{ "cells": [ { "cell_type": "markdown", "id": "1d18ab59", "metadata": {}, "source": [ "# Ejercicio 1" ] }, { "cell_type": "markdown", "id": "3fde800b", "metadata": {}, "source": [ "# EXPLORACIÓN INICIAL DE VARIABLES Y LIMPIEZA DE DATOS" ] }, { "cell_type": "code", "execution_count": 2, "id": "223eb88e", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Unnamed: 0RowNumberCustomerIdCreditScoreGenderBalanceNumOfProductsHasCrCardIsActiveMemberAgeGeographyEstimatedSalarySurnameExitedTenure
00115634602619Female0.0011142.0Texas101348.88Hargrave12
11215647311608Female83807.8610141.0California112542.58Hill01
22315619304502Female159660.8031042.0Texas113931.57Onio18
33415701354699Female0.0020039.0Texas93826.63Boni01
44515737888850Female125510.8211143.0California79084.10Mitchell02
................................................
99959995999615606229771Male0.0021039.0Texas96270.64Obijiaku05
99969996999715569892516Male57369.6111135.0Texas101699.77Johnstone010
99979997999815584532709Female0.00101NaNTexas42085.58Liu17
99989998999915682355772Male75075.3121042.0Alabama92888.52Sabbatini13
999999991000015628319792Female130142.7911028.0Texas38190.78Walker04
\n", "

10000 rows × 15 columns

\n", "
" ], "text/plain": [ " Unnamed: 0 RowNumber CustomerId CreditScore Gender Balance \\\n", "0 0 1 15634602 619 Female 0.00 \n", "1 1 2 15647311 608 Female 83807.86 \n", "2 2 3 15619304 502 Female 159660.80 \n", "3 3 4 15701354 699 Female 0.00 \n", "4 4 5 15737888 850 Female 125510.82 \n", "... ... ... ... ... ... ... \n", "9995 9995 9996 15606229 771 Male 0.00 \n", "9996 9996 9997 15569892 516 Male 57369.61 \n", "9997 9997 9998 15584532 709 Female 0.00 \n", "9998 9998 9999 15682355 772 Male 75075.31 \n", "9999 9999 10000 15628319 792 Female 130142.79 \n", "\n", " NumOfProducts HasCrCard IsActiveMember Age Geography \\\n", "0 1 1 1 42.0 Texas \n", "1 1 0 1 41.0 California \n", "2 3 1 0 42.0 Texas \n", "3 2 0 0 39.0 Texas \n", "4 1 1 1 43.0 California \n", "... ... ... ... ... ... \n", "9995 2 1 0 39.0 Texas \n", "9996 1 1 1 35.0 Texas \n", "9997 1 0 1 NaN Texas \n", "9998 2 1 0 42.0 Alabama \n", "9999 1 1 0 28.0 Texas \n", "\n", " EstimatedSalary Surname Exited Tenure \n", "0 101348.88 Hargrave 1 2 \n", "1 112542.58 Hill 0 1 \n", "2 113931.57 Onio 1 8 \n", "3 93826.63 Boni 0 1 \n", "4 79084.10 Mitchell 0 2 \n", "... ... ... ... ... \n", "9995 96270.64 Obijiaku 0 5 \n", "9996 101699.77 Johnstone 0 10 \n", "9997 42085.58 Liu 1 7 \n", "9998 92888.52 Sabbatini 1 3 \n", "9999 38190.78 Walker 0 4 \n", "\n", "[10000 rows x 15 columns]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd \n", "import numpy as np\n", "\n", "df = pd.read_csv(r\"df_estados_bank.csv\", sep=\",\")\n", "\n", "df" ] }, { "cell_type": "code", "execution_count": 2, "id": "8ffe716a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['Unnamed: 0', 'RowNumber', 'CustomerId', 'CreditScore', 'Gender',\n", " 'Balance', 'NumOfProducts', 'HasCrCard', 'IsActiveMember', 'Age',\n", " 'Geography', 'EstimatedSalary', 'Surname', 'Exited', 'Tenure'],\n", " dtype='object')" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# columnas del dataset.\n", "\n", "columnas = df.columns\n", "columnas" ] }, { "cell_type": "code", "execution_count": 3, "id": "1f7a1dcf", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Unnamed: 0: [ 0 1 2 ... 9997 9998 9999]\n", "RowNumber: [ 1 2 3 ... 9998 9999 10000]\n", "CustomerId: [15634602 15647311 15619304 ... 15584532 15682355 15628319]\n", "CreditScore: [619 608 502 699 850 645 822 376 501 684 528 497 476 549 635 616 653 587\n", " 726 732 636 510 669 846 577 756 571 574 411 591 533 553 520 722 475 490\n", " 804 582 472 465 556 834 660 776 829 637 550 698 585 788 655 601 656 725\n", " 511 614 742 687 555 603 751 581 735 661 675 738 813 657 604 519 664 678\n", " 757 416 665 777 543 506 493 652 750 729 646 647 808 524 769 730 515 773\n", " 814 710 413 623 670 622 785 605 479 685 538 562 721 628 668 828 674 625\n", " 432 770 758 795 686 789 589 461 584 579 663 682 793 691 485 650 754 535\n", " 716 539 706 586 631 717 800 683 704 615 667 484 480 578 512 606 597 778\n", " 514 525 715 580 807 521 759 516 711 618 643 671 689 620 676 572 695 592\n", " 567 694 547 594 673 610 767 763 712 703 662 659 523 772 545 634 739 771\n", " 681 544 696 766 727 693 557 531 498 651 791 733 811 707 714 782 775 799\n", " 602 744 588 747 583 627 731 629 438 642 806 474 559 429 680 749 734 644\n", " 626 649 805 718 840 630 654 762 568 613 522 737 648 443 640 540 460 593\n", " 801 611 802 745 483 690 492 709 705 560 752 701 537 487 596 702 486 724\n", " 548 464 790 534 748 494 590 468 509 818 816 536 753 774 621 569 658 798\n", " 641 542 692 639 765 570 638 599 632 779 527 564 833 504 842 508 417 598\n", " 741 607 761 848 546 439 755 760 526 713 700 666 566 495 688 612 477 427\n", " 839 819 720 459 503 624 529 563 482 796 445 746 786 554 672 787 499 844\n", " 450 815 838 803 736 633 600 679 517 792 743 488 421 841 708 507 505 456\n", " 435 561 518 565 728 784 552 609 764 697 723 551 444 719 496 541 830 812\n", " 677 420 595 617 809 500 826 434 513 478 797 363 399 463 780 452 575 837\n", " 794 824 428 823 781 849 489 431 457 768 831 359 820 573 576 558 817 449\n", " 440 415 821 530 350 446 425 740 481 783 358 845 451 458 469 423 404 836\n", " 473 835 466 491 351 827 843 365 532 414 453 471 401 810 832 470 447 422\n", " 825 430 436 426 408 847 418 437 410 454 407 455 462 386 405 383 395 467\n", " 433 442 424 448 441 367 412 382 373 419]\n", "Gender: ['Female' 'Male']\n", "Balance: [ 0. 83807.86 159660.8 ... 57369.61 75075.31 130142.79]\n", "NumOfProducts: [1 3 2 4]\n", "HasCrCard: [1 0]\n", "IsActiveMember: [1 0]\n", "Age: [42. 41. 39. 43. 44. 50. 29. nan 31. 24. 34. 25. 35. 45. 32. 38. 46. 36.\n", " 40. 51. 61. 49. 27. 37. 33. 19. 66. 26. 21. 55. 75. 22. 30. 28. 65. 48.\n", " 52. 56. 57. 73. 47. 54. 72. 20. 67. 79. 62. 53. 58. 80. 59. 68. 23. 60.\n", " 70. 63. 64. 18. 82. 69. 74. 71. 76. 77. 88. 85. 84. 78. 81. 92. 83.]\n", "Geography: ['Texas' 'California' 'Alabama']\n", "EstimatedSalary: [101348.88 112542.58 113931.57 ... 42085.58 92888.52 38190.78]\n", "Surname: ['Hargrave' 'Hill' 'Onio' ... 'Kashiwagi' 'Aldridge' 'Burbidge']\n", "Exited: [1 0]\n", "Tenure: [ 2 1 8 7 4 6 3 100 5 9 0 10]\n" ] } ], "source": [ "# valores unicos en cada variable.\n", "\n", "for i in columnas:\n", " print(f\"{i}: \",df[i].unique()) " ] }, { "cell_type": "code", "execution_count": 4, "id": "0c79d980", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 10000 entries, 0 to 9999\n", "Data columns (total 15 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Unnamed: 0 10000 non-null int64 \n", " 1 RowNumber 10000 non-null int64 \n", " 2 CustomerId 10000 non-null int64 \n", " 3 CreditScore 10000 non-null int64 \n", " 4 Gender 10000 non-null object \n", " 5 Balance 10000 non-null float64\n", " 6 NumOfProducts 10000 non-null int64 \n", " 7 HasCrCard 10000 non-null int64 \n", " 8 IsActiveMember 10000 non-null int64 \n", " 9 Age 9360 non-null float64\n", " 10 Geography 10000 non-null object \n", " 11 EstimatedSalary 9208 non-null float64\n", " 12 Surname 9706 non-null object \n", " 13 Exited 10000 non-null int64 \n", " 14 Tenure 10000 non-null int64 \n", "dtypes: float64(3), int64(9), object(3)\n", "memory usage: 1.1+ MB\n" ] } ], "source": [ "# información variables.\n", "\n", "df.info()" ] }, { "cell_type": "markdown", "id": "96b5e390", "metadata": {}, "source": [ "## REGISTROS DUPLICADOS" ] }, { "cell_type": "code", "execution_count": 3, "id": "1a7d317d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cantidad de registros duplicados: 0\n" ] } ], "source": [ "#(antes de imputar datos).\n", "\n", "print(\"Cantidad de registros duplicados: \",df.duplicated().sum())" ] }, { "cell_type": "markdown", "id": "541fd48f", "metadata": {}, "source": [ "## DATOS FALTANTES Y PORCENTAJE" ] }, { "cell_type": "code", "execution_count": 4, "id": "9316f317", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Total%
EstimatedSalary7927.9
Age6406.4
Surname2942.9
Unnamed: 000.0
RowNumber00.0
CustomerId00.0
CreditScore00.0
Gender00.0
Balance00.0
NumOfProducts00.0
HasCrCard00.0
IsActiveMember00.0
Geography00.0
Exited00.0
Tenure00.0
\n", "
" ], "text/plain": [ " Total %\n", "EstimatedSalary 792 7.9\n", "Age 640 6.4\n", "Surname 294 2.9\n", "Unnamed: 0 0 0.0\n", "RowNumber 0 0.0\n", "CustomerId 0 0.0\n", "CreditScore 0 0.0\n", "Gender 0 0.0\n", "Balance 0 0.0\n", "NumOfProducts 0 0.0\n", "HasCrCard 0 0.0\n", "IsActiveMember 0 0.0\n", "Geography 0 0.0\n", "Exited 0 0.0\n", "Tenure 0 0.0" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "total = df.isnull().sum().sort_values(ascending=False)\n", "percent_1 = df.isnull().sum()/df.isnull().count()*100\n", "percent_2 = (round(percent_1, 1)).sort_values(ascending=False)\n", "missing_data = pd.concat([total, percent_2], axis=1, keys=['Total', '%'])\n", "missing_data " ] }, { "cell_type": "markdown", "id": "aaf572e5", "metadata": {}, "source": [ "## ELIMINACIÓN DE VARIABLES" ] }, { "cell_type": "code", "execution_count": 5, "id": "5df941fa", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 10000 entries, 0 to 9999\n", "Data columns (total 11 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 CreditScore 10000 non-null int64 \n", " 1 Gender 10000 non-null object \n", " 2 Balance 10000 non-null float64\n", " 3 NumOfProducts 10000 non-null int64 \n", " 4 HasCrCard 10000 non-null int64 \n", " 5 IsActiveMember 10000 non-null int64 \n", " 6 Age 9360 non-null float64\n", " 7 Geography 10000 non-null object \n", " 8 EstimatedSalary 9208 non-null float64\n", " 9 Exited 10000 non-null int64 \n", " 10 Tenure 10000 non-null int64 \n", "dtypes: float64(3), int64(6), object(2)\n", "memory usage: 859.5+ KB\n" ] } ], "source": [ "# Eliminamos columnas poco descriptivas (4 columnas).\n", "\n", "df = df.drop(['Unnamed: 0','RowNumber','Surname','CustomerId'], axis=1)\n", "\n", "df.info()" ] }, { "cell_type": "markdown", "id": "572b7840", "metadata": {}, "source": [ "## TRANSFORMACIÓN DE VARIABLES CATEGÓRICAS A NUMÉRICAS" ] }, { "cell_type": "code", "execution_count": 6, "id": "835b0b27", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Valores variable Gender: [0 1]\n", "Valores variable Geography: [1 2 3]\n" ] } ], "source": [ "Gender={'Female':0,'Male':1}\n", "Geography = {'Texas':1,'California':2,'Alabama':3}\n", "\n", "df['Gender'].replace(Gender, inplace=True)\n", "df['Geography'].replace(Geography, inplace=True)\n", "\n", "print(\"Valores variable Gender: \",df['Gender'].unique())\n", "print(\"Valores variable Geography: \",df['Geography'].unique())" ] }, { "cell_type": "code", "execution_count": 82, "id": "98d4b0db", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "CreditScore int64\n", "Gender int64\n", "Balance float64\n", "NumOfProducts int64\n", "HasCrCard int64\n", "IsActiveMember int64\n", "Age float64\n", "Geography int64\n", "EstimatedSalary float64\n", "Exited int64\n", "Tenure int64\n", "dtype: object" ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.dtypes" ] }, { "cell_type": "markdown", "id": "0d44fee8", "metadata": {}, "source": [ "## IMPUTAMOS DATO DE LA MEDIANA A LOS FALTANTES " ] }, { "cell_type": "code", "execution_count": 7, "id": "f782657c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "CreditScore 0\n", "Gender 0\n", "Balance 0\n", "NumOfProducts 0\n", "HasCrCard 0\n", "IsActiveMember 0\n", "Age 0\n", "Geography 0\n", "EstimatedSalary 0\n", "Exited 0\n", "Tenure 0\n", "dtype: int64" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# se imputan a los datos faltantes de las variables EstimatedSalary y Age.\n", "\n", "df = df.apply(lambda x:x.fillna(x.median()))\n", "df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": 85, "id": "2593ede2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cantidad de registros duplicados: 0\n" ] } ], "source": [ "# registros DUPLICADOS (después de imputar datos).\n", "\n", "print(\"Cantidad de registros duplicados: \",df.duplicated().sum())" ] }, { "cell_type": "code", "execution_count": 86, "id": "37849e2b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CreditScoreGenderBalanceNumOfProductsHasCrCardIsActiveMemberAgeGeographyEstimatedSalaryExitedTenure
count10000.00000010000.00000010000.00000010000.00000010000.0000010000.00000010000.00000010000.00000010000.00000010000.00000010000.000000
mean650.5288000.54570076485.8892881.5302000.705500.51510038.7542001.749500100319.6311360.1703007.217800
std96.6532990.49793262397.4052020.5816540.455840.49979710.1493780.83043355246.1343790.37591514.965552
min350.0000000.0000000.0000001.0000000.000000.00000018.0000001.00000011.5800000.0000000.000000
25%584.0000000.0000000.0000001.0000000.000000.00000032.0000001.00000055360.9350000.0000003.000000
50%652.0000001.00000097198.5400001.0000001.000001.00000037.0000001.000000100608.4350000.0000005.000000
75%718.0000001.000000127644.2400002.0000001.000001.00000043.0000003.000000145426.5275000.0000007.000000
max850.0000001.000000250898.0900004.0000001.000001.00000092.0000003.000000199992.4800001.000000100.000000
\n", "
" ], "text/plain": [ " CreditScore Gender Balance NumOfProducts HasCrCard \\\n", "count 10000.000000 10000.000000 10000.000000 10000.000000 10000.00000 \n", "mean 650.528800 0.545700 76485.889288 1.530200 0.70550 \n", "std 96.653299 0.497932 62397.405202 0.581654 0.45584 \n", "min 350.000000 0.000000 0.000000 1.000000 0.00000 \n", "25% 584.000000 0.000000 0.000000 1.000000 0.00000 \n", "50% 652.000000 1.000000 97198.540000 1.000000 1.00000 \n", "75% 718.000000 1.000000 127644.240000 2.000000 1.00000 \n", "max 850.000000 1.000000 250898.090000 4.000000 1.00000 \n", "\n", " IsActiveMember Age Geography EstimatedSalary \\\n", "count 10000.000000 10000.000000 10000.000000 10000.000000 \n", "mean 0.515100 38.754200 1.749500 100319.631136 \n", "std 0.499797 10.149378 0.830433 55246.134379 \n", "min 0.000000 18.000000 1.000000 11.580000 \n", "25% 0.000000 32.000000 1.000000 55360.935000 \n", "50% 1.000000 37.000000 1.000000 100608.435000 \n", "75% 1.000000 43.000000 3.000000 145426.527500 \n", "max 1.000000 92.000000 3.000000 199992.480000 \n", "\n", " Exited Tenure \n", "count 10000.000000 10000.000000 \n", "mean 0.170300 7.217800 \n", "std 0.375915 14.965552 \n", "min 0.000000 0.000000 \n", "25% 0.000000 3.000000 \n", "50% 0.000000 5.000000 \n", "75% 0.000000 7.000000 \n", "max 1.000000 100.000000 " ] }, "execution_count": 86, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.describe()" ] }, { "cell_type": "markdown", "id": "013c3e9e", "metadata": {}, "source": [ "## OUTLIERS" ] }, { "cell_type": "code", "execution_count": 8, "id": "b33d3d04", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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\n", 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\n", 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0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJipV90DAC7Hrl27VFBQUN3DwFk8xadU/9i3OtWwhVy9+tU9HPyP1+vV9ddfX93DwFWI0ECNtWvXLt1www3VPQyc45aYOsp8qKGS/nFMm/aXVPdwcJadO3cSG7jiCA3UWKXvZMydO1cJCQnVPBqUCs/dKa19SPPmzdPJRoRgMNi2bZtGjBjBu3+oFoQGaryEhAQlJSVV9zBQKqeOtFZKaNtW8t1c3aMBUM04GBQAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAmVoTGidOnFBmZqZOnDhR3UMBAKBaBONrYa0Jje3bt6tjx47avn17dQ8FAIBqEYyvhbUmNAAAQPAhNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmKl0aKxdu1aDBg2Sz+eTx+PRkiVLDIYFAABqg0qHxvHjx9WhQwe98sorFuMBAAC1SL3KXqF///7q379/hdcvLCxUYWGh//v8/PzK3mSFnDx5UpK0bds2k+0j+JTu69J9D6B8PD9ePYLxebHSoVFZkydP1qRJk6xvRtnZ2ZKkESNGmN8Wgkt2dra6detW3cMAghbPj1efYHpeNA+Np59+Wo8//rj/+/z8fDVv3rzKbyc+Pl6SNHfuXCUkJFT59hF8tm3bphEjRvj3PYDy8fx49QjG50Xz0AgLC1NYWJj1zSg8PFySlJCQoKSkJPPbQ/Ao3fcAysfz49UnmJ4XOb0VAACYITQAAICZSn90cuzYMX311Vf+73fv3q3NmzcrOjpaLVq0qNLBAQCAmq3SofHZZ5+pZ8+e/u9LD/RMSUnR7Nmzq2xgAACg5qt0aPTo0UPOOYuxAACAWoZjNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgJlaExpt27bVxo0b1bZt2+oeCgAA1SIYXwvN/3rrldKgQQP+KiEA4KoWjK+FteYdDQAAEHwIDQAAYIbQAAAAZggNAABghtAAAABmCA0AAGCG0AAAAGYIDQAAYIbQAAAAZggNAABgptb8CnJcfU6cOCFJyszMrOaR4GzhuTuVIGnb9u06ub+kuocDSdu2bavuIeAqRmigxtq+fbskacyYMdU8Epztlpg6ynyooYYPH65NhEZQ8Xq91T0EXIUIDdRYd911l6Qf/1phgwYNqncw8PMUn9K2Y99q1i9byNWrX93Dwf94vV5df/311T0MXIU8zjl3JW8wPz9fUVFRysvLU2Rk5JW8aQAAcIku9fWbg0EBAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgBlCAwAAmCE0AACAGUIDAACYITQAAIAZQgMAAJghNAAAgJl6V/oGnXOSpPz8/Ct90wAA4BKVvm6Xvo5X1BUPjYKCAklS8+bNr/RNAwCAy1RQUKCoqKgKr+9xlU2Ty1RSUqKcnBx5vV55PJ4q225+fr6aN2+u7777TpGRkVW23WBR2+cn1f451vb5SbV/jsyv5qvtc7Scn3NOBQUF8vl8qlOn4kdeXPF3NOrUqaO4uDiz7UdGRtbKO0+p2j4/qfbPsbbPT6r9c2R+NV9tn6PV/CrzTkYpDgYFAABmCA0AAGCm1oRGWFiYUlNTFRYWVt1DMVHb5yfV/jnW9vlJtX+OzK/mq+1zDMb5XfGDQQEAwNWj1ryjAQAAgg+hAQAAzBAaAADADKEBAADMEBoAAMBMrQmNmTNnqlWrVqpfv746duyodevWVet4Jk+erFtvvVVer1dNmjTRXXfdpR07dgSs8+CDD8rj8QR83XbbbQHrFBYW6rHHHlPjxo0VERGhO++8U3v37g1Y5+jRo7r//vsVFRWlqKgo3X///crNzQ1Y59tvv9WgQYMUERGhxo0ba9y4cTp9+vRlzXHixIllxh8TE+O/3DmniRMnyufzKTw8XD169NCXX35ZY+YXHx9fZn4ej0ePPvqopJq5/9auXatBgwbJ5/PJ4/FoyZIlAZcH2z7LyspScnKywsPDFRsbq+eee+6Cf9DpQvMrKirShAkT1L59e0VERMjn8+mBBx5QTk5OwDZ69OhRZr8OHTo06OcnBd99srLzq8gcy3tMejweTZs2zb9OsO7Dirwu1PTHYLlcLbBgwQIXEhLi3njjDbd161Y3fvx4FxER4fbs2VNtY+rbt69LS0tzX3zxhdu8ebMbMGCAa9GihTt27Jh/nZSUFNevXz+3b98+/9fhw4cDtvPwww+72NhYt2LFCpeZmel69uzpOnTo4IqLi/3r9OvXzyUmJrr169e79evXu8TERDdw4ED/5cXFxS4xMdH17NnTZWZmuhUrVjifz+fGjh17WXNMTU117dq1Cxj/wYMH/ZdPmTLFeb1et2jRIpeVleXuvfde16xZM5efn18j5nfw4MGAua1YscJJcqtWrXLO1cz99+9//9s988wzbtGiRU6S+9e//hVweTDts7y8PNe0aVM3dOhQl5WV5RYtWuS8Xq+bPn36Jc0vNzfX/fznP3fvvvuu2759u0tPT3ddunRxHTt2DNhGcnKyGzNmTMB+zc3NDVgnGOfnXHDdJy9lfhWZ49lz27dvn3vrrbecx+NxX3/9tX+dYN2HFXldqOmPwfLUitDo3Lmze/jhhwOWtW3b1j311FPVNKKyDh486CS5NWvW+JelpKS4wYMHn/c6ubm5LiQkxC1YsMC/7Pvvv3d16tRxH374oXPOua1btzpJbsOGDf510tPTnSS3fft259yPD9w6deq477//3r/O/PnzXVhYmMvLy7vkOaWmproOHTqUe1lJSYmLiYlxU6ZM8S87deqUi4qKcq+//nqNmN+5xo8f79q0aeNKSkqcczV//537JB5s+2zmzJkuKirKnTp1yr/O5MmTnc/n8++DysyvPJ9++qmTFPCfkuTkZDd+/PjzXieY5xdM98nLnd/55niuwYMHu169egUsqyn78NzXhdr2GCxV4z86OX36tDZu3Kg+ffoELO/Tp4/Wr19fTaMqKy8vT5IUHR0dsHz16tVq0qSJbrjhBo0ZM0YHDx70X7Zx40YVFRUFzM3n8ykxMdE/t/T0dEVFRalLly7+dW677TZFRUUFrJOYmCifz+dfp2/fviosLNTGjRsva167du2Sz+dTq1atNHToUH3zzTeSpN27d2v//v0BYw8LC1NycrJ/XDVhfqVOnz6tuXPnatSoUQF/dbim77+zBds+S09PV3JycsBvOOzbt69ycnKUnZ1dJXPOy8uTx+NRo0aNApbPmzdPjRs3Vrt27fTkk0+qoKDAf1mwzy9Y7pNXYv8dOHBAy5Yt029/+9syl9WEfXju60JtfQzW+ND44YcfdObMGTVt2jRgedOmTbV///5qGlUg55wef/xx3XHHHUpMTPQv79+/v+bNm6ePP/5Yf/3rX5WRkaFevXqpsLBQkrR//36FhobqmmuuCdje2XPbv3+/mjRpUuY2mzRpErDOuT+fa665RqGhoZf1M+rSpYvefvttLV++XG+88Yb279+v22+/XYcPH/Zv90L7Jdjnd7YlS5YoNzdXDz74oH9ZTd9/5wq2fVbeOqXfV8W8T506paeeekr33XdfwF+5HD58uObPn6/Vq1frj3/8oxYtWqQhQ4b4Lw/m+QXTfdJ6/0nSnDlz5PV6A/aPVDP2YXmvC7X1MXjF/0y8lbP/lyn9uBPPXVZdxo4dqy1btui///1vwPJ7773X/+/ExER16tRJLVu21LJly8o8cM527tzKm+elrFNZ/fv39/+7ffv26tq1q9q0aaM5c+b4D0C7lP0SLPM726xZs9S/f/+A+q/p++98gmmflTeW8123MoqKijR06FCVlJRo5syZAZeNGTPG/+/ExERdf/316tSpkzIzM5WUlHTJY6/IOpc7v2C7T1rtv1JvvfWWhg8frvr16wcsrwn78HyvC+fbZk1+DNb4dzQaN26sunXrlqmrgwcPlimx6vDYY4/p/fff16pVqxQXF3fBdZs1a6aWLVtq165dkqSYmBidPn1aR48eDVjv7LnFxMTowIEDZbZ16NChgHXO/fkcPXpURUVFVfozioiIUPv27bVr1y7/2ScX2i81ZX579uzRypUrNXr06AuuV9P3X7Dts/LWKf0Y4HLmXVRUpHvuuUe7d+/WihUrAt7NKE9SUpJCQkIC9mswz+9s1XmftJ7funXrtGPHjos+LqXg24fne12otY/BCh/NEcQ6d+7sHnnkkYBlCQkJ1XowaElJiXv00Uedz+dzO3furNB1fvjhBxcWFubmzJnjnPv/g37effdd/zo5OTnlHvTzySef+NfZsGFDuQf95OTk+NdZsGBBlR8seerUKRcbG+smTZrkP6hp6tSp/ssLCwvLPagp2OeXmprqYmJiXFFR0QXXq2n7T+c5GDRY9tnMmTNdo0aNXGFhoX+dKVOmXNbBkqdPn3Z33XWXa9euXcAZUheSlZUVcMBeMM/vXNV5n7zc+V1sjikpKWXOGDqfYNmHF3tdqG2PwVK1IjRKT2+dNWuW27p1q/v973/vIiIiXHZ2drWN6ZFHHnFRUVFu9erVAadYnThxwjnnXEFBgXviiSfc+vXr3e7du92qVatc165dXWxsbJnTmOLi4tzKlStdZmam69WrV7mnMd10000uPT3dpaenu/bt25d7GlPv3r1dZmamW7lypYuLi7vs0z+feOIJt3r1avfNN9+4DRs2uIEDBzqv1+v/uU+ZMsVFRUW5xYsXu6ysLDds2LByT9MK1vk559yZM2dcixYt3IQJEwKW19T9V1BQ4DZt2uQ2bdrkJLkXX3zRbdq0yX/WRTDts9zcXNe0aVM3bNgwl5WV5RYvXuwiIyMveGrdheZXVFTk7rzzThcXF+c2b94c8LgsfSL96quv3KRJk1xGRobbvXu3W7ZsmWvbtq275ZZbgn5+wXafvJT5XWyOpfLy8lyDBg3ca6+9Vub6wbwPL/a64FzNfwyWp1aEhnPOvfrqq65ly5YuNDTUJSUlBZxGWh0klfuVlpbmnHPuxIkTrk+fPu66665zISEhrkWLFi4lJcV9++23Ads5efKkGzt2rIuOjnbh4eFu4MCBZdY5fPiwGz58uPN6vc7r9brhw4e7o0ePBqyzZ88eN2DAABceHu6io6Pd2LFjA05ZuhSl53eHhIQ4n8/nhgwZ4r788kv/5SUlJf53A8LCwlz37t1dVlZWjZmfc84tX77cSXI7duwIWF5T99+qVavKvV+mpKQ454Jvn23ZssX97Gc/c2FhYS4mJsZNnDjxgv+TutD8du/efd7HZenvRvn2229d9+7dXXR0tAsNDXVt2rRx48aNK/O7KIJxfsF4n6zs/C42x1L/+Mc/XHh4eJnfjeFccO/Di70uOFfzH4Pl8fxv8gAAAFWuxh8MCgAAghehAQAAzBAaAADADKEBAADMEBoAAMAMoQEAAMwQGgAAwAyhAQAAzBAaAADADKEBAADMEBoAAMDM/wEffGMGB9jVCgAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Estudio con graficos de caja variables 'CreditScore','Age','NumOfProducts','Balance','EstimatedSalary' y'Tenure'\n", "\n", "import matplotlib.pyplot as plt\n", "\n", "\n", "variables = ['CreditScore','Age','NumOfProducts','Balance','EstimatedSalary','Tenure']\n", "\n", "\n", "def show_grafico_caja(df, nombre_columna):\n", " datos = df[[nombre_columna]]\n", " plt.boxplot(datos, vert=False)\n", " plt.title(nombre_columna)\n", " plt.show()\n", " \n", " \n", "for col in variables:\n", " show_grafico_caja(df,col)\n", " \n", "from IPython.display import display, HTML\n", "display(HTML(\"\"))\n", " " ] }, { "cell_type": "code", "execution_count": 88, "id": "3fa1c120", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "850\n", "350\n" ] } ], "source": [ "# El llamado credit score (puntuación de crédito) es un indicador que va desde el número 300 hasta el 850 y que se \n", "# usa para estimar tu nivel de solvencia financiera.\n", "\n", "print(df['CreditScore'].max())\n", "print(df['CreditScore'].min())\n" ] }, { "cell_type": "markdown", "id": "84cb8a3e", "metadata": {}, "source": [ "**Imputamos percentil 97 a los outliers de las variables 'Age' y 'Tenure'.** \n", "\n", "**Consideramos que los outliers en CreditScore y NumOfProducts estan dentro de los rangos dados para estos indicadores.**" ] }, { "cell_type": "code", "execution_count": 9, "id": "b8744b2f", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "def procesar_columna(df, nombre_columna):\n", " Q3 = np.percentile(df[nombre_columna], 75)\n", " Q1 = np.percentile(df[nombre_columna], 25)\n", " RI = Q3 - Q1\n", "\n", " limite_superior = Q3 + 1.5 * RI\n", " limite_inferior = Q1 - 1.5 * RI\n", "\n", " df[nombre_columna] = np.where(df[nombre_columna] > limite_superior, \n", " np.percentile(df[nombre_columna], 97),\n", " df[nombre_columna])\n", "\n", " df[nombre_columna] = np.where(df[nombre_columna] < limite_inferior, \n", " np.percentile(df[nombre_columna], 5),\n", " df[nombre_columna])\n", " return df[nombre_columna]\n", "\n", "\n", "variables_outlier = ['Age','Tenure']\n", "\n", "\n", "for col in variables_outlier:\n", " df[col] = procesar_columna(df, col)\n", "\n", "\n", "# función para mostrar gráficos de caja\n", "def show_grafico_caja(df, nombre_columna):\n", " datos = df[[nombre_columna]]\n", " plt.boxplot(datos, vert=False)\n", " plt.title(nombre_columna)\n", " plt.show()\n", " \n", " \n", "for col in variables_outlier:\n", " show_grafico_caja(df, col)" ] }, { "cell_type": "markdown", "id": "5a7980b2", "metadata": {}, "source": [ "## ESTUDIO VARIABLES CON GRÁFICOS" ] }, { "cell_type": "code", "execution_count": 10, "id": "60cfa9a4", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "fig = plt.figure(figsize=(20,20))\n", "\n", "for i,column in enumerate(df.columns):\n", " ax = fig.add_subplot(4,3,i+1)\n", " ax.bar(df[column].value_counts().index, df[column].value_counts())\n", " ax.set_title(column)\n", " \n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 142, "id": "520d1d8c", "metadata": {}, "outputs": [ { "data": { "image/png": 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Hjnr55ZcVExMjSQoLC1NERIQWLFigXbt2aenSpU5p28MPP6wffvhBGzZs0F//+le1adNG9913nx599FHNmDFDVqtV/v7+iouL07/+9S+NHTtWc+fO1aBBg7RmzRotWLBAr7zyigoLC3XbbbdpwoQJ+t///V/b9ycnJ8vPz0+rV6/W2bNnde+99+rpp5/WokWLbPPcfvvtSk9P11tvvaVNmzZp2bJlMgxDHTp00BNPPKHHH3/cNrLOvHnzlJKSopSUFEmXRoybNWuWPvjgA9sDxleqTZ0r9evXT+vWrbNtDzRebsbVnh4BAACAKcycOVP79u3Tpk2bXN0UXGdc+QcAADCpVatW6d///rfWrVvHg74mQfIPAABgUnv37tXnn3+ukSNHMra/SdDtBwAAADAJhvoEAAAATILkHwAAADAJkn8AAADAJBrNA79ZWVkyDEMeHh6ubgoAXHfl5eVyc3NTSEiIq5tS7zjeAzATZx/vG82Vf8MwVJtnlw3DUFlZWa3qNiRmiJMYGw8zxFnXGGt7zGsM6hK7GfatumD9VI/1Uz3WT/Vqu36cfbxvNFf+L18B6tatm0P1iouLdfDgQfn7+6tZs2bXo2k3BDPESYyNhxnirGuM+/fvvw6tahhqe7yXzLFv1QXrp3qsn+qxfqpX2/Xj7ON9o7nyDwAAAKB6JP8AAACASZD8AwAAACZB8g8AAACYBMk/AAAAYBIk/wAAAIBJkPwDAAAAJkHyDwCoVn5+vqKiopSZmSlJeumllxQSEmL36dSpk5544glbnQcffFB333233TxHjhyRJF24cEHz589XRESEQkJClJCQoJMnT7okNgAwG5J/AMBV7du3T7GxsTp69Kht2ssvv6ysrCzb5/XXX9cvfvELTZ48WZJ07tw5ff/998rIyLCb76677pIkpaamaseOHdqwYYM+//xzeXl5afr06S6JDwDMhuQfAFCl9PR0JSUlafz48VedJz8/X0lJSZo2bZoCAgIkSf/617/k4+Oj2267rco6aWlpGjt2rNq1a6cWLVpo2rRp2r59u3Jzc69LHACA/0PyDwCoUp8+ffTJJ5/ooYceuuo8r776qrp27arBgwfbpu3fv18Wi0WPPfaYwsLCFBMTo23btkmSCgsLdfz4cQUGBtrm9/Pzk7e3tw4dOnT9ggEASJKauLoBAIAbU+vWrastz83N1QcffKC0tDS76W5uburWrZteeOEF3Xrrrdq8ebPGjRun1atXq23btpKkZs2a2dXx8vJSUVFRjdtmGIaKi4trPP9lJSUldv/CHuuneqyf6rF+qlfb9WMYhtzc3JzWDpJ/AECtbNiwwfaw78/Fx8fb/T148GB9+OGH2rJli55++mlJlU9+paWlat68eY2XXV5eroMHD9ay5VJOTk6t65oB66d6rJ/qsX6qV5v14+np6bTlk/xLCv3rt5K+rddlXlgwsl6XBwDO9vHHH+t///d/K01/++231blzZ/Xu3ds2raysTE2bNpW3t7fatGkjq9Vq6/qTl5engoICu65A1+Lh4SF/f3+H21xSUqKcnBx17NhRFovF4fqNHeuneiUlJbplTka9L7cwZWi9L7M22H+qV9v1Y7VandoOkn8AgMPOnDmjI0eO6J577qlU9t///ldpaWlatmyZ2rVrp/fee09ZWVmaNWuWJCkmJkapqanq1q2bfH19NWfOHIWGhqp9+/Y1Xr6bm1ulrkOOsFgsdarf2LF+biwNbVuw/1TP0fXjzC4/Esk/AKAWfvjhB0lSmzZtKpVNmjRJ7u7uevTRR1VYWCh/f38tXbpUHTp0kCQlJiaqoqJCcXFxKioqUlhYmBYtWlSfzQcA0yL5BwBc05Uj8XTr1u2qo/N4enpq6tSpmjp1apXlHh4eSkpKUlJSktPbCQCoHkN9AgAAACZB8g8AAACYhMPJ/65duzR8+HD16NFDkZGRSklJUWlpqSQpOTlZXbt2VUhIiO2zbt06W9309HRFRUWpe/fuiomJUVZWlq3swoULmj9/viIiIhQSEqKEhASdPHnSCSECAAAAkBxM/vPz8/XUU0/pd7/7nfbu3av09HR98cUXWrp0qaRLb3VMSUlRVlaW7RMbGytJyszMVEpKiubNm6c9e/Zo8ODBSkhIsI31nJqaqh07dmjDhg36/PPP5eXlpenTpzs5XAAAAMC8HEr+W7VqpZ07dyomJkZubm4qKCjQ+fPn1apVK5WVlem7775T165dq6yblpamgQMHqmfPnvLw8NDo0aPl6+urjIwMW/nYsWPVrl07tWjRQtOmTdP27duVm5tb9ygBAAAAOD7aT4sWLSRJ9913n06cOKFevXopJiZG2dnZqqio0OLFi7Vv3z61bNlSQ4cOVXx8vNzd3WW1WjV0qP1LKvz9/ZWdna3CwkIdP37c7gUvfn5+8vb21qFDh3THHXfUqG21ed27q15BXZvX0teFGV65TYyNhxnirGuMzn7dOwDAHGo91OfHH3+ss2fPKikpSc8++6zGjBmj0NBQjRw5UgsXLtTBgweVmJgod3d3xcfHq6ioqNLbzLy8vFRcXKyioiJJlV9i4eXlZSuribq+7r0+uaqdZnjlNjE2HmaIsy4xOvN17wAAc6h18u/l5SUvLy9NnDhRw4cP14IFC7Rq1SpbeXBwsEaNGqWMjAzFx8fLYrHYHgy+rLS0VL6+vrYfBVdeASstLVXz5s1r3KbavO790jK/daiOM3Tq1Klel2eGV24TY+NhhjjrGqOzX/cOADAHh5L/L7/8UlOnTtUHH3xgu+JUVlYmDw8P7dixQz/99JNGjBhhm7+srExeXl6SpICAAB0+fNju+6xWq/r27Stvb2+1adNGVqvV1vUnLy9PBQUFdl2BrqWur3uvT65qpxleuU2MjYcZ4qxtjHT5AQDUhkMP/AYFBam0tFQLFixQWVmZfvzxR82fP1/Dhg2Th4eH5s6dq127dskwDGVlZWnVqlW20X6GDRumTZs2affu3SovL9fKlSt1+vRpRUVFSZJiYmKUmpqq3NxcnTt3TnPmzFFoaKjat2/v/KgBAAAAE3Loyn/z5s21fPlyzZkzR5GRkWrZsqUGDRqkxMREeXp6asqUKZo5c6ZOnDghPz8/jRs3TtHR0ZKk3r17Kzk52Vbu7++vZcuWycfHR5KUmJioiooKxcXFqaioSGFhYVq0aJGz4wUAAABMy+E+//7+/lqxYkWVZSNGjLDr9nOl6Oho24+BK3l4eCgpKUlJSUmONgkAAABADTj8hl8AAAAADRPJPwAAAGASJP8AAACASZD8AwAAACZB8g8AAACYBMk/AAAAYBIk/wAAAIBJkPwDAAAAJkHyDwAAAJgEyT8AAABgEiT/AAAAgEmQ/AMAAAAmQfIPAAAAmATJPwAAAGASJP8AAACASZD8AwAAACZB8g8AAACYBMk/AAAAYBIk/wAAAIBJkPwDAAAAJkHyDwCoVn5+vqKiopSZmWmblpycrK5duyokJMT2Wbduna08PT1dUVFR6t69u2JiYpSVlWUru3DhgubPn6+IiAiFhIQoISFBJ0+erNeYAMCsSP4BAFe1b98+xcbG6ujRo3bT9+/fr5SUFGVlZdk+sbGxkqTMzEylpKRo3rx52rNnjwYPHqyEhASVlJRIklJTU7Vjxw5t2LBBn3/+uby8vDR9+vR6jw0AzIjkHwBQpfT0dCUlJWn8+PF208vKyvTdd9+pa9euVdZLS0vTwIED1bNnT3l4eGj06NHy9fVVRkaGrXzs2LFq166dWrRooWnTpmn79u3Kzc297jEBgNmR/AMAqtSnTx998skneuihh+ymZ2dnq6KiQosXL1ZERIQGDBigpUuX6uLFi5Ikq9WqwMBAuzr+/v7Kzs5WYWGhjh8/blfu5+cnb29vHTp06PoHBQAm18TVDQAA3Jhat25d5fTCwkKFhoZq5MiRWrhwoQ4ePKjExES5u7srPj5eRUVFslgsdnW8vLxUXFysoqIiSVKzZs0qlV8uqwnDMFRcXOxgRLJ1Pbr8L+yxfqrnqvVSm33dFdh/qlfb9WMYhtzc3JzWDpJ/AIBDIiMjFRkZafs7ODhYo0aNUkZGhuLj42WxWFRaWmpXp7S0VL6+vrYfBVee/EpLS9W8efMat6G8vFwHDx6sdQw5OTm1rmsGrJ8bS132dVdg/6lebdaPp6en05ZP8g8AcMjWrVt16tQpjRgxwjatrKxMXl5ekqSAgAAdPnzYro7ValXfvn3l7e2tNm3a2HUNysvLU0FBQaWuQtXx8PCQv7+/w20vKSlRTk6OOnbsWOnuBFg/13LpR+u39b7cTp061fsya4P9p3q1XT9Wq9Wp7SD5BwA4xDAMzZ07Vx06dFB4eLi++uorrVq1SlOmTJEkDRs2TImJiXrwwQfVs2dPrVmzRqdPn1ZUVJQkKSYmRqmpqerWrZt8fX01Z84chYaGqn379jVug5ubW6WuQ46wWCx1qt/YsX5uLA1tW7D/VM/R9ePMLj8SyT8AwEFRUVGaMmWKZs6cqRMnTsjPz0/jxo1TdHS0JKl3795KTk62lfv7+2vZsmXy8fGRJCUmJqqiokJxcXEqKipSWFiYFi1a5LqAAMBESP4BANd05Ug8I0aMsOv2c6Xo6Gjbj4EreXh4KCkpSUlJSU5tIwDg2hwe6nPXrl0aPny4evToocjISKWkpNge7Pr66681fPhwhYSEqH///kpLS7OryxsfAQAAANdxKPnPz8/XU089pd/97nfau3ev0tPT9cUXX2jp0qU6e/asnnzySQ0ZMkR79uzR7NmzNXfuXH3zzTeSeOMjAAAA4GoOJf+tWrXSzp07FRMTIzc3NxUUFOj8+fNq1aqVPv74Y/n4+CguLk5NmjRR7969NWjQIK1Zs0YSb3wEAAAAXM3hPv8tWrSQJN133306ceKEevXqpZiYGC1atKjKNzquX79e0qVhioYOHVqpvCZvfLzjjjtq1LbavPTFLC/sMMOLN4ix8TBDnHWN0dkvfQEAmEOtH/j9+OOPdfbsWSUlJenZZ59VmzZtrvpGR0n18sbHur70pT65qp1mePEGMTYeZoizLjE686UvAABzqHXy7+XlJS8vL02cOFHDhw/XyJEjVVhYaDfPz9/YWB9vfKzNS1/M8sIOM7x4gxgbDzPEWdcYnf3SFwCAOTiU/H/55ZeaOnWqPvjgA9sVp7KyMlvSvWPHDrv5rVarAgICJNXPGx/r+tKX+uSqdprhxRvE2HiYIc7axkiXHwBAbTj0wG9QUJBKS0u1YMEClZWV6ccff9T8+fM1bNgwDRgwQKdOndLKlStVXl6u3bt3a9OmTbZ+/sOGDdOmTZu0e/dulZeXa+XKlVW+8TE3N1fnzp2r1RsfAQAAAFydQ1f+mzdvruXLl2vOnDmKjIxUy5YtNWjQICUmJsrT01MrVqzQ7NmztXjxYrVq1UrTp09XeHi4JN74CAAAALiaw33+/f39tWLFiirLunXrprVr1161Lm98BAAAAFzH4Tf8AgAAAGiYSP4BAAAAkyD5BwAAAEyC5B8AAAAwCZJ/AAAAwCRI/gEAAACTIPkHAAAATILkHwAAADAJkn8AAADAJEj+AQAAAJMg+QcAAABMguQfAAAAMAmSfwAAAMAkSP4BAAAAkyD5BwAAAEyC5B8AAAAwCZJ/AAAAwCRI/gEAAACTIPkHAAAATILkHwAAADAJkn8AAADAJEj+AQAAAJMg+QcAAABMguQfAFCt/Px8RUVFKTMz0zZty5Ytio6OVo8ePdS/f3+98cYbunjxoq38wQcf1N13362QkBDb58iRI5KkCxcuaP78+YqIiFBISIgSEhJ08uTJeo8LAMyI5B8AcFX79u1TbGysjh49apv2r3/9S5MmTdLzzz+vvXv3atmyZdq4caNWrlwpSTp37py+//57ZWRkKCsry/a56667JEmpqanasWOHNmzYoM8//1xeXl6aPn26K8IDANMh+QcAVCk9PV1JSUkaP3683fQff/xRI0aMUL9+/eTu7q677rpLUVFR2rNnj6RLPw58fHx02223Vfm9aWlpGjt2rNq1a6cWLVpo2rRp2r59u3Jzc697TABgdk1c3QAAwI2pT58+GjRokJo0aWL3A2DAgAEaMGCA7e/S0lJ9+umnGjRokCRp//79slgseuyxx3T48GHddtttGjdunPr166fCwkIdP35cgYGBtvp+fn7y9vbWoUOHdMcdd9SobYZhqLi42OGYSkpK7P6FPdZP9Vy1Xmqzr7sC+0/1art+DMOQm5ub09pB8g8AqFLr1q2vOc+5c+f03HPPycvLS6NHj5Ykubm5qVu3bnrhhRd06623avPmzRo3bpxWr16ttm3bSpKaNWtm9z1eXl4qKiqqcdvKy8t18ODBmgdzhZycnFrXNQPWz42lLvu6K7D/VK8268fT09Npyyf5BwDUyr///W89++yzuvnmm7Vq1Sq1aNFCkhQfH2833+DBg/Xhhx9qy5YtevrppyVVvvJVWlqq5s2b13jZHh4e8vf3d7jNJSUlysnJUceOHWWxWByu39ixfqp3ab/9tt6X26lTp3pfZm2w/1SvtuvHarU6tR0k/wAAh3322Wd64YUX9Mgjj2jChAlq0uT/Tidvv/22OnfurN69e9umlZWVqWnTpvL29labNm1ktVptXX/y8vJUUFBg1xXoWtzc3CrdPXCExWKpU/3GjvVzY2lo24L9p3qOrh9ndvmReOAXAOCgr776SomJiZoyZYpefPFFu8Rfkv773/9q1qxZys3NVUVFhdavX6+srCw9/PDDkqSYmBilpqYqNzdX586d05w5cxQaGqr27du7IhwAMBWHrvxnZ2dr/vz5OnDggDw8PBQZGanJkyerVatWSk5O1oYNG+Th4WGbf/LkyYqNjZV0adSIJUuWKC8vT3feeadmzJihkJAQSZfGfH711Vf1/vvvq6SkROHh4Zo1a5ZuueUWJ4YKAHCGN998UxUVFZo9e7Zmz55tm96zZ08tX75ckyZNkru7ux599FEVFhbK399fS5cuVYcOHSRJiYmJqqioUFxcnIqKihQWFqZFixa5KBoAMJcaJ/+lpaWKj4/XI488orfeektFRUV68cUXNXXqVL355pvav3+/UlJSbFd2fi4zM1MpKSlatmyZgoODtWbNGiUkJGjbtm2yWCx2Yz63bNlSM2bM0PTp07V06VKnBgsAqJ1Dhw7Z/v/mm29WO6+np6emTp2qqVOnVlnu4eGhpKQkJSUlObWNAIBrq3G3n2PHjulXv/qVEhMT5enpKV9fX8XGxmrPnj0qKyvTd999p65du1ZZNy0tTQMHDlTPnj3l4eGh0aNHy9fXVxkZGbZyxnwGAAAArq8aX/m/8847tXz5crtpW7ZsUZcuXZSdna2KigotXrxY+/btU8uWLTV06FDFx8fL3d1dVqtVQ4cOtavr7++v7Oxsp435LNVu3GezjNlrhrF3ibHxMEOcdY3R2eM+AwDMoVaj/RiGoUWLFmnbtm1avXq1Tp06pdDQUI0cOVILFy7UwYMHlZiYKHd3d8XHx6uoqKjSkEZeXl4qLi62jetc1zGfpbqP+1yfXNVOM4y9S4yNhxnirEuMzhz3GQBgDg4n/+fOndOUKVN04MABrV69WkFBQQoKClJkZKRtnuDgYI0aNUoZGRmKj4+XxWJRaWmp3feUlpbK19fX9qOgrmM+S7Ub99ksY/aaYexdYmw8zBBnXWN09rjPAABzcCj5P3r0qMaOHatbb71V69evV6tWrSRJW7du1alTpzRixAjbvGVlZfLy8pIkBQQE6PDhw3bfZbVa1bdvX6eN+SzVfdzn+uSqdpph7F1ibDzMEGdtY6TLDwCgNmr8wO/Zs2c1atQo9ejRQ2+//bYt8ZcudQOaO3eudu3aJcMwlJWVpVWrVtmG+Rw2bJg2bdqk3bt3q7y8XCtXrtTp06cVFRUliTGfAQAAgPpQ4yv/Gzdu1LFjx/TRRx9p8+bNdmVZWVmaMmWKZs6cqRMnTsjPz0/jxo1TdHS0JKl3795KTk62lfv7+2vZsmXy8fGRxJjPAAAAQH2ocfI/ZswYjRkz5qrlI0aMsOv2c6Xo6Gjbj4ErMeYzAAAAcP3VuNsPAAAAgIaN5B8AAAAwCZJ/AAAAwCRI/gEAAACTIPkHAAAATILkHwAAADAJkn8AAADAJEj+AQAAAJMg+QcAAABMguQfAAAAMAmSfwAAAMAkSP4BAAAAkyD5BwAAAEyC5B8AAAAwCZJ/AAAAwCRI/gEAAACTIPkHAAAATILkHwAAADAJkn8AAADAJEj+AQAAAJMg+QcAAABMguQfAAAAMAmSfwAAAMAkSP4BAAAAkyD5BwBUKz8/X1FRUcrMzLRN+/rrrzV8+HCFhISof//+SktLs6uTnp6uqKgode/eXTExMcrKyrKVXbhwQfPnz1dERIRCQkKUkJCgkydP1ls8AGBmJP8AgKvat2+fYmNjdfToUdu0s2fP6sknn9SQIUO0Z88ezZ49W3PnztU333wjScrMzFRKSormzZunPXv2aPDgwUpISFBJSYkkKTU1VTt27NCGDRv0+eefy8vLS9OnT3dJfABgNiT/AIAqpaenKykpSePHj7eb/vHHH8vHx0dxcXFq0qSJevfurUGDBmnNmjWSpLS0NA0cOFA9e/aUh4eHRo8eLV9fX2VkZNjKx44dq3bt2qlFixaaNm2atm/frtzc3HqPEQDMpomrGwAAuDH16dNHgwYNUpMmTex+ABw+fFiBgYF28/r7+2v9+vWSJKvVqqFDh1Yqz87OVmFhoY4fP25X38/PT97e3jp06JDuuOOOGrXNMAwVFxc7HNPluw+X/4U91k/1XLVearOvuwL7T/Vqu34Mw5Cbm5vT2kHyj0Yl9K/fSvq2Xpd5YcHIel0eUF9at25d5fSioiJZLBa7aV5eXrYEpbryoqIiSVKzZs0qlV8uq4ny8nIdPHiwxvNfKScnp9Z1zYD1c2Opy77uCuw/1avN+vH09HTa8kn+AQAOsVgsKiwstJtWWlqq5s2b28pLS0srlfv6+tp+FFx55evn9WvCw8ND/v7+Dre9pKREOTk56tixY6UfKGD9XMul/bZ+LzBJUqdOnep9mbXB/lO92q4fq9Xq1HY4lPxnZ2dr/vz5OnDggDw8PBQZGanJkyerVatW+vrrr/X73/9eVqtVvr6+SkhI0PDhw21109PTtWTJEuXl5enOO+/UjBkzFBISIunSyA+vvvqq3n//fZWUlCg8PFyzZs3SLbfc4tRgAQB1FxgYqB07dthNs1qtCggIkCQFBATo8OHDlcr79u0rb29vtWnTRlar1db1Jy8vTwUFBZW6ElXHzc2t0t0DR1gsljrVb+xYPzeWhrYt2H+q5+j6cWaXH8mBB35LS0sVHx+vkJAQ/fOf/9SHH36ogoICTZ06lZEfAMBEoqKidOrUKa1cuVLl5eXavXu3Nm3aZOvnP2zYMG3atEm7d+9WeXm5Vq5cqdOnTysqKkqSFBMTo9TUVOXm5urcuXOaM2eOQkND1b59e1eGBQCmUOPk/9ixY/rVr36lxMREeXp6ytfXV7GxsdqzZw8jPwCAifj6+mrFihXavHmzwsLCNH36dE2fPl3h4eGSpN69eys5OVkzZ85UaGio/v73v2vZsmXy8fGRJCUmJuq+++5TXFyc7rvvPp0/f16LFi1yXUAAYCI17vZz5513avny5XbTtmzZoi5dutwQIz9ItRv9wSxP7pvhCXwzbEszbEfJHHHWNUZnj/5wLYcOHbL7u1u3blq7du1V54+OjlZ0dHSVZR4eHkpKSlJSUpJT2wgAuLZaPfBrGIYWLVqkbdu2afXq1Vq1apXLR36Q6j76Q31yVTt5At/5XLEtzbIdzRBnXWJ05ugPAABzcDj5P3funKZMmaIDBw5o9erVCgoKuiFGfpBqN/qDWZ7cN8MT+GbYlmbYjpI54qxrjM4e/QEAYA4OJf9Hjx7V2LFjdeutt2r9+vVq1aqVpBtj5Aep7qM/1CdXtZMn8J3PFevTLNvRDHHWNsb67PIDAGg8avzA79mzZzVq1Cj16NFDb7/9ti3xlxj5AQAAAGgIanzlf+PGjTp27Jg++ugjbd682a4sKytLK1as0OzZs7V48WK1atXqqiM/nDhxQv7+/pVGfqioqFBcXJyKiooUFhbGyA8AADQgN014p96XyRvWAcfVOPkfM2aMxowZc9VyRn4AAABAbfDjsf7UarQfAABw46p7IlX/gyfg6uo7MTZrUmwWNe7zDwAAAKBh48o/AAAATMcVXY2+eLRzvS/zSiT/AACgQXJF8gY0dCT/AABTCf3rt6rPPu30n0ZDwzMjjRt9/gEAAACT4Mo/AADXEV1TANxIuPIPAAAAmATJPwAAAGASJP8AAACASZD8AwAAACZB8g8AAACYBMk/AAAAYBIk/wAAAIBJkPwDAAAAJsFLvoA6csULfApTOtX7MgEAQMPHlX8AAADAJEj+AQAAAJMg+QcAAABMguQfAAAAMAmSfwAAAMAkSP4BAAAAkyD5BwAAAEyC5B8AAAAwCZJ/AAAAwCRI/gEAAACTaOLqBgAAGp4PPvhAycnJdtPKy8slSf/617+UnJysDRs2yMPDw1Y+efJkxcbGSpLS09O1ZMkS5eXl6c4779SMGTMUEhJSfwEAgEmR/AMAHDZ48GANHjzY9veJEyc0dOhQTZw4UZK0f/9+paSk6OGHH65UNzMzUykpKVq2bJmCg4O1Zs0aJSQkaNu2bbJYLPUWAwCYEd1+AAB1YhiGJk6cqPvvv1/R0dEqKyvTd999p65du1Y5f1pamgYOHKiePXvKw8NDo0ePlq+vrzIyMuq55QBgPlz5BwDUyfvvvy+r1aolS5ZIkrKzs1VRUaHFixdr3759atmypYYOHar4+Hi5u7vLarVq6NChdt/h7++v7OzsGi/TMAwVFxc73NaSkhKH6wCAMzl6HDIMQ25ubk5bfq2T//z8fMXGxur3v/+9wsLCJKlOfTwvXLigV199Ve+//75KSkoUHh6uWbNm6ZZbbqlLfACA6+jixYtKTU3V008/rRYtWkiSCgsLFRoaqpEjR2rhwoU6ePCgEhMT5e7urvj4eBUVFVXq3uPl5eVQMl9eXq6DBw86NRYAqA85OTkO1/H09HTa8muV/O/bt0+TJ0/W0aNH7abXpY9namqqduzYoQ0bNqhly5aaMWOGpk+frqVLl9YuMgDAdZeZmamTJ09q2LBhtmmRkZGKjIy0/R0cHKxRo0YpIyND8fHxslgsKi0ttfue0tJS+fr61ni5Hh4e8vf3d7i9l664fetwPQBwlo4dOzr0fJPVanXq8h3u85+enq6kpCSNHz/ebnpd+3impaVp7NixateunVq0aKFp06Zp+/btys3NrUVYAID6sGXLFkVFRalZs2a2aVu3btXatWvt5isrK5OXl5ckKSAgQIcPH7Yrt1qtCggIqPFy3dzc1KxZM4c/PFAMwNUsFotDxy1ndvmRapH89+nTR5988okeeughu+k/7+MZERGhAQMGaOnSpbp48aKkSwf2wMBAuzqX+3gWFhbq+PHjduV+fn7y9vbWoUOHahMXAKAe7Nu3T/fcc4/dNMMwNHfuXO3atUuGYSgrK0urVq2ydQEdNmyYNm3apN27d6u8vFwrV67U6dOnFRUV5YoQAMBUHO7207p16yqn16WPZ1FRkSTZXTm6XH65rCZq8wCYqx7+qs2DanVxOc7G/LBbY47tSo09VjPtr7WN0dkPgNXWDz/8UOnZrKioKE2ZMkUzZ87UiRMn5Ofnp3Hjxik6OlqS1Lt3byUnJ9vK/f39tWzZMvn4+LggAgAwF6eN9lOXPp6XfxRceRIsLS1V8+bNa9yGhvQAmKvaWZuHTHDjMct2NEOcdYnRmQ+A1VZWVlaV00eMGKERI0ZctV50dLTtxwAAoP44LfnfunWrTp06ZXewr0kfz759+8rb21tt2rSx6xqUl5engoKCSl2FqlObB8Bc9fBXp06d6nV5JSUlysnJcfghk4bETA/yNebtKJlnf61LjM5+AAwAYA5OS/4v9/Hs0KGDwsPD9dVXX2nVqlWaMmWKpEt9PBMTE/Xggw+qZ8+eWrNmjV0fz5iYGKWmpqpbt27y9fXVnDlzFBoaqvbt29e4DZcfAGsIXNXOyw+ZoGEzy3Y0Q5y1jfFG6PIDAGh4nJb817WPZ2JioioqKhQXF6eioiKFhYVp0aJFzmoeAAAAYHp1Sv6vHImnLn08PTw8lJSUpKSkpLo0CQAAAMBVODzUJwAAAICGieQfAAAAMAmSfwAAAMAkSP4BAAAAkyD5BwAAAEyC5B8AAAAwCZJ/AAAAwCRI/gEAAACTIPkHAAAATILkHwAAADAJkn8AAADAJEj+AQAAAJMg+QcAAABMguQfAAAAMAmSfwAAAMAkSP4BAAAAkyD5BwAAAEyC5B8AAAAwCZJ/AAAAwCRI/gEAAACTIPkHAAAATKKJqxuAxu2mCe+4ugkAAAD4/3HlHwAAADAJkn8AAADAJEj+AQAAAJMg+QcAAABMguQfAAAAMAmSfwAAAMAkSP4BALWSkZGhzp07KyQkxPaZOHGiJOnrr7/W8OHDFRISov79+ystLc2ubnp6uqKiotS9e3fFxMQoKyvLFSEAgOkwzj8AoFb279+v6OhozZ0712762bNn9eSTT+rZZ59VbGys9uzZo8TERAUFBSk4OFiZmZlKSUnRsmXLFBwcrDVr1ighIUHbtm2TxWJxUTQAYA5c+QcA1Mr+/fvVtWvXStM//vhj+fj4KC4uTk2aNFHv3r01aNAgrVmzRpKUlpamgQMHqmfPnvLw8NDo0aPl6+urjIyM+g4BAEyn1sl/fn6+oqKilJmZaZtWl9u8Fy5c0Pz58xUREaGQkBAlJCTo5MmTtW0eAOA6unjxog4cOKBPP/1U/fr1U9++fTVjxgydPXtWhw8fVmBgoN38/v7+ys7OliRZrdZqy2vCMAwVFxc7/CkpKal78ABQByUlJQ4dtwzDcOrya9XtZ9++fZo8ebKOHj1qm1bX27ypqanasWOHNmzYoJYtW2rGjBmaPn26li5d6rRgAQDOkZ+fr86dO2vAgAFavHixzpw5oxdffFETJ05U69atK3Xf8fLyUnFxsSSpqKio2vKaKC8v18GDB+seCADUs5ycHIfreHp6Om35Dif/6enpWrx4sSZOnKjx48fbpv/8Nq8ku9u8wcHBdrd5JWn06NFat26dMjIyNHToUKWlpSkpKUnt2rWTJE2bNk19+vRRbm6u7rjjDmfECgBwEj8/P1s3HkmyWCyaOHGiHnnkEcXExKi0tNRu/tLSUjVv3tw2b1Xlvr6+NV6+h4eH/P39HW73pSv/3zpcDwCcpWPHjg4932S1Wp26fIeT/z59+mjQoEFq0qSJXfJ/tdu869evl3Sp4UOHDq1Unp2drcLCQh0/ftyuvp+fn7y9vXXo0KEaJ/+XbwM7wlW3gB1tZ11djpNb3o1DY9+OZthf6xqjYRhyc3NzZpMckp2drQ8//FATJkywtaOsrEzu7u4KDg7WX/7yF7v5rVarAgICJEkBAQE6fPhwpfK+ffvWePlubm5q1qxZHaMAgPpnsVgcOn45+1jvcPLfunXrKqdf6zZudeVFRUWSVGlFeHl52cpqoiHdBnZVO2tzqwk3HrNsRzPEWZcYnXkb2FE+Pj5as2aNvL29NWbMGJ08eVKvvPKKHn74YQ0YMEALFizQypUrFRcXp3379mnTpk1asmSJJGnYsGFKTEzUgw8+qJ49e2rNmjU6ffq0oqKiXBYPAJiF04b6tFgsKiwstJtW09u8l38UXHkF7Of1a6I2t4FddQu4U6dO9bq8kpIS5eTkOHyrqe64vX491P92rF+u21/rT11jdPZtYEe1bdtWb731lhYuXKjU1FQ1bdpUAwcO1MSJE9W0aVOtWLFCs2fP1uLFi9WqVStNnz5d4eHhki51C01OTtbMmTN14sQJ+fv7a9myZfLx8XFpTABgBk5L/gMDA7Vjxw67aTW9zevt7a02bdrYjQCRl5engoKCSl2JqtOQbgO7qp2O3mrCjcks29EMcdY2Rld2+bksNDRUa9eurbKsW7duVy2TpOjoaEVHR1+vpgEArsJp4/xHRUXp1KlTWrlypcrLy7V7925t2rTJ1s9/2LBh2rRpk3bv3q3y8nKtXLnS7jZvTEyMUlNTlZubq3PnzmnOnDkKDQ1V+/btndVEAAAAwNScduXf19e3Trd5ExMTVVFRobi4OBUVFSksLEyLFi1yVvMAAAAA06tT8n/o0CG7v+tym9fDw0NJSUlKSkqqS5MAAAAAXIXTuv0AAAAAuLGR/AMAAAAmQfIPAAAAmATJPwAAAGASJP8AAACASZD8AwAAACZB8g8AAACYBMk/AAAAYBIk/wAAAIBJkPwDAAAAJkHyDwAAAJgEyT8AAABgEiT/AAAAgEmQ/AMAAAAmQfIPAAAAmATJPwAAAGASTVzdAACOazljQ70v88KCkfW+TAAA4Fxc+QcAAABMguQfAAAAMAmSfwAAAMAkSP4BAAAAkyD5BwAAAEyC5B8AAAAwCZJ/AAAAwCRI/gEAAACTIPkHAAAATILkHwAAADAJkn8AAADAJEj+AQAAAJMg+QcA1Ep2drbGjBmj0NBQRUZGatKkScrPz5ckJScnq2vXrgoJCbF91q1bZ6ubnp6uqKgode/eXTExMcrKynJVGABgKk5N/jMyMtS5c2e7g/3EiRMlSV9//bWGDx+ukJAQ9e/fX2lpaXZ1OREAQMNRWlqq+Ph4hYSE6J///Kc+/PBDFRQUaOrUqZKk/fv3KyUlRVlZWbZPbGysJCkzM1MpKSmaN2+e9uzZo8GDByshIUElJSWuDAkATMGpyf/+/fsVHR1td7B/5ZVXdPbsWT355JMaMmSI9uzZo9mzZ2vu3Ln65ptvJHEiAICG5tixY/rVr36lxMREeXp6ytfXV7GxsdqzZ4/Kysr03XffqWvXrlXWTUtL08CBA9WzZ095eHho9OjR8vX1VUZGRj1HAQDm4/Tkv6qD/ccffywfHx/FxcWpSZMm6t27twYNGqQ1a9ZI4kQAAA3NnXfeqeXLl+umm26yTduyZYu6dOmi7OxsVVRUaPHixYqIiNCAAQO0dOlSXbx4UZJktVoVGBho933+/v7Kzs6u8fINw1BxcbHDHy4qAXC1kpISh45bhmE4dflNnPVFFy9e1IEDB2SxWLR8+XJduHBB9913n5KSknT48OEqD/Tr16+XdOlEMHTo0ErljpwIAACuYRiGFi1apG3btmn16tU6deqUQkNDNXLkSC1cuFAHDx5UYmKi3N3dFR8fr6KiIlksFrvv8PLyUnFxcY2XWV5eroMHDzo7FAC47nJychyu4+np6bTlOy35z8/PV+fOnTVgwAAtXrxYZ86c0YsvvqiJEyeqdevW1R7onXEikP7vSpAjXHUVyNF21tXlOLnqhdqqz33WDPtrXWM0DENubm7ObFKtnDt3TlOmTNGBAwe0evVqBQUFKSgoSJGRkbZ5goODNWrUKGVkZCg+Pl4Wi0WlpaV231NaWipfX98aL9fDw0P+/v4Ot/fS+v7W4XoA4CwdO3aslPdWx2q1OnX5Tkv+/fz8bN14JMlisWjixIl65JFHFBMTU+WBvnnz5rZ563oikBrWlSBXtbM2vzYByTX7rBn217rE6MwrQbVx9OhRjR07VrfeeqvWr1+vVq1aSZK2bt2qU6dOacSIEbZ5y8rK5OXlJUkKCAjQ4cOH7b7LarWqb9++NV62m5ubmjVr5oQoAKB+WSwWh45fzr7Q47TkPzs7Wx9++KEmTJhga2RZWZnc3d0VHBysv/zlL3bzW61WBQQESHLOiUCq3ZUgV10F6tSpU70ur6SkRDk5OQ7/2qw7rrA1FvW5z7puf60/dY3R2VeCHHX27FmNGjVK4eHhmj17ttzd/+8RMsMwNHfuXHXo0EHh4eH66quvtGrVKk2ZMkWSNGzYMCUmJurBBx9Uz549tWbNGp0+fVpRUVGuCgcATMNpyb+Pj4/WrFkjb29vjRkzRidPntQrr7yihx9+WAMGDNCCBQu0cuVKxcXFad++fdq0aZOWLFkiyXkngoZ0JchV7XT01yZwmSv2GzPsr7WN0dVdfjZu3Khjx47po48+0ubNm+3KsrKyNGXKFM2cOVMnTpyQn5+fxo0bp+joaElS7969lZycbCv39/fXsmXL5OPj44JIAMBcnJb8t23bVm+99ZYWLlyo1NRUNW3aVAMHDtTEiRPVtGlTrVixQrNnz9bixYvVqlUrTZ8+XeHh4ZI4EQBAQzNmzBiNGTPmquUjRoyw6/ZzpejoaNuPAQBA/XFa8i9JoaGhWrt2bZVl3bp1u2qZxIkAAAAAuN6cOs4/AAAAgBsXyT8AAABgEiT/AAAAgEmQ/AMAAAAmQfIPAAAAmATJPwAAAGASTh3qEze20L9+K964CwAAYF5c+QcAAABMguQfAAAAMAmSfwAAAMAkSP4BAAAAkyD5BwAAAEyC5B8AAAAwCZJ/AAAAwCRI/gEAAACTIPkHAAAATILkHwAAADAJkn8AAADAJEj+AQAAAJMg+QcAAABMoomrGwCgYbhpwjv1vszClE71vkwAABozrvwDAAAAJkHyDwAAAJgEyT8AAABgEiT/AAAAgEmQ/AMAAAAmQfIPAAAAmATJPwAAAGASJP8AAACASZD8AwAAACbBG35dxBVvSwUAAIC53VBX/k+fPq1nnnlGvXr1UlhYmGbPnq2KigpXNwsA4GQc7wHANW6o5P/5559Xs2bN9Pnnn2v9+vXatWuXVq5c6epmAQCcjOM9ALjGDdPt5z//+Y+++OILbd++XRaLRXfccYeeeeYZvfLKK4qPj3d18wC4QMsZG+p9mRcWjKz3ZZoNx3sAcJ0bJvk/fPiwfHx81KZNG9u0u+66S8eOHdNPP/2kX/ziF9XWLy8vl2EY+uabbxxarmEYSh/sX6s2A2h8HD2G1JZhGJIuHfvc3Nwcrl9eXl6rejcCVx3vJY75AFzP0eO+s4/3N0zyX1RUJIvFYjft8t/FxcXXPBlcXimOrhw3Nzf9slULh+oAQF25ubnJ09OzTvUbavLvquP95Toc8wE0JM4+3t8wyX+zZs1UUlJiN+3y382bN79m/ZCQkOvSLgCAc3G8BwDXuWEe+A0ICFBBQYFOnTplm3bkyBG1bdtWLVu2dGHLAADOxPEeAFznhkn+O3bsqJ49e2rOnDk6d+6ccnNztWTJEg0bNszVTQMAOBHHewBwHTfj8lNnN4BTp07p5ZdfVmZmptzd3TVkyBAlJSXppptucnXTAABOxPEeAFzjhkr+AQAAAFw/N0y3HwAAAADXF8k/AAAAYBIk/wAAAIBJkPwDAAAAJmHq5P/06dN65pln1KtXL4WFhWn27NmqqKhwdbMqycjIUOfOnRUSEmL7TJw4UZL09ddfa/jw4QoJCVH//v2VlpZmVzc9PV1RUVHq3r27YmJilJWVZSu7cOGC5s+fr4iICIWEhCghIUEnT560ldfH+snPz1dUVJQyMzNt01wZ07WW7cw4k5OT1bVrV7vtum7dugYXZ3Z2tsaMGaPQ0FBFRkZq0qRJys/Pr9FyGkqM14qzsWzLxqyhHO/rojGfK+rCLOeZ2mrM56e6aNTnNsPEHnvsMWPChAlGcXGxcfToUWPgwIHGsmXLXN2sSubNm2dMnjy50vSCggIjNDTUWL16tVFeXm7s3LnTCAkJMb7++mvDMAxj9+7dRkhIiLF3716jrKzM+POf/2yEhYUZxcXFhmEYxuuvv24MGjTIOHbsmFFYWGg8//zzxtixY23ff73Xz969e40HHnjACAwMNHbv3u3ymK61bGfGaRiG8fDDDxsbN26ssk5DibOkpMSIjIw0/vjHPxrnz5838vPzjbFjxxpPPfVUo9qW1cVpGI1jWzZ2DeV4XxeN9VxRF2Y5z9RWYz4/1UVjP7eZNvnPyckxAgMDjePHj9um/f3vfzfuv/9+F7aqanFxccbq1asrTX/33XeN3/zmN3bTXnrpJWPSpEmGYRjGhAkTjOnTp9uV//a3vzXWr19vGIZh9O3b1/jggw9sZXl5eUZQUJBx9OjR675+Nm7caNx///3G3//+d7uDjitjutaynRnn+fPnjS5duhjfffddlfUaSpxHjhwxnnjiCaOiosI2bevWrUaPHj0a1basLs7Gsi0bs4Z0vK+LxniuqAuznGdqq7Gfn+qisZ/bTNvt5/Dhw/Lx8VGbNm1s0+666y4dO3ZMP/30kwtbZu/ixYs6cOCAPv30U/Xr1099+/bVjBkzdPbsWR0+fFiBgYF28/v7+ys7O1uSZLVar1peWFio48eP25X7+fnJ29tbhw4duu7rp0+fPvrkk0/00EMP2U13ZUzXWrYz48zOzlZFRYUWL16siIgIDRgwQEuXLtXFixcbVJx33nmnli9fbvdipi1btqhLly6NaltWF2dj2ZaNWUM53tdFYz1X1IVZzjO11djPT3XR2M9tpk3+i4qKZLFY7KZd/ru4uNgVTapSfn6+OnfurAEDBigjI0Nr165VTk6OJk6cWGUMXl5etvZXV15UVCRJatasWaXyoqKi675+WrdurSZNmlSa7sqYrrXs2rhanIWFhQoNDdXIkSP12Wef6ZVXXtE777yjFStWNMg4JckwDL322mvatm2bpk2b1ui25dXibIzbsrFpKMf7umis54q6MMt5prbMdH6qi8Z4bqu81U2iWbNmKikpsZt2+e/mzZu7oklV8vPz05o1a2x/WywWTZw4UY888ohiYmJUWlpqN39paamt/RaLpcpyX19f285z5Tq4XN8wDJesH4vFosLCwirbdLn8esV0rWU7U2RkpCIjI21/BwcHa9SoUcrIyFB8fHyDi/PcuXOaMmWKDhw4oNWrVysoKKhRbsuq4gwKCmpU27IxaijH+7ow27miLhrjscmZGtv5qS4a67nNtFf+AwICVFBQoFOnTtmmHTlyRG3btlXLli1d2DJ72dnZevXVV2UYhm1aWVmZ3N3dFRwcrMOHD9vNb7VaFRAQIOlSjFcr9/b2Vps2bWS1Wm1leXl5KigoUGBgoMvWT2BgoMtiutaynWnr1q1au3at3bSysjJ5eXlJalhxHj16VEOHDtW5c+e0fv16BQUFSWp82/JqcTambdlYNZTjfV2Y7VxRF43t2ORsHNMuadTnNoeeEGhkfve73xnjx483CgsLbU9UL1682NXNsvPf//7X6N69u7F06VKjvLzc+PHHH41HHnnEmDp1qpGfn2/06tXL+POf/2yUlZUZu3btMkJCQoxdu3YZhmHYngLftWuX7Ynze+65xzhz5oxhGIbx2muvGf/zP/9jHD161PbE+WOPPWZbdn2tn58/aOTKmK61bGfG+fHHHxvBwcHGzp07jYsXLxpffvmlERYWZrz33nsNKs6CggLj/vvvNyZPnmxcuHDBrqwxbcvq4mws27KxawjH+7oww7miLsxynqmtxnh+qovGfm4zdfKfl5dnjBs3zggNDTXCw8ONefPm2T3ZfaPIzMw0YmNjjZCQECM8PNxISUkxSktLDcMwjG+++cZW9utf/9rYsGGDXd333nvPGDBggNG9e3dj2LBhxldffWUrKysrM1555RXj3nvvNXr06GEkJCQYp06dspXX1/q5cogxV8Z0rWU7M86//e1vxm9+8xvj7rvvNn79619XGqWjIcS5YsUKIzAw0Lj77ruN7t27231qspyGEGNN4mwM27KxayjH+7po7OeKujDLeaa2GuP5qS4a+7nNzTB+do8QAAAAQKNl2j7/AAAAgNmQ/AMAAAAmQfIPAAAAmATJPwAAAGASJP8AAACASZD8AwAAACZB8g8AAACYBMk/AAAAYBIk/wAAAIBJkPwDAAAAJkHyDwAAAJgEyT8AAABgEv8fUIA8o44Gzr8AAAAASUVORK5CYII=\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(9,4))\n", "\n", "for i, var in enumerate(['Balance', 'EstimatedSalary']):\n", " ax = fig.add_subplot(1, 2, i+1)\n", " ax.hist(df[var], bins=10)\n", " ax.set_title(var)\n", "\n", "plt.show()\n", "\n" ] }, { "cell_type": "code", "execution_count": 126, "id": "5037e3a0", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CreditScoreGenderBalanceNumOfProductsHasCrCardIsActiveMemberAgeGeographyEstimatedSalaryExitedTenure
count10000.00000010000.00000010000.00000010000.00000010000.0000010000.00000010000.000010000.00000010000.00000010000.00000010000.000000
mean650.5288000.54570076485.8892881.5302000.705500.51510038.57701.749500100319.6311360.1703005.012800
std96.6532990.49793262397.4052020.5816540.455840.4997979.59420.83043355246.1343790.3759152.892174
min350.0000000.0000000.0000001.0000000.000000.00000018.00001.00000011.5800000.0000000.000000
25%584.0000000.0000000.0000001.0000000.000000.00000032.00001.00000055360.9350000.0000003.000000
50%652.0000001.00000097198.5400001.0000001.000001.00000037.00001.000000100608.4350000.0000005.000000
75%718.0000001.000000127644.2400002.0000001.000001.00000043.00003.000000145426.5275000.0000007.000000
max850.0000001.000000250898.0900004.0000001.000001.00000063.00003.000000199992.4800001.00000010.000000
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" ], "text/plain": [ " CreditScore Gender Balance NumOfProducts HasCrCard \\\n", "count 10000.000000 10000.000000 10000.000000 10000.000000 10000.00000 \n", "mean 650.528800 0.545700 76485.889288 1.530200 0.70550 \n", "std 96.653299 0.497932 62397.405202 0.581654 0.45584 \n", "min 350.000000 0.000000 0.000000 1.000000 0.00000 \n", "25% 584.000000 0.000000 0.000000 1.000000 0.00000 \n", "50% 652.000000 1.000000 97198.540000 1.000000 1.00000 \n", "75% 718.000000 1.000000 127644.240000 2.000000 1.00000 \n", "max 850.000000 1.000000 250898.090000 4.000000 1.00000 \n", "\n", " IsActiveMember Age Geography EstimatedSalary \\\n", "count 10000.000000 10000.0000 10000.000000 10000.000000 \n", "mean 0.515100 38.5770 1.749500 100319.631136 \n", "std 0.499797 9.5942 0.830433 55246.134379 \n", "min 0.000000 18.0000 1.000000 11.580000 \n", "25% 0.000000 32.0000 1.000000 55360.935000 \n", "50% 1.000000 37.0000 1.000000 100608.435000 \n", "75% 1.000000 43.0000 3.000000 145426.527500 \n", "max 1.000000 63.0000 3.000000 199992.480000 \n", "\n", " Exited Tenure \n", "count 10000.000000 10000.000000 \n", "mean 0.170300 5.012800 \n", "std 0.375915 2.892174 \n", "min 0.000000 0.000000 \n", "25% 0.000000 3.000000 \n", "50% 0.000000 5.000000 \n", "75% 0.000000 7.000000 \n", "max 1.000000 10.000000 " ] }, "execution_count": 126, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.describe()\n" ] }, { "cell_type": "code", "execution_count": 6, "id": "6ff7166a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " \n", "1 5457\n", "0 4543\n", "Name: Gender, dtype: int64\n", " \n", "1 5084\n", "2 4590\n", "3 266\n", "4 60\n", "Name: NumOfProducts, dtype: int64\n", " \n", "1 7055\n", "0 2945\n", "Name: HasCrCard, dtype: int64\n", " \n", "1 5151\n", "0 4849\n", "Name: IsActiveMember, dtype: int64\n", " \n", "1 5014\n", "3 2509\n", "2 2477\n", "Name: Geography, dtype: int64\n", " \n", "0 8297\n", "1 1703\n", "Name: Exited, dtype: int64\n" ] } ], "source": [ "# Cantidad registros variables categoricas\n", "\n", "variables3 = [\"Gender\", \"NumOfProducts\", \"HasCrCard\", \"IsActiveMember\", \"Geography\",\"Exited\"]\n", "\n", "for i in variables3:\n", " print(\" \")\n", " print(df[i].value_counts())" ] }, { "cell_type": "code", "execution_count": 5, "id": "0d524513", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Porcentaje de valores ceros en la variable 'Balance': 36.17%\n" ] } ], "source": [ "# ¿es normal que un porcentaje tan alto de los clientes tengan el dato de la variable 'Balance' igual a cero?\n", "\n", "porcentaje_ceros = (df['Balance'] == 0).mean() * 100\n", "print(f\"Porcentaje de valores ceros en la variable 'Balance': {porcentaje_ceros}%\")" ] }, { "cell_type": "code", "execution_count": 143, "id": "8099702e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 10000.000000\n", "mean 76485.889288\n", "std 62397.405202\n", "min 0.000000\n", "25% 0.000000\n", "50% 97198.540000\n", "75% 127644.240000\n", "max 250898.090000\n", "Name: Balance, dtype: float64" ] }, "execution_count": 143, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['Balance'].describe()" ] }, { "cell_type": "markdown", "id": "80c78a79", "metadata": {}, "source": [ "## BALANCEO DEL TARGET" ] }, { "cell_type": "code", "execution_count": 11, "id": "f16976c5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 8297\n", "1 1703\n", "Name: Exited, dtype: int64\n", "17.03\n" ] } ], "source": [ "print(df['Exited'].value_counts())\n", "\n", "balanceo = df[\"Exited\"].mean()*100\n", "\n", "print(balanceo)" ] }, { "cell_type": "markdown", "id": "5c011771", "metadata": {}, "source": [ "**En un principio consideramos que es un balance aceptable, pero después en la fase de modelización comprobaremos que es necesario modificar el punto de corte en el modelo, pues no se identifican bien los 1.**" ] }, { "cell_type": "markdown", "id": "c0bb8e42", "metadata": {}, "source": [ "## PROCESO DE SELECCIÓN DE VARIABLES PARA EL MODELO" ] }, { "cell_type": "code", "execution_count": 11, "id": "7151a7a9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CreditScoreGenderBalanceNumOfProductsHasCrCardIsActiveMemberAgeGeographyEstimatedSalaryExitedTenure
061900.0011142.01101348.8812.0
1608083807.8610141.02112542.5801.0
25020159660.8031042.01113931.5718.0
369900.0020039.0193826.6301.0
48500125510.8211143.0279084.1002.0
....................................
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10000 rows × 11 columns

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" ], "text/plain": [ " CreditScore Gender Balance NumOfProducts HasCrCard \\\n", "0 619 0 0.00 1 1 \n", "1 608 0 83807.86 1 0 \n", "2 502 0 159660.80 3 1 \n", "3 699 0 0.00 2 0 \n", "4 850 0 125510.82 1 1 \n", "... ... ... ... ... ... \n", "9995 771 1 0.00 2 1 \n", "9996 516 1 57369.61 1 1 \n", "9997 709 0 0.00 1 0 \n", "9998 772 1 75075.31 2 1 \n", "9999 792 0 130142.79 1 1 \n", "\n", " IsActiveMember Age Geography EstimatedSalary Exited Tenure \n", "0 1 42.0 1 101348.88 1 2.0 \n", "1 1 41.0 2 112542.58 0 1.0 \n", "2 0 42.0 1 113931.57 1 8.0 \n", "3 0 39.0 1 93826.63 0 1.0 \n", "4 1 43.0 2 79084.10 0 2.0 \n", "... ... ... ... ... ... ... \n", "9995 0 39.0 1 96270.64 0 5.0 \n", "9996 1 35.0 1 101699.77 0 10.0 \n", "9997 1 37.0 1 42085.58 1 7.0 \n", "9998 0 42.0 3 92888.52 1 3.0 \n", "9999 0 28.0 1 38190.78 0 4.0 \n", "\n", "[10000 rows x 11 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_limpio = df.copy()\n", "\n", "df_limpio" ] }, { "cell_type": "markdown", "id": "121c2b5f", "metadata": {}, "source": [ "## Coeficiente Correlación Pearson" ] }, { "cell_type": "code", "execution_count": 7, "id": "fea9f262", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CreditScoreGenderBalanceNumOfProductsHasCrCardIsActiveMemberAgeGeographyEstimatedSalaryTenure
CreditScore1.000000-0.0028570.0062680.012238-0.0054580.025651-0.0063680.008267-0.0004050.000842
Gender-0.0028571.0000000.012087-0.0218590.0057660.022544-0.025973-0.016936-0.0035460.014733
Balance0.0062680.0120871.000000-0.304180-0.014858-0.0100840.0283880.3487000.014554-0.012254
NumOfProducts0.012238-0.021859-0.3041801.0000000.0031830.009612-0.031152-0.0061800.0148420.013444
HasCrCard-0.0054580.005766-0.0148580.0031831.000000-0.011866-0.0119990.004036-0.0074480.022583
IsActiveMember0.0256510.022544-0.0100840.009612-0.0118661.0000000.068740-0.012692-0.009386-0.028362
Age-0.006368-0.0259730.028388-0.031152-0.0119990.0687401.0000000.045884-0.006967-0.012041
Geography0.008267-0.0169360.348700-0.0061800.004036-0.0126920.0458841.0000000.0079520.001418
EstimatedSalary-0.000405-0.0035460.0145540.014842-0.007448-0.009386-0.0069670.0079521.0000000.010971
Tenure0.0008420.014733-0.0122540.0134440.022583-0.028362-0.0120410.0014180.0109711.000000
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" ], "text/plain": [ " CreditScore Gender Balance NumOfProducts HasCrCard \\\n", "CreditScore 1.000000 -0.002857 0.006268 0.012238 -0.005458 \n", "Gender -0.002857 1.000000 0.012087 -0.021859 0.005766 \n", "Balance 0.006268 0.012087 1.000000 -0.304180 -0.014858 \n", "NumOfProducts 0.012238 -0.021859 -0.304180 1.000000 0.003183 \n", "HasCrCard -0.005458 0.005766 -0.014858 0.003183 1.000000 \n", "IsActiveMember 0.025651 0.022544 -0.010084 0.009612 -0.011866 \n", "Age -0.006368 -0.025973 0.028388 -0.031152 -0.011999 \n", "Geography 0.008267 -0.016936 0.348700 -0.006180 0.004036 \n", "EstimatedSalary -0.000405 -0.003546 0.014554 0.014842 -0.007448 \n", "Tenure 0.000842 0.014733 -0.012254 0.013444 0.022583 \n", "\n", " IsActiveMember Age Geography EstimatedSalary \\\n", "CreditScore 0.025651 -0.006368 0.008267 -0.000405 \n", "Gender 0.022544 -0.025973 -0.016936 -0.003546 \n", "Balance -0.010084 0.028388 0.348700 0.014554 \n", "NumOfProducts 0.009612 -0.031152 -0.006180 0.014842 \n", "HasCrCard -0.011866 -0.011999 0.004036 -0.007448 \n", "IsActiveMember 1.000000 0.068740 -0.012692 -0.009386 \n", "Age 0.068740 1.000000 0.045884 -0.006967 \n", "Geography -0.012692 0.045884 1.000000 0.007952 \n", "EstimatedSalary -0.009386 -0.006967 0.007952 1.000000 \n", "Tenure -0.028362 -0.012041 0.001418 0.010971 \n", "\n", " Tenure \n", "CreditScore 0.000842 \n", "Gender 0.014733 \n", "Balance -0.012254 \n", "NumOfProducts 0.013444 \n", "HasCrCard 0.022583 \n", "IsActiveMember -0.028362 \n", "Age -0.012041 \n", "Geography 0.001418 \n", "EstimatedSalary 0.010971 \n", "Tenure 1.000000 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# dataframe solo con variables predictivas\n", "\n", "df_limpio_data = df_limpio.drop('Exited',axis=1)\n", "\n", "\n", "df_limpio_data.corr()" ] }, { "cell_type": "code", "execution_count": 8, "id": "901251b6", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "plt.figure(figsize = (10,4))\n", "sns.heatmap(df_limpio_data.corr(),annot=True)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "5f0a9c62", "metadata": {}, "source": [ "De aquí no es posible visualizar ninguna colinealidad entre variables. No descartaríamos ninguna a priori." ] }, { "cell_type": "markdown", "id": "0f392235", "metadata": {}, "source": [ "## VIF" ] }, { "cell_type": "code", "execution_count": 96, "id": "ec734dce", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "10\n" ] } ], "source": [ "\n", "# Dividimos entre conjunto de variables predictoras y conjunto de variables objetivo:\n", "target_labels = ['Exited']\n", "pred_labels = df_limpio.columns.to_list()\n", "pred_labels = [label for label in pred_labels if label not in target_labels]\n", "\n", "# Comprobamos que las dimensiones cuadran con lo que debería ser. Es decir, el total de variables predictoras debe ser 10\n", "print(len(pred_labels))\n", "\n", "# Construimos el conjunto de datos predictor y el conjunto objetivo:\n", "x_pred = df_limpio[pred_labels]\n", "y_target = df_limpio[target_labels]" ] }, { "cell_type": "code", "execution_count": 97, "id": "7c80c2c5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " VIF\n", "CreditScore 1.001065\n", "Gender 1.002975\n", "Balance 1.271603\n", "NumOfProducts 1.118045\n", "HasCrCard 1.001207\n", "IsActiveMember 1.006389\n", "Age 1.008480\n", "Geography 1.155919\n", "EstimatedSalary 1.000941\n", "Tenure 1.002422\n" ] } ], "source": [ "# función para el cálculo del VIF de todas las variables contenidas en el conjunto de datos predictor (numericas):\n", "\n", "# Debo importar LinearRegression para el cálculo de las Ri\n", "from sklearn.linear_model import LinearRegression\n", "\n", "def calculateVIF(var_predictoras_df):\n", " var_pred_labels = list(var_predictoras_df.columns)\n", " num_var_pred = len(var_pred_labels)\n", " \n", " lr_model = LinearRegression()\n", " \n", " result = pd.DataFrame(index=['VIF'], columns=var_pred_labels)\n", " result = result.fillna(0)\n", " \n", " for ite in range(num_var_pred):\n", " x_features = var_pred_labels[:]\n", " y_feature = var_pred_labels[ite]\n", " x_features.remove(y_feature)\n", " \n", " x = var_predictoras_df[x_features]\n", " y = var_predictoras_df[y_feature]\n", " \n", " lr_model.fit(x, y)\n", " \n", " result.loc['VIF', y_feature] = 1 / (1 - lr_model.score(x, y))\n", " \n", " return result\n", "\n", "vif_result = calculateVIF(x_pred.copy(deep=True)).T\n", "print(vif_result)" ] }, { "cell_type": "markdown", "id": "66b74eb0", "metadata": {}, "source": [ "La colinealidad de las variables con la variable objetivo es baja, ninguna supera del ratio 5." ] }, { "cell_type": "markdown", "id": "a68c2067", "metadata": {}, "source": [ "## Chi2" ] }, { "cell_type": "code", "execution_count": 98, "id": "f7748b23", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Exited 0 1\n", "Gender \n", "0 0.788906 0.211094\n", "1 0.863661 0.136339\n", "Exited 0 1\n", "NumOfProducts \n", "1 0.764949 0.235051\n", "2 0.939651 0.060349\n", "3 0.330827 0.669173\n", "4 0.116667 0.883333\n", "Exited 0 1\n", "HasCrCard \n", "0 0.827165 0.172835\n", "1 0.830758 0.169242\n", "Variable dependiente con la target, se rechaza\n", "El P-Valor del Test Chi2 es: 0.6843098852991205\n", "Exited 0 1\n", "IsActiveMember \n", "0 0.776243 0.223757\n", "1 0.880023 0.119977\n", "Exited 0 1\n", "Geography \n", "1 0.838452 0.161548\n", "2 0.968107 0.031893\n", "3 0.675568 0.324432\n" ] } ], "source": [ "# Variables cualitativas\n", "\n", "import scipy.stats as stats\n", "import numpy as np\n", "\n", "variables = [\"Gender\",\"NumOfProducts\",\"HasCrCard\",'IsActiveMember','Geography']\n", "\n", "for i in variables:\n", " CrosstabResult = pd.crosstab(index=df[i],columns=df_limpio['Exited'])\n", " Crosstabpercent = pd.crosstab(index=df[i],columns = df_limpio['Exited'],normalize=\"index\")\n", " print(Crosstabpercent)\n", " ChiSqResult = stats.chi2_contingency(CrosstabResult)\n", " chi2_stat, pvalue, dof, frecuencias = ChiSqResult\n", " prob = 0.95\n", " critical = stats.chi2.ppf(prob, df = dof)\n", "\n", " if np.abs(chi2_stat) < critical:\n", " print(\"Variable dependiente con la target, se rechaza\")\n", " print(\"El P-Valor del Test Chi2 es:\", ChiSqResult[1])" ] }, { "cell_type": "markdown", "id": "c5c8baf9", "metadata": {}, "source": [ "**Has Credit Card** es la única variable que este método arroja como dependiente del target" ] }, { "cell_type": "markdown", "id": "35d9c23f", "metadata": {}, "source": [ "## Chi - squared test" ] }, { "cell_type": "code", "execution_count": 100, "id": "da84f985", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['CreditScore' 'Balance' 'Age' 'EstimatedSalary']\n" ] } ], "source": [ "# Este test contrasta cada variable con la variable objetivo y destaca aquellas variables que son \n", "# relevantes para la clasificación. Solo admite valores positivos. \n", "\n", "# usamos estos dos dataframes creados más arriba\n", "#x_pred = df[pred_labels]\n", "#y_target = df[target_labels]\n", "\n", "from sklearn.feature_selection import SelectKBest\n", "from sklearn.feature_selection import chi2\n", "\n", "selector_var = SelectKBest(score_func=chi2, k=4)\n", "\n", "selector_var.fit_transform(X = x_pred, y = y_target['Exited'])\n", "\n", "print(selector_var.get_feature_names_out())" ] }, { "cell_type": "markdown", "id": "3b87f147", "metadata": {}, "source": [ "Destaca como variables más relevantes a **'CreditScore' 'Balance' 'IsActiveMember' 'Age' 'EstimatedSalary'**\n", "para identificar la variable objetivo Exited" ] }, { "cell_type": "markdown", "id": "9c514c76", "metadata": {}, "source": [ "## Feature importance" ] }, { "cell_type": "code", "execution_count": 101, "id": "831d5705", "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CreditScore: 0.13235947939272832\n", "Gender: 0.017580035023192615\n", "Balance: 0.12999338575798464\n", "NumOfProducts: 0.12385895542048976\n", "HasCrCard: 0.023295121131133963\n", "IsActiveMember: 0.03645884097441787\n", "Age: 0.21080024944667217\n", "Geography: 0.09049410111267207\n", "EstimatedSalary: 0.13169096536541514\n", "Tenure: 0.10346886637529346\n" ] } ], "source": [ "# ExtraTreesClassifier estadisticos asociados a la importancia que tiene cada variable con el target, \n", "# seleccionamos los que tienen el valor más alto\n", "\n", "from sklearn.ensemble import ExtraTreesClassifier\n", "\n", "X = df_limpio_data\n", "y = df_limpio['Exited']\n", "\n", "df_comparar = df_limpio\n", "model = ExtraTreesClassifier()\n", "model.fit(X,y)\n", "\n", "for i,e in zip(X.columns,model.feature_importances_):\n", " print(f\"{i}: {e}\")" ] }, { "cell_type": "markdown", "id": "df3a48d4", "metadata": {}, "source": [ "Según esta métrica las variables a incluir son:\n", "\n", "**Age, Credit Score, Estimated Salary, Balance, Number of Products** --> en ese órden" ] }, { "cell_type": "markdown", "id": "4bdcc120", "metadata": {}, "source": [ "## Varianza" ] }, { "cell_type": "code", "execution_count": 102, "id": "c02cd5cd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Número de características generales 10\n", "Número de características finales 6\n", "Listado de características originales Index(['CreditScore', 'Gender', 'Balance', 'NumOfProducts', 'HasCrCard',\n", " 'IsActiveMember', 'Age', 'Geography', 'EstimatedSalary', 'Tenure'],\n", " dtype='object')\n", "Listado de características finales Index(['CreditScore', 'Balance', 'Age', 'Geography', 'EstimatedSalary',\n", " 'Tenure'],\n", " dtype='object')\n" ] } ], "source": [ "# identificar y seleccionar características que tienen una varianza por encima del umbral especificado.\n", "\n", "from sklearn.feature_selection import VarianceThreshold\n", "\n", "var_th = VarianceThreshold(threshold = 0.5) #Aquí se indica la varianza mínima requerida\n", "x_var = var_th.fit_transform(df_limpio_data)\n", "\n", "print(\"Número de características generales\", df_limpio_data.shape[1])\n", "print(\"Número de características finales\", x_var.shape[1])\n", "print(\"Listado de características originales\",df_limpio_data.columns)\n", "print(\"Listado de características finales\",df_limpio_data.columns[var_th.get_support()])" ] }, { "cell_type": "code", "execution_count": 103, "id": "2fd1a2eb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Variable con baja varianza eliminada:Gender\n", "Variable con baja varianza eliminada:NumOfProducts\n", "Variable con baja varianza eliminada:HasCrCard\n", "Variable con baja varianza eliminada:IsActiveMember\n" ] } ], "source": [ "for i in df_limpio_data.columns:\n", " if i not in df_limpio_data.columns[var_th.get_support()]:\n", " print(f\"Variable con baja varianza eliminada:{i}\")" ] }, { "cell_type": "markdown", "id": "55f82c8c", "metadata": {}, "source": [ "Esta técnica arroja las siguientes variables:\n", "\n", "**'CreditScore', 'Balance', 'Age', 'EstimatedSalary', 'Tenure'**" ] }, { "cell_type": "markdown", "id": "ba96f43f", "metadata": {}, "source": [ "## Modelo de regularización de Lasso" ] }, { "cell_type": "code", "execution_count": 104, "id": "98688b9c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Coeficientes: \n", " [-5.31344945e-05 -0.00000000e+00 7.69013203e-07 -0.00000000e+00\n", " -0.00000000e+00 -0.00000000e+00 5.35003073e-03 0.00000000e+00\n", " 2.33892547e-08 -0.00000000e+00]\n", "Término independiente: -0.06164335074570412\n", "Puntuación del modelo: 0.07261434813876622\n" ] } ], "source": [ "#Importamos las librerías necesarias\n", "from sklearn.linear_model import Lasso\n", "\n", "X = df_limpio_data\n", "y = df_limpio['Exited']\n", "\n", "#Generamos un objeto Lasso\n", "reg = Lasso(alpha = 0.5)\n", "\n", "#Entrenamos el modelo con los datos\n", "reg.fit(X, y)\n", "\n", "#Calculamos la puntuación del modelo\n", "score = reg.score(X, y)\n", "\n", "#Mostramos los resultados\n", "print(\"Coeficientes: \\n\", reg.coef_)\n", "print(\"Término independiente:\", reg.intercept_)\n", "print(\"Puntuación del modelo:\", score)\n" ] }, { "cell_type": "code", "execution_count": 105, "id": "1aa7541a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Variable: CreditScore Coeficiente: -5.313449452111668e-05\n", "Variable: Gender Coeficiente: -0.0\n", "Variable: Balance Coeficiente: 7.690132025032593e-07\n", "Variable: NumOfProducts Coeficiente: -0.0\n", "Variable: HasCrCard Coeficiente: -0.0\n", "Variable: IsActiveMember Coeficiente: -0.0\n", "Variable: Age Coeficiente: 0.0053500307340885785\n", "Variable: Geography Coeficiente: 0.0\n", "Variable: EstimatedSalary Coeficiente: 2.3389254737551692e-08\n", "Variable: Tenure Coeficiente: -0.0\n" ] } ], "source": [ "# Obtener los nombres de las variables\n", "nombres_variables = X.columns\n", "\n", "# Obtener los coeficientes del modelo\n", "coeficientes = reg.coef_\n", "\n", "\n", "coeficientes_variables = zip(nombres_variables, coeficientes)\n", "\n", "for variable, coeficiente in coeficientes_variables:\n", " print(\"Variable:\", variable, \"Coeficiente:\", coeficiente)\n" ] }, { "cell_type": "markdown", "id": "f78e43ee", "metadata": {}, "source": [ "Esta métrica nos indica que deberíamos quedarnos con:\n", "\n", "**Estimated Salary, Balance, Age, Credit Score**" ] }, { "cell_type": "markdown", "id": "63161936", "metadata": {}, "source": [ "## Árbol de clasificación" ] }, { "cell_type": "code", "execution_count": 15, "id": "e5ea0e97", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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VariablePuntuacion
6Age0.177359
8EstimatedSalary0.159335
2Balance0.154374
0CreditScore0.151771
3NumOfProducts0.102442
7Geography0.094462
9Tenure0.077889
5IsActiveMember0.051527
1Gender0.018281
4HasCrCard0.012561
\n", "
" ], "text/plain": [ " Variable Puntuacion\n", "6 Age 0.177359\n", "8 EstimatedSalary 0.159335\n", "2 Balance 0.154374\n", "0 CreditScore 0.151771\n", "3 NumOfProducts 0.102442\n", "7 Geography 0.094462\n", "9 Tenure 0.077889\n", "5 IsActiveMember 0.051527\n", "1 Gender 0.018281\n", "4 HasCrCard 0.012561" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Selección de variables con árbol de clasificación\n", "\n", "from sklearn.tree import DecisionTreeClassifier\n", "\n", "X = df_limpio_data\n", "y = df_limpio['Exited']\n", "\n", "# Entrenar el modelo de árbol de decisión\n", "modelo_arbol = DecisionTreeClassifier()\n", "modelo_arbol.fit(X, y)\n", "\n", "importancia_variables = modelo_arbol.feature_importances_\n", "\n", "df_importancia = pd.DataFrame({'Variable': X.columns, 'Puntuacion': importancia_variables})\n", "df_importancia = df_importancia.sort_values('Puntuacion', ascending=False)\n", "\n", "\n", "df_importancia" ] }, { "cell_type": "markdown", "id": "0f30975a", "metadata": {}, "source": [ "Este método nos indica que deberíamos quedarnos con:\n", "\n", "**Estimated Salary, Balance, Age, Credit Score**" ] }, { "cell_type": "code", "execution_count": 148, "id": "8c0576b3", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Graficación de variables por importancia para predicción variable objetivo:\n", "\n", "import matplotlib.pyplot as plt\n", "\n", "# Crear una figura y un eje\n", "fig, ax = plt.subplots(figsize=(10, 6))\n", "\n", "my_range = range(len(df_importancia))\n", "\n", "# Graficar las barras horizontales afinadas en formato de línea\n", "plt.hlines(y = my_range, xmin=0, xmax=df_importancia['Puntuacion'], color='skyblue')\n", "\n", "# Graficar los puntos en los extremos de las líneas\n", "plt.plot(df_importancia['Puntuacion'], my_range, \"o\")\n", "\n", "# Configurar las etiquetas del eje y\n", "plt.yticks(my_range, df_importancia['Variable'])\n", "\n", "# Configurar el título y las etiquetas de los ejes\n", "plt.title(\"Importancia de las Variables\")\n", "plt.xlabel(\"Importancia\")\n", "plt.ylabel(\"Variable\")\n", "\n", "# Mostrar el gráfico\n", "plt.show()\n", "\n" ] }, { "cell_type": "markdown", "id": "4da6c953", "metadata": {}, "source": [ "### ANÁLISIS CARACTERÍSTICAS REGISTROS VALOR EXITED = 1" ] }, { "cell_type": "code", "execution_count": 52, "id": "bf1600fa", "metadata": {}, "outputs": [], "source": [ "df_exited = df_limpio[df_limpio['Exited'] == 1]" ] }, { "cell_type": "code", "execution_count": 34, "id": "e53f9982", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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AgeCreditScoreBalanceEstimatedSalary
count1703.0000001703.0000001703.0000001703.000000
mean44.277745644.64357094604.126841100864.576506
std9.487627100.97413555900.13993455905.957270
min18.000000350.0000000.00000011.580000
25%37.000000576.00000069404.02000055457.450000
50%44.000000645.000000111578.180000100608.435000
75%51.000000716.500000131862.940000147400.615000
max63.000000850.000000238387.560000199725.390000
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" ], "text/plain": [ " Age CreditScore Balance EstimatedSalary\n", "count 1703.000000 1703.000000 1703.000000 1703.000000\n", "mean 44.277745 644.643570 94604.126841 100864.576506\n", "std 9.487627 100.974135 55900.139934 55905.957270\n", "min 18.000000 350.000000 0.000000 11.580000\n", "25% 37.000000 576.000000 69404.020000 55457.450000\n", "50% 44.000000 645.000000 111578.180000 100608.435000\n", "75% 51.000000 716.500000 131862.940000 147400.615000\n", "max 63.000000 850.000000 238387.560000 199725.390000" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_exited[['Age','CreditScore','Balance','EstimatedSalary']].describe()" ] }, { "cell_type": "markdown", "id": "4f11e5c7", "metadata": {}, "source": [ "### ANÁLISIS CARACTERÍSTICAS REGISTROS VALOR EXITED = 0" ] }, { "cell_type": "code", "execution_count": 33, "id": "99064f50", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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AgeCreditScoreBalanceEstimatedSalary
count8297.0000008297.0000008297.0000008297.000000
mean37.406894651.73677272767.032044100207.778422
std9.18892895.70385763010.90475855112.460324
min18.000000363.0000000.00000090.070000
25%31.000000585.0000000.00000055362.450000
50%37.000000653.00000091562.990000100608.435000
75%41.000000718.000000126442.590000145111.370000
max63.000000850.000000250898.090000199992.480000
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" ], "text/plain": [ " Age CreditScore Balance EstimatedSalary\n", "count 8297.000000 8297.000000 8297.000000 8297.000000\n", "mean 37.406894 651.736772 72767.032044 100207.778422\n", "std 9.188928 95.703857 63010.904758 55112.460324\n", "min 18.000000 363.000000 0.000000 90.070000\n", "25% 31.000000 585.000000 0.000000 55362.450000\n", "50% 37.000000 653.000000 91562.990000 100608.435000\n", "75% 41.000000 718.000000 126442.590000 145111.370000\n", "max 63.000000 850.000000 250898.090000 199992.480000" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_stay= df_limpio[df_limpio['Exited'] == 0]\n", "\n", "df_stay[['Age','CreditScore','Balance','EstimatedSalary']].describe()" ] }, { "cell_type": "markdown", "id": "08bb9143", "metadata": {}, "source": [ "# MODELO REGRESIÓN LOGÍSTICA " ] }, { "cell_type": "code", "execution_count": 8, "id": "9a29e08d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "SCORE: 0.8276008464673702\n", "ACCURACY: 0.8276008464673702\n", "PRECISIÓN: 0.270227631282398\n", "RECALL: 0.025613385465515212\n", "F1: 0.046751923957061736\n", "MATRIX:\n", "[[2719 32]\n", " [ 519 30]]\n", "ROC AUC: 0.6410998049248124\n" ] } ], "source": [ "import warnings\n", "warnings.filterwarnings('ignore')\n", "\n", "\n", "from sklearn.linear_model import LogisticRegression \n", "from sklearn.model_selection import KFold\n", "from sklearn.model_selection import cross_val_score\n", "from sklearn import metrics\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import confusion_matrix\n", "\n", "pred_labels = ['CreditScore', 'Age', 'Balance', 'EstimatedSalary']\n", "\n", "X = df_limpio_data[pred_labels]\n", "y = df_limpio['Exited']\n", "\n", "# Subdividimos el dataset\n", "kfold = KFold(n_splits=3)\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)\n", "\n", "# Entrenamos y testeamos\n", "model_logistic = LogisticRegression()\n", "model_logistic.fit(X_train,y_train)\n", "predicted = model_logistic.predict(X_test)\n", "\n", "\n", "# Hacemos las predicciones con los datos en test\n", "result_logistic_score = cross_val_score(model_logistic, X, y, cv=kfold)\n", "result_logisstic_accuracy = cross_val_score(model_logistic, X, y, cv=kfold, scoring=\"accuracy\") \n", "result_logisstic_precision = cross_val_score(model_logistic, X, y, cv=kfold, scoring=\"precision\")\n", "result_logisstic_recall = cross_val_score(model_logistic, X, y, cv=kfold, scoring=\"recall\")\n", "result_logisstic_f1 = cross_val_score(model_logistic, X, y, cv=kfold, scoring=\"f1\")\n", "result_logisstic_matrix = confusion_matrix(y_test, predicted)\n", "result_logisstic_roc_auc = cross_val_score(model_logistic, X, y, cv=kfold, scoring=\"roc_auc\")\n", "\n", "\n", "print(\"SCORE: \", result_logistic_score.mean())\n", "print(\"ACCURACY: \", result_logisstic_accuracy.mean())\n", "print(\"PRECISIÓN: \", result_logisstic_precision.mean())\n", "print(\"RECALL: \", result_logisstic_recall.mean())\n", "print(\"F1:\", result_logisstic_f1.mean())\n", "print(\"MATRIX:\")\n", "print(result_logisstic_matrix)\n", "print(\"ROC AUC: \", result_logisstic_roc_auc.mean())\n" ] }, { "cell_type": "markdown", "id": "81ae6bcc", "metadata": {}, "source": [ "# MODELO ÁRBOLES DE DECISIÓN" ] }, { "cell_type": "code", "execution_count": 9, "id": "ce524396", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Puntuación: 0.8303030303030303\n", "ACCURACY: 0.8281009864633734\n", "PRECISIÓN: 0.45171957671957674\n", "RECALL: 0.09305996535796125\n", "F1: 0.13998512473467592\n", "MATRIX:\n", "[[2630 121]\n", " [ 439 110]]\n", "ROC AUC: 0.7348372388028709\n" ] } ], "source": [ "from sklearn import tree\n", "from sklearn.metrics import accuracy_score\n", "\n", "#Creamos una instancia del árbol de decisión\n", "model_tree = tree.DecisionTreeClassifier(max_depth = 4, criterion = 'gini', random_state = 42)\n", "\n", "#Entrenamos el árbol de decisión con los datos de entrenamiento \n", "model_tree.fit(X_train,y_train)\n", "predicted_tree = model_tree.predict(X_test)\n", "\n", "#Mostramos la puntuación del modelo\n", "print(\"Puntuación:\", model_tree.score(X_test,y_test))\n", "\n", "# Hacemos las predicciones con los datos en test\n", "result_tree_accuracy = cross_val_score(model_tree, X, y, cv=kfold, scoring=\"accuracy\") \n", "result_tree_precision = cross_val_score(model_tree, X, y, cv=kfold, scoring=\"precision\")\n", "result_tree_recall = cross_val_score(model_tree, X, y, cv=kfold, scoring=\"recall\")\n", "result_tree_f1 = cross_val_score(model_tree, X, y, cv=kfold, scoring=\"f1\")\n", "result_tree_matrix = confusion_matrix(y_test, predicted_tree)\n", "result_tree_roc_auc = cross_val_score(model_tree, X, y, cv=kfold, scoring=\"roc_auc\")\n", "\n", "\n", "print(\"ACCURACY: \", result_tree_accuracy.mean())\n", "print(\"PRECISIÓN: \", result_tree_precision.mean())\n", "print(\"RECALL: \", result_tree_recall.mean())\n", "print(\"F1:\", result_tree_f1.mean())\n", "print(\"MATRIX:\")\n", "print(result_tree_matrix)\n", "print(\"ROC AUC: \", result_tree_roc_auc.mean())\n" ] }, { "cell_type": "markdown", "id": "750ed6c6", "metadata": {}, "source": [ "### Gráfico del árbol de decisión" ] }, { "cell_type": "code", "execution_count": 53, "id": "e942d37f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Profundidad del árbol: 4\n", "Número de nodos terminales: 16\n" ] }, { "data": { "image/png": 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IAEWCzWbTzz//rJCQEFksFn3xxRdatmyZateu7ehoQL4JDg7W8uXL9cUXX8hisSgkJETTpk0TkxkBAMDtjLEBbkeMDQAUdRQRAAq9Y8eOqXfv3rr//vvVoUMHxcTE6LHHHpPRyK8wFH9Go1GPPfaYYmJi1K5dO913333q06ePjh075uhoAAAABY6xAW5njA0AFGW8UwMotLKzs/XBBx8oNDRUu3bt0syZMzV9+nT5+/s7OhpQ4Pz9/TVjxgxFRUVpx44dqlOnjiZOnKjs7GxHRwMAAMh3jA2APzE2AFAUUUQAKJR27NihFi1a6Pnnn9fAgQO1Z88e9e3b19GxAIfr16+foqOj9cgjj+i5555Ty5YttWPHDkfHAgAAyDeMDYBrY2wAoCihiABQqKSmpmrEiBEKCwtTWlqa1q5dq48//lglS5Z0dDSg0ChZsqQ+/vhjrVmzRikpKQoLC9PLL7+s1NRUR0cDAADIM4wNgP/G2ABAUWGwsasNgEJi8eLFGjJkiE6cOKFXX31VL7zwglxdXR0dCyjUMjIy9O677+r1119XpUqV9Pnnn6tz586OjgUAAHBLGBsAN46xAYDCjBkRABzu/Pnzevjhh9W1a1dVrFhRO3fu1MiRIxloANfB1dVVo0aN0s6dO1WxYkV16dJFDz/8sM6fP+/oaAAAADeMsQFw8xgbACjMKCIAOIzNZtNPP/2kkJAQRUVF6auvvtKyZctUq1YtR0cDipzatWtr6dKl+vLLLxUVFaWQkBD99NNPYuIjAAAoChgbAHmHsQGAwogiAoBDHD16VL169dIDDzygjh07KiYmRoMGDZLBYHB0NKDIMhqNevTRRxUTE6OOHTvqgQceUK9evXT06FFHRwMAAPhHjA2AvMfYAEBhQxEBoEBlZWVpwoQJqlOnjvbs2aNZs2bpl19+UYUKFRwdDSg2KlSooF9++UUzZ87U7t27VadOHX3wwQfKyspydDQAAAA7xgZA/mNsAKCwoIgAUGC2bdumFi1aaPjw4Xr00Ue1Z88e9enTx9GxgGKrb9++io6O1qBBg/T888+rRYsW2r59u6NjAQAAMDYAChhjAwCORhEBIN+lpKToxRdfVNOmTZWRkaF169bpww8/lLe3t6OjAcWet7e3PvroI61du1bp6elq0qSJXnrpJaWkpDg6GgAAuA0xNgAch7EBAEcy2NipBkA+WrRokYYMGaKTJ09qzJgxGj58uFxcXBwdC7gtZWZmavz48Ro3bpwCAwP1+eefq0uXLo6OBQAAbhOMDYDCg7EBgILGjAgA+SI+Pl79+/dXt27dVLlyZe3atUsvv/wyAw3AgVxcXPTKK69o586dCgoKUteuXTVgwADFx8c7OhoAACjGGBsAhQ9jAwAFjSICQJ6y2Wz64YcfFBISotmzZ+vrr7/WkiVLVLNmTUdHA/C7WrVqaenSpfr66681a9YshYSE6McffxSTJAEAQF5ibAAUfowNABQUiggAeebIkSPq2bOnHnroIXXp0kUxMTEaOHCgDAaDo6MB+BuDwaCBAwcqJiZGnTt31oMPPqiePXvqyJEjjo4GAACKAcYGQNHB2ABAQaCIAHDLsrKy9N5776lOnTqKiYnR7Nmz9fPPP6t8+fKOjgbgP5QvX17Tpk3T7NmzFR0drbp16+r9999XVlaWo6MBAIAiiLEBUHQxNgCQnygiANySrVu3qnnz5nrppZc0ePBg7dmzR71793Z0LAA3qHfv3oqOjtZjjz2mF154Qc2bN9fWrVsdHQsAABQhjA2A4oGxAYD8QBEB4KYkJyfrhRdeULNmzZSVlaX169frgw8+kJeXl6OjAbhJXl5emjhxotavX6/MzEw1a9ZML7zwglJSUhwdDQAAFGKMDYDih7EBgLxmsLH7DIAbtHDhQg0ZMkRxcXEaM2aMnn/+ebm4uDg6FoA8lJmZqffee09jx45VQECAPv/8c3Xt2tXRsQAAQCHD2AAo/hgbAMgLzIgAcN3OnTunhx56SN27d1fVqlW1a9cujRgxgoEGUAy5uLjo5Zdf1q5du1SlShV169ZN/fv3V3x8vKOjAQCAQoCxAXD7YGwAIC9QRAD4TzabTVOnTlVISIjmzJmjb775RosXL1aNGjUcHQ1APqtZs6aWLFmiKVOmaPbs2QoODtb3338vJlQCAHB7YmwA3L4YGwC4FRQRAP7V4cOH1b17dw0YMEDdunXT3r179fDDD8tgMDg6GoACYjAY9MgjjygmJsb+7afu3bvr8OHDjo4GAAAKEGMDAIwNANwsiggA15SVlaXx48erbt262rdvn+bOnauffvpJ5cqVc3Q0AA5Svnx5/fTTT5ozZ4727dununXr6r333lNWVpajowEAgHzE2ADA3zE2AHCjKCIA5LJlyxY1bdpUI0aM0JAhQ7Rnzx717NnT0bEAFBK9evXSnj17NHjwYL300ktq1qyZtmzZ4uhYAAAgHzA2APBvGBsAuF4UEQDskpOT9fzzz6tZs2ay2Wxav369JkyYIC8vL0dHA1DIeHl56YMPPtD69euVk5OjZs2aafjw4UpOTnZ0NAAAkAcYGwC4XowNAFwPg40dZQBIWrBggYYMGaLTp09r7NixGjZsmFxcXBwdC0ARkJmZqQkTJui1115ThQoV9Nlnn6l79+6OjgUAAG4SYwMAN4uxAYB/wowI4DaUkJBg/99nz57VAw88oB49eqh69eravXu3XnzxRQYaAK6bi4uLXnrpJe3atUvVq1dXjx499OCDD+rcuXP25/z19w4AACg8GBsAyEuMDQD8E4oI4Dbz8ccfq3LlyrLZbPruu+8UEhKi+fPn69tvv9WiRYtUvXp1R0cEUETVqFFDixYt0jfffKN58+YpODhY3333nWw2mypXrqyPP/7Y0REBAMBfMDYAkF8YGwD4O5ZmAm4jcXFxql27tvr166fTp09ryZIleuCBBzRhwgSVK1fO0fEAFCNnz57VsGHD9NNPP6lLly4qV66cZs+erb1798rf39/R8QAAuO0xNgBQUBgbAJAoIoDbyv3336+ZM2cqKytL/v7+mjx5snr06OHoWACKsXnz5umJJ57QmTNn5OTkpPDwcP3444+OjgUAwG2PsQGAgsbYALi9UUQAt4lp06bpvvvukyRVqVJF3t7eMhqNWrdundzd3R2cDkBxlJqaqpYtWyonJ0eJiYk6evSoJOnnn3/Wvffe69hwAADcxhgbAChojA0AODs6AICCsW7dOrm5ual69eqqWbOmAgICVLduXbm6ujo6GoBiytXVVY8//rh2796tU6dOycPDQ4cOHdK6desYbAAA4ECMDQAUNMYGAJgRAQAAAAAAAAAA8g0zInDDYmNjFR8f7+gYKEBlypRRUFCQo2MAKMR4byie+P0PIC/xXlF48fseQEHi/aDw4v0A+YkiAjckNjZWIcG1lZKa5ugoKEAe7iUUs3cfb0YArunKe0OwUlJTHR0FeczD3V0xe/fy+x/ALYuNjVVISLBSUnivKIw8PNwVE8PvewD578r7QYhSUlIcHQXX4OHhoZiYGN4PkC8oInBD4uPjlZKapkn31VfNcp6OjoMCcOBssp7+eafi4+N5IwJwTVfeG1L16aB2qlXBx9FxkEf2n76kJ79eye9/AHkiPj5eKSmp+nzYnapdsayj4+Av9p04p8Ef/MrvewAF4sr7QYq+mzxRwTVrODoO/mLvgYMa8MT/8X6AfEMRgZtSs5yn6lfkwyYAwJ9qVfBR/cplHB0DAFCI1a5YVg2qBzg6BgDAwYJr1lDjBnUdHQNAATI6OgAAAAAAAAAAACi+KCIAAAAAAAAAAEC+oYgAAAAAAAAAAAD5hj0ikKcqvrRAweW9JEnOTga9d2dd1Q0s+Y/P/2XTCe09naQxfYMLKmKeO34hRUN/2aWLKZkKKFVCk+9voJLuLkpMy9ITP+7Q6UtpyrHZNLJ3bXUOvrIx34RFBzVjyym5Ohs18e66ahRUSmsOnteYmXvt1405nagFQ1upbmBJLYo+q7Gz9yrHJj3VoaoeaF4pV447PtuohJRMZeXYFN6ggp7remXTp/BPNyg5LUuSFHc5TeZGAXo9PERDp+3U+iMX5e125dfAD4PCVMGnRH7/uADchvyHfKvgAF9JkouTUe/3b6V6lfz+8fnT1h5QzMmLGntXs4KKmOcW7jyuNyybtS8uQctHRygk8MrrT0zN0OAvVyguIUU5NptGm5uoc72KysrO0dDvVmt37Pkrv+u719W9rWrar3cmIUUtR1s0MqKxBnUKvepeSWmZMr8/X5nZOcrJydGjnUP1UNva9sdzcmzq+c5sBZb21JQhnSRJEe/N09lLqXJzcZIkLRsdnt8/EgDIN1MXbdYLn8/W/m9fko+Xu6Pj5JKWkannJs/Spn2xMhoNmvhkhFqGVtbURZv1oWWVDsdd0PGfR8nL3e2a5z42YYb2HD2jwDI++vbFe+RX0tMBrwIACr+vv5+mZ0eM1snoTSrlU/j2NU1LS9OTw0dqw+ZtMhoNmjzhHbVp0VRffz9N7338mQ4eOaqLR/bIyyv37/m0tDQ9NGSodu3Zq4qB/pr29acq41faAa8CuHkUEchTJUs4a/FzrSVJs3ee1oTFhzRlQCMHp7o+6Vk5yrHZ5P77hzLX67VZ+zSgZZDCG/oranucJi0/old61tKPG44rxN9LPwwK0/4zSRr43VZ1Di6rmLhELdl7TqteaKO9p5M0/Nfdmj+0lVrX8LP/7I7Gp+juLzapbmBJZWXn6LVZe/XrkGbydnNWtw/Xqle98vL1cL0qx7cPN5Z3CWdl59gU/sl6dQ0tp3qBJRX1ZHP7c/p9sl4965az//uN8BB1DS0nAMhPPu6u9g+6Z205qvdnb9e3T3R2cKrrk56ZfeW9wfXG/mSqUb6kvh7cUS/8uO6q49+v2q/Qir766dmu2h+XoAGfLlHnehU1b3ussrJztOI1k84npqnNGIvublFDRqNBkvS6dbPah1x7c1d3VydFDu8pDzdnpaRnqd1Yq3o3qqzSXlfK5R/X7FdQGS9l59iuOu/rIR3tBQkAFGWRq3erYY1Azd4Qowc6N863+yQkparUTRQd781YoeoBfvp0qFmZWdlKScuQJIXVrCjLaw+r76gp/3ju1IVbVKV8aX0/4n59NmudJv62Sq8/0uOmXwMAFGe/zpyjsAb1FDlngR6+/+58u8/FhEvyLXXjRcdbEyapVvVqmjLpfWVmZio5JUWS1CysoebO+F5dTff+47lffT9NVSsHaca3n+ujz6fo3Y8m692xI2/6NQCOQBGBfJOUnqWSJa78n9jR+BQNnb5LKRnZcnUy6IO766nW7zMn/jB/9xl9tPSwMrJyVNHXXZ/cX1+ebs4aOm2nvN1dtC02QRdTMvXenXXVqnppZf7+Af3aQxdkNBg0rEt19alfQdM2ndB3644rPTNbPeqW14vda14rnt3B/2fvrgOqOt8Ajn/vpTtEARMFA1tCwe7E3Ozurrm2dbr93JwxY25zdmJ3tyICdmBgYBBKd937+4OJY1goeEGfzz/quSeec70nnvO873tCY1nt/Yg9V0LYMMiFklbZa2F0OzSW2qXTW/bWcijAzwfu8H2LMgDEJaX982cqhUzSWzgduB5Ku6q2aGspqVjElJQ0NSHRiVibvuiNsP1SEG2q2ABw4WEUZayNsf2nt0LDcgU5dvMZ7atlfiBl8s93nZymIjlNjeI/cQZFJfIwPAG3klIxF0JoTmxiCqYG6YXUe6HRjFp+ivikFHS1tZjXpzZlbM0zzb/34gPm7blMUqqKYgWMWNS/Hsb6OoxcdhJTAx3O33tGeFwic3rWpmZZG1JSVUzyPMeZm0EolArGtapKa2c71p2+zfLj/iSmpNGianG+bfv6B1V3gqNYefIme84/YOPYZpQq9OrefS9TyvrliYlCkf4dPP8urM0MM6YnJKeSplIRn5yKpbF+RhHC61YwJvq6FC9g8tJ1aimVGOqlj7aZlJqGSqVG/U/NISIuiW0+9xjdojLLj/u/dHkhhMjPwqLjuB8SwcJRHZi96XhGISI0MpZ+P28gLjGZhtUcWL7fl4BV35GalsaEZfvwufmQ5JQ0vu3SgFZu5V+7jVNX7rHsgA+3Hz3lxJzh2Y5x47FLnFs4CgAdba2MXhsV7GzeuOw+H3+m9mkGQJcGVWny9RIpRAghxEs8Cwvn3v1A/vrtF36asyCjEBES+pRuA0cQGxdP0wZ1+XPlWoJvXiA1NZWvJv3AWd8LJCcnM+nrMbRt2ey12zh+2os/V6zF/3YAvkf3ZDvGtZu2cvXMYQB0dHQyem1UKv/mUUJ2HzjMT5O/A6Bn58+o3by9FCJEviOFCJGjohNTafzraRJS0giPS2HHiPTW+IVM9dg4yBU9bSU+9yP4ce8tlvXJ/BDIrZQlzStaAzDvcABrzz1iYB279PUmpLB7pDun7oQx59AdatpXZ9XZh0QnpHJ4bC2USgWR8SncDInlsP9Tdo1wQwH0WX4e3/sRuNhlbvGZlKpiz5VgVns/IjlVRbfqRfm6mQOG/7R4/W7LdXzuR2TZv6+alaZZhcw9CMrbmrD7cjC93Iuz50owwdGJAPR0K0avZeepOv0oiSlpbBjkCkBIdBI17V8UA2zN9AmKSspUiNh5KZhfO1XMmN/2X0MmFTbTJzgq6aXff+sFZ7kRHEMf9+JZhsTaeTmYVpWsMx5sAUzddZOf9t2meYVCfNnUAYXiv+ULIYR4f1EJyTSYtp2E5FTCYxPZ/U0rAKzNDNk0thl6OlqcCwhhxlY/VgzL3FPCvbQNLb4vAcDcPZdYe/oWgxpVyFjv3u88OOn/hNm7L1KzbHNWnvAnOiGZo5PapV8b4pK4+SSSQ1cesefbVihQ0GvRYXwCQnG1z3w+T0pJY/eFB6w6cZOk1DR61C7DN1OqYaSnA8A3a704dyc0y/5906YazasWf6vvomedsvRccIhKX60nMSWNTWPTk53mVYqz0+8+lb7aQEJyKksG1gcgNU3F/3ZcYNnQhvx5+Pqrv+P4JNr+spd7IdFM+tyVAibp142Z2/z4olWVly4z5K/jaCsVdK9Thn71Hd8qfiGEyGt2eF3Hw608bo7Fuf3oKeHR8ViaGvK/9UdpVcORoW1qsuKAb8b8Kw/6UbyQBT8NaEV0fCJNvl5CY+cy6OlkTo3Do+NZd/QCqw+fx6FwAXo1caFRNYeMzxt/tYSklNQs8Wyc1BNbyxf34VGxCWhrKZm4fD/n/AOpaGfDTwNbYfKSYZheJigihsIF0tdnbmxAVFxitr4fIYT4VGzZtZd2Hs2pVcOFm3cCCAuPoIClBdN/mUebFk0ZPaQ/f61alzH/0tXrKVG8KHNmTiE6JoZazdrRvFF99PQyn5/DwiNYuWEzK9ZupLR9Sfr36ELThvUyPq/ZrC1JSclZ4tm5fjmFbawz/h0ZFYW2ljZfT56Jl48flSs4MvfHKZgYG2dZ9mWCgkMoYptewLYwNyMyOjpb348QeYEUIkSO+u/QTOO33mDjYFeSU1V8v/U614NiUCrSW+3/1+PIBAauusCz2GTik9OoW/rF+OFN/xk+qHIRUx6GJwBw6k44g+vaZTxYNzfUYfP5J/g9iKTZ3DMAxCWncT8sIUshosW8MygVCuZ3qUz5wllbmP7Y4fWtov5tcutyfLflOqu8H9G4XEEMn4+3ffMZTsXN2DykOlceRzNy3WWOfFEro5Xqv/37+X/A0zjiU9KoXDS9Mv6m+f9t5wg3YhNTGbDqAv7BMZSzebFvOy8FM7HVizHDv29ZhkImeiSkqBi65iKefk/o5FLkrfdbCCHe1n+HZvp23Vk2f9Gc5NQ0vl13luuPwlEoFCSnpmVZ9lF4HP2XHOVZdAJxyamZhidqVjn94X+V4lYEPosF4OTNIIY0rvji2mCkxybvAHzvhtL4h50AxCWlcP9pTJZCRNOZO1EqFCzoV4cKRbP2HvtfN/f3/i6OXnuMc6mCbP2yBVcCwxj+9wmOTWqH372n6Otoc+XnzgRFxPP5nP24l7Zm3ZnbtHa2w8Lo9Q+szAz1ODapHaHRCfRdfITWznaERMYTFZdMrbK2nL4ZlGn+3wfUw8bckIi4JLrMO0A5Wwtqln1zy1whhMhrtp66wtTezVAoFLSs7sgu7+v0auLCOf9AvupUH4AOdSoxbdVBAI5dDMD/YSjrjlwAIC4xhaCwaOxsXpz3g8KjqTZ4Dq3cHNk+rS+FzLM+JDr08+C3ii8lTcW94HAaO5Xm50EeTFt1kLmbTzCxR5O328GXJQNCCCGy8Ny2ix8nf4dCoaB18yZs272f/j274HXOj/FfpPdK69y+NRN+mAXA4WOnuH7zFqvWbwYgLj6Bx0EhlLJ70cDoSXAIZVzq0K5lM/ZvXoN1oYJZtntm//a3ii8lJZWA+w9o3qg+8/83jQk/zGLWvMVMH//VWy2vluuB+AhIIULkmsaOBRm5/jIAf568TzHL9OGWnsYk02qBV5b5J2y/waiGpWhQtiDbLgZx1P9pxmd62ulDTmgpFaS95uSrRk2PGsUyXtT8Kj9/XpEVXoEMXnOR9lVt6eJalMLmL3odZKdHhK2ZPsv7pvfueBKZyNGb6XGv93nMl03T46hUxBQ1EB6fjI2ZHkFRL1oyBUUlYm3y4gHT9osvhmUCssz/JCoRp+KvHovQWF+b2g4FOOL/LKMQ8TgygSdRibjamWfM97wHhqGuFh2qFcb7XoQUIoQQua5J5aKM+PsEAEsOX6d4AWMW969LaHQCLX/anWX+8evPMrplFRpWKMLWc3c5cu1xxmfPX7SsVCpQve7aoIaedcvypUfV18Y2u2dNlh/3Z9Afx2hfvRTdapWmsMWL4fpyokfEutO3+apNehyVihdArYaw2ES2nLtLo4pF0FIqKVrAmFKFTLkdHMX5e884dyeERQeuEhWfjJZSgYGuNt1ql3np+guZGlC+qAVnbwUTFpvE2TshOH/nSWJKGnGJKYxbdZrZPWthY54+JJSFkR6tnEpw4cFTKUQIIfKd0MhYzvk/pPf/1gOQnJqK/0NrejVxQc3Lrwtq1MwZ1pZaFexeud5CZsYsGfsZK/b70n3mGno0duazOpUyvUz6bXtEFDA1xMRQj2Yu6Q2CPNwc+Wn90bfeR1tLU56ERVPA1IjI2ATMjPTfvJAQQnxiQkKf4uXjR5d+QwFISkrmuuNt+vfs8trrweLZP1KnZo2Xfg5gXdCKFYvm8teqdXToNZC+3TvTpX2bTC+TftseEVYFLDE1MaFl04YAtG3VjOmz5r71Pha2teFxUDBWBSyJiIzC3DR7Q8cKkRdIIULkGt8HkZSwTH/QEZOUSskChigUCjadf/LS+WMTUylspo9KpWbrhSeYG+i8dv11Sxdg9dmHuJYwzxiaqbZDAQavvkS/WiUwN9ThSWQi+jpKLI0yv9jZuYQ5ziXMiUpIwdPvMb3+9sPWXJ85nSpiZayXrR4RYXHJWBrqoFAomHc4gB5uxQAobK7PydthVC1mRmB4PLGJqVga6tLEsRBfbb5K35rF8Q+ORVtLgc2/hl7aeTmYRd1eDKNRrZgZN0NiCYpKxERPmyP+T/misX2mGGISU0lKTcPKWI+kVBXHbz3LGNYK0ntDtK5sk2nopefvpUhTqTl44ymuJczfep+FEOJd+QSEUqJgepE0NiEZu0KmKBQKPM8GvHT+mMQUClsYolKp2XLuLuZv6BlQ17Ewq07epLp9oYyhmWqXs2XQH8cY0MARcyM9nkTEoa+jlfEy5+dcShXCpVQhouKT2OgVQPffDlHYwpC5vWtT0NQgR3pEFLY04uSNIKrZFeTBsxhiEpMpYKxPEQsjTvgH0calJBFxSdwMiqS4lQm/D3jR7XvWjgsUMNbLUoQIjU7AQEcLEwNdYhKSOXsrhD71ytGmqCV966ePN3v6ZhBLj95gds9apKapiIpPpoCJPokpqRy79pjhTSu9974JIcSHtv3MNfo1d2Vm/5ZAemvRyoNm8ywqjurlirP9zFUGe7iz7dTVjGXqVbZn2b5zuJUrjpaWkit3g6hUyjbTerW0lLStWZG2NStyPzicFQd9qffFIhpUdeCXwa2Bt+8RoVAoaFjVgXP+gVQvV5xTV+9TtmjWFrWv0sy1LBuPXaJSSVvWH72YUdAQQgjxwuadexncpwezf5gEpF8PHJxq8/RZGO6uzmzasZuRg/riue1Fw6eGdWvzx4o11KzhgpaWFhevXKNqpQqZ1qulpcVnbVryWZuW3L0fyNJV63Bt2IrG9evw26zpwNv3iFAoFDSpXwcvHz/cXZ05cfos5cq8vhHtv7Vs0pA1nlupUrE8qzZszihoCJGfSCFC5Kjn74hQk9574efP00/ivdyKMWDlRbZcCKLOv4Zc+rcxje3ptew8hc31qWBrQkxi1hZG/9ajRlHuhMbS4NfTaCsVfNHEnlaVbBhevySf/X4OlVqNsZ42i7tXwfIV7582M9BhQG07BtS2e2kPiLdx6nYYs/bfBqBJ+UJ0cy0KwNjG9oxaf5mtF56gUCiY9XkFlEoF5Qub0KCsFbVnnURPR4tfO1bMWNft0FhSVWocbV8MqaStpWSyRzk+//0cKjUMq18yo7DSfakvsz+vSJpaTb8VF0hJVaFSQ6tK1hnDWQHsuBTMD+0yj/89fO1lwuOSSVNDzVKWdK9R9J32Xwgh3uT5OyLUqNFWKvmlZ00AetcrR7/fj7DZO4C6/xpy6d++aFWFHgsOUcTCiArFLIlJSHnttnrVKcud4CjqTd2GlpaCLz2q4uFkx4jmlWg3ey9qlRojfR3+GFgfy1cMx2pmqMfARuUZ2Kg85wJC3mmfj1x7zNgVpwiLTeTzOfupXdaGJQPrM65VFUYsO8nmc3dRKGB2j/T3HPVr4MiIZSeoO2UrajV81boqViavb/XaYNp2jk5qS1BEHGNWnEZN+kuq+zVwfOnQUs8lpabRed4BUtJUqFRq2rjY0aiSXAOEEPnPttNX+b7riwcxCoWCZi5l2eF1jW86N6DfLxtZf/QiTZzLYGKYXsju28yVByER1Bm7EDXgULgAq77t9spt2NlYMrlnU77v2ogjF++8U5xTejVl8NzNxCYkUaygOYtHdwBg1UE/flp/hJCIWKoPn8fndaswrU8z/t53DoB+zavTq4kLA2ZvxGnIHGwLmLLi6y7vFIMQQnzMNm3fxZRvvsj4t0KhoGWThmzZtZeJX46m28ARrN64hRaNG2Bqkp4EDOrdjXsPAnFu0BLUakrbl8Rz+ZJXbqOUXXFmTPyGKd9+wcGjJ98pzpmTvqXPsLHExMVRomgR/l4wG4C/V29g2qw5BIc+pYJ7Q7p+3o6fJn/HkuWrARjcpwcDenalx+CRlHOtR2Fbazb8vfidYhBCkxRqGWRMZMP58+dxdnZm/2j3jHcYiI/b5UdRNJvnhZ+fH05OTm9eQAjxyXl+bTg0vjWVS1hpOhyRQy4/eEbjGTvl/C+EyBHPrxXHZg+liv3Li885KTE5BR0tLbS0lGw7fZWtp66w4puuub7d/OhSwBPqj1ss53shxAfx/HrgfWgXTlUqvnmB95SYmIiOjg5aWlps2r4bz2272LBMHuK/zPlLV6nR2EOuByLXSI8IIYQQQgghhBAflcDQSAbM3kiaSo2poT4LR7XXdEhCCCE04P7DR/QYNIo0lQozExP+mv+zpkMS4pMlhQghhBBCCCGEEB+VMkULcmLOcE2HIYQQQsPKlXbA9+geTYchhEAKEeITtsHnEf7BsUxuXe6DbO9xZAIj113mWWwy2koFYxs70LqKDQCbzz/htyN3UQOdXYowrH5JAIatucTlx1FoK5U0KV+Q8S0zv5xu6k5/Nvg+5vrURh9kH4QQ4mO0/sxtbjyOYGrH6h9ke4/DYxn+90mexSSgpVQyrlUV2rikn/fb/7KXiPgk0tLUtHUtyZceVQG4FxrNoD+PERWfTF3Hwvzc3R2FQsHAP45yJzgagLDYRKqWsGLlcLkmCCHE+1h7+Dw3AkOZ3rf5B9umVYfJOBZPf8dbNYcizB/RDoCNxy8xZ/MJUKvp2tCJUe1rA3Di8l0mLNuLSq2mkJkxS7/shIWJ4QeLVwghPgUr1nlyzf8Ws6aO/2DbnPv7XyxbvQG1Wk3DurWZM3MysXFx1PfomDHP/cBHTPp6DKOH9Gfm7N/4a9U64hMSCL554YPFKcS7kEKEEB+ItlLBtDaOVCxiyrPYJJrOPUMjRysSUlTM2n+b/aNrYqqvTe/l52laviAOhYz53Lkwi7pXITVNRec/fTl1J4zaDukv+74ZEktoTJKG90oIIUR2aSuVTO9cnUrFCvA0OoHGP+ygUaWiGOnpsHJ4I0wMdElTqfCYtYdmlYtRqXgBpm325avW1WhauRi9Fx3m4JVHNK1cjD8HNchY79Clx6n3ipd+CyGEyNvMjPQ5OTdzD46w6Dhmrj3MsdlDMTXUo+vMNbSoXpbSRQry7V+7WfFNF0oXKcjkFftZtt+HLz6vp6HohRBC5ISnz8JYvHQll04eQEdHhwatO3HW9zzurs74HdsLgFqtxsGpNm1aNAWgScO69O3emWr1mmkydCHeihQiRJ4Sl5TKgJUXCY5OBGCSR1kalC3Il5uucvlRNEmpKvq4F6NvrRIAlJ98mI7OhTl9J5yiFgYMqWfHzL23eBqTzG9dKuFiZ8EvB24TGJ7Ao4gEQqKTmNCqLC0qWmfa7tOYJL7afI2gqET0tJXM7liR0oWM2XYxiNkH76CrpaSYhQHL+777y3qsTfWxNtUHwMpYD3MDHSLiUwiNTqKMtTHmhjoAuJeyZO/VUEY2NKZhuYIAaGspcbQxJigqMWN9P+y+yY/ty3P05rN3jkkIIfKq2MQU+i85SnBEHACTO1anYYUijFt1mksPwkhKSaNP/XL0b+AIQLmxa+no7sAp/yCKFTBiWNOK/LDFj9DoBBb2q4urfSFm7bhAYFgMj8LiCI6MZ9JnLrSsViLTdkOjE/hy1RmCIuPQ09ZiTq9alLY1Z+u5u/yy6yI62kqKFzBm5fDG77xv1uaGWJunt1otaGqAuZEekXFJGOnpYGKgC0ByqoqUVBUo0pMN37uh/D0kvejQyd2B/ZcCaVq5WMY6k1LSOHbtMT91dXvnuIQQIi+LTUiiz6z1PAlL7wU2vW9zGlUrzZiF27kY8ISklBT6tajBwJY1ALDv+SNdGlTlxOW7FCtkzoi2tZi2+iChEbH8PuYzqpcrzk/rjvAgNIKHoZEER8QwtVdTWrmVz7Td0MhYxi7azpOwaPR0tZk/vB1lihZk88nLzNpwFB1tLYoXsmDt991zfJ/vB0dQtlhBzI0NAKhVoSS7zt5g7GcFUSgUxCYkAxCXmEzZogVzfPtCCJEXxcbG0bnfUB4HhwAwa8r3NG1YjyFffMf5S1dISkpicN+eDOvfCwCbstXo0akDR0+eoUSxInwxbBDjf5hFSOhTli36FXdXZ6bNmsO9Bw8JfPSYoOBQfpz8LW1bZn6wHxL6lGFffs+jJ8Ho6+mxZO5PlCvtwIatO/jh53no6OpgV6woW1b99V77l5qaRmJSeqPTlNRUCllZZfrcy+c81oWsKFkiPRdwrVblvbYnxIckhQiRpxy9+QwLIx3WDXRBrVYTm5QGwPiWZbAw1CU5VUWrBWdpU9WWAka6RMSn0LR8Iaa2caTzHz4sOxPItqE1OHbrGQuO3mN5XwsAboXEsmO4G09jk2iz0Jv6ZTOfyCftuMHYxvZUKWrGxYdRTNruz7qBLsw7HMCKPk6UKmhEdEJKlnhvBMUwct3lLNOtzfRY09/llft58WEUKjUUMTfAUFeLG0ExBEUlYmmky2H/p5SzMc40f0xiKoduPGXoP0M2bb8YRJWiphS1MMjeFyyEEPnE0WuPsTDSY8PopunXg8T0c/CEDi5YGOmRnJpGix930c6lJAVM9AmPS6JZ5WJM71SdjnP2s/ToDXZ81ZJj1x/z277LGYWDW0+i2PVNS55GJ+Dxvz00qFAk03YnbvBmnEcVqpSw4sL9p0zYeI4No5syd88lVg1vRClrM6Ljk7PEe/1ROMP/Pplluo25AetGNX3lfl68/wy1Wk0Ryxfn/ZY/7eLG4wj61i9HpWIFCItJxMJID4VCAUBhC0OCI+Mzrefw1Ue4lCqEmaHeW37DQgiRvxy5cAcLE0M2Te6NWq0mJiH9Ic3kXk2wMDEkOSWVJt/8QYfaFSlgakR4TDzNXcsyo18LOkxezl97vNkzoz9HLgYwd8vJjMLBzYdP2ffjAEIj42j+3Z80rFY603a/W7qHrzrVp6pDEc7ffsT3S/ewaXJvZnseZ+33PbAvXICouMQs8V67H8yQuZuzTLexNMFzUq8s02MSkqj/xWL09bSZ2L0xtSqWpJStJdcfhPAkLJoCpoYc9LuVMXzT7CGt+XzqSnS1tbCzseR/A1q993cshBD5wYGjJ7C0tGD3xpXp14PYWABmTvwGSwtzkpOTqdW8PZ3aeWBVwJKw8Ag8mjXil+kTadGxJ4uWruDozo0cPHqCn+cvzigc3Lh1hxO7NxHy9Bn1Wn1O0waZe5mNmzCN78eNwrlKJXwuXGLc+Gns3riSH+csZMuqvyhtX5Ko6Ogs8V657k+fYWOzTC9sY83O9cszTStoVYCxwwZSqmottLW1GNS7O/YlMzec2rR9Fx3btX6fr1AIjZFChMhTHG1NmLzTn+m7btKiYiFc7NILCVsvBLHu3CPSVGoeRyZy72kcBYx0MdLTotY/QxWVszHGvqARSqWC8rYmPIxIyFhvi4rW6GorKWJugENBIwJC4zJt99SdcG6HZJ4G4Gpnwdebr9G+mi0elW1eGu+hL2plax/D45IZtf4ysztWBMDCUJfpbR3pu/w8ulpKyhc2QUupyJhfrVYzesMV+tQsThFzA+KTU1l66gEbBrtma7tCCJGflC9qwaSN55i6yYeW1Urgap/+4GWLdwBrTt9Ovx6Ex3E3NJoCJvoY6WlTu5wtAOWKWOBgbZp+PShqSWBYbMZ6W1Yrjq62FkUsjXGwMeNOSFSm7Z70D+JWUOZpAK4O1ny5+gwdqtvT2rlEls/LF7Xk6KS22drH8NhERiw7wa+9Ml9H9nzrQWxiCv1+P8KNxxEUNM1adH5elHhuh9992rqWzNb2hRAiPylfwprv/97LpOX78XBzpHq54gB4nrjM6kN+pKnUPHoaRcCTMAqYGmGsr0udSqUAcCxhjUMRK5RKJRXsrAkMjchYb6sajujqaFO0oBllilhx53Hm3sYnL9/l1sOnWeKp4ViCsYu383ndyrR1r5Dl8wp2NlmGWnqdS398ga2lKdcfhND5h1WcnjcCCxNDfurfkh4/rkVHW4uKdjZoaykBWLzjDFun9qZyqcJMWr6fOZtP8GWn+m+9PSGEyK8qli/LlxOn8+3UH2nbsinurs4ArNu8nWVrNpCmUvHw0WNu372HVQFLjI2MqF+7JgAVypWhjEMplEollSo4cv/ho4z1tmvZDF1dXYoVKUzZ0vbcvBOQabtHT3lx49adLPHUrO7MsC+/p0uHtnzWpkWWzyuVL5cxrNKbRERGsefAYe6cP4WBvj4eXXpz8ow3dWqm9/ZTq9Vs272f47s3vd2XJUQeI4UIkafYFzTi4JiaHLrxlIk7/OnoXJhG5Qqy/Ewgu0a4YWqgQ9c/fUlOUwGg+8+NOIBSoUBPW5nx9zSVOuOz/zyvyfJvgP1jamYqAAD8r0N5/B5EcuDGU5rMOcPxr2pjoKOV8Xl2e0Qkparot+ICIxuWwvWfIgukF0qeDxc151AA5gYvDs3pu29iYajDkHrpD5gehCVwLyyeuj+nt7yNSkih4exTHBlXO+tOCSFEPmVvbcbhiW04eOUREzZ408nNnkaVirHsuD97vvHA1FCXzvMOkJya3nNOT/vFuVmpAL1/ztUKBagyXQ8yn+cVZL0gHJrQGi2lMtO0n7u743v3KQcuP6TR9B2cnNoeA90X5+rs9ohISkmjz+IjjGpemer21lk+N9bXoXY5Ww5ffcTwphWJiEtCrVajUCh4EhGPtdmL4kRCcionbjzhlx41s6xHCCE+Fg5FrDjx6zAO+N3ku6V76Fy/Kk2dy/D33nPs/98gzIz0+XzqCpJT0q8LujovztHpeYJWxt9flye85LLAsdlD0dLKfF34dUhrfG4+ZJ/PTep+sYizv43CQE8n4/Ps9oiwtTQF0gsuZYsVIuBJGNUcitDKrXzGcFG/bDyGmbEBz6LiuPXoKZVLpb8XqF2tCvy47sirvjohhPiolLEvhc+R3ew5eIQvxk+jR6cOtGjcgCXLVnFy7xbMTE1p1akXycnpvZj19HQzllUqlejppv9bqVCg+ufZErzsuVHWC8K5w7vQ0tLKNG3hzzM463ue3fsP49qwFZdPHcLAQD/j8+z0iDh8/BT2Je2wtDAHoGWThnj7XcgoRJw+60OxIoUpVkTeCyfyJylEiDwlOCoRc0MdOrkUQUup4ExAODVKWmCkp42JvjYPw+M5dz8CyF6rz31XQxlStyTPYpMJeBpHqYJGXH38osuceylLVp19SJ+axVGp1NwMicXR1oQHYQm42FngXMKcPVeCiYhLwcD8xUUnOz0i1Go1YzZcpraDJR2dMw8F8iw2CStjPUKjk9hxKYgtQ6sDsMIrkGtPYljd3znTNq9Mbpjx7/KTD0sRQgjx0QmOjMfcSJfO7g5oKRWcvhlEjdI2/7xHQYfAZzF43wkBKmVrvXsvPGBokwo8i0kkICQKe2tTrj4My/i8ZhkbVpy4Sb/6jqhUavyfRFC+qCX3n8bgal8Il1IF2XX+PhFxSZkKEdnpEaFWqxm1/CS1y9rSyd0hY3pMQjKJKWkUNDUgKSWN49efMKhReRQKBc6lCma8oHqj1x261XoxdMihK4+o4WCNsb7OyzYnhBAfhaDwaCyMDejSoBpKpZJTV+7hXr4ERga6mBrqERgSwdkbgdle7x5vf0a0rcXTqDhuP3mGQ2ErrtwNyvi8VgU7lu33YUDLGqhUKm4EhlLBzob7wRFUL1cc17LF2Ol1jfCYeIromWUsl50eEZGxCRjo6aCno83jZ1HcfBiKnXV6o6WnkbEUNDcmJCKGLaeusHtGf0wM9XgWHc+DkAhKWFtw/PJdShexesNWhBDi4/AkOARLczN6dv4MLS0tjp3yorabK0ZGRpiamHA/8CGnvX2zvd7tew8wdthAQp+FcevOXcrYl+LilWsZn9d1r8EfK9YytF9PVCoV1/xvUal8Oe7eD8Td1Rk3Fye27tpHWEQERQ1sM5bLTo+IokVs8fLxIzExER0dHY6fPsuAXl0zPvfcvpuO7TyyvW9C5BVSiBB5yo3gGKbtuomWQoG+jpLZnSpR1jp9yKX6s09TysoQlxLm2V5vxSKmdPnTh5DoJKa3dczUqwFgRjtHvt58jZVegaSq1HR0LoKjrQlTd/lzPywetRpaVbKhsLn+K7bwZufuR7L9UjDlbUzYdzUUgN+6VsbR1oTvtl7nZnAsWkoFkzzKYmGYXqEfv+0GxS0NaDHPC4ABdUrQxbXoO8cghBD5xfXHEUz1PIdSqURfV4u5vWpTtrA59tZm1J2yjVLWpriUKpTt9VYsXoBOcw8QHBnPD51rZComAMzs6sZXq8+w4vhN0lQqOrk5UL6oJVM2+XA/NBo10NrJjsIWRu+8b953Qtnme4/yRSzZezH9odnCfnUwM9Slz+IjJKeqUKvVtHKyo1mV9KFHJnVwYdCfxxm/3pu6jrY0qfTiRdU7/O7R1sXuneMRQoj84PqDECYu24eWUomBng7zR7SjXLFCOBS2ouao37AvbIVr2WJvXtF/VCplS4cpKwiOiOGn/i0z9WoA+N8gD75YvINl+31IS1PRuUFVKtjZMHH5Pu4GhaEG2tSsQBErs5dv4C3cfPSUsYu2o1QqUKDgp/4tsTAxBOCrP3bhHxiKUqlget/mGdN/GexBlxmr0VIqsLU0ZfHoz955+0IIkZ9cve7P11Nmpl8PDPT5Y+4sypctTRmHUlSt05TS9iVxc3XK9nqrVqpAi449CQoO5dcZkzL1agCY++MUhn81nj9WrCEtNZUenTpQqXw5vpkygzv3HoBaTYfWLSha2PYVW3gzNxcnWjRugGvDViiVShrUqUXr5k0AUKlUbN+zH68DOzItM23WHP5evYGIyCjsKrsxbsRgRg7q+84xCJGbFGq1Wv3m2YRId/78eZydndk/2p3KRd/9ZvtD+uXAbSyNdOlXK+uY3uLNLj+Kotk8L/z8/HByyv7FXAjx8Xt+bTg0vjWVS+TdFpmzdlyggLEe/RuW13Qo+cLlB89oPGOnnP+FEDni+bXi2OyhVLHPG0NK/LTuCJamhgxq5abpUDTqUsAT6o9bLOd7IcQH8fx64H1oF05VKmo6HCD9YX4BS0uGD+it6VA06vylq9Ro7CHXA5FrlG+eRQghhBBCCCGEEEIIIYQQ4t3I0Ezio/dl09JvnkkIIcRH7+s21TQdghBCiDzk264N3zyTEEKIj96kr7O+TFoIkfOkR4QQQgghhBBCCCGEEEIIIXKNFCKEEEIIIYQQQgghhBBCCJFrZGgmkWdt8HmEf3Ask1uX+6DbLfrNfspZG7NtWA2iElMYue4yz2KT0VYqGNvYgdZVbIhNTKXdIu+MZQIjEviyqQOD6tgx51AAq70fkpCcxvWpjTLmGb3+MmfvRWCil37Yre7vjI2Z/ivjOH7rGT/suUVqmgpjPW1mfVYBR1sTANZ4P2ThsXsogCmty9GkfCEAFh+7x3rfxyiAEQ1K8blz+osAu/zpg8/9SHaPdKOcjUkOf2NCCJF71p+5zY3HEUztWP2Dbtd2yHLKFbZg59ctMdbXofeiw5y5FUydcrb8PeTFUB6bvAOYv/cyajV0runAiGaVABjy13EuPXiGjpaSppWLMaGDCwCTPc9x4PJDdLWUVLUryOyeNdHWenW7kLO3Q/h2nRcKFOhoKfmhS3Wq21sDMGWTD4evPEKlVtPJ3YHRLSpnih2gql0B5vSqDUCnufs5FxDK3m89cCxikfNfmhBCfCBrD5/nRmAo0/s2/6DbteowGcfihdjz4wBMDPQAiE9KpsaI+bSrWTEjntYT/iYiNp60NBXta1fi684NAEhMTuGLxTvxuRmIUqlg7rB2uJcv8crt+d16xJdLdnL1fjCrvu1Gc9eyGZ8dvXiHCcv2oVKrcSxWiL+/6syVu0F88fsOYhOT0dPW5oe+zaldqSRpaSrqj1vMzUdPubvqO4z/iV0IIfKzFes8ueZ/i1lTx3/Q7erb2FOhXBmO7fLExNgYgPj4BCrVasxnbVoya+p4YmJjqe/RMWOZ+4GPmPT1GEYP6U+voWO4esMflUpNrRou/Pa/6SiVr84HNm3fzYxff0OpUGBsZMSSuT9RrrQDSUlJDBr7LZeuXkdPV5clc36iaqUKAHwzZSb7Dh1FpVLRo1MHvhkznLS0NKo38uDGrTuE3rqIsbFR7n5RQryEFCKE+A9TfW0OfVELgLjkVKa1caRiEVOexSbRdO4ZGjlaYfyvedRqNa4zj9O8QnoxoEFZK7pVL0KD2aezrPuHto4ZRYM3KWCky5p+zhQy1ePErWd8t/U624bVIDwumcXH73FgdE2iE1P5fMk5GpS14nZoHFsuBrF/tDsAnZb40KR8QcwMdFg/0JUOi73fsEUhhBDPmRnocnRS24x/D2xYnm61SrPB607GtLCYRH7afp5D49tgaqBLz4WHaF6lOA42ZnRys+f3AfVITVPRcc5+Tvo/oU65wjSoUIRJn7mgVCgY/vdJNnrdoVvtMq+Mo3LxAhye0AYtpZKbTyIZ/Ncxjk1qx6UHz/ANCOX45HYkpaZRZ/JWurg7YG1umCX25zaOaUa7X/bm7BclhBCfEDMjfU7OHZ5p2mzP47iULppp2prvu2FqqE9amooW3/9Fc9eyVC5VmF88j2NfuACLRncgJTWN+MTk127PxtKE+cPbsXBH5rwiMjaB7//ey9YpfbCxNOFpZCwAhvq6/DG2IyVtLbn16Cmdpq/i4pIv0NJScnLucCoPnJ0D34IQQnzazM1M8TuW+Z76xzkLqO5UNePfJsbGGfOo1WocnGrTpkVTABbMmo6pSXoD0W4DhrNj7wHatXp1Yb15o/p81qYlCoWCvQeP8v20n9iy6i/+XLkOYyNDLp7Yz70HDxk89hsObFmL36UrnPU5z4UT+0lKSqZy7cb06tIRW5tC+B3bi4NTrRz+RoR4ezI0k/hgpu+6yXqfRxn/HrPhCgevh3L/WTxtF3nTZO4ZWv3mxa2Q2CzLjl5/mYPXQwGIS0rFdeYxAFLTVEzYfoMW871o/Otp9l4NydGYrU31qVjEFAArYz3MDXSIiE/JNI/vg0gKmehR3NIQgKrFzLA2fXVPh7dVsYgphUzTWytVKmpKcFQiAMduPaNhuYIY62tT2FyfMoWMufgwituhsbiWMEdfRwt9HS0qFDbl6M1n7x2HEELkpKmbfFh3+nbGv0ctP8mByw+5FxpN61l7aDR9Oy1+3MWtoMgsy45clj4vQGxiCs7feQLp14Lx68/SbOZOGkzbzp4LD3I87trlbDHW18k07cGzGMrammNupIdSqcC9jE3GthtWTH8opa2lxLGoBUER8QDUL18ELaUShUJBpeKWBEXGv3a7hnraaP3TQio2MQUFCgAUQFJqGslpaSSlpKGno4XRf+ITQoj8YtLy/aw5fD7j38Pnb2Gfz03uBYXT4ru/qPfFIpp8vYSbD0OzLDtsXvq8ALEJSRkP21PT0vj2r900+up36oxZyO6z13M87oAnYdx+9IwmzpkLyqaG6blAcmoaySlpGefujccuMbxtTQB0tLUwMzZ47fqLWJlRqZQtSkXmtN3zxGU+q10JG8v0B1kFzdNb5NoXLkBJW0sAShexIi4xmbQ01XvupRBCfBjfTv2R5Ws3Zvy7/8gv2X3gMAH3HlDfoyOuDVtRq3k7bty6k2XZfiPGsfvAYQBiY+MyHranpqYy9vspuDdti3P9Fmzfsz/H474dcI+btwNo3rj+Sz/38jmPdSErSpYoBpBRhEhNTSUhMQmFQvHa9RsbG2XMExMbm/F3/9t3aFgnfT9LlihGSOhTgkNCUaAgMSmJ5ORkEpOS0NfTw9jYMCd2VYj3Jj0ixAfTuooNPx+4TRfXoqSkqTgTEM6szyqQqlKzcZAretpKfO5H8OPeWyzr4/RW61xz7hHFLAz4oa0jMYmptPzNi4blCqKn/eJmPTwumU5LfF66/PNeDW/j4sMoVGooYp45YdhxKZg2VWzeah1Td93kp323aV6hEF82dXjjBee5DT6PqVfGCoCQqCRs/1XosDXTJzg6ibI2Jsw+GEBUQnqh5FRAGCUKvD65EUKID62Nix2zdlyga63SpKSqOHMzmF961CQ1Tc2msc3Q09HiXEAIM7b6sWJYozevEFh96hbFCpgwo4sbMQnJNP9xF40qFkVPRytjnvDYRD779eWJx8t6D7yNkoVMufE4gqCIOCyN9Tl85RHl/jPkUUxCMgcvP2J404qZpqemqdjsfZf/dXN/43aOX3/C9+vP8jQ6gbWjmgBQuYQVtcraUvmrDaSkqZjyuWtGoSQmMYXGP+xAX0eL79s5U7Ps212jhBBCU9rVqsCP647QvZETKalpnLp6jzlD25CqUrFtWh/0dLTx9g9k+upDrP6u21utc+VBP4oXsuCnAa2Ijk+kyddLaOxcBj2dFylweHQ8bScte+ny/+358DITl+9jWu9mnPMPzPJZ02/+4MaDEPq1qE6lUrZExSagraVk4vL9nPMPpKKdDT8NbJUxxFN23H0SRppKRYvv/iI5NZWvOzegmUvZTPPsOnudKvaF0XrN8H9CCJGXfNamJdP+N4c+3TqRkpLCiTNnWTx7JqmpaezfvBo9PT3OnPNj4oxZbFrxx1utc+nq9ZQoXpQ5M6cQHRNDrWbtaN6oPnp6L869YeERNO3w8mvLf3s+vMw3U2bw05Tv8Trn99LPN23fRcd2rTNN69x3KMdOe9G0QV1aN2/yxm2s2rCZmbN/IyExkUPb1gNQqXw5tu89QHuP5lzzv8Wdew94HByCc5VK1K/tTvFKNUhJSeV/U7/PGEJKCE2TQoT4YKoWM+P+s3iiElLwfRBJjZIW6GoriY9P4fut17keFINSAcnZaLVz4lYYN0Ni8fR9DEB8chrBUYmUKPCi2mtppJutgsPLhMclM2r9ZWZ3zPwgSa1Ws+dqCDuG13jjOr5vWYZCJnokpKgYuuYinn5P6ORS5I3L+T2IZLX3o4xtqIGXlS/KWhvTv1ZxPl/ig6m+NlWLmqGlfLtChxBCfCjV7ApyLzSGqPgkfAOeUqO0NbraWsQnJfHturNcfxSOQqEgOTXtrdd5/PoTbj6JzBg2KT4plaDIeOwKvngnjqWx/jsXHF7FwkiPHzrXoPeiI+hoK6lQ1BLtf5131Wo1I5efpG/9chSxzHzzP2WTD672hXAuVfCN26lXvjCnp3XA924o/9t+Ac+xzbgbGs290GguzepMYkoa7X7ZS73yRbAraILfjx2xMTfkxuMIuv92kOOT22FioJuj+y6EEDnJqXRR7gWHExWbwLmbD3EvXwJdHW3iYxP4csk2rj0IQalQkJyS+tbrPHYxAP+Hoaw7cgGAuMQUgsKisbOxzJjH0tTwrQoOL7PH+wb2hQvgUMTqpYWIA/8bRExCEn3+t57rD0IoZG7MveBwGjuV5udBHkxbdZC5m08wscebH0D9V0paGtcfhLB1am/CYxJo/u2f1ChXHPN/eljcCwpnysoDeE7q9U77JoQQmuBarQoB9x4QGRXFWZ/z1HKrjq6uLnHxUYz6ZiJXrvujUCpJTnr9sHb/dvjYKa7fvMWq9ZsBiItP4HFQCKXsimfMU8DS4q0KDi+zY+8BStuXoox9qZcWItRqNdt27+f47k2Zpm9Ytpjk5GT6jRjHkROnaVy/zmu307PzZ/Ts/Blbd+1jxuz5LFv4K/26d+a6/21cG7aiXGl7nKtUQltLizt37xNw7z4PLnuTkJhIo3ZdaFyvTqZ9FkJTpBAhPqim5Qux/1ooXnfDM3oR/HnyPsUsDVjYrTJPY5JptcAry3LaWkpU6vS/J6W+KFSogZ8/r4B7Kcssyzz3vj0iklJV9FtxgZENS+Fql7mlq/e9CIqY62fpJfEyz4drMtTVokO1wnjfi3hjISIwPJ5R6y/zd+9qWBqlP0SyMdPj4sOojHmCohKx/mcIp17uxenlnn5xGed5lZJW0v1OCJH3NKtSjH2XHnLmZjBtXUoCsOTwdYoXMGZx/7qERifQ8qfdWZbT1lKg+udi8O9ChRo1s3vWxL3Mq1v+50aPCICW1UrQslr6i0Z/3X0RM8MXraumbvbFwkiPYf/pDbH06A1uB0exZkTjbG3LpVQhnkTE8SwmkT0XHuBqXwgDXW0MdLVxK23NpQfPsCtogo15+rnfsYgFZWzNCQiJpqqd1TvvoxBCfAgtXMux18efU1fv065WJQAW7zxDCWsL/vyiI6GRsTT5OmsL2PQ8IT0/SE7JfG2YM6wttSrYvXKb79MjwufWQ7acvML209eIS0wmJS0NE0O9jBdTA5gY6FGnckkOnb/NyHa1MDHUy+i54OHmyE/rj752G69SuIApRazM0NfVoXABHcoVL8TdoDCcShclIiae7j+uYc7QtpSyLfBO6xdCCE3xaN6YnfsOcfz0WTq2bQXA/CVLsStejJW/zyMk9Cm1W7TPspy2tjYqVfq1ICn5RaFCjZrFs3+kTs1XNx59nx4R3r4X2Lh1J5t37CY2Lp6UlFRMTYyZ8OVoAE6f9aFYkcIUK1I4y7K6urq0adGU7XsOvLEQ8Vx7j+YM+/J7AHR0dJj309SMzyq6N8SueFH+WrkOd1dnDAz0MTDQp3YNV/wuXpZChMgTpBAhPqjWVWz4ef8d7j6L438dKgAQk5RKyQKGKBQKNp1/8tLlipjrc+1JNM0qFGLPv94DUbd0AVZ5PaS6nQVaSgVXH0dnvNPhuffpEaFWqxmz4TK1HSzp6Jy1aLDzcjBtq9i+1bpCohOxNtUnTaXm4I2nuJYwB2DPlRAuPIxkfMvM3amjElLos+w8M9uXp6zNi1a99cpY8evBO3zdtDTRiancDImlWjEzAJ7FJmFlrMed0FguBEbyvw7l32m/hRAiN7VxLsmsnRcICIni5x7pQxPFJiRjV8gUhUKB59mAly5X1NKYq4/CaV61OLv/9R6Iuo6FWXHiJtUdCqGlVHLlYRiVimV++JIbPSIAnkYnUNDUgJCoeLb73GPbVy0BWH7cn6sPw1k3MnNL14OXH7L21C22fdkC7X8Nl7H7wgMu3HvKhA4umeZ/8CyGopZGaCmV3HgcQVxSCpZGehSxMMLzbABDm1QgJU2FT0AoPeuUJTIuCQNdbfR0tHgSEcetoEhK/KtniBBC5FVta1Xgp3VHuPMkjF+HpA9hEROfREnbAigUCjYcu/TS5YoVNOPqvWBaVndk57/eA1Gvsj3L9p3DrVxxtLSUXLkbRKVSme/b36dHxOSeTZncM/3Fo2sPn+dGYChfd25AdHwiScmpFDQ3JikllaMXAhjS2h2FQkHDqg6c8w+kerninLp6n7JF03vF/bH7LACDWrm91bZbVC/HpOX7Gd2+NjHxSdx69JQS1hYkp6TS46d1DG9bi7qVS73TfgkhhCY9H57p9t17LPplBgDRMbHYl7RDoVCwxnPrS5crUawIl65ep3XzJmzdvS9jesO6tfljxRpq1nBBS0uLi1euUbVShUzLvk+PiBkTv2HGxG8AWLHOk2v+tzKKEACe23fTsZ1Hxr9TU1N59CQIu+LFSEtLY8+ho7hUrQzAwr9WADB8QO9M27hz9z4OpewAOHTsZEZRIy4uHoVCgaGhARu27qBalUqYmZpStIgtazZuZczQAaSkpODl48eAXl3faf+EyGlSiBAflFNxc26HxuJeyhLdf97j0MutGANWXmTLhSDqlH55q53uNYrSZ/kFDvs/zXhXAkBPt2I8CIun8ZzTqNVQqqARf/eulmPxnrsfyfZLwZS3MWHf1fSX4/3WtTKOtiaoVGr2Xg1h76jM43v/cuA2a889IiohBacfjjKsfkkG1LZj+NrLhMclk6aGmqUs6V4j/UWmgeHxmOhnPRT/Ph1IYEQC03fdZDo30dVWsmeUOwWMdBlctyRN5p5BqYAprctlPMzqu/wCUQkpGOpqMadzpUwPuYQQIq9wLlWQ20GRuJexQVc7/T0OveuVo9/vR9jsHUBdx6wthgB61C5Dr0WHOXzlEfXKv5ind92yPHgaQ8Np21EDpaxNWT707d4v8bY6zd3PlcAw4pNSqfL1BpYPa0g1u4J8u/YsN4Mi0FIomNyxOhZG6T0ivlt3luJWxjSduROAQY3K07VWacZv8CY1TUWbn9OTnTbOdoxtVYUHT2NeOnzSyRtBLDl0DW0tJfo6WizqVw+lUkEbFztO+D+h3tRtAHR0c6BiMUvOBYTw1aozKJQKFCj4oXONjJiEECIvcylTjJuPnlKrgh26/7zHoW9zV3r9bz2exy9Rv4r9S5fr2cSF7j+u4aDfLRpUdciY3reZKw9CIqgzdiFqwKFwAVZ9+3bvl3gf0XFJ9PxpLcmpaajUatq4l6dF9XIATOnVlMFzNxObkESxguYsHt0BgDuPn1G9XNaWqv4PQ/lsygoiYxPY73uTMkULsvfHATgWt8bNsQQ1Ry1AqVTwfbdGFDA1YsOxi/jefEh0XCK/70zvZb59Wl8sTaWXtBAif6jhXA3/2wHUqVkDXd30e+NBfbrTue9Q1m3eRqO6tV+6XL/uXejQayB7Dx2lSf26GdMH9e7GvQeBODdoCWo1pe1L4rl8yQfZF5VKxfY9+/E6sCNjWlpaGj0GjyI2Lh7Uamq7V2dwn+4A3LpzF/fqWd+Xun7LdjZu3YmOjg7mZqYs/e0XAIJDn9Kma18UCnAoVZK/5v8MwOdtWnH4+Gmq1W0GQPeO7alSURqpirxBoVar1ZoOQuQf58+fx9nZmf2j3alc1EzT4eSK8pMPc31qzj7Aep1R6y8zyaMcVsa5O353h8XezGxfnnI22WsZe/lRFM3meeHn54eT09u9RFwI8Wl5fm04NL41lUt8HEMAlRu7Fv85uf/A6rkRy04w5fPqWJno5+p22v2ylx+7uuH4n5dqv8zlB89oPGOnnP+FEDni+bXi2OyhVLF/ecE5r7Pv+SMBq77L8fV2m7mG5V91zijA5JbKA2dzZv4IjP/zguxLAU+oP26xnO+FEB/E8+uB96FdOFWp+OYF8hibstUIvnkhx9fboecA1i9dlFGAyS0OTrW4eOIAxsZGWT47f+kqNRp7yPVA5BppLi3Ef+hqK2n862liE9/+ZXjvY36XyrlehOjypw8PwhMyvURVCCHEq+loK2kwbTuxiSkfZHsL+tbN9SJEp7n7efA0Bh3pLSeEEO9EV1uLOmMWEpOQlKPrXft991wtQqSlqagzZiGpaWkoJR8QQoj3oqujg3P9FsTExuboeres+itXixBpaWk4129BSkoqSqXkA0IzZGgm8clwnXmMY+NqY6T3+p/9xYkNXvv5+9jg84jpu29hY/qiFdK2YTUwfsnQTDlp/UDXXF2/EELkJ87feXJ8cjuM9XVeOc+Vn7vkagzrz9xm2mZfrM1eDJex8+uWr43pfW0c0yzX1i2EEPnNq3oHvM6NZV/naAxrD59n8soD2Fi86LG858cBmGQjprehpaV853dhCCHEx+51PQReJvDquRyPYcU6T76b9hO21oUyph3b5YmJsXGObUNLS+ud34UhRE6RQoQQH1hH58JMbl1O02EIIYTQsI5u9kztWF3TYQghhNCgLvWrMr1vc02HIYQQQsN6dOrArKnjNR2GELlKChHio7Ta+yFLTz1AqVDQsJwV41uWzfR5r7/9CI5OIjlVxVfNHGhVyYa4pFQGrLxIcHQiAJM8ylK3tBWj1l/myuNotJQKBte1o4trUU3skhBCiHew6uRN/jp8HYVSQaOKRZnYwSXT5z0WHCI4Mp7k1DS+blMNDyc7YhNT6L/kKMERcQBM7lideo62jFh2kiuBYWgpFAxpUpGutUprYpeEEEJk04oDvizZ5YVSqaCxUxmm9Gqa6fMuP6wmODyGpNRUvu/akNbuFYhNSKLPrPU8CYsGYHrf5tSvbM/Q+Zu5HBCEUqlgeNtadG8kY2gLIUR+8deqdSz4czlKpYLmDeszc9K3mT5v170/T4JDSE5OZvI3X9DeozmxsXF07jeUx8EhAMya8j2N6tWm74hxXLx8FaWWFmOG9KdPt06a2CUh8hUpRIiPzvUnMSw99YDtw2pgaqBDRHxylnnmdamEhaEu0QkptPztLC0rWnP05jMsjHRYN9AFtVpNbFIaV59E8zA8gRNf1QEgOiHrWOFzDwew61Jwluk93YvR2714lumefk84eTsMADNDHTYPkdawQgiRG649Cuevw9fZ+XUrTA11iYjLOqb3b33rYGGkR3R8Ms1/3EWraiU4eu0xFkZ6bBjdNP16kJjC1YfhBD6L5dTUDgBEv+TaMmf3JXb43c8yvXe9svSpl7UnnOfZAE7cCALA3FCXrV+2eM89FkII8V9X7wezZJcXe38ciJmRPhEx8VnmWTy6AxYmhkTFJdLk6yV4uJXnyIU7WJgYsmlyb9RqNTEJSVy5F8SDkEjOLhgFQFRcYpZ1/eJ5jO2nr2WZ3re5K/2aZ73vX3/sIscuBQBgbmzAzh/6ve8uCyGEeInL126w4M/lHN/liZmpKeERkVnm+XvBbCwtzImKjqZWs3a0a9WMA0dPYGlpwe6NK9OvB7GxXLx6nfsPHnL59CEAoqKjs6zrx18XsGnH7izTB/XpzuA+PbJMX71xC4ePnwLAwtyMQ9vWv+ceC5H3SCFCfHTO3A2jTRVbTA3Sx9m2MMz6sp8/TjzgwPVQAB5HJhAak4SjrQmTd/ozfddNWlQshIudBSUsDQmOTuK7LddpVqEQ9ctaZVnXmEb2jGlk/9bxydBMQgjxYZy5GUxb15KY/nMdsDDKOub2kkPX2HcpEIDH4bGERiVQvqgFkzaeY+omH1pWK4GrfSFKWJkQEhnPN2u9aF6lOA0qFMmyrrGtqjC2VZW3jk+GZhJCiNx3+uo9OtSuhJmRPgAWJoZZ5lm04wx7ffwBePQ0ipCIWMqXsOb7v/cyafl+PNwcqV6uOHY2lgSHR/Plkp20rO5Iw2oOWdb1Zcf6fNmx/lvHJ0MzCSHEh3H89Fk6tfXAzNQUAEsL8yzzzPt9KTv3HwQg8PETgkOeUrF8Wb6cOJ1vp/5I25ZNcXd1plSJ4gSFhDDy64m0adGEJg3qZlnXd1+M4LsvRrx1fDI0k/gUSCFCfHJO3wnD534Eu0a6YaCjRe1ZJ0lOVWFf0IiDY2py6MZTJu7wp6NzYfrVKsHRcbU44v+M30/c4/itZ1mKCNntESGEECJvOOUfxLk7Iez91gMDXW1qTtxCUmoa9tZmHJ7YhoNXHjFhgzed3Ozp37A8xya348jVRyw+eJVj1x9nKSJkt0eEEEIIzTt55S7e/oEc/N9gDPR0qD58HskpqTgUseLEr8M44HeT75buoXP9qgxq5cbpeSM4dP42C7ef5ujFO1mKCNntESGEECJvOHbqDGfO+XJ67zYMDPSp6N6QpOQkytiXwufIbvYcPMIX46fRo1MHhg/ozYXj+9l3+BhzFv3JwWMnsxQRstsjQohPgRQixEentkMBhq65RP9axTOGZvp3r4iYxFQsjHQw0NHiQmAkd5+ljwEeHJWIuaEOnVyKoKVUcCYgnLC4ZHS1lLSuYoO1qR6/HLiTZXvZ7REhhBDiw6hdzpYhfx5jQIPyGUMz/btXRExiMhZG+hjoanP+3lMCQqMACI6Mx9xIl87uDmgpFZy+GURYTCK62krauJTE2tyQWTsuZNledntECCGEyH11KpViwOyNDGzlljE00797RcTEJ2FpYoiBng5+tx5x50n6EKpB4dFYGBvQpUE1lEolp67cIyw6Dh1tLdrVqoiNpQk/rTuSZXvZ7REhhBDiw2hQpyY9Bo9i+MDeGUMz/btXRHRMLAUsLDAw0Ofc+YvcCrgHwJPgECzNzejZ+TO0tLQ4dsqLZ2Hh6Orq8HnbVtjaWDNt1pws28tujwghPgVSiBAfnXI2JgyoXYI2C73RVipo8J+XVdcva8WyM4E0/vU05Qub4GhjAsCN4Bim7bqJlkKBvo6S2Z0qERyVyJgNV1CpQUupYFqb92/R+u93RAAs61ONYpZZu4gLIYR4P45FLBjYqAIes3ajpVTSqGIRJvzrZdUNKhTh76P+NJi2nQrFLHAsYgHA9ccRTPU8h1KpRF9Xi7m9ahMUGc+o5SdRqdVoK5X80Pn9W7X++x0RACuGNaS4lcl7r1cIIcQL5UtYM6S1O82/+xNtpZLGzqWZ3PPFy6obVnPgrz3e1BmzkIolbShfohAA1x+EMHHZPrSUSgz0dJg/oh1PwqIZPn/LP9cCLWb2f/93+/z7HREAa77rRnFri/derxBCiMwqOpZl5MC+1Gv1OVpaWjRvVJ8ZE7/J+Lxpg7os/nsVzvVbULmCIxXLpz9Hunrdn6+nzEy/Hhjo88fcWTwOCqb/yC9RqVVoa2nz6w+T3ju+f78jAmDzyj+wK17svdcrRF6iUKvVak0HIfKP8+fP4+zszP7R7lQuaqbpcMQHcPlRFM3meeHn54eTk5OmwxFC5EHPrw2Hxremcoms79IR+dPlB89oPGOnnP+FEDni+bXi2OyhVLEvrOlwxL9cCnhC/XGL5XwvhPggnl8PvA/twqlKRU2HI/7l/KWr1GjsIdcDkWuUmg5ACCGEEEIIIYQQQgghhBAfLylECCGEEEIIIYQQQgghhBAi10ghQgghhBBCCCGEEEIIIYQQuUYKEUIIIYQQQgghhBBCCCGEyDVSiBBCCCGEEEIIIYQQQgghRK6RQoQQQgghhBBCCCGEEEIIIXKNtqYDEPnT7dA4TYcgPhD5vxZCvK1bwVGaDkHkIPn/FELkhpuPnmo6BPEf8n8ihNAE/9t3NB2C+A/5PxG5TQoRIlusrKwwNNBnxLrLmg5FfECGBvpYWVlpOgwhRB6Vfm0wYNjSE5oOReQwQwMDOf8LIXKElZUVhoYGDJ6zSdOhiJcwNJTzvRDiw0i/HhjSe+gYTYciXsLQ0FCuByLXKNRqtVrTQYj8JTAwkGfPnmk6jCwOHDjAd999xxdffEH37t01Hc5bi4qKonv37piZmbF06VL09fU1HVIWVlZWFC9eXNNhCCHysLxybUhMTKR///5ER0ezevVqzMzMNB3SW1uzZg2//vorP/30E02aNNF0OICc/4UQOetDXiskN8geOd8LIT6kD3U9kNwg++R6IHKTFCLER+HatWvUqFGD1q1bs3btWhQKhaZDypYLFy5Qs2ZNunbtytKlS/Nd/EIIkReo1Wr69evH+vXrOXPmDNWqVdN0SNmiVqvp2rUru3btwtvbmwoVKmg6JCGEyJckNxBCCCG5gRB5jxQiRL4XFRWFq6srenp6nD17FiMjI02H9E5WrFhBnz59+P333xk8eLCmwxFCiHzn999/Z+jQoaxcuZKePXtqOpx3EhcXh5ubG8nJyZw7dy5ftdoSQoi8QHIDIYQQILmBEHmRFCJEvqZSqejQoQPHjh3D19cXBwcHTYf0XoYPH86ff/7JiRMncHNz03Q4QgiRb5w9e5a6desyaNAgFixYoOlw3svt27dxcXGhQYMGbNmyBaVSqemQhBAiX5DcQAghBEhuIEReJYUIka/NmDGDCRMmsHPnTjw8PDQdzntLTk6mfv36BAYG4ufnh7W1taZDEkKIPC8kJAQnJyfs7Ow4evQourq6mg7pve3cuZM2bdowY8YMvv/+e02HI4QQ+YLkBkIIISQ3ECLvkjKayLf279/PxIkTmTRp0keRaADo6uri6elJamoqXbp0ITU1VdMhCSFEnpaamkrnzp1JS0vD09Pzo0g0AFq3bs3EiROZMGECBw4c0HQ4QgiR50luIIQQQnIDIfI26REh8qV79+7h4uJCjRo12LVr10fXNe3EiRM0bNiQMWPG8Msvv2g6HCGEyLPGjRvH/PnzOXLkCHXq1NF0ODkqLS0NDw8Pzp07h5+fH3Z2dpoOSQgh8iTJDYQQQoDkBkLkdVKIEPlOQkICNWvWJCoqCl9fXywtLTUdUq6YO3cuY8eOZf369XTu3FnT4QghRJ6zfv16unbtyty5cxk9erSmw8kV4eHhuLi4YG5uzunTpzEwMNB0SEIIkadIbiCEEAIkNxAiP5BChMhX1Go1ffv2ZcOGDXh5eVG1alVNh5Rr1Go13bp1Y+fOnXh7e1OhQgVNhySEEHnG1atXqVGjBu3atWP16tUoFApNh5RrLly4QM2aNenSpQt///33R72vQgiRHZIbCCGEAMkNhMgvpBAh8pXFixczbNgwVq1aRY8ePTQdTq6Li4vDzc2NpKQkfHx8MDMz03RIQgihcZGRkVSvXh19fX28vLwwMjLSdEi5btWqVfTq1YvFixczZMgQTYcjhBB5guQGkhsIIYTkBpIbiPxDChEi3/Dy8qJevXoMHjyY3377TdPhfDB37tzBxcWFevXqsXXr1o9uzFshhMgOlUpFu3btOHHiBL6+vjg4OGg6pA9mxIgR/PHHHxw/fhx3d3dNhyOEEBoluYHkBkIIIbmB5AYif5FChMgXgoODcXZ2xs7OjqNHj6Krq6vpkD6oXbt20bp1a3744QfGjx+v6XCEEEJjfvjhByZOnMjOnTvx8PDQdDgfVHJyMg0aNOD+/fucP38ea2trTYckhBAaIbmB5AZCCAGSG0huIPIbaT4h8ryUlBQ6d+6MSqXC09Pzk0s0ADw8PJg0aRITJ05k//79mg5HCCE0Yt++fUyaNInJkyd/cokGgK6uLp6enqSlpdG5c2dSUlI0HZIQQnxwkhtIbiCEECC5geQGIj+SHhEizxs7diwLFizg6NGj1K5dW9PhaIxKpcLDw4OzZ8/i5+dHyZIlNR2SEEJ8MHfv3sXFxQV3d3d27tz5SQ9FcfLkSRo2bMjIkSP59ddfNR2OEEJ8UJIbpJPcQAjxKZPc4AXJDUR+IoUIkaetW7eObt26MW/ePEaNGqXpcDQuPDwcFxcXzMzMOHPmDAYGBpoOSQghcl18fDy1atUiOjoaX19fLCwsNB2Sxs2bN48xY8awbt06unTpoulwhBDig5DcIDPJDYQQnyLJDbKS3EDkF1KIEHnWlStXcHNzo127dqxevRqFQqHpkPKEixcv4u7uTufOnVm2bJl8L0KIj5paraZPnz54enri5eVFlSpVNB1SnqBWq+nRowfbtm3D29ubihUrajokIYTIVZIbvJzkBkKIT4nkBi8nuYHIL6QQIfKkyMhIXF1dMTQ05MyZMxgZGWk6pDxl9erV9OzZk0WLFjF06FBNhyOEELlm0aJFDB8+nFWrVtGjRw9Nh5OnxMXF4e7uTmJiIufOncPc3FzTIQkhRK6Q3OD1JDcQQnwqJDd4NckNRH4ghQiR56hUKtq1a8fJkyfx9fXF3t5e0yHlSSNHjmTJkiUcP34cd3d3TYcjhBA57syZM9SrV4+hQ4cyf/58TYeTJ925cwcXFxfq1q3Ltm3bPunxcYUQHyfJDd6O5AZCiI+d5AZvJrmByOukECHynOnTpzNp0iR27dpFq1atNB1OnpWcnEzDhg25d+8efn5+2NjYaDokIYTIMcHBwTg5OVGqVCmOHDmCrq6upkPKs3bv3o2HhwfTp09nwoQJmg5HCCFylOQGb0dyAyHEx0xyg7cnuYHIy6Q0JvKUvXv3MnnyZKZMmSKJxhvo6uqyceNGVCoVnTt3JiUlRdMhCSFEjkhJSaFTp06o1Wo8PT0l0XiDVq1aMXnyZCZNmsS+ffs0HY4QQuQYyQ3enuQGQoiPleQG2SO5gcjLpEeEyDPu3r2Ls7MztWrVYseOHdKF7C2dOnWKBg0aMGLECObMmaPpcIQQ4r2NGTOGhQsXcuzYMWrVqqXpcPIFlUpF69at8fLywtfXl1KlSmk6JCGEeC+SG7wbyQ2EEB8byQ2yT3IDkVdJIULkCfHx8dSsWZOYmBh8fX2xsLDQdEj5yvz58xk9ejRr166la9eumg5HCCHe2bp16+jWrRvz589n5MiRmg4nX4mIiMDFxQVTU1NOnz6NoaGhpkMSQoh3IrnB+5HcQAjxsZDc4N1JbiDyIilECI1Tq9X07t2bTZs2cfbsWSpXrqzpkPIdtVpNz5492bp1K2fPnqVSpUqaDkkIIbLtypUruLm50aFDB1auXIlCodB0SPnOpUuXcHd3p2PHjixfvly+QyFEviO5wfuT3EAI8TGQ3OD9SW4g8hopRAiNW7hwISNGjGDNmjV069ZN0+HkW/Hx8bi7uxMfH4+Pjw/m5uaaDkkIId5aZGQkLi4uGBsbc+bMGWmx8x7WrFlDjx49WLhwIcOGDdN0OEIIkS2SG+QMyQ2EEPmZ5AY5R3IDkZdIIUJo1OnTp6lfvz7Dhg1j3rx5mg4n3wsICMDFxYXatWuzfft2GUtXCJEvqFQq2rZty6lTp/D19cXe3l7TIeV7o0aNYvHixRw/fpyaNWtqOhwhhHgrkhvkLMkNhBD5keQGOU9yA5FXSCFCaExwcDBOTk44ODhw+PBhdHR0NB3SR2HPnj14eHgwdepUJk6cqOlwhBDijaZNm8aUKVPYvXs3LVq00HQ4H4Xk5GQaNWpEQEAA58+fx8bGRtMhCSHEa0lukDskNxBC5DeSG+Q8yQ1EXiFNIoRGpKSk0LFjRwA2btwoiUYOatmyJZMnT2by5Mns3btX0+EIIcRr7dmzhylTpjBlyhRJNHKQrq4uGzduRK1W06lTJ1JSUjQdkhBCvJLkBrlHcgMhRH4iuUHukNxA5BXSI0JoxOjRo1m0aJF0C8slKpWKNm3acPr0afz8/ChVqpSmQxJCiCxkyIjc93yYk+HDhzN37lxNhyOEEC8luUHuktxACJEfSG6Q+yQ3EJomhQjxwa1du5bu3buzYMEChg8frulwPloRERG4urrKy52EEHlSfHw8NWvWJDY2Fl9fX3mJZi5asGABI0eOZO3atXTt2lXT4QghRCaSG3wYkhsIIfIyyQ0+HMkNhCZJIUJ8UJcvX8bNzY3PP/+cFStWoFAoNB3SR02+byFEXqRWq+nVqxdbtmzh7NmzVKpUSdMhfdTk+xZC5FVyr/phyfcthMiL5F71w5LvW2iSFCLEByOtcDRDWpkJIfIaaYXz4UkrMyFEXiO5gWZIbiCEyGskN/jwJDcQmiKFCPFBqFQqWrdujZeXF76+vjIu6Qc2ZswYFi5cyLFjx6hVq5amwxFCfMJOnTpFgwYNGDFiBHPmzNF0OJ+Uu3fv4uzsLOPuCiE0TnIDzZLcQAiRV0huoDmSGwhNkEKE+CCmTp3K1KlT2bNnD82bN9d0OJ+clJQUGjVqxJ07dzh//jw2NjaaDkkI8QkKCgrCycmJMmXKcOjQIXR0dDQd0idn7969tGrViilTpjBp0iRNhyOE+ERJbqBZkhsIIfICyQ00T3ID8aFJIULkut27d9O6dWumTp3KxIkTNR3OJys4OBgnJyfs7e05cuSIXOSFEB9UcnIyDRs25N69e/j5+clDDw2aNm0aU6ZMYdeuXbRs2VLT4QghPjGSG+QNkhsIITRJcoO8Q3ID8SFJIULkqoCAAFxcXKhTpw7btm2Trl4adubMGerXr8/QoUOZN2+epsMRQnxCRo0axe+//87x48dxd3fXdDifNJVKRdu2bTl16hS+vr7Y29trOiQhxCdCcoO8RXIDIYSmSG6Qd0huID4kKUSIXBMfH4+7uzvx8fH4+PjIy2/yiIULFzJixAjWrFlDt27dNB2OEOITsHr1anr27MnChQsZNmyYpsMRQGRkJK6urhgZGclLYoUQH4TkBnmT5AZCiA9NcoO8R3ID8aFIIULkCrVaTc+ePdm6dSve3t5UrFhR0yGJf6jVanr37s2mTZs4e/YslStX1nRIQoiP2KVLl3B3d6djx44sX74chUKh6ZDEP65cuYKbmxsdOnRg5cqV8n8jhMg1khvkXZIbCCE+JMkN8i7JDcSHIIUIkSt+++03Ro0axbp16+jSpYumwxH/ER8fT82aNYmNjcXHxwcLCwtNhySE+AhFRETg4uKCqakpZ86cwcDAQNMhif9Yt24d3bp147fffmPEiBGaDkcI8ZGS3CBvk9xACPEhSG6Q90luIHKbFCJEjjt16hQNGjRg5MiR/Prrr5oOR7zC3bt3cXFxwd3dnZ07d8oYvUKIHKVSqWjdujVeXl74+flRsmRJTYckXmHs2LEsWLCAo0ePUrt2bU2HI4T4yEhukD9IbiCEyE2SG+QfkhuI3CSFCJGjgoKCcHJyokyZMhw6dAgdHR1NhyReY9++fbRs2ZLJkyczefJkTYcjhPiITJkyhWnTprF3716aNWum6XDEa6SkpNC4cWNu3brF+fPnsbW11XRIQoiPhOQG+YvkBkKI3CK5Qf4huYHITVKIEDkmOTmZhg0bcu/ePc6fP4+1tbWmQxJvYfr06UyePJmdO3fSqlUrTYcjhPgI7Nq1i9atWzN9+nQmTJig6XDEWwgODsbZ2ZmSJUty5MgRdHV1NR2SECKfk9wgf5LcQAiR0yQ3yH8kNxC5RQoRIseMHDmSJUuWcPz4cdzd3TUdjnhLKpWKdu3acfLkSXx9fbG3t9d0SEKIfOzOnTu4uLhQr149tm7dKkM75CNeXl7Uq1ePIUOGMH/+fE2HI4TI5yQ3yJ8kNxBC5CTJDfIvyQ1EbpBChMgRq1evpmfPnixatIihQ4dqOhyRTZGRkbi6umJoaIiXlxeGhoaaDkkIkQ/FxcXh7u5OYmIiPj4+mJmZaTokkU2LFi1i+PDhrFq1ih49emg6HCFEPiW5Qf4muYEQIidIbpD/SW4gcpoUIsR7u3TpEu7u7nTq1Illy5ahUCg0HZJ4B1evXqVGjRq0b9+eVatWyf+jECJb1Go1PXr0YNu2bXh7e1OxYkVNhyTegVqtpk+fPnh6euLl5UWVKlU0HZIQIp+R3ODjILmBEOJ9SG7wcZDcQOQ0KUSI9xIeHo6Liwvm5uacPn0aAwMDTYck3sP69evp2rUr8+fPZ+TIkZoORwiRj8yfP5/Ro0ezfv16OnfurOlwxHtISEigZs2aREdH4+vri4WFhaZDEkLkE5IbfFwkNxBCvCvJDT4ekhuInCSFCPHOVCoVHh4eeHt74+fnh52dnaZDEjngiy++4LfffuPo0aPUrl1b0+EIIfKBkydP0rBhQ0aNGsXs2bM1HY7IAffu3cPZ2Rl3d3d27twp4/kKId5IcoOPk+QGQojsktzg4yO5gcgpUogQ72zy5MlMnz6dffv20bRpU02HI3JISkoKjRs35tatW5w/fx5bW1tNhySEyMOePHmCk5MT5cqV49ChQ2hra2s6JJFD9u/fT4sWLZg0aRJTpkzRdDhCiDxOcoOPk+QGQojskNzg4yW5gcgJUogQ72TXrl20bt2aGTNm8P3332s6HJHDQkJCcHJyomTJkhw5cgRdXV1NhySEyIOSk5Np0KABDx48wM/PD2tra02HJHLYjBkzmDBhArt27aJVq1aaDkcIkUdJbvBxk9xACPE2JDf4+EluIN6XFCJEtt25cwcXFxfq16/Pli1bpEvWR+rs2bPUrVuXIUOGMH/+fE2HI4TIg0aOHMmSJUs4ceIEbm5umg5H5AKVSkX79u05ceIEPj4+ODg4aDokIUQeI7nBp0FyAyHEm0hu8PGT3EC8LylEiGyJi4vDzc2N5ORkzp07h5mZmaZDErlo8eLFDBs2jFWrVtGjRw9NhyOEyENWrVpFr169WLx4MUOGDNF0OCIXRUVF4erqir6+Pl5eXhgZGWk6JCFEHiG5wadFcgMhxKtIbvDpkNxAvA8pRIi3plar6d69Ozt27MDb25sKFSpoOiSRy9RqNf369WPDhg14eXlRpUoVTYckhMgDLl68iLu7O127dmXp0qUoFApNhyRy2dWrV3Fzc6Nt27asXr1a/s+FEJIbfIIkNxBCvIzkBp8eyQ3Eu5JChHhr8+bNY8yYMWzcuJGOHTtqOhzxgSQkJFC7dm0iIiLw9fXF0tJS0yEJITQoPDwcFxcXLCwsOHXqFAYGBpoOSXwgGzdupHPnzsybN49Ro0ZpOhwhhIZJbvBpktxACPFvkht8uiQ3EO9CChHirZw4cYKGDRsyZswYfvnlF02HIz6w+/fv4+zsTI0aNdi1a5eM/SvEJyotLQ0PDw/OnTuHn58fdnZ2mg5JfGDjxo1j/vz5HDlyhDp16mg6HCGEhkhu8GmT3EAIAZIbCMkNRPZJIUK80ZMnT3BycsLR0ZGDBw+ira2t6ZCEBhw4cIDmzZszceJEpk6dqulwhBAaMGnSJGbMmMG+ffto0qSJpsMRGpCamkqTJk24ceMG58+fp3DhwpoOSQjxgUluIEByAyGE5AZCcgORfVKIEK+VnJxM/fr1efjwIX5+fhQqVEjTIQkNmjlzJuPHj2fnzp14eHhoOhwhxAe0c+dO2rRpw8yZM/nuu+80HY7QoNDQUJycnChRogRHjx5FV1dX0yEJIT4QyQ3Ev0luIMSnS3ID8ZzkBiI7pBAhXmvEiBH8+eefnDhxgho1amg6HKFhKpWKDh06cOzYMXx9fXFwcNB0SEKID+D27du4urrSoEEDtmzZIi8jE5w9e5a6desyePBgfvvtN02HI4T4QCQ3EP8muYEQnybJDcR/SW4g3pYUIsQrrVy5kt69e7NkyRIGDRqk6XBEHhEVFUX16tXR1dXl7NmzGBkZaTokIUQuiouLw83NjeTkZHx8fDA1NdV0SCKPWLJkCUOGDGHlypX07NlT0+EIIXKZ5AbiZSQ3EOLTIrmBeBXJDcTbkLdKiUxWrVrFrVu3uHDhAoMHD6Zfv34MHDhQ02GJPMTMzIytW7dy7949Bg4ciFqt5vfff+fx48eaDk0IkUMeP37M77//jlqtZsCAAdy7d4+tW7dKoiEyGTRoEH379mXQoEFcvHiRW7dusWrVKk2HJYTIQZIbiDeR3ECIj5/kBuJtSG4g3ob0iBAZkpKSMDEx4aeffuK3336jQIECnDp1Cn19fU2HJvIgT09POnXqxNy5c/nxxx8ZMmQIU6ZM0XRYQogcMHnyZP744w+++eYbxo4dy8aNG+nYsaOmwxJ5UEJCArVr1yYiIoLhw4fz3XffERMTg56enqZDE0K8J8kNRHZIbiDEx0tyA/G2JDcQbyI9IkSGy5cvk5KSwsaNG4mJiWHp0qUolfITES/XoEEDvvjiC8aNG0eJEiXw9fXVdEhCiBzi6+tLiRIl+PLLLxk3bhwNGjTQdEgij9LS0uLvv/8mOjqaTZs2kZKSwpUrVzQdlhAiB0huILJDcgMhPl6SG4i3JbmBeBO5kxQZfHx8UCqVnDt3jqpVq+Ls7MyyZcs0HZbIg9RqNZUrV2b79u04ODhw9epVvL29kQ5WQuR/arUab29vrly5gr29Pdu2baNy5cpyfIuXWrZsGc7OzlStWhVvb2+USiU+Pj6aDksIkQMkNxBvS3IDIT5ekhuI7JDcQLyJFCJEhi1btqBSqVCr1dy6dYtff/2V3r17azoskQcpFAr27t2Lk5MTt27dIj4+nmfPnnH37l1NhyaEeE8BAQGEhYURHx/P7du3cXJyYu/evSgUCk2HJvKg3r178+uvv3Lr1i3UajUqlYotW7ZoOiwhRA6Q3EC8LckNhPh4SW4gskNyA/EmUogQGR4+fIiZmRnLli0jICCAUaNGyRiw4pWqVKnCxo0b8ff3p3Xr1igUCu7fv6/psIQQ7+nBgwcoFAratGmDv78/GzdupEqVKpoOS+RR+vr6jBo1ijt37vD3339jZmZGYGCgpsMSQuQAyQ1EdkhuIMTHSXIDkR2SG4g3kZdViwxqtVqq2uKdye9HiI+HHM/ifcjvR4iPgxzL4n3I70eIj4ccz+J9yO9H/JsUIoQQQgghhBBCCCGEEEIIkWu0NR1AbgoMDOTZs2eaDkO8hJWVFcWLF9d0GB8N+a1/fOQYyT45Dj4+chy8Pzku8h/53eceOR7yLvnd5yz5rX985Bh5Ofmti+fyyzEiv1mRn+TGcfXRFiICAwNxLFeW+IRETYciXsLQQJ8b/jfzxYUir5Pf+sdJjpHskePg4yTHwftJPy7KEZ+QoOlQRDYYGhhww99ffvc5LDAwEEfHcsTHy/GQFxkaGnDjhvzuc4Kc+z9Ocm3IKv287kh8fLymQxF5gKGhITdu3MjTx4jci4j8Jjfuzz7aQsSzZ8+IT0hkQafyOBQy0nQ44l/uhMYxYuN1nj17lqcvEvnF89/6wh5OlC5koulwRA64HRrD8NXn5RjJhoxzfreqlLY21nQ4IgfcDollxNqLchy8h/TjIoHFQ5pRpoilpsMRb+HW43CG/r5ffve54NmzZ8THJ/DHNz0oU8xa0+GIf7n1MIRB/1stv/sc8vzcv6h/XcrYmGk6HJEDbgVHMWzpCTlG/iP9vB7P6lUrcXR01HQ4QoNu3LhBj5698vwxknEv8lUPyhQvpOlwhHitW4GhDPo55+/PPtpCxHMOhYyoXEQezoqPX+lCJlQuZq7pMITQqNLWxlQuKkm3EP9WpoglVewk2RECoEwxa6qWLqbpMITIdWVszKhcwkrTYQiR6xwdHXFyctJ0GEK8tTLFC1HVQe5FxKdJqekAhBBCCCGEEEIIIYQQQgjx8ZJChBBCCCGEEEIIIYQQQgghco0UIoQQQgghhBBCCCGEEEIIkWs++ndE5JY1Pk8Yv/0ml8bXxsxAR9PhZDFiwzX8g+NQqdVUtzNnZpsyKJUKpu65zcEbYehqKahS1JSf25dFWytzPeqXQ3dZ5xOEhVH6fs3uUI4qRU01sRsiBzyOSGD8lsvcCIpGV1tJpSLmzPysEuaGutleV2B4PAOWnePAuPqsOH0PM0Nd2lUrwvpzgTRytKagiR4A+64E8cv+m6jUatJUar5r6UjzSrY5vWsfxLXHUTT99TjL+lWnaQUbANacfcCCw7dRKGBK24oZ0w9cC2bq9quo1DCiUWm6u5XIsr7zDyIYs+4CyWkqOroUY1yzsh90fz5FjyMSGL/1Gv7BMehqK6lY2JSZHSpibpj9c/fD8HgGrDjP/rG1WXHmAeYGOrStVpgN5x7SyLEQVs+PgavBzN5/O/0YUKv5tkVZmle0yeld+yCuPYmm2ZxTLOvrTJPy6S94XXM2kIVHA1CgYEpbR5qUt+ZOaCxDVl3IWC4gNJZFParRolLm/Xb94Qgm+tooFQqsTfVYM7D6B90fkfNWHbvKNyuOcWPBQMyM9DQdThZDFu/jxsMwVGo1NcoUZlbvBiiVCi7fD+XLZUdISE7FsVgBFg5qio62VqZl/7flLKuPXaOAiT4Ac/o3plopedGxyGrlXi++XLiJW+unY25sqOlwXqnX9GUEhoRzbME4APrOWM7tR6EAhEXFUa1MMdZOGZBpmR9X7WXVvrNYmhoB8NvYLlQrk3dfBipe7XF4LN+t8+bG4wj0dJRULFaAn7q6Yf4O5+7AZzH0X3KUg+PbsPy4P+aGurRzLcX6M7dpVLEoBU0NANh78QE/77yISq1GpVLzXTsnWlTNeo+c1x27/pjJnj6o1WrKFjbnz0ENAFh98ha/7b+MAgXTOlWnaeX0cd8PXH7IZM9zqNRqRjarTI86ZbKs8/y9p4xefoqk1DQ6uTvwpUfVD7lLHz1tHV0qVqwIgI6ODn/+sYSqVau+cv7ly5dz9eo1fvnl5w8UYc7btWsX3373PdevX+fypYsZ++/p6cn0H2agVCoxNjbmrz//oFy5chw7dox27TtgZ2cHwJDBgxgyZAixsbG0bdceb29vhgwenOk7mTNnLn8tXYparaZxo0bMmzeX2NhY6tStlzHPvXv3mDplCmPGjM4UX4+ePbly5SoqlYratWqxcOEClEolarWar7/+hu07dqClpcXUKZPp1KkTY8d+wdFjxwCIiorCzMyMixfO5+6XqEEFWo3D0e5F7jTqs4Z0auj80nkXbT3OAI9a6OqkP9b1+GYhu/43/L1jWHPwHE1dHSlo/vbv2l1z8Bw37gfxw8C2nL12l/F/bicxOZWU1FSGtqtH35Y1X7ns0NlraVu7Cs1rVHjv2HPLPu9rTF22C//AEE4v+orydrZZPu8y5S/OLP6a8na2nLx8h+7TllLc2hKAfi1r0q9VLQC+/2MbR8/fRKFQMHNQW+pXK0tMfCJtvl1ESloaKpWawW3q0LuFOwDh0XEMn7OeO49CUSoUrJ8ygJKFM7//qdXXCwiNiEFPN/23cGrhVwD0/XFF1nu8Sf159DSCwT+vISouAS2lkjkjOuJU9sPd10kh4h3tvBxC5aKm7L32lC4uhXNtO5EJKZi/Q6Hjx7ZlMdFP/+8dvPYq+288o0WFgtQvXYAJzR1QKmDUxut4Xgim60viH16vBP1qFn3v+IVmqdVq+v7tzYC6pVjevwYAx/xDiYpPyVSISFOp0VIqsrXu3rVKZvx9w7lAqhQzp6CJHilpKsZvucL+cfWwMtYjLimVZ7FJ77Uf7xLfc2q1mujE1HcqGKrVambsvk7dMgUzpoXHJbPoyG0OjqtHdGIqny08TcNy6S+BnbL9KpuH1cJEX5sms4/TspItFkaZCz7fbb7M772cKWNtQqt5J2lZ2RZHWyn05Ra1Wk2/5X70r2PH8n4uABy7+ZSohJRMhYh3OgZqvkiiN/g+okoxc6yeHwNbr7F/bO2MYyAsNvm99kOTx8DM3f7ULfPiZic8LpnFx+5yYGwdohNT+HzxWRqULYhDIWMOjasDQFxSKq4/HKFemZe/JHPnyJoY6cktyMdiu/dtqpYsxG6/O3Srm3tJRGRcIuZG+tle7uc+DTAxSH/I1n/BHvaeD6CViwNjlh7m594NcHawYf4uX9aeuE7vhpWyLD+6tQsDmlR57/jFx23riYtUK12cXaev0KNZjVzbTmRMPOYm71boOOp3M8u1ZNn4Phl/H/S/VdSrlvVhKcCYTo0Z1LbOO21X5A1qtZo+i48woGF5Vg5vBMDRa4+JjE/OVIhIU6nQUmZv4IQ+9cpl/H39mTtUKWFFQVMDUlJVfL/Om4MT2mBlok9sYgphsYnvtR/vEt9zarWa6IRkzAyzV3iJjEti0sZzeI5phrW5IU+jEwAIj01k4YErHJ7QluiEZNrP3kvDCkUAmLTxHFvHNcfEQJdGP2ynlVMJLP5T8Pl27Vl+H1iPsrbmtPxpN62qlcCxiMU77ZvIytzcPOOh9ebNm5k2fTpbNm/WcFRvJykpCZVKhYGBQbaWK1u2LJs8NzJk6LBM01u0aMHnn3+OQqFgz549fPPtt2zftg2Axo0bscnTM9P8Ojo6TJ40kWvXrhEQcDdj+tOnT1mwcCHXrl5BR0eHuvXqc/bsWdzd3TO+a7VajV3JUrRt2yZLfIsWLsTUND337dylC9u3b6d9+/YsXbqU6Ohobt30R61WExYWBsCcOb9mLDthwkS0tT/u/MHM2CDjIfKbLN52nF7N3TIKETlRhABYe/Ac1UoXy1Yh4t9GzdvAuskDsC9SkOSUVAJDwnMkrufS0lRoab3bNSApORWVWoWBXvYa5ZYuWogV4/sw9jfPLJ8lJqewaOtxnP/zIL9+1TKsnNA307S9Z68S8Pgppxd9RXRcIh0mLKFO5dIY6umye9YIDPV1iU9Mxn3o/2hdqzKWpkZ8+/tWOtStSscGzsQnJqNG/dIYV4zvk6VAsuy73hl/HzRrdcY93jzPI3xe34m+LWty0OcGP6zcw5YZQ7L1nbyPj/soziVhcckEhicyp6Mj84/ezyhEPI1JZsi6q8Qlp1G/tCWrzj3h2sQ6pKapmLrnDn6BUSSnqRnXqCQtKhR87TbO3I1glfdj7jyN5+Co7LcWfV6ESE1TkZiqypher7Rlxt8rFjYhOOr9HhCLvO3kracY6+vQyfXFSbH+Pw/N158L5Jh/KDGJqRjqajHzs0p8tfESTyIT0NfRYnbnqpS2NiEgNJahq3zRUiqoUapAxnp+3uePpZEutmb6XHoYycDlPpjoa7N2kDtpajXG/zxkNNLTznjgeDskhq89LxGVkIKutpJNQ2uSlKpizLoLPIpIwNxQh3ndnChuacioteexMNLl8sNIGpQrRO3SBZm6/SrxyWkUL2DI/G5Or32QGRabxAafh6zzfsDYJmXp4Jz9wpqn70Nqly6If1B0xrRj/qE0crTGWF8HY30dytiYcPFhJGo1lLUxwdY8/WaxkaM1x26G0t7pxXaDoxJIU6kpX9gMgA5ORTl4LVgKEbno5O0wjPW06OTy4v+hftn08++Gcw85dvMZMUkpGOpqM6N9Bb7yvEJQVCJ62kpmd6pMaWtjAp7GMmz1xfRjoOSL5PCX/bewNNLFxkyfSw+jGLDCD1MDHdYMdEWletUxEMs3m68QFZ9+DHgOcSMpVcXYDZdeHANdqlDM0pDR6y5hYaTD5UdR1C9bkDqlrZiy43r6MWBpyPyuVd5wDCSz0ech63weMaaxAx2cimT7+/P0e0xthwL4B8dmTDt28ykNHQthrK+Nsb42ZaxNuPgwChe7F9/N/msh1ClthaEUGz56YTEJPAiN4rdBTZizwyejEBEaFceABXuJS0qhYaUSrDhyhVuLB5OapmLS2pP43AkiJTWNr9u70dLF/rXbOHXjESuOXOFOUARHf+iW7RifFyFS01QkJqeiIP1B7OOwGJwd0lud1S5flJ82nX1pIUKINwmLiuV+UBiLvuzG7HUHMgoRoREx9J25nLiEZBo5l2PZnjPc9ZxBaloa4//Yjs/1+ySnpvJtz+Z41Kz82m2cvHSb5XvOcOthKCcXvd1Din9LSU1j9vqD/G9YB4bPXpfl86TkVA77+TNr+GfZXrfIH07cCMJYT4fO7g4Z0xr889B8/ZnbHL32mJiEFAz1tJnZ1Y0vV50hKDIOPW0t5vSqRWlbcwJCohjy13G0FApqlH7RO2zWjgsUMNbDxsKIiw+e0f/3o5ga6LBudNP0vOCf3PT5/TPA7aBIvlrjRWR8EnraWmz+ojlJKWmMXnGKh2GxWBjpMb9PbYpbmTBy2UksjPW4/CCMBhWKUKecLZM9fYhPSqG4lQm/9a2Tsd6XCYtJZL3Xbdadvs3YllX4rMbrrzv/tfncXdq5lsTaPL0I+Ly3x9Frj2lcsWjGfpW1NefC/WeoSe81YWuR3ouoccWiHL32mA7VS2WsMzgynlSVigpF0/PzDtVLceDyQylE5JLo6GjMzNJzsICAAPr07UdcXBy6uros+3spjo6Omebfvn07M3/8iaSkJEqUKM6a1asxNjamT9++mJma4X3uHGFhYfz15x/Uq1ePlJQUvvhiHMeOH0epVDJp4gQ+++wzli1bxuLfl5CYmEi7tm2ZNm3qa+O8efMmf/zxJ1u2buXggf04ODi8dv7/Kl269EunGxsbZ/w9JiYGheL1DZz09PSoW7cud+/ezfJZamoqiYnpBcWUlBQKFSqU6XMvLy9sbGwoWbJklmWfFyFSU1NJSEjIiGPJH3+ydUt6kUihUGBllbUxk+emTWzbuuW1cX+M0tJUDJ29lkt3HqGlpWRY+3okJKUQHB5N0y/mUdLWijWT+lGq8wTubviBk5fv8Mu6A5gaGXD17hN6NK2OhYkhy/d6oa2lhee0gRQwM+bv3adZfeAcickpVC1djAVjOrPb6yoXbz+k94zlmBrpc3juWPxuPmDCn9uJS0ymhE0BFo/rhrGBHru9rjBp6U6sLUyxL2KFmVH6efFZVBwW/zSY0NXRxqFo+u9jt9cVft1wiKSUVIoVsuTPr3tgbJC5ODtz1V4O+foTn5hES/dKTOrTCoBKvafRo2kNDvv58033Zqw75MNf3/QEYOW+s9x98pQp/Vq/8ju8/SiU5Xu92Hn6MttmDqFU4dc/j/0v+yKvnn+e5xH6t6rJHztPvXE9tx6GULuSA0qlEnMTQ6zMjDh/KxBXRzsMtdKLI0kpKaSp1KjVaqLiErhw+yF/fN0DAEP97I9qAv+6xxuWfo+nUCiIjU9/FhybkIi15Yd9HiVPCN7BnqtPaVGxINVLmHHnaTzhcSlYGunw6+F7NC9fkIG1i7Hm3OOM+df6BlHMQp/prcsQk5hKq0W+NCxbAD3tzFW88LgUPM8Hsd4viFJWhnR3LUz9fxUOWi30JSlNxX+t7lMFG9OsrToGrrnCmYAI6pUpQDPHzCfy1DQVWy6G8GPbl7d6+uNUIGt8HuNW0oKJLezR19F66Xwib7sVEkPFwq8+qVwIjODQl/Ux0ddhyEpfxjYtS5Vi5lwIjGDStqusG+zOxG1XGN2kDK0qF2bajmtZ1tGycmGqnLjLzM8qZzxQr1O6IK7TD1KvTEFaVLalVeX0Yt3w1X6M9yhPvbKFiE1MQV9Hixm7b1CjVAFWNSrNtguPmbDlCisHpCfwTyIS2DK8FilpajotPsOKATUwN9Rl4ZHb/H3yLiMbZ/39nrnzjFVe97n6KIoOzkXxHFoTG7P0i+I67wf8dSLrzVTTijZ80yLzzWdMYgprzwaycWhNvtx4MWN6cHQiNuYvWqbYmukTFJl+I/Z8OwC25voERWVu8RUclYiNmX6mebwCwl7yPyNyyq2QGCoUMXvl5xceRnLwi9qY6OswdNUFxjYpTZViZlwMjGTS9uusG1SdSduuM6qRPa0q2zJ9540s62hZyYa/ipkxs31FytmmtxypU8aK6jOOUreMFS0qWtOqcnrrhBFrL/J9y7LUK1uQ2MRU9HWUzNzjT42Slqzsb8/2C0+YsPUaK/q7AvAkMpHNQ93Sj4El3qzo54q5oQ6Ljgbw96n7jGyUNTk5ExDGaq9ArjyOooNTETYOrpHxu1t/7iF/nbyfZZmmFQrxdfPMw4TFJKaw1vshGwfX4CvPKxnTQ6ISsf3XNcfWTJ/g//zWd1wMoqPLywsfCgW0W+iFtlLB8Ib2eFTOn8O2iXQ7fe7QysWBGmUKc/tJBOExCViaGPDzVm9aOtszpHk1Vh69mjH/qmNXKWZlwsye9YhJSKLplA00qlICPZ3Mt6ThMQmsP3WDtcevY29rTs/6FWlY6UUvpKaT15OcmpYlnnVftsXWwjjL9L7zd3PqxiMaVCpOc6f0B0F2hcw4cvkBDSuXYI9vAEERsVmWA1i89zwrj16hZrmiTOlSG31duX0Wme04dYnWtSvjVqEktx6GEh4dh6WpEf9bvY9W7pUY1qE+K/Z4Zcy/cu9Ziltb8r+hHYiOS6Tx6F9p4lI+o0v9c+HRcaw9eI41+72xL1qI3i3caOT8ouV5o1G/kpSSmiUezx8GY1sg87Vv4eajdG3imiXpf+6g73VcHe1eOazUwi3HWL73DLUqOTB9YBv0dfPe0LTi9W4FRVKxmOUrPz9/7xlHJrbBxECXwX8eY5xHFaqUsOLC/adM2HiODaObMmGDN6NbVMbDyY6pm3yyrKNVtRL8WcKKH7u6ZTxQr+toi/N3m6jnWJiW1Yrj4WQHwLC/TzC+vTP1yxfJyAt+2OJLDQdrVo9ozDafu4xf782qEY0BeBIex9ZxzUlJU/H5nP2sGt4IcyM9Fuy/wt9HbzCqRdZi3pmbwaw8eZMrgWF8VqMUm8Y2x+afYsK607f54/D1LMs0q1KMb9s6ZZp2LzSaNJWa1rP2kJyaxpceVWlSuRjBUfHYWLw4ZmwtjAiOjE//u3nm6UGRcZnWGRwZn2mewhaGnLkV/Mr/H5F9kZGRVK3mRHx8PM+ePePM6fQHhba2thw6eAA9PT3OnDnD9+PHs3VL5gfcdevWpW3btgDMnPkjS5f+zejRo9LXGxXJWa8zHDlyhGnTf+BwvXosWfIHUdFRXLp4AaVSSUREBNevX2fP3r14nTmNQqGgbbt2eHl54e7unmlbSUlJbNmyhT/+/IukpCQG9O/HtGlTMTJKL2QNHz6C02fOZNm/aVOn0KZN1l4Hr7Jy5Uqm/zCDhIQEjh09kjH92LHjVKlajVKlSjJ3zhxKlHj10GkFCxbky3HjKF7CDm1tbYYMHoy9febC3saNnnTu1OmV6/i8Y0eOHj1Gs2ZNM+J/+PAhf/21lF27d1O8eDEWLVyIjc2LIYouXryInp5eloLRxyYqNoHaw18MgzVraAcM9XR5EBKG9x/fps8Tl4CZkQHzNx3hwK+jX3pdv3L3CeeWfIuBvg5V+vzAF50bc2LBl0z5eyfrj/gyvH192tetmjFc0Oh5G9jrfY3WtSrz+/YT/DzsM8rb2ZKcksqEv3awbvIAzE0Mmb/pCH/uPMmQtnX5ZvEW9s0ehbWFKa2/WYhLufTfzQCPWjj1n0m9qqVpVr08nRu6oKWlpFZFe1q5pzf4mb3+IKv2n2Vou3qZ4h7ari7f92yBSqWi46Q/uXL3MZVKpeeUlqZGHPh1NCqVim9/30p0XCKmRvqsO+zD3JFZf29JyansPHOZ5Xu9SE5JpWczN77v2Rwj/fTv68uFmzh7/V6W5b7v2YKWbhXf6v/rQUg4vv4P+KZ7syyFiFNXAqg17GfsbArw4+B2FLe2pELJwsz1PMKgNnUIi47F72YgT8KiAIiMTaDV1wu4++Qp0/q3oYCZMZcDHlPA1IiB/1uFf2AIdao4MK1/a7S1sj6fHfC/VWhrKenV3I0BHrUzfXbQ98Y/93jpz6vGdW5M+/G/s3jbcVRqNQd+HZ1lfblJMql3sONyCBNaOKBQKGjmaMXe60/p7loYn8AoxjS0A6BtFWtm7k9/4Hnidjg3Q+PYeD79xiI+OY3g6CRKWL54aBkcnYT7z140L2/Fxv7VKGiStdK1e7hLtuL8s3slklNVjPa8zsmAiEy9IabtuYNLCTOcimd9QNe7RlHGNiyJWq1m/I5bLDweyLjGWavZIu9Tq3lta4f65Qph8k/roVO3n3E7JCbLPJcfRrFmYPqDws9dinLq9tM3bve37k5ceRTJsZtPmbbjGlcfRTGsoQPRianUK5teEX/eaunc3TDWDHIDoG3Vwkzc+uKBp0eVwigUCgJCY7j+JIrPFp4GIDlNRU2HrK0kxm+5zNbzj5nduSqLejhn2feuNUrQtcbbjUn7815/hjd0QPc/BUO1Wp1lvQoFqNRZu8j995t/WSe6dxtsR7wttfr133H9slYvjoE7z7gdmvVB5OVHUawekF4Y+My5CKfuvLl4NL9rVa48iuL4rWdM3+XP1cfRDGtQiuiEFOr90yPjeevAc/ciWD0gvaDQpqotE7e/SIo9KtukHwNPY7jxJJrPF58F/jkG7LM+TJiw9Rpbzj9mdqfKLOxeNctvtUv1YnSpXuyN8QP8vP82IxqUynoM8JLv9F8TYhJT8Lkfwe89q710vTtG1MTGTJ8nkQl0XOxNhcKmlLQyequYRN6z7ewtJnepjUKhoIVzKXb7BdCzfkV8bgcxrl16Ubm9Wxl+2Jh+/j5+NRD/x+FsOJVe1ItPSiEoIg67Qi/uR4IiYnEZt5yWzvZs+a49hcyy/j4OTO2SrTiXjWpFcmoaw5cc4MS1QOpXKsH8gY35btVxZm46Q6PKdlnemQXQt1ElvmxXHbUavll5lPm7fPm6g1u2ti0+fluOX2TagNYoFApauldk1+nL9Grhjvf1e3zVrSkAHepXY+qyXQAcPX8T/wfBrDt4DoD4xGSCwiKxs31xbxMUFkXV3tPxqFWJ7f8bTiGLrEMkHJ7/xVvF9+RZJEfO32T7T8NeOUTCtuMX6VDv5eft/h61+bpbM9So+WrBZuZuPMy3PZq/1bZF3qFGnX7T+goNKhTBxCA9Bz3pH8StoKgs81x6EMbaken30p+72XPqZtAbt7ugb12uBIZx9Ppjpm7y5erDcIY3rUhUfDL1y6c/YHqeF3jfCWXdqPSh8Nq6lGT8hnMZ62ntbIdCoeBOcBTXH0XQfvY+AFLS0qhZJmujhu/Xn2WL911+7VWLxf3rZs0LapWma62Xtx7/r5Q0FTceR+A5tikRsUl4zPo/e/cdWOPVB3D8e+/N3ntJJCQkQSKIHXvvVdSuSKyiVOmwR+ttqbaqLU3sXVvs2ltsQZAgyI7sve59/7gk0htKZRjn85c86/zu9Zz7nPOctZe6jhZP61qqxyuKrRcUPbC46TX+rZe68Hqen5ppy5YtjBk7jkN/HyQ7O5tPx4zh+vUgpFIp2dmqs0Q8evSIj3r3ITY2lvT0dNq0bl2wr2sXZc/rOnXqEBYWBsCRo0f4fMIEpE+nDTM2Nmbt2nWcPXuOOp7KekRaWhr37t1TaYioW68+UqmU1atW4u6u2qD222+L3/zLAAYPHszgwYPZtm0bc+bOZdXKldSuXZuwB/fR09Nj7dq1fDLUm6NHDr/wGomJiezes5uwB/fR1tamQ8dOnDhxgqZNmwLKe3/b9u2cPnXyhdfYsnkzOTk5DPnkEw4fPkybNm1IS0vD3NycixcCWbp0KRO/+IJ1a9cWnPNvjRvvi+KmZkpKzSAqPoUvfttCxwY1aPlch4QXqetij5mRsmOOjZkhbeoqG3CqV7Lh4p2HgLKx4tvVe0nNyCYpNQN7K9OChoJnQsJjufkgks5f/QZAbm4+Xu5OhITHUcXWAltzZYNz96YehMcmAsoX+b1b1OHQxWB+33GcY1fv8uekgTyOS2Twtyt5kpxGelY2LWqprpV5/GoIv2w+QnZuHrGJqdx5FFPQENG9ifLZIJVK6dakJjtPXaOJuyM5uXk4V1Rdv63FZwuRSiUs+WIANSqpTke/4NOP/vV7/DfT/HYyfWgnle01HW25vnIaetqabDpykdELN7D7+09p7enKxTsPaTXhJ2xMDanrWlj/MNLT5vTvk4hNTGXQ3OV086pJXl4+l+4+4ofRvahRyZqRC9az7mBgwfoRz/h/OQhrU0MSU9PpNfVPXCpa4eVe2GFxx8mr9GxaWMbbfOwy3p0a4dPZiwOBNxn780Z2zis6nVtpEg0RrykuNYeLj1LwXafs3ZeTL8c5Np0BdW2Kf8uIcvP8Hs40qPTiYZbmehr82qcaawMjGLrmOv08rele07LItBuvOyICQENNSvvq5uy/FVfQELHibDihcRmsHlL8EPDCRhAJfetY8/ORsBfGLbzdqlrps+/Gi3vWaP9jpMvBic1V5g7+r+VhN1sj3GyN8KpixvgNVxjd0umVXro/f4y2hjI+BQrcbI3Y+mnjl547orkTOhpqzAm4ydHbsQxoYE9NO6OC/a8zIuJ6eDJ7g6L4eut1EtJzOBIcy+IBtbE21Obqo8SC46KSs7A0UPY2j07OLNyelEVt+6J5/p89x6OSCs8VSkdVSz32v0YeODDBq5g88N8ygZutIW62hng5mTJ+0zVGt6j8Svmp2DygUF5vy6iXvwAd0awS2hoy5u6+zbE7cfSvX5GadoUveF9nRMT18GT2BUXz9babyjxwO5Zf+3tgZajF1ceFLyeikrOw1C98Bu2/EUNzZ7MXjqR7NjrDxkgbryqm3IxIEQ0R76jY5HQuhEbh/eseALJz83G1NWVQ8xoU8w4GUJaJFnq3opHLi6cKszDU4Y+R7Vh99AaDftrNgGbV6dmwKnrPDUd+3RERABpqMjrWcWTvpfs0d7PHuYIp277qCcC5OxGERKq+oH2+EaR/k+os2Hn+hXELH6bYxFQCbz1g8NwVAOTk5nP7YTSDOzR8aT74eXxfGru9eHoYCyN9/vxyICv3nqX/TH8GtWtArxa1i/R8fNUREUH3IrjzKAb3IbPJz5fzJDmN3lOXsnnuCAAys3M4duUuP31W/Eue5xtBBrSrx/x1B18Yt/D2qmptxL4rj164/1mZ45lDU7uorMXwn8tEFU1xq2hKExdrPlt5ik/b1vgPZSJlvVgBuFc0YdvEDi89d2Tr6uhoqDF760WO3opgoFdVatoXNva9zogIG2NdKhjroqWuhrWxGs7WRjyIS8HaSIerYU8KjotKTMfy6cjpqKcjI55tr12p6NQe1ka6RY6JTMzA0vD11gMQXl3nzp0ZPOQTAH7++RcqOVRi3dq1xMTE0KCh6kK64z4bzzdff0W7du3YuHEj+w8cKNinqan8HZbJZOTnq5ZFnlEoFAz39WX69Gkvje3PpUv4Y8kS+n7cj34ff4y391BsbQunlS2pERHP9OzZkxEjRwGFUyUBDBw4kAmfT3zpuYcOHcLJ0QkTE+W7pU4dO3Lu3PmChohTp05RsWJF7Oxe3vFJQ0OD7t26sWPHTtq0aUOFChXo1atnQXyLfi3a+PLX5s3s27vn9T7oe8JIX4czf0zm0MVgFm87xpHLd5jr2+2l5zw/0lgqlRSsIyGVSJDLlYWTsT9vZNNMX1zsrfjpr0Nk5aiWJxRATSdbAv5XdP2Ja6HhL30eVLG1oIqtBb2b16Hm0DkAfPnHdiZ+3JpWdVzYeuwyhy7dLnJOVk4uXy/dwZFfJmBtasiEX/8qUsZ5fl2HAa3rMfaXTYTHJfJxq7rFxvDLuD4s23Ma73mr6NWsNgPb1qeCuVHB/pIYEXHtXjj9Zy0DlOXBXlOXsv3bkbjYF47m6dvSk2+W7ij4+6sB7flqgLIzR7evf6fyPxaetjDWp7qDDWdu3KNB9Uo4WJni7qisN3VsWINT10NV4nhW5jPW16VrY3eu3H1c0BBRUMYb27vg+LUHzrH7+zEAtKtXnVHFTNlZmkRDxGvafSOWwfUrMKuzsveEQqGg3g9niE/LwdPekICgWHwa27HremzBOU0cjVl9PpK69kbIpBJuRKZSw6ZoryaZVEJnNws6u1nwMCGTdYGRtP31Ak2rmDCvm/Ll0KuOiMjLlxOVko2dsTb5cgWHb8dT01aZ3qHbT9hwMZKtvrWL7fkHEJOSjeXTho0DwU+oaileEL2rmlY1Z27ALbZcfMxHnsrCwMEb0Thbqfaqa+hoyuozYQz1qoRcruBOdCquNga42Rqy/0Y0Hdys2XYpvNh09DTVSM9WPiTSs/O4Hp5EQ0flD2pwVAq2xjroa6ljqKPO8TuxRaZmqlfZlG2XIxjdwomAa5HUsldtsHOy0Cc8MYMbEcnUqGBIenYesSlZVDIv+rKpookOUzpXY3IHF/YHRfPd7lskZuTwbU936lYyea0RETvGFg5nG7f+Mp1r2tDcxYL4tGx+PHCbyR1cSMnK4050KrUqGgFwOyqVqKRM9LXUOBwcw+ftir7YtTLURiqBW5HJVLXUZ/uVcH7qW3zvQ6FkNK1qxtw9t9lyKZyPnq4TcvBmzAvzwJqzD/mksYMyD8Sk4mptgFsFA/bfiKGDmxXbL0cWm46ephppRfJAMg0dlWuqBEelYmusrcwD2uocvxNXZGqmepWM2X45glEtHNl9Pbrgfnqek4Ue4YmZBXkgIzuPmNRslRf4diY6TOnkwuT2VTlwI4bv9t4mKSOXud2rUbeSyWuNiNjxaWFPi882XKNzTSuaO5sTn5bDwoMhTG5XlZSs3CJ5ACDgWhQDG1Qs5oqQkZ2HXKEcDZKcmcu5WIv+HwABAABJREFU+wl4ezm8UjzC2ycgMJRPWrrx7UDlsGqFQkGtCSt4kpJB3SrW7DofwvB2Huw8f7fgnGbV7Vh55Dr1q1ojk0oJehiHm33RlzMyqZSu9arQtV4VwmKTWXP0Bi2mrqdFDXt++KQF8OojIvLy5UQmpFHR3IB8uZy/rz6gVmVlr6knKRmYGeiQly9n0e5LDG+ruiB1dFI6VkbKfLbv8j1cKpiqHCN82HaevIp358bMG9kDUOYDt8GzeZKURv1qDuw4eZWR3Zux/cTVgnOa16rKit2naVCtEjKZlOv3wnF3LLqWlUwmpVsTD7o18SAs6gmr9p2l6ej5tKzjwoIxyl58rzoiol396tzZMBuAh9HxDJm7sqARAuBgYDANa1RGX6f4zhHR8clYPa3k7j1zo0gFW3h3NHO1Yc7Wi2w+d4/eDZSNYAeuPcLZRrXs3aiqFatO3MG7uStyuYLbkYlUszXBvaIJ+64+omMte7YFqnbuAeXohrSsXADSsnIJehRPw6rKeyY4PBFbEz30tTUw0tHk2K2IIlMz1XeyYGvgPT5t60bApTBqV1IdAV3FypDH8ekEPY7Hzc6U9OxcYpIzqWxRdDraimb6TO3pyZdda7P/2iPmbrtEUkY2335cn3qOlq81IqJdTTtmbbnAmHZupGblcDc6iYqm+lQ01WfB7qt82a02KZk53I5MoraD8pl2OzKRqMR09LU1OHQjnImdPYpc08pIB5lUws3wBJytjdh+4T4/DX55pyvhvztz5gyVKyunZkxJScHJSTnDxZo1a4s9PiUlBVtbW+RyOes3bCh48f4irVu15k8/Pxo1alQwNVPLli3o+3E/xo4dg7GxMeHh4Whra2NqWrQs0aBBAxo0aEBSUhKrV6+hc5eu2NpWYPmyZVhYWJTIiIjQ0NCC9Sb+/vtvKlZUltVjYmKwtFSWiw4cOFDwHb2InZ0dZ86eJSsrC3V1dY4dP8ZwX9+C/S8buZCXl0d4eDgODg7k5+ezZ+9e6j4dLdK1SxeOHj1Kv379OHbsGK6uhb3+L126hKGh4QvXv3jfxSenoa6mRvcmHliZGDBvrXI0mL6OFmmZWS+ccvHfZGTlYGmiT1ZOLjtPXaNdPeU6b3ramqRlKkcJVbW14HFMItfvReDuWIH0rGxiElKoamfB3fBYIuKSsDTRZ+fJq9RxVr5nORh4izZ1XZFIJNwMi8LOQvmMSc3IwsbMELlczuZjlwvWkXhGuY4bmBrokpiazt8XgvF0cSg29ko2ZsjlCtYdPM+JxV8Ue0xdVwfqujqQlJbJxsMX6DvTjwpmRiye8DHmRvolMiLi2orCRsZOkxczf3QvXOytiE1MLejEcfjSbRyslXk+Lz+ftIxsjPR1OHfzPjm5ebjaWxObmIqWhjoGulqkpGdx5sY9vDs3xsrEEDNDXcKi43GwMuXU9VCq2hUd/ZGXn09yWiamhnpk5eRy+PJtxvVqWbD/4AXVMl4Fc2OOX71Lr+a1uRAcRgUzozf+Ll6HaIh4TQFBsUx6bpoiiURCaxcz9tyM4/NWDozccJMtV6Jp6WyKvqayV8mg+hV4mJhJm0WBKIDKZjosG/jixRDtTbT5pr0jk9pU4njI668wn6+A0Rtukp6TjwJo4GDE4PrKFrTpASHkyuX0+FM5RLGLmwWftXBg9XnlmhaD61dg7r5QbkYppydxttTlhx7/PvRLeDtJJBJWDKvHN1uDWHDgDhoyKe62hnzbS3U0zHe93Ji8+Rqrz4SRJ5fTx9MOVxsD5nR3Y9Saiyw6dLdgoet/6luvIp+tv4yBtjqbRzVi0aEQJv11DU01KUY6Gszvo3y5s3hAbb746xqzdt1EU03KltGN+aKdM59tuMLmC48LFqv+Jw01KUsGe/LVlmukZyt7nUzrUk2lIeIZdZmULh42dPGw4eGTdNKLad3/r0z1NBnZ3InWPx5HKoFZ3aoXNOrN7FadXr+fRq6AT1s4YaKrbLXv/+dZFvb1wMpQm3m93Bm5+hLZefl89PQ7FkqPRCJhxVBPpmy7wY8HQtBQk+Jma8i3lVUrE9/2qM7kLUGsPvuIPLmC3nUq4GptwOzu1Ri99iq/HrlHc2fVCjFAn7q2jN94DQNtdf4aUZ9fj9xj0uYgtNRlGOmo88NHyt/8X/t7MGlzELMDgtFUl7F5ZH0mtq3K+I3X2HwpomCx6n/SUJOyZGAtvt56g/QcZR6Y2tnlhSMJ1GVSOte0pnNNax7GZxQ0FJYEUz0NRjSrTJuFJ5FKJMzsWq0gD6Rk5nLlURL+Q+oUOWeAXyA/9nEnO0+O94qLAMgVMKyJQ7GNQsK7Ycf5EL7qVThKRyKR0NajEgEXQpnUoz4+i/ex6XQwrWs6FEz3MaSlG2GxKTSfsh6FAhytjVj1WecXpuFgYci0vo35qlcDjt54cU/eF8mXyxn++z7Ss3JRKKChiw2fPF2QetOp26w+GoQCGNisOs2frkGx4vB1AIa2cmfWxlPceKicktDF1pSF3i2LTUf4cG0/cZVvBhf2zJZIJLSvX51dp67x5cD2DP1uFRsPXaRNXdeCSuDQjo0Ii4qnyej5KBQKHG0tWDvd+4VpOFibMcO7C98M7siRf/QgLAk7TlyhR1OPItuW71ZOp+bduTHTlwVw456yruDqYMVP4/qWeAxC6ZNIJKwa3YqvN5xjfsAVNNVkuFU0ZV4/1SktvuvXgElrz7Dq+B3y5XL6NHCimq0Jc/vWZ6T/cRbtu07z6sWPbOvb0IlxK09iqK3Bls/b88u+60xccwZNdRnGuhosGKjsff6bd1MmrjnNzC0X0FKTseXz9kzqUotxK0/y19l7BYtV/5OGmow/hzfjy3VnC8o3M3p5qjREPKOuJqVLHQe61HEgLC6V9Ozc1/7uXGyMqe9kSdNZ25FJJHzVrTam+sr8PKpNDVrO2YlUImF273oFZaJZH9Wjx4/7kSsUjGnnhome8vh+iw7y02AvrIx0mNevASP9jpOVm0/vBo5Us335y27h9TxbI0KhUKCmpsafS5cAMHLkCHp91Jt169fTulWrYs+dNnUKXbp2w87Ojpru7qSkprw0reHDfbl9+zZu7jVRU1NjxvRp9OzZky8nT6J5i5bI5XL09fXZuGG9SkPEM0ZGRowbN5Zx48ZyppgREK/iwIEDDPPxJS4ujtZt2tKiRXM2rF/P+vUb2LhpExoaGhgZGbFyxXJA2XCwZOlS1NXVMTQ0ZMXyZQXXql7DjaioKHJzc9m4aRMXLwTSoEEDOnboQK3adZBKpbRq2bJgVIZcLmf7jh1cCCw6etTHx5eRI0fg5uZGv/4DSEtLQ6FQ0LRJE0aOVDaKf/31V/Tr3595//seExOTgviexdind28+BP9cI2Jg2/o0dnNk9I8bkCsUqMmkzBvRHYDB7RvQ5cvfqWpnybqXlCFeZFK/tjQft5CKliYF0x8B9G9Tj9E/rsdQT5vDP09g+VeD+eK3LQWNE7OHdaGyjTnfj+xBt69/x9xYH7fnOlNsOHyBb/7cgZamOtoa6vz2eT9lev3b8vFMfyqYGVOjsg2pGUXXGDTS06ZPyzo0HPUDDlamBWtOvEiPph4cv3oXE4OXd5w20tNmZLemjOzWlPPFjIB4FYcv3WbsTxt5kpxG92/+oIm7E8u+GvzC47efuMKKvWdQU5NhoKPNbxOU30F2bh7tJi4CwMxIjz8m9geUU2iO+XkjCoWyQ4tvlyYF00l9N7w7g+euIC9fTo3KNgxpr+wsOPbnjXh3bETVipb0nLqU3Lx85HI53Zt6FEzFBcppmXo08SgS3xyfrnz2yyYW/nUYDTUZv4wr22nPJIriJjB8D1y+fJk6deqwf0xd3CuUzUuOrNx81GVSZFIJAUGx7Loeg9+AFzc4fKiuR6TSfvEFLl26RO3aqi+dhdfz7F4/+Hkz3J+bhkh4d11/nETbhcdFHnkNz/LBgQleuNu+eHFq4d1xPTyZdj+dEvngDTzLF4fn9KOmQ/ENyaUlKycPdTUpMqmUnedD2HH+LivGqc6hKhR1LSyWVtM2iPu+FDzLD8cWT8SjyquNDHtTWTm5qMtkyGRSdpy4yrbjV1g9bWiZpP0uuRrymOZjfhT3fQl5dq8fmtIFd/viO1AI75brD5/Q+tsAkUf+4dm9funiBfG9fOAuX75MHc+6b30eKSiL/Po5Hk5lUxZ5X41YsI4eTTxoX796eYfy3roa+pjmYxeWeL4SIyJK0OPELEZvvIlcoUBfS42fern++0mCIAiCIAjvmcdPUhj++37y5XIMtDVZNLxNeYckCGXuUXQCw/63mny5HEMdbX6b2K+8QxIEQRAEQXinNRz5PbbmxrStK965votEQ0QJqmKhy9/j6pV3GIIgCIIgCOWqio0JR+f2L+8wBKFcVa1oycnfJ5V3GIIgCIIgCO+Ns0u+LO8QhDcgGiLKyaZLUdyOSWNGx7JbcMd7zXXO3k/Cy8m4yJRR9b4/g76WDIlEgpW+JmuHFp2f3HddEI8Ts9g/RrmQ0Ij1N7j3JAOAhPQcatoasGKQ6poDgvBvNgY+4nZUCjO71SizNIcuP8+Z0Hi8qpixbGhhw2HP306TlJFDXr6CbrUqMPHpQtPdFp0sWIQ4KjmLXnVsmdPDjeGrLnAvVrmWSnx6Dh52RqwcVr/MPofwftoU+Jjb0anM6FqtzNJcevw+688/RgE0rWLGnO7VkEgk9Pr9LEkZueTJFXTzsOHztsrn1U9/h7D23CMyc/K5NadtmcUpvL82nLhFcHg8s/s3KbM0B/+8m9PB4TStbqcyZZRcrqDdrE3YmuoX7Os8ZzNpWTkARCWm81EjZ74d2AyFQsHMjafYd/k+MqmEL3s2oHv9qmX2OYT307qD5wkOi2bu8G5lmm5GVg71fOfRvYlHkbTlcjmtP/sZWwvjgqmljl+9y9Q/dyKXK7Aw1mf514Mx/pd5mgXhdWw8E0JwRCKzepddR78hvx/mzN1omrhYs3xk4ZpAdb7ejJ6WOlKJBCsjbTaMU5Z/HsSmMNzvGMkZOTR1tWH+gIZIJJIyi1d4/61cuZIbN26yYMH8fz+4hDx48ADvYT7ExMQgk8k4d/YMurq6rFu3jnn/+x6FQsEnQ4YwaZJykeD+AwZw6dJl1NXV6dK5M/PmfVdmsQrvv3V/BxIcFsVc37IrEw2YvZxTQaE0q1mF1VOV5Z7UjCw6TPq14JhH0Ql8NbA9o3s04+jlO0xbtou8vHxa1HZm3ogeZRbru0g0RHxAhjWy42NPGzZfjlLZt2tkHXQ1VW+H4yEJSP9RmFrav/Cl8ZhNN2niJBbVEt4dw5pUpl89ezZdKLro6aph9dDXUidfrqDropO0rW6Jm60RO8cVvhjruugk7d2sAfhzSN2C7Z+uvUSTquZl8wEEoQQ9SctmxemHHJvUFHWZlB6/neXSwyQ8HYxZ6e1ZkCe6LT5Dm2oWuNka0sLZnP717Wgx/0R5hy8I/5lv25r0b1qNTaeCVfatPX6TiuYGyOWFy6jtnla4SGKnOX/RoY5jwbGpmTkEzh+CQqEgIS1L5XqC8K74ccPfeDqrLg65Zv957K1MyH8uT3z9x3ZWTf2EKnaWzPDfxYq9Z/j8YzEFm/Bu821Zjf6Nq7DpbKjKvj1fdkJPS73IttlbLzKpSy3autsx5PfD/B0UTlt3Me+78G77ZKg3c+fMpkmTJiQkJKCpqcmTJ0+YNn0Gly5ewNDQkK7dutG1axecnZ0ZPGgQ69etIy8vjzZt23HkyBFatmz57wkJwltqRLcmDGxbjw2HLhRs09fR4tRvylGuCoUCt0/m0LFhDeRyOWN/2cSeH8Zgb2nC579u5sil27Ss41Je4b/1REPEc9Kz8/Bdd4PoFOVq8NM7OtG8qimTtt3mekQq2XlyhjSowNCGyhXhq885Se9aVpy6n4itkRajmlTkuwP3iEvNYVGfanjaG7Lg0H0eJ2QRnpRFTEo2Uzo40aF60ReWcak5TN5xm6jkbDTVpCzo6UIVC112XIth4eEHaMik2BprsXLwm406aOxozJn7ia98fG6+nF+PhTGnS1UmbFGtqGfnyTkWksC3XUXPv/dJenYePisvEJWcCcCMrjVo4WLBF5uucj08iaxcOZ94OeDtVRmAalP30dvTjlMhcdia6DCquRPf7blFbGo2iwfUxtPBhPn7b/MoPoPwxAxiUrKY1qU6HZ6+0H8mLjWLSX9dIzIpEy11GT/29aCKpT47Lofz44E7qKtJsTPRYdUbjjrwqmLO6dAnKtv1n1YscvLk5ObLVXozRSVl8ighg4aVTYtsz87L5+jtWL7rJUYFva/Ss/PwWXWZ6GTlC8bpXVxp4WLOF5uvcz08mexcOZ80smeolwMA1aYdpLenLadD47E11mZk88p8t+c2canZ/NrfA08HYxYcuMujhAzCEzOJSc5mamcXOrhZFUk3LjWbSZuDiErOQlNNyo993KliqceOK5H8ePAuGjJlnljp7flGny9PriA7Tw4of/fN9DSA5/JEvpycfDnPsoRHRaM3Sk94N6Rl5eC9aC9RicqRX7P6NaGluz0Tlh3mWlgs2bl5eLdyZ1gb5SjKqqOW0sfLlVO3HmNrZsCnHWsz96/TxCZl8PvIdtStYs33287xKC6Fx09SiE5KZ2ZfLzp6OhZJNzY5nYnLjxCZmIaWuoyfh7Wmio0J287eYf6O82jIZNiZG7B2Qpc3+nxNqtlxKjhcZXtiWhbbz91hQte6rDgcpLI/KiGNh3EpNHKuAMCqI0GsHt8ZAIlEgqm+9hvFJby90jKzGTJnBVHxyQDM8e1KK09XPvt5E1dDHpOdk8ewLo3x7arswFC59xQ+bu3Jiash2FmYMPajFsxesZuYhFSWTh5AvWqVmLdmHw+jE3gcm0B0fAqzfLrQuVHR8kRsYirjf9lE5JNktDTUWDT+Y6pWtGTrsct8v3Y/6mpqVLQ0YcMsnzf6fPci4rj7OIb2DaoTHBZdsD0xJZ2txy8z8eM2LNt9uvAEifI7AUjPyqFqRcs3Sl94N6Rl5TJs6VGiE9MBmNG7Hi2rV2DimtNcexhPdm4+nzR3YVgL5bzdLhPW07uhE6duR2FnqsvotjWYu+0SsSmZ/ObdlLqOFvyw6wqP4lMJj08nOimD6b086ViraINYbEomX6w5Q1RSOppqMn4a3Jgq1kZsD7zPgt1XUVeTUtFUj9Wftn6jz+flYs3pO6qd9oqjUCi4eD+W5SNbANCnoRMHrj0SDREfgLS0ND7q3ZuIiEgAFsz/gXbt2jF8+AguXb5MVlYWo0eN4tNPRwNgZm7B4EGDOHL0KPb2Ffli4kS+/mYK0dHRrFm9ioYNGzJz5iwehD3g4cNHREZG8sP3/6N79+5F0o2JiWHEyJGEh0egpaWFv9+fuLi4sHHjRmbNnoOGhgYODvbs3LHjP3+2mzdvoq6uTpMmymeZiYmy0+n9+/epVs0VY2NjAJo1bcb27Tv46qsvad++PQBqamq41ahBRETEf05feDekZWYz5NuVhWUin660quPCZ79s4mpoONk5uQzr7IVvFy8AKvedysetPDlx7WmZqFdzZq/YQ0xiKksnDaCeqwPz1u7nYXQ8j2MTiU5IYZZ3Fzo3ciuSbmxiKuN//YvIJ0loqauzaHxfqto9LROtP1BYJpox7I0+X9OaVTh5XbVB+pnA4DAsjfVxsDIlLikVfW1N7C2VeaWpRxUCzlwXDREvIRoinnMsJAFjHXXWe3ugUChIy84H4Jv2jhjrqJOTJ6fzHxfp6m6Bqa4GiRm5tHE1Y2bnKny87ArLz4azfXhtjocksPj4w4KGg7ux6ewcWYe4tBy6LblE86pFRxBM332XCS0dcK9gwNXHKczYHcJ6bw8WHQ1j5WB3KpvpkJKVpxJvcHQaY/+6pbK9uOmVXkYigR5/XkZNKuHTZvZ0qmEBwNJTj+ld2xo9TVmx5x25E0+dioYYaqsXu194Nx29HYuxjgYbRjR8mg+U996UztUw1tUgJ09Op59P0M2jAqZ6miSk59CmuiWzuteg7x9nWH7qPjvGeHHsTiy/Hg4paDi4G5NKwLgmxKVm03XRSZo7WxRJd9r2G0xo60xNOyOuPEpk+o4bbBjRkJ8P3WWVT30qm+uRkpmrEm9wZApj1l1S2W5pqMX64Q1f67N3/uUEwVEpfNK4EjUqGBbZF3Atkk7u1kilRRsojgTH4ulgIvLBe+zonTiMddTZMLxe0TzRyQVjnad5YtFpunrYYKqnfDa0rW7BrG7V6Lv0PCtOhbHj04YcuxvH4iP3ChoO7saksWtMI2WeWHyG5i5FG6mn77jFhDZVqGlnyNVHSUzfeYsNw+vxy6FQVnnXpbK5bvF5IiqFseuvqWy3NNBknW/R6Q3M9DQZ1awSnnOOoCaVMKhRRRzMCqfW6LLoNMHRqXzSyF4lTwjvt6NBDzHW0+Kvyd2V9/3TaYmm922MsZ4WOXn5tJu5ie4NqmKqr01CWhbtalVi7oCmfPT9dvz/vkbAlN4cvfGQX3ZfLGg4uBMRz97pfYhLzqDjnL9o4V70ZdOUtSeY2L0eHpUsuXw/milrT/DX5O78tOsCayd0wdHKmJSMbJV4bz1+wuglB1S2WxnpsnFS91f+3N9uPsPE7i9u8N4ZGEIXT6eCZ0FkQhprjt3k4NUH2Jrq88OQFlgaielp3keHL97GxECXrd+NRKFQkPr0Ppzp3RljA11ycvNoPf5nejarhamhHgkp6bSvX4PvRvSgx9d/4LfrJHsXjOXIpTv8tOlwQcPBnUfRHFj4GbGJqbT//Bda/aPi+vWSbUwe0A6PKnZcvvOIr5dsZ+t3I/lxw99smOWLYwVzktMzVeK9+SCSET+sVdlubWrI5rkjVLZP/XMnc3y7cv7WgyLb56zcw6T+qtPwLRzbm15TlqKhJqOStRnfj+r56l+m8M46ejMCY11NNn3W9umzQVkOmdrTE2NdTXLy8ukwbzfdPSthqq9FQno27dztmNOnHr1/OsCyo8HsmtSRY7ci+HX/9YKGg7uRyez+siNxKZl0/n4vLapXKJLutE3nmdi5JjXtzbgSFsfUvwLZ9Flbft57jTWftqKypSEpGTkq8d4KT+DT5SdVtj8/vdKrkADd5u9FTSZlTDs3utRxICEtG2NdzYLOSzbGOkQnZbzyNYV314EDBzA1NWX/vn3K50FqKgD/+988TExMyMnJoUHDRvTt2wczMzPi4+Pp0qUzCxf+SNt27Vj822+cOH6MgwcP8r/vvy9oOLh1K5jTp04SExNDY68mtGvXrki64ydMYNrUqdSpU4cLFy4wfsIE9u/bx7ffzWPXzh1UqVKF5ORklXiDgoIYNHiIynYbG2v27tlTZFtISAh6erp07daN8PAIPurVi2+++RonJyeCgm4QERGBmZkZe/fto0b16kXOTUlJYc/evQVTNgnvr8OXbmOir8PWuSNUy0T6T8tEE36mZ1OP58pE1flueHd6fPMHfgGn2Dt/DEcu3+Gnvw4XNBzceRTDgR/HEZuUSvuJi2hVx7lIul8v3c7kfm0Ly0RLd7B17gh+3HSIDTN8Xl4mWrBOZbu1iSGb5wx/7c+//cRVejStBYCZoR5pmdncfBCJq70Ve8/eKDYGoZBoiHiOi6UeM3aHMGdfKB2qmeNpr3zpsv1qDBsuRiJXKIhIyubBk0xMdTXQ1ZDR2NG44FxHcx2kUgmu1nqEJxYOze9Q3RwNNSkVjLRwMtfhXlzRAsrp+4mExKkWWuraG/Ll9tt097Cicw3VaV9crfQ4VAKLY+8cWQcrA00ik7Po43eFalZ6aKnLOBGSwKZhHoQnFT/NQEBQLN3cLIrdJ7y7XK0NmLHjBrN33aSjuzWeDsqGs22Xw9lw/hH5cgURiRk8eJKOqZ4mupoyvKoo708XawMcLfSQSiVUszHgcULhfd3RzVqZD4y1cbLQ415cWpF0T4U8ISQmVSWeeg6mTPrrGj3r2NK5po1qvDYGHJ7UokQ+++7PmpKWlYvPygsER6Xgam1QsG/X1Qimd6mucs6uqxF0q6Ual/D+cLXWZ8bOW8wJCKaDmxWeDsrf/e2XI9lw/jH5CgURiZlP84QGupoyGjuZAeBipY+jha4yT1gXzRMdalgVzROx/8gToU8I+cc2gLqVjJm8JYgetWzoXNNaZb+rtQGHJr7aXPtJGbn8fSuWwKkt0FKXMcAvkLP34mnoqBz5EzCuMWlZefisusTtqFRcrPVf7UsT3nmutmZMXXeCmRtO0cnTkbpVlPfa1rN3WHf8JvlyOeHxqdyPTsJUXxtdLXWaVFP2AnWxNcXJ2lh539uZ8TgupeC6nTwd0VCTUcFUnyrWJoRGFR2peerWY0IiE1TiqVfVmonLj9CrkTNd66qur1XNzoxj3w54o898PSyWpPRsvFxtix0tAbDzfAgz+3kV/J2elYuZvjaHZ/dj5ZEgpq8/ydLR7d8oDuHtVL2SNVOWbme6/y46N3KjXrVKAGw+epk1B84p80RsIvci4jA11ENPW5OmHsp71dXBiiq2FkilUqpXtuFRTOE93rmROxrqathaGFPFzpKQ8Ngi6Z64GsKdRzEq8dSvVonxv/xF7xa16dpEtQNS9Uo2nPpj8it9tj1ngnCyNcfJ1qJIQ8S10HCS0jJpUrMKJ6+FFDnn923H2T5vFDWdbJnuv4uFmw4V22AhvF+q2Roz/a9AZm25QMda9tR1VNYFt52/x7rTIcp6QkI692NTMNXXQldTDS8X5fPDpYIxTpYGymeDrQmP4gvLOB1rVVQ+G0z0cLIyJDSm6MvUk7ejuBul+oK1rpMlX6w9Q896jnSpozqtWDVbE45Of/N5xXd/2QkrIx0iE9Pp+eN+qtuZYKCtoXKcWB/iw+Dm5saEzycyefKX9OjRnYYNlZ3f1q/fwLLly8nPz+fRo0eEhIRgZmaGnp4eLVoo66s1qtfA2bkqUqkUd3d3wsIeFly3R/fuaGhoYGdnh4uLM3fu3CmS7pEjRwkOvq0ST+NGjRgxchT9+33MRx99VGy8V69cfqXPlpuby8mTp7h65TIWFha079CRunU9adOmDb/8/BPde/REQ0ODmu7uqKkVvk5UKBR8MnQoo0eNws5OjAp631V3sGbKnzuYvmwXnRu5U8/VAXhWJjqvLBPFJXIv8klhmajmszKRdWGZqNI/y0RuyjKRuTFVbC0ICY8rku6JayHceVxcmciB8b/+Re/mdejq9YIy0dNpld6UQqFg95nr7P9xHKD83f9z0kA+X7yZ/HwFDapXIj1LtWFcKCQaIp7jaK7DwbH1OHznCdN33+WjWta0cjFl1flwAkZ5YqClRv/lV8nJV05hoaEmLThXIi38WyqBfEXhHKr/LI8UVz45MKYusn/0tP5fd2cuPUrh79tPaPvrBY5NqI+2euHohJIaEWFloAmAjaEWXk4m3IxKQ0tdyt3YdOr/cJZ8uYL49BwGrrhWcN3M3HxOhibwQw/nl11aeAc5Wujx9xfNOXQrmqnbg+jtaUdrV0tWnn7Ans+aYqCtTr+lZwumctFUK7wnJZLn84GkyFzCKvmgmLQPTmyukg++7+3OpYeJHLwZTesFxzjxZUu0NZ7LByU4IgJAT0udxlXMORIcU9AQEZGYSVRSFnUrFR3NlJmTz4m7cczv/er5TXj3OJrr8ffnTTgUHMu0HTfp7WlLK1cLVp55yO6xjZR54s9Acp7mCQ1Z4bNBKgFN2as+G1RzxYEJXqp5olcNLj1M4uCtGNosPMnxyc2KPhteY0TEyZAnVDLTxVhHWZlu7WrB5YdJBQ0RAHpaanhVMePI7VjREPEBcbI25uic/vx9LYxv1h6nr5crrWs6sPzQdfbP6IOBjiZ9fthBdp5y9OjzzwKpRFLwt8qz4B+//sU9Cw7P6YdMKi2ybcEnLbkYGs2BK/dpMXU9p78fhLZGYTG2JEZEXAyN5tzdCGpNWE52bj5pmTlMWHaYn4a1AiAiPpXIxFTqVSlsALQy1qVzXScAOns64nfw6iulJbx7nGwtOPH7JA6cv8lXf2zn49Z1aVvPlWW7T3Hw5/EY6mrT65slZOcqR81pqBfen1KJtOBvqUSCXC4v2KdaPlLNFccXf4FMVjRPLBzXmwvBYew/d5Omoxdw3u8rtDULX4y+zoiIi7fD2HbsCjtOXiU9M4e8vHz0dTQxM9Tj7I37uA2eRXZOHmkZ2Xz28yamfdKJu49iqOmknK62exMP5q3Z9ypfo/COc7Q05PC0rvwdFM7UTefp08CRVm52rDh+m71fdsZAR4O+vxwkp9hnA2g+La9IJBRZh+efZaDi8sGhqV1Ung3zBzTk4v04Dl5/TKs5uzg5q0fRZ0MJjYiwMtIBwMZYlyau1tx8nEDn2vYkpmejUCiQSCREJmZgaSim5/sQVK1alSuXL7Fnzx4+Gz+BwYMG0bFjB37/4w/OnjmNoaEh7Tt0IDtb2UtcU1Oz4FypVFrwt1QqJT8/v2CfSj4opm5w6eIFZLKiM1b88cfvnDt3joCA3dSqXYdbN2+grV14L77OiAhbW1vq1vUsaEzo2KEDV69eo02bNnTv3r1guqi5c78tmKYJYPLkLzExNmHixM9f/MUJ7w0nWwtOLP6CA4G3+GrJdj5u5Unbuq4s232agz99piwTTV36gjKR5CVlon/mAdW0jy+aqFomGtObC7cfsv/8TZqOWcD5pV+qlolKaETE2Zv3sTU3xta88P5vWKMyB378DIBNRy6KRul/IRoinhOdko2Rthq9a1sjk0g4fT+R+pUM0dWQoa8p43FiJoEPVXti/Jv9N58wwqsiT9JzuPckg8pmOtyILOwB0rCSMWvOR/BJQ1vkcgV3YtNxtdLjYUImnvaG1KlowJ4bcSRm5KJtWPjQKYkRERk5+cgVCvQ01UjOzOXcgySGNqyAs6UeV79R9vh7nJiJ77obRRo3jtyJp76DEXrFLHAtvNuikzMx0tGgT92KyKQSToc8oUFlU3Q11dDXUuNRQgbn78czppVqj9SX2RcUxcjmTjxJyyY0Lo3K5noERRTmp4aOpqw+E8ZQr0rKfBCdiquNAQ/jM/B0MKGOvTF7rkWSmJGDtkZhwaokRkSkZuWSlSvHXF+T7Lx8jt+JZXjTwnnLd12NoLOHjcoD5XBwDA0qm6osXCe8X6KTszDSUaePpy0yiYQzofHUr2yifDZoqfE4IYPABwmA479e63n7b8QwslllnqRlcy8uncrmutwIL5on1px9yCeNHZR5IiYVV+tnecKYOvZG7L0eTWJ6DtpGz+WJ1xgRYWOkxcWwRLJy81GXSTlzL56BDSqSmpVLdq4cs4I8EYdv00qv9fmEd1tUYhrGulr09XJFKpFwKjicBlVt0NVSR19bg0dxKZy/G/na19176R6jO9bmSUoGoVGJOFobE/SwsLdTIxdbVh0Jwrt1TeRyBbcj4qlmZ0ZYbDJ1q1jj6WRFwIVQEtMy0TYpbBgriRER3q3d8W6tnFbzVHA4y/6+VtAIAbDjfAhd61Up8ixoX7syp4LD6dXQmdPBEVS1MVG5rvB+iIpPxlhfh35t6iGTSTl5LZSGNSqjq6WJgY4WD6PjOXfzPtDqX6/1vD1nghjTqwVxSWmEhMfiZGvO9XuFI3IauzmxYu8ZfLp4IZfLCX4YTfVKNoRFxVOvWiXqujqw6/Q1ElIyqGBeWOl+nRERM7y7MMNbOX3auoPnCQ6L5suBypE9w57O73zyWgh+u07xy/i+5OXn8yQ5jbDoeBysTDl+9S5OtmKU9IcgOikDI10N+jZ0UtYT7kRRv4oVuprq6Gur8+hJKudDYwC3f73W8/ZdecioNtV5kprFvZhkHC0NuPE4vmB/o6pWrDpxB+/mrspnQ2Qi1WxNCItLpa6jBZ6Vzdl9OYzE9OwiDRElMSIiPTsXhULZWSk5I5tzd2MY1sIViURCncrmBQtU/3U2lP6NX69+JLybIiMjMTExYfDgwchkMo4ePUaTJl7o6elhYGBAWFgYp06dhi9f77o7du5k4sTPiY2N5c6du8oGjytXCvY3a9aUpUv/ZPToUcjlcm7evImbmxv379+nYcOGNGjQgK3bthEfH4+trW3Bea8zIqJu3brExMSSmJiIoaEhJ06eYMRw5Yva2NhYLCwsiI6OZtNff3H82FEAlixZwtVrV1UaNYT3V0GZqHVdZFIpJ6+HKMtE2k/LRDEJ/61MdDaIMT2bK8tEEXE4VTDn+r3CNUcauzmyYt8ZfDoXUyZydaCuiz27Tr2gTFRCIyKU0zJ5FNkWl5SKuZE+aZnZ/LnrJH9M7F8iab2vxFvk59yOTmP23lCkUgnaalJ+7OVKVUtdHM10aPFzIJXNtKlT0eDfL/QPNWz06Lf8KjEp2czuXLVIz1WAuV2q8uWO26wJjCBPruCjWla4Wukxe28oYfGZKIDONcyxMdR6o8/Xb/lVgiJTycjJp8680ywb6IaxrjrD1igXY5QrFAxrZIuzpd6/XmvX9Vi6uIsKx/soOCqVWbtuIJNI0FKXsfBjD5ytDHAy16PZ90dxtNAtmK7pdbhVMKLvkjPEpGQxt4dbkVENAN/1cmPy5musPhNGnlxOH087XG0MmLXrBg+epKNQQOeaNtgYvVlPo4+XnOF6eDKZOfnUmnmA5d71sNDXYujy8+TmK5ArFHRyt6FtjcKFg3ddjeDbnqoVql1XI+jiUUFlu/B+CY5KZXZAMDKpBC115aLRzlb6OFro0Xz+CSqb6+Jpb/zvF/qHGhUM+PjP88QkZzOnWzWVZ8O3PaozeUsQq88+Ik+uoHedCrhaGzArIJiwJxkoUNDJ3eqN8kQde2NauprTZuFJpBIJTaqY0a66JZFJWXivvERuvlyZJ9ysaVtduRDpggN3WX/+McmZudSefZjRLSrj00Q0Urxvgh/HM2PDSeV9r6HGLz6tca6gnHLJ6+u1OFoZ4+lk9e8X+gc3B3M++n470UnpfDewWZEXRgDzBjfjixVHWXkkiLx8BX29XKhmZ8aMDad4EJOEQgFd61XBxuTNRuf0/mE718PiyMjOxW3cMlaN70Ttyi//PDvP32XeoOZFto3vUpfhv+/jl4ALGOlqsXi4mJrmfXXrQSTT/HYp6wma6vw6oR8u9lY42VnQcPj3ONqaU/fp1ASvw93Rlh7f/EF0fAr/G9WjSA8+gB8+7cWERX+xfM9p8vPlfNy6LtUr2TDVbycPIp+gUCjo5uVBBXOjkvmgr0BNJuPHsR/Rb7ofUqkUGzND/vjizRoChXfDrYhEZm0ORCqVoqUh4+fBXjjbGOFoaUjTmTuobGmAZ+XXryPWqGhKn58PEp2Uwdy+9VWeDd/1a8CktWdYdfwO+XI5fRo4Uc3WhJlbLhAWm4IC6FLbARvjN1ujp8/PBwh6FE9Gdh41J29i5eiWGOtq8ckfhwFQyBX4tHTFxUZZ7pve05PhfseZsvE8TV2taeMmpqT5EAQFBfHFpMnIZDK0tbVZ5u9HtWrVcHauSg03d6pWrULDhg1e+7q1PDxo2649kZGR/PLzT0VGNQD8umgRI0eNYsnSpeTl5TF40CDc3Nz4YtIkQkPvoVAo+KhXryKNEK9LTU2N776dS9NmzVEoFLRt04bOnTsD8OmYMdy8eQuZTMaC+T8ULGQ9Zuw4KlWqRN16yjW2Phs3lqFDh/7nGIS3362wKKb5Py0Taajz6/iPlWUiW3MajvwexwoW/7FMVIEeU5YQnZDC/0YUUyYa1YsJv25m+Z4zT8tEnsoykf8uHkQ9KxPVfOMyUc8pS7gWGk5Gdg7VBs5k7TRvajtXRC6Xs+dMEEcWTShy/MJNhzh8STlt2ud9W1PVzvKN0n/fSRSK5+aJeI9cvnyZOnXqsH9MXdwrlN9UEgsO3cdERwPvRv/9YfC+uR6RSvvFF7h06RK1a9cu73Deec/u9YOfN8Pdzqi8wynW/P23MdHVYFiTyuUdyjvh+uMk2i48LvLIa3iWDw5M8MLd9u1fVHnBgbuY6Grg7eVQ3qG8ta6HJ9Pup1MiH7yBZ/ni8Jx+1HQo/84D3287h6m+Nj5txHR2L3ItLJZW0zaI+74UPMsPxxZPxKPK2/GycN6afZga6DG826uNYntfXQ15TPMxP4r7voQ8u9cPTemCu71ZeYfzr37YdQVTPU2GtaxW3qG8ta4/fELrbwNEHvmHZ/f6pYsX3vnvZebMWZiZmTFmzKflHco76fLly9TxrPvW55GCssivn+Ph9HaURd4W89bux9RAl+FdP+wy0dvkauhjmo9dWOL5SvrvhwiCIAiCIAiCIAiCIAiCIAiCIPw3YmqmUvZFa9EDXBAmtXcp7xAE4a3yRbuq5R2CIJS5L3u+/jQFgvA++3pQh/IOQRDK3eSutco7BEEodzNnzijvEAShXH39dG0q4f0nRkQIgiAIgiAIgiAIgiAIgiAIglBqREOEIAiCIAiCIAiCIAiCIAiCIAilRkzN9Ao2XYridkwaMzpWKdN07aYcxdlSlx0jaqOnqYb3muucvZ+El5MxfgPcihwrlyvo/MdFKhhpFezrvvQSadn5AESnZNOzpiWzu1TlZlQqX26/Q1aeHB0NGb/2qYa9ifZLYzkeksDsvSHIFVDVQpel/WsAMHN3CMdDE5BKYEanKjR1MiFfrqDd4guExKZza1oTdDXFbfau2hj4iNtRKczsVqNM060wcRcuVvrsHOuFnpY6Q5ef50xoPF5VzFg2tB4AGTl5+Ky8wKP4DGRSCYMaOuDTVDkV2qdrLxEclYJcoaBeJVP+18sdqVTC8FUXuBebBkB8eg4edkasHFb/hXE8Ssjg0zWXuB6exPSu1VUW245JzqLxvMN83cm1YN/Bm9HM2nkDuQLGtKrCgAb2AHy85AyBDxLYM74prtYGJf6dCWVvU+BjbkenMqNr2S6uaDtpLy5W+uz4tCHRKVmMXHOlYN+92DR+H1iLDm5WJKTn8Pmm64TGpiGVSljt7YmDmS4//R3C2nOPyMzJ59actv+a3u9H77HtciQAWbn5xKVmc+fbdgAsPBjC5ovhaKhJ+fnjmtSqaEREYiZDll8kMinzla4vvP02nLhFcHg8s/uX7eJxlkMW4WprSsDU3uhrazD4592cDg6naXU7VozrVHDc5JVH2RUYQgUzfQ7P7lewPSsnjy9WHOFCaBRSqYSfvFvRwLkCa47dYNHuizyISSbMbxR6WhovjePcnQi+XHUMiQTUZFK+G9iMelVtSMvKYdBPAVy+F8OQlm5Fvp9nsQPUrGTJLz6tAej9w3YC70axf0YfXO3e/kVkheKtO3ie4LBo5g7vVqbpmnb4HFcHK/b9OA6Arl/+Rm5ePnK5ghHdmjKkY0MAvli8hR0nrmJrYcyxxRMLzp+//iCr9p4hIzuX+5u//df0Lt1+yMTFW7hxP4K104fRvkF1AM7euM8Xi7cgkYC6moz/jexJ/eqVOHE1hG+Wbi84/1ZYFMcWT6S6gw3NxizgzqMYHmz5Dj1tzZL8WoS3wMYzIQRHJDKrd70yTdd65EpcbIwJmNwRPS11hvx+mDN3o2niYs3ykS0ByMjOY9jSIzyMS0NNJmFwU2d8ni6M3X3BPmKTM9FUlwFwdPrL8/Tmc/dYvP86SCSY6Wvx69Am2BjrcvpOFEN+P4KdqR4AQ5o580kzFyIS0hi4+DBRienc/ql/KX4TQnlYuXIlN27cZMGC+WWarpq6BjVq1ODkieMAtGzVmtzcXPLz8xk3dgy+vr4Fx8rlcho0bETFinZs2bwZgCNHjjDxi0nI5XIsLS3YuGEDJiYmL0xv8+bNzJn7LVKpFD09Pfz9/sTFpXDq5WvXrlHHsy47tm+jc+fOBdujoqJwdnHlu2+/ZcyYT8nPz6eOZ11u3bpFQvwT9PT0SvqrEcrZur8DCQ6LYq5vGZePOk1Ulo/mj0VfR4sBs5dzKiiUZjWrsHrqUAAysnIY8u1KwqLjUZNJ+aRDQ0Z0awpAp8mLiU1MRVND+e7y1G+TXpreur8DmbEsACtT5XudbwZ1oGODwndmQfcjaD52Ieume9O+fnXC4xL5eKY/kU+Sub9pbml8Be8U8Yb4LWagpcahcYWFuWGN7PjY04bNl6NUjt1wMRI7Y23kCkXBth0j6hT8u9uSS7Svbg7A9wfv80XrSjSvasqqc+H8dvwhP/R48Rz+SZm5zNwTwkZvDywNNHmSlgPAweAn3H+SweFx9UjJzqP/8qs0rmyMTCrh0Lh61Pv+zBt/B8KHyVBbncOTWhT8PaxJZfrVs2fThUdFjhvTsgqNnMxIz86j/cLjtHK1oJK5Hv/7yB19LXUAhq+6wP4bUXR0t+HPIXULzv107SWaVDV/aRz6mmrM6l6dAzeii90/d/ctmjkXXiMvX87MnTfYOrox+lpqtPnxOB3drDHW1WDjyEb0WHzqtb8LQfgnAy01Dk1UvvB00tIr+Hd6dh515x6hWVXly81pO27S1cOanrUrkJGTD0+fDy2czelf344W80+8UnqjWzgyuoUjAOvOPSLwQSIAwVEpHA6O5eSXzbgdncoXm4PYP96LCsbaHJrYhGrTDpbo5xY+PIY6mhz7dkDB375ta9K/aTU2nQouclyvRs70b1aNiSuOFNm+cGcgjtZGLB7Rlty8fDKy8wCo42jFlsk96D5v6yvF4e5gwZG5/ZBJpdyJiGf4b/s5/t0A1GVSJvVowO3weMJik18a+zObJ/eg67dbXildQfgnQz1tTv0xGYD8fDl75o9FR0uDjKwcGo74ni5e7pgY6PJRi9oMbFef8b/8VeT8VnVcGNSuPo1G/vBK6VmZGrJoQl9+23qsyPaaTrac+O0LZDIptx9GM2zeak4vmUxTjyoF8T2IfEK3r37H3dEWgFN/TMZt8Kw3/AYEoShDbY0ijQe+LavRv3EVNp0NLXLc2HbuNHK2Ij07l7bfBtCyhi2VLZQvkJaNbIFrBeNXSs/BXJ+AyZ0w0NFg7cm7fLv9Er95K19kNXUtbPx4poKJHkend8Nlwvo3+ZiCUISRkRFXr1wGID8/n+PHjqKjo0NGRgY13Nzp2bMnpqbKzhDLli2jUiUH8vPzC87/bPwEtmz+C2dnZ7788iuWLv2Tr7/+6oXpdejQgY8++giJRMLevXv58quv2LljBwAKhYKvv/mGNm1aq5z31ddfF9kuk8m4euUyDpXEOqpCyTLU0y7SeDCiWxMGtq3HhkMXihz3We+WeLk7kZ6VTYtxC2lT15XKNsr3OaumfEI1B+tXTvPjVp7FNrgoFApmr9hDi9qFa0Lamhtz6rdJVO479XU/2nvpg5yaac6+UDZejCz4e/yWW/wd/ISw+Ay6L71E218D6fz7RUJi01XOHb9ZeSwoX/o8e9mely9nWsBdOv52gdaLAtl3M67E427saIyepkxle2JGLjuvxzKwnk2x50UlZ/M4MZMGDkYASCSSgpESadn5WOi/vCfg9qsxdHO3wNJA2XvJTE95fEhsOg0rGyOVSjDSVsdUV4Or4Sn/9eMJZWD2rptsOP+w4O/PNlzm4M1owp6k023RSdosOEbHn09wNyZV5dxx65XHgvLe95ytfMmYly9n6rYg2v90nFbzj7IvSLWh7E15VTFHV6tou6mOhhqNnJQvXHU11ahkrkdMSjZAQSNEXr6crFw5EomkyLnZefkcvR1LB7eXP2iMdTWobW+Cmkz1p/LsvSfoa6nh8tzohiuPknC20sfaSBs9LXVauVpy7E7s639goVzMCQhmY+Djgr/Hb7zG37dilPlj8RnaLDxJp19OF5s/PtugPBYKGwTgaf7YcZMOP5+i9Y8n2RdUfKNWSThwM4YmVczQ0VQjJTOXa4+T6Vm7AgA6GjJ0no5O86hohKWB1n9KY9e1KLp6KPPNwZuxdK9lg5pMSo0KhuTmyYlJySqZDyOUqpkbTrH+xM2Cv8f+eZADV+7zICaJznM202LqetrN3MTdiASVc8csVR4LkJaVQ60JywHlvf7NmuO0mbGR5lPWsffivRKPu0k1O/S0Vcss9avaYKKnOrJz85nbjGpfG1D22jbUVZZjqtmZYW9h+Mrp6miqI5MqnwNpmbk8e6RoqqvRyKUC2hqiX8+7brr/LtYeOF/w9+gF69l/7iYPIp/Q4fNFNP10Aa0/+4k7j1R/w0ctWMf+c8r8lJaZXfCyPS8/ny//2EbLsQvxGvUDu89cL9GYZTIpOk9H82Tn5JIvl6N42uDcoHpljPV1VM6p7VwRK9NXv/crmBvh7miLVFq0HKWjpYFM9ixPZPGPYhYA245foUdTj1dOS3i7zNpygQ2nQwr+HrfyJAevP+ZBbApdfthLqzk76TBvN3ejklTOHbtCeSxAWlYudb5W9sLOy5czZeM52n0XQIvZO9l75aHKuW/Ky8Uavaf1gGd0NNVo5GwFgK6mOpUtDIhNzvhP16/raIGBjjLfuVc0ITrpv11HeDtNnvwlK1asKPh7qLc3u3fv5t69ezRp2ozadTxp0LARwcHBKud+MnQou3fvBiAtLa3gZXteXh6ffTaeevUb4FGrNjuevsAvKTKZDB0d5e99VlYW+fn5Bc+ChIQENm76i+HPjZAA5fug1NTUglitra1emoaenl5BfTo1NbVI3XrNmjW0bNESS0vLIuecOHECA30D3GoUnclDeLdMX7aLtQefKx8t3MD+80/LR18soumYBbQe/zN3HsWonDvqx/XsP/9c+WjIbOBp+WjJNlp+9hNen85n95mgEo+7ac0q6OkUre/qaGng5e4EgK6WJpVtzIlOKPn3lxsPX6RpzSqYG+mX+LXfFx9kzalLDQsWHHrAx5425ObLOXs/iR+6u5AnV7BpWC001aRceJjMvAP3WD7I/ZWuuf5iFHbGWszpUpXUrDw6/X6Rls6maKoVvsBMSM+lz7IrxZ7//MiH1/X9wfuMb+nwwv27g2LpWN2ioBIxtb0j/VdcZcbuEHQ0Zewd7fnS6z94kkG+QjnVU06enM9bVaK1ixnVrPT47cRDvBvZkpCey5XwFKKfvggW3k5dPGyYv/82/erbk5sv50xoPPN7e5Anl/PX6EZoqsm48CCBeXtuscL7xVMWPW/duYfYmegwt6cbqVm5dPzpBC1dLdBUK2w0S0jPoffvp4s9//mRD/9VRGImtyKTcbMtrFwPWxHImdAnNHexoF31ooWrI8GxeDqYYKit/s9LvZK8fDk/7LvN8qH18D95v2B7dHIWVoaFL8OsjbSIShYvZt8VXWpaM//AXT6uZ6fMH/fi+eEjN/LkCv4aWb8wf+y9w4qhL//dfGbd+cfYGWszt3t1Zf745TQtXc1V8kefJeeLPf/ZaIdXsetqFL09lQ0PjxIyMNHVYPTaK4TEpNHIyZRpnV2KbVR7VfFpOdyKTKHp0xEXMSlZNHI0Ldj/7H7/r40cQtnpWt+JH7aeo3/T6uTm5XM6OIIfvVuRly9n61c90FRXI/BuJHM3n2H1+M7/fkFgzbEb2Jnp892gZqRmZtN25iZa1bRHU72wqJmQmknP/20r9vziRg+8ieT0bNSkUmZsOElgSBQ1Kprx3aDm6BfTkPEqjt94xFdrjhGXnMHGL/59uHlqZg4tp21AW0PGNx81orGr7X9KVygb3Zt4MG/NPga2q09uXj6nrofy82d9yMuXs+N/o9HUUOP8zQfMXrGHdTOGvdI1V+87R0VLE74f1ZOU9Cxaf7aQNp7VCob9AySkpNP1y9+KPf/ZyIKXSUrLoNMXi7kfGcdsn66YGpbdNBfHLt9h8u9biU1MY/Pc4Sr7t5+4wuLP+xVzpvAu6OrpwA+7rtCvcRVy8+ScuRPNgoGNyMtXsGVCOzTVZQTei+Hb7ZdYNbrVK11z7am72Jnq8+3HDUjNzKH9vN20qmFbMC0SQEJaFr0WHij2/H+bNulVRCSkcSsiEbeKheWXkf7HUZNKGNCkKt7NXV/5WhvPhtKsWmFHwDN3omk+ewf2ZvrM7Vu/YJom4d3Ru/dHzJg5k6FDh5Kbm8uxY8dZumQJeXl5HPr7IJqampw5c4Zvpkxh+7biyzP/5O/vj4ODA7/88jMpKSnUb9CQDh06oKlZOEVdfHw8rVq3Kfb8ZyMfXiYpKYlmzVsQEhLC/B9+wMxMWVafMmUq06ZOUTn+j99/o32HjmhoaODo6MiiRb/8axqrV69mztxvyczM5NhRZYerlJQU/Jct59DfBxk+YkTBsXl5eUyfMZNtW7ewaNGv/3pt4e3V3cuDeWv3M7Dtc+Wjsb2V5aPvnpaPbj1g9so9rJvu/UrXXL3/aflo5NPy0YSfaOPpqlo++vr3Ys//t2mTXkV4XCI3H0RS06mwfO7z/RrUZFIGt2+AT2evf73G1uNXOHL5Dm6OFfjfiO4Y6+uSkp7F6gPn2PndKD5b9Ne/XuND9UE2RHjYGRAWn0FyZi6XHqVQ38EIDTUpGZm5fLPtLsHRaUglkJ2n+PeLPXUiJIE7sen8dVnZUyojJ5/olOwiay+Y6Kq/UYNDcYIiU0nKzKVRZWPO3E8s9phdQTFM6+BU8PeqcxH8r5szrVzMWHE2nJl7Qvix14sLXblyBbej09jo7UFiRh7dllzC096QFs6mXH6cQqffL2JtoEmdiobIpMV0iRLeGrUqGhP2JJ3kzFwuhiVQv7KJ8t7PyOPrrde5FZmCVCIhJy//3y/21Im7cdyJTuWvp9MmZeTkE52Uhb2ZbsExJroaJdLgUJys3HxGrL7AjK41iqxHsmxoPXLy5Ixbf5mTIXE0c7Yo2LfragTdahU/guhVrDj1gC4eNhjrFn2hpUD1N0PkiHeHR0Ujwp5kPM0fidSv9Cx/5PLNthvcinqWP+SvfM0Td59wJzqVzRcjgKf5Izkbe9PCnqomuhqv1eBQnNSsXC6EJbJkUC0A8vIVXH2cxHc9q1PN2oCxG66y8UI4AxtU/M9p7A2Kpm11S9SfNmYoinlESsQd/06oXdmK+7HJJKdncyE0igbONmioycjIzmXyqqPcehSPVArZua/+LDh+4xG3IxIKpk3KyM4lKjEdh+dGHpjoa5d4g8OL5Obn8yA2mVY1Hfh+SAvm/nWaRbsvMqV3o/90vWY1KnL2+8FcDI3if1vPseXLHi89/vJPQ7E21iP48RP6/biLk/MGoC/mxX9r1XauyP3IJySlZXAhOIyGNSqjoa5GRlYGXyzews0HkUikEnJy8175mkcv3+H2w2g2/B0IKOcmjopPwsG6cG0QEwPdV2pweBEjPR1OL5lMbGIqg2Yvp1sTDyyMy6YHXvPazgT6f8OF4DC+W72P7fNGFewLDY8lIysHjyp2ZRKLUPJqOZjzIDaV5IxsLt6Lo34Vy6fPiWy+2nCOW+EJSF6zznD8ViR3IpMKpk3KyM4jKikDB/PCe9ZET6tEGhyKk5Wbh++fx5j5UV10NZWdkZb4NMPKSIfE9Gw+/uUgLtbGBaMnXmbPlYdcuh/HrkkdAXCvaMrFeb3R01Jn87l7jFtxku1fdCiVzyGUnrp16xIaeo+kpCTOnj1LkyZeaGhokJ6ezqdjxnD9ehBSqZTs7FfvfPn3oUPcvHmLVatXA5Cenk5ERASVKxdOT2RqavpKDQ4vYmRkxLWrV4iJiaFnr4/46KNeREZGkpiUSPPmzTl27FiR43/6+Wf+PniAWrVqMXnyl8yb9z+mFtNg8bzBgwczePBgtm3bxpy5c1m1ciUzZszky8mT0NAoWif+7bff6f3RRy9dd0J4N9R2rsj9qCckpWWqlo9+36osH0les3x05a6yfPR02qQXlo9KoMGhOFk5uXjPW81cn67oainL5v5fDsLa1JDE1HR6Tf0Tl4pWBaMnitOhfnU+alYbDXUZP248xBS/Xfz+eT/mrd3H+N4t0VD/IF+1v7IP9ttpU82Mg8FPOHM/iS5uyheUfqceU9FYi9/6ViMuLYfOv19SOU8mlRSsw/B8Q4UCmN/DmQaVXjy/ZGmMiLj8KJnAsCTqfX+G7Dw5adl5TNp2m/k9lWs+RCRlEZWcTV37whcBO67HMLercr6yrm4WrDwX/tI0bAw1sTHUREtdhrWhDGdLXcKeZOJhp87E1pWY2LoSAH38r1DJ9OWLXgvlr211Kw7ciOJMaDxdPZS9p/88fp+KJjr8PrAOcanZdPxZde54NamkYJhn9nMvYhUKmN+nJg0dX7zoZmmNiFAoFIxbf5lWrpZ08VBtWNBQk9LezZp9QVEFDRGZOfmcuBvH/N41/3O6Vx4lcf5BPL8fCSUlMxeZVIK2howqFvpEJ2cWHBeVlEVt+1ebc1Z4O7StbsGBmzGcDY0vmILI78QD7Ey0+W2AB3Gp2XRapLr+jZpUgvxptiiSP1Awv7cbDZ8bOfBPJTEiYv+NGJo7m6H1tFehtZEWFU10qFFB+dvfvoYVZ0LjX+laL7LraiRjWxUWyKwMi474iUrKKpjCT3j7ta9Vmf1X7nM6OJxu9asAsGT/FezNDVk6qj2xyRm0n7VJ5TyZTIr8afEn57mGCgWw0LsVjVwqvDDNshwRYaqvjb62Bm09lGWUjp6O/LCt+Hz2OjydrIlISOVJSgZmBqpT3zxjbazsCetqZ4ZzBRNCo5KoVdnyhccL5a9DgxrsO3uDU9dD6dFU2aj7+/bj2FuZ4vfVIGITU2k9/ieV89RksoK6wfMVcQXw8/i+NHZzfGGabzoi4hkLY32qV7LmTNA9upfxdEh1XR2IiEvkSVIaZkbK+37b8Sv0bFarTOMQSl67mnbsv/aYM3ei6eap/C1devgWFU31+GNYU2JTMun4vz0q56nJJMifPiieb6hQoODHQY1oWPXFL/pLa0SEQqFg7IqTtHazpUsdh4LtVkbK33FjXU061bbnysO4f22IuBIWx7fbLrFtYvuC0RzPj7br3cCR6X+9+fNGKB9du3Rh165dHDt2nD69ewPw88+/UMmhEuvWriUmJoYGDVU7NajJ1JA/rQw831ChUCj4c+kSmjZt+sI033RExDOWlpa4u7lx4sQJnjx5wsmTp3CoVJmsrCxSU1MZPnwE3347l+Dg29SqpfyNfjYK5FX17NmTESOVDc+XLl9m+44dfDpmLE+ePGHfvv2sWb2KwAuBnDp1mvkLFpCUlPR0+ihtvL1frce88HbpUL86+849LR818QDg9x3Hsbc0wW/yQGX5aMLPKuepyaTFl48UCn4e1+ffy0elMCJCoVAw6sf1tKnrSrennwXA+um0lcb6unRt7M6Vu49f2hBhYlDY6XZw+wZ0exrr1dBwdp8J4ovftpKQks6hi8Es/WIALeu8eE3eD9EH2xDxbHqm+08y+L67M6BcL8HBVBuJRMKWK8XP421rpMXNqDTaVTNn383Cud+bOBqz+nwkde2NkEkl3IhMpYZN0R5JpTEiYkgDW4Y0UA4nOnM/kRVnwwsaIQACgmLp4mZRZB4/Yx11Lj1Kpk5FQ07eS8TRTFkA23czjiuPU/imfdEfhLauZszZe49PmypIzc4jJDYdOxMt8vLlpOXkY6StTmBYEjn5cpwtxRDUt11XDxvm77/Dvdg0fnj6Mj4tKxcHc10kEgmbLz4u9jxbEx1uRKTQroY1e68XrrHSpKo5q8+EUa+SqfLej0guePn5TGmNiPh29y20NWRMaOtcsC0vX05kchYVTXTIlys4dCsaD7vCxoDDwTE0qGxaZP7YvdcjufIoiSmdq71Sur8PKlwIfv7+25joatC/vj15+XJuR6USlZSJvpYah4Nj+Lyd80uuJLxtlNMzhXA/Lo3vP1LOaZqanUclUx3ls+FSRLHnVTDR5mZkCu1qWLL3uXUgmlYxY83ZR9SrZPLS/PGmIyICrkUVGe1gaaCFqZ4Gj+IzqGiqw5nQeKr8y+/z8lNhAHh7Oajse5KaTUhsGo2dChtU2lSzYNLmIIY2tud2dCpqMilWhmJapndFt3pV+H7bOe5FJ7JgqHJxzdTMHCpbGiGRSPjr9O1iz7Mz0+fGwzg61K7M7ufWgWhW3Y6VR65Tv6o1MqmUoIdxuNmbFzm3LEdESCQSWtSoyIWQKOpWseZ0cARVbV7eM2/PxVAu34thWt/GRbY/jE3G1kwfmVRK8OMnpGflFrsmxTNJ6Vloa6ihqa5GZEIqdyISiowMEd5O3ZvWZN7q/YRGxPHTuD4ApGZkUdnGDIlEwqbDF4s9z87CmKB74XRsWIOAU4XrQDSvVZUVu0/ToFolZDIp1++FFyzc/MybjIiITUxFS0MdA10tUtKzOBN0H+9XmEqgOH/uPAnA8G6v9iwKi47HztwYmUzKrbAo0jNzMHmuYW7Hiav4fTXoP8UivD261qnEDwFXuBeTzPyBDQFIy8zBwcJAWWc4V/xaQLYmetwIT6C9R0X2PLcORFNXG1aduEM9Jwvlc+JxPG52RTtqlNaIiLnbL6GtocbnnTwKtuXly0nOyMFUX4us3DyO3Yzg07bKst+yI7cAGNayaN3g0ZNURvmfYNnIFgWNGACxKZlYGCifC0duRmBvJuYGf1c9ezF/924IS5b8ASinIHJyckIikbBmzdpiz7O3t+fq1Wt07dqVbc9N29S6VWuWLF1K48aNlYs1X72Kh4dHkXPfZERETEwM2traGBgYkJKSwomTJxk1aiS9e/dm1Chlg8GxY8dY/Ntv/PnnUvLy8oiLi+PBgwdUqlSJw4eP4FxVWV9dvFjZMD5mzKdF0ggNDcXJSflS9u+//6ZiRWWd48TxYwXHfDJ0KB/16kXbtm1p27ZtwfaZM2dhZmYmGiHeYd2bKKdnCo2I5aexysY5ZfnIXFk+OvKi8pEJQfci6NigBgGn/1E+2nvmufJRBO6ORTsyldaIiFkrdqOtqcGkfoX3aF5+PslpmZga6pGVk8vhy7cZ10tZN/pz19PyUdei5aOYhBQsTZRrhe45G4SLvbIBe9/8sQXHjPpxPd28aopGiGJ8sA0RtSsaEhKXTsNKxmg8XcdhUH0bfNfdYNvVaJo4FV9Z7V/XhqFrrnPkTjxNqxQeM6h+BR4mZtJmUSAKoLKZDssGluzCPP2WXyUoMpWMnHzqzDvNsoFueNgZvPScgOuxzOlSpci2H7o789WOOygUoK8lY+HTaZkeJmSir6W6GLazpR71HAxp8ct5ZBIJk9tUxlRXg4ycfLotUY4aMdPV4Jfer/YSVyhfte1NuBuTSkNH04J7f3BjB4atuMC2S+E0qWpe7HkD6tszZPl5DgfH0My58JjBjRx4GJ9OqwVHUSjA0VyP5d4l2+D28ZIzXA9PJjMnn1ozD7Dcux6WBlosPhJKVUt9Ws0/CsDULtVp5GTKqNUXSc/JQ6GABo6mDGnsUHCtXVcj6OJR9EH3MD4DfS3Vn8PUrFya/u8IqVl5yKQS/jgaysXpbVWOe0ZNJmVmt+r0+v00cgV82sIJE93/Nh+5UD5q2xsTEptGw6fTlgEMblgRn1WX2HY5giZVix/5M6C+HZ8sv8jh4FiaORceM6ihPQ/jM2j940kUKKhsrsvyT15tfYlXlZKZy5VHSfgPqVNk+6xu1Ri26hJ5+QqqVzBgQAPlFBkLDtxl/fnHJGfmUnv2YUa3qIxPk0rci03D06H4ETx7gqJpV92yyPR71WwMaOFijtf3x9FUk7Kw76utqSS8Heo4WXE3MoFGLhXQeLpmySet3Bn6yx62nLlD0xrFT6kysHkNBv0UwKFrYTR3K2z8GtLSjbDYFJpPWa98FlgbseqzV1tf4lX1/mE718PiyMjOxW3cMlaN70TtylZ85n+Iv68+IDEtC7dxy/jf4GZ08nRi+sdejF5ygLSsHGxNDfhthPL3e+2xG3y/7Tyxyek0mLyajxq6MLOfF2GxKcWuIXHi1mOW7L+CukyKproaf4xsV7DuVuOv1hCTlE5uvpzt5+5yaPbHPIxNZuKKI0glEiQS+G5gM4z1RCPd287TxYE7j2No7OZYMKTeu1MjBs9ZweYjl2hWq2qx5w1u34D+M5fx94VgWtQu7HwwtGMjwqLiaTJ6PgqFAkdbC9a+4vzJryLySRJjFm5AoVD2NPft6kWNysrRoWN/2sjBwFskpKRTbcAMvh/diy6N3Zm3Zh9r9p8jKS2DagNmMK53S0Z2b0ZIeCz1qzmopHH7YTQ9v/mDpNRMDpy/hbOdJfsWjuPElbv8vu04ampStDTUWfrlQKRPF3S/+yiGvPx8qlf671NgCm+HOpXNCYlKomFVq4LnxJBmLngvOcLW8/do6lr8//FAr6oM/v0wh4PCi6yhMKSpMw/jUmk5e6eyvmxpwMpRr7a+xKvq8/MBgh7Fk5GdR83Jm1g5uiWWhjr8uj8IZ2sjWszeCcC0Xp7Ud7Kg7y8Hyc2XI5cr6OrpQCs3ZWNhaEwKdR0tVK7/095rJKZnM2a58uVURTM9Vo1uxa6LD1h1/A5qMikG2ur88smbdTARyk/9+vUJDr5Ns2ZNC6YcGjlyBL0+6s269etp3ar4e9bHZxjduvdg7759tG1TOLphxIjh3L9/H49atVEoFFStWoVtW7eWWLzh4eEM8/FFoVCgUCgY8+lo3N1fXCZXU1Pj998W06VrN2QyGRUq2LBq5UoA7ty5Q6NGDVXOWb9+Axs3bUJDQwMjIyNWrlheYvELbz9PF/tiykeNGTx3BZuPXqKZx4vKR/XpP2u5avmow9Py0ZgFyvJRBXPWTivZhqqeU5ZwLTScjOwcqg2cydpp3liaGPDz5iO4VLTE69P5AMzy7kKD6pXoOXUpuXn5yOVyujf1oE1d5TtSZfmoksr1/9hxnAOBt5BKpdiYGvLLZ31KNP73nUShKG6W53ff5cuXqVOnDvvH1MW9wrvZI6H6nJPcnFZ2hZjP/rrF9I5OmOqVzIvTet+f4ej4ekXm7Qe4HpFK+8UXuHTpErVr1y6RtD5kz+71g583w93OqLzDKRHVpu7j1tyym1d17LrLzOhWHTO90p1WpsfiU3zXyx1X65c3IF5/nETbhcdFHnkNz/LBgQleuNu+3z2Pq007yK05L24Q+68+WX6RPwfXLmiAeVNvGuf18GTa/XRK5IM38CxfHJ7Tj5oOqi9U3nZVRy3l7h8j/v3AEvLp0oPM6uf10imXSkLXb7fw/eDmuNqpNmxeC4ul1bQN4r4vBc/yw7HFE9/ZtQsq957C/c3flvh1+83wZ9XUT0p9TmO3wbM4u/Qr9P6xXsrVkMc0H/OjuO9LyLN7/dCULrjbv3jq1PeBy4T13P6pf4lfd/Bvh/Af0aKgAeZNvWmc1x8+ofW3ASKP/MOze/3SxQsf1PdiZm7Bk7jYfz/wNXXr3p3Nf/2lsuZDSXOoVJkbQdfR0yu52TQuX75MHc+6b30eKSiL/Po5Hk7vZlnkbVS571Tub5pb4tftN2sZq74ZUmLlo9KKs7RcDX1M87ELSzxflczbBqFUaMgktF4USFr2qy/88iZ+6VOtRBoh8uUKWi8KJE8uLzIllCC8KnWZhFbzj5KWlVsm6f06oHapN0J8vOQMj+IzUJeJPCG8GQ01Ka1/PElaVsk+G1Z6e5ZII0REYiatfzyJub5YL0J4M+pqMppPWUdqZk6ZpPfbiLal3gjR+4ftPIxLRq2EXm4JHxYNNRleo34gNSPr3w9+DRtm+ZRqI0R+vhyvUT+QlydHKuoGQglSV5PSYvbOEq8zrP60dYk0QkQkpNFi9k7MDcQ6ikLJ0dDQwKNWbVJTU0v0ujt37CjVRoj8/Hw8atUmNze3YBSdIJQEDTUZXp/OL/ny0YxhJVI+Co9LxOvT+VgYians4QOemuldcOWb/zbPa3mTSSUlvhaG8GG5Nqt9eYdQ4jaOVF3UTBD+i6szWpd3CC9VwVj7jde8EASAm7/6lHcIJW7z5B7lHYLwDru9YXZ5h/CfyGTS/7wWhiC8TND8j8s7hJeqYKJXKmteCB+2yIjw8g7hP5HJZP95LQxBeJnb62aVdwgvZWtuXCprXryrRENEGXnRNEVladOlKObuC8XSoLCX6o4RtdErx5iED4vn7IMc/7JlueaDjYGPmBNwEyuDwvm6d471KrJ4tSCUprpzj3BsUtPyfR4EPmbOnttF8sGOTxuiV8xaKYJQGmpNWM7JeQPR0yq/dXQ2nLjFrI2nsDLWLdgWMLV3setECEJpeNFURWVp3cHzzPAPwMq0cNrIfT+OQ19HrGsilL46X2/m+Izu5VoO33gmhNlbL2JpWDgiLmByR1E3EMpMaUxV9LpWrlzJ5C+/wsamcF2XkyeOo6//bk5zLrx73IbM5uySL8u3TPR3IDOW/aNMNH+sKBOVMPHG4QPzUW0rZnSs8u8HCsJ7rLenHTO71SjvMAShXPWuU4EZXauVdxiCUK76eLkyu78YwSN82D5uXZe5w0WvbeHD1buBI7N6ixH9wodt8KBBLFgwv7zDEIRy9XErT+b6ijJRaRINEaVgXWAEy86EI5VIaOFswpT2TkX2D151jZiUHHLy5UxqXYmONSxIz87Dd90NolOyAZje0YkmTiZ8tvkWQZGpyCQShnvZ8bGnTXFJCsJbZ+3ZMPxP3kcqkdDSxYKpXaoX2T/I7xwxKVlk58mZ3MGFTu42pGfn4bPyAlHJmQDM6FqDplXNGbf+MtfDk5BJJYxo5ki/+vbl8ZEE4bWtPfeIZSfDkEqgpYsFUzq7FNk/eNkFolOyyMmTM6ldVTq5WyvzwarLRCcr57ic3sWVplXNGLfhKkERKcgkEkY0q8TH9cQCZ8K7YfXRG/gdvIpUIqFVTXum9y069WT/H3cRnZROTm4+X/VqQOe6TqRl5eC9aC9RiWkAzOrXhGY17Ph06UGuh8Uhk0oY1aEW/ZtWLy5JQXjrrNp7lqU7TyCRSGhT15WZw7oU2d93uh/R8cnk5Obx9eAOdPWqSVpmNkPmrCAqPhmAOb5daV7LmVEL1nEtNByZVMrons0Z2K5+eXwkQXgta07ewf/wLSRSCa1q2DKtp2eR/QMXHyI6KYOcvHwmd61F59oOpGXlMmzpUaIT0wGY0bsezVytGbPiJEGP4pFJJIxsU4N+jUVHO+Hd4Ofnx6JfFyOVSunQvj3/+9+8Ivu7dO1KZGQU2dnZzJ41k549e5KWlsZHvXsTEREJwIL5P9C6dWuGfPIJly9fQSaT8fmE8QwdOrQ8PpIgvLZV+86ydNdJZZnI04WZ3v8oE83wIzohRVkmGtSBro3dlWWib1cWlol8utLcoyqjflyvLBPJpIzu0YyBbUWZ6G0nGiJK2K2oNJadCWfHyDoYaKmRmKG6cNYvvathrKNOSlYenX6/SIfq5hwLScBYR5313h4oFArSsvO5GZXKo8Qsjk9oAEBKMQuT/nI0jICgWJXtg+tXYHD9Cirbt1yO5mRoIgBG2mps8S25lc8F4Zlbkcn4n7zPrrFNMNBWJzFddaHRRf1rY6yrQUpmLh1/PkFHN2uO3o7FWEeDDSMaPs0HedyISOZRfAYnv2oFQEqmap76+e87BFyNVNk+uJEDQxpXUtm++eJjTt6NA8BQR4NtnzZ+048sCCpuRaaw7GQYO8c0VOaDDNV88Eu/mhjrPM0Hv5ymo5sVR+/EYayjzobh9Z7LByk8TsjkxORmwAvywaEQdl+LVtk+qGFFhjRSbbzbfCmCkyHxABhqq7F1dMM3/ciCoOLmozj8Dl5lz7TeGOhokpimuojcbyPaYqynRUpGNm1nbqKTpyNHgx5irKfFX5O7K/NBVg5BD+N4FJfCme8HAZCSka1yrYU7A9kVGKKyfUhLN4a2clfZ/tepYE7cfASAoa4WO7/p9aYfWRBU3LgfydKdJ9i3cByGutokpqSrHLPki/4YG+iSnJ5J63E/0aWxO4cv3sbEQJet341EoVCQmpFN0P0IHkYncN7vawCS0zNVrrVg/UF2nLyqst27U2O8O6uWeTYeusCxK3cAMNLTYff8MW/4iQWhqJvhCfgfvkXA5E4Y6GiQmK76+/3r0CYY62qSkpFD+3m76VTLnqM3IzDW1WTTZ22fPgtyufE4gUdP0jg1qycAKcWUr37ac41dl8JUtg9p5swnzVxUtm8+d48TwVEAGOlosP2LDm/4iQVB1fXr11n062JOnTyBoaEhCQkJKsesWrkSExMTkpOTqd+gIT169ODAgQOYmpqyf98+5bMgNZWrV6/y4EEYt27eACA5OVnlWt9++x2bt2xR2T5yxHBGjhypsn31mjUcOnwYAGNjY44eOfymH1kQVNx4EMnSXSfZt2CsskyU+oIykf7TMtH4n+nSyI3Dl25joq/D1rkjipaJYuI5/+dXwAvKRBv+ZsepqyrbvTs2wrtTMWWiwxc5dvUu8LRM9P2nb/iJhX8SDREl7Mz9RLq6W2DwdJ5tYx3VuSX9Tj3mYPATACKSsohNzcHFUo8Zu0OYsy+UDtXM8bQ3pKKJNjEp2Xy98w7tXM1oXtVU5VqftXDgsxYOrxyfmJpJKAtnQp/QzaMCBtrK+99YV3W+7T+P3+PATeVL04jETGJTsnG1NmDGjhvM3nWTju7WeDqYYG+qQ3RKFl9tuUb7GtY0d7FQudb4Ns6Mb+P8yvGJqZmEsnDmXjxdPawL84FOcfngAQdvxgAQkZRJbGo2rtb6zNh5izkBwXRws8LTwbggH3y99QbtaljS3Nlc5VrjW1dhfOtX/30XUzMJZeF0cATd61fFQEc536uxnuocq0v2X2H/5fsARMSnEpOcgautGVPXnWDmhlN08nSkbhVrHCwMiU5MZ/LKo3SoU5kWbqoNbJ93q8fn3V59eg0xNZNQFk5dD6FHs1oY6moDYGygq3LMb9uPs++s8oVSeFwiMQkpVK9kzZSl25nuv4vOjdyoV60SDlamRMUn88XiLXRsWIOWdVRfqn7Rvy1f9G/7yvGJqZmE0nbmTjTd6lbC4GlZyFhXdQ7wpYdusv+asmE4IiGN2ORMqtkaM/2vQGZtuUDHWvbUdbTA3kyfmKQMvlx/lvY1K9KiumrnuwmdajKhU81Xjk9MzSSUhWPHjtO3Tx8MDQ0BMDExUTnmp59+ZldAAACPHj0iOjoaNzc3Jnw+kcmTv6RHj+40bNiQypUrExkZyaefjqFbt660bav6mz9lyjdMmfLNK8cnpmYSysKp66H0aOpRWCbSf0GZ6NxN4GmZKDGF6g7WTPlzB9OX7aJzI3fquTo8LROl8MVvW+jY4AVlon5t+KJfm1eOT0zNVPpEQ0QZO30vkQsPkwgYXQdtdRlNFp4jJ1+Oo7kOB8fW4/CdJ0zffZePalnj3ciWI5/V48jdBJaeeszx0ASVRoTXHREhCG+DUyFxBD5IYM9nTdHWkOE17zDZ+XIcLfT4+4vmHLoVzdTtQfT2tGNYk8ocm9yCw8ExLDkWyrE7sSqNCK87IkIQ3ganQ59wISyR3Z81Rltdhtf/jpGTJ8fRXI+/P2/CoeBYpu24SW9PW7y9HDj6RVOO3I5jybH7HL8Tp9KI8LojIgThbXDy1mPO341k/8y+aGuo0WDyanJy83GyNubonP78fS2Mb9Yep6+XKz5tanJi3gAOX3vI7/suczTokUojwuuOiBCEt8GJqyGcv/mAQ7+MR1tTg7rDviM7Nw8nWwtO/D6JA+dv8tUf2/m4dV2Gd2vCmaVfcuhCMIu3HuXIpTsqjQivOyJCEMrbqdtRBIbGsO+rzmhrqNFo2jay8/JxtDTk8LSu/B0UztRN5+nTwJFhLatxbEZ3jtwI54+/b3DsVoRKI8LrjogQhLfB0aNHOX3mDOfOnkFbWxsX12pkZ2dTtWpVrly+xJ49e/hs/AQGDxrEmDGfEnT9Gvv27ePHhQs5ePBvlUaE1x0RIQhvgxPXQjh/6wGHfvpMWSbynUd2br6yTLT4Cw4E3uKrJdv5uJUnw7s24cwfkzl0MZjF245x5PIdlUaE1x0RIZQ+0RBRwrwcjRm98SbejewKpmZ6flREanYexjrqaKvLuPI4hftPMgCITsnGSFuN3rWtkUkknL6fSHx6DhoyKV3cLLDU12DBoQcq6b3uiAhBKAuNq5gzas1FhjWpXDA10/OjItKy8jDW1UBbQ8blh4nci1POAR6dnImRjgZ96lZEJpVwOuQJ8WnZaKhJ6epRASsDLebvv62S3uuOiBCEsuDlZMaotVcY5uVQMDXT86MiUrOeex48SuL+E+Ww1OjkLIx01OnjaYtMIuFMaDzxaTloqEnoUtMaSwNNFhy4q5Le646IEISy0KSaLcN/349v25oFUzM9PyoiNTMHEz0ttDXUuHwvmnvRyukjoxLTMNbVoq+XK1KJhFPB4cSnZqKhJqVb/SpYGevy/bZzKum97ogIQSgLTT2q4jNvNcO7NSmYmun5URGpGVmYGOigranBpdsPCY1QTh8ZFZ+Msb4O/drUQyaTcvJaKPHJaairqdG9qQdWpgbMW71fJb3XHREhCKXNy8WakX7H8GlRrWBqpudHRaRm5WCs+/RZ8CCOe7HKaWaikzIw0tWgb0MnZd3gThTxqVnKuoFnJSyNdPhh1xWV9F53RIQglIWWLVvQr/8Axo4dUzA10/OjIlJSUjA1NUFbW5vAwEDu3lWW9yMjIzExMWHw4MHIZDKOHj3GkydP0NDQoHfv3tjY2DBj5iyV9F53RIQglIWmNavg8/0ahndtUjA10/OjIlIzsjDR11WWie4UUyZqXReZVMrJ6yGFZaImHliZGDBvbTFlotccESGUPtEQUcJcrPQY1tiObksuIZNKaFnVlG/aOxbsb17FhJVnw2m9KJDqVnq4WuoBcDs6jdl7Q5FKJWirSfmxlyvRKdmM3xyMQgEyqYTZnd/8BdPza0QArBjkhp2x9htfVxCe52ptgG9TR7osOomaVEJLV0umdC7svd3cxYIVpx7Qav5RqtkY4mptAEBwVCqzdt1AJpGgpS5j4cceRCdn8dmGK8gVCtSkEmZ3d3vj+J5fIwJgxbD6VDTReePrCsLzXKz18WniQNfFZ1CTSmnhYs6UToW98Jo7m7Pi9ENa/3iSajb6uFrpA8p8MDsgGJlUgpa6lB/7uBOdksX4DdeQKxTIZBJmd3vzBXqfXyMCYMXQOtiJfCCUMFc7M4a386Dj7M2oySS0cndgWt/C3kct3exZfug6zaeso3pFc6rZmgEQ/DieGRtOKvOBhhq/+LQmKiGNsX5/I5crkMmkfDuw6RvH9/waEQCrx3ehornBG19XEJ5XzcGakd2b0n7CL8hkUtrUdWXGcwsztvJ0wT/gFF6jfqBG5QpUc7AG4NaDSKb57VLWDzTV+XVCPyKfJDP6x/XI5QrUZFLmjezxxvE9v0YEwLoZw7C3Up0SVhD+K9cKxvi2qk7nH/Ygk0ppVaMCU59brLpF9QosP3qbFrN3Ut3OGNcKxgDcikhk1uZApFIpWhoyfh7sRVRSBuNWnnxaN5Ayt++bNz4/v0YEwKrRLalopv/G1xWE59WoUYPPxo2lsVcT1NTU6NC+PfPmfVewv127dvz2++941KpNzZruuLkp671BQUF8MWkyMpkMbW1tlvn7ERERwSdDvZHL5aipqfHzTwvfOL7n14gA2LF9Gw4ODm98XUF4XjUHa0Z2a0r7iYuUZSJPV2YM7Vywv1Wdp2WiT+dTo5JNYZkoLIpp/k/LRBrq/Dr+YyLjkxn94wbl80AmZd6I7m8c3/NrRACsmz4Me0vVadSE/06iUCgU5R1Eabh8+TJ16tRh/5i6uFcQhYi3yfWIVNovvsClS5eoXVsslv2mnt3rBz9vhrudUXmHI5SA64+TaLvwuMgjr+FZPjgwwQt3W8PyDkcoAdfDk2n30ymRD97As3xxeE4/ajqorq8jvH2uhcXSatoGcd+Xgmf54djiiXhUsSvvcITnXA15TPMxP4r7voQ8u9cPTemCu71ZeYcjlIDrD5/Q+tsAkUf+4dm9funiBfG9fOAuX75MHc+6b30eKSiL/Po5Hk6iLCK83a6GPqb52IUlnq+kJXYlQRAEQRAEQRAEQRAEQRAEQRCEfxANEYIgCIIgCIIgCIIgCIIgCIIglBrRECEIgiAIgiAIgiAIgiAIgiAIQqkRDRGCIAiCIAiCIAiCIAiCIAiCIJQa0RAhCIIgCIIgCIIgCIIgCIIgCEKpUSvvAEpbaGx6eYcg/IP4PykdIbGp5R2CUELE/+V/FxKTVt4hCCVE/F+WnLsRCeUdgvCKxP9V6bv7OKa8QxD+QfyflI670cnlHYJQQsT/5csFBweXdwhCOXvX7oG7j2LLOwRB+FeldZ++tw0RZmZm6GhrMeavW+UdilAMHW0tzMzMyjuM98Kze/3TtZfLOxShBIk88noKfvPXXy3vUIQSJPLBm1HmC21GLTlQ3qEIr0FHW1vc96XAzMwMHR1thn+/trxDEYqhoyPu+5Ly7Ld/9LIT5R2KUILEs0GV8nddh4GDBpd3KMJbQEdH563PIwVlkfmiLCK8G0qjfCZRKBSKEr3iW+TRo0c8efKkvMMo1rZt2/juu+/YvXs3VlZWJXrtvXv3Mm3aNLZv307FihVL9NolxczM7K2N7V30Nt/rLzNlyhRu3brFtm3bkEgkJXrtOXPmcPbsWQICApDJZCV67bIg8sjrexfzQX5+Pl26dKFRo0ZMnTq1RK+tUCjo0aMHNWrUYO7cuSV67bIi8sGbexfyxcOHD+nZsydz586lQ4cOJXrtqKgoOnfuzNSpU+nRo0eJXru0iPu+9LzN+UHUDcR9X5Le5nv9ZUTd4MVEHineu3qvv4ioG/x370oeed/u2dIg6gZvj9LIV+91Q8TbrH79+piZmbFnz54Sv3ZWVhY2NjYMHz6c//3vfyV+fUEoCQkJCdjY2DBnzhwmTZpU4tcPDAykfv367Nu3j/bt25f49QWhJOzbt4+OHTsSGBhI3bp1S/z6P/zwA9OnTycqKgpjY+MSv74glIQvv/wSf39/IiIi0NLSKvHrd+zYkYSEBM6dO1fi1xaEkiLqBsKHTtQNBEHUDQQBRN3gfScWqy4H169fJzAwEF9f31K5vpaWFoMGDWLlypXk5uaWShqC8KbWrl1Lfn4+Q4YMKZXr161bF3d3d/z8/Erl+oJQEvz8/KhZsyaenp6lcv0hQ4aQn5/P2rVi+K/wdsrJyWHlypUMGjSoVCoaAL6+vpw/f56goKBSub4gvClRNxAEUTcQBBB1A0EQdYP3n2iIKAd+fn5YWlrSqVOnUkvDx8eHmJgYAgICSi0NQfivFAoFfn5+dOvWDQsLi1JJQyKR4OPjw65du4iJEYsgCm+f6OhoAgIC8PHxKfHpB56xtLSka9eu+Pn5IQZACm+jgIAAYmNj8fHxKbU0OnfujKWlpXj5JLy1RN1A+NCJuoEgiLqBIICoG3wIRENEGcvMzGTt2rUMHToUdXX1UkvHzc2N+vXr4+/vX2ppCMJ/FRgYyI0bN0qt598zAwcORE1NjVWrVpVqOoLwX6xatQo1NTUGDBhQqun4+voSFBTEhQsXSjUdQfgv/P39adCgATVq1Ci1NNTV1fnkk09Ys2YNmZmZpZaOIPwXom4gCKJuIAgg6gaCAKJu8CEQDRFlbOvWrSQlJTFs2LBST8vX15f9+/fz6NGjUk9LEF6Hn58f9vb2tGnTplTTMTY25qOPPsLf31/0+BDeKgqFAn9/f3r37l3q87O2adOGihUrih4fwlvn4cOHHDhwoNRfPAEMGzaMpKQktm3bVuppCcLrEHUDQRB1A0EQdQNBEHWDD4VoiChj/v7+tGjRAicnp1JPq2/fvujq6rJixYpST0sQXlVqaiobN27E29sbqbT0f4J8fHwICQnhxIkTpZ6WILyq48ePExoaWqpDTp+RyWR4e3uzYcMGUlNTSz09QXhVK1asQFdXlz59+pR6WlWqVKF58+aiN7jw1hF1A+FDJ+oGgiDqBoIAom7woRANEWXo7t27HD9+vExa9wD09PTo168fy5YtIz8/v0zSFIR/s3HjRjIzM/H29i6T9Jo2bUrVqlVFjw/hreLn54ezszNNmjQpk/S8vb3JzMxk06ZNZZKeIPyb/Px8li9fTv/+/dHT0yuTNH19fTl27BghISFlkp4g/BtRNxAEUTcQBBB1A0EQdYMPh2iIKEP+/v6YmJjQo0ePMkvT19eXx48fc/DgwTJLUxBexs/Pjw4dOmBra1sm6T1bmG7Lli0kJCSUSZqC8DIJCQls3bq1VBei+yc7Ozvat28vKt3CW+PAgQM8fvy4zF7AAvTs2RNjY2PR80l4a4i6gSCIuoEgiLqBIIi6wYdENESUkZycHFatWsWgQYPQ0tIqs3Q9PT1xd3cXGUt4K1y7do0LFy6UyZDT5w0ePJj8/HzWrVtXpukKQnHWrl2LXC5n8ODBZZquj48PgYGBXL9+vUzTFYTi+Pv7U7NmTerUqVNmaWppaTFo0CBWrlxJbm5umaUrCMURdQNBEHUDQQBRNxAEEHWDD4loiCgjAQEBxMbGlmnrHih7fPj6+rJr1y5iYmLKNG1B+Cd/f3+srKzo1KlTmaZraWlJt27d8PPzEwvTCeVKoVDg5+dHt27dsLCwKNO0O3fujKWlpXj5JJS76OhoAgIC8PX1LbOef8/4+voSGxtLQEBAmaYrCP8k6gaCIOoGgiDqBoIg6gYfGtEQUUb8/Pxo2LAh1atXL/O0BwwYgJqaGitXrizztAXhmczMTNauXcvQoUNRV1cv8/R9fX0JCgoiMDCwzNMWhGfOnz/PjRs3yvzFE4C6ujpDhw5lzZo1ZGZmlnn6gvDMypUrUVNTY8CAAWWedo0aNWjQoIGYikAod6JuIHzoRN1AEETdQBBA1A0+NKIhogw8fPiQgwcPlvmQ02eMjY356KOP8Pf3Fz0+hHKzdetWkpKSGDZsWLmk37p1aypWrCh6fAjlyt/fH3t7e1q3bl0u6Q8bNoykpCS2bdtWLukLgkKhwN/fn969e2NkZFQuMfj4+HDgwAEePXpULukLgqgbCIKoGwgCiLqBIIi6wYdHNESUgeXLl6Onp0ffvn3LLQZfX19CQ0M5fvx4ucUgfNj8/Pxo2bIljo6O5ZK+TCZj2LBhbNiwgdTU1HKJQfiwpaamsnHjRoYNG4ZUWj6PXycnJ1q0aCF6fAjl5tixY9y7d69cev4907dvX3R1dVm+fHm5xSB82ETdQBBE3UAQRN1AEETd4EMkGiJKWX5+PsuXL6d///7o6uqWWxxNmjShatWqoseHUC7u3r3LiRMnyvXhAjB06FAyMzPZtGlTucYhfJg2btxIZmYmQ4cOLdc4fH19OX78OHfv3i3XOIQPk7+/P87Oznh5eZVbDHp6evTv35/ly5eTn59fbnEIHyZRNxAEUTcQBBB1A0EAUTf4EImGiFJ24MABwsPDy23o9TMSiQQfHx+2bNlCQkJCucYifHj8/f0xMTGhe/fu5RqHnZ0d7du3Fz0+hHLh5+dHhw4dsLW1Ldc4evTogYmJCcuWLSvXOIQPT0JCAlu3bsXHx6fMF6L7Jx8fHx4/fszBgwfLNQ7hwyPqBoIg6gaCAKJuIAiibvBhEg0RpczPzw8PDw/q1KlT3qEwZMgQ5HI5a9euLe9QhA9ITk4OK1euZPDgwWhpaZV3OPj6+hIYGMj169fLOxThA3Lt2jUuXLhQ7j3/ALS0tBg0aBArV64kJyenvMMRPiBr1qxBLpczZMiQ8g4FT09PatasKV4+CWVO1A2ED52oGwiCqBsIAoi6wYdKNESUoujoaAICAvD19S331j0ACwsLunXrhp+fn1iYTigzAQEBxMXFlXvPv2c6deqElZWVmIpAKFP+/v5YW1vTqVOn8g4FUPb4iI2NZffu3eUdivCBeLYQXffu3TE3Ny/vcJBIJPj6+hIQEEB0dHR5hyN8IETdQBBE3UAQQNQNBEHUDT5coiGiFK1cuRINDQ369+9f3qEU8PHx4caNGwQGBpZ3KMIHws/Pj4YNG1K9evXyDgUAdXV1PvnkE9asWUNmZmZ5hyN8ADIzM1m7di2ffPIJampq5R0OADVq1KBBgwaix4dQZs6fP8+NGzfemhdPAP3790dNTY1Vq1aVdyjCB0LUDQRB1A0EQdQNBEHUDT5koiGilMjlcvz9/enduzdGRkblHU6BNm3aYG9vLx4wQpkICwvj4MGDb8WQ0+cNGzaMpKQktm7dWt6hCB+ALVu2kJSUxLBhw8o7lCJ8fX05cOAADx8+LO9QhA+An58f9vb2tG7durxDKWBsbEzv3r3x9/cXvcGFUifqBoIg6gaCAKJuIAgg6gYfMtEQUUqOHz/OvXv33qrWPQCpVIq3tzcbN24kNTW1vMMR3nMrVqxAT0+PPn36lHcoRTg5OdGiRQtR6RbKhL+/Py1btsTR0bG8QymiT58+6Orqsnz58vIORXjPpaamsnHjRoYNG4ZU+nYVPX18fAgNDeXYsWPlHYrwnhN1A0EQdQNBAFE3EARRN/iwvV3/4+8RPz8/nJ2d8fLyKu9QVHh7e5OZmcnGjRvLOxThPZafn8/y5cvp378/urq65R2OCl9fX06cOMHdu3fLOxThPXbnzh1OnDjx1vX8A9DT06N///6sWLGC/Pz88g5HeI9t2LCBrKwshg4dWt6hqGjSpAnOzs5ibnCh1Im6gfChE3UDQRB1A0EAUTf40ImGiFIQHx/P1q1b35qF6P7J1taWDh06iB4fQqnav38/4eHhb2UhC6BHjx6YmJiIB4xQqvz9/TExMaFHjx7lHUqxfH19efz4MQcOHCjvUIT3mJ+fHx07dsTW1ra8Q1EhkUjw8fFh69atJCQklHc4wntK1A0EQdQNBAFE3UAQQNQNPnSiIaIUrF27FoVCweDBg8s7lBfy8fHhwoULXLt2rbxDEd5T/v7+eHh4ULt27fIOpVhaWloMGjSIVatWkZOTU97hCO+hnJwcVq1axeDBg9HU1CzvcIpVp04datasKSrdQqm5evUqFy9efOumo3ne4MGDkcvlrF27trxDEd5Tom4gCKJuIAiibiAIom4giIaIEqdQKPDz86N79+6Ym5uXdzgv1KlTJ6ysrMQDRigVUVFRBAQEvLU9/57x9fUlNjaWgICA8g5FeA/t2rWLuLi4t7bnHyh7fPj6+hIQEEB0dHR5hyO8h/z9/bG2tqZTp07lHcoLWVhY0K1bN/z8/MTCdEKJE3UDQRB1A0EAUTcQBBB1A0E0RJS4c+fOcfPmzbf64QKgrq7O0KFDWbt2LZmZmeUdjvCeWblyJRoaGvTv37+8Q3mp6tWr07BhQzEVgVAq/Pz8aNSoEdWqVSvvUF5qwIABqKmpsXLlyvIORXjPZGRksHbtWoYOHYqamlp5h/NSvr6+3Lhxg/Pnz5d3KMJ7RtQNBEHUDQQBRN1AEETdQADREFHi/P39cXBwoFWrVuUdyr8aNmwYSUlJbN26tbxDEd4jcrmcZcuW0bt3b4yMjMo7nH/l4+PDwYMHefjwYXmHIrxHwsLC+Pvvv9/qIafPGBkZ0bt3b/z9/UWPD6FEbd26leTkZLy9vcs7lH/VunVr7O3tRW9wocSJuoHwoRN1A0EQdQNBAFE3EJREQ0QJSklJYePGjQwbNgyp9O3/ah0dHWnZsqXo8SGUqGPHjnHv3r23vuffM3379kVPT4/ly5eXdyjCe2T58uXo6+vTp0+f8g7llfj6+nLv3j2OHTtW3qEI7xE/Pz9atWqFo6NjeYfyr6RSKcOGDWPjxo2kpqaWdzjCe0LUDQRB1A0EAUTdQBBA1A0Epbe/RPwO2bhxI1lZWQwdOrS8Q3llvr6+nDhxgrt375Z3KMJ7wt/fHxcXFxo3blzeobwSXV1d+vfvz/Lly8nPzy/vcIT3QH5+PsuXL6d///7o6uqWdzivxMvLC2dnZ9HjQygxd+7c4eTJk+/MiyeAoUOHkpmZycaNG8s7FOE9IeoGgiDqBoIg6gaCIOoGQiHREFGC/Pz86NixIxUqVCjvUF5Z9+7dMTExEQ8YoUTEx8ezdetWfHx83uqF6P7Jx8eH8PBwDhw4UN6hCO+B/fv3ExER8U4MvX5GIpHg4+PD1q1bSUhIKO9whPeAv78/pqamdO/evbxDeWW2trb/Z+8sA6M4+jD+u4u7uxCHBIfg7m7FWiieUKEUSoFSKE4pRVrgrSe4u7u7OxECxIC4u969Hw4SQpAEQg6Z36fcZnfn2Z2dnXnmPzNLhw4dxGhwQZkhvIHgY0d4A4FAeAOBAIQ3EBQiAhFlxPXr17l8+fJ7Fd0D0NTUZODAgSxfvpycnBxlyxG856xatQq5XM7AgQOVLaVU1K5dmxo1aogKRlAm+Pj4ULNmTWrXrq1sKaVi0KBByGQyVq1apWwpgvecnJwcVqxYwcCBA9HQ0FC2nFLh7e3NpUuXuHHjhrKlCN5zhDcQCIQ3EAhAeAOBQHgDwdOIQEQZ4evri5WVFR07dlS2lFLj5eVFbGwsu3btUrYUwXuMXC7H19eXHj16YGZmpmw5pUIikeDt7c2uXbuIiopSthzBe0xkZCS7d+9+7zqeAMzMzOjevbv4MJ3gjdm5cyexsbHv1ci/J3Tq1AkrKysxGlzwxghvIPjYEd5AIBDeQCAA4Q0ERRGBiDIgIyOD1atXM2TIEFRVVZUtp9RUrlyZBg0aiBEfgjfi/Pnz+Pn5vZeVC0C/fv1QV1dn+fLlypYieI9Zvnw56urq9OvXT9lSXgsvLy9u377NhQsXlC1F8B7j4+NDw4YN8fDwULaUUqOqqsrgwYNZvXo1mZmZypYjeE8R3kAgEN5AIADhDQQCEN5AUBQRiCgDNm/eTHJyMsOGDVO2lNfG29ubgwcPEhoaqmwpgvcUHx8fHB0dadWqlbKlvBaGhob07t0bX19fZDKZsuUI3kNkMhm+vr706dMHAwMDZct5LVq3bo2Dg4PofBK8NqGhoRw6dOi9HPn3hGHDhpGUlMTmzZuVLUXwniK8gUAgvIFAILyBQCC8gaA4IhBRBvj6+tK6dWucnJyULeW16dOnD7q6uixbtkzZUgTvISkpKWzYsIFhw4Yhlb6/rxVvb2/u37/PiRMnlC1F8B5y/PhxgoOD3+tGllQqZdiwYaxfv56UlBRlyxG8hyxduhQ9PT169+6tbCmvjbOzM61atRJTsAWvjfAGgo8d4Q0EAuENBAIQ3kBQnPe3VfCOEBgYyKlTp97bKadP0NHRoV+/fixdupT8/HxlyxG8Z6xbt46srCwGDx6sbClvRKNGjahUqZIY8SF4LXx8fHB3d6dhw4bKlvJGDB48mKysLNavX69sKYL3jLy8PJYuXUq/fv3Q0dFRtpw3wsvLi5MnT3Lnzh1lSxG8ZwhvIBAIbyAQgPAGAoHwBoLnIQIRb4ivry8mJiZ0795d2VLeGG9vbx4+fMj+/fuVLUXwnuHj40OnTp2wsbFRtpQ3QiKR4OXlxZYtW4iPj1e2HMF7RFxcHFu3bsXLywuJRKJsOW+Era0tHTt2FKZbUGr279/Po0eP3uuRf0/o0aMHJiYmYuSToNQIbyAQCG8gEAhvIBAIbyB4PiIQ8Qbk5OSwYsUKBg0ahIaGhrLlvDG1a9emZs2aomAJSsW1a9e4cuXKB1G5AAwcOBC5XM7q1auVLUXwHrF69WrkcjkDBw5UtpQywdvbm8uXL3P9+nVlSxG8R/j6+lKrVi1q1aqlbClvjIaGBgMHDmTFihXk5OQoW47gPUF4A4FAeAOBAIQ3EAhAeAPB8xGBiDdgx44dxMXFvfdTr5/Gy8uLXbt2ERkZqWwpgvcEX19frK2t6dChg7KllAlmZmZ0794dHx8f5HK5suUI3gPkcjk+Pj706NEDU1NTZcspEzp27IiVlZXofBKUmMjISHbv3v3BtYliY2PZuXOnsqUI3hOENxAIhDcQCIQ3EAiENxC8GBGIeAN8fHxo1KgR7u7uypZSZvTv3x91dXWWL1+ubCmC94CMjAzWrFnDkCFDUFVVVbacMsPb2xs/Pz/Onz+vbCmC94Bz587h7+//wYz8A1BVVWXIkCGsXr2ajIwMZcsRvAcsW7YMDQ0N+vXrp2wpZYaHhwcNGzYUSxEISozwBoKPHeENBALhDQQCEN5A8GJEIOI1CQkJ4dChQx9U5QJgYGBAnz59WLJkCTKZTNlyBO84mzdvJjk5mWHDhilbSpnSqlUrHBwcxIgPQYnw9fXF0dGRli1bKltKmTJs2DCSk5PZsmWLsqUI3nFkMhlLliyhT58+GBgYKFtOmeLt7c2hQ4cIDQ1VthTBO47wBgKB8AYCAQhvIBAIbyB4GSIQ8ZosXboUfX19evXqpWwpZY6Xlxf379/n+PHjypYieMfx8fGhdevWODo6KltKmSKVShk2bBjr168nJSVF2XIE7zApKSls2LCBYcOGIZV+WFWqk5MTrVq1EiM+BK/k2LFjBAcHf1BTr5/Qu3dv9PT0WLp0qbKlCN5xhDcQCIQ3EAiENxAIhDcQvJwP681YTuTl5bF06VL69++Pjo6OsuWUOU+mlIsKRvAyAgICOH369Ac38u8JQ4YMISsri3Xr1ilbiuAdZu3atWRnZzNkyBBlS3kreHt7c+rUKQIDA5UtRfAO4+Pjg7u7Ow0bNlS2lDJHR0eHfv36sXTpUvLy8pQtR/COIryBQCC8gUAAwhsIBCC8geDliEDEa7B//34iIiI+2EaWRCLBy8uLrVu3Eh8fr2w5gneUJUuWYGpqSrdu3ZQt5a1gY2NDp06dxBRswUvx9fWlU6dOWFtbK1vKW6F79+6YmJiwZMkSZUsRvKPExcWxbds2vL29kUgkypbzVvD29ubRo0ccOHBA2VIE7yjCGwgEwhsIBCC8gUAgvIHgVYhAxGvg4+NDrVq1qFmzprKlvDUGDBiAXC5n1apVypYieAfJzs5mxYoVDBw4EA0NDWXLeWt4eXlx+fJlrl+/rmwpgneQa9euceXKlQ9yyukTNDQ0GDhwICtWrCAnJ0fZcgTvIE/aCQMGDFCykrfHkzafGA0ueBHCGwg+doQ3EAiENxAIQHgDwasRgYhSEhERwZ49ez7YEU9PMDMzo0ePHvj4+CCXy5UtR/COsWPHDuLi4j7oRhZAx44dsbKyEhWM4Ln4+PhgbW1Nhw4dlC3lreLl5UVsbCw7duxQthTBO4ZcLsfHx4cePXpgamqqbDlvFW9vb3bv3k1kZKSypQjeMYQ3EAiENxAIQHgDgUB4A0FJEIGIUrJ8+XI0NDT47LPPlC3lrePl5YW/vz/nz59XthTBO4avr2/BesEfMqqqqgwZMoQ1a9aQkZGhbDmCd4iMjAzWrFnDkCFDUFVVVbact4qHhwcNGzYUSxEIinHu3DkCAgI++I4ngH79+qGurs7y5cuVLUXwjiG8gUAgvIFAILyBQCC8gaBkiEBEKZDJZPj6+tKnTx8MDAyULeet06pVKxwdHcWID0ERQkJCOHTo0Ac/8u8Jw4YNIzk5mc2bNytbiuAdYtOmTaSkpDBs2DBlSykXvL29OXToEKGhocqWIniH8PHxwdHRkZYtWypbylvHwMCAPn364Ovri0wmU7YcwTuC8AYCgfAGAgEIbyAQgPAGgpIhAhGl4OjRo4SEhHw0jSypVMqwYcPYsGEDKSkpypYjeEdYsmQJ+vr69O7dW9lSygUnJydat24tTLegCD4+PrRp0wZHR0dlSykXevfujZ6envgwnaCA5ORkNmzYgJeXF1Lpx9Gc9Pb2Jjg4mGPHjilbiuAdQXgDgUB4A4EAhDcQCIQ3EJSUj+PpKCN8fX1xd3enQYMGypZSbgwePJisrCzWrVunbCmCd4C8vDyWLVtG//790dbWVraccsPLy4vTp08TGBiobCmCd4CAgADOnDnzUUw5fYKOjg79+vVj2bJl5OXlKVuO4B1g3bp15OTkMHjwYGVLKTcaNmyIu7u7WIpAUIDwBoKPHeENhDcQCG8gvIEAhDcQlBwRiCghcXFxbNu2DW9vbyQSibLllBs2NjZ06tRJjPgQALBv3z4iIiI+mpF/T+jevTsmJiaighEAio4nU1NTunXrpmwp5Yq3tzePHj1i//79ypYieAfw8fGhU6dOWFtbK1tKuSGRSPDy8mLr1q3ExcUpW45AyQhvILyBQHgD4Q0EILyB8AYCEN5AeIOSIwIRJWTlypUADBgwQMlKyh9vb2+uXLnCtWvXlC1FoGR8fHyoXbs2NWvWVLaUckVDQ4NBgwaxYsUKsrOzlS1HoESys7NZsWIFgwYNQkNDQ9lyypVatWpRq1Yt0fkk4OrVq1y9evWj63gCGDhwIHK5nFWrVilbikDJCG8gvIFAeAPhDQTCGwhvIBDeQHiD0iECESVALpfj6+tLjx49MDU1VbaccqdDhw5YW1uLER8fOY8ePWLPnj0f1ZTTp/Hy8iIuLo6dO3cqW4pAiezYsYP4+PiP5kN0z+Ll5cWePXuIiIhQthSBEvH19cXa2pr27dsrW0q5Y2pqSo8ePfD19UUulytbjkBJCG8gvIFAeAPhDQQgvIHwBgIQ3kB4g9IhAhEl4OzZswQEBHyU0T0AVVVVhgwZwpo1a8jIyFC2HIGSWL58OZqamvTr10/ZUpSCu7s7jRo1EiM+PnJ8fHxo3Lgx7u7uypaiFPr164eGhgbLly9XthSBkkhPT2fNmjUMHToUVVVVZctRCt7e3vj7+3Pu3DllSxEoCeENhDcQCG8gvIEAhDcQ3kAgvIHwBqVFBCJKgK+vL05OTrRo0ULZUpTGsGHDSE5OZvPmzcqWIlACMpmMJUuW0LdvX/T19ZUtR2l4e3tz6NAhQkJClC1FoARCQkI4fPjwR9vxBGBgYECfPn1YsmQJMplM2XIESmDz5s2kpqZ+tCP/AFq2bImjo6MYDf4RI7yB8AYfO8IbKBDe4ONGeAPhDQTCG4DwBqVFBCJeQXJyMhs2bGDYsGFIpR/v7XJ0dKR169ZixMdHytGjRwkJCflop14/oVevXujr67N06VJlSxEogSVLlmBgYECvXr2ULUWpeHl5ERwczLFjx5QtRaAEfHx8aN26NQ4ODsqWojSkUinDhg1jw4YNpKSkKFuOoJwR3kCB8AYfN8IbKBDe4ONGeAMFwht83AhvILxBafl4W88lZO3ateTk5DBkyBBlS1E63t7enD59moCAAGVLEZQzPj4+eHh40KBBA2VLUSo6Ojr079+fpUuXkpeXp2w5gnIkLy+PZcuW0b9/f7S1tZUtR6k0bNgQd3d30fn0EeLv78+ZM2c+6pF/TxgyZAjZ2dmsXbtW2VIE5YzwBoUIb/DxIryBAuENPl6ENyhEeIOPF+ENChHeoOSIQMQr8PX1pXPnzlhZWSlbitLp1q0bpqamLFmyRNlSBOVIXFwc27Ztw9vbG4lEomw5Ssfb25uIiAj279+vbCmCcmTfvn1ERESIRhYgkUjw9vZm27ZtxMXFKVuOoBxZsmQJpqamdOvWTdlSlI61tTWdOnUSU7A/QoQ3KER4g48T4Q2KIrzBx4nwBoUIb/DxIrxBIcIblBwRiHgJV69e5erVqx/9lNMnaGhoMHDgQFasWEF2dray5QjKiZUrVyKRSPj888+VLeWdoGbNmtSqVUuM+PjI8PHxoXbt2tSoUUPZUt4JBgwYAMCqVauUrERQXmRnZ7NixQoGDRqEurq6suW8E3h5eXHlyhWuXbumbCmCckJ4g6IIb/BxIrxBUYQ3+DgR3qAowht8fAhvUBzhDUqGCES8BB8fH2xsbGjfvr2ypbwzeHl5ERcXx44dO5QtRVAOyOVyfHx8+OSTTzA1NVW2nHcGb29v9uzZQ0REhLKlCMqBR48esWfPHjHi6SlMTU3p0aMHPj4+yOVyZcsRlAPbt28nPj5edMA+RYcOHbC2thadTx8RwhsUR3iDjwvhDZ6P8AYfF8IbFEd4g48P4Q2KI7xByRCBiBeQnp7O2rVrGTp0KKqqqsqW887g7u5O48aNxXSjj4SzZ88SGBgoGlnP0K9fPzQ0NFi+fLmypQjKgeXLl6Opqclnn32mbCnvFN7e3gQEBHDu3DllSxGUA76+vjRp0oRKlSopW8o7g6qqKkOHDmXNmjVkZGQoW47gLSO8wfMR3uDjQniD5yO8wceF8AbPR3iDjwvhDYojvEHJEIGIF7Bp0yZSU1MZOnSosqW8c3h5eXHo0CFCQkKULUXwlvHx8cHJyYnmzZsrW8o7hb6+Pn369MHX1xeZTKZsOYK3iEwmY8mSJfTt2xd9fX1ly3mnaNGiBY6OjmLEx0dAcHAwhw8fFiOensPQoUNJSUlh06ZNypYieMsIb/BihDf4eBDe4PkIb/DxILzBixHe4ONBeIMXI7zBqxGBiGe4ffs2oGhktWnTBgcHB+UKegfp3bs3BgYGLFmyhPT0dIKDg5UtSVCGZGdnc/fuXZKSkti4cSNeXl5IpeJV8Sze3t6EhIRw9OhRIiMjxYe5PjDi4uKIjIzkyJEjhISEiJF/z0EqleLl5cWGDRtITk7m7t27Yo3wD4zg4GAyMjJYsmQJBgYG9OrVS9mS3jkcHR1p06ZNgel+0o4UfDgIb/BqhDf4sBHeoGQIb/BhI7zBqxHe4MNHeINXI7zBqxEtiKeIjIykatWqrF+/nrNnz4rK5QVoa2vTv39/li1bxuLFi+nUqZOyJQnKkG3btlGzZk3WrFlDTk4OgwcPVrakd5IGDRrg4eGBr68vQ4cOZfLkycqWJChDfvrpJ4YOHYqvry+VK1emfv36ypb0TjJ48GBycnJYs2YNNWrUYPv27cqWJChDOnbsyKJFi1i2bBmff/452traypb0TuLt7c2ZM2dYv349VatWJTIyUtmSBGWE8AYlQ3iDDxvhDUqG8AYfNsIblAzhDT5shDcoGcIbvBwRiHgKLS0tAFavXo2pqSk3b95kzJgxSlb1bpGXl0fbtm1xdnYmIiKCU6dOoampqWxZgjJEU1OT9PR0/vnnH9q1a8fYsWNZvXq1smW9UwQEBNCqVSu6dOnCtm3bCA4OFuXgA0NTU5OQkBC2bdtGly5daNWqFYGBgcqW9U6xevVqxo0bR7t27fjnn3/IyMgQ5eADQ1NTk1OnThEZGYmzszNt27YlLy9P2bLeKcaMGcOtW7cwMTEpqCuFKftwEN7g1Qhv8OEjvMGrEd7gw0d4g1cjvMGHj/AGr0Z4g1cjAhFPYWBggLq6OseOHcPc3JyZM2eKD688g6qqKmZmZowbNw57e3uuXbuGhYWFsmUJypAn+Xn79m3u3LnDnj17RDl4BktLS2JiYvDx8UEmk/Hw4UNRDj4wLCwsePDgAXK5nH///ZfY2FiRx89QqVIldu/ezZ07d7h16xaAuEcfGBYWFly7dg17e3vGjh2Lubm5+EjvM1SqVImZM2diaWnJsWPH0NDQEGtGf0AIb/BqhDf48BHe4NUIb/DhI7zBqxHe4MNHeINXI7zBqxGBiKeQSCTo6emRkZHB3bt3WbduHcOHD1e2rHeOVatW8c033xAeHk5UVBR6enrKliQoQ540FiQSCZmZmZw6dQpPT08lq3q3MDIy4tSpU3h4eCCXy8nIyMDc3FzZsgRliLm5ORkZGcjlcqpUqcLJkycxMjJStqx3Ck9PT06dOkVGRgYSiQQQZuNDQ09Pj6ioKMLDwxk5ciQrV65UtqR3juHDh7N27VqCgoLIyMhAT0+voDwI3n+ENygZwht82Ahv8GqEN/jwEd7g1Qhv8OEjvMGrEd7g1YhAxHNQUVFh7969fPrpp8qW8k4ilUpZuHAh06ZNAyA1NVW5ggRlypPGgrGxMWfPnqVq1apKVvRuYmRkxMGDB2nQoAEAMplMyYoEZYlcLgcU6/0eOHBAGI0XUK1aNc6dO4exsTEgzMaHRlpaGgDTp0/n999/Fx8nfQGfffYZe/fuRUVFpeDdIfiwEN7g5Qhv8GEjvEHJEN7gw0Z4g5IhvMGHjfAGJUN4g5cjkYu7UoTt27djbGxM06ZNlS3lvWDJkiUFH+YSfDgsXLiQPn36YG1trWwp7zx5eXnMnTuXMWPGiDUwPyCysrL47bffGD9+vJhuWgIePXrE5s2bGTVqlLKlCMoQf39/zp07x7Bhw5Qt5b3g5MmTJCQk0L17d2VLEZQhwhuUDuENPkyENyg5wht8mAhvUDqEN/gwEd6gdAhv8HxEIEIgEAgEAoFAIBAIBAKBQCAQCAQCwVtDzKMRCAQCgUAgEAgEAoFAIBAIBAKBQPDWKPGcsvDwcOLi4t6mFsEryM7ORkNDQ9kyPmpMTU2xt7d/6T6irLwez95bcR/fP57OQ5F/r4d4x7y7REZGkpSUBIChoSFWVlbKFfQR8nQePI3ID+UgyoRyEPf93UV4tfLjRe0l0UYqH8Sz/m4h6gXlI8qE8hF9EcqhJP0Xz1KiQER4eDjulSqSkZn1WsIEZYNUAjKxkJZS0dbSJCDwzgsLWnh4OBUruZOVmVHOyt5/NLW0uRMYgL29vXjnvKc8KR+AKAevydPl4HmIsqE8pBIJMrGapVIRefBuIfJDOUilEmTCELyTiLwpP7S1tQgICCw2iMm9UiUyMjOVqOzjQCqVio9xv0OId4/yEXmgfJ7UCwDu7u5kZIi+iPJAW1ubgIAX9188jxIFIuLi4sjIzOKPPu64mGm/tkDB63MsKJ5fD4Xyx6dVcTXXUbacj5K7Mel8s/4WcXFxLyxkcXFxZGVm4OL9P7SsXMtZ4ftLZuRd7vmMLLi3T945f35eC1dzPWXLE5SAuzGpjFh9tWDkgSgHpefZcvA8CurjfjVwNdctZ4UfL3dj0vhm7XX+9m6Bq5WhsuV8lNyNTOIrn2P8+2033GxNlS3noyfoYRxfLN7B31+1x83aWNlyPhqCIhL46u/9+E4bQUUHG2XLETzFwbPXmfnfRnx+HISbvaWy5XzQBIVH4f3LimLtJUUbKZM/B3jiaiH8w9viiH8Uv+4N4Ld/V+DsVknZcj567gcFMuaLQSz95QcqOtopW85HycHTl5j+xwrRRlUiT9qlT/oiMjIyWPHvYiq5ib6It0lg0F0GffHtS/svnkeJl2YCcDHTppqNqNSVwd1YRTTP1VyHajb6SlYjeBVaVq7oVqiqbBnvPa7melSzM1S2DMFrIsrB28PVXJdqtgbKlvHR4WplSPUKwmAoEzdbU6o7iSUH3hXcrI2p7miubBkfHRUdbKhR0VHZMgRPcSf0EQBu9pbUcC3dEgWCssXVQviHt8nd6FQAnN0qUaV6LSWrETyhoqMdNT1Ep6syuBPyABBt1HeNSm6u1Kou+iLeRcTHqgUCgUAgEAgEAoFAIBAIBAKBQCAQvDVEIEIgEAgEAoFAIBAIBAKBQCAQCAQCwVtDBCIEAoFAIBAIBAKBQCAQCAQCgUAgELw1SvWNiHeVDVciCYxOZ2pHl3JL8+9T4Wy4EoUE+KaZPT1rWpKRk8/wtX6EJWSiKpXweV1rhjW0BSArN58JO4K4HJ6CVCJhXg836jkYlpvet82Gy48IjEpjaueK5ZZmeEIG323yIzYtBxWphD0j6gISvFffICwhA1WphAH17BjWSLFO6+9Hgll94SGZufn4T21RbjqVTczpDWQ8uoND3ynlkl5+Zhp+8/sgz89FLpNh1WooFs36l0va5c36i+EERqYwrVuVcktzyNILnL0XT2NXU5YMqVuw/ZM/z5CUkUNevpxuNW34vp2iLHZbfIq07DwAIpOz6Fnblpk9CtdKnLbjNhsvPcB/Vodyu4byprzLAEDgH8NIuXMOA/dGVPzap9zSVTYbLj0gMCqVqV08yi3Nf08Gs/bCA+RyaOpmysxuHkgkEnr+fY6kjFzyZHK6VbdmTFvFurmhcel8sfoaKZm5NHE15deeVZBIJOWm922z7nQQgY8SmN63frml+c/BW6w+FajIAw8bZn/WAIlEwtXgGL5ddoLsPBl9G7gytqtiLenjfg+ZtukCefkymle2ZdanDcpNa3mw9tgNAsJjmTmodbmlGRadyMi/dhOTnI6KVMLB2UPQ0VQnITWDkX/u5l5EPBKphHUT+uBoaUzHn1aQlpUDQGRCKr2aVOGXIW3LTe/bZt1JPwIexjOjX9NyS3Pg77s4E/CQppXtWDaqc8H2hNRMvvU5xL3IRKQSCWu+74qjhSHD/9zHjZAY1FSltKvpyOS+jctNa3mwes8J/O8/YPa3n5dLeg+j4/Ge/iexiSmoqkj5Ycgn9GileA9uPnSWecu3I0eOh5Md/07+Cg11NbKycxg1dwkXb99FKpHwvx+9aVj9w/z47poD5/APjeTnLz4p13QzsnKoO3QG3ZrVKkj7+8Ub2H7yKrbmxpz464dy1VOerL8QpvAJ3ctvjfIhvuc5ey+Oxm5mLBlar2D71bAERq+9Sk6ejN517Pm+veI5PxEYw4ydt8nNl9G8ojkzPqlWblrLg81rVxAU4MfEmXPLNd3MjAza1q9Kh249mThzLmmpqXzaqXnB/x+EhTJ6whSGfDWKsJD7fDusHynJyTRq1pKZC/78oNqlq3YcxP9uKL+MHV4u6T2MimHYxHnEJiShqqLChC/68UnbpmRkZtHv+1mEPoxEVUWFYb078VW/bgAM/uEXrvnfQ01VhY7N6zNj1NBy0VpeKKNdOmDuJk77hdG0qgMrxvYq2N516ioS0zLJy5fRo5EH43sr2mknb4UwecVhZHI5ZgY6LPnuE4z0tMpNb3myYu1G/ALuMHfm5HJNNyMjk6r1m9OzW+eCtEeOm8SWHbuxs7XhwtG95ablgwhElDcBUWlsuxHD/hG1Aeiz5AatK5mgpiJlRFN7GjgZkpGTT/s/r9CyojGOJtosOhaGk6k2C3u5k5svIyMnX8lX8f4zaqMfP7Rzob6jEYkZuairSMnJlzOiuQMNnYzJyMmj3eILtKxoiqOpNi3cTOhXx4YWv59VtvQPGqmGFpXHb0FFQ4v87ExuTGmJce0OqOkaK1vaB8GwJk58VrcCGy6FF9m+Ylhd9DTVyJfJ6br4FG0rW1DV1pAd3zYp2Kfr4lO0r1r4Aa07USnEpmaXm/aPCavWQzFv3JfYs5uULeWDJi4tm2Vnwjg+tilqKlJ6/HWOK2FJeDoYsXyIZ0GZ6PbnWdpUNqeqjQEz9wQytq0rbTwsGLL8MocDYmjjYaHsS3lviUvNZMlRP07N7IWaipQuv+7m8v0Y6rhY8MOaM/w7vCUVrY3oMHsHnWo5UNHaiO+Wn2LHD52xN9Vj3KrTHLv9kBZVbJV9Ke81I/7cxaRPm9PAw57E1Ew01BRN/B+XHqRHIw96NalCRnYucrkcgL2zBhUc2+Gn5XSq46YU3R8S3u1q0K9ZZTac8i+yfeKqE3Sv70avhpUe54Fie9/G7vw3ogN5+TJ6ztnKSb8HNK1spwTlHwaqKlJ+HT2Qam4OxCYk03jwRNo2rIG2pgY/Ll7F+dVzMTHQY/Dkxew8fpHebRsxd/k2XOys+HfyV+Tm5ZGeKdpEZc38tfupXcmhyLbeLT35vH0DRi9cpxxRHzDDmjnzWf0KbLhY1Cf8uOkG/wysg5ulHp1+P0HHatZUtNRjzPqrbBvZBHsTHcZvvM7xwGiaVxJtojflz99+oUbtwgFjunp67D55BQC5XE7T6i607tgVgF+n/sioH6bQsl0nvhzQi2MH99KyXSel6P4QUFFRYe74L6leyZmY+CQa9h1Bu8Z1kUjg+6F9aOJZjfSMLBp/9g1tG3vibG9Dvy6tWf7rj+Tl5dP5iwkcv3Cd5vVqKPtS3muGd6xD/5bVWXf8ZpHtq3/og762Bvn5MjpMXkH72m5Uc7Lkx2UHWf59L1xtTJi26gjLD13lu08aKUn9h8kvvy2mbu2aRbZ92rM7g/v35esxE8pVy1sLRKRn5+G91o+oFMVoqykdnGnuZsy4bXe4+SiV7DwZg+rZMKSBDQCVZ52md01LTgcnYmuoyVeN7Zh9MJjY1BwW93HH096A+YdDeJCYxcOkLKJTcpjUwYkOHmZF0o1NzWH89jtEpmSjoSplfo+KuJrrsP1GNL8dDUNdRYKtkSbLB7z+yIS7MRl42uujqaai0G6ly7GgBLpXt6CBkyEA2uoqOJpoEZOSg6OJNluuR3PyO0VlpKYixUDr7a+KlZ6dh9fqG0SlKBrVUzq60aKiKWO3+HHzUQrZuTIGN7BjSEPFjAGP6cfoXcuaM/cTsDXS5MumDszef5fY1Gz+17cqnhUMmX/oHuEJmY/zIJufOrrRobJ5kXRjU7MZt9WfyORsNNSkLOhZWZEH1yNZcDgYdVUJdkZaLB9Us5jmknInKg01FQn1HY0AMNJWA0BVBRo6KTq8tdVVcTLVJjo1G0dTbWrYGbx2emVNflY6d/4eTk5iFAAOfSZjWKU591eMJz3sJrLcbCxbDMKy5WAALo2qglmDXiQHnkHDxBbrdl8SvuUXclJicR22CD0XTx7sWEB2XDjZ8Y/ISYqiQq+fMK7Vvki6OcmxBK/8gZzESKRqGjgPno+WlQtxF3bwcNdvSFTU0DC1o9LIZa99bRKpCioaiui1LDcLuSwf5K99ulKTnp2H1/JLRCZnAjC1axVaVDJn7Ibr3HyYRFaujMGNHRja2AkAj5/20dvTjtN3Y7E11uar5i7M3uNPTGo2f/SvhaeDMfP2BxIen8HDxAyiU7KY3KUyHZ7q0AeITc1i3MYbRCRloqmmwoK+NXC10GP71YcsOHAHNVUpdsbarBhWr5jm0tDY1Ywz9+KKbdfTVJSBnDwZufmyYiNpIpMyCU/IoIGTScG2mbv8mdOrGscCY95I0+vwIZcBAINKjUgOfDeCnunZeXitvEpUchYAU7q406KiGWM33eTmw2Sy82QMbliBIY0cAPCYcpDenracuRePrZEWXzZzYvbeQEVd8FkNPB2MmH8giPCEDB4mZirqgs6V6FDFski6sanZjNt8i8jkLDRUpSzoUw1Xc122X4tgwaEg1FUUZWL5EM83ur68fDnZeTIAcvNlmOqqA0+ViXwZOXkyJCjM35WwRHwHKkbm965ty0H/tx+ISMvKZejfh4lKTAdgWp96tKxix5gVp7gRFkd2bh5DWngwrGVlACqOWkmfBq6cCozAzkSPr9tVZdaWS8SkZPLXsObUcbFg7o4rhMWl8jA+jaikdKb2qkfHWg5F0o1JzmDsytNEJKajoabCwsFNcbUyZNuF+8zbdVWRB6Z6rBr5ZiPh8/LlZOfmP/5bhqm+FlGJ6eTly6lsp3jn9KznwoEb4Zjqa6GrqYa9qR4AjStZs+dqyFsPRKRl5jB4wWYiE1IBmDGwNa1qODP6nz3cCI4kKyePYe088eqgeB5dhiygb7NqnLodip2pAd90rc+MtUeJSUrn75HdqFvRljkbThAek8SD2GSiEtOYNqAVneoWnRkak5TGmH/3EhGfioa6Cou+6oybjSlbTvsxd9NJ1FVVsDczZM2EPq99bQEPYlFTkdLAQ9GeezKCLCU9i+v3I/l3VHcAtDXUih0bEZ9CeEwyDT0qvHb6JSUtK4ehi/YQmZgGwPR+TWhZzYHvlhzmRkgM2bl5DG1dnWFtqgPg9uU/9Gnszmn/B9ia6jOiY21mbTxDTFI6f33Vjjqu1vy65RzhsSk8iEshKimdaZ82pqNn0RnSMcnpfL/0CBEJaWiqqbLQqzWu1sZsPXeHedvOo66qgp2pPqvHdH2j62viYcdp/wdFtqVkZHM9JJp/vlbURU/nQavqDoCiA93DzpSox/flbZKWkcWAib8TEZsIwM8j+9O6fnVGzvHhemAIWTk5eH/SluG9FO+ECu29+axDU05e8cPO0pRv+3Vm2t/riYlP4r+pX1OvqhuzfTcTGhHDg6g4IuMSmTmiH12a1SmSbkxCEt/+uoSImHg01NX540dvKjrYsPnQWX5ZsgV1NVXsrczYMHfsa1+bpakRlqYKX2BmbICRvg6JKeloa2ogl0NmVg75ujIysrIL9tuw/zRX1i8AQE1VFUO98h2jl5aZxcDpvkTGJQMw84setK7jwbe/reX63XCyc3Lx6toU727NAHD8ZDyftanHyet3sDM3ZmSf1kz33UF0Ygr/TRhEXQ8nflmxh7CoeB5EJxAZn8yM4d3p3Kh6kXRjElMY/fs6HsUloammyv++74+bvSWbj13m11V7UVdVxd7CmHUzv3yj67v/MIag8Gg6NKiCf2hkwfb6VZwJi4p/o3O/LunZeXgtvUDk4zbR1G5VaOFuwdj117j5IImsvHwGN3ZiaJPHPmHiHnrXseP03ThsjbT4qqUrs3f5KXzC57XxdDRh3r4AwuPTFW2i5Ewmd61Ch2rWRdKNTcli3MbrCp+gKmXBZ7UKfcL+ANQet4lWeL/ZDMHGrmacuRtbZFtUcib5MjkeNgov/EltOw75RWKqp4Guhir2JjoFx+69EfHWAxHpaWmMGNyX6MhHAPw4Yy5NW7Vl4ugvuX3jKjlZ2fQf9gUDvL4GwNPFkh59P+fcqWPY2FXA65sxzJsxidiYaBb8vYxadRuwaM4MHoSHEPEgnOioSH6Y9gttO3Urkm5cTDSTxnxNVMRDNDQ0+WXRvzi7VWLXlg38b+4s1NTVsLV34N81W9/o+kLu3yU46A4t23ciKMCv2P+vXjyHmbkFdhUckcvlXLt8nj9XbACgR9/PObJ/91sPRKRlZNJvzEwiYxTlcPb33rRp5MmI6Qu55n+X7JwcvPt24ctPFfWiXdPe9OvSmuMXr2NvZc7oQb2YsngZ0XEJLJk9nnrVPZj11yrCHkURHhlDZGw8s77zomvLhkXSjY5PZOSMRTyKjkNTQ52/po2moqM9m/YdZ/Y/qxV1gbUFmxZPf+1rszIzwcpM0fY0NzHE2ECPxJQUbC3NaeKpmPGjo62Js70NUbEJONvb0Laxos5SVVWhsqsjETHFvXZZ8yG3SwGaVHHg9O3QYtv1tTUAyMnLJzcvnyddFhIkpD0eDJCelYObrekbpV9a0tLS6Tt4OI8iFX0Tc2dMpm2r5nw5ejxXb9wiOyubL4YN5GuvwQBYulTl8769OHbqDBXsbBnzzRdMmjGH6JgYlv29mAZ1azNjzgJCwh8Q/uAhkVHR/DJtEt06Fe2biI6J5esxE3gYEYmmhgb/LppHJTcXNmzZway5v6OmroaDvR1b1yx9o+u7ez+YO0H36NS+DX4Bdwq2N6pfh9DwBy858u3w1lpbx+8mYqStxtoh1ZHL5aRlKwzqxHZOGGmrkZMno/M/V+lazQwTHXUSM/JoU8mEaZ1c+HTpDZaef8Q275qcuJfAHyfCCwIHQTEZ7PiiJrFpOXT79xrNXYuOsp6y5x7ftXSgmo0e1x+mMHXPPdYOqc7i4+EsH1AFJ1NtUrLyiukNiEpj5KaAYtst9TRYPbjoFMVKFjr8djSU5MxcAM4EJ1HBuOi0oUdJWQREpVHVRo/kzFxUpRJm7LvP5fAUPCx1mdXFBV2Nt9vYPRYUj5G2GuuG1S6SB5M6uBXkQac/L9C1uuXjPMilrYcZ07tUpK/vFZadDWf7F3U4fjeeP46HFAQOgmLS2flVXWLTcuj610Wau5kUSXfKrjt818qZ6rb6XH+QzJRdgawbVptFx0JYMbgGTqY6pDy+d08TEJnKyA23i2230NdgzdBaRbYFx2egra7CoOXXiEjOonNVC0a1dCqyz6OkLPyjUqlmo/dG9/FtkHT7OGo6Rnh8twa5XE5+lsJ82vf8ETVdI2R5Odz+uQsmdbqipmdMXloiRjXa4PDpNPwXfEbU0WVU/mErSX4neLTvz4JO04yIu1T5cTu5KbHc/qU7BlWaFUk3dP1UbLuMRtehGmkh1wlZPxWP79bwcM9iKo5chpaFE3kZKcX0pj8M4J7vt8W2qxta4j56VbHteRnJ+P3ak6yYECr0noyaXvnNhjgWGIORtjrrvmjw+LlXlPdJnT0w0lFXPPcLT9Kthg0muhokpOfQprIF07tXoe/fZ1l6Opjt3zTm+J0Y/nfkbkHgICg6lV3fNiE2NZuui0/RvGLRANzkbbf5rm1FqtsZci08kSnbb7PuiwYsPBzECq96OJnpPv+5j0jhmzVXim23MNBk7fDSmZHOi04SEJnC4EaOVLEpGnjbdSOCTtWskEoVtf32a4+obmeIrZF2qdIoKz70MvAucexOrKIu8K5btEx0qoSR9uMy8b8zdK1h/VRdYM70rh70/e8Cy86Esv3rBhwPiuWPY/cLAgdB0Wns/KYhsWnZdP3jLM0rFh0YMGWHP9+1caW6rQHXw5OYssOfdd51WXTkHiuG1MHJ7EV1QQoj190ott1CX4M1XnWLbDPV1eCr5o54zjqqWI6vgT0OpjoF/+/yvzMERKUyuEEFqtgYEJ+eg6GWWkGgztpAsyBA8zY5dvshxjoabPyugyIPshTXPblnHYx0NcnJy6f9zzvoXscZEz1NEtKyaVejAjM/bUDvBXtZctSfXT904ZjfQxbvu1EQOAiKSGTPj12JTcmk0y87i3Xm/7T+PN93qUl1BzOuhcQyaf05Nn7Xgd/3XGPVyLY4WxiQkpFTTK//wwS+9j1WbLuloQ7rRxdtQJvqafF1+6rUGLcOVamUQc3dcTTX53poLFZPvV+sjHQ4GxSJqZ4m6dm5+D9MoJK1Efuvh5GSWVxDWXP0xn2MdbXY/FM/5HI5qY/TnNq/JUZ6WuTk5tN24jJ6NPLARF+bhNRM2nu68vPgNnwyYw0++y+zZ8Ygjt4IZtG2swUG7c7DOPbNGkxMchodflpBy+pF2yITlx1kbK8m1HC24uq9CCYuO8jmn/rx29bTrJ3QF2crY1LSiz+D/mExfPm/HcW2WxrpsnHSZ0W2BUcmoKOpTr85G4iIT6Vr/UqM6dmYsJgkjPW1GL5wG3cextG4igPTB7RCVaVwMMyOcwF0qVepoG54mxy7GYaRniYbf+ihKAeP82BK38YF5aDd1PV0r++GiZ4WCWlZtKvlxKzPm9FrzlZ8D11n10+9OXYrjEW7LhcEDu48SmDv1D7EJmfQccZGWlRzKJLupFUn+L57PWo4WnD1fhSTVp1g4w89+H3HRVaP6YqzpREpGcVHwvs/iOPrv/cX225ppMv6cd1LdM1hscmY6GnxxV/7CHqUQCN3W6Z91qRIHqRmZHPoegjfdKpdwjv5+hy5cANjAz22LfxRUQ4yFIM2pn/1GcYGuuTk5tHSazKftK6PqaE+CclpdGxcizmjBtBt1Gz+23yAA39P4ciFm/y2amdB4OBO6CMO/TudmIRk2nwxldb1inZ8/7BwJT8M6UHNSk5c8b/PhIUr2bbwR+Yt386GeWNxsbMiOS2jmF6/e+F4z/ir2HYrUyO2/PbiJX2uBtxHJpdja6HwKAu+H0y9/uNQV1ejhWcVmtTyICk1HVUVFSb9bw0XbgVRxbUC874bhJ5O+S0FceRSAMb6Omyd883j/FC8C6Z5dcNYX4ec3DxajZzPJ81rY2KgS0JKOu0bVGX2Vz3p/sP/+G/7Cfb9/h1HLwfw+7qDBYGDwLBIDi76npjEVNqNWkArT/ci6U74azPjPu9ATTd7rgSGMeGvzWyd8w0L1hxg/YwvcbY1Jzkts5hev+BHfPHrimLbLU0M2Dx7RLHtP/27lZlf9OCCX3BZ3K4y4VhANEY66qz7qlHRNlGXyoU+4ffjdKv5lE+oYsX0HtXo+9cZlp4KZvu3TRU+4XBQQeAgKCqVXaObEZuaRdeFJ4t15k/edovv2lWkup0R18ISmbL1Juu+asTCg3dY4dUAJ/MX+YRkvln9HJ+gr8naLxsW2/48opKzsDTQLPhtZajFuftxmOqqk56TT0BEMhUt9TlwK5KUrOIayppTRw9iZGzM8s17FHmQquiIHT91NoZGxuTk5NCrbSM69eiDsYkpiQnxtGzfmUk/z2fQJx1Y6fMX6/cc49TRQ/y7aF5B4ODenQA27jtJXEw0fTo0o2nLooMsZk78nm/GTqRqjdrcvHqJmRO/Z/nmPfz12y/8u3Yrjs6upKYkF9N7x/8W3385uNh2c0trlm7cVWz7nCk/MGH6HK5cPPfc69+7fTOdevQGIDEhHgND44J2qZW1DdGRESW/ma/J4TOXMTHUZ+c/sxXvnnTF+3fm6KEYG+iTk5tLs/6j6dWuGaZGBsQnpdCxWT1+HfcFXb74kX/W7+TQsvkcPnuF+Us2FAQOAoLDObryN2LiE2k5cAxtGhat18b/+g8TvuhPLQ9XLt++w7hf/2HnP7OZ67OOTYun41LBhuTU9GJ6bweFMGxS8eW1rMxM2P7XrBde5xW/IGQyGbaWRX37w6gYbt8NoYa7a5HtKWnp7D95ke8G9+Jt8yG3S19Fu4nLCQiPYWi72lR1VAxkmz+8A71/Xoe6qgoOFkbMGdquVOd8Uw4ePY6xsRF7Niv6JlJTFX0Ts6f+iLGRETk5OTRq25U+PbpiamJMfEIindu3Zv7PU+nwST/+8lnOsT1bOHT0BPMW/VkQOAi4c5eT+7YRHRNHsw7daduyaN/E9xOnMXHsKGrXqMalq9f5fuJU9mxewy+/LWbr2qW4OjuRnFK8b+KWfwCDvxxVbLu1pQW7Nhbvm/hhyizmTP+Jcxcvl8XtemPeWk94JUsdpu65x8x99+lQ2RRPe0Wn2LYb0ay7HIVMLudRUhYh8ZmY6Kijo65CI2fF6JRKFjo4m2ojlUpwt9TlYWJhQehQ2RR1VSk2hpq4mGlzP7Zoo/XM/UTuxhZ/edWpoM8P24PoXt2czlXMiv3f3VKXwyPrFNv+PNwsdBjWwJbeS26gr6FKDVs9VJ8ycFm5+Xy53p8pHZzRVlchPi2f0IQsWrqZMLurG78cCOaPE+FMaOv0klTeHHdLXabuusPMvUF0qGyOZwVDALZdj2TdpUfkyx7nQVzGU3mg6DCuZKGLs5kiDzysdHmQWNgY7VDZvDAPzHW4/8z9Pn0/gbsxz8sDQ8Zv9adHDSs6Vy0+0sLdSo/Do0vW8ZqXL+NiaBKHRjXAVFedfkuuUMPWgGaPgyJZufl8ueYGUzu6oa3+7q1Apm1bidAN0wjbNAvjmu3Rc1F07MVd2E7MqXUgl5Ed/4is6GDU9IyRauhgUEkxNU3bpiJals5IpFJ0bN3JjiuMYBrXao9UVR0NYxu0LF3IirpfJN2UwDNkRt4tpkffxZPglT9gWq8HJp7FR2Do2LpTfdqhEl+fqrYB1acfJic5lqC/vDCu3Ql1g+Ll7m3gbqXP1O23mbHTj47VrPB0UDzTW68+ZN2FcMVzn5hBSFw6Jroa6Gio0NhVoa2SlT7O5rqK595anwcJhe+XjlWtFM+9kRYu5rrcjy06cvH03TjuRqcW01PXwYRxG2/wSW1bOle3LvZ/d2t9jowrm2+W7B7VlLSsXLyWXyIgMgV3K/2C/+28/ogpXRSjrdOz81hyMpiNX5XMwLwNPvQy8C7hbqXH1J3+zNwdQIcqlng6KOrabVcjWHfxAflyOY8SMwmJTVfUBRoqNHJRjEKpZKmHs5nO47qgaJnoUNXycV3wuEzEPFMm7sVxN6b4CN86DkaM33yLHrWs6VzNqtj/3a30OTymSbHtzyMpI5dD/jFcnNQCTTUV+vtc5Nz9eBo4K+qCXSMbkZaVh9fKKwRGpmKqp17sHOWxCq+HrRGTN5xj+qYLdKzpQB0XRR245cJ91py6g0wu52F8GsHRyZjoaaKjoUbjSor3RSUbI1wsDZFKJVS2NeZBXOF7pmMtB9RVVbAx1sXV0pB7UUUN9OnACIIiE4vpqetiwdiVp/ikngtdPR2fo9eY49N6lujaktKzOXgjnKu/foqmuiqfLtzP2TuRaD2n7pUAEomEv7xbMHbVaWQyOfVcLMjIfvsdHx725kxafoipq47QqW5F6lZUBG02n77N6iPXyZfJeRiXzP3IBEz0tdHVVKdJFQcA3O3NcbU2VuRBBXPCY5MKztupbkXU1VSwNTXA1dqEexFFR/meuh1G0KPiI3/rVbRjzL976Nm4Ct0auBf7v0cFc07O9y7RteXm5XMu4AEn5nthZqBD71nrqOlijYGOJlfvRTB3WHsqV7Dgq//tYM3R6wxqUzi4Y/vZAKYPbFWidN4UdztTflpzkmnrTtHJ05k6ropnfMvZQNac8FPkQXwKwVGJmOhpoaOpRhMPxVJFlWxNcLEyUryL7E15EFdoyjp5OivKgYkerlZG3ItMKJLuaf+H3I0oug2grps13y89Qs8Glehat/h35jzsTDk++82+b5CbJ+Pq/SjmDGpOZTszvv7nAGtP+jGwhWKAlVwu55v/DjKkdTVsTN7+wBkPZ3smLFrFT3+soUuzOtSrqliSa9PBM6zcdYx8mYyH0fHcfxCFqaE+utqaNK2taDu4O9nhZm+FVCqlios94ZGFo647N62DupoqthYmuFWw5m540Y60E5f9uBNavHOtfjU3Rv3qS++2jejeoviM0cou9pxdOadU1xifnMrwGX/zx4+K9chz8/JYtuMo51fPxdrMGK/pf7B+/yla1atO8KNo2jSozoKxQ5j293p+W7WTqV/2LVV6b0JlJ2sm/r2Fyf9to0vj6tT1UHjDzUcvsXLfOWQyGQ9jErn/KAYTA110tTRoWkORZx4O1rjYmSOVSqnsZEN4dOEz3rlxdUV+mBvham/B3QfRRdI9eS2IoPCoYnrqVXFi1MJ19G7pSbemxWeuV3ay4fS/E0t0bXvO3MDZ1hwXW4t3KhDhbq3P1G23mLHjtsInOCraC1uvPGDd+bDH/jiTkNi0xz5B9SmfoIezud7zfUI168c+QRsXCz3uxxT1BKeDYp/vExyNGbfxGp/UtnuBTzDgyPiWb3TN8ufMTH9SH//5eW3Gb1TUgXWdTMjIKT5gs6yp6FGFWZPGMmfqBNp26katugr/v3PzOjatXkZ+fj4RDx8Qev8uxiam6Ojq0qBJcwDc3Cvj6OqGVCqlUuWqPAwPLThv207dUVdXx9rWDmfXigTfu1Mk3XOnjnE/qPjA09r1GvLTmK/p2vNTOnQr3vap6FG1YFmlV3Fo704cnF1xdHF7biBCLpdzYPd2Nu47UfD7Wcrj+xCVXR0ZP+9fJv3mS9dWDalXXfFttw17j7Fi2wFk+TIeRMVwP/wRpkYG6Gpr0axuDQA8XBxwdbBV1AVuToRHFL5furZsiLqaGraW5lR0tCMo9GGRdE9cvE5gSNFlwwDq1/Rg5IxF9OnYgh5tinuAKm6OXNj0d6muMT4pBe9J8/hr2ugi27Oycxgwbja/jPFGR7swQCeXyxk+eQHD+3YuFrh4G3zI7dJXcWD2YFIzsxk8fwv+4TF42Jvz9+4LbJ3cn2pOlkxddYTft51hbK+S+cGyoIqHO2MnTWfC1Fl069SBBnUVQbR1m7ezbPV68vPzefAwgrv3QzA1MUZXV4fmTRR9E5XdK+Lm6oxUKqVqZfciMwy6d2qPuro6drbWVHR14c69ovXhsVNnCAgq3jfRsF4dvh4zgU97dqdnt+J9E1U93Lly8mCJrm3n3gO4Ojvi5uL04QcinE21OTjSkyOB8UzZfY9eNS1oVdGEFecj2PVVLfQ1Vem37AY5j5dTUFctfOFKJIW/pRLIlxW+oJ99LT/vRX1ghCcqz4zsmtPNjSsPUjgUEE/bP65wfHQdtB4vrQSlmxEBMKCeNQPqKRoL328NxMFEMXpGLpczanMgrdyM6VxV8QIz1lFDT0OF1pUUDZ0OlU1ZcCT0ufetLHE20+HQqPocDoxj8s5Aete2plVFU5afe8Dur+uir6XGZ0uuPJUHhaOzpBLQePxbKpEUzYNnbrnkOd04B76tXywPfu3hzpXwZA4GxNJm0TlOfN+oaB6UYkaElYEm1W31sTFUVB6tKpniF5lCMzcTRR5svE3LSmZ0rmZZ7HzvAlqWzlSbeoCkm0cIWT8Vswa9MKrWkuhjK6gycSeq2vr4/94fWZ4iMi5Ve6rzTCJFovr4t1SKXCYr/NezefGc8lFtyn4kUpUi2xwHzCHt/hUSbxzi5vR2VJ95DBX1whFhrzsaXN3ADG1bd1KDzmNSp8sL9ytLnM11OTS2OYf9o/hp2y16e9rR2t2C5WdC2DOqqeK5//dcwVIuGqqF90Lx7inpc1+cg983L/7c967GlbBEDvpF0Xr+cU7+0BIt9aee+zKcEQGgq6lGI1czjgZEFwQiHiVmEpmURR1HRVAmPF4RiGky5wgASRk5tJh7jGPjy+8j7h9LGXgXcDbT5dB3TTgcEMPkHX70rm1LK3dzlp8NY/fIhooy4XOxsC5QeVFd8Br18ejGxctEzypcCUvioH80bX47xYnxzZ6pC0o+I+LU3TgcTXUw0lY8D63dzbkanlQQiADQ1VSlsYspRwNj+Kq5E0mZinXyJRIJEclZmOtrvOz2lQnOloYcnfoJh26GM2n9Ofo0cKV1NTuWHfNn38Ru6Gur0+f3feTkKWYuaqg9nQcS1B+/pyTSZ95Lz+TC87zrkSk9UJEWXQ5y3oDGXL4fw4Eb4bScvpXTM3sXCRyUZkbECf9HOJobYKSrqI/bVLPjSnAMveu7EJlY2EkTmZiOhaFihkR9V0v2/qgYzb7p3N1yMd0u1iacmOfFwSv3mLjsIH2bVaVNLReWHLjCwZ8Ho6+jSa9Za8nJVXTCqD/1TEolEtQff3OheN3wbB4Uv5Zjvw5DRaVoHiwY3oFLQY84cDmIZuN8OPf7l2g9tWxPaUaeWZvoU9PFCltTxaCf1rVcuBUaTZ+mVXAwNyoYbdahjhtn/MIKjnsYl0xEQgr1KpbP9zlcrIw4Nqsfh66HMHHVCfo2dqd1DUeWHr7J/ml90dfWoM+v2wqW+Xq6fpZKJWg8zpPXaZcemdWvWDmYP6Qll+9FcuBqCC1+WsuZXwcWLQdlMCPC2liPCuYGVK2g8AQdajtxJqCwY2bautMY6mgyouPbnw0B4GpvxekVv3DgzDV++H0ln3VoQtuGNfDZeogjPjMw0NWmx+hfnioHhfdDKpGgrq54RqVSKflP173Fqt7ieXBq2exi5WDh+GFcvH2Xfaev0njQj1xaOx8tzcL6vrQzIrJzcuk34Te+H9iN+tUUHfY3g8JQUZFiZ6kIsHdtVpeTV/3o264x+jpatG+k8BhdmtVh9pLNL755bwEXWwtO/TOBAxf8+OHPzXzWpi5t6lbBd+cpDi0ei4GuFp9M+IPsnOL5IZFKCr4FI5VKiuZHsbqheH6c+GtCsfz4fdSnXAoIYd+5WzT5cg4Xl/yElsZT+VGKGRGXAkLZevwKO05eIy0zm7y8fPS1NflhQMeS3p63grO5HofGt+CwXzQ/bb1F7zp2tPawZPnpEPZ810zRJvr7zFM+ofAeSSSSkvuE59zzg2NbFG8T9anBldAEDt6OovW8Y5z8sfUzPuHNZ0RYGRad/RmZlImFvqLOrudsyq7RihG6my+FP7cdUdY4urix68Qljh3cy8yJY+jR93Oat+nAmiX/svngKfT0DRjcqxM5OQoPoK5e2E6TSKUFv6VSKfn5T7+HXv3c7zh2ERWVoh5g5oI/uXbpPEcP7KFLszocOHcTTa1CD1CaGRHXL19g99aN7NuxhYz0NHJzc9HT02fk+J8AuHz+DNa2dljbKoLsxiamJCclFLRLIyMeYWbx9vsvXB1sObfxL/afvMDYX/+mX5fWtG9SF58Nuzm2aiEGejp0/XIi2TmKgSIa6oXtE6lEUvBbKpW8Ig+Kp312/R/F8mDxT99y8WYAe46fp0Gfr7m63QctzcJ8L+2MiOycHD4dPZ2xw/pSv0blgu1yuRzvn+bRrklderQt2sk96TdfjPT1GDXo7c+GgA+7XVoS9LQ0aFrFgcPX7mNuoEPQwziqOSme/W4N3Jmz4USpz/kmuLk4cenEAfYePMKYiVP4vG8vOrRpyb9LVnLq4A4M9PXp1Ks/OTmKGbQa6oV1o1QqLfgtlUqRlfK9dPHYvmJl4s8Fv3D+0lX2HDhEnWbtuXnuKFpPvZdKMyPiwuWrbNy6ky079pCWnk5ubh76err8NP67kt6eMuetBSKiUrIx1FKldy1LVKQSzgQnUs/BEB0NFfQ0VHiQmMnFsOJT317Ffv84vmhsR1x6DvfjMnAy1eJ2ROHoggaOhqy6GMHg+jbIZHLuxKTjbqlLWEIWnvYG1LbTZ49fLIkZuWgZFGZ2aWZEAMSl5WCqq8692AyuP0zl126Kxu7sA8FoqakwuqVDwb4SiYRmrsZcDk/G096As8FJuJi9/eVQolKyMNRSo09ta1SkEs7eT6CegxE66iroaaryICGTi6FJpT7vfr8YvmziQFxaDvdj03Ey0+Z2ROHItAaORqy68IDBDewVeRCdhruVHmEJmXhWMKS2vQF7b0WTmJ6LluFTeVCKGRE1bPWJS8shKSMXfU1VzockMqCeokKfvf8uWmoqfNfq7c44eRNyEqNQ1TXErGFvkKqQEngWfbe6SDV1UNHSIyvuAal3L0KH4tOcX0bCtQNYtfuC3JQ4MqPuo2nhRHpYYXBH360+0cdXYdlyMHKZjIyIO4oR5bFh6Ll4outcm/gre8lLS0TlqeXGSjMaPCc5Fqm6JqpaeuRlppISdAGL5gNLdR1vQlRyJoba6vSpY69499yNo76TCToaquhpqhKekMGF4Hi+aeX66pM9xb5bkXzZ3IW4tGzuxabhZKbLrUeF77AGziasPBvKkMaOiuc+KhV3a33C4jPwdDCmdgUj9tyIIDEjB62nOrjLYkZEalYuWbkyzPQ0yM7L58SdGIY3dS74/87rj+hcw7qg4nO31uf2zMLORI+f9pVrEAI+7DLwrhGVnIWhthp9PG0VdcG9eOo5GSvqY01VHiRkcDEkAVo4v/pkT7H/djRfNnMiLi2b+zHpOJnpcPvpMuFkwqpzYQxu5PC4LkjF3epJmTCidgVD9t6KIjE9By3Dp8pEKWZEWBtqcjk0kazcfNRUpJy9H8/n9e1JzcolO1eG6ZMyERSLdxNHJBIJtewNCz5QvenKQz6r8/Y/DhuVmI6hrgZ9G7qhIpVyOjCC+m6W6GiqoaelRnhcKhfuRkGH6q8+2VPsuxbK1+2qEpeSyb2oZJwtDLgVVjjKqYGbJSuOBzK0pQcymZzAiEQ8bI0JjU2ljosFns7m7L4SQmJaFlrGugXHlWZGhI2xDpfuRZOVm4eaipQzgZEMbFYJSyMdVKQS/B7EU9HaiK0X77NwcFMAYlMyMdPXIi0rF98jfvwxrHmprvt1iExIxUhXi0+bV0NFKuGUXxgN3O3R1VRHT1uD8JgkLgSWfo3UPRfvMKJLfWJT0rkXEY+zlTE3QwpHGjf0sGf5oasMa++pyIMHsXhUMCc0OpG6FW2p42bDrguBJKRlYvOU4SvNyLNaLtbEJqWTlJaJvrYm5/zDGdymFpZGepjoaxMWnUgFCyPO+IUVWXN3+9kAujVwL5dAEEBkYhpGOpr0beKBVCrltP8D6le0eVwO1AmPTeZCUOmXpNh75T5fd6xNXHIG9yITcbYy4lZY4bePGlayYcWRWwxtU12RB4/i8bAzJTQmmTqu1ni6WLHr0j0SUzPRempWQlnMiLA00sFUT4uwmGQqmBtwJuAhbtaKQQHLjtzkdngs68d2e8VZyo7I2ASM9HXp17EpKipSTl7xp2GNSuhqaaKvo0VYZCznbt559YmeYc/Jy3zbrzOxicncDY/Exc6KG0GhBf9vXNOdpdsP492zLTKZjIDgh1R2sSfkUQz1qrpRt4orO45fJCElFRvNwkByaWZEyOVyvpz1N81qV+azDoV1iLWZEX73wklMScNIX5fjl29T0cEGiURCy7rVuHAriHpV3Th11Z+KFWxKfe1vQmRcEkb6OnzWth4qKhJOXr9Lg6ou6GhpoK+jSVhUPOdv33/1iZ5hz9kbjOzditikVO49iMbF1pyb9wrfb42qubB092m8uzVV5EdoJJWdbAiJjKOuhxN13B3Zeeo6CSnp2JgVdraUZkbENK9uTPNSPNtrDpzDPzRS6UEIeMon1H3iE2Kp72xa6BPi0xU+oZTn3Xcrki9buCp8Qkyqwic8TCr4fwMXU1aeCWFIE6fHPiEFd2sDwuLT8XQ0obaDMXtuPs8nvPmMCEsDLaRSCf6PknGz1GPb1Yf8/plixktsajZmehqK2dKnglnc/+0HRaMjIzA0MuaTTwegoqLC+VPHqdOgMdq6Oujq6fMwPJQrF86U+ryH9uxg2IjviI+NIfheEI7ObvjdvF7w/3oNm7Ju+X98PuwrZDIZdwP9qOhRlfDQYGrVbUDNOvXZv2sbiQnxWNkUBuhLMyNi3JSfGTflZwA2r11BUIBfQRACYM/2TQXLMoGin6iGZ72CD1Rv27Ca3v0Hl/raS0tETDzGBnr079oGFRUVTly8QaNaVdDR1kRfV5uwR1Gcu1b8+xavYtfRs4wa1JOY+CSCQh/iWsGWG4GF77DGnlXx3bSXLz7tgkwmw/9eGFXcHAl5GEm96h7UrebOjsNniE9KwdaycDWF0syIkMvlDP9pAc3q1qBfl9ZF/jdl0VK0NDWYMLxfke0+G3dz8859tv354mWeypoPuV36IlIyssnOzcPMQIfs3DyO3Qjmy851MdTVIj4lo6C9evJWCC7WJq8+YRkSERmFsZEhAz7thYqKlOOnztK4QT10dLXR19MjNPwBZy5cKvV5d+zZz3cjhhMTG0fQvfu4OTty/WZh30TThvX5b/lqvho2CJlMhl/gHap6uBMcGkaDurWpX6cW23btJT4hEVubwrqhNDMifp7yIz9P+RGAFWs34hdwR6lBCHiLgYjAqHRm7LuPVApaqios+KQibo+XXGqx6BJOptrUti/9x4OrWOvy2bIbRKfkMKOzS5FRlACzurjyw44gVl2MIC9fTq9aFrhb6jJj331C4zORy+V0rmKG9VPrJL4OQ1bfJiUzD211FX7vWQlVFSkRyVn8efIBbubatP6f4iH9qZ3iI92T2jsxcmMA6Tn52BhqsqhXpTdKvyQERKYxY28QKhIJmmpSFvSqTEULXZzNdGj+21mczHQKlswqDVWs9fl0yRWiU7KZ2bVSsTz4uVslxm8LYOX5h+TJ5PSuZY27lR7T9wQRGp+BXC6nU1ULrA1fPw9UVaRMaOdCj38vIZfLaeZqSht3MyKSsvjjeChu5jq0XqiYDjmpgystKpoy/9A91l58RHJmLrV+PsHXzR3wavT2P874PDIeBRK6cSYSqRSpmibOQxagbe2GloUTN6a0RNPCCT3n0jcEdewrE/BbP3KSonD8bEaREd0ADv1mEbxqAtEnViPPz8OsYS90bN0J3TiTrJhQkMsx8eyEhnHxqcElJScxkvvLvy+YB2zZcjA6dh6vfb7SEhCZyvSdtx8/9yr89mkNKlrq42KmS7Nfj+FsrlOwXFNpqGpjSN9/zhKdksWsHlWLjFYCmN2zKuM33WDl2VDyZDL6eNrhbq3P9J23CYlLRy6HztWtsTZ8s7WHP/3nLDcfJpOZk0/NaQdYOrQu5nqaDFl6gdx8OTK5nE7VrGn71IeDd15/xM+fVH2jdMuaD7kMAPj/1o/0sFvIcjK4MrY2FUcsQdexxhud83UJiEplxq4AVKSP64Le1ahoqYezmS7N559U1AUVjEp93io2+nz63wVFXdDdo3hd0KMy47fcYuX5cPLy5fT2tMHdSp/puwMIjXtcF1SzfKMyUbuCES3dzWjz+ymkEglNXE1pV9mCiOQshi6/Qm6+DJlMTqdqVrStrFgO6adO7ny5+iqTd/jT2MWE1u5vf/q1/6MEpm28gFQqQUtNlYVDmlLR2ggXCwOaTNmMs4UBdZxL/3HIqvYm9P5tH1FJ6fz8WYNiyyH90q8h41adZsWJAPLyZfRp6IqHrTHTNp4nJCYFuRy6eDpi/VQQorR4OlvQupodLadvQyqBJu42tK+hqFvn9G/IF/8dJTs3n94NFGkDLNp7naO3FaPCR3esgauV4WunX1L8w2OYsvIwKlIpmuqqLP6qM5XszHCxNqbhd//iYm2Cp1vpZwZUc7Sk58w1RCWm8cvQdkVGjwH8Oqwd3/+3j2UHr5Ink/Fps6p4VDBnysojBEclIJdD1/ru2JjovyCFV6OqIuWnfi3oNGUlcjm0qO5EO09FsP3nwW0YNH8Lufn5VHWwYGDrwuVWtp/1L9c1eAMexDF17SnFu0hdlUXebahoo1hyqfGEVThbGuHpWny5tldRtYI5veZsJSopndkDmhUvB4OaM3bpUZYfvUVevoy+jd3xsDNl6tpThEQnIQe61nXB+g2XRur961ZuhsaSkZ1L1ZG+rBjdmVrOlsz8vBmDF+0mL19GlQpmDGhRBYAJK45hb2ZAmynrABjerib9mlV+WRJvjN/9B0z63xpUVKSKD4VOHE4lR1tcK1hRt/84XOysqFuldAM1AKq5OdBt1Gwi4xL5dfTAIrMaAOZ/P5hRvy5hybbD5OXL+KxDEyq72DPpf6sJfhiNHDndW9TDxvz1Ox7O3bzDlsPnqeJiz+6TiqUHfKZ8TWUXe8YM6Ebr4VNRVVHBw9mWod0Vy5HNGPEZ3tP/Ii0jEztLM/6d/NVrp/86+IVEMPnfbaioSNBUV+ePsf2pVMEKVztz6nvNwsXWgjoepR9YVc3Fjh4//EFkfDJzRvQuMqsBYN7IPny3cD3Ldp8iL1/Gp23qUdnJhsn/biP4USxy5HRrWhMbs9K3DUrCNwvWcPDCbRJS0nH/dBJzv+lNl8Y13kpazxIQkcL0HbcL2kS/fVZL4RPMdWk25wjOZrqv6RMM6Pv3GaKTM5n1SbXn+IRqjN94nZVnQsiTyelTxw53awOmb3/iE+Rl4xP+PsPNB0kKnzBlH0uH1admBSN+6VWdL1deIjtXRq/HaQP879AdjgUqltb5tk1FXC3e/hJxd/xv88uU8aioqKCpqcUvi//DtZIHTi5udGhYAwcXV2p61i/1eT2q1WBwzw5ER0Uy+ZffisxqAJj660J++n4Ea5f9R35ePj0+/ZyKHlX5ZcoPhAXfQy6H9l0/KRKEKEtkMhmHdu9g25GiSzaNnzqbUV79mfnjGBo0bUGLtm8/YOd3N4SJC3yQqkjR0tDg7+nf4e5cATcHOzw/GY5LBVvqVS++PM+rqO7uTJcvJhIZG8+8H74qMqsBYMGPI/h25mKWbNpDXn4+/bq0poqbIz8u8CE4PAK5XE73No2LBCFKy7lrfmw+cIIqbo7sOnYWgCU/j8dQX5cFSzfi7mxPvd6Kd/2s0cNo08iTMb/8iYONJY37jQRgRP/uDOz+dttHH3K7FKDnzLXcDIkiIyuHysMXsWp8b8wNdRg4dzM5efnI5HK61K9Ee0/FgO553h34bM5GVKQSrIz1+Oubrm+Ufmm57R/I+CkzUVFRQUtTk/8Wz8ejkhtuLs7UaNgKVxdH6nuWvm+iRrUqdOjZj8ioaH77ZXqRWQ0AC3+dyYjvJ/DfslXk5+Xz+ac9qerhzg9TZnIvOBTk8EnXTtjavFnfxIsY/u1Y9h06SnxCIg6VPVn460y6d+7wVtJ6Gon8eQvTPcPVq1epXbs2+0fUVuqHf+cfDsFYR42hDcpnCvm7xJbr0YzcGMCBb+tTzebNXgpvwvxD9zDWUWdoQ3ulaVAWNx+l0G7xea5cuUKtWrWeu8+TslJ1yn50K5Rvx++DHQtQ1TXGqtWQck23LEgLu8WtGe0L7u2T+3hwTDOq2RkqWx7z9gdirKPOsCbv7iwbZXPzQRJtfzvBlSuKEUPKKAfvcxmA4uXgeTwpGwdGN6aabekDyWXF/ANBirqgsYPSNJQnNx8m027haQ5P6UH1CqavPqAcmLvjCsa6mni1ersdl+8KN8LiaD1jG8fmDqO6U+k7q98GczacwERfG+8OJZ9R+6FwIziSFuOXcGRmP6o7vv1g3ov4dcs5TPS08GpbQ2kaypMbITG0mryWU8tnU6Ni8e+7KIPZvpsxMdDji97l+2HJd40NB07jNe1PTvz9AzVcleeTflmxBxMDHYZ3b640DW+b63fDafbVr8XaSwX+YWyLcvUP8/YFKHxC09LNLH1f2XL5ASNWXWbHsQtUqf789mp5s2jODIxMTBjoXbqZ1B8Ct29cpVuLepxZ/wc1PUofSC4rZv21ChMjfb76rPxm+b0rrN9zlKE//qr0Nqpoly4p0hdx4dg+alVX3mDMGXMWYGJizAjv97NvoiRcvXGLei06vLT/4nlIX72LQCAQCAQCgUAgEAgEAoFAIBAIBALB6/HWlmZ6G4xt/W6M/PmYGdvGRdkSBC/Artv3ypbwwTKu/dtfSk3w5ogyUH6MbeembAkfPeO7lc/HbQUvZkLfZsqW8NHzQ8+SfVtM8PaY6FU+H/YUlIwfB3VStoSPjnEdSr+EjaBsGTVhirIlfPT89PUAZUv46BHt0neLKRNE38SLEDMiBAKBQCAQCAQCgUAgEAgEAoFAIBC8Ncp9RsSGK5EERqcztWP5jqy3++k4FS102D68Jroaqvx3+gFrL0cil0MTFyNmdnZBIpGw9Xo0/zsehhzoU8uSr5sWXePTe81tHiRlsX+E50vT23UrhoXHwpBIQEddhfk9KuJqrsOJuwn8fCCYvHw5OhoqzO3uhrulLo+Sshi06haRydn4/dT4rd2HDZcfERiVxtTOFd9aGs/D9sdDVLLQZftXddDVUC34DVDdVp8FvRRrXG+/HsmiYyHI5XIqWeixqG8VNFQL42Veq67zIDGLA9++/ANWu25G8fuRYKQSCdoaKizoWRlXcx22XIvk7xOhAOTL5QRFp3F7SgsycvIZtPwaEclZ+E9t8XZuQimIOb2BjEd3cOhbvqM7znnbo21TkSo/bENFS5fEG4cI3TAD5DKsO4zAomm/lx4ftmkWSbePA6Bp4YTLsEWoaGgRdXQ5j/b9iYlnl3K9pvUXwwmMTGFatyrlliaAzfc7qWSpx46RjdHVVGPI0gucvRdPY1dTlgypC0BGTh5eyy8RHp+BilTCgAYOeDVVfINixOorBESmIJPLqetowpye1ZBKJQxfcYn7MWkAxKfnUMPOkOXD6r1QR3hCBiNWXeHmwySmdK1c8I2LkNg0vFdc5skngsZ3qES7Klbci0nlixWXC46/H5vG3wM86VDVik//OcvFkAT2jG6Ku1X5fKfmfS0H0SfXErHvT7JiQqn7ZxAqmjoASisHL2LDpQcERqUytUv5fUwewHb8XipZ6rH96wZEpWTx5eprBf+7H5PGX5/XpEMVSxLScxiz8Sb3YtKQSiSsHOqJg6kOvx++y+rz4WTm5OM/o22J0tx85SGLjtxDKpHQoqIZ07p6kJ2Xz/cbb+EXkYK6qpQFvatSxcaAR0mZDFp6mYikzBKfvzSsOx1E4KMEpvct/YcY3wRLb18q2Rix+4cu6GqpExabwqhlJ4lNyURFKmHfpG7oaKiRkJbFqGUnuReVhFQiYfW37XA01+crn2MEPExAJpdTz9WSX/s3QiqVvDC9q8ExjF99Br+H8awY0Ya21SsU+f/tB/G0nrGNld8U/u9GWBzjVp0mIzsXA20N9vzYlXyZjFYztnHnUWKZ3Yu1x24QEB7LzEGty+ycJcGsz8+425uzZ+ZA9LQUH3DMyM6l/qi/6dbAo0DPppO3+H3bWeRyOZ+1qM633RSj/k/eCmHyisPI5HLMDHRY8t0nGOm9+MOmV+4+YpzPfm6HRbNqXO+CD1gDHLsRXHCuSnZmLB3zCQCTlh/i2A1F+2nW4NY0r+ZEfr6MFj8s4c7DWO4vG4uulvqLknwt1p30I+BhPDP6NS3T874Ki4GLcLc1YdfkPuhpqTPw912cCXhI08p2LBvVGVDkz9DFewiNSUZVRcqgllXxfvw9is4zNpKWlQNAZGI6vRpW5OcBzV+Y3o4LQSzYfhGpBHQ01Vno1RpXa2NO+z9g4MJd2Jsq6tZBraoxpFU1HsWn0n/BDiIS0gj658syvfbVe07gf/8Bs7/9vEzP+yoMG/fHw8mOA39PRU9Hi89+WMDpawE086zM6tnfFey3+dBZ5i3fjhw5Hk52/Dv5KzTUCz+4+fnE3wmPjOXkstkvTe+y3z3GzF/KrbvhrJ0zhg6NC9cvnrNkC+v2nUJdXZW/J32JZ2UXbgaFMmruEtIzs9BQU2P2t5/TpJYH+fkymgyZSGDIQ8IP+KKrrVn2N+cxaw6cwz80kp+/+OStpfE8jNuOxMPRin2/jyE5LZMv5qwgNikVVRUp4z7vQI9minu3+dhlFqw5gBw57g7W/DN+QJG8eZb9528xzXcHgWFRnP1vIh6Oig9ubjtxlXmr9yGVStDR1OB/3/fHzd6SywEhfD1vNVqa6pz464dyufZnWX8hTOEfupfv2uI2322nkpU+O75tgq6mGn8dvcv6C2FIgJGt3ehVx560rFy6LT5VcEx4fDrjOrgzvPmL+1YO3o7k511+BEWncnR8K9ytFe+azZfC+ePIXSSAqZ4Gi/rXxtpQi6uhCYxaexUtdRUOjn27vnjz2hUEBfgxcebct5rOs7iZaeLmXpn1e46TkpzE2K8GEx8bi4qqCt+MnUTH7oqZXlPHjWTvji1Y29qx4+iFguPHfDGQO/63kclkeNZvxPR5/0MqffEY3+0b1/DvonlIJBJMzMyZ+8cSrGxsOX/6BF9+3hNbe0U7qN+Q4fQb8gXnTh3n50mFo6nv+N9mx7ELVPSoSrcWdbl3J4Ar92PQ0dUt0/uyasdB/O+G8svY4WV63lehV7MDHi4OHF6+AD0dbfqOns6pSzdpXq8Ga3+bXLBf+2HjSExOJS8/n57tmjHxS0Ud1m7oOKLjEtDQULRPLmz6+6XppaSlM+iHOUTExCGXyZk5ehjtmtRh/Z6j/L58EwCyfBkBweGEn9hARmYWPUdOJSI6jgcnN72lu6DgXWmjDpi7idN+YTSt6sCKsYUzH6/cfcQ3f+4iJy+fvs2qMr63ou32xaLt+IfHIJPLqV/JjnleHV7qE7af9Wf+5tOP6wA1Fn3VGTcbU07fDuXzuZuwNzcEYEibWgxpV5uHccn0m7ORiPgU7i0rv5kGK9ZuxC/gDnNnTn71zmWIplkFKrtX5PierSQlpzD4q2+JjY1HRVWFSWNH06t7ZzIyMuk7eDghYeGoqqjiNbg/3wwf+tLz7jlwmEnTf8H/ThBXTx2iiodi5Y+ExESGfv0dYQ8eYqCvz8r//oe9rQ0XLl/F+5vv0dLW4sLRvWV2fe/V0kxvgr6mKodHKj7aEp+Ww7Lzjzg2qg5qKlJ6/HeNKw9ScDTRYu6hEPZ/Uxt9DVUGr7pFW3dTXMy0AThxN+GlhelpWroZ07mKGRKJhCN34vn5QDDLB1TFREeN1YOqYq6nwcl7CUzceZdtw2tiY6jJ4ZF1qDzr9Fu7B8pEX1OVw6MbvPA3gFwuZ9ruII5+1wBjHXW+XHOTvbej6VFD8cGfE0HxqJT0/lc0pXNVC8X9D4zl531BLB9Uk541rehZU3G+k3fjWXg0GCNtNYy01Tg8ugEe04+V0RW/n6hq61N92iEA5Pl5hG6Yjse4Tahq6nFzRjuMa3VATdfohcfbdB5Fhd4/AYqgRPSJVVi3HY5ly8FI1bXIeHSnXK5D2RhoqXFkXGHDfVgTJz6rW4ENl8KL7PdNS1caupiSnp1H+99O0MrdHEczXeb0qoaepsLUDV9xif23I+lYzZr/BhV+eGrE6is0cTN7qQ49DVWmd6/MgdtRRbZbG2mxd3RT1FWlxKVl02b+cdpWtsTFXK9Ad3p2HnVmHqLp4zTWf9mQHn98mO+nZ3nTcqDrVBP3Mevwn9e7yPaPrRy8CH1NVQ6PaQKAi6Zuwd/p2XnU+fkozVwVH4OevMOPrtWt+KSWDRk5+fA4cNbCzYx+de1oMf9kidK7F5PGktOh7Pu2MbqaqsSlZgOw+nw4OhoqHBvblPD4DL7fdJNNX9bHxlCLw2Oa4DHlYFlfulIx0Fbn+LSeBb9HLj3Bjz08aeBmRWJaFhqqKgBMWneO7nWc6FnfhYzsPOQo7vvczxuh97gD2uufI+y7HkqnWi9eMtPSUJvfBzfln4M3i/1PLpcza8slmnnYFGzLy5cxaukJ/vuiJW7WRsSmZAKgIpVyfFpPqoxZTXRy5pvfCCVioKPJyfneRbb9tuU0tV0L70N8Sgaz15/g2Nxh6Gtr0m/OBjp4uuFqY8KPyw6y/PteuNqYMG3VEZYfusp3nzR6YXqWxnos+qoTf+26UGR7Ulomk5YfYuuUflga6RGbnA7A/stB3I+I5/SC4aRkZNFr1jqaVHZARUXKyfneVP/qf2V4N5SPgbYGx2cXdsR7t6tBv2aV2XDKv8h+Izt70sjdlvSsXFpPWUurag44WRqye0qfgn06zdhIh9ov/1Btq+oOdK3rikQi4dD1EKavP83qMV0BaFbZviD48QQbEz2Oz/4cty//edNLfWcw0NXm7Mo5Bb+/6tOeAZ2bs3Zf4ftcLpfz4+JVnF89FxMDPQZPXszO4xfp3VbxrB+9eBOVl3T4PY2VmRF//DicP9YVNc9+98I5cO46V9YvwD/4ASPn+HBi6c9oa2mwZNo3ONlacCf0Eb2+n8utLYtQUZFyduUcKvcYWQZ34d3EQFeL0/9OBCA9M5tfvu5JNRc7YhNTafrVHNrWrYy2pjqT/tnKuf8mYmygy5BZS9l1+ga9Wr54gJ6rrQUrp3jx3cL1Rba3qetB96Y1kUgkHLxwm6k+21k380s83R3ZNPtrBs7wfavX+y5ioKXGkfEtAQiISGbblQcFgYDef56mTWVLDLTVC/aRy+V4Tj9Au6ov/ziui7kevkPrMX7j9SLbHUx12DmqKfpaaqw5F8rs3X788bkntRyMWfNFA7yWXSz7i3xH0DcwZPdJxUdtM9LT+Gn2Ajyq1iAuNoZuzevSvE0HtHV06NLzU3r1H8xPY74ucvz0eX+gp68I6Iwc2o9De3fSrnP3F6Zn7+DExn0n0NM3YMPKJcyf9RML/l4OQKNmrfhzxYYi+zdo0rxAX1jIfQb2aI9H1RoA7D55habVP6zlsg31dIsED77u142B3duxZuehIvttXDQNfV0d8vPzaTXoezo2q08Nd8W9WLNgMpVdHUqU3rIt+6jq5si2P2cSGBxO31HTadekDp92asmnnRTl6+j5q/z63zqMDfQxNtDnwqa/sWva+xVnfn95to06vGMd+reszrrjRdvx43334zu6BxXtzGg3cRmd61XCw96ced4d0NdWDLIZ+ttW9l66Q+d6L17eunVNF7o1cFe0ia7eY/qqo6yZoGhXNavmWCT4AWBrasDJ+d64DFlQVpf8TmNooM+VkwovmpaezoLZ06lRtTIxsXHUbd6eDm1aIpFIGDfqa5o2akB6egb1W3akfesWuDi92J+5uTixfvm/jPh+QpHtvyz4H43q12H7uuVcuHyVSdNns8rnT+p51mLnxpX0HfxFmV7fGy/NNHPffdZfiSz4PXpzIIcC4wiNz6T7v9do+8dlOv99hbsx6cWOHb05gEOBcYCiA6Lu3HOAwoxO3nWXjn9dofX/LrHPP/ZNZRYjTyYnO09Gbr6MPJkcUx11whOycDPXxlBLDalUQn1Hw4K0c/Nl/O94OKNbVHjFmRXoaKgikSg6zdOy83nSfV7FWg9zPUUBrWqtR1RK9htdx8y9Qay/9Kjg9+iNtzkUEEtofAbd/r5Im0Xn6PTHBYKi04odO+rxvvC4A2iOwgTk5cv4aWcgHf53ntYLz7HPL+aNNJYGOXIyc2Xky+Rk5uZj8fhe5ebLWHwsmNEtnUp0nmfv//PYeTOKbtUsy0b4KwjbNIuY04UNjHtLvyPxxiGyYkK5PacHN6e349bPncmIuFvs2HtLRpN4Q1EJ52elc3W8YgS8PD+PkLVTuDmrEzemtSHh6v4y1ZwWcg0t64poGFmhoqWLYdVWJPudeOkxqlp6Cm1yOflZ6QV5UFbM2OnHugthBb9HrbvKQb8oQuPS6bb4FG3mH6fjwpMERacWO/bbtYp9QfG8e85QvNjz8mX8tPUW7X8/Qat5x9h3K7LYsW9KY1czdDSLxn211VVp6KLocNXRUMXRTJfox++DJ0GIvHwZWbmyYvcxOy+fY4ExdHiF8TDSUadWBWNUVYq+6jVUVVB/PNMoIycf2eMO3qc5cDuKxq6m6GiUXbz6YykHOrbuaJrZv3Sft8HM3QGsv/ig4Pfo9Tc45B+tKB9/nqXN76fotPjMc8vHqMf7QmFAAB6Xj+1+dFh0mta/nWLfM0GtsuSAXzRNXE3R1lAlJTOXGw+S+aSWooNWW10F7cfPYg17Qyz0Sz4ade2FBwxr7IDu4zJo+rheuRudRpPHZdDeRJuY1GxiUrJKrXv6pgusPV0YXBq59AQHb4QREpNC5zk7aTl9K+1/3kFQRPER/d8sOc7BG4p3WlpWLrXGrwMU933i2rO0nbWd5tO2sPdqaKl1vYzARwmoqUhp4KZ4hxjpaqKqIiUlI4frobH0rK8wddoaquhoKN5HT4IQefkysnLykPDy97u1sS5V7U2eWw9sPHeXJpWsMdMvHM1/9PZDajia4WatCPI9/b9XMXXVEdYcvV7we8SfOzlw+S4hUQl0/GkFzcf50ubHZdx5GFfs2BF/KPYFSMvMKehsz8uXMWHpAVpPWErTsT7suVj2AcT7kQkEPYqnTa3CDoXQ6EQq2ppiqKuFVCqhYeUK7LkYCIAECWmZinoiPSsHC6OXj4S0MdGnqqNlsUE0m0/58UkjDyyNFHW2mYFi1lbQwzgaVa6AVCrBUFcLE31trt6PKPV1TVt3irUn/Ap+j/z3IAeuBRMSnUTnGRtpMWkN7aauJ+hRQrFjv/n3AAeuBQOQlpVDzdFLgMdlYuVx2kxZR/OJq9l7+V6pdb2KJh526GoWHdmtraFGI3dbAHQ01XCyMCI6qainiUxIIyw2mYaVbF96fl1N9cK2aVYOZdlE+umPNazafbzg95ez/mHf6asEP4ym7ZfTaDzoR1p4TSYw9FGxY7+Y+Tf7Tl9V6MrIKuhsz8vLZ/zvK2g+9CcaDpzArhOXyk7wY5rWroyeTvGyLpdDZlYO+fkyMrKysTRVvBdy8/KYv2IH4wf3KNH5bcxNqObmgOSZMrD39FV6t2mIqqoK1dwcyMnNIyouERc7K5xsLQBwq2BNWmYW+fmyN7rGyf9tY/X+cwW/v563iv3nbxEcEUv70b/R5Ms5tPpmHnfCitevX81dyf7ztwBIy8yian/FiMy8/Hx++HMTLUbMpfEXs9l95sYbaXwWSxMDqrnYAWBmpIeRnjaJqRmAoo2fkZ1Lfr6MzOwcLIxfPkvW2dYcN/vifktXS7OgPKRmZJe5Z3iaGTtus+78U/5hzRUO3o4kNC6NbotO0mbeUTr+dpygqJRix377eF947B+mHwAet4+23KT9guO0mnuUfTdL/658GUHRqXg6mqCppoKmmgqVbQw4FljUk18OTcBcX5MKJjovPZeTuS6uFnrFtns6mqCvpXjnVbU1JCqp9G2gZ5kzdQKb1ywv+D1+xDCOHthDWMh9+nZsTtfmdejZphH37gQUO3bciKEcPbAHgPS0tILO9ry8PGZM+I4erRvQuWltDu7Z8cY6n8bc0qqgk9/UzBwDIyOSEhX1k2f9RhgZmxQ75kkQIi8vj+yszFc+v7XqNkBP3wCAytVrEh1Z8udlz7ZNBTM0Ssuk33xZuf1Awe/hk+ez98R5gh9E0HrQGBr0GUGz/qMIDA4vduzwnxT7AqRlZFKp/UBAUTeMnfM3TfqNpF7vr9h59OxraXsZzerWeG7doK+reNZzcvPIyc197feGRCIhNV3xTktNz8DSzLjYPlsOnKRnuzefqfm+tlGbVHFAV7PoDNjIhFTy8mVUdrBAVUVKz8ZVCvQ9CUIofMKr80ZXq7BNlJqZXaZtopcxYeoslq8p7I8YNmIMew4c5n5IKM07fkKd5u1p1KYLAXeK90cMHfEdew4cBiAtLR2X6orZ7Xl5eXw3YQoNWneidtO27NhTtv0RVpYW1KiqWEHG3MwUIyNDEhKT0NbWomkjxeBuHR1tXJwdiYp+ed+tq7MTldyKBzIDg+7SoqliZZ56nrU4dOxkweoZb4M37mHqUtWM+YdD+bS2Fbn5Ms6FJDG3uxt5MjkbhlVHQ1XKpbBkfjkYwtLPS7Y8ytrLkdgZaTKziyupWXl0+vsqLd1MiizRk5CRS58l1597/JOZDy/CRFedLxvbUWfueVSlEgbUtcbBRAsDLVUCotOJTM7GWEeNo3cSqGiheNn9e/ohvWtZoKuhUrIbA2y6GsXCY2Fk5eaz2btGsf9vvBpFM5fiL73S0KWqBfMO3efTOjbk5ss4G5zA3E88yJPJ2ejtqbj/oUn8cuAeywYW1/A81lx6hJ2RFrO6ViI1K4+Of1ygZUXTovc/PYc+Pleee/yzMx2eR1p2Hm0Xn0NTTYUJ7Vxo6GSMRCLh527utPjtLOqqEpq6mtDQWXF//j0VRp/a1uiWolN045UIFh4JJis3ny1fFH0m8vJlHPSPZUK78hlNYOLZmQc7FmDeuC+yvFxS7pzDaeCvyPPz8fh+PVI1DVLvXSJ86xwqfbOkROeMPrUWDVNbHPvNIC8zlds/d8awagukahoF++SmJeA/v+9zj38y4vtF5CRFo25UaBzUja3ISXx1J2TI2snEX96NlqUzFcp4+ZkuNayZtz+Qz+pVUDzv9+KZ17sGeTIZG79uiIaqCpdCEvhljz/Lhr54yaKnWXM+DDtjbWZ9UpXUrFw6/n6Slu7mBaODQfG89/7rzHOPf3rmw+vyKDET/4hkqtoaFGwbtuwiZ+/F0bySOe0qFzVwRwNi8HQwxkDrxVPhX8WdqBS+WHmZ8PgM/vy8drHGws7rj+hdx+61z/88PqZyoAy6VLNi3sEgPq1rpygf9+OZ26uqoj74op6ifIQm8Mu+Oywb/PLlBZ+w5sID7Iy1mNW9sqJ8LD5Dy0pmxcpHn38vPPf4J7MdSsLOG5H09lQEHsITMjDWUefrNde4G51GQxcTJneqVCyoVhKC49KRSqDz/86gIpUwtbM7tSoY4W6lzz6/KDpWteROdCqhcRlEpmRjXoogB0BXTyd+3XGFfo0rkpsn4+ydCBYMbExevpwt33dCQ02Fi/ei+XnrJVZ8U7KlnlafCsTeVI/Z/RqSmplDu5930KqqHRpqT933tCw+mb/nucc/PfPheQRHp6Cjocbniw8QkZhOF09HvutUk7C4VIx1Nfnyv6PciUiicSUrpvauV3Dfh/x1mDOBEbSoYkv7GiUbmPEsqZk5rD55hy1jOzJmReHyEsExyeTly+g5fw9JGTkMbeFB/yYlW0ayWwN35mw4Qf+WNcjNy+eMXxi/D+9EnkzGtqn90VBT5ULgA2atPcaq8SUbzbbq8DXszQyZM7QdKRnZtPlxKa1rOqOhVtgOSUjNoPv0Nc89/tmZD89jyorDTB/Yiot3HhZsc7I0xj88hoj4FEz0tTl89R7u9oqZafOHd6D3z+tQV1XBwcKIOUPblehanuV+VAIymYyOP60gJy+f8b2b0La2Kx4VLFi8/SzDO9YhPiWDq/ciiEwoHrh8FV3rujJ363n6NausyI/AhywY1oq8fBlbfvwEDTVVLgZFMGvjGVZ+16VE51x1/DZ2ZvrMHtic1Ixs2k5bT6vqDs/kRyaf/LLlucc/PfPhdXkUn4r/g1iqOZgX2b7jYhBd6riWaNb0hlP+zN9+kaycPHZMKuxYOhPwkGYTV1PBzICfBzTDzrR0SyD2aFmf2b6bGdC5Obl5eZy+6s/iH7zIy89n1+JJaKircf5mENP/Xs+6X0u2pMGKnUextzRj7neDSEnPoMWwybRtUKPIMjzxyal0Gfnzc49/euZDaZBIJCz4fjD1+o9DXV2NFp5VaFJLsYTg/9btpV/Hpug+p4OqNETFJRacE8Da3JiI2ISCgAfAzhOXqFnREZXXqHeepnvTWvyycjeft29Abl4+p27cZeHoz8jLl7Fj7kg01NW44BfMjKU7WTO9ZMuhrNh7FnsLE34d0ZuU9ExajZxHmzoeRfImITmNruMXP/f4JzMfSsLVO2HI5HJszRX3Zt43fWjgNQt1dVWa16xEkxpuJT7Xs6w7eIG5a/aRlZ3L7gWjXvs8r6JLDRvm7Qvgs/pP/EMc8/rWVPiHEY0e+4d4ftntzzKvki2buObcY//Qs5qiffTbcVp6WDzTPsqm958v8A+PZzW8iEpW+izYH0hyhmL5tzN3Y4sFHHZee0S3mjbPO7zUbLgYRrNK5q/e8RV07NaThXNm0Kv/YHJzc7lw5iSzfv+b/Lw8Vm47gIaGBlcunGX+rMn8s2pzic65cdUSbO0rMGXO76SmpNCzTSOatW6PhkZhWz8xIZ4B3Z/fxnoys6Ak3Lx2GZlMjrXtqz3QiEF9OX/6OE1atqV1h5LVZQBb1q2kSYs2Bb8vnDlBpya1sHNwYvLsBdjYFW1f7d2+iTn/8ynx+Z+mR9smzPprFQO7tyM3N49Tl27yx5RR5OXls8dnDhrq6py/7sfUxcvYsHBqic65bOs+KthYMH/CV6SkpdOs/yjaNfZEQ72w0zo+KYWO3s9fWu1Vyya9ihYDRuN3N5ThfTtTvVLhTMQhE+agoqLC4E/a88WnL8+Pob060mvkFJxafUZWVg67fYrWV3l5+ew5fp6p3wx+I63w/rZRn0dUQipWxoVBTWsTPc76FwaxBs3fzOnbYbSs4UQHz1fXDeuP32T+5lNk5uSxa3rhx87P+IXR5Pv/cLAwYvaQNtiZGb6W3ufRs1tnZsxZwOD+fcnNzeXkmXP8/fsc8vLyObBtHRoaGpy9cJnJs+aweVXJ+iOWrFpHBXs7fp8zg5SUVBq16UL71i2KvKPiExJp2/35/RFPZj6UhMvXbiCXybGztS6y/cHDCG75BVCz2ustKVi1sjvbd+/Ds2Z1Dh45TnxCIgmJSZgYv3gViDfhjQMRNWz1CY3PJDkzlyvhKdRzMEBdVUpGZi4Tt94lICoNqVRCdl7JR5OcvJfIneh0Nl5TdPZk5OQTlZJNBePCRqexttorAw4vIikzl8N34rkwrj6aalI+X36T8yFJ1Hc0ZEZnF4auvo2aioTKVrqoqkiITM7m5N0ENgyrzsNSjBToXcuS3rUs2Xs7loVHw1jU273gf1fCk1l9MYIdX9Z6yRleTQ07A0LjM0jOzOVyWBL1HI0U9z8jl4k7AvCPTEUqkZBTmvt/N5470WlsuqKI1Gfk5BOVnEUFE+2CfYx11EsUcHgRFyc0wVJfk8CoVD5fdo1j3zVEU03K6gsPOfpdA6wMNPlm/S02X42gkbMxJ4Li2ehdm4eJJb//fWpb06e2NXtuR/P7kfss7ltYKE/fT8DdUhdTXY2XnKHs0HWsQVZMCHkZyaTev4Kea12kqurkZSdxf80kMh4EIJFKkeWWfIZMst8pMiLuEHtWsU5hfnYGOUlRaJoVNl7UdI1f2dH6Qp4XAS1BpNqx30wcPp1O2MbpxF/ciXnj579wX4ea9kaExqUrnvfQBOo5GT9+3vP4cctN/CNSHj/vz58F8zxOBsVyJyqVjY+XTcrIyScqKYsKpoWNfWMd9TIJODyPrNx8vlh5ialdqxSZfbBkSF1y8mR8u/Yqp+7G0qxioTnYef0R3WpaP+90JaaipT7Hx7ckJDaNkWuv0qKSOZqPOzlTs3K5GJLAPwNL1lldUj6mcqAMatgbEhr3uD4ITXyqfOQycdttRfmQlrY+iONOVCqbLitG0Srqg+zi9UEpAg7PIzUrl0uhifzzeU0A8vLlXH+QxOwelfGw0mfk+uusv/SQz+uXfqZJXr6MR0lZ7BjRkKDoVIYsv8K5Cc3pV8+OoOhU2i48jYu5DtXtDFAt4fJ/T1PT0YyQmGSSM7K5dD+G+q6WqKuqkJGdzQ9rzuD/QLGsY3Zuyd9Lx/0ecScikfVngwDFOvWRSek4mBV2Thrrar4y4PAicvNlnL8bxbFpn2Cqp0Xf3/dR08EMA20NroXEMqd/IyrbGjNiyXHWnQ5iQDPF1OplX7cmJy+fb5ac4GTAI5pXfvkI8Ofx644rjOxQHXXVogM78vJlXL4fw/5J3ZBIoPMvu6jrYoGrleErz1nLxZqQqESS07O4eOchDSrZo66mQkZaDuN89+MXFvO4bsgrsc5jN0O48yCW9ScUU9IzsnOJTEjFwaKwQW6sp/3aZm7vxTs4WxvjYm1SJBBhpKfFL0PbMWDuJtRUVajiYFGwDM3fuy+wdXJ/qjlZMnXVEX7fdoaxvUpf9vLy8vEPj2HrlP4kpGbQ4acV1K1oS+uazly5+4g2Py7DyliPOm42qJZwCZynqeVsSXB0EsnpWVy6F0n9ijaPy0Qu45cfw/9BHFJJ6crEidvhBD6ML1g2KSM7j8jEdBzMCwP4xnpaZRJweB5ZOXl4/bGX6f2aovPMrIkdF+4y7bOS5UPfJh70beLB7kv3WLD9An9+2Y7qDuZcXTgUXU11Np4O4Jt/DxYJUpSE2h7O3H8YRVJqOhdv36Vh9Uqoq6mSnpnF9/OXcft++ON7XvIycPTSbQKCHxYsm5SRlU1EbAKONhYF+5gY6L12wOFF5OblsWzHUc6vnou1mTFe0/9g/f5TNK1VmaMXbrLrf5MIjyo+crQ0PG+U39MDMoIfRjP1z3Vs+e3Nv1FQu1IFgh/FkZSWwSX/EBpWcVbkTVYGYxdvwC/kUanz5tiVQALDIll3SDFaOSMzh4i4ZBytTQv2MTbQLVXA4XkkJKfx5a8r+d/3/QHIzctn+Z4znPWZhLWpId5zlrPh8EX6tq77Wuf/rG09Pmtbj52nrjNv9X7++WHgG+l9ETUrGBEal0ZyRo7CPzibFPqHTTfwj0hW1BGlmP1y8k4Md6JSCv1D9vP8g8YrAw4voqKlPl5Nnen152n0NNWobm9UpI0il8vZeyOCnaPffMT23hsRXAlNZMeoN/+mXrVadQgLuU9KchJXL57Hs0Ej1NXVSc5IZ+q4bwn0u6Voi+bklPicp48d4e4df7auXwVARkY60ZGPsHcoXCnByNikVAGH55GYEM+4r4Yye1HJlsP7c8UGcnJyGPf1UM6eOErjFq9e0//A7u1cv3yB9XuOA1C5Wk1OXL+Hjq4u2zeuYdyIYazdebhg/5B7QWRkZFCl+uv1GXlWqUjwgwiSUtK4cCOARrWqoK6mRnpmFt9N+4PbQSFIpVKyc3JLfM6j564ScD+M1Y+XTUrPzCIiJh5H28KZ+iaG+m8ccHgRx1YtJDU9g/7fz8LvbiiVXR1YNmcC1uYmJCSn0O2rSXi4VKCJZ7UXnuPQ6cvUrebO/iXzuB5wD6+Jc7m45Z+C73wcv3idKq4OmJsYvrHe97GN+iKeNz7+6bGMK8b2Iic3n6//2MGJWyG0qP7y1Uw+bV6NT5tXY9f5QOZvPsVfI7tRzcmK63+NRFdLnY0nbzHij13sfCpI8abUqVWD+yGhJCUnc/7iFRo1qIu6ujrpGUl8O24St/wCkZTyHXXk2En87wSxar2iPyI9I4NHkVE4ORT2R5gYG5Uq4PA84hMSGfrVaP5ZNK/I9qysLPoN+4pfZ/yEjo72C45+OT989w3fjv8Jz2btqOdZCyeHCqiqlnwQfmkpkzU32ribcDAgnrMhSXSpqhi15XPmIfbGmvzZ153YtBw6/3212HEqUgmyx09zdn7hYy2Xw7weFanvaPjCNN9kRsSpe4k4GGthpK0wEq0qmnDlQQr1HQ3p4GFGBw/FNSw8GoqBlhp+kWkExWZQb9558mVy4tNz+Xz5TVYPfvHL7Wk6VjFj/Paggt/hCZmM2hTIks+rYKz9+iOan9DW3YwD/rGcC06g6+OlhnxOh2FnpMWfn1YlNi2HTn8WH62qKpUULMnydKBILod5n3jQwOnFszXedEaE5eMRp5Us9XAz1+F+XDrIQVVFgq2RIuDUsYo5Z+4nYKilRlBMGnV/PUV+vpz49Bz6L73KmqElq5A7VbFg/Nai6/3uvBFN1+rlsyzTE4yqtyXx+kGSA89hWkcRpY885IumqR2u3n+QmxLL7Z+LR+8lKqoFhkmW93QHrRzngXPRr/jikTtvMhJc3ciyyMjvnIRIdJ1qvvSYAs1SKSZ1u/Fw5+9lGogAaFvZkgO3Izl7L56uNRSjgP47EYy9sTZ/fV6b2NRsOi4svna8qlRScB+LPe99qtPA2bTYMU94WzMi5HI53669Sit3C7rUKB5YUFeV0r6qFftuRRYEIjJz8jkZFMu83tVfO92ncTTTRU9TjYDIFGraKxov+29FFQlMlCUfUzlQBm0rm3PAL5pz9+PpWl1hCHxOhWBnrMWf/WoQm5pNp/8Vn0Kt+nR9XKR8yJnXqyoNnItPS39CWcyI2O8XTfOKpgXPnJWhJvbG2lSxUXQytq9sydn78SU617NYGWrRyNkEFakEdyt9NFSlxKfnYKqrwc89Ck1341+PY2f0eqNs21evwP7rYZwJjKRbHUWj+99Dt7E31eMf7xbEpGTS4efiSwmoqkgL7vuzAdQFA5vQsOKLl197kxkR1kY61HA0w8ZYsbRP62p23H4QT6/6rlQw06OqvSK/29eowJk7RZerU1dVoUPNCuy9FvZagYgboXHsvRrKhDVniE/L4ujth/w5TAVrIx0aV7LCUEcxQKBBRSv8HyaUKBAB0N7TjX2XgjjtF0b3hoqRzn/vuUgFc0P+G9WdmKR02k5cVuw4FRVpQVuoiAmUy/n9y4409HjxzI83GW12+e4jtp7xY8e5ANKzcsjNl6Gnrc743k3pVLcineoqZoPM33wKQx0t4pLTCXoYRzUnRdvlyQi718HaRB8bU3001VWxNtGnkp0ZwVGJ1HLR4oc+Tfmhj6Jjq8f01Thavd7M3fa1nNh/NZgzAQ/pVk/xkex/9l+jgpk+/37dnpjkDNpPW1/sOBWpFNnjQpHzVKBCLpfz27BWL13+6G3NiJDL5Yz49wCtH3/j4WkexacSkZBGXdeXL5X4LJ3ruPD90iMA6GkXDorp09idyWtK9v2bZ+nYuDZ7T13h1FV/erRS1Il/bdhHBWtzlkz/hpiEZFp6Ff/YoqqKCjK54r2fnVvYGSWXy1k8wYvGNd2LHfOEtzEj4mZQGCoqUuwsFe2yrs3qcvKqH4Z6OgSGPqLKJ9+Sly8jLimFnmN+fa1ggZWZYgbEEyJiErB83OGUkJzGZz8sYNEPw3C2Kxuv0KFhVfadvcXpG0H0aK7wL39vPUoFKxN8Jw4mJjGF1iPnFztORUWlsDzkFL6f5MhZ9N1nNKrmWuyYJ7zpjIjsnFz6T/uPMZ+1pV5lRb12895DVFWk2Fko3gtdGtfg1PWg1w5EPKFrkxqMXrjujc7xKtpWseLA7SjO3ost9A/H72Nvos1fAz0V/uH34u9UhX9Q/J39VD0tR868vjVp4PIy//D6MyIABjZyZGAjxVrfY9ZdxcGscDm+C8Hx2BhpYWP0ep1OT7gWlsjs3X5s/qZxkdkcb0Kr9p05vG8XF06foFN3xQjvZX8vxraCA7//t5K4mGh6tm1c7DhVFVVkMsW7KCensK0vR87Pv/9N3YYvblO+6YyI7OxsvhrQiy//3959BkR1dA0c/+8uICDdBhbAroi9N8DeWxJ77C3GV2OMMUaNNc0YjUlssfck1qixi4rd2FBAUbGA0qV3BHk/XKU8iwaEDajn93HL3dl7d/bOzJk58+kU6jdu9q+vf8HAwIB2nbtz9MCefw1E3Lh6iR/nzWDzX0fSZ0q/SPEE0OykKloAAD2GSURBVLPPQL6ZPjlr2Xdvp0uvvO1L0MW5CftPnufU5Ru89zzV0JJNu7ErY82676cSHBaBy4cTtd6X+f8nc6AiDVgycyItGrx85rUuV0QAmBY1xrlRbY6cuUSNyvaULqm0W63MzejZtgVXPG+/MhCxcc8Rpo9V2gV1qlcijTSeRESnBx52HHbj/Q7OeS7nC29aG/VlbKxMs6yUDQiLoZRF1jShBvoaOjeqyoF/bv9rIOKFbk2qMWmlspeTWeY2kVNNpq9/zcmEr9C1Y3v2HTyK25nz9O6pjDv8snw19na2bFy5hOCQUFq07671Pj2NJv0/KilToCKNNJb/NJ+WzV4+HpHXFRFJSUl8MGgkUz4dR7PGGZNF09LSGP7xp3Rq15r3e3R9xRFezdzMjA0rfkn/rBqNnDE3y93q3NzIl0BEt5ol+fHYA+4/SWB+D2UJTmxSKvZWRqhUKnZcC872fWUtDPEKiKVD9eIc9MrYB6JlJUs2XgygoZ05GrUKz4AYHEtnzWuYlxURpc2LcNkvmsSnqehr1Jx/EMnAhsog4JPYZIqbGBASk8Rej1B2jqqDpbE+7l8qN6RHEQmM2uqVHoRYe16ZxTa8adaO0YOweMoXy9jkuoyFUqGiEp4ybLMn33SvnJ72Ka+61VLSM91/Es/8XsofW0xSCuWLGSvn/2r2OQjLWBjiFRBDB4eSHPDMyCXmVNmKTRcf08je8vn5j8axdNYfYV5WRETGP8XIQEMRPTUBkYncCYnDzsqYpJRUbgXGEBn/FAtjfU77hFO5ZFHaVi/B9RkuADwKT2Dk5uvpQYi155RZKMObZZ0l++BJPOWLPz//d8IoY5GRauNp6jOOeYcyo/PLG++6UKyhkpYmMeg+FQYrnbPUxBgMS5ZHpVIRej77znORYmWI8/PCqk57wq8cTH/cvHoLgtw2YVq5ISq1hjg/T4raZp3JkpeZ4Cbl65Lg701SRCB6hqZEerhStvtEAO6unoB162GY/s+AbELwfYxKKTecCPejGNnkf+qr7nVKs+DQbe6FxPLD88H42MSn2JcoikqlYvvlR9m+r6yVMZ7+0XRwtOFApjyuLauUYOO5hzQqrwxUevpHpQ9+vqCrFRHf/H0TIwMNn7bPSD+SkvqMgKhEbK2MSX2WxrGbQdQplzG7wfVWME0qFMuSx/rAjQCu+UUyvasDOeEfkUBxUwOK6GkIikrgdlA0tlYZHZm97v4Mamqf9y+YjXehHhQkJT3TXe6HxjL/faWDEJOYQvniz+8HV7TzgwOUsTTCyz+aDjVKccAjI/DiVLk4my740ai81SvrR15XROxzD8yy2qGUmSHFTAzwC4vHtpgx5+6FUbnkq/Phrz3zEIDhLeyzPN7BoSSHb4bQs25pHoXHE5eUipWxAfFJKaBSYWyg4a9rAdQqa56eKzm3ujdU0jPdD4rix8FK5zomMZnyJc2U/6Xz2nlGAcoVM8HTL4yOdezYf+Vh+uNO1cuwwe0WjSsrs+E9/MLSgwMv5GVFRN3yJQiNSiAyLgkzIwPO3wliiHM1rC2MKWZqiG9oNHYlzDh7O5AqNhbK/1JEHLbFTUl99oxjN/yoU16ZtLHaVdkLYGSbGjn67H1TMwKN/7fmJN0blKeVY1kiYhNZcdSTxKfK/hNX7ocw1OXlA6D/q0fT6ny/zY17AeEsGt0ZUPKOV7BWUj/+ecoj2/eVK26Ox8MgOjWswr4L3umPO9cqz7ojV2lctRwajRqPB0HULJ91UDIvs81mDmzNzIHKQNTWE9e55RfKlN7KAEFoVBwlzIsSHBHL7nM3+XvOYEyNixAWHY9vcAR2pSw55fGASqWV38Sqg0ru/lGdctYu7tiwCrM2HmNCj2bEJCRx5/ET7Eoq1zk2IQkLEyMueD8i6Wkq1cuVeK3v16NRZebvvMC9oAh+HN4GUNJyVShlgUqlYtsZ7fzgAOWKm+HpF0qn+hX5O9M+EM41bFnv6kHjKqWVOuEbQk27rGlEdLUiYt6fZzE20OezntopH/+6eCd9A+oXVh9xB2Bk+zpZXns/KJIK1hYAnPTwpUwxpW8TEhVHyef7dBy/8RC7kq/X8evVpgnfrtqOz6Mgfv5iJAAxcQlUKGuNSqXi94Ons32frXVxPO740qVlA/aezNictlVDR9buPkbTWlXRaNTcuPOQWlXss7xXFysiSpewxMvHj4joWCzNTDh52ZOq9mXo2LwePn8rA1i+gaEMmvZTehDit+1KDvQxvXOWrqxTi7qM/341o99vz837j9DX02BTworkpykMmLqQ/+vfGecGeZ8d/kIvp7p8u2E/Po9D+GlifwBi4hKpUKYEKpWKP45mvymwbSkrPO49pnOzWuw9k7EPhEvdaqzdd4YmNSoq18bnUfqeDi/kZUVEWloaYxdswqlOVfq1y/jdly5ujtcDfyJi4rE0Ncbt2m2qPt//YfbqPdSvZke3FnVy9Bn3/EOoWEapw8ev3EpP/aQr3Z+nZ7oXGssPfZR2m9J/MFHu05e0c+TDi/5DFB1q2nDgeub+Q0k2nn1AowrP+w+PI3Esa5HlvXlZEQEQGpNECdMi+ATHcM03gh/61El/bu81f7rXyzr+8M0+L+raWtK5ds5WTfuFxTFu0yVWD2uMtXne0p1l9iI908N7d5m3aBkAsTHR2FWoiEqlYvef2Q+Oli5nxy2P67Tt1I3D+3anP97cuTVb162kfuNmaDQabnq4p+/p8EJeVkSkpaUxZdwImrZsRa++/34PSUlJISjgMWVt7UlNTeXE0QPUqqsMDG5ctRSAwaPGZXnPY7+HfDpmCEvX/0Epm4zr8yQkmOIllVVmp1yPUM4u6yazB/7azuJVm17re73Qq70TXy/biI+vP79+NQFQ9kWoYFtauTfsc832fbalS3Lj9j26tmrKnmNn0h9v1bguq7f/TdO6Dmg0Gq5738uSIgl0syIiOjaOxKSnlCxmQVJyMq7nrjLuw16kpKQSGRNLcUtzEpOSOXb2ChOHKsGb5b8rk4DG9u+R5VhlrYtz8qI7DRyr8vBxENGx8RS3VO69T5+mcOjUP3zz6ch8K/ub1kZ9GRsrUzRqNV4Pg6largS7znrxy9iuSj8hLBrbkhakpj7j6BUf6lZSfucva6PeDwynwvPJLieu36fs85SUIZGxlHwe3HB1v4ddSYt8/Q4A7/fowtzvF3L33gOWLfoOgOiYWCpWsEelUrHlz+zHI+zKleW6hxfdOrVn974D6Y+3dm7JynWbaNa4IRqNBncPr/Q9HV7Iy4qItLQ0RoybRKuWzfiwb9YVs9PnfoeRkRHTJn+i9XjDenXo2bVTjj4jMiqKosbG6Ovr8/PyVfTvnbO9uF5XvgQi6pUz425oPE3LW6RvgDqoUWlGbfFk1/VgWlbMvmExoIENwzZ7cvxOGE6Z9koY1Kg0vuEJtPv1MmlpaVQobsyaHO4vkRP1bc1pU9WK9kuuoFZBi4qWdKiudOam7b3L7eA4NGoVMztVTF818TL3QhNoYKfdYdjtHsKeGyHo66kwN9Rj8QfP0xqc98cvPJF5h+4x79A9imjU7P+4fp6+Tz1bC+6GxNG0gmX6+R/cpBwjN7mz61ogLStnP5N1YKOyDN1wDVfvJzhXyXjNoMbl8A1LoO3P55+f/6KszeH+EjlxNySOKbtvolYpGy/O617t+XnW5/9cytNt2T/oaVRUK2XCoMavnm15LzSOBnYWWo/vdg/kr+tBGGjUmBnp8XPvjN/PqbthOJY2xaqogdb7dMm0Qj0SAu5iVrUJaj3ls0u5DOL20tGEXtiFuUP2A3klWw7Ae8lwIj1cMa+REZkv5TKIxFA/rs9uD2lpGFlXoOq41flWXpVGD7u+s7i5oDdpaWmU6TgWfROlnsY/9sbAQjuPqO+fc0gMfYRKrcaodBUqDMrfzilAPTsr7gTH0PT5smqAwc3tGbHuEruuPKZllewHTQY2tmPI2ou43grGuWrGawY3s8c3LI42P54gLQ0qljBh7fC8zez6X/1WnOPG4ygSklOpO/swa4c3opSZIUuO+1CllCltFpwAYEa3GjSrVIyxGy8Tl5xCWho0qViMIc3t04+1192fbnWy5oP1DYvH1FD77zwm8SlO3x8nJjEFjVrF8hM+XJ7ZnpsBUXyz/yYalQqVSsXcnjUp9jxNWXTCU675RbJmWN7zxGbnXagHwad/5/GeH0mOCuXadCdKNOmFXe8Z+VamV6lnZ8nd4FiaVrTKqB9NbRm54Qq7rvrTsnL2M/cGNi7H0HWXcfUOwblKxmsGNbXDNzyetotOK/eDEkVZm8P9JXIqOuEp1x5FsnpI1nvhnO4OjNh4hZTUNGqUNmNgE2WQ5cfDd9j6zyOiEp5Sb54rH7tUYGTL8twLjaWBvXZ7o031kpy4HYrzAjcMNGoW9qmJWq0iJCaJD9cojeMKxYvyU7/XX2VUv0JJ7gZE0qyqdXrKoaEu1Rm29Bg7L/jg5JB9DueBLasxeMkRjnk8wqVGxmuGuFTDNzSaVrN3Kf9L1uasH9cu22O8Dj2NmunvN6T7/H2kpYFLjTK0r63Mqvq6X1OGLTtGSuozHMsVY5BTNVKfpTHmt+PEJT0lLQ2aVrFmqLMS+PQJiqRRpVJan3E7IILeiw4SFZfE0Rt+VLax4O+p2rOLXrA0MWSYiwNt5uxGrVLRr3kVHMrmfDZ+gypllM2WHewweL6yZlj7+gz5cQfbT3viXMs+2/cNaluHD+dv5+jVe7SqnTEAMLRdPR4GR+L0+SrS0qCSjRUbc5i7N68+X3UI78ehaNQq5g5ui6WpMkC0YFQn+n+/DY1ahY2VKcv+TzmfPgFhNKqq3V7yfhTK+/O2EhWXyOErd6lSpjgHvh5C9XIlaFKtHM0m/YZGrWJaP2eKmRkTl5hMxxkbAChhZsyy8S+/Xv+mfiUb7gSE06x62Yw60bomw37Zz45z3jjVyD7N2ocujgz6aS/H3B/iUjNjpt+QNjV5GBqFy7QtpAEVrS3YMDHnOblzovf8Xdx4GEp80lNqjl/NholdsbYoyi9/X6ZqGStcpm0GYGa/FrR+/nvac/EO3w1yyXIcn8AIGmazQmLneW92n7+DgZ4aM+MiLBnT/vkx7rLe9Qb6GjWmxkX4dXTO9pL5Xw1rVOK2bwAt6lTH4Hme6OG92vLhtJ/48/AZWjXMfvbqkO6t6DdlIYfPu9OmUcYM0uE92/LAP4Rmg6eSRhqVytmw9ftJr1W2l+k58Tvcbz8gPiGJqt3HsfX7SdR3qMikQT1oO3oWehoNDhXLMrxnm1ce565fAI1rauej9n7wmB6ffEdkTByHzl6lqn0ZjqyYjWMlO9o1qU29fpMoYqDP0mljANjlep5LXj5ExyWwfJuy2eS+X6dTzFx7o9/caFC9PHf8gmheq3LGtenWkkFzVrHN9RIu9apl+77BnZrRf+ZvHLnoResGGYHZ4V1b8DDoCS3GfEcaaVQsW5Its3O2v0ROXPC8x66TV3GsUJr955QAyG9fDKFGhTJ82q897T/5ET21hurlbRjWVQm+33oYQOdm2r+xY5duMn7hFp5ExdJjyi+0rFOFtdOHs+P4ZXaeuIKBvgbzosYs/zz/Um9kp5798/5DpeKZ+g/lGbH2IrsuP6Jl1Zf0H5rYM2T1BVxvBmXZQ2Fw8/JK/+GH46SlpVGxpAlrR+Rsf4mcGrb6AlEJTzE20LB4YL30/ZqePUvj4I0ADn2WdZKUd2A0HRy1V/GcuBXMpN+vEhabTJ9lZ2heuQQrhjRk8ZHbRMQlM36LMoBva2Wc4z0yXqVOg8bcu+NNo+YtMXi+b8CAYaP5eEhf9mz/nebO2dfnvoOGM+bD9zh59CAtMu2h0H/oaPwePqCrU33S0qB8pcos37g9z+V84crFs+zfvY1qNWpy9IAycL1wxXqqOtTkywmjOXH0IJHhYTSvYc/M+YtxadeJiSM/JC4ulrQ0aNSsBQOGKf8h933uUK+R9mTNpT9+S2R4GJPHDgOgrF15Vmzawf6/tvP7ulXo6ethambO/CUZfZh7d7xJTUmlqsPr5Xx/oVGtatx+8IiW9WtioK+MbY3s3YUBk+bx5/7jtGqS/YSqoe91pM8nszl8+hJtmmVkohjZuzMPHwfSpPfHpKWlUcm+LH/8lL/7Qnb/aBrut3yIS0ikUtuB/LF4JtbFLek7cS5Pn6bw7NkzerRtQReXJsTFJ9L9o2mkpKSS+iyV99o706GlMuh99+FjmtTWnqg3dfRARk1fwLYDJ1CplBUeL9IyHb9wjdrVKlLMIv9mg7+JbdT3523lxoMg4hOTqTH6ZzZN6U29SqWZP7IDIxfvJulpCn2cauJgV5KkpymMXLybuMRk0tKgmYMtw9orv5mXtVF3nPFk19mbGOhpMDcuwtJxSpvzr3O3WHfkCvp6GqWtNC5/23qgbMbsfceHls2bpP9HjR42iL5DRvP79t20cdZesQUwfFB/3vtwOAePHqddq4y0eKOHfsiDh37Ud2oPaVC5Unm2b8y/8YizFy+xbfdeataozp4DysSL9St+xtLcnAU/L8OhahXls4HvZk2jfRsXvG7dpmtH7fbkEdeTjJ4wmdCwcDq+1x+XFs3YvHopnje9GT1hMiqVikYN6rFs4Xf5Vv7sqNJysBX21atXqV+/PofG1adWmbw1xApKja/P4DUj+x9UXgzd5MHK/jXSGzR59bJy7nQPZvy2Wxye0IRaZXS3REZXHOac4Oas/J9RPnTDNVYOrJ1v5/9V5bzhH02HXy5w5coV6tXLPi3Ui7pSc+YhTOzy1mgoCJc+caThz56vfE1qUjz31n5KlbG/5erYIWf+JN7/NvbZbGAd6+uBx9yO6ef2xXk8MsmZWuUscvU5hYHDjIPc/Dpn0ef8MH7LVWb1qKHzPU96LTnDt+/XorqN9n/QjUeRtF/kxpUrSmdG6kH2clMPsvOibhye2IJaZc2zfU1h5zDzCDfnvt5A26sMXXeZlYPq5d/9IFM5bzyOosPiMxyb2Yvadi9Pw1CYVf1kI7d/zv/824N+PcKasW209nzIb46TNhMclcCJH0ZQu0Lu0uAUFpWGLcRnXc42Cs6Ngd9vY91n76d3bnWl9thfObtoDCZGBly/H0irKWtwnTeA2uV1E7jWtSofreDOio/y/bgfLtrL2gld8q1OZC7n9QchtPlqK6fXf0udquX/5Z2Fj13HUfgeer1NV1+l75Qf2fTNxPRBfl2p0Ws8F7cswMTYUOu5Pw+fYeTspbgt/4I6lXO/n1FBK//eFB7s+uG13//BtKXs+Hbcv78wB3yDwhg8dzVuy7JP7eJ+1w/nsfO12kvp/YfJrd7M/sO0/dz8tstrv3/AinNs/SjnaYVexS8sjpHr/uHIZO1+8c7Ljxi36TJ7Tlx87b0LClqDStZc9gn69xfm0piB7/Hruj/SBzd1xal2JQ6edaeoiQme16/So1Vjzv6xhLoO/23Gh/xSzqk3j07lX3Dphd4TZrFl4Yz0AExevaycf+w/zvAv50sbNRv53UZ9WTlftEszj0VcPHGQerXfvLEIAOtKNQnyyX6lTE506zOIfdvytprqhYd+j+g7dAwXjx/Qeu7qdQ8at+r0yvGL7ORPb/0NYKBR0/bXS8Qm5XwTmJxYP6hmvgx6+Ecm0vbXS5Qw+W9n6f9XDDRq2i4+n//nf0jd/Dv/i8+/tec/p1QaA67PbkdqQuxLX6MpYpzrwdeg4+vxP7AEjdGbGcjMLX2NijYLThCbmPONv/Li14H1dB6E6LfiHH5h8ehrCulOzflI6oFuGeipabvoNLGJ+Xw/GNYgn+4HCbRddJoSprqtU/81fY0Gl9k7iU3I+eZrObFpfHudBiFSnz3DZfZOUlL/dd5MoWegp8Fp8ipiEpL+/cW5sGVqH50GIVJTn+E0eRUpqc9Qv8aG7oWVvp4Gl2mbicnnOrF5Uvd8qRP+YTG4TNtMCfO85YAvTAz09Wg2eCoxcQn5etw/f5is0yBEauozmg2eytOU1LeqDmRmoK9HizHfEhOf+Frvz68gxOVbD+g3YwXFzPInhfGbRF+jps0Px1+7/5BfQYirD8MZvOoCxf7j7AH/JX0DA7o61Sc2JubfX5wLv23ZpdMgRGpqKl2d6pOS8jR9Bv/bQF9fj8a9xxITF5+vx93+y5x8CUI8Dgqhce+x+bJ5dWFV2Nuoj59E4TR5FSXM3417g4GBAfWd2hMT8/LxiFfJryDExctX6dl/KMWt8jd9om6njRQi177MnxuzrpSxMHztPS/eBO4z8m+zH10oY2H42ntevE0aLNLeVD4/WLceinXroTo5dmF0fU7Hgi5Cvvsjnzo3bwKpB7rlPvPVm/kVtDIWRnne86Iw8lw0sKCL8Fo0ajUnZ7/Pdd8ntJ27+9/fUIjdXDWxoIvwWjQadb7nGS4MvJYU7u9UppipTva8KEh39+VvzvD/ikajzve9MAqb239+W9BFAJQ0VudXTy/oYhSI6/P+u9XUr1LP3oqTU1+dDu1Nd/5m9nuCFHYajea198IozO676naz+rwqa10y3/e8KGwKexu1bHHzt7It+jJ+NwtHPW/coB7uZ7PfRyYv3phARKMfznPik4YULVJwRf7zSiBfH7pPKbOMKPdfo+tiUoBl+i81/P4UJz9tVrDX4LI/8w7cwdosY0n0X2MbvjPX4OqUxtSeexyN4bsRCS6MGsw9gtsXrQu0Hvzxjx/z9nllqQd7xrfIsoH120zqQcFq+M1xTk52Kth7waVHzPvbG2vzTPeCj5tiks1eKW+jelN+59TcDwq0zv9+5g5zd1yklEXGbO2/v+iGidHbO4Mys8xpigrK1hPXmb3JFWurjFVW++cNxtTo7VrN8zJ1J67h9PeDMDEsuGvw+ykv5vxxBmuLjPvRvq/6YPqO1INXpSr6r2ze78ZXS7diUzxjtt7h5bMwLZp/m+8WZjUHfsX51dMxMSq4a7Dl8HlmrvoLm2IZKSMP/jQJ0wL8XfyXGsw5jNvUNgXbN7joy7y9nlk2nd4zoeU70zfInKpI/PeqdRzM5V2/YWJccP+7m/YcYcai1ViXzNj79Nj6hZgWfXtWFb6KtEsLXqXaTXA/64qJScGNUWzYuo0vZ3+DjXXG/n0n9+/C1LRw/Te+Gz32fPRB3VLM6lypoIvxTutdrzSzulYt6GIIUaB6NyjH7B6O//5CId5SvRuUYVY37Q3oxH+nT9PKzOmbv5tzitzp61yLeUMK9yqjt12fFtWZO8Dp318odKZ/x5Z8O+HtWj3ypunXrjHfjHmvoIvxTuvd0JbZPd/MfOhC5IcB3dry3eTRBV2Md5q0Swveh30/4Id5XxV0MV6pUAYitlwKYM05f9QqaFXFiukdK2Z5fvBGD4Kjk0hOecbnbcvT2bEEcUkpjNrqRVC0kud1ZqeKtKxkySc7buHhH4tGrWJ0i7L0q/9mbh7zX9t88TFrzvmhVkHrqsWZ3qlKlucHr79K0Itr0L4SXRxLEZeUwsjN1wmKVvLKzexcBafKxZiwzRMP/2g0ahVjWtjRr2GZgvhKb5xgty0Euq5FpVJhUbM1dh9My/K89y9DSI4M5tnTZMr1nEyx+p1JTYzj9vLRJEcom2/Z9/kKc4eW+KyZSJyvB6g1lG4/mpIt+r52ue5v/AIjm8rYtBtJsNtmou9cpPKoX/P0XQurzecfsvr0fdQqFa2rlWRGtxpZnh+06gLB0YkkpTxjSqdqdKlVWqkH6y8RGKXkP57V3RGnKiWYsPUqNx5HKvXAuSL9G9sVxFd640g9KFibL/ix5sxD5V5QrSTTu1TL8vzgNZcIik5U7gUdq9Clpo1SBzZeJShKyTM9s1t1nCoXZ8If7ng8fn4vcCpPv0blCuIrvXE2uXmzytVT+R+qWY6ZHzTK8vzAXw4TFBlP8tNUvuhZn671yxOb+JThy48RFBEHwOw+jXF2KMP/rXHjhu8TNGoVH7WvyYAWEtTPiQ1Hr7Ly4CXUKhVt61Zi1oetszzf/7s/CYqIIelpKl/2daZbk2rEJiQzdOEOAsOV/NNzB7fFpWZ5Pl6yl+sPgtCoVXzctTEDW9cpgG/05tl4woNVh91Rq1W0qWXPzH4tsjw/YOEegiLiSE5JZer7TenasBKxickM/3k/gRFKft05A1ri7GjLuBVHuPEwBI1axdhO9RjgXCO7jxT/Y90eV1ZsO4xaraJd0zrM/bh/lud7T15A0JMIkp4+Zfqo3vRwaURsfCKDpv1EQGgEAN+MH0irhjUZM28Z7rcfolGr+b/+nRnU1aUAvtGbZ/3+s/y2+yRqtYq2DR2YM6pnluf7zlhOYFgUyU9TmDakK91b1iE2IZHBc1YT+CQKgHljetGqXjU++mEj1+8+QqNWM+6D1nzYUVLU5sTmcw9Yfeq+0i6qXooZ3bNOChq08jzBUYkkpaQypXN1utQuo7SL1l4k8Hm7aFYPR5yqlmTC5isZfQOXSvRvIn2DnPhjw2o2rFyCWq3GuW1HpszKmlZsVP+eBAcFkJyUzKdfzqJDt17ExcYybmhfggP9Afhy7g80d2nD5x8Pw+u6O2qNmhEfT+SDgUNfu1wzJn1MxSrVGPbRBH5fv4rLF86wcMWGvHzVQmntjgMs37oHtVpF+xYNmTdxRJbn3/+/mQSGhpGc/JQZ4wbTs20LYuMTGDBpHoEhYQB8+9koWjepy6gZP+J+yweNWs34we8xuGeHgvhKbxxplxa81Ru2sGTlWtRqNR3btuLbWVnHKHr2H0pAUDDJScnM+vIzenXrTGxsHH2HjsY/UBmj+GHuV7Rxacmwjyfift0TtUbNxI9HM3Tg649RvCkKXSDiZmAsa87589eYupgZ6hERr71Z088fVMPSWJ/oxBS6LLtCpxrFOXk3AktjfbYOq01aWhqxSal4BcbiF56I26dKpz06m40xfz7hyz7PEK3HBzcqzeDG2gPmO64Fc/qe0pi2MNRnx6g6efzGhc/NwBjWnPNjz0cNMTPSz/4a9KmpXIOEp3ReepHONUpy4k4Ylsb6/D6ifvo18AyI4VF4Aqc+aw5AdIL2sRYfv8/fN4K1Hh/UpCxDmmgPVG2/GsBpn3AAzI302Dnm7dtbI+7RTQJd1+I4dTd6xmY8jY3Qek3F4YvRN7EkJT4aj2+6YlWvE5GeJ9EvaonDp1tIS0sjNTGWOD8vkp74UefrkwCkxEdrHevx3z8TdvlvrcdLuQzC2mVwlsfsen+FxzddMS7nQMDhFThO25c/X7qQuRkQxerT99k7vqVSD+K0N7P8ZUA9LIsaKPVg8Sk617ThhHcIlsYG/D6m6fN6kIKnfxR+YfGcfp5vNdt6cPQ2+9wDtB4f3MyeIc3Laz2+/fIjTt8JBcDc2IBd45rn9SsXOlIPCtbNgGjWnHnInnFNn98LtOvAz/1rY2n8vA78cpbOjtacuB2q3AtGNcqoAwHRyr1girJfULZ14Nhd/r4RpPX4oCa2DGmm3Tnfftmf03eVDo25kR47x759gyhej8JY5erJ31O7Y2ZsQESs9iaiS4Y7Y2liSHR8Mh2++Ysu9ew54fkYq6JF2PZpJ+UaJD7F0y8M3ycxnP26NwDR2VzPRX9fY+/l+1qPD3WpzlAX7dUn287fxe2W0qm3MC7CX1O65vUrFzpeD4NZefASB+cNwayoIREx2pvsLvu/7liaGhEdl0i7L9fRtXFVjl+/h5WJETtmDCAtLY2YhGQ8HgbjGxLJhcUfARAdp309F+48w57zt7QeH9auHsM61Nd6/E+3G7h5PADAoqghe+cMyutXLnS8/EJZddid/TP7YGZcJNt6sHRMh+f1IIn2s/6gS4OKnLjhi6WpIdu+6KXUg4RkPHxD8QuN4twPyn96dLz2poyL9vzD3ot3tB4f0qYWw9rU0np825lbnPJU8o2bFzVkz/QP8vqVCx1PH19WbDvMkd9mY25iTHiU9uaJv301FitzE6Ji42k14iu6OzfE9eJ1rMxN2b34S6UexCdw4+5DHgaEcvn3HwGIitXenHTB+t3sPn5R6/ERPdsw4r12Wo//fug0Jy97AmBhWpQDSwv3TMDX4Xnfn992n+TQ4kmYmxgRHh2n9ZrlUwZjZVaUqNgE2oxfQLcWtXG9dAsrs6Ls+v7/nl+DRG7ce4xvUBj/rFXOU1Ss9v/agi2H2HNKe8+sYV1bMqKb9j5Kfxy9iNtVbwAsTIz5e+HEPH7jwuemfxSrT91n7ydOL+8bDKyf0TdYdJLOtUpz4lYwlkUN+H1s80x9g0j8wuM4PU2ZOZxtu+jIbfa5+2s9PrhZeYa0yKZvcMkvo29gpM+u8W/fflfeXjfYsHIJ2w66YWpmTmREuNZrFixbi4WlFTHRUbzXrjntu/bk9PEjWFpZsX7HfuUaxMRw08OdR74POXzhBgAx0VFax1q68DsO7tmh9fiAYaMZMGxMlsemzpnP++2aU92xNquX/sTOI2fy6VsXHh537rN86x6ObViEuWlRwqO0+1OrvpmMlbkZUTFxOA+cQI82zTl29jLFLMzYu+Jb5X8oLp7rt+/z0D+Iq3+tAiAqRvs/bf7Krew6elrr8ZG9uzCqj3abc+u+Yxy/eA0ASzMTDq1ZkNevXOhIu7Tg3fC6yZKVa3E7uBtzMzPCI7THKNYu+wkrS0uioqNp3q4bPbt24sjxk1hZWbJ/hzJGERMTi7uHFw99H3HjwgkAoqK169R3C39hxx7tMYrRwwYxZpj2+d385w5c3ZR6Y2lhzrG92/P6lfNdoQtEnHsQSfeaJTB7nufZ0lg7r+Gqs485cusJAP5RSYTEJFPNuiiz9vsw7+A9OtUoTgNbc2ytDAmOSebLPXfo4FAcl8pWWsf6pJUdn7TK+eyDdyE107n74XSvZY2ZkXLus7sGK0/7cuSWEsDxj0wkJCaZ6tYmzNp3m3kH7tCpRkka2FlgZ2VEUHQiX/51iw4OJXCpUlzrWBNbV2Bi6wo5Lt+7kJop+vZ5ijfshp6xGQD6Jtq71AceXUWE+xEAksP9eRoVgnHZajz8cza+27/Gqm5HTCs1wLCELcmRwdzfPA2rOh2wcNTeOLxs108o2/WTHJVNY2SCXd9Z3FzYjypjlmdbtrfBOZ8n9KhTJqMeFNXOt7jS7R6HvZSBU/+IBEKik6huY8asvzyZu9eLzrVsaGBvhV0xY4KiE5m64zodHW1wqVZS61gT21VlYruc/67fhdRMUg8K1rl7YXSvY5PpXpBNHTj1gCNeSiDZPzKBkJgkqtuYMmvvTeb9fYtOjtY0sLfEzsqYoKhEvtzlSYcapXCpWkLrWBPbVmZi28o5Lt+7kJrp7O1AejSsgNnzc29pop1ve8VRTw67+wLgHx5LcFQCDmUt+erP88zZfpHOde1pWKkUdiXMCI6MY8rms3SqY0crx7Jax5rUtS6TutbNcfnehdRMZ7x86dXMAbOiyrm3NNXOf7zs74scuqwMXD9+EkVwZCwOtiWZvv4osza50qVRVRpVLYt9KQuCImL4fNVBOjWsQus6FbWO9dn7Lfjs/RZaj7/Mu7AE/uytx/RsUgUzYyXHcLb14OBVDl1Tgmj+YTEER8ZTvVxxZmw5xezfT9OlQUUaVi6NfUlzgiLjmLL+OJ3qV6RVTe0+wKQejZjUo5HW4y/zLqRmOn31Fu+3bYK5iZJr28pcO9fw0j8OcOCMsrni4+AnBIdF4lDRlqk/b2LGki10c25I45pVsC9dkqAnEUxasJYuTg1o01g7uPP50F58PrRXjsv3LqRmOnP9Du+51MPcRPkPsjLTzkG9bOdxDp73AOBxSDjB4dHUqFCaact38tXK3XRrUZtGDhWwtylOYFgUn/3yJ52b1aJNg+pax/p8YEc+H9gxx+V7F1IznfN5Qo+6/9I3OOnDYc9AIFPfoLQZs3Z7MHePp9I3KF8Mu2JFCYpKZOp2dzrWtMGlWimtY01sX5WJ7XPRN3gHUjNdOONGl159MDVT9iOxsNQe31m77GdcDykThAIe+xEaHERVB0e+nj6Z72dNpX2XHtRr1BRb+wqEBAUy6/PxtO3UnZattYOc4z77knGffZmjspmYmjLt6wUM7tWBX9ZszbZsb7rTl27wfkdnzE2V/x8rczOt1/y6aTcHTp4H4FFQKEFPwqlRuTxTFvzG9EWr6d6mGY1rO1C+rDWBIWFM/GYJXVs1pW0z7UHtL0YP4IvRA3JcvnchNZO0Swue25nz9OnVHXMz5fdvZak9DvDzstXsO6SMUfg99icoOARHh+pMnj6HqbO+pkeXTjRtVJ8K9rYEBgUz/vPpdO/UnnattccovvxsAl9+NiHH5ZPUTDpw9l4El3yj2De2Hkb6Glouukhy6jMqFjfmyPgGuHqHMfNvHz6oW4rhTctyfEIDjt8J57czj3C7G64VRMjtiggBZ++Fc8k3gr/HNcZIX0OLH8+QnPKMiiWKcvSTJhzzfsJXe73pXb80w5vZcuLTZhy//YQVp3xxuxOmFUTI7YoIAVHeZ4nxuYTj9H1oDIy4Nt2JZynJGFlXpNasw0TecOXBH7Mo0fQDbNoMo/YcVyI9jhNw5Dcivdyw7zszy/FyMxMcIMH/NnpFLUiO0q4774ozd0P550E4+z9xwshAQ4vvXElKfUbFkiYcnezCsZtBzNjtQe8G5RjRsgInp7TC9VYwK076cPJ2iFYQIbcrIoTUg4J21ucJlx5E8PeE5sq9YP7J5/cCE45+2pJjt0L4ao8XveuXZXgLe05MduK4dygr3O7jdidUK4iQ2xURAs54B/CPTxAHp/fAyECPptO3kZySSkVrC47Peo+jN/yY/sd5+jStzMg2NXCb8wGuHo9YduQGJ70eawURcrsiQsBpz4f8c/sRR74dhlERfRpPWE7y01QqlS6G24KRHLniw7R1R+jrXJNRnRpyZuEYjl3zYem+i5y4/kCrs5bbmWcCTt98xMW7ARya3Q8jAz2afL6B5JQUKtlYcuLrARx1f8C0TW70bVGdke3rcOq7D3G9/pBlB65wwsNXK4iQ2xURAk5d8eKCx22Or5qHkaEB9fp+RtLTFCrb2nBmw3ccPnuNL37aSP9OLRnTuwMXNv/A0fPu/Pr7flwv3tAKIuR2RYSAU+53uOB1n2O/TsaoiAENhs0l6WkKlcqW4vSKqRy+6MUXS3fQv10jRvd04fyqaRz95yZLtrty/MotrSBCbldEiBd9gzD2f+qi9A2+OUpSSioVS5pydEorjnkFM2OXB70blmOEU0VOTm2D681gVpzw4aR3iFYQIbcrIgScP32SK/+cY+eRsxgaGdGusSPJyUmUr1SFfW6XOHHkAPOmTaJX3w8ZPGocB85cw+3YIdYs/YnTJ44ybd4PWY6XmxURAHdueWFuaUVIcKCuvmKh5vaPOxeueXFy888YGRahTvcRJCc/pbJ9Wc5vW8ahUxeZPH85A7q1ZWz/Hlza9RtHzlzil407cT13RSuIkNsVEULapYXBydNnOffPJc4e2YuRkRGOjZ1JSk6mSqUKXHI7zIEjrkyaNpMP+37AuFHDuHbmGIeOneCnpSs5euKUVhAhtysi3gSFLhDRooIFH/95i+HNyqanZso8Iz8mKRVLY32M9DVcexTN/TBlKVJQdBIWRnr0rmeNRq3i7P0IwuKSMdCo6VazJKXMivDjsQdan5fbFRHvghYVrRj7uwcjmpVLT82U5RokpmBpbPD8GkRx/4mypDooOhELI3361C+NRq3i3L3wjGtQy1q5BkfvaX1ebldEvAvMqzXnzspxWLcZnp6SJvOM69SEWPSKWqIxMCLm/jUSg5WBo+SIIPRMLCjRrDeoNUR7n+NpTDgqPX2KNeyGvoU1j/f8qPV5uZkJnhB8n5Azf1Br1mFu/tgXy9ptMSz+9gWMmlcuwdhNlxnRskL68uvMM59iE1OwLGqAkYGGq74R3AtV0hQERSVgYWxAn4a2yn/R3SeExSZhoKeme50yWJsZsuCQt9bn5XZFxLtA6kHBalGpOGO3XGNEc/v01EyZV0XEJKZgWfT5/dgvkvtPlCXVQVGJWBjr06dBWeVe4BP2/F6golttG+VecER7kC+3KyLeBS2rlWbMyuOMauOYnpop82zwmIRkLIsaYmSgx9X7IdwLVtIKBEXEYWFShL7NqqBRqznjHUBYTCIGemp6NKyAtYUxP+y5ovV5uV0R8S5oWdOeUYt3M7pTw/Ql8Jlnn8XEJ2FpYoxREX2u3PXHJ1BJFxYYHoOliRH9XGqhUas47eVLWHQ8+noaejZzwNrKlPl/uml9Xm5nnr0LWjqUY/TSg4xqXyc9NdP/1gMrEyOlHtwL4l6QskQ+MCIWy6KG9G3pgFqt5szNR4TFJGCgUdOjcRWsLU2Yv/O81ufldkXEu8C5fg2GzfyVMb07pqdmyrwqIjouASszU4wMDbjs5YPPI2UQLjA0HEszEwZ0dkKjUXPqyk2eREZjoK9HrzZNsC5uybertQf5crsi4l3gVKcqI75Zx+ieLumpmTKvioiJS8DKrChGRQy44v0Qn8fKJInAJ5FYmhWlf/vGaDQqTrnfJSwqFn09Db2c62FTzJxvN+zX+rzcroh4FzSvXIKxGy8xwqniS/oGTzP1DcK1+waNXvQNQjP6BnXLYG1uyIKD2gN9uV0R8S5o2rIVE0d9yJDR49JTM2VeeRAbE42lZTEMjYy4fuUfHvgo7c3gwAAsLK14r98gNBoNF06fJDzsCfr6BnTu+QElrW34ef5crc/LzYqIB/fusmPLevadvMSgXh1o3aELZW3t8+NrFxrOjeow9IvvGNu/R3pqpsyrIqLj4rGyMMPIsAiXPLy566sE0gJCwrAyN2Vg93ZoNBrc/rnOk4goDPT1eK+9EzYlivH1so1an5fbFRHvAmmXFrxWLZvz4ahxjBs9LD01U+ZVEdExsRSztMTIyIh/rlzjjo8yRhEQGISVpQWD+n2ARqPm5OlzPAkLx0Bfnw96dsXGuhRz5y/U+rzcroh4ExS6QEQ1axNGNCtDjxVX0WhUtK5SjGkdMgapXSpbsv6CP21/vUQNaxOql1IaYN5Bccw9eA+1Goz0NCx8rypB0clM3OFNWloaGrWKuV3ynlIp8x4RAOs+dKScpfZyqDdZNWtTRja3pfvyf9BTq2lVtTjTO2UMDrlUKca6849ou/g8DjYmVLdWOiK3AmOZe+AOGpUKQ301Cz+oQVBUEhO3e/LsxTXoVu1lH5tjmfeIAFg3uA7lrN6ua2Bctho2bUfg+V1PVBqNsknv+xmNIAtHZ4KOr+f67HYULeeAcRnlvMb7e/Nw2zxUajVqfUMqDltIcmQgPms+hbRnqDR62Peb89rlSktL4976z7EfMJciljbY9/mK+xum4PDZ73n+zoVNdRszRjlVpNsvp9FTq2hdvRTTu2bMCHapVpJ1Zx7QZsEJHEqbU91GaYTdCoxhzl7P5/VAw6J+dQiKSuST36/xLC0NPbWKufmwbDrzHhEA60Y0xtbKOM/HLUykHhSsajamjGxpT/cl59DTqGlVrQTTO2f8h7tULcG6c760XXQaBxtTqlubAnArKIa5+26hUT+/F/SuRVBUIhP/uJ5xL+iR981hM+8RAbBuaH3KvWV1oHpZK0a1daTLd3vRaFS0qVmOr97PGCBt5ViWtcdv4jJ7JzXKFcOhjNIZv+kfzuxtF1GrVRjp67F4mBOBkXGMX+OmtIk0ar7ul/eUSpn3iADY+H/tsS1umufjFiYOtiUZ07kRHWdsQE+jpm3diswcmLEpYOs6FVl96DJOk1fhaFcSB1sl9d5NvxBmbjyGRq3G0ECPX8Z2JTA8hnFL9ir3Ao2ab4e2z3P5MufiBdg8pTe2JS3yfNzCpHq54ozuUJfOc7ehp1bRprY9X/XN6BS3rmnH2qPXcZm2mRq2JXAop6QBvfXoCbO2nlb+iwz0+HlUOwLDYxm/8sjz/yI133yovQQ+tzLvEQGw8dNu2JYwz/NxCxOHiuUY27cj7cbMQk+joV2T2szJtFl128a1WLXzCM0GT8Wxki01KiqBea97j5j+6xY0GjWGRQxYNm00gaERfDRv+fN6oOH7idorDnMr8x4RAL/P/ww7G+0UgG8yh/Kl+eg9FzpMXKj8FzWsweyRPdKfb9PQgVV7T9FizLc4VihLjfKlAfB6EMBXv+1Go1FhaGDAkskDCXgSydgfNqXfD77/OO/7mmTeIwJgy5wx2FkXy/NxC5Pqpc0Y5VyRbovd0NOolb5Bt4z2jEu1Uqw7/YA2PxzHobRZRt8gIJo5ezzT20WL+tdT+gZbrjzvG6iZ+14+9A0y7REBz/sGxbRTeL3Jqjo4MnTMeHp3dEZPT4Nz2458PvOb9OedWrdn8+rldHWqTzXHWlR1UFag377pyXczp6DRaDA0NOK7X1YSHOjPlHEjePbsGRo9Pb76dtFrlystLY1pn4xh5vc/YV26DF/Onc/0iWPZsOtgnr9zYVKjsj0fD+xJm8GfotHT0KFFQ+Z+Mjz9+XbNGrDyj3007j2WWlUq4FjZHgCvuw+YtnAVao0aoyJFWD7nUwJCnjD6q4WkPXuGRqNhwZSP8ly+zHtEAGxbPAu7MtZ5Pm5hIu3SgufoUI3xY0bg3LEXGj0NHdu24puZGWMU7Vs7s3z1Buo7taeWowOODkr/2fOmN1NmzkOj0WBkaMjKX37EPzCIEeM+5dmzZ+jp6bHo29l5Ll/mPSIAdm5eg71t4ZowqUpLS0v7txddvXqV+vXrc2hcfWqVebs6mG+Kne7BjN92i8MTmlCrjHYuPqF7N/yj6fDLBa5cuUK9evWyfc2LulJz5iFM7N7uHJ35KdbXA4+5HdPP7YvzeGSSM7XKWRR08UQO3HgUSftFbly5osyylnqQe/9bD7Lzom4cntiCWmXfroGuwuzG4yg6LD7DsZm9qG2nvdeR0L3rvk9oO3c3J34YQe0KNgVdnHfe9fuBtJqyBtd5A6hdXnvfI6Eb1x+E0OarrZxe/y11qkpqlsLkz8NnGDl7KW7Lv6BOZduCLs5bzf2uH85j52u1l9L7D5NbSf9Bh3ZefsS4TZfZc+IijrWzb6+K/47n9av0aNWYs38soa6DrCwuCH/sP87wL+dLG7UAvWiXZh6LuHjiIPVqy1iELl297kHjVp1eOX6RHbUOyySEEEIIIYQQQgghhBBCiHecBCKEEEIIIYQQQgghhBBCCKEzEogQQgghhBBCCCGEEEIIIYTOSCBCCCGEEEIIIYQQQgghhBA6I4EIIYQQQgghhBBCCCGEEELojAQihBBCCCGEEEIIIYQQQgihM3q5ebFPaLyuyiH+xeOIBADuhsQVcEneXbk59wmBd3VYkrfPy87X3ZCY/7gk4nVld62kHuRObs7X3ZBYHZZE/K8X5/tuYGTBFuQd9uLc33n8pGALIoCM63AnILyAS/JueXG+bz/0L+CSiP/lGxAKwB2/oAIuydvv387x3WDpP+iSX5jSJ753x7uASyIg4zrcfvCogEvy7vL1V/6TpI1acLI79953ZCxC1173HKvS0tLS/u1Ffn5+VK9WlfiExNf6EJE/1Cp49q9XS+iSsZEht7xvY2trm+3zfn5+VK1WncQECdrllqGRMbe9b2Frayv/OW+oF/UDkHrwmjLXg+xI3Sg4apWKZ//eZBI6JNegcJHrUTDUahXPpENQKMm1+e8YGxtx65Z3lvaS0kaqRnxCQgGW7N2gVqt59uxZQRdDPCf/PQVPrkHBe3FfAKhevTrx8TIW8V8wNjbm1q2Xj19kJ0eBCFBu7E+eSISvICUlJVGkSJGCLsY7rXjx4v9awaSuvJ7/PbdyHt88ma+hXL/XI/8xhVdgYCCRkZEAWFhYYGNjU7AFegdlvgaZyfUoGFInCoac98JL+mr/nZe1l6SN9N+Q33rhIveFgid1ouDJWETByMn4xf/KcSBCCCGEEEIIIYQQQgghhBAit2SzaiGEEEIIIYQQQgghhBBC6IwEIoQQQgghhBBCCCGEEEIIoTMSiBBCCCGEEEIIIYQQQgghhM5IIEIIIYQQQgghhBBCCCGEEDojgQghhBBCCCGEEEIIIYQQQuiMBCKEEEIIIYQQQgghhBBCCKEzEogQQgghhBBCCCGEEEIIIYTOSCBCCCGEEEIIIYQQQgghhBA6I4EIIYQQQgghhBBCCCGEEELojAQihBBCCCGEEEIIIYQQQgihMxKIEEIIIYQQQgghhBBCCCGEzkggQgghhBBCCCGEEEIIIYQQOiOBCCGEEEIIIYQQQgghhBBC6IwEIoQQQgghhBBCCCGEEEIIoTMSiBBCCCGEEEIIIYQQQgghhM5IIEIIIYQQQgghhBBCCCGEEDojgQghhBBCCCGEEEIIIYQQQuiMBCKEEEIIIYQQQgghhBBCCKEzEogQQgghhBBCCCGEEEIIIYTOSCBCCCGEEEIIIYQQQgghhBA6I4EIIYQQQgghhBBCCCGEEELojAQihBBCCCGEEEIIIYQQQgihMxKIEEIIIYQQQgghhBBCCCGEzkggQgghhBBCCCGEEEIIIYQQOiOBCCGEEEIIIYQQQgghhBBC6IwEIoQQQgghhBBCCCGEEEIIoTMSiBBCCCGEEEIIIYQQQgghhM5IIEIIIYQQQgghhBBCCCGEEDojgQghhBBCCCGEEEIIIYQQQuiMBCKEEEIIIYQQQgghhBBCCKEzEogQQgghhBBCCCGEEEIIIYTOSCBCCCGEEEIIIYQQQgghhBA6I4EIIYQQQgghhBBCCCGEEELojAQihBBCCCGEEEIIIYQQQgihMxKIEEIIIYQQQgghhBBCCCGEzkggQgghhBBCCCGEEEIIIYQQOiOBCCGEEEIIIYQQQgghhBBC6IwEIoQQQgghhBBCCCGEEEIIoTMSiBBCCCGEEEIIIYQQQgghhM5IIEIIIYQQQgghhBBCCCGEEDojgQghhBBCCCGEEEIIIYQQQuiMBCKEEEIIIYQQQgghhBBCCKEzEogQQgghhBBCCCGEEEIIIYTOSCBCCCGEEEIIIYQQQgghhBA6I4EIIYQQQgghhBBCCCGEEELojAQihBBCCCGEEEIIIYQQQgihM/8PoLPz2cm41kUAAAAASUVORK5CYII=\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "from sklearn.tree import plot_tree\n", "\n", "fig, ax = plt.subplots(figsize=(20, 8))\n", "\n", "print(f\"Profundidad del árbol: {model_tree.get_depth()}\")\n", "print(f\"Número de nodos terminales: {model_tree.get_n_leaves()}\")\n", "\n", "plot = plot_tree(\n", " decision_tree = model_tree,\n", " feature_names = X.columns.tolist(),\n", " class_names = 'Exited',\n", " filled = True,\n", " impurity = False,\n", " fontsize = 7,\n", " ax = ax\n", " )" ] }, { "cell_type": "markdown", "id": "ee94a8fa", "metadata": {}, "source": [ "## MODELO DESBALANCEADO. AJUSTE PUNTO DE CORTE" ] }, { "cell_type": "code", "execution_count": 31, "id": "95827029", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "punto de corte 0.5 [0 0 0 ... 0 0 1]\n", "231\n" ] } ], "source": [ "\n", "modelo_ajusta_train = tree.DecisionTreeClassifier(max_depth = 4, criterion = 'gini').fit(X_train, y_train)\n", "\n", "prediccion_xtest = modelo_ajusta_train.predict(X_test) \n", "print(\"punto de corte 0.5\", prediccion_xtest) \n", " \n", "print(prediccion_xtest.sum()) #sumatorio de los 1 que estoy teniendo (231) con un punto de corte de 0.5\n" ] }, { "cell_type": "code", "execution_count": 32, "id": "d293f027", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.47619047619047616" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Calculo de la PRECISIÓN del modelo de árbol antes del ajuste \n", "\n", "from sklearn.metrics import precision_score\n", "\n", "precision_score(y_test, prediccion_xtest, average='binary')\n", "# precision de 47%" ] }, { "cell_type": "code", "execution_count": 74, "id": "ca17dc91", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.20036429872495445" ] }, "execution_count": 74, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Calculo la SENSIBILIDAD del modelo de árbol antes del ajuste \n", "\n", "from sklearn.metrics import recall_score\n", "\n", "recall_score(y_test, prediccion_xtest, average='binary')\n", "\n", "# sensibilidad de 0.20, indica que la mayor parte de las veces identifico los unos como ceros" ] }, { "cell_type": "code", "execution_count": 37, "id": "25c7b2c8", "metadata": {}, "outputs": [], "source": [ "# CAMBIO EL PUNTO DE CORTE: varias pruebas desde 0.5 hasta 0.025\n", "\n", "predictions_04 = np.where(modelo_ajusta_train.predict_proba(X_test) >= 0.4, 1, 0)\n", "predi_04 = predictions_04[:,1] \n", "\n", "predictions_03 = np.where(modelo_ajusta_train.predict_proba(X_test) >= 0.3, 1, 0)\n", "predi_03 = predictions_03[:,1]\n", "\n", "predictions_02 = np.where(modelo_ajusta_train.predict_proba(X_test) >= 0.2, 1, 0)\n", "predi_02 = predictions_02[:,1]\n", "\n", "predictions_01 = np.where(modelo_ajusta_train.predict_proba(X_test) >= 0.1, 1, 0)\n", "predi_01 = predictions_01[:,1]\n", "\n", "predictions_008 = np.where(modelo_ajusta_train.predict_proba(X_test) >= 0.08, 1, 0)\n", "predi_008 = predictions_008[:,1]\n", "\n", "predictions_005 = np.where(modelo_ajusta_train.predict_proba(X_test) >= 0.05, 1, 0)\n", "predi_005 = predictions_005[:,1]\n", "\n", "predictions_0025 = np.where(modelo_ajusta_train.predict_proba(X_test) >= 0.025, 1, 0)\n", "predi_0025 = predictions_0025[:,1]\n" ] }, { "cell_type": "code", "execution_count": 38, "id": "5a0cecff", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Sumatorio de target=1 con punto de corte =0.5: 231\n", "Sumatorio de target=1 con punto de corte =0.4: 253\n", "Sumatorio de target=1 con punto de corte =0.3: 499\n", "Sumatorio de target=1 con punto de corte =0.2: 1008\n", "Sumatorio de target=1 con punto de corte =0.1: 1466\n", "Sumatorio de target=1 con punto de corte =0.08: 2593\n", "Sumatorio de target=1 con punto de corte =0.05: 2858\n", "Sumatorio de target=1 con punto de corte =0.025: 3300\n", " \n", "Sensibilidad con punto de corte 0.5: 0.20036429872495445\n", "Sensibilidad con punto de corte 0.4: 0.20947176684881602\n", "Sensibilidad con punto de corte 0.3: 0.38979963570127507\n", "Sensibilidad con punto de corte 0.2: 0.5865209471766849\n", "Sensibilidad con punto de corte 0.1: 0.7395264116575592\n", "Sensibilidad con punto de corte 0.08: 0.9562841530054644\n", "Sensibilidad con punto de corte 0.05: 0.97632058287796\n", "Sensibilidad con punto de corte 0.025: 1.0\n" ] } ], "source": [ "print('Sumatorio de target=1 con punto de corte =0.5:', prediccion_xtest.sum())\n", "print('Sumatorio de target=1 con punto de corte =0.4:', predi_04.sum())\n", "print('Sumatorio de target=1 con punto de corte =0.3:', predi_03.sum())\n", "print('Sumatorio de target=1 con punto de corte =0.2:', predi_02.sum())\n", "print('Sumatorio de target=1 con punto de corte =0.1:', predi_01.sum())\n", "print('Sumatorio de target=1 con punto de corte =0.08:', predi_008.sum()) \n", "print('Sumatorio de target=1 con punto de corte =0.05:', predi_005.sum()) \n", "print('Sumatorio de target=1 con punto de corte =0.025:', predi_0025.sum()) \n", "print(' ')\n", "\n", "print(\"Sensibilidad con punto de corte 0.5:\",recall_score(y_test, prediccion_xtest, average='binary'))\n", "print(\"Sensibilidad con punto de corte 0.4:\",recall_score(y_test, predi_04, average='binary')) \n", "print(\"Sensibilidad con punto de corte 0.3:\",recall_score(y_test, predi_03, average='binary')) \n", "print(\"Sensibilidad con punto de corte 0.2:\",recall_score(y_test, predi_02, average='binary'))\n", "print(\"Sensibilidad con punto de corte 0.1:\",recall_score(y_test, predi_01, average='binary'))\n", "print(\"Sensibilidad con punto de corte 0.08:\",recall_score(y_test, predi_008, average='binary'))\n", "print(\"Sensibilidad con punto de corte 0.05:\",recall_score(y_test, predi_005, average='binary'))\n", "print(\"Sensibilidad con punto de corte 0.025:\",recall_score(y_test, predi_0025, average='binary')) \n" ] }, { "cell_type": "markdown", "id": "d1ccfed9", "metadata": {}, "source": [ "**Segun bajamos el punto de corte la sensibilidad del modelo mejora.**\n", "\n", "**Para determinar el punto de corte final, elegimos el 0.08, con una sensibilidad del 0.95.**\n", "\n", "**Tenemos en cuenta que muchos ceros se estan clasificando como 1 sin serlo, sacrificamos eso para recoger la mayor cantidad de verdaderos positivos, 1, clientes con probabilidad de abandonar la entidad.**" ] }, { "cell_type": "code", "execution_count": 76, "id": "7fd2d823", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "punto de corte 0.08 [[1 0]\n", " [1 1]\n", " [1 1]\n", " ...\n", " [1 1]\n", " [1 1]\n", " [1 1]]\n", "2593\n" ] } ], "source": [ "prediccion_xtest = modelo_ajusta_train.predict(X_test) \n", "print(\"punto de corte 0.08\", predictions_008) # Ahora si la probabilidad es mayor de 0.08 asigna un 1, si es menor 0\n", "\n", "print(predi_008 .sum()) #sumatorio de los nuevos 1 que estoy teniendo (2593)\n" ] }, { "cell_type": "markdown", "id": "14d47979", "metadata": {}, "source": [ "# RANDOM FOREST" ] }, { "cell_type": "code", "execution_count": 91, "id": "f6b61e27", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Puntuación: 0.8293939393939394\n" ] } ], "source": [ "from sklearn.ensemble import RandomForestClassifier\n", "\n", "#Creamos una instancia con RandomForestClassifier\n", "model_random = RandomForestClassifier(n_estimators = 100, max_depth=3, random_state = 42)\n", "\n", "#Entrenamos el modelo con los datos de entrenamiento\n", "model_random = model_random.fit(X_train,y_train)\n", "predicted_tree = model_random.predict(X_test)\n", "\n", "#Mostramos la puntuación del modelo\n", "print(\"Puntuación:\", model_random.score(X_test,y_test))\n" ] }, { "cell_type": "code", "execution_count": 94, "id": "76e07c02", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ACCURACY: 0.8295008265073659\n", "PRECISIÓN: 0.2888888888888889\n", "RECALL: 0.00180400144494205\n", "F1: 0.0035842524549233603\n", "MATRIX:\n", "[[2737 0]\n", " [ 563 0]]\n", "ROC AUC: 0.7473059298417993\n" ] } ], "source": [ "# Hacemos las predicciones con los datos en test\n", "result_accuracy = cross_val_score(model_random, X, y, cv=kfold, scoring=\"accuracy\") \n", "result_precision = cross_val_score(model_random, X, y, cv=kfold, scoring=\"precision\")\n", "result_recall = cross_val_score(model_random, X, y, cv=kfold, scoring=\"recall\")\n", "result_f1 = cross_val_score(model_random, X, y, cv=kfold, scoring=\"f1\")\n", "result_matrix = confusion_matrix(y_test, predicted_tree)\n", "result_roc_auc = cross_val_score(model_random, X, y, cv=kfold, scoring=\"roc_auc\")\n", "\n", "\n", "print(\"ACCURACY: \", result_accuracy.mean())\n", "print(\"PRECISIÓN: \", result_precision.mean())\n", "print(\"RECALL: \", result_recall.mean())\n", "print(\"F1:\", result_f1.mean())\n", "print(\"MATRIX:\")\n", "print(result_matrix)\n", "print(\"ROC AUC: \", result_roc_auc.mean())" ] }, { "cell_type": "markdown", "id": "be51c5fa", "metadata": {}, "source": [ "# XG BOOST" ] }, { "cell_type": "code", "execution_count": 53, "id": "9d6b3af5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Puntuación: -0.15804883668730496\n", "SCORE: 0.8393939393939394\n" ] } ], "source": [ "from xgboost import XGBClassifier\n", "from sklearn.metrics import r2_score\n", "\n", "#Creamos una instancia con XGBClassifier\n", "model_XGB = XGBClassifier(n_estimators=30, max_depth=2, learning_rate=.2, random_state = 42)\n", "\n", "#Entrenamos el modelo con los datos de entrenamiento\n", "model_XGB.fit(X_train,y_train)\n", "\n", "#Creamos el conjunto de entrenamiento\n", "prediction_XGB = model_XGB.predict(X_test)\n", "\n", "#Calculamos la puntuación con el conjunto de entrenamiento\n", "scoreR2_XGB = r2_score(y_test, prediction_XGB)\n", "\n", "#Mostramos la puntuación del modelo\n", "print(\"Puntuación:\", scoreR2_XGB)\n", "print(\"SCORE:\", model_XGB.score(X_test,y_test))" ] }, { "cell_type": "markdown", "id": "a27cf36e", "metadata": {}, "source": [ "# NAIVE BAYES" ] }, { "cell_type": "code", "execution_count": 55, "id": "d8661d9a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Exactitud: 0.5393939393939394\n", "SCORE: 0.5393939393939394\n" ] } ], "source": [ "from sklearn.naive_bayes import MultinomialNB\n", "from sklearn.feature_extraction.text import CountVectorizer\n", "from sklearn.metrics import accuracy_score\n", "\n", "#Convertimos el texto en una matriz de conteo de palabras\n", "vectorizer = CountVectorizer()\n", "\n", "#Creamos un objeto de Naive Bayes Multinomial\n", "clf = MultinomialNB()\n", "\n", "#Entrenamos el modelo con los datos de entrenamiento\n", "clf.fit(X_train,y_train)\n", "\n", "#Hacemos las predicciones con el modelo entrenado\n", "predicciones = clf.predict(X_test)\n", "\n", "print(\"Exactitud:\", accuracy_score(y_test, predicciones))\n", "print(\"SCORE:\", clf.score(X_test,y_test))" ] }, { "cell_type": "markdown", "id": "2eefa9e6", "metadata": {}, "source": [ "# MÁQUINAS DE VECTORES SOPORTE" ] }, { "cell_type": "code", "execution_count": 56, "id": "468aaa5c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Exactitud: 0.8212121212121212\n", "SCORE: 0.8212121212121212\n" ] } ], "source": [ "from sklearn.svm import SVC\n", "\n", "#Creamos una SVM con un kernel lineal\n", "clf = SVC(kernel='linear')\n", "\n", "#Entrenamos el modelo con los datos de entrenamiento \n", "clf.fit(X_train,y_train)\n", "\n", "#Calculamos la precisión del entrenamiento\n", "y_pred = clf.predict(X_test)\n", "\n", "precision = accuracy_score(y_test,y_pred)\n", "\n", "#Mostramos el resultado\n", "print(\"Exactitud:\", precision)\n", "print(\"SCORE:\", clf.score(X_test,y_test))" ] }, { "cell_type": "markdown", "id": "bb97c291", "metadata": {}, "source": [ "# Ejercicio 4" ] }, { "cell_type": "markdown", "id": "c4bacafc", "metadata": {}, "source": [ "### TRANSFORMACIÓN DE VARIABLES. ESTANDARIZACIÓN" ] }, { "cell_type": "code", "execution_count": 44, "id": "efa10f70", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[-0.32622142 0.35679589 -1.22584767 0.01863117]\n", " [-0.44003595 0.25256104 0.11735002 0.22125639]\n", " [-1.53679418 0.35679589 1.33305335 0.24639949]\n", " ...\n", " [ 0.60498839 -0.16437836 -1.22584767 -1.05413643]\n", " [ 1.25683526 0.35679589 -0.02260751 -0.13451589]\n", " [ 1.46377078 -1.102492 0.85996499 -1.12463901]]\n" ] } ], "source": [ "from sklearn.preprocessing import StandardScaler\n", "\n", "pred_labels = ['CreditScore', 'Age', 'Balance', 'EstimatedSalary']\n", "\n", "# Extrae las columnas que deseas utilizar para el clustering\n", "X = df_limpio[pred_labels]\n", "\n", "\n", "scaler = StandardScaler()\n", "rescaledX = scaler.fit_transform(X)\n", "\n", "print(rescaledX)" ] }, { "cell_type": "markdown", "id": "51a8a2c2", "metadata": {}, "source": [ "## K-MEANS" ] }, { "cell_type": "code", "execution_count": 45, "id": "ac898e2f", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Calculamos la distorsión existente para un rango de 1 a 10 clústeres.\n", "# n_init es el número de veces que se lanza el algoritmo con diferentes datos iniciales para los centroides\n", "\n", "import matplotlib.pyplot as plt\n", "from sklearn.cluster import KMeans\n", "\n", "distorsion = []\n", "\n", "for i in range(1, 10):\n", " kmeans = KMeans (n_clusters = i, n_init=10, random_state = 42).fit(rescaledX)\n", " distorsion.append(kmeans.inertia_)\n", "\n", "\n", "plt.xlabel(\"Número clústeres\")\n", "plt.ylabel(\"Distorsión\")\n", "plt.plot(range(1,10), distorsion, \"bx-\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "c4a92044", "metadata": {}, "source": [ "**Nos indica un posible número optimo de 3 clústeres**" ] }, { "cell_type": "code", "execution_count": 46, "id": "55edb39e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Centroides:\n", " [[-0.02377697 -0.30046274 -1.18920997 -0.02038415]\n", " [-0.03780652 1.66156955 0.23339071 -0.03384429]\n", " [ 0.03024396 -0.3919871 0.74392459 0.02644673]]\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from sklearn.cluster import KMeans\n", "\n", "# Finalmente inicializamos el algoritmo K-means con k = 3 clústeres porque encontramos que asi se genera la clasificación\n", "kmeans = KMeans(n_clusters=3) # más clara \n", "kmeans.fit(rescaledX)\n", "\n", "# Predecimos la asignación del clúster para cada punto de datos\n", "labels = kmeans.predict(rescaledX)\n", "\n", "# Obtenemos los centroides de los clústeres\n", "centroides = kmeans.cluster_centers_\n", "\n", "print(\"Centroides:\\n\", centroides)\n", "\n", "\n", "plt.scatter(rescaledX[:, 0], rescaledX[:, 1], c=labels)\n", "plt.scatter(centroides[:, 0], centroides[:, 1], marker=\"x\", s=200, linewidths=3, color=\"b\")\n", "plt.xlabel('Balance')\n", "plt.ylabel('Age')\n", "plt.title('Cluster')\n", "\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "acf609db", "metadata": {}, "source": [ "## INTERPRETACIÓN DE LOS RESULTADOS" ] }, { "cell_type": "code", "execution_count": 47, "id": "c03c92d7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CreditScoreGenderBalanceNumOfProductsHasCrCardIsActiveMemberAgeGeographyEstimatedSalaryExitedTenureCluster
061900.0011142.01101348.8812.00
1608083807.8610141.02112542.5801.02
25020159660.8031042.01113931.5718.02
369900.0020039.0193826.6301.00
48500125510.8211143.0279084.1002.02
\n", "
" ], "text/plain": [ " CreditScore Gender Balance NumOfProducts HasCrCard IsActiveMember \\\n", "0 619 0 0.00 1 1 1 \n", "1 608 0 83807.86 1 0 1 \n", "2 502 0 159660.80 3 1 0 \n", "3 699 0 0.00 2 0 0 \n", "4 850 0 125510.82 1 1 1 \n", "\n", " Age Geography EstimatedSalary Exited Tenure Cluster \n", "0 42.0 1 101348.88 1 2.0 0 \n", "1 41.0 2 112542.58 0 1.0 2 \n", "2 42.0 1 113931.57 1 8.0 2 \n", "3 39.0 1 93826.63 0 1.0 0 \n", "4 43.0 2 79084.10 0 2.0 2 " ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Asignación de grupo de cluster a cada registro del dataframe original\n", "\n", "# Nuevo dataframe. Agregamos la columna \"Cluster\" \n", "df_clusters = df.copy()\n", "df_clusters['Cluster'] = labels\n", "\n", "\n", "# vemos a que cluster pertenece cada registro\n", "df_clusters.head()" ] }, { "cell_type": "code", "execution_count": 48, "id": "0c7c7e9d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([0, 2, 1], dtype=int32)" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# comprobamos que se han asignado 3 tipos distintos de cluster a cada registro\n", "\n", "df_clusters['Cluster'].unique()" ] }, { "cell_type": "markdown", "id": "65513e12", "metadata": {}, "source": [ "# AGRUPACIÓN DE REGISTROS (CLIENTES) PARA SU ESTUDIO" ] }, { "cell_type": "markdown", "id": "549283a5", "metadata": {}, "source": [ "## CLUSTER 0" ] }, { "cell_type": "code", "execution_count": 49, "id": "83e93ca2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CreditScoreGenderBalanceNumOfProductsHasCrCardIsActiveMemberAgeGeographyEstimatedSalaryExitedTenureCluster
061900.0011142.01101348.8812.00
369900.0020039.0193826.6301.00
682210.0021150.0110062.8007.00
1149710.0021024.0276390.0103.00
1247600.0021034.0126260.98010.00
.......................................
999272610.0011036.02195192.4002.00
999480000.0020029.01167773.5502.00
999577110.0021039.0196270.6405.00
9996516157369.6111135.01101699.77010.00
999770900.0010137.0142085.5817.00
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3385 rows × 12 columns

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" ], "text/plain": [ " CreditScore Gender Balance NumOfProducts HasCrCard IsActiveMember \\\n", "0 619 0 0.00 1 1 1 \n", "3 699 0 0.00 2 0 0 \n", "6 822 1 0.00 2 1 1 \n", "11 497 1 0.00 2 1 0 \n", "12 476 0 0.00 2 1 0 \n", "... ... ... ... ... ... ... \n", "9992 726 1 0.00 1 1 0 \n", "9994 800 0 0.00 2 0 0 \n", "9995 771 1 0.00 2 1 0 \n", "9996 516 1 57369.61 1 1 1 \n", "9997 709 0 0.00 1 0 1 \n", "\n", " Age Geography EstimatedSalary Exited Tenure Cluster \n", "0 42.0 1 101348.88 1 2.0 0 \n", "3 39.0 1 93826.63 0 1.0 0 \n", "6 50.0 1 10062.80 0 7.0 0 \n", "11 24.0 2 76390.01 0 3.0 0 \n", "12 34.0 1 26260.98 0 10.0 0 \n", "... ... ... ... ... ... ... \n", "9992 36.0 2 195192.40 0 2.0 0 \n", "9994 29.0 1 167773.55 0 2.0 0 \n", "9995 39.0 1 96270.64 0 5.0 0 \n", "9996 35.0 1 101699.77 0 10.0 0 \n", "9997 37.0 1 42085.58 1 7.0 0 \n", "\n", "[3385 rows x 12 columns]" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_cluster_0 = df_clusters[df_clusters['Cluster'] == 0]\n", "\n", "df_cluster_0" ] }, { "cell_type": "code", "execution_count": 50, "id": "2b6c8c99", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CreditScoreGenderBalanceNumOfProductsHasCrCardIsActiveMemberAgeGeographyEstimatedSalaryExitedTenureCluster
count3385.0000003385.0000003385.0000003385.0000003385.0000003385.0000003385.0000003385.0000003385.0000003385.0000003385.0000003385.0
mean648.2301330.5444612299.2324221.7778430.7172820.49394435.6971941.35893699181.1470920.0853775.0782870.0
std96.2628760.49809310813.4439570.4907350.4503870.5000376.5380460.51078655394.5217800.2794832.8705450.0
min373.0000000.0000000.0000001.0000000.0000000.00000018.0000001.00000090.0700000.0000000.0000000.0
25%581.0000000.0000000.0000001.0000000.0000000.00000031.0000001.00000054628.1100000.0000003.0000000.0
50%649.0000001.0000000.0000002.0000001.0000000.00000036.0000001.000000100608.4350000.0000005.0000000.0
75%715.0000001.0000000.0000002.0000001.0000001.00000040.0000002.000000144078.0200000.0000008.0000000.0
max850.0000001.00000065521.2000004.0000001.0000001.00000050.0000003.000000199992.4800001.00000010.0000000.0
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" ], "text/plain": [ " CreditScore Gender Balance NumOfProducts HasCrCard \\\n", "count 3385.000000 3385.000000 3385.000000 3385.000000 3385.000000 \n", "mean 648.230133 0.544461 2299.232422 1.777843 0.717282 \n", "std 96.262876 0.498093 10813.443957 0.490735 0.450387 \n", "min 373.000000 0.000000 0.000000 1.000000 0.000000 \n", "25% 581.000000 0.000000 0.000000 1.000000 0.000000 \n", "50% 649.000000 1.000000 0.000000 2.000000 1.000000 \n", "75% 715.000000 1.000000 0.000000 2.000000 1.000000 \n", "max 850.000000 1.000000 65521.200000 4.000000 1.000000 \n", "\n", " IsActiveMember Age Geography EstimatedSalary Exited \\\n", "count 3385.000000 3385.000000 3385.000000 3385.000000 3385.000000 \n", "mean 0.493944 35.697194 1.358936 99181.147092 0.085377 \n", "std 0.500037 6.538046 0.510786 55394.521780 0.279483 \n", "min 0.000000 18.000000 1.000000 90.070000 0.000000 \n", "25% 0.000000 31.000000 1.000000 54628.110000 0.000000 \n", "50% 0.000000 36.000000 1.000000 100608.435000 0.000000 \n", "75% 1.000000 40.000000 2.000000 144078.020000 0.000000 \n", "max 1.000000 50.000000 3.000000 199992.480000 1.000000 \n", "\n", " Tenure Cluster \n", "count 3385.000000 3385.0 \n", "mean 5.078287 0.0 \n", "std 2.870545 0.0 \n", "min 0.000000 0.0 \n", "25% 3.000000 0.0 \n", "50% 5.000000 0.0 \n", "75% 8.000000 0.0 \n", "max 10.000000 0.0 " ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_cluster_0.describe()" ] }, { "cell_type": "code", "execution_count": 51, "id": "6ba081c9", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " \n", "1 1843\n", "0 1542\n", "Name: Gender, dtype: int64\n", " \n", "2 2439\n", "1 855\n", "3 79\n", "4 12\n", "Name: NumOfProducts, dtype: int64\n", " \n", "1 2428\n", "0 957\n", "Name: HasCrCard, dtype: int64\n", " \n", "0 1713\n", "1 1672\n", "Name: IsActiveMember, dtype: int64\n", " \n", "1 2222\n", "2 1111\n", "3 52\n", "Name: Geography, dtype: int64\n", " \n", "0 3096\n", "1 289\n", "Name: Exited, dtype: int64\n" ] } ], "source": [ "# Cantidad registros variables categoricas\n", "\n", "variables3 = [\"Gender\", \"NumOfProducts\", \"HasCrCard\", \"IsActiveMember\", \"Geography\",\"Exited\"]\n", "\n", "for i in variables3:\n", " print(\" \")\n", " print(df_cluster_0[i].value_counts())" ] }, { "cell_type": "code", "execution_count": 52, "id": "2be42c79", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Estudio variables con graficos de barras/histogramas:\n", "\n", "fig = plt.figure(figsize=(20,20))\n", "\n", "for i,column in enumerate(df_cluster_0.columns):\n", " ax = fig.add_subplot(4,3,i+1)\n", " ax.bar(df_cluster_0[column].value_counts().index, df_cluster_0[column].value_counts(),color='yellow')\n", " ax.set_title(column)\n", " \n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 53, "id": "6c044a05", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(9,4))\n", "\n", "for i, var in enumerate(['Balance', 'EstimatedSalary']):\n", " ax = fig.add_subplot(1, 2, i+1)\n", " ax.hist(df_cluster_0[var], bins=10,color='yellow')\n", " ax.set_title(var)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "af302219", "metadata": {}, "source": [ "## CLUSTER 1" ] }, { "cell_type": "code", "execution_count": 54, "id": "cebbda52", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CreditScoreGenderBalanceNumOfProductsHasCrCardIsActiveMemberAgeGeographyEstimatedSalaryExitedTenureCluster
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1755 rows × 12 columns

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" ], "text/plain": [ " CreditScore Gender Balance NumOfProducts HasCrCard \\\n", "35 475 0 134264.04 1 1 \n", "41 465 0 122522.32 1 0 \n", "42 556 0 117419.35 1 1 \n", "43 834 0 131394.56 1 0 \n", "44 660 0 155931.11 1 1 \n", "... ... ... ... ... ... \n", "9956 520 0 85216.61 1 1 \n", "9967 623 1 118469.38 1 1 \n", "9979 677 0 90022.85 1 0 \n", "9982 655 0 137145.12 1 1 \n", "9991 597 0 88381.21 1 1 \n", "\n", " IsActiveMember Age Geography EstimatedSalary Exited Tenure \\\n", "35 0 45.0 1 27822.990 1 0.0 \n", "41 0 51.0 1 181297.650 1 8.0 \n", "42 1 63.0 1 94153.830 0 2.0 \n", "43 0 49.0 1 100608.435 1 2.0 \n", "44 1 63.0 2 158338.390 0 5.0 \n", "... ... ... ... ... ... ... \n", "9956 0 46.0 1 117369.520 1 10.0 \n", "9967 1 48.0 1 158590.250 0 5.0 \n", "9979 1 58.0 1 2988.280 0 1.0 \n", "9982 0 46.0 3 115146.400 1 7.0 \n", "9991 0 53.0 1 69384.710 1 4.0 \n", "\n", " Cluster \n", "35 1 \n", "41 1 \n", "42 1 \n", "43 1 \n", "44 1 \n", "... ... \n", "9956 1 \n", "9967 1 \n", "9979 1 \n", "9982 1 \n", "9991 1 \n", "\n", "[1755 rows x 12 columns]" ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_cluster_1 = df_clusters[df_clusters['Cluster'] == 1]\n", "\n", "df_cluster_1" ] }, { "cell_type": "code", "execution_count": 55, "id": "a12e8869", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CreditScoreGenderBalanceNumOfProductsHasCrCardIsActiveMemberAgeGeographyEstimatedSalaryExitedTenureCluster
count1755.0000001755.0000001755.0000001755.0000001755.0000001755.0000001755.0000001755.0000001755.0000001755.0000001755.0000001755.0
mean646.8393160.51794991040.8806381.4507120.6917380.59772154.5339031.90769298523.0569490.3960115.0222221.0
std98.1244370.49982054721.7278910.6488680.4619070.4904976.3614400.87569754503.4846020.4892062.9112820.0
min350.0000000.0000000.0000001.0000000.0000000.00000043.0000001.00000011.5800000.0000000.0000001.0
25%581.5000000.00000064274.7200001.0000000.0000000.00000049.0000001.00000053266.2850000.0000003.0000001.0
50%646.0000001.000000106938.1100001.0000001.0000001.00000054.0000002.000000100608.4350000.0000005.0000001.0
75%715.0000001.000000128941.9850002.0000001.0000001.00000063.0000003.000000141489.0050001.0000008.0000001.0
max850.0000001.000000238387.5600004.0000001.0000001.00000063.0000003.000000199661.5000001.00000010.0000001.0
\n", "
" ], "text/plain": [ " CreditScore Gender Balance NumOfProducts HasCrCard \\\n", "count 1755.000000 1755.000000 1755.000000 1755.000000 1755.000000 \n", "mean 646.839316 0.517949 91040.880638 1.450712 0.691738 \n", "std 98.124437 0.499820 54721.727891 0.648868 0.461907 \n", "min 350.000000 0.000000 0.000000 1.000000 0.000000 \n", "25% 581.500000 0.000000 64274.720000 1.000000 0.000000 \n", "50% 646.000000 1.000000 106938.110000 1.000000 1.000000 \n", "75% 715.000000 1.000000 128941.985000 2.000000 1.000000 \n", "max 850.000000 1.000000 238387.560000 4.000000 1.000000 \n", "\n", " IsActiveMember Age Geography EstimatedSalary Exited \\\n", "count 1755.000000 1755.000000 1755.000000 1755.000000 1755.000000 \n", "mean 0.597721 54.533903 1.907692 98523.056949 0.396011 \n", "std 0.490497 6.361440 0.875697 54503.484602 0.489206 \n", "min 0.000000 43.000000 1.000000 11.580000 0.000000 \n", "25% 0.000000 49.000000 1.000000 53266.285000 0.000000 \n", "50% 1.000000 54.000000 2.000000 100608.435000 0.000000 \n", "75% 1.000000 63.000000 3.000000 141489.005000 1.000000 \n", "max 1.000000 63.000000 3.000000 199661.500000 1.000000 \n", "\n", " Tenure Cluster \n", "count 1755.000000 1755.0 \n", "mean 5.022222 1.0 \n", "std 2.911282 0.0 \n", "min 0.000000 1.0 \n", "25% 3.000000 1.0 \n", "50% 5.000000 1.0 \n", "75% 8.000000 1.0 \n", "max 10.000000 1.0 " ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_cluster_1.describe()" ] }, { "cell_type": "code", "execution_count": 56, "id": "821370b7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " \n", "1 909\n", "0 846\n", "Name: Gender, dtype: int64\n", " \n", "1 1095\n", "2 550\n", "3 89\n", "4 21\n", "Name: NumOfProducts, dtype: int64\n", " \n", "1 1214\n", "0 541\n", "Name: HasCrCard, dtype: int64\n", " \n", "1 1049\n", "0 706\n", "Name: IsActiveMember, dtype: int64\n", " \n", "1 761\n", "3 599\n", "2 395\n", "Name: Geography, dtype: int64\n", " \n", "0 1060\n", "1 695\n", "Name: Exited, dtype: int64\n" ] } ], "source": [ "for i in variables3:\n", " print(\" \")\n", " print(df_cluster_1[i].value_counts())" ] }, { "cell_type": "code", "execution_count": 57, "id": "6701c616", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Estudio variables con graficos de barras/histogramas:\n", "\n", "fig = plt.figure(figsize=(20,20))\n", "\n", "for i,column in enumerate(df_cluster_1.columns):\n", " ax = fig.add_subplot(4,3,i+1)\n", " ax.bar(df_cluster_1[column].value_counts().index, df_cluster_1[column].value_counts(), color='green')\n", " ax.set_title(column)\n", " \n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 58, "id": "e60db8bd", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(9,4))\n", "\n", "for i, var in enumerate(['Balance', 'EstimatedSalary']):\n", " ax = fig.add_subplot(1, 2, i+1)\n", " ax.hist(df_cluster_1[var], bins=10, color='green')\n", " ax.set_title(var)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "b1bab3fc", "metadata": {}, "source": [ "## CLUSTER 2 " ] }, { "cell_type": "code", "execution_count": 59, "id": "3c19fc1f", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CreditScoreGenderBalanceNumOfProductsHasCrCardIsActiveMemberAgeGeographyEstimatedSalaryExitedTenureCluster
1608083807.8610141.02112542.5801.02
25020159660.8031042.01113931.5718.02
48500125510.8211143.0279084.1002.02
56451113755.7821044.02149756.7108.02
73760115046.7441029.03119346.8814.02
.......................................
99866731183579.5420147.0334047.5401.02
99876061180307.7321130.021914.4108.02
99936441155060.4111028.0129179.5207.02
9998772175075.3121042.0392888.5213.02
99997920130142.7911028.0138190.7804.02
\n", "

4860 rows × 12 columns

\n", "
" ], "text/plain": [ " CreditScore Gender Balance NumOfProducts HasCrCard \\\n", "1 608 0 83807.86 1 0 \n", "2 502 0 159660.80 3 1 \n", "4 850 0 125510.82 1 1 \n", "5 645 1 113755.78 2 1 \n", "7 376 0 115046.74 4 1 \n", "... ... ... ... ... ... \n", "9986 673 1 183579.54 2 0 \n", "9987 606 1 180307.73 2 1 \n", "9993 644 1 155060.41 1 1 \n", "9998 772 1 75075.31 2 1 \n", "9999 792 0 130142.79 1 1 \n", "\n", " IsActiveMember Age Geography EstimatedSalary Exited Tenure \\\n", "1 1 41.0 2 112542.58 0 1.0 \n", "2 0 42.0 1 113931.57 1 8.0 \n", "4 1 43.0 2 79084.10 0 2.0 \n", "5 0 44.0 2 149756.71 0 8.0 \n", "7 0 29.0 3 119346.88 1 4.0 \n", "... ... ... ... ... ... ... \n", "9986 1 47.0 3 34047.54 0 1.0 \n", "9987 1 30.0 2 1914.41 0 8.0 \n", "9993 0 28.0 1 29179.52 0 7.0 \n", "9998 0 42.0 3 92888.52 1 3.0 \n", "9999 0 28.0 1 38190.78 0 4.0 \n", "\n", " Cluster \n", "1 2 \n", "2 2 \n", "4 2 \n", "5 2 \n", "7 2 \n", "... ... \n", "9986 2 \n", "9987 2 \n", "9993 2 \n", "9998 2 \n", "9999 2 \n", "\n", "[4860 rows x 12 columns]" ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_cluster_2 = df_clusters[df_clusters['Cluster'] == 2]\n", "\n", "df_cluster_2" ] }, { "cell_type": "code", "execution_count": 60, "id": "8f5f5927", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CreditScoreGenderBalanceNumOfProductsHasCrCardIsActiveMemberAgeGeographyEstimatedSalaryExitedTenureCluster
count4860.0000004860.0000004860.0000004860.0000004860.0000004860.0000004860.0000004860.0000004860.0000004860.0000004860.0000004860.0
mean653.4621400.556584122901.0793441.3864200.7022630.50000034.8205761.964403101761.3505160.1479424.9637862.0
std96.3198820.49683928004.0554380.5575180.4573100.5000515.7606710.89392655382.5950230.3550792.8999090.0
min350.0000000.00000060205.2000001.0000000.0000000.00000018.0000001.000000143.3400000.0000000.0000002.0
25%587.0000000.000000102831.9550001.0000000.0000000.00000031.0000001.00000056774.8575000.0000002.0000002.0
50%655.0000001.000000121940.3350001.0000001.0000000.50000036.0000002.000000100608.4350000.0000005.0000002.0
75%720.0000001.000000141351.1900002.0000001.0000001.00000039.0000003.000000147524.2850000.0000007.0000002.0
max850.0000001.000000250898.0900004.0000001.0000001.00000048.0000003.000000199970.7400001.00000010.0000002.0
\n", "
" ], "text/plain": [ " CreditScore Gender Balance NumOfProducts HasCrCard \\\n", "count 4860.000000 4860.000000 4860.000000 4860.000000 4860.000000 \n", "mean 653.462140 0.556584 122901.079344 1.386420 0.702263 \n", "std 96.319882 0.496839 28004.055438 0.557518 0.457310 \n", "min 350.000000 0.000000 60205.200000 1.000000 0.000000 \n", "25% 587.000000 0.000000 102831.955000 1.000000 0.000000 \n", "50% 655.000000 1.000000 121940.335000 1.000000 1.000000 \n", "75% 720.000000 1.000000 141351.190000 2.000000 1.000000 \n", "max 850.000000 1.000000 250898.090000 4.000000 1.000000 \n", "\n", " IsActiveMember Age Geography EstimatedSalary Exited \\\n", "count 4860.000000 4860.000000 4860.000000 4860.000000 4860.000000 \n", "mean 0.500000 34.820576 1.964403 101761.350516 0.147942 \n", "std 0.500051 5.760671 0.893926 55382.595023 0.355079 \n", "min 0.000000 18.000000 1.000000 143.340000 0.000000 \n", "25% 0.000000 31.000000 1.000000 56774.857500 0.000000 \n", "50% 0.500000 36.000000 2.000000 100608.435000 0.000000 \n", "75% 1.000000 39.000000 3.000000 147524.285000 0.000000 \n", "max 1.000000 48.000000 3.000000 199970.740000 1.000000 \n", "\n", " Tenure Cluster \n", "count 4860.000000 4860.0 \n", "mean 4.963786 2.0 \n", "std 2.899909 0.0 \n", "min 0.000000 2.0 \n", "25% 2.000000 2.0 \n", "50% 5.000000 2.0 \n", "75% 7.000000 2.0 \n", "max 10.000000 2.0 " ] }, "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_cluster_2.describe()" ] }, { "cell_type": "code", "execution_count": 61, "id": "ff57f7f8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " \n", "1 2705\n", "0 2155\n", "Name: Gender, dtype: int64\n", " \n", "1 3134\n", "2 1601\n", "3 98\n", "4 27\n", "Name: NumOfProducts, dtype: int64\n", " \n", "1 3413\n", "0 1447\n", "Name: HasCrCard, dtype: int64\n", " \n", "1 2430\n", "0 2430\n", "Name: IsActiveMember, dtype: int64\n", " \n", "1 2031\n", "3 1858\n", "2 971\n", "Name: Geography, dtype: int64\n", " \n", "0 4141\n", "1 719\n", "Name: Exited, dtype: int64\n" ] } ], "source": [ "for i in variables3:\n", " print(\" \")\n", " print(df_cluster_2[i].value_counts())" ] }, { "cell_type": "code", "execution_count": 62, "id": "4ef4915d", "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Estudio variables con graficos de barras/histogramas:\n", "\n", "fig = plt.figure(figsize=(20,20))\n", "\n", "for i,column in enumerate(df_cluster_2.columns):\n", " ax = fig.add_subplot(4,3,i+1)\n", " ax.bar(df_cluster_2[column].value_counts().index, df_cluster_2[column].value_counts(), color='purple')\n", " ax.set_title(column)\n", " \n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 63, "id": "66f4d1f3", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(9,4))\n", "\n", "for i, var in enumerate(['Balance', 'EstimatedSalary']):\n", " ax = fig.add_subplot(1, 2, i+1)\n", " ax.hist(df_cluster_2[var], bins=10, color='purple')\n", " ax.set_title(var)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "eef7d14c", "metadata": {}, "source": [ "# Representación gráfica de distribución de la muestra de clientes por cluster " ] }, { "cell_type": "code", "execution_count": 64, "id": "0e05833c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 64, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "\n", "sns.scatterplot(x='Age', y='Balance', hue='Cluster', data=df_clusters)" ] }, { "cell_type": "markdown", "id": "9551e1f3", "metadata": {}, "source": [ "# Prueba con DBSCAN" ] }, { "cell_type": "code", "execution_count": 43, "id": "8354968d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from sklearn.cluster import DBSCAN\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from sklearn.preprocessing import StandardScaler\n", "\n", "\n", "pred_labels = ['CreditScore', 'Age', 'Balance', 'EstimatedSalary']\n", "\n", "X = df_limpio[pred_labels]\n", "\n", "# Estandarizar valores\n", "scaler = StandardScaler()\n", "rescaledX = scaler.fit_transform(X)\n", "\n", "#Transformarlos a matriz\n", "X = np.asarray(rescaledX)\n", "\n", "#Creamos una instancia de DBSCAN\n", "dbscan = DBSCAN (eps= 1, min_samples=4)\n", "\n", "#Ajustamos y entramos el modelo en los datos\n", "y_pred = dbscan.fit_predict(X)\n", "\n", "#Pintamos los resultados\n", "plt.scatter(X[:,2], X[:,3], c = y_pred) \n", "plt.show" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 5 }