5AXJyxW/HsLVtW8D4bxvLHH/Ir5Cb5bifXsqW8rwcHcPYsVdhMfPly
  YOpUea/f5cvlfQ4cHYF9++QtOhljrLyo1Jn4gQPyaootW4DatfW/eRJjjD1PKtz9xCMj5e0ho6Lk
  pXXW1sDOnfISt6goeRkcY4xVFBVqOCU6Wl5LPWKEvC7U3R2oX1/eC9nKSo5bWloWHLtkjLHnWaUY
  Tjl7VmbgVarIk5fR0fJLLTY2MhsHSv/lEsYYe15VmEx84kQ5fLJmjfxVkzfeeCaLYYyxMlcpMvGj
  R+VPMNWpwycvGWOVR4XJxO3t5W8PlsdfzWaMseIUl4lXiFN86enyN+yqVTN2SxhjrGzpFMSFEF5C
  iFtCiDtCiJmFPF9DCHFICHFZCHFNCPGOwVtajJgYeQ24Me5UxhhjxlRiEBdCmABYCaAfAHcAo4QQ
  bvmKTQJwmYjaAOgJYJkQoszG22Ni5Fg4Y4xVNrpk4h0A3CWiMCLKBrAdwOB8ZaIBVM15XBVAPBEp
  DNdM4O5deY/rwkRHy0ycMcYqG12CeH0AEVrTD3LmafsVgLsQ4iGAKwAmG6Z5EhGwdq28fPDOnbzP
  qVTym5iciTPGKiNDDXnMBnCFiHoKIVwB/COEaE1EqfkLent7ax57enrC09OzxMq//BJYt07ezGrT
  JvmLOB4e8puYr78OXL8OLFlioDVhjDEj8/f3h7/6J6FKUOIlhkKITgC8icgrZ3oW5A3KF2uVOQhg
  ARGdypn+F8BMIrqQr66nvsQwK0v+BFhAgPxJryFD5K0/e/eWX/A5cSL3p7oYY6wi0vcSwwAATYQQ
  zkIICwAjAfjkKxME4JWchdUG0AzAvdI3OdfBg/IeKC4uMvu2s5P3A69XD/j1V+DttzmAM8YqrxKD
  OBEpIa8+8QNwA8B2IgoSQkwQQnyYU+x7AO2FEFcA/ANgBhElGKKBGzcC48bJx0LIx0FB8scPiIC3
  3jLEUhhj5c1fN/5CliLL2M0wuuf6G5txcUCTJvKnr+zs5Lz4ePn1+jffBNavB6ZMeTZtPXT3EDzq
  eKBe1Xp61XM64jSqV6kOt5r5r8pkrHy7G38XUalR6O5c9ve5yFRkwn6RPQ6NOYRejXrleW795fUw
  NzHHmNZjyrxdz0q5/cbm9u3yZKY6gANAjRrAhx/Kb2caIoDvCdqDmNSYPPOUKiXe3/8+9t3ap3f9
  84/Px9oLazXTZx+cxY3YG3nKpD5Jxearm/VeFmNlaZrfNPRY38Moy77w8AKeKJ9g0clF+Oa/b5Ce
  nQ5A/vD71MNT8cH+D5CQYZDBgOfec30DrI0bgXnzSvnaKxvxWvPXUM2q6O/iP1E+wfCdw7Gs7zJ8
  3vlzzfxTEafw8PFD7Lu9Dw3tG6Jp9aYIjApEUmYSJrafCCEEDt49iKbVm6JpjaZF1q8iFc48OIO4
  9NwfvZzmNw11beti15u7EJMaA78QP1iZWWHs32PhYOWAV5u9WroVZkWKTInEqYhTeNP9zWe6nC1X
  t8DO0g6WZpYITQzFhPYTnsly/EL8YGlqidi0WLzhrt/tOh9nPcbOGzvxXrv3nvq19lb2AIA78XfQ
  rEYzADIBWnNhDSZ1mAQA2HdrH0xNTJGlyMLwF4YXW190ajTORJzB0BZDNfOOhh6Fb7AvvunxDWwt
  bHHk3hHUsq6F0xGn4WTvhH/u/YPIx5FoXrM50p6kwdPFE5amlnil8SvYE7QH77cr+EvaGdkZmHts
  Ll5p/Ap6N+5d4noqVArMOzYP8RnxqGtbF192+xJCCOy4vgMnwk9oygkITO08FY0dGhdZ16O0Rzhy
  7whGtRpV4nLVfG7nPwWZ13MbxIOC5K/0vPLK079WRSpM9p2Me4n3EJ0ajbk958LRxjFPmdQnqfj4
  wMeaxxuvbEQDuwbYeWMnbMxt4FbTDYdDDuNwyGF41PbAzUc3ka3KxtAWQ1HHtg6+O/YdhroNxayu
  swDIjfXo/aNY2mcpzE3lL+MGPQpCVYuquPHoBhIzEvHzuZ8R9CgI12Ku4XHWY7y//30cDj6Mt1q/
  hVaOrfB/5/9PE8RPhJ2AmYkZOjfsDAC4FHUJcelx6OPaBwBwNeYqIlMi0b9pf806ZSmysCpgVZ4d
  0rOy4twKTHhxAizNLAt9PiUrBduvb8eHL36YZ356djo2XN6Aj1766Jm2L1uZjR/P/IjPOn6GXTd3
  Ye7xuYhMiYRzNWccDzue530qaV10kZKVgvd83kOWMneM9oMXP4CJKHiw+0T5BCvPr4SDlQP6uPaB
  /31/eLp4oqZ1TawOWI2pnaZCFHG2nojwycFPEJwQLKfdix+ejEuPg7e/N0a1HIUuTl0KPH/k3hF8
  euhTvO3xtqY/ACAhIwHrL6+HqTDF9djrMDc1x5fdvkQDuwaaMveT7qNe1Xo4E3FGE8RDEkPw6aFP
  4dXEC7tu7sLP535GdGo0bMxtcPDuQfRs1BNvtZYnskITQ7H41GJM6zwNTWs0xeqA1Vh5fiVebfYq
  Dt49iAZ2DTD18FSYmZjh9IPTcKvhhh03dqCva1+Ym5rjm+7fwK2mG8KSwjD9n+mITo3GCPcRcHd0
  RzenbrgcfVnT1sCoQMSnx8Pa3BobrmzAlmtbcC32WolB/FbcLay9sBaHgg9hUodJ+OH0D+jh0gN7
  b+3Fxisb8XX3rzXv8amIU/js0GcY32Z8kTuso/ePYprfNIxsObLI91hbdGo0Ptz/YbFlntsgvnEj
  MGaMvEf407r56CaSMpOw9PRSpGeno3ODzhjXZhzORJxBSlYK+jXph+l+05GclYyZXWZi89XNCE4I
  hoWpBbJV2ahmVQ3veLyDW3G3AACxabE49/45vLnrTYQkhMDO0g6BUYFoWj03C196eilOR5yGvaU9
  7iffR/u67VHfrj7a1m2LurZ10fG3jqhqWRUHxxzEJwc/wdf/fY3IlEj0de2LPy//iQOjD2D07tGI
  T4+HmYkZuq/vjrZ12mJMqzH4vPPnWHhyIXbd3IW9I/bCwtQC++/sx4YrG3Bl4hU0qd4El6Mv45cL
  v2DtxbUY02oMatsW/hXWK9FXcD7yPKJSozCl0xSsCViDL7p8ARNhgmxlNn44/QOmvzw9zwc6v6TM
  JEzxnYJODTqhQ/0OhZYJjArEzCMz8UG7DyCEQGxaLHbf3I0WtVrgi3++0BzRPAs3H93EFN8pOB52
  HLFpsYhIiUByZjI+9/scNarUQHxGPCa2nwi3mm7IyM7A1MNT4VHbAz1cSj804HPbBz0b9cT0ztMx
  YtcIxGfEIzIlEg3t5e8BXoq6hIiUCLzW/DX8E/IPpvlNAwD0adwHR+4dwdI+S5GQkYCFJxfi5YYv
  o1ODTthxfQdsLGyw6+YuEAgd63fEjdgbeJz1WLPcBykP4H/fXxMY8/vz0p84H3kef9/6G4tfWYym
  1ZuiY4OOiHochTlH5yDgYQAyFBnwC/GDz20fZCozNX14LeYaGtg1wMwuM3Hh4QW8u+9d+I3N/ZXx
  4IRgDHUbiuux1zXz1I+H7hiKu/F38UKtF7Bl2BbYW9rjwsMLmOY3Da0cW8Gjjgd23dyFrde2QkUq
  rB24Ftuvb4elmSWG7xyOk+EnYWFqATMTMwR9EoTdN3dDoVJgUPNBGPv3WNSoUgMzXp6BtnXbomP9
  jlCRCtGp0ZhxZAY+6/AZGto1xL+h/2ratejkIvx18y/UtqmNhIwEfOf5HZaeXgoVqTRBeE3AGvR1
  7QvX6q6a1y09tRR/XP4DS/ssxaQOkxCTGoPhO4fDo7YHfN/yRbu67TRlBzQdANcVrjhw9wDo28J3
  riEJIYhKjcKYPWPQw7mH5mht3rF5CE6UO+b2ddsjU5EJhUqBMw/O4L2272EhFha57Rk1iH/7LdC6
  NTA8305LqQQ2bwYOHSpdvf+F/gdTYYr07HQMaDoAC04sQJYyC97+3nB3dIeZiRl8g31xZeIVXI6+
  jMWnFuOdNu9g/eX1+LDdh1gXuA4v1X8J/uP80Xtjb7Sq3Qpt67ZFh/odEJIYgrTsNFQxq6LZYLMU
  WbgcfRljWo/B3ONzsaj3Iiw7swxt6rSBk50TFvdZjL239qKnS0/UrVoXrg6u+DXwV6wduBa9GvXC
  sbBj6OvaF61qt8K12GsQkMEtKC4I0/+ZDv8wfyRkJMBEmGD8vvFo7NAY2apsDHEbgvd83sOYVmOw
  +epmnAiX2fvhkMMISwrDrK6z8PGBj5GanYoaVWqgafWmWHZmmWZ4Z/3l9QhNCsWIliPgUs0F84/P
  x9zjc9G2bltNJuVSzQXt67XX9G1kSiTe83kPBML12OuaID732FwICHzd/WsIIRCeHI6kzCQ8fPwQ
  9e3qY/y+8Th49yCW9lmKtOw0hCSGYP/t/RjrMRa/B/6OmV0L3Fctj5/P/ox7ifew6JVFmOw7GT2c
  exQ4cXUn/g7+CfkHay6swRC3IVg1YBU8N3giJSsFB0YfwG+XfsOeoD3o3KAz7sTfwY7rO/BK41eg
  IhU+9/scqwasQqcGnfD1f18jJDEEANCmdhtN2+YdmwcTYYKvun8FQO7MVgesxuyus3H2wVl4uXqh
  d+Pe8H/HH+/7vI+QxBBNEN95Yyf23d6HQc0GYfuN7fDu4Y1mNZph9J7RGN1qNI6FHcPZB2cxzmMc
  Pj7wMf4Y/Afmn5iPyJRIdHPuJo/6jsyCu6M7jrx9BNnKbPTc0BPzj8/H1mtbcSvuFhraNcQLtV7A
  w8cPYWt9vJ35AAAgAElEQVRhi23Xt+Ho/aPYPHQz/nfnfxj791i0cmyFF+u9iAsPL8C9ljuuxFxB
  8xrNMWr3KLz+wuvo5SJPEnq5eqFjg44AgMYOjTG+7Xg0+LEBpvtNx8T2E1HbpjaSMpPQz7Uffrn4
  C9YErEFoUihszG1gZ2mHuPQ4XP/4OpQqJZrXbA4AeLHeiwhNCsXft/7GxaiLWHF+Beb0mIP5x+fD
  3MQcKlLhxPgTOBV+CnO6z0FCRgIcbRxhZ2mH8W3Ha97n7s7dcfDuQc3FAuam5hjrMRYKlQLO1ZzR
  qUEnPEp7hIjk3C+amwgTfNz+Ywx/YTiqWVVDS8eW+DXwV6w4twLnIs/hifIJfIN9Uf9sfXRs0BEL
  ei2Ag5UD9t7ei4OjD2pO3s7oMgNuNd0wsNlAzXCSWmOHxjj97ml4bfGC/31//Bb4G5SkxIt1X0Ta
  kzTM7DpTs11tu74NB+4eQOTjSMzsMhMLTy7EqgGrICAw2XcyzEzMULdqXViYWmDXm7uezyCekQEs
  Xw60bAkMHCh/+1LN1xdwdJTPPa2kzCQsOLEAs7rOwoITCzDxxYl4bftrmOI7BW+4v4G/g/7GqoBV
  +KrbV7C3skeT6k0AAAt7LcT0ztNxJeYK1gWuQ0O7huji1AXO1ZzRspZsiKuDK4ITgrHk1BL81O8n
  fHroU6Q9ScOE/01A85rN0c+1H06Fn8KMLjOgUCnw9dGvsfiVxbA2t8boVqM1bXR1cEWGIgOtardC
  fbv6mufU9QsIdHPqhhPhJzDUbSji0uNwOuI0xrcZjz8v/4lrsddgKkxx/v3zcF3hikkHJ0FFKviP
  88e/of/i4wMfIy07DbVsauHo/aOY13MeNlzZgD1Be/Dn4D/hXM0ZVS2q4lTEKSw/uxzXY68jNi0W
  v1z8BTO7zMSvgb/iRNgJ+Ib4wq2mG7YM2wIA2HRlE3bc2IHDIYcByKwrJCEEK86twLbr21DLphZM
  TUxxNeYqYtNiNWXMTMxwOuI03Gu5Y/3l9QCAxScX47dLv2Hv7b04HnYcw1oMQ9MaTbHk1BKMajlK
  E/wAOS7649kf0bR6U4zZMwY+t31wMeoi3B3dcSnqEm7F3cLC3gux4twKrApYheEthmNez3kQQuDo
  uKO4HXcbfV37IjYtFnfj76Jtnbb49NCnCE8Ox8Woi7Axt0FgVCAWnVyEDUM2YPnZ5Vg3aB0UKgUm
  HZyEaS9Pg4kwwcKTC6EiFTIVmchSZsHVwRVf/fcVHKwccD32Ooa6ybHclo4t0aJWCwQnBMPTxRNL
  Ty2F3z0/BMUF4UT4Cfzvzv9w65NbcLRxhFtNN1SvUh0uP7ugY/2OWP3qavx05ie8vvN13Eu8BwJh
  nMc4DGsxDC83fBmONo6a8zzO1Zyx9uJaNLRriOVnl4NAsLWwRWxaLKpaVIW7ozvWDVwHTxdPvNzw
  ZbSp0wZv730bDe0bYq7nXAxqPghfdvsSDlYOCHgYgEHNBhV5BGZmYoY3XngDv1z4BWcfnMXkjpPR
  zakbWtdujWsx1xCaGIqw5DA0sGuApX2Wonej3nkyWrUuDbtgyuEpiE+PR3JWMka4j0D7eu3x1p63
  MM5jHJpUb6L5TBZlpPtI3Im/gyrmeX9v0czETHPew8rMCuHJ4ZrnIlIi8MlLn6CbczfNvKmdpmKy
  72Qs91qOWta1sPiVxQh6FITN1zZj4v8mIjYtFkPdhuYZsqxqWbXYq146N+yMzg06Y+DWgZjaaSpa
  1GqB2f/ORnhyOO4k3MHWa1vx5+A/MajZILy9923MOz4PLR1bwsHKAe+2fRcAcDD4IOws7PBdz+9g
  IkxgYWpRbH+AiMrsTy5OOnKE6KWXiNq2JXr5Zc1s8vUlqlKFaNMmKpV9t/ZRn4196EbsDaq2qBqp
  VCq6GXuTbsbepMzsTGqxsgWZzzWn+PR4zWuuRF/RPD4bcZbgDQpLCiMion6b+tEfgX8QEdGGyxuo
  7S9tyeknJ1KpVOS+yp0Gbh1I/Tf3p+sx1ykjO4OCHgUREdHeoL0Eb9C2a9sKtPG3i7+RyXcmlJGd
  kWf+vGPzqN3adtRubTua898cMptrRqvPr6afzvxE8Ab5h/qT7UJbuhp9lU6FnyIios99PyevzV50
  I/YGERElpCfQ3qC99Lnv5wRv0IT9E4iIKCUzhUISQgq0Zfrh6TT/2HxyW+lGO67voOTMZHL6yYng
  DTL9zpTsv7en3wN/pwFbBlD1xdVJeAvadWMXbb26lXpt6EXd/uhGdt/b0cT9E+niw4tkNteMOv7a
  keANsllgQz+c+oGWnlpKY3aPoSmHphC8QfWX1Sd4g1yWu5D7Knf6wOcDare2Ha0+v5rgDfr26Lf0
  7dFv6f1971OWIotG7hpJq8+vpqvRVwneoHF/jyPrBdb05l9vkt33dgRv0Ojdo8nuezs6HHyYUjJT
  Ct02MrIz6NajW7Ts9DKCN+ij/31E8AZ95/8dnX9wnuy+t6MNlzdQjz97aF7zwqoXKPBhIAXHB5PT
  T07U5pc2ZPe9HbVf157svrej7098TzWX1CTbhbYU/Tha87r5x+aT+yp3mn9sPsEbBG/Q7COzye57
  O+q9oXeBtvkF+2m2OSKiUbtGUavVrUh4C4p6HFXo+jT+uTFVX1ydIpIjKPpxNAU9CqJT4ado9pHZ
  BG/Q9MPT85RXKBVk/709+QX7FVpfSRIzEik8KZwa/tiQWq5uSb9d/I1UKhXVWFyDLOZZ0Ay/GeT0
  kxMlZyYXWcejtEcEb9CuG7voZuxNzfz7iffpcdZjndqRrczWbO9FUalUZDnPkrZc3ULDdwwn87nm
  FJoYmqeMUqXM89lXC3wYSPAGrT6/mtKfpOvUJm134+/SPyH/kEqlIiKi0MRQWnJyCdkutCV4Q9OO
  yJRIGrxtMI3ePZq6/tFV8/rY1FhKSE/IU2dO7Cw8rhb1xLP40w7ie/YQDR5MpFAQ1a9PtHmzDOx9
  +xKtXfvU/UYJ6Qn01b9f0Qy/GeR91JtUKhXdenSrQLkbsTfoUtSlIuuJS4sj87nmlK3MJiK5canf
  yLCkMII3aNSuUURE9KHPhwRvFLpBBccHE7xBJ8NOFnju2P1j5LbSrcD8rVe3aj7wW69upaYrmtKJ
  sBMUEBlAtZfWJpVKpdlJqKVmpVJMakyBuqIfRxO8QesurCtyXYmI1l9aTy7LXaj1mtaaeeFJ4fTD
  qR/oxbUvUp+NfcjkOxNae2EtBT0Kojtxd0ilUlFyZjLZLLChesvqUdTjKErMSCQioqBHQRT0KIjg
  DXpt22vUf3N/qrmkJl2PuU6xqbF06O4hGrtnLMEbFJsaSzGpMfQ46zH139yfbBfa0tg9Y8l2oS01
  /7/m5LXZi9qtbUdVF1al2NRYUqlU9MKqF2jD5Q3U5fcuJLwFWcyzoCrzq1D9ZfXpTMSZYtdV7ffA
  3wneIIVSQYeDD2s+MF8e+ZKs5lvR7COzNWU/9PmQWq1uRU4/OZHXZi+adGASvbP3HXqU9oiOhBwh
  lUpFK86uoFpLamk+tERE8enx9O3Rb8n0O1NaeW4lWS+wJoVSQUdDjxYZlLWlP0mnB8kPCrzf2qIe
  RxUa+NSJyJqANQWeuxl7M087S2P64enkttJN87kYtHUQtVzdktKepFFEckSJr78bf1ev5euq6Yqm
  ZLPAhrr/2Z3gDXqieKLza+/E3TFoW7KV2RSSEELB8cF55i87vYysF1jTuL/HFfv65zKIb95MNErG
  Qlq/nqhXL/k3ZAhRYuLTddD+2/vpA58PyGaBDXX9o2upMw21wjJWtS6/d6FV51cREdHGyxvzBD9t
  SpWSbBfaFrpRK1VKupdwr8D8k2EnNUH8RNgJCkkIIZVKRSqVqsCbr4sHyQ9IoVQUWyY5M5mcf3Km
  7098n2f+E8UTup94n/4I/IOa/1/zQj/4r+98nab6Ti0wX6VSUa0ltWjthbUEb9CQ7UPyPJ+SmVIg
  01h3YR3BG3Tx4UU6G3FWE6AOBx+mq9FXNeXCksIoMzuTQhJC6HLUZfJc70lrAtZQZEpkif2Rf93y
  y1Zm03/3/svTtpjUGDocfJjgDRrx1wiKT4/PcxSnXt/wpPBC+0H9vpVV4CLKzXb1/RwUJTUrlWJT
  YzXTS04u0SQ2z5MbsTfoesx12nNzD8EbJb/ACPyC/QjeoHnH5hVb7rkM4r/+SvTuu8Wv4OYrm2n7
  te0ldsQHPh9ogp/ZXDN6lPaoxNeUVvTjaM0wyBPFk2KDh/bhsS5UKhWFJYVRWFKY3tnS04hJjSky
  S1GqlHk+sNqSMpIKDAmphSWFUXJmMsEbtPTU0hLbEPQoiOy+t9McAenqYcpDylJkPdVrSiMlM0Xn
  w31jU6lUVH1x9QLDB89K2pO0IreR54FKpSp0p/08UCgVdCLsRLFDUETFB3Gjnti0ti6+zG+XfkNA
  ZAACHgagpWNLvNPmnULLqc/4AkBN65qoaV3TgC3NS/vSPXNT82K/lu9k7/RUdQshnvo1hpD/Gnpt
  JsIEtWxqFfpc/rPz2tTr0ahaI3Rz6lZkOTW3mm4I+iQIZiZPt0nWrVr3qcqXVlXLqiUXek4IIXD9
  o+tl1jfW5tawNi/hw2xEQgg4V3M2djMKZWpiiq5OXfWqw2hBPD0dqFKl6Oezldm48PACvnj5C6w4
  vwIA8MPpHzCpwyRYm1vjp7M/4cDoA6hXtR5CEkJQ1aIq6lWtl+eqBmZ8594/V+ROID9971PDcpVV
  AGfG99xm4tdir8HZ3hlzeszBlE5TkKHIQHBCMIZsH4K2ddvicvRl/Bf6H9544Q1EpUbhwdQHWHdx
  HZKzkstuJViJdA3gjLHSMWomXqNG0c/fS7yHZjWaQQgBeyt72MMedWzr4KX6L8EvxA/DWgzDqfBT
  8KjtASd7J9SyqYUvunyhHntnjLFKwWh3MczIKH44JSI5Ag3tCg6NtKzVEipS4d027+KPy39gxK4R
  GNBkAADAwtRCr/tfMMZYeWO0IJ6eXvxwSkRKRKHj2y0dW6KKWRUMaDoAQZ8EIS07rcj7RjDGWEVn
  1DHx4jLx8ORwdGrQqcD89vXaw6OOB4QQaOzQGKGTQwu9UxxjjFUGz3cmXshwirujO868d0YzzQGc
  MVaZPZdj4kSEe4n3nttrOxlj7Hlh5CBOhV5NEpIYAktTS9S15WtdGWOsOEYL4mnpKvQ7bo01F9YU
  eO5U+Cl0ceryzH40gDHGKgqjBfH4qv7IUmUiNi0W2cpsqEgFQA6lbLq6Cb0blfzbd4wxVtkZ78Qm
  HgEA4tPjMX7feM0vwq8OWI3HTx5rbpDOGGOsaDpdYiiE8AKwHDLo/05Ei/M9Px3AGAAEwBxACwA1
  iSipqDozkQxrMxuEJoXi6P2jqGJWBUSEOf5zcHL8yae+ERJjjFVGJWbiQggTACsB9APgDmCUEMJN
  uwwR/UBEbYmoHYDZAPyLC+AA8ESkwNWhKXyDfWFhaoFrsdcQFBcEC1MLtKjVovRrxBhjlYguwykd
  ANwlojAiygawHcDgYsqPArCtpEqV5slo4tAUSlJimNswnIs8hza/tEFLx1L8sCZjjFVSuoxZ1AcQ
  oTX9ADKwFyCEqALAC8AnJVWqMk+Ga84PonZ37o64jDice3BO86PEjDHGSmbogedBAE4WN5Ti7e0N
  AFCFHIfyXh8ICLR0bIlxbcbh14u/opFDIwM3iTHGyhd/f3/4+/vrVFaUdOtWIUQnAN5E5JUzPQvy
  p4IWF1J2D4CdRLS9iLpIvTwxcij++mYsjof7Y0mfJbAys9KpwYwxVtkIIUBEhX5xRpcx8QAATYQQ
  zkIICwAjAfgUshB7AD0A7CupQiIAVsmoZmWPFf1XcABnjLFSKnE4hYiUQohJAPyQe4lhkBBignya
  1uUUHQLgMBFllFSnUgnAMhn2VnZ6NJ0xxphOY+JE5Augeb55a/NNbwCwQZf6lEoAVinF/tAuY4yx
  khnlG5uaTNySgzhjjOnDeEHcPB3W5sXcUJwxxliJjBfEhQqmJqbGWDxjjFUYRg3i/Ks8jDGmHyMG
  cSUHccYY05Nxh1MED6cwxpg+jBfETXg4hTHG9GWUKJqtkL/iwz+/xhhj+jFeEFfxUApjjOnLeEGc
  eCiFMcb0ZaQgroQw3s97MsZYhWGcIK5UAcTDKYwxpi+jBHGFQgXBwymMMaY3I2XiSmMtmjHGKhTj
  ZOJKFQQPpzDGmN74xCZjjJVjRsvE+RJDxhjTn9GuThHg4RTGGNOX8YZTOBNnjDG9Ge/EJmfijDGm
  NyMGcc7EGWNMX0a7TpyDOGOM6Y+HUxhjrBzTKYgLIbyEELeEEHeEEDOLKOMphLgkhLguhDhaXH08
  nMIYY4ZhVlIBIYQJgJUAegN4CCBACLGPiG5plbEHsApAXyKKFELULK5OBQ+nMMaYQegSSTsAuEtE
  YUSUDWA7gMH5yowGsJuIIgGAiOKKq1ChVMGEh1MYY0xvugTx+gAitKYf5MzT1gxAdSHEUSFEgBBi
  bHEV8nAKY4wZRonDKU9RTzsAvQDYADgjhDhDRMH5C3p7e+PEpShkxsfC398fnp6eBmoCY4xVDP7+
  /vD399eprCCi4gsI0QmANxF55UzPAkBEtFirzEwAVkT0Xc70bwAOEdHufHUREWHubxfxc8iHiP/+
  4lOsFmOMVU5CCBBRob8sr8uYRgCAJkIIZyGEBYCRAHzyldkHoKsQwlQIYQ2gI4Cgoirk4RTGGDOM
  EodTiEgphJgEwA8y6P9OREFCiAnyaVpHRLeEEIcBXAWgBLCOiG4WVadCqYS86IUxxpg+dBoTJyJf
  AM3zzVubb/oHAD/oUp9SxVenMMaYIRjtG5smnIkzxpjejBPEVfxlH8YYMwSjRFIVD6cwxphBGC8T
  5+EUxhjTG4+JM8ZYOWaUSMpXpzDGmGEYbTiFM3HGGNOf8TJxwZk4Y4zpy4hBnDNxxhjTl5GCOA+n
  MMaYIRgtEzfl4RTGGNMbD6cwxlg5xlenMMZYOWa8r93zcApjjOnNiGPinIkzxpi+jBPESQkTEw7i
  jDGmL746hTHGyjG+OoUxxsoxow2nmPJwCmOM6c1oV6fwcApjjOmPT2wyxlg5ZrwTmxzEGWNMb8YZ
  TiEVzEx4OIUxxvSlUxAXQngJIW4JIe4IIWYW8nwPIUSSECIw5+/r4urjr90zxphhmJVUQMhfNF4J
  oDeAhwAChBD7iOhWvqLHieg1XRaqIhXMTDkTZ4wxfemSDncAcJeIwogoG8B2AIMLKSd0XSiPiTPG
  mGHoEknrA4jQmn6QMy+/zkKIy0KIA0KIF4qrUMXXiTPGmEGUOJyio4sAnIgoXQjRH8BeAM0KK+jt
  7Y24wOO4GaeAf1N/eHp6GqgJjDFWMfj7+8Pf31+nsoKIii8gRCcA3kTklTM9CwAR0eJiXhMK4EUi
  Ssg3n4gILu/MRfceCmwcP1enRjLGWGUmhAARFTpkrcuYRgCAJkIIZyGEBYCRAHzyLaC21uMOkDuH
  BBRBpeLhFMYYM4QSh1OISCmEmATADzLo/05EQUKICfJpWgfgdSHERwCyAWQAGFFcnSpSwdzUQv/W
  M8ZYJafTmDgR+QJonm/eWq3HqwCs0nWhSuKrUxhjzBCM841NKGFqykGcMcb0ZbS7GPKXfRhjTH9G
  ysRVMOPhFMYY05uRboClhBkPpzDGmN6MEkmJ753CGGMGYbQTmzycwhhj+jPe/cR5OIUxxvRmxCDO
  wymMMaYv44yJQwkzM87EGWNMX0a7xNCcM3HGGNOb8TJxHhNnjDG9GScTF9mwNDM3xqIZY6xCMU4m
  LrJhac5BnDHG9MWZOGOMlWNlHsSJAJhwJs4YY4ZQ5kFcpYIM4pyJM8aY3so8iCuVgDDLhrkJB3HG
  GNNXmQdxhQKAaTbMTTmIM8aYvoyTiZtmw4J/Y5MxxvRmvEych1MYY0xvRsvEeTiFMcb0x5k4Y4yV
  Y0bJxGHCmThjjBmCTkFcCOElhLglhLgjhJhZTLmXhBDZQohhRZXhTJwxxgynxCAuhDABsBJAPwDu
  AEYJIdyKKLcIwOHi6uNMnDHGDEeXTLwDgLtEFEZE2QC2AxhcSLlPAewCEFtcZQoFQCaciTPGmCHo
  EsTrA4jQmn6QM09DCFEPwBAiWgNAFFcZZ+KMMWY4ZgaqZzkA7bHyIgP5ihXeUN1Iw5IFS9C3d194
  enoaqAmMMVYx+Pv7w9/fX6eygoiKLyBEJwDeROSVMz0LABHRYq0y99QPAdQEkAbgQyLyyVcXXbpE
  aPe3BTLnpPK3NhljTAdCCBBRocmxLpl4AIAmQghnAFEARgIYpV2AiBprLexPAPvzB3C17GziMXHG
  GDOQEoM4ESmFEJMA+EGOof9OREFCiAnyaVqX/yXF1fdEoQRUphCi2KFzxhhjOtBpTJyIfAE0zzdv
  bRFl3y2urqzsbAjiLJwxxgyhzL+xmal4AhMO4owxZhBlHsQ5E2eMMcMp+yCuyOZMnDHGDMQomTgH
  ccYYMwyjZOI8nMIYY4ZhnEwcHMQZY8wQjBLETTmIM8aYQZT9JYaciTPGmMGUeRB/ouRMnDHGDMU4
  wymCgzhjjBmCUa5O4UycMcYMwyjDKWb5MnEXFxcIISrEn4uLS1l3KWOsEjPUj0Lo7IkiG6Yi733E
  w8LCUNJ9zcsLvjsjY6wsGWE4JQvmwqqsF8sYYxWSEe5imAlzYVnWi2WMsQqp7MfEVZmwMOFMnDHG
  DKHsh1OUWRzEGWPMQIxwdUomzE14OIUxxgyh7IM4ZcKynGXiiYmJGDp0KGxtbdGoUSNs27bN2E1i
  jDEAxrjEUJWFqqblKxP/+OOPYWVlhUePHiEwMBCvvvoq2rRpgxYtWhi7aYyxSq7MM/FsVSYsTctP
  Jp6eno49e/Zg/vz5qFKlCrp06YLBgwdj06ZNxm4aY4wZIYhTJqzMyk8Qv3PnDszNzeHq6qqZ5+Hh
  gRs3bhixVYwxJpX5cEo2ZcGiFMMphvgiZGm+FJqamgo7O7s88+zs7PD48WP9G8QYY3rSKRMXQngJ
  IW4JIe4IIWYW8vxrQogrQohLQogLQoheRdVV2kycSP+/0rC1tUVKSkqeecnJyahatWrpKmSMMQMq
  MYgLIUwArATQD4A7gFFCCLd8xY4QkQcRtQUwHsC6oupTIBNVytFwSrNmzaBQKBASEqKZd+XKFbi7
  uxuxVYwxJumSiXcAcJeIwogoG8B2AIO1CxBRutakLYC4oipTUBYszcrP1SnW1tYYNmwY5syZg/T0
  dJw8eRL79+/H2LFjjd00xhjTKYjXBxChNf0gZ14eQoghQoggAAcBfFZUZQpkoop5+cnEAWDVqlVI
  T0+Ho6Mj3nrrLfzyyy98eSFj7LlgsBObRLQXwF4hRFcAmwA0L6zc47NBOBmxHd7B5+Hp6QlPT09D
  NeGZcXBwwN9//23sZjDGKgl/f3/4+/vrVFaUdB9vIUQnAN5E5JUzPQsAEdHiYl4TAqADEcXnm0/2
  U1+Gd9clmDKsi/b8CnU/8YqyLoyx50NOXCn0Gj1dhlMCADQRQjgLISwAjATgk28BrlqP2wFA/gCu
  phSZsLYoX8MpjDH2vCpxOIWIlEKISQD8IIP+70QUJISYIJ+mdQCGCyHeBvAEQBqAEUXVJ4N4+Tmx
  yRhjzzOdxsSJyBf5xriJaK3W4yUAluhSl9I0vdyd2GSMsedV2d/F0Po+bCw5iDPGmCGUeRAHAGtL
  Hk5hjDFDMEoQ50ycMcYMo8yDeJ3DR1CtCt93hDHGDKHMg7hJWG+Ym5f1UhljrGIq8yD+8CHKXRBf
  tWoVXnrpJVhZWeHdd981dnMYY0yjzO8nDgBmRllq6dWvXx/ffPMNDh8+jIyMDGM3hzHGNIwSTstb
  Jj5kyBAAQEBAACIjI43cGsYYy2WUq1Os+OIUxhgziLL/ebbs0g2niO/0/302+pZvTMUYq1jKPIiX
  djycAzBjjBVklOEUxhhjhsFBXAdKpRKZmZlQKpVQKBTIysqCUqk0drMYY4yDuC7mz58Pa2trLF68
  GFu2bIG1tTUWLFhg7GYxxljJv+xj0IUJQYUtryL9Gk5FWhfG2PNB31/2YYwx9pziIM4YY+UYB3HG
  GCvHOIgzxlg5xkGcMcbKMQ7ijDFWjj0XN4V1dnaGEPrfG+V54OzsbOwmMMYqEZ2uExdCeAFYDpm5
  /05Ei/M9PxrAzJzJxwA+IqJrhdRT6HXijDHGiqbXdeJCCBMAKwH0A+AOYJQQwi1fsXsAuhORB4D5
  AH7Vr8kVn7+/v7Gb8NzgvsjFfZEX90fJdBkT7wDgLhGFEVE2gO0ABmsXIKKzRJScM3kWQH3DNrPi
  4Y0zF/dFLu6LvLg/SqZLEK8PIEJr+gGKD9LvAzikT6MYY4zpxqAnNoUQPQGMB9DVkPUyxhgrXIkn
  NoUQnQB4E5FXzvQsAFTIyc3WAHYD8CKikCLq4rOajDFWCkWd2NQlEw8A0EQI4QwgCsBIAKO0Cwgh
  nCAD+NiiAnhxjWCMMVY6JQZxIlIKISYB8EPuJYZBQogJ8mlaB+AbANUBrBbygu9sIurwLBvOGGOs
  jO8nzhhjzLDK7Gv3QggvIcQtIcQdIcTMkl9RvgkhfhdCxAghrmrNcxBC+AkhbgshDgsh7LWemy2E
  uCuECBJC9DVOq58NIUQDIcR/QogbQohrQojPcuZXuv4QQlgKIc4JIS7l9MfCnPmVri8A+T0UIUSg
  EMInZ7pS9oNeiOiZ/0HuLIIBOAMwB3AZgFtZLNtYf5BX6LQBcFVr3mIAM3IezwSwKOfxCwAuQQ5v
  ueT0lTD2OhiwL+oAaJPz2BbAbQBulbg/rHP+m0J+r6JLJe6LqQA2A/DJma6U/aDPX1ll4iV+Yaii
  IaKTABLzzR4MYEPO4w0AhuQ8fg3AdiJSENF9AHch+6xCIKJoIrqc8zgVQBCABqi8/ZGe89ASMsFJ
  RCXsCyFEAwADAPymNbvS9YO+yiqIP+0XhioqRyKKAWRgA+CYMz9//0SigvaPEMIF8gjlLIDalbE/
  cjBhHw4AAAGrSURBVIYQLgGIBuBPRDdROfviJwBfANA+MVcZ+0EvfCta46pUZ5WFELYAdgGYnJOR
  51//StEfRKQioraQRyPdhBCeqGR9IYR4FUBMzhFacZceV+h+MISyCuKRAJy0phvkzKtsYoQQtQFA
  CFEHQGzO/EgADbXKVbj+EUKYQQbwTUS0L2d2pe0PACCiFAAHAbRH5euLLgBeE0LcA7ANQC8hxCYA
  0ZWsH/RWVkFc84UhIYQF5BeGfMpo2cYkkDfL8AHwTs7jcQD2ac0fKYSwEEI0AtAEwPmyamQZ+QPA
  TSL6WWtepesPIURN9RUXQogqAPpAnrCrVH1BRF8SkRMRNYaMB/8R0VgA+1GJ+sEgyuoMKgAvyKsS
  7gKYZewzumWwvlsBPASQBSAc8p4yDgCO5PSDH4BqWuVnQ55xDwLQ19jtN3BfdAGghLwq6RKAwJzt
  oXpl6w8ArXLW/xKAKwCm58yvdH2htX49kHt1SqXth9L+8Zd9GGOsHOMTm4wxVo5xEGeMsXKMgzhj
  jJVjHMQZY6wc4yDOGGPlGAdxxhgrxziIM8ZYOcZBnDHGyrH/B29lV1rlBPanAAAAAElFTkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795e212890>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAJZCAYAAACTE4A9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3XuYnVV99//3F8JZEqPARHLijKAU0IpWUAaonERA66Mg
  JSgKKlCtF1USbWtqn6carbX8aqknqpECEUEFrUJAmLZQFeQoJEA8hIRAhqNBQCGQ7++PdQ/ZM9lD
  JiRZM5P9fl3XXLn3fVx7zT3Zn1lr3WsiM5EkSdL6tdFwF0CSJKkTGLokSZIqMHRJkiRVYOiSJEmq
  wNAlSZJUgaFLkiSpAkOXJElSBYYuSRIRcU1EnFz72Oc559SIWBERL+hzqjl2p3VZJmltGbqk9SQi
  XhcR1zbLKyJiaesHSESMiYgHIuLZlnXPfXhFxIHNcV8ccN7/iYhpzfJJEfE/ba7dExGPRMQmA9Z/
  PSKeiojHmq/fRcTNz/MeDmj2eSwiHm/K81jLukkt+34jIpZHRNeAc8xsjnt7y7qNm3VTWsr1qQHH
  DelDdyjHRkR3RFwdEb+NiF+3OcfUZvsTETEvIg4ZsP1dEbGwed/fiYgXP1+ZmmN6IuL3EbGsue4N
  EXFWRGw6YL89I+LSZp9lEfHjiPiTAfusaK7dV+9fGbD9IxFxf3OOrw38vo9iazN7tzN/a8QxdEmD
  iIhYy1O8Gfhhy+tHgSNaXh8BPLKaczwBnNgXTgbR78MlIqYC+wEPAEe32X9WZo5tvrbOzH0HPXHm
  tc0+Y4FXNNca17cuM+9trrkl8DZgHvDnbcr3MPB3A+p0KB+K6+pD9wngXOCvBtn3QuBG4CXAXwMX
  R8RLASLiFcCXgBOALuD3wL8N8fqnZeY44GXAmcBxtNwTEbEzcC1wK7ADsD3wPWBuRLx2wLn+qKXe
  T205x2HAx4CDgKnAzsDfDaF8G7q1/fmV1jlDl0a1puXg3ua3//kRcVBEbBQRH4+IXzYtBzdExMRm
  /9dHxPUR8WhE/Ky1RaFpZfq/EXFtRDwB7BgRYyPi3Ii4LyIWR8Tf9wWHiNi5ac34bZQWqwsHFO9I
  4D9bXp8HnNTyehowezVv8bfAN4CZa1At04ArgW8C716D44aq3YfZnwG/AWYNcs0rgKeBE1dznvUi
  M2/IzPMpZewnInYF9gVmZuZTmfkd4DbKewJ4F3BZZl6XmU8CfwO8LSK2GsKlo7n+7zPzvykh+E8i
  4shm+0zgfzPzbzPzt5n5RGb+C+Ve+eyA8wz2//U04NzMvDMzlwGfAt7TtjARm0XEeRHxUMvPwLYt
  u+zQ3P+PRcTlEfGSlmNfFxHXNcfdHBEHtjn/ps32PVvWbRMRT0bENs3ro5rjH22utddq6u+9EbGk
  +Tqz5byviYj/bc6zJCL+JSLGDPK+D4iIRRHxxue5lrTeGbo0akXEbsDpwKublpjDgIWUFoV3Aoc3
  rQwnA09GxHjgB8A/Ay8FvgD8Z7O+z58D7wO2BhZRQtFTwE6UD+Y3NdsB/h64IjNfDEwC/qWlbBOA
  7TLz1mZVUlow3tgEuRcDBwCXruZtJvD/gD9rwsFQTAO+BXwbOGzAh+r6clJzze8Du0TEwNazFZSw
  8smI2HiI51ybULYmx74C+HVmPtGy7tZmfd/2vu8jmflryj2x25oWKjMXAz8H3tCs+lPK92mgi4DX
  R8RmLev+qwn/Fzetma3lv7Xl9a3AdgPu6z4nAWOBiZRWvQ9QWu76HN/ssy2wGU3LYPNLyw+AT2Xm
  +Gb9JX2tgS3v72ngkuY8fd4B9GTmQ819cS5wSnP9LwOXraY7tJvSencYcFZEHNysfxb4y+Y8fwIc
  DJw28OCIOBw4H3hrE3ylYWPo0mj2LLAp8MqIGJOZizLzN8B7gU9k5i8BMvMXmfkopbvv7sy8IDNX
  ZOYc4E7gLS3n/EbTYrCC8p/5EcBHMvMPmfkQJbAd1+y7HJgaERMz8+nM/N+W8xwJXD6gvH8ALmuO
  f2ez/NTq3mRmPkDp3vrU6vaNiAMoH6iXZeYC4A5KS02rj0YZ7/Vo8+/XV3fe1VxzCuWD8duZ+TvK
  +57W5n38AHiQlaF1oL5yPRIRj9A/SKzO2hz7ImDZgHWPUYL3ULavqfso9xbANsD9bfa5n/L/c99+
  b6R0P7682faDWDnWbWD5HqOEznblW075hWO3LG7OzMdbtn89M3+VmU9Rgt8+zfoTgP/MzCsAMvPH
  lPB4JKu6kP6h612U0AMlbH0pM3/eXP88ys/A69qcp8/M5ufvduDrfefOzJsy8/rmPIuArwADW9/e
  QekKPjwzb3yea0hVGLo0amXmryi/6c4EHoiICyLiZcBkYJXB0pTxMvcMWHcPJaT0WdyyPBXYBLi/
  L6RQwk9fy9FHKT9D10fELyKitUvnSPqP5+preTmPEkhOpHT/DdUsSqvVH61mv2nA3JYP0m/Tv0sT
  4HOZ+ZLMHN/827Yrag2cCNzehDyAi4ETBmnR+mvgE8Dmbbb1leslmfkSYHXvdV0d+zil9afVOOB3
  Q9y+piaycizfQ5TxXgO9jNI6+Cg8N7bumcx8DPgwJYDtMUj5xlFaSNuV75uUrt45Tbf8rAHfp6Ut
  y09SAh2Un4V3tATbR4H9gQltrnENsEXT/TcV2JvSytt3njMHnGcS5WeznQTubXl9T9++EbFrRHw/
  mgcIKC3C2ww4/sPARZk5f5DzS1UZujSqZeaczHwD0DfQfBalW3DnNrvfR/mwajUFWNJ6ypblxZTW
  qZe2hJQXZ+YfNdd+IDNPzcyJlG6acyJip2ZcyYGUcVUDy/s/lA/U7TLzujV4n49QWtn+nkEGl0fE
  5pTf7A9uPojup3S17r2acTNr60Rg15Zr9nXfrtIKkplXAb+kdAONlKfL7gB2GjBGa+9mfd/2vfs2
  RBn8vglw95peKCImA68G+rq5rgL+T5td3wn8JDP/0O40A/7tVz5K61Rv07rbT2Y+m5l/n5mvAF4P
  HEWbVsk2FgPfbAm245tB/Z9rc40VlFayd1FapX7Q0nW7GPh/A87zosz81vNce3LL8hTKzzGUFqz5
  wM5NF/8n6N+tnJS6fWtEfGgI71Fa7wxdGrUiYrcoA+c3pQzS/j2ly/FrwP+NiF2a/fZqxrf8kBIO
  josyZcE7Ka0F3293/sxcCswFvhARW0exU99g3Ih4ezPWBcqA9xXN1wHArQO6bVodBRzT+laG+Ja/
  QPmg3GOQ7W8Fnmm279187UF5Om4oH6xD0a+sUR5E2Al4Tcs1X0HpYhrsmn9Nedpuja+3hp47tvne
  bUbpjt4oyoDyTQCaFrpbKOPNNouItwGvpIxNgtI19paI2L8JZp8CLhkwBuz5CxKxRTPw/HvATzPz
  R82mv6OM3fr7iBgfES+KiL+gjC38WHPsnhGxd5QHRF4E/BOl9aev9eablMHmezT3+V9TuuHalaM7
  Il7ZdE0+TulufLbdvgP8R1MHhzbl2DzKlCaDtVBdSAmO7wIuaFn/VeADEbFfU56tIuLIGPyhhAD+
  pqm/V1AeEJjTbNsaeCwzn4yIlwMfbHPsfcAhwIci4gNDeJ/SejWk0BURMyLijoi4LSLOj/KEyviI
  mBsRd0XEFRExbsD+C6I8TXbo+iu+OtxmwGco44Tuo3T7zaCEk29RHrtfRglhWzStRUdRBgE/1Pz7
  5pYWgXYtL9MoH9TzKF1C32Zll8prgJ9FxGOUD9MPZeZCVp0qot+5M3P+gO6OHGS5/wnKeKnPsnKc
  T7uy/ntmLmla4R5oxoN9kdLd1/fz/rHoP0/XA4Nds10x2lzze5k5b8A1zwaOijbzWTVj365/vvf6
  PNdbk31a17+REsp/QGk5eZLSzdbnOMr381GaBxcy8+GmvPMoLZkXULrftqA8wDEUX2zuwaWUsPRt
  WqYNacYdHkBpnVpIuY/fChyamT9tduui3M/LKK2Ek4GjMvPZ5hxXUO6LayhPZ/6KlqddI+KHETG9
  eTmB0v27jNJCdg0lUA2sr36yTA1yDPBxys/bPZSfn757Kgfsfz1lmo6XAT9qWX8jZVzXF5uxd3fT
  0v09oKx95/2v5n1fCXy2GU9Gc/0Tmp+/L7MyjLUe2/fwwp9SBuGv0wlcpTUVmc//f1rTJ38N8PLM
  fDoivkX5QNkTeDgzPxsRZwHjM3N6lEeFz6f8BzaJ0ny+a67uQtIGIiLuoHxo3zncZZEkjRxDael6
  jNJ1s1UzVmULyhiYY1g5x9Bs4Nhm+WhgTjPocyGwgDJRo7TBa7qsZhu4JEkDrTZ0NV0vn6cMTl4C
  LGsGw3ZlZm+zz1Jgu+aQifR/AmwJ/Z8OkzZYmbk8Mz+7+j1Hlih/5uZ3Ld2OfV2PvxjusgFExO1t
  yvZYRBy/+qPXa7na1dljEbH/cJZL0sjUdvbeVlH+YOhHKI/6LgO+HREnsGr/v92H0iiVmRfQf8Dz
  iJKZrxzuMrSTmS90ri5JHWi1oQv4Y+C6ZhAyEfFdyhNUvRHRlZm9UWbf7huMu4T+j/hOov8j+TTn
  MaRJkqRRIzPX6s+XDWVM113A65pHhIPy+O08ymza7272OYmVf87kMuC45gnHHYFdKE8qrSIz/Rrw
  9clPfnLYyzASv6wX68U6sV6sF+tlOL/WhdW2dGXmrRHxTeBGynwuN1P+3MLWwEXNI7j3UCZlJDPn
  RcRFlGC2HDgt11VpJUmSRqmhdC+SZdbhgTMPP0KZ+6Td/p8GPr12RZMkSdpwOCP9CNPd3T3cRRiR
  rJf2rJdVWSftWS/tWS/tWS/rx2onR11vF46w11GSJI0KEUFWGEgvSZKktWTokiRJqsDQJUmSVIGh
  S5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ck
  SVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKk
  CgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUY
  uiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJ
  kiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJ
  qsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFUwZrgL0M6ECTvQ23vP
  cBdjxOnqmsrSpQuHuxiS1BGmTJnA4sW9w12MEWfy5C4WLVo63MUYlSIzh+fCETnYtSMCGJ5yjWzB
  cH2/JKnTRATXXDPcpRh5DjqIjvwsiggyM9bmHKvtXoyI3SLi5oi4qfl3WUR8KCLGR8TciLgrIq6I
  iHEtx8yIiAURMT8iDl2bAkqSJG0IVhu6MvPuzNw3M18FvBp4AvguMB24KjN3B64GZgBExJ7AO4A9
  gCOAc6I0XUmSJHWsNR1I/6fArzJzMXAMMLtZPxs4tlk+GpiTmc9k5kJgAbDfOiirJEnSqLWmoeud
  wAXNcldm9gJk5lJgu2b9RGBxyzFLmnWSJEkda8ihKyI2obRifbtZNXAUXeeNqpMkSRqiNZky4gjg
  xsx8qHndGxFdmdkbEROAB5r1S4DJLcdNatatYubMmc8td3d3093dvQbFkSRJWj96enro6elZp+cc
  8pQREXEhcHlmzm5ezwIeycxZEXEWMD4zpzcD6c8HXkvpVrwS2HXg/BBOGfFCOGWEJNXilBHtOWXE
  Czeklq6I2JIyiP7UltWzgIsi4mTgHsoTi2TmvIi4CJgHLAdOGzRdSZIkdQgnRx1VbOmSpFps6WrP
  lq4Xzr+9KEmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJ
  klSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSp
  AkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG
  LkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S
  JEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS
  KjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgUjOnQddhjMnw933QUf+9iq2888E266CW68
  EW67DZYvh3Hjyrbf/AZuuaVs/9nPVh4zaxbMmwc33wwXXwxbb13nvUiShu7yX17Oy7/4cnb7l92Y
  de2sVbY//OTDHHH+EezzpX3Y69/24hu3fGO1x14872Jeec4r2fhTG3PT/TcNqRzXXw/TpsGJJ8KF
  F666fdkyOOsseN/74OST4fLL+29fsQJOPRU+8YlVj73oIjj4YHjssSEVRRuAERu6IuCLXyzB6xWv
  gOOPh91377/P5z8Pr3oVvPrVMGMG9PSUHwAoN3p3d9n+2teuPGbu3HK+ffeFBQvKcZKkkWNFruCM
  H57BFX9+BXecdgcX3n4hdz50Z799vnj9F9mnax9u+cAtXHPSNZw590yeWfHM8x6713Z78d13fpcD
  px445LKcfTZ89rPw9a/Dj38Mixb13/6978Euu8DXvgZf+AL827/Bs8+u3H7JJTB16qrnffBB+PnP
  oatryEXRBmDEhq799iuhaNEieOYZmDMHjjlm8P2PP77/byERsFGbd/fjH0NmWf7pT2HSpHVbbknS
  2rl+yfXs+tJdmfriqWyy8SYc98rjuPTOS/vtM+FFE/jd078D4HdP/Y6XbvFSxmw05nmP3X2b3dn1
  pbuS5JDLMmkSTJgAY8aUVqnrruu/ffx4ePLJsvzkkzB2LGy8cXn94IOlp+XNb171vP/6r/CBDwy5
  GNpAjNjQNXEiLF688vW995Z17Wy+ORx+ePmNok8mXHllaRp+3/vaH3fyyfCjH627MkuS1t6Sx5Yw
  eezk515PGjuJJb9b0m+fU159Cnc8eAfbf3579v7S3px9+NlDPnZNbLtt/+UHH+y//aijYOFCePvb
  y2fNGWes3DZYsLruunKunXZ6wcXSKDViQ9eaeMtb4NprV3YtAuy/f+l2PPJIOP308rrVxz9exoC1
  66OXJI1sn/6fT7N3197cd+Z93Pz+mzn9h6fz+NOPVy/HBRfAzjuXMcJf+Urpjvz97+EnPymtYLvs
  Uvbr62F56ik4/3x4z3tWniOH3vCmUW7McBdgMEuWwJQpK19PmlTWtXPccauGp6VLy78PPQTf/W7p
  ruxrFj7ppBLGDj543ZdbkrR2Jo6dyKJlKwdP3fvYvUzcun9Xx3WLr+MTbyij03d+yc7sOH5H7nzo
  ziEduyYeeGDl8oMP9m/5Arj9djjhhKbcE0tX5KJFZf3//m/pXnzqqdL1+A//UIbCLF1aWsUyyznf
  //4yFmz8+BdcTI0SI7al64Ybym8IU6bAJpuUYHXZZavuN3YsHHggXNrS3b/FFrDVVmV5yy3h0EPL
  DwCUgfkf/SgcfTQ8/fT6fx+SpDXzmu1fwy8f+SX3/PYenn72aebcPoejdz+63z57bLMHV/36KgB6
  H+/l7ofvZqfxOw3pWIAcYvPSkiUlJC1fDldfDa9/ff/tU6aUp+QBHnmkDIV52cvglFPgW98qLWF/
  8zfloa6Pfxx23BG+852y/sILS4j76lcNXJ0ihnrjrfMLR+Rg154wYQd6e+/hsMMO4+yzz2ajjTbi
  3HPPZdasWZx66qlkJl/96lcBmDZtGocddhgn9P2qAeywww5897vfJTMZM2YM559/PrNmlceG7777
  bjbddFMefvhhAH76059y+umnr+d3u250dU1l6dKFw10MSVrvLv/l5Xz48g+zIlfw3n3fy/QDpvPl
  n3+ZiODUV5/KQ08+xHsufQ+Lli0iM5lxwAyO3+v4QY8F+N6d3+MvfvQXPPTkQ7x48xezz4R9+NEJ
  gw/snTJlAosX91Z5v6PJ5MldLFq0dLiLUV1EkJmxVucYiaFLkiRpJFkXoWvEdi9KkiRtSIYUuiJi
  XER8OyLmR8QdEfHaiBgfEXMj4q6IuCIixrXsPyMiFjT7H7r+ii9JkjQ6DLWl62zgh5m5B7A3cCcw
  HbgqM3cHrgZmAETEnsA7gD2AI4BzImKtmuMkSZJGu9WGrogYC7whM78OkJnPZOYy4BhgdrPbbODY
  ZvloYE6z30JgAbDfui64JEnSaDKUlq4dgYci4usRcVNEfCUitgS6MrMXIDOXAts1+08EWuaSZ0mz
  TpIkqWMNZXLUMcCrgNMz8+cR8QVK1+LARw/X+FHEmTNnPrfc3d1Nd3f3mp5CkiRpnevp6aGnp2ed
  nnO1U0ZERBfwk8zcqXl9ACV07Qx0Z2ZvREwArsnMPSJiOpCZOavZ/3Lgk5n5swHndcoISZI0KlSZ
  MqLpQlwcEbs1qw4B7gAuA97drDsJ6JsT/jLguIjYNCJ2BHYBrl+bQkqSJI12Q/3bix8Czo+ITYBf
  A+8BNgYuioiTgXsoTyySmfMi4iJgHrAcOM0mLUmS1OmckV6SJGk1nJFekiRplDB0SZIkVWDokiRJ
  qsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSB
  oUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOX
  JElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkV
  GLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0
  SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFUwZrgL
  0M6ECTvQ23vPcBdjxOnqmsrSpQuHuxgjzoRJE+hd0jvcxRhxuiZ2sfTepcNdjBHFe6U975X2pkyZ
  wOLF3i8DTZ7cxaJF3i8vRGTm8Fw4Ige7dkQAw1OukS0Yru/XSBYRMHO4SzECzcT7ZQDvlUHM9F5p
  JyK45prhLsXIc9BBnXm/RASZGWtzjiF1L0bEwoi4NSJujojrm3XjI2JuRNwVEVdExLiW/WdExIKI
  mB8Rh65NASVJkjYEQx3TtQLozsx9M3O/Zt104KrM3B24GpgBEBF7Au8A9gCOAM6J0nQlSZLUsYYa
  uqLNvscAs5vl2cCxzfLRwJzMfCYzFwILgP2QJEnqYEMNXQlcGRE3RMT7mnVdmdkLkJlLge2a9ROB
  xS3HLmnWSZIkdayhPr24f2beHxHbAnMj4i5WHeneeaPqJEmShmhIoSsz72/+fTAivkfpLuyNiK7M
  7I2ICcADze5LgMkth09q1q1i5syZzy13d3fT3d29puWXJEla53p6eujp6Vmn51ztlBERsSWwUWY+
  HhFbAXOBvwMOAR7JzFkRcRYwPjOnNwPpzwdeS+lWvBLYdeD8EE4Z8UI4ZUQ7TgMwiJmd+Vj38/Fe
  GcRM75V2nDKiPaeMeOGG0tLVBXw3IrLZ//zMnBsRPwcuioiTgXsoTyySmfMi4iJgHrAcOG3QdCVJ
  ktQhVhu6MvM3wD5t1j8C/Okgx3wa+PRal06SJGkD4d9elCRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG
  LkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S
  JEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS
  KjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg
  6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl
  SZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5Ik
  qQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKmCMcNdgHa6
  uqbS2xvDXYwRp6tr6nAXYUTqmthF78ze4S7GiNM1sWu4izDieK+0573S3uTJXRx0kPfLQJMne7+8
  UJGZw3PhiByua0uSJK2JiCAz16pFaMjdixGxUUTcFBGXNa/HR8TciLgrIq6IiHEt+86IiAURMT8i
  Dl2bAkqSJG0I1mRM14eBeS2vpwNXZebuwNXADICI2BN4B7AHcARwTkTYVyhJkjrakEJXREwCjgS+
  1rL6GGB2szwbOLZZPhqYk5nPZOZCYAGw3zoprSRJ0ig11JauLwAfBVoHYXVlZi9AZi4FtmvWTwQW
  t+y3pFknSZLUsVYbuiLizUBvZt4CPF83oaPiJUmSBjGUKSP2B46OiCOBLYCtI+I8YGlEdGVmb0RM
  AB5o9l8CTG45flKzbhUzZ858brm7u5vu7u41fgOSJEnrWk9PDz09Pev0nGs0ZUREHAicmZlHR8Rn
  gYczc1ZEnAWMz8zpzUD684HXUroVrwR2HTg/hFNGSJKk0WJdTBmxNpOjfga4KCJOBu6hPLFIZs6L
  iIsoTzouB04zXUmSpE7n5KiSJEmrUXVyVEmSJL1whi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiS
  JEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmS
  VIGhS5KtcudTAAAYpElEQVQkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA
  0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFL
  kiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJ
  UgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQK
  DF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFYwZ
  7gK0M2HCDvT23jPcxRhxurqmsnTpwuEuxoizw4QJ3NPbO9zFGHGmdnWxcOnS4S7GiOK90p73SntT
  pkxg8WLvl4EmT+5i0SLvlxciMnN4LhyRg107IoDhKdfIFgzX92skiwjvljYCvF8G8F5pz3ulvYjg
  mmuGuxQjz0EHdeb9EhFkZqzNOVbbvRgRm0XEzyLi5oi4IyL+oVk/PiLmRsRdEXFFRIxrOWZGRCyI
  iPkRcejaFFCSJGlDsNrQlZlPAQdl5r7AHwEHR8T+wHTgqszcHbgamAEQEXsC7wD2AI4AzonSdCVJ
  ktSxhjSQPjOfbBY3a455FDgGmN2snw0c2ywfDczJzGcycyGwANhvXRVYkiRpNBpS6IqIjSLiZmAp
  0JOZ84CuzOwFyMylwHbN7hOBxS2HL2nWSZIkdawhPb2YmSuAfSNiLHBFRHSz6kj3zhtVJ0mSNERr
  NGVEZj4WET8E/hjojYiuzOyNiAnAA81uS4DJLYdNatatYubMmc8td3d3093dvSbFkSRJWi96enro
  6elZp+dc7ZQREbENsDwzl0XEFsAVwN8BhwKPZOasiDgLGJ+Z05uB9OcDr6V0K14J7DpwfginjHgh
  nDKiHacBaM9pAFblvdKe90p7ThnRnlNGvHBDael6GTC7eQJxI+C8zPxxM8broog4GbiH8sQimTkv
  Ii4C5gHLgdMGTVeSJEkdwslRRxVbutqx9aI9Wy9W5b3SnvdKe7Z0tWdL1wvn316UJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJD
  lyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5J
  kqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJ
  FRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiS
  JEmqwNAlSZJUgaFLkiSpghEdug47DObPh7vugo99bNXtZ54JN90EN94It90Gy5fDuHFl2/TpcPvt
  cOut8B//AZtssvK4M86AefPKMZ/+dJ33ovXrcuDlwG7ArDbb/xHYF3gVsBcwBvgtcHfL+n2BccD/
  1xxzMfBKYGPgpvVYdkkj1/XXw7RpcOKJcOGFq25ftgzOOgve9z44+WS4/PKV2x5/HGbOhJNOgne/
  u3zuAPzqV+Vz6L3vhU98An7/+xrvRCNBZObwXDgiB7t2RBCR3H03HHII3Hcf3HADHHdcCWDtvPnN
  8Jd/CW96E0yZAtdcAy9/eQlic+bAf/4nnHcedHfDjBlw5JHw7LPw0pfCww+vv/e5bgXD9f0aySKC
  nYEfA9sDrwHmUEJYOz8A/hm4asD6FcAk4Prm37sov5W8nxLaXrXOS75+BXi/DBARWCOr8l5pLyLY
  fnv4/Odhm23gAx+Av/3b8hnTZ/ZsePppOOWUEsCmTYPvfAc23hg+8xnYe2844ojyefOHP8BWW8EH
  PwinnQZ77VVC2n33lcA2Whx0UGfeLxFBZsbanGPEtnTttx8sWACLFsEzz5TgdMwxg+9//PErfwt5
  7LHyQ7DVVuXG33LLclND+aH5zGfKDwCMpsCl57MrMBXYBDgOuPR59r0QOL7N+quAnSmBC2D35ryd
  91+LpD6TJsGECTBmDBx8MFx3Xf/t48fDk0+W5SefhLFjy+fOE0/AL35RAheUdVttVZbvvbcELoBX
  vxr++7/rvBcNvxEbuiZOhMWLV76+996yrp3NN4fDD4dLLimvf/vb8pvJokWwZEl5/eMfl2277QZv
  fCP85Cdw9dXlhtfoN7lleRKwZJD9fk/pivyzNtu+RfswJqlzbbtt/+UHH+y//aijYOFCePvbSxfj
  GWeU9fffXwLYrFlw6qnwj/8ITz1Vtu2ww8rwds018NBD6/tdaKQYsaFrTbzlLXDttaVpF2DHHeEj
  H4GpU2H77eFFLyotYVB+Wxk/Hv7kT8o4sYsuGr5yq77vAwcALx6wfjlwGfB/qpdI0mh2wQWw885w
  8cXwla/A2WeXMVrPPlt6a449tqzffPOyL8BHPwrf+17pefnDH8rnkjrDiA1dS5b07zefNKmsa+e4
  4/oPcPzjPy6/RTz6KKxYUfrXX//6su3ee8trgJ//vGx/yUvWz3tQPYtalu8FBmkUZQ7tW7N+BLwa
  2LbNNkmd64EHVi4/+GD/li8oD2wdeGBZnjixdEUuWlT222472H33su3AA0sIg/LZ9rnPwZe+VLos
  t99+/b8PjQwjNnTdcAPssku5OTfZpASryy5bdb+xY8vNfGnLIJ677oLXvQ4226y8PuSQ8hQklN8u
  Dj64LO+6azn3I4+s3/ei9e+XwD3A05RgdXSbfZYB/wW0Gxo42DivPo7rkjrTkiWwdGl5KOvqq1f+
  At9nypTyFD2Uz5J774WXvaz8Mr/ttiuHydx0U+l9gTLkBcov/eedB0e3+w9LG6bMHJavcun2urqm
  JpCHHXZY3nnnnXn33XfnWWedlUCeeuqpecoppyTlczCnTZuW559//nOv+77+6q/+Km+//fa89dZb
  8xvf+EaOGTMmgRwzZkx+85vfzNtuuy1vuOGGfOMb37jKsSP1q6tr6qB11smmdnUN+/dmJH5N7eoa
  7m/NiOO94r2yJiZP9n5p9zV5cmfeL0DmWmafETllhCRJ0kiyQU8ZIUmStCFZbeiKiEkRcXVE3BER
  v4iIDzXrx0fE3Ii4KyKuiIhxLcfMiIgFETE/Ig5dn29AkiRpNFht92JETAAmZOYtEfEi4EbKWOT3
  AA9n5mcj4ixgfGZOj4g9gfMpE4NPosw5uevAvkS7FyVJ0mhRpXsxM5dm5i3N8uPAfEqYOgaY3ew2
  Gzi2WT4amJOZz2TmQmABsN/aFFKSJGm0W6MxXRGxA7AP8FOgKzN7oQQzYLtmt4lAy1zyLGHwaZMk
  SZI6wpDnwW26Fi8GPpyZj0fEwL7BNe4rnDlz5nPL3d3ddHd3r+kpJEmS1rmenh56enrW6TmHNGVE
  RIwBfgD8KDPPbtbNB7ozs7cZ93VNZu4REdMpc1nMava7HPhkZv5swDkd0yVJkkaFmlNG/Dswry9w
  NS4D3t0snwRc2rL+uIjYNCJ2BHYBrl+bQkqSJI12Q3l6cX/gv4FfsHJG2o9TgtRFwGTKX2B5R2b+
  tjlmBvBeyt8R/nBmzm1zXlu6JEnSqLAuWrqckV6SJGk1nJFekiRplDB0SZIkVWDokiRJqsDQJUmS
  VIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkC
  Q5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYu
  SZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIk
  SRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIq
  MHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDo
  kiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFUwZrgL0M6ECTvQ
  23vPcBdjxOnqmsrSpQuHuxiS1BGmTJnA4sW9w12MEWfy5C4WLVo63MUYlSIzh+fCETnYtSMCGJ5y
  jWzBcH2/JKnTRATXXDPcpRh5DjqIjvwsiggyM9bmHKvtXoyIcyOiNyJua1k3PiLmRsRdEXFFRIxr
  2TYjIhZExPyIOHRtCidJkrShGMqYrq8Dhw1YNx24KjN3B64GZgBExJ7AO4A9gCOAc6I0W0mSJHW0
  1YauzLwWeHTA6mOA2c3ybODYZvloYE5mPpOZC4EFwH7rpqiSJEmj1wt9enG7zOwFyMylwHbN+onA
  4pb9ljTrJEmSOtq6mjKi80bUSZIkrYEXOmVEb0R0ZWZvREwAHmjWLwEmt+w3qVnX1syZM59b7u7u
  pru7+wUWR5Ikad3p6emhp6dnnZ5zSFNGRMQOwPczc6/m9SzgkcycFRFnAeMzc3ozkP584LWUbsUr
  gV3bzQ3hlBEvhFNGSFItThnRnlNGvHCrbemKiAuAbuClEbEI+CTwGeDbEXEycA/liUUyc15EXATM
  A5YDpw2arCRJkjqIk6OOKrZ0SVIttnS1Z0vXC+ffXpQkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5J
  kqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJ
  FRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiS
  JEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmS
  VIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKmC
  ER26DjsM5s+Hu+6Cj31s1e1nngk33QQ33gi33QbLl8O4cWXbhz5U1t12W1nu87d/C4sXl2NuvLFc
  Q5Kkdq6/HqZNgxNPhAsvXHX7smVw1lnwvvfBySfD5ZeX9U8/DR/8IJxyCrz73fDVr6485s47V277
  4AfLZ5w6Q2Tm8Fw4Ige7dkQQkdx9NxxyCNx3H9xwAxx33OA355vfDH/5l/CmN8Gee5Yfjte8Bp55
  pvwQvP/98JvflND1u9/BF76wHt/cehMM1/dLkjpNRLD99vD5z8M228AHPlA+Q6ZMWbnP7NklYJ1y
  Sglg06bBd74DG28Mf/gDbL45PPss/MVflIC1117wkY/Au95VPqN+9jOYM2d0fSYddBAd+VkUEWRm
  rM05RmxL1377wYIFsGhRCU5z5sAxxwy+//HHr/wtZI89yo389NOwYgX813/B2962ct9YqyqTJHWK
  SZNgwgQYMwYOPhiuu67/9vHj4ckny/KTT8LYsSVwQQlcUHphMmHrrcvrl7wEnniiLD/+eAl06gwj
  NnRNnFi6Afvce29Z187mm8Phh8Mll5TXt98Ob3gDvPjFsMUWcOSRMHnyyv3POANuvrk0944du/7e
  gyRpdNt22/7LDz7Yf/tRR8HChfD2t5cuxjPOWLltxYrSAvZnfwZ77w077FDWn3oqnHMOvPOd8OUv
  l33UGUZs6FoTb3kLXHttadqF0gU5axZceSX88IclYD37bNl2zjmw006w776wdCn80z8NX7klSaPb
  BRfAzjvDxRfDV74CZ58Nv/992bbRRuWX+4suKuOLb7mlrP/c58pY4299C04/HT772eErv+oasaFr
  yZL+/eaTJpV17Rx33KoDHL/xjdJfftBB8Nvfwt13l/UPPbRyn69+tewjSVI7DzywcvnBB/u3fEHp
  WTnwwLI8cWLpily0qP8+W20Fr3vdys+h+fPhgAPK8oEHloH16gwjNnTdcAPssksJXptsUoLVZZet
  ut/YseWmvfTS/uv7+sgnT4a3vrX8NgLQ1bVyn7e9rfzASJLUzpIlpVdk+XK4+mp4/ev7b58ypTxF
  D/DII2UozMteVnpeHn+8rH/qqfK0/C67lNcTJ65s9brxxtKooM4wZrgLMJgVK0rf+Ny5pYn23HPL
  bwOnnloGJPY9fnvssXDFFeUpkVaXXFIGKy5fDqedVp5YhNKMu88+5fwLF5anGiVJaufDHy5TFq1Y
  UcYHT51aGgAiytCWE04ow1ne+96y//vfXxoDfv1r+MxnyufVihVw6KHwqleVfc48E/75n8tDYptu
  Wl6rM4zIKSMmTNiB3t57Kpdo5OvqmsrSpQuHuxiS1BGmTJnA4sW9w12MEWfy5C4WLVo63MWobl1M
  GTEiQ5ckSdJIMqLn6YqIwyPizoi4OyLOWl/XkSRJGg3WS+iKiI2ALwKHAa8Ajo+Il6+Pa21oenp6
  hrsII5L10p71sirrpD3rpT3rpT3rZf1YXy1d+wELMvOezFwOzAGeZz559fFGb896ac96WZV10p71
  0p710p71sn6sr9A1EWiZT557m3WSJEkdacTO0yVJkrQhWS9PL0bE64CZmXl483o6kJk5q2UfH12U
  JEmjxoicMiIiNgbuAg4B7geuB47PzPnr/GKSJEmjwHqZkT4zn42IM4C5lC7Mcw1ckiSpkw3b5KiS
  JEmdZFgG0nfyxKkRcW5E9EbEbS3rxkfE3Ii4KyKuiIhxLdtmRMSCiJgfEYcOT6nXr4iYFBFXR8Qd
  EfGLiPhQs77T62WziPhZRNzc1M0/NOs7ul6gzAUYETdFxGXNa+skYmFE3NrcL9c366yXiHER8e3m
  fd4REa/t9HqJiN2a++Sm5t9lEfEh6yVmNPfIbRFxfkRsus7rJDOrflGC3i+BqcAmwC3Ay2uXY7i+
  gAOAfYDbWtbNAj7WLJ8FfKZZ3hO4mdINvENTbzHc72E91MkEYJ9m+UWU8YAv7/R6ad7rls2/GwM/
  Bfa3XhLgI8B/AJc1r60T+DUwfsA66wW+AbynWR4DjLNe+tXPRsB9wOROrhdKJvk1sGnz+lvASeu6
  ToajpaujJ07NzGuBRwesPgaY3SzPBo5tlo8G5mTmM5m5EFhAqb8NSmYuzcxbmuXHgfnAJDq8XgAy
  88lmcTPKf46P0uH1EhGTgCOBr7Ws7ug6aQSr9l50dL1ExFjgDZn5dYDm/S6jw+tlgD8FfpWZi+ns
  enkMeBrYKiLGAFsAS1jHdTIcocuJU1e1XWb2QgkgwHbN+oF1tYQNvK4iYgdKS+BPga5Or5emG+1m
  YCnQk5nzsF6+AHwUaB2Q2ul1AqU+royIGyLifc26Tq+XHYGHIuLrTVfaVyJiS6yXVu8ELmiWO7Ze
  MvNR4PPAIsr7W5aZV7GO68TJUUemjny6ISJeBFwMfLhp8RpYDx1XL5m5IjP3pbT8vSEiuungeomI
  NwO9Tcvo882X0zF10mL/zHwVpRXw9Ih4Ax18rzTGAK8C/rWpmyeA6VgvAETEJpQWm283qzq2XiJi
  J8qwhanA9pQWrxNYx3UyHKFrCTCl5fWkZl0n642ILoCImAA80KxfQuln77PB1lXTnHsxcF5mXtqs
  7vh66ZOZjwE/BP6Yzq6X/YGjI+LXwIXAwRFxHrC0g+sEgMy8v/n3QeB7lK6OTr5XoPSkLM7Mnzev
  L6GEsE6vlz5HADdm5kPN606ulz8GrsvMRzLzWeC7wOtZx3UyHKHrBmCXiJgaEZsCxwGXDUM5hlPQ
  /7f0y4B3N8snAZe2rD+ueYJiR2AXykSzG6J/B+Zl5tkt6zq6XiJim74nZSJiC+BNlIGbHVsvmfnx
  zJySmTtR/u+4OjNPBL5Ph9YJQERs2bQUExFbAYcCv6CD7xWApltocUTs1qw6BLiDDq+XFsdTfnnp
  08n1chfwuojYPCKCcq/MY13XyTA9JXB48wYXANOHowzD9UXpO78PeIrSd/weYDxwVVMnc4EXt+w/
  g/JUxHzg0OEu/3qqk/2BZylPst4M3NTcIy/p8HrZq6mLm4Fbgb9q1nd0vbS81wNZ+fRiR9cJZexS
  38/PL/r+X+30emne596UX/ZvAb5DeXrReoEtgQeBrVvWdXS9UMaK3gHcRhk0v8m6rhMnR5UkSarA
  gfSSJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCv5/PZcijjiA
  qGYAAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f796a9ad5d0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "scores/MINIAE_TANH_H100_DOmlp.shelve
  "
       ]
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd8zdf/B/DXyULMkFKN2iX2KjWq0qrWD7UVLdrqUKNq
  FPXVca2iNdugVq0apWatKBp7j5AIkojIlEQie917378/3tnzyr1yhffz8cgjn3E+53PuuZ/7/pzP
  +SxFRBBCCFE8WZi7AEIIIQpPgrgQQhRjEsSFEKIYkyAuhBDFmARxIYQoxiSICyFEMWZQEFdKdVVK
  3VJK3VFKTcllfgWl1E6llJtS6pxSqqHpiyqEECK7AoO4UsoCgDOAdwE0AjBYKeWYLdn/AFwlomYA
  PgLwq6kLKoQQIidDWuJtAHgRkR8RpQDYCqBXtjQNARwDACK6DaCmUuoFk5ZUCCFEDoYEcQcA/pnG
  A1KnZeYGoC8AKKXaAKgOoJopCiiEECJvpjqxOReAnVLqCoDRAK4C0JkobyGEEHmwMiBNILhlnaZa
  6rR0RBQDYHjauFLKF8Dd7BkppeRBLUIIUQhEpHKbbkhL/CKAukqpGkopGwCDAOzNnEApVV4pZZ06
  /DmA40QUm0dB5I8IP/74o9nL8LT8SV1IXUh95P+XnwJb4kSkU0qNAXA4NeivISJPpdQInk0rATQA
  sF4ppQfgAeDTgvIVQghhPEO6U0BEhwDUzzZtRabhc9nnCyGEePLkjk0zcXJyMncRnhpSFxmkLrKS
  +iiYKqi/xaQrU4qKcn1CCPEsUEqBjDixKYQQ4iklQVwIIYoxCeJCCFGMSRAXQohiTIK4EMJk9PqM
  4fh4QKsF5FqGJ0uCuBDCZCpUABYtAuLiePj99wEHBw7m4smQIC6EeCwBAVnHU1KAs2f5f0wM8Ouv
  gJ8fj//zDxAcDAQG5p7X0y4hATh3jo8wHj7MONJITgYePMh7OQ8P4NQpwN0963SdDggKAnx8+L8p
  SBAXQhjMxwd45RXg0aOMaTNmAO3bA3v28Pi9e4CvL/Dmm4BFaoTx8yvyoprE5s1Au3bAihXA228D
  y5bx9KFDgRdfzH2ZxESgdWvg22+B118HbtzImHfoENC2LdC8OddZ5u6nwpIgLsRT7NixnNNu3ABC
  Q3k4JoZbiqam1QKrV3PQ9vcHbt3i6VevcpCaNAnYtYuD0IYNQM+ewOHDgL09YGfH6erWBRo1ApTi
  wJ62fHg4Dz96BFy8yMM3b3KgX7kS2LLFNMEtJQU4fty4PEJDgaZNgdmzuYzr1wNXrgDbtvH8I0dy
  9vnfvAnUqcMt8VGjgO+/5+B/4gR/fn9/oGtX7m4ytnyABHEhnlphYUDnzllbvQAweTKwbh0Pu7gA
  ffqYvs/50iXgiy+AkSOBzz8HGjTg6W5uwIABgLU1MHgw4OrKwWjYMG6J16gBVKkCnD/Pw999x+nS
  WuITJgALFvDw9u2cl14PfPgh0KoVsGoVMGUKcPKk8Z9h1y7go4+My+PhQ2DgQOCTT7i8QUFAly5A
  v35ApUo87OaWdZlr14BmzXj4q6+A6tWB06eB0aN53hdfABoN0KsX7wSMZdADsMSTERXFG9rHHz+Z
  /LdtAzp0AKpWBZyd+QRTy5ZArVoFL7tkCbcirK2fTNlMhYj7YMeO5Rbf0+LaNQ7CXboAGzcCZ87w
  9Bo1+DA7Nzt2ZP1R29jw/0WLONC1aAE0acJBo2JFYP9+4OBBICSEl+valVuOx44Bgwblvo6FC4Gy
  ZTkw5yYuDvjf/3jbHDiQdxKNG/O8ESM473nzgL59ubzz53MAb96c1/3660BEBAfxgQM5XXg4jxNx
  2b29uUthxw4O7gMGAPfv83J79vCRxcaNQKdOhtX1o0ccYD//nNezbh3X0/79/Dnysno1cPkyr/+t
  tzKmb97MO5EePTiIN2gAfJr6XNbTpznfdeu4HgH+nbz9NnehNGyYNYhXrcrbZ2IiH6FER/N31rAh
  19kvvwBff8112KoVr2/PHmD4cBiuiJ+JSyLDsWNEtWs/ufwbNiTasIHo9m0igKhZM6Kvvy54uZQU
  Tr9795Mrm6k8fMhl9fc3d0mycnLickVHE5UvT/Trr0TLlhE5OBBdu5YzfVISkb090YIFnO7nn3l5
  gEgpolKleHjgQP7fsCFvO0oR1a9PNGgQ56PRENna8nqzS0khKlmSqGxZotDQ3Mt95EjGuhYvJurV
  i9cxfTqXa8UKothYTtu6Nc9zdyfS63lbu3o1o4wXL3I6V1eidu2I7t8nqlKF66BatYx1LFvGaU+d
  4nwuXSJq3tzwut69m8jKij9Tx45EEyYQVajA9W5pSaTT5b6cgwPR2LFEjRvzeomI4uJ42c8+I+rd
  m+i994h27cpYJiKC6MYNHi5dmqhDB6LffydydCSysSH65BOi6tW5HrJr1IjXqdXyuI8P14GlJdHU
  qTxt9Giell1q7Mw9ruY140n8SRDPassW3hCehIQE3jhmzCDati0jGLzwAtGsWUSXL+dcxtmZ6PRp
  oqCgjIBx8yZRp068wyHiDe+HH3h43Tqid98lCgsjGjcua2AYN47z+eorogcP8i7npElEH3/MP6LD
  h/lH6O2dM11MDNGXX3Iw6d+fAxIRlw8g2rcv73W4u/NyaTw9iV5/nahzZ8536FCi9u2JXFzyzsMQ
  ERFEb77Jn6FdOy5XgwZEPXtmpPnf/4gmTiQ6cYJo+XIOXJ06cfk6dsya32uvcUABeD7A5XztNf5u
  LS152urVROXKcXCtX5+oXj1OFxGRsx5eeYXoww+Jvv+ed+gBAfwdpFmwgOv5xReJjh/n7xrI/TsZ
  MICoRImM7yLN118TWVgQxcdn1EuZMlzf775L1K0b52llxdtOdmFh/LkNNX06r+/rr3n7Tkoi+vRT
  3q7KliV69CjnMuHhXGdaLVGtWlyn7dsTNWlC9H//xzuV5s05SJ84kft669QhGjmSh5csIapblwN5
  06a5px8yhOjbbzPGdTr+nKNGEQ0eTLRpE5cXIEpO5t9t2g5EgvhTatEi/gZiYkyf96VLnPennxJN
  m5axx3/tNR6ePTtr+sREIjs7bn1cucKtsZo1eQNr2ZJ/fEREq1YRVa7Mw9268fAnn3CeCxfy9KQk
  ImvrjOk7d+ZeRn9/oooVeT0XL3LrtUwZoq1bc6bdsIHzsrHhVujBgzz92LHcP09mixZxsImM5PGl
  S/lzNmlC9MsvHPRGjiSaPNmwus2Liwu3Trt25TJt3sxBOnMQuXWLA+S773LA6daNqEWLjGCc2YMH
  vMN9+WX+wc+ezZ9/+HAOyCdO8HJXrhC1asXrSguM3bvz58xs0ybeAa5axd81wIEO4KM1IqJhw3h+
  QADvWHfs4J1/UlLOz/vNN7ze7H76iXdemVWvzju2wEBudVarlvfRk17PjZvcgm9u+vThOgG40UDE
  LerYWK67e/dyLnP0KO/IibhMp05l/EVGch3a2XEL29099/W2b080dy4P63R8VHj7dt6NlvBwLldm
  /v78PbZrxzuBXbu4bnx9eTtv2ZLTSRAvQt9/zxu+IaZMybuVUxjDhhGdP8/Dy5YRVa3KrZ8uXXi4
  enWijRv5sL16dT7cLFuWWyTDhhG9+ipP27iR6O23+YdUoQK3XO3s+IdSqxaXOTiY6KWXiNav51ZQ
  z558qD5yJLdgypXjgFKpEtGPP3KwunGDy1O2LP+VLMmtp++/5/VXqEA0ZgzRvHkZnyk4mH+IJUpw
  4B0yhI8YunblDX/VKp7XsyfRgQNEI0bkrJePPuKd0sqVPP7550S//caHzBUqcND5808+8iDiQDtg
  QNY8Fi7krgBPz9zrfvVqoho1+PPMnct15Oube9o33+QA/vrrXD+3b/OOLLegtW8f0fvv8/CuXRmt
  ciJuRVarxssNH85HXRUr8rwDB/j7bNWKW5atW/MO4OefiS5c4HwqVeLvqEcP/n7d3bklf+lSxvr9
  /DiY5OaPP/j7ym7bNi5PZu+/z9sVEdHevbwzyU/DhkRubhzQmzTh7eWPP3hbmTSJP9OVK7wtW1lx
  HTZqxNMya9KE6O+/ecdpb8/z33uPt70JE/Jev17P3VIlSvA2mJthw/izGMvPjxtYjo683vbt+ftp
  1IgbGJ06SRB/opKSsrZS2rThQ+Y0yckZ/W1EvNcPCeFD0GHD+Bs4dSprnmmHoWnL59YKSpOSwq1o
  vZ5/lL/8wuk7dOAfbIUK/Pfdd0RvvMHLXL/O612zhigqin9cAP9IBg/mH/+wYURt23LrmIhb9Gl9
  tKVLcyAtX57XGxvL/9NahgD30cbGEv31FwcogINXWrCKiuI/nY5b1SVKEL31FgfXL7/kABgRwYf3
  Q4ZkHK3odNyisbbmPFu14rKWL88bf1pLNCGBg1xcHPd5fvcd10nad3TyJH8GpfhHdOoUf97AQG6x
  VqmS9Tvu0YMD3OjRuX8fgwdzedauJTp0iHdsycn5f2dp/9M+V17Stp+zZ3kd69fnnLdkCe8U0gJu
  Sgp/hhYteGfbvDnXt17P25eFBTc24uJ42rff8vdTq1bOsmTefvMqW0HT9fr888muWzcOkEFBvGPa
  v5+/R3t73lbStqcffsjoo8+tDjt25Hr5+mtuTHzxBW+/AQH51zkRH00A+f/+TCElhbfbn37i8erV
  Kb1LJSmJW+gSxJ+QP//kw51KlYju3uWgUaoU0QcfZKQZOpRo5kwePniQuwvSTogA3CLI3nJv2DDj
  xMisWVn7LLNbsoQDSEBARoBt25ZbetHRvOF//z3Rf/9llCM5mVvaaYd2CQkcpKKiuIwAr3POnIyu
  kMuXuZXbtSsHxBo1uIWbmV7PrdlvvuHuDyIOkHXr8iF0w4bcD5xdcDCvc8IE/uEC3DKsVIlbJ2n9
  8ZlNnMitwLSulEmTuLXZuzefROzWjfvsBw/mvstHj7hOrlzhVl1UFB8ZpLUY/f0zdkBVqvD/+Hj+
  EVWrxt/ToUMcEH/8MWd5Gjbkevfy4p1Mv355f2eFdfcul8vVNec8V1duzb35Zsa0BQu4a2rJEu7a
  yWzgQA6QaXx8OGj9/rvpy10YEybwEcfBg7xz1+n4KK5NG0o/Sd+oEZ8szU+PHpR+kvXePd4B1Kpl
  WBlGjcq7f9vU+vfP6F764QfuAk0za5YEcYP4+GS0itLExmYcEvv68rifH//39+cNSin+mzGDD2EB
  /jEfPMgB0NaWW58hIRw4V6zgIKAUp23RIqPv8sYNonPnePqqVTytVy9uDfv4cJA8doz73P77j8sw
  ZAhvmD/+yEEq7QTm2LGFq4eUFD70XLCgcMsXVuXK3MK8di3jR/feexn9wbmJj+dumzVrMqa5uPBO
  w8KCg3y9ehlXE4wdy63pXr1y5qXVZnx3acH81i2iPXu4PsuU4XKsX88nBom4a0Wn451gyZI5tx9T
  i4ujPLtpIiJ43uDBT7YMReXcOf7u5s4lGj8+Y3pcHH+3//1nWD59+2a0aon4t9S7t8mL+0Tp9fkH
  cblOPNUHH/D1u717Z0ybP5+vWT14kKePGsXXdffsyXduvfwyX7iv1fKtxzExfHH/b7/xhf0NG/JF
  /evXA23a8PWmAwfytbhlygBeXpzHhQt8U0LHjpwHkHEDgZsb3+3WqBGwaRNf//vii3zX17BhPP/9
  9/l613nz+JkNtWoB775buHqwsgLmzuXrbIvSpEl8Y0vFinxNbqtWfKPI3bsZt25nV6oUl7Vdu4xp
  nTsDTk7Aq6/y8zz8/YH6qa/wHjuWx3O7TtvSEhgzhuvyjTd4nffu8d2IGg3Pt7Dg67zTblx55x2+
  njkhga/5LVHChBWSC1tbvhGmWrWc8+zs+KaSKlWebBmKSps2/H/ZsoybgwCug2nT+Ps1RNpzXtLu
  d5g2DYiNNV05i0KB9z/kFd2fxB+e0pZ4WjdI2qF+QABfalenDrdK01qHI0fyeKdO/D/t0iq9ng/7
  P/004xrrzNeW/vwzd3Ok9d1lFhzMfdYff8xdFe+8w4d7r7xCdOYML/fCC9yit7fnLhFbW+5zrl+f
  W4AJCU+8ioqdsLCMI53HkZzMJwBbteJWXLlyGVe1EPEhebVqGdenjxnDJ1idnU1b/sJ4772MqyWe
  BbNm8bmOzOeIHlda/3JxB2mJ58/bm1tTISE8vmkT380VG8tPK1uwgB9W8++/nCYkBJg4kVutAO8p
  V6/mFpKVFbfOevTIyP/zz7klXbp0znW/+CK33D09Oc+UFL67a9Uqbk137Ah89hm3sg4e5NZkixbc
  UnVw4FZoyZJPvo6KG3t7vtOxbt3HW87amo+cqlXj+h40iG8rT+PgwHcmXrrE487OfBQ1bJjpyl5Y
  U6cCL7xg7lKYzsiRvJ2XKlX4PPbv59/Us8ygt90rpboCWAx+1soaIpqXbX4lAH8CqArAEsACIlqX
  Sz5kyPpM7fx5vvW3e/ec8xIT+Ye6Zw/fVtyyJT+E5/JlDqKJifyQmjNnOJA3b8631V6//mS7HBIS
  OMCvWJH3LdQNGwLjx+d9C7V4MmrWBMqV49vib97knXq5cuYulXiW5fe2+wJb4kopCwDOADoDCAJw
  USm1h4huZUo2BsA1Ivo/pZQ9gNtKqT+J6Kl4FPzBg/z0sNyC+N69/LzjOXM42I8YwdOV4ucfDBvG
  La927fgxktWqcYB90n3GpUpxeV55Je80f/0F1Kv3ZMshctq6lfvF27XjxoEEcGFOhnSntAHgRUR+
  AKCU2gqgF4DMQTwEQFpYKwvgoakC+O3b3N3g7Fz4PEJCuPWc3cGDfLLy11/5hFXa85ABfhZyq1bc
  DdKoEU8r7MnCwnJ0zH9+UZ98FKxtW/4DuJtLCHMyJIg7APDPNB4ADuyZrQJwVCkVBKAMgIGmKR53
  JyxdCowbl9G/mdYjo1TGc4fzuoJBp+Mgfv8+EBnJZ/HT8vjlF26BDx7Mz0329eUrDIKDuW/b1tZU
  n0IIIZ4MU53YnArAjYjeVErVAfCvUqopEeW4mEej0aQPOzk5wcnJKd+M//6bL/tq2BC4c4f7IzUa
  fki9vz+QlMSBOreW9uLF/PzismX5pOK5c7xD+O47flC7nx93lyjFj4x88AB46aWMQC+EEObg6uoK
  V1dXg9IWeGJTKdUWgIaIuqaOfwu+3GVepjQHAMwmotOp40cBTCGiS9nyeqwTm+Hh3PqOjOTrtIcO
  5f/VqnHAtbDg63cBTpP56g8i7i8uU4YD/Ndf8/Od9+7lB9Dv2cM7AatMuzErK94hmOHcqxBC5Cm/
  E5uGvNnnIoC6SqkaSikbAIMA7M2WxhPA26krqwKgHoC7hS8yc3PjVyOlnWR0c+NXQNWqxX3ZDg7c
  X92kSdb32AF8o4eVFV+eB3B3zM6dfNng6tV8c49VtuOQP//kmymEMJeQ2BCc8T9j7mKIYqTA7hQi
  0imlxgA4jIxLDD2VUiN4Nq0EMAfAWqWUGwAFYDIRRRhTsMREvl477Q0ZzZrxHYmnT3MXyMiRHJCV
  4hb5tWsZJ5tCQ4GffuJ0zZpxC71mTb7D7uJF7vPO7bVNgwblfTmfEEVh35192H5zO1yGuJi7KKKY
  MKhPnIgOAaifbdqKTMPhAN4zZcEOH+ZXQW3ZwuOdOgEHDvCJxw8+4Glpr0zy9gb27QO+/JLHv/mG
  b4X/7DPuTpk5k6dPm8bvyPP05BZ+cXYz7CaiEqNQybYSHsY/RLuX2xW8kHjqhcaFwjvC29zFAAB4
  hHogPiUerR1aG5TeJ8IH/tH+cKrp9GQLZmZavRabb2zG0KZDoZ6CdwIadLOPyVZmQJ94RATfGXnn
  Dj9jZO7cgvONiuJLBOfO5bsXx43j5StXNlHBzcgtxA2J2kS8Vu21LNPVdAULZYHv3/ge9x7dw7ev
  f4uQ2JDH/gEFxwTjYtBF9Kzf04SlFoU17tA4OF9wRsK0BFhb5v2C098v/Y7PW34OSwvLJ1KOzTc2
  44TfCej0OqzquSrPdCm6FGxx34JhzYbh5UUvIyA6APTjs31SafaJ2fjuv+/g+7UvalaoWSTrNLZP
  vEi5uHAL+/TpjK6UgpQvz10v33zDfytWPNkAvvTCUhR253fM9xhuPLiBE34nMMFlAuJT4tPnxSTF
  YM2VNVnSr3dbjz+u/pFlWkJKAgDA0d4RPpE+CI0LxarLqzDrxKxc17nLcxcCogNynbfDcwf6beuH
  K8FXsPf2XvhG+maZHxIbgq3uWx/7cxbGjQc3cNjncJGsK7Pw+HBs89iW5/xVl1chNrnwT03a6r4V
  YXFhBqUNjQuFjnS4H3U/zzQ3HtzAyP0jcSP0Rp5p8hKZEIl119blm0ZPeow+MBqbbmyCf7R/vmmP
  3D2Cj3Z/hKvBVxEQHYASliXw2/nfHrtcu2/txtQjU9O37aeRnvT49si3WHJ+CTq83AGn7582+Toe
  JT7CBrcNj7XMUxXEN2/mW97j4zmYN29u+LLdu/PzMpTiSxIL41rINWz32J5vmoiECIw5OAZ/XP0D
  dx7eeaz8g2OC0XlDZ8w5NQebrm/ConOL4BHqAecLzjjodRAaVw2+OvgVUnQZD3vwifTJ8UO6FX4L
  NpY2SNImwTvCG6FxoTgTcAbnA89Dq9dCq9di8bnF6ennnp4LF+/c+1jdQ93R/uX26L+tP3pt7YXl
  l5ZnmX/83nF8ue9LJGmT8vxc//n+h/MB5x+rLnIz6+Qs9NvWDzOPz0yflqxLxsKzCw3OY/et3fAI
  9cgy7X7UfWy+sTnPZdZcWYNP9nyCuOQ4AEBYXBhWX1mNlZdXIigmCKMPjMaOmzsMWv+loEs45nss
  y7Q5p+YYvHMKjQuFtYU1ZpyYgSRtEhaeXZij7v/y+AuWyrLAE6BH7x7FleArWaZturEJ045Ny3e5
  m2E38SjxEWKTY3E/6j6uhVzDmANjsuyI0r6XrR5bUbl0ZXTb3A3v1XsPSbokjD00Flp97vf6JeuS
  MffUXGxw24AbD25Aq9di6pGp+GzvZ7gYdBHdNnfD53s/x9qra/MtY2ZLLyxFTFKMwekLsu7aOjyI
  fZA+rtPrMP/MfNwMu4k/r/+J/R/sR98GfXHaP/cgTkSY7jodn+/9HFeDrz7Wug95H8IP//3wWMs8
  NQ/A0uuB//2Pr91euxaoXbvgOxaza9aMu2AK002l1WsxYPsAhMaFommVpqhvXx+3wm/BLcQNAxtn
  3LvkE+EDAJh8ZDKmO01HvUoZ9717R3jjQuAFfNDkg1zX8ef1P1HWpiySdEmITX0e5vnA8xh7cCwq
  lqqIhwkPAfDOpLVDazhfcMb5gPN4oTQ/1WjZxWU4H3gelsoSTjWdcPzecUQlRUFBIS4lDlVKV8H1
  B9dR0qokxruMR7kS5dD+5fbwifCBT6RPrmVyD3XHzDdnIjIxEsd8jyEwJhAAsPDsQnzR6gv4R/sj
  KikKLj4ueXa5rLi8AgnaBOwZtCfX+YaITIjEIe9D+LPPnxi0YxC+af8NSlmXgou3CyYenojPWn6G
  ciXyv79dT3qMOTAG1pbW0HTSoI1DG5z2Pw2fCB/s89qX5XvZ7rEdJ++fxNy35+LPG3+iXIlyOOB1
  AAMaDcAGtw2YcWIG4pLj8NuF30AgbPXYio+a53I2PHtdXFqB6ORolLUpi7D4MHR7pRuCY4Kx2X0z
  SlmXQt8GfbHBbQOsLayRoE3A1eCr6FSzE/o37A+Ag/jy7suxxX0Lev/VG4e8DyE0LhRz387oVzxy
  9wg+aPIBjvkeQ5faXXDM9xhGvDoiR1mWXVqGyraVsbxHxo55q/tWBMUEISElAaWsc3+y1Bn/Myhj
  UwaxybHwj/aHxlWDC4EXEBYfhpJWJVHHrg461+qMiYcnwtbaFhc+u4ALgRfQr2E/1Heuj5DYECy9
  sBS9HHvl6G74+fTP6UeMNSvURN8GfXEm4Az2f7AfjvaO2OG5AwHRAVh4biE+afFJgfWt0+vwzb/f
  oLRNaXzc/GO4eLvAQlmgS50uBS6bXbIuGaP2j8Kaq2uwrNsyjGw9EgBw/cF1TPp3Eh4lPkLn2p3R
  2qE1ErQJ2OHJO/YNbhvQrEozNHuRuw6uhlzF2mtr8XHzj9F/e394jvaEjaWNQWU4ff80AmMCodPr
  YGlhiZDYEOz03JnvMk9FENdqgQ4d+CabhATg7bdzf2ZyQV57rfDPCvZ75IdkXTKGNR2Gf+78g/r2
  9bHn1h78duE3NK7cGJeDL2NYs2HpwTAiIQJBMUHpy6foUjDo70GITY7NEcR9Inxw1Pco/vL4C9+9
  8R0239gMa0trtHFog8XnFsPSwhIPEx7CysIKdSvWxan7p9D8xeaY9O8kJGoTkahNRGRCJKYenYrP
  WnyGhecWYmK7iTjscxhJ8dxKa1K5CbrU7oLdt3ajceXGAIBP936aUYZMQfzP63+ijUMbnPU/iyvB
  V9CkShPY29qjRvkaGL53OCISIjDx8ER4R3jD2sIa9SvVx1b3rXkGcfdQd3hFeCEqMQrlS5bPs44P
  eB2ArbVtrv32Xx38CsOaDkMvx154peIr8Az3RMuqLbHhOh9aeoR6ZDl5u/zicrxe/XU0qZLx7IH/
  fP+DXSk7jHttHH469RNKWZWCd4Q3bCxtEJsci2RdMmwsbeAd4Y1RB0bhpbIvodfWXrAraYc+jn1w
  /cF1DGg0ANtubkN8SjyaVmmKBG0CPmzyIXZ47kCKLiXXfuqFZxfiYtBFDGkyBGcCuHW8xX0LDngd
  wLWQawiLD8MBrwM4evcovnz1S/xx9Q/EJMeglFUpOJRzgFeEFxrYN8CloEsIjQtFt1e6oUe9Hmi8
  vDHGthmL9W7r0aNeD/hH+aNuxbq4EXoDO97fgbZr2qLLxi4Iiw9DLbtaeKfOO5h2dBrKlyyPyR0m
  wz3UHSUsMx5yfj/qPm6F30Jtu9q4G3kXjSo3yvV7uhZyDf0a9MO+O/vwMOEh9tzeg90Dd6PPX33w
  c5efsfDsQvg98oOVhRVec3gNjSo3Ss+rbsW6CIkNwcwTM2FlYYXRbUZnyXu/135sH7AdNSvUxJxT
  c7D80nLcGHkD1crxD354i+GISYrBvNPzQERZThzOPzMfI18didI2fENIeHw4Jv87GYnaRKx3W4/O
  tTpjyK7NHx4NAAAgAElEQVQhsFAWuPLFFTiUc8hzW8yNR6gHjvoexSfNP8lycjntiGf2ydn4vfvv
  AIBGLzSCe6h7+lFK1bJVcf6z85h/Zj4exD7AkKZDoHHS4KjvUYzcNxIdqneAhbJAQHQAJrSbAFtr
  W2zz2IZdt3ahaeWmmNpxKnZ57sL2m9uh1WvxIO4BqpapiuF7hsPFJ/8rlcwaxFNSOGifOsXjZ8/y
  5YI2hu20cjDmGm+fSB/UrVgXHap3wF8ef6HkhZLYc3sPAmMCMfbQWLiHusPR3hHjXcanLxMcG5w+
  PPvkbFQsVREeYR5I1CaipBU/H1ar12LIriHwCPUAgTC8xXDMPDET5UqUQ1/HvnC+6IzhzYdjv9d+
  7P9gPwKiA/CD6w/49+6/SNQmAgCikqLwf5v+D2/VeguTO0zGwnMLUceuDgCg+yvdcdzvOBpXboxB
  jQeh2+Zu6T9cC2UBPfFzCTJvlLNPzsbo1qOx4vIKLOm6BPa29gCAhi80xO3w25jgMgGNKzfGfq/9
  iEqMwty352Lyv5Ox4MwCTGw/EQDw08mfUKN8DdiVsoNPpA8c7R3hGe6JttXapq/noNdBrHNbh2Xd
  lsH5gjM0xzXoVKMTXD92zVL32z2242LQRVwdwYeejSs3xgc7PkDdinXhEeaBfg364eM9H6PRC43Q
  x7EPatvVxpQjU/By+Zdx+YvLKGlVEjq9DqMPjMbMN2eib4O+GO8yHtXKVcPlLy7DL8oPYw6MgddD
  LzSq3Ajrrq3DR80+Sv8+3b50g+s9V5zwOwEiwo0HN9CrPrciJ7SbAGsLa1wOvgy3B2549SV+G8F/
  vv9Bq9eiRdUWmH58Oka0GoHZJ2fjftR9aPVaXA6+jNsPb2PasWmwVJZQSmHfB/sw++RsvPrSq5j3
  9jzYWtsiUZuIQTsGYeHZhVjvth460sHe1h7WltY4Pfw0HMo64K1ab+Gj3R8hSZuExpUbo9ELjeBQ
  zgHHhh3D7Ye3UcKyBIbsGoLe9Xtjv9d+lLQqiVP3T+HOwzsoY1MGIbEheLHMi9jgtgF9HPsgMCYQ
  fbf1xbCmwzDtjZxdK+6h7tA4afD1a1+j5cqWGNBwAHrW74krI66g+YvNERgdiMXnF2Nlj5V4t27W
  Bwqt6LECQ3YOwdWQq3APdQcAXAi8gMtBl/Hlq1/CI9QDHap3QMVSFbHyvZW4H3U/PYCnKVuiLEpb
  l0ZIbAiqlq0KgLsQJ/07CZeCLiFZl4x21dqhll0trL22Fl1qd0FIbAja/9Ee414bBx3p8PbGt7Hw
  nYX4v1f+Lz3fRWcXoZdjL9S2q53jM6d97rbV2qJ/w/7ovbU32r/cHv0a9sNR36NwKOuAwJhADGg0
  AABQybYSSluXxo+uP2JKhynwDPdE0+VNEZEQARtLG7iP4s8+uPFgTPp3Ev64lnFeq45dHZzxP4Ot
  Hlvx89s/Y+7puThx/wQuBl7E4q6LsejcItyPuo99d/bhQdwD9G/YH9uQ9zkbs74UIu0die3a8dvZ
  zWHx2cXkE+FDSy8spc/3fk5+j/yo1KxSpDSKoAH12dqHoAGVmFmCys0pR9CAqvxShaABvbvxXVpz
  ZQ1129SNKv9SmQKjA+mVX1+hVitaUfdN3enXc79Sxz86Uuf1nanm4prktM6JiIjs5toRNKB1V9cR
  NKB7kffoxgN+h1hiSiJVmFuBoAE5rXOi6yHXCRpQ903d6UHsAyIiqvtrXTrsfZh8InwoMSWRai+p
  TbNPzCa9Xk8u3i4EDcj+Z3uq/1t9emfjOwQNqOSskvTHlT8oPC6coAF9tOsjKvNTGUrWZn2b7yGv
  Q6Q0ij7b8xktv7icoAGdDzhPR3yOkP3P9jT2wFj6ZPcnBA3IcrollZxVkhydHWnQ34Noo9vGLHn1
  /asvWc2woq03tlLZn8rS+EPjqdcWfjdaYHQgTXSZSAFRAVTllyp0zv9c+nLjDo4jaEB/e/xNvpG+
  NPXIVIIGNMN1Bjmtc6Jhu4bR4rOLacC2AdRqRSsavns4uXi7UMsVLdPzeGfjOzTddXqWsow/NJ5m
  uM6gmotr0qXAS5SsTaZbYbeIiOiw92F6a/1bFBYXRhXmVqDA6EAKjQ1NX37EPyOo7eq25PfIj4iI
  3lj7BjVa2og6/tGR3t/+PgVFBxE0oH5/9SNHZ0eCBnTE5wjV+60etVzRktxC3IiI6FHCI/KP8k/P
  NzElkWxm2lDFeRXp6N2j9J/vf7lupx/v/pigASmNonEHx+WYf8rvFNX9tS5NdJlIfo/8qMuGLgQN
  aMq/U6iBcwNadHYRVZpXiW6H36auf3YlaEAV5lag6yHXqf+2/tR/W38KiQmh/x35H0GD9M/u/dCb
  krRZ3xQcnRhNuz13U0JK7m8jeW/ze+ll7bG5B704/0WqMLcCbXPfRi8teCnXZbJru7otnfQ7mT7+
  438/Us3FNan07NK00W0jlZtTjuacnEPQgKYemUpB0UG0/85+StGlUIouhSYfnkzDdg1LXz4sLoys
  ZljRm+vezLGumKQY+v7Y9zTp8CSadXwW+T3yS//NHLt7jGosqkHBMcHkG+mbZbm0OvZ+6E2xSbG0
  23M3hcSE0O3w2+lpkrRJdCf8Dl0KvEQ2M20IGlC5OeXIaZ1T+jbhH+VPO27uoKvB/GLdPlv70NyT
  c8n+Z3vyCPUgj1CPp/cdm0OG8Atxra35TSlFTa/XU5VfqtDaq2tpwqEJNO/UPCIicvV1pcPeh8li
  ugVdD7lOFtMt6GrwVTrpd5L8o/xpw7UN9MLPL1DT5U2pxe8taPHZxelfnKOzI1WcV5FWX15NFtMt
  aLrrdIpMiKQhO4fQd0e/IyIOANCAztw/Q9UXVc9RLu+H3hQWF0bhceFERHQv8h6l6FLS598Jv5Nl
  vP2a9rT31t70cd9IX1pybgn139afYpJi6P6j+7Tbcze9OP9F2nlzJ1nPsCaL6RbpO5XsnNY50a/n
  fqXQ2FCCBhQcE0xERNUWVqPqi6pTw6UNqe6vdanawmp0MfAi3Xhwg6YdnUaa/zQ56nbkvpHUZ2sf
  emnBS3Tm/hlqs6oNERH13tqbKsytQJV/qUzfH/s+y/pjkmLS10lEFJccR4HRgRQUHUR2c+2owtwK
  FBQdRLFJsbTv9j5qvKwxOTo70i+nf0lfxu+RH8UkxaSPu/q6ktIosptrRz239CR9tleve4Z5Ut1f
  69KVoCvUdHnOt+MGxwTT+EPj6c11b9Lt8NtkN9eOKs2rRF8f/JoexvPGW3tJbdrmvo0Wn11M0ID0
  ej0N/nswdd/UPdd6TlN9UXV6Y+0b+aZJSEmgPbf2EDSgbe7bck0TFB2U/pmTtcl0L/IeJWuTafP1
  zWQ1w4qcz/Prh8LjwikiPoKG7hxKjs6O1GNzD3pv83vUZlUbspphRdAY9yqcT3Z/kp6P83lnOn3/
  NM07NY9qLq5J72x8x6A8huwcQqsvryYi3pbq/1afTt8/Td4PvYmIqP+2/vTywpdp5L6R6b+TzM4H
  nM+yU191eRX1/asvlfmpDEUm8KuagqKDaPT+0bTmyhqCBlRzcU3a7bmbiHh7qfJLFRr892BaemFp
  rmX0fuidpfFRkGbLm9GHOz4kF2+X9DLkZtzBcWQ1w4oWnV2UPu2pDeL9+/ObyufNM7geTCYkJoTe
  XPcmQQPqtLYTVf6lMu24mfW1814PvbL8T5OYkkiXAi9RqVmlyHa2LSWmZLwhNywujOKS+TXy3g+9
  04NFaGwoRSVGERHRorOLCBqQTq8jnwgfoz/Lvch7pNVps0yLTYrNEgiJiFquaEmv/PoKfbrnU4IG
  NP/0/FzzSwuQaZ8hzaC/B9GUf6dQWFwYxSTFUGB0YPq8tVfX0tCdQ2nsgbEUHhdO3g+96aUFL9Ep
  v1MEDajz+s7kG+lLpWeXpkF/D6Lyc8pTcEwwHbt7LMsOKT96vZ4qzquYozX1y+lf6OWFL9OjhEf5
  Lu/10CtLoMssNimWoAG1+L1FnkFXq9NS+zXtqeK8ijT/9Hy6/+h+lnr3ifAhnV5Her2e7j/i17DP
  OTmHRvwzIt9ydV7fmZZdKPhQNCElgWxm2mSpd0Nl3hbTeIZ5UslZJemQ1yH61+dfKjmrJHmEeqSX
  vbC+cfmG6v1WL/2ohYi3UYvpFnTI65BBeay9upZ6b+1NiSmJNGDbAKq1uFaW8q+6vIqgAa25sibX
  5WOSYgga0FcHviIioi/2fkFLLyylTms7pZfh/e3vU6V5lch2ti05OjtSw6UN048u9Ho9QQOCBulH
  wMYaunNoloZGXh7EPqDj946TTp/xhvCnNoj36EG0dy8VuR03d1DNxTXTvyRoQOMOjstx2JgfrU5L
  0IA6rOnw2OvX6XVG/1AK45DXIbKcbkl3wu8QNHjsMoTFhaUH9+xO+Z2iqvOrpneDrL+2ngZsG0A6
  vY6URlHfv/pSQkpCen0P2TmkUJ/BaZ0Trby0Msu0ZG2ySX5oaWXr91e/PNM8SnhEZ/3PZvmB5Sc2
  KTbXlmJmgdGBObq18pI5MJpCYHQg6fV60uv1FBAVYJI8556cS53Wdsp1XYaKTIikcnPKkaOzI723
  +b0sXVBExF0MGtBh78N55pH2faboUqj9mvZ0/N5xmnZ0Gr2//X0a8c8IKjenHPk98qMz989QfHJ8
  +hFV5uXz2xYeV36/n4I8tUH87beJDuf9HTwRfo/8yP5ne/rn9j+UkJJAB+4cSO/aeFw3Q2+abMMv
  KmnBrjCtufxodVrqsKYDlZ9Tnmxm2pDFdAtafHYxERHFJ8ent36hAY3cN5KiE6MLtZ6QmBCDW+6P
  KywujErPLk0f7PjgieT/vFh/bX2hd9KZ+UT40Jn7Z3Lte9fpdWT/s32Oo+TMwuLCqM6SOnQz9CaV
  m1OOwuPCKSg6iCrOq0iW0y3J0dkx3/U/jH+Y4wjXXPIL4ma9OiUxsehf8jveZTzGvTYOPerxm4xf
  felVlLUpi5ZVWz52Xg1eaGDq4j1xlUvzrawvlX3JpPlaWlji36H/4rT/aXTZyNfodqzREQByXI/8
  Vq23ULZE2UKtp0qZKsYVNB/2tvYInhgMK4un4srbYmtQ40HoVb+X0fnUtqud55UkFsoCN0fdTL+H
  Ijf2tvZoXLkxNt/YjDI2ZVDJthIA4M6YO5h/Zn76fRl5qViqYuELX4TM+uyU1q2BZcv4/5Og1Wsx
  dNdQjHx1JJwvOCMmOQZn/M/g7ti76V8owDea2JWSN0GYStot6mVsyuSYJ3UtipLGVYMZx2fg9x6/
  44tWX6RPT9ImQavXpl9z/rTL79kpZg3iTZvyM0+exLsiw+LC0GZ1G5SwLIF7j+6h3cvtEBIbAgDw
  HO1p+hUKIZ46SdokBMcGF9mDqp4Uo952/yQlJvKjZU3t64Nf42b4TVQuXRknPzmZ3vpbcGZBvg8W
  EkI8W0pYlSj2AbwgZn0A1uP0iR/zPYaqC6pi9ZXV6dM+3v0xfjr5U5Z0PhE++PXCrzhy9wga2DeA
  jaUNqpSpAhtLG0zuMBm/dXv8J6wJIcTTqtgE8VH7R6Fj9Y447nccAD+Oc73b+hwPh9nivgXv1uFb
  gdNuTU9jaWEpJ62EEM8Us3enFBTE31r/Fka1HoXw+HB80/4bdN/cHeXnlke5EuXwWYvPsO3mNmj1
  Wjitc0KiNhEJ2gQs774cx/2Oo07FOvlnLoQQxdxT3RJP1CbiuN9xfLjzQ7R/uT0avdAID+MfYljT
  YahYqiLGtR2HVyq+gqbLm8LtgRseJT5CTFIMXq/+OjrV6IRmVQx8q4QQQhRTZmuJ6/X8CFq9SoJW
  n3s3h2+kL+rY1cHbtd9G8xebo7RNaXSs0RFj2oxJ79u++PlFNFjaAK1fao3ejr0RlxwHC2WBQ0MO
  FfVHEkKIIme2IJ6UBFhXvouqC1uh9UutcXhozjefeEd4o07FOljWfVn6tOMfH8+SRimFEa34gfhj
  Xxv7ZAsthBBPGbMF8cREAO0W4v2G7+Nvz79BRNDqtbBQFukvf/WJ9EFdu7oF5jW+3fgC0wghxLPI
  bH3iiYmAhW0UXq/+OiyUBfyi/PDVwa/w24WMSwC9HnqhbsWCg7gQQjyvDAriSqmuSqlbSqk7Sqkc
  789RSn2jlLqqlLqilLqhlNIqpSrkl2diImBhk4hS1qVgZWGFWktqYfvN7XC955r+BniPMI/0V40J
  IYTIqcAgrpSyAOAM4F0AjQAMVkpleYUxEc0nohZE1BLAVACuRPQov3wTEwFlza8xG9N6DBzKOiA2
  ORZ7bu9B61WtQURwD3WXIC6EEPkwpE+8DQAvIvIDAKXUVgC9ANzKI/1gAFsKyjRzEJ/2xjT0rN8T
  666tg3sYv3zUxccFSqn0p+4JIYTIyZAg7gDAP9N4ADiw56CUKgWgK4DRuc3PLDERUFYZLxRuUqUJ
  Fry7AAAw8/hMDN8zHB2rd8zytmshhBBZmfrqlPcAnMqvK0Wj0QAAfH0BbUJoehDPbHKHybj76C6m
  O003cfGEEOLp5+rqCldXV4PSFvgoWqVUWwAaIuqaOv4t+C0T83JJuxPANiLamkde6Y+iPXAAGHi8
  Cc5O3CL93kIIkY/8HkVryNUpFwHUVUrVUErZABgEYG8uKykPoBOAPYYUKiYGgGViri1xIYQQhimw
  O4WIdEqpMQAOg4P+GiLyVEqN4Nm0MjVpbwAuRJRgyIqjowGSIC6EEEYxqE+ciA4BqJ9t2ops4+sB
  rDd0xTExgN5CgrgQQhjDbHdsRkcDOiVBXAghjGG2IB4TA2gliAshhFHMFsQfRWsBkLxpRwghjGC2
  IB4VmwRrJa1wIYQwhvla4nGJKGEpQVwIIYxhvhOb8QmwsShhrtULIcQzwYxBXE5qCiGEscwWxGMT
  E1HSWoK4EEIYw6xB3NZGgrgQQhjDfK9n0yailLTEhRDCKGYL4lokoqSVnNgUQghjmCWIEwE6JKOk
  tQRxIYQwhlmCuE4HKKtklLCyMcfqhRDimWGWIJ6SAljapMDawtocqxdCiGeG+YK4dQqsLSWICyGE
  MczYEk+GjaV0pwghhDHM2xKX7hQhhDCK2YK4hXWKtMSFEMJI5gviNsnSEhdCCCOZrzvFSk5sCiGE
  scwWxJV0pwghhNHM151iJd0pQghhLPO1xKU7RQghjGZQEFdKdVVK3VJK3VFKTckjjZNS6qpSyl0p
  9V9++XFLXLpThBDCWAW+al4pZQHAGUBnAEEALiql9hDRrUxpygNYCuAdIgpUStnnlye3xKU7RQgh
  jGVIS7wNAC8i8iOiFABbAfTKluYDADuIKBAAiCg8vwxTUgBYSneKEEIYy5Ag7gDAP9N4QOq0zOoB
  qKiU+k8pdVEpNTS/DFNSAGUp3SlCCGGsArtTHiOflgDeAlAawFml1Fki8s6eUKPR4NYtIOruBfi0
  sANamagEQgjxjHB1dYWrq6tBaQ0J4oEAqmcar5Y6LbMAAOFElAggUSl1AkAzALkG8b//Bs6c8kKT
  15oYVEghhHieODk5wcnJKX18+vTpeaY1pDvlIoC6SqkaSikbAIMA7M2WZg+A15VSlkopWwCvAfDM
  K8O0PnHpThFCCOMU2BInIp1SagyAw+Cgv4aIPJVSI3g2rSSiW0opFwDXAegArCSim3nlmZICkIVc
  nSKEEMYyqE+ciA4BqJ9t2ops4/MBzDckv5QUABZydYoQQhjLbHdskoV0pwghhLHMGMSlO0UIIYxl
  1pa4dKcIIYRxzBbE9UresSmEEMYySxDXagFS8o5NIYQwlvm6U5R0pwghhLHMFsR10p0ihBBGM1+f
  OKQ7RQghjGXGE5vSnSKEEMYyX3cKpDtFCCGMJd0pQghRjJkxiGthZWGqx5kLIcTzySxBXK8HdKSV
  PnEhhDCS2YK4tMSFEMJ4ZgniOj1BDx0slaU5Vi+EEM8MMwVxHSxgCaWUOVYvhBDPDPMEcdLCUklX
  ihBCGMtsQdzCsJcKCSGEyIe0xIUQohiTIC6EEMWY+bpT5MoUIYQwmrTEhRCiGDNTENfBUk5sCiGE
  0QwK4kqprkqpW0qpO0qpKbnM76SUeqSUupL6911++UlLXAghTKPASKqUsgDgDKAzgCAAF5VSe4jo
  VrakJ4iopyEr1UMLS7nlXgghjGZIS7wNAC8i8iOiFABbAfTKJZ3Bt1/qpSUuhBAmYUgQdwDgn2k8
  IHVadu2UUteUUvuVUg3zy1C6U4QQwjRMFUkvA6hORPFKqf8DsBtAvdwSajQa3L8VhMT4ULi2doWT
  k5OJiiCEEM8GV1dXuLq6GpRWEVH+CZRqC0BDRF1Tx78FQEQ0L59lfAG0IqKIbNOJiNCq13nEdxoL
  zwnnDSqkEEI8z5RSIKJcu6wN6U65CKCuUqqGUsoGwCAAe7OtoEqm4TbgnUME8qCHdKcIIYQpFBhJ
  iUinlBoD4DA46K8hIk+l1AieTSsB9FdKjQSQAiABwMD88tRDCysJ4kIIYTSDIikRHQJQP9u0FZmG
  lwJYauhK9aSFjVxiKIQQRjPPHZvQylt9hBDCBMzzjk15v6YQQpiEeYI46eTEphBCmIC0xIUQohiT
  IC6EEMWY2YK4PABLCCGMZ76WuPSJCyGE0aQ7RQghijEJ4kIIUYyZJ4grLawsJYgLIYSxzBLECVpY
  S0tcCCGMJlenCCFEMWaelriSlrgQQpiCGVvi8gAsIYQwlpn6xHXSEhdCCBOQq1OEEKIYkz5xIYQo
  xsx2iaHc7COEEMYzW0tculOEEMJ4ZusTt5YgLoQQRjNfn7gEcSGEMJqc2BRCiGJMWuJCCFGMGRTE
  lVJdlVK3lFJ3lFJT8knXWimVopTqm19+EsSFEMI0CgziSikLAM4A3gXQCMBgpZRjHunmAnApKE+5
  OkUIIUzDkJZ4GwBeRORHRCkAtgLolUu6rwD8DSC0wByVFlby7BQhhDCaIUHcAYB/pvGA1GnplFIv
  AehNRMsBqIIylO4UIYQwDVNF0sUAMveV5xnINRoNdDc8sHvV36g20B5OTk4mKoIQQjwbXF1d4erq
  alBaRUT5J1CqLQANEXVNHf8WABHRvExp7qYNArAHEAfgCyLamy0vIiJYDOmBHVO/RJ9GPQz8SEII
  8fxSSoGIcm0cG9ISvwigrlKqBoBgAIMADM6cgIhqZ1rZWgD/ZA/gWVhId4oQQphCgZGUiHRKqTEA
  DoP70NcQkadSagTPppXZFykwT+kTF0IIkzAokhLRIQD1s01bkUfa4QVmKC1xIYQwiSK/Y5MIEsSF
  EMJEJIgLIUQxVuRBXK8HYCEvhRBCCFMwTxC3lCAuhBCmYJYgrqQlLoQQJiHdKUIIUYyZ7cSmpZIH
  YAkhhLHM1BLXSUtcCCFMQLpThBCiGJMgLoQQxZgEcSGEKMbME8RV1iBes2ZNKKWeib+aNWsWdZUK
  IZ5jRd4czq0l7ufnh4Kea15cKFXgi42EEMJkzHKJIUl3ihBCmMRT0Z0ihBCicIo8iOt0BFhqYSlv
  uxdCCKMVeRDX6vSA3gIWqshXLYQQz5wij6TJOi1A0pUihBCmUORBPEWrhaLi1ZUSGRmJPn36oEyZ
  MqhVqxa2bNli7iIJIQQAM1ximKLXAfri1RIfNWoUSpYsibCwMFy5cgXdu3dH8+bN0aBBA3MXTQjx
  nDNDn7gWqhh1p8THx2Pnzp2YNWsWSpUqhQ4dOqBXr17YuHGjuYsmhBBm6E4pZkH8zp07sLa2Rp06
  ddKnNWvWDB4eHmYslRBCsKLvTilkEDfFjZCFuSk0NjYW5cqVyzKtXLlyiImJMb5AQghhJINa4kqp
  rkqpW0qpO0qpKbnM76mUclNKXVVKXVJKvZVXXik6baH6xImM/yuMMmXKIDo6Osu0qKgolC1btnAZ
  CiGECRUYxJVSFgCcAbwLoBGAwUopx2zJjhBRMyJqAeATACvzyq+4dafUq1cPWq0WPj4+6dPc3NzQ
  qFEjM5ZKCCGYIS3xNgC8iMiPiFIAbAXQK3MCIorPNFoGQHhemRW3IG5ra4u+ffvihx9+QHx8PE6d
  OoV//vkHQ4cONXfRhBDCoCDuAMA/03hA6rQslFK9lVKeAA4AGJtXZsUtiAPA0qVLER8fj8qVK2PI
  kCH4/fff5fJCIcRTwWTRlIh2A9itlHodwEYA9XNLt+WP36C9/RAajQZOTk5wcnIyVRGeGDs7O+za
  tcvcxRBCPCdcXV3h6upqUFpV0HO8lVJtAWiIqGvq+LcAiIjm5bOMD4A2RPQw23TaeOQyvtj/GeIX
  Xsk8/Zl6nviz8lmEEE+H1LiS6zV6hnSnXARQVylVQyllA2AQgL3ZVlAn03BLAMgewNOk6LSwKGbd
  KUII8bQqMJoSkU4pNQbAYXDQX0NEnkqpETybVgLop5QaBiAZQByAgXnlVxz7xIUQ4mllUDQlokPI
  1sdNRCsyDf8M4GdD8tLqtVAoXg/AEkKIp5UZnp2ik5a4EEKYSNEHcZI+cSGEMJUiD+Jr7v4ARdZF
  vVohhHgmFXmTeFC1KfjnSK6XkAshhHhMRd4Sb1+xN8omyt2OQghhCkUexPV6wKKYvSN56dKlaN26
  NUqWLInhw4ebuzhCCJGuyLtTimMQd3BwwPfffw8XFxckJCSYuzhCCJHOLEHcFC94KEq9e/cGAFy8
  eBGBgYFmLo0QQmQo8jbxwIFAmTJFvVYhhHg2FXlL/O5doDAvxVHTjW++04/yYCohxLOlyIO4vX3h
  lpMALIQQORWzU4xCCCEykyBuAJ1Oh8TEROh0Omi1WiQlJUGn05m7WEIIIUHcELNmzYKtrS3mzZuH
  TZs2wdbWFrNnzzZ3sYQQouA3+5h0ZUpRbut7lt6G8yx9FiHE08HYN/sIIYR4SkkQF0KIYkyCuBBC
  FGMSxIUQohiTIC6EEMWYBHEhhCjGnoqXXdaoUQOquD3aMA81atQwdxGEEM8Rg64TV0p1BbAY3HJf
  Q0Tzss3/AMCU1NEYACOJ6EYu+eR6nbgQQoi8GXWduFLKAoAzgHcBNAIwWCnlmC3ZXQBvEFEzALMA
  rJZNmZIAAAPqSURBVDKuyM8+V1dXcxfhqSF1kUHqIiupj4IZ0ifeBoAXEfkRUQqArQB6ZU5AROeI
  KCp19BwAB9MW89kjG2cGqYsMUhdZSX0UzJAg7gDAP9N4APIP0p8BOGhMoYQQQhjGpCc2lVJvAvgE
  wOumzFcIIUTuCjyxqZRqC0BDRF1Tx78FQLmc3GwKYAeArkTkk0declZTCCEKIa8Tm4a0xC8CqKuU
  qgEgGMAgAIMzJ1BKVQcH8KF5BfD8CiGEEKJwCgziRKRTSo0BcBgZlxh6KqVG8GxaCeB7ABUBLFN8
  wXcKEbV5kgUXQghRxM8TF0IIYVpFdtu9UqqrUuqWUuqOUmpKwUsUb0qpNUqpB0qp65mm2SmlDiul
  biulXJRS5TPNm6qU8lJKeSql3jFPqZ8MpVQ1pdQxpZSHUuqGUmps6vTnrj6UUiWUUueVUldT6+On
  1OnPXV0AfB+KUuqKUmpv6vhzWQ9GIaIn/gfeWXgDqAHAGsA1AI5FsW5z/YGv0GkO4HqmafMATE4d
  ngJgbupwQwBXwd1bNVPrSpn7M5iwLl4E0Dx1uAyA2wAcn+P6sE39bwm+r6LDc1wX4wH8CWBv6vhz
  WQ/G/BVVS7zAG4aeNUR0CkBktsm9AKxPHV4PoHfqcE8AW4lIS0T3AHiB6+yZQEQhRHQtdTgWgCeA
  anh+6yM+dbAEuIETieewLpRS1QB0A7A60+Tnrh6MVVRB/HFvGHpWVSaiBwAHNgCVU6dnr59APKP1
  o5SqCT5COQegyvNYH6ldCFcBhABwJaKbeD7rYhGASQAyn5h7HuvBKPIoWvN6rs4qK6XKAPgbwNep
  LfLsn/+5qA8i0hNRC/DRSEellBOes7pQSnUH8CD1CC2/S4+f6XowhaIK4oEAqmcar5Y67XnzQClV
  BQCUUi8CCE2dHgjg5Uzpnrn6UUpZgQP4RiLakzr5ua0PACCiaAAHALyK568uOgDoqZS6C2ALgLeU
  UhsBhDxn9WC0ogri6TcMKaVswDcM7S2idZuTQtZWxl4AH6cOfwRgT6bpg5RSNkqpWgDqArhQVIUs
  In8AuElESzJNe+7qQylln3bFhVKqFIAu4BN2z1VdENH/iKg6EdUGx4NjRDQUwD94jurBJIrqDCqA
  ruCrErwAfGvuM7pF8Hk3AwgCkATgPviZMnYAjqTWw2EAFTKlnwo+4+4J4B1zl9/EddEBgA58VdJV
  AFdSt4eKz1t9AGiS+vmvAnAD8E3q9OeuLjJ9vk7IuDrlua2Hwv7JzT5CCFGMyYlNIYQoxiSICyFE
  MSZBXAghijEJ4kIIUYxJEBdCiGJMgrgQQhRjEsSFEKIYkyAuhBDF2P8DSSN3y7QTDX8AAAAASUVO
  RK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795c2c7cd0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAJZCAYAAACTE4A9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzs3XmYXVWd7//3lyTMBIJARTIho6iooKIteClEQUCGFhtB
  r1FQcBZtVEJff5oeNQ4N/LTpVkHItYEIOIB2NyBC2WK3gkyCCSRIZyCYAgTCDIF87x9rFzmpnEoq
  JFlVyXm/nqee7LP3Pnuvs2qfnM9Za+1VkZlIkiRp3dpoqAsgSZLUCQxdkiRJFRi6JEmSKjB0SZIk
  VWDokiRJqsDQJUmSVIGhS5LWYxHxvoj45Vo+5gERsaD2c1dx3PMi4m9e4HO/GBHfW9tlklaXoUta
  SyLiDRFxXbO8NCIWRcRGLdtHRsR9EfFcy7prI+LEZvmA5nnf7HfcX0bE5Ga57QdsRPRExIMRMarf
  +vMi4umIeKT5eTQibl7Ja9i/2eeRiHisKc8jLevGt+x7fkQsiYiufseY2jzvnS3rRjTrJraU62/6
  PW9Ss89K/18azHMjojsiromIhyPi7jbHmNRsfzwiZkbEQf22vzsi5jav+4cRsc3KytQ8pycinoyI
  xc15b4iI0yJi4377vSwiLmv2WRwRP4+IP1vV8VdhXUy4uCbHHI4TQA7HMqnDGLqkRkTEGh7icODf
  Wx4/BBza8vhQ4MFVHONx4L194WQAy314RMQkYF/gPuDINvtPy8zRzc9Wmbn3gAfOvK7ZZzTw8uZc
  W/ety8x7mnNuDrwDmAn87zbl+xPw1/3qdDAfemvrg/5x4FzgMwPsexFwI7At8Hng0oh4EUBEvBz4
  F+A9QBfwJPDPgzz/RzNza+DFwKnAcbRcExGxC3AdcCuwE7Aj8GPgqoh4/WBepKT1l6FL65Wm5eCe
  ptVlVkQcGBEbRcRfRcRdTcvBDRExrtn/jRFxfUQ8FBG/aW1RaFqZ/i4irouIx4GXRMToiDg3Iu6N
  iAUR8bd9wSEidmlaMx5uWqwu6le8w4B/a3n8PeB9LY8nA9NX8RIfBs4Hpq5GtUwGfgb8X+D9q/G8
  wWoXRo8B/geYNsA5rwSeAd67iuOsE5l5Q2ZeQCnjciJiN2BvYGpmPp2ZPwR+R3lNAO8GLs/MX2Xm
  E8D/B7wjIrYYxKmjOf+TmfmflBD8ZxFxWLN9KvBfmfmFzHw4Mx/PzG9QrpVpTfn6Wu3eHxHzI+KB
  iPhwRLw2Im5tWjS/MWABynM/ERF/aK7Tr6xk38Mi4vfN+2lBRPzl8pvjLyOiNyIWRsT7WzZsHBFf
  i4h5EfHHiDg7IjZpc/zPRcQl/dadFRFnNsujI+Kcdu+3AWwfEVc15b229ctJRJzZ1Fff/wH7D/Ca
  R0bEhRFxSUSMXMm5pLXO0KX1RkTsDnwMeE3TEnMIMJfSovAu4G1NK8OJwBMRMQb4KXAm8CLgDODf
  mvV9/jfwQWArYD4lFD0N7Ez5YH5rsx3gb4ErM3MbYDzw/AdfRIwFdsjMW5tVSWnB+F/NB8s2wP7A
  Zat4mQn8PXBMEw4GYzLwfeAS4JCI2H6Qz1sT72vO+RNg14jo33q2lBJWvhgRIwZ5zDUJZavz3JcD
  d2fm4y3rbm3W923v+z2SmXdTrondV7dQmbkA+C3wpmbVWyi/p/4uBvbrF1z2BXYFjqdcw/8HeDPw
  CuDYiHjTCkdZ5mhgn+bnqGi6sNs4BzipeT+9ArimZdtYyvtiR8p74J8iYutm27SmbK9s/h0HfKHN
  8WcAh/YF1ijdv38BXNBsn04J5+3eb+28G/hryvv51pbjAFzflGcMcCFwSazYtbsp5X35JHBsZj67
  knNJa52hS+uT54CNgVdExMjMnJ+Z/wN8APg/mXkXQGbelpkPUbr7ZmfmhZm5NDNnAHcAR7Qc8/zM
  vCMzl1K6mg4FPp2ZT2XmA5QPu+OafZcAkyJiXGY+k5n/1XKcw4Ar+pX3KeDy5vnvapafXtWLzMz7
  KN1bqxw03HybH0dpmZkD/J7ywdTqs03ryEPNv+et6rirOOdEoBu4JDMfpbzuyW1ex0+B+xn4Q7Sv
  XA9GxIO0BJ1BWJPnbgks7rfuEUrAGMz21XUv5doC2A74Y5t9/kj5/7hvvwT+prnOfgY8BlyQmX/K
  zHuBX1JCykC+nJmLm+7gMynBrZ1ngJdHxFbN/rf02/a3mflcZv5HU4Y9mm0nUd4ni5vw+uV258jM
  +cBNwJ83qw4CHs/MG6KMBWz3fhuorAD/1rRALqGE0D/ra9Vu3ucPN+/1M4BNWsoLsDXlWp2TmR9I
  //CwhoChS+uNzPwD8ClKF819TRfBi4EJwAqDpSnf0Of1WzePElL6tN5lNQkYBfyxL6RQwk9fy9Fn
  Ke+Z6yPitog4oeW5h7H8eK6+lpfvUQLJeyndf4M1jdJq9cpV7DcZuCozH2seX8LyXZoAX83MbTNz
  TPPvCayZ9wK3NyEP4FLgPQO0aH2e8uG4aZttfeXaNjO3pbRSDNaaPPcxYHS/dVsDjw5y++oax7Kx
  fA9Qxnv192JK6+BDLevua1l+ss3jLVdyzntaludR3gvtHEP5cjKv6a57Q8u2PzVfRvo8AWzZtKRu
  DtzYEnr/g9L61M5FLAtSx1NaoQAm0v79tt1KXtfz79cm7D3Y99oi4jNRbop4qDnW6H7HegOwF003
  rjQUDF1ar2TmjMx8E+U/bCj/gc4Hdmmz+72UwcqtJgILWw/ZsryA0jr1opaQsk1mvrI5932ZeXJm
  jgM+DJwdETs340IOoIyr6l/eX1I+UHfIzF+txut8kPKt/28ZYHB501VyLPDmZlzNHyldra+KiL0G
  e64X4L3Abi3n7Ou+Paz/jpl5NXAX8FGGz91jvwd27jdG61XN+r7tr+rbEGXw+yhg9uqeKCImAK8B
  /rNZdTWle62/dwH/nZlPre45BjChZXki5b2wgsy8MTOPpnyxuIzSzbkqD1AC2Mtbgu82Tdd+O5cA
  3U2L1J+zLHSt9P22qtcVEVtSWgbvbVp8Pwu8sznOGErrZGu385XAl4BrImKHQbxOaa0zdGm9ERG7
  Rxk4vzGl6+NJSpfjOcDfRcSuzX57NeO2/p0SDo6LMmXBu4A9KeOQVpCZi4CrgDMiYqsodo6I/9Uc
  9519XRmUAe9Lm5/9gVtbWpv6eztwVOtLGeRLPgN4Y1Pmdv4ceLbZ/qrmZ0/K3XErdPe9QMuVNcqN
  CDsDr2s558sprRkDnfPzwOdeyPlW0/PPbX53m1C6ozeKiE2imU6jaaG7hTLebJOIeAdlPNMPmqdf
  ABwREfs1wexvgB/0GwO28oJEbBYRB1DGD/266Z6DMh7pjc2A8TERsWVEfIIytrC1jtb0poPPRsQ2
  Teg7hTK2qn8ZR0WZGmN0Zj5Hacl7rv9+/TXdct8BzuwbPxgR4yLi4AH2fwD4BXAeZSzdnc36lb7f
  BnBYlJtjNqZ8IfnvzFxI6fpdAvwpyiD/L9CmOzgzv0YJfT+P5m5VqSZDl9Ynm1DGjtxP+ea+PXA6
  JZx8n3Lb/WJKCNusaS16O2XagAeafw9vxntB+5aXyZQP6pmUrotLKAOKoQSN30TEI5QP009m5lxW
  nCpiuWNn5qzMnNVu2wBl6Hveo8BXWDbOp11Zv5uZC5tWuPua8WDfpHT39b2/PxfLz9N13wDHa1uM
  Nuf8cWbO7HfOs4C3R5v5rJqxb9ev7LWu5Hyrs0/r+v9FCeU/pbSOPEFp6ehzHOX3+RDNjQuZ+aem
  vDMpLZkXAouAzSg3cAzGN5trcBHwj5Tr5/lpQ5pxh/sDr6bcBHIvJTwfnJm/XslrXNXj/i6jTIlx
  E+VLxnfh+XnYHmnZ773A/0TEw8DJrDgecKBzTqG0YP66ee5VrPxGgwsp47ku6Ld+wPdbm7Jmc5yp
  lClJ9mbZdCVXNj+zKXesPsHyQweWHSTz7yjv35+1u16ldSkGM5YwIk6nXNzPAbcBJwBbUD7oJlH+
  8zg2Mxe37H8i5Vv4KZl51boovDQcRMTvKR/adwx1WaSIWArs2tx1KWkYWWVLV5SJF08C9m762kdS
  BkNOAa7OzD0otxmf3uz/Mso4kz0p3/DOjljjSSelYanpsppu4JIkrcpguhcfoYyf2aIZMLwZZSDy
  USyb6HE6ZV4YKJMBzsjMZ5uulzmU+WakDU5mLsnMASefHK6asTyPtnQ79nU93jbUZQOIiNvblO2R
  iFjZdAI1ytWuzh6JiP2Gslz9DJcbFiT1s8rZeDPzoYj4OuUOsScot6dfHRFdmdnb7LOo5W6QccB/
  txxiIcvfoi9piGXmhSy7i2zYycxXDHUZ2snMFzpXVzWZOdjJaCVVNpjuxZ2BT1PGbu1IafF6D6s/
  sFOSJKljDebvTr0W+FVzJxgR8SPKbey9fa1dUf4ESt8dUQtZfo6Y8Sw/LxLNcQxpkiRpvZGZazRG
  fTBjuu4E3hARmzYD4g+i3N57Ocv+0O37WPY35S4HjmvmSnkJ5e9yXd/uwJnpT7+fL37xi0NehuH4
  Y71YL9aJ9WK9WC9D+bM2DGZM160R8X8pc748B9wMfJsy8dzFUf6Q6jzKHYtk5syIuJgSzJYAH821
  VVpJkqT11GC6F8nMrwJf7bf6QeAtA+z/JcqfW5AkSRLOSD/sdHd3D3URhiXrpT3rZUXWSXvWS3vW
  S3vWy7oxqBnp18mJI+x1lCRJ64WIICsMpJckSdIaMnRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOX
  JElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkV
  GLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0
  SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKhg51AVoZ+zYnejtnTfUxRh2uromsWjR3KEu
  hiR1hIkTx7JgQe9QF2PYmTChi/nzFw11MdZLkZlDc+KIHOjcEQEMTbmGt2Cofl+S1GkigmuvHepS
  DD8HHkhHfhZFBJkZa3KMVXYvRsTuEXFzRNzU/Ls4Ij4ZEWMi4qqIuDMiroyIrVuec3pEzImIWRFx
  8JoUUJIkaUOwytCVmbMzc+/M3Ad4DfA48CNgCnB1Zu4BXAOcDhARLwOOBfYEDgXOjtJ0JUmS1LFW
  dyD9W4A/ZOYC4ChgerN+OnB0s3wkMCMzn83MucAcYN+1UFZJkqT11uqGrncBFzbLXZnZC5CZi4Ad
  mvXjgAUtz1nYrJMkSepYgw5dETGK0op1SbOq/yi6zhtVJ0mSNEirM2XEocCNmflA87g3Iroyszci
  xgL3NesXAhNanje+WbeCqVOnPr/c3d1Nd3f3ahRHkiRp3ejp6aGnp2etHnPQU0ZExEXAFZk5vXk8
  DXgwM6dFxGnAmMyc0gykvwB4PaVb8WfAbv3nh3DKiBfCKSMkqRanjGjPKSNeuEG1dEXE5pRB9Ce3
  rJ4GXBwRJwLzKHcskpkzI+JiYCawBPjogOlKkiSpQzg56nrFli5JqsWWrvZs6Xrh/NuLkiRJFRi6
  JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmS
  JFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmq
  wNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGh
  S5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ck
  SVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKk
  CgxdkiRJFRi6JEmSKjB0SZIkVTByqAuwMoccAmeeCRttBOeeC1/5yvLbTz0V3vMeyIRRo2DPPWG7
  7WDxYhg9Gs45B17xCli6FE48Ea6/Hr7wBTjpJLjvvnKMv/oruPLK+q9NkjSwK+66gk9d8SmW5lI+
  sPcHOG3/05bb/rX/+hoX3HYBQbBk6RJm3T+LBz73ANtsug1f+uWX+Nfb/pURMYK9uvbivKPOY+MR
  G/OFa7/AZXdeRhBst/l2nH/0+YwfPX6l5bj+evjmN8vnzGGHwfHHL7998WL4h3+AP/2pfNYceyy8
  7W3wzDNwyinw7LOwZAnst1/57AGYPh1++lMYM6Y8/uAHYd9911bNaTiLzByaE0fkQOeOCCKS2bPh
  oIPg3nvhhhvguOPgzjvbH+/ww+FTn4K3vrU8Pu88+MUv4PzzYcQI2HxzePTREroefRTOOGPdvK51
  Kxiq35ck1bI0l7L7N3bn55N/zo5b7cjrvvM6ZrxzBi/d7qVt9//p7J9y5q/P5OrJVzPv4XkcOP1A
  7vj4HWw8YmPedem7OHy3w5n8qsk89sxjbLnxlgB84zff4NbeWznnyHMGLEdEsOOO8PWvly/0H/5w
  +QyZOHHZPtOnl4B10kklgE2eDD/8Yfnceeop2HRTeO45+MQn4CMfgb32Ks/ZbLMS0NZHBx5IR34W
  RQSZGWtyjGHbvbjvvjBnDsyfX74pzJgBRx018P7HHw8XXVSWt9oK3vSmErigXPCPPrps31ijKpMk
  rUvXL7ye3V60G5O2mcSoEaM47hXHcdkdlw24/0W3X8TxryhNUKM3Gc3GIzbm8Wce59mlz/LEkifY
  casdAZ4PXACPL3mc7TbfbpVlGT8exo6FkSPhzW+GX/1q+e1jxsATT5TlJ54ovSwjRpTHm25a/l2y
  pLSUbbXVICtAG6xhG7rGjYMFC5Y9vueesq6dTTctzbk/+EF5/JKXwAMPwHe/CzfeCN/61rKLH+Dj
  H4ebb4bvfKe8QSRJw8fCRxYyYfSE5x+PHz2ehY8ubLvvk0ue5Iq7ruCYlx0DwJjNxnDqn53KxDMn
  Mu4fx7HNptvwlp3f8vz+n7/m80w8YyLn33I+p+9/+irLsv32yy/ff//y29/+dpg7F975ztJN+PGP
  L9u2dGlpATvmGHjVq2CnnZZt+9GPyv5f/So89tgqi6ENxLANXavjiCPguutK0y6UbyT77AP/9E/w
  mteUbx9TppRtZ58NO+8Me+8NixbBP/7j0JVbkrRmfjL7J+w/cX+22XQbAO5+6G7O+PUZzPvUPO79
  y3t57JnHuPC2C5/f/+/e/HfM//R8Tnj1CXzqyk+t8fkvvBB22QUuvRS+/W046yx48smybaONypf7
  iy+G3/0ObrmlrD/qqPK8c86Bbbctn0vqDMM2dC1cuHy/+fjxZV07xx23rGsRSqvYggWllQvKm2Gf
  fcryAw8s2+8734HXvW7tlluStGbGjR7H/MXzn398zyP3MG6r9l0dM26f8XzXIsBv7/0t+03Yj203
  25YRG43gHS99B/+14L9WeN6793o3v733t6ssS99NV1BauVpbvgBuvx0OOKAp97jSFTl//vL7bLEF
  vOENMHt2ebzNNsuGuRx++MBjlbXhGbah64YbYNddS/AaNaoEq8svX3G/0aPLBX9ZS3f/ffeV0LXb
  buXxQQfBzJlluatr2X7veEd5w0iSho/X7fg67nrwLuY9PI9nnnuGGbfP4Mg9jlxhv8VPLeYX837B
  UXssG/C7x4v24NcLf81Tzz5FZvLz//k5e263JwB3PXjX8/v9+I4f8+qxr15lWRYuLL0iS5bANdfA
  G9+4/PaJE+Gmm8rygw+WL/0vfnHpeenrNnz66dIIsMsuy/br88tfLt/tqA3bsLx7cezYnejtncch
  hxzCWWedxUYbbcS5557LtGnTOPnkk8lMvvOd7wAwefJkDjnkEN7znvcsd4xXvvKVnHPOOYwaNYq7
  776bE044gUceeYTp06fz6le/mqVLlzJ37lw+9KEPcV/rV5lhrKtrEosWzR3qYkjSOnfFXVdwyhWn
  PD9lxJT9p/Ct336LiODk15wMwPRbpnPlH67kwmMuXO65X/3VVzn/1vMZESPY+8V7c84R5zBqxCje
  efE7mf2n2YzYaAQ7j9mZfz78n9lhix0GLMPEiWNZsKB3nb7O9dGECV3Mn79oqItR3dq4e3FYhi5J
  kqThZIOeMkKSJGlDMqjQFRFbR8QlETErIn4fEa+PiDERcVVE3BkRV0bE1i37nx4Rc5r9D153xZck
  SVo/DLal6yzg3zNzT+BVwB3AFODqzNwDuAY4HSAiXgYcC+wJHAqcHeF0pJIkqbOtMnRFxGjgTZl5
  HkBmPpuZi4GjgOnNbtOBo5vlI4EZzX5zgTmAf1VKkiR1tMG0dL0EeCAizouImyLi2xGxOdCVmb0A
  mbkI6LsFZBzQMpc8C5t1kiRJHWvkIPfZB/hYZv42Is6gdC32v/VwtW9FnDp16vPL3d3ddHd3r+4h
  JEmS1rqenh56enrW6jFXOWVERHQB/52ZOzeP96eErl2A7szsjYixwLWZuWdETAEyM6c1+18BfDEz
  f9PvuE4ZIUmS1gtVpoxouhAXRMTuzaqDgN8DlwPvb9a9D+ibE/5y4LiI2DgiXgLsCly/JoWUJEla
  3w2mexHgk8AFETEKuBs4ARgBXBwRJwLzKHcskpkzI+JiYCawBPioTVqSJKnTOSO9JEnSKjgjvSRJ
  0nrC0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJD
  lyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5J
  kqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJ
  FRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiS
  JEmqwNAlSZJUwcihLkA7Y8fuRG/vvKEuxrDT1TWJRYvmDnUxhp2x48fSu7B3qIsx7HSN62LRPYuG
  uhjDitdKe14r7U2cOJYFC7xe+pswoYv5871eXojIzKE5cUQOdO6IAIamXMNbMFS/r+EsImDqUJdi
  GJqK10s/XisDmOq10k5EcO21Q12K4efAAzvzeokIMjPW5BiD6l6MiLkRcWtE3BwR1zfrxkTEVRFx
  Z0RcGRFbt+x/ekTMiYhZEXHwmhRQkiRpQzDYMV1Lge7M3Dsz923WTQGuzsw9gGuA0wEi4mXAscCe
  wKHA2VGariRJkjrWYENXtNn3KGB6szwdOLpZPhKYkZnPZuZcYA6wL5IkSR1ssKErgZ9FxA0R8cFm
  XVdm9gJk5iJgh2b9OGBBy3MXNuskSZI61mDvXtwvM/8YEdsDV0XEnaw40r3zRtVJkiQN0qBCV2b+
  sfn3/oj4MaW7sDciujKzNyLGAvc1uy8EJrQ8fXyzbgVTp059frm7u5vu7u7VLb8kSdJa19PTQ09P
  z1o95iqnjIiIzYGNMvOxiNgCuAr4a+Ag4MHMnBYRpwFjMnNKM5D+AuD1lG7FnwG79Z8fwikjXgin
  jGjHaQAGMLUzb+teGa+VAUz1WmnHKSPac8qIF24wLV1dwI8iIpv9L8jMqyLit8DFEXEiMI9yxyKZ
  OTMiLgZmAkuAjw6YriRJkjrEKkNXZv4P8Oo26x8E3jLAc74EfGmNSydJkrSB8G8vSpIkVWDokiRJ
  qsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSB
  oUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOX
  JElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkV
  GLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0
  SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklTByKEuQDtdXZPo7Y2hLsaw09U1aaiLMCx1jeuid2rvUBdj2Oka1zXURRh2vFba81pp
  b8KELg480OulvwkTvF5eqMjMoTlxRA7VuSVJklZHRJCZa9QiNOjuxYjYKCJuiojLm8djIuKqiLgz
  Iq6MiK1b9j09IuZExKyIOHhNCihJkrQhWJ0xXacAM1seTwGuzsw9gGuA0wEi4mXAscCewKHA2RFh
  X6EkSepogwpdETEeOAw4p2X1UcD0Znk6cHSzfCQwIzOfzcy5wBxg37VSWkmSpPXUYFu6zgA+C7QO
  wurKzF6AzFwE7NCsHwcsaNlvYbNOkiSpY60ydEXE4UBvZt4CrKyb0FHxkiRJAxjMlBH7AUdGxGHA
  ZsBWEfE9YFFEdGVmb0SMBe5r9l8ITGh5/vhm3QqmTp36/HJ3dzfd3d2r/QIkSZLWtp6eHnp6etbq
  MVdryoizF0XFAAAZAUlEQVSIOAA4NTOPjIivAH/KzGkRcRowJjOnNAPpLwBeT+lW/BmwW//5IZwy
  QpIkrS/WxpQRazI56peBiyPiRGAe5Y5FMnNmRFxMudNxCfBR05UkSep0To4qSZK0ClUnR5UkSdIL
  Z+iSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQ
  JUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuS
  JKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElS
  BYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoM
  XZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLok
  SZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIk
  VWDokiRJqsDQJUmSVMHIoS5AO2PH7kRv77yhLsaw09U1iUWL5g51MYadncaOZV5v71AXY9iZ1NXF
  3EWLhroYw4rXSnteK+1NnDiWBQu8XvqbMKGL+fO9Xl6IyMyhOXFEDnTuiACGplzDWzBUv6/hLCK8
  WtoI8Hrpx2ulPa+V9iKCa68d6lIMPwce2JnXS0SQmbEmx1hl92JEbBIRv4mImyPi9xHxD836MRFx
  VUTcGRFXRsTWLc85PSLmRMSsiDh4TQooSZK0IVhl6MrMp4EDM3Nv4JXAmyNiP2AKcHVm7gFcA5wO
  EBEvA44F9gQOBc6O0nQlSZLUsQY1kD4zn2gWN2me8xBwFDC9WT8dOLpZPhKYkZnPZuZcYA6w79oq
  sCRJ0vpoUKErIjaKiJuBRUBPZs4EujKzFyAzFwE7NLuPAxa0PH1hs06SJKljDeruxcxcCuwdEaOB
  KyOimxVHunfeqDpJkqRBWq0pIzLzkYj4d+C1QG9EdGVmb0SMBe5rdlsITGh52vhm3QqmTp36/HJ3
  dzfd3d2rUxxJkqR1oqenh56enrV6zFVOGRER2wFLMnNxRGwGXAn8NXAw8GBmTouI04AxmTmlGUh/
  AfB6Srfiz4Dd+s8P4ZQRL4RTRrTjNADtOQ3AirxW2vNaac8pI9pzyogXbjAtXS8Gpjd3IG4EfC8z
  f96M8bo4Ik4E5lHuWCQzZ0bExcBMYAnw0QHTlSRJUodwctT1ii1d7dh60Z6tFyvyWmnPa6U9W7ra
  s6XrhfNvL0qSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJ
  kiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJ
  qsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSB
  oUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOX
  JElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklTBsA5dhxwCs2bBnXfC5z634vZTT4WbboIb
  b4Tf/Q6WLIGtty7bpkyB22+HW2+Ff/1XGDWqrN9rL/jVr+CWW+DHP4Yttqj3erTuXAG8FNgdmNZm
  +9eAvYF9gL2AkcDDwOyW9XsDWwP/f/OcS4FXACOAm9Zh2SUNX9dfD5Mnw3vfCxddtOL2xYvhtNPg
  gx+EE0+EK65Ytu2xx2DqVHjf++D974eZM8v66dPhL/4CTj65/Fx/fY1XouEgMnNoThyRA507IohI
  Zs+Ggw6Ce++FG26A444rAaydww+HT30K3vpWmDgRrr0WXvrSEsRmzIB/+zf43vfgN7+Bv/zLErze
  9z7YeWf44hfX4Qtdq4Kh+n0NZxHBLsDPgR2B1wEzKCGsnZ8CZwJX91u/FBgPXN/8eyflW8mHKKFt
  n7Ve8nUrwOuln4jAGlmR10p7EcGOO8LXvw7bbQcf/jB84QvlM6bP9OnwzDNw0kklgE2eDD/8IYwY
  AV/+MrzqVXDoofDcc/DUU+WL/vTpsNlmcOyxQ/fa1sSBB3bm9RIRZGasyTGGbUvXvvvCnDkwfz48
  +2wJTkcdNfD+xx+/7FvII4+UN8EWW5QLf/PNYeHCsm333UvgArj6ajjmmHX7OlTHbsAkYBRwHHDZ
  Sva9CDi+zfqrgV0ogQtgj+a4nfdfi6Q+48fD2LEwciS8+c3LPj/6jBkDTzxRlp94AkaPLp87jz8O
  t91WAheUdfasaNiGrnHjYMGCZY/vuaesa2fTTeFtb4Mf/KA8fvjh8s1k/vwSth5+GK65pmy7/XY4
  4oiyfOyx5Q2l9d+EluXxwMIB9nuS0hXZLmt/n/ZhTFLn2n775Zfvv3/57W9/O8ydC+98Z+li/PjH
  y/o//rEEsGnTShfi174GTz+97Hk/+lHZ/6tfLd2Q6gzDNnStjiOOgOuuK027AC95CXz60zBpEuy4
  I2y5ZWkJA/jAB+BjHyt96FtsUVrE1Dl+AuwPbNNv/RLgcuAvqpdI0vrswgthl13g0kvh29+Gs86C
  J58s3Ylz5sDRR5f1m25a9oXSa3PhhXDOObDttnD22UP7GlTPsA1dCxcu328+fvyyLsL+jjtu+QGO
  r31taQJ+6CFYurT0r7/xjWXb7NmlVWzffUuX5R/+sO5eg+qZ37J8DzBAoygzaN+a9R/Aa4Dt22yT
  1Lnuu2/Z8v33L9/yBaX35IADyvK4caUrcv78st8OO8Aee5RtBxxQQhjANttANCODDj984LHK2vAM
  29B1ww2w664leI0aVYLV5ZevuN/o0eVivqxlEM+dd8Ib3gCbbFIeH3RQuQsSymBIKBf85z8P//Iv
  6/Z1qI67gHnAM5RgdWSbfRYDvwDaDQ0caJxXH8d1SZ1p4UJYtKjclHXNNcu+wPeZOLHcRQ/w4INl
  KMyLX1xasLbfftkwmZtuKr0vffv1+eUvYaed1vnL0HCRmUPyU07dXlfXpATykEMOyTvuuCNnz56d
  p512WgJ58skn50knnZSUz8GcPHlyXnDBBc8/7vv5zGc+k7fffnveeuutef755+fIkSMTyE984hN5
  xx135KxZs/Lv//7vV3jecP7p6po0YJ11skldXUP+uxmOP5O6uob6VzPseK14rayOCRO8Xtr9TJjQ
  mdcLkLmG2WdYThkhSZI0nGzQU0ZIkiRtSFYZuiJifERcExG/j4jbIuKTzfoxEXFVRNwZEVdGxNYt
  zzk9IuZExKyIOHhdvgBJkqT1wSq7FyNiLDA2M2+JiC2BGyljkU8A/pSZX4mI04AxmTklIl4GXECZ
  GHw8Zc7J3fr3Jdq9KEmS1hdVuhczc1Fm3tIsPwbMooSpo4DpzW7TgaOb5SOBGZn5bGbOBeYA+65J
  ISVJktZ3qzWmKyJ2Al4N/BroysxeKMEM2KHZbRzQMpc8Cxl42iRJkqSOMHKwOzZdi5cCp2TmYxHR
  v29wtfsKp06d+vxyd3c33d3dq3sISZKkta6np4eenp61esxBTRkRESOBnwL/kZlnNetmAd2Z2duM
  +7o2M/eMiCmUuSymNftdAXwxM3/T75iO6ZIkSeuFmlNGfBeY2Re4GpcD72+W3wdc1rL+uIjYOCJe
  AuwKXL8mhZQkSVrfDebuxf2A/wRuY9mMtH9FCVIXAxMof4Hl2Mx8uHnO6cAHKH9H+JTMvKrNcW3p
  kiRJ64W10dLljPSSJEmr4Iz0kiRJ6wlDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJD
  lyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5J
  kqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJ
  FRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFI4e6AO2MHbsTvb3zhroYw05X1yQWLZo71MWQ
  pI4wceJYFizoHepiDDsTJnQxf/6ioS7Geikyc2hOHJEDnTsigKEp1/AWDNXvS5I6TURw7bVDXYrh
  58AD6cjPooggM2NNjrHK7sWIODcieiPidy3rxkTEVRFxZ0RcGRFbt2w7PSLmRMSsiDh4TQonSZK0
  oRjMmK7zgEP6rZsCXJ2ZewDXAKcDRMTLgGOBPYFDgbOjNFtJkiR1tFWGrsy8Dnio3+qjgOnN8nTg
  6Gb5SGBGZj6bmXOBOcC+a6eokiRJ668XevfiDpnZC5CZi4AdmvXjgAUt+y1s1kmSJHW0tTVlROeN
  qJMkSVoNL3TKiN6I6MrM3ogYC9zXrF8ITGjZb3yzrq2pU6c+v9zd3U13d/cLLI4kSdLa09PTQ09P
  z1o95qCmjIiInYCfZOZezeNpwIOZOS0iTgPGZOaUZiD9BcDrKd2KPwN2azc3hFNGvBBOGSFJtThl
  RHtOGfHCrbKlKyIuBLqBF0XEfOCLwJeBSyLiRGAe5Y5FMnNmRFwMzASWAB8dMFlJkiR1ECdHXa/Y
  0iVJtdjS1Z4tXS+cf3tRkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQ
  JUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuS
  JKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElS
  BYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoM
  XZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLok
  SZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCoZ16DrkEJg1C+68Ez73uRW3
  n3oq3HQT3Hgj/O53sGQJbL017LbbsvU33QQPPwyf+ER5zjHHwG23wbPPwt571309kqT1y/XXw+TJ
  8N73wkUXrbh98WI47TT44AfhxBPhiivK+meegY98BE46Cd7/fvjOd5Y95447lm37yEfKZ5w6Q2Tm
  0Jw4Igc6d0QQkcyeDQcdBPfeCzfcAMcdN/DFefjh8KlPwVvf2v9YcM89sO++sHAh7L47LF0K3/oW
  fOYzcPPNa/mFrVPBUP2+JKnTRAQ77ghf/zpstx18+MPwhS/AxInL9pk+vQSsk04qAWzyZPjhD2HE
  CHjqKdh0U3juufLF/yMfgb32gk9/Gt79bnjd6+A3v4EZM+CMM4buda6uAw+kIz+LIoLMjDU5xrBt
  6dp3X5gzB+bPL61SM2bAUUcNvP/xx7f/FvKWt8Af/lACF8Ds2XDXXSWMSZK0MuPHw9ixMHIkvPnN
  8KtfLb99zBh44omy/MQTMHp0CVxQAheUXphM2Gqr8njbbeHxx8vyY4+VQKfOMHKoCzCQceNgwYJl
  j/taq9rZdFN429vgYx9bcdu73tU+jEmStCrbb7/88qxZy29/+9vLUJd3vhOefLK0hPVZuhQ+9KHS
  W3PEEbDTTmX9ySeXlq9//ucSxr75zXX+MjRMDNuWrtVxxBFw3XWlabfVyJFw5JFwySVDUy5J0obt
  wgthl13g0kvh29+Gs84q4Qtgo43KWK6LLy7jjm+5paz/6lfhk5+E73+/NBZ85StDV37VNWxD18KF
  y/ebjx+/rIuwv+OOa9+adeihZTD9Aw+smzJKkjZs9923bPn++5dv+QK4/XY44ICyPG5c6YqcP3/5
  fbbYAt7whjK8BUpr2f77l+UDDigD69UZhm3ouuEG2HXXErxGjSrB6vLLV9xv9Ohy0V522YrbBhrn
  1cdxXZKklVm4EBYtKuOyrrkG3vjG5bdPnFjukgd48MEyFObFLy49L489VtY//XRpANh11/J43Lhl
  rV433lgaFdQZhu2YrqVL4eMfh6uuKk20555bvg2cfHLpA++7/fboo+HKK8tdIq0226wMoj/55OXX
  H3UUfOMbZeDiT39aLvzDDqvzmiRJ65dTTilTFi1dWj4rJk0qDQARZWjLe94D06bBBz5Q9v/Qh0pj
  wN13w5e/XD6vli6Fgw+GffYp+5x6Kpx5ZrlJbOONy2N1hmE5ZcTYsTvR2zuvcomGv66uSSxaNHeo
  iyFJHWHixLEsWNA71MUYdiZM6GL+/EVDXYzq1saUEcMydEmSJA0nw3qeroh4W0TcERGzI+K0dXUe
  SZKk9cE6CV0RsRHwTeAQ4OXA8RHx0nVxrg1NT0/PUBdhWLJe2rNeVmSdtGe9tGe9tGe9rBvrqqVr
  X2BOZs7LzCXADGAl88mrjxd6e9ZLe9bLiqyT9qyX9qyX9qyXdWNdha5xQMt88tzTrJMkSepIw3ae
  LkmSpA3JOrl7MSLeAEzNzLc1j6cAmZnTWvbx1kVJkrTeGJZTRkTECOBO4CDgj8D1wPGZOWulT5Qk
  SdpArZMZ6TPzuYj4OHAVpQvzXAOXJEnqZEM2OaokSVInGZKB9J08cWpEnBsRvRHxu5Z1YyLiqoi4
  MyKujIitW7adHhFzImJWRBw8NKVetyJifERcExG/j4jbIuKTzfpOr5dNIuI3EXFzUzf/0Kzv6HqB
  MhdgRNwUEZc3j62TiLkRcWtzvVzfrLNeIraOiEua1/n7iHh9p9dLROzeXCc3Nf8ujohPWi9xenON
  /C4iLoiIjdd6nWRm1R9K0LsLmASMAm4BXlq7HEP1A+wPvBr4Xcu6acDnmuXTgC83yy8DbqZ0A+/U
  1FsM9WtYB3UyFnh1s7wlZTzgSzu9XprXunnz7wjg18B+1ksCfBr4V+Dy5rF1AncDY/qts17gfOCE
  ZnkksLX1slz9bATcC0zo5HqhZJK7gY2bx98H3re262QoWro6euLUzLwOeKjf6qOA6c3ydODoZvlI
  YEZmPpuZc4E5lPrboGTmosy8pVl+DJgFjKfD6wUgM59oFjeh/Of4EB1eLxExHjgMOKdldUfXSSNY
  sfeio+slIkYDb8rM8wCa17uYDq+Xft4C/CEzF9DZ9fII8AywRUSMBDYDFrKW62QoQpcTp65oh8zs
  hRJAgB2a9f3raiEbeF1FxE6UlsBfA12dXi9NN9rNwCKgJzNnYr2cAXwWaB2Q2ul1AqU+fhYRN0TE
  B5t1nV4vLwEeiIjzmq60b0fE5lgvrd4FXNgsd2y9ZOZDwNeB+ZTXtzgzr2Yt14mTow5PHXl3Q0Rs
  CVwKnNK0ePWvh46rl8xcmpl7U1r+3hQR3XRwvUTE4UBv0zK6svlyOqZOWuyXmftQWgE/FhFvooOv
  lcZIYB/gn5q6eRyYgvUCQESMorTYXNKs6th6iYidKcMWJgE7Ulq83sNarpOhCF0LgYktj8c36zpZ
  b0R0AUTEWOC+Zv1CSj97nw22rprm3EuB72XmZc3qjq+XPpn5CPDvwGvp7HrZDzgyIu4GLgLeHBHf
  AxZ1cJ0AkJl/bP69H/gxpaujk68VKD0pCzLzt83jH1BCWKfXS59DgRsz84HmcSfXy2uBX2Xmg5n5
  HPAj4I2s5ToZitB1A7BrREyKiI2B44DLh6AcQylY/lv65cD7m+X3AZe1rD+uuYPiJcCulIlmN0Tf
  BWZm5lkt6zq6XiJiu747ZSJiM+CtlIGbHVsvmflXmTkxM3em/N9xTWa+F/gJHVonABGxedNSTERs
  ARwM3EYHXysATbfQgojYvVl1EPB7OrxeWhxP+fLSp5Pr5U7gDRGxaUQE5VqZydqukyG6S+BtzQuc
  A0wZijIM1Q+l7/xe4GlK3/EJwBjg6qZOrgK2adn/dMpdEbOAg4e6/OuoTvYDnqPcyXozcFNzjWzb
  4fWyV1MXNwO3Ap9p1nd0vbS81gNYdvdiR9cJZexS3/vntr7/Vzu9XprX+SrKl/1bgB9S7l60XmBz
  4H5gq5Z1HV0vlLGivwd+Rxk0P2pt14mTo0qSJFXgQHpJkqQKDF2SJEkVGLqk/9duHQsAAAAADPK3
  nsWuoggABtIFADCQLgCAgXQBAAykCwBgIF0AAIMAcRj+Ylfz11QAAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795eee7510>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "scores/DECODA_MINIAE_TANH_TFIDF_H30_DO.shelve
  "
       ]
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd4VEXbwOHfhISe0HtJEAQEBKRJ+yQgCq9IUVBQASui
  vnZQsAdFBRQBxQK+ioAIAjZQFKSEXiJNOqEFEiAQSO/Zfb4/JqSRQIQ1YeG5r2uv3XPO7JzZ2d3n
  zJmdOWtEBKWUUu7Jo7ALoJRS6tJpEFdKKTemQVwppdyYBnGllHJjGsSVUsqNaRBXSik3lq8gbozp
  bozZa4zZb4wZkcv2ssaYH40x240xG4wxjVxfVKWUUjldNIgbYzyAyUA3oDFwnzGmYY5krwJbRaQZ
  8CDwsasLqpRS6nz5aYm3AYJFJEREUoE5QO8caRoBywFEZB/gZ4yp5NKSKqWUOk9+gngN4FiW5dD0
  dVltB+4GMMa0AWoDNV1RQKWUUnlz1Q+bY4ByxpgtwH+BrYDDRXkrpZTKg2c+0oRhW9bn1Exfl0FE
  YoFHzi0bYw4Dh3JmZIzRC7UopdQlEBGT2/r8tMSDgHrGGF9jTFFgALAgawJjTBljjFf64yHAShGJ
  y6MgehPhrbfeKvQyXCk3rQutC62PC98u5KItcRFxGGOeBpakB/2vRGSPMWao3SxTgRuA6cYYJ7AL
  ePRi+SqllLp8+elOQUT+ABrkWDcly+MNObcrpZT69+mMzULi7+9f2EW4YmhdZNK6yE7r4+LMxfpb
  XLozY6Qg96eUUlcDYwxyGT9sKqWUukJpEFdKKTemQVwppdyYBnGllHJj+Rpi6A6cTvDwyHs5JSVz
  nQgUK2bXi4DJ9eeCzHyMuXAapZQqLFdNS7xIEfj1V/tYxC6vX5+5vVs38POD228HX19ITLTre/SA
  lSvzzrdWLRg16l8rtlJKXZarJogDfPghREbCpk12+eBBCAqyQX3vXggPh7VroXZtWLAAjh2zgX7P
  Hjh5ElJT7fO2bbPLAMePw5gxl1cuEYiIuLw8lFIqN1dFED8XfCMiYPTozBb5669DmzYwc6YN7rfe
  CjVqwCOPwLRpNphHRcGRI3bbokVw6hTcdBM884zNo3p1SE6GmJhLL9+cOdCype2aUUopV3LbPvHU
  1Mzuktq1oWpVeOstmD3bbmvUCHbvho4d4d13oWZNG5xLlYJ69WDNGvtcY+Cnn2D/fjh0CEqWhBIl
  4PBhWLbMBv9GjWDHDujQwT4nJsamjYiAypWhShV7y82uXfDRR7Zlv3KlPYh4eNjljh1tmpQUmDXL
  luWBB8DLy55FLFsGDz6Y2X/vdEJgIHTp8q9Vq1LKzbhtEF+1Cu67z3ZVvPKKDaJ+fhASYlvT/frZ
  IP7CCzB4MNx8MwwaBKdP26AfH2+D891329Z7lSr2uQ4H9OplA3vXrjbot28P27dnBvEJE+Djj+Hs
  WbvcpIkN8rkZP94G7YAAmD7d5r9lC8TF2f2Bbal/+KEN0sWK2dc1cSJMngwNG8Itt9h0O3bYM4bw
  cHvwUEoptwnin38OAweCt7dd3r7dBmSAxYttS9zX1wZIb29o184GwkaNbED38ICmTW36pCR736MH
  DB1qg/iwYTbIGgPPPw+//GLTVK0KzZvbfMePhzp14Isvso9W2bnTBuKoKPtD6Jo1NvD6+tqA+8Yb
  0KqVDciVKsGBA/Z5kZFQrpzt7hk1yrbI337b9uOvWZN5YAHYvNnuA+DRR213UMWKdnnGDPvDbV5n
  A0qpq1gBXxNXLhWIvP9+5vLgwXbdudvgwSJOp33ctavIqlX2cUKCyNGjInv3Zs+vWjWRTz+1z1m6
  VCQoyKZ/6CGRyEiRBg3scvv2Inv2iBQrZpebNRMZPVpk504Rf3+77rPPREqUsI+LFhWpUcPe33OP
  SIsWIps22X3ecUf2MgcG2vXlyomcPi2SkiIybVpmvkOGiLz9tk3z3/+KGCPSu7dI9+4i775r18fE
  2LRTp15y1SqlrnDpsTP3uJrXhn/jdqlB3OGwJS1XzgbVZ58VadxYpFOnzIA3cuS5F2uD6sGDNlDn
  pUMHkd9/z1yOiLDPPXHCLv/nPyKdO9tALCJy8812uzEiu3fbdS+8IFKypD0QdO0qcsMNNvhPmybi
  6yvi42PLfPSoTf/99yJNmohUrGjL3by5SHBwZh7nLF4sUrOmyJQpIpUri3TpInL99ZkHsvXrRcqW
  tXXRpIld/+GHmc9/5x1bB599JrJunb0XEUlNta8ra9r8+PprkZUr/9lz1KXZsEFk0iSRLVtEJk50
  ff6hofZzm9WPP4r88MP5aX/+WWTOHNeX4d80f779nmX1wAOZ39n8GD3aNp6yNhov1b59Iu+9d+E0
  M2dmj0W5cfsgHhlpA+Jff4msXi1SqZJI9ep2fXS0yMaN9rGI/ZCmpKVKqiNVwsJE4lPic83z+HGR
  tLTs60JDMx+Hh4vExdkWsojImTMivXrZGotPz3LiRBu4z5UxJcUeDJxOe9+mjU2flGTTOBx2H6Gh
  Nr++fUUefFCkUaPs5XA6RY4dE/njD/v8m26y90WKiHz3nU2zfbvImjX2FhAg8swzmc/39bXpK1YU
  eeklewASEdm1y65v3jzfVS8iIj17Zrb8L0Ve74E63z33iJQpIzJmjEjTpq7Pf/Zs+xk4dChz3X33
  iQwYkLmckpYiyWnJ0rp9vDzxhOvL8G/q3//8z/e5M/X8iIgQ8fLKPFu+XOcabnlxOkXq1LGNygtx
  +yB+4IB9oeeMGCHy5pvZ05xJOCMnY0+KiMhTvz4lZd4vIw6nQ9r+r60EHg7MNd+oxKh/VI7nn7cH
  kHP+/NMG4rwMGWJb4nkJDLSB+T//yX17cLB9h7ZutS38Dh3sYxERh9MhiamJImJbUiBSvrzIwoUi
  xYvb+mrRwrbYS5a0B6xZs2yXTokStpU1dOj5+1y61B5YRESGDxepXDtKfH1tQKlYMTNd/QZO6dw9
  WqKTokVEZNXGaOnV6/z8dobvlIaTG563vls320rp21dkxw677rvv8m61PPaYPasQEfn1V/t6ly+3
  dZxXK2bNGpEnn8x9m4jI5s0i99+f9/atW+0BLKcjR2xdf/RR9vU9eoh4e2d2geXmu+/s5zc3Z8/a
  AN6qlch19dLEs2Ss/PKLbUm2a2e3f/21SMuWNv2rr9r3MausAToxNVEcTke2g+iIESLlqkVJsTJR
  4u1tGyKNGtn3tkoVkfHjRe4YFyB1XrpXeM5PunTJzLNTJ5GTJ0U6dhSJTooWZ9bTRxGZ9l20vPhi
  9vIkJtqzymefzbtOcuN02jPNqH/2FZUGDeznv337zHxAxMPDfla6dLGNKRF7wNywQeTuu+37NmyY
  Tdutm73388t7P4sXizz3nEiaI01ik2PzTPfZZzbvHFWVoXlz+z2tWMkpW3dHZ6w/954tXB4u3pXP
  uH8Q37jRfrDPcTqzV0qaI01qT6gtNcbXEKfTKZ2mdRICkN/2/yY+7/vIqMBREpMUk/GhO3DmgOw9
  vVe83/OWY9HHzvswnuNwOiQmKSZjeeJEkRbtoiXNkZZr+pw+/VSkwY2xkpSalHv+DttqvlCgcTrt
  AcrhcGZ7zdd/fL3cPvN2EbGn3pg06dRvt/j6OaVdO5v3lCn2HS5VyqZ5+WXb1dKggd2vl5c90zh2
  TCQmKVYSE0XuvNN+4NevF/EpmyYer5QVyu/PaJkcOOCUneG7hLqLpcgTraXSmGpyJPKIeL9eR6iw
  T7Zts2c5hw/b2/c75gkByPGIODl1Jlmi4hJk2zab14IF9oDyxRf2Nb34oj3bcTrtWU1WDRva1qmI
  yLhx9vlPPp0iRUpFyZ13ZqYLOxMlwQdTJTZW5JNPzm/NJiVldplNnGgPcufqNTnZ7vfkSXv/yCN2
  P9u2ZT4/JcWWG2yAP3HC5hkTYw+W69fbLrDTp+0Zm8Nh6yEiwp41tm5tv9T79tn1p0+LxMaKnDpl
  369+9zhk+GsxQrPpwuAu4ueX2SocN87mfe5r1LKlyOuvi+w5ECfBB1NlX0ikgMhrr4lExJ+RW7+5
  TQhACECiE2MlOVmk1b1/Ss33G0qND2vKF7+ukxo17Hvg5WU/F7f3ipIST/gLr5YUApDKvhGCZ6K0
  6bFbwCkvvJBengBk8sZPM+otLCZMirzmIyW8kyQ62gZvEXv2DPYgdE5EfETGZ/vIEVsP8TlO1o4d
  s8/bvDn7+uTk7I9TU0XCwuxyfLx9LSEhto5F7LYyZUT+/juzHpcts+UrVcq+xz4+IhMm2LNqPz/7
  nkVG2u1paZln0lmNfMUh1zeOkTk75kiv2b0yyuN0Zi/jO+/YfZ45k/358fH2PS9Txn6m+r64Uiq9
  0VwOHxZZveOwEICs3LVbSr5SR3ix+gWDuFtM9jlzBsqXz1zOei2T8LhwVh9dTdniZRGEg5EH2XJi
  CwGdAvhk0yfEJMew9thafMb48MLiF/hpz0/c8OkNtPuqHbEpsdSZVIeAwIBc9zt502RafdmKhNQE
  AKo23s+R21vz7O/PZuw7p9jkWFIddvZRp07geccwJmyYkGv+Hh52VMy58eK5MQY6T+/MxrANnE44
  hYhw4OwBgs8GE58SD0DdulD01vdY2aQRziYz6XJHFB4ecO+99jIDjz0GnTvbyUytWtkhlJUqO7nt
  zmh69k6j1k17qTimCj0HhXDkCDz3HAwYAD0GHsJZLAqazMkoz7Nzx3DTlObQbwDOKps5nXSCnSf3
  E1vkCB37bWfoE0K95uH4+0Pr1vDJtwcBaNl9F7Ve6kPtoc/xxBP2da1ZYy9/sH27zfvIEXt7/f1T
  PPRQZh2IwJFTEWzd7rD1Hg4tWsDUTdMo/0RfVq+26wBavjuQGx/9lIEDM/PLavBgqFbNjtPfvt2O
  KDp2zJbD19fWU40a9n7FCjuyadGizOcPHw6PPw7+/vDnnzavBx4AHx/7uG1bW+dNmtjhoJ062Yle
  119vR0N5etq67XpnFP7+4Ns4nHvvtc/9+WeI7fgsi8veBb4roc4KfGqG8cILdg7Ep19H4iAFHx9I
  S7Ojor78Ehp/2InrZ3pxw+QboMQZvvoK/D5oxJrDf+GVZr84FUbXpp7/JnYwi9DkvYTFhbLDfEer
  VtD1jnju7h/P+AkOltRvQGLVQChqP/On2AVtPmFT60bc/OKHTJ6cWRdzN61g/35bXz8ErcXhFcON
  t2/m9tvtCCqwddz+tvCM9+Fk3ElqTqjJmYQz/PabHT3WsSPcdlv29ynrZ+KcRYvs++50CieizlKn
  jn0fatSwM7LXr7f17lU2nIREYft2W++Vqwg160Xy0EP2uzBypB115uUTyXezBW9vm+++ffYzEJ0c
  SYnSyRQpHcX48TBkCKQ4UohKisooy+zI5wlu3YtNx7ay7eQ2opKi6NvXfm66doXIxEggcxjy4SNO
  Tsfb4XTx8XYU22+/QbNmkCxxVGzzJ6fNTjreEcptr30KwO1DVpFYJBwSKnEhbhPEK1TIXI5OiiY2
  OZbQmFDaf92e15a/Rr8b+tG+Vnv+u+i/NKnchKGthrLk4BL8yvqxIXQDAJ8GfcqLS17k+37fE5cS
  R4/re/D8zc8zceNEziaezbbP0/Gn+WbbN3h5eDHizxEEHgnkyc1tub/N7czaMYvdp3fjO9GXiIQI
  gs8EEx4XTkRCBEN/HcqDPz/I2cSzOCvuoFS9bawKWZXna3vmGbj//szluJQ44lLiOB57HACnONkX
  sY9tJ7fR6ZtOrApZxY7wHTSo0CAjjbe3UKf3LP7b+r+EtX6Yn8t3JCktiVSv0/z+h5OJE6Fzz3DC
  w21gGTcOHpz8GSEd72SDzzDMfxuTQgJrIr9n7fo0Xh0dwZ+bg+kwaAneHpUxNywA46D5rQf4M3Es
  kzvNhRKRiLFTUD+auwGM0LTrTjZG/EHppztx5Ahs3AhBhw7igSfJzT6FSruJqfEDG/YeoU8fWLQ0
  jgo1olizxg4TPRiSzMHYXYyJa8iPPwmbNsHRo3DiBCQ9W4nlETP49Vc7EatbN3DUXEWE93Juu/sE
  774L69Y7OVVsDdW6T2dPaBh7wkKJST3L/JW7AfslX7zYHsi2bbOBolIle//LL/ZAsHGjDdIbNsC6
  dTYonzpl35vkZPj2W3sA6NzZBuSmTWHpUru9WTN7P2OGHfO/aZM9UP35p51vsG6d/eK++N5eIh6s
  zuK/9pEw5DrW7DyMo9we1m47zbq4bwlJ2Qz1f+Pmah1oMfx1ho86zpAXw2g1aghv/PQ/EiqsY+Gm
  HSQn24ZEmcox1C17Pc6QDtS5fyLzfokjjnCSTSRpE/ZRNrIzaV6RHCvzHY56C2lapSmtq7fm+11z
  +GjaIeJ69uTkrT0IrfQ1xulFY3M3AJ7GEyrv5LqWh3mh7QvsqfguYhxUrGT/nWt/xEHGjLHfz8m/
  rMXDUYL6XdeycSP89Zd9vT/8HsHGDrU5bXZxOsLBW3PnkZSWxIKt69m7F+4dHMme4EQOnDzJzl0O
  IhLs9Sm2bwdKnWLTJjunIjwcxn/kZNeRU3z46wKu/6Qux+PCWL/ezt/48087pPjeAak0m3Ij5Rpv
  4rffICEBHK0nUH5ceaZNg6dGhrFli52wFzW0POUffpgbWpylalX7nlWpKtzyzS3UmVSH5Ac6MPfH
  JIKCYPq26Tzx6xMcPXOKTfuOcrTsLEzV7Szc8wdHo49S9cOq/L4+hJVrUlgTOZfy48qzL2Ife+LW
  gs8xJv/5C7dP70F8vD1Ynz0L33xjPzO95/Rmyt7R4JFGWP9a1PD/DU41otYdc2hZuxHewY9dMD66
  xTjxnEG85+yerD66mkolK3E64TSHIg/xXpf3uLHKjUzaOImpPadStXRVOvt1pmLJimw9uZWKJSvS
  oEID9p/ZT5+GfRjZcSQP3PgADSo24HDUYSasn8A9je+hXPFynE08y2MLH6O6d3Wm9Z5Gg8kNWHJo
  CVN7TqVfo34Enw3mxcUvkuxIJvBIIAN/HEhNn5qExoRSxKMIZYuXpeHkhsSlxJHiSMG7mDeHIg9x
  XbnrABuYQ2NCqV2mNtFJ0RhjiE+Jp5p3NQb+OJBf9v1CCc8SfNf3O8oVL0eyI5kVR1awN2Ivf4f/
  TVRSFD2u78HkoMmsObqGTWGb8PTw5L1b3yMxNZGjMUf5eOPHfLT+I97p/A7VvKux8Po+jPcPRTzK
  Ex4Xyawds9gTtwnvm48wtN3LrPmjCns7fchzy/aw5ugaTsadJC4ljj7XDeQ354+kdhvG9rYfU/pE
  D1qW6k35I4/RpNN+e1CJWgtl4KRzJ80GHeZv537iU+IJK7KF8o22Ys725UStmTzqO4ZjUSdY9XxL
  GnkH8VPR4Xj2/B3/nYkMfUIIaXcPVNoFxSIZMeo0XbtWpnRpaN1jF9QEv+vSeGL4ScKCK/DtjxF4
  e62ibpVmNGmxiHXf3EnXF/5E2pWlzvWVCWzdi+DKO+CRutyzfD9fROzm5UcaMGqUPTBs3mxbb888
  Y4NwVBQ8/XoIfmV96d8fql8XjU8FL0yZs5zZXhOwLcEKFewXsE4d26I7N2HM19fOrgV7ltGsmW3Z
  DXo4idjym7ixeTucpU5TpmxVJq2cQ1JaEm+vehu8Eojt3xZTIoaYTU9ya/W2dLu+K1/8Echvg2bQ
  d+7dDJg/gI1hG/Ep5sPqo6tx9PNg8NI0qjzwGOF1PyDGw3DsySjqTd9LRI97iSrT1hYkrioSX5G7
  /B4hNLo7K9uNonzRyrza8VWKexZn/5n9tPuqHfXK16N+hfrM+Psb+pf9iI8eu4fms6rQsGxzVlXb
  Qlqpk3TyHcKi4EV0C9hJU9/aPLbfcDIhlPUhQYwb14qXDv/Jzckj2JDyJY+9egffftSYO++Eej3W
  4SAFHm/CwI+msDJ6DiatNa99sQ5Z5U/yw605Ns8PeeA0j865DQ+/tXzd62tmbd8GL93P2EkHSEjy
  Y8fB04TWmYp3+6/5ZnMbxFmS/3v2K3r6vElKCjz7rD2w1vZfzumFp6l6wyJ+W9oQKMMJv48A2H5y
  Oy2+bc77YxIoUzGRp0KgXL1ggmt15qznd0BjPKvv5GziWW6rexsrwqPZXOZ1zJ5hbDy2mfWh6/Gd
  XIUSR/pQPLEvdX2LsTN2MhVLVuRMwhlaPjCXat7VWFXsZaKd0GNGX8IqRVF5aH3mbGhOUtMtjHgj
  juBdpalz40lWrqzK0KGwIS6WKqWq0LhyY5YfXs7BmD10qDKMtWnjeajyQ6RGPM12nskzPl7xQXzW
  LFi4MHuXQzFPOw/9dII9PfH08KR1jdaU9CpJn4Z9MtINazeM2JRYSniV4GziWV5o+wKhMaEYY3i7
  89vZ0r22/DU+/+tzAAShaJGibHh0A0U8inBXw7v4ed/P9G7QG4DmVZszdu1YGldqzKiVo+jTsA9r
  j60l1ZlK2eJlWXjfQubvno+I8O2Ob+l6XVfa/q8tQUOCKOJRhOAzwTy28DECHwzk4V8eZtnhZXa/
  bwlHo4/SoloL+t3Qj0kbJxF4JBCAebvnAbDz1E6ikqPoVb8XKY4U/m/a/9H1uq7MvGsmPsV8+Kr3
  V8zfPZ975t1Dy2otmbPLBozaZWrj0WQeEzckMnbtWHyK+TD+9vHcVPUmOvl1gm4wbm0Ka4+tJT4l
  njvr30mTSk249bpbOZl8gA1NZ/HfRm8z5buOzChmaH70S4a0mkOFEhVYemgp7au0Z+WRlZgShpqe
  NZm6eSqjV4+mZd2WzLxrEmPWVOOlDgOp7l2dLtO38+6RulCvOGkmiYlfh/LcN9MICVsHJc8A0KD7
  MtocLMe6H1qwIOYtAO56IIJJ1W6Djf68c3gNnRo2o3vd7mw+sZbo/3xJmaNCpf1P8+P7j1E2pBwY
  AZ8w2PIYz+0Zz4D+H/H886UZ+79gvpniTXW/UvQZGE/PO4pStlIiEQ1bsXrgCmpUbsKuOk/QYspW
  QiJDuTluO3//XZf33rOBe9gwOzt40CB7lgD2NL1XL4hKiiLFkUL5Frvxq5FGYvtF+E+fwH+aT+V4
  q8f5fud3zNk5h2HthjF+/Xj75JJnaHdiFuvaDeCWOqN4qcNwXuowHIAZd83Ab6IfgmS0UivvnUj9
  ku0Ia/gahHSgeuMwShUtRauaLTjm1Y5ec3pSOrk+cZsGUqQIDG03kJtvhuZffEfjyo3p36Q/AA6n
  g6PRR3m+7fPULV832/fuyVZP0rTCzazaNoykol7UKlOLDrU64FHsG7xrtcPvRH2OzB9F8iODKPN/
  I/E4Ecdj9d/gSJ1UJsW3pV7zA9zpXwVnl7VUO9OLhXt+Z0PoBjzr7aNh0AK2178XWoVQyiOK5YeX
  I0WEM/GnKR4eTZsvbybJpyXFjTdJtdcw5cRoUlp9Q2mv0pSgAgcSl1J536uU6vo3Lz0OCxcKXpVC
  eGdqHMNXBtD1uq4s5W1OJh2hattHiCqSTHXv6qw5aq+14dn+U2pVbEgXjy4sHbSU4UuG02P+LXi1
  +ojNZecytOVQ3uz0JvO8IrjX2RTT8iu+3haTceaZTByDfEcx8E4/+kyN5oE72jB7fhwx7efQon4r
  3q48ko8X/cHB2N8pv2Eaxbq/T8VSCYSmFGfGsk0UCW9J/FN1KJG4ip49W/Hk5P0cePYAKw6v4EjU
  EQ5FHmLCo/15dfl27mp4F8cvMonviv6j5LQ029f4/PO2y6FJE7u+39x+7Duzj/IlyuNTzIdmVZox
  usvoPPNZcXgFEQkR3NP4ngvub8XhFew4tYPmVZsTfCaYR1vYjr2/w/9mQ+gGHm/5OAB7I/Yyb9c8
  ihYpyshlI1k2eBlhMWEYYzgZd5Lh7e0X8ODZg8zfPZ8RHUcwculI5u2eR2JqIsPbD2fYkmEU9yyO
  U5y0qNaCDaEbWP/oem6dcStnXj5Dcc/its5G2c7/nvV7UrtMbRYfXExUUhRBQ4KYt2set153Ky2q
  tcj2OhJTE3ll2SsE+AfY08K0ZH649weG/joU72LeNKvSjKfbPE37Wu1zrYfp26bTuHJjWlVvBcDs
  HbPZsbEi7zx8G+PHw4gRcM89MHcuLNy3kF5zevFS+5e4sfKNlCpaivm757P5xGbuvP5Oxncbf17+
  Sw4u4a7Z/UhwxOJhPGhapSlpDgf9ik0hIDSzTE0qtCQyIYr4pFT6+g7lqEcgm4/t4myEB1WrOQkd
  dpSdp3bSZUYXPD082XhvGMH7PLntNjBPNoPI63iu5210rN6V51cOon6tinzScxwtprQg5XAb6pW+
  iSL1l7DvzL6MfX7e43MGNR1EtfHViE2JpVGZmzl2xJO+sStJSBBGjjvAwY0N6dHDXmPnVFwENVpt
  4X+vduXmO/Yz6+9Z/Bb8GwfPHKZc0SqExO+jW91ubDwWRFTKWfz9/AmJCmHnUzup8mEVJKk0ElOD
  Z4r9xYyD41j+eS8aVmyYUR4RocyYMsSmxFK1dFVOxp2kxV9B7FzSivnzYV/Efqj/K8M7vMj69VC2
  Qiqt5pelfuq9HJ4wjc8+s++VlxfM3z0fn2I+3F739gt+D85JdaRR9I3yUCyW0y+dZkf4DsauHcvi
  g4tpVqU5w0ptZX+NNwg6HkQjxwO8cscgKlWCQT8NIvZUBR5ucw9vbfwvH//nY8Z+eYhFHo9ze7X7
  qL97OpM3fwQ1NvJyjwGMC7mb3g16s/Or5/D6z0i84vzocOJ7fO/9hF//Xk1Q9G+kSAKNKzXm8QZv
  8fbrJYk9W5qbhr/Kgvt/4vc9K3jotwFUKFGB+2+8nzc7vUmrkSMJKTcNPJz4lqpP9XIVqO5dnb0R
  e4lOjqZokaI83PxhXr/ldQD+OPAHd42bSMv61Vj2/BcU8yyGwwGv/W85q5M+Z13UfEgrStmQB/nh
  oak0amRnSI8ZA++/DxUqOUh6qiapjlQWD1zMJ+u+ZPquKfBxMCVfbI5THHSt+DAeCdXwK1ebT489
  Sjufe/jsvle5/dvbOTHMtgYmbZjEsCXDSHo9CU8P28Z+8EGYMSPvP0rO76iS7sBeYD8wIpftFYDf
  gW3ADuChPPI5/2feC9i1S6RevfPXd5neRZYeXCq/B/8ufwT/8Y/ydKWDZw/Ke6suMpI/3Z7Te4QA
  xPNtT6k3TS1aAAAayUlEQVQ7qa6YACOeb3tKyXdLSkpaitSeUFu83vaSEX9mH3/2w+4fZP6u+SIi
  EpMUI/3m9pMZ22bku4yDfxosLaa0EBGRD9Z+IEMWDMn36JrcpKbaX9sHDrTLYTFhctecu2T5oeUZ
  ab7e8rUQQEa5c/P6gslCAPLwz48IAWS8j7U+qpUxoiIuOU5KvVtKRv45UmZunykEIAPnPCEevmtk
  2pbpImJHJg38caB8teWrbPnTfJq06LElYzkpNUkG/zRYir5TNCN/ApD+8/pLx3GPZiwP/HGgjPxz
  pPSf119Grxwt67ZFSIknO0mNe8fKkJlvS9F3isrXW76WebvmydGoo3LzlzeLx6tl5K15s6XSuEpS
  dkxZIQB55OdHJDwuXF5b9ppM2zpNCECGLx4uBCDvr7azSCZtmCSPjJ8rrR6dIZ9/LtKnT+511fZ/
  bWXwT4Nlyl9T5KUlL0nfe1IE7CiM3HT+prP0/+JNadbsgm9lvngN7ikEkG0E17m6ysvWE1ul1+xe
  UvXDqlJ9fHVJc6TJjJWrhQBkwsov5csv7TBAEPl1RbgQgOw+tVsmTBCp3m2WlGu6TtavFwk+EyxF
  3ykqd39/t3SZ3kUeX/C4OBwinp4ivk1CpeK4itLksyZS9J2ict2k6+TnPZnjLTt2FKHjezJx/URZ
  tH+R3DvvXik/trxMXD8x4/3YF7EvW7nbthVZtOj815OUmiTDFg+XYs+0kp6jJ523vWlTO+T5m63f
  yAM/PCApaSkyeuVo8X7XR8ApJUaXkGofVpOf9vwk3b/tLvfOu1feWfmOdP6ms3i/5y0DfxyYkdfC
  fQul1ke1suX/0ktyeUMMsT9+HgB8Aa/0QN0wR5q3gPfTH1cEzgCeueSV5xufm+++y30cdvMvmsvm
  45vP33CFG7N6jHyw9gMhABnx5wiZvWO2fLD2AxGxBybfCb4u3+fm45tl1t+zXJon2PG2eXE4HRKw
  IuCC4/BXHAqUYm8Xl9+DfxcTYDLSfrLxE/lh9w/yzdZvRERk6l9T5UjkEVl8YLEQgHwe9Lls2ZJn
  thmCg88fY+x0OqXex/XEBBgxAUZe/PU1OZtwVpKSRHzeLSc1xteQ2hNqS+n3SsvxmOMiYoeBedc6
  LLxcUSqOrSSfB30ufb/vK91mdpNS75aSrjO6yps/T5Wa42tmBDcTYLIdVILCgoQA5Fj0MXl92euS
  kpY5fjIqys4ujo628yFy8+32b2VH+I6M5X377Fj5vPy05ydZc3hDxvj7y+Hb5LgMnpp96uLSg0tl
  7s65F33uxtCNGZ+94zHHM4J1bGzmRLaDB0XeWP6GpDpSJSnJzrhcvDhz2Oesv2fJxtCN8vOen2Xd
  UTtRYNUqkY2bHFJ8dPGM4cQL9i7Itu/jx7NP3jt3AF24b6HEJMXImNVjzivvrl3ZhwfmNGbx17Ij
  bP956w8dshMDs5qxbYbc9MVN8tdfItdNuk46ft1RwuPCpcz7ZaTah9XkwJkDkuZIk9eWvSan4k5l
  PO90/Gn5aF32CQh2eOTlBfG2wO9ZlkfmbI0DQ4HJ6Y/rAPvzyCvvGsrC6bTjhStVyn2mYO0JteVw
  5OF85XWlcTgd8u6qd8+bxThkwRC5/4cLzDy5gpQvn9kSv1RxyXHywdoPJC45LqNleiFbT2wVApDV
  Iasva7/zd82Xp397Wq7/+Pps61tNbSUP/vSglBtTThp/2jhj/bkzj6q3LMx21ud0OmXM6jESGh0q
  0UnR8viCx2X44uHi9baXTFg/IWPimYhtyb276jKmvBaidu3sdYUul9PplFGBo8ThtDNtUlPtWO6c
  we+fmLRhkpyKOyVjVo/JmHSWl9Uhq2XwT4MlPC780nf4DxyJPJLREOnwVQd56OeHRETEb6LfeWc2
  +XG5QbwvMDXL8kDg4xxpPIAVwHEgBvhPHnnlq8CrV9tZZLt25T7Q3vs974u+ae5m5ZGVlx2gCkp8
  /IVbLP+GsJgwIQCJTIx0SV7nvmDnDJg/QN5Y/obcMesOeXzB49m2gZ0UcjHxKfEyYf2Eyy7flSQq
  Ku/Zhq7I+1rQb24/eWflOyIicujsIZm5feY/zuNCQdxVo1NeAbaLSGdjTF3gT2NMUxGJy5kwICAg
  47G/vz/+/v7nZTZ9uu3Mb9To/B2lOlJJSE3Au6i3i4p+ZbjF95bCLkK+lSxZ8PusUqoKk7pPomzx
  spedV3Xv6jzY/MFs6x5v8TjlS5TH38+fMsXKnPecIUMunm9Jr5I83/b5yy7flaTM+VXhFnlfSYa0
  GEJNHztMtU65OtQpV+eizwkMDCQwMDBf+V90dIoxpi0QICLd05dHYo8KY7OkWQS8KyJr05eXYbtc
  /sqRl1xsf4mJdgbWjh32PqdT8ado/FljTr90Oj+vTyml3J4xeY9Oyc+MzSCgnjHG1xhTFBgALMiR
  Zg/QNX1nVYD6wKFLKeyqVXYoYW4BfOuJrYxdM5byJcqfv1Eppa5BF+1OERGHMeZpYAk26H8lInuM
  MUPtZpkKvA9MM8ZsBwzwsoiczTvXvG3bZqdF52bcunGkOlJ585Y3LyVrpZS66lxxk33uv99eF+PB
  B8/fVntCbZYNXsb1Fa7/l0qolFJXnsvtTilQ27dnXkgoq8ORh0lKS6Je+XoFXyillLpCXVFBPDER
  Dh2yo1LOJJzh27+/zdj28tKXeazFYxiT+8xTpZS6Fl1RQXzXLqhfH4oWhV/3/8pbgfbCRwmpCSwK
  XpRxnQOllFLWFRXEs3alrD22lpCoEFIdqQSFBXFj5Rsp6VUIA5SVUuoKdkUE8bfftv9s8txzdmSK
  w+nIuATr0eijrDm6Js8r7iml1LWs0K8nnpwMkybBsmX20o5VqsBHGyZQtXRVavjU4GDkQX7e9zPv
  3/p+YRdVKaWuOIXeEl+xwv6Q2by5bY0fijrA2LVjmd5nOvXL1+e3/b9xLPoYnf06F3ZRlVLqilOo
  QfzMGftfhjffnLluxvYZDG46mDrl6tClThcmB03mnkb3UMSjSOEVVCmlrlCFGsT797f94U2bCi/8
  8QIxyTHM3TWXAU0GAHBn/Tsp4VkiY1kppVR2hdYnPnu2/fdxEfD0/YuJgROpWroqp+JP0bJ6SwBK
  FS3FoecOUblU5cIqplJKXdEKJYgHB9t/GZ8+HU6fhi1J82hcqTEjl43kjuvvwMNkniBoAFdKqbwV
  SnfKt9/C4MHQrx88+SRsDd/MmK5jALih4g2FUSSllHJLhdISX73a/mP6OTtP7eSmqjeR+FoiRYz+
  gKmUUvlV4EFcJPvMzFPxp0hxpFDdu7peF0Uppf6hAu9OCQsDT0+oWhXSnGncMesObqp6kwZwpZS6
  BAUexPfsgcaN7ePlh5djjOHX+38t6GIopdRVocCDeEIClC5tH/+w+wcGNB6gF7ZSSqlLVOBBPC3N
  dqcArDq6ii51uhR0EZRS6qpRaEH8TMIZwmLCuLHKjQVdBKWUumoUShD38HTw7d/f0rF2Rzw9Cv1C
  ikop5bYKPIKmpcHWak/z/eIv2P3U7oLevVJKXVUKpSWe5HmCH+/9kRsq6exMpZS6HIUSxFOLRFG2
  eNmC3rVSSl118hXEjTHdjTF7jTH7jTEjctk+3Biz1RizxRizwxiTZozJNUqnpUGKhwZxpZRyhYsG
  cWOMBzAZ6AY0Bu4zxjTMmkZEPhSRm0SkBfAKECgiUbnlp0FcKaVcJz8t8TZAsIiEiEgqMAfofYH0
  9wGz89pog3i0BnGllHKB/ATxGsCxLMuh6evOY4wpAXQHfsgrs5RUJynE4lPM55+UUymlVC5cPcSw
  J7Amr64UgN+XvIqHswjv8A7+/v74+/u7uAhKKeXeAgMDCQwMzFdaIyIXTmBMWyBARLqnL48ERETG
  5pL2R2CuiMzJIy957q0jfMMtRAWE5KuASil1rTPGICK5Xuo1P90pQUA9Y4yvMaYoMABYkMtOygCd
  gF8ulFl8WhTFcx+4opRS6h+6aHeKiDiMMU8DS7BB/ysR2WOMGWo3y9T0pH2AxSKSeKH84p1RlNAg
  rpRSLpGvPnER+QNokGPdlBzL04HpF8sryRFHcVP6n5RRKaVUHgp8xmaqMw1PD6+C3q1SSl2VCn7a
  vSNNr1yolFIuUigt8SJGg7hSSrlCwbfEndoSV0opV9EgrpRSbkyDuFJKuTEN4kop5cYKPIg7nGl4
  FtEgrpRSrlDwLXFJw0tb4kop5RKF052iLXGllHKJgu9O0Za4Ukq5TKH0iXt5ahBXSilX0Ja4Ukq5
  scIJ4tonrpRSLlHwQZw0imp3ilJKuUShtMQ9ixQp6N0qpdRVqcCDuFO7U5RSymW0O0UppdxYwbfE
  SaOotsSVUsolCiWI6zhxpZRyjULpE9fuFKWUco3C6U7RIK6UUi5RKEG8mAZxpZRyiXwFcWNMd2PM
  XmPMfmPMiDzS+BtjthpjdhpjVuSVl9OkUcxLg7hSSrnCRaOpMcYDmAzcChwHgowxv4jI3ixpygCf
  AreLSJgxpmJe+QlpFNUgrpRSLpGflngbIFhEQkQkFZgD9M6R5n7gBxEJAxCRiLwycxrtE1dKKVfJ
  TxCvARzLshyavi6r+kB5Y8wKY0yQMWZQnrkZnbGplFKu4qpo6gm0ALoApYD1xpj1InIgZ0Ln3/uY
  +/l3bKu4EX9/f/z9/V1UBKWUujoEBgYSGBiYr7T5CeJhQO0syzXT12UVCkSISBKQZIxZBTQDzgvi
  5iZfHnruEW6/vnO+CqiUUteanA3cUaNG5Zk2P90pQUA9Y4yvMaYoMABYkCPNL0BHY0wRY0xJ4GZg
  T26ZiYdOu1dKKVe5aDQVEYcx5mlgCTbofyUie4wxQ+1mmSoie40xi4G/AQcwVUR255qh0T9KVkop
  V8lXNBWRP4AGOdZNybH8IfDhRTPTlrhSSrlMgc/YxENHpyillKsUShD31D9KVkoplyj4IF5Eg7hS
  SrmKtsSVUsqNaRBXSik3pkFcKaXcmAZxpZRyYxrElVLKjWkQV0opN6ZBXCml3FjBB3HjwMMU/G6V
  UupqVAhB3EkRjyIFvlullLoaFUoQ15a4Ukq5hgZxpZRyYxrElVLKjRVCEBcMpsB3q5RSV6OCD+Ji
  MEaDuFJKuUIhBHHtSlFKKVfRIK6UUm5Mg7hSSrmxAo+ophCOG0opdbXSlrhSSrkxDeJKKeXG8hVR
  jTHdjTF7jTH7jTEjctneyRgTZYzZkn57Pc+8tDtFKaVc5qLXhDXGeACTgVuB40CQMeYXEdmbI+kq
  Eel10T1qS1wppVwmPxG1DRAsIiEikgrMAXrnki5fM3i0Ja6UUq6Tn4haAziWZTk0fV1O7Ywx24wx
  vxljGuWZm7bElVLKZVz1FzubgdoikmCM+Q/wM1A/t4TO1QkEBAQA4O/vj7+/v4uKoJRSV4fAwEAC
  AwPzldaIyIUTGNMWCBCR7unLIwERkbEXeM5hoKWInM2xXjxHVCN1zPF8FU4ppRQYYxCRXLus89O3
  EQTUM8b4GmOKAgOABTl2UCXL4zbYg8NZcqPdKUop5TIX7U4REYcx5mlgCTbofyUie4wxQ+1mmQr0
  M8Y8CaQCiUD/vPLTy9AqpZTrXLQ7xaU7M0a8Xq5NytiQAtunUkq5u8vtTnFtYbQ7RSmlXKYQIqoG
  caWUchW9iqFSSrkx7U5RSik3pt0pSinlxrQ7RSml3Jh2pyillBvTlrhSSrkx7RNXSik3pi1xpZRy
  Y9onrpRSbkxb4kop5cY0iCullBvTIK6UUm5Mg7hSSrkxHWKolFJuTFviSinlxjSIK6WUG9MgrpRS
  bqzAI6qHBnGllHIZbYkrpZQb0yCulFJuTIO4Ukq5sXxFVGNMd2PMXmPMfmPMiAuka22MSTXG3H2B
  NJdSTqWUUrm4aBA3xngAk4FuQGPgPmNMwzzSjQEWXzA/bYkrpZTL5CeitgGCRSRERFKBOUDvXNI9
  A8wHTl0oMw3iSinlOvmJqDWAY1mWQ9PXZTDGVAf6iMjnwAX7SzSIK6WU63i6KJ+JQNa+8jwDefS6
  PQQEBADg7++Pv7+/i4qglFJXh8DAQAIDA/OV1ojIhRMY0xYIEJHu6csjARGRsVnSHDr3EKgIxAOP
  i8iCHHmJ3/D+HP5gTj5filJKKWMMIpJr4zg/LfEgoJ4xxhc4AQwA7suaQESuy7KzacDCnAE8Y7t2
  pyillMtcNIiLiMMY8zSwBNuH/pWI7DHGDLWbZWrOp1woPw3iSinlOvnqExeRP4AGOdZNySPtIxfK
  y8NoEFdKKVfRGZtKKeXGCj6Ia0tcKaVcRi9Fq5RSbky7U5RSyo1pd4pSSrkx7U5RSik3VvBBXFvi
  SinlMtonrpRSbkxb4kop5ca0Ja6UUm5MW+JKKeXGroiWuJ+fH8aYq+Lm5+dX0FWqlLqGuepPIfIt
  t5Z4SEgIF7uuubvQP4JWShUk7U5RSik3pjM2lVLKjWlLXCml3Fgh/LCpfcZKKeUq2hJXSik3pkE8
  HyIjI7nrrrsoXbo0derUYfbs2YVdJKWUAgphiKE7jsB76qmnKF68OKdPn2bLli306NGD5s2bc8MN
  NxR20ZRS17gCbxYLaQW9y8uSkJDAjz/+yOjRoylRogQdOnSgd+/ezJw5s7CLppRSBR/Enca9gvj+
  /fvx8vKibt26GeuaNWvGrl27CrFUSillFXh3ipjUS3qeK7phLmVSaFxcHD4+PtnW+fj4EBsbe/kF
  Ukqpy5SvlrgxprsxZq8xZr8xZkQu23sZY7YbY7YaY/4yxnTJKy/nJXaniFz+7VKULl2amJiYbOui
  o6Px9va+tAyVUsqFLhrEjZ1iORnoBjQG7jPGNMyRbKmINBORm4CHgal55ee8xJZ4Yalfvz5paWkc
  PHgwY9327dtp3LhxIZZKKaWs/LTE2wDBIhIiIqnAHKB31gQikpBlsTQQkVdml9oSLywlS5bk7rvv
  5s033yQhIYE1a9awcOFCBg0aVNhFU0qpfAXxGsCxLMuh6euyMcb0McbsARYBz+aVmbu1xAE+/fRT
  EhISqFy5MgMHDuSLL77Q4YVKqSuCy37YFJGfgZ+NMR2BmUCD3NIdWxZEQEoAAP7+/vj7+7uqCP+a
  cuXK8dNPPxV2MZRS14jAwEACAwPzldZc7Drexpi2QICIdE9fHgmIiIy9wHMOAm1E5EyO9dLy3fv5
  69VZOdNfVdcTv1pei1LqypAeV3Ido5ef7pQgoJ4xxtcYUxQYACzIsYO6WR63AMgZwM9xuGF3ilJK
  Xaku2p0iIg5jzNPAEmzQ/0pE9hhjhtrNMhXoa4wZDKQA8UD/vPJztx82lVLqSpavPnER+YMcfdwi
  MiXL43HAuPzk5URb4kop5SoFP+1eW+JKKeUyBR7Ei3voTEellHKVAg/iD5b9X0HvUimlrloFHsRL
  FvG5eCKllFL5UvD/7ON+f+yjlFJXrIL/o2Q3/GefTz/9lNatW1O8eHEeeeSRwi6OUkplKPDriXt5
  FfQeL1+NGjV44403WLx4MYmJiYVdHKWUylDgQbxv34Le4+Xr06cPAEFBQYSFhRVyaZRSKlOBd6eU
  KFHQe1RKqatXgbfEL5UZdfmd6fKWXphKKXV1cZsgrgFYKaXOpwP+lFLKjWkQzweHw0FSUhIOh4O0
  tDSSk5NxOByFXSyllNIgnh+jR4+mZMmSjB07llmzZlGyZEnefffdwi6WUkpd/J99XLozYyS3/V1N
  /4ZzNb0WpdSV4XL/2UcppdQVSoO4Ukq5MQ3iSinlxjSIK6WUG9MgrpRSbkyDuFJKubErYtq9r68v
  xh0vNJ4LX1/fwi6CUuoakq9x4saY7sBEbMv9KxEZm2P7/cCI9MVY4EkR2ZFLPrmOE1dKKZW3yxon
  bozxACYD3YDGwH3GmIY5kh0CbhGRZsBo4MvLK/LVLzAwsLCLcMXQusikdZGd1sfF5adPvA0QLCIh
  IpIKzAF6Z00gIhtEJDp9cQNQw7XFvProhzOT1kUmrYvstD4uLj9BvAZwLMtyKBcO0o8Bv19OoZRS
  SuWPS3/YNMZ0Bh4GOroyX6WUUrm76A+bxpi2QICIdE9fHglILj9uNgV+ALqLyME88tJfNZVS6hLk
  9cNmflriQUA9Y4wvcAIYANyXNYExpjY2gA/KK4BfqBBKKaUuzUWDuIg4jDFPA0vIHGK4xxgz1G6W
  qcAbQHngM2MHfKeKSJt/s+BKKaUK+HriSimlXKvApt0bY7obY/YaY/YbY0Zc/BnuzRjzlTEm3Bjz
  d5Z15YwxS4wx+4wxi40xZbJse8UYE2yM2WOMub1wSv3vMMbUNMYsN8bsMsbsMMY8m77+mqsPY0wx
  Y8xGY8zW9Pp4L339NVcXYOehGGO2GGMWpC9fk/VwWUTkX79hDxYHAF/AC9gGNCyIfRfWDTtCpznw
  d5Z1Y4GX0x+PAMakP24EbMV2b/ml15Up7NfgwrqoCjRPf1wa2Ac0vIbro2T6fRHsvIoO13BdvAB8
  CyxIX74m6+FybgXVEr/ohKGrjYisASJzrO4NTE9/PB3ok/64FzBHRNJE5AgQjK2zq4KInBSRbemP
  44A9QE2u3fpISH9YDNvAieQarAtjTE3gDuB/WVZfc/VwuQoqiP/TCUNXq8oiEg42sAGV09fnrJ8w
  rtL6Mcb4Yc9QNgBVrsX6SO9C2AqcBAJFZDfXZl1MAF4Csv4wdy3Ww2XRS9EWrmvqV2VjTGlgPvBc
  eos85+u/JupDRJwichP2bOT/jDH+XGN1YYzpAYSnn6FdaOjxVV0PrlBQQTwMqJ1luWb6umtNuDGm
  CoAxpipwKn19GFArS7qrrn6MMZ7YAD5TRH5JX33N1geAiMQAi4BWXHt10QHoZYw5BMwGuhhjZgIn
  r7F6uGwFFcQzJgwZY4piJwwtKKB9FyZD9lbGAuCh9McPAr9kWT/AGFPUGFMHqAdsKqhCFpCvgd0i
  MinLumuuPowxFc+NuDDGlABuw/5gd03VhYi8KiK1ReQ6bDxYLiKDgIVcQ/XgEgX1CyrQHTsqIRgY
  Wdi/6BbA6/0OOA4kA0ex15QpByxNr4clQNks6V/B/uK+B7i9sMvv4rroADiwo5K2AlvSPw/lr7X6
  AG5Mf/1bge3A8PT111xdZHl9ncgcnXLN1sOl3nSyj1JKuTH9YVMppdyYBnGllHJjGsSVUsqNaRBX
  Sik3pkFcKaXcmAZxpZRyYxrElVLKjWkQV0opN/b/tiaExisK9ZQAAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f798a54de10>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAJZCAYAAACTE4A9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzs3XmYXVWd7//3NwQElSFMVZAJRUa1FQewBbQABRkEWmnE
  9oqKgDYOaHsVQt8rsdsWo00rV+XXijSkEUwDDqCtzFS3QzMoCGICBDEDgSrmAIISku/vj7VDTiqn
  UpVpVVXq/XqeerLPHtfeteucz1lr7ZXITCRJkrRujRnqAkiSJI0Ghi5JkqQKDF2SJEkVGLokSZIq
  MHRJkiRVYOiSJEmqwNAlSZJUgaFLkjQsRcSSiHhp7W1Xss/3RcTPVnPbN0fE/LVZHo08hi6NeBHx
  hoj4eTO9JCKejIgnIuKhiLg6Io7us353RDzTrLP057KW5ZtGxFcjYm6zbHZE/EtEbNmyzvsj4vaI
  +GNE3B8RZ0fE5i3LT4+IZyNiYfNzZ0R8LSI625R/h4hYHBHfWIVzXhIRPRExpmXe2Ih4MCIWt8y7
  PiKOa6bf3Gz39T77+llEHNtMt/1Qaa7ZoxGxYZ/550XEn1uu45MRcetKyr1Py+/nqaY8T7TMm9Cy
  7vkRsSgiOvrsY2qz3VEt8zZo5k1qKdc/9NlucrNOv+97EfGTlrI825zb0tdnt1zDFe6d5nd+Qcu+
  VvVeXLruXv2Vr2W/L+0zr++xr2vuhYURMTMiTuiz/t9ExJzmmN+PiC1Wdsw+ZV0YEY9HxM0RcUpE
  bNRnvd0j4rJmnYURcW1E/OVA++/Hmozeva5G/h6OZdIIYejSkIuIWMNdHAr8Z8vrv8jMzYBdgOnA
  1yPi/7YsT+CkzNys5eeIpiwbAtcBuwEHNvv5S+BhYM9mnU8BZwCfAjYD3gBMBq6OiLEtx5mRmZsD
  WwJ/BXQCv+4bIoBjgTuAd/UNNQN4DDi45fXBwKMDbPNH4L1Lw0k/lvtgiIjJlHN/EDi8zfrTWq7j
  ppm5R787zvx5s85mwMubY22+dF5m3tcc84XAO4CZwP9qU75HgM/1uXcG84G20nUy85CW8l3YnNvS
  sp3UrHZfu3unzf6TVbsXlx7nxtU8h9b5JwPjm/vv/cDXImIXgIh4OfCvwHuADuAZ4P8b4JitZd0c
  2I5y/x8D/GTpChGxI/Bz4DZgB2B74IfAVQOFyX6syXvDmr6vSGudoUuD0nyjva/5Jj4rIvaLiDER
  cVpE3NN8o705IsY3678xIm6KiMci4sbWb7pRal8+HxE/j4g/Ai+JiM0i4twotUbzI+Ifl36gRsSO
  zbfsx5tv79/tU7xDaHnjp3mzzcxHM/M7wN8Cp0XEuL7rtPE+YAJwZGbe1ezn4cz8QmZeERGbAlOB
  j2bm1Zm5ODPnAUdTPmT6BgSadWYB7wIeonxYtTq22ecjwNv7KVc7FzTlbd3P9AG2eRw4vzneYB0L
  XA38O+UDfG1r97t4J/AHYFo/x7wSeBZ47wD7GUrBmt2LK9vvSmXmbzNzUcusp4Anmum/AS7PzF9k
  5tPA/wXeEREvGuyxM/OZzPxvSgj/y4g4pFk+FfhlZn42Mx/PzD9m5tco9+q0tjsc+O/7rRFxd5Sa
  1r61tMc1NXmPRMRP232ZiIg9I+KB1oAeEX8VEbc10xERpzbvYw9FxIwBav7GRKm1frw59v4t+31/
  M++JZn8n9reTiPh4RNwREduv5Fhazxi6NKCI2Bn4CPDa5lv7QcAcSnh4F/C25tvvccDTzQfKj4Gv
  AlsBXwH+s88Hzf8Cjgc2BeZRwsKfgZcCewBvbZYD/CNwZWZuQQlEX2spWyewbWbetpJTuAwYS1NT
  NYADgCsy85l+lr8ReAHwg9aZmflHSvB7a387zswlTVn2bSn/vsC2zbaXsnyIWpmk1CC8qQmsWwD7
  NPsfaLt/At4ZETsN8ljHAv8BXAIcFBHbDHK7NfG+5pg/Al4WEX1rz5ZQwsLpEbHBIPc5HELZqtyL
  ayQifhQRzwDXA8dl5gPNopdTaqIAyMx7KX97O6/qMTJzPvArlt3Tb6HcJ31dDOwdES9os6zfv+/G
  ocBrgVcBR0fEgc35HQGcChwJbAP8DOgb2MjMmyihc/+W2e8GvtNMf5wSHvel1Mw9Bpzd70nDXsBs
  ynvbVKC1ebYXOKR5n/wA8JWIeHXfHUTEZyl/V2/KzPtXciytZwxdGozFwEbAKyJibGbOy8w/AB8E
  /j4z74Hnv10/RnmTvDszL8rMJZk5A7iT5Wtxzs/MO5sgsiWlaeyTmfmnzHyYEtiOadZdBEyOiPGZ
  +Wxm/rJlP4cAV6ys8Jn5HKV5cMuW2V9rvjk/1vz7uWb+VsADK+xkma2Bh5ty9/VAs3xl7u9TjmOB
  H2XmnykfVm+LiIH2sdSfgMsp1+ldzfSfB9ooMx+kNC/9w0DrRsQ+wHhKzchs4HeUmpJWn+5zLc8b
  ZPn7O+YkoAu4JDOfpPx+j21zHj+m1Bwe33dZn3I9GhGP0hI01tD4Pud71MCbFP3ci/+vZX+/GuSu
  bmk5t8eAU9oc6+3AiykB9vyImNgsejGwsM/qT1C+AK2O1nt6a9r//TxA+bzZss2ylf19A5yRmU82
  Ae96YGmI+VCz7O7m7/GLwKtbzrPVDJr7tqmtPoRlAe1DlPexB5rawX8Ajor++/71Zub/a2qwLwbu
  orznkZk/zcw5zfTPgKto+ZJFqSU7kxJOuzJzoO4AWs8YujSgzPw98AnKt7oHI+KiiNgOmAjc22aT
  7YG5febNpXx4L9X6FM9kYEPggZYPkX+lfHsF+DTlXr0pIn4bER9o2bZv0+IKovSz2obSfLfUxzJz
  y8wc1/x7ejP/EUp/lf48DGzdzxvyds3ylRlP0+8qIjYG/pqmZiAzf0O5Tn1DTTtLa20uoASS91Ka
  /wZrGqXW6i8GWO9Y4KrMfKp5fQkr1sZ9uc+1/ABr5r3AHU3Ig1ID+J5+arT+D/D3wMZtli0t15aZ
  uSUw0LkO1oI+53vpYDfs5178eMv+XjfIXe3Rcm7j6KfprgkGlwI3UvoVQqn12azPqpsDTw72PPp4
  /p6m3P/t/n62o9ROPtZm2cr+vqHUHi31NCU0QnnfOKslVD9Cqckdz4ouAv4qSp/JdwC/Xtp/sNnP
  D1r2M5MSBPv2vVxqQZ/XcynveUTEwRHxP01z59I+l61forYATqCExafQqGPo0qBk5ozM3BdY2mdi
  GqVZcMc2q99P6d/UahLLv1m1dvqdT6m12arlw2eLzPyL5tgPZuaJmTke+DBwdkS8tPkAezOlv9HK
  HEl5E715oPMErqGEkU36Wf4/lNqkd7TOjIgXU95gr+lvx02fkrcD/93Megflw++bTZ+TByjNK4Nt
  Ylz6bXo7ShPrL1Zhu0cptYn/SD8ds5tQeDSwf0v5PgW8KiJeOdhjrYb3Aju1HHNpM/UhfVfMzGuA
  e4CTGBlPhq3Kvbgyq9pUOpYSWKDUVr7q+R2Vzu8bAnevciFKrdJrWXZPX0P5ItHXu4D/ycw/9V3Q
  39/3IA4/H/hQa/jMzBdn5g1tjjGLEo4OoTQtXtSyeB5wcJ/9vKilObavvqFuEnB/lKc4LwW+BGzT
  hOGfsvzv6lHgMErN4xsHcY5azxi6NKCI2DlKx/mNKJ2Xn6E0OX4b+HxEvKxZ75VNv62fUD40j4ny
  KP+7KE8D/qjd/jOzh1IN/5UowzVEE6re1Oz3qGg66FM6gi9pfvYBbuvvG2NEjIuI9wBfB77YNH0O
  5ALKm/n3ImKXpixbRcSUiHhbZj5BaX74WkQcFGWYhh0o/Y/msayfCDRvts012I3SxNEB/Euz/Fjg
  XOCVlA/BVzXn9KooT5gN1mFA6xN0g/1A/gqlj9pu/Sz/K+C5ZvnS8u1GeTpthea+1bRcWaM8cPFS
  4PUtx3w5pSmov2P+H+Azq3O8WlbzXlzdY+0SEW+LiI2b+/N/Aa+j/I1BeSrz7RGxd5TO8/8AfK/p
  lzjYY2wSEW+m9Cu8ITN/2iz6HPDGKA/CjIuIF0fExyh9ONv+jlby9z2Qf6U8lLB7s5/NB2jqvYjy
  VOe+LN/v7JvAF2LZcCPbRES7p3SX6oiIjzXX9q+BXSlPT2/U/DycmUsi4mDgwL4bNw8gvIfyHvP6
  QZyn1iODCl3NB87vooxLdGFEbNT8QV0VEXdFxJWx/BhFU6KMbTQrmk6PGtFeQOkv8RClFmsbYArl
  Q/s/KI+DL6SEsE2aWpTDgP9NaW7438ChLR807WokjqW8Yc2kfBu8hDLEApQP4Bsj4gnKm/zHm34T
  h7Ji02ICtzXrzqZ07j85Mz/XZ72vx/JjS90MkJnPUvpb3EmpQVsI3ECpabmxWefLwGnAPzfL/4fy
  LfotufwTY0c35Xi8KfdDlIcReqM8sbQ/8JXmm/7Sn1sofZgGqu16/hpm5qzmm/wKy1hJ7U/TX+pL
  tO9nA+V38m+ZuaC1jJTg8J6WJtbP9LmWDw5Q9rbn0XLMH2bmzD7HPAs4LNo8Vdb0AbppZee6kuOt
  rXX7236ge3F1jjHQNkHpCtAL9FD6vB2a5SlbMnMmpUbpomb5JpQHZQbj683feg/ly8MltAxbkqV/
  5z6UfldzKO8Xf0UZfuX5GqjmPtm7ednf33e7c229739IeV+aERGPA7cDb2u3bmMG8Cbg2j59qc6i
  POCw9H3sl7Q86NCnrFDeD3aivLf9I/DOLE9qPkXplH9J00x5DP082NLU0H4QuDzadLTX+isyV/73
  G2WMnuuBXTPz2Yj4D8oH3e7AI5n5pYg4BRiXmac23zoupPwhTaBUN++UAx1IWkUR8TvKG96dQ10W
  SZIGMpiaricoTUovavrQbELpm3MEy8YEmk7pqwDl0dsZmflc821lNhUej9boEqVD7HQDlyRppBgw
  dDVNQmdS+qssABY2VaMdmdnbrNNDGWsISifD1ifTFtD+aRJptWXmosz80lCXY12J5f+7nNamuycG
  3nroRflvZtqV/7dDXTaAKINSrnBtI+Ldw6BsQ/a77++4fZrXJK2msQOtEOUpkk9SHqtdSGmvfg8r
  aWuXtGYy8+es/rhJQy4zL2L5J8SGlcx8xVCXoT9D+bvPzBF7z0kjwYChi/LUyy+WdjyMiB9Qnnjq
  jYiOplNwJ+X/ZYNSs9U6ON0EVhzXhIgwpEmSpBEjM9foCejB9Om6C3hD8/hxUP6blJmU0a/f36zz
  PpY9pXE5cEzzhONLgJdRnixaQWb60+fn9NNPH/IyDMcfr4vXxWvidfG6eF2G8mdtGLCmKzNvi4h/
  B35NGZvpVuBblOrviyPiOMrj8kc368+MiItZNqrvSbm2SitJkjRCDaZ5kSzjEn25z+xHKeMZtVv/
  DOCMNSuaJEnS+sMR6YeZrq6uoS7CsOR1ac/rsiKvSXtel/a8Lu15XdaNAQdHXWcHjrDVUZIkjQgR
  QVboSC9JkqQ1ZOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIk
  VWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA
  0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFL
  kiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJ
  UgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQK
  DF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6
  JEmSKjB0SZIkVTB2qAvQTmfnDvT2zh3qYgw7HR2T6emZM9TFkKRRYdKkTubP7x3qYgw7Eyd2MG9e
  z1AXY0SKzByaA0dkf8eOCGBoyjW8BUP1+5Kk0SYiuP76oS7F8LPffozKz6KIIDNjTfYxYPNiROwc
  EbdGxC3Nvwsj4uMRMS4iroqIuyLiyojYvGWbKRExOyJmRcSBa1JASZKk9cGAoSsz787MPTLzNcBr
  gT8CPwBOBa7JzF2A64ApABGxO3A0sBtwMHB2lKorSZKkUWtVO9K/Bfh9Zs4HjgCmN/OnA0c204cD
  MzLzucycA8wG9lwLZZUkSRqxVjV0vQu4qJnuyMxegMzsAbZt5o8H5rdss6CZJ0mSNGoNOnRFxIaU
  WqxLmll9e9GNvl51kiRJg7QqQ0YcDPw6Mx9uXvdGREdm9kZEJ/BgM38BMLFluwnNvBVMnTr1+emu
  ri66urpWoTiSJEnrRnd3N93d3Wt1n4MeMiIivgtckZnTm9fTgEczc1pEnAKMy8xTm470FwJ7UZoV
  rwZ26js+hENGrA6HjJCkWhwyoj2HjFh9g6rpiogXUjrRn9gyexpwcUQcB8ylPLFIZs6MiIuBmcAi
  4KR+05UkSdIo4eCoI4o1XZJUizVd7VnTtfr8vxclSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSp
  AkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG
  LkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S
  JEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS
  KjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg
  6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqYOxQ
  F2BlDjoIvvpVGDMGzj0XvvSl5ZdvuSV85zuw3XawwQZw5pkwfXpZ9u1vw2GHQW8vvOpV9csuSVp9
  V9xzBZ+44hMsySV8cI8Pcso+pyy3/J9/+c9c+NsLCYJFSxYx66FZPPyZh9li4y0442dn8J3ffocN
  YgNe2fFKzjviPDbaYKPVKsdNN8HXvw6ZcMgh8O53L7984UL4whfgkUdgyRI4+mh429vg2Wfh5JPh
  uedg0SLYe2844YSyzfTp8OMfw7hx5fXxx8Oee65W8TTCRGYOzYEjsr9jRwQRyd13wwEHwP33w803
  wzHHwF13LVvvs5+FjTeG006DrbYqyzo6YPHicoM/9RT8+7+vT6ErGKrflyTVsiSXsPPXdubaY69l
  +0235/XnvJ4ZR81g1613bbv+j+/+MV+94atcc+w1zH18LvtN3487P3onG22wEe+69F0cutOhHPuq
  Y1e5HBHB9tuXL/Rbbw0f/nD53Jk0adk606eXgHXCCSWAHXssfP/7pSLgT38qn1GLF8PHPgZ/+7fw
  yleWbTbZpAS0kWi//RiVn0URQWbGmuxj2DYv7rknzJ4N8+aVbwozZsARRyy/Tk8PbLppmd500/JN
  Y/Hi8voXv4DHHqtbZknSmrtpwU3stNVOTN5iMhtusCHHvOIYLrvzsn7X/+4d3+XdryhVUJu9YDM2
  2mAj/vjsH3luyXM8vehptt90+9Uuy4QJ0NkJY8fC/vuXz5ZW48bB00+X6aefhs02K4ELSuCCUtOV
  uezzSqPXsA1d48fD/PnLXt93X5nX6pxz4OUvhwUL4LbbSlWuJGlkW/DEAiZuNvH51xM2m8CCJxe0
  XfeZRc9wxT1X8M7d3wnAuE3G8am//BSTvjqJ8f8yni023oK3vPQtq12WbbZZfvqhh5ZffthhMGcO
  HHVUaSb86EeXLVuypNSAvfOdpcVlhx2WLfvBD8r6X/5yaZXR6DBsQ9dgTJlSwtb48bDHHvCNb8CL
  XjTUpZIk1fKju3/EPpP2YYuNtwDg3sfu5Ss3fIW5n5jL/X93P089+xQX/faidXb8iy6CHXeESy+F
  b30LzjoLnnmmLBszplQOXHwx3H47/OY3Zf4RR5Ttvv3t0jf57LPXWfE0zAzb0LVgwfLt5hMmlHmt
  9t4bLrmkTN97L/zhD7Br+yZ/SdIIMX6z8cxbOO/51/c9cR/jNx3fdt0Zd8x4vmkR4Ff3/4q9J+7N
  lptsyQZjNuAdu76DX87/5WqX5cEHl00/9NDyNV8Ad9wBb35zU+7xpSly3rzl13nRi+ANb4C77y6v
  t9gCoukZdOihy/dV1vpt2Iaum2+Gl72sBK8NNyyd6C+/fPl1Zs2CtzS1xttuCzvvXMLXUhHLbmxJ
  0sjw+u1fzz2P3sPcx+fy7OJnmXHHDA7f5fAV1lv4p4X819z/4ohdlnX43WWrXbhhwQ386bk/kZlc
  +4dr2W3r3Va7LAsWlP7DixbBddfBG9+4/PJJk+CWW8r0o4+WrjDbbVc61S9tNvzzn+HXvy41YkvX
  W+pnP1u+2VHrt2H59GJn5w709s7loIMO4qyzzmLMmDGce+65TJs2jRNPPJHM5JxzzmGrrbbivPPO
  Y9KkSUQEZ5xxBjNmzADgwgsvpKuri6222ore3l5OP/10zj///IpnuPZ1dEymp2fOUBdDkta5K+65
  gpOvOPn5ISNO3edUvvmrbxIRnPjaEwGY/pvpXPn7K7noncs3H375F1/m/NvOZ4PYgD2224Nvv/3b
  bLjBhqtchkmTOpk/v3etnM/6ZOLEDubN6xnqYlS3Np5eHJahS5IkaThZr4eMkCRJWp8MKnRFxOYR
  cUlEzIqI30XEXhExLiKuioi7IuLKiNi8Zf0pETG7Wf/AdVd8SZKkkWGwNV1nAT/JzN2AVwF3AqcC
  12TmLsB1wBSAiNgdOBrYDTgYODvC7uySJGl0GzB0RcRmwL6ZeR5AZj6XmQuBI4DmfzpkOnBkM304
  MKNZbw4wG/B/lZIkSaPaYGq6XgI8HBHnRcQtEfGtiHgh0JGZvQCZ2QNs26w/HmgZS54FzTxJkqRR
  a+wg13kN8JHM/FVEfIXStNj30cNVfhRx6tSpz093dXXR1dW1qruQJEla67q7u+nu7l6r+xxwyIiI
  6AD+JzNf2rzehxK6dgS6MrM3IjqB6zNzt4g4FcjMnNasfwVwembe2Ge/DhkhSZJGhCpDRjRNiPMj
  Yudm1gHA74DLgfc3894HLP0v4C8HjomIjSLiJcDLgJvWpJCSJEkj3WCaFwE+DlwYERsC9wIfADYA
  Lo6I44C5lCcWycyZEXExMBNYBJxklZYkSRrtHJFekiRpAI5IL0mSNEIYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJD
  lyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5J
  kqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJ
  FRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqGDvUBWins3MH
  envnDnUxhp2Ojsn09MwZ6mIMO50TOuld0DvUxRh2OsZ30HNfz1AXY1jxXmnPe6W9SZM6mT/f+6Wv
  iRM7mDfP+2V1RGYOzYEjsr9jRwQwNOUa3oKh+n0NZxEBU4e6FMPQVLxf+vBe6cdU75V2IoLrrx/q
  Ugw/++03Ou+XiCAzY032MajmxYiYExG3RcStEXFTM29cRFwVEXdFxJURsXnL+lMiYnZEzIqIA9ek
  gJIkSeuDwfbpWgJ0ZeYemblnM+9U4JrM3AW4DpgCEBG7A0cDuwEHA2dHqbqSJEkatQYbuqLNukcA
  05vp6cCRzfThwIzMfC4z5wCzgT2RJEkaxQYbuhK4OiJujojjm3kdmdkLkJk9wLbN/PHA/JZtFzTz
  JEmSRq3BPr24d2Y+EBHbAFdFxF2s2NN99PWqkyRJGqRBha7MfKD596GI+CGlubA3IjoyszciOoEH
  m9UXABNbNp/QzFvB1KlTn5/u6uqiq6trVcsvSZK01nV3d9Pd3b1W9zngkBER8UJgTGY+FREvAq4C
  PgccADyamdMi4hRgXGae2nSkvxDYi9KseDWwU9/xIRwyYnU4ZEQ7DgPQj6mj87HulfFe6cdU75V2
  HDKiPYeMWH2DqenqAH4QEdmsf2FmXhURvwIujojjgLmUJxbJzJkRcTEwE1gEnNRvupIkSRolBgxd
  mfkH4NVt5j8KvKWfbc4Azljj0kmSJK0n/L8XJUmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJD
  lyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5J
  kqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJ
  FRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiS
  JEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmS
  VIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSapg7FAXoJ2Ojsn09sZQ
  F2PY6eiYPNRFGJY6xnfQO7V3qIsx7HSM7xjqIgw73ivtea+0N3FiB/vt5/3S18SJ3i+rKzJzaA4c
  kUN1bElTTr9KAAAbF0lEQVSSpFUREWTmGtUIDbp5MSLGRMQtEXF583pcRFwVEXdFxJURsXnLulMi
  YnZEzIqIA9ekgJIkSeuDVenTdTIws+X1qcA1mbkLcB0wBSAidgeOBnYDDgbOjgjbCiVJ0qg2qNAV
  EROAQ4Bvt8w+ApjeTE8HjmymDwdmZOZzmTkHmA3suVZKK0mSNEINtqbrK8CngdZOWB2Z2QuQmT3A
  ts388cD8lvUWNPMkSZJGrQFDV0QcCvRm5m+AlTUT2itekiSpH4MZMmJv4PCIOATYBNg0Ii4AeiKi
  IzN7I6ITeLBZfwEwsWX7Cc28FUydOvX56a6uLrq6ulb5BCRJkta27u5uuru71+o+V2nIiIh4M/Cp
  zDw8Ir4EPJKZ0yLiFGBcZp7adKS/ENiL0qx4NbBT3/EhHDJCkiSNFGtjyIg1GRz1i8DFEXEcMJfy
  xCKZOTMiLqY86bgIOMl0JUmSRjsHR5UkSRpA1cFRJUmStPoMXZIkSRUYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJD
  lyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5J
  kqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJ
  FRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqGDvUBWins3MH
  envnDnUxhp2Ojsn09MwZ6mIMOzt0djK3t3eoizHsTO7oYE5Pz1AXY1jxXmnPe6W9SZM6mT/f+6Wv
  iRM7mDfP+2V1RGYOzYEjsr9jRwQwNOUa3oKh+n0NZxHh3dJGgPdLH94r7XmvtBcRXH/9UJdi+Nlv
  v9F5v0QEmRlrso8Bmxcj4gURcWNE3BoRv4uILzTzx0XEVRFxV0RcGRGbt2wzJSJmR8SsiDhwTQoo
  SZK0PhgwdGXmn4H9MnMP4C+A/SNib+BU4JrM3AW4DpgCEBG7A0cDuwEHA2dHqbqSJEkatQbVkT4z
  n24mX9Bs8xhwBDC9mT8dOLKZPhyYkZnPZeYcYDaw59oqsCRJ0kg0qNAVEWMi4lagB+jOzJlAR2b2
  AmRmD7Bts/p4YH7L5guaeZIkSaPWoJ5ezMwlwB4RsRlwZUR0sWJP99HXq06SJGmQVmnIiMx8IiJ+
  ArwO6I2IjszsjYhO4MFmtQXAxJbNJjTzVjB16tTnp7u6uujq6lqV4kiSJK0T3d3ddHd3r9V9Djhk
  RERsDSzKzIURsQlwJfA54EDg0cycFhGnAOMy89SmI/2FwF6UZsWrgZ36jg/hkBGrwyEj2nEYgPYc
  BmBF3ivtea+055AR7TlkxOobTE3XdsD05gnEMcAFmXlt08fr4og4DphLeWKRzJwZERcDM4FFwEn9
  pitJkqRRwsFRRxRrutqx9qI9ay9W5L3SnvdKe9Z0tWdN1+rz/16UJEmqwNAlSZJUgaFLkiSpAkOX
  JElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkV
  GLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0
  SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpgmEdug46CGbNgrvugs98ZsXlW24JP/kJ3Hor3H47vO99Zf5GG8ENN8Att8Add8A//dOy
  baZNg5kzyzaXXgqbblrnXLRuXQHsCuwMTGuz/BHgYODVwCuB85v5fwb2AvYAXg6c1rLNZ4Ddmm3e
  CTyxDsotaXi76SY49lh473vhu99dcfnChXDKKXD88XDccXDFFWX+Qw/B3/0dvP/9Zf73vrf8dt//
  fvnMOu44+Na31vlpaJiIzByaA0dkf8eOCCKSu++GAw6A+++Hm2+GY44pAWypz34WNt4YTjsNttqq
  LOvogMWLYZNN4JlnYMwY+MUv4FOfgl/+suzvuusgE844o/x72mltizEMBUP1+xrOIoIdgWuB7YHX
  AzMoIWypzwF/As4AHgZ2AXqBscDTwAuBxcDewJnNv9cA+1O+mZwKRLP9SBHg/dJHROAVWZH3SnsR
  wfbbw5lnwtZbw4c/XD53Jk1ats706fDss3DCCSWAHXtsCVQLF8Kjj8LLXlY+iz70Ifj858u2v/kN
  XHghfPGLsMEGZd3NNx+681xV++03Ou+XiCAzY032MWxruvbcE2bPhnnz4LnnYMYMOOKI5dfp6VlW
  U7XppvDIIyVwQbnJAV7wghK8HnusvL722hK0oNSGTZiw7s9F695OwGRgQ+AY4LI+yzuBJ5vpJ4Gt
  KIELSuCCUuu1BBjXvH4Ly/5A3gDct9ZLLWm4mzABOjth7FjYf//yJb7VuHHw9NNl+umnYbPNSpDa
  cssSuKBUAkyaVGq/AC67DN797rIejKzApTUzbEPX+PEwf/6y1/fdV+a1OuccePnLYcECuO02OPnk
  ZcsiSvNiTw90d5dmyr6OOw5++tN1UnxVNrFlegKwoM/yE4DfUWrCXgWc1bJsCaV5sRPoAnZvs/9/
  ozRPShpdttlm+emlwWmpww6DOXPgqKNKE+NHP7riPnp64J57YPfmzeW++0qXmJNOgk9+cvkWHK3f
  hm3oGowpU0rYGj8e9tgDvvENeNGLyrJMeM1ryreUN72p/LQ67TRYtKh9G73WP2dQwtb9wK3AR4Cn
  mmVjmnn3Af8N/Fefbf+JUoP2N1VKKmkkuegi2HHH0kf4W9+Cs85a1tICZfr000sY22STMm/xYnjy
  STj77NLs+LnPDU3ZVd+wDV0LFizfbj5hQpnXau+94ZJLyvS998If/gC77rr8Ok8+Cf/5n/C61y2b
  9773wSGHwN/4KbremNcyfR/Qp1KUXwB/3UzvCLwEuLPPOpsBhwK/apl3PvAT4KK1VVBJI8qDDy6b
  fuih5Wu+oDys9eY3l+nx40tT5LzmDWnx4hK43vpW2GefZdtsuy3su2+Z3nXX0jKzcOG6OwcNH8M2
  dN18c2kPnzQJNtywdKK//PLl15k1C97yljK97baw884lfG21VWlXh9LR/q1vLR0XoTwR+elPw+GH
  l86PWj/cA8wFnqV0oj+8z/LdKB3joXSgvxt4KaVT/dL3umeAqylPK0J5IvLLwOXAC9ZVwSUNawsW
  lObBRYvKQ1hvfOPyyydNKl1ZoHScv+8+2G678nraNJg8uTQ9ttp77/IEPZRuNIsX269rtBiWTy92
  du5Ab+9cDjroIM466yzGjBnDueeey7Rp0zjxxBPJTM455xy22morzjvvPCZNmkREcMYZZzBjxgxe
  8YpXMH36dCKCMWPGcMEFF3DmmWcCcPfdd7PRRhvxyCOPAHDDDTfwkY98pNp5r4mOjsn09MwZ6mIM
  Ozt0djK3t3eoizHsTO7oYE5Pz1AXY1jxXmnPe6W9SZM6mT/f+6WviRM7mDdv9N0va+PpxWEZuiRJ
  koaT9XrICEmSpPXJgKErIiZExHUR8buI+G1EfLyZPy4iroqIuyLiyojYvGWbKRExOyJmRcSB6/IE
  JEmSRoIBmxcjohPozMzfRMSLgV8DRwAfAB7JzC9FxCnAuMw8NSJ2By6kDAw+gdJ/eae+bYk2L0qS
  pJGiSvNiZvZk5m+a6aeAWZQwdQQwvVltOnBkM304MCMzn8vMOcBsYM81KaQkSdJIt0p9uiJiB8oT
  9TcAHZnZCyWYAds2q40HWsaSZwErDpskSZI0qowdeJWiaVq8FDg5M5+KiL5tg6vcVjh16tTnp7u6
  uujq6lrVXUiSJK113d3ddHd3r9V9DmrIiIgYC/wY+GlmntXMmwV0ZWZv0+/r+szcLSJOBTIzpzXr
  XQGcnpk39tmnfbokSdKIUHPIiH8DZi4NXI3Lgfc30+8DLmuZf0xEbBQRLwFeBty0JoWUJEka6Qbz
  9OLelP8H+LeUJsQETqMEqYuBiZT/geXozHy82WYK8EFgEaU58qo2+7WmS5IkjQiOSC9JklSBI9JL
  kiSNEIYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkV
  GLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0
  SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJD
  lyRJUgWGLkmSpArGDnUB2uns3IHe3rlDXYxhp6NjMj09c4a6GJI0Kkya1Mn8+b1DXYxhZ+LEDubN
  6xnqYoxIkZlDc+CI7O/YEQEMTbmGt2Cofl+SNNpEBNdfP9SlGH72249R+VkUEWRmrMk+BmxejIhz
  I6I3Im5vmTcuIq6KiLsi4sqI2Lxl2ZSImB0RsyLiwDUpnCRJ0vpiMH26zgMO6jPvVOCazNwFuA6Y
  AhARuwNHA7sBBwNnR6m2kiRJGtUGDF2Z+XPgsT6zjwCmN9PTgSOb6cOBGZn5XGbOAWYDe66dokqS
  JI1cq/v04raZ2QuQmT3Ats388cD8lvUWNPMkSZJGtbU1ZMTo61EnSZK0ClZ3yIjeiOjIzN6I6AQe
  bOYvACa2rDehmdfW1KlTn5/u6uqiq6trNYsjSZK09nR3d9Pd3b1W9zmoISMiYgfgR5n5yub1NODR
  zJwWEacA4zLz1KYj/YXAXpRmxauBndqNDeGQEavDISMkqRaHjGjPISNW34A1XRFxEdAFbBUR84DT
  gS8Cl0TEccBcyhOLZObMiLgYmAksAk7qN1lJkiSNIg6OOqJY0yVJtVjT1Z41XavP/3tRkiSpAkOX
  JElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkV
  GLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0
  SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCoZ16DroIJg1C+66Cz7zmRWXf+pTcMst8Otfw+23w6JFsPnmZdlm
  m8HFF8PMmXDHHbDnnmX+614HN95YtrvxRnjta+udjyRpZLnpJjj2WHjve+G7311x+cKFcMopcPzx
  cNxxcMUVZf5DD8Hf/R28//1l/ve+t2yb3/8ePvpR+OAH4e//Hp55psqpaBiIzByaA0dkf8eOCCKS
  u++GAw6A+++Hm2+GY44pAaydQw+FT3wC3vrW8vq88+C//gvOPx822ABe+EJ48km47jo44wy4+mp4
  29tKmNt//3VzjmtfMFS/L0kabSKC7beHM8+ErbeGD38YPvtZmDRp2TrTp8Ozz8IJJ5QAduyx8P3v
  l+lHH4WXvayEqg99CD7/+bLt3/4tnHQSvPKVJaTdf38JZiPFfvsxKj+LIoLMjDXZx7Ct6dpzT5g9
  G+bNg+eegxkz4Igj+l//3e9e9i1k001h331L4AJYvLgELoAHHlhWG7bFFrBgwTo7BUnSCDdhAnR2
  wtix5Qv6L36x/PJx4+Dpp8v000+XVpYNNoAttyyBC2CTTUrYeuih8nr+/BK4oLS2/Pd/1zkXDb1h
  G7rGjy835lL33VfmtbPxxqXWamn17UteAg8/DP/2b6Xp8ZvfLOsAnHoq/Mu/wNy58KUvwZQp6/Y8
  JEkj1zbbLD+9NDgtddhhMGcOHHVUaWL86EdX3EdPD9xzD+y+e3n9kpcsC2/XX18+rzQ6DNvQtSre
  /nb4+c9LdS6UbySveQ184xvlW8TTT5ewBXDuufCxj8HkyfDJT5ZgJknS6rjoIthxR7j0UvjWt+Cs
  s5bvo/XMM3D66SWMbbJJmfeZz8APf1iaK//0p/KZpdFh2IauBQuWbzefMKH/psBjjlm+g+N995Va
  sl//ury+9NISwgD22gsuu6xMf+97yzrYS5LU14MPLpt+6KHla76gPKj15jeX6fHjS1PkvHnl9eLF
  JXC99a2wzz7Ltpk4Eb78ZfjXfy1Nlttvv27PQcPHsA1dN99c2sMnTYINNyzB6vLLV1xvs83KDb80
  SEH5I5k/H3baqbw+4IDyFCOUfmJvelOZ3n9/uPvudXsekqSRa8GC0jy4aFF5EOuNb1x++aRJ5Wl4
  KB3n77sPttuuvJ42rbSqHHXU8ts8/nj5d8kSuOACOPzwdXsOGj6GbaXmkiWlOvaqq2DMmNIseOed
  cOKJkAnnnFPWO/JIuPLKUkXb6uMfhwsvLIHt3nvhAx8o8z/0odLsuNFGZZsTT6x7XpKkkePkk0tz
  4JIlcMghJURdfjlElK4t73lPCVcf/GBZ/0MfKpUBv/0tXHtt6b91wgll/eOPL60r1167rKJg331L
  n2SNDsNyyIjOzh3o7Z1buUTDX0fHZHp65gx1MSRpVJg0qZP583uHuhjDzsSJHcyb1zPUxahubQwZ
  MSxDlyRJ0nAyrMfpioi3RcSdEXF3RJyyro4jSZI0EqyT0BURY4CvAwcBLwfeHRG7rotjrW+6u7uH
  ugjDktelPa/Lirwm7Xld2vO6tOd1WTfWVU3XnsDszJybmYuAGcBKxpPXUt7o7Xld2vO6rMhr0p7X
  pT2vS3tel3VjXYWu8UDLePLc18yTJEkalYbtOF2SJEnrk3Xy9GJEvAGYmplva16fCmRmTmtZx0cX
  JUnSiDEsh4yIiA2Au4ADgAeAm4B3Z+astX4wSZKkEWCdjEifmYsj4qPAVZQmzHMNXJIkaTQbssFR
  JUmSRpMh6Ug/mgdOjYhzI6I3Im5vmTcuIq6KiLsi4sqI2Lxl2ZSImB0RsyLiwKEp9boVERMi4rqI
  +F1E/DYiPt7MH+3X5QURcWNE3Npcmy8080f1dYEyFmBE3BIRlzevvSYRcyLituZ+uamZ53WJ2Dwi
  LmnO83cRsddovy4RsXNzn9zS/LswIj7udYkpzT1ye0RcGBEbrfVrkplVfyhB7x5gMrAh8Btg19rl
  GKofYB/g1cDtLfOmAZ9ppk8BvthM7w7cSmkG3qG5bjHU57AOrkkn8Opm+sWU/oC7jvbr0pzrC5t/
  NwBuAPb2uiTAJ4HvAJc3r70mcC8wrs88rwucD3ygmR4LbO51We76jAHuByaO5utCyST3Ahs1r/8D
  eN/aviZDUdM1qgdOzcyfA4/1mX0EML2Zng4c2UwfDszIzOcycw4wm3L91iuZ2ZOZv2mmnwJmARMY
  5dcFIDOfbiZfQHlzfIxRfl0iYgJwCPDtltmj+po0ghVbL0b1dYmIzYB9M/M8gOZ8FzLKr0sfbwF+
  n5nzGd3X5QngWeBFETEW2ARYwFq+JkMRuhw4dUXbZmYvlAACbNvM73utFrCeX6uI2IFSE3gD0DHa
  r0vTjHYr0AN0Z+ZMvC5fAT4NtHZIHe3XBMr1uDoibo6I45t5o/26vAR4OCLOa5rSvhURL8Tr0upd
  wEXN9Ki9Lpn5GHAmMI9yfgsz8xrW8jVxcNThaVQ+3RARLwYuBU5uarz6XodRd10yc0lm7kGp+ds3
  IroYxdclIg4Fepua0ZWNlzNqrkmLvTPzNZRawI9ExL6M4nulMRZ4DfCN5tr8ETgVrwsAEbEhpcbm
  kmbWqL0uEfFSSreFycD2lBqv97CWr8lQhK4FwKSW1xOaeaNZb0R0AEREJ/BgM38BpZ19qfX2WjXV
  uZcCF2TmZc3sUX9dlsrMJ4CfAK9jdF+XvYHDI+Je4LvA/hH/fzt3r1pFEMZh/HkLRRMEFWtFCXZi
  YyFaWIhB7yApxHgPKWLuwhuwsfYrdiJ2Vn5EDUkQy4AKEXuL8FrMLK79cRac5weHc3Y4xeyfOcu7
  Z2Y2HgLfO84EgMz8Vt/3gaeUqY6exwqUmZS9zHxbjx9RirDecxncAt5l5o963HMul4DXmfkzMw+A
  J8AVZpzJFEXXG2AhIs5ExGFgCdiYoB9TCv6+S98AVurnO8CzUftS3UFxFligPGj2f/QA2MnM+6O2
  rnOJiFPDTpmIOArcoCzc7DaXzFzPzNOZeY5y7XiVmbeB53SaCUBEzNV/iomIeWAR2KLjsQJQp4X2
  IuJ8bboObNN5LiPLlJuXQc+5fAYuR8SRiAjKWNlh1plMtEvgZj3BL8DaFH2Y6kWZO/8K/KLMHd8F
  TgAvayYvgOOj79+j7IrYBRan7v8/yuQqcEDZyboJvK9j5GTnuVyoWWwCH4HV2t51LqNzvcaf3Ytd
  Z0JZuzT8fraG62rvudTzvEi52f8APKbsXjQXmAP2gWOjtq5zoawV3QY+URbNH5p1Jj4cVZIkqQEX
  0kuSJDVg0SVJktSARZckSVIDFl2SJEkNWHRJkiQ1YNElSZLUgEWXJElSAxZdkiRJDfwGJ8B604Me
  6OIAAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f79601db210>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "source": [
      "scores_ordoned={}
  ",
      "for i in glob.glob(\"scores/*DO*.bak\"):
  ",
      "    #if \"MINIAE\" not in i :
  ",
      "     #   continue
  ",
      "    scores={}
  ",
      "    print i[:-4]
  ",
      "    data=shelve.open(i[:-4])
  ",
      "    for key,table in data.iteritems():
  ",
      "        scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)
  ",
      "        if key not in scores_ordoned:
  ",
      "            scores_ordoned[key]=[scores[key]]
  ",
      "        else :
  ",
      "            scores_ordoned[key].append(scores[key])
  ",
      "            
  ",
      "    pandas.DataFrame(zip([x[0] for x in data[\"ASR_H1_TRANSFORMED_W1\"][0] ],[x[0] for x in data[\"ASR_H1_TRANSFORMED_W1\"][1] ])).plot()
  ",
      "    data.close()
  ",
      "    show_network_TRANS(scores,title=i,unite=200)
  ",
      "    #except:
  ",
      "    #    print \"C4EST LA MERDE\",i"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 153,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZIAAAJZCAYAAACDRbMQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3X28XVV95/HPLwZE5cEg5gYSCCAKyhRl1PhAO9wReVAr
  oJ3SQCtBOrUda0WhImFmJG2nVZx2rOOMnSpIkVpTEFuw0hIRU8eHSuRRIIRUSAiBXHmIgDoKSX7z
  x1rXnJyce3PvXffm5iaf9+t1Xjln77XXXvvh7O/ea+97EpmJJEljNW2yGyBJmtoMEklSE4NEktTE
  IJEkNTFIJElNDBJJUpPtGiQRsSkiDt2e85SkiRIRX4uIs7f3tMPUObceZ8d0bB/rMXp7X5H4Ryuj
  FBH/JyL+Y0QsiIgNEfFkfX0/Ij4TES/uKDu4Ew2Wear++6sdZeZFxJcjYn1EPBoR/xIRZ3WM3yci
  /iIiHo6IH0XE7Z3ja5lVEfGTiHgiIh6PiG9ExG9HRPRo/6LaplePcHkX1PJ/1jX8lDr8M13LOq1+
  /qv6+VUd07woIjZ1fN7qixsRB0fExoj43z3asqljHQ7++/vbaP9FEfF0Lbs+Ir4dEb/UMf7YOr/u
  bfSarnr+KiKeiYi+HvVfMVwberTpFyPimxHxw7rN/29EvLKO69yvfhgRt0TEW0bT1h7z67Wej42I
  NR2fL4uIn3XVGx3jXxER342IH0fEsoh4+QiWc3DdP1Ff90TEJyJiVle5be7jU1zLcXZM044qSCLi
  WWOZSWcVjdNPKeOwvgDeBFxX338rM/cG9gHeCPw/4OaIeFlH+QT2ycy9M3Ov+u9VtT2vA74KfA14
  UWbuB/wn4MQ6frc6/kDgNXU+5wMfiYj3dc3jLZm5DzAX+AjwQeDSHu1/B/A94MxRLPP3gdNiy7Oq
  M4EVXeWy6/1jwH8bpkwvZwJ3Ar9Wl7972qO61uWfjqD9i+t2egFlfX6ha/zaWldnvd8ZHBkRzwXe
  DtwN/EaP+kf8ZY+IvYAvAR8HZgCzgT8AftZR7Fu1Dc8HPgNcGRH7jKSto9Td7ou76s3a5t2Avwc+
  Czy//ntNREwfwTwW1/1yX+BtwCzKd6Svo+6R7OO7qjEdo7cZJBFxf0ScHxG3Az+KiAMj4uqI+EGU
  s+Lf6yj76oj4Vj0TW1vPBkay8Tvn9+aIuKueoayJiHPr8GPr54UR8UhE3BcRZ3RMt3tE/GlErK5n
  Gp+MiGdvY14viIgv1fY+FhH/3DFuTsdyPhIR/7MOj4j4L1HOytfVM8e967jBs+SzI2I1ZYclIl5b
  zwjXR8StEXFsx3zOqutx8Crj9I5xvwCsz8yHOtudxf2Z+bvAPwOLuhdtiEX+KHBZZv5pZj5e67o1
  MwfneSYwB/gPmflAZm7MzOuB9wJ/FBF7ds8jM5/KzH8Afg1Y0BlqEfHvgL3r9KePYl9YRwmfwYCb
  AbweuHYb010OHBUdVwAjcCZl/T0GvLVrXNBw8pOZm4DPAftFxH6jmPRXgPuBi4Gzxjr/6iWlKXll
  3W9+lpk3ZOadQ5T/DPAc4EWN823RDzwrM/9nZj6TmZ+gbIc3jLSCuu8up+yXjwDn1VGj2ccBiIhn
  R8QVUa7m1kfEdyLihR1FDo5yVf5kRPxTROzbMe2Q3/2OMrvX8Z3fnf2iXPXvVz//cp1+fZ3XLwyz
  +AH8Zj0Gr42I834+YhTH6ChXsg/U7/GwRnpFMp9yZrwv8HfALcD+wHHAORFxfC23EXhfLfc6yoZ/
  9wjnMegS4LfqGd2/AW7sGDer1n0A5Qv2qdjctXMxcBhwVP13NvChbczrPGAN5cxxJnAhQD0T/gfK
  l/mgWtfiOs07KTvjscChwF7A/+qq998BRwAnRsQBta4/zMwZwO8DV9cQey7lTPHEuryvB27rqOfN
  wJe3sQxfBLoPnL26mJ5D2SZXD1PXG4F/zMyfdg2/GtijTt9TZi4DHuxqy5nA32fmP1OunroP1ENW
  RzkLXVA/z6ecoT69jel+AvxJfW1TDZyZlCu+L3TMb1xExO61zu9n5qOjmHQB8LeUK4nDIuLohmbc
  C2ysJzwnRcTzh2nvdOC3gKeAlQ3z7Fl9j2HvrgfnZRHx9o7hRwJ3dJW9vQ4flRrm17B5vxzLPr6A
  ckI0m3L8+R3K/jzo9FrmhcCzKd9xImI2Q3z3u9r4dJ3/6R2DTwOWZuajdftfStk2+wJ/CVwbW19B
  d+qnnAycCHwwIgZDeETH6Ig4iXIS9LbM/Pow8wFGHiQfr2fFRwH7ZeYf1yRfRTnwzwfIzFsy86Z6
  5vMA8CnKAXc0ngaOjIi9MvOJzOw8sCbwX+tZytcpB9nT6rjfAt5fp/kxpbvldIb3DCUQD6nL8806
  fF4dfn5m/jQzn87Mb9VxZwD/IzNXZ+ZPgIXA/NjcDZPARZn5/zLzZ5SuiS/Xsx4y86vAdykhAWXD
  /kJE7JGZA/UsatBb2NytNZSHKDvFoAAeiXLvYn3993BKt8Y04OFh6tqv1/jM3Ag8WsePqC01uH4V
  uLKOu5rRdW/9PXBsvdo7kxIsI/Ep4KCIOHEEZc8EvlS301XAST2uHG7pWpfHb13NVn4tIh6nBNtv
  UrZjp9m1rs56nwMQEQdRDgJXZeZTwD8xuvW2hVrHLwKbKOvmBxFxTdcZ9etqex+inMGfWqcbtq3b
  8ImO6R6nhGKnjwMvpgT5h4C/itL1CrAn8ERX+ScpJ21j0fkdGcs+/gzlZPMl9dh2a2b+qGP8ZZn5
  /bofXQm8og7/dYb/7nf6PFser86gHMihHNv+T2Z+t87/CkrX5GuHWeZF9dh1J3DZYN0jPEafBvwF
  cFJm3jzMPH5upEHyYP33ILp2LMqBdCZARLw4SlfRwxHxQ+CP2fbBp9uvUL54q6PctOtcWeu7ziRW
  AwfUL8VzKX2hgzvuP1I2/nA+SumPXxIR/xoRH6zDDwRW17OZbgfU+Xa2YTrQeVP0wY73cyn9/Z3r
  7Bhg/xpEv0a5T/FwXXeHQ7khCBwOfIvhzQYe7/icwAsyc9/MnFH/XQGspxxM9h+mrkd7jY9yr2c/
  ShfBSNvydspJwVfr56uAN3efjQ2lbucvA/8F2Dczvz3C6Z4G/qi+hhQRe1CC7qo63W2UbXlGV9Gj
  u9blV0bQjL/NzH0p34s7gd/rGr+21tVZ7+AZ7juAOzNz8IrgC8CvR8P9tsxckZlnZ+ZBlKv8A4A/
  7yjy7dqGmZn5+sz82gjbOpzf65huX+CXu9p0W2auz8xNmfmPlIPm4FXJjyhXAJ32oVwpjUXnfrmt
  fbzXleNngeuBxRHxYERc3LU91nW8/wklCGHo7/4WN/+rrwHPqV1Pc4GXU06mBus5r6ueOZTt2Euy
  5TFo9WDZER6jzwGu7DqpHdZIg2TwJtka4L6uHWufzBzssvgLYDnlRu7zgf/MKPuYM/PmzDyVcpl4
  DZvPaAFmdJ0NHUQ523iUsgGP7Gjb87PcdBtuXj/OzN/PzBcBJwPnRsS/r8t5UPR+hO4hyoYdNJdy
  xjLQWXXH+zXAZ7vW2V6Z+dHahq9k5gmUnWsF5QwByiXpjZnb/HnmtwH/t2vYVuu8fvm/TQnqodwA
  vKnHGed/AH4KDHmTNcpTWQd0tOVMyhnkgxHxMOWKZDpbH6iHcwVwbv13NC6j3KR9+zBl3k45WP1l
  /VI9TPlydndvtdwjeRz4beBdEXHICCd7B/Dijjb9OeWEqNdZ7FjadC/wV5RA2ZEkm9f1XZTej05H
  1eGjEhFB6VId7J7Z1j7+L1s1rPRW/FFmHknpfv5lRnaVONR3/7/3mMcmyrHuDMrVwz/UnpXBev64
  q549M/Nvh5n3gR3vB4+TsO1jdFJOsN4WEe8dwTICo3/89ybgqSg33/eIiGdFxJGx+ZHLvYAnM/Mn
  EXEE5Ux7xCJit4g4IyL2rpeaT1G6fn5eBPiDWu6XKFcuV9aD7aeBPx+8ZI+I2RFxwjbm95aIGLyp
  +BSwgXLWfhPl8vcjEfHcKDfbXl/LfR54f5THRvekJPrijquX7gPPXwNvjYgTImJaXW/HRsQBETEz
  Ik6Ocq/kGcqZ2GA9ve6PRG33tDr/T1AuSxd1lRnq4Hc+cFZEnBf1hmBEvDwiPl/HX0E5k7kqyoMD
  02sX0ccp3XVbnRFGxF4R8ct1vVyRmXdH6Rs+jrJ9XkE5uzqKcgU44vsQWe6tHM/W96A6l7XXdBsp
  6+SDvcZXCyj9zr9Q2/dyShfQKyJi1H3xQ6kH7msp635Qz3bXrp1DgVd3tOlIyrrtPHA9q+6Tg6/d
  h5p/RBweEefWbUJEHEg5UI3oCm+otraKiF+JiOdFcQKlG2jwYYqllPs6vxflRvR7Kd+LG4eobqv2
  1mPTSyn3NvuAj9XxY9nH+yPi39QTyx9Rvqsbu8v1MOR3f4jyn6f0UJwB/E3H8E8DvxMR82p7nhfl
  oaTnDbMO/mtEPKfuy+9k8z3ebR2jgxI6xwHvjYjfGcFyQmYO+wLuA97Q8XlWXciHKU+6fGtwPOWG
  1nJKf+bg00Rf75h2I3DoMPPajdIl9RjwQ8oZ8OvquGOBByhdaY8Aq4AzOqbdnXJQ/36d9i7gPdtY
  tvdRbqg/Veu+sGPcHMqDBY8CPwD+vA4PSnfLA5SrkMspj9tCuTrZCEzrms+rKV+Ox+o0X6r1z6rD
  11MuvW8EDq/TPEy5HzVYxwLKDvxkbe/9lDPvwzvKDM7/yY5yTwLv6yjzKsp9l/V12b4N/EbH+OdT
  zlrWAT+mPD31zq7lub+Oe6LW803KDcio4z8I3NRjfe9P6dt92TDbZEHnPtM17o+Az/Ra13Vd/GFH
  2aht39Ax7EbgbMqV09O92kG5OfrR+n5Txzoc/Pd/bGOfuohyFto5bF5dXzMp+/GGHtvobXW9X9mj
  zldTbu4+v9a/seO1CXhgmPYcQLlx/2Cd1xrgk8CeI1jfQ7Z1G+vgRuDsHnU90PH563Xf+SFwK/Cr
  XeVfTrmf8OP671EjOFZdVPevwbauoJyE7N9VbiT7+HXABfX9fOCeWufDlFCa1mtZu9cnQ3z3h1lP
  KynHt+ldw0+gnOA+Dqyt2/R5Pdo6+L34j7XcQ8B5HfWM+BgNHEz5rp891DoffA1+8Xd4UR6buyJL
  P+9OrXYTfSIzh7uZ1ll+FeWgvgl4JjPnRXlk9m8pO9Yq4LTMfKKWX0g5oG4AzsnMJeO+EJJ2Gf7W
  1o7rolGU3QT0Z+bRmTmvDrsAuCEzD6ec+SwEiPKs+mnASymPdH+y9iNL0phMSpBExJ2x+WcXOn8i
  YVuP645lXgs76u98bevvMyZNZi7L+sjgCAVbb8tTKN1u1H9Pre9PptzT2ZDl8e2VlK6X7SbKz1M8
  1WP7f3J7tmOsIuK6Idp/wSS158Ae+/jg5zkTNM+h5nfMRMyvY7471LpXMWW6tjS0iLiP0te8EfjL
  zLwkItZn+SOowTKPZ+a+9Qb9tzPzb+rwS4DrMvOLk9J4SVPeqH6+RDusYzLz4ShPrC2JiBVs/btG
  njFImhAGyU4gMx+u/z4SEX9P6aoaiIi+zByI8uunP6jF17LlM+Zz6rAtRITBo54y03tq2oI326e4
  KH/nsmd9/zzKY4LfozyTf1YttoDyx53U4fPr8/mHUH6X7KZedW/rkb+xvC666KIJqXci655q9U5k
  3VIvXpFMfX3A39UriOnA5zJzSUR8l/Jz4GdTfiLhNIAsfzB4JeUnyp8B3p0eISQ1MEimuMy8n80/
  Etc5/HHKL532mubDwIcnuGmSdhF2bWm76u/vn3J1T7V6J7puqZuP/6qniLDHS1uJCNKb7eriFYkk
  qYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokk
  qYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokk
  qYlBIklqYpBIkppMn+wGaOqbNetgBgZWT3YzNEZ9fXNZt27VZDdDU1hk5mS3QTugiMiR7hsRAbgf
  TV3BaLZ1ZsYEN0hTjF1bkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkO4GImBYRt0TEtfXzjIhYEhErIuL6iNino+zCiFgZEcsj4oTJa7WknYVB
  snM4B7i74/MFwA2ZeThwI7AQICJeBpwGvBR4E/DJiIjt3FZJOxmDZIqLiDnAm4FLOgafAlxe318O
  nFrfnwwszswNmbkKWAnM205NlbSTMkimvo8BHwCyY1hfZg4AZOY6YGYdPhtY01FubR0mSWM2fbIb
  oLGLiLcAA5l5W0T0D1M0hxk3pEWLFv38fX9/P/39w81CO6OlS5eydOnSyW6GdnCROaZjjHYAEfEn
  wG8AG4DnAHsBfwe8CujPzIGImAV8LTNfGhEXAJmZF9fp/wm4KDO/06PuHOm+UW6zuB9NXcFotnVm
  el9NW7BrawrLzAsz86DMPBSYD9yYme8AvgScVYstAK6p768F5kfE7hFxCHAYcNN2braknYxdWzun
  jwBXRsTZwGrKk1pk5t0RcSXlCa9ngHeP+LJDkoZg15Z6smtrV2LXltrYtSVJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBo3Jx4IixfDitWwPnnbz3+vPPgllvg5pvhjjvg
  mWdgn33KuAsugDvvhNtvh7/+a9htt+3bdkljF5k52W3QDigicqT7RkQQkdx7Lxx3HDz0ECxbBvPn
  l1Dp5S1vgfe9D44/Hg46CL72NTjiiBIuixfDl78MV1wxjgukYQSj2daZGRPcIE0xXpFoXMybBytX
  wgMPwIYNJQxOOWXo8qefDp//fHn/5JPw9NPwvOfBs54Fz31uCSNJU4NBonExezasWbP584MPlmG9
  7LEHnHQSXH11+fzDH8Kf/VkJobVry+evfnXi2yxpfBgk2u7e+lb4xjfgiSfK50MOgfe/H+bOhQMO
  gD33LFcskqYGg0TjYu3acq9j0Jw5ZVgv8+dv7tYCeNWr4JvfhPXrYdMm+OIX4fWvn9j2Sho/BonG
  xbJlcNhhJUx2262ExbXXbl1u773h2GPhmms2D1uxAl77Wnj2s8vn444rT39JmhqmT3YDtHPYtAne
  8x5YsgSmTYNLL4V77oF3vQsy4dOfLuVOPRWuvx5++tPN095xB3z2s+Wx4I0b4dZb4VOfmpzlkDR6
  Pv6rnkbz+O+sWQczMLB6glukidLXN5d161aNqKyP/6oXg0Q9jSZItOswSNSL90gkSU0MEklSE4NE
  ktTEIJEkNTFIJElNDBJJUhODRJLUxCCRJDUxSCRJTQwSSVITg0SS1MQgkSQ1MUgkSU0MEklSE4NE
  ktTEIJEkNTFIJElNDBJJUhODRJLUxCCRJDWZPtkN0NQ3a9bBDAysnuxmaIz6+uaybt2qyW6GprDI
  zMlug3ZAEZEj3TciAnA/mrqC0WzrzIwJbpCmGLu2JElNDBJJUhODRJLUxCCRJDUxSCRJTQwSSVIT
  g0SS1MQgkSQ1MUgkSU0MEklSE4NEktTEIJEkNTFIJElNDBJJUhODRJLUxCCRJDUxSCRJTQwSSVIT
  g0SS1MQgkSQ1MUgkSU0MEklSE4NEktTEIJEkNTFIJElNDBJJUhODRJLUxCCRJDUxSCRJTQwSSVIT
  g0SS1MQgkSQ1MUgkSU0MEklSE4NEktTEIJEkNTFIJElNDBJJUhODRJLUxCCRJDUxSCRJTQwSSVIT
  g0SS1MQgkSQ1MUgkSU0MEklSE4NEktTEIJEkNTFIJElNDJIpLiKeHRHfiYhbI+KuiPiTOnxGRCyJ
  iBURcX1E7NMxzcKIWBkRyyPihMlrvaSdQWTmZLdBjSLiuZn5k4h4FvBN4DzgZOCxzPxoRHwQmJGZ
  F0TEy4DPAa8G5gA3AC/Orh0hIroHDTd/wP1o6gpGs60zMya4QZpivCLZCWTmT+rbZ1O26XrgFODy
  Ovxy4NT6/mRgcWZuyMxVwEpg3vZrraSdjUGyE4iIaRFxK7AOWJqZdwN9mTkAkJnrgJm1+GxgTcfk
  a+swSRqT6ZPdALXLzE3A0RGxN3B9RPSzdV+TfU+SJoRBshPJzCcj4jrgVcBARPRl5kBEzAJ+UIut
  BQ7smGxOHbaVRYsW/fx9f38//f39E9Fs7cCWLl3K0qVLJ7sZ2sF5s32Ki4j9gGcy84mIeA5wPfAH
  wAnA45l58RA3219D6dL6Ct5s38V5s11tvCKZ+vYHLo9yNJ8GXJGZX633TK6MiLOB1cBpAJl5d0Rc
  CdwNPAO8e8SJIUk9eEWinrwi2ZV4RaI2PrUlSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKk
  JgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKk
  JgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKk
  JgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKk
  JgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqcn0yW6Apr6+vrkMDMRk
  N0Nj1Nc3d7KboCkuMnOy26AdUESk+4a6RQSZ6VmDtmDXliSpiUEiSWpikEiSmhgkkqQmBokkqYlB
  IklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlB
  IklqYpBIkpoYJJKkJtMnuwGa+mbNOpiBgdWT3QyNUV/fXNatWzXZzdAUFpk52W3QDigicqT7RkQA
  7kdTVzCabZ2ZMcEN0hRj15YkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSp
  iUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSp
  iUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJFNcRMyJiBsj4q6I+F5EvLcOnxERSyJiRURc
  HxH7dEyzMCJWRsTyiDhh8lovaWcQmTnZbVCDiJgFzMrM2yJiT+Bm4BTgncBjmfnRiPggMCMzL4iI
  lwGfA14NzAFuAF6cXTtCRHQPGq4NgPvR1BWMZltnZkxwgzTFeEUyxWXmusy8rb7/EbCcEhCnAJfX
  YpcDp9b3JwOLM3NDZq4CVgLztmujJe1UDJKdSEQcDLwC+BegLzMHoIQNMLMWmw2s6ZhsbR0mSWNi
  kOwkarfWF4Bz6pVJd1+FfU+SJsT0yW6A2kXEdEqIXJGZ19TBAxHRl5kD9T7KD+rwtcCBHZPPqcO2
  smjRop+/7+/vp7+/f5xbrh3d0qVLWbp06WQ3Qzs4b7bvBCLis8CjmXlux7CLgccz8+Ihbra/htKl
  9RW82b6L82a72hgkU1xEHAN8Hfge5WiewIXATcCVlKuP1cBpmfnDOs1C4DeBZyhdYUt61GuQ7DIM
  ErUxSNSTQbIrMUjUxpvtkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYG
  iSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQaJxc+KJsHw5rFgB55+/
  9fh994XrroNbb4U77oAFC0Y+7bnnwsaNMGPGxLVf0thEZk52G7QDiogc6b4REUQk994Lxx0HDz0E
  y5bB/PklGAZ96EOwxx5w4YXwgheUcX19sGkTw047ezZccgkcfji88pWwfv0ELPAuLRjNts7MmOAG
  aYrxikTjYt48WLkSHngANmyAxYvhlFO2LLNuHey1V3m/117w2GPlKmNb037sY/CBD2y/ZZE0OgaJ
  xsXs2bBmzebPDz5YhnX69KfhyCNh7Vq4/XY455xtT/vWt5Zxd945se2XNHbTJ7sB2nUsXFgC5A1v
  gEMPha98BY46aujyg91gxx+/eVjYqSLtcLwi0bhYuxYOOmjz5zlzyrBOxxwDV11V3t93H9x/Pxxx
  xNDTvuhFcPDBJXzuu68Mv/lmeOELJ3xxJI2CQaJxsWwZHHZYCYTddis3y6+9dssyy5fDG99Y3s+c
  CS95SQmIoaa96y7Yf/8SKIceWrq8jj4aHnlk+y+fpKHZtaVxsWkTvOc9sGQJTJsGl14K99wD73oX
  ZJb7Ix/kQzyaAAAKF0lEQVT+MFx2Gdx2W+miOv/8zU9g9Zq2W6ZdW9KOyMd/1dNoHv+dNetgBgZW
  T3CLNFH6+uaybt2qEZX18V/1YpCop9EEiXYdBol68R6JJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEi
  SWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEi
  SWpikEiSmhgkkqQm0ye7AZr6Zs06mIGB1ZPdDI1RX99c1q1bNdnN0BQWmTnZbdAOKCJypPtGRADu
  R1NXMJptnZkxwQ3SFGPXliSpiUEiSWpikEiSmhgkkqQmBokkqYlBMsVFxKURMRARd3QMmxERSyJi
  RURcHxH7dIxbGBErI2J5RJwwOa2WtDMxSKa+y4ATu4ZdANyQmYcDNwILASLiZcBpwEuBNwGfjPLs
  riSNmUEyxWXmN4D1XYNPAS6v7y8HTq3vTwYWZ+aGzFwFrATmbY92Stp5GSQ7p5mZOQCQmeuAmXX4
  bGBNR7m1dZgkjZk/kbJrGNOfnS9atOjn7/v7++nv7x+n5miqWLp0KUuXLp3sZmgH50+k7AQiYi7w
  pcw8qn5eDvRn5kBEzAK+lpkvjYgLgMzMi2u5fwIuyszv9KjTn0jZZfgTKWpj19bOIepr0LXAWfX9
  AuCajuHzI2L3iDgEOAy4aXs1UtLOya6tKS4i/gboB14QEQ8AFwEfAa6KiLOB1ZQntcjMuyPiSuBu
  4Bng3SO+7JCkIdi1pZ7s2tqV2LWlNnZtSZKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlB
  IklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlB
  IklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlB
  IklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlB
  IklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlB
  IklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlB
  IklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlB
  IklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikGjcnHgiLF8OK1bA+edv
  PX7ffeG66+DWW+GOO2DBgpFPe+65sHEjzJgxce2XNDaRmZPdBu2AIiJHum9EBBHJvffCccfBQw/B
  smUwf34JhkEf+hDssQdceCG84AVlXF8fbNrEsNPOng2XXAKHHw6vfCWsXz8BC7xLC0azrTMzJrhB
  mmK8ItG4mDcPVq6EBx6ADRtg8WI45ZQty6xbB3vtVd7vtRc89li5ytjWtB/7GHzgA9tvWSSNjkGi
  cTF7NqxZs/nzgw+WYZ0+/Wk48khYuxZuvx3OOWfb0771rWXcnXdObPsljd30yW6Adh0LF5YAecMb
  4NBD4StfgaOOGrr8YDfY8cdvHhZ2qkg7HK9INC7WroWDDtr8ec6cMqzTMcfAVVeV9/fdB/ffD0cc
  MfS0L3oRHHxwCZ/77ivDb74ZXvjCCV8cSaNgkGhcLFsGhx1WAmG33crN8muv3bLM8uXwxjeW9zNn
  wkteUgJiqGnvugv2378EyqGHli6vo4+GRx7Z/ssnaWh2bWlcbNoE73kPLFkC06bBpZfCPffAu94F
  meX+yIc/DJddBrfdVrqozj9/8xNYvabtlmnXlrQj8vFf9TSax39nzTqYgYHVE9wiTZS+vrmsW7dq
  RGV9/Fe9GCTqaTRBol2HQaJevEciSWpikEiSmhgkkqQmBokkqYlBsguKiJMi4p6IuDciPjjZ7ZE0
  tRkku5iImAb8L+BE4Ejg9Ig4YnvNf+nSpVOu7qlW70TXLXUzSHY984CVmbk6M58BFgOnbGOacTMV
  D55Trd6JrlvqZpDsemYDHb+1y4N1mCSNiUEiSWriX7bvYiLitcCizDypfr4AyMy8uKucO4Z68i/b
  1c0g2cVExLOAFcBxwMPATcDpmbl8Uhsmacry1393MZm5MSLeAyyhdG1eaohIauEViSSpiTfbtZXx
  +oPFiJgTETdGxF0R8b2IeG8dPiMilkTEioi4PiL2GWP90yLiloi4dpzr3SciroqI5bXtrxmPuiNi
  Ya3vjoj4XETsPpZ6I+LSiBiIiDs6hg1ZT53vyro8J4yh7o/WaW+LiKsjYu+x1K2dl0GiLYzzHyxu
  AM7NzCOB1wG/W+u6ALghMw8HbgQWjrH+c4C7Oz6PV70fB67LzJcCLwfuaa07IuYCvwUcnZlHUbqV
  Tx9jvZdRtk+nnvVExMuA04CXAm8CPhkx7H8P1qvuJcCRmfkKYGVD3dpJGSTqNm5/sJiZ6zLztvr+
  R8ByYE6t7/Ja7HLg1NHWHRFzgDcDl3QMHo969wZ+KTMvq+3ekJlPjEPdTwJPA8+LiOnAc4C1Y6k3
  M78BrO8aPFQ9JwOL63KsogTBvNHUnZk3ZOam+vFfKNtw1HVr52WQqNuE/MFiRBwMvIJyIOrLzAEo
  YQPMHEOVHwM+AHTe5BuPeg8BHo2Iy2q32aci4rmtdWfmeuDPgAcoAfJEZt4wTm0GmDlEPd3bcy1t
  2/Ns4LoJqltTlEGiCRcRewJfAM6pVybdT3iM6omPiHgLMFCvdobrShnLkyTTgX8L/O/M/LfAjynd
  Rq1tPhR4PzAXOIByZfLrrfUOY9yfoomI/ww8k5mfH++6NbUZJOq2Fjio4/OcOmxMajfOF4ArMvOa
  OnggIvrq+FnAD0ZZ7THAyRFxH/B54A0RcQWwrrFeKFdgazLzu/Xz1ZRgaW3zq4BvZubjmbkR+Dvg
  9eNQ76Ch6lkLHNhRbkzbMyLOonQlntExeFzq1tRnkKjbMuCwiJgbEbsD84FrG+r7DHB3Zn68Y9i1
  wFn1/QLgmu6JhpOZF2bmQZl5aG3fjZn5DuBLLfXWugeANRHxkjroOOCu1jZT/gj0tRGxR70hfRzl
  QYGx1htseTU2VD3XAvPrE2KHAIdR/gh1xHVHxEmUbsSTM/NnXfMcbd3aGWWmL19bvICTKAe+lcAF
  DfUcA2wEbgNuBW6pde8L3FDnsQR4fsM8jgWure/HpV7Kk1rLaru/COwzHnVTDsZ3AXdQbojvNpZ6
  gb8BHgJ+Rrnn8k5gxlD1UJ6y+lfKww4njKHulcDquv1uAT45lrp97bwv/yBRktTEri1JUhODRJLU
  xCCRJDUxSCRJTQwSSVITg0SS1MQgkSQ1MUgkSU3+P1aGx8uCFGqFAAAAAElFTkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f7962573290>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEACAYAAABI5zaHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzsnXd4VFX6x78njfQQQnqoIYEkdBIIYolIUywrFkBZwbK0
  dVf0Zy8Lurquu66KUkVXXQsI2FCUXqQFE0pAEggppJOE9EASksz5/XFyZu7M3Jm5M7lJJsP5PE8e
  mNvmzJ073/Oe933PewilFAKBQCBwLJy6ugECgUAgUB8h7gKBQOCACHEXCAQCB0SIu0AgEDggQtwF
  AoHAARHiLhAIBA6IInEnhEwjhJwlhGQSQp6T2d+TEPItISSNEJJMCIlVeq5AIBAI1IdYynMnhDgB
  yARwC4BiACkAZlFKz0qO+ReAOkrp3wkhgwGspJROUnKuQCAQCNRHieU+FsB5SmkepbQZwAYAdxkc
  EwtgDwBQSs8B6E8ICVR4rkAgEAhURom4hwMokLwubNsmJQ3ADAAghIwF0BdAhMJzBQKBQKAyagVU
  /wnAnxByHMCfAZwA0KrStQUCgUBgJS4KjikCs8Q5EW3btFBK6wA8wl8TQnIB5ADwtHSu5BxR5EYg
  EAishFJK5LYrsdxTAAwihPQjhLgBmAVgi/QAQogfIcS17f9/ArCfUlqv5FyDRnarv6VLl3Z5Gxy5
  vaLNos2izeb/zGHRcqeUthJCHgewA6wz+JhSmkEIWcB20w8BxAD4jBCiAXAGwKPmzrX0ngKBQCBo
  H0rcMqCUbgMw2GDbWsn/kw33mztXIBAIBB2LmKHaDpKSkrq6CVbR3doLiDZ3FqLNnUNnttniJKbO
  ghBC7aUtAoFA0B0ghIC2I6AqEAgE3ZL+/fuDENLt//r372/1ZxeWu0AgcFjaLNuubka7MfU5hOUu
  EAgE1xhC3AUCgcABEeIuEAgEDogQd4FAIHBAhLgLBAJBF1FVVYW7774b3t7eGDBgANavX6/atRXN
  UBUIBAKB+ixevBju7u4oLy/H8ePHMX36dIwcORIxMTHtvrZIhRQIBA6LPadCXrlyBf7+/khPT0dk
  ZCQAYO7cuQgPD8c//vEPvWNFKqRAIBB0EzIzM+Hq6qoVdgAYMWIEzpw5o8r1hVtGIBBcsxBZm9d6
  bBkc1NfXw9fXV2+br68v6urqVGmTEHeBQHDN0pUeG29vb9TW1uptq6mpgY+PjyrXF24ZgUAg6AKi
  o6PR0tKC7Oxs7ba0tDTExcWpcn0RUBUIBA6LPQdUAeCBBx4AIQTr1q3D8ePHcccdd+Dw4cNG2TIi
  oCoQCATdiJUrV+LKlSsICgrCnDlzsGbNGlXSIAFhuQsEAgfG3i13pQjLXSAQCAQAhLgLBAKBQyLE
  XSAQCBwQIe4CgUDggAhxFwgEAgfkmhD3CxeAv/61q1uhPmlpwMsvd3UrBAKBPXJNiHtaGrBtW1e3
  Qn0OHQJ27erqVggEAnvkmhD3wkKgoqKrW6E+mZmO+bkEAkH7uWbEvaoKaG3t6paoy/nzQtwFAoE8
  14y4UwpUV3d1S9QlM5N9JkfrtASCa4GVK1ciISEB7u7ueOSRR1S/vkOJ+xNPAI2NxtsLCti/3dHK
  bW0FZswAbrkFmDKFBYcBoLkZyM8HvLzYqESgjP/7P8DWctklJcCyZeaPuXTJ/oPcy5cDKq0HoUdO
  DmCwgJDADOHh4XjllVfw6KOPdsj1HUbcW1qA998Hjh833ldYCPTsCVRWdn672ktJCXDgAPDii4Cb
  G7BjB9uemwuEhwMhId3zc3UFlZXAO+8Ap0/bdv7y5cAbbwBXrpg+JjUVWLvWtut3BpQC//wn8Prr
  6l/7p5/Y/XWAUi6dwh/+8Afceeed6NWrV4dc32HEnVuvycn62yll4j5iRPe03AsLgQEDmOV+++3A
  kSNs+/nzQHQ0EBDQPT9XV/Dbb+zfzEzrz718GfjoIyAsDDh2zPRxmZnMepcbQdoD+fls1Ld9u25E
  qxbJyexZzMpS97oC23CYlZi4wBmKe0UF4OkJ9OnTPUWwsJC1HQDGj2fWI8BEJCqKDYW74+fqCpKT
  AQ8P1jFay//+B1x/PdCvH7vODTfIH8evXVQESJbGtBuSk3WfY+VKZsWree3hw9m/UVHqXbcjIa+q
  s84eXWp/wxWHEvegIJ1lyyksBCIigF69uqcI8vYDQFwce11ZyUQkJoYFVLvj5+oKjhwB7r7bestd
  owHeew/48EPmJtu40fSxmZmAkxP7nuxV3MePB+69Fxg3DnjlFRa3aS+lpWz0/Oc/s/v8xz+2/5qd
  gT2Kslo4jFumogKIj2fD4cJC3XYujra4Lz77DCguVred1lJQoBN3Fxf2GX/7TWe5BwTo+9xXrWIC
  1Jn8/LN5V4WabN5sm89cowGOHmWio1Tc169nx999NxPAG28EEhOZeJnyK2dmAqNH67s8NmywH1fF
  kSPsM0RGstHHF1+oc93kZNZZXHed8ejZEuvWAWVl6rQDYBP7jh5V73rdFYcR98pKJnSJifoPV0EB
  c2sYiqAlSkuB+fOBb75Rv63WILXcAWZ1JSeb9rn/5z/Au+92bhs//hj49tuOf5/GRmDxYmD3buvP
  PXuW3asJE5jQajSWz/n0U+Zjv/deYNMmgBDmzgCY79qQpibWsV5/vb6B8f77wJ491rdZbZqaWMcY
  H89e33wz8Pvv6lz7yBH2bI4eDZw7x2IUSvnPf4ATJ9RpB8BGVj/8oN71OorW1lY0NjaitbUVLS0t
  aGpqQquKec0OI+4VFfLibqvlvmYN4O9vvRWiNobinpgI7N3LOp++ffU/F6XM1/vf/wL19Z3XxsxM
  24KU1vLVV0B5uW3ZQcnJ7N75+AC+vspGZIWFwJw5zHrnLhZCjJ8xTnY2E/8BA/TFPTNT/3VXceIE
  MHiwzg1jrcFjDn5/e/QAhg1jWUNK4AkParoWKyvt435b4vXXX4enpyfeeustfPnll/D09MQbb7yh
  2vUViTshZBoh5CwhJJMQ8pzM/gBCyC+EkJOEkNOEkHmSfRcIIWmEkBOEkN9Ua7kBXNy5ZcuxRdwb
  G4HVq1nAyR7EnQdUAfYDOnCACYiLi/7nunSJ/XBvuolZnZ2BRsMs4Y4Wd0qZ3/uOO2wTAu5rBtiI
  R0lQ1fDec0yJ+/nzzFUWEaETl8pK1l57EBvukuGoFYdqaWFuuXHj2GtT90eO6mpm5asp7vZyvy2x
  dOlSaDQatLa2av/+9re/qXZ9i+JOCHECsALAVABxAGYTQoYYHPY4gJOU0pEAbgbwH0IID9ZqACRR
  SkdRSseq1nIDuLgnJDAL5epVtt2WgOr69cDIkczXWlGhrj/QGlpb2TA/LEy3LSiICTvPRpB+Lu6f
  f/JJllWjxPXQXgoLAXd35a4OW9m9m11/5kzbhEAqbFFRljuj2lp2//38jPeNH28cuAfYNaOj9cWd
  dyJqpx3agrSDA9RLoz19mnWCPXuy14YGljn4fVJb3O3hfnc1Siz3sQDOU0rzKKXNADYAuMvgmIsA
  fNr+7wOgglLa0vaaKHyfdlFZyYTOx4cNobkPz5LlfuqULv+Zs3w5E0gnJ2aN8Ae1shLYulX/2B9+
  YBazLWg0LHfaFGVl7DO5uelvT0xkIgLoD635Z50wgf3QHn0UeO659vkfk5OBjAzT+zMz2RwCU66O
  L74wP+lHjvx842qXy5cDS5YAvXtbFoK9e1mKKKe2lk36Gj6cvY6Otizu/F4SmUy5MWOYoDU06G+X
  Wu5cXDIzmZuiqy1JSo0td7XEnbtkOImJwP797NmT/pmaYAh0jOV+rU+mUiK64QCk/WBh2zYp6wDE
  EUKKAaQBeEKyjwLYSQhJIYT8qT2NNQe33AHgzjtZXjKlOmvW1IO8YgUL6HAKC5nfesoU9lpqpf3n
  P8Bjj+k/NEuWAN9/b1ubf/4Z+NOfmPjIYehv57z4IrBgAfu/9HNxNwIhwCefAEOGMN/7v/9tW/sA
  5p4yl1HBA7tyro6cHOChh4w7T0ts28ZS9DhNTSwgOXOmMj/x0qUs04nz22/AqFG6TjIqyrJbxtS9
  B5jr64YbgK+/1t/OLffgYJYW2NTE3ueWW9hz2JVis28fa/egQbptavncz51jabqcvn2BN99khgn/
  y8xkz6QhhYVs7oGas6wrK9lv4Fqfua1WnvsLANIopTcTQiLBxHw4pbQewARKaQkhJLBtewal9KDc
  RZZJCnckJSUhKSlJcQOk4r54MXvYnnoKcHVl1jylbGZeYyNzI3CSk/ULih09yiwPbrElJgJvvcWs
  zw8/ZOcXFLAH+OJFVuslOZmJvrXwrJaiImb5GiJNg5Qi/SEZijs/fuhQ9peby7IibKWw0NhClcIF
  TaNh/5e+1/vvs9HP+fOAFV8lKiuZldfUxAJ0aWlMkH18LFubzc0smOfhodtmaFlaY7mbYskS4Pnn
  gblzdc8KvxfOzkBoKBvJZGaymcUff8w6cTk3T2fw7ruszdKRiK8v83e3tLD4ja0UFrIUSA4hOuOD
  s3Ur8MEH8ucOHaqe5X7lCvutDxrU9aOljmDfvn3Yt2+fomOVfKVFAPpKXke0bZMyAcAbAEApzSaE
  5AIYAiCVUlrStr2cEPIdmJvHorhbi1Tcw8LYD2rZMl1AjBBmQVRW6nzYtbXMuuzRgwlseLjx0HXc
  OCYWn37Ktjs7s2P69mWiwc+xllOnmLvjhhuYiMfEGB9jKqAnxctL12kVFgITJ+rvDwtjfvvWVtZ2
  aykoMP/Dy8xkws3FnVNby0ZPCxZYH2ytqGAxkxMndHnl/DuxFDs5dYodc/Qoa5OTE/uepEX3IiNZ
  p2xO1Czd+6lTmfGwbx/r0OrrmZEQ3jam5X53PrLhr7tC3M+fZ/dgwwb97U5OuppLQUG2X5+nG5vD
  VIdaUMDiW2qlQnId6NPHMcXd0Oh99dVXTR6rxC2TAmAQIaQfIcQNwCwAWwyOyQAwCQAIIcEAogHk
  EEI8CSHebdu9AEwBoFJmrT5ScQeYlfLll/rWl6HVl5LChuvjx+smPRgGnfz92TVefpn54aWZAFw0
  8vKsLyf83ntsNt/AgaYfQkvWI8A6Lf655I7v0YP9gG0JCvM0taws0y4FLl6Gro6PP2YCOHGi9dP9
  KyoAb2/9+8y/E19f1pHxgLkhycnArbcy3/zZs6zdhpa7uzsruJaXZ7oNpkZNHELYM8ZHX+fPM2vR
  qe0Xxf3ufLKZ1A/f2bz/PnP/eXoa71PD767kOe3fn41kmpqMz1Wz7pNU3K/1oKpFcaeUtoJlw+wA
  cAbABkppBiFkASFkftthbwKIJ4SkAdgJ4FlKaSWAYAAHCSEnACQD+JFSukPtD9HQwH7E0od3zBg2
  mcScuPMfPbcOr14FTp5kGTdSEhPZw3LzzfqZALxOx5gxrKNQSlkZ8N13zKo1Z2Eo+dHwz8Vze+WO
  l2ZvyFFVJT+jr6qK+am9veWDpbzs8MCB+pZZaysTlCefNG2xaTTAL7/It6eiApg8Wf8+c3HmIzD+
  Pba26i+hKP1Ok5NZx+TpqZ9xBDDBPXdO9/rqVeCgZDyp5N7PmcOem7feYjODpfVUIiJYeqC7u85A
  MPcdHDrEgsbLl7PRh7X8/LN8B1xdzYycP/9Z/jzD38SXX7I2rFxpOha0bZvuvZqb2dyDkBDz7XN1
  ZaNdaaAbYPdk+HDb/eOUAjt36l5XVLDng9/vfv36gRDS7f/68dlzVqAoi4VSuo1SOphSGkUp/Wfb
  trWU0g/b/n+JUnoHpXQEpXQ4pXR92/ZcSunItjTIYfxcteFfqGFmw7vvAvPm6V4bPsh8uM8FOy2N
  CZWPj/51lixhU6QJYbP7Tp1ivspjx4CxY3Wdg1K4X793b/M/emvE3ZTlDlgWlvXrmf/Y1PubEujc
  XCaaPXrouzp++IH5nMeOZdtzcowXFMnIAG67TV9gORUVbN+RIyyuUVOjL5zSQCC/DhcN/p3y74TP
  nDTkxhv1A+Gffw5Mm8baL/3s5vD0ZBPGiovZ/xct0u2LiGBBYJ7VZMlNsGwZyzDZvRv4+9/Nv68h
  x44B06czkTVk9272+Q07N470XjY0AA8/zO7lV1/pJxpwiorYyIj/ji5eBAIDmXhbQi6QXVjIYkjc
  928tFRVshNjczF7zmer8mb9w4QLS0ykAiqoqCkq7598FvpCDFTjEDFVDlwyHW+8c6YPMh+vjx+ty
  43/9VV4IRoxgQgUwH3d0NPMn9+3LXB7W5PUCzHIPDWX/V0vcMzOZyHp7G++3JCxHjsjv5+9vKruE
  u2QAfVfHu+8yqx1gohcUZDxdn1/v/feNr1tZycS5vp6VNUhM1Lk7+OeVBpEpZcG68nKWlhoTo/tO
  DF0ynAULWEmBS5d0E6RaW3XT8ZXEOwA2qYpb3JMm6bZHRLBRIO+ULHWwZWUsQ+jdd62P4bz3nu4a
  hhw5oh/sNEQ6CuKfefly5lZbs8a4dDF/zvn3p/QZBYyNhNpaNoLz97d9vYXKSvb98XpKXAuk95vf
  z2ut3oxDi7sh0gc5O1s3XPf1ZROD1q2TFwJDeOldfuy4cezBUZrqVlqqC2CZ+tFrNMwiDDdMOjXx
  udLSTP/ILPl7k5Pl84ItWe7cn8yJimIWX34+mwAm3W54fmYmMHs2O97wR11RwUY1iYlM/A2/E8OJ
  W5MmsdTHHTtYJ+zkxIb6ublsyC7XYQcFsRWu1q5l1i2lLNUyOZl1Kk1NTHRshXcMvPOzJO6lpSyF
  cuBA9t5Kg4HFxWyRjJEj2TUMMYwhGWIq22rIEGYcffWV8fUA3feptBMEjJ8jHoiVxo2sRfoc8NeG
  4p6czJ6nrp5t3tk4hLjzoZglpA+QYVbM+PHMRaBE3BMT9Y8NDWWuHKVZIWVl7IcMmBbe8nLW6UjT
  Nk0REGBZ3E2JxaVLrD09ehiLLA8qKrHcAfb/N98E/vIX/SwUuRz48+eZa+SOO1inyqFUNyHN8D5L
  P69UkMaPZ/MSnnlGd6yrKwuW5+ezf+VYsoT5lv/1L/Z/XtGwqMj0BCal8O9CKu6mOliNhn2ewED2
  ntaMBFeuBB58kNWMMbTcTcWQpJgSd4CNvt57T7/T57XspTNvlVruhs+R9P3aK+7SyVBSceeTtxYu
  FOLeLVFquUsfIEOLJjGRDQ0HD7Z8HX6e9HxzP8iMDP3sDqnl3qsXs9R4oa/CQuYu+Pxz5T+agAAW
  B7BF3JOTmbXbt6/xMUosd6m4R0Uxq9kw51/ufH7uk0+yiWTcZ1pbyzo0NzfdfANes0T6eQ1dCU8+
  yYbmht/JqFGs45Jj2DAgNpa55B58UOent0awTBESwu6FErdMRQXryLnf2lQMJzNTf7bvlSusY3zi
  CfY8GVrupmJIUsyJ+6RJrOPhVTh5euqDD+pb7ra6ZaTn8jRlU5w6xX4Xmzbpf045cecz1Z2dWeee
  m8vccDw99lrhmhT35mYW9JP6SG+7jc1sdFJwRwYNYrNEpbnp5oKqM2boT6eXWu6EsAe8qG3mwKuv
  Am+/zR5EpQuiBwSwRZ9tFffERPljuHBGRrIfiDTgRSmbgh8bq9s2dSpzV/EaIxw5twyfqj9qFBM2
  7uuWfpfXXcfuh2FuuFzJhXHjWNaKdIWk2bN1vn9TvPUW61w8PFhgr6TE/ChIKS4uLEg6pK0KU8+e
  7P7JZaCUlennmZsqvPWnP+m7SfbuZW2OimLPk6HlbsklA+iLqmG+umG656lTzH05Zoxt4h4RwTKw
  pIaMEsu9vp6l1H79NXse1qzR7auoYPdaWqiNPz99+rCYzahR7H169uyc6qX2gsOIu5I1ZrkobNrE
  fhDDhun2hYSwB1kJhLCFkqWTgkz9IKuqWL61VDilljtg7B9cuZK18fHHlbVH+jDLwTsPOauFC4Ap
  cY+IYMIXHKwfFM3NZT8q6Q87JobVszHE0C1TV6c/4ad/f/kfp5eXfhkC6eeVszaffVY/oDxqFPOj
  m2PMGN0xzs7MhfHtt8r9yOZ45RXdqIEQdk3eiUvh/nZOQgJzpxjm8mdm6j9jPBUXkLfcTQWTpZiz
  3AFmpaemMvcYf1aionRzH6zxuTs5MUOBL1yiVNw/+4xVOt28mblXpJ+zspJ1oIZuGYBde/Nm3T2w
  plqlI+Aw4m5NQFWazaEWo0YxATOso87rqkiFU2q5Azph5QWuRoyw7r15x2bKgnJ3Z9axYYGz1lbW
  vnHjjH3C0ro8gPGQmv/QlfileX1zLlZZWToXDm+33I/T3Oc1J0jtITEROHxY3WtyTI2gDJ8HHx82
  Ojx5Uretro6lHRqKOxcuOcvdMK4khyVx9/BgLo3ly3XX8/PTzX2w9v5L/e7SkYIpcddodIX85D5n
  RQX7vZgS98OHdaMXa1OWuzsOIe7WBFTPnWNW4+23q9sGNzf2kBlOZjpyhD2Q/OFraWHWvLS9XFh5
  gSslOcNSpA+zKeQCeunpbMRimF0AsNxyQnQ1bwyDYUqEg2M4gcUwy0aaqqlE3LkQ1Nay+2noBmoP
  /DN1prgbjuR4O6RCztfMvXCBfTfSjhlgz5jUouVrmlqKIVkSd4DValq/nrmBpGWTz55lHQ5P61WC
  1EhQ4nPfupU9gxMmsNeGIxQu7tJsGUNjh7fZ2pTl7o5DiLs1PneNhgWglPjWrUVu2JeczHzu/Ed9
  6RJLsZNmk/AfvZJhtBxKxZ23oaCAzYj8+mudVWOYC29Y8lbOcremrdLzDQOxhpa7JRebdNIWT6VT
  i44Wd7mMGUPLHTAWovPnWXxj9Ggm6hkZ7Jzevdn+oCB9i/boUSb8lp5zPgpqbGSdhlyNmZAQVmn1
  yhVdDCE6ms0LCQgwLkltjuhoZhgcOqQ/MjRlub/3HrPa+XcsZ7kPHcq2Xb3KDDepuPftq5vANWIE
  GzXW1enO12i6b/VIS5O+rilxd3NjPmHprFU1MfxB8kWZ771XJ15yP2QurEoCYHL07s2CbXKVJTlc
  QBsa2CzbZ55hltj99+vv5xj6UseMYTMuKWXXSE9n25QyerQu64IHU6Vt46KnZBRmqdxCewgMZDNN
  pe1Ti7g4/RIHHFOWu9SFwDtEU5OzuEXL0xaPH9etlWoOT08mnOfPMxE01Rm88AJ7Zvj+qCj2/Fh7
  /ydMYJ3Is8+ygnN8LoGcuKelsZH2fffptslZ7ryTO3eOxWmkWUfSsgtubmw+gHR0/cUXLAjfHWu/
  W1r/9poSd4AtjiE3i1MN+A+SPyjnzrGHd8wYXT1vuR8yFzdbLXcXF1aO2By8A/nyS/ajP3yYWU/T
  p+vaIJ3IZCic11/PAo67drHp7rGx+mV1LTF/PkvvrK21bLkr9bmrkbIox6pVHfOMzJjBMozOnNHf
  bhhQBdj9qalhbg9A58qSllWQPiteXuz74TGfzExlab2A5XkSALPYX3pJv33JydYHngcPZstEHjrE
  Mta4RS4n7ry4nnRk4O/PRhC8ABk3Bvr0YZ9B+uwMHco6ESmGBtihQ8xQ2aF6xauOx1L8oNuLu0bD
  fIvtmU2oFhERzGrIzWWvuVhzi7q2Vt5yj4hgvbBcgSs121ZQoBvmGsLzgnl1S0Nxl6bF2dIJ9enD
  Jhp9/LHx5Cdpx6JE3N3d2X0+e7ZjxL2j6NGDjQqWL9ffbpgKCehWAeNT5vk9S0xk2+RiHlK/u2EH
  ag4l4m5IdDRLKVbr/hsuHHLxIqv9M3++/nGEsNEVd81IJy0Zirschq7T5GT2nfASDt0JS/GDbi/u
  tbX6Q7GuxHB2oTSjhFvOcpZ7797M+rbFJaOUiAjgxx+ZaNxyi+ljuAUt5/J44AFmtX/xhW1tffJJ
  Nhu0tVXnKwaYldyjB+ukrYmfqJGP3tksXKiracORs9wBfdcMt9z5bOi8PN2ygRzud6fUOGhtDlvu
  ZWQk+1et+29Yp3/NGt3KW4bwTqyxkfmdvbx04m4pXiMdXdfVMR/8W2+xyVnmlpO0RxxW3JubmYV8
  6pRyl0xnkJjIXBe5ucy/Kg3QFRbKW+58IpMtLhmlRESwjtBwNR4p0qCqnMvD3Z2JU1qabW0dN46l
  RUZHG7eBjyysmbOQlqZOPnpnwmva8Ik4lMpb7oDOUKioYCPUwEC2PTGRudYMFxrholdWxlwZSu4j
  YLk2kRweHixYqZa483LdV64w0V6zxvS8E96JSavBKrXcIyLYc5yTw3zvI0eyznLhQvuw3illGVG5
  uebLMVRU6Fx2pui24v7228yXPXeuLk3KHpg8mZVunThRlx4J6MRdznIHWLlZvm5rR9C3L2vbAw+Y
  Poa38epV1mnKDesXLwbuuYeJtC288gr7rKbe25q01rKy7me5A8yPzNd4ra9n4iTn4x87lo2U0tP1
  O8S779YPMnK46FnjkgF099LajvKuu5g4qgX3u3/1FQvA88wcQ3gnZjgbtaxM2bPDXTPSBIZFi4CN
  G21f7F4t3nmHffakJOORmZSjR83XDALUW0O10zl0iPlvpdUH7YERI1jFSUO4ZSpnuQNsVmpH4u5u
  OWjEBXbjRhYwlS6mzAkOZrP+bOXWW9mfqfe2xi3Dz+tujBzJCsOVl7PRlNzzALD8fT6FXupiMTXr
  louei4t12T623ku5cs3tISCAiet77zHjzRQ8HdJwwhK/hiW4ayYvjxmH/Jp3380SE158sX2fw1aa
  m9ln37OH6YiPDwuqyy3NyGMuPANNjm5pufNa7IYFpewZS5a7PcA7IL6Ycme/94ULzJJVss5oQADr
  sJS6HuwJJydmlScnW34exo9nlqwSS5xb7oYBa0vYS0cZEMDiERoNG2WagqdD2iru48czcTRMPeZV
  Qk0t4djRbN7MDKqRI9kozVQ1VkBZ2nS3FPesLBZE6ajMko5AKu6mLLWuJiKC1Qavq9OlSHbme586
  xaxVJRPM+FJqak5g6ky4P93USI6TmMiOUWKJc8vdmmAqwO6ls3PXP5e9erHRgLm4ECBvuXMtUNLZ
  jxrFstPc3fXXSxg+nLmCNm60/TPYCqXGRpWpaqyGs5NN0S3F3dTSafYMX7DXVPDMHoiIYK6CjprB
  aw65PGVz8PS37gp3DViy3HngWqnlXlpqm+UeFqZfCK8rCAhggdoHHzR/nNRy52Lu5sZEX8nz4+HB
  3B5ySQEpQ42NAAAgAElEQVRPPslEtrMnNR05wmII0rIopsQ9I4PdA2nGmRzdUtxtnezTlUREsB9d
  jx7WTf7pTPr3ZxM/uB+yM+GVK5WKe3S0shmY9sq4cazaYnGxeYs5NpYJkRKxDg5mGRRZWfLxElNE
  RtqHizMmBvi//7P8++CWu2HwPTGR1a9XwvTp8oH9225jKbnSom2dwbvvMqNK2sGacsukpCj7vrpl
  QPXIka4RoPbQsyfLxbdXqx1gGRunT3fNe1vjMwXYj7OzXUdq0qsXs5b37mXlKUzh7KxcaIKCmLCH
  hlo3wzYujvm6uxqlcR6p5S7NqJEueG6JpUvltzs5sUy3Q4dMr+ClNhcusCDqf/+rvz06mq0NbMi5
  c/prSZii21nuly+zoYqaKVidAc/FbY9f82prF0V6OgFfX5YdYE9zFjqaxEQmImr5uv39WWdgjUum
  OxIYyIS9vLxjnpfOrh75wQfAww8br5jFLXdDF5FhbSZTdDtxT0lhgQ9TS6fZM+0V9ymfT8HWzK3q
  NcjOiIjontkvtpKYyDJD1BrNOTmxazm6uLu6MmPg/PmOEffOXNSjrg749FO27rAhAQGssy4v19+u
  dB5DtxN3Wysn2gN9+rTvh1xUV4QVKSvUa5Cd0afPtWW58+dYzSyVoKCOqWhpbwQHMxdURxgDMTG6
  heM7mk8+YW6gfv3k9xv63TUa5TEVuxb3rCxdBJz/LV2qv05mdyI62vaZnQBQ1VCFg/kHkV0pM0vK
  AYiOZjNprxXi4ph/XM2U3gEDzM9sdBSCg1lKYEcYA3weAi/a9vPPzBUUEMDcwbZm0nz7rXGVyo8+
  krfaOXKLivfqpSymYtcB1ZMn2RRbPlUbYL5re6gAaQvPP297XraGalDdWI3Hxz6OtcfW4l+T/6Vu
  4+yA5cu7b966Lbi4sPRYNVMQN2++Nu4hHwF3lBuPT3S64w7gtdfYszl1KstcysnRFU5TCqXA66/r
  f9fNzUy4zWW+GK4/bE1pCbu23DMzmXUjtdx5oaDuiJOT7W2va6qDp6snHh/7OD49+SkaWxrVbZwd
  0J77011RO7f8WrmHwcEsAGnNKlDWIK0/U16uq1Bpa7D111+ZqyczU2f5X7jARm7m4odRUfqWuzUT
  1Oxa3JVGha8FKhsq0cujFwb1GoTRoaPxTfo3Xd0kgaDLCArq2OA7n4fw9tvAX/+q64RtXWT73XfZ
  alYuLroAqZLJZoaWuzUT1Oxa3K2tbufIVDVWwd+D+aNmD52NLZlburhFAkHXoXQ2qq3weQg7dwKP
  PKLbbovlnpXFyn8/9JD5tYTlGDSIna/R6M4RlruDwS13AJgcORm7cnahVdPaxa0SCLqGiAjm0uhI
  briBrU0szT8fPZpN/79yxfL5Dz0EDBsG3HQTW1HKy0s/+0WJUPv4sAmQvNKsNZa73QZUq6rYQswh
  IV3dEvugqqEK/u7Mcg/zCUOYTxiOlRzD2PCxXdwygaDzmToVuO66jn2P99839um7u7MSHceOWc7a
  27KFZdr4+LAyEoC+5X7+PHDnnZbbMXMmK0X8j38A+fnKSyzYreXOe6hrITikBKnlDgBTBk7Bjuxu
  uKqvQKACTk7KSkO3Bw8P+YC3kklOdXUsG2b8eGa98+tYa7kDzOf/ySesNEhYmPIJnHYt7t3JJdPY
  0oiG5oYOu35lQ6XWcgeAKZFTsD17e4e9n0AgkEeJ352vQWxonHLLvaGB1ccxNXlJSv/+bGWml16y
  LgZpt+Le3YKpb/z6Bv558J8ddv2qxio9y/3Gfjfi5MWTqG2q7bD3FAgExkgX2TaF3ALzADNYs7OZ
  8TpggPE6uKZYsgTYts06g9duxb27We6nyk6hoLagw65v6JbxcPXA+Ijx2Ju7t8PeUyAQGNOvHxP2
  yZOZ75//SZfKNCXu3t7MnbR3r3X6NmECK3E9eLDycxSJOyFkGiHkLCEkkxDynMz+AELIL4SQk4SQ
  04SQeUrPNYWalvuV5ivYk7tHnYu18fP5n0ElXfeZsjO4WG9hOfI2aptqsf/CfqveT5oKyekOrpld
  ObvQ1NLU1c0QCFSDEJYi+cwzwFNPsb9bbwW+/FJ3jClxB5iubd1qnb4RAvzwAzBvnvJzLIo7IcQJ
  wAoAUwHEAZhNCDFcl/xxACcppSMB3AzgP4QQF4XnGkGp9UuFmeP7s9/j0S2PqnMxAA3NDZj+1XQU
  1hZqX+dU5aD0cqmi87ec24I/fvdHvc7BEoaWOwAk9U/CwfyDyhveBTz8w8N23wEJBNYydKi+1T5r
  lnENGFPiHhUF7N9vvb6FhVlXp1+J5T4WwHlKaR6ltBnABgB3GRxzEQDPBvUBUEEpbVF4rhFlZSwF
  Sa0ZaDuyd+BC9QVcvnpZletxEU8pTgEAnKs4Bz93P8WWe0pRCgpqC3Cu4pzi95SmQnKGBw9HdlW2
  ap9LbTRUg5K6EpHVI3B4goPZwtqVlex1QQGrcipHdDQ7tqNjikrEPRyA1Jlc2LZNyjoAcYSQYgBp
  AJ6w4lwj1LTaKaXYkb0DAR4BOHvprNH+3Tm7semMbhmaFk0Lnt/1PJpbm01es7S+TdyLmLinl6fj
  pn43ofxyOTRUY7FNKcUpiA6Itkr05Cx3N2c3xAXG4cTFE4qv05nw+yHEXeDoEKJfKsCSW0b6b0eh
  VkD1BQBplNIwAKMArCSEWDGA0EfNYOrvZb/Dw9UDkyMnI7083Wj/L1m/4IXdL2hF+afMn/DWobeQ
  XGg616n0cik8XDy0lnt6eTpGhYyCl5sXqhqqzLanRdOCtNI0PHvds1aJnpzPHQDiw+KRWpyq+Dqd
  SVFdEYYGDUVtUy1yq3K7ujkCQYciLfJlSdw9PdUt9SyHkkScIgDSKtsRbdukTADwBgBQSrMJIbkA
  hig8V8uyZcsAAAcOAMHBSQCSFDTPPDuyd2DKwCkI8wmTFffiumLkVOVgZ/ZOTB00FatTV2ut6hv6
  yU9Bu1h/EZMGTsKB/AOglCK9PB2zh85GiHcILtZfRICn6aIXZ8rOoK9fX9wdczee3P4kmlqa0MPF
  /KyEq61X0djSCB83H6N9CWEJ2JW7y8Jd6BqK64oR4RuBESEjsCN7BxbEL+jqJgkEHQa33C9fZuUJ
  TNW+GTIE2LXLtgma+/btw759+xQdq8RyTwEwiBDSjxDiBmAWAMOqVRkAJgEAISQYQDSAHIXnalm2
  bBmWLVuG+PhlGDEiSdEHsMSOnB2YEjkFsYGxSL8kL+6zhs7CqtRVyKrMwvGS41g+bbnZIGBpfSmG
  BQ2Dbw9fZFVmIb08HbGBsQj2CrYYVE0pTkFCWAJ6efRCTGAMDhcc1u6jlGLe9/Ow8KeFesFW7m8n
  Mk9DfFi81j3E0VAN5n4/F5+c+MRsWzqa4rpihPmEsdm0Oeq4Zp7b+Ry+zfhWlWsJBGrCJygVFclP
  YOIQYvtqcklJSVqd5MawKSyKO6W0FSwbZgeAMwA2UEozCCELCCHz2w57E0A8ISQNwE4Az1JKK02d
  a+k9q6pYsZz20tDcgMMFhzFxwETEBcXhTNkZo2OK6orw9HVP40DeAby852U8PPJhTBwwEecqzqHi
  SoXsdS/WX0SwdzASwhJwMP8gLlRfQFRAlNZyN0dqcSoSwhIAGJcQePPgmzhTfgbJhcl4L/k97XZT
  LhkAiAmMQUl9Caobq7XbXtv/GtafXo+00jSzbeloimqLEO4TjsmRk7Endw9aNC3tvuaRwiPIKLf4
  CAkEnQ4vLWDOJdOZKJofRSndBmCwwba1kv9fAnCH0nMtUV2tjrgfzD+IEcEj4OfuB09XTxTVFaGh
  uQEerh68bSiuK0ZUryg8OOxBrEhZgay/ZMHN2Q039rsRu3N34/64+42uW3q5FDf1vwkJYQn46vev
  MMB/ANyc3ZjlXm9suRfXFSPIKwguTi5IKU7BvJHzAABTB03Fwp8WYuqgqTh76SxWpazC0ceOokXT
  gsSPExEbGIupg6bKBlM5Lk4uGBkyEseKj+GWgbdgc/pmfHLyE/x78r9xqOCQ3rGpxamov1oPZ+KM
  6/pcB2cnlVeKkPnc8WHxCPEOQT+/fkgpSsH4Pu1bADe7KltxyqmAjeIKagrQr6eCee6CdsF97uYy
  ZToTu5yhqpa4bzyzEdOjpgMAXJ1dEekfqZd+WNtUCyfiBJ8ePnhy/JNYetNSRPZi62eZK8xVerkU
  wV7BiA+Lx+6c3YgLjAMAhHiHGAlPi6YFiR8lYtFPi9DY0oiM8gyMCB4BABgXPg6RvSKxbN8ybE7f
  jO9mfodw33D069kPH97+IV7e+zIA+TRIKfGh8UgpTsHJiyexaOsifDfzO4wOHY2iOl1449KVS7j+
  v9dj2b5luGfjPZ2Se15cX4xwX5YcdXv07dh4ZmO7rtfQ3IDiumLFKacCYGvmVtz82c1WzakQ2Ia/
  P6samZpqH5a7w4p7TWMNNmdsxsOjHtZuiw2M1QuqFtUxtwEADPQfiGVJy7T7+OxPuR/FxfqLCPEO
  wZiwMaCgiA1k9TyDvYONhGdr5lYEeQXhaNFRLPhpAQb3HqwdObg6u+KHWT9g37x92PXQLiSEJ2jP
  mzhgIs6UnUFTS5NZyx0AEsITsC1rG+7acBdW3rYSo0NHI8wnDMV1xdpj8qrzEBMYg33z9mFJ4pJO
  SU8sqi1CmA9LCXhs9GP4/NTnuNKsoBC2CXKqcgBAWO5WsD17O3Krc5FVmdXVTbkmiI4G9uwR4m4S
  NcT9f2n/w5TIKQjx1hWENxR3HvCTIzogGs7EGUu2LcFLu1/SC1qW1pci2DsYPd17IjogWifuMgHV
  1amr8cS4J/DDrB+wNXOr1t9uCS83LwzqNQinSk8xn7sZyz0hLAH78/Zj7oi5WjdSmE8YSupKtJ1T
  fk0++vqxxKUpkZ1TLlh6f/v37I/EiER8/fvXFs/Lr8nHrhzjDKDsqmz079lf1vUFAN9mfIurrVfb
  12gzNDQ3GLV/V84uFNR0XE2h9rIjewfGhI4Rcw06iehoID29/eLe3NqM9afXt+saDinulFKsTl2N
  xfGL9bbLiTt3GxhCCMHq6asR5BWEcxXnsCZ1DQBWp6aptQl+PVgx6ZW3rcS0QdMAwCigmlWZhWMl
  x3Bf3H0Y4D8Ae+buwVPjn1L8ORLCEpBanGrRch/UaxA237dZb+Th4eoBT1dPVDSwoHB+TT76+jJx
  HxUyCmWXyzpUlK62XkV1YzWCvIK02xbFL8Lq1NUWz/0p8yfM+36eUQA2uzIbE/pMkHXLZFdm456N
  9+BIgQ0LXCrkaNFRPLrlUb0VsF7e8zI+PvFxh71ne8itykVtUy2eGv+UatlKAvPw+TntFffTZafx
  8A8Pt2u1NbsTd0rbL+778/aDEIIb+92otz0uME7fLVNbhDBv0zMJbo26FS/d+BKeGPeENo2ytL4U
  Id4h2rTESQMnoac7a2ywt35AdW3qWjw88mG4u7gDYOUChvS2WFpHS0J4AlKKU1DVUGVW3AkhuCf2
  HjgR/a8z3Ddc65qRWu7OTs6YHDm5Q625kroSBHsH67Vp2qBpKLtcZnHSVXFdMYrqivBT5k9627Or
  shEfFo+GlgY0tjTq7Vt7bC3cnN06dEJXenk6Ljdf1s50bm5txsmLJ+3WKt6RvQOTIydjSuQU7L+w
  3+ysa4E68Fmn7RX37MpsNLU2Ibfa9sl/difuDQ2sxrHS1UYM0VAN/nnwn1g4ZqFRXnhUQBTyavK0
  wmDOLSOFW/yUUm0wVY4gryBcunIJGqpBc2szPk37FAvG2D5xJz6MBUorGytNpkKaQ+p3z6/ViTsA
  vdzzbVnbkPhRIsauG4u7NtylF2dYd2wdxq4bi7HrxuK1/a/pXf+p7U/hRImu9MHWzK3496F/A5C/
  t85OzlgYvxCrU8xb78V1xbip301GVn52VTYG9RqEIK8gvU60saURn5z8BM9PeF47a1hKZUMlHv/5
  8XYHFdPL0+FEnLTv8XvZ7+jj1we/l/2ul4pqL+zI2YGpkVPR27M3ogKicKSwY0Y1X//+tV4JD7Vo
  bm3GpP9Nwth1YzH+4/HdIm4QHQ24ugKBgcqO//PWP+PSlUtG27Or2KKpchMvlWJ34t5eq/3Vfa+i
  7mod5o+Zb7TPzdkNgwMG41TpKQD62RzmCPAMgIeLhzZTQ+rHN7y+Tw8fVFypwNGio+jr11ebfWML
  w4OHI7syGwU1BWYtd1OE+YShqJZlzOTX5Oulw/FFtk+XnsZD3z2EZ657BituW4HkwmS9uvTrf1+P
  uSPm4tWkV7EyZaW2TENlQyVWpazCXRvuwsX6izhVegoPff8Q3kl+R5tiyoPVUh4Z9Qi+Pfut2TIN
  RXVFeGLcEzhRcgLnK85rt2dXZiPSP9IotrHpzCaMDh2NWUNnyYr7gbwDWJmy0ig11FrSy9MxJXKK
  Nv6SUpyCCX0mYELfCdids7td11abFk0L9uTuwaSBkwB07LKM646vw5ZMk3MTbaaorgjp5elYcdsK
  9O/ZHz+c/UH191CbmBi29qqTAmW9fPUy1hxbIzvazK7MRk/3nkLcOZvObMKnaZ/i2/u/NTmlPyEs
  QfvjlGZzWIJb76X1pi13QBdU5WUP2oObsxuGBg1FcmGy2YCqKcJ95N0yABDhG4EQ7xAkfZaEf0/+
  N+6JvQdjw8dq/fwAGwUdKzmGmUNn4taoW9HTvSfSLrKJUbtydmHSwEl4eOTD+MOGP+CuDXfhg1s/
  gJerF06XnTY5KgryCsKtg27F/9L+Z7LdxXXFGOg/EA+PfBhrj7HpFK2aVuTX5GOA/wCWciqx3Fel
  rsLi+MUY3Hswyi+Xo7KhUu96qcWpCPMJw6qUVVbfQynp5emYO2IuUktStddNCEuwy/Vsfyv6Df38
  +mkNkY4Kol++ehkH8g+0S4RMkV+Tj4H+AzE2fCxmxs3sFqWjXV2BhQv1t5kaMZ64eAIaqpG9d9lV
  2bh10K04U2488VIpDiPuTS1NmP/TfHw/83sEe5sWX+7qAGDSupSDi7s5yx3QBVW3Z2/HlMj2iTtv
  b1Nrk+2We12RNp3SsN1zhs3B4vjFmDtyrnabtPM7X3EevTx6obdnbwD61t+ObDbkX5q0FIN7D8a8
  EfPwwLAHMDVyKnZk79BLMzVkccJirE5dbfKh5x3DgvgF+CztMzQ0N6CgtgCBXoFwd3FHsJcu5TS3
  Khc5VTmYHj0dTsQJo0NHG1lCKcUp+MfEf+CXrF9QdrnM6vsIABVXKtDQ0oDbo2/H6dLTuNp6FSnF
  KYgPi8fUQVNNps12FVKrHQDG9xmPvJo81Vfu+jXvV8QFxuHspbOKKqJag9Qgubn/zThSeKRD1ynu
  KJZsW4JFPy0yej5SilLg7eZtUtzviL7DsSx3W0sPHCo4hCG9h2BU6CizxyWEM8tUQzUWhVqK1nK/
  XGq28wj2DkZGeQYyyjNwXZ/rrPoMsu1tS51sj8+9sLYQ4T7hRgHXF254AX+f+He9bfFh8VrLlIsX
  Z+qgqdiRs0NbRnlK5BQ4ESd89ofPsDRpKQDd/ABz8YwJfSbA1dkVey8YC01DcwPqr9ajt2dvDPQf
  iISwBGw8s1HrkgH0J4udLjuN0aGj4eLkor1f0rRVSilSilMwOXIyZgyZgY+P25bZwusHebt5Y6D/
  QKQUpeDcpXMYETICMb1j0KJpwfnK85Yv1En8VvQbEiMSta/dnN3w1YyvMPub2dr5AmqwI3sH7o29
  FwEeAbhQfUG16wL64u7n7oeRISNxIP+Aqu/RGRwtOoqN6Rux4rcVettTilNwf+z9RtZ5U0sTLtZf
  1M5ct7XTtDtxt9Vy3561HVMjp1o8bljQMORW5yK3Khd+7n4WKzJyeOExi5a7Vwi+PP0lbuh3g+Jr
  m4NPbGqPW8bQJWPp/VKLU5koFqXo5eUn9U/Cb0W/4XjJcRBCEB1gXJD65gE3I7kwGVmVWSbFnRCC
  xfGLZd0kJfUlCPUO1QbDefpkVmWWVtylk8XSy9MR2ztWv/0lOsv9QvUFuLu4I8wnDIsSFmHNsTXY
  dGaT3p+pQF12ZbZ2AXLp+ySEJ+CjEx8hJjAG7i7uIIRgSuQUvJf8Hjad2YSjhUdN3+BOQlrDiHPL
  wFvw8o0v4871d2LjmY3YdGZTu9Nh9Qrz2WhlZldmy9YdyqvOQz8/XZxIOnK8fPWy0fudKTvTrtTB
  joBXjd0+ZzveOPCG3vyNlOIUzB05V5uswblQfQERvhHo5dELAR4ByKvOs+m9HUbc+UNmCVdnVwwL
  GoafMn9S7JIBmLifKTtjNlsGYMJztOiooo5GCTG9Y/DKja/Y1FFwt4w14h7kFaStdplaoi8Q3m7e
  GBM6Bi/teQlTBk6RrVLp28MXI0NG4kjhEbPB6geHP4jt2duNVpEytPhvi7oNJfUl2JyxWRuclgZU
  08vTERcUpz3esEomr8LJ9z047EFsTN+o/VuVugp//vnPsm18eufTePPAm9r34ZPV4kPjseH3DYgP
  1Y1q/jT6Tyi/Uo6N6Rtx54Y7sTN7p8nP3tEU1RahWdMs+53/OeHPmDN8Djalb8LbR97G33/9u8wV
  lFFQU4DS+lKMChlls7hTSjHxfxPx0fGPjPYZZXi1jQpbNa2YuXkmxq4bq02O+DXvV4xcOxI7c7ru
  vstRVFcET1dPxIfF4+M7P8aSbUtAKUVVQxUu1l/EhD4T4O7irjebPKsyC4N6DQJgPDfHGhxC3Evr
  S3Gh+gLGho9VdHx8WDy2ZG5RHEwFgEDPQDgRJ/xe9rt5t0yb8KvhbwdY+uBrN79m+UC5tngH49KV
  S8ipylEs7gC7P8mFyUi7mIbRoaP19k2NnGoxnsA7NnP317eHL8aEjsGveb/qbS+qLdLrFJydnLFg
  zALsytml55bRs9wDdZb7gJ4D0NjSiJK6EgDMryl1Lf3jln9g032btH/fzfwOhwsOG+XN87Z8fOJj
  NLU0If2S7n0SwhPQ2NKoVy5ifJ/x2mtuvHcj5nw3Ry/TpzPhHZpc50sIwfPXP49N923C+9Pel80u
  UsrOnJ2YNHASnJ2cbRahzIpMXKy/KBuDMTRK4sPiUVxXjMd+fAyXmy9j1fRVuHP9nUgpSsHMzTOR
  GJFoVP66q5E+n7dF3YZW2oqD+QdxrOQYRoWMkr132VU6F+Q1Je5fnf4K83+cj/k/zseWcyz9alfO
  Ltzc/2at39USCWEJ2H9hv1XiTghBbGAsaptqLQZU+/j2weAAqwphdgguTi4I9AzEb8W/WSXuCWEJ
  +CztM0T4RsDP3U9v35TIKSAguGXgLSbPnxI5BR4uHtpZvKbgwVcpxXXFRhPLHh31KFydXHWWe9tk
  MQ3VIONSBmJ6x2iPJYQgPixe65s1HH0Y0tO9J4YHD5ddaLyorgi9PXvj24xv9X6kI4JHwNXJ1eR1
  b+p/E/5+899x54Y79TqNEyUnOiWdz7BDM8WIkBE4d+mczUHKLee2aDt5SyJ0uOCwbDB3e/Z2zBk2
  R1uem0MpNRJ3Zydn3DLgFuy/sB+b7tuEh0Y8hAeGPYBxH43D8xOexxPjnrDYWX1y4hOTpbzbw4Xq
  C/jq9FdG26XPDSEEC8csxOrU1XrfUWxvA3GvNBB3mXUolGCX4u5vxr38zpF3EOwVjOHBw/HYlsdw
  uOAwtmcr87dzEsIT0EpbrXLLAOxGu7u4y66IxLmp/03YfP9mWaupKwjzCUNyYbLV4r47d7eeZcoZ
  HToae+buMZu9Ex8Wj21ztlm8B3yYLUUuEBvsHYydf9yJUSEsWM4Dqvk1+fB39zfqgJ4Y9wSWbFuC
  vOo8HCs+ZlHopgycgu1Z+u1o1bSi/HI5lt60FG8degu1TbXo48fquPZw6YGdf9yJYcHDTF5z/pj5
  6OfXT68S5ot7XsTMzTONRitqY6lD47i7uGNI7yE4efGk1e/x0fGPkHEpA/fE3AOAuQ/Ty9NNBv9W
  /LYCd6y/Q+tG4ezI3oFpg6axyW2SSWvVjdVwIk5G3+0/J/0Te+fu1WZwvT7xdWybsw1/HfdXi0tO
  FtQU4LEfH9OWElGT9afX48FvH8R3Gd/pbTccWc4dORe/ZP2Cn7N+1n5HspZ7L524y61DoQS7FHdT
  lruGanD20lk8M+EZPD72cXz6h09x78Z78UvWL1a5QQYHDIaXq5dVljvAbrS09IAcnq6eit1DnUGY
  TxiqG6utEvcxYWMAQM+nzCGEIKl/ktnznYiTUekHOUaFjkL5lXK9oF5RXZGsr/6m/jdp68/79fBD
  U0sTjhUf0/vhcG6NuhVLEpcg6bMk9PbsbXbZQ6AtB9yg9krZ5TL08uiFGTEzUH6lHDG9Y/SyjW7q
  f5NR9pEhPOUTYNZYanEqNt63ETM3z1Q9s4RDKUVqcaoiyx2A3rwGpRzIO4AXd7+ILbO2aMXX38Mf
  vj18TQZoU4tT8cS4J3DXhrtQfrkcAMsK+TXvV9wy8BbMGzkPW89v1e4zFSca6D9QbzKeE3Fio0lC
  0M+vH5o1zdqJe4asO74ON/S9AWuPrVU98JpSnIL/G/9/mP/TfL0OzFDce7r3xD0x9+Bg/kGt8WRo
  nUvdMjG9Y5BxKcOmNNtuJe551XnahwhgPqynxj+FQM9ADPAfoPg9nJ2cMb7PeKvOAVjBLWtE0h7g
  oxNr2t3TvSfiAuNUSeU0hxNxwqSBk/SCYEpKQhBCEOQVhL0X9sqKOwA8c90zuLHfjbi+7/UW25EQ
  noD8mnytnx5gnUyYTxhcnV2xcMxCDA8ervBT6ZgeNR1FtUU4UXICa4+txbwR83Dn4Dvx3ITncNeG
  u1B/td7qawLA5vTNeGHXC7L7cqpy4OHigVCfUEXX4vWLlHK19Sru33w/Pr/7cwzure96jAuKk3XN
  VDdWo6S+BK/d/BpmD52Nezbeg6utV3Gk8AhiAmPQy6MXenn0wh+G/EE7uc2aJAAOIYSlwsp8nubW
  Znx0/COsvG0lwn3DsfX8VquubYnU4lQsil+E5dOWY8bXM9CiaQGlFGfKz2jXe+AsTliMCN8IPdfL
  mWuX4xIAABbwSURBVLIzoJRCQzW4UH0BA/0HAmCdpo+bD/JqrM+Y6VbibtgLAsDT1z2NEwtOyJ9g
  hi2ztmDywMlWnXN93+vxy4O/WP1eXUmYTxh6efSCt5u3VecdfeyorFtGbQz97krr/YR4h2BP7h6T
  4k4Iwad3fYp1d6yzeC0XJxdMHDBRL01NWjH0hRtewIrbVpg63STOTs6YP2Y+3k1+F5+e/FS7QPgT
  455AfGg8HvruIZtymL87+x3eSX5HNpU0tTjVqu9NOqlPCYcLDqOvX19MHWTsBjX0HUvbNDJkJJyd
  nPH6xNfh7+GPx39+HNuztuvN4r57yN34JYv9vvJq8rRVTK3B1Ejk+7PfIyogCnFBcYqrkyqltL4U
  9VfrMdB/IB4Y9gACvQKxNXMrLtZfZHEvL/1CM6NDRyP7r9laD0CQVxCciBPKLpehqLYIPd17wsvN
  S+/4Y8XHrG5X9xP33sY/ZlvSBD1cPaz2ixNC4OnqafV7dSVhPmE2jTakD1dHMnkgq3HTqmkFpdTs
  zFYpwd7ByLiUYWQVSSGEKH42eBYQRxrYdXFy0Vb2tJbHRj+GDb9vwKjQUdr0NkIIVk1fhbLLZXh1
  36t6x7doWoyqNxoGPFOLU/H1vV/jtf2v4buM75BVmaX925O7R/GaAQCrlJpfk6/N57eEoSBLMRVU
  lebcOxEnfHH3FzhccBgf/PaBXieR1D8JyYXJuNJ8xSbLHdDvrCilyKnKQVZlFlakrMCi+EUAgPvj
  7kdqcSqyK7Nlr1HdWK29n0oqafLJflxPFsczd5ycMcpxc3bT/p8na+zO3Y2D+Qe1Fj3HFtcZ0N3E
  /ZJ+TrPAMqNDR+PWQbd2dTNMEu4bjgjfCPya96vesoeWCPFiGUsxgTEWjlTGxAETsT9vv/a1NXWH
  zBHiHYKnxj+FF67Xd6P0cOmBb+7/BitTVur53986+Bau++91WkE/mH8Qvf/dW+vLrm6sRnFdMW6P
  vh3r71mPF/e8iGlfTNP+7b2wV6/sgCVcnV0xIngEjpccV3S8ufkko0NH40D+AeNp9sX6k+F8evhg
  y+wtSOqfhHHh47TbfXv4YnToaPya96tRoTulSCfhLdm2BIkfJWLaF2y9hRkxMwCwQPK8EfO0dYuk
  NLc2Y/jq4Zj6xVSMXTcWH/z2gcX3NJzsd1/cfThWcgxbzm2RNUbluC3qNvxt79/wyt5XjDwK1rrO
  tFBK7eIPANVoKHVxobSpicoydt1Yeij/kPxOQbflg6Mf0Ps33U/Ty9Jp9AfRis55afdLNOTtENXa
  0KpppZ5veNKaxhpKKaWPfP8IXXdsnWrXN8WD3zxI16au1b4e/9F4OmzVMPrANw/QC1UXaOjboTR2
  ZSz96NhHlFJKd2Xvotf/93pV2/CXn/9C/3XwXxaPK6svo35v+tGrLVdl92s0Ghq3Mo7uztmtt73P
  O31o5qVMRW15ff/r9MltT9LxH42nB/IOKDrHkIh3IugLu16g0R9E06qGKtljzlecp4H/CqQNzQ16
  2zf+vpHe+MmNlFJKP0z9kM77fp7F97vty9vot+nf6m17evvT1OU1F/p+8vs2fQYppfWl1O9NP9qq
  aTXaxyRcXlPtynK/fBlwc2N/hlBKkVGun9MscAz+OPyP2JG9A8dKjilOTw32CjY55LUFJ+KEIb2H
  IKM8A4AuoNrRSKs1VjdW43TZaeyftx/nLp3D6A9H45nrnsHT45/WZvOkFqfKZjG1B1NBSEN25exC
  Uv8kuDq7yu4nhGBxgn5ZidL6UtRdrdO6pCzB74etbhmAfZ5VKauwZdYW7UI6hgzqNQijQkcZ1aGX
  ruBmGCDWUA0+PfkpVqesxsfHP0ZDc4OuTIdBnGNh/EK0aFpUeUaDvILg5+6nLZNx6colrEldY3Fd
  BLsSd3MumYLaAni7edtUQEtg3/i5++H+2PvxxoE3FAvqtEHT8FSi8iULlSD1GSsN7LaXyQMnY3fu
  bm399Ql9JsDfwx8/zPoBrya9iiWJS7S191s1rczFoXKge1ToKKSVplk8Tkml0znD52B37m7tdHqe
  lqk0vjU6dDRK6ktQernU5vv/ZOKT2PrAVqNsHkO4b5yTUZ6BjEsZuDvmbgBtaYjlujTEM2Vn8OzO
  Z3Gq9BT+d+p/eGTLI8iryYOzk7ORURLZKxKrbluFcRHjoAZSv/vf9v4NX5/52mjOgCF2J+6mJjCZ
  C04Iuj+LEhbh7KWzin/QUQFRmB49XdU2SLM9rCkH3R5CfULR168vUopStGWUARaLeHzs4yCEIMI3
  AqHeoThWcszIf60G0QHRyKvOQ1NLk8ljqKQSqDl8e/hiVtwsba2YlOIUq0Yazk7OmDRwEkK9QxXP
  ODfkhn43YELfCRaPmx49HQW1BdpJXGtS1+CRkY9og53+Hv7wdvNGYW0hANZRTY6cjNW3r8a2B7ch
  uzIbc7+fa7LzWpSwyOosNVPwmkl1TXXY8PsGfHH3F1h9u4NY7kLcHZuRISORGJHYKYJqCj6ZpLGl
  EXVX6yxOflKLKQPZTF1zlvGUyCn44tQXqGmsadfqXnK4ObthgP8AZFZkGu3blbMLM76egdvX3w53
  F3dF7pVFCYuw/CjL9/7vif9aPdKYGjm1U+aTuDi5YP7o+Zjz7RzM+HoGPkv7zGgFt9jAWG1JXmnH
  6uHqge9nfY+syizVO1s5uOvsy9Nf4uYBNytaQc62rrGDsCTuSmfdCbonG+7ZYDTdvDPhPtaSuhKE
  eIdYnIGqFlMip+DRLY+ilbaaNGCmRE7BjK9n4Lo+13VIu7hLSlpSgVKKp3c8jdlDZyMqIMooRc8U
  w4OH4/uZ36P8SjnmjpiLaYOmWdWWB4c9qGjymRo8M+EZDA8ejlbaimcnPGuUocPvy7RB05BSnIIH
  hj2g3RfmE4ajjx01W45ELcaEjcHJiydR01SDd6e+q+icbiXuc0fMld8pcAhsSX1TkwE9B6C0vhTn
  K8936gji+r7Xo/xKOWYNnWXSN31jvxvRSls7zEqUm4CUXJiM+qv1eGbCM1Z3KDf0u8HmtvRw6SG7
  VkBH4O7ijruG3GVyf2xgLFKLU9HU0oQzZWe09Y04Eb4RHd1EAGzWeJhPGJpamjBxwERF53QLt0xu
  VS6bxity3AUdiLOTM6IDorE7Z3enBFM5Hq4emBI5BXdE32HyGE9XT0weOLnDLNq4oDij6oOrU1dj
  UfyiThvB2CNxgWw0d7rsNAb1GtRpk/vkmDRwEp4a/5Ti78PuLfe6pjrcueFO/P3mv9u0jqhAYA2x
  gbHYlbsLE/pYDsipyfczv7d4zI+zf+ywaqOxgbF6C3dcunIJP2b+qNgF4Khwt4zSMsodycrbVlr1
  /dtVl8zF/UrzFSQXJiO5MBlzvpuDxPBE/GXsX7q6eYJrgNjAWJwoOdHpgV1CiMUfbkeWkY4OiEZO
  VY52uv0nJz7BnYPv7LSgsr0S4BmAHi498MO5HzolcGoOa79/uxT3dcfWYcbXM7Bk2xL4uPlg5XTr
  eiyBwFZiA2NBQTvVLWMPuLu4o49vH2RVZkFDNVh7bK12Ms+1TmxgLHbm7OyUQnpqYldumaoqJu75
  DRVYMGYBliYt7eomCa4xeLbKtSbugM4FkV+TD98evna1LkFXEts7FofyD2FYkOnFWewRuxJ3Pomp
  prHG6lrrAoEaRPpHwtXJVVEesaPBc7qPlRzDovhFYrTcRmxgLEaEjLCp+mxXYnfi3rMnUFNQY3H9
  TYGgI3B1dsXnd3+uuBaKIxEbGIvVqatx9tJZfDXDeD3Qa5UZMTMwpPeQrm6G1dinuGfVdOlkFsG1
  zcyhM7u6CV1CXGAcDhccxl/G/qVLU/7sjVCfUMUrW9kTdhlQrWkUlrtA0NkM7j0YLk4uWBi/sKub
  IlABReJOCJlGCDlLCMkkhDwns/9pQsgJQshxQshpQkgLIaRn274LhJC0tv2/mXufmhrAzw+oaRKW
  u0DQ2Xi6eiL7r9mihpODYNEtQwhxArACwC0AigGkEEJ+oJSe5cdQSt8G8Hbb8bcDWEIprW7brQGQ
  RCmtsvReHh6Ai4uw3AWCrqK7LQAvMI0Sy30sgPOU0jxKaTOADQBMF2MAZgNYL3lNFL6PdnaqsNwF
  AoGgfSgR3XAABZLXhW3bjCCEeACYBuAbyWYKYCchJIUQ8idzb9SzJ6tEJyx3gUAgaB9qZ8vcAeCg
  xCUDABMopSWEkEAwkc+glB6UO7lnT6CxpRFOxKnb5ZQKBAKBPaFE3IsASB1xEW3b5JgFfZcMKKUl
  bf+WE0K+A3PzyIp7aekyvLK0Hs6pzti3bx+SkpIUNE8gEAiuDfbt24d9+/YpOpbw9QFNHkCIM4Bz
  YAHVEgC/AZhNKc0wOM4PQA6ACEppQ9s2TwBOlNJ6QogXgB0AXqWU7pB5H/rHP1K89M453LH+DmT+
  xXhVGIFAIBDoIISAUio7ldii5U4pbSWEPA4mzE4APqaUZhBCFrDd9MO2Q/8AYDsX9jaCAXxHCKFt
  7/WlnLBzevYUwVSBQCBQA0U+d0rpNgCDDbatNXj9GYDPDLblAhiptDFiApNAIBCog13NUOWWe093
  E2vtCQQCgUAR9ifuwnIXCASCdmN34l7dWC187gKBQNBO7E7ca5qE5S4QCATtxf7EvVFkywgEAkF7
  sT9xF5a7QCAQtBv7FHdhuQsEAkG7sCtx9/MT2TICgUCgBnYl7s7OwnIXCAQCNbArcQeE5S4QCARq
  YH/iLix3gUAgaDd2Je5ioQ6BQCBQB7sSd7FQh0AgEKiDXYm7cMkIBAKBOtiXuAuXjEAgEKiCfYm7
  sNwFAoFAFexL3IXlLhAIBKpgX+IuLHeBQCBQBfsSd2G5CwQCgSrYl7iLJfYEAoFAFexL3IXlLhAI
  BKpgV+IultgTCAQCdbArcRcLdQgEAoE62J+4C8tdIBAI2o19ibvwuQsEAoEq2Je4C8tdIBAIVMG+
  xF1Y7gKBQKAK9iXuwnIXCAQCVbAvcReWu0AgEKiCXYm7WKhDIBAI1MGuxF24ZAQCgUAd7EvchUtG
  IBAIVMG+xF1Y7gKBQKAK9iXuwnIXCAQCVbAvcReWu0AgEKiCfYm7sNwFAoFAFRSJOyFkGiHkLCEk
  kxDynMz+pwkhJwghxwkhpwkhLYSQnkrOlSLEXSAQCNTBorgTQpwArAAwFUAcgNmEkCHSYyilb1NK
  R1FKRwN4AcA+Smm1knOlCLeMQCAQqIMSy30sgPOU0jxKaTOADQDuMnP8bADrbTlXWO4CgUCgDkrE
  PRxAgeR1Yds2IwghHgCmAfjG2nMBiPVTBQKBQCVcVL7eHQAOUkqrbTl520fbkBeYBwBISkpCUlKS
  ik0TCASC7s2+ffuwb98+RccSSqn5AwhJBLCMUjqt7fXzACil9C2ZY78FsJFSusGGc+mu7F24ZeAt
  ihouEAgE1zqEEFBKidw+JW6ZFACDCCH9CCFuAGYB2CLzJn4AbgLwg7XnckRAVSAQCNTBoluGUtpK
  CHkcwA6wzuBjSmkGIWQB200/bDv0DwC2U0obLJ1r6r1EQFUgEAjUwaJbprMghNDS+lIEeQV1dVME
  AoGgW9Bet0ynISx3gUAgUAe7stztpS0CgUDQHeg2lrtAIBAI1EGIu0AgEDggQtwFAoHAARHiLhAI
  BA6IEHeBQCBwQIS4CwQCgQMixF0gEAgcECHuAoFA4IAIcRcIBAIHRIi7QCAQOCBC3AUCgcABEeIu
  EAgEDogQd4FAIHBAhLgLBAKBAyLEXSAQCBwQIe4CgUDggAhxFwgEAgdEiLtAIBA4IELcBQKBwAER
  4i4QCAQOiBB3gUAgcECEuAsEAoEDIsRdIBAIHBAh7gKBQOCACHEXCAQCB0SIu0AgEDggQtwFAoHA
  ARHiLhAIBA6IEHeBQCBwQIS4CwQCgQMixF0gEAgcECHuAoFA4IAIcRcIBAIHRJG4E0KmEULOEkIy
  CSHPmTgmiRByghDyOyFkr2T7BUJIWtu+39RquEAgEAhMY1HcCSFOAFYAmAogDsBsQsgQg2P8AKwE
  cDuldCiA+yS7NQCSKKWjKKVjVWu5HbBv376uboJVdLf2AqLNnYVoc+fQmW1WYrmPBXCeUppHKW0G
  sAHAXQbHPADgG0ppEQBQSi9J9hGF79Pt6G4PV3drLyDa3FmINncO9ibu4QAKJK8L27ZJiQbQixCy
  lxCSQgj5o2QfBfD/7ZxdiFVVGIaft8w0I1NIJSZ1TAoTSiXQkgiUxAqmrkqLyALpokgqJLUL87Ig
  QyIvRBMRM0gTJzCcBq8KA2OyMR1lxH5s0pFILLuw1LeLvazj6ZxpJMe9ZvgeOLDXtxdnP2fN2d9Z
  e/3Mpym+8P/pBkEQBL1h0GV8n2nALGAYsFvSbtuHgZm2j0m6iSLJd9j+7DJdNwiCIKiBbPdcQZoB
  vG57biovAWz7jYo6rwJDbK9I5bXAJ7a3Vr3XcuA32ytrXKdnkSAIguBf2FateG967nuAiZLGAceA
  ecD8qjrbgXckXQ1cC0wHVkq6DrjK9mlJw4A5wIpLEQyCIAgunf9M7rbPSXoBaKEYo19nu0PSc8Vp
  r7F9UNJOoB04B6yxfUBSI7At9coHAZtst/TdxwmCIAigF8MyQRAEQf+j9CWKvdkgVTaSGiTtkrRf
  0j5JL6b4CEktkg5J2pnW+2eFpKsktUlqTuWsnSUNl/ShpI7U3tP7gfPS5NouaZOkwbk5S1onqVtS
  e0WsrmP6TJ3p7zAnI+c3k9NeSVsl3ZC7c8W5VySdlzSyItZnzqUm995skMqEs8DLticD9wDPJ88l
  QKvt24FdwNISHeuxCDhQUc7deRWww/Yk4C7gIBk7p7mohcBU23dSDD/OJz/n9RT3WSU1HSXdATwG
  TAIeBFZLKmNOrJZzCzDZ9hSgk/7hjKQG4AHg+4rYJPrQueyee282SJWO7eO296bj00AH0EDhuiFV
  2wA8Wo5hbdIX6iFgbUU4W+fUC7vP9noA22dtnyJjZ+BX4A9gmKRBwFCgi8yc0/Ljk1Xheo5NwAep
  /b+jSKJXfHd5LWfbrbbPp+IXFPchZOyceBtYXBV7hD50Lju592aDVFZIGg9MofhijbbdDcUPADCq
  PLOaXPhCVU6s5OzcCPwsaX0aSlqTVlxl62z7JPAW8ANFUj9lu5WMnSsYVcex+r7sIs/78llgRzrO
  1llSE3DU9r6qU33qXHZy71dIuh7YAixKPfjq2ehsZqclPQx0pyeOnh71snHmn81w79qeBvxOMXSQ
  cztPAF4CxgE3U/TgnyRj5x7oD44ASHoN+NP25rJdekLSUGAZsPxKX7vs5N4FjK0oN6RYdqRH7i3A
  RtvbU7hb0uh0fgxwoiy/GswEmiQdATYDsyRtBI5n7PwjRQ/ny1TeSpHsc27nu4HPbf9i+xywDbiX
  vJ0vUM+xC7ilol5W96WkBRTDjU9UhHN1vhUYD3wt6VsKrzZJo+jj/Fd2cv97g5SkwRQbpJpLdqrH
  e8AB26sqYs3AgnT8NMVmriywvcz2WNsTKNp1l+2ngI/J17kbOCrpthSaDewn43YGDgEzJA1Jk2Gz
  KSawc3QWFz/F1XNsBualVT+NwESgrH/XfZGzpLkUQ41Nts9U1MvS2fY3tsfYnmC7kaIDM9X2ieT8
  eJ852y71BcyluEE6gSVl+9RxnEmxOWsv8BXQlrxHAq3JvwW4sWzXOv73A83pOGtnihUye1JbfwQM
  7wfOiyl+hNopJiavyc0ZeB/4CThDMT/wDDCiniPFKpTDFIsH5mTk3Emx4qQtvVbn7lx1/ggw8ko4
  xyamIAiCAUjZwzJBEARBHxDJPQiCYAASyT0IgmAAEsk9CIJgABLJPQiCYAASyT0IgmAAEsk9CIJg
  ABLJPQiCYADyFxwqhuWLhx2jAAAAAElFTkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795f579890>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZIAAAJZCAYAAACDRbMQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xu8nVV95/HPLwYEFQKUkkhCAgpSYIpaJXiZllORm5SL
  dgYDrYC00o6KNywX50I6vYw4daxja2sVFRklBbEFlUqkGDuoBSQgAiGkICEJ5CgSLuogufzmj7WO
  2dnZ5+Scs87JyUk+79drv7L3c1nPei77+T7PWs/ZicxEkqTRmjLRFZAkTW4GiSSpiUEiSWpikEiS
  mhgkkqQmBokkqclWDZKI2BARL9qay5Sk8RIR34iIc7b2vEOUOaeeZ0d1bh/tOXpr35H4RysjFBF/
  GxG/HxFnRcS6iHiqvh6IiE9HxEEd0w4cRAPTPF3//Y8d08yNiK9GxJqIeCwi/jUizu4YPy0i/iYi
  Ho2In0TE9zrH12keioifRcSTEfF4RNwcEX8QEdGj/vNrnY4Y5vqeVaf/cNfwU+rwT3et65T6+bP1
  8ys75nlxRGzo+LzZFzci9o+I9RHx1z3qsqFjGw78+/4t1P+SiHi2TrsmIr4TEb/eMf6ourzufXRk
  VzmfjYi1ETG9R/lXDFWHHnX69xHxrYh4ou7z/xsRr6jjOo+rJyJicUScOJK69lher+18VESs6Ph8
  aUQ8XMtbEREfjojndIx/WUR8NyJ+GhG3RcRLh7GeA9v+yfq6LyI+FhEzuqbb4jE+ybWcZ0c174iC
  pHNHj9JmJ5rt2RhsL4ATgOvr+29n5u7ANOD1wP8Dbo+IQzumT2BaZu6embvVf6+u9Xk18M/AN4AX
  Z+bewH8Cjqvjd6rj9wOOrMu5APhgRLynaxknZuY0YA7wQeBC4LIe9X8L8H3gzBGs8wPAabHpVdWZ
  wNKu6bLr/Y+BPx1iml7OBO4G3lzXv3vew7u25V8Mo/4L6n76Jcr2/GLX+FW1rM5ybxkYGRHPA94E
  3Av8bo/yh/1lj4jdgC8DHwX2BGYCfwz8vGOyb9c67AF8GrgqIqYNp64j1Fnvy4BD63aaSzkGf7/W
  eSfgH4HPAXvUf6+NiKnDWMaCelzuBbwRmEH5jkzvKHs4x/iOalTn6C0GSUT8ICIuiIjvAT+JiP0i
  4pqI+GGUq+LzOqY9IiK+Xa/EVtWrgeHs/M7lvSEi7um4UnlfHX5U/XxxRPwoIh6MiDM65ts5Iv4i
  IpbXK42PR8Rzt7CsX4qIL9f6/jgivtkxblbHev4oIv53HR4R8V+iXJWvrleOu9dxA1fJ50TEcsoB
  S0S8ql4RromIOyLiqI7lnF2348Bdxukd434VWJOZj3TWO4sfZOY7gG8C87tXbZBV/hDwmcz8i8x8
  vJZ1R2YOLPNMYBbwHzLz4cxcn5k3AO8C/iQiXtC9jMx8OjO/ArwZOKsz1CLiN4Dd6/ynj+BYWE0J
  n4GA2xN4DXDdFua7HDg8Ou4AhuFMyvb7MXBS17ig4eInMzcAnwf2joi9RzDrbwM/AC4Fzh7t8quX
  lKrkVfW4+Xlm3piZdw8y/aeBXYEXNy53SJl5f2b+pH6cAqyn7HeA3wSek5n/OzPXZubHKPvhdSMo
  f31mLqEclz8Czq+jRnKMAxARz42IK6Lcza2JiFsi4pc7Jtk/yl35UxHxtYjYq2PeQb/7HdPsXMd3
  fnf2jnLXv3f9/Ft1/jV1Wb86xOoH8Hv1HLwqIs7/xYgRnKOj3Mk+XL/HQxruHck8ypXxXsA/AIuB
  FwJHA++OiGPqdOuB99TpXk3Z8W8f5jIGfAp4W71S+XfATR3jZtSy96V8wf4uNjbtXAocCBxe/50J
  /LctLOt8YAXlynEf4AMA9Ur4K5Qv8+xa1oI6z1spB+NRwIuA3YC/6ir3N4BfAY6LiH1rWf89M/cE
  3g9cU0PseZQrxePq+r4GuLOjnDcAX93COnwJ6D5x9mpi2pWyT64ZoqzXA/+Umc90Db8G2KXO31Nm
  3gas7KrLmcA/ZuY3KXdP3SfqQYujXIWeVT/Po1yhPruF+X4G/Hl9bVENnH0od3xf7FjemIiInWuZ
  D2TmYyOY9Szg7yl3EgdGxMsbqnE/sL5e8BwfEXsMUd+pwNuAp4FlDcvsWXyP5V0YEU8DDwNfzcxr
  66hDgbu6Jv8ecNhIF1rD/Fo2HpejOcbPolwQzaScf/6QcjwPOL1O88vAcynfcSJiJoN897vq+Gxd
  /ukdg08DFmXmY3X/X0bZN3sBnwCui83voDv1US4GjgMujIiBEB7WOToijqdcBL0xM/9liOUAww+S
  j9ar4sOBvTPzz2qSP0Q58c8DyMzFmXlrvfJ5GPg7ygl3JJ4FDouI3TLzyczsPLEm8F/rVcq/UE6y
  p9VxbwPeW+f5KaW55XSGtpYSiAfU9flWHT63Dr8gM5/JzGcz89t13BnA/8rM5Zn5M+BiYF5sbIZJ
  4JLM/H+Z+XNK08RX61UPmfnPwHcpIQFlx/5qROySmf31KmrAiWxs1hrMI5SDYkAAP4rSd7Gm/nsw
  pVljCvDoEGXt3Wt8Zq4HHqvjh1WXGlz/EbiqjruGkTVv/SNwVL3bO5MSLMPxd8DsiDhuGNOeCXy5
  7qergeN73Dks7tqWx2xezGbeHBGPU4Lt9yj7sdPMWlZnubsCRMRsykng6sx8GvgaI9tum6hl/Htg
  A2Xb/DAiru26on51re8jlCv4U+t8Q9Z1Cz7WMd/jlFDsrtulmbkb8ArgdyLijXXUC4AnuyZ/inLR
  Nhqd35HRHONrKRebL6nntjs67qag3OU/UI+jq4CX1eG/w9Df/U5Xsun56gzKiRzKue1vM/O7dflX
  UJomXzXEOs+v5667gc8MlD3Mc/RpwN8Ax2fm7UMs4xeGGyQr67+z6TqwKCfSfQAi4qAoTUWPRsQT
  wJ+x5ZNPt9+mfPGWR+m069xYa7quJJYD+9YvxfMobaEDB+4/UXb+UD5EaY9fGBH/FhEX1uH7Acvr
  1Uy3fetyO+swFejsFF3Z8X4Opb2/c5u9FnhhDaI3U/opHq3b7mAoHYLAwcC3GdpM4PGOzwn8Umbu
  lZl71n+XAmsoJ5MXDlHWY73GR+nr2ZvSRDDcuryJclHwz/Xz1cAbuq/GBlP381eB/wLslZnfGeZ8
  zwJ/Ul+DiohdKEF3dZ3vTsq+PKNr0pd3bcuvD6Maf5+Ze1G+F3cD53WNX1XL6ix34Ar3LcDdmTlw
  R/BFykl21P1tmbk0M8/JzNmUu/x9gb/smOQ7tQ77ZOZrMvMbw6zrUM7rmG8v4LeGqN+dwMcp6w7w
  E8odQKdplDul0eg8Lrd0jPe6c/wccAOwICJWRnlQoHN/rO54/zNKEMLg3/1NOv+rbwC71qanOcBL
  KRdTA+Wc31XOLMp+7CXZ9By0fGDaYZ6j3w1c1XVRO6ThBslAJ9kK4MGuA2taZg40WfwNsITSkbsH
  8J8ZYRtzZt6emadSbhOvZeMVLcCeXVdDsylXG49RduBhHXXbI0un21DL+mlmvj8zXwycDLwvIn6z
  rufs6P0I3SOUHTtgDuWKpb+z6I73K4DPdW2z3TLzQ7UOX8/MYykH11LKFQKUW9KbMrf488xvBP5v
  17DNtnn98n+HEtSDuRE4occV538AngEG7WSN8lTWvh11OZNyBbkyIh6l3JFMZfMT9VCuAN5X/x2J
  z1A6ad80xDRvopysPlG/VI9SvpzdzVstfSSPA38AnBsRBwxztrcAB3XU6S8pF0S9rmJHU6f7gc9S
  AmVbMpXyHQa4h9L60enwOnxEIiIoTaoDzTNbOsb/tbuM2lrxJ5l5GKX5+bcY3l3iYN/9/9ljGRso
  57ozKHcPX6ktKwPl/FlXOS/IzL8fYtn7dbwfOE/Cls/RSbnAemNEvGsY6wiM/PHfW4Gno3S+7xIR
  z4mIw2LjI5e7AU9l5s8i4lcoV9rDFhE7RcQZEbF7vdV8mtL084tJgD+u0/065c7lqnqy/STwlwO3
  7BExMyKO3cLyToyIgU7Fp4F1lKv2Wym3vx+MiOdF6Wx7TZ3uSuC9UR4bfQEl0Rd03L10n3j+D3BS
  RBwbEVPqdjsqIvaNiH0i4uQofSVrKVdiA+X06h+JWu8pdfkfo9yWzu+aZrCT3wXA2RFxftQOwYh4
  aURcWcdfQbmSuTrKgwNTaxPRRynNdZtdEUbEbhHxW3W7XJGZ90ZpGz6asn9eRrm6OpxyBzjsfogs
  fSvHsHkfVOe69ppvPWWbXNhrfHUWpd35V2v9XkppAnpZRIy4LX4w9cR9HWXbD+hZ7yhP1b0IOKKj
  TodRtm3nies59ZgceO082PIj4uCIeF/dJ0TEfpQT1bDu8Aara4sozo3aXxMRc4F3sLH/bhGlX+e8
  KB3R76J8L27qWWCP+tZz0yGUvs3pwEfq+NEc430R8e/qheVPKN/V9d3T9TDod3+Q6a+ktFCcAXyh
  Y/gngT+s24mIeH6Uh5KeP8Q2+K8RsWs9lt/Kxj7eLZ2jgxI6RwPviog/HMZ6QmYO+QIeBF7X8XlG
  XclHKU+6fHtgPKVDawmlPXPgaaJ/6Zh3PfCiIZa1E6VJ6sfAE5Qr4FfXcUdROuUupjSxPASc0THv
  zpST+gN13nuAd25h3d5D6VAf6PD7QMe4WZQHCx4Dfgj8ZR0elOaWhyl3IZdTHreFcneyHpjStZwj
  KF+OH9d5vlzLn1GHr6Hcet8EHFzneZTSHzVQxlmUA/ipWt8fUK68D+6YZmD5T3VM9xTwno5pXknp
  d1lT1+07wO92jN+DctWyGvgp5empt3atzw/quCdrOd+idEBGHX8hcGuP7f1CStvuoUPsk7M6j5mu
  cX8CfLrXtq7b4r93TBu17us6ht0EnEO5c3q2Vz0onaMfqu83dGzDgX//1xaOqUsoV6Gdw+bW7bUP
  5The12MfvbFu96t6lHkEpXN3j1r++o7XBuDhIeqzL6XjfmVd1gpKM9ILhrG9B63rFrbBTcA5Pcp6
  uGPf/FM9/p6kdKx3H2MvpfQn/LT+e/gwzlWX1ONroK5LKRchL+yabjjH+PXARfX9POC+WuajlFCa
  0mtdu7cng3z3h9hOyyjnt6ldw4+lXOA+Dqyq+/T5Peo68L34/TrdI8D5HeUM+xwN7E/5rp8z2DYf
  eA188bd5UR6buyJLO+92rTYTfSwzh+pM65z+IcoXcgOwNjPnRnlk9u8pB9ZDwGmZ+WSd/mLKCXUd
  8O7MXDjmKyFph+FvbW27LhnBtBuAvsx8eWbOrcMuAm7MzIMpVz4XA0R5Vv004BDKI90fr+3IkjQq
  ExIkEXF3bPzZhc6fXtjS47qjWdbFHeV3vrb09xkTJjNvy/rI4DAFm+/LUyjNbtR/T63vT6b06azL
  8vj2MkrTy1YT5ecpnu6x/z++NesxWhFx/SD1v2iC6rNfj2N84POscVrmYMt77Xgsr2O529S2VzFp
  mrY0uIh4kNIvtB74RGZ+KiLWZPkjqIFpHs/MvWoH/Xcy8wt1+KeA6zPzSxNSeUmT3oh+vkTbrNdm
  5qNRnlhbGBFL2fz3mLxikDQuDJLtQGY+Wv/9UUT8I6Wpqj8ipmdmf5RfP/1hnXwVmz5jPqsO20RE
  GDzqKTPtU9Mm7Gyf5KL8ncsL6vvnUx4T/D7lbxfOrpOdRfnjTurwefX5/AMov0t2a6+yt/TI32he
  l1xyybiUO55lT7Zyx7NsqRfvSCa/6cA/1DuIqcDnM3NhRHyX8nPg51B+IuE0gCx/MHgV5SfK1wJv
  T88QkhoYJJNcZv6AjT8S1zn8ccovnfaa538A/2OcqyZpB2HTlraqvr6+SVf2ZCt3vMuWuvn4r3qK
  CFu8tJmIIO1sVxfvSCRJTQwSSVITg0SS1MQgkSQ1MUgkSU0MEklSE4NEktTEIJEkNTFIJElNDBJJ
  UhODRJLUxCCRJDUxSCRJTQwSSVITg0SS1MQgkSQ1MUgkSU0MEklSE4NEktTEIJEkNTFIJElNDBJJ
  UhODRJLUxCCRJDUxSCRJTQwSSVITg0SS1GTqRFdAk9+MGfvT3798oquhUZo+fQ6rVz800dXQJBaZ
  OdF10DYoInK4x0ZEAB5Hk1cwkn2dmTHOFdIkY9OWJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpi
  kEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpi
  kEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpi
  kEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpi
  kEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpi
  kEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpi
  kEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgbJdiAipkTE4oi4rn7eMyIWRsTSiLghIqZ1THtx
  RCyLiCURcezE1VrS9sIg2T68G7i34/NFwI2ZeTBwE3AxQEQcCpwGHAKcAHw8ImIr11XSdsYgmeQi
  YhbwBuBTHYNPAS6v7y8HTq3vTwYWZOa6zHwIWAbM3UpVlbSdMkgmv48AfwRkx7DpmdkPkJmrgX3q
  8JnAio7pVtVhkjRqUye6Ahq9iDgR6M/MOyOib4hJc4hxg5o/f/4v3vf19dHXN9QitD1atGgRixYt
  muhqaBsXmaM6x2gbEBF/DvwusA7YFdgN+AfglUBfZvZHxAzgG5l5SERcBGRmXlrn/xpwSWbe0qPs
  HO6xUbpZPI4mr2Ak+zoz7VfTJmzamsQy8wOZOTszXwTMA27KzLcAXwbOrpOdBVxb318HzIuInSPi
  AOBA4NatXG1J2xmbtrZPHwSuiohzgOWUJ7XIzHsj4irKE15rgbcP+7ZDkgZh05Z6smlrR2LTltrY
  tCVJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJ
  QSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBozBx3HCxZAkuXwgUX
  bD7+/PNh8WK4/Xa46y5YuxamTYODDto4fPFieOIJOO+8Ted93/tg/XrYc8+tsy6Shi8yc6LroG1Q
  RORwj42IICK5/344+mh45BG47TaYN6+ESi8nngjveQ8cc0x3WbByJRx5ZPkXYOZM+NSn4OCD4RWv
  gDVrGlZMPQQj2deZGeNcIU0y3pFoTMydC8uWwcMPw7p1sGABnHLK4NOffjpceeXmw1//enjggY0h
  AvCRj8Af/dHY11nS2DBINCZmzoQVKzZ+XrmyDOtll13g+OPhmms2H/fmN28aMCedVMq9++6xra+k
  sTN1oiugHc9JJ8HNN8OTT246fOpUOPlkuOii8nmXXeADH9i0+StsVJG2Od6RaEysWgWzZ2/8PGtW
  GdbLvHm9m7VOOKF0uD/2WPn84hfD/vvD974HDz5Yyrz9dvjlXx7z6ktqYGe7ehppZ/uUKcnSpaWz
  /dFH4dZbSz/IffdtOu3uu28MhWee2XTcF74AX/safO5zvZfz4IPwa79WnurSWLKzXW1s2tKY2LAB
  3vlOWLgQpkyByy4rIXLuuZAJn/xkme7UU+GGGzYPkV13LR3t5547+DIybdqStkXekainkdyRzJix
  P/39y8e5Rhov06fPYfXqh4Y1rXck6sUgUU8jCRLtOAwS9WJnuySpiUEiSWpikEiSmhgkkqQmBokk
  qYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokk
  qYlBIklqYpBIkpoYJJKkJlMnugKa/GbM2J/+/uUTXQ2N0vTpc1i9+qGJroYmscjMia6DtkERkcM9
  NiIC8DiavIKR7OvMjHGukCYZm7YkSU0MEklSE4NEktTEIJEkNTFIJElNDBJJUhODRJLUxCCRJDUx
  SCRJTQwSSVITg0SS1MQgkSQ1MUgkSU0MEklSE4NEktTEIJEkNTFIJElNDBJJUhODRJLUxCCRJDUx
  SCRJTQwSSVITg0SS1MQgkSQ1MUgkSU0MEklSE4NEktTEIJEkNTFIJElNDBJJUhODRJLUxCCRJDUx
  SCRJTQwSSVITg0SS1MQgkSQ1MUgkSU0MEklSE4NEktTEIJEkNTFIJElNDBJJUhODRJLUxCCRJDUx
  SCRJTQwSSVITg0SS1MQgkSQ1MUgkSU0MkkkuIp4bEbdExB0RcU9E/HkdvmdELIyIpRFxQ0RM65jn
  4ohYFhFLIuLYiau9pO1BZOZE10GNIuJ5mfmziHgO8C3gfOBk4MeZ+aGIuBDYMzMviohDgc8DRwCz
  gBuBg7LrQIiI7kFDLR/wOJq8gpHs68yMca6QJhnvSLYDmfmz+va5lH26BjgFuLwOvxw4tb4/GViQ
  mesy8yFgGTB369VW0vbGINkORMSUiLgDWA0sysx7gemZ2Q+QmauBferkM4EVHbOvqsMkaVSmTnQF
  1C4zNwAvj4jdgRsioo/N25pse5I0LgyS7UhmPhUR1wOvBPojYnpm9kfEDOCHdbJVwH4ds82qwzYz
  f/78X7zv6+ujr69vPKqtbdiiRYtYtGjRRFdD2zg72ye5iNgbWJuZT0bErsANwB8DxwKPZ+alg3S2
  H0lp0vo6drbv4OxsVxvvSCa/FwKXRzmbTwGuyMx/rn0mV0XEOcBy4DSAzLw3Iq4C7gXWAm8fdmJI
  Ug/ekagn70h2JN6RqI1PbUmSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKa
  GCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKa
  GCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKa
  GCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKa
  GCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqMnWiK6DJb/r0OfT3x0RXQ6M0ffqcia6C
  JrnIzImug7ZBEZEeG+oWEWSmVw3ahE1bkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQ
  SJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQ
  SJKaTJ3oCmjymzFjf/r7l090NTRK06fPYfXqhya6GprEIjMnug7aBkVEDvfYiAjA42jyCkayrzMz
  xrlCmmRs2pIkNTFIJElNDBJJUhODRJLUxCCRJDUxSCRJTQwSSVITg0SS1MQgkSQ1MUgkSU0MEklS
  E4NEktTEIJEkNTFIJElNDBJJUhODRJLUxCCRJDUxSCRJTQwSSVITg0SS1MQgkSQ1MUgkSU0MEklS
  E4NEktTEIJEkNTFIJElNDBJJUhODZJKLiFkRcVNE3BMR34+Id9Xhe0bEwohYGhE3RMS0jnkujohl
  EbEkIo6duNpL2h5EZk50HdQgImYAMzLzzoh4AXA7cArwVuDHmfmhiLgQ2DMzL4qIQ4HPA0cAs4Ab
  gYOy60CIiO5BQ9UB8DiavIKR7OvMjHGukCYZ70gmucxcnZl31vc/AZZQAuIU4PI62eXAqfX9ycCC
  zFyXmQ8By4C5W7XSkrYrBsl2JCL2B14G/CswPTP7oYQNsE+dbCawomO2VXWYJI2KQbKdqM1aXwTe
  Xe9MutsqbHuSNC6mTnQF1C4iplJC5IrMvLYO7o+I6ZnZX/tRfliHrwL265h9Vh22mfnz5//ifV9f
  H319fWNcc23rFi1axKJFiya6GtrG2dm+HYiIzwGPZeb7OoZdCjyemZcO0tl+JKVJ6+vY2b6Ds7Nd
  bQySSS4iXgv8C/B9ytk8gQ8AtwJXUe4+lgOnZeYTdZ6Lgd8D1lKawhb2KNcg2WEYJGpjkKgng2RH
  YpCojZ3tkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpi
  kEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpi
  kEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpi
  kEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpi
  kEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpi
  kEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQaIxc9xxsGQJLF0KF1yw+fjzz4fFi+H2
  2+Guu2DtWpg2DQ46aOPwxYvhiSfgvPPKPL/92/D978O6dfDyl2/d9ZE0PJGZE10HbYMiIod7bEQE
  Ecn998PRR8Mjj8Btt8G8eSVUejnxRHjPe+CYY7rLgpUrYe5cWLUKXvIS2LABPvEJeP/74Y47GldM
  PQQj2deZGeNcIU0y3pFoTMydC8uWwcMPl7uHBQvglFMGn/700+HKKzcf/vrXwwMPlBABuP9++Ld/
  KwEjadtkkGhMzJwJK1Zs/LxyZRnWyy67wPHHwzXXbD7uzW/uHTCStl0Giba6k06Cm2+GJ5/cdPjU
  qXDyyXD11RNTL0mjY5BoTKxaBbNnb/w8a9bG5qlu8+b1vus44YTS4f7YY+NTR0njwyDRmLjtNjjw
  wBImO+1UwuK66zafbvfd4aij4NprNx83WL/JAPtJpG2TQaIxsWEDvPOdsHAh3HNP6Wy/7z4491x4
  29s2TnejLpb5AAAKjUlEQVTqqXDDDfDMM5vOv+uupaP9S1/adPgpp5QO/Fe9Cr7yFbj++vFfF0kj
  4+O/6mkkj//OmLE//f3Lx7lGGi/Tp89h9eqHhjWtj/+qF4NEPY0kSLTjMEjUi01bkqQmBokkqYlB
  IklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlB
  IklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKaTJ3oCmjymzFjf/r7l090NTRK06fPYfXqhya6GprE
  IjMnug7aBkVEDvfYiAjA42jyCkayrzMzxrlCmmRs2pIkNTFIJElNDBJJUhODRJLUxCCRJDUxSCa5
  iLgsIvoj4q6OYXtGxMKIWBoRN0TEtI5xF0fEsohYEhHHTkytJW1PDJLJ7zPAcV3DLgJuzMyDgZuA
  iwEi4lDgNOAQ4ATg41Ge3ZWkUTNIJrnMvBlY0zX4FODy+v5y4NT6/mRgQWauy8yHgGXA3K1RT0nb
  L4Nk+7RPZvYDZOZqYJ86fCawomO6VXWYJI2aP5GyYxjVn53Pnz//F+/7+vro6+sbo+posli0aBGL
  Fi2a6GpoG+dPpGwHImIO8OXMPLx+XgL0ZWZ/RMwAvpGZh0TERUBm5qV1uq8Bl2TmLT3K9CdSdhj+
  RIra2LS1fYj6GnAdcHZ9fxZwbcfweRGxc0QcABwI3Lq1Kilp+2TT1iQXEV8A+oBfioiHgUuADwJX
  R8Q5wHLKk1pk5r0RcRVwL7AWePuwbzskaRA2baknm7Z2JDZtqY1NW5KkJgaJJKmJQSJJamKQSJKa
  GCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKa
  GCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKa
  GCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKa
  GCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKa
  GCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKa
  GCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKa
  GCSSpCYGiSSpiUEiSWpikEiSmhgkkqQmBokkqYlBIklqYpBIkpoYJJKkJgaJJKmJQSJJamKQSJKa
  GCQaM8cdB0uWwNKlcMEFm48//3xYvBhuvx3uugvWroVp08q4d72rDLvrLjjvvI3zvPKVcMstZb5b
  boFXvGLrrIukEchMX742e5VDY3iAjMhctixz9uzMqVMz77gj8+CDM6H368QTM7/+9fL+0EMzv/e9
  zJ13zpwyJXPhwswDDijjbrop85hjyvvjjy+fByvT12hfI9vXE31s+tr2Xt6RaEzMnQvLlsHDD8O6
  dbBgAZxyyuDTn346XHlleX/IIeVu49lnYcMG+OY34U1vKuMefXTjXcsee8CqVeO7HpJGbupEV0Db
  h5kzYcWKjZ9Xrizh0ssuu8Dxx8M73lE+3303/OmflqD4+c/hDW+A224r4y66CL71LfjwhyECXvOa
  8V0PSSPnHYm2upNOgptvhiefLJ+XLoVLL4Wvfx2uvx7uuAPWry/jLrus9JnMmQPvfS98+tMTV29J
  vRkkGhOrVsHs2Rs/z5o1eDPUvHkbm7UGfPazcMQR8Ju/CU88AfffX4YfeSRce215f801g9/lSJo4
  BonGxG23wYEHljDZaacSFtddt/l0u+8ORx21MRwG7L13+Xe//eCNb4QvfKF8XrYMfuM3yvvXvW5j
  wEjadthHojGxYQO8852wcCFMmVKapO67D849tzwX9MlPlulOPRVuuAGeeWbT+a+5BvbaqzwS/Pa3
  w9NPl+F/8Afw138NO+9c5jn33K27XpK2LDJzouugbVBE5HCPjRkz9qe/f/k410jjZfr0Oaxe/dCw
  po0IMjPGt0aabAwS9TSSINGOwyBRL/aRSJKaGCSSpCYGiSSpiUEiSWpikOyAIuL4iLgvIu6PiAsn
  uj6SJjeDZAcTEVOAvwKOAw4DTo+IX9lay1+0aNGkK3uylTveZUvdDJIdz1xgWWYuz8y1wAJgiN/p
  HVuT8eQ52cod77KlbgbJjmcm0PE7vayswyRpVAwSSVIT/7J9BxMRrwLmZ+bx9fNFlP/17tKu6Tww
  1JN/2a5uBskOJiKeAywFjgYeBW4FTs/MJRNaMUmTlr/+u4PJzPUR8U5gIaVp8zJDRFIL70gkSU3s
  bNdmxuoPFiNiVkTcFBH3RMT3I+JddfieEbEwIpZGxA0RMW2U5U+JiMURcd0YlzstIq6OiCW17keO
  RdkRcXEt766I+HxE7DyaciPisojoj4i7OoYNWk5d7rK6PseOouwP1XnvjIhrImL30ZSt7ZdBok2M
  8R8srgPel5mHAa8G3lHLugi4MTMPBm4CLh5l+e8G7u34PFblfhS4PjMPAV4K3NdadkTMAd4GvDwz
  D6c0K58+ynI/Q9k/nXqWExGHAqcBhwAnAB+PiKE6y3uVvRA4LDNfBixrKFvbKYNE3cbsDxYzc3Vm
  3lnf/wRYAsyq5V1eJ7scOHWkZUfELOANwKc6Bo9FubsDv56Zn6n1XpeZT45B2U8BzwLPj4ipwK7A
  qtGUm5k3A2u6Bg9WzsnAgroeD1GCYO5Iys7MGzNzQ/34r5R9OOKytf0ySNRtXP5gMSL2B15GORFN
  z8x+KGED7DOKIj8C/BHQ2ck3FuUeADwWEZ+pzWZ/FxHPay07M9cAHwYepgTIk5l54xjVGWCfQcrp
  3p+raNuf5wDXj1PZmqQMEo27iHgB8EXg3fXOpPsJjxE98RERJwL99W5nqKaU0TxJMhX4NeCvM/PX
  gJ9Smo1a6/wi4L3AHGBfyp3J77SWO4Qxf4omIv4zsDYzrxzrsjW5GSTqtgqY3fF5Vh02KrUZ54vA
  FZl5bR3cHxHT6/gZwA9HWOxrgZMj4kHgSuB1EXEFsLqxXCh3YCsy87v18zWUYGmt8yuBb2Xm45m5
  HvgH4DVjUO6AwcpZBezXMd2o9mdEnE1pSjyjY/CYlK3JzyBRt9uAAyNiTkTsDMwDrmso79PAvZn5
  0Y5h1wFn1/dnAdd2zzSUzPxAZs7OzBfV+t2UmW8BvtxSbi27H1gRES+pg44G7mmtM+WPQF8VEbvU
  DumjKQ8KjLbcYNO7scHKuQ6YV58QOwA4kPJHqMMuOyKOpzQjnpyZP+9a5kjL1vYoM3352uQFHE85
  8S0DLmoo57XAeuBO4A5gcS17L+DGuoyFwB4NyzgKuK6+H5NyKU9q3Vbr/SVg2liUTTkZ3wPcRekQ
  32k05QJfAB4Bfk7pc3krsOdg5VCesvo3ysMOx46i7GXA8rr/FgMfH03Zvrbfl3+QKElqYtOWJKmJ
  QSJJamKQSJKaGCSSpCYGiSSpiUEiSWpikEiSmhgkkqQm/x/+rumiaXVKzwAAAABJRU5ErkJggg==
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795f5793d0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEACAYAAABI5zaHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzsvXl4HMW5PXxK+77akizLsiXvyGLfsUFGBpt9C2FJSHK5
  CSEJCbk3uUmAACYszn0IN2G7IfDLRzaIEwJJ4AaM8cZqA8ZYlnfJkmzty2gdzUgajer741XNVPd0
  z/TM9GhGdp/n0WNPT3dX9XT16VOn3nqLcc5hwYIFCxaOL8RFuwIWLFiwYMF8WORuwYIFC8chLHK3
  YMGCheMQFrlbsGDBwnEIi9wtWLBg4TiERe4WLFiwcBzCELkzxtYwxg4yxg4zxn6s8X0+Y+wtxthu
  xlgtY+xr0nfZjLFXGGMHGGP7GGPnmFh/CxYsWLCgARYozp0xFgfgMIBqAG0APgVwM+f8oLTPgwBS
  OOf3MMZmADgEoJBzPs4Y+x2AdznnLzLGEgCkcc4HI3M5FixYsGABMKbczwZQxzk/yjl3AVgP4BrV
  Ph0AMif/nwnANknsWQBWcM5fBADO+bhF7BYsWLAQeRgh99kAmqXPLZPbZLwAoIIx1gagBsDdk9vL
  APQwxl5kjO1ijD3PGEsNt9IWLFiwYME/zBpQvQdADee8GMBpAJ5ljGUASABwOoBnOeenA3AA+IlJ
  ZVqwYMGCBR0kGNinFUCp9LlkcpuMCwA8CgCc8yOMsUYAS0CKv5lzvnNyv78B8BmQBQDGmJXkxoIF
  CxaCBOecaW03otw/BbCAMTaXMZYE4GYAr6v2OQBgFQAwxgoBLALQwDnvBNDMGFs0uV81gP1+Kjmt
  /h588MGo1+F4rq9VZ6vOVp39//lDQOXOOXczxu4CsBH0Mvgt5/wAY+yb9DV/HsA6AC8yxmoAMAA/
  4pz3Tp7iewBeYowlAmgA8G+ByrRgwYIFC+HBiC0DzvkGAItV234j/b8HwFU6x9YAOCuMOlqwYMGC
  hSBhzVANA1VVVdGuQlCYbvUFrDpPFaw6Tw2mss4BJzFNFRhjPFbqYsGCBQvTAYwx8DAGVC1YsGBh
  WmLevHlgjE37v3nz5gV97ZZyt2DBwnGLSWUb7WqEDb3rsJS7BQsWLJxgsMjdggULFo5DWORuwYIF
  C8chTihy5xw4/3xgbCzaNbFgwYKFyOKEIvf2dmD7dmDQSjpswYKFGEBfXx+uu+46ZGRkoKysDH/+
  859NO7ehGarHC+rr6V+HI7r1sGDBggUA+Pa3v42UlBR0d3dj165duOKKK3Dqqadi6dKlYZ/7hFLu
  FrlbsGAhVuBwOPDaa6/hkUceQWpqKi644AJcc801+OMf/2jK+S1yt2DBgoUo4PDhw0hMTMT8+fM9
  20455RTs27fPlPOfkLbM8HB062HBgoXYANOc/hM8QpknZbfbkZWVpdiWlZWFoaEhU+p0wpF7bq6l
  3C1YsECI5uTVjIwMDKqiOwYGBpCZmalzRHA4YWwZzoG6OuDkky1yt2DBQvSxaNEijI+P48iRI55t
  NTU1qKioMOX805bcX3oJePxx4/t3dQHJycDs2ZG1ZXbvBtLSqKxZs4CJiciVZcGChemLtLQ0XH/9
  9XjggQfgcDjwwQcf4I033sBtt91myvmnLbkfOQI0NBjfv74eWLCAiDeSyr25GVi5kmLpBwYApzNy
  ZVmwYGF649lnn4XD4UBBQQG+/OUv47nnnjMlDBKYxp673R4ccQpyT0+PLLkPDJCvn5zsLSs9PXLl
  WbBgYfoiNzcXf//73yNy7hOO3MfGImvLDA4CYgA80r0ECxYsWNCDIVuGMbaGMXaQMXaYMfZjje/z
  GWNvMcZ2M8ZqGWNfU30fxxjbxRh73aR6h0zukSZcNblbYZcWLFiIBgKSO2MsDsAzAFYDqABwC2Ns
  iWq3uwDs5pyfCmAlgCcYY3Kv4G4A+82pMiGWbZnsbPq/pdwtWLAQLRhR7mcDqOOcH+WcuwCsB3CN
  ap8OACI4MxOAjXM+DgCMsRIAlwP4f+ZUmRAMuYswyKlW7pF+kViwYMGCHoyQ+2wAzdLnlsltMl4A
  UMEYawNQA1LqAr8E8F8ATJ0uEAy59/bSTLT8/MhbJWrlbtkyFixYiAbMCoW8B0AN57wYwGkAnmWM
  ZTDGrgDQyTnfDYBN/pmCYMhdWDKM+Sr3F14A1q3TPu5LXwK2bg2uXqEOqN54I1BbG1xZFixYsKAH
  I9EyrQBKpc8lk9tkXADgUQDgnB9hjDUCWDK5/WrG2OUAUgFkMsb+wDn/ilZBa9eu9fy/qqoKVVVV
  upWy241PHRbkDvhaJQ0NwOHD2sfV1QGvvUZx60YxMBCaLXPkCNDWBlRWGi/LggULJxa2bduGbdu2
  GdrXCLl/CmABY2wugHYANwO4RbXPAQCrAHzIGCsEsAhAA+f8XgD3AgBj7CIAP9AjdkBJ7oFgtwNx
  Bvsdwm8HfK2SwUFvQjE1BgeBDRsMV8lzTCi2zPCw5c9bsGDBP9Si96GHHtLdNyA9cs7doGiYjQD2
  AVjPOT/AGPsmY+yOyd3WATiTMVYD4B0AP+Kc94Z8BQYQii0D+FolAwP0vVYvYHAQaGnRJ38thGrL
  OByWP2/BggXzYEj7cs43cM4Xc84Xcs5/PrntN5zz5yf/38M5v4pzfgrn/GTOuc9aUZzzdznnV5tR
  abebiD0UcldbJYOD9Lm93fe4gQHgyiuBt982Xjd5QDUYW8bhsJS7BQsnEp599lmcddZZSElJwe23
  3276+adlbpnhYSAjAxgfJ6IPBH/KfXAQiI/3Vefj48DICPCFLxi3ZjgPfRKTRe4WLJxYmD17Nu6/
  /378+7//e0TOPy3J3W4HMjOB1NTA6r2vDxgdBQoK6LOacAcGgKVLfcl9cJDKuOQS4N13iegDYWSE
  XhRJSd6yjBC2203HWraMBQsnDq699lpcffXVyMvLi8j5py25Z2QYI/cjR7xhkIC2LXPGGdrknp0N
  5OUBy5YBH3wQuF6yageMk7u4Bku5W7BgwSxMy8RhgtyN+O6yJQMAKSmkkicmKNpmYAA4/XRf8paJ
  es0asmZWrfJflhwGCRj33MU+FrlbsAB89BHw5JPAX/4S+bLYQ+ZMveEPRnFJJx1Ma3I3EjGjJve4
  OCJ4p5OU9eAgkfvvfqc8Th4YXbMGuP124Be/8F+WHAYJGPfcxT6WLWPBAtDURD3uqUAskrJZOO5t
  GTW5A167ZGSEyL6iwjccUlbuZ5wBdHTQQhz+EKotYyl3Cxa86O2lPwvh4YQg94ULlduEXSLIODcX
  SEwEuru9+8gWS3w8cOmlgUMiZbUvlxMIFrlbsODFiULubrcbIyMjcLvdGB8fx+joKNxGwv8MYtqT
  eyBC1FPuw8NKMl6wQDmoqrZY1qwB3nrLf1layj0YW8YidwsWiNgHBigc+XjGI488grS0NPz3f/83
  XnrpJaSlpeHRRx817fzTntz9KfehIfqbNUu5XdglMhmryV09OLp6NbB5M+By6ZenVu7B2DLp6Zbn
  bsEC4FXt/f3RrUek8eCDD2JiYgJut9vz98ADD5h2/uOa3OvrgfnzvWGQAsIuUSv3ujrvPmrlXlhI
  59qxQ788tXIPxpaZOdNS7hYsAF5yPxGsmUjiuCR3l4uIu7bW15IBjCl3NVED3pBIPajVfjC2zIwZ
  FrlPJYxmFLUw9ejtpUAHi9zDQ0yS+4svAvfeq/+9IPe0NG1yv/FGoLgY+O53gXPP9f1ey3OfP5/S
  /wqoLRaAUv/6m8ykFQppVLnPmBEZW2bLFuCmm8w/71Tj9NOBVnWi6TDwjW8AEVp03kKY6O0FSkst
  cg8XMRnn3tVFuc31MDTkX7nv3Qt8/jmwaJH28epoGYBeBh0d3n20lHteHm3Xg/qYlBRgbIzSC8TH
  6x8XSVvmyBHtpGjTDceOUbuYrV4DLETU1ADnnGPOuSyYi95e4JRTLHIPFzGp3EdHSTnrwZ8t43JR
  mt558/SP17JlCguJ3EV3XW2xAIE9dLXaFys/BQrXHB6OHLl3dNDvNZ3BOf22Zl2HWFPXSL4gC1ML
  zikf1Pz5FrmHi5gld38K2R+5Hz1KKlwk79KCli2Tmkp/YoRebbGI4/wRsJbaN+K7Oxy0vqtIi2Am
  jgdyHxmhsDizrkOE2lnkHnsYGqIeb1GRRe7hImbJPVTlrhXXroaWLQNQgxIWhpZyD0TUescEUuQO
  B12PSItgJo4HchdtwazrEAPnFrnHHnp7yf7MyzOH3OfOnQvG2LT/mzt3btDXHrPkHqpyN0LugnDV
  NkpRkdd311LugWyZUI4B6IWRlhbc4h5G0d4+/cldtAWL3I9/mE3uTU1N4JxH5a+/nyMjg+PAAY7S
  0vDO1dTUFPS1xyS5j4wEVu56+dyDIXct5S6Tu1qFJyd7B0i1EIraB6guaWnBLe5hFEK5T+fQv0iQ
  e1qaRe6xCLPJPZrYtAm44AIa/+vsnPpnMCbJfSqUu9pzB7zkPjpK3ndKivI4MUAqq2sxRZpz8gtD
  tWXS04Nbc9UIOKfrYcx8u2cqEQlbpqIitsjd7Y6tF/D4eHTqczyQe38/RXa9/jpw2WXEI/J43lTB
  ELkzxtYwxg4yxg4zxn6s8X0+Y+wtxthuxlgtY+xrk9tLGGNbGGP7Jrd/z0h5o6P04I2NaX8fSc+9
  o8O7XT2zVT5W4JpraGLT8DDVRx3yGE1bZmiI6pOXN72tmUgo92XLYovcv/zl4NbqjTSuu87YAjVm
  Y7qTe0cHrfq2bBkp9yuvpO2yKzBVCEjujLE4AM8AWA2gAsAtjLElqt3uArCbc34qgJUAnmCMJQAY
  B/CfnPMKAOcB+I7GsT4YHaV/tdT7xITXxlCTu9tNuaDLy/2fX/bctchdy15RHysg3tBak57E/sHY
  MmaSe0cHXZPIfT9dEQnlHmvk3txMbSlW0NmpnNQ3Vejtpcix6Uruhw7R/ImuLpp0N38+bY9Jcgdw
  NoA6zvlRzrkLwHoA16j26QCQOfn/TAA2zvk457yDc74bADjndgAHAASchiIeOi1ydzqpmxMf70vu
  zc301lTbKWoIwlUPgMrKXYuo5WMF7HbKFqn3QjBqy0TCcz9eyH1wkO6pGdfQ30/tq7Q0tsi9tze2
  7pHdPvVkBHiVe04O3SuzQ4MjDT3nIFbJfTYAeZmKFvgS9AsAKhhjbQBqANytPgljbB6AUwF8HKhA
  ody1BlWFJQP4kntdXWBLBiD7w24n2yIz07vdiHJXWyfiIdi5U/sYo7ZMJDz344XcBwZoZqoZ1yDW
  1E1NtcjdH6JN7gkJ1G79BVbEImKJ3M1KP3APgBrO+UrG2HwA7zDGTp5U62CMZQD4G4C7xTYtrF27
  FgD9QHFxVRgcrPLZxx+5G/HbASLR7m46PkH6BYwqdzW5X3YZrfcYri1jtucuyL2/P7aII1gMDtLE
  NDOuQbQRsZZuLIBzi9wFBLkDXmsmN3fq6xEq6uoot5Ua8hyacLBt2zZs27bN0L5GyL0VQKn0uWRy
  m4wLADwKAJzzI4yxRgBLAOyc9N7/BuCPnPN/+itIkPsbb5B/HqxyD4bc29t9lfbMmTT12Wbz77kL
  suac6nPjjcBXvkKDq1r7R9uWaWmJLeIIFoODpNz95RsyCtG7iyVyHx6mtBmxdI9iidyFbz0d4E+5
  79sX/vmrqqpQVVXl+fzQQw/p7mvElvkUwALG2FzGWBKAmwG8rtrnAIBVAMAYKwSwCIAYjvn/AOzn
  nD9psP4YHSXvXMtzN4PcxcIYaqUdH0+DOfX1+spdVtdjYxRRc9llRPR6yj1aoZDHky1zPCt3MXAY
  K/dobIxeNrFC7tMFnHvXkFAjJj13zrkbFA2zEcA+AOs55wcYY99kjN0xuds6AGcyxmoAvAPgR5zz
  XsbYBQC+BOBixtjnjLFdjLE1gcocGSEVHUnlDmir86Ii4PBhY9Eyoi45OcB55wX23F0uGvRtbvY+
  yOPj9JeUFLwtwzmNyDc3az8E0SR3M4lTKPdwrqGzk36nAweiR+5ut/ZKXtEmd86941yiHvHxxslI
  tGEzMJ3JvbOTOCknx/e7mPXcOecbACxWbfuN9P8eAFdpHPchAD/JbrURinLnHGhsDBwGCQQm90OH
  gDPO0D9WWCdyXb76VaV/r7X/ww8DTz1FRH7yyRQHKywZMUFqaChw/QU2bABuuIF6G3199DKU4+yj
  Re4NDcBFFxGZmoFwlXtzM7WLoiKaZVxREZ3EYb/+NSW2e/xx5fZok/tnnwH/9V/A1q3eehQV0bjU
  yEjg6LPHH6f2+5OfhFcPMfYgPPbpRu719cDChdrfxaRyjwYEuQdS7ikptC/n9CIQI+yBkJJCjVHL
  RikqIl/WyICqXJevfx342tf873/gAPCb3wDvveclPmHJqPc1ggMHgDvuoHPl5fmSaXs7rR871eT+
  1lvk88tqMByEO6Da3U1x7c3N9ADOmBEd5b5vnzZZ9fZSe4sWube2kuoUEOk9CguV2/0d390dfj2c
  TlqBKTWVPk9HctdzDmbMIAHmbw1msxHT5B5IucfFkQoeGfGqVCMQKllPuY+OGguFlOuiB3l/cfPl
  t7iYnare1wjkxqReJtDtBnp6yN6aanIXSxEaIQYjkJV7KFPitSaYRYPc6+u100D09gJz50aP3EUK
  ZAHRro2qTbMifWRLBji+yD0+ngjejJegUcQkuRv13AGvNRMMuQNEqFrqfNYs+tfIJCYj5C72lwdb
  srPpBeJweG0Zsa9Z5N7TQ93bxMSpJffRUeDdd8kGMasbOjhI1lNiYmiErJUELtbIvbQ0uuQuC6lo
  kbvNdvySO0DcMpXWTMyRO+c0Wj9jRmDlDoRH7nrKHTA+oCpPgvK3f1cXEUpODvUciopI2aptmWBC
  If2Ru/x7TCW5f/ABedonnWROQ5YTsoV6HVqT0pKTqd1MVXKs0VFaKjBWyd1u92Y7tZR7aAhE7lPt
  u8ccuY+NkdWSkxNZck9P1/fcAWOhkMHYMuobL260bMsEo9zHxijuW+TwjxVy37ABWLPGvIZst3sT
  soV6HVqT0hIS6JxT5YE2NdFU+lgld8A7mG+Re/AQPXOL3P1gdJRUVXZ25G2ZUJV7KLaMHrnLtkww
  nntTE1BSQlYFEFvkftll5jVk2VIJh9y17udUWjP19WSTxTK5y9k3BbkbmVVps1nk3tNDY4By/dWw
  yH2S3LOypoctY4Tc/Sn3UG0Z9fnmz6e8KSLRkj9yDybcMhi0tBAZnHFGaA1ZrJUqQx4MDceW0eqJ
  TSW519UBlZX65F5U5LUkw8HwcPDJtgSBytk31cqdc2pfdXXKmcJut3npLbTIvbubymxoiK1892oY
  mWMjwqzr6rT/zJorIBBz5D4y4l+5yzYGEDq5L18OLNFIPpyVBVx9tfZEBCB4W0aP3MXgSqi2jPp8
  6emkDFsnE0PU1ZEaBHxJ8eKLAYPpKYLChx8CF15Idkco5P797wO//a1y2/Gk3P2Re36+OT2sL33J
  G69uFL299MxpKXdxD996CzjtNODyy4GyMm+Yq1iAwgxyb2qiqCiB/HyyHS+/nMZxdu4Mv4xIwcgc
  m9NOA7Zvp+tR/519tm/bDxcxR+6jo/TQCeWuflurJ1WESu6PPkoTidRgDPjnP7UnJAHB2zKBPPdQ
  bRmtDJjCmuGcFn5YtYq2q0nj2DHgX/8yVk4waGvzvlBCIfdjxyh2X4bsl09n5V5fT+1Nj9zz8swh
  985OiqcOBiIU0x+5/+tfwP33U7ubOdObe15MOgq33uo2C5Dl+NlnVOZFF5H1Eavo6FC+mLSwYgXN
  ftdS7ffdR6reTMQkuScn06BqQoLvwyC+FwiV3ENFsLZMUhJ1tw4diqwtA9DsuPp6YP9+Us+LJ+cU
  y6QxPk5dXRGLbibkexAKuXd0KMcNAGWky/Gs3M0i98HB4JdUtNlIjattmcJCuieck3JfM5k4RL63
  Zo0X1NWRJVVRof29nk0bKwiXf9RjZmYgZskd0L6hWsrdbvdO2Ik0grVlxIQpsdydQLjRMlrkLhqI
  iFgRywTKpNHdTd3d9nbyyM2E3MBlYgjmeHUDN8OWibZyd7not1661Jd4nU7yyFNTzSP3YOZKuFy0
  /5w5vso9PZ3Eyc6d9FwuW0bfq8ndjPECdZtVI9bJvb3dIveAkMldy3fXUu7Hjnkn7EQawdoyAD0k
  CxYoG66WLZOSQg+IiDfWg8tF11xWptyuJneBpCTvw9fRQUm4LrnE/DU71YO48fHGB2/dbnrxNDUp
  B5bMGFCNtnI/epS67FlZ3nQZAn199NJnzBxyHxgITrn39dGzIz9r8vyNoiLgd79TEq+a3EWvI5x0
  1SLKSg96Y3CxgnCVe3k5+faBnv1gEHPkLgZUAe23tRa5NzZ6Z5ZGGsHaMuIYtcoWeTvEKkyAV+UH
  Ul7HjtH1yr8DQGXU1AA7dgDV1d7tMnGIRrhmjfnWjLqBB2PN2Gw0iF1QoMyRczwod9HLktNlCMgR
  IpmZ4ZH7xAS9TIMhd1G+/KzJ7bqoCHj5ZSXxyiGSZlhKTidNfpPbrBqxrtzDJfe0NOpRm9mbjjly
  FwOqQHDkPhV+OxC8LQNok3tKCtW9tVUZ/WOE3PXCrkQ45Jln+s6cVZP76tXA5s3mhl+pG3gw063F
  seru6fGg3OX7lZqqvL8yuYer3EUvKRRyz87WJ/ehIeVAp55yD7Xu778PnHKKfoQacPwrd8B8ayYm
  yd2fLaPluU8luScmkkISK+cEY8uoUVREZGwWuWdlkfKVLRkBNbkXFQHz5pHKl6GOtBgaAvbupT9/
  E0rGx+l7edwjGOUuPEt1Aw9Fudvt3pmnImOoFrmr11EVYX3hQv0bqsldJt9QyF3kJVJDkLMeuWtd
  n6zc1QOqAN2Tc89VEq8euWtZcP39gcdd1DaiFsJV7sFGEMlwu/2X7XLRdebnh14GcIKRu1HlfuzY
  1JG7bJ0YJfeLL6YHRI2iIpqcIWwZwFg4pL+Y2ptuAq6/3ne76PLLCkNtzYjzyg/jffeRyr/2Wsod
  rwcxUCvnkw+G3EW9RMSPgBwKadS2+Na3gJdeov87HGSFaI3HyMq9oYFijcPFnj20cIsMs8n9ueeA
  Bx7w3S7IWY/cy8t9CTiQcl+xgtJZy5B7ZIGU+xVXkDL3BzkSRw/hKPeenvAiel591fc3kNHVRaIm
  PuiVK5Q47sld9tyNDqi63VNH7oCXgI2S+7p13rBEGUVFygFVwFg4ZEeH/hjDU09pLxigVu6AL7lv
  2EAKRCaAlhY6Z00NRU3oKRitaIFgFgX2Z8sEq9wPHPD69nqqHVCSe08PiYRwZ0EePEj1l3PWmE3u
  Npv2Qij+lPvEBKlX9ctWS7kPDXnb9Y03+q5TEIwtI98LLTQ10TlOO01/HyA85V5XR3ULdeLegQP+
  Y+zNCsM+7sk9FOUOTC25CwI2Su56EHUO1pYJpTGJh08m4fPOo8YkJqQIopcJQJSVnk77b9livE6h
  KPdwbRmRwEmUqzeYCijJfXCQ2la4vm59PYmNpib6LP4velpmkLt4Savhj9zFy0aP3PWUuxbkMFd/
  5N7bq/1CkfH229QzjAvAROGQe309nT/UAIL6ev9lm0Xu6l5ruIhJcheeulq5u930J3exBTFONbkP
  DlJoYaAlyPxB1DlYWyYccpePTUwky2jjRrqWbduoh6FF7oD/CBuzyL28nCwSkR8l2AFVm42OEeUa
  Ve6inYWb2Kmujv4VD2lzM42DiHaiJnc5h3m45D4wQPdUi9xFugB/yn1wkMZOxsa8okkLcpirP3IX
  v4W/39SI3w6EZ8vU1QHXXBMeufsr2yxyV+eHCheGyJ0xtoYxdpAxdpgx9mON7/MZY28xxnYzxmoZ
  Y18zeqwa/pS7+E6OF4+Wcu/upgatN+nCCPSUuxFbJhRyHxryPVYQ9ocfUq6dZcuUyaI6OkipARQO
  t2GDtnVhBrnPmkUvt7w8b46cYJV7fb1ycedglLuoRzior6dc9oLc1YPfkVbuBQXa5C4mGAWyZURo
  bqB2Le6tv7w46nuhVaetW2nORSCEq9yvu86bBiSU46dCuWdkUFs1amUGQkByZ4zFAXgGwGoAFQBu
  YYypU27dBWA35/xUACsBPMEYSzB4rAJqcpffmGpLBogOuaenU4x6OJYMEJotMzbmXZkoGGRkUJ3H
  xpRkt2YNdY3/9S/fPOxDQ9486gCRP+faOTDMUu6A0poJVrnX1ZF/Gy3lXl9Pv2OkyV1rJurAAP2G
  oSh3YcsYtRqLiiiXkJgEpUfu8r1QY/t2YNEiYzPLw1HuYuHqUOZ2iDGoqVDugLm+uxHlfjaAOs75
  Uc65C8B6ANeo9ukAICKrMwHYOOfjBo9VQD2gqqXcZaSmehf3mCqkpZFPbRa5B2PLdHWROgvkUaqR
  kUFdvqIipSorLaXzPf88KXM5EkLdaBmjB+Stt3zPr9XAZ86kgSgjs+7U5F5XR8c5nd7fx6hyX77c
  6wlPpXK326m8FSsiT+6A7xq1g4PUywpFuaemki/f12ec3Ovq6N6Ihem1yF3cCy0YtWQAeuZGR0Nb
  XEXcA722G+jYxYvJKtFb8N1schd2VrgwQhGzAcjj3S2T22S8AKCCMdYGoAbA3UEcq4C/SUx65K4m
  rEjDbHJXK/fDhykbnlb3LNSGlJFBDVXr2DVr6AE96yyl2tYqS0/9aO2bmEiqLlA2v5EReqHl5tLn
  BQtI1X3wAdVbvMj0yE8MCAN0jaeeSu1BKFyjyj0vT5uIjA60HjlCvumiRUpyl6OXApG7Vqy4elFl
  u53ul7qu4Sh3xuh3amszTu779/t/MdXX04tOj9yNhEAKiPoJPnC7abxCRne3r2XY20vEnJ9P9s/7
  7weeuCafR9w/f7ZQuHllZCxYAHz0ET3/4q+2NrQoLp3EtkHjHgA1nPOVjLH5AN5hjGkk1PWPtWvX
  4t13SYWfc04V8vKqApJ7WRnwxS+GV/lgYZYtM2MGcNttygHis84CHn8ceOcdutbPPlMeEy65q2Ow
  AeCWW6jxqvOwa5W1ciXw5S9TY5NfqHr1EucTvr0WOjvpe3G+iy6i2OL//E+KkxZISqIHVSzFCAC7
  d1OdurrvsBbFAAAgAElEQVTod6yvB77zHW+5WuunCqiVu3owWeD3vwc2bQL++lf9awC8CrG8nPLJ
  jI/7pmZWk7uwNQBtghwaoslmbW3eHojdTu1eXdfBQep5haLcgeDJ/b33ApP7OeeQteFyKdv54CB9
  H8zcAtGTz88ngfHww95JeJzTXJI//hE4/3xlHURep9xc+t327aMFZfRw8cXA008DVVXe4z//nMrW
  spDMVO4XXQS89hpwxx3ebfv30/yJhQuBbdu2YZvBmE4j5N4KoFT6XDK5TcYFAB4FAM75EcZYI4Al
  Bo/1YO3atejspLzXVVX0YMgNVT07FaDG/PjjBq7CRKSlUURHuOQeHw/84Q/KbTffTH/j49SQ1A0n
  HHLv6tI+9swz6Q8ITO45OTSZqL1dmb9aL/ZenO+UU/Trpi7n/PO1F2YQOXKGh73k/uabRB47dnjt
  kAULvOUKwtOCWrkvWqRN7p2dNC6hJig1RNkpKWR1HT1K7USecCaT+8QEXYtIFaFFkFu3Uq+mv19J
  7vLAt8DgIPVa9JS7CGEUEDMvhaWZlUUD2cEod7Hgjbru/f1Uj+Jib/732VKfXfRy9NZN0IKsnpub
  gU8+IZU9cyb1dhsaaDxIi9wFcnMDJ7NraaF2Jch9xQr/yt1Mcl++3FfQXXgh3ZeFC4GqqipUVVV5
  vnvooYd0z2XElvkUwALG2FzGWBKAmwG8rtrnAIBVAMAYKwSwCECDwWMVkNW5WuVoKfdowCxbxh8S
  EiiR0saNyu3hkDsQOMFaIHIHfAd9hoeJ+PSWLQzkYwdzTWoS2bCBVNiGDaRCXS562M1U7r299P3H
  H/uvm0wkCxZQaGlennJMRW7TYrKQP9tJWGCyLWS30/mDtWVKS4kM5TBT0WMD6OURjHJvadFX7keO
  eBWzVhswsiydGvKgqhhTeecd+rxhA12HejBSXU6gcQ2nk15M4ncXx/tb05lz31xOZiKUtREAA+TO
  OXeDomE2AtgHYD3n/ABj7JuMMdF5WAfgTMZYDYB3APyIc96rd6y/8uQB1Vgld7NsmUDQGgAK1d+T
  c4X4Q0EBEYDbbZzcOzv1xz0iSe4DA9Rdfuwxehi1CEVOX6CGmtz1lHtvLy1GHmgwTiaShQupTmoC
  k9u0ejxATTxikYz8fKVq1CP3QAOqGRlUnvCq1WuWBqvcAX1yl38LrTagtZJYIMjquaODFj8RJLxh
  A4U7hkvunZ3U22htpT9xvJ5yF203kmN+ESN3AOCcb+CcL+acL+Sc/3xy2284589P/r+Hc34V5/wU
  zvnJnPM/+zvWH+QB1Vgl96lQ7gDN3Nu4URltEq5yD3RsYiJ10202/ReJmtz91SmS5L5pE3DBBeS5
  NzRQrL6aUIIZUF2wgK5bHd3T20vjEoHC6GTCWrCAVKU/clf3KlJTiYRFps66OuqJnH22VzUK77y0
  VFu5Fxb65owHaFtSknbqAIFglLvoAYZK7mYo969+lewyh4Pu/Te/GT65d3R41zv429+8tp46LFve
  P9Jh2BEl96mETOApKcqGGkvk7nJFntznzKGGJfvPkSZ3sU9Hh3/lLodrRYvcxQIPiYlkYf3v//oS
  SjChkHl59CdH3wBEgpdfTj0DdfihgMNBUUElJfR5wQLvC0OGWrnLdWOMeoViEpsIFdRKDaD1uwr/
  XJ0zHqCXQnKyMt9POMp95kyq71SSu1q5n3ceeei/+hWNNZxxBrVL+cUWCrkXFVG7evZZGheIi/MN
  y1bvH0kcl+SuXtxAa0A1GpDjriMNMStUIFbIPdrKnXNlnPSaNUrlHIpyz8rSrm9vLylirTEQgYYG
  isQQ/rWs4GX4U+7y9QHeUEGtdLxaufLF+dQ9XsCYcs/Kou+MtOvERIr2iia5FxXR77NuHf0rVmMT
  oaMDA/TSlSO1jJL7pZcq25Ol3E2A7LkDyoYaS8odmBpyl313kQ4gHHL3F5IoUFRECq6nhzx4NQS5
  C4UUDLmPjfnGvQdL7rt2Aa+8QoPOixbR9tWrvXWTyzWi3OWoFT1yz8vTHwP58EOKrpDJSkTIBKPc
  xfXZ7d7ViVat0lbuYiUvcQ9cLvpt09K0yV1W7v5smYkJ4+26qEif3LVetALDwzRoOdvvjBdfCFtG
  TouxZg2VK17ysvCQx2AEjJL7rFnUGxDXEE3lrrfoTaDJgTFH7rLnDljkvnw5hZzZbNQoRThgsMjN
  JU/SSM+nqIgW58jJ0Q79y8mh8wj74sAB3/Vc5XPJk7HWr6d86zKCeUAuuojU85NPAt/9rvfBnTMH
  +Pa3KYxWlGtUuQ8NUW8sLs6XiETmw9xcCon75BPlOb73Pcr1/c9/UnIqgfR04M47fVM9G1Xu771H
  5JKTo63cxUpeYhGKoSHajzHjyr2+3msjAcocPkbwxS/SoKa4rtFRIpyhIfrdRais+jc9coRefsHO
  shbKfWCAriU9ndrDV79KvxWgJPfPP6c8PzKMkjtA91aIBr0BVX9t3yzoKXd1yKQaZk1iMg1aKX1j
  jdyn0pZJTqYG/M475CmGqhISE2mRByMoKiIl6q8s8RDl59NyfU8+qb1fbi7dP6eT7uWhQ96kYIBv
  crJAuPNO+tPCs896/19QQC8ff0pUkLusoNUqyW6n/ZKS6Jzq1ai6u4Ff/5piotX49a99txlV7rLl
  lJ3t9frVqyR1dJB6ll8UeuQulPuuXbTt7beBP/3Ju4+cw8cIfvpT7//l8YKGBq9XLddTIBRLRtRP
  ZPwUbTM1lRbwFpDJfcMG5SQ4wBi5X3op/f/f/s23bBkuF6XAfuaZ4K8lGMyc6R3olxcECTTAH5PK
  3R+5x4LnPpXKHfBO+Z+KLiBAZezebYzcP/mEVLM8oUmGCEsU5CTnWge8aWrlWHAzkJRED2R6uv4K
  OTK5C2JUE5FsXYiuudwdVlsbgeAvFBLQJnd/i1eLusovCj1bRlbuWotkBKvc1RB1V5O3WeQufgd/
  z4Fol+PjFE0llLe6jnrQO7eWcv/4Y5o9HGjuSLhISKA2pk5DcVyRu9qPjxaiRe5tbVNH7r29xshd
  RKwEOp94uOvqvBNQgMi+sIqK9C0ZwEvusi/vj9zj4+l88lqk4ZC7ni2zdy8pNUG8altGTJiR6xqM
  cu/ooPumXiQjWOWuhh65Z2bSC1GQqpnKXQ3RLvWIVy9/j4A/clcrdyNt3yxotcu9e/0fE3PkPh0G
  VKfSlgGoi5uVRd3oqSJ3+V8tyOQeKPmTaJhilSSXy/uA6aUtMANFRfqDqQC1JUHuRpQ7QP+XrZlw
  lbuWLfPqq0ri1VslKVjlriZ39X2LlHJXz1INZQKTqJ9Q7nptJlC79Kfc/QUsaA2oBpPVMlyo2+U7
  75Bd6w8xR+7WgKo21qyhCJFYIvePP/bN5aF3vo4O6lYmJpKiCpTiwAwEUu7x8dTl7ekJjdydTvL0
  /a1apIYR5f7pp0pFqDWgqq6rEeWelET1t9vJK1YvkhEpclfXNZK2zIwZ1Ev485+DJ/eBAeIXOUur
  XLas3Ds79RPxRQLqdmnkxRKT5B7ryj1a5G63Tw25i3jhQOTe2EizQ0USLz2Ihikn9RIRNJEmd3/K
  HfBG/RixZQAluff1edPlGoUR5c6YknjNVO5xcTQwvGSJb4bDSNkycl2dTnrJz5kT/PmN2DKMUdld
  Xdqiwx+5+zuvWrlv3EjZI/0lkjMT8r1Wz/HQw7SLljkRB1QB6oKJbnWkERdH0Sv+7JK8PArTM9It
  LSoCamq8ubFHR6dGuc+aBRw75n+flBRSYUK1ZmdT/RwOus/+yD1YSwYwptzPPFNJvGrlLr5Tk7sR
  5S6O07pvZij3ri7lTF2BWbMobn94mHpueoPc/mBEuQNE7nPnahNvqOQuyhaprqfSkgGoXkeP0v/3
  7KHrmD/f/zExpdzHx+nHk9OAxuKAamIixVibHeHhD+npwE9+4o3njTRuv53SyuqBMcqbLsd260FL
  uU8Fua9YQWkD/EGt3BmjyTUtLfQ5UuTOubZyP/984O67ldtk1SgySQL0cO/f77viVGqq72peQrkD
  lCfnllt865acTO06HHLfs0c5U1dg1Sr67ve/p/UAQoEQdk1N/tvMDTco86Gr6xgKuScmKhcf/+gj
  7fDXSEF+Zoy+WGJKueuttBRrtgwAPPXU1Je5du3UleUnTbQHjzxi7FyiYaalEdkmJk4NuZ99duDF
  IIRyl1+aCxbQRJtFi4jARc5yIHxyT0ykF4jLpR0KqUUYycneZd5kW2b+fDrf/v3KSUOBlPsPfqBf
  v3DadUYGhdBq+enXXUd/4SIry7tcpB78Ld6Tlka/jTpmHAjcFoV6j48nW1HO0x9pqMn9hz8MfExM
  KXct2yVWyd2CcURLuRuBWrkDyokwZit3wNum/eWalyEvMSeTu1jTdsMG46GQkYQgd3lZQbORlUXE
  bGRRbS3ExekvQm+E3AcGaKxpzpzgFhoJF+KZGRqiRIJGeg0xR+7hKPdnPnkGY+6xyFVwGuGDYx9g
  V/uuaFcDgHcFIBECF4vkLpOsTO42W2TIfWjImwvGCIQ1I5M7QFE1b71lfBJTJJGRQYPMoUTCGEV2
  NhF7OMSqZ80EaoviHoQa7RMORBDC5s20nKARS3hakbu/rJDuCTe+99b38MJnL0S2ktMEf6z5I578
  WCcnwBQjLY3uK+eUrkCQu1jkOFQVZgbUA6qAceWuJn6jSEvzlmk00kaoRjW5r1xJIaltbdFX7mJy
  VSSJT2TuDAehkru4B9Eg95wc4r/XXjM+cSqmyF1rwNSocu8f6Ud8XDweff9RDI8NR7ai0wBdji5s
  atgEHsqy6RFAUZHvKknd3USOU9m9VSMlhfxvtS0j8tVHypbp6AgcpilDT7lnZtKi6jt3es8nfGUZ
  8oBqpCDqFWnlHi1yj6ZyF8/Nq68aj9KJKXIPx3O3OW2YlzMPK+auwNOfPB3Zik4DdNo70TbUhkO2
  Q9GuCgAvuQMUZ93TQwnEomnJAN72Jiv3sjIKOxsfjxy5q3sLgaCn3AFlDhpxfn8DqpFCRga9qEtL
  I1dGtJV7tMgdoLrl5wNLlxrbP+bIPVTlbnPYkJ+aj4dXPowntj+BPmdfZCsb4+ga7sIFcy7A5obN
  0a4KACW5JybSRKm9e2OH3GUVnZJC9Tp40JtCVyA/P7aUO6DMHinOHy3lXlYW2Z6Y2crd6aQB6Tff
  DGwRiklUYr7GVEPMTzBq5Rkid8bYGsbYQcbYYcbYjzW+/yFj7HPG2C7GWC1jbJwxljP53T2MsX2M
  sT2MsZcYY7r6wQi563nuPY4e5KflY1H+Ipxbci7eaXjHyKUdt+gc7sStlbdiU+OmaFcFAHD99cr0
  q0YyT04FtJQ7QC+iTz7xJe/cXBo0nJiIHeVeWQl8//tUN3H+aCj3igrfXP1mY/Vq30yPwUIm9zfe
  oDkdTz8NfO1r/l9MYnHxlhaaiDXV+MIXgH//d+P7B3zHMsbiADwDoBpAG4BPGWP/5JwfFPtwzn8B
  4BeT+18J4Puc837G2FwA3wCwhHM+xhj7C4CbAfxBqywjA6r+bJn81HwAQFlOGVoHW7V3PAHgcDkw
  5h7DdUuuw31b7oN7wo34uBCmBJqIm25SfhbkHigOPdJISaG4ZXXUih65JyRQpMLQ0NSTe28vKXC1
  wGEM+OUvleePhnIvLQX+4z8iW8ZVV4V/Dpnc29qINI3E92dl0apbxcWRf1Fq4bbbgtvfiHI/G0Ad
  5/wo59wFYD0Af/MSbwHw58n/DwIYA5DOGEsAkAZ6QWginAFVm8OGGWkzAACzM2ejdejEJffu4W4U
  phdiVuYszM6cjc/aAyzZEgXEknLXilrRI3fA67tPtS3T3u7NPRPo/NFQ7tMFMrkHE4qbnU0LnUTD
  bw8FRsh9NoBm6XPL5DYfMMZSAawB8CoAcM77ADwB4BiAVgD9nHNdnyDcAVWh3Gdnndjk3jnciYJ0
  Wvy0uqw6Znx3GUVFlBc90gsdBIIgdzUWLKDp8nrk3tFBYkSE/wWDUJV7a6ux1ADRCoWcLlCTu9E2
  mJUFNDdPH3I3e+jjKgAfcM77AYAxVg7gPwDMBTAA4G+MsVs55y9rHfzyy2tx+DBNs6+qqkJVVZVh
  cu9x9KB0Fg3Tz86cHXVbZsw9hvlPzUf9d+uRnDC1T1XXcBcKM2jdugvnXojf1/x+Sss3AiNphacC
  KSnaCnrBAorD1yP3I0eCzwgpEKpyb2sLndynYhLTdEE4yh2ILrlv27YN27ZtM7SvEXJvBSAHN5VM
  btPCzfBaMgBwJoAPOee9AMAYew3A+QA0yf3KK9fivfeUOVSMDqjanJItEwPK/djAMbQMtuDYwDEs
  zJ/aofVOu1e5z0yfib6R2IsciiVy11LQIm+IHrnX1YVmyQDUpvv7Q1PuessZqs9vKXd9ZGR4l6wL
  htzF/YomuQvRK/CQnyRQRmyZTwEsYIzNnYx0uRnA6+qdGGPZAC4C8E9p8yEA5zLGUhhjDDQoe0Cv
  ID3P3eGg2Y1GQiEBUu5tQ21RncDT0Neg+Hcq0TXchcJ0Uu5ZyVkYHNVYtj3KiCVy11LQ6elEpHrk
  Xl8fHrkDwSv3zs7wlLtF7oTprNyDQUBy55y7AdwFYCOAfQDWc84PMMa+yRiTE2teC+BtzrlTOrYG
  FBnzGYAaAAzA83pl+fPcXS6KaojTqbHNaUN+GpF7elI6kuOTo6pYG/sa6d/+xikvW/bcM5MyMTTq
  Z9HIKKGoiMgmGIKLBPSUO0APcSTJPVjlznl4nrtlyxAEuQeb/kIMvE9lNshwYMhz55xvALBYte03
  qs+/B+Bj7nLOHwfwuJFy/IVCqr97u/5tdDu68eWTKTl0j6PHo9yBSWtmsBV5qSE+gWGioa8BOSk5
  UVPuZxWfBSB2lXt5OXDPPaF51mbivPNoxqwWvv517yLVMgS5y6mAg0Go5A4ER+5iYQnOSRxZ5E4Q
  5B5s+ouiIuCnP42NBYOMYNrMUFV/t/HIRrxx+A0AAOecbJk0idyjHA7Z0N+AlfNWRoXcFco9ORND
  Y7Gn3FNSgAcfjHYtiLy/8AXt7267TXvBEhEKOdW2DGCM3BMSqIfrctHnsTFvHnkLXnIPNiNpUhLw
  s59Frl5mI+bJXTTKoSHlG7Ohv8FDnPYxO5Lik5CS4N1BKPdooaGvAdVl1VGxZeRomeT4ZHDOMTo+
  OuX1OF4hSH2qbRnA+CpJ1joI+giV3KcbYorc9WagiugC+buGPi+5y367QLSVe2NfI1aVr4qOcpei
  ZRhjMavepyvMIvdglHtiIh0XCrlbYZBKWOQeBeiFOqrJnXOOxr5G2MfsGBgZ8PHbgejGuvc5+zA+
  MY5F+YvgnnBPaRIz94QbfSN9nrBQIHZ99+mKaCh3sb+l3MOHRe5RgF4jVJO7zWlDfFw8FucvRmN/
  oyL1gEA0Y90b+xtRllsGxhjKc8unVL33OHqQk5KDhDjvKFGsRsxMV5hB7snJwRNudral3M1AZqZF
  7lOOQOQuVH1DXwPKc8s9xBlrtkxjXyPKcyleqjy3fEp9dznGXSAzOdNS7iZCZF8Mh9yDVe2ApdzN
  Qno6kXt7+/FN7lFcA8cX/si9r8/7nSD3OVlz0NDXgOT4ZF9bJooDqg19DSjP8ZL7VCr3ruEuj98u
  kJWcZXnuJiIlhbJIThdytyYwKZGQQD2Zpqbo5zaKJGJKudtstFagAOcczQPNPrZMY18jynPKUZZT
  hsa+Rk3PvSC9AP0j/T5RIi2DLYrPg6OD6HX2mnod4uUDUPphI+TeMtiCCT4RdtlyGKRAZpKl3M3G
  /fcDJSWhHbtoEfDd7wZ/3Ne+Bpx5prF91cp9Otky4xPjaBvSTR4bEpoHmhWfMzJorsLxrNxjitzV
  y1d91PwRrl5/tQ+5N/Q1oCy3jFRxf4Mir4xAHItDYUYh2u3tnm2ccyx6ehEGRgY8257++Gnc9DdV
  svEwITx3wLgtc9PfbsLGIxvDLlvLlslKzrI8d5Pxk5+Eroazs4G77w7+uNtuo5WOjGA6K/c3697E
  ja/caNr5+kf6seTZJXBPuD3bMjJoroJF7lOEjg5g7lzv55rOGtjH7L7k3h/Ycwd8I2YGRgfgHHei
  x9Hj2dY1TAtJb2ncYtp1yMrdqC3T4+hBTUdN2GXLYZACmUlWKOSJhums3Ot767Gnc48pPVmAotcc
  LoeiN5CRERvpLyKJmCL30lLlVODazlo4XU6P564eUJ2XMw9H+4+ie7jbx5YBfCNmbA4b/eu0ebc5
  bVg9fzXu3XyvKYnG3BNuHBs4hnk58wAAc3Pm4tjAMYVq0EKfsw+1XbVhly9PYBKwQiFPPEznAdWG
  vgbYx+w42n/UlPMNjA54ziuQkUGq/XietRtT5K7OtlbbVYuR8RGFcne5XWgbakNpdilSE1ORl5qH
  PZ17fGwZwFe5C1IXJC+23XX2XXC4HHj9kE+yy6DROtSKGWkzPLNlUxJSMDNtpt/IHc45+kbMIXdN
  zz3ZCoU80TCdQyEb+xuRHJ9syvMAwGPDyvaoIPfjGTFL7pxz7O3aC+e4U0HuzYPNKMooQlI8tdby
  3HJ0O7p1bRm5K6ap3B02zEybibVVa/HE9icUx3/5tS/j45aPg7qGQz2HMD9vvmJbWa7/QdVh1zDi
  WBwO2w7D5XYFVZ4axwaOoThTmfQ7HOX+yHuP4KU9L4VVJxlv17+Nu968y7TzWdBGpJR7h70DZz5/
  Ztjt1B8a+hpQXV6NvV17TTmfP+U+FfjW/30Lr+x7RfO7C1+80LQeihoxS+7Ng81Iik/CyPgIUlK5
  h9xlPxuAZ+BSy5YpzChE53Cn57Pw2mXPvcfRg/y0fJxXch4O9hxUHL+9ZTv2d+8P6hq2Nm3FhaUX
  KraVZJX4Dcvsc9KM0jlZc1DXWxdUeTJsDhuODhzFKYWnKLaH47l/3vE5jvQdCblOatR21eLj1uBe
  mBaCh1gHATBXuT/63qP4rP0zdNg7zDmhChN8Ak39Tbh60dWmKveEuISokPvujt147rPnsLVpq893
  9jE73j/2Pna27YxI2TFL7rWdtTi16FTEsTgkp7qU5J7jJffynHIkxiUiI8k3ALgwvRBdw12ez3q2
  TH5qPooyimAfs8M+Rln8xyfGcbT/aNAToTY3bkZ1ebViW6AJVX0jfchNyUVlYSVqO0Nv0FubtmJ5
  6XIkxicqtoej3FsHWxXRReGidbA1Kvl2TjREQrk39jXi5b0vY0HegohNEGwfakd2cjbOKTknrGdB
  xsDoAJbOWBoVcr9vy324dsm1mi+qfV37AMC0l5gaMUvue7v2orKgEqkJqUhIGYHdTgOq8uxPgGyZ
  GWkzwDRGRgrSCxTKXVgwguRdbhccLgeyU7LBGENZbplnkY2WwRa4uTuoiVD9I/3Y370f55Wcp9ge
  KM9Nn7MPuam5qCyoDOtGb2rYhOqyap/t4SQOax1q9XRrzUDrUCt6nb2mvjAs+CIzkzKpAuaFQq59
  dy3uOusuLCtYFrEJgo399HwvnbEUR/qOYMw9FvY5B0YGcNqs0xSe+w03AFddFfap/eKDYx9gf/d+
  PH3Z06jtrPUJ2KjtqkVWctaJQe7z5nn/X9tVi8rCSqQkpCAxdQQANdDG/kZPJAoAzM+bj5np2kup
  FGb4KvfFMxZ7FbzThtyUXMQx+hnkCUfi30AK5X+2/w8OdNPKgduatuH8Oef7LIitjto52n8Uv9z+
  S89nj3I3SO5vHHoDb9e/7bN9c+NmrCpf5bNdrdwfe/8xtA+1++ynhnvCjfahdtPJHYjOClWh4sNj
  H+LlWs1lf/HbXb/Fns49U1wjQttQGx5971HFtmc+eQb1vfXIy6MIM8CcUMgjvUfwVt1b+MH5P/Dp
  iW6o34B/Hf5XeAVMQtiuyQnJKMsp87FKQ8HA6ACW5C9B/0g/HC7yqlatAs44I+xTe7C3ay/+99P/
  9XzmnOOezfdg7UVrUZJVguSEZJ8JlLWdtbhh6Q2m9VDUiClylxtgbVctKguI3OOTqX+ZnExEKA+e
  nj/nfLz6xVc1zzczbSa6h7s98bI9jh4szl/sHVhVLfAhx6Q39DWgYmZFQHJ/ufZl/GjTjwAAmxs2
  aypn9cPw/rH38Yc9f/B87h/pJ+Vu0Jb5v8P/h+d3KVcrPNp/FAMjA1hW4Lu6hDpx2HM7nzMUGdTt
  6Iabu023ZSpmVkwra+bF3S9i/d71mt+t37feNGILFv88+E88sf0JhSJ8+pOnsbNtp2dBEcAcW2Zn
  205cOPdCZCVn+fRE/37g7/j1zl+HV8AkGvoaUJZD42jLCpaZQnwDIwPIScnBvJx5np652fj97t/j
  +xu+7zn/hvoNsDlsnpXiKgsqfQaI93bvxQ1Lb0DzYLPnpWMmYorcBVxuF+psdThp5klITUxFfLJX
  uTtdTqQmpHr2jWNxWJCnvWJtckIy0pPS0T/SD4CU+qL8RZ4BVeG3C8izSRv7GrGidEXA7mePowfv
  HX0PHx77EJsaN2kqZ3Wem4a+BkWPos/Zh5zkHMzPnY/O4c6AYYtdji5sadyiiJ0XXr/ohciQlfsE
  n0C7vR2bGjf5LQMgImZgpil3Ufby0uURe8jMBuccmxo26b6Muoa7ItatDoRNjZvQN9LniQhzupyo
  761Hj6NHQe5mDKjKgQzqnmhDfwPePfquKRE0cjnh2pQCA6MDyE7JNpwKJBRsatyElWUrsfbdtZjg
  E7h3y7145OJHEB8XD0D7Wmo7a3HarNOwKH9R0IEbRmCI3BljaxhjBxljhxljP9b4/oeMsc8ZY7sY
  Y7WMsXHGWM7kd9mMsVcYYwcYY/sYY+cEKu+w7TDmZM9BamIqUhJSwCaVe0oK4HA5kJaYZvgCC9IL
  0Gkn393mIHKXB1bl+HiFLdPfgHNLzkWvs9dvo7U5bfhZ1c/w7Te/ja7hLpxadKrPPsWZxeiwd3h6
  EI39jega7vJ87hshzz0+Lh5LZizBvu59fq+p004vgM87Pvds29yo3WsAlJ5793A3EuISsLVxa8AZ
  gFTGJA0AACAASURBVK1DrSjPLTdNufc4epCRlIGTZp40bZR7Q18DhsaG0NjfqDnJrdPeGRVyd0+4
  sa1pG5bOWOopf3/3fkzwCdgcNtOVu/DCAd+eaGMfxaV/0vpJeIWoyqksNJHck7MjlqG1x9GDhr4G
  vHz9y9hQvwFrt61FQlwCrltynWcf9bV02jvh5m7MyphFxB8BayYguTPG4gA8A2A1gAoAtzDGFEsD
  c85/wTk/jXN+OoB7AGzjnPdPfv0kgDc550sBnALgQKAyhSUDAKkJqYhP8ir3YMldjpixOW0KW0ad
  cExtyyzMX4iC9AJFfhoZY+4xjI6P4jtnfwdj7jGsnLdSUzknxSchJyXHU4+GvgaMT4x7ehR9TvLc
  ARi60V3DXbhk/iXY3LAZACliPUsIUC611zrUisX5izEzfSZ2d+xW7Mc5x5t1b3o+tw624qSZJwVU
  7rWdtTg2cMzvPuJ8szNne3ICRQNv1b2F8Ylxw/tvatiEyxdejtSEVEVvC6Df3ea0ob633jPwN+Ye
  MzWVhR52d+xGYXohLp1/qae9CPKwOW2RV+6TPdHxiXE0DzbjS5VfwqYG6g1yzkOeEKhW7ns694Q9
  c3xghJR7pDK0bm3cihWlK5Cflo8fnf8jPPzew3js4scUQR7q51pwHGMsYA/l7fq3g2qzAkaU+9kA
  6jjnRznnLgDrAVzjZ/9bAPwZABhjWQBWcM5fBADO+TjnPGBMXn1vPRblLwJAMzxZotdzd447kZqY
  6u9wBeSImR5HD0qzSzHBJ+BwOXxy0pTllqGpv8mz0lN5brnf1ME2hw15qXlIiEvAS9e/hHtX3Ktb
  D/k8DX0NSEtM8/QohHIHgLOKz8L2lu1+r6lzuBO3LLvFY628su8VlGaXemL+1ZCX2msdbMXsrNmo
  Lqv2PIzyea98+UqP/9c6NEnuAZT7L7b/Ai989oLffQAaAJydReQeDVvGPmbH1euv9nmp+cPmxs1Y
  VbZKkxhsDhuykrMwN3suDvUcAkBe6yV/vMTzOVIQkVEyMdR21qJiZgUFCuTSgOrEhDnKXfbChXLn
  nKNlsAWF6YW4fOHl2NxIYuP1Q6/jmvXXYGR8JKgynC4nbA6bZxJeWW4Z0hLT8E7DO2HVXVbukSB3
  OUrtO2d/B7+9+rc+9mxFQQUO2Q55XIDaTq+A9ddDmeATuOGvN4TUnoyQ+2wAcr7MlsltPmCMpQJY
  A0CMcJYB6GGMvThp2Tw/uY9fCIUHgIg8MXTlXpBegK7hLjhcDnDOkZaYhvy0fNgcNhpQlZR7RlIG
  MpIyUNdbB/uYHYXphX5j1MUEKAA4fdbpOH3W6br1EOcZHR9F13AXTik8xaMERbQMAFSXE+nqqRWH
  y4Ex9xiuXnw1drTsgH3Mjvu33o9HL35Uc38Bkfa3dYh+21XlqzwPo4DNYQMH9/h/rUOtWJi3EK4J
  l19rqnWw1VD3WZQ9L2cemvqbTEsMZRTvH30f4xPjhrvAE3wCWxq3oLq8WrNLL3Lnyw/n5obNKM0u
  xQPbHjC9/jJEZJRcdm1XLarmVaHH0YPERMo5PzQUvnIfnxhH61Ar5uZQVr/M5EzEs3gMjg56lPby
  0uXY1b4Lg6OD+OnWn4KBKeaTGEFTfxNKs0s9PnUci8PDKx8OO++TUO5lOWURsWXkKLWUhBTcftrt
  PqHZaYlpKMkq8UxSrO2q9QQ/+OutN/U3Ydg1rJhVbxRmD6heBeADyZJJAHA6gGcnLRsHgJ/oHbx2
  7VqsXbsWW17cgr6DFMeVkpACJCgHVIO1ZTrtnR5/nTGGGWkzYHPa0OPs8clJU55bji2NWzzL5PmL
  UVcPyPqDOM/RgaMoySpBcWaxl9ydXuW+OH8xJvgE6nvrNc8jUvrmpOSgYmYF7njjDpRklWgO5MoQ
  aX/Fi7NqXhU+av5Ike9eDDSLhiZUflZyll9rpnXIILlPlp2WmIbc1FzTc3YHwubGzZiRNsOwj1vT
  UYP8tHyUZJVoqr7O4U4Uphdi2cxlnkiITY2b8Ltrfof3jr6HXe27TL8GABgZH8H2lu24aN5FqJhZ
  gUM9h+il1VWLlfNWekhVWDPhKvfmAWXKD8A7qCrSb6cnpePM4jPxrX99C5lJmagoqFDMBDcC2W8X
  +MJJX8AEn8BrB14Luf5CuYs0IGYkCBRo6m/C0NiQZpSaGjKJi1BvgGawj4yPoHu42+cYsb/4Lbdt
  2+bhybVr1/otzwi5twIolT6XTG7Tws2YtGQm0QKgmXMu5tf+DUT2mhAVzlidgdXVqwEQufN4Yctw
  OFwORbRMIAjlLlsw+amSclflpCnPLcfmxs2eRlacWayr3LXWbtVDcWYx2obaPEqnMN2bGqF/pN+j
  3BljqC6v9lHVAvJKS9Vl1fjz3j/jserHNCdxyRBL7bUOtaI4sxg5KTlYOmOpwgIS6kCQn1Da2cnZ
  CmtGvbhJ62ArmgeaPbN79SDKBqZ+hSqAus93nnFnQHI/NnAMNR01WL93PVaV0UtTq75q5d4+1I72
  IYoGum/Ffbhvy32a5+ecY1/XPtR01OCw7XDQ17G9eTsqZlYgJyUH6UnpKM4sxo6WHXC4HDi16FTP
  fczLA3psE+jCXnSgBk39TUGXBfim/AAmn4vBVs/COQC1x5drX8a66nX0jElq0+lywulyKs6hVvZa
  5cSxODxW/Rh+uvWnur6zuj0Ojw17LCH3hBsOlwOZyZnISs5CWmIa3j36Lmo6aoK2jQD4tHEx1hXo
  +QOI3Lc2bcXujt3Y373f80JgjKGysBJvHH4DNR01iuvxjKNM/lZVVVWmkvunABYwxuYyxpJABO4z
  WsIYywZwEYB/im2c804AzYyxRZObqgEEjPkRihGgAVUeTzchPskFxpjP9Hp/EPll5MHT/DRqeFrK
  Wyh30WD9LbQdlHKfPI94GMRLB1B67gCwqmyVjx8u0Gnv9KT0vXnZzfjheT/EuSXnBixfLLXXOuT9
  bZeXLldEOAi/00Puk/chOyXbo9x7HD1Y8NQCj/oZGh2Cm7tRUVARMJxLLnuqfffu4W409jfi9tNu
  92vLcM5x2m9Ow21/vw0bjmzAFyu+CACaXfpOOyl3ocg2N27GyrKViI+Lxx1n3IEdLTs84yoydrXv
  wtn/72x85R9fwanPnRr07/CnPX/CFQuv8HyuLKzE+r3rsaxgGfVKJeX+0bGPsaHkXDzf/RWc8twp
  +Kzts6DKApR+u4CwGcXaCgBwY8WNuPucu3HRvIsU9QCAdR+sUyTmGxkfwez/me2ZAAgA7zS845MX
  CQBWz1+NrOQszWeix9GDeb+ap7D4Htj6AJ755BkAtNJaRlKGJ9DhuiXX4e4Nd2P1n1bj6Y+fDup3
  6B7uxqwnZnmCBzjn+FOt8l74wyXzL8GOlh346j++6rkmgeuXXI8nP34SN/z1Bnz1H1/1bK/tqkVx
  ZnFkbBnOuRvAXQA2AtgHYD3n/ABj7JuMsTukXa8F8Dbn3Kk6xfcAvMQY2w2KlnnMX3kutwu9zl7P
  akIpCSmYiKNT8gRnUKodkJS7Q6ncexw9msq7LKcMvc5ez+CkP1tG9twDwfMwTHZj5RDNPmcfclK8
  6wtWl1dja9NWzRzwsnKvLKzE45c+bqh8j+cujWcUZxYryKfH0YOqeVWo7azF8NgwxtxjyE3JVSj3
  9qF29I30eV5MQt0bifKRy45kzLEWtjZtxYVzL8S8nHm6XWCA0k4kxSdhz7f2oObOGlw07yIA/pW7
  yEz694N/9wysJcUnYU7WHM0EW3W9dbhswWWoubMG1y+9XvdFroWDPQfx+uHX8d1zvOv0VRZU4i/7
  /oLKgkpkJWdhZHwEY+4x5OUBDbajKBi4HE8trcG66nW6vQl/0LJLxHMhq+0lM5bgV2t+BQA+yr1l
  sEXxW/Q4ejDqHsX9W+8HAOxo2YFd7bvwlVO+4lM+YwxXLrxS83fa07kHQ2NDCguoaaDJ00sRlozA
  81c9j5o7a/DgRQ8GnaSvbagN9jE7Htr2EAB6GbUPteOmZcZWclteuhy779yNmjtr8NpNSpvpP877
  D9TcWYMdX9+B946+pxh4FeMowcKQ584538A5X8w5X8g5//nktt9wzp+X9vk95/xWjWNrOOdncc5P
  5Zxfzzn3G3rRbm9HQXqBZ1AlNSEV7jhS7jw+uMFUwBsKaXPaMCOViFyoCi1ylldQAgIod0eQyn3Q
  q3QKMwrR5eiC0+UEB1e8tIozi1GQXqAZ1aG1jJ4ReDx3ST375N5x2nBq4akYGR/B7o7dKM4sBmNM
  odzF/kLFCnVvZMKJWrlPZTikiGgQXWC9usphuDLmZBNRy7lOxMIo8XHxOGnmSfjHwX8owlHVv6+A
  nB9Ja2DbH+7fej9+eN4PFWJgWcEy9Dh6PKF1eal5nlj3lsFWJI3MRlIS8PXTv47DtsN4t+ldw+UB
  2naJ2nNXIz8tX0FIovcs0OPowYK8Bdjesh0723bi3s334oELH9CNhNOzKuXxIYHWwVbPMysGU9UI
  Jea9c7gTZ8w6A68ffh0Hew7i3s334uGVDyMhLiHwwQYxI20G5ufOxyetn2B0fBSN/Y1YPmd5TAyo
  hg3ZkgFIubsZKXd3COQuHjC1cu92dKN/pB95qcol7H3IfVKhaA3CaK3dqgdZuZfnlnuUu4iUUXt2
  q8q0H3qtxTiMIDMpEx32DjhdTs8LSStrZn5aPioLK/H2kbc990FW7nKsPiAp9wATTpwuJ+xjds/v
  NdW2jBzR4K+XIYeoyUiIS0BJVoki97Z8LyoLKlGcWewJ4QV8cxsJyGRZXUakZSRy6LO2z/DhsQ8V
  ql2UDcAzQCdsx7w8oGO4FfHO2UhOpt7Ez1b+DPduCS76RJPcM2fjkO0QHC6HptgQ41oCQmAJ2Bw2
  lGSV4Kcrfoqb/nYTWgZb8G+n/ZtuHc4qPgsNfQ0+PS55fEigdajVQ/Zq5S4QyphP13AXFs9YjB+c
  9wNc8fIV4OC44aQbgjqHEYgw5YM9B1GeW45ZmbOCjjwCYpHch7xdd4DI3cVHwBjA44OLcQdIsbrc
  LjQPNis89yN9R5CRlOHz1i3JKkFheqHHY8xMzkRCXIJnwpEMvbVbtZCXmoeR8REc6jnkGVDtGu5S
  RMrIuGT+JfjHwX/4PIThKPeDtoMeNQ5oZ83MT81HZUElNtRv8Ax+ZidLyn3SxvGQ+6AxW6ZtqA2z
  MmZ5vM/5ufNxyHZIk2Re2fcKCn9RiILHC3D2C2eHNPClLntwdBAVMysA+J/WLoeoqaH23eV7cVbx
  WbhswWWKl3RBWoGm5y771HOy5yAvNc9QeOa6D9bh3hX3+gichfkLPd4/4LUd8/KAnrFWxA/P9oRC
  3rLsFgyODuJfdcbz4Wh67lmzsaNlB8pyyjQHE0VEmoCIWBMQwujrp38dyfHJeKz6Mb8KODE+ERfO
  vdAnL3ptVy2WzljqIXOR7C6Qcp+bMxctgy2ag7TXrr8WBY8XoODxAvx1318V11CQVoDvnfM9TPAJ
  rKtepzlpMVyIXoroRaotLqOIPXIfVJJ7amIqRt0jSEkB3HHBK3fGGArSC3Cg54BHNc5Im4FDPYc0
  VXd8XDxa/rMF6Unpnm161ox6hmugehRnFiMxPhG5KbkeYpVj3GVcvvBy9I30YeORjYrtISv35Ewc
  7Dmo6BWplWWPg0JDKwsqsbNtp+c+ZKcolbucgElYLcWZxRifGNckM3k/geLMYqQnpuNAj3LC8uj4
  KH74zg/xh2v/gL3f3ouijCL8+tPwklJ12DswO3O2h4QC2jKFvsod8FV78r345pnfxK+vUNZTT7k3
  9jUqyFJrQpka4xPj2NSwyTPAKyMhLgEt/9niEQnCdszLA/rdrWBDsz2hkPFx8Xj04kdx35b7DPUW
  BkcH4Rx3+rS52Zmz4XA5dCfOid4DQAOPWso9PzUfifGJ2POtPfjCSV8IWJfqsmrPrGyA5iHs69qH
  1fNXe57PruEuZKdko3u4G+MT47rKPSk+CYXphWgeaPb5bmfbTmy8bSO+cfo38Hm7N8WHsOHSEtNQ
  9906XDr/0oB1DgUrSldgV/su7GjZgcqCSsxImxE5z30qoSaBlIQUOF1OPPkkkJAaXIy7QGFGIfZ3
  71fYMo39jbqqW60g9AZVtUIp/UFMvWeMeXoUbUNtmso9IS6BJnBsuVfxEGotgG0EWclZRO7Si3Nm
  2kz0OHo855dtGQ7uJfdkped+bsm5Hr9c9LQCednqlzZjjPzmBqX19NzO51BZUInVC1ajIL0Aj178
  KH7+4c/DWgNW3TtaVrAM+7r2+ZCby+3CYdthnDTzJM3zqMldvhdxLM4zTiSg5bm73C7FhCDAa834
  w862nZibM1f3xS63WaH08vIAO2sFhmYrJjFdtegqpCWm6Wa6lCHGB9TqvDCjEHEsTrFwjgzRewDo
  BeHmbt8V0CaFkVHPurqsWpHwrrGvEXmpeThp5kme57N1qBVzs+ciPy0fnfZOUu4a5A5o++6cc0+C
  wYX5CxWiTn6Zm+mzq5GelI4zis/AH2r+gMrCSs+ky2ARm+QuK/eEVIyMj+Ab3wBG3cHFuAsUpBeg
  19mrsGUm+ETQYYxqBOO5i/OI7rjoURy2HdZU7gBww9IbwMDw6n5vSuNOe+ieu8PlUPy2ifGJyErO
  8sTVCjUl7AuP565S7ueVnKewZYR948+aUd9XwPdhtY/Zse6DdYrZtpWFlbik/BL8cscvESrUvaOc
  lBzkpub6eP6HbYcxJ2uOroCQycA+ZgfnHOmJ6Zr7AlCEuwqo1wAGgJVlK/HBsQ/8LkyxqWGTJ+Y+
  EAQZ5OZyOBPaMTFQrJjExBjDYxc/hge2PhAwk6OW3w4QuRVlFGl+B0ARCtk13IXS7FKMT4x7LLZg
  LE2BZQXLYB+ze+6b6GXJz6cYsxNjXCIjpBa0fHeHywEGhrTENJ/Z6aFaoqFgVdkqz+SovNQ89I/0
  Bz2jO+bIXeQfEUhJSIFznAZUg009ICBuiKzc5c+BUJJZgqc/eRq3vnorfrWDQr3cE5TnXI+Y9c4j
  d8cLMwpxyHZI9xyMMTxW/Rju33o/OOdwT7jRN9IX1AtFQMTUyr8t4M2a6Z5we/LK56bmYk7WHJRk
  lQDwVe5nzDrDEzki97ROLjxZkakSoAW2b331Vry4+0Wfsi8uuxjvNr3r8T1/teNXuLjsYpxSpIx1
  /tnKn+Gpj58ynJ3ylX2vKF4y8iQxgZMLT8Yd/3cHbn31Vvxl718A+LdkACIDMXNYqHZ/k1fkiWoC
  WmSZl5qHRfmL/C7GrrV8ox6EamYZPYgbT8e4M9VnhurKspUozy3Hbz//reY5nv3kWdz66q147IPH
  fPx2gZKsEkO2jJjJKw+yBiuMgMkJfmXVePsILVQjBr9lEhYiQkSn+VPuWuG48ktHnVdKDkOONKrL
  q5GRlIF5OfOQEJeAzORMn3E/9eQtNWKO3LU8d/G2d46HZsuIGyIaU3ZKNuJZvCc0MhC+c/Z38F/n
  /xeWly7HLz76BYD/v73zj466PvP968nvyQ8myYQEGEz4oSKwUUGlUipEuVbEFe3ZdivU3e6q17rH
  bnv9tav2eIp29ZQ9uNvdtZ5zu6us695b997au3JXj3Wpi4i3VqsiYgFjAwixhA0BQkIICTz3j5nv
  5Du/f2TCfBOf1zkcMt/5fDPPTGaeeX/fz/P5fEIJY1L5pLhL8VTctfgu7ll8T1Rcu7p3RbW1xXL1
  rKsZPD3Izu6ddJ/opraiNqdLwpryGoA49ewUdp3n4/zujas38rlgaHVmdyvkof5DEWXkrEs/tXoq
  AKvmrOLF9hcjPuZre1/j6fee5nfP/12+c8V3+PpFX49+7Oommv3NvPPpOxw+cZgfvPkDHrnykbjY
  Z9XNotnfnHRJhlj+4vW/YPPezZHbiYrW669ez60LbmX5zOXc+dKddJ/oTtop4zB/8nw+7vmY44PH
  M7qCSqTcY/12h1QtkSeGTvB259ssbVma8P5YnGLmybJOpC+YdCemx5Y/xve2fC9uo4gzeoa1r62l
  bUYbd11+F3cvvjvh4zy16imumX1NwvtqK2o5Pnic4TPDkaTobo/Mpo3YzW0Lb+PxXzzO0OmhSMHR
  nYSd/JGpco+1ZdxxxSr3rv6unCzRXFg8fTGbv745UrB121wO6XYA81RyV9XEnrtLuediyzRVNVEs
  xZFv8CIpot5Xn7Fyn1YzjTWta7jj0jvoHezlyMCRSPExG6bVTGNqzdSouHZ3707ouTs4amVTx6ZR
  XRamVO79XXGXyRdPuTjyxeW0QqpqJKnNqpvFL/b/IlIUA5hSPYXbF97OI689Etlm7JErH2FN6xrW
  tK5JuB2i89zWvbGOL8/7ctKNV5L1jMdyqP8Q27u2RxXvEhWt506ey5rWNdy68Fa+Mu8rrNu6LmmP
  u4Ov1Mei4CK27NuS0d/CSe7ujqBkNkeqourWT7ayYOqChJvAJ8JRzX3SyemjwaRry1w67VIWT18c
  mc3psL1rO/W+em6/5HbWtK6h2d8cfzIhmyR2S0mHIimitqKWnoGeyExedwdNLrYMhK72WvwtbNi2
  IXKlFfAFODF0goGhgUj+cOpkyQqqkNiWccc1qXwSqkrvYG+kKDy5MvGWnvlGRLhk2sg+gIl893Qd
  Vp5K7scGj1FSVBL1Jq4oqRhR7lkuGubQWNVIva8+6hI6UBnIWjkUSRHzG+fzwaEPcn5zxsZ1/NTx
  tNaOo+py7ZSBkOcO8crdSUCpOn8c5d472EtpcSmVpZXMrJ3J1k+2xn1Z/NmSP+Nfd/8rf/WLv+L4
  qeOs/p3VaZ/bv3z4Lzz13lM8tPShpOOSdZ7E4qyl7lY5sTOAY3lo2UM8ve3pUHdCClsGRpJwJn8L
  X6mP8uLyqEXX3G2QbpY0L+H9rvcTFo5/3vHzjP12GOkx7x7spKgvyLFjyVeF/N6V32P9/1sfZXml
  2hsgGxzfPaLcXbZMNp1msTy2/DEeee0R9h7dywUNF0Q60TqPd0bbMsc7k7ZCQuLk7hZtIjJi7wwe
  o7y4POtW7HyRqB0y3aRBTyV3d3HOwSmoQli55/DiNlY1xqnshsqGnLxrp2iY62WlG0f5pVLuMOJN
  f3r805wvCx3lHvv6ulfNTPZl5Sh3t+c4q24Wr3/yetyXRZ2vjrsvv5t7//1eHr3q0bS21dKWpezs
  3smtC26N+6Jwk6xnfPjMMG8eeDNy++cdP2dRcFG8ck/xGk+rmcZtC27j+KnjzK6bnTJe54s206uo
  puqmqLiT2TKVpZVcNu0ytuzbEnffpj2bMvbbYWR2aGdvJ5XDQU6fTr4q5NzJc7nu/OsidmPk8fKQ
  3J0rCMfOcCeobBbdi2VRcBGLgouYXTc7Uph2knDCgmoS5d5Y1ciJoRNRX6ixn2vn9+TapZYvYtfq
  gfGW3BN0VDitkJB7QfWSaZdEed0Ad152J4vPWZz173ImwORLuQNplXtjVSMttS281P4SjZW5Kfd6
  Xz2Pf/HxuMvoqFUz0yh3pzAGoY0U2nva4/5eAN/63LdYf/V6rj//+rRx1ZTX8MOVP+SBLzyQclwi
  /xrgH7f9I0ueXhJZtGzTnk18df5Xoz4IyeYSuLn/C/fzd9f+Xdovo0umXsL+3v1s79qe0VVUbNzJ
  bBlI3BI5dHqIHYd2cNm0y9I+loNjf3Qe72SShP4+pSnW2lu7bC1P/upJuvq6OHX6FG988gZXzrwy
  48dLhqPUYz334TPD9A/1J1XUmfD4Fx9nbdvayG0nCScsqCZ5HBGJm5gW+zlwfk+uXWr5ItZzP6Nn
  4jbcjsVbyT1m6QHIT0G13lfPrQtvjTp20+/cFOkGyQanl7v7RHfGBdlkOEognXKH0Ad/4+6NOauH
  4qLihIUxZ42bVEqqqrQqtEVfb2eUcod4Dx9Cfbr3fP6ejJZBBbj9ktvTvgbO6p5uTg6f5OHXHuYr
  877CQ//xEB1HOjg5fJIrmq+IVu5JZgG7qfPVcdvC29LGWlxUzLKWZfzbR/+W0d/CvcRDsglBDv9l
  VvxqoPt79zO1empSbzsRdRV1HDt5jP29+6krCVJaCkUpPukttS3c3Hozj73+GG8eeJPzA+fHLcuR
  C04yd65yHPXZM9BDbUXtqGZ3zqybGTXxKVgTZHd3aKej2orajJQ7xFszsVewUcr9LLVBJsLdfQSw
  7+i+lM8LvJbckyn3URZU80lrYys7Du3IakXIZGSq3CH0wU+VGEYTQ1dfV0oP1Nmm7+OejyNvcPfa
  O2eDRMr9ybefZOHUhWy4YQO/PPBLvr/1+yyfuTxuRl+iVsjRkM3fwl0ITjYhyOGSaaGrgliln6zd
  MBnFRcVMKp/EjkM7mFwezGgXpgeveJB//uCfefq9p9Nu/JIpDb6GiC0T8dwHDufUjJCO4KQgb3/6
  NsFJwcgkQVXlYN/BlFcIse2QsRv4OIXZ0dS78kGsLZOubRe8ltx7Eyf30Sr3fBKoDFBVWsX7Xe+P
  2nOPJPcMlPvSlqWUFJXk/Q3mXjUz1ZeVv9zPRz0fRR4/4AtQXVad0ifPd5xu5d472Mu6N9bx6FWP
  4iv18dDSh/j7d/8+ktzjbJkMXuNMcfzoTP4WbuWeaI0WNyVFJSxrWRa1wXbHkY6ks0BTEagMhNfz
  CWa0C1NTdRN/cumf8Mz7z+TFb3dicGyZpuqmiJLPR70qlmBNkLc634rkD6cYOnxmONJMkIjYBezi
  PPdJHlHuvgDdAyOCJV3bLngsuR/sP8iU6ilRx3wlvlF77vmmtamV1/e9PmrlPrlyMtfMviblLEeH
  6rJqbr7wZuY2zB3VY8YS1QqZ4gPnr/DTfrg9YkWICDdecGPSqfr5Jla5/3TnT1lyzpLIIl+3LLiF
  VXNWseLcFVSXVXPq9CkGhwdRVY6ePJqyWyZbLmi4gJXnrUzaIhgbt1NQ/fA/P4xaNTIRbTPaooqq
  qTz6VDRUNlBWXMa02oaMt9i77/P3ce2517KkeUnWj5eIgC/Ap32f0n+qn9qK2ohyz0e9KpbgJCL0
  5gAAEHVJREFUpCCHBw5HiY1gTZCaspqUdZTYpadjY3NsmYJ77jGtkOnadsFjyb3vVF9kso2DW7nn
  2i2Tb1obW+kf6h/1pWVxUTEv3/xyxt70hhs2cF7gvFE9ZizVZdWoKvuO7kv5fPzlfj46/FHUG/zZ
  Lz2bU90iFyZXRa+D0364nQVTFkTuLy0u5YWbXmBqzVREZKTX+1QfZcVlUdP9R4uI8OKaF6N20kmG
  U9OAUJtm24y2lOMvarooanLKnqN7srZlIJRYp9VMI1AvGW+O7a/w89LXXsqbgGqobGDnf+5kctVk
  iqQockU1Vsrd/T8Q2UUsFQk99wQF1UMnCtstE9sKOe5smf5T/XETNcqKyxg+M8zpM6dz7nPPN+6l
  Vcc7zho3u7p3pbZlKvwcHjhcsEvTsuIyaspqIlOuE+0O5MbpLsikU2YscZT7wNAAb3W+lXaWaWtT
  qKbjTHzKVbkHKgMEa4IEAqPbHHs0BCoD7OreNWLlVY6d5+60+EYl9/D+v6mYUTuDvUf3RkRDbGxT
  qqdE2kq94rkPDg/ScaQj7VW8t5L7UH+cRSEiEfXuhYIqELEC8n1pWSiaqpvoH+pPbcuEPySFfIO7
  JzKlKzQ6H4ZMOmXGEsdzf2P/G1w05aK0ar+hsgFfqY/9vaElHHJO7r4AwUlB6uuTT2AaawK+AP1D
  /RFB4CxJ0NXflXdhVF5STkNlQ5wtk065V5VV4S/3R9ZKGhgeiPoblRSV0FDZwI5DOwreLdN9ohtV
  ZVf3LmbWzkzbQeWp5N53qi9qHXUHpx3SK577vMnzmFQ+aUIodyBKWSXDSe6FvDR1+9fpkp6jEj2h
  3Pu7Itv8ZYIzUe7YyWMMDg/mNOU9WBNkZu1M6usLq9xh5P3lLEnwcc/HYyKMZtXNiipYOzueZXJe
  x5EOegZ64mayQ8ia6R/qL6iwqSipoLS4lL5Tfbx54E0ubLow7TkZrUAlIiuAHxD6MnhKVdfF3H8v
  8DVAgVJgLtCgqkfD9xcBvwIOqOqqZI/TfypeuTtPbGB4wBPdMhD6sjlw14Gseo+9TFNVE1WlVVSU
  VCQd46/wU1JUktfCZLY4KrjvVF+UIkyEM4GmpKikoMq9tqKWgaEBXmx/kSeufSL9CYxMlAtOCjKz
  LvFOR+n408/9KarK0En47nezPj0vuLdzdGiobGD34d1jIow2/cGmqJrdteddm7bGAaGe+Y4jHdRV
  1CWMK1gT5P2i9wv63ofQa3ew7yDr3ljHhhs2pB2fVrmHE/MTwDXAfGC1iFzgHqOq61V1gaouBB4A
  NjuJPcy3gV+ne6z+of6Eyj3KlvFAQRWIK/yOZ5zZg6nwl/tprGock23FMsVRwXuO7GFG7YyUSS/i
  uQ8UVrk7NY2OIx1cPv3yjM5xJsrlaslAqEZRXlJOdTVcn36i8Jjg7BfgVryBygC/6flN3j13iP9M
  FklRwnwSy6zaUDtkslqAs2F9Ll+y+STgC/D9rd/n/MD5LJuxLO34TD6pi4B2Vd2nqkPAc8ANKcav
  Bn7s3BCR6cBK4B/SPdCJoRMJlbvTDumVgupEw1lrOxX+Cn9BL0thRLlnkvScKfiFtmUgZGVd0XxF
  xld6ji2z58ienHrcvUTAF4iy8gK+AKf1tKfqVU47ZLIWzWBNsKB2pEOgMsCGbRt4bPljGY3PJLkH
  AfdGgwfCx+IQER+wAnjedfivgfsIWTYpKSsuS9iT6lbultzzTybKvbaitqAFJRjx3DOZ2BPx3Atc
  UIVQ3NnM+pw3eR7tPe3sPrw7pzZIL9FQ2RCn3MFbnWaO556sRXP6pOkFFzYQei2/PO/LLJy6MKPx
  +d4I8Hpgq8trvw7oUtVtItIGpLyukc3C2qG1ALS1tdHW1gaEPO6B4QFODp9M6QsbubHyvJXMaZiT
  csyKc1cwJ5B6zFjj9Iz7jvrSKnfHlqkpq0k7cWisefSqR5lROyPj8b5SH83+Zl7++GVWzUlaohoX
  /O21f8tFTSM7aznrMeVj7Zp84XjuySbyrZqzKqMC5ljzwBceoP2ddtauXZvR+EySeyfgnoo3PXws
  ETfhsmSAJcAqEVkJ+IAaEfknVf3DRCdPvm4ya//b2rjjFSUVHBk4QnlJeUE934mKv8KfVg3UVtSy
  YOqClGPGGveWgOmUsDOjr7aituC2TKZKy01rYyvP73w+Z8/dK8TWGQKVAfzl/sgGL14gWBPk8InD
  HOg9QIu/Je5+Z+vJQnNh04VcuPJCfm/l70WOPfzww0nHZ5Ip3wbOFZEWESkjlMA3xg4SET+wDHjB
  OaaqD6pqs6rOCp/3arLEDiTdaaaipIKegR6zZD7j5OS5e8CWyQVnolw2in88EPAFPOW3Q2imeLO/
  mXd++47nYhsNaZW7qp4WkW8CrzDSCrlTRL4Rult/FB56I/AzVR3INZhka6z4Snz0DPR4YgKTUTic
  bhlVTZv0nFbIyZWTC67cc6G1qZUp1VMmnKDJZQe0s8HMupls2bfFk7HlSkaeu6q+DMyJOfbfY24/
  AzyT4ne8BryW6nGStS2ZcjdgZB2cmvKatPuJ1lbU0jvYS/eJ7nGp3Je2LI3bYGYicNm0y7hlwS2F
  DiOOWbWzeOU3r3y2lPvZJK1y90iPu1EYnJ5x9ybjySguKsZf4Wfv0b3jUrk3VDZw7+fvLXQYeecc
  /znccekdhQ4jDsfmG4v++0LhqepkSs/9pCl3I2TNZFpkbKhsYOjM0LhU7sbZxXlPTSRbxlPJPaly
  L/WZLWMAoXbIVBteuAn4AlSUVFj7rJEWZz7BRBIC3kruaTx3K6gaC6cszHiz6EBloODrgRjjg/Pq
  z+OK5isoKfKUUz0qPPVMkil3J7nPrpt9liMyvMbDVybv642lobJhXPrtxtmnpryGLX+8Jf3AcYSn
  lHsyz90pqJotY2RDwBeYUJfZhpENnkruqWyZ3sFes2WMrAj4Aqbcjc8s3kruKQqqgCl3IyumVE9h
  clX2G10YxkTAW557CuUOWJ+7kRVrWtfwpblfKnQYhlEQPJXcU/W5gyl3IzvKS8onzG5ZhpEt48OW
  KTFbxjAMIxu8ldzT2TJWUDUMw8gIbyV3K6gahmHkBU8ld/PcDcMw8oOnknsyW8axY6xbxjAMIzO8
  ldxTLD8AptwNwzAyxVPJPZkyt4KqYRhGdngquSfb/NoKqoZhGNmRUXIXkRUisktEPhKRP09w/70i
  8p6IvCsiH4jIsIjUish0EXlVRD4MH/9WLkGaLWMYhpEdaZO7iBQBTwDXAPOB1SJygXuMqq5X1QWq
  uhB4ANisqkeBYeBuVZ0PLAbujD03oyCliLLiMiuoGoZhZEgmyn0R0K6q+1R1CHgOuCHF+NXAjwFU
  9aCqbgv/3AfsBIK5BDq3YS7+cn8upxqGYXzmyCS5B4H9rtsHSJKgRcQHrACeT3DfDOBi4JfZBgmw
  7Y5tSVslDcMwjGjyXVC9HtgatmQiiEg18BPg22EFbxiGYYwhmawK2Qk0u25PDx9LxE2ELRkHESkh
  lNifVdUXUj3Q2rVrIz+3tbXR1taWQXiGYRifDTZv3szmzZszGiuqmnqASDGwG1gO/BZ4C1itqjtj
  xvmBDmC6qg64jv8T0K2qd6d5HE0Xi2EYhjGCiKCqkui+tLaMqp4Gvgm8AnwIPKeqO0XkGyJyu2vo
  jcDPYhL7EuBrwFWuVskVo3kyhmEYRnrSKvezhSl3wzCM7BiVcjcMwzDGH5bcDcMwJiCW3A3DMCYg
  ltwNwzAmIJbcDcMwJiCW3A3DMCYgltwNwzAmIJbcDcMwJiCW3A3DMCYgltwNwzAmIJbcDcMwJiCW
  3A3DMCYgltwNwzAmIJbcDcMwJiCW3A3DMCYgltwNwzAmIJbcDcMwJiCW3A3DMCYgltwNwzAmIBkl
  dxFZISK7ROQjEfnzBPff69oA+wMRGRaR2kzONQzDMPJP2uQuIkXAE8A1wHxgtYhc4B6jqutVdYGq
  LgQeADar6tFMzh3PbN68udAhZMV4ixcs5rOFxXx2OJsxZ6LcFwHtqrpPVYeA54AbUoxfDfw4x3PH
  FePtzTXe4gWL+WxhMZ8dvJbcg8B+1+0D4WNxiIgPWAE8n+25hmEYRv7Id0H1emCrqh7N8+81DMMw
  skBUNfUAkcuBtaq6Inz7fkBVdV2CsT8F/peqPpfDuakDMQzDMOJQVUl0PJPkXgzsBpYDvwXeAlar
  6s6YcX6gA5iuqgPZnGsYhmHkl5J0A1T1tIh8E3iFkI3zlKruFJFvhO7WH4WH3gj8zEnsqc7N+7Mw
  DMMwokir3A3DMIzxR8FnqI6HSU4iMl1EXhWRD8OTtL4VPl4nIq+IyG4R+VnYmvIUIlIUnly2MXzb
  0zGLiF9E/reI7Ay/3p8bBzE/EI51u4j8DxEp81rMIvKUiHSJyHbXsaQxhp9Te/jv8EUPxfyX4Zi2
  icjzIjLJ6zG77rtHRM6ISL3r2JjFXNDkPo4mOQ0Dd6vqfGAxcGc4zvuBTao6B3iV0AQur/Ft4Neu
  216P+W+Al1R1LnARsAsPxywiLcB/BRao6oWErM7VeC/mDYQ+Z24Sxigi84DfB+YC1wJPikjCot0Y
  kyjmV4D5qnox0M74iBkRmQ5cDexzHZvLGMZcaOU+LiY5qepBVd0W/rkP2AlMJxTrM+FhzxCqO3iG
  8BtqJfAPrsOejTmswq5Q1Q0AqjqsqsfwcMxAL3AKqBKREsAHdOKxmFV1K3Ak5nCyGFcBz4Vf/72E
  kuiisxGnm0Qxq+omVT0Tvvkmoc8heDjmMH8N3Bdz7AbGMOZCJ/dxN8lJRGYAFxN6YzWpaheEvgCA
  xsJFlhDnDeUurHg55plAt4hsCFtJPxKRSjwcs6oeAR4HPiGU1I+p6iY8HLOLxiQxxn4uO/Hm5/IW
  4KXwz56NWURWAftV9YOYu8Y05kIn93GFiFQDPwG+HVbwsdVoz1SnReQ6oCt8xZHqUs8zMROyNBYC
  PwyvU9RPyDrw8us8C7gLaAGmEVLwX8PDMadgPMQIgIh8BxhS1R+nHVxAwrP2HwS+e7Yfu9DJvRNo
  dt2eHj7mOcKX3D8BnlXVF8KHu0SkKXz/FOBQoeJLwBJglYh0EFrr5yoReRY46OGYDxBSOL8K336e
  ULL38ut8KfCGqvao6mng/wCfx9sxOySLsRM4xzXOU59LEfkjQnbjGtdhr8Y8G5gBvC8iewjF9a6I
  NDLG+a/Qyf1t4FwRaRGRMuAmYGOBY0rG08CvVfVvXMc2An8U/vnrwAuxJxUKVX1QVZtVdRah1/VV
  Vf0D4P/i3Zi7gP0icn740HLgQzz8OhOapHe5iFSEi2HLCRWwvRizEH0VlyzGjcBN4a6fmcC5hCYg
  FoKomEVkBSGrcZWqDrrGeTJmVd2hqlNUdZaqziQkYBao6qFwzF8ds5hVtaD/CC00tptQMeH+QseT
  JMYlwGlgG/Ae8G447npgUzj+V4DaQseaJP5lwMbwz56OmVCHzNvh1/qngH8cxHwfoS+h7YQKk6Ve
  ixn4n8CnwCCh+sAfA3XJYiTUhfIxoeaBL3oo5nZCHSfvhv896fWYY+7vAOrPRsw2ickwDGMCUmhb
  xjAMwxgDLLkbhmFMQCy5G4ZhTEAsuRuGYUxALLkbhmFMQCy5G4ZhTEAsuRuGYUxALLkbhmFMQP4/
  Fq12EO5zQv4AAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f796883cc50>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "source": [
      "
  ",
      "for i in glob.glob(\"real_spe_scores/*DO*.bak\"):
  ",
      "    scores={}
  ",
      "    data=shelve.open(i[:-4])
  ",
      "    for key,table in data.iteritems():
  ",
      "        scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)
  ",
      "    show_network_RSPE(scores,title=i)
  ",
      "    pandas.DataFrame(zip([x[0] for x in data[\"ASR_AE_H1\"][0] ],[x[0] for x in data[\"ASR_AE_H1\"][1] ])).plot()
  ",
      "    data.close()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 139,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "DECODA_AEUNFIXED_TANH_TFIDF_DO.shelve.bak\r
  ",
        "DECODA_AEUNFIXED_TANH_TFIDF_DO.shelve.dat\r
  ",
        "DECODA_AEUNFIXED_TANH_TFIDF_DO.shelve.dir\r
  ",
        "DECODA_AEUNFIXED_TANH_TFIDF_MODELS.shelve.bak\r
  ",
        "DECODA_AEUNFIXED_TANH_TFIDF_MODELS.shelve.dat\r
  ",
        "DECODA_AEUNFIXED_TANH_TFIDF_MODELS.shelve.dir\r
  "
       ]
      }
     ],
     "source": [
      "ls UNFIXED_TRANS_scores"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 154,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "UNFIXED_TRANS_scores/DECODA_AEUNFIXED_TANH_TFIDF_DO.shelve
  ",
        "['TRS_AE_H1', 'TRS_AE_OUT', 'TRS_SPARSE', 'ASR_AE_OUT', 'ASR_H2_TRANSFORMED', 'ASR_SPARSE', 'ASR_TRANFORMED_OUT', 'ASR_H1_TRANSFORMED', 'ASR_W1_TRANSFORMED', 'ASR_AE_H1']
  "
       ]
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Wd0E8fXBvBn3LCNTcd0DJhmIJgSSqgOhNBDDSWEhECA
  EAgphDck/xAEmBZ67z2hE1rozRB6782AKQaDwRjcm3TfD9eyXOQCFhKC+zvHx9rd0exotLo7mpld
  KSKCEEII62Rj6QIIIYR4dRLEhRDCikkQF0IIKyZBXAghrJgEcSGEsGISxIUQwoplKogrpZoppa4p
  pW4opX4xsj2XUuofpdR5pdQxpVQF0xdVCCFEShkGcaWUDYAZAJoCqAigq1KqfIpkvwE4S0ReAL4E
  MM3UBRVCCJFaZlriNQH4EdFdIooDsApAmxRpKgDYBwBEdB1ACaVUfpOWVAghRCqZCeJFANxPshyQ
  sC6p8wDaA4BSqiaA4gCKmqKAQggh0maqgc2xAHIrpc4A6A/gLACtifIWQgiRBrtMpHkAblnrFU1Y
  l4iIwgD01C8rpfwB3E6ZkVJKbtQihBCvgIiUsfWZaYmfBFBaKeWulHIA0AXA5qQJlFI5lVL2CY97
  AzhAROFpFET+iDBs2DCLl+FN+ZO6kLqQ+kj/Lz0ZtsSJSKuUGgBgV0LQX0hEV5VSfXkzzQPgCWCp
  UkoH4DKAXhnlK4QQIusy050CItoBoFyKdXOTPD6WcrsQQojXT67YtBBvb29LF+GNIXVhIHWRnNRH
  xlRG/S0m3ZlSZM79CSHE20ApBcrCwKYQQog3lARxIYSwYhLEhRDCikkQF0IIKyZBXAghrJgEcSGE
  sGISxIUQwopJEBdCCCsmQVwIIayYBHEhhLBiEsSFEMKKSRAXQggrJkFcCCGsmARxIYSwYhLEhRDC
  ikkQF0IIKyZBXAghrJgEcSGEeElXr1q6BAYSxIUQ4iU8fQpUqgRERlq6JEyCuDAbPz9g4kTDwX/7
  NjB2LHDmDP+9CiJg3jzg0CHDuqdPky/rPXsG7N0LPH8O7N79cvu5cCF162vXLvN/kNetA3S6l3vO
  uXPA9euvpzxZERxs/H16/hz480/A39/488LDgR07jG+7eBEYNQrYsMF05QSAgADg8GF+fP48vwf3
  7hm2p3XMmQURme2PdyfeVZ98QpQ7N9Hcubz86adEtrZEpUsT1a37ankeOcJ5lihBpNXyul9/JSpa
  lCg+PnnakSOJatQgWraMyNPz5fbTpAnRt98alkNCiLJlI5o//9XK/SoiI4kAIl/fl3te165EnTq9
  njJlxf/+R1S4cOr3adQofp0TJhh/3j//EJUta3zb118TtW5NlCMH0dOnpivr2LFE5coR6XREEydy
  +XbsMGxP65gzlYTYaTyuprWBkgffZgCuAbgB4Bcj2/MC2A7gHICLAHqkkc/reYUmEB1N9McfaW//
  6y+iq1fNVx5rFxRENH588uWcOYlWrCCqU4fo2TNe7tePj0KAqEMHopUriXr3JurWjejuXQ6Sd+6k
  zl+rJfrhB6I+fYh8fIgqViTq2ZMoJoY/TIULEzVvbjhh6HREZcoQubkRDRpEZGNDNHw4UUSEIc9x
  44jCwlLvKyCA09etS7RvH//Nn09UqBBR/fpE06YRPX5M9OIF0Z9/EoWGcl6zZ/NzU5o9m4PqX39x
  2XU6w7bLl7mOklqxgtdfu8b1VKkS0fnz/LyhQ4n+/pvz69SJaONGrrtOnTjYEBFVqMAnnAkT+C8k
  xJB3SEjawTKpsDAOkJ06EQ0eTDRrFtGaNUTr1/P22FgijYYoLo5o2DB+H0aONJxY9ZYvJ+rfn9O5
  u3MdduvG6f39iT77jKhAAaK2bYl+/tl4WYYNI3J0TF5vejVqEB06RNSlC9GHH3L5Vq7k1xgWxmWa
  OZPo4UNOf+wYnxQy0rUr132fPlxeR0c+HvT1njcvH3Pdu/P7umkTp9u0iWjBAs5jwwaiU6cMryEy
  0pB/YCA/96uviNau5XJ/8YUh/ywFcXCXy00A7gDsEwJ1+RRphgEYk/A4H4BgAHZG8sq4tixk/Xqu
  jcePjW+vXp1oxgzzlsmajR9P5OJi+BBPncoHdWwsB9Kff+aW+OrVXO/btnHQsbUlqlePP4Tffkvk
  5GT8w/z4MT/P3p6DvZ8f0XvvcYCpWpXo1i3Or2JFTn/kCLfesmXjD59S/Py//uLtFy7w8qJFqfc1
  bhxR+/ZErq5ENWsSffABUY8efDzkz88BfswYPmEAXAaAX8vQocnzCg3lk9fkybwd4KCj9+WXXD+x
  sYZ1tWoRTZnCLb969fjk1bUr0dGj/PwCBYh+/51PTra2/KGfO5cDZFQUB5wDB3i/AAdgvX37iLJn
  z7gFuWgRUYMGHBCdnfl129oSffwxbz93jvPev5//z5uX+ltDTAw/r1QpPgm6uRHdvs2frQ0biH78
  kejzz4l27iRavJiDmjFt23LegYHJ18fHc9lCQ7nRUKMG142+nvXvj/4ETsR1Wbas8RNCUhUq8LHq
  6cnH3BdfcF4LFhCtWkW0Zw8fc1Wr8v5sbYk8PPi/vkwlS3LZ9XV15Igh/xEjeFvjxobnt2rFea9a
  lfUgXhvA9iTLQ1K2xgH0BTAj4XFJADfSyCv9mrKQnTv5TJotG7esGjbkN3XlSqK+fbnVkC1b2i0D
  vUuXiIYMIerc2dCimzGDW4YvXvCyTscfsqdPuYXZr1/my9m/Px/0AwcSXbnC6/791/ChfPaMA8x7
  7xGdPs3rli0jGjAg8/tIavx4ou3bM5f2+nUOuv7+vP8cOYgcHIgaNeLWVfXqRLt2cdpBg/jI276d
  6OZNooIFuV50Ov6QrF/PdWlryx+KIkWInj/n4OvpyQf6qVOcR5MmhjLMns3rpk3j5ehoDmCdOnEZ
  Ro3iAAIQNW1KVKUK0Ucf8YelYEH+0OfKRbRunSHP+fP5tRw+zC3HggU5MBQowK24H34gqlaNqHx5
  /oZRrRrnX6MGP3Z353pp0YJPaEuWcLcSEddJzZoczDw9+St5zpwcML78kqhXLw5MTk68n7lzed3T
  p5zus8+I7Ox4fwEBHChy5eITkk7Hjxs25NdJxK28atX4pNCpEwfJRYsMwbZyZX7vxo3j8nToYAhu
  DRsaWqzVq/N+s2fnshPx6wL42xDA9VStGgdtT0/+K1WK85k1i7fr37vFi4ny5OGT/o0bvG779uTv
  LRHXm6cnv6d583KdP3hg2H7hAgdOvSFDuCyOjnwcFSzIn+Nq1TidTkfk7c2v5fff+US5bRt/I2/f
  nrfv3s3vh7MzH09TpnC5/vwzIXqmsHAhf1NydSU6cYKPnWrVOAaUL89df/pyzJrFJ+NHj7hL8fhx
  PlG7u/PxdfiwId+sBvEOAOYlWf4cwLQUaWwA7AfwEEAogOZp5JX6Vb8BPvqIK3TgQK5cR0eiJ0/4
  DQA4oADcckzP338TFS/Oaf/7j9fxVyE+wIgMradt2/irZf78mSujVssH+aRJ/PyBA3l9v35Ebdrw
  41mzuD/wf//jlmJcnKEVQpR2a0On47RxcYZ1UVF8wDVqxOuTttR0OsOyVsvbf/qJ96PRcMC6fZuD
  Y9GiRMWKJe/7jIvj4K33/LnhcdLujbt3eTlfPm6ptGjB3Qq1a/OJqVGj5Ol1Og4CSV9npUpcLqU4
  P33XTXg4n1hz5OA0ly9z+caM4UCk17q14etwYCAH0B9+4PzCw/m1REdzUMifn+vNz4/ziorivHPk
  4G8Ee/fyV3z9SSIigst65Qp/YG1s+DXOmWMo59Wr/L9dOw7yI0fyc9u14/X9+nFA07/mpPXRoAEH
  jqAgXo6O5jIVKMBjCIULG47Prl25Pps14+Ns9GhDYPH3531ER3M+PXtyYyE8nI+RwEBuRTs4cEB0
  cODP0bNn/NouXzb8hYYSBQdza1bfKNLpuBFw756h7GfP8glFLzaW8714kY+dYsW43KNG8fb4eK6f
  QYMMz1m5ktM8esSNGv23kOhorpcDB7j8/fvzNjc3/qajr/v79/lkP2WKoWw6HddxfDy/lpT02/Xv
  g/7x5ct8nD96xI8nT+bGHkDUsaOhvz3pc5JKL4jbZX1oFADwK4DzRPShUsoDwG6lVGUiCk+ZUKPR
  JD729vaGt7d3lnbcoAGwYAFQtiwvBwQAbdsCp05l/NyVKwFfX+DYMWDzZmDrVp5tcPIkUKcOEBoK
  ODnx4woVgDt3DM8tVgz49Vfg228N6x49MoxY168PjBwJBAXxct++QI8ePFPA1ZVHuIODgSdPeJ8D
  B/Lz//3XkJ+/P9CqFc+MuHOHR+UnTwaaNOGyT5jA+ehnSCxbBvz+O1CtGlC5MuDoCGi1QMGCnH7n
  TmDJktT18OWXwN9/86Hbuzdw8yZw7RpQuzb/d3QEsmfncri7Az/9BMyfD5w+DbRsyWVzceHH48dz
  vZQsCXh7cx729kB8PGBry/uzswM8PAz7z5nT8NjZ2fC4eHH+7+UFjBvHZaxQgcv7009A+/bJ0ysF
  lCmT/LV9+CHXR1QU59e8OfDee/x6AKBPH6BcOc4X4ONp3TrD8y9c4Bk1ANcjAPTsybNp9HnY2fH7
  FxzMdVW6NK+3tQW++45n5RQuzLMmzp/n9zTpa/X05P9du/JfnTrAb78BYWFcf/pjz8HB8Nx+/Xi/
  3brxfpVKXX/e3kDevED+/LycLRv///Zbfr8ePeJjyN2dZ3MMGsRpduwAPv6Y37Nly/h1d+5seH7D
  hrwue3agenXg6FH+DHXvzun79OH6zp2b/4zp1g2oV8/wvuk/v3oFC/JMk1atgFu3gJkzeV2lSobX
  dvEi4OPD/zds4Po5etSQR61avI8CBQA3N/5M1q/Pr2PgQKBRI6BUKWDwYOD4cSBPHt5Xq1YcA2rU
  4Dz/+cdQr0oZHru6pn5dSbcnfT/0x1fOnFyekBD+nOTPD2zbxrNxkr6Hvr6+8PX1NV55KaUV3fV/
  4O6UHUmWjXWnbANQN8nyXgDvG8kr9akrC3Q6/qq5bJlh3e7dfHZ79sywLioq+VkzOppbYUOGcOup
  UqXk+bZpw3lcu8ato8qVeSDEzY0Hgh494u2DBvHZNSaG8/u//zOcxQHuNytfnsjLi1tu+gGQkSO5
  xVW3Lqe7csXQAjh9mujMGW7dcF8YD2zp++wB/vpZty4PYrm48Nfm69e5hZW0Na1/7Q4O3HKytzeM
  2Gu1XCdXrvBXc/2gnL0976NFi+T59OvHg3B373LrpVMn/lr+wQeGNGfO8HO3bHnlt9Son37i1nhM
  DC+fPcv7+ekn0+6HiOvEyYnfh8OHk/frZ8WjR/yt6JtvMpc+Pp5btRUrcv9/njzclXDuXNbLonfx
  Itfj9On8f80aos2buZxRUYYWuIcHdx0ZM3cudwnlz5+8Hz+r4uIosf8a4G6P+vVTp9Mfc2PGmG7f
  RPzZTnrMmVp8PHcTZvZ4QBa7U2xhGNh0AA9seqZIMxHAsITHBQDcB5DHSF6mqYEEQUGGYKq3YIGh
  j09v8GDu29abOJEDdZcunLZVq+T5DhzIfVpaLX9t696dH+fJw/1jH31k6P/r1ImDtJeXYbCjXj1+
  gz79lAOefr2tLX9lvX2b6P33+eCvUoX7/z79lLtxqlThvPSzKGrV4v1WqsTbAD5w583jspQuzf11
  333HX2mNKVCAD8iOHQ2Ds9Om8fNdXbkLhIjHBvQfmH37kudx9CgPzOTKxd0J165x+TdtMqTR6bgv
  V//13VT27jXMtCDik7CdHZ90XofOnbmuq1RJftxk1W+/ceDMrBIluN9bp+P3z9HR9EGlZ08+wfTu
  zf3LQUE8A0Ovf3+uj7S64kJCuIto6lTTlouI+95z5uRuH4AHPVPS6fg9Sto3bgopj7nXYeZMHtPK
  jCwFcX4+mgG4DsAPwJCEdX0B9El4nA/AFgDnAVwA0DWNfF76hR44wAMExpw8ya+gcWPDuqFDed03
  3/Abe/u2YdBKr1s3DgJly3La/v2T5ztxomHecr16hilYSafDNWzI+y1dmpft7Lj/19mZW9pHjnAw
  trfnVoL+eUuWJN9Xr15c1oYNDQN/RLycPTuP2utH+let4v1ERxvmKQ8bxi00O7u0W2m1avGJaft2
  w/S0qlX5Ob17G9Lpv2Fcvpw6D52O66tdO+P7MLf33iNautTSpXi9vL15kJGIxwAqV7ZseSyheXPu
  O/f05MHHd1WWg7ip/l42iD95wi3FPHkMgypJrV3Lgzc5cxq6S7p358BUrhy3Zt3c+Cups7Ohq6Fi
  RQ4C+uCbdD4zEXcx6Oe/rlrFA1VEPIVIH8gnTuQWrrMzP/+XX3j9iBEcTB8+5OUiRThwu7hwupTz
  kPfs4VaWnZ1hRgkRf5Xv2ZO7P0JD+StvZGTy1sGiRdztMns2B/O0LF/Og0FxcVw/Xl5cZ6tXG2YD
  6I0enfZ0s23buCvjTbBiBZ+g32Zr1nA3GREfg8uXW7Y8lrB1K38u/v2XG23vqvSCuOLt5qGUovT2
  d+gQsHEjULMm0KkTMGMGD1QEBvJA2LRpwKZNwCefAFu28KDb8+d8+XbTpsD9+zyAt3gxX2LduTMP
  TI4dC0yaBHz0EQ9GzJwJrFnDA2OVKwNDhgCffpq51/D0KQ9G3LjBgzHVq/Mgqp8fLwcEAEWK8GW5
  trY8oDFpEg8aXbpkPM+2bfl13bnDg0yv08OHXL4GDYADB17vvoQQpqGUAhEpY9tMNTvFJPr35xHj
  Pn2AFi14pHvkSA5s3bsDU6bw7AsfH/6fLRuwdCmP7o8ZwyPJP/zAo9L29jwbw8GBZyd4eBiC6MKF
  nP+GDTxaXLly5suYLx+fQEqX5pke+hkUZcrwDJfChXnZxgZYsYJnB9StC0yfnnae+sCdJ89LV9lL
  K1SIX4OX1+vflxDi9XtjWuLnz3ML298faNOGW4yBgTxlz84OWLsW+OwzDpr37vEUv5AQTnP+PE/F
  6t+fW+/WZtIk/jYQE2OYZvQ6ffwx0KULT5UTQrz5rKIlvmwZt7ZtbLiFe/o0t3btEkrYsSPPr6xa
  ledae3nxPFpHR547qlTWWpfxunhMODIBQ+oNMcnreRklSnCL3RwBHAAWLeLWuBDC+lmkJd6xI0+6
  //57Xj9yJE92P3069aT/zPLy4q6VKlV4efzh8Tjz6Ay+9PoSObLlQEhUCFqWbZnm8089PIUa82vg
  6eCnyOuc99UK8YouXwa++go4ccKsuxVCWIn0WuIWuZ/4+vV8BZ5Wy8s7dnB3yasGcICvsKpSBQiL
  CcMf+/+Az38+KJe3HP63738Yd3gcpp+YjuG+w9N8/uF7fLPgy08uZ3qffsF+mHd63qsXOkHFinyv
  4rGHxiIkKgSjDo5CcGRwlvMVQrz9LBLEbW25L7tRI57FcfEiD0ZmhYMDsOPmDgzdPxQjD45EYdfC
  GNpgKALDArHNbxt23dqFkQdHIk4bZ/T5RwKOIJdjLhy+dxjfb/8eUXFRybbPPz0f5x6dw9JzS3Hw
  7kEAwPqr6zHm0JhXLvPj8McYcWAEhvsOx8OIuxhxYAT+ufoPhu4fit23+VcLdt/ajQ1XTXyHeyHE
  W8MiQVx/34yDB3kgMlcu4/dYmH1yNvb770+27re9v+FZ1DMAwJbrW9ByRUssObcErVa0wuDdgzH1
  +FQoKNQtVhe2NrY40OMAjn99HPa29tCSFv229sOd53dS7evqk6toV74dNAc0WH5hOeouqotjAccS
  t086NgkzT8xEj0090HBJQ0w8MhGH7x/Gned38DDsIWaemImj94/irwt/4cj9IwCA2yG3MXTfUCTt
  sorXxaPvlr4IjQnFoXuHMPzAcAw/MBytV7ZGVHwUfP7zQTa7bInfDBafWwyf/3wAAD4HfXD+0fk0
  6/VJxBP8vOvnjN8AMwiKCMKw/cMsXQwh3n5pTSB/HX9IuNinWjW+ZHv6dL4MfcSI1JPbe23qRdCA
  yk4vS02WNaHVl1ZTbHws2Y+wp3WX1yVLU2JKCao6pyo5j3ImaECjD46mJxFPkuVXZU4VcvRxJGhA
  i88upojYCOqzuQ/pdDrS6XSUfVR2ehD6gPbc2kMhUSE04/gMKjW1FMVp4+hpxFNy8nEim+E2BA1o
  49WNVHxyccozLg9Vn1udKs+uTLbDbanjmo5UfHJxareKL2scsnsIKY2iRksbUcAL/nWAiUcmEjSg
  Ppv7UJ2FdchmuA313NiTco7JSUqjCBrQ0H1DyWu2FxERuU92JycfJ7r17BZBA3Kf7E5ERP9c+Yc+
  XPIh3Qzm2wHqdDpqt6odQQO699xwO7hj94/R3FNz07mMIHP8gv3I54BPptIuPruYGi1tRLnH5s7y
  foV4F/y440d6Ef0ize1I52Ifi7TEIyJ4EHLAAP7Nw6FDDSeU7hu6Y/CuwVh+YTk2dt6IG8E34GDr
  gP7b+mPnrZ2I08Xh8H1upd4KuYVSuUvhzvM7GN14NPy+80Op3KXQwL0B8jknn36xpesWfP7e5wCA
  i48v4ljAMcw7Mw/eS73x373/4GTvhMKuhdG4VGPkcsyF/jX7I69TXuy8uROd1nVCveL10KRUEzjb
  O6N1udYIjw2He053bOm6BdOaTcPpPqfx741/YW9jj73+ezFkzxDMOjULu7rvglcBL3y16Sv02NgD
  045PQ5WCVTDvzDwcuX8Es1vOxvQW09HBswMalWyEfM758Gu9X/Ew7CHarW6HyLhIfFjyQ+y+tRu5
  HXNDRzocvHsQff7tgzhdHLb5bQMAbLi2AX7P/NCsdDNUmFUB807Pw7Tj07DNbxtWXVpl9H3QkQ5f
  b/46Vf/7zBMzsfXGVsw5NQdNljdBYFggtlzfgrmn56LLui4Ysif9GTyDdw/GPv99CIkOQUhUCDZc
  3YC1l9e+9HHytomOj0bvzb1NmmevTb0QGWe6H/oMiQpBm1Vt0ux2NGbz9c0ZHhOvSuOrwZxTc/D7
  vt9Nkt+ma5vw14W/TJKXqehIh5knZ+JSUBpXA2Ykrej+Ov6Q0BIvUoTv1ZvSiYAT5DLahZxHOVOB
  8QVIq9NS3nF56XjAcZp0ZBLlGJODCk0oRDnG5KBVF1dR0UlFqd+//QgakF8wXxv/MPQh6dK4W8/E
  IxOp0IRCBA3IyceJco7JSdCAOqzuQLXm1zKavsSUElRrfi0KDAukOG0cPYvk2yO2WdmGxh9Ofr3+
  zeCb9CjsEQ3bP4zcxrvRmYdniIgoNj6WasyrQYUnFqaSU0rS9OPTCRqQ62hXuvT4EhERvYh+QaHR
  ofQglO/kM2DrAGqwuAHdDL5JA7cNpOZ/NaeGixvSzzt/phJTSlDntZ1p8dnF1GVdFyIiavl3S/r7
  wt/0257fCBqQzXAbKjC+AH2y8hMqOKEgdVvfjUKiQpKVV9+677KuC516cIoG7RxEcdo4KjC+AOX/
  Mz+5jXejruu6UtFJRQkaJP6VmVYmWT7RcdH02frP6MZTvoa/5vyaBA0o+6jsdPLBSeq1qRe1WpHi
  LmMWotPpqOXfLZN9WzGXa0+uETSgpxGGH3/U6XTUdV1XmnViFlWfW51OPTiV6fwehz8maED7/feb
  rIwH7xwkaJB4bPfd0pd8/X2p9YrW5B/ib/Q5Lf9uSdC8/H2RMtJ2VdvEY851tCt1W9+NJhyeQP9e
  z+Rdo4xosLgBtVnZJkvlGn1wNJ0IOEFx2jjqtr5bqm/9xny54UuKiI0wuu1R2COCBrTs3DKj24ne
  wHun5MyZ/Hf+9H7a8RMN2T2EbIfb0vvz3iciPlCJiLQ6LXkv8aYRviNo8tHJ1OyvZuQw0oFWX1pN
  tsNtKTY+4/tgRsVF0ZWgK4kHxupLq8nngA/lHJOTuq3vlip9WEwYeUz1oDkn56Ta9izyGcXEG7+l
  nFanpeDI4GTrQqNDKToumkKiQujQ3UPkOcOTgsLTvt1fZGwkRcbyj/BNPTaVoAH139qfHoc/pvx/
  5qdN1zaRX7AfOfo4Uv+t/SnnmJwUGh1KsfGxtOjMIoIGiScp/V/3f/j3roLCg6jeonpUb1E9ari4
  IZWfUZ7KTi9LdiPsqPs/3an63Oo0dN9Qqja3Gml1Wtrht4OgARWeWJgaLW1Ejj6O9Nn6z8jngA/V
  XlCbBm4bSMUmFaPGS/lOZAUnFKQzD89Qh9UdaOXFleS9xJvyjMtDsfGx1HFNR2q1ohVFx6W+Gc7G
  qxtp1MFRtPXGVpp2bFqadZOynj5c8iG9N+s9OnyPfwrl2P1jNGz/sMQ0Zx6eof/t/R8RGU5cnda+
  2i8HTz8+Pc0P29OIp4l1bMx+//0EDejAnQNExMfj+/PeJ2hA+f7MR9CAph7L+HaAv+75ldZeXkt7
  b+8laEA+B3zowJ0D5DXbi/46/9dLvZ5em3rRw9CHict/X/ibik0qRp4zPEmn0yU7flLmPf34dPrz
  0J/Ue3NvggYUFpP6B0ofhT2iDqs7pHq/Rx0cRRuvbkyzXGExYeTk45R47On/so3MRt9syeT9W1N4
  HP6Y7EbYkdt4N6q9oDbNOjEr4ycl2O+/n8YdGkcRsRHkMtqFemzsQacfniZoQJ+u+ZR0Oh2NPjia
  PljwAUXFRSU+7/yj8/Tjjh8JGtDxgONG8z754CRBg1TH7GfrP6M4Ld/wKb0gbvaLfYj4xw30N9TX
  05EOqy+vxq7uu7D2yloUy1EMAOCW3Q0AYKNssPPznSAiBEUE4cedP6Jc3nKo5FYJpfOUhr2tfYb7
  drRzhGd+T4T9GgYAyG6fHfv89+FFzAs0L908VXoXBxec++YcsttnT7Utt1Mad7tPKGsep+TX0Ltm
  4zvIZ7PLhjrF6uBwz8Pp5uFk75T42CM3jwS3LNMSbtndcGvgrcT8Tvc5jY+Xf4zf6v+WuK5Z6WbI
  mS0nVnZYiRYrWqB4zuL4qORH+O/efyg9rTTCYsPQskxLLD2/FD/V/gmdKnaC91JvrO+0Hp3WdsL2
  btvhXcIbg+sMho2yQdPSTRE6JBQ/7/oZZfOWxdnAs1hxcQUAoGrBqph2YhqO9DyCVitb4cqTK3ge
  /RxeBb1QJk8ZXH1yFbee3UJMfAz6b+uP59HP4eLggj/2/4FxTcYBANZfWY9H4Y+w7uo6HL1/FIVd
  CyNGG4O+TK4SAAAfeklEQVR+Nfqh95be+K7md6hWqJrRetrmtw3xunh0rNARM0/ORJ1idTDr1Cys
  u7IOxx8cx4LWC7DlxhasvLQSPo18cPjeYTRwb4Bdt3ZBRzrYqPR7FMf8NwYrL61E2bxlUT5feUw6
  Ogll85ZFd6/uqdKeDjyN5ReWY8LHE+CW3Q1Xn1xFr829cKQXD3QHhgUCALbe2Iqxh8Zi0AeDEBYT
  ht/r/544JfbWs1tplmXEgRFYfmE5YuJjMOvkLLyIeYFCLoVwNOAolp5fij7V++CHnT+gdtHa8Mjj
  ASJC+zXtMb/1fITGhGLkwZFY3GZxYn6hMaFYfG4xHoQ9gIuDC649vQYd6dCpYiesubwGF4Muwt7G
  Hhf6XcDMEzOTTQgIjQnFd9u/g3tOd7xf+H0AwNH7R9HEo0limr239+Kzfz7D8+jn2HVrF1qXa42R
  B0aidtHamHBkAuxt7bHlxhY42ztjz+09+MLrCyy/sBw1i9TEpaBLKJm7JBqXaoy8TnlRtVBVnA08
  i+CoYFx6cglzTs3BvNPz8O9n/6Kwa+Fk9XQ28CymHJ8CG2WDATUGoHrh6gB48kL1QtVx9tFZ3Hx2
  E//6/Yt+Nfql+/4TEXpv6Y1D9w7hccRj/HXhL3jm88T6K+ux5NwSfF75c5wNPIsa82vgdshtuDi4
  4PTD06hbvC4Annwx+9RsAMCloEuoWaQmAODg3YNYfWk1ZraciXsv7kFBYfgBngIdEBqAC48v4Gnk
  U5SaWgr1itdLt4xmD+KxsTzF0D5FzN16YyvyOudFhfwV4JHHIzGIJ+Vg6wAAKJaTtw2uMxgV8lfA
  yd4nX6oMLg4uiY8rF6iMXI658Em5TzJMaypKqXQDeEpl8vLP1XxU6iMAhhMCAFTIXwHXB1yHs73h
  50QKuRbC/R/vwzWbKyJ/i0TndZ3RokwLTGk2BYHhgbBRNvDI7YGHYQ9RtVBV1ChSA08GP4GzvTOC
  /y8Y2R2yp9qPazZXTGk2BXY2dlh+YTlitbHwyOOBcR+Nw487f0TtorXRwbMDvt/xPUrnKQ0bZYPm
  ZZqjz5Y+eBzxGH2q9cGMkzOw94u9eM/tPXjN8UJwVDAKuxbGPv998HvmhzhtHFZ1XIWvN38Nt+xu
  6LS2E7b5bYOjrSPsbe0RGB6IfE75sOv2LhzrdQx7/ffim3+/wbTm09CsdDOUmV4GA7cPxObrm1G5
  QGX4h/ij1+Ze0JEOt0NuIyI2AptvbEYHzw54EPoA049Px7QT0zC+yXi092yfqt5vPruJyccmY9AH
  gzBkL/f5dqnUBf/d/Q9H7x/FB8U+wMQjExERF4E/Gv6R2Kd59P5RtCnfBt/v+B5HA46izao2GFhz
  IALDA+Hq4Io/j/yJsnnL4suNX6KBewNUKchXqDX1aIq5p+fiWfQzXHx8EdULVceCTxYgKCIIPTb1
  QEBoAMY0HoOmHk0RGReJghMLonnp5th2cxtCY0Ix6INBsLexR/V51bGozSIUcS2Cjdc24ovKXyA8
  NhxLzi2BpqEG7rnccTvkNjymceNgx80dAJAYvL+p/g0al2qM1ZdWI3/2/CifrzwqF6iMowGGn825
  8PgCXB1ckc0uGwLDA9G6bGusu7IuWRDffH0zvq76NUrkKoEvN36JDZ03YKvfVqy8tBLvFXgPjUs2
  xuJzixEUEYTulbvj172/4qsqX2HxOT7RtC7bGnY2dvD/3h92NnY4dO8Q+v7bF5eCLmGv/174P/fH
  iosrcOrhKfzZ5E8Uz1kc0fHR6L6hO24+uwkC4WzgWSxtuxRD9g5ByzItUS5fOehIhx5VemDc4XFY
  e3ktzj46i9GNRxv97M07PQ++d3zxNPIpyuQtgyalmuD3Br/jefRzFJlUBPWL18fslrMx6uAonHh4
  ApXyV0K9xfXQp1of7L69G/7P/RPz6rW5F1wcXNCxQkf03NQTD8Me4vcGv+P+i/t4v/D7OPnwJIYf
  GA47Gzs42Tnh8c+Pce/FPXy49MN0ooMFrth8+pRQtiz/pFRSHtM8MKflHDTxaIJBOwehVO5S6F+z
  f5p5xWpjE4N6VkXGRSYLgm+irJQxOj4a2WyzQaW4rj86PhoOtg4ZtkZTar2yNfI558PcVnPhYOuQ
  +F48CH2AqnOrYm6ruWjn2Q460sFjmgec7Z2xrO0ydF7XGdcHXIetjS22XN+CrzZ9BWd7Z2hJi3zO
  +dC/Rn/0qd4HMfExOHz/MNqvbo+1n65F1/VdER0fjYi4iMQy5MiWAwCw9bOtiS2Vu8/vovT00qhf
  vD52fL4DCgr1F9fHmcAzKORaCJ+/9znWXFmDc33PYeD2gVh6filalm2J4Mhg3Hl+B4PrDMb3tb9P
  3Mf6K+t5gL3LxsSgN7PFTORzzoeem3rCNZsrdKSDvY09iuUshuI5i+Pkg5No4N4APo184DXHC7WK
  1MI+/32ws7FDRFwERjcajS+8vkC8Lh4lppbAqEaj0KJMC1SdWxVbP9uKlitaIrt9dgysNRBb/bbi
  x9o/YsO1DdhyfQsIhBdDXiS+9jhtHOJ18cg+OjsquVXChX4XAPBgYFhMGGxtbLHo7CL0qNIDdjZ2
  mHxsMnw+9IGjnSPWXlmL/+79h+z22RERF4E7399BdofsyD8+PzZ03oCnkU8x5tAY5HfOj2NfH8M+
  /30YfmA4VndcDe8l3rCzsYNXQS+sv7IebtndsKTtEnRa2wlBg4Ow9NxSDN0/FA/CHuDQV4dQp1gd
  TD42GScenMCe23sQHBWM2S1no2/1vojRxiS+lnIzyuFor6Mo4FIA781+D63KtMLkZpMT3w8iQlR8
  FEpOLQkFhR9r/4hJxyYhKCIIYxqPQeeKnfHBwg/QsERDlMpVCvG6eKy9shZa0iZ+0xjhPQKD6gyC
  o50jXMe4onSe0rgdchtl85bFnu57kNspN/yC/dBzc08sa7sM1edVx+Geh1EqdykA/E1aL1YbC3sb
  e/3VlIjVxmLjtY3osr4LcmTLgYkfT0TvLb3h6uCK7A7Z8Sj8ETd0an2PAdsHoErBKqheqDpuBN9A
  iVwl0Lpsa5SfWR4AN9h2d+drRX7Y8QOmNp+a5hWbZu8Tv3OHf0w4qdDoUHIe5Zw4IBmnjSOtzgS/
  iSVei0E7B9GM4zOMbks5NhEeE57YV6rv30uaNiI2gsJiwlJtS5rXL7t/oe7/dKeouChyGe1Cg3YO
  osCwQHoe9TzVc9qvbk9Lzxl+LSImPoaCI4Op58aeZD/CPrHfPCY+hp5FPqPdt3YTNKB2q9pR3nF5
  6eLji1RnYR069eAUjTs0jn7aYfgNOM8ZnokD0U8jntLD0IcUFhNGEbER1HNjT4IGtOfWHio+uTh9
  vPxj6rWpF009NpV6bepFFx9fJGhAC88sTMyv4eKGtMNvB4XFhFHBCQUpLCaMoAEFhQeRTqejC48u
  kOtoV6o2txr1+7cfFZ+c4oOToOikotR2VdvE5XWX11GblW2o1vxaNOrgKLIfYU/QgL7f/j1VnVOV
  Sk0tRdCAZp+cTRcfX6SKMysmPtdrthddDrqcOAjbdHlTIiIKeBFAecblIc1+DdVbVI+gAU0+OpmK
  TCxC0IDCY8LJY6oHHb1/lHKPzU1Lzy0laJDYP/wk4gm5jHYhJx8nyvdnPqPjQUmPgT6b+9CC0wuM
  vt7WK1oTNKDgyGDqsLoDtfi7BTn5OFHDxQ2p5d8tKV4bT1qdlrQ6Lf2x7w/qtLYTnXl4JlW/ft2F
  danghIL0POo5Ddg6gHKPzU2H7h6i2gtqU6VZlchzhifVX2TkN+EyEKeNSzx247Rx1GBxA/ptz290
  NvAsQQPKMSYHTT46mbbd2Ea15teiopOK0uWgy6TT6chjqge1X92eRh0clZjfs8hnb9bA5uXL/LNg
  SZ0NPEuVZqX4oUvxxtLqtGnOAHqd+yQiarWiFW27sS3DdCnFxscaHXgLDAskaECrLq6irzd9TW7j
  3ajGvBqUbWQ2ggbJBr/itWn8WgbxLBP97J+9t/dSkYlFKOBFAOl0usTnQYNkMyvitfGJ9agvd8p9
  hMeEU2x8LG2+tpk6rulodN/eS7xp0E7DbxSeCzxHpaaWIudRzhQRG5E4mHv72W3ymOpBVeZUodLT
  StO1J9dS7TPp4/qL6lPPjT0Tl3/Y/gPZDrelfbf3UZ2Fdei/u//RR8s+SpyZ8sWGL+jTNZ8mBr6U
  70Xzv5pT5dmVjZ6wU0rvGBv739jEaxB0Oh1pdVpaeXElQQP6Y98fRvPRD9LqT+JEPLCsnzyg0+lo
  5IGR5DbejRovbUz3nt8jaEBDdg/JsKwZ+W7bd7Ts3DLS6rQEDWiH3w7S6XQUGx9LxScXp9oLaiem
  TXoCSuqNCuLHj/OFPknpWw5CmJtOpyPPGZ4U8CKA/rv7H3nN9qLwmPDEmR87b+58pXyNnUyycuJL
  77k/7fiJlp83/OxPaHQoQQP6YIHhV6z1z4+Nj6XY+NhMlyVpOp1OlyzoEXFLUz9La+GZhQQN6P92
  /Z/RvFZfWk1fbvgyU/tNz8kHJ+mjZR8lW6efprf28to0n5fRa777/C6Vmloqcfpp0+VNafet3Vku
  b3pliImPydRJLb0gbvY+8b17CT4+wL59hvXjDo1DUEQQJjadaLayCGEMEUEpBR3pYDvCFv7f+6NE
  rhKWLtZLU8MVfL/0RcMSDc22zzhtHHKPy411ndahWelmZtuv3gcLP8CK9itQMnfJV85D//6/ad6o
  +4lHR/M9wJO6EHQB3u7e5i6KEKnoP8A2ygY0zHwNHFOzRNntbe0R/lu42ferd7TX0YwTZeBNDOAZ
  Mftl9zod//CD3vPo59jmtw2ty7U2d1GEEMLqmT2IExmC+LlH51Bqaim0KtsKBV0KmrsoQghh9SzS
  ElcKmHhkIhosboCxH43F8nbLzV0MIYR4K2SqT1wp1QzAFHDQX0hE41Js/xlANwAEwB6AJ4B8RPQ8
  ZV5EQLjzJYw9PBbnvzmfpUEIIYR412XYEldK2QCYAaApgIoAuiqlyidNQ0QTiKgqEVUD8CsAX2MB
  HOCW+E23ifil7i8SwIUQIosy051SE4AfEd0lojgAqwC0SSd9VwAr09pIBEQ53IdXgSz8NL0QQggA
  mQviRQDcT7IckLAuFaWUE4BmANanlZlOB8TYBaKQa6GXKacQQggjTD1PvDWAQ2l1pQDAmjUahAfd
  wjKbZWjRpAW8vb1NXAQhhLBuvr6+8PX1zVTaDK/YVErVBqAhomYJy0PAl4COM5L2HwBriMjo74Ep
  pWjp35H46nouxGuirXJivRBCmFt6V2xmpjvlJIDSSil3pZQDgC4ANhvZSU4ADQFsSi+zkPhHcNQW
  lAAuhBAmkGF3ChFplVIDAOyCYYrhVaVUX95M8xKStgWwk4ii0svvWWwgnOKlP1wIIUwhU33iRLQD
  QLkU6+amWF4KYGlGeYVrQ5BNlyejZEIIITLB/Fdskg7K/LsVQoi3ktmjqVYnQVwIIUzFAjfAIqiX
  /E1HIYQQxpm/JU46KMjMFCGEMAWLtMRtpDtFCCFMwgK3otVJd4oQQpiIhWanSHeKEEKYggWCOMns
  FCGEMBGLtMRtpDtFCCFMwiJBHNKdIoQQJmGR7hRpiQshhGnIZfdCCGHFLBPE5Ta0QghhEpbpTpGW
  uBBCmIQFrtiU7hQhhDAVy9w7RbpThBDCJOTeKUIIYcUsNLApQVwIIUxBZqcIIYQVk+4UIYSwYnLv
  FCGEsGJyK1ohhLBilrkVrbTEhRDCJDIVTZVSzZRS15RSN5RSv6SRxlspdVYpdUkptT+tvEi6U4QQ
  wmTsMkqguNk8A0BjAA8BnFRKbSKia0nS5AQwE8DHRPRAKZUvrfykO0UIIUwnM03imgD8iOguEcUB
  WAWgTYo0nwFYT0QPAICInqaVGUFuRSuEEKaSmWhaBMD9JMsBCeuSKgsgj1Jqv1LqpFKqe1qZyewU
  IYQwnQy7U14in2oAGgHIDuCoUuooEd1MmfD2gd1QtjHQaDXw9vaGt7e3iYoghBBvB19fX/j6+mYq
  bWaC+AMAxZMsF01Yl1QAgKdEFA0gWil1EIAXgFRB3L1+I9g5RULzuyZTBRRCiHdNygbu8OHD00yb
  mX6NkwBKK6XclVIOALoA2JwizSYA9ZRStkopZwC1AFw1lpkOctm9EEKYSoYtcSLSKqUGANgFDvoL
  ieiqUqovb6Z5RHRNKbUTwAUAWgDziOiKsfykT1wIIUwnU33iRLQDQLkU6+amWJ4AYEKGeYHkRyGE
  EMJELPLLPjY20p0ihBCmIHcxFEIIKyZ3MRRCCCtm/iAus1OEEMJkLNOdIi1xIYQwCfMHcUh3ihBC
  mIr8xqYQQlgxC7TEpTtFCCFMxTLzxCWICyGESVhkdoqNdKcIIYRJyOwUIYSwYhZqiUsQF0IIU7BI
  n7jMThFCCNOwyOwUWxtpiQshhClY5mIfuQGWEEKYhNyKVgghrJhc7COEEFZMbkUrhBBWzCJ94jI7
  RQghTENmpwghhBWT2SlCCGHFZHaKEEJYMZmdIoQQVixT0VQp1UwpdU0pdUMp9YuR7Q2VUs+VUmcS
  /n5PKy+SuxgKIYTJ2GWUQCllA2AGgMYAHgI4qZTaRETXUiQ9SESfZJSf/DybEEKYTmaiaU0AfkR0
  l4jiAKwC0MZIukw1r2V2ihBCmE5momkRAPeTLAckrEvpA6XUOaXUVqVUhbQyk3niQghhOhl2p2TS
  aQDFiShSKdUcwEYAZY0lDDt2BYcC1kJz8xK8vb3h7e1toiIIIcTbwdfXF76+vplKq4go/QRK1Qag
  IaJmCctDABARjUvnOf4AqhPRsxTrKf93bdDvgx4Y3rVtpgoohBDvOqUUiMhoF0ZmulNOAiitlHJX
  SjkA6AJgc4odFEjyuCb45PAMRhBknrgQQphKht0pRKRVSg0AsAsc9BcS0VWlVF/eTPMAdFRK9QMQ
  ByAKQOd0cpTZKUIIYSKZ6hMnoh0AyqVYNzfJ45kAZmYmLx10MjtFCCFMxALRVGanCCGEqVjmLobS
  nSKEECZhkbsYSneKEEKYhmVuRSvdKUIIYRKWuYuhtMSFEMIkLDKwKd0pQghhGtKdIoQQVkx+Y1MI
  IayY+YO4kvuJCyGEqVikT1zunSKEEKYhF/sIIYQVk9kpQghhxSwyO0VJd4oQQpiERbpT7KQlLoQQ
  JmH+aCqzU4QQwmQsdAMs6U4RQghTsECTWC72EUIIU7HMxT4SxIUQwiQsNMVQulOEEMIU5Fa0Qghh
  xSwyO0Va4kIIYRqWmZ0iUwyFEMIkLDM7xVaCuBBCmEKmoqlSqplS6ppS6oZS6pd00tVQSsUppdqn
  lYZvRSvdKUIIYQoZBnGllA2AGQCaAqgIoKtSqnwa6cYC2Jl+jjJPXAghTCUz0bQmAD8iuktEcQBW
  AWhjJN13ANYBCEo3NyV3MRRCCFPJTDQtAuB+kuWAhHWJlFKFAbQlotkA0u0rkcvuhRDCdOxMlM8U
  AEn7ytOM0rojzzE/dgq25skJb29veHt7m6gIQgjxdvD19YWvr2+m0ioiSj+BUrUBaIioWcLyEABE
  ROOSpLmtfwggH4AIAH2IaHOKvMjm58I40+8EvEola8wLIYRIg1IKRGS0cZyZlvhJAKWVUu4AAgF0
  AdA1aQIiKpVkZ4sBbEkZwBPTKvmNTSGEMJUMgzgRaZVSAwDsAvehLySiq0qpvryZ5qV8SgY5ysCm
  EEKYSKb6xIloB4ByKdbNTSNtz3Qzk9kpQghhMnLvFCGEsGIWuYuhtMSFEMI0LNMSl3unCCGESVjo
  h5KlO0UIIUzBIncxtLeTlrgQQpiCRVri2RwkiAshhClYJIjb2Up3ihBCmIL5g7hNHLLZOZh9t0II
  8TYyfxC3jYedjanuuyWEEO828wfxeAcomZ0ihBAmYf4grstm9l0KIcTbyuxBXGlT94eXKFECSqm3
  4q9EiRLmrlIhxDvM7J3TSpc6iN+9excZ3dfcWkhXkRDCnMzfEieZmSKEEKZi9iBuY6QlLoQQ4tWY
  P4hLS1wIIUxGulOEEMKKmT2I20oQF0IIk5HulEwICQlBu3bt4OLigpIlS2LlypWWLpIQQgCwwBRD
  W1hfEP/222/h6OiIJ0+e4MyZM2jZsiWqVKkCT09PSxdNCPGOk5Z4BiIjI/HPP//Ax8cHTk5OqFu3
  Ltq0aYPly5dbumhCCGGBPnEra4nfuHED9vb28PDwSFzn5eWFy5cvW7BUQgjBzN6dYqde7d4pprgQ
  8lUuCg0PD0eOHDmSrcuRIwfCwsKyXiAhhMiiTLXElVLNlFLXlFI3lFK/GNn+iVLqvFLqrFLqlFKq
  UVp5vWpLnCjrf6/CxcUFoaGhyda9ePECrq6ur5ahEEKYUIZBXCllA2AGgKYAKgLoqpQqnyLZHiLy
  IqKqAL4CMC+t/OyUdXWnlC1bFvHx8bh161biuvPnz6NixYoWLJUQQrDMtMRrAvAjortEFAdgFYA2
  SRMQUWSSRRcAT9PKzNqCuLOzM9q3b48//vgDkZGROHToELZs2YLu3btbumhCCJGpIF4EwP0kywEJ
  65JRSrVVSl0FsA3AwLQys7YgDgAzZ85EZGQk3Nzc8Pnnn2POnDkyvVAI8UYw2cAmEW0EsFEpVQ/A
  cgDljKULPnoSGo0GAODt7Q1vb29TFeG1yZ07NzZs2GDpYggh3hG+vr7w9fXNVFqV0X28lVK1AWiI
  qFnC8hAARETj0nnOLQA1iSg4xXqq+vNvODN+VMr0b9X9xN+W1yKEeDMkxBWjc/Qy051yEkBppZS7
  UsoBQBcAm1PswCPJ42oAkDKA69lbYXeKEEK8qTLsTiEirVJqAIBd4KC/kIiuKqX68maaB6CDUuoL
  ALEAIgB0Tis/e1sJ4kIIYSqZ6hMnoh1I0cdNRHOTPP4TwJ+ZyUta4kIIYTpmv+xeWuJCCGE65r93
  iq259yiEEG8vswfxCJsH5t6lEEK8tcwexD9y+J+5dymEEG8tswdxFwe5cZQQQpiK+X8o2QS3lDW3
  mTNnokaNGnB0dETPnj0tXRwhhEhk9vuJBwWZe49ZV6RIEQwdOhQ7d+5EVFSUpYsjhBCJzB7EHz40
  9x6zrm3btgCAkydP4sEDGZgVQrw5zN6dUqKEufcohBBvL7O3xBNuYPjS1PCsd6bTMLkxlRDi7WL2
  IP6qA5sSgIUQIjWzd6cIIYQwHQnimaDVahEdHQ2tVov4+HjExMRAq9VaulhCCCFBPDN8fHzg7OyM
  cePG4e+//4azszNGjRqV8ROFEOI1y/CXfUy6M6XI2P7epl/DeZteixDizZDVX/YRQgjxhpIgLoQQ
  VkyCuBBCWDEJ4kIIYcUkiAshhBWTIC6EEFbM7JfdG+Pu7g5ljTcaN8Ld3d3SRRBCvEMyNU9cKdUM
  wBRwy30hEY1Lsf0zAL8kLIYB6EdEF43kY3SeuBBCiLRlaZ64UsoGwAwATQFUBNBVKVU+RbLbABoQ
  kRcAHwDzs1bkt5+vr6+li/DGkLowkLpITuojY5npE68JwI+I7hJRHIBVANokTUBEx4joRcLiMQBF
  TFvMt48cnAZSFwZSF8lJfWQsM0G8CID7SZYDkH6Q/hrA9qwUSgghROaYdGBTKfUhgK8A1DNlvkII
  IYzLcGBTKVUbgIaImiUsDwFARgY3KwNYD6AZEd1KIy8Z1RRCiFeQ1sBmZlriJwGUVkq5AwgE0AVA
  16QJlFLFwQG8e1oBPL1CCCGEeDUZBnEi0iqlBgDYBcMUw6tKqb68meYBGAogD4BZiid8xxFRzddZ
  cCGEEGa+n7gQQgjTMttl90qpZkqpa0qpG0qpXzJ+hnVTSi1USj1WSl1Isi63UmqXUuq6UmqnUipn
  km2/KqX8lFJXlVIfW6bUr4dSqqhSap9S6rJS6qJSamDC+neuPpRS2ZRSx5VSZxPqY3TC+neuLgC+
  DkUpdUYptTlh+Z2shywhotf+Bz5Z3ATgDsAewDkA5c2xb0v9gWfoVAFwIcm6cQD+L+HxLwDGJjyu
  AOAsuHurREJdKUu/BhPWRUEAVRIeuwC4DqD8O1wfzgn/bcHXVdR9h+viRwB/AdicsPxO1kNW/szV
  Es/wgqG3DREdAhCSYnUbAEsTHi8F0Dbh8ScAVhFRPBHdAeAHrrO3AhE9IqJzCY/DAVwFUBTvbn1E
  JjzMBm7ghOAdrAulVFEALQAsSLL6nauHrDJXEH/ZC4beVm5E9BjgwAbALWF9yvp5gLe0fpRSJcDf
  UI4BKPAu1kdCF8JZAI8A+BLRFbybdTEZwGAASQfm3sV6yBK5Fa1lvVOjykopFwDrAHyf0CJP+frf
  ifogIh0RVQV/G6mvlPLGO1YXSqmWAB4nfENLb+rxW10PpmCuIP4AQPEky0UT1r1rHiulCgCAUqog
  gKCE9Q8AFEuS7q2rH6WUHTiALyeiTQmr39n6AAAiCgWwDcD7ePfqoi6AT5RStwGsBNBIKbUcwKN3
  rB6yzFxBPPGCIaWUA/iCoc1m2rclKSRvZWwG0CPh8ZcANiVZ30Up5aCUKgmgNIAT5iqkmSwCcIWI
  piZZ987Vh1Iqn37GhVLKCUAT8IDdO1UXRPQbERUnolLgeLCPiLoD2IJ3qB5MwlwjqACagWcl+AEY
  YukRXTO83hUAHgKIAXAPfE+Z3AD2JNTDLgC5kqT/FTzifhXAx5Yuv4nroi4ALXhW0lkAZxKOhzzv
  Wn0AeC/h9Z8FcB7Azwnr37m6SPL6GsIwO+WdrYdX/ZOLfYQQworJwKYQQlgxCeJCCGHFJIgLIYQV
  kyAuhBBWTIK4EEJYMQniQghhxSSICyGEFZMgLoQQVuz/AZCaap7omdR/AAAAAElFTkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f79518de350>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxcAAAJZCAYAAADbBciUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xm8HnV9L/DPN4CKlLBKIknADQTUKiKoRSW4gGIFr1qL
  teKOlnJdrwr0toLtVbBacSktbhQVzXUroPWyCMZWrYqCCrKIsiQEEzYNyKJAfvePmSQnJyfJIQw5
  J+T95pUXzzPLb34zz/PMmc/8fjNTrbUAAADcW1MmugIAAMD9g3ABAAAMQrgAAAAGIVwAAACDEC4A
  AIBBCBcAAMAghAsAAGAQwgUAcL9TVSdV1XvW9bxrKHdJVT1iLee9sqqeOXSdYGjCBfcrY+24q+rd
  VfWZ/vU+/TQfGzXNf1XVIf3rV1bVXVV1c1Xd0v//I/24ZX9wquoJVbV45PKqao+q+k1V7dC/v6qq
  bltFWSOXc3NV/aqqPl1VO61hHZ82oqzf9eszsvyZVTW3qm7v319fVadV1YwxynpVP/+fjRo+nu20
  SVV9sKrm98u5oqr+afWf0ORXVU+pqu/0r5eM2K7XV9XZVfXSUdOP3NZL/502YvzmVXV8VV3dj7u8
  qv6pqrYeMc2rqupnVXVrVV1bVSdU1RYjxr+7qv7Qf98WV9WlVfXRqpo+Rv0fVlV3V9U/r8W6X1FV
  F40xfJXr2H+P/2uMeZYdCFXVv/Xb8kkjxj+yqpasYhlLt/mT+3HLftdV9YGqOnPUso6vqtP71/v0
  63/zKspaupzFVfXbqjqvqt5VVQ9Yw7b5lxFl/b7/PJYu4z9GTLdZ/7v8jzHKuKqqFlXVpiOGvbaq
  vjXi/ar2YZ9dTd1mjajbLX0ZvxsxbO/q9l2/H7VN/myMz2qN+6Wq2rGW73eWlnfBGrbfuPZ3VfWA
  qnpf/3u5taouq6r/tbqy1zOeXMz9nnDB/c14dty3JnlF9QFgFb7XWpvaWtu8//+bVlpQaz9J8tEk
  n0ySqto4yaeS/O/W2rwR9Xn+asr6XmttapItkjw7ye1JflxVu61yBVv7ztKykjymX8YWI8q/ph92
  WD/NI5M8KMlYB/6HJLmw//9oa9pORyV5YpIn9cuZneT8VdV7XamqupdFPD/JyAPDP+7X79FJTk7y
  sar62xHjl23rEf8O6uuySZJzk+yaZL++nKcmuSHJXv00b0/yviRvTzI1yVOS7Jjk7P47tdSc1toW
  SbZO8j+STE/3XZk2qv6HJLkoyZ/3yx+XqnpGkgcm2a6q9hg1epXrOGL86rQkNyb5hzGGj7WMpd/l
  H4wx3d8meXhVvbKv91OTvCLJG0ZMs2BEPccq67B+Wz403XY/OMk3VrsCrf3ViN/de9N9HkuX8fwR
  k744ybwk+1bVdmOs75Qkb1nDdhizCqup2/wR67l5P+3jRgz7bj/pcaO2yZdWUeR49ktL9ztLy9t9
  VfW7h+V+Ocm+SZ6bZPN0n+2hVfXhcZS/Pri3+yeY9IQL7m/Gs+P+bZJ/S3L0AMt7T5LpVXVokr9J
  cktrbfQZ4zXWqXWubK39dZJvr0XdxlpG9WXfnOTUdEFk+ciqHZPsneRVSfYb40BoTdvpSUn+vbW2
  qF/OvNba59ZY0e4s8TX92ctLqmrffviUqjqqqn7Zn1U+r/rWlqr6k6r6YXWtQj/oDyiXlvetqvqH
  qvpOVd2a7sBzalV9qrpWgPlV9fdLQ0d1Z8zn9metr6uqL4yq4gFZ8UBz6Xa8qV+/v0pyVFVtNXqa
  MbwyycwkL2ytXdaXc0Nr7b2ttTOqavN02/fw1trZrbW7+2D60iQPS/KXowvsp7kkyZ8nuT7dwfFI
  h/Rl3pjkBauo16rq+uV035VXjTH+3h4UnZzkj6vq6auZZlXLWDa8tXZ7kkOTfKAPvp9K8q7W2q/v
  QV2Wfqa3t9b+M8mBSZ5aVQfcgzJW5ZVJPpHkOxnj80vyj0neXlVTV1e3e6mGKGcc+6W1Wsaqyq2q
  Z6ULHS9qrV3SWlvSWvthuu3416NbdJZVoupDfYvQ4qr66aiwsnVVfb3f3/x3VT18xHy7VNVZVXVj
  vy/6szGKT1VdPPK7UVUb9fuOJ/Tvn1JV3+33TxdU1T5r2ATP71turquq948o9xFVdU5V3dCP+9yq
  vidVtWt1LY1/voZlwTonXLAhakn+T5IXj26Sv8cFtfaHJK9NclyStyZ5zb2vXr6aZHUHYPdIVW2T
  5EVJfjBq1CFJ/rO1dkGSHyV5+ajxa9pO3093kPRXVfXYcdZl5yR/nWSP/gzm/kmu6ke/Pd0B83P7
  s8qvSXJbfxD/9STHJ9kmyYeS/Meog/u/TPK6dGc656U7kP19kkck2T3Jc/rxSfL3Sc5srW2Z7sD/
  oyPqNz3Jdq21n65mNU5LsnH6loc1eFaSM/oD4rH8SbrWgn8fObC1dmu6gPOcVRXcWlvS12XZd6U/
  cN+un/fL6Q5016i6bjovSfLFJF9KcvCoVpMh3JbujP97721BrbW5Sb6S5MdJrm2tffJeljc/3W/g
  Xv3u+sD+jHTb8EsZe/v/KMncJO+4N8uaAGPtl4YIQiPLfXaSH7TWrh05QR8wrkn3e1qxAlX7JXla
  kkf1+42XpgvWS/15kncn2TLJr9Lt01JVD05yVpLPJdk2XevVCVW1yxh1/EKSvxjx/rlJrm+t/aQ/
  AfL1JO9prW2V5H8l+Uq/312VF6Zr9X1ikoOqaunfjUr3+5ierrVzZsY4uVNVT0xyRpK/bq3939Us
  ByaEcMEGqbV2XZJ/TdfyMJanVtVN/Zmom6pqdQeSP09yV5ILW2uXjzH+1FFlvXYN1bs2XdeXe+sj
  VfWbdGe3/yjJ4aPGvyLdwWTSHQit1DVqDdvpfUmOTfdH97y+NWKs7lUj3Z3kAUkeW1Ub960dV/bj
  Xpvkb1prv+yXfWFr7Tfpuin9orX2+f5M5pwkl2bFs/L/1lq7tD/g3jrJ85K8tbV2R2vthnTB5OB+
  2juT7FhVM1prf2itfW9EOQek+6O9Sq21u9J1axr5GX101Gd8TD98mySrO6O+bZIb+nqP9ut+/OqM
  /q4ckuRrrbXfp/tMn1tVayoj6bry3Nx3nzk3fXe+UdOsah3viY8n2aGq9l/F+I+MWMaP1lDWf6Vb
  99EtT0kyoy9nZH03HWO6kYb43b0iyXmt65r41SS7VtXjx5ju3UkOX80B6Pkj65/kXfeyXku9Y8Q2
  ue4ezjt6+1SS60ds37etZZ1GlrttVv17WdXv4c50JxV2q6pqrV22tDW19++ttR/3v7FTkjyhH/6n
  Sa5srX2mb0n5abrAOlbrxeeTHFhVD+rfvyzLv3cvT/IfrbUzk6S1dk66ALm6VrBjW2uL++/J8X15
  aa39qrV2TmvtrtbajelOpIxuBXlGupMKf9la+3+rWQZMGOGC+5u7k4zuZ75Juj9Aox2XZP+q+uMx
  xv13a23r1tpW/f9/uJplfjDdmciZq2iiPmhUWZ9awzrMSHLTGqYZjzf1Z9Iel64P//OWjqiqvdN1
  u/lqP+jL6bqsjLUtxtxO/YH+v7TWnp7urOB7k3y6qh69qgq11n6Vrr/50UkWVdXna/lFybOSXDHG
  bNsnuXrUsKvTbael5o94vWO6z/zXIw7O/jXJQ/rx70i37/thVV1YVa8eMe/oLlEr6c/oPyQrnh39
  n6M+43f3w29M169/VW5Ism1VjbUvfmg/fnWWfVf6A58/Sxcqll4TdHVWPOO6KoekO7BKa+3udF2j
  Rp91X9U63pWVf3PJGL+7vqXv7/t/Y3nTiGU8aRXTpLqL4T+Q7sDs78foOrKgL2dkfVfVerTUEL+7
  ZYG9PzicmzFaL1prP093tvvIVZSz+8j6p/sNDuEfR2yT0d0g12T09mlJthmxfdf2Zg4jy70hq/69
  jPl7aK19K8nHkvxzun3Kv1bVH42YZOGI17elO9GSdPuJp4wKcX+RZPQ1TEv3WxcneUEfUg9MF1SW
  lvPSUeXsvZr1SLpWmKWuTrePS1VtV1Vf6E/U/DbLW1VGekOS77bWVrqJAkwWwgX3N/PSHTSP9PCs
  fHCa1tpN6Q9OspZ38KiqZ6c7g/6GJIcl+XBVbTl6sntY7P9Id1Z2EP2BzN8lOa5q2cXOr+zrdWFV
  /TrJeem2wVgHQmvcTq2137fWTkjymySrvBi9n3ZOH0h27ActPXCan+7i89Guzcqf6Q5JFowsdsTr
  +UnuSHfgs/RAasvW2h/3y7+utXZoa21Gkjem6wrxiD407JPk7NXVP12XhjvTbbM1+Wa6YLaqs+b/
  na771otGDuwPjp7Xzz+m/rN8QZL/7Ae9KN0F4SdW1a/7z3Vm1tA1qu/W8cwkrxwx30uTHFAj7mi1
  GvPSfR4jy3xwuu5ZK/3ukpyULoy+aIxx4/XhJN9orb09XZ/9D96LslJVs5LskeXbcm3KeGqSnZL8
  7xHb8alJ/mIV4fHoJK/PiiF5WXFrW4/70Fj7pSHq+aIR5X4zyZNr1J3tqrvT18x0rWoraa19rA+j
  u6W78cJ4upzNTzJ3VAid2lob3cK71Jx04eOgJD8f0eI6P8lnRpWzeWvt/asoJ+lOpCy1Y7p9XNK1
  Bi9J8pjWddv8y6y8jd+YrvVvvb8zH/dfwgX3N/833R/3GdV5drrm7y+vYvoPpev3vus9XVBVbZbk
  xCRvad3Fvv8vXR/e4+9JMX1ZU6q7hehH0x3gHn1Py1iDk5M8OMmfVdUD053hfn26LgKP7/+9KcnL
  V3EgtNJ2qqo3V3fbzwdVd4HjK9OdFVzlLSmraueq2re6237+Id3dYpZ2CfpkurPQj+qnfVx111V8
  I8lOVXVwv5w/7+vxtbGW0VpbmO5z+FB1t4GtPjw8oy/3JSMOXn7bL39Jun7bP22t/W4Vdd+qql6e
  7izpsX2XrTX5bLqDj69U1aP7umxTVUdW1XNbd7H9e9J1Odq/qjauqoel+x7PS3fmclkV+npsVFW7
  pjvYmZbldwE7JN3FzY/L8s/0aUkeX1UrXMw/yiFJLkuy84j5dk4X3l42jnX8QZI7qrtQ/4H97+LY
  dN2D5o2euG8ZOTpr2dWnugtrn5XlF7K/KV2/9ZHdR8Z10FtVm/bznZrk+/eym8mr0n3vds3y7fi4
  dL+7542euD8b/n/7+k8249kvrU2wGKvcZyQ5JlnWpeicdL+X3frpnpLud3RCv81WLLDqSVW1V39y
  4PZ0JxbG6mY42teT7FxVf9n/7jbpy1pVy+ucJPulu6HD50cM/1y6Fo39+vo+qN8vbr+aZb+jqrbs
  Q+2b+rKTbv/5uyS39PuosULSLemu+XhGVb1vHOsJ69y4wkVVbVFVX6rubgo/r6on939oz6ruHtRn
  1or3ZD+yunu5X1LdxVawrrwnyffS3anlpvTXBLTWLh5r4tbaLUnen7Xra/1/klzcXwOw1FvT9XMf
  eeHh12rF5wN8ZcS4p1TVzUkWJ/lWuj8ue66qvqswVmvCCsNaa3emO9v7rnRn3m9L8tn+LP51rbu2
  4tNJNkr3hyuj5h9rO92W7ozxr9Nd1/FX6e7yctVq6vrAdJ/J9enO1j0ky7uG/FO6LiVnVdXidGFj
  077l5E/TXSh5Q///5484uB9r/Q9Jd23Hxem+B19Kd5FkkuyZ5Af9dj81XVecq9JdYzC6S1RL8tN+
  2svTXWT+5tba6OsNPlYr3vP/vGRZN6Bnp7tG5Ox0n/P3012L8YN+mn9Md1vfD/Tj/zvdGf9n95/b
  Ui/t6/Hbvt7Xp7swflF/IPPMJB8a+Zm21s5Pdw3J6lovXpHkn1tr14/6PvzrqPlWt47PT3f70GuS
  /LLf1iOfBzL6M/pCuu/NeG7BumxcdS06J6TrovXbfvnXp/tOfLwPzkny0Fr5ORf/Y9S6LE7XZeaf
  0n0/VgoA49Uv9yVJPjJqO16V5DNZvh1Hr+N70oWP8W6H8VrjPmEN48azX1qbeq6q3J+PmObF/bgz
  0h1IfybJJ9qIW3hX98yRE/q3U9PdneumJFem20f845oq0p9E2C/dtVjX9v+OTbePGmv6hel+m09J
  FwqXDr8mXWvGUel+k1en+z5OGaOuSbfdTkt3M4Lz050k+XQ/7ph0LWi/7YeP/FuxdN6ldwB8Trq/
  NWtz7RPcp6q1Ne8fqurfkny7tXZSf3Zgs3Q/pBtba++vqncl2aq1dkR1t4A7Jd0f8Jnpmjl3auNZ
  EMAEqaqfJ3lxa+3Sia4LAKyv1thyUd2Fck9vrZ2UdHdKaa0tTpfUT+4nOznd2dCku9BpTj/dVenO
  9o3nlo0AE6K6h82dLFgAwL0znm5RD09yQ1WdVFXnV9XHq7tYb1pb/vCsheku3ku6i9NG3rllQca+
  YA1Yjar6ixFdOkZ28bhwouu2OlU1axX1vrmqZk50/cbSWrtzDRdgrteq6mmr+kwmum6TTVV9Y9S2
  Wvr6iElQt0n9OfZdgMbadieseW7g/mKN3aKqao90fYSf2lr7UVV9KF0/yMNba1uPmO7G1to2/QVa
  /91a+3w//JPp7urx1bHKBwAA7h/G8wTWa5LMb60tfaDRV5Icke5+0tP6iwmnJ1n6QJ4FWfE2azOz
  4i0jkyRV5RoMAACYRFpr9+o202vsFtV3fZpfVTv3g56V7onEp6e79V7S3QnjtP716UkOrqoHVNXD
  kzwqyZgPIGut+bcO/7373e+e8DpsaP9sc9t8Q/hnm9vmG8I/29w23xD+DWE8LRdJdx/mU/qLHq9I
  8up0t6z8YlW9Jt2t117aB4aLq+qL6W4BeWeSw9pQtQUAACatcYWL1tpP091adrRnr2L696V70iQA
  ALCB8ITuDcjs2bMnugobHNt83bPN1z3bfN2zzdc923zds83XT+N6iN59suAqvaUAAGCSqKq0+/qC
  bgAAgPEQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACA
  QQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsA
  AGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjh
  AgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAM
  QrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAA
  AIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgX
  AADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQ
  wgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAA
  GMTGE12BNZk+/WFZtOjqia7GBmXatB2zcOFVE10NAFjv7LDD9Myfv2iiq7FBmTVrWubNWzjR1aBX
  rbWJWXBVG8+yqyrJxNRxw1WZqO8FAKzPqirf+tZE12LDsu++cdwykKpKa63uTRm6RQEAAIMQLgAA
  gEGMK1xU1VVV9dOquqCqftgP26qqzqqqy6rqzKraYsT0R1bV5VV1SVXtd19VHgAAmDzG23KxJMns
  1trurbW9+mFHJPlma+3RSc5NcmSSVNVuSV6aZNckz0tyQnUXTgAAAPdj4w0XNca0ByU5uX99cpIX
  9q8PTDKntXZXa+2qJJcn2SsAAMD92njDRUtydlWdV1Wv64dNa60tSpLW2sIk2/XDZySZP2LeBf0w
  AADgfmy8z7nYu7X266p6SJKzquqyrHx/WPcAAwCADdi4wkVr7df9/6+vqlPTdXNaVFXTWmuLqmp6
  kuv6yRckmTVi9pn9sJUcffTRy17Pnj07s2fPvqf1BwAA1sLcuXMzd+7cQctc40P0qurBSaa01n5X
  VZslOSvJMUmeleSm1tpxVfWuJFu11o7oL+g+JcmT03WHOjvJTqOfmOchepOZh+gBwNrwEL11z0P0
  hjPEQ/TG03IxLcm/V1Xrpz+ltXZWVf0oyRer6jVJrk53h6i01i6uqi8muTjJnUkOG1eKAAAA1mtr
  bLm4zxas5WIS03IBAGtDy8W6p+ViOEO0XHhCNwAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAu
  AACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAg
  hAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAA
  MAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHAB
  AAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYh
  XAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACA
  QQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsA
  AGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDrRbjYf//k
  kkuSyy5L3vnOlcdvvXXyjW8kF1yQ/OxnyStf2Q2fMSM555zkoou64f/zf67begPARDvjl2dkl4/t
  kp0/unOO+85xK43/wPc+kN1P3D1PPPGJedy/PC4bv2fj/PaO3+b3d/0+T/7kk7P7ibvnMSc8Jked
  c9RK837wex/MlGOm5Kbbb1oXq7Le+OEPk0MOSV7xiuQLX1h5/OLFybvelbzudclrXpOccUY3/Prr
  k7e9LXnVq7rhX/nKivN99avdMc5rXpN8/OP3+WrAWqnW2sQsuKqNZ9lTpkzJL36xJM96VnLttcl5
  5yUHH9wFjaX+7u+SBz0oOeqoZJttunHTpiXbbptMn5789KfJZpslP/5xctBBK87LWCoT9b0AYDhL
  2pLs/NGdc84h52T7zbfPnp/YM3NeMie7bLvLmNN//Rdfz/HfPz7fPOSbSZLb7rwtD97kwbl7yd3Z
  +9N754P7fTB777B3kuSam6/J605/XS678bL8+NAfZ+tNt15n6zWZVVW23z754Ae745A3vrE7Ttlh
  h+XTnHxy8oc/JK9/fRc0DjmkCw6LFyc33ZQ86lHJ7bcnb3hD8g//0M37k58kp5ySHHtsstFG3bRb
  bDFx6zmZ7LtvHLcMpKrSWqt7U8akb7nYa6+9cvnlybx5yV13JXPmdAFhpIULk803715vvnly443J
  3XcnixZ1wSJJbr21a/2YMWPd1h8AJsoPF/wwO22zU3bccsdsstEmOfixB+e0S09b5fRfuOgLedlj
  X7bs/YM3eXCS5Pd3/z5L2pJstelWy8a99cy35h+f84/3XeXXYzNndic3N944eeYzk+9+d8XxW22V
  3HZb9/q225KpU7vAsPXWXbBIkk037ULF9dd37087LXnZy7rpEsGCyWvSh4sZM2Zk/vzl76+5ZuWA
  8IlPJI95TLJgQRcm3vzmlcvZccfkCU9IfvCD+7a+ADBZLLh5QWZNnbXs/cypM7PglgVjTnv7nbfn
  jF+ekRfv9uJlw5a0Jdn9xN0z/QPTM/ths7PbQ3ZLkpx+2emZNXVWHjftcfftCqynHvKQFV8vDQhL
  /emfJlddlbzkJV3XqMMPX7mMhQuTX/4y2a3b5Lnmmq6L92GHJW99q14YTF6TPlyMx5FHdqFixoxk
  992Tf/7nrhvUUpttlnz5y13ouPXWiasnAExWX/vF1/K0HZ6WLR+05bJhU2pKLnjDBbnmbdfkP6/+
  z3z7qm/n9jtvz3v/6705ZvYxy6bTJeWe+fznk0c+sjs2+fjHkw9/uOsGtdTttyfvfncXOjbdtBt2
  993JLbckJ5zQdZc65pixy4aJNunDxYIFC1bopzhzZtdCMdLeeydf+lL3+oorkiuvTHbpu5NutFH3
  4/3sZ5PTT183dQaAyWDG1BmZt3jesvfX3HxNZmw+dv/gORfNWaFL1EhTHzg1z9/p+fnRtT/Kr37z
  q1z126vy+H99fB7+4YfnmpuvyR4f3yPX3XrdfbIO66PrRmyK669fsSUj6W40s88+3esZM7ouVPP6
  j+nuu7tg8ZznJE972vJ5ttsuefrTu9e77JJUddddwGQz6cPFeeedl0c9qut3uMkm3cXco0PCJZck
  z35293q77ZKdd+5CRpJ8+tPJxRcnH/nIuq03AEy0PbffM7+86Ze5+rdX5w93/yFzLpqTAx994ErT
  Lb5jcb599bdz0KOXX9R4w203ZPEd3dHr7XfenrOvODtPmP6EPHa7x2bh/1qYK958Ra5885WZOXVm
  LnjDBdlus+3W2XpNdgsWdN2a7rwzOffc5E/+ZMXxO+yQnH9+9/qmm7ouTw99aPf+uOO6rtwvecmK
  8+y9d3dXzCSZP78LIa67YDLaeKIrsCZLlizJ4YcnZ52VTJmSfOpTyaWXJocemrTWXW/xvvclJ53U
  3Umhqrtd7W9+0/2YX/7y5MILux9xa90dpc48c6LXCgDuextN2SgfO+Bj2e9z+2VJW5LX7v7a7PqQ
  XXPij05MVeXQPQ5Nkpx66anZ/5H7Z9NNNl02769v+XVeeeor09KypC3JK/74FXnWI5610jIqlRbd
  okZ685u7Y5ElS5IDDujCwumnd8coL3hBd2xy3HHJa1/bTf+GN3QXdV94YXcL/Yc/vLuTVFV3TcZe
  eyXPe17y/vd3t6HdZJPkiCMmdh1hVSb9rWinT39YFi26eh3UiKWmTdsxCxdeNdHVAID1zg47TM/8
  +YsmuhoblFmzpmXevIUTXY37hSFuRTvpwwUAAHDf2yCecwEAAKwfhAsAAGAQ4w4XVTWlqs6vqtP7
  91tV1VlEDYwwAAAgAElEQVRVdVlVnVlVW4yY9siquryqLqmq/e6LigMAAJPLPWm5eHOSi0e8PyLJ
  N1trj05ybpIjk6Sqdkvy0iS7JnlekhOq6l713QIAACa/cYWLqpqZ5IAknxwx+KAkJ/evT07ywv71
  gUnmtNbuaq1dleTyJHsNUlsAAGDSGm/LxYeSvCNZ4UbW01pri5KktbYwydKn58xIMn/EdAv6YQAA
  wP3YGsNFVT0/yaLW2k+SrK57k/vKAgDABmw8T+jeO8mBVXVAkk2TbF5Vn02ysKqmtdYWVdX0JNf1
  0y9IMmvE/DP7YSs5+uijl72ePXt2Zs+efY9XAAAAuOfmzp2buXPnDlrmPXqIXlXtk+TtrbUDq+r9
  SW5srR1XVe9KslVr7Yj+gu5Tkjw5XXeos5PsNPqJeR6iBwAAk8cQD9EbT8vFqhyb5ItV9ZokV6e7
  Q1RaaxdX1RfT3VnqziSHSREAAHD/d49aLgZdsJYLAACYNIZoufCEbgAAYBDCBQAAMAjhAgAAGIRw
  AQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAG
  IVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAA
  gEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQL
  AABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI
  4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAA
  DEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwA
  AACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEI
  FwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIDae6Aqs
  yfTpD8uiRVdPdDU2KNOm7ZiFC6+a6GpsUKbPnJ5FCxZNdDU2KNNmTMvCaxZOdDWA+5kddpie+fPt
  z9elWbOmZd48+/PJolprE7PgqjaeZVdVkomp44arMlHfiw1VVSVHT3QtNjBHx/ccGFxV5Vvfmuha
  bFj23df+fChVldZa3ZsydIsCAAAGIVwAAACDWGO4qKoHVtUPquqCqvp5Vb23H75VVZ1VVZdV1ZlV
  tcWIeY6sqsur6pKq2u++XAEAAGByWGO4aK39Psm+rbXdk/xxkmdW1d5Jjkjyzdbao5Ocm+TIJKmq
  3ZK8NMmuSZ6X5ITqLpwAAADux8bVLaq1dlv/8oH9PL9JclCSk/vhJyd5Yf/6wCRzWmt3tdauSnJ5
  kr2GqjAAADA5jStcVNWUqrogycIkc1trFyeZ1lpblCSttYVJtusnn5Fk/ojZF/TDAACA+7FxPeei
  tbYkye5VNTXJmVU1OyvfH9Y9wAAAYAN2jx6i11q7uaq+keRJSRZV1bTW2qKqmp7kun6yBUlmjZht
  Zj9sJUcfffSy17Nnz87s2bPvSXUAAIC1NHfu3MydO3fQMtf4EL2q2jbJna21xVW1aZIzkxyTZL8k
  N7XWjquqdyXZqrV2RH9B9ylJnpyuO9TZSXYa/cQ8D9GbzDxEb13zEL0JcLSHLgHD8xC9dc9D9IYz
  xEP0xtNy8dAkJ/d3fJqS5LOttXP6azC+WFWvSXJ1ujtEpbV2cVV9McnFSe5Mcti4UgQAALBeW2O4
  aK1dmOSJYwy/KcmzVzHP+5K8717XDgAAWG94QjcAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQ
  LgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADA
  IIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUA
  ADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRw
  AQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAG
  IVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAA
  gEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQL
  AABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQG090BcZj
  //2T449PpkxJPvWp5P3vX3H81lsnn/tc8tCHJhttlHzwg8nJJyczZiSf+UwybVqyZEnyiU8kH/3o
  xKzD+uaMX56Rt5zxlixpS/La3V+bdz3tXSuM/8D3PpBTLjwllcqdS+7MJddfkhveeUO2fNCWed9/
  vS+fu/Bz2ag2yuOmPS4nHXRSHrDRAyZoTdYf+z9y/xz/3OMzpabkUxd8Ku//7opf9Lc/9e15+eNe
  npaWTaZskl0fsmu2ff+2Wfz7xUmSSuVHh/4o19x8TQ6ac9Cy+Q7f6/Ac9qTDcteSu/Ifl/9Hjjzn
  yHW6XsDEujf788V3LM7rvva6XHTdRZlSU/LpAz+dJ898co6Ze0w+cf4nst1m2yVJ3vus9+a5j3ru
  RKzepPTDHyYf+1jSWnLAAcnLXrbi+MWLk/e+N7nxxu745KUvTZ7bb76DD04226w75tl44+Rf/mX5
  fF/9anLaad2xzlOekhx66LpbJxivaq1NzIKr2niWPWXKlPziF0vyrGcl116bnHde98O77LLl0/zd
  3yUPelBy1FHJNtt046ZNS7bdNpk+PfnpT7sf6o9/nBx00IrzMoaqPPL4R+acQ87J9ptvnz0/sWfm
  vGROdtl2lzEn//ovvp7jv398vnnIN3P1b6/Ovifvm0sPvzQP2OgB+fMv/3mev9Pzc8jjD1nHK7F+
  mTJlSn5xwy/yrM88K9fecm3Oe/15OfjLB+eyG8f+sj5/p+fnLU95S57z2ecsG/aWp7wlezx0j0x9
  4NRl4WKfHffJUU8/KgecckDubndnm023yY2337hO1mnSOzqZqP0frCtL2pLs/NGd12p/niSvOvVV
  2WfHffLq3V+du5bcldvuvC1THzg1x8w9Jps/cPO87alvW5ers16oqmy/fXeic9ttkze+sTtO2WGH
  5dOcfHLyhz8kr399FzQOOaQLDhttlPzFXyQnnphsvvmK5f7kJ8kppyTHHttNt3hxssUW63bdJqt9
  97U/H0pVpbVW96aMSd8taq+99srllyfz5iV33ZXMmdMFhJEWLlz+I9x88+5MwN13J4sWdcEiSW69
  Nbnkkq41gzWYkey0zU7Zccsds8lGm+Tgxx6c0y49bZWTf+GiL+Rlj+1Oy0x94NQ8YKMH5NY/3Lrs
  D9H2m2+/rmq+3tprr71y+Y2XZ97ieblryV2Zc9GcHLTLQauc/mWPfVm+cNEXlr2fsfmMHPCoA/LJ
  8z+5wnR/9aS/yrHfOTZ3t7uTRLCADcwPF/xwrffnN//+5vzXvP/Kq3d/dZJk4ykbZ+oDpy6b1sHc
  qs2c2Z3c3Hjj5JnPTL773RXHb7VVcttt3evbbkumTu0CQ9K1dixZsnKZp53WtYAsnU6wYLKa9OFi
  xowZmT9/+ftrrlk5IHziE8ljHpMsWNCFiTe/eeVydtwxecITkh/84L6t7/3C5smsqbOWvZ05dWYW
  3LJgzElvv/P2nPHLM/Li3V6cJNlq063y9qe+PTscv0Nm/NOMbPmgLfPsRzx7nVR7fTZjxozMv3n5
  F/2am6/JjM3HTsIP2vhBee6jnpuvXPyVZcM+tP+H8o6z35GWFf/Y77zNznnGjs/If7/2v3PuIedm
  j4fucd+sADApLbh5wVrvz6/8zZXZ9sHb5tWnvTpPPPGJOfRrh+b2O29fNv3HzvtYnvCvT8jrTn9d
  Ft+x+L5dkfXMQx6y4uvrr19x/J/+aXLVVclLXpK87nXJ4YcvH1eVvOMdXYvH17++fPg11yQ/+1ly
  2GHJW9+qFwaT16QPF+Nx5JFdqJgxI9l99+Sf/7nrBrXUZpslX/5yFzpuvXXi6nl/9LVffC1P2+Fp
  2fJBWyZJrvjNFfnQ9z+Uq99yda5927X53R9+l89f+PkJruX9ywt2fkG+M+87y661OGCnA7Lo1kX5
  6aKfpvr/ltp4ysbZatOt8tRPPTXv/OY788U/++JEVRuY5Ebvz+9aclfO//X5+es9/zrnv+H8PHiT
  B+fY7xybJDlsz8NyxZuuyE/e+JNM/6PpeduZukfdE5//fPLIR3bHJh//ePLhDye397ntox/thh17
  bHLqqcmFF3bD7747ueWW5IQTkje8ITnmmImrP6zOpA8XCxYsWKGf4syZXQvFSHvvnXzpS93rK65I
  rrwy2aXvTrrRRt2P97OfTU4/fd3Ueb13SzJv8bxlb1d3Fn3ORXOWNaEnyY+u/VH2nrV3tt5062w0
  ZaO8aJcX5Xvzv3efV3l9t2DBguywxfIv+urOLh782INX6BK196y9c+CjD8yv3vSrfOHFX8i+D983
  J7/w5CTdZ/fVS76apPtslrQl2XrTre/DNQEmkxlTZ6z1/nzm1JmZNXVWnrT9k5IkL9ntJTl/4flJ
  kods9pBUdScyXv/E1+e8a8+7r1ZhvXTddctfX3/9ii0ZSXLRRck++3SvZ8zoulDN6z+mbbbp/r/l
  lsnTn9516U66Mp7+9O71Lrt0LRyLNRgxCU36cHHeeeflUY/qLoTaZJPuYu7RIeGSS5Jn9z1vttsu
  2XnnLmQkyac/nVx8cfKRj6zbeq/XFiS/vOmXufq3V+cPd/8hcy6akwMffeBKky2+Y3G+ffW3c9Cj
  l18b8OhtHp3vL/h+7rjrjrTWcs6V52TXbXddl7VfL5133nl51NaPyg5b7JBNpnT9ok+/bOU0PPWB
  U7PPjvvktMuW95n+m3P/Jjsev2Me+ZFH5uCvHJxzrzw3rzz1lUmSf7/03/PMhz8zSbLT1jtlkymb
  5Kbbb1o3KwVMuD2333Ot9+fT/mhaZm0xK7+48RdJknOuOCe7bbtbkmTh7xYum+6rl3w1j93usffx
  mqxfFizorge9887k3HOTP/mTFcfvsENyfpfTctNNXZenhz40ueOO5S0Yt9/e3cTm4Q/v3u+9d3LB
  Bd3r+fO7lgzXXTAZTfpb0S5ZsiSHH56cddbyW9Feeml3+7XWuust3ve+5KSTujspVCXvfGfym990
  P+aXv7xrUjz//G76o45KzjxzotdqkmvJxw74WPb73H7Lbl2460N2zYk/OjFVlUP36O59d+qlp2b/
  R+6fTTfZdNmsj5/++Bzyx4dkj4/vkY1qo+z+0N2XTc+qLVmyJId/4/Cc9ZdnLbsV7aU3XJpD9zg0
  rbV84vxPJEleuMsLc+avzswdd90xrnJP+slJ+fSBn87P3viz/P7u3+eQU921CzYkG03ZaK3350ny
  ked+JC//6stz59135hFbPSInHXRSkuSdZ78zP1n4k0ypKXnYlg/LiX964jpft8nszW/ujkWWLOlu
  Rbvjjt2J0arkBS/ojk2OOy557Wu76d/whu6i7l//Ovnbv+2mu/vu7sTpnnt20xxwQHcr/te8pjvZ
  esQRE7d+sDqT/la006c/LIsWXb0OasRS06btmIULr5roamxQps+cnkULFk10NTYo02ZMy8JrFq55
  QoB7YIcdpmf+fPvzdWnWrGmZN8/+fAhD3Ip20ocLAADgvrdBPOcCAABYPwgXAADAINYYLqpqZlWd
  W1U/r6oLq+pN/fCtquqsqrqsqs6sqi1GzHNkVV1eVZdU1X735QoAAACTwxqvuaiq6Ummt9Z+UlV/
  lOTHSQ5K8uokN7bW3l9V70qyVWvtiKraLckpSfZMMjPJN5PsNPoCC9dcAADA5LFOrrlorS1srf2k
  f/27JJekCw0HJTm5n+zkJC/sXx+YZE5r7a7W2lVJLk+y172pJAAAMPndo2suquphSZ6Q5PtJprXW
  FiVdAEmyXT/ZjCTzR8y2oB8GAADcj407XPRdor6c5M19C8boPk36OAEAwAZsXE/orqqN0wWLz7bW
  TusHL6qqaa21Rf11Gdf1wxckmTVi9pn9sJUcffTRy17Pnj07s2fPvkeVBwAA1s7cuXMzd+7cQcsc
  10P0quozSW5orb1txLDjktzUWjtuFRd0Pzldd6iz44JuAACY1NbJE7qrau8k/5nkwnRdn1qSo5L8
  MMkX07VSXJ3kpa213/bzHJnktUnuTNeN6qwxyhUuAABgklgn4eK+IlwAAMDksU5uRQsAADAewgUA
  ADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRw
  AQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAG
  IVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAA
  gEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQL
  AABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI
  4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAA
  DEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwA
  AACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEI
  FwAAwCA2nugKrMn06Q/LokVXT3Q1NijTpu2YhQuvmuhqAMB6Z4cdpmf+/EUTXY0NyqxZ0zJv3sKJ
  rga9aq1NzIKr2niWXVVJJqaOG67KRH0vAGB9VlX51rcmuhYbln33jeOWgVRVWmt1b8rQLQoAABiE
  cAEAAAxijeGiqj5VVYuq6mcjhm1VVWdV1WVVdWZVbTFi3JFVdXlVXVJV+91XFQcAACaX8bRcnJRk
  /1HDjkjyzdbao5Ocm+TIJKmq3ZK8NMmuSZ6X5ITqLpoAAADu59YYLlpr30nym1GDD0pycv/65CQv
  7F8fmGROa+2u1tpVSS5PstcwVQUAACaztb3mYrvW2qIkaa0tTLJdP3xGkvkjplvQDwMAAO7nhrqg
  2/2/AABgA7e2D9FbVFXTWmuLqmp6kuv64QuSzBox3cx+2JiOPvroZa9nz56d2bNnr2V1AACAe2Lu
  3LmZO3fuoGWO6yF6VfWwJF9rrT2uf39ckptaa8dV1buSbNVaO6K/oPuUJE9O1x3q7CQ7jfW0PA/R
  m8w8RA8A1oaH6K17HqI3nCEeorfGlouq+nyS2Um2qap5Sd6d5NgkX6qq1yS5Ot0dotJau7iqvpjk
  4iR3JjlsXAkCAABY742r5eI+WbCWi0lMywUArA0tF+uelovhDNFy4QndAADAIIQLAABgEMIFAAAw
  COECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEA
  AAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFc
  AAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBB
  CBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAA
  YBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABvH/27u3GKuqO47j3/8wqKiFaFVAxhkvSIx9UWOo8RIv
  gIIXMNFUkHhFwbR4RcX6oH0wjT6YxlgfxGJLrYqCWKlplFbjAyZWFBAEBNQgzCgIUTEtGJFZfVh7
  MsPNYt37nAG+n2Qye69z2+d39pk5/7PW2tviQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklcLi
  QpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIk
  lcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4k
  SZIklcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklWKPKC4uuACW
  LYPly+Huu3e8fNIkmD8f3n0XFi2CLVugTx84/vjO9vnz4auv4Oab820uuwwWL4bvvoOTT67t85Ek
  SXuvt9+Gq6+Gq66CZ5/d8fKNG2HyZLjhBrj+enjlldy+fj3ccQdce21uf+GFzts8+SSMG5dvM2lS
  vq7UHUVKqT4PHJF257EbGhpYsaKdIUPg009h3jwYPToXGjtz0UVw220wbNj2jwetrTB4MLS1waBB
  0N4Ojz8Od94JCxaU8KT2GkG99gtJkvZkEcGRR8LDD8Nhh8FNN8F990Fzc+d1pk2Db7+FG2/MhcbV
  V8OsWXn5iy9g4EDYvBkmTIAHHsi33bwZevXKt581Cz76CO66qz7Psbs591z83FKSiCClFD/mPrp9
  z8XgwYNZuRJWr869DNOnw6hRu77+mDE7/5Zg6ND8Rmxry+srVsCHH+aiQ5IkqSxNTdCvHzQ2wnnn
  wZtvbnv5IYfApk15edMm6N0bevSAQw/NhQXkQqK5ubOHoqOwAPjmmzxCQ+qOun1xMWDAANas6Vxv
  bYUBA3Z+3QMOgOHDt+1G7HDFFTsvOiRJksp0+OHbLm8/hOnii2HVKrj88jzMaeLEHe9j7dr8JeiJ
  J3a2TZ2aP8+88gpceWUlmy79aN2+uPghLrkE5s7N3YpdNTbCyJEwY0Z9tkuSJKnDM8/AccfBzJkw
  ZQo88kge9tRh82a4//5cdHTtsRg3Dp57DkaMgMceq/12S7uj2xcXbW1t24xTbGrqHNq0vdGjd947
  MWJEntS9YUM12yhJktTh8887l9ev37YnA+D99+Hss/PygAF5CNXq1Xl969ZcWAwbBmeeufP7HzJk
  13NPpXrr9sXFvHnzGDgwjzvs2TMXELNn73i93r3zG/Wll3a8bFfzMDo470KSJJWlrS0Pa9qyBV5/
  HU4/fdvLm5vzUSwhT+BubYX+/fP6Qw9BS0seMrX9fXaYO7dzbobU3TTWewP+l/b2diZOhDlzoKEh
  jzf84AMYPx5SgieeyNe79FJ49dU8yamrXr3yZO7x47dtHzUKHn00H8nh5Zdh4UK48MLaPCdJkrT3
  uvXWfOj89vb82aKlJX8xGpGHcI8dm4uIcePy9SdMyF+SLl4Mr70GxxyTjyQVkedkDB6ch0+1tubP
  Qv37w+231/c5SrvS7Q9F26/f0axb90kNtkgd+vZtYe3aVfXeDEmS9jjNzf1Ys2ZdvTdjn3LUUX1Z
  vXptvTdjr1DGoWi7fXEhSZIkqXr7xHkuJEmSJO0ZLC4kSZIklaKy4iIihkfEBxGxIiImV/U4kiRJ
  krqHSoqLiGgAfg9cAPwMGBMRJ1TxWNp9b7zxRr03YZ9j5rVn5rVn5rVn5rVn5rVn5numqnouBgMr
  U0qfpJS2ANOBURU9lnaTb9LaM/PaM/PaM/PaM/PaM/PaM/M9U1XFxQBgTZf11qJNkiRJ0l7KCd2S
  JEmSSlHJeS4i4jTgNyml4cX6PUBKKT3U5Tqe5EKSJEnqRrrlSfQiogewHBgCfAa8DYxJKS0r/cEk
  SZIkdQuNVdxpSmlrREwE5pCHXk21sJAkSZL2bpX0XEiSJEna99RlQrcn2KtGREyNiHURsahL2yER
  MScilkfEqxHRp8tlv46IlRGxLCLOr89W79kioikiXo+IJRGxOCJuKdrNvQIRsX9E/CsiFhSZ/7Zo
  N++KRURDRMyPiNnFuplXLCJWRcR7xf7+dtFm7hWKiD4RMaPIcElE/NzMqxMRg4r9e37xe2NE3GLm
  1SnyWxIRiyLi6YjYr/S8U0o1/SEXNB8CLUBPYCFwQq23Y2/8Ac4ETgIWdWl7CLi7WJ4MPFgsnwgs
  IA+NO7p4TaLez2FP+wH6AScVyweT5xqdYO6VZn5g8bsH8BZwhnnXJPfbgb8As4t1M68+84+BQ7Zr
  M/dqM/8TcF2x3Aj0MfOaZd8AfAocZeaVZdxS/F3Zr1h/Drim7Lzr0XPhCfYqklKaC3y5XfMoYFqx
  PA24tFgeCUxPKX2XUloFrCS/NvoBUkprU0oLi+V/A8uAJsy9MimlTcXi/uR/Rl9i3pWKiCbgQuAP
  XZrNvHrBjiMMzL0iEdEbOCul9EeAIsuNmHmtDAU+Simtwcyr8jXwLXBQRDQCvYA2Ss67HsWFJ9ir
  rSNSSusgfxAGjijat38d2vB1+FEi4mhyz9FbQF9zr0YxPGcBsBZ4I6W0FPOu2u+Au4Cuk/TMvHoJ
  +EdEzIuIG4o2c6/OMcCGiPhjMUxnSkQciJnXyhXAM8WymVcgpfQl8DCwmpzdxpTSPyk5b0+it+9x
  Bn8FIuJgYCZwa9GDsX3O5l6SlFJ7Sulkcg/RWRFxDuZdmYi4CFhX9NB937HPzbx8Z6SUTiH3Gv0q
  IhYlRoQAAAIrSURBVM7Cfb1KjcApwGNF7v8B7sHMKxcRPcnfks8omsy8AhFxLHmIawtwJLkHYywl
  512P4qINaO6y3lS0qRrrIqIvQET0Az4v2tvI4xo7+Dr8n4quxZnAUymll4pmc69YSulr4O/AqZh3
  lc4ARkbEx8CzwHkR8RSw1syrlVL6rPi9HvgreTiC+3p1WoE1KaV3ivUXyMWGmVdvBPBuSmlDsW7m
  1TgVeDOl9EVKaSvwInA6Jeddj+JiHjAwIloiYj9gNDC7Dtuxtwq2/XZxNnBtsXwN8FKX9tHFUQKO
  AQaST3aoH+5JYGlK6ZEubeZegYg4rOMoFhHRCxhGnmxm3hVJKd2bUmpOKR1L/nv9ekrpKuBvmHll
  IuLAokeUiDgIOB9YjPt6ZYphIWsiYlDRNARYgpnXwhjylxcdzLway4HTIuKAiAjyPr6UkvOu5CR6
  3yd5gr3KRMQzwDnATyNiNXA/8CAwIyKuBz4BfgGQUloaEc+Td6otwC9TcWgA7b6IOAMYCywu5gEk
  4F7ykReeN/fS9QemFX8UG8i9Ra8V2Zt3bT2ImVepL/BiRCTy/+qnU0pzIuIdzL1KtwBPF8N0Pgau
  Ix+ZzswrUsxrGQqM79Ls/9AKpJTei4g/A+8CW8lfzk0BfkKJeXsSPUmSJEmlcEK3JEmSpFJYXEiS
  JEkqhcWFJEmSpFJYXEiSJEkqhcWFJEmSpFJYXEiSJEkqhcWFJEmSpFJYXEiSJEkqxX8BF/V6HfAd
  FHEAAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f79650b2d50>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "source": [
      "scores_ordoned={}
  ",
      "for i in glob.glob(\"UNFIXED_TRANS_scores/*DO*.bak\"):
  ",
      "    scores={}
  ",
      "    print i[:-4]
  ",
      "    data=shelve.open(i[:-4])
  ",
      "    print data.keys()
  ",
      "    for key,table in data.iteritems():
  ",
      "        scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)
  ",
      "        if key not in scores_ordoned:
  ",
      "            scores_ordoned[key]=[scores[key]]
  ",
      "        else :
  ",
      "            scores_ordoned[key].append(scores[key])
  ",
      "            
  ",
      "    pandas.DataFrame(zip([x[0] for x in data[\"ASR_W1_TRANSFORMED\"][0] ],[x[0] for x in data[\"ASR_W1_TRANSFORMED\"][1] ])).plot()
  ",
      "    data.close()
  ",
      "    show_network_UNFIXED(scores,title=i,unite=200)
  ",
      "    #except:
  ",
      "    #    print \"C4EST LA MERDE\",i"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": []
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": []
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "collapsed": false
     },
     "source": [
      "# Ci dessous  Mes tests rien de super interessant"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "pred_train=data[\"TRS_AE_H2\"][2].pred_train
  ",
      "y_pred_train=np.argmax(pred_train,axis=1)
  ",
      "
  ",
      "pred_dev=data[\"TRS_AE_H2\"][2].pred_dev
  ",
      "y_pred_dev=np.argmax(pred_dev,axis=1)
  ",
      "
  ",
      "pred_test=data[\"TRS_AE_H2\"][2].pred_test
  ",
      "y_pred_test=np.argmax(pred_test,axis=1)"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "[0,1,2]*3"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": true
     },
     "outputs": [],
     "source": [
      "corps=shelve.open(\"models/DECODA_AE_TANH_MINIBIN.shelve\")"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "y_train=corps[\"LABEL\"][\"TRAIN\"].apply(utils.select).values
  ",
      "y_dev=corps[\"LABEL\"][\"DEV\"].apply(utils.select).values
  ",
      "y_test=corps[\"LABEL\"][\"TEST\"].apply(utils.select).values"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "y_pred_train+1"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "y_train"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "precision_recall_fscore_support(y_train,y_pred_train+1,average=\"micro\")"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "precision_recall_fscore_support(y_dev,y_pred_dev+1,average=\"micro\")"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "precision_recall_fscore_support(y_test,y_pred_test+1,average=\"micro\")"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "data=shelve.open(\"scores/DECODA_AE_TANH_MINIBIN.shelve\")
  ",
      "#data.close()
  ",
      "data"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 71,
     "metadata": {
      "collapsed": true
     },
     "outputs": [],
     "source": [
      "data=shelve.open(\"./scores/DECODA_MINIAE_TANH.shelve\")"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 72,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAJZCAYAAACTE4A9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3XmcXFWd///XJwmyBwKEbszKGhZREcEFHTuAgOy/rwwG
  GUABcR8UFQgjEmfmp0RlkAGdQWCciEJERMDly5rEGVwAZZcQIpiVdAMCQU2AkD7fP85tutLpdHeS
  7lOp5PV8PPqRqnPvPfdU31upd51z7u1IKSFJkqSBNajeDZAkSdoQGLokSZIKMHRJkiQVYOiSJEkq
  wNAlSZJUgKFLkiSpAEOXJElSAYYuSRIAEXFKRPxv6W17qXd6RJy6htt+NyL+ub/bJK0pQ5fUjyLi
  7RFxV/W4PSL+EhEvRsQzEXF7RBzfZf0ZEbG0Wqfj56aa5VtGxDcjYm61bHZE/FtEbFOzzoci4qGI
  +FtEPBUR346IrWqWXxARr0TE4urnsYi4NCKau2n/2IhYHhHfWoPX/mREPNJNeY+vcRV1vadqx4tV
  m2dFxBld1qn9/Xb8+/ma13z1Kupuj4idupStcv0ubWqPiB93KX9jVT6tu31ExKTq+XE1ywdXZaOr
  56+Fg4gYUy3r+F0tiohvRcTgmu3/FBEHVo9Pqdb/fJd2zY+Iv+vpNa3C2twx27ttSz0wdEk1IiLW
  soojgJ/XPH9jSmkoMA6YAlwWEefXLE/AJ1JKQ2t+jqnashEwDdgDOKSq5x3As8D+1TqfA74KfA4Y
  CrwdGAPcHhFDavYzNaW0FbAN8P8BzcDvI6KpS/tPBh4BPlDtv0+qD/eNge0jYt8ui1f5GnuxsFp3
  K+AzwLcjYs8u9b6xWmfL6t9vdFnendUtr/UM8I6IGFZTdgowq4e6EvBn4Mtdzq+e9peArapjvjf5
  uH+yh/WfA86OiM17ab+kOjJ0qeFExDkRsaDqBZgZEeMjYlBEnBcRf6x6Ru6NiBHV+u+MiHsi4vmI
  uDsi3lFT1/SI+NeIuCsi/gbsGBFDI+KqqtdofkT8S8eHZUTsXPXcvBART0fEtV2adzjwi9rmAqSU
  nkspfR/4OHBelw/tVQW9U4CRwLEppVlVPc+mlL6SUrolIrYEJgGfSindnlJanlKaBxwPjAX+oWuF
  1TozgQ+QA8TnuqxyclXnn4GjVtGuVbX1euBG4EPdLF+rMJtS+r9Vm2pDV6xhvWvTllfIr/EEgIgY
  RP5d/qCXfdxabXvSarSj49x5FridFV97VzOB37Dy8ey+4tw7+kT1HnoiIk5YcXF8PSKeq5YdVrNg
  aERc2d17o0v9346Ir3cpuzEiPlM93iEirq/eQ09ExKd7afIu1Xt3cUT8JCK2rqn3uqo38Pnqvdnt
  7ylyr/G0iPhmX35H0kAwdKmhRMRu5G/8+1a9AIcCc8gfNh8ADqt6Rk4FllTh5mfAN4FtgYuBn3cJ
  Pf8AnA5sCcwj90i9DOwE7AO8t1oO8C/ArSmlrcmB6NKatjUD26eUHuzhJdwEDKHqqerFQcAtKaWl
  q1j+TnLv0k9qC1NKfyMHv/euquKUUnvVlnfXtP/dwPbVtteTg1SvImJT4DjgOuBHwIQuvWxrJbKj
  ga2A+/ur3jWUgO+Rwynk8+9hYFEv27UD5wMX1A4T9qIj6L++2s9vemnX+cBnagNJt5VGbAZcAhxa
  vYfeCTxQs8rbyCFuW+DrwFU1y6aQw2N3741a15LDf8c+twYOAa6tQtpPycdyB/J5fmZErPJ8JYfV
  D5F7aJdT874jn687k8/d+1g5ABN5OP4O4H9TSp/pYT/SgDJ0qdEsB14HvCEihqSU5qWU/gScBvxT
  SumPACmlh1NKz5OH+x5PKV2TUmpPKU0FHmPFXpz/Tik9VgWRbYD3AZ9NKb1U9TJ8E5hQrbsMGBMR
  I1JKr6SUfl1Tz+HALT01PqX0Knl4cJua4kurXoXnq3+/XJVvS88f5tsBz1bt7mpRtbwnT3Vpx8nA
  T1NKL5PD02ER0VsdAO8HXkwp/Yo8HJrIv/daq3qNPRkREc8BS4EbgJNSSk90Wee+LvX29MHdL1JK
  vwWGVV8ATiaHsL5s9zNy72J3IaWrAJ6JiOeB+cBfgR/3tEFK6SFyj9g5fah/ObB3RGySUmqrej87
  zEkp/VdKKZFD1g4RsX1EbE/3740TulaeUvpfIEXEu6qi44Bfp5TayF84tksp/f9Vz+sc4Eo632Pd
  uTqlNLP6AnI+8PcdPWwppf9OKS1JKS0D/hl4U9UL3GEE8EvghymlC/rwu5EGjKFLDaX60P0MeQjs
  6Yi4JiJ2AEYBT3azyeuBuV3K5pL/I+4wv+bxGGAjYFHHhznwn8DwavkXyO+beyLi4Yj4cM22XYcW
  V1L1AA0nD5V1+HRKaZuU0rDq344Phj+TewJW5Vlgu2qIq6sdquU9GUGeC0REbAL8PTlskVJ6gPx7
  +mAvdUAOHj+utltOHn7r2ku2qtfYk4UppW3IPZCXkIdluw5l7dOl3tv7UO9y8jGutRE5UPfV1cCn
  gBa69DT24ovAPwGb9LJeArZNKQ0DNgN+DdzWh/q/BHy8CkjdV5zSEnKv8MfJ5/lPI2JczSqtNet2
  9LJuwarfG6sK5j+kM5B9kM4eqNFUgbqmnonknqpVqX2PziV/8dou8rSCCyNPK3gB+BP5d1fbpiPI
  v+/Le6hfKsLQpYaTUpqaUno3+T9vgMnkYcGdu1n9KfL8plqjgYW1VdY8ng+8RP7A6/gw3zql9MZq
  30+nlM5IKY0APkae3L1TFabeQ+5p6Mmx5A/3e3t7neThkEOr4bvu/IY8DPp/agsjYgtyj8Qdq6q4
  Ci9HAf9TFf0f8kT8y6v5MYvIw6c9DjFGnjd3IHBKzXbHA4dHzRWWa6PqwTiXPLx4UpfFazI/ax4r
  nxM7snI478n3gU8AP08pvdTXjVJKdwB/rLbtbeJ+R0/Oy8B/A2/v7Xdazf27gRzsVll/NQfwEPJw
  3SzgO31ofo/vjW5cCxwX+QrNt9HZUzcfeLKqo6OerVJKPc0hHFXzeAx5iPNZ4ETyeXxgNeQ/lpXn
  +n2H3AP9f3t4L0lFGLrUUCJit8gT519H/o93Kbnn4krgXyNil2q9vat5W78Ado2ICZEv0/8A+WrA
  n3ZXf0qpldyjcHE18TaqUPV3Vb3HVUED4AXyXJ124F3Agymlv66i3cMi4kTgMuDCauizN1eTP6B+
  HBHjqrZsGxETI+KwlNKL5OGUSyPi0IgYEhFjyT0M88jB4LUmVO0YHBF7AFOBJuDfquUnk+fu7A28
  qfp5F3moZq8e2ngy+UN7t5rtdiOH2pWGndZUFbwuom9DZx0GR8TGNT+vq8p/CHwxIkZUv9ODgSPJ
  89j62p45wN+Re65W1xeBs3tZ57XgEBEbk3/Pi1JKz/Wh/n8GPgx0O7erGio8uprbtYw8dNndEPUK
  entvdLP+A+Te2ivJcxNfrBbdA/wlIs6OiE2qc3KviHhrD7v/h4jYvWrzl4EfVcOfW5C/eDwf+crN
  r9JN2EwpfZp8nv6s6tWV6qJPoSsi5kTEgxFxf0TcU5UNi4jbIt8/59ZY8b5AEyPfT2hmRBwyUI3X
  Bmlj4ELy3JinyEN1E8kT5H8I3BYRi8n/0W9afUgdCXye/M3488ARNaGnu96Ak8nDF4+Sh99+RO4R
  ANgPuDsiXiQPo/1j9QF8BCsPLSbgwWrd2eTJ/WemlLrOZ7osOu/J9JeIuBcgpfQKcDB5DtrtwGLg
  t+S5XndX63wdOA/4RrX8N+Qem4OroNLh+KodL1TtfoZ8MUJb5InaBwIXVz15HT/3kXsIeurtOgn4
  VkrpmdptycNOtdt1+xpX038BwyNPqoea32903qfr32rWnwAsqX6WknuYIIeSXwN3kY/vhcAHU0qP
  rk5jUkq/roJIt4t72o4cPHq7ZcTz1TFbRO4pOrrL8lXVP4cc2F+7fUREfDAiHq6eDgLOIgfjZ8nh
  8eO9tKVDT++N7lxDnij/2uT2ag7ikcCbycOBTwNXkHtau7a1Y/9Xk+eXPVXt/8xq2ffIXzAWkm91
  UjvHsqszyF9ibqwJ4FJRkb8s9LJSxJPk/6CfrymbDPw5pfS1iDgHGJZSOjfy5bo/IH84jSQPceya
  +rIjqUFFxB+A96eUHqt3WyRJ66a+Di9GN+seQ/7mQfXvsdXjo8k3Yny1+sY1m75dHi81pMg3EZ1i
  4JIk9aSvoSuR73B9b0R0XO7cVF3+2zHW33HlyQhWvNJkISteKSatV1JKy1JKX6t3OwZKRLyrZviu
  dojwxd637rHeid3U+2JE/Lz3rQfGutgmSeuPvt7A8ICU0qKIGE6eMzOLlecUOHworYdSSneRb9vQ
  3/V+lTzxeZ2xLrZJ0vqjT6ErpbSo+veZiLiRPFzYFhFN1UTcZvJkSMg9W7WX945kxcvzAYgIQ5ok
  SWoYKaW1+pNmvQ4vRsRmke/7Q3VJ7iHkP3txM51/Y+0U8p8UoSqfEBGvi4gdgV3IV+p013h/GvTn
  ggsuqHsb/PH4bYg/HrvG/vH4Ne5Pf+hLT1cT8JOqZ2oI8IOU0m0R8Tvguog4lXyJ+vFVkHo0Iq4j
  X1K8DPhE6q/WSpIkNaheQ1fKf9fuzd2UP0e+h1B32zgvQpIkqYZ3pNcaaWlpqXcTtBY8fo3LY9fY
  PH4btj7dHHVAdhzhqKMkSWoIEUEa6In0kiRJWnuGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIk
  SSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJU
  gKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBD
  lyRJUgGGLkmSpAIMXZIkSQUMqXcD+qK5eSxtbXPr3QytoaamMbS2zql3MyRtwEaPbmb+/LZ6N0Nr
  aNSoJubNa613M9ZapJTqs+OI1Nd9RwRQn3aqPwT1Os8kCfLnyPTp9W6F1tT48dT9cyQiSCnF2tTh
  8KIkSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYu
  SZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIk
  SQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIK
  MHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDo
  kiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJ
  klSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSp
  AEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGG
  LkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKmAPoeuiBgUEfdFxM3V82ER
  cVtEzIqIWyNiq5p1J0bE7IiYGRGHDETDJUmSGsnq9HSdCTxa8/xc4I6U0jhgGjARICL2BI4H9gDe
  B3w7IqJ/mitJktSY+hS6ImIkcDhwZU3xMcCU6vEU4Njq8dHA1JTSqymlOcBsYP9+aa0kSVKD6mtP
  18XAF4BUU9aUUmoDSCm1AttX5SOA+TXrLazKJEmSNlhDelshIo4A2lJKD0RESw+rph6WdWvSpEmv
  PW5paaGlpafqJUmSypgxYwYzZszo1zojpZ6zUkR8BfgH4FVgU2BL4CfAW4GWlFJbRDQD01NKe0TE
  uUBKKU2utr8FuCCldHeXelNv+65ZlzXIdFpnBH091pI0ECKC6dPr3QqtqfHjqfvnSESQUlqrOeq9
  Di+mlM5LKY1OKe0ETACmpZROAn4KfKha7RTgpurxzcCEiHhdROwI7ALcszaNlCRJanS9Di/24ELg
  uog4FZhLvmKRlNKjEXEd+UrHZcAn+tylJUmStJ7qdXhxwHbs8OIGxOFFSfXl8GJj22CGFyVJkrT2
  DF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6
  JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmS
  JBVg6JIkSSqgoULXoYfCzJkwaxacffbKyz/3ObjvPvj97+Ghh2DZMthqq7zs3HPhkUfgwQfh+9+H
  jTbK5XvvDb/6FTzwANx4I2y+ebnXI0nrmlv+eAu7X7Y7u126G5PvmrzS8m/8+hvsc/k+vOXyt7D3
  f+zNkH8ewgsvvcDLr77M2658G/tcvg97fXsvzrvzvJW2vejXFzHoy4N4bulzJV5Kt+65B04+GU46
  Ca69duXlixfDOefA6afDqafCLbd0LpswAU47DT7yEfj4x8u1WeuPSCnVZ8cRqa/7jggiEo8/Dgcd
  BE89Bffem98As2Z1v80RR8BnPgPvfS+MHg3Tp8Puu+cgNnUq/PzncPXVcPfdcNZZOXidcgrstBNc
  cEE/vlABQb3OM0l9157a2e3S3bjz5Dt5/ZavZ78r9mPqcVPZfbvdu13/Z4//jG/+9pvccfIdACxZ
  toTNNtqM5e3LOeC/DuCiQy7igNEHALDgxQWcfvPpzPrzLH5/xu/ZZtNtir0uyJ8jd96Zw9ZFF8F2
  28HHPgZf+lL+jOgwZQq88koOVosX54B2ww0weDB88INw+eWw5ZZFmy5g/Hjq/jkSEaSUYm3qaJie
  rv33h9mzYd48ePXVHJyOOWbV659wQue3mBdfzG+izTfPb5zNNoOFC/Oy3XbLgQvgjjvg/e8f2Nch
  Seuqexbew67b7sqYrcew0eCNmPCGCdz02E2rXP/aR67lhDec8NrzzTbaDICXl79Me2pn2KbDXlv2
  2Vs/y9ff+/WBa3wfPPYYjBwJzc0wZAgceGDn//8dhg2DJUvy4yVLYOjQ/LkBkBK0t5dts9YvDRO6
  RoyA+fM7ny9YkMu6s8kmcNhh8OMf5+cvvJC/2cybl8PWCy/AtGl52SOPwFFH5cfHH5/fkJK0IVr4
  4kJGDR312vORQ0ey8C8Lu1136bKl3PLHW3j/np3fVNtTO/tcvg/N32imZWwLew7fE4CbZ93MqKGj
  2Ltp74F9Ab145hkYPrzz+fDhuazWkUfCnDlw3HF5iPFTn+pcFgFf+ELuIfvZz4o0WeuZhgldq+Oo
  o+Cuu3LXMMCOO8JnPwtjxsDrXw9bbJF7wiCPz3/yk3mcf/PNc4+YJKlnP338p7xr9LvYepOtXysb
  FIO4/6P3s+CsBfzP3P/hl3N+ydJlS/nK/36FL7d8+bX16j1M1JNrroGdd4brr4fvfAcuuQSWLs3L
  Lr00l114YZ4D/PDD9W2rGk/DhK6FC1ccdx85snOIsKsJE1acIPnWt+Yu5Oefz13DN9wA73xnXvb4
  47lXbP/985DlE08M3GuQpHXZiKEjmLd43mvPF7y4gBFbdj+kMPWRqSsMLdYauvFQjtj1CH731O94
  4vknmPPCHN70n29ix0t2ZMGLC9j3O/vy9N+eHpDX0JPhw+Hpmt127fmCPPrxnvfkxyNG5KHIedWv
  ZNtt879bbw3vfne+sEtaHQ0Tuu69F3bZJQevjTbKwermm1deb+jQ/Ia5qWYawqxZ8Pa3w8Yb5+cH
  HdT5Ztluu/xvBHzxi/Cf/zmwr0OS1lX7vX4//vjcH5n7wlxeWf4KUx+ZytHjjl5pvcUvLeaXc3/J
  MeM6J9Y+u+RZFr+UhxeWLlvK7U/ezpub38wbtn8DrZ9v5ckzn+RPZ/6JkUNHcv9H72f7zbcv9ro6
  jBuXv6y3tuaLqqZN6/wC3mH06HwVPMBzz+WpLDvsAC+91NnjtXRp/kzaccey7VfjG1LvBvRVe3se
  W7/tNhg0CK66Kk+KPOOMPLnxiivyesceC7femt8gHR56CL73vXwrieXL4f77cxcx5GHGT34y13HD
  DfnKFUnaEA0eNJjLDr+MQ75/CO2pndP2OY09hu/B5b+7nIjgjH3PAODGx27k0J0PZdONNn1t20V/
  WcQpN55CItGe2jnpjSdx0E4HrbSPIEjUZ3hx8GA488x8y6H2djj88Dzt5Oab8xfvo46CE0+EyZPz
  1BOAj340f5lftAjOPz+vt3w5HHww7LdfXV6GGlhD3DKiuXksbW1zB7hFGihNTWNobZ1T72ZI2oCN
  Ht3M/Plt9W6G1tCoUU3Mm9da1zb0xy0jGiJ0SZIk1dMGdZ8uSZKkRmbokiRJKsDQJUmSVIChS5Ik
  qQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIB
  hi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpgCH1bkBfNDePpa1tbr2b
  oTXU1DSG1tY5/V5v88hm2ha29Xu9KqNpRBOtC1r7vV7Pi8Y2UOfF6NHNzJ/vedGoRo1qYt68/j8v
  SouUUn12HJH6uu+IAOrTTvWHYCDOs4iASf1erUqZhOeFVjZp4M6L6dP7vVoVMn78wJwXqyMiSCnF
  2tTh8KIkSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElS
  AYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIM
  XZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLok
  SZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIk
  FWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA
  0CVJklSAoUuSJKkAQ5ckSVIBvYauiNg4Iu6OiPsj4g8R8ZWqfFhE3BYRsyLi1ojYqmabiRExOyJm
  RsQhA/kCJEmSGkGvoSul9DIwPqW0D/BG4MCIOAA4F7gjpTQOmAZMBIiIPYHjgT2A9wHfjogYoPZL
  kiQ1hD4NL6aUllQPN662eR44BphSlU8Bjq0eHw1MTSm9mlKaA8wG9u+vBkuSJDWiPoWuiBgUEfcD
  rcCMlNKjQFNKqQ0gpdQKbF+tPgKYX7P5wqpMkiRpgzWkLyullNqBfSJiKHBrRLQAqetq/dw2SZKk
  9UafQleHlNKLEfEL4K1AW0Q0pZTaIqIZeLpabSEwqmazkVXZSiZNmvTa45aWFlpaWlanOZIkSQNi
  xowZzJgxo1/rjJR67qCKiO2AZSmlxRGxKXAr8GXgEOC5lNLkiDgHGJZSOreaSP8D4G3kYcXbgV1T
  lx1FRNeintqAHWmNLOjrsV6tWiNgUr9Xq1Im4XmhlU0auPNi+vR+r1aFjB8/MOfF6ogIUkprdWFg
  X3q6dgCmVFcgDgKuTindWc3xui4iTgXmkq9YJKX0aERcBzwKLAM+0ed0JUmStJ7qNXSllB4G3tJN
  +XPAwavY5qvAV9e6dZIkSesJ70gvSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0
  SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIk
  SSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJU
  gKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBD
  lyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5J
  kqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAobUuwF9
  0dQ0hra2qHcztIaamsYMTL0jmmib1DYgdWvgNY1oGrB6PS8a10CdF6NGNTF+vOdFoxo1amDOi9Ii
  pVSfHUekeu1bkiRpdUQEKaW16gFyeFGSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQV
  YOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQ
  JUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUMqXcD+qK5eSxtbXPr3QytoaamMbS2zun3esc2
  NzO3ra3f61UZY5qamNPa2u/1el40toE6L0aPbmb+fM+LRjVqVBPz5vX/eVFapJTqs+OI1Nd9RwRQ
  n3aqPwQDcZ5FhGdFAwvwvNBKBvK8mD6936tVIePHD8x5sToigpRSrE0dDi9KkiQVYOiSJEkqwNAl
  SZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5Ik
  qQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIB
  hi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUQK+hKyJGRsS0iPhDRDwcEf9YlQ+L
  iNsiYlZE3BoRW9VsMzEiZkfEzIg4ZCBfgCRJUiPoS0/Xq8BZKaW9gHcAn4yI3YFzgTtSSuOAacBE
  gIjYEzge2AN4H/DtiIiBaLwkSVKj6DV0pZRaU0oPVI//CswERgLHAFOq1aYAx1aPjwamppReTSnN
  AWYD+/c6a/6yAAAT4klEQVRzuyVJkhrKas3pioixwJuB3wJNKaU2yMEM2L5abQQwv2azhVWZJEnS
  BqvPoSsitgCuB86serxSl1W6PpckSVJlSF9Wiogh5MB1dUrppqq4LSKaUkptEdEMPF2VLwRG1Ww+
  sipbyaRJk1573NLSQktLy2o1XpIkaSDMmDGDGTNm9GudkVLvHVQR8T3g2ZTSWTVlk4HnUkqTI+Ic
  YFhK6dxqIv0PgLeRhxVvB3ZNXXYUEV2Leto/dqQ1sqCvx3q1ao3wrGhgAZ4XWslAnhfTp/d7tSpk
  /PiBOS9WR0SQUlqrCwN77emKiAOAE4GHI+J+cvo5D5gMXBcRpwJzyVcsklJ6NCKuAx4FlgGf6HO6
  kiRJWk/1qadrQHZsT9cGxJ4urcyeLnXHni51Z33p6fKO9JIkSQUYuiRJkgowdEmSJBVg6JIkSSrA
  0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFL
  kiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJ
  UgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQC
  DF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6
  JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmS
  JBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkq
  wNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCmio0HXooTBzJsyaBWefvfLybbaB
  X/wC7r8fHnoITjml79uedRYsXw7Dhg1c+zUwbgF2B3YDJnez/M/A+4A3A3sD/12VLwAOBPaqyv+9
  ZpsvAW+qtjm4WldS47vnHjj5ZDjpJLj22pWXL14M55wDp58Op54Kt9zSuWzCBDjtNPjIR+DjHy/X
  Zq0/IqVUnx1HpL7uOyKISDz+OBx0EDz1FNx7b34DzJrVud6XvgSbbALnnQfbbpuXNTVBezs9bjti
  BFx5JYwbB/vuC88/PwAveIMWDMR5FhEsJ4etO4HXA/sBU8khrMOXgZeArwLPAuOAtupxKzlY/RXY
  F7ip2vavwBbV9pcCDwJX9vsr2LAFDNh5UZ//1dQfBvK8uPPOHLYuugi22w4+9rH8uTF6dOd6U6bA
  K6/kYLV4cQ5oN9wAgwfDBz8Il18OW27Z781TL8aPH5jzYnVEBCmlWJs6Gqana//9YfZsmDcPXn0V
  pk6FY45ZcZ3W1s43w5Zbwp//nHuvetv24ovhC18o91rUf+4BdgXGABsBE8jBqVYz8Jfq8V+AbYEh
  Vfmbq/ItgD2AhTXPO/wN2K6/Gy6puMceg5EjobkZhgyBAw+EX/1qxXWGDYMlS/LjJUtg6NAcuABS
  yl/ipTU1pN4N6KsRI2D+/M7nCxbkMFXriivgzjth4ULYYgv4wAd63/aoo/KyRx4Z2PZrYCwERtU8
  H0kOYrU+AhxE7gn7K/DDbuqZAzwAvK2m7IvA94DNgLv7p7mS6uiZZ2D48M7nw4fnaSe1jjwSPvc5
  OO44WLo094R1iMhf0AcNyusdeWSZdmv90TA9XX0xcSI8+GAOWfvsA9/6Fmy++arX7xiKvOCCzrJY
  q45DrYu+Sp6f9RRwP/BJcvjq8FfgOOASVuzh+ldgHvBh4DNFWiqp3q65BnbeGa6/Hr7zHbjkkhy+
  AC69NJddeCHceCM8/HB926rG0zCha+HCFcfdR47MZbUOOAB+9KP8+Mkn4U9/gt13X/W2O+8MY8fm
  oPbkk7n8979f8ZuQ1m0jyMGow4KqrNavgL+vHu8M7Ag8Vj1/lRy4TgK6jFa/5oPA7/qjsZLqavhw
  ePrpzudde74gj3q85z358YgReShyXvWfzLbb5n+33hre/e6Ve8mk3jRM6Lr3XthllxyeNtooT4S/
  +eYV15k5Ew4+OD/efnvYbbccpla17R/+ADvskMPXTjvlYcd99slvRDWG/YA/AnOBV8iT6I/uss4e
  wB3V4zbgcWCn6vmpwJ7AmV22+WPN4xvpnPslqXGNG5e/cLe2wrJlMG0avPOdK64zejTcd19+/Nxz
  +XNhhx3gpZc6e7yWLs2fKzvuWLb9anwNM6ervR0+9Sm47bY8nn7VVXlS5Bln5MmNV1wBX/0qfPe7
  8MADeZjw7LM7r0TsbtuuUnJ4sdEMBi4DDgHagdPIIety8lVQZwATyUOEbwIS8DVgG3IP2A/It4vY
  p1r/K8BhwLnkcDaYHND+o9QLkjRgBg+GM8/Mnw3t7XD44TBmTP4SHpHn+J54IkyenG8NAfDRj+bJ
  9IsWwfnn5/WWL89f8Pfbr76vR42nIW4Z0dw8lra2uQPcIg2UpqYxtLbO6fd6xzY3M7etrd/rVRlj
  mpqY09ra7/V6XjS2gTovRo9uZv58z4tGNWpUE/Pm9f95sTr645YRDRG6JEmS6mmDuk+XJElSIzN0
  SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIk
  SSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJU
  wJB6N6AvmpvH0tY2t97N0BpqahpDa+ucejdD0gZs9Ohm5s9vq3cztIZGjWpi3rzWejdjrUVKqT47
  jkh93XdEAPVpp/pDUK/zTJIgf45Mn17vVmhNjR9P3T9HIoKUUqxNHQ4vSpIkFWDokiRJKsDQJUmS
  VIChS5IkqQBDlyRJUgG9hq6IuCoi2iLioZqyYRFxW0TMiohbI2KrmmUTI2J2RMyMiEMGquGSJEmN
  pC89Xd8FDu1Sdi5wR0ppHDANmAgQEXsCxwN7AO8Dvh35fg+SJEkbtF5DV0rpLuD5LsXHAFOqx1OA
  Y6vHRwNTU0qvppTmALOB/funqZIkSY1rTed0bZ9SagNIKbUC21flI4D5NestrMokSZI2aP31Z4DW
  6DaxkyZNeu1xS0sLLS0t/dQcSZKkNTdjxgxmzJjRr3X26c8ARcQY4KcppTdWz2cCLSmltohoBqan
  lPaIiHOBlFKaXK13C3BBSunubur0zwBtMPwzQJLqyz8D1Ng2tD8DFNVPh5uBD1WPTwFuqimfEBGv
  i4gdgV2Ae9amgZIkSeuDXocXI+IaoAXYNiLmARcAFwI/iohTgbnkKxZJKT0aEdcBjwLLgE/0uTtL
  kiRpPdan4cUB2bHDixsQhxcl1ZfDi41tQxtelCRJ0lowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkA
  Q5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYu
  SZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIk
  SQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIK
  MHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDo
  kiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJ
  klSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSp
  AEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGG
  LkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2S
  JEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBTRU6Dr0
  UJg5E2bNgrPPXnn55z4H990Hv/89PPQQLFsGW20Fu+7aWX7fffDCC/DpT6+47VlnwfLlMGxYmdci
  SSrvnnvg5JPhpJPg2mtXXr54MZxzDpx+Opx6Ktxyy4rL29vhjDPgn/6ps+yXv4QPfxgOOggef3xg
  26/G1jChKwIuuywHr732ghNOgHHjVlznoovgLW+BffeFiRNhxoz8Bpo9u7N8333hb3+Dn/ykc7sR
  I+C974W5c4u+JElSQe3tcMkl8LWvwXe/C3feCfPmrbjOjTfCLrvAlVfCxRfDf/xH/kLe4cc/hjFj
  Vtxmxx3hX/4F3vSmgX8NamwNE7r23z+Hp3nz4NVXYepUOOaYVa9/wgndf4s5+GB44glYsKCz7OKL
  4Qtf6P82S5LWHY89BiNHQnMzDBkCBx4Iv/rViusMGwZLluTHS5bA0KEweHB+/swzcPfdcMQRK24z
  enSuN6WBfw1qbA0TukaMgPnzO58vWJDLurPJJnDYYfkbSVcf+MCKYeyoo3K9jzzSv+2VJK1bnnkG
  hg/vfD58eC6rdeSRMGcOHHdcHmL81Kc6l33rW/CxjxVpqtZTDRO6VsdRR8Fdd+WhxVpDhsDRR8OP
  fpSfb7IJnHceXHBB5zoR5dopSVq3XHMN7LwzXH89fOc7eThy6VL4zW9yL9guu+T17NXSmhhS7wb0
  1cKFuQu3w8iRuaw7EyZ0P7T4vvflyfTPPpuf77wzjB0LDz6Yw9bIkXn5/vuv/O1HktTYhg+Hp5/u
  fN615wvyqMeJJ+bHI0bkoch583L5r3+dhxdffjkPPX7lK/mLu9RXDRO67r03f8MYPRoWLcrB6oQT
  Vl5v6FB4z3s63zS1us7z+sMfYIcdOp8/+WSecP/CC/3ffklSfY0bl7+st7bCttvCtGlw/vkrrjN6
  dL7Kfe+94bnn8lSWHXaAj3wk/wA88EAeMekucNkDpp40TOhqb89j67fdBoMGwVVX5UmRZ5yRT/Ir
  rsjrHXss3HorvPTSittvummeRH/GGaveR0oOL0rS+mrwYDjzzHzLofZ2OPzwfCXizTfn//uPOip/
  YZ88GU47LW/z0Y/mL/M9uesu+Pd/z1NazjsvdxBMnjzwr0eNJ1KdYnlEpL7uu7l5LG1t3s+hUTU1
  jaG1dU69myFpAzZ6dDPz57fVuxlaQ6NGNTFvXmtd2xARpJTWqmumIUKXJElSPfVH6Fovr16UJEla
  1xi6JEmSCjB0SZIkFWDokiRJKmDAQldEHBYRj0XE4xFxzkDtR5IkqREMSOiKiEHAZcChwF7ACRGx
  +0DsS/UxY8aMejdBa8Hj17g8do3N47dhG6ierv2B2SmluSmlZcBU4JgB2pfqwP84GpvHr3F57Bqb
  x2/DNlChawQwv+b5gqpMkiRpg+REekmSpAIG5I70EfF2YFJK6bDq+blASilNrlnH29FLkqSGsU7+
  GaCIGAzMAg4CFgH3ACeklGb2+84kSZIawJCBqDSltDwiPgXcRh7CvMrAJUmSNmR1+4PXkiRJG5K6
  TKT3xqnrtoi4KiLaIuKhmrJhEXFbRMyKiFsjYquaZRMjYnZEzIyIQ+rTanWIiJERMS0i/hARD0fE
  P1blHsN1XERsHBF3R8T91fH7SlXusWsgETEoIu6LiJur5x6/BhERcyLiweo9eE9V1m/Hr3jo8sap
  DeG75ONT61zgjpTSOGAaMBEgIvYEjgf2AN4HfDsi1mqiodbaq8BZKaW9gHcAn6zeYx7DdVxK6WVg
  fEppH+CNwIERcQAeu0ZzJvBozXOPX+NoB1pSSvuklPavyvrt+NWjp8sbp67jUkp3Ac93KT4GmFI9
  ngIcWz0+GpiaUno1pTQHmE0+xqqTlFJrSumB6vFfgZnASDyGDSGltKR6uDH5/+jn8dg1jIgYCRwO
  XFlT7PFrHMHK2ajfjl89Qpc3Tm1M26eU2iB/qAPbV+Vdj+dCPJ7rjIgYC7wZ+C3Q5DFc91VDU/cD
  rcCMlNKjeOwaycXAF4DaCdMev8aRgNsj4t6IOL0q67fjNyBXL2qD4BUY67iI2AK4HjgzpfTXbu6N
  5zFcB6WU2oF9ImIocGtEtLDysfLYrYMi4gigLaX0QHXcVsXjt+46IKW0KCKGA7dFxCz68f1Xj56u
  hcDomucjqzKt29oiogkgIpqBp6vyhcComvU8nuuAiBhCDlxXp5Ruqoo9hg0kpfQi8AvgrXjsGsUB
  wNER8SRwLXlO3tVAq8evMaSUFlX/PgPcSB4u7Lf3Xz1C173ALhExJiJeB0wAbq5DO9SzqH463Ax8
  qHp8CnBTTfmEiHhdROwI7EK+Ga7q67+AR1NKl9SUeQzXcRGxXceVURGxKfBe4H48dg0hpXReSml0
  Smkn8mfbtJTSScBP8fit8yJis2qEgIjYHDgEeJh+fP8VH170xqnrvoi4BmgBto2IecAFwIXAjyLi
  VGAu+YoNUkqPRsR15Ct1lgGfSN78ra6qq91OBB6u5gYl4DxgMnCdx3CdtgMwpboCahC5p/LO6jh6
  7BrXhXj8GkET8JNqKsYQ4Acppdsi4nf00/Hz5qiSJEkF1OXmqJIkSRsaQ5ckSVIBhi5JkqQCDF2S
  JEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUwP8DPdmCu9bkXO4AAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f7966f3cb90>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "source": [
      "scores={}
  ",
      "#del scores_ordoned
  ",
      "for key,table in data.iteritems():
  ",
      "    scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)
  ",
      "   # if key not in scores_ordoned:
  ",
      "   #     scores_ordoned[key]=[scores[key]]
  ",
      "   # else :
  ",
      "   #     scores_ordoned[key].append(scores[key])
  ",
      "#data.close()
  ",
      "show_network_TRANS(scores,title=i)"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 18,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "data.keys()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 73,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "data": {
        "text/plain": [
         "<matplotlib.axes._subplots.AxesSubplot at 0x7f7968041f10>"
        ]
       },
       "execution_count": 73,
       "metadata": {},
       "output_type": "execute_result"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xl8VNX9//HXJyEBkrDKnrCJgiAKYhHFLdVWQUVcUMBa
  rdalWqttf6JSpWi1KAXbaqEqrVtxrWILtBZQMfVrBUUBQdkFkU2QnRAISTi/P+4kmUy2IbmZmRvf
  z8eDx8zcOXPvZ0LymTOfc+655pxDRESCKSneAYiISM0piYuIBJiSuIhIgCmJi4gEmJK4iEiAKYmL
  iARYVEnczAaZ2QozW2Vmd1fwfHMze8PMPjWz+WbWy/9QRUQkUrVJ3MySgEnA+cDxwEgzOy6i2a+A
  Rc65PsC1wON+ByoiIuVF0xM/BVjtnFvvnCsAXgGGRrTpBcwFcM6tBLqYWWtfIxURkXKiSeKZwIaw
  xxtD28J9ClwGYGanAJ2ALD8CFBGRyvk1sPkI0MLMFgI/BRYBRT7tW0REKtEgijab8HrWxbJC20o4
  5/YB1xc/NrN1wNrIHZmZFmoREakB55xVtD2anvgC4Bgz62xmqcAIYEZ4AzNrZmYpofs3Av91zuVW
  Ekig/o0dOzbuMdT3mIMWr2JWvLGOuSrV9sSdc0VmdhswJ5T0n3bOLTezm72n3RSgJ/C8mR0GPgd+
  XN1+RUSk9qIpp+CcmwX0iNj2VNj9+ZHPi4hI3dMZm9XIzs6OdwhHLGgxBy1eUMyxELR4IT4xW3X1
  Fl8PZuZieTwRkfrAzHC1GNgUEZEEpSQuIhJgSuIiIgGmJC4iEmBK4iIiAaYkLiISYEriIiIBpiQu
  IhJgSuIiIgGmJC4iEmBK4iIiAaYkLiISYHFP4tdeCx9+GO8oREpddRXMnw8/+xnMmhXvaESqFtV6
  4nXpb3+Ddu1gwIB4RyLiefllOOkkmDQJNm6EQYPiHZFI5eLaEy9elTYvL55RHJncXO/f11+Xbtuz
  Bw4cKNvOOdi61f/jf/UV7N/v/36lrOLfzQYNYMWK0sciiSauSfyzz7zbSZPiGcWRGTgQvvMdaN8e
  NoUuF92uHQwfXrbdSy952/3WuTPce6//+5WyDh/2bnfuhJ49Yd26+MYjUpm4llO2bInn0Wvms8/K
  f4M4eBBWrSrbri564cWKPzyk7hQn8eJvPXv2xC8WkarENYnPmVN6/+OPvR5uVWbOhIkTYdcuOO44
  +PWvoXfvuotv69bS3nSrVjB2bNnnb7oJ3n3Xu28Gzz7r9diaNoVRo/yNZcIE+Ogj7/7773uPR43y
  YvriC+8DZeJEOPpo/445cCBkZcHo0fDQQ97Pu0+fsm327IFbb4VDh6reV/PmMGWK93OqzKuvwuuv
  1z7u2ij+gC7+tlM86K4SliSquCbxzZvhjjvgnXe8ZFhdEv/nP+G997z7HTp49+syiYfPTNi+3Zut
  kJRU+oeekwP5+aVtrr++7mL5y1/gttu8mRObNnklqFGj4De/KW1zwgnwwAP+HK+oCObN8+5nZsIb
  b8BZZ5VP4itXeh8u48ZVvb/rr4fx46Fly8rb/P3v0LVrfAe5iz8oIymJS6KKaxLPy/MSQ2Zm+fLD
  /v2wY0fp4wYNvB5nsQED4MsvvR5gbi40bgyFhd5zubleoi1+XFPhxy9W/DW72NKlpe+lruTlee/9
  6qu9JLhzJ4wZU36wbedOb+ATvB50Ui1GPHbtKr3/ySfe7Zo1pfsvtmwZdO8OV1xR9f7uvRc+/RS6
  dau8zcaNcPvtcPbZNYvZD40be99oIimJS6KKaxLfvx8yMrxSxeefl30uI8O77dgRNmwo3X755d5X
  86wsr9f5+ONle8PhWraE9PS6ib1Y//7ebWRy89NVV3m3LVp4t82bw759sGBB2XavvQbTp3vJfPJk
  bw5+TbVu7d22a+d9WA4f7u17+vTybW+4ofr9nXFG9fGkpMAxxxxxqL5KSal4u5K4JKq4J/H0dC9h
  5+aWbi8o8G5/8AN44QUvcb/xhrftd7/z6r6bNnk12soSOHiJbMQI/+Ktqp5bl7Zs8ergxcdPSoK0
  NK+UcdFF3lhBuNGjvV6tX8f2wzPP+LOfupaaWnr/d7+Du+7y7lf1eyYST3FL4lu2eDXX9HTv37Rp
  3ok/r7/ufUWH0l50Wlrp69q08W5bty47V7siycn+xtyw4ZH/Mc+c6b3XtWvLzyWP1qpVpe+7WHq6
  N4gauR2gbVvvZ7ltW3T7v/xyr6wl0KhR6f0GYX8dBw/C6h2rGfbaMD79yaexD0ykEnFL4n/8o3fb
  ogXs3u3dj/y6/cgjpW1//nOvRl1cZgnvMU2Y4CXsBg28XnyXLt7jCy7wN+a5c+H000sfP/aYNzAL
  8Oc/w+zZ5csNd97pJeHWrWs+v/uRR7wBv3AZGd6HQ7Nm5dtfcUX03xrmzYMXXyyfxNu1g5/8pGbx
  BtmAAfD2294H9skne+WyF17wPrwXfb2IJVuXxDtEkTLilsSbNvVu27QpP8cavCmExTXgo47y/lXm
  zjv9j68ip53m3bZq5c1WCa/f3nKL9wESmcQbN/Zuu3UrTfh+SEvzPtQqqiFnZkZ/rI4d4fnnyw8C
  t2zp9dC/bZKS4NxzSx+fcQa8+abXE09PKR1gOVBwgD353uTxBkkNaNGoBd/kfVNuf23S25BkcV+i
  SOqxuCXx5s2928aNvaQT6dJLYxtPNIp7t9df7/XWIudkVzQb5NPQN+/u3f2P57XX4P77a7ePbt28
  qZThZQTweqLFg5vfdg0bwn33wblfNoYs2JdbxGX/uJiFWxaSkpTCzgM7ubTnpby5+s0yiT73UC7j
  zh3H7QNur5O42rb1vt3dXje7l4CIWxJv1Kh0XnWvXjVbm2Lo0IpnS9SlyDiPPtqrd0PpgGyxffug
  SRNvil6/fv7GMWmSVwKJTL5Hqk8fDdpVp/hn/M7cw3ANfL1rL4u/XszSW5bSoUkHRk4bybRl05h6
  6VSG9y5df2HKJ1MY93/jyO6SzYltT/Q9rm3bvBPmlMS/3eKWxKdN82rXtVFcH4+n8NOxI0sSxX/8
  kcndD23berd+D95KeQ0bhu4kef+R76+fz+6Du2mf0R6Aid+fyI9P+jFndjqzzOuuPvFq3l77NhM/
  mMiP+v6Ic7qe43tsixb5vstamzu3/PTX2kpP984Mrs25D/VV3JL4f/4DI0fWbh8TJngnwMRTTk7p
  rJMrr/TKRDfd5D1OToapU/3vhUPpQOf69f7vW8rq2TN0J9lL4q+seJazO5+NheprmU0zyWxaviaY
  lpLGz0/9OZMXTGboK0PZe8/ektf4ZfNmX3fniwcf9M6ozsryb5/jxsEll/i7z/oiLkm8uGda0sOp
  ofbtvX/xFH7af+fOcOONpUncrO4+ZIpPStHCTHWv+IQukr0FYuZseo2/DvlrVK8d2HEgAzsOpPuf
  upP0m9Ju5NUnXs3US6fWOrZ4nbtQla1bvXLf8cf7t885c7z9KomXF5ckrrPf/JGcXDcDplJW8SA8
  SQXw2XDo/Sq/vLk9o4/gW5BjJa3wPtRvHL2cM545g+umX8dD332owl58dfYf2g+/6An/fpJXXrkg
  oeriu3f737nq1MmbNRQ+tVg8cU3i4SdTfLn7S7o07xKPcAIrP181wlgo+RknF0BRCqnPfcT4e/px
  2RHNoDI++AD+8Afo2aonT170JI9/+DhPfvwkZ3cpXSzmqMZHcVL7k6rd26Iti6HZBtwl17JkyTfc
  cIN3LkUiSE0N++Dzyauvwt69/u4zSIrHwCoS1yQePijX9bGurLtjnRL5EdCgZowlFcDhFA592Z+s
  zIrPlq1K9+7eQmb/+pdx5ZArSbIknvz4SeZtnIdz3myTVQc+4Kkue0m2iv8027b12i3cFvrPT9vO
  /P9640tHGk+QNGpU+5lY9VVcknjxOilPt8vgqQf2872jvwfAnoP1o8Cbne0NeEr9ceyxsDr5EBR5
  3+drsrDa0UfD4MHeSVQ7d8KwXsMY1msY4C2Be9EoaHTjcdyyOpOKLrqVue06vpgyjmOPhbXkwg+8
  7VlZWjbh2yyqJG5mg4A/4v1mPe2cGx/x/FHAC0B7IBl41Dn3XGX7278fSPuGQvO65G+vfRuAMe+O
  ocdRPWjfpD192/WtkylZsTB2rJJ4fXPvvfCjeVNgg7fuQk3Oa2jUyFsX/u23vd50+BTZrVu9U/5f
  Hvsx+/L3lXvtwi0LuXH6LfC9Io461dhx4AN2bu5Ho07LeP55x8a9G7nn7cm4iMBuOvkmurWsYv3f
  KM1aM4t3171bbbu2GW355Wm/rPXxJHrVJnEzSwImAecCm4EFZjbdObcirNltwGLn3GAzawWsNLMX
  nHMVrui9fz9w+oRy22eumslMSpfkKxxTSHJS8GoGiThjQKKXX5jPnvw9tEkvrU+kpADtF4N5C8oX
  L6dQEx06eD3y8H3s2gXnnw8ZqRlkpJY/AeL7ad/njlN+wT3TD7G14Qx2NvgAmkCSpfHVnq+YumQq
  73/1PkO6Dyl5zewvZnPYHebavrVYkzjkgf8+QN+2fastd455dwxndjqTxim1+AEluOaNmpPVNHGm
  yUTTEz8FWO2cWw9gZq8AQ4HwJP41cELofhNgR2UJHLwk3iUznS+rOfDD7z/MfWfdF0WIIv65d+69
  PDrvUdzY0l5t8eBm44xCVm+seKmIaE2bVvEKnFWd/JaanMrdZ/+Cy5+Dj3K78YPpH/D7c55g2uoX
  eOLjJxj/v/E89N2HuPuMu0tec2LbExn11ij+s+Y/NQ827PgPnvMgrdJaVdlu+fblXDf9ulofL1E5
  HFv2bWHHXTt8n/NfU9Ek8Uwg7LIMbMRL7OH+ArxjZpuBDCDi2u9l7d8PLTIaV5jEc0fnkvGw1xMZ
  8+4Yxrw7BoCT2p3E6R1P508X/Kmk7d78vfR9si9r71gbxdvw389n/Zx+7ftxTZ9rymyP/L/NPZTL
  Wc+exY39buSW/rfEMEKpiVU7yq/IVvx/mp7frVYJHLwVIouv3XqkjjkGjmEYV/X1PmBaNU3np2/+
  FIBOzTqVaTv42MEMPnZwrWI9Us9d8lxMjxcPmb/PpO9TfUm2ZBZ9vYgJ35/AnQNjtApfBfwa2BwN
  fOqc+66ZdQPeMrMTnXO5kQ3vv/9+FiyA9bv/CccCEUuspqem882ob/ho00dc+NKFJdsnfH8Cl//9
  cro070JqcioXdb+IwsOFrNu9DudczD4Vdx/czew1sxneeziPffgY3+nwHVqntWbwsYMpPFzI1E+n
  0pVr8IYGvKmT/1j+DxZ9vYg/f/xnDhYerHUMHZt1LBkQE//NXDWz3LaUFOBQOhPPfTz2AVVhRO8R
  9G7Tm+SkZE5oc0L1L5Bam/fjeWzP2w7AyVNOZtRbo0g2f8u+axauYc3CNVG1jSaJbwLCP+KzQtvC
  nQ78FsA594WZrQOOAz6O3Nn999/PhAnwZp53Rd9x54zjV3N/Reu01swYOQOAVmmtGHzMYB4b9Bhz
  181lSPchnNP1HH552i+58y3vE+/h9x9m+ghv9asdB3ZU+zWvtooOF5FXkMe0ZdO4YeYNXN7LW6d1
  R94OLnjpAnbdvYtt+7dx/Yzr+Wv/PmB9OVCQz6i3RvH6stfp1boXg7oN4qs9tbuOm8Nx37v3cXbn
  s2nWqBnJllzluMFhd5hdB3ZV+nxVGjZoWK4+65yjyBVRdLiIhg1KT7k9WHjQOwElTEpyCk0bNq3R
  sWtj/6H9Nf6wdJSWUJxz5B7KJSM1gxYtDA6lc/65iTXPLSU5Jap55eKfTs06lXzreWzQY3y8+eNa
  /11HSu2WSq9uvUoez3lmTqVtLXI0u1wDs2RgJd7A5hbgI2Ckc255WJtHgb3OuQfMrC1e8u7jnNsZ
  sS/n9ZqB+72esxvrSP5NMotvXswJbavvSVzzj2uYuqT86cq7795Ns0YVXCHBBx9u/JBTnz612nbD
  jx/Oq5+/WuFzI3uP5KXLX/IlntOfOZ2lW5dyXrfzmLZ8Gq9f8XrJh0qk3/z3Nzzy/iM1GmjKK8hj
  253baNKwScm2u966iwkfTKDHUT1YcVvpsEi/p/qxdtfaMh8o+/L3sfaOtTEdBCo8XEjL8S1JSa7k
  YplR2HnA+7V96qKnuPlfN3Nxj4sZ33c6PZ9pzbaxy2idrjV6JbbMDOdcheWGapN4aAeDgMconWL4
  iJndDDjn3JTQjJRn8XrsBjzsnHu5gv1UmMRryh4ofU/zfzyfvu36cuyfjqV9k/Yc1fioktF5gA5N
  OtCnbR/e/MGbR3ycf6/6Nxe9fFGN4wTYcdcOWjZuWat9hFu5fSX9pvQjryCPzCaZlS51umTrEn5/
  /u+58vgrj/gY/Z7qR5OGTVi7ay3ZXbKZeulULnjxgpKBsr8O+SuX9byM66Zfx6w1s9h1964yHxbn
  v3A+e/P30qJRi5q9yRrIL8rny91f8sXtX9R4H1v2baHD7ztwQpsTWLptKeC91xtm3sD2Uds5Kq2K
  K5SI1IGqknhUNXHn3CygR8S2p8LubweGRL6uKkn5LfjfrUeeUMP1a9+PhVsWAjBpwST6tu3Lhr0b
  yC/KZ/QZo8uMym/et5nN+zbz8tKXj7h+Pm/DvCqfb9ygMQcKK7+A5sKbFvqawAG6texGXkEeDZMb
  MmXIlErbJVkS2V2ya3SMFy97kXW713HhSxfywpIXOL3j6Tgcfdv1ZfHXi7lh5g2s37OeDXs3kPOj
  nHK9/ScufIIV21dUsve607Fpx1q9PjXZO6GnOIED3DDzBoBATnmV+i2qnrhvBwvriTd7IIuld8yj
  Y7Oa/8F9tu0zTniitAQz/PjhbNi7gT+c/wdOyTyF2/9zO9vztvPVnq9okNSANTvXcEanM2p0rLSU
  NLKaZvHgew9yWc/LSEtJ44UlLwCUJLVWaa0Y2HEgM1Z6tf3Waa35Ju+bOpvvbg9YubJGXXh92etc
  8doVgPczvnPgnUz4YAL7D+0nIzWDoT2GMvKEWq4rnED25e+j6SMV1/L33rO3THlJJBZq3RP3W4sW
  4FLzan1CQO82vbnztDuZOG8iAK8Me6XM848P9ncmwbpd63jwvQd5buhzmFlJEh/Wcxj7D+1n1c9W
  8ebqN0uSeHpqOt/kfVNnvbfvdvkuR7c4uvqGtTSs1zDm/3g+pz59asnP+NVhFdf+64PinnhF1BOX
  RBOXNfAKCuBg4QHSUtJqva8J500gPSWdtulVLPPlk64tulL06yKaNGxCRmpGSZ353rPuZdXPvLnF
  4e+pYXItF0yvxjvXvMNfhvylTo9RbEDWgFqNXwRJ8aDoO9e8w0/7/7TMc7rosSSauPxG5h9y5Bfl
  06iBP9O1Pr/1cz656RNf9lWd8D/iJy58guU/XV7m+QGZA0qSe/gUvLpgZglz1lh9kmRJzBgxg9Oy
  TuPhcx8u85zf84FFaivmSdw5KHAHSU1O9a1X07l55xotrF9bLRu35LhWx5XZ1jilMaMGjgKq/lou
  iW1IjyE0Tmlc8q2rmMopkmhinsSLisBS83wppSSq4mmNRYeL4hyJ+CH3UOmJxyqnSKKJ+W9kQQGk
  ph2o16ucFSfxgsN1cJl7EZEwMU/in3wC+UUHaNyg/ibx/h36M2PEDAoPV7qQo4iIL2KexM88E0ip
  3+WU5KRkhvQYQkGReuIiUrfiU+C7pS978uvHpdiq0qNVDzo06RDvMKSWJg2eFO8QRCoVl5N9AN9X
  /UpEL172IvmF+fEOQ2pJM1IkkcW8J355xYvt1UvNGzWnbUbdn4QkdWtE7xHc1v+2eIchUqGYJ/H9
  oSWnK7qOoEgiat6oOWOzx8Y7DJEKxS2Jn5Z1WqwPLVJjrdJafWuWHZBgiXkSz83zZmxMu3JarA8t
  IlLvxDyJ78vPI71BEy3nKSLig9j3xA/W7xN9RERiKfY18UP1+5R7EZFYinkSP1CQR3pq/T1bU0Qk
  lmKexA8nHyAtVT1xERE/xDyJ2/l3llzcWEREaif264l3/G+sDykiUm/FfO2UJuuu5qzzdsX6sCIi
  9VLMk3iqa8rgY06N9WFFROqlmJdTklMP6dqTIiI+iXkST0pREhcR8UvsZ6c0UBIXEfGLkriISIAp
  iYuIBFjsr7GZrCQuIuIXJXERkQCLfRJPUhIXEfFLzJO4U09cRMQ3sU/ipiQuIuKX2C9FqyQuIuKb
  qJK4mQ0ysxVmtsrM7q7g+TvNbJGZLTSzpWZWaGbNK9rX1sMrlMRFRHxSbRI3syRgEnA+cDww0syO
  C2/jnJvonDvJOdcPGA3kOOd2V7ZPJXEREX9E0xM/BVjtnFvvnCsAXgGGVtF+JPByVTtUEhcR8Uc0
  STwT2BD2eGNoWzlm1hgYBEyraodK4iIi/vB7YHMI8H5VpRSABkkxX8ZcRKReiiabbgI6hT3OCm2r
  yAiqKaW0/L+OPOoeBSA7O5vs7OwoQhAR+fbIyckhJycnqrbmnKu6gVkysBI4F9gCfASMdM4tj2jX
  DFgLZDnnDlSyL3fmo9fy3i+fiyo4EREBM8M5ZxU9V21P3DlXZGa3AXPwyi9PO+eWm9nN3tNuSqjp
  JcDsyhJ4yQGt4ZFFLyIilYqqOO2cmwX0iNj2VMTj54Hnq9tXsqkeLiLil9hfni0Oa26JiNRXsU/i
  lhzrQ4qI1FtxSOLqiYuI+CUO5RT1xEVE/BL7a2yqJy4i4puYZ9Rk1cRFRHwT+564ZqeIiPhGA5si
  IgGmKYYiIgGmk31ERAJMPXERkQBTTVxEJMDUExcRCTDVxEVEAkw9cRGRAFNNXEQkwNQTFxEJMPXE
  RUQCTElcRCTAtJ64iEiAqScuIhJgSuIiIgGmJC4iEmDKqCIiARaHa2xarA8pIlJvxeHybCIi4hf1
  xEVEAkw1cRGRAFNPXEQkwOJQE1cSFxHxSxx64rE+oohI/aVyiohIgGlgU0QkwNQTFxEJMJ3sIyIS
  YJqdIiISYFElcTMbZGYrzGyVmd1dSZtsM1tkZp+Z2btV7KumsYqISIQG1TUwsyRgEnAusBlYYGbT
  nXMrwto0AyYD5znnNplZq7oKWERESkXTEz8FWO2cW++cKwBeAYZGtLkKmOac2wTgnNte6QHVExcR
  8U00STwT2BD2eGNoW7juQEsze9fMFpjZDyvdm3K4iIhvqi2nHMF++gHnAOnAPDOb55xbE9lQA5si
  Iv6JJolvAjqFPc4KbQu3EdjunDsIHDSz94A+QLkknvPa37l/2WcAZGdnk52dXYOwRUTqr5ycHHJy
  cqJqa865qhuYJQMr8QY2twAfASOdc8vD2hwH/AkYBDQEPgSGO+eWRezL3f/31xl7xeVRvxkRkW87
  M8M5V2EZo9qeuHOuyMxuA+bg1dCfds4tN7ObvafdFOfcCjObDSwBioApkQm8mAY2RUT8E1VN3Dk3
  C+gRse2piMcTgYnV7Us5XETEP3FYAEtZXETEL1pPXEQkwLSKoYhIgGk9cRGRAIt5Ek9STVxExDfq
  iYuIBJhq4iIiARb7coqSuIiIb1ROEREJMJVTREQCTCf7iIgEmC6ULCISYLGviSuHi4j4Rj1xEZEA
  0xRDEZEAUzlFRCTAVE4REQkwTTEUEQkwnewjIhJgOu1eRCTANDtFRCTANLApIhJgGtgUEQkwDWyK
  iASYBjZFRAJMA5siIgGm0+5FRAJMs1NERAJMs1NERAJMPXERkQDTFEMRkQBTOUVEJMDUExcRCbA4
  1MRFRMQv6omLiASYTrsXEQmwqJK4mQ0ysxVmtsrM7q7g+bPNbLeZLQz9u6/SA6onLiLimwbVNTCz
  JGAScC6wGVhgZtOdcysimr7nnLs4iv2V29alSxfWr18fXcQJrnPnznz55ZfxDkNEviWqTeLAKcBq
  59x6ADN7BRgKRCbx6LrYFbRav349zrmoXp7oVPMXkViKppySCWwIe7wxtC3SaWa22Mz+bWa9KttZ
  VqaSnIiIX6LpiUfjE6CTcy7PzAYD/wS6V9TwuceeZm6ztwDIzs4mOzvbpxBEROqHnJwccnJyompr
  1ZUxzOxU4H7n3KDQ43sA55wbX8Vr1gEnO+d2Rmx3//vqfwzsODCyfb0qp9SX9yIiiSGUVyosY0RT
  TlkAHGNmnc0sFRgBzIg4QNuw+6fgfTjsRERE6lS15RTnXJGZ3QbMwUv6TzvnlpvZzd7TbgowzMxu
  AQqAA8DwyvanVQxFRPwT1Txx59ws51wP59yxzrlHQtueCiVwnHOTnXO9nXMnOecGOuc+rMugY23X
  rl1ceumlZGRk0LVrV15++eV4hyQiAvg3sBm1IE7Bu/XWW2nUqBHffPMNCxcu5MILL6Rv37707Nkz
  3qGJyLdctQObvh7MzM3fMJ8BWQMityfsYGBeXh4tWrRg2bJldOvWDYBrr72WzMxMxo0bV659Ir8X
  EQmm2g5sfqutWrWKlJSUkgQO0KdPHz7//PM4RiUi4glMOcWPKkxNOsi5ubk0bdq0zLamTZuyb9++
  2gckIlJLMU/iNRWvCkVGRgZ79+4ts23Pnj00adIkPgGJiITRhZKr0b17dwoLC/niiy9Ktn366acc
  f/zxcYxKRMSjmng10tLSuOyyy/j1r39NXl4e77//PjNnzuSHP/xhvEMTEdGVfaIxefJk8vLyaNOm
  DVdffTVPPvmkpheKSEKI+RTDjzd9zMkdTo7cXm+m5dWn9yIiiUFTDEVE6imVU0REAkw9cRGRANMU
  QxGRAFNPXEQkwFQTFxEJMJVTREQCTOUUEZEAUzlFRCTA1BOPwuTJk+nfvz+NGjXi+uuvj3c4IiIl
  Yr+eeABr4pmZmYwZM4bZs2dz4MCBeIcjIlIiMOuJx9Mll1wCwIIFC9i0aVOcoxERKaWauIhIgAWm
  J24P1D75u7FaXVBE6pfA1MSVgEVEylM5RUQkwDTFMApFRUUcPHiQoqIiCgsLyc/Pp6ioKN5hiYgo
  iUfjoYceIi0tjfHjx/Piiy+SlpbGb3/723iHJSIS+8uzLd6ymD7t+kRurzeXNKtP70VEEkNCXZ6t
  4HBBrA8pIlJvxTyJHyo6FOtDiojUW7HviRepJy4i4heVU0REAizmSTw9JT3WhxQRqbdiPjulouPV
  pxkd9elMKVZQAAAFj0lEQVS9iEhiqGp2SkKsndK5c+d6cyZn586d4x2CiHyLRNUTN7NBwB/xyi9P
  O+fGV9KuP/ABMNw590YFz1fYExcRkcrVap64mSUBk4DzgeOBkWZ2XCXtHgFm1y7cxJKTkxPvEI5Y
  0GIOWrygmGMhaPFCfGKOZmDzFGC1c269c64AeAUYWkG7nwGvA9t8jC/u9ItU94IWLyjmWAhavJC4
  STwT2BD2eGNoWwkz6wBc4px7AgJ4/TURkYDya4rhH4G7wx4rkYuIxEC1A5tmdipwv3NuUOjxPYAL
  H9w0s7XFd4FWwH7gJufcjIh9aVRTRKQGKhvYjCaJJwMrgXOBLcBHwEjn3PJK2j8LzKxodoqIiPir
  2nnizrkiM7sNmEPpFMPlZnaz97SbEvmSOohTREQqENMzNkVExF8xWzvFzAaZ2QozW2Vmd1f/irpn
  ZllmNtfMPjezpWZ2e2h7CzObY2YrzWy2mTULe81oM1ttZsvN7Lw4xZ1kZgvNbEZA4m1mZq+FYvjc
  zAYEIObRoViXmNmLZpaaaDGb2dNmttXMloRtO+IYzaxf6H2uMrM/xiHm34ViWmxm08ysaaLEXFG8
  Yc/9PzM7bGYt4xqvc67O/+F9WKwBOgMpwGLguFgcu5q42gF9Q/cz8Gr/xwHjgbtC2+8GHgnd7wUs
  witDdQm9J4tD3L8AXgBmhB4nerzPAdeF7jcAmiVyzKHf07VAaujxq8C1iRYzcAbQF1gStu2IYwQ+
  BPqH7r8JnB/jmL8HJIXuPwI8nCgxVxRvaHsWMAtYB7QMbesZj3hj1ROP9oShmHLOfe2cWxy6nwss
  x/vPGQo8H2r2PHBJ6P7FwCvOuULn3JfAarz3FjNmlgVcAPw1bHMix9sUONM59yxAKJY9iRwzsBc4
  BKSbWQOgMbCJBIvZOfc+sCti8xHFaGbtgCbOuQWhdn8Le01MYnbOve2cOxx6OB/vbzAhYq7kZwzw
  B2BUxLah8Yg3Vkm82hOG4s3MuuB94s4H2jrntoKX6IE2oWaR72MTsX8fxb884YMZiRxvV2C7mT0b
  KgFNMbM0Ejhm59wu4FHgq9Dx9zjn3iaBYw7T5ghjzMT7eywW77/N6/F6qpCgMZvZxcAG59zSiKfi
  Eq+udg+YWQbekgF3hHrkkaO9CTH6a2YXAltD3x6qOqEqIeINaQD0AyY75/rhnUNwDwn6MwYws6Px
  SladgQ54PfIfkMAxVyEIMQJgZvcCBc65l+MdS2XMrDHwK2BsvGMpFqskvgnoFPY4K7Qt7kJfl18H
  pjrnpoc2bzWztqHn21G6HswmoGPYy2P9Pk4HLjbv5KqXgXPMbCrwdYLGC16vY4Nz7uPQ42l4ST1R
  f8YA3wH+55zb6ZwrAv4BDCSxYy52pDEmROxm9iO8MuFVYZsTMeZuePXuT81sXejYC82sDZXnuTqN
  N1ZJfAFwjJl1NrNUYAQwo5rXxMozwDLn3GNh22YAPwrdvxaYHrZ9RGimQlfgGLyTn2LCOfcr51wn
  59zReD/Duc65HwIzEzHeUMxbgQ1m1j206VzgcxL0ZxyyEjjVzBqZmeHFvIzEjNko+63siGIMlVz2
  mNkpofd6TdhrYhKzeUtdjwIuds7lh7VLlJhL4nXOfeaca+ecO9o51xWvk3KSc25bKN7hMY+3LkZ0
  KxnlHYT3x7EauCdWx60mptOBIrzZMouAhaE4WwJvh+KdAzQPe81ovFHn5cB5cYz9bEpnpyR0vEAf
  vA/yxcAbeLNTEj3mUXgfNkvwBghTEi1m4CVgM5CPV7+/DmhxpDECJwNLQ3+bj8Uh5tXA+tDf30Lg
  z4kSc0XxRjy/ltDslHjFq5N9REQCTAObIiIBpiQuIhJgSuIiIgGmJC4iEmBK4iIiAaYkLiISYEri
  IiIBpiQuIhJg/x8BfgCfnnzDaQAAAABJRU5ErkJggg==
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f7965dfab10>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "source": [
      "pandas.DataFrame(zip([x[0] for x in data[\"ASR_AE_H1\"][0] ],[x[0] for x in data[\"ASR_AE_H1\"][1] ])).plot()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 53,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "histo=data[\"ASR_AE_H1\"][3]"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 69,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "data.close()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 61,
     "metadata": {
      "collapsed": true
     },
     "outputs": [],
     "source": [
      "corps=data=shelve.open(\"./models/DECODA_MINIAE_TANH.shelve\")"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 66,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "data": {
        "text/html": [
         "<div>
  ",
         "<table border=\"1\" class=\"dataframe\">
  ",
         "  <thead>
  ",
         "    <tr style=\"text-align: right;\">
  ",
         "      <th></th>
  ",
         "      <th>0</th>
  ",
         "      <th>1</th>
  ",
         "      <th>2</th>
  ",
         "      <th>3</th>
  ",
         "      <th>4</th>
  ",
         "      <th>5</th>
  ",
         "      <th>6</th>
  ",
         "      <th>7</th>
  ",
         "      <th>8</th>
  ",
         "      <th>9</th>
  ",
         "      <th>...</th>
  ",
         "      <th>40</th>
  ",
         "      <th>41</th>
  ",
         "      <th>42</th>
  ",
         "      <th>43</th>
  ",
         "      <th>44</th>
  ",
         "      <th>45</th>
  ",
         "      <th>46</th>
  ",
         "      <th>47</th>
  ",
         "      <th>48</th>
  ",
         "      <th>49</th>
  ",
         "    </tr>
  ",
         "  </thead>
  ",
         "  <tbody>
  ",
         "    <tr>
  ",
         "      <th>count</th>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>...</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "      <td>740.000000</td>
  ",
         "    </tr>
  ",
         "    <tr>
  ",
         "      <th>mean</th>
  ",
         "      <td>0.000490</td>
  ",
         "      <td>0.003229</td>
  ",
         "      <td>0.000185</td>
  ",
         "      <td>-0.003558</td>
  ",
         "      <td>-0.000550</td>
  ",
         "      <td>0.004855</td>
  ",
         "      <td>-0.000353</td>
  ",
         "      <td>-0.004828</td>
  ",
         "      <td>0.000823</td>
  ",
         "      <td>-0.004653</td>
  ",
         "      <td>...</td>
  ",
         "      <td>-0.002893</td>
  ",
         "      <td>0.001393</td>
  ",
         "      <td>0.000034</td>
  ",
         "      <td>-0.000325</td>
  ",
         "      <td>-0.000867</td>
  ",
         "      <td>-0.001082</td>
  ",
         "      <td>-0.004496</td>
  ",
         "      <td>-0.005450</td>
  ",
         "      <td>0.006736</td>
  ",
         "      <td>0.001526</td>
  ",
         "    </tr>
  ",
         "    <tr>
  ",
         "      <th>std</th>
  ",
         "      <td>0.078052</td>
  ",
         "      <td>0.076671</td>
  ",
         "      <td>0.080473</td>
  ",
         "      <td>0.080584</td>
  ",
         "      <td>0.080445</td>
  ",
         "      <td>0.083181</td>
  ",
         "      <td>0.080656</td>
  ",
         "      <td>0.080346</td>
  ",
         "      <td>0.078400</td>
  ",
         "      <td>0.084584</td>
  ",
         "      <td>...</td>
  ",
         "      <td>0.075171</td>
  ",
         "      <td>0.082434</td>
  ",
         "      <td>0.076875</td>
  ",
         "      <td>0.078159</td>
  ",
         "      <td>0.081996</td>
  ",
         "      <td>0.080196</td>
  ",
         "      <td>0.084964</td>
  ",
         "      <td>0.083766</td>
  ",
         "      <td>0.081879</td>
  ",
         "      <td>0.081213</td>
  ",
         "    </tr>
  ",
         "    <tr>
  ",
         "      <th>min</th>
  ",
         "      <td>-0.222832</td>
  ",
         "      <td>-0.210684</td>
  ",
         "      <td>-0.203158</td>
  ",
         "      <td>-0.220618</td>
  ",
         "      <td>-0.251787</td>
  ",
         "      <td>-0.245800</td>
  ",
         "      <td>-0.319214</td>
  ",
         "      <td>-0.257791</td>
  ",
         "      <td>-0.256614</td>
  ",
         "      <td>-0.269018</td>
  ",
         "      <td>...</td>
  ",
         "      <td>-0.205919</td>
  ",
         "      <td>-0.272927</td>
  ",
         "      <td>-0.216589</td>
  ",
         "      <td>-0.232542</td>
  ",
         "      <td>-0.239660</td>
  ",
         "      <td>-0.215522</td>
  ",
         "      <td>-0.237121</td>
  ",
         "      <td>-0.217695</td>
  ",
         "      <td>-0.253268</td>
  ",
         "      <td>-0.216798</td>
  ",
         "    </tr>
  ",
         "    <tr>
  ",
         "      <th>25%</th>
  ",
         "      <td>-0.049280</td>
  ",
         "      <td>-0.051630</td>
  ",
         "      <td>-0.055798</td>
  ",
         "      <td>-0.060583</td>
  ",
         "      <td>-0.053978</td>
  ",
         "      <td>-0.050834</td>
  ",
         "      <td>-0.055398</td>
  ",
         "      <td>-0.058382</td>
  ",
         "      <td>-0.045658</td>
  ",
         "      <td>-0.061431</td>
  ",
         "      <td>...</td>
  ",
         "      <td>-0.052172</td>
  ",
         "      <td>-0.051161</td>
  ",
         "      <td>-0.054269</td>
  ",
         "      <td>-0.053610</td>
  ",
         "      <td>-0.054938</td>
  ",
         "      <td>-0.056238</td>
  ",
         "      <td>-0.066248</td>
  ",
         "      <td>-0.068832</td>
  ",
         "      <td>-0.048655</td>
  ",
         "      <td>-0.054703</td>
  ",
         "    </tr>
  ",
         "    <tr>
  ",
         "      <th>50%</th>
  ",
         "      <td>-0.003148</td>
  ",
         "      <td>-0.002347</td>
  ",
         "      <td>0.003714</td>
  ",
         "      <td>-0.000112</td>
  ",
         "      <td>-0.003216</td>
  ",
         "      <td>0.007316</td>
  ",
         "      <td>-0.000941</td>
  ",
         "      <td>-0.004883</td>
  ",
         "      <td>0.007292</td>
  ",
         "      <td>-0.004308</td>
  ",
         "      <td>...</td>
  ",
         "      <td>-0.004255</td>
  ",
         "      <td>0.000609</td>
  ",
         "      <td>-0.001102</td>
  ",
         "      <td>-0.001316</td>
  ",
         "      <td>-0.002811</td>
  ",
         "      <td>0.000356</td>
  ",
         "      <td>-0.000773</td>
  ",
         "      <td>-0.008352</td>
  ",
         "      <td>0.006316</td>
  ",
         "      <td>-0.005236</td>
  ",
         "    </tr>
  ",
         "    <tr>
  ",
         "      <th>75%</th>
  ",
         "      <td>0.053316</td>
  ",
         "      <td>0.051167</td>
  ",
         "      <td>0.051243</td>
  ",
         "      <td>0.054151</td>
  ",
         "      <td>0.044473</td>
  ",
         "      <td>0.058679</td>
  ",
         "      <td>0.054497</td>
  ",
         "      <td>0.044757</td>
  ",
         "      <td>0.052775</td>
  ",
         "      <td>0.050786</td>
  ",
         "      <td>...</td>
  ",
         "      <td>0.044183</td>
  ",
         "      <td>0.056505</td>
  ",
         "      <td>0.054361</td>
  ",
         "      <td>0.052624</td>
  ",
         "      <td>0.049942</td>
  ",
         "      <td>0.053420</td>
  ",
         "      <td>0.056256</td>
  ",
         "      <td>0.049547</td>
  ",
         "      <td>0.060626</td>
  ",
         "      <td>0.050734</td>
  ",
         "    </tr>
  ",
         "    <tr>
  ",
         "      <th>max</th>
  ",
         "      <td>0.202271</td>
  ",
         "      <td>0.241509</td>
  ",
         "      <td>0.310983</td>
  ",
         "      <td>0.215986</td>
  ",
         "      <td>0.279413</td>
  ",
         "      <td>0.259838</td>
  ",
         "      <td>0.224492</td>
  ",
         "      <td>0.234719</td>
  ",
         "      <td>0.283880</td>
  ",
         "      <td>0.251888</td>
  ",
         "      <td>...</td>
  ",
         "      <td>0.229372</td>
  ",
         "      <td>0.252486</td>
  ",
         "      <td>0.237473</td>
  ",
         "      <td>0.236919</td>
  ",
         "      <td>0.300617</td>
  ",
         "      <td>0.227033</td>
  ",
         "      <td>0.250967</td>
  ",
         "      <td>0.276590</td>
  ",
         "      <td>0.261683</td>
  ",
         "      <td>0.316733</td>
  ",
         "    </tr>
  ",
         "  </tbody>
  ",
         "</table>
  ",
         "<p>8 rows × 50 columns</p>
  ",
         "</div>"
        ],
        "text/plain": [
         "               0           1           2           3           4           5   \\
  ",
         "count  740.000000  740.000000  740.000000  740.000000  740.000000  740.000000   
  ",
         "mean     0.000490    0.003229    0.000185   -0.003558   -0.000550    0.004855   
  ",
         "std      0.078052    0.076671    0.080473    0.080584    0.080445    0.083181   
  ",
         "min     -0.222832   -0.210684   -0.203158   -0.220618   -0.251787   -0.245800   
  ",
         "25%     -0.049280   -0.051630   -0.055798   -0.060583   -0.053978   -0.050834   
  ",
         "50%     -0.003148   -0.002347    0.003714   -0.000112   -0.003216    0.007316   
  ",
         "75%      0.053316    0.051167    0.051243    0.054151    0.044473    0.058679   
  ",
         "max      0.202271    0.241509    0.310983    0.215986    0.279413    0.259838   
  ",
         "
  ",
         "               6           7           8           9      ...              40  \\
  ",
         "count  740.000000  740.000000  740.000000  740.000000     ...      740.000000   
  ",
         "mean    -0.000353   -0.004828    0.000823   -0.004653     ...       -0.002893   
  ",
         "std      0.080656    0.080346    0.078400    0.084584     ...        0.075171   
  ",
         "min     -0.319214   -0.257791   -0.256614   -0.269018     ...       -0.205919   
  ",
         "25%     -0.055398   -0.058382   -0.045658   -0.061431     ...       -0.052172   
  ",
         "50%     -0.000941   -0.004883    0.007292   -0.004308     ...       -0.004255   
  ",
         "75%      0.054497    0.044757    0.052775    0.050786     ...        0.044183   
  ",
         "max      0.224492    0.234719    0.283880    0.251888     ...        0.229372   
  ",
         "
  ",
         "               41          42          43          44          45          46  \\
  ",
         "count  740.000000  740.000000  740.000000  740.000000  740.000000  740.000000   
  ",
         "mean     0.001393    0.000034   -0.000325   -0.000867   -0.001082   -0.004496   
  ",
         "std      0.082434    0.076875    0.078159    0.081996    0.080196    0.084964   
  ",
         "min     -0.272927   -0.216589   -0.232542   -0.239660   -0.215522   -0.237121   
  ",
         "25%     -0.051161   -0.054269   -0.053610   -0.054938   -0.056238   -0.066248   
  ",
         "50%      0.000609   -0.001102   -0.001316   -0.002811    0.000356   -0.000773   
  ",
         "75%      0.056505    0.054361    0.052624    0.049942    0.053420    0.056256   
  ",
         "max      0.252486    0.237473    0.236919    0.300617    0.227033    0.250967   
  ",
         "
  ",
         "               47          48          49  
  ",
         "count  740.000000  740.000000  740.000000  
  ",
         "mean    -0.005450    0.006736    0.001526  
  ",
         "std      0.083766    0.081879    0.081213  
  ",
         "min     -0.217695   -0.253268   -0.216798  
  ",
         "25%     -0.068832   -0.048655   -0.054703  
  ",
         "50%     -0.008352    0.006316   -0.005236  
  ",
         "75%      0.049547    0.060626    0.050734  
  ",
         "max      0.276590    0.261683    0.316733  
  ",
         "
  ",
         "[8 rows x 50 columns]"
        ]
       },
       "execution_count": 66,
       "metadata": {},
       "output_type": "execute_result"
      }
     ],
     "source": [
      "pandas.DataFrame(corps[\"ASR_AE_H1\"][\"TRAIN\"]).describe()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 83,
     "metadata": {
      "collapsed": true
     },
     "outputs": [],
     "source": [
      "corps.close()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 84,
     "metadata": {
      "collapsed": false,
      "scrolled": false
     },
     "outputs": [
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAJZCAYAAACTE4A9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3X2UJXV97/vPFwYVFQgK9ug8oaIIxERMJDmSHGfEq0JU
  PNEo6hEVEI0x4UYjAlknkuO9Kt64EuPTQkRDjIpIjKDLIBEYTzCJoKBieDQ4zDA6DYoBXWBkmN/9
  o/Y4PQ8wDdP969nM67VWL2rXrqr921O76XdX1d5drbUAADC7dprrAQAA7AhEFwBAB6ILAKAD0QUA
  0IHoAgDoQHQBAHQguoDuquq3qur6qrq9qg6f6/Fsz6rq41X1Z3M9DmDbiS7YQVTVT0aRc3tV3V1V
  d0yZ97LOw/l/kryntbZ7a+2LnR87VXVTVa2uqodMmfe6qvqn0fTOVbVuyr/P+v/+3/fxcQQT8Avz
  5noAQB+ttd3WT1fVDUmOaa1dfE/LV9XOrbW7Z2k4S5JcdX9WnKFxtSQPTvKHSf6/TeZPnT6gtbZq
  Gx/rfqsqvxjDA4hvaNgx1ehrw4yqt1fVWVX1yaq6Lckrquo3q+pfq+rHoyND762qnUfLrz8adNzo
  VOGPquq9U7b3hKr6SlX9Z1XdXFV/N5r/vSSLkpw/OnpUVbWgqj4/2sa1VfWarYzr7VX1qdG8n1TV
  FVX1+Kr609Fjfa+qlm3l3+DdSd5SVQ+f7r/RaDy7VtWdVbXH6PbbqurnVbXr6PY7qurdVfX7SV6a
  5OTR8/z70f0HVtXy0b/pt6aeXh0dGXt/Vf1jVf0kyW9t8ti7j/5N37OV5wZsh0QXMNULk/xda22P
  JJ9OcleSP0ryiCSHJHlOktdtss5hSQ5K8tQk/7Oqnjma//8m+UJr7ZeSLEzygSRprT02yQ+SPGd0
  erGNHus/ksxPcmSSd1fVb9/LuJLkBUlOT7JHhqNmF47GOz/JqUlO28pz/VqSf0ny5q3/s2zQWrsz
  yTeS/PfRrP+e5MYkTx/dfkaS5a21D43G+o7R83xRVe2S5POjr72SvCnJp6vqcVMe4mVJ3jY6Mvlv
  62dW1SOTXJTky621+zRmYPsguoCpLll/jVVr7b9aa99orV3WBisyRM4zNlnnHa21n7bWbkyyPMlT
  RvPvSrJPVT2mtfbz1tq/brJeJUlV7ZPkaUlObK3d1Vq7IsnHkrzynsY1mre8tXZxa21dks8k2aO1
  9u7R7bOSPL6qHrqV5/tnSY6vql+6h/u/XVW3jo5K3Trl6Nn/SfKMqpqX5IAk7x/d3jVDfF5yD9s7
  JMkurbX3tNbubq1dmOQfM4Tmev/QWrt09Fx/Ppq3aPSYf9tae/tWnhOwnRJdwFQbXb9UVftV1Req
  6gejU3t/nuEIzVSTU6bvSLL+dN2bkjwoyddHp9GOuofHfEySH7bWfjZl3o1JFtzTuLbwuHcmuWWT
  2zVlLFvUWvt2ki8lOfEeFnlya+0RrbU9R/9dfw3cV5IsyxCLl2c4yrY0w9Guq1prt9/D9h6TZOUm
  86bzXJ+fZOckH7m35wNs30QXMFXb5PZpSa5M8rjRqb23ZQvXOW1xQ61NttZe21p7TJI3JvlwVS3Z
  wqLfT7LX+muiRhYnWX0v45rWEKa53ClJfj/DaclN3dNz/WqSAzOc4vxKa+07SR6f5LkZguyexvD9
  DEetpprOc/1QkouTfHHqOy6B8SK6gHuzW5LbWmt3VtX+2fx6rntUVb9XVY8Z3bwtybokm73rcHTa
  8utJ3lFVD6qqpyR5TZKPb+PYpxuH1yb5+wzvZJyW1tpPk3wrQ6ytj6yvJTkuG0fXZJKp12v9S5K1
  VfWmqpo3uv7tsAynQ7fykO33k9yQ5PNV9eDpjhXYfogu2DFN9yjQm5O8uqpuz3C0ZdM42HQ7U2//
  RpLLRu/COyfJG1prN93Dei9N8sQka5KcneH6rn+e5hjvyb09x03v+/MMpyI3/ciIf9/kc7qmfrzE
  VzL8P/TrU24/LMnUcX8kyVNG78o8e3SN1vMzvDHgh0n+KsnLWms33MuYp847JkPIfXZ0UT4wRmp4
  49BWFqpakQ2/qd7VWju4qvbM8M6cJUlWJHlJa+220fInJTk6ydokx7fWLpiV0QMAjInpHulal2Rp
  a+2g1trBo3knZnjr8n4Z3sZ8UpJU1QFJXpJk/wyHzT9YVdM6zA8A8EA13eiqLSx7RJIzR9NnZjhc
  ngwXlp7VWls7ulbj+iQHBwBgBzbd6GpJ/qmqLquqY0fzJlprk0nSWluT5FGj+Quy8VueV2fjt0MD
  AOxwpvu3Fw9prf2gqvZOckFVXZt7v4AWAIApphVdrbUfjP57S1V9LsPpwsmqmmitTVbV/CQ3jxZf
  nY0/h2ZhNv4MmiRJVYk0AGBstNa26Rr1rZ5erKqHrv+DsFX1sCTPzvBhieclefVosVclOXc0fV6S
  I0eft/PYJPsmufQeBu9rTL/e9ra3zfkYfNl/O+KXfTfeX/bf+H7NhOkc6ZpI8g+jI1PzknyitXZB
  VX09ydlVdXSGP2PxklFIXVVVZ2f4A7R3ZfhsHke1AIAd2lajq7X2vWz4A7ZT59+a5Fn3sM47k7xz
  m0cHAPAA4RPpuV+WLl0610NgG9h/48u+G2/2345tWp9IPysPXOWsIwAwFqoqbbYvpAcAYNuJLgCA
  DkQXAEAHogsAoAPRBQDQgegCAOhAdAEAdCC6AAA6EF0AAB2ILgCADkQXAEAHogsAoAPRBQDQgegC
  AOhAdAEAdCC6AAA6EF0AAB2ILgCADkQXAEAHogsAoAPRBQDQgegCAOhAdAEAdCC6AAA6EF0AAB2I
  LgCADkQXAEAH8+Z6ANMxf/4+mZy8ca6Hwf00MbEka9asmOthADuwxYvnZ9WqybkeBvfTokUTWbly
  zVwPY5tVa21uHriqTfexqyrJ3IyTmVCZq9cZQDL8HLn44rkeBffXsmWZ858jVZXWWm3LNpxeBADo
  QHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4A
  gA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHo
  AgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAd
  iC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA
  0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBd
  AAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD
  0QUA0MG0o6uqdqqqy6vqvNHtPavqgqq6tqq+VFV7TFn2pKq6vqqurqpnz8bAAQDGyX050nV8kqum
  3D4xyZdba/sluSjJSUlSVQckeUmS/ZMcluSDVVUzM1wAgPE0reiqqoVJDk/ykSmzj0hy5mj6zCQv
  HE2/IMlZrbW1rbUVSa5PcvCMjBYAYExN90jXXyZ5S5I2Zd5Ea20ySVpra5I8ajR/QZJVU5ZbPZoH
  ALDDmre1Barqd5JMtta+WVVL72XRdi/3bdEpp5zyi+mlS5dm6dJ72zwAQB/Lly/P8uXLZ3Sb1dq9
  t1JVvSPJ/0yyNsmuSXZL8g9Jfj3J0tbaZFXNT3Jxa23/qjoxSWutnTpa//wkb2utfW2T7batPfaU
  ZXM/mo7tRmW6+xpgNlRVLr54rkfB/bVsWeb850hVpbW2Tdeob/X0Ymvt5Nba4tba45IcmeSi1tor
  k3w+yatHi70qybmj6fOSHFlVD6qqxybZN8ml2zJIAIBxt9XTi/fiXUnOrqqjk9yY4R2Laa1dVVVn
  Z3in411J3jDtQ1oAAA9QWz29OGsP7PTiDsTpRWBuOb043naY04sAAGw70QUA0IHoAgDoQHQBAHQg
  ugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBA
  B6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhir6HrOc5Krr06uvTY54YTN73/EI5IvfjG54ork299O
  XvWqra/7ohclV16ZrF2bHHTQ7D8HgO3Z+d89P096/5PyxPc9Madecupm9//Fv/xFDjrtoDz1tKfm
  yR96cub973n5z5/9Z5Lktp/dlt/7zO9l/w/snwM/eGC+dtPXkiTnXHVOfvmDv5yd//fOufwHl3d9
  Ppu69NLkqKOSV74y+dSnNr//ttuSt741OfbY5Oijk/PP33Dfu9+d/O7vJsccs/E6H/3oMO/YY5M3
  vzm55ZbZfQ6Mr2qtzc0DV7XpPnZVparluuuSQw9Nvv/95LLLkiOPHCJqvT/7s+QhD0lOPjl55COH
  +yYmknXrco/rPvGJw/2nnZb8yZ8MwcZMq8zV6wyYvnVtXZ74vifmwqMuzGN2e0yedvrTctaLz8qT
  9nrSFpf/wnVfyF/921/ly0d9OUny6s+9Os9Y8oy85qDXZO26tbnjrjuy+4N3z7U/vDY71U553Rde
  l7949l/kqY9+as+nlWT4OXLhhUNsvec9yV57Ja9//fBzY/HiDcudeWby858nr33tEGBHHZV89rPJ
  zjsPv6DvumvyzncmZ5yxYZ077xzmJ8Oy//EfyVve0vf5PdAtW5Y5/zlSVWmt1bZsY2yOdB18cHL9
  9cnKlcNRqbPOSo44YuNl1qxJdtttmN5tt+RHP0ruvvve173uuuS7301qm/4ZAcbfpasvzRMe+YQs
  +aUl2WXnXXLkLx+Zc6859x6X/9R3PpWX/fLLkiS3/9ft+eeV/5zXHPSaJMm8neZl9wfvniTZb6/9
  8oRHPiEtc/tD85prkoULk/nzk3nzkmc+M/nqVzdeZs89kzvuGKbvuCPZffchuJLkyU9OHv7wzbe7
  PriS5Gc/S/bYY3bGz/gbm+hasCBZtWrD7ZtuGuZNdfrpyYEHJqtXJ9/6VnL88dNfF2BHt/r21Vm0
  +6Jf3F64+8Ks/snqLS5751135vzvnp8XHfCiJMn3fvy97PXQvfKac1+Tp5721Bz3+eNy5113dhn3
  dN1yS7L33htu77335qcCn/e8ZMWK5MUvHk4XvvGN09v2GWckL33pcDry5S+fsSHzADM20TUdJ500
  xNaCBcP1WR/4QPKwh831qAAeeD5/3efzW4t/K7/0kF9KkqxdtzaX/+Dy/MHT/iCXv+7yPHSXh+Zd
  l7xrjkd5333yk8njH5+cc07y4Q8n733vcPpwa445Jvn0p5PDDht+9sCWjE10rV698Xn3hQuHeVMd
  ckjymc8M0zfckHzve8mTnjS9dQF2dAt2X5CVt638xe2bbr8pC3bb8mmBs75z1i9OLSbDUbFFuy/K
  rz/m15MkLz7gxbl8zdxeNL+pvfdObr55w+1Nj3wlyXe+kzzjGcP0ggXDqciVKzNthx668bXGMNXY
  RNdllyX77jvE0y67DBfCn3fexstcfXXyrGcN04961HCR/A03TG/dxHVdwI7taY95Wr5763dz43/e
  mJ/f/fOc9Z2z8oL9XrDZcrf97LZ85cav5Ij9NlxYO/HwiSzaY1Gu+9F1SZILb7gwB+x1wGbrzuXF
  0PvtN/zCvWZNctddyUUXJU9/+sbLLF6cXD5qxVtvHS5HefSjN15m06cw9Zf4Sy4Zft7Alsyb6wFM
  17p1w7n1Cy5IdtppOH9+zTXJcccN3wCnnz68o+RjH0u++c0hoE44Ifnxj4f1t7RuMlxQ/773De9k
  +cIXhnUPP3zunifAXNl5p53z/sPfn2f/3bOzrq3LMQcdk/333j+nff20VFWO+7XjkiSfu+Zzec7j
  n5Ndd9l1o/X/+rl/nVd89hW56+678rg9H5ePHfGxXyz/h//4h/nhHT/M8z71vDxl/lPyj6/4x/7P
  b+fhWt8TThh+phx+eLJkyfBLeFXy/Ocnr3hFcuqpGz4W4nWvGy6mT5K3v324hOX224frt1796uF0
  4oc/PMTZTjsNgfbHf9z9qTEmxuIjI+bP3yeTkzfO8oiYLRMTS7JmzYq5HgawA1u8eH5WrZqc62Fw
  Py1aNJGVK9fM6Rhm4iMjxiK6AADm0g71OV0AAONMdAEAdCC6AAA6EF0AAB2ILgCADkQXAEAHogsA
  oAPRBQDQgegCAOhAdAEAdCC6AAA6EF0AAB2ILgCADkQXAEAHogsAoAPRBQDQgegCAOhAdAEAdCC6
  AAA6EF0AAB3Mm+sBTMf8+ftkcvLGuR4G99PExJKsWbNixrc7f+H8TK6enPHt0sfEgomsuWnNjG/X
  62K8zdbrYvHi+Vm1yutiXC1aNJGVK2f+ddFbtdbm5oGr2nQfu6qSzM04mQmV2XidVVVyyoxvll5O
  idcFmztl9l4XF18845ulk2XLZud1cV9UVVprtS3bcHoRAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBd
  AAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD
  0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAA
  OhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6IL
  AKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKCDrUZXVT24qr5WVVdU1b9X
  1TtG8/esqguq6tqq+lJV7TFlnZOq6vqqurqqnj2bTwAAYBxsNbpaa/+VZFlr7aAkv5LkmVV1SJIT
  k3y5tbZfkouSnJQkVXVAkpck2T/JYUk+WFU1S+MHABgL0zq92Fq7YzT54NE6P05yRJIzR/PPTPLC
  0fQLkpzVWlvbWluR5PokB8/UgAEAxtG0oquqdqqqK5KsSbK8tXZVkonW2mSStNbWJHnUaPEFSVZN
  WX31aB4AwA5r3nQWaq2tS3JQVe2e5EtVtTRJ23SxGR4bAMADxrSia73W2u1V9cUkv55ksqomWmuT
  VTU/yc2jxVYnWTRltYWjeZs55ZRTfjG9dOnSLF269L4MBwBgVixfvjzLly+f0W1Wa/d+gKqq9kpy
  V2vttqraNcmXkvx5kmcnubW1dmpVvTXJnq21E0cX0n8iyW9kOK34T0me0DZ5oKradNa9jSEOpI2z
  ynT39X3aalVyyoxvll5OidcFmztl9l4XF18845ulk2XLZud1cV9UVVpr2/TGwOkc6Xp0kjNH70Dc
  KcnHW2sXjq7xOruqjk5yY4Z3LKa1dlVVnZ3kqiR3JXnDtOsKAOABaqvR1Vq7MslTtzD/1iTPuod1
  3pnknds8OgCABwifSA8A0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHo
  AgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAd
  iC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA
  0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBd
  AAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOpg31wOYjomJJZmcrLkeBvfTxMSS
  2dnugolMnjI5K9tm9k0smJi17XpdjK/Zel0sWjSRZcu8LsbVokWz87rorVprc/PAVW2uHhsA4L6o
  qrTWtukIkNOLAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5E
  FwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKCDeXM9gOmYP3+f
  TE7eONfD4H6amFiSNWtWzPh295k/PzdOTs74duljycREVqxZM+Pb9boYb7P1uli8eH5WrfK6GFeL
  Fk1k5cqZf130Vq21uXngqjbdx66qJHMzTmZCZTZeZ1XlVTHGKvG6YDOz+bq4+OIZ3yydLFs2O6+L
  +6Kq0lqrbdmG04sAAB2ILgCADkQXAEAHogsAoAPRBQDQgegCAOhAdAEAdCC6AAA6EF0AAB2ILgCA
  DkQXAEAHogsAoAPRBQDQgegCAOhAdAEAdCC6AAA6EF0AAB2ILgCADkQXAEAHogsAoAPRBQDQgegC
  AOhAdAEAdCC6AAA6EF0AAB2ILgCADkQXAEAHW42uqlpYVRdV1b9X1ZVV9Uej+XtW1QVVdW1Vfamq
  9piyzklVdX1VXV1Vz57NJwAAMA6mc6RrbZI3tdYOTPLfkvxBVT0pyYlJvtxa2y/JRUlOSpKqOiDJ
  S5Lsn+SwJB+sqpqNwQMAjIutRldrbU1r7Zuj6Z8muTrJwiRHJDlztNiZSV44mn5BkrNaa2tbayuS
  XJ/k4BkeNwDAWLlP13RV1T5JnpLk35JMtNYmkyHMkjxqtNiCJKumrLZ6NA8AYIc17eiqqocnOSfJ
  8aMjXm2TRTa9DQDAyLzpLFRV8zIE18dba+eOZk9W1URrbbKq5ie5eTR/dZJFU1ZfOJq3mVNOOeUX
  00uXLs3SpUvv0+ABAGbD8uXLs3z58hndZrW29QNUVfW3SX7YWnvTlHmnJrm1tXZqVb01yZ6ttRNH
  F9J/IslvZDit+E9JntA2eaCq2nTWvT1+HEgbZ5Xp7uv7tNUqr4oxVonXBZuZzdfFxRfP+GbpZNmy
  2Xld3BdVldbaNr0xcKtHuqrqkCSvSHJlVV2RoX5OTnJqkrOr6ugkN2Z4x2Jaa1dV1dlJrkpyV5I3
  TLuuAAAeoKZ1pGtWHtiRrh2II11szpEutsSRLrbkgXKkyyfSAwB0ILoAADoQXQAAHYguAIAORBcA
  QAeiCwCgA9EFANCB6AIA6EB0AQB0ILoAADoQXQAAHYguAIAORBcAQAeiCwCgA9EFANCB6AIA6EB0
  AQB0ILoAADoQXQAAHYguAIAORBcAQAeiCwCgA9EFANCB6AIA6EB0AQB0ILoAADoQXQAAHYguAIAO
  RBcAQAeiCwCgA9EFANCB6AIA6EB0AQB0ILoAADoQXQAAHYguAIAORBcAQAeiCwCgA9EFANCB6AIA
  6EB0AQB0ILoAADoQXQAAHYguAIAORBcAQAeiCwCgA9EFANCB6AIA6EB0AQB0ILoAADoQXQAAHYgu
  AIAORBcAQAeiCwCgA9EFANCB6AIA6EB0AQB0ILoAADoQXQAAHYguAIAORBcAQAeiCwCgA9EFANCB
  6AIA6EB0AQB0ILoAADoYq+h6znOSq69Orr02OeGEze9/xCOSL34xueKK5NvfTl71qq2v+6IXJVde
  maxdmxx00Ow/B2be+UmelOSJSU7dwv0/SnJYkqckeXKSvxnNvynJM5McOJr/15us974k+4/uO3Gm
  Bw3MiUsvTY46KnnlK5NPfWrz+2+7LXnrW5Njj02OPjo5//wN97373cnv/m5yzDEbr/PRjw7zjj02
  efObk1tumd3nwPiq1trcPHBVm+5jV1WqWq67Ljn00OT7308uuyw58sghotb7sz9LHvKQ5OSTk0c+
  crhvYiJZty73uO4Tnzjcf9ppyZ/8yRBszLTKbLzOqip3Z4itC5M8JsnTkpyVIcLW+/MkP0vyziQ/
  TLJfksnR9JoMMfbTJL+W5NzRusuTvCPJF5PMGy2714w/gx1bJbP2upib/6sxE2bzdXHhhUNsvec9
  yV57Ja9//fBzY/HiDcudeWby858nr33tEGBHHZV89rPJzjsPv6DvumvyzncmZ5yxYZ077xzmJ8Oy
  //EfyVveMuNPYYe2bNnsvC7ui6pKa622ZRtjc6Tr4IOT669PVq4cjkqddVZyxBEbL7NmTbLbbsP0
  brslP/pRcvfd977uddcl3/1uUtv0z8hcuTTJE5IsSbJLkiMzhNNU85P8ZDT9kySPzBBS8zMEV5I8
  PMNRrdWj2x/KcHRr3ui24ILxd801ycKFyfz5ybx5yTOfmXz1qxsvs+eeyR13DNN33JHsvvsQXEny
  5CcnD3/45ttdH1xJ8rOfJXvsMTvjZ/yNTXQtWJCsWrXh9k03DfOmOv305MADk9Wrk299Kzn++Omv
  y3hanWTRlNsLsyGc1nttkn/PcCTsV5O8dwvbWZHkm0l+Y3T7uiT/J8lvJlmW5OszNmJgrtxyS7L3
  3htu77335qcCn/e8ZMWK5MUvHk4XvvGN09v2GWckL33pcDry5S+fsSHzADM20TUdJ500xNaCBcP1
  WR/4QPKwh831qJhr78wQW99PckWSP8hwOnG9nyZ5cYYYW/9L7NokP07yb0neneQlvQYLzKlPfjJ5
  /OOTc85JPvzh5L3vHU4fbs0xxySf/nRy2GHDzx7YkrGJrtWrNz7vvnDhMG+qQw5JPvOZYfqGG5Lv
  fS950pOmty7jaUGSlVNu3zSaN9VXk/zeaPrxSR6b5JrR7bUZguuVSaaerV6U5HdH00/L8I3yoxkb
  NTAX9t47ufnmDbc3PfKVJN/5TvKMZwzTCxYMpyJXrsy0HXroxtcaw1RjE12XXZbsu+8QT7vsMlwI
  f955Gy9z9dXJs541TD/qUcNF8jfcML11E9d1jaOnJflukhuT/DzDRfQv2GSZ/ZN8eTQ9meHU4eNG
  t49OckCS4zdZ54VJLhpNX5fkrgzXggHja7/9hl+416xJ7rorueii5OlP33iZxYuTyy8fpm+9dbgc
  5dGP3niZTa/nnvpL/CWXDD9vYEvmbX2R7cO6dcO59QsuSHbaaTh/fs01yXHHDd8Ap58+vKPkYx9L
  vvnNIaBOOCH58Y+H9be0bjJcUP++9w3vZPnCF4Z1Dz987p4n983OSd6f5NlJ1iU5JkNknZbhXVDH
  JTkpyWsoTOMnAAAM6klEQVQynGJsGU4XPiLDEbBPZPhIiINGy78jyXNHyx89uu/BSf621xMCZs3O
  Ow/X+p5wwvAz5fDDkyVLhl/Cq5LnPz95xSuSU0/d8LEQr3vdcDF9krz97cMlLLffPly/9epXD6cT
  P/zhIc522mkItD/+4zl7imznxuIjI+bP3yeTkzfO8oiYLRMTS7JmzYoZ3+4+8+fnxsnJGd8ufSyZ
  mMiKNWtmfLteF+Nttl4XixfPz6pVXhfjatGiiaxcOfOvi/tiJj4yYiyiCwBgLu1Qn9MFADDORBcA
  QAeiCwCgA9EFANCB6AIA6EB0AQB0ILoAADoQXQAAHYguAIAORBcAQAeiCwCgA9EFANCB6AIA6EB0
  AQB0ILoAADoQXQAAHYguAIAORBcAQAeiCwCgA9EFANDBvLkewHTMn79PJidvnOthcD9NTCzJmjUr
  5noYwA5s8eL5WbVqcq6Hwf20aNFEVq5cM9fD2GbVWpubB65q033sqkoyN+NkJlTm6nUGkAw/Ry6+
  eK5Hwf21bFnm/OdIVaW1VtuyDacXAQA6EF0AAB2ILgCADkQXAEAHogsAoIOtRldVnVFVk1X17Snz
  9qyqC6rq2qr6UlXtMeW+k6rq+qq6uqqePVsDBwAYJ9M50vWxJM/ZZN6JSb7cWtsvyUVJTkqSqjog
  yUuS7J/ksCQfrOHzHgAAdmhbja7W2iVJfrzJ7COSnDmaPjPJC0fTL0hyVmttbWttRZLrkxw8M0MF
  ABhf9/earke11iaTpLW2JsmjRvMXJFk1ZbnVo3kAADu0mfozQPfrY2JPOeWUX0wvXbo0S5cunaHh
  AADcf8uXL8/y5ctndJvT+jNAVbUkyedba78yun11kqWttcmqmp/k4tba/lV1YpLWWjt1tNz5Sd7W
  WvvaFrbpzwDtMPwZIGBu+TNA421H+zNANfpa77wkrx5NvyrJuVPmH1lVD6qqxybZN8ml2zJAAIAH
  gq2eXqyqTyZZmuSRVbUyyduSvCvJZ6rq6CQ3ZnjHYlprV1XV2UmuSnJXkjdM+3AWAMAD2LROL87K
  Azu9uANxehGYW04vjrcd7fQiAADbQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHo
  AgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAd
  iC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA
  0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBd
  AAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD
  0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAA
  OhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6IL
  AKAD0QUA0IHoAgDoQHQBAHQgugAAOhBdAAAdiC4AgA5EFwBAB6ILAKAD0QUA0MFYRddznpNcfXVy
  7bXJCSdsfv+b35xcfnnyjW8k3/52ctddyR57DPftvnty9tnJVVcl3/lOcvDBw/wXvSi58spk7drk
  oIP6PRcA+rv00uSoo5JXvjL51Kc2v/+225K3vjU59tjk6KOT88/f+P5165Ljjkv+9E83zPvKV5LX
  vCY59NDkuutmd/yMt7GJrqrk/e8fwuvAA5OXvSzZb7+Nl3nPe5KnPjX5tV9LTjopWb58+AZKkve+
  N/niF5MDDkh+9VeHeEuG4Pof/2P4pgHggWvduuFnwbvfnXzsY8mFFyYrV268zOc+l+y7b/KRjyR/
  +ZfJhz6U3H33hvv//u+TJUs2Xuexj03e/vbhZwvcm7GJroMPTq6/fvgGWbs2Oeus5Igj7nn5l71s
  w28xu+2W/PZvJ3/zN8Ptu+9OfvKTYfq665LvfneIOgAeuK65Jlm4MJk/P5k3L3nmM5OvfnXjZfbc
  M7njjmH6jjuGsyQ77zzcvuWW5GtfS37ndzZeZ/HiYbutzf5zYLyNTXQtWJCsWrXh9k03DfO25CEP
  SZ773OE3kmT4LeSHP0w++tHh1ONppw3LALDjuOWWZO+9N9zee+9h3lTPe16yYkXy4hcPpxjf+MYN
  933gA8nrX99lqDxAjU103RfPf35yySUbTi3OmzecdvzAB4ZTj3fckZx44tyOEYDtzyc/mTz+8ck5
  5yQf/vBwOvLOO5N//dfhKNi++w7LOarF/TE20bV69XAId72FC4d5W3LkkRtfIHnTTcNRsm98Y7h9
  zjlDhAGw49h77+Tmmzfc3vTIVzK80eoZzximFywYTkWuXDnM/5d/SV7+8uH6rSuuSN7xjn5j54Fh
  bKLrssuG3zAWL0522WUIq/PO23y53XcfvmHOPXfDvJtvHqLrCU8Ybh966PAuxk25rgvggWu//YZf
  1tesGd7dftFFydOfvvEyixcP74JPkltvHX5pf/Sjk9e+Nvn0p4cjYf/rfw2/uJ988uaP4QgY92be
  XA9gutatG86tX3BBstNOyRlnDBdFHnfc8CI//fRhuRe+MPnSl5Kf/Wzj9f/oj5JPfGIIthtuGN7e
  mwwX47/vfcleeyVf+ELyzW8mhx/e97kBMPt23jk5/vjhI4fWrRv+X79kyfALfNVwacorXpGcempy
  zDHDOq973fDL/L255JLkr/96uKTl5JOHAwSnnjr7z4fxU22Osryq2nQfe/78fTI5eeMsj4jZMjGx
  JGvWrJjrYQA7sMWL52fVqsm5Hgb306JFE1m5cs2cjqGq0lrbpnNiYxFdAABzaSaia2yu6QIAGGei
  CwCgA9EFANCB6AIA6GDWoquqnltV11TVdVX11tl6HACAcTAr0VVVOyV5f5LnJDkwycuq6kmz8VjM
  jeXLl8/1ENgG9t/4su/Gm/23Y5utI10HJ7m+tXZja+2uJGclOWKWHos54H8c483+G1/23Xiz/3Zs
  sxVdC5KsmnL7ptE8AIAdkgvpAQA6mJVPpK+q30xySmvtuaPbJyZprbVTpyzj4+gBgLGxXf4ZoKra
  Ocm1SQ5N8oMklyZ5WWvt6hl/MACAMTBvNjbaWru7qt6Y5IIMpzDPEFwAwI5szv7gNQDAjmROLqT3
  wanbt6o6o6omq+rbU+btWVUXVNW1VfWlqtpjyn0nVdX1VXV1VT17bkbNelW1sKouqqp/r6orq+qP
  RvPtw+1cVT24qr5WVVeM9t87RvPtuzFSVTtV1eVVdd7otv03JqpqRVV9a/Q9eOlo3oztv+7R5YNT
  x8LHMuyfqU5M8uXW2n5JLkpyUpJU1QFJXpJk/ySHJflgVW3ThYZss7VJ3tRaOzDJf0vyB6PvMftw
  O9da+68ky1prByX5lSTPrKpDYt+Nm+OTXDXltv03PtYlWdpaO6i1dvBo3oztv7k40uWDU7dzrbVL
  kvx4k9lHJDlzNH1mkheOpl+Q5KzW2trW2ook12fYx8yR1tqa1to3R9M/TXJ1koWxD8dCa+2O0eSD
  M/w/+sex78ZGVS1McniSj0yZbf+Nj8rmbTRj+28uossHp46nR7XWJpPhh3qSR43mb7o/V8f+3G5U
  1T5JnpLk35JM2Ifbv9GpqSuSrEmyvLV2Vey7cfKXSd6SZOoF0/bf+GhJ/qmqLquqY0fzZmz/zcq7
  F9kheAfGdq6qHp7knCTHt9Z+uoXPxrMPt0OttXVJDqqq3ZN8qaqWZvN9Zd9th6rqd5JMtta+Odpv
  98T+234d0lr7QVXtneSCqro2M/j9NxdHulYnWTzl9sLRPLZvk1U1kSRVNT/JzaP5q5MsmrKc/bkd
  qKp5GYLr4621c0ez7cMx0lq7PckXk/x67LtxcUiSF1TVDUk+leGavI8nWWP/jYfW2g9G/70lyecy
  nC6cse+/uYiuy5LsW1VLqupBSY5Mct4cjIN7V6Ov9c5L8urR9KuSnDtl/pFV9aCqemySfTN8GC5z
  66NJrmqtvXfKPPtwO1dVe61/Z1RV7Zrk/0pyRey7sdBaO7m1tri19rgMP9suaq29MsnnY/9t96rq
  oaMzBKmqhyV5dpIrM4Pff91PL/rg1O1fVX0yydIkj6yqlUneluRdST5TVUcnuTHDOzbSWruqqs7O
  8E6du5K8ofnwtzk1erfbK5JcObo2qCU5OcmpSc62D7drj05y5ugdUDtlOFJ54Wg/2nfj612x/8bB
  RJJ/GF2KMS/JJ1prF1TV1zND+8+HowIAdDAnH44KALCjEV0AAB2ILgCADkQXAEAHogsAoAPRBQDQ
  gegCAOhAdAEAdPD/A3/Pztj3soiSAAAAAElFTkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f7968a860d0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd4FNX6wPHvSScECL0FEqQXpYcOAUVQVGxXAUEFFdTr
  j2tBRb1KFCzo1WtBEQEVAQELSlGKogHpndBLqIFAKCGN9H1/f5x0EoiwN2Hh/TzPPrszc+bMmbO7
  75w504yIoJRSyjW5lXQBlFJKXToN4kop5cI0iCullAvTIK6UUi5Mg7hSSrkwDeJKKeXCihTEjTG9
  jTG7jDF7jDEvFjDd3xgz2xizxRiz2hjTxPlFVUopld9Fg7gxxg0YB/QCmgL9jTGN8iV7GdgkIs2B
  h4CPnV1QpZRS5ytKSzwY2Csih0QkDZgJ9M2XpgnwB4CI7AaCjDGVnVpSpZRS5ylKEK8JHMk1HJk5
  LrctwN0AxphgoDYQ4IwCKqWUKpyzDmy+A5Q3xmwE/glsAjKclLdSSqlCeBQhzVFsyzpLQOa4bCIS
  DwzJGjbGHAD258/IGKM3alFKqUsgIqag8UVpia8D6hljAo0xXkA/YG7uBMaYcsYYz8zPjwFLRSSh
  kILoS4RRo0aVeBmulJfWhdaF1seFXxdy0Za4iGQYY54CFmcG/ckistMYM8xOli+AxsAUY4wD2A48
  crF8lVJKXb6idKcgIguBhvnGTcj1eXX+6cUhKsq+V68ODgds2QItW+ZMP3kSkpOhVq3iLplSShUP
  l75i8/334YMP7Oe1a6FnT8i95/HZZ/DmmyVTtosJCQkp6SJcMbQucmhd5KX1cXHmYv0tTl2YMeLM
  5d17r21pP/ggnDkDTzxhg/qjj8Jvv8G330JCAixcmHe+vXttK71jR6cVRSml/meMMUghBzaL1J1y
  pTp0CDZtgr/+gv797bhnn4V69eCppyA6GurXP3++r7+GiAgN4kop1+fS3SkHD0JGBsTFwfz5EBxs
  x//+u+0vz8iAXbtg1CgYOxaeftp2t2zZYucFGDcO9u0rqTVQSqnL47LdKYmJUKmSDcppaVCuHGzb
  Bt99B6+/bgO7w5GT3s8PypeHn3+Gvn0hPd0G+GrVYNgw+PBDpxRLKaWczmW7U/71L6hcGSpUsAG4
  f3+47z746CM4fhyCgsDT03aZ1KhhX7fcAs88YwP11q2wf7/tXunSBerWhZtusnknJsLUqdC0KcyY
  Ae+9Z/NSSilXckW3xE3mdqd3bxvMx4+HMmXgxx9hzRrbCg8NBY/MTVFWEI6KsoE/qyXu7W27Vjw8
  4PBh2yoPDoakJJvnu+/aDUavXlC6tE0nkrN8pZQqSRdqiV/RfeJ16tj3LVvsa9s2G1w3bYJp02DQ
  IChVygbv3K3o6tVt4C5Vyr7c3Ox0YyAwECpWhPbtbXfMLbfYAD50qJ3viSdsHm5u8MUXxb/OSin1
  d1zRQTww0L7Hx8OePbY/u3x5+PxzqFoVmjW79LynT4fwcPDysl00Z8/Cr7/afvLISJtm3z57KmKW
  rPFHj8KpU5CScunLV0opZ7iig3hGhu3HHjYMHnjAnkr41lvQpAm89przlxcYaFv8WXsACxbA44/b
  z/HxcN119rTFunXtuenTpzu/DEop9Xdc0Qc24+Lg++/zXkoPOYHV2QIC7AHPrL70Xbty+tvDw+1Z
  MPPn2xb4smXQqpWdFhtrD4727Wu7ZHLbtct25URH2/XYtAk6dPjflF8pde25ooN4fDyULVt8y/P0
  hJo1bTeNpyfMnWsvKALbQgc7DmywzzrX/OefbV96UpI9Mya3xo1zPr/5JrzySt5bAyil1OW4ortT
  4uLs2SjFKSgI/vEPeOghOxwTY68C/eILezrinDk5aXMH+KpVYfVq2yIvzO7d/7NiO01kpN37Uf87
  GRn2IjN1ZUlJgU8+KXjanj12LzwiAn75Je80EXudSe7rUj76yH7P+UVF2ZMy8vvkE3sLkS+/tA3E
  3ObNu0jBi/meuPJ3eHuLnDv3t2a5bOvXi8TGioSFidivx77GjxdZvdp+9vISKV1aJCDAztOjh8hj
  j4kYI9KgQd78atbMyaNbN/t+JfvsM5FmzUq6FFe3Q4fs7yA5uaRLonL74Qf7vcTFnT9t9GiRrl3t
  /7xmTZH09JxpkZF2vogIO3zypB3eseP8fEaNEqlTJ++4ffts+lmz7PuXX+ad/vDDIpmxs+C4WtiE
  /8Xr7wTxlBQRDw8Rh6PIszjV1q05wffhh3PGg0jTpiI33WSDeUqKSKVKInPn2mnGiCQk5KRv0iQn
  n6yAXtg63XyzyOefi/z00/923bI4HCKdO4skJeWMGzbM1vvSpSKPPlr4vIcO2R+kiP3xffWVyMiR
  BacdN07krbdERoyww7/+KvLdd/bzq6+KHD588bKmpNiyFSY9XWTIEJGMjIvn5Uy//CIyebLIM8+c
  P23UKJEDB84fv3at/R107mzr5vPPz0+zfr3Iu+86u7TON3q0yJ49f3++Dz6wjaLcune3DaiCOBwi
  //d/IqdP2+FvvhEJCbHDzzwjcvz4+fM89ZRIx44iM2fmHX/ypM0r///wjjtE3NxE7r7bfifvvy9y
  220iXbqING8uUrasSPnyIvXqidx6q8jYsSLr1tnfAIjccoud74477PDNN9vlh4bagP7GGzaAu7uL
  nD1rl//QQzY/EGnTRqR+fdvYGzbMznvTTSJBQS4axE+dshVWUo4etbWzbZtIamrO+Ohokfh4kRMn
  RBo3tj9ELy87HmwAzP3jrFbN/mmrVLEB3tOz4C19aqqdv3lzu7UvDseP22X+8EPOuHbt7Do0bHjh
  vYY5c+wGSkTkiSdEWrYUKVOm4CCatRGrWtUOjxiRs4GoVUtk9uyLl/XIkcJbSSIiu3fb6adOXTwv
  Z3r2Wbvu5cqdP61OnZyNVW7z5uXUSYUKIj17np9m9Ghbn4mJzi+zMwUE2ID6dyQlifj7i7z2Ws64
  uDhbH1OmFDxP1l7wp5/a4dtvt8PvvWff82/w0tNFfH1tUG3cOG/A/ugjO8+6dTnjoqPtd3j//Xn3
  wHv0sN9x1n+7Z0+btl07O27AANtA8fDIO1/W8A8/2Hz7989pAAYHiyxbJrJmjUjduiLLl4sMHWqn
  T58uUrGirdfly215jHHRIH7ggEhgYJGTi4hIclqyJKUlXTxhEaSk2Iq8UMuuXz+7dQ0IsD+S2rXt
  Vvixx+x727a2hpOS7A+penXbGg8Kslvym24SOXbM5hUebtNWrGi34Bdy//32B3Cphg2zgTc42C7T
  x0fk55/tOpQundOSyPq6XntN5Mcfc+YfPdq2mqpWtT/q3r3thgxEWre2AbVnT5Fdu+y03D/su++2
  LYy2be3uqZubyH//a1tzIPLAAyIvvijyr3+JdOiQ8+fbvNlOb9fO1u8//ynSqpVIjRp5/3jVqtll
  ZrXaX3rJtpQyMuy8ufeS8mvTRqRPH5GdO0XuuUfkxhvtrnKW3r1FXn7Zdq2J2EDSoUPOut92m8gL
  L9jAkp5u17dly7x7KD/+mNWysi9/f9sFt3ChbTm2aSOSlmaX7+WVt97T0239njol0r69DfAdO9pG
  RZcuIjExl/6byNKjh21IREbavI8etcu66y7bGLnjDpFNm2zaU6fsOowebVvQwcEigwbZjc/w4SLf
  fy/y5JP2exo40H4PInav1ctLpG/fnHXK6r709rYb9qgoG8QqVLD5eXvb9D4+IhMn2v/a7bfb+uva
  1QbHTp1s2jJlbCPkuuvs76duXZFHHrHBdsIEm0ffvjbPrPSlStnf1cSJ9nuvU8fW6dy5tg6qV7fL
  y2rVT5tm66p8edswGzTILj8oyO4hPPig/Y+IiAwebDcovXqJfPKJ3Qvw8bHLf+89m+b99+3679lj
  GzlvvGHHr1ljf0MuGcS3bPn7fbNjlo6Rfy/599+b6TK8/bb94tq0scMOhw1I3t55t8oiNl2HDvbH
  BnaXCkT++MNOnzo1J33+fvX8atQ4v6sjPd12caSn277W6Gj7nphojytkBcP9+/O2Gu6+2279u3Wz
  fXoVKtiAnjU9MdEGv9BQm/+JE/bH7eZm8/Hysj/43Ovbvbt9Hz7cpss9rXRpOy73+OHDbfDLaq17
  e+fUYUSEXadff82bT+46Lls27zSwfyYRu17vvGP3qMB2k2X1Z6ak5HxvMTF2fapWFXn99ZzA/N13
  tkERFWVbRNWr2z9lVvrc6+HmZst17712A5Y7UJ88aevypZfyfv9Z6/LuuznrtH273cX+xz/sRiNL
  Vp5vvGHfV6yQ7BZl1m8pa50KasHnnpb1WcTuBWbtbfr7S3YLEnJaoWCDE9hAlJBgAxrYALlsWc66
  LF9uW5/BwXm/p5497W/otdfsugUF5exB3XKL3UjGx9uAGBpq07z7rt1AxMba7+n3323jrkwZ23ec
  1fccFCTSqJHtpjh71v6H7r7brtPrr+ds4Bs2FPnzT5tXVr5Zr6wGm8NhP+duwDkcOa8sGRm2gZa1
  d5g1X1aarPeMDPsfzMovPT3vOonY+i5dOmf+3MtxOFw0iP/+u/0D/h0P/PiAPDrnAh25Tvbrr/bP
  2KdPzrg//7S12qqV/VKyVvmOO2zLvVMn23KvW9dOyzqIMWxYzo/dx6fwfvPkZLvlL18+70Hfjz+2
  82a1/r28clrat91m+9kjI3NaSbfdZv9gzz5rf4gtW9oA1qqV/YP36JE3ODVqZFsrfn45AS7r5elp
  3xs3tq3ohg1Fnn/epqtW7fwgX9CrevWCx5cunVOPYJd/22223rO6fLICaVYLt0ULO8/Zs/YPX7ly
  3jzvv98Gi8qVbQBYscIuPyjI7gFUqpR3+ZUr5y1DtWq2Lgpbl6pV8w4HB9s9rKZN7bxg98SqVMlJ
  M2hQzuevv7Z19913eX9bs2bZ4JhVvrfesu+ffWbfx4yxeW7fbpezdWvOvIsX2/pas8Z+H7Vqiaxa
  Zae9+qoNmiJ2vUqXtrv3lSvb77ZZM/u9Xn+9rdtHH7XvAQH2P3rTTTawgy2fw2HrsX37nK65p5+2
  v81y5Wz+M2fa3/AHH+R8P48/bsuwbp39fzRvbhsjuWVk2D3VgQPtAcH+/e348ePtcZksn38uMmmS
  /XzokMh999n/X+/eJXec7UL27bPHdArjkkH8gw/sLvPF7Du9T/af2S/H449Lu4nt5O5Zd8vayLVy
  +tzpIi/rUmX1mz/ySM64g1FnBfcUWbvWlj9rlQcPtn+EW2+1gfzuu+20UaNsV0rFijafrD9yVJQN
  MOvX2/lPnrS7dj/8YP+EPXvaP0J8vN0VHzgwb0AbMsTuwmX9sZ591pYndwu+VSvbPyiS0+d81105
  07NaZVmvIUPsOhQWvKZOzVs/rVvb4JTV2irolRWIw8NzWnpg66Ny5az+wJxXly427yZN7C7op5/a
  8RMn2sDh4WFbOu3a2ZZp7hZv7tfLL9u8Bw3K2ZXt1s3uJmelqVzZ1mdkZNYu7aW94uJsMM49btYs
  2/+bNdygQc4yBwywe1sRETYYz51r94AeeCDvxr5XL/v+0EP23d/frlO/fnZ4xAjbBTJ3rg18uacZ
  Y7/r336z+QwYYBsFWRv/qlXtb8PNze6pZVm+3C6nTh0bUHfssMH81ltt2bt2zfsbaNYsp8tARGTB
  Arv83bvthsLfX+SVV+x6vv323/wDXkMuFMSv2It9tmyBTp3OH38s/hg1ytTIHu7yVReiEqIo7Vma
  xLREasTVIHhSMENbDeWDXh+QmpFK+VLlATiXdo6ktCQq+lZ0ShkrVUmjfGA0VavWzB4XuuZpGr6c
  QLNm3zF8uMk+z71vX3vjrSNHwN8f+vWzN+fats2eY/r00/ZOjQA33AB//glPPmlvxHXqlH3s3A+/
  H2Lv+lq0bOHGQw/BlCmwcqW9E2NaGtxxh70YqXNneOklaNPGXlwUE2Pnv/56mDUrp/xPPQVt29rP
  NWvaOz8GBeVMr1jRnuvau7c9dzww0N50zOGwt+7Nr2rVvMOhofaiqYr5qtsYe7fIvn2hTx+7rtdf
  b5fdurW9m2TlyvbWwrGxdvqMGXDzzfZ2BwDDh0O3brB9e86yT52yD8V2d7dPbZoyJedc3WbNwNfX
  Pou1Vy97Be6MGfYCrNmzbZqgIGje3H4eMsQub88eWzehobYOss7x7dnTlm/qVPDxsVf2Nmlib3X8
  n//Y9XniCXtecZky8O9/25uyzZ4Nzz9v76KZVfa6de1y7rnHrv8nn9grf4OCbBmeftrerC062t7B
  c/ZsOH0ali61v4/Vq+1FZQ0awO2328cT1qxpz2ueMAG6drXf7ciR8PbbcNtt9rbOP/8MDz9s7wXU
  qZPNs2JFu+y1a+HOO+3jDbt3z/nuWra0637vvXbZ111n501Kgo8/Pv/c6P/7P3sb6Cw33WQviKtb
  175HR8Ndd9nbSV/OvZCuaYVF9//FiyK0xGNjbTdF8+bnH7zbdmKbEIpsO7FNREQcDof4vukrE9ZP
  kPaT2guhCKFIubfLSZNPm8jwX4dL8/HNJSXddgCOWDRCmnzaJPvg555Te/K8J6YmSlR8lOw+tVsO
  xhyUpLQkORJ7RFLSUyQyNlJS0lPkePxxiUuOk4MxB+WJ+U8IocjHH+eUsf2k9lL27bIybcs0ORBz
  QKIToiU+JT57+pNPivzz5YPicDjk63l7BBxy22122owZtpXyxRd2l7l7d9u6+eor20qs/lY9ocn3
  4ucnsv3oAfH3t33YH3xgW0wTJtj5V67MKc999+W0RjdsuHDdd+8u8uGHOcPBwSJ33plz0DHrzAGH
  w3b5BATktAqNsa3pgqSn2+lubnavoEoV2/JcvDhvulGjbGszv5QUO39Bp9wtX26Xv3at7ZrKOpi0
  YUPOXgjYronQUJtP7vOzv/3WTnd3t321qam2Nbppk8je03vFkWvfe+lS20KuXt3u/axebVuQ9erZ
  PYSsvZwGDexBvfzCw+1y0tLs8MqVdtmPPWbfN20S2bhRhLJH5OZbcw7QZ3VVjB1rh2+80R6HAbu3
  AyIPDU6VyFh7FLZVK3vanYeHPQCY5ehR+x0sXWqHTyWekv9+flrc3e2ez+jRtuWclbe6cuBKLfGF
  C20ryNs7p1WU5cPV9vE7h2IP0bhyY9YfW4/BMLT1UG5vcDtD5g5h4b6F9KrXiwV7FzBt6zSqlq7K
  pI2TCCgbwMztMynrXZaJGybSvFpzek3rxYohK2g/qT3rh67nlT9eYcfJHRw8e5CmlZvSt2FfJm6c
  yKOtHuXLTV/yatdX+Sb8G6ITowksF8jW6K0ANOqyA2gCQMSZCD7v8zmvL32d3aftJZrDWg/j9ga3
  4+XuxYMPh9D+1yDqrPoPb+94h4GvzaT/rbWIii9DhNtmyvn34oEH3IiOti2mESNg8HP7IK0UdN9H
  z2dm8lBQA5pObM7YcaupmNyOBx+0LdfAQMA7Ds+KcUAAYMfdcIO93W7+e9DkN2rU+S3xwED79KOs
  vMC2pL/6yrZMs+7sOHEiNGxYcL7u7vbuk+XLQ4sW9q6RXl7n30NmwAC715Cfl5dt9eZv0UNO2apV
  s63P2rXtcMuWtkXr6wuPPGLLfuZMzm2Ks2T9xkaPhrvvhlPJUXz6pTdNmlQg6JOuLHlwCY0r23sn
  tG1rW5sitnXp7m6HPTzsHkDW/efffRcKekh7kybwzTc59+PJWp8ePWz9Vatm15XbhpFUoR8wKE8Z
  s95fe822/ufPt63snj1hWc2+BPx3Aan/TuWFdw7SonZ9fv897/eZtefQrp0dfnv526QHGKZOfY8B
  A+DVV21+n30G586dX35nSUpL4kTiCYL8gy6aVl1ckYK4MaY38CH2Mv3JIjI23/SKwDSgOuAOvC8i
  X19KgbZssZedDhqU988GsOLIClpXb83h2MOEHQyj17Re2T+E6mWqM+veWZR7pxwBZQIY0XEEiamJ
  NKnchIfnPEynWp34R5N/EFwzmP4/9sfL3YvUjFRGLxtNmiONbl93o1fdXpw+dxqHONgavZWt0Vvp
  VKsTb/71JnXL12Xa1mlsOLaBNEcaJxNPkpCagMFwy9wb2Bu4l+MJx0lMS+SeJvfwyNxH8PHwoXa5
  2szaPov5e+bj7eFN9yC7bzrmrzGcTT7LoaDX6bPwL5ptbMa26G3UbLQSX98ODHvmFOmOdK5vUZEl
  rdvjFnsdwQEdWHPyN25sZPtAdpQez3/uqsucvWHU7lKFtLjKuLeby9jNG/i+wXeICF4BO6hTp2n2
  bQQupFu3vMOVKtkg4Odng2HugNCvn72rpL+/7fIYMuTCD9GoVAlqN46mYlAG3ft4kOZIw8+vRp40
  DRoUPn9QkM0jv6pV7XKrVLG/l+RS+0lIrUJ0YjQPPlaJ0h5lGTbMzh8VlXcdspbp42M3LHXrwqCf
  XqBOjTpsO30nUQlR2Q0GsN1f99yTd/5//OP8MvXtm3dYRNhyYgstqrXglrtimL3zTzoEdOCcVwoe
  NWPp0qU5xieOeI/T1CtfB7cKh3D42we/bj6+mXKB/lC6FOWCEoC6BN5wCD8vPwbWPU1guUCodIAD
  Hgvw8fBhzu45vHfgHdb3XE+LFjkb3iwDBuR83ntmL6kZqXz4QM74hAR7e4n8RITwE+E0r9b8/In5
  hJ8I54aqN2QPx6fEE50YTUJqAn5efiw5sISZ22byx0N/ALApahMtqrXAZP6AsuZPzUgl4kxEdv3n
  diz+GF7uXlTyzflRZDgy2H5ye55lX2gd9p3ZR62ytfD28C4wvau4aBA3xrgB44AbgWPAOmPMHBHZ
  lSvZU8BmEbnFGFMJ2G2MmSYi6X+3QFu22BbUwIF5x59JOkNkXCTPdniWI7FHOJl4knRHOtX9cm4b
  WMarDO7GneplqjOi4wjA/oD2x+zntW6v4e7mzrm0c7zS5RU+XP0haRlp/LzrZxpUbMDBswf5+s6v
  mbF1BosiFrHz1E5ub3A7IzuP5J3l73BP43to9UUrnu/4PH5efny4+kO6BXVjy/EtxCTH8MOOH3jh
  9xcA8HL3IrhmMNdXuZ4hLYfQ6otWPNfhOe5vej8tJrRgcIvBzN09l2ZVmlG7XG3qlq/LtuhtNK3c
  lHtGbmPz8VK8tOQlFu5byHPdRlE/ohr16jVkWOd/MHHjRN5e/jaPtXqMjVEb+Wj1R8zZPYeImAhq
  lKlB+VsS2HbSnwV7F7D88HLeinmLTW/GAP4F1ndSWhJzd8+lT4M++Hn55Zn2xhv22aX7YyKY/0c5
  0vxiOZlYlsqlK5Ocnsxdw/ZRo0Yz3hl/mKPxbkQnRtOqeisOxx7G3bgDIAgnE0/y/fct+SziXTIc
  GXy0pjQnE08y4fYJAJxIOMG5tHP4efmRmJZYYAtt0qTzAxLYDczGjbA/bic1y9bkiV+e4P6m9zN/
  z3w61erEcx2fY+1aG+R79YJSNfZzJsmfCqUqsOX4Fq6vej1hf6UR77uL8BOGvw79xZL9S3h/1fsA
  HIk9wrJDy/Bw88DL3YuW1ezuzObjmwGoXLpy9jq0rWk3rltPbKVx5cZ4uNm/16rIVYR8HULsyFju
  /+F+VkWuona52vh5+eF4bD0VqiQwcvp0nv99ET/3+xnKHeGsz0ZWR66mw+QOBJQNoNTIGIb8Xpvl
  tZfT8cuONKnchLSMNNrWaAtP/QcAhzhYfng5+87sQ0QYM8ZQqlSBXztgg1hcShxg767ZsmXOnlV+
  e07vof3k9sSOjMXL3SvPtNPnThOTHMOZpDMElguk5YSWJLyUQClPu/Bp4dP4avNXrDu2jrY12nIm
  6Uz2cs8mn6X1F63ZNGwT9SvWZ/ep3QRPCmbJg0s4ePYgH6z6gM2Pb85e1sGzBynlUYo3l72Jv48/
  b974Zva0Obvn8Pj8xzkx4gTGGNIy0thyYgttarTJ/s66fNWFFUNW0LBSQ+p/Up+ugV15qu1T9G3U
  F083TzZEbcDb3Zt6Fepll7+4HI49jJe7F9X8qv2t+YrSEg8G9orIIQBjzEygL5A7iB8Hrs/8XAY4
  /XcDeK1a9oe0YYMN4v75Ys6by96kb6O+1PGvw+8Hfudk4kncjFueg5zGGMqXKp83sHuX4fXur2cP
  +3r6MqbHGALKBrAqchVrItdwX9P7WHJgCT4ePgxuOZi2NduyPXo79ze7H4AxPcYgIozuPprnOjxH
  Kc9SLDmwhI4BHYlJiiE2JZbRy0bTNbArj7Z8FIBn2j9DzbI1aVSpEW7GjU61OlG/Yn2+vftbqvlV
  49S5U9QuV5txt45j1rZZDJk7hIE3DGRRxLe8NfFJAG6tfytRqXv57PaPuPG6GwGo5leNcWvHMaLj
  CFpOaImflx/v3PQOoWGhrDu2DoBTKcd5eM7D9Krbiyqlq3DCYw1nktoSFR9F0ypN2XpiK0H+QRw8
  e5Cp4VP5aM1HjOw0Mrue9p7eSxnvMiT6nuZ4Yjwv/v4irau35sepP1KjTA2GthrKwoiFhB0M4581
  fsLRdRI9p67iRMIJvr3nW55Z9Axe7l6kO9I5m3yWEwkn+KzPZ+yL30w5n3LEn/HkSNwRjsUfIyE1
  gQd/epDoxGhub3A7UQlRjLt1HLHJsVT0rcj8PfPpFtgNt8opJDjK8/2WBdzZ6E7KepflTNIZTiae
  pEWLhtz4zVP0COrBtuhtdAjowKHYQxhjeI7nsruRfHxgwoHnWZl4PbfWv5V2k9rxZJsnuaHqDXw4
  +0N2ncr9k7YOnj3I04uextfTlwxHBq+HvI6/jz//WvgvPN098XDzoEaZGmyL3saxZ48xZ/ccBs8Z
  zGe3fsYt9W/B292bsSvGkuZIY2r4VHaf3k1ot1BG/DYiexm7Tu0ipfQ+9h3fR2xyLA7POLanz+fm
  qUsBSM1IZUSnZ5myZQq3z7idlPQUVh5ZSc0yNbO/8+p+1TmXdo5f9v5CbEosp5NOU7t2JdYfW095
  RwvWRK6hXUC77A2LQxwciDkAwBcbvqDndT1p27YO7h4ZrIlcT7uAdnnqYd+ZfSSnJ7MpatN500b+
  PpJJmybhZtxYPHAxDnGw89ROWlVvRfiJcFYcWZFdzqx3gOjEaDZGbUQQZm2fRctqLXlk7iOkO9K5
  7/v7KOXEvRbNAAAgAElEQVRZimPxx0h3pGeX+6UlL1HOuxyRcZFExufd4szYNoOT506y4+QOUjNS
  mbN7DqOXjWblkJUElA3gl72/kJiWSJuJbXik5SMABPkH8eqfrxKbEstN191Ex8kdaVSpEcNaD6N7
  ne74evqS7khn8/HNXF/lehpWyukz3Ba9jYCyAfj75ASr+JR4Dpw9UOjewIWMXT6WlIwUJt0x6W/N
  V5QgXhM4kms4EhvYc5sILDHGHAP8gPv/VimwLYAPPrAtpqyHMmQJOxjGzO0z2fL4FsJPhPPHgT9w
  iIM7G92ZJ2ADlPcpT/Uy+W7qXYDH2zxOx1odOXj2INeVvy57aw3QrEozmlXJe6jcGMO/u/47e/jp
  dk/TqFIjwqPDaVujLYLwbIdnaVLZ9o33bZSzT/1ez/foUKtDnvFPt7eBAeDmujfzXs/3qFu+Li8t
  eYlb69/Kkv1LmH3f7PN29YJrBvPNXd8AUKV0FZYeWspP9/9Ep1qd2Bi1kQzJwNfTl2Gth/FG9zd4
  ZckrrDiygi0ntjBz20xGdBzBk788Sf9m/Zm1fRYxyTG81/M9vtjwBaEhoSw5sIRX/niFw7GHcYiD
  k4knEYQVh1fQt1FfGldqzLLDy6hUqhJVSldh1OFOmOtKs+uUvfXagz89yIiOI0jNSOVc2jnGrhjL
  A9c/wHsr32PfmX20qdEGEWHvmb18vOZjpmyZQnW/6jSr0oxP131KVb+qTFg/gQ1RGwjyD+KjNR/R
  NbArFUpVIDY5lqPxR5m/Zz7PdXiOXtN6EZsSy4ohK9gWvY1dp3ZxLP4Yh2MPcyT2CEfjjhJ+Ipxq
  ftWoUroKK4+sZOuJrSyOWMx/Vv4Hd+POjlM7mLBhAhliT6t4s8ebvPLHKwC4G3d+3fcrAWUDSExN
  5Oi5owxfOBx3456dHuyuPUCvab1IyUihXc12/N+C/6Pbzm4kpiZSo0wN7mt6H++ueJdugd3oGtg1
  O/8MyWBb9DYiYiLYH7OfQ7GHqOBTkTPJp4lPjadHnR480eYJ7m1yLy2rtWTpoaU81Pwhhs0fRlRC
  FIlptt4r+VYizZFGxJkImlRuwkerP6J7ne7c+M2N3FLvFhbsW8DgFoPpHtSdjrU68tOunyjrXZbn
  OjzHtPBprIpcxVvTB3M2+SwdJt/JssHLqFW2FosjFjPwhoFExEQA8Nfhv0jJSMHHw4cbqt5A+Inw
  7Ja5Qxz8stfe4m/ria0kpyfz9MKn8wTu7P8Thq0ntrLi8ApurX8rM7fNxM/Lj/jUeABOJJ7ITrvv
  zD7cjTurIlex9OBSUjNSqVK6CikZOY/WWnF4BcsPL+fmujdz4zc3ciLxBDXK1ODZ9s8yetlojsQd
  IfxEOO7GncaVGjNlyxT7fucUZu+czWfrPiPIP4g0Rxpbo7cyY9sMnlrwVJ4yt6nRhnWP5azL8AXD
  6duwL92CuhFQNoCjcUf5bf9vzNg2gw1DN5y3zmCD/N4ze4lLiaOaXzX8vPwIKGuPXx2OO8zyw8v5
  rM9n2XWanJ7MjK0XuDUqRXhQsjHmHqCXiAzNHB4IBIvI8FxpXgEqi8jTxpi6wG/ADSKSkC8vGTVq
  VPZwSEgIISEhpKXZAzqlS8Prr8Nzz9npu07twiEO+nzbh3G3jKNPgz6cTT7Lv//4N/c1vQ9PN0+M
  MbQPaJ+d59ebv+auRndRzqfcBdfLWX7d+yvXlb+ORpUaXXZeCakJTAufxoDrB/Dt1m95vM2Fn34x
  eeNkjicc55Wur2QHp+d/e54v+37JTdfdREDZAP448Acv/PYCAWUDmLN7Dg0rNuS2Brfx/qr3ebnz
  y1TyrcTwdsPp+GVHqpauyrw98yjlUYqk9CRKeZSia2BX7mh4B//89Z/M7TeX2xvenr38Pw/8yf/N
  e57tMRtwN+683OVletfrTcdaHbPTfL35a+5ufDc/7viRR+c9SmXfyqRkpJCWkUbdCnUJPxHOBzd/
  QO1ytbnvh/vw9/GnXoV67DuzD293b5pVacZfh//C3bhToVQFdvxzB8ETg4mMi2TQDYMYv348glDO
  uxyxKbEAdK7dmbVH11KxVEV8PX3pHtSdHnV6MGD2gDz1d1eju3iv53vU+6QeHm4e3Fz3Zub1n4ff
  W35U86tGhVIV2BC1gcEtBpOYlkhKegoda3XklT9eobxPeYJrBhMSFMLzvz1Pv2b9qFSqEi91eYnd
  p3bT45se+Hj40Ll2ZxYNXMTqyNV0+rITH/f+mCfaPsG4teP4ctOXJKQm0LhyYzZFbSIqIYqHWzzM
  sfhj9LyuJ9PCp/FQ84d4pkPem9SHHQyj+xR7bMXTzZM0R1r2sZZzaec4de4UETER+Hr6kpKewhNt
  nqB7ne78eeBPFuxbQFxKHME1g+ldrzdPBT/FxqiNtJ3YFn8ff3rV7cXu07upX6E+O07u4HDsYd7t
  +S7f7/iepLQk9pzew8lz9pmFk26fxKPz7J7njXVuJN2RTmRcJMcTjtMuoB1/HPgDN+OGQxzU8bct
  s+jEaBLTEhlw/QAOxBwgIiaChQ8spN+P/fB292Zr9Nbs04UB3IwbT7d7mvVR6/nr0F8Ikr3x8HDz
  YMWQFXi7e3PPd/fw/s3vU6FUBX7Y8QMfr/2YMl5lOPT0Iar+pyrd63Rn6cGlPN/xebrX6c749eNx
  M27MuncWSWlJ1PigBk+3e5rQpaEElA0gJimGxLRE+tTvwy97f6FNjTYciT3CD/f9gJe7F2eTzzJw
  9kC61+nOsfhjhASGMH/vfPac3kNKegrf3vMt9za5l/iUeLZFb6NT7U5sPr6ZB396kK3RW/Fw86Bp
  5aYE1wxmeLvhrDi8gk/WfsKJxBO80PEFKp6oyNKlS9l9ejeRcZEcnXcUKeRByUUJ4u2BUBHpnTk8
  Enu6y9hcaX4F3hSRFZnDS4AXRWR9vrykoOWdOWOP1Lu52XNWs844GDpvKKsjV1PJt1L2QRBVuHRH
  OpM3TmZYm2HZ4zIcGdT8oCaxKbG8f/P79Krbizrl6/D5+s95rNVjeLrbJ0zvj9nPJ2s+oWfdnqRm
  pHL63GlqlatFHf861K9Yn/HrxvNIq0fO6w+dHj6dkUtGMqrbKB64/oFC+xETUhOYsXUGQ+cPxdvd
  mz4N+jB752ze6vEWw9oMw9fTlymbp/DX4b+YvtU+965hxYYMbjGYkUtGAjDg+gFMv3s6O07uYO/p
  vfRt1Jcbxt9AREwEraq34qu+XzF391xe+O0FAv0DaV29Nd/vyLk5uq+nL1VLV+XA2QNULV2Voa2H
  8kb3Nxi/bjwLIxbSqGIjxvYcy6SNk7iu/HW4GTfm7p5L/2b9yZAM3I07bWu25ctNX1LHvw6lPEvR
  PqA91f5Tjcl3TKZPgz4ApKSn8NXmr6hQqgKda3fO7vL7duu33Fz35uyDcbN3zqZiqYq8u/Jdft37
  a3Y55/Sbwx0N72D+nvk0q9LsvGME+2P2U/fjuoDdazx17hSda3e2/amlq3FX47so7VmanlN70i6g
  Hb8MyLkB9vh143lm0TOcGHEiu6GT7kjH/x1/EtMSKeVRirn953Lz1JvpWKsjbWu05cM19qywaXdN
  4/FfHueexvcQlRDFkdgj7Dy1067LfbPZfnI7r/75Ks+2f5aP1nyEt4c3TSo34aHmDxHkH0RZ77Ic
  PHuQh35+iOPPHefz9Z/ToGID+l/fn1F/juKNZW/wYqcX8Xb35oPVH5CQmsDLnV9mUcQi9pzew5bH
  t7D+2HrCDobx1eav6NOgDz/v+hkRYVDzQXzV96vs9ezyVRcyHBmsfGQl08On07NuTxbsXUDfRn3x
  9/Fn8/HNxKXEZe8VPfjTg8zaPgsvdy+6B3UnNiWWg2cPEv54OP5j/Xng+gdoULEBbyx9A2NMdheP
  v48/8Snx+Hn5cTrpdJ7v6ZGWj+Dn5cfiiMWEhoTyr4X/on+z/oxbO440Rxpgew5Ke5UmOT2ZU+dO
  EdotlNClobgbdwShul91wp8Ip6JvxUKDeFHO7XYH9gGBgBewGWicL837wKjMz1Wx3S8VCsirwHMg
  Dxyw56U++2ze8bd9e5sQijy78NkC51NFM2/3PHn7r//N5XAxSTEya9usIqcnFOn8ZWeZtW2WlBpT
  StIz0vNMn7d7nri/7i4/bP9BjsYdlenh04VQxP11d/l07afn5Td/93xZdnCZLNi7QERE4pLjhFCk
  21fd5MNVH0qTT5vI5I2TZd7uebLi8Ar5aedPMnnjZFmyf4nsOrkrO5/lh5bL9ujtl1QHM7bOkLjk
  Qm6vWAQp6SkyZfMUWbxvsRyMOXjR9MlpyUIoEvRhkPT7oZ/cMP4GeXze47Ls4DLZeXJndrrbv71d
  Xlj8Qp55Y5Nj5ccdP+bPUqZtmSatJ7SWoA+DJMORIeXfKS/j142XyRsnC6HIP3/5p8Qmx8qcXXPk
  9LnTsvrIaiEUaTSukRCKLD+0XPac2iPPL35ejsUdk592/iTLDy2XRfsWnbesSRsm5Tn/XkRke/R2
  IRTZf2a/RCdEy/fbvxf3191l7+m9EhUfJbN35Nzqcnr4dGnwSQOJToiWqVumyuSNk+Vs0tk8+T0+
  73F5bG7Rbwe6JnKNEIq89sdrEnYgTF76/SW5dfqtIiJS6d1K8tofr0lqeqqMXzdeZu+YLfd9f590
  /rKz+L7pK4Qi7614T75Y/4UQiny16Sv5PeJ3GTh7oBCKmFAj5d8pL9PD7aWvt0y7RTzf8BQTauS/
  q/4rX2/6Wob/Olx8xvjI2aSzMj18uny58UtZsHeBrIm0F8twuZfdA72B3cBeYGTmuGHA0MzPlYB5
  wBYgHOhfSD4FVmB4eME3u2o9obUQiny58cvzJyqXNG/3PDlz7owkpSXJt+Hfnjc9NT1Vpm7JuX5/
  2cFlQijy+brPJToh+rz0BXl/5fvyy55fJCo+Kju4X22mbpkq98y6R8YsHSM3fXNTgTd+W31kdZ6g
  fjH//OWf8sCP9mqr77d/L7HJsbImco14vuEp51LzPp0lLSNNpm2Zlr2Rzbpg7nJ8velryXDk3HVq
  evj08zbyInZD9NPOC990f8vxLbIpatPfWv6cXXOyNwb7Tu+TZQeXiYhIu4ntZMrmvPfIPXz2sPwW
  8ZscOntI/tj/R/b4KZunZG+gHA6HfLP5Gwn5OkSGzh2anWbl4ZUyZukYqfdxvexxM7fOlPof1y+0
  bJcdxJ31KiyIL19u7/CXX433awihyNrItYWunLq6HYw5KO6vu0taRlpJF+WKs+rIKjkYc1AG/DhA
  /rvqv5ed3/bo7bLl+JY841LTU+X77QVcfpopayObvyV8Nfk94nc5mXjykudfeXilRJyJyDMuNjlW
  ftnzS/ZwfEq8zNs9r9A8LhTEL9on7kyF9YkvXAj//S8sWpQzbuKGiQydP5Qf7/uROxrekX2Kkbq2
  OMTBvN3z8pzto/LaGLWRyr6VqVWuVrEv++DZgzQc15DkV5KzL9ZRzmeMufQDm04uSIFB/Lvv7CXc
  WQ/ojU+Jp+w79jH3Mqr4yqeU+ntEhEURi+hdr3dJF+WqdqEgXuJPu9+zx94LIvdT7dccXVNyBVJK
  FZkxRgN4CSvxIP7ZZ7B7N5QtmzNu+eHlDA8ezupHVpdcwZRSygWUaBBPS7P3dAZIz7xI/+2/3mbW
  9lnc1fiu8y7vVUoplVeJBvGFC+3N4AEOHIAdJ3fw8h8vE5scS5faXS48s1JKqZI9sPmPf9h7Ic+f
  D6c7PEG8/wq6BnblX+3+Rf2K9YutXEopdSW74s5OOXHCdp80aQIHD0KyRxRNP2vKN3d9Q/eg7pT2
  Kl1sZVJKqSvdhYJ4iZx83a+f7Q/v0sU+7eXHHSvpWKsjtzW4rSSKo5RSLqvY+8QPHYKwMFixwj4U
  FuztLTvVKuCpyEoppS6o2Fvi4eH2nuHR0faZgbdOv5UNURtY8uCS4i6KUkq5vGJviScnQ5s29raz
  1zWOY8G+BVTzq3beQxiUUkpdXIkE8QoVYOlScJSLoFmVZiwfvLy4i6GUUleFEgniPj7QuTPsPxtB
  vQr1KONd5uIzKqWUOk+JBXGAiDMR1C1ft7iLoJRSV41iD+IpKeDtbR9sOuavMdkPFlZKKfX3FfvZ
  KUlJwsLSA/l+9nL+3eXfDG4xuLiLoJRSV41ib4nvTV3OMbdVeLh5MKj5IL2RvFJKXYZib4nHpcZQ
  3bsZ2/5vjgZwpZS6TMXfJ56Wjoe7hwZwpZRyghIJ4p7u+rxMpZRyhuIP4ulpeLl7FvdilVLqqlTs
  QTxVW+JKKeU0RQrixpjexphdxpg9xpgXC5g+whizyRiz0Riz1RiTbozxLyiv1Ix0vDw0iCullDNc
  NIgbY9yAcUAvoCnQ3xjTKHcaEfmPiLQUkVbAS0CYiJwtKL/U9DS8PbQ7RSmlnKEoLfFgYK+IHBKR
  NGAm0PcC6fsDMwqbmJquLXGllHKWogTxmsCRXMORmePOY4wpBfQGfiwss7SMdLw9NYgrpZQzODua
  3g4sL6wrBeDM1l/YmZFI6IFQQkJCCAkJcXIRlFLKtYWFhREWFlaktBd9ULIxpj0QKiK9M4dHAiIi
  YwtIOxv4TkRmFpKXVOj7FvcOiGPCfW8XqYBKKXWtu9CDkovSnbIOqGeMCTTGeAH9gLkFLKQc0A2Y
  c6HM0jPS8fbS7hSllHKGi0ZTEckwxjwFLMYG/ckistMYM8xOli8yk94JLBKRpAvlly5p+GifuFJK
  OUWRoqmILAQa5hs3Id/wFGDKxfJKd6Tj4+Xzd8qolFKqEMV+xWaG6CmGSinlLMUexHHTy+6VUspZ
  ij2Ii1sannoDLKWUcorib4kbbYkrpZSzFH9L3KTj6aZBXCmlnKFEulM8tCWulFJOUSIHNvWhEEop
  5Rx6dopSSrmwEgjiaRrElVLKSUqmJe6m3SlKKeUMJRLEPfTsFKWUcoriD+LuGsSVUspZij2IG/c0
  DeJKKeUkJXR2ivaJK6WUM2ifuFJKubAS6BPX7hSllHIWPcVQKaVcmHanKKWUCyuRKzY1iCullHPo
  2SlKKeXCtDtFKaVcmAZxpZRyYXqKoVJKubAiBXFjTG9jzC5jzB5jzIuFpAkxxmwyxmwzxvxZeGZ6
  iqFSSjnLRZvExhg3YBxwI3AMWGeMmSMiu3KlKQd8CtwsIkeNMZUKzVC7U5RSymmK0hIPBvaKyCER
  SQNmAn3zpRkA/CgiRwFE5FRhmYlbOu5u7pdaXqWUUrkUJYjXBI7kGo7MHJdbA6CCMeZPY8w6Y8yg
  QnMzDtyNBnGllHIGZ/VreACtgB5AaWCVMWaViOw7L+WyVN4c/SYebh6EhIQQEhLipCIopdTVISws
  jLCwsCKlNSJy4QTGtAdCRaR35vBIQERkbK40LwI+IvJ65vAkYIGI/JgvL+FVD1JGJeLl7vU3Vkkp
  pa5dxhhExBQ0rSjdKeuAesaYQGOMF9APmJsvzRygszHG3RjjC7QDdhZcGsHNFP+ZjUopdTW6aHeK
  iGQYY54CFmOD/mQR2WmMGWYnyxcisssYswgIBzKAL0RkR4EZGocGcaWUcpKLdqc4dWHGCKHgeM2B
  MQXuGSillMrncrtTnE4DuFJKOUfxB3GHdqUopZSzlEBE1Va4Uko5S/EHcdGWuFJKOUuxR1RTMt3w
  Sil1VSqBlrh2pyillLOUQLNYW+JKKeUs2ieulFIurAT6xLU7RSmlnEVb4kop5cI0iCullAvT7hSl
  lHJhenaKUkq5sOJviWt3ilJKOY3eO0UppVyYHthUSikXpvdOUUopF6bdKUop5cL0wKZSSrkwPcVQ
  KaVcmF7so5RSLkzPTlFKKRemZ6copZQLK1JENcb0NsbsMsbsMca8WMD0bsaYs8aYjZmvf18gt0sv
  rVJKqTw8LpbAGOMGjANuBI4B64wxc0RkV76ky0Tkjovmp90pSinlNEWJqMHAXhE5JCJpwEygbwHp
  itTE1u4UpZRynqJE1JrAkVzDkZnj8utgjNlsjPnFGNOk8Oy0O0UppZzlot0pRbQBqC0i54wxtwA/
  Aw0KSpi24iShoaEAhISEEBIS4qQiKKXU1SEsLIywsLAipTUicuEExrQHQkWkd+bwSEBEZOwF5jkA
  tBaRM/nGS+kRzUl4b3ORCqeUUgqMMYhIgd0YRelOWQfUM8YEGmO8gH7A3HwLqJrrczB243CGAujF
  Pkop5TwX7U4RkQxjzFPAYmzQnywiO40xw+xk+QK41xjzBJAGJAH3F5afnp2ilFLOc9HuFKcuzBgp
  +1wbYv+zrtiWqZRSru5yu1OcTLtTlFLKWfSye6WUcmEaxJVSyoVpd4pSSrkwbYkrpZQL0yCulFIu
  TJ/so5RSLkxb4kop5cL0QclKKeXCtDtFKaVcmHanKKWUC9MgrpRSLky7U5RSyoVpS1wppVyYBnGl
  lHJh2p2ilFIurPiDuNGWuFJKOYt2pyillAvT7hSllHJh2hJXSikXpkFcKaVcmHanKKWUC9OzU5RS
  yoUVKaIaY3obY3YZY/YYY168QLq2xpg0Y8zdhabRlrhSSjnNRYO4sU3ncUAvoCnQ3xjTqJB07wCL
  Lpif9okrpZTTFCWiBgN7ReSQiKQBM4G+BaT7P+AHIPpCmWkQV0op5ylKRK0JHMk1HJk5LpsxpgZw
  p4iMhwv3lxij3SlKKeUsHk7K50Mgd195oZH69PLNhIaGAhASEkJISIiTiqCUUleHsLAwwsLCipTW
  iMiFExjTHggVkd6ZwyMBEZGxudLsz/oIVAISgaEiMjdfXtL4hUfZMXZiEVdFKaWUMQYRKbBxXJSW
  +DqgnjEmEIgC+gH9cycQketyLewrYF7+AJ67MEoppZzjokFcRDKMMU8Bi7F96JNFZKcxZpidLF/k
  n+VC+emBTaWUcp4i9YmLyEKgYb5xEwpJO+RCeWkQV0op5ymBKza1O0UppZyl2IO4m7bElVLKafTe
  KUop5cL0LoZKKeXCir87RVviSinlNPpQCKWUcmHanaKUUi5MD2wqpZQL0z5xpZRyYdqdopRSLky7
  U5RSyoVdEd0pQUFBGGOuildQUFBxV6lS6hrmrIdCFFlB3SmHDh3iYvc1dxV6bxilVHHSe6copZQL
  0z5xpZRyYSXQJ67dDUop5SzaEldKKRemfeJKKeXC9Mk+RRATE8Ndd92Fn58fderUYcaMGSVdJKWU
  AkrgFENXvOz+ySefxMfHh5MnT7Jx40b69OlDixYtaNy4cUkXTSl1jdPulIs4d+4cs2fPZsyYMZQq
  VYpOnTrRt29fpk6dWtJFU0qp4o+oIq7VnbJnzx48PT2pW7du9rjmzZuzffv2EiyVUkpZxd6d4nBc
  2nbDGV3pl3JRaEJCAmXLls0zrmzZssTHx19+gZRS6jIVKaIaY3obY3YZY/YYY14sYPodxpgtxphN
  xpj1xpgehWZ2iUFc5PJfl8LPz4+4uLg842JjYylTpsylZaiUUk500Yhq7Ind44BeQFOgvzGmUb5k
  v4tIcxFpCQwGvigsP4fDtbpTGjRoQHp6OhEREdnjtmzZQtOmTUuwVEopZRWlWRwM7BWRQyKSBswE
  +uZOICLncg36AacKy8zhcK0bXfn6+nL33Xfz2muvce7cOZYvX868efMYNGhQSRdNKaWKFMRrAkdy
  DUdmjsvDGHOnMWYn8CswvLDMUhznCpt0xfr00085d+4cVapUYeDAgXz++ed6eqFS6orgtAObIvIz
  8LMxpjMwFWhYULr9f/1KaGgyACEhIYSEhDirCP8z5cuX56effirpYiilrhFhYWGEhYUVKa252H28
  jTHtgVAR6Z05PBIQERl7gXkigGAROZ1vvDR/8Rk2v/NB/vRX1f3Er5Z1UUpdGTLjSoEHFIvSnbIO
  qGeMCTTGeAH9gLn5FlA31+dWAPkDeJZUSSxquZVSSl3ERbtTRCTDGPMUsBgb9CeLyE5jzDA7Wb4A
  7jHGPAikAonA/YXlp0FcKaWcp0h94iKykHx93CIyIdfnd4F3i5JXmtEgrpRSzlL8dzF0eBb3IpVS
  6qpV7EG87fFCrwNSSin1NxX/XQxT/Yt7kUopddUq9iCekVHcS1RKqauXBnGllHJhxR7E09OLe4mX
  79NPP6Vt27b4+PgwZMiQki6OUkplK/b7ibtiS7xmzZq8+uqrLFq0iKSkpJIujlJKZdMgXgR33nkn
  AOvWrePo0aMlXBqllMpR7N0pLVsW9xKVUurqVewt8bffvrT5zOuX/zAJGaU3plJKXV2KPYhf6rMy
  NQArpdT5ir07RSmllPNoEC+CjIwMkpOTycjIID09nZSUFDJc8QitUuqqo0G8CMaMGYOvry9jx45l
  +vTp+Pr68uabb5Z0sZRS6uJP9nHqwoyRgpZ3NT0N52paF6XUleFyn+yjlFLqCqVBXCmlXJgGcaWU
  cmEaxJVSyoVpEFdKKRemQVwppVxYsV92X5DAwEDMpV6Pf4UJDAws6SIopa4hRTpP3BjTG/gQ23Kf
  LCJj800fALyYORgPPCEiWwvIp8DzxJVSShXuss4TN8a4AeOAXkBToL8xplG+ZPuBriLSHBgDTLy8
  Il/9wsLCSroIVwytixxaF3lpfVxcUfrEg4G9InJIRNKAmUDf3AlEZLWIxGYOrgZqOreYVx/9cebQ
  usihdZGX1sfFFSWI1wSO5BqO5MJB+lFgweUUSimlVNE49cCmMaY7MBjo7Mx8lVJKFeyiBzaNMe2B
  UBHpnTk8EpACDm7eAPwI9BaRiELy0qOaSil1CQo7sFmUlvg6oJ4xJhCIAvoB/XMnMMbUxgbwQYUF
  8AsVQiml1KW5aBAXkQxjzFPAYnJOMdxpjBlmJ8sXwKtABeAzY0/4ThOR4P9lwZVSShXz/cSVUko5
  V7Fddm+M6W2M2WWM2WOMefHic7g2Y8xkY8wJY0x4rnHljTGLjTG7jTGLjDHlck17yRiz1xiz0xhz
  c8mU+n/DGBNgjPnDGLPdGLPVGDM8c/w1Vx/GGG9jzBpjzKbM+ngrc/w1Vxdgr0Mxxmw0xszNHL4m
  6yuZn50AAAJ4SURBVOGyiMj//IXdWOwDAgFPYDPQqDiWXVIv7Bk6LYDwXOPGAi9kfn4ReCfzcxNg
  E7Z7KyizrkxJr4MT66Ia0CLzsx+wG2h0DdeHb+a7O/a6ik7XcF08A0wD5mYOX5P1cDmv4mqJX/SC
  oauNiCwHYvKN7gtMyfw8Bbgz8/MdwEwRSReRg8BebJ1dFUTkuIhszvycAOwEArh26+Nc5kdvbAMn
  hmuwLowxAcCtwKRco6+5erhcxRXE/+4FQ1erKiJyAmxgA6pkjs9fP0e5SuvHGBOE3UNZDVS9Fusj
  swthE3AcCBORHVybdfFf4Hkg94G5a7EeLoveirZkXVNHlY0xfsAPwL8yW+T51/+aqA8RcYhIS+ze
  SBdjTAjXWF0YY/oAJzL30C506vFVXQ/OUFxB/ChQO9dwQOa4a80JY0xVAGNMNSA6c/xRoFaudFdd
  /RhjPLABfKqIzMkcfc3WB4CIxAG/Am249uqiE3CHMWY/MAPoYYyZChy/xurhshVXEM++YMgY44W9
  YGhuMS27JBnytjLmAg9nfn4ImJNrfD9jjJcxpg5QD1hbXIUsJl8CO0Tko1zjrrn6MMZUyjrjwhhT
  CuiJPWB3TdWFiLwsIrVF5DpsPPhDRAYB87iG6sEpiusIKtAbe1bCXmBkSR/RLYb1/RY4BqQAh7H3
  lCkP/J5ZD4sB/1zpX8Iecd8J3FzS5XdyXXQCMrBnJW0CNmb+Hipca/UBXJ+5/puALcCIzPHXXF3k
  Wr9u5Jydcs3Ww6W+9GIfpZRyYXpgUymlXJgGcaWUcmEaxJVSyoVpEFdKKRemQVwppVyYBnGllHJh
  GsSVUsqFaRBXSikX9v9GJVy78s6pUwAAAABJRU5ErkJggg==
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f7964811fd0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "source": [
      "data=shelve.open(\"./scores/DECODA_MINIAE_TANH_TFIDF_H30.shelve\")
  ",
      "scores={}
  ",
      "#del scores_ordoned
  ",
      "for key,table in data.iteritems():
  ",
      "    scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)
  ",
      "   # if key not in scores_ordoned:
  ",
      "   #     scores_ordoned[key]=[scores[key]]
  ",
      "   # else :
  ",
      "   #     scores_ordoned[key].append(scores[key])
  ",
      "#data.close()
  ",
      "show_network_TRANS(scores)
  ",
      "pandas.DataFrame(zip([x[0] for x in data[\"ASR_AE_H1\"][0] ],[x[0] for x in data[\"ASR_AE_H1\"][1] ])).plot()
  ",
      "data.close()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 103,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAJZCAYAAACTE4A9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xu0XlV9L+7PlwCKlpsIO5Ib1guCtZWqtBUviTe8guPU
  Y6Ee0aJitbZY/FWBM4bgaCtij20dRz31Vpt64+ClBXssokBs1aPgHcvVIkkI7i2KRT1ggWT+/lhv
  zE4IZEP2njsveZ4x9sha812XubLWu9/PO+dca1drLQAAzK1d5rsCAAA7A6ELAKADoQsAoAOhCwCg
  A6ELAKADoQsAoAOhC+iuqp5QVVdX1U+q6tnzXZ8dWVV9sKreON/1ALaf0AU7iar66Sjk/KSq1lfV
  zdPKju1cnT9L8rbW2l6ttU933neq6rqqWldV951W9sqq+uxoekFVbZj2/7Px39fezf0ITMAv7Drf
  FQD6aK3tuXG6qq5J8rLW2kV3tnxVLWitrZ+j6ixLctk9WXGW6tWS3CfJHyb5iy3Kp08f2lpbu537
  useqyhdjuBfxhoadU41+NhVU/WlVnVVVH6mqm5K8qKp+s6r+b1X9eNQy9PaqWjBafmNr0AmjrsIf
  VdXbp23vYVX1+ar6j6r6QVV9aFT+vSRLkpw3aj2qqlpUVZ8abePKqvq9bdTrT6vqo6Oyn1bVN6rq
  IVX130f7+l5VrdjG/8Fbk/xJVf3STP+PRvXZo6puqaq9R/OnVdWtVbXHaP7NVfXWqnpVkt9Jcuro
  OD8xev2RVbVq9H/6rendq6OWsXdU1T9X1U+TPGGLfe81+j992zaODdgBCV3AdM9P8qHW2t5J/neS
  25L8UZIHJDkiyZFJXrnFOs9KcliSX0/y36rqKaPyP0/yT621fZIsTvLOJGmtPTjJ95McOepebKN9
  /XuShUmOSfLWqnriXdQrSY5K8t4ke2doNbtgVN+FSc5M8u5tHOtXknwpyeu2/d+ySWvtliRfS/Kk
  UdGTkqxO8vjR/JOTrGqt/a9RXd88Os7frqrdknxq9PPAJCcl+d9V9cvTdnFsktNGLZNf3lhYVfsl
  uTDJ51prd6vOwI5B6AKm+8LGMVattf9srX2ttXZJG1ybIeQ8eYt13txa+1lrbXWSVUkePSq/LclB
  VXVga+3W1tr/3WK9SpKqOijJ45Kc3Fq7rbX2jSQfSPLiO6vXqGxVa+2i1tqGJB9Lsndr7a2j+bOS
  PKSq7reN431jkhOrap87ef3bVXXjqFXqxmmtZ/+S5MlVtWuSQ5O8YzS/R4bw+YU72d4RSXZrrb2t
  tba+tXZBkn/OEDQ3+ofW2sWjY711VLZktM+/b6396TaOCdhBCV3AdJuNX6qqg6vqn6rq+6OuvTdl
  aKGZbmra9M1JNnbXnZRk9yRfHXWjHXcn+zwwyQ9baz+fVrY6yaI7q9dW9ntLkhu2mK9pddmq1tq3
  k3wmycl3ssijWmsPaK3tO/p34xi4zydZkSEsfj1DK9vyDK1dl7XWfnIn2zswyZotymZyrM9LsiDJ
  ++7qeIAdm9AFTNe2mH93kkuT/PKoa++0bGWc01Y31NpUa+0VrbUDk7wmyXuqatlWFr0+yQM3joka
  WZpk3V3Ua0ZVmOFypyd5VYZuyS3d2bF+MckjM3Rxfr619p0kD0nyzAyB7M7qcH2GVqvpZnKs/yvJ
  RUk+Pf2OS2C8CF3AXdkzyU2ttVuq6pDccTzXnaqq/1pVB45mb0qyIckd7jocdVt+Ncmbq2r3qnp0
  kt9L8sHtrPtMw+GVST6R4U7GGWmt/SzJtzKEtY0h6ytJTsjmoWsqyfTxWl9KcntVnVRVu47Gvz0r
  Q3foNnbZXpXkmiSfqqr7zLSuwI5D6IKd00xbgV6X5KVV9ZMMrS1bhoMttzN9/jeSXDK6C+/jSV7d
  WrvuTtb7nSQPTzKZ5OwM47v+dYZ1vDN3dYxbvvamDF2RWz4y4t+2eE7X9MdLfD7D79CvTpu/f5Lp
  9X5fkkeP7so8ezRG63kZbgz4YZK/TnJsa+2au6jz9LKXZQhynxwNygfGSA03Dm1joaprs+mb6m2t
  tcOrat8Md+YsS3Jtkhe21m4aLX9KkuOT3J7kxNba+XNSewCAMTHTlq4NSZa31g5rrR0+Kjs5w63L
  B2e4jfmUJKmqQ5O8MMkhGZrN31VVM2rmBwC4t5pp6KqtLHt0kpWj6ZUZmsuTYWDpWa2120djNa5O
  cngAAHZiMw1dLclnq+qSqnr5qGyitTaVJK21ySQHjMoXZfNbntdl89uhAQB2OjP924tHtNa+X1X7
  Jzm/qq7MXQ+gBQBgmhmFrtba90f/3lBV/5ihu3CqqiZaa1NVtTDJD0aLr8vmz6FZnM2fQZMkqSoh
  DQAYG6217Rqjvs3uxaq638Y/CFtV90/yjAwPSzw3yUtHi70kyTmj6XOTHDN63s6Dkzw0ycV3Unk/
  Y/pz2mmnzXsd/Dh/O+OPczfeP87f+P7Mhpm0dE0k+YdRy9SuST7cWju/qr6a5OyqOj7Dn7F44ShI
  XVZVZ2f4A7S3ZXg2j1YtAGCnts3Q1Vr7Xjb9Advp5TcmedqdrHNGkjO2u3YAAPcSnkjPPbJ8+fL5
  rgLbwfkbX87deHP+dm4zeiL9nOy4Sq8jADAWqiptrgfSAwCw/YQuAIAOhC4AgA6ELgCADoQuAIAO
  hC4AgA6ELgCADoQuAIAOhC4AgA6ELgCADoQuAIAOhC4AgA6ELgCADoQuAIAOhC4AgA6ELgCADoQu
  AIAOhC4AgA6ELgCADoQuAIAOhC4AgA6ELgCADoQuAIAOhC4AgA6ELgCADoQuAIAOhC4AgA52ne8K
  zMTChQdlamr1fFeDe2hiYlkmJ6+d72oAO7GlSxdm7dqp+a4G99CSJRNZs2Zyvqux3aq1Nj87rmoz
  3XdVJZmfejIbKvN1nQEkw+fIRRfNdy24p1asyLx/jlRVWmu1PdvQvQgA0IHQBQDQgdAFANCB0AUA
  0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB
  0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAF
  ANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQ
  gdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQ
  BQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA
  0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANCB0AUA0IHQBQDQgdAFANDB
  jENXVe1SVV+vqnNH8/tW1flVdWVVfaaq9p627ClVdXVVXV5Vz5iLigMAjJO709J1YpLLps2fnORz
  rbWDk1yY5JQkqapDk7wwySFJnpXkXVVVs1NdAIDxNKPQVVWLkzw7yfumFR+dZOVoemWS54+mj0py
  Vmvt9tbatUmuTnL4rNQWAGBMzbSl66+S/EmSNq1sorU2lSSttckkB4zKFyVZO225daMyAICd1q7b
  WqCqnpNkqrX2zapafheLtrt4batOP/30X0wvX748y5ff1eYBAPpYtWpVVq1aNavbrNbuOitV1ZuT
  /LcktyfZI8meSf4hyWOTLG+tTVXVwiQXtdYOqaqTk7TW2pmj9c9Lclpr7StbbLdta9/Tls09yHTs
  MCozPdcAc6GqctFF810L7qkVKzLvnyNVldbado1R32b3Ymvt1Nba0tbaLyc5JsmFrbUXJ/lUkpeO
  FntJknNG0+cmOaaqdq+qByd5aJKLt6eSAADjbpvdi3fhLUnOrqrjk6zOcMdiWmuXVdXZGe50vC3J
  q2fcpAUAcC+1ze7FOdux7sWdiO5FYH7pXhxvO033IgAA20/oAgDoQOgCAOhA6AIA6EDoAgDoQOgC
  AOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDo
  QOgCAOhA6AIA6EDoAgDoQOgCAOhg1/muwN1x5JHJX/91sssuyfvfn7z1rZu//oAHJB/6UPKgByUL
  FiRve1uycuXw2vvelzz3ucnUVPJrv9a/7gDj4LzvnpfXnvfabGgb8rLDXpY3POENm73+P770P/Lh
  Sz+cSuW2Dbfl8hsuzw9f/8Psc999csa/npEPXfqhLKgFedTEo/KBoz+Q3RfsPk9HsnUXX5y84x1J
  a8mzn50ce+zmr990U/LmNyc/+lGyYUPywhcmz3xmcuutyYknJrffntx2W3LEEckrXjGss3Jl8k//
  lOy77zD/8pcnhx/e97gYD9Vam58dV7WZ7ruqUtVy1VXJU5+aXH99csklyTHHJFdeuWm5N74xue99
  k1NPTfbbb3htYiJZv354g/zsZ8nf/73Q1V9lvq4zYOY2tA15+P98eC447oIcuOeBedx7H5ezXnBW
  HvHAR2x1+X+66p/y11/+63zuuM9l9X+szoqVK3LFa67I7gt2z+98/HfynIc9J8f92nGdj2LrqioX
  XJC8+MXDF/IHPjD5/d8fPjeWLt203MqVQ8B6xSuGAHbcccknPzl8kf/5z4fPmPXrkz/8w+RVr0oe
  9ahhnT32GAIac2PFisz750hVpbVW27ONselePPzw5OqrkzVrhm8aZ52VHH305stMTiZ77jlM77nn
  8E1l/fph/otfTH784751BhgnF6+7OA/b72FZts+y7LZgtxzzK8fknCvOudPlP/qdj+bYXxmaiva6
  z17ZfcHu+X+3/r/cvuH23HzbzTlwzwN7VX1GrrgiWbw4Wbgw2XXX5ClPGT4bptt33+Tmm4fpm29O
  9tprCFzJELiSoaWrtU2fNzBTYxO6Fi1K1q7dNH/ddUPZdO99b/LIRybr1iXf+tbQFAzAzKz7ybos
  2WvJL+YX77U46366bqvL3nLbLTnvu+fltw/97STJvnvsm9f91uuy9K+XZtFfLso+990nT/vlp3Wp
  90zdcEOy//6b5vfffyib7rnPTa69NnnBC4Zuwte8ZtNrGzYMLWC//dtDj8lBB2167R/+YVj+L/5i
  6FWBrRmb0DUTp5wyhK1Fi5LDDkve+c7k/vef71oB3Pt86qpP5QlLn5B97rtPkuSaH1+Tv/ryX2X1
  a1fn+pOuz89u/Vk+culH5rmWd99HPpI85CHJxz+evOc9ydvfntxyy/DaLrsMX+7PPjv59reTb35z
  KD/66GG9971vGFv8rnfNX/3ZsY1N6Fq3bvN+98WLh7Lpjjgi+djHhulrrkm+973kEVsfigDAFhbt
  tShrblrzi/nrfnJdFu25aKvLnvWds37RtZgkX73+qzliyRF5wB4PyIJdFuS/POK/5EtrvzTndb47
  9t8/+cEPNs1v2fKVJN/5TvLkJw/TixYNXZFr1my+zP3vn/zmbyZXXTXM77NPUqORPs95zuZjjWG6
  sQldl1ySPPShQ/DabbdhEP25526+zOWXJ08btWYfcEDy8IcP4Wujqk1vDAA297gDH5fv3vjdrP6P
  1bl1/a056ztn5aiDj7rDcjf9/KZ8fvXnc/TBmwbWHrzfwfnyui/n57f/PK21XPC9C3LIAw/pWf1t
  Ovjg4cv65OQwLuvCC5PHP37zZZYuTb7+9WH6xhuHoSwPetAwqH5jt+F//mfyta8NLWIbl9voX/91
  825HmG5sHhmxYcPQt37++ZseGXHFFckJJwwDGt/73uSMM5IPfGBo8q1KXv/6TYPnP/zhZPny4a7G
  1auT005L/u7v5vOIAHYsC3ZZkHc8+x15xoee8YtHRhyy/yF591ffnarKCY85IUnyj1f8Y458yJHZ
  Y7c9frHury38tRz3q8flMe95TBbUghz2oMN+sfyOYsGCYazv618/fKY8+9nJsmXDF/iq5HnPS170
  ouTMM5OXvWxY55WvHAbTX3NN8pa3DJ83GzYkz3hG8pjHDMv8zd8k//7vwzYWLkxOOmn+jpEd21g8
  MmLhwoMyNbV6jmvEXJmYWJbJyWvnuxrATmzp0oVZu3ZqvqvBPbRkyUTWrJmc1zrMxiMjxiJ0AQDM
  p53qOV0AAONM6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA
  6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6GDX+a7ATCxceFCm
  plbPdzW4hyYmlmVy8tpZ3+7CxQsztW5q1rdLHxOLJjJ53eSsb9d1Md7m6rpYunRh1q51XYyrJUsm
  smbN7F8XvVVrbX52XNVmuu+qSjI/9WQ2VObiOquq5PRZ3yy9nB7XBXd0+txdFxddNOubpZMVK+bm
  urg7qiqttdqebeheBADoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDo
  AgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA
  6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA
  6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgC
  AOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoYJuhq6ruU1VfqapvVNW/VdWbR+X7VtX5VXVlVX2m
  qvaets4pVXV1VV1eVc+YywMAABgH2wxdrbX/TLKitXZYkl9N8pSqOiLJyUk+11o7OMmFSU5Jkqo6
  NMkLkxyS5FlJ3lVVNUf1BwAYCzPqXmyt3TyavM9onR8nOTrJylH5yiTPH00fleSs1trtrbVrk1yd
  5PDZqjAAwDiaUeiqql2q6htJJpOsaq1dlmSitTaVJK21ySQHjBZflGTttNXXjcoAAHZau85kodba
  hiSHVdVeST5TVcuTtC0Xm+W6AQDca8wodG3UWvtJVX06yWOTTFXVRGttqqoWJvnBaLF1SZZMW23x
  qOwOTj/99F9ML1++PMuXL7871QEAmBOrVq3KqlWrZnWb1dpdN1BV1QOT3NZau6mq9kjymSRvSvKM
  JDe21s6sqjck2be1dvJoIP2Hk/xGhm7FzyZ5WNtiR1W1ZdFd1SEa0sZZZabn+m5ttSo5fdY3Sy+n
  x3XBHZ0+d9fFRRfN+mbpZMWKubku7o6qSmttu24MnElL14OSrBzdgbhLkg+21i4YjfE6u6qOT7I6
  wx2Laa1dVlVnJ7ksyW1JXj3jdAUAcC+1zdDVWrs0ya9vpfzGJE+7k3XOSHLGdtcOAOBewhPpAQA6
  ELoAADoQugAAOhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQugAAOhC6
  AAA6ELoAADoQugAAOhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQugAA
  OhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQ
  ugAAOhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQugAAOhC6AAA6ELoA
  ADoQugAAOhC6AAA6ELoAADoQugAAOhC6AAA62HW+KzATExPLMjVV810N7qGJiWVzs91FE5k6fWpO
  ts3cm1g0MWfbdV2Mr7m6LpYsmciKFa6LcbVkydxcF71Va21+dlzV5mvfAAB3R1WltbZdLUC6FwEA
  OhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQ
  ugAAOhC6AAA6ELoAADoQugAAOhC6AAA6ELoAADoQugAAOhC6AAA62HW+KzATCxcelKmp1fNdDe6h
  iYllmZy8dta3e9DChVk9NTXr26WPZRMTuXZycta367oYb3N1XSxdujBr17ouxtWSJRNZs2b2r4ve
  qrU2PzuuajPdd1UlmZ96Mhsqc3GdVZWrYoxV4rrgDubyurjoolnfLJ2sWDE318XdUVVprdX2bEP3
  IgBAB0IXAEAHQhcAQAdCFwBAB0IXAEAHQhcAQAdCFwBAB0IXAEAHQhcAQAdCFwBAB0IXAEAHQhcA
  QAdCFwBAB0IXAEAHQhcAQAdCFwBAB0IXAEAHQhcAQAdCFwBAB0IXAEAHQhcAQAdCFwBAB0IXAEAH
  QhcAQAdCFwBAB0IXAEAHQhcAQAfbDF1VtbiqLqyqf6uqS6vqj0bl+1bV+VV1ZVV9pqr2nrbOKVV1
  dVVdXlXPmMsDAAAYBzNp6bo9yUmttUcm+a0kf1BVj0hycpLPtdYOTnJhklOSpKoOTfLCJIckeVaS
  d1VVzUXlAQDGxTZDV2ttsrX2zdH0z5JcnmRxkqOTrBwttjLJ80fTRyU5q7V2e2vt2iRXJzl8lusN
  ADBW7taYrqo6KMmjk3w5yURrbSoZglmSA0aLLUqydtpq60ZlAAA7rRmHrqr6pSQfT3LiqMWrbbHI
  lvMAAIzsOpOFqmrXDIHrg621c0bFU1U10VqbqqqFSX4wKl+XZMm01RePyu7g9NNP/8X08uXLs3z5
  8rtVeQCAubBq1aqsWrVqVrdZrW27gaqq/j7JD1trJ00rOzPJja21M6vqDUn2ba2dPBpI/+Ekv5Gh
  W/GzSR7WtthRVW1ZdFf7j4a0cVaZ6bm+W1utclWMsUpcF9zBXF4XF10065ulkxUr5ua6uDuqKq21
  7boxcJstXVV1RJIXJbm0qr6RIf2cmuTMJGdX1fFJVme4YzGttcuq6uwklyW5LcmrZ5yuAADupWbU
  0jUnO9bStRPR0sUdaelia7R0sTX3lpYuT6QHAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgC
  AOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDo
  QOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDo
  AgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA
  6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA
  6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgC
  AOhA6AIA6EDoAgDoYKxC15FHJpdfnlx5ZfL619/x9Qc8IPn0p5NvfCP59reTl7xkKN999+TLX06+
  /vXkO99J/vzPN61z5pnJZZcN63z848mee/Y5FmbPeUkekeThSc7cyus/SvKsJI9O8qgkfzcq/88k
  v5HksCSPTHLqtHVen+SQ0Tq/neQnc1BvoL+LL06OOy558YuTj370jq/fdFPyhjckL395cvzxyXnn
  DeU33JCcdFLy0pcO5Z/4xObrffKTw2fO8ccn73nPnB8GY6paa/Oz46o2031XVaparroqeepTk+uv
  Ty65JDnmmCGAbfTGNyb3vW9y6qnJfvsNr01MJOvXJ3vskdxyS7LLLskXv5i87nXJl740bO/CC5PW
  kjPOGP499dQ7rwv3RGUurrOqyvoMYeuCJAcmeVySszKEsI3elOTnSc5I8sMkByeZSrJrkpuT3C/J
  +iRHJHnb6N/PJXlKhm8lJyep0frMnkrm7LqYn99qzIa5vC4uuGAIW297W/LABya///vD58bSpZuW
  W7kyufXW5BWvGALYcccNgeqmm5Ibb0we+tDhs+SVr0z+7M+Gdb/5zeTDH07e8pZkwYJh2b33nvVD
  2KmtWDE318XdUVVprdX2bGNsWroOPzy5+upkzZrk9tuTs85Kjj5682UmJze1VO25Z/KjHw2BKxne
  JElyn/sMwevHPx7mL7hgCFrJ0Bq2ePHcHwuz5+IkD0uyLMluSY5Jcs4WyyxM8tPR9E+T7JchcCVD
  4EqGVq8NSfYdzT8tm94cv5nkutmuONDdFVcMv+MXLkx23TV5ylOGL+HT7btvcvPNw/TNNyd77TUE
  qQc8YAhcyfAlfunSofUrSc45Jzn22GG5RODizo1N6Fq0KFm7dtP8ddcNZdO9973JIx+ZrFuXfOtb
  yYknbnqtauhenJxMVq0auim3dPzxyT//85xUnzmyLsmSafOLR2XTvSLJv2VoCfu1JG+f9tqGDN2L
  C5MsT3LoVvbxtxm6J4HxdsMNyf77b5rff/9NwWmj5z43ufba5AUvGLoYX/OaO25ncjL57neTQ0e/
  MK67bhjS8upXJ3/8x5v3wMB0YxO6ZuKUU4awtWhRcthhyTvfmdz//sNrrSW//uvDt5wnPWn4me7U
  U5Pbbtt6Hz/j7YwMYev6JN9I8gdJfjZ6bZdR2XVJ/iXJ57dY988ztKD9bpeaAvPtIx9JHvKQYYzv
  e96TvP3tm3pKkmH6tNOGMLbHHkPZ+vXJT3+avOtdQ7fjm940P3Vnxzc2oWvdus373RcvHsqmO+KI
  5GMfG6avuSb53veSRzxi82V++tPk//yf5LGP3VT2kpckz3528rs+WcfOoiRrps1fNyqb7otJ/uto
  +iFJHpzkii2W2SvJc5J8dVrZ3yX5dJKPzFJdgfm1//7JD36waX7Llq9kuNnqyU8ephctGroi14x+
  yaxfPwSupz89ecITNq1zwAHJE584TD/iEUPPyk03zd1xML7GJnRdcsnQn750abLbbsMg+nPP3XyZ
  yy9Pnva0YfqAA5KHP3wIX/vtN/TLJ8NA+6c/fRj4mAx3RP7JnyRHHTUMnmS8PC7Jd5OsTnJrhkH0
  R22xzCFrb3adAAAOb0lEQVQZBsYnwwD6q5L8coZB9Rt/L96S5LMZ7lZMhjsi/yLJuUnuM0d1B/o6
  +ODhy/rk5NCzceGFyeMfv/kyS5cOQ1GSYeD8ddclD3rQMH/mmcmyZUPX43RHHDHcAZ8Mw2DWrzeu
  i60bm7sXk5YjjxyaenfZJXn/+4c3wAknDF2H733vEK4+8IHhTVM13I141lnJr/zKcEdK1bDuBz84
  3L2SJFddNTxS4kc/Gua//OXkD/5gbo555zV3dy+2DAHpxAzjs16W4W7Dd2e4C+qEDOHq9zK0iLUk
  pyQ5NsmlSV4yKtuQ5MVJ/r/Rth+WIcTtN5r/zSTvmvUj2Lm5e5Gtmcvr4qKLhkdGvOMdyYYNm3o4
  zj13+Hx43vOGFqozz0ympob1fvd3h7vcL700ee1rkwc/eFi2ahjzdfjhw81db33rMM5rt92SV70q
  efSj77o+3D33lrsXxyJ0LVx4UKamVs9xjZgrExPLMjl57axv96CFC7N6429Gxs6yiYlcOzk569t1
  XYy3ubouli5dmLVrXRfjasmSiaxZM/vXxd2x04QuAID5tFM9pwsAYJwJXQAAHQhdAAAdCF0AAB0I
  XQAAHQhdAAAdCF0AAB0IXQAAHQhdAAAdCF0AAB0IXQAAHQhdAAAdCF0AAB0IXQAAHQhdAAAdCF0A
  AB0IXQAAHQhdAAAdCF0AAB0IXQAAHew63xWYiYULD8rU1Or5rgb30MTEskxOXjvf1QB2YkuXLsza
  tVPzXQ3uoSVLJrJmzeR8V2O7VWttfnZc1Wa676pKMj/1ZDZU5us6A0iGz5GLLprvWnBPrViRef8c
  qaq01mp7tqF7EQCgA6ELAKADoQsAoAOhCwCgA6ELAKCDbYauqnp/VU1V1benle1bVedX1ZVV9Zmq
  2nvaa6dU1dVVdXlVPWOuKg4AME5m0tL1gSRHblF2cpLPtdYOTnJhklOSpKoOTfLCJIckeVaSd9Xw
  vAcAgJ3aNkNXa+0LSX68RfHRSVaOplcmef5o+qgkZ7XWbm+tXZvk6iSHz05VAQDG1z0d03VAa20q
  SVprk0kOGJUvSrJ22nLrRmUAADu12fozQPfoMbGnn376L6aXL1+e5cuXz1J1AADuuVWrVmXVqlWz
  us0Z/RmgqlqW5FOttV8dzV+eZHlrbaqqFia5qLV2SFWdnKS11s4cLXdektNaa1/Zyjb9GaCdhj8D
  BMwvfwZovO1sfwaoRj8bnZvkpaPplyQ5Z1r5MVW1e1U9OMlDk1y8PRUEALg32Gb3YlV9JMnyJPtV
  1ZokpyV5S5KPVdXxSVZnuGMxrbXLqursJJcluS3Jq2fcnAUAcC82o+7FOdmx7sWdiO5FYH7pXhxv
  O1v3IgAA20HoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDo
  QOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDo
  AgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA
  6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA
  6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgC
  AOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDo
  QOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDo
  AgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6GCsQteRRyaXX55ceWXy
  +tff8fXXvS75+teTr30t+fa3k9tuS/bee3htr72Ss89OLrss+c53ksMPH8of+9jkK18Z1vvKV5LH
  PKbf8QDQ18UXJ8cdl7z4xclHP3rH12+6KXnDG5KXvzw5/vjkvPOG8htuSE46KXnpS4fyT3xi0zr/
  /u/Ja16TvOxlyX//78ktt3Q5FMZQtdbmZ8dVbab7rqpUtVx1VfLUpybXX59ccklyzDFDANua5zwn
  ee1rk6c/fZj/wAeSz38++bu/SxYsSO53v+SnP00uvDA544zks59NnvnMIcw95Smzc4xsVJmv6wwg
  GT5HLrhgCFtve1vywAcmv//7yRvfmCxdumm5lSuTW29NXvGKIYAdd1zyyU8O0zfemDz0oUOoeuUr
  kz/7s2HdV70qefWrk0c9aghp118/BDNmz4oVmffPkapKa622Zxtj09J1+OHJ1Vcna9Ykt9+enHVW
  cvTRd778scdu+haz557JE584BK4kWb9+CFxJ8v3vb2oN22efZN26OTsEAObRFVckixcnCxcmu+46
  fMH+4hc3X2bffZObbx6mb7556CVZsCB5wAOGwJUke+wxhK0bbhjm164dAlcy9Jb8y7/0OR7Gz9iE
  rkWLhgt7o+uuG8q25r73HVqtNjb/PvjByQ9/mPzt3w5dj+9+97BMkpx8cvKXf5msXp289a3JKafM
  7XEAMD9uuCHZf/9N8/vvvyk4bfTc5ybXXpu84AVDF+NrXnPH7UxOJt/9bnLoocP8gx+8KbxddNHw
  eQNbMzah6+543vOSL3xhaA5Ohm80v/7ryTvfOXwLufnmIWwlyfvfn/zhHybLliV//MdDMANg5/SR
  jyQPeUjy8Y8n73lP8va3bz5G65ZbktNOG8LYHnsMZa9/ffKP/zh0V/7858NnDmzN2ISudes273df
  vPjOuwKPOWbzAZLXXTe0kn3ta8P8xz8+hLAk+Y3fSM45Z5j+xCc2DbAH4N5l//2TH/xg0/yWLV/J
  cKPVk588TC9aNHRFrlkzzK9fPwSupz89ecITNq2zZEnyF3+R/M3fDF2WBx44t8fB+Bqb0HXJJUN/
  +tKlyW67DcHq3HPvuNxeew1vmI1BKhneZGvXJg972DD/1KcOdzEmwzixJz1pmH7KU5Krrprb4wBg
  fhx88PBlfXJyuLv9wguTxz9+82WWLh3uZk+GgfPXXZc86EHD/JlnDr0iL3jB5uv8x38M/27YkHzw
  g8lRR83tcTC+xqYRdMOGoTn3/POTXXYZugWvuCI54YSkteS97x2We/7zk898Zmjine6P/ij58IeH
  wHbNNcnv/d5Q/spXDt2Ou+8+rHPCCX2PC4A+FixITjxx6A7csCF59rOHEHXuuUnVMDTlRS8awtXL
  Xjas88pXDl/mL700ueCCYfzWK14xLP/ylw+9IxdcsOmL/hOfOIwphq0Zi0dGLFx4UKamVs9xjZgr
  ExPLMjl57XxXA9iJLV26MGvXTs13NbiHliyZyJo1k/Nah9l4ZMRYhC4AgPm0Uz2nCwBgnAldAAAd
  CF0AAB0IXQAAHcxZ6KqqZ1bVFVV1VVW9Ya72AwAwDuYkdFXVLknekeTIJI9McmxVPWIu9sX8WLVq
  1XxXge3g/I0v5268OX87t7lq6To8ydWttdWttduSnJXk6DnaF/PAL47x5vyNL+duvDl/O7e5Cl2L
  kqydNn/dqAwAYKdkID0AQAdz8kT6qvrNJKe31p45mj85SWutnTltGY+jBwDGxg75Z4CqakGSK5M8
  Ncn3k1yc5NjW2uWzvjMAgDGw61xstLW2vqpek+T8DF2Y7xe4AICd2bz9wWsAgJ3JvAyk9+DUHVtV
  vb+qpqrq29PK9q2q86vqyqr6TFXtPe21U6rq6qq6vKqeMT+1ZqOqWlxVF1bVv1XVpVX1R6Ny53AH
  V1X3qaqvVNU3RufvzaNy526MVNUuVfX1qjp3NO/8jYmquraqvjV6D148Kpu189c9dHlw6lj4QIbz
  M93JST7XWjs4yYVJTkmSqjo0yQuTHJLkWUneVVXbNdCQ7XZ7kpNaa49M8ltJ/mD0HnMOd3Cttf9M
  sqK1dliSX03ylKo6Is7duDkxyWXT5p2/8bEhyfLW2mGttcNHZbN2/uajpcuDU3dwrbUvJPnxFsVH
  J1k5ml6Z5Pmj6aOSnNVau721dm2SqzOcY+ZJa22ytfbN0fTPklyeZHGcw7HQWrt5NHmfDL+jfxzn
  bmxU1eIkz07yvmnFzt/4qNwxG83a+ZuP0OXBqePpgNbaVDJ8qCc5YFS+5flcF+dzh1FVByV5dJIv
  J5lwDnd8o66pbySZTLKqtXZZnLtx8ldJ/iTJ9AHTzt/4aEk+W1WXVNXLR2Wzdv7m5O5FdgruwNjB
  VdUvJfl4khNbaz/byrPxnMMdUGttQ5LDqmqvJJ+pquW547ly7nZAVfWcJFOttW+Oztudcf52XEe0
  1r5fVfsnOb+qrswsvv/mo6VrXZKl0+YXj8rYsU1V1USSVNXCJD8Yla9LsmTacs7nDqCqds0QuD7Y
  WjtnVOwcjpHW2k+SfDrJY+PcjYsjkhxVVdck+WiGMXkfTDLp/I2H1tr3R//ekOQfM3QXztr7bz5C
  1yVJHlpVy6pq9yTHJDl3HurBXavRz0bnJnnpaPolSc6ZVn5MVe1eVQ9O8tAMD8Nlfv1tkstaa2+f
  VuYc7uCq6oEb74yqqj2SPD3JN+LcjYXW2qmttaWttV/O8Nl2YWvtxUk+Fedvh1dV9xv1EKSq7p/k
  GUkuzSy+/7p3L3pw6o6vqj6SZHmS/apqTZLTkrwlyceq6vgkqzPcsZHW2mVVdXaGO3VuS/Lq5uFv
  82p0t9uLklw6GhvUkpya5MwkZzuHO7QHJVk5ugNqlwwtlReMzqNzN77eEudvHEwk+YfRUIxdk3y4
  tXZ+VX01s3T+PBwVAKCDeXk4KgDAzkboAgDoQOgCAOhA6AIA6EDoAgDoQOgCAOhA6AIA6EDoAgDo
  4P8HcGk1PxReRKMAAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f7959a247d0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd8FMX7wPHPJCEkIbQAoRN6l95BDCKCoCAo9opgxfIF
  Bf3ZYkHFjoKCgopKsQMqvQQEFBAI0kMNoZMCgTSSu+f3x6STkEhOjpDn/Xrd62735mZnZ/eenZud
  3TMiglJKqaLJw90FUEopdeE0iCulVBGmQVwppYowDeJKKVWEaRBXSqkiTIO4UkoVYQUK4saYPsaY
  HcaYcGPM6FzeL2eM+dkYs8kY85cxpqnri6qUUiqnfIO4McYDGA/0BpoBtxtjGudI9n/ARhFpCdwL
  fOTqgiqllDpXQVriHYBdIhIhIinATGBAjjRNgaUAIrITqG2MqeTSkiqllDpHQYJ4dSAyy/TBtHlZ
  bQIGARhjOgC1gBquKKBSSqm8uerE5ltAeWPMBuAxYCPgcFHeSiml8uBVgDSHsC3rdDXS5mUQkdPA
  kPRpY8w+YG/OjIwxeqMWpZS6ACJicptfkJb4OqC+MSbIGOMN3AbMyZrAGFPWGFMi7fUwYLmInMmj
  IPoQ4eWXX3Z7GS6Vh9aF1oXWx/kf55NvS1xEHMaY4cDCtKA/RUS2G2Mesm/LZ0ATYKoxxglsBR7I
  L1+llFKFV5DuFERkPtAox7xJWV7/lfN9pZRS/z29YtNNgoOD3V2ES4bWRSati+y0PvJn8utvcenC
  jJGLuTyllLocGGOQQpzYVEopdYnSIK6UUkWYBnGllCrCNIhfoORk6NwZnnjC3SVRShVnGsTz4XSe
  O+10wm+/2eevv4ZDadevJiVBSkrunxPJ/sgqORnOns39cwWVkAAOh30+fbpweRU1Re1ceXHZLuri
  0CCe5sYbYenSc+cPHAgzZ9rX330HPXtC1aowdSoMHQpDhkDTprBjB9SqBddea9M+/DB8lOWGvM88
  A2+9Bc8+C+PGZV9GmzbQqhWsXWuf8/uSX301bNyYOR0VBf7+cPvtEBBgHw89BHfe+e/roag5exaq
  V7cH0KLC0xN++cXdpVCXiwJd7FMcbNsG27fbAJlu5Urb4j5xAmrUsMH3zz/te/PmwZgxMGwYxMfD
  HXdA27YQFgbffw/TpkHt2nDvvRARAX/9BUePQrVq9hEVBRUr2tbz7t0QFGQD/+bNsHw5+PlBw4ZQ
  vjwcPGgDlUkbYLR1K+zdC61b2+k9e2xr9JdfoGtXezBZsgQiIyEmxgb1gwftOpw4YYNI2bL2OS/p
  6S/UiRPg7W3LXKaMLd/hw/Y567oUxqZNNogfOWK3X5s22d/fsgXKlSvcerjazp32+fDh86c7dMjW
  038pLs5uh9Kl/9vlqPOLjYUSJWxDLDf795//89oSx7Z8DxywwTZddDT06gVvvglVqtgWdOXK8M47
  0K4deHhA47S/xnj8cRsUn38eXn3VtsBHjrStw44dbXD580/b1bJyJfz4I7RsCampNgBVqGCXU7Ei
  PPYYhIRAp07wyis2/549YdYs+zoxEY4fh2PHMssaEQG9e9sDQsuWtrx79tj1+v57G1Dr1IEVK+wB
  pGPH7L8SckpOhvr1bRC8EImJ9gBUrhwMGmTnbd0K3bpBzZrw2WcXlm9Wp07ZXy2DB9vpTZuyv5+Q
  AFdcYX8pXUoWLLDPBw/mnSYxEerWtc//pTfegPff/2+XofL34IPn3w7pcSAvxb4lvnatbe0mJ8OG
  DfDpp7a1mJJig/WoUed+xtsbvvzSHj0BmjeHZcvs627dbOscbEv37bfh6adty/yRR+CDD+yRNyoK
  5s6FXbtsi/2mm+xj/nyYMMG2Hv/+GxYtsmmmTrVBfsMGm/fRo/b52DFYuNCWYc8eG8RPnrTv3XGH
  zSspyR4w7rjDHnwOHICJEyE42AaLGTNsayy9+2X7dlsfL7yQ2T00YEDuLcNVq+wBx9MTwsOhZElY
  s8YGUcjsr96zxy4XbB1fdZU9CP7xBwQG2uc777SfnzoV2re367R2re2uKlXKdnf17GnzSD/gpj+n
  B/GwMNuiWbgQfH1h3z744Qdb33372oNzTIzNJ/3XwOzZ9iD8by4O3LvXrlu9epnz/vjD7jO+vvbg
  fOaMrdfffrN17+dny9OqlW1drVlj66BMGVi82DYa0rfp2bPw0092e91xx7nL//FH263XqpXdt/z9
  4bbb7C/E8uXtPpDegmvc2P7C3LnT5nf0KFx5pd0mgYE2zfLldjuuWWMP8uvWZW6Xq6+2+YLdznfe
  eW6rccMGe+DOqzUJdj+LjbWv27aFJk1sV2Xv3na/L1MGmjWzy61SxabbutU2BuLj7b5w++3n/wV5
  MYjYdTl1Cm65xTbC8rJypf11nL6v/f67raOrrrLTMTEwZ07m+qWmQocOdv/dv98uK70Bd54CXdQ7
  ccmlpkULkZEjRUqUsKccu3cXufNO+/qxx3L/TESEyI8/5p/3sWMiM2fa56lTRY4fF/nqK5FPPhEZ
  O1YkIMAup3//zM8cPmznPfdc5mnQRo1EypYVKVcuc96DD9r0Q4fa6Y8+Epk+XeTIEZFvv7XzFi8W
  GT7cvr7+epHHHxcJDRWZM0fk6adF6tcXefFFkU6dRHx8RGJibJ5ffSVy9dU2/SOPiHToIPLKK+eu
  35EjIp6eNj8Rkd69Rf73P5G+fUXGjxcZNkykc2f73rhxthw+PiI33ihy330iCQl2vZo2FTFGZMIE
  kX/+senuucd+rn17uz7Ll9v5Z8/a+bNn2/dApEkTW0dOp0iPHiLNmtn5t9xit6uvr8hVV4lUqCBS
  vrx9LzLS5uN02unmzfPfnlkNGpS5DdLVqiXy2Wf29b33igQHiwwZIuLvb9dfRGTgQJEnn7R1Wq2a
  res//7RlOHnSpvnrLzvt7W2fjxzJvpy4ODu/dWuRt98WadvWLvurr0RKl7b7Sblydtvdc49InTr2
  c9dea+umWrXMur31VlsHlSqJfPONSJUqNp/q1W1aY+x+eu21Nr8GDc7d91NS7OfGjs27vk6etNv+
  kUfs9r/6artP+fvb/Dt0EKlRw74eMybzc126iLz0ksiVV9q0c+cWeBP9Zw4ftvXcpInIl1/mnW73
  brudVqyw0xERdrpVq8w0n34q0qaNne/vL+LlJfLTTyJlytj965FHbJq02Jl7XM3rjf/icSkE8W++
  EVm0yAaoiAj7JW/fXqRrV1sbu3aJOBx2x0//Qv4XoqIyDxxdumTOdzpFAgNFliwRqVrVBp4hQ+yB
  5dpr7YZOD/wJCZlB6auvMvNYvNjO27HDrkutWiKTJ2dfvtNpA1+pUiIbNog0bCjy7ru2bjp2zP6F
  nD7dBq2FC0U2brTzxo+3X7YKFUQGDxY5dEjEw0PkiitsYD5zxtavv78t24gRtkxt29qg1bixyF13
  ZR6UHn7Y1vnQobZMffrY5QQG2i99esB+7TWbtndvu4P7+oqMHm2Dy8iRmQdGEHn/ffv59u1F9uyx
  8ypUsM9//y3y8cciBw7YcpcpY+tkyRIbZBMSct9uf/0l8tBDNsB27Ginn3pKZO9em2+9erZ8Zcva
  bVO6tD2ABwXZum3TRuTnnzPL+L//2fUAkWXLRF54wR4A0t9v1kxk/vzsZVi1ytafr68NJMuX23Ut
  VcqW7corbT2KiKSm2vmvvmrXMz3fEyds3VxzTWbDoXXr7M/p28XT0zZERGz5XnxRJCnJ1vvDD9uD
  ZYUK9mD8448iBw/atLt32wP8iy/aQNysmZ2/c6etp/r1Mxscf/5p9zmwB9zvv7f7V3rQq1hR5MMP
  7UHn889F4uPt9KefZtbL+PGZ02vW2DxF7L6/eLEt64cfinzxhd2Xn3jCNqzSffed3QYLF9rpH36w
  +/VPP9mD/s8/2/1l3jx7EHrmGZG33sq+bSIjbfqDB0V69rT1kr4t3nzTfo/Klxd54w37vejUydaR
  n59NW6GCrf/0A206DeJZBAXZI76vr8gNN9gaMEbk+efthk63bl1my/S/snq1yPbtIvv3Z5+/YoVt
  ca5YYQPxrl12Z9q92+5EU6falsuMGSK9etl8zpzJ/PzmzXa9YmPt9Nq1ma+zCguzO6rTab/46V/c
  QYOyt/62bbNfuH79RG6+2QY4Dw8byL780rbC3n5b5Lrr7Ofvvdd+LiUlM8/OnW0wuekmW1Zj7LxX
  X7Xv79kj8s47mctv1couJ/3zw4bZAGiM/fKB/VI0aWK/mBs32gNRevoPP7Rf0A4dMr9EK1fadWnX
  TmTWLBucnnnG5uvvb7f3PffYz69fn/s2697dHpB+/tmuz9Chdl/q398u6+uv7S+tefNssJ071x5I
  33/fBt6AABsQv/5a5L33bOMhIMAelPr3t3mlr0PVqvYAkbOF+8knIg88YNe3Th2bf3y8DVbHjtkg
  efSoSIojRURsuSpUsL8K0/P+9dfMgD1vnm1IlCljg0rWX3wREXY90v3wg8gN/VPl++/tZz/5xD62
  brVl8fa2dSpiy+jtbdfJGPsLTUQkMdHuPwEBdt/74w/7fOaM3bfTf4VUq5Y5PXy4SHR0ZiMmJMQG
  vkqV7GcPHLDBsVw5u+7BwXafdjrtfG9vm0fFirbxlB4DXn/dlun0abs9vb1FSg27XpaEr5QyZWz9
  lytn97kKFez0W2/Zg++779rnrP73P7teTz5p9+NNm+zyExLs9+OXX+xyS5Sw61K5sv2eLF0qEh5u
  44GPT2ZdpSsWQTwqylZwbvN797Ybdd26zJ3zlVfsc9my9vmHH/6zornc/v12Q1epIjJt2rnvp+/s
  TmfB8xw8OLNutm3L/l5Kit3BK1bMDFienraFn5pqd/JatWxXTeXKtjWbLmvrt2/fzC94o0a2xbJ9
  e+aX2eEQqV3btrSqVrXvlS1rv1jHj4vcfbf9uZmYaPMbN84eWNK33fvvi3TrZtNHR9t5t91mu2my
  uu8+2zIEu16DBtlWYvv29uDh72/LNnSoDW7pj86dbdBITrb51Kljp9MPRI88knf9Op3214KPT+Z2
  OXLEfq5Hj/SfzJn7Ze3atr6mTrXbuX9/e5BbvdoGx48+sq3Sl15Kz98pSSlJGctbsX+FBH8VLCK2
  df7443a5lSvb70LNmjYIlixpt8WIEfZA+dRTtsXao0dmgMxq8YZw4enKUqnhXpk6Nft7L78s0qBJ
  kpQu45QuXeyvkPr1M9fp0Ucz01apYpeR09mzdh9r1Ejk//7P7l+lS9uGiIhtBDRubA8Cjz9u962/
  /hJp2dJ2P9x3n32/YkX7WL7c7qtlytgD3eOP22mw261cOdvyf+EFkfqNk6Skj1O8RtSXan2+kUaN
  bNpGjex+17ChLUvlyna7fPutbUR07Zq5j/iXdkr9xkni5WUPbE6nU3r1SZLu3W159u2zn2nVynat
  jRhxbh3ccYdtVGZVLIL4r7/aik5Kyj7/o49si/vBB+2X1MvLrvX+/bbFumCBnQ4P/8+K9p/4+2+7
  Y+cVqA8d+nf5pfed792b+/uDBtkdeOdOG/juvtv+JBexX4LatUUSzybL3oizGWU6k3xGDh60X56/
  /hI5dSqz3/fgQZHEs3Zj7TtwNiMAHTpkt6GXl8jvv9uf++n91y+8kNl3ffSo/cIfP57ZT56cbOen
  /5wXsWVMTMy+LqNH2wN7y5Y2kP3vfzZgpR/E+vWzvyZq1bKt96yPiIjMfNJ/EcTG2l8C6QeOvBw5
  cu4BMv1ziYm2jhwOG2Dfe8+uW1KSbQl36HFMKBEv119vg8HW8HiJisrs9lmwe4H0nNozI9+QZSFS
  7T37mzw21rY00+s9Jsauy+p1ZwREul2VLMeikiUuzm6f9Oes9ZjuldBXpNwbFaX/5AcytnOqI1US
  UxIlJUWk99Tr5eNFs2XpiiTZscMp0dGZXXpjx4okpyaL0+mUjh3PbXSlH4giI+3yzyTao2X69hex
  ZYs5HS/r1tk6u/pq+72+5x5bF8dj4zO20/Dh9r1rr83cVxMT01r3Hmcl4lCSbAxzyLCHkwVEmr4d
  LLPClknJ10rK8GnvSUyMyJYtdvts3Wqft22z2yMpyXaPYRxyx70JsnRFkqxcKTJ23jS5+ovesnWr
  Xd7SvUulxxe9pFcv2yA5nXRG+vSx+9epU9njVXJqsjicDjl5UuRodHy2ujlfEL9shhiGhdkzu9u3
  25EXb7xh53/9NQwfbof8/fOPHQESFGTHUjdvbs/E16xpRxk4xUliSiIH4w4Slxx3zjIcTgdnztp/
  nYtLjuPAqQO5luVU0qn/bD3TtW1rR3DkNd66WrV/l1+VKnZUQ506ub8/dKitq4YN7WiJjh3taBmw
  oxqGDIGXQl/gh8gPOH02jrCjYTT9pClVqznx87Ppy5Sxo0CSU5M54RmG7xs+rDm4hh8jxzFiwYiM
  cpcsabflDTfYkRXp47ybNrW3OgA73LNECahUKXOUkLe3nZ91FE3FiuDjc+66rlljR0LcfrsdJdGy
  ZdqbXsl06erg22/hnnvsyIKsj8BqSSSnJgNw812naNbMjp6o2ySOgID867hJk+zzWrWy4/h9fGwd
  nT57is6d7XpXqmTrom2HZNYH16Dco9ezam0CbdoKzaaX4pTHXnx9bT7L9i1j24ltGfmuilzFkdNH
  OOs4i3ephIxRI9WrQ0n/BLxrr2PY2o4ApHQNYczaZyhd2m6f9OfAKimkOFKylXfWjlm83jOEHYl/
  ZOx7E/+eyONzHyfBEUd47Fb+SfyNhze1YG3St/iWTiTJkUD7Lok0aSIMmDmAyRsm07QpNG53lNPJ
  p0lMsWMpF+9dTNNPmlK20mm8/RLxH1uSOTvnULpi5vepdGloO6U5AfX2ZtRZWBg8+Hgcu+M202N6
  Bxq0Oo5fxSiGDIENmxPp0CFzX/XxgR49IODG13lr4/8Yt/8BojoPo249ITJ1PWGxy0l2JONd4RAn
  nOE0aeokIMDuewEBdvt16WK3S5UqQKcPmF7Hj6uX+hBdcQ4Lj3/BmiMradg4lYSUBMKjw/nnxAae
  eEJo3TWKWh/WpGbzCDp2FCgZR8mSmXU7+IfBNP+kOWXLQo8Z7dgds/v8O1S6vKL7f/HAxS3xrCef
  br7Ztqref9/+/KlUK1qWLHFKlTrREp+UJKeTT0tCgkhsfJwkpybL6eTTEhUfJSK2NRuXFCfvrX5P
  gj4IEq9XvWTgzIEScTJCohNs8+pk4kmZ9s80uWH6DSIicssPtwghyPEzx7OVKS4pTkq/UVoOxf3L
  prCInEo6dYE1UXiTJ9s+zvNJb3llbf1HxUeJ0yly4kyU9JzaU9pOaiuNPm4kX2z4QghBlu9fLiIi
  h+IOycFTtmn38rKXJWBsgBCC+L/hLzXfrylNJzSVFEeKxJ+1LRCwfdWpqbZvd9vxbeJ0OiU6PkYc
  TkeB1+t08mlJdaRKXJLd7nFJcTJjhs1/+P9FyvEzJzLWadIkEb/b75ebJjxvRxWERcqJ+BPZ8hv+
  +3B5cemLkupIlZrv15Rle0Pl9/DfhRC7byenJmesw/mk73tZRZ6KlFJjSklc0uls88OOhEn9j+pL
  hbEVhBBkx/HdQgjy1h+ZZ9Wu/OJKIQTZFb1Ljp4+KhXfrih+Y/xk2j/TJPCdQDl25phsO75Nnlv8
  nBCCvL3ybfF4xUPwSpDar3eWwHcCM/rQz6aelYSzCfLwrw9LiVdLyKajm2TLsS1yMvGklBpTShLO
  JkiZN8vIwVMHJS4pTm7+/mZp+HFDKfNmGZtnCFL/o/pCCFL13apCCBnl9XzFUzpN7iThUeHi87qP
  tJrYSsq+WVb2xe6T91e/LyVfKykmxGR8pvXE1lL+rfKy5dgWcTqdcvzMcfF4xUN+3vaziNhW/uq9
  G6XZhGYyc/NMMSFGqr1XTQLGBsiI+SOEEMSRY3dxOp1Sd1xdKfdWOanybhUp+2ZZ2XpsuxCCXPXl
  VUII4v2atxCCzA3PezjMiRMiBL+cUdYm45tI1yldpe64urL+8Hq5f9b9UvvD2kII8vn6zzPSTdkw
  RZbsWSptJ7XNll/DjxsKIchfkX+J3xg/mb8r84w2l2NLfNMm2xrNOj18uL2qsm5dSL2jF3eOWofX
  kGso9ZYPXaZ04YzzBI0/acBN39/E9dOvJ+jDIPbG7kVwUvGdioxcOJIGFRow+YbJLNq7iKAPg3jw
  1wcBuH/2/YxaNIqwo2GcTDrJpqObqFGmBqsjVxObaAe/xibGMnvnbE6fPc3mY5vzLPuxM8eyTZ9M
  Osm+2H3UeL8GC3YvICElgZjEGGISY7Kli0mMST8YZjjrOMvp5NPnLCPFkZLrr4msohOiSXGkcDLp
  JM1bOOjdG1KdqUQlROWa3hj7a+VEwnHAvm40vhEbjqynxcQrWBGxgvVH1rMzeidL9i2hvE955u6a
  y7Ezx+g8pTMdJ9uW3/KI5cQkxjDp+kk81v4xIuMi2X5iO0EfBtHrm16cTDpJjx7211RschT3zrqX
  lhNbMm3zNAZ9P5DJGyaz4cgGHE5Htro56zjLqaRT2eqt1cRW9Jjag6G/DuW6adfRZEITatSPpVyj
  f/jS9wpaTmzBifgTRCdGUbftXlIa/MRfCd9yx51OBi1sTdvP2uIUex+EVGcq3239jh1RO1h5YCWR
  cZEM/P5Grp9+PQDh0eEM/mEwvb7pla1sAFuObyHsaBipzlR2RO2g1oe1Mvab4/HH2R2zm++2fEd8
  SjzrDq8lNjGWmMQYUp2pbDm+hTZV2/BMl2cAWBaxCIA54fb/ysOOhrE9ajvlfcrT4OMG3DDjBk4l
  naJF5RbM2jGLxJRE2n3WjuCpwSzaaz87a+csnOKkcsswjskmypQsw6oDq0hMSWTgdwN5dvGzbI/a
  jl8JP+76+S66fNGFMX+MoXXV1viW8KVbrW70m96PJ+c/yaoDqwiPDicuOY7KpSpza7NbWX7fcppV
  asaRM0cy6mDyxslc3/B6/L39afpJU/o26EvkqUhOJZ9iwtoJhEeH80L3F7ii8hUAVPWvypbjW4hN
  imXGlhks2rsoY3usPbSWpNQkkh2J7Dm9he1R29l6YiuCkOJI4bUer/Hbrt8AOzYe4ET8CUSEbSe2
  kepMJcWRwr0t76VD9Q68vfotPI0nyyOW4+3pzVmHvZnRvpP78vz+BARAvXo282e6PMO2x7axcshK
  etbpyaoDq9gTu4f9J/cDMHOLvXfH1XWu5oE5D3D3rLvYeHRjxnc0LjmOQ3GHeK7bc0zZOIWElAQi
  4yLZf3I/6w6ty7MMUIQv9lm3znadrFljg8vBg/Yy+LFj7fvlx+7lg6/2cs8v9rLDo2eO8vDvD5OU
  msTcXXMzvpgNPm7A6K6jOes4S+96vfn9jt/x9PDkxWUv0qhCI8KjwzkUd4gdUTs4dNre6arKu/ZK
  hFFdR/Hx2o+58bsbOTLyCFXfq0pgqUDqB9RnRcQKugd1J9mRjI+XDz5e9jd9YkoiDcc3ZOX9K6ng
  V4EKvhWo/1F9qpWuRkW/ivSd3pfmgc3ZHbMbT+PJlwO+pFbZWrSp2obWk1pzR/M7uL7h9QSWCsTH
  y4cn5j+Bh/Hgpe4vUa10NQQhsFQgQ38dyvH448y7c162eotKiKKin/1tWemdStzS7BbWH1nPw20f
  5s03R/Lpus95dO6jyMuScXBpXbV1xucX713MY3MfY8djO1i2fxnRidGMWzMu25cVYNrmaQxrM4yv
  N33NJ+s+oYRnCduNEn+Cvw//zX2t7qN3vd5sOrYJg2FYm2Es3b+UdYfWUfODmhyedxh/b39aTOxB
  tdLV+KTfJ3yx8Qv+OvgXfxz4A39vfx5o/QDPdnsWLw8v2n3WLtsXbuFdC7mi8hUcjDvIntg9+Hv7
  c+bsGar4V+HTA8PpHnKG3vXGsDd2Ly0ntiQp1d58ZXiXB5izcw43PvcTqxaVonTJ0szcMpPbm9/O
  0n1LSXYksyd2D/N2z6NppaZsO7GNwU0HM2fnHFpPas01da/B29Obd1a/wwOtH8Df259dMbvoOLkj
  ZUqWoap/Vfad3EdCSgKzdsyibbW2XD/9euKS4yjpVZJutbqxeO9ien7dk8qlKjOoySDKlixL80rN
  Gd1tNLtjdrNo7yI6VO/ApqOb2Be7jxeXvchrPV7jkd8fAWDj0Y1ULlWZoLJB/Bb+G6/2eJWNRzcS
  clUI9QLq0eDjBqyOXE1w7WAcj43Gy6MjNcrUIHhqMACVS1Vm/8n9RJyKIOKpCAJ8A3h+yfN8tPYj
  nuz4JACDmw7m/tn3c+TMETyMBz5ePiSlJtEssBkzb7YBa+NDGyn1RinubHEnV9a6kgfmPMCQVkN4
  7srneHnZy1xb71q61+pOCc8SvLP6Hfaf3M+vt//K012exneML3XK1yGoXBAGw+QNkzl25hiRcZEA
  vLXqLY7GH+WrsK8ytvnvu37Hy8OLLjW78Gj7R3mk3SP4jvElISWBsKNh9J3Wlxe6v0CZkmW4Kugq
  qvhX4f5W99OwQkOGzhnKoCaD+Gn7T/Ss05N5u+dxbb1r2Rm1kz8j/6RdtXZEJUQRmxRL00pNMxoM
  fW+K4pcdNRjYeGBGObrU7MKCPQsyultrl6vNsv3L+HLAl3St2ZWG4xty+LS978KfkX/SPLA54dHh
  tKzSksFNB9P9q+4AHDh1gK5fdKWKf5XzxsIiG8TTr9Dr2tU+t2wJXmlrczr5NCeTTrJ8/3Iq+lWk
  ddXWLN23lDUH1zDm6jEMnzccgAGNBtA8sDnj1oyjkl8l5t81PyP/x9o/RofqHegzrQ91xmV2FFf0
  q0h0QjTNAptxU5ObWLZ/GQDzd9vP3tPiHoLKBfH4vMfZHrUdgGRHMh9f9zF1y9dl7q65xCXHMWn9
  JCZvmEy/hv2ISYwhOjGaNUPXMH7teL755xuCawfjYTwY/MNgyvqUpUftHngaT9YdXseKAyvYfmI7
  nh6edA/qztxdc5mzcw5X1rqSPw78wec3fM7CPQtJTElk7q65tK/WntIlSxN2NIzuX3Zn9QOruSLw
  CgThu63f0bJyS2ZsmcHILiM5mWQv95y3ax4frf2I+bvns/eJvdQpb+tg09FN7I7ZzeAfBvPLjl+o
  Xro63/7y/15mAAAgAElEQVTzLfUD6tOzTk8mrZ9Er7q9OOs4y/2t7ufzDZ8D0L9Rf46eOcrIhSNp
  XaU1Xw74EoCyPmV5tP2jjO87Hqc4CRgbQFxyHHN2zqFF5RacTj7N/Ifnk5CSwLBf7aWwQ1oN4aWr
  XqL5p81ZEbECLw8vGlVsRNNKTfl91+92+819jF0xuwAY3n44X4R9AcDUG6fyxLwniIyL5JuB3+Dt
  6U10YjTVS1enZeWWDG42mNikWN5Z/Q5da3Wlf8P+jFg4gl3Ruwg7FsbjHR5n/NrxVPGvwlMdnyLs
  aBgT+k2g3/R+rDqwil9u/YXIU5G0mNiCT//+NOOL3Lteb+5ucTd3/XIXBkP7au15e/XbHD59mNFd
  R9O2alv+Pvw3jSo24qVlL9l9qeU9fLf1OxJTEvnxlh8BaB7YnBeXvcgNjW5g7aG11P2oLqVKlGL6
  oOkZB6l7Z91L1dJVaV+tPd9t/Y42VdswovOIjH34tR6vcTLpJAG+AUz8eyITr5/IrB32ssDGFRsz
  46YZtJ7UmuaBzQnwtR39XWt15Y2Vb3BLs1sAGNh4IH9G/slnGz7jpiY3sT1qOy0rt+SqoKsyllPC
  swSNKzameaXm1CtfL6P8AK/0eCUjX4AWlVtw5ZdXUq98PXy8fAgsFUhV/6r0bdCXWmVrsWzfMt5Y
  +UZG2kNxh/h+6/fZYsKGIxt4tN2j9KxrL+s1xhBYKpCftv3EUwue4sG2D/LO6nfoU78PXWt25aF2
  DwFQ2b8yqyNX806vd3CIgzFXj2He7nlcV/86Ri4cyUdrP2Jiv4m8tuI1ElIS+OmWn9gVs4uft/9M
  Bb8KvNnzTTrX7JxRjq41u/LC0hc4Hm9/sT7e4XFGLhxJ88DmNKjQgLl3zKXv9L5U9a/KUwueAuDR
  do/SIrAFDSs0zDjvtiJiBQbD38P+xuOhvDtNinQQr1MHGjSwP5eqVs18L/1ovWjvIjrV6MTMm2fi
  O8aXHnV60K5aOwCe7fosD7R5gPoB9QmPDj+nC2F0t9EAlClZhqiEKAJLBTKw8UCaBzbH29Ob+LPx
  tKzSkj/u/4NHf3+U2Ttnc2WtK3nnWtui2H5iOysOrGB3zG4GNh5Ip8md+POBP3ltxWv0qtuLCesm
  MKrLKMKOhTG5/2QiTkbQoXoHvh74NbXL1eaRdo/g5eHFayte46lOTzF87nDeuuatjC/RrB2zOHL6
  CI+0f4Q3/niDwFKBPPjrgwT4BnD/7PsZ0WkElf0r83Loy/h7+1O9dHWmbZ6Gh/Gg/eftub/V/ZTw
  KMFtzW/jg94f0GlKJ2bvmM2+k/toU7UN98++n/iUeK6rfx2/7PiFh9s9TFxyHKsPrqZ3vd4kO5L5
  v27/R8+6PXlq/lN0q9WNCX0nMG3zNJ6/8nmuqn0VDqcDXy9f+jfqz63NbuW38N+YvmU6Gx7ckFHP
  5XzKMb7veAA8jAcjO4/Er4QfY/4YQ53ydXig9QMYYyjlXYo5t83hWPwxhrYZCkDrKq3548AfAHx2
  /WcMazuMphOackPDG5i6aSqtqrTinhb30KteL2qWrcn+k/vpHtSd6TdNZ+GehZQpWQYg44CSrlP1
  TnwV9hUjOo/g1ua30qpKK56Y/wQlPEpkBPEVESsY12ccw9raA0u98vVwihMP40FQuSC61OzCjqgd
  XBV0FcsjltM8sDkDGg/gf53+RwXfCvRt0Jcrv7ySYW2G8X9X/h8Avev3zugaCa4dzNu93qZ/o/6E
  7g+le5BtnbWv3p7TZ09T1b8qU/pP4WDcQUp6lqR0ydI83eVpAJ5b8hzVSlfj8Y6Ps/n4ZtpWbZtt
  /W5rflvG6/T9qXlgczyNJ38P+5tS3qV44coXGNxscEa6brW68Vj7x7gi0HZ1lPUpy6QbJrFo7yK6
  1OxCx+odGdB4AA0rNMy2rKFthtKjdg/K+5bPWE5uutTswnX1r6Nu+boA1Cpbi6r+VRnS2t78pntQ
  d+KS41i4dyHtqrZj+X3LCRgbwJMdn2TcmnEMbjqYk0knebXHq1Twy7wOPrBUIOPWjGNUl1GM6jqK
  CesmsGzfMkZ0yjyolfMpx+T+kwH45dZfSE5NZnj74bSu0hqnOKkfUJ/nlz7PdQ2u4/bmt3P/7Ptp
  WaUlqyNX06F6Byr4Zr/uvn5AfY6eOYpDbJfajY1vZFf0LppVamb3lQB7QHuq01OMXmzjTGhEKFfX
  vppS3qWo6l+V2KRYlkcsZ3DTwZj87haXV2f5f/HAhSc2K1e2Q9A2bLDDtDZsyHxv/q75GScRQpaF
  iIhI7Q9ry6frPpWEswny9IKns+W1MmKlTA3LMeg1TcfPO0rpN0pL1yld8yzLhLUTxIQYuW/Wfdnm
  bz62Wd5e+baIiLy+/HUp91Y5uWH6DXI47rA8v+R5cf6bgdz5OJN8RkyIkafmPSWvLX9NdkbtFBGR
  xJREKftmWWnwUQN5NfRV+WbTN/L68tcz6ifdyoiVUuXdKtJqYitZsHuBrD+8Xj748wN58483hRDk
  wTkPZjvxktV3W76TxXvslVIvLHlBTiaezHjvxaUvZpwcXLRnkczYPCPfdXE6nfL8kuflvln3ZRv7
  nNOzi56V0m+UFkKQrcftmK5Jf0+SDYc3yJQNU2TD4Q15fvZ8DscdlpELRua5fbp/2V0IQVIdqRnz
  Fu9ZLD9t+yljevn+5fL9lu/F6XRKwNgA+XLjl+fk89FfH2Vsp3RxSXFCCHLPL/fkumyH0yGEIENm
  Dcmz/J0nd5aHfn3ofKt4juiEaHl+yfP5J8zh3VXvyu7o3fmmczgd8uS8Jwt8UnrgzIEyZsWYc+bf
  8sMtGeUcvWi0HDtzTLxf85bVB1bnmk+fb/sIIWTUc/NPmovnK57n3a/S7YnZk3ESmBDkm03fiIjI
  g3MeFEKQ0m+UFs9XPGXtwbXnfLbrlK5CCDJi/ghJTk3O9l5yarJ4vOIh/xz9R55f8rx0+LyDEIKE
  7gsVEZFuX3STftP6Sb9p/eS3nb+JiAvGiQN9gB1AODA6l/crAPOAMGAzcF8e+eRbcQWRkGAvUsh5
  1lnEBs5P130qVd6tIoQgC3fba2jfW/2eRJ6KPPcD+Zi8frLM3DxTpmyYkmeabce3CSHIk/OezDNN
  iiNFnl7wtBw5fSTPNIVVb1w9mbx+8jnzP133qaw/nP0SxCbjm2QL4iL2S0EI2b6U+2P3S7vP2knJ
  10pKn2/7yIj5IyThbB7XpF9kG49slMnrJ8vIBSP/1YiVwtobszfXAJOX91e/LxEnI/JPmCbwncDz
  BtQP/vxA1hxck+f7t/5wa0bjpaj6fsv3ua7jrO2z5I+IP7LNeyX0lTxHdvX4qocQQsYBecCMAdJk
  fJMCleFs6lkZtXCUbD2+VQhB9sTsERE74mnUwlHy0K8PZZufVdiRMBm7Mu+bybyw5IWM79EPW3+Q
  m7+/WeKS4kRE5N5f7pXRi0ZnS1+oII69Xe1uIAgokRaoG+dI8zLwZtrrikA04JVLXgWqvPzs2GGv
  BMvJ6XQKIUi7z9pJ7296CyFctGF7UzZMkX+O/nNRlpWXT9d9WuBgsf7wevns7+w3h0lKSZKXl72c
  MdQs3dHTR4UQ5IetReiy1iKs8+TOMunvSRf8+dk7Zp83yBcnNd+vma2xMmL+CBn8/eB/lUeKIyXX
  X87L9i37T2LMgt0LMobmpjtfEDeSY8haTsaYTsDLInJd2vSzaRmOzZLmIeAKERlujKkDLBCRhrnk
  JfktryAWLLD39V68OPv8/Sf3U2dcHar6V+XJjk8SlxzHmJ5jCr08Ba+veJ2RnUfiW8LX3UW57E3f
  PJ0O1TtQP6C+u4tS5C3dt5TTyacZ0HgAAH8d/ItTSafoXb93ofN2OB08t+Q5xl4zNv9+60IyxiAi
  uS6kICc2qwORWaYPAh1ypPkcWGKMOQz4A7deSEELKiLCXnWZ06oDqwA4cuYIdcrXyThpowrvhe4v
  uLsIxcYdV+RyA3F1Qa6uc3W26U41Orksb08PT97u9bbL8rtQrhqd8hywSUR6GGPqAYuMMS1E5EzO
  hCEhIRmvg4ODCf43d+JPs2WL/eeZnObunks5n3KcTDpJYKnAf52vUkpdCkJDQwkNDS1Q2oJ2p4SI
  SJ+06dy6U+YCY0RkVdr0EuwJ0L9z5PWvu1MOHLD/lJKaav+RpFEje0XmihX2Ph7pElISqPZeNR5t
  /yhvrnyTrY9upWmlpv9qWUopdSkqbHfKOqC+MSYIOALcBtyeI8124BpglTGmMtAQ2HvhRc7UoYO9
  iCc52f5FV5kydnx4wxw97r+H/07HGh0zxqFqS1wpVRzke+8UEXEAw4GFwFZgpohsN8Y8ZIx5MC3Z
  m0A7Y8wmYBEwSkRics+x4BIS7H8FVqxo/2x42TL7b/D33ntu2plbZ3Jbs9sILBWIh/HIuNJMKaUu
  ZwXqExeR+UCjHPMmZXkdBdzg2qLZrpSaNeG99+wtKOvUsX/8e3vO3wHYs87vX/s+p5JPUcmvEh6m
  yN7bSymlCuySvew+NtbezKp27cx/OAd49NFz0yakJBCdEE2NMjWoTnWm9J9y0cqplFLudMk2V+fP
  h6++It8b7QPsjd1L7XK18fTwxMvDi34N+/3n5VNKqUvBJRvEY9J61FNT80+7J2ZPxk1llFKqOLlk
  u1P274cRI+Cll3J//1TSKb7e9DWJqYn8vP1nOlTPef2RUkpd/i7ZIB4RAYMG2f/6y826w+sYtXgU
  nsaTj6776Jwrs5RSqji4JLtTUlNhz57sl9afiD/Ba8tfy/h7sj0xe0hKTaJ+QH2GtB5C7XK13VNY
  pZRyo0syiI8aZYcXZr2g59fwX3kp9KWMf/PYHbObEh4l6Fqzq5tKqZRS7ndJBvGdO2HKFKhQAZ5Z
  +AyxibGsObiGVlVaMXvnbAD2xO7hwz4fZvzNk1JKFUeXZBBPv0thTGIM7/75LjO2zGDJviWM6jKK
  1ZGrcTgdbD6+mc41Omf86a9SShVHl1wQF7EjU4KCYHXkakp7l2bkwpE0qNCAW5vfSkJKAi0ntqRW
  2Vq0rNLS3cVVSim3yvcuhi5dWAHuYhgdDfXq2XumjF40Gh8vHwY0HkDjio3xK+HHnpg9HI8/zhWV
  r8Df2/8ilVwppdznfHcxvKSC+IIFMGmSHZkSFiY0+LgB3938HW2rtc3zM0opdbk7XxC/ZLpTROCp
  p6BtW/j0U1h/ZD3GGNpUbePuoiml1CXLrRf7TJgATZpAeLi9zP5Eg3epN6AmXZrfytML7a1l/+v/
  rlNKqaLMbd0pKSlQvTpccQVs3QrHjkG1kPZ4lT2OU5zEJsaydtha/XcepVSxV9h/9vlPzJ8PtWrB
  jh3QsJFwfJg/h0mgptTkk76f0K1WN8r7lndX8ZRSqkhwW0t88GC45hp44AHYHRtOk08aEVgqkCMj
  j+gfOiilVBaX3OiUlBQoVw6un3I3O07+wz/H/mFQk0H8OPhH7QNXSqkcLrnulJ07bX/4qsPLOHT6
  EIGlAgkOCtYArpRS/5JbgvimTdCipZMFyaeIGRWjfd9KKXWB3NL5vGkTBLU4QNmSZTWAK6VUIbgl
  iB8/Ds6A7TSp1MQdi1dKqcuGW4K4CMQ4I6hdtrY7Fq+UUpeNAgVxY0wfY8wOY0y4MWZ0Lu8/bYzZ
  aIzZYIzZbIxJNcaUyys/EYh1RFKzbM3ClF0ppYq9fIO4McYDGA/0BpoBtxtjGmdNIyLvikhrEWkD
  PAeEisjJvPJ0OiHGEUmtsrUKV3qllCrmCtIS7wDsEpEIEUkBZgIDzpP+dmDG+TIUgejUA9Qsoy1x
  pZQqjIIE8epAZJbpg2nzzmGM8QX6AD+dL8P0lrh2pyilVOG4epz4DcDK83WlhISEsHkzRB89wO52
  u2l4bcO8kiqlVLEUGhpKaGhogdLme9m9MaYTECIifdKmnwVERMbmkvZn4HsRmZlHXiIiDL7FyU/N
  vEh9KVXvk6KUUvko7J9CrAPqG2OCjDHewG3AnFwWUha4CpidX4apJoESxkcDuFJKFVK+3Ski4jDG
  DAcWYoP+FBHZbox5yL4tn6UlvRFYICKJ+eV5lnhKepQqTLmVUkpRwD5xEZkPNMoxb1KO6anA1ILk
  l2ri8dEgrpRSheaW/owUNIgrpZQruCeIm3h8PDWIK6VUYbkliKca7RNXSilXcE8Q99CWuFJKuYLb
  ulN8tSWulFKF5rbuFF9Pf3csWimlLivanaKUUkWYW4K4Q4O4Ukq5hBu7UzSIK6VUYbmtO0WDuFJK
  FZ57ulM84/H10iCulFKF5ZYg7iQFL48S7li0UkpdVtzzb/cInh56G1qllCosNwVxp95LXCmlXMCN
  QTzXP6lQSin1L7itO8VDu1OUUqrQ3BRJnXhqd4pSShWadqcopVQRpqNTlFKqCNPRKUopVYS5L4h7
  aHeKUkoVlvtGp2hLXCmlCs19o1O0T1wppQqtQJHUGNPHGLPDGBNujBmdR5pgY8xGY8wWY8yy8+Wn
  o1OUUso1vPJLYIzxAMYDPYHDwDpjzGwR2ZElTVlgAnCtiBwyxlQ8X546OkUppVyjIJG0A7BLRCJE
  JAWYCQzIkeYO4CcROQQgIlHny9Ce2NQgrpRShVWQSFodiMwyfTBtXlYNgQBjzDJjzDpjzN3nz1JH
  pyillCvk253yL/JpA1wNlAL+NMb8KSK7cyYMCQkh+e/d/J44jUYePgQHB7uoCEopdXkIDQ0lNDS0
  QGmNiJw/gTGdgBAR6ZM2/SwgIjI2S5rRgI+IvJI2PRmYJyI/5chLRIRSj1zDx7c+y5Dga/7Faiml
  VPFkjEFEcu2+KEh3yjqgvjEmyBjjDdwGzMmRZjbQzRjjaYzxAzoC2/PKUHDiqd0pSilVaPl2p4iI
  wxgzHFiIDfpTRGS7MeYh+7Z8JiI7jDELgH8AB/CZiGzLM0+9Fa1SSrlEgfrERWQ+0CjHvEk5pt8F
  3i3YYvViH6WUcgU3Xnav3SlKKVVY7mkOG22JK6WUK7jtLoYaxJVSqvDcFElFL/ZRSikXcE9L3Oh/
  bCqllCu471a0nhrElVKqsHR0ilJKFWE6OkUppYowHZ2ilFJFmJta4jo6RSmlXMF9LXEdnaKUUoXm
  vj5xHZ2ilFKF5r6LfXR0ilJKFZrbWuJe2hJXSqlCc1ufuN5PXCmlCs99o1O0O0UppQrNbZfde2lL
  XCmlCs19N8DSIK6UUoWmt6JVSqkiTO+dopRSRZgOMVRKqSJML/ZRSqkiTFviSilVhBUokhpj+hhj
  dhhjwo0xo3N5/ypjzEljzIa0xwt55SWC9okrpZSLeOWXwBjjAYwHegKHgXXGmNkisiNH0hUi0j+/
  /GwQF4x2pyilVKEVpDncAdglIhEikgLMBAbkkq5AUdnpBIwTD70VrVJKFVpBIml1IDLL9MG0eTl1
  NsaEGWN+N8Y0zSszEbAnNjWIK6VUYeXbnVJA64FaIpJgjLkOmAU0zC3hK6+EwKp4xr4+lut6XUdw
  cLCLiqCUUpeH0NBQQkNDC5TWiG0a553AmE5AiIj0SZt+FhARGXuez+wD2opITI75kpgo+L5SlpMv
  H6CsT9kCFVIppYozYwwikmuXdUH6NNYB9Y0xQcYYb+A2YE6OBVTO8roD9uAQQy5sn7h2pyillCvk
  250iIg5jzHBgITboTxGR7caYh+zb8hlwszHmESAFSARuzTs/wDh1dIpSSrlAvt0pLl2YMRIXJ5QZ
  60f8y1H4lfC7aMtWSqmiqrDdKS6lo1OUUsp1LnokTR8nbgo2rFwppdR5uKclrhf7KKWUS7ipJa7d
  KUop5Qpua4nr6BSllCo8t7XEtU9cKaUKzw1BXECMtsSVUsoFLnoQdzidkPtwR6WUUv/SRQ/iqU4n
  iJ7UVEopV3BPd4q7/tpTKaUuMxe/Je7Q7hSllHKVi98SFydGW+JKKeUSF//EpkO0T1wppVzk4gdx
  cVLAv+NUSimVDze0xHV0ilJKuYob+sQFo0FcKaVcwj2jU7Q7RSmlXMIto1O0O0UppVzDLaNTdIih
  Ukq5ho5OUUqpIswtl93riU2llHIN99zFUFviSinlEm66Fa22xJVSyhUKFE2NMX2MMTuMMeHGmNHn
  SdfeGJNijBmUVxqn6IlNpZRylXyjqTHGAxgP9AaaAbcbYxrnke4tYMH58nPoOHGllHKZgjSJOwC7
  RCRCRFKAmcCAXNI9DvwIHD9fZg5x6olNpZRykYJE0+pAZJbpg2nzMhhjqgE3isin5NPMdor+KYRS
  SrmKl4vy+RDI2leeZyCfPuVDHLtjCQkJITg4mODgYBcVQSmlLg+hoaGEhoYWKK0RkfMnMKYTECIi
  fdKmnwVERMZmSbM3/SVQEYgHHhSROTnyku+X7OTu+deT9HZ4AVdHKaWKN2MMIrn/JVpBWuLrgPrG
  mCDgCHAbcHvWBCJSN8vCvgR+zRnA0zn0Yh+llHKZfIO4iDiMMcOBhdjO7Ckist0Y85B9Wz7L+ZHz
  5ed0OjE6OkUppVyiQH3iIjIfaJRj3qQ80g45X172ik1tiSullCu4508hNIgrpZRLuOmye+1OUUop
  V3DLn0JoS1wppVzDDS1x7U5RSilXcVNLXLtTlFLKFdzw92w6OkUppVxFR6copVQR5pbRKdqdopRS
  rqGjU5RSqghzzx8laxBXSimXuOjRNCXViTHanaKUUq7gliDuYbIvtnbt2hhjLotH7dq1L3aVKqWK
  MVf9KUSBnU2Rc4J4REQE+d3XvKjQXxlKqYvJTS1xDXRKKeUKl0R3ilJKqQvjhiAueHhoEFdKKVfQ
  7hSllCrCLnoQT00VPLU7RSmlXOKiR9Pk1BQ8PS76oJhCiY2NZeDAgfj7+1OnTh1mzJjh7iIppRTg
  hiGGSakJlPTwu9iLLZRHH30UHx8fTpw4wYYNG+jXrx+tWrWiSZMm7i6aUqqYu+gt8URHAiVNqYu9
  2AuWkJDAzz//zOuvv46vry9du3ZlwIABfPPNN+4umlJKXfwgnuSIx8ez6LTEw8PDKVGiBPXq1cuY
  17JlS7Zu3erGUimllHXxu1McCRcUxF0xoOVCLgo9c+YMZcqUyTavTJkynD59uvAFUkqpQipQS9wY
  08cYs8MYE26MGZ3L+/2NMZuMMRuNMX8bY67OK69kScDX6993p4gU/nEh/P39iYuLyzbv1KlTlC5d
  +sIyVEopF8o3iBtjPIDxQG+gGXC7MaZxjmSLRaSliLQG7gc+yyu/ZGc8vkWoO6Vhw4akpqayZ8+e
  jHmbNm2iWbNmbiyVUkpZBWmJdwB2iUiEiKQAM4EBWROISEKWSX8gKq/MzjoT8C1RdIK4n58fgwYN
  4qWXXiIhIYGVK1fy66+/cvfdd7u7aEopVaAgXh2IzDJ9MG1eNsaYG40x24G5wBN5ZXaWeHy9ik4Q
  B5gwYQIJCQkEBgZy1113MXHiRB1eqJS6JLjsxKaIzAJmGWO6Ad8AjXJLF/3nOv7ZG0/I0QiCg4MJ
  Dg52VRH+M+XLl+eXX35xdzGUUsVEaGgooaGhBUpr8ruPtzGmExAiIn3Spp8FRETGnucze4AOIhKd
  Y74EPtWPh9o+zKt3XZ91/mV1P/HLZV2UUpeGtLiS6xi9gnSnrAPqG2OCjDHewG3AnBwLqJfldRuA
  nAE8XYqJx68I9YkrpdSlLN/uFBFxGGOGAwuxQX+KiGw3xjxk35bPgJuMMfcAZ4F44Na88ks1CZQu
  WXSu2FRKqUtZgfrERWQ+Ofq4RWRSltdvA28XJK9UjzhKldSWuFJKucLFv+zebw+lfTSIK6WUK1z0
  IC4eKdqdopRSLuKWf2co66tBXCmlXOGiB3HzzWLK+el9R5RSyhUufnfKnp54e1/spSql1OXJLd0p
  JUq4Y6kXbsKECbRv3x4fHx+GDBni7uIopVQGt/zZZVFriVevXp0XX3yRBQsWkJiY6O7iKKVUBrcE
  8aLWEr/xxhsBWLduHYcOHXJzaZRSKpNbulN8fd2xVKWUuvxc9JZ4XBz4+Pz7z5lXCv//bPKy3phK
  KXV5uehB/EL/1UwDsFJKncst3SlKKaVcQ4N4ATgcDpKSknA4HKSmppKcnIzD4XB3sZRSSoN4Qbz+
  +uv4+fkxduxYpk2bhp+fH2PGjHF3sZRSKv9/9nHpwoyR3JZ3Of0bzuW0LkqpS0Nh/9lHKaXUJUqD
  uFJKFWEaxJVSqgjTIK6UUkWYBnGllCrCNIgrpVQR5pa7GOYUFBSEMYW/N8qlICgoyN1FUEoVIwUa
  J26M6QN8iG25TxGRsTnevwMYnTZ5GnhERDbnkk+u48SVUkrlrVDjxI0xHsB4oDfQDLjdGNM4R7K9
  QHcRaQm8DnxeuCJf/kJDQ91dhEuG1kUmrYvstD7yV5A+8Q7ALhGJEJEUYCYwIGsCEflLRE6lTf4F
  VHdtMS8/unNm0rrIpHWRndZH/goSxKsDkVmmD3L+ID0UmFeYQimllCoYl57YNMb0AO4HurkyX6WU
  UrnL98SmMaYTECIifdKmnwUkl5ObLYCfgD4isiePvPSsplJKXYC8TmwWpCW+DqhvjAkCjgC3Abdn
  TWCMqYUN4HfnFcDPVwillFIXJt8gLiIOY8xwYCGZQwy3G2Mesm/LZ8CLQADwibEDvlNEpMN/WXCl
  lFIX+X7iSimlXOuiXXZvjOljjNlhjAk3xozO/xNFmzFmijHmmDHmnyzzyhtjFhpjdhpjFhhjymZ5
  7zljzC5jzHZjzLXuKfV/wxhTwxiz1Biz1Riz2RjzRNr8YlcfxpiSxpg1xpiNafXxRtr8YlcXYK9D
  McZsMMbMSZsulvVQKCLynz+wB4vdQBBQAggDGl+MZbvrgR2h0wr4J8u8scCotNejgbfSXjcFNmK7
  t2qn1ZVx9zq4sC6qAK3SXvsDO4HGxbg+/NKePbHXVXQtxnXxP+BbYE7adLGsh8I8LlZLPN8Lhi43
  IrISiM0xewAwNe31VODGtNf9gZkikioi+4Fd2Dq7LIjIUREJS3t9BtgO1KD41kdC2suS2AZOLMWw
  Lj1biVkAAAHWSURBVIwxNYC+wOQss4tdPRTWxQri//aCoctVoIgcAxvYgMC0+Tnr5xCXaf0YY2pj
  f6H8BVQujvWR1oWwETgKhIrINopnXXwAPANkPTFXHOuhUPRWtO5VrM4qG2P8gR+BJ9Na5DnXv1jU
  h4g4RaQ19tfIlcaYYIpZXRhj+gHH0n6hnW/o8WVdD65wsYL4IaBWlukaafOKm2PGmMoAxpgqwPG0
  +YeAmlnSXXb1Y4zxwgbwb0RkdtrsYlsfACISB8wF2lH86qIr0N8YsxeYAVxtjPkGOFrM6qHQLlYQ
  z7hgyBjjjb1gaM5FWrY7GbK3MuYA96W9vheYnWX+bcYYb2NMHaA+sPZiFfIi+QLYJiLjsswrdvVh
  jKmYPuLCGOML9MKesCtWdSEi/ycitUSkLjYeLBWRu4FfKUb14BIX6wwq0Ac7KmEX8Ky7z+hehPWd
  DhwGkoED2HvKlAcWp9XDQqBclvTPYc+4bweudXf5XVwXXQEHdlTSRmBD2v4QUNzqA7gibf03ApuA
  p9PmF7u6yLJ+V5E5OqXY1sOFPvRiH6WUKsL0xKZSShVhGsSVUqoI0yCulFJFmAZxpZQqwjSIK6VU
  EaZBXCmlijAN4kopVYRpEFdKqSLs/wG1uJNL8RfZnwAAAABJRU5ErkJggg==
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795cb007d0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "source": [
      "data=shelve.open(\"./scores/DECODA_MINIAE_TANH_TFIDF_H30_DO.shelve\")
  ",
      "scores={}
  ",
      "#del scores_ordoned
  ",
      "for key,table in data.iteritems():
  ",
      "    scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)
  ",
      "   # if key not in scores_ordoned:
  ",
      "   #     scores_ordoned[key]=[scores[key]]
  ",
      "   # else :
  ",
      "   #     scores_ordoned[key].append(scores[key])
  ",
      "#data.close()
  ",
      "show_network_TRANS(scores)
  ",
      "pandas.DataFrame(zip([x[0] for x in data[\"ASR_AE_H1\"][0] ],[x[0] for x in data[\"ASR_AE_H1\"][1] ])).plot()
  ",
      "data.close()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 79,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "data": {
        "text/plain": [
         "array([ 0.1998101 ,  0.12073141,  0.10901488, ...,  0.25165449,
  ",
         "        0.07732746,  0.08457387])"
        ]
       },
       "execution_count": 79,
       "metadata": {},
       "output_type": "execute_result"
      }
     ],
     "source": [
      "shelve.open(\"./Sparse_mat_tfidf.shelve\")[\"ASR\"][\"TRAIN\"].data"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 101,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "data=shelve.open(\"./real_spe_scores/REAL_SPE_1060_TFIDF.shelve\")"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 102,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAALUAAAJZCAYAAADvSnR5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAHkdJREFUeJzt3X2QXHWd7/H3J5lAJJAYRRLNmASNBHG9ooWRhVsyKywJ
  UiHZ5RaG3cUortRVQRa5hoRll7BVPmAV616vWhZcxABKFgUhlroJAUcW9hrYPBry4NyEPI1kEHm6
  okhCvvePc8J0JpOke6Z7Jv3N51XVldOnT//61+n3nDl9OjNRRGCWyZDBnoBZvTlqS8dRWzqO2tJx
  1JaOo7Z0HLXVhaQJkvZIGvSmBn0CtZC0RdLvJb0o6SlJd0g6ruL22yT9sbz9RUn/T9LKHmOMkPQ7
  ST/uZfwnJX2oinkMk3STpO3l42yW9M8Hmedtko4pb2uX9IeKOb4o6f4DPM7sMpT/0WP9dkkfLJev
  l/RKj+f87KGeQ4/x6hXkYfGhR1NFTfGXdn5EjATeA7wbuK7HNjdGxMjyclxEvLfH7RcC24A/k3RC
  H+dxLfA+4LRyLm3AigPM833AaRXzDODTFXMcGREzDvJYzwJzJI04yDYLezznN9T4fFTOSzXer7iz
  NLQv92uUZosayr/4iHgaWAy8q8b7zwZuAR4B/qaPczgN+GFEdJVz2RYRdx5gnk8BPwX+pOdtVVoP
  /B/g6lonKWm+pK+Vyy3ld6gby+vDy+8Yrwd+Xt7l+XJv/wEVriu/6+yU9B1JI8v77t2zXyppK/Bg
  L499Yfkd7JRa591fzRg1AJJagfOAZTXcZwLwQeD75WV2Hx/+F8DVkj4l6U8OtqGktwIfZt89eS0C
  +Afg78oAa/Fz4Kxy+f3ATornD3AGsCEinq9Yt3dvvwz4OPDR8v5vA44Dvt5j/A8CJwNTK1dK+jjw
  JeDsiFhX45z7LyKa5gI8CbxYXvYAPwSGVNx+G/AHim/Zz5V/3lZx+3XAf5TLbwReAd7TY/wPVTEP
  AZ8C/r18vB3AR3uZ57Pl8v8Cji5v+xnwUo853nCAx5kNPFwu/yvwpXJ5O/DBcvl64I/lOHsvD5a3
  DQd+D4wGrgHmURx6HQPMB/6l3G4C8GqPv8ulwH+vuH5S+fc1pGL7CRW3Tyhfk6uBtcCbB62TwQ61
  D1H/Wbn8QeB54P09ov6ng9x/I/B3FdeXAP9ca9Q9xjwa+DSwG5jcc569bP8z4NIqx66MenL5fE/o
  JerbDzLGw8BfAD8G/hRYCJxbzuMvDhL1OuC8Hs9zD/Dmiu2H9hL1U8CnBrOTZjz82Hus+jDFt8Ov
  VHUn6U+BdwDXlWcknqJ4kf+qP+/6I+KPEfFNir1u5fFjn950HeRxNgL3An9PbWcZHgY+BJwKPF5e
  n0pxOPLw3uF7ud+vKULdawKwC+iqnFbPaVJ8wfyDpL+sYY511YxRV/oXYIqkKVVs+zGKPfM7Kc6c
  7D17cgzFsfleR0k6uuKy3zt7SVdKOqt8szVU0mzgWPp+3Fytf6I41q3l2PrnFMfG6yJiN9AO/C3w
  ZET8ttzmNxR72bdX3O8u4CpJEyUdC3yB4izLnvL23r5oBTwBTAO+Lml6DfOsm2aLep89Q0Q8A3wH
  mFuxek6Pc7ZPSzoa+G/A1yLiNxHxdHnZAtzOvm8Yf0xxHPqH8s/re5nH74GbKL7V/obi+PovI2Jr
  b/Psxdd7zPHxQz91KOd7B9Dz9N5Heoz3oqTjy9v+g+LY+uflGOvK57b3jAcR8QeKaB+V9Gy5k/h2
  +VgPA5vK5/zZyun0NsVyvDXAdOBmSVN72a6hVB4PHXwjaQvwAsVX866ImCJpNMWblwnAFuCiiHih
  3H4ecCnFceaVEbGkIbM360W1e+o9QFtEvDci9n6rnwssjYjJwEMU76wpz0teRPFt/jzgm5Lqenxp
  djDVRq1etp0BLCiXFwAzy+ULKI69dpffLjuAao55zeqi2qgDeEDS45L+tlw3Jro/UdtJcaoJYBzF
  Kae9Ost1ZgOipcrtzoyIpyS9CVgiaSO9n84xG3RVRR3Fv18gIn4j6T6Kw4kuSWMiokvSWODpcvNO
  4K0Vd28t1+1Dkr8IrFcR0a/3YIc8/JB0THmekvJfip0L/BJYRHHuF4pTYnv/+eQiYJakoySdCEwC
  HjvA5Btyuf766z1uk865HqrZU48BfljuWVuA70bEEkn/Cdwt6VJgK8UZDyJinaS7KT5m3UXxzyy9
  V7YBc8ioI+JJio9Ye65/FjjnAPf5EsW/0jIbcM32iWJV2traPG6Dx27knPurqk8UG/LAko9KbD+S
  iEa/UTRrNo7a0nHUlo6jtnQctaXjqC0dR23pOGpLx1FbOo7a0nHUlo6jtnQctaXjqC0dR23pOGpL
  x1FbOo7a0nHUlo6jtnQctaXjqC0dR23pOGpLx1FbOo7a0nHUlk61/5PAoBo7diJdXVsPvaEdlsaM
  mcDOnVsG7PGa4hdEFv+5l3+ZZPNS1b9Q3b8g0qwXjtrScdSWjqO2dBy1peOoLR1Hbek4akvHUVs6
  jtrScdSWjqO2dBy1peOoLR1Hbek4akvHUVs6jtrScdSWjqO2dBy1peOoLR1Hbek4akvHUVs6jtrS
  cdSWjqO2dBy1peOoLR1Hbek4akvHUVs6jtrScdSWjqO2dBy1peOoLR1Hbek4akvHUVs6jtrScdSW
  jqO2dBy1peOoLR1Hbek4akvHUVs6jtrScdSWjqO2dBy1peOoLR1Hbek4akvHUVs6jtrScdSWjqO2
  dBy1peOoLR1Hbek4akvHUVs6jtrScdSWjqO2dBy1peOoLR1Hbek4akun6qglDZG0QtKi8vpoSUsk
  bZS0WNKoim3nSeqQtF7SuY2YuNmB1LKnvhJYV3F9LrA0IiYDDwHzACSdAlwEvBM4D/imJNVnumaH
  VlXUklqBDwP/u2L1DGBBubwAmFkuXwAsjIjdEbEF6ACm1GW2ZlWodk/9VeDzQFSsGxMRXQARsRM4
  oVw/DthesV1nuc5sQLQcagNJ5wNdEbFKUttBNo2D3Nar+fPnv7bc1tZGW9vBhreM2tvbaW9vr+uY
  ijh4i5K+CPwNsBt4HXAc8EPgNKAtIrokjQV+FhHvlDQXiIi4sbz/vwHXR8SyHuPGoR67Ylv68DVj
  hw1Ry2sdEf16D3bIw4+IuDYixkfE24BZwEMRcQnwI+Bj5WazgfvL5UXALElHSToRmAQ81p9JmtXi
  kIcfB/Fl4G5JlwJbKc54EBHrJN1NcaZkF/DpqnfJZnVwyMOPhj2wDz+OIIfZ4YdZs3HUlo6jtnQc
  taXjqC0dR23pOGpLx1FbOo7a0nHUlo6jtnQctaXjqC0dR23pOGpLx1FbOo7a0nHUlo6jtnQctaXj
  qC2dpop66lRYvx42boQ5c/a//eqrYcUKWL4c1qyBXbtgVPm7WOfOhbVrYfVquPNOGDasWP/ud8Oj
  j8KqVXDffTBixMA9H2uQiBiUS/HQ1QFCiujoiBg/PqKlJWLlyojJkyOg98v550c88ECxPH58xKZN
  EcOGFdcXLoy45JJiedmyiDPPLJZnz4644YYDj+lLXy+1vdb9batp9tRTpkBHB2zbBrt3w8KFMGPG
  gbe/+GK4665i+cUX4ZVXir3w0KFwzDHQ2VncdtJJxZ4aYOlSuPDCxj4Pa7ymiXrcONhe8btUd+wo
  1vVm+HCYNg3uuae4/vzzcNNNxRdEZ2dx/aGHitvWroXp04vliy6C1tbGPQcbGE0TdS2mT4dHHoEX
  Xiiun3giXHUVTJgAb3kLHHtssScH+MQn4DOfgcceK/bkr7wyePO2+miaqDs7Yfz47uutrd2HED3N
  mtV96AFw2mnFIcZzz8GePXDvvXDGGcVtv/pVsVefMqU4pNm0qXHPwQZG00T9+OMwaVIR9rBhRbiL
  Fu2/3ciRcNZZcP/93es2boTTT4ejjy6un312cRYF4Pjjiz8luO46+Na3Gvs8rPGaJuo9e+Dyy2HJ
  EnjiiWKvumEDXHYZfPKT3dvNnAmLF8PLL3evW7MGbr+9ONW3enUR8M03F7ddfHExzrp1xZ5/wQKs
  yTXFbz0dO3YiXV1bGzwja5QxYyawc+eWqratx289bYqo7cjhX+Vr1gtHbek4akvHUVs6jtrScdSW
  jqO2dBy1peOoLR1Hbek4akvHUVs6jtrScdSWjqO2dBy1peOoLR1Hbek4akvHUVs6LYM9gWr4p8mb
  Wy0/TV4PTfHT5JIA/+R58xK1vNb+aXKzHhy1peOoLR1Hbek4akvHUVs6jtrScdSWjqO2dBy1peOo
  LR1Hbek4akvHUVs6jtrScdSWjqO2dBy1peOoLR1Hbek4akvHUVs6jtrScdSWjqO2dBy1peOoLR1H
  bek4akvHUVs6jtrScdSWjqO2dBy1peOoLR1Hbek4akvHUVs6jtrScdSWjqO2dBy1peOoLR1Hbek4
  akvHUVs6jtrScdSWjqO2dA4ZtaSjJS2TtFLSE5K+WK4fLWmJpI2SFksaVXGfeZI6JK2XdG4jn4BZ
  T4qIQ28kHRMRv5c0FHgUuBq4APhtRHxF0jXA6IiYK+kU4LvA+4FWYCnwjujxQJJ6rjrY4wPVbWuH
  I1HLax0R6s+jVXX4ERG/LxePLu/zHDADWFCuXwDMLJcvABZGxO6I2AJ0AFP6M0mzWlQVtaQhklYC
  O4H2iFgHjImILoCI2AmcUG4+DthecffOcp3ZgGipZqOI2AO8V9JIYLGkNvY/HvDxgR0Wqop6r4h4
  UdJPgNOALkljIqJL0ljg6XKzTuCtFXdrLdftZ/78+a8tt7W10dbWVst0LIH29nba29vrOuYh3yhK
  Oh7YFREvSHodsBi4ATgXeDYibjzAG8UPUBx2PIDfKB7hBvaNYjV76jcDC1SUNQS4IyIeLI+x75Z0
  KbAVuAggItZJuhtYB+wCPl11vWZ1UNUpvYY8sPfUR5DD8JSeWTNx1JaOo7Z0HLWl46gtHUdt6Thq
  S8dRWzqO2tJx1JaOo7Z0HLWl46gtHUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gtHUdt6ThqS8dR
  WzqO2tJx1JaOo7Z0HLWl46gtHUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gtHUdt6ThqS8dRWzqO
  2tJx1JaOo7Z0HLWl01RRT50K69fDxo0wZ87+t199NaxYAcuXw5o1sGsXjBoF73hH9/oVK+D55+GK
  K/a97+c+B6++CqNHD8xzsQaKiEG5FA9dHSCkiI6OiPHjI1paIlaujJg8OQJ6v5x/fsQDD+y/Xoro
  7Ixobe1eN25cxE9/GrF5c8To0Qce05e+Xmp7rfvbVtPsqadMgY4O2LYNdu+GhQthxowDb3/xxXDX
  XfuvP+cc2LQJduzoXvfVr8LnP1//OdvgaJqox42D7du7r+/YUazrzfDhMG0a3HPP/rd95CP7xj59
  ejHu2rX1na8NnpbBnkAjTJ8OjzwCL7yw7/qWFrjgApg7t7g+fDhcey38+Z93byMN3DytMZpmT93Z
  CePHd19vbS3W9WbWrN4PPc47r3iz+MwzxfW3vx0mToTVq2Hz5mLM5cvhTW+q+/RtIDXLG8UhQ7rf
  KA4bVrxRPPnk/d+UjBwZ8cwzEcOH73/b974X8dGPHvgNzebNEa9//WC/qcp4qe217m9bTXP4sWcP
  XH45LFkCQ4bArbfChg1w2WXFX9sttxTbzZwJixfDyy/ve//Xva54k3jZZQd+jAgffmSgcq858A8s
  RbWPPXbsRLq6tjZ4RtYoY8ZMYOfOLVVtK4mI6NeupSmitiNHPaJumjeKZtVy1JaOo7Z0HLWl46gt
  HUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gtHUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl0xS/IsE/
  Td7cavlp8npoip8mlwT4J8+bl6jltfZPk5v14KgtHUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gt
  HUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gtHUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gtHUdt
  6Rwyakmtkh6S9ISkX0r6bLl+tKQlkjZKWixpVMV95knqkLRe0rmNfAJmPR3yF0RKGguMjYhVko4F
  lgMzgI8Dv42Ir0i6BhgdEXMlnQJ8F3g/0AosBd7R87dB+hdEHkkOs18QGRE7I2JVufw7YD1FrDOA
  BeVmC4CZ5fIFwMKI2B0RW4AOYEp/JmlWi5qOqSVNBE4FfgGMiYguKMIHTig3Gwdsr7hbZ7nObEBU
  HXV56PED4Mpyj93z+4mPD+ywUNX/JCCphSLoOyLi/nJ1l6QxEdFVHnc/Xa7vBN5acffWct1+5s+f
  /9pyW1sbbW1tNU3eml97ezvt7e11HbOq/0lA0u3AMxHxuYp1NwLPRsSNB3ij+AGKw44H8BvFI9zA
  vlGs5uzHmcDDwC8pygrgWuAx4G6KvfJW4KKIeL68zzzgE8AuisOVJb2M66iPGIdZ1I3iqI8kh9kp
  PbNm46gtHUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gtHUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl
  46gtHUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gtHUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gt
  HUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gtHUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gtHUdt
  6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gtHUdt6ThqS8dRWzqO2tJx1JaOo7Z0HLWl46gtnaaKeupU
  WL8eNm6EOXP2v/3qq2HFCli+HNasgV27YNSo4ra5c2HtWli9Gu68E4YNG9i52wCKiEG5FA9dHSCk
  iI6OiPHjI1paIlaujJg8OQJ6v5x/fsQDDxTL48dHbNoUMWxYcX3hwohLLjnwfX2p96W217q/bTXN
  nnrKFOjogG3bYPduWLgQZsw48PYXXwx33VUsv/givPIKjBgBQ4fCMcfAr389MPO2gdc0UY8bB9u3
  d1/fsaNY15vhw2HaNLjnnuL688/DTTcVXxCdncX1Bx9s/JxtcDRN1LWYPh0eeQReeKG4fuKJcNVV
  MGECvOUtcOyxxZ7ccmqaqDs7Yfz47uutrcW63sya1X3oAXDaafDoo/Dcc7BnD9x7L5xxRmPna4On
  aaJ+/HGYNKkIe9iwItxFi/bfbuRIOOssuP/+7nUbN8Lpp8PRRxfXzz67OItiObUM9gSqtWcPXH45
  LFkCQ4bArbfChg1w2WXF++tbbim2mzkTFi+Gl1/uvu+aNXD77cWpvldfhZUr4eabB+d5WOOpPL02
  8A8sRbWPPXbsRLq6tjZ4RtYoY8ZMYOfOLVVtK4mIUH8erymitiNHPaJummNqs2o5akvHUVs6jtrS
  cdSWjqO2dBy1peOoLR1Hbek4akvHUVs6jtrScdSWjqO2dBy1peOoLR1Hbek4akvHUVs6jtrSaYpf
  keCfJm9utfw0eT00xU+TSwL8k+fNS9TyWvunyc16cNSWjqO2dBy1peOoLZ1DRi3pVkldktZUrBst
  aYmkjZIWSxpVcds8SR2S1ks6t1ETNzuQavbUtwFTe6ybCyyNiMnAQ8A8AEmnABcB7wTOA76p4nyc
  2YA5ZNQR8QjwXI/VM4AF5fICYGa5fAGwMCJ2R8QWoAOYUp+pmlWnr8fUJ0REF0BE7AROKNePAyr+
  uyE6y3VmA6ZeH5P36eO++fPnv7bc1tZGW1tbnaZjzaK9vZ329va6jlnVx+SSJgA/ioj/Ul5fD7RF
  RJekscDPIuKdkuZS/OeON5bb/RtwfUQs62VMf0x+xDg8PyZXedlrEfCxcnk2cH/F+lmSjpJ0IjAJ
  eKw/EzSr1SEPPyR9D2gD3ihpG3A98GXg+5IuBbZSnPEgItZJuhtYB+wCPu3/A8MGmv+Vng2Aw/Pw
  w6xpOGpLx1FbOo7a0nHUlo6jtnQctaXjqC0dR23pOGpLx1FbOo7a0nHUlo6jtnQctaXjqC0dR23p
  OGpLx1FbOo7a0nHUlo6jtnQctaXjqC0dR23pOGpLx1FbOo7a0nHUlo6jtnQctaXjqC0dR23pOGpL
  x1FbOo7a0nHUlo6jtnQctaXjqC0dR23pOGpLx1FbOo7a0nHUlo6jtnQctaXjqC0dR23pOGpLx1Fb
  Oo7a0nHUlo6jtnQctaXjqC0dR23pOGpLx1FbOo7a0nHUlo6jtnQctaXjqC0dR23pOGpLx1FbOo7a
  0nHUlo6jtnQctaXjqC0dR23pOGpLx1FbOo7a0nHUlo6jtnQctaXjqC0dR23pOGpLx1FbOo7a0nHU
  lo6jtnQctaXjqC2dpop66lRYvx42boQ5c/a//Q1vgJ/8BFauhDVrYPbsYv24cfDgg7B2bbH+iiu6
  7/Pud8Ojj8KqVXDffTBixMA8F2ugiBiUS/HQ1QFCiujoiBg/PqKlJWLlyojJkyOg+/KP/xjxxS8W
  y298Y8Qzz0QMHRoxZkzEe95TrB8xImLDhu77LlsWceaZxfLs2RE33LDvmL7U41Lba93ftppmTz1l
  CnR0wLZtsHs3LFwIM2bsu83OnXDcccXyccfBb38Lr74KXV2wenWx/qWXir39uHHF9ZNOKvbUAEuX
  woUXDszzscZpmqjHjYPt27uv79jRHeZet9wC73oXdHYWEV955f7jTJgAp54Ky5YV19euhenTi+WL
  LoLW1sbM3wZO00RdjXnzipjHjYP3vhe+8Y19j5FHjIAf/KCI/aWXinWXXgqf+Qw89lhx+yuvDM7c
  rX6aJurOThg/vvt6a2uxrtKZZ8L3v18sb94MTz4JJ59cXB86tAj6jjtg0aLu+3R0wLRpxeHNwoWw
  aVNjn4c1XtNE/fjjMGlSEfawYTBr1r5xQnGsfM45xfIJJxTHy5s3F9e//W1Ytw6+9rV973P88cWf
  Elx3HXzrW419HjYAmuXsB0RMnVqcufjVryKuuaZ4Z33ZZRGf/GS8dsZj0aKIVasiVq+OmDWrWH/G
  GRG7dxdnTFasiFi+vBgLIq64ohhz/fqIL3xhsM8SZL3U9lr3ty2VgQ04SVHtY48dO5Gurq0NnpE1
  ypgxE9i5c0tV20oiItSfx2uKqO3IUY+om+aY2qxajtrScdSWjqO2dBoWtaRpkjZI+pWkaxr1OGY9
  NSRqSUOArwNTgXcBF0s6uRGP1Zv29naP2+CxGznn/mrUnnoK0BERWyNiF7AQmHGI+9RNs72Qjrq+
  GhX1OKDi39Sxo1xn1nB+o2jpNOQTRUmnA/MjYlp5fS7FZ/o3VmzjjxOtV4flx+SShgIbgbOBp4DH
  gIsjYn3dH8ysh5ZGDBoRr0q6HFhCcYhzq4O2gTJo/6DJrFEG5Y1ivT6YkdQq6SFJT0j6paTPlutH
  S1oiaaOkxZJG9XH8IZJWSFpU53FHSfq+pPXl3D9Qj7ElzSvHWyPpu5KO6su4km6V1CVpTcW6A45T
  Pm5H+XzO7cPYXynvu0rSPZJG9mXs1/T3H2TXeqH4Qvq/wARgGLAKOLmPY40FTi2Xj6U4jj8ZuBGY
  U66/BvhyH8e/CrgTWFRer9e43wE+Xi63AKP6O3b597kZOKq8/q/A7L6MC/xX4FRgTcW6XscBTgFW
  ls9jYvnaqsaxzwGGlMtfBr7Ul7FfG28Qoj4d+GnF9bnANXUa+77yL2gDMKYi/A19GKsVeABoq4i6
  HuOOBDb1sr5fYwOjyzFGlxEs6s/fRflFsuZQ8+v5+gE/BT5Qy9g9bpsJ3NHXsSMG5/d+NOSDGUkT
  KfYAv6D4y+8CiIidwAl9GPKrwOeByjcd9Rj3ROAZSbeVhzY3Szqmv2NHxHPATcA2oBN4ISKW1mnO
  ACccYJyer2cn/Xs9LwV+0p+xU3z4IulY4AfAlRHxO/YNkV6uH2q884GuiFgFHOycaV/eZbcA7wO+
  ERHvA16i2CP1d85vozhcmgC8BRgh6a/7O+5B1P0Mg6S/B3ZFxF39GWcwou4EKn7ZAa3luj6R1EIR
  9B0RcX+5ukvSmPL2scDTNQ57JnCBpM3AXcCHJN0B7OznuFB8Z9oeEf9ZXr+HIvL+zvk04NGIeDYi
  XgV+CJxRh3H3OtA4ncBbK7br0+sp6WPAh4G/qljdp7EHI+rHgUmSJkg6CphFcfzXV98G1kXE/6xY
  twj4WLk8G7i/550OJiKujYjxEfG2cn4PRcQlwI/6M245dhewXdJJ5aqzgSf6O2eKN8mnSxouSeW4
  6/oxrtj3u9SBxlkEzCrPtJwITKL4sK3qsSVNozjUuyAi/tjjMWsde3B+RQIwjeJF6ADm9mOcM4FX
  Kc6grARWlGO/AVhaPsYS4PX9eIyz6H6jWJdxgfdQfHGvAu6lOPvR77HLMJ4A1gALKM4u1Twu8D3g
  18AfKY7RP07xBrTXcYB5FGcm1gPn9mHsDmBr+fqtAL7Zl7H3Xvzhi6WT4o2iWSVHbek4akvHUVs6
  jtrScdSWjqO2dBy1pfP/ARY+jY+DVQ54AAAAAElFTkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f7957629e10>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAGqhJREFUeJzt3XmUVfWZ7vHvWwPzIGLADkjJKIqKGqVV1K4LxpCYAA6r
  lVZsh/S1o6hXTZboDUq7NJG0QwbJVYhtjMvISgPOA3SUMqKiKIqEGdSywAEEBJEC6px67x/7iMdD
  FbWhNvvsDc9nrVqePZy931NST73125O5OyIikk4lxS5ARET2nEJcRCTFFOIiIimmEBcRSTGFuIhI
  iinERURSLFSIm9kwM1tiZsvM7IYGlh9gZtPNbL6ZzTGzI6IvVURECjUZ4mZWAtwLfA8YAIwys/4F
  q90EvO3uA4F/BX4bdaEiIrKzMJ34IGC5u1e7ex0wBRhRsM4RwIsA7r4UONTMvhVppSIispMwId4N
  qMmbXpWbl28+cDaAmQ0CegDdoyhQREQaF9WBzTuATmY2D7gSeBvIRrRtERFpRFmIdVYTdNZf6Z6b
  t4O7fwFc+tW0mb0PvFe4ITPTjVpERPaAu1tD88N04nOBPmZWYWYtgPOBJ/NXMLOOZlaee/1vwEvu
  vrmRQlL1dcsttxS9BtWczC/VrJrjqnlXmuzE3T1rZmOAmbnQf8DdF5vZ5cFinwQcDjxkZvXAQuCy
  prYrIiLNF2Y4BXd/HjisYN79ea/nFC4XEZG9T1dsNqGysrLYJew21RwP1RwP1bxr1tR4S6Q7M/M4
  9ycisi8wM7wZBzZFRCShFOIiIimmEBcRSTGFuIhIioU6xTAJ5s+Hjh3h0EN3XvbCC3DKKdCyZTC9
  fj1MmQL19Q1va/hw6JG7BnX7dnj4YaitDd5/4YXQuvVe+QgiIpFLxdkpCxbAkCHQrh289hocfPDX
  y/74R7jkErjvPrj88mDe1VcH7xkwYOdtbdwYbOPVV+Fb34KLLoL334djjoGFC+HAA+Evf4HS0j37
  jCIiUdvV2SmJD/FVq+Dkk2HCBFixAh5/HF56KQj0mTNh9GgYPx5++9sghDdtgl69ghDvVnivxZxx
  44L3nnoqvPIKvPhi0H1v2wbDhsHAgfDrXzf/84qIRGFXIZ7o4ZSNG+HMM2HMGBg1Ctzhww+hZ88g
  xDdsgKefhsGD4f77g2BeuBB+8IPGAxzg1luhpgaeeCLoyL8aPmnZEh57LBiaqaiAkoQcMTALfvFc
  ckmxKxGRpElsJ759exDG/fvD734XBBkEQV5dHfy3Qwfo3DmY/9BDwdj2ihUwdSocf/yut19fH3Te
  DY1/19bCJ5/sxgfby9asgZEj4Q9/CH6picj+JXXDKe5w8cVBJz5tWrjx6W3bgu65b194+eXm15o0
  c+bAj34Ev/pVcIBXRPYf55yTsuGUjz4KhklqasIfYGzZMujYu++jzxM68cTgL41Jk4pdiYgkSSI7
  8ddfh6uugjfeiKEoEZGES929U2pq9t2OWkQkSokM8VWrFOIiImEoxEVEUkwhLiKSYokN8UMOKXYV
  IiLJl8gQ14FNEZFwEneKYTYbXEX5xRdf35VQRGR/lqpTDNesgU6dFOAiImEkLsR1UFNEJLxEhrgO
  aoqIhJO4ENdBTRGR8BIX4hpOEREJTyEuIpJiCnERkRRLZIjrwKaISDiJutinvj640GfjRmjVKray
  REQSLTUX+6xdGzw3UwEuIhJOokJc4+EiIrsnUSH+wgvQs2exqxARSY/EPCj5qafgnntg9uxiVyIi
  kh6JCPE334TLLguecN+7d7GrERFJj0ScnXLRRfCd78A118RWiohIajT77BQzG2ZmS8xsmZnd0MDy
  zmb2nJm9Y2YLzOzi3SlwwQI46aTdeYeIiECITtzMSoBlwFDgI2AucL67L8lb5xaglbvfaGYHAUuB
  ru6eKdjWTp14JhOcVrh2LbRtG8VHEhHZtzS3Ex8ELHf3anevA6YAIwrW+QRon3vdHlhXGOCNWbYM
  unVTgIuI7IkwBza7ATV506sIgj3fZOAFM/sIaAecF7aABQvgqKPCri0iIvmiOjvlRmC+u/8vM+sN
  /I+ZHe3umwtXHD9+/I7XlZWVLFhQqRCX1Jn94Wzmrp4LQK9OvRh+2HDMjGx9lqeXPc2gboP4h/b/
  AMDK9St5atlTxHkSgcSvdXlrLjjqAtq3bP+N+as2rWLaomnUe/2OeWbGWf3PouKAiga3VVVVRVVV
  Vaj9hhkTPxEY7+7DctNjAXf3CXnrPAvc7u6v5KZfAG5w9zcLtrXTmPiIETB6NJx7bqh6I+Pu1Hs9
  pSWl8e44Aeq9ng21G4pdRipt3LaRm2fdzMsfvsxZ/c/CMGZ9MIvObToz5oQx/GL2L9iW2cbHmz/m
  56f+nA1bN3DvG/dy7hHn0rqsdbHLl72oZlMNr69+nbvPuJshPYdQ7/U8NP8h7ph9ByP7j6R9i6/D
  /cu6L5m+eDrXn3Q9Pz7ux5TYrke2D2p7UKNj4mE68blAHzOrAD4GzgdGFayzGDgdeMXMugL9gPdC
  bLtowyn3zLmHP83/E7MvnU27Fu3iL6BI5qyaw0+e+Qnvb3h/v/wF1lylVsplx17GoisW0bZFcCAn
  U5/h93N/z/iXxnPdiddx0cCLWLpuKdfNuI72Ldvz9uVvc0hH3Zpzf/By9ctcO+Na/v2ZfwfgxO4n
  8tplr9G3c9+d1r3xlBu5dsa13Pnanc3aZ6jzxM1sGPAbggOhD7j7HWZ2OUFHPil3RsqDQA/AgF+6
  +6MNbOcbnfgXX0DXrsF/S2PMk3Vb1tF/Yn9O6n4SZSVlTP3nqU3+JgRYsX4Fd756J+ccfg7f7f3d
  3d7vzJUzmTh3InXZuj0pu9lqM7UsW7eM//zufzLqyFGYNfiLXUQSZldnpxT1Yp85c+DKK+Gtt/Z8
  m+7OrA9msebLNQCcfMjJ9OjYA4Ctma08u/xZtme3U1ZSxvf7fJ+2Ldpy7fPXsj27nbu/dzdD/jSE
  03qcxi+G/mJHqL376bssWrvoG/tZ8OkC7n/rfi499lKmLprK8d8+PvhzOkQQujuPLXmMNz96k/GV
  4zmozUF7/oGbwTBOPuRkOrbqWJT9i8ieSWyIT54Mr7wCf/zjnm1v+brljHluDB9u/JCBXQeSqc9Q
  9UEV1590PQMPHsg1z19Dt/bdOLjdwayvXc/SdUsZO3gs42aNY+EVC+nariufbv6UHz76Q1qVteKX
  Q3/JI+8+wuNLH+e0itMwvv6edW7dmRtPvZHuHbpTW1fLXa/dxd/X/D10rUd2OZLrT7qe1uUaFxWR
  3ZPYEL/6aqiogOuv3/1tLflsCYP/azA3nXITV//j1ZSXlgPw3ob3uOb5a1i+bjl3nXEXZ/Y7c8d7
  Zr0/i6ueu4oLj76QsaeM3TE/W59l8rzJ3PrSrZzV/yxuG3IbnVp32vMPKiISoUSGuHtwqf2tt8IZ
  Z+z+tkZOGckpPU7hpyf/dLff6+4aDxaR1Ejkk31uuSUI8tNOC7f+2i/X8vnWz4HgCPA7n7zDmEFj
  9mjfCnAR2VcU5Va0kyfDn/8Mr74a7lFs7s7wKcNZsX4FE06fwP1v3c/tQ26nVZme4yYi+7fYQ3zL
  luCWs++8A126hHvPtMXT2JrZynMXPMeVz15Jtj7LqKMKT1UXEdn/xD4m/tlnTp8+sCHkBYPbs9s5
  YuIR3PfD+zi91+nUez3bs9vVhYvIfmNXY+Kxd+LZLJSF2Gv159XUZmqZtmgafTv35fRepwNQYiUK
  cBGRnNhDPJNpOsTXfLmGfvf2o+cBPWlZ1pJHzn4knuJERFKmKJ14U5fYL1+3nGMPPpY5P54TT1Ei
  IikV+ymGYTrxlRtW0vtAPTFZRKQpsYd4mE585fqV9O6kEBcRaUpyO3GFuIhIk4oS4k124htW0ufA
  PvEUJCKSYkUZTmmqE1+xfoXGxEVEQkjccMqmbZuoraula9uu8RUlIpJSiTuwuXL9Snp16qWbVImI
  hJC4TlynF4qIhJfITlxnpoiIhJPMTlwhLiISSjJDXMMpIiKhJG44ZcX6FerERURCSlQnvi2zjU82
  f0LFARXxFiUiklKJ6sQ/+PwDDulwCGUlRXlqnIhI6iSqE1+2bpnGw0VEdkOiOvFnlj/D0J5D4y1I
  RCTFEtOJZ+ozPLbkMc494ty4SxIRSa3EhPjL1S/TvUN3enXqFXdJIiKplZjhlKmLpnLu4erCRUR2
  R1E78fmfzGdL3Ray9VmmL5muoRQRkd1UlAcl15bXcM5f/g9/q/4b7Vq046KjL6Jr26707dw37nJE
  RFIt9k68tm4r07ocw9Fdjqbm2hom/2gyUxZO4YKjLoi7FBGR1DN3j29nZn773eu49fM+bP2P9Tvm
  f1WD7iEuIrIzM8PdGwzI2IdTtmfqKCnYrcJbRGTPxD6csj2b2SnERURkz4QKcTMbZmZLzGyZmd3Q
  wPKfmtnbZjbPzBaYWcbMDmhoW3XZDKWmEBcRiUKTIW5mJcC9wPeAAcAoM+ufv4673+nux7r7ccCN
  QJW7f97Q9uoyGUoob37lIiISqhMfBCx392p3rwOmACN2sf4o4NHGFtbVZyjVcIqISCTChHg3oCZv
  elVu3k7MrDUwDJjW2MbqshlKNJwiIhKJqA9s/giY3dhQCgTDKRoTFxGJRpg0XQ30yJvunpvXkPPZ
  xVAKwFsvT+TLFmsYXz+eyspKKisrQxUqIrK/qKqqoqqqKtS6TV7sY2alwFJgKPAx8AYwyt0XF6zX
  EXgP6O7utY1sy8+7bg6vHXA11eNeD1WgiMj+rlkX+7h71szGADMJhl8ecPfFZnZ5sNgn5VYdCcxo
  LMC/kqnXcIqISFRCpam7Pw8cVjDv/oLph4CHmtpWXTZDqZ6hKSISifhvRet16sRFRCISe4jXZTOU
  KcRFRCIRfyder+EUEZGoFCXEy0yX3YuIRKE4Ia5OXEQkEvE/KNkV4iIiUVEnLiKSYurERURSTJ24
  iEiKFacTL1WIi4hEoSghXq5OXEQkEhoTFxFJsfhDnDrKNZwiIhKJ4gynKMRFRCIRe4jXe4byUl12
  LyISBXXiIiIpVoQxcYW4iEhU4h9OUYiLiESmKGPiLRTiIiKRKE4nXqYQFxGJQlFCXJ24iEg0ihPi
  6sRFRCIRf4ibhlNERKJShE68Tp24iEhEYg9xNw2niIhEpShj4i3LdNm9iEgUitOJl6sTFxGJgoZT
  RERSrCgh3lIhLiISidhDnBJ14iIiUYk9xK1Uj2cTEYlK/J24QlxEJDLxd+IlCnERkahoOEVEJMWK
  cmBTIS4iEo0ijInXKcRFRCISKsTNbJiZLTGzZWZ2QyPrVJrZ22b2dzOb1ei21ImLiESmyTQ1sxLg
  XmAo8BEw18yecPcleet0BCYCZ7j7ajM7qNENlmQoL9G9U0REohCmEx8ELHf3anevA6YAIwrW+Rdg
  mruvBnD3zxrfozpxEZGohAnxbkBN3vSq3Lx8/YADzWyWmc01s9GN71EhLiISlajStAw4DhgCtAVe
  M7PX3H1F4YquEBcRiUyYNF0N9Mib7p6bl28V8Jm7bwW2mtnfgIHATiFe/8pG7v7l3bRt0ZbKykoq
  Kyv3rHIRkX1UVVUVVVVVodY1d9/1CmalwFKCA5sfA28Ao9x9cd46/YHfAcOAlsDrwHnuvqhgW156
  0wGs/fl7dGrdKfQHEhHZn5kZ7m4NLWuyE3f3rJmNAWYSjKE/4O6LzezyYLFPcvclZjYDeBfIApMK
  A3zH9jScIiISmSY78Uh3ZuY2rhVfjltP6/LWse1XRCTNdtWJx3/FpqkTFxGJSvxP9inJUFpSGvdu
  RUT2SfF34l5CicW/WxGRfVHsaVriuuReRCQq8d9P3DUeLiISFYW4iEiKxT+cEtmV/iIiok5cRCTF
  1ImLiKSYQlxEJMUU4iIiKaYQFxFJMYW4iEiKKcRFRFIs9hAvRZfdi4hEJf5O3NSJi4hEpQiduEJc
  RCQq8Ye4OnERkchoOEVEJMXUiYuIpJhCXEQkxRTiIiIpFnuIlynERUQiE38nXqIQFxGJijpxEZEU
  iz/ES3TZvYhIVIoQ4urERUSiohAXEUkxnWIoIpJi8XfipQpxEZGoaDhFRCTFYg/xcoW4iEhk1ImL
  iKRY/J24xsRFRCKjEBcRSTENp4iIpFioEDezYWa2xMyWmdkNDSz/JzP73Mzm5b5+3ti2WpTqsnsR
  kag02RabWQlwLzAU+AiYa2ZPuPuSglX/5u7Dm9xhA8Mphx56KNXV1eEqTriKigo++OCDYpchIvuJ
  MGMbg4Dl7l4NYGZTgBFAYYhbmB22aCDEq6urcfcwb088s1DfBhGRSIQZTukG1ORNr8rNK3SSmb1j
  Zs+Y2RGNbay8TGPiIiJRiSpR3wJ6uPsWM/s+8DjQr6EVX536NOMXrgagsrKSysrKiEoQEdk3VFVV
  UVVVFWpda2oYw8xOBMa7+7Dc9FjA3X3CLt7zPvAdd19fMN9vffxPjBsxunD9fWo4ZV/5LCKSDLlc
  aXCsNsxwylygj5lVmFkL4HzgyYIddM17PYjgl8N6GqDhFBGR6DSZqO6eNbMxwEyC0H/A3Reb2eXB
  Yp8EnGtmPwHqgFrgvMa210IhLiISmVDnibv78+5+mLv3dfc7cvPuzwU47j7R3Y9092Pd/WR3f72x
  baXxis0NGzZw1lln0a5dO3r27Mmjjz5a7JJERIDoDmyGlsZO/IorrqBVq1asXbuWefPmceaZZ3LM
  Mcdw+OGHF7s0EdnPxX7ZfcuUhfiWLVuYPn06t912G61bt2bw4MGMGDGChx9+uNiliYjEH+ItytJ1
  2f2yZcsoLy+nd+/eO+YNHDiQhQsXFrEqEZFA7G1xy/I922UUF0LuyZl/mzdvpkOHDt+Y16FDB774
  4ovmFyQi0kypGRMv1qnX7dq1Y9OmTd+Yt3HjRtq3b1+cgkRE8sQ/nLKHnXix9OvXj0wmw8qVK3fM
  mz9/PgMGDChiVSIiAR3YbEKbNm04++yzufnmm9myZQuzZ8/mqaeeYvTo0U2/WURkL4s/xFPWiQNM
  nDiRLVu20KVLFy688ELuu+8+nV4oIonQ5L1TIt2Zmb9Vs4Djuh9ZOH+fud/IvvRZRCQZmnvvlEil
  8WIfEZGk0nCKiEiK6Wn3IiIppqfdi4ikWPydeEm6LrsXEUkydeIiIimmEBcRSTGFuIhIiinERURS
  TCEewsSJEznhhBNo1aoVl156abHLERHZIfZELbHYf280W7du3Rg3bhwzZsygtra22OWIiOwQe4hb
  FE93iNnIkSMBmDt3LqtXry5yNSIiX0tfWywiIjukZoDa/qP5HbzforsLisi+JTUhrgAWEdmZhlNE
  RFJMIR5CNptl69atZLNZMpkM27ZtI5vNFrssERGFeBi33XYbbdq0YcKECTzyyCO0adOG22+/vdhl
  iYjE/3i2hva3Lz3SbF/6LCKSDIl6PJuIiERHIS4ikmIKcRGRFFOIi4ikmEJcRCTFFOIiIimWiMvu
  KyoqUnl3w4ZUVFQUuwQR2Y+EOk/czIYBvybo3B9w9wmNrHcC8CpwnrtPb2B5g+eJi4hI45p1nriZ
  lQD3At8DBgCjzKx/I+vdAcxoXrnJUlVVVewSdptqjodqjodq3rUwY+KDgOXuXu3udcAUYEQD610F
  TAXWRFhf0ekfUDxUczxUczySFuLdgJq86VW5eTuY2beBke7+/4B9Y3BbRCQFojo75dfADXnTCnIR
  kRg0eWDTzE4Exrv7sNz0WMDzD26a2XtfvQQOAr4E/re7P1mwLR3VFBHZA40d2AwT4qXAUmAo8DHw
  BjDK3Rc3sv6DwFMNnZ0iIiLRavI8cXfPmtkYYCZfn2K42MwuDxb7pMK37IU6RUSkAbHeT1xERKIV
  22X3ZjbMzJaY2TIzu6Hpd8TPzLqb2YtmttDMFpjZ1bn5ncxsppktNbMZZtax2LXmM7MSM5tnZk/m
  ppNeb0cz+28zW5z7Xv9jCmq+MVfru2b2iJm1SFrNZvaAmX1qZu/mzWu0xtxnWp77/3BGgmr+Va6m
  d8xsmpl1SHrNecuuN7N6Mzswb95erTmWEA97wVACZIDr3H0AcBJwZa7OscBf3f0w4EXgxiLW2JBr
  gEV500mv9zfAs+5+ODAQWEKCazazCuDfgGPd/WiCYchRJK/mBwl+xvI1WKOZHQH8M3A48H3g91ac
  e180VPNMYIC7HwMsJx01Y2bdge8C1XnzDmcv1xxXJx72gqGicvdP3P2d3OvNwGKgO0GtD+VWewgY
  WZwKd5b7h/MD4A95s5NcbwfgVHd/EMDdM+6+kQTXDGwCtgNtzawMaA2sJmE1u/tsYEPB7MZqHA5M
  yX3/PyAIy0Fx1JmvoZrd/a/uXp+bnEPwMwgJrjnnHuBnBfNGsJdrjivEm7xgKGnM7FDgGIJ/RF3d
  /VMIgh7oUrzKdvLVP5z8gxtJrrcn8JmZPZgbAppkZm1IcM3uvgG4C/iQILw3uvtfSXDNebo0UmPh
  z+RqkvkzeSnwbO51Yms2s+FAjbsvKFi012vWrWgbYGbtCG4hcE2uIy88+puIo8Fmdibwae6vh139
  iZaIenPKgOOAie5+HME1BWNJ6PcYwMx6AdcCFcC3CTryC0hwzbuQhhoBMLP/C9S5+6PFrmVXzKw1
  cBNwSzH2H1eIrwZ65E13z81LnNyfy1OBh939idzsT82sa275wSTn/jCDgeG5i60eBYaY2cPAJwmt
  F4K/wmrc/c3c9DSCUE/q9xjgeOAVd1/v7lngMeBkkl3zVxqrcTVwSN56ifqZNLOLCYYJ/yVvdlJr
  7g0cCsw3s/cJ6ppnZl2IIfviCvG5QB8zqzCzFsD5wJNNvKdY/gtY5O6/yZv3JHBx7vW/Ak8UvqkY
  3P0md+/h7r0Ivqcvuvto4CkSWC9A7k/7GjPrl5s1FFhIQr/HOUuBE82sVe6g1FCCA8lJrNn45l9l
  jdX4JHB+7iybnkAfggv5iuEbNVtw6+ufAcPdfVveeoms2d3/7u4Hu3svd+9J0Kgc6+5rcjWft1dr
  dvdYvoBhBD8My4Gxce13N2scDGSBd4C3gXm5ug8E/pqrfyZwQLFrbaD2fwKezL1OdL0EZ6TMzX2f
  pwMdU1Dzzwh+2bxLcICwPGk1A38GPgK2EYzfXwJ0aqxGgrM+VhAcwD8jQTUvJzjDY17u6/dJr7lg
  +XvAgXHVrIt9RERSTAc2RURSTCEuIpJiCnERkRRTiIuIpJhCXEQkxRTiIiIpphAXEUkxhbiISIr9
  f1+vmiI1FHdgAAAAAElFTkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795be7b150>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "source": [
      "scores={}
  ",
      "#del scores_ordoned
  ",
      "for key,table in data.iteritems():
  ",
      "    scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)
  ",
      "   # if key not in scores_ordoned:
  ",
      "   #     scores_ordoned[key]=[scores[key]]
  ",
      "   # else :
  ",
      "   #     scores_ordoned[key].append(scores[key])
  ",
      "#data.close()
  ",
      "show_network_RSPE(scores)pandas.DataFrame(zip([x[0] for x in data[\"ASR_AE_H1\"][0] ],[x[0] for x in data[\"ASR_AE_H1\"][1] ])).plot()
  ",
      "data.close()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 96,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "data": {
        "text/plain": [
         "['ASR', 'TRS_AE_OUT', 'ASR_AE_OUT', 'TRS', 'ASR_AE_H2', 'ASR_AE_H1']"
        ]
       },
       "execution_count": 96,
       "metadata": {},
       "output_type": "execute_result"
      }
     ],
     "source": [
      "data.keys()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 104,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAANEAAAJZCAYAAAA3RtBzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAH9JJREFUeJzt3XucnXV94PHPF4IgtxRxSerEBHxxUawVLEYr7TorFFAK
  YesWQlsM0kK3VuvL+pKLdUvc3SK4tXdtt61aBErkohItLeHibBf3JaQEiJAQUhACIxnKRcBLNYHv
  /vE8Qw6TmcxMvjM5M5PP+/U6L855znN+53cun3me85xhEpmJpO23S7cnIE13RiQVGZFUZERSkRFJ
  RUYkFRmRVGREUlVmbvMEPAT8AHgGeAq4FfhNINrrPw/8CHi2PT0H3Nlx+92ApcD97XUPAn8LzO9Y
  5xeB24DvAf8GXAb0dFy/BNjccR8PAJ8DDhlmvnu14/zDaI9tyGP8d+AVQ5bfCbwwONf2sf739vyC
  9rqvDbnNZcDvt+ffDjwyzP39HbAJmDNk+YXAj4c8l0+NYf4vtOs+CzwK/Bmwa8f1fcAPO8Z9Frhu
  yBgHAs8Dnx5h/NeM4/ncDfgU8Eh7Xw8CfzTMe+pZ4LH2ed1zrHMd5v5Gep6/Dpw15PUafF6fBX5v
  yPqXAE+078GLx/p4x7IlSuDEzJzdTuRi4DyaEAZdkpn7tqd9MvPIjuuupYlkMTAbeCPwL8AxABHx
  X4ArgD8C9gdeT/NGujUiZneM8/8yc992jGPbJ/qOiDh8yHzfDWwA/lNEHDCGxzf4GL8NnD64ICJ+
  Cnh5e922vCUi3jrK2C+KiD2BXwLWAL82zPrLhjyXrxjj/H+6fX7+Yzv+OUOuf1/HuPtm5qIhY7wH
  uAc4LSJ229ZjGIOPAm8Cjmrn1AusGjLeie11bwKOAj42jrkOZyxzTGB2+7zum5l/MHhFRPwmcDLw
  BuCngZMi4pwRxnmJse7OBUBmPpeZXwNOA5YM8wZ+6Y0ijqWJ5eTMXJWZL7Rj/FVmfr5d7Q9pfrp/
  MTN/lJmPA79BszX50NAxs/HtzPxt4P/QbOU6LQH+hmaLOdybdCSXtbftHOfSMdzuk8BF47ifd9ME
  ewlw5jhuty3BltfoQeAbND+Mhq6zLe+heS6fBE4a522HOgr4cmYOtHPakJmXDzdmZj4G/CPwU4X7
  G6tg5Pf8e4BPZeZj7Zz+kDG+Ptv1mSgzVwL9wM+PsuoxwO2Z+Z3hroyIw4BXA9cMGT9ptmC/MMr4
  X+qcQ0QsoPlJfHV7WjLC7YbzTWCfiDgsInah+UFxOdt+QRP4DHBoRLxjjPezBPgi8FXg4Ig4cpT1
  xyUiXkvznNw2jtv8PHAAcD3NazGe52043wQ+HBG/1W7Rt3XfrwbexUu3VJMlgYciYkNEfC4i9u+4
  7vXA3R2X72brH0TDqhxY+A4wuKvxkYh4KiKebv87uJXZn2afdySvbP873DqPdVw/ljkAnAGszMxH
  aQJ7XUS8cZQxOg1ujX4BWNuOP5ofAn8A/M/RVoyI+TS7Nldn5nPAP9H8BOx0WvscDp5uHuPcV0XE
  94B7gWsy87Ih1//5kNfo4x3XvQf4amb+iOaHzwkRMdpzvy0X0ez2/wqwMiIejYihj/MrEfEU8M80
  n10+Mca5jqRnyPP2NHB0x/VPAG+m+UjyM8A+NB8jBu1N87l/0LPtslFVIuqhOdAA8L8y8xWZuV/7
  3/e2y58EfnIbYzzR/ne4dX6y4/qxzAGaiK4CyMwnaT6kjuen6uU0L/yZwBfGcbu/BeZExC+Ost4Z
  wD2Zub69fA3wqxGxa8c6X2yfw8HTMWOcw5GZuTfNZ88z2mA7fWDIa3QhQETsAfwyTTxk5l3AwzTP
  w3Zpd7n/MjN/HvgJmqg+1+55DFrUzuOgzPxAG/A25zqK/iHP2340u7WDc/p+x0eKfwPeDxwXEXu1
  q3wP2LdjvNntslFtV0QR8WbgVTSfO7blJmBhRLxquCszcx3N0aRfHjJ+0Hx2uGmU8X8J+L/tbd4G
  HAJ8LCIei4jHgJ8FfqXdPRtVZm6g+bzyTpot2Zhk5ibg48D/GGXVM4BDOub3JzRb63eN9b62YfAz
  xtXA19r5jMV/pnnz/O+Oec2jvktHO58fZeZngKeBzs/Qk/W5ZzySLQ3cS3PQa9AR7bJRjSuiiNin
  /Wl7JXBZZm7zTjLzZuBG4MsR8aaI2DUi9o6I34yIM9vVPkLzxl8cEbtHxFzgszSb2z/pvPt2DrtE
  xIER8ec0n3+WttcvAVYAr6N5Mt5Ic6Tl5TRRjNVZwDsy84djWLfzjXA5sMdI9xURPwu8hmaXYnB+
  r6d5Lofu6lRdApweET1jWHcJzfP9ho55/RxwRER0fibYvX19Bk8jvnci4oMR8faI2KN9zZfQ7Brt
  iM89I81pYUQcGo39gT8Fvt7uVkOz5/G7EfGq9nn7XZpD76Mb7Rg4zU/m79PsLz5Ns4n8r2z5nug5
  muPvz7en52iOs68A1rX/vQhY3173VDvWeuC4doyTgNvb65+g2Vcd+j3RJrYc4/92+wAPa6/fnWbX
  8V3DzP8vgKtGeYwP0oQzdPmu7WMa6Xui54FdOtb/5XbZf8st319saM//5XDzoInqhzS7PRey9Xdu
  zwKvHGX+zzPkexzgH2i/m6H5zPGDIeOupNmb+DFw+DBjfg34ZG75nmjw9R08f9Y25nM2zdcYT7ev
  9zeBd472fG9rrqM8/hef5yHLb2HL90SL2/t9juag2N8BBwxZ/+L2ffQE8InR2hg8DYaw3SLiQeBn
  MvPpjmWXAE9m5icj4jxgv8w8vz0kfgXNG2ceze7aIVmdhNRFE/FrP8Mde1/Elu9YLgVOac+fTPNl
  4ubMfIhma7RwAuYgdc1ERJTAjRGxMiJ+o102J7d80baR5jsIaI6mPdJx2/522aSKiFdHxHMR8WzH
  afDyvMm+/6qI+LmR5t/FOf3lkDkNnv/MJN3fBcM8B89GxD9Mxv2Nx6wJGOPozHwsIv4DsCIi1rH1
  r2B0dXctMx+hOVAxLWXmrUyx+WfmbwG/tQPv7xO89LukKaMcUTa/IkFm/ltEfIVm92wgIuZk5kB7
  tO3xdvV+mt9QGDSvXbaViPBzkoaVmVPh8PiLSrtzEbFnROzdnt8LOA74FrCcLb93tAS4rj2/HFgc
  ES+LiIOAg2mOyg1rrEdHxnO68MILp9W403HOk/lcTEXVLdEcmu+Ash3risxcERH/AlwVEWfRfPt9
  KkBmromIq2h+g3kTzW/rTs1nRhqjUkSZ+W2ab3aHLn+K5n9XGO42U3bfVtoeO93/2drb2zutxp3M
  safbuFNV+cvWyRIR7ulpKxFBzqQDC5KMSCozIqnIiKQiI5KKjEgqMiKpyIikIiOSioxIKjIiqciI
  pCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikIiOSioxIKjIiqciIpCIjkoqMSCoyIqloIv6lvK6b
  O/dABgYe7vY0tB3mzFnAxo0PdXsaJTPiD9pHBF3+Fy213WJc/3iXf9BemoGMSCoyIqnIiKQiI5KK
  jEgqMiKpyIikIiOSioxIKjIiqciIpCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikIiOSioxIKjIi
  qciIpCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikIiOSioxIKjIiqciIpCIjkoqMSCoyIqnIiKQi
  I5KKjEgqMiKpyIikIiOSioxIKjIiqciIpCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikIiOSioxI
  KjIiqciIpCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikIiOSioxIKjIiqciIpKIJiSgidomIVRGx
  vL28X0SsiIh1EXFDRMzuWPeCiFgfEWsj4riJuH+pmyZqS/RBYE3H5fOBmzLzMOAW4AKAiDgcOBV4
  HfBO4DMRERM0B6kryhFFxDzgXcDfdixeBFzanr8UOKU9fzKwLDM3Z+ZDwHpgYXUOUjdNxJboj4GP
  ANmxbE5mDgBk5kbggHZ5D/BIx3r97TJp2ppVuXFEnAgMZOZdEdG7jVVzG9eNaOnSpS+e7+3tpbd3
  W3ehmaivr4++vr5uT2ObInO73t/NjSMuAn4N2Ay8HNgH+DJwFNCbmQMRMRf4ema+LiLOBzIzL2lv
  /0/AhZl52zBj51jn1nys2v7HoW4KxvMejAgyc0p9ji7tzmXmRzNzfma+BlgM3JKZZwBfBc5sV1sC
  XNeeXw4sjoiXRcRBwMHA7ZU5SN1W2p3bhouBqyLiLOBhmiNyZOaaiLiK5kjeJuB9Y97cSFNUaXdu
  Mrk7t7PYyXfnJBmRVGZEUpERSUVGJBUZkVRkRFKREUlFRiQVGZFUZERSkRFJRUYkFRmRVGREUpER
  SUVGJBUZkVRkRFKREUlFRiQVzZiIjj8e1q6Fdevg3HO3vv7DH4ZVq+COO2D1ati0CWbPhkMO2bJ8
  1Sr47nfhAx9obvPud8O3vgWbN8ORR+7Yx6NpJDOn5KmZ2thERK5fnzl/fuasWZl33pl52GGZMPzp
  xBMzb7xx6+URmf39mT09zeVDD808+ODMm2/OPPLIkcfzVDmN/XVu/4Zadvu9OfQ0I7ZECxcuZP16
  2LCh2WosWwaLFo28/umnw5VXbr382GPhgQegv7+5fP/98K//Cv7jL9qWGRFRT08Pj3T8WxOPPgo9
  I/xbE3vsASecANdeu/V1p502fFzStsyIiMbjpJPg1lvhmWdeunzWLDj5ZLj66u7MS9PXjIiov7+f
  +fO3XJ43b8su2VCLFw+/tXnnO5uDC088MTlz1Mw1IyJauXIlBx8M8+fDbrs1oSxfvvV6++4Lb387
  XHfd1teN9DlpkJ+LNKJuH9kY6cQ4jtoAefzxmffdl3n//Znnndcc+TnnnMyzz95yJOg978m84oqt
  jxC9/OWZjz+euffeL12+aFHmhg2ZP/hB5ne+k3n99d0+kjUTT2N/nQdf626/N4eeZsS/CjF37oEM
  DDw8yTPSZJgzZwEbNz405vWn4r8KMSMi0s5jKkY0Iz4TSd1kRFKREUlFRiQVGZFUZERSkRFJRUYk
  FRmRVGREUpERSUVGJBUZkVRkRFKREUlFRiQVGZFUZERSkRFJRUYkFc3q9gQmgn/tZ/oa71/7mYpm
  xF/7iQhgaj4OjSYYz3vQv/YjzUBGJBUZkVRkRFKREUlFRiQVGZFUZERSkRFJRUYkFRmRVGREUpER
  SUVGJBUZkVRkRFKREUlFRiQVGZFUZERSkRFJRUYkFRmRVGREUpERSUVGJBUZkVRkRFKREUlFRiQV
  GZFUZERSkRFJRUYkFRmRVGREUpERSUVGJBUZkVRkRFKREUlFRiQVGZFUZERSkRFJRUYkFRmRVGRE
  UpERSUWliCJi94i4LSLujIh7I+Kidvl+EbEiItZFxA0RMbvjNhdExPqIWBsRx1UfgNRtkZm1ASL2
  zMwfRMSuwDeADwMnA09m5icj4jxgv8w8PyIOB64A3gzMA24CDslhJhERwy0eaQ5A7XGoW4LxvAcj
  gsyMSZzQuJV35zLzB+3Z3dvxngYWAZe2yy8FTmnPnwwsy8zNmfkQsB5YWJ2D1E3liCJil4i4E9gI
  9GXmGmBOZg4AZOZG4IB29R7gkY6b97fLpGlrVnWAzHwBODIi9gVuiIhett63cl9LM1Y5okGZ+WxE
  XA8cBQxExJzMHIiIucDj7Wr9wKs7bjavXTaspUuXvni+t7eX3t7eiZqupom+vj76+vq6PY1tKh1Y
  iIhXApsy85mIeDlwA/Bx4Djgqcy8ZIQDC2+h2Y27EQ8s7OSm/4GF6pboJ4FLo3kX7wJclpk3t5+R
  roqIs4CHgVMBMnNNRFwFrAE2Ae8bcynSFFU+xD1Z3BLtLKb/lsjfWJCKjEgqMiKpyIikIiOSioxI
  KjIiqciIpCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikIiOSioxIKjIiqciIpCIjkoqMSCoyIqnI
  iKQiI5KKjEgqMiKpyIikIiOSioxIKjIiqciIpCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikIiOS
  ioxIKjIiqciIpCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikolndnsBEmDNnAQMD0e1paDvMmbOg
  21Moi8zs9hyGFRE5Veem7okIMnNK/cR0d04qMiKpyIikIiOSioxIKjIiqciIpCIjkoqMSCoyIqnI
  iKQiI5KKjEgqMiKpyIikIiOSioxIKjIiqciIpCIjkopmxF/7mTv3QAYGHu72NLQd5sxZwMaND3V7
  GiUz4q/9RAQwNR+HRhOM5z3oX/uRZiAjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikIiOSioxIKjIi
  qciIpCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikIiOSioxIKjIiqciIpCIjkoqMSCoqRRQR8yLi
  loi4NyK+FRG/0y7fLyJWRMS6iLghImZ33OaCiFgfEWsj4rjqA5C6rfQH7SNiLjA3M++KiL2BO4BF
  wHuBJzPzkxFxHrBfZp4fEYcDVwBvBuYBNwGHDPeX6/2D9juLnfwP2mfmxsy8qz3/PWAtTRyLgEvb
  1S4FTmnPnwwsy8zNmfkQsB5YWJmD1G0T9pkoIg4EjgC+CczJzAFoQgMOaFfrAR7puFl/u0yatiYk
  onZX7hrgg+0Waej22X0tzVjlfykvImbRBHRZZl7XLh6IiDmZOdB+bnq8Xd4PvLrj5vPaZcNaunTp
  i+d7e3vp7e2tTlfTTF9fH319fd2exjaV/6W8iPgC8ERm/m7HskuApzLzkhEOLLyFZjfuRjywsJOb
  /gcWqkfnjgb+GfgWzbs4gY8CtwNX0Wx1HgZOzczvtre5APh1YBPN7t+KEcY2op3CTh7RZDKincX0
  j8jfWJCKjEgqMiKpyIikIiOSioxIKjIiqciIpCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikIiOS
  ioxIKjIiqciIpCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikIiOSioxIKjIiqciIpCIjkoqMSCoy
  IqnIiKQiI5KKjEgqMiKpyIikIiOSioxIKjIiqciIpCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIik
  IiOSioxIKjIiqciIpCIjkoqMSCoyIqnIiKQiI5KKjEgqMiKpyIikIiOSioxIKpoxER1/PKxdC+vW
  wbnnbn39hz8Mq1bBHXfA6tWwaRPMnt1cd/75cM89cPfdcPnlsNtuzfI3vAG+8Q246y74yldgr712
  3OPRNJKZU/LUTG1sIiLXr8+cPz9z1qzMO+/MPOywTBj+dOKJmTfe2JyfPz/zgQcyd9utubxsWeYZ
  ZzTnb7st8+ijm/NLlmR+/OMjj+lpe09jf50zX1y/q+/NoacZsSVauHAh69fDhg2weTMsWwaLFo28
  /umnw5VXNueffRZ+/ONmK7PrrrDnntDf31x36KHNlgjgppvg3e+e3Meh6WlGRNTT08Mjj2y5/Oij
  0NMz/Lp77AEnnADXXttc/u534VOfagLs728u33JLc90998BJJzXnTz0V5s2bvMeg6WtGRDQeJ50E
  t94KzzzTXD7oIPjQh2DBAnjVq2DvvZstFcCv/zr89m/D7bc3W6of/7h789bUNSMi6u/vZ/78LZfn
  zduySzbU4sVbduUAjjqq2WV7+ml44QX40pfgbW9rrrv//martXBhs4v4wAOT9xg0fc2IiFauXMnB
  B8P8+c2RtcWLYfnyrdfbd194+9vhuuu2LFu3Dt76Vth99+byMcc0R/kAXvnK5r8R8LGPwV/91eQ+
  Dk1PMyKiF154gfe/H1asgHvvbbYa990H55wDZ5+9Zb1TToEbboB///cty1avhi98oTn0fffdTTB/
  /dfNdaef3oyzZk2zZbv00h37uDQ9RHs4ecqJiBzr3ObOPZCBgYcneUaaDHPmLGDjxofGvH5EkJkx
  eTMavxkRkXYeUzGiGbE7J3WTEUlFRiQVGZFUZERSkRFJRUYkFRmRVGREUpERSUVGJBUZkVRkRFKR
  EUlFRiQVGZFUZERSkRFJRUYkFRmRVDSr2xOYCP61n+lrvH/tZyqaEX/tJyKAqfk4NJpgPO9B/9qP
  NAMZkVRkRFKREUlFRiQVlSOKiM9GxEBErO5Ytl9ErIiIdRFxQ0TM7rjugohYHxFrI+K46v1L3TYR
  W6LPA8cPWXY+cFNmHgbcAlwAEBGHA6cCrwPeCXwmmuPT0rRVjigzbwWeHrJ4ETD4r/lcCpzSnj8Z
  WJaZmzPzIWA9sLA6B6mbJusz0QGZOQCQmRuBA9rlPUDHP1FMf7tMmrZ21K/9bNevEyxduvTF8729
  vfT29k7QdDRd9PX10dfX1+1pbNOE/NpPRCwAvpqZP91eXgv0ZuZARMwFvp6Zr4uI84HMzEva9f4J
  uDAzbxtmTH/tZ6fgr/0MivY0aDlwZnt+CXBdx/LFEfGyiDgIOBi4fYLmIHVFeXcuIv4e6AX2j4gN
  wIXAxcDVEXEW8DDNETkyc01EXAWsATYB7/PflNR0529xq8vcnZN2ekYkFRmRVGREUpERSUVGJBUZ
  kVRkRFKREUlFRiQVGZFUZERSkRFJRUYkFRmRVGREUpERSUVGJBUZkVRkRFKREUlFRiQVGZFUZERS
  kRFJRUYkFRmRVGREUpERSUVGJBUZkVRkRFKREUlFRiQVGZFUZERSkRFJRUYkFRmRVGREUpERSUVG
  JBUZkVRkRFKREUlFRiQVGZFUZERSkRFJRUYkFRmRVGREUpERSUVGJBUZkVRkRFKREUlFRiQVGZFU
  ZERSkRFJRUYkFRmRVGREUpERSUVGJBUZkVRkRFKREUlFRiQVGZFUZERSkRFJRUYkFRmRVGREUpER
  SUVGJBUZkVRkRFKREUlFRiQVGZFUZERSkRFJRUYkFRmRVGREUtGMiej442HtWli3Ds49d+vrX/EK
  uP56uPNOWL0alixplvf0wM03wz33NMs/8IEdO2/NAJk5JU/N1MYmInL9+sz58zNnzcq8887Mww7L
  hC2n3//9zIsuas7vv3/mE09k7rpr5pw5mW98Y7N8r70y77tv69t6mszT2F/nzBfX79r7crjTjNgS
  LVy4kPXrYcMG2LwZli2DRYteus7GjbDPPs35ffaBJ5+E55+HgQG4++5m+fe/32zNenp27Pw1vc3q
  9gQmQk9PD488suXyo4/CwoUvXedv/qbZbevvh733htNO23qcBQvgiCPgttsmd76aWWbElmgsLrig
  2eL09MCRR8KnPw177bXl+r32gmuugQ9+sNkiSWM1IyLq7+9n/vwtl+fNa7Y4nY4+Gq6+ujn/4IPw
  7W/Da1/bXN511yagyy6D5ct3zJw1c8yIiFauXMnBB8P8+bDbbrB48dYxrF0Lxx7bnD/gADj00CYm
  gM99DtasgT/7sx07b80Q3T6yMdKJcRy1AfL445sja/ffn3neec2Rn3POyTz77HzxiNzy5Zl33ZV5
  992Zixc3y9/2tszNm5sjeqtWZd5xR+bxx3f7iNXOdBr76zz4Wnf7vTn0FO0bdsqJiBzr3ObOPZCB
  gYcneUaaDHPmLGDjxofGvH5EkJkxeTMavxkRkXYeUzGiGfGZSOomI5KKjEgqMiKpqCsRRcQJEXFf
  RNwfEed1Yw7SRNnhEUXELsBfAMcDrwdOj4jX7qj77+vrm1bjTubY023cqaobW6KFwPrMfDgzNwHL
  gEWj3GbCTMc3znSbsxFNvh6g43euebRdJk1LHliQinb4byxExFuBpZl5Qnv5fJrfh7pkyHr+uoKG
  NdV+Y6EbEe0KrAOOAR4DbgdOz8y1O3Qi0gTZ4f9na2Y+HxHvB1bQ7E5+1oA0nU3ZX0CVpospd2Bh
  or6IjYh5EXFLRNwbEd+KiN9pl+8XESsiYl1E3BARs7dz/F0iYlVELJ/gcWdHxNURsbad+1smYuyI
  uKAdb3VEXBERL9vecSPisxExEBGrO5aNOFZ73+vbx3TcOMf9ZHu7uyLi2ojYd7zjTrpu/w9NnSea
  qP8VWADsBtwFvHY7x5oLHNGe35vmc9hrgUuAc9vl5wEXb+f4HwIuB5a3lydq3L8D3tuenwXMro7d
  Pp8PAi9rL38RWLK94wI/BxwBrO5YNuxYwOHAne1jObB9fWMc4x4L7NKevxj4xHjHnfT3bTfudBsv
  zluBf+y4fD5w3gSN/ZX2BbkPmNMumwvctx1jzQNuBHo7IpqIcfcFHhhmeWlsYL92jP3aN93y6nPR
  hrl6tDkOfQ2BfwTeMtZxh1x3CnDZ9ow7maeptjs3KV/ERsSBND/hvknzQg8AZOZG4IDtGPKPgY8A
  nR8oJ2Lcg4AnIuLz7a7iX0fEntWxM/Np4FPABqAfeCYzb5qgOQ86YISxhr6m/Wz/a3oWcP0kjFsy
  1SKacBGxN3AN8MHM/B4vfeMzzOXRxjsRGMjMu4BtfV+xPUdsZgFvAj6dmW8Cvk/zE7c659fQ7H4u
  AF4F7BURv1oddxQTesQqIn4P2JSZV07kuBNhqkXUD3T88Svmtcu2S0TMognossy8rl08EBFz2uvn
  Ao+Pc9ijgZMj4kHgSuAdEXEZsLE4LjRb3kcy81/ay9fSRFWd81HANzLzqcx8Hvgy8LYJGLfTSGP1
  A6/uWG/cr2lEnAm8C/iVjsXlcSfKVItoJXBwRCyIiJcBi2n237fX54A1mfmnHcuWA2e255cA1w29
  0bZk5kczc35mvqad3y2ZeQbw1cq47dgDwCMRcWi76Bjg3uqcaQ6qvDUi9oiIaMddUxw3eOmWeKSx
  lgOL26OBBwEH03zBPqZxI+IEml3nkzPzR0PubzzjTp5ufBAb5QPrCTQv+nrg/MI4RwPP0xzhuxNY
  1Y79CuCm9j5WAD9RuI+3s+XAwoSMC7yR5ofJXcCXaI7OlcemeSPeC6wGLqU5+rld4wJ/D3wH+BHN
  56z30hy0GHYs4AKao2drgePGOe564OH29VsFfGa84072yS9bpaKptjsnTTtGJBUZkVRkRFKREUlF
  RiQVGZFUZERS0f8HCCKkAcjDk6gAAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f7989b39d10>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAD7CAYAAACRxdTpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xl8VPW9//HXlyyGhH2VTfYAUpCl9nJdsW5RQMR7W5fa
  6/6zWqvWWkurXkClVuttxYoF0WrrtXpLFbUgCgpYl6oIgijBsCoETAIEJAmBLN/fH9+ZZCaZmcyE
  IXNmfD8fjzzInDnnzCdD8sknn+/3fI+x1iIiIqmlVaIDEBGR+FNyFxFJQUruIiIpSMldRCQFKbmL
  iKQgJXcRkRSUnugA/IwxmpMpIhIja60Jtd1Tlbu1Nqk+pk2blvAYUjlexayYFXPkj0g8ldxFRCQ+
  lNxFRFKQkvsRGD9+fKJDiEmyxQuKuaUo5pbRkjGbpvo2LcUYY70Si4hIMjDGYJNhQFVEJJ769euH
  MSbpP/r16xfz167KXURSlq+yTXQYRyzc16HKXUTkG0bJXUQkBSm5i4ikICV3EZEUpOQuIpIgpaWl
  TJkyhTZt2tC/f3+ee+65uJ3bMwuHiYh809x4441kZWVRUlLC6tWrmTBhAqNGjWLYsGFHfG5NhRSR
  lOXlqZAVFRV07NiR9evXM3DgQACuuOIKevXqxa9//eugfTUVUkQkSRQUFJCRkVGX2AFOOOEEPvvs
  s7icX20ZEfnGMiFr3tg154+DsrIy2rVrF7StXbt2HDhwIC4xKbmLyDdWIjs2bdq04euvvw7atn//
  ftq2bRuX86stIyKSALm5uVRXV7N58+a6bWvXrmX48OFxOb8GVEUkZXl5QBXgsssuwxjDvHnzWL16
  NZMmTeK9995rNFsmpQdU778fDh1KdBQiIvEze/ZsKioq6NatG5dffjlz5syJyzRISKLKvXVreOEF
  OP/8FgxKRJKa1yv3aKVs5V5bC5WVsGBBoiMREUkOSVG5l5VBu3bQpQvs2gVpaS0cnIgkJVXuHldR
  AZ07Q8+e8O67iY5GRMT7kia5Z2fDRRepNSMiEo2kSe45OTBlikvuKfBXlojIUZU0yT07G771LUhP
  hzVrEh2RiIi3JVVyNwZOPx0++CDREYmIeFtSJPfycpfcAYYNgw0bEhuPiIjXJUVy91fuAEOHQn5+
  YuMREfG6pEvuqtxFJBXMnj2bE088kaysLK6++uq4nz+q5G6MyTPGbDDGFBhjfhHi+c7GmMXGmDXG
  mHXGmCsDnttmjFlrjPnYGPNhc4IMTO79+kFxsbuwSUQkWfXq1Yu7776ba6655qicv8n13I0xrYBH
  gTOBncBKY8zL1trA+vkmYI219jxjTBfgc2PM/1prq4FaYLy1trS5QfqnQoK7OnXwYPj8cxg7trln
  FBFJrAsvvBCAlStXUlhYGPfzR1O5fwfYaK39wlpbBTwPTG6wz1eAf4X5tsAeX2IHMFG+TliBlTuE
  b81EMwf+5ZebP0++rAyWLm3esSIiLSmaOzH1ArYHPN6BS/iB5gFvGmN2Am2AiwOes8BSY0wN8Li1
  dl6sQTZM7qEGVbdudVewFhdD166hz1Nd7S6E2rYNjjsu1ihcYp82DT75JPZjRcR7zIz43GfPTvPe
  lZXxus3eL4G11tozjDEDccl8pLW2DDjZWrvLGNPVtz3fWvtOLCcvL3eLhvkNGwZ//3vwPv5lCfbt
  C5/cS0td1Z6f37zknp8PR+GvJxFJEC8m5XiJJrkXAoGpsLdvW6CTgZkA1trNxpitwFDgI2vtLt/2
  EmPMAlzVHzK5T58+ve7z8ePHM378eCB0W6Zh5b5gAbRq5ZJ7OCUl7t8NG+Dcc8PvF86GDbB3Lxw8
  6NaXFxFpSStWrGDFihVR7RtNcl8JDDLG9AV2AZcAlzbYJx84C3jXGNMdyAW2GGOygVbW2jJjTA5w
  DjAj3AsFJvdADZN7bi5s2eLaLOnpUFQE69bBSSdFTu67d/uCbeY8ef9xO3fCwIHNO4eICEBNTQ1V
  VVXU1NRQXV3NoUOHSE9PJy3CmuaBRS/AjBlh02nTA53W2hrcbJglwGfA89bafGPM9caY/+fb7X7g
  28aYtcBS4A5r7V6gO/COMeZj4H3gH9baJU29ZkMNk3vr1tCjh0vwAK+84irxY491rZdwdu+G9u2b
  l9ytdZX78OFqzYjIkbvvvvvIzs7mgQce4NlnnyU7O5uZM2fG7fxR9dytta8BQxpsmxvw+W5gUojj
  tgKjjjDGoKmQfv5B1dxc15K54gp4442m2zInnwwffRR7DIWFLgYldxGJh2nTpjFt2rSjdv6ku0LV
  b9gweO45mDcP3nkHzjsPOnZsui0zcqS7Zd/evW7bjh1upk2gt99uPF0yP9+9Zq9e7ph4ac4vGhGR
  piRtcr/4YldJv/8+PPCAuw1fhw5NJ/euXYOnUv73f8P999fvc+AAnHYafPZZ8LEbNrjjevWKX+We
  nw8nngibN8fnfCIifkmR3ANXhfT7znfgySfdxw03uG0dOjTdc+/SxSXpDRvcgOwrrwRfEPX55+7f
  F18MPjawco9Xcl+wwF1xq7tLiUi8JUVyD1W5h9JU5V5S4ip3/1TKt9921X/gAKt/DnzDhHs0KvcF
  C+C22xr/IhEROVLfqOTur9z9yX3BArjuOqiqqp8muWEDXHmlS+CBvfh4V+7bt7vzT5/uzr1r15Gf
  U0TEL6WSezQDqv62TH4+vPSSW47A36YBt334cJg0yT0P7pxlZdC7N/Ts6RJxbe2RfU0vvQQTJ7qv
  6/zz3Zo3IiLx4vnkbq27IjRebZkuXdwFSDt2uPnyxx8ffMXrhg3u8UUX1bdmNmyAIUPcbf6ystzg
  rf9q1+ZasMC9BtTf+FtE4qtv374YY5L+o2/fvjF/7fFaW+aoqayEY45xSws0peGA6t69ruXSvbur
  /mtqoE0bl6QHD3bVuTH1lXtVlWuVDB7sPn7wA/jb3+DDD13C9/O3Zrp3d+2Vnj3dwGhDH37orp5t
  6NAhWLUKzj7bPc7Lg6uvdr33jAw3W6d9+9jeJxFpbNu2bYkOISpffNH0goT/+Eds5/R8co+2JQON
  K/fZs10SnjMH9uxxVbvxLQJ3ww1wzjnu82HD4K233BWvvXq56hzgnnvgmWfc59ddV39ef3IfPRrO
  OAN+9SuXnAN98YVL3qedFjrW6dPr16dp0wbuvhueesotbTBmjJu/LyLfDHfc4QrL7t3jd07PJ/dQ
  0yDDycpybZzKSvf59u31vXR/v93vppvqP/dX7vn57nO/m292Hw35k/u6dW6O+oIFjZP7ggXwn//p
  pmpG4+c/dx9btsC//7v7hRRhiQkRSSHr18Nf/uIKxliYCCsWe77nHkvlbkzwoGphYX1y90+DDGXA
  ADdI+vHHwe2XcPzJfcECuOoqV/UfOBC8z4IFrpceqwED3Bo5770X+7EiknxqamDTJreUSjylVHKH
  4L57YaFL6nv2NK7cA6Wnu0HWl19uXnI/6SR47bX650tKYO1aOOus6OMOpAFWkW8Ofzum4fpZRyol
  k3tg5d63r6veIyV3cO2YtWuD2zLh9OoF777rqv2TTmqcjP2rVPp797Hyz9Rp7u0ARSR5+C+QjLek
  SO6x/EbzJ/dDh2D/fjegmZ8fuS0D9RV7tMm9oAAuuMD1xSdPhsWL3WuCm/XSnJaM34gRbnbQmjXN
  P4eIJAf/BZLx5vkB1eZW7jt3ut718OHuN2N5uUua4QwdCt26QadOTb9Gr17uX38CP/ZYN1/+ySfd
  qpNvv+1WrGwuY9y5H3/cXS3rl5kJo0aFHkQpLXXjDQ1Z637JdejQ/HjAXbS1erXrD3bvDv361T93
  4IAbEBLxitGj3c+LX7ifj8Dv60j69Yt+JktRUWyzXvLzYdy46PePlueTeyyzZaB+QLWw0CXhoUPh
  n/9054jUljnllMYzXsLp3Bl++EM488z6bbffDr/5jfv8ppvchU5H4ppr3PTLwNk6W7a4KZIXXhi8
  75Yt7pfYjh0utkBPPw2PPQYrVx5ZPPPmwYwZ0KeP+2W5fXv913jttW6O7pF+zSLxUFLiZqo9+KB7
  vHEjnHCCywkNE/wTT7hpyX36hD9faakrDF94oenXLi6Gb30rtosc/UuexJ211hMfLpTGHn/c2muu
  CflUSFOnWjtzprXPP2/tf/yHtZ9/bm3//taefrq1b74Z/Xm86NFHrb388sbbH3rIWrD2qacaP3f+
  +e65bduO7LXPOsvav//dfZ6X595fa62tqLC2XTtrS0qO7Pwi8bJ6tbUDBlhbW+se/+Y37mfgmWca
  73v22dbOnx/5fG+8Ye0ZZ0T32ps2udcqK4tu/9paazt0sLa4OLr9G/LlzZA5NSl67s1py/gr9wED
  XItm+/bIPfdkcOGFsGiRu5I20IIFcOmljWfYfP21axFddFH9OjnNUVoKH3zgrqSF4AHkpUvdRVeR
  /ioSaUmjRrk2y7p17nG4n4/SUnc/CP/3dTht2zae6hzOwYPu32gXFywuduNrR+PnJ+WTu3+a45Yt
  yZ+AevVyyyIE3vy8qMjdWOT3v4fly10by2/xYtduuvLKI5tauXChuxLXP7A9ebKb+nno0JEPHovE
  m3/MasEClwcKCuB3v3O34fQnX3CF0vjx7grxSNq1c4VSNGJN7v7B1EgXIzVXyiX3hj13qB+JbtiP
  TkaBC5qBm5ufl+cGcMaNC55v77+Q6uyz3cyb5i52FrjIGbjXGjECXn/dJX4ld/Ea/8/JSy/BhAlu
  0sPYsbBkSf0+Db+vw2nX7uhV7kdrpgwkSXKPdSpkaWlwch861C3EFTh6nqymTHHfsP4lhwMr54su
  qr/xR2WlS/QXXODm2599tpt/H6uKClfxTGpw+/MpU2DqVOjfP/JglEginHSSuw7l0UdDr74a7vs6
  lLZtj17lfrTmuINHZ8tUV7vklZnZ/LbMnj3BlXuyt2T8cnPdXycLF7p203vvwfz57rnJk+GXv3SX
  Mr/3nquu/VOypkxxM2e++93YXm/ZMnef14ZTRKdMgZ/9DGbOPOIvSSTu0tJcYfPss+6CQnBjVjNm
  uPWg3nrLVfLR/DWfk+OSdk1N4/WeDh92PfN0XyaNNrkXFbnctnZtfXzx5snk/vjj7jfaI4/EPhXS
  X7nv3Fmf3MeNC562mOxuvhluucV9ftVVrrIA6NHDJXj/UsKBN/6eMMH1HWNN7gAPPdR4W//+rpd/
  ySWxn0+kJVxzjStK/PmjTx+XSP3Lgvz2t9Gdp1Url+DLyhovxT11qrvG5dpr3eODB92y3ZGS+/r1
  7h7QXbu6AjbWxcKi5cnkvmOH+40Gzavcv/zSDZL4jxs4EObOjX+ciXL99e4jlKefDr29fXv46KP4
  xvHUU/E9n0g8jRvX+OKgZ59t3rn8ffeGyX3fPnffCL+DB90MvUjJ/YUX3C+eWbOaF0u0PNlzLymp
  X82xOcm9qqq+ahcROVLh+u6VlS5H+R08CIMGRU7uzV0xNlaeTO67d7v5n3v3xp7cMzPd/kruIhIv
  4WbMHDoUPP3YX7kXFYVe0mDbNnfNzSmnHLVQ63g2uaelueo91uQOrnpXcheReAlXuR861Lhyb9fO
  TXooLm68/0svuYHe9BZoiHs2uY8Z4+aAxjoVEpTcRSS+wlXuodoyrVvX3/OhoZa86M+Tyb2kBE49
  tT65q3IXkUSKpXJvmNxra13r5ssv3QJ7zb2JT6w8l9xratwI9Ekn1S/VG2tyP+EEtzKbiEg8HEnl
  ftNNbj79sGFw+eXNv4lPrDw3FbK01E03+ta3ml+5P/bY0YlNRL6Zmlu5V1XB88+7C6daupvgucrd
  f8ck/1zR8nL3ZomIJEqk2TKRkvuKFe6q8kS0iT2X3P33Os3IcAk+Pd19LiKSKJHmuTecChmY3BO5
  aqrn2jKBN7IeNswtIyAikkjhlv0NV7n36OHms3/2WfAS3S3Jk5W7/6YaQ4fGPg1SRCTewt2wI1Jb
  5vPP3Xz33NyWizOQ5yr3kpLgyj3WwVQRkXgLV7lXVrqb0Pv5k3uHDu7fRN7rwJOVuz+5jx6t+eoi
  knihBlStDV+5G+NuWv+977VsnIE8V7nv3u3mqYN7cxLVrxIR8Qs1oFpV5ZZJqa11n2dk1Cd3gA8/
  PDq3z4uWJyv3ZL+RtYikllCV+6FDcMwxrnXsr94Dk3siEzt4MLkH9txFRLwgVOV+6JC72jRcck80
  zyX3wJ67iIgX5OS4wdPAZXwrKyNX7onmyeSutoyIeIkx7u5uga2Zhm0Z/72fvXLRpaeSe2Wlu+Fs
  mzaJjkREJFjDvntlZXBbJnCmjBd4Krn7WzJeeXNERPwa9t39lXtOTnBy9wrPJXe1ZETEixpW7g0H
  VJXcI9Bgqoh4VcPKPXBAtbxcyT0iTYMUEa8KVbkHDqgquUegtoyIeFWonrvaMlFSW0ZEvKrh4mEN
  57kruUegtoyIeFXDZX/VlonBnj3uRrIiIl4TqnLPytJUyKiUlbnfjiIiXhOpctdsmSZ47c0REfFr
  WLmnxICqMSbPGLPBGFNgjPlFiOc7G2MWG2PWGGPWGWOujPbYQF57c0RE/EItP5DUPXdjTCvgUeBc
  YDhwqTFmaIPdbgLWWGtHAWcA/2OMSY/y2Dpee3NERPzCLT+QtMkd+A6w0Vr7hbW2CngemNxgn68A
  f7e8LbDHWlsd5bF1onlzdlfspqqmKoqwRUTiJxWXH+gFbA94vMO3LdA8YLgxZiewFrglhmPrRPPm
  /HDBD1lYsDCKsEVE4ifS8gPJmtyj8UtgrbW2JzAamG2MiXnh3oqKpt+c/JJ8dpXtalaQIiLNFW75
  Aa9OhYzmBtmFwHEBj3v7tgU6GZgJYK3dbIzZCgyN8tg6+/dP5/e/h8xMGD9+POPHjw96/mDVQb7c
  /yXF5cVRhC0iEj+hKnd/W6alpkKuWLGCFStWRLVvNMl9JTDIGNMX2AVcAlzaYJ984CzgXWNMdyAX
  2ALsj+LYOjU107n3XndH8VA2l27GYikpL4kibBGR+MnOdjcTqq6G9PTQA6rZ2Uc3hoZF74wZM8Lu
  22Ryt9bWGGNuApbg2jhPWmvzjTHXu6ft48D9wFPGmLWAAe6w1u4FCHVs2GDSwyd2gII9BaSZNIor
  VLmLSMsKvNVex47eH1CNpnLHWvsaMKTBtrkBn+8GJkV7bDhNvTEFewoY3WO02jIikhD+vnvHjt+c
  AdW4iCa5n9znZLVlRCQhAvvu/rZMVpZr15SXK7mHFU1yP+W4U1S5i0hCBM6Y8Q+oGuNy1549Su5h
  RZPcx/Uex/5D+6murW6ZoEREfEJV7uCmQyq5RxDpjSk9WMrB6oP0atuLjlkd2VOxp+UCExEhePGw
  wOSena3kHlGkN2bj3o3kds7FGEO3nG5qzYhIiwtc9tfflgGX3GtqlNzDivTGFOwpILdzLgDdcrpR
  UuEGVbfv386VL11Jra1tiRBF5BssUuUOSu5hNZncO7nk3jWna13l/kHhB/x57Z95es3TLRChiHyT
  BVbu/nnuoOTepKgr9+z6tkzBngLOHnA2dy67k32V+1oiTBH5hgqs3P3z3KE+ufuTvRckTXL399zB
  Ve7+ue4Fewq4ePjFXJB7AdOWT2uJMEXkGypwKmTDtox/WqRXJE1y37x3MwM7DQQIGlD1V/Qzz5zJ
  kx8/yYFDB8KfRETkCPinQtbWuguXAqdCeqklA0mS3Ktrqyk7XEaHrA6AL7lXBCf3Ltld6N6mO0Xl
  RS0Vroh8w/gr98OH3eq1/ko9O1vJPaJwb87+yv20z2pPK+PC7Zrt2jJ7KvZQVVtFt5xudds1RVJE
  jhZ/5R7YkgEl9yaFe3NKK0vpmNWx7rG/LRM49z1wu4jIkSo9WMrBqoNB2/yVe+Acd1Byb1LY5H6w
  tK4lA/VJvGBPAYM7DQ7arkXFRCQefvr6T7ny5SuDtqlyb6aIlXvr+sq9Q1YHKqoq+LT407oZNKC2
  jIjEz8qdK1m8cTHLti6r2+av3APnuIOSe5MiVe6BbRljDF2yu/Du9neDknvglasiIs1VfricraVb
  mTdpHjcvvpmqmiqgvnIPnOMOSu5NirbnDi6Rf7Tzo0bJXZW7iByptUVrOb7r8Xx/+Pfp1a4Xs1fO
  BlyOqqqCsrLg5K6pkE2IWLm3Dk7uXXO6crjmcFDPPXBZAhGR5lq1cxVje4zFGMMjeY8w8+2ZFJUV
  YYyr3nfvDm7LnH46/OhHiYs3lKRI7vsq9wUNqIKr0rvndKd9VvugbWrLiMiRWv3Vasb0GAPAkC5D
  uGrUVUx9cyrg+u4lJcGVe58+cO65iYg0vKRI7iHbMtndgloyoLaMiMTHqp2rGNtzbN3ju0+7m6Wb
  l/Kv7f+ibdvGyd2Lkie5N2jLdG/TvVFy75Ldhd0Vu7X8r4g028Gqg2zau4kR3UbUbWt7TFsePPtB
  bltyW13lHs9Fwv667q98vOvj+J2QZEnuBxtX7teNuY4Z42cEbctMy6RNZhutDikizfZJ0ScM6TKE
  Y9KDS/NJuZP4tPjTuFfu2/Zt45pXrqkbtI2X5EjuISr3ztmd6dWuV6N91ZoRkSOxapcbTG0oOyOb
  iqoK2razcU3ut71+G5d96zIWbVwU165DciT3EJV7OP51Z0REmmP1rtUhk3taqzQyWmWQ3a4ybm2Z
  1ze9zidFnzB7wmw6ZHVg9a7VR35Sn/S4nSkOIlXuDWfLhBOpct9XuY/LXriMv3//72RnZIfcp6a2
  hvOePY9XLn2FrHT3v/f0mqeZtsKtFX9W/7N4cvKTUcUiIsmluraat754i+vHXh/y+ZzMHFq3K6ek
  pPURV+6Haw5z82s383Dew2SlZzFx8EQWFizk2z2/XbfPoepD5D2bx5bSLTGf3/OVe62t5etDX8cl
  uU9bPo3FmxbzSdEnYY8v2FPA0i1LWVe0rm7bqxtf5ecn/Zw3/+tN5q+fT+nB0qhiEZHk8seVf6RP
  uz5BCTZQTkYOx7Qtj0vl/vD7DzO402Am5k4EYGKuS+6Bfvev39Emsw3/vPKfIT8i8VRyz8xsvO3r
  Q1/TJrMNaa3SojpHuLnu64rW8dynzzFl6BRW7VwV9vhVu1YF/ev//KwBZzGo0yBO73c6r29+PapY
  RCR5FJcXc88/7+EP5/2hbqXZhnIyc8jMKaei4sh67oVfF/Lguw/ycN7DddtO6nMSW0q3sOvALgC2
  79/OQ/96iFl5s+jboW/Ij0g8ldxDvZ+x9NshePEway1FZUUUlRXxk8U/Yfr46Zwz8JyIfa3Vu1bT
  t33fun1KD5ZSXF5cdyWs/0+nSKprq4Me19TWNBl3w2MAdlfspqisKOLdpUId539NTQmVWIX7fmoJ
  NbU1dT+vldWVR3Qea23U+5eUl1BUVsQv3vgFl4+4nOHdhofdNycjh8ycCqB5yd3/WrcvvZ3rx17P
  oE6D6p7LSMvgnIHn8LfP/kZRWRE/W/IzfnzijxnQcUDsL4THknsooWbKRBLYlnng3QcY9IdBjJwz
  ksy0TK4fez1je4wNqsobWrVrFdeMvqZun4+/+phRx46q+8thQu4EFm9aHPaH4C9r/8L4p8cHbTvj
  z2ewdPPSsK9ZWV3J8MeG87+f/G/dtnmr5tHv4X6MnDOS3r/vzaa9mxodN/ejuYyZO6ZuUaNAl714
  GT959SdhX1OkoY17NtLtt934tPjThLz+f730XwydPZQRfxzBtx//NodrDjfrPJe8cAk3L745qn1n
  vT+L/rP6M3LOSD7e9THTx0+PuH9OZg5pWeVA7G2ZZ9Y+Q79Z7md6095N/OrUXzXa58pRV3L/O/cz
  cs5Ivtj/BVNPmRrbiwTwfnKPsXIPbMvMXz+fRZctouj2Ipb8cAlprdIY0X0EBXsKQlYGtbaWj3d9
  zFWjryK/JJ9D1YdYtXMVY44dU7dP73a96dOuD+/veL/R8fsq93HH0jtY89UaCr8uBNyfX29/+TYv
  5L8QNubfvvtb2h/TnjuW3sH+yv3sqdjDXcvv4r1r3qPo9iLuOvUubn3t1qBjSspLuHv53WSkZfDo
  h48GPbd081JWFq7kxQ0vxnX0XVKXtZZbXruF3M653Lz45pgq33hYvnU57375LoW3FVJ0exHHtT+O
  P3zwh5jP8/qm11m9azXz189v8qKgXQd2ce8/72X19aspur2INT9aE7ScSSjZGdmktXbJPdbKff76
  +cybNI+i24tYed1KcjJzGu2TNyiPr27/iqLbi/jg2g/CTvyIhveTewwzZaB+8bDCrwvZWrqVk/qc
  FPR8VnoWuZ1zgwZM/Tbt3USn1p3o3a43AzsN5LOSz1j91eqgy5DBDXwsKljU6Phpy6cxechkLhhy
  Aa9ufBVwg7FjeoxhYcHCkD8w2/ZtY9YHs5j/vflMGDyBGW/N4K5ld/H947/PyO4jAbhl3C1s2rsp
  qB1057I7+cGIH/DXi/7Kr9/5NV+VfQXUj8DPypvFzO/O5KZXb1J7Rpq0sGAhW/dtZfkVy9l7cC/z
  189vsdeuqqniJ4t/wu/O/R3ZGdkYY3g472Huf+f+uv5zNPzf+4/kPcJ9372PmxbfFPGX1C/e+AXX
  jrm20ZXukeRk5GAyY0/uB6sOsmLbCvIG5UV/0BHy1FTIUJpTuReXF/PqxlfJG5RHeqvGX6K/NXNi
  rxODtgeuJzGmxxhW7VzFqp2ruPPUO4P2m5g7kSteuoKTjzs5KM7nPn2O9T9ez5LNS/i/z/6P68Ze
  x6KNi/jpuJ8yfcV01hatZdSxozhcc5hlW5dRXVvNYysf45Z/u4W+Hfry6zN/zfGPHU+aSSP/x/l1
  585My+SR8x7hhkU3YK2lpKKEfxT8gw0/3kD7rPZcPepqblx0I1ePvpplW5fRv0N/JuZOxGKZu2ou
  9751b6NfUCJ+1lpuff1W5kyYQ+uM1vzhvD9w2YuX0Tq9ddiBxXh6a9tb9GzbkylDp9Rty+2cy3Vj
  ruPGV2/kmtHXRHWeN7e8yeBOg5mQO4FaW+u+9/95b90CYIF2HtjJsq3L2HDThphizcnMARNdW2ZL
  6Rb6dehHK9OK5duWM+rYUXRq3Smm1zsS3k/uMfbcO7fuzL7Kfbz8+ctcNuKykPuM6TEmZLti9a7V
  dS2YsT0nHUiiAAAOZUlEQVTGsnzbcgoPFDK0y9Cg/U7seSKnHXcacz6aE7R97sS5dMnuQt6gPH60
  8Efsq9zH8m3LefKCJ/lo50csLFjIqGNHcc9b9/Bi/osM6DiArjld+fnJPwfcXx1zJswhMy2z0dd8
  zsBz+MGIHzB31VwAnpj0RN2fkHeddhc3LLqBOR/NISMto26032CYN2kedy+/m5U7V0b9Hso3z+Uj
  LufsgWcDcGrfU7nh2zfUfa8dbRlpGcw+f3ajXyR3nnYnP1r4o0Y/Z+H4iyCAVqYVT0x6gruX382H
  hR+G3P9Pk/9Em8w2McWak5GDpenKvaqmirGPj2Xmd2dy44k3srBgYd2UxxZjrfXEhwulsalLp9r7
  3rov5HPhdHmwiz3m3mPsnoo9IZ//1/Z/2TFzxzTafsbTZ9jFGxdba619+4u37TH3HmPHPTEuptf2
  O+VPp9ibX73ZnvKnU6y11i7dvNSOe2Kc3bhno+38QGe7Y/+OZp1XRBLn9tdvt//92oMWrH3ppfD7
  Ld+63Pb5XR/b9cGutris2B73++PsZ8WfxT0eX94MmVM9X7nvq9xHn/Z9YjqmW043hnYZGvZPoBO6
  n0B+ST6Haw6TmeYm11trXeXu+xPO3z4JdRlyNCYOnsidy+5k5ndnAnBa39NYX7Keq1++mjtOviPk
  ujgi4m05mTlUVTVduS8qWMTVo69mX+U+vjf/e6SZNIZ1GdZCUTqeT+6h1nJvSrecbuQNDD9w0Tqj
  NQM7DeS212+jc+vOAJRXldP2mLZ0y+kGQJvMNgzpMiRkvy4aE3MnMvXNqXV/imWmZXLWgLP4tPhT
  bh13axNHi4gX5WTkUHS4mPT0yMl94caFPDPlGQZ1GsSQR4dw8fCLW2T8IlBSJPdYZssA3HXqXXUz
  TcJ54KwHWFlY34dum9mWWXmzgvZ5+NyHw16G3JTjux7PSxe/xPFdj6/bds/4e7DYur8WRCS5uJUh
  y2nbNvyA6qa9m9hXuY8xPcbQyrTi5Utepmfbni0bKMmQ3EPcP7UpZw44s8l9zh98PucPPj/iPucO
  av59s4wxTB46OWhbpCvfRMT7cjJzKK8qp1278JX7ooJFTBg8gVbGzTQf13tcC0ZYLynmucfalhER
  ORpyMnIoP1zO5MnuvqmhLNyYgJkxIXgyuS/ZvIS/rP0L0LzKXUTkaMjJzKGiqoJZs6Br18bPlx8u
  5/0d73PWgLNaPrgGPNeWKTtcxtUvX01FVQXj+41nX+U+Ve4i4gk5Ga4tE86Or3fQo02PmOfPHw2e
  S+73/fM+zuh/BgM7DuT6hdeTlZ5FRlpGosMSEXE998Phk3txeTFdc0KU9AngqeResKeAJ1Y/wbob
  1tEhqwPHP3Z8zDNlRESOluyM7IiVe0lFSd106kTzVM/9/nfu52f//jN6tO1B64zWPHzuw0HrHYuI
  JJJ/QDWc4vJiumUruTey68AuRh07qu7x5KGTWXbFsgRGJCJSzz8VMhwvtWU8ldzLq8obrXHsnysq
  IpJoORlutkw4JeVqy4RUfricnIzGC9iLiHhBVnoWh2sOh711ZnFFsZJ7KKEqdxERrzDG+JYgCF29
  F5cX0zVbbZlGVLmLiNdFmjGjtkwYFVUVqtxFxNMizZgpLldbJqTyqvIjuiGsiMjRFm7GTE1tDXsP
  7qVzducERNWYp5J7dW01x6TFeEtxEZEWFK5y33twLx2yOoS8b3MieCq552TktPiC9iIisfAvHtaQ
  l1oyEGVyN8bkGWM2GGMKjDG/CPH87caYj40xq40x64wx1caYDr7nthlj1vqeD32nWh/120XE68It
  HualC5ggirVljDGtgEeBM4GdwEpjzMvW2g3+fay1DwEP+fafCNxqrd3ne7oWGG+tLW3qtTRTRkS8
  LjsjO2RbJhkr9+8AG621X1hrq4DngckR9r8UeC7gsYnydVS5i4jnhavcSypKPLOuDESXdHsB2wMe
  7/Bta8QY0xrIA14I2GyBpcaYlcaY6yK9kGbKiIjXhVv2N+naMjGaBLwT0JIBONlau8sY0xWX5POt
  te+EOlhtGRHxukg995HdRyYgotCiSe6FwHEBj3v7toVyCcEtGay1u3z/lhhjFuDaPCGT+/ZXtjN9
  y3QAxo8fz/jx46MIT0Sk5YSbLdMSa7mvWLGCFStWRLVvNMl9JTDIGNMX2IVL4Jc23MkY0x44HfhB
  wLZsoJW1tswYkwOcA8wI90JjLx3L9P+YHlXgIiKJkJORw56KPY22t8S6Mg2L3hkzwqbTppO7tbbG
  GHMTsATXo3/SWptvjLnePW0f9+16IfC6tfZgwOHdgQXGGOt7rWettUvCvZbaMiLideHWlvHabJmo
  eu7W2teAIQ22zW3w+M/Anxts2wqMIkqaLSMiXhdu+QEvLRoGHrtCVbNlRMTrQi0/cLjmMAcOH6Bj
  644JiqoxTyV3tWVExOtCVe67K3bTuXVnT905zjuRoLaMiHhfqFvtea0lA15L7qrcRcTjQl3E5LUL
  mMBryV2Vu4h4XKjZMsu2LmNI5yFhjkgMbyw87KPKXUS8ruGA6qa9m5i3eh6f3PBJAqNqzFOVu2bL
  iIjXNRxQvfW1W7nj5Dvo2bZnAqNqzFuVu9oyIuJx/srdWsuijYvYuHcjL178YqLDasRbyV1tGRHx
  uIy0DFqZVhw4fIBbXruFP074I5lpmYkOqxFPtWVUuYtIMsjJzOGet+5hZPeRnDPwnESHE5IqdxGR
  GOVk5DB31Vw++ZG3BlEDeSu5q3IXkSSQk5nDtWOupX/H/okOJSxjrU10DAAYY2xVTRXprTz1+0ZE
  pJGVhSsZ0X0EWelZCY3DGIO11oR8zkvJ3SuxiIgkg0jJ3VMDqiIiEh9K7iIiKUjJXUQkBSm5i4ik
  ICV3EZEUpOQuIpKClNxFRFKQkruISApSchcRSUFK7iIiKUjJXUQkBSm5i4ikICV3EZEUpOQuIpKC
  lNxFRFKQkruISApSchcRSUFK7iIiKUjJXUQkBSm5i4ikICV3EZEUpOQuIpKClNxFRFKQkruISApS
  chcRSUFK7iIiKUjJXUQkBSm5i4ikICV3EZEUpOQuIpKClNxFRFKQkruISApSchcRSUFK7iIiKUjJ
  XUQkBSm5i4ikICV3EZEUpOQuIpKClNxFRFJQVMndGJNnjNlgjCkwxvwixPO3G2M+NsasNsasM8ZU
  G2M6RHOsiIjEX5PJ3RjTCngUOBcYDlxqjBkauI+19iFr7Whr7Rjgl8AKa+2+aI5NZitWrEh0CDFJ
  tnhBMbcUxdwyWjLmaCr37wAbrbVfWGurgOeByRH2vxR4rpnHJpVk++ZKtnhBMbcUxdwyvJbcewHb
  Ax7v8G1rxBjTGsgDXoj1WBERiZ94D6hOAt6x1u6L83lFRCQGxlobeQdjxgHTrbV5vsdTAWutfSDE
  vi8Cf7PWPt+MYyMHIiIijVhrTajt0ST3NOBz4ExgF/AhcKm1Nr/Bfu2BLUBva+3BWI4VEZH4Sm9q
  B2ttjTHmJmAJro3zpLU23xhzvXvaPu7b9ULgdX9ij3Rs3L8KEREJ0mTlLiIiySfhV6gmw0VOxpje
  xphlxpjPfBdp3ezb3tEYs8QY87kx5nVfa8pTjDGtfBeXveJ77OmYjTHtjTHzjTH5vvf735Ig5l/6
  Yv3EGPOsMSbTazEbY540xhQZYz4J2BY2Rt/XtNH3/3COh2J+0BfTGmPMC8aYdl6POeC5nxljao0x
  nQK2HbWYE5rck+gip2rgNmvtcODfgR/74pwKvGGtHQIsw13A5TW3AOsDHns95lnAq9baYcAJwAY8
  HLMxpi9wHTDaWjsS1+q8FO/F/BTu5yxQyBiNMccD3weGAecBjxljQg7aHWWhYl4CDLfWjgI2khwx
  Y4zpDZwNfBGwbRhHMeZEV+5JcZGTtfYra+0a3+dlQD7QGxfrn327/Rk37uAZvm+o84EnAjZ7NmZf
  FXaqtfYpAGtttbV2Px6OGfgaOAzkGGPSgdZAIR6L2Vr7DlDaYHO4GC8Anve9/9twSfQ7LRFnoFAx
  W2vfsNbW+h6+j/s5BA/H7PN74OcNtk3mKMac6OSedBc5GWP6AaNw31jdrbVF4H4BAN0SF1lI/m+o
  wIEVL8fcH9htjHnK10p63BiTjYdjttaWAv8DfIlL6vuttW/g4ZgDdAsTY8Ofy0K8+XN5NfCq73PP
  xmyMuQDYbq1d1+CpoxpzopN7UjHGtAH+Dtziq+AbjkZ7ZnTaGDMBKPL9xRHpTz3PxIxraYwBZvvW
  KSrHtQ68/D4PAH4K9AV64ir4H+DhmCNIhhgBMMbcCVRZa59rcucE8l21/ytgWku/dqKTeyFwXMDj
  3r5tnuP7k/vvwDPW2pd9m4uMMd19zx8LFCcqvhBOBi4wxmzBrfXzXWPMM8BXHo55B67C+cj3+AVc
  svfy+/xt4F1r7V5rbQ2wADgJb8fsFy7GQqBPwH6e+rk0xlyJazdeFrDZqzEPBPoBa40xW3FxrTbG
  dOMo579EJ/eVwCBjTF9jTCZwCfBKgmMK50/AemvtrIBtrwBX+j6/Ani54UGJYq39lbX2OGvtANz7
  usxa+0PgH3g35iJguzEm17fpTOAzPPw+4y7SG2eMyfINhp2JG8D2YsyG4L/iwsX4CnCJb9ZPf2AQ
  7gLERAiK2RiTh2s1XmCtPRSwnydjttZ+aq091lo7wFrbH1fAjLbWFvtivvioxWytTegHbqGxz3GD
  CVMTHU+YGE8GaoA1wMfAal/cnYA3fPEvATokOtYw8Z8OvOL73NMx42bIrPS91y8C7ZMg5p/jfgl9
  ghuYzPBazMBfgZ3AIdz4wFVAx3Ax4mahbMJNHjjHQzFvxM04We37eMzrMTd4fgvQqSVi1kVMIiIp
  KNFtGREROQqU3EVEUpCSu4hIClJyFxFJQUruIiIpSMldRCQFKbmLiKQgJXcRkRT0/wEnRCZxeMfB
  /AAAAABJRU5ErkJggg==
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f79595c9410>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "source": [
      "data=shelve.open(\"./real_spe_scores/DECODA_MINIAE_REAL_SPE_H50.shelve\")
  ",
      "scores={}
  ",
      "#del scores_ordoned
  ",
      "for key,table in data.iteritems():
  ",
      "    scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)
  ",
      "   # if key not in scores_ordoned:
  ",
      "   #     scores_ordoned[key]=[scores[key]]
  ",
      "   # else :
  ",
      "   #     scores_ordoned[key].append(scores[key])
  ",
      "#data.close()
  ",
      "show_network_RSPE(scores,title=\"DECODA_MINIAE_REAL_SPE_H50\")
  ",
      "pandas.DataFrame(zip([x[0] for x in data[\"ASR_AE_H1\"][0] ],[x[0] for x in data[\"ASR_AE_H1\"][1] ])).plot()
  ",
      "data.close()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 108,
     "metadata": {
      "collapsed": true
     },
     "outputs": [],
     "source": [
      "data=shelve.open(\"./scores/DECODA_MINIAE_TANH_TFIDF_H30_DO.shelve\")"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 109,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "data": {
        "text/plain": [
         "['TRS_AE_H1',
  ",
         " 'TRS_AE_OUT',
  ",
         " 'TRS_SPARSE',
  ",
         " 'ASR_H1_TRANFORMED_TRSH1',
  ",
         " 'ASR_AE_OUT',
  ",
         " 'ASR_H2_TRANFORMED_OUT',
  ",
         " 'ASR_SPARSE',
  ",
         " 'ASR_H1_TRANSFORMED_W1',
  ",
         " 'ASR_AE_H1']"
        ]
       },
       "execution_count": 109,
       "metadata": {},
       "output_type": "execute_result"
      }
     ],
     "source": [
      "data.keys()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 111,
     "metadata": {
      "collapsed": false
     },
     "outputs": [],
     "source": [
      "data.close()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 141,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "scores/DECODA_MINIAE_TANH_H50_DO.shelve
  "
       ]
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd4FFUXB+DfTSONJARCC5DQe1U6SARp0osKFmwoCqj4
  CYIoEEC6iihIkyZKkWoAKVIiRUqAEDqEQAIJENJ73T3fHyebTULKStYsSc77PPtkZ+buzN27m7N3
  bplRRAQhhBDFk5mpMyCEEOLJSRAXQohiTIK4EEIUYxLEhRCiGJMgLoQQxZgEcSGEKMYMCuJKqV5K
  qetKqZtKqYm5bHdSSm1XSvkppU4ppRoZP6tCCCFyKjCIK6XMACwG0BNAYwDDlVINciSbDMCXiJoD
  eBPAD8bOqBBCiMcZUhNvA8CfiIKIKA3AJgADcqRpBOAwABDRDQDuSikXo+ZUCCHEYwwJ4q4A7mVZ
  Ds5Yl5UfgMEAoJRqA6AGgGrGyKAQQoi8Gatjcy6Ackqp8wDGAPAFoDHSvoUQQuTBwoA0IeCatU61
  jHWZiCgOwDu6ZaXUHQC3c+5IKSUXahFCiCdARCq39YbUxH0A1FFKuSmlrAAMA+CVNYFSylEpZZnx
  /D0AfxNRfB4ZkQcRpk2bZvI8PC0PKQspCymP/B/5KbAmTkQapdRYAAcygv4qIrqmlBrFm2kFgIYA
  1imltACuAHi3oP0KIYQoPEOaU0BE+wDUz7FueZbnp3JuF/mLjQUePADCwoBmzXJP4+cHNGkCmJtn
  X3/2LJCYCHTuDPj6Aq1aFS4v168Dt28D9esDFSoAjo7ZtwcGAtbWQEQE0Lhx4Y4lhDAumbFpIrdv
  e2DUKOCVV/JOM2wYcOrU4+sHDQK6dAGuXQOeew4o4GyrQF9+CfTpA4weDWze/Pj2mjWBKlWAd/+j
  8ysPD4//ZsfFkJRFdlIeBZMgnod9+7imfPgw/9U5eBC4ezf316xdCxw7BgQE8PIvvwDp6cCWLUBq
  qj7dr78CCQkeuHMHePhQv/6334ANG4CEBA6m4eFcCwa4tvzPP8DGjfqaua8vp330iF8HALduAX//
  nXv+Dh3KfrwjR4CQED4rAIALF7Jvzym/bYUh/6h6UhbZSXkYoIgb56k4SEsjAoimTSOqWpXos894
  vUZD5OZGtGDB46+5dIlfU7Mm0TffEN28yctbt/Lfbds4XVAQkVJE5uZE9va8LTmZKDSUyNGRHx9/
  zOvNzIhmzeLXDRzI6wCi8uX573vv8d8NG4isrIi0WqKpU4kaNeLnOd9T5cpEEybo1/XvT7R0KdGz
  zxKVKcP7Gj368fdWtixvs7Z+fL9CiP9eRuzMNa4a1CZe0vn4ALNmAfPnA/Xqce0b4Fq3uTnXkOfO
  BU6cAIKCgG3bgLJlAQ8PYOJEbkPWtSPfuQOcPMmvAYAvvgBq1ADWrwfOnQM0Gg7FGg0QnzF+5+JF
  4LPPgH79eNsPGRct0Go5T5UqcZ6cnIDoaH5Ur841aVtbrnmnpvJ6Pz/g6lVg5Upg927AxQX4+Wd+
  L1ZWfBYwaxYwaRIQFcU1/ehobg+/eJFr22vXAk2b8vt99lluJ4+LA1JSuNaue687dwLOztykAwB7
  9nB+nn++CD40IQTLK7r/Fw88pTXxQYOInJyIfvyRl6dN41orQDRxIlHbtkR//kn0zjtEw4fz+rJl
  iUaMIHr/faL27bnWPGyYvsbq4cG1YoBoxw4iZ2eugSul34fuMWgQP6KiiCIjif76i6hcuexpWrQg
  unOHyMGByMaGqHVrXt+zJ1GDBvz82jUid3fev1Jc63Z2Jrp/n9ctXsxnFkuWcHp3d86ziwvRSy/x
  urZt+b3Pn8/Lw4Zxzf/vv4nq1CG6cUNfbsOHZ6+5v/km0eefF+EHJ0QpgXxq4qUuiI8ezU0UU6YQ
  9e1LFB/PzRpz5nAwnDaNmy7ef1/fVLF4MdGrr3JTx+3b/LddO26CCAwk2rSJA/nevRxgAQ5mhw8T
  NW3KTRDlyhHZ2hI1bkx08qQ+HcAB98SJ7Pls2FDfjGFuTtSrF6+vXZuoShVeBojmztXvx8uLj3Hz
  JlGFCvyj0LUrN5c4OhKFhxP17s1BW9dc064dkaUl0Zdf8rJSvK19e/77zjt8/LQ0oo4dOZjrdOjA
  63Q8PPjxzjsFfw7vvss/SlFRREOG6Ne/8QaX0b9x7Bh/bidO8PswxLffEu3apV9etIh/bEuipUuJ
  tmwxdS5EYUgQz6JmTQ50trb87k+f5uB9/Dgv29tzkNy9m5evXCG6cIHT16nD+0hI4HbssDD9flNS
  OFj/8w+/bskSXk5M5O0eHkRvvcXpiHifuuBbp87jbc3PP0/UowfRwYOc5s03eX3r1hzgX3uNqGJF
  ooAA/X4mT+b2cF1+iIg+/ZR/MEJCeHniRG4/r1mTX+PoyGcOK1bwfgEO+ubmXA7PPMNpiIgGDyZa
  s0afx6pV+YdGo+GHuzu/zs2Nt2s0RHFxuX8OFSsSHThAdPmy/kdCoyGqXp3zkJ5u2Oep0RD98AOX
  708/EbVpY9jr+vTh8tLp2pV/CAyl1fKxi4PXXzf8DKm4vCdDabV5fweLk/yCeKkanaLRAPfu8Rjr
  xERed/Qo4O4ONG8OPPMMD7WztQW6dgXatOE28oYNgbQ0oEULfo2tLVCmDLcV61hZAUrxvgD+qxRg
  Y8PLPXrwPq2seLlKFf7bti0wdiynzapyZaB8eR7ep1sGeJ2jI/91dwdq1eJ8NG8OnDmjP77uOB4e
  PDSwalX98ttvA7Vr83JMDGBpyeO/u3Xj9/zJJ1xWXbrwCBhnZ07bogW/duRI4KefePSMnR2Xab16
  3L6u0fB4cgCYOZP7Dm7dyv7eEhN5RE1EBLfHazTc5l+/Pre9m5np95GfH34A7O2B0FB+PHyoH81T
  kMBAfVoi7ksw5Jg6333H/SHFga58DNGhA4+CKim+/Za/gxcumDonep9/DqxaZbz9lZqOzZAQHu6X
  ns7Luk7Cv/8G3Nw4GJw9m/01p0/rnzdsyIGyIC4uHJDd3LKv/+KL7Mu6zsGvvgL69n18P5UqcV4r
  VdIvAxy8dX91xwgLA77+mjtBX389+3769+eHTq9e/HjlFcDBgTtE4+L4n7dDB07j68t/n3sO2LSJ
  ywYApkzh4ZLe3kBSEv8wVKvG5aYbVglwh+3t2/ryCwnhyUKurtzxe/Mmr4+I4H8wAJgxg4O9pSWX
  9Zkz/EPTsCFvf/iQf6wssnxj79/nfPj58fbQUP5xSErS/3iGh3P+ra31ryPiDmonJ/1+IiLyD+JR
  UcCVK/zc0pJ/ADZvBmbP5uWnhVbL5aCrJABcNmYGVNeI+D2uXq3/LhiDrkPcxUgXpw4O5v8fS8vs
  n2tu7tzhvz4++kqYKWg0/N2sUoW/e2ZmPHQ56+f0pEpNTbxPH2DePB518eGHPBrk+ef1Qbwg77wD
  9O5dcDoLC95/rVr5pytThr+AukCS0wsvcM3dzo6DUNaauJMT0KkTMCDLVd3r1eNgbMh7ybqf3NLr
  jtWwITBwIDBkSPZtAQFcs6lenV//xx8coF97TX9GUbs2sHcv/+NERPAPwp49/IOlK8eICD4TAHgk
  jJ0d/1hVrszvrUkT/Y/uG2/wcbIKD+e/e/ZwkNWN3w8K0qdxcQGmTcv+ushIHl+vS+fnxwEhvyC+
  YAHnYdIk/myOHOHj79uX92tM4fBhYPDg7Ot0ZykFiYri8t6+nX8IjWX7dp5IZizVq/NZ2+efF5w2
  NBRo354/Y1NavVp/NhwRwRWAATnvyvCESkUQT0nhGsby5dxs8NNPXAN+4QUOfLomiPx88gk3txhi
  yRJ9TTA/Tk55B/E+fXhmJsCBTVcTd3bm13TtykFTR1eb19WaC5JfENedTbi7Azt2ZA+CunzcvMm1
  CHd3Dq6DBvHwRd2ZAsBBuWVLrpXfucNDF3U1I4B/CHx8+HmLFvzPpgviRPzc35+3h4TozxDCw4FL
  l7g23LWrfsbqxYv8/nXBWddcovshiIvjGbBBQUCjRvwPnprK/+Dt2/MxTpwAkpN50tY///Brjx7l
  WtMXXwDHjwMdOwI3bvA/4bp1BZe1VstBH+BgqqvR/xcCAri8ddLT+Uwtv+aU27f5LCgwkCsDrVs/
  /oNZGKGhXLbGoPssQ0N54tvVq5z348f5c9LkuAD2w4dAz57/rjnl5En+rhiTLl/p6RzEAwOzf06F
  USqC+NWrHGwmTOA2XZ0BA7g9WjfOuajNnAnUqVNwuqlT9T8gAwcCr776eBpbWw6iWWvN+dEF8Z9+
  ArZuzb7NwgL48Ueu8eSkq6Xrmnrc3PhUuXNnXj9nDue1bFng+++5CeTIEX6fu3ZxkD11CnjvPf6B
  +P57bt755hveV+XKvN86dfiUXvfP9/Ch/vn27YCnJwdjXVNR+fIcKFq31gfvgwf5r27G7fr1HKwP
  HuS+CDc3DgAXLvCPwZUrwIgRwF9/8Y9oly6c56FD+YxN9wOla+p69VX+hy/I1at89qHVch6+/LLg
  1zypoCA+bdf1+YSH8+ccHv54gNP55htg/Hh+rbs78OabPNvYWCIijDfbNzyc526sX89nfy+9BLz1
  Fn9uL7/8eI07NJTPuK9fN2z/6elcIfHyKjjtv6Gbse3vrz/ji4jgM8LCKvFBfN06/qds04Yn7PTo
  od/WuDEHK9ec9ykqIiNHFtymB/AXVNeG3ry5PmDm9Npr+iBbEF0Hae3auQf+MWMev/AWkH3/us5X
  QB9MR47kdvLmzfl5+fJcQ3rhBT6LcHPjAJr1VNLDgztV3d31NfHmzfnxww9ce4+K4mBLxF/+Bw+4
  Q1V33CZN+G+bNtxmP3YsT0YaOJCD0549PNkK4Pb3N97g/fv56YM4wLWj48e5JuboyGdvYWH8w6B7
  r7oyaNyYt61ezc1Ca9dykElM5FP9v/7is4PvvuOzwUePOC9+fhxU9u837LMCuBy0Wv2ypyf/aOek
  OwsZPx44cICbe1xdOZD//vvj/T4rV/L73bMHWLiQP5+BA/nHycvr8Us4rF9vWCfp5s18mYcxY7jc
  Q0O5DMeOzd7RvXev/mwL4DL58MPsZziLF/PZEcA/Bo0b8w9oy5b8A3nmDDel5daB+/AhX2AuPj7v
  gJmaqp9gd/Ag78MYzS/79/MZG6AP3BcucHOeTtamv6NH9f1IsbH8vTJIXsNW/osHTDDEsEoVHlK3
  enWRH/qpFhXFwxz/rfXriSwseBjgzz8TJSXxOO2s3nmHh7UREa1cyWmXLuWJSbox4SdP6odGLlvG
  60JCiK5f58lJ167xcqdORJ6ePJyxdm0iHx++DIK9PQ9TJOLx+GfOEG3cSLRuHY91143DX7OGvwM1
  a/L6UaN47L9GQzRzJl96oEoV/aUWAD7WjBlEZ8/qx80DRH5+fLxvv+XlyEge/29vz8Ml3d15ktT6
  9Xz8QYOIxo/Xv/7kSR7aCBB98UX28fEFfVYA0a1bvBwezssNGz6etkMH/fGaNSOqVo3z0b+/fvho
  Vrq027fzEM2bN3n922/z/83LL2dPX706l01+kpN5nxUq6PcP8OQ4GxsuI53+/fWT7LRa/ow//pio
  bl1eFx/Pn8Hmzby8bx9R9+78fOHC7PsHsv+fx8frLxVRrx4PF87NmTP64cRffMFl1KNH/u+xIFot
  f+feeIOXx4zhz2vgQB5SCxDZ2RHt2aN/jW5eCBH/Tzk56YceozROu4+O5rawR4+4tjt0qKlzZHwp
  6SmwMreCyjk+0YDt+bXH58fVFWjQALh8mWuk1tbcyZpVpUr6ERu62mvz5lxb0rVpZm27151l6Dp+
  AH2v/cCBfJkDXWfnK69wjT4+ntu1Af00/9atuTZDxE1nc+ZwM8a773IbPxEv684CWrbkETeff64f
  9dKqFXD+PJ+dNGzI+dd1oGatiZuZcb4rV+arSQYE8JnBunWc90mT+Hl8PKd1cOBaV1AQP9+1i/sM
  3nsPWLGCa2De3lxzW7oU+OAD7oTv2FHfv+Lnx2dOfn58xnHxIjchNGwITJ/Oterz5wFL6zSkpZjh
  0iVzEPEZUdOmXLOukeUeXbqaaY0a+v4XHV2TStYaaWQkjwz57Tcut5yOHePvha4ZTjf6SNe+vGkT
  9yssXsxlGhnJTWBHjnBeunblz+Gbb/i9jBrFn4NSXJbLlnE+dWdCrVrpR5npZK2JBwdzWl3/zksv
  ce34hx/4DKpSJc6zjQ2fdQ4Zwn9HjeJRRzlNmMDfn65d+Yxm3Dj+TpmZ8VDG1q05f61b85klEZf5
  /PncdPjFF7wPFxdu2nr2WT4r+fVXfcfnjRucN93w23v3sn9mucoruv8XDxRhTfzsWf5Ve+657JNy
  SpK2K9vS8aDjuW6LT4mn3r/2pr3+e416TI2Ga8oWFlwrzk1MDFFsLD/39uaaVFwcr4uJ0acLDuba
  2t5cshifEk9arZb++os/xxdf5NqyrkYJ8KUCcgoMJAK0dOR4At27x+suXyY6epRf4+urT5uWxrVj
  3cSo4GCu5fr46GtA3brpj5eUxOsOHuR8E/EkI4BrXLoav5MT1wJtbXlW7/GTyfTppzy7tmxZoqHD
  kgngmi7Ax/3qK/1xFizgv05OfNmDP/7g5SlT+Jjffcc1u2bNePZtjRq8vmtXnrT11tYPqPXYHzL3
  t2MHvx8vr+yToa5c4Rqvrpxyun+fa84JCbx85AjP8LW357ODnPr25XKZMYMv9wDwuqyXojh3LnvN
  2cqKH3XqcC16xAjeV6tWvL11a6LBLydnXizupZf47IaI31NQENdsdReF++QTfX7mzOGZ10Rcs9bN
  cHZ25rMmBwc+e9OtHzOGnwcEcH5171sH4DMFIj4LePllniT41Vf8nL97XKYLF/LscN37B/h7PmQI
  z0gOCeGzn+ee4+9MxYqcpnp1Trd6NREs48nLS3fsvGviJbZN/NEj/tu2bfZJOcVZQqq+US8+NR4+
  931wNexqtu1EhDtRd1BtYTWcCTmTbTsAaLQaxKc+fuc8IkJiWmK+x09MS4SZGdc069YFXKomIVWT
  +lg6Bwf9+O/q1bkWbm/P6xwc9OmcKyahSZPc+yR6/NoD+wP2o2VLXnZz41pa1htgVHaLfex1rq6A
  /YDJ6HHYCdWq8brGjbmTtFo1/eQpgPfXrp1+YpSrK9e2n31WP1SyfXuusdvaAhozLv+aNR+fhPX3
  31zbGzWK+zDs7LiDt1w5oNN+a1ytMhkHD/IxfZo8B3Scl9nZ5ecH+Pqlo0LVeDg78wXKbGyAmMQk
  /LmXcPEi18bmzOHymziRa+Lt2nGNODKS+wz8/HiU0skHR6CpeA7KJgY1a3I+lOK/Z84AFStybV/X
  kakrp5xcKqWjactkdO7MfRCDBvExmzThtvb27fUjgx494lpttWpca+7Shdfr/j77LJ8R6M6edFJT
  +XHrFtfidaOl2rXj9+Jz+wa2N7LGgDcDAXBbve4sTSkul8aNgT6DY9GyJbBoEdewr17lPoCBr/B3
  RDe5be5cPisfPZo/p2HDuObcqRPwv//x97VmTf579iyXT7ly3L5vZ8dnXB98AKxZw59Bx47Ap59y
  W3qPHkD37nwGcOIEf+9HjdKPjy9fnsugRg2udb/4IvfBVKjA+QD4Inh+foDfo/PAyHaGtc3nFd3/
  iweKsCau+1V/mi+dqtVq6VrYNUpNT6XwhPA804UlhNHJeyfJZb4LeV33ooTUBDoYcJDgCZr410SK
  TY6lyMRIqvZdNdp8eTPNOTaH4AmCJ2j07uzXll18ejH139ifNFoNxSbHZq5f47uGai2qRXEpuc9R
  /uP6HwRPUERiBBERxaXE0ahdo2jywcmPpU1ITaDE1MQs71O/LTwhnLRaLf187meCZ+7fh4TUBLKY
  YUHj94+nuJQ4uh8ZlTkNf+1arrHYVwyjMtPtKSktKfN1Mclcza8wvwLBE5SuSaeoJH2VMed3QavV
  Zr5G955y0mq5vbtKgyBymutEBwMOUlJaUubrxo3TXypg+PDs0/FTU4nCY+MInqAyM8sQzNJo8Hs3
  yGmWC2GSA5nZRhNANG5iDDn1Wkh91rxCkydzDX70pzFk/15/qjPmf+RcJYbmzE2n2Fii6GgtBYfF
  8nTy5HhKSUulNs9F0pIlXJt7FB9G8ARZTi9DVmOyX4NAo+F81qjBNcelS/lyxrnRarU0ZPMQenvH
  u9SyJV++oUvXFIpPTqS3P4wid3fe182bfA2cmTP5bOR//+P133/Pf3XtzTEx+vIPD9cSrOIea8+u
  V49o1Sp9uWu1RIM2vETwBK31/SXzEs179+o/67iUOPIJ8aHGSxrTgQO8vV8/orFjiayqXaY6i+pm
  7m/TjhgC+Bo7ialJFJsU/9j3Qve8e3e+zpDuwnGDB3MbdsWK+ss2b92qf11kJG+fNEl/FnH4RCyl
  pKfQvXv6Gj4RUWxyHCWnJRMR0f2oCEpN5XhVpQp/v4cPJ+r95c+EaWY06CX+fqM01sQfPtS3hxUV
  IkJUUlTmspa0CEsIyzP94jOL0WxpM7Rf1R4dV3dEaHz2rvWopChoSYtnVzyLkV4jUce5Dgb/Phij
  do/CwdsHUce5Dm5F3oLDXAeUn18edpZ2WHp2KZb4LEFb17YwV+a4FcVDAVI1qYhKisKGyxtwNOgo
  xu0bh74beXB5WEIYVvmugqWZJcYfGJ9rXk/cPQEAWHhyIe7G3EX1hdWx6fImbLi8ITPfiWmJuBR6
  CZ/s/QQzj87MXJ+cnoTEtERotBq0WN4Cp4JPYZo3Dz5PSE3AlUdX4PvAV/dDjzMhZ2BhZoFvTn6D
  hksawm1xRa6ZIKOmZhOJdi/9gxSKx43wG0jXpuPKoytwWeCC2cdmIyY5BmXMy2DL1S3o+WvPzPeg
  FBCdHJ159jD72Gy0X9UeYQlhSExLRPWF1XHi7gkkpydnviY2JQaoeAll+8yEQxkH9PqtF1y/c4Xj
  XEdEJkWiRetEDBzlhzp1CZ068THMzIA0TRquRvjBL/wMOlTvgNrOtdHnkwOIbz0Nb7V4G5WSPODQ
  bQladg3AT/HdEdNmAm7FX0DDjrfQbdxGrHRyQUrVQ4io+itiXm+EU+U+RtmywFyfyXhn31D4R95E
  2bn2aPNza9zt5oH587n/4FTwSbR1bYs0SoGmwkXcj7uf+V7MzIAajULx7bcZtX9foF49euw7mpSW
  hCOBR3A65DR23tiOV0ckY/FiILbdBNjPtcWvlStDU/4y3N35LKVDj1CsXcsjT1q0AKA0aNkuFr17
  83Lv3nwWpiUNYpJjsPXOSqg3eMaXtTWnr9s8HDdv6mvicamxiEqOxKGg/Zjy3BScCv4HLm48rCPe
  5TBqLqqJNb5r0OSnJjh3/xyuhV9DNfdkVGp6GZ6zE7B8TTzKtzyO29EBSNWk4kzIaXxw3R3PvL4D
  TZ+Jx+IzP+Kzvz5Fcnoy4lL1Z3S6eOHmxiNnXnszBY1e8MHufwKg1XKNPSVFnwYAIpMiYeeQio8/
  5lFY/frx2crP98di1flVcHXlsi/jGIOU9BSUn++Mj/Z+BCJC85UNcDvmBjp35mGtTZvyGcm9lMuA
  0uJcUMFjI0tsx2ZoqOGzFw2Vrk1HbEosnG2cc92+/dp2DN0yFD7v+aCOcx0cDTqKad7T4DvKFzHJ
  MbA0t0R8ajxcbF0QHBsMz789se3lbei/qT8UFJota4bNQzejjWsbJKYlwmWBC3rW7omyZcri0oeX
  EJYQhnH7x2HXjV1wKOOAqV2m4sczPwIAetftjVX9V2HEjhEY9cwodKrRCduubsPeW3sRGh+KHdd3
  YPGZxXgY/xCOZRyx9epWJKcn43Twacw8OhMA8Pdbf6Pp0qZ4q8Vb0Gj1g4rdndxx4t4JzO46G18d
  +Qqzj8+GlrSwt7JHu2rt0G5VOwR8HIDRe0Zj0+VNSNOmwd7KHhsubcDRt4/i7T/eRu1ytfFa09cQ
  HBuMpWeXwsnaCQ5lHDDj7xlYc2ENrMyt8GrTVzGg/gAsOr0IH7X5CJcfXUZNp5qwMrfCiB0jcPb9
  s7hjcQT4bCBcW70GXAQuP7qM5eeWY/m55WheqTm8bnjBa7gXhvw+BH/6/4kzIWcQEBmA2s61kZye
  jM5rOqNBhQaY4TED8/+ZD3sre1T+tjJeavQSopOj0WlNJ4xpPQZTu0xFRbuK+PLwl1h+bjngCPw9
  5G+s9l0NLWmx5sIa1FxUE3aWdkgwT8DHyz7Gqx0+w/24RFQtWxVTjkzBvBPz0LRiU/St1xfXwq9h
  Z1gf9LXvi69fmIoBjXzQd9HnuOG8AI7WluhZZxi2XNmCD/1aolHNRmiiaYy41Dgs7bMUu27swm+X
  fsOGSx2x4vwKEBFaLm8JZxtn+IXy+fbF05eQmJaIjZcPoXed3mjs0hi7/XfD7Xs3+H3gB1tLW1iY
  WSDprVZwabUDgSGtEPq7DT7btBQ1F32Oix9eRHmb8rgZcRPrL67HEp8lmNZlGg7fOYwKDfdBqx2I
  NMfrcLVwxQu1XoCm6TyUP/EzNh09h5iB3XFqzDXci7kHJJgBHb0x/Zo39u7aBZ/7Z/HNOico1Qif
  7P0EwbHBiEqOAlU7AavKt1CvpgMu2n0L/07zgTv34OZWDffj7mP0ntE4E3IGPWr3wOCGgzFw00CE
  JvwKh47LcTnuJizNLDFy10hoSYsV51dAS1rsfvQjol+eggnnO6L8kBZ4WPMHEGkx9chUrLmwBs0q
  N8Xx1KH4cM9wlDEvgxP3TqDPhj64FXkLZ987Cxc7/XUBnGoEw9W1Gu6WW4vpu6Yh/Z0UlD+4B82b
  d8CxY9z5qIsvgzcPxmtNX8Ps2e8hVZMK23rnMPHLFvBYdx1lrW2gFJCYkoK2P3dBDccaSNOmISo5
  Cmfvn0VYYhiO3T2Gka3qY+VKbhYLCgKs6TLszcrjgeYyLl7M/3oBSlf7KQpKKSqq4w0bxmOIc5sY
  86Q+3P0hAmMCsfc1Dow2ljaIS4lDTEoM7K3sse7COkz/ezqcbZwRlhgGBf5Zj54UjR7re+B0yGnU
  cKyBNQPWoNsv3eDh7oEjbx7B+APjseXqFtyNuQt7K3vUcKyBuzF3EZ8aj+fdn8f7z7yPYU2GZeZj
  0sFJeBiz04yiAAAgAElEQVT/ED/2/hEuC1xQ0a4i7n76+D3jUjWpKDevHBpUaIDg2GA8SniE91u9
  j0YujdCsUjNceHgB07ynQUMaBHwcgMr2lTH2z7H4yecntHZtDQszCxAR/CP9YabMEPBxACYcmAAX
  OxdUtq+MkNgQzOo2C01+aoJFvRZh6Jah2PbyNmy/th1Lzy6FlrQoa1UWPWr3gHegNwbUH4ADtw8g
  JDYEM5+fiZPBJ7HHfw9OjzyNKvZV8I7XO0hM4yC4ftB6WFvwIHoiwstbX4a7ozv2BxxA8MNExJrf
  wYt1X0RYYhgexD3AsCbDMLTRUDxb9VkAQIPFDXA76jY61egEVwdXLOy5EF8d/goP4h/AwswCu27s
  Qu+6vTGg/gCExIbg0J1DGN5kOKYcmQICITwxHIdGHMK4fePwWfvPcCXsCuZ3n59ZtkN+H4KLoRfx
  vPvzGN9hPN7+423ciryF6ORo+Lzng34b+2FIwyFYeGohzr9/HtHJ0Th29ximdpmauY+lS4EyTfYh
  qUwAxrQZg6ZLm6Jj9Y5Y1ncZTgefxol7J/C/9v8DAHyw+wOsOLcC217ehne93kW98vWwcchG1Pqh
  FjzcPXA17CpSNamITo7GgdcPoHvt7ui3sR9239yN73t+n/k5x6fGw97KHnUTRqC/xRKsdqyB1q6t
  4VrWFWXMy2DR6UXQkAbDmgzD7K6zse/WPuy8sROtgtZhsaqHWx/7IzwxHC9ueBHtHYdgY9C3AAB7
  K3s0qNAAkYmRuB11Bxbm5nix7ou4Hn4d4YnhGPXMKCw+sxhO1k4ITwyH/a23EVdtK6ytLJCqSUOi
  CoO51hrL+v2EUX+OhLWFNYY0HIK5L8xFFfsqqLe4Hsy0VgiJDkPdyq6Y+txU7L21Fy62Lph9fDYq
  2FZAmiYNU7tMxTq/dbgZFoBkbQIUFAgE31G+cC3rigl/TcDO6ztRr3w9+Nz3yfwsLM0s8c+7/6CC
  LXeg1fuxPr6vdh8BVWejkn0leK2ti7PlJuDIKxdw5nwS7vk7Y8E8c5wKPomOqzvi9WavY0H3Bdjj
  vwfver2L73t+j5lHZ6JBhQbY/sp2eAd647uT36G6Y3XcjrqNa2HXkKJJgZa0eLvF21g9YHXGdx1w
  cE5B0ugqeL3OJzgceBgx69YiNqgWiCj3doW82ln+iwf+wzbx3bv1vcnXrnGv+qFDuaeNTY6lB3EP
  CtxncloyBccE052oO7TXfy9VmF+Bqn5blYiIBm4aSI2XNCZ4guxn21PlbyrT82ufp1/9fqVz989R
  /R/rZ7ZL77+1n2osrEGdV3emWotq0StbXiHrr63pz5t/Zh7r1W2vkt0su8zXmE03o34b+hWYx74b
  +lLvX3vnub39z+0z9zl482C6+PBitu2jdo2iWotqZS5fDr1M045My5Zm0alFtPvG7jyPsfDkQio/
  rzz139g/c934/eOpw6oO1GFVByIi6vVrL1KeipafXU7wBPlH+NMzy5/Js108p7CEMKryTRWq+m1V
  +ufuP/TNiW/oTPAZ6rauW64jdCxmWBA8QVFJUVT5m8pU94e65LHWgx7FPyIi7hvwvuP92OsuPLhA
  8ARVWlCJHOY4EDxBqempj6Xzuu5FW67oL9Kt1Wrpf/v+R2P2jKG6P9SlRksaUXRSNH22/zPSGtgx
  s/DkQvJ94JvrtosPL9IMbx6g3Xl1Z/p036ek1Wrpw90fUmRiJL3n9R4FRQfRWzvfovgUbuvdcHED
  Dd48mCouqEjdf+lOzZc2J7tZdqQ8FbnMd6EzwWfIbpYdHQs6Rq2Wt6K2K9vSWt+1NOGA/h5+EYkR
  1P2X7lR+Xnlqu7ItERFptBpynudMLZa1oIaLG1LP9T3JbaEbabVaCk8Ip9G7R9P84/Np6O9DKS4l
  jo7cOULd1nWjff77CJ6gFstaUK/+cdRx3kiacngKDdw0MPM7qjwVTT08leYem5vt/f/q9ysdvn2Y
  lvkso57re1J0UjQREaVp0uitnW/RynMrqc9vfSg0PpS+++c7sphhQR/9+RE5zXV67DvW/ZfuBE9Q
  6xWtM49r87UNlZ9Xnsymm9Ho3aMJnqCvDn1FfTf0pa1XttLs2USVP+1Hq8+vpmdXPEvfn/yeAqMC
  qezssvTBrg+o+nfVyW2hG9nOsqXWK1rTC7+8QJYzLMlxjiMN2zqMaiysQWP3jCUiohvhNzKP23dD
  X6owvwLt899HD+MeUlRSFLn12El4qwud802nkX+MJMsvK+TbJl5ignjdujyxhIiHGfXtSxQdnXva
  Gd4z6O2db2cuXw69nGu62Udnk+McR4InqNnSZvT75d+p7OyyFJEYQbUW1coMFK9te40m/jWR4Am6
  8IBn0DyIe0DwBHVb140+2PUBOc11Io1WQ1///TXBE7T49OJsx9p1Yxetu7COJh+cTDP/nkmrzq+i
  ndd2Fvi+j9w5Qhsubshz+/j946ns7LIET9D92PuPbfd76Ec/nv6xwOPkJ02TRuP2jqN7MdnHqnld
  9yKv6zxGKjAqkL469BVFJUXR5wf44ta7b+ymZT7LDD7O4duHafV5w2ZtrfFdQ/v89xER0bi948h+
  tn22zta8JKUlkfl0c9pzcw9deXSFvv77a4PzR8RBz2KGRWbA/S+s8V1Dp4NPG5Q2KDqIXvztRTp8
  +zBtubKF1l1YR1MOT6Hx+8eT2XQzarOyDSWlJZH119ZUZmYZSkhNeGwfWq2WJh+cTFce6WfLjNgx
  IvM7deLuCVrju8ag/FT9tiq9vv118vYmuntXv77OD3Wo5bKW/7q8c/Mw7iF9eYjvDrLj2g5adX5V
  tu2rzq8iyxmWdDf6LvXd0JfgCeq3oR9NOzKNZnjPIHiChm0dRrUW1SJ4gnwf+FJgINHHv/5IXdZ0
  IfPp5tR2ZVuaf3w+ve/1Pmm0Gnp126s0bOswgifo98u/EzxBzZc2p6rfVqVyc8sRPEELTy4kIqKU
  9BQym25G7/7xLh25c4RWn19NbgvdyGmuE3Va3YlsP21BaPorxfNvMTX+tkPhgziAXgCuA7gJYGIu
  28sD2AvgAoBLAN7KYz+F/oDyUrEiz+4j4vGo+/c/niYiMYLuxdyjnut7Utd1XenCgwsUEhtC8MRj
  NXOtVktNf2pKb+54M/PXPDIxktr93I4WnFiQ+UvaZU0XOn//PCWnJdOkvyZRSnpK5j6+OPgFbbmy
  hcrMLEMDNg4gIiL/CH+CJ3KtBf4Xzt0/R6vOr6IJByYYXCMsafwj/Gmpz1KD0085PCXbyJ1/a+HJ
  hRQcE/zEry8qHVZ1oHd28m2YJh+cTBP/mmjwa8MSwnIdmVSQzqs7P1bLJiLqub7nY2eA/5XopGia
  cpgH3UckRhA8Qe97vZ+5fe6xuXQn6g7tuLaD4InM78L5++cJnqDPD3xOtRbVIsc5jtl+TDVaDf1v
  3/8oNT2V3v3jXfr+5Pc09PehmbFi1w39raS+PPRl5hkTEdHN8Js09fBU+ujPj6j8KxPJzl7/v/rL
  hV8KF8TB11e5BcANgGVGoG6QI800AHMynlcAEAHAIpd9Ff4TyIVWyxMGnJ15anK5ckQPHxKFxodS
  UHQQEXEBP7fmOXrhlxfIYY4D2c6yJYsZFrTXfy/BEzRmzxiKS4mjS6GXKDY5ln67+Bs1XtKYNFoN
  eR7xpMZL+J5ha3zXZH4o8AQdup1Hm02G8IRwgiey1Zane0/PcyifEEVlr//eAr+/xrbeb322Gr3O
  5sub82xK+i9ptBqymGGR6w9IUloSjds7LnM5XZNOXx76kpLSksgnxMegisHCkwup6rdVCZ6gq4+u
  GpSn4GCiBzlae/ML4gV2bCql2gGYRkS9M5YnZexwXpY0owA0JaKxSqmaAPYTUb1c9kUFHe9JJCXx
  gPwPP+QL72jtQnDyTCp+u/QbgqKDsLL/SlwNu4pev/ZCRFIEmlRsgjMhZwAAI5qPwKXQS7CxtIGT
  tROO3z2OPnX74PyD81jRbwWec3sO18Ov49z9c3itGV/79VLoJfxz7x98sOcDBH4SCDen/IfBzD42
  G5+0/QR2VnZGf+9CiMKp+m1VTOsyDaOeHWX0fd+NuYu/Av5CaEIoJnSYAEvzJ7uDiFIqz45NQ4L4
  EAA9iej9jOXXAbQhoo+zpDEDcAhAfQD2AF4hor257Os/CeIPH/J41OBgvs71M9ttUblsJfSr1w+X
  H13G+kHrsdp3NS6EXkC/ev3Qxa0Lnl35LGKSY6AhDaZ7TMdn7T/D5EOT0bxyc8w/MR8pmhTc/vh2
  ntclAYAFJxbgsw6fwUyV2OH2QpR4LZa1wIznZ6B//f4FJzaR/IK4scaJfwHAj4ieV0rVBvCXUqoZ
  ET02v9vT0zPzuYeHBzw8PP7Vgdq359p2jRp8YZlbt4Ddu/liRBYWwEObw0jWJKGKfRU8SniEgKgA
  LD27FLOOzcLU56birRZvAQCqO1THsMbD8NPZn1DNoRrsrOywqPciAEAb1zYIjA7MN4ADwISOE/5V
  3oUQT58JHSagfbX2ps5GNt7e3vD29jYoraHNKZ5E1CtjObfmlD8BzCKiExnLh8AdoGdz7KtQNXGN
  hmd47dnD1yno14+vSpaWxtcxOHI8EVW/rYoX676IwOhAWFtYwzvQGz3r9MS+W/vw+9Df8VLjlwAA
  W65sQRf3Ljh85zC61eyWbaC/EEI8TfKriRvSDuADoI5Syk0pZQVgGICc9724BuCFjINVAlAPgJFu
  PqT34AFfyjTrvRHT0vi5xu0vbLy0Ea1dW2Pm8zPxIP4BHiU8glIK+27tw3SP6ehWq1vmvl5q/BIq
  2lXEsCbDJIALIYqtAptTiEijlBoL4AA46K8iomsZnZlERCsAzAGwRinlB0AB+JyIIvPe65PRBe9/
  /uG/UVF8dbz4eOBc4x4YuQvYPXw3qpStggdxD1C2TFkMaTgEW65uweTOk2FhVmKvMiCEKKUMimpE
  tA/caZl13fIsz8MB9DNu1h4XGMjt3mvXcifmlCnAFbMNOHUpDP5kgc0vbUCfen0AABZmFghPDMfq
  AavxerPXJYALIUqkpz6yRUXxNYCHD+eaeOPG3IyybRuQbhmJmos+RELNVFTVtsts7waQOWLE3sr+
  qe51FkKIwnjqg/ipUzwKRSm+ldOoUUCtWnxx/GVnf0f3Wt2RmGAGR6vy2V63eejmAm9yIIQQxd1T
  H8SDgviOGkFBwJUrfBeNVq2Ah/EP4entiZ3DdsLF1gWE7KNeetftbaIcCyFE0Xnqg3hgIN/i6cYN
  wN8fcKwegp/P78X+gP14t+W7aFetnamzKIQQJvPUXU+8Tx++m3a/fnzPQ6X47iETJ/LdMmw/aYsz
  IWdgZ2mH4P8Fw8n6CW7ZLoQQxUhhx4n/p4h47DcAJCcDf/7J7eDHj/Oknjt3+KapANC5710ERAbA
  sYwjnG2cJYALIUo9kwfxrVsBy4xrwtzNuDmNlxffRdrJSXcfQH5u32YrBjUYhFZVWqFJxSamy7QQ
  QjwlTN4mHhPDf4n0k3n++AMYNIivTBgbyzc8jooCRuy4gOerPw9bS9vMW3cJIURpZvIgbp0RiwMD
  OYgrBdy/z00onTvzUMLfr/wOxzKOCIgKwMhWIzGgwYDM+1cKIURpZvIgHp9xncPlywEzM6BmTeD2
  baCZRwA+PvguxrccjxkHZ8DFzoXvWl6udp53mxdCiNLmqQjiTZsCv//OTSY//giYmwObb6yGf6Q/
  ph6ZipiUGPhH+iNVk4oqZauYOstCCPHUMHnHZkICt39/+ilgZQUMGwYMGJqI9RfXY0H3BfB96Ivh
  TYbj8w6fA4DcgEEIIbIw+TjxCROAihWBjz4Chm96F6+3eRHegd6ITI7E+kHrUfXbqtj72l60rNIS
  8anxsLeyL7L8CiHE06Ao7uzzRFauBPbuBcaMAa5HX8DOoNUISPJBRFIELn94GWbKDDc/ugmHMg4A
  IAFcCCFyMGnbxJEjfD0Ue3vgwsMLqGxfGZceXcLgBoNRzqYcAGQGcCGEEI8zaRCPi+O/dnbArchb
  GFh/IACgQ/UOJsyVEEIUHyYN4rGx/NfeHgiICkDHGh1Ru1xtdHbrbMpsCSFEsWHSNnFdTdzeHggI
  4jHg/h/5F3iXeSGEEOypqYnfjrqNmuVqSgAXQoh/4aloEy9jm4bo5Gi42Mpd54UQ4t8weU1cKSDF
  LBzlbcvD3MzclNkRQohix2RBPC2NH1u2ABrrR6hkV8lUWRFCiGLLZEF8yBCeZj9kCBCe9AgV7Sqa
  KitCCFFsGRTElVK9lFLXlVI3lVITc9k+Xinlq5Q6r5S6pJRKV0rle9udXbuApCR+/ihBgrgQQjyJ
  AoO4UsoMwGIAPQE0BjBcKdUgaxoi+oaIWhJRKwBfAPAmoui89qnVZl+WIC6EEE/GkJp4GwD+RBRE
  RGkANgEYkE/64QA25rfD5GT9c41Wg2N3j0kQF0KIJ2BIEHcFcC/LcnDGuscopWwA9AKwLb8d6ppR
  qlcHDt4+iD/9/0Rb17aG5FcIIUQWxp6x2Q/A8fyaUjw9PREbyxN8fvnFA9ej72BE8xHoVqubkbMi
  hBDFk7e3N7y9vQ1KW+D1xJVS7QB4ElGvjOVJAIiI5uWSdjuA34loUx77IiLCrVtAz55AQADw5aEv
  YW1hjSldphiUYSGEKG3yu564Ic0pPgDqKKXclFJWAIYB8MrlII4AugD4o6AdJifrb5B8L/YeajjW
  MCAbQgghciqwOYWINEqpsQAOgIP+KiK6ppQaxZtpRUbSgQD2E1FSQftMSgJsbPj53Zi7qO5Y/Unz
  L4QQpZpBbeJEtA9A/RzrludYXgdgnSH7S07WB/F7sfdQ3UGCuBBCPAmTzNhMSuLmlAdxDxCZFAk3
  JzdTZEMIIYo9kwVxGxtgy9Ut6F+/P6zMrUyRDSGEKPZMEsR1HZvH7x5Hz9o9TZEFIYQoEUxaE78V
  eQt1nOuYIgtCCFEimK4mbkMIiAqQIC6EEIVgspo4bCJgpszgbONsiiwIIUSJYLKaeKLNDdQuV9sU
  hxdCiBLDZDXxk2Vm4OXGL5vi8EIIUWIY+wJYBklKAoLsj2JM6+2mOLwQQpQYpqmJJxM0SIG1hbUp
  Di+EECWGSYJ4QlIazGAhd7cXQohCMkkQT9Ekw0KVMcWhhRCiRDFJEE9HMqyUNKUIIURhmSiIp8BS
  grgQQhSayWri0pwihBCFZ5ogTsmwMpOauBBCFJY0pwghRDFmsuYUSzNpThFCiMKS0SlCCFGMmSSI
  a1QKLKVNXAghCk2aU4QQohgzUU08GWWkJi6EEIVmmiCOFBliKIQQRmBQEFdK9VJKXVdK3VRKTcwj
  jYdSylcpdVkpdSS//UlzihBCGEeB1xNXSpkBWAygG4D7AHyUUn8Q0fUsaRwBLAHQg4hClFIV8tun
  RslkHyGEMAZDauJtAPgTURARpQHYBGBAjjSvAthGRCEAQETh+e1Qo6Q5RQghjMGQIO4K4F6W5eCM
  dVnVA+CslDqilPJRSr2R3w65Ji7NKUIIUVjGuj2bBYBWALoCsANwUil1kohu5Uzo6emJ8PMHcfWR
  DbzresPDw8NIWRBCiJLB29sb3t7eBqVVRJR/AqXaAfAkol4Zy5MAEBHNy5JmIgBrIpqesfwzgL1E
  tC3HvoiI4DZqHHp3cMeyN8f9i7clhBClk1IKRKRy22ZIc4oPgDpKKTellBWAYQC8cqT5A0AnpZS5
  UsoWQFsA1/LaoYwTF0II4yiwOYWINEqpsQAOgIP+KiK6ppQaxZtpBRFdV0rtB3ARgAbACiK6mtc+
  edq9lZHeghBClF4GtYkT0T4A9XOsW55j+RsA3xi0P2hhITdJFkKIQjPJjE2CFmZmJjm0EEKUKCYL
  4uZKgrgQQhSWyYK4Url2tAohhPgXTBPEiWAuzSlCCFFopmtOkSAuhBCFZrqOTWkTF0KIQjNNEFdS
  ExdCCGOQmrgQQhRjJoqkUhMXQghjkMk+QghRjMnoFCGEKMZMFsQtJIgLIUShScemEEIUY6aJpDLE
  UAghjEI6NoUQohiTNnEhhCjGTBRJSdrEhRDCCGSIoRBCFGMmvHaKXE9cCCEKy2TT7qVjUwghCk+u
  YiiEEMWYtIkLIUQxJpN9hBCiGDMokiqleimlriulbiqlJuayvYtSKlopdT7j8VV++5Nx4kIIYRwW
  BSVQSpkBWAygG4D7AHyUUn8Q0fUcSY8SUX/DDisdm0IIYQyGRNI2APyJKIiI0gBsAjAgl3SGjxlU
  UhMXQghjMCSSugK4l2U5OGNdTu2VUheUUnuUUo3y2yEpqYkLIYQxFNicYqBzAGoQUaJSqjeAnQDq
  5ZbQ09MT2lOhWKf5CTT0JXh4eBgpC0IIUTJ4e3vD29vboLSKiPJPoFQ7AJ5E1CtjeRIAIqJ5+bzm
  DoBniCgyx3oiIpiPq48TY7zQrm59gzIphBClmVIKRJRrk7UhbRo+AOoopdyUUlYAhgHwynGASlme
  twH/OEQiL0oLc3NpThFCiMIqsDmFiDRKqbEADoCD/ioiuqaUGsWbaQWAoUqpDwGkAUgC8EoBe5WO
  TSGEMAKD2sSJaB+A+jnWLc/yfAmAJYYeVG4KIYQQxmGyGZsW0pwihBCFZrpp93JTCCGEKDTTXcXQ
  XK4nLoQQhWW664lLTVwIIQpN2sSFEKIYkyAuhBDFmFxPXAghijGpiQshRDEmNXEhhCjGijySEkGC
  uBBCGEmRR1KtFoCSIYZCCGEMJquJSxAXQojCM01NHCRBXAghjECaU4QQohiT5hQhhCjGpCYuhBDF
  mGlq4mZaKMhVDIUQorCKPIhrNASQglISxIUQorCKPohrtUDuN20WQgjxLxV5EE/XaAGS9nAhhDCG
  og/iWgniQghhLKZpTjHVDYWEEKKEkeYUIYQoxgyKpkqpXkqp60qpm0qpifmka62USlNKDc4rjVar
  hZIgLoQQRlFgNFVKmQFYDKAngMYAhiulGuSRbi6A/fntT9rEhRDCeAyJpm0A+BNREBGlAdgEYEAu
  6T4CsBXAo/x2Jm3iQghhPIZEU1cA97IsB2esy6SUqgpgIBEtBfKfiqnRktTEhRDCSCyMtJ/vAWRt
  K88zkC/5fi7INwmenp7w8PCAh4eHkbIghBAlg7e3N7y9vQ1Kq4go/wRKtQPgSUS9MpYnASAimpcl
  zW3dUwAVACQAeJ+IvHLsi85eC0WbtU2hmRtq4NsRQojSTSkFotynuhtSE/cBUEcp5QbgAYBhAIZn
  TUBEtbIcbA2AXTkDuI5GRqcIIYTRFBjEiUijlBoL4AC4DX0VEV1TSo3izbQi50vy2590bAohhPEY
  1CZORPsA1M+xbnkead/Jb18yxFAIIYzHBDeFkOYUIYQwFtNMu5fmFCGEMAqTXABL7uojhBDGUfRB
  nKRNXAghjMUEt2fTQklzihBCGEXRd2xKTVwIIYzGJB2bUhMXQgjjKPJoSkQSxIUQwkjkHptCCFGM
  mWiIoQRxIYQwBtPM2JQgLoQQRmGau93naE5xd3eHUqpEPNzd3Yu6SIUQpZixbgphMA09XhMPCgpC
  Qdc1Ly6UktmoQoiiI23iQghRjEkQF0KIYkw6NoUQohh7Kjo2hRBCPBmTXMVQauJCCGEccj1xA0RF
  RWHQoEGwt7dHzZo1sXHjRlNnSQghAJhgiKG2GNbER48eDWtra4SFheH8+fPo06cPWrRogYYNG5o6
  a0KIUk5GpxQgMTER27dvx9dffw0bGxt07NgRAwYMwPr1602dNSGEMMXolOJ1FcObN2/C0tIStWvX
  zlzXvHlzXLlyxYS5EkIIVmyaU4wxEfJJJoXGx8fDwcEh2zoHBwfExcUVPkNCCFFIBkVTpVQvpdR1
  pdRNpdTEXLb3V0r5KaV8lVJnlVJd89pXiiYZZmT1rzNKVPjHk7C3t0dsbGy2dTExMShbtuyT7VAI
  IYyowCCulDIDsBhATwCNAQxXSjXIkewgETUnopYA3gawIq/9xaXGwFLrWIgsF6169eohPT0dAQEB
  mev8/PzQuHFjE+ZKCCGYITXxNgD8iSiIiNIAbAIwIGsCIkrMsmgPIDyvnUUnxcLGrPgEcVtbWwwe
  PBhTp05FYmIijh8/jl27duGNN94wddaEEMKgIO4K4F6W5eCMddkopQYqpa4B+BPAx3ntLCYlBrbm
  DnltfiotWbIEiYmJqFixIl5//XUsW7ZMhhcKIZ4KRuvYJKKdAHYqpToBWA+gfm7pLuz5E+lJdvD0
  9ISHhwc8PDyMlYX/TLly5bBjxw5TZ0MIUUp4e3vD29vboLSqoOt4K6XaAfAkol4Zy5MAEBHNy+c1
  AQDaEFFEjvXUZsb7cEpuhf2zRmVdX6KuJ15S3osQ4umQEVdyHaNnSHOKD4A6Sik3pZQVgGEAvHIc
  oHaW560AIGcA14lPj4GDVfFqThFCiKdVgc0pRKRRSo0FcAAc9FcR0TWl1CjeTCsADFFKjQCQCiAB
  wCt57S9RGwMHm+LTsSmEEE8zg9rEiWgfcrRxE9HyLM/nA5hvyL6StDFwtJGauBBCGEORz39PRiyc
  baUmLoQQxlDkQTwVMShvJ0FcCCGMociDeJJVMCrYSxAXQghjKPIgXiVkFFwcJIgLIYQxFHkQt33Q
  E3Z2RX1UIYQomYq+TTzBBra2RX3UwlmyZAlat24Na2trvPPOO6bOjhBCZCry64mnJloXuyDu6uqK
  KVOmYP/+/UhKSjJ1doQQIlORB/HkeJti15wycOBAAICPjw9CQkJMnBshhNAr8uaUmHBryP0UhBDC
  OIq8Jj5/jjVsbP7969T0wt+fjabJhamEECVLkQfxWjWeIIJDArAQQuSmyJtTKpe3LupDCiFEiVX0
  k31cil8Q12g0SE5OhkajQXp6OlJSUqDRaEydLSGEMEEQr/BkzSmm9PXXX8PW1hbz5s3Db7/9Bltb
  W8yaNcvU2RJCiILv7GPUgylFWq0WSqmc60vM3XBK0nsRQjwdCntnH6NnRgghhHEUeRAXQghhPBLE
  hYBKs4kAAARVSURBVBCiGJMgLoQQxZgEcSGEKMYkiAshRDFW5NPuc+Pm5lZiRq24ubmZOgtCiFLE
  oHHiSqleAL4H19xXEdG8HNtfBTAxYzEOwIdEdCmX/ZCMoRZCiH+nUOPElVJmABYD6AmgMYDhSqkG
  OZLdBvAcETUH8DWAlYXLcsnn7e1t6iw8NaQs9KQsspPyKJghbeJtAPgTURARpQHYBGBA1gREdIqI
  YjIWTwFwNW42Sx75cupJWehJWWQn5VEwQ4K4K4B7WZaDkX+QHglgb2EyJYQQwjBG7dhUSj0P4G0A
  nYy5XyGEELkrsGNTKdUOgCcR9cpYngSAcuncbAZgG4BeRBSQx76kV1MIIZ5AXh2bhtTEfQDUUUq5
  AXgAYBiA4VkTKKVqgAP4G3kF8PwyIYQQ4skUGMSJSKOUGgvgAPRDDK8ppUbxZloBYAoAZwA/KR7w
  nUZEbf7LjAshhCji64kLIYQwriKbdq+U6qWUuq6UuqmUmljwK4o3pdQqpVSoUupilnXllFIHlFI3
  lFL7lVKOWbZ9oZTyV0pdU0r1ME2u/xtKqWpKqcNKqStKqUtKqY8z1pe68lBKlVFKnVZK+WaUx+yM
  9aWuLACeh6KUOq+U8spYLpXlUChE9J8/wD8WtwC4AbAEcAFAg6I4tqke4BE6LQBczLJuHoDPM55P
  BDA343kjAL7g5i33jLJSpn4PRiyLygBaZDy3B3ADQINSXB62GX/NwfMqOpbisvgUwK8AvDKWS2U5
  FOZRVDXxAicMlTREdBxAVI7VAwCsy3i+DsDAjOf9AWwionQiCgTgDy6zEoGIHhLRhYzn8QCuAaiG
  0lseiRlPy4ArOFEohWWhlKoG4EUAP2dZXerKobCKKoj/2wlDJVVFIgoFOLABqJixPmf5hKCElo9S
  yh18hnIKQKXSWB4ZTQi+AB4C8CaiqyidZbEQwAQAWTvmSmM5FIpcita0SlWvslLKHsBWAJ9k1Mhz
  vv9SUR5EpCWiluCzkc5KKQ+UsrJQSvUBEJpxhpbf0OMSXQ7GUFRBPARAjSzL1TLWlTahSqlKAKCU
  qgzgUcb6EADVs6QrceWjlLIAB/D1RPRHxupSWx4AQESxAP4E8CxKX1l0BNBfKXUbwEYAXZVS6wE8
  LGXlUGhFFcQzJwwppazAE4a8iujYpqSQvZbhBeCtjOdvAvgjy/phSikrpVRNAHUAnCmqTBaR1QCu
  EtGiLOtKXXkopSroRlwopWwAdAd32JWqsiCiyURUg4hqgePBYSJ6A8AulKJyMIqi6kEF0As8KsEf
  wCRT9+gWwfvdAOA+gBQAd8HXlCkH4GBGORwA4JQl/RfgHvdrAHqYOv9GLouOADTgUUm+AM5nfB+c
  S1t5AGia8f59AfgBGJ+xvtSVRZb31wX60Smlthye9CGTfYQQohiTjk0hhCjGJIgLIUQxJkFcCCGK
  MQniQghRjEkQF0KIYkyCuBBCFGMSxIUQohiTIC6EEMXY/wHgSr+vpaIc3QAAAABJRU5ErkJggg==
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795883e850>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAJZCAYAAACTE4A9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzs3XmYXVWd7//3NwQVlUCYKpIJEFCwnRW8gm0xDyLg0BC0
  jYiINtoOV5m892rsQUXbVn4oXkXUqEAEUYk2l0kou6FVkEkwIQQhA4EUcxABCeT7+2PtIieVU6nK
  tE6Fer/y1JN99t5n73VW7arzOWutvSoyE0mSJK1fozpdAEmSpJHA0CVJklSBoUuSJKkCQ5ckSVIF
  hi5JkqQKDF2SJEkVGLokSZIqMHRJktaJiPheRPxT7ecOctxlEbHDGj73zojYe12XSSOXoUvqJyLe
  EBFXNcvLIuLPEfFIRNwXEZdFxBH99u+JiMebffq+LmzZvmlEfC0i5jfb5kbEv0fEFi37HB0Rf4iI
  v0TE3RFxRkRs1rL9sxHxZEQsab5ujYjTI2Jcm/JvFxFPR8Q3VuM1L4uIxRExqmXd6Ii4NyKebll3
  ZUQc0yy/uXne1/sd678iYmqz/N6I+K825+uJiAcjYuN+678XEX9tqcc/R8QNqyj3ni3fn0eb8jzS
  sm5Cy77fj4ilEdHV7xjTmue9s2XdRs26SS3l+qd+z5vc7LPK36NDeW7L97e17Nv12/+K5vqYFRH7
  rOqczXPeGxFPtdTlnyLiuxGxU7/9nhMRX2iuz79ExJyI+NRgx9+AOAO4hg1Dl551IiLW8hBvAf6j
  5fErMnMM8BJgOvD1iPg/LdsTOD4zx7R8HdaUZWPgCmAXYP/mOP8DuB/Yrdnnk8AXgE8CY4A3AJOB
  yyJidMt5ZmTmZsAWwNuAccB1/UMEMBW4BTiyf6gZxEPAQS2PDwIeHOQ5fwHe0xdOBrDCm15ETKa8
  9nuBQ9vsf2pLPW6ama8e8MCZVzX7jAFe1pxrs751mXlXc87nA28HZgF/36Z8DwCf63ftDOXNem3e
  0Ps/d0bLax6TmfNatp0LXEf53v9v4CcRseUQzvHfTd1sBuwLPE65ZnZt2ecnwF7AgcCmwHuA4yLi
  tDV5UcPQ2v4+kNYZQ5c6IiJOioi7mk/gsyNir4gYFRGfjojbm9acayNifLP/GyPimoh4KCJ+FxH/
  o+VYV0bEv0TEVRHxF2D7iBgTEWdFaTVaGBH/3PeGGhEvblpaHm5acs7tV7yDgYtaiwuQmQ9m5o+A
  fwA+HRFj++/TxnuBCcDhmTmnOc79mfn5zLw4IjYFpgEfyczLMvPpzFwAHAFsx8oBgWaf2cCRwH2U
  sNZqanPMB4C3DlCudn7YlLf1ONMHec7DwPeb8w3VVOAy4AfA0avxvKFq9714B3AncOoA57wEeJIS
  OFZ1nOqalqlXA9My86+Z+VPgD5TXNCRZ3JmZHwZ+TfP9alrM9gXenpmzM3NZZl5Due4+HAN0y0XE
  VyOit/k5valfiNsiIn7Z/Gz/JiK2b3neSyPi0oh4oPm5/7sBjj8rIg5uebxR87P6qubxGyLi6ub3
  wQ0R8eZBquAtTUvfvRHxpZbj7hARv4qI+5ttP4qIMQOUaZeIuCMijhzkXNKADF2qLiJ2Bj4MvLb5
  FH4AMI8SHo4EDmxadI4BHmvCzS+BrwFbAl8F/qNf6Pl74FjKJ/UFlLDwV2AHyhvWfs12gH8GLsnM
  zSmB6PSWso0DtsnMm1bxEi4ERtO0VA1iH+DizHx8gO1vBJ4L/Kx1ZWb+hRL89hvowJm5rCnLm1rK
  /yZgm+a5P2HFELUqCfwc+NsmsG4O7Nkcf7Dn/Svwjv7dVqswFfgxcD5wQERsPcTnrY33Nuf8BbBj
  RPRvPVsG/B/gsxGx0RCPuTahrN1z39q8+d8cER9qWf8y4I7mmuhzU7N+TfyU5dfMvsDvMvPu1h2a
  4HUX5fpdseAR+1OujR2bn9MjKAG/z5HAZ4HNgT9Rro++1sZLgR8BWwFTgDMi4qVtyngu8K6WxwcC
  92Xmjc0HsV8C/5SZY4FPARcM0vJ3OPCa5uuwaLrIKd+Hz1NajXeh/D6Y1uY1vwa4GPhwZv54FeeR
  VsnQpU54GngO8DcRMTozF2TmncD7gf+VmbcDZObNmfkQpbvvtsw8p/kkPgO4lRVbcb6fmbc2QWQL
  StfYJzLzicy8nxLYpjT7LgUmR8T4zHwyM/+75TgHU365Digzn6J0D27Rsvr0KGOUHmr+/1yzfkvg
  nlUcbivg/qbc/d3TbF+Vu/uVYyrwi8z8KyXUHBgRgx2jzxPATEo9Hdks/3WwJ2XmvcD/BQYdBB0R
  ewLjgZmZORf4Iyu+uQKc0K8uvzfE8g90zklAN3B+Zv6Z8v2d2uZ1/JLScnhs/239yvVgRDxICT5D
  Ndhzf0x5098aOA74TEuLyguBJf32f4TyAWNNtF4zWzHw9TnQ9be0OfeuERGZOScze1u2/ywzr2uu
  6bOBVzXrDwHuzMwfNC1vNwEXAO1au84BDo2I5zWPj6IEMYB3A/+RmZcAZOavgN9TfnYH8sXMXNJ0
  N3+tOR6Z+afM/FVmPpWZD1A+0PVvNftbyoePv8/M/7eKc0iDMnSpusz8E/BxyifKeyPinIh4ETAR
  uKPNU7YF5vdbN5/y5t1nYcvyZGBj4J6+N29KKOhrUTmBcu1f07QqvK/luf27FlcSZZzV1qz46f4f
  M3OLzBzb/P/ZZv0DwItWcbj7ga2i/WDsFzXbV2U8zbir5g3q7yhhi8y8kVJP/UNNO30tLz+kBJL3
  ULr/hupUSqvVKwbZbypwaWY+2jw+n5Vb477cry7fx9p5D3BLE/KgtAC+e4AWrf8N/C/geW229ZVr
  i8zcAhjstQ75uc0HhsVNGPkNcBrQN7D/UcpYv1abAX9ejfO3euaaoVxfA12fba+/zLwS+DrwDaA3
  Iv5vRLywZZfFLcuPUUIjlJ/LN7SEz4co12b/MYl9vyNmUVr/NqGM/Tu75ThH9DvOHqt4HVBa7frM
  p/xOISK2iYhzowx1eJjlrXCtPghcnZkr3RAirS5DlzoiM2dk5puAvgHYp1K6BV/cZve7KeObWk0C
  FrUesmV5IaXVZsuWN+/NM/MVzbnvzczjMnM88CFKF8cOTZh6M2W80aocTvm0f+1grxO4nBJGNhlg
  +28orUlvb13ZvIkd1Dy/rWaM2luB/2xWvZ3y5vytiLgnIu6hdJcMtYuR5o3lRZQu1qtX43kPUloQ
  /pkBBpc3ofAIYO+W8n0SeGVEvHyo51oD7wF2ajlnXzf1Si0jmXk5cDtwPJ296y1ZHoT/COwQES9o
  2f7KZv2aeDvQFyAuB3ZvuuyeERG7U66dK9oWLvPrmfk6YFfKDSYnDOG8C4GelvA5trlh4CMD7D+D
  EsoOA/7YtIb3HecH/Y6zaWZ+aYDjQPlA12cy5XcKlBtYlgEva4Yb/D0rd/1+CJgUEf8+hNcorZKh
  S9VFxM5RBs4/hzJ4+XFKl+N3gH+JiB2b/V7ejNu6iPKmOaUZUHskpSvmF+2On5mLKWNHvhpluoZo
  QtXfNsd9Z8ubzMOUX7rLKONUbmpphelf7rER8W7Kp/wvNl2fg/kh5U3igoh4SVOWLSPilIg4MDMf
  oXTLnR4RB0SZpmE7SnfTAson72eK0JRjo4jYhfKm1AX0vRlMBc4CXk55U35l85peGRGrM/7nEMob
  3QrnHYKvUsao7TLA9rcBTzXb+8q3C3AVbbr71tAKZY1yw8UOwOtbzvkySlfVQOf838CJa3K+1fTM
  cyPi0GYcHRGxG/Axyhg7mha6GynjzZ4bEW8H/obSNTekc0S5SWW7iDid0l32uebYvwJ+Rbk+d232
  ewPluj2jaXFa8YARr4uI3ZoPKY9TPuC06x7v75fAzhHx9811vnFzrJcMsP8MYH/KjSvntKz/EaUF
  bP+mvM+LMn3Jtqs49wkRsXlETAQ+2hwbSivco8Cfm98J7cLjnyljyv42Ir4whNcpDWhIoat5g/hj
  lHmEzo4yr8vYKHehzImIS2LFOYVOiTIX0ewogy6lVs8FvkgZP3M3pavuFMqb9o+BSyNiCSWEbdK0
  ohxCGTB7f/P/W1pCT7sWiamUcWOzKF0p51MGy0J5A/5dRDxCeWP7aJbb89/Cyl2LCdzU7DuXMrj/
  Y5n5uX77fT1WnFvqWoDMfJIyWPlWSgvaEuC3lJaW3zX7fBn4NPBvzfbfULpA9s3MpS3nOKIpx8NN
  ue+j3IzQ27zh7A18tWnJ6/u6njKGabDWrmfqMMtdbLPbbWMVrT/NeKkvseIYs1ZTge9m5qLWMlJC
  7LtbulhP7FeX9w5S9ravo+WcP8/MWf3OeRpwSF/Q6fc6/hu4ZlWvdRXnW519WtdPAW5vvr/fBz6f
  5U7Z1u2vp0zr8a/AO5oxSIN5Q3PMJcCVlJDx+sxsbSV7R7PtYkrA+AFwZmZ+tG+HiPhmRJzRPBwD
  nEn5ubqT8jP55cEK0nyY2b95LXc3X1+k/D5ot/9iys/CGyi/F/rW30X5UPBpys/AfMrvhL45z1rL
  CqWeL6RMuXE95cPad5ttnwNeS/mZ+gUrB9lszvkI5aaWA2P5eE1ptUXmqn9nRJlT50rgpZn5ZET8
  mPLGtCvwQGZ+KSJOAsZm5slRbh0+m/ILYgKl+XqnHOxEUodFxB8pb2a3droskqRnn6G0dD1C6QJ6
  QdOcvAllLM1hLJ/DZzplnAuUAY8zmrtB5lFaB4Zya73UMVEmEZ1u4JIkrS+Dhq6mC+crlPEli4Al
  zWDTrr7bhJtm4G2ap4xnxTvJFrHiXWbSsJOZSwcZiLtBixX/XE5r190jnS7bUETEuwYo/82dLhtA
  RNzSrm4j4qj1fN5v9quXvuUzBn+2pNpGD7ZDlBmJP0G542MJcH4zmLh/d6Hdh9IwlZlXsebzOnVc
  Zp7DioOph5XM/JsOnfcfKAPNJW0ABg1dwOsoc5T0zQX0M8odSr0R0dUM4h1H+TtqUFq2Wm/PncCK
  t/bTHMeQJkmSNhiZuVZ/HmwoY7rmUO6AeV5EBOXPQsyizFZ9dLPPe1n+50JmAlOaOxy3B3ak3Am0
  ksz0q9/XZz/72Y6XYTh+WS/Wi3VivVgv1ksnv9aFQVu6MvOmiPgB5Xbbp4EbgG9TuirOi/I3rOZT
  Jj0kM2dFxHmUYLYUOD7XVWklSZI2UEPpXiTLPEL952F5kDL/ULv9v0CZ6VeSJEk4I/2w093d3eki
  DEvWS3vWy8qsk/asl/asl/asl/Vj0MlR19uJI+x1lCRJG4SIICsMpJckSdJaMnRJkiRVYOiSJEmq
  wNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGh
  S5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ck
  SVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKk
  CgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUY
  uiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJ
  kiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKhjd6QK0M27cdvT2
  zu90MYadrq7JLF48r9PFkKQRYdKkcSxc2NvpYgw7Eyd2sWDB4k4XY4MUmdmZE0fkQOeOCKAz5Rre
  gk59vyRppIkIrryy06UYfvbaixH5XhQRZGaszTEG7V6MiJ0j4oaIuL75f0lEfDQixkbEpRExJyIu
  iYjNWp5zSkTMjYjZEbH/2hRQkiTp2WDQ0JWZt2XmqzPzNcBrgb8APwNOBi7PzJcAVwCnAETErsAR
  wC7AQcAZUZquJEmSRqzVHUi/L/CnzFwIHAZMb9ZPBw5vlg8FZmTmU5k5D5gL7LYOyipJkrTBWt3Q
  dSRwTrPclZm9AJm5GNimWT8eWNjynEXNOkmSpBFryKErIjamtGKd36zqP4pu5I2qkyRJGqLVmTLi
  IOC6zLy/edwbEV2Z2RsR44B7m/WLgIktz5vQrFvJtGnTnlnu7u6mu7t7NYojSZK0fvT09NDT07NO
  jznkKSMi4lzg4syc3jw+FXgwM0+NiJOAsZl5cjOQ/mxgd0q34mXATv3nh3DKiDXhlBGSVItTRrTn
  lBFrbkgtXRHxfMog+uNaVp8KnBcRxwDzKXcskpmzIuI8YBawFDh+wHQlSZI0Qjg56gbFli5JqsWW
  rvZs6Vpz/u1FSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG
  LkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S
  JEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS
  KjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg
  6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl
  SZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKhjd6QKsygEHwNe+BqNGwVlnwZe+tOL2
  T34S3v1uyISNN4ZddoGttoIlS+CjH4Vjjy37nXkmnH56WX7d6+Ab3yj7L10Kxx8P111X93VJklbt
  4tsv5uMXf5xluYz3v/r9nLTnSSts/7f//jfOvvlsgmDpsqXMvm829594P5s/b3MAluUyXvft1zFh
  zARmHjXzmeed/rvTOeP3ZzB61GjestNb+OK+X1xlOa65Br7+9fI+c/DBcNRRK25fsgQ+/3l44AFY
  tgyOOAIOPLBsmzIFXvCC8h42ejR885tl/Xe/C1dfDRGw2WZw8smw9dZrV1/aMERmdubEETnQuSOC
  iOS222CffeDuu+Haa8sFPGdO++O95S3w8Y/DfvvBrrvCuefC618PTz0FF18MH/wg3HknXHEFfOEL
  cNll5QfjxBNh773X4wtdp4JOfb8kqZZluYydT9+ZX039Fdtuui2vP/P1zHjnDF661Uvb7v/L237J
  1377NS6fevkz6776m69y3T3X8chfH3kmdPXM6+Hz//V5Lnr3RYweNZr7H7ufrZ6/1YDliAi23Ra+
  8pXygf5DH4LPfAYmTVq+z/Tp8OST8IEPlAA2dSr89Kew0UbwrnfBt74Fm2664nEffxw22aQs//Sn
  8Kc/wQknrFlddcJeezEi34sigsyMtTnGsO1e3G03mDsXFiwowWnGDDjssIH3P+qoErSgtHj97nfl
  B2HZMvj1r+Htby/b7rmnfLIA2HxzWLRo/b4OSdLquWbRNey05U5M3nwyG2+0MVP+ZgoX3nrhgPuf
  e8u5HPU3y5ug7nrkLi66/SKOfc2xK+z3zd9/k5P3PJnRo0onz6oCV58JE2DcuNJStffepYWq1dix
  8NhjZfmxx2DMmBK4oLSOLVu28jH7AhfAE08sf0/Ss9+wDV3jx8PChcsf33VXWdfO855XWq0uuKA8
  vuUWeNObSqjaZJPSJDxxYtl28snw7/8O8+eX7spTTlm/r0OStHoWPbKIiWMmPvN4wpgJLPpz+0/I
  jy99nItvv5h37PqOZ9Z94pJP8OX9vkywYqPEbQ/cxn/O/0/e8J03sNf0vfj93b8ftCyt3X5bbw33
  3bfi9kMOgXnz4J3vLENaPvKR5dsiSgvWhz4Ev/zlis876yw48sjSE/Oudw1aDD1LDNvQtTre+la4
  6qrStAulC/LUU0sX4kUXwQ03wNNPl21nnQX/+I8weTJ84hOlb12StGH6xW2/YM9Jez4zlus/bvsP
  ul7QxavGvYps/vV5atlTPPT4Q/z22N/ypX2/xBHnH7HW5z/nHHjxi+EnP4FvfxtOO610H0IZS/zt
  b8MXvwg//zncfPPy573//fDjH8NBB5VxxhoZhm3oWrRoxX7zCRMG7gqcMmV512Kf73+/jOnaay94
  +GG47bayfvfd4cKmlfqCC0o3piRp+Bg/ZjwLlix45vFdj9zF+E3bd3XMuGXGCl2LVy+8mplzZrLD
  aTtw1AVHceWdVzL1Z1OB0mL29l3KWJPXj389o2IUDzz2wCrLcu+9y5fvu2/lAe+33AJvfnNT7vGl
  K3JBU/Qttyz/b7556X2ZPXvl4++zz8BjlfXsM2xD17XXwo47luC18cYlWM2cufJ+Y8aUC/7Cft39
  WzVd9RMnwtveVj6NQBkn9rd/W5b33nt5GJMkDQ+v3/b13P7g7cx/eD5PPv0kM26ZwaEvOXSl/ZY8
  sYRfz/81h71k+YDfz+/zeRZ8YgF3fOwOZrxjBntvvzc/eNsPAHjbS9/GFXdeAZSuxqXLlrLl87dc
  ZVkWLYLFi8vd7ldcAW9844rbJ02C668vyw8+WIbCvOhFZaxWX4vX44+X97Ttt19+zD5XXVXe6zQy
  DMspI7q6JtPbG3zkIwdw6aWnMWrUKM466yxuvfVUjjvuODKTM888E4DDD5/KJZccwBNPvHuFY1xw
  wa/ZYostWLp0Kccf/wn+/OdfA/DBD76Wb3zjGzznOc/hiSee4LjjjgdurP0S10hX1+ROF0GS1ruN
  Rm3E1w/+Ovv/aP9npozYZetd+Nbvv0VEcNxrjwPg57f+nANefACbbLzJIEcs3veq93HMzGN4+Tdf
  znM3ei4/OPwHq9x/4sQuFi7sXWGaiKOPbr/v97+/fHmgm75OPHHgc1122SqLMqxMnNjV6SJssIbl
  lBGSJEnDybN6yghJkqRnkyGFrojYLCLOj4jZEfHHiNg9IsZGxKURMSciLomIzVr2PyUi5jb777/+
  ii9JkrRhGGpL12nARZm5C/BK4FbgZODyzHwJcAVwCkBE7AocAewCHAScERFr1RwnSZK0oRs0dEXE
  GOBNmfk9gMx8KjOXAIcB05vdpgOHN8uHAjOa/eYBcwEnZpAkSSPaUFq6tgfuj4jvRcT1EfHtiHg+
  0JWZvQCZuRjYptl/PNAylzyLmnWSJEkj1lCmjBgNvAb4cGb+PiK+Sula7H/r4Wrfijht2rRnlru7
  u+nu7l7dQ0iSJK1zPT099PT0rNNjDjplRER0Ab/JzB2ax3tSQteLge7M7I2IccCVmblLRJwMZGae
  2ux/MfDZzPxdv+M6ZYQkSdogVJkyoulCXBgROzer9gH+CMwEjm7WvRfomxN+JjAlIp4TEdsDOwLX
  rE0hJUmSNnRDnZH+o8DZEbExcAfwPmAj4LyIOAaYT7ljkcycFRHnAbOApcDxNmlJkqSRzhnpJUmS
  BuGM9JIkSRsIQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSp
  AkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG
  LkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S
  JEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS
  KjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg
  6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl
  SZJUgaFLkiSpAkOXJElSBaM7XYB2xo3bjt7e+Z0uxrDT1TWZxYvndboYw864CePoXdTb6WIMO13j
  u1h81+JOF2NY8Vppz2ulvUmTxrFwoddLfxMndrFggdfLmojM7MyJI3Kgc0cE0JlyDW9Bp75fw1lE
  wLROl2IYmobXSz9eKwOY5rXSTkRw5ZWdLsXws9deI/N6iQgyM9bmGEPqXoyIeRFxU0TcEBHXNOvG
  RsSlETEnIi6JiM1a9j8lIuZGxOyI2H9tCihJkvRsMNQxXcuA7sx8dWbu1qw7Gbg8M18CXAGcAhAR
  uwJHALsABwFnRGm6kiRJGrGGGrqizb6HAdOb5enA4c3yocCMzHwqM+cBc4HdkCRJGsGGGroSuCwi
  ro2IY5t1XZnZC5CZi4FtmvXjgYUtz13UrJMkSRqxhnr34h6ZeU9EbA1cGhFzWHmk+8gbVSdJkjRE
  QwpdmXlP8/99EfFzSndhb0R0ZWZvRIwD7m12XwRMbHn6hGbdSqZNm/bMcnd3N93d3atbfkmSpHWu
  p6eHnp6edXrMQaeMiIjnA6My89GIeAFwKfA5YB/gwcw8NSJOAsZm5snNQPqzgd0p3YqXATv1nx/C
  KSPWhFNGtOM0AAOYNjJv614Vr5UBTPNaaccpI9pzyog1N5SWri7gZxGRzf5nZ+alEfF74LyIOAaY
  T7ljkcycFRHnAbOApcDxA6YrSZKkEWLQ0JWZdwKvarP+QWDfAZ7zBeALa106SZKkZwn/9qIkSVIF
  hi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxd
  kiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJ
  kiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRV
  YOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQ
  JUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuS
  JKkCQ5dQFf6hAAAZuUlEQVQkSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFYzudAHa6eqaTG9vdLoYw05X1+ROF2FY6hrfRe+03k4X
  Y9jpGt/V6SIMO14r7XmttDdxYhd77eX10t/EiV4vayoyszMnjshOnVuSJGl1RASZuVYtQkPuXoyI
  URFxfUTMbB6PjYhLI2JORFwSEZu17HtKRMyNiNkRsf/aFFCSJOnZYHXGdH0MmNXy+GTg8sx8CXAF
  cApAROwKHAHsAhwEnBER9hVKkqQRbUihKyImAAcD32lZfRgwvVmeDhzeLB8KzMjMpzJzHjAX2G2d
  lFaSJGkDNdSWrq8CJwCtg7C6MrMXIDMXA9s068cDC1v2W9SskyRJGrEGDV0R8RagNzNvBFbVTeio
  eEmSpAEMZcqIPYBDI+JgYBNg04j4IbA4IroyszcixgH3NvsvAia2PH9Cs24l06ZNe2a5u7ub7u7u
  1X4BkiRJ61pPTw89PT3r9JirNWVERLwZ+GRmHhoRXwIeyMxTI+IkYGxmntwMpD8b2J3SrXgZsFP/
  +SGcMkKSJG0o1sWUEWszOeoXgfMi4hhgPuWORTJzVkScR7nTcSlwvOlKkiSNdE6OKkmSNIiqk6NK
  kiRpzRm6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJ
  kiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRV
  YOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQ
  JUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuS
  JKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElS
  BYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoM
  XZIkSRUYuiRJkiowdEmSJFUwutMFaGfcuO3o7Z3f6WIMO11dk1m8eF6nizHsbDduHPN7eztdjGFn
  clcX8xYv7nQxhhWvlfa8VtqbNGkcCxd6vfQ3cWIXCxZ4vayJyMzOnDgiBzp3RACdKdfwFnTq+zWc
  RYRXSxsBXi/9eK2057XSXkRw5ZWdLsXws9deI/N6iQgyM9bmGIN2L0bEcyPidxFxQ0T8MSI+36wf
  GxGXRsSciLgkIjZrec4pETE3ImZHxP5rU0BJkqRng0FDV2b+FdgrM18NvALYOyL2AE4GLs/MlwBX
  AKcARMSuwBHALsBBwBlRmq4kSZJGrCENpM/Mx5rF5zbPeQg4DJjerJ8OHN4sHwrMyMynMnMeMBfY
  bV0VWJIkaUM0pNAVEaMi4gZgMdCTmbOArszsBcjMxcA2ze7jgYUtT1/UrJMkSRqxhnT3YmYuA14d
  EWOASyKim5VHuo+8UXWSJElDtFpTRmTmIxFxEfA6oDciujKzNyLGAfc2uy0CJrY8bUKzbiXTpk17
  Zrm7u5vu7u7VKY4kSdJ60dPTQ09Pzzo95qBTRkTEVsDSzFwSEZsAlwCfA/YHHszMUyPiJGBsZp7c
  DKQ/G9id0q14GbBT//khnDJiTThlRDtOA9Ce0wCszGulPa+V9pwyoj2njFhzQ2npehEwvbkDcRTw
  w8z8VTPG67yIOAaYT7ljkcycFRHnAbOApcDxA6YrSZKkEcLJUTcotnS1Y+tFe7ZerMxrpT2vlfZs
  6WrPlq41599elCRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg
  6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl
  SZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5Ik
  qQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIF
  hi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxd
  kiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqYJhHboOOABmz4Y5c+DEE1fevsUWcNFF
  cMMN8Ic/wHvfu3zbd74DixfDTTet+Jxzz4Xrritfd9xR/teG72LgpcDOwKlttj8AHAS8Cng58P1m
  /V3A3sDLmvX/3/ouqKQNyjXXwNSp8J73lPeP/pYsgZNOgmOPhWOOgYsvXr5tyhR4//vhAx+Af/iH
  emXW8BWZ2ZkTR+RA544IIpLbboN99oG774Zrry0X8Jw5y/f7zGfgec+DT38attyybOvqgqefhj32
  gEcfhR/8AF75yvZl+PKX4eGH4V//dT28wPUi6NT3aziLCF4M/ArYFng9MIMSwvp8DngC+AJwP/AS
  oLdZXkwJY48CrwUu7PfcDVWA10s/EYE1sjKvlfYigm23ha98BbbaCj70ofK+M2nS8n2mT4cnnyzB
  asmSEtB++lPYaCN417vgW9+CTTft3GtYH/baa2ReLxFBZsbaHGPYtnTtthvMnQsLFsBTT8GMGXDY
  YSvus3jx8ot5003hgQdK4AK4+mp46KFVn+OII9p/ctGGZydgMrAxMIUSnFqNA/7cLP8Z2BIY3ax/
  VbP+hcAuwKL1XVhJG4wJE2DcOBg9Gvbeu7y3tBo7Fh57rCw/9hiMGVMCF0AmLFtWt7wa3kZ3ugAD
  GT8eFi5c/viuu0oQa3XmmfCrX8GiRfDCF8KRRw79+HvuWULbHXesm/Kqsya2LE8Arum3/QPAPpSW
  sEeBH7c5xjzgRmD39VA+SRumrbdecXn27BW3H3IIfPKT8M53wuOPl5awPhFwwgkwalTZ75BD6pRZ
  w9ewDV1DccopZczW3nvDDjvAZZfBK14Bf/nL4M896ihbuUaSLwCvBK4E/gTsB/yB0roFJYi9Ezit
  ZZ0kDeacc+DFL4avfrU0AJxwApx1FmyyCZx+ehn68vDD8KlPweTJ8PKXd7rE6qRh2724aNGK/eYT
  JpR1rfbYA84/vyzfcQfceSe8dAiDcUaNgre/HX7crrlDG6QFLct3AeP7bb8a+Ltm+cXA9sCtzeOn
  KIHrPUC/HmxJI9y99y5fvu++FVu+AG65Bd785rI8fnzpilzQ/ELacsvy/+abw5vetHIrmUaeYRu6
  rr0WdtyxBK+NNy6D6GfOXHGf2bNh333L8jbbwM47r9hdGFG++ttvv/Lce+5Zf+VXXbcD84EnKYPo
  D+23fRfg8ma5F7gN2KF5fAywK/Cx9V9MSRuYRYvKUJSlS+GKK+CNb1xx+6RJcP31ZfnBB8tQmBe9
  CJ54onQ3Qvn/2mth++3rll3DUGZ25Kucur2urskJ5AEHHJC33npr3nbbbXnSSSclkMcdd1x+4AMf
  SCC33HLLnDlzZt54441500035ZQpUxJIIM8+++xctGhRPvHEEzl//vw8+uijn9n23e9+95ljbEhf
  XV2TB6yzkWxyV1fHvzfD8WtyV1envzXDjteK18rqmDjR66Xd18SJI/N6ATLXMvsMyykjJEmShpNn
  9ZQRkiRJzyaDhq6ImBARV0TEHyPi5oj4aLN+bERcGhFzIuKSiNis5TmnRMTciJgdEfuvzxcgSZK0
  IRi0ezEixgHjMvPGiHghcB3lJq/3AQ9k5pci4iRgbGaeHBG7AmdTJgafQBm/vFP/vkS7FyVJ0oai
  SvdiZi7OzBub5UeB2ZQwdRgwvdltOnB4s3woMCMzn8rMecBcoN+0ppIkSSPLao3piojtKH815bdA
  V2b2QglmwDbNbuOBlrnkWcTK0yZJkiSNKEOekb7pWvwJ8LHMfDQi+vcNrnZf4bRp055Z7u7upru7
  e3UPIUmStM719PTQ09OzTo85pCkjImI08Evg/2Xmac262UB3ZvY2476uzMxdIuJkylwWpzb7XQx8
  NjN/1++YjumSJEkbhJpTRnwXmNUXuBozgaOb5fcCF7asnxIRz4mI7YEdWfnvD0uSJI0oQ7l7cQ/g
  P4GbWT4j7acpQeo8YCLlL7AckZkPN885BXg/sJTSHXlpm+Pa0iVJkjYI66KlyxnpJUmSBuGM9JIk
  SRsIQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElS
  BYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoM
  XZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLok
  SZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIk
  VWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA
  0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFL
  kiSpAkOXJElSBaM7XYB2xo3bjt7e+Z0uxrDT1TWZxYvndboYkjQiTJo0joULeztdjGFn4sQuFixY
  3OlibJAiMztz4ogc6NwRAXSmXMNb0KnvlySNNBHBlVd2uhTDz157MSLfiyKCzIy1Ocag3YsRcVZE
  9EbEH1rWjY2ISyNiTkRcEhGbtWw7JSLmRsTsiNh/bQonSZL0bDGUMV3fAw7ot+5k4PLMfAlwBXAK
  QETsChwB7AIcBJwRpdlKkiRpRBs0dGXmVcBD/VYfBkxvlqcDhzfLhwIzMvOpzJwHzAV2WzdFlSRJ
  2nCt6d2L22RmL0BmLga2adaPBxa27LeoWSdJkjSiraspI0beiDpJkqTVsKZTRvRGRFdm9kbEOODe
  Zv0iYGLLfhOadW1NmzbtmeXu7m66u7vXsDiSJEnrTk9PDz09Pev0mEOaMiIitgN+kZkvbx6fCjyY
  madGxEnA2Mw8uRlIfzawO6Vb8TJgp3ZzQzhlxJpwyghJqsUpI9pzyog1N2hLV0ScA3QDW0bEAuCz
  wBeB8yPiGGA+5Y5FMnNWRJwHzAKWAscPmKwkSZJGECdH3aDY0iVJtdjS1Z4tXWvOv70oSZJUgaFL
  kiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJ
  UgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQK
  DF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6
  JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmS
  JFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmq
  wNAlSZJUgaFLkiSpAkOXJElSBcM6dB1wAMyeDXPmwIknrrz9k5+E66+H666DP/wBli6FzTaDnXZa
  vv766+Hhh+Ef/7E85x3vgJtvhqeegle/uu7rkSRtWK65BqZOhfe8B849d+XtS5bASSfBscfCMcfA
  xReX9ffdB//zf8LRR5f1F1xQtdgapiIzO3PiiBzo3BFBRHLbbbDPPnD33XDttTBlSglg7bzlLfDx
  j8N++/U/Ftx1F+y2GyxaBDvvDMuWwbe+BZ/6FNxwwzp+YetV0KnvlySNNBHBttvCV74CW20FH/oQ
  fOYzMGnS8n2mT4cnn4QPfKAEsKlT4ac/LcsPPgg77giPPw4f/CD8y7+s+NwN1V57MSLfiyKCzIy1
  OcawbenabTeYOxcWLCitUjNmwGGHDbz/UUe1/xSy777wpz+VwAVw221w++0ljEmStCoTJsC4cTB6
  NOy9N1x99Yrbx46Fxx4ry489BmPGwEYbwRZblMAFsMkmJWzdd1/dsmv4Gbaha/x4WLhw+eO77irr
  2nne8+DAA9s33x55ZPswJknSYLbeesXl/sHpkENg3jx45ztLF+NHPrLyMRYvLh/2d911vRZVG4Bh
  G7pWx1vfClddVZpzW40eDYceCuef35lySZKe3c45B178YvjJT+Db34bTTivdiX0efxw++9kSxjbZ
  pHPl1PAwbEPXokUr9n1PmLC8i7C/KVPat2YddFAZTH///eunjJKkZ7d7712+fN99K7Z8AdxyC7z5
  zWV5/PjSFblgQXn89NMlcO23H+y5Z53yangbtqHr2mtLf/ikSbDxxiVYzZy58n5jxpQL/sILV942
  0DivPo7rkiStyqJFpXtw6VK44gp44xtX3D5pUrlLHsrA+bvughe9qDw+9VSYPLl0PUowjO9ehOSA
  A0pT7ahRcNZZ5QI+7jjIhDPPLPtOnVqmlnj3u1c8xiabwPz5sMMO8Oijy9cfdhicfnq5E+Xhh+HG
  G+Hgg9fPa1z3vHtRkmqJCE49Fb7+9XLX+8EHw7veVRoAIsrQliVLyntTb295zrveVe66v/nmckf9
  9tuXfSPKmK/dduvsa1oXvHtxLY4xHEPXuHHb0ds7v3KJhr+ursksXjyv08WQpBFh0qRxLFzY2+li
  DDsTJ3axYMHiThejumdt6JIkSRpOhvU8XRFxYETcGhG3RcRJ6+s8kiRJG4L1EroiYhTwdeAA4GXA
  URHx0vVxrmebnp6eThdhWLJe2rNeVmadtGe9tGe9tGe9rB/rq6VrN2BuZs7PzKXADGAV88mrjxd6
  e9ZLe9bLyqyT9qyX9qyX9qyX9WN9ha7xQMt88tzVrJMkSRqRhu08XZIkSc8m6+XuxYh4AzAtMw9s
  Hp8MZGae2rKPty5KkqQNxrCcMiIiNgLmAPsA9wDXAEdl5ux1fjJJkqQNwOj1cdDMfDoiPgJcSunC
  PMvAJUmSRrKOTY4qSZI0knRkIP1Injg1Is6KiN6I+EPLurERcWlEzImISyJis5Ztp0TE3IiYHRH7
  d6bU61dETIiIKyLijxFxc0R8tFk/0uvluRHxu4i4oambzzfrR3S9QJkLMCKuj4iZzWPrJGJeRNzU
  XC/XNOusl4jNIuL85nX+MSJ2H+n1EhE7N9fJ9c3/SyLio9ZLnNJcI3+IiLMj4jnrvE4ys+oXJejd
  DkwGNgZuBF5auxyd+gL2BF4F/KFl3anAic3yScAXm+VdgRso3cDbNfUWnX4N66FOxgGvapZfSBkP
  +NKRXi/Na31+8/9GwG+BPayXBPgE8CNgZvPYOoE7gLH91lkv8H3gfc3yaGAz62WF+hkF3A1MHMn1
  QskkdwDPaR7/GHjvuq6TTrR0jeiJUzPzKuChfqsPA6Y3y9OBw5vlQ4EZmflUZs4D5lLq71klMxdn
  5o3N8qPAbGACI7xeADLzsWbxuZRfjg8xwuslIiYABwPfaVk9ouukEazcezGi6yUixgBvyszvATSv
  dwkjvF762Rf4U2YuZGTXyyPAk8ALImI0sAmwiHVcJ50IXU6curJtMrMXSgABtmnW96+rRTzL6yoi
  tqO0BP4W6Brp9dJ0o90ALAZ6MnMW1stXgROA1gGpI71OoNTHZRFxbUQc26wb6fWyPXB/RHyv6Ur7
  dkQ8H+ul1ZHAOc3yiK2XzHwI+AqwgPL6lmTm5azjOnFy1OFpRN7dEBEvBH4CfKxp8epfDyOuXjJz
  WWa+mtLy96aI6GYE10tEvAXobVpGVzVfzoipkxZ7ZOZrKK2AH46INzGCr5XGaOA1wDeauvkLcDLW
  CwARsTGlxeb8ZtWIrZeI2IEybGEysC2lxevdrOM66UToWgRMank8oVk3kvVGRBdARIwD7m3WL6L0
  s/d51tZV05z7E+CHmXlhs3rE10ufzHwEuAh4HSO7XvYADo2IO4Bzgb0j4ofA4hFcJwBk5j3N//cB
  P6d0dYzkawVKT8rCzPx98/gCSggb6fXS5yDgusy8v3k8kuvldcDVmflgZj4N/Ax4I+u4TjoRuq4F
  doyIyRHxHGAKMLMD5eikYMVP6TOBo5vl9wIXtqyf0txBsT2wI2Wi2Wej7wKzMvO0lnUjul4iYqu+
  O2UiYhNgP8rAzRFbL5n56cyclJk7UH53XJGZ7wF+wQitE4CIeH7TUkxEvADYH7iZEXytADTdQgsj
  Yudm1T7AHxnh9dLiKMqHlz4juV7mAG+IiOdFRFCulVms6zrp0F0CBzYvcC5wcifK0Kkv/v927t4m
  YiCKwuiXkCAhAX0gCiAgow96IKGpLQBRA8uPEB2QUAEBEsF4xRYAQ+BzwpEDz5VtPcvveXw7f68+
  G9+Or6uT6n7J5K463jv+tjEV8VZd/ff5/1EmF9VXY5J1Wz0s18jpynM5W7LYVk/VzbK+6lz29nrZ
  z/TiqjNp9C7t7p+X3XN17bks+zxvvOw/VpvG9KJc6rD6qI721ladS6NX9LV6bjTNH/x2Jn6OCgAw
  gUZ6AIAJFF0AABMougAAJlB0AQBMoOgCAJhA0QUAMIGiCwBgAkUXAMAE30faYX2fN+aCAAAAAElF
  TkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795883e9d0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "scores/MINIAE_TANH_H100_DO50.shelve
  "
       ]
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3XdYFNfXB/DvpQsIYsEOKBYMKmqMJTbUqGg0tiS2GGOa
  JjFRo7GkGGKLJSbG1xJNs7eoUfypSEzEXlDsYgERECnSpcrunvePyy5LX9mVFTif5+FhZ/bunTt3
  Z8+cuTM7K4gIjDHGyicTYzeAMcZY6XEQZ4yxcoyDOGOMlWMcxBljrBzjIM4YY+UYB3HGGCvHdAri
  QggvIcQtIcQdIcTMQp6vJoTYI4S4IoQ4K4R4wfBNZYwxll+JQVwIYQJgJYB+ANwBjBJCuOUr9iWA
  S0TkAWAcgBWGbihjjLGCdMnEOwC4S0RhRJQNYDuAwfnKvADgPwAgotsAXIQQtQzaUsYYYwXoEsTr
  A4jQmn6QM0/bFQDDAEAI0QGAE4AGhmggY4yxohnqxOYiAA5CiEAAnwC4BEBpoLoZY4wVwUyHMpGQ
  mbVag5x5GkT0GMC76mkhRCiAe/krEkLwjVoYY6wUiEgUNl+XTDwAQBMhhLMQwgLASAA+2gWEEPZC
  CPOcxx8AOEZEqUU0hP+I8O233xq9Dc/LH/fFs+uLxERCWhohM9P46/Y89Ieh/x48IKSkPPvlFKfE
  IE5ESgCTAPgBuAFgOxEFCSEmCCE+zCnWAsB1IUQQ5FUsk0uqlzH2bBEBzZsDr78OfPONsVtT8URG
  Aq6uwKuvGrcdugyngIh8ATTPN2+t1uOz+Z9nrDKIiQGUSqBevbJZXno6EB4OODkBoaGAu3vh5Z48
  Afz8gNhYwNcXCAwERo8G2rQpm3bqIiMDOHAA6N0bcHAwdmue3pYtwMiRwKFDwLp1gJ0d4OUFVKtW
  tu3gb2waiaenp7Gb8Nwoz32xahWwfLnh6iupL3x8gI8+Av78E2jZElCpCi/n6wsMGiQfE8kA/sor
  QFaW4dqqr59/Bt54A1i/vugyz+u2QQRs2AC89x7w44/Af/8Bc+YA27eXfVt0ysSZ4T2vG2dJkpKA
  EyeA1FT5ATQzwBaka1+EhgIREUD37votLz4eWLECyM4GOnYEBg8Gzp6VmdTjx4CNjQyQuoiOBky0
  UqEbN4C0NKBDh9K1Td0XERHA7dsy8Gq7f1/+ZWTI6RMngB498pY5cwbYsUM+btpUBu4ffwQuXZKZ
  77BhT9+uPXtkxmxv//SvzW/9euDtt4GNG4GxY4ErV4Bjx4AGDeTwhLbito3du+UR0OHDwKxZgJVV
  4eWysmTZ0aP1b/uDB8CaNUBKinwPunQBunUDxowBFiwAwsLyln/0SG5b6h2qLi5dAv76K3e6Vavi
  y3MQZ0/l2DFg3jzg7l2gdeuiD+efhS1bgIAA/YP46tXAqVOynvHj5djmDz8ApqbyeaUS2LVLt7qi
  owFb29zpOXNkoCttEFdbtgy4fr1gEA8Lk4EkJASwtpbvR/4gvmQJsHcv8MUXMrhERcn5AwcC/v5P
  H8RTU4Hhw4GtW4FRo0q9SgBkEjB+PJCYKIPrxx/LI4v584FGjeSwhC4ePJBJRJUqcmfcs2fBflC7
  elXuLDw99R/2WrRILrtDB2DTprw7cGdn4ODBvOW3bQMmTwYyMwFLS92WMWUK4OYm6yOS/VOssjyT
  KxfHCrNvH5Gvb8H5R44QDRlC9PDhs2/D778TjRpF9OSJnN68mejUqbxlli8natCACCA6cKDkOufN
  I4qPJ/riC6KwMP3a9/rrRB4eBedfvSrbTkSkUBC9/z7R//2fnFapiN57j+jnn+X0li1ENWsSnT0r
  p/v2JRowgKh+fSIrK7lulpZEAwfKv2+/zV1OdDTRG2/I+bNmyXkvvSSniYji4ojMzYk6dCD65hvd
  1ys7m2j06Nxl/vILUa1aRK6uBct6ecm+9/AgGjmSqG1bop9+IgoJyV3HRo1kmZs38772n3+IuneX
  j+fNI3r0iOirr+QyDx0i8vOTj6dPl2WOHpXTnTvL+lauzFvf8eNEixcTvfWW7FcioowMotmz5f9x
  44h+/ZXoyhWiwYOJtm0jmjRJ1mVuLvs2LY2oShWiGjWIbG2Jli0rvI+2b5fbZnIyUUSEbJOTk3zd
  u+8Svfoq0dChchn5P0c7d8plLl1aeN1paXKdVSo5/eOPcr2HDCG6c4do9WqiW7eIVq0isrMjunev
  8HpOnCCyt5f99Pnnsg8WLZLL3rtX1v/pp7LuLVtkn4waRZSURPTgAdHw4UR//CG3z6ys3HpHjybK
  iZ2Fx9WinngWfxzEi9auHdHbbxec36ULUbVqRDt2PPs2qD+sV6/KaU9PuSFrmzpVlgHkRl0SBwei
  f/+V5T/7TL/2NW0qPyT5jR0rl5OZKT/A1aoRtWwpn3v4kMjGRr4uKUkG6d27c18bHU3Uq5cM3EOG
  EFlYEF24QOTjQ7R+PVG9erllFy2SZfbsIbK2lsHXySk3MK5aJd9HQD6vDgolCQ0lcnSUy9y8mcjU
  VNZjaUmkVOYt26KFXD9ABixABu3PP5flw8Lksq9eLbj82FjZD7duyddNmiR3FkuXErVvT9SpE9GC
  BTKoZmUR9eghg72Pj6z/iy/y1jd0qKzHzU32q0KRGzA//VS2s2NHGeSrVZPLAoj69CE6eFAGOSLZ
  /zVqEP3vf4XvuIjkjrZaNblT+OYbohEj5PsZGkq0Zo2s18pK9s/YsXlfu3Sp7M+WLQt/T06dkq8P
  CCBKTJR9tHu33PmPHy/7c9w4ufxjx4p+H8PDZT3q9dy5k2jiRKKqVYnmziU6d46ocWOiDz6QZXr3
  JnrlFaJ164jmzJH9KATRJ5/krVe+XxzES+Xff2WHtm+fuwErFLLjp0yR2cucOUQvvECUmlp4HUuW
  EDVrJrNRIpnJqrMWIpl1TZkig0fdunKvqxYeLjfuL7+U2Y1aQoKs08lJBtoPPiC6eDHvcv/+m2j+
  fN3W89tvZRZmaysz002b5Mbu4CDnTZsm61NnFeq/GTOKrnPEiNxgsXKl/N+qFVFUFNGbb+Ytu22b
  XBcnJ9lf2uLiiAYNIoqJkcEYIOrWTQZsIqLHj+WHrlUreWTwzjuyDisrIn9/+eHt1Utmah99VHgm
  7+MjA9iBAzKzVsvOlhmjelkeHrkfYldXohs35PvWtq2c162b/PCr+yclJbeuffvk+nXrJuvV5u8v
  d9Zqr7wiMzJHR6LISDnv+HEZrC0siIYNk/XHxRFVry7n1awpt9MRI2TgLIqTk3xfu3eXAWPaNLlN
  u7jIQJydLYNJx45ye1RnhFu3yvftgw+ILl2S8955R7Zj927ZB0eOyMCuTgZWrZIB0N5eBlJ1v3z0
  Ud42bdpE1K+fXLa1tQzYcXFyZ+rqKoOvg4Osz9ZWbgfqNhDJco0aySMTgKh167z1T5oks2sXF7m+
  6m1NnfWvXi3rdXCQfT5ypJx/757s206d5A7ytdeK7lci2Y+A3AmbmsrMun9/mXm/9x7Rxx/LYO7r
  K8stXixjiHqdzp6V78GFCwXr5iCuRb0nVqnkn1JZMNtRz589W/bQyy/Lw6iICKLr13M3xm7d5N65
  QQOi06fla9X1KZVyWMLRkcjZWQbJ9HT5wWjTJndZAwfKuiZPJjIxkY8vXZJt2L1bbtB79siNXN3O
  s2dlQLl/X354ADmEoK1Xr7wBKT1dbmTqNmr/b9VKDlU4OclMbPJkmdHVri0P9wD5oa5RI28QVwdj
  7b5UqeSyTEyIvvsut5yzswys27bJD0RmpsykkpLkOuzYITMiR0e5w1M/9+OPso5XX5X1qJetzqZ/
  /VX24WefybLu7kSBgfL/66/LslOnEn3/vQwQkyYVvl2kpeX9r+bsTHT3rpxvZZUb0IcNk8MYgAw0
  CoX8ICYlyfcYkIfiarNny0P2l16Sh9ba78vvv+fdeasDZ4cOucNZr78uA2FMjHxNTExuezt0kO/P
  /v1yuYsWFb6ORDIBuH9fvldRUbnbREqKHKogkjuCOnVkVqp2+rTcHgAZkBQKmUAcPCifX75cZsAN
  GhAFB8vhASIZOAcNktu0OltevDhvm9TbDJHcEQEywI4bJ5OkUaPk50+lkjs19bprS0vL/byamcn3
  Sb19Dxwo+/ybb+Tzf/0ld4p16sht7d135VDU/fvyT3so49EjWZf6f0nS0+VOpFcvufNp0UK+b926
  yc9PaKjsdyB32Ed7nbSXrY2DuJb+/WUQ9PKSwxe9eskN7fHj3DJbt8q96IAB8k04dIhowgT5Ia1e
  nahhQ6IxY2TG8vbbMiOpXl2OcXXpIrOCvn1l4O3SRR5aLlggXzdggPx/5YpcVsOGcsO9fVu26fXX
  ZdD59tvcLPzBA5nNqDPf7dtlOSKijRvlIZ+DQ+4OKj5e7t2treWH7eFDOa0OuoMHy2GBIUPkhmlm
  JjOOoUPlxl2lijzkHTBATo8YITfMIUPkFlOnjjwcbN9e1jdzpswwpk2Th98BAbKcemihTh1ZX+vW
  8gMNyB2Gra38cLZvnxtMhg6V89R/1avL/qtRQ2as7dsTde0qD9HXr5dt9fWVAXzChNxAO26cXKfG
  jWUWfOiQXO5vvz3d9tKjhzyiqV07b4a3cqVsX4sWcsdz+7bcjohkJlerlhwjVRs1SmacW7fKNu7f
  L5MC9dHFl18WXPaYMXKoICFBLishofA2fv010YYNMmno0SM3gJbWunUFj+Li4uR6vvee7ItJk+R2
  fveufD4mRg4bVK2aNymaOFEe4WRlyR3YJ5/IhKYoX34pX6P+nEVGyh3IiBElt3vt2tyd6okTMtE5
  c0buiG/ckOcNevfObd9rr8l+dXAoPPstrRkz5PthYyM/g+fPy3b16JFbpls3uWPQFQdxLS1ayENV
  JycZvNSZ3caNMss+fVpuoGZmMsvWPomRni6Dqbd33jqXL8+boWr/rV0rM61atXLHTmfPloHfz6/g
  Rn/njvyQqLM59Vj44cMy84mNlZnMtGl521CvntzLE8lhoK5dZQDbvl2WfeMN2fbAwNyM39RUHko6
  OMjp7dvl6//5J7dPCtO1q9zJWVvLrKJHD9mf1avLTGzdutw6mzTJPVIYOza3X0xMcrOvp3X8uDw6
  Ug+BEMnMvGHD3LHwAwcoz/j+w4ekGfd8Gm+/LXc2QMGxVqLcDH3nTrlzVBs6VGZ3yckyaejcWbab
  SO58eveWw2gjRsi6Fy4sWPfevTLL/vpr+f49L06cIHrxRbmT1M5OBw7MOyxU1nx95c5+/vzcI9S2
  beVnXtfzE4ZkZyd37Glpsi3qk++lUVwQr3SXGCYkyMuzIiPlpWTDhslL5ebNk9++s7OTl2R5eclL
  zlxccl9bpYq8hKxr17x19ukDeHvLb8c1bSov/YqJkdNvvimX2aIF8NVXsvyHH8ovCXz3nfyvfZlS
  06bAiBGAQiEvSVIvy8MDOH4caNwYGDoUeOmlvG3w8JDX27q4yP8eHkDfvsD//Z9cjxUr5HW0I0bI
  y62qVJFlt2wBZswA7twBXntN1tWzp7z0a+jQwvuwenV5+VPduvLaXiL51e6GDYF//wWWLgU++URe
  wzxqlPwCRL9+8pry8HD5bcKkJNmG0nB2Bq5dA4SQ66ieFxGRO923L/DOO/JSLQCoU0f2u67Xf6v1
  7y8vI+zfX14Cl5/6ErcLF2Sfqzk6ykvL/v5bXtanbiMgL9fbtUteD7xypfy2orrd+Ze9caO8jPCH
  H56u3c9S69ay7a6ueS+bmzZNXttuLG3bAu+/Ly9hPHZM9q2Pj/yMiUJvHfVsOTvLPrK2BiZMkJ+R
  Z6Ko6P4s/lCGmbhSWfBMskolM+yePeVJHfXJp4wMmaXOnJl72F3YuJux1a4tsx9TU3kyTtusWTL7
  8/GR2eO6dQVfr86wtQ/zS2P8eDk8NGyYbE+dOrnP/fij7OPY2KJfP3167smj0sjOlsvo1i13Xlyc
  XLejR0tfb2lVqyaPDLSveunbN/eoo39/+T//Cc3yrFGjvJdfsoIGDTJcH6EyDqfcvCkPrbQlJ+ce
  ynfsmHstMRHRrl1y/C07W56weh79+accKpk0qWCQvHpVnvV3cJB/QUEFX69QyDP8+h5aHj0ql/ff
  f/IQ9s8/c59LTCx6GEbtwoXcoYXScnHJe5JSpZI7kPwnqctCw4ZyuwoOzp13+bIclwfk+mpvaxXB
  5s1l892F8uzQocI/h6VRXBAX8vmyIYSgslre0aNAr17y0N3cXM4LDQWaNZNDFaNHy6GEimbSJOD8
  eflXkfXsKb+N+P77xm6JPGwOD5fDc9pDY1evymGv1NTcbZCx0hBCgIq4n3iFHROPjpb/Hz3K/apt
  fLy8D8FnnwEvvmi8tj1L3t5AXJyxW/HsLVtW8D4bxvLHH/Ir5Cb5bifXsqW8rwcHcPYsVdhMfPly
  YOpUea/f5cvlfQ4cHYF9++QtOhljrLyo1Jn4gQPyaootW4DatfW/eRJjjD1PKtz9xCMj5e0ho6Lk
  pXXW1sDOnfISt6goeRkcY4xVFBVqOCU6Wl5LPWKEvC7U3R2oX1/eC9nKSo5bWloWHLtkjLHnWaUY
  Tjl7VmbgVarIk5fR0fJLLTY2MhsHSv/lEsYYe15VmEx84kQ5fLJmjfxVkzfeeCaLYYyxMlcpMvGj
  R+VPMNWpwycvGWOVR4XJxO3t5W8PlsdfzWaMseIUl4lXiFN86enyN+yqVTN2SxhjrGzpFMSFEF5C
  iFtCiDtCiJmFPF9DCHFICHFZCHFNCPGOwVtajJgYeQ24Me5UxhhjxlRiEBdCmABYCaAfAHcAo4QQ
  bvmKTQJwmYjaAOgJYJkQoszG22Ni5Fg4Y4xVNrpk4h0A3CWiMCLKBrAdwOB8ZaIBVM15XBVAPBEp
  DNdM4O5deY/rwkRHy0ycMcYqG12CeH0AEVrTD3LmafsVgLsQ4iGAKwAmG6Z5EhGwdq28fPDOnbzP
  qVTym5iciTPGKiNDDXnMBnCFiHoKIVwB/COEaE1EqfkLent7ax57enrC09OzxMq//BJYt07ezGrT
  JvmLOB4e8puYr78OXL8OLFlioDVhjDEj8/f3h7/6J6FKUOIlhkKITgC8icgrZ3oW5A3KF2uVOQhg
  ARGdypn+F8BMIrqQr66nvsQwK0v+BFhAgPxJryFD5K0/e/eWX/A5cSL3p7oYY6wi0vcSwwAATYQQ
  zkIICwAjAfjkKxME4JWchdUG0AzAvdI3OdfBg/IeKC4uMvu2s5P3A69XD/j1V+DttzmAM8YqrxKD
  OBEpIa8+8QNwA8B2IgoSQkwQQnyYU+x7AO2FEFcA/ANgBhElGKKBGzcC48bJx0LIx0FB8scPiIC3
  3jLEUhhj5c1fN/5CliLL2M0wuuf6G5txcUCTJvKnr+zs5Lz4ePn1+jffBNavB6ZMeTZtPXT3EDzq
  eKBe1Xp61XM64jSqV6kOt5r5r8pkrHy7G38XUalR6O5c9ve5yFRkwn6RPQ6NOYRejXrleW795fUw
  NzHHmNZjyrxdz0q5/cbm9u3yZKY6gANAjRrAhx/Kb2caIoDvCdqDmNSYPPOUKiXe3/8+9t3ap3f9
  84/Px9oLazXTZx+cxY3YG3nKpD5Jxearm/VeFmNlaZrfNPRY38Moy77w8AKeKJ9g0clF+Oa/b5Ce
  nQ5A/vD71MNT8cH+D5CQYZDBgOfec30DrI0bgXnzSvnaKxvxWvPXUM2q6O/iP1E+wfCdw7Gs7zJ8
  3vlzzfxTEafw8PFD7Lu9Dw3tG6Jp9aYIjApEUmYSJrafCCEEDt49iKbVm6JpjaZF1q8iFc48OIO4
  9NwfvZzmNw11beti15u7EJMaA78QP1iZWWHs32PhYOWAV5u9WroVZkWKTInEqYhTeNP9zWe6nC1X
  t8DO0g6WZpYITQzFhPYTnsly/EL8YGlqidi0WLzhrt/tOh9nPcbOGzvxXrv3nvq19lb2AIA78XfQ
  rEYzADIBWnNhDSZ1mAQA2HdrH0xNTJGlyMLwF4YXW190ajTORJzB0BZDNfOOhh6Fb7AvvunxDWwt
  bHHk3hHUsq6F0xGn4WTvhH/u/YPIx5FoXrM50p6kwdPFE5amlnil8SvYE7QH77cr+EvaGdkZmHts
  Ll5p/Ap6N+5d4noqVArMOzYP8RnxqGtbF192+xJCCOy4vgMnwk9oygkITO08FY0dGhdZ16O0Rzhy
  7whGtRpV4nLVfG7nPwWZ13MbxIOC5K/0vPLK079WRSpM9p2Me4n3EJ0ajbk958LRxjFPmdQnqfj4
  wMeaxxuvbEQDuwbYeWMnbMxt4FbTDYdDDuNwyGF41PbAzUc3ka3KxtAWQ1HHtg6+O/YdhroNxayu
  swDIjfXo/aNY2mcpzE3lL+MGPQpCVYuquPHoBhIzEvHzuZ8R9CgI12Ku4XHWY7y//30cDj6Mt1q/
  hVaOrfB/5/9PE8RPhJ2AmYkZOjfsDAC4FHUJcelx6OPaBwBwNeYqIlMi0b9pf806ZSmysCpgVZ4d
  0rOy4twKTHhxAizNLAt9PiUrBduvb8eHL36YZ356djo2XN6Aj1766Jm2L1uZjR/P/IjPOn6GXTd3
  Ye7xuYhMiYRzNWccDzue530qaV10kZKVgvd83kOWMneM9oMXP4CJKHiw+0T5BCvPr4SDlQP6uPaB
  /31/eLp4oqZ1TawOWI2pnaZCFHG2nojwycFPEJwQLKfdix+ejEuPg7e/N0a1HIUuTl0KPH/k3hF8
  euhTvO3xtqY/ACAhIwHrL6+HqTDF9djrMDc1x5fdvkQDuwaaMveT7qNe1Xo4E3FGE8RDEkPw6aFP
  4dXEC7tu7sLP535GdGo0bMxtcPDuQfRs1BNvtZYnskITQ7H41GJM6zwNTWs0xeqA1Vh5fiVebfYq
  Dt49iAZ2DTD18FSYmZjh9IPTcKvhhh03dqCva1+Ym5rjm+7fwK2mG8KSwjD9n+mITo3GCPcRcHd0
  RzenbrgcfVnT1sCoQMSnx8Pa3BobrmzAlmtbcC32WolB/FbcLay9sBaHgg9hUodJ+OH0D+jh0gN7
  b+3Fxisb8XX3rzXv8amIU/js0GcY32Z8kTuso/ePYprfNIxsObLI91hbdGo0Ptz/YbFlntsgvnEj
  MGaMvEf407r56CaSMpOw9PRSpGeno3ODzhjXZhzORJxBSlYK+jXph+l+05GclYyZXWZi89XNCE4I
  hoWpBbJV2ahmVQ3veLyDW3G3AACxabE49/45vLnrTYQkhMDO0g6BUYFoWj03C196eilOR5yGvaU9
  7iffR/u67VHfrj7a1m2LurZ10fG3jqhqWRUHxxzEJwc/wdf/fY3IlEj0de2LPy//iQOjD2D07tGI
  T4+HmYkZuq/vjrZ12mJMqzH4vPPnWHhyIXbd3IW9I/bCwtQC++/sx4YrG3Bl4hU0qd4El6Mv45cL
  v2DtxbUY02oMatsW/hXWK9FXcD7yPKJSozCl0xSsCViDL7p8ARNhgmxlNn44/QOmvzw9zwc6v6TM
  JEzxnYJODTqhQ/0OhZYJjArEzCMz8UG7DyCEQGxaLHbf3I0WtVrgi3++0BzRPAs3H93EFN8pOB52
  HLFpsYhIiUByZjI+9/scNarUQHxGPCa2nwi3mm7IyM7A1MNT4VHbAz1cSj804HPbBz0b9cT0ztMx
  YtcIxGfEIzIlEg3t5e8BXoq6hIiUCLzW/DX8E/IPpvlNAwD0adwHR+4dwdI+S5GQkYCFJxfi5YYv
  o1ODTthxfQdsLGyw6+YuEAgd63fEjdgbeJz1WLPcBykP4H/fXxMY8/vz0p84H3kef9/6G4tfWYym
  1ZuiY4OOiHochTlH5yDgYQAyFBnwC/GDz20fZCozNX14LeYaGtg1wMwuM3Hh4QW8u+9d+I3N/ZXx
  4IRgDHUbiuux1zXz1I+H7hiKu/F38UKtF7Bl2BbYW9rjwsMLmOY3Da0cW8Gjjgd23dyFrde2QkUq
  rB24Ftuvb4elmSWG7xyOk+EnYWFqATMTMwR9EoTdN3dDoVJgUPNBGPv3WNSoUgMzXp6BtnXbomP9
  jlCRCtGp0ZhxZAY+6/AZGto1xL+h/2ratejkIvx18y/UtqmNhIwEfOf5HZaeXgoVqTRBeE3AGvR1
  7QvX6q6a1y09tRR/XP4DS/ssxaQOkxCTGoPhO4fDo7YHfN/yRbu67TRlBzQdANcVrjhw9wDo28J3
  riEJIYhKjcKYPWPQw7mH5mht3rF5CE6UO+b2ddsjU5EJhUqBMw/O4L2272EhFha57Rk1iH/7LdC6
  NTA8305LqQQ2bwYOHSpdvf+F/gdTYYr07HQMaDoAC04sQJYyC97+3nB3dIeZiRl8g31xZeIVXI6+
  jMWnFuOdNu9g/eX1+LDdh1gXuA4v1X8J/uP80Xtjb7Sq3Qpt67ZFh/odEJIYgrTsNFQxq6LZYLMU
  WbgcfRljWo/B3ONzsaj3Iiw7swxt6rSBk50TFvdZjL239qKnS0/UrVoXrg6u+DXwV6wduBa9GvXC
  sbBj6OvaF61qt8K12GsQkMEtKC4I0/+ZDv8wfyRkJMBEmGD8vvFo7NAY2apsDHEbgvd83sOYVmOw
  +epmnAiX2fvhkMMISwrDrK6z8PGBj5GanYoaVWqgafWmWHZmmWZ4Z/3l9QhNCsWIliPgUs0F84/P
  x9zjc9G2bltNJuVSzQXt67XX9G1kSiTe83kPBML12OuaID732FwICHzd/WsIIRCeHI6kzCQ8fPwQ
  9e3qY/y+8Th49yCW9lmKtOw0hCSGYP/t/RjrMRa/B/6OmV0L3Fctj5/P/ox7ifew6JVFmOw7GT2c
  exQ4cXUn/g7+CfkHay6swRC3IVg1YBU8N3giJSsFB0YfwG+XfsOeoD3o3KAz7sTfwY7rO/BK41eg
  IhU+9/scqwasQqcGnfD1f18jJDEEANCmdhtN2+YdmwcTYYKvun8FQO7MVgesxuyus3H2wVl4uXqh
  d+Pe8H/HH+/7vI+QxBBNEN95Yyf23d6HQc0GYfuN7fDu4Y1mNZph9J7RGN1qNI6FHcPZB2cxzmMc
  Pj7wMf4Y/Afmn5iPyJRIdHPuJo/6jsyCu6M7jrx9BNnKbPTc0BPzj8/H1mtbcSvuFhraNcQLtV7A
  w8cPYWt9vJ35AAAgAElEQVRhi23Xt+Ho/aPYPHQz/nfnfxj791i0cmyFF+u9iAsPL8C9ljuuxFxB
  8xrNMWr3KLz+wuvo5SJPEnq5eqFjg44AgMYOjTG+7Xg0+LEBpvtNx8T2E1HbpjaSMpPQz7Uffrn4
  C9YErEFoUihszG1gZ2mHuPQ4XP/4OpQqJZrXbA4AeLHeiwhNCsXft/7GxaiLWHF+Beb0mIP5x+fD
  3MQcKlLhxPgTOBV+CnO6z0FCRgIcbRxhZ2mH8W3Ha97n7s7dcfDuQc3FAuam5hjrMRYKlQLO1ZzR
  qUEnPEp7hIjk3C+amwgTfNz+Ywx/YTiqWVVDS8eW+DXwV6w4twLnIs/hifIJfIN9Uf9sfXRs0BEL
  ei2Ag5UD9t7ei4OjD2pO3s7oMgNuNd0wsNlAzXCSWmOHxjj97ml4bfGC/31//Bb4G5SkxIt1X0Ta
  kzTM7DpTs11tu74NB+4eQOTjSMzsMhMLTy7EqgGrICAw2XcyzEzMULdqXViYWmDXm7uezyCekQEs
  Xw60bAkMHCh/+1LN1xdwdJTPPa2kzCQsOLEAs7rOwoITCzDxxYl4bftrmOI7BW+4v4G/g/7GqoBV
  +KrbV7C3skeT6k0AAAt7LcT0ztNxJeYK1gWuQ0O7huji1AXO1ZzRspZsiKuDK4ITgrHk1BL81O8n
  fHroU6Q9ScOE/01A85rN0c+1H06Fn8KMLjOgUCnw9dGvsfiVxbA2t8boVqM1bXR1cEWGIgOtardC
  fbv6mufU9QsIdHPqhhPhJzDUbSji0uNwOuI0xrcZjz8v/4lrsddgKkxx/v3zcF3hikkHJ0FFKviP
  88e/of/i4wMfIy07DbVsauHo/aOY13MeNlzZgD1Be/Dn4D/hXM0ZVS2q4lTEKSw/uxzXY68jNi0W
  v1z8BTO7zMSvgb/iRNgJ+Ib4wq2mG7YM2wIA2HRlE3bc2IHDIYcByKwrJCEEK86twLbr21DLphZM
  TUxxNeYqYtNiNWXMTMxwOuI03Gu5Y/3l9QCAxScX47dLv2Hv7b04HnYcw1oMQ9MaTbHk1BKMajlK
  E/wAOS7649kf0bR6U4zZMwY+t31wMeoi3B3dcSnqEm7F3cLC3gux4twKrApYheEthmNez3kQQuDo
  uKO4HXcbfV37IjYtFnfj76Jtnbb49NCnCE8Ox8Woi7Axt0FgVCAWnVyEDUM2YPnZ5Vg3aB0UKgUm
  HZyEaS9Pg4kwwcKTC6EiFTIVmchSZsHVwRVf/fcVHKwccD32Ooa6ybHclo4t0aJWCwQnBMPTxRNL
  Ty2F3z0/BMUF4UT4Cfzvzv9w65NbcLRxhFtNN1SvUh0uP7ugY/2OWP3qavx05ie8vvN13Eu8BwJh
  nMc4DGsxDC83fBmONo6a8zzO1Zyx9uJaNLRriOVnl4NAsLWwRWxaLKpaVIW7ozvWDVwHTxdPvNzw
  ZbSp0wZv730bDe0bYq7nXAxqPghfdvsSDlYOCHgYgEHNBhV5BGZmYoY3XngDv1z4BWcfnMXkjpPR
  zakbWtdujWsx1xCaGIqw5DA0sGuApX2Wonej3nkyWrUuDbtgyuEpiE+PR3JWMka4j0D7eu3x1p63
  MM5jHJpUb6L5TBZlpPtI3Im/gyrmeX9v0czETHPew8rMCuHJ4ZrnIlIi8MlLn6CbczfNvKmdpmKy
  72Qs91qOWta1sPiVxQh6FITN1zZj4v8mIjYtFkPdhuYZsqxqWbXYq146N+yMzg06Y+DWgZjaaSpa
  1GqB2f/ORnhyOO4k3MHWa1vx5+A/MajZILy9923MOz4PLR1bwsHKAe+2fRcAcDD4IOws7PBdz+9g
  IkxgYWpRbH+AiMrsTy5OOnKE6KWXiNq2JXr5Zc1s8vUlqlKFaNMmKpV9t/ZRn4196EbsDaq2qBqp
  VCq6GXuTbsbepMzsTGqxsgWZzzWn+PR4zWuuRF/RPD4bcZbgDQpLCiMion6b+tEfgX8QEdGGyxuo
  7S9tyeknJ1KpVOS+yp0Gbh1I/Tf3p+sx1ykjO4OCHgUREdHeoL0Eb9C2a9sKtPG3i7+RyXcmlJGd
  kWf+vGPzqN3adtRubTua898cMptrRqvPr6afzvxE8Ab5h/qT7UJbuhp9lU6FnyIios99PyevzV50
  I/YGERElpCfQ3qC99Lnv5wRv0IT9E4iIKCUzhUISQgq0Zfrh6TT/2HxyW+lGO67voOTMZHL6yYng
  DTL9zpTsv7en3wN/pwFbBlD1xdVJeAvadWMXbb26lXpt6EXd/uhGdt/b0cT9E+niw4tkNteMOv7a
  keANsllgQz+c+oGWnlpKY3aPoSmHphC8QfWX1Sd4g1yWu5D7Knf6wOcDare2Ha0+v5rgDfr26Lf0
  7dFv6f1971OWIotG7hpJq8+vpqvRVwneoHF/jyPrBdb05l9vkt33dgRv0Ojdo8nuezs6HHyYUjJT
  Ct02MrIz6NajW7Ts9DKCN+ij/31E8AZ95/8dnX9wnuy+t6MNlzdQjz97aF7zwqoXKPBhIAXHB5PT
  T07U5pc2ZPe9HbVf157svrej7098TzWX1CTbhbYU/Tha87r5x+aT+yp3mn9sPsEbBG/Q7COzye57
  O+q9oXeBtvkF+2m2OSKiUbtGUavVrUh4C4p6HFXo+jT+uTFVX1ydIpIjKPpxNAU9CqJT4ado9pHZ
  BG/Q9MPT85RXKBVk/709+QX7FVpfSRIzEik8KZwa/tiQWq5uSb9d/I1UKhXVWFyDLOZZ0Ay/GeT0
  kxMlZyYXWcejtEcEb9CuG7voZuxNzfz7iffpcdZjndqRrczWbO9FUalUZDnPkrZc3ULDdwwn87nm
  FJoYmqeMUqXM89lXC3wYSPAGrT6/mtKfpOvUJm134+/SPyH/kEqlIiKi0MRQWnJyCdkutCV4Q9OO
  yJRIGrxtMI3ePZq6/tFV8/rY1FhKSE/IU2dO7Cw8rhb1xLP40w7ie/YQDR5MpFAQ1a9PtHmzDOx9
  +xKtXfvU/UYJ6Qn01b9f0Qy/GeR91JtUKhXdenSrQLkbsTfoUtSlIuuJS4sj87nmlK3MJiK5canf
  yLCkMII3aNSuUURE9KHPhwRvFLpBBccHE7xBJ8NOFnju2P1j5LbSrcD8rVe3aj7wW69upaYrmtKJ
  sBMUEBlAtZfWJpVKpdlJqKVmpVJMakyBuqIfRxO8QesurCtyXYmI1l9aTy7LXaj1mtaaeeFJ4fTD
  qR/oxbUvUp+NfcjkOxNae2EtBT0Kojtxd0ilUlFyZjLZLLChesvqUdTjKErMSCQioqBHQRT0KIjg
  DXpt22vUf3N/qrmkJl2PuU6xqbF06O4hGrtnLMEbFJsaSzGpMfQ46zH139yfbBfa0tg9Y8l2oS01
  /7/m5LXZi9qtbUdVF1al2NRYUqlU9MKqF2jD5Q3U5fcuJLwFWcyzoCrzq1D9ZfXpTMSZYtdV7ffA
  3wneIIVSQYeDD2s+MF8e+ZKs5lvR7COzNWU/9PmQWq1uRU4/OZHXZi+adGASvbP3HXqU9oiOhBwh
  lUpFK86uoFpLamk+tERE8enx9O3Rb8n0O1NaeW4lWS+wJoVSQUdDjxYZlLWlP0mnB8kPCrzf2qIe
  RxUa+NSJyJqANQWeuxl7M087S2P64enkttJN87kYtHUQtVzdktKepFFEckSJr78bf1ev5euq6Yqm
  ZLPAhrr/2Z3gDXqieKLza+/E3TFoW7KV2RSSEELB8cF55i87vYysF1jTuL/HFfv65zKIb95MNErG
  Qlq/nqhXL/k3ZAhRYuLTddD+2/vpA58PyGaBDXX9o2upMw21wjJWtS6/d6FV51cREdHGyxvzBD9t
  SpWSbBfaFrpRK1VKupdwr8D8k2EnNUH8RNgJCkkIIZVKRSqVqsCbr4sHyQ9IoVQUWyY5M5mcf3Km
  7098n2f+E8UTup94n/4I/IOa/1/zQj/4r+98nab6Ti0wX6VSUa0ltWjthbUEb9CQ7UPyPJ+SmVIg
  01h3YR3BG3Tx4UU6G3FWE6AOBx+mq9FXNeXCksIoMzuTQhJC6HLUZfJc70lrAtZQZEpkif2Rf93y
  y1Zm03/3/svTtpjUGDocfJjgDRrx1wiKT4/PcxSnXt/wpPBC+0H9vpVV4CLKzXb1/RwUJTUrlWJT
  YzXTS04u0SQ2z5MbsTfoesx12nNzD8EbJb/ACPyC/QjeoHnH5hVb7rkM4r/+SvTuu8Wv4OYrm2n7
  te0ldsQHPh9ogp/ZXDN6lPaoxNeUVvTjaM0wyBPFk2KDh/bhsS5UKhWFJYVRWFKY3tnS04hJjSky
  S1GqlHk+sNqSMpIKDAmphSWFUXJmMsEbtPTU0hLbEPQoiOy+t9McAenqYcpDylJkPdVrSiMlM0Xn
  w31jU6lUVH1x9QLDB89K2pO0IreR54FKpSp0p/08UCgVdCLsRLFDUETFB3Gjnti0ti6+zG+XfkNA
  ZAACHgagpWNLvNPmnULLqc/4AkBN65qoaV3TgC3NS/vSPXNT82K/lu9k7/RUdQshnvo1hpD/Gnpt
  JsIEtWxqFfpc/rPz2tTr0ahaI3Rz6lZkOTW3mm4I+iQIZiZPt0nWrVr3qcqXVlXLqiUXek4IIXD9
  o+tl1jfW5tawNi/hw2xEQgg4V3M2djMKZWpiiq5OXfWqw2hBPD0dqFKl6Oezldm48PACvnj5C6w4
  vwIA8MPpHzCpwyRYm1vjp7M/4cDoA6hXtR5CEkJQ1aIq6lWtl+eqBmZ8594/V+ROID9971PDcpVV
  AGfG99xm4tdir8HZ3hlzeszBlE5TkKHIQHBCMIZsH4K2ddvicvRl/Bf6H9544Q1EpUbhwdQHWHdx
  HZKzkstuJViJdA3gjLHSMWomXqNG0c/fS7yHZjWaQQgBeyt72MMedWzr4KX6L8EvxA/DWgzDqfBT
  8KjtASd7J9SyqYUvunyhHntnjLFKwWh3MczIKH44JSI5Ag3tCg6NtKzVEipS4d027+KPy39gxK4R
  GNBkAADAwtRCr/tfMMZYeWO0IJ6eXvxwSkRKRKHj2y0dW6KKWRUMaDoAQZ8EIS07rcj7RjDGWEVn
  1DHx4jLx8ORwdGrQqcD89vXaw6OOB4QQaOzQGKGTQwu9UxxjjFUGz3cmXshwirujO868d0YzzQGc
  MVaZPZdj4kSEe4n3nttrOxlj7Hlh5CBOhV5NEpIYAktTS9S15WtdGWOsOEYL4mnpKvQ7bo01F9YU
  eO5U+Cl0ceryzH40gDHGKgqjBfH4qv7IUmUiNi0W2cpsqEgFQA6lbLq6Cb0blfzbd4wxVtkZ78Qm
  HgEA4tPjMX7feM0vwq8OWI3HTx5rbpDOGGOsaDpdYiiE8AKwHDLo/05Ei/M9Px3AGAAEwBxACwA1
  iSipqDozkQxrMxuEJoXi6P2jqGJWBUSEOf5zcHL8yae+ERJjjFVGJWbiQggTACsB9APgDmCUEMJN
  uwwR/UBEbYmoHYDZAPyLC+AA8ESkwNWhKXyDfWFhaoFrsdcQFBcEC1MLtKjVovRrxBhjlYguwykd
  ANwlojAiygawHcDgYsqPArCtpEqV5slo4tAUSlJimNswnIs8hza/tEFLx1L8sCZjjFVSuoxZ1AcQ
  oTX9ADKwFyCEqALAC8AnJVWqMk+Ga84PonZ37o64jDice3BO86PEjDHGSmbogedBAE4WN5Ti7e0N
  AFCFHIfyXh8ICLR0bIlxbcbh14u/opFDIwM3iTHGyhd/f3/4+/vrVFaUdOtWIUQnAN5E5JUzPQvy
  p4IWF1J2D4CdRLS9iLpIvTwxcij++mYsjof7Y0mfJbAys9KpwYwxVtkIIUBEhX5xRpcx8QAATYQQ
  zkIICwAjAfgUshB7AD0A7CupQiIAVsmoZmWPFf1XcABnjLFSKnE4hYiUQohJAPyQe4lhkBBignya
  1uUUHQLgMBFllFSnUgnAMhn2VnZ6NJ0xxphOY+JE5Augeb55a/NNbwCwQZf6lEoAVinF/tAuY4yx
  khnlG5uaTNySgzhjjOnDeEHcPB3W5sXcUJwxxliJjBfEhQqmJqbGWDxjjFUYRg3i/Ks8jDGmHyMG
  cSUHccYY05Nxh1MED6cwxpg+jBfETXg4hTHG9GWUKJqtkL/iwz+/xhhj+jFeEFfxUApjjOnLeEGc
  eCiFMcb0ZaQgroQw3s97MsZYhWGcIK5UAcTDKYwxpi+jBHGFQgXBwymMMaY3I2XiSmMtmjHGKhTj
  ZOJKFQQPpzDGmN74xCZjjJVjRsvE+RJDxhjTn9GuThHg4RTGGNOX8YZTOBNnjDG9Ge/EJmfijDGm
  NyMGcc7EGWNMX0a7TpyDOGOM6Y+HUxhjrBzTKYgLIbyEELeEEHeEEDOLKOMphLgkhLguhDhaXH08
  nMIYY4ZhVlIBIYQJgJUAegN4CCBACLGPiG5plbEHsApAXyKKFELULK5OBQ+nMMaYQegSSTsAuEtE
  YUSUDWA7gMH5yowGsJuIIgGAiOKKq1ChVMGEh1MYY0xvugTx+gAitKYf5MzT1gxAdSHEUSFEgBBi
  bHEV8nAKY4wZRonDKU9RTzsAvQDYADgjhDhDRMH5C3p7e+PEpShkxsfC398fnp6eBmoCY4xVDP7+
  /vD399eprCCi4gsI0QmANxF55UzPAkBEtFirzEwAVkT0Xc70bwAOEdHufHUREWHubxfxc8iHiP/+
  4lOsFmOMVU5CCBBRob8sr8uYRgCAJkIIZyGEBYCRAHzyldkHoKsQwlQIYQ2gI4Cgoirk4RTGGDOM
  EodTiEgphJgEwA8y6P9OREFCiAnyaVpHRLeEEIcBXAWgBLCOiG4WVadCqYS86IUxxpg+dBoTJyJf
  AM3zzVubb/oHAD/oUp9SxVenMMaYIRjtG5smnIkzxpjejBPEVfxlH8YYMwSjRFIVD6cwxphBGC8T
  5+EUxhjTG4+JM8ZYOWaUSMpXpzDGmGEYbTiFM3HGGNOf8TJxwZk4Y4zpy4hBnDNxxhjTl5GCOA+n
  MMaYIRgtEzfl4RTGGNMbD6cwxlg5xlenMMZYOWa8r93zcApjjOnNiGPinIkzxpi+jBPESQkTEw7i
  jDGmL746hTHGyjG+OoUxxsoxow2nmPJwCmOM6c1oV6fwcApjjOmPT2wyxlg5ZrwTmxzEGWNMb8YZ
  TiEVzEx4OIUxxvSlUxAXQngJIW4JIe4IIWYW8nwPIUSSECIw5+/r4urjr90zxphhmJVUQMhfNF4J
  oDeAhwAChBD7iOhWvqLHieg1XRaqIhXMTDkTZ4wxfemSDncAcJeIwogoG8B2AIMLKSd0XSiPiTPG
  mGHoEknrA4jQmn6QMy+/zkKIy0KIA0KIF4qrUMXXiTPGmEGUOJyio4sAnIgoXQjRH8BeAM0KK+jt
  7Y24wOO4GaeAf1N/eHp6GqgJjDFWMfj7+8Pf31+nsoKIii8gRCcA3kTklTM9CwAR0eJiXhMK4EUi
  Ssg3n4gILu/MRfceCmwcP1enRjLGWGUmhAARFTpkrcuYRgCAJkIIZyGEBYCRAHzyLaC21uMOkDuH
  BBRBpeLhFMYYM4QSh1OISCmEmATADzLo/05EQUKICfJpWgfgdSHERwCyAWQAGFFcnSpSwdzUQv/W
  M8ZYJafTmDgR+QJonm/eWq3HqwCs0nWhSuKrUxhjzBCM841NKGFqykGcMcb0ZbS7GPKXfRhjTH9G
  ysRVMOPhFMYY05uRboClhBkPpzDGmN6MEkmJ753CGGMGYbQTmzycwhhj+jPe/cR5OIUxxvRmxCDO
  wymMMaYv44yJQwkzM87EGWNMX0a7xNCcM3HGGNOb8TJxHhNnjDG9GScTF9mwNDM3xqIZY6xCMU4m
  LrJhac5BnDHG9MWZOGOMlWNlHsSJAJhwJs4YY4ZQ5kFcpYIM4pyJM8aY3so8iCuVgDDLhrkJB3HG
  GNNXmQdxhQKAaTbMTTmIM8aYvoyTiZtmw4J/Y5MxxvRmvEych1MYY0xvRsvEeTiFMcb0x5k4Y4yV
  Y0bJxGHCmThjjBmCTkFcCOElhLglhLgjhJhZTLmXhBDZQohhRZXhTJwxxgynxCAuhDABsBJAPwDu
  AEYJIdyKKLcIwOHi6uNMnDHGDEeXTLwDgLtEFEZE2QC2AxhcSLlPAewCEFtcZQoFQCaciTPGmCHo
  EsTrA4jQmn6QM09DCFEPwBAiWgNAFFcZZ+KMMWY4ZgaqZzkA7bHyIgP5ihXeUN1Iw5IFS9C3d194
  enoaqAmMMVYx+Pv7w9/fX6eygoiKLyBEJwDeROSVMz0LABHRYq0y99QPAdQEkAbgQyLyyVcXXbpE
  aPe3BTLnpPK3NhljTAdCCBBRocmxLpl4AIAmQghnAFEARgIYpV2AiBprLexPAPvzB3C17GziMXHG
  GDOQEoM4ESmFEJMA+EGOof9OREFCiAnyaVqX/yXF1fdEoQRUphCi2KFzxhhjOtBpTJyIfAE0zzdv
  bRFl3y2urqzsbAjiLJwxxgyhzL+xmal4AhMO4owxZhBlHsQ5E2eMMcMp+yCuyOZMnDHGDMQomTgH
  ccYYMwyjZOI8nMIYY4ZhnEwcHMQZY8wQjBLETTmIM8aYQZT9JYaciTPGmMGUeRB/ouRMnDHGDMU4
  wymCgzhjjBmCUa5O4UycMcYMwyjDKWb5MnEXFxcIISrEn4uLS1l3KWOsEjPUj0Lo7IkiG6Yi733E
  w8LCUNJ9zcsLvjsjY6wsGWE4JQvmwqqsF8sYYxWSEe5imAlzYVnWi2WMsQqp7MfEVZmwMOFMnDHG
  DKHsh1OUWRzEGWPMQIxwdUomzE14OIUxxgyh7IM4ZcKynGXiiYmJGDp0KGxtbdGoUSNs27bN2E1i
  jDEAxrjEUJWFqqblKxP/+OOPYWVlhUePHiEwMBCvvvoq2rRpgxYtWhi7aYyxSq7MM/FsVSYsTctP
  Jp6eno49e/Zg/vz5qFKlCrp06YLBgwdj06ZNxm4aY4wZIYhTJqzMyk8Qv3PnDszNzeHq6qqZ5+Hh
  gRs3bhixVYwxJpX5cEo2ZcGiFMMphvgiZGm+FJqamgo7O7s88+zs7PD48WP9G8QYY3rSKRMXQngJ
  IW4JIe4IIWYW8vxrQogrQohLQogLQoheRdVV2kycSP+/0rC1tUVKSkqeecnJyahatWrpKmSMMQMq
  MYgLIUwArATQD4A7gFFCCLd8xY4QkQcRtQUwHsC6oupTIBNVytFwSrNmzaBQKBASEqKZd+XKFbi7
  uxuxVYwxJumSiXcAcJeIwogoG8B2AIO1CxBRutakLYC4oipTUBYszcrP1SnW1tYYNmwY5syZg/T0
  dJw8eRL79+/H2LFjjd00xhjTKYjXBxChNf0gZ14eQoghQoggAAcBfFZUZQpkoop5+cnEAWDVqlVI
  T0+Ho6Mj3nrrLfzyyy98eSFj7LlgsBObRLQXwF4hRFcAmwA0L6zc47NBOBmxHd7B5+Hp6QlPT09D
  NeGZcXBwwN9//23sZjDGKgl/f3/4+/vrVFaUdB9vIUQnAN5E5JUzPQsAEdHiYl4TAqADEcXnm0/2
  U1+Gd9clmDKsi/b8CnU/8YqyLoyx50NOXCn0Gj1dhlMCADQRQjgLISwAjATgk28BrlqP2wFA/gCu
  phSZsLYoX8MpjDH2vCpxOIWIlEKISQD8IIP+70QUJISYIJ+mdQCGCyHeBvAEQBqAEUXVJ4N4+Tmx
  yRhjzzOdxsSJyBf5xriJaK3W4yUAluhSl9I0vdyd2GSMsedV2d/F0Po+bCw5iDPGmCGUeRAHAGtL
  Hk5hjDFDMEoQ50ycMcYMo8yDeJ3DR1CtCt93hDHGDKHMg7hJWG+Ym5f1UhljrGIq8yD+8CHKXRBf
  tWoVXnrpJVhZWeHdd981dnMYY0yjzO8nDgBmRllq6dWvXx/ffPMNDh8+jIyMDGM3hzHGNIwSTstb
  Jj5kyBAAQEBAACIjI43cGsYYy2WUq1Os+OIUxhgziLL/ebbs0g2niO/0/302+pZvTMUYq1jKPIiX
  djycAzBjjBVklOEUxhhjhsFBXAdKpRKZmZlQKpVQKBTIysqCUqk0drMYY4yDuC7mz58Pa2trLF68
  GFu2bIG1tTUWLFhg7GYxxljJv+xj0IUJQYUtryL9Gk5FWhfG2PNB31/2YYwx9pziIM4YY+UYB3HG
  GCvHOIgzxlg5xkGcMcbKMQ7ijDFWjj0XN4V1dnaGEPrfG+V54OzsbOwmMMYqEZ2uExdCeAFYDpm5
  /05Ei/M9PxrAzJzJxwA+IqJrhdRT6HXijDHGiqbXdeJCCBMAKwH0A+AOYJQQwi1fsXsAuhORB4D5
  AH7Vr8kVn7+/v7Gb8NzgvsjFfZEX90fJdBkT7wDgLhGFEVE2gO0ABmsXIKKzRJScM3kWQH3DNrPi
  4Y0zF/dFLu6LvLg/SqZLEK8PIEJr+gGKD9LvAzikT6MYY4zpxqAnNoUQPQGMB9DVkPUyxhgrXIkn
  NoUQnQB4E5FXzvQsAFTIyc3WAHYD8CKikCLq4rOajDFWCkWd2NQlEw8A0EQI4QwgCsBIAKO0Cwgh
  nCAD+NiiAnhxjWCMMVY6JQZxIlIKISYB8EPuJYZBQogJ8mlaB+AbANUBrBbygu9sIurwLBvOGGOs
  jO8nzhhjzLDK7Gv3QggvIcQtIcQdIcTMkl9RvgkhfhdCxAghrmrNcxBC+AkhbgshDgsh7LWemy2E
  uCuECBJC9DVOq58NIUQDIcR/QogbQohrQojPcuZXuv4QQlgKIc4JIS7l9MfCnPmVri8A+T0UIUSg
  EMInZ7pS9oNeiOiZ/0HuLIIBOAMwB3AZgFtZLNtYf5BX6LQBcFVr3mIAM3IezwSwKOfxCwAuQQ5v
  ueT0lTD2OhiwL+oAaJPz2BbAbQBulbg/rHP+m0J+r6JLJe6LqQA2A/DJma6U/aDPX1ll4iV+Yaii
  IaKTABLzzR4MYEPO4w0AhuQ8fg3AdiJSENF9AHch+6xCIKJoIrqc8zgVQBCABqi8/ZGe89ASMsFJ
  RCXsCyFEAwADAPymNbvS9YO+yiqIP+0XhioqRyKKAWRgA+CYMz9//0SigvaPEMIF8gjlLIDalbE/
  cjBhHw4AAAGrSURBVIYQLgGIBuBPRDdROfviJwBfANA+MVcZ+0EvfCta46pUZ5WFELYAdgGYnJOR
  51//StEfRKQioraQRyPdhBCeqGR9IYR4FUBMzhFacZceV+h+MISyCuKRAJy0phvkzKtsYoQQtQFA
  CFEHQGzO/EgADbXKVbj+EUKYQQbwTUS0L2d2pe0PACCiFAAHAbRH5euLLgBeE0LcA7ANQC8hxCYA
  0ZWsH/RWVkFc84UhIYQF5BeGfMpo2cYkkDfL8AHwTs7jcQD2ac0fKYSwEEI0AtAEwPmyamQZ+QPA
  TSL6WWtepesPIURN9RUXQogqAPpAnrCrVH1BRF8SkRMRNYaMB/8R0VgA+1GJ+sEgyuoMKgAvyKsS
  7gKYZewzumWwvlsBPASQBSAc8p4yDgCO5PSDH4BqWuVnQ55xDwLQ19jtN3BfdAGghLwq6RKAwJzt
  oXpl6w8ArXLW/xKAKwCm58yvdH2htX49kHt1SqXth9L+8Zd9GGOsHOMTm4wxVo5xEGeMsXKMgzhj
  jJVjHMQZY6wc4yDOGGPlGAdxxhgrxziIM8ZYOcZBnDHGyrH/B29lV1rlBPanAAAAAElFTkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795a61c7d0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAJZCAYAAACTE4A9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3XuYnVV99//3F8JZEqPARHLijKAU0IpWUAaonERA66Mg
  JSgKKlCtF1USbWtqn6carbX8aqknqpECEUEFrUJAmLZQFeQoJEA8hIRAhqNBQCGQ7++PdQ/ZM9lD
  JiRZM5P9fl3XXLn3fVx7zT3Zn1lr3WsiM5EkSdL6tdFwF0CSJKkTGLokSZIqMHRJkiRVYOiSJEmq
  wNAlSZJUgaFLkiSpAkOXJElSBYYuSRIRcU1EnFz72Oc559SIWBERL+hzqjl2p3VZJmltGbqk9SQi
  XhcR1zbLKyJiaesHSESMiYgHIuLZlnXPfXhFxIHNcV8ccN7/iYhpzfJJEfE/ba7dExGPRMQmA9Z/
  PSKeiojHmq/fRcTNz/MeDmj2eSwiHm/K81jLukkt+34jIpZHRNeAc8xsjnt7y7qNm3VTWsr1qQHH
  DelDdyjHRkR3RFwdEb+NiF+3OcfUZvsTETEvIg4ZsP1dEbGwed/fiYgXP1+ZmmN6IuL3EbGsue4N
  EXFWRGw6YL89I+LSZp9lEfHjiPiTAfusaK7dV+9fGbD9IxFxf3OOrw38vo9iazN7tzN/a8QxdEmD
  iIhYy1O8Gfhhy+tHgSNaXh8BPLKaczwBnNgXTgbR78MlIqYC+wEPAEe32X9WZo5tvrbOzH0HPXHm
  tc0+Y4FXNNca17cuM+9trrkl8DZgHvDnbcr3MPB3A+p0KB+K6+pD9wngXOCvBtn3QuBG4CXAXwMX
  R8RLASLiFcCXgBOALuD3wL8N8fqnZeY44GXAmcBxtNwTEbEzcC1wK7ADsD3wPWBuRLx2wLn+qKXe
  T205x2HAx4CDgKnAzsDfDaF8G7q1/fmV1jlDl0a1puXg3ua3//kRcVBEbBQRH4+IXzYtBzdExMRm
  /9dHxPUR8WhE/Ky1RaFpZfq/EXFtRDwB7BgRYyPi3Ii4LyIWR8Tf9wWHiNi5ac34bZQWqwsHFO9I
  4D9bXp8HnNTyehowezVv8bfAN4CZa1At04ArgW8C716D44aq3YfZnwG/AWYNcs0rgKeBE1dznvUi
  M2/IzPMpZewnInYF9gVmZuZTmfkd4DbKewJ4F3BZZl6XmU8CfwO8LSK2GsKlo7n+7zPzvykh+E8i
  4shm+0zgfzPzbzPzt5n5RGb+C+Ve+eyA8wz2//U04NzMvDMzlwGfAt7TtjARm0XEeRHxUMvPwLYt
  u+zQ3P+PRcTlEfGSlmNfFxHXNcfdHBEHtjn/ps32PVvWbRMRT0bENs3ro5rjH22utddq6u+9EbGk
  +Tqz5byviYj/bc6zJCL+JSLGDPK+D4iIRRHxxue5lrTeGbo0akXEbsDpwKublpjDgIWUFoV3Aoc3
  rQwnA09GxHjgB8A/Ay8FvgD8Z7O+z58D7wO2BhZRQtFTwE6UD+Y3NdsB/h64IjNfDEwC/qWlbBOA
  7TLz1mZVUlow3tgEuRcDBwCXruZtJvD/gD9rwsFQTAO+BXwbOGzAh+r6clJzze8Du0TEwNazFZSw
  8smI2HiI51ybULYmx74C+HVmPtGy7tZmfd/2vu8jmflryj2x25oWKjMXAz8H3tCs+lPK92mgi4DX
  R8RmLev+qwn/Fzetma3lv7Xl9a3AdgPu6z4nAWOBiZRWvQ9QWu76HN/ssy2wGU3LYPNLyw+AT2Xm
  +Gb9JX2tgS3v72ngkuY8fd4B9GTmQ819cS5wSnP9LwOXraY7tJvSencYcFZEHNysfxb4y+Y8fwIc
  DJw28OCIOBw4H3hrE3ylYWPo0mj2LLAp8MqIGJOZizLzN8B7gU9k5i8BMvMXmfkopbvv7sy8IDNX
  ZOYc4E7gLS3n/EbTYrCC8p/5EcBHMvMPmfkQJbAd1+y7HJgaERMz8+nM/N+W8xwJXD6gvH8ALmuO
  f2ez/NTq3mRmPkDp3vrU6vaNiAMoH6iXZeYC4A5KS02rj0YZ7/Vo8+/XV3fe1VxzCuWD8duZ+TvK
  +57W5n38AHiQlaF1oL5yPRIRj9A/SKzO2hz7ImDZgHWPUYL3ULavqfso9xbANsD9bfa5n/L/c99+
  b6R0P7682faDWDnWbWD5HqOEznblW075hWO3LG7OzMdbtn89M3+VmU9Rgt8+zfoTgP/MzCsAMvPH
  lPB4JKu6kP6h612U0AMlbH0pM3/eXP88ys/A69qcp8/M5ufvduDrfefOzJsy8/rmPIuArwADW9/e
  QekKPjwzb3yea0hVGLo0amXmryi/6c4EHoiICyLiZcBkYJXB0pTxMvcMWHcPJaT0WdyyPBXYBLi/
  L6RQwk9fy9FHKT9D10fELyKitUvnSPqP5+preTmPEkhOpHT/DdUsSqvVH61mv2nA3JYP0m/Tv0sT
  4HOZ+ZLMHN/827Yrag2cCNzehDyAi4ETBmnR+mvgE8Dmbbb1leslmfkSYHXvdV0d+zil9afVOOB3
  Q9y+piaycizfQ5TxXgO9jNI6+Cg8N7bumcx8DPgwJYDtMUj5xlFaSNuV75uUrt45Tbf8rAHfp6Ut
  y09SAh2Un4V3tATbR4H9gQltrnENsEXT/TcV2JvSytt3njMHnGcS5WeznQTubXl9T9++EbFrRHw/
  mgcIKC3C2ww4/sPARZk5f5DzS1UZujSqZeaczHwD0DfQfBalW3DnNrvfR/mwajUFWNJ6ypblxZTW
  qZe2hJQXZ+YfNdd+IDNPzcyJlG6acyJip2ZcyYGUcVUDy/s/lA/U7TLzujV4n49QWtn+nkEGl0fE
  5pTf7A9uPojup3S17r2acTNr60Rg15Zr9nXfrtIKkplXAb+kdAONlKfL7gB2GjBGa+9mfd/2vfs2
  RBn8vglw95peKCImA68G+rq5rgL+T5td3wn8JDP/0O40A/7tVz5K61Rv07rbT2Y+m5l/n5mvAF4P
  HEWbVsk2FgPfbAm245tB/Z9rc40VlFayd1FapX7Q0nW7GPh/A87zosz81vNce3LL8hTKzzGUFqz5
  wM5NF/8n6N+tnJS6fWtEfGgI71Fa7wxdGrUiYrcoA+c3pQzS/j2ly/FrwP+NiF2a/fZqxrf8kBIO
  josyZcE7Ka0F3293/sxcCswFvhARW0exU99g3Ih4ezPWBcqA9xXN1wHArQO6bVodBRzT+laG+Ja/
  QPmg3GOQ7W8Fnmm279187UF5Om4oH6xD0a+sUR5E2Al4Tcs1X0HpYhrsmn9Nedpuja+3hp47tvne
  bUbpjt4oyoDyTQCaFrpbKOPNNouItwGvpIxNgtI19paI2L8JZp8CLhkwBuz5CxKxRTPw/HvATzPz
  R82mv6OM3fr7iBgfES+KiL+gjC38WHPsnhGxd5QHRF4E/BOl9aev9eablMHmezT3+V9TuuHalaM7
  Il7ZdE0+TulufLbdvgP8R1MHhzbl2DzKlCaDtVBdSAmO7wIuaFn/VeADEbFfU56tIuLIGPyhhAD+
  pqm/V1AeEJjTbNsaeCwzn4yIlwMfbHPsfcAhwIci4gNDeJ/SejWk0BURMyLijoi4LSLOj/KEyviI
  mBsRd0XEFRExbsD+C6I8TXbo+iu+OtxmwGco44Tuo3T7zaCEk29RHrtfRglhWzStRUdRBgE/1Pz7
  5pYWgXYtL9MoH9TzKF1C32Zll8prgJ9FxGOUD9MPZeZCVp0qot+5M3P+gO6OHGS5/wnKeKnPsnKc
  T7uy/ntmLmla4R5oxoN9kdLd1/fz/rHoP0/XA4Nds10x2lzze5k5b8A1zwaOijbzWTVj365/vvf6
  PNdbk31a17+REsp/QGk5eZLSzdbnOMr381GaBxcy8+GmvPMoLZkXULrftqA8wDEUX2zuwaWUsPRt
  WqYNacYdHkBpnVpIuY/fChyamT9tduui3M/LKK2Ek4GjMvPZ5hxXUO6LayhPZ/6KlqddI+KHETG9
  eTmB0v27jNJCdg0lUA2sr36yTA1yDPBxys/bPZSfn757Kgfsfz1lmo6XAT9qWX8jZVzXF5uxd3fT
  0v09oKx95/2v5n1fCXy2GU9Gc/0Tmp+/L7MyjLUe2/fwwp9SBuGv0wlcpTUVmc//f1rTJ38N8PLM
  fDoivkX5QNkTeDgzPxsRZwHjM3N6lEeFz6f8BzaJ0ny+a67uQtIGIiLuoHxo3zncZZEkjRxDael6
  jNJ1s1UzVmULyhiYY1g5x9Bs4Nhm+WhgTjPocyGwgDJRo7TBa7qsZhu4JEkDrTZ0NV0vn6cMTl4C
  LGsGw3ZlZm+zz1Jgu+aQifR/AmwJ/Z8OkzZYmbk8Mz+7+j1Hlih/5uZ3Ld2OfV2PvxjusgFExO1t
  yvZYRBy/+qPXa7na1dljEbH/cJZL0sjUdvbeVlH+YOhHKI/6LgO+HREnsGr/v92H0iiVmRfQf8Dz
  iJKZrxzuMrSTmS90ri5JHWi1oQv4Y+C6ZhAyEfFdyhNUvRHRlZm9UWbf7huMu4T+j/hOov8j+TTn
  MaRJkqRRIzPX6s+XDWVM113A65pHhIPy+O08ymza7272OYmVf87kMuC45gnHHYFdKE8qrSIz/Rrw
  9clPfnLYyzASv6wX68U6sV6sF+tlOL/WhdW2dGXmrRHxTeBGynwuN1P+3MLWwEXNI7j3UCZlJDPn
  RcRFlGC2HDgt11VpJUmSRqmhdC+SZdbhgTMPP0KZ+6Td/p8GPr12RZMkSdpwOCP9CNPd3T3cRRiR
  rJf2rJdVWSftWS/tWS/tWS/rx2onR11vF46w11GSJI0KEUFWGEgvSZKktWTokiRJqsDQJUmSVIGh
  S5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ck
  SVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKk
  CgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUY
  uiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJ
  kiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJ
  qsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFUwZrgL0M6ECTvQ23vP
  cBdjxOnqmsrSpQuHuxiS1BGmTJnA4sW9w12MEWfy5C4WLVo63MUYlSIzh+fCETnYtSMCGJ5yjWzB
  cH2/JKnTRATXXDPcpRh5DjqIjvwsiggyM9bmHKvtXoyI3SLi5oi4qfl3WUR8KCLGR8TciLgrIq6I
  iHEtx8yIiAURMT8iDl2bAkqSJG0IVhu6MvPuzNw3M18FvBp4AvguMB24KjN3B64GZgBExJ7AO4A9
  gCOAc6I0XUmSJHWsNR1I/6fArzJzMXAMMLtZPxs4tlk+GpiTmc9k5kJgAbDfOiirJEnSqLWmoeud
  wAXNcldm9gJk5lJgu2b9RGBxyzFLmnWSJEkda8ihKyI2obRifbtZNXAUXeeNqpMkSRqiNZky4gjg
  xsx8qHndGxFdmdkbEROAB5r1S4DJLcdNatatYubMmc8td3d3093dvQbFkSRJWj96enro6elZp+cc
  8pQREXEhcHlmzm5ezwIeycxZEXEWMD4zpzcD6c8HXkvpVrwS2HXg/BBOGfFCOGWEJNXilBHtOWXE
  Czeklq6I2JIyiP7UltWzgIsi4mTgHsoTi2TmvIi4CJgHLAdOGzRdSZIkdQgnRx1VbOmSpFps6WrP
  lq4Xzr+9KEmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJ
  klSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSp
  AkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG
  LkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S
  JEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS
  KjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgUjOnQddhjMnw933QUf+9iq2888E266CW68
  EW67DZYvh3Hjyrbf/AZuuaVs/9nPVh4zaxbMmwc33wwXXwxbb13nvUiShu7yX17Oy7/4cnb7l92Y
  de2sVbY//OTDHHH+EezzpX3Y69/24hu3fGO1x14872Jeec4r2fhTG3PT/TcNqRzXXw/TpsGJJ8KF
  F666fdkyOOsseN/74OST4fLL+29fsQJOPRU+8YlVj73oIjj4YHjssSEVRRuAERu6IuCLXyzB6xWv
  gOOPh91377/P5z8Pr3oVvPrVMGMG9PSUHwAoN3p3d9n+2teuPGbu3HK+ffeFBQvKcZKkkWNFruCM
  H57BFX9+BXecdgcX3n4hdz50Z799vnj9F9mnax9u+cAtXHPSNZw590yeWfHM8x6713Z78d13fpcD
  px445LKcfTZ89rPw9a/Dj38Mixb13/6978Euu8DXvgZf+AL827/Bs8+u3H7JJTB16qrnffBB+PnP
  oatryEXRBmDEhq799iuhaNEieOYZmDMHjjlm8P2PP77/byERsFGbd/fjH0NmWf7pT2HSpHVbbknS
  2rl+yfXs+tJdmfriqWyy8SYc98rjuPTOS/vtM+FFE/jd078D4HdP/Y6XbvFSxmw05nmP3X2b3dn1
  pbuS5JDLMmkSTJgAY8aUVqnrruu/ffx4ePLJsvzkkzB2LGy8cXn94IOlp+XNb171vP/6r/CBDwy5
  GNpAjNjQNXEiLF688vW995Z17Wy+ORx+ePmNok8mXHllaRp+3/vaH3fyyfCjH627MkuS1t6Sx5Yw
  eezk515PGjuJJb9b0m+fU159Cnc8eAfbf3579v7S3px9+NlDPnZNbLtt/+UHH+y//aijYOFCePvb
  y2fNGWes3DZYsLruunKunXZ6wcXSKDViQ9eaeMtb4NprV3YtAuy/f+l2PPJIOP308rrVxz9exoC1
  66OXJI1sn/6fT7N3197cd+Z93Pz+mzn9h6fz+NOPVy/HBRfAzjuXMcJf+Urpjvz97+EnPymtYLvs
  Uvbr62F56ik4/3x4z3tWniOH3vCmUW7McBdgMEuWwJQpK19PmlTWtXPccauGp6VLy78PPQTf/W7p
  ruxrFj7ppBLGDj543ZdbkrR2Jo6dyKJlKwdP3fvYvUzcun9Xx3WLr+MTbyij03d+yc7sOH5H7nzo
  ziEduyYeeGDl8oMP9m/5Arj9djjhhKbcE0tX5KJFZf3//m/pXnzqqdL1+A//UIbCLF1aWsUyyznf
  //4yFmz8+BdcTI0SI7al64Ybym8IU6bAJpuUYHXZZavuN3YsHHggXNrS3b/FFrDVVmV5yy3h0EPL
  DwCUgfkf/SgcfTQ8/fT6fx+SpDXzmu1fwy8f+SX3/PYenn72aebcPoejdz+63z57bLMHV/36KgB6
  H+/l7ofvZqfxOw3pWIAcYvPSkiUlJC1fDldfDa9/ff/tU6aUp+QBHnmkDIV52cvglFPgW98qLWF/
  8zfloa6Pfxx23BG+852y/sILS4j76lcNXJ0ihnrjrfMLR+Rg154wYQd6e+/hsMMO4+yzz2ajjTbi
  3HPPZdasWZx66qlkJl/96lcBmDZtGocddhgn9P2qAeywww5897vfJTMZM2YM559/PrNmlceG7777
  bjbddFMefvhhAH76059y+umnr+d3u250dU1l6dKFw10MSVrvLv/l5Xz48g+zIlfw3n3fy/QDpvPl
  n3+ZiODUV5/KQ08+xHsufQ+Lli0iM5lxwAyO3+v4QY8F+N6d3+MvfvQXPPTkQ7x48xezz4R9+NEJ
  gw/snTJlAosX91Z5v6PJ5MldLFq0dLiLUV1EkJmxVucYiaFLkiRpJFkXoWvEdi9KkiRtSIYUuiJi
  XER8OyLmR8QdEfHaiBgfEXMj4q6IuCIixrXsPyMiFjT7H7r+ii9JkjQ6DLWl62zgh5m5B7A3cCcw
  HbgqM3cHrgZmAETEnsA7gD2AI4BzImKtmuMkSZJGu9WGrogYC7whM78OkJnPZOYy4BhgdrPbbODY
  ZvloYE6z30JgAbDfui64JEnSaDKUlq4dgYci4usRcVNEfCUitgS6MrMXIDOXAts1+08EWuaSZ0mz
  TpIkqWMNZXLUMcCrgNMz8+cR8QVK1+LARw/X+FHEmTNnPrfc3d1Nd3f3mp5CkiRpnevp6aGnp2ed
  nnO1U0ZERBfwk8zcqXl9ACV07Qx0Z2ZvREwArsnMPSJiOpCZOavZ/3Lgk5n5swHndcoISZI0KlSZ
  MqLpQlwcEbs1qw4B7gAuA97drDsJ6JsT/jLguIjYNCJ2BHYBrl+bQkqSJI12Q/3bix8Czo+ITYBf
  A+8BNgYuioiTgXsoTyySmfMi4iJgHrAcOM0mLUmS1OmckV6SJGk1nJFekiRplDB0SZIkVWDokiRJ
  qsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSB
  oUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOX
  JElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkV
  GLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0
  SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFUwZrgL
  0M6ECTvQ23vPcBdjxOnqmsrSpQuHuxgjzoRJE+hd0jvcxRhxuiZ2sfTepcNdjBHFe6U975X2pkyZ
  wOLF3i8DTZ7cxaJF3i8vRGTm8Fw4Ige7dkQAw1OukS0Yru/XSBYRMHO4SzECzcT7ZQDvlUHM9F5p
  JyK45prhLsXIc9BBnXm/RASZGWtzjiF1L0bEwoi4NSJujojrm3XjI2JuRNwVEVdExLiW/WdExIKI
  mB8Rh65NASVJkjYEQx3TtQLozsx9M3O/Zt104KrM3B24GpgBEBF7Au8A9gCOAM6J0nQlSZLUsYYa
  uqLNvscAs5vl2cCxzfLRwJzMfCYzFwILgP2QJEnqYEMNXQlcGRE3RMT7mnVdmdkLkJlLge2a9ROB
  xS3HLmnWSZIkdayhPr24f2beHxHbAnMj4i5WHeneeaPqJEmShmhIoSsz72/+fTAivkfpLuyNiK7M
  7I2ICcADze5LgMkth09q1q1i5syZzy13d3fT3d29puWXJEla53p6eujp6Vmn51ztlBERsSWwUWY+
  HhFbAXOBvwMOAR7JzFkRcRYwPjOnNwPpzwdeS+lWvBLYdeD8EE4Z8UI4ZUQ7TgMwiJmd+Vj38/Fe
  GcRM75V2nDKiPaeMeOGG0tLVBXw3IrLZ//zMnBsRPwcuioiTgXsoTyySmfMi4iJgHrAcOG3QdCVJ
  ktQhVhu6MvM3wD5t1j8C/Okgx3wa+PRal06SJGkD4d9elCRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG
  LkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S
  JEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS
  KjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg
  6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl
  SZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5Ik
  qQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKmCMcNdgHa6
  uqbS2xvDXYwRp6tr6nAXYUTqmthF78ze4S7GiNM1sWu4izDieK+0573S3uTJXRx0kPfLQJMne7+8
  UJGZw3PhiByua0uSJK2JiCAz16pFaMjdixGxUUTcFBGXNa/HR8TciLgrIq6IiHEt+86IiAURMT8i
  Dl2bAkqSJG0I1mRM14eBeS2vpwNXZebuwNXADICI2BN4B7AHcARwTkTYVyhJkjrakEJXREwCjgS+
  1rL6GGB2szwbOLZZPhqYk5nPZOZCYAGw3zoprSRJ0ig11JauLwAfBVoHYXVlZi9AZi4FtmvWTwQW
  t+y3pFknSZLUsVYbuiLizUBvZt4CPF83oaPiJUmSBjGUKSP2B46OiCOBLYCtI+I8YGlEdGVmb0RM
  AB5o9l8CTG45flKzbhUzZ858brm7u5vu7u41fgOSJEnrWk9PDz09Pev0nGs0ZUREHAicmZlHR8Rn
  gYczc1ZEnAWMz8zpzUD684HXUroVrwR2HTg/hFNGSJKk0WJdTBmxNpOjfga4KCJOBu6hPLFIZs6L
  iIsoTzouB04zXUmSpE7n5KiSJEmrUXVyVEmSJL1whi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiS
  JEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmS
  VIGhS5KtcudTAAAYpElEQVQkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA
  0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFL
  kiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJ
  UgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQK
  DF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFYwZ
  7gK0M2HCDvT23jPcxRhxurqmsnTpwuEuxoizw4QJ3NPbO9zFGHGmdnWxcOnS4S7GiOK90p73SntT
  pkxg8WLvl4EmT+5i0SLvlxciMnN4LhyRg107IoDhKdfIFgzX92skiwjvljYCvF8G8F5pz3ulvYjg
  mmuGuxQjz0EHdeb9EhFkZqzNOVbbvRgRm0XEzyLi5oi4IyL+oVk/PiLmRsRdEXFFRIxrOWZGRCyI
  iPkRcejaFFCSJGlDsNrQlZlPAQdl5r7AHwEHR8T+wHTgqszcHbgamAEQEXsC7wD2AI4AzonSdCVJ
  ktSxhjSQPjOfbBY3a455FDgGmN2snw0c2ywfDczJzGcycyGwANhvXRVYkiRpNBpS6IqIjSLiZmAp
  0JOZ84CuzOwFyMylwHbN7hOBxS2HL2nWSZIkdawhPb2YmSuAfSNiLHBFRHSz6kj3zhtVJ0mSNERr
  NGVEZj4WET8E/hjojYiuzOyNiAnAA81uS4DJLYdNatatYubMmc8td3d3093dvSbFkSRJWi96enro
  6elZp+dc7ZQREbENsDwzl0XEFsAVwN8BhwKPZOasiDgLGJ+Z05uB9OcDr6V0K14J7DpwfginjHgh
  nDKiHacBaM9pAFblvdKe90p7ThnRnlNGvHBDael6GTC7eQJxI+C8zPxxM8broog4GbiH8sQimTkv
  Ii4C5gHLgdMGTVeSJEkdwslRRxVbutqx9aI9Wy9W5b3SnvdKe7Z0tWdL1wvn316UJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJD
  lyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5J
  kqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJ
  FRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiS
  JEmqwNAlSZJUgaFLkiSpghEdug47DObPh7vugo99bNXtZ54JN90EN94It90Gy5fDuHFl2/TpcPvt
  cOut8B//AZtssvK4M86AefPKMZ/+dJ33ovXrcuDlwG7ArDbb/xHYF3gVsBcwBvgtcHfL+n2BccD/
  1xxzMfBKYGPgpvVYdkkj1/XXw7RpcOKJcOGFq25ftgzOOgve9z44+WS4/PKV2x5/HGbOhJNOgne/
  u3zuAPzqV+Vz6L3vhU98An7/+xrvRCNBZObwXDgiB7t2RBCR3H03HHII3Hcf3HADHHdcCWDtvPnN
  8Jd/CW96E0yZAtdcAy9/eQlic+bAf/4nnHcedHfDjBlw5JHw7LPw0pfCww+vv/e5bgXD9f0aySKC
  nYEfA9sDrwHmUEJYOz8A/hm4asD6FcAk4Prm37sov5W8nxLaXrXOS75+BXi/DBARWCOr8l5pLyLY
  fnv4/Odhm23gAx+Av/3b8hnTZ/ZsePppOOWUEsCmTYPvfAc23hg+8xnYe2844ojyefOHP8BWW8EH
  PwinnQZ77VVC2n33lcA2Whx0UGfeLxFBZsbanGPEtnTttx8sWACLFsEzz5TgdMwxg+9//PErfwt5
  7LHyQ7DVVuXG33LLclND+aH5zGfKDwCMpsCl57MrMBXYBDgOuPR59r0QOL7N+quAnSmBC2D35ryd
  91+LpD6TJsGECTBmDBx8MFx3Xf/t48fDk0+W5SefhLFjy+fOE0/AL35RAheUdVttVZbvvbcELoBX
  vxr++7/rvBcNvxEbuiZOhMWLV76+996yrp3NN4fDD4dLLimvf/vb8pvJokWwZEl5/eMfl2277QZv
  fCP85Cdw9dXlhtfoN7lleRKwZJD9fk/pivyzNtu+RfswJqlzbbtt/+UHH+y//aijYOFCePvbSxfj
  GWeU9fffXwLYrFlw6qnwj/8ITz1Vtu2ww8rwds018NBD6/tdaKQYsaFrTbzlLXDttaVpF2DHHeEj
  H4GpU2H77eFFLyotYVB+Wxk/Hv7kT8o4sYsuGr5yq77vAwcALx6wfjlwGfB/qpdI0mh2wQWw885w
  8cXwla/A2WeXMVrPPlt6a449tqzffPOyL8BHPwrf+17pefnDH8rnkjrDiA1dS5b07zefNKmsa+e4
  4/oPcPzjPy6/RTz6KKxYUfrXX//6su3ee8trgJ//vGx/yUvWz3tQPYtalu8FBmkUZQ7tW7N+BLwa
  2LbNNkmd64EHVi4/+GD/li8oD2wdeGBZnjixdEUuWlT222472H33su3AA0sIg/LZ9rnPwZe+VLos
  t99+/b8PjQwjNnTdcAPssku5OTfZpASryy5bdb+xY8vNfGnLIJ677oLXvQ4226y8PuSQ8hQklN8u
  Dj64LO+6azn3I4+s3/ei9e+XwD3A05RgdXSbfZYB/wW0Gxo42DivPo7rkjrTkiWwdGl5KOvqq1f+
  At9nypTyFD2Uz5J774WXvaz8Mr/ttiuHydx0U+l9gTLkBcov/eedB0e3+w9LG6bMHJavcun2urqm
  JpCHHXZY3nnnnXn33XfnWWedlUCeeuqpecoppyTlczCnTZuW559//nOv+77+6q/+Km+//fa89dZb
  8xvf+EaOGTMmgRwzZkx+85vfzNtuuy1vuOGGfOMb37jKsSP1q6tr6qB11smmdnUN+/dmJH5N7eoa
  7m/NiOO94r2yJiZP9n5p9zV5cmfeL0DmWmafETllhCRJ0kiyQU8ZIUmStCFZbeiKiEkRcXVE3BER
  v4iIDzXrx0fE3Ii4KyKuiIhxLcfMiIgFETE/Ig5dn29AkiRpNFht92JETAAmZOYtEfEi4EbKWOT3
  AA9n5mcj4ixgfGZOj4g9gfMpE4NPosw5uevAvkS7FyVJ0mhRpXsxM5dm5i3N8uPAfEqYOgaY3ew2
  Gzi2WT4amJOZz2TmQmABsN/aFFKSJGm0W6MxXRGxA7AP8FOgKzN7oQQzYLtmt4lAy1zyLGHwaZMk
  SZI6wpDnwW26Fi8GPpyZj0fEwL7BNe4rnDlz5nPL3d3ddHd3r+kpJEmS1rmenh56enrW6TmHNGVE
  RIwBfgD8KDPPbtbNB7ozs7cZ93VNZu4REdMpc1nMava7HPhkZv5swDkd0yVJkkaFmlNG/Dswry9w
  NS4D3t0snwRc2rL+uIjYNCJ2BHYBrl+bQkqSJI12Q3l6cX/gv4FfsHJG2o9TgtRFwGTKX2B5R2b+
  tjlmBvBeyt8R/nBmzm1zXlu6JEnSqLAuWrqckV6SJGk1nJFekiRplDB0SZIkVWDokiRJqsDQJUmS
  VIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkC
  Q5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYu
  SZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIk
  SRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIq
  MHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDo
  kiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFUwZrgL0M6ECTvQ
  23vPcBdjxOnqmsrSpQuHuxiS1BGmTJnA4sW9w12MEWfy5C4WLVo63MUYlSIzh+fCETnYtSMCGJ5y
  jWzBcH2/JKnTRATXXDPcpRh5DjqIjvwsiggyM9bmHKvtXoyIcyOiNyJua1k3PiLmRsRdEXFFRIxr
  2TYjIhZExPyIOHRtCidJkrShGMqYrq8Dhw1YNx24KjN3B64GZgBExJ7AO4A9gCOAc6I0W0mSJHW0
  1YauzLwWeHTA6mOA2c3ybODYZvloYE5mPpOZC4EFwH7rpqiSJEmj1wt9enG7zOwFyMylwHbN+onA
  4pb9ljTrJEmSOtq6mjKi80bUSZIkrYEXOmVEb0R0ZWZvREwAHmjWLwEmt+w3qVnX1syZM59b7u7u
  pru7+wUWR5Ikad3p6emhp6dnnZ5zSFNGRMQOwPczc6/m9SzgkcycFRFnAeMzc3ozkP584LWUbsUr
  gV3bzQ3hlBEvhFNGSFItThnRnlNGvHCrbemKiAuAbuClEbEI+CTwGeDbEXEycA/liUUyc15EXATM
  A5YDpw2arCRJkjqIk6OOKrZ0SVIttnS1Z0vXC+ffXpQkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5J
  kqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJ
  FRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiS
  JEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmS
  VIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKmC
  ER26DjsM5s+Hu+6Cj31s1e1nngk33QQ33gi33QbLl8O4cWXbhz5U1t12W1nu87d/C4sXl2NuvLFc
  Q5Kkdq6/HqZNgxNPhAsvXHX7smVw1lnwvvfBySfD5ZeX9U8/DR/8IJxyCrz73fDVr6485s47V277
  4AfLZ5w6Q2Tm8Fw4Ige7dkQQkdx9NxxyCNx3H9xwAxx33OA355vfDH/5l/CmN8Gee5Yfjte8Bp55
  pvwQvP/98JvflND1u9/BF76wHt/cehMM1/dLkjpNRLD99vD5z8M228AHPlA+Q6ZMWbnP7NklYJ1y
  Sglg06bBd74DG28Mf/gDbL45PPss/MVflIC1117wkY/Au95VPqN+9jOYM2d0fSYddBAd+VkUEWRm
  rM05RmxL1377wYIFsGhRCU5z5sAxxwy+//HHr/wtZI89yo389NOwYgX813/B2962ct9YqyqTJHWK
  SZNgwgQYMwYOPhiuu67/9vHj4ckny/KTT8LYsSVwQQlcUHphMmHrrcvrl7wEnniiLD/+eAl06gwj
  NnRNnFi6Afvce29Z187mm8Phh8Mll5TXt98Ob3gDvPjFsMUWcOSRMHnyyv3POANuvrk0944du/7e
  gyRpdNt22/7LDz7Yf/tRR8HChfD2t5cuxjPOWLltxYrSAvZnfwZ77w077FDWn3oqnHMOvPOd8OUv
  l33UGUZs6FoTb3kLXHttadqF0gU5axZceSX88IclYD37bNl2zjmw006w776wdCn80z8NX7klSaPb
  BRfAzjvDxRfDV74CZ58Nv/992bbRRuWX+4suKuOLb7mlrP/c58pY4299C04/HT772eErv+oasaFr
  yZL+/eaTJpV17Rx33KoDHL/xjdJfftBB8Nvfwt13l/UPPbRyn69+tewjSVI7DzywcvnBB/u3fEHp
  WTnwwLI8cWLpily0qP8+W20Fr3vdys+h+fPhgAPK8oEHloH16gwjNnTdcAPssksJXptsUoLVZZet
  ut/YseWmvfTS/uv7+sgnT4a3vrX8NgLQ1bVyn7e9rfzASJLUzpIlpVdk+XK4+mp4/ev7b58ypTxF
  D/DII2UozMteVnpeHn+8rH/qqfK0/C67lNcTJ65s9brxxtKooM4wZrgLMJgVK0rf+Ny5pYn23HPL
  bwOnnloGJPY9fnvssXDFFeUpkVaXXFIGKy5fDqedVp5YhNKMu88+5fwLF5anGiVJaufDHy5TFq1Y
  UcYHT51aGgAiytCWE04ow1ne+96y//vfXxoDfv1r+MxnyufVihVw6KHwqleVfc48E/75n8tDYptu
  Wl6rM4zIKSMmTNiB3t57Kpdo5OvqmsrSpQuHuxiS1BGmTJnA4sW9w12MEWfy5C4WLVo63MWobl1M
  GTEiQ5ckSdJIMqLn6YqIwyPizoi4OyLOWl/XkSRJGg3WS+iKiI2ALwKHAa8Ajo+Il6+Pa21oenp6
  hrsII5L10p71sirrpD3rpT3rpT3rZf1YXy1d+wELMvOezFwOzAGeZz559fFGb896ac96WZV10p71
  0p710p71sn6sr9A1EWiZT557m3WSJEkdacTO0yVJkrQhWS9PL0bE64CZmXl483o6kJk5q2UfH12U
  JEmjxoicMiIiNgbuAg4B7geuB47PzPnr/GKSJEmjwHqZkT4zn42IM4C5lC7Mcw1ckiSpkw3b5KiS
  JEmdZFgG0nfyxKkRcW5E9EbEbS3rxkfE3Ii4KyKuiIhxLdtmRMSCiJgfEYcOT6nXr4iYFBFXR8Qd
  EfGLiPhQs77T62WziPhZRNzc1M0/NOs7ul6gzAUYETdFxGXNa+skYmFE3NrcL9c366yXiHER8e3m
  fd4REa/t9HqJiN2a++Sm5t9lEfEh6yVmNPfIbRFxfkRsus7rJDOrflGC3i+BqcAmwC3Ay2uXY7i+
  gAOAfYDbWtbNAj7WLJ8FfKZZ3hO4mdINvENTbzHc72E91MkEYJ9m+UWU8YAv7/R6ad7rls2/GwM/
  Bfa3XhLgI8B/AJc1r60T+DUwfsA66wW+AbynWR4DjLNe+tXPRsB9wOROrhdKJvk1sGnz+lvASeu6
  ToajpaujJ07NzGuBRwesPgaY3SzPBo5tlo8G5mTmM5m5EFhAqb8NSmYuzcxbmuXHgfnAJDq8XgAy
  88lmcTPKf46P0uH1EhGTgCOBr7Ws7ug6aQSr9l50dL1ExFjgDZn5dYDm/S6jw+tlgD8FfpWZi+ns
  enkMeBrYKiLGAFsAS1jHdTIcocuJU1e1XWb2QgkgwHbN+oF1tYQNvK4iYgdKS+BPga5Or5emG+1m
  YCnQk5nzsF6+AHwUaB2Q2ul1AqU+royIGyLifc26Tq+XHYGHIuLrTVfaVyJiS6yXVu8ELmiWO7Ze
  MvNR4PPAIsr7W5aZV7GO68TJUUemjny6ISJeBFwMfLhp8RpYDx1XL5m5IjP3pbT8vSEiuungeomI
  NwO9Tcvo882X0zF10mL/zHwVpRXw9Ih4Ax18rzTGAK8C/rWpmyeA6VgvAETEJpQWm283qzq2XiJi
  J8qwhanA9pQWrxNYx3UyHKFrCTCl5fWkZl0n642ILoCImAA80KxfQuln77PB1lXTnHsxcF5mXtqs
  7vh66ZOZjwE/BP6Yzq6X/YGjI+LXwIXAwRFxHrC0g+sEgMy8v/n3QeB7lK6OTr5XoPSkLM7Mnzev
  L6GEsE6vlz5HADdm5kPN606ulz8GrsvMRzLzWeC7wOtZx3UyHKHrBmCXiJgaEZsCxwGXDUM5hlPQ
  /7f0y4B3N8snAZe2rD+ueYJiR2AXykSzG6J/B+Zl5tkt6zq6XiJim74nZSJiC+BNlIGbHVsvmfnx
  zJySmTtR/u+4OjNPBL5Ph9YJQERs2bQUExFbAYcCv6CD7xWApltocUTs1qw6BLiDDq+XFsdTfnnp
  08n1chfwuojYPCKCcq/MY13XyTA9JXB48wYXANOHowzD9UXpO78PeIrSd/weYDxwVVMnc4EXt+w/
  g/JUxHzg0OEu/3qqk/2BZylPst4M3NTcIy/p8HrZq6mLm4Fbgb9q1nd0vbS81wNZ+fRiR9cJZexS
  38/PL/r+X+30emne596UX/ZvAb5DeXrReoEtgQeBrVvWdXS9UMaK3gHcRhk0v8m6rhMnR5UkSarA
  gfSSJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCv5/PZcijjiA
  qGYAAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f797db69710>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "scores/DECODA_MINIAE_TANH_TFIDF_H30_DO.shelve
  "
       ]
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd4VEXbwOHfhISe0HtJEAQEBKRJ+yQgCq9IUVBQASui
  vnZQsAdFBRQBxQK+ioAIAjZQFKSEXiJNOqEFEiAQSO/Zfb4/JqSRQIQ1YeG5r2uv3XPO7JzZ2d3n
  zJmdOWtEBKWUUu7Jo7ALoJRS6tJpEFdKKTemQVwppdyYBnGllHJjGsSVUsqNaRBXSik3lq8gbozp
  bozZa4zZb4wZkcv2ssaYH40x240xG4wxjVxfVKWUUjldNIgbYzyAyUA3oDFwnzGmYY5krwJbRaQZ
  8CDwsasLqpRS6nz5aYm3AYJFJEREUoE5QO8caRoBywFEZB/gZ4yp5NKSKqWUOk9+gngN4FiW5dD0
  dVltB+4GMMa0AWoDNV1RQKWUUnlz1Q+bY4ByxpgtwH+BrYDDRXkrpZTKg2c+0oRhW9bn1Exfl0FE
  YoFHzi0bYw4Dh3JmZIzRC7UopdQlEBGT2/r8tMSDgHrGGF9jTFFgALAgawJjTBljjFf64yHAShGJ
  y6MgehPhrbfeKvQyXCk3rQutC62PC98u5KItcRFxGGOeBpakB/2vRGSPMWao3SxTgRuA6cYYJ7AL
  ePRi+SqllLp8+elOQUT+ABrkWDcly+MNObcrpZT69+mMzULi7+9f2EW4YmhdZNK6yE7r4+LMxfpb
  XLozY6Qg96eUUlcDYwxyGT9sKqWUukJpEFdKKTemQVwppdyYBnGllHJj+Rpi6A6cTvDwyHs5JSVz
  nQgUK2bXi4DJ9eeCzHyMuXAapZQqLFdNS7xIEfj1V/tYxC6vX5+5vVs38POD228HX19ITLTre/SA
  lSvzzrdWLRg16l8rtlJKXZarJogDfPghREbCpk12+eBBCAqyQX3vXggPh7VroXZtWLAAjh2zgX7P
  Hjh5ElJT7fO2bbPLAMePw5gxl1cuEYiIuLw8lFIqN1dFED8XfCMiYPTozBb5669DmzYwc6YN7rfe
  CjVqwCOPwLRpNphHRcGRI3bbokVw6hTcdBM884zNo3p1SE6GmJhLL9+cOdCype2aUUopV3LbPvHU
  1Mzuktq1oWpVeOstmD3bbmvUCHbvho4d4d13oWZNG5xLlYJ69WDNGvtcY+Cnn2D/fjh0CEqWhBIl
  4PBhWLbMBv9GjWDHDujQwT4nJsamjYiAypWhShV7y82uXfDRR7Zlv3KlPYh4eNjljh1tmpQUmDXL
  luWBB8DLy55FLFsGDz6Y2X/vdEJgIHTp8q9Vq1LKzbhtEF+1Cu67z3ZVvPKKDaJ+fhASYlvT/frZ
  IP7CCzB4MNx8MwwaBKdP26AfH2+D891329Z7lSr2uQ4H9OplA3vXrjbot28P27dnBvEJE+Djj+Hs
  WbvcpIkN8rkZP94G7YAAmD7d5r9lC8TF2f2Bbal/+KEN0sWK2dc1cSJMngwNG8Itt9h0O3bYM4bw
  cHvwUEoptwnin38OAweCt7dd3r7dBmSAxYttS9zX1wZIb29o184GwkaNbED38ICmTW36pCR736MH
  DB1qg/iwYTbIGgPPPw+//GLTVK0KzZvbfMePhzp14Isvso9W2bnTBuKoKPtD6Jo1NvD6+tqA+8Yb
  0KqVDciVKsGBA/Z5kZFQrpzt7hk1yrbI337b9uOvWZN5YAHYvNnuA+DRR213UMWKdnnGDPvDbV5n
  A0qpq1gBXxNXLhWIvP9+5vLgwXbdudvgwSJOp33ctavIqlX2cUKCyNGjInv3Zs+vWjWRTz+1z1m6
  VCQoyKZ/6CGRyEiRBg3scvv2Inv2iBQrZpebNRMZPVpk504Rf3+77rPPREqUsI+LFhWpUcPe33OP
  SIsWIps22X3ecUf2MgcG2vXlyomcPi2SkiIybVpmvkOGiLz9tk3z3/+KGCPSu7dI9+4i775r18fE
  2LRTp15y1SqlrnDpsTP3uJrXhn/jdqlB3OGwJS1XzgbVZ58VadxYpFOnzIA3cuS5F2uD6sGDNlDn
  pUMHkd9/z1yOiLDPPXHCLv/nPyKdO9tALCJy8812uzEiu3fbdS+8IFKypD0QdO0qcsMNNvhPmybi
  6yvi42PLfPSoTf/99yJNmohUrGjL3by5SHBwZh7nLF4sUrOmyJQpIpUri3TpInL99ZkHsvXrRcqW
  tXXRpIld/+GHmc9/5x1bB599JrJunb0XEUlNta8ra9r8+PprkZUr/9lz1KXZsEFk0iSRLVtEJk50
  ff6hofZzm9WPP4r88MP5aX/+WWTOHNeX4d80f779nmX1wAOZ39n8GD3aNp6yNhov1b59Iu+9d+E0
  M2dmj0W5cfsgHhlpA+Jff4msXi1SqZJI9ep2fXS0yMaN9rGI/ZCmpKVKqiNVwsJE4lPic83z+HGR
  tLTs60JDMx+Hh4vExdkWsojImTMivXrZGotPz3LiRBu4z5UxJcUeDJxOe9+mjU2flGTTOBx2H6Gh
  Nr++fUUefFCkUaPs5XA6RY4dE/njD/v8m26y90WKiHz3nU2zfbvImjX2FhAg8swzmc/39bXpK1YU
  eeklewASEdm1y65v3jzfVS8iIj17Zrb8L0Ve74E63z33iJQpIzJmjEjTpq7Pf/Zs+xk4dChz3X33
  iQwYkLmckpYiyWnJ0rp9vDzxhOvL8G/q3//8z/e5M/X8iIgQ8fLKPFu+XOcabnlxOkXq1LGNygtx
  +yB+4IB9oeeMGCHy5pvZ05xJOCMnY0+KiMhTvz4lZd4vIw6nQ9r+r60EHg7MNd+oxKh/VI7nn7cH
  kHP+/NMG4rwMGWJb4nkJDLSB+T//yX17cLB9h7ZutS38Dh3sYxERh9MhiamJImJbUiBSvrzIwoUi
  xYvb+mrRwrbYS5a0B6xZs2yXTokStpU1dOj5+1y61B5YRESGDxepXDtKfH1tQKlYMTNd/QZO6dw9
  WqKTokVEZNXGaOnV6/z8dobvlIaTG563vls320rp21dkxw677rvv8m61PPaYPasQEfn1V/t6ly+3
  dZxXK2bNGpEnn8x9m4jI5s0i99+f9/atW+0BLKcjR2xdf/RR9vU9eoh4e2d2geXmu+/s5zc3Z8/a
  AN6qlch19dLEs2Ss/PKLbUm2a2e3f/21SMuWNv2rr9r3MausAToxNVEcTke2g+iIESLlqkVJsTJR
  4u1tGyKNGtn3tkoVkfHjRe4YFyB1XrpXeM5PunTJzLNTJ5GTJ0U6dhSJTooWZ9bTRxGZ9l20vPhi
  9vIkJtqzymefzbtOcuN02jPNqH/2FZUGDeznv337zHxAxMPDfla6dLGNKRF7wNywQeTuu+37NmyY
  Tdutm73388t7P4sXizz3nEiaI01ik2PzTPfZZzbvHFWVoXlz+z2tWMkpW3dHZ6w/954tXB4u3pXP
  uH8Q37jRfrDPcTqzV0qaI01qT6gtNcbXEKfTKZ2mdRICkN/2/yY+7/vIqMBREpMUk/GhO3DmgOw9
  vVe83/OWY9HHzvswnuNwOiQmKSZjeeJEkRbtoiXNkZZr+pw+/VSkwY2xkpSalHv+DttqvlCgcTrt
  AcrhcGZ7zdd/fL3cPvN2EbGn3pg06dRvt/j6OaVdO5v3lCn2HS5VyqZ5+WXb1dKggd2vl5c90zh2
  TCQmKVYSE0XuvNN+4NevF/EpmyYer5QVyu/PaJkcOOCUneG7hLqLpcgTraXSmGpyJPKIeL9eR6iw
  T7Zts2c5hw/b2/c75gkByPGIODl1Jlmi4hJk2zab14IF9oDyxRf2Nb34oj3bcTrtWU1WDRva1qmI
  yLhx9vlPPp0iRUpFyZ13ZqYLOxMlwQdTJTZW5JNPzm/NJiVldplNnGgPcufqNTnZ7vfkSXv/yCN2
  P9u2ZT4/JcWWG2yAP3HC5hkTYw+W69fbLrDTp+0Zm8Nh6yEiwp41tm5tv9T79tn1p0+LxMaKnDpl
  369+9zhk+GsxQrPpwuAu4ueX2SocN87mfe5r1LKlyOuvi+w5ECfBB1NlX0ikgMhrr4lExJ+RW7+5
  TQhACECiE2MlOVmk1b1/Ss33G0qND2vKF7+ukxo17Hvg5WU/F7f3ipIST/gLr5YUApDKvhGCZ6K0
  6bFbwCkvvJBengBk8sZPM+otLCZMirzmIyW8kyQ62gZvEXv2DPYgdE5EfETGZ/vIEVsP8TlO1o4d
  s8/bvDn7+uTk7I9TU0XCwuxyfLx9LSEhto5F7LYyZUT+/juzHpcts+UrVcq+xz4+IhMm2LNqPz/7
  nkVG2u1paZln0lmNfMUh1zeOkTk75kiv2b0yyuN0Zi/jO+/YfZ45k/358fH2PS9Txn6m+r64Uiq9
  0VwOHxZZveOwEICs3LVbSr5SR3ix+gWDuFtM9jlzBsqXz1zOei2T8LhwVh9dTdniZRGEg5EH2XJi
  CwGdAvhk0yfEJMew9thafMb48MLiF/hpz0/c8OkNtPuqHbEpsdSZVIeAwIBc9zt502RafdmKhNQE
  AKo23s+R21vz7O/PZuw7p9jkWFIddvZRp07geccwJmyYkGv+Hh52VMy58eK5MQY6T+/MxrANnE44
  hYhw4OwBgs8GE58SD0DdulD01vdY2aQRziYz6XJHFB4ecO+99jIDjz0GnTvbyUytWtkhlJUqO7nt
  zmh69k6j1k17qTimCj0HhXDkCDz3HAwYAD0GHsJZLAqazMkoz7Nzx3DTlObQbwDOKps5nXSCnSf3
  E1vkCB37bWfoE0K95uH4+0Pr1vDJtwcBaNl9F7Ve6kPtoc/xxBP2da1ZYy9/sH27zfvIEXt7/f1T
  PPRQZh2IwJFTEWzd7rD1Hg4tWsDUTdMo/0RfVq+26wBavjuQGx/9lIEDM/PLavBgqFbNjtPfvt2O
  KDp2zJbD19fWU40a9n7FCjuyadGizOcPHw6PPw7+/vDnnzavBx4AHx/7uG1bW+dNmtjhoJ062Yle
  119vR0N5etq67XpnFP7+4Ns4nHvvtc/9+WeI7fgsi8veBb4roc4KfGqG8cILdg7Ep19H4iAFHx9I
  S7Ojor78Ehp/2InrZ3pxw+QboMQZvvoK/D5oxJrDf+GVZr84FUbXpp7/JnYwi9DkvYTFhbLDfEer
  VtD1jnju7h/P+AkOltRvQGLVQChqP/On2AVtPmFT60bc/OKHTJ6cWRdzN61g/35bXz8ErcXhFcON
  t2/m9tvtCCqwddz+tvCM9+Fk3ElqTqjJmYQz/PabHT3WsSPcdlv29ynrZ+KcRYvs++50CieizlKn
  jn0fatSwM7LXr7f17lU2nIREYft2W++Vqwg160Xy0EP2uzBypB115uUTyXezBW9vm+++ffYzEJ0c
  SYnSyRQpHcX48TBkCKQ4UohKisooy+zI5wlu3YtNx7ay7eQ2opKi6NvXfm66doXIxEggcxjy4SNO
  Tsfb4XTx8XYU22+/QbNmkCxxVGzzJ6fNTjreEcptr30KwO1DVpFYJBwSKnEhbhPEK1TIXI5OiiY2
  OZbQmFDaf92e15a/Rr8b+tG+Vnv+u+i/NKnchKGthrLk4BL8yvqxIXQDAJ8GfcqLS17k+37fE5cS
  R4/re/D8zc8zceNEziaezbbP0/Gn+WbbN3h5eDHizxEEHgnkyc1tub/N7czaMYvdp3fjO9GXiIQI
  gs8EEx4XTkRCBEN/HcqDPz/I2cSzOCvuoFS9bawKWZXna3vmGbj//szluJQ44lLiOB57HACnONkX
  sY9tJ7fR6ZtOrApZxY7wHTSo0CAjjbe3UKf3LP7b+r+EtX6Yn8t3JCktiVSv0/z+h5OJE6Fzz3DC
  w21gGTcOHpz8GSEd72SDzzDMfxuTQgJrIr9n7fo0Xh0dwZ+bg+kwaAneHpUxNywA46D5rQf4M3Es
  kzvNhRKRiLFTUD+auwGM0LTrTjZG/EHppztx5Ahs3AhBhw7igSfJzT6FSruJqfEDG/YeoU8fWLQ0
  jgo1olizxg4TPRiSzMHYXYyJa8iPPwmbNsHRo3DiBCQ9W4nlETP49Vc7EatbN3DUXEWE93Juu/sE
  774L69Y7OVVsDdW6T2dPaBh7wkKJST3L/JW7AfslX7zYHsi2bbOBolIle//LL/ZAsHGjDdIbNsC6
  dTYonzpl35vkZPj2W3sA6NzZBuSmTWHpUru9WTN7P2OGHfO/aZM9UP35p51vsG6d/eK++N5eIh6s
  zuK/9pEw5DrW7DyMo9we1m47zbq4bwlJ2Qz1f+Pmah1oMfx1ho86zpAXw2g1aghv/PQ/EiqsY+Gm
  HSQn24ZEmcox1C17Pc6QDtS5fyLzfokjjnCSTSRpE/ZRNrIzaV6RHCvzHY56C2lapSmtq7fm+11z
  +GjaIeJ69uTkrT0IrfQ1xulFY3M3AJ7GEyrv5LqWh3mh7QvsqfguYhxUrGT/nWt/xEHGjLHfz8m/
  rMXDUYL6XdeycSP89Zd9vT/8HsHGDrU5bXZxOsLBW3PnkZSWxIKt69m7F+4dHMme4EQOnDzJzl0O
  IhLs9Sm2bwdKnWLTJjunIjwcxn/kZNeRU3z46wKu/6Qux+PCWL/ezt/48087pPjeAak0m3Ij5Rpv
  4rffICEBHK0nUH5ceaZNg6dGhrFli52wFzW0POUffpgbWpylalX7nlWpKtzyzS3UmVSH5Ac6MPfH
  JIKCYPq26Tzx6xMcPXOKTfuOcrTsLEzV7Szc8wdHo49S9cOq/L4+hJVrUlgTOZfy48qzL2Ife+LW
  gs8xJv/5C7dP70F8vD1Ynz0L33xjPzO95/Rmyt7R4JFGWP9a1PD/DU41otYdc2hZuxHewY9dMD66
  xTjxnEG85+yerD66mkolK3E64TSHIg/xXpf3uLHKjUzaOImpPadStXRVOvt1pmLJimw9uZWKJSvS
  oEID9p/ZT5+GfRjZcSQP3PgADSo24HDUYSasn8A9je+hXPFynE08y2MLH6O6d3Wm9Z5Gg8kNWHJo
  CVN7TqVfo34Enw3mxcUvkuxIJvBIIAN/HEhNn5qExoRSxKMIZYuXpeHkhsSlxJHiSMG7mDeHIg9x
  XbnrABuYQ2NCqV2mNtFJ0RhjiE+Jp5p3NQb+OJBf9v1CCc8SfNf3O8oVL0eyI5kVR1awN2Ivf4f/
  TVRSFD2u78HkoMmsObqGTWGb8PTw5L1b3yMxNZGjMUf5eOPHfLT+I97p/A7VvKux8Po+jPcPRTzK
  Ex4Xyawds9gTtwnvm48wtN3LrPmjCns7fchzy/aw5ugaTsadJC4ljj7XDeQ354+kdhvG9rYfU/pE
  D1qW6k35I4/RpNN+e1CJWgtl4KRzJ80GHeZv537iU+IJK7KF8o22Ys725UStmTzqO4ZjUSdY9XxL
  GnkH8VPR4Xj2/B3/nYkMfUIIaXcPVNoFxSIZMeo0XbtWpnRpaN1jF9QEv+vSeGL4ScKCK/DtjxF4
  e62ibpVmNGmxiHXf3EnXF/5E2pWlzvWVCWzdi+DKO+CRutyzfD9fROzm5UcaMGqUPTBs3mxbb888
  Y4NwVBQ8/XoIfmV96d8fql8XjU8FL0yZs5zZXhOwLcEKFewXsE4d26I7N2HM19fOrgV7ltGsmW3Z
  DXo4idjym7ixeTucpU5TpmxVJq2cQ1JaEm+vehu8Eojt3xZTIoaYTU9ya/W2dLu+K1/8Echvg2bQ
  d+7dDJg/gI1hG/Ep5sPqo6tx9PNg8NI0qjzwGOF1PyDGw3DsySjqTd9LRI97iSrT1hYkrioSX5G7
  /B4hNLo7K9uNonzRyrza8VWKexZn/5n9tPuqHfXK16N+hfrM+Psb+pf9iI8eu4fms6rQsGxzVlXb
  Qlqpk3TyHcKi4EV0C9hJU9/aPLbfcDIhlPUhQYwb14qXDv/Jzckj2JDyJY+9egffftSYO++Eej3W
  4SAFHm/CwI+msDJ6DiatNa99sQ5Z5U/yw605Ns8PeeA0j865DQ+/tXzd62tmbd8GL93P2EkHSEjy
  Y8fB04TWmYp3+6/5ZnMbxFmS/3v2K3r6vElKCjz7rD2w1vZfzumFp6l6wyJ+W9oQKMMJv48A2H5y
  Oy2+bc77YxIoUzGRp0KgXL1ggmt15qznd0BjPKvv5GziWW6rexsrwqPZXOZ1zJ5hbDy2mfWh6/Gd
  XIUSR/pQPLEvdX2LsTN2MhVLVuRMwhlaPjCXat7VWFXsZaKd0GNGX8IqRVF5aH3mbGhOUtMtjHgj
  juBdpalz40lWrqzK0KGwIS6WKqWq0LhyY5YfXs7BmD10qDKMtWnjeajyQ6RGPM12nskzPl7xQXzW
  LFi4MHuXQzFPOw/9dII9PfH08KR1jdaU9CpJn4Z9MtINazeM2JRYSniV4GziWV5o+wKhMaEYY3i7
  89vZ0r22/DU+/+tzAAShaJGibHh0A0U8inBXw7v4ed/P9G7QG4DmVZszdu1YGldqzKiVo+jTsA9r
  j60l1ZlK2eJlWXjfQubvno+I8O2Ob+l6XVfa/q8tQUOCKOJRhOAzwTy28DECHwzk4V8eZtnhZXa/
  bwlHo4/SoloL+t3Qj0kbJxF4JBCAebvnAbDz1E6ikqPoVb8XKY4U/m/a/9H1uq7MvGsmPsV8+Kr3
  V8zfPZ975t1Dy2otmbPLBozaZWrj0WQeEzckMnbtWHyK+TD+9vHcVPUmOvl1gm4wbm0Ka4+tJT4l
  njvr30mTSk249bpbOZl8gA1NZ/HfRm8z5buOzChmaH70S4a0mkOFEhVYemgp7au0Z+WRlZgShpqe
  NZm6eSqjV4+mZd2WzLxrEmPWVOOlDgOp7l2dLtO38+6RulCvOGkmiYlfh/LcN9MICVsHJc8A0KD7
  MtocLMe6H1qwIOYtAO56IIJJ1W6Djf68c3gNnRo2o3vd7mw+sZbo/3xJmaNCpf1P8+P7j1E2pBwY
  AZ8w2PIYz+0Zz4D+H/H886UZ+79gvpniTXW/UvQZGE/PO4pStlIiEQ1bsXrgCmpUbsKuOk/QYspW
  QiJDuTluO3//XZf33rOBe9gwOzt40CB7lgD2NL1XL4hKiiLFkUL5Frvxq5FGYvtF+E+fwH+aT+V4
  q8f5fud3zNk5h2HthjF+/Xj75JJnaHdiFuvaDeCWOqN4qcNwXuowHIAZd83Ab6IfgmS0UivvnUj9
  ku0Ia/gahHSgeuMwShUtRauaLTjm1Y5ec3pSOrk+cZsGUqQIDG03kJtvhuZffEfjyo3p36Q/AA6n
  g6PRR3m+7fPULV832/fuyVZP0rTCzazaNoykol7UKlOLDrU64FHsG7xrtcPvRH2OzB9F8iODKPN/
  I/E4Ecdj9d/gSJ1UJsW3pV7zA9zpXwVnl7VUO9OLhXt+Z0PoBjzr7aNh0AK2178XWoVQyiOK5YeX
  I0WEM/GnKR4eTZsvbybJpyXFjTdJtdcw5cRoUlp9Q2mv0pSgAgcSl1J536uU6vo3Lz0OCxcKXpVC
  eGdqHMNXBtD1uq4s5W1OJh2hattHiCqSTHXv6qw5aq+14dn+U2pVbEgXjy4sHbSU4UuG02P+LXi1
  +ojNZecytOVQ3uz0JvO8IrjX2RTT8iu+3haTceaZTByDfEcx8E4/+kyN5oE72jB7fhwx7efQon4r
  3q48ko8X/cHB2N8pv2Eaxbq/T8VSCYSmFGfGsk0UCW9J/FN1KJG4ip49W/Hk5P0cePYAKw6v4EjU
  EQ5FHmLCo/15dfl27mp4F8cvMonviv6j5LQ029f4/PO2y6FJE7u+39x+7Duzj/IlyuNTzIdmVZox
  usvoPPNZcXgFEQkR3NP4ngvub8XhFew4tYPmVZsTfCaYR1vYjr2/w/9mQ+gGHm/5OAB7I/Yyb9c8
  ihYpyshlI1k2eBlhMWEYYzgZd5Lh7e0X8ODZg8zfPZ8RHUcwculI5u2eR2JqIsPbD2fYkmEU9yyO
  U5y0qNaCDaEbWP/oem6dcStnXj5Dcc/its5G2c7/nvV7UrtMbRYfXExUUhRBQ4KYt2set153Ky2q
  tcj2OhJTE3ll2SsE+AfY08K0ZH649weG/joU72LeNKvSjKfbPE37Wu1zrYfp26bTuHJjWlVvBcDs
  HbPZsbEi7zx8G+PHw4gRcM89MHcuLNy3kF5zevFS+5e4sfKNlCpaivm757P5xGbuvP5Oxncbf17+
  Sw4u4a7Z/UhwxOJhPGhapSlpDgf9ik0hIDSzTE0qtCQyIYr4pFT6+g7lqEcgm4/t4myEB1WrOQkd
  dpSdp3bSZUYXPD082XhvGMH7PLntNjBPNoPI63iu5210rN6V51cOon6tinzScxwtprQg5XAb6pW+
  iSL1l7DvzL6MfX7e43MGNR1EtfHViE2JpVGZmzl2xJO+sStJSBBGjjvAwY0N6dHDXmPnVFwENVpt
  4X+vduXmO/Yz6+9Z/Bb8GwfPHKZc0SqExO+jW91ubDwWRFTKWfz9/AmJCmHnUzup8mEVJKk0ElOD
  Z4r9xYyD41j+eS8aVmyYUR4RocyYMsSmxFK1dFVOxp2kxV9B7FzSivnzYV/Efqj/K8M7vMj69VC2
  Qiqt5pelfuq9HJ4wjc8+s++VlxfM3z0fn2I+3F739gt+D85JdaRR9I3yUCyW0y+dZkf4DsauHcvi
  g4tpVqU5w0ptZX+NNwg6HkQjxwO8cscgKlWCQT8NIvZUBR5ucw9vbfwvH//nY8Z+eYhFHo9ze7X7
  qL97OpM3fwQ1NvJyjwGMC7mb3g16s/Or5/D6z0i84vzocOJ7fO/9hF//Xk1Q9G+kSAKNKzXm8QZv
  8fbrJYk9W5qbhr/Kgvt/4vc9K3jotwFUKFGB+2+8nzc7vUmrkSMJKTcNPJz4lqpP9XIVqO5dnb0R
  e4lOjqZokaI83PxhXr/ldQD+OPAHd42bSMv61Vj2/BcU8yyGwwGv/W85q5M+Z13UfEgrStmQB/nh
  oak0amRnSI8ZA++/DxUqOUh6qiapjlQWD1zMJ+u+ZPquKfBxMCVfbI5THHSt+DAeCdXwK1ebT489
  Sjufe/jsvle5/dvbOTHMtgYmbZjEsCXDSHo9CU8P28Z+8EGYMSPvP0rO76iS7sBeYD8wIpftFYDf
  gW3ADuChPPI5/2feC9i1S6RevfPXd5neRZYeXCq/B/8ufwT/8Y/ydKWDZw/Ke6suMpI/3Z7Te4QA
  xPNtT6k3TS1aAAAayUlEQVQ7qa6YACOeb3tKyXdLSkpaitSeUFu83vaSEX9mH3/2w+4fZP6u+SIi
  EpMUI/3m9pMZ22bku4yDfxosLaa0EBGRD9Z+IEMWDMn36JrcpKbaX9sHDrTLYTFhctecu2T5oeUZ
  ab7e8rUQQEa5c/P6gslCAPLwz48IAWS8j7U+qpUxoiIuOU5KvVtKRv45UmZunykEIAPnPCEevmtk
  2pbpImJHJg38caB8teWrbPnTfJq06LElYzkpNUkG/zRYir5TNCN/ApD+8/pLx3GPZiwP/HGgjPxz
  pPSf119Grxwt67ZFSIknO0mNe8fKkJlvS9F3isrXW76WebvmydGoo3LzlzeLx6tl5K15s6XSuEpS
  dkxZIQB55OdHJDwuXF5b9ppM2zpNCECGLx4uBCDvr7azSCZtmCSPjJ8rrR6dIZ9/LtKnT+511fZ/
  bWXwT4Nlyl9T5KUlL0nfe1IE7CiM3HT+prP0/+JNadbsgm9lvngN7ikEkG0E17m6ysvWE1ul1+xe
  UvXDqlJ9fHVJc6TJjJWrhQBkwsov5csv7TBAEPl1RbgQgOw+tVsmTBCp3m2WlGu6TtavFwk+EyxF
  3ykqd39/t3SZ3kUeX/C4OBwinp4ivk1CpeK4itLksyZS9J2ict2k6+TnPZnjLTt2FKHjezJx/URZ
  tH+R3DvvXik/trxMXD8x4/3YF7EvW7nbthVZtOj815OUmiTDFg+XYs+0kp6jJ523vWlTO+T5m63f
  yAM/PCApaSkyeuVo8X7XR8ApJUaXkGofVpOf9vwk3b/tLvfOu1feWfmOdP6ms3i/5y0DfxyYkdfC
  fQul1ke1suX/0ktyeUMMsT9+HgB8Aa/0QN0wR5q3gPfTH1cEzgCeueSV5xufm+++y30cdvMvmsvm
  45vP33CFG7N6jHyw9gMhABnx5wiZvWO2fLD2AxGxBybfCb4u3+fm45tl1t+zXJon2PG2eXE4HRKw
  IuCC4/BXHAqUYm8Xl9+DfxcTYDLSfrLxE/lh9w/yzdZvRERk6l9T5UjkEVl8YLEQgHwe9Lls2ZJn
  thmCg88fY+x0OqXex/XEBBgxAUZe/PU1OZtwVpKSRHzeLSc1xteQ2hNqS+n3SsvxmOMiYoeBedc6
  LLxcUSqOrSSfB30ufb/vK91mdpNS75aSrjO6yps/T5Wa42tmBDcTYLIdVILCgoQA5Fj0MXl92euS
  kpY5fjIqys4ujo628yFy8+32b2VH+I6M5X377Fj5vPy05ydZc3hDxvj7y+Hb5LgMnpp96uLSg0tl
  7s65F33uxtCNGZ+94zHHM4J1bGzmRLaDB0XeWP6GpDpSJSnJzrhcvDhz2Oesv2fJxtCN8vOen2Xd
  UTtRYNUqkY2bHFJ8dPGM4cQL9i7Itu/jx7NP3jt3AF24b6HEJMXImNVjzivvrl3ZhwfmNGbx17Ij
  bP956w8dshMDs5qxbYbc9MVN8tdfItdNuk46ft1RwuPCpcz7ZaTah9XkwJkDkuZIk9eWvSan4k5l
  PO90/Gn5aF32CQh2eOTlBfG2wO9ZlkfmbI0DQ4HJ6Y/rAPvzyCvvGsrC6bTjhStVyn2mYO0JteVw
  5OF85XWlcTgd8u6qd8+bxThkwRC5/4cLzDy5gpQvn9kSv1RxyXHywdoPJC45LqNleiFbT2wVApDV
  Iasva7/zd82Xp397Wq7/+Pps61tNbSUP/vSglBtTThp/2jhj/bkzj6q3LMx21ud0OmXM6jESGh0q
  0UnR8viCx2X44uHi9baXTFg/IWPimYhtyb276jKmvBaidu3sdYUul9PplFGBo8ThtDNtUlPtWO6c
  we+fmLRhkpyKOyVjVo/JmHSWl9Uhq2XwT4MlPC780nf4DxyJPJLREOnwVQd56OeHRETEb6LfeWc2
  +XG5QbwvMDXL8kDg4xxpPIAVwHEgBvhPHnnlq8CrV9tZZLt25T7Q3vs974u+ae5m5ZGVlx2gCkp8
  /IVbLP+GsJgwIQCJTIx0SV7nvmDnDJg/QN5Y/obcMesOeXzB49m2gZ0UcjHxKfEyYf2Eyy7flSQq
  Ku/Zhq7I+1rQb24/eWflOyIicujsIZm5feY/zuNCQdxVo1NeAbaLSGdjTF3gT2NMUxGJy5kwICAg
  47G/vz/+/v7nZTZ9uu3Mb9To/B2lOlJJSE3Au6i3i4p+ZbjF95bCLkK+lSxZ8PusUqoKk7pPomzx
  spedV3Xv6jzY/MFs6x5v8TjlS5TH38+fMsXKnPecIUMunm9Jr5I83/b5yy7flaTM+VXhFnlfSYa0
  GEJNHztMtU65OtQpV+eizwkMDCQwMDBf+V90dIoxpi0QICLd05dHYo8KY7OkWQS8KyJr05eXYbtc
  /sqRl1xsf4mJdgbWjh32PqdT8ado/FljTr90Oj+vTyml3J4xeY9Oyc+MzSCgnjHG1xhTFBgALMiR
  Zg/QNX1nVYD6wKFLKeyqVXYoYW4BfOuJrYxdM5byJcqfv1Eppa5BF+1OERGHMeZpYAk26H8lInuM
  MUPtZpkKvA9MM8ZsBwzwsoiczTvXvG3bZqdF52bcunGkOlJ585Y3LyVrpZS66lxxk33uv99eF+PB
  B8/fVntCbZYNXsb1Fa7/l0qolFJXnsvtTilQ27dnXkgoq8ORh0lKS6Je+XoFXyillLpCXVFBPDER
  Dh2yo1LOJJzh27+/zdj28tKXeazFYxiT+8xTpZS6Fl1RQXzXLqhfH4oWhV/3/8pbgfbCRwmpCSwK
  XpRxnQOllFLWFRXEs3alrD22lpCoEFIdqQSFBXFj5Rsp6VUIA5SVUuoKdkUE8bfftv9s8txzdmSK
  w+nIuATr0eijrDm6Js8r7iml1LWs0K8nnpwMkybBsmX20o5VqsBHGyZQtXRVavjU4GDkQX7e9zPv
  3/p+YRdVKaWuOIXeEl+xwv6Q2by5bY0fijrA2LVjmd5nOvXL1+e3/b9xLPoYnf06F3ZRlVLqilOo
  QfzMGftfhjffnLluxvYZDG46mDrl6tClThcmB03mnkb3UMSjSOEVVCmlrlCFGsT797f94U2bCi/8
  8QIxyTHM3TWXAU0GAHBn/Tsp4VkiY1kppVR2hdYnPnu2/fdxEfD0/YuJgROpWroqp+JP0bJ6SwBK
  FS3FoecOUblU5cIqplJKXdEKJYgHB9t/GZ8+HU6fhi1J82hcqTEjl43kjuvvwMNkniBoAFdKqbwV
  SnfKt9/C4MHQrx88+SRsDd/MmK5jALih4g2FUSSllHJLhdISX73a/mP6OTtP7eSmqjeR+FoiRYz+
  gKmUUvlV4EFcJPvMzFPxp0hxpFDdu7peF0Uppf6hAu9OCQsDT0+oWhXSnGncMesObqp6kwZwpZS6
  BAUexPfsgcaN7ePlh5djjOHX+38t6GIopdRVocCDeEIClC5tH/+w+wcGNB6gF7ZSSqlLVOBBPC3N
  dqcArDq6ii51uhR0EZRS6qpRaEH8TMIZwmLCuLHKjQVdBKWUumoUShD38HTw7d/f0rF2Rzw9Cv1C
  ikop5bYKPIKmpcHWak/z/eIv2P3U7oLevVJKXVUKpSWe5HmCH+/9kRsq6exMpZS6HIUSxFOLRFG2
  eNmC3rVSSl118hXEjTHdjTF7jTH7jTEjctk+3Biz1RizxRizwxiTZozJNUqnpUGKhwZxpZRyhYsG
  cWOMBzAZ6AY0Bu4zxjTMmkZEPhSRm0SkBfAKECgiUbnlp0FcKaVcJz8t8TZAsIiEiEgqMAfofYH0
  9wGz89pog3i0BnGllHKB/ATxGsCxLMuh6evOY4wpAXQHfsgrs5RUJynE4lPM55+UUymlVC5cPcSw
  J7Amr64UgN+XvIqHswjv8A7+/v74+/u7uAhKKeXeAgMDCQwMzFdaIyIXTmBMWyBARLqnL48ERETG
  5pL2R2CuiMzJIy957q0jfMMtRAWE5KuASil1rTPGICK5Xuo1P90pQUA9Y4yvMaYoMABYkMtOygCd
  gF8ulFl8WhTFcx+4opRS6h+6aHeKiDiMMU8DS7BB/ysR2WOMGWo3y9T0pH2AxSKSeKH84p1RlNAg
  rpRSLpGvPnER+QNokGPdlBzL04HpF8sryRFHcVP6n5RRKaVUHgp8xmaqMw1PD6+C3q1SSl2VCn7a
  vSNNr1yolFIuUigt8SJGg7hSSrlCwbfEndoSV0opV9EgrpRSbkyDuFJKuTEN4kop5cYKPIg7nGl4
  FtEgrpRSrlDwLXFJw0tb4kop5RKF052iLXGllHKJgu9O0Za4Ukq5TKH0iXt5ahBXSilX0Ja4Ukq5
  scIJ4tonrpRSLlHwQZw0imp3ilJKuUShtMQ9ixQp6N0qpdRVqcCDuFO7U5RSymW0O0UppdxYwbfE
  SaOotsSVUsolCiWI6zhxpZRyjULpE9fuFKWUco3C6U7RIK6UUi5RKEG8mAZxpZRyiXwFcWNMd2PM
  XmPMfmPMiDzS+BtjthpjdhpjVuSVl9OkUcxLg7hSSrnCRaOpMcYDmAzcChwHgowxv4jI3ixpygCf
  AreLSJgxpmJe+QlpFNUgrpRSLpGflngbIFhEQkQkFZgD9M6R5n7gBxEJAxCRiLwycxrtE1dKKVfJ
  TxCvARzLshyavi6r+kB5Y8wKY0yQMWZQnrkZnbGplFKu4qpo6gm0ALoApYD1xpj1InIgZ0Ln3/uY
  +/l3bKu4EX9/f/z9/V1UBKWUujoEBgYSGBiYr7T5CeJhQO0syzXT12UVCkSISBKQZIxZBTQDzgvi
  5iZfHnruEW6/vnO+CqiUUteanA3cUaNG5Zk2P90pQUA9Y4yvMaYoMABYkCPNL0BHY0wRY0xJ4GZg
  T26ZiYdOu1dKKVe5aDQVEYcx5mlgCTbofyUie4wxQ+1mmSoie40xi4G/AQcwVUR255qh0T9KVkop
  V8lXNBWRP4AGOdZNybH8IfDhRTPTlrhSSrlMgc/YxENHpyillKsUShD31D9KVkoplyj4IF5Eg7hS
  SrmKtsSVUsqNaRBXSik3pkFcKaXcmAZxpZRyYxrElVLKjWkQV0opN6ZBXCml3FjBB3HjwMMU/G6V
  UupqVAhB3EkRjyIFvlullLoaFUoQ15a4Ukq5hgZxpZRyYxrElVLKjRVCEBcMpsB3q5RSV6OCD+Ji
  MEaDuFJKuUIhBHHtSlFKKVfRIK6UUm5Mg7hSSrmxAo+ophCOG0opdbXSlrhSSrkxDeJKKeXG8hVR
  jTHdjTF7jTH7jTEjctneyRgTZYzZkn57Pc+8tDtFKaVc5qLXhDXGeACTgVuB40CQMeYXEdmbI+kq
  Eel10T1qS1wppVwmPxG1DRAsIiEikgrMAXrnki5fM3i0Ja6UUq6Tn4haAziWZTk0fV1O7Ywx24wx
  vxljGuWZm7bElVLKZVz1FzubgdoikmCM+Q/wM1A/t4TO1QkEBAQA4O/vj7+/v4uKoJRSV4fAwEAC
  AwPzldaIyIUTGNMWCBCR7unLIwERkbEXeM5hoKWInM2xXjxHVCN1zPF8FU4ppRQYYxCRXLus89O3
  EQTUM8b4GmOKAgOABTl2UCXL4zbYg8NZcqPdKUop5TIX7U4REYcx5mlgCTbofyUie4wxQ+1mmQr0
  M8Y8CaQCiUD/vPLTy9AqpZTrXLQ7xaU7M0a8Xq5NytiQAtunUkq5u8vtTnFtYbQ7RSmlXKYQIqoG
  caWUchW9iqFSSrkx7U5RSik3pt0pSinlxrQ7RSml3Jh2pyillBvTlrhSSrkx7RNXSik3pi1xpZRy
  Y9onrpRSbkxb4kop5cY0iCullBvTIK6UUm5Mg7hSSrkxHWKolFJuTFviSinlxjSIK6WUG9MgrpRS
  bqzAI6qHBnGllHIZbYkrpZQb0yCulFJuTIO4Ukq5sXxFVGNMd2PMXmPMfmPMiAuka22MSTXG3H2B
  NJdSTqWUUrm4aBA3xngAk4FuQGPgPmNMwzzSjQEWXzA/bYkrpZTL5CeitgGCRSRERFKBOUDvXNI9
  A8wHTl0oMw3iSinlOvmJqDWAY1mWQ9PXZTDGVAf6iMjnwAX7SzSIK6WU63i6KJ+JQNa+8jwDefS6
  PQQEBADg7++Pv7+/i4qglFJXh8DAQAIDA/OV1ojIhRMY0xYIEJHu6csjARGRsVnSHDr3EKgIxAOP
  i8iCHHmJ3/D+HP5gTj5filJKKWMMIpJr4zg/LfEgoJ4xxhc4AQwA7suaQESuy7KzacDCnAE8Y7t2
  pyillMtcNIiLiMMY8zSwBNuH/pWI7DHGDLWbZWrOp1woPw3iSinlOvnqExeRP4AGOdZNySPtIxfK
  y8NoEFdKKVfRGZtKKeXGCj6Ia0tcKaVcRi9Fq5RSbky7U5RSyo1pd4pSSrkx7U5RSik3VvBBXFvi
  SinlMtonrpRSbkxb4kop5ca0Ja6UUm5MW+JKKeXGroiWuJ+fH8aYq+Lm5+dX0FWqlLqGuepPIfIt
  t5Z4SEgIF7uuubvQP4JWShUk7U5RSik3pjM2lVLKjWlLXCml3Fgh/LCpfcZKKeUq2hJXSik3pkE8
  HyIjI7nrrrsoXbo0derUYfbs2YVdJKWUAgphiKE7jsB76qmnKF68OKdPn2bLli306NGD5s2bc8MN
  NxR20ZRS17gCbxYLaQW9y8uSkJDAjz/+yOjRoylRogQdOnSgd+/ezJw5s7CLppRSBR/Enca9gvj+
  /fvx8vKibt26GeuaNWvGrl27CrFUSillFXh3ipjUS3qeK7phLmVSaFxcHD4+PtnW+fj4EBsbe/kF
  Ukqpy5SvlrgxprsxZq8xZr8xZkQu23sZY7YbY7YaY/4yxnTJKy/nJXaniFz+7VKULl2amJiYbOui
  o6Px9va+tAyVUsqFLhrEjZ1iORnoBjQG7jPGNMyRbKmINBORm4CHgal55ee8xJZ4Yalfvz5paWkc
  PHgwY9327dtp3LhxIZZKKaWs/LTE2wDBIhIiIqnAHKB31gQikpBlsTQQkVdml9oSLywlS5bk7rvv
  5s033yQhIYE1a9awcOFCBg0aVNhFU0qpfAXxGsCxLMuh6euyMcb0McbsARYBz+aVmbu1xAE+/fRT
  EhISqFy5MgMHDuSLL77Q4YVKqSuCy37YFJGfgZ+NMR2BmUCD3NIdWxZEQEoAAP7+/vj7+7uqCP+a
  cuXK8dNPPxV2MZRS14jAwEACAwPzldZc7Drexpi2QICIdE9fHgmIiIy9wHMOAm1E5EyO9dLy3fv5
  69VZOdNfVdcTv1pei1LqypAeV3Ido5ef7pQgoJ4xxtcYUxQYACzIsYO6WR63AMgZwM9xuGF3ilJK
  Xaku2p0iIg5jzNPAEmzQ/0pE9hhjhtrNMhXoa4wZDKQA8UD/vPJztx82lVLqSpavPnER+YMcfdwi
  MiXL43HAuPzk5URb4kop5SoFP+1eW+JKKeUyBR7Ei3voTEellHKVAg/iD5b9X0HvUimlrloFHsRL
  FvG5eCKllFL5UvD/7ON+f+yjlFJXrIL/o2Q3/GefTz/9lNatW1O8eHEeeeSRwi6OUkplKPDriXt5
  FfQeL1+NGjV44403WLx4MYmJiYVdHKWUylDgQbxv34Le4+Xr06cPAEFBQYSFhRVyaZRSKlOBd6eU
  KFHQe1RKqatXgbfEL5UZdfmd6fKWXphKKXV1cZsgrgFYKaXOpwP+lFLKjWkQzweHw0FSUhIOh4O0
  tDSSk5NxOByFXSyllNIgnh+jR4+mZMmSjB07llmzZlGyZEnefffdwi6WUkpd/J99XLozYyS3/V1N
  /4ZzNb0WpdSV4XL/2UcppdQVSoO4Ukq5MQ3iSinlxjSIK6WUG9MgrpRSbkyDuFJKubErYtq9r68v
  xh0vNJ4LX1/fwi6CUuoakq9x4saY7sBEbMv9KxEZm2P7/cCI9MVY4EkR2ZFLPrmOE1dKKZW3yxon
  bozxACYD3YDGwH3GmIY5kh0CbhGRZsBo4MvLK/LVLzAwsLCLcMXQusikdZGd1sfF5adPvA0QLCIh
  IpIKzAF6Z00gIhtEJDp9cQNQw7XFvProhzOT1kUmrYvstD4uLj9BvAZwLMtyKBcO0o8Bv19OoZRS
  SuWPS3/YNMZ0Bh4GOroyX6WUUrm76A+bxpi2QICIdE9fHglILj9uNgV+ALqLyME88tJfNZVS6hLk
  9cNmflriQUA9Y4wvcAIYANyXNYExpjY2gA/KK4BfqBBKKaUuzUWDuIg4jDFPA0vIHGK4xxgz1G6W
  qcAbQHngM2MHfKeKSJt/s+BKKaUK+HriSimlXKvApt0bY7obY/YaY/YbY0Zc/BnuzRjzlTEm3Bjz
  d5Z15YwxS4wx+4wxi40xZbJse8UYE2yM2WOMub1wSv3vMMbUNMYsN8bsMsbsMMY8m77+mqsPY0wx
  Y8xGY8zW9Pp4L339NVcXYOehGGO2GGMWpC9fk/VwWUTkX79hDxYHAF/AC9gGNCyIfRfWDTtCpznw
  d5Z1Y4GX0x+PAMakP24EbMV2b/ml15Up7NfgwrqoCjRPf1wa2Ac0vIbro2T6fRHsvIoO13BdvAB8
  CyxIX74m6+FybgXVEr/ohKGrjYisASJzrO4NTE9/PB3ok/64FzBHRNJE5AgQjK2zq4KInBSRbemP
  44A9QE2u3fpISH9YDNvAieQarAtjTE3gDuB/WVZfc/VwuQoqiP/TCUNXq8oiEg42sAGV09fnrJ8w
  rtL6Mcb4Yc9QNgBVrsX6SO9C2AqcBAJFZDfXZl1MAF4Csv4wdy3Ww2XRS9EWrmvqV2VjTGlgPvBc
  eos85+u/JupDRJwichP2bOT/jDH+XGN1YYzpAYSnn6FdaOjxVV0PrlBQQTwMqJ1luWb6umtNuDGm
  CoAxpipwKn19GFArS7qrrn6MMZ7YAD5TRH5JX33N1geAiMQAi4BWXHt10QHoZYw5BMwGuhhjZgIn
  r7F6uGwFFcQzJgwZY4piJwwtKKB9FyZD9lbGAuCh9McPAr9kWT/AGFPUGFMHqAdsKqhCFpCvgd0i
  MinLumuuPowxFc+NuDDGlABuw/5gd03VhYi8KiK1ReQ6bDxYLiKDgIVcQ/XgEgX1CyrQHTsqIRgY
  Wdi/6BbA6/0OOA4kA0ex15QpByxNr4clQNks6V/B/uK+B7i9sMvv4rroADiwo5K2AlvSPw/lr7X6
  AG5Mf/1bge3A8PT111xdZHl9ncgcnXLN1sOl3nSyj1JKuTH9YVMppdyYBnGllHJjGsSVUsqNaRBX
  Sik3pkFcKaXcmAZxpZRyYxrElVLKjWkQV0opN/b/tiaExisK9ZQAAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f79601f2210>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAJZCAYAAACTE4A9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzs3XmYXVWd7//3NwQElSFMVZAJRUa1FQewBbQABRkEWmnE
  9oqKgDYOaHsVQt8rsdsWo00rV+XXijSkEUwDDqCtzFS3QzMoCGICBDEDgSrmAIISku/vj7VDTiqn
  UpVpVVXq/XqeerLPHtfeteucz1lr7ZXITCRJkrRujRnqAkiSJI0Ghi5JkqQKDF2SJEkVGLokSZIq
  MHRJkiRVYOiSJEmqwNAlSZJUgaFLkjQsRcSSiHhp7W1Xss/3RcTPVnPbN0fE/LVZHo08hi6NeBHx
  hoj4eTO9JCKejIgnIuKhiLg6Io7us353RDzTrLP057KW5ZtGxFcjYm6zbHZE/EtEbNmyzvsj4vaI
  +GNE3B8RZ0fE5i3LT4+IZyNiYfNzZ0R8LSI625R/h4hYHBHfWIVzXhIRPRExpmXe2Ih4MCIWt8y7
  PiKOa6bf3Gz39T77+llEHNtMt/1Qaa7ZoxGxYZ/550XEn1uu45MRcetKyr1Py+/nqaY8T7TMm9Cy
  7vkRsSgiOvrsY2qz3VEt8zZo5k1qKdc/9NlucrNOv+97EfGTlrI825zb0tdnt1zDFe6d5nd+Qcu+
  VvVeXLruXv2Vr2W/L+0zr++xr2vuhYURMTMiTuiz/t9ExJzmmN+PiC1Wdsw+ZV0YEY9HxM0RcUpE
  bNRnvd0j4rJmnYURcW1E/OVA++/Hmozeva5G/h6OZdIIYejSkIuIWMNdHAr8Z8vrv8jMzYBdgOnA
  1yPi/7YsT+CkzNys5eeIpiwbAtcBuwEHNvv5S+BhYM9mnU8BZwCfAjYD3gBMBq6OiLEtx5mRmZsD
  WwJ/BXQCv+4bIoBjgTuAd/UNNQN4DDi45fXBwKMDbPNH4L1Lw0k/lvtgiIjJlHN/EDi8zfrTWq7j
  ppm5R787zvx5s85mwMubY22+dF5m3tcc84XAO4CZwP9qU75HgM/1uXcG84G20nUy85CW8l3YnNvS
  sp3UrHZfu3unzf6TVbsXlx7nxtU8h9b5JwPjm/vv/cDXImIXgIh4OfCvwHuADuAZ4P8b4JitZd0c
  2I5y/x8D/GTpChGxI/Bz4DZgB2B74IfAVQOFyX6syXvDmr6vSGudoUuD0nyjva/5Jj4rIvaLiDER
  cVpE3NN8o705IsY3678xIm6KiMci4sbWb7pRal8+HxE/j4g/Ai+JiM0i4twotUbzI+Ifl36gRsSO
  zbfsx5tv79/tU7xDaHnjp3mzzcxHM/M7wN8Cp0XEuL7rtPE+YAJwZGbe1ezn4cz8QmZeERGbAlOB
  j2bm1Zm5ODPnAUdTPmT6BgSadWYB7wIeonxYtTq22ecjwNv7KVc7FzTlbd3P9AG2eRw4vzneYB0L
  XA38O+UDfG1r97t4J/AHYFo/x7wSeBZ47wD7GUrBmt2LK9vvSmXmbzNzUcusp4Anmum/AS7PzF9k
  5tPA/wXeEREvGuyxM/OZzPxvSgj/y4g4pFk+FfhlZn42Mx/PzD9m5tco9+q0tjsc+O/7rRFxd5Sa
  1r61tMc1NXmPRMRP232ZiIg9I+KB1oAeEX8VEbc10xERpzbvYw9FxIwBav7GRKm1frw59v4t+31/
  M++JZn8n9reTiPh4RNwREduv5Fhazxi6NKCI2Bn4CPDa5lv7QcAcSnh4F/C25tvvccDTzQfKj4Gv
  AlsBXwH+s88Hzf8Cjgc2BeZRwsKfgZcCewBvbZYD/CNwZWZuQQlEX2spWyewbWbetpJTuAwYS1NT
  NYADgCsy85l+lr8ReAHwg9aZmflHSvB7a387zswlTVn2bSn/vsC2zbaXsnyIWpmk1CC8qQmsWwD7
  NPsfaLt/At4ZETsN8ljHAv8BXAIcFBHbDHK7NfG+5pg/Al4WEX1rz5ZQwsLpEbHBIPc5HELZqtyL
  ayQifhQRzwDXA8dl5gPNopdTaqIAyMx7KX97O6/qMTJzPvArlt3Tb6HcJ31dDOwdES9os6zfv+/G
  ocBrgVcBR0fEgc35HQGcChwJbAP8DOgb2MjMmyihc/+W2e8GvtNMf5wSHvel1Mw9Bpzd70nDXsBs
  ynvbVKC1ebYXOKR5n/wA8JWIeHXfHUTEZyl/V2/KzPtXciytZwxdGozFwEbAKyJibGbOy8w/AB8E
  /j4z74Hnv10/RnmTvDszL8rMJZk5A7iT5Wtxzs/MO5sgsiWlaeyTmfmnzHyYEtiOadZdBEyOiPGZ
  +Wxm/rJlP4cAV6ys8Jn5HKV5cMuW2V9rvjk/1vz7uWb+VsADK+xkma2Bh5ty9/VAs3xl7u9TjmOB
  H2XmnykfVm+LiIH2sdSfgMsp1+ldzfSfB9ooMx+kNC/9w0DrRsQ+wHhKzchs4HeUmpJWn+5zLc8b
  ZPn7O+YkoAu4JDOfpPx+j21zHj+m1Bwe33dZn3I9GhGP0hI01tD4Pud71MCbFP3ci/+vZX+/GuSu
  bmk5t8eAU9oc6+3AiykB9vyImNgsejGwsM/qT1C+AK2O1nt6a9r//TxA+bzZss2ylf19A5yRmU82
  Ae96YGmI+VCz7O7m7/GLwKtbzrPVDJr7tqmtPoRlAe1DlPexB5rawX8Ajor++/71Zub/a2qwLwbu
  orznkZk/zcw5zfTPgKto+ZJFqSU7kxJOuzJzoO4AWs8YujSgzPw98AnKt7oHI+KiiNgOmAjc22aT
  7YG5febNpXx4L9X6FM9kYEPggZYPkX+lfHsF+DTlXr0pIn4bER9o2bZv0+IKovSz2obSfLfUxzJz
  y8wc1/x7ejP/EUp/lf48DGzdzxvyds3ylRlP0+8qIjYG/pqmZiAzf0O5Tn1DTTtLa20uoASS91Ka
  /wZrGqXW6i8GWO9Y4KrMfKp5fQkr1sZ9uc+1/ABr5r3AHU3Ig1ID+J5+arT+D/D3wMZtli0t15aZ
  uSUw0LkO1oI+53vpYDfs5178eMv+XjfIXe3Rcm7j6KfprgkGlwI3UvoVQqn12azPqpsDTw72PPp4
  /p6m3P/t/n62o9ROPtZm2cr+vqHUHi31NCU0QnnfOKslVD9Cqckdz4ouAv4qSp/JdwC/Xtp/sNnP
  D1r2M5MSBPv2vVxqQZ/XcynveUTEwRHxP01z59I+l61forYATqCExafQqGPo0qBk5ozM3BdY2mdi
  GqVZcMc2q99P6d/UahLLv1m1dvqdT6m12arlw2eLzPyL5tgPZuaJmTke+DBwdkS8tPkAezOlv9HK
  HEl5E715oPMErqGEkU36Wf4/lNqkd7TOjIgXU95gr+lvx02fkrcD/93Megflw++bTZ+TByjNK4Nt
  Ylz6bXo7ShPrL1Zhu0cptYn/SD8ds5tQeDSwf0v5PgW8KiJeOdhjrYb3Aju1HHNpM/UhfVfMzGuA
  e4CTGBlPhq3Kvbgyq9pUOpYSWKDUVr7q+R2Vzu8bAnevciFKrdJrWXZPX0P5ItHXu4D/ycw/9V3Q
  39/3IA4/H/hQa/jMzBdn5g1tjjGLEo4OoTQtXtSyeB5wcJ/9vKilObavvqFuEnB/lKc4LwW+BGzT
  hOGfsvzv6lHgMErN4xsHcY5azxi6NKCI2DlKx/mNKJ2Xn6E0OX4b+HxEvKxZ75VNv62fUD40j4ny
  KP+7KE8D/qjd/jOzh1IN/5UowzVEE6re1Oz3qGg66FM6gi9pfvYBbuvvG2NEjIuI9wBfB77YNH0O
  5ALKm/n3ImKXpixbRcSUiHhbZj5BaX74WkQcFGWYhh0o/Y/msayfCDRvts012I3SxNEB/Euz/Fjg
  XOCVlA/BVzXn9KooT5gN1mFA6xN0g/1A/gqlj9pu/Sz/K+C5ZvnS8u1GeTpthea+1bRcWaM8cPFS
  4PUtx3w5pSmov2P+H+Azq3O8WlbzXlzdY+0SEW+LiI2b+/N/Aa+j/I1BeSrz7RGxd5TO8/8AfK/p
  lzjYY2wSEW+m9Cu8ITN/2iz6HPDGKA/CjIuIF0fExyh9ONv+jlby9z2Qf6U8lLB7s5/NB2jqvYjy
  VOe+LN/v7JvAF2LZcCPbRES7p3SX6oiIjzXX9q+BXSlPT2/U/DycmUsi4mDgwL4bNw8gvIfyHvP6
  QZyn1iODCl3NB87vooxLdGFEbNT8QV0VEXdFxJWx/BhFU6KMbTQrmk6PGtFeQOkv8RClFmsbYArl
  Q/s/KI+DL6SEsE2aWpTDgP9NaW7438ChLR807WokjqW8Yc2kfBu8hDLEApQP4Bsj4gnKm/zHm34T
  h7Ji02ICtzXrzqZ07j85Mz/XZ72vx/JjS90MkJnPUvpb3EmpQVsI3ECpabmxWefLwGnAPzfL/4fy
  LfotufwTY0c35Xi8KfdDlIcReqM8sbQ/8JXmm/7Sn1sofZgGqu16/hpm5qzmm/wKy1hJ7U/TX+pL
  tO9nA+V38m+ZuaC1jJTg8J6WJtbP9LmWDw5Q9rbn0XLMH2bmzD7HPAs4LNo8Vdb0AbppZee6kuOt
  rXX7236ge3F1jjHQNkHpCtAL9FD6vB2a5SlbMnMmpUbpomb5JpQHZQbj683feg/ly8MltAxbkqV/
  5z6UfldzKO8Xf0UZfuX5GqjmPtm7ednf33e7c229739IeV+aERGPA7cDb2u3bmMG8Cbg2j59qc6i
  POCw9H3sl7Q86NCnrFDeD3aivLf9I/DOLE9qPkXplH9J00x5DP082NLU0H4QuDzadLTX+isyV/73
  G2WMnuuBXTPz2Yj4D8oH3e7AI5n5pYg4BRiXmac23zoupPwhTaBUN++UAx1IWkUR8TvKG96dQ10W
  SZIGMpiaricoTUovavrQbELpm3MEy8YEmk7pqwDl0dsZmflc821lNhUej9boEqVD7HQDlyRppBgw
  dDVNQmdS+qssABY2VaMdmdnbrNNDGWsISifD1ifTFtD+aRJptWXmosz80lCXY12J5f+7nNamuycG
  3nroRflvZtqV/7dDXTaAKINSrnBtI+Ldw6BsQ/a77++4fZrXJK2msQOtEOUpkk9SHqtdSGmvfg8r
  aWuXtGYy8+es/rhJQy4zL2L5J8SGlcx8xVCXoT9D+bvPzBF7z0kjwYChi/LUyy+WdjyMiB9Qnnjq
  jYiOplNwJ+X/ZYNSs9U6ON0EVhzXhIgwpEmSpBEjM9foCejB9Om6C3hD8/hxUP6blJmU0a/f36zz
  PpY9pXE5cEzzhONLgJdRnixaQWb60+fn9NNPH/IyDMcfr4vXxWvidfG6eF2G8mdtGLCmKzNvi4h/
  B35NGZvpVuBblOrviyPiOMrj8kc368+MiItZNqrvSbm2SitJkjRCDaZ5kSzjEn25z+xHKeMZtVv/
  DOCMNSuaJEnS+sMR6YeZrq6uoS7CsOR1ac/rsiKvSXtel/a8Lu15XdaNAQdHXWcHjrDVUZIkjQgR
  QVboSC9JkqQ1ZOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIk
  VWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA
  0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFL
  kiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJ
  UgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQK
  DF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6
  JEmSKjB0SZIkVTB2qAvQTmfnDvT2zh3qYgw7HR2T6emZM9TFkKRRYdKkTubP7x3qYgw7Eyd2MG9e
  z1AXY0SKzByaA0dkf8eOCGBoyjW8BUP1+5Kk0SYiuP76oS7F8LPffozKz6KIIDNjTfYxYPNiROwc
  EbdGxC3Nvwsj4uMRMS4iroqIuyLiyojYvGWbKRExOyJmRcSBa1JASZKk9cGAoSsz787MPTLzNcBr
  gT8CPwBOBa7JzF2A64ApABGxO3A0sBtwMHB2lKorSZKkUWtVO9K/Bfh9Zs4HjgCmN/OnA0c204cD
  MzLzucycA8wG9lwLZZUkSRqxVjV0vQu4qJnuyMxegMzsAbZt5o8H5rdss6CZJ0mSNGoNOnRFxIaU
  WqxLmll9e9GNvl51kiRJg7QqQ0YcDPw6Mx9uXvdGREdm9kZEJ/BgM38BMLFluwnNvBVMnTr1+emu
  ri66urpWoTiSJEnrRnd3N93d3Wt1n4MeMiIivgtckZnTm9fTgEczc1pEnAKMy8xTm470FwJ7UZoV
  rwZ26js+hENGrA6HjJCkWhwyoj2HjFh9g6rpiogXUjrRn9gyexpwcUQcB8ylPLFIZs6MiIuBmcAi
  4KR+05UkSdIo4eCoI4o1XZJUizVd7VnTtfr8vxclSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSp
  AkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG
  LkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S
  JEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS
  KjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg
  6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqYOxQ
  F2BlDjoIvvpVGDMGzj0XvvSl5ZdvuSV85zuw3XawwQZw5pkwfXpZ9u1vw2GHQW8vvOpV9csuSVp9
  V9xzBZ+44hMsySV8cI8Pcso+pyy3/J9/+c9c+NsLCYJFSxYx66FZPPyZh9li4y0442dn8J3ffocN
  YgNe2fFKzjviPDbaYKPVKsdNN8HXvw6ZcMgh8O53L7984UL4whfgkUdgyRI4+mh429vg2Wfh5JPh
  uedg0SLYe2844YSyzfTp8OMfw7hx5fXxx8Oee65W8TTCRGYOzYEjsr9jRwQRyd13wwEHwP33w803
  wzHHwF13LVvvs5+FjTeG006DrbYqyzo6YPHicoM/9RT8+7+vT6ErGKrflyTVsiSXsPPXdubaY69l
  +0235/XnvJ4ZR81g1613bbv+j+/+MV+94atcc+w1zH18LvtN3487P3onG22wEe+69F0cutOhHPuq
  Y1e5HBHB9tuXL/Rbbw0f/nD53Jk0adk606eXgHXCCSWAHXssfP/7pSLgT38qn1GLF8PHPgZ/+7fw
  yleWbTbZpAS0kWi//RiVn0URQWbGmuxj2DYv7rknzJ4N8+aVbwozZsARRyy/Tk8PbLppmd500/JN
  Y/Hi8voXv4DHHqtbZknSmrtpwU3stNVOTN5iMhtusCHHvOIYLrvzsn7X/+4d3+XdryhVUJu9YDM2
  2mAj/vjsH3luyXM8vehptt90+9Uuy4QJ0NkJY8fC/vuXz5ZW48bB00+X6aefhs02K4ELSuCCUtOV
  uezzSqPXsA1d48fD/PnLXt93X5nX6pxz4OUvhwUL4LbbSlWuJGlkW/DEAiZuNvH51xM2m8CCJxe0
  XfeZRc9wxT1X8M7d3wnAuE3G8am//BSTvjqJ8f8yni023oK3vPQtq12WbbZZfvqhh5ZffthhMGcO
  HHVUaSb86EeXLVuypNSAvfOdpcVlhx2WLfvBD8r6X/5yaZXR6DBsQ9dgTJlSwtb48bDHHvCNb8CL
  XjTUpZIk1fKju3/EPpP2YYuNtwDg3sfu5Ss3fIW5n5jL/X93P089+xQX/faidXb8iy6CHXeESy+F
  b30LzjoLnnmmLBszplQOXHwx3H47/OY3Zf4RR5Ttvv3t0jf57LPXWfE0zAzb0LVgwfLt5hMmlHmt
  9t4bLrmkTN97L/zhD7Br+yZ/SdIIMX6z8cxbOO/51/c9cR/jNx3fdt0Zd8x4vmkR4Ff3/4q9J+7N
  lptsyQZjNuAdu76DX87/5WqX5cEHl00/9NDyNV8Ad9wBb35zU+7xpSly3rzl13nRi+ANb4C77y6v
  t9gCoukZdOihy/dV1vpt2Iaum2+Gl72sBK8NNyyd6C+/fPl1Zs2CtzS1xttuCzvvXMLXUhHLbmxJ
  0sjw+u1fzz2P3sPcx+fy7OJnmXHHDA7f5fAV1lv4p4X819z/4ohdlnX43WWrXbhhwQ386bk/kZlc
  +4dr2W3r3Va7LAsWlP7DixbBddfBG9+4/PJJk+CWW8r0o4+WrjDbbVc61S9tNvzzn+HXvy41YkvX
  W+pnP1u+2VHrt2H59GJn5w709s7loIMO4qyzzmLMmDGce+65TJs2jRNPPJHM5JxzzmGrrbbivPPO
  Y9KkSUQEZ5xxBjNmzADgwgsvpKuri6222ore3l5OP/10zj///IpnuPZ1dEymp2fOUBdDkta5K+65
  gpOvOPn5ISNO3edUvvmrbxIRnPjaEwGY/pvpXPn7K7noncs3H375F1/m/NvOZ4PYgD2224Nvv/3b
  bLjBhqtchkmTOpk/v3etnM/6ZOLEDubN6xnqYlS3Np5eHJahS5IkaThZr4eMkCRJWp8MKnRFxOYR
  cUlEzIqI30XEXhExLiKuioi7IuLKiNi8Zf0pETG7Wf/AdVd8SZKkkWGwNV1nAT/JzN2AVwF3AqcC
  12TmLsB1wBSAiNgdOBrYDTgYODvC7uySJGl0GzB0RcRmwL6ZeR5AZj6XmQuBI4DmfzpkOnBkM304
  MKNZbw4wG/B/lZIkSaPaYGq6XgI8HBHnRcQtEfGtiHgh0JGZvQCZ2QNs26w/HmgZS54FzTxJkqRR
  a+wg13kN8JHM/FVEfIXStNj30cNVfhRx6tSpz093dXXR1dW1qruQJEla67q7u+nu7l6r+xxwyIiI
  6AD+JzNf2rzehxK6dgS6MrM3IjqB6zNzt4g4FcjMnNasfwVwembe2Ge/DhkhSZJGhCpDRjRNiPMj
  Yudm1gHA74DLgfc3894HLP0v4C8HjomIjSLiJcDLgJvWpJCSJEkj3WCaFwE+DlwYERsC9wIfADYA
  Lo6I44C5lCcWycyZEXExMBNYBJxklZYkSRrtHJFekiRpAI5IL0mSNEIYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJD
  lyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5J
  kqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJ
  FRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqGDvUBWins3MH
  envnDnUxhp2Ojsn09MwZ6mIMO50TOuld0DvUxRh2OsZ30HNfz1AXY1jxXmnPe6W9SZM6mT/f+6Wv
  iRM7mDfP+2V1RGYOzYEjsr9jRwQwNOUa3oKh+n0NZxEBU4e6FMPQVLxf+vBe6cdU75V2IoLrrx/q
  Ugw/++03Ou+XiCAzY032MajmxYiYExG3RcStEXFTM29cRFwVEXdFxJURsXnL+lMiYnZEzIqIA9ek
  gJIkSeuDwfbpWgJ0ZeYemblnM+9U4JrM3AW4DpgCEBG7A0cDuwEHA2dHqbqSJEkatQYbuqLNukcA
  05vp6cCRzfThwIzMfC4z5wCzgT2RJEkaxQYbuhK4OiJujojjm3kdmdkLkJk9wLbN/PHA/JZtFzTz
  JEmSRq3BPr24d2Y+EBHbAFdFxF2s2NN99PWqkyRJGqRBha7MfKD596GI+CGlubA3IjoyszciOoEH
  m9UXABNbNp/QzFvB1KlTn5/u6uqiq6trVcsvSZK01nV3d9Pd3b1W9zngkBER8UJgTGY+FREvAq4C
  PgccADyamdMi4hRgXGae2nSkvxDYi9KseDWwU9/xIRwyYnU4ZEQ7DgPQj6mj87HulfFe6cdU75V2
  HDKiPYeMWH2DqenqAH4QEdmsf2FmXhURvwIujojjgLmUJxbJzJkRcTEwE1gEnNRvupIkSRolBgxd
  mfkH4NVt5j8KvKWfbc4Azljj0kmSJK0n/L8XJUmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJD
  lyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5J
  kqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJ
  FRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiS
  JEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmS
  VIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSapg7FAXoJ2Ojsn09sZQ
  F2PY6eiYPNRFGJY6xnfQO7V3qIsx7HSM7xjqIgw73ivtea+0N3FiB/vt5/3S18SJ3i+rKzJzaA4c
  kUN1bElTTr9KAAAbF0lEQVSSpFUREWTmGtUIDbp5MSLGRMQtEXF583pcRFwVEXdFxJURsXnLulMi
  YnZEzIqIA9ekgJIkSeuDVenTdTIws+X1qcA1mbkLcB0wBSAidgeOBnYDDgbOjgjbCiVJ0qg2qNAV
  EROAQ4Bvt8w+ApjeTE8HjmymDwdmZOZzmTkHmA3suVZKK0mSNEINtqbrK8CngdZOWB2Z2QuQmT3A
  ts388cD8lvUWNPMkSZJGrQFDV0QcCvRm5m+AlTUT2itekiSpH4MZMmJv4PCIOATYBNg0Ii4AeiKi
  IzN7I6ITeLBZfwEwsWX7Cc28FUydOvX56a6uLrq6ulb5BCRJkta27u5uuru71+o+V2nIiIh4M/Cp
  zDw8Ir4EPJKZ0yLiFGBcZp7adKS/ENiL0qx4NbBT3/EhHDJCkiSNFGtjyIg1GRz1i8DFEXEcMJfy
  xCKZOTMiLqY86bgIOMl0JUmSRjsHR5UkSRpA1cFRJUmStPoMXZIkSRUYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJD
  lyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5J
  kqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJ
  FRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqGDvUBWins3MH
  envnDnUxhp2Ojsn09MwZ6mIMOzt0djK3t3eoizHsTO7oYE5Pz1AXY1jxXmnPe6W9SZM6mT/f+6Wv
  iRM7mDfP+2V1RGYOzYEjsr9jRwQwNOUa3oKh+n0NZxHh3dJGgPdLH94r7XmvtBcRXH/9UJdi+Nlv
  v9F5v0QEmRlrso8Bmxcj4gURcWNE3BoRv4uILzTzx0XEVRFxV0RcGRGbt2wzJSJmR8SsiDhwTQoo
  SZK0PhgwdGXmn4H9MnMP4C+A/SNib+BU4JrM3AW4DpgCEBG7A0cDuwEHA2dHqbqSJEkatQbVkT4z
  n24mX9Bs8xhwBDC9mT8dOLKZPhyYkZnPZeYcYDaw59oqsCRJ0kg0qNAVEWMi4lagB+jOzJlAR2b2
  AmRmD7Bts/p4YH7L5guaeZIkSaPWoJ5ezMwlwB4RsRlwZUR0sWJP99HXq06SJGmQVmnIiMx8IiJ+
  ArwO6I2IjszsjYhO4MFmtQXAxJbNJjTzVjB16tTnp7u6uujq6lqV4kiSJK0T3d3ddHd3r9V9Djhk
  RERsDSzKzIURsQlwJfA54EDg0cycFhGnAOMy89SmI/2FwF6UZsWrgZ36jg/hkBGrwyEj2nEYgPYc
  BmBF3ivtea+055AR7TlkxOobTE3XdsD05gnEMcAFmXlt08fr4og4DphLeWKRzJwZERcDM4FFwEn9
  pitJkqRRwsFRRxRrutqx9qI9ay9W5L3SnvdKe9Z0tWdN1+rz/16UJEmqwNAlSZJUgaFLkiSpAkOX
  JElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkV
  GLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0
  SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpgmEdug46CGbNgrvugs98ZsXlW24JP/kJ3Hor3H47vO99Zf5GG8ENN8Att8Add8A//dOy
  baZNg5kzyzaXXgqbblrnXLRuXQHsCuwMTGuz/BHgYODVwCuB85v5fwb2AvYAXg6c1rLNZ4Ddmm3e
  CTyxDsotaXi76SY49lh473vhu99dcfnChXDKKXD88XDccXDFFWX+Qw/B3/0dvP/9Zf73vrf8dt//
  fvnMOu44+Na31vlpaJiIzByaA0dkf8eOCCKSu++GAw6A+++Hm2+GY44pAWypz34WNt4YTjsNttqq
  LOvogMWLYZNN4JlnYMwY+MUv4FOfgl/+suzvuusgE844o/x72mltizEMBUP1+xrOIoIdgWuB7YHX
  AzMoIWypzwF/As4AHgZ2AXqBscDTwAuBxcDewJnNv9cA+1O+mZwKRLP9SBHg/dJHROAVWZH3SnsR
  wfbbw5lnwtZbw4c/XD53Jk1ats706fDss3DCCSWAHXtsCVQLF8Kjj8LLXlY+iz70Ifj858u2v/kN
  XHghfPGLsMEGZd3NNx+681xV++03Ou+XiCAzY032MWxruvbcE2bPhnnz4LnnYMYMOOKI5dfp6VlW
  U7XppvDIIyVwQbnJAV7wghK8HnusvL722hK0oNSGTZiw7s9F695OwGRgQ+AY4LI+yzuBJ5vpJ4Gt
  KIELSuCCUuu1BBjXvH4Ly/5A3gDct9ZLLWm4mzABOjth7FjYf//yJb7VuHHw9NNl+umnYbPNSpDa
  cssSuKBUAkyaVGq/AC67DN797rIejKzApTUzbEPX+PEwf/6y1/fdV+a1OuccePnLYcECuO02OPnk
  ZcsiSvNiTw90d5dmyr6OOw5++tN1UnxVNrFlegKwoM/yE4DfUWrCXgWc1bJsCaV5sRPoAnZvs/9/
  ozRPShpdttlm+emlwWmpww6DOXPgqKNKE+NHP7riPnp64J57YPfmzeW++0qXmJNOgk9+cvkWHK3f
  hm3oGowpU0rYGj8e9tgDvvENeNGLyrJMeM1ryreUN72p/LQ67TRYtKh9G73WP2dQwtb9wK3AR4Cn
  mmVjmnn3Af8N/Fefbf+JUoP2N1VKKmkkuegi2HHH0kf4W9+Cs85a1tICZfr000sY22STMm/xYnjy
  STj77NLs+LnPDU3ZVd+wDV0LFizfbj5hQpnXau+94ZJLyvS998If/gC77rr8Ok8+Cf/5n/C61y2b
  9773wSGHwN/4KbremNcyfR/Qp1KUXwB/3UzvCLwEuLPPOpsBhwK/apl3PvAT4KK1VVBJI8qDDy6b
  fuih5Wu+oDys9eY3l+nx40tT5LzmDWnx4hK43vpW2GefZdtsuy3su2+Z3nXX0jKzcOG6OwcNH8M2
  dN18c2kPnzQJNtywdKK//PLl15k1C97yljK97baw884lfG21VWlXh9LR/q1vLR0XoTwR+elPw+GH
  l86PWj/cA8wFnqV0oj+8z/LdKB3joXSgvxt4KaVT/dL3umeAqylPK0J5IvLLwOXAC9ZVwSUNawsW
  lObBRYvKQ1hvfOPyyydNKl1ZoHScv+8+2G678nraNJg8uTQ9ttp77/IEPZRuNIsX269rtBiWTy92
  du5Ab+9cDjroIM466yzGjBnDueeey7Rp0zjxxBPJTM455xy22morzjvvPCZNmkREcMYZZzBjxgxe
  8YpXMH36dCKCMWPGcMEFF3DmmWcCcPfdd7PRRhvxyCOPAHDDDTfwkY98pNp5r4mOjsn09MwZ6mIM
  Ozt0djK3t3eoizHsTO7oYE5Pz1AXY1jxXmnPe6W9SZM6mT/f+6WviRM7mDdv9N0va+PpxWEZuiRJ
  koaT9XrICEmSpPXJgKErIiZExHUR8buI+G1EfLyZPy4iroqIuyLiyojYvGWbKRExOyJmRcSB6/IE
  JEmSRoIBmxcjohPozMzfRMSLgV8DRwAfAB7JzC9FxCnAuMw8NSJ2By6kDAw+gdJ/eae+bYk2L0qS
  pJGiSvNiZvZk5m+a6aeAWZQwdQQwvVltOnBkM304MCMzn8vMOcBsYM81KaQkSdJIt0p9uiJiB8oT
  9TcAHZnZCyWYAds2q40HWsaSZwErDpskSZI0qowdeJWiaVq8FDg5M5+KiL5tg6vcVjh16tTnp7u6
  uujq6lrVXUiSJK113d3ddHd3r9V9DmrIiIgYC/wY+GlmntXMmwV0ZWZv0+/r+szcLSJOBTIzpzXr
  XQGcnpk39tmnfbokSdKIUHPIiH8DZi4NXI3Lgfc30+8DLmuZf0xEbBQRLwFeBty0JoWUJEka6Qbz
  9OLelP8H+LeUJsQETqMEqYuBiZT/geXozHy82WYK8EFgEaU58qo2+7WmS5IkjQiOSC9JklSBI9JL
  kiSNEIYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkV
  GLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0
  SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJD
  lyRJUgWGLkmSpArGDnUB2uns3IHe3rlDXYxhp6NjMj09c4a6GJI0Kkya1Mn8+b1DXYxhZ+LEDubN
  6xnqYoxIkZlDc+CI7O/YEQEMTbmGt2Cofl+SNNpEBNdfP9SlGH72249R+VkUEWRmrMk+BmxejIhz
  I6I3Im5vmTcuIq6KiLsi4sqI2Lxl2ZSImB0RsyLiwDUpnCRJ0vpiMH26zgMO6jPvVOCazNwFuA6Y
  AhARuwNHA7sBBwNnR6m2kiRJGtUGDF2Z+XPgsT6zjwCmN9PTgSOb6cOBGZn5XGbOAWYDe66dokqS
  JI1cq/v04raZ2QuQmT3Ats388cD8lvUWNPMkSZJGtbU1ZMTo61EnSZK0ClZ3yIjeiOjIzN6I6AQe
  bOYvACa2rDehmdfW1KlTn5/u6uqiq6trNYsjSZK09nR3d9Pd3b1W9zmoISMiYgfgR5n5yub1NODR
  zJwWEacA4zLz1KYj/YXAXpRmxauBndqNDeGQEavDISMkqRaHjGjPISNW34A1XRFxEdAFbBUR84DT
  gS8Cl0TEccBcyhOLZObMiLgYmAksAk7qN1lJkiSNIg6OOqJY0yVJtVjT1Z41XavP/3tRkiSpAkOX
  JElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkV
  GLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0
  SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU
  gaFLkiSpAkOXJElSBYYuSZKkCoZ16DroIJg1C+66Cz7zmRWXf+pTcMst8Otfw+23w6JFsPnmZdlm
  m8HFF8PMmXDHHbDnnmX+614HN95YtrvxRnjta+udjyRpZLnpJjj2WHjve+G7311x+cKFcMopcPzx
  cNxxcMUVZf5DD8Hf/R28//1l/ve+t2yb3/8ePvpR+OAH4e//Hp55psqpaBiIzByaA0dkf8eOCCKS
  u++GAw6A+++Hm2+GY44pAaydQw+FT3wC3vrW8vq88+C//gvOPx822ABe+EJ48km47jo44wy4+mp4
  29tKmNt//3VzjmtfMFS/L0kabSKC7beHM8+ErbeGD38YPvtZmDRp2TrTp8Ozz8IJJ5QAduyx8P3v
  l+lHH4WXvayEqg99CD7/+bLt3/4tnHQSvPKVJaTdf38JZiPFfvsxKj+LIoLMjDXZx7Ct6dpzT5g9
  G+bNg+eegxkz4Igj+l//3e9e9i1k001h331L4AJYvLgELoAHHlhWG7bFFrBgwTo7BUnSCDdhAnR2
  wtix5Qv6L36x/PJx4+Dpp8v000+XVpYNNoAttyyBC2CTTUrYeuih8nr+/BK4oLS2/Pd/1zkXDb1h
  G7rGjy835lL33VfmtbPxxqXWamn17UteAg8/DP/2b6Xp8ZvfLOsAnHoq/Mu/wNy58KUvwZQp6/Y8
  JEkj1zbbLD+9NDgtddhhMGcOHHVUaWL86EdX3EdPD9xzD+y+e3n9kpcsC2/XX18+rzQ6DNvQtSre
  /nb4+c9LdS6UbySveQ184xvlW8TTT5ewBXDuufCxj8HkyfDJT5ZgJknS6rjoIthxR7j0UvjWt+Cs
  s5bvo/XMM3D66SWMbbJJmfeZz8APf1iaK//0p/KZpdFh2IauBQuWbzefMKH/psBjjlm+g+N995Va
  sl//ury+9NISwgD22gsuu6xMf+97yzrYS5LU14MPLpt+6KHla76gPKj15jeX6fHjS1PkvHnl9eLF
  JXC99a2wzz7Ltpk4Eb78ZfjXfy1Nlttvv27PQcPHsA1dN99c2sMnTYINNyzB6vLLV1xvs83KDb80
  SEH5I5k/H3baqbw+4IDyFCOUfmJvelOZ3n9/uPvudXsekqSRa8GC0jy4aFF5EOuNb1x++aRJ5Wl4
  KB3n77sPttuuvJ42rbSqHHXU8ts8/nj5d8kSuOACOPzwdXsOGj6GbaXmkiWlOvaqq2DMmNIseOed
  cOKJkAnnnFPWO/JIuPLKUkXb6uMfhwsvLIHt3nvhAx8o8z/0odLsuNFGZZsTT6x7XpKkkePkk0tz
  4JIlcMghJURdfjlElK4t73lPCVcf/GBZ/0MfKpUBv/0tXHtt6b91wgll/eOPL60r1167rKJg331L
  n2SNDsNyyIjOzh3o7Z1buUTDX0fHZHp65gx1MSRpVJg0qZP583uHuhjDzsSJHcyb1zPUxahubQwZ
  MSxDlyRJ0nAyrMfpioi3RcSdEXF3RJyyro4jSZI0EqyT0BURY4CvAwcBLwfeHRG7rotjrW+6u7uH
  ugjDktelPa/Lirwm7Xld2vO6tOd1WTfWVU3XnsDszJybmYuAGcBKxpPXUt7o7Xld2vO6rMhr0p7X
  pT2vS3tel3VjXYWu8UDLePLc18yTJEkalYbtOF2SJEnrk3Xy9GJEvAGYmplva16fCmRmTmtZx0cX
  JUnSiDEsh4yIiA2Au4ADgAeAm4B3Z+astX4wSZKkEWCdjEifmYsj4qPAVZQmzHMNXJIkaTQbssFR
  JUmSRpMh6Ug/mgdOjYhzI6I3Im5vmTcuIq6KiLsi4sqI2Lxl2ZSImB0RsyLiwKEp9boVERMi4rqI
  +F1E/DYiPt7MH+3X5QURcWNE3Npcmy8080f1dYEyFmBE3BIRlzevvSYRcyLituZ+uamZ53WJ2Dwi
  LmnO83cRsddovy4RsXNzn9zS/LswIj7udYkpzT1ye0RcGBEbrfVrkplVfyhB7x5gMrAh8Btg19rl
  GKofYB/g1cDtLfOmAZ9ppk8BvthM7w7cSmkG3qG5bjHU57AOrkkn8Opm+sWU/oC7jvbr0pzrC5t/
  NwBuAPb2uiTAJ4HvAJc3r70mcC8wrs88rwucD3ygmR4LbO51We76jAHuByaO5utCyST3Ahs1r/8D
  eN/aviZDUdM1qgdOzcyfA4/1mX0EML2Zng4c2UwfDszIzOcycw4wm3L91iuZ2ZOZv2mmnwJmARMY
  5dcFIDOfbiZfQHlzfIxRfl0iYgJwCPDtltmj+po0ghVbL0b1dYmIzYB9M/M8gOZ8FzLKr0sfbwF+
  n5nzGd3X5QngWeBFETEW2ARYwFq+JkMRuhw4dUXbZmYvlAACbNvM73utFrCeX6uI2IFSE3gD0DHa
  r0vTjHYr0AN0Z+ZMvC5fAT4NtHZIHe3XBMr1uDoibo6I45t5o/26vAR4OCLOa5rSvhURL8Tr0upd
  wEXN9Ki9Lpn5GHAmMI9yfgsz8xrW8jVxcNThaVQ+3RARLwYuBU5uarz6XodRd10yc0lm7kGp+ds3
  IroYxdclIg4Fepua0ZWNlzNqrkmLvTPzNZRawI9ExL6M4nulMRZ4DfCN5tr8ETgVrwsAEbEhpcbm
  kmbWqL0uEfFSSreFycD2lBqv97CWr8lQhK4FwKSW1xOaeaNZb0R0AEREJ/BgM38BpZ19qfX2WjXV
  uZcCF2TmZc3sUX9dlsrMJ4CfAK9jdF+XvYHDI+Je4LvA/hH/fzt3r1pFEMZh/HkLRRMEFWtFCXZi
  YyFaWIhB7yApxHgPKWLuwhuwsfYrdiJ2Vn5EDUkQy4AKEXuL8FrMLK79cRac5weHc3Y4xeyfOcu7
  Z2Y2HgLfO84EgMz8Vt/3gaeUqY6exwqUmZS9zHxbjx9RirDecxncAt5l5o963HMul4DXmfkzMw+A
  J8AVZpzJFEXXG2AhIs5ExGFgCdiYoB9TCv6+S98AVurnO8CzUftS3UFxFligPGj2f/QA2MnM+6O2
  rnOJiFPDTpmIOArcoCzc7DaXzFzPzNOZeY5y7XiVmbeB53SaCUBEzNV/iomIeWAR2KLjsQJQp4X2
  IuJ8bboObNN5LiPLlJuXQc+5fAYuR8SRiAjKWNlh1plMtEvgZj3BL8DaFH2Y6kWZO/8K/KLMHd8F
  TgAvayYvgOOj79+j7IrYBRan7v8/yuQqcEDZyboJvK9j5GTnuVyoWWwCH4HV2t51LqNzvcaf3Ytd
  Z0JZuzT8fraG62rvudTzvEi52f8APKbsXjQXmAP2gWOjtq5zoawV3QY+URbNH5p1Jj4cVZIkqQEX
  0kuSJDVg0SVJktSARZckSVIDFl2SJEkNWHRJkiQ1YNElSZLUgEWXJElSAxZdkiRJDfwGJ8B604Me
  6OIAAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f79605a94d0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "source": [
      "scores_ordoned={}
  ",
      "for i in glob.glob(\"scores/*DO*.bak\"):
  ",
      "    if \"MINIAE\" not in i :
  ",
      "        continue
  ",
      "    scores={}
  ",
      "    print i[:-4]
  ",
      "    data=shelve.open(i[:-4])
  ",
      "    for key,table in data.iteritems():
  ",
      "        scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)
  ",
      "        if key not in scores_ordoned:
  ",
      "            scores_ordoned[key]=[scores[key]]
  ",
      "        else :
  ",
      "            scores_ordoned[key].append(scores[key])
  ",
      "            
  ",
      "    pandas.DataFrame(zip([x[0] for x in data[\"ASR_H1_TRANSFORMED_W1\"][0] ],[x[0] for x in data[\"ASR_H1_TRANSFORMED_W1\"][1] ])).plot()
  ",
      "    data.close()
  ",
      "    show_network_TRANS(scores,title=i,unite=200)
  ",
      "    #except:
  ",
      "    #    print \"C4EST LA MERDE\",i"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": true
     },
     "outputs": [],
     "source": []
    },
    {
     "cell_type": "code",
     "execution_count": null,
     "metadata": {
      "collapsed": true
     },
     "outputs": [],
     "source": []
    },
    {
     "cell_type": "code",
     "execution_count": 149,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "ASR_H1_TRANFORMED_OUT 0.697
  ",
        "ASR_H2_TRANFORMED_OUT 0.682
  ",
        "TRS_AE_OUT 0.838
  ",
        "TRS_SPARSE 0.841
  ",
        "ASR_SPARSE 0.78
  "
       ]
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzsnXd4VMX6x79nW5It6T2Q0BJCh0hRQLpIEwEbKqiAFbte
  9SoqWH/YvSqIDVAuiopSpCoXERG49J6Q0NJD+maz2b7n98fL7J7tGxLvgp7P8+RJsnv27Jz2ne+8
  884Mx/M8REREREQuTyShLoCIiIiIyMUjiriIiIjIZYwo4iIiIiKXMaKIi4iIiFzGiCIuIiIichkj
  iriIiIjIZUxQIs5x3BiO4/I4jsvnOO4ZL+/HcRy3keO4QxzHHeU47q5WL6mIiIiIiAdcoDxxjuMk
  APIBjARQBmAvgKk8z+cJtpkLIJzn+Wc5josHcBJAEs/z1j+t5CIiIiIiQTnx/gAKeJ4v5HneAmAF
  gOvdtqkAoLnwtwZAjSjgIiIiIn8+siC2SQNQLPi/BCTsQj4D8B+O48oAqAHc0jrFExERERHxR2t1
  bD4L4DDP86kA+gBYwHGcupX2LSIiIiLig2CceCmAdMH/bS68JmQQgNcAgOf50xzHnQWQDWCfcCOO
  48SJWkREREQuAp7nOW+vB+PE9wLoxHFcBsdxCgBTAax12yYXwCgA4DguCUAWgDM+CiL+8Dzmzp0b
  8jJcKj/iuRDPhXg+/P/4I6AT53nexnHcQwB+Bon+FzzP53Icdx+9zX8K4P8ALOE47jAADsDTPM/X
  Btq3iIiIiEjLCCacAp7nNwHo7PbaJ4K/qwFc17pFExEREREJhDhiM0QMGzYs1EW4ZBDPhRPxXLgi
  no/ABBzs06pfxnH8//L7RERERP4KcBwHvgUdmyIiIiKXLO3atQPHcX+Jn3bt2jX7+EUnLiIicllz
  waWGuhitgq9jEZ24iIiIyF8UUcRFRERELmNEERcRERG5jLlkRLyxMdQlEBEREbn8uGREXKMBzp0L
  dSlEREREWpe6ujpMnjwZarUa7du3xzfffNOq+w9qxOb/irIy4CIybEREREQuWWbPno3w8HBUVVXh
  wIEDGD9+PHr37o0uXbq0yv4viRRDiwVQKIDVq4Hr3ZebEBEREfHDpZxi2NTUhJiYGJw4cQIdO3YE
  ANx5551IS0vD66+/7rH9ZZtiqNfT71L3CW5FRERELmPy8/Mhl8sdAg4AvXr1wvHjx1vtOy6JcArr
  1BRFXERE5M+A8+phm8fFmP3GxkZERka6vBYZGQmdTtfyAl1AFHEREZG/PKGKtqjVajQ0NLi8ptVq
  odFofHyi+YQ8nHL6NDBnDv0tiriIiMhfiaysLFitVpw+fdrx2uHDh9GtW7dW+46Qi3huLvDjj0BE
  BFArLiMhIiLyF0KpVGLKlCl48cUX0dTUhB07duCnn37C9OnTW+07Qi7iTU30u00boL6ecsU/+CCk
  RRIRERFpNRYsWICmpiYkJiZi2rRpWLRoUaulFwKXQIrh0qXAjBnAsGHAkSPAiBHAypWhi2GJiIhc
  XlzKKYbN5bJMMWROPC0N0GqBLVtCWx4RERGRy4lLRsSjoykuXl9PQ/BFRERERAJzyYi4Wk1CLpMB
  dntoyyQiIiJyuXDJiLhKRSKemQkYDIDNFtpyiYiIiFwOXDIizpx4mzb0tzg1rYiIiEhgLgkRHzEC
  GDCARDwtjWLiboOcRERERES8EHIR1+uBWbOAgQOdIh4ZCbTi1AIiIiIif1lCLuJNTYBSSX9fdRVw
  5ZWiExcREREJlktKxGfPBiZMEJ24iIiISLBcUiLOEJ24iIjIX4UFCxagX79+CA8Px8yZM1t9/0GJ
  OMdxYziOy+M4Lp/juGe8vP8PjuMOchx3gOO4oxzHWTmOiw5m395EXHTiIiIifxXS0tLwwgsvYNas
  WX/K/gPOJ85xnATARwBGAigDsJfjuDU8z+exbXiefxvA2xe2nwDgMZ7n64MpgC8R12qDPQQRERGR
  S5dJkyYBAPbu3YvSP2G+7WCceH8ABTzPF/I8bwGwAoC/lTBvBRD0cs5NTTTQR0hcnDgtrYiIiEgw
  BLOyTxqAYsH/JSBh94DjuAgAYwA8GMyXf/45UFJCg3uExMcDJ04EswcRERGRwHAvtXx9Nn7upTlT
  Ymsvz3YdgB3BhlK2bwceewyIiXF9PT4eqKpq5ZKJiIj8bblUBbg1CEbESwGkC/5vc+E1b0xFgFDK
  vHnzHH+XlAzDuHHD8N3x77A6bzWWXL8EYbIwxMcD1dVBlExERETkL8i2bduwbdu2oLYNuCgEx3FS
  ACdBHZvlAPYAuJXn+Vy37aIAnAHQhud5g499uSwKMXkycMcdwGLjdViXvw4nHzqJrLgsHD4MTJ9O
  i0SIiIiI+ONSXxTCZrPBYrHg5ZdfRklJCT777DPIZDJIpVKPbf+URSF4nrcBeAjAzwCOA1jB83wu
  x3H3cRx3r2DTSQA2+xJwbxiNQHg4kF+Tj9iIWJTryvF74e+Ij+dFJy4iIvKX4NVXX4VSqcQbb7yB
  5cuXQ6lU4rXXXmu1/Yd0ebYRI4Bn51hx3S41ru10LW7tfivuW3cfdt65D30yMmEyAVzL+yNERET+
  wlzqTrw5XHbLs5lMQK39HFI0KWgX1Q5F2iI0mBpQYShCeLg44EdEREQkECEVcaMR2KfdgD7JfZCi
  ScHxquMAgCJtEdLSgKKiUJZORERE5NIn5E78y9PzMXfoXKRqUnGs8hgAEvHsbCAvL8AORERERP7m
  hNaJm3jUmM6jW2I3pGpSkVtFCS/zfpsHdP1eFHERERGRAIRUxA3WJoRJwyGTyNAhpgMMVgPkEjkA
  QBu3Fbm5AXYgIiIi8jentUdsNgsj3wC1XAMAyIjKgFwix209bkOyOhl55+px5kwoSyciIiJy6RPa
  mDgaEBkWCQCQSqToGNsR8cp49E3ti0Z7FfT6UJZORETkciAjIwMcx/0lfjIyMpp9/CF14iZeh6jw
  SMf/WXFZiI2IRYIyAVprJZqaQlg4ERGRy4Jz586FugghJWQizvOAVdrgIuLTe05HmiYN0eHRqDNX
  iSIuIiIiEoCQibjJBMiUOmjCNI7Xbux6IwCguqkaNcZK8KKIi4iIiPgltCKucsbEhcRGxKLRogOM
  FgDy/33hRERERC4TQtax6RBxhaeISzgJYiNiYQ+vhsUSgsKJiIiIXCaETMSNRkAS4RpOEaJWqBER
  2QhD0HMiioiIiPz9CKkTl0R4D6cAgEquQphGL6YZinhlxQrgb56UICICIMQxcRLxVK/vqxQqhKmb
  xAwVEa988QVgswHt2oW6JCIioSWk4RRObkCELMLr+yq5CmFqvSjilyD79wOnToW2DDqduIQfACxa
  BPz0U6hLIRJKQhpO4eQmhMnCvL6vUqggV4kifinyxRfA6tWhLUNDg7iYNgA88ADw1FOhLoVIKAmt
  iMvMUEgVXt9XypWQRYgifiliNod+wQ7RidMzBNC8+zZbaMsiEjpCJuJmMwCpbxFXyVWQiiJ+SWI2
  A42NoS1DQ4Mo4jodEBsLxMeLC6j8nQmZiNtsCCzi4WLHZksxGIDz51t3n6F24jwvOnGAzoFGA2Rn
  Q5y2+W9MyETcbgd4iR8RV6jAhYlOvKW8/DKQnNy6+zSZQuvE9XoS8r97TLyhAYiMBNq3BwoLQ10a
  kVARUidu5/w7cU4hinhLBztFR9PvmpqWl4URaieu0wFSKWXIGI3/m+9s7UFn7L42m+nvs2fR7DER
  zIlHRPzvzoPIpUdIRdyfE1fKleAU+pB3oIWSwkKgX7+W7cNup9+//97y8jBCHRNvaADS0ykWPHXq
  n/99v/wCKJWtt7/qaiAtjdaQTUsDhg8H+vYF7rmnefvR6ciJh4eLIv535pIVcZVCBUmEvlUd5OVG
  VVXLQwZMbIuLW14eRqhFXKcDwjIO4d11P2HrVqC+nsIr7Ke1OX364j7nq0wnTlCZ77+fBD0vD9i4
  ETh6NLj9sb8bGsiJiyLeOvwZ987/gpDGxAOFUySKpr9151VDQ8vFUq8HEhKA0tLWKRMQ+nBKcU0N
  Tg8cjenrbsC46/WIiQEkEvqRSoFVq3x/9h//AL7+unnfdzEC+cknzjK98ILre7m55MB37gTuvReY
  Ng3o3p3CQ75SBTduBGQyct46HZCSQq2QyMi/bzjl+HFgzJjW2dfixZdvvv0l7cQh1/+tO690OoqX
  spDIxdDYCGRlta6Im8w26BpbUKgW8lvZesTpB6NzfGc8+9YpF8f75Zf044tdu4C9e5v3fSwfuzks
  WQL8/DP9dm8F5eUBjz1GleEnnwALFlC4JimJYuPe+Oor4OOPgQ4dgP/8x5lx9Hd24vv3A4cOtc6+
  li6lc3w55ttf0h2bNpn+b+/EAbSoc1evJxEvK2udMgFAcdYc1GYs9vn+0qXAN9+03ve5U9fYBLUk
  AZmxmcivyXd5b/x4YOtWz05CqxWYNIlCFsGm402YAGRk0AjV5lBaCuTnA8OGOZ2zkLw8Sgt0p3Nn
  +pw7PE9OfOJE+tyqVbRvgJz+5STiPE99GU8/3bL9LFgAvPUWUFmJFk9XXVkJHDkCtG0LXH118z//
  4ovAr7+2rAwt4ZIVcbVCDQt0ooij+VkLQv4MJ26RaGGS1PqMIR45Auzb13rf5055lQFxkRHIisvy
  EPHYWKB/f3LBQv74A1izhs5lXl5w3/P77yScBQXNK9/atcC4cUB+3XG8Xnyt4zoycnO9i3hsLMXK
  3ampIbFOTga6dCER79aN3isvv7xEXK+n4/nvfy9+HzwPfPABcOwY/V1e3rIy/fQTcO21wPbtFKJp
  Tj+c2Uxl+fzzlpWhJVyyMfFEVSLqLOf/tiK+eDHwf/9Hf7O4+EsvNV+M9XpyeBcj4kuWkPi5Y4MF
  vNToM+2uqenPG4jz1FPA3kNGJMWFIzs+G/vKPWuLyZNJSBm5ucB99wFduwIDBlAoIlDrhqX+9e7t
  +vqaNcCPPzr/37DBNQa/ZQvl5k+ezOPhjQ/jsPZXNOictV1TE31/+/ae36lSAevXe8ZmS0sphg6Q
  iOt09BugePilIuK7d1OrZc8e4JprSBAZL7xAbpVVUu59PZ98Qlk63lz1ww+ToTlyhPoQ8vPp8xoN
  EBUF/PYbcNddzu0ff5xaKv76Rhi//gr885/AlCl0/rOzg6/kLRbgxhupcl27FnjvveA+19oEJeIc
  x43hOC6P47h8juOe8bHNMI7jDnIcd4zjuICNi0BOPEWTgsqmCjTo+L/l6j5PP+0UXubElywBDh5s
  3n4aG6kTzGCgkEJzWLWKmvHu2HgrIDX57HRtavrzBuK8/TZQrzMiNSECN3S5AXtK92BX8S6XbQYM
  cI2Vfv45CcT+/cB331FzPpDbqqkB4uKoU1jIjz+6PqyrV1MKIuOdd6jzVN5tHaqbqiGXyFHf5DxR
  +flAp07UAeuOWk2drm+/7fq6UMQnTybRmjGDwgAffnjpiPiHH1IF9uGH1En72WfO9159FXjwQRLx
  sDCgrs71s6tXA9u2AbW1rq83NgIffQSsWwfMm0f7PHQIuOoqCo2NGEHnW9gP8t13dM8Hk1a7Ywcw
  aBBw8830f3NEfPt2SgPevp3ugVdfbXlo52IIKOIcx0kAfATgWgDdANzKcVy22zZRABYAmMDzfHcA
  NwXabyARV8qVCJeFIzq5zuPC/h2Ii3P+3dhILZeysubHthsbSRzUas/Y7I8/+g8VlJZSJ9rSpa6v
  23gr5EqjzwwVb05cq6VmZ6sgNyA1KRyaMA3eGPUGHtn0CHhBbIfFlgsKaKrW1avJiYeHA23a0AAo
  b2ELIdXVJPbx8c7XeJ4e8J07SUABcvnsWHU6arnccw9wrOooJmRNQEx4HBosVGOYzRQ/9RZKAega
  Cb+LUVoKpF6Ydl+hAIYMoY7QhAT6fTEi/sYbdG/U1wOzZ3tvcTWHr74iobVYgG+/pfO+fLlrqyU3
  l8S7fXvP819RQb+FoafycuCRR+jvV15xOmsWjsrIoMqNXQuAzlt1NcW2A11jgMzG8OEAx9H/zZnC
  YM0a4JZbgMRE4MorgY4dSdBbm0AtimCceH8ABTzPF/I8bwGwAsD1btvcBuAHnudLAYDn+YCNaauV
  hw1myCW+F0JO0aQgKq38bxlSEYq4Xk83psVyceEUtdp7B9uSJdT890VpKTWR33zT9XU7LAhX+Xfi
  7tds1SrguedalotrtVKa3ZSbjYiMCAcA3N7jdhTWF6JMV4Y6Qx0Olh+ERkPx5Wefpalaq6qAXr2c
  +4mO9nSC7lRVkUgKnbjFQg94jx5Op5+X5zzWo0cpzBEZCTSYGqBRaBCnjIPOSi7k5En63Msve/9O
  lcr5t1CYhE7cG80V8cpKCiHs3w98/z39vPRS8J93x2KhEMby5cDmzRQSGj2aWhT/+Add83C6XCgu
  JvHVal2zrkpLyT0L71GW3XP99RSOWbSInou8PGc46fHHyXlLpXQOdDqq6JKTA19jwFlZMxITg4+J
  79vn2hE6eXJwIZzmsmGD//eDWdknDYAwSaoEJOxCsgDIL4RR1AA+4Hl+mb+dWu02cJBAKvHSrrxA
  ijoFVUnlqK7uFkQx/1oIRby2Fvj0U/pbKOI2G900N97oez/MiWs08Ohgq6/3XSksW0ZCxnHkaC0W
  QH6hvrXBCoXSGFDET5ygz1ss5ML1eqCkhB40kwno08f/OXCnooIeuNhEAyLktJgIx3HIScnB/vL9
  KNYW46f8n7Bp2iZkZzuPNzvb6bQA30585UrKYJHJvDvxwkISo0GDSMzr62k7JuLCDssGUwPaRrZF
  gioOx7ga2O0kPn37OgXIHaETf/55cnldu1Kcec4c3+clkIgfOECC+csvdN5ZuKC6mlop8+eTGM6d
  6zxPY8ZQvNhkoo7xhARym5oLS+JarRTmqK+n69KxI2XzAFTJAcAdd1AIZNs2CqEkJlKYJT6eWhCN
  jVThmUy0n/79Xe/RyAsrN/bqBdx2G4UEH32UzjPrN+jQgX4efZTE12Si/QfT2mLnQHiNIyKCm2KB
  5z07qCdPBoYOpd9nz1Lrady4wPsCKIyWn08V0JNP0vliBGoZtNbybDIAOQBGAFAB2MVx3C6e5z3W
  f5k3bx4AYMcuC7gU3wIOkBNviC/7W+aKsxs4IYGc0g8/0P9C0T19Grj7bv8irteTw/Mm4nV13kVc
  r6cHEKBUwWefBc6coTAFzwM8rJBH+A6n6PUk1E88QQ9r+/Z0cw4YQAKyeDE9LIt9Zyl6hTlSo82I
  cFm44/UrUq7AgfIDKNYWo7yRUhXS06kVAXiGL7w94DYbcPvt1OfQtavz4Y6KIpdns1HHWnY2ifCe
  PU4BfP992ofQIerMOkSGRSJeFQdFVA30et9ZKQzmxG+4gUT31VdJyNPSnALpjUAiPnQoCWbfvpSC
  mZ0NjBpF5f39d7rG0dHOEaN799Lrx4/TqNLZs+n433yTWjYAxeUXLKBzlpxMcXB3OI4EbcECOoaI
  CBLx6GjnNYiMpLBJcjK9JrynDAZafm/6dOdx2mx032dkuH5XQgKZDrOZ/m6OiAtbW8GKeGUl3RfC
  z2Zn07Ny44303VdcEZyIV1XReX38cergHTkSMBi2Ydu2bQCoEvZHMCJeCiBd8H+bC68JKQFQzfO8
  EYCR47jtAHoB8Cnir7xVjx36BX6/OFWdilPRZaiuppr/8GE6MX8HzGb6nZLiuvyWUHRLS+mm53lX
  p8mwWskFh4fTw7J7N7kk5qa8OfGdO51NX4BGBf773yRAnTvTPjmZBdIw/+EUgJrWkZGUKfDII9SJ
  tHw5Nbe7uTWudu2iYx461Ps+eZ5aBykpgMHiuqzf1RlX4+lfKPG4opGCq9HRzjm23Z2vtwf83Dn6
  /tJSVxGXSKhVxHKJu3Shh/XRRymW+thj5JJXriTn+vzztL8GEy0CHhcRh7CYGuh0JJpjx3o/PsDp
  xKdMofOQk0OfuflmiuX7ItCIzQ4dqOxPPumca+b118nhDx5M1+iGG+gHoGv01FN0nPPmkZivW0eV
  1v330+/Fi4GZM0m0/DF5MsXwR4ygltypU/Q3C2mlpzsrZ3ejYTTSvdOpE/3PcbSNVgvExLh+T3w8
  XTOz2dOJ79lDrULGyJGUEw4E58R5nsJgERFUXqWSjJW3CvnRR4GFC6kls26d72fTbKZ7xmymsMzo
  0XSuT5+mZy0zcxjGjh0GvZ5MgsHgO94VTEx8L4BOHMdlcBynADAVwFq3bdYAGMxxnJTjOCWAAQD8
  NgLMNjOk8L40GyM9Kh1WVTGqq+lAZ84MorR/EYxGqsX79aML/e9/U+zv3DlnXLm0lBybr3Q5rZYe
  UHbzP/kkCSjDXcRLSihUsHUrfe+SJfR6RoZTEM1mgJNawcn9d2zedx/dfJ07U2wzLY2axABlKeTl
  ucbHZ80iUfQVxzx0iI7/rrsAo9XViV/b8VqkRaahSFuEOmMdLDYLoqPJfQ4aRDFVId5EnDVZ2fk4
  eJDCCADFY6OjnU68Xz+6F+fNo2avzUYtot696fuACzHxMA3iIuIgj6yBVkuVmD8TwkT8i9q70OZz
  Dk1mE3bu9O/egeBi4vfc4+rm09KodTVpkue28fHkjpm4PfsssGIFVbTr1wMPPUTOWZjW54uBAyku
  fs89tL9Tp0iAY2Kc12DvXqo43fttDAYSTiGRkdTf4Z7dw0SciTK7xhYLCerWrRTW+fprSllkBCPi
  R49ShTpyJI2azcuj0NPs2Z7Hy3HUFzBvHl3PkhLv52X5cuqs3baN7tN//pNez84m5z12LJV78mSn
  MfBFQBHned4G4CEAPwM4DmAFz/O5HMfdx3HcvRe2yQOwGcARALsBfMrz/Alf+wQAi90MKbxnpjDS
  o9JhDCtEdTXV0E1N1DHChli3dFKnQPnMBw607iCZ5mA0kstLTaVm8O23AzfdRDcZy1BhZXMX09JS
  cszCpiILz7DjtVgo7FFWRi7TaHSum7lqFd1E7CEVPlwmEyCRWcHJ/Dvxl14iV9K1K+07LY1c39Kl
  lP8ulTqHjlssFEO85hrXSkbIqlXAnXeSW3QXcY7jsOG2Dah7pg4JygSc1593TME7fTqVQUhMDAmY
  MA2RxYnLymgQydatFHoASLRiYqgl2KULhVg++4yOhzF1KqUysvOtM1E4JU4ZB6mmBsuWkdj6iocD
  znBKnY1qzPQrjmHfvpaLeGkphWaEMfe0NBIc9woOcIoa+52TQ9sNHUoCeM89dPwpKf7LBdB1fust
  Oj/x8RQ6YOGUmhpnOGfSJKcTLyyk+7SmxlPENRpX0RWWefduct0sDNbQQK23rCzKnlm6lDJntm6l
  fbMBYcIZKr2J+KpV1CKrqKCyLlhAx8NMiTsTJ5J56dLFd7riqlUkzkuX0g+r3LOz6T7q35/+zsmh
  StAfQeWJ8zy/ief5zjzPZ/I8P//Ca5/wPP+pYJu3eZ7vxvN8T57nvUTIXDHbTAFFPCM6AzpJEaqq
  nPOIjBhBvfxbt1LTpiUsW+a7w8hgoBP70EMt+46LxWh0dqIJL6LwxvAl4lOnUlNO6DJYCIX1L2i1
  5GgsFpqz49ln6cZq04Ycl3CQi1DEmRPnZf6dOHswmACxFDmGcCGDM2dIVMaOdcax3dm61TnZkcHq
  7NhkcBwHjuOQoklBua7cIeLsuIVER1NecZ8+JMwAjSC84go6p8OGUWshNtb5GYWCKhpvg3Tuuovi
  /0KE4ZSk9jXYuZMeWm9NawYTWQOvRdeErug++gCuv94z/uuOPxFnGRvuwtezJ91XSUmen3EXccYT
  TwCZmVSZXgysgmvblp7dOXPInLRtSzH6yEhqiXXpQtvOnevdiXsT8ZEjqVI+doyun1RKrdR773Ud
  4h8TQwJ59dVUIbkLsTcR37qVXPO//kXX/8QJamkGondv7/dzYyM5cGYShFx5pbP18swzgQUcaL2O
  zWZjDtKJ19qKXJy4xeK63JivmFMw1NX5no2PNfVaMucIz9ND5H4jemsmusNE3H0uh+xsEtk+fZwi
  XllJcUOOo+88fpx+und33vDuTrysjG7oqChni2PfPrpxXnmFYnQMjcbZ6jGbKSYOid2rE+d5uk7s
  +Lp0IdF0n49bo3EOYmIdfiwE4o28PDoewNOJC0lRp2DbuW3QS6oBjHUctxDZhbt+5kwKU2VlUebG
  m2+SK+J54LXXXD+jUDjL7Q4LOwlhKYaxEbFI61SDjXO9HxcArDi2AnnVeZiaPA8A0GTTYmK7sbDY
  92PR04EnGQ8Pp3tKWHkyysrIMUvc7FpiomfqKIOJrbtYDh9OPxcLm1yqTc/TSKo9ibwF47BypTMW
  r9FQZSoUUW9O3Nvc7lOm0I87M2Z4vj55MpmzgwddzcrXR79GpuRaGAxxLtvn5ZEDT01tnqmbOJFC
  mM88Q6aJnddNm2iwEjMaQtLS/Kf9eiN0CyXbzJBx/kU8JjwGdlhRXquFTkcPfWMjCRF7EIPpgfYF
  26c36uroZmlJOGXPHu8xx169AlcOTMTdGT6cerB79qSyhYVRGOJCRzaqqqjsLH/Z3YlXV9PD3qsX
  hVyYU87NpRvrmmuouSzMWfZw4hIr7FLvKYYmE10bdn369vWeWaFWOwX79GlyeCqVdxGvqiIBSEyk
  /907NoVMyp6Ep7c8jZdOjXM5biGZmfTwPvIINbPHjqX/Bwyga+aekgg40yuFIQkAOFN3xmP+FkDg
  xJVxqGlyTTz+vfB3nKw+iQPllHbwzq538NJvL8Emp5tZb9ViUPognKjyG5EEQMKzvfg/sFi8d5rm
  5lLHZnNQKkk8vTnelnDFFeS4e3yahRdPjsfEiTRnCSMyks6/sLUTrBP3RteuzmwaIVOmUGhSOHbg
  UMUhTF81HQfqfnWpRGpr6VkMJnTkzuDB1Jd0zTVUAZw5Q6+vWkUVSWsRMhG38oGdOMdxSFAmorS+
  Gg0N5MINBhIi1nxsicgyd++N+npykZWVFz89JRNUITxPFzbQKFRfIn7LLdS5WVlJv7Oy6JwcOULv
  5+XRQ8hGEgpFXCql19hMeYWFzhjt2bMUSunXz3NkpTBrwGwGILXCzpm8tmLc3WBaGoWt3BEKdlUV
  NeuFwi58Tp3eAAAgAElEQVSEpe4xYfXnxGf0noGp3aeiV+xVAODViV91FbmwXr0oRvrbb/RQ9ejh
  nGTKHebEhZUbACw7vAyf7f/M5TWr3QqzzQylXIm4iDjUGFxF/LHNj2HI0iEYt3wcGkwNyK/JR0ZU
  BiosBQB4NJi16JvaFwW1/mfe4nket/94Ox7YcD8AcrHug6nWrPHebA+Ee458azB+PLD5ZzvsvB1t
  IttgzRrXSlGjoftz0iTnPRhsTNwbx49TTNmdlBTqJGf3E8/zeGTjI0hWJ6PKVOQi4mzGyYtp7ctk
  wHXXUYf2+PHU52Q20+Adb30RF0vIRNwShBMHAHVYBBqaDC6jqIQi3qMHxcgvBhZn90Z9PTm/2Fjf
  q8Vv3+4/Y6ax0TNWqdc7Fxo+edL5gL3/PsXcGL5EHCAxTkqicrEMCpZdUVBAoZCTJ6lnnDXhMjIo
  vl5V5Yypd+vmXP5Nr/f9cHjGxC2wceTE+/en+PEnn9D73pr03lCrna2gqir6bpXK+Vp9PTkpNkpS
  2LlntBo9YuKOcyOR4h9X/QM2jk68NycuZPBgcoiTJ1PIYdo0OiZ3FAq6Hu5ZEXqLHgaraxBVZ9JB
  rVCD4zgPJ87zPPJr8lGpr0RMRAz+tftfkEvkuLLNlSg15qNLDyM4jkOHmA5oMDWgweSW3C/AYDVA
  wklQ2lAKyJtgsTjDZQcOUJx47VrvrcFAdO/uPf7fUgwWA6ScFJX6Stjsru6IpVH27eu8bu4i3qED
  taRak5KGEpysOYnHBjyGCoOriB865NkxLuRc/TmcqDrhMu2DkOnT6d56/HEKrTzxBA2Muhhn74vQ
  ibg9OBFXKpSITTS4zLMsFHHg4leZCeTEo6PJSfpy+ydOeJ//maHXe4o461jU60lomfiePOnaCeIt
  li4kLY0EmgkvE+aGBhLsXr2ckz0BVFl8/bVzObDnn6dOoGuvdc5v4T7ZE0PoxE0mABIrrDCitJTS
  w5YudU4tGqyIC504azEInXhhIZ2b335zHUQDkHj5cuIATWNstNOOvDlxITIZHQPrJJ8/nzrD3FEo
  PEMpAKA362GwuIp4vbEe0eEU8IwOj0ajuRFWO80+VtFYASknxfSe0zHn6jl4/7/vIysui+ZGr83F
  1p1aRIVFQcJJ0Cm2EwpqfLvxOkMdklRJ6JLQBbvOHMGVVzrvp337qEMuMZFEo7ls2EAZFq2NwWpA
  VHgU4iLiHDn9jIEDqTPyttuc1839GZgzh+LcrUmlvhJpmjS0j2mPMn0RzGZn65tNK+wNnUmHLgu6
  YOjSofjswGdetxk+nHLKhw6lDta9e/3n/F8MIRVxKXzPm8KIkEUgLqXJZeipu4h7G2FVV+fa86zT
  OWcqE74WSMRTUz3j13v2UK1aWkrbTZhAHRfuCJ34Rx/RqEvmlBobnZ8HSNzXr3fW+v6cOEAizgZI
  JCaS2L3zjnOY/dSpFHIR1vhs9r533nF2EgLODpZgnPi0aQAvscLKmxwpek1NJB6LFlH6lTexc0fo
  xJmIC504qzhXrfLuxP2JuEqhQpNVj/j4wCIOBNdUlss9QykA0GRtQpPV9SYqbyxHioZOvISTIDo8
  GnWGOpTpypD6birilHH4avJXGJc5DhGyCAxIG4B+af3w2u+v4cfcHx0VQGZspt+QCqsseib1xNHz
  R9GlC+UfP/QQVXxqNYXfLiUMFqqA06PSUagt9HifXQtfTvzPoKqpComqRKRHpaNIW4TwcLrvnn2W
  Br/5WgLuUMUh9ErqhYXjFmJ13mqf+2fHFBNDIVBvHZotIWTZKTbeBikX+OuVciViEgzYKZgSlYn4
  jBkUy/Um4uXlNGKQUVXluVBAME5cq/V0+seOkWBNnEi5o8eP05St7iuvC534xo00hJh18un1ThG3
  2+mYdDqnk9Jf9Sye3qbDwgkfeS1fWhq54shIivsNHUpx3rQ0KveDD1L52Mg0gDpBi4rofAnTMwOJ
  uEZDZauvp/OakGRBtcEImdSZ9ZCXR3HM3FzKDw+ESuWs+Lw58dJSCv+sXk1umYk4z/MBRVytUKPR
  3IiKIv8VYXPw58TNNrPLa2W6MqSonbWn1qTFlV9ciacG0oQfaRqazSo2IhYlTzhHg9za/Vbk1+Qj
  KjwKANAuuh2KtEU+y1RnrENMRAziI+JRa6jFNdfQPSiVUojoyy8vLpRysfA8jztX34lbu9+KsZne
  h6YarUZEyCKQEZ2Bs3VnMbDtQK/b+XLiwfLk5ichl8oxf9T8gNtW6iuRoEpA++j2OFV7CuGROrz3
  ngY7d1IL1ldI7kD5AeSk5GB0x9G4+6e7UdFYgWR1ss/viY4mY9XaIh66jk27FVLO/9wpABAhj0B0
  glNpFQoSZIOBTm5kpHcRb2x0Dknfto2a/Ho9bTtkCN3g/px4XZ0zNa6piYbSfvUVOU2W4bFmjXPG
  MzZ72bJl1JHBysBEPDeXflg4hTlxnqdyVFc7a+zGRoC/4mN8vN/3tATp6STQMTH0OzOTysRmLeQ4
  2sbdZSYlUWUiTDkLxok3NFDIJzsbsMMKk9WEseN4DBtGoQ6plDpro6K8p3q5EygmXlpKYwKiouhv
  Fp81WA1QSBWQcL5vXZVcBb1Zj/Dw1lu+XKHw7sS9xcTLdeUuIm61W3Gm7gze/ONNLJ+yHFvv3Or1
  O5RyJcp0ZYgKIxFnztAXdYY6xITHICo8ClqTFuPGUaWVlUWtxZ49PVML/0w2n96MX878gltW3oKF
  exd63Ybl+PdM7InD5w87Xl+4dyHGLR/nqBBb6sTf3f0ulhzykvvphUp9JRKViUhQJeD67Oth6vM+
  du6kMJS/e/lgxUHkpOQgKjwK911xH4YsGYJt57b53J5NFdBcEf/8gP9lg0K3PJs9OCceIYtAx2x6
  SFQq6tgoL3eGG3xNWKPXU6eYyUSx5p9+opS6s2dplNi2bYHDKTExThFfupTyPVetIsFt29b5vSkp
  5PqNRhpkw6aOZE7cYKAYr3DaUubE2XdVV1PTrV07SkXirBRYXrDHu5Dffz/w4ktmNPX8F/7v/5wC
  yMIpjCPnj2DZYb8TSjpuLl8xcZWKjuH4cRJxq90KHjz+9aEFq1bR8W7fTnHxkyepkgwEi4lbrVRB
  xMQ4X+N553wav/xCnXQsZbFIW4S2kW397lsulUMqkcJku4gVjn3gz4k3WXyHUwCg6qkqPH7l4+A4
  DlO6TIFM4v2+V8qVKG8sdzjxgCJ+wYlHhUVBa9RCo6Hm+h9/0L3E5hzxx4f//dBv5ynj30f+7bUs
  erMe83fMx+KDi/HV4a/wUL+H8I+B/8DGU15WE4EzPTQnJQcrjq3Al4doNYevDn+Fjac2Or6jOU68
  Ul+Jj/Z4tlg7xASXW1mlr0KCim7+Ee1GwBBxGnI5nUN/UwsUagvRPprcxWsjXsMzg57BtB+nYcaa
  GZixZgaWHlrqsj0T7+aK+B/F/id7D52I81a/09AylHIlMrvSQxIbSzdmVRU97OHhzoEO7rBmuU5H
  7zMHzOYAMRhIPIxG76vJ19eTC1QqnesyVlTQfqqrnZ0rcjkJW48e1JEkzP5obKSK5ORJckcNDdQC
  kMnovZIS+nxdHTn6nBwSrueeA3gzifjrO173el7UasCkKMPrO+ciLs4ZimCzFjLmbJ2DO1bf4fcc
  s/lVhE681lCLrWfJMUoktM/duy9MgnWhk04dZUJkJDn+rl2pQzUpCTheeRx51f6XR2FOvKaGbmqp
  lM6FXE4Vb0kJ9UekpZGjZOTX5CMrLsvvvgEKqZTpyrDt3Db8mPsj7LyXiyxgX9k+vL3zbcexuePX
  ibt1bJY3ujrxeGU85lw9B5unbfYbBlLKlTjfeB6RYaRgvuLGAAnPmpNrXJw4QOc/JobSKANRb6zH
  45sfx76ywAuiTl81HWOXU4jkdO1pvLr9Vby6/VXcsfoOPPef5zBr7Sx8c+wbXJF6BYa1G4Y6g/dJ
  cJgTz0nJQXFDMe5ddy+OVR7D0cqjyEnJQWE9HS9z4t7CYWvy1jiu07HKY7hv3X14eKNzQpSvj34N
  AIiLiPP8sBvn6s9h46mNSFTRIASlXAnIm9CuHfU1+WvJlOuclbVcKsesnFlYNGERhqQPQaIysdVE
  3F/nNhBSEQ/eifNSA/74g1KPoqNpVjk2t7M/Jw6QcApFnA31Zq41LMy7G2fLcymVNGkPi4uzSXZy
  cihskp5O4nf11ZQRUF0tiGtfKMO5c+Tcf/yR5kN54AEa4FJeTvs5d44EQqGg71u/HoCFLIjO5Dv1
  ptHciEZzI3ie9+nE45WBk2olEnIdwk7ADQUbHDMDAjQYZtkyctkWmwVyiRxGq/ex3jmf5qD7wu5e
  32Mw1332LLU+hK/X1NCoVJb+CJBwGCwGFNQUBC3iSw4uwfAvh+OG727AyhMroTPpcLbuLLRGz17o
  j/d+jKd+eQqnaj0m3gRAlYs3J95kaXJx4pX6Smws2OjixAEgThmHTrH+rbFSrkSlvhJqOX1RRlSG
  w5keqzyG/Jp8fHP0G3xz9BvcteYuRydoVJhTxIPFYrPg7Z1vw8bbvA5WckfCSXCi6gRsdhtu//F2
  nKo9BaPViB6JPbBj5g68OORFAEBOSg7iIuJQa/A+EII58SR1ElbcsAIze8/Eu7veRZvINuie2N1x
  vOxce3PiM9bMwM+nf0Z1UzWe+89zLp2KPM9j9vrZuKv3Xag3UtZAXnUebHYbbHabxwCq+Tvm42jl
  UWgUVGuQiOtd7klflOnKkKpxnU9iQtYEzOgzAzd1uwk6s+uzy8TbfQbGQAS6PiHr2LTarZAEERNX
  ypUwWAwYOJgurEpF7uz0aRJAJuLffUdNc5aRwgSUOXE2tWtREX2+qsrp5BcvppS8Hj0olnjmjGvG
  xIED5DRPnKDXWQx30CC6MPHx5MY3bXK+b7E4WwPl5bQdG8qu11Pe6E030d8FBU4XfPbshQO3kBPX
  mXWw83avMWCdSQcbb4PZZoZaHebVicdHBDcy4sorXf8vqClAfk0+eJ4Hx3GYPJkqp8GDAesOK6LC
  o9BobnQ0Q4VoFBqPAS7uqNU0QOm771zTB8PDKZe2WzcaeMN4YP0D6BLfBUarEb2Se3nu0A2VXIU6
  Yx3UCjWuTr8at6y8BbP7zsam05swtdtUvDbSdVx9VRPV8uW6cmTHe8445S+cwl3oeOB5Hrf+cCt6
  JvVEToqXUSYBUMqV0Jq00ISRoMRGxMJsM6NKX4UeH/eARqHB6I6jIZfKHSGl0oZSjGw/0mvF5I/d
  Jbvx+YHPMSl7Eg5XHEaTpYkEDIDWqHWEdAASXrlEjjhlHLYXbkdJQwl2ztrpck/2Te0LqUSKRFUi
  bHabz+svnPfmlu63oKqpCs9vfR7jMschPdIZPpJK6T52F3GLzYI6Yx3Gf00DLDQKDV4c8iJe3v4y
  DBYDynRliAyLxBNXPoGpP0yFzW7DoMWD8Pl1n6OgtgDPbHkG9hft4DgOPM9jfcF6PNL/EQxtN9Rx
  DZgT94ferIfFbnH0X7gTGRbpEaby58R5nseR8zRir2dST8c9lVuV69Hn4k5Inbiv2KCQCHmEw+ko
  la4iHhHhFPFbbqHJdBhMQJkTZxQVUbO/ooKabLW1lE0xaRLNzDZ3LmV2lJY6VyApKKAKY/lycmRn
  zzrjxzEx9HeXLs5RkrGx9HlWhooK1wunUlGFM3w4vc5WOwHIre/eDXTv7FTiRrP3CUVYTd9obvTp
  xOVSSuNs7kOeX5sPnVmHSj2tEzZjBs0fIZVSBRyvjHc4HXe8Cbv7wA6Vis7Re++5pg+WlZGws4UW
  GI3mRizctxBr89eiX2o/BEKtUKNQW4hH+j+CN0a9gTRNGpYdWQar3Yr1BZ5TJVY1VaFtZFuU6Zz5
  pMIQjLdwip23Q29xxsRP151GblUuNty+wW+Wgi+YiKoVdAE5jkN6VLojJvpw/4ex8uaV+OaGb7Bo
  wiI8NuAxTO4y2SWcEiz5NfkY02kM7ux1JxbtX4Sbvr8JRqsRu0t2o9OHnWC1Wx3HX95YjmR1MjrH
  dcaWM1vQMbajh6lQSBV4cSi58TglOXH3ATB23u7ITmFkxWVBa9IiJyUH6VHpKKgtcNzvS5YACYmu
  YbDqJue0ox1jOmJWn1l4afhLaBPZBlVNVdhfvh85KTmIiYhBnaEOu0t2o9ZQi/UF67FgL/UvsQom
  vyYfEk6C98e87xJO6dyjCfMDJLWwkBnnIz9Vo9AELeJaoxYf/PcDjFk+Bld9cZXDedt5O0b/ezRu
  6eY/TzS0MfFgnfiFmkipJIFii6MKwykeI+kETlyYU15URCGQigrX8IHBQJ2WLOxSW+sUcYOBxPq2
  20iwz593ii5z4p070+guhYI6X3/7zemqmRNnMDHo0oX2KxTxHj1oDo+UJGcF5yukwm52vUXvMyau
  N9OJ8NdB5o38mnwo5UrHDRUdTfNe8DwPi92CBGUC6oze457uIRye59Hj4x4uTVm2/JRC4TnV6pQp
  rqEUgBzcA30fwMSsieiXFljEVQoVirRFiFPGoUdSD/w8/WfozDo8N/g5nKo95VEBVeor0Tu5t2Nl
  oFpDLdr/qz1yq3Id5XR34gO/GIjqpmpHTLy0oRQdYzsGZU68wUScNe0Biov/Xvg7hrUb5tF6eG/M
  e5iQNQFRYVE+K1RfsL6F3sm9oVFooDVqkflhJpYdXobqpmp8f/x7SF+WotZQ6wgbZMZmYsvZLUiP
  8j99qEKqQLgs3EXE9GY9Ut9Jhc6kcxHxzFgafnlFyhXoldwLm05tQtybcag31kPRYw3kr7o+2MxU
  yCQyHJ99HO+NeQ8AkKBMQJW+CrtLdqNfaj9Eh0ej3liPdfnrMLX7VKw4tgJSTop+qf0c9/SB8gPo
  l9rPRYiVciXkyiaXGSy9IYyHeyMyLNLjuQ0LI70SasF3x79D8jvJeGvnW/h52s8YlD4I5+rP4aeT
  PyHrwyzozXp8dp33gUSMkIm4vRkxceZ0Jk6kxHu2aKxQxNkIK1b5+3Pi6enUecY6TxISaDTjoUPk
  Dnv1ovfCwpyjD9mJZ/sVzlc9ciRVCFIpiWhaGsW9i4qc8xB7E/HsbIq75+Z6pvcJm1DsYZi6cqpL
  fIzdJEInrtO5io3eQiK+t2yvv9Pswena0xjZfiRyq13X9mChnThlnE/hYINVWLpYXnUecqtzcfT8
  Ucc2nTrRxPnvveeazbJwIfDuu577bLI0YXa/2fjkuk+CKr9aoSYRv9C51TmuM1LUKbiu83Vey16l
  r0KvpF4o15GIv7D1BVQ3VWPNyTUAaNSe+8g9Fj9n96d7h2ZzcYh4mFPEM6IysKN4h1/hjAqPanZL
  q6C2AJmxmWgX3Q4NzzZgx8wdmJA5AZ8e+BSjO452jEBs+15bXL3kakSFRyE7Pht7SvcgIyrA3LiA
  x5wxR84fwXn9eRRqC12mTEiPSkeKOgV9Uvqgf1p/VD9djQ4xHVDSUOK4RoMWD3LE2KuaqhCvjEff
  1L4IkzkXlUlUJaL/5/3x7yP/xrWdroVKroLFbsGPeT/i4f4PY1afWbip603oGNsRgxYPwvRV03Hb
  j7d5hL2UcqVHtpE7pQ2lGLVslN9ropQrYbKZYLFZXF5/5RXntMyN5kY8sfkJbJm+BSVPlKBHUg+k
  R1Jn9tNbnkaZrgw5KTk+3T4jhBNgBZedEiGPcDidYcModusu4jU1zvg2c93uMXEGC6cATic+ejS5
  vw4dSLQzM52i6i7i1dUUq2W91hMnOkdZskUC0tKc3xkT4ynirCKIj6dty8s90/vYMTNHw/M8Np/e
  7NJTzZx4o7kRUilVOtXVriLeZGnC/Vfcj5d+C345c5vdBp1Zh2HthuFQxSGX96x2K2QSGWLCY3xm
  IAjFGwA2ntoIDpxLBRQR4VwdRXjsDzzgff5sfzMXekOj0KDeWI84JYm4VCJF8ePFSNWkergkg8UA
  k82EzvGdUd5YjsMVh7EydyU+u+4zrC9Yj9t/vB3fNMx2yfhwj/tabBaP/PDm4h5OAUjk9pTuQXqk
  b8GIDIt09J0E4kTVCQz8YiB+Pv2zR+x/4fiFqH26FtN6TMPukt24ocsNKHm8BCnqFJhtZozsMBIA
  AqZ4AhRS+fbYt3hvFzllNmPjmbozLhk6UokUJU+UOCp+AEjVpKJcV+4I2ews3uloxVXqKzGqwyj8
  MdM17a7eWA87b4dcKncIn9VuRX5NPgakDcD7Y97H/436P0crZ+WJlQCAXkmu/SuBRHx3yW4MWjwI
  jw14DF9N+srndhzHOa6LkCefBHiJGZO/nYzei3pjePvhGJQ+yPF+elQ6fjnzCxrNjbiz151BhQ5D
  58TtwcXElXKlx7BmdxFnc2OzQSkACSVb3UMo4na7UyQ0Gpp2lY0wzM52Dmf3JeLz5nmfPxqg+Zkf
  ecRZvpwhFYgY/KmHiPfr5xxEwLb15sS33rEVA9sOhM6sQ3VTNeqN9Y4OOMAZE2chE5WKOlRdwikW
  PUZ3HI2ShhKf6XPuNJoboZKr0De1r+PhY1jsFsgkMhpK7iOcYrAYMCFrAuZuo0m0j1Uew1Vtr0J+
  bT4qGivw/u73vX7OH94WgvBH5zia+EOYZsZMA4tXFmmL8Nr21/DUL09BLpEjRZ2CMl0Znvj5Cbw8
  7GVM6TIFhysO4+ujX+OnfOdCp+/uehdn6s44/mchP/f88ObiLZzCXK8/1yeTyKCUK/1mMgHA2pNr
  MfnbyRjbaSz+mPkHuie6ZhBxHAdNmAbpUekwWA1IUacgJiIGhY8VYu3UteiR2MOlnP6ICovCc1uf
  w1s738KxymP4cA+tE3O67rRHZeweX09Rp6C8sdwlHMPMS6W+EgnKBI/PNJgaoFaoceyBYy7vze47
  G1KJFBzHQcJJ8MHYD9D0XBNKHi9B3TN1GJfp2rwKJOKfH/gct/e4Ha+PfN3R3+QLbyEVgDKhDBYD
  Vty4Ap9f5zqQJyM6AytPrMS4TuPw1ui38PyQAGuzIZTD7mGFLBgnLovwyMNlzREm4izmbDY7R2lq
  tTQIx92JA85Z0LjYM5jxwnn0a0sWq0sXZzjEXcRZWtBcP5P79+9PP8uX0z7eWHIMN3y0FIYN97qI
  eIcOztXrfYm40WpEelS6o5ebzaHBYoKAqxMHnHNeywX3lt6sh1qhdgxFFzqerWe3IisuC20iaUae
  X8/+ivYx7SGTyBAZFok+yX1wtPIothduR5omDR1jOwblxJssTXhl+Cu47pvrUG+sR35NPsZnjscn
  +z/BNcuuwbHKY3jsysd8n0gf+wxGPBismcycuBB2TtfkrcHzvzofkuz4bBw5fwRGqxEbbtuAMFkY
  hrcfjlpDLYq1tCoGz/N4ZfsrMFmdA4ki5BE4UH4Aa0+uxbODA6wc7AeVnGpfoROflD0J3974La7t
  eK2vjwEAOsV2wsmak+if5mUKRlCM/+61d+Pda9/Frd1v9dsKZhWGMAeaCdaR+4+gc3zgmbE+GPsB
  zjeex+wNs/Hiry+ie2J39E7ujV/O/BKwMk5R0+pMdt6Oqd2nIkmVhPyafHyy7xP8kPuD13Ox5Y4t
  kHASxEQ48/dOPnTSMRiHwVoBvsrgT8TX5a/DmpNrsGvWrqCiCN46NwFqmc7uNxt9U/t6vMdacrP7
  zXa5D/wR0ph4sCmG7ifV3YkzEddogP37Sbx/+IHEsrDQU8TZsPPquLX4ZL8zxjp0KP307UszqgGe
  TjwYevWibBej1QjITLBYfOeG+nTiFnKekWGR2HJmi2NkW5Ve4MQv1PIs7l1XB0BZ7RK20Fv0UClU
  UCvULq5gZ/FOzN8xHxsLnCPrHt/8OJYfWe5Y5FcTpkGSKglDlw7FrLWzAFA4RS6RIyYixmdM3GA1
  IF4Zj8Hpg/Hz6Z+RX5OPW7vfigf7PYhpPaYB8MxWAaiCOld/zuN1nuebHU5xiLiXAR9MxFmFlh2f
  jd/u+g2pmlTIpXJ0SejiiLfOHzkf80fOd+TEsxbRptObMCBtAH669Sco5UrM2ToHJ2tOBpWX7wtv
  MXFNmAY3d7vZJeXP6/Em53i0mgC6zvk1+Vi4dyGGthuKaT2nBRSgtMg0cOA8cqABoEdSDyikgWcf
  7Z7YHSM7jMT4zPFYlbcKN3W9CVlxWag11Aa8jikapxPvmdgTV7W5CsuOLMObO9/EmI5jvGZrpGpS
  PTKCsuKyArpld9j2wlg2z/P44cQPuHP1nZg/cn7AfH+Gt3AKz/M4UH4AV6R4XzF7aLuh2HT7pqDS
  aBkhzU6RB5li6J4nyUZSMhGvrSWRjYykQSss73jKFBoS7r7QABtUg4g6hwACFBt/7jlK/Xv+eRIV
  Fppojoh3706zFhqtRkBq8vv56Gg6Dm/hlAhZBFRyFT7e9zGMNiNu63EbKptcnbiEkzicuMkEaKbN
  ROePnE5Jb9ZDJVdBo9A4ttOZdBi0eBCOVh51ZGOUNJTg8PnDOFBxwLEqDQBkxlGzhYmTixP3EU5p
  sjQhQh6BCVkTsPzocjRZmtAuuh2eHvQ0nhn8DOKV8R55xDzPI/ntZAxdOtRjfyabyTGUPlhSNal4
  YcgLLs6MwR4uVgmNaDcCQzKGgOM45KTkICfZ2dnVJaELuiV2c9yDrILcXrgdbSLbYELWBNh5O3YW
  78TcoXNd4pvNxVs4JVhyUnKwv2y/y2t7S/di8OLB6PNJH7zw6wuYmDUxqH0ppAqkaFJaFN9nTMia
  4Cgf218gJ56qSUWZrgw6sw6aMA2GZAzB2E5j8fWUrzFnyBzHPfln4W4cj1cdx/3r78fCcQsxK2dW
  0PuJDItEraHW0Vleb6zH6brT4DjvFSRALYVrO/lvdbkT2lkMg3goY8JjPJa34jiapS0+3jmSMjqa
  3PWePTRTYG4uOeKkJJp1UCaj3GyGUgnYFXU+m05GqxFJbydhw+TdAAZc1MxjRqsRdgmJuK/JpTiO
  nL/7os9syk7WofPlpC+xoWCDyxwROrMOiapER0w8NhZo11GGA4I6j4UhNGE0AIfneUe6YUVjheMG
  2xJjU+0AACAASURBVFu6F1lxWdhXts9l6HdWbBZ+Pv2zI4/WYgsuJq6UKzE+czwe2vAQRrQf4dLD
  nqBMoEmHLuwToOHPPHivaafNdeEAxXdfHv6y1/dYM7fR3IiMqAzc0PUGx3t39LzDIwQTLgt3OPGC
  2gKM6jAKW85scczNcku3W1BvrMe8YfOaVUZ3vHVsBktOSg4WH1rs+N/O2/HQxofwzKBnYLVbYbKZ
  MD4r+CV+ZvaeiZ5JPQNvGIDB6YNxd5+70TG2o6M/h4P/bIs2kW1Q3FCMcFk4IsMikaJJwWcT/afZ
  tSZMxKPCo8DzPL4//j1u6XYLbunevHl91Qo1Htv0GPQWPXbM2IFOH3ZCTkoOeiT2CJhx0hxCJuJ2
  WCGTBv76jrEdcbb+LE2YJRD97dvpd8WFeeVZuGLjRprUn6UaZmaSiMfHO7cFSMSt8jqHALrDYlmf
  HX8HwHfNHioLkIgbLfTw+5pcCqAJuYTYeTvMNjPCZeEYlznOMcyciR9DZ9YhWZ3scNg1NcAD65Jw
  QGDIhOGUSSsm4YuJX7g0h5kTbzA1oF9qPxysOIhJ307ClC7U88q+m2U+WO1WyKVyxCvjXUI7Qlgr
  IlmdjJu73YxnBj3j8n6iKtHjs4XaQlzV5iocOX/EY8Rgc+PhgWDhFK1Ri0cGPIIR7Uc43ru1x60e
  24dJw2CxWWCz21BQU4DBbQejS3wXtItuBwB48xofKw43E2/hlGDpldwLuVW5MNvMUEgV+PLQl5Bw
  Erw28jW/Mz764pURrzT7M95QSBUOAR7YdiD6p/VHRrT/FMXM2EwU1BQgSZXkMBP/S4RO/MVfX8TH
  +z7GutvWNXs/vZN7Y0fRDlzb6VoMWUp5tCUNJR4dyi0ldCLO2yALMiYer4xHcUOx46EREnXhWU9I
  IKdtt7sO42Yx5/R0cqps6lilErBI6l3CKUKYiJ+qz0NMTOBlvrzBYuLCleOD/VyYLAwcx+HpQc75
  S9Ii03C2/ix0Jmpm1hnqkKxOxvO/Po9rOl6D/mn9ERtBoxQsNgvkUrlLOKXGUIP5f8zH7hJaQkjC
  SRwjFBvNjYgMi8T3N32Pbgu7OZr0fVL6uJwPFk7pFNsJp2pPOYblC2HhFABYceMKj+NLVCVixFcj
  cPC+g+idTMuNF9YXokNMB1jtVhyvOu4yz3RzM1MCERkWiVJdKeqMdUG5TY7jECYLg8lmQlFDEUa1
  H4W5w/z0cF8kKoUKnWI7IUwaFnhjN5RyJWIiYhD2ahhqn67F3G1zsfLmlRcl4H8m/737vwG3SVQl
  wmK34Fz9uZCJuN6iR01TDT7a+xGOzz7uM/zhj+eHPO+SXbL00FLMWDOjVcJUQkLasRmMEweoZv7h
  xA8Y+IXnBPKZmZT7/eyzzvTCKwR9BkzEt2wBDh92ToClVAImiX8nzoSqqNjuMSLUFx/+90P8cvoX
  ACTGykgT1q8HPt3/KdbkrQlqH+5DkxmpmlRMyJqAV7e/CpvdhuNVx5EVS06ZpWCxNMJSXSl4nndx
  4gAcAp4Vl4WclByHE9eZddAoNI4cYCbig9MHY+3UtQ4RZymGcco4SCVS/Lf0vxj+5XDHEGuLzQKe
  5yGX+O5QYnnkwuyWIm0RMqIyEBsR69Gj39pOXBOmgc6kc1lGLRARsggYrUYUaYsCjli8WGQSGQoe
  LrjopjYTh+2F22G0GoPKMb4U4TgOmbGZOHz+8EX1D7QUrVGLXot6YeKKiRiaMfSiBNwb7Pr8ZUQ8
  2BRDgATnle2vYFfJLry6/VWP3Mu2bWmgi1ZLsW9hip1wtXeZzDncOzISMKDOpxPXmXRI1aQiOjwa
  tVZafSWvOg+LDy72uv2KYyuwv2w/1uavdcx1YbQaYbKaIJMB6wvWY+3JtT6Pked5PPXzU3hp20uO
  zBRvvDHqDXxx8AtsPr0ZSaokvHPtO5jddza+PPwlFu1b5IjTnqw+CYPVAJlEBplE5vEw3NT1Jmy6
  fRMq9ZWw2q1oNDc6MlIAEmuGsJedOXGArsuXh77EtnPb8P2J7wEA/9zyT9h4m18hYudcuCIOE0dv
  2UgXExP3R2RYJD4/+Dk2ndrktePTG+GycBgsBhTWF/5pIt5Sfp/xO67Lug6rT64OaqTfpQwL44XC
  iRc3FKN/Wn9HamxrwVI2WzKWwBshE3EewTvxwemDHRP8vL/7fZeBFkK++cZzZXpfcyB8+SVglvju
  2GQZGllxWY6MhG3ntuGbY9+gtKEU6/LXoVhbjM2naA245UeXY9u5bcivyXfMAW20GmGymRwrnB+o
  8EwBY6zOW41NpzfhnV3vYP6O+R5LfjGS1cm4seuNmLN1DnJSciCTyJARnYFfzvyCB9Y/AKPViJyU
  HDz585OYt22eI9VOrVA7OpT23L0Hz139HOKUceia0BWv/PYK8qrzXDrUhJ2WmjCNSziFueysuCxs
  PLURbSPb4ptj38BoNeLd3V7GzLux4oYVGJA2wJHxcbjiMLae2+pTxFvbibPym2wmxIQHL+J6ix5l
  ujJHXv2lRoQ8Au2i22FV7qqLmkXxUmJmn5kALq5/oKUUPVaE32f8jj1378Fdve9qtf3+NZ14EDFx
  ABjTyblSaa2h1iP3khEV5SnaiRcSIHiedyydVK4rhy4sF/XGer/hFNYzzjoTC+sLUdNUg61nt+K1
  319D5486Y8xyKluRtghF2iIUa4sd2R9sQIjBasDZurM4WX3SZQ7uncU7HWL967lfMbP3TAxvPxyr
  T67GFxO/8Hk+JmRNwKGKQ7i1O3XCCW8Ko9WI2X1n48F+D+K93e9hQialeGnCNEiLTMP629ajX1o/
  hyhOyJyAl7e/jB9yf3Bx68IccOG0miw7BQAGpA1AobYQjw54FFvPbg1qcQGABuC0j2nvGMS15NAS
  9E3ti6szrvYQ8d8Lf8d3x79r1Zj4uMxxWHEDxeoD5V8zIuQRWH5kOeKV8S5zdlxqpEelQ2vS4ur0
  q0NdlBYxqsMo/OeO/7S64AVD26i2UEgVaB/Tvtl55v6IU8ZBJpH9dZy4nbdBHqQTj1fG4+PxH0Ml
  V4EHH9RyUoxBgyh3vEhbhJu+vwkAMGb5GHRd2BUWuwVGq9HrpOs6sw6Rikio5c5BMkUNRagx1KCq
  qQpHzx+FwWpA1wSaOKVIW4RdJbsQJgtziDgT7PyafCSpkzCs3TB8vPfjC8dvx6DFg/DadpqZrryx
  HKmaVMy5eg6+vfFbTOzsO6d3VIdR+Hj8x5iUTavgspsiNiIWRqsRKoUKD/R7AMunLHc6GoUGiapE
  j2HG915xr2OIOnPia6euxb/G/MuxjVDEheEU1tS8qu1VGJIxBA9ueNDvtRAinNjsQPkB3HfFfVAr
  1B4i/uimR7Fo/6JmXfOA3y2PwC3db8EHYz4I2lWHy8Lx8vaXMatP8HnCoYBdw+Hth4e4JC3HPTX1
  ckfCSfDh2A+9Jmi0aL/BbMRx3BiO4/I4jsvnOO4ZL+8P5TiunuO4Axd+Ag74pxTD4Adv3N/3fscD
  F+wDTRP201JV9cZ6h6ieraM5YqPCosCDdwyO4Xne4Z6FoxYbzY0wWo0orC9EraEWlfpK6C16pGpS
  oTfr0WBqQL2xHgcrDmJQ20Eo1hY75k4GaEbA9Kh0vDTsJSzavwiAc9DIV0doEh02tWX/tP4+VwBn
  hMvCcX/f+x03OHMryepkl5Xgb+52s0Pg1Qo1EpSeeY5to9rigb4PAHA2Xa/rfJ3L5EjCOSCKtEWO
  /O6M6Aw8NfAp9EjsgfevfR8ZURlYNH4R7sm5J+C1iZDRIC47b8ehikPok0xZMO4izgYF7SzeGXCf
  zeXhAQ8HPW0si8k/NeipVi9Ha3JNh2vw6IBH/S4DJxI67u97/0VPVeyLgHvjOE4C4CMAIwGUAdjL
  cdwanufdF1HczvN8cEPCQDHxYJ04I04ZB9T4X7KMUdpQimFfDkPBw5S1oTVpHaLKwjEqhcohEhab
  BZO+nYQibRGOPnDUEU4x28zQmXXI+jALxQ00f0apjlY4HtVhFFbnrXasC2i1W9E7uTfyqvNwpu4M
  jDb6vlpDLdQKNfqk9EFJQwkaTA3YX7YfU7pMwS+nf3HM2XyxTcd20e2QGZsJCSdxEXEh3RK7+Ryc
  wxZx8DXIJEwaBhtvg8lqwvqC9RjbaazjPZYjrQnTYO2tvjtu3WFiXawtRlR4lKODUSjiPM+jorEC
  745+1+eyaf8rWKpeKLIlmkPH2I54f0zzJxgTuXwJxon3B1DA83whz/MWACsAXO9lu2a1e+wIbipa
  ISwHOhgnXmOocVmlRWvUwmq3uszkJ+wsK9OVYUPBBkfaGxNxjYLS0dh8xrERscirzkO76Ha4Lus6
  NJobMWrZKMdcCFlxWRjdcTQ2FGxwVBp1xjoo5UrIJDL0SOyBN3a8gRlrZmBYxjD0Tu6NA+UHWjQD
  nkqhwuZpm6Ez6XyK+OD0wfjn4H96/Txz1r4EiuM4JKmScLzqODaf3oyxmWO9btcc2BTD5/XnXea8
  EIp4raEWSrkSj1/1OBaMX9Di72wJrEx/pea9yF+DYEQ8DUCx4P+SC6+5cxXHcYc4jlvPcVzXQDu1
  X4wTvzCZUYOpAadqT6HNu77jmbr/b+/eg+MqzzuOfx9Jq8tKsiQbS7YsMNgmGIiTGIhDggsmDMQ1
  AYJJEyBDEjpt3AvkQppgknRwOp2S5I80zKR0SEs7KUnjTOkEnIEQx5MsGXdC4tZOICARYxvjOzbI
  8kW+SKunf5w965Wsy0p7vMer/X1mNOyePT7n7Ivn8aPnvOd5Txymt683e+MwnN2S230uN4h3Huhk
  Wl2wWMDyHy7nrWNvBUG8ppGeEz2kPU3vl3qZ0TCDrgNdfH/59/nwJR+msbqRvnQfv/jEL4AgiC+/
  eDmfefYz2Z7FYTACWDRrEQ+tf4g1d6zh3vfcy8IZC3nuteeoqqia0OPWobBL4UhBfDRhmWW0mQAP
  LH6Au5+6m0RFIpIpdmGwHvr4fW4QL3SRhSiNNBVVJG5RFWf+DzjP3XvN7I+BJ4FhlyRftWoVAMc2
  beT1+R3wwfxP0lrfSnNtM4dOHGL7we3sOryLW394K49+8NFBgQBOlUwOHj9Ia31rduWT3MfWBwXx
  /Z1cMv0SOg908qOuH9Fa38ryi5dTVVHF79/4PW31bdQl6phWN42X97+cPV9LXQtNNU00VDdQn6jn
  bdPeRntjOysuX5HtkNh9rJtkVXCub1z/DVYuXpl9gGB6/XQ27d1UcLBqrGnk8MmRM/HRhN9ltH9E
  Pv7Oj3Pf2vu4fs71BV1nqK6qjt39u9l/dP9pQfzZV5/l+sev58YLb4z8Tv5EjbXai0iUUqkUqVQq
  r33zCeK7gNzUqyOzLcvdj+S8/omZPWJmU939raEHC4P4N1/vYv7CBXldZGjl4pW01bfReaAz+1DL
  k11P8sX3ffG0IB72E+k+1s2ew3t48pUnAU5r5h/qOtDFzMaZpD1NdWU16YE0111wHanXUmzcszG7
  GnZYuw2z15baFjqmdGBmvPiXL2aDc/g4OQTllFmNwS8vtVW1g54Aa6xu5PWe17OloomqqawhPZDm
  0IlD4w7iYYfC0eq9jTWNXDP7msjmH+dm4rk3XJOJJNt7tnOg9wDrtq7jzgV3RnK+Qo00FVXkTFiy
  ZAlLlizJvv/qV0demSufIL4BmGdms4E9wO3AoC5BZtbm7vsyrxcBNlwAzzXe2SkQ1KM7pnTw612/
  HrSmYNpP700d3vzsPt7Nz7b8jHVb1wGw7eA2OqZ0sPPQTuoT9Wz48w2sXLeSrje7WDhjIV943xeY
  npzOoROHaKptorGmkb6BPuY0zwHgwWse5PZLb8/OL26pa8muvnJBy6kG9Nm2m1V1dB/vzi4IO1RD
  dQO7D+/m0umXjmsshgpXZTnQe2DcQTxRmeC5Tz5HfXX9qPs9vPThvOdVjyVsMby/d/9pNXGAh657
  iKl1UyPppBcFlVPkbDVmTdzd08A9wFrgJWC1u3ea2Qoz+1Rmtw+b2e/NbBPwLWDMno0TmZ0COR3o
  TvRw+czLmVo3ld6+Xtydl954KbtfmIn/asevBt3g3Na9jTktQUBOJpJc0X4F7Y3tdO7vZGbDTK5o
  v4LZzbNZ0Bb8lhCWGMI68GUzLxvU6a65tnnYGnFYBmiubQ7KKSM8cdhY08jeI3sjeTKtsTooqUxk
  etnVs68ec5+Lp18cWR+J0TJxCNqRfuwdH8v+f4hb7kNaImeTvKKouz8LXDRk26M5r/8JGNf0gQHr
  JzHOTBwGtxG99vxrObf7XHr7enl689Pc9IOb8AeDRkxhTfy+tfcNWm1l28FtzG2Zyy+3/zIbMJpr
  m9nfu3/Y+mtYYhipfeZHLvnIsMtVhZl4U23ToBubwx1/wAci6RER/oNTCnOEw2X3jvcfP60mDtH3
  lyjU6ttWj3s2lUgxxNaKdqKZ+IyGGWzv2c7B4wdpqm3KZnRDF47InUt+oPdA9vW2g9uyTxqGAaOp
  JigRDF2PD07PxIcaqVF8W0MbEATpvUf2jhjEw+NPqS48iIfZfCkE8WQiyZ4je9h7ZO+glVqyQfws
  mZUSGu+CACLFEl8DrAlm4nNa5lBXVcf6HetpqmkiWZXk6Mmj7D0SrPgQtkQNyym5Kq2Sbd3bOL/5
  fAzLBozwV+UrO6487c+EgXG80+rChRemJYNpi6OVUyCabm3hzdGJ9KMutrpEHS/se4FlFy4btGZh
  +A/Q0PUSRWR4MQbxNImq8QdxM2PZhctY//p6mmubs5l42DkwnLUytEnWns/v4Ya5N7Dv6D5mNsyk
  LlGXDaz11fUkE8lhm92EmXI4u2Q8/EGnvSGoIY+ViUdRE7/q3GB9x1J4ICV8jP2ud9w1aHs4Tmdz
  kymRs0msmXh11cSqOe/teC/AoHLK5reCx+t39Ozgs89+liMnj7D6ttU8fefTQDCNLszyzkmeQzKR
  zAaMB695kJ6VPcOcKWjUf/IrJyfczSw852g1cYgmEx/a3OpsFnYlXHze4kHb2xvbOfmV4dvwisjp
  4u0nPsEbReFc5aaaU0F89+HdVFVUsXHPRh7Z8Ei2Zj6nZQ7T6oIWkGFAnZacRl3VqUzczEZtSlNI
  O8pzm4KVcsasiUcQxC+beRk7P7ez4OMUw7yp89j5uZ2D1vsMRdn+U2SyK8lMPLwRZmbZ9fD2H93P
  3Ja5vPrWq/QN9PHS/pdorG7komkX8czHngFO/Yo+rW7aoEz8TApXKBnpXMlEkgqriGwFk1lTxl/2
  iUspXavI2Sq+VVQnWBOHoKPcE3/yBO+Z9R6SiST7ju4jUZmgraGNLd1bANh7ZC/zps7DzFg0axEA
  6YHgoaC6RN2gmviZNFYQNzMaqhvO+u54InJ2im+KoaUnnIkD3HbJbUDmMe2D25menE5jdWM2iL+7
  /d3ZaX6h3P4XxcrE57bMBRi2bBBqqG6IZS1BESl9JTfFcKhkIslrB1+jtb6VKTVT2PLWFhaft5h7
  F9172r65j04vm7csu6LNmVSXqGPhjIWn9XbJ9dFLPxr5ah8iUh5iy8SxNNWJwk+fTCTZdXgXC2cu
  ZErNFHYd3sXfXft33PXOu07bN7eJ0Zev/nLB587XxhUjL5AM8M0PjL24sIjIcGLJxN2Bin6qJ1gT
  zxWWRFqTrdmSxEhZr5oYichkE2MQn9hj90OFQbytoY2W2qBN7EhP+13QfEFBCy+IiJxtYimnpNNA
  RT+VFl0mfve77qa9sZ0b33YjC1qH73z3veXfG7Q8m4hIqYsxiKcjWfX57a1vp/OvO7Nzx0frP10K
  jaFERMYjlnJKNhOPoLWnmTH/nPmFX5SISAmKJYgPDIBFlImLiJSz2DJxj6gmLiJSzuIrp5gycRGR
  QpV8TVxEpJzFVhNXJi4iUrh4M3HVxEVEChJLEO/vd6hIq5wiIlKgWIJ4X/8AuFFh8bUzFxGZDOIJ
  4uk0uLJwEZFCxRLET/b3YwO6qSkiUqiYyinKxEVEohBLED/R34+5MnERkULFMzslncaUiYuIFCyv
  IG5mS82sy8z+YGb3j7Lfu82sz8yWj3a8vv60MnERkQiMGcTNrAL4NvAB4FLgDjM7rfdrZr+vAT8d
  65gn0/0YysRFRAqVTya+CNjs7tvdvQ9YDdwyzH73Ak8Ab4x1QGXiIiLRyCeIzwJ25LzfmdmWZWbt
  wIfc/Z8BG+uAfel+1cRFRCIQVTr8LSC3Vj5iIF+1ahUvbnmT/q09pFIplixZEtEliIhMDqlUilQq
  lde+5u6j72B2JbDK3Zdm3q8E3N2/nrPP1vAlcA5wFPiUu68Zcix3d/7jmU7+InUrvd/oyvMriYiU
  LzPD3YdNjvPJxDcA88xsNrAHuB24I3cHd5+Tc7J/B348NIDn6kunsXjWaBYRmVTGjKTunjaze4C1
  BDX0x9y908xWBB/7d4b+kbGO2Zfup0I1cRGRguWVDrv7s8BFQ7Y9OsK+fzrW8fqViYuIRCKeBljp
  fio0T1xEpGDxPXavTFxEpGDxBPEB1cRFRKIQ26IQFcrERUQKFlM5pR/TIskiIgWLqZySplKZuIhI
  wWIqp6iLoYhIFGLLxDXFUESkcLHVxCtN5RQRkULFEsTTrkxcRCQKsdXENcVQRKRw8WTiA2kqNMVQ
  RKRg8U0xVE1cRKRg8T12r0xcRKRgsZVT9LCPiEjhlImLiJSw2KYYqiYuIlK42DLxygpl4iIihYov
  E1dNXESkYMrERURKWHyzU1QTFxEpWDxBnH4qNTtFRKRg8WXiFcrERUQKFdONTWXiIiJRiG12SpUy
  cRGRgsUSxAdcs1NERKIQ4xObCuIiIoWKrSaucoqISOHyCuJmttTMuszsD2Z2/zCf32xmvzOzTWb2
  v2b2/tGON+BplVNERCIwZjpsZhXAt4HrgN3ABjN7yt27cnZb5+5rMvsvAH4EzBvpmMrERUSikU8m
  vgjY7O7b3b0PWA3ckruDu/fmvG0ADox2wDR9JCoS471WEREZIp8gPgvYkfN+Z2bbIGb2ITPrBJ4B
  Pj3aAU9yiGTllPFcp4iIDCOyG5vu/qS7XwzcBDw+2r7H6aGlrimqU4uIlK18CtO7gPNy3ndktg3L
  3debWZWZTXP3N4d+vmrVKnr+p5PfbP0hqbmVLFmyZNwXLSIymaVSKVKpVF77mruPvoNZJfAKwY3N
  PcBvgDvcvTNnn7nuviXz+jLgv9x97jDHcncnuXIej1z1Ez5504V5fiURkfJlZri7DffZmJm4u6fN
  7B5gLUH55TF37zSzFcHH/h3gNjP7OHASOAp8dLRj9lX2ML1R5RQRkUKNmYlHejIzHxgYoHJVDc/f
  fJhFl9cU7dwiIqVqtEy86E9sHus/Bl5ByxQFcBGRQhU9iPcc78FONJNMFvvMIiKTT/GD+IkeON6k
  IC4iEoFYMnFXEBcRiUTRg/h9P/08fqyZ6upin1lEZPIpehD/q4WfJ/ncw9iw91lFRGQ8it5K8Lr2
  W2k4XuyziohMTkXPxHt7UT1cRCQiCuIiIiUsliBeX1/ss4qITE7KxEVESljRg/jSpdDaWuyziohM
  TkWfnfLmm1BbW+yziohMTkXvYljM84mITAZnVRdDERGJjoK4iEgJUxAXESlhCuIiIiVMQVxEpIQp
  iIuIlDAFcRGREqYgLiJSwhTERURKmIK4iEgJUxAXESlhCuIiIiVMQVxEpIQpiIuIlLC8griZLTWz
  LjP7g5ndP8znd5rZ7zI/681sQfSXKiIiQ40ZxM2sAvg28AHgUuAOM5s/ZLetwNXu/k7g74F/ifpC
  J5tUKhX3JZw1NBanaCwG03iMLZ9MfBGw2d23u3sfsBq4JXcHd3/e3Xsyb58HZkV7mZOP/nKeorE4
  RWMxmMZjbPkE8VnAjpz3Oxk9SP8Z8JNCLkpERPIT6RqbZnYtcDewOMrjiojI8MZcY9PMrgRWufvS
  zPuVgLv714fs9w7gv4Gl7r5lhGNpgU0RkQkYaY3NfDLxDcA8M5sN7AFuB+7I3cHMziMI4HeNFMBH
  uwgREZmYMYO4u6fN7B5gLUEN/TF37zSzFcHH/h3gb4GpwCNmZkCfuy86kxcuIiJ5lFNEROTsVbQn
  Nsd6YGiyMbPHzGyfmb2Qs63FzNaa2Stm9lMza8r57AEz22xmnWZ2QzxXfWaYWYeZ/dzMXjKzF83s
  05ntZTceZlZjZr82s02Z8fiHzPayGwsInkMxs41mtibzvizHoSDufsZ/CP6xeBWYDSSA3wLzi3Hu
  uH4IZui8C3ghZ9vXgS9mXt8PfC3z+hJgE0F56/zMWFnc3yHCsZgBvCvzugF4BZhfxuORzPy3kuC5
  iqvKeCw+B3wPWJN5X5bjUMhPsTLxMR8YmmzcfT3QPWTzLcB3M6+/C3wo8/pmYLW797v7a8BmgjGb
  FNx9r7v/NvP6CNAJdFC+49GbeVlDkOB0U4ZjYWYdwDLgX3M2l904FKpYQXy8DwxNVq3uvg+CwAa0
  ZrYPHZ9dTNLxMbPzCX5DeR5oK8fxyJQQNgF7gZS7v0x5jsU/Al8Acm/MleM4FERdDONVVneVzawB
  eAL4TCYjH/r9y2I83H3A3RcS/DbyR2a2hDIbCzO7EdiX+Q1ttKnHk3ocolCsIL4LOC/nfUdmW7nZ
  Z2ZtAGY2A3gjs30XcG7OfpNufMysiiCAP+7uT2U2l+14ALj7IeAZ4ArKbyyuAm42s63AD4D3m9nj
  wN4yG4eCFSuIZx8YMrNqggeG1hTp3HEyBmcZa4BPZl5/AngqZ/vtZlZtZhcA84DfFOsii+TfgJfd
  /eGcbWU3HmZ2TjjjwszqgOsJbtiV1Vi4+5fc/Tx3n0MQD37u7ncBP6aMxiESxbqDCiwlmJWwGVgZ
  9x3dInzf/wR2AyeA1wl6yrQA6zLjsBZoztn/AYI77p3ADXFff8RjcRWQJpiVtAnYmPn7MLXcxgNY
  kPn+m4DfAX+T2V52Y5Hz/a7h1OyUsh2Hif7oYR8RkRKmG5siIiVMQVxEpIQpiIuIlDAFcRGRwdxk
  ZwAAAB5JREFUEqYgLiJSwhTERURKmIK4iEgJUxAXESlh/w+FKeZ+iKIc4QAAAABJRU5ErkJggg==
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795924e810>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzsXXd4VNX2XTdlaiYzkx5CEkoSCL33EilSBUGxAQrWp/Ce
  vTyeiiggvmdXBJ9dFHmKitIREASk95KQUJKQEFImk2RqZjJzf39szp2aZBKiCf7u+r58k5nbzr33
  nHXW2XuffTie5yFChAgRIq5PBDV3AUSIECFCROMhkrgIESJEXMcQSVyECBEirmOIJC5ChAgR1zFE
  EhchQoSI6xgiiYsQIULEdYyASJzjuLEcx2VxHJfNcdyzfrZHchy3keO4YxzHneQ4blaTl1SECBEi
  RPiAqy9OnOO4IADZAEYCuAzgIIA7eJ7PcttnPgAZz/P/5DguCsBZALE8z9f8YSUXIUKECBEBKfF+
  AHJ4ns/jed4OYBWAyV77XAGguvq/CoBOJHARIkSI+OMREsA+CQAuuX0vABG7Oz4CsI3juMsAwgDc
  3jTFEyFChAgRdaGpHJv/BHCc5/lWAHoCWMpxXFgTnVuECBEiRNSCQJR4IYAkt++tr/7mjsEAFgEA
  z/PnOY67CKAjgEPuO3EcJyZqESFChIhGgOd5zt/vgSjxgwBSOI5L5jhOAuAOAD977ZMJYBQAcBwX
  CyANwIVaCiL+8Tzmz5/f7GVoKX/isxCfhfg86v6rC/UqcZ7nHRzHzQWwBUT6n/A8n8lx3EO0mf8v
  gFcBfMZx3HEAHIBneJ4vr+/cIkSIECHi2hCIOQU8z28C0MHrtw/d/i8DcFPTFk2ECBEiRNQHccZm
  MyEjI6O5i9BiID4LF8Rn4QnxedSPeif7NOnFOI7/M68nQoQIEX8FcBwH/hocmyJEiBDRYtGmTRtw
  HPeX+GvTpk2D719U4iJEiLiucVWlNncxmgS13YuoxEWIECHiLwqRxEWIECHiOoZI4iJEiBBxHUMk
  cREiRIi4jiGSuAgRIkT8gdDr9ZgyZQrCwsLQtm1bfPPNN016/oBmbIoQIUKEiMbhkUcegUwmQ2lp
  KY4cOYIJEyagR48eSE9Pb5Lzt6gQwz59gGHDgDff/NOKJEKEiOscLTnE0Gw2Q6vV4syZM2jfvj0A
  4J577kFCQgIWL17ss39jQgxblBI/fBhwOJq7FCJEiBDRNMjOzkZoaKhA4ADQvXt37Ny5s8mu0aJI
  HADk8uYugQgRIv5q4Pxq2IahMWLfaDQiPDzc47fw8HAYDIZrL9BViCQuQoSIvzyay9oSFhaGqqoq
  j98qKyuhUqlqOaLhaHHRKSKJixAh4q+CtLQ01NTU4Pz588Jvx48fR+fOnZvsGi2OxGWy5i6BCBEi
  RDQNFAoFpk6dihdffBFmsxm7d+/G2rVrMXPmzCa7RosjcaMR+Pjj5i6FCBEiRDQNli5dCrPZjJiY
  GMyYMQPLly9vsvBCoAWFGFZXkwpv3RqIjQUOHfK7mwgRIkR4oCWHGDYU13WIYWUlfer1gELRvGUR
  IUKEiOsFLcacUlFBnyYT4OXMFSFChAgRtaDFkTgANGEIpQgRIkT8pdFiSPzYMSAmhv43mcSZmyJE
  iBARCJqdxGtqgEuXgB9/BG67zfW70dh8ZRIhQoSI6wXNTuI7dwL33APs2weMG+f6XbSLixAhQkT9
  aHYSr6qiiJSqKiAuzvW7aBcXIUKEiPrR7CRuNgPFxYBUCoSFuX4XlbgIESJE1I8WQ+IqFRE5g6jE
  RYgQIaJ+tAgSdzp9SVxU4iJEiPgrYOnSpejbty9kMhnuvffeJj9/QCTOcdxYjuOyOI7L5jjuWT/b
  n+I47ijHcUc4jjvJcVwNx3GaQM5tNtNneLgr+ZVGIypxESJE/DWQkJCAF154Affdd98fcv56p91z
  HBcE4H0AIwFcBnCQ47ifeJ7PYvvwPP86gNev7j8RwGM8z1f4O583GIm7K/HYWFGJixAh4q+Bm2++
  GQBw8OBBFBYWNvn5A1Hi/QDk8Dyfx/O8HcAqAJPr2P9OAAEv5+yuxBmJR0YCVmugZxAhQoSI/78I
  JAFWAoBLbt8LQMTuA47j5ADGApgTaAHclXhQEBAaCkREUFZDESJEiGgKcAuufX02fn7LzJTY1FkM
  bwKwO1BTCkBT7AFS4gCpca1WJHERIkQ0HVoqATcFAiHxQgBJbt9bX/3NH+5APaaUl156Sfg/IyMD
  ZnMGAFLiAC3PFhEhmlNEiBDx/xc7duzAjh07Ato3EBI/CCCF47hkAEUgor7TeyeO49QAhgOYXtfJ
  3EkcAP79b4pKYUp8wwbg99+BnJwASiZChAgRLRwOhwN2ux0OhwM1NTWorq5GSEgIgoODaz0mIyMD
  GRkZwvcFCxbUum+9jk2e5x0A5gLYAuA0gFU8z2dyHPcQx3EPuu16M4DNPM9b6junO8xmmm4vDTPj
  QOEB9OlDJhXRnCJChIi/AhYuXAiFQoHXXnsNX3/9NRQKBRYtWtRk52/25dn69QNmzwZK2y7F/P1z
  wc/n8cUXwLZtwJdf/mlFEyFCxHWK/+/Ls7WIGZtDhwIJMTTTx2gzikpchAgRIgJEiyBxhQLQW/UA
  gGNXjokkLkKECBEBosWQeImpBADw3NbnMOO0WoxOESFChIgA0OwkbjQCSiWR+KQOk7Dn0h6YHVWi
  EhchQoSIANCsJG63Uzx4WBhQai7FXV3uEraJJC5ChAgR9aNZSbyykjIWchwp8bbatjj/j/MI5kJg
  sf41vM0iRIgQ8UeiqafdNwgVFUTiAFBqKkW0IhpttW0hC5bD4qwCoG7O4okQIeI6QHJyMjju2nOj
  tAQkJyc3+JhmJXG93kXiOosOkYpIAIBWGgkLdBBJXIQIEfUhNze3uYvQrGhWc0pFBaDW8KiwVsBs
  NyNMQotsamWMxEWIECFCRF1odhKvabULo1eMhkqiQhBHxYlURKI6WCRxESJEiKgPzU7iknA9ssqy
  oJa5TCeRigiRxEWIECEiADQ7ictUFhhtRqilLhKPVkaiOkiH6XXmQxRxPeOll4ArV5q7FCJEXP9o
  dhIPVdDSPu5KPEKhAaSVWLmyuUom4o/G6tVAVlb9+4kQIaJuNDuJh8gpc627EtfI1ICssrmKJeJP
  gMVC0UkiRPzR0OuBJUuauxR14/Jl4P33G3dss5K4TgeEyH2VuFqmBqQiif+VYbFQJy5CxB+NpUuB
  f/6zuUtRNxYtAv7+98Yd26wkXlYGhPpR4mqpqMT/6hBJXMSfhY0br/0ceXnAggVN78cxGIDFi4F1
  6+i7dypxsxl47bW6z9HsJB4kvarEpZ5KvHPvSsjlzVUyEX80RBIX8WfhwoVrP8fq1eSM37Pn2s/l
  jq++An7+GXj00aspub1MjD/8AKxaVfc5mpXES0uBIMlVJS5zt4lroNBWwG537Wu3A4cO/dklvD5w
  7Nifv7D0vn2+qsEd+/cDDof/bU4nJTgTSTxwHD5Mz3vtWuCzz0gAiQgMNtu1nyMzkz4bm5jPZKKV
  ysrLXb/l5gKffgo8/TTwxBNAmzZAodsS9IWFwIcfAv/4R93nbjYS53mqiM4QM9pq2qJDZAdhm1qq
  RpWtEk4nUFNDvx04ANx3XzMVtoVjzpymVwj1YeDAuq95yy3UufgD63BEEg8MFy8CffoQkU+bRk66
  H39s7lJdP2DEey0ruGVlAW3bNp7Et20D7rkHWLjQ9dsjjwDt2wPjxtH3hARycDI88QQQEUFtqS40
  W+4UoxEIDQXsvAULMhZgSvoUYZtapkZlNZlTzp4FOncmwjcam6u0LRtVVfUrcauVskbGxl779Vhj
  OH0a6N0bPmavmhqgqIgqZO/e/ssCuIaOBgOppchI330LC6nMIc2a5ad5sWYNEBRE5J2WBowaRe9c
  RP1wOsl0FxREo3mJJPBjCwuBmBjiqawsYNiwxo94CwqAAQPIPHLTTVSW3bvpd4WC9klIAH79lcro
  dAKbNxP/hYfXfe5mU+JlZUBUFGCpsUAe6skCaqkalVYi8S5dgA0byPRiMjVTYVs4DIb6K9eDDwJx
  cU1zPdaZPvII8MILvtuLi6kSug8N3WEhC5qgxJctA+bN87/vtGmkYv4/Y98+YNYsIoCOHQGVit65
  iPphMpHIUCgaTsBjxwKbNhH3OJ1AYmLjlXhhISnuUaOAl18GXn0VePJJT4IeN47MkC+/TIr9oYcC
  E13Npm8YiZvtZihCFR7bFKEK2J12yBR2AKH47jugXbvrV4lbLC61arNR/nSepx6XLU/XENhspCwc
  DkAq9VXiFgsgk9F1GA4cuPb7YGDk63TSsH7+fCoHUzmMvGsjcd3VjArnz5Miyc8Hzpzx3Y/n6ffi
  Yvp+5QpV+vqeV2OeaUuG0QjcdRcp8vR0ega1PduWCquV6kdQE8jGhrxfg4E6Pbu9YQSckwOcOgVc
  ukSZVjt2pDZV1zmsVhqB+kNhIS0I/+KLtR9/223011A0mxLX6wGtFrDYLZCHeCpxjuMQLg2HVE1h
  hps2URylyUTEcb2hSxcXEY0aRZW5Vy+ycQ4b1vDz9e9PncLQoUR03kpcoSDnlzuaMjSqooLMG7Nn
  AykpNExMSQGOH6ftdZH49u1A9+5AfDyR06OP0n7MceSO4mIyAZWV0Wd8PNn/60J5OS3391dao9Vo
  BNRquvdhw65PJX7PPa4wumtFt25EroGgqoo6vfoI2Btr1lAdZ3UzPZ2ESl316q67gMGDgREjPP96
  9wa++ILMJX8Emo3Ea2roIflT4gAQpYhCiLoUMTEUJ8leABuKX08oKXH10MyWefo0sHJlw8OfsrLI
  YVhTQ8M8q5X+Z5WL2au9Q5UqK/2rIJ4P3OHjfu4BA8izvmkTEcqlS8D339P2wkIgOdk/ia9ZQ58J
  CUT6q1eTEtfpPCMueN5F7GVlrkbLOsPa7oMRhU7nu+16hdFISxi+/DIwciSRUkNs4uz+3f/+LLDr
  nT9fu5BoaB3Mz6fIjkDAlHh9BOx9jR9/BKZOpTqclUVKXCqtvSOoqgK2bqV9L170/GMhgn85Enc6
  geBg/zZxAIgPi0dQeJEwlGFgJhWOA37//U8qrBt4nhytLGomkP3NZhdBdelCnzfdROFDer1nxzRz
  JnDrrbWfb8sW4MYb6f/0dJciY0O5bt3ou7uzkVU8tgAHg8NBxD5jhufvPXpQTKw7OI6Gep9+6rki
  E8eRIp82jcqWlUUzz8aPpyGpd+Pcu5c+a+SXkZzMIyEBOHIESEoCjh6lbZ9+SuUaMYKcnaWl1JjC
  w2sPrZs9m46ZPZu+s/2cTvIF1PVMAwHPk6IKVAE2JUwmGl0wBKrEp04F7r+fhvBSKdlYg4Lo7623
  /rjyAi6z4ZQp9A7z8vynWeB5GmEFBQHffFP/eauqyDQSqDnJYACkUYWQSPmAlfjkyeSUnzGDrnPs
  GLX5utT8xo3AkCH+nZAZGfSZlBTY9RuKZiNxRiC1KfF4VTygIhLv4Io+9HBuBvLSmxoWC9lpAx0R
  2GxEJKWl9N1qBb77jpwa7F7cK+TPP7sUrT+UltKQ7bffqEIzRWa1kso9dYq+V7pNeK2sJCVnMHiS
  akkJkf3atZ7K7vhxKqP7PQOkmj//3JPEAZrJtngxEWdODhH40qXU0XnbutlzODYyAf87/T/cfLOr
  I1i7lrZ9/jkpap4H/vtfOm9hIZlh2PHeOHiQyu1wEPmz/fLzqRxbt3qq84bi+HHqbGobCfyRYEqc
  IVAlvns38MknZFqLjQW+/poU5u7dvua2pgarfxs3klgrK/MfUmoyUb389lsyOdQH1jkHSuJVVcDv
  A1vD2u7bgJR4cTG1LRZSeOoUzU8ZPrxuJf7jj9Rh+YNEQnVZ/QctVNasJB4c7N8mDpAS55VE4mo1
  PVCNhhor89i6K/GcnKaLvgCo4U+Y4Ksk3ZVvIGBEzSqfyUQ26yFDSIHEx3tWSPcXfe+9FIIEUCX/
  739dBKrREEGNHEnbV6+maJERI+h7RQUpH5mMyhwdffV5u3U+hYU0yhk5ksrj7jjW6Wj4vmmTq3y9
  egEnTgDZ2b6qXqOh6xUW0rCR44Dbb6fK7x7n6t6QC6oKcMstZHq57TbqhIqL6RrsvqKiPEmcPUej
  kWKn//UvelcXLgCpqa5jLl8GRo8mFdWrF53vWmyyLC7bXUTcfjuV/cMP/R+j19PzfeONxl+XXTMQ
  Jf7661Se5GQqb+fO9HtkJBGM2UzlGTCASDYpiUZz7qaJK1fovgAyAzz3HI0e2XnffNO179q1rt+9
  p4az8k2YAPTrR//7I3EW4DBuHLXnZ5+l8/3tb0DfvhRVBQDvvUfROez9z5tH+/lLV3333WTGcC9H
  jSbbh4BLSmjkyt6P2UzPY9IkajeJifQ8xo2j5+9tkrFYyD+VnEwRdJMm+Zblz0Czm1NMdpN/JR4W
  jxrFZYEsTp+mCnjwID18gIZoDDt2NK1K0unoxXiTdUNJ3ExZBYTKxzzrwcHAuXPknHQncXdy/OUX
  VwPbu5ciTCoqyCGs0dDQPj+fth8/TqaYLVuAd94hAtm0iZRDeTk1fI3GsyExwv3mG2pImze7tpWW
  Ah98QM+7sJBIfu9eYMwYYMUKKoM71GoihoICoFUr+m3JEgoP3L6dvjudnuRjspnQpQup9fR0ajgv
  vUTXkMloH3cST0+nkY3VSmW9eJHu98IFuiYzIUVFUae2dSsRTXo6cPPNLnt8Y7BmDZEh6+hyc+m+
  3nuv9uxzJ0/Sc3z33WuzQweqxA8epNl/t91G/zM77Z499AxCQmhySXAwlW3XLiL0//3PdY4jR4gs
  7XZ6d6+9Rp3Bb7/Ru9m61bXvsmWUWOrxx+l87qiqIoJctYquDdRN4mFh1OH/+980SvjiC1LA7Hq/
  /UYx1Kwd2WxUnh07PM93/jzVz2+/dZUDAHh5qQ+J//gj1Vd2DZ2O7vvjj+m7Wk0k/uWX9N3bnLJ1
  K8WQ//Yb1cWmmIPRGDSrEkewDWa72WPKPUO8Kh52aZFAanI59YYsbC4tzTMqI9Dh1auvBuYUYZXF
  247nbr7wh08/pQgUpnhrI3GAPhMS/CvxO++kYxjpFRa6hqQajS+J8ryrgcbG0n5MeV66RA3fncT3
  7QPuuIOuL5ORTfvnn2mbUkmEW1xM12VkL5GQnTU/n2aSuSM0lM5z9qzLgRMcTA3ZYqH7rqykzoTB
  bKeHI5fTe506FVi+nD4ZoqOpIeXl0XmVSlLWP/9MJqmsLJfjiSEqCli/ns7588+0beJEIiX3Kdhz
  5xIRZWR4/t10E416MjKIFHNzqQzDh5MqLi4mopw8mc5bWupSfgzbthHJTJ5Mz+bYMap758/DB//+
  N5HWgAGeZOh00ixlFo7KUJsSLyuje01Pd9WXlBQiyE6dqM2EhtK+4eGkIO+8kzqoRx+l6d2ZmTSy
  OXeOnmtQEO2TnEwdOXM2V1WRWeauu0ixsnrOYDDQNSQSurZC4ap7J09Sx8bKHBVF/0+dCnTtSqPJ
  0aOpPMwsxqJESktddW/6dBJ0zD81dy69u86daVSSkeEaOThkpR6TzCZNovfzzDOuezIagdatPZ91
  bCwpcMDXnLJ2LflakpP9T1T7sxAQiXMcN5bjuCyO47I5jnu2ln0yOI47ynHcKY7jfq3vnE4nYJeU
  IkoRJayt6Y74sHjYJEUeZBUW5rJrxsSQKYJNU2WKtL4QxO+/J5VSH1jl8VYP9SnxLVuoAbOKUReJ
  A1RJ3O28TIGuWkXXYJ1GYSHtp9cTGSuVRJLuYE4VRtZnz9L3/Hxq+Fqt637Wr6fzMxNUp06uzo1V
  yG7dPEkcIPLaswc4mDALhmpPJtFoaMTk7oXnOFLJhYW+tnST3XP21oIFdG73WNmoKCLy7duBQYPo
  /jMzSTEOH07PYe9eyjvhfozTSWacsjIihYgIapzseRoMZLefO5fC3156yfVnswEPP0ymgE8+IYdr
  3770fI1G8hfExwNvv00k17UrmZjcsXYtKcf0dDJl/Pgj8NFHvnWvupomdrz+Ok302LfPta2ggESB
  o/NXOH7luPC7SuVfiTNCZNO3S0tdBDl0KI3MvJGRQfXk3XdJgbKFOljnePQodUQAmTSvXKE67O7I
  Uyh8SbyqytVhT59OiZ5Y3du6lfwegGcZ77nHNbHriy+A//zHNXpjUSJlZWQuyc+n9xkZSZ2qw0HP
  6u236TmuX0/v8pNP6Hw1khKBgH/6ier+Dz8ATz1Fx5vNvmYrb3ibU86edQUSNCfqJXGO44IAvA9g
  DIDOAO7kOK6j1z5qAEsBTOR5vguAafWd1+EA7KGliFZE+90eIY+APVjv0eiVShfhscpaWEjDQlZB
  S0ooprw2VFUFptoZ6bKKt3o12d1Z41m1yv/KNFVV1Nl4kzgrtzeJM3MBgz9FA1CjdFfiHOdrl2aN
  hpE4m7Ken+9S4vPnkxORdX5sxBAV5Soj6wzmziXSeeMNFzFzHJHpyjNf4OiVox7X12rpvr1Dqdh7
  YmVPTLx6r3bPm5VK6dzuk5RYhMPAgUTmDGfO0HnT04kUmAmH3UvnzqTKOnZ0qXSZzNUIWQcXH0/k
  4a7E776bSP/xx2mfXbvoHGFh1NB/+omeITNxeI+mANf779iRyr9qFXWS3vtt307v+MwZun/37ULs
  fMc1+OToJx7PyW73tcW7kziLDGJ1LSjI9dzdIZGQI/rWW+mcmZnka1i0iL537ep6H8wcs2CBpyNP
  qaxdibPydujgGtVmZlLbefNN6hQYiQcFud6xVktlS0igkWRREQm4L78kAcfuhT37vDw6z403Unn6
  9aN3OXw42bFskmJUV1MnuXgxveOBA+meUlKoPnibrbzhbU5xFzfNiUCUeD8AOTzP5/E8bwewCsBk
  r33uAvA9z/OFAMDzfL051hwOwBZaghhljN/t4dJwyDUGIWQMoAfM7OHuJP7DD1TZoqPJbvz887XP
  nDIYPJPM1AZvEl++nMwTjFQ//hjYudP3OBZDzQjebKZKxWyp7DuDN4kbjdQ4W7em71VV1Bi9SRyg
  z4ULXauWsEaj1RIhs+H1pUtE8IsWkSrKzaVOadYsV7J893LY7aRgJkwglTJggG8YIgBUVXvKQXb9
  du089/Mm8f37rz4LLxKvDfPmkcoCyPbfpw8ptFat6P4OH/ZsTBMnEmlOmeJp73Un8cxMGr5v3uwb
  P3/bbUSuISF0fjZTkr3Hs2eBnj19788dWVl07dGj6fmx9+i935o19LycTiIe9+2CSAixYl32OvBX
  DescR6p+6VLXviyhHGsXjNTcO8Ta8PrrpMQVCnIqv/UWdeDff+97/Mcfk8167VqXI8+fEmfx2Qzu
  o8DMTBIPTz5JHSIjcX9g8wnCw2nfJ56gTtd9u3sstzdsDrKf1YRUwGol81pSkst5C1BHXlISmBJ3
  T6bVlCS+r2Af7A57/Tv6QSAkngDAPTq24Opv7kgDEMFx3K8cxx3kOG5mfSd1OgFbaGmdJG52VHk4
  C5RKTxJnw/TCQlJGkZGuCQWrV/sP1WNDs/rgTeKsojAS1+n8O2oqKqiHz8wk50pVFak6Rh71KXGT
  iYb/ycmu8paV0TFVVfS/O4n36OGKQnBX4rm51KlFRbls4j17EnEPHUrnGj7cda6ICHKAOp1U1hEj
  XI6auXNJ/TDUOMkIWW5xy6sJ1yjFvfECviQeH3/1WQRI4mq1q2Po1o1su9HRpNQ6dqQG5d6YVCqK
  qFCpPIe7jMT/9z8y+3Tv7np27ggNJVEAEHlfvOipxN3tuO73B5DNe/58qqe33ELXDAoikwSbAbhl
  y1UziYOI6eGH6VhG4jxPtnohj3RwNS5WXERWmWvod+edpLbLyqgjX7iQriOTud5poFPc4+LonURF
  UX3r14/qCYsQcseAAXQvPXu66kdt5hT3mGkWvcTz1I46daLf9uzxHGF5IyGBBFRCAqnsWbM8R10J
  CfQsP/jA5UB1h6WGhpr2IAOqq+n5Tp/u8g0ALh9DfUqcmVN+/ZXat0RS9/6Bgud5DPxkIF7b47v6
  g5N3YmeuH7XohqbKnRICoBeAEQCUAPZyHLeX5/lz3ju+dHUWyZEjQKmkFD1rMaeES8P9Kr0rVyh6
  YeZMsnu522zDw1228eXLSUW6h7c5HNQIAyFxb5s4I/GUFNe5aiPxbt1oiH/77eQwjIyk67KJP+4T
  cfwpcaXSRUrMgcSm6bOYbwB45RWKGWd5UVijYQRjs1FD+f13SubDwM7t3nhCQ6kyV1RQRZXJyOa+
  ahVwww2e92iykS27yOA53KltRl58PI2MoqOpPA4nJRo32Bo3dzwhwXUPrOEGoohkMlKAd9xB7yCQ
  dK5z5pAJoXdves55eZ5mCnZttnrMSy/RNT74wNNn8fTTdJ41a2gobzQSKURHU2cKEHn+8gs5QRcu
  pPA6nQ7ICbGic3RnrMtehyR1EpQSJZRK6liff546pD17XBEwHEcjKW/nd32IjiYyqy/T3/PPe9bZ
  QJS4TEbPaeVK2n/ZMqqv69aROac2zJlDo6UePfxvf+ABl0PeX8pWi92CSHkkys16WK08Cgs5n7rC
  on14vm4lzswpzMdyrSrcYrfgsuEyHDy1hy+Pf4nnhz0PANixYwe2/7odey/txcHLdTvxAiHxQgDu
  c41aX/3NHQUAynietwKwchz3G4DuAGol8Q8/BJbnzENMLU9NGkIu4eqaauF/jYYIpn9/6smPHaMw
  JEbiKhWReJs2ZGPkOFc8utNJDQRwkTgzTzBidkdZGdnd9HpXL52Z6WpwADmeTp6kayYmEnlXVND1
  WSX/6SdSvjodkWpIiGdaVXdbNEBkHxbmihoxGKjhT5nicnqxIS7LQ8ycoazRBAVRJdPp6JkVFXmq
  Ilb5vIex0dFUbpZAC/AcdgplvOqQvGzwtEvVNpsyKoqeEwuPZENcvaVxKyW7kzgbQgdK4uxZSyS+
  nZM/9OpFfwC9l9xcXzNFQgIR6eefk7A4edK3PCkpZL559lkaJUycCDz2GKlwtm/fvnT+114jpT1/
  PtXxnJBqTEybiO252/HM1mdQ+EQhWqlaIT2dzCrr1xMpMjIDaI5BQxEVFVh+ERYbzqBQ+GYYrapy
  mQQBel6KdtyTAAAgAElEQVQ330z3PH26K2dQbeTMMHAg/dUG9/fjD5YaC1RSFSrMRhisFhQWKnze
  DVPiHFe/EmfPp7ycRnLXgme3PouvT36N6ppq9E/oj1Mlp1BVXYVwaTgyMjKwtnotsjOzsXvJbnSN
  7VrreQIh8YMAUjiOSwZQBOAOAHd67fMTgPc4jgsGIAXQH8CbqANOJ2AMyUO8ys+Y7SqYGo8OIcnI
  honu+XcLCoikWrVyKfGBA6kx8DyRcFQUKZVx42hozoasq1aRumJxoO4oLqZhO3MQtm9P52bmHMA1
  LD96lLafOkX3FR/vimG32VzmFDbRxx1aLVUgu53Ine1z662uFeEPHCC7sNPpOROTgRGuO1Fv2UJm
  lNOn6bu7KqqNxNmogCnx2sDMIEVGTyW+caN/FcfOW1pKo5JqB7WEMnPjlqcZM8ZFIq1bk0+gvpzL
  AN1TQQGVcenShuWWBkil5eX5Dv/T0ymsdMcOIunaOpTkZFfUS9u2RBosRfBrr9H2WbOoPrBEX4sX
  Awd/JCX+38P/BQBszNmI+3rdhwcfJDEzYgR1Zjfd1LD78UZdtum6EIgSB8gsZzDQ558FNplQAhUM
  1Ua/JM6UeHBw/Y5Nq5Xud8YM13T6xuK8/jw+nfQpHlr3ENKj0xHEBeHYlWMYljwMPM/jh6wfsP6u
  9egS06XO89RL4jzPOziOmwtgC8iG/gnP85kcxz1Em/n/8jyfxXHcZgAnADgA/JfneT/JRV2w1zhR
  KP0FI9rWHkoSLg2HwWZAtJJaDRseupP48eNUWWQy+jx+nJQvIw5mv2RDZxaWWFHhsjH7Q2Eh2eB2
  7SLFlpDgSvQUFHQ1RNJOBJ6eTpV41SpXDLfNRjbD4mLqOKxWUvLeJM5UM5uQw8wYgwbRb2++SZ1U
  +/a1L9PkrcQBGv737u0adQSixKOiqLw2mys21h+YOaWgqsDjd3eTjfd52YSdjAxS4hHyCJSZy6iR
  +cmdUxfcI06Cgog4A4FMRu+vWzf/M/3qA1Pi3o1XqaS48voQGkpmFoaPPnL9/8wz9PnOO57HpKcD
  ym3VSItMg95KI5dVp1fhvl73YepUV0x9mzaUJ+VaEBXV8I4NINOUxULCiI1QvG3iAPk13O/5z4C1
  xgp5qBwyToWicgMcjhif6e8qFY1aQ0Prd2yWldE9Ll8emNO4LuRX5qONpg0mdZiEtMg0qKVqTPtu
  GlQSFZy8EyFBIegc7cdp44WAbOI8z28C0MHrtw+9vr8O4PWAb8B+BDJnFNpo2tS6j7dd3J8SN5lc
  TiimxDUamoL+1Vf00FlWMrmc9uE4IhTmNPSHwkJy4Lz7Lpl+WrUim29uLtki3e2/6elk12ORNHI5
  VYiEBCJFlu97yBD/12KmD47znV596BBV/rpWtvFH4gx9+tAwvYtbZx4VRYrQu5HFx9PsR+9c5N4w
  2U1Ii0zDqZJTcPJOv3H+L/76Ip4Y+AQ0Mo0HiSckkIlMHiJHrDIW58rP1TlUbEowJV6bI+3hdQ/j
  QsUFPDPoGYxs5ztCVCqp426sYm0srDVWxIbFQiVR4Ya2NyCzNBO/XvwVN7QNwB7UAIwc2bhFD4KD
  ifytVpe/JyenZYTfWWpIicuC7MjONQgpIdyhUpHzWir1dOB7QyolzkhNvXYCB4jEk9RJeHfcuwjm
  glHjrMHcfq5hSrQiGlwAF2q2GZtVNaUI5+tO66WSquokcVZhBg26ur+KZm9pNBTL2qULqe7jx0mx
  9e9P+7CoFnclbrGQ/by6ml6Uw0EK/JFHyL7OnHIXLvjG23bsSDPr+vSh7yyGm5W3qKjurIfh4XRN
  Zg/3/t2f190dWy7/DxJNmV8V1b8/mWPcozCCgkgRetePDh3oWdVlSgFIiSeGJyJCHoFz5eT2WH5o
  OSx2igRw8k68sfcNnC2jYGxvErc5bJCGSJEamYpsHc2S+erEV9CZryFDVQBgJO6PhKuqq/DliS+R
  GJ6ILee3+D2evRt2/MqTK7Ezdyf+sfEfjbbvB4LqmmrIQmRI1iQjNSIVY1PG4njx8foPbCDGjSO7
  NcOhy4fwW95vAR3rblLJy6MRz4ABTV7EBoON9FRSFU7nGP12LO7trz7HJuCKrqoPG3I24Hy5nym6
  ACqtlXDyTmhkGshCZAgNDoU8VI6UiBThz99Mdn9ovnziTgeCEFznPuHScHx7+ls4nA5sPrcZYeHE
  hO4miQ4dyNsPuEKeGHlGRZFj7h//oMrJIlhYSJjB4HJ0jR5NzqSHH/ZM4hQVRcQdFeVyrLo7bG68
  0eXsfOklVwIqZla5+26KUGEVwD2+mIHNwCsv90yAlZBA12XnrA2fZ72FfpOO1blPsbEYJ4tP1rlP
  ejqZh+ojcZZ5sner3jh0+RBKTaV4ZP0jOFF8AgA5PM12M0pM5EBQq6mBX7x4VYk7qiEJliAtIk0g
  8Wd+eQb7C/fXfeFGQm/R49DlQ5DLiVy8SXxN1hr8Z89/0C22G25ocwPyq/J9znG27CzsqnMICaF3
  aLQZMfun2Zj4zUS8d+A94d6bAjzPY122K1uXtcYKWYgMSeokJKmTEKOMEZ7tH4nXf38d7x+oJTGM
  F9wn/KxZQ/b5lrAuKlPiankYDNUGvyTO2l99IYZyOdXluhZy0Zl1eHvf23j999cxYeUELD1IwfwV
  1gq8ve9tLD+0HEeKjuDV3a8iSZ0UkNKuD832mB28A0Fc3STO8zyWHlyKe3vei7t+uAvf3LQWwCCP
  3tJ91uS4ceT9ZkTIVPauXeQgWruWzCCMxNmLu3CBHJ+hoRSy5x7Ez6ZwMxIHiMSZHXDpUld0y4QJ
  9Ae4lDhLpjN/Pn0eOeJ7n0wJlJaSM5UhJqb21KvuMNqrMP9fdY+D496IgzxEDvO/ao/N7tiR7Pb+
  Zva5w2Q3QSlRYlzKOLy17y2cKD4BHjyyddno37o/cnQ5AIBSMxWe41xL0anVQG6xDdJgKdpq2+JE
  8QkUGYpQZCxCZmkmesT1QCtVq7ou32AM+GQAsnXZmCvjfZR4mbkMd/94Nww2A8anjkeSOgn5lb4k
  /s7+d6CSqGC3vwaH04E39y6jZ2EzYUjSkFpJtcJaAZPNhITw2m0LF/QXEC4Nh8lmQrImGQabATd9
  cxM2z9iMIUlDYK2xQhosxeMDHkd7bXv8cuEXHCwMIHdEADhXfg7tte0FMuF5HlllWUiJSMHm85sR
  IXclydFb9LDUWDzez/ny8zhVcgqh0d1hNrcBQKbLJ57wvE5uRS5ilDF+k901Fg6nAznlOegY5TnL
  x/2eLHYLZCEyRIZJAEndShyoW4kHB/sPKwYAu8OOzec346MjH8HmsCE9Kh2DEgcJE3jWZa/Dx0c+
  xqWqS+jTqg9Cg0Ixb0gtC8s2EM2rxP3YUt2xr4Bi6nJ0OSi3lONs1RFwXO3r6zECZLk/OnUiQurT
  hyJWunQh+3JiIiky9uK++YZIhiWbP3fOFf3A7KfuJM4UcufOtdv9WKZBBpns6ow/m1EgOQYW4pSV
  Vb/pxB8MNgOsNbWnVWQ5ToYmD63zPElJ1JFJwoywO+ww2Ux+Z5GZbCYoQ5WY0W0GBrUehMyyTIxp
  PwbZumzwPI+9BbTygzuxxcdTp8RxZB6QBEsQHxaPImORMH1/wc4FeGnHSw29/Trh5J3I1mWjdXhr
  yGQ0ZHa3iW86twkj2o7Alzd/iReGvYBkTbJfEs/WZQvROB8c/AAfHv4QK6aswJJRS9AluovQYXlj
  1ppZGPv1WGGClD88tO4hdFvWDW3eaQPAFbo55qsxeGzTY4L5aVS7UWirbYtoRTRKzP47DZ7nfeZX
  1Ibz5eeR+l4qDhS6FmDNKsvCuK/H4bz+PDQyDUpMJSg1lcJit+Cd/e9g/q/zPc4xfuV4/Gv7v1DR
  8yWYTCQ6jh6lka07Ht30KNaeXRtQufzBZDMJoakMu/J34dZvPVf72F+wH6nvpQrcwRadiQ5XAVKD
  x0QhBqbEDYbGT95Zfmg5nthMPqDV01bjzTFv4qmBTyG/Kh8mmwkHCw9iZreZSIlIwemS05jTdw6m
  d2uEd90PmjEVrbNeJf74AEpesTt/NwDgyJXD0GjqXiSV510mi1dfJUfngQPUi86cSYo4LY0SFrEZ
  hocPkwIHiMTXrqUwNsCl2phNXKOhlx4WRiGF8loCK9xt4gCReFgY8PLOl5H2fpoHkbMQp8xM/1OH
  60NVdZUQtucPjGDqIhKAnlGHDkBZn8ex8uRKqF5V4e8b/+6zn8lOJB7EBeGdce/gpzt+wt3d70Z2
  eTYOXj6IRbsWoU+rPig1uYgtJ8flDGakFK+KR5GhCCeLT0IZqoTBZvCJPefryOFqc9jg5OvOeMZs
  1dYaq0d6W57nwfM8Pjz8IW7tdCtmdp+JAa0HoJWqFUpMJULnVV1TDZ7nPUh8+eHlWDFlBW7rfBue
  GfwMopXRfpV4QVUBdufvRrQiGh8c/MBnO0NhVSGuGK8I5S0yFCE0KBR/7/d3fHTkI/DgPQRPjDLG
  49m64/0D76PT0k4w2lzJ4dk98DwPi90Ci90CnueFMuWUu+piuaUcZeYy6Mw6xIXFYXDiYPT/uD8m
  rZqEQ5cPIa/Slf85W5cNo82IRSMWAfIymM3UdkaP9m0XZeYyIbqmMXhu63M+pp2zZWc96stXJ77C
  +JU0c4j5aqw1VsGcotDUrcR1uoY5rZ28Exa7BU7eiXU56/DqyFfxxc1fQCkhOZ+kTkJuRS5GfjkS
  7x54F71b9Ua0IhrFpmIh4q4p0HypaAOwib8w/AUsvGEhdl/aDa1MixPFJxAf3/CZaN5mJ2Y2MBjI
  yXn0KMX5RkSQ0+/XX12zyNhLjYqi60ZFuVR1XYiL81ykgh1TaaVAb/cp1A1R4h8f+dhDrTp5JwzV
  BlTX1E7iLB47kGnuHTsCkFWgyFgEHrxPGCE7D6uoDKkRqcjR5SCzNBNTOk7B3L5zPdQix7neA7OJ
  MyWeV5mHvgl9AQAnik+g7TttUeOsweJdizF3g/+gYovdAvUSNe77+b4676fUXIr22vaosFYgVEqd
  WFHIHgz8ZCA2nduESmsl7uzimvYQEhSCBFUCzpWfw7ErxyBbJMPC3xbiUtUlYYZqmbkMbbVthWNq
  I9WCqgK007bD++Pfxyu/vVKryYU9awDYmbcTRcYiTE2finfHvYvQoFCf/WvrNHiexyu/vYLW4a3x
  5XGa/PBT1k9QLlZi3rZ5eH778whfEo7wJeF4/ffXcbjoMAa2Hij4JQBAb9XDZDfhsuEyIuWRWDJq
  CSLkESgyFGHTuU0eo5RtF7ZhTPsxiFJEwSnVwWCofYUbnVkn1P3G4Jz+HM6UekYtZ+uyobfqhVHo
  K7+9gh9v/xHzh8/Ho5sexau7XhXixFVSFSLiDD55fQAicbYgd0NIfPoP0xG+JByTV03G75d+x+j2
  nsOPJHUSThSfgN1JgqB3fG8hzUht6UYag2Y1pwTXo8QBehDHrhxD34S+KDYW49Ahz9lijUGrVmTP
  zsujGWO5uRSmeOkS2buHDnXZ1d1JXKNxkXh9w67//AceybvkcjrGXGOGVqb1aDjh4TSp59w5T5u4
  P+RV5OGC3rW6sslmAg/eQ4l3XdYVO3J3CN/LzGWID4sX4rvrQno6gFCLECnibhN1v6a3bbONpg3y
  K/ORU56D1IjUOtVidU01pMFSxIXFodhYjNyKXPRP6A8AuFR1CbkVuVh5ciX+8/t/8O2Zb4Vp+j+f
  /RkLdiwQ9rPWWD1StAJEZNwCTrjXElMJ4sLioJFp4JTSPWXbduJA4QHcv/Z+TO86HcFBnvVwdLvR
  2HhuI/Ze2ovUiFS8ue9NxIXFEdnyPPQWPbQyl5KozbxRZChCvCoenaI7YWa3mZi3jWyg+ZX5GPHF
  CFRaK2GxW1BhJUNr7/jeOFt2lo4LoxAIfzbkGGWMMLo6fPkwui7rCp7nkVuRC0mwBLek34Lz5edh
  tpvx6KZHsfKWlfjoyEdYnbkaG+7agG13b8PKUytx9MpR3NHlDmTrsnH76tuRW5ErjFxyynMQqYhE
  j7geOPTgIbw//n3EhsUivzJfGB1llWWhS0wXRCoiAYUOx49TUjjmF3KHzqJDZbUvibP3VR/B51fm
  C20mqywLKe+mIEuXJTxnvUWPy4bLGJw4WIip/zn7ZzyxhUwcYZIw3H630e/szqgoan9lZQ3LC74n
  fw/23rcXG3M2YkDrAQiXesbsRimikKBKwPIJy8HP56GVa4WsrbVlb20Mmk+JB+DYBCDEkfdt1Rel
  5lLIZNe+VDfHkeK0Wl1LRyUkkJkmKclzUQI2ASIykv5iY4mM65shKJG4cmc8vulxhCrM5MG3m9E9
  rrvHEFalouxxcXF1m4oAoLK6EjqLKxSP5R9hStxkM+FUySkPc02ZuQxJ6qSAlHinTgAXahauESn3
  rdUGmwFhEs9eLEoRBbPdjKNXjiItMg0xyhhhqPvz2Z/xU9ZPwr42hw2SYAmkIVKopCocvXIUgxIH
  QS1VgwOHYC4YD6x9AE8NfAqxylgcKSJv8FcnvsKq06twwxc3IK8iD73iewl2eIDs2y/++iIAYPtF
  Wk6o1ERJ1mKUMbBLiPjOm4/gX0P/hRJTCSamTfS5v4lpE7H6zGocLjqMuf3mggOHJSOXwFBtgN6q
  R0hQiJAKAnAp8Zd3vozPjn6GkV+OxJnSMygyush4/vD5WJ+zHkM/G4qMzzOQWZaJJ7c8iSn/c8nW
  Ue1GCWabeBUd528ilFqqRnVNNXRmHU6WnMSpklMYvWI0tpzfgl7xvZCkTsKOvB0Y9Mkg9Evoh9s6
  34ZxqeOQrctGr/heGJQ4CBf1F6GVaTGw9UAcu3IM35/5Hrvzdwsmj2xdtse7z2iTgbzH8iALkQl1
  I7s8G2mRaYiUR8IeqsPSpeR78k6R7OSdKLeUC52VO1gStfU563Hbd7dh2GfDMGHlBI/ZvDzPCwIB
  oI7rvP48NuZshEamEfwqPeJ6IDgoGB2jOiKIC8K+gn0YlzIO84bOg0qigtXpmavnhe0vILciFyEh
  5K9RKv1PdrI77JiwcgL+s+c/wm+lplJUVVehd3xvDEsehpvSfKfLchyH3MdyhVEmQHVFFiLzaT/X
  guY1pwRA4oMSB2HPvXvwzOBnIA2WCk6bpQeWBuzA8QcWFtj36vNltrJPP/VU0DIZ2c9DQylsavly
  YIfkaSxbXs/qE274/Pjn4NQFpMTtZvSI7YH1OeuxIWcDlh1chvBwstsHYg+vrK70iKdmz4ANKTef
  pzXW3G3FpaZSvyT+Q+YPmP3TbHxxzLVC7c03A8kpFsH+66+yZZZlIi3Sc8jAcRwS1YnYemErUiNT
  0SWmC/Iq81BmLsNPWT9h6wXXul7VDlc+nFaqVrhivIIhSUNw8uGTiFZG44VhL2DHPTvw3JDnkBaZ
  hvzKfNgddvxy4Rdk67KxI3cHTpacRLfYblBKlIJCHvf1OCzctRAAhBC9ElMJohXRiJRH4jvzI0CQ
  A6fLj2B6t+m49PgldI7xnRE3NmUsKqsrserUKvRP6I/MOZm4u/vdiA2LRWZpJjQyT5aKUcbgXPk5
  vPLbK3hg7QMAgFu/vRVfnfhKIHG1TI0D9x/AohGLsGLKChx58AhWn1ktvC8OHG5ocwOyy7ORX5kv
  HOdv/VmO4zC7x2ws2rUIJaYSzOoxC0nqJDy55UmBxI8UHUGiOhGf3/w5AGBi6kQkqZMQqYhESFAI
  jv3tGH6Z+Qu6x3VHoaEQDt6BI0VHBCXuTeIAmZqS1EmCvTlHR6MurVwLK1+JgkKHR5w5A4uJdlfi
  Nc4avP7768ityAUAzNkwBya7CQtHLESMMgY3fXMTZv80G8sOLkOFtQIcOBiqDZi1ZhZWZ67G3L5z
  sfe+vRiePBzPbX0OO3J3oFccyeyecT1x4m8U8jmw9UCEBodCJVV5JFwz2oz49+//xtYLW/HVia8Q
  07a4VlNKQVUBDhQewOt7X0dmKSV5P1B4AD3je4LjOKy+bTXm9J3j99iQIM8AQCYomiK0kKFZlXgg
  5pTgoGAMShyEcGm4hy3w5d9eFhyeAKk799ja2rD1wlZUVVcJU8Q7daJ4VhaxkJDgmaYScJlvpFIg
  LMKIt/a/DnVkgMvdg+y3QQq9oMTHpozFuJRxuGfNPXhkwyPI43agoiJAErdWCurF4XQIBFztqIbD
  6cCLv76IlIgUDydSmbkMyepkDxLneR5PbXkKHSM74qlfnhKGqqGhQA1nFuyP3hEBPM/jSNER9Ir3
  HZcqQhWwOWzoGtMV0hApRrYdiee3P49Tpac8ojeYEgeAMe3Jg6yVaZGoTkR8WDy6xHTBwMSBCA4K
  RqQ8EjqLDmdKzyAuLE7II7E7fzeSwpOQGkEThi5WuNZHkwRLsLdgL8ot5fj2zLeIUcbgePFx5Nh2
  QRtPw+5kdTLiwvyvrB0aHIq1d67FhxM/RJ9WfRAbFguO49BW0xZHrxyFVu7plOkQ1QFqmRoqCU2Z
  /d+t/8PMbjOxt2CvoKgBIFGdiGHJwzA4aTDiVfHYOWunUIY99+5B19iuOFp0FNsvbhfsq7WlJLi/
  1/3YfnE7igxF6BLdBe+New/LJizD3/r8DckaqrCj240WzDFT0qfgu2nfCce30bRBamQqJMESjGk/
  BsnqZBwuOizUG2ZO8cbtnW/HU1uewis7X0FBVQHaatsiJCgEYRIVIKsQVgFyB1Pu7iaTDw99iKd/
  eRoHCg9gZNuReG/ce/jy5i8xLHkY3h/3Ph7p8wiGJg3Fy7+9jGe3PotkTTJ+uP0HyEJkWJO1Bv0S
  +qF/6/64bLiMXfm78MbeNzC8DSkzjuPQOaYzYpWx6N2qNwASI8zZa62x4l/b/gWbw4Z9BfswZ8Mc
  1HT6ulYSz6/MR8eojrgl/RasOLECi3ctxrzt83BPd0psHiGP8DHJ1YZoZXSTmlKAZlfiDbs8swXW
  OGtQaioVhtkAcLrktIcTjOd5HLviOwHmn9v+id8v/Y4RIyg2PDmZFjqtL/fymdIz2JizUXBu1RUN
  4g4n76R95XpBiWvlWszqMUsYMp6105pUQ4e67sU7KqPEVIKCqgIPc0pOeQ6W7KEVIaprqnFBfwFG
  mxH39rjXY+jqbk45VXIKANkVa5w1eGbwM7i3x72CIwygToc5sLzvM78yH7IQmV8CPF1C2baYyn7l
  hlew59IeHCg8IHS++wv2Y3f+bkiDXfusuX2NoEwWjljoMeU9Qh4BnVmHI0VH0Du+N14b9Rp6xvUk
  ElcnoU+rPtiYsxHfnPwGw5JpFsaItiNwrvwc3t3/Lnbk7gAPHltm0CxMTWwVHLwDspC6ZzS107bD
  9G6e9vK0yDTsL9zvYQ8HSG19e+u32DB9A76/7XtEKaLw+ECKrGKdlT90j+uOvfftxc5ZOzEwcSDi
  w+Ixf/h8rLxlpfB8/SlxAEiNTEVOeQ4KDYWIV8VDKVFiZveZiAuLQ1xYHEKDQj06WkmwBP0S+vk9
  1wvDXsDbY99GbkUuOYCDQlFmLvPrD3li4BOYmDYR1Y5qvDXmLeH+opWR+HqNzm8IHzNtuSvxn86S
  eW33pd3oENkBM7rNEDoNdi/39rwX3037DjHKGLw0/CXc2P5GvDDsBQAQRoIfT/oYj/Z/FHaHHaPb
  eToWl45fiuHJROwqiUoItX1z75s4ePkg3h7zNlacWAGbwwZ99Lo6STxJnYTe8b2xZPcSbL+4HbO6
  z8Ld3e/2f0AdGJI0BAsyFjT4uLrQjJN9nAEpcXdEK0iJFxuLwYPH4aLDwrYSU4kwXDLbzcgszcSk
  VZNQ+IRn1lydWUfDM841Xb+uVJcMT215ChvPbcTmGTT8tdgtQAB5m4SoEbkeYYqrkR2hSrTRtAEH
  DqPajYL5KuGOGUND1C7LumD//fs9Gt0HBz9ApbUSldZK6C16OJwOj6neldWVOHj5IDpGdYRWrhWG
  qQBQZilDK1Ur2J12dF3WFZtnbBZMGBzH4aYON2HuhrlYOIJMESyRPgCf+PPDRYf9qnAAWHPHGo93
  2jmmM/7W+2+Yu3GuoMRv/e5WFFQV4N4elCtVHirH5I4u+eZto45URKLEVILLhsvoFd8LY1PG4sfM
  H3H0ylF0iu6EZE0yRq+gxvvkwCdxsPAgWqtao0NUB7y9723c0/0ezOg2Ax2jOiJe2h6quBKES8Mb
  NZxNjUjFJ0c/8TElsXt1hyxEhsUjFgsjjdrQRtNG8PtwHIenBz/tsb22yTHh0nCES8NxuOgwHun7
  iMe2IC4ICzIWoHd87/puCQB1JsmaZOgteuiterTVtvVrTgGog35uyHM+v0cqItGuk+ciIXqLHjqL
  Dg+tewgATXw6WnQUXWO7Iqc8B91ju2NX3i6PfCHeGJI0BEOSXEmHEsITsGjEIiHfTrfYbnhh2Avo
  ENkBKqln8qBbOrkSjKukKkGJrzixAl9P/RodozriWPExjGgzAg+u+XudJJ6sTkbvVr3Bg8eCjAUY
  nDS41jLXBY1Mgwlpfjy/14DmixPnHQEPQRiYA6nIWAR5iFywTwEUSsZ62jd+fwNzNszxazPXWXQB
  57lwtysXm4oBQDAzmO1mvzHMNc4ajxhdRoi8tEIwpyhCFVBKlHio90MYnzoeUo0e339PjpUVJ1YA
  8E3TmleZh3JrOSqrK8GDh96qF8oEAEsPLsX0H6YjLTINWpnWx5ziHpe6ZPcSXDZcRutwyh8woPUA
  XKq6JIQTMrPLqHajfJT4kaIjgu3RG+NTx2NMiidpTUmfgmmdpglKnA2p2YSg+sDMKXsu7fFRkv0S
  +mFY8jDc3f1uzOoxC7d3vh3xqnjEKGNwV5e7MChxEJZPXC7M6NOEyTH17mLB7NFQpEWmIac8x8ec
  Uhv+OfSfHuaUxqCuDI9pkWm4oL8g2M+9r92Q7JDh0nCY7WaUmcswIXUCOkZ1RIeoDvUfeBUamUZo
  V07eSUr+3xFYtGsR2mnb4YFeD+BUySn0+7gfHt/0OIoMRRiWPAyXqi4hNSI14OsAwLyh8zw6t0hF
  JIaCGUQAABwVSURBVB7u+3Cdx4RJwmCwGVDjrMFF/UWkR6VDEarAZ5M/w11d74KNM+Chhx1C+d0/
  8yrzkKROQqfoTrir610Y0LoFJIVxQ4t3bLojShGFUnMpLhsuIz063YOoSkwlsDvtsDlsyCzLxLEr
  x2C0GYXwNIC8zFXVVQFNOjBUG9DqjVbC8UWGIoRJwgQST3s/DY9tesznuEc3PgrVqyqBhIWkUBKX
  OYVVwGUTlyElIgVVdr0QEcOclt7hefmV+dBb9Ki0VkItVWPBjgW4/2ff3KOpEanUoLxIPEpBMiNC
  HoFDlw/hrO6s0PhDgkIwNmUs1mev9yjzxNSJPvHnR4qOCHbGQNBK1QpfT/0a5ZZyGKqpEc3pOwej
  2o0K6PhIRSROFp9EbkWu0HgGJg7E0KShCA4KhiRYgi9u/gKfTf4MfRP6Ij4sHtHKaDw9+GlsmL7B
  w2wSJpWjVUqJTyhYoOgWS2u9eTur/kjUZk4BgCGJQ6AIVQid8bUgiAtCuDQcF/UXMavHLGTOyWzQ
  eRWhClhqLDDbzUh+Oxk/ZlLu5/XZ6/HJpE/w2ihaeuzNG9/EihMrkKxJRqySkh35yxjZ1FBJSInn
  VeQhNizWo4MLDgqGSqJCh26VuPP7O4WRXcKbCXhpx0vYc2kPOkZ1hCRYgq+nft1g8flHo8U7Nt2h
  DFXidOlpTF41GSkRKaiwVoDneSw/tFwILTNUG5CtyxYUJFPFAz8ZiI+OUDJjphjWnl2LxbsW+73W
  0StHUWwqpuWTnA6UmkvRMaqjx4SDdw+863Mcc7CxyTxMiSel6TFqlCeJA+TQcx8ZVFRXIFYZ6zOZ
  I68iD3qrHpXVlUiNTMWPWT9CZ9Hh2cHP4vPJnwv7dYvtBq1ci60XtiLitQikL01HqalUcKbEKmMx
  KHEQVp9Z7aESx6eMx5YLW8DzPKw1VjhedKB1eGtUO6rx4q8vQvuaFtrX6Lx9WvXx/4JqQWhwKFQS
  FU6Xnka8Kh7vj38f747zfXb+ECmPxOGiwxiTMkYgz1k9ZuG32f6z66VEpNSa3lgeKkexqbjRJN4+
  oj26xHRBWGjThYfVhyFJQ8DBv+ln0chFMM0z+Uy8aiy0ci2KjEW1OnzrgixEBovdIvhuHt30KJ4c
  +CRKni5BRpsM4ZnP7D4Ti0bQjF6Wg6Wx76MhCJOEIbciFynvpfjtnJgJctWpVZQLiOdxxXgFC3Yu
  QIIqQbCtt0Q0rzmloSQuUQpRFNJgKYK4IFhqLNh8frOwZJjBZvCIwWYmFeaFBuDhgT9Z4j+zH3Oa
  5lfmo8RUAq2MAvW9Z415LxZcZCxC5+jOyNHlYNI3k4R0rOGxevTqxcNsN3uoAK3c0/Sht+iRFpnm
  QeJO3olLVZdQWFWIkKAQjG43GoUGsvVHK6IFR+I7Y9/B8DbDBcfbklFLUGQoQrmlXDABKCVKDGg9
  AEab0WMY3i22G86UnoG1xgpJsARBXBCkIVJU11Rjd/5ufDrpU1z4xwWUP1veqARVsWGxOHz5sN+h
  f11gzq6Jqb7x3P7w2eTPMLmDnxAJkKotNjaexAHgxN9O4J1x79S/YxPhyYFPwvGio/4dmwAamQYh
  QSHCqK0hkIfIYamhSWIdIjsgLizOw/wVHBQMx4sOaGQazOk3ByumrMDsnrP/tHtzt5czp7o7tDIt
  9l7aiy4xXVBmLkPPD3siShEF4z+N2DB9Q5OGBDY1mleJN3BYogxVosRUgmHJw/DhxA8FO5x7lMoF
  /QWPHCEGmwEV1goP9csiN0w2U62x5keKjiCYC0Z+Zb4w+YKZKZgy6h7bHS9sf8HjuCJDEYYnD0e2
  Lhtrs9fi8c2PC9e0OWwICQrxGI5rZBqPSBK9lUi81FyKedvmocxchivGK6hx1iC3IhdqqRoT0yZC
  HiJHaFAoYpQxQqVk8cssqmBKxylI1iRDK9cK1wyThAmOSXcyTolIwUX9RRhtRuFZSYOlsNZYkVOe
  g17xvaCVaxs9SWFw4mCsPLWywTbiKEUUgrggjE2pZdkgL3AcV2uDY0rc2wHWEHAc1+CoqmtBXffT
  1NDKtIhVxjbq/uQhcljsFpRbypEQnoCjDx3FtE7TPPZxPy/7/896lqyNTO4wGWvv9E3EpZFpcODy
  AcFkdrz4OBxOB5QS5Z9qPmsMmlGJOxFUX1yfF5QSIvEIeQTkoXJoZVqcKz/nQYJZZVlIjUgViKiq
  ugo5uhyPiAKmfI02o+AMZdhyfguKjcUoqCpA19iuROKGIrRStRIULnP4vHHjG1iduVrIJV3jrIHO
  osPgpME4VUqhfGxUwHJSeEcbeJtT9BY9OkR2wBXjFby6+1XsL9iPnbk7MTx5OHjwSFQnYmDrgdh9
  726007ZDtNKlxJnCjFRE4vCDhxGtjEaSOslDWSlDlQKJuxOqPFSOGGUM5u+YL9iRpSFS6K16lJnL
  kKiuJz9tPZiQOgG/X/q9wUo8RhmDgw8c9Buz3FDIQ+QoMZUgXPLHD9+vR2jl2kanAZaHymGtsUJn
  0SFSHgm1TN2i1CsrS6wy1q/5SSvXYn/BfqRFpCHn7zm48uQVHPtb3Tn6WwquO5u4tcYqqEGtXIvj
  xcfRTtsO6+5ch8GJg3FBfwExyhjEh8UjJCgE2y5sw8mSk8IadoDLJm6y+yrxxbsWY8v5LdBZdOgZ
  1xP5lfm4WHERSeFJgkkiJYISiCeqE/Fwn4eFCTclphJEKaLQVtPWw+wSLg2H0Wb0sYcDrugD5kys
  sFYgLTINey7tAUBOtHU563Bb59sAUEgax3HoFd8L7457F4MTBwuk6x51wYg6KdyLxCVKJKgSsHra
  ah9VfanqEpYdWibEoUuDpThdchrtte2vWTGNTx2Pt8a8hft61p2wyh9qC2lsKGQhsmuyif/VoZVp
  Gx1N425O8Rea2FJQW2SRVqbFWd1ZpEamIiUiBbFhsUhS173yWEtBM6aidSCkgeYURoDKUOpJtTKt
  kANiQtoERCujcUF/AdHKaDw35DkMSRqC5399HvN3zEfPuJ7YOH0j3hn7jocS9ybxUnMp8ivzoTPr
  MDx5OA5ePogcXQ46RHUQhpvMbKEIVeCmtJuwPmc9dGYd8iryEB8Wj0hFJPIq8gTlrpFpYHPY/JI4
  4LKL8zyFDjKbNUDmoONXjmNgawpmd5/tdWP7G6GSqoShoj9yStYkCyT+8U0fY0HGAnAc5xFDy7Du
  TprxymZpykJkqHZUCzMArwXSECkeG/AYusd1v+ZzNRZNYRP/K0Mr0zZ4pMQgDyVzis6ia5JR0x8F
  74la3r/3jPOz9FYLR/OROBoeYsiGQUxBamQaXKi4IJCqSqIiJa6Iwf297he80AVVBZiQOgEDEwfi
  vp73odRUCpPNROYUm6c5pcRUQiRu0WFyx8nI1mVjV/4uir+Wa5GsSRbCvpShSvSM7wkH70CXZV3w
  wNoH0D6iPSLkEXDwDqEnZwmLaiPxKEUUJd6vsYADh9iwWHw66VOoJLTGaGV1paAg/KWw9DanuCOj
  TYaQnOe+Xvf5rILijglpEwSboPt5W7KyagjkoXLorXqRxGtBRpuMgH0P3rgelPi0TtMwNX2q320F
  BpojUVf7aKloVnNKQ5U4U+CCOUWmxQX9BaEXDZOECUoccEWOTE2fKuTcUEqU6N+6P7Zd3OZjTnE4
  HdCZdcjSZYHneailakxImyBk5kuPSseINiME84VSQgsjvD/ufbQOb43TpacxLmUctDItOHCIkEdA
  JVFBI9Og2lENo80o3IM72JJgeoteIOvZPWdjdo/ZROJXY8PbadthfOp4n+PrUuL9Evrh/l6+8eS1
  ITHcZftm522pjbKhYJ1voAvQ/n/DuNRxuLmjnwxWAYAp8XJreYtV4t9O+xapkf4nFmUkZ2Bap2kt
  yo4fKK6rGZtMiTMijJBHEIlfJT6VhDKVMbXKVkv5/rbvPV7OmPZjsO3CNhhtRtgcNmFCi86iAw8e
  R4uOIkIeAY7j8HLGywCAtpq2GJg4EK+OehXyEDlCgkJcSZxSxmD37N3oFN0J41PHIzgoGBqZBmqZ
  Glq5lki8phrllnK/+SiSwonES82lHoQZLg2nNRrtJqikKpz/x3m/+S+YYr6WqAuGSR0muaJTmBJv
  oY2yoWD+h8bEQYuoG/IQOcw1lJunqddI/TPwUJ+H8O20b5u7GI1Cs8XOOHHtSrx1eGtKKOVmewZc
  duNkdbKQsModcWFxOFVySlg44NOjn2JX/i6cKT0jrDbDTDHtI9rD+aLToxOQhch8FLU0RIpTD58S
  9otUREItVUMr0wpKXGf2by9kSjzsSpiQEwIgEs/WZSNMElanY1EWIgMHzq/Kbyge7P0gHuz9IN3T
  X1SJN9buK6J2yEPl+O70d+gc0xkj2o5o7uL8v0LzkXgjQgyZQmQkzhxuTInP6DYD87bPExx539zy
  DRy872QCZagSRptRcB5+fvxzYbFYpq7dV97xHmLJQmR+bdvu+0XK/6+9u4+R4r7vOP7+7i73wB3P
  GCgHR2xwcOzgJ9k4tZvm7MQOdVVw6iqGSOkDrYoqGTeVEj+pVc5J1Mb5p65EEtktrSI3LVXT1BAl
  cVAabSukuCENtkkNNrFbGw5zqDQp5oh9t7vf/rGzd3PL3e0uMzfD7n5e0skzs7+bmfvp+Pp7v8cg
  iIcy8crwq2r9C/p58fSLvF14e9KiRfM653H87PHxUTXT6c51z8qQrkomPtVfD82okolHXc9ELlTp
  BB9YM5DoOHpJNYgXyV1kx2Z4I1KY6FlevWA1rz7wKpcvLO9/GN59Jay3o5eRsRFGxkZY0r1k0uSg
  0eIoN6y4YXwH9ql0z+muOdV5ydzyWNmFXQtZ0LmA0eLotJ0+/Qv6OfDGAXKZHLs37x6/Pr9zPifO
  nqjZhntZz2V8/3frW1CqEZW2/1ZpTqlM2oh7PWeZ+Csnzr0jpT6pNqdks40F8Y5sR7AAfTkTr3TC
  hcd+XrFoip1Qq/R0TGTiaxas4cenf8xnBj7Dfe+9j3Oj51g5byVDZ4em/f6pmlOqLe5ePN6csqAr
  COI/PzPlcL2b+27mwVsfxMy4bfXEEpfzO+dz/OxxNizbcMH3VJuNXvVK0KveyaZZVTqxL7UFjFpB
  5a+cOHdxl/qkm4lfxD+mnjk94wG0p6OHJd1LGg4ylV0+zo2e49rl13L49GHuvfreSbM6Z+r86s7V
  zsS3X7+d5b3LuWnlTSydu5RH/uURhkeGp8zEu3Jd7Lxl5wXXK0MM0x5NEed+gGmqdwliaZwy8fTU
  FcTNbBPwBOXRLLvd/fGqzz8A7AUq27B/3d0/N9M9L6ZjE8qBOxxUdm7cOeUi/TPp7ejlzPkzzMnM
  YfP6zXz18FcnDa2rpZ5M/PbLby8fBIlJZ7aTk2+dbKhpojJksFab+Gy6+8q7WbMg+mSfS8FHr/no
  BfMCJB6VTFxBPHk1g7iZZYBdwAeBk8BBM9vr7keriv6bu2+u98EXm4nftfYu+ub3jZ9/euDTDd+j
  Z04PwyPDLOxayJ1X3MmynmUNDc+7csmV3Lr61oae2ZkLgngDIz0qQ7Wq97lM0jc/9s3Unh23Dcs3
  8MSmJ9J+jZZUycTV35C8ejLxjcAxd38dwMz2AFuA6iDe0NAIp0iuwTZxKC81GlVvRy+FUoHL5l7G
  ou5FDH9yuPY3hdz4Czc2vJ5HZ7aTU+dONTTSY3nvcras39IymbC0LmXi6akniPcBx0PnJygH9mq/
  aGbPA0PAp9z9pSnKjCtRSm0oUmV4YJK/cJ25Tkpearh9+5mtz8zSG4nEJzyLWZIVV8fmfwD97n7e
  zH4FeAaYsqF6cHAQgHM/PMTQir6pisy6bCZLd6470Z70ysSZVukkFAlb2LWQkUdH0n6NlpHP58nn
  83WVrSeIDwHhNRlXBdfGufu50PG3zexLZrbY3Sdve8NEEN916mXWbnhvXS85G3o7elk2N9lMvNbM
  S5FmNtUEOLk4AwMDDAwMjJ8/9thj05atJ6IcBNaZ2Roz6wC2AvvCBcxseeh4I2BTBfCwkl9cm3hc
  ejp6Em1O6ch2aPU8EYldzUzc3Ytmdj+wn4khhkfMbEf5Y38K+A0z+wNgDPg5cF/N+1qROSkG8d6O
  3sSbUxTERSRudbWJu/uzwPqqa0+Gjr8IfLGRB5dofBXDOPV29CbesakgLiJxS23GppNuJv6hyz80
  aQOE2daZ7cQ6mm+tYhG5tKUYxEtkG1zFME6fveOziT6vM9c5PgxLRCQubZuJJ60zqyAuIvFLLRW+
  2BmbzUpt4iIyG9Lbns3aLIhnO5nXEX37NBGRsFQz8XZqTtE4cRGZDam1idNmmfj2G7YrExeR2KW6
  s087ZeKNrnooIlKPFBfyKJHLah0REZEo0msTT3navYhIK0g3iOcUxEVEokivPUOZuIhIZJrsIyLS
  xFJtTulQc4qISCQpNqeUlImLiESUcsemhhiKiESRbsemmlNERCLR6BQRkSaWShB3BzIK4iIiUaUS
  xEsl2m4BLBGR2ZBKEC8WgUyRrCmIi4hEkWImXkp1t3sRkVaQaiaeMQ0xFBGJIr0gbmpOERGJKr3m
  lEyBXCa9jYVERFpBqpm4griISDTpZeLZgjo2RUQiSiWIjxVK5YerY1NEJJK6oqiZbTKzo2b2ipk9
  NEO5m81szMx+fab7jRaKUFRTiohIVDWDuJllgF3Ah4FrgG1mdtU05T4PfKfWPccKBXA1pYiIRFVP
  Jr4ROObur7v7GLAH2DJFuZ3A14DTtW44WihirkxcRCSqeoJ4H3A8dH4iuDbOzFYC97j7lwGrdcOx
  ojJxEZE4xJUOPwGE28qnDeSDg4MMnT6PHx4ln88zMDAQ0yuIiLSGfD5PPp+vq6y5+8wFzN4HDLr7
  puD8YcDd/fFQmdcqh8BSYAT4fXffV3Uvd3cOPD/MwD9soPBnNVteRETanpnh7lMmx/Vk4geBdWa2
  BngT2ApsCxdw9ytCD/sb4BvVATysUCyqOUVEJAY1g7i7F83sfmA/5Tb03e5+xMx2lD/2p6q/pdY9
  RwsFdWyKiMSgrkjq7s8C66uuPTlN2e217jdWKGLKxEVEIktlymShpCGGIiJxSCWIjxYKGMrERUSi
  SicTLxbJKBMXEYksnUy8qExcRCQO6axiWFSbuIhIHFJqTlEmLiISh/QycQVxEZHI0tmeraSOTRGR
  OGiIoYhIE0ttsk8mtgUURUTaV2odmxll4iIikaXTsalMXEQkFhpiKCLSxFJsE1cQFxGJKsU2cTWn
  iIhElV4mbsrERUSi0hBDEZEmltKMzQJZZeIiIpEpExcRaWIpBfGC2sRFRGKQ3gJYCuIiIpGlNGOz
  QFbNKSIikSkTFxFpYukEcS+SNWXiIiJRpdaxqSGGIiLRpRLES8rERURioSGGIiJNLLWOTWXiIiLR
  1RXEzWyTmR01s1fM7KEpPt9sZi+Y2SEz+6GZ3THT/YquNnERkTjUTIfNLAPsAj4InAQOmtledz8a
  KvZdd98XlN8A/DOwbrp7Fr3IHAVxEZHI6snENwLH3P11dx8D9gBbwgXc/XzotBf4n5luWPQC2Yya
  U0REoqoniPcBx0PnJ4Jrk5jZPWZ2BPgW8MBMNyyPE1cmLiISVWwdm+7+jLu/B/g14OmZyhZLRXLK
  xEVEIqsnkg4B/aHzVcG1Kbn7ATPLmdkSdz9T/fng4CBD//p93sr9hPz7r2VgYKDhlxYRaWX5fJ58
  Pl9XWXP3mQuYZYGXKXdsvgn8ANjm7kdCZda6+6vB8Y3AP7r72inu5e7OdX+8g7Vzb+Trj+6o80cS
  EWlfZoa721Sf1czE3b1oZvcD+yk3v+x29yNmtqP8sT8F3GtmvwmMAiPAfTPds+gFchm1iYuIRFVX
  w7S7Pwusr7r2ZOj4C8AX6n3oO5ylKzOv3uIiIjKNVGZsvmVvsCTXX7ugiIjMKJ0gnnmDpQriIiKR
  JR7E3ym8w9uZ/2VhbkXSjxYRaTmJB/ETZ08wt7iSOTl1bIqIRJV4EN++bzu9hX4yqTTkiIi0lsRD
  6Sdu+QTXnfgyc+cm/WQRkdaTeBD/yHs+wrn/upq+C1ZfERGRRqXSqDE0hIK4iEgMak67j/VhZl4q
  OV1d8LOfQXd3Yo8WEWlaM027TzwTP3MGenoUwEVE4pB4EB8agpUrk36qiEhrSjyI33ILvPvdST9V
  RKQ1Jb4zw5kz0NWV9FNFRFpT4h2bST5PRKQVXFIdmyIiEh8FcRGRJqYgLiLSxBTERUSamIK4iEgT
  UxAXEWliCuIiIk1MQVxEpIkpiIuINDEFcRGRJqYgLiLSxBTERUSamIK4iEgTUxAXEWlidQVxM9tk
  ZkfN7BUze2iKzz9mZi8EXwfMbEP8ryoiItVqBnEzywC7gA8D1wDbzOyqqmKvAb/s7tcBnwP+Mu4X
  bTX5fD7tV7hkqC4mqC4mU33UVk8mvhE45u6vu/sYsAfYEi7g7s+5+/8Fp88BffG+ZuvRL+cE1cUE
  1cVkqo/a6gnifcDx0PkJZg7Svwd8O8pLiYhIfWLdY9PMbgd+B/ilOO8rIiJTq7nHppm9Dxh0903B
  +cOAu/vjVeWuBf4J2OTur05zL22wKSJyEabbY7OeTPwgsM7M1gBvAluBbeECZtZPOYB/fLoAPtNL
  iIjIxakZxN29aGb3A/spt6HvdvcjZraj/LE/BfwJsBj4kpkZMObuG2fzxUVEpI7mFBERuXQlNmOz
  1oShVmNmu81s2MxeDF1bZGb7zexlM/uOmS0IffaImR0zsyNmdlc6bz07zGyVmX3PzP7TzA6b2QPB
  9barDzPrNLN/N7NDQX38aXC97eoCyvNQzOxHZrYvOG/LeojE3Wf9i/L/LH4CrAHmAM8DVyXx7LS+
  KI/QuR54MXTtceDB4Pgh4PPB8dXAIcrNW+8K6srS/hlirIsVwPXBcS/wMnBVG9fH3OC/WcrzKm5r
  47r4I+BvgX3BeVvWQ5SvpDLxmhOGWo27HwB+WnV5C/CV4PgrwD3B8WZgj7sX3P2/gWOU66wluPsp
  d38+OD4HHAFW0b71cT447KSc4PyUNqwLM1sF3A38Vehy29VDVEkF8UYnDLWqZe4+DOXABiwLrlfX
  zxAtWj9m9i7Kf6E8Byxvx/oImhAOAaeAvLu/RHvWxZ8DnwLCHXPtWA+RaBXDdLVVr7KZ9QJfA/4w
  yMirf/62qA93L7n7DZT/Gnm/mQ3QZnVhZr8KDAd/oc009Lil6yEOSQXxIaA/dL4quNZuhs1sOYCZ
  rQBOB9eHgNWhci1XP2aWoxzAn3b3vcHltq0PAHc/C3wLuIn2q4vbgM1m9hrw98AdZvY0cKrN6iGy
  pIL4+IQhM+ugPGFoX0LPTpMxOcvYB/x2cPxbwN7Q9a1m1mFmlwPrgB8k9ZIJ+WvgJXf/i9C1tqsP
  M1taGXFhZt3AnZQ77NqqLtz9UXfvd/crKMeD77n7x4Fv0Eb1EIukelCBTZRHJRwDHk67RzeBn/fv
  gJPAO8AblNeUWQR8N6iH/cDCUPlHKPe4HwHuSvv9Y66L24Ai5VFJh4AfBb8Pi9utPoANwc9/CHgB
  +GRwve3qIvTzfYCJ0SltWw8X+6XJPiIiTUwdmyIiTUxBXESkiSmIi4g0MQVxEZEmpiAuItLEFMRF
  RJqYgriISBNTEBcRaWL/D0/4iN+zdJOWAAAAAElFTkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f797d2cd6d0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd4FFXbBvD7ScIGQhoQaoCEKr0JgoKIgNKUoqgg9kax
  v6KIjSBdpEovNkAQQQVUqhJEREGBoKHXj9CbgZC25f7+OOkJycquWUKe33XtlZ2ZM2fOnMw8c+ZM
  WSEJpZRSBZOXpwuglFLq2mkQV0qpAkyDuFJKFWAaxJVSqgDTIK6UUgWYBnGllCrAnAriItJRRPaI
  yD4RGZTD9GAR+VpEokTkNxGp4/6iKqWUyirPIC4iXgCmAOgAoC6A3iJSK0uytwBsJ9kQwOMAJru7
  oEoppbJzpiV+C4D9JI+StAJYBKBbljR1APwEACT3AggXkdJuLalSSqlsnAnioQCOZRiOSRmXURSA
  +wBARG4BUBlARXcUUCml1NW568LmaAAlRGQbgOcBbAdgd1PeSimlrsLHiTTHYVrWqSqmjEtD8jKA
  p1KHReQwgENZMxIRfVGLUkpdA5KS03hnWuJbAVQXkTARsQDoBWB5xgQiEiQiRVK+PwtgA8m4qxRE
  PySGDBni8TJcLx+tC60LrY/cP7nJsyVO0i4iLwBYkxL055LcLSJ9zWTOAlAbwGci4gAQDeDpvPJV
  SinlOme6U0ByFYCbsoybmeH7b1mnK6WU+u/pE5se0qZNG08X4bqhdZFO6yIzrY+8SV79LW5dmAjz
  c3lKKXUjEBHQhQubSimlrlMaxJUqhE6dAkaP9nQplDtoEFeqEPrkE2DwYODoUU+XRLlKg/h16ORJ
  oHfv/3YZa9cCb78NbN5s/ublzz+B6tWBWrWAixf/27Lll507gSpVgLAw8/nyy+xpJk0C5s/P/7I5
  a8sWoFo1U/5nn807/cGDJv2IEcDttwNNmwI9egB6qer6M3t2+raZm0ITxPN7I3VleX//DXz1FZCY
  aPJxNi+Hw/llTJkC/PgjsHUrsGZN5jwcjszLtNuBjz4C+vQBgoOB7dtN2azW7PPFxprPlSvZl0kC
  cTk8AvZv1jF1WTYbkJCQ87Tc8kpdlsMB/Pwz0KqV+Tt6NDB2bOZ1SkwExo0DVq50vmwZJSebuoiL
  y7yOV/s/2WwmvT3DCyuy1k1iokkHAJcvA5MnA088Afz0E7B0KXAo23PSmW3aBNSvb4L5+vXm/799
  uzmYJyfnvEzlGZs2AS++aLbP3BSaIH7nnWaDzQ8bNgAdOlz7/EeOmB05Ohr48EPgvfecm691a2Dj
  xrzTnT1rAveRI+kfwASH0FCgXTtg3rz09H37mpZ7376m5RYVZVpzLVuand1qBerUAe65ByhfHqhc
  GShd2gSHjEaPBgICgB07so9//XXn1jE2FqhQwZSxdOn0wJOqRg3grbeuPv+AAcC995r5o6KAW281
  LZ0HHzTrcttt6QGsXj3Az8+kuxYdOpj6DAkBwsNNy3fqVOCZZ3JO3707UK4c0KtX+rgVK4CHH05f
  99BQoEsXYPlys/6//AI895z5f/TvD9Subc7kriYqCmjRAihbFvD2NuV69VWgY0egbl2z3XXpAtx3
  37Wts3KfI0eAJk3ybonn96OjzC8OB7llC3nuHGmzkcWKkdOnk+fPp6eJjyfPns0+b0yM+ZuYSJ45
  Y76fPk0mJZnvSUnkqVNXX/bo0WRgoCkDSdrtJs+DB8mNG9M/sbFm+rFjJm3q37ffNm2huXPJ++4j
  27dPL8f27enzkenjo6PNPDNnZh6fWva//kofP3ky2bs3abGQnTqZ+fbsIf/+O7UNRg4YYNLv2kUG
  BZl6JMnZs8m77iJDQsgqVcg//zTLTJ3v6FGTbuhQ8oUXMtdLt26knx85a5YZTkgw9VC1KtmqFRkV
  Rf72W3q9JSWl19Xp02bchg1mOSVLmvmiojIvI7UcGzeaOsnozBmyUaP0NKVLk7/8kj7d4TDr9Mcf
  Zn0DA00ZixY1f1Pt32/yv3DBDMfEpJc5o3LlzLTU+ilenKxXz2yL//xj0mzbZvJasYIsVcpsn8HB
  pl5J8s03yYYN0+v+nntM3TdqRM6bl32Z7duT33+ffXyqdu3IH37IeVqTJuS0aaastWvnnOb4cfLA
  gczjrlwhN20ik5Ozp4+JSf8fpv6vjh27evk8JbVMrpZtzx6TR3IyefJk+vgzZ8iLF009pNbh8eO5
  5xUenl7XKbEz57h6tQn/xSc/g3hqQHruOXL3bvM9OJi89970NG3amB0towsXSF9fE+BnzTJBlDQB
  6OOPzff5881OdDW9e5vlHTpkhletIkNDTTBs2dJ8qlQh33nHLCcoKD0Iz59P9ulDNmtGPvIIWa0a
  6eVFBgSQq1eb7z17mny3bDEB4eJFs7MXL06+9ZYJ2BaLCXwOB9mggZlv507Sx8fkuXq1+evvnx7U
  Jk0yAaN7d1PGM2fMcocMSV+3nTtJERMs3nuPvOkmsmxZc4B8++30dAcPmmCTeuAjzUbZvz/5/PNm
  +MUXyZo1yQcfJL29yRIlyPLlTR2QZl2qViXr1CEfesiMmzyZvOUWcsoUM+7zzzPXfXAwedttpvyB
  gWanIk1dWCxkkSJk377k+PFmHeLiMs8/ZAj50kvkjz+aAwtp/hdr16anqV6drFyZfOUVM1yjBvnz
  z5nzSUgw25Hdbv4/bduauixbluzYkVyyxOzkRYumbxOTJ5t5x441aY8cMQfZ4GAz/vbbyW+/JadO
  Ndtx1rKT5GuvkSNHZh9Pmm0hJOTqwePbb005GjQwdZyV3W7+h/7+Zp1SjR9vtp8lS7LP0769ya9l
  y/Rt0scn+4HAkw4eNOt08KDZh6zWa8vn+HGzb7RpQy5ebLZbh8M0FH19zb5Sp47Zdvz9ybAwU6c5
  sVrNtpq6/9zwQfzAAdNqPXjQBM6YGNMSDA01G+OiRaZyAbMBLVtmKg8wgePsWRNEFy40+QDk1q0m
  4KQG63r1TNAhzY4CmB3399/Ty7F2rcmncmWyYkUThOx2ctQok75bt/S0S5eaVtWiRWbaypXm7623
  msD25ZdmRy5WzLQ6LRazPm+9ZYL+Rx+ZHdxiMQE0NJR8/XXy4YfNX4uFfPxxcvhws7E0bJievkIF
  c3bStm16AAfIpk3JYcNMa9Dfn3ziCXNAycjhIOvXN3Wwf7+ZL2sgTZUadFLrpnhx87dWLXNgDQlJ
  P9CFhpIjRpj1vvlmE6gqVDAHpL/+MnWycCF5xx2mtUiaYNWliwl2UVEmqKUGTpL83//MQXjqVFMX
  FovZkfLalkqXJnv1Sj/YTJxI3nmnyeeHH0w+K1aYIL96dfoBMKO9e81BMlVcnEnXqZM5ePfvb4Jf
  27Y5l6N/f1OGkBCz7W7fnv2gmJPPPydbtCAPHzYt96lT0z8LF5o8cjpryOj4cbJMmczjbDZyzBgT
  kHv2JJ95xuQZFUU++qj5/73zjkl76pQ5+4iNNWcXqS3S6tVNQwgwB8sff8y7LKn27jVnHjabc+mz
  iokxefz0U/q4LVvIuCt2Lv7KToD84ANTtl27rp7PhQtm+1u4MPu0Dz4w+3hwsGlUAWY/nTzZbDP+
  /uaspW5dU4cNG5Lr15v9aOpUc5aZ6uhRU6epbvggnhpUS5YkO3dObwkPGmRO3994w7QEAFO5wcHk
  mjVmuHJlc9pfqpTZWSwWM37OHNOiK1HCbGgBASYokaZ1UbmyaZUAJmjExZn5S5Uin3zS7ORhYWY5
  Dz1EPv2Mgzt2pG+xBw6QlSqZndrf3wSwgAATeF56yZxuz5xpdvSPPzYb/CuvmNP8Tz4xO/nLL5uD
  TqlS5lQ4MpJs3ty0ZpctM10i/fub0+vHH09vLa1YYcqwdCk5eDC5fDnZoYOZHhlppg0daubfvTt7
  fa9ZQ+7YYb7PmWM2zJzMnk326EFeumQOPBMnmnp64AHzvwoZcD+fWfYMSfKzz0wrLSHB/I/69zdB
  gzSnphaLOTAOGJDeZbN3r/kflSxpgnx0tGkVpzp2zPxv+/c38/30U847X1YTJph5tmwxwxcvmv/L
  00+bcpQvb8qa8QD45JPZ6yhrgA4JMev21Vfp8736as5lOHzYHEQGDzatt/vuy949lZNTp8z/slQp
  EyT69zefvn3N2Vi7dnnnYbenn43a7DYmWBP4zYoEhldP4Kp1Cdyx08r+/c2+1qMHWa9RIkPfu40t
  Hl7DBGsCR4xJIMTO5/o60g4GSbYktm9vzvKqVTPrBGTu9rParUywJjDBmkCbPXO0vv12s5/88APp
  cDbyZ9CrlznbSw1BiYlkYIWT9InwpQzxIiptYp36SQTIL764ej4DX3ewVSsTV7J2xbZvb/at8uVN
  oO7f3+zjpUqZ7XvxYpPuxx9NT8G4caah1LatqZcSJUydJ9mS+MknDt7bNX09b/gg3rMnef/9ZgcL
  CjKn0QEB5HffmdPxqlVNQLBYTEB47jmycWNzSmqxmJ2rZEmyXz9TIxaLme7nZ1rugwaZU5ugIPKb
  b0zeL75oxgFmA0k9kJQvn346NmmSacmHlHbw7tkPcvrW6SRJu8NOu93kExhIPvss2bWrCUhZN1C7
  wzQrHQ5HjhtvcjJZsvJJlnq/Kg8dNi2Kps0yn6NZ7VaOGZfAOvWsjE9OoNVuZXxyfNp0m93GyTNj
  Wal6LG22nHeQ1HLk5NVVr3L8r+OzpfvnH7N+99yT+SzkyhXSLyyaiACrTaqWNTuSZGxiLBOtiWnD
  jRrb04J6Rtu2pRzAQ6y84+5Ytm1/jefCTnA4zA7ZooUZLlfODNeta7aXuDhy4EDTfda9e/bA3rSp
  OYiknsGULEl++unVl5dal5272NPODp2x/0gcxXKFq1ZlHt+hgzkYOaN6dfKPnZdYdnhNeg/xpbzr
  S58IX/oO82XZsWV58MJBRkc7GFo1lj4dB7HEyBDKoFL0HupDr/csLP1WM+J/oWzRbSdHbxxNiRA2
  f3k8AdNASD2Ipa7Td985WHJUafoO86VlmIUNpzdk9OGzHPBiMp991uyjEyeS9RtaWW1cPe49t5fT
  puXcpTRtmtmXUz8//GC2Q9N16ODYsQ726EEGNF7JwBfasWq/gbS8VpOIAMPviGSzZuYsL3V3u5R4
  ibGJsTwee5Ler4Xx+9/2slUrc1Y5dao56Dkc5gwuJobs0NFG+MTz8GHTOi9fnky2Zt9/Tp40MaBU
  KXNQuftu8va+S+jzvg/9BzZikaG+aWlv+CDerJm5YLB5szklWbPGdHUkJJgWSGr/9Pr1Jv2mTUzb
  mCpVMkf5bdvIS5ccDAy28Y03zIbw5ZeZW1uNGqV3X3zxBQkvK59/3rTcREzf7u9brWnBNj6enD4r
  mY9Omk6/EX7strAbE62JrDWlFv8+/TdXfGfnup+sHD3a9JW2e/onIiK9jqJORTFsQhhPXT7FkT+P
  ZM/FPXMM5KOXLyYiwB0nozj7k3jeNKEBp22Zlja984LO9B8RwOrj6jFgZADrT6tPvxF+jE2MpdVu
  Zcu5LVl8RHH6DC3Cz3Z8lq0VlGBNYOUJlbnx6EaS5IX4C2nlsNqtDPkghJ0XdOapy6dYcXxFfr/P
  XFmz2W388UcHP5xykYcOZ96In5z3DvsuH0C/EX48d+VcWnqb3caPfv+IlmEWlv+wPOOSzF56y0d3
  cdT6CTwTd4aXky6n5ZNoTeKydadYf1JzFokoyrtm9kqb5nA4eO7KOadabja7zal0bduSD/YyB4oN
  G0yfe3S02REjIswpsMViuvGyXlj9/XcTdBwOct068tffbJkuUmcsS7ItmS3mtOCojaPYfuYD7DV1
  hFNdD+sOrqPvMF/6vl+My/d8zzNxZ3gm7gwdDgf37jVnMQ6HI9PB1ma3MT45PtOBvVMXK7uOH8Ii
  Dz7GKVPMGVfqxd2xm8bSd5gvm89uQbxdlMXeqMG/Tv3NysNuYaXaJ1mnro2tp9/LW8c/yOLDAxk+
  MZwbjmyg35AQosxO7tpl9juA/HjhOZ6JO8PbOhyn5V3T+e9wOPjkt0+yyBA/ln61A6dNM/tsQgLZ
  7rnVRAT4zrohtFjMWWlGx4+bM+2pU80+/L+BNhbxi2fnnme49pcLLNl1FPHg/XxvzBn+7+vR9Lvv
  Zfo2/IaIAKuMaM7nl7zHMVPOsEJ4HLdtI+f8OYeWYRYWH1GcgSOD6fVGWTaf3ZwDXrDy3q42AuYM
  78QJsw04HGTXuU/SO8KH/yTEMi6OXL7xIMuOLcs1B9YwNjGWdoc9bVtbuTL94vqBAw5aBlVinyEr
  6d2vGREBno83d2Lc8EG8dGlTiRlZ7Vba7DZu2JjM4BIOJtvSW2gOh2lpLF9u+linzzKX1T/b8RnL
  9XuMi5emX2ZPC+JeyRw/3sGmTc34NRv+IV4P4eJl//BC/AXeefcVTphoY5tP2/DVVa/SZrfR7rCz
  34p+LPdhOf6w7wciAgwYGUBEgIgAW3/Sms1nN+cnn5hlNH/3tUxB/I01b7DCuAq894t7WWNyDYZ8
  EMK1B80VtnNXzjEmNob/JPzDV1a+kpZn+8/bs/UnrVlqTCnuObuHMbExDB4dzOlbp/Oxbx7jp9s/
  ZZ+lfdhiTgtWGl+JjWY0YvvP29PusHP61umsOL4i602rl2mH/nrX1wz5IIQ3z7yZaw6soddQL/Zd
  0ZcxsTFcuX8lq0+uzhKjS/CVla+w/eftWWFcBZ67co5vrHmDjWc0ZpH3i/DBrx5M23DPx59nhXEV
  uO3ENvZY1IPlPyzP1QdWs+L4irx55s30H+nP9YfX885P72TgqEBO+X0Kg0cHs8rEKgz5IIRBo4L4
  6//9yosJF9llQRcGjw5mryW9+Nux39hkZpO0ci/fs5yIAN9c+yaTbEmMiY1hTGwMz105l2k4JjaG
  Hed35HPLn2NMbExaOWMTY9OmX0q8RJJ8ZWACQ96rw6hT5laL03GnabWbg7mXlzllrlTJNAAycjgc
  PHXZ3NIUlxTH7ou6s9XHrbJtyxHrI9hjUQ/Oj5rPZrOasfQHpRk4KpDFhhfLdGZyNX2W9uFHv3/E
  VftXsdyH5RjyQQiLjyjOET+P4Om407TZbbz/y/v57k/v8nTcaW4+tpkVx1dk6LhQlv+wPKPPRHPv
  ub0MHFKZ8nZxtn9sS47LiT4TzVvn3Momrc5x7tzUdTTXjry9M9/Nk+r+4XOJfg2ZZEtih/tP0q/p
  YhaJKMagUUH0eq0i5fn6vO02pn38w3ez0tjqmeqwyYS7WK7vEywzOpRSaj9vb5veFD92zJwRPf20
  Gf7zxJ8MHRdKr9cqMXB4CP1G+NH73eL0eqEeg0cHExHgXW/OYsf7zvL2j2/nsj3L0vZRvyGlWbnW
  Wfq/0oK1u37P+3va2WLcA2zx8Dq2/7w9i79fkuhfj7Vrm/93/frpXVX1p9UnIsBtJ7aRJB//5nF2
  mt+JZceWZfERxYkIMGJ9BEnTdZLq8MXDLDG8HMXLwX79yHafteN3e78jmXsQL/BvMYyPB0qVMg+X
  eKXc9X7wwkFU/6g6GpVrhMtJl9GsdBuUDvbD5E6TkWRLgq+PL06eBOzFTuLQyVh0X34bNj21CdP/
  mI55UfMBITY8sQHl/MvhykV/wPcyui7uiFdavISmpdoiMMiBeVuXY8jmV/Bx65/Qf1MntAq9E/2a
  DsCIX9/D2StncfzycQy7cxgW/LUAX9z3BRqXb4x60+qhQdkGqBRYCR/8+gEAILhoML5ocBGdOwNN
  J92NPy6uBYcQZ6+cRf3p9bHqkVV4fe3rEAg6VOuAbae24fXbXkerj1sh0DcQNocN1UtWR4OyDbA4
  ejEuJl7EukfXYc+5Pfh85+doVqEZku3JmHXvrEz1NnDNQEz/YzpuLn8zFty3AJWCKmHn6Z1oOKMh
  yhYvi0EtB2FAswHw9fHFQ0sewp3hd2LohqEIDw5H15pd8e3eb3HgwgEk2hIxou0ITNs6DecTzmNZ
  r2X4evfX+L/Y/8Ovx35F1RJVMbLdSDy57EksvH8hbgm9BUMjhyLmUgxmd50NAKg8oTISbAnwFm/Y
  acfN5W/G9w9/j2/3fIthPw/DnnN78EyTZzCl8xQAwOdRn+OtH9/C5eTL8BIvnHztJIr6FMWpuFNo
  ML0Bzrx+BgAwNHIojl8+jhX7ViDINwgXEy/Cx8sHsYmxqBRUCRcSLsDHy7xSv2HZhriQcAF7zu3B
  a7e+hnfveBfhE8ORZE9K+z8tuG8BOs3vjDPxpzGp4yS0rdIW9afXxz0178Hi7ssRHS24+WYg5nQC
  KpYthivWOCTbk1GyWEn0/64/5myfgw/v+hDf7PkGvx77Fb4+vrg8+DIA05hac3ANHvv2MSTZknBX
  tbvQqlIrVAiogM0xm7HgrwWI6heFcv7lctwPSGLria3otKATdg3YhbL+ZdOm/XHiD7T+pDVsDhtq
  lKqBy0mXcS7+HGwOG4p4F0F4cDh61+sNHy8ffLTlIwBANa922LjlH3zXZxm6dMnx5XkAgBMn0u85
  B4DTp4Fz58w951klJRHdFnXDsSsHse/8PojDgjsvz8awZ25H8y8ro02FLhhe57u09F5+sbhrZSji
  3opDki0JU7ZMwfwdX+LIe5tw+7tDsPbMZ0hOFqzsswo1wopj0mTgyGFg5EigWDHgg00f4Of/+xld
  wh/AmE4R2Hk6Ct0mvYuwzcuw7kcbGsxogIXdl6BqQF0EBgL/JP6DetPq4a/+f6HXkt74+chGVPGv
  h2lNN+J/L1vg42Pu/X9u4DHc8WkbHP7nEJIGO7B5azJ84IvwcKBMOSsCRwfijrA78HTjp9H1pq6o
  PbU2vnv4O9QpXQerD6xGxwUdcW/NezGp4yQ0mdUEC+5bgM41OmPmHzOx9tBaDK62BHXqAGO3vI+L
  CRcxoeOEXN9iWOBb4n//bS5qpVr89+JMrV1EgMGjg1lnah2SZMPpDTn+1/E8d+UcEQH6DvNl+MRw
  Np3VlLd/fLvpF5sYzioTq9BvhB+rTKzCgJEBbDqrKYsOL8qSY0qmTfd5pRYf+eoJBo4yp4yvr3md
  70e+z7UH1xIRYNeFXRkwMoBWe/Z+2rNXzqaVb8WmA0Tx0wwdF0pEgA6Hg90XdeegtYMyzXP80nHW
  mlKLvsN8OXD1QJJkmbFl6PO+D8/Hn+f5+PPssahH2llAn6V92GxWM569kv1m+A1HNvD1Na9nGmez
  29hhXgcuiV5CRIB+I/x4Oekyg0YF8dyVcxy7aSwbTm/I03Hmpu3LSZd5zxf38MSlExy8bjAtwyxM
  sCYwPjme7T5rxwcWP5CW94DvBnDcr+NIZm5hkGSvJb0YNiGMS6KXpPWtpzoff56d5nfihfgL2dbh
  y7+/5Ls/vZs2bHfYaRlmSTuL6Lm4J7/Y+QW/3/c9H/360bQuhDUH1rD3kt459vNvPb6V1SZV48EL
  BxkwMiCt6yFoVBDfXPsmEQFahln44FcPcuqWqXzk60fYeEZjjv91PHef3c1tJ7ax/IflOXXLVNaf
  Vp9Bo4I4YfMEhk0I458n/mTQqCAWH1GclxIvsdSYUvzl6C/cfXY3n//+eZYZW4bf7v6Wj379KBEB
  bj2e3glea0otRp+JzlbeVN/v+57FRxTnnD/nZJvmcDjYc3FPbonZws4LOjPqVBQf+uohbj62md0W
  duOhC4eyzXPokLlwf623213Nqcun2O6zdtx+cjubjOvI5rdfYvUaDvq8E8h+K/plK7ffCD/+k/AP
  W3/SmjUm1+Dus7sZFma6rD78kGw28H0GR4QzfGI4fV4LZ4Ux5nv4xHDWnlKb+8/vz5Tn5Mnm4nJe
  VuxdwddWv5Y2nHpXzfLl6WnCJoRx0NpBrDO1DuOT43kl+QpX7l/JGpNr8LXVr3HwusFp+3jGbe3o
  P0dZ+oPSbP1Ja/Ze0psVxlXgsA3DGDQqiPOi0m/+jz4TzdBxobQ77Dd2d8rCheQ9D5h+oxOXTrDM
  2DL8PeZ3vvPjO0QEWPOjmvz5yM/0H+nPDUc2sOzYsgwaFcRfjv7CulPr8ullT/OP43+w4/yORAT4
  6NeP8tf/+5X9VvTjd3u/44DvBnD5nuVMsCaw28JuaafEJDnu13FpXQu+w3zZdFZT/njoR5LkL0d/
  ofdQb3aY1+GqZX946cMs/UFpeg/1ZoVxFVhseDF6D/XmjK0zWH9a/RxPn212Gx/5+pG0HbrtZ21Z
  YVwFd1YprXYr7/r8LiIC/GT7J+y8oHOe8+w5u4fPLn/2qtMX7FzADvM6cMfJHQwYGZDW10eSS6KX
  cNJvk646779RZWIVrju4jlGnolh9cnXuPLXzX83vcDjYdWFXFhtejC3mtEgb32FeBxYfUZztP2/P
  4RuGs9SYUmzzaRvO+XMOo89Es9GMRrzpo5t400c3sf93/Rk0KojhE8M5d9tc1p1al5GHI0mSneZ3
  YuMZjUmSr6x8JW2elnNbpl0bOHX5FBvNaMRkW3q33q1zbk27JpFVXFIcB64emHaK7i7XcBPIvxIX
  Zy42tm9P3jrnNo74eUS2NNUmVeMzy55h609ap12rSUw0ty86HObhsBo1zK2stWs7V+ZrXa+sF1Gf
  W/4cfd73YfXJ1fnKylfYeUFnhk0I4+trXuf0rdMZOCqQoeNC0+7AyqjDvA586KuHaLPbOGzDMDaa
  0Yi7z2a/FazZrGacsHnCjR3Enx78F4MiKtHhcPDNtW/y5ZUvkyQ/3f4pEYG0VkbLuS3ZfVF39lvR
  jx3nd+Rj3zzGu+fdnZbP8UvH2Wdpn391+9KfJ/5kw+kNue7gOpYcU5KIQNpFt4sJF4kI5Ngyyqjd
  Z+1Y/sPyLDmmJJvMbMJSY0qxzNgy/PnIz7nOl+qlH17KtB7u1HhGY1YcX5Gf77jKjeD/wolLJ9hk
  ZhPWn1afD371oBtKlzOf932ICLD+tPpsObelU/3IWTkcDt700U2ZDkqfbv+UTWY24fFL5kmZaVum
  sfGMxjxy8UiOeXy+4/O0u5Ey+n7f95y4eeK/LlOXBV24fM/yHKf1WNSDiEDa9ZKCZMgQc3FvwuYJ
  aQe6jBrPaJxpP87K4TDPCoSFZb/I+V87e+UsH1j8AI9fOs7QcaEMHBXIK8nmftsdJ3ew0YxGaY26
  axV1KorYLHQrAAAZgElEQVRNZzW9MYO4zUYuWRHLKvfPJSLAX//vV7ac2zJtQ954dCOLvF8krSuj
  5+KerDqpKkf8PIIzts6gZZiFj3/zuNvKgwiw6PCimcY9+e2TOXYDZE3Tc3FPdlnQhY998xjDJoQR
  EUjrssjL6gOrOfvP2ddc7txM3DyRd31+F2MTc7iF4jo1auMoLvzLiZvB8zB321wu27PMDSVyj0e/
  fpSfbv80bdjusPP3mN958vJJBo4KZId5HTLdtXOjSO2OuN79eOjHHM8k3CW3IO7UDyVfj/78E+gz
  5z1YG5rfa77t49sAAM1DmwMA6pepj35N+6VduCrjVwaHLh5CmeJlUL9MfSTbk1Hev7zbyjOi7QjU
  CqmVadzH3T7Oc77ONTrD4m1Bsj0ZPl4+2HZyGwCgZLGSTi337mp3//vCOunlFi/j5RYv/2f5/xfe
  bPWmW/J5qvFTbsnHXUoULYELCRew8/ROlChaAmsOrsGLK19EgG8Aut7UFfN6zMs7kwJo3N3jULZ4
  2bwTeljbKm3Rtkpbjyy7wAbxw4eBYrU2IskrEffUvCctMAf4BgAAgooGYXKnyWnpyxQvk/a3Tuk6
  AIDyAe4L4m/dnsur83LRs07PTMNjNo1BcNHgtIOPUoA5qC/dvRTDNw6Hr7cvKgZWxOx7Z2PD0Q0Y
  0XaEp4v3n/nfrf/zdBGuewU2Uuw7Eoe4ontQxKsIXrrlJdxV7a5c02cM4gG+AQgPDndrS9xdAiwB
  CPEL8XQx1HWmRLES2HRsExb3XIyTcSfxW8xvuK/2fejToI+ni6Y8zKkgLiIdAUyEef/4XJJjskwv
  BWA+gPIAvAGMI/mpe4ua2faTO1AhpC6ebd0VN1e4Oc/0qUE89dTs1RavonnF5v9lEa9JgG8AShUr
  5eliqOtMXLL5NY1utbrB4m3BS81f8nCJ1PUizyAuIl4ApgBoB+AEgK0isozkngzJXgCwg2QnEQkB
  sFdE5pO0/SelBrDvn79xU/UGeKf1O06lz9gSB3Dd7gT+Fn9tiatsetbpCYu3BRZvi6eLoq4zzvyy
  zy0A9pM8StIKYBGAblnSnAIQkPI9AMB5VwP4rl3mF0gefBA4fx7o2dP8ekyjRuaXumOS/0aj0HpO
  51emeBn4FfFDcUtxV4r1nwuwBKCUn7bEVWY1S9XEwNsGeroY6jrkTBAPBXAsw3BMyriMZgOoKyIn
  AEQBcPmWhuho4PffzW9NRkYCP/wALF5sfuNx1iwgMfBvtK/vfBCvUqJKgbgA5G/xR0gxbYkrpZzj
  rgubgwFEkbxTRKoBWCsiDUhm+1nciIiItO9t2rRBmzZtcsww9RfVK1YEFiwwvx1Yr55pnY+ZcBl4
  eTuahebdF57K4m3BKy1e+Rer5Bk9avUAob9Sq1RhFhkZicjISKfSOhPEjwOonGG4Ysq4jFoCGAEA
  JA+KyGEAtQD8kTWzjEE8N6dPA2+/bX749okngCefNOMbNQLiKy1Hm9DbUaJYCafyKkiux4utSqn8
  lbWBO3To0KumdaY7ZSuA6iISJiIWAL0ALM+SZjeA9gAgImUB1ARw6F+VOotTp8wvf99+u/mF9Xvv
  BXad3YU9wRNRtfMK9G7S1ZXslVLqhpBnS5ykXUReALAG6bcY7haRvmYyZwEYBeATEYkCIADeIHnB
  lYKdPg20aQNUrQps3WrGdZj/Kn6L+Q2Xil1Cy0rvupK9UkrdEJzqEye5CsBNWcbNzPD9HIB73Vmw
  1JZ4qrNXzuL3mN8xsu1IvLP+HdQuXdudi1NKqQLpunti88IFYP160xIvm/LKhM3HNmPFvhVoHdYa
  TzZ+EuHB4fASZ3qClFLqxnbdBfHVq4H33wdiYoDQlBsZO8zvgMvJlzG63Wj4FfFDl5pdPFtIpZS6
  TlwXQXz+fMDhAM6cMT/ttHev+cm14inP5dQuXRtbjm9By8otPVtQpZS6zng8iDscwODBwPHjgI8P
  0LCh+Wni8PD0NJeSLmFa52m4teKtHiunUkpdjzwaxK1W4LbbgDJlTDCvUQPYsMH0hYeFmTRD1g/B
  nnN70KdBH3h7eXuyuEopdd3xaBBftcq0vtevN38BIDYWePppwL/KLkzdsh7v//w+ACDQN9CDJVVK
  qeuTR4P4118DjzwCFC2aPu60YxcONH0L0fZl+Gyl58qmlFIFgUfv09u+HWie5Snzp5Y9hZ6tGmHp
  g0sBAOX8y2HvC3s9UDqllLr+eawlnpxs7kKpWzd9XJItCdtPbcfGJzfCx8sHRX2Korx/edQsVdNT
  xVRKqeuax1riu3ebO1CKFUsZPrsbj337GCoFVkIR7yIQEZT3L5/2Iw5KKaWy81gQP3ECqJzh3Yhz
  t8/F4ujFqFayWtq48gEaxJVSKjceC+JWK2BJ+aUpkvhq11cIsASgWokMQVxb4koplSuPBfGDl6Lx
  S51m6LygMyKPRCLZnowH6jyA2iHpL7YKDw5HxcCKniqiUkpd94TMv1+RERGmLm/g7OUYd6Ibapaq
  idNxp9GuajvM7zEfPl4+KOJdBACQaEuEt3inDSulVGEkIiApOU3zWEvcZgPKx9+N6AHRaFSuEdpV
  aYdiRYplCthFfYpqAFdKqVx47hZDuw1FUBw+Xj748bEfIZLjQUYppVQuPBfErTb4iFm8vhNFKaWu
  jce6U5LtNniLx1+iqJRSBZrngrjNCh8vDeJKKeUKz90nbrfBx0svWiqllCs82BK3aUtcKaVc5Llb
  DO0axJVSylUe7k7RIK6UUq5wKoiLSEcR2SMi+0RkUA7TB4rIdhHZJiJ/iYhNRIJzy9PqsKGIBnGl
  lHJJnkFcRLwATAHQAUBdAL1FpFbGNCQ/JNmYZBMAgwFEkvwnt3ytdhuKeGsQV0opVzjTEr8FwH6S
  R0laASwC0C2X9L0BLMwrU5vDBh8N4kop5RJngngogGMZhmNSxmUjIsUAdASwNK9MbdoSV0opl7k7
  it4L4JfculIiIiIAADGbf0Jxa3U3L14ppQq+yMhIREZGOpU2z1fRikgLABEkO6YMvwmAJMfkkPZr
  AItJLrpKXmmvoq394ptoWCsIi54f7FRBlVKqsHL1VbRbAVQXkTARsQDoBWB5DgsJAnAHgGXOFMpO
  Gyz6mlmllHJJnt0pJO0i8gKANTBBfy7J3SLS10zmrJSk3QGsJpngzIJtDu0TV0opVzkVRUmuAnBT
  lnEzswx/BuAzZxdspw0WHw3iSinlCs89du/QIK6UUq7yWBDXlrhSSrnOc0EcNliKaBBXSilXeCyI
  O2iDr7bElVLKJR7tTvHVlrhSSrnEg90pVu1OUUopF3muOwXanaKUUq7yaBAvatEnNpVSyhWeDeLa
  naKUUi7xbHeKRYO4Ukq5wmNBnKItcaWUcpXngrg+7KOUUi7zXBD30sfulVLKVR7tTtFbDJVSyjUe
  C+IQ7U5RSilXeSSIkwC8rbDoj0IopZRLPBLE7XYAXvrLPkop5SoPB3F9YlMppVzhkSDucADwssHH
  S1viSinlCo+1xMVbg7hSSrnKo90pGsSVUso1GsSVUqoA82gQ9xZvTyxeKaVuGE4FcRHpKCJ7RGSf
  iAy6Spo2IrJdRP4WkfW55We3AxS7tsSVUspFeUZREfECMAVAOwAnAGwVkWUk92RIEwRgKoC7SR4X
  kZDc8rTbAYgdXuK5B0aVUupG4EwUvQXAfpJHSVoBLALQLUuahwEsJXkcAEieyy1D051ih7eXdqco
  pZQrnAnioQCOZRiOSRmXUU0AJUVkvYhsFZFHc8vQbgcAh7bElVLKRe7qlPYB0ARAWwDFAWwWkc0k
  D2RNGBERgfPnCfzlwMYNG3HnnXe6qQhKKXVjiIyMRGRkpFNphWTuCURaAIgg2TFl+E0AJDkmQ5pB
  AIqSHJoyPAfASpJLs+RFkti9x4E6i3zACMe/WC2llCqcRAQkJadpzvRnbAVQXUTCRMQCoBeA5VnS
  LAPQSkS8RcQPQHMAu6+WYbLNDlC7UpRSylV5dqeQtIvICwDWwAT9uSR3i0hfM5mzSO4RkdUAdgKw
  A5hFctfV8rTa7BDqRU2llHJVnt0pbl1YSnfK5j/i0XJZCBzD4vNt2UopVVC52p3idla7HeLBHxVS
  SqkbhWeCuHanKKWUW3gkiNvsDkCDuFJKuUy7U5RSqgDzWEtcoC1xpZRylQf7xLUlrpRSrvJgd4q2
  xJVSylWe607RC5tKKeUyz3Wn6IVNpZRymYda4tqdopRS7qB3pyilVAGm94krpVQB5rHuFC9tiSul
  lMs8E8Qd2p2ilFLu4MGWuHanKKWUq/TCplJKFWCea4nrL90rpZTLPNQnrveJK6WUO3isO0XvTlFK
  Kdd5rCWu3SlKKeU6j0RSu0PvE1dKKXfw2H3iXqJBXCmlXOWZlrjenaKUUm7hVCQVkY4iskdE9onI
  oBym3yEi/4jItpTPO7nlZ9PuFKWUcgufvBKIiBeAKQDaATgBYKuILCO5J0vSn0l2dWahdodDW+JK
  KeUGzkTSWwDsJ3mUpBXAIgDdckgnzi7U3J2iLXGllHKVM0E8FMCxDMMxKeOyulVEdojI9yJSJ7cM
  7XphUyml3CLP7hQn/QmgMsl4EekE4FsANXNKGBERgZ3rd+G87EFkZCTatGnjpiIopdSNITIyEpGR
  kU6lFZK5JxBpASCCZMeU4TcBkOSYXOY5DOBmkheyjCdJ9Hj3S+wvshR/v7fYqUIqpVRhJiIgmWOX
  tTPdKVsBVBeRMBGxAOgFYHmWBZTN8P0WmIPDBVyF3eGAt3anKKWUy/LsTiFpF5EXAKyBCfpzSe4W
  kb5mMmcB6Cki/QFYASQAeCi3PO362L1SSrmFU33iJFcBuCnLuJkZvk8FMNXZhdocdm2JK6WUG3ik
  OezQ7hSllHILzzx2T+1OUUopd/DQWwwd8PbSlrhSSrlKW+JKKVWAeex94toSV0op13nmwib1wqZS
  SrmDx7pTvL20O0UppVzloZa4dqcopZQ7eO7uFO1OUUopl3mwJa7dKUop5SoP9olrS1wppVzlsbtT
  fDSIK6WUy7Q7RSmlCjDP3SeuLXGllHKZ3ieulFIFmGda4rBrn7hSSrmBdqcopVQB5rELmz7anaKU
  Ui7zXHeKt7bElVLKVXqfuFJKFWAeCeKE3p2ilFLu4LmWuHanKKWUyzzWJ+7trS1xpZRylVORVEQ6
  isgeEdknIoNySddMRKwicl9u+RF2FNE+caWUclmeQVxEvABMAdABQF0AvUWk1lXSjQawOq88HbCh
  iI/Pvy+tUkqpTJxpid8CYD/JoyStABYB6JZDuhcBLAFwJq8MHWKFxbvIvyqoUkqp7JwJ4qEAjmUY
  jkkZl0ZEKgDoTnI6AMkrQ4oVFh8N4kop5Sp39WlMBJCxr/yqgTwiIgJJ2//CGvqgvldptGnTxk1F
  UEqpG0NkZCQiIyOdSiskc08g0gJABMmOKcNvAiDJMRnSHEr9CiAEwBUAz5FcniUvkkSxZzpj+lPP
  44nbuji5SkopVXiJCEjm2Dh2piW+FUB1EQkDcBJALwC9MyYgWTXDwj4BsCJrAM/IIVb4aneKUkq5
  LM8gTtIuIi8AWAPThz6X5G4R6Wsmc1bWWfLMU/vElVLKLZzqEye5CsBNWcbNvErap/LMT1viSinl
  Fp55d4qXFb5FNIgrpZSrPBfEtSWulFIu80wQF22JK6WUO3jmLVTaEldKKbfQPnGllCrAPNYSL6pB
  XCmlXJbvQZwE4K3dKUop5Q75HsTtdqT0iVvye9FKKXXDyfcg7nAA8LaiiL6KVimlXOaxlngRLw3i
  SinlKs8EcW2JK6WUW+R7ELfZCIgD3pL+G5vh4eEQkRviEx4ent9VqpQqxPL9hy4TrVbA4QOR9Ffj
  Hj16FHm917ygyLheSin1X8v3lrgJ4tqVopRS7pDvQTzJaoVoEFdKKbfQIK6UUgVY/gdxm3anKKWU
  u3imJU4N4kop5Q4eaYkXtO6UixcvokePHvD390eVKlWwcOFCTxdJKaUAeOAWwySrFV4FrCU+YMAA
  FC1aFGfPnsW2bdvQpUsXNGrUCLVr1/Z00ZRShZxnWuIFKIjHx8fj66+/xvDhw1GsWDG0bNkS3bp1
  w7x58zxdNKWUyv8gnlzAgvi+fftQpEgRVKtWLW1cw4YNER0d7cFSKaWUkf/dKbZr605xx4OQ1/JQ
  aFxcHAIDAzONCwwMxOXLl10vkFJKuciplriIdBSRPSKyT0QG5TC9q4hEich2EflDRNpeLa9rbYmT
  rn+uhb+/Py5dupRpXGxsLAICAq4tQ6WUcqM8g7iIeAGYAqADgLoAeotIrSzJ1pFsSLIxgCcBzLpa
  fkm25AJ1YbNmzZqw2Ww4ePBg2rioqCjUrVvXg6VSSinDmZb4LQD2kzxK0gpgEYBuGROQjM8w6A/g
  3NUyu2KLK1BB3M/PD/fddx/ee+89xMfH45dffsGKFSvw6KOPerpoSinlVBAPBXAsw3BMyrhMRKS7
  iOwG8AOAl66W2fnEM/B2FP+35fSoqVOnIj4+HmXKlMEjjzyCGTNm6O2FSqnrgtsubJL8FsC3ItIK
  wDwAN+WUbtUX85F0LA4RERFo06YN2rRp464i/GdKlCiBb775xtPFUEoVEpGRkYiMjHQqreT1Hm8R
  aQEggmTHlOE3AZDkmFzmOQjgFpLns4xnh+lPYPeW8jj68ciM42+o94nfKOuilLo+pMSVHO/Rc6Y7
  ZSuA6iISJiIWAL0ALM+ygGoZvjcBgKwBPNWZxGPwtYc4W3allFK5yLM7haRdRF4AsAYm6M8luVtE
  +prJnAXgfhF5DEAygCsAHrpafmeTYhBkL+We0iulVCGXZ3eKWxcmQt/3/VB/z2JsXdAl4/gbpgvi
  RloXpdT1wdXuFLdKcsSjVDFtiSullDvkexAHgHKB2ieulFLu4JEgXiFYg7hSSrlDvgfxBjvWoWJI
  cH4vVimlbkj5HsTjdrZDyZL5vVSllLox5XsQP3YMKFXArmtOnToVzZo1Q9GiRfHUU095ujhKKZUm
  398nbrUWvCAeGhqKd999F6tXr0ZCQoKni6OUUmnyPYgDBS+Id+/eHQCwdetWHD9+3MOlUUqpdB65
  O6V0aU8sVSmlbjz53hK/dAnw8/v388lQ13+fjUP0SUql1I0l34P4tf6qmQZgpZTKziPdKUoppdxD
  g7gT7HY7EhMTYbfbYbPZkJSUBLvd7uliKaWUBnFnDB8+HH5+fhgzZgwWLFgAPz8/jBgxwtPFUkqp
  /H8VbU7Lu5Fe33ojrYtS6vpwXb2KVimllPtoEFdKqQJMg7hSShVgGsSVUqoA0yCulFIFmAZxpZQq
  wDzyFsOswsLCIOL6u1GuB2FhYZ4uglKqEHHqPnER6QhgIkzLfS7JMVmmPwxgUMrgZQD9Sf6VQz45
  3ieulFLq6ly6T1xEvABMAdABQF0AvUWkVpZkhwC0JtkQwHAAs10r8o0vMjLS00W4bmhdpNO6yEzr
  I2/O9InfAmA/yaMkrQAWAeiWMQHJ30jGpgz+BiDUvcW88ejGmU7rIp3WRWZaH3lzJoiHAjiWYTgG
  uQfpZwCsdKVQSimlnOPWC5sicieAJwG0cme+SimlcpbnhU0RaQEggmTHlOE3ATCHi5sNACwF0JHk
  wavkpVc1lVLqGlztwqYzLfGtAKqLSBiAkwB6AeidMYGIVIYJ4I9eLYDnVgillFLXJs8gTtIuIi8A
  WIP0Wwx3i0hfM5mzALwLoCSAaWJu+LaSvOW/LLhSSql8fp+4Ukop98q3x+5FpKOI7BGRfSIyKO85
  CjYRmSsip0VkZ4ZxJURkjYjsFZHVIhKUYdpgEdkvIrtF5G7PlPq/ISIVReQnEYkWkb9E5KWU8YWu
  PkTEV0R+F5HtKfUxMmV8oasLwDyHIiLbRGR5ynChrAeXkPzPPzAHiwMAwgAUAbADQK38WLanPjB3
  6DQCsDPDuDEA3kj5PgjA6JTvdQBsh+neCk+pK/H0OrixLsoBaJTy3R/AXgC1CnF9+KX89YZ5rqJl
  Ia6LVwHMB7A8ZbhQ1oMrn/xqief5wNCNhuQvAC5mGd0NwGcp3z8D0D3le1cAi0jaSB4BsB+mzm4I
  JE+R3JHyPQ7AbgAVUXjrIz7lqy9MA+ciCmFdiEhFAJ0BzMkwutDVg6vyK4j/2weGblRlSJ4GTGAD
  UCZlfNb6OY4btH5EJBzmDOU3AGULY32kdCFsB3AKQCTJXSicdTEBwOsAMl6YK4z14BJ9Fa1nFaqr
  yiLiD2AJgJdTWuRZ179Q1AdJB8nGMGcjt4tIGxSyuhCRLgBOp5yh5Xbr8Q1dD+6QX0H8OIDKGYYr
  powrbE6LSFkAEJFyAM6kjD8OoFKGdDdc/YiID0wAn0dyWcroQlsfAEDyEoAfADRF4auLlgC6isgh
  AAsBtBWReQBOFbJ6cFl+BfG0B4ZExALzwNDyfFq2JwkytzKWA3gi5fvjAJZlGN9LRCwiUgVAdQBb
  8quQ+eRjALtITsowrtDVh4iEpN5xISLFANwFc8GuUNUFybdIViZZFSYe/ETyUQArUIjqwS3y6woq
  gI4wdyXsB/Cmp6/o5sP6fgHgBIAkAP8H806ZEgDWpdTDGgDBGdIPhrnivhvA3Z4uv5vroiUAO8xd
  SdsBbEvZHkoWtvoAUD9l/bcDiAIwMGV8oauLDOt3B9LvTim09XCtH33YRymlCjC9sKmUUgWYBnGl
  lCrANIgrpVQBpkFcKaUKMA3iSilVgGkQV0qpAkyDuFJKFWAaxJVSqgD7f3LWS+xdI6UNAAAAAElF
  TkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f79855e59d0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd4VMX6B/Dvm4RAgACh9xYQEJEiAsJFAihNBREsSLFx
  RRRF/F0FriLhSlexAAIBVHoRpJcgJVJEaaETeif0AIGEJLv7/f0x6dkkC7tkCbyf59knOXPmzJkz
  e/bd2TlNSEIppVT25OHuCiillLp7GsSVUiob0yCulFLZmAZxpZTKxjSIK6VUNqZBXCmlsrFMg7iI
  TBaRCyKyO4M8P4rIYRHZKSK1XFtFpZRS6XGkJ/4LgJbpzRSR1gD8SVYG0APAeBfVTSmlVCYyDeIk
  NwKIyCBLOwBT4/P+AyC/iBRzTfWUUkplxBVj4qUAnE42fTY+TSml1D2mBzaVUiob83JBGWcBlEk2
  XTo+LQ0R0Ru1KKXUXSAp9tId7YlL/MuexQC6AYCINABwjeSFDCqiLxIDBw50ex3ul5e2hbaFtkfG
  r4xk2hMXkZkAAgAUEpFTAAYC8DbxmEEkl4tIGxE5AuAWgLcyK1MppZRrZBrESb7uQJ5erqmOUkqp
  O6EHNt0kICDA3VW4b2hbJNG2SEnbI3OS2XiLS1cmwqxcn1JKPQhEBHTywKZSSqn7kAZxpZTKxjSI
  K6VUNqZBXCmlsjEN4koplY1pEFdKqWxMg7hSSmVjGsSVUiob0yCulFLZmAZxpZTKxjSIK6VUNqZB
  XCmlsjEN4koplY1pEFdKqWxMg7hSSmVjGsSVUiob0yCulFLZmENBXERaiUiYiBwSkb525hcQkd9F
  ZJeI/C0ij7q+qkoppVLLNIiLiAeAMQBaAqgOoJOIVE2V7b8AQknWBPAGgB9dXVGV9cLCgEuX3F0L
  pez76y/AZnN3LdzPkZ54PQCHSZ4kGQdgNoB2qfI8CmAtAJA8CKC8iBRxaU1VlhswAJgxw921UMq+
  9u2BXbvcXQv3cySIlwJwOtn0mfi05HYBeAkARKQegLIASruigsp9jhwBzp51dy2USstmAy5fBo4e
  dXdN3M/LReUMB/CDiOwAsAdAKACrvYyBgYGJ/wcEBCAgIMBFVVCOsNmAW7cAX9+ktMhIIE8ewCPZ
  Vzppgni1avbLIc2HqIj+3kohKgqwWIB8+dxdk5RIMzRWtKiZvnABKFbMvXVyxtWrZl8+ciTtPBLY
  vRvw9AQeeyzr6+YKISEhCAkJcSwzyQxfABoAWJlsuh+AvpkscxxAXjvpVO41eTLZoEHKtHbtyCFD
  UqadP08CZJMm9ssZP97MVynVqEE+8YS7a5HWpk1kiRJkTIyZBsg5c9xbJ2fs22e24Z130s7bvZvM
  nZssVIhctCjr63YvxMdOu/HWkZ74VgCVRKQcgHAArwHolDyDiOQHEEUyTkT+DeBPkjcd+xrJXhYt
  AqpXB/z9gS+/BMLDAT8/oGFD4JFHzLxz54C1a4EuXYAVK4D589OW88QT5m+xYkDJkkCDBsD33wN7
  9yblad8eCA4GOnQAmjQBoqOBKVNMj3nLFiBHDuDFF4HffkvK/9xzQGws8PnnQESEKbt6dVN+uXLm
  YNDff5u65coFFC5s0v76Czh2LGndV64ABQua4ZQVK0wPLqHOq1YBQUH22+fKFWDgQFN+gwYmbcsW
  0ztt2BAYO9ZsR48eZsz95k2gQgVTXwCYPBnYvNls48CBpl4NGwKlSgGHDwMHDwLPP5/5+2SzAT/+
  CHzwgWmnJUvMe5eeBg2AmBjgzTdNHQ8dSpr3738D9esnTY8aZern6WnGZHPmBF54AZg3D9izx7Q3
  YHrlX3wBtGwJlChh9otWreyv/+BB4Ntvgf79gfLlgU8/BW7cAD77DKhUKfPtBYCVK837/fjj9ssP
  DwcWLADatjVpX34JbNgAfPUVUKCAY+tIMH262ScWLDDbWCrVAOvMmeYzIGK2qWLFlPMT3p9y5Ux9
  /f1N+qJF5r1K7sMPgZo1gcGDgRMnTHs//7xp/+Bgs3/Vq5eU/+RJ4Omngc6dTfutWgUMGgQUKmTm
  T5gAbN0KeHsD7dolfX4SvPQS0KZN0rTVCowbZ/YlkbRtQZr37pNPUv6adca33wJeXkDv3g5kTi+6
  M2UPuhWAgwAOA+gXn9YDwLtM6q0fBHAAwDwA+dMpJ0u+tSwW0mYz/yf/a7ORVqt52ctvsZBxcUn5
  4+JSviwWsmVLcuJEMjiYrFLF/F+3LunpaXq0cXFk795kzpzkxYtkq1Zknz4mX8IrKIgsUMD0JACy
  fn0yLIwsUiQpz4ABpswqVcjHHjP1WbPG5M+Xj5wwgXzpJZPno4/I7t3JLl1M3adNI5980pTzyCMm
  T/fupm41apjeeMJ6Hn+cLF6cXLw4ZR0nTiRXryZ9fJLqabWaMipWTEpL3VaBgabO9esntXPXrmSt
  WuTRo2TBgmZ9PXqQAQGmLXLnJiMjyXPnTLtMmGB+AQQFkeXLm+0jyf/+1ywbFZX2vUn9WrkyqbcZ
  FWV6od9+m3YbJ0406/P1Nfl79iRLlkya99lnZMOGSdsYG0vmyUP6+ZmeXlAQ+dxzpo0//ZT86SfT
  PqT5tVK1KlmhAtmiBVm2rNmH7O1zL79s1j9jBnnokNnOt94ybZdawnIJ4uLI27dN+a1apd1nSbJ/
  f7J2bbJRI9NTrVDB7CfPPksOH555eyZ8juLiyPBws397eprt+/DDlHmvXjXtM3Ys2bQpOW5c0jYn
  5Fmxwmyvpyf55ZdJ5TdpYto8of0/+sh85q5fN/tJUBBZrZp5n9q0MftEw4Yp1z9+vOmhx8WZ9mzT
  xuyXcXHkqVOmbkFB5IsvmvX37p20vpEjyTJlyOjopFiwe7epa3BwytiRsL5Ll8z8Awfsx6PU71dy
  9uLR/v3mc+Lrm7QcMuiJOxTEXfXKiiC+ezeZKxf5+eem8Ro3Jjt0IF94gaxenXzqKfMm3bpl8p84
  YYJimzZk/vykiNnB2rYlPTzMm5zwypePrFzZ7PgJHziSXL7cLF+unMlXsKBZp6+v+cCfO5e2nv/9
  L/n666acWrXMckOHJs23Wsmnnyb/+cd8UNq2NR/s0qXNTk6SR46QdeqYHW7JElOH8eNJb2+zDaT5
  oL74ovmC8PQ0fxN+UpPkggXku++m357585vtAkwAKFvWfNDq1UsK5C1amHbz9DTbvHOn+XKoUcPs
  hFWqmOU8PcmBA8lvvjEfyM2bzTrq1TPb5uFBfvKJSRszxnwp5slj2jMyknzmGfPeJX9P0nt5eZkA
  6O1tptu2zXi/+c9/zJegjw/5/fdJ6XFxZp1t25ptLF7cbM/QoeSgQSbP3r1mG+LiTNt6e5MjRphA
  FxJi6l2xohlmWbgw7T7n6UmWKmXWX7u2adOOHckrV8yX2oULKevarZtZ/tQpctkys62enmSzZqS/
  f8p2yJPHBIWXXyanTjWfAYBs3dqUtWMHmTdvxm0pYj5PQUFJ73OHDqauBw+aL7PUy7z9til/+HDy
  //7PdGiS50t4f8qXN188b75pyvf1NdudIDrabFPx4uazS5Iff2z2px49TJs/9ljKuvr5mS+GBHv3
  mvZKyNOvn0k/fNi8J7dvp2zf1q2T6rhkCTlpknl/vLzM5+fqVXL+fLMuDw+yUiXTplOm2N+3unc3
  23X8eMr06Giz/fXrJ32JkeQHH5hOnL+/GTYiH7Ig3r27+fZv0IAcNsw0PGD+enmZBm/TxgSu0aNN
  b/btt82O/OGHJsi0a2d2muTBjkx6s/z87I/FpfbZZyboZmTtWlNm+/bp5xkzJqnXMmuW/TybNpmd
  wd+f/OuvzOvmqDp1zLoPHzaB6LnnkuaVLZtUr/DwlMvZbOYXSp8+JpAk9Grs6dXLBMbkO/KWLabs
  Z54x79HYsfYDWlYYOtR8WE+eNL9wunXLOH+FCubLYNeulOkJPd9+/VLucwkGDDCBHyC//tqkvfOO
  OV5x7Zrp5X/7rflSe+stE0jr1El/n0gos00bEyy2bDFtDNzZuP3CheTzz5Pvv0/+8IPjy5HkvHmm
  M9KlS1JgT+7cObN/+PiY97dy5bR5rFbz2evd20zPnGm2YcCAtHkXLTLzJky4s3raM2eO+aJq2pT8
  8UeT1rmz+cLp1s302o8fN+sTMfvq6NEpX999Z7br7bdNZyr5vPffN/tD1armS3L0aLMePz/yzBmy
  UyfzPo8e7fyYeLZBmvG04GCgVi0zJrx0KXDmjDn7IuFofLFiwE8/mYtZypQB+vY1Y2ANGpgxzkGD
  zHiht3fK8itVMkfDIyKSjvJn5P/+L+VYqj0JY4kZjXu+8Qbg42Ne6Y2pFixoxtN9fZPGol2hUiVg
  xw6gdGlg4sSUZzQULQrcvg189x1QvHjK5USAMWOAadOA4cPN+F563nsPePnllOONtWqZceGmTc0Y
  6EsvmbFiR9rd1Xr2NNtftqwZL89s3POLL4Dr19OOTb/8stkntmwxY7IJ+1yCggXNuHy9ekCn+KNO
  H3xgxrCvXgX++ceMDY8fDzRqBIwcCVStatomPR99BAwdavI99php4z//NPuSoxL2+9hYc8zlTlSq
  BKxfDzRrZo53pFaihBm3rlrVnC5YtmzaPB4ewKRJSe99ixZmu9qlvloFwJNPmr+px+jvRvv25hjH
  tWtJ6xo0CHjnHdOGISFmTL9IEXPco0ABE1NSGzcOCAgwn4Pk80WAb74x5c+da/4C5n0tVQp4/31g
  9mz7ZaaQXnS/Fy/cw574yZPmm65YMdPbqFHDDBXcqYsXTQ/pzJm083r1ShpCGDXK+TqT5M2bruk5
  XLhgynnySdfUK0H//uZnsD2tW5thqnvNZjM/mSdNuvfrutcSesb2TJli3sPx41OmN25shmgOHbr3
  9bMnKsoMUZYrZ4ZP7kRkpNmmkyfvSdXsKl/eDKHcK0eOmBhx44aZbtuWnD793q2PfEh64mPGAAsX
  mrMERMwZDnny3Hk5RYoA58/bX9bf3/QKbDbX9Qjz5AHy5086On+3/PzMX1f0QJKrVCn9MosWNb3H
  e82Z9/N+M3Cg6W3bk9CWqfetZcvMrz97vdSs4ONj6nbypPk1dCfy5k060ymr7NiR9Hm4F/z9U8aI
  adOA3Lnv3foy88AE8QULzClICRenOPOBT2/ZgABz6tzUqa79Wf/OO2b4wBk5cpihFFcH8caNzQ5r
  T8uWSadt3Wt582bNeu41T8/0P/DpBXFf35QXZ7lDly5mP0g9xOiIrAzgwL0N4AmSxwh3X9glpqee
  RSsT4b1YX1yc2cmvXzfjp/dSQm8kNNT5wOtq5cub86/793d3TdTdCAsznZCDB801B0olEBGQtHOW
  +gNyP/FTp8wBknsdwIGknqc7DrBlpmBB1/fEVdZJryeuVEYeiCB+5IjjV7U5K08ecwS8cOGsWd+d
  qFUr6WpBlf34+Zl9K39+d9dEZScPxHDK2LHm9Lpx41xetFIPDavNCg/xgNi7tly51QM/nLJnD/Co
  PktIOclqs2Lz6c24GftA3vYnU31X90XBkQVhtdm9Aam6Tz0QQXzLlqST/FXGImMiceDSAafKOBZx
  DJejLrukPqHhoTh69ShOXDvhkvLu1OErhxEeGY6jV4/irUVvod3sdmg5vSUm75iM8zfTOS0nA2dv
  nMXRq9nzJtcR0RG4dvsatp7b6u6qqDuQ7YN4dLQ5qp/emSI3Y29i+u7pWHJwCSKiI9Itx0YbBq8f
  jOWHlwMAYq2x+Dn0Z2TlcFNG9l7ci61nnf9wjds2Du3ntE+xXRabBRO2TUCsNTZF3g0nN+BYxLHU
  ReCNhW9g+MbhidNbz27F/kv776o+dYLqoNLoSuj8e+e7Wv5OXI66jPn752PU5lHot7of9lzYgzcX
  vYkW01ug8++dEWuNxf4P9uPZis9i1t5Z+CT4E/x1+i/subDH4XVUGVMFTX5tAsC065SdU+6bfSgz
  l6IuIadnTrvvuUpfyIkQHLlq58bmWSTbB/HgYKBuXXNbVRttCAwJxMVbF3Eu8hxen/86Gv/SGF0X
  dMXLv72Mn7b+BMBcpTp4/WCcvZH02JqDlw9i9JbReGPhG9hzYQ++XPcl3ln8Dv46/RcOXTmEKTun
  2F1/dFw0/rPqPxl+QbjChG0TMGnHJLvzvtv8HU5fNw9f2np2KzrO7Zhub3D1sdU4FnEMq46uwo//
  /IjNpzfj8zWf4+Pgj9FnZZ/EfCTx9uK3MTBkYIrlD105hC1nt2DN8TWJae8vfx9vLXoLr857FV0X
  dMXV6Ktp1jt843AcvXoUX6z9InH+1eiryOGRAz2e6AGLzYLX57+OjnM74uS1k4nLXYm6gi6/d8Gs
  PbMcbKmUdZ2wbULi9K87f0XH3zpi9t7ZsNGGZ6Y9g+MRx1G7eG0cv3YcU9tPReHchREYEIi5L8/F
  8sPL0ejnRvhk1SeYu28uOs3vlKJu3//9PS7cvIAzN86g3+p+OHX9FG7F3UKRPOZJGXsv7sWbi97E
  1399fcd1P3j5IMZsGXPHy2XEYrOg/+r+OHPjjN354TfD0ahsIw3id6jNjDaoPLoyLDaLW9afbYP4
  //4HvPKKuRfFe++ZtAnbJmDQn4Pw277f0HFuRxTNUxSDAgbh4/of45FCj2DKLhOI5+2fhwHrBmD1
  sdUAgBm7Z6D7ku5oUq4J+jTogx//+REz9szAO7XfwaTQSfht32/ovbI3Gk5uiDhrXIp69F/THzP3
  zETvlY7c+Det/wv+P8zZOwcAsP3cdtSZUAdTd01Nk297+HaE3wxPk37p1iX0Xd038SfwkkNLMP/A
  fKw4siJFPhtt6LGkBzae2oip7afilXmvYNjGYWg9ozVm75uNvT334o9jf6D+pPqIiovCwrCFAIDF
  BxfjVuytxHKWH16OLjW64HjEcYRHhmPd8XU4f/M8Dl85jCqFquBq9FU8N/M5PBH0BELDQwEAR68e
  xZfrvkTtCbUxZMMQ/H3mbwBmKOWpMk/h04afYsvZLdh9YTdirDFYELYgcX3vLXsPq4+txtz9c2Gj
  De8ueTfx15I9ty230WFuB/RY0gM9l/XE/9b/L7EnvP7kegxrPgzBXYIx8tmR+P2V37H2jbWY+MJE
  bHhrA7w9k65kKehTEGvfWIs5Hedg27lt6LW8Fwr7FEaXBV0AALdib+GzPz5D29ltUWdCHUzbPQ2P
  /fQY3qj5Bq7fvg4ACLschkZlGuG7v7/DjvAdiWV3mt8Ja46tQUbm7Z+HD1d8mLhvOOt4xHE8OvZR
  /LrrV/RY2sNunvDIcDQq0wjHI47jk+BPcPjKYbv5fg79GQPWDgBgvoj/9fO/UGt8rcRt/PPEn6g5
  viaWHlrqkrqnp93sdui+uDvqTKiD8Mi0n4309P2jL8Iup7whyS+hv+D7v78HYN7bbgu6ORyUS/qW
  RA6PHCne4yyV3vX49+IFF907Zc8ec3/oOXPMfbDNvZltrDK6Ct9c+CZ9Bvuw7ay2tNrMjXrjrHG8
  GXOTPoN9GBkTyU7zOrHIyCIcFDKIq4+uZuGRhekxyIPDNgzjuRvniEAQgeCFmxdYYHgBNp/SnEW/
  LkoEgrvO76LNZmOMJYbnbpyj33A/7ji3gwWGF2DwkWA2/rkxj1w5wsiYSJLk2Rtnuf7EeuYdmpfe
  X3nT+ytv5huWj2uPrWW1MdWIQLDj3I4cun4oc36Vk/3+6MeKP1Tk8YjjjLHE8NjVY6w1vhYRCNYN
  qkuL1cIYSwyj46IZHRfNrzd9TQSCY/4ZQ5J8ee7LbPJLE7618C2S5KVbl3jq2in+Gvornwx6kscj
  jpMkT147yYjoiMS/JHn99nXWm1iPCw8sZJGRRbjx5EY+Pu5xbju7jSQZY4lhi2ktOGfvHL698G0O
  3zCc/j/4c+nBpbx++zpJcvPpzawyugp//PtHen/lzRbTWjD3kNz8Ys0XPHT5ELst6MaxW8byeMRx
  5h6Sm/1X92esJZYegzz4wbIPOHvPbLaY1oLBR4JZdUxV+g3346ojq9hgUgNO3D6Rj/30GPMOzcun
  f3mahUcWZs6vcvKbTd/wRMQJnog4wXFbx7HgiIIsPLIwEQhKoHDvhb1sO6stfQb78OLNi3e0r9ls
  NtYeX5sLDyykxWph2e/KctWRVZyxewbLjCpD/x/8uf3cdt6Ou82wS2G8HXeb3l95MzImkgPXDeQX
  a77gsA3D+M6ipNteJuxfXX7vkpg2Z+8c+gz2Yc+lPdlmRhu+MPMF9v2jLwsML8DouOg7/YikMWvP
  LLac1pL7Lu5jhe8rpJlvtVmZ4385uPzQcj4x4Ql6DvJkjyU9ePbG2RT5WkxrwSIji7DqmKos+11Z
  frLyE744+0V+ufZLdp7fmSQ5fMNwNpvSjEVGFmHOr3Lyj6N/3HF9T0ScYNnvyrJuUF3W+KlG4n6b
  wGK1EIFg2e/K8pmpzxCB4H+C/2O3rBhL0u1IrTYr8wzJw7cXvp2YfjziOP2G+7HA8AL0G+7HehPr
  EYFgxR8qMvhIMC/cvMA6E+okfqaTi7PG0fsrb/ZY0oP9V/fnD3//wIBfA3j06lHejLmZ6XZO2j6J
  1cZUS7NtDSY1YPCR4MQ0PGj3Thk7Fnj3XdMTT7AjPBRWWjG46WCcv3keU1+cCg8xPzS8PLzg5e2F
  yoUq44+jf2DN8TXoXqc7hm0chtw5cuOXdr9gzbE1aOnfEiV8S2BUi1E4ce0EiuYpiucqP4cZe2bg
  YK+DCAwJxI7wHdh5fifeWPgG8uXMh66Pd0XtErVROl9pvLf0PRTIVQDNpjYDSXzx9Bf4YPkH8PLw
  wvDmw/FeXfOTYdnhZfj0j09xNOIoZnWYhaDtQfjhnx8Q2iMUVQtXRdiVMDwR9ATqlKiDDSc3oF3V
  drh++zrORZ7Dq/Nexc7zO3Hh1gXk9c6La7evoYV/C5yLPAcAOHD5AD6s9yFGbR6Fjac2ovWM1sjh
  kQPRlmj89vJvKF+gPACgbH5zI44CuZIe6ZIvZz608m+FPsF9UK9UPTQq2wjVCldD2OUwPFHyCby5
  8E0cvHwQzSo0Q0nfkug0vxNuxd5Cm8ptEk9La1C6AQ58cAAigm41u+G1+a9hRecVaFy2MUQEjxZ+
  FDvP78SNmBt4seqLGNJsCEQEZfOXRZ0SdfBMxWcwMGQg3lv6HpqWb4ryBcrDv6A/wiPDMX7beHzz
  7DdoWqEp3lr0FnrW7Ym6Jeuiw9wO+HHLjwAAD/HArA6z0LhsY7wy7xUUyV0EL8x6AeULlEdE3wjk
  9LqzK8JEBNvf3Z64fZ83/hzdl3QHAPT7Vz/0rNszcV6VwlUAmOMpvsN8UbdkXXxc/2M0r9gcNcbV
  QK/zvRLbO4dHDvxx9I/E9YzaPAr1S9fHuG3j4JfLDxG3I/Bti2+x4sgK7LmwB0+WehKnr5/GwSsH
  AQB+ufzwRMknMqz71eirOHDpABqWaYiwy2F4suSTKJG3hN3hrstRl5EvZz7UKl4L28O3I5dXLmw4
  tQGPjn0UA5sMRJ+n+mDn+Z04cOkAznxyBl4eXvhp60/4/u/vMbPDTFT0q4jy35cHSZy+cRrtqrRD
  t8e74c1Fb6Y7PLMjfAeK5TG3xSyVL+kqtZ3nd6L74u74sN6HOH39NNYcX4OfQ3/G/5r+LzHP2ciz
  KOlbEid6n0DQ9iCsPrYaG05tSLMOq82K6j9Vx7T209CgdAMcvnIYPjl8sOn0JjSd0hSDAgZh7r65
  6Pp4V0TFRaFyocrou7ovqhSqgrzeeTF843DUKFoDO8J3YMTGEWhXtR3qlqybWP6ZG2dQNE9RdHqs
  E95Y+AZ8c/qiepHqCPg1AF4eXhj33Dh4eniiQekGyOudN03d+gT3QWRsJK7dvpa4b6w+thqnrp/C
  O4vfwYrOKzI/wJ5edL8XL9xlT3zfPvOwh2++IQcPNvfnPZuyg8ARG0ew17JeGZbTYU4HIhDs+ntX
  /nH0DyIQnLdvXobLXIm6wncWvUOrzcpvNn3DFtNasPX01ok9sgQTtk1gx7kdE7+tP1/zOREITto+
  iR8s+yCxt0uSF25eYM6vcjLfsHzcf3E/JVDYYFLKB1/+c+YfIhB8f+n7JE1vAoFghe8r8JOVn3Do
  +qEMXBfI3it6M2hbEFtNb8Xd53cz1+BcvBp1lc/PfJ4SKOyzsg8v3brE95e+zzhrBjf1jrf3wl62
  mNaCm0+bJzYk9CbPR55ngeEFEnvccdY45huWj82nNM+0zOTm7p2b2BOdvGNyYvqQ9UN48pr9W91F
  xUZRAoVFRhZJ/HXlqBu3b/Dfi//NCzez7kbkQ9YP4cB1A9liWovEHuTsPbPpO9SXCASLfV2M0XHR
  9Bnsw+i4aO4+v5ulvi3FrWe3EoHg5tOb+eHyD2m1WfnWwrc4bqt5NM6zU59l3aC6bD6lOQsML8DQ
  8FCuPbaWtuQ3Yk+mzYw2zD8sP7/e9DVf+e0VTt81nVablZ6DPBP3hRhLDNcdX8fFYYv5r5//RZKc
  unMqf9//O0nTSy32dTGuO76OHyz7gAPXDUx3u4t+XZTnbpxj21ltE5f/bNVnHLp+aJq88/bNY4Hh
  BVhmVBl6DPLgzvCdJMmlB5eyyMgi/HTVp4nbtf3cdj4y+pEUy687vi6xvuGR4Wwzow2fmJB0k/QT
  ESc4dstYfrrq08RfPWO3jGWPJT3YYU4HWm1W9l7Rm82nNGer6a145MoRkuaXV/FvijNoWxBvxd7i
  y3NfZotpLfhL6C98ZuozzDU4F0OOh/Bq1FWS5Oqjq9n458Z22+PrTV+z+ZTmrDOhDhv/3Jghx0NS
  zN9yZgurj63OZ6c+y4+Wf8SxW8Zy7JaxfHTso5y+azrrT6yf+BlDdn8oxGuvmSfBNGhgbo06c2bK
  +TabjU1/bZq446TnhZkvEIGmDkeuHKEECq9EXclwmeSOXj3K9rPbE4Fg2KWwDPNarBZ+v/l7uz+F
  rTYrvb/yZpXRVRgVG0UEgl+u/TLN8vmH5ef8/fMT0xAIvjbvtTTlLT24lAgE60yow3LflUtMn7pz
  Kk9fP+3w9tkza88sPj/zebaZ0Yafrfosxby2s9ry01Wf3lF5m09vJgLBkRtHJn4QHFFgeAG2nt76
  jtZ1v5nADY7YAAAbOklEQVS8YzLLjCrDpyaZR9TUHFeTG05u4HtL3uOAtQNotVk56q9RKYLy6H9G
  84kJTzA0PJR5h+ZN7AwErgtk5R8rE4Hgwcvm/rBrj61laHgoVx5eyd/2/Ua/4X48cOkAi31djAVH
  FOT2c9tJkoVGFEocVvo19FciEKz0Y6UUX6rJBR8JZvFvitNvuF+6X7QkWX9ifW48uZG1x9fm1rNb
  SZpA9snKTxLzxFpiGbgukIVHFubWs1tZZXQV5h+Wn40mN+JHyz9i0a+LctOpTSnKtdqsLDyycIp9
  +ecdP7PbgqSnc0RERzDPkDyJX/IvzHyBz898nj2X9uTAdQMTA3nPpT255tiajN4mztw9k+du2Hkc
  F8l6E+sx1+Bc/GnLT5y7dy5rjqvJrzd9nWF5cdY4Bq4LZJGRRfjBsg/Ye0XvxC+Qj5Z/xNVHV7Pn
  0p6Jr+83f0+bzcaNJzfyzxN/kszGwymjRpmbwV++bB4q8N139h94MHHHRFy4dQEtK7XMsLwxbcZg
  cLPBAICKfhWx7PVlKOjj+C3WKvpVxPxX5mPlkZV4pFDGdyjy9PBE7wb2D3Z6iAdK5yuNEr4l4JPD
  B6V8S6F5xeZplp//ynw0KtsoRfpTpZ9KU14J3xIAzM/Tlv5JbdC1ZleHtisjLfxb4LM/PkMFvwqJ
  bZdgaLOhyON9Z7eLrFuyLlZ0XoFWldJ5ukU6SuQtgTol6tzRMvebt2u/jTM3zuDQFfMU5p51e6LT
  /E4gie3vboeHeKDPU31SLPNq9Vdx5sYZPP3L03i0yKOJP7n7PNUHhXMXxpRdU7D93HZULlgZPZf1
  xNXoq7DSiojoCIx4ZgSqFq6K4C7B2HR6Ex4vZp5SUdCnIK5GX0WRPEUwKXQShjUfBr9cfuhcw/5p
  ni38W+CXdr8gxhKTOAxnT0W/ijh+7TjO3DiDMvnKAAAK5y6MPRf3wGqzotvCbjh05RDy5cyH+a/M
  R92SdTG742z4evti+eHlsNKKWR1moWGZhinK9RAPNKvQDC/NeSnxzJ+jV4+i02NJz2svkKuAGQ6c
  3gqvVH8FG05twOk+p5HXOy8sNgsalmmIFv4tHHqfOtXolO68OsXrYMvZLZi4YyLCb4ZjaLOheKPW
  GxmW5+XhhYEBA/HcI89h46mNienlC5RHuyrtUMGvQprPP4A0n/10pRfdmbIH3QpAGIBDAPramV8I
  wAoAOwHsAfBmOuVk+I2V2tNPm2c15stnnkdnz+Erh1l4ZOFMe8b3mya/NGGneZ1IkmGXwtL9SZzc
  ocuHaLGmfeLq+cjziUMUH6/42OV1PX39NK9FX3N5uXei9fTWXBy22K11cIUbt28kHiy02Wz888Sf
  PBFxItPl/jr1Fw9dTvtUiCHrh/A/wf/hnyf+ZLUx1bjlzBbuv7if+y7uS3efajCpATed2sT9F/ez
  +DfFGWuJdW6j4vX7ox8RiBQ94iUHl7DNjDbccmYLK/1YicsOLXPogF9qp6+f5tKDS1O8Lt+6nCJP
  aHgoB6wdwFyDc7Hj3I4u2abUfg39lWVGlSECwdH/jL4n67AHzvTERcQDwBgAzQGcA7BVRBaRTH6O
  Ti8AO0m2FpHCAA6KyHSSd33ipNVqbu6+cSOwdq05Dzy125bb+G7zd3iz5puJB5WyizL5y6BobnO7
  OkfrXrlQZbvpxfIWw41+N/DYuMdQtXBVl9UxQel8pV1e5p2a+/Jc5MmR/Z8K4ZvTF745zc3BRQRP
  l3vaoeWeKpP2Fxhgfpn1WNoDRyOOonud7niyVOaXLhf0KYgrUVfwwz8/4J3a7yCHZw7HNyADjxZ5
  FMXzFseOd3cknlRQOHdhXLp1CQvCFqB1pdZoU7nNXZVdOl/pTPfDWsVroZRvKXy1/is0r5C2Z+sK
  XR7vgucfeR7NpzZP95dLVnNkOKUegMMkTwKAiMwG0A6mZ57gPIAa8f/7ArjiTAAHzP1QSpQwzxSs
  WTPt/IOXD2LKrilYengp1nZb68yq3KJp+abIn9N1t6vzzemLjtU6Ov4TLJtJfWRfGQHlA/D8I89j
  w6kN6Fazm0PLFPQpiOGbhiM6Lhq/tvvVZXXpWrNrmiG8wrkLY+u5rTh+7TjmvTzPZetKT5E8RdDl
  8S53/WWRGU8PTxTKXQg739t5T8q/G5nexVBEOgBoSfLd+OkuAOqR/ChZHg8AawBUAZAXwKskV9gp
  i5mtL8HHH5vHQg0blnYeSRT/tjg8xANjWo9Bh0c7OFSmUgrovaI3pu+Zjm3/3oYKfhXu6bqu3b4G
  vxF+CHkjBE3KN7mn63qQZXQXQ1cd2OwPYBfJpiLiD+APEXmcZJrbwQUGBib+HxAQgICAALsFzp5t
  hlLsORt5FhdvXQQAVCtSzcmqK/Vw6VazGzo/3vmeB3AAyJ8zP35q85PDw0bKCAkJQUhIiEN5HemJ
  NwAQSLJV/HQ/mEH2EcnyLAcwhOSm+Ok1MAdAt6Uqy6Ge+PXrQMmSwM2b5iG5qS0KW4T2c9rDQzxw
  67+37vgCDqWUyk6cvZ/4VgCVRKSciHgDeA3A4lR5DgB4Jn5lxQA8AuCu76Jz9Kh5Uo+9AB52OQw9
  l/VE2yptUa1INQ3gSqmHWqbDKSStItILwCqYoD+Z5AER6WFmMwjAMAC/iMguAALgM5Jpr+11UEaP
  W/tp60/oXKMzhjYf6ra7himl1P3CoTFxkithDlomT5uQ7P/LAF5wpiJxcea2srlyAYcPpwzi4ZHh
  IIibsTcxb/88rH9rPXJ45nDZqVFKKZVd3TdXbI4bZ25sFRkJkMCPPybN676ke+LtRwv5FIK/n7+b
  aqmUUveX++J+4lOnAl99BUycCAwaZNLatTN/T18/jb/P/I3xz41HQZ+CqFOijj7IVSml4rm1Jx4T
  Y67M/PRTYMoU4OmngUaNgNatAe/4+/P/svMXvFb9NfSo2wPbzm1LvHeCUkopB04xdOnKUp1iWK4c
  cOMG8PjjwJ9/JuXrtbwXCvkUwkf1P8Lj4x/H0k5LUbtEbVy7fQ2e4pl42bJSSj0MsuJin7ty6pT5
  +3Sq6wAmh07GbcttbD6zGZ1rdEbtErUBpHyAgVJKKTcH8fLlgRMngHr1UqYXzVMURfMURQnfEhja
  fKg7qqaUUtmCW4N46dJpg3hUXBQu3rqIYx8dg6eHp9vqppRS2YFbz06Jjga2bAGKFUtKO3DpAPz9
  /DWAK6WUA9waxG/eBHxTHaOct39eiqfTKKWUSp9bh1Nu3gTWXJiN9/8JwvWY6yiRtwRCToRg27vb
  Ml9YKaWUe3vikbE38MXm95E/V35ULlgZFpsFZz85e0+eTqOUUg8it/XESSCy3Gy0LReABa/+7q5q
  KKVUtua2nnhMDCBl/sZzj7R2VxWUUirbc1sQv3kT8PKJ0qsvlVLKCW4N4p65ouDj5eOuKiilVLbn
  1iDukTMauXPkdlcVlFIq23NrEBfvKPjk0J64UkrdLbcGcXhpT1wppZzhtiAeHQ3QS8fElVLKGQ4F
  cRFpJSJhInJIRPramf8fEQkVkR0iskdELCKS4X1jY2IAm2eU9sSVUsoJmQZxEfEAMAZASwDVAXQS
  kRSXVJL8hmRtknUA9AcQQvJaRuXGxAA2Dx1OUUopZzjSE68H4DDJkyTjAMwG0C6D/J0AzMqs0JgY
  wOqhBzaVUsoZjgTxUgBOJ5s+E5+Whoj4AGgFYH5mhd6+TVgkWsfElVLKCa6+d8oLADZmNJQSGBgI
  ANi02QKPEp5633CllEolJCQEISEhDuXN9EHJItIAQCDJVvHT/QCQ5Ag7eX8HMJfk7HTKSnxQ8pfD
  rmJkjD9uB0Y4VFGllHpYZfSgZEeGU7YCqCQi5UTEG8BrABbbWUl+AE0ALHKkUrdio+ENPaiplFLO
  yHQ4haRVRHoBWAUT9CeTPCAiPcxsBsVnfRFAMMloR1Z8KzYKObx1PFwppZzh0Jg4yZUAqqRKm5Bq
  egqAKY6uOCo2Gt45tSeulFLOcNsVm7dio5DTU3viSinlDPdddm+JQk4P7YkrpZQz3BbEb1tikNMz
  p7tWr5RSDwT3PZ7NEgtvDeJKKeUUtwXxWEssvD293bV6pZR6ILivJ26NRU4vDeJKKeUMt/bENYgr
  pZRz3BfEbbHIpUFcKaWc4rYgHmeNRc4cGsSVUsoZ7gvitljk0iCulFJOcV8QpwZxpZRyllt74j7e
  Ody1eqWUeiC4LYhbGItc3toTV0opZ7g1iOfWIK6UUk5xWxC3SZyOiSullJPcFsQperGPUko5y31B
  3EPPTlFKKWe5JYiTJohrT1wppZzjliBuswHw1J64Uko5y6EgLiKtRCRMRA6JSN908gSISKiI7BWR
  dRmVZ7UC4qW3olVKKWdl+qBkEfEAMAZAcwDnAGwVkUUkw5LlyQ9gLIAWJM+KSOGMytQgrpRSruFI
  T7wegMMkT5KMAzAbQLtUeV4HMJ/kWQAgeTmjAi0WABrElVLKaY4E8VIATiebPhOfltwjAAqKyDoR
  2SoiXTMq0GoFxFODuFJKOSvT4ZQ7KKcOgGYA8gDYLCKbSR5JnTEwMBBRUYAt9Cj2btmLgPIBLqqC
  Uko9GEJCQhASEuJQXiGZcQaRBgACSbaKn+4HgCRHJMvTF0AukoPipycBWEFyfqqySBIXLwKlBtXF
  5s/Ho27JunewaUop9fAREZAUe/McGU7ZCqCSiJQTEW8ArwFYnCrPIgD/EhFPEckNoD6AA+kVaLEA
  0OEUpZRyWqbDKSStItILwCqYoD+Z5AER6WFmM4hkmIgEA9gNwAogiOT+9Mq0WgF4xiKHh96KViml
  nOHQmDjJlQCqpEqbkGr6GwDfOFKe1QpQe+JKKeU0t1yxabUC8IjTIK6UUk5ySxC3WAB4aE9cKaWc
  5baeuA6nKKWU89w6nOLl4arT1JVS6uHktuEUikWDuFJKOcl9wylihaeHpztWr5RSDwz3DaeIFZ6i
  QVwppZzhpuEUAkJ4iNueDqeUUg8Et0TRmDgrQA+I2L0VgFJKKQe5JYjHWa0Q6lCKUko5yz1B3GKF
  UM9MUUopZ7kliMdaLBBoT1wppZzlxp64BnGllHKW+8bEtSeulFJO0564UkplY27riXtoT1wppZzm
  vp64BnGllHKaG3vieoqhUko5y01BXE8xVEopV3AoiItIKxEJE5FDItLXzvwmInJNRHbEv77IqDwd
  E1dKKdfIdExDRDwAjAHQHMA5AFtFZBHJsFRZ15Ns68hKdUxcKaVcw5GeeD0Ah0meJBkHYDaAdnby
  OXw3K4v2xJVSyiUcCeKlAJxONn0mPi21p0Rkp4gsE5FHMyrQYtMgrpRSruCqU0S2AyhLMkpEWgNY
  COARexkDAwPx51/nEH37IkJCQhAQEOCiKiil1IMhJCQEISEhDuUVkhlnEGkAIJBkq/jpfgBIckQG
  yxwH8ATJq6nSSRK9v/4Hc258iPNfbXGokkop9TATEZC0O2TtyHDKVgCVRKSciHgDeA3A4lQrKJbs
  /3owXw5XkQ6L1QoPfTSbUko5LdPhFJJWEekFYBVM0J9M8oCI9DCzGQSgo4j0BBAHIBrAqxmVqWPi
  SinlGg6NiZNcCaBKqrQJyf4fC2CsoyvVnrhSSrmGex6UbNMn3SullCu4J4hrT1wppVzCLUHcarPC
  U/QGWEop5Sz33ADLZtGeuFJKuYCOiSulVDbmxuEUDeJKKeUsDeJKKZWNuW04RcfElVLKee7riXto
  EFdKKWe5LYh76SmGSinlNDcNp1i0J66UUi7gnp449cCmUkq5gvuCuPbElVLKae4bE9cgrpRSTtOz
  U5RSKhvT4RSllMrG3BPEYUEODz3FUCmlnOWWIG7TnrhSSrmEHthUSqlszKEgLiKtRCRMRA6JSN8M
  8j0pInEi8lJG5WlPXCmlXCPTIC4iHgDGAGgJoDqATiJSNZ18wwEEZ1amFVbk8NQgrpRSznKkJ14P
  wGGSJ0nGAZgNoJ2dfB8CmAfgYmYFak9cKaVcw5EgXgrA6WTTZ+LTEolISQAvkhwHQDIr0EYrcnjq
  2SlKKeUsV0XS7wEkHytPN5AHBgbi+s712H4rD0JKNUBAQICLqqCUUg+GkJAQhISEOJRXSGacQaQB
  gECSreKn+wEgyRHJ8hxL+BdAYQC3ALxLcnGqskgSxbr1wesvlMF3L3/i4CYppdTDS0RA0m7n2JGe
  +FYAlUSkHIBwAK8B6JQ8A8mKyVb2C4AlqQN4clZakUPHxJVSymmZBnGSVhHpBWAVzBj6ZJIHRKSH
  mc2g1ItkVqYNVnjp2SlKKeU0h8bESa4EUCVV2oR08r6daXl6iqFSSrmEey671564Ukq5hNvunaJB
  XCmlnOeeIC6xyOWV0x2rVkqpB4pbgjg9YpErh3fidPny5SEiD8SrfPny7mhSpdRDyi2XTdokFjmT
  BfGTJ08is/PVswuRTC9YVUopl3HjcIp35hmVUkpl6L4YTlFKKXV3NIgrpVQ2pkFcKaWyMTcF8RgN
  4kop5QLuCeKesfDxzj5BPCIiAu3bt0fevHlRoUIFzJo1y91VUkopAG46xRAescjtnX0u9nn//feR
  K1cuXLp0CTt27MBzzz2HWrVqoVq1au6umlLqIZflPXGbDYBn9hkTj4qKwu+//47BgwfDx8cHjRo1
  Qrt27TBt2jR3V00ppbI+iFutADxj4e2ZPYL4oUOHkCNHDvj7+yem1axZE/v27XNjrZRSysjy4RSr
  FYDXnQdxV1wIeTcXhd68eRP58uVLkZYvXz5ERkY6XyGllHKSe4L4XfTE3XVVft68eXHjxo0Uadev
  X4evr697KqSUUslk+XCKxQLAI/sMpzzyyCOwWCw4evRoYtquXbtQvXp1N9ZKKaUMNwRxAl6xyOGZ
  I6tXfVdy586Nl156CV9++SWioqKwceNGLFmyBF27dnV31ZRSyrEgLiKtRCRMRA6JSF8789uKyC4R
  CRWRbSLSLL2ybsfFAVYveIhbTlG/K2PHjkVUVBSKFi2KLl26YPz48Xp6oVLqviCZ3QJWRDwAHALQ
  HMA5AFsBvEYyLFme3CSj4v+vAWAByUp2yuKRU5GoNKEYOPhW8vQH6la0D8q2KKXuD/Fxxe7pHY50
  h+sBOEzyJMk4ALMBtEueISGAx8sL4HJ6hUXFxkJs2WM8XCml7neOBPFSAE4nmz4Tn5aCiLwoIgcA
  LAfwUXqF3Y6NhVizz9WaSil1P3PZwDTJhSSrAXgBQLqXM8ZYtCeulFKu4sh54mcBlE02XTo+zS6S
  G0XES0QKkbySen7QmG/APTcRGBiIgIAABAQE3HGllVLqQRYSEoKQkBCH8jpyYNMTwEGYA5vhALYA
  6ETyQLI8/iSPxv9fB8BvJP3tlMXFm/eh49yOiBm1P3n6A3Mw8EHaFqXU/SGjA5uZ9sRJWkWkF4BV
  MMMvk0keEJEeZjaDAHQQkW4AYgHcAvBqeuXFWGLhQR1OUUopV3DosnuSKwFUSZU2Idn/IwGMdKSs
  2zomrpRSLpPlV9zExGlPXCmlXCXLg/jtuBgN4kop5SJZHsTHHfoCHsxe54mPHTsWTz75JHLlyoW3
  337b3dVRSqlEWX4r2tfL9cW8FVUyz3gfKVWqFAYMGIDg4GBER0e7uzpKKZUoy4N4Q78XEXw7q9fq
  nBdffBEAsHXrVpw9m+4p8kopleXc8ng2T8+sXqtSSj2Y3PJkH6+7WKsMcv75bByoF+EopR4sWR7E
  hw0DfHzufDkNwEoplVaWB/Hu3QF9splSSrlGlgfxzp2zeo3Os1qtiIuLg9VqhcViQUxMDLy8vOCp
  g/tKKTfLPs9Ic6PBgwcjd+7cGDFiBGbMmIHcuXNjyJAh7q6WUkplfhdDl65MhPbW9yDd+e9B2hal
  1P3B2cezKaWUuk9pEFdKqWxMg7hSSmVjGsSVUiob0yCulFLZmAZxpZTKxrL8Yh97ypUrBxHn741y
  PyhXrpy7q6CUeog4dJ64iLQC8D2SHpQ8ItX81wH0jZ+MBNCT5B475dg9T1wppVT6nDpPXEQ8AIwB
  0BJAdQCdRKRqqmzHADxNsiaAwQAmOlflB19ISIi7q3Df0LZIom2RkrZH5hwZE68H4DDJkyTjAMwG
  0C55BpJ/k7weP/k3gFKureaDR3fOJNoWSbQtUtL2yJwjQbwUgNPJps8g4yDdHcAKZyqllFLKMS49
  sCkiTQG8BeBfrixXKaWUfZke2BSRBgACSbaKn+4HgHYObj4OYD6AViSPplOWHtVUSqm7kN6BTUd6
  4lsBVBKRcgDCAbwGoFPyDCJSFiaAd00vgGdUCaWUUncn0yBO0ioivQCsQtIphgdEpIeZzSAAAwAU
  BPCTmBO+40jWu5cVV0oplcX3E1dKKeVaWXbZvYi0EpEwETkkIn0zXyJ7E5HJInJBRHYnS/MTkVUi
  clBEgkUkf7J5/UXksIgcEJEW7qn1vSEipUVkrYjsE5E9IvJRfPpD1x4iklNE/hGR0Pj2GBqf/tC1
  BWCuQxGRHSKyOH76oWwHp5C85y+YL4sjAMoByAFgJ4CqWbFud71gztCpBWB3srQRAD6L/78vgOHx
  /z8KIBRmeKt8fFuJu7fBhW1RHECt+P/zAjgIoOpD3B654/96wlxX0eghbos+AKYDWBw//VC2gzOv
  rOqJZ3rB0IOG5EYAEamS2wGYEv//FAAvxv/fFsBskhaSJwAchmmzBwLJ8yR3xv9/E8ABAKXx8LZH
  VPy/OWE6OBF4CNtCREoDaANgUrLkh64dnJVVQfxOLxh6UBUleQEwgQ1A0fj01O1zFg9o+4hIeZhf
  KH8DKPYwtkf8EEIogPMAQkjux8PZFt8B+BRA8gNzD2M7OEVvReteD9VRZRHJC2AegN7xPfLU2/9Q
  tAdJG8naML9GGotIAB6ythCR5wBciP+FltGpxw90O7hCVgXxswDKJpsuHZ/2sLkgIsUAQESKA7gY
  n34WQJlk+R649hERL5gAPo3kovjkh7Y9AIDkDQDLAdTFw9cWjQC0FZFjAGYBaCYi0wCcf8jawWlZ
  FcQTLxgSEW+YC4YWZ9G63UmQspexGMCb8f+/AWBRsvTXRMRbRCoAqARgS1ZVMov8DGA/yR+SpT10
  7SEihRPOuBARHwDPwhywe6jaguR/SZYlWREmHqwl2RXAEjxE7eASWXUEFUArmLMSDgPo5+4julmw
  vTMBnAMQA+AUzD1l/ACsjm+HVQAKJMvfH+aI+wEALdxdfxe3RSMAVpizkkIB7IjfHwo+bO0BoEb8
  9ocC2AXgP/HpD11bJNu+Jkg6O+WhbYe7fenFPkoplY3pgU2llMrGNIgrpVQ2pkFcKaWyMQ3iSimV
  jWkQV0qpbEyDuFJKZWMaxJVSKhvTIK6UUtnY/wMFcHQjp/06BAAAAABJRU5ErkJggg==
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f7964ac8590>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3XdcFMf7B/DPgIAgRbGBqIi9t0RjLzGJJLHFrrHFFI2/
  mBiTqPkmxovRGI0mxhpNbLH3rthRQbGiiBWwUQQpSpVyd8/vj+HgjnpwJyfwvF8vXtztzs7Ozu09
  Ozc7uyuICIwxxoonM1MXgDHGWOFxEGeMsWKMgzhjjBVjHMQZY6wY4yDOGGPFGAdxxhgrxvQK4kII
  dyHEHSHEPSHE1BzmlxdC7BJCXBdC+AghGhu/qIwxxrLKN4gLIcwALAHQE0ATAMOEEA2zJPsfAF8i
  agFgNIBFxi4oY4yx7PRpibcFEEBEj4goDcAWAH2zpGkM4CQAENFdALWEEJWNWlLGGGPZ6BPEXQAE
  a70PSZ+m7TqA/gAghGgLoCaA6sYoIGOMsdwZ68TmbwAqCCGuAvg/AL4AVEbKmzHGWC7K6JEmFLJl
  rVE9fVoGIooHMFbzXgjxAMD9rBkJIfhGLYwxVghEJHKark9L/BKAukIIVyGEJYChAPZpJxBCOAgh
  LNJffwrgNBEl5FIQ/iPCjBkzTF6GV+WP64Lrgusj77+85NsSJyKVEOILAEfTg/4qIrothBgnZ9NK
  AI0ArBNCqAHcBPBxfvkyxhgznD7dKSAiDwANskxbofXaJ+t8xhhjLx9fsWki3bp1M3URXhlcF5m4
  LnRxfeRP5NffYtSVCUFFuT7GtG3cCAwbBphx06VESkoC9u8HhgwxdUmMTwgByuXEJgdxViqkpADW
  1sCDB4Crq6lLw16GkyeBHj2AqCigYkVTl8a48gri3CZhpUJwMEAEPHxo6pIUH6dOAXv3vtx1LFgA
  XLpknLyeP5f/+/YFoqONk2dxwEGclQqPHun+Z/nbsgVYt+7l5Z+WBnz7LfDvv8bJLyICGDwYiI8H
  rl83Tp7FgV6jUxh71X3zDdCnD9C1a/Z5p08Db70lX5siiH/+uezOMTMzXsAqCteuya4JABg1CggN
  BY4dM845BSKgYfpt9CwsgNRUoHt3ICQEWLoU8PUFWrUCevXSP8/wcJmnlVXJOVgHBAAKRd5puCVe
  ShEBarWpS2E4pTLzi3/yZM5prlyR/8uUkd0p2tutea1SAbGxMpgAsn6y0l4ut1M7mnpNSpL/iYBt
  24A1a4BVqwq0aS8NUWb5c9sHVCrA3x8ICwPOnwc8PGRL18NDHpC0JSXJuouNlcvpIykJuH8f2LxZ
  fiaabptRo4BDh4A//wR8fAq2DRERgJOTPOdhSLdZWlre2xIXl7m9sbFyHwRk+hcvMvel2Fj5PiuV
  KnP/iI2V69OmVsv9MDYW+PtvYNOmvMvLQbyU2rABGDnS1KUwXP/+svXl6pr7T2hNa3LIENn/6uIC
  REbKoGpuLud99x1QpYpsDV65kr1Fr1IBzZsDV68CgYFAy5Y5r2vSJKBcOcDREfjyS9l6jYmR8ypV
  Mnx7jWHGDOD33+XrVq2Ay5ezpwkMlPXx1luAuzswcaL8tTNsGFC7NpCcLNM9fCgDZ82aQLVqwJgx
  +pUhOhqoXh1o1Ag4eFAG76+/Bjp3BtaulYEyr0A8fTowa5YMoE2bys8+PFyWpVYtw1ri77wj8xk7
  Nvu8detkvdSsKf9cXIABA+S8Dz+U89zdZV3UrAlUrQo8fqybx9dfy/3j/fflejp0yDwgeXsDr78O
  NG4sl9+0CRg4MO/ycndKDkJC5A4WGio/JH1ERwM2NnIERGERyXVWL8T9H7OWNTkZSEjIPXD884+c
  r1LJwNa6texLjI4GHBxk60C7HETAxYuZrYaWLQFbW/lauw/ytddkHTx6JL9gderkvP6QEN0vqaUl
  0KSJbOU5OmZPW726DLyVK8t84+OBu3flTh8VJb8oPXvK9CqVLKtKBdSvL8vy338yAFWvLltsp09n
  BjIAuHAB2LlT9ql6ewO3bsnpCQky0G/bBty8KU/Evfce4Ocny1CmjFwPkfz/8KGs+5Ej5ZDGrl2B
  ChWAZ8+AevVy+/Sy07TmNHWhVss8Cjrqgkh+ptr7gY+PPNA8eCC3Y80aGTi0Xb8uP+Pdu3Wnf/SR
  DOyLFwPt2wNbt8oAvGSJPLHo6gqcOCG7NCpXBhpkuQQwKgq4c0duW8WKmSOF/v1XBquICNl6HTNG
  diVcuCDr+LXXdPO5dUseUF97Dbh9W34uQUEyaNrZAcuXA4mJcjuDg+U+0LixTJOSkr1sV67I9T59
  Kver4GC57548KffNKlWA8uXldu/cKQMwIJdxcZHTPDyAd98FDhyQBxR7e9mVtmABMGiQTO/gILep
  RQvg6FG5b3fsKIO1q6v8BeLrC7RtKw+kgNwXyuQVqYv4+n961cXGyh9qt28TWVkRpaTot9yIEUR/
  /WXYun18iFxdC75cSAhRuXJESmXmtBkziAYPzjl9UBCRrS2RoyPRwoVEZmZEDRsS1akjt7l2bSIL
  C6LQ0Mxl1q4lcnYm6thRlnH27Mx5gwcTNWlCVL8+0YQJRElJRPb2RLVq5bz+tDSZV4cOMr+OHYmc
  nIgaNCAaO1Y3bXAwkaUl0alTskzh4USzZsl12dnJ8hPJbS9Xjuj5c/k51KhB9PrrRC1ayPWcPi3T
  rVxJ1K4dkbk5Ufv28rNOTpZ5xcQQ1a1L1KmTnB4fTzR8uKybypWJli4latqUyMFBzvf2Jho3jujD
  D2V5WrUieu89+T8oiMjdnahePaLJk2UeXbvq/5n+/jvRG29kvl+0SOZbUFu3ElWvnrlvqNVyW8zN
  5V+NGkQVK8o60Pa//8l9KCcnTmR+bl27Et26lTlv1qzMeXZ2ct/U1q6d3M9sbIjefFNOe/NNooSE
  zDSffkrk5yfr2NlZ7pNZ82ndWn7e9eoRTZtG1KMHUffuRJGRRBERRM2bE40ZQ5SaSlS1qvxcu3SR
  +32HDkQVKsi6IJKflY1NZrlXrpTTZ87U3ZY6dYh695Z5avvzT5lm7lyi69eJ5s3LnHfzpqwjTT7l
  y8t6v3KFSKGQadavz5zfsyfR4sVE+/bpriM9duYcV3Ob8TL+ikMQv3tX1sqIEfL/9u3yy+3rSxQd
  LdOcOCE/rMBAokuX5LT27YkGDSK6fDl7nomJRGfPEnl56QZab2+ie/fkTnT+PNHy5XKd0dFEjx/L
  oHH0KJGnp3y9dCmRh4fMKylJ5nXiBNGZM3K5W7eINm6U6WrUkDs4kdxZz5zJXO/PP8tga20tg88v
  v8jlLS3lju/mJt8fOiS/XCtWyACyY4dcfuNGuTP/84/cSR0cZB09eiQDwpdfyi+mrS3Rs2fZ6+PQ
  Id0ARUS0aZNcZ9ZAtX+/nO7iIsv3xx9yuywtib7+WjftG2/IL0DDhkTHjxOpVPKAY24uy6axapUs
  W2IiUc2aRMeOyfoiIhowQK5PCKJz5+TBSAi5rZqya+aPGCEPhPb2clrz5kSNG8sARES0eXNmg8DH
  h6hNG6KwMPn57N2rW/boaKIbN2Q9Ll8ut9HKiui332T6hg3lNv/9N5G/P1FUlFxu7165P+zalbmP
  aP+1bSuXmzZNvp8/X5bZ2lpO//hjom7diHbuJLp/X+6PRPJgtGtX9s+uID75RAY2zT45d648WPv6
  ynoZODD3ZdPSZJpNm2TA1nzPNBwdib77Th7YNXWhLTxcBsxvvpFB+9Qpmd+QIXJ+tWpEGzbI7f3l
  F7k/52XsWLmvqFQFqoJsZsyQ36+C4iBeAKdPZwY0zf/Vq4nef18GiOhoOb17d/mFbdNGLletmpzu
  5CR3QG07d8ovupkZ0YEDclpkpNwBHR1l4LOxyTxwnDwpg8l778nlHByIxo8n+vzzzFbg1q1Ee/bI
  1//9J/+PGyd3tM8/lzumjY1sTfr4ZAZ5tVq2KC5elIGhRg15MFi6VAbMgAB5oOjbl2jOHNkifO01
  GQQ0rTV/f5mfpjU/aFDmti5aJNd/6ZJsdWlawNqGDpXr05aUJOvX2lq3pfPLL0QffCAPDOvXy7pq
  0IBo9255oNP22WeyXF9/nXmwPHiQaMoU3YPnkyfyC0xE1LmzrOvhw+X748eJJk2SracvvpAHo9Wr
  ZT0SyV8nANHEiXI7Fy+WAX7MGBnEy5WTv+aIiF68yGzV3bgh95c//5S/DhwdZSNA45tv5K+Z776T
  LbIZM+Q2fv65/Js+XQbsatXkspMmyeUB+YvDykp+/pr0mr8pU+TnqT1t2TJ5MDh0SDYeVq+Wn/cX
  XxD16iUP3OXLy3oyxK5dclusrTPXvXs3UVxc5v6al8WL5T737rty39SIi5N5RkfLfSI3f/8t1+nt
  LQ+OANGvv8p5774r3zdpIv//+GPeZQkIkPVlKO19ryA4iJM8oj99mn26Uilbd2q1DHKjR8sWXeb5
  b/mFeu01+VNn8mQ5zdFR/re2lgHIwkIG6YoVZVBbuzZzHT/9JNNq5v37r2yVVKwov/SWlvK1EHKn
  +vFHGayfPZMth3ffzcxr1CiZ199/y5/xgAxwlpZy+QULMtO+9prs6mjbVub//fdyh27YUG6vu7uc
  lpP//iNq1EgG+ayBOC1NBo21a2UrV/sLpm38eHkgOnZMBtZnz2RQc3DIufVEJAO0n58M5JMny/cb
  N8p5KpUsj3ZXjrZly+TPZs3PZH2MHCnr0MNDd7rmgDh5su50TXeEt7fu9KgomU/58jmvJyhIdi9N
  nSoDycSJ8kAxfrz8q1hR/tnayoNkbmbNkvueo6Nc3t1dLmdvr/82ZxUbKz+TJk3k59m7t+4+V1i+
  vvJ70bx59nmOjrLLRh8ffSS/MxoKhdyHC6pmTXlQJ5KNEu3v+PbtBc+vKJX6IP78OVHZsrJVl5Wm
  NXP1qgzggOxqcHSUARaQ011cdD907b/9++UX9Phx2b0wfbrujtu3r/zi3rol+9Y0Lfy9e4kuXJCt
  ocBA2aLbtk3O0/zsCw6WP3M1wsJkq+/772VAc3CQLbuffpLLa/ctenvLwLZihWy1d+okW6ua1oiv
  b+7B9PlzeaDYvDnnn5AnT8oDoLe3bitXW0CA7Ie0tJT9spqD09GjuX1S8qCzfr3sM6xZU5ZB07LV
  lFnTKs4qOjrn7qy83LghW0ZZt3HDBvk5rVuXfZkzZ7L/2lKrZfouXXJeT3i4DP6jR8vunKgo2W2y
  bJn8271bbnN+XRhxcbIO9u6Vy9+/L9er6TorrOHDM4PZsmXyoGMoTes3p66K1q11Gxx5mTZNHryI
  ZPdH5cpy/ysoL6/MX5PBwbJbEZD7W2JiwfMrSqUiiH/7rW6/54ABcmfs1k0GvHr15J+mlTZ9ugwy
  J07IWvjii8y+zZkzid56S3ahlC8vWzwWFkRlysg8zM1lOgsL+aWtUUN2r2hER8u8hg2TrY0aNWRf
  O5FsiTdsKH8WZw0ERPJEaqVKmS2GnKxfL1tgdnZE/frl3JLMKipKpnd0zN4N8TIdPizXeeCA/KUy
  cmTe6WfPlp/l6tXyl4apJCTI+tL0b+sDyDzRmlVcnGwU9OyZ92dbUGq1/DXYubNh+Rw5IhsqxqRW
  y+/BxInZ5w0cmHdXiLaFC+Vn0aGD/KU1aZJxynfvnmxUGNrPXRRKfBBXKuWOrDnb+/Ch3LIaNeTP
  U0C2cOrXlyernj6VAXnbNhksqleXZ6ubNpVnsleskGe4ExJkK9neXgbz4GC57CefyP7mkBDZwvLy
  kvM01Gq509nYyPU3aJB58IiLk32lkZG5b09e84gyT2R26JDZpZJb61Sbi4s8i1/UNNtz9aruL4Wc
  HDggD6BffaV7lt8UtD9TfYSE5N6Vo1TK7q4WLQr+ayE/bm55nyTUh1pd8O3VR7Nm8mRqVpGR2UfE
  5GbjRrmPb9mi25o2hqyjXl5VeQXxEjFOPCBA/v/vPzlAv0UL+T44GPj5Z3lhy/vvAzduADt2yIsB
  lErgp5/kmNUJE4Bly+T438REOT60ShWZR6tW8sIDF5fMcdOurnI8qmZcdtWquuURQqZxcACaNZNj
  lUX6/cfs7OT/smVz3578LgrRjDdu21aOTa9TJ3PMdl7atcu8MKEoabanVav807ZuDZw5A3h6AseP
  v9Ri5aug4/XzuqbA3FyON9ZcHGNMVasanqcQhbs+IT9Nmsjx2VkV5MInzXfxZdxiVt/rQF5lJSKI
  X78ur5K6e1cOlu/QQV5kMW2anP7jj/J+D82ayQsbzpwBOnUCvLzk8o0ayR24ZUt5VZrQuuGjlZUM
  kKFaj4Z2csr/S1OrlrziavFi49+/2slJHmzKlpV5z5ql33Lbtxu3HC+Ds7O8qEWt1u/AVJyULSsv
  ctEEJWPRZ380lc2bDc/jrbdKxi0iXpYScdn9nTvyaK+5cqx1a8DNTc5zdc0MorVqyftAPHwIDB+e
  uXyrVvKKqm7ddAO4xtKluq2AFi1k2ry8+aa8gvBlPYDAxiYz75zKnBMh9E9rSjY2JS+AA/IXHSBv
  +GRMnTtnv6KxpCkO+62plIiHQkyaJIP1oEGy9bt1q/zfrZu80YxmB4iJkZf69uwpu1D69pWXX3fp
  YvQiMZaNpssiONjUJWHFTV4PhSgR3SmxsfK+BtWryz7wLl3kPROmTtU9gleoIPukW7TI7Mfmp7yw
  olS3rqlLwEqaYh/EDx6UN81xcJDvp0/PnJf1PryaE44tWsg+RHPzknFigxUfHMSZsRX7IP7ZZ/Lu
  ad9+q1/6X3+VJzXt7eVoljzvDsaYER08KEcIMWZMevWJCyHcASyEPBG6iojmZplfEcAGAM4AzAEs
  IKK1OeRToD7xAweA9euBN94AJk/OPl/z8FsieSvJ1q31zpoxxooNgx6ULIQwA7AEQE8ATQAME0I0
  zJLsCwDXiKglgO4AFgghDG7jbt0q7/s7c6a8z29WmoffApndKYwxVproMwCuLYAAInpERGkAtgDo
  myVNOID0y1hgByCaiJSGFu7hQznipE8f3fGm8+cDv/yi+/SO8uUNXRtjjBU/+gRxFwDag6JC0qdp
  +wdAEyFEGIDrAL4yRuEePZInIkeNko9F0gz4X7ZMXm358GHm6BNuiTPGSiNjndb7HsB1IuouhKgD
  4JgQojkRJWRNqNAaMtKtWzd0y+WqmYYNZXdJ9epAjRrysWCdO8sHiGqC+fHj8iKfhw/5BCVjrOTw
  9PSEp6enXmnzPbEphGgHQEFE7unvp0HejGWuVppDAGYTkXf6+xMAphLR5Sx56XViMzxcXn4NZPZ5
  v3ghx3lrnrTt5iaff9i7N3DkiHxWXWl3LOgYIhIjMKL5iEIt7xPig+r21VHd/iXcRMPEroRdgZOt
  E1zsDR9TmpSWhAshF9DdrXuh8wiLD0NoXCjauLTJmOb50BOXw+RXpmq5qhjRfASEiS5VPHH/BDrV
  7ASrMlYmWT/TZdCJTQCXANQVQrgKISwBDAWwL0ua2wDeSl9ZVQD1AdwvbIGvX5cX42jfrMnaOvNS
  ekC2yiMj5b1R+vcv7JqM69mLZzhx/0S+6Xbf3o00VRr2390PpVqJfXf3IUWZku9yhwMOIyE124+b
  DBMOTcDI3SMRlRSFRRcWwfuxt95lD40LhfsGd/TZ3AdHAo/ovVxxMfX4VGzx31KoZTff2IzZZ2bD
  /6k/AGDKsSkYuH0gDLn6eM7ZOXhnwzuYdWYWZp+ZjZmnZ2LgtoEIiw9DeEI4vjv2HW48vZFtufCE
  cMw5Owezz8zGr2d/RWhcaA65Z5eUloTDAYdznZ+iTMHeO3sBAF6PvfD2+rdxPuR84TaOFal8gzgR
  qSBHnxwFcBPAFiK6LYQYJ4T4LD3ZHACvCyGuAzgGYAoRxRS2UNevyyeT79ihO71FC9lCd3aWdwYE
  5D0jFi0q7JqMa8etHZh8NIexkFoiEiIwcPtA/HDyB/TZ0gfXw69j5O6ROP3oNOJS4vDr2V9x9cnV
  bMudCz6H9ze9jw1+G3LNNzIxEp1rdsbg7YOh8FRgwfkFepfd86En3q7zNnrX753vNuTnWvi1jICn
  L6VaiS3+W3Dw3kE8T35eoGXD4sPg+dAzz7x9QnwQGBOYZz7xKfHYd1e3fZKmSsOn+z9FWHwYem3q
  hclHJmPf3X0gIoQnhBeonBoqtQrbb23H9C7T8SLtBZLSkpCiTMHG/hvxR88/MP+d+RjdYjS+O/Yd
  ZpyagRmnZuCP83/gSOAR9N3SF1fDryIpLQnewd749eyveq1z3919eG/Te/B67JXj/HPB59Bvaz+E
  xYdh9J7RcLF3wZP4J0hTpWH7zVf7zmm7b+/G6YenMevMLCQrk01dnCKnV08yEXkAaJBl2gqt11EA
  ehurUAEBOd/Q57PP5EnOhw/liUwzs5dz+8zC8g72xp2oO0hTpcHCPPtdjnbc2oGA6ACoSY3fz/0O
  ADgfch5xKXH40+dPpKpSkaZKw/LLy3Fzwk3subMHtyNvo2yZsgiICUAX1y7Y4r8F418fDyAz8I1o
  PgJnH59F+xrt0dqpNZZdXoZ/e/+L37x/AwCoSY1119bho1YfAQD2392P21G38U37b2BuZg4AeJLw
  BDXta2J61+lYcH4B5p+bjy/f+BKW5pY5buv2m9vRt2HfHOfP854HGwsb/NvnX2zx34Je9XvB1lL3
  jlbbbm6De1132FvZAwD8IvwwbOcwAMDmAZsxtOnQbPnef3YfwbHB6Fqra7ay7LqzCxs+2IC/L/+N
  j1t/jNoVamfM94vwQ2JaIoKeBeW4LRq7bu/CmL1jcHD4QbxIe4EBjQfAN9wXdRzrYOn7S9Herz2C
  YoKwb9g+fH3ka/g/9Yeznez3uxFxA8nKZLRxaYOdt3birdpvwaGsA25F3kJCagLaurTNWE/QsyDY
  WNhgcvvcD5aT20/GyisroSZ5Amjrza24EXEDM7vPxKR2k1DGrAyCYoLQYXUH/PXuXyhjlvtX+WLo
  Rfxz9R+4lXfDL2d+wbjXxkGpVqKidUVUsqmEFk4tEBwnxy6M2TMGdR3romHFhniS8ATngs9h8I7B
  +PT+p2hRtQUcrR0R/SIa/9fm/4qkq4eIsPHGRgxtOjTHbYxMjMSg7YNAIDhaO6KyTWW0cWmD1s6t
  sefOHrxV+y2YC3MsOL8A79V7D62dS97FJCY/Hbh2LTBypLwEXiMiIrNPXNubb2a+9vICqlWT92g2
  lZC4ECz0WYjPXvsMdR3r4uzjszATZgiMCUSjyo2ypR+0fRAAYFrHaVh6aSkGNh6Iw4GHYWluCY9A
  D8zsNhOT20/GB1s/wIn7JzDx8ER80/4beAR64HzIeZwZcwZ9t/RFWHwYqtlVw52oO/ho70f4oOEH
  +PHkj5j15iy0r94efRv2hYudC4Jj5RfzTtQdjN03Fm/XeRuJqYkYu28s3Mq7wSfEBy2dWuL7Tt9n
  5FnGrAzS1Gn47th3OP3oNBb2XIg6jnV0tuNx7GMM3jEYe4bsQd+GmaNNvR97w97KHt7B3khWJmP9
  9fUYf3A8lr63FGNajgEAxCbHYr3fekw5NgU/dP4B3d26o0ONDjotdzOR8w/EN/59A1FJUaAZlFH/
  fhF+8H/qD/+n/th0YxM2+W+CR5AHfuz8IxpXbowGlRrA94kv2lVvh6BnQTj98DRc7F1Q17Eu1viu
  wZCmQ2BjYQOvx15YeXUl6jnWw+Dtg1HBugIGNB4A78fe6FC9AwDonGtoWrkp/CL8UMG6AogIv3n/
  hnIW5fB3r78xes9ofNfhO8SmxOJPnz/h6uCKQx8eQlRSFLq4dsGNiBtoVrVZnvtWVduqmN418x4S
  414fh9uRt3X64es41oGrgytOPTiFt+u8nWte3xz9Bl6PvbBnyB4M3D4Qpx+ehlKthIpU6FW/F/YP
  24+gmCC86fYmjt8/jrX91uJJ/BM8iX8Cb6U3etfvDbfyblh6aSmeJT9DReuK8AnxQZVyVdDVtSuu
  PrmK+NT4jPVVtqmMKR2nZDQQAOBQwCEcv38c7au3x73oe2hSpQn6NeyXMd8j0AP1HOtl7GunHpyC
  s50zLoZexOg9o9GmWhs0qKTTjgQgD27v1nsX418bj403NuK7Y9/B1tIWXmO9MGTHECx7bxlsLGzw
  x/k/cPLBSZwcfTLPes/No+ePsOjCIjhaO+KHLj/kmu7h84e4EnYFAxoX3Y37TRrE1Wrgk09k/3Yd
  rTgRHp79QQtZtW0LrF6ddxrfJ76IeREDZztnPIl/gh61e+RbJpVahWWXluHzNp/rHPk9Aj1Qu0Jt
  1K8o+3EO3juIgwEHsfzycpQtUxYudi6oUq4KmlVphqNBR3E94rpOa1LTl3185HG0r9EePWr3wKXQ
  S1hzbQ0mvD4B/Rv1zyhfp5qdsPLqSlQtVxU/df0JLZ1aYuiOoWhXvR36NuyLT/d/inX91iEoJghK
  tRIegR5IUaVgYOOBAAAXexeo1Co8S36GFGUKzgWfAyB/Mj978Qx9G/TF7DdnY9ONTdh9Zzcuhl5E
  eEI4vm73NQDg4icXYSbMMNd7LiYenoh6jvWgIhVaO7fGO3XewfgD41HJphJmeM5ADYcaaO3cGk/i
  n6DPlj5oU60NktKSEJUUhVF7RsFMmGGL/5aMID75yGT85/cflGolFKcVuBdzLyOIT3h9Aq5FXMux
  O+W/6/8hKikKdR0zbz6y/+5+TDoyCU62Toh5EYOdt3diTo85WO+3HoN3DIZbeTfM7D4T/k/90ate
  L8w8MxPjDoxDxxodMa3TNIzdNxb+T/2xoOcCfHP0G1wMvYgDww6g75a+CIkLwfPk5zgXcg59G2S9
  LALoWqsr5p+bjwXnF6B51ebwfOiJxpUb48C9A0hMS8Sss7PQr2E//Nj5R2y7tQ1NljUBANAMgv9T
  fzSt3DTffVGbk60TnGyz3zR8aNOh2OK/JVsQX+izEIExgehZpyduRd7CgWEH0LNuTxz+8DDmec+D
  tYU1RrcYjY/2foSniU8R9CwIo5qPwvedvkenmp2w7eY2bLixAamqVMzpMQf9G/XH0KZDEZsSi/Jl
  y2PX7V1IVaViyI4h6OLaBe513TPWvfXmVliaW+K9eu/hcexjvF3nbYw7MA5jW47FJ/s/gZ2lHWqV
  r4V+DftcHcA/AAAgAElEQVTBI9AD++/ux5prazCy+Uis6C1/4M86OwutnFrh5AMZdIPjgnWCOBFh
  /rn5mH9+Pg4MO4A2Lm3gE+KD+NR4NKvaDF3XdoW9lT3mnZsHCzMLzH1rLqYcn4LHsY9R06Fmgeoe
  AOZ6z0VkUiTWXV+HEc1HYOWVlYhPjce3Hb5FTYeaCIwJhP9Tf8zzngffcF/UdKipc9L6pcrtkT8v
  4w9ZHs8WGSkfu3TihO6jiGrWJHrwQJ+HFuWt9l+1CQrQjFMzyO5XO3rwLP9MjwcdJyhA87x0nw0G
  BQgK0Kqrq2i+93xqvaI1QQH6cOeH1H1td+q0uhMdCTxCf/n8RWVnlaX6i+vT0otLKS45jhacW0D+
  Ef5U+6/aOnmuv76eoADtub0nxzKM2TOGiIjSVGl0POg4ERGFxoVSs2XNaP/d/TTfez5BAfp478fU
  dU3XbNtS5fcq9NXhr2jMnjFUd1Fd+vLQlzTj1Az66eRPGWkiEyOpz+Y+BAXoxH3dD+Lx88cEBWjc
  /nG0yGcRuSxwoQaLG9DHez+m+zH3acyeMTR+/3giIuq3pR/129KPoAAN3zmcvB55Ua9NvWjI9iFU
  bnY5+svnL3rw7AHZz7Gna0+u0Q8nfiAoQB1XdaSLIRfJbaEb7bm9h7498i2N2DWCjgZmPk35zMMz
  5Dzfmf53/H/U6u9W9LXH17Tz1k6afnI6NVzSkKAAtVjegqAABccGU1RiFPkE+9DiC4up/uL61GNd
  Dzp07xAN2zGMKs2rRI5zHenHEz/Sexvfo2oLqlFQTBBVnleZjgUdI5VaRWcfnaXWK1rT2UdnyXm+
  M92PuU9ZJaYmku2vthnb3H1td7KeZU19NvehHut6EBSg88HnKUWZkrHvdF4tH4TZZ3Mf2ui3Mc/9
  UF+XQy9T8+W6j5MPjA6kyvMq09AdQ6nSvEo0ePtgnflBMUH0+Ll80Oq3R76lNivbkPN8Zzr76GxG
  mqOBRwkK0IQDEygxNfenCHs98qLnL55ny7/SvEoZ233i/glqtqwZERFdDLlIV8KukNN8J1p4fiG5
  LXQjxSkFbfTbSOV/K0+f7P2EJh6aSFCA7OfYk9N8JxqxawSturpKZx3rr6+npsua6uwna3zXEBSg
  0LhQWnl5Jd2Lukerr66mf678Q8lpyTTj1Azqu7mvXvV6JewK7by1k4iIklKTqPK8yhQUE0QfbPmA
  fjr5EznPd6YBWwdQ70296bN9n1H9xfWp7KyyVOevOrT5xmaqtbAWfbL3E/ra42tKSMnnmYTp1Go1
  LTi3gKKTonWm77y189V9xuaNG7IEq7Q+H7VaPh09KUmv7c5T23/aEhSgz/Z9Rk2WNqEe6/J/wOSn
  +z6lD3d+SDX/rElzveaSSq2i2WdmU7UF1eh379+p4tyKBAXI/GdzggJ0NewqWf5iSVCA4pLjKDQu
  lIRCkNnPZgQFyH2DO0EBWnh+IXVc1VFnXYfuHSIoQMlpug8NTFWm0hrfNRQQHZBjGT/b9xktu7iM
  Pj/wOVWeV5mc5zvTyF3Zn0Cs+RJVnFuRfjn9C/Xa1Is+2/cZLb+0XCfdvjv7CArQrae3suVx9tFZ
  Uqnlk2RvPr1JG/02klIlH29/IeQClf+tPK24vIKsZ1lTbHIs2f5qS/vv7iciovsx9+nBswfUfHlz
  ggL07oZ3qf/W/kQkg4/Zz2bkNN+JPtv3GX205yNKTE2kWadnkfnP5jR853AiIlp8YTFV/6M67b2z
  lwKjA8lmtg1BAXr7v7fpk72f0IrLK8jrkRddDr1M2/y36ZRdqVKS9SxrEgpBj58/ptjkWPJ94ktd
  1nQhq1+syOuRV8b6JxyYoLPs2D1jacrRKeQ034nUuTw480LIBXqR9oKq/l6VNvptJLeFbmQx04I8
  H3iS1S9WlKJM0fkc3De409lHZ8llgQvFJMXkmGdBPXvxjMrNLkchsSH08d6PadTuUdRxVUeacGAC
  +QT7EBSgv3z+ynX55LRkWndtHa3xXZNRXiKia0+uERTIFqD1dSHkAi27uIwc5zpS46WNaZPfpox5
  KrWKrH6xIihA9RbVy6jfQ/cO0crLKzP2FyhAC84toB9P/EiKUwpaeH5hRr298c8bdDjgsM46zz46
  S9UWVMu1TAkpCWQ9y5rSVDk8oTydT7APrb66mtwWupHDHAfyj/CnSYcn0ZDtQ4iIaL73fBIKQcN3
  DqdbT28RFKApR6fQNv9t1OrvVvTDiR+IiGj37d208vJK6rWpV8bnEZccR0ExQbT04lKddarUKpp+
  cjr13tSbrH6xotdXvk6jdo/K+Ks8r/KrG8SPH5clAIicnORf5crppTKC9ze+T1CAem/qTTtu7iCn
  +U50J/JOtnTXw6/Trlu7iIiozl91yD/CnxotaURQIKNVbDHTgpQqJflH+NO0Y9Oo7T9tyfuxN6nV
  auq8ujNBkVnoq2FXqemyptT+3/ZUa2EtggI0aNsgGrhN92m2qcpUuhByocDb9cvpX+j7499TlzVd
  aMKBCQQF6H/H/5ct3e3I29RjXQ+yn2NPZx+dpbb/tKVem3pla/lHJUYRFKBnL54VqBypytSML1vd
  RXWJiOh88PmMIK8xfv94KjOzDEGBjECrUqvo3ONzVHZWWXJb6EaXQi8REdGSC0syWrYeAR5U88+a
  GV/WmKQYggJkPcuaav9Vm97b+B7tu7MvzzLa/mqbLRAvu7iMav5Zk1RqFfXf2p+gAJ15eEZnuaUX
  l1KF3yrQgK0D8q2HiyEXKUWZQl6PvOjMwzOkVqvpfPD5jPn+Ef7kEeBBnVZ3ouE7h9OSC0vyzbMg
  Ks6tSOP2j6N+W/rRWt+1tNZ3LUUnRVOKMoWsZ1ln1G1BqNQqnW0oDLVaTRXnVqTWK1pnOxA2WtKI
  3ln/Dt18ejPbcgkpCeQf4U+XQi+RSq2ilZdXZnxOLZa3oMHbB1PleZWzBeM0VRpdDLmYZ5nqLqpL
  Zx+dpd/O/qYz/UrYFRq6Yyg5z3emsrPK0sd7P6aVl1eS65+u5LLAJaN1HBYXpvNL/Xzw+Yxtuxd1
  j2KTY3XyjU+Jp/XX11P/rf2pzco2VG9RPbKZbUOLfBbRiF0jaOiOofTO+neozco2tNZ3LQXFBNEm
  v00Zn+Na37V0+uHpVzeIb9iQGcR9fYnCwojatjVeEB+0bRBBAWqwuAH5BPvQl4e+pJmeM7Ol07S8
  R+0eReVmlyOVWkX3ou7R6ytfz8ij/uL6GenjU+J1Wq2JqYl0L+qeTp7DdgyjGadm0MNnD2nMnjHk
  PN+ZJh6aaJTtWuu7lir8VoHqLqpLwbHBBAWyta415nnNo57re1JgdCDVWliLXlvxWo4HjithVwpV
  Fr9wP3Jb6Eb9tvTLNU1oXChtvrGZys0ul+2neeOljUkoBKUqU4mIaMP1DQQFqNbCWlT9j+oZ3UhE
  MrAIhaA3171Jlr9YUrNlzfINUA+ePcjWmkxRptDdqLtERBQQHUAH7x3MFmQ0LdEF5xbkXwl6uBp2
  lRouaUgOcxwoIiHCKHlqtPq7FUEB8gn2yTbvcujlXH9JFIVua7tl65okIuq9qTf9ce4PvfLwCPAg
  KEAdVnWg7Te30ya/TXTtybVClaffln5UbUE1ggI0fv94+mDLBzRo2yBq/297+urwV3Ty/km6EXGD
  ElMTSa1W04G7BzL2FY27UXcpKbVgXQWJqYm01X8r7b2zl049OEVCIeibI9/QJr9NtMlvE4XHh+e5
  fF5B3KQnNsPD5VDC58/lQ4oB+SCHKVOMk39cinyo4d3ou3C2c4Z7XXf8fu53TO86HX+e/xP9GvaD
  Q1kHHLh3APZW9vjv+n+oZFMJZsIM9SrWQzuXdlhyaQmaV22ucxWjraWtzugTGwsb1KtYT2fdc9+a
  C1tLW1SwroA21dpg7bW1qGZXzSjbVcOhBp4lP8NC94Wobl8dTSo3gatDzo8oGvf6OAxqMggVrSsi
  MjESqapUONtmH/pT2KFXzao2QxfXLqhhXyPXNNXsqmFwk8FoXLkxbCxsdOZt7L8RL9JeZAzJLF9W
  3sns4fOHaFalmc7JaDNhhvJly6OWQy0E2QbhxtMbOW6Ltlrla2WbZmlumXGCuq5jXZ2TpRpNqzSF
  vZU9OtbomGf++rKzskNQTBCc7ZxRpZxxn5SclJYEO0s7nWGMGq9VM+3DN//p/U+O+/1f7n+hko1+
  j7zv4iqfn9i4UuOMk/eF1axKMwREB+D9eu/D85EnZr85G1efXMWeO3twYPgBOFo76qR/v/772fLQ
  7DsFYWNhg8FNBme8vzb+GppWaZrrSKyCMGkQj4iQdymcOjVz2rvvyj9jiEuJQ0unlrgWfg1Otk6w
  s7TDpbBLSFOlYY7XHFwMuwi/CD+MbjEak9tPhp2Vnc6Vk5oA4PGhB1JVqQVadw2HzKDmVl5eajqs
  6TDDNwrICJiaIVp7h+7N9Yy7vZU97K3sQURIUaUgLD4MVW3zGfpTQHPfmpvjuHhtZsIMzas2zza9
  pVNLnfeaIA4gx2F4jtaOcLZzRl3HungU+8joAVHD3MwcFz65gAYVsw9rKwxbS1ukqdNQ0bqiUfLT
  dnrMaZSzLGeyS/TzktMBEgDcKrjlOD0n1hbWCP8mPFsDoDC+af8NJradCEtzS7xQvoCTrRM+aPgB
  RrcYnS2Av0w5fRcKy6RBPCoKaGCc70g2I3aNgF+EH2Z2n4lr4ddgaW4JS2tL1CpfC61WtEJkUiS2
  +G/BT11+wg9dfsjxopWJb0zE8GbDMy7oKCz3uu54POmxTmA3RL2K9RA4MTDjQpms47hzIoSAUq2E
  jYVNrhfwFJYxDwqaIF61XNUch+FVsK4AZ1tn/NP7H0QlReV78DBEw0pZb5tfeHaW8k7N+rY+C8LY
  B+VXkbG20aFs5u1OHSBfCyGy/ZIuTgxvyxsgIUE+uNiYgmKC8OGuD7HxxkYkpiViYOOBeDQp88bj
  +4buQ0JqAmwtbWFlboWv23+da1CzNLc0OIADcicxVgDX0Cdw56Se46u9s1ayqYRKNpVQv2L9HFsr
  VcpVQQ2HGnCr4FZ043CNwMbCBgLipQRxVrqZtCWekADY2uafTh+RiZGYdnwaHsc9xq3IWxnTHawc
  dI6+bhXccG/iPbxIe4HEtESdn++lwVu13zJ1EfJU1bYqbnx+AwIClctVzjZ/bd+1qGBdwQQlM4wQ
  AraWti+lO4WVbiYN4omJQLlyuc9fcnEJXqS9wHcdv8s3r4uhF7H62mpUtK6Ih5MeYsnFJfj+xPew
  s8re1Lc0t4SluaVOcC8NYqbE5Fgfr5qcrkzUyCmwFxd2VnbcEmdGZ/LulLxa4ksuLsGU41MQlRSV
  b17+T/1hXcYag5sMhq2lbcZJSWOc/S0pKlhXyPNGSezlsrW0RUUbbokz43qlu1OSlcmoULYCAmMC
  823B+Ef6Y9G7izC6xWgAxj0pxZgx2FlyS5wZ3yvbEo9LiUNkUiS61uqKx7GP88xnje8abPDbgNer
  vZ4xWqGlU0sk/S/J2EVmrNCq2lbNczw9Y4Vh8pZ41j5x/6f+mOM1BwMaDUCzKs1Qy6FWxi1Vc3Mz
  8iamdpyabcyxtYW1sYvMWKHtGbKHu7OY0ZmsJU6U84lNvwg/7Lq9C5M8JmFOjzmo4VADwXHBOBZ0
  LOOhAVk9T36OOhUKN+SOsaJiYW7xSl6Qw4o3kwXxlBTAvAyh7epWeBL/JGN6cGwwkpXJqGRTCd3d
  uqOGfQ1cj7iOMXvH5Pr8yufJz4vlsDPGGDOUyYJ4QgJgUzUU18KvYfst+Qw/IkJwXDCqlquKsa3G
  ApAnKL0ee2F40+GITYnFi7QX2fJ6nvy81I33ZowxwIR94gkJgGV1f1QoWwHLLi2DlbkVll9ejirl
  qmD5+8vxQaMPAMj7Z6RNTwMA7Ly9EyFxIfj+xPcgEHYO3gki4iDOGCu1TBrEUfUGRrUYhbiUOMzw
  nIHGlRvj2P1j+LVHzk/w1vSPHw06ivjUeBARzGbKHxMcxBljpZHJgnhiIkAVAtGgYkt83uZzAEDM
  ixj039o/1zuf1XSoicexj+Fs54z46Hj4hPhkzOMgzhgrjUzaEjezSoKtZeZAcUdrR3iO8cx1GVcH
  Vzx49iDj/hN77+7NmOdgVbouoWeMMUDPE5tCCHchxB0hxD0hxNQc5n8rhPAVQlwVQtwQQiiFEHk2
  jRMSADPLZJQtU1bvwjap3AS3om4hPjUeAOD12Cvj8vqXeUtSxhh7VeUbxIUQZgCWAOgJoAmAYUII
  nWvaiWg+EbUiotYAvgfgSUTP88o3IQEws0iBVRkrvQvbtEpT+D/1R1RSFBpWaojrEdfRuHJjvZdn
  jLGSRp+WeFsAAUT0iIjSAGwB0DeP9MMAbM4v04QEAGUK1hJvUKkBHj5/iPCEcDSr0gwJqQkY0mRI
  tis1GWOstNAniLsA0L7uPSR9WjZCCGsA7gB25pdpYiIKHMQtzS0znnWpeaZku+rt4DvOV+88GGOs
  JDH2ic3eALzy6kpRKBQAgNOngWTXSFiZ69+dAgDdXLshMCYw4+GrL+sZi4wxZiqenp7w9PTUK60+
  QTwUgPZTeKunT8vJUOTTlaIJ4lOmAHdtdxeoJQ4AUztNhYpUcLZzhoWZBY9KYYyVON26dUO3bt0y
  3v/888+5ptWnO+USgLpCCFchhCVkoN6XNZEQwgFAVwB7s87LSUICoDIrWHcKIJ+evbrvajjbOqNK
  uSp8QyHGWKmWb0uciFRCiC8AHIUM+quI6LYQYpycTSvTk/YDcISIst/cJAeJiYAKBRudoq151eaY
  0GZCoZZljLGSQhBR0a1MCNKsb8AA4GRrJ9z+6lqez1RkjLHSTggBIsqx28GkdzFMo4J3pzDGGMtk
  4iCeUuDRKYwxxjKZLIjHJxDS1IXvE2eMMWbCIJ74IhVlzMrATJj0Wc2MMVasma4l/iIFVubcH84Y
  Y4YwXUs8lU9qMsaYoUwWxFVI5v5wxhgzkMmCuJJSYM0tccYYM4hJgjgRoBLcncIYY4YySRBXqwFh
  yd0pjDFmKJME8bQ0wNwyhVvijDFmIJMEcaUSMLfiljhjjBnKdEG87AtYl7E2xeoZY6zEMFkQN7N8
  AWsLDuKMMWYI0wVxqyTYWNiYYvWMMVZimCyIC0vuTmGMMUOZtjuFgzhjjBnEdC1xC+4TZ4wxQ5ks
  iMOS+8QZY8xQpm2Jc3cKY4wZxGRXbKIMd6cwxpihTNedYsHdKYwxZiiTBXEqw90pjDFmKL2CuBDC
  XQhxRwhxTwgxNZc03YQQvkIIfyHEqbzyywji3J3CGGMGKZNfAiGEGYAlAHoACANwSQixl4juaKVx
  ALAUwDtEFCqEqJRXntwSZ4wx49CnJd4WQAARPSKiNABbAPTNkmY4gJ1EFAoARBSVV4ZKJUDm3CfO
  GGOG0ieIuwAI1nofkj5NW30AjkKIU0KIS0KIkXllqFQCanPuTmGMMUPl251SgHxaA3gTQDkA54UQ
  54koMGtChUKBu3eB5OBg3OhwA637tTZSERhjrGTw9PSEp6enXmkFEeWdQIh2ABRE5J7+fhoAIqK5
  WmmmAihLRD+nv/8XwGEi2pklLyIi7N4NfHi5Jm5/dxau5V0LsGmMMVb6CCFARCKnefp0p1wCUFcI
  4SqEsAQwFMC+LGn2AugkhDAXQtgAeAPA7dwyTEsDVGbcncIYY4bKtzuFiFRCiC8AHIUM+quI6LYQ
  YpycTSuJ6I4Q4ggAPwAqACuJ6FZueSqVgJqfds8YYwbTq0+ciDwANMgybUWW9/MBzNcnP6USIKGC
  uTDXt5yMMcZyYLorNoUK5mYcxBljzBCmC+JQckucMcYMZKK7GBJIqLklzhhjBjJNEFeqARIwEyZZ
  PWOMlRgmiaKpShXMwK1wxhgzlIla4ioIDuKMMWYwbokzxlgxZrIgzi1xxhgznMm6U8x4eCFjjBnM
  dEGcW+KMMWYw0wRxFQdxxhgzBu5OYYyxYsx0LXEO4owxZjDuTmGMsWKMu1MYY6wYM81dDFV8L3HG
  GDMGkwRxFXFLnDHGjMF0QZz7xBljzGAmCeJq4u4UxhgzBtO0xNXcncIYY8bAfeKMMVaMcXcKY4wV
  Y9wSZ4yxYkyvIC6EcBdC3BFC3BNCTM1hflchxHMhxNX0vx/zyo9b4owxZhxl8ksghDADsARADwBh
  AC4JIfYS0Z0sSc8QUR99VsotccYYMw59WuJtAQQQ0SMiSgOwBUDfHNIJfVdK4JY4Y4wZgz5B3AVA
  sNb7kPRpWbUXQlwTQhwUQjTOK0MVlDAX+f4IYIwxlg9jRdIrAGoSUZIQ4l0AewDUzymhQqFAiN89
  IDoInq080a1bNyMVgTHGSgZPT094enrqlVYQUd4JhGgHQEFE7unvpwEgIpqbxzIPALxGRDFZphMR
  ofWwvbBstwo+X+3Tq5CMMVaaCSFARDl2WevTnXIJQF0hhKsQwhLAUAA60VcIUVXrdVvIg0MMcqHi
  0SmMMWYU+XanEJFKCPEFgKOQQX8VEd0WQoyTs2klgIFCiM8BpAF4AWBIXnmqoYK5GQdxxhgzlF59
  4kTkAaBBlmkrtF4vBbBU35XyOHHGGDMO01x2DxXMuCXOGGMG43unMMZYMWayljj3iTPGmOFM1hIv
  wy1xxhgzGLfEGWOsGDNJEOd7pzDGmHGY7sQmt8QZY8xg3J3CGGPFGAdxxhgrxkzWJ86jUxhjzHDc
  EmeMsWLMdC1xDuKMMWYwbokzxlgxxi1xxhgrxrglzhhjxRi3xBljrBgz3WX35hzEGWPMUKYJ4oJb
  4owxZgwmCuJKWJjp9WQ4xhhjeTDZic0y3J3CGGMG4xObjDFWjJmsT5xPbDLGmOG4Jc4YY8WYXkFc
  COEuhLgjhLgnhJiaR7o2Qog0IUT/vPIjoYKFOZ/YZIwxQ+UbxIUQZgCWAOgJoAmAYUKIhrmk+w3A
  kfzyJKHkIM4YY0agT0u8LYAAInpERGkAtgDom0O6iQB2AHiaX4YklNydwhhjRqBPEHcBEKz1PiR9
  WgYhRDUA/YhoOQCRX4bcEmeMMeMwViRdCEC7rzzXQK5QKKC+cRN7/9mBGvGV0K1bNyMVgTHGSgZP
  T094enrqlVYQUd4JhGgHQEFE7unvpwEgIpqrlea+5iWASgASAXxGRPuy5EVEBPORvbBtyngMaNZL
  z01ijLHSSwgBIsqxcaxPS/wSgLpCCFcATwAMBTBMOwER1dZa2RoA+7MGcJ30QgnLMtydwhhjhso3
  khKRSgjxBYCjkH3oq4jothBinJxNK7Muku9azbhPnDHGjEGvSEpEHgAaZJm2Ipe0Y/PNj09sMsaY
  UZjkik2YcXcKY4wZQ5EHcSJwdwpjjBlJkQdxtRqAmRJl+H7ijDFmMA7ijDFWjJkkiAtzDuKMMWYM
  3BJnjLFizGRB3FzwDbAYY8xQJgriKm6JM8aYEZhsiCEHccYYMxz3iTPGWDHGQZwxxoox0wRxoRvE
  a9WqBSFEifirVatWUVcpY6wUK/LmcE4t8UePHiG/+5oXF0Lk+2AjxhgzGpO0xIm7UxhjzCi4T5wx
  xoqxIg/iKhXJi334afeMMWawIg/iSpUaUJvBTJjmVuaMMVaSFHkkTVUpAeKuFMYYM4YiD+JpSiUE
  Fa+ulGfPnuGDDz6Ara0t3NzcsHnzZlMXiTHGAJhgiGGaSgmoi1dLfMKECShbtiwiIyNx9epVvP/+
  +2jZsiUaNWpk6qIxxkq5om+Jq1QQxag7JSkpCbt27cKsWbNgbW2Njh07om/fvli/fr2pi8YYY6YI
  4spiFcTv3bsHCwsL1KlTJ2NaixYtcPPmTROWijHGJJN0pxQmiBvjQsjCXBSakJAAe3t7nWn29vaI
  j483vECMMWYgvVriQgh3IcQdIcQ9IcTUHOb3EUJcF0L4CiEuCyHezC2vwgZxIsP/CsPW1hZxcXE6
  02JjY2FnZ1e4DBljzIjyDeJCCDMASwD0BNAEwDAhRMMsyY4TUQsiagXgIwArc8svrZgNMaxfvz6U
  SiWCgoIypl2/fh1NmjQxYakYY0zSpyXeFkAAET0iojQAWwD01U5ARElab20BROWWWXHrE7exsUH/
  /v3x008/ISkpCV5eXti/fz9Gjhxp6qIxxpheQdwFQLDW+5D0aTqEEP2EELcBHALwZW6ZpamUMCtG
  QRwAli5diqSkJFSpUgUjRozA33//zcMLGWOvBKNFUyLaA2CPEKITgPUAGuSUbvPqxVDei4ZCoUC3
  bt3QrVs3YxXhpalQoQJ2795t6mIwxkoJT09PeHp66pVW5HcfbyFEOwAKInJPfz8NABHR3DyWCQLQ
  loiis0yndUev4PPDnyDxj6va00vU/cRLyrYwxl4N6XElxzF6+nSnXAJQVwjhKoSwBDAUwL4sK6ij
  9bo1AGQN4BrFrU+cMcZeZflGUyJSCSG+AHAUMuivIqLbQohxcjatBDBACDEKQCqARABDcstPqeYg
  zhhjxqJXNCUiD2Tp4yaiFVqv5wGYp09eSrUSZiheN8BijLFXVdHfT1ytgij6C0UZY6xEMsFDIbg7
  hTHGjKXIg/jqBz/BjCyKerWMMVYiFXmTeEj1qTh8Ksch5IwxxgqoyFvi7Sv0g10KX+3IGGPGUORB
  XK0GzIrZM5KXLl2KNm3aoGzZshg7dqypi8MYYxmKvDslJaX4BXEXFxdMnz4dR44cwYsXL0xdHMYY
  y1DkQfzgQaBz56Jeq2H69esHALh06RJCQ0NNXBrGGMtU5EF882bA37+o18oYYyVTkQfxsDDA1rbg
  y4mfDX8+G83gG1MxxkqWIg/ihQngAAdgxhjLSTE7xcgYY0wbB3E9qFQqJCcnQ6VSQalUIiUlBSqV
  ytTFYowxDuL6mDVrFmxsbDB37lxs3LgRNjY2mD17tqmLxRhj+T/Zx6grE4JyWl9JehpOSdoWxtir
  wdAn+zDGGHtFcRBnjLFijIM4Y4wVYxzEGWOsGOMgzhhjxRgHccYYK8ZeiYddurq6QgjD743yKnB1
  dXTDg+sAAAQxSURBVDV1ERhjpYhe48SFEO4AFkK23FcR0dws84cDmJr+Nh7A50R0I4d8chwnzhhj
  LHcGjRMXQpgBWAKgJ4AmAIYJIRpmSXYfQBciagFgFoB/DCtyyefp6WnqIrwyuC4ycV3o4vrInz59
  4m0BBBDRIyJKA7AFQF/tBETkQ0Sx6W99ALgYt5glD++cmbguMnFd6OL6yJ8+QdwFQLDW+xDkHaQ/
  AXDYkEIxxhjTj1FPbAohugP4CEAnY+bLGGMsZ/me2BRCtAOgICL39PfTAFAOJzebA9gJwJ2IgnLJ
  i89qMsZYIeR2YlOflvglAHWFEK4AngAYCmCYdgIhRE3IAD4ytwCeVyEYY4wVTr5BnIhUQogvABxF
  5hDD20KIcXI2rQQwHYAjgGVCDvhOI6K2L7PgjDHGivh+4owxxoyryC67F0K4CyHuCCHuCSGm5r9E
  8SaEWCWEiBBC+GlNqyCEOCqEuCuEOCKEcNCa970QIkAIcVsI8Y5pSv1yCCGqCyFOCiFuCiFuCCG+
  TJ9e6upDCGElhLgghPBNr49f06eXuroA5HUoQoirQoh96e9LZT0YhIhe+h/kwSIQgCsACwDXADQs
  inWb6g9yhE5LAH5a0+YCmJL+eiqA39JfNwbgC9m9VSu9roSpt8GIdeEEoGX6a1sAdwE0LMX1YZP+
  3xzyuoqOpbguvgawAcC+9Pelsh4M+Suqlni+FwyVNETkBeBZlsl9AaxLf70OQL/0130AbCEiJRE9
  BBAAWWclAhGFE9G19NcJAG4DqI7SWx9J6S+tIBs4z1AK60IIUR3AewD+1Zpc6urBUEUVxAt6wVBJ
  VYWIIgAZ2ABUSZ+etX5CUULrRwhRC/IXig+AqqWxPtK7EHwBhAPwJKJbKJ118SeA7wBon5grjfVg
  EL4VrWmVqrPKQghbADsAfJXeIs+6/aWiPohITUStIH+NdBZCdEMpqwshxPsAItJ/oeU19LhE14Mx
  FFUQDwVQU+t99fRppU2EEKIqAAghnAA8TZ8eCqCGVroSVz9CiDKQAXw9Ee1Nn1xq6wMAiCgOwCEA
  r6P01UVHAH2EEPcBbAbwphBiPYDwUlYPBiuqIJ5xwZAQwhLygqF9RbRuUxLQbWXsAzAm/fVoAHu1
  pg8VQlgKIdwA1AVwsagKWURWA7hFRH9pTSt19SGEqKQZcSGEsAbwNuQJu1JVF0T0PyKqSUS1IePB
  SSIaCWA/SlE9GEVRnUEF4A45KiEAwDRTn9Etgu3dBCAMQAqAx5D3lKkA4Hh6PRwFUF4r/feQZ9xv
  A3jH1OU3cl10BKCCHJXkC+Bq+v7gWNrqA0Cz9O33BXAdwLfp00tdXWhtX1dkjk4ptfVQ2D++2Icx
  xooxPrHJGGPFGAdxxhgrxjiIM8ZYMcZBnDHGijEO4owxVoxxEGeMsWKMgzhjjBVjHMQZY6wY+38Z
  uUqAGdlr2wAAAABJRU5ErkJggg==
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f797c06cd90>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "source": [
      "data=shelve.open(\"./scores/RAW_ASR_TRAIN.shelve\")
  ",
      "scores={}
  ",
      "#del scores_ordoned
  ",
      "for key,table in data.iteritems():
  ",
      "    scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)
  ",
      "    print key,scores[key]
  ",
      "   # if key not in scores_ordoned:
  ",
      "   #     scores_ordoned[key]=[scores[key]]
  ",
      "   # else :
  ",
      "   #     scores_ordoned[key].append(scores[key])
  ",
      "#data.close()
  ",
      "#show_network_TRANS(scores)
  ",
      "    pandas.DataFrame(zip([x[0] for x in data[key][0] ],[x[0] for x in data[key][1] ])).plot()
  ",
      "data.close()"
     ]
    },
    {
     "cell_type": "code",
     "execution_count": 155,
     "metadata": {
      "collapsed": false
     },
     "outputs": [
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "scores/MINIAE_BIGBIN_TANH.shelve
  "
       ]
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xd4FFUXB+Df3U0nhSSQEAKh9xKpUjWAIopSBUEFlQ8F
  FMSGICqEIoKAKAKCgAVEUIpSpAuhSyK9JJQAIYRAAgnpfc/3x8nupmwKZMkSOO/z5MnO7N07d2Zn
  z5y50xQRQQghRNmksXQDhBBC3DsJ4kIIUYZJEBdCiDJMgrgQQpRhEsSFEKIMkyAuhBBlWLGCuFKq
  m1IqRCl1Xik11sT75ZVS65RSJ5RS/yqlGpq/qUIIIfIqMogrpTQA5gF4BkAjAAOVUvXzFBsP4BgR
  +QJ4DcBcczdUCCFEfsXJxFsDuEBEYUSUAWAVgJ55yjQEsAsAiOgcgOpKqYpmbakQQoh8ihPEvQGE
  5xi+lj0upxMA+gCAUqo1AB8AVczRQCGEEAUz14HN6QBclVJHAbwD4BiALDPVLYQQogBWxSgTAc6s
  9apkjzMgogQAQ/TDSqnLAC7lrUgpJTdqEUKIe0BEytT44mTiQQBqK6WqKaVsAAwAsCFnAaWUi1LK
  Ovv1mwD2EFFiAQ2RPyJMnDjR4m14UP5kWciykOVR+F9hiszEiShLKTUSwPbsoL+UiIKVUsP4bfoB
  QAMAvyildADOAPhfUfUKIYQoueJ0p4CItgKol2fcohyv/837vhBCiPtPrti0ED8/P0s34YEhy8JI
  lkVusjyKporqbzHrxJSi0pyeEEI8DJRSoBIc2BRCCPGAkiAuhBBlmARxIYQowySICyFEGSZBXAgh
  yjAJ4kIIUYZJEBdCiDJMgrgQQpRhEsSFEKIMkyAuhBBlmARxIYQowySICyFEGSZBXDy0TpwAOnYE
  DhwA5s0D9u+3TDsmTgRCQvj1vn3AkiWWaUdJJCYCb70FlOT+dUePAt9+W/D7w4YBqan3Xv/9Nn06
  0LNnyZbB/SBBXDy0duzgwL1+PTBpErBpk2XasWgRsHAhv/7nH2D5csu0oyRCQoDFi4GgoHuvY8sW
  /i5MSUgAfvgBOHPm3uu/nxISOIjv3QtcuWLp1uQmQVw8lEaP5uz7hRc4+CQlAcePmy574gQwYAC/
  njgR+Pnnu5/ejz8CSnG26eMDvPQSUKECsHEjEBsL/P47Z3BhYTw9IqBePeCPP4A33wS2bbvnWb0r
  SgG9egFt2gDduwNnzwLPPsvj9XsLeosWAV98wa/Dwvj/smXFn9amTUD58kBAAA8fPw7cvMmvx44F
  Nm82ltXXf+JE8evv0gWIiuLX8+cDEybwvJnT+vXAuHHAmjWAnx/Qrh0H8nbtOLA/EEr5OXEkCpee
  zn+PmuRkoowMotRU47jMzNzDectnZZl+LzaWyNaWCCBas4b/f/YZUaVKXN/ly/x3/ToPf/MNkZMT
  UVoaUYUKRIMG8fjISNP1x8XxX07vv891DB/O0wOInn+eqHp1Ij8/Ind3oogIfg0QnTrF/3v1IqpS
  hah3b64nK4soJSV33SkpxvGXLxMlJXFb9cuhIKmpvEzT0/nz0dHGtun/OnUyvt64kT8XGcmfrV+f
  yMODKCaGaNYsbmuFCkQXL/L0dTr+HxVFFB7Ow1eucBtTUog++ojr/eYbosREolq1iNzceBqdOxON
  GUN09SqX//13LjtkCA8nJhY8X/rvGCD6918e/t//iBo0IHJ25nYQGZeRfrlmZBiHk5IKr19v9Gii
  xx7j723tWqJPPuHvFCD67jvjtKKiCv8udLrc7+t0xW9DWhpRduw0HVcLeuN+/EkQL9qUKUSTJ1u6
  FaXv8ceJ+vQheuUV47glS4iGDjVdvmNH/lGZsmoV0dNP819yMlHXrvyj9/AgatOGyNOTqFo1Ihsb
  ohdeILK3NwabihWJfH2J3nuPxwUF5a47I4M/W7Vq7qDw8stEkyZxsNYH5+vXiZo0IZo5k6hLF6LN
  m4lq1MgdOGvWJCpXjsjOjjday5cT9e+fe5oeHkQjRnBbK1YkataMp3P+PP+/edP0chg8mIPv0KFE
  TzxB5OjI03R0JNJoOCA1aEA0fjyRVks0bx7R4cPGDZCPD8+XpyfRm28SzZlD9PrrPPzKK0TTpxO1
  bcv1OTnxNMqX541ljx68/Dt14mXZowdvFKysOCg1bMjz7exM5O3N02zZkpdPlSr8ujB79vBn/vqL
  h7t353kCeKOTmcnLNiCA3//kE6Jhw/j1pUv8HRaHnx+32d2dN2w7d/LGaOJEIldXosWLeR2ztuay
  Bdm2Lff7Bw7wsivK3r28TCSIW1h6OlFISMHvh4Yat+hDhxYcuPTOneOsKiKCg1NEBNGZM7nri44m
  2rCBKDCw4HquXCk4G0hL43rMKTqa6MaN/OPT0zmgajQczMLCiK5dI/r8cw6oe/dydkbEWeDJk7zm
  fvIJjzt9mujCBZ7fK1eIxo41vSF8910O2PosumtX4w+/YkUOQN9+y2XatCF68kmid94h+u8/rnvD
  BqKvviJq1Yo3OtOnc1uCg/kHun07Z5o1a+af9gcfEE2dyvOZmkrk4GAM5O3bE3l5cWB6803+0aam
  cnZLZCzn6koUH89BUimiAQN4/LZtXO7GDc5gIyJ4GdrbczB2duZyShnr2rkzd/u+/JIz4+HDORhr
  NER9+/J7nTvz97JuHQ/fvs11VqvGdb7/PtHKlVzv3r3chvLlObh/8w3vZXh7c/CsXJnnS7+xW7eO
  N4YAbyCIOGv28SE6fpz3Cnbs4M9s2MB7MEREc+fyZxYt4uGWLY3z9uuvvOFUiui117j+SpWIXFw4
  6C9YwOUCA7nOLVs46OcVHMzzUbEib0Tz+vtvztLXruWNoYcHb6j16/TmzUR37vDw1Km8PPR7jz/+
  yHuLORMBU15/Xf+9SRC3qI0beSUy9YUlJHBGsmkTDz//PP8Vpn59otatiZ59ljP3zp35m9RnZE8+
  SfTcc7zb5+zMP2hTnn+eVyZT1q0rPLO4F/oMNC991wLAP/LWrYmeeooDmn583768oatTh9+vXJnn
  MTiYV/KWLTlDbdKEqFs3ovXr80/n4kXONvXGjOHPvvsu0c8/c9YZF0fUooUxINWowQHn2WeN383W
  rRywn3+eA4OrK9dz8iTPY6dO+ae9Zg1n7/Xq8TBnV0QvvcTfQZs2vB7o53fMGN6AEfGG4YUXOPgQ
  cba+cKGx7IwZPL5LF856X3mFg2CdOvx+9+68l7B0KQcbgOjYsdzt++03on79+HP6LFe/Idyzh/cs
  9BsVIg6So0ZxMA0N5Wz000+Nycj8+URvvMGB0sfH2M3RrBnRwYOc3b7/vrHL45tvjF0jRFzXhx/y
  egDwd16vnnGZ9OjBG5FJk3i4ShXj8tDP8/z5vJ5s2cKfnzKFs199mXLl+LdTowbv9eXVsSPRiy/y
  OnP2bP73MzJ4nQG4C+6nn3hdOHmS5wcgmj2by/brx8MXLvDwxIk8nDP5yku/MZwxQ4L4fXPrFtHu
  3fnHx8QYs6P//uOtqb5/NmcGlJjIu3gODsZd6FatjLuSGzYY+9EuXiQ6coTr0GePGg1ncXZ2ZOgO
  ICKqW5c3GhMncv3Tppluf6NGRBMm5B73ww/c9tmzjQGHiAPN1Kn8ozW1MUpM5B/21KncxuRk4zIg
  4g2Zvj94yhQO3KGhPE/Dh/MPycrK2I2hFFHz5vx6wAB+f+pU4w9w7FjO7j75xDguPJwDhrU1Z+RF
  +fVXotq184+fM4d//JmZ/N1UrGgMTnl1726cflQUt/+NN/KXS0nhgD9lCg+3bcsbBz19Vg3wvFpb
  87SnTOHvN+/0dTremNeoweuLvz9nep6e/L0BnB1bWxP98YfxcxMm8HtXr+au7+BBDvr6bNHDw/SG
  8G5FRfH0OnTg4a5dOXBWqlT450JCeOPl6sobZYA3nC4uXKeLC6/XI0Zwxpu3r5+I11Nra04A5s/n
  cfHxvIei1fJ7aWlEf/7Jex+Zmbye7tjBQb1KFeMeYEGysnhjMmsWD48bxxvg5s35Ox00iMfXrcvf
  1eDBPI3XXuM2/PYb0dGjvHd99Civ41OnclfZr79y8kAkQfy+WbmSg2heX37JPzAi7ucFiNq1435D
  R0fjQZvvv+cf4I4dfMBIp+NsrWpV44Eb/e5Z3778+Zwrart2xtc2NpydEBl3n7//njP8p57K30ad
  jtvy2mvGcTEx/Lm2bTk7LV+exycncyAZP54DhP4AWE7z5/MGaNQoXqmXLOHdxZgYnpa7Owfpd97h
  FbtTJ85OnJy4f3TPHqIVK3ilBowZ46ef8i61nR13U4wbx+MPHODpODnxctAvv3/+4cyloKCbU0wM
  byjzunPH2N+u3ysoyJkzRCNH8g8yK4sztoK6sLZs4a4IIu5iqFvX+N7Ysdyl8vPP/J1/+y1v8HMG
  pbwCAjh7/ewz/m42bODvTqvlAJCWxss058Hhb7/l+vJ2o+mDm76fds0a3kssKZ2Ou6C2buXhbdsK
  n6ecfviBNyQTJ/I8paTwOjtlCu9trF7Nv7+cv4Hp0zkY6lWrxutdzo3W2rWcYTdtysP6A9rz53M9
  zs78GRubors7iPj3q6//7FleJ729+fhC06YcoD09iXbt4vW/bl1OaHr35kx+wADeIxsxgoN2//68
  59O1Kx/fITJDEAfQDUAIgPMAxpp43x3AFgDHAZwC8HoB9RS9RB5AwcH8Y9ALCeHMdM4c3lrnpM+Q
  tFoOfrVq8VLes4e3/JUr81Z70CAO1ps28WcqVOB+YBsbLq/PPoYM4d1nZ2fOSry8eHffwYF/5Pqz
  MPr35xU2Odm4Uq9bx3XqM8mffuJyy5dzMNF3X/z8M/fZ7trF81O5MlHPnvz+uXNEb79t3I1duJBX
  wv79OfP/7DOir7/mPuLNm/kHYW3NmZeXF2ddObtLwsI4qLi58cru5sbt0jt7ludJv7t56RKPb9mS
  l3d4OGfpCQk87WbNuJuhS5f7892/+Sbv1hcmMJCX2d0YPjz3ga3vvzdmXTnpv4fi+v573sMqyK+/
  8gbRlJdf5nbdbz163N08/fknb+iJeN7c3HhjsG9f7qRG34+e0xNPcPm8G/XJk41ZMhFviG1teZ19
  4gn+jfn43Nv8tWrFyYY++fnoI+46IuK+cnt73tM5dMh4bMHOjtfh1au5S0//e9fviZcoiIPPJb8I
  oBoA6+xAXT9PmYkAvsx+XQHAbQBWJuq6t6ViYdOn85F2vREjuO913DgOKDlPZQoM5MDdtClnhQ4O
  nC3pdJy1rVzJAb5nT85o9Qc6unThDYU+i27dmg9wAly+f3/emOgPWh09ynX+9x+veAsXcpZy/Lhx
  pT540JgFX77MK/PcubwCHT5snJZWy/8//piDlrW1MRPu35//Dx7M7UxP543Db79xEK5UievJ2edf
  uTJ39YSG8o/h7bd5OWm1xjLHjnEbQkJyZzs6HXexbNiQO2M8fdr4+sgR/p+YyEE+Pp53P++Ha9dM
  H4zNSafL38dcFH9/7orRu3OHu8zySkgo/KB4Xqmp3CdbkM2bC97gXL/O83u/JSTwulxcaWnGA5rd
  uxu7utLSeI/hxg1e748fz3/a6eDBpo9RREfnzs71e1/68UOGcDC/F5cvG/diOnfm9T7n+tGsGW8g
  srI4Dlhb80bK3p43TEQcR3LuURQWxK2KcSp5awAXiCgMAJRSqwD0zM7M9W4AaJL92gnAbSLKLEbd
  D7R9+/iS7RMngBs3eJxOxxduJCUBjRtzuLx2DahZk8v17Am88w4QGsoXkDRpAjz+OH+2YUOgRg3A
  1RUYPx5o3do4rebNgXffBby9gfh44L33eBpLlgDW1sAbbwD16xvL+/jw/xYtgDp1gLp1eVqbNvGF
  G0SApye/fuwxvhCiWTNg1Chg1Squt107YOtW/tzx43xhw3vv8ZV1wcHc1jVr+PMtWvD0rK2B3r35
  9ebNQNWqwPXrPC2r7LWpenXAwYGXSadOwNKlwDPP8DLRl3nsMdPLXCleFh4eQMWKXA8ANGqUe1kB
  QLly3EYAcHK6q6+22Ly9iy6jX8Z3w8eH1xs9Fxf+y8vRkS8KKi5bW/4+C1K5MuDlZfq9gsabm6Nj
  7nW5KDY2/FsDgNq1ef60Wv7r25fHe3qa/mydOrwu5VWhQu5hFxegTx/jcMuWxW9fXtWrG18PGcIX
  e+VcP1q04GWt0fDvOjyc14ezZ43z0arVXUywoOhOxuy5L4Afcgy/CmBunjIaALsBXAcQD+DZAuq6
  t02bhXz6KR+hbtCAuySIuHuhWjXecupP9dq5k7OxOXOIXn2Vt7Dx8Zx5R0fnr9fUaX1JSVz+xg3u
  DyfiAzlAwRed6MXF8fRnzOBumbp1+XP6vnf96Vi//MLDY8dy1v7JJzytpCRjxn3okDGT796ddw0T
  E01fgJSaarwgJ2c2PXCg8fS05cu5rv37jadbFdfdli9L0tOLvqDlfinLyzXnhU7FkZqa/+Kp4jDX
  92Pqop6c86DT8W9w9Gj+ncTHm64HJczEi+MTACeIqJNSqhaAHUqppkSUmLegv7+/4bWfnx/8/PzM
  1IR706cPb6nDwjgrdXfnrXCtWsDVq8C5c5wZZ2YCGzYAQ4cCbdvylnv5cqB9e+DFF4EnnwQOH+Z7
  dGg0nBk2bGh6mvrsMu+4vOUbNOD6K1UqfB6cnfn/K6/w5cz9+nGWWq4cjx8wgC8L12cavr58QyNf
  X74sGuDsQSnOcrp04Sw9PZ0zfH09edna8n+tNvf4Fi04ewL48u5Wrbg+pQqfj7xMZaYPC2tr/rOE
  srxcTf12CqNfR++Wub4fpfK3OeewUvwb1O+9Ojry+ICAAATo71dQlIKiOxmz5zYAtuYYHoc8BzcB
  bAbQPsfwPwBamqir5Js2M9LpuJ/Y2jr3ARL9mR9Vq/Lrpk25H3nIEB6eMMHYZxsebhwP5D7X9UF1
  9iy3NWe/5IIFfIqZEKL0rVvHpyAWBCXMxIMA1FZKVQMQCWAAgIF5ygQDeArAAaWUJ4C6AC4VbzNi
  ORERQEwMv37mmdw3ITpzBsjK4j5RX18et20b8MQTXLZVK+6r9PTkfmYvL+DixcL7Ix8Udepwdl6n
  jnFc27bA7duWa5MQj7IWLXL3yd8NxUG+iEJKdQPwLbjveykRTVdKDQNvHX5QSlUA8BMAHwAKfKbK
  ShP1UHGmd6+uX+duDx8f4MgRoGlT4y4RERAYyK+Tk/mA299/8x3kIiM5gD3xRO5bYbZty10FvXrx
  Qbxdu/jgXM2a920WhBCPmCPXj6CcTTnUr1Dw0V6lFIjIZIdksfrEiWgrgHp5xi3K8foWgBeK1eL7
  qFs34NQpDtivvQbMnQt07szvXb7M/dbVqnEgvnqVM+uhQ7nP182N+8MBYMoUPqPC15dvP6k/mtyo
  Ue4jz2XVjtAdaFixIbydi3HqhSixP4P/RKcanVDerrylmyKKKexOGC7fuQy/6n73fVpzA+fCycYJ
  856bd0+ff6juJ67Jnptly/iUwE2b+KEAZ88Cf/4JpKUBly4BAwdymVWrgNdf54OBAAdxV1fgs884
  2Pv68n2ha9cGXn6ZNwqaUlpix28cR1BECe7An4OOdFj430L9cQlMDJiIdcHrAADXE67j4x0f42rc
  VWw8txFf7P0CWbos3Ey8iTVn1+Sra+nRpcjIyjBLuyxl2Yllhc7DndQ7+O3Ub2aZ1r6wfej7R19s
  vbg133tbLmxBeFw41p5diyt3rhjGExEm75mMD7d9iL1he7HpfMmfZvHTsZ+QlplW4nruFhFh8ZHF
  xS4fcCUA526du48tKp5FRxah0y+dcDXuKtaHrMf1hOv5ymw8txER8RElnlZoTCgOhh8EwOtmamYq
  FgQtwLITy7Di5ArEpsQWXkFBneX34w/3+cDmc8/lPjip0fBFM5MmGS9sadqUaNkyvly3atXcnx86
  1HgvjYMH+d4olvLx9o/p7U1vm3xv1alVFBEfQStOrqCoxChKzUileYfn5SoTHB1MWy/wtc6nb54m
  +IOOXD9C3xz6hpy/dKa3NrxFWy5soX5/9CP3Ge707K/PUoWvKlDNb2vSrku7aOLuiaSZpKGN5zbS
  2rN8DXpsSiwpf0X7w/abbNe+sH0UeI2vOb+TcoeWHl1a4PwlpSfR+1vfp/e2vEfX46/Tz8d+puik
  /Odjpmem03eHv8s17sLtC/RX8F8F1l2Y4Ohggj9o8/nNBZZZcXIF2U+1p4S03Nedx6fG0+Iji4uc
  RnJ6Ms0PnE/xqfFU45sa1G5pO/r0n0/zlYM/CP4gu6l21HZJW8rI4vM0w+PCyXW6K3Vd3pU8ZnpQ
  kwVNiIhIp9PRvMPz6I/Tf9D5W8arm7Ze2Epnogq+k1JSehJZTbaiA1cP5HsvIS2Bfjz6IyWkJdCS
  I3wXqKCIINpzZU+R81kcNxNvEvxBSenFu3k2/EF1v6tbdEHi7+PHowXcwa2EPtz2IcEftPToUqr7
  XV365tA3ud4/G3WW4A/6ZOcnhnHbLm6js1F8p6xF/y2ilIzindvoOdOTrCdbU3xqPLnNcKMdoTvI
  4QsHcprmRNpJWmq3tF2pnGL4QMjIk1zpdNwPXr48nyaovyjD0xM4eTL/BQfu7sYulbZtS6fNBYlK
  jsLt5PxHGokIA9YOQHOv5khIS0BqZirc7d0xcstIDGg8AO4OPAM/H/8ZRyOP4pnaz+BA+AFolRYT
  AyYasrrT0afxw9EfAABr+q3Bi6tfxMLuCxGXFoeVp1dib9he9GvYD/1W94Ot1hbd63THofBDIBAO
  hh9E0PUgjGg5ArZWfA7X/MD5+OfyP4hKioKvpy+SMpKw+uxqDGo6CIERgciiLFhprBCXGoeLMRdR
  r0I9bAvdhlaVW6Hzss4IuRWCr576Cm72buhZvyc2X9iMp2o+heM3jmPUllEY7DsYzrZ8LuWsg7Pw
  0/GfcOStI2hQoQG++fcbjHp8FGy0Nlhzdg18PX1Rx9141PZizEXMOjgLDtYOICJ4lPPAqjOrEBgR
  CI9yHhjRakSuZXzg6gGkZ6VjXuA8VHaqjMG+gwEA20K34c2Nb8Ld3h29G/Q2+b0dizyGxUcX4/v/
  vse8wHnoVL0TnqvzHN7d+i5iUmLw+ROfw8vJC0QEJxsnTPKbhI7VOmLcznHosbIHWni1QLuq7dDc
  qzneav4WXlz9IqKTonEn9Q4uxV7CyC0jAQBvNn8Tz9V5Dg0qNMCH2z9EmyptoFVajGg1ApEJkfBy
  8sJjlfgKk6CIIGTqMnE66jTaVW2Xq72BEYH4eOfHqOBQAWN2jMH/mv8PPx37CaeiTmF219lIyki6
  qy6FladWooNPB1R1qQoACI8LBwBEJ0WjWvlqBX5u84XNqOnKB5tMZb2mHAw/iCEbhsDT0RN2VnZw
  sHZAmyptit1WvaVHl+L5us/D09F4xVBkYiQaezTG7iu7cf72eRwIP4DRbUYb3t95aScqOlTEyZsn
  DeOm7ZuG6ORoBLwWgGGbhmHV6VUY2XokMnWZ6N+oPwAgKikKm85vwpBmQwAAM/bPwM2km/D19MXJ
  mycRkxKDZSeWoX6F+qjmUg060qF7ne44iIMFtv+hCuK3b/PVlP7+fMUhwFdF7tnDr0ePBj75hLta
  EhLyn3+dM4jfT18f+hojWo6AvbV9rvE3Em/gr5C/MLzlcEQlRZncVTt/+zw8y3nibPRZZOmycODq
  AaRmpUKrtHhl3Sto7d0atd1q45cTv0CBj4McDD+I4S2HY37QfGiVFr6VfHE66jScbZ3xU8+f0Lt+
  b+x9fS86+HTA1birqD+/PrwcvTCr6yz8ceYPlLcrj75/9MXNpJuo614Xy08ux6moU2hXtR1ae7dG
  pi4TH2z/AFm6LGRRFjwdPfFXyF9QUHh9/euITYlFamYqbLQ2+O/6f4hJicGQZkPQo24PTOk8Bb+f
  /h1xaXHwD/BHdHI0tBotxv8zHsNbDkdobCgA4NN/PsWox0ehinMVrA1ei4/bfYzX/noNs7vOxkc7
  PkJyRjI+feJT9FvdDyNajsCC7gtwOfYytodux+Kji9HRpyMuxFzA7su78edLf2LA2gHIyMqAq70r
  3B3cEZ8Wj6HNh2J9yHqsC1mH6U9Nx5gdYwAAg30H48DVA5i6dyqaVWqGafunISIhAiNbj8z3/Xy6
  61NsubgFUzpNQRXnKnix4YuIiI/A9YTrOBJ5BCO3jMRLjV5ClxpdoFEavNfmPSilsLLvSqw/tx5f
  7v8SwbeC0dijMdr7tAcA1HGvg3c2vwMnGye83fJtPFXzKbyx/g0sProYnap3wpnoMwi5FYIsykIl
  x0qYvHcy/Kr7Yfdru/Hd4e9wI/EGHG0cMX3/dNRxq4NONToZ2hsaE4pbybew5eIWxKbGIjYlFqej
  T2P/1f34fPfn8CjnAY3SIDYlFj3r9wTAB+KuJ1zHC/X4MNjpqNMIuRWCFxu+iM92f4ax7cfCSmOF
  p2o+hfB4DuKRiZFYfnI5Pu34KVT2BQMht0Jw8uZJ9G/UH4uPLsYTPk/AzsoOien5Li8BAMw8MBPv
  tH4HDtZ8onVUEj+bbUHQAvx94W/Uc6+HkJEhJj+bU2J6IhYELYCdlR1stDYY8fcIfNH5C4zvON5Q
  JjIhEl1rdsXX/36Nuu51Dd0dALDi5ApsC92Gwb6D8eOxH0FEmLRnEk5FncJjlR7D6+tfh7eTNzpV
  74S+f/Alpe2rtse20G3IyMrA8L+Hw9vJG7XdamPcP+MM3/GB8AMAgOUnl2Nkq5H4uP3H0CgNvJ29
  8RbeKnB+Hrog3qoVnz2iFJCSwkFcf1ZK3bp8YY/+BJm8l+pWrQpUqXL30w27E4Zdl3fhjWZvFFk2
  IS0BY3aMwZPVnkSLyi2w8dxGuNq7ooNPBwz+czB2XNqBIc2GICopyvADyOlA+AF0rtEZx28cx/nb
  53HwGq9c7X14JTkTfQY3E28iQ5cBB2sH3E6+jeM3jmNJjyXYfWU3Xm3yKnrW74mBawfiZuJN9GnA
  5zV1rNYRAFCtfDU092qOJ6s9iSrOVXDkrSNwtnXG/qv7DdPpurwrAN4Yvd/mfbjYuSA9Kx0KCntf
  34s2VdqQkYJPAAAgAElEQVTg+I3j+GjHR4a+ZVutLTRKg5TMFFhprLD02FJsHLgRVhorvNL0FehI
  By9HL6wLWYdtodsQnRyNVadXIS4tDh18OmBe0DwcCD+A1t6t8UytZzC502R8/9/3mHt4Lvo06IPV
  Z1cbskwrDa/W84PmY/ah2ehWuxu+fuZrJGUk4WLMRfh6+sJKY4UWXi3Qvmp7TAyYiOSMZITGhGLJ
  sSWY+fRMDPYdjPZV26Prr10RlRSFCQETcOLmCWx+eTNeWvMSRm8djciESLzf9n1UcDBew33lzhUs
  eWEJBvkOgo2Wr3iq614XgUN5b6Tt0rbYdXkXZnedjVputQwBrWK5ihjafCgi4iPgv8cfi19YjEqO
  lXBwyEGUsymH8f+Mx+YLm3F6xGl4O3vDydYJWy9uxZx/56CDTwfsv7ofHX06YsvFLQB4j+3jHR9j
  5sGZsNHaYFTrUZh9aDYGrh2IE8NPGLJO/UZy2Yll0CotLsZcxOmo03iuznP4+8LfaOrZFAPWDEBa
  VhpOVD6BKs5V8NPxn7AnbA+qOFfB+dvncTjiMOYHzYeLrQsuxV7C0mNLERgRiK+e+gp2VnYAgHXB
  6zDz4EykZqaiXdV2CI0JxeKji6HVaNG/UX9cT7iOyMRIVHSoiPD4cHx96Gt80PYDrA9ZDwLhdNRp
  fL77c1R1qYqwO2Fws3fD1tCtGNZiGFae5hPh6lWoh80XNsPeyj7Xhiqvv0L+wtidY2FvZY+UzBRM
  9puMX0/+CjsrOzxf93nUda+LyMRIfFzrY3z979eY9fQsvLj6RSSlJ2HWwVmYHzQf0cnRGNp8KH45
  8QvO3T6HSXsmwd3eHd92+xZNvm+CHvV64PMnP0enGp3Qa1Uv/HjsRyw8shBdanTBgMYD8L8N/0Pf
  Bn3xxmNv4IO2H+DXk79i39V9hja+1eItw95MUR6aIJ6ZyUHc3Z0PSlaowE/PnjuX39dojEG7QgUe
  zpuJ9+/PV18WZsXJFXis0mNo5GG8mceuy7swN3AuOtfojL8v/I23W72d6zOT90zGmHZjYG9tj8MR
  h6EjHcLjw+Ht7I0eq3qgfdX22PfGPgRGBKKKcxUcjTyKqKQoxKTEoNeqXni16at4sSE37MDVA2hf
  tT0ydZlwtXfF0cijICLsGrwLaVlp+D7oewReD8S33b7F8E3DcejaIZy/fR4NKzbEmn5rUNWlKhxt
  HDGw8UD8c/kfk/P4W5/fDN0yzbyaAQBqudUyvL/7td34/r/vMePADFyKvYT0rHS42LqggkMFw8ag
  lXcr/PHiH1h/bj3G/zMe217dBh3p0HNVT8zqOgvWGmt0rdXVUKdGaQxdFH3+6IM+DfrgyPUjyNJl
  oWe9ntAoDRxtHLHp/CacGnEKSik09miMv0L+QuCbgfD72Q/DNg3DoKaDEBobioX/LcSPx37Euv7r
  4FfdD0opONo4GroY2ldtD19PX9Ryq4WQW5y9zQuah92v7UbLynzjjLZV28LX0xe9VvVCOZtymPDE
  BO6eGnIAX+7/EtP2T0PI7RC82OBFXI27CqUUrsVfw2uPvWbYkAB8elgr71YgIhx96yiORh7F23+/
  bchscxrTfgwaVGyAbrW7GdoAAKteXIWrcVcNZxQ9VfMpVHKshNmHZuN139cRGBGIwb6D8ebGN1G/
  Qn3sCduDPWF7UNW5KtKy0jCtyzS8/tjr+O3Ub+iyrAsaeTRCv4b9MOffOQCApIwkdK/THTsu7YCC
  wujHR2Nb6DacvHkST1Z7EhXLVcSM/TPQuUZnHAg/gPO3z+PD7R/iQPgBVHKshIGNB6L3773hYuuC
  wIhA1HStiU0XNuHEDX7y8XeB38FGa4Mv9n0BF1sXxKXF4dnazyLgSgAydZmITIhEZGIkkjKSsKrv
  Koz7ZxyaVWqGOf/OwfEbxxGXFgcbrQ2m75+OEzeNT1Oe9fQs7Bi0A0ERQZjz7xwMXDsQzb2a5wri
  k/dMRmpmKqZ1mYZtF7dhwu4J+Lrr1+hZvydiUmLQwqsFAsICMGH3BKw+uxqH/ncIkQmRaO3dGseH
  HYdvJV9UcqyEHZd2wH+Pv2HjXMu1Fmq51sLuy7sBAI09GqNhxYZwsXVBLVf+vXTw6YD2Pu2x5NgS
  XE+4juUnl+P0iNP4weEHLD22FCeGn0AtN65n0ZFFeL7u8/iyy5do7NHY5G/TpII6y+/HH+7jgU39
  wUydju/X8V32sbDVq3l83765n87h6Wkso7f3yl6aeWAmERHNOjDL5MGiJ396kmYfnJ1r3Pid48lx
  miP9fOxn8prlRboc973U6XRkM8WGDoUfovE7x9N7W94j+IOeXvY0vb3pbao9tzZV/6Y63Uq6RS5f
  utDbm96myQGTyW6qHcEf1HV5V3Kf4U7v/P0OZWZlUv159elY5DGaHDCZ/rf+f9T0+6bkPdvbML3E
  tES6Fse3oltxcgV5zvSk2nPzP/kgMS2RLt42cdu8Ytp8fjN5zvQ0tPPVda/S6Zun85XL0mXRyRvG
  2+qdunmKMrNMPAsr24XbFwj+oH1h++jj7R9T71W96U7KHboSe4XupNyhSzGXDGXf+fsdcv7SmTKz
  MunJn56kl9e+TKdvniaXL12o0qxKtOvSrgKnE3YnjGKSY+jg1YOGA4ydf+mcr1znXzoT/EHaSdpc
  B3SjEqPol+O/GN6DP8hpmpPJg4d56XQ62n5xe4mWPxFRWmYaWU+2pgu3L9CJGyfoevx1gj9o2t5p
  BH/QhF0T6FbSrVzTSc9Mp43nNtLjix83zLd2kpYcpznSuB3jyGaKDU3cPZGydFl0PPI42U21o/E7
  x5P/bn9S/opa/tCSyn1RjkZtHkXwBw1dP5SsJ1tTUnoSbb+4nfaF7SPlr+jXE78a6ned7krwBw3b
  OMww7uPtH1N8ajzV/LYmBUcHk/Vka+r0cyfSTtJSRlYGfb7rc/pk5ydkP9We4A+ynWJLH237iBrM
  a0BvbXiLvv33W4I/aMVJvkf01TtXCf6gZ399llynu9LF2xfp038+pfC4cLKZYkM2U2zoVtIt8pjp
  QcuOL8u3DsYkx9Dl2MvkNsONTt08RXZT7XL9jh9f/Di9svYVemn1S/Rv+L+kmaShxLREemXtK9R/
  dX/q+GNHw8HmZ399luYHzjd8dtF/iwzz7T7DnXQ6HaVmpBoOghIR7bq0i+APGr7R9L2AUdL7iZvr
  734EcZ2Ob0da0I3mAwP5Fo957yfs68sBPik9id7d/C7NOTSHGsxrQPAH7b68m5S/orc3vU0LAhfQ
  ryd+pWeWP0P7wvZRla+r0IhNxgfuLTmyhHzm+ORaSS/FXKLfTv5Ga86sodvJtwn+oLn/ziXNJA1p
  JmnouRXPGb7UsTvGktsMN/or+C9qvqg5nY06S24z3KjcF+XocuxlysjKoFM3T1HHHzvSu5vfNQSt
  2JRYikyIpJfXvkxP/GT6npk6nY76/dGPeq/qbc5FTkREGVkZdO7WObpw+wLdTLxJd1LMd1clfdC5
  k3LHsEEyZWHQQuq6vCsREV2Lu0bJ6cmUnJ5M2knaYp+9oj97ourXVenzXZ/ne/9W0i164bcXCP6g
  0JjcDx3V6XR0NuosVfyqItWeW5v6r+6f7/P3W3C08d4JOp2OHKc50tmos+T8pTOdunmqwM9N2TOF
  4A/adWkXRSdFU1RiFEUlRtG2i9sMZ8kQETVe0Jg2n99Ma86sMayzL/z2AgVFBJHtFFtKyUihC7cv
  5Kr7bNRZikqMIs0kDR28etBwpkd8ajz9fvp3gj8MG8Req3pR80XNCf4gr1le5PylMxER/XzsZ6r3
  XT2q9109sp9qTztDd1JsSizdSLhBd1LuUGRCpKH9RLw+aidpadaBWTRj/wzymOlB8Af1X92fmixo
  QhW/qkj+u/2p3x/9Cl2e3Vd0p2pzqtHoLaNzje+1qhc5f+lsOONKv9wn7JpAFb+qSEPXGx+MGx4X
  nuvMpuikaLKabEWHrx2m+FTTd7hKy0wj+IPe2vCWyfcLC+Jlvjtlyxa+hBwABg82jr+ReAOjtozC
  T8+uxjvv5L/5klf/abCp/gw2nQ/F3MC58CjngZSMFADA4qOL8V6b97Di1AoEXQ9CYnoirDRW6PtH
  X0QlRRn6EQHeBb8adxW2WltsC90GW60tBq4diHO3z+FO6h30rs9dBGuC+Zzryk6VMbDxQGy+sBkA
  0NSzKZpVaoZ1IetQ2602GlRsgAlPTMD8oPmoXr46AN5NW9Z7GZp+3xQftfsIWo3WcOFIU4+msLfK
  fYBUTymFX3r9goT0hBItY1OsNFao617X7PUCxq4bFzsXuNgVfLemQb6DDAfXcl64dGn0Jfi4+BRr
  WhUdKsLF1gVr+69FvQr57/nq7uCOFl4tsPH8Rng55r5Xq1IKDSo2wLFhx+Bi54JMXenffTnnVX5K
  KRwfdhy13Grh6FtHc3WB5dXRpyOqOFcxdDXp5eziAoANAzagWvlqCI0JhZONEyo7VcaAxgPQsnJL
  nH77NOys7FDbrXauzzSo2AAAcG7kOdR2q42N5zcCAJxsnfBcnedgrbE2dEfO7TYX9efzPEQmRqKa
  C5/BUsutFs7dPodhLYZhTLsx+ebFmZxR0aEiqjjzQSwrjRWqulRFe5/2aO3dGo97P46opCj0X9Mf
  I1qOwLEbx/Dt4W+xtMfSQpdnB58OCI0NxZddvsw1vrJjZcSnxaN9VT7YrF/utd1qIzo5Otf6pm+T
  XgWHCgh+JzjfcsrJRmuDmI9jcnXDFVtB0f1+/MFEqhwfz7cpvRchIfwEGYCfOq238dxGQ1at0+lo
  1alV9MnOT2jwn4MpJSOFYlNiyX6qPTWY14B6repFmkkagj8M/+EPupFwg7xmeZHVZCvDLqrbDDeC
  P6jWt7W47anx5PCFA8Ef9MzyZwj+oHVn11H9efXJarIVzTs8j+APspliY8gKbibepINXD1LtubWp
  wlcV6NTNUzR6y2hym+FmOOdUp9PRjYT8TyIIjwvPtxuYmJZIt5IseEL7QyDsTgFPks62/MRyKj+9
  fCm1pnTodLoi5zuvsDthdPXOVcrSZRVdOIeUjBS6mXgzVz05jd4y2vC785rlRURk6BpadnxZoe3J
  O6zLs8sdFBFEt5Ju0StrXyGnaU5FnrudkpFCt5Nv5xs/Zc8UQ1dITvGp8QR/5Oo+uR9QSCZu8Ss2
  d+zgU//uxcKFfBvW5s1zXw6/IGgBgm/xOYaBEYF4Z/M7WHRkEXaE7sDkPZPh97Mfnq3zLJRS2Hpx
  q+GgoY50AIDe9XvD09ETjT0aG7IrHxcfDGzM9/26Fn8N7299H9tDt6OFVwtEfBCBqZ2nAuCzN1pV
  boVMXSYG+w6Go42jIRv3cvSCRzkPtKnSBntf34sTw0+gsUdjNPZojJiUGDxd82kAnFHlPGdVr4pz
  FWg1ue/7Ws6mnOEgpLg3RWXt9SvUR1Xn4p0pUFYopYq9t6Ln4+KDqi5VoVF3FzbsrOzgUc74ZIa8
  053ddTZufHgDvev3RkwK35GukmMllLcrjw4+HQptT95hlWeXu2XllnB3cEc993ro06CP4WyZwtrq
  Zu9mclodfDrkq9/J1gmxY2PxVouCTwG87wqK7vfjDzky8WvX+ADk7Nn8IAO9r78mWnB4MW0IMfEE
  W+KDkfpHH/XqxY9nGjWKb6qu12ZJG1ofsp58v/clnzk+NPPATLqdfJvWnFlD3rO9qf68+pSQlkBf
  7P2C+vzehxYELjBky2vOrDFkGu9vfd+QIey5socysjLodvJtOn/rPDWc35AcpznSjtAdhunGpvDT
  HKbvm06eMz2JiA+IfLTtI0pKT6LUjBxPrM0hKCKIvGd7F3rAT1iOTqejqMQoSzfjoafT6SguNc4w
  bM5lnpSelO8K3LuRlplm+H1bAh7EPvGAAL7RVLduwK1b/CgyAPjwQ+Cp7/9Bpt1NzDgwA3te32PI
  PjMzgY8+4istn3oKuHKFTyccM8Z47jcR4UzUGXTw6QAfFx+cvHkSb7V4C862zqjtVhsRCRHoU6UP
  HG0cMa7DOKRlpsFKYwUnWycM+nMQarrWNGQazSo1QwuvFjgSeQQ+Lj6w0ljBzd4NbvZuOPS/Q4hN
  ic11FZq+n7qZVzNDv2CzSs1QvXx1wwUKprTwaoFTI07ly7LFg0EphYrlKlq6GQ89pZThqlwAZl3m
  hf3+isNGa2M4tfBBY7EgfuUKcOGC8VmRYWF8FSUREBYTifPpfJll5w+WYfX4NzBmDJ8HnvbCS9h3
  7BtUaHwTJzu+jFcOAn/0XwnfSnzT76txV+Fk6wQ3ezdUda6KJp5NDCuG/rLe2q58gEGjNIarJvXv
  5bxw4+UmL+P5us+j1txaqOxUOVf7nW2dc61wOT1d82m0rcLn987pNgdaVXhwVkrB1d61WMtNCCFy
  slifeFgYB+ydO/mBuGFh/KBhKysgKjkSANCoQhPsDTmNdz9KwApPbxw4ewlouAZ7Q//DosM/Qece
  jPOxwfjlxC+Gek9HnTacKF/XvS46VTee9O9k6wSPch4mj9rr++xy9i9rNVq42rsi4oOIu9oKK6Xg
  ZMtP7rWzsoO11kLP4RJCPPQslomHhfFzLMPDgeefB154wXgf8J+yrgOpnrh+5BVo6izH7+V+BOzv
  oM7ARQjS6LAn+DSOu/8DZMfVtcFrceLmCXz37HccxCtyEB/1+CjDwUq9Jh5NTF4NVcmxEqo4VzG5
  25X3HidCCPGgKNaTfcw2sRxP9qlXD1i3ju9nYmXFD+UFgAyVCI+ZHoh6LwE1nvgXt3p0wIsN+uPx
  Kq0wde9UpGamoq6tH07FHIIr1UG9OtZoWKEh/gz5E8NaDMO1hGvoUqMLXn/sdZNt0JGuwKPrhb0n
  hBCWUtiTfSwWsSIj+fmV1tZ8IY6tLf/pb6PpWE6Ld17lDvOWlZujS40uiEuLw8tNXsap5G1AdCP4
  lKuHWq61sKTHEux9Yy/mBs7FylMr0dyreYHTLSxISwAXQpQ1FotaaWmAnR1w+Nph9FvdzzD+8SWP
  G65U/Gy0FzRKg8YejdHMqxnSP0vH0h5L0bl6F2ivdkIr75Zo4dXCcDOkuHFxSPk0BU09m1poroQQ
  onRZpE+ciLtPrK2BM9FncPjaYQBAfFo80rPSsXPQTm6cxgrtq7Y3ZNb6A4T/vLYT0yOB4X34gQ96
  93TJqhBClGEWiXpZWfwUea2Wn/xxLf4adoTuwOC/BqOma81cV0XtfWOvyTrGjSut1gohxIPLIt0p
  6emAlTUhLTMNV+OugkBYemwpbiTeKPSmPUIIIXKzSCaekQFoGq3DCysXAeCnvvx+5ndYaawMN1MX
  QghRtGJl4kqpbkqpEKXUeaXUWBPvf6SUOqaUOqqUOqWUylRKlTdVF8CZeGbDX3E08iiuxl3FS41f
  Qv0K9TGu/Th09OlYkvkRQohHSpHniSulNADOA+gC4DqAIAADiMjkE0mVUs8DeI+InjLxHhERrl8H
  qswrD7tyfHJ49JholLMpV7I5EUKIh1Rh54kXpzulNYALRBSWXdkqAD0BFPRY6YEAVhZWYXo6QFYp
  8K3UHBUcKkgAF0KIe1ScIO4NIOdj16+BA3s+Sil7AN0AvFNYhWlpBGjT8WqTVwt92oUQQojCmfvA
  5gsA9hPRnYIK+Pv748bNLOCsQqMnG8GvtZ+ZmyCEEGVbQEAAAgICilW2OH3ibQD4E1G37OFx4BuU
  zzBRdh2AP4hoVQF1ERHhYFASOmyoCN2U5GI1UgghHmUlvXdKEIDaSqlqSikbAAMAbDAxERcATwJY
  X1SFyenp0NCDeYN1IYQoS4rsTiGiLKXUSADbwUF/KREFK6WG8dv0Q3bRXgC2EVFKUXUmp6ZDSRAX
  QogSK1afOBFtBVAvz7hFeYZ/AfALiiFFMnEhhDALi1x2n5yeDq0EcSGEKDGLBPHUjAzJxIUQwgws
  EsRT0tKhhQRxIYQoKcsE8QwJ4kIIYQ4WCeJpEsSFEMIsLJOJp6dDq6wtMWkhhHioWCYTz0yHlZJM
  XAghSspCZ6dIEBdCCHOwzOPZsiSICyGEOVgsE7eWIC6EECVmkSCekZUBa40EcSGEKCmLHdiUIC6E
  ECVX6kF8/37g763psNZKEBdCiJIq9SAeGAhAmw4bCeJCCFFipR7Ea9YEoE2HLkMu9hFCiJIq9SCu
  FABtOu7clkxcCCFKqtSDuE4HQJuOhvUkiAshRElZJIjXbZiOx5pIEBdCiJKySBAnlSEHNoUQwgxK
  PYgTAaSRs1OEEMIcLJOJSxAXQgizsEgQz9KkShAXQggzsEh3SoY2Fq52rqU9aSGEeOgUK4grpbop
  pUKUUueVUmMLKOOnlDqmlDqtlNpdUF06HZCuvY0KDhXutc1CCCGyWRVVQCmlATAPQBcA1wEEKaXW
  E1FIjjIuAOYD6EpEEUqpAiO0TgekaW9JEBdCCDMoTibeGsAFIgojogwAqwD0zFPmZQBriSgCAIjo
  VkGVcRC/DXcH93ttsxBCiGzFCeLeAMJzDF/LHpdTXQBuSqndSqkgpdSggirL0umQromFm73b3bdW
  CCFELkV2p9xFPc0BdAZQDsAhpdQhIrqYt+Cavz6BirfCVEyFn58f/Pz8zNQEIYR4OAQEBCAgIKBY
  ZRURFV5AqTYA/ImoW/bwOABERDNylBkLwI6IJmUPLwGwhYjW5qmLJs8/h1nXuyNu6oW7mCUhhHh0
  KaVARMrUe8XpTgkCUFspVU0pZQNgAIANecqsB9BBKaVVSjkAeBxAsKnKErNuw47koKYQQphDkd0p
  RJSllBoJYDs46C8lomCl1DB+m34gohCl1DYAJwFkAfiBiM6aqi8p6w5sqbwZZ0EIIR5dxeoTJ6Kt
  AOrlGbcoz/AsALOKqiuTsqAxW1e8EEI82ixwxaYOyjLPZxZCiIdOqUfTLJ0OGiVBXAghzKH0b4BF
  OiiYPMgqhBDiLlkkE5fuFCGEMA+LZOLSnSKEEOZhoe4UCeJCCGEOFgjiJJm4EEKYiWTiQghRhkmf
  uBBClGEWeMamBHEhhDAX6U4RQogyrPSDOCQTF0IIc7FId4qSIC6EEGZR+ldskg4a6U4RQgizKP27
  GEp3ihBCmI10pwghRBlmmfPEpTtFCCHMQs5OEUKIMkyu2BRCiDJMgrgQQpRhcsWmEEKUYRZ5ULJG
  yePZhBDCHCzTnaKRTFwIIcyhWNFUKdVNKRWilDqvlBpr4v0nlVJ3lFJHs/8+K6guHeQUQyGEMBer
  ogoovjJnHoAuAK4DCFJKrSeikDxF9xJRj6LqIzmwKYQQZlOcaNoawAUiCiOiDACrAPQ0Ua5YHd1y
  dooQQphPcaKpN4DwHMPXssfl1VYpdVwp9bdSqmFBlekgfeJCCGEuRXanFNMRAD5ElKyUehbAXwDq
  mioYcWA3Ep208E8g+Pn5wc/Pz0xNEEKIh0NAQAACAgKKVVYRUeEFlGoDwJ+IumUPjwNARDSjkM9c
  BtCCiGLyjCffD8ajRhUH/Pn+p8VqoBBCPOqUUiAik13WxenXCAJQWylVTSllA2AAgA15JuCZ43Vr
  8MYhBiZIn7gQQphPkd0pRJSllBoJYDs46C8lomCl1DB+m34A8KJSagSADAApAF4quD4J4kIIYS7F
  6hMnoq0A6uUZtyjH6/kA5herLpAEcSGEMBOLXLGplSAuhBBmYZH7icuTfYQQwjwscgMsycSFEMI8
  LPOgZLnYRwghzEL6xIUQogyzTCYuQVwIIcxCulOEEKIMk+4UIYQow6Q7RQghyjALdafIMzaFEMIc
  JBMXQogyzDJ94nJgUwghzEIycSGEKMMsEsQlExdCCPOQ88SFEKIMs0wmLt0pQghhFtInLoQQZZj0
  iQshRBkmmbgQQpRhFnmyj2TiQghhHhaIphLEhRDCXKRPXAghyjDpExdCiDKsWNFUKdVNKRWilDqv
  lBpbSLlWSqkMpVSfgspIJi6EEOZTZDRVSmkAzAPwDIBGAAYqpeoXUG46gG2F1UcgaLUSxIUQwhyK
  E01bA7hARGFElAFgFYCeJsqNArAGQFRhlckVm0IIYT7FiabeAMJzDF/LHmeglKoMoBcRfQ+giCc+
  SHeKEEKYi5WZ6vkGQM6+8gIDeVrgJWyK/wURBwLg5+cHPz8/MzVBCCEeDgEBAQgICChWWUVEhRdQ
  qg0AfyLqlj08DgAR0YwcZS7pXwKoACAJwFtEtCFPXeQwsgPm95mG1zt1LObsCCHEo00pBSIymRwX
  JxMPAlBbKVUNQCSAAQAG5ixARDVzTOwnABvzBnBDWekTF0IIsykyiBNRllJqJIDt4D70pUQUrJQa
  xm/TD3k/UniNOjk7RQghzKRYfeJEtBVAvTzjFhVQdkihdcmBTSGEMJvSv2JTSXeKEEKYi2VugCXd
  KUIIYRaWycSlO0UIIcxCnrEphBBlmHSnCCFEGWaR7hQr6U4RQgizkExcCCHKMDnFUAghyrDSj6ZK
  MnEhhDAXi5ydIn3iQghhHhbJxDUSxIUQwiwscmAzbyZevXp1KKUeir/q1auX/iIVQjyyzPVQiGIj
  pYNVnj7xsLAwFHVf87JCqSIebCSEEGYkBzaFEKIMs8x54tInLoQQZmGRTFzOThFCCPOwyMU+Go30
  GwshhDlYICUm2FhLJi6EEOZgke4UO9uyFcRjY2PRu3dvODo6okaNGli5cqWlmySEEAAscIohyuBD
  Id5++23Y2dkhOjoaR48eRffu3fHYY4+hQYMGlm6aEOIRZ5krNsvQDbCSk5Oxbt06TJ06Ffb29mjf
  vj169uyJ5cuXW7ppQghR+kFcacpWED9//jysra1Rq1YtwzhfX1+cOXPGgq0SQghW+ldsatNgo7W5
  68+Z40LIe7koNDExEc7OzrnGOTs7IyEhoeQNEkKIEipWSqyU6qaUClFKnVdKjTXxfg+l1Aml1DGl
  1H9Kqc4F1kXaewriRCX/uxeOjo6Ij4/PNS4uLg5OTk73VqEQQphRkUFcKaUBMA/AMwAaARiolKqf
  p+zIZcUAAAc4SURBVNhOIvIlomYA3gDwQ4ETzCxbwa9u3brIzMxEaGioYdyJEyfQqFEjC7ZKCCFY
  cTLx1gAuEFEYEWUAWAWgZ84CRJScY9ARwK2CKtNmOhf01gPJwcEBffr0wYQJE5CcnIz9+/dj48aN
  GDRokKWbJoQQxQri3gDCcwxfyx6Xi1Kql1IqGMBmAO8WVJlVVtnKxAFg/vz5SE5OhoeHB1599VUs
  XLhQTi8UQjwQzHZgk4j+AvCXUqoDgOUA6pkql3UgFv7+/gAAPz8/+Pn5masJ942rqyv+/PNPSzdD
  CPGICAgIQEBAQLHKqqLu462UagPAn4i6ZQ+PA0BENKOQz4QCaE1Et/OMp4qjn0PUN3/nLf9Q3U/8
  YZkXIcSDITuumDxHrzjdKUEAaiulqimlbAAMALAhzwRq5XjdHADyBnA9G5StPnEhhHiQFdmdQkRZ
  SqmRALaDg/5SIgpWSg3jt+kHAH2VUoMBpANIAvBSQfXZouz1iQshxIOqWH3iRLQVefq4iWhRjtdf
  AfiqOHXZKcnEhRDCXEr9+nd7jQRxIYQwl9IP4lrpThFCCHMp9SBeTiuZuBBCmEupB/Em2n6lPUkh
  hHholXoQd7aVTFwIIcyl1IO4nV1pT7Hk5s+fj1atWsHOzg5DhgyxdHOEEMKg1O8nbmtb2lMsOW9v
  b3z++efYtm0bUlJSLN0cIYQwkCBeDL169QIABAUFISIiwsKtEUIIo1LvTnF1Le0pCiHEw6vUM/F+
  93hyippU8uez0US5MZUQ4uFS6kH8Xp+VKQFYCCHyKzuPnRdCCJGPBPFiyMrKQmpqKrKyspCZmYm0
  tDRkZWVZullCCCFBvDimTp0KBwcHzJgxAytWrICDgwO++OILSzdLCCGKfrKPWSemFJma3sP0NJyH
  aV6EEA+Gkj7ZRwghxANKgrgQQpRhEsSFEKIMkyAuhBBlmARxIYQowySICyFEGVbql92bUq1aNah7
  vR7/AVOtWjVLN0EI8Qgp1nniSqluAL4BZ+5LiWhGnvdfBjA2ezABwAgiOmWiHpPniQshhChYic4T
  V0ppAMwD8AyARgAGKqXq5yl2CcATROQLYCqAxSVr8sMvICDA0k14YMiyMJJlkZssj6IVp0+8NYAL
  RBRGRBkAVgHombMAEf1LRHHZg/8C8DZvMx8+snIaybIwkmWRmyyPohUniHsDCM8xfA2FB+mhALaU
  pFFCCCGKx6wHNpVSnQC8AaCDOesVQghhWpEHNpVSbQD4E1G37OFxAMjEwc2mANYC6EZEoQXUJUc1
  hRDiHhR0YLM4mXgQgNpKqWoAIgEMADAwZwGllA84gA8qKIAX1gghhBD3psggTkRZSqmRALbDeIph
  sFJqGL9NPwD4HIAbgAWKT/jOIKLW97PhQgghSvl+4kIIIcyr1C67V0p1U0qFKKXOK6XGFv2Jsk0p
  tVQpdVMpdTLHOFel1Hal1Dml1DallEuO9z5RSl1QSgUrpbpaptX3h1KqilJql1LqjFLqlFLq3ezx
  j9zyUErZKqUOK6WOZS+PadnjH7llAfB1KEqpo0qpDdnDj+RyKBEiuu9/4I3FRQDVAFgDOA6gfmlM
  21J/4DN0HgNwMse4GQA+zn49FsD07NcNARwDd29Vz15WytLzYMZlUQnAY9mvHQGcA1D/EV4eDtn/
  teDrKto/wsvifQC/AtiQPfxILoeS/JVWJl7kBUMPGyLaDyA2z+ieAH7Jfv0LgF7Zr3sAWEVEmUR0
  BcAF8DJ7KBDRDSI6nv06EUAwgCp4dJdHcvZLW3CCE4tHcFkopaoAeA7AkhyjH7nlUFKlFcTv9oKh
  h5UHEd0EOLAB8Mgen3f5ROAhXT5KqergPZR/AXg+issjuwvhGIAbAAKI6CwezWUxB8AYADkPzD2K
  y6FE5Fa0lvX/du5YJY4oCuP4/wMRAhYqgaRIBCVtCsFuEUMgISBY20jyBmlSRN/CF7BZ0MZmV0gh
  IQ9godgkRcBCMKilnUU8FvdGJxYWyTLL9X4/WNg9DOzcj+Uww7mzVU2VJY0B28DHfEV+d/1V5BER
  VxExS7obmZf0isqykLQInOU7tPu2Hj/oHAahrSZ+Akw1Pj/LtdqcSXoCIOkpcJ7rJ8DzxnEPLh9J
  I6QG3o2IXi5XmwdARFwAX4A56suiAyxJOgK2gNeSusBpZTn8t7aa+M0DQ5JGSQ8M9Vv67mESf19l
  9IEP+f17oNeoL0salTQNvAD22jrJlmwA3yNivVGrLg9Jj//suJD0CHhDGthVlUVErEXEVETMkPrB
  t4hYAXaoKIeBaGuCCrwj7Ur4CXwe9kS3hfVuAr+AS+CY9J8yE8DXnMMuMN44fpU0cf8BvB32+Q84
  iw7wm7Qr6QDYz7+HydryAF7m9R8Ah8CnXK8ui8b6FrjdnVJtDv/68sM+ZmYF82DTzKxgbuJmZgVz
  EzczK5ibuJlZwdzEzcwK5iZuZlYwN3Ezs4K5iZuZFewaOehuF7lTQN4AAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f79605d8fd0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAJZCAYAAACTE4A9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3XucXVV9///XJwTkIoEoMiO5ITeFX6lQKljBMoiCgFyq
  fDHA1yAoeK3A1yrg12ps6yVaq9RroaipBSJ4A/0qN2FosQoIKAoBIpoLgQz3KIISyOf3x9pDzkzO
  kEkyWTPJeT155DH7rLP3Puus2cN5z1prr4nMRJIkSevWuNGugCRJUicwdEmSJFVg6JIkSarA0CVJ
  klSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2StIGIiN9GxKtqH/ss59w/Ihat4bHTImJ5RPg5pQ2GF7M0
  BkXEyyPiumZ7eUQsaf3wiYjxEXF/RDzdUnZNRJzUbO/fHPf5Qef974iY0WyfEBH/3ea1eyPi4YjY
  eFD5VyPiTxHxu+bf7yPillW8j/4Pzv5j7ouIL0TERi37DPiwj4juiDgnIhY3x/w6Ir4SEbusyTmb
  97k8Iv5uUN0WRcRfP0vdv9S8x9817/vJltf8fy37bRERj7WWtTw3PyL6ImKzlrK3RMQ1LY+XR8QO
  g477cER8/dnadj2yNitwu3q3NiiGLmkdiIhYy1McBvyg5fEjwCEtjw8BHl7FOf4AvCkipj7LPgM+
  1CJiGrA3cD9wRJv9Z2XmhObflpm55yrq0P8aW2XmBGB34K+Ad7XbMSKeB/wPsBmwb3PMXwDXAq9Z
  k3M2HgbeHxFbDKO+5QUy39G8xwnAx4A5Le/9sJZd3wAsBA6IiG0Hn4by/9nT2pS32x5qH0kbAEOX
  OlZEnBER9zQ9F3Mj4oCIGBcRH2h6V5ZGxI0RManZ/xURcUNEPBIR10fEX7Wc65qI+KeIuC4i/gC8
  KCImRMR5EXFv06vyj/1hLCJ2bHqUHm16rC4cVL1Dgdaek68DJ7Q8ngHMXsVbfBT4GjBzNZplBnAl
  8B/Am1fjuFUJgMx8sDn/bkPs93+ApZn5psyc3xzzu8ycnZlfWMNzAswFfgK8d43fwdBOAM4FrgP+
  d5vnPwW8NyImDHH8agX0iHh+RHyvuQ4fiohrB+2yZ0T8onn+wojYpOXY10XELc1z10XE7m3O/8KI
  eDwitm4p2zMiHujvTYyIkyLi9ub1f7iKYB8RcVZz/G8i4riWJw6NiJubn7UFEfHhZznJG5rjn+37
  LI1phi51pGao6l3AXk1PxsHAfMqH8huB12bmVsBJwOMRMRH4PvBZ4PnAZ4D/15T3+9/AW4EtKT0f
  s4E/ATsAe1J6at7a7PuPwOWZuTUwGfhcS926gW0z8xdNUQLfBf66CXJbA/sBl6zibSbwUeANEbHz
  MJtmBvAN4GLg4Ih4wTCPW5X+sLkdpa1/MsR+BwLfGeFzQmmLvwdOaw0Ta6vpGfxrSntdzMBg3O9n
  QC/wvhF62fcCiyjX4bbABwY9/7+Ag4AXAS+lCc8RsSdwHnAy8Dzg34BLY9AwcmbeR+ltfENL8bHA
  xZn5dEQcCZwJHAW8APhvYPAvDa26m9fbrqnLOS3X42PAm5qftcOAt0fESj2sEXEi8HHgwMy8/Vle
  SxrTDF3qVE8DmwB/FhHjM3NhZv4WeAvwfzPz1wCZ+cvMfITygXBXZl6Qmcszcw5wB3B4yzm/lpl3
  ZOZyyofMIcDpmfnHpjfms8D0Zt9lwLSImJSZT2bm/7Sc51DgskH1/SNwaXP8G5vtP63qTWbm/cCX
  gX9Y1b4RsR8wCbg0M+cBtwHHDdrtfVHmez3SfP3qqs5LCUcPRMQjlLDwGPCtIfbdBljSUqfDm9f6
  XUS0tsnqnBOAzLyV0iN2xjDqPFxvAm7MzHuAbwO7RsRL2+z3YeDdEfH8Ic5zc9OeDzfv6dnquAx4
  IfCizHw6M3886PmzM7MvMx8Fvgfs0ZSfDHw5M3+Wxdcp19DL27zGhQz83k8Hzm+23wZ8PDPvaq71
  TwB7RMSUIeqbwN9n5rLM/C9KD+4xAJn5X5l5W7P9K2AOsH/LsQGcTgma+zc/o9J6y9CljpSZd1Pm
  2cwE7o+ICyLihcAU4DdtDtkOWDCobAElpPRrvUtrGrAxcF/LB+mXKT0DUHo9xgE3RMQvm9/k+x3K
  wPlc/cNPX6f0RL2JMvw3XLMovVZ/vor9ZgBXZOZjzeN2PTefysznZebE5uuJrFoCz8/MicDmlF6U
  K4bY9yFKoCgHZn6vOe50Skhek3O2+hDwjjZzr9bUm4CLmro+ROnRWqm3qwkW3wfOGuI8ezbt+bzm
  Pc16ltf8JHA3cEUzDD44oPW1bD8OPLfZnkYZ5mwNd5Mp1/Zg3wJeHhFdEbE/0BrupgFn95+H8j1L
  Bv4stHokM//Y8nhB/2tGxD4RcXUzxP4oJdBtM+j4vwO+0PTASes1Q5c6VmbOycxXAv3zUWZRhgV3
  bLP7vcD2g8qmAotbT9myvYjSO/X8lpCydWb+efPa92fmKZk5CXg78MWI2CEixlN+07+yTX3/mxJI
  tm3Tu/Fs7/NhSi/bPzLE5OyI2JTS+/CqKHcD3kfpXXhpu3k/a6B//tWfKPPMXh5l0vxgP6IMW43k
  OZ+RmXdSeqT+L2s5Ub2Z07cz8MGWNvsr4Lhov8zBTEpvU7twMux5XZn5h8z8u8zckXKzw/+JiAOG
  cegi4KOt4S4zn5uZ32jzGo9SQux0ytDinJanFwJva3Oenw7xuhOj5e5Nys/Nvc32+ZSh80nNUPu/
  MbAtkjJU+vcR8fphvEdpTDN0qSNFxC5RJs5vAjwJPEEZcvx34J8iYqdmv92beVs/AHaOiOkRsVFE
  vBHYlTJ8s5LMXEL50PpMRGwZxQ7RLFEQEUdHM0GfMuF9efNvP+AXLb1Ng70OOLL1rQzzLX8GeEVT
  53b+Bniqef6lzb9dKZPDZwzzNYYSrJh/9ZzmfPc1YXCwf6F8SH89mmUUImJLVgyRrck5B/sH4ERg
  bed2vZnyPW5ts90pPW+HDN656V39BvCetXnRiDgsIvp/Mfg95fv29LMc0u9cypypvZvzbNFMZB/q
  js4LKe36BuCClvJ/Az7QP6E9IraKiKOfrcrARyJi44h4JWWo/qLmuedSesKWNfUaPJwdlGHu1wKf
  j4jDkdZjwwpdzZ0nt0XErRFxfkRsEhETI+KKiLgzIi6PiK0G7T8vyh1hB6276ktr7DmUuSgPUH7r
  fgFl6OczlA/GKyJiKSWEbdZ8mL+OMtTxYPP1sGa+F7TvNZlBGRK7nbJkwcWUScUALwOuj4jfUX7T
  f09zt97gpSIGnDsz52bm3HbPDVGH/uN+TxmWGqonaAbwlcxc3PTC3d/MB/s8cHxLz837Y+A6XfcP
  9ZqD6vVI817vA/Zh4HIUre/vIcocoz8C1zXH3Ez5cH7HmpxzpcqUdv46MOzlIwZrgt7RwL9m5gMt
  bTafMvTbP8Q4uB7/QAllw/q+tbzeryLi2ObhzsBVEfF74MeUobf/WtW5MvMmSk/b55thwbsYOBQ6
  +NhLm9e6LzN/2XKe71J+duY0Q4K3UkJRu7pC+f48Qvk5+zqll2xe89w7gX9sftY+SPnZG1Dt5jVv
  pcyfPCciDh7qPUpjXWQ++897lLtzrgFekplPRsQ3KB8KuwEPZeYnmzkFEzPzzOa3n/MpHyqTgauA
  nXNVLySJiLgNeENm3jHadZEkjazh9HT9jjL8skUz32QzyjyWI1mxTtBsVszDOIKyiOBTzW998yiL
  LUp6FlFu3Z9t4JKkDdMqQ1czfPJpyuTJxZSFC68CujKzr9lnCWW9GCiTRFvv4lrM0He1SGo0t9R/
  crTrsboi4rhY8edyWocef7nqo0dfRPxgUP37t88c7bpJ2rCMX9UOzWTW0ym3CS8FLo6I41l5/N/h
  Q6kDZeYFDJxovV7JzENHuw6SOsMqQxfwl8CP++8KiojvUO6C6ouIrszsi7KCdv+E2sWUtY76TWbg
  bfU05zGkSZKk9UZmrtXf1R3OnK47KevfbBoRQfkzHbdT7mx5c7PPCaz4kySXAtObOxxfBOwE3NDu
  xJnpv0H/PvzhD496HcbiP9vFdrFNbBfbxXYZzX8jYZU9XZn5i4j4D+AmylowtwDnUP6+3EURcRJl
  heH+P+twe0RcRAlmy4B35kjVVpIkaT01nOFFMvNTwKcGFT8MvHqI/T9O+eOkkiRJwhXpx5yenp7R
  rsKYZLu0Z7uszDZpz3Zpz3Zpz3ZZN1a5OOo6e+EIRx0lSdJ6ISLIChPpJUmStJYMXZIkSRUYuiRJ
  kiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRV
  YOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQ
  JUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuS
  JKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElS
  BYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoM
  XZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKxo92Bdrp7t6e
  vr4Fo12NMaeraxpLlswf7WpIUkeYOrWbRYv6RrsaY86UKV0sXLhktKuxXorMHJ0XjsihXjsigNGp
  19gWjNb3S5I6TURwzTWjXYux54AD6MjPooggM2NtzrHK4cWI2CUibomIm5uvSyPiPRExMSKuiIg7
  I+LyiNiq5ZizImJeRMyNiIPWpoKSJEkbglWGrsy8KzP3zMy/APYC/gB8BzgTuCozXwxcDZwFEBG7
  AccAuwKHAF+M0nUlSZLUsVZ3Iv2rgbszcxFwJDC7KZ8NHNVsHwHMycynMnM+MA/YewTqKkmStN5a
  3dD1RuCCZrsrM/sAMnMJsG1TPglY1HLM4qZMkiSpYw07dEXExpRerIubosGz6DpvVp0kSdIwrc6S
  EYcAN2Xmg83jvojoysy+iOgG7m/KFwNTWo6b3JStZObMmc9s9/T00NPTsxrVkSRJWjd6e3vp7e0d
  0XMOe8mIiLgQuCwzZzePZwEPZ+asiDgDmJiZZzYT6c8H9qEMK14J7Dx4fQiXjFgTLhkhSbW4ZER7
  Lhmx5obV0xURm1Mm0Z/SUjwLuCgiTgIWUO5YJDNvj4iLgNuBZcA7h0xXkiRJHcLFUdcr9nRJUi32
  dLVnT9ea828vSpIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiow
  dEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiS
  JEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmS
  VIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkC
  Q5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYu
  SZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVMH40a7Aszn4YPjsZ2HcODjvPPjkJwc+
  /973wvHHQyZsvDHsuitssw1suy184xulPAJ22AH+/u/hc5+DCy+EXXYpx0+cCI88AnvtVf+9SZKG
  dtmvL+O0y05jeS7nLXu+hTP2O2PA8//8P//M+b88nyBYtnwZcx+Yy4Pvf5CtN92at1zyFr4/7/t0
  bdHFre+49ZljPnTNh7jkzksIgm0234avHfU1Jk+Y/Kz1uOEG+Pzny+fJoYfCsccOfH7pUvjYx+Ch
  h2D5cjjmGHjta+HJJ+HUU+Gpp2DZMth3Xzj55HLMHXfA2WeX58aPh9NOgxe/eESaTWNcZObovHBE
  DvXaEUFEctddcOCBcO+9cOONMH063Hln+/Mddli5cF/zmsHngnvugX32KV9bfepT8Oij8NGPjsAb
  qiIYre+XJNWyPJezy+d24UczfsR2W27Hy859GXOOnsNLtnlJ2/2/f9f3+exPP8tVM64C4LqF1/Hc
  TZ7LjO/MGBC6HnvyMZ67yXMB+Nz1n+MXfb/g34/49yHrERFstx18+tPlF/q3vx0+9CGYOnXFPrNn
  l4B18sklgM2YAd/+Nmy0Efzxj7DppvD00/C3fwvveAfsvjucfjocdxy87GVw/fUwZw585jMj0HCV
  HHAAHflZFBFkZqzNOcbs8OLee8O8ebBwYfltYM4cOPLIofc/9tjSizXYq18Nd9+9cuCC8htJu2Mk
  SaPnhsU3sPPzd2ba1tPYeKONmf5n07nkjkuG3P/CX13IsX+2ogtqv6n7MXHTiSvt1x+4AP6w7A9s
  s/k2q6zL5MnQ3V16pF71Kvjxjwc+P3EiPP542X78cZgwoQQuKIELSk9XJmy5ZXn8vOfBH/5Qth97
  rAQ6dYYxO7w4aRIsWrTi8T33lCDWzqablu7cd71r5efe+Mb2wWq//WDJEvjNb0amvpKkkbH4d4uZ
  MmHKM48nT5jMDYtvaLvvE8ue4LJfX8YXDv3CsM79was/yH/84j/YfOPNuf6t169y/xe8YOD23LkD
  n3/d68pUl6OPhieeKD1h/ZYvh7e9rYzWHH44bL99KT/llNLz9aUvlTD2+c8Pq+raAIzZnq7Vcfjh
  cN11pWu31fjxcMQRcPHFKx8zVM+YJGn98b27vsd+U/dj6023Htb+//Sqf2Lh6Qs5cY8TOe3y09b6
  9S+4AHbcEb75TTjnnDJX64knynPjxsG558JFF8Gtt8LPf17KP/UpeM97ytzjd71r5fnK2nCN2dC1
  ePHAcfPJk0tZO9Ontw9QhxwCN90EDz44sHzcOHj968sFL0kaWyZNmMTCpQufeXzP7+5h0paT2u47
  51dzBgwtDtdxux/Hz+792Sr3u//+FdsPPDCw5wvgV7+C/fdv6j2pDEUuXDhwny22gJe/HO66qzye
  O7eMtkA59o47Vrv6Wk+N2dB1442w004leG28cQlWl1668n4TJpSL9pI2w/1D9Wa95jXlor/vvpGv
  tyRp7bxsu5fx64d/zYJHF/Dk008y51dzOOLFR6y039I/LuXaBddy5ItXnvCbzX+tfv3wr5/Z/u4d
  32WP7j1WWZfFi8tUlGXL4Oqr4RWvGPj81Klw881l++GHy1SYF76wjLw89lgp/9OfSgfATjuVx5Mm
  rej1uumm0qmgzjAm717s7t6evr4FHHzwwZx99tmMGzeO8847j1mzZnHKKaeQmZx77rkAzJgxg4MP
  Ppjjjz9+wDk222wzFixYwA477MBj/Vd+4ytf+Qo/+clPnjnH+qKraxpLlswf7WpI0jp32a8v49TL
  Tn1myYgz9zuTf/vZvxERnLLXKQDM/vlsLr/7ci54wwUDjj3uW8fRO7+Xh554iK4tuvhIz0c4cc8T
  Ofqio7nrobvYaNxG7DBxB7502JfYdotth6zD1KndLFrUt07f5/poypQuFi5cMtrVqG4k7l4ck6FL
  kiRpLNmgl4yQJEnakAwrdEXEVhFxcUTMjYjbImKfiJgYEVdExJ0RcXlEbNWy/1kRMa/Z/6B1V31J
  kqT1w3B7us4GfpCZuwIvBe4AzgSuyswXA1cDZwFExG7AMcCuwCHAFyNirbrjJEmS1nerDF0RMQF4
  ZWZ+FSAzn8rMpcCRwOxmt9nAUc32EcCcZr/5wDxgiGVNJUmSOsNwerpeBDwYEV+NiJsj4pyI2Bzo
  ysw+gMxcAvTfAjIJaFlLnsVNmSRJUscazp8BGg/8BfCuzPxZRHyGMrQ4+NbD1b4VcebMmc9s9/T0
  0NPTs7qnkCRJGnG9vb309vaO6DlXuWRERHQBP8nMHZrH+1FC145AT2b2RUQ3cE1m7hoRZwKZmbOa
  /S8DPpyZ1w86r0tGSJKk9UKVJSOaIcRFEbFLU3QgcBtwKfDmpuwEoH9N+EuB6RGxSUS8CNgJaP+X
  SiVJkjrEcIYXAd4DnB8RGwO/AU4ENgIuioiTgAWUOxbJzNsj4iLgdmAZ8E67tCRJUqdzRXpJkqRV
  cEV6SZKk9YShS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSB
  oUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOX
  JElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkV
  GLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0
  SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIk
  SarA0CVJklSBoUuSJKmC8aNdgXa6u7enr2/BaFdjzOnqmsaSJfNHuxpjTvfkbvoW9412Ncacrkld
  LLlnyWhXY0zxWmnPa6W9qVO7WbTI62WwKVO6WLjQ62VNRGaOzgtH5FCvHRHA6NRrbAtG6/s1lkUE
  zBztWoxBM/F6GcRrZQgzvVbaiQiuuWa0azH2HHBAZ14vEUFmxtqcY1jDixExPyJ+ERG3RMQNTdnE
  iLgiIu6MiMsjYquW/c+KiHkRMTciDlqbCkqSJG0IhjunaznQk5l7ZubeTdmZwFWZ+WLgauAsgIjY
  DTgG2BU4BPhilK4rSZKkjjXc0BVt9j0SmN1szwaOaraPAOZk5lOZOR+YB+yNJElSBxtu6Ergyoi4
  MSLe2pR1ZWYfQGYuAbZtyicBi1qOXdyUSZIkdazh3r24b2beFxEvAK6IiDtZeaZ7582qkyRJGqZh
  ha7MvK/5+kBEfJcyXNgXEV2Z2RcR3cD9ze6LgSkth09uylYyc+bMZ7Z7enro6elZ3fpLkiSNuN7e
  Xnp7e0f0nKtcMiIiNgfGZeZjEbEFcAXwEeBA4OHMnBURZwATM/PMZiL9+cA+lGHFK4GdB68P4ZIR
  a8IlI9pxGYAhzOzM27qfjdfKEGZ6rbTjkhHtuWTEmhtOT1cX8J2IyGb/8zPzioj4GXBRRJwELKDc
  sUhm3h4RFwG3A8uAdw6ZriRJkjrEKkNXZv4W2KNN+cPAq4c45uPAx9e6dpIkSRsI//aiJElSBYYu
  SZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIk
  SRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIq
  MHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDo
  kiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJ
  klSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSp
  AkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG
  LkmSpAoMXZIkSRWMH+0KtNPVNY2+vhjtaow5XV3TRrsKY1LXpC76ZvaNdjXGnK5JXaNdhTHHa6U9
  r5X2pkzp4oADvF4GmzLF62VNRWaOzgtH5Gi9tiRJ0uqICDJzrXqEhj28GBHjIuLmiLi0eTwxIq6I
  iDsj4vKI2Kpl37MiYl5EzI2Ig9amgpIkSRuC1ZnTdSpwe8vjM4GrMvPFwNXAWQARsRtwDLArcAjw
  xYhwrFCSJHW0YYWuiJgMHAr8e0vxkcDsZns2cFSzfQQwJzOfysz5wDxg7xGprSRJ0npquD1dnwHe
  B7ROwurKzD6AzFwCbNuUTwIWtey3uCmTJEnqWKsMXRFxGNCXmT8Hnm2Y0FnxkiRJQxjOkhH7AkdE
  xKHAZsCWEfF1YElEdGVmX0R0A/c3+y8GprQcP7kpW8nMmTOf2e7p6aGnp2e134AkSdJI6+3tpbe3
  d0TPuVpLRkTE/sB7M/OIiPgk8FBmzoqIM4CJmXlmM5H+fGAfyrDilcDOg9eHcMkISZK0vhiJJSPW
  ZnHUTwAXRcRJwALKHYtk5u0RcRHlTsdlwDtNV5IkqdO5OKokSdIqVF0cVZIkSWvO0CVJklSBoUuS
  JKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElS
  BYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoM
  XZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLok
  SZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIk
  VWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA
  0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFL
  kiSpgvGjXYF2uru3p69vwWhXY8zp6prGkiXzR7saY8723d0s6Osb7WqMOdO6upi/ZMloV2NM8Vpp
  z2ulvalyuhpaAAAXO0lEQVRTu1m0yOtlsClTuli40OtlTURmjs4LR+RQrx0RwOjUa2wLRuv7NZZF
  hFdLGwFeL4N4rbTntdJeRHDNNaNdi7HngAM683qJCDIz1uYcqxxejIjnRMT1EXFLRNwWER9ryidG
  xBURcWdEXB4RW7Ucc1ZEzIuIuRFx0NpUUJIkaUOwytCVmX8CDsjMPYE/B14VEfsCZwJXZeaLgauB
  swAiYjfgGGBX4BDgi1G6riRJkjrWsCbSZ+bjzeZzmmMeAY4EZjfls4Gjmu0jgDmZ+VRmzgfmAXuP
  VIUlSZLWR8MKXRExLiJuAZYAvZl5O9CVmX0AmbkE2LbZfRKwqOXwxU2ZJElSxxrW3YuZuRzYMyIm
  AJdHRA8rz3TvvFl1kiRJw7RaS0Zk5u8i4gfAXwJ9EdGVmX0R0Q3c3+y2GJjSctjkpmwlM2fOfGa7
  p6eHnp6e1amOJEnSOtHb20tvb++InnOVS0ZExDbAssxcGhGbAZcDHwEOAh7OzFkRcQYwMTPPbCbS
  nw/sQxlWvBLYefD6EC4ZsSZcMqIdlwFoz2UAVua10p7XSnsuGdGeS0asueH0dL0QmN3cgTgO+Hpm
  /qiZ43VRRJwELKDcsUhm3h4RFwG3A8uAdw6ZriRJkjqEi6OuV+zpasfei/bsvViZ10p7Xivt2dPV
  nj1da86/vShJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl
  SZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5Ik
  qQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIF
  hi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxd
  kiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJ
  kiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFYzp0HXwwzJ0Ld94J73//ys+/971w881w
  001w662wbBlstVV57j3vKWW33lq2+33oQ7BoUTnmppvKa2j9dxnwEmAXYFab5/8Z2BP4C2B3YDzw
  KHBXS/mewFbAvw469tOUH5SH10XFJY1pN9wAM2bAm94EF1648vNLl8IZZ8Bb3wonnQSXXVbKFy2C
  k0+GU04pX1/3OvjWt8pzX/4ynHBCOeZDH4I//KHe+9HoiswcnReOyKFeOyKISO66Cw48EO69F268
  EaZPLwGsncMOg9NOg9e8BnbbrfxwvOxl8NRT5YfgbW+D3/62XOC//z185jPr8M2tM8Fofb/Gsohg
  R+BHwHbAy4A5lBDWzveBzwJXDSpfDkwGrgemNGX3AG8F7gRuAp43ojVftwK8XgaJCGyRlXmttBcR
  bLcdfPrTsM028Pa3l8+QqVNX7DN7Njz5ZAlWS5eWgPbtb8NGG63YZ/lyOOYY+NKX4AUvKL/w77kn
  jBsH55wDEeX49cUBB3Tm9RIRZGaszTnGbE/X3nvDvHmwcGEJTnPmwJFHDr3/sceu+C1k113h+uvL
  D8Ly5XDttfD616/YN9aqyTQW7QxMAzYGpgOXPMu+FwLHtim/CtiRFYEL4HTgUyNUR0nrn8mTobsb
  xo+HV70Kfvzjgc9PnAiPP162H38cJkwYGLighKzttiuBC2CvvUrggtJJ8MAD6/Y9aOwYs6Fr0qTS
  PdvvnntKWTubbgqvfe2Krttf/Qpe+UrYemvYbDM49FCY0vJJ+u53wy23wLnnlh8Qrf9ag9JkYPEQ
  +z1BGYp8Q5vnvsHAMHZpc97dR6KCktZL/UGpf3twQHrd62D+fDj66DJc+O53r3yOa64pga2dH/6w
  dDKoM4zZ0LU6Dj8crruudO1CGYKcNQuuvBJ+8IMSsJ5+ujz3xS/CDjuUrt0lS+Bf/mX06q36vgfs
  B2w9qHwZJWT9r+bxE8DHgI+07NN5nemSVuWCC2DHHeGb3yxDhWefDU88seL5p56C//kf6OlZ+dj/
  /M/SK/bqV1errkbZmA1dixcPHDefPLmUtTN9+soTHL/2tTKn64AD4NFH4a67SvmDD67Y59xzyz5a
  /y1s2b4HGKJTlDm0H1r8IbAX0P9L7d3AfOClwIuac+4F3D8CdZW0/ri/5Yf+gQcG9nxBGVnZf/+y
  PWlSGYpc2PI/pOuvh112KSMvrS67DH76U/jgB9dNvTU2jdnQdeONsNNOJXhtvHEJVpdeuvJ+EyaU
  C/6SQZN4ttmmfJ0yBf7mb8pvIwBdXSv2ef3ryw+M1n+/BhYAT1KC1RFt9lkKXAu0mxo4eJ7XnwFL
  gN8Av6UMWd4CbDtyVZa0Hli8uIyKLFsGV18Nr3jFwOenTi130QM8/HCZCvPCF654/uqrVx5avOGG
  Mk/5ox+FTTZZt/XX2DIm717s7t6evr4FHHzwwZx99tmMGzeO8847j1mzZnHKKaeQmZx77rkAzJgx
  g4MPPpjjjz9+wDmuvfZanve857Fs2TJOP/10rr32WgBmz57NHnvswfLly5k/fz5ve9vbuP/+9aP/
  oqtrGkuWzB/taow523d3s6Cvb7SrMeZM6+pi/pIlo12NMcVrpT2vlfamTu1m0SKvl8GmTOli4cLO
  u15G4u7FMRm6JEmSxpINeskISZKkDckqQ1dETI6IqyPitoj4ZUS8pymfGBFXRMSdEXF5RGzVcsxZ
  ETEvIuZGxEHr8g1IkiStD1Y5vBgR3UB3Zv48Ip5LWZj7SOBE4KHM/GREnAFMzMwzI2I34HzKwuCT
  KWtO7jx4LNHhRUmStL6oMryYmUsy8+fN9mPAXEqYOhKY3ew2Gziq2T4CmJOZT2XmfGAe4NJvkiSp
  o63WnK6I2B7YA/gp0JWZfVCCGSvupp8EtKwlz2KGXjZJkiSpI4wf7o7N0OI3gVMz87GIGDw2uNpj
  hTNnznxmu6enh552S/ZKkiRV1tvbS29v74iec1hLRkTEeOD7wA8z8+ymbC7Qk5l9zbyvazJz14g4
  E8jMnNXsdxnw4cy8ftA5ndMlSZLWCzWXjPgKcHt/4GpcCry52T4BuKSlfHpEbBIRLwJ2Am5Ym0pK
  kiSt74Zz9+K+wH8Bv6QMISbwAUqQugiYQvkLLMdk5qPNMWcBb6H8HeFTM/OKNue1p0uSJK0XXJFe
  kiSpAleklyRJWk8YuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S
  JEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS
  KjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg
  6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl
  SZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5Ik
  qQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIF
  hi5JkqQKDF2SJEkVGLokSZIqGD/aFWinu3t7+voWjHY1xpyurmksWTJ/tKshSR1h6tRuFi3qG+1q
  jDlTpnSxcOGS0a7Geikyc3ReOCKHeu2IAEanXmNbMFrfL0nqNBHBNdeMdi3GngMOoCM/iyKCzIy1
  Occqhxcj4ryI6IuIW1vKJkbEFRFxZ0RcHhFbtTx3VkTMi4i5EXHQ2lROkiRpQzGcOV1fBQ4eVHYm
  cFVmvhi4GjgLICJ2A44BdgUOAb4YpdtKkiSpo60ydGXmdcAjg4qPBGY327OBo5rtI4A5mflUZs4H
  5gF7j0xVJUmS1l9revfitpnZB5CZS4Btm/JJwKKW/RY3ZZIkSR1tpJaM6LwZdZIkSathTZeM6IuI
  rszsi4hu4P6mfDEwpWW/yU1ZWzNnznxmu6enh56enjWsjiRJ0sjp7e2lt7d3RM85rCUjImJ74HuZ
  uXvzeBbwcGbOiogzgImZeWYzkf58YB/KsOKVwM7t1oZwyYg14ZIRklSLS0a055IRa26VPV0RcQHQ
  Azw/IhYCHwY+AVwcEScBCyh3LJKZt0fERcDtwDLgnUMmK0mSpA7i4qjrFXu6JKkWe7ras6drzfm3
  FyVJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJ
  kiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJ
  qsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSB
  oUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOX
  JElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmS
  pAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSapg/GhX4NkcfDB89rMwbhycdx588pMDn3/ve+H44yET
  Nt4Ydt0VttkGli6F3/62fF2+HJYtg332KcfMmgWHHw5/+hPcfTeceCL8/vf135skaey74Qb4/OfL
  58yhh8Kxxw58fulS+NjH4KGHyufNMcfAa18LTz4Jp54KTz1VPoP23RdOPrkc8+Uvw09+Uj63ttsO
  zjgDttii/ntTfZGZo/PCETnUa0cEEcldd8GBB8K998KNN8L06XDnne3Pd9hhcNpp8JrXlMd33w17
  7QWPPjpwvwMPhKuvLj9AH/94+fqBD4zgG1ungtH6fklSp4kIttsOPv3p8gv9298OH/oQTJ26Yp/Z
  s0vAOvnkEsBmzIBvfxs22gj++EfYdFN4+mn427+Fd7wDdt8dbroJ9tyzdCiccw5ErAhk64MDDqAj
  P4sigsyMtTnHmB1e3HtvmDcPFi4svynMmQNHHjn0/sceCxdeuOJxRLmgB/vRj0rQAvjpT2Hy5JGt
  tyRpwzF5MnR3w/jx8KpXwY9/PPD5iRPh8cfL9uOPw4QJJXBBCVxQeroyYcsty+O99lrx+bTbbvDA
  A+v+fWhsGLOha9IkWLRoxeN77ill7Wy6aenO/da3VpRlwpVXlq7ht761/XEnnQQ//OHI1VmStGF5
  wQsGbg8OSK97HcyfD0cfXT5r3v3uFc8tX156sN7wBnjpS2H77Vc+/w9/WDoZ1BnGbOhaHYcfDtdd
  V7p2++27b/lt4tBD4V3vKo9bfeAD5beP1t4xSZJWxwUXwI47wje/WYYKzz4bnniiPDduHJx7Llx0
  Edx6K/z85wOP/c//LL1ir351/XprdIzZ0LV48cBx88mTS1k706evHJ6WLClfH3wQvvOdgb9JnHBC
  CWPHHTeydZYkbVjuv3/F9gMPDOz5AvjVr2D//cv2pEllKHLhwoH7bLEFvPzlcNddK8ouu6xMcfng
  B9dNvTU2jdnQdeONsNNOJXhtvHEJVpdeuvJ+EyaUC/6SS1aUbbbZijtBNt8cDjqo/GBAuSPyfe+D
  I44okx8lSRrK4sXll/hly8pNWK94xcDnp06Fm28u2w8/XKbCvPCFZeTlscdK+Z/+VCbP77hjeXzD
  DWWe8kc/CptsUu+9aPSN2SUjli8vY+NXXLFiyYg77oBTTinztc49t+x31FFw+eXlLpF+XV2ldyuz
  TH48//wyvwvgc58rF3n/45/+tAw/SpI02KmnwvvfXz6TDj0Upk0rHQARZWrL8ceXpYje8pay/9ve
  VjoDfvMb+MQnyufQ8uXll/+99ir7/Ou/lhvE3ve+8njXXeH000fn/amuMblkRHf39vT1Lahco7Gv
  q2saS5bMH+1qSFJHmDq1m0WL+ka7GmPOlCldLFy4ZLSrUd1ILBkxJkOXJEnSWDKm1+mKiNdGxB0R
  cVdEnLGuXkeSJGl9sE5CV0SMAz4PHAz8f8CxEfGSdfFaG5re3t7RrsKYZLu0Z7uszDZpz3Zpz3Zp
  z3ZZN9ZVT9fewLzMXJCZy4A5wLOsJ69+Xujt2S7t2S4rs03as13as13as13WjXUVuiYBLevJc09T
  JkmS1JHG7DpdkiRJG5J1cvdiRLwcmJmZr20enwlkZs5q2cdbFyVJ0npjTC4ZEREbAXcCBwL3ATcA
  x2bm3BF/MUmSpPXAOlmRPjOfjoh3A1dQhjDPM3BJkqRONmqLo0qSJHWSUZlI38kLp0bEeRHRFxG3
  tpRNjIgrIuLOiLg8IrZqee6siJgXEXMj4qDRqfW6FRGTI+LqiLgtIn4ZEe9pyju9XZ4TEddHxC1N
  23ysKe/odoGyFmBE3BwRlzaPbZOI+RHxi+Z6uaEps10itoqIi5v3eVtE7NPp7RIRuzTXyc3N16UR
  8R7bJc5qrpFbI+L8iNhkxNskM6v+owS9XwPTgI2BnwMvqV2P0foH7AfsAdzaUjYLeH+zfQbwiWZ7
  N+AWyjDw9k27xWi/h3XQJt3AHs32cynzAV/S6e3SvNfNm68bAT8F9rVdEuB04D+BS5vHtgn8Bpg4
  qMx2ga8BJzbb44GtbJcB7TMOuBeY0sntQskkvwE2aR5/AzhhpNtkNHq6Onrh1My8DnhkUPGRwOxm
  ezZwVLN9BDAnM5/KzPnAPEr7bVAyc0lm/rzZfgyYC0ymw9sFIDMfbzafQ/mf4yN0eLtExGTgUODf
  W4o7uk0awcqjFx3dLhExAXhlZn4VoHm/S+nwdhnk1cDdmbmIzm6X3wFPAltExHhgM2AxI9wmoxG6
  XDh1ZdtmZh+UAAJs25QPbqvFbOBtFRHbU3oCfwp0dXq7NMNotwBLgN7MvB3b5TPA+4DWCamd3iZQ
  2uPKiLgxIt7alHV6u7wIeDAivtoMpZ0TEZtju7R6I3BBs92x7ZKZjwCfBhZS3t/SzLyKEW4TF0cd
  mzry7oaIeC7wTeDUpsdrcDt0XLtk5vLM3JPS8/fKiOihg9slIg4D+pqe0WdbL6dj2qTFvpn5F5Re
  wHdFxCvp4GulMR74C+ALTdv8ATgT2wWAiNiY0mNzcVPUse0SETtQpi1MA7aj9Hgdzwi3yWiErsXA
  1JbHk5uyTtYXEV0AEdEN3N+UL6aMs/fbYNuq6c79JvD1zLykKe74dumXmb8DfgD8JZ3dLvsCR0TE
  b4ALgVdFxNeBJR3cJgBk5n3N1weA71KGOjr5WoEykrIoM3/WPP4WJYR1erv0OwS4KTMfbB53crv8
  JfDjzHw4M58GvgO8ghFuk9EIXTcCO0XEtIjYBJgOXDoK9RhNwcDf0i8F3txsnwBc0lI+vbmD4kXA
  TpSFZjdEXwFuz8yzW8o6ul0iYpv+O2UiYjPgNZSJmx3bLpn5gcycmpk7UP7fcXVmvgn4Hh3aJgAR
  sXnTU0xEbAEcBPySDr5WAJphoUURsUtTdCBwGx3eLi2Opfzy0q+T2+VO4OURsWlEBOVauZ2RbpNR
  ukvgtc0bnAecORp1GK1/lLHze4E/UcaOTwQmAlc1bXIFsHXL/mdR7oqYCxw02vVfR22yL/A05U7W
  W4Cbm2vkeR3eLrs3bXEL8Avg75ryjm6Xlve6PyvuXuzoNqHMXer/+fll//9XO71dmvf5Usov+z8H
  vk25e9F2gc2BB4AtW8o6ul0oc0VvA26lTJrfeKTbxMVRJUmSKnAivSRJUgWGLkmSpAoMXZIkSRUY
  uiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKmC/x/NmpmnLIV/sQAAAABJRU5ErkJggg==
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795e02b410>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "scores/DECODA_AE_TANH_TFIDF_BIGTRANS.shelve
  "
       ]
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAG0xJREFUeJzt3Xt0VeW57/HvEwiXJCAQ5GIQQmEDgoqKRlptXfUC6bEK
  6hkVHFqrrdJadj2n226k9RIv7ZHu1t3jgLagHOtWK+PsiorHqtTiKnVXBQERJchVJAGBcJcAhvCc
  P+YiLEIuCzJZKzP5fcZYI3O+882cz3oH4+HNO9/5TnN3REQkmrIyHYCIiJw4JXERkQhTEhcRiTAl
  cRGRCFMSFxGJMCVxEZEISymJm1mxma0ws5VmNqmO413MbLaZLTWzd8xsaPihiohIbY0mcTPLAqYC
  o4FhwHgzG1Kr2k+BJe4+HLgZeCzsQEVE5Fip9MSLgFXuvt7dq4BZwJhadYYC8wDc/WOg0MxODTVS
  ERE5RipJvADYkLRflihLthS4FsDMioC+QJ8wAhQRkfqFdWPzEaCrmS0GfggsAapDOreIiNSjbQp1
  ygl61of1SZTVcPc9wK2H981sHbC29onMTAu1iIicAHe3uspT6YkvBAaaWT8zaweMA+YkVzCzU8ws
  O7F9G/A3d/+8nkD0cef+++/PeAzN5aO2UFuoPRr+NKTRnri7V5vZRGBuIunPdPdSM5sQHPYZwBnA
  U2Z2CPgI+G5j5xURkaZLZTgFd38NGFyrbHrS9ju1j4uIyMmnJzYzJBaLZTqEZkNtcYTa4mhqj8ZZ
  Y+MtoV7MzNN5PRGRlsDM8Cbc2BQRkWZKSVxEJMKUxEVEIkxJXEQkwpTERUQiTElcRCTClMRFRCJM
  SVxEJMKUxE+yjz+GZ56Bai3MKyInQUprp8iJ+9734P33oXt3KC7OdDQi0tIoiYegvBzefhtWroTC
  QrjhBvjrX6GyMuiJP/gg/Md/wJo1cMstkJOT6YhFpKXQ2ikhmDQJfvMb6NYNDhyAsjIYMQLWroXv
  fx/uvBO+8hWoqIA//AFuvDHTEYtIlDS0dkqz7YlfeSVceim88grMng333Qf33AM9eqR+jldfhYcf
  PnkxHvbhh9C/P4wbB+++C+efD/v2QZs28O1vB73zysqg7l13wZ498J//GSR8EZGmaJY98YMHITs7
  2O7RAx5/HK65Bv7t3+DHP079ehdfDN/6VtArPpm6doXTToPcXNi7Fz76CAYMgLZtg7Hww7H06weX
  XAITJgTDKt/VqzNEJAUXX1x/T7xZJvFPPw0S3siRUFQEmzfDa68FPddbboE//Qn272/8evn5wTj1
  4f8QMuknPwm+04QJcNZZ8PzzMGxYpqMSkShoaDilWSbx+fNh8mT4+9+DMeTvfjcYlrjtNvjqV+Gn
  Pw3GoRvToQO0a9f0uMN26BBkaXKniKQocmPi69cHvdasLLjoomBoYvToYPv66+H226Fz50xHeeKU
  wEUkLM02iRcWBtuDB8Pq1UeOzZqVkZBERJqlZtknLC+HgoJMRyEi0vw1yyS+bduRWR0iIlK/ZpvE
  8/MzHYWISPOXUhI3s2IzW2FmK83smHkhZpZvZq+a2ftmtszMvtPYOR96CKqq6j6mJC4ikppGpxia
  WRawErgM2AgsBMa5+4qkOvcDHdx9spl1Bz4Gerr7wVrncnenujqYu71kCQwffuw1Tz8d3normKEi
  ItLaNTTFMJWeeBGwyt3Xu3sVMAsYU6vOZ0CnxHYnYFvtBJ5s505wh6VLj5S99x587WvBtnriIiKp
  SWWKYQGwIWm/jCCxJ3sc+KuZbQTygOsbOuG2bcHP5CS+cGHwcM++fcHa27m5KUQmItLKhTVPfDKw
  1N2/bmYDgL+Y2dnu/nntiiUlJZSVBdtvvhkDYsCRpL18edALtzr/cBARafni8TjxeDyluqkk8XKg
  b9J+n0RZsouAnwO4+xozWwcMAd6rfbKSkhJeeQUWLQrWSHEPVvXbsiU4PmuWhlJEpHWLxWLEYrGa
  /QceeKDeuqkk8YXAQDPrB2wCxgHja9UpBS4H/svMegKDgLX1nXDbNjjzzOChno0boU+foLxbN3jj
  DRg1KoWoRESk8STu7tVmNhGYS3AjdKa7l5rZhOCwzwD+F/CkmS0FDPhXd99e3zkP37gcPhweffRI
  +eTJwXrbIiKSmpTGxN39NWBwrbLpSdsVwFWpXnTbtqDXfccd8OKLcOGFwcsUunRJ9QwiIgIZeGLz
  iSeC9cHz84MXPTz1FPzsZ8GxU05JdzQiItGW9lUMb7stWIr1H/84UtazZ/BTPXERkeOTkbVTBg4M
  3thzWK9ewc/mlMT3H9zPI289QlV1Fcu3LucH/+8HzFs3jz8u+2OmQxMRqZH2nnhWFsTjR88DP/zy
  47qS+K//8WsmnD+BvHZ5ocfybtm7rN+1nv5d+rNsyzKWbFrC7i92A7B+53reKXuHv6z9C2t3rKVn
  bk+efP9Jqg5VceDgAeZ/Op9DfgjDGD1gNHu+2MPtI24PPUYRkYakPYnn5EDv3keXdegAffseu/zs
  F9VfcPdf76ZHbg9GDxzNU+8/xbgzx/HMB89w+4jbeXzx4xzyQ/TM7ckb69447lj+9snf2HdwHznZ
  OezYt4NRA0ZxzZBrAMiyLP4w9g/MXz+frh26MqT7EAZNHcTDX3+YW+fcyuSLJzM4fzBlu8u4YfYN
  5GbnMnfNXLLbnNwXevbt3JfuOd25buh1fKnrl07oHDMWzaCooIgh3YfwL6//C9v31zuRKKN65/Xm
  l1f8krZZbZm6YCqX9r+UoacOzXRYIs1K2t+xmZ/vVFQce6yq6sgLjasPVXPfm/dx9eCrGTlzJIVd
  ChneczgvffwSfTr3Yce+HYw4bQTz188nNzuXA9UHmPqNqXRuf3zvbOuV14tuHbtRUVlBr7xeFHYp
  JLdd/c/7f7jlQ87scSYLyhdwwWkXYIk/JxaWL6RLhy68t/GYZ5tC99iCx1i2eRm98npxds+zj/v3
  q72a+CdxOrXrRJ/OfcjPyefGs248CZE23fRF06n2arp06EL8kzj5HfM5r/d5J3y+4oHFvLH2DS7/
  0uXs2r+LqwZfxUsrXmLSxSm8sPUk2nNgDw/Nf4gHv/4gH2z+gMWbFvP9879fb/0nFj/BGd3P4KK+
  F9WUlW4t5eWVLzNm8BjuffNeJoyYwOa9mzk151SuGHAFa3es5dkPnuWer93D7NLZbK3cSvyTOGbG
  Ly//JTOXzOTWc2/lySVP0jOvJ3PXzE3HV5cUvTDuhebzouTevZ2NG489tm7HOqYvms4jlz/CY+8+
  xp2v3ckt59zCjv07uO6M6/jOi9/hyTFPkp+TT6+8Xox8YiTTvzmdUQNGsWP/Ds7scWbavkcmbavc
  xt6qvSzfupzKqsoTOsdZPc6ibHcZO/fv5IoBV5yUoaow7Ny/k3nr5gFwbq9zWb19NXu+2HNC5yrf
  Xc6PXvsRE0ZMYPqi6XRu35nc7Fz2Vu2lqKCI9m3ahxn6cSnbXca6nesYlD+IDbs2cKD6AF/u82Wy
  7NhbVo7z9oa3yW6TzQWnXVBTvmzLMnbu30ludi5XDbqK2Stmc8gPkWVZXFhwIaUVpVRUVjCi9wg+
  2PwBuw/s5ocX/JCDhw7yfOnz7K3aW9MelVWVTP/mdLp0aEY3qVq564Ze13ySeGGhs27dscemLZjG
  xFcnsuvuXYydNZbt+7azdPNS7r/kfkpiJazatoqB3QbW9H5r74s0ZvnW5ZzR/QxWVKygU/tOrNq2
  ikH5g1jy2ZKMxpVlWRQVFPFu2bt07diVXnm9WL51eb31B+cPZvu+7Wyt3FpTltcuj4HdBrJq2ypi
  hTEWbVpEbnYulVWVbPp8Ex3bdmToqUNZtGkRhV0Kyc7KZmC3gQDMWzePs3qeVfOX5s79OxnSfchJ
  /96SuoaWok17Eh882Fmx4thjD/3tIe6L30dRQRELyhfw1NinuPnFm1n/P9bT95S+x/6CiEgr0dT1
  xEPVPvFXa+nWUu5/8/6a8tU7VvPrUb9mQNcBANx09k1s/PFGJXARkQakPYm3axf8nLduHlP+awq7
  DwRT+tZsX8OI3iN45tpnqPhJBWZG7069GziTiIhkrCf+4ZYPqfZqnl76NACrt69mQLcBZFkW+Tla
  i1ZEJBVpnydek8S3fsijox7lZ/N+xt8//Tv7Du6joFNBusMREYm0jCXx5VuX861h36J4YDGDpg7i
  K6d/RTNNRESOU9qTeLt2wZOYuw/spkduD3rm9eSfuv0TZ57aOuZ5i4iEKSM98e37ttOtY7eanvel
  /S9t0pN4IiKtVUaSeEVlBfkdj9y8/O2Vv8XQUIqIyPHKSBLfVrmN7jlHVruq6/FiERFpXEbmiVdU
  VmgaoYhICDIyT3zbvm1079i98coiItKgjCRx9cRFRMKRmZ54rTFxERE5MRkZE99SuUVJXEQkBCkl
  cTMrNrMVZrbSzI55DYqZ3WVmS8xssZktM7ODZlbnivLt28OGXRs4vfPpTY1dRKTVazSJm1kWMBUY
  DQwDxpvZUSvGu/uv3P1cdz8PmAzE3X1nXedr3x427N7A6acoiYuINFUqPfEiYJW7r3f3KmAWMKaB
  +uOB5+o7mN3uEOW7y9UTFxEJQSpJvADYkLRflig7hpl1BIqB5+s72f42W+jUvhMdszseT5wiIlKH
  sJ/YvAp4q76hFIAXXryXtrSlZG8JsViMWCwWcggiItEWj8eJx+Mp1W30HZtmNhIocffixP7dgLv7
  lDrqzgb+r7vPqudcfsW//zMDBlbxu2/+LqUARURauya9KNnM2gAfA5cBm4AFwHh3L61V7xRgLdDH
  3ffVcy7PfqA9G+8q0xRDEZEUNZTEGx1OcfdqM5sIzCUYQ5/p7qVmNiE47DMSVccCr9eXwA875NVH
  rWAoIiInrtGeeKgXM/PcB7vy+b3b03ZNEZGoa6gnnvYnNjtk5aX7kiIiLVbak3jHrE7pvqSISIuV
  /iTeRklcRCQsGk4REYkwDaeIiERYBoZT1BMXEQmLxsRFRCJMSVxEJMI0nCIiEmHqiYuIRFjak3iO
  euIiIqFJexLPzmqX7kuKiLRYaU/iWZb2S4qItFhpz6hmdS7EJSIiJyDtSbxNlnriIiJhUU9cRCTC
  0t8T15i4iEho1BMXEYkwzU4REYmwDCRx9cRFRMKinriISISpJy4iEmHpT+KaJy4iEpqUMqqZFZvZ
  CjNbaWaT6qkTM7MlZvahmb1Z7wXVExcRCU3bxiqYWRYwFbgM2AgsNLOX3H1FUp1TgGnAKHcvN7Pu
  9Z1PY+IiIuFJJaMWAavcfb27VwGzgDG16twAPO/u5QDuXlHvBdUTFxEJTSpJvADYkLRflihLNgjo
  ZmZvmtlCM7up3gtqTFxEJDSNDqccx3nOAy4FcoG3zextd19du+Lrf3yGne+9DUAsFiMWi4UUgohI
  yxCPx4nH4ynVNXdvuILZSKDE3YsT+3cD7u5TkupMAjq4+wOJ/SeAV939+Vrn8ql//gs//Mblx/F1
  RERaNzPD3esci05lbGMhMNDM+plZO2AcMKdWnZeAi82sjZnlABcCpfUFIyIi4Wh0OMXdq81sIjCX
  IOnPdPdSM5sQHPYZ7r7CzF4HPgCqgRnuvryu82kVQxGR8KQ0Ju7urwGDa5VNr7X/K+BXjZ1LPXER
  kfDozT4iIhGmtVNERCJMa6eIiESYeuIiIhGm9cRFRCIsAzc21RMXEQmLxsRFRCJMY+IiIhGmMXER
  kQjTmLiISIRpTFxEJMI0Ji4iEmEaExcRibAMDKeoJy4iEpa0J/G2GhMXEQlN2jOq1hMXEQmP1hMX
  EYkwzU4REYmw9PfE26gnLiISFvXERUQiTGPiIiIRptkpIiIRpp64iEiEpZRRzazYzFaY2Uozm1TH
  8UvMbKeZLU587qnvXFrFUEQkPG0bq2BmWcBU4DJgI7DQzF5y9xW1qs5396sbO5/WThERCU8qGbUI
  WOXu6929CpgFjKmjXkpdbK2dIiISnlSSeAGwIWm/LFFW25fN7H0ze8XMhtZ3Mo2Ji4iEp9HhlBQt
  Avq6e6WZfQN4ERhUV8Vpj/6Kbp1yAYjFYsRisZBCEBFpGeLxOPF4PKW65u4NVzAbCZS4e3Fi/27A
  3X1KA7+zDhjh7ttrlfvaz7bSv2f3lIITEZFgara71zkWncrYxkJgoJn1M7N2wDhgTq0L9EzaLiL4
  z2E7ddA8cRGR8DQ6nOLu1WY2EZhLkPRnunupmU0IDvsM4L+b2Q+AKmAfcH1959OYuIhIeBodTgn1
  YmZeVrGDgvwuabumiEjUNXU4JVRttYqhiEhotIqhiEiEae0UEZEI09vuRUQiTGPiIiIRpjFxEZEI
  03CKiEiE6camiEiEaThFRCTCMpDE1RMXEQmLXpQsIhJh6haLiESYkriISIQpiYuIRJiSuIhIhCmJ
  i4hEmJK4iEiEKYmLiESYkriISIQpiYuIRJiSuIhIhCmJi4hEmJK4iEiEpZTEzazYzFaY2Uozm9RA
  vQvMrMrMrg0vRBERqU+jSdzMsoCpwGhgGDDezIbUU+8R4PWwgxQRkbql0hMvAla5+3p3rwJmAWPq
  qPfPwJ+ALSHGJyIiDUgliRcAG5L2yxJlNczsNGCsu/8O0ILhIiJp0jak8/wGSB4rrzeRl5SU1GzH
  YjFisVhIIYiItAzxeJx4PJ5SXXP3hiuYjQRK3L04sX834O4+JanO2sObQHdgL3C7u8+pdS5v7Hoi
  InI0M8Pd6+wcp5LE2wAfA5cBm4AFwHh3L62n/pPAy+4+u45jSuIiIsepoSTe6HCKu1eb2URgLsEY
  +kx3LzWzCcFhn1H7V5ocsYiIpKTRnnioF1NPXETkuDXUE9cTmyIiEaYkLiISYUriIiIRpiQuIhJh
  SuIiIhGmJC4iEmFK4iIiEaYkLiISYUriIiIRpiQuIhJhSuIiIhHWLJJ4YWEhZtYiPoWFhZluThFp
  RZrFAliJxV3SFsfJ1JK+i4g0D1oAS0SkhVISFxGJMCVxEZEIUxIXEYkwJXERkQhTEk/Bjh07uOaa
  a8jLy6N///4899xzmQ5JRARI4UXJAnfccQcdOnRg69atLF68mCuvvJJzzjmHM844I9OhiUgrp3ni
  jaisrKRr164sX76cAQMGAHDzzTdTUFDAL37xi2PqN+fvIiLRpHniTbBy5Uqys7NrEjjA8OHD+eij
  jzIYlYhIIDLDKVbn/0HH50Q6yJ9//jmdO3c+qqxz587s2bOn6QGJiDRRSj1xMys2sxVmttLMJtVx
  /GozW2pmS8zsPTO7NOxA3Zv+ORF5eXns3r37qLJdu3bRqVOnEL6ViEjTNJrEzSwLmAqMBoYB481s
  SK1qb7j7cHc/F7gFmBF6pBkyaNAgDh48yJo1a2rKli5dyrBhwzIYlYhIIJWeeBGwyt3Xu3sVMAsY
  k1zB3SuTdvOAivBCzKycnByuvfZa7rvvPiorK3nrrbd4+eWXuemmmzIdmohISkm8ANiQtF+WKDuK
  mY01s1Lgz8CPwgmveZg2bRqVlZX06NGDG2+8kd///veaXigizUJoNzbd/UXgRTO7GHgaGFxXvZKS
  kprtWCxGLBYLK4STpmvXrrzwwguZDkNEWol4PE48Hk+pbqPzxM1sJFDi7sWJ/bsBd/cpDfzOGqDI
  3bfVKo/cPPHj1ZK+i4g0D02dJ74QGGhm/cysHTAOmFPrAgOSts8DqJ3ARUQkfI0Op7h7tZlNBOYS
  JP2Z7l5qZhOCwz4DuM7Mvg18AewFrj+ZQYuISECP3YesJX0XEWke9Ni9iEgLpSQuIhJhSuIiIhGm
  JC4iEmFK4iIiEaYknoJp06ZxwQUX0KFDB2699dZMhyMiUiMy64lnUkFBAffeey+vv/46+/bty3Q4
  IiI1lMRTMHbsWAAWLlxIeXl5hqMRETlCwykiIhEWmZ64PdD097P5/XqSUkRalsgkcSVgEZFjaThF
  RCTClMRTUF1dzf79+6murubgwYMcOHCA6urqTIclIqIknoqHH36YnJwcpkyZwrPPPktOTg4///nP
  Mx2WiIiWog1bS/ouItI8aClaEZEWSklcRCTClMRFRCJMSVxEJMKUxEVEIkxJXEQkwprFY/f9+vXD
  rOlrozQH/fr1y3QIItKKpDRP3MyKgd8Q9NxnuvuUWsdvACYldvcAP3D3ZXWcp8554iIiUr8mzRM3
  syxgKjAaGAaMN7MhtaqtBb7m7sOBh4HHmxZyyxePxzMdQrOhtjhCbXE0tUfjUhkTLwJWuft6d68C
  ZgFjkiu4+zvuviux+w5QEG6YLY/+cR6htjhCbXE0tUfjUkniBcCGpP0yGk7S3wNebUpQIiKSmlBv
  bJrZ14FbgIvDPK+IiNSt0RubZjYSKHH34sT+3YDXcXPzbOB5oNjd19RzLt3VFBE5AfXd2EylJ74Q
  GGhm/YBNwDhgfHIFM+tLkMBvqi+BNxSEiIicmEaTuLtXm9lEYC5HphiWmtmE4LDPAO4FugG/tWDC
  d5W7F53MwEVEJM3riYuISLjS9ti9mRWb2QozW2lmkxr/jWgzs5lmttnMPkgq62pmc83sYzN73cxO
  STo22cxWmVmpmY3KTNQnh5n1MbN5ZvaRmS0zsx8lyltde5hZezN718yWJNrjF4nyVtcWEDyHYmaL
  zWxOYr9VtkOTuPtJ/xD8Z7Ea6AdkA+8DQ9Jx7Ux9CGbonAN8kFQ2BfjXxPYk4JHE9lBgCcHwVmGi
  rSzT3yHEtugFnJPYzgM+Boa04vbISfxsQ/BcxUWtuC3+J/AMMCex3yrboSmfdPXEG31gqKVx97eA
  HbWKxwBPJbafAsYmtq8GZrn7QXf/BFhF0GYtgrt/5u7vJ7Y/B0qBPrTe9qhMbLYn6ODsoBW2hZn1
  Af4b8ERScatrh6ZKVxI/3geGWqoe7r4ZgsQG9EiU126fclpo+5hZIcFfKO8APVtjeySGEJYAnwFx
  d19O62yLfwd+AiTfmGuN7dAkWoo2s1rVXWUzywP+BNyZ6JHX/v6toj3c/ZC7n0vw18hXzSxGK2sL
  M7sS2Jz4C62hqcctuh3CkK4kXg70TdrvkyhrbTabWU8AM+sFbEmUlwOnJ9Vrce1jZm0JEvjT7v5S
  orjVtgeAu+8G/gycT+tri4uAq81sLfAccKmZPQ181sraocnSlcRrHhgys3YEDwzNSdO1M8k4upcx
  B/hOYvtm4KWk8nFm1s7M+gMDgQXpCjJN/g+w3N3/d1JZq2sPM+t+eMaFmXUEriC4Ydeq2sLdf+ru
  fd39SwT5YJ673wS8TCtqh1Ck6w4qUEwwK2EVcHem7+im4fv+EdgIHAA+JVhTpivwRqId5gJdkupP
  JrjjXgqMynT8IbfFRUA1waykJcDixL+Hbq2tPYCzEt9/CbAUuCtR3uraIun7XcKR2Smtth1O9KOH
  fUREIkw3NkVEIkxJXEQkwpTERUQiTElcRCTClMRFRCJMSVxEJMKUxEVEIkxJXEQkwv4/KZIAwsWV
  WwoAAAAASUVORK5CYII=
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f797d40d750>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAJZCAYAAACTE4A9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xmc3VV9//HXJySQCIQESDKQVbYABRURsIJlWMMiBJVi
  gBoqCFJRoVJl+T3UtNYlFCoWpFWkmlogIKgg1bCHFlwSARUEkoBmG0hIWAIYyDbn98f5TubO5E4y
  JJMzE/J6Ph7zmHu/6/ne+73zfd9zzvdMpJSQJEnSxtWruwsgSZK0OTB0SZIkFWDokiRJKsDQJUmS
  VIChS5IkqQBDlyRJUgGGLkmSpAIMXZKkbhMR90fEmaXXXcs2R0ZEc0Ss1/WxWneXriyT3joMXXpL
  i4j3RsSD1ePmiHg1Il6JiEURcXdEnNJu+akR8Xq1TMvPbTXzt42IKyNiTjVvVkT8a0RsX7PM30bE
  7yPizxHxbERcExHb1cz/UkQsj4gl1c9TEXFVRDTUKf+oiFgVEd9aj2P/Y0Q8Xmf6Wo+xzvKn1bxu
  S6vyvNIyrc62X4yIPu2mf796/d9TM23XiGiueb7GBTQiDo2Iees4zsdrjmNldWwt5b04Is6opr9S
  M/3fqnW/FxH/VD1uudi2bOu5iLg9Io5st7/Z1etQu7013rua5ett91sRsUXNMn+KiMNrnjdExHci
  oqla5+mI+M+IGB0Rh9Ts97WabbdMG9buPV4UEbdFxNA6Zfvbav2/rvO6N0fE1e2m/19EjK8e94mI
  KyJiXrWfP0bEv67tvdqEbMio4Y44rg4ZutSjRURs4CaOB/6n5vk7Ukr9gdHAJODqiPhCzfwEfDKl
  1L/mZ2xVlj7AfcBewNHVdv4SWAwcWC1zIfA14EKgP/BeYCRwd0T0rtnP5JTSdsD2wAeBBuDhiBjS
  rvzjgceBj7QPMmsTEX8FbAUMjoj9283u8BjrSSndkFLatjreY4Gmap2WaS37HFm9Ds8DJ9bZ5wvA
  P9eZvi5rXSaltE/LcQD/Vx3bttW0r1eL/aK2zCmlz6xlX9tV23oncA/w45agUbPM8e22t6ATx9Cy
  3X3J58159RaMHOB/AfQDDq7WeTfwAHBkSunBmtf+L2q23VKW+dS8x8CuQF+gXiAaDzxW/W7vz8BH
  I2JEB8d0aVWu91T7aQQeWcfrsDnY0L9ZegszdGmDRcRFETG/+rb7ZEQcFhG9IuLS6hv6koiY3vJN
  OyLeFxHTIuKliPh1RPxlzbbuj4h/jogHI+LPwNsjon9EXBe51mheRHy5JYxVtSVTI+LliHg+Im5s
  V7zjgJ/VFhcgpfRiSum/gb8DLo2Ige2XqeMMYBhwUkppRrWdxSmlr6aUpkTEtsAE4FMppbtTSqtS
  SnOBU4BRwN+032C1zJPAR4BF5LBWa3y1zReAEzooV0dlvQX4CfC3deZvjAvDeOBu4L862Ock4B0R
  8f6NsO9aG3psLefI8ymlfyO//pd1wT5atruY/Drt3cFynwWWpJQ+mlKaXa3zSkppUkqpoxrPeuVp
  2d8r5PPgL9rMzCH5YPJ7dXREDG63/svA98nHX897gB+nlBZW+5lbfabWLEjEVhHxg4hYXPO5H1Sz
  yKjqM/9KREyJtjXH742Ih6r1Ho2IQ+tsf8tq/t4103asaiR3rJ5/oFr/pWpf+3ZwXJBfu7Oqmsam
  6stUy3YPiIhfVNtpilxL3bvuRnKt5NzqS5Bk6NKGiYg9yN/Y96++7Y4BZpPDw0eAY6oanTOBpVW4
  uQO4EtgB+AbwP+1Cz98AHwe2BeaSL9bLgF2A/YCjqvkAXwbuTCkNIAeiq2rK1gAMTin9bi2HcBvQ
  m6qmah2OAKaklF7vYP77yLVLP66dmFL6Mzn4HdXRhlNKzVVZVgeSKpwMrta9hRyk1iki+gEnAzcD
  PwTGdXRR6GLjgZuqfY5pd1EFWAp8tfrprJ5Qa/Ajco3h6A3cTssXhZ3Jn5NfdrDcEbQ7hzZopxE7
  AB8Cft1u1njgf1NKjwK/AU5vNz8BXwE+HBG719n0r4ALI+LvImKfdRTjDHLN71By7e65QO3n6NRq
  mUHkz9A/VGUfSv578U8ppYHV9FurY2otaErLgVur7bQ4BZiaUlocEfsB1wFnV/v/NnD7OmqPG8m1
  hGOAi6K1+XcVcEG1nb8EDgc+2X7liDgGuB74YErpf9eyH21GDF3aUKuALYF9IqJ39W33T8BZwP9L
  KT0NkFJ6LKX0Erm5b2bVZNWcUpoMPEXbWpzvp5SeqoLI9uQmrb9PKb1R1RJcCYyrll0BjIyIoSml
  5SmlX9Rs5zhgytoKn1JaSW4e3L5m8lWR+yW9VP3+x2r6DsBza9ncjsDiqtztPVfNX5tn25VjPPDT
  lNIycpA5puVb+zp8GHglpfQQuTk0kV/3Wh0d43qJiEPIF9TbU0qzgD8Ap9VZ9DvAiIgY08GmWsr1
  YkS8CPx0Q8pV4y/bHW9nQnaLZ6vfte/NT2rK+aNObCOARRHxEjAPeI0cEurZEVjdXBkRJ1TlfiUi
  1no+t/Nv1f4WAdsAn2o3/6PkYA75/FqjiTGl9DzwH8A/1dn+14Cvk9/n6VVtd71mSsif0x2APVL2
  aErptZr530spPVOd6zcD76qmnw78T0rpzqo895ID4nF19nEjbUPXaeTQAzls/UdK6TfV/n9A/iL3
  3g7KCzCh+pvzOPC9lm2nlB5JKU2rtjOXfE63r307Bfh38pfOh9eyD21mDF3aICmlZ8jf+iYAz0fE
  DRGxEzAc+GOdVXYG5rSbNod8wW5R23F6JNAHeK7lokm+CLTUonyOfB5Pi4jHIuJjNeu2b1pcQ1UD
  NIjcfNfi0yml7VNKA6vfX6qmvwDstJbNLQZ2jPp3Pe1UzV+bocCLVbn6An9NvhiSUvot+XWqF2Ta
  G091QU8prSI3LbWvJevoGNfXeOCumgvpD+vss6VG4svVTz0t5do+pbQ98IENLFeLX7Y73mlvYt2W
  c7P2HBlbU84PdWIbCdihqq15G7nP1l0dLNvmPEsp/bRa7+/JX3A66zPVevuSP0fHtsyIiIPJTd4t
  gfEWctPvO+psZyK55rLNvOpL07+nlN4PDCDXYP5nBzWC/wXcCUyuwtnEqLmRgJqQSa4R3aZ6PBI4
  pSbgvkRuEq1348L9QL+q+W8kuU/eT2q2c2G77Qwj/z2qJwHza57PaVk2InaPiJ9GviHiZXJtYPsv
  Q+cDN1ddB6TVDF3aYCmlydUf3pYOtxPJzYK71ln8WfIf+1ojgKbaTdY8nge8Qb5gtVw0B6SU3lHt
  +/mU0jkppaHkJotrImKXKkwdSu47szYnkb+FT1/XcZI7VY+pmu/q+SX523Obi3BEbEO+4N3T0YYj
  Isi1fS3NEB8iN8d8u/rj/hz5IrHWJsaqOeZw4Iya9U4BjqvtJ9OVqoB4CnB4zT4vBN7ZQb+Z75Ev
  0p0JKz3Bh4CFKaWZNdM2pE/XMnJfqfd28J7cSz4vu0RK6Q/AF4GJ1XkG+TwK4LHq/ZpO/tzVC8ov
  kmuXv0wHNzWklJallK4BXqJOX7Wq7+KXU0p/QW6G/wD1O++3Nw/4r5qAOzDlGwb+pc4+msm1ZKeR
  a6XuqJr2W7bzlXbb2SaldNNa9j285vEIWms8/x14Eti16tbw/2h7PiTyF6YPRkRHN2xoM2Xo0gaJ
  iD0id5zfElhO7qexCvgu8M8RsVu13L5Vv62fAbtHxLiI2CIiPkK+G7BuM1LKd4XdBXwj8nANUYWq
  v6q2e3K03gr/MtBc/RwC/K5dE0ZtuQdGxOnA1cDXq6bPdfkB+Y/3rZFv3Y+I2CEiLomIY6oOy/9E
  biIbExG9I2IUuZ/TXKC2k3FL/54tImIvYDIwhNY7zMaT+6DsS/7G/s7qmN4ZEW06RLczHpgB7FGz
  3h7kUHvqWtbbEB8EVpLfx5Z97gU8SP0mq1XkmtGLNlJ5NkTQ+t4MjohPAV8ALu7C7W5Ffl2eqwJN
  e/8KDIzc8XyXap1taW1yq7ftdZlErmH762r/f01ucnsXre/ZZ4DTO6ip/QY5LO21eqcR50ceWqJv
  dR6fQa6henSNAkY0RsQ+1bZfI3/RWdWJcv83cEJEHB355py+1T47qqG6kdyX9DTghprp1wLntjQr
  R8TWEXFcRGzdwXYC+EJE9Ks+bx8jf0Yh9zV9JaW0NCL2JN+M037dZ8l98z4TEed24ji1mehU6Kou
  Kn+IPPbQ9ZHvFBkYEXdFxIyIuDPajkN0SeTxi56MiKM3XvHVA2xF7texiPyHZhBwCfmP9E3AXRGx
  hBzC+lUXmQ+QO8Qurn4fXxN66n2THk9uVnmC3Pz2Q1qbFw4Afh15vKifkJtUZpP7MLVvWkzA76pl
  Z5E795+fUmrfn+nqaB1T6dWImA6rm8aOJPdBuxtYQu5MvANVJ+XqG/ilwOXV/F+SmyaOTCmtqNnH
  KVU5Xq7KvYh8M8LC6oJyOPCNqiav5ecRch+1tdV2fRT4VkppUe265CbZ2vXqHuN6Gg/8Z0qpqd0+
  r6bji/iN5H5ute93V4xvtKHbSMBLEfEq8HvgGODklNKkDdxHy3ZfIR/3QbQdVmP1NlNKL5D7Gr0B
  PFit8wg50LS/wHdUnjbTqnPvm+SgexK5Ce8H7d6v/wS2IB8z7dZ/lXwHZ23N3FLgiup4FlVl+1D1
  +SMifhYRLWG1gdyEuYTc3+9+Wr+EdPh6pjz8xVjyZ2oR+bP0D7Reu9of5zTyUBc7AT+vmf4wOWRe
  Hbmv4ExqPg/tytqy3QeAp8mf9cuq/mRU+z+9el++TWsYq12XlNI88t+Li6KLB3DVpitSWvvfj8ht
  4/cDe6aUlkfETeSL2d7ACymlyyLiImBgSuniyLfsXk++GA4jN6nsnta1I6kLRcQfgA+nlJ7q7rJI
  kgSdq+l6hdxstHXVT6YfualiLLnKmup3Sx+EE8kDP66svvHMonO340tdIvJt4JMMXJKknmSdoatq
  9rmC3CeliTxo3z3AkNQ6KN4C8nhCkO/0qb37rIm2d6ZJG1VKaUVKqf1glm8Z0fbfwNQ2Eb6y7rXX
  ut1L6mz3lYj4n3WvvfF1dMyR78Tr7rKd1kH5HuvusknqOdY5YGLVkfPvybfcLgF+WHVAbt9caPOh
  VEBK6UFyZ96u3u7XyGMv9UgppS4/5q6SUrqBth23JWkNnRml+j3AQy132UTEj8l3sSyMiCFVx98G
  8v9bg1yzVXur7TDaDgdAtR1DmiRJ2mSklDbov2R0pk/XDPJ4Mn0jIsi3wT4B3E7r/1c7g/wvTKim
  j6vucHw7sBtQdyDClJI/7X6+9KUvdXsZeuKPr4uvi6+Jr4uvi69Ld/50hXXWdKWUfhcR/wU8TB5X
  5VHyvz3YFri5uhV2DnlwRFJKT0TEzeRgtoL8n+6t1ZIkSZu1Tv0T3JTHHmo/AvCL5DFI6i3fo/uG
  SJIkleaI9D1MY2NjdxehR/J1qc/XZU2+JvX5utTn61Kfr8vGsc7BUTfajiNsdZQkSZuEiCAV6Egv
  SZKkDWTokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIk
  SSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJU
  gKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBD
  lyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5J
  kqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJ
  BRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgow
  dEmSJBXQu7sLUE9DwygWLpzT3cXocYYMGcmCBbO7uxiStFkYMaKBefMWdncxepzhw4cwd+6C7i7G
  JilSSt2z44jU0b4jAuiecvVsQXe9X5K0uYkI7r+/u0vR8xx2GJvltSgiSCnFhmxjnc2LEbFHRDwa
  EY9Uv5dExGciYmBE3BURMyLizojYrmadSyJiVkQ8GRFHb0gBJUmS3grWGbpSSjNTSvullN4N7A/8
  GfgxcDFwT0ppNHAfcAlAROwNnALsBRwLXBO56kqSJGmz9WY70h8JPJNSmgeMBSZV0ycBJ1WPTwQm
  p5RWppRmA7OAA7ugrJIkSZusNxu6PgLcUD0eklJaCJBSWgAMrqYPBebVrNNUTZMkSdpsdTp0RUQf
  ci3WD6tJ7XvRbX696iRJkjrpzQwZcSzwcEppcfV8YUQMSSktjIgG4PlqehMwvGa9YdW0NUyYMGH1
  48bGRhobG99EcSRJkjaOqVOnMnXq1C7dZqeHjIiIG4EpKaVJ1fOJwIsppYkRcREwMKV0cdWR/nrg
  IHKz4t3A7u3Hh3DIiPXhkBGSVIpDRtTnkBHrr1M1XRHxNnIn+nNqJk8Ebo6IM4E55DsWSSk9ERE3
  A08AK4BPdpiuJEmSNhMOjrpJsaZLkkqxpqs+a7rWn/97UZIkqQBDlyRJUgGGLkmSpAIMXZIkSQUY
  uiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJ
  kiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJ
  KsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSA
  oUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOX
  JElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmS
  pAJ6d3cB1mbMGLjySujVC667Di67rO38Cy+E00+HlKBPH9hrL9hxR1iyBP70p/y7uRlWrICDDsrr
  TJwIJ5wAy5bBM8/Axz4Gr75a/tgkSR2b8vQULphyAc2pmbP2O4uLDrmozfzLf3E51z92PUGwonkF
  Ty56ksWfX0y/3v34q+//FctXLWf5quWMHT2Wrx7xVQBueeIWJkydwJOLn2T62dN5907vXmc5pk2D
  q6/O15njjoNTT207f8kS+OpX4YUX8vXmlFPgmGNg+XI4/3xYuTJfgw4+GM4+O68zaRLccQcMHJif
  f/zjcOCB635Ntp8Gu10NJHjuOJjXrizDb4LB9wABsRK2ngMP3QYrt4EtXoPRl8PWf8rzn/o8vLo3
  DHoARn0f3jYXHv53eG2PdZdD6y9SSt2z44jU0b4jgojEzJlwxBHw7LMwfTqMGwczZtTf3vHHwwUX
  wFFH5efPPAP77w8vv9x2uSOOgPvuyx+gr30t/7700i48sI0q6K73S5JKaU7N7HHVHtw7/l523nZn
  Drj2ACafPJk9d9yz7vJ3zLyDK391JfeMvweApSuW8rY+b2NV8yoO/s+DueLoKzh4xMHMWDyDXtGL
  T9zxCS4/+vJ1hq6IYOed4Yor8hf6c8+FL34RRoxoXWbSpBywzj47B7Dx4+FHP4IttoA33oC+fWHV
  Kvj0p+Hv/g723Tev069fDmidf1HgoI/Cb6+A5TvC/ufCE1+EpSPqL77DL2HYLfC7K/LzPb8OL78T
  FhwLsQp6vQGrtoZ+c4FesMe/wjPndi50HXYYm+W1KCJIKcWGbKPHNi8eeCDMmgVz5+ZvCpMnw9ix
  HS9/6qlw442tzyNyDVl7996bgxbAr34Fw4Z1bbklSRtmWtM0dt9hd0YOGEmfLfowbp9x3PbUbR0u
  f+PjN3LqPq3VPm/r8zYAlq1aRnNqZmC/XKU0esfR7L7D7iQ6HxiGDYOGBujdGw4/HB56qO38gQNh
  6dL8eOlS6N8/By7IgQtyTVdKsO22nd7tGvo/BUuHwbIGSL3h+cNhh4c6Xn7wvbDw8Px4iz/Ddo/l
  wAWQtsiBC+D1EfD6MHgTL4k2QI8NXUOHwrx5rc/nz8/T6unbN1fn3npr67SU4O67c9Xwxz9ef70z
  z4Sf/7zryixJ2nBNrzQxvP/w1c+H9R9G06tNdZd9fcXrTHl6Ch/e+8OrpzWnZvb79n40XN5A46hG
  9h6093qXZdCgto8XLWo7/wMfgNmz4eST87XmU59qndfcnGvAPvxheOc7YdSo1nk//nFe/l/+BV57
  bd3l2HIRLKspy7JBsNWi+sv2WgbbT4fFh+bnfZ+DFf1h9ETY/xzY4/K8jMrrsaHrzTjhBHjwwVy1
  2+Lgg3Pz4nHHwXnn5ee1Lr00f/uorR2TJG1afjrzpxwy4hAG9B2welqv6MWjn3iU+Z+dz//O+V8e
  mP3ARtv/DTfArrvCLbfAd74D3/wmvP56VY5ecO21cPPN8Pvfw29/m6ePHZvX++53Yfvt4ZprurZM
  O/wCluyT+3JBbk7cZhY8exI8/B1o7gsjbujafapzemzoampq224+bFieVs+4cWuGpwUL8u/Fi/M3
  itpOimeckcPYaad1bZklSRtuaP+hzF0yd/Xz+a/MZ+i29Zs6Jj8+uU3TYq3+W/Xn+N2P5zfP/ma9
  y/L8862PFy1qW/MF8PjjcGhVozR0aG6KnDu37TJbbw3vfS/MnJmfDxiQu8BA7o/cUV/lWssHQd+a
  smzVruar1uD74fkjWp8vGwTLBsOro6vjODSHMJXXY0PX9Omw2245ePXpk4PV7bevuVz//vmEv62m
  ub9fv3ySA7ztbXD00fmDAfmOyM99Dk48MXd+lCT1LAfsfABPv/g0c16ew/JVy5n8+GROHH3iGsst
  eWMJD8x5gLGjWzv8Ll66mCVv5GaP11e8zt1/vJt3NbxrjXU72xG8qSl/iV+xIt+E9b73tZ0/YgQ8
  8kh+/OKLuSvMTjvllpeWZsNly+Dhh3ONWMtyLf7v/9o2O3bkldHQrwm2WgCxAgbfBy+8b83ltngN
  BvwOFte07qzYPgevflWXnQGPwNKRdXZiv66NrkfevdjQMIqFC+cwZswYvvnNb9KrVy+uu+46Jk6c
  yDnnnENKiWuvvRaA8ePHM2bMGE4//fTV648aNYof//jHpJTo3bs3119/PRMnTgRg5syZbLnllrzw
  wgsA/OpXv+K8887byEfbNYYMGcmCBbO7uxiStNFNeXoK5085f/WQERcfcjHf/s23iQjO2f8cACb9
  dhJ3PnMnN3y4ta3ssYWPccZPziCRaE7NfPQdH+Uf3vcPAPzkqZ/w6Z9/msVLFzOg7wDe1fAufn56
  xx17R4xoYN68hRv3QN+EMcA3ybUl1wETgXPIWenaapnx1XKnt1v3HcB3gT7AH4GPAa8AY4GrgB2B
  l4HfAsetoxzDhw9h7twFG3g0m56uuHuxR4YuSZKknuQtPWSEJEnSW0mnQldEbBcRP4yIJyPiDxFx
  UEQMjIi7ImJGRNwZEdvVLH9JRMyqlj964xVfkiRp09DZmq5vAj9LKe0FvBN4CrgYuCelNBq4D7gE
  ICL2Bk4B9gKOBa6JiA2qjpMkSdrUrTN0RUR/4P0ppe8BpJRWppSWkPvfTaoWmwScVD0+EZhcLTcb
  mAV04r9KSZIkvXV1pqbr7cDiiPheRDwSEd+JiLcBQ1JKCwFSSguAwdXyQ4GaseRpqqZJkiRttnp3
  cpl3A+ellH4TEd8gNy22v/XwTd+KOGHChNWPGxsbaWxsfLObkCRJ6nJTp05l6tSpXbrNdQ4ZERFD
  gF+mlHapnh9CDl27Ao0ppYUR0QDcn1LaKyIuBlJKaWK1/BTgSymlX7fbrkNGSJKkTUKRISOqJsR5
  EbFHNekI4A/A7cDfVtPOAFrGhL8dGBcRW0bE24HdgGkbUkhJkqRNXWeaFwE+A1wfEbWD2W4B3BwR
  ZwJzyHcsklJ6IiJuBp4AVgCftEpLkiRt7hyRXpIkaR0ckV6SJGkTYeiSJEkqwNAlSZJUgKFLkiSp
  AEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGG
  LkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2S
  JEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmS
  CjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg
  6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAl
  SZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKqB3dxegnoaGUSxc
  OKe7i9HjDBkykgULZnd3MXqchmENLGxa2N3F6HGGDB3CgvkLursYPYrnSn2eK/WNGNHAvHmeL+0N
  Hz6EuXM9X9ZHpJS6Z8cRqaN9RwTQPeXq2YLuer96soiACd1dih5oAp4v7XiudGCC50o9EcH993d3
  KXqeww7bPM+XiCClFBuyjU41L0bE7Ij4XUQ8GhHTqmkDI+KuiJgREXdGxHY1y18SEbMi4smIOHpD
  CihJkvRW0Nk+Xc1AY0ppv5TSgdW0i4F7UkqjgfuASwAiYm/gFGAv4FjgmshVV5IkSZutzoauqLPs
  WGBS9XgScFL1+ERgckppZUppNjALOBBJkqTNWGdDVwLujojpEfHxatqQlNJCgJTSAmBwNX0oMK9m
  3aZqmiRJ0mars3cvHpxSei4iBgF3RcQM1uzpvvn1qpMkSeqkToWulNJz1e9FEfETcnPhwogYklJa
  GBENwPPV4k3A8JrVh1XT1jBhwoTVjxsbG2lsbHyz5ZckSepyU6dOZerUqV26zXUOGRERbwN6pZRe
  i4itgbutSlU6AAAgAElEQVSAfwSOAF5MKU2MiIuAgSmli6uO9NcDB5GbFe8Gdm8/PoRDRqwPh4yo
  x2EAOjBh87yte208VzowwXOlHoeMqM8hI9ZfZ2q6hgA/johULX99SumuiPgNcHNEnAnMId+xSErp
  iYi4GXgCWAF8ssN0JUmStJlYZ+hKKf0JeFed6S8CR3awzteAr21w6SRJkt4i/N+LkiRJBRi6JEmS
  CjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg
  6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAl
  SZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5Ik
  qQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIB
  hi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxd
  kiRJBRi6JEmSCjB0SZIkFdC7uwuwNmPGwJVXQq9ecN11cNllbedfeCGcfjqkBH36wF57wY47wpIl
  8JnPwMc/npf77nfh3/4tP544EU44AZYtg2eegY99DF59texxqeuN2XUMVx5zJb2iF9c9eh2XPdT2
  ZLnwLy/k9H1PJ5Ho06sPew3aix0v25HBWw/mppNvIpEIgl0G7sIX7v8CV027ihs/fCN77LAHAAP7
  DuSlN15i/+/s3x2Hpy7m+dLzTXl6ChdMuYDm1MxZ+53FRYdc1Gb+5b+4nOsfu54gWNG8gicXPcni
  zy9mQN8BjLpyFNv13Y5e0Ys+vfow7expAExvms55PzuPFc0r6NOrD9ccfw3v2fk9ay3HtGlw9dX5
  OnPccXDqqW3nL1kCX/0qvPACNDfDKafAMce0zm9uhnPPhUGD4CtfydMeeAC+/32YOxf+/d9hjz06
  95psPw12uxpI8NxxMK9dWYbfBIPvAQJiJWw9Bx66DVZuA1u8BqMvh63/lOc/9Xl4dW8YOQl2vgOW
  D8zb+NPH4cUDO1cevXmRUuqeHUekjvYdEUQkZs6EI46AZ5+F6dNh3DiYMaP+9o4/Hi64AI46Cvbe
  G268EQ44AFauhClT4BOfgD/9KW/vvvvyB+hrX8u/L710Ix5olwq66/3qyXr16sXMxTM54r+O4NlX
  n2X62dMZd8s4ZrxQ/2Q5fvfjueC9F3DUD45qMz0I5n92Pgd99yDmvzK/zbx/OepfePmNl/nK/31l
  ox1Hl5uA50s7EUFMCGZ+2vOljQk961xpTs3scdUe3Dv+XnbedmcOuPYAJp88mT133LPu8nfMvIMr
  f3Ul94y/B4BdvrkLD5/zMAP7DWyz3GGTDuOSQy7h6F2P5uezfs5lv7iM+8+4v8NyRAQ77wxXXJG/
  0J97LnzxizBiROsykybB8uVw9tk5gI0fDz/6EWyxRZ7/wx/CzJmwdGlr6Jo7N1cm/Ou/5m12KnQ1
  w0Efhd9eAct3hP3PhSe+CEtH1F98h1/CsFvgd1fk53t+HV5+Jyw4FmIV9HoDVm2dQ9eqfjD/lE6U
  oXLYYT3rfCklIkgpxYZso8c2Lx54IMyalU/OlSth8mQYO7bj5U89NQctyDVev/51/iA0N+dvFR/6
  UJ537705aAH86lcwbNjGPQ5tfAceeCCzXpjF3CVzWdm8ksmPT2bsnh2fLKfucyo3Pn7jGtOP3OVI
  nnnxmTUuoACn/MUpddfRpufAoZ4vPd20pmnsvsPujBwwkj5b9GHcPuO47anbOlz+xsdv5NR9Wqt9
  Eonm1LzGcjttsxNL3lgCwMtvvMzQbYeusyzDhkFDA/TuDYcfDg891Hb+wIE5UEH+3b9/a+BatChf
  i44/vu06I0bk7b6Z3NL/KVg6DJY1QOoNzx8OOzzU8fKD74WFh+fHW/wZtnssBy6AtEUOXCqvx4au
  oUNh3rzW5/Pn52n19O2bq3NvvTU/f/xxeP/7YcAA6NcvVwkPH77memeeCT//edeXXWUNHTqUea+0
  nizzX5nf4R/Tvr37csxux3DrE7euMe8j+3yk7oXykBGHsOC1BfzxpT92XaHVbYb293zp6ZpeaWJ4
  /9Y/2sP6D6Pp1aa6y76+4nWmPD2FD+/94dXTguCoHxzFAdcewLUPX7t6+teP/DqfveuzjPjGCD5/
  z+f52hFfW2dZBg1q+3jRorbzP/ABmD0bTj45d2n51Kda533rW7kmqytsuQiW1ZRl2SDYalH9ZXst
  g+2nw+JD8/O+z8GK/jB6Iux/DuxxeV6mxdAfw3s+DqP/JTdDauPpsaHrzTjhBHjwwVy1C7kJcuJE
  uPtu+NnP4NFHYdWqtutceimsWNFaO6bNwwl7nMCDcx9kybIlbab37tWbE/c4kR8+8cM11umopkNv
  fZ4vPd9PZ/6UQ0YcwoC+A1ZPe+jMh3jkE4/ws9N+xremf4sH5z4IwFm3n8VVx17F3L+fyzfGfIMz
  bz9zg/d/ww2w665wyy3wne/AN78Jr78Ov/xlrgXbbbe8XMnWuB1+AUv2yX25IDcnbjMLnj0JHv4O
  NPeFETfkec+OhV/fAL/5LizfHna7plw5N0c9NnQ1NbVtNx82LE+rZ9y4NcPT97+f+3Qddhi8/HJu
  U29xxhm59uu007q82OoGTU1NjNiu9WRZ27ficfuMq3tBPHa3Y3n4uYdZvHRxm+m9ohcf2utD3PT4
  TV1baHWbplc8X3q6of2HMnfJ3NXP11YbOfnxyW2aFgF22nYnAAZtPYgP7vlBpjXljvS/nv9rTtrz
  JABO3vvk1dPX5vnnWx8vWtS25gtyy8qhVY3S0KG5KXLu3Dz9F7/I15kvfzl/+f/qV9e5uw4tHwR9
  a8qyVbuar1qD74fnj2h9vmwQLBsMr46ujuPQHMIAVgwAql5Kzx4P23bQb1pdo8eGrunT8zeEESPy
  nYnjxsHtt6+5XP/++YS/rV1z/4475t/Dh8MHP5i/jUC+I/Jzn4MTT8x9vrTpmz59OrttvxsjthtB
  n165/8ftM9Y8Wfpv1Z9DRx7KbTPW7BvSUe3EUbscxZOLnuS5157bKGVXedOf9Xzp6Q7Y+QCefvFp
  5rw8h+WrljP58cmcOPrENZZb8sYSHpjzAGNHt/bJW7piKa8tz21kf17+Z+76413sO3hfAHbfYXce
  mP0AAPf+8d7Vd5uuTVMTLFiQW0buuw/e976280eMgEceyY9ffDF3hdlpp9yx/qab8rXnC1+Ad7+7
  /k1bna0Be2U09GuCrRZArIDB98EL71tzuS1egwG/g8UHt05bsX0OXv2qVvUBj8DSkfnxli+2Ljfo
  /+DPozpXHq2fHjtkRHNzbhu/667WISOeegrOOSefpNdWzfQnnQR33glvvNF2/Vtvhe23zx+UT36y
  dViIq66CLbfMTY+QO9Ofd16541LXa25u5lM/+xR3/c1dq4cAeGrxU5yz/zmklLj2kXyynLTnSdz5
  zJ28sbLtydKvdz+O3OVIzrnjnDW2/ZG/qN9vR5uu5uT50tNt0WsLrj7uao7+76NXDxmx16C9+PZv
  vk1EcM7++bX/yVM/YcyuY+jXp9/qdRe+tpAP3vRBIoKVzSs5fd/TOWrXfOfptz/wbc772XksX7Wc
  vr378p0PfGedZTn/fPj85/M16bjjYOTIXAEQkbu2nH567s5y1ll5+U98IlcGrM2DD+ZhjJYsyUFs
  t93yNtb+osCs8+GdnweaYcFxOTjtdDsQ8NwJebEdH4QX3wPNW7VdfdanYa+vQK+V8PrOecgIgF3+
  A7Z5Jm/jjQaY8dl1viTaAD1yyIiGhlEsXDincIl6viFDRrJgwezuLkaP0zCsgYVNC7u7GD3OkKFD
  WDB/QXcXo0fxXKnPc6W+ESMamDfP86W94cOHMHfu5ne+dMWQET0ydEmSJPUkRcfpioheEfFIRNxe
  PR8YEXdFxIyIuDMitqtZ9pKImBURT0bE0RtSQEmSpLeCN9OR/nzgiZrnFwP3pJRGA/cBlwBExN7A
  KcBewLHANRGxQclQkiRpU9ep0BURw4DjgO/WTB4LTKoeTwJOqh6fCExOKa1MKc0GZgH+JydJkrRZ
  62xN1zeAzwG1nbCGpJQWAqSUFgCDq+lDgZqx5GmqpkmSJG221hm6IuJ4YGFK6besHkKtLnvFS5Ik
  daAz43QdDJwYEccB/YBtI+IHwIKIGJJSWhgRDUDLWLlNQO1/OhxWTVvDhAkTVj9ubGyksbHxTR+A
  JElSV5s6dSpTp07t0m2+qSEjIuJQ4MKU0okRcRnwQkppYkRcBAxMKV1cdaS/HjiI3Kx4N7B7+/Eh
  HDJCkiRtKrpiyIgNGZH+68DNEXEmMId8xyIppSci4mbynY4rgE+ariRJ0ubOwVElSZLWoejgqJIk
  SVp/hi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKk
  AgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUY
  uiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJ
  kiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJ
  KsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSA
  oUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOX
  JElSAYYuSZKkAgxdkiRJBfTu7gLU09AwioUL53R3MXqcIUNGsmDB7O4uRo8zqqGBOQsXdncxepyR
  Q4Ywe8GC7i5Gj+K5Up/nSn0jRjQwb57nS3vDhw9h7lzPl/URKaXu2XFE6mjfEQF0T7l6tqC73q+e
  LCI8W+oI8Hxpx3OlPs+V+iKC++/v7lL0PIcdtnmeLxFBSik2ZBvrbF6MiK0i4tcR8WhE/CEivlpN
  HxgRd0XEjIi4MyK2q1nnkoiYFRFPRsTRG1JASZKkt4J1hq6U0jLgsJTSfsA7gMMj4mDgYuCelNJo
  4D7gEoCI2Bs4BdgLOBa4JnLVlSRJ0marUx3pU0pLq4dbVeu8BIwFJlXTJwEnVY9PBCanlFamlGYD
  s4ADu6rAkiRJm6JOha6I6BURjwILgKkppSeAISmlhQAppQXA4GrxocC8mtWbqmmSJEmbrU7dvZhS
  agb2i4j+wJ0R0ciaPd03v151kiRJnfSmhoxIKb0SET8D3gMsjIghKaWFEdEAPF8t1gQMr1ltWDVt
  DRMmTFj9uLGxkcbGxjdTHEmSpI1i6tSpTJ06tUu3uc4hIyJiR2BFSmlJRPQD7gT+ETgaeDGlNDEi
  LgIGppQurjrSXw8cRG5WvBvYvf34EA4ZsT4cMqIehwGoz2EA1uS5Up/nSn0OGVGfQ0asv87UdO0E
  TKruQOwF/CCldG/Vx+vmiDgTmEO+Y5GU0hMRcTPwBLAC+GSH6UqSJGkz4eComxRruuqx9qI+ay/W
  5LlSn+dKfdZ01WdN1/rzfy9KkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJ
  BRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgow
  dEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiS
  JEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmS
  VIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkA
  Q5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUQI8OXWPGwJNPwowZ8PnP
  rzn/wgvhkUfg4Yfh97+HFStgu+1g991bpz/yCLz8Mnz6023X/exnYdUqGDiwzLFo45oC7AnsAUys
  M/9yYD/g3cC+QG/gZWBmzfT9gO2Af6vWuQXYB9gCeGQjll3leb6os6ZNg/Hj4aMfhRtvXHP+kiVw
  0UXw8Y/DmWfClCmt88aNg7POgrPPhr/7u3JlVs8VKaXu2XFE6mjfEUFEYuZMOOIIePZZmD49n8Az
  ZtTf3vHHwwUXwFFHtd8WzJ8PBx2UfwMMHQrf/S6MHg377w8vvdSFB7ZRBd31fvVkEcGuwL3AzsAB
  wGTyRbWeO4ArgXvaTW8GhgHTqt8zyN9KPkG+CL+7y0u+cQV4vrQTEawihy3Pl1aeK/VFBDvvDFdc
  ATvuCOeeC1/8IowY0brMpEmwfHkOVkuW5ID2ox/BFlvAaafBt78N227bfcewMRx22OZ5vkQEKaXY
  kG302JquAw+EWbNg7lxYuRImT4axYzte/tRT638LOfJIeOaZ1sAF8I1vwOc+1/VlVvfZHRgJ9AHG
  AbetZdkbgVPrTL8H2JV8AQUYXW138/vT8tY2Dc8Xdd6wYdDQAL17w+GHw0MPtZ0/cCAsXZofL10K
  /fvnwAWQEjQ3ly2verYeG7qGDoV581qfz5+fp9XTty8ccwzceuua8z7ykbZh7IQT8nYff7xry6vu
  Nbzm8TCgqYPlXic3LX24zrybqH9x1VtLE54v6rxBg9o+XrSo7fwPfABmz4aTT85NjJ/6VOu8iPwF
  /9xz4Y47ihRXPVzv7i5AVzjhBHjwwVy1W6t3bzjxRLj44vy8b1+49NK2TZCxQRWF2tT8FDgEGNBu
  +grgduDrxUuknszzRetyww2w6665BaWpKYes666Dfv3gqqtghx1yv+J/+AcYORL23be7S6zu1GNr
  upqa2rabDxuWp9Uzblz9psVjj82d6Rcvzs933RVGjYLf/Q7++Me8zYcfbvtNRpumuTWP5wMdVIoy
  mfq1Ez8H9gc8Fd76huL5os57/vnWx4sWrXm9ePxxOPTQ/Hjo0NwUObc6wXbYIf8eMADe//58Y5g2
  bz02dE2fDrvtloNXnz45WN1++5rL9e+fT/jb6nTKaN/P6w9/gJ12yuFrl11yk+V++61ZXaxNz9PA
  HGA5+UJ5Yp1llgAPAPW6BnbUb6eF/XTeOg7A80Wd19QECxbku+Pvuw/e976280eMyHfJA7z4Yr6u
  7LQTvPEGvP56nv766/ma9va3ly27eqCUUrf85F3XN2TIyASkMWPGpKeeeirNnDkzXXTRRQlI55xz
  Tjr77LMT+e9aGj9+fLr++utXP2/56devX3r++efTNttss8a8lp9nnnkmDRw4sMP5Pe1nyJCRHb5m
  m7ORQ4Z0+3vTE39GDhnS3W9Nj+O54rnyZgwf7vlS72f48M3zfAFS2sDs0yOHjJAkSepJ3tJDRkiS
  JL2VrDN0RcSwiLgvIv4QEY9FxGeq6QMj4q6ImBERd0bEdjXrXBIRsyLiyYg4emMegCRJ0qZgnc2L
  EdEANKSUfhsR2wAPk/uWfgx4IaV0WURcBAxMKV0cEXsD15P7qw4jjyG4e/u2RJsXJUnSpqJI82JK
  aUFK6bfV49eAJ8lhaiwwqVpsEnBS9fhEYHJKaWVKaTYwCzhwQwopSZK0qXtTfboiYhTwLuBXwJCU
  0kLIwQwYXC02FKgZS54mOh4GR5IkabPQ6RHpq6bFW4DzU0qvRUT7tsE33VY4YcKE1Y8bGxtpbGx8
  s5uQJEnqclOnTmXq1Kldus1ODRkREb2BO4Cfp5S+WU17EmhMKS2s+n3dn1LaKyIuJo9lMbFabgrw
  pZTSr9tt0z5dkiRpk1ByyIj/BJ5oCVyV24G/rR6fAdxWM31cRGwZEW8HdgOmbUghJUmSNnWduXvx
  YOB/gcdoHZH2UnKQuhkYTv6PGqeklF6u1rkEOIv8f2HPTyndVWe71nRJkqRNQlfUdDkivSRJ0jo4
  Ir0kSdImwtAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQ
  JUmSVIChS5IkqQBDlyRJUgGGLkmSpAIMXZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuS
  JKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLokSZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElS
  AYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIkFWDokiRJKsDQJUmSVIChS5IkqQBDlyRJUgGGLkmSpAIM
  XZIkSQUYuiRJkgowdEmSJBVg6JIkSSrA0CVJklSAoUuSJKkAQ5ckSVIBhi5JkqQCDF2SJEkFGLok
  SZIKMHRJkiQVYOiSJEkqwNAlSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0SZIk
  FWDokiRJKsDQJUmSVEDv7i5APQ0No1i4cE53F6PHGTJkJAsWzO7uYkjSZmHEiAbmzVvY3cXocYYP
  H8LcuQu6uxibpEgpdc+OI1JH+44IoHvK1bMF3fV+SdLmJiK4//7uLkXPc9hhbJbXooggpRQbso11
  Ni9GxHURsTAifl8zbWBE3BURMyLizojYrmbeJRExKyKejIijN6RwkiRJbxWd6dP1PWBMu2kXA/ek
  lEYD9wGXAETE3sApwF7AscA1kautJEmSNmvrDF0ppQeBl9pNHgtMqh5PAk6qHp8ITE4prUwpzQZm
  AQd2TVElSZI2Xet79+LglNJCgJTSAmBwNX0oMK9muaZqmiRJ0matq4aM2Px61EmSJL0J6ztkxMKI
  GJJSWhgRDcDz1fQmYHjNcsOqaXVNmDBh9ePGxkYaGxvXsziSJEldZ+rUqUydOrVLt9mpISMiYhTw
  05TSvtXzicCLKaWJEXERMDCldHHVkf564CBys+LdwO71xoZwyIj14ZARklSKQ0bU55AR62+dNV0R
  cQPQCOwQEXOBLwFfB34YEWcCc8h3LJJSeiIibgaeAFYAn+wwWUmSJG1GHBx1k/L/27vTGKvKO47j
  37/gAlIobqDggLtpY2rVqCk11h0X0BcmMhq17iZ1q1ZRjNpoNPWFMSY1TVRqia3SoLbSpFHqQuIu
  ZRFFBCpBNkGMiGnVqvD0xXMmc4cZbFpnnjvM+X6SyT33OXfmnvvzMvO7z1l0pkuSSnGmq2vOdP3/
  /H8vSpIkFWDpkiRJKsDSJUmSVIClS5IkqQBLlyRJUgGWLkmSpAIsXZIkSQVYuiRJkgqwdEmSJBVg
  6ZIkSSrA0iVJklSApUuSJKkAS5ckSVIBli5JkqQCLF2SJEkFWLokSZIKsHRJkiQVYOmSJEkqwNIl
  SZJUgKVLkiSpAEuXJElSAZYuSZKkAixdkiRJBVi6JEmSCrB0SZIkFWDpkiRJKsDSJUmSVIClS5Ik
  qQBLlyRJUgGWLkmSpAIsXZIkSQVYuiRJkgqwdEmSJBVg6ZIkSSrA0iVJklSApUuSJKkAS5ckSVIB
  li5JkqQCLF2SJEkFWLokSZIKsHRJkiQVYOmSJEkqwNIlSZJUgKVLkiSpAEuXJElSAZYuSZKkAixd
  kiRJBVi6JEmSCrB0SZIkFWDpkiRJKsDSJUmSVECvLl0nnQQLF8KiRXDDDZ3XX3cdzJkDs2fD/Pnw
  1VcwZAjst1/7+Jw58MkncOWVHb/32mth40YYOrTMa5EkbX3eeAPOOw/OPRcee6zz+g0bYOJEuPhi
  uPBCePrpjus3bYJLL4Wbb24fu/32PHbppdDamm9VD5FSas4TR6QtPXdEEJFYvBiOOw5Wr4ZZs2DC
  hFzAunLqqXDNNXDCCZv/LFi5Eo44It8CjBgBDz0EBxwAhx4K69d34wvrUUGz/ntJUt1EBHvsAffc
  A7vsApdfDrfeCi0t7Y+ZMgW+/BIuuSQXsPPOgyefhH798vpp02DxYvjsM7jzzs7P8ZvfwKBBudRt
  LY45hlr+LYoIUkrxbX5Gr53pOvxwWLIEli+Hr7+GqVPh9NO3/PjW1q4/hRx/PLz3XnvhArj3Xrj+
  +u7fZklS3zJyJAwfDv37w7HHwssvd1w/dGguVJBvBw9uL1zr1sHrr+dJgS2ZOTP/XNVDry1dI0bA
  ihXt91euzGNd2WEHGDsWnnii87qzzupYxsaNyz/37be7d3slSX3Prrt2XF63ruP6006DZcvgzDPz
  LsYrrmhfd//9eXZsS+bPh5122vLfNvU9vbZ0/S/GjYOXXspTu43694fx4/P0LuRyNmkS3HZb+2Pi
  W00USpLq7NFHYZ994PHH4YEH4L774PPP4dVX8yzYvvvmx3W1N+6555zlqpteW7pWreq433zkyDzW
  lQkTut61ePLJ+WD6jz7K9/fZB0aPhjffhKVL88+cPbvjJxlJktp8+GH78rp1nf9evP02HH10Xh4x
  Iu+KXL48j7/yCpx9NtxxB8ydC3fd1f59GzfCiy/m46NUH/2bvQFbMmtW/oTQ0gIffJCLVWtr58cN
  Hpzf8Oec03nd5sd5LVgAu+/efn/pUjjkkHx2oyRJm1u1CtasgZ13huefh1tu6bi+pSWfJX/QQfDx
  x/lQmN13zwfWX3JJfsy8eXmPy6RJ7d83ezaMGpUP0Fd99NrStWlT3jc+YwZssw1MngzvvptPrU0J
  HnwwP+6MM+CZZ+CLLzp+/4AB+SD6bzoVNyV3L0qStuzqq/MlizZtglNOyUVp+vT8t2PcuPyB/+67
  4aKL8uMvuyxPBvw3L7zgrsU66pWXjBg+fDRr175feIt6v2HDRrFmzbJmb4Yk1UJLy3BWrFjb7M3o
  dWcUFVcAAAVKSURBVPbccxjLl69p9mYU1x2XjOiVpUuSJKk36dXX6YqIsRHxbkQsjoiJPfU8kiRJ
  W4MeKV0RsQ3wa+Ak4PtAa0Qc2BPP1dfMnDmz2ZvQK5lL18ylMzPpmrl0zVy6Zi49o6dmug4HlqSU
  3k8pfQVMBb7hevJq4xu9a+bSNXPpzEy6Zi5dM5eumUvP6KnSNQJouJ48K6sxSZKkWuq1F0eVJEnq
  S3rk7MWIOBL4ZUppbHX/RiCllO5ueIynLkqSpK1Gr7xkRET0AxYBxwEfAG8ArSmlhd3+ZJIkSVuB
  HrkifUppY0RcAcwg78KcbOGSJEl11rSLo0qSJNVJUw6kr/OFUyNickSsjYj5DWNDI2JGRCyKiGci
  YkjDupsiYklELIyIE5uz1T0rIkZGxPMRsSAi3oqIq6rxuueyfUS8HhFzq2zuqsZrnQvkawFGxJyI
  mF7dN5OIZRHxZvV+eaMaM5eIIRExrXqdCyLiiLrnEhH7V++TOdXthoi4ylzipuo9Mj8i/hAR23V7
  Jimlol/kovcPYBSwLTAPOLD0djTrC/gxcDAwv2HsbuCGanki8Ktq+XvAXPJu4NFVbtHs19ADmQwH
  Dq6WB5GPBzyw7rlUr3VgddsPeA0YYy4J4OfA74Hp1X0zgaXA0M3GzAV+B1xQLfcHhphLh3y2AVYD
  e9Y5F3InWQpsV93/I3B+d2fSjJmuWl84NaX0ErB+s+HTgSnV8hTgjGp5PDA1pfR1SmkZsIScX5+S
  UlqTUppXLf8TWAiMpOa5AKSUPqsWtyf/clxPzXOJiJHAKcBDDcO1zqQSdN57UetcImIwcFRK6WGA
  6vVuoOa5bOZ44L2U0grqncunwJfAjhHRHxgArKKbM2lG6fLCqZ3tllJaC7mAALtV45tntYo+nlVE
  jCbPBL4GDKt7LtVutLnAGmBmSukdzOVe4Hqg8YDUumcCOY+/RcSsiLi4Gqt7LnsBH0XEw9WutAci
  YiDm0ugs4NFquba5pJTWA/cAy8mvb0NK6Vm6ORMvjto71fLshogYBDwOXF3NeG2eQ+1ySSltSin9
  kDzzd1RE/IQa5xIRpwJrq5nRb7peTm0yaTAmpXQIeRbwZxFxFDV+r1T6A4cA91fZ/Au4EXMBICK2
  Jc/YTKuGaptLROxNPmxhFLAHecbrHLo5k2aUrlVAS8P9kdVYna2NiGEAETEc+LAaX0Xez96mz2ZV
  Tec+DjySUnqqGq59Lm1SSp8CfwUOo965jAHGR8RS4DHg2Ih4BFhT40wASCl9UN2uA/5M3tVR5/cK
  5D0pK1JKf6/uP0EuYXXPpc3JwOyU0kfV/Trnchjwckrp45TSRuBPwI/o5kyaUbpmAftGxKiI2A6Y
  AExvwnY0U9DxU/p04KfV8vnAUw3jE6ozKPYC9iVfaLYv+i3wTkrpvoaxWucSEbu0nSkTEQOAE8gH
  btY2l5TSpJRSS0ppb/LvjudTSucCf6GmmQBExMBqppiI2BE4EXiLGr9XAKrdQisiYv9q6DhgATXP
  pUEr+cNLmzrnsgg4MiJ2iIggv1feobszadJZAmOrF7gEuLEZ29CsL/K+89XAv8n7ji8AhgLPVpnM
  AL7b8PibyGdFLARObPb291AmY4CN5DNZ5wJzqvfITjXP5aAqi7nAm8AvqvFa59LwWo+m/ezFWmdC
  Pnap7d/PW22/V+ueS/U6f0D+sD8PeJJ89qK5wEBgHfCdhrFa50I+VnQBMJ980Py23Z2JF0eVJEkq
  wAPpJUmSCrB0SZIkFWDpkiRJKsDSJUmSVIClS5IkqQBLlyRJUgGWLkmSpAIsXZIkSQX8B5JLgrjG
  5Q1xAAAAAElFTkSuQmCC
  ",
        "text/plain": [
         "<matplotlib.figure.Figure at 0x7f795d2667d0>"
        ]
       },
       "metadata": {},
       "output_type": "display_data"
      },
      {
       "name": "stdout",
       "output_type": "stream",
       "text": [
        "scores/DECODA_MINIAE_TANH_H50_DO.shelve
  "
       ]
      },
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
  AAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd4FFUXB+DfTSONJARCC5DQe1U6SARp0osKFmwoCqj4
  CYIoEEC6iihIkyZKkWoAKVIiRUqAEDqEQAIJENJ73T3fHyebTULKStYsSc77PPtkZ+buzN27m7N3
  bplRRAQhhBDFk5mpMyCEEOLJSRAXQohiTIK4EEIUYxLEhRCiGJMgLoQQxZgEcSGEKMYMCuJKqV5K
  qetKqZtKqYm5bHdSSm1XSvkppU4ppRoZP6tCCCFyKjCIK6XMACwG0BNAYwDDlVINciSbDMCXiJoD
  eBPAD8bOqBBCiMcZUhNvA8CfiIKIKA3AJgADcqRpBOAwABDRDQDuSikXo+ZUCCHEYwwJ4q4A7mVZ
  Ds5Yl5UfgMEAoJRqA6AGgGrGyKAQQoi8Gatjcy6Ackqp8wDGAPAFoDHSvoUQQuTBwoA0IeCatU61
  jHWZiCgOwDu6ZaXUHQC3c+5IKSUXahFCiCdARCq39YbUxH0A1FFKuSmlrAAMA+CVNYFSylEpZZnx
  /D0AfxNRfB4ZkQcRpk2bZvI8PC0PKQspCymP/B/5KbAmTkQapdRYAAcygv4qIrqmlBrFm2kFgIYA
  1imltACuAHi3oP0KIYQoPEOaU0BE+wDUz7FueZbnp3JuF/mLjQUePADCwoBmzXJP4+cHNGkCmJtn
  X3/2LJCYCHTuDPj6Aq1aFS4v168Dt28D9esDFSoAjo7ZtwcGAtbWQEQE0Lhx4Y4lhDAumbFpIrdv
  e2DUKOCVV/JOM2wYcOrU4+sHDQK6dAGuXQOeew4o4GyrQF9+CfTpA4weDWze/Pj2mjWBKlWAd/+j
  8ysPD4//ZsfFkJRFdlIeBZMgnod9+7imfPgw/9U5eBC4ezf316xdCxw7BgQE8PIvvwDp6cCWLUBq
  qj7dr78CCQkeuHMHePhQv/6334ANG4CEBA6m4eFcCwa4tvzPP8DGjfqaua8vp330iF8HALduAX//
  nXv+Dh3KfrwjR4CQED4rAIALF7Jvzym/bYUh/6h6UhbZSXkYoIgb56k4SEsjAoimTSOqWpXos894
  vUZD5OZGtGDB46+5dIlfU7Mm0TffEN28yctbt/Lfbds4XVAQkVJE5uZE9va8LTmZKDSUyNGRHx9/
  zOvNzIhmzeLXDRzI6wCi8uX573vv8d8NG4isrIi0WqKpU4kaNeLnOd9T5cpEEybo1/XvT7R0KdGz
  zxKVKcP7Gj368fdWtixvs7Z+fL9CiP9eRuzMNa4a1CZe0vn4ALNmAfPnA/Xqce0b4Fq3uTnXkOfO
  BU6cAIKCgG3bgLJlAQ8PYOJEbkPWtSPfuQOcPMmvAYAvvgBq1ADWrwfOnQM0Gg7FGg0QnzF+5+JF
  4LPPgH79eNsPGRct0Go5T5UqcZ6cnIDoaH5Ur841aVtbrnmnpvJ6Pz/g6lVg5Upg927AxQX4+Wd+
  L1ZWfBYwaxYwaRIQFcU1/ehobg+/eJFr22vXAk2b8vt99lluJ4+LA1JSuNaue687dwLOztykAwB7
  9nB+nn++CD40IQTLK7r/Fw88pTXxQYOInJyIfvyRl6dN41orQDRxIlHbtkR//kn0zjtEw4fz+rJl
  iUaMIHr/faL27bnWPGyYvsbq4cG1YoBoxw4iZ2eugSul34fuMWgQP6KiiCIjif76i6hcuexpWrQg
  unOHyMGByMaGqHVrXt+zJ1GDBvz82jUid3fev1Jc63Z2Jrp/n9ctXsxnFkuWcHp3d86ziwvRSy/x
  urZt+b3Pn8/Lw4Zxzf/vv4nq1CG6cUNfbsOHZ6+5v/km0eefF+EHJ0QpgXxq4qUuiI8ezU0UU6YQ
  9e1LFB/PzRpz5nAwnDaNmy7ef1/fVLF4MdGrr3JTx+3b/LddO26CCAwk2rSJA/nevRxgAQ5mhw8T
  NW3KTRDlyhHZ2hI1bkx08qQ+HcAB98SJ7Pls2FDfjGFuTtSrF6+vXZuoShVeBojmztXvx8uLj3Hz
  JlGFCvyj0LUrN5c4OhKFhxP17s1BW9dc064dkaUl0Zdf8rJSvK19e/77zjt8/LQ0oo4dOZjrdOjA
  63Q8PPjxzjsFfw7vvss/SlFRREOG6Ne/8QaX0b9x7Bh/bidO8PswxLffEu3apV9etIh/bEuipUuJ
  tmwxdS5EYUgQz6JmTQ50trb87k+f5uB9/Dgv29tzkNy9m5evXCG6cIHT16nD+0hI4HbssDD9flNS
  OFj/8w+/bskSXk5M5O0eHkRvvcXpiHifuuBbp87jbc3PP0/UowfRwYOc5s03eX3r1hzgX3uNqGJF
  ooAA/X4mT+b2cF1+iIg+/ZR/MEJCeHniRG4/r1mTX+PoyGcOK1bwfgEO+ubmXA7PPMNpiIgGDyZa
  s0afx6pV+YdGo+GHuzu/zs2Nt2s0RHFxuX8OFSsSHThAdPmy/kdCoyGqXp3zkJ5u2Oep0RD98AOX
  708/EbVpY9jr+vTh8tLp2pV/CAyl1fKxi4PXXzf8DKm4vCdDabV5fweLk/yCeKkanaLRAPfu8Rjr
  xERed/Qo4O4ONG8OPPMMD7WztQW6dgXatOE28oYNgbQ0oEULfo2tLVCmDLcV61hZAUrxvgD+qxRg
  Y8PLPXrwPq2seLlKFf7bti0wdiynzapyZaB8eR7ep1sGeJ2jI/91dwdq1eJ8NG8OnDmjP77uOB4e
  PDSwalX98ttvA7Vr83JMDGBpyeO/u3Xj9/zJJ1xWXbrwCBhnZ07bogW/duRI4KefePSMnR2Xab16
  3L6u0fB4cgCYOZP7Dm7dyv7eEhN5RE1EBLfHazTc5l+/Pre9m5np95GfH34A7O2B0FB+PHyoH81T
  kMBAfVoi7ksw5Jg6333H/SHFga58DNGhA4+CKim+/Za/gxcumDonep9/DqxaZbz9lZqOzZAQHu6X
  ns7Luk7Cv/8G3Nw4GJw9m/01p0/rnzdsyIGyIC4uHJDd3LKv/+KL7Mu6zsGvvgL69n18P5UqcV4r
  VdIvAxy8dX91xwgLA77+mjtBX389+3769+eHTq9e/HjlFcDBgTtE4+L4n7dDB07j68t/n3sO2LSJ
  ywYApkzh4ZLe3kBSEv8wVKvG5aYbVglwh+3t2/ryCwnhyUKurtzxe/Mmr4+I4H8wAJgxg4O9pSWX
  9Zkz/EPTsCFvf/iQf6wssnxj79/nfPj58fbQUP5xSErS/3iGh3P+ra31ryPiDmonJ/1+IiLyD+JR
  UcCVK/zc0pJ/ADZvBmbP5uWnhVbL5aCrJABcNmYGVNeI+D2uXq3/LhiDrkPcxUgXpw4O5v8fS8vs
  n2tu7tzhvz4++kqYKWg0/N2sUoW/e2ZmPHQ56+f0pEpNTbxPH2DePB518eGHPBrk+ef1Qbwg77wD
  9O5dcDoLC95/rVr5pytThr+AukCS0wsvcM3dzo6DUNaauJMT0KkTMCDLVd3r1eNgbMh7ybqf3NLr
  jtWwITBwIDBkSPZtAQFcs6lenV//xx8coF97TX9GUbs2sHcv/+NERPAPwp49/IOlK8eICD4TAHgk
  jJ0d/1hVrszvrUkT/Y/uG2/wcbIKD+e/e/ZwkNWN3w8K0qdxcQGmTcv+ushIHl+vS+fnxwEhvyC+
  YAHnYdIk/myOHOHj79uX92tM4fBhYPDg7Ot0ZykFiYri8t6+nX8IjWX7dp5IZizVq/NZ2+efF5w2
  NBRo354/Y1NavVp/NhwRwRWAATnvyvCESkUQT0nhGsby5dxs8NNPXAN+4QUOfLomiPx88gk3txhi
  yRJ9TTA/Tk55B/E+fXhmJsCBTVcTd3bm13TtykFTR1eb19WaC5JfENedTbi7Azt2ZA+CunzcvMm1
  CHd3Dq6DBvHwRd2ZAsBBuWVLrpXfucNDF3U1I4B/CHx8+HmLFvzPpgviRPzc35+3h4TozxDCw4FL
  l7g23LWrfsbqxYv8/nXBWddcovshiIvjGbBBQUCjRvwPnprK/+Dt2/MxTpwAkpN50tY///Brjx7l
  WtMXXwDHjwMdOwI3bvA/4bp1BZe1VstBH+BgqqvR/xcCAri8ddLT+Uwtv+aU27f5LCgwkCsDrVs/
  /oNZGKGhXLbGoPssQ0N54tvVq5z348f5c9LkuAD2w4dAz57/rjnl5En+rhiTLl/p6RzEAwOzf06F
  USqC+NWrHGwmTOA2XZ0BA7g9WjfOuajNnAnUqVNwuqlT9T8gAwcCr776eBpbWw6iWWvN+dEF8Z9+
  ArZuzb7NwgL48Ueu8eSkq6Xrmnrc3PhUuXNnXj9nDue1bFng+++5CeTIEX6fu3ZxkD11CnjvPf6B
  +P57bt755hveV+XKvN86dfiUXvfP9/Ch/vn27YCnJwdjXVNR+fIcKFq31gfvgwf5r27G7fr1HKwP
  HuS+CDc3DgAXLvCPwZUrwIgRwF9/8Y9oly6c56FD+YxN9wOla+p69VX+hy/I1at89qHVch6+/LLg
  1zypoCA+bdf1+YSH8+ccHv54gNP55htg/Hh+rbs78OabPNvYWCIijDfbNzyc526sX89nfy+9BLz1
  Fn9uL7/8eI07NJTPuK9fN2z/6elcIfHyKjjtv6Gbse3vrz/ji4jgM8LCKvFBfN06/qds04Yn7PTo
  od/WuDEHK9ec9ykqIiNHFtymB/AXVNeG3ry5PmDm9Npr+iBbEF0Hae3auQf+MWMev/AWkH3/us5X
  QB9MR47kdvLmzfl5+fJcQ3rhBT6LcHPjAJr1VNLDgztV3d31NfHmzfnxww9ce4+K4mBLxF/+Bw+4
  Q1V33CZN+G+bNtxmP3YsT0YaOJCD0549PNkK4Pb3N97g/fv56YM4wLWj48e5JuboyGdvYWH8w6B7
  r7oyaNyYt61ezc1Ca9dykElM5FP9v/7is4PvvuOzwUePOC9+fhxU9u837LMCuBy0Wv2ypyf/aOek
  OwsZPx44cICbe1xdOZD//vvj/T4rV/L73bMHWLiQP5+BA/nHycvr8Us4rF9vWCfp5s18mYcxY7jc
  Q0O5DMeOzd7RvXev/mwL4DL58MPsZziLF/PZEcA/Bo0b8w9oy5b8A3nmDDel5daB+/AhX2AuPj7v
  gJmaqp9gd/Ag78MYzS/79/MZG6AP3BcucHOeTtamv6NH9f1IsbH8vTJIXsNW/osHTDDEsEoVHlK3
  enWRH/qpFhXFwxz/rfXriSwseBjgzz8TJSXxOO2s3nmHh7UREa1cyWmXLuWJSbox4SdP6odGLlvG
  60JCiK5f58lJ167xcqdORJ6ePJyxdm0iHx++DIK9PQ9TJOLx+GfOEG3cSLRuHY91143DX7OGvwM1
  a/L6UaN47L9GQzRzJl96oEoV/aUWAD7WjBlEZ8/qx80DRH5+fLxvv+XlyEge/29vz8Ml3d15ktT6
  9Xz8QYOIxo/Xv/7kSR7aCBB98UX28fEFfVYA0a1bvBwezssNGz6etkMH/fGaNSOqVo3z0b+/fvho
  Vrq027fzEM2bN3n922/z/83LL2dPX706l01+kpN5nxUq6PcP8OQ4GxsuI53+/fWT7LRa/ow//pio
  bl1eFx/Pn8Hmzby8bx9R9+78fOHC7PsHsv+fx8frLxVRrx4PF87NmTP64cRffMFl1KNH/u+xIFot
  f+feeIOXx4zhz2vgQB5SCxDZ2RHt2aN/jW5eCBH/Tzk56YceozROu4+O5rawR4+4tjt0qKlzZHwp
  6SmwMreCyjk+0YDt+bXH58fVFWjQALh8mWuk1tbcyZpVpUr6ERu62mvz5lxb0rVpZm27151l6Dp+
  AH2v/cCBfJkDXWfnK69wjT4+ntu1Af00/9atuTZDxE1nc+ZwM8a773IbPxEv684CWrbkETeff64f
  9dKqFXD+PJ+dNGzI+dd1oGatiZuZcb4rV+arSQYE8JnBunWc90mT+Hl8PKd1cOBaV1AQP9+1i/sM
  3nsPWLGCa2De3lxzW7oU+OAD7oTv2FHfv+Lnx2dOfn58xnHxIjchNGwITJ/Oterz5wFL6zSkpZjh
  0iVzEPEZUdOmXLOukeUeXbqaaY0a+v4XHV2TStYaaWQkjwz57Tcut5yOHePvha4ZTjf6SNe+vGkT
  9yssXsxlGhnJTWBHjnBeunblz+Gbb/i9jBrFn4NSXJbLlnE+dWdCrVrpR5npZK2JBwdzWl3/zksv
  ce34hx/4DKpSJc6zjQ2fdQ4Zwn9HjeJRRzlNmMDfn65d+Yxm3Dj+TpmZ8VDG1q05f61b85klEZf5
  /PncdPjFF7wPFxdu2nr2WT4r+fVXfcfnjRucN93w23v3sn9mucoruv8XDxRhTfzsWf5Ve+657JNy
  SpK2K9vS8aDjuW6LT4mn3r/2pr3+e416TI2Ga8oWFlwrzk1MDFFsLD/39uaaVFwcr4uJ0acLDuba
  2t5cshifEk9arZb++os/xxdf5NqyrkYJ8KUCcgoMJAK0dOR4At27x+suXyY6epRf4+urT5uWxrVj
  3cSo4GCu5fr46GtA3brpj5eUxOsOHuR8E/EkI4BrXLoav5MT1wJtbXlW7/GTyfTppzy7tmxZoqHD
  kgngmi7Ax/3qK/1xFizgv05OfNmDP/7g5SlT+Jjffcc1u2bNePZtjRq8vmtXnrT11tYPqPXYHzL3
  t2MHvx8vr+yToa5c4Rqvrpxyun+fa84JCbx85AjP8LW357ODnPr25XKZMYMv9wDwuqyXojh3LnvN
  2cqKH3XqcC16xAj