Шаблон для нейросимуляции

189-1-11dw.CNG.swc

# Original file 189-1-11dw.swc edited using StdSwc version 1.31 on 4/23/14.
# Irregularities and fixes documented in 189-1-11dw.swc.std.  See StdSwc1.31.doc for more information.
#
# Neurolucida to SWC conversion from L-Measure. Sridevi Polavaram: [email protected]
# Original fileName:C:\Users\praveen\Desktop\DataProcessing\CurrentArchives\Processing\Jacobs-2\ASC\189-1-11dw.asc
#The original file has a single soma contour that is averaged into 3 soma points
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450 3 88.28 114.37 -3.74 0.52 449
451 3 90.72 115.92 -3.98 0.52 450
452 3 91.59 118.61 -4.09 0.52 451
453 3 94.87 121.52 -4.49 0.52 452
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460 3 105.09 135.21 -7.77 0.52 459
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462 3 109.18 139.17 -8.27 0.52 461
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464 3 114.51 144.93 -8.92 0.52 463
465 3 115.35 150.32 -10.36 0.52 464
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467 3 117.34 153.91 -7.64 0.52 466
468 3 119.64 158.21 -7.48 0.52 467
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472 3 115.55 166.13 -15.97 0.465 471
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475 3 115.83 175.08 -20.23 0.465 474
476 3 116.0 176.66 -22.23 0.465 475
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479 3 119.32 181.87 -23.65 0.465 478
480 3 121.58 181.87 -24.26 0.465 479
481 3 124.43 181.19 -25.44 0.465 480
482 3 127.01 179.98 -26.03 0.465 481
483 3 129.56 180.5 -27.03 0.465 482
484 3 130.57 182.65 -28.12 0.465 483
485 3 131.13 184.97 -28.3 0.465 484
486 3 129.61 188.13 -29.51 0.465 485
487 3 127.31 190.04 -29.5 0.465 486
488 3 124.5 192.42 -29.35 0.465 487
489 3 123.78 193.6 -29.07 0.465 488
490 3 124.44 197.14 -32.84 0.465 489
491 3 123.65 199.38 -33.87 0.465 490
492 3 121.56 200.43 -33.79 0.465 491
493 3 119.54 200.8 -33.61 0.465 492
494 3 116.97 198.5 -37.93 0.465 493
495 3 115.64 197.26 -38.67 0.465 494
496 3 114.57 196.66 -39.25 0.465 495
497 3 112.94 196.32 -39.21 0.465 496
498 3 111.12 195.89 -40.11 0.465 497
499 3 110.13 197.48 -42.02 0.465 498
500 3 109.23 199.71 -43.94 0.465 499
501 3 109.54 200.3 -44.83 0.465 500
502 3 110.09 201.62 -45.31 0.465 501
503 3 111.56 203.22 -46.04 0.465 502
504 3 112.07 204.63 -46.21 0.465 503
505 3 112.12 205.69 -46.42 0.465 504
506 3 112.06 207.92 -46.68 0.465 505
507 3 112.65 209.25 -46.86 0.465 506
508 3 114.16 210.68 -47.09 0.465 507
509 3 116.42 213.7 -45.61 0.465 508
510 3 117.56 215.21 -44.8 0.465 509
511 3 117.76 216.18 -44.27 0.465 510
512 3 7.13 3.84 -0.62 1.62 1
513 3 8.8 5.83 -0.83 1.445 512
514 3 10.03 8.05 -0.93 1.215 513
515 3 11.92 9.6 -0.81 1.04 514
516 3 14.36 11.93 0.14 1.04 515
517 3 16.23 14.54 -0.53 0.925 516
518 3 17.34 15.44 -1.47 0.925 517
519 3 18.13 16.48 -1.67 0.925 518
520 3 19.93 15.94 0.23 0.81 519
521 3 21.44 14.28 2.38 0.81 520
522 3 23.23 11.74 3.7 0.75 521
523 3 24.33 10.55 5.39 0.75 522
524 3 25.3 8.61 6.1 0.52 523
525 3 26.38 6.58 7.09 0.52 524
526 3 27.85 5.21 7.08 0.52 525
527 3 29.52 2.99 7.01 0.52 526
528 3 31.2 1.92 7.02 0.52 527
529 3 34.31 2.48 7.36 0.52 528
530 3 36.78 3.55 7.93 0.52 529
531 3 39.15 4.65 9.11 0.52 530
532 3 41.44 6.48 9.44 0.52 531
533 3 42.72 7.7 9.58 0.52 532
534 3 45.76 8.51 9.73 0.52 533
535 3 49.29 10.16 9.41 0.52 534
536 3 51.55 11.15 9.05 0.52 535
537 3 53.97 12.57 10.22 0.52 536
538 3 57.5 12.96 13.03 0.52 537
539 3 60.57 12.52 12.78 0.52 538
540 3 63.2 11.89 12.53 0.52 539
541 3 65.53 9.58 12.48 0.52 540
542 3 67.38 6.11 13.34 0.465 541
543 3 68.08 1.71 13.34 0.465 542
544 3 68.28 -2.19 13.39 0.465 543
545 3 67.83 -7.17 13.48 0.465 544
546 3 67.29 -9.97 14.46 0.465 545
547 3 66.76 -13.28 14.6 0.465 546
548 3 66.42 -15.71 14.65 0.465 547
549 3 66.47 -17.7 14.66 0.465 548
550 3 67.6 -19.43 14.59 0.465 549
551 3 70.66 -21.03 14.29 0.465 550
552 3 73.73 -22.18 15.66 0.465 551
553 3 76.97 -22.51 17.4 0.465 552
554 3 78.49 -22.82 17.28 0.465 553
555 3 80.29 -23.49 17.13 0.465 554
556 3 82.96 -22.63 16.86 0.465 555
557 3 85.84 -23.28 17.34 0.465 556
558 3 89.36 -22.8 16.98 0.465 557
559 3 91.7 -21.89 16.71 0.465 558
560 3 93.94 -23.54 16.51 0.465 559
561 3 96.98 -24.46 16.57 0.465 560
562 3 101.29 -25.42 16.18 0.465 561
563 3 104.13 -26.89 15.91 0.465 562
564 3 108.31 -30.11 17.16 0.465 563
565 3 109.81 -32.95 17.91 0.465 564
566 3 111.41 -36.4 17.95 0.465 565
567 3 114.76 -38.76 18.89 0.465 566
568 3 118.18 -40.24 18.65 0.465 567
569 3 119.91 -41.72 18.86 0.465 568
570 3 123.14 -44.24 18.96 0.465 569
571 3 123.7 -46.72 18.91 0.465 570
572 3 126.84 -48.25 18.91 0.465 571
573 3 129.6 -48.81 18.95 0.465 572
574 3 133.51 -49.79 18.71 0.465 573
575 3 137.65 -49.55 18.33 0.465 574
576 3 143.68 -52.4 17.8 0.465 575
577 3 146.97 -54.45 17.84 0.465 576
578 3 148.33 -56.17 15.93 0.465 577
579 3 149.29 -57.31 15.48 0.465 578
580 3 149.67 -58.6 15.29 0.465 579
581 3 152.58 -59.95 14.01 0.465 580
582 3 155.03 -61.55 13.48 0.465 581
583 3 155.57 -62.62 13.68 0.465 582
584 3 158.25 -64.4 13.88 0.405 583
585 3 160.58 -66.69 15.29 0.405 584
586 3 163.42 -67.66 15.87 0.405 585
587 3 165.75 -67.88 16.87 0.405 586
588 3 168.27 -67.38 17.93 0.405 587
589 3 169.26 -65.94 18.21 0.405 588
590 3 170.7 -65.16 18.14 0.405 589
591 3 171.98 -64.16 19.4 0.405 590
592 3 173.23 -62.83 20.0 0.405 591
593 3 175.59 -61.35 19.87 0.405 592
594 3 179.43 -58.6 19.46 0.405 593
595 3 183.7 -55.66 19.0 0.405 594
596 3 186.89 -51.91 18.15 0.405 595
597 3 188.81 -51.03 17.83 0.405 596
598 3 189.96 -49.88 17.69 0.405 597
599 3 193.25 -49.28 17.3 0.405 598
600 3 194.83 -49.67 17.12 0.405 599
601 3 200.49 -50.91 16.48 0.405 600
602 3 156.74 -60.98 13.18 0.405 582
603 3 158.34 -59.89 12.69 0.405 602
604 3 158.69 -59.03 12.49 0.345 603
605 3 159.19 -57.31 15.44 0.345 604
606 3 159.54 -55.87 15.29 0.345 605
607 3 158.12 -54.73 13.03 0.345 606
608 3 156.93 -53.7 10.9 0.345 607
609 3 18.64 19.3 -3.66 0.635 519
610 3 20.34 21.46 -3.87 0.635 609
611 3 22.44 24.79 -4.18 0.635 610
612 3 23.67 26.85 -4.04 0.52 611
613 3 25.5 28.62 -1.89 0.52 612
614 3 24.38 29.36 -1.67 0.465 613
615 3 23.92 30.75 -1.57 0.465 614
616 3 24.25 31.8 -0.76 0.465 615
617 3 22.14 34.2 0.26 0.465 616
618 3 20.61 36.59 1.43 0.465 617
619 3 18.66 39.28 2.14 0.465 618
620 3 16.68 41.9 -0.21 0.465 619
621 3 15.37 43.31 -1.12 0.465 620
622 3 12.85 43.43 -0.68 0.465 621
623 3 27.09 30.55 -1.99 0.465 613
624 3 28.84 33.22 -0.95 0.465 623
625 3 29.0 35.71 0.22 0.465 624
626 3 29.79 38.03 -1.49 0.465 625
627 3 30.55 39.03 0.22 0.465 626
628 3 31.01 40.99 1.76 0.465 627
629 3 32.5 43.2 2.58 0.465 628
630 3 32.8 43.83 2.95 0.465 629
631 3 34.36 44.94 3.57 0.405 630
632 3 36.11 46.56 5.27 0.405 631
633 3 36.83 47.88 6.23 0.405 632
634 3 38.41 49.66 7.7 0.405 633
635 3 39.72 51.22 7.74 0.405 634
636 3 40.87 51.44 6.55 0.405 635
637 3 42.12 51.93 6.75 0.405 636
638 3 44.79 51.08 7.86 0.405 637
639 3 32.24 45.4 -0.21 0.405 630
640 3 33.31 47.81 -0.4 0.405 639
641 3 34.53 49.45 -0.55 0.405 640
642 3 35.29 53.81 -0.67 0.405 641
643 3 36.24 58.36 -1.76 0.405 642
644 3 36.38 62.04 -2.91 0.405 643
645 3 37.69 65.45 -0.81 0.405 644
646 3 37.94 68.04 -1.82 0.405 645
647 3 38.33 70.38 -2.08 0.405 646
648 3 38.04 72.39 -2.76 0.405 647
649 3 38.23 74.43 -2.9 0.405 648
650 3 38.19 76.45 -1.39 0.405 649
651 3 39.06 77.98 -1.5 0.405 650
652 3 39.75 79.95 -1.6 0.405 651
653 3 40.15 82.58 0.09 0.345 652
654 3 39.13 75.54 -2.96 0.345 649
655 3 40.04 77.39 -3.12 0.345 654
656 3 40.41 78.83 -3.18 0.345 655
657 3 41.05 79.89 -3.26 0.345 656
658 3 41.41 80.74 -3.3 0.345 657
659 3 41.94 81.58 -3.37 0.345 658
660 3 42.17 84.52 -3.57 0.345 659
661 3 35.28 65.55 -0.94 0.58 644
662 3 34.06 67.61 -1.77 0.58 661
663 3 32.81 69.72 -3.7 0.58 662
664 3 33.6 72.4 -0.84 0.58 663
665 3 33.48 73.9 -0.84 0.58 664
666 3 33.04 75.46 -0.79 0.58 665
667 3 32.97 77.8 0.04 0.58 666
668 3 32.84 82.53 -0.46 0.58 667
669 3 33.55 84.65 -0.56 0.58 668
670 3 33.75 87.27 -0.6 0.58 669
671 3 34.35 89.26 0.01 0.58 670
672 3 35.82 91.83 1.64 0.58 671
673 3 37.43 93.9 1.44 0.58 672
674 3 36.6 95.56 0.22 0.58 673
675 3 38.67 98.08 1.83 0.58 674
676 3 37.06 101.21 2.04 0.58 675
677 3 35.22 103.87 2.24 0.58 676
678 3 34.65 106.19 2.34 0.58 677
679 3 35.16 108.63 3.77 0.58 678
680 3 36.05 109.74 3.71 0.58 679
681 3 37.87 110.97 3.5 0.58 680
682 3 29.41 42.26 2.04 0.465 628
683 3 28.28 43.88 0.35 0.465 682
684 3 28.35 45.42 3.45 0.465 683
685 3 28.56 47.04 3.26 0.465 684
686 3 26.03 47.26 4.21 0.465 685
687 3 24.33 48.09 4.9 0.465 686
688 3 22.84 49.37 7.74 0.465 687
689 3 21.77 51.04 9.41 0.465 688
690 3 20.32 53.82 9.96 0.465 689
691 3 20.05 56.03 10.68 0.465 690
692 3 21.23 59.86 11.98 0.465 691
693 3 21.19 61.68 12.18 0.465 692
694 3 20.07 63.01 12.35 0.465 693
695 3 19.28 66.18 12.47 0.465 694
696 3 19.08 68.2 12.53 0.465 695
697 3 18.02 70.26 13.09 0.465 696
698 3 17.44 71.84 13.35 0.465 697
699 3 16.18 75.6 14.43 0.465 698
700 3 13.72 78.71 15.9 0.465 699
701 3 12.52 80.38 16.48 0.465 700
702 3 11.18 82.4 16.72 0.465 701
703 3 10.42 83.42 16.85 0.465 702
704 3 9.87 84.16 16.96 0.465 703
705 3 9.87 85.31 17.0 0.465 704
706 3 10.56 86.7 16.92 0.465 705
707 3 29.19 49.43 6.55 0.29 685
708 3 28.68 50.59 7.15 0.29 707
709 3 28.07 52.01 7.32 0.29 708
710 3 27.17 53.21 7.41 0.29 709
711 3 27.06 54.72 7.47 0.29 710
712 3 27.04 56.28 7.51 0.29 711
713 3 26.44 58.86 7.86 0.29 712
714 3 29.69 34.08 -3.47 0.29 624
715 3 29.7 35.4 -3.53 0.29 714
716 3 31.54 37.3 -3.0 0.29 715
717 3 31.99 38.9 -2.5 0.29 716
718 3 32.96 40.6 -1.92 0.29 717
719 3 33.81 41.97 -2.03 0.29 718
720 3 36.42 47.7 -2.32 0.29 719
721 3 37.66 50.09 -2.47 0.29 720
722 3 39.68 52.61 -2.52 0.29 721
723 3 40.54 53.92 -1.67 0.29 722
724 3 41.57 56.25 -1.4 0.29 723
725 3 42.85 57.45 -2.62 0.29 724
726 3 44.28 59.46 -3.5 0.29 725
727 3 44.93 60.26 -3.98 0.29 726
728 3 46.66 63.33 -4.2 0.29 727
729 3 31.26 34.84 -0.13 0.23 714
730 3 32.8 35.89 1.04 0.23 729
731 3 33.37 36.63 0.81 0.23 730
732 3 35.41 35.04 1.7 0.23 731
733 3 37.46 34.35 -1.34 0.23 732
734 3 38.75 33.48 -2.09 0.23 733
735 3 40.12 32.36 -2.55 0.23 734
736 3 41.84 31.79 -2.79 0.23 735
737 3 34.67 37.92 0.3 0.23 731
738 3 36.41 39.85 1.55 0.23 737
739 3 38.87 42.14 1.3 0.23 738
740 3 39.1 43.19 1.27 0.23 739
741 3 40.28 44.18 5.25 0.23 740
742 3 41.93 44.79 5.81 0.23 741
743 3 43.42 45.84 6.64 0.23 742
744 3 44.62 47.41 7.2 0.23 743
745 3 45.33 48.67 8.87 0.23 744
746 3 45.93 49.29 10.51 0.23 745
747 3 46.75 50.17 10.71 0.23 746
748 3 48.39 51.78 11.42 0.23 747
749 3 23.92 24.36 -4.75 0.405 611
750 3 26.19 26.52 -5.03 0.405 749
751 3 28.76 28.91 -3.73 0.405 750
752 3 31.03 31.42 -3.05 0.405 751
753 3 33.96 34.47 -3.01 0.405 752
754 3 36.26 38.04 -2.59 0.405 753
755 3 38.16 40.34 -2.67 0.405 754
756 3 39.46 42.47 -2.73 0.405 755
757 3 41.13 45.61 -2.95 0.405 756
758 3 42.19 47.86 -3.03 0.405 757
759 3 43.29 50.43 -3.18 0.405 758
760 3 45.12 54.72 -3.41 0.405 759
761 3 47.1 57.01 -2.75 0.405 760
762 3 48.22 59.87 -4.51 0.405 761
763 3 49.55 61.62 -3.06 0.405 762
764 3 51.37 63.55 -1.27 0.405 763
765 3 53.3 65.53 -0.6 0.405 764
766 3 54.06 66.49 -0.29 0.405 765
767 3 55.49 69.02 -0.37 0.405 766
768 3 56.41 70.3 -0.49 0.405 767
769 3 58.05 71.22 -0.38 0.405 768
770 3 58.67 72.55 -0.21 0.405 769
771 3 59.59 74.07 0.07 0.405 770
772 3 60.55 74.93 0.15 0.405 771
773 3 61.64 78.34 0.31 0.405 772
774 3 63.58 79.8 0.23 0.405 773
775 3 66.21 85.54 0.04 0.405 774
776 3 68.55 88.75 -0.19 0.405 775
777 3 70.77 90.77 0.64 0.405 776
778 3 71.09 92.14 0.99 0.405 777
779 3 72.62 93.84 1.41 0.405 778
780 3 74.49 96.54 1.28 0.405 779
781 3 76.82 99.86 1.49 0.405 780
782 3 78.13 102.35 2.63 0.405 781
783 3 79.39 105.31 2.67 0.405 782
784 3 79.96 106.31 2.7 0.405 783
785 3 80.9 108.03 4.49 0.405 784
786 3 81.02 109.26 4.72 0.405 785
787 3 80.85 110.28 4.79 0.405 786
788 3 80.82 111.95 5.43 0.405 787
789 3 80.76 114.56 6.78 0.405 788
790 3 80.36 116.36 7.57 0.405 789
791 3 3.95 -8.7 -0.18 0.925 1
792 3 8.76 -6.47 0.55 0.81 791
793 3 12.1 -5.04 1.01 0.81 792
794 3 14.4 -4.45 0.8 0.635 793
795 3 17.54 -2.68 0.52 0.635 794
796 3 19.59 -0.89 1.03 0.635 795
797 3 22.26 0.15 1.97 0.635 796
798 3 22.71 2.33 2.41 0.52 797
799 3 23.9 3.36 0.66 0.52 798
800 3 25.67 5.43 0.44 0.405 799
801 3 27.18 7.05 1.41 0.405 800
802 3 27.87 8.63 2.63 0.405 801
803 3 29.22 11.09 2.61 0.405 802
804 3 30.85 12.17 2.42 0.405 803
805 3 31.97 14.42 2.88 0.405 804
806 3 33.27 15.91 3.62 0.405 805
807 3 35.14 18.29 3.9 0.405 806
808 3 35.73 20.04 4.02 0.405 807
809 3 36.37 21.25 3.64 0.405 808
810 3 37.33 22.28 3.52 0.405 809
811 3 38.56 23.5 3.37 0.405 810
812 3 38.86 25.03 3.32 0.405 811
813 3 41.29 26.71 1.42 0.405 812
814 3 42.86 28.95 4.3 0.405 813
815 3 44.33 30.45 6.59 0.405 814
816 3 45.52 31.35 6.49 0.405 815
817 3 48.16 33.49 7.94 0.405 816
818 3 50.07 34.65 9.37 0.405 817
819 3 52.63 36.21 10.17 0.405 818
820 3 53.28 37.7 10.39 0.405 819
821 3 54.15 39.23 10.28 0.345 820
822 3 55.01 40.53 11.03 0.345 821
823 3 55.79 41.98 10.98 0.345 822
824 3 56.78 43.17 10.86 0.345 823
825 3 57.86 46.16 10.76 0.345 824
826 3 58.0 47.71 10.74 0.345 825
827 3 57.58 49.42 10.78 0.345 826
828 3 58.24 51.74 11.44 0.345 827
829 3 59.01 54.36 11.33 0.345 828
830 3 59.29 55.72 11.34 0.345 829
831 3 59.31 57.62 11.33 0.345 830
832 3 60.78 59.89 11.15 0.345 831
833 3 63.08 61.04 10.92 0.345 832
834 3 65.92 62.04 10.59 0.345 833
835 3 68.81 61.46 10.26 0.345 834
836 3 71.24 60.69 9.98 0.345 835
837 3 53.94 36.61 10.22 0.405 819
838 3 56.15 38.37 10.56 0.405 837
839 3 57.34 39.56 12.17 0.405 838
840 3 57.33 40.98 12.57 0.405 839
841 3 59.74 42.88 13.08 0.405 840
842 3 62.69 44.3 13.84 0.405 841
843 3 65.6 46.19 13.6 0.405 842
844 3 67.22 48.28 13.55 0.405 843
845 3 68.99 50.91 13.38 0.405 844
846 3 71.55 54.38 14.07 0.405 845
847 3 73.99 57.66 13.81 0.405 846
848 3 76.26 59.24 13.44 0.405 847
849 3 77.23 61.76 10.8 0.405 848
850 3 78.83 63.27 10.6 0.405 849
851 3 80.03 65.17 10.7 0.405 850
852 3 81.55 66.41 13.04 0.405 851
853 3 83.49 69.03 12.85 0.405 852
854 3 83.82 70.71 12.85 0.405 853
855 3 84.55 72.43 12.75 0.405 854
856 3 85.97 73.79 12.63 0.405 855
857 3 87.04 75.17 14.36 0.405 856
858 3 89.11 77.02 14.16 0.405 857
859 3 89.59 78.69 10.47 0.405 858
860 3 92.4 81.0 9.63 0.405 859
861 3 93.7 83.29 9.42 0.405 860
862 3 95.14 85.39 9.24 0.405 861
863 3 96.65 86.83 9.05 0.405 862
864 3 97.78 87.83 8.92 0.405 863
865 3 100.33 89.03 8.61 0.405 864
866 3 101.71 90.07 8.4 0.405 865
867 3 104.48 92.32 8.07 0.405 866
868 3 106.52 94.91 7.81 0.405 867
869 3 109.67 99.33 7.37 0.405 868
870 3 112.29 102.18 7.05 0.405 869
871 3 115.32 105.27 9.35 0.405 870
872 3 118.36 108.24 9.69 0.405 871
873 3 121.59 110.83 9.3 0.405 872
874 3 125.3 112.61 8.91 0.405 873
875 3 128.22 112.35 8.57 0.405 874
876 3 132.81 110.84 10.52 0.405 875
877 3 135.11 109.67 10.31 0.405 876
878 3 137.02 109.24 10.09 0.405 877
879 3 25.06 0.48 -0.4 0.405 797
880 3 26.49 1.44 -4.3 0.405 879
881 3 28.09 2.07 -6.35 0.405 880
882 3 29.91 3.3 -6.62 0.405 881
883 3 31.44 3.86 -8.46 0.405 882
884 3 33.03 3.63 -8.79 0.405 883
885 3 35.48 3.61 -9.13 0.405 884
886 3 38.04 4.77 -7.21 0.405 885
887 3 40.36 5.36 -7.28 0.405 886
888 3 43.17 5.54 -6.95 0.405 887
889 3 45.94 6.24 -6.12 0.405 888
890 3 48.8 5.34 -6.19 0.405 889
891 3 50.52 3.89 -4.57 0.405 890
892 3 52.77 2.83 -4.72 0.405 891
893 3 54.96 2.01 -4.92 0.405 892
894 3 57.72 1.78 -5.24 0.405 893
895 3 58.73 -0.5 -5.19 0.345 894
896 3 59.81 -0.99 -5.31 0.345 895
897 3 63.58 -1.52 -5.14 0.345 896
898 3 67.15 -3.61 -5.48 0.345 897
899 3 72.69 -9.28 -6.04 0.345 898
900 3 74.38 -13.08 -6.21 0.345 899
901 3 76.45 -15.86 -6.43 0.345 900
902 3 75.89 -19.91 -6.34 0.345 901
903 3 73.45 -23.2 -6.04 0.345 902
904 3 73.42 -25.84 -6.02 0.345 903
905 3 73.92 -28.06 -6.06 0.345 904
906 3 74.17 -29.98 -5.17 0.345 905
907 3 74.17 -32.01 -7.02 0.345 906
908 3 73.89 -36.03 -9.43 0.345 907
909 3 73.93 -40.11 -10.51 0.345 908
910 3 73.27 -44.43 -11.62 0.345 909
911 3 71.86 -48.14 -12.74 0.345 910
912 3 70.38 -53.88 -12.78 0.345 911
913 3 70.32 -58.71 -14.51 0.345 912
914 3 69.22 -62.37 -15.31 0.345 913
915 3 68.41 -63.97 -17.48 0.345 914
916 3 67.53 -67.33 -18.11 0.345 915
917 3 66.22 -71.56 -18.43 0.345 916
918 3 67.31 -73.05 -18.7 0.345 917
919 3 66.72 -74.95 -18.67 0.345 918
920 3 68.38 -78.78 -16.83 0.345 919
921 3 69.4 -81.65 -16.67 0.345 920
922 3 68.96 -86.92 -14.68 0.345 921
923 3 69.83 -91.34 -14.7 0.345 922
924 3 71.75 -96.99 -14.88 0.345 923
925 3 72.59 -101.55 -17.17 0.345 924
926 3 73.09 -103.61 -17.46 0.345 925
927 3 73.85 -106.88 -18.44 0.345 926
928 3 76.29 -109.8 -18.9 0.345 927
929 3 80.19 -111.94 -19.28 0.345 928
930 3 82.23 -114.59 -17.74 0.345 929
931 3 84.36 -117.82 -15.45 0.345 930
932 3 87.46 -120.31 -15.04 0.345 931
933 3 90.87 -121.44 -14.42 0.345 932
934 3 92.68 -122.82 -14.52 0.345 933
935 3 93.74 -124.05 -14.63 0.345 934
936 3 95.16 -125.49 -14.23 0.345 935
937 3 96.82 -128.1 -13.25 0.345 936
938 3 97.84 -130.23 -13.2 0.345 937
939 3 96.69 -134.34 -12.39 0.345 938
940 3 95.67 -138.32 -12.04 0.345 939
941 3 95.21 -140.41 -11.93 0.345 940
942 3 95.82 -143.21 -14.75 0.345 941
943 3 96.72 -145.6 -16.3 0.345 942
944 3 97.82 -148.24 -16.51 0.345 943
945 3 93.44 -121.04 -15.12 0.465 933
946 3 96.01 -121.1 -15.92 0.465 945
947 3 98.2 -122.33 -16.31 0.465 946
948 3 99.01 -123.86 -16.8 0.465 947
949 3 101.12 -124.35 -14.47 0.465 948
950 3 103.79 -125.98 -14.62 0.465 949
951 3 105.4 -126.2 -14.75 0.465 950
952 3 107.62 -126.27 -14.91 0.465 951
953 3 109.88 -126.6 -15.12 0.465 952
954 3 109.94 -128.02 -15.06 0.465 953
955 3 113.8 -129.15 -15.45 0.465 954
956 3 116.35 -129.91 -14.83 0.465 955
957 3 117.99 -132.88 -14.95 0.465 956
958 3 119.36 -134.31 -15.1 0.465 957
959 3 121.2 -135.4 -15.11 0.465 958
960 3 125.02 -136.77 -14.88 0.465 959
961 3 126.98 -137.3 -15.21 0.465 960
962 3 129.76 -138.25 -17.38 0.405 961
963 3 131.17 -138.83 -20.31 0.405 962
964 3 134.41 -140.08 -21.78 0.405 963
965 3 135.98 -140.57 -22.67 0.405 964
966 3 137.97 -141.52 -22.99 0.405 965
967 3 140.34 -142.19 -23.31 0.405 966
968 3 142.5 -143.42 -24.0 0.405 967
969 3 146.54 -144.42 -24.56 0.405 968
970 3 147.11 -145.57 -24.62 0.405 969
971 3 148.4 -146.92 -24.81 0.405 970
972 3 150.03 -146.99 -25.0 0.405 971
973 3 151.74 -149.13 -25.24 0.405 972
974 3 153.02 -150.06 -25.38 0.405 973
975 3 155.13 -150.39 -26.83 0.405 974
976 3 157.03 -150.1 -27.3 0.405 975
977 3 158.93 -150.05 -28.17 0.405 976
978 3 59.0 3.23 -4.54 0.405 894
979 3 60.35 4.2 -4.14 0.405 978
980 3 62.74 4.94 -3.77 0.405 979
981 3 66.08 5.75 -2.45 0.405 980
982 3 66.14 6.77 -4.02 0.405 981
983 3 65.37 7.8 -3.99 0.405 982
984 3 46.08 7.28 -5.34 0.405 889
985 3 48.33 9.27 -5.61 0.405 984
986 3 49.1 11.31 -5.76 0.405 985
987 3 52.85 14.37 -3.75 0.405 986
988 3 54.46 15.88 -3.89 0.405 987
989 3 55.41 16.73 -3.96 0.405 988
990 3 56.14 17.87 -4.05 0.405 989
991 3 55.64 19.09 -4.1 0.405 990
992 3 57.54 20.55 -4.63 0.405 991
993 3 60.24 21.7 -2.78 0.405 992
994 3 62.76 22.0 -2.98 0.405 993
995 3 64.9 22.02 -3.17 0.405 994
996 3 66.47 23.2 -3.36 0.405 995
997 3 67.55 24.45 -3.49 0.405 996
998 3 70.16 25.55 -3.8 0.405 997
999 3 72.25 25.26 -4.04 0.405 998
1000 3 73.81 27.59 -4.24 0.405 999
1001 3 75.93 28.03 -4.48 0.405 1000
1002 3 76.74 28.5 -4.58 0.405 1001
1003 3 78.28 29.52 -4.71 0.405 1002
1004 3 79.33 30.02 -4.84 0.405 1003
1005 3 82.61 29.3 -5.16 0.345 1004
1006 3 83.94 28.87 -5.26 0.345 1005
1007 3 88.3 31.48 -4.67 0.345 1006
1008 3 92.21 31.5 -4.72 0.345 1007
1009 3 97.6 31.16 -4.38 0.345 1008
1010 3 102.36 30.52 -6.34 0.345 1009
1011 3 104.07 30.36 -6.53 0.345 1010
1012 3 105.01 31.22 -6.65 0.345 1011
1013 3 106.36 30.94 -6.8 0.345 1012
1014 3 107.19 30.41 -6.89 0.345 1013
1015 3 108.45 31.21 -7.04 0.345 1014
1016 3 110.6 31.75 -6.44 0.345 1015
1017 3 111.54 33.31 -4.49 0.345 1016
1018 3 111.92 34.2 -3.03 0.345 1017
1019 3 113.28 35.79 -1.14 0.345 1018
1020 3 113.87 36.63 -0.66 0.345 1019
1021 3 114.15 38.0 -0.6 0.345 1020
1022 3 113.74 39.71 -0.51 0.345 1021
1023 3 113.07 40.79 -0.44 0.345 1022
1024 3 103.11 29.18 -6.11 0.345 1010
1025 3 104.96 26.91 -0.17 0.345 1024
1026 3 104.96 25.65 2.8 0.345 1025
1027 3 105.52 24.27 3.55 0.345 1026
1028 3 108.51 23.34 3.26 0.345 1027
1029 3 113.35 23.21 2.75 0.345 1028
1030 3 115.18 22.55 -0.77 0.345 1029
1031 3 116.04 23.07 -1.17 0.345 1030
1032 3 116.69 25.01 -2.92 0.345 1031
1033 3 118.9 24.1 -3.62 0.345 1032
1034 3 120.3 22.99 -3.88 0.345 1033
1035 3 121.24 22.69 -4.03 0.345 1034
1036 3 122.7 23.71 -4.81 0.345 1035
1037 3 57.63 23.1 -4.81 0.405 992
1038 3 59.25 24.7 -0.68 0.405 1037
1039 3 59.89 26.18 -0.56 0.405 1038
1040 3 61.56 27.59 -0.71 0.405 1039
1041 3 64.14 29.54 -0.97 0.405 1040
1042 3 65.49 30.67 -0.83 0.405 1041
1043 3 67.67 33.75 -0.85 0.405 1042
1044 3 70.06 36.13 -1.09 0.405 1043
1045 3 72.13 39.14 -1.35 0.405 1044
1046 3 74.05 41.19 -1.58 0.405 1045
1047 3 77.04 45.17 -0.09 0.405 1046
1048 3 77.97 47.8 1.19 0.405 1047
1049 3 78.74 48.93 1.34 0.405 1048
1050 3 81.61 52.02 2.2 0.405 1049
1051 3 84.99 54.78 2.85 0.405 1050
1052 3 86.74 56.35 3.09 0.405 1051
1053 3 91.02 59.3 2.63 0.405 1052
1054 3 96.66 62.05 2.72 0.405 1053
1055 3 99.15 63.93 2.52 0.405 1054
1056 3 101.25 67.1 2.46 0.405 1055
1057 3 104.6 71.56 1.34 0.405 1056
1058 3 107.44 75.26 -0.21 0.405 1057
1059 3 112.17 77.87 -1.43 0.405 1058
1060 3 115.13 79.26 -1.93 0.405 1059
1061 3 116.39 80.07 -2.13 0.405 1060
1062 3 117.61 81.61 -2.83 0.405 1061
1063 3 118.28 83.0 -3.07 0.405 1062
1064 3 120.77 83.88 -3.46 0.405 1063
1065 3 124.34 87.71 -5.36 0.405 1064
1066 3 126.07 89.67 -6.58 0.405 1065
1067 3 127.47 92.0 -8.11 0.405 1066
1068 3 129.76 94.06 -8.89 0.405 1067
1069 3 130.24 96.11 -10.07 0.405 1068
1070 3 131.77 98.06 -12.98 0.405 1069
1071 3 133.7 99.9 -14.37 0.405 1070
1072 3 136.27 102.42 -14.78 0.405 1071
1073 3 137.8 104.02 -15.02 0.405 1072
1074 3 138.79 104.95 -15.44 0.405 1073
1075 3 139.56 106.73 -15.99 0.405 1074
1076 3 141.33 107.24 -17.0 0.405 1075
1077 3 143.9 108.18 -17.56 0.405 1076
1078 3 146.59 109.04 -17.62 0.405 1077
1079 3 1.24 -9.8 0.13 1.85 1
1080 3 1.74 -13.5 4.07 1.215 1079
1081 3 2.09 -15.19 4.9 1.215 1080
1082 3 4.41 -16.89 6.15 0.81 1081
1083 3 6.57 -18.58 7.58 0.81 1082
1084 3 9.21 -20.1 7.73 0.635 1083
1085 3 11.8 -19.38 8.44 0.635 1084
1086 3 14.35 -18.09 5.07 0.635 1085
1087 3 16.15 -18.53 3.95 0.635 1086
1088 3 18.6 -19.17 2.07 0.635 1087
1089 3 20.27 -18.37 0.51 0.635 1088
1090 3 21.71 -17.7 -1.56 0.635 1089
1091 3 23.84 -15.72 -2.88 0.635 1090
1092 3 27.76 -15.06 -3.64 0.635 1091
1093 3 31.06 -14.81 -4.93 0.635 1092
1094 3 37.61 -15.35 -5.88 0.635 1093
1095 3 38.48 -16.72 -6.07 0.52 1094
1096 3 40.58 -19.34 -6.3 0.52 1095
1097 3 41.71 -20.65 -6.42 0.52 1096
1098 3 44.51 -21.14 -6.74 0.52 1097
1099 3 47.68 -23.67 -7.19 0.52 1098
1100 3 50.0 -26.76 -8.49 0.52 1099
1101 3 50.56 -28.82 -8.34 0.52 1100
1102 3 50.29 -29.92 -7.85 0.52 1101
1103 3 51.99 -33.21 -7.12 0.52 1102
1104 3 53.36 -35.71 -6.56 0.52 1103
1105 3 54.91 -37.49 -6.07 0.52 1104
1106 3 56.68 -37.71 -4.81 0.52 1105
1107 3 57.3 -39.03 -8.0 0.52 1106
1108 3 59.87 -40.39 -8.69 0.52 1107
1109 3 62.44 -41.21 -10.59 0.52 1108
1110 3 66.5 -44.95 -11.19 0.52 1109
1111 3 69.75 -48.24 -12.24 0.52 1110
1112 3 72.66 -50.24 -12.62 0.52 1111
1113 3 75.56 -52.97 -12.99 0.52 1112
1114 3 76.21 -56.54 -13.04 0.52 1113
1115 3 76.19 -59.59 -13.02 0.52 1114
1116 3 76.8 -61.62 -10.96 0.52 1115
1117 3 78.64 -64.03 -10.85 0.52 1116
1118 3 79.19 -67.25 -10.75 0.52 1117
1119 3 79.4 -71.02 -12.26 0.52 1118
1120 3 80.4 -74.73 -12.65 0.52 1119
1121 3 80.21 -77.03 -12.92 0.52 1120
1122 3 79.73 -77.96 -13.11 0.52 1121
1123 3 80.12 -80.42 -13.14 0.52 1122
1124 3 83.66 -82.66 -13.68 0.52 1123
1125 3 87.15 -84.08 -14.07 0.52 1124
1126 3 92.68 -85.47 -12.03 0.52 1125
1127 3 95.48 -87.42 -12.04 0.52 1126
1128 3 99.26 -88.62 -12.42 0.52 1127
1129 3 101.79 -87.59 -12.67 0.52 1128
1130 3 103.89 -88.47 -12.91 0.52 1129
1131 3 106.28 -90.72 -13.17 0.52 1130
1132 3 107.82 -91.44 -13.34 0.52 1131
1133 3 110.71 -91.91 -12.92 0.465 1132
1134 3 111.6 -93.02 -12.51 0.465 1133
1135 3 114.04 -94.85 -12.22 0.465 1134
1136 3 116.83 -96.72 -11.63 0.465 1135
1137 3 120.24 -97.12 -11.21 0.465 1136
1138 3 123.99 -97.96 -10.83 0.465 1137
1139 3 127.71 -100.24 -11.1 0.465 1138
1140 3 129.0 -102.64 -10.58 0.465 1139
1141 3 132.13 -103.66 -10.38 0.465 1140
1142 3 134.82 -105.19 -9.72 0.465 1141
1143 3 136.53 -108.04 -8.59 0.465 1142
1144 3 139.76 -112.05 -8.13 0.465 1143
1145 3 142.35 -114.8 -7.51 0.465 1144
1146 3 143.96 -116.94 -7.58 0.465 1145
1147 3 146.04 -118.14 -7.51 0.465 1146
1148 3 149.44 -119.09 -5.53 0.465 1147
1149 3 151.25 -118.76 -5.39 0.465 1148
1150 3 152.44 -117.6 -5.23 0.465 1149
1151 3 154.9 -117.59 -4.06 0.465 1150
1152 3 158.47 -118.75 -3.4 0.465 1151
1153 3 161.27 -119.97 -3.62 0.465 1152
1154 3 164.4 -120.51 -3.92 0.465 1153
1155 3 166.59 -120.74 -4.18 0.465 1154
1156 3 170.87 -123.01 -4.6 0.465 1155
1157 3 174.18 -123.99 -4.98 0.465 1156
1158 3 180.74 -121.5 -3.94 0.465 1157
1159 3 184.57 -118.74 -4.35 0.465 1158
1160 3 188.83 -117.71 -4.75 0.465 1159
1161 3 192.92 -117.38 -5.02 0.465 1160
1162 3 196.49 -117.22 -4.58 0.465 1161
1163 3 199.95 -118.03 -3.91 0.465 1162
1164 3 201.45 -119.65 -4.02 0.465 1163
1165 3 204.74 -121.53 -4.34 0.465 1164
1166 3 206.56 -119.72 -4.46 0.465 1165
1167 3 209.78 -120.76 -4.83 0.465 1166
1168 3 213.37 -123.43 -5.07 0.465 1167
1169 3 216.62 -125.01 -3.63 0.465 1168
1170 3 220.54 -125.8 -2.56 0.465 1169
1171 3 222.61 -126.91 -2.09 0.465 1170
1172 3 225.42 -127.55 -2.16 0.465 1171
1173 3 227.12 -127.78 -1.65 0.465 1172
1174 3 229.69 -126.32 -1.3 0.465 1173
1175 3 230.85 -124.46 -1.29 0.465 1174
1176 3 230.85 -122.72 -1.3 0.465 1175
1177 3 230.25 -121.15 -1.2 0.465 1176
1178 3 229.65 -119.58 -1.14 0.465 1177
1179 3 229.33 -117.21 -1.11 0.465 1178
1180 3 205.83 -122.46 -4.26 0.465 1165
1181 3 208.28 -123.81 -4.53 0.465 1180
1182 3 210.18 -124.83 -4.75 0.465 1181
1183 3 211.32 -126.15 -4.87 0.465 1182
1184 3 214.85 -127.3 -4.51 0.465 1183
1185 3 217.23 -128.88 -4.38 0.465 1184
1186 3 220.3 -129.64 -4.12 0.465 1185
1187 3 222.11 -129.9 -4.03 0.465 1186
1188 3 224.77 -131.32 -3.01 0.465 1187
1189 3 226.98 -131.97 -3.22 0.465 1188
1190 3 229.04 -133.31 -1.73 0.465 1189
1191 3 231.06 -136.64 -1.04 0.465 1190
1192 3 231.26 -139.29 -0.34 0.465 1191
1193 3 231.52 -142.3 -0.15 0.465 1192
1194 3 234.65 -145.87 1.06 0.465 1193
1195 3 237.42 -145.52 0.84 0.465 1194
1196 3 239.25 -146.61 0.74 0.465 1195
1197 3 241.37 -149.19 2.12 0.465 1196
1198 3 243.18 -151.5 2.63 0.465 1197
1199 3 98.6 -89.8 -18.48 0.465 1128
1200 3 99.87 -90.73 -18.67 0.465 1199
1201 3 100.87 -91.12 -18.78 0.465 1200
1202 3 102.01 -92.44 -18.9 0.465 1201
1203 3 102.08 -94.28 -18.9 0.465 1202
1204 3 104.99 -95.78 -16.36 0.405 1203
1205 3 107.08 -97.25 -16.54 0.405 1204
1206 3 108.88 -99.08 -16.74 0.405 1205
1207 3 110.98 -101.12 -16.91 0.405 1206
1208 3 112.64 -102.76 -17.1 0.405 1207
1209 3 115.02 -105.75 -17.35 0.405 1208
1210 3 116.75 -106.91 -17.54 0.405 1209
1211 3 118.43 -107.81 -17.73 0.405 1210
1212 3 120.59 -108.78 -17.97 0.405 1211
1213 3 122.1 -109.66 -18.14 0.405 1212
1214 3 123.74 -110.89 -18.32 0.405 1213
1215 3 125.67 -112.33 -18.54 0.405 1214
1216 3 125.24 -114.83 -18.47 0.405 1215
1217 3 126.04 -118.0 -18.49 0.405 1216
1218 3 126.94 -119.79 -18.54 0.405 1217
1219 3 129.25 -120.95 -18.74 0.405 1218
1220 3 40.46 -13.56 -4.05 0.52 1094
1221 3 41.87 -13.51 -4.17 0.52 1220
1222 3 43.78 -11.54 -3.7 0.52 1221
1223 3 47.63 -10.9 -2.78 0.52 1222
1224 3 50.71 -10.93 -2.79 0.52 1223
1225 3 52.75 -11.14 -2.82 0.52 1224
1226 3 54.22 -9.77 -2.69 0.52 1225
1227 3 56.0 -8.16 -0.7 0.52 1226
1228 3 58.8 -9.1 0.89 0.52 1227
1229 3 60.42 -9.91 0.76 0.52 1228
1230 3 62.35 -10.76 0.54 0.52 1229
1231 3 64.11 -11.6 0.34 0.52 1230
1232 3 66.19 -12.06 0.11 0.52 1231
1233 3 69.94 -15.69 -1.1 0.52 1232
1234 3 71.63 -17.17 -1.23 0.52 1233
1235 3 73.57 -19.19 -1.39 0.52 1234
1236 3 74.38 -19.88 -1.48 0.52 1235
1237 3 78.0 -20.0 -2.4 0.52 1236
1238 3 81.89 -20.34 -3.65 0.465 1237
1239 3 82.79 -21.08 -5.72 0.465 1238
1240 3 82.99 -22.3 -6.79 0.465 1239
1241 3 86.3 -22.7 -7.27 0.465 1240
1242 3 89.68 -22.44 -7.76 0.465 1241
1243 3 92.42 -22.84 -8.12 0.465 1242
1244 3 96.73 -25.36 -5.13 0.465 1243
1245 3 98.99 -28.01 -5.33 0.465 1244
1246 3 98.77 -33.1 -5.27 0.465 1245
1247 3 97.4 -35.31 -5.05 0.465 1246
1248 3 96.9 -39.73 -3.15 0.465 1247
1249 3 97.45 -42.69 -2.74 0.465 1248
1250 3 98.38 -45.61 -1.57 0.465 1249
1251 3 98.62 -48.79 -1.43 0.465 1250
1252 3 98.34 -50.31 -1.23 0.465 1251
1253 3 100.11 -55.36 -1.25 0.465 1252
1254 3 103.51 -57.01 -1.59 0.465 1253
1255 3 107.38 -60.92 0.05 0.465 1254
1256 3 107.03 -63.22 2.06 0.465 1255
1257 3 107.45 -67.73 2.55 0.465 1256
1258 3 108.97 -73.63 0.04 0.465 1257
1259 3 109.69 -75.54 -0.07 0.465 1258
1260 3 111.19 -78.91 -0.27 0.465 1259
1261 3 114.46 -82.52 -0.62 0.465 1260
1262 3 118.03 -83.64 -2.13 0.465 1261
1263 3 121.42 -84.65 0.29 0.465 1262
1264 3 123.67 -85.68 1.65 0.465 1263
1265 3 125.91 -88.45 2.87 0.465 1264
1266 3 127.3 -89.15 2.76 0.465 1265
1267 3 128.73 -89.52 2.65 0.465 1266
1268 3 130.54 -90.76 2.55 0.465 1267
1269 3 132.3 -92.89 2.41 0.465 1268
1270 3 133.28 -95.35 2.36 0.465 1269
1271 3 137.01 -98.42 3.16 0.465 1270
1272 3 141.28 -100.66 3.99 0.465 1271
1273 3 144.78 -102.66 3.65 0.465 1272
1274 3 147.15 -102.75 3.43 0.465 1273
1275 3 148.57 -102.13 3.31 0.465 1274
1276 3 150.67 -100.66 4.57 0.465 1275
1277 3 153.05 -99.66 5.29 0.465 1276
1278 3 156.19 -99.51 5.64 0.465 1277
1279 3 158.51 -99.74 6.58 0.465 1278
1280 3 161.77 -101.33 7.92 0.465 1279
1281 3 165.57 -105.47 9.93 0.465 1280
1282 3 168.47 -107.53 10.21 0.465 1281
1283 3 171.2 -108.46 11.31 0.465 1282
1284 3 175.47 -110.07 11.28 0.465 1283
1285 3 176.4 -111.1 11.18 0.465 1284
1286 3 178.33 -113.12 10.97 0.465 1285
1287 3 180.2 -114.46 10.81 0.465 1286
1288 3 182.83 -116.25 10.62 0.465 1287
1289 3 184.33 -117.29 10.46 0.465 1288
1290 3 185.52 -118.9 12.7 0.465 1289
1291 3 188.27 -119.42 14.14 0.465 1290
1292 3 191.49 -121.48 14.89 0.465 1291
1293 3 194.47 -125.52 15.48 0.465 1292
1294 3 196.4 -129.5 16.09 0.465 1293
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1677 3 -52.84 -113.77 -2.37 0.465 1676
1678 3 -53.88 -117.74 -2.18 0.465 1677
1679 3 -54.64 -121.98 -5.03 0.465 1678
1680 3 -55.06 -125.61 -7.08 0.465 1679
1681 3 -57.68 -127.84 -9.07 0.465 1680
1682 3 -60.11 -130.23 -9.08 0.465 1681
1683 3 -61.89 -132.1 -11.48 0.465 1682
1684 3 -64.46 -134.56 -11.98 0.465 1683
1685 3 -65.14 -136.36 -11.99 0.465 1684
1686 3 -64.91 -137.64 -12.0 0.465 1685
1687 3 -61.82 -139.65 -12.4 0.465 1686
1688 3 -34.08 -63.97 -2.24 0.465 1661
1689 3 -36.63 -65.76 -1.93 0.465 1688
1690 3 -38.95 -68.24 -1.7 0.465 1689
1691 3 -40.21 -71.36 -1.53 0.465 1690
1692 3 -41.1 -73.04 -1.42 0.465 1691
1693 3 -44.73 -75.5 -0.98 0.465 1692
1694 3 -47.96 -75.74 -2.73 0.465 1693
1695 3 -50.94 -77.8 -2.92 0.465 1694
1696 3 -52.28 -78.52 -2.86 0.465 1695
1697 3 -56.42 -79.2 -0.37 0.465 1696
1698 3 -57.15 -80.23 0.37 0.465 1697
1699 3 -57.28 -82.98 2.61 0.465 1698
1700 3 -5.53 -1.11 0.86 0.75 1
1701 3 -6.96 -2.48 0.98 0.58 1700
1702 3 -7.95 -4.14 1.66 0.58 1701
1703 3 -8.46 -4.98 1.77 0.58 1702
1704 2 3.76 -7.11 -0.17 0.695 1
1705 2 5.91 -4.44 -0.73 0.635 1704
1706 2 7.63 -1.91 -1.9 0.635 1705
1707 2 9.36 0.34 -1.21 0.635 1706
1708 2 10.69 2.05 -1.12 0.58 1707
1709 2 12.75 5.74 -0.83 0.405 1708
1710 2 13.77 7.34 -0.56 0.405 1709
1711 2 14.78 8.67 -0.63 0.405 1710
1712 2 15.54 9.97 -0.68 0.405 1711
1713 2 16.5 12.15 -0.8 0.405 1712
1714 2 70.73 104.16 -7.64 0.52 1713
1715 2 73.73 108.03 -8.01 0.52 1714
1716 2 76.52 112.81 -9.22 0.52 1715
1717 2 78.64 115.57 -9.48 0.52 1716
1718 2 82.97 121.79 -10.57 0.52 1717
1719 2 88.5 126.09 -9.07 0.52 1718
1720 2 92.13 129.69 -9.46 0.52 1719
1721 2 94.86 133.6 -9.35 0.52 1720
1722 2 97.49 135.87 -9.57 0.52 1721
1723 2 100.91 139.93 -10.19 0.52 1722
1724 2 104.74 144.83 -14.08 0.52 1723
1725 2 109.0 149.09 -14.85 0.52 1724
1726 2 112.03 152.6 -15.98 0.52 1725
1727 2 115.87 156.58 -17.25 0.52 1726
1728 2 117.9 158.81 -19.01 0.52 1727
1729 2 122.02 162.52 -19.56 0.52 1728
1730 2 125.02 165.68 -22.04 0.52 1729
1731 2 127.54 168.77 -22.75 0.52 1730
1732 2 129.65 171.43 -23.57 0.52 1731
1733 2 134.95 175.02 -23.9 0.52 1732
1734 2 138.02 178.25 -22.86 0.52 1733
1735 2 141.87 182.26 -22.58 0.52 1734
1736 2 146.21 188.03 -21.65 0.52 1735
1737 2 150.2 192.88 -19.78 0.52 1736
1738 2 154.21 197.8 -18.46 0.52 1737
1739 2 157.35 201.99 -17.99 0.52 1738
1740 2 161.55 207.18 -18.36 0.52 1739
1741 2 165.73 213.04 -18.17 0.52 1740
1742 2 169.43 217.75 -20.75 0.52 1741
1743 2 170.74 219.85 -22.07 0.52 1742
1744 2 174.42 224.46 -21.92 0.52 1743
1745 2 178.36 230.59 -22.01 0.52 1744
1746 2 184.23 239.18 -22.08 0.52 1745
1747 2 190.8 247.33 -22.84 0.52 1746
1748 2 194.2 251.84 -22.01 0.52 1747
1749 2 196.94 255.17 -21.79 0.52 1748
1750 2 197.9 257.76 -21.72 0.52 1749
1751 2 199.81 259.64 -21.9 0.52 1750
1752 2 206.23 262.02 -22.6 0.52 1751
1753 2 205.83 263.32 -22.51 0.52 1752
1754 2 212.28 270.65 -23.3 0.52 1753
1755 2 220.77 279.68 -24.34 0.52 1754
1756 2 221.79 281.87 -24.17 0.52 1755
1757 2 225.61 286.72 -23.68 0.52 1756
1758 2 229.67 292.25 -24.14 0.52 1757
1759 2 231.85 295.01 -23.85 0.52 1758
1760 2 234.45 298.85 -24.03 0.52 1759
1761 2 237.74 302.92 -24.43 0.52 1760
1762 2 239.08 306.32 -34.32 0.52 1761
1763 2 240.0 306.17 -34.83 0.405 1762
1764 2 240.44 304.08 -37.13 0.405 1763
1765 2 241.21 302.06 -37.31 0.405 1764
1766 2 242.13 301.6 -37.41 0.405 1765
1767 2 243.82 297.8 -37.63 0.345 1766
1768 2 244.51 295.7 -37.7 0.345 1767
1769 2 246.67 294.15 -37.94 0.345 1768
1770 2 248.87 291.83 -39.03 0.345 1769
1771 2 249.49 289.68 -39.09 0.345 1770
1772 2 251.79 287.36 -39.34 0.345 1771
1773 2 252.5 286.02 -39.41 0.345 1772
1774 2 254.43 284.0 -39.62 0.345 1773
1775 2 255.02 282.17 -40.23 0.345 1774
1776 2 255.89 280.39 -40.62 0.345 1775
1777 2 257.28 279.27 -40.83 0.345 1776
1778 2 261.6 279.29 -38.76 0.345 1777
1779 2 263.91 280.44 -38.93 0.345 1778
1780 2 265.91 280.07 -39.16 0.345 1779
1781 2 267.06 280.74 -38.64 0.345 1780
1782 2 268.32 281.75 -41.21 0.345 1781
1783 2 269.69 281.63 -41.47 0.345 1782
1784 2 271.78 282.49 -41.77 0.345 1783
1785 2 273.41 282.99 -41.96 0.345 1784
1786 2 274.79 282.87 -42.16 0.345 1785
1787 2 277.66 280.56 -42.48 0.345 1786
1788 2 279.94 279.81 -42.74 0.345 1787
1789 2 282.11 280.16 -43.14 0.345 1788
1790 2 258.75 276.65 -37.86 0.345 1777
1791 2 259.43 274.95 -35.56 0.345 1790
1792 2 261.27 273.32 -34.2 0.345 1791
1793 2 261.55 271.46 -33.77 0.345 1792
1794 2 262.15 269.03 -32.11 0.345 1793
1795 2 264.43 265.61 -29.74 0.345 1794
1796 2 265.93 263.09 -29.49 0.345 1795
1797 2 268.67 260.21 -29.59 0.345 1796
1798 2 271.48 257.83 -29.7 0.345 1797
1799 2 273.83 255.87 -28.59 0.345 1798
1800 2 275.55 252.23 -28.67 0.345 1799
1801 2 242.4 308.55 -24.05 0.925 1762
1802 2 244.89 310.95 -23.49 0.925 1801
1803 2 246.81 313.24 -27.0 0.925 1802
1804 2 249.71 316.45 -27.46 0.925 1803
1805 2 253.17 320.67 -27.88 0.925 1804
1806 2 256.69 325.78 -28.32 0.925 1805
1807 2 259.55 330.41 -28.73 0.925 1806
1808 2 260.55 333.05 -26.85 0.925 1807
1809 2 260.84 335.56 -26.75 0.925 1808
1810 2 261.71 337.1 -26.86 0.925 1809
1811 2 266.01 339.81 -26.06 0.925 1810
1812 2 268.77 342.57 -25.79 0.925 1811
1813 2 272.65 347.58 -24.96 0.925 1812
1814 2 275.84 351.41 -25.16 0.925 1813
1815 2 280.19 355.77 -24.58 0.925 1814
1816 2 283.75 360.38 -25.37 0.925 1815
1817 2 286.87 363.48 -25.9 0.925 1816
1818 2 287.13 362.75 -30.81 0.695 1817
1819 2 288.48 361.9 -30.96 0.695 1818
1820 2 290.19 360.0 -31.14 0.58 1819
1821 2 291.23 357.45 -31.3 0.58 1820
1822 2 292.97 355.87 -31.49 0.58 1821
1823 2 294.68 354.55 -31.68 0.58 1822
1824 2 294.7 352.98 -31.67 0.58 1823
1825 2 296.34 351.33 -32.05 0.58 1824
1826 2 297.52 347.79 -31.21 0.58 1825
1827 2 299.39 346.29 -27.49 0.58 1826
1828 2 301.39 344.43 -27.35 0.58 1827
1829 2 302.47 343.37 -27.42 0.58 1828
1830 2 304.67 341.98 -27.61 0.58 1829
1831 2 306.56 340.22 -27.77 0.58 1830
1832 2 308.19 340.15 -27.96 0.58 1831
1833 2 309.8 341.1 -26.79 0.58 1832
1834 2 310.66 343.05 -26.75 0.58 1833
1835 2 310.06 343.89 -26.49 0.465 1834
1836 2 308.84 343.98 -26.35 0.465 1835
1837 2 308.36 345.98 -25.05 0.465 1836
1838 2 308.28 347.45 -26.1 0.465 1837
1839 2 308.56 349.36 -27.51 0.465 1838
1840 2 308.83 351.47 -27.75 0.465 1839
1841 2 309.05 353.67 -27.84 0.465 1840
1842 2 311.7 343.97 -26.83 0.465 1834
1843 2 312.79 345.74 -26.01 0.465 1842
1844 2 314.94 347.18 -25.76 0.465 1843
1845 2 316.93 348.38 -25.85 0.465 1844
1846 2 318.26 348.94 -25.85 0.465 1845
1847 2 320.27 346.6 -28.64 0.465 1846
1848 2 322.44 344.64 -29.03 0.465 1847
1849 2 323.94 342.43 -29.18 0.465 1848
1850 2 326.0 341.39 -29.42 0.465 1849
1851 2 327.07 341.32 -29.54 0.465 1850
1852 2 328.14 342.57 -29.72 0.465 1851
1853 2 330.51 342.64 -30.15 0.465 1852
1854 2 288.38 366.61 -31.13 0.75 1817
1855 2 290.22 369.33 -31.56 0.75 1854
1856 2 292.67 372.33 -33.47 0.75 1855
1857 2 294.52 374.25 -35.0 0.75 1856
1858 2 297.46 375.9 -35.4 0.75 1857
1859 2 298.21 374.89 -35.58 0.52 1858
1860 2 299.18 373.58 -35.69 0.52 1859
1861 2 301.34 372.9 -37.69 0.52 1860
1862 2 303.11 372.29 -39.0 0.52 1861
1863 2 305.83 371.7 -40.62 0.52 1862
1864 2 307.31 369.21 -42.74 0.52 1863
1865 2 309.41 366.56 -44.37 0.52 1864
1866 2 310.66 366.3 -47.69 0.52 1865
1867 2 311.71 365.72 -48.66 0.52 1866
1868 2 313.19 365.0 -49.33 0.52 1867
1869 2 314.42 365.81 -49.88 0.465 1868
1870 2 315.43 366.73 -50.1 0.465 1869
1871 2 316.97 367.22 -50.48 0.405 1870
1872 2 318.23 367.73 -52.44 0.405 1871
1873 2 319.17 367.34 -53.2 0.405 1872
1874 2 319.99 367.9 -56.17 0.405 1873
1875 2 297.73 377.9 -35.6 0.865 1858
1876 2 298.27 379.47 -35.67 0.865 1875
1877 2 299.93 380.14 -35.87 0.81 1876
1878 2 302.35 380.95 -36.15 0.81 1877
1879 2 302.8 382.45 -36.21 0.81 1878
1880 2 301.69 385.67 -36.1 0.81 1879
1881 2 302.99 388.54 -36.27 0.81 1880
1882 2 308.51 397.49 -37.02 0.81 1881
1883 2 312.95 403.6 -35.6 0.81 1882
1884 2 317.45 409.9 -36.11 0.81 1883
1885 2 320.75 413.55 -36.52 0.81 1884
1886 2 325.18 419.37 -37.06 0.81 1885
1887 2 329.49 424.94 -37.6 0.81 1886
1888 2 333.44 430.24 -38.08 0.81 1887
1889 2 338.5 435.38 -38.7 0.81 1888
1890 2 341.78 441.42 -40.07 0.695 1889
1891 2 344.51 445.07 -40.46 0.695 1890
1892 2 347.04 448.91 -41.28 0.695 1891
1893 2 351.63 451.8 -41.88 0.695 1892
1894 2 357.69 455.8 -42.6 0.695 1893
1895 2 363.51 460.5 -43.36 0.695 1894
1896 2 367.41 464.74 -43.63 0.695 1895
1897 2 369.66 466.86 -41.94 0.695 1896
1898 2 371.94 469.01 -42.12 0.695 1897
1899 2 372.94 469.03 -42.13 0.29 1898
1900 2 373.96 469.21 -42.25 0.29 1899
1901 2 374.78 469.84 -42.35 0.29 1900
1902 2 375.68 470.95 -42.46 0.29 1901
1903 2 376.45 471.83 -42.55 0.29 1902
1904 2 378.57 472.27 -42.8 0.29 1903
1905 2 380.31 473.01 -43.01 0.29 1904
1906 2 382.38 473.7 -43.25 0.29 1905
1907 2 384.95 475.06 -43.55 0.29 1906
1908 2 387.06 476.08 -43.8 0.29 1907
1909 2 388.61 476.52 -43.99 0.29 1908
1910 2 390.18 476.74 -42.81 0.29 1909
1911 2 390.69 475.13 -41.55 0.29 1910
1912 2 392.05 473.31 -40.44 0.29 1911
1913 2 392.68 471.89 -40.4 0.29 1912
1914 2 394.37 469.86 -39.12 0.29 1913
1915 2 395.94 466.99 -39.23 0.29 1914
1916 2 396.16 464.98 -39.2 0.29 1915
1917 2 394.49 463.56 -38.99 0.29 1916
1918 2 374.72 471.67 -42.2 0.75 1898
1919 2 377.09 473.31 -42.49 0.75 1918
1920 2 380.35 476.65 -42.88 0.75 1919
1921 2 379.94 477.65 -41.13 0.52 1920
1922 2 379.39 478.4 -41.02 0.52 1921
1923 2 380.12 479.72 -39.96 0.465 1922
1924 2 379.14 481.08 -44.38 0.465 1923
1925 2 377.48 481.54 -45.15 0.465 1924
1926 2 376.23 484.11 -45.52 0.465 1925
1927 2 375.03 485.85 -45.75 0.465 1926
1928 2 374.36 486.94 -45.73 0.465 1927
1929 2 372.95 488.37 -45.98 0.405 1928
1930 2 370.67 489.69 -45.78 0.405 1929
1931 2 367.26 490.72 -43.33 0.405 1930
1932 2 366.14 492.05 -43.2 0.405 1931
1933 2 363.92 495.01 -43.02 0.405 1932
1934 2 362.65 496.51 -42.88 0.405 1933
1935 2 362.05 497.51 -42.82 0.405 1934
1936 2 360.9 498.09 -42.69 0.405 1935
1937 2 360.13 502.0 -42.63 0.405 1936
1938 2 359.3 503.64 -41.73 0.345 1937
1939 2 358.13 504.05 -41.6 0.345 1938
1940 2 357.22 505.52 -41.15 0.345 1939
1941 2 356.34 506.88 -41.06 0.345 1940
1942 2 354.38 509.57 -40.5 0.345 1941
1943 2 360.22 503.4 -42.85 0.345 1937
1944 2 359.81 505.33 -43.77 0.345 1943
1945 2 359.58 506.67 -44.6 0.345 1944
1946 2 359.15 507.87 -45.47 0.345 1945
1947 2 358.33 510.04 -45.84 0.345 1946
1948 2 385.42 478.96 -40.21 0.75 1920
1949 2 389.12 481.67 -39.6 0.75 1948
1950 2 391.91 483.76 -39.63 0.75 1949
1951 2 395.04 486.12 -39.96 0.75 1950
1952 2 397.41 487.76 -40.14 0.75 1951
1953 2 396.09 489.93 -39.9 0.465 1952
1954 2 394.46 490.59 -39.67 0.465 1953
1955 2 393.04 490.28 -40.05 0.465 1954
1956 2 391.68 489.95 -41.4 0.465 1955
1957 2 389.63 490.74 -41.32 0.465 1956
1958 2 387.42 493.16 -39.63 0.465 1957
1959 2 385.28 494.91 -38.03 0.465 1958
1960 2 382.6 494.88 -37.37 0.465 1959
1961 2 380.72 494.91 -37.1 0.465 1960
1962 2 378.62 498.56 -35.22 0.465 1961
1963 2 377.0 500.36 -34.95 0.465 1962
1964 2 375.41 502.02 -34.22 0.465 1963
1965 2 374.59 502.55 -34.03 0.465 1964
1966 2 374.11 505.51 -33.94 0.465 1965
1967 2 375.05 508.88 -32.81 0.465 1966
1968 2 374.75 510.18 -39.18 0.465 1967
1969 2 375.4 511.99 -39.42 0.465 1968
1970 2 375.33 513.62 -40.58 0.465 1969
1971 2 372.68 514.31 -41.33 0.465 1970
1972 2 370.99 514.64 -41.29 0.465 1971
1973 2 369.71 515.57 -41.25 0.465 1972
1974 2 367.87 514.4 -42.09 0.465 1973
1975 2 366.09 514.98 -42.29 0.465 1974
1976 2 400.12 490.64 -45.5 0.81 1952
1977 2 405.01 495.35 -47.86 0.81 1976
1978 2 411.6 500.16 -50.11 0.81 1977
1979 2 415.11 502.89 -53.35 0.81 1978
1980 2 417.83 505.04 -54.83 0.81 1979
1981 2 422.13 509.11 -56.51 0.75 1980
1982 2 423.51 511.11 -57.74 0.75 1981
1983 2 426.16 513.99 -60.03 0.75 1982
1984 2 429.4 516.16 -60.62 0.75 1983
1985 2 433.91 518.79 -62.26 0.75 1984
1986 2 437.33 520.01 -63.77 0.75 1985
1987 2 443.63 523.49 -64.62 0.75 1986
1988 2 449.56 526.8 -63.51 0.75 1987
1989 2 454.72 530.14 -62.47 0.75 1988
1990 2 457.34 531.83 -62.73 0.75 1989
1991 2 460.91 533.8 -63.15 0.75 1990
1992 2 468.04 535.41 -63.99 0.75 1991
1993 2 474.12 537.26 -64.7 0.75 1992
1994 2 477.31 538.79 -61.25 0.75 1993
1995 2 481.31 541.71 -60.52 0.75 1994
1996 2 484.73 544.12 -60.48 0.75 1995
1997 2 487.34 546.23 -60.74 0.75 1996
1998 2 489.15 549.25 -68.97 0.75 1997
1999 2 492.09 552.11 -69.28 0.75 1998
2000 2 496.18 556.65 -69.73 0.75 1999
2001 2 498.75 558.3 -71.9 0.75 2000
2002 2 503.03 560.57 -72.96 0.75 2001
2003 2 505.47 562.79 -68.88 0.695 2002
2004 2 507.64 565.49 -67.84 0.695 2003
2005 2 511.78 568.03 -68.28 0.695 2004
2006 2 520.16 572.77 -69.28 0.695 2005
2007 2 523.9 574.9 -68.36 0.695 2006
2008 2 528.69 578.04 -68.18 0.695 2007
2009 2 530.86 580.73 -74.39 0.695 2008
2010 2 532.53 582.36 -75.7 0.695 2009
2011 2 537.12 585.64 -77.4 0.695 2010
2012 2 540.16 588.1 -77.82 0.695 2011
2013 2 541.06 588.5 -76.32 0.695 2012
2014 2 542.94 590.21 -76.64 0.695 2013
2015 2 542.93 588.41 -75.88 0.58 2014
2016 2 540.35 584.92 -78.12 0.58 2015
2017 2 538.62 583.41 -78.97 0.58 2016
2018 2 536.92 581.65 -80.02 0.58 2017
2019 2 537.73 579.28 -80.91 0.58 2018
2020 2 537.37 577.01 -81.25 0.58 2019
2021 2 537.88 575.36 -81.3 0.58 2020
2022 2 539.65 573.43 -82.35 0.58 2021
2023 2 540.94 571.25 -82.84 0.58 2022
2024 2 542.78 569.91 -83.34 0.58 2023
2025 2 540.91 568.52 -83.37 0.58 2024
2026 2 539.58 567.22 -83.26 0.58 2025
2027 2 537.83 566.48 -83.05 0.52 2026
2028 2 537.36 563.98 -79.61 0.52 2027
2029 2 537.51 562.63 -79.57 0.52 2028
2030 2 537.38 560.51 -79.49 0.52 2029
2031 2 538.36 559.21 -79.59 0.52 2030
2032 2 544.6 569.97 -83.45 0.52 2024
2033 2 547.26 569.93 -83.36 0.52 2032
2034 2 550.41 568.43 -82.45 0.52 2033
2035 2 554.65 567.41 -82.58 0.52 2034
2036 2 556.94 565.52 -82.83 0.52 2035
2037 2 559.25 561.27 -84.23 0.465 2036
2038 2 560.49 558.6 -84.61 0.465 2037
2039 2 562.8 554.61 -85.6 0.52 2038
2040 2 564.6 552.78 -85.8 0.52 2039
2041 2 566.51 551.76 -86.01 0.52 2040
2042 2 565.95 549.6 -85.99 0.52 2041
2043 2 567.16 547.61 -86.11 0.52 2042
2044 2 568.87 545.36 -87.3 0.52 2043
2045 2 570.96 542.52 -86.52 0.52 2044
2046 2 573.62 537.29 -88.75 0.52 2045
2047 2 548.22 593.16 -69.87 0.75 2014
2048 2 553.58 596.77 -70.46 0.75 2047
2049 2 554.63 597.82 -75.68 0.75 2048
2050 2 556.15 598.26 -76.1 0.465 2049
2051 2 559.01 598.71 -78.5 0.465 2050
2052 2 561.89 599.51 -79.79 0.465 2051
2053 2 563.01 600.52 -79.98 0.465 2052
2054 2 565.35 601.42 -80.26 0.465 2053
2055 2 567.88 600.14 -80.59 0.465 2054
2056 2 569.03 598.92 -76.33 0.465 2055
2057 2 569.56 597.43 -76.34 0.465 2056
2058 2 569.4 596.29 -76.31 0.465 2057
2059 2 570.99 594.74 -76.48 0.465 2058
2060 2 571.39 592.86 -76.52 0.465 2059
2061 2 571.51 590.56 -75.46 0.465 2060
2062 2 570.95 589.11 -77.1 0.465 2061
2063 2 572.67 587.57 -79.8 0.465 2062
2064 2 574.68 587.0 -81.19 0.465 2063
2065 2 576.43 587.84 -84.42 0.465 2064
2066 2 578.23 587.98 -85.53 0.465 2065
2067 2 580.13 588.27 -86.0 0.465 2066
2068 2 582.21 588.55 -86.3 0.465 2067
2069 2 583.32 589.38 -86.43 0.465 2068
2070 2 585.8 590.1 -86.72 0.465 2069
2071 2 588.03 590.19 -86.98 0.465 2070
2072 2 589.33 590.74 -87.18 0.465 2071
2073 2 590.73 591.85 -87.95 0.465 2072
2074 2 592.98 592.1 -88.26 0.465 2073
2075 2 569.89 602.04 -78.52 0.465 2055
2076 2 571.8 603.34 -78.65 0.465 2075
2077 2 573.33 604.78 -78.78 0.465 2076
2078 2 574.33 606.54 -78.76 0.465 2077
2079 2 576.67 607.86 -78.88 0.465 2078
2080 2 577.77 609.27 -78.97 0.465 2079
2081 2 578.34 611.01 -79.05 0.465 2080
2082 2 579.37 611.94 -79.17 0.465 2081
2083 2 579.89 613.35 -79.24 0.465 2082
2084 2 559.5 600.42 -73.43 0.81 2049
2085 2 567.43 604.81 -74.33 0.75 2084
2086 2 572.23 606.85 -74.89 0.75 2085
2087 2 576.27 608.74 -75.37 0.75 2086
2088 2 581.65 611.77 -75.81 0.75 2087
2089 2 587.07 615.29 -76.41 0.75 2088
2090 2 591.98 618.72 -76.99 0.75 2089
2091 2 598.21 619.79 -77.72 0.75 2090
2092 2 602.19 625.84 -78.17 0.75 2091
2093 2 604.98 627.09 -78.5 0.75 2092
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1701 4 839.9346947235042 1540.016791573454 153.84701391989125 0.417 1700
1702 4 839.5927341758861 1541.1044911431295 153.825898800259 0.417 1701
1703 4 839.292113523863 1542.206526089752 153.81857889211986 0.4171 1702
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1719 4 837.5982882433854 1557.5042187186818 159.4709556502049 0.4177 1718
1720 4 838.1408031512336 1558.4737188861716 159.9405559108258 0.4178 1719
1721 4 838.8911799831907 1559.327413222607 160.2710779168024 0.4178 1720
1722 4 839.4671723762762 1560.3158305247157 160.46561855234742 0.4179 1721
1723 4 839.7462920540632 1561.367410243744 160.54135144809499 0.4179 1722
1724 4 839.0584601624319 1562.275298374989 160.52502242224608 0.4179 1723
1725 4 838.5990683039132 1563.2500646138005 160.07681881618583 0.418 1724
1726 4 838.3460354261929 1564.3177709464558 159.40395033723863 0.418 1725
1727 4 838.4278823043227 1565.4510922859445 159.0300719522839 0.4181 1726
1728 4 838.6415480726585 1566.5540091819262 159.1029894987472 0.4181 1727
1729 4 838.9565115382445 1567.6124789572839 159.60102478713947 0.4182 1728
1730 4 839.6369848621165 1568.4711451703718 160.51882865382063 0.4182 1729
1731 4 840.4181220877183 1569.2209188727506 161.70577991208066 0.4182 1730
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1733 4 840.8069539135147 1571.3378456218961 163.80771968773757 0.4183 1732
1734 4 840.518685926128 1572.4221497570206 164.0889730812389 0.4184 1733
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1740 4 838.7485180882873 1578.6957080970597 162.95917341345012 0.4186 1739
1741 4 838.4610321922327 1579.8020101487482 163.2812493715738 0.4187 1740
1742 4 838.9525529574865 1580.7932406503592 163.2007303820429 0.4187 1741
1743 4 839.5285453505722 1581.7816579524679 163.2046718710409 0.4187 1742
1744 4 839.9766036939627 1582.789072331419 163.57995793063782 0.4188 1743
1745 4 839.8402831574526 1583.9025384653114 163.99128046107373 0.4188 1744
1746 4 839.2287819815703 1584.8071491229396 164.61685107204482 0.4189 1745
1747 4 838.464471734722 1585.4656233187611 165.06026858432173 0.4189 1746
1748 4 838.4186882964797 1586.5821166357064 165.28803034142143 0.419 1747
1749 4 838.8858667953843 1587.6179721759052 165.418099478356 0.419 1748
1750 4 839.4361983546651 1588.6213431266806 165.4614558573342 0.419 1749
1751 4 839.9869264763588 1589.623209837364 165.46032971762043 0.4191 1750
1752 4 840.4678581171615 1590.6485045495685 165.42823473577943 0.4191 1751
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1759 4 839.8032837240107 1597.5104242879484 161.4405740094998 0.4194 1758
1760 4 839.8842118614621 1598.637799543384 160.77896692768974 0.4195 1759
1761 4 839.8904012490659 1599.7821078809757 160.46195859827782 0.4195 1760
1762 4 840.2725227204784 1600.8424140259572 160.4186022192996 0.4195 1761
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1784 4 842.9374698937668 1622.0953097972063 171.12256019820057 0.4205 1783
1785 4 843.4922039815168 1623.0722726480294 171.44351001661056 0.4205 1784
1786 4 843.1774227203567 1624.0316338509256 172.2461660975639 0.4205 1785
1787 4 842.9027034140674 1625.1119777789186 173.20366638915363 0.4206 1786
1788 4 842.59798713151 1626.2137373884273 173.95311236863375 0.4206 1787
1789 4 842.29287428654 1627.3170012380272 174.50576543314148 0.4207 1788
1790 4 841.4400233241623 1628.0483681062758 174.87739153866883 0.4207 1789
1791 4 840.6355719348676 1628.8469007494793 175.08544585077843 0.4208 1790
1792 4 840.2363661160399 1629.8818485521313 175.15245116374473 0.4208 1791
1793 4 840.7219298635003 1630.915092074807 175.17328474844854 0.4208 1792
1794 4 840.5191863423315 1631.975946355387 175.1958075427229 0.4209 1793
1795 4 840.0127966992299 1633.0019427439574 175.22170875613847 0.4209 1794
1796 4 839.5058028683035 1634.026902331162 175.27379271789798 0.421 1795
1797 4 839.0221048943164 1635.0622447431015 175.37908678113072 0.421 1796
1798 4 838.7305233677274 1636.1682714576757 175.56855978796398 0.421 1797
1799 4 839.0991748034849 1637.1848068574106 175.32446900501537 0.4211 1798
1800 4 838.8534929918438 1638.1832989442241 175.49789452092807 0.4211 1799
1801 4 839.2207394600321 1639.170213303023 176.47397611779422 0.4212 1800
1802 4 839.7840942577798 1640.1369441765623 177.84279893981991 0.4212 1801
1803 4 840.3322767479557 1641.1004795715867 179.50667036683998 0.4213 1802
1804 4 840.7096197700241 1642.1092879843668 181.34368577484443 0.4213 1803
1805 4 840.7714702320651 1643.2424565377364 182.81020121703529 0.4213 1804
1806 4 840.4789383042245 1644.34903709115 183.7505278779908 0.4214 1805
1807 4 839.8549174794815 1645.3072397107912 184.21393437018622 0.4214 1806
1808 4 839.2287378778369 1646.2639225665405 184.33274210998363 0.4215 1807
1809 4 838.6015718238114 1647.221296010228 184.2063329271186 0.4215 1808
1810 4 838.1630165763709 1648.2659799552289 183.93521479104078 0.4216 1809
1811 4 838.2512138700952 1649.3466423712403 183.28233529201202 0.4216 1810
1812 4 838.2887929565571 1650.4290244074273 182.3805789162514 0.4216 1811
1813 4 838.5257499917714 1651.503785187072 181.67308164110733 0.4217 1812
1814 4 838.9751991046269 1652.5566853413857 181.20122910105897 0.4217 1813
1815 4 839.1259410856846 1653.653909523195 180.95347836404076 0.4218 1814
1816 4 838.944202485514 1654.7621297545604 180.91124812477628 0.4218 1815
1817 4 838.152803942382 1655.5874309092478 181.05117098420587 0.4218 1816
1818 4 838.0453997749738 1656.632541695157 181.65337419611717 0.4219 1817
1819 4 838.4680615881808 1657.6758204889875 182.3037198807901 0.4219 1818
1820 4 839.0440539812665 1658.6642377910962 182.7916199117589 0.422 1819
1821 4 839.6030771268585 1659.6598817549166 183.10637596174342 0.422 1820
1822 4 839.1985596613845 1660.5629713518706 183.27360770923076 0.4221 1821
1823 4 838.2309538529663 1661.1679239198586 183.3614466069008 0.4221 1822
1824 4 837.3881317327673 1661.9278215140798 183.48053588162662 0.4221 1823
1825 4 836.8922647298064 1662.2221081691873 183.87327710678622 0.4221 1824
1826 4 836.0618397074732 1662.9125130158411 180.74401637728897 0.4213 1825
1827 4 835.9521665713576 1663.9285062506683 179.33690480499683 0.4209 1826
1828 4 836.1812753943188 1664.991984053559 177.6125033683643 0.4205 1827
1829 4 836.4426107470108 1666.0219830455164 176.41457224789553 0.4201 1828
1830 4 837.1591909508163 1666.813312023574 175.28618025474887 0.4197 1829
1831 4 837.6262450598108 1667.83743451101 174.52293906377568 0.4193 1830
1832 4 837.80232351427 1668.9370236696845 174.09444290270554 0.4189 1831
1833 4 837.652558159245 1670.0637644732567 173.89990226716057 0.4185 1832
1834 4 837.4506373705968 1671.1850188623725 173.84049839726185 0.4181 1833
1835 4 837.2840381914812 1672.3057129836732 173.80586960106498 0.4177 1834
1836 4 837.2025540437626 1673.4336356200588 173.8095295551346 0.4173 1835
1837 4 837.694060610912 1674.4407308560963 173.80220964699538 0.4169 1836
1838 4 838.7687479756138 1674.794325084203 173.964373765771 0.4165 1837
1839 4 839.5937396243453 1675.2920386358799 174.05728029215283 0.416 1838
1840 4 839.3037191302664 1676.3350029751618 173.81318950920414 0.4156 1839
1841 4 838.793734181873 1677.3524463654358 173.5308099759891 0.4152 1840
1842 4 839.2569776054913 1678.3177942097254 173.2087340178654 0.4148 1841
1843 4 839.8434915110792 1679.2948718568714 172.8458354951194 0.4144 1842
1844 4 839.9206592123872 1680.3474709856353 172.24363228320806 0.414 1843
1845 4 839.7934958619983 1681.458378615602 171.4311224797596 0.4136 1844
1846 4 839.7549422500798 1682.6009828423612 170.73376046203904 0.4132 1845
1847 4 839.4190787337185 1683.67193498806 170.13296492476985 0.4128 1846
1848 4 838.9302483278311 1684.7076062507103 169.61381451674532 0.4124 1847
1849 4 838.8542963390365 1685.8428374586142 169.1630770963292 0.412 1848
1850 4 838.6585796088392 1686.9658005486224 168.72697949219142 0.4116 1849
1851 4 838.6032850163766 1688.038762406306 167.99611481798766 0.4112 1850
1852 4 839.2576113793059 1688.9047951948169 167.02735312926072 0.4108 1851
1853 4 840.3771539029178 1689.1037783795953 166.26664575264343 0.4104 1852
1854 4 841.1694025309898 1689.8430260791642 165.69935287185737 0.41 1853
1855 4 841.2537653331894 1690.9351822619537 165.31167927540957 0.4095 1854
1856 4 840.8725546294806 1692.003393495455 165.08250984366768 0.4091 1855
1857 4 840.2864718223485 1692.9857842696297 164.9822834091467 0.4087 1856
1858 4 840.3762959071589 1694.0827440336084 164.9363932158126 0.4083 1857
1859 4 840.6064163996411 1695.2025766634865 164.87304785691592 0.4079 1858
1860 4 840.8371771310765 1696.3233093456315 164.78014133053406 0.4075 1859
1861 4 841.0679378625117 1697.4440420277763 164.6452860998162 0.4071 1860
1862 4 841.2623041319204 1698.5660759146601 164.46679295519172 0.4067 1861
1863 4 840.9670912489114 1699.6636863800372 164.24635110623115 0.4063 1862
1864 4 840.08691334615 1700.3686167521246 163.95524399023475 0.4059 1863
1865 4 839.3282655638927 1701.097980908411 163.2393006672378 0.4055 1864
1866 4 839.5200199155305 1702.2177174303788 162.49098082747136 0.4051 1865
1867 4 840.0062412646605 1703.245137933216 161.95353064909887 0.4047 1866
1868 4 840.5361469589235 1704.259138749383 161.64130841347026 0.4043 1867
1869 4 840.7843553103185 1705.3325512396673 161.84682891122395 0.4039 1868
1870 4 841.2523205050725 1706.3310270914028 162.40426806951496 0.4035 1869
1871 4 841.8055896682233 1707.332686176674 162.88738200670053 0.403 1870
1872 4 842.0885012432218 1708.4203663322028 163.17229535427145 0.4026 1871
1873 4 842.0748656892682 1709.5511117905926 163.17595530834112 0.4022 1872
1874 4 842.0704646411821 1710.6182583975663 162.48366091933218 0.4018 1873
1875 4 842.332325536257 1711.6970251432676 161.58415682299895 0.4014 1874
1876 4 842.8983819162532 1712.691232578698 160.77784078797603 0.401 1875
1877 4 843.4645246963636 1713.6853896651432 160.11144761238268 0.4006 1876
1878 4 844.0306674764736 1714.679546751588 159.584977296219 0.4002 1877
1879 4 844.5961700176306 1715.672803785767 159.18604230263398 0.3998 1878
1880 4 844.9160440915998 1716.7442684033826 158.73136339321982 0.3994 1879
1881 4 844.9961713495538 1717.8269715356091 157.8059580834711 0.399 1880
1882 4 845.0005766696448 1718.9525278838896 157.16321384186585 0.3986 1881
1883 4 844.6170892425567 1719.9439409629165 157.09142243511624 0.3982 1882
1884 4 844.558677817021 1720.9843441757944 156.82621653253537 0.3978 1883
1885 4 845.0889406584513 1721.95566007137 156.02834654536537 0.3974 1884
1886 4 845.6496898676519 1722.9383769046342 155.15023910359278 0.397 1885
1887 4 846.1224837609832 1723.9723490050455 154.3002851546632 0.3965 1886
1888 4 845.7853758323005 1724.943447751013 152.9019011651524 0.3961 1887
1889 4 845.2534890752539 1725.923307091775 151.64822612885453 0.3957 1888
1890 4 844.621511685368 1726.8384612146815 150.72422849374792 0.3953 1889
1891 4 844.9171363365344 1727.8909551840811 150.06628136600747 0.3949 1890
1892 4 845.7476582763609 1728.5959781322656 149.5536062613368 0.3945 1891
1893 4 846.5930552338691 1729.2764763205337 149.1310223337637 0.3941 1892
1894 4 846.5925466812125 1730.3638082805965 148.76558999666182 0.3937 1893
1895 4 846.0453413736601 1731.3130111047528 148.29232978197132 0.3933 1894
1896 4 845.2303671606243 1732.0116574617082 147.19490663095198 0.3929 1895
1897 4 844.6702598399036 1733.000091753543 146.15547967518913 0.3925 1896
1898 4 844.6207804981511 1734.123947155603 145.25372329942851 0.3921 1897
1899 4 844.8814518057408 1735.223314505218 144.4572609869006 0.3917 1898
1900 4 845.3766258801913 1736.2547771249926 143.7413176639036 0.3913 1899
1901 4 845.7787374384696 1737.296952731452 143.07605062802398 0.3909 1900
1902 4 845.320119916611 1738.246036283435 141.98482124543008 0.3905 1901
1903 4 844.7463207367183 1739.2040235229915 140.76211505125946 0.39 1902
1904 4 844.6840528668811 1740.2241046336815 139.21620675925143 0.3896 1903
1905 4 845.19023141636 1741.2426730094162 138.0678257861863 0.3892 1904
1906 4 845.7591041749276 1742.2325771889004 137.36539613975395 0.3888 1905
1907 4 845.948037572391 1743.2201614796436 137.55486914658718 0.3884 1906
1908 4 845.391575806195 1744.2011472862494 137.98589912201322 0.388 1907
1909 4 845.027856627999 1745.2856700658217 138.3476715050455 0.3876 1908
1910 4 844.3209361416741 1746.1425292292874 138.58050089085694 0.3872 1909
1911 4 843.3325188395656 1746.7185216223734 138.59429610235 0.3868 1910
1912 4 842.4016001930046 1747.3113542829822 137.99462670479454 0.3864 1911
1913 4 842.4480345856373 1748.3249186357398 137.0731628840438 0.386 1912
1914 4 842.830846644989 1749.3862112331017 136.3397643954842 0.3856 1913
1915 4 842.4177916905618 1750.388257342132 135.80963412525082 0.3852 1914
1916 4 841.5535539886002 1751.1342458437243 135.4774229097037 0.3848 1915
1917 4 841.008346802949 1752.1391129069293 135.33384009620448 0.3844 1916
1918 4 840.6862931066944 1753.2178739493893 135.35129526176715 0.384 1917
1919 4 841.1366391072046 1754.260992202429 135.4216789938746 0.3835 1918
1920 4 841.8014301902178 1755.1791442736821 135.48361667812915 0.3831 1919
1921 4 842.5830315901816 1755.9046891803382 135.96813828995684 0.3827 1920
1922 4 842.6026910278978 1756.994851717077 136.38565458881826 0.3823 1921
1923 4 842.1406859259121 1757.95401119586 136.20603530448003 0.3819 1922
1924 4 841.4401596609822 1758.8057552901414 135.58271697293645 0.3815 1923
1925 4 840.9774149477687 1759.7771513115422 134.5213302927561 0.3811 1924
1926 4 841.1411846576012 1760.8601864735479 133.3864629962556 0.3807 1925
1927 4 841.1966769493758 1761.9983333470022 132.51060783391048 0.3803 1926
1928 4 840.8769095990021 1763.0015723223391 132.336056178284 0.3799 1927
1929 4 840.3077032102746 1763.9424155755069 132.66066595076356 0.3795 1928
1930 4 840.2513292221324 1765.0635758242943 132.94304548397864 0.3791 1929
1931 4 840.5862923681715 1766.1474279317313 133.1052096027542 0.3787 1930
1932 4 840.968221737972 1767.2026376959411 132.9528992064737 0.3783 1931
1933 4 840.9781308352352 1768.2693155384932 132.07957785848444 0.3779 1932
1934 4 840.4506183102013 1769.2705841317947 131.1927428339306 0.3775 1933
1935 4 839.6936334554539 1770.1301133166876 130.42330787453196 0.3771 1934
1936 4 839.3109216907222 1771.1091531039979 129.42385887860615 0.3767 1935
1937 4 839.4452373438427 1772.157732083058 128.88866097966113 0.3762 1936
1938 4 839.8312797068942 1773.2064941122758 128.75605802837072 0.3758 1937
1939 4 839.9827515913832 1774.3297975433263 128.7498642599452 0.3754 1938
1940 4 839.8357729074812 1775.372738618593 128.17130998202197 0.375 1939
1941 4 839.5650673219203 1776.475859290118 127.65976101706505 0.3746 1940
1942 4 839.8536258521658 1777.5390681993276 127.5147705289237 0.3742 1941
1943 4 840.407162597759 1778.4889510506723 127.91117170815285 0.3738 1942
1944 4 840.961053311451 1779.4849238652037 128.26309036869011 0.3734 1943
1945 4 841.5266422527216 1780.4781305503966 128.54912985597477 0.373 1944
1946 4 842.0276380213149 1781.496941376729 128.76225179679614 0.3726 1945
1947 4 842.0006491666968 1782.564056422882 128.33994940415144 0.3722 1946
1948 4 842.2677102053735 1783.6358576458806 127.75013372909099 0.3718 1947
1949 4 842.3385952027886 1784.73447902613 127.35007259579227 0.3714 1948
1950 4 842.5190259509411 1785.725745022279 127.69579748790406 0.371 1949
1951 4 842.9607512414536 1786.779095252602 128.02265953981106 0.3706 1950
1952 4 842.6856953297814 1787.8066261453027 128.275477905541 0.3701 1951
1953 4 841.7515670066005 1788.4304958479102 128.24929515719705 0.3697 1952
1954 4 841.2021558519818 1789.305405507921 127.70058358168735 0.3693 1953
1955 4 841.3658798028894 1790.4268932108848 127.23492481006448 0.3689 1954
1956 4 841.6728660617947 1791.521724561753 126.91284885194077 0.3685 1955
1957 4 842.1110812211854 1792.5692499333213 126.83345600212357 0.3681 1956
1958 4 841.87120046215 1793.6345002989374 127.25716606941042 0.3677 1957
1959 4 842.3759205304626 1794.614219571302 128.23465534091872 0.3673 1958
1960 4 842.9519129235483 1795.6026368734103 129.13387790232346 0.3669 1959
1961 4 843.3786026555878 1796.6528276763468 129.8844500215173 0.3665 1960
1962 4 842.678018386753 1797.4728926507612 130.50157458463542 0.3661 1961
1963 4 841.874528332451 1798.2297771747394 130.99454224431602 0.3657 1962
1964 4 841.7782510768565 1799.3597231646233 131.43176598816748 0.3653 1963
1965 4 842.0245683335446 1800.3959275407276 132.2915736595921 0.3649 1964
1966 4 842.3583199393221 1801.4685643831126 133.12998467645602 0.3645 1965
1967 4 842.7431727148883 1802.537927016244 133.72712025965563 0.3641 1966
1968 4 843.2069996847945 1803.5837217341443 134.0877665029742 0.3636 1967
1969 4 843.4129100699661 1804.709676512667 134.22628168776168 0.3632 1968
1970 4 842.9968530643317 1805.7453007051536 134.166877817863 0.3628 1969
1971 4 842.3914456408849 1806.7058509389442 133.89575968178508 0.3624 1970
1972 4 842.2081337776822 1807.7090853386778 133.0446795931418 0.362 1971
1973 4 842.6184255635362 1808.776818016112 132.38053869697592 0.3616 1972
1974 4 842.7654336512874 1809.8696208812876 131.92219983349221 0.3612 1973
1975 4 842.4546345355778 1810.9722631803465 131.7352606410148 0.3608 1974
1976 4 842.0614644797381 1811.933554893195 132.277778448099 0.3604 1975
1977 4 841.1306464169381 1812.6083890164914 132.80565643890492 0.36 1976
1978 4 840.2490177876822 1813.3221508886004 133.29102265551788 0.3596 1977
1979 4 840.1919893769397 1814.360359273448 133.24147250811424 0.3592 1978
1980 4 840.6687357227302 1815.3601994515643 132.86252649444774 0.3588 1979
1981 4 841.0024873285078 1816.432836293949 132.54045053632404 0.3584 1980
1982 4 841.0571111288366 1817.5490355998245 132.5156754626222 0.358 1981
1983 4 841.0544896579561 1818.6124831386767 133.16236119322545 0.3576 1982
1984 4 841.6008468120012 1819.6181701427806 133.7580891017829 0.3571 1983
1985 4 842.1465997782216 1820.622820345519 134.30060690886714 0.3567 1984
1986 4 842.5831030721083 1821.6674081132176 134.72178316179813 0.3563 1985
1987 4 842.7873879918898 1822.7903749388852 134.97826148159766 0.3559 1986
1988 4 842.4107339284656 1823.825491051457 135.0824294051167 0.3555 1987
1989 4 841.6677130056404 1824.6861421121337 135.0824294051167 0.3551 1988
1990 4 840.8904202468093 1825.533663006902 135.0824294051167 0.3547 1989
1991 4 840.4831727884206 1826.5389220569164 135.0824294051167 0.3543 1990
1992 4 840.9365099063974 1827.5895565068865 135.0824294051167 0.3539 1991
1993 4 841.7324873100392 1828.41008025602 135.0824294051167 0.3535 1992
1994 4 842.4550619937581 1829.286573288764 135.0824294051167 0.3531 1993
1995 4 843.0310543868438 1830.2749905908722 135.0824294051167 0.3527 1994
1996 4 843.6070467799295 1831.263407892981 135.0824294051167 0.3523 1995
1997 4 843.6011195389754 1832.298342068576 135.0824294051167 0.3519 1996
1998 4 842.8724120258637 1833.1837539107908 135.0824294051167 0.3515 1997
1999 4 842.2405210360913 1834.0988576847117 135.0824294051167 0.3511 1998
2000 4 842.271803220556 1835.2431267068105 135.0824294051167 0.3506 1999
2001 4 842.4221170783807 1836.364442935243 135.0824294051167 0.3502 2000
2002 4 842.7888960933859 1837.4482730899035 135.0824294051167 0.3498 2001
2003 4 842.5059384414066 1838.5532094895152 135.0824294051167 0.3494 2002
2004 4 842.0696599318023 1839.5767750428909 135.0824294051167 0.349 2003
2005 4 841.43939440742 1840.4948667696672 135.08102173047456 0.3486 2004
2006 4 841.7146292446969 1841.5578538553598 135.08102173047456 0.3482 2005
2007 4 842.4064610116961 1842.4497157875953 135.08102173047456 0.3478 2006
2008 4 843.1930562410879 1843.2769800713027 135.07989559076083 0.3474 2007
2009 4 843.5838171109109 1844.3336405620068 135.07989559076083 0.34700000000000003 2008
2010 4 842.8649592107745 1845.213312619885 135.0787694510471 0.3466 2009
2011 4 842.2884693679165 1846.200645563264 135.07736177640496 0.3462 2010
2012 4 842.2171636838841 1847.327960847213 135.07482796204908 0.3458 2011
2013 4 842.3719728992673 1848.4571898349882 135.07257568262162 0.3454 2012
2014 4 841.8220079058092 1849.3311490937472 135.06863419362364 0.345 2013
2015 4 840.8468323868635 1849.929864716768 135.06244042519816 0.3446 2014
2016 4 839.9161826339832 1850.5821470846613 135.055120517059 0.3441 2015
2017 4 839.6863197978435 1851.6191059105367 135.04385911992182 0.3437 2016
2018 4 840.1582845152213 1852.6562232402302 135.02921930364346 0.3433 2017
2019 4 840.7144912822421 1853.6561704599976 135.00810418401122 0.3429 2018
2020 4 841.0029318515531 1854.7420175247244 134.98192143566726 0.3425 2019
2021 4 841.0151505587121 1855.8762151103306 134.93490510261947 0.3421 2020
2022 4 840.6371385978825 1856.9544835822198 134.86818132458166 0.3417 2021
2023 4 840.2569473328238 1858.0288137000016 134.79498224318988 0.3413 2022
2024 4 840.0840795481677 1859.1635774547221 134.72938460486571 0.3409 2023
2025 4 839.4352728244985 1860.0951359527899 134.61902291292122 0.3405 2024
2026 4 839.0201693991849 1861.0414314226578 133.99851993066196 0.3401 2025
2027 4 839.3179417937602 1862.1204515526967 133.78286417548478 0.3397 2026
2028 4 839.0811720807083 1862.9866670183756 134.19784665999026 0.3393 2027
2029 4 838.1503540179087 1863.661501141672 134.70714334551977 0.3389 2028
2030 4 837.5590239970104 1864.5780840382968 135.26458250381077 0.3385 2029
2031 4 837.7383373452301 1865.7036815698998 135.87382408893285 0.3381 2030
2032 4 837.9194444687598 1866.8097152989542 136.65677272489614 0.3377 2031
2033 4 838.3329743274428 1867.814681465538 137.69000591223352 0.3373 2032
2034 4 838.5638562841764 1868.9380055381255 138.37610653281692 0.3368 2033
2035 4 838.8045878538862 1870.0555898263765 138.80601036852926 0.3364 2034
2036 4 839.0454058237096 1871.1731237656418 139.00561863278594 0.336 2035
2037 4 839.285619605708 1872.2896209035414 139.015472355281 0.3356 2036
2038 4 838.9165494509157 1873.3151092266544 138.5410860008768 0.3352 2037
2039 4 838.2379030418626 1874.172621501482 137.72716852278623 0.3348 2038
2040 4 837.6441390067014 1875.1078681483878 137.16100178171388 0.3344 2039
2041 4 837.3305563989368 1876.2055352919735 136.8501872207274 0.334 2040
2042 4 837.3383068190506 1877.2867812542727 137.2204056516126 0.3336 2041
2043 4 837.580314376359 1878.383714589624 137.6987334950148 0.3332 2042
2044 4 837.6574253850013 1879.5158605397326 138.07655336896758 0.3328 2043
2045 4 837.2947856024844 1880.5521849282015 138.1866335259837 0.3324 2044
2046 4 836.6579400987764 1881.3906621219323 137.63060204233483 0.332 2045
2047 4 835.8085348201826 1882.1597200668866 137.07541516347123 0.3316 2046
2048 4 835.507031478609 1883.255672180357 136.6035626234229 0.3312 2047
2049 4 835.8611225492912 1884.3177295063347 136.34708430362335 0.3308 2048
2050 4 836.3461749524731 1885.2863405408411 136.75728069434558 0.3303 2049
2051 4 836.2025884387583 1886.357744630379 137.21787183725672 0.3299 2050
2052 4 835.319833343659 1887.0469314933387 137.33555343734042 0.3295 2051
2053 4 834.426352389466 1887.672229969664 136.83892582359022 0.3291 2052
2054 4 834.2798959835832 1888.7387092527147 136.32991067298914 0.3287 2053
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2060 4 835.841206525015 1894.5763126542154 135.09481694196762 0.3263 2059
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2068 4 834.6570678607113 1902.7460956454397 135.2569810607432 0.32299999999999995 2067
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2082 4 833.5354930434348 1917.4309160467674 135.31413265121444 0.3173 2081
2083 4 834.0202636660706 1918.4671680496267 135.40450536324042 0.3169 2082
2084 4 834.2454373992882 1919.558054702707 135.53823445424453 0.3165 2083
2085 4 834.3511939302266 1920.6483919927982 135.72658132136408 0.3161 2084
2086 4 834.8359645528622 1921.6846439956576 135.96813828995684 0.3157 2085
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2090 4 836.7718339202663 1924.302359777087 138.57684093678736 0.3141 2089
2091 4 835.6725278389201 1924.6199397505038 139.16890889127524 0.3137 2090
2092 4 834.6255531415791 1925.0499636488257 139.5591163020789 0.3133 2091
2093 4 833.7681235861405 1925.7826097690372 139.76238452040525 0.3129 2092
2094 4 833.9729623447618 1926.9065269959567 139.7908195481767 0.3125 2093
2095 4 834.1898803695735 1928.028729192761 139.67933171651845 0.3121 2094
2096 4 834.4620957929269 1929.1320174340144 139.50956615467527 0.3117 2095
2097 4 835.0183025599476 1930.1319646537818 139.28180439757557 0.3112 2096
2098 4 835.5327084216235 1931.1509469546454 138.99689105000462 0.3108 2097
2099 4 835.5596087191566 1932.2422140044514 138.65989374067414 0.3104 2098
2100 4 834.812704908946 1933.0282760365412 137.71337331129317 0.31 2099
2101 4 834.1997954866729 1933.9759526533726 136.77952195369153 0.3096 2100
2102 4 833.9058805440395 1935.0847280348166 136.04865727948777 0.3092 2101
2103 4 834.2819868940012 1936.139280197357 135.50360565804766 0.3088 2102
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2106 4 834.4085166107777 1939.4009582747847 134.7764009379135 0.3076 2105
2107 4 833.9975636408346 1940.4679830854122 134.64886561533478 0.3072 2106
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2109 4 834.1722934329434 1942.6991437138186 134.26851192702614 0.3064 2108
2110 4 834.3886072699302 1943.8203091092566 134.0232950043638 0.306 2109
2111 4 834.175660167687 1944.8408132109857 133.18967008128314 0.3056 2110
2112 4 834.143049489667 1945.8754404886463 132.72006982066222 0.3052 2111
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2115 4 835.4871760242254 1948.7955129464965 132.36702502041126 0.3039 2114
2116 4 834.6098067453638 1949.4484594592445 131.72794073287562 0.3035 2115
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2119 4 832.3102575788589 1951.6597987617547 130.23749482176828 0.3023 2118
2120 4 832.7717324443074 1952.7017558235182 129.94779538041402 0.3019 2119
2121 4 833.3372710365929 1953.6948761085973 129.77296218985907 0.3015 2120
2122 4 833.8934778036137 1954.6948233283647 129.61445802515314 0.3011 2121
2123 4 834.373580268463 1955.7232632698515 129.43849869488452 0.3007 2122
2124 4 834.2964528902878 1956.8632303472427 129.2515595024071 0.3003 2123
2125 4 834.1121370977789 1957.9557070694807 128.88359335094938 0.2999 2124
2126 4 833.8325309892552 1958.952787745292 128.00295209482096 0.2995 2125
2127 4 834.3678805036607 1959.962227331115 127.42552395661146 0.2991 2126
2128 4 834.9137972894932 1960.921874721017 127.48126787244055 0.2987 2127
2129 4 835.3655405029008 1961.9469334116002 127.74900758937729 0.2983 2128
2130 4 835.3037304637455 1963.0224189480255 127.4156702341164 0.2979 2129
2131 4 835.0075310286036 1964.104632117702 127.09612809034857 0.2974 2130
2132 4 834.9237372709886 1965.165035011033 127.48520936143856 0.297 2131
2133 4 834.7515871447838 1966.2557463541702 127.42439781689772 0.2966 2132
2134 4 834.7100346607267 1967.3431537806064 126.89173373230854 0.2962 2133
2135 4 834.7848799650255 1968.4714117255926 126.60682038473759 0.2958 2134
2136 4 834.8129698500436 1969.5420781714847 126.9227025744358 0.2954 2135
2137 4 834.5167388540808 1970.6468791476932 127.03925803480577 0.295 2136
2138 4 834.1703602686503 1971.6656256105362 126.48407115594222 0.2946 2137
2139 4 833.6732128860879 1972.6757037510833 125.83513314591153 0.2942 2138
2140 4 833.8853447068839 1973.6987276122936 124.72504092311279 0.2938 2139
2141 4 834.5679122605675 1974.5746919235862 123.9088711655948 0.2934 2140
2142 4 835.3421877262967 1975.3124920612727 123.85566106412159 0.293 2141
2143 4 835.6655358802593 1976.3899182867417 124.00037001733452 0.2926 2142
2144 4 835.6776681873046 1977.5241662213334 124.24192698592728 0.2922 2143
2145 4 835.4271841057136 1978.639345531969 124.47250409231128 0.2918 2144
2146 4 835.176146185283 1979.7535744413526 124.64705574793774 0.2914 2145
2147 4 835.4066238249327 1980.830722150639 124.64592960822401 0.2909 2146
2148 4 836.21245084155 1981.6455061154356 124.48348395452005 0.2905 2147
2149 4 836.7990969061768 1982.584080872638 124.25431452277815 0.2901 2148
2150 4 836.2439459672214 1983.449140919674 123.96574122113763 0.2897 2149
2151 4 835.2555286651129 1984.0251333127594 123.56765083233792 0.2893 2150
2152 4 834.8754462950776 1984.9179187304208 122.59579225939821 0.2889 2151
2153 4 835.1509990493248 1986.0271325283995 121.78018557173709 0.2885 2152
2154 4 835.4266382036858 1987.1362959773928 121.132936771277 0.2881 2153
2155 4 835.9008686254072 1988.1773013122083 120.69655763221078 0.2877 2154
2156 4 836.2719257789711 1989.2229903141535 120.44655461576515 0.2873 2155
2157 4 835.9634427165902 1990.3296070184483 120.34013441281868 0.2869 2156
2158 4 835.1897419986869 1991.160451365553 120.31761161854429 0.2865 2157
2159 4 835.1350296412731 1992.2026341556366 120.7134497279166 0.2861 2158
2160 4 835.7576909682302 1993.1346888760859 121.14138281912987 0.2857 2159
2161 4 836.5690172717123 1993.8681432777212 120.9006704553224 0.2853 2160
2162 4 837.1226719782396 1994.7953879735483 120.02425222312046 0.2849 2161
2163 4 836.8025868106477 1995.7684881202383 118.76832490739514 0.2844 2162
2164 4 836.4078589866624 1996.818071754339 117.72833488177544 0.284 2163
2165 4 836.8606783169287 1997.8676190539577 116.92539726589365 0.2836 2164
2166 4 837.3398226258539 1998.848932230892 116.89949605247809 0.2832 2165
2167 4 836.9151055947293 1999.8696956038007 117.21031061346459 0.2828 2166
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hbp-00938_morph-ChIN-STR_sbj1-160504_cell1_2_derived__18AUG21207_160504_no_2_Left_x63.swc

# Generated by NeuTu (https://github.com/janelia-flyem/NeuTu)
1 1 4.08994 -24.0062 -9.73955 5.7 -1
2 3 -1.68 -28.77 -8.27 2.33 1
3 3 -3.16 -31.39 -10.45 1.31 2
4 3 -4.41 -33.32 -10.45 0.965 3
5 3 -5.55 -34.8 -10.45 0.965 4
6 3 -6.57 -36.17 -10.45 0.965 5
7 3 -7.37 -37.87 -11.48 1.195 6
8 3 -7.71 -39.35 -11.48 1.195 7
9 3 -8.28 -40.38 -11.48 1.195 8
10 3 -9.65 -41.29 -12.2 0.795 9
11 3 -10.78 -41.74 -12.2 0.795 10
12 3 -12.04 -42.43 -12.2 0.795 11
13 3 -13.17 -44.02 -13.23 0.685 12
14 3 -13.63 -44.81 -13.23 0.685 13
15 3 -14.2 -45.38 -13.23 0.685 14
16 3 -14.77 -46.07 -13.23 0.685 15
17 3 -15.9 -46.29 -13.23 0.685 16
18 3 -17.72 -46.75 -14.18 0.685 17
19 3 -18.97 -47.32 -14.32 0.685 18
20 3 -20.45 -47.77 -14.63 0.685 19
21 3 -21.48 -48.68 -14.82 0.685 20
22 3 -22.5 -48.91 -14.82 0.685 21
23 3 -23.98 -49.82 -14.82 0.685 22
24 3 -25.35 -50.62 -14.82 0.685 23
25 3 -26.6 -51.41 -15.5 0.57 24
26 3 -27.39 -52.09 -15.52 0.57 25
27 3 -27.85 -52.66 -14.88 0.57 26
28 3 -28.3 -53.23 -14.77 0.57 27
29 3 -28.99 -54.71 -19.05 0.57 28
30 3 -29.45 -55.12 -19.05 0.455 29
31 3 -30.24 -56.37 -19.05 0.455 30
32 3 -30.93 -56.94 -19.05 0.455 31
33 3 -32.18 -57.17 -19.05 0.455 32
34 3 -32.97 -57.17 -19.05 0.455 33
35 3 -34.45 -57.17 -19.05 0.455 34
36 3 -35.36 -56.37 -19.05 0.455 35
37 3 -35.93 -54.89 -19.05 0.455 36
38 3 -36.16 -54.55 -19.05 0.455 37
39 3 -34.34 -58.08 -21.15 0.455 35
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949 3 -6.97 -129.21 -10.27 0.285 948
950 3 -6.67 -131.64 -10.27 0.285 949

hbp-00938_morph-ChIN-STR_sbj3-170627_cell7_derived__18AUG11642_170627_no_8_MD_x63.swc

# Generated by NeuTu (https://github.com/janelia-flyem/NeuTu)
1 1 138.889 -1752.52 -3.27356 5.418 -1
2 3 132.07 -1753.46 -8.67 1.08 1
3 3 131.27 -1753.57 -8.97 1.08 2
4 3 130.13 -1753.57 -8.97 1.08 3
5 3 129.42 -1752.14 -13.1 0.74 4
6 3 129.08 -1751.11 -13.32 0.74 5
7 3 128.06 -1750.54 -14.75 0.74 6
8 3 126.8 -1750.2 -14.82 0.74 7
9 3 126.35 -1749.75 -15.32 0.74 8
10 3 124.42 -1749.29 -15.67 0.74 9
11 3 123.85 -1748.5 -17.27 0.74 10
12 3 121.12 -1747.7 -17.07 0.91 11
13 3 118.27 -1746.68 -17.07 0.91 12
14 3 117.13 -1745.99 -17.07 0.91 13
15 3 115.09 -1745.77 -17.07 0.91 14
16 3 113.95 -1745.42 -17.07 0.91 15
17 3 113.15 -1745.08 -17.07 0.91 16
18 3 112.24 -1744.51 -17.07 0.91 17
19 3 111.56 -1744.17 -18.4 0.91 18
20 3 111.11 -1744.17 -18.4 0.91 19
21 3 108.72 -1743.72 -18.4 0.91 20
22 3 107.58 -1742.47 -18.88 0.91 21
23 3 106.44 -1742.24 -19.88 0.91 22
24 3 105.42 -1741.9 -20.6 0.91 23
25 3 104.74 -1741.67 -21.07 0.91 24
26 3 103.83 -1741.33 -21.48 0.91 25
27 3 102.46 -1740.87 -23.38 0.91 26
28 3 101.21 -1740.19 -23.5 0.91 27
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63 3 71.72 -1728.24 -21.45 0.455 62
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66 3 67.51 -1727.1 -21.25 0.455 65
67 3 66.6 -1726.53 -21.23 0.455 66
68 3 65.58 -1725.97 -21.02 0.455 67
69 3 64.67 -1725.62 -21.02 0.455 68
70 3 64.1 -1725.51 -20.42 0.455 69
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91 3 36.45 -1720.5 -27.15 0.34 90
92 3 100.53 -1738.14 -27.15 0.74 29
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101 3 96.41 -1726.42 -28.38 0.57 100
102 3 95.61 -1724.83 -33.63 0.57 101
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123 3 85.94 -1718.8 -77.47 0.57 122
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127 3 87.65 -1718.12 -83.63 0.57 126
128 3 88.33 -1719.25 -85.93 0.57 127
129 3 88.56 -1719.37 -87.1 0.57 128
130 3 88.67 -1720.05 -88.05 0.57 129
131 3 88.44 -1720.62 -89.28 0.57 130
132 3 88.21 -1720.85 -90.97 0.57 131
133 3 87.99 -1721.19 -93.5 0.57 132
134 3 88.44 -1721.64 -94.2 0.57 133
135 3 88.33 -1722.21 -100.35 0.57 134
136 3 88.1 -1723.24 -101.15 0.57 135
137 3 89.58 -1723.8 -102.32 0.57 136
138 3 90.72 -1723.24 -102.32 0.57 137
139 3 91.17 -1722.44 -102.32 0.57 138
140 3 91.51 -1721.87 -102.45 0.57 139
141 3 91.51 -1720.73 -103.82 0.57 140
142 3 91.51 -1719.94 -104.38 0.57 141
143 3 91.51 -1719.25 -105.1 0.57 142
144 3 91.51 -1718.91 -105.65 0.57 143
145 3 91.74 -1718.12 -109.9 0.57 144
146 3 92.08 -1717.43 -110.22 0.57 145
147 3 92.54 -1716.41 -110.6 0.57 146
148 3 93.33 -1715.39 -117.03 0.51 147
149 3 94.36 -1714.13 -117.88 0.51 148
150 3 95.38 -1712.2 -117.88 0.51 149
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153 3 96.41 -1709.93 -117.88 0.51 152
154 3 96.75 -1708.9 -117.88 0.455 153
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156 3 97.77 -1707.2 -117.88 0.455 155
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158 3 99.02 -1705.83 -117.88 0.455 157
159 3 100.05 -1705.03 -117.88 0.455 158
160 3 100.27 -1704.81 -117.88 0.455 159
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163 3 103 -1703.1 -117.88 0.455 162
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166 3 106.76 -1700.6 -117.88 0.4 165
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182 3 122.71 -1749.52 -17.38 0.57 11
183 3 121.91 -1750.32 -17.38 0.57 182
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223 3 90.86 -1769.2 -29.85 0.455 222
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WT-P270-20-14ak_1.03_SGA2-m12.swc

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1005 3 19.449 -36.449 -14.5074 0.520944 1004
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1020 3 19.2385 -55.5938 -31.2705 0.506482 1019
1021 3 19.6595 -55.5938 -31.5271 0.506235 1020
1022 3 21.528 -56.0148 -32.4679 0.505168 1021
1023 3 21.949 -56.2254 -32.8955 0.50485 1022
1024 3 22.1595 -57.8832 -34.6061 0.503654 1023
1025 3 22.1595 -58.0938 -35.1192 0.503377 1024
1026 3 22.1595 -60.1727 -36.2311 0.502198 1025
1027 3 22.3569 -60.5938 -36.2311 0.501966 1026
1028 3 23.3964 -63.3043 -36.2311 0.500514 1027
1029 3 23.3964 -63.7122 -36.2311 0.50031 1028
1030 3 23.3964 -66.4227 -36.2311 0.498955 1029
1031 3 23.3964 -66.8306 -37.2574 0.498403 1030
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1034 3 25.278 -72.0411 -38.9679 0.495251 1033
1035 3 26.1069 -72.8701 -39.7376 0.49455 1034
1036 3 26.7253 -72.8701 -40.0797 0.494196 1035
1037 3 29.2253 -72.8701 -40.5074 0.492928 1036
1038 3 29.4358 -72.8701 -40.935 0.49269 1037
1039 3 30.2648 -73.9096 -41.3626 0.491991 1038
1040 3 30.6858 -74.3306 -41.5337 0.491682 1039
1041 3 31.5148 -76.4096 -42.3034 0.490498 1040
1042 3 31.7253 -76.6201 -42.389 0.490343 1041
1043 3 32.9622 -79.528 -42.389 0.488763 1042
1044 3 32.9622 -79.949 -42.389 0.488553 1043
1045 3 34.0016 -82.449 -43.5863 0.487073 1044
1046 3 34.0016 -84.3175 -45.3824 0.485777 1045
1047 3 34.0016 -84.949 -45.3824 0.485461 1046
1048 3 34.0016 -86.3964 -46.8363 0.484435 1047
1049 3 34.2122 -87.028 -47.3495 0.484015 1048
1050 3 35.0411 -89.528 -48.0337 0.482654 1049
1051 3 35.2516 -89.7385 -48.0337 0.482505 1050
1052 3 35.2516 -89.9227 -48.0337 0.482413 1051
1053 3 36.9227 -92.4359 -48.9745 0.480833 1052
1054 3 37.1201 -92.6464 -49.3166 0.480609 1053
1055 3 37.7516 -93.8964 -50.0008 0.47983 1054
1056 3 37.9622 -93.8964 -50.0863 0.479716 1055
1057 3 38.7911 -96.1727 -50.1719 0.478504 1056
1058 3 38.7911 -96.3964 -50.1719 0.478392 1057
1059 3 41.0674 -97.0148 -51.1982 0.477106 1058
1060 3 41.278 -97.0148 -51.4547 0.47694 1059
1061 3 43.3569 -99.3043 -53.935 0.474958 1060
1062 3 43.3569 -99.5017 -54.3626 0.474722 1061
1063 3 46.4753 -102.843 -55.0469 0.472411 1062
1064 3 46.4753 -102.843 -55.389 0.47224 1063
1065 3 47.9358 -105.962 -56.4153 0.470444 1064
1066 3 50.2253 -109.093 -57.6982 0.468401 1065
1067 3 50.8437 -109.093 -58.2969 0.46797 1066
1068 3 53.3437 -109.093 -60.1784 0.466406 1067
1069 3 53.3437 -109.093 -61.0337 0.465978 1068
1070 3 54.1727 -109.922 -53.5074 0.46217 1069
1071 3 54.3832 -109.922 -53.3363 0.462034 1070
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1073 3 56.0411 -111.172 -50.8561 0.460361 1072
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1076 3 60.6201 -113.251 -45.4679 0.456249 1075
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1078 3 62.278 -118.87 -42.4745 0.452708 1077
1079 3 62.4885 -119.291 -42.2179 0.45244 1078
1080 3 63.7385 -122.199 -42.1324 0.450857 1079
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1084 3 60.6201 -126.988 -41.0205 0.447784 1083
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1087 3 58.1201 -131.778 -43.9284 0.444372 1086
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1090 3 57.0806 -134.896 -42.6455 0.442378 1089
1091 3 57.0806 -134.896 -42.2179 0.442164 1090
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1094 3 57.1464 -139.001 -43.0732 0.439982 1093
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1097 3 56.949 -142.541 -39.139 0.437276 1096
1098 3 56.949 -142.751 -38.9679 0.437141 1097
1099 3 56.949 -144.83 -39.6521 0.436046 1098
1100 3 56.949 -145.251 -39.8916 0.435804 1099
1101 3 56.949 -146.699 -40.5929 0.435 1100
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1747 3 -37.5247 -13.2648 99.4992 0.449463 1746
1748 3 -38.1563 -13.2648 100.782 0.448748 1747
1749 3 -38.1563 -13.8832 101.381 0.448318 1748
1750 3 -38.1563 -14.7122 101.552 0.447894 1749
1751 3 -37.9457 -14.7122 101.979 0.447656 1750
1752 3 -36.9063 -14.9227 103.433 0.446756 1751
1753 3 -36.4852 -14.9227 103.758 0.44649 1752
1754 3 -35.2352 -14.9227 106.17 0.445132 1753
1755 3 -35.2352 -14.9227 106.598 0.444918 1754
1756 3 -32.3273 -15.7517 107.453 0.443347 1755
1757 3 -29.6299 -16.8043 107.453 0.441899 1756
1758 3 -29.6299 -17.0017 107.71 0.441738 1757
1759 3 -27.551 -17.4227 108.223 0.440646 1758
1760 3 -26.9194 -17.4227 108.394 0.440319 1759
1761 3 -25.051 -15.9622 111.456 0.438383 1760
1762 3 -24.8405 -15.7517 111.729 0.438181 1761
1763 3 -24.8405 -15.5543 111.729 0.438082 1762
1764 3 -24.4194 -14.0938 112.585 0.43721 1763
1765 3 -24.0115 -13.8832 112.927 0.436924 1764
1766 3 -23.1826 -13.4622 113.44 0.436393 1765
1767 3 -22.972 -13.4622 113.525 0.436279 1766
1768 3 -21.722 -13.4622 113.953 0.435618 1767
1769 3 -21.5247 -13.4622 113.953 0.43552 1768
1770 3 -20.4852 -13.4622 113.953 0.435 1769
1771 3 -0.10363 2.1431 10.3808 0.63945 1
1772 3 2.59374 7.76152 22.44 0.632663 1771
1773 3 3.43585 11.0904 22.44 0.630946 1772
1774 3 5.09374 12.551 21.2426 0.62969 1773
1775 3 5.09374 12.9589 19.9597 0.629017 1774
1776 3 4.88322 15.2483 16.7953 0.627061 1775
1777 3 4.88322 15.6694 16.6242 0.626834 1776
1778 3 4.88322 17.1299 31.9334 0.619144 1777
1779 3 5.30427 18.5904 33.986 0.617867 1778
1780 3 5.51479 18.5904 33.986 0.617762 1779
1781 3 7.7911 18.5904 36.1242 0.6162 1780
1782 3 8.0016 18.5904 36.3808 0.616034 1781
1783 3 9.8701 18.5904 37.065 0.61504 1782
1784 3 10.5016 18.5904 37.236 0.614712 1783
1785 3 12.5806 18.5904 38.861 0.613393 1784
1786 3 12.7911 18.7878 39.2031 0.613169 1785
1787 3 13.199 21.4983 39.9729 0.611746 1786
1788 3 13.199 21.7089 40.8281 0.611305 1787
1789 3 13.199 23.9983 41.5979 0.610098 1788
1790 3 13.199 23.9983 41.7689 0.610012 1789
1791 3 13.6201 25.2483 41.6834 0.609351 1790
1792 3 14.0411 26.5773 48.3545 0.512865 1791
1793 3 14.0411 27.8273 49.7913 0.511913 1792
1794 3 14.0411 28.2483 50.4926 0.511504 1793
1795 3 13.4095 28.8668 52.5453 0.510387 1794
1796 3 13.199 28.8668 53.0584 0.510109 1795
1797 3 12.7911 28.8668 54.7689 0.50923 1796
1798 3 12.7911 29.0773 55.6242 0.50879 1797
1799 3 12.3701 30.5378 58.1045 0.507335 1798
1800 3 12.1595 30.7483 58.9597 0.506882 1799
1801 3 11.949 32.1957 64.6045 0.503967 1800
1802 3 11.949 32.1957 65.8874 0.503325 1801
1803 3 11.949 33.8668 68.7953 0.501648 1802
1804 3 11.949 33.8668 69.565 0.501264 1803
1805 3 10.5016 35.7352 71.0189 0.499876 1804
1806 3 9.6727 36.5641 71.6176 0.499218 1805
1807 3 9.2516 37.8141 72.986 0.498268 1806
1808 3 9.2516 38.2352 73.4992 0.497936 1807
1809 3 9.2516 40.3141 76.065 0.496285 1808
1810 3 9.2516 40.7352 77.4334 0.495569 1809
1811 3 8.6332 42.1957 81.3672 0.493448 1810
1812 3 8.4227 42.6036 81.8812 0.493104 1811
1813 3 9.6727 43.0246 76.065 0.460928 1812
1814 3 11.1201 43.8536 76.6637 0.460042 1813
1815 3 11.1201 44.2746 77.2624 0.459676 1814
1816 3 11.1201 45.9325 81.2822 0.457502 1815
1817 3 11.1201 45.9325 81.7102 0.457288 1816
1818 3 11.5411 48.4325 84.7032 0.455327 1817
1819 3 11.5411 48.4325 85.0452 0.455156 1818
1820 3 12.7911 49.0641 87.0982 0.453913 1819
1821 3 12.7911 49.2615 87.7822 0.453557 1820
1822 3 13.8306 50.722 89.2362 0.452403 1821
1823 3 14.0411 51.1431 89.8352 0.452022 1822
1824 3 14.449 51.3536 89.8352 0.451793 1823
1825 3 14.8701 52.1825 91.8022 0.450705 1824
1826 3 15.278 52.3931 92.7422 0.450181 1825
1827 3 15.4885 53.6299 95.2232 0.448792 1826
1828 3 15.699 53.8404 95.2232 0.448643 1827
1829 3 18.6069 56.1299 97.7032 0.446415 1828
1830 3 19.028 56.1299 98.3022 0.446049 1829
1831 3 19.028 56.3404 98.3022 0.445944 1830
1832 3 19.2385 57.1694 99.4992 0.445208 1831
1833 3 19.2385 57.801 100.098 0.444773 1832
1834 3 20.4753 59.4589 103.946 0.442588 1833
1835 3 20.6858 59.8799 104.46 0.44224 1834
1836 3 20.8964 61.1299 106.598 0.440997 1835
1837 3 20.8964 61.3404 107.111 0.44072 1836
1838 3 20.6858 62.3799 108.308 0.43992 1837
1839 3 20.2648 62.801 108.736 0.439554 1838
1840 3 20.2648 63.2089 109.078 0.439288 1839
1841 3 19.4358 64.0378 109.506 0.438664 1840
1842 3 19.028 64.4589 110.019 0.438274 1841
1843 3 17.778 65.7089 110.361 0.437374 1842
1844 3 17.778 66.5378 110.446 0.436957 1843
1845 3 17.778 67.5773 110.6 0.436432 1844
1846 3 17.3569 67.7878 111.028 0.436114 1845
1847 3 16.3174 68.2089 111.986 0.435376 1846
1848 3 16.3174 68.2089 112.738 0.435 1847
1849 3 6.13322 44.0641 80.2558 0.462611 1812
1850 3 6.13322 44.0641 80.4268 0.462526 1849
1851 3 3.22532 43.8536 81.9662 0.460877 1850
1852 3 2.59374 43.8536 81.9662 0.460562 1851
1853 3 1.3569 45.5246 82.0522 0.459521 1852
1854 3 1.14637 45.722 82.2232 0.459354 1853
1855 3 1.14637 45.9325 82.8212 0.459036 1854
1856 3 0.30427 46.5641 84.1902 0.458173 1855
1857 3 -0.31415 46.9589 84.9602 0.457641 1856
1858 3 -0.52468 47.1825 84.9602 0.457488 1857
1859 3 -2.801 48.4325 86.2422 0.456039 1858
1860 3 -3.84047 49.0641 86.9272 0.455342 1859
1861 3 -3.84047 49.2615 86.9272 0.455243 1860
1862 3 -6.12994 50.722 87.6112 0.453843 1861
1863 3 -6.34047 50.9325 87.7822 0.453671 1862
1864 3 -6.55099 51.1431 87.7822 0.453522 1863
1865 3 -8.20889 52.7878 87.8672 0.452354 1864
1866 3 -8.82731 53.4325 87.8672 0.451907 1865
1867 3 -10.4984 55.301 87.8672 0.450654 1866
1868 3 -10.4984 55.722 87.8672 0.450443 1867
1869 3 -10.7089 56.3404 87.8672 0.450117 1868
1870 3 -11.7484 58.6299 88.0382 0.448856 1869
1871 3 -11.9589 59.4589 88.2102 0.44842 1870
1872 3 -11.9589 62.9983 89.0652 0.4466 1871
1873 3 -11.9589 64.0378 89.1502 0.446078 1872
1874 3 -12.3668 68.2089 89.6632 0.443967 1873
1875 3 -12.3668 68.6168 88.0382 0.443129 1874
1876 3 -12.5773 68.8273 86.6702 0.442429 1875
1877 3 -13.4063 71.3273 84.7882 0.440811 1876
1878 3 -13.6168 71.9589 84.4462 0.440436 1877
1879 3 -13.8273 72.1562 84.2752 0.440269 1878
1880 3 -15.9063 75.0773 84.1902 0.438476 1879
1881 3 -16.1168 75.9062 84.1902 0.438048 1880
1882 3 -16.9457 78.4062 84.1902 0.436731 1881
1883 3 -16.9457 78.8273 84.1902 0.43652 1882
1884 3 -17.5642 80.2746 84.1902 0.435733 1883
1885 3 -17.5642 80.6957 84.1902 0.435523 1884
1886 3 -17.7747 80.9062 84.1902 0.435374 1885
1887 3 -18.1957 81.5246 84.1902 0.435 1886
1888 3 13.4095 26.4983 38.69 0.526453 1791
1889 3 13.4095 26.6957 38.3479 0.526256 1888
1890 3 13.8306 27.9457 36.2953 0.525036 1889
1891 3 14.2385 28.1562 36.1242 0.524791 1890
1892 3 15.4885 27.5378 34.7558 0.523814 1891
1893 3 15.4885 27.5378 34.5847 0.523728 1892
1894 3 16.3174 27.5378 33.3018 0.522964 1893
1895 3 16.949 27.5378 32.2755 0.522362 1894
1896 3 17.778 27.7483 30.565 0.521406 1895
1897 3 17.778 27.9457 30.2229 0.521208 1896
1898 3 18.6069 30.0378 33.1308 0.51937 1897
1899 3 18.6069 30.0378 32.7887 0.519199 1898
1900 3 18.6069 31.9062 28.7689 0.516982 1899
1901 3 18.6069 32.1168 27.9992 0.516583 1900
1902 3 19.028 34.8141 25.0058 0.514558 1901
1903 3 19.2385 35.0246 24.8347 0.514386 1902
1904 3 20.4753 37.1036 23.4492 0.512992 1903
1905 3 20.4753 37.1036 23.1242 0.51283 1904
1906 3 21.3174 38.3536 22.0124 0.511893 1905
1907 3 21.7253 38.5641 21.5847 0.511579 1906
1908 3 22.9753 39.3931 20.986 0.510772 1907
1909 3 23.1858 39.8141 20.986 0.510537 1908
1910 3 24.0016 41.0641 20.986 0.50979 1909
1911 3 24.0016 41.6825 20.986 0.509481 1910
1912 3 24.0016 42.9325 20.986 0.508856 1911
1913 3 24.0016 43.3404 20.4729 0.508528 1912
1914 3 24.0016 45.222 20.0453 0.507564 1913
1915 3 25.8832 46.2615 20.2163 0.506485 1914
1916 3 25.8832 46.472 20.8834 0.506136 1915
1917 3 27.5543 49.5904 20.2163 0.504335 1916
1918 3 27.7516 49.801 19.9597 0.504142 1917
1919 3 28.1727 52.0773 17.4795 0.502446 1918
1920 3 28.1727 52.301 16.7097 0.502045 1919
1921 3 27.9622 54.801 15.2558 0.500595 1920
1922 3 28.1727 55.0115 14.9137 0.500369 1921
1923 3 28.5937 57.301 14.315 0.499167 1922
1924 3 29.2122 57.7089 14.315 0.498796 1923
1925 3 30.0411 58.3404 14.315 0.498275 1924
1926 3 30.0411 58.7615 14.315 0.498065 1925
1927 3 30.0411 61.8799 14.315 0.496506 1926
1928 3 30.0411 62.4983 14.315 0.496196 1927
1929 3 32.1201 65.6299 14.0584 0.494313 1928
1930 3 32.3306 65.8273 14.0584 0.494168 1929
1931 3 33.1595 69.9983 13.9729 0.492042 1930
1932 3 33.5806 70.2089 13.9729 0.491806 1931
1933 3 36.0674 72.9062 11.8347 0.489683 1932
1934 3 36.4885 72.9062 11.4926 0.489412 1933
1935 3 40.028 75.6168 10.8939 0.487163 1934
1936 3 40.028 75.8273 10.8084 0.487049 1935
1937 3 41.8964 79.5641 10.8084 0.48496 1936
1938 3 43.3569 84.5641 15.3413 0.481508 1937
1939 3 43.3569 84.7746 15.5124 0.481372 1938
1940 3 43.7648 89.7615 13.2031 0.478617 1939
1941 3 43.7648 89.972 12.4334 0.478218 1940
1942 3 43.9753 93.1036 8.2426 0.4756 1941
1943 3 43.9753 93.1036 7.7124 0.475335 1942
1944 3 43.9753 96.222 5.4203 0.473399 1943
1945 3 43.9753 96.222 5.1637 0.473271 1944
1946 3 43.9753 98.2878 1.9821 0.471374 1945
1947 3 43.9753 98.5115 1.2295 0.470982 1946
1948 3 43.5543 102.051 -0.823198 0.468925 1947
1949 3 43.5543 102.051 -1.3363 0.468669 1948
1950 3 44.5937 103.696 -3.56 0.467191 1949
1951 3 45.8437 104.959 -5.6126 0.465834 1950
1952 3 46.0543 105.157 -6.2113 0.465501 1951
1953 3 47.9227 106.209 -9.1192 0.463695 1952
1954 3 48.3437 106.209 -9.46133 0.463424 1953
1955 3 49.7911 106.841 -11.9416 0.461953 1954
1956 3 50.8306 107.249 -11.9416 0.461395 1955
1957 3 51.2516 107.459 -13.4811 0.46059 1956
1958 3 51.028 108.38 -15.7903 0.459342 1957
1959 3 51.028 108.38 -16.6455 0.458915 1958
1960 3 51.028 110.67 -19.5534 0.457064 1959
1961 3 51.028 111.078 -20.3232 0.456628 1960
1962 3 52.0806 112.13 -22.2048 0.455429 1961
1963 3 52.2911 112.13 -22.7179 0.455151 1962
1964 3 52.7122 112.13 -26.9087 0.453046 1963
1965 3 52.9095 112.13 -27.8495 0.452565 1964
1966 3 54.9885 113.17 -32.0403 0.450169 1965
1967 3 54.9885 113.367 -32.2113 0.450038 1966
1968 3 57.0674 115.038 -33.4942 0.448558 1967
1969 3 57.4885 115.249 -34.0929 0.448178 1968
1970 3 57.9095 116.078 -37.0863 0.44661 1969
1971 3 58.1069 116.078 -38.0271 0.44613 1970
1972 3 59.9885 116.709 -39.6521 0.444847 1971
1973 3 59.9885 117.328 -39.9942 0.444494 1972
1974 3 61.4358 119.828 -43.4153 0.442255 1973
1975 3 61.4358 120.038 -43.4153 0.44215 1974
1976 3 62.4753 121.696 -44.6126 0.441003 1975
1977 3 62.4753 121.907 -44.9547 0.440802 1976
1978 3 61.028 123.367 -47.5205 0.439158 1977
1979 3 61.028 123.985 -48.6324 0.438522 1978
1980 3 61.2253 126.696 -49.4876 0.437097 1979
1981 3 61.2253 127.314 -49.6587 0.436776 1980
1982 3 60.6069 128.985 -50.0863 0.43586 1981
1983 3 59.9885 129.393 -50.1719 0.435487 1982
1984 3 59.778 129.393 -50.1719 0.435382 1983
1985 3 59.3569 130.025 -50.2574 0.435 1984
1986 3 7.17269 1.18257 -5.9547 1.04069 1
1987 3 7.38322 -0.2648 -5.9547 0.925777 1986
1988 3 6.75164 -1.5148 -5.9547 0.827653 1987
1989 3 6.34374 -1.93585 -5.9547 0.789733 1988
1990 3 6.34374 -2.14638 -5.9547 0.776544 1989
1991 3 5.51479 -3.59374 -5.9547 0.679541 1990
1992 3 5.51479 -3.80427 -5.8692 0.6673 1991
1993 3 5.30427 -4.43585 -5.9547 0.632413 1992
1994 3 5.09374 -4.64638 -5.9547 0.617527 1993
1995 3 5.09374 -4.84374 -5.9547 0.607854 1994
1996 3 4.26479 -5.47532 -5.8692 0.559075 1995
1997 3 3.43585 -6.72532 -3.8166 0.456188 1996
1998 3 3.43585 -6.93585 -3.4745 0.441761 1997
1999 3 4.26479 -8.38322 -2.0205 0.436053 1998
2000 3 4.47532 -8.38322 -1.6784 0.435852 1999
2001 3 4.67269 -9.22532 -0.9942 0.435301 2000
2002 3 4.88322 -9.42269 -0.908699 0.43515 2001
2003 3 5.09374 -9.62006 -0.823198 0.435 2002
2004 3 2.18585 11.3799 5.7624 0.556017 1
2005 3 2.39637 14.0904 3.2821 0.554177 2004
2006 3 2.59374 14.301 2.8545 0.553919 2005
2007 3 2.80427 16.1694 8.8413 0.550781 2006
2008 3 3.01479 16.1694 8.8413 0.550676 2007
2009 3 3.01479 17.6299 10.2097 0.549675 2008
2010 3 2.80427 17.8404 10.4663 0.549479 2009
2011 3 1.97532 20.3404 11.6637 0.548032 2010
2012 3 1.76479 20.9589 11.6637 0.547705 2011
2013 3 1.14637 23.0378 11.6637 0.546621 2012
2014 3 0.93585 23.4589 11.9203 0.546353 2013
2015 3 0.93585 23.8799 11.9203 0.546142 2014
2016 3 1.3569 24.6957 12.0058 0.545681 2015
2017 3 1.55427 25.7483 12.0913 0.545144 2016
2018 3 1.97532 26.3668 12.5189 0.544713 2017
2019 3 1.97532 27.2089 12.7755 0.544273 2018
2020 3 1.97532 28.8668 12.861 0.543443 2019
2021 3 2.39637 29.0773 12.1768 0.543028 2020
2022 3 2.59374 29.4983 11.6637 0.542682 2021
2023 3 3.63322 31.7878 11.1505 0.541399 2022
2024 3 5.71216 31.9852 10.6374 0.474434 2023
2025 3 5.71216 31.9852 10.3808 0.474306 2024
2026 3 6.96216 34.2746 12.861 0.472506 2025
2027 3 8.6332 37.1957 13.4597 0.470797 2026
2028 3 9.2516 37.8141 14.0584 0.470267 2027
2029 3 10.0806 39.6957 16.7097 0.46859 2028
2030 3 10.2911 40.1036 17.1374 0.468276 2029
2031 3 10.8964 41.7746 18.0781 0.467271 2030
2032 3 10.8964 42.1957 18.0781 0.46706 2031
2033 3 12.1595 45.5246 21.0716 0.464734 2032
2034 3 12.1595 45.5246 21.5847 0.464478 2033
2035 3 13.6201 49.0641 23.9795 0.46222 2034
2036 3 15.699 51.551 23.9795 0.460599 2035
2037 3 17.9885 55.5115 24.065 0.458311 2036
2038 3 18.199 55.722 24.065 0.458162 2037
2039 3 20.0543 58.0115 24.065 0.456689 2038
2040 3 20.2648 58.0115 24.065 0.456584 2039
2041 3 21.1069 59.8799 24.236 0.455555 2040
2042 3 21.5148 60.0904 24.4071 0.455311 2041
2043 3 22.7648 61.551 24.6637 0.454341 2042
2044 3 22.7648 61.7483 24.6637 0.454242 2043
2045 3 25.0543 66.3273 22.7821 0.451515 2044
2046 3 25.0543 66.5378 22.5939 0.451374 2045
2047 3 27.9622 68.4194 22.5939 0.449642 2046
2048 3 28.1727 68.8273 22.5255 0.44941 2047
2049 3 28.3832 70.7089 22.5939 0.448463 2048
2050 3 28.5937 70.9062 22.5255 0.448314 2049
2051 3 28.5937 71.1168 22.5255 0.448209 2050
2052 3 30.6727 72.3668 22.5255 0.446996 2051
2053 3 31.0806 72.5773 22.5939 0.446764 2052
2054 3 31.2911 72.7878 22.5939 0.446615 2053
2055 3 31.7122 74.0378 22.5255 0.445955 2054
2056 3 32.5411 74.8668 22.5255 0.445369 2055
2057 3 34.4095 76.5378 22.5939 0.444115 2056
2058 3 34.8306 77.3668 22.5939 0.44365 2057
2059 3 35.028 77.7878 22.5939 0.443418 2058
2060 3 36.0674 78.8273 22.5255 0.442682 2059
2061 3 36.4885 79.2352 22.5939 0.442387 2060
2062 3 39.8174 80.0773 20.5584 0.440391 2061
2063 3 40.028 80.2746 19.6176 0.439899 2062
2064 3 41.8964 81.5246 16.2821 0.437888 2063
2065 3 43.5543 82.7746 16.2821 0.436849 2064
2066 3 43.7648 82.7746 16.2821 0.436744 2065
2067 3 45.0148 82.9852 19.5321 0.435 2066
2068 3 3.43585 34.4852 9.3545 0.499266 2023
2069 3 3.01479 35.1168 9.3545 0.498886 2068
2070 3 1.55427 37.4062 14.6571 0.495907 2069
2071 3 1.55427 37.8141 14.9992 0.495641 2070
2072 3 1.55427 40.1036 15.3413 0.494484 2071
2073 3 1.55427 40.5246 15.4268 0.494269 2072
2074 3 0.72532 44.0641 15.5124 0.492451 2073
2075 3 0.51479 44.4852 15.5124 0.492215 2074
2076 3 0.51479 45.1036 15.5124 0.491906 2075
2077 3 0.51479 47.801 15.5124 0.490557 2076
2078 3 0.51479 48.4325 15.5124 0.490242 2077
2079 3 0.1069 51.551 17.8216 0.488291 2078
2080 3 0.1069 51.7483 18.0781 0.488129 2079
2081 3 0.1069 54.051 18.9334 0.486901 2080
2082 3 0.1069 54.2615 19.7031 0.486502 2081
2083 3 0.93585 58.222 21.311 0.484325 2082
2084 3 0.93585 62.3799 21.6703 0.482238 2083
2085 3 1.76479 63.2089 21.6703 0.481652 2084
2086 3 2.39637 67.7878 22.3545 0.479315 2085
2087 3 2.59374 71.3273 22.6966 0.477535 2086
2088 3 2.59374 71.9589 22.7821 0.477216 2087
2089 3 2.18585 75.0773 23.4492 0.475609 2088
2090 3 1.97532 75.2878 23.8768 0.475348 2089
2091 3 0.30427 78.8273 22.2689 0.473232 2090
2092 3 0.30427 79.0246 22.2689 0.473134 2091
2093 3 -0.72205 82.3668 22.2689 0.471386 2092
2094 3 -0.93257 82.7746 22.0979 0.471141 2093
2095 3 -3.6431 86.5246 19.4466 0.468474 2094
2096 3 -3.84047 86.7352 19.2755 0.468306 2095
2097 3 -3.84047 87.1431 19.2755 0.468103 2096
2098 3 -4.68257 90.2746 18.5913 0.466445 2097
2099 3 -4.87994 90.8931 18.2492 0.466079 2098
2100 3 -7.59047 96.0904 17.8216 0.46314 2099
2101 3 -7.78784 96.301 17.8216 0.462996 2100
2102 3 -7.99836 96.5115 17.8216 0.462847 2101
2103 3 -9.66942 99.4197 17.8216 0.46117 2102
2104 3 -9.87994 99.6297 17.8216 0.461021 2103
2105 3 -11.5378 105.88 15.6834 0.457616 2104
2106 3 -11.5378 106.499 15.6834 0.457307 2105
2107 3 -12.3668 109.63 15.5124 0.455685 2106
2108 3 -12.5773 110.038 15.2558 0.455422 2107
2109 3 -12.7878 110.249 15.2558 0.455273 2108
2110 3 -15.0773 113.17 13.7163 0.453264 2109
2111 3 -15.2747 113.578 13.6308 0.453033 2110
2112 3 -16.7352 115.459 13.0321 0.451805 2111
2113 3 -17.1563 116.078 13.0321 0.451431 2112
2114 3 -19.4457 118.157 12.69 0.449875 2113
2115 3 -19.6431 118.367 12.6045 0.449725 2114
2116 3 -22.972 119.407 11.4926 0.447895 2115
2117 3 -23.1826 119.407 11.236 0.447729 2116
2118 3 -25.8799 119.407 10.3808 0.446314 2117
2119 3 -26.5115 119.407 10.3808 0.445998 2118
2120 3 -30.6694 122.525 13.8018 0.442887 2119
2121 3 -30.8799 122.735 14.5716 0.442474 2120
2122 3 -32.5378 125.025 16.6242 0.440728 2121
2123 3 -32.5378 125.446 17.3939 0.440289 2122
2124 3 -33.1563 126.907 20.3018 0.438633 2123
2125 3 -33.1563 127.104 20.3018 0.438534 2124
2126 3 -33.1563 130.235 22.5255 0.436614 2125
2127 3 -33.1563 130.235 22.9531 0.4364 2126
2128 3 -32.9589 131.893 25.0058 0.435077 2127
2129 3 -32.9589 131.893 25.1597 0.435 2128
2130 2 -7.06 0 0 0.5 1
2131 2 -37.06 0 0 0.5 2130
2132 2 -67.06 0 0 0.5 2131

w_neuroan.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Моделирование нейроансамбля"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В мозге нейрон активируется лишь на малые интервалы времени. Эта активация нейрона на электрограмме выглядит как спайк - острый \"шип\". \n",
    "Задача правдоподобного моделирования нейроансамбля - структурная модель группы соединенных между собой клеток, на выходе выдающая активность, повторяющую записи в реальных экспериментах на живом мозге."
   ]
  },
  {
   "attachments": {
    "997931eb-6bce-4232-a323-f28573eb2353.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![изображение.png](attachment:997931eb-6bce-4232-a323-f28573eb2353.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Среда моделирования NEURON - это мощный движок для моделирования нейронов и биофизических нейронных сетей. Пакет позволяет создавать биологически реалистичные мембраны с активными и пассивными ионными каналами в сочетании с виртуальными контактами и электрофизиологическими инструментами для управления и измерения поведения нейронов и сетей.\n",
    "В NEURON скрипты могут: настраивать модель, определять и выполнять\n",
    "экспериментальный протокол, записывать данные. То есть можно проводить симуляционные эксперименты."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Большая часть программного кода NEURON была выполнена с помощью hoc, интерпретируемого языка с C-подобным синтаксисом (Kernighan and Pike, 1984), который был расширен, чтобы включить функции, специфичные для области моделирования нейронов, реализации графического интерфейса и объектно-ориентированного программирования. Это обеспечивает огромную степень гибкости для настройки анатомических и биофизических свойств модели, определения внешнего вида графического интерфейса, управления моделированием и отображения результатов.\n",
    "\n",
    "Начиная с 2006 года, Python был добавлен в качестве альтернативного интерпретатора. Эта функция теперь является частью стандартного дистрибутива, так что программы могут разрабатываться полностью на Python или в комбинации Python и hoc, в которой к переменным hoc, объектам и т.д. можно получить доступ из Python или наоборот (Hines et al., 2009)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "NetPyNE - пакет Python для разработки сетей для NEURON.\n",
    "\n",
    "[GUI](http://netpyne.opensourcebrain.org) - наглядный пример компонентов модели:\n",
    "- клетки\n",
    "- популяции сети\n",
    "- синаптические механизмы\n",
    "- соединения\n",
    "- источники стимулов\n",
    "- получатели стимулов\n",
    "- конфигурация симуляции и отображения сигналов."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Примеры работ моделирования правдоподобных нейросетей\n",
    "\n",
    "https://www.biorxiv.org/content/10.1101/2021.12.07.471404v1 - оптимальное расположение ГАМК-каналов для поддержания эффективной концентрации $Cl^{-}$ в пределах дендритов сложного нейрона.\n",
    "\n",
    "https://www.frontiersin.org/articles/10.3389/fncel.2021.622870/full\n",
    "https://www.frontiersin.org/articles/10.3389/fninf.2019.00037/full\n",
    "В этой работе представлено первое моделирование крупномасштабной, вдохновленной биологией модели мозжечка, выполненной на нейроморфном оборудовании. Сеть, содержащая 97 тыс. нейронов и 4,2 млн синапсов, моделируется на нейроморфной системе SpiNNaker. Та же модель также моделируется с использованием NEST, популярного симулятора спайковых нейронных сетей, использующего обычные вычислительные ресурсы и арифметику с плавающей запятой двойной точности в качестве основы для валидации.\n",
    "Схема мозжечка, выбранная для этой работы, была сгенерирована на основе каркасной модели, способной создавать\n",
    "произвольные объемы мозжечка мыши. Размеры используемого объема составляют\n",
    "400×400×900 мкм. Клетки помещали в пределах определенного объема в соответствии с полученными в литературе\n",
    "расстояниями между сомами. Структурная связь между клетками была создана в соответствии с\n",
    "коэффициентами конвергенции и дивергенции и геометрическими расширениями аксональных и дендритных полей каждого\n",
    "типа клеток. Затем каждое соединение было функционально определено путем установки определенных весов\n",
    "и задержек, полученных из литературы."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Биофизические механизмы в NEURON\n",
    "\n",
    "\n",
    "NEURON поставляется с несколькими встроенными биофизическими механизмами, которые могут быть добавлены в модель:\n",
    "\n",
    "=|описание\n",
    "-|-\n",
    "pas | пассивный канал (“утечка”).\n",
    "extracellular | Для имитации эффектов ненулевого внеклеточного потенциала.\n",
    "hh | натриевые, калиевые и каналы утечки по модели Ходжкина-Хаксли."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### BioNet \n",
    " интерфейс к NEURON от \n",
    "[института Аллена](https://alleninstitute.github.io/bmtk/)\n",
    "[публикация](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201630)\n",
    "\n",
    "### [NetPyNE](http://www.netpyne.org)\n",
    "интерфейс к NEURON от [neurosimlab](http://www.neurosimlab.com).\n",
    "[туториал по GUI](https://youtu.be/Hck_bLKm7v8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Симуляционное моделирование в Brian2\n",
    "\n",
    "Типовое применение - моделирование работы сети случайно-связанных возбудимых нейронов с экспоненциальными синаптическими токами.\n",
    "\n",
    "[Симулятор Brian2](https://briansimulator.org)  - это бесплатный симулятор с открытым исходным кодом для создания нейронных сетей. Он написан на языке программирования Python и доступен практически на всех платформах.\n",
    "\n",
    "- [туториалы](https://brian2.readthedocs.io/en/stable/resources/tutorials/index.html) с запуском в облаке.\n",
    "- [Учебник по нейродинамике](https://neuronaldynamics-exercises.readthedocs.io/en/latest/exercises/neuron-type.html) - разные модели\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Упражнения](https://neuronaldynamics-exercises.readthedocs.io/) к [учебнику \"Нейронная динамика\"](https://neuronaldynamics.epfl.ch)  Вульфрама Герстнера, Вернера М. Кистлера, Ричарда Науда и Лиама Панински."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Поддерживает [структурное моделирование](https://brian2.readthedocs.io/en/stable/user/multicompartmental.html).\n",
    "Для отображения 3D структур надо доставить дополнительные пакеты.\n",
    "```\n",
    "mamba install brain2\n",
    "mamba install -c brian-team brian2tools\n",
    "mamba install mayavi\n",
    "```\n",
    "\n",
    "для визуализации 2D на colab достаточно:\n",
    "```\n",
    "!pip install brian2tools\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from brian2tools import *\n",
    "from brian2 import *\n",
    "\n",
    "from scipy import stats\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Морфология нейронов\n",
    "\n",
    "- [neuromorpho.org](http://neuromorpho.org/)  (может потребоваться VPN)\n",
    "- [brain-map.org](https://celltypes.brain-map.org/data?nr__reconstruction_type=[full]) - с активностью\n",
    "- [primatedatabase.com](https://primatedatabase.com/morphology.html) - выбор и визуализация\n",
    "    \n",
    "![изображение.png](attachment:787e495c-235f-447c-a303-c82c3f422c88.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Простейшая: тело и аксон."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "( )  [root] \n",
       "   `----------------------------------------|  .axon"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "morpho1 = Soma(30*um)\n",
    "morpho1.axon = Cylinder(diameter=1*um, length=300*um, n=40)\n",
    "morpho1.topology()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Поскольку аксон длинный, то всего в модели 41 компартмент, в каждом из которых мы можем измерить потенциал."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Есть стандарт именования отростков в форме дерева: правые R, левые L. При визуализации они переворачиваются как идущие наверх и вниз."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "( )  [root] \n",
       "   `---|  .L\n",
       "        `---|  .L.1\n",
       "        `---|  .L.2\n",
       "        `---|  .L.3\n",
       "   `---|  .R\n",
       "        `---|  .R.L\n",
       "        `---|  .R.R"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "morpho2 = Soma(10*um)\n",
    "morpho2.L=Cylinder(length = 10*um, diameter=1*um, n=3)\n",
    "morpho2.L1=Cylinder(length = 5*um, diameter=1*um, n=3)\n",
    "morpho2.L2=Cylinder(length = 5*um, diameter=1*um, n=3)\n",
    "morpho2.L3=Cylinder(length = 5*um, diameter=1*um, n=3)\n",
    "morpho2.R=Cylinder(length = 10*um, diameter=1*um, n=3)\n",
    "morpho2.RL=Cylinder(length = 5*um, diameter=1*um, n=3)\n",
    "morpho2.RR=Cylinder(length = 5*um, diameter=1*um, n=3) \n",
    "\n",
    "print(morpho2.total_compartments)\n",
    "\n",
    "morpho2.topology()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Если попытаться визуализировать такую морфологию, то выпадет ошибка \n",
    "```py\n",
    "TypeError: Object of type <class 'NoneType'> does not have dimensions\n",
    "```\n",
    "Поэтому нужно сгенерировать пространственные координаты для 3D модели. Для правдоподобия добавляются случайные вариацию в форму.\n",
    "\n",
    "> Можно поменять уровень случайности (параметр $\\beta$ экспоненциального распределения), и понаблюдать в каких пределах варьирует морфология. (для многократного выполнения текущей ячейки нажимайте Ctrl-Enter)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "morpho2 = morpho2.generate_coordinates(section_randomness=30, compartment_randomness=15, overwrite_existing=True) \n",
    "plot_morphology(morpho2, plot_3d=False, show_diameter=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Без добавления случайности в координаты модель будет представлять собой правильно ориентированные цилиндры (сома - сфера)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "morpho1 = morpho1.generate_coordinates() \n",
    "plot_morphology(morpho1, plot_3d=False, show_diameter=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Модели каналов\n",
    "\n",
    "Нейрон = морфология с ионными каналами.\n",
    "\n",
    "По умолчанию вольтаж во всем компартментах равен 0. Но все параметры можно настроить. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Модели, в которых можно почерпнуть образцы настроек](https://senselab.med.yale.edu/ModelDB/ModelList?id=231240&allsimu=true). Много настроек по различным публикациям включено в [документацию к пакету](https://brian2.readthedocs.io/en/stable/examples/index.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "По умолчанию стимуляция запускается с квантованием в 100 мкс."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$100.0\\,\\mathrm{\\mu}\\mathrm{s}$"
      ],
      "text/plain": [
       "100. * usecond"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "defaultclock.dt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Можно задать поподробнее, чтобы отследить скорость распространения потенциала действия (ПД)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "defaultclock.dt = 20*us"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting simulation at t=0. s for a duration of 50. ms\n",
      "50. ms (100%) simulated in < 1s\n",
      "Starting simulation at t=100. ms for a duration of 50. ms\n",
      "50. ms (100%) simulated in < 1s\n"
     ]
    }
   ],
   "source": [
    "morpho = morpho1\n",
    "\n",
    "# каналы по Ходжкину \n",
    "El = 10.613*mV\n",
    "ENa = 115*mV\n",
    "EK = -12*mV\n",
    "gl = 0.3*msiemens/cm**2\n",
    "gNa0 = 120*msiemens/cm**2\n",
    "gK = 36*msiemens/cm**2\n",
    "\n",
    "# Уравнения Ходжкина-Хаксли (1952).\n",
    "# https://brian2.readthedocs.io/en/stable/examples/compartmental.hh_with_spikes.html\n",
    "eqs = '''\n",
    "Im = gl * (El-v) + gNa * m**3 * h * (ENa-v) + gK * n**4 * (EK-v) : amp/meter**2\n",
    "I : amp (point current) # applied current\n",
    "dm/dt = alpham * (1-m) - betam * m : 1\n",
    "dn/dt = alphan * (1-n) - betan * n : 1\n",
    "dh/dt = alphah * (1-h) - betah * h : 1\n",
    "alpham = (0.1/mV) * 10*mV/exprel((-v+25*mV)/(10*mV))/ms : Hz\n",
    "betam = 4 * exp(-v/(18*mV))/ms : Hz\n",
    "alphah = 0.07 * exp(-v/(20*mV))/ms : Hz\n",
    "betah = 1/(exp((-v+30*mV) / (10*mV)) + 1)/ms : Hz\n",
    "alphan = (0.01/mV) * 10*mV/exprel((-v+10*mV)/(10*mV))/ms : Hz\n",
    "betan = 0.125*exp(-v/(80*mV))/ms : Hz\n",
    "gNa : siemens/meter**2\n",
    "'''\n",
    "\n",
    "# модель нейрона\n",
    "neuron = SpatialNeuron(morphology=morpho, model=eqs, method=\"exponential_euler\",\n",
    "                       refractory=\"m > 0.4\", threshold=\"m > 0.5\",\n",
    "                       Cm=1*uF/cm**2, Ri=35.4*ohm*cm)\n",
    "neuron.v = 0*mV\n",
    "neuron.h = 1\n",
    "neuron.m = 0\n",
    "neuron.n = .5\n",
    "neuron.I = 0*amp\n",
    "neuron.gNa = gNa0\n",
    "\n",
    "# симуляция и мониторинг\n",
    "M = StateMonitor(neuron, 'v', record=True)\n",
    "spikes = SpikeMonitor(neuron)\n",
    "\n",
    "# без магии\n",
    "net = Network()\n",
    "net.add([neuron, M, spikes])\n",
    "run = net.run\n",
    "\n",
    "run(50*ms, report='text')\n",
    "neuron.I[0] = 0.3*nA # стимул = подача тока в нулевой компартмент (сому)\n",
    "run(50*ms)\n",
    "neuron.I = 0*amp\n",
    "run(50*ms, report='text')\n",
    "\n",
    "net.stop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<statemonitor.t: array([0.0000e+00, 2.0000e-02, 4.0000e-02, ..., 1.4994e+02, 1.4996e+02,\n",
       "       1.4998e+02]) * msecond>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "M.t"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Соответственно для каждого временного шага в мониторе состояния записываются значения в каждом компартменте. (В отчетах они могут называться \"нейронами\", поскольку обычно большие нейросети моделируют без структуры)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<statemonitor.N: 7500>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "M.N"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(41, 7500)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "M.v.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$105.63172105009\\,\\mathrm{m}\\mathrm{V}$"
      ],
      "text/plain": [
       "105.63172105 * mvolt"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "M.v.max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Отобразим временную развертку в каждом 4-м компартменте с наложением для сравнения."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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j1+GS482t7ViONQorPd0jy3Cah4wviGiirQIsxwtphgtSsM9tj13gTFjNB45AHJIOfhqIvRWTS1oaj/fLD4nVjATw/FLI0Txn0Ozcz5wTT9sihIVAgjSRaDWTmhr/EidBbYvZTq5nuHMHaSACRyDNB45AHJIOfhqIqYn4mbJkK4hXAxHhbZ4znAC3TVbxmrDkeBHgspUx2/0I1y/pQ7SOdK09E5afJhdEokHalzNhNR84AnFIOojgjEYDMTPUgZ0FIBB7GK8IU9FAgrLf/ZzpNTXxtW0TiGggopFE8k/Y+2NpO0jrMvsViybiCKT5wBGIQ9IhyISllJenITNzM6wX8PdbxJpIaPsD/M5pv2zfR31NWBKNFSkqy/ytvT9eAjG3Aj//SxCBOBNW84EjEIekg5lIaAonMxpLtBRT4JmmH1PgxZMHAuys3YRLYqyvCcskEMAbhxCKOa5oS5rEEkJsrwDpp335aTtme04DaX5wBOKQdBCBZPo+/Hwhqak7Z6uLsDezyWONwhKhbZNSUEVg25xTHxOWEIiQlamR+Jm0wpmbovWB1NZyTELIpmbndz3DjR1wGkhzgiMQh6SDacISTcMkEEksNKv0hvOFxGrCMldDNM9tEogtwIPyQGI1YUkbQiCiGdjOdTvMV7YmocSigYhZ0A5OsEnTJEi7PaeBND84AnFIOtiOcsAjDNuUBfgTiczka2tj10CEvGxSMjUSIPxsPF4NRM4tbQVpILKV3/ppIrGYz8yKx2aejU1c0WggjkCaDxyBOCQdRIgBdYsTBoX1mk51u+y7UhRoIvCibdvvnKZwB+qW/5BtQxOILcBt30hD+V/s8Uaj2cnWbt+ZsJoPEkogSqkxSqklSqnlSqkbfL5XSqknQt/PV0oNM75rq5R6Vyn1i1JqsVLqoMbtvUOiYAo0e59tyrKPDYrKisUfYOaZmOcM57A3TVnxmJH8TFhmW7YzXbZAsCYSC3kJacj19Buz9C+ItGJt16HpI2EEopRKBfA0gGMADAJwplJqkHXYMQAGhF4XAXjW+O5xAJ9qrfcAsC+Axbu80w5NAqYPxNwHeEUVbQIRBNnw452N2+QUyZkerz/A1kCCIsAiEYi5jceEZRKordHZ5jtb43IaSPNDIjWQ/QEs11rnaa0rAbwJYKx1zFgAEzXxA4C2SqmuSqkcAIcAeBEAtNaVWuvCRuy7QwJhC27TpGWWDDE1EkHQGuqxzsbNcwdFepkRU/LbeLUAWwMxS9jL1s+EZYfZSj+A+JzoMk7bDxVktrNXiIylXYemj0QSSHcAa4zP+aF90RzTD8AmAC8rpeYopV5QSrX0a0QpdZFSaqZSauamTZsarvcOCYM5CzbJwfwuSAMxHcGAJ5BjMSX5EYic22zDFup+mkg8iYSAf6kWPwKxnenmuWIpZWKP2SZxP5Oa2T9TA4llLRKHpo1EEojy2We7MoOOSQMwDMCzWuuhAEoA7ORDAQCt9QSt9Qit9YiOHTvWp78OTQQ2KdjfmceIoDNXEgR2tt3HooGYZVTMWlRBORJCUiJU4/VDmOc0I8zkczinurmUbjzk5TdmM1TYDiTwy41xGkjzQyIJJB9AT+NzDwDrojwmH0C+1vrH0P53QUJx+I3ANmGZW5Mw7K1NPLESiKmB2P4WOzIsKFdiV5iwzORJ2UoCYJBPJF6znV8ZfT9NxNyaUWGOQJoPEkkgMwAMUEr1VUplADgDwCTrmEkA/hKKxjoQwHat9Xqt9QYAa5RSu4eOOwLAokbruUNC4RcJ5RfWG5ShDuwchhrrbFzem1uzL7YwN806IkjT02NfkTDFemL9SMuOyjKJxDxXPE50Px+T+V/YYdJ+5OmisJoPErYmuta6Wil1KYApAFIBvKS1XqiUujj0/XgAkwEcC2A5gFIA5xqnuAzA6yHyybO+c2jGME0qfuXMzWOCTFj2TLk+TnQzeTFc9rttfsrIiD8KyyaOSM50c10UQayRZ+b4/TQRsz9CZPY1cATSvJAwAgEArfVkkCTMfeON9xrAJQG/nQtgxK7sn0PThOkEl89+UIoOW3NrHysCLl4TlhCIfOenFYUz68TqRLfXILGJJEj78TNlxaL92GOW/8AmUVsDsbfOhNW84DLRHZIO5szW3m9rJOY6HH6+ENnGGtIK7FxC3k/LMftqm3PS0uJ3ogfB9on41ciSPsab+2Lus7d+GpHZb9FAgkjfIbngCMQh6WALKz/iENjCXTQRQUNpIH6z8kimrPT0+J3oNoKismwNJCXFaz+eMF77ekbKt/GrQaZ1bGuyOzRdOAJxSDqYWoCfWUr2AzsLuCBfSDz+ANOhbG5lv51g6JdoGG8pE9txLwhyqtshxkB8uS+mCUu+8yMSe8x2EUtnxmoecATikHSora0rCG3Nw3amA5xtm2XebR9CrP4AObcfOdkaUjizTnV1MBnY7cpvwsEvTNkkDrMMfDykGUQYthYWRCCx1h5zaNpwBOKQdLBzD0zisAUo4C/kbU0kVhMWsHNIq595R9o3t3aIazTCVM7lV+HXPLcgKD/EjNKKJ/IsyIRl7w9y8jsNpHnBEYhD0sHOPfCLyhIhJoLM9oHYppZYndkpKd65hEjsNiTRUBBUCTiatv1MRuFgm/jshabi1UDsfviZ8UxyF9jmO0cgzQOOQBySDra5JMiEZZqybOKwNZB4EgkFQQ7lIH+LrYlE07Y5o7d9EPZYTfgJ8niSGG2NL8hsFxSVJdtYi1c6NG04AnFIOpgzabMeU5Az3RRopnZgCuJYtACgrilJZuH2ue2IL/u3sSQx2uHIQWO2icU2ZUnyX6wRYDb52RpHUOkYgU2ajkCaBxyBOCQdzMxvKdXhF0ZrC1c/AhHEQiC2FhBEHLawN/sB1E8DEdIKp3WZbZkEIhpIPCYsuy3bfGf7hWzEWv3YoWnDEYhD0sEkCnEOy36/rQlT0JnaSzQCzXSKm+YZOxvbz6wjvzO3sdThMk1V5jltX4ifWc80PcVDIHYCot0vuz/hyNNpIM0LjkAckg6mBmISiO0P8IvKEuIwhXxKSmxmJGDnmb2cO5wmEkQgsURhye+qqnb2hZiC3HT2C0zyyciIPQ9E+m5qeDU1dTWRIN+I2XfAaSDNBY5AHJIOpgATE5afL8QvlFSEtSnoop2N22YkE+H8AHZYryAeE5ZtprNrfNlbv2KHct1iyUT3G3PQ2M12g9ZhcRpI84AjEIekg2mKsUt1mL4QE6YZx9YSop2N+2kg5vugUOFIeSHxmLBEA7EJJEgTsU1u8WggNokF+UJka4Y622TuCKR5IKpqvEqpTgB+B6AbgDIACwDM1FpHkUPr4NCwMEuJh1vvIly5D9O8VB8NxCQsO/9Dst9tH4kglhwUc2ySwW62FVRiJOhc6elAWVnkdv3OFc63FClc2pmwmhfCEohS6nBwqdj2AOYAKACQCeAPAPorpd4F8LDWumgX99PB4f/D1DDsdSf8TEX2b4C6JqCsrNh8IOHMOUBkX4ggFg3Env0LOZkC2+yjn8nLHEc8TnTps5mgKfvsgIJImelOA2keiKSBHAvgQq31avsLpVQagOMBHAXgvV3QNwcHX5gaSIsWdTUQWco1iEiAnQVctMI0kgkryJRlm3NsRNu2mftiEki4yC9b0Mu+WEqZ2EmBfiZCOb9Nlrb5zmkgzQuRCOQhrfVGvy+01tUAPmzwHjk4RIApyO31LtLSgIqKutFZwM6+EVPARVvWw5xFBy2pa8JezMoW7rGasEwzmB+BmH6KIBKVfsazFomQiN91FfhpIH7k6TSQ5oFITvR5SqlpSqnzlFJtGqVHDg4RYBKB6Uz3ywuxBbud/FddHb0wtTUQv3yTaMw5dl+idaKbS8nafha7LpefKcvcpqTEXr7Fjzzs93KcTWB2KLMjkOaBSATSHcBDAEYBWKqU+lApdbpSKmvXd83BYWeI/d0sSGhGY9nbIJhmplid6EB47cOO9ApKrotFmJrhuOE0kKBFruytjL2+Y/Y7PxDZfOdMWM0DYQlEa12jtZ6itT4XQE8AL4MO9BVKqdcboX8ODnVgk4IQiKx0J1u/9UIEpsCL14QVyZFutmWbsuzQ1lg0kJoajs1PAzGJJEgDMTW3eEqomMRhns8es+0HcgTSPBF1HojWuhLAIgCLARQBGLSrOuXgEAQ/QWjmhZg1svw0ENvUUlUVfWVaOxcjSMOxySXS8q+xEIitgZiah71f2pY+m9t4s+9FA7SJww4kkPe2U9304TgkPyISiFKql1LqWqXUbACfAEgFMFZrPbS+jSulxiilliilliulbvD5Ximlngh9P18pNcz6PlUpNUcp9Ul9++KQHLCT8WzNw3SmRwPxgcRizolW+xAEOZRNc0+0/RQ/T3W1/zbIlGWbtIQ8I8F0+Kf4SItI18GvCnIsSYwOTRuR8kC+A/0g7wC4SGs9s6EaVkqlAngaDAPOBzBDKTVJa73IOOwYAANCrwMAPBvaCv4BakQ5DdUvh6YNWwOxV9ozTVh+GoK9T34TTx5IkPC0/QZBSXZyvng0EBHEtiZim7TCmbJqa3dObrQh5GaO2S+3JGjsfmG9jkCaDyJpIDcC6KO1vqYhySOE/QEs11rnhcxjbwIYax0zFsBETfwAoK1SqisAKKV6ADgOwAsN3C+HJgxbaNmZ6EIctkbih1j9AX4mLNOcE0Qs8tn2B8QiTEXzMCPN/Hwi9jZSOG+ktk0NxPR/RDIPCvzqgsWSxOjQtBFWA9Fafw0ASqm+AC4D0Mf8jdb6xHq03R3AGuNzPupqF0HHdAewHsBjAK4D0DpcI0qpiwBcBAC9evWqR3cdmgJsE5adB2JrJKmp4YWVUrH7A2ySMIWpTSjmPjs6K5YIMDFR+flCxAQnn8WkZWogfrWxALadmRncrvhQJCjBjxxNn44dZWaXeYllzA5NH1FaivEhgBcBfAygoepf+RkA7HmN7zFKqeMBFGitZymlDgvXiNZ6AoAJADBixIgwgZ0OyQA/E5ZsTU3ETwMJyqCORDICEaYyG7eFpp95zITfwlOxaCAmKUo/TC0myJkeJNyByOOWMQskZyZcEEHQeZwJq/khWgIp11o/0cBt54OhwYIeANZFecypAE5USh0L1ubKUUr9S2v95wbuo0MTQ1BJdBFo9iw9aOZs7ovWoWwSiLRt/s5PqJpEY/tAYpmNi6lKTFjSD9OElZFR14Ql++V3wM4kGi2B2MvwyrlM2NqXSVYmeWZnOw2kuSDaMN7HlVK3KaUOUkoNk1c9254BYIBSqq9SKgPAGQAmWcdMAvCXUDTWgQC2a63Xa61v1Fr30Fr3Cf3uC0cevw0EaSB2eXdTAzH9Bn6z5mhNWKZD2Ww7yB9gk5adUBgPgZjmOTmXSZq2CcvOC7FNgLESiGh04RzvwM7/Uzxal0PTR7QayN4AzgYwGp4JS4c+xwWtdbVS6lIAU8DQ4Je01guVUheHvh8PYDJY0HE5gFIA58bbnkPzgF1HKj2dW5nx+tXGshMLTcQS0uo3Gzdn3bYvxDadmX4AEfbxOtHNfsg5U1NZB8yv5ElQSfZoneh21FtamvfbcEEK8p3pzHc+kOaDaAnkJAD9QtFSDQat9WSQJMx94433GsAlEc7xFYCvGrJfDk0XtjNY8j2CwnrNxEI5zs/MVFUV7CMR+PkDpM1wfgE7uU5m41VVrCYcLXkJEQSNUQgjPX3n/JAgE1akHBRb6woiZDtwwM/f4pzozQ/RmrDmAWi7C/vh4BAV/EqZADsLrvT0uk71SOG8WgeXfxf4+V/spEU7D8IPZpZ4tBqInw/ET2jbYb12EUZ7DNFqIAI/DQ/YOc8kCM6E1bwQrQbSGcAvSqkZACpkZz3DeB0cYoafQAPq5nQEmbCCNAwzJyIrTJlQe7YuJBUpaTHIsR5LGRWTGGw/hLk1o51MJ7poIqZJCYjeBxIpbNoep619mFn3TgNpPoiWQG7bpb1wcIgStgAUH4jAjMbyE3RpaUB5ed3jBVVV4QnENmH5rcdu99Nuw86NSE+v258gmD4N2+8jW9PEJcfZmogt7GMN47WTGe2xB4U2C2k6DaR5IVIpExXKAv860jEN3zUHh50hWoCYcfxMWLKN1pluhtmGQ9Bs3MxFMc8Rzp8i7WVkAEVF4Y+TtuX8MmZbAzHJU46XxbVME5jpn4iWQOR4O7/GHrudnW9fB5eJ3rwQyQfypVLqMqVUnRRupVSGUmq0UupVAOfsuu45ONSFPSP200CA4Oq8QdFYQORZsZ8T3QwVDirgGKSNVFXF7gMRv4mpSZhEYof3+vlEzD5FO2a/KCx77EEBBCapiNnOEUjzQCQT1hgA5wF4I1TOpBBM3EsFMBXAo1rrubuygw4OJuxQWtOcY25N4vAzufghHnOOaR4z2xBNJChnItaIJNM0ZWsgpilL9tvEUVVV1/wkY4nUdlD1Yz8iCWfGM/dF6/dxaPqIVAurHMAzAJ5RSqUDyAVQprUubIS+OTjsBD8zkvlZhJadq2FuBbaAiyRMhRREqPr5V2zHcjjEqoEI2YgGYhIGsLP5zvaJSPVe8xpEG8Yr4wkaq0nY5nX0uw6pqY5AmguidaJDa10FFjF0cEgYbC3AFp72bN/OULc1kFj8AUEhrX5+AdOBHG4ssWail5cH57SYZjv5LBqLaCKmjwSI3oRl5t34ma6CMtT9ii+K9uWQ/Ih6RUIHh6YAO7FNTFi2sLbNO9FoB/GGtPqZy8zvgyACOBYTlpi9wmkgti/E1kQayoRljjGafBuBlM93oTfJD0cgDkkFv8xo87NfzoUIPHPGbM6Mo13YyZ6N2+f0M+8EwRT20ZhzzBUHMzJ2/t4vlNaPOMySKEDsUVimKdD0LdlJlWbIsA25Lk4LSX6EJRCl1FNKqZGN1RkHh0iI5AOxt+Ec3XZORKz+gHB1t0xiCWfOiraQo/g+zCgs09chYzY1ItMPZNfSipZA5Hu7mKLtTLdNhZFqj0XTtkPTRyQNZBmAh5VSK5VS9yulhjRCnxwcAhFEIDYZBBGJn/O3IWbjfue2o6VsKOUJc9u3Y6Oy0ksMtCPPzPOZME1ZNoFE6wOR74PMdn5r0ptmPD/I9XCO9ORHWALRWj+utT4IwKEAtgJ4WSm1WCl1q1JqYKP00MHBQFBBQ5s4BLZfwBb6IviAyALNJhh7Fm5v7TVJ/GCWUQkH8X0IgZgmO9uZbmsmpilLNCOpCBytBiIIir4KqgAgffQbs9NAkh9R+UC01qu01vdrrYcCOAuszrt4l/bMwcEHfoltQLCJyA5t9SOQeM05fiGs4bbh+hep7crKumG4flnutunKL5xXtqLRxDNmsy1bAzEz082+mATvCKT5ICoCUUqlK6VOUEq9DuC/AJYCOGWX9szBwQd+fgqJNgqHoHBeMbkEndtERYXXHlC3nHs4TSQac040glw0ECGQIJ8HsLMGIv0UAok2I1w0I5tAbEI2r69fYIFfaRNnwkp+RKqFdRSAMwEcB+AnAG8CuEhrXdIIfXNw2Ak2UdgmnEgzfZtIMjKij8Kyha0pTP2Epr3161O0/gCTQNLS6s7kTTOSfPYbs9nPaJMY7THbZVNsU2CQH8gPjkCSH5ESCW8C8G8A12ittzZCfxwcwsI2YZkzcRPyOajgoGmCiTYnwnRkm+c0haVfaGs4DUQQrm2t/TUQ+S6oAq5fYqH0p7KybsmVcGM2YY8lyLdkj90vEs2F8SY/IpUyObyxOuLgEA1smzzgzaz94BeVZc6UY/GBiB9CjotmLRJ7PXY7XyUac05NjactmaVITC3ENhP5aSSmeUk0kGh9IEKapo/Db8xBEWl2VFykMTskB1wioUNSwQ4rlfeykJJtyvKLADLXxohVA8nIoC/EFN5+Nahs57ogKCIpnDCV79LS2HaLFv5O6aC8EHtrOtGjMWHJ+u3SB7v/4TSQoBInkcbskBxwBOKQVBBHtmgNqal1V+KLFDpq5zNIch4QvSNbtn6RYH7RV36OZBvhzDnSLxH4LVrsPEabUG0iAeqasmJxopu+kiBzXLSmLLucvUNyI6EEopQao5RaopRarpS6wed7pZR6IvT9fKXUsND+nkqpL0M5KQuVUv9o/N47JAL2rFVm4FVVdU1ZQSYte3aenu7lRESaEcvs3xTiQF1twE942hqJnxAO17asWCgJhFLKxHSMm74g25Tl5wuJlkDKy4HMzLpakIxVziXbcCYsv0ACRyDJj4QRiFIqFcDTAI4BMAjAmUqpQdZhxwAYEHpdBODZ0P5qAFdrrfcEcCCAS3x+69AMIYLMdBRLdVc/X0iQJmKal6J1KFdUeLNxcyErP4d9pNm4HT0WjkBKS7kV4S2lTExty08DCWdis/054drOzt55zDbCLeBlayDRjNkhOZBIDWR/AMu11nla60owRHisdcxYABNDy+r+AKCtUqqr1nq91no2AGitd4BJjd0bs/MOiYH4H8wqsaYPRGbj9sp7NkSQtWgRvUO5tBRo2bKuBuLXlu0LCVdkMZqkurIybkWA2xWIbT+HPUa/IovR+kDKyrhOvBBOJAT5gUwNJNqgBYemj0QSSHcAa4zP+diZBCIeo5TqA2AogB/9GlFKXaSUmqmUmrlp06b69tkhwfCbOZsaSCRfiK0lSERSNMK0pMQjELOketCyr+FKnMjx8WggEsZrm+tsAvPLwpfPZnn4cDBJ0ySQoOtqR7mFI02ngSQ/Ekkgfi5Fe74Y9hilVCsA7wG4Qmtd5NeI1nqC1nqE1npEx44d4+6sQ9OAzP5F8AlhyLaysq5QD9JA5DvTJBWLOUciocy2zfOa7/1KntjHhmtbCMSsiOtHkqYvxITtTDfX8ohWAxGStfvtp934aR6m2S7aoAWHpo9EEkg+gJ7G5x4A1kV7TGiJ3fcAvK61fn8X9tOhCcGOCjJNVrYG4idkbUEnmoc408MhnAZiagT2bNxPiNr5INGYsMx8Dr92/fw94cxc0RRTLCkhaZaX1yVNu82g62v7QGKpfuzQ9JFIApkBYIBSqq9SKgPAGQAmWcdMAvCXUDTWgQC2a63XK6UUgBcBLNZaP9K43XZIJMSRLTNiiaAyt35OdT9BJxpILCas7GxPE/EjEHP2b8/Gw2kg4douLubWTiC0zXXR+H3MbSwEIqYsWeEwSMMLigDzq9LrCCT5kTAC0VpXA7gUwBTQCf621nqhUupipdTFocMmA8gDsBzA8wD+Htr/OwBnAxitlJobeh3buCNwSAREeJtC3xSmEs5rC1eBOfMXDSQaJ3pNDdtu3drrg0lSZlu2cLWFqESOAdHNxrdt49b2gch4pD2TQGwNxxy7acqKJMS3bQPatat73f1MhNFoIELY0a5F4tD0EakW1i6F1noySBLmvvHGew3gEp/fTYe/f8ShmaO4uK5TVwSaKdhMTSRoVm6bsCKtTV5YyOPbt2cfWrUCiorqzsZt0rKr44rgt9fpAMKbz7ZuJXFJPoj4QEyznZzLLxrLHn+0GkhZGTW+du045s6d62amhzMRyj67lLyUYzGz2x2SFy4T3SGpIMLbdGhLDoeYroCdTS1BRCLEEYlAtmzhtkOHurNxW5j6aT+2CctMYozGhFVY6AlxwCMimyTNJXftcF4TpiYSrl3RfEQDadnSI2qbBPwIRMZubk2Nz2kgyQ9HIA5JhZKSugRiCn8RpuZsPMgHIjDLkYcjkK2hWtTt29clL5MwTLKyzWe28xqo68OJZMJq2xbYsYOf/XJf/MZsfxaYQj2cFiAE0rZtMGnaocRBUVmmCUtWV3Q+kOSHIxCHpIKtgQiBiEAzZ8i2eQcIDj+VAoNBkBSiVq14XKtWNO+YwtR2ptuRT35raESj/axbB3TpwrHba3v4tRttORdJKAxyuq9dy23XriQvGbsQXrjra8KsSGxGvTkCSX44AnFIGmjt+UDMDGlzOVU7CivIVi8Qx3Sk2fiaNTwmK4uf27WjT0KEqSnYg6KyBKYJK5IDv7oaWL8e6NGDQlz8P+FCl828lHAaiBwTtJqjEEhODvvXoYNHmjJmO2ghqJSMtGlGvTkCSX44AnFIGpSWUui0a+flZEhYr00gpknLb1Yugs0kkHACbfVqoHt3YPt2fu7QgQQi2oPM5m3zjk0kZia6Wdk3SPtZv56/79kT2LyZ7ZaV1c0lEeFta0JBeSI2qQW1vWYNTXbivBfznfTbL+rNLwJN2jQz/6MpHePQ9OEIxCFpsHkztyJEs7Io0DIzPQKxTVhBeSEC25wThLw8oHdvz5kujmVTmNrEYWsiplZg56AECdMlS7jt35/j79iRmoh5Lr8xShu2415+Y449SPP65Rdg4MC6AQRFRZ4fIxxpCWyHfix5Nw5NH45AHJIGIshycz0NpKSERCKzWzP6KtxsXGBmSAcJ8R07SCB77+31ISuLwlPKu/v5Qvx8IqZQj8Yf8PPPFLoDBgAFBSSQwsK6taVsn4hsg/JUbPgJ8vJyYPlyYK+9POJu147XQgpQmgmccl39xmz20wybdmG8yQ9HIA5JA1OQFRV50UFCIJJrIJpIkIMb8J+NBwm0uXO53WcfID+fwk8KC8paGaZfwM4LsU1Ypg8kUkTSTz8Bgwfz/aZNdKZv306Htq1Z2FFgQc51G35tz5jB44cMoSkLoC9EaxJIeXl47ctOaow1cdMhOeAIxCFpIJFQUtTPzJCWtb5lG21pE7M8SJBJ5fPPKbCHDKEvpEcPLyfDLDQYSZhKuyaBhFuXY80aYNky4LDD+L6mBujblwQiZUWAupntfhqQ9EdgLy/r1/YXX3DMI0YAq1YxiVBWg8zK4nshwHAOfZuoY6l+7ND04QjEIWmwahXQpo0neMycDMlyNmf2pk/EFHDAzgQSZMIqLqYwPewwnjcvD+jVy8uREBOWmdNhCm5gZxOWHYUVFMb77rs835FHAr/+yn39+9OMlpMTHPFkm7IimbDstrdvB6ZOBY44gn1cvhzo06eu+a68vG5WuU2epu/DbDuW1RAdmj4cgTgkDfLygH796AMAvGgsIZD09LrrXJimLNs34hfW6yfQ3nuPJHX66TSbrVxJk9L69fxezGdSYt7PdOTnf4kUkbR1K/DBB8Dvfw906uT5Qvr0YdsdO/K8Zol1EdhBJiy/Eid+4379dWoYf/oTx758Oc13MuaWLT3/T0VF3Ug00/8C1A0RVsrLt3EE0jzgCMQhKaA1CaRvX88XIoUNZTYu5cbT0ym4TCKxs8btWbnsM4X8li3ASy8BI0cCe+7p+UKGDGFyX0aGp/WIWUfW2PDzv9gCXAjOz5zzxBPcd8EF/PzTT2wXoCmvUyf2NTNz57yPIBNW0LolZttr1gD/+hdw9NEk61mzPF/Ihg08xiRNP18IsPOYzVL3LhO9+cARiENSYOtWagD9+pFIUlOpeQA0ZYkJSzQRMy/EzA+xM6dNwQt4Qk1r4MEHKVyvuYb7PvuMpLX33kyy69LFM0vJbFxqPJnajl8+iMzG/cw5X30FfPIJcPbZ1DhWrqQWMHIkhbjW9ElUV1OY2+uQBBFHUGKjCP2qKuC220iCV1zBfdOmcczDhtH/k5vrEUNmZt3y+jZp+l0DGbOrhdU84AjEISmQl8etEEjv3l5tqHbt6hKHrDlhaiJVVR6R2JVrTYhQe/ttEsZFF9HnsWMHBfvhh/O8y5axL7W1HoGIFuSXXOen9ZhrkwuBrFgB3HorMGgQcOGF3PfBBzz2mGOYmwFQE6uu9rQvCQ0Gwocw+5nvZMwPPQTMn08SkXDhL74ARo9mH5csYV5IdTV/a1ZFltBcO4TYLxfGhfE2HzgCcUgKrFjBbb9+nI337+8VOMzNretEF0Hmp4nYtnqbQKqqaKp65BHgkEOAc87h/nfeobnsjDOoCa1ezRyJykrPlCREUlnJtoKKLJqzcdOcU1JCbadFC2o/GRk01737Lk1KHToACxdyf9++/E3r1jy/jF3glw9impXslQE//JD+nr/+lc5zwPOF/PnPTNzMywP22MOrn2UGL5gl8SMRiAvjbT5wBOKQFMjLo7DMzqb/oV8/j0AkJ0LMOWY0lghLIRC7zLtt0tm4Ebj+eqBbN+COO3hsQQHwyivAqFGcgc+Zw2P33puCNTXVa8uMyhJTVlBUlMzGMzIoqG+9lT6I+++niUprvq+upiYEAD/+SCe+jKF1a4/A7KisoMRGk2QBYOlStnPggcDfQ0u2rVjh+UL69mVeSE0Nw3orKupe38xML5osXFIl4EVhRbMeu0PThyMQh6SAONBXruTn/v1JJEp5BQ6zsiioTHOSqYGYmepm5jTg+TLuuouhuw8+SOGsNXDfffy9+EK+/JLfDRlCrUTaEWEq2o8ZAWY6kuWzKUxXrgS+/hq48kr6GwDg1VfZ1uWXsxbWmjXUvg47zAskaN+efRNNRGA6sP2c6pIIWV0NjB9Pk9W993pmtTvu4PW86ioe99VXJO8hQ7xsdGkjO7uuL8TWvsy+mMv6Og0k+eEIxCEpkJdH0hBfSP/+zArv3NmbyYpJxRTiZokT05Tlt+RtQQHDZW+5BdhtN+577TXgm2+ASy9lMcWiIvpGDj+c592+3ZuB21pQpBInYs5Zt445LsceSxMZwKirZ55hGO9ZZ3HfO++w70ceybEDFPzV1dTCTO1LEGROkryVtWtJmA895GWaP/AAsGABMG4cCaqoCJgyhdpIRgbHLKX0ZcxmWRczwdBONBSNL5r12B2aPhyBODR5bNtGh27fvkyoS09nNviaNZyZS1a4EIf4IyQvRBy2Zoa6nZG+YgVNYsccA4wZw30//gg89RRw1FHAmWdy39tvM3T1zDMZ5it5KFVVdQW4ONP9ciRMAikpYaRTZiZw003ct349cOONjMC6+Wbu27Spbl7Ir79yf9u2PH+rVp4vxDZl+WkD6ekcX2kpcOqpNM0BwPvv0x9y3nmeL+SVV6hhSC6MTZqigUlZF5NAgoosCnkGJTc6JAccgTg0eYgDXQikb1/OxIVAJLFQssrFhGX6Qmpq6hKJKdgqKoD//Y8zaZntr1tHgd63LzUSpRhC+8or1D4GDABmzvRMaFLaXUw00geTtPwSDGWdkV69PAF83XX8zUMPeaHKjz3G4//v//h5zhyvnH1tLTP0xWwXtKCVKdS3bQMWL6aGIbW25syh9vG73wEXX8x9eXnAv/8NHH88tbIZM7hf1mQB6vpCbALx8/uY/1XQWiQOyYGEEohSaoxSaolSarlS6gaf75VS6onQ9/OVUsOi/a1D88GqVdz27u1lo2/aROLo14+Ob1M4mQRi1sjy84WUltKMk5ZGrQagUL7uOh7z4IOeaeyuuygoxS8gNbLS0+kXEB+MlGo3S7bbxKEUMH062zr+eO/7++6jYL/rLpIKQK1gyhRGSPXowVDedevYtvhCcnPZTna25/cR4pDrIu0XFTEMuWNHajNVVV7wQPfuwN1389rs2AFcfTVNW5deynNMnco2MjJ4HkkqNLPxzVIyQWX0Bc6RntxIS1TDSqlUAE8DOApAPoAZSqlJWutFxmHHABgQeh0A4FkAB0T52yaPykramhcsoEAoLOSD26oVlxHt3Zuhop06+SeA/VawahUFVuvW1AL69aOQBZgvMWMGhVZpKfdJoUHxR5i+kOpqzpRFwE2bRgE6ahTPWVFBZ/IvvwCPPuoJ8RdeoMln3Dj+NwUF9I3suSdNTtu31yUQMeuICctP61m+nEK8f3/g228ZRjtpEnD++QwhBoB586gVjBzpZaW/+y7Pn5PDfgCeL0TG3qoVNQTTRCTCfMECXpORI5lpXlpKoigvB557zovsGjeO9+Vzz5GgCgroTJdEysLCuqYsM5R5xw5P87PNdoCngbhckORGwggEwP4Almut8wBAKfUmgLEATBIYC2Ci1loD+EEp1VYp1RVAnyh+22DYvp0PS+/e9T+X1nSQfvwxI2ykwmlODhPitObMTswyAM0Me+5JO/WAATQldOnimTfCtVVVRaKqrGRbspX95izVfMDru8/c1hdLlvDaSwTWbrtR2Kek8JqsX0+CkcRCiTCS2bj4QswZckUFhdqCBQzZzc3lb6ZMAf7zH5qKRo3ivh9+AJ5/nk7uP/yB+159lec88ECGu1ZUeMvcAl4yo73YlUQ5FRdzTCkpfJWX02R10EGemWrjRuDaa0lYohWsXEmSOeUUOtXXrGFbrVpxbNnZHFd2Nv0rdjSWrGY4cqR3nT76iOTw8MM02QF04H/3HX0xUkJl/Hj+9oADOOaSEm9xL5tAKipIREFlVOR9JA2kpoZkPncuJxL5+Xw+yss9B35WFsffurX3ysnhvpycnffLhEKSQKWEjbzsfeGOseF3z9v7onku7GPkXmlqSCSBdAewxvicD2oZkY7pHuVvGwxPP82Z19Sp8Z+jtpZhms8/z7j7nByaLn73Oz6gOTl1jy8ro71/0SImj/3yCwWZaTPOzOTv0tK8pVnLy/nwyqu5OCmPPrpuNvr771PYZWRQsGRleQQis1vRQMzEQvm8Ywdn3j16UEBrzc///jeJ4vzzeY7VqylE+/XjVikS2jvvACedxJm/CGpZ4MoM6zU1EakbJTWlRo/mfVVZScF4wAHAPfdQUFRUMGy4vJyCOyeHx91+O//3Cy/kNVi1imQhEw6TSIQ05Z4pK+P5+valqaqmhr8rKOB5ReuZOpW+npNPJlEB9BF9/DF9RG3aeGPOzuZ55f6zI9HKyuouPGVPLvwisWprqVVOnszrU1LC/W3b8v/KzeU1UIrnLyvjGH79lf9rcXHzue8F33wTecKYCCSSQPx42P7bg46J5rc8gVIXAbgIAHqJPSJGtG3LBy2ommkkLF1K2/b8+TSJ3H47o2lkBqg1HcULF3I2LUuWtmlDTePMM2nm0Joz0F9/pQ9gyxbOxmpqvPISmZkUGrKV9+npfC8FAFu0qFvJVQSevOq7T/Y3lBYybBgwcSL73bUriXXkSF6PigoKzh076i4MZZuwTALZupX7DjmEQrisjEJ8n32AO+/keYqL6e9ITaU5KyuLwuzmm3lPXHIJZ+9FReyT/EaEtplsJz4REXgyGwboS6mqAm64wQulveceThoefpjkJfkoCxbQpCVrlUsxSTFltWvHtlu29CLSduzg7zdt8hz2QmQbNwL77Qece653r95xB7DvvtR+AF6fm26i9vu3v9GEtn07x5ya6kVlyT0o91V6Oq+NWVbfLqNiEkh1NfDppySvlSv5nx5xBLWyYcOo7USD2lr+Tzt2eK+iIv43RUWeJih5KfZ7v8+yLzXV+y6ae9smMj9ii+YYkRVNDYkkkHwAPY3PPQCsi/KYjCh+CwDQWk8AMAEARowYEde8RCJctm/3zAXRoLISePZZloTIyWGm8XHHeTPkxYs5q/vsMy+rGvBMLxLlAnjLmu6xB802Q4bQlBPPrERs8GLaEjNCQ5qw7H0NgaVLKUy3bOH1GjTIqw2Vk8PIoowMb8ZqVso1nerFxRS+bdt6Jo0ff+R3557r5VTcdBNNRM8+SzNXbS0jslatooknJ4dCuayMvqoVK9iH1q09v4A4szMyeN23byfBtGzJPu7YwXPk5tJMCVALmjyZwlq0grffpunqgguouQB0oGdns7+i1bRp4/lCpNhiURGJpqaG3wuxz5zJvowezc+FhdR62rQhSaWneySank4yy8zkJKesjNFbv/7K/0IW1jJNWbJeSHa2p4EIbA3ku+9owlu9mvf53XezX6bgXLeOBLpihZe/UlrqrRCZlUVibdeOW3mfm8uQ6FatvATIhoI5aRLTlvkKCh6IFfKcNjUtJJEEMgPAAKVUXwBrAZwB4CzrmEkALg35OA4AsF1rvV4ptSmK3zYY2rbl9rrr+MC/8Ubk36xcSQG0dCnt5pdf7s0uZ8ygKWv2bN74hxzCWda++1JQyUNTUcGHddkyz5Q1ZQqdrYJWrTgzE1OWCKyKirrmrPJy7yZsqJs6ETjpJM+BvscenL2Lgz0vjwKiqIjfC1FLfogQyLp1/E5yKDZupEDq1IkmKQB48kkKtZtu8jLDJ0ygKeHaa1nSQ2uae1JTSSDz53vtlZVR6IrQFLNZSgrblQiw9etJhFVVfM2YATz+OIXneefxtzNnUngfcohX0uSbbyhAR44kya1c6ZV2r61lG+ILEa2nZUvPsT1vHol24EDPR3HTTSSl55/nPVVbS20rP58k2rUrj/v0U455n314HglYKC3luMT/Y4ZRFxfX1UBEiG/aRBPdl19SM3rkEfqe5PvlyznJ+vprL3kyJYX/VU4Oxyz3dkkJCVyCKfyQmuqRiKlJREMCpt/E1rYbAxkZvCebEhJGIFrraqXUpQCmAEgF8JLWeqFS6uLQ9+MBTAZwLIDlAEoBnBvut7uqr23acJueXte5HYQpUxiG2aKFV5QP4OzqwQeB77+noLrqKvpBTP/Htm2MjFm/ng+ECJxRoxjGmZPD2eayZZz9bd7smbJqaz17d6tWnHmJGUteYr4yt2JyaEgTlvm5oWZ8StGk8eGHngP9qae4LSjg9ZLwUr+w3vR0CtLMTAq89HTOnpcto0DKyqIg+uILZqD/8Y/0AwDc98ILwIkncj8AvPkm/4PcXArqoiKeMzOTfRHNR2v+r9XV/N/FJPLFF/x+7FhOCtauZeRTnz40cypFsrv+ejpR77qLv1u9mtps69acra9dS+Gak0MNB/AIRK6HaD0pKRzzxo0U2BL++8wzDO649VaSIUDSmD6d7QuJPv442+/cmeMsLuY5xbxnmu/M9VlMU6LcH8XFLN2iFMOEzzrLI53p04EXX2RlgLQ0BiuccQb70adPeJNORQWv99at3O7Ywb4VF/MlgSumU9zUmE3zlLy3v/N7+R0r921DPAMyIWpKSKQGAq31ZJAkzH3jjfcawCXR/nZXQTSQ9HQ+oEFCsbaWs9QXXgCGDmU4qKwc99JLwMsv8xxXXcXsX3kI1q5l5M9nn3mO4iB068YZ6557ArvvTgKSNRrqg9rauiGV4UxTiYBJTgsX0pSVmkqTxqmncv0MrSkkt2/3yALwHLwFBRxjnz5e9NJ33/FBHzaMms3mzRSmgwZ5+R7Ll7PE+eDB9FMoRU3h0UepNa5Ywf94xw6eR2zt4heoribpZ2R45pySEvavSxfO9sXvYSYQlpXRpFRTQw2kZUvPpJSWRjOmmMVqaijUZdlZue/WrOF/26MHj5Ogg+7dvciepUv5OvlkEiRAzerll6nxnXoq933yCc1rhx7KqKjaWk6ohgwh8W7b5iUTmhqIaCTmvfP55+xb79683v37c//PP3OStWgR7/Wrr2Z1AHkGAV6XWbM4DvEZimadnc3rJBFYOTm8vv36kXDbtCHZ/ZbD4hsSCSWQZIE472preaNecgkF1OOPe8eUl9P5OG0aH8Ibb+Qx69bRDDB/Ph3nV13lhYz+8gvNBV9/zRt6+HBGAO2zDx9wicffupUkI6asRYtINoKcHAqMDh34m9RUL/LINGGJSauqqm5Ib2Vl7PH48fpBgrQV+zvzsx9OOYXRUJWVFGBvvcVjc3Io1MRsYp5n6VLPibxypedYHT6cgg9gdFVlJW3waWk85uqrKZSkxPq6dSSSPn2oFd56K8mnupoEMm0ar2v79p75KCvLy1SvqqIwHzrUE7YbN/L/efZZ9k9rahzLlvE+69XLMymJX+ahh0hEGzcysionh++lOnBlJQmxRQsKTikJU11NTU6Ib8YMfpZikaYj/brr8P9zR+69lw73k08mgfz8M38/dCjv4ZIS+hxkTKb/B/Ai0dasoemqXTv6lPr353V+4glql5068Zoee6xH/hs28Lp+/jnvfzErpaZy3BkZ7GdpKfsRLsNdftO6dd1AEvNetMN1w4Xymt9pHdx2NCG+0ezr3Jn3aVOAI5Ao0Llz3RltZaVnZwf4kF51FYXI5ZdzJTmlaKK44w4ec++9JBCAM+FHHvFWuLvwQvpJOnf2zllZSSG3YYMXu7/XXiyk16ULBd/y5RQweXmceW7ZwgezpsaLuzcjstq29UxXfhFZpilLtg0dmRWk0cTioE9NpXAREh0yhNcjO5uCeu1ajmnbNu83EgUk0Wg1NbxWffvyVVFBot68mWVDevXiMTfeyP9rwgSSdHk5BW1tLbWClSspkL/7jm336+eFuGZl8fvaWs6014XCPCRhdNQoCsS8PPb1j3/0zJ3vvEMt4NJL6ecA6CswTUotWrD8SHU1SXDVKp5LSt5XVfGeWreOx5aV8b7q0oVjWbKE95BEeGVkUABff31dR/qmTRxzbi6PmzfPG3N2Non0P/9hH8WsJX4nUxNRivW8ios5yZozh/vmziUxFhTw2bnwQs9ZPH8+o+++/prnGDSIpL3vviSeTp12zo8QH2BRkffavp2ayvbtdT/7CXvTHGVHZdmRWPZ3si8aRBOR5bevdevozt8YcAQSBVJSqBGYiWobN/L90qVc/rOoiDPCQw/lH/7SS1TN99oL+Oc/vSieN9/k7LGmhg7Rs87yoroKC+k/+eILzu6Ckqyys+lA3msvmrJOP50CqinaSHcl5sxhLaz27SkQZJlXcR4XFnIGKzPW/ffnLDY9nUSQk8PrmJ5OU0hBAYMZxo7l+Z9+mtFZN9/M7GutGeIrWkHPniSrjRspoLt0oRApKvLIZvNmttOyJX8vYaQ9enhO748/5u/FVLR0KUns4IO9Ba2mTeM9ZZqU1q3jsT168BosXkwCaN2ajm6A5p/nnuP7khIvOiklhZrA9u30L3TpwmPuu49jGj+eGq0s6VtSQn9TmzYco/hcunThfVdURIKR0F1J2hQTVmUlr3FuLu/VIUP4/334IcmhWzeazMT/kpfHa/Ddd2zn3HOBE07gNRdo7QUQbNzI/1s0gawsL5mwTRsGAOyxhzNhNTQcgUSJ/v3p/Ab48BUW0owyezaF+Isv0ich5o/Jk5n8dtttJJyCAr6fMYOC4brr+NAAdEq+/DLw3//yodttNwqJwYNJXBLTv3kzH+6lS+kHePNNLwwyI4Mzwdxcvlq29ExZErZrmrFM85X9Xs4ZpAHY34U71m+fqaXILDWaz3YEzI4dNKesX8/+t23rJZG1bMlZfWoqCSQlhf/htGnerLt/f69vs2dT+B15JD9//jlnvqed5mWfv/YatYLLLvO0gqlTKTBPPJHEsmkThXi/ftQWAAr46mr2f8cOklv79uzD+vUkkm7d2G5ZGaOhWrfm/aKUv0lp3jy+2rf3orgkI7+qiv3IyPBMX5LF36+f931+Pq9B1678bvJkvi66iBqO1tScFy6k+W633bjv1VfZzzPP5DMhVYkPPZSCf/t2Cm65j2TWn5PDa/ntt/y/8vOZR3P66dT0srN5/z3zDH0t2dmcnJ1yirfmy44djED74gsSkGkJEJj3mB/S09mXNm24TU3ly8z5sDXohg4uMSO7YjHdmujfnwuBJRKOQKLEfvtROxBhvHo1H6zOnSlocnMpsK65hg/2xRczm1kpZvHeequ36twJJ3D/tm2c1X38MQX9KafwARswwGtXIng2bOAx/fqxL2LuWrGCAnHpUgqJLVv4WeL+RUXPzPRepglL7MBmZJaZVexnhqrvA+QX4RLps98rNZXC56ef+LlNG88H0LIl35eVebkeEg20YgWPkbVE5s0j8fTp42kjd93F2bA40r//nqG9Rx0F/OUv3PfttzQ1tW5NgbtsGUkjJYX/V0WFp31IeGlGBj9nZvI/27GDE42FCylwH36Ypqinn6aPoLDQK2j44INe/669lvsGDuS58vP53/frR8Js3doLHa6u5vgyMkiyBQU0/6WmMhy5upr383330Z8hWfhvvEHH+UUXAYcfzn2vvOJFEQ4cSA3h66855qFDqTlr7ZVSqanhdUlLI9FJfsobb7Bvf/4ztTqlqEHddhtJ6KSTuDpiu3ZsNy+Pv5k8mde1Uyf6bQYPJrF17sxjzTB2SSLcvr3uq7DQIzUxY0k5fnnZEVSRJkb2vRrut3ZGfrjfhUP37uG/bww4AokSRx5JlXrJEhLJli18gAYPJnnk5XG2tHkzTVZHHcUb+fXX+bsBA7i/d2/u/+ADCqSSEoYnnnOO56wvL2cJh6++4szYTDIUpKRQ4A0axNfo0fEnFiY7nn6aM14xH8l13LCB+3r2pBArKiJhdO7sCfP160m83bvzdxUVNFnV1nL2LT4AcfbeeivPmZfHkNvdd/dqaxUV8VjJ8s7K8shi7Vr+72LaAjwfwn77kUB++IEmnXPPpbmttpbtbdnCyL727b3Ch5WV1L5++omC88cfSf7r1nmlbbKyPOd+374kllatKOQBaj2tWpFox43jb+66y4tue/xxrn4oRRy/+ILXetQoatKSXLtpE8fVsqVXRDE9nURdWkozl5jWNm3i/txc/i+mz+ehhzjGJ5+kKVH+w2eeIXFkZHj1yPbaq66ALS0lIUv4u5SNadHCq5XVpYtXM6tVq9+eyXdXwBFIlGjblgLlnHP4QPbsydpFGzbQjzFnDs0Fzz/Pm7u6murlBx9QuMsSodu2ccb17bectd5wA2eNAB+u116jECkt5SzrwANJEF27etVeN22iQPrlF2o3n3zi9bNHDwoLicrKzvZMWdXV/smFdpFFOzIrmuiqWExY8vIzEYhq75fQ5Xes1hRI/fuTvEtKSNaLFnEM/fp5BRT/9z+e+6CDmNUNUOh068b/U2sK8bVr+R917+5ln5eXc4Yu/+EVV5AYHn2Us+X16/nq1InHDh/Oc/Xrx/OVlLCN1FT+TkrUixmzqooFCocN84opvvEGSeb663kP1NYyP2T5ck5KFiygJiGmHEkklWzzli0p9JWi2XTRIi/ZbvRo9jctjSSTmkoNp0sXksBNN3Est93GycqSJSQzCWU+9VRe9w0baForL+cYioo4hoULPTLv1o3HlpTQ2a4UAwamTePv7r6bpqyDD+Z1z8nhfT5xIp8ngM/d2Wd74bzV1dSEpk8nma1eHfsznZnpkYlJLOKvktB20UrM9/Y96LfPzwwVje8lmsgs8/PgwYwMTQQcgcSAQw6hieq557y1DpYs4YPYqxdv+M6d+eBcfz1v7PPOozkrJYUZxTffzO+vvZYPkVJ8sJ57jjWGqqtp0vjDH2gSMCM6amo4G+3VizPU9u0pGDdupCBctozbVav4AG/bFnwTh0swzMykEJIZWpBZSj7b+8PtMx8uUeeBuhEt8tkmINOsYH4/cCCJcuJEfp+fTzNFq1Yk0yVLvJyItDReN8CbnR99NGflFRWM+jn/fM50AfqmZs6k8OzTx3Mqb97MyKyePXnNpk71CFps67W1/K9++MHzR6xaxeN27KBWu3Il+7Z2LYX3vfd6jv8nn6TpSJzmEyaQEK66ij6Y/Hz+95J5nZJC5/T//kehLiYyMRtpzXG2aEFh/c47ngZ2/fVsS2vmo2zYQL9e69a85668kuOSfJTKSppe09N5r771Fq9TVRXHKDW6evasW/m4c2cSU24u+/TMMzSvnX8+iTMlhWRz2228BqNHc7zi5N+8mf6RTz6hZp6dTcI6/nj+P92783+XMvMVFTRjShKhvKToovm5sJDXVKLoTN+I7SexI6/Me9S8p01BH2/UVaTPiSyJ7wgkRhx9NB+s/Hyq75LRe/jhfDhWr+bsdP16zqZEEL33HjWS3r0pGAYM4I0wdSpDerdsoW/k/PM922ZtLWdZ33xDU9aKFXXLkCjFB3HgQM+UdeKJXmJhTY2nSchCShKy29yiUD75xBMGAAVf587euuWlpbyu1dUUKtXVFEZdunhaw9KlFD7XX89zzJ1LYj/6aP43WnO2PG8ezZGDB/M827aRAADuW7eOiW4tW/L/q60laUm2tvSlb18K72+/pZA75RTO1ktKqAF06OCthvjNN14mvCyvu3o1hWhqKglq9GgSoNYUoLJ2eXY2jxM7f7du3qJPshLjlVfynB9+SK3msssYeVZZyclOURHv+w4dKGzXreP4evTwIq8+/ZT3XPv23nrwWVnUlHfs4HgPP5zXdcsWjr1TJ0Z8SX2vb76hOS0jwzMFAxTuEyawf9XVdNifcAK1Sbso6ObN7J9UH5bqAM6E1fBwBBIjdtuNBHHFFRRE3btTGygq4gzqp5/4kD37rJcp/OijjJg6+GDOMLOz+UDdey/V+D33JIkMGsQ2iop4/Pvv82HIyuK5Dj2UD4Gsty2RNIsXe4IK4Exx4EAvKqtDB55DZlF+pizbfGWatsxY+WicfrFGZgGRI67syBX7+9JSb1XAPfag1tGxIwXnjh28Zp068dpu2MBr0KuXl3S3ahXHOnIkBWNRkbd4lKxVPnEibfEXX+z5uB5+mNvhw0kiBx9M34FEIVVUkMT69OF1LizkzHyvvbx+//gjTTODB3uRT+vW0XwjpWtuv53+FsmE//57Fljce28vx6O0lPdD27bUNLKyeK/l5PB61NbyHlq61KsJ1qIFzX8tWtCv8+CDNM2efTb7IlWk77uP7VdXsw+1tRzz8uU0B/76qxfKLI7xgQOpFW/bxvvwgAPY94oKaiy1tQxIGD2abf373zTN7b47n4dOnXjMhx8y2KSkhKQhKzPKvbBoEU1ZM2fyWTCLkIZDVpZHJuZW3kvQhZQI0tqrNRaUQGibtaKpOxfOPBXNZ8HQoTSnNiYcgcSBv/yFD85//+uZYhYu5I08cCAFjcwkb7yRduyzziLppKTwgRw3jtEwl17K88kaEK++Ssd7SQnXCrnuOgolu/aPRFgJKZSWUkiYpqxPP/VyVyIhJcXTTmyTlkS2AJHDDuOJzJL2ozFZhTv2tNM4+/3sM28WPns2v+/d2ytxMmsWzzN6NIv4rVhBoh40iMJXazqTN2+mCatlS5pfnn6akT8SpfTWWzQD/e1v/B/3358BFqWlXkb24ME0Ow0aRPt/bS0nAxKltG4dzTyiEXz8Mc/xt7/RDFVdTQKrruaMPCODgv6GGziZeeEFEsmDD5KIMjI4zn79SIqSG/PLL2zjgAN4b8yaxfYPO4zjLC/nOVu18srZv/mmVwH4yCN5XaSd447jPS/JrGlptMN/+SU/V1SQ+MSUKPWrVqzg9+Krk/75+QsLCmg6nDmTZHX99Z6/sKSEWv1HH3GcSnHicOKJbKtrV6/6blUVxyemLDFfSZSWaK5bt/Jc8p1MnMSEZZd1j1T63Y4qlPs/HGIxX9nfiWm2MeEIJE4ceSRnRlu2eKasDh14A3frRsFwxRXeWgpSlO/jj2lj7tyZiWGSOPW///EhWreOD9EFF5CMgLqzrDlz+BBu2eLdQO3bUxPafXcKqjPP5EOUmkohtnWrZ4cWU5Yd0pvWTO6El16i4Kup8bK0O3Xy6piVlvK6SYRUdTUFdosWXj7Fe+9REP7jH9xXXOw5lW++mQJh+nTOkg87jOYeKVGybBm/r6zkf2JWCN6yhcQhyXDff89+HnMMSWbdOgrRESO89Tmee44TjnvuocZkO/Czszm2/Hz2obaW92GnThTu++7Lc1ZXc79SFKTffceZ9p57cqyPPMK+PvUUj1u0iOc3KwC/+SavzTnncNLzyiv0VWRmkjC7deM1+OADb332du3YZsuW1FLmzaNGdNJJXg7NZZfRX3juuSTOlBRGIN55J89zyy18rpTi//faa+zLjh2cdf/lLzSN2YuyVVZ6GectWlALysjwEgzDZYzLs9XcTL0NjWYiNhofo0bxpn7sMT6cnTvzYS0spLD58ks+WE89xTDN2lrOYF99lTPV++7jjVxayvDFSZM4Ixs/ngIEoND/4AM+tCtWeA7jkSPZniSNbdxIB/HkyXTEA/yuXz8e37s3hUL79uxTWhqFiJhYxIRllnz3SzaU5Umjjbayvwt3rBmVFVRrKNL3tbUUpLJYlCTrde7M8e7YwfF06+Yt2rV+PYWb+AU2b6YwHTkS+NOfPJPShg2c7bduTZK46SZeW6mQO3WqZ24sK6Op5YMPvLpL//sfj5NlkVetosmrZ08KNq2pSbRu7Z3z+++pAf3hD/TDmA7855/3AjbefJO/l7yefv0oqNu147aszMvILi9nu926eRnpW7bQXHrOOYz6Ky3l+HJzaTpLSWH/H32UhHnJJXWdxfvsQ3Pqt99667N06MDr98gjvK8lN6lrV69qgkRaZWVR6zjuOI5DqjjsuadHnOIvfOwxaiaHH84AFVlDBSABf/89zcjLlvFeCDIhSTl/WTPEXPa2dWs+J6YDXcYaj4Yd675ISYY27H3DhnmJrrsajkDihFJ0qK5dy4dD1n+YP5838KBBJItevfjdLbdwVnXKKXRKpqXxYZNFi847jzWAxJTx9tuc4W3dSjv3uHE0n9izLBO1tXSsLlrkmbKmT/dCVuOBbcqSdqJ5GOzvwh2rdXBdIdNMFfS9aeIaPJikIOtpt23L61Ja6gUYZGRQQykuprCfO5f7f/qJmpwIzo8+ouC65BIKSrO44iOPUPgtWMDjxdl+110UZoWFnDzMnEltZNs2+hsKCrwkVFljQxIgH3mEvpvNm2m+6d/fK3IodajuvZeaa2UlI5Q2b+a99sMPNN+J/0Oiu2ShpawsmjWrqiisv/yS41+zhhry3/7GdkQTfu453m8rVtAUO2CAR27/+Q/bHDqU41m+3AvyGDPGKw1TXs57eOtWOrw7dOC+1aupkXTsyPMMGcJ+/fOfvF/HjOH4MzJ4He+6iwmLu+/O67DPPuxrZSXH9NFHvDYA/TCDBrH2XKdOXrJsVZVXx84s975tGwlQTFpS7r2pwG+y5XeMCUcgSYLf/542YbGvbtxI1f2ss0geBQWMcFm2jILg9NP5Z0+dSqHTti0fVFlvYfZsPiB5eRQ+993nfQdQIHz3HYXfqlW88aur+aB16kTb8h570G9ywQWceZaWeg+xacqS6BR7CVwhjLS05FXhH3mEs1ilPGHeti2FdkEBCWvGDArIYcNIIPPnU4DcdRcF7ooVLCi4//6cnWvNmfLGjdQAOnXie6mw/OijbOPOO/kfpadTSJoFK3v04Gy/ZUtODAoLeW8UFpKAfvc7r+puWRkFamYmheqkSfS//P73Xn7K3LletNL27YxUkkKGRUWcoS9axLZmz+bYO3cmoWnt+Yuk+vDkySSHiy4iOZSV0ffQooW3rO/8+Tx+v/1ILM8+ywgtgN8fdRQnPx99RKGdmkotZOhQXo8NG6gptGhBv9WQIezrddeRbC+8kO0Lod96K8d2xRV8rlJSSAQffsh2Cgqo1Vx2GTWkXr12vm9lJUpZ0lgKifqhspIkZzrQRSuINUAk1n0NvYbIroYjkHripJNoqvjPf0gcPXpwVlVYSCE2aRJvvsce46xAaz7kEybwgXrwQQqdykpG77z1Fmel5kJUNTW007//PgUGQOE1YABnomlpJIaNGzkbnjrV61+PHjxuwAA+WB06sH8tWngOeDFlbdvm1cvyq5Eln80FeIDYoq2iOTaS6Qrwf28eN3cuBVVKihfKKSG2NTUUWH378jqkpPBzYSEF0f77c6w33cT/VJzKr73GWfDVV3MGXFZG8igvp+mxbVsS//r1XmJdjx5sc9s2/mdff83vjj6a25oaagLZ2d6s8cUXKUhvu43mqF9/pVaw335ekuH48azXdeWVFNgiUEVgV1TQyb5qledcLSigE72oiNdJKjd37cp7Ij+fE5YhQ7xAgQceIJE+9RT7v2ULNeguXdinnByaqsaP577MTE5uFi/muXNySL6TJ3t1yTZs4L3YsSPHvXYt/U35+XVD399+m+bdXr1Y6l18gj/+yH6uWcNn6PbbeW3kfiouJvHMnOlpRoWFO5t6srJovmrbllvJ3zFfonlLMq7cn0B0Wrft9A6nkdf3HPb7ffelxrYr4QiknsjMZMawlGrfvp0q88yZNFntvTczjPv350N9xx0U8CecwNmbRNXcdBNv9jPPpLlEZpGffEKBsnYthdull9KB37178Axl+3Zv3RAxZX31VeQIkGSFHY2lFIWXrMIn2oQ4tQsLed2PO47O6y1bKPR796awAkj4y5ZRcOXmkpCefJJmxDPO4H9z221e5dx+/ajhXXEFz5ObSyE6YABn7AceSHJPTaUg7NKFUXPiM9htN55z1ixqN8cey+Q4Ka/esiVn/Skp1G5eeom+kbPO4v96zz0UwMcdx3ulvJyfs7M5Jik3f/TRjByTJQAOPpjb8nLeg6mpbCc1lQEfH39MTfaAAzzNqLjYWxN+zRqOWZJaf/2VpFVVxTGXl3uLY336Kfu0xx4U+KtX8/M55/DczzxDbbC2ltrOG29wEnX33TxHcTEJbfJk+o6eeIJmMaX4m+nTOZmbPt1bXGrAAGolsuyzhLFXVPA+KCwkuW/ZwntE1ohpDvjHPxyBJAVkfYrnn+fDvGQJ7dKZmZwx9u/PG/Tqq2n7NtcM+fJLmiKys/lAyCx08WLOshYupD336qvrrhW9fTtJas4cb4EerfkQd+nimbLGjKHDtLycGoqsGyLJhWL+8jNlmf4P0wwTj0NRPkdzbDQZvtGo+jU19Be8+SaPkRpVqakUqpIt/v77/H7UKAq1r77i7PdPf+L/sWMHBWe3bl4trJdfJvlccQXNTuLg3rKFZpX+/Rl6+sUXvG4SLnrCCfyv0tJ4nxQXU4PYto3/6bhx/O8k3+OBB9inp5+mEJTQ1t12oyagFMnkP//hvXbhhbyP7riD4+3dmz6Rtm295LmqKoagZ2ay75MmUSNetIhaRZcuFKb33ceADonCeuEFmv3EN7N1K81GWtMM++qrJK+UFPb15JOZ27FoEQmrfXv+bu+9ed9t2ULC3H9/b9Gs0lJe62++4WTqyit5vkWLOOFav56Edt553hr3U6bw2RNt689/JvEMHhxfdGFNjbeqZFWVZ/K1TVnxaNjyOd5zBL33O4dUMN6VcATSQDj7bM/ElJlJ84jWFAoTJ1ILKS2lQJCSEa++ylnt4MFU1aW8w/jx/E3btrTHjxnjqc7ffktTxfTpvKEzMxmy27kzhUN5OR/Wb7/1ymnn5HAmIqasHj28qCzT1yHx8mZUVmmpvzmroqJuqGO8tt9wx5omKb/34b6TB335cgrgzEwKzZoammikrpE4maUERnExhe+ee1Lb05o+hk2bKKhbtiRpjx/P2bxEat1xBzWNBx4g4RcUkKy0ZlsbN7KNPfekSWvJEs6+d9uNxFRUxKTS1FQSQHY2NdVPPiEp7Lcf+37TTbz2999PYvriC87cjzmGgrW2lvvKy6kJz5tHU9HIkdSAysp4Pdq3532Qlsb/+PXXWTLliCP4/44bx+siWs9PP1FIH3ccSbCigsK9oIDksffeJIBJk2gSy85mprnUy8rMJCH89BPbnD+f2lfPniTcNm14ja+4gprfddd5a89/8AHJrGNH9mHffblfVklcupTE9M9/8tkS0qiu5vM4cyY1o5UrSdTFxbyWkvOUk+NFY8lLQn3llZXF6yATKPP+te8/c2t/X5/P8VoQ9tzTKwXT0HAE0kDo1IkPz+jRvNGl+No331AQ7LMPTVF77MEH9N57KRx+/3uaQlq0oEC56SbOtsaO5cPUujVvnC++4Axw6VIK/7PO4sMyaJD/LKuqig+NmLKWLWM4cFOLMNnVkPVBKiv5v5SU0Ny0dCk1jeJimoJmzeJxS5fSxPTPf1JYfPKJF4W11140eYwbRzIYN46CZMIEzoIvvZT/f2kp/7tWrUjQmzfTVzZ9OgmioIAk364dBa+s5VFQwAnFwIH8fO+9vG+kGu748RSId91FzeKXX6gN7L23V/LkyScptHv04Ni6daOZqqKCbYtj+8QTOcmQsN7f/Y5aLkBtZ+lSmpFyc6kp3HwzJyqiGT30ELXjhx5i+yL8pXx9Xh5Js7qapDNrlhdG/MMP1Jp79OA93KaNtzBbcTHblWCCp57iZGrkSJJZTg7P8cQTNMXl5vI6HXmkt47H/Pl8FqdN8+padevGSd1ee/F/kUWupIry1q0kmDlz/P0lyQwJkd4VcATSgOjQgTfylCn8XFnJhzwjg+aGPfbgzXnttbxRL7qIs0ulGGd/4418yO+/nzNBgMLg/vs5i+rVi07Go4/2QmorKxldM3cuCWjzZu6X2j89elBADhzIhyY/nzPCzZu9+kiS1S5mKr91Q/xMWkEOxWj2Bb039/mZsfz8HX7vAW/fjz9S21u2jPtyc2k6XLeO74cNo4CbPZumpttu43Vbs4YaxbBhXhTW7bdzFvvyy5xlf/01CeT44z1b/i23UPOZOJEkdNllFKoATZNr1lCQZWXx+7VraX4ZNIhmn5oanqO21vNHfPcd2zzpJGobW7bQgS8FDjMyKDQnTuTk4rzzGB312Wf8zzZvplBPTyf5SRSW1K+69lr254cfqI2cdhpNerW1JMqSEhJYVhY1uQ8+YOLfYYd5wQRSnufll3mvHXIIiWHQIF7flSs5mZFyMwMGsO1vviFBtWrFSdLAgd7aOZ9/Ts3o2mt5HSQLf8UKaih//7tXPfe77/hfLFjANo44gn0YMSJ8+LuN2lqO18xaN6OytPay1IOipxr6c32isnaV9gEkiECUUu0BvAWgD4CVAP6otd7mc9wYAI8DSAXwgtb6vtD+BwGcAKASwK8AztVaFzZG3yPh/PP5UK5cyYdV6geVlvLBe+YZPvyyRrrWdBY++igfqIcf5h9eW8sH8fnn+TDccAOFi9xY8+d7he+kGmtuLmfZSnHfd995a0+kptJcsvvu3A4cSFNOhw4UMH6orfVmaab5aseOuuXfzaisWE1Y0diHw5mponmflsb/YvlyanSSAX3MMd5Kfdu2kVzbt6cWUV1NoSZrZKSkULBOn07zyh57UPDfdhtNBFIv68knSSrXXEPhVVPD327cSMLasIGC8qST6LcoKyPBtW7tRRK9/DInBHfeyZmz6feQ9dhvvpnm0ZdfZp/nzuU9dcABPCY1leah0lL2U1YBHDuWRFlbyz5p7SX3bdvmRX5dcQWvywsv1I0IW7mS7QwdyppgEkywZAnv3VGjaNY76CD2fdkyjnnNGi8q7rjjeP0lKuvqq3k9H36YmvzWrdy3YAHNZGedxesyeTKDBVq2pGZywAHsY14eTVyzZ/PZueEG+iRlbRytababNYv3wJo1fAYlmVYmTNnZdZMJzdpY9r6srLqRgUIq5r5wdbLMz/KsmbDJIhryCPqNlLrv3bvh11NPlAZyA4DPtdb3KaVuCH2+3jxAKZUK4GkARwHIBzBDKTVJa70IwDQAN2qtq5VS9wO40f59ojBoEGeBp5/urde9ahVNB5MnU2iLzbi6mmG8773Hmdxdd/HG3LiRM9DZs0ky11zjhWLOmEFSmT2bN/yRR/K3Q4bsPMvSmsJHzFhSDsVOLJRyGJJxK3HwQWuyJyMkB6a6mmPs2ZPmoZUrqSVu2MD/Th7qp5+mieb+++lfWrSIZpPDD+fsvLKSggrgMRkZjFiaOJHJoqefzu9SU3ne776jwD/iCBJJRgaFuyx7u99+3M6Zw1n0mDEUgjU11ABMv8eLL/I+uOUWTgS2bqX22q0bBalop+IrmD6dRLjvvhz37Nn0RWzbxntn40aO5/bbKdifeortiN/jhBP4Ki/3ckLuuYftPPOMV2J+1Ci2l5JCDWf2bN77EydyrMcfT42kY0fPjLdyJbWlO++kEF+5kkEmW7ZwvFJo8bnn2Jdhw2he7NCBwv/556ldtmzJ/2PsWK86b14eSXrKFP6/gFdKRkKIxZQlxSjXruUEqajIm5g1F5hBOg2FRBHIWACHhd6/CuAr7EwA+wNYrrXOAwCl1Juh3y3SWhuZDvgBwKm7srOxYvhwRpb88gtV4S1bOOvJyKA9cu+9eYPecAMf0r/+laq4OCtvuIGC7o47KESUok38oYc4u+3YkSr9iSeGj7RQisKvc2f8/yVJAQqc5cv5UG3ZQkEiEVm1tV5Ulp1caJqvzJffGtJAbPvs78zPQVFZsbwvK2MexzffcPY8d64X5PDBB57J47PPqEG+9hqJ4ogj6pb2EF/DY4/RHPXwwxTcc+dSqO63nxcdJbj5ZmqZb79NIb5uHf+DvDwKvmHDSP6yjoxEYQEUnHPmeH6P2bO5b8wY/v+mNvL443VnmEOHst9vvUWhmJZGobt5M++nNm2oKXz4ISPV/vc/tj9gAI+5+Wb6Da67jud78EH2+YknqCn8979eOLGUmBeccgoJoLqaxLJyJZ+LZct47p9+4vUfMICkl5JCUrzuOhLAhAletv3dd3PydcIJHI/U/hJ/4QknkHRk+dt589gvKR9z0EEkqREjSB7RmoJqavj8Soa6WXyxtHTnAopmoUW5/6LZb/fH9r9E+hy0z4ZZ9qXBoLVu9BeAQuvzNp9jTgXNVvL5bABP+Rz3MYA/h2nrIgAzAczs1auXbixMnap1v35aZ2dr3bq11vvvr/XQoVp/843Wq1ZpffLJWh9wgNaTJnm/ee89rffbT+vTTtN69Wruq6nR+vXXtR45Uuvf/U7rV17RuqKi0YbR7HDllby+I0dqfcQR/H8OPpj/zS23aL3XXlofeKDW556rdWUlf3PrrfxfZs/m588/13r4cK0feYSft27VeswYrceO1Xr7dv92t27lb66+WuvddtO6b1/eF+edp/Wpp3I7cCD78uuv/M133/E3d99dt50//EHrkhLumzCBx3z4YfCYH36Y986xx3IcLVty7HLugQO13nNPrW+7TevaWt5zF13E30hf/vMfHv/00/y8fLnWBx2k9YUXetfJxqZN/M1NN3F7661ad+2qdZcuWufmav2nP2l95pk89qOP+IycdprWa9dy3/btPP/w4Vq/+CL7prXWX32l9ahRWh92GP8Lwdq1Wl91FY8/4gj+ZsuW4OviED0AzNR+8tVvZ0O8AHwGYIHPa2yUBHKaD4E8aR0zDsAHAFQ0fRo+fHiDX9hweO01rXv35oN29tm8sR9+WOvDD9d69GitZ83icTU13D98uNaXXaZ1cTH3b96s9aWXcv8VV2i9fn2jdr9Z4pFHeD3btaMg69FD68ce477LL6dQP+IIrQsKeLwIzuee4+f16ym4zj6bgrOmhv/ZQQdp/csvwe3W1mp91FFaDxhA0hoxQut99tH6+utJPHvvrXWHDp5AXL+e98jpp2tdXs7fX345yU3a+fFHnufWWz3h6oePPuIYOnTgmAcN0vrOO7nv738noRx7LNvRmiQxfLjWH3/Mz3l5JJMLL9S6ulrr0lKS3lFHhRfQtbW8148+2rvWLVuSBA89VOvrrtP6lFO0vv9+ry87dvC3a9ZwknXggVp/+ql3vtdf55jPPlvrdeu4v6ZG65df5n9w8MFav/SS1mVlwf1yiB2NTiDhXgCWAOgaet8VwBKfYw4CMMX4fCPo95DP5wD4HkB2tO02NoHU1FAI7L8/H6JevTjzPO00rfPzeUxxMQXD8OFaP/QQH1CtOds96ig+FO+8E15AOESP5cu1Pv54Evs55/C6P/mk1oMHa92/Pwnkp5947JIlFJznn8//pbpa6wsu4Ox3zRoe88orPMc770Ru+6OPtD7xRLZzxx383bXX8p7o1IlCVWtqmGefrfUhh1Bb1ZqCc/hwrd96i58LCnh/nHYaBXo4FBdT89lvP2ovRx3F9vfYg9ehXTutp0zhsV9/zXbuvJOfS0vZxpFHeqR6++0U4j/+GHnM99xDwmrViiS1zz5se9Qorf/2N5KKTKyqqvib+fNJ4ocf7ml91dUe0Vx7rUcQ69d7Wsq112q9cWPkPjnEjqZGIA8CuCH0/gYAD/gckwYgD0BfABkA5gHYK/TdGACLAHSMpd3GJhCttX7+eRJHdjZfY8Z4s6y1a7X+4x/5YL/7rvebSZNo3jrpJAo8h4bHeefxNXw4zTWtWtG0NHgwzYfbtpFojjmGphitqYUMH06tRGut587lf3f99dET/IoVnlln8GCazHJytD7uOK3POIPnuesuHvPFF/zN4sW8H666it9XV1NomiamaHDbbRTiYgbLzmYf9t2XptW8PJLWn//smUnvuINk8cMP/PzJJ+zbs89G12ZNDQl52DCtx43zxt6nj9bdulEr+vpr7/jPP+ekaexYjzxLSrT+xz/428ce4zm1Zp8OP5xk9PHHbpK1K9HUCKQDgM8BLAtt24f2dwMw2TjuWABLwVDdccb+5QDWAJgbeo2Ppt1EEEhNDR+Y7t35oN5yC/fPnctZ3aGHeg9nTQ1nw8OHa33xxcH2dIf648YbqRnm5vK/yc3V+ppreO1//pkawEEHab1wIY+fPZtkIf/f9u0Uxiee6E0IokFJCc8zdCjNOb178/3119OcM358XV9DSQknEscco3VhIfc99VRdIosW4i/p0sV7iX/i3Xc5nqOO8kxDYvoSslixwjNliRCPBhUVHPPJJ1Pj6N2b5DV6NF9akxTFdHbuufT3aE2t56yz+HvR8mprtX7jDe774x89f6HDrkMQgSQkCktrvQXAET7714GkIZ8nA5jsc9xuu7SDDYiUFEa2TJvGKJg1a1jW5OmnGX//6KOMrikrY6z/l18y3+O665rPKoFNEb//PfNBampY9G/lSsb419Twf1i7llFHUpbk+usZmnr99V7pki1bmIfRqlX07WZnM5z1jTcYBXXyycyzSEtjZNzKlYyu+tvf2M7ddzPiaPx4Hv+//3kJhcceG7G5ncb8xhscz7Bh3EoY6yOP8P2ECbwvf/mF0VH778+E18pKhgpnZnrlTaJFRgbP89lnjPgbNozRYvIfrF/P6zlzJiO6rr2WEX9mdrpUs66uZnLn++9zffe77vLyPRwSAD9Waa6vRGgggltu4Uy3QwfOsq66ytMwNm5kRMp++9HW7VTxxsGmTTTlSOTOJZdo3aYN7fTizK6ooK/EjI566y0e//rr8bc9a5YXlTViBE1HOTk0M4kf7KWXeMzLL/Pz+vU02Zx5pufwjhU1NfS5nXkmTT/nnku/zz77aD1vHo/Ztk3rE06g1iOagPgfpk+Pr90dO6g1DBlC5/nw4fSPDBxIrebggz2nvdZaf/st+3fMMfRFaU1tTIJKnnoqNi3IoX5AUzJhJeqVSAIpLqYq3rmz1m+/7ZHEwoV0sI8axYfGoXFxwQX0CXTvTpt8To7Wb77J76qrKeCHD/cIZckSmrb+8Y/6Ef3atTzvoYeyzW7d6GyWc376KYll3Djuq6zU+q9/5X0ivoF4cc89PHfv3jRjtWvnRZmVlHjmuwULuO/LLz1Hd30gYb1nn822d9uNZjwzwrCmRuuJEzmZOusszym+aZNnygoXsuywaxBEIDEoog71QcuWVLd79PDKFrz/PmthZWTQLHHwwYnt428RBx1EU05hIROt+venSbGy0luG+JprmBG9YwcT/Nq0YfmOeGsTATQTDRxI81R6Os1anTvznFOnsu1hw7zExUceYVn2W2/11iyJF1INuqiISa19+zKze8cOmozEfLXXXkx6vPNOlhq59NL6tduhA6/t99+z+GK7dvz86KMsQVJYyIz2xx9nhrys+rhyJeturV5NU9bYsfXrh0PDwRFII6JvXz6wzzzDRYnuvZeZybJ+hEPj45xz6I8aPJiZ21K36pJLKMgvv5z/lZRSX7eO/5tkPccLqeJ7xx2sctuhA0lrwgS2s88+FKwtWrBEyjvvcMmAI4+s/5gPOoiTl6OPZttK0Td3wQXecrWHHMJs6yuv5G/++c/gJWCjhWTwX3AB7/cxY1gBoLqa2fAnn8y6YNddxyz27Gxm3p93Hku5PPdc46317RAdnJu2EaEUH8777+fDedttLCwXi0PSoWGRmkoneq9e1Aa2bOGsv3VrliY5+mjO1h94gDPnm28m0TQEWrXihAJgSY4lS0ggxx3H+lcZGWzznntYhqO+GoCJXr0YFDB3LrWBJ5/kBOeJJ+jwrqoikclytj17Nky7PXvSUf7OO96KgKecwqCFoUOp4fXvz2v+9tssFdO9O/vXvXvD9MGhAeFn12qur0T6QByaNm65hY7k7Gw6biXRs6aGCZ7Dh2v9+OMN325FBf0gvXrRFzJliucHmTGDDuYzz9S6qKjh25bkxFatmLgnWeWVlV5I83vvNXy7lZUMGujTh9f7j3/Ueto0b9xFRfw/pAJDLGHSDrsGcE50RyAOwSgspPN2r72Y/Kk1Ax9EkD788K6LjsvLY3b3sGF0FtfWMgfjgAOYBb55865pt6aGyYqjR7McitYkkfPP55jfeGPXtKs1o9D+/ncGDkhWf20tgxXGjKGz/LnnXKRVU0EQgTgTloMD6Bg/+2yWSi8oYKXZJ59k5dirrmK12fo4zcOhb186tj/+mGXfv/yS63fstx9NZw29hoMgJYXtvvwyTUjvvUd/UEWFZ77bVRg2jH6lH3+k6XDpUpZ9X7CA6448/DBzcByaNhyBODgY2GMPOpjff59RUg88QAf7rsbAgSSoO++k8/jKK0lajeEf23dfJhjOnUs/xI03UojvavTpw/GJb6dLF/qfjj/eW9PEoWlDUTv5bWDEiBF65syZie6GQxNGXh7XB9lvP4ZVN2aAwzffMMrrmGOoETUWiooYBbXHHt6qiI2FSZOodYwaxXXQXUBJ04RSapbWesRO+x2BODg4ODiEQxCBOL53cHBwcIgLjkAcHBwcHOKCIxAHBwcHh7jgCMTBwcHBIS44AnFwcHBwiAuOQBwcHBwc4oIjEAcHBweHuOAIxMHBwcEhLvymEgmVUpsArIrz57kANjdgdxoKTbVfQNPtm+tX7GiqfXP9ig3x9qu31rqjvfM3RSD1gVJqpl8mZqLRVPsFNN2+uX7FjqbaN9ev2NDQ/XImLAcHBweHuOAIxMHBwcEhLjgCiR4TEt2BADTVfgFNt2+uX7GjqfbN9Ss2NGi/nA/EwcHBwSEuOA3EwcHBwSEuOAJxcHBwcIgLjkCigFJqjFJqiVJquVLqhgT2o6dS6kul1GKl1EKl1D9C+9srpaYppZaFtu0S1L9UpdQcpdQnTaVfSqm2Sql3lVK/hK7bQU2hX6G+XRn6Hxcopd5QSmUmom9KqZeUUgVKqQXGvsB+KKVuDD0LS5RSu2zl9IB+PRj6L+crpT5QSrVt7H4F9c347hqllFZK5TZ234L6pZS6LNT2QqXUAw3WL621e4V5AUgF8CuAfgAyAMwDMChBfekKYFjofWsASwEMAvAAgBtC+28AcH+C+ncVgH8D+CT0OeH9AvAqgAtC7zMAtG0i/eoOYAWArNDntwH8NRF9A3AIgGEAFhj7fPsRut/mAWgBoG/o2UhtxH79HkBa6P39iehXUN9C+3sCmAImLOc2kWt2OIDPALQIfe7UUP1yGkhk7A9gudY6T2tdCeBNAGMT0RGt9Xqt9ezQ+x0AFoOCaCwoKBHa/qGx+6aU6gHgOAAvGLsT2i+lVA74QL0IAFrrSq11YaL7ZSANQJZSKg1ANoB1SEDftNbfANhq7Q7qx1gAb2qtK7TWKwAsB5+RRumX1nqq1ro69PEHAD0au19BfQvhUQDXATCjkxJ6zQD8DcB9WuuK0DEFDdUvRyCR0R3AGuNzfmhfQqGU6gNgKIAfAXTWWq8HSDIAOiWgS4+BD06tsS/R/eoHYBOAl0OmtReUUi2bQL+gtV4L4CEAqwGsB7Bdaz21KfQthKB+NKXn4TwA/w29T3i/lFInAlirtZ5nfZXovg0EMEop9aNS6mul1H4N1S9HIJGhfPYlNPZZKdUKwHsArtBaFyWyL6H+HA+gQGs9K9F9sZAGqvPPaq2HAigBzTEJR8inMBY0HXQD0FIp9efE9ioqNInnQSk1DkA1gNdll89hjdYvpVQ2gHEAbvX72mdfY16zNADtABwI4FoAbyulVEP0yxFIZOSDdk1BD9DUkBAopdJB8nhda/1+aPdGpVTX0PddARQE/X4X4XcATlRKrQRNfKOVUv9qAv3KB5Cvtf4x9PldkFAS3S8AOBLACq31Jq11FYD3AYxsIn1DmH4k/HlQSp0D4HgAf9IhY34T6Fd/cDIwL/Qc9AAwWynVpQn0LR/A+5r4CbQS5DZEvxyBRMYMAAOUUn2VUhkAzgAwKREdCc0aXgSwWGv9iPHVJADnhN6fA+CjxuyX1vpGrXUPrXUf8Pp8obX+cxPo1wYAa5RSu4d2HQFgUaL7FcJqAAcqpbJD/+sRoE+rKfQNYfoxCcAZSqkWSqm+AAYA+KmxOqWUGgPgegAnaq1Lrf4mrF9a65+11p201n1Cz0E+GPCyIdF9A/AhgNEAoJQaCAaTbG6Qfu2qKIXm9AJwLBjx9CuAcQnsx8GgijkfwNzQ61gAHQB8DmBZaNs+gX08DF4UVsL7BWAIgJmha/YhqMonvF+hvt0B4BcACwC8BkbDNHrfALwB+mGqQMF3frh+gKaaXwEsAXBMI/drOWi3l/t/fGP3K6hv1vcrEYrCagLXLAPAv0L32WwAoxuqX66UiYODg4NDXHAmLAcHBweHuOAIxMHBwcEhLjgCcXBwcHCIC45AHBwcHBzigiMQBwcHB4e44AjEwSEClFIdlFJzQ68NSqm1offFSqlndlGbVyil/tIA53lTKTWgIfrk4GDDhfE6OMQApdTtAIq11g/twjbSwHj9YdorHBjvuQ4F8Get9YUN0jkHBwNOA3FwiBNKqcOUt/bJ7UqpV5VSU5VSK5VSJyulHlBK/ayU+jRUggZKqeGhgnazlFJTpFyIhdEAZgt5KKW+Uko9qpT6RnFNk/2UUu8rrtVxd+iYlkqp/yil5imuL3J66FzfAjgyREoODg0KRyAODg2H/mBJ+7Fg5u+XWuu9AZQBOC5EIk8COFVrPRzASwDu8TnP7wDYhSkrtdaHABgPlhW5BMBgAH9VSnUAMAbAOq31vlrrwQA+BQCtdS2Yvb1vg47UwQGOQBwcGhL/1SyM+DO4ENmnof0/A+gDYHdQ6E9TSs0FcDO89SxMdAXL0JuQ+ms/A1iouTZMBYA8sCDez6Cmcb9SapTWervx2wKw4q+DQ4PCqbUODg0HWbCnVilVpT0HYy34rClQ+B8U4TxlADL9zh06V4WxvxZcoW+pUmo4WBvtn0qpqVrrO0PHZIbO6eDQoHAaiIND42EJgI5KqYMAluZXSu3lc9xiALvFcmKlVDcApVrrf4ELVQ0zvh4IYGF8XXZwCIbTQBwcGgla60ql1KkAnlBKtQGfv8ews3D/L1idNxbsDeBBpVQtWIn1bwCglOoMoEyHVhd0cGhIuDBeB4cmCKXUBwCu01ovq+d5rgRQpLV+sWF65uDgwZmwHByaJm4Anen1RSGAVxvgPA4OO8FpIA4ODg4OccFpIA4ODg4OccERiIODg4NDXHAE4uDg4OAQFxyBODg4ODjEBUcgDg4ODg5x4f8BQE9ixIFcydgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(10):\n",
    "    zline = - i * 0.02*M.v.max()\n",
    "    plot(M.t/ms + i*1, M.v[i*4]+zline, alpha=0.8, color='b')\n",
    "ylabel('V (mV)')\n",
    "xlabel('Time (ms)');\n",
    "# legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видно, что за время действия тока по аксону \"пробежали\" 4 потенциала действия.\n",
    "\n",
    "Инфу о спайках (по превышению порога) мы накопили в экземпляре объекта `SpikeMonitor`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<spikemonitor.count: array([4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n",
       "       4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4])>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spikes.count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'i', 't'}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spikes.record_variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(spikes.t/ms, spikes.i, '*');\n",
    "ylabel('i')\n",
    "xlabel('Time (ms)');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Удаление \"электрода\" от сомы возьмем из соответствующего свойства морфологии нейрона. У каждого компартмента заданы трехмерные координаты, но в данном случае с одним аксоном - это цилиндрические сегменты, выстроенные друг за другом.\n",
    "\n",
    "Отберем только время первого по счету спайка во всех компартментах. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mask = spikes.t < 60*ms\n",
    "plot(neuron.distance/um, spikes.t[mask]/ms);\n",
    "xlabel('Координата (мкм)');\n",
    "ylabel('Время (мс)');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Поскольку квантование модели было 20 мкс, то график ступенчатый. \n",
    "Примерно скорость распространения ПД - 100мкм/0.1мс или 1мм/1мс или 1 м/с, что соответствует скорости проведения по миелинизированным волокнам.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Можно \"прикинуть\" к данным линейную регрессию."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Скорость = 1.07 м/с\n"
     ]
    }
   ],
   "source": [
    "slope, intercept, r_value, p_value, std_err = stats.linregress(spikes.t[mask]/second,\n",
    "                                                neuron.distance[spikes.i[mask]]/meter)\n",
    "print(\"Скорость = %.2f м/с\" % slope)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Период рефрактерности = интервал между последовательными спайками, то есть при постоянном действии тока как только нейрон готов, происходит следующий спайк."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$16.0066666666667\\,\\mathrm{m}\\mathrm{s}$"
      ],
      "text/plain": [
       "16.00666667 * msecond"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.diff(spikes.t[spikes.i == 0]).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Таким образом, специальные объекты - мониторы - позволяют удобно записывать и анализировать интересующие исследователя данные.\n",
    "Сами вычисления объемных уравнения происходят в модели нейрона путем пошагового обновления пространственного состояния при запуске симуляции."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Thresholder(clock=Clock(dt=20. * usecond, name='defaultclock'), when=thresholds, order=0, name='spatialneuron_thresholder'),\n",
       " StateUpdater(clock=Clock(dt=20. * usecond, name='defaultclock'), when=groups, order=0, name='spatialneuron_stateupdater'),\n",
       " SpatialStateUpdater(clock=Clock(dt=20. * usecond, name='defaultclock'), when=groups, order=1, name='spatialneuron_spatialstateupdater')]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "neuron.contained_objects"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Spike-Timing Dependent Plasticity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для моделирования процессов обучения нейросетей добавляют возбуждающие и тормозные синапсы на разном удалении от сомы (к дендритам разной длины).\n",
    "\n",
    "В результате можно продемонстрировать явления:\n",
    "- долговременная потенциация (LTP), \n",
    "- длительная депрессия (LTD)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# S = Synapses(stimulation, neuron, model='''dg/dt = -g/taus : siemens\n",
    "#                                            gs_post = g : siemens (summed)''',\n",
    "#              on_pre='g += w')\n",
    "# S"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## * * *\n",
    "- [Элефант](https://elephant.readthedocs.io/en/latest/tutorials.html) - анализ спайковой активности\n",
    "\n",
    "- [Neurom](https://neurom.readthedocs.io/en)\n",
    "пакет для анализа морфологий от BlueBrain. \n",
    "[тестовые морфологии](https://github.com/BlueBrain/NeuroM/tree/master/tests/data/swc) .\n",
    "[туториал онлайн](https://mybinder.org/v2/gh/BlueBrain/NeuroM/master?filepath=tutorial%2Fgetting_started.ipynb) .\n",
    "\n",
    "- [Учебник \"Нейронная динамика\"](https://neuronaldynamics.epfl.ch/index.html)\n",
    "- [Примеры сетей от Института Аллена](https://alleninstitute.github.io/bmtk/examples.html)\n",
    "- [Туториал по NEURON с использованием Python](https://neuron.yale.edu/neuron/docs/scripting-neuron-basics)\n",
    "\n",
    "### Современные симуляторы спайковых нейросетей (SNN): \n",
    "- Brian2, \n",
    "- Bindsnet, \n",
    "- PyNest, \n",
    "- Nengo, \n",
    "- NEURON, \n",
    "- CARLsim\n",
    "- Brian2GeNN.\n",
    "- [SpiNNaker Neuromorphic Compute Platform](https://spinnakermanchester.github.io)\n",
    "\n",
    "Искусственные спайковые сети!!!\n",
    "\n",
    "https://www.mdpi.com/2079-9292/10/18/2281/htm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Практическая работа"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Скачать морфологию нейрона в Stockley-Wheal-Cannon формате (SWC).\n",
    "2. Задать параметры пространственной модели\n",
    "3. Запустить симуляцию с разными параметрами. Прокомментировать рисунки."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Рекомендации по выполнению*\n",
    "\n",
    "> Задайте структуру отчета с помощью заголовков. Импортируйте необходимые библиотеки (см. ранее в этом блокноте).\n",
    "\n",
    "> Дайте характеристику найденного вами нейрона (локализация, вид организма, функция).\n",
    "\n",
    "> Сделайте визуализацию морфологии."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для получения правдоподобных морфологий можно скачать экспериментально полученные морфологии. Их получают окрашиванием дендрито-специфичных белков, или синапсоспецифичных, а затем корректируют, добавляя аксон или исправляя разные нестыковки. \n",
    "Доработке морфологии отдельных типов нейронов посвящены специальные биофизические работы."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Soma(diameter=12.5416 * umetre, x=0.8303095 * mmetre, y=1.1272679 * mmetre, z=29.7869585 * umetre)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# morpho = Morphology.from_file(r'NEURON/hbp-00938_morph-ChIN-STR_sbj1-160504_cell1_2_derived__18AUG21207_160504_no_2_Left_x63.swc')\n",
    "morpho = Morphology.from_file(r'NEURON/768904007_transformed.swc')\n",
    "morpho"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# сложная топология\n",
    "# morpho.topology()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "plot_morphology(morpho, plot_3d=False, show_diameter=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Трехмерный интерактивный просмотр работает в отдельном окне...  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib qt\n",
    "plot_morphology(morpho, plot_3d=True, show_compartments=True,\n",
    "                show_diameter=True, colors=('darkblue',));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Можете вставить в отчет скриншоты удачных ракурсов 3D модели нейрона, полученные самостоятельно или в онлайн-визуализаторах."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "attachments": {
    "7b8ce277-fb5d-48af-b31d-7f4acb3cec02.png": {
     "image/png": 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"
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