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{ createGlobalStyle } from 'styled-components';\n\nexport default createGlobalStyle`\n  *{\n    margin: 0;\n    padding: 0;\n    box-sizing: border-box;\n  }\n\n  body {\n  width: 100%;\n  height: 100vh;\n  background-color: ${props => props.theme.colors.background};\n  }\n\n  body,\n  input,\n  textarea,\n  select,\n  button {\n    font: 400 1rem ${props => props.theme.font.Ralaway}, sans-serif;\n  }\n\n  button {\n    cursor: pointer;\n    border: none;\n    margin: 0;\n    text-decoration: none;\n    color: #ffffff;\n    font-size: 1rem;\n    cursor: pointer;\n    text-align: center;\n    transition: background 250ms ease-in-out,\n                transform 150ms ease;\n    -webkit-appearance: none;\n    -moz-appearance: none;\n  }\n\n  ul,\n  ol {\n    list-style: none;\n  }\n\n  a {\n    text-decoration: none;\n    color: inherit;\n  }\n`;\n","import styled, { keyframes } from 'styled-components';\n\nconst arrowLeftAnimation = keyframes`\n  0% { margin-left: 0 }\n  50% {margin-left: -10px; opacity: 0.4}\n`;\n\nconst arrowRightAnimation = keyframes`\n  0% { margin-right: 0 }\n  50% {margin-right: -10px; opacity: 0.4}\n`;\n\nconst arrowTopAnimation = keyframes`\n  0% { margin-top: 0 }\n  50% {margin-top: -10px; opacity: 0.4}\n`;\n\nconst arrowBottomAnimation = keyframes`\n  0% { margin-bottom: 0 }\n  50% {margin-bottom: -10px; opacity: 0.4}\n`;\n\nexport const Container = styled.div`\n  color: ${({ theme }) => theme.colors.grey['1']};\n\n  display: flex;\n  align-items: center;\n\n  opacity: 0.7;\n  width: 30px;\n  height: 30px;\n  z-index: 2;\n\n  &.isLeft {\n    svg:nth-child(1) {\n      position: fixed;\n      top: calc(50% - 15px);\n      left: 80px;\n      display: block;\n\n      animation-name: ${arrowLeftAnimation};\n    }\n  }\n\n  &.isRight {\n    svg:nth-child(2) {\n      position: fixed;\n      top: calc(50% - 15px);\n      right: 60px;\n      display: block;\n\n      animation-name: ${arrowRightAnimation};\n    }\n  }\n\n  &.isTop {\n    svg:nth-child(3) {\n      position: fixed;\n      top: 90px;\n      left: calc(50% - 15px);\n      display: block;\n\n      animation-name: ${arrowTopAnimation};\n    }\n  }\n\n  &.isBottom {\n    svg:nth-child(4) {\n      position: fixed;\n      bottom: 20px;\n      left: calc(50% - 15px);\n      display: block;\n\n      animation-name: ${arrowBottomAnimation};\n    }\n  }\n\n  svg {\n    animation-duration: 1s;\n    animation-iteration-count: infinite;\n    animation-timing-function: linear;\n    display: none;\n\n    pointer-events: none;\n  }\n`;\n","import { forwardRef, ForwardRefRenderFunction } from 'react';\nimport {\n  IoIosArrowBack,\n  IoIosArrowDown,\n  IoIosArrowForward,\n  IoIosArrowUp\n} from 'react-icons/io';\n\nimport { Container } from './styles';\n\nconst ArrowsDirectionScrollElem: ForwardRefRenderFunction<HTMLDivElement> = (\n  props,\n  ref\n) => (\n  <Container ref={ref}>\n    <IoIosArrowBack size=\"30\" />\n    <IoIosArrowForward size=\"30\" />\n\n    <IoIosArrowUp size=\"30\" />\n    <IoIosArrowDown size=\"30\" />\n  </Container>\n);\n\nconst ArrowsDirectionScroll = forwardRef(ArrowsDirectionScrollElem);\n\nexport { ArrowsDirectionScroll };\n","import {\n  useContext,\n  createContext,\n  useState,\n  useEffect,\n  useCallback\n} from 'react';\nimport lodash from 'lodash';\n\ninterface YearsProps {\n  children: React.ReactNode;\n}\n\ntype YearsRangeProps = {\n  year: number;\n  range: number[];\n};\n\ntype YearsContextType = {\n  years: number[];\n  yearsLength: number;\n  changeInterval: (intervalNumber: number) => void;\n  interval: number;\n  yearsRange: () => YearsRangeProps[];\n};\n\nconst YearsContext = createContext({} as YearsContextType);\n\nexport function YearsContextProvider({ children }: YearsProps) {\n  const [rangeOfYears, setRangeOfYears] = useState<number[]>([]);\n\n  useEffect(() => {\n    setRangeOfYears(lodash.range(1960, new Date().getFullYear() + 1));\n  }, []);\n\n  const [years, setYears] = useState<number[]>([]);\n\n  const [interval, setInterval] = useState(5);\n\n  const setYearsInAnInterval = useCallback(() => {\n    const arrayOfYears: number[] = [];\n\n    rangeOfYears.forEach(\n      year => year % interval === 0 && arrayOfYears.push(year)\n    );\n\n    setYears(arrayOfYears);\n  }, [interval, rangeOfYears]);\n\n  useEffect(() => {\n    setYearsInAnInterval();\n  }, [setYearsInAnInterval]);\n\n  // Pega a contagem de anos no array de anos\n  const yearsLength = years.length;\n\n  // Muda o intervalo de anos\n  const changeInterval = useCallback((intervalNumber: number) => {\n    setInterval(() => intervalNumber);\n  }, []);\n\n  const yearsRange = useCallback(() => {\n    const range = years.map(year => ({\n      year,\n      range: lodash.range(year, year + interval)\n    }));\n\n    return range;\n  }, [interval, years]);\n\n  return (\n    <YearsContext.Provider\n      value={{\n        years,\n        changeInterval,\n        interval,\n        yearsLength,\n        yearsRange\n      }}\n    >\n      {children}\n    </YearsContext.Provider>\n  );\n}\n\nexport const useYears = () => useContext(YearsContext);\n","import { useContext, createContext, useState, useCallback } from 'react';\n\ninterface BoxDimensionsProps {\n  children: React.ReactNode;\n}\n\ntype BoxDimensionsContextType = {\n  changeBoxWidth: (boxSize: number) => void;\n  boxWidth: number;\n};\n\nconst BoxDimensionsContext = createContext({} as BoxDimensionsContextType);\n\nexport function BoxDimensionsContextProvider({ children }: BoxDimensionsProps) {\n  const [boxWidth, setBoxWidth] = useState(0);\n\n  const changeBoxWidth = useCallback((boxSize: number) => {\n    setBoxWidth(boxSize);\n  }, []);\n\n  return (\n    <BoxDimensionsContext.Provider\n      value={{\n        changeBoxWidth,\n        boxWidth\n      }}\n    >\n      {children}\n    </BoxDimensionsContext.Provider>\n  );\n}\n\nexport const useBoxDimensions = () => useContext(BoxDimensionsContext);\n","import {\n  useContext,\n  createContext,\n  useEffect,\n  useState,\n  useCallback\n} from 'react';\n\ninterface ScreenDimensionsProps {\n  children: React.ReactNode;\n}\n\ntype CurrentWindowDimensionProps = {\n  x: number;\n  y: number;\n};\n\ntype ScreenDimensionsContextType = {\n  mainWindowScreen: {\n    x: number;\n    y: number;\n  };\n\n  currentWindowDimensions: CurrentWindowDimensionProps;\n\n  changeCurrentWindowDimensions: ({\n    x,\n    y\n  }: CurrentWindowDimensionProps) => void;\n};\n\nconst ScreenDimensionsContext = createContext(\n  {} as ScreenDimensionsContextType\n);\n\n// Pega as dimensões da tela\nconst windowDimensions = () => {\n  const { innerWidth: x, innerHeight: y } = window;\n  return {\n    x,\n    y\n  };\n};\n\nexport function ScreenDimensionsContextProvider({\n  children\n}: ScreenDimensionsProps) {\n  const [mainWindowScreen, setMainWindowScreen] = useState(windowDimensions()); // Tamanho da janela do navegador\n  const [currentWindowDimensions, setCurrentWindowDimensions] =\n    useState<CurrentWindowDimensionProps>({\n      x: 0,\n      y: 0\n    }); // Tamanho de uma tela específica\n\n  useEffect(() => {\n    const handleResize = () => {\n      setMainWindowScreen(windowDimensions());\n    };\n\n    window.addEventListener('resize', handleResize);\n    return () => window.removeEventListener('resize', handleResize);\n  }, []);\n\n  const changeCurrentWindowDimensions = useCallback(\n    ({ x, y }: CurrentWindowDimensionProps) => {\n      setCurrentWindowDimensions({ x, y });\n    },\n    []\n  );\n\n  return (\n    <ScreenDimensionsContext.Provider\n      value={{\n        mainWindowScreen,\n        currentWindowDimensions,\n        changeCurrentWindowDimensions\n      }}\n    >\n      {children}\n    </ScreenDimensionsContext.Provider>\n  );\n}\n\nexport const useScreenDimensions = () => useContext(ScreenDimensionsContext);\n","import { useContext, createContext, useState, useCallback } from 'react';\n\nimport { useYears } from './useYears';\n\ninterface ZoomProps {\n  children: React.ReactNode;\n}\n\ntype ZoomContextType = {\n  zoomLevel: number;\n  handleZoomIn: () => void;\n  handleZoomOut: () => void;\n  handleLoading: (time: number) => void;\n  isLoading: boolean;\n};\n\nconst ZoomContext = createContext({} as ZoomContextType);\n\nexport function ZoomContextProvider({ children }: ZoomProps) {\n  const [zoomLevel, setZoomLevel] = useState(0);\n  const [isLoading, setIsLoading] = useState(false);\n\n  const { changeInterval } = useYears();\n\n  const handleLoading = useCallback((time?: number): void => {\n    setIsLoading(true);\n\n    setTimeout(() => {\n      setIsLoading(false);\n    }, time || 200);\n  }, []);\n\n  // ZOOM IN\n  const handleZoomIn = useCallback(() => {\n    handleLoading();\n\n    if (zoomLevel === 0) {\n      setZoomLevel(1);\n      changeInterval(3);\n      return;\n    }\n\n    if (zoomLevel === 1) {\n      setZoomLevel(2);\n      changeInterval(1);\n    }\n  }, [zoomLevel, changeInterval, handleLoading]);\n\n  // ZOOM OUT\n  const handleZoomOut = useCallback(() => {\n    handleLoading();\n\n    if (zoomLevel === 2) {\n      setZoomLevel(1);\n      changeInterval(3);\n      return;\n    }\n\n    if (zoomLevel === 1) {\n      setZoomLevel(0);\n      changeInterval(5);\n    }\n  }, [changeInterval, zoomLevel, handleLoading]);\n\n  return (\n    <ZoomContext.Provider\n      value={{\n        zoomLevel,\n        handleZoomIn,\n        handleZoomOut,\n        handleLoading,\n        isLoading\n      }}\n    >\n      {children}\n    </ZoomContext.Provider>\n  );\n}\n\nexport const useZoom = () => useContext(ZoomContext);\n","import { useContext, createContext, useRef } from 'react';\nimport { ModalHandles } from '../components/Modal';\n\ninterface CustomRefProps {\n  children: React.ReactNode;\n}\n\ntype CustomRefContextType = {\n  modalRef: React.RefObject<ModalHandles>;\n  containerRef: React.RefObject<HTMLElement>;\n};\n\nconst CustomRefContext = createContext({} as CustomRefContextType);\n\nexport function CustomRefContextProvider({ children }: CustomRefProps) {\n  const modalRef = useRef<ModalHandles>(null);\n  const containerRef = useRef<HTMLElement>(null);\n\n  return (\n    <CustomRefContext.Provider\n      value={{\n        modalRef,\n        containerRef\n      }}\n    >\n      {children}\n    </CustomRefContext.Provider>\n  );\n}\n\nexport const useCustomRef = () => useContext(CustomRefContext);\n","import { useContext, createContext, useState, useCallback } from 'react';\n\ntype OnMouseMoveProps = {\n  currentWidthPosition: number;\n  coveredPercentage: number;\n};\ninterface MouseEventProps {\n  children: React.ReactNode;\n}\n\ntype MouseEventContextType = {\n  mouseEnter: number;\n  onMouseEnter: (value: number) => void;\n  mouseMove: OnMouseMoveProps;\n  onMouseMove: (props: OnMouseMoveProps) => void;\n  handleMouseOver: () => void;\n  isMouseOver: boolean;\n};\n\nconst MouseEventContext = createContext({} as MouseEventContextType);\n\nexport function MouseEventContextProvider({ children }: MouseEventProps) {\n  const [mouseEnter, setMouseEnter] = useState(0);\n  const [mouseMove, setMouseMove] = useState({\n    currentWidthPosition: 0,\n    coveredPercentage: 0\n  });\n\n  const [isMouseOver, setIsMouseOver] = useState(false);\n\n  const handleMouseOver = useCallback(() => {\n    setIsMouseOver(!isMouseOver);\n  }, [isMouseOver, setIsMouseOver]);\n\n  const onMouseEnter = useCallback((value: number) => {\n    setMouseEnter(value);\n  }, []);\n\n  const onMouseMove = useCallback(\n    ({ currentWidthPosition, coveredPercentage }: OnMouseMoveProps) => {\n      setMouseMove({ currentWidthPosition, coveredPercentage });\n    },\n    []\n  );\n\n  return (\n    <MouseEventContext.Provider\n      value={{\n        mouseEnter,\n        mouseMove,\n        onMouseEnter,\n        onMouseMove,\n        handleMouseOver,\n        isMouseOver\n      }}\n    >\n      {children}\n    </MouseEventContext.Provider>\n  );\n}\n\nexport const useMouseEvent = () => useContext(MouseEventContext);\n","var _defs, _g;\n\nvar _excluded = [\"title\", \"titleId\"];\n\nfunction _extends() { _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\n\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\n\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\nimport * as React from \"react\";\n\nfunction SvgBrasil(_ref, svgRef) {\n  var title = _ref.title,\n      titleId = _ref.titleId,\n      props = _objectWithoutProperties(_ref, _excluded);\n\n  return /*#__PURE__*/React.createElement(\"svg\", _extends({\n    xmlns: \"http://www.w3.org/2000/svg\",\n    viewBox: \"0 0 12.54 12.54\",\n    ref: svgRef,\n    \"aria-labelledby\": titleId\n  }, props), title ? /*#__PURE__*/React.createElement(\"title\", {\n    id: titleId\n  }, title) : null, _defs || (_defs = /*#__PURE__*/React.createElement(\"defs\", null, /*#__PURE__*/React.createElement(\"style\", null, \"\\n      .cls-1 {\\n        isolation: isolate !important;\\n      }\\n\\n      .cls-2 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ForwardRef as ReactComponent };","var _defs, _g;\n\nvar _excluded = [\"title\", \"titleId\"];\n\nfunction _extends() { _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\n\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\n\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\nimport * as React from \"react\";\n\nfunction SvgColombia(_ref, svgRef) {\n  var title = _ref.title,\n      titleId = _ref.titleId,\n      props = _objectWithoutProperties(_ref, _excluded);\n\n  return /*#__PURE__*/React.createElement(\"svg\", _extends({\n    xmlns: \"http://www.w3.org/2000/svg\",\n    xmlnsXlink: \"http://www.w3.org/1999/xlink\",\n    viewBox: \"0 0 15.12 12.25\",\n    ref: svgRef,\n    \"aria-labelledby\": titleId\n  }, props), title ? /*#__PURE__*/React.createElement(\"title\", {\n    id: titleId\n  }, title) : null, _defs || (_defs = /*#__PURE__*/React.createElement(\"defs\", null, /*#__PURE__*/React.createElement(\"style\", null, \"\\n      .cls-1 {\\n        fill: none !important;\\n      }\\n\\n      .cls-2 {\\n        fill: #f9d014 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(var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\n\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\n\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\nimport * as React 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'../../../assets/flags/equador.svg';\n\nconst Brasil: React.FC<React.SVGProps<SVGSVGElement>> = ({ ...rest }) => (\n  <BrasilSVG {...rest} />\n);\n\nconst Colombia: React.FC<React.SVGProps<SVGSVGElement>> = ({ ...rest }) => (\n  <ColombiaSVG {...rest} />\n);\n\nconst Peru: React.FC<React.SVGProps<SVGSVGElement>> = ({ ...rest }) => (\n  <PeruSVG {...rest} />\n);\n\nconst Bolivia: React.FC<React.SVGProps<SVGSVGElement>> = ({ ...rest }) => (\n  <BoliviaSVG {...rest} />\n);\n\nconst Equador: React.FC<React.SVGProps<SVGSVGElement>> = ({ ...rest }) => (\n  <EquadorSVG {...rest} />\n);\nexport { Brasil, Colombia, Peru, Equador, Bolivia };\n","var _defs, _g;\n\nvar _excluded = [\"title\", \"titleId\"];\n\nfunction _extends() { _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return 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Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\n\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\n\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\nimport * as React from \"react\";\n\nfunction SvgBuilding(_ref, svgRef) {\n  var title = _ref.title,\n      titleId = _ref.titleId,\n      props = _objectWithoutProperties(_ref, _excluded);\n\n  return /*#__PURE__*/React.createElement(\"svg\", _extends({\n    xmlns: \"http://www.w3.org/2000/svg\",\n    viewBox: \"0 0 18.17 22.82\",\n    ref: svgRef,\n    \"aria-labelledby\": titleId\n  }, props), title ? /*#__PURE__*/React.createElement(\"title\", {\n    id: titleId\n  }, title) : null, _defs || (_defs = /*#__PURE__*/React.createElement(\"defs\", null, /*#__PURE__*/React.createElement(\"style\", null, \"\\n      .buildingClass1 {\\n        isolation: isolate;\\n      }\\n\\n      .buildingClass2 {\\n        fill: rgba(0, 0, 0, 0.33);\\n      }\\n    \"))), _g || (_g = /*#__PURE__*/React.createElement(\"g\", {\n    className: \"buildingClass1\"\n  }, /*#__PURE__*/React.createElement(\"g\", {\n    id: \"Camada_2\",\n    \"data-name\": \"Camada 2\"\n  }, /*#__PURE__*/React.createElement(\"g\", {\n    id: \"BCK\"\n  }, /*#__PURE__*/React.createElement(\"path\", {\n    className: \"buildingClass2\",\n    d: \"M18.17,22.46V15.13H15.3V12H9.85V22.46H9.76V5.55H5.1v-1c1.43,0,2.87-1,4.39-1V.09c-1.52,0-3,1-4.39,1.07V0H4.74l.09,5.55H.18V22.46H0v.36m4.3-3.4H2.69V17.81H4.3Zm0-2.86H2.69V15H4.3Zm3,2.86H5.64V17.81H7.25Zm0-2.86H5.64V15H7.25Zm-2.33-4a2.46,2.46,0,0,1,0-4.92,2.46,2.46,0,1,1,0,4.92ZM11.28,15h1.61v1.61H11.28Zm.8,4.56H11l.54-.89.53-.9.45.9.54.89Zm3.22,0a.9.9,0,0,1,0-1.79.9.9,0,1,1,0,1.79Z\"\n  }))))));\n}\n\nvar ForwardRef = /*#__PURE__*/React.forwardRef(SvgBuilding);\nexport default __webpack_public_path__ + \"static/media/building.06589f79.svg\";\nexport { ForwardRef as ReactComponent };","var _path;\n\nvar _excluded = [\"title\", \"titleId\"];\n\nfunction _extends() { _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\n\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\n\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\nimport * as React from \"react\";\n\nfunction SvgStar(_ref, svgRef) {\n  var title = _ref.title,\n      titleId = _ref.titleId,\n      props = _objectWithoutProperties(_ref, _excluded);\n\n  return /*#__PURE__*/React.createElement(\"svg\", _extends({\n    id: \"Camada_1\",\n    \"data-name\": \"Camada 1\",\n    fill: \"rgba(0, 0, 0, 0.33)\",\n    xmlns: \"http://www.w3.org/2000/svg\",\n    viewBox: \"0 0 80 80\",\n    ref: svgRef,\n    \"aria-labelledby\": titleId\n  }, props), title ? /*#__PURE__*/React.createElement(\"title\", {\n    id: titleId\n  }, title) : null, _path || (_path = /*#__PURE__*/React.createElement(\"path\", {\n    d: \"M77.41,28.36l-24-3.6L42.71,2.36a3,3,0,0,0-5.42,0L26.57,24.76l-24,3.6a3,3,0,0,0-1.73.9,3.19,3.19,0,0,0,.05,4.41L18.27,51.11l-4.1,24.62a3.09,3.09,0,0,0,2.46,3.59A2.92,2.92,0,0,0,18.55,79L40,67.39,61.45,79a2.92,2.92,0,0,0,1.92.31,3.1,3.1,0,0,0,2.46-3.59l-4.1-24.62L79.09,33.67a3.16,3.16,0,0,0-1.68-5.31Z\"\n  })));\n}\n\nvar ForwardRef = /*#__PURE__*/React.forwardRef(SvgStar);\nexport default __webpack_public_path__ + \"static/media/star.3594c768.svg\";\nexport { ForwardRef as ReactComponent };","import { ReactComponent as HammerSVG } from '../../../../assets/icons/marks/hammer.svg';\nimport { ReactComponent as HandsSVG } from '../../../../assets/icons/marks/hands.svg';\nimport { ReactComponent as BuildingSVG } from '../../../../assets/icons/marks/building.svg';\nimport { ReactComponent as StarSVG } from '../../../../assets/icons/marks/star.svg';\n\nconst Hammer: React.FC<React.SVGProps<SVGSVGElement>> = ({ ...rest }) => (\n  <HammerSVG {...rest} />\n);\n\nconst Hands: React.FC<React.SVGProps<SVGSVGElement>> = ({ ...rest }) => (\n  <HandsSVG {...rest} />\n);\n\nconst Building: React.FC<React.SVGProps<SVGSVGElement>> = ({ ...rest }) => (\n  <BuildingSVG {...rest} />\n);\n\nconst Star: React.FC<React.SVGProps<SVGSVGElement>> = ({ ...rest }) => (\n  <StarSVG {...rest} />\n);\n\nexport { Hammer, Hands, Building, Star };\n","import {\n  Brasil as BrasilFlag,\n  Colombia as ColombiaFlag,\n  Peru as PeruFlag,\n  Equador as EquadorFlag,\n  Bolivia as BoliviaFlag\n} from '../components/svg/flags';\nimport { Hammer, Hands, Building, Star } from '../components/svg/icons/marks';\n\ntype Icon = React.FC<React.SVGProps<SVGSVGElement>>;\nexport interface IJsonData {\n  id: string;\n  position: boolean;\n  widthMovimentation: number;\n  date: {\n    day: number | null;\n    month: number;\n    year: number;\n  };\n  color: string;\n  qualification: string;\n  country: string;\n  flag: Icon;\n  dimensions: string[] | [];\n  category: {\n    name: string | null;\n    icon: Icon;\n    subcategories: string[] | [];\n  };\n  legalFramework: {\n    legalInstrument: string;\n    title: number;\n    descriptive: string;\n    synthesis: string | null;\n  };\n  downloadFile: string | null;\n}\n\nexport default [\n  {\n    id: '1645f75d-3af9-4049-93f3-412d889bcbde',\n    position: true,\n    widthMovimentation: 19,\n    date: {\n      day: 2,\n      month: 2,\n      year: 1967\n    },\n    color: '#006633',\n    qualification: 'baseline',\n    country: 'Bolívia',\n    flag: BoliviaFlag,\n    dimensions: [\n      'Agrotóxico',\n      'Água',\n      'Deslocamento Forçado',\n      'Espaços Protegidos',\n      'Floresta',\n      'Licenciamento',\n      'Patrimônio Cultural',\n      'Povos Indígenas e Comunidades Tradicionais',\n      'Uso da Terra'\n    ],\n    category: {\n      name: null,\n      icon: Star,\n      subcategories: []\n    },\n    legalFramework: {\n      legalInstrument: 'Constituição Política',\n      title: 'Constituição Política',\n      synthesis: null\n    },\n    downloadFile: 'BL_1967_Constituicao'\n  },\n  {\n    id: '4703594c-1308-4895-aa0b-5abd95821907',\n    position: false,\n    widthMovimentation: 1,\n    date: {\n      day: 5,\n      month: 10,\n      year: 1988\n    },\n    color: '#96CE3E',\n    qualification: 'baseline',\n    country: 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position: false,\n    widthMovimentation: 10,\n    date: {\n      day: 1,\n      month: 8,\n      year: 1998\n    },\n    color: '#FFCB05',\n    qualification: 'baseline',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: [\n      'Agrotóxico',\n      'Água',\n      'Deslocamento Forçado',\n      'Espaços Protegidos',\n      'Floresta',\n      'Licenciamento',\n      'Patrimônio Cultural',\n      'Povos Indígenas e Comunidades Tradicionais',\n      'Uso da Terra'\n    ],\n    category: {\n      name: null,\n      icon: Star,\n      subcategories: []\n    },\n    legalFramework: {\n      legalInstrument: 'Constituição',\n      title: 'Constituição da República do Equador',\n      synthesis: null\n    },\n    downloadFile: null\n  },\n  {\n    id: 'cc90bd37-bd47-48f1-a493-3910fe1f9422',\n    position: true,\n    widthMovimentation: 23,\n    date: {\n      day: 20,\n      month: 10,\n      year: 2008\n    },\n    color: '#FFCB05',\n    qualification: 'baseline',\n    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A Bolívia se Funda na Pluralidade e no Pluralismo Político, Econômico, Jurídico, Cultural e Linguístico, Dentro do Processo de Integração do País.',\n      synthesis: null\n    },\n    downloadFile: null\n  },\n  {\n    id: 'f88b1106-9962-4118-90e2-33194267ee40',\n    position: true,\n    widthMovimentation: 18,\n    date: {\n      day: 30,\n      month: 12,\n      year: 1993\n    },\n    color: '#F04E30',\n    qualification: 'baseline',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: [\n      'Agrotóxico',\n      'Água',\n      'Deslocamento Forçado',\n      'Espaços Protegidos',\n      'Floresta',\n      'Licenciamento',\n      'Patrimônio Cultural',\n      'Povos Indígenas e Comunidades Tradicionais',\n      'Uso da Terra'\n    ],\n    category: {\n      name: null,\n      icon: Star,\n      subcategories: []\n    },\n    legalFramework: {\n      legalInstrument: 'Constituição',\n      descriptive:\n        'Reconhece às Comunidades Campesinas e Nativas a Autonomia em sua Organização, Trabalho Coletivo e ao Uso de seus Territórios, bem como Atribui ao Estado o Dever de Respeitar a Identidade Cultural dos Povos. 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Para tanto, conta com instrumentos como a Avaliação de Impactos Ambientais, Licenciamento Ambiental, a criação de espaços territoriais especialmente protegidos, o estabelecimento de padrões de qualidade ambiental, zoneamento ambiental e outros. O SISNAMA é composto por órgãos e entidades da União, Estados, do Distrito Federal, territórios, Municípios e fundações responsáveis pela proteção e melhoria da qualidade ambiental. O CONAMA é órgão colegiado consultivo e deliberativo do Sistema Nacional do Meio Ambiente-SISNAMA, composto por órgãos federais, estaduais e municipais, setores empresariais e sociedade civil.'\n    },\n    downloadFile: 'BR_1981_Lei6938'\n  },\n  {\n    id: '6dd4d38c-be7d-408e-9b7d-07c8334b88a8',\n    position: false,\n    widthMovimentation: 13,\n    date: {\n      day: 31,\n      month: 8,\n      year: 1981\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Água', 'Floresta', 'Licenciamento'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Sistema']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: '6.938/81',\n      descriptive:\n        'Cria a Política Nacional do Meio Ambiente, Sistema Nacional do Meio Ambiental (SISNAMA) e Conselho Nacional do Meio Ambiente (CONAMA).',\n      synthesis: null\n    },\n    downloadFile: 'BR_1981_Lei6938'\n  },\n  {\n    id: '43070f81-e120-4771-b54f-5c1b7cd01c55',\n    position: true,\n    widthMovimentation: 10,\n    date: {\n      day: 23,\n      month: 1,\n      year: 1986\n    },\n    color: '#96CE3E',\n    qualification: 'baseline',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Licenciamento'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Estudo de Impacto Ambiental']\n    },\n    legalFramework: {\n      legalInstrument: 'Resolução CONAMA',\n      title: 1,\n      descriptive:\n        'Dispõe Sobre Critérios Básicos e Diretrizes Gerais Para a Avaliação de Impacto Ambiental.',\n      synthesis:\n        'A Resolução 01/1986 do Conselho Nacional do Meio Ambiente - CONAMA estabelece os critérios básicos e diretrizes gerais para uso e implementação da Avaliação de Impacto Ambiental (AIA) como um dos instrumentos da Política Nacional do Meio Ambiente. O Estudo de Impacto Ambiental (EIA) e o Relatório de Impacto Ambiental (RIMA) são instrumentos da Avaliação de Impacto Ambiental realizados no âmbito do licenciamento ambiental de obras ou atividades causadoras de significativa degradação ambiental. O EIA/RIMA são instrumentos técnicos que tem como objetivo avaliar previamente os impactos socioambientais das atividades e empreendimentos utilizadores de recursos naturais, informando o poder público na tomada de decisão no procedimento de licenciamento ambiental, para preveni-los, corrigi-los, mitigá-los e/ou compensá-los. A Resolução determina que o EIA conterá o diagnóstico da área de influência do projeto, considerando seus aspectos físicos, biológicos, ecossistêmicos e socioeconômicos, a análise dos impactos ambientais e suas alternativas, a definição das medidas mitigadoras dos impactos negativos e a elaboração de programa de acompanhamento dos impactos.'\n    },\n    downloadFile: 'BR_1986_ResolucaoCONAMA01'\n  },\n  {\n    id: '1cf76706-ddf2-4bb6-9272-2c2e18bd546d',\n    position: false,\n    widthMovimentation: -4,\n    date: {\n      day: 3,\n      month: 12,\n      year: 1987\n    },\n    color: '#96CE3E',\n    qualification: 'baseline',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Licenciamento'],\n    category: {\n      name: 'Participação',\n      icon: Hands,\n      subcategories: ['Audiência Pública']\n    },\n    legalFramework: {\n      legalInstrument: 'Resolução CONAMA',\n      title: 9,\n      descriptive:\n        'Dispõe Sobre a Realização de Audiências Públicas no Processo de Licenciamento Ambiental. 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A audiência tem como objetivo tornar público os impactos socioambientais da atividade, previamente avaliados e descritos no Estudo de Impacto Ambiental e no Relatório de Impacto Ambiental (EIA/RIMA), e, simultaneamente, garantir a participação da sociedade civil e das populações impactadas no processo de licenciamento, assegurando espaços de discussão com a sociedade, dirimindo dúvidas e recolhendo críticas e sugestões a respeito do projeto.'\n    },\n    downloadFile: 'BR_1987_ResolucaoCONAMA09'\n  },\n  {\n    id: 'a5139f82-ba57-4850-b21b-653178e7d023',\n    position: true,\n    widthMovimentation: 22,\n    date: {\n      day: 22,\n      month: 2,\n      year: 1989\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Floresta', 'Licenciamento'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Autoridade Responsável pela Política Pública']\n    },\n    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 month: 1,\n      year: 1997\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Água'],\n    category: {\n      name: 'Participação',\n      icon: Hands,\n      subcategories: ['Conselho']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: '9433/97',\n      descriptive:\n        'Institui a Política Nacional de Recursos Hídricos, o Conselho Nacional de Recursos Hídricos e o Sistema Nacional de Gerenciamento de Recursos Hídricos.',\n      synthesis: null\n    },\n    downloadFile: 'BR_1987_Lei9433'\n  },\n  {\n    id: '73232581-bc17-4055-9246-71824d9b18ef',\n    position: false,\n    widthMovimentation: 18,\n    date: {\n      day: 8,\n      month: 1,\n      year: 1997\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Água'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Sistema']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: '9433/97',\n      descriptive:\n        'Institui a Política Nacional de Recursos Hídricos, o Conselho Nacional de Recursos Hídricos e o Sistema Nacional de Gerenciamento de Recursos Hídricos.',\n      synthesis: null\n    },\n    downloadFile: 'BR_1987_Lei9433'\n  },\n  {\n    id: '2422817e-5aaa-4487-ab84-d93e43642acd',\n    position: true,\n    widthMovimentation: 5,\n    date: {\n      day: 19,\n      month: 12,\n      year: 1997\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Licenciamento'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Procedimentos para Licenciamento Ambiental']\n    },\n    legalFramework: {\n      legalInstrument: 'Resolução CONAMA',\n      title: 237,\n      descriptive:\n        'Dispõe sobre a Revisão e Complementação dos Procedimentos e Critérios Utilizados para o Licenciamento Ambiental.',\n      synthesis:\n        'Dispõe sobre a revisão e complementação dos procedimentos e critérios utilizados para o Licenciamento Ambiental. Estabelece os empreendimentos e atividades passíveis de licenciamento ambiental. Define os instrumentos de licenciamento ambiental, quais sejam a Licença Prévia, Licença de Instalação e Licença de Operação. Ainda, define as etapas do procedimento de licenciamento ambiental: I - definição pelo órgão ambiental competente, com a participação do empreendedor, dos documentos, projetos e estudos ambientais, necessários ao início do processo de licenciamento correspondente à licença a ser requerida; II - requerimento da licença ambiental pelo empreendedor, acompanhado dos documentos, projetos e estudos ambientais pertinentes, dando-se a devida publicidade; III - análise pelo órgão ambiental competente, integrante do SISNAMA, dos documentos, projetos e estudos ambientais apresentados e a realização de vistorias técnicas, quando necessárias; IV - solicitação de esclarecimentos e complementações pelo órgão ambiental competente, integrante do SISNAMA, uma única vez, em decorrência da análise dos documentos, projetos e estudos ambientais apresentados, quando couber, podendo haver a reiteração da mesma solicitação caso os esclarecimentos e complementações não tenham sido satisfatórios; V - audiência pública, quando couber, de acordo com a regulamentação pertinente; VI - solicitação de esclarecimentos e complementações pelo órgão ambiental competente, decorrente de audiências públicas, quando couber, podendo haver reiteração da solicitação quando os esclarecimentos e complementações não tenham sido satisfatórios; VII - emissão de parecer técnico conclusivo e, quando couber, parecer jurídico; VIII - deferimento ou indeferimento do pedido de licença, dando-se a devida publicidade.'\n    },\n    downloadFile: 'BR_1997_ResolucaoCONAMA237'\n  },\n  {\n    id: '2ca83563-9e48-4809-9288-b2a8c3c3ae79',\n    position: false,\n    widthMovimentation: -3,\n    date: {\n      day: 4,\n      month: 2,\n      year: 1998\n    },\n    color: '#96CE3E',\n    qualification: 'negative',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Uso da Terra'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei Complementar',\n      title: '93/98',\n      descriptive:\n        'Institui o Fundo de Terras e da Reforma Agrária - Banco da Terra.',\n      synthesis: null\n    },\n    downloadFile: 'BR_1998_LeiComplementar93'\n  },\n  {\n    id: '3a1f26cb-9016-44bb-85f3-e0ee9ff59f8d',\n    position: true,\n    widthMovimentation: 17,\n    date: {\n      day: 12,\n      month: 2,\n      year: 1998\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Floresta', 'Licenciamento', 'Água'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção', 'Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: '9.605/98',\n      descriptive:\n        'Dispõe Sobre as Sanções Penais e Administrativas Derivadas de Condutas e Atividades Lesivas ao Meio Ambiente.',\n      synthesis:\n        'A Lei de crimes ambientais estabelece os crimes ambientais passíveis de pena, a forma de aplicação da pena, a ação e o processo penal aos quais as pessoas físicas ou jurídicas serão submetidas caso pratiquem os crimes. A Lei estabelece uma série de crimes contra o meio ambiente, organizados nos seguintes eixos: 1. contra a fauna; 2. contra a flora; 3. poluição; 4. contra o ordenamento urbano e o patrimônio cultural; e 5. contra a administração ambiental. Ainda, estabelece mecanismos de cooperação internacional para a preservação do meio ambiente no que diz respeito à produção de provas, exame de objetos e lugares, informações sobre pessoas e coisas e outras formas de assistência quando se tratar de crimes contra o meio ambiente.'\n    },\n    downloadFile: 'BR_1998_Lei9605'\n  },\n  {\n    id: 'aa48654c-a350-425c-bb39-e560ce4d9b6b',\n    position: false,\n    widthMovimentation: 9,\n    date: {\n      day: 4,\n      month: 11,\n      year: 1999\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Uso da Terra', 'Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção', 'Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Portaria',\n      title: 477,\n      descriptive:\n        'Cria a Modalidade Projeto de Desenvolvimento Sustentável (PDS).',\n      synthesis: null\n    },\n    downloadFile: 'BR_1999_Portaria447'\n  },\n  {\n    id: '4b89e93b-5fb3-44a5-85e8-0fd0302787a7',\n    position: true,\n    widthMovimentation: -20,\n    date: {\n      day: 18,\n      month: 7,\n      year: 2000\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Espaços Protegidos'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Sistema']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: '9.985/00',\n      descriptive: 'Sistema Nacional de Unidades de Conservação  (SNUC).',\n      synthesis:\n        'Cria o Sistema Nacional de Unidade de Conservação (SNUC) e estabelece critérios e normas para a criação, implantação e gestão das Unidades de Conservação (UCs). O SNUC é constituído pelo conjunto das UCs federais, estaduais e municipais, cujos objetivos principais são proteger os recursos naturais necessários à subsistência de populações tradicionais, respeitando e valorizando seu conhecimento e sua cultura; contribuir para a manutenção da diversidade biológica e dos recursos genéticos; proteger as espécies ameaçadas de extinção; preservar e a restaurar a diversidade de ecossistemas naturais; proteger e recuperar recursos hídricos; promover a educação ambiental; e outros. As UCs integrantes do SNUC dividem-se em dois grupos, quais sejam as de Proteção Integral e Uso Sustentável. As Unidades de Proteção Integral tem como objetivo preservar a natureza, sendo admitido apenas o uso indireto dos seus recursos naturais, constituem este grupo de UCs a Estação Ecológica, Reserva Biológica, Parque Nacional, Monumento Natural e Refúgio de Vida Silvestre. As Unidades de Uso Sustentável tem com objetivo compatibilizar a conservação da natureza com o uso sustentável dos recursos naturais, este grupo de UCs é composto pelas Área de Proteção Ambiental, Área de Relevante Interesse Ecológico, Floresta Nacional, Reserva Extrativista, Reserva de Fauna, Reserva de Desenvolvimento Sustentável e Reserva Particular do Patrimônio Natural.\\r\\nNos casos de licenciamento ambiental de empreendimentos de significativo impacto ambiental, assim considerado pelo órgão ambiental competente, com fundamento em estudo de impacto ambiental e respectivo relatório - EIA/RIMA, o empreendedor é obrigado a apoiar a implantação e manutenção de unidade de conservação do Grupo de Proteção Integral à título de compensação ambiental.'\n    },\n    downloadFile: 'BR_2000_Lei9.985'\n  },\n  {\n    id: 'a9ba08ec-7859-4632-8438-6da636f865de',\n    position: false,\n    widthMovimentation: -19,\n    date: {\n      day: 18,\n      month: 7,\n      year: 2000\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: [\n      'Povos Indígenas e Comunidades Tradicionais',\n      'Uso da Terra',\n      'Licenciamento',\n      'Espaços Protegidos'\n    ],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção', 'Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: '9.985/00',\n      descriptive: 'Sistema Nacional de Unidades de Conservação  (SNUC).',\n      synthesis:\n        'Cria o Sistema Nacional de Unidade de Conservação (SNUC) e estabelece critérios e normas para a criação, implantação e gestão das Unidades de Conservação (UCs). O SNUC é constituído pelo conjunto das UCs federais, estaduais e municipais, cujos objetivos principais são proteger os recursos naturais necessários à subsistência de populações tradicionais, respeitando e valorizando seu conhecimento e sua cultura; contribuir para a manutenção da diversidade biológica e dos recursos genéticos; proteger as espécies ameaçadas de extinção; preservar e a restaurar a diversidade de ecossistemas naturais; proteger e recuperar recursos hídricos; promover a educação ambiental; e outros. As UCs integrantes do SNUC dividem-se em dois grupos, quais sejam as de Proteção Integral e Uso Sustentável. As Unidades de Proteção Integral tem como objetivo preservar a natureza, sendo admitido apenas o uso indireto dos seus recursos naturais, constituem este grupo de UCs a Estação Ecológica, Reserva Biológica, Parque Nacional, Monumento Natural e Refúgio de Vida Silvestre. As Unidades de Uso Sustentável tem com objetivo compatibilizar a conservação da natureza com o uso sustentável dos recursos naturais, este grupo de UCs é composto pelas Área de Proteção Ambiental, Área de Relevante Interesse Ecológico, Floresta Nacional, Reserva Extrativista, Reserva de Fauna, Reserva de Desenvolvimento Sustentável e Reserva Particular do Patrimônio Natural.\\r\\nNos casos de licenciamento ambiental de empreendimentos de significativo impacto ambiental, assim considerado pelo órgão ambiental competente, com fundamento em estudo de impacto ambiental e respectivo relatório - EIA/RIMA, o empreendedor é obrigado a apoiar a implantação e manutenção de unidade de conservação do Grupo de Proteção Integral à título de compensação ambiental.'\n    },\n    downloadFile: 'BR_2000_Lei9.985'\n  },\n  {\n    id: '028a303b-dcca-4a67-aeff-683365936571',\n    position: true,\n    widthMovimentation: -9,\n    date: {\n      day: 17,\n      month: 7,\n      year: 2000\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Água'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Autoridade Responsável pela Política Pública']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: '9.984/00',\n      descriptive: 'Cria a Agência Nacional de Águas - ANA.',\n      synthesis: null\n    },\n    downloadFile: 'BR_2000_Lei9984'\n  },\n  {\n    id: '9ab38717-2a01-4546-b165-bc99e3605c41',\n    position: false,\n    widthMovimentation: 2,\n    date: {\n      day: 27,\n      month: 12,\n      year: 2000\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Licenciamento'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção', 'Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: '10.165/00',\n      descriptive: 'Altera a Política Nacional do Meio Ambiente.',\n      synthesis: null\n    },\n    downloadFile: 'BR_2000_Lei10165'\n  },\n  {\n    id: 'ce8c70ad-df9c-4e44-abd0-3cf71a961137',\n    position: true,\n    widthMovimentation: 0,\n    date: {\n      day: 10,\n      month: 9,\n      year: 2001\n    },\n    color: '#96CE3E',\n    qualification: 'negative',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais', 'Uso da Terra'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção', 'Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: '3.912/01',\n      descriptive:\n        'Regulamenta o Procedimento de Titulação de Território Quilombola.',\n      synthesis: null\n    },\n    downloadFile: 'BR_2001_Decreto3912'\n  },\n  {\n    id: '1ec6bfc0-eba5-483b-b3bc-eb13c6d23919',\n    position: false,\n    widthMovimentation: -6,\n    date: {\n      day: 4,\n      month: 1,\n      year: 2002\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Agrotóxico'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção', 'Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: '4.074/02',\n      descriptive: 'Regulamenta a Lei dos Agrotóxicos.',\n      synthesis: null\n    },\n    downloadFile: 'BR_2002_Decreto4074'\n  },\n  {\n    id: 'de53aa59-e7ad-47d3-93db-f9e228cbd174',\n    position: true,\n    widthMovimentation: 10,\n    date: {\n      day: 6,\n      month: 7,\n      year: 2003\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Uso da Terra'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n    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date: {\n      day: 19,\n      month: 4,\n      year: 2004\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: [\n      'Povos Indígenas e Comunidades Tradicionais',\n      'Licenciamento',\n      'Deslocamento Forçado',\n      'Patrimônio Cultural'\n    ],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção', 'Convenção 169/OIT']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: '5.051/04',\n      descriptive:\n        'Promulga a Convenção 169 da Organização Internacional do Trabalho (OIT).',\n      synthesis:\n        'Promulga a Convenção nº 169 da Organização Internacional do Trabalho - OIT sobre Povos Indígenas e Tribais. A Convenção, aplicada à realidade sociocultural brasileira, garante aos povos indígenas, quilombolas e demais povos e comunidades tradicionais a plena efetividade dos direitos sociais, econômicos e culturais, respeitando a sua identidade social e cultural, os seus costumes e tradições, e as suas instituições. A Convenção afirma a especial relação dos povos com suas terras e territórios tradicionais, certificando a obrigação do Estado de reconhecer os direitos de posse e propriedade coletivos sobre elas. Aos povos é garantido o direito de ser consultados, de forma prévia, livre e informada, mediante procedimentos apropriados, através de suas instituições representativas, cada vez que sejam previstas medidas legislativas ou administrativas suscetíveis de afetá-los diretamente. É vedado o deslocamento forçado dos povos de seus territórios tradicionais, em casos excepcionais, o deslocamento e o reassentamento só podem ser efetivados mediante livre consentimento dos povos. A Convenção também dispõe sobre direito à saúde, seguridade social, educação, meios de comunicação, condições de emprego e contratação, indústrias rurais, contatos e cooperação entre povos indígenas, quilombolas e tradicionais através das fronteiras e outros.'\n    },\n    downloadFile: 'BR_2004_Decreto5051'\n  },\n  {\n    id: '2a0b0b12-e4b1-4a6f-add7-dbafb71bdd0a',\n    position: true,\n    widthMovimentation: -9,\n    date: {\n      day: 27,\n      month: 12,\n      year: 2004\n    },\n    color: '#96CE3E',\n    qualification: 'positive',\n    country: 'Brasil',\n    flag: BrasilFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Comissões']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: 's/n/04',\n      descriptive:\n        'Cria a Comissão Nacional de Desenvolvimento Sustentável das Comunidades Tradicionais.',\n      synthesis: null\n    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Isto é, define a repartição de competências administrativas entre os entes federativos relativas à proteção do meio ambiente, dentre elas, a competência para realização do licenciamento ambiental. 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Norma emitida durante a pandemia, como suposta mitigação dos efeitos à economia camponesa, mas isso não foi real, pois foi possível demonstrar que essas ajudas foram concedidas a grandes empresários.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'bc918c2b-a5ea-4dca-b084-14e29661adc1',\n    position: true,\n    widthMovimentation: -8,\n    date: {\n      day: 2,\n      month: 12,\n      year: 2020\n    },\n    color: '#374EA2',\n    qualification: 'positive',\n    country: 'Colômbia',\n    flag: ColombiaFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais', 'Licenciamento'],\n    category: {\n      name: 'Participação',\n      icon: Hands,\n      subcategories: ['Consulta Prévia, Livre e Informada']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: 1585,\n      descriptive:\n        'Diagnóstico Ambiental de Alternativas e Licenciamento Ambiental.',\n      synthesis:\n        'Insta as instituições ambientais responsáveis ​​pela concessão da licença ambiental, a garantirem a participação mediante consulta prévia, se necessário. Igualmente, atribuir ao interessado o pedido de protocolização da consulta prévia ou a certificação de não necessidade deste mecanismo pela Direcção da Autoridade Nacional de Consulta Prévia - DANCP. Esta norma estabelece uma data limite para a apresentação do pedido para licença ambiental, a partir da aprovação do Diagnóstico Ambiental de Alternativas (DAA), as normas anteriores não tinham prazo e no processo de revisão do Estudo de Impacto Ambiental se o órgão ambiental responsável considerar que deve ser esclarecido se a consulta prévia deve ou não ser realizada, esta norma estabelece um prazo máximo para tal e caso o pedido não seja atendido, será arquivado.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '9d1e11e3-2b4c-4d2c-aed2-142c6b815e49',\n    position: false,\n    widthMovimentation: -21,\n    date: {\n      day: 31,\n      month: 12,\n      year: 2020\n    },\n    color: '#374EA2',\n    qualification: 'negative',\n    country: 'Colômbia',\n    flag: ColombiaFlag,\n    dimensions: ['Uso da Terra'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: 2068,\n      descriptive:\n        'Conservação, Proteção e Aproveitamento dos Destinos e Atrativos Turísticos.',\n      synthesis:\n        'Esta norma foi emitida pelo Ministério da Indústria e Comércio, endossada por ter efeitos de longo prazo sobre o turismo, portanto, não se destina realmente à sustentabilidade ambiental, mas sim à reativação econômica no curto e médio prazo, bem como uma mudança no tributação que beneficia os empresários.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '61d8ef61-8dd5-41d6-a28c-4dff825823e2',\n    position: true,\n    widthMovimentation: 24,\n    date: {\n      day: 12,\n      month: 4,\n      year: 2021\n    },\n    color: '#374EA2',\n    qualification: 'negative',\n    country: 'Colômbia',\n    flag: ColombiaFlag,\n    dimensions: ['Agrotóxico'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Sistema']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: 380,\n      descriptive: 'Reativação de Pulverizações Aéreas com Glifosato.',\n      synthesis:\n        'Regula o controle de riscos à saúde e ao meio ambiente dentro da estrutura\\r\\nda erradicação de plantações ilícitas pelo método de pulverização aérea.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '3b91abe5-b30f-4864-ad7d-a35361516b6a',\n    position: false,\n    widthMovimentation: 13,\n    date: {\n      day: 24,\n      month: 6,\n      year: 2021\n    },\n    color: '#374EA2',\n    qualification: 'negative',\n    country: 'Colômbia',\n    flag: ColombiaFlag,\n    dimensions: ['Licenciamento'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Mecanismos de Implementação', 'Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: 690,\n      descriptive:\n        'Manejo Sustentável da Flora Silvestre e dos Produtos Florestais Não Madeireiros.',\n      synthesis:\n        'Flexibiliza a exploração da flora e das florestas. Pretende que através de licenças ambientais possam ser exploradas espécies não madeireiras e outras que se encontram nos territórios, apresentando-se como uma alternativa ao desmatamento, mas é mesmo uma estratégia para exploração dessas espécies em pequena, média e grande escala.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '6c7cdcac-62c2-4a05-9c54-cdd2ff24ea3b',\n    position: true,\n    widthMovimentation: -1,\n    date: {\n      day: 29,\n      month: 7,\n      year: 2021\n    },\n    color: '#374EA2',\n    qualification: 'positive',\n    country: 'Colômbia',\n    flag: ColombiaFlag,\n    dimensions: ['Água', 'Floresta', 'Espaços Protegidos'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Mecanismos de Implementação', 'Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: 2111,\n      descriptive: 'Crimes Contra Recursos Naturais e Meio Ambiente.',\n      synthesis:\n        \"Revoga o Título XI, 'Dos crimes contra os recursos naturais e o meio ambiente' Capítulo Único, Crimes contra os recursos naturais e o meio ambiente, artigos 328 a 339, do Livro 11, parte especial dos crimes em geral da Lei 599 de 2000 e todas as disposições contrárias a ele, conseguindo assim transformar o Código Penal e o Código de Processo Penal especificamente em matéria de crimes ambientais, esta norma ampliou as sanções, criou novos tipos penais e/ou modificou os existentes. 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Procura promover a participação dos aquicultores e pescadores, nas decisões que o Estado tomar, através de um Conselho Consultivo. 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A fusão institucional  processo de austeridade do Estado reduz a capacidade institucional técnica e operacional no quadro das suas competências de regularização e controlo ambiental e hídrico'\n    },\n    downloadFile: null\n  },\n  {\n    id: '9579df57-22f7-41df-8f45-d805267f79ae',\n    position: true,\n    widthMovimentation: 1,\n    date: {\n      day: 1,\n      month: 4,\n      year: 2020\n    },\n    color: '#FFCB05',\n    qualification: 'negative',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais', 'Licenciamento'],\n    category: {\n      name: 'Participação',\n      icon: Hands,\n      subcategories: ['Consulta Prévia, Livre e Informada']\n    },\n    legalFramework: {\n      legalInstrument: 'Acordo Ministerial',\n      title: 100,\n      descriptive:\n        'Regulação Ambiental das Operações do Setor de Hidrocarbonetos.',\n      synthesis:\n        'Não são estabelecidas diretrizes específicas para a execução dos processos de Consulta Prévia, Livre e Informada no setor dos hidrocarbonetos e aplicação do Decreto Executivo 1247.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '86b560b2-c8fc-4f3e-93cd-a7351e76a186',\n    position: false,\n    widthMovimentation: 1,\n    date: {\n      day: 23,\n      month: 4,\n      year: 2020\n    },\n    color: '#FFCB05',\n    qualification: 'baseline',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Uso da Terra'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: 1293,\n      descriptive:\n        'Política de Estado para o Setor Agropecuário Equatoriano 2020-2030.',\n      synthesis:\n        'Criação de instituições com o objetivo de fortalecer políticas, planos, programas e projetos que tendam a posicionar os povos, nacionalidades e culturas do Equador, em busca da construção do Estado plurinacional e intercultural; promover o resgate e promoção de línguas e saberes ancestrais; fortalecer os processos organizacionais, de liderança e de intercâmbio de conhecimento entre os povos e nacionalidades do Equador; buscar obter ou destinar recursos para a execução de projetos comunitários de relevância cultural, entre outros. A direção desta nova pasta do Estado não contempla a participação de organizações legitimamente reconhecidas pelos povos e nacionalidades, também foi criada sem um processo de consulta e anuência prévia.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'aba7edf3-1ef8-48bf-8fb9-e96a4b45d27a',\n    position: true,\n    widthMovimentation: -6,\n    date: {\n      day: null,\n      month: 4,\n      year: 2020\n    },\n    color: '#FFCB05',\n    qualification: 'positive',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Uso da Terra'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: 301,\n      descriptive:\n        'Ordenamento Territorial, Planejamento de Uso e Gestão do Solo e Desenvolvimento Urbano',\n      synthesis: null\n    },\n    downloadFile: null\n  },\n  {\n    id: '437058a7-7f48-4703-8d7b-d28e00767c73',\n    position: false,\n    widthMovimentation: 17,\n    date: {\n      day: 6,\n      month: 5,\n      year: 2020\n    },\n    color: '#FFCB05',\n    qualification: 'negative',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Água', 'Floresta', 'Espaços Protegidos'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Autoridade Responsável pela Política Pública']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: 1036,\n      descriptive:\n        'Fusão da Agência de Regulação e Controle Minerário, Agência de Regulação e Controle de Hidrocarbonetos na Agência de Regulação e Controle de Energia e Recursos Naturais Não Renováveis.',\n      synthesis:\n        'As competências e atribuições do Órgão de Regulação e Controle de Mineração,  de Energia Elétrica e  de Hidrocarbonetos, foram assumidos pelo Órgão de Regulação e Controle de Energia e Recursos Naturais Não Renováveis. Otimização institucional que responde às prioridades governamentais  no âmbito de suas competências de controle ambiental no território nacional.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'ba4b3d51-7c49-46a3-a2b1-a1c666da1f0b',\n    position: true,\n    widthMovimentation: 18,\n    date: {\n      day: 12,\n      month: 8,\n      year: 2020\n    },\n    color: '#FFCB05',\n    qualification: 'positive',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Espaços Protegidos'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Acordo Ministerial',\n      title: 'MAAE-2020-10',\n      descriptive:\n        'Estabelece Metodologias Para o Zoneamento de Áreas Protegidas.',\n      synthesis:\n        'A metodologia de zoneamento de áreas protegidas no Equador é um instrumento de zoneamento das áreas do Sistema Nacional de Unidades de Conservação para seu ordenamento, planejamento e gestão, que permite garantir áreas de conservação e promover o uso sustentável dos recursos em áreas específicas. Este instrumento permitirá atualizar as categorias de atividades permitidas nas áreas protegidas do Equador.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '0a24dbb3-08f1-4917-a9ab-42eb94b74c50',\n    position: false,\n    widthMovimentation: -2,\n    date: {\n      day: 12,\n      month: 3,\n      year: 2021\n    },\n    color: '#FFCB05',\n    qualification: 'positive',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: [\n      'Povos Indígenas e Comunidades Tradicionais',\n      'Uso da Terra',\n      'Licenciamento'\n    ],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: 1264,\n      descriptive:\n        'Planejamento Integral da Circunscrição Territorial Especial da Amazônia.',\n      synthesis:\n        'Estabelece as atribuições do Conselho de Planejamento e Desenvolvimento da Circunscrição Territorial Especial da Amazônia e da Secretaria Técnica; e do Plano Integral da Amazônia. Diretrizes para o planejamento e uso sustentável do Fundo de Desenvolvimento Sustentável da Amazônia e do Fundo Comum da Circunscrição Territorial Especial Amazônica.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'bc387542-0180-4688-93fe-18f47076030b',\n    position: true,\n    widthMovimentation: 8,\n    date: {\n      day: 29,\n      month: 3,\n      year: 2021\n    },\n    color: '#FFCB05',\n    qualification: 'positive',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Uso da Terra'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Acordo Ministerial',\n      title: 106,\n      descriptive: 'Estratégia Nacional Agropecuária para Mulheres Rurais.',\n      synthesis:\n        \"Cria a Estratégia Nacional Agropecuária para Mulheres Rurais (ENAMR), como um instrumento de política pública setorial de intervenção com enfoque em gênero, com o objetivo de empulsionar e fortalecer os modelos agropecuários sustentáveis, inovadores e competitivos diferenciados para as mulheres rurais; impulsionar a igualdade de gênero e a participação das mulheres rurais na gestão organizativa/associativa, controle social e transparência das instituições públicas e privadas que atuam no setor rural. Cria a 'Mesa Técnica Interinstitucional para Mulheres Rurais', como órgão de diálogo, cultura e acompanhamento técnico para a implementação, contituidade e avaliação da política agropecuária estabelecida na Estratégia Nacional Agropecuária para Mulheres Rurais (ENAMR). A Mesa é um órgãos de diálogo, consulta, assessoria e acompanhamento técnico e metodológico entre o Ministério da Agricultura e Pecuária, as agencias de cooperação internacional, a academia e instituições públicas e privadas para a implementação, continuidade e avaliação da Estratégia Nacional Agropecuária para Mulheres Rurais. \"\n    },\n    downloadFile: null\n  },\n  {\n    id: '619fcf14-a5c5-405d-b96f-291f8acc8542',\n    position: false,\n    widthMovimentation: -23,\n    date: {\n      day: 29,\n      month: 3,\n      year: 2021\n    },\n    color: '#FFCB05',\n    qualification: 'positive',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Uso da Terra'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Comissões']\n    },\n    legalFramework: {\n      legalInstrument: 'Acordo Ministerial',\n      title: 106,\n      descriptive: 'Estratégia Nacional Agropecuária para Mulheres Rurais.',\n      synthesis:\n        \"Cria a Estratégia Nacional Agropecuária para Mulheres Rurais (ENAMR), como um instrumento de política pública setorial de intervenção com enfoque em gênero, com o objetivo de empulsionar e fortalecer os modelos agropecuários sustentáveis, inovadores e competitivos diferenciados para as mulheres rurais; impulsionar a igualdade de gênero e a participação das mulheres rurais na gestão organizativa/associativa, controle social e transparência das instituições públicas e privadas que atuam no setor rural. Cria a 'Mesa Técnica Interinstitucional para Mulheres Rurais', como órgão de diálogo, cultura e acompanhamento técnico para a implementação, contituidade e avaliação da política agropecuária estabelecida na Estratégia Nacional Agropecuária para Mulheres Rurais (ENAMR). A Mesa é um órgãos de diálogo, consulta, assessoria e acompanhamento técnico e metodológico entre o Ministério da Agricultura e Pecuária, as agencias de cooperação internacional, a academia e instituições públicas e privadas para a implementação, continuidade e avaliação da Estratégia Nacional Agropecuária para Mulheres Rurais. \"\n    },\n    downloadFile: null\n  },\n  {\n    id: '5cb608ba-3130-4624-9aae-e1fe8656a064',\n    position: true,\n    widthMovimentation: 4,\n    date: {\n      day: 26,\n      month: 5,\n      year: 2021\n    },\n    color: '#FFCB05',\n    qualification: 'negative',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Autoridade Responsável pela Política Pública']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: 29,\n      descriptive:\n        'Secretaria de Gestão e Desenvolvimento de Povos e Nacionalidades.',\n      synthesis:\n        'Criação de instituições com o objetivo de fortalecer políticas, planos, programas e projetos que tendam a posicionar os povos, nacionalidades e culturas do Equador, em busca da construção do Estado plurinacional e intercultural; promover o resgate e promoção de línguas e saberes ancestrais; fortalecer os processos organizacionais, de liderança e de intercâmbio de conhecimento entre os povos e nacionalidades do Equador; buscar obter ou destinar recursos para a execução de projetos comunitários de relevância cultural, entre outros. A direção desta nova pasta do Estado não contempla a participação de organizações legitimamente reconhecidas pelos povos e nacionalidades, também foi criada sem um processo de consulta e anuência prévia.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'f5ba15fd-b9ac-4eee-b841-e54b0427c1e6',\n    position: false,\n    widthMovimentation: -20,\n    date: {\n      day: 6,\n      month: 7,\n      year: 2021\n    },\n    color: '#FFCB05',\n    qualification: 'positive',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei Orgânica',\n      title: 's/n',\n      descriptive: 'Economia Circular Inclusiva.',\n      synthesis:\n        'Define as atribuições e responsabilidades das entidades, organismos e dependências que integram o setor público no âmbito da economia circular; estabelece critérios e mecanismos  para a implementação dos princípios de eco-design, produção e consumo sustentáveis, redução da geração de resíduos, promoção da gestão abrangente e inclusiva de resíduos e políticas públicas e financiamento da economia circular inclusiva.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '6842c0ab-27a5-4bb2-9384-87ea8d7a92f5',\n    position: true,\n    widthMovimentation: -16,\n    date: {\n      day: 6,\n      month: 7,\n      year: 2021\n    },\n    color: '#FFCB05',\n    qualification: 'positive',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Autoridade Responsável pela Política Pública']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei Orgânica',\n      title: 's/n',\n      descriptive: 'Economia Circular Inclusiva.',\n      synthesis:\n        'Define as atribuições e responsabilidades das entidades, organismos e dependências que integram o setor público no âmbito da economia circular; estabelece critérios e mecanismos  para a implementação dos princípios de eco-design, produção e consumo sustentáveis, redução da geração de resíduos, promoção da gestão abrangente e inclusiva de resíduos e políticas públicas e financiamento da economia circular inclusiva.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'b37fda4c-a97c-4198-9c2c-91e9737aee74',\n    position: false,\n    widthMovimentation: -2,\n    date: {\n      day: 14,\n      month: 7,\n      year: 2021\n    },\n    color: '#FFCB05',\n    qualification: 'negative',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais', 'Licenciamento'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: [\n        'Estudo de Impacto Ambiental',\n        'Procedimentos para Licenciamento Ambiental'\n      ]\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: 95,\n      descriptive:\n        'Plano de Ação Imediáta para o Desenvolvimento do Setor de Hidrocarbonetos.',\n      synthesis:\n        'Implementação de políticas e regulamentos para gerar condições técnicas, operacionais e legais para atrair investimentos privados no setor de hidrocarbonetos, redução dos riscos financeiros, geológicos e ambientais nas fases de exploração e aproveitamento. Busca agilizar a aprovação das licenças ambientais, o que pode gerar atos administrativos internos que flexibilizem as normas ambientais no processo de regularização. Não estabelece nenhum critério sobre quais serão os mecanismos e/ou normas para garantir os direitos coletivos dos povos e nacionalidades, em particular sobre o direito à consulta e consentimento prévio livre e informado.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '196afd5e-3e74-458e-a3d6-42907873be01',\n    position: true,\n    widthMovimentation: -8,\n    date: {\n      day: 21,\n      month: 7,\n      year: 2021\n    },\n    color: '#FFCB05',\n    qualification: 'negative',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Licenciamento'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: 122,\n      descriptive:\n        'Convenção sobre Solução de Controvérsias sobre Investimentos entre Estados e Nacionais de Outros Estados de 1966.',\n      synthesis:\n        \"Ratificação da 'Convenção sobre Solução de Controvérsias sobre Investimentos entre Estados e Nacionais de Outros Estados de 1966'.\"\n    },\n    downloadFile: null\n  },\n  {\n    id: '610d9e94-8260-46f8-be42-418bb23f2a72',\n    position: false,\n    widthMovimentation: 24,\n    date: {\n      day: 17,\n      month: 8,\n      year: 2021\n    },\n    color: '#FFCB05',\n    qualification: 'positive',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: [\n      'Floresta',\n      'Água',\n      'Povos Indígenas e Comunidades Tradicionais'\n    ],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Acordo Ministerial',\n      title: 'MAAE-2021-018',\n      descriptive: 'Programa Equador Carbono Zero.',\n      synthesis:\n        'O Programa Carbono Zero do Equador visa a mitigação e adaptação às mudanças climáticas, bem como a mudança dos atuais padrões de produção e consumo para formas mais sustentáveis ​​de produção e uso de bens e serviços, por meio da quantificação de emissões, gases de efeito estufa e sua redução e neutralização; ao mesmo tempo, contribui para fixar carbono, reduzir o desmatamento e a degradação e gerar serviços ambientais por meio da conservação e/ou restauração de ecossistemas;'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'b49d5fdd-fc8d-4321-9d44-ef480b3708a8',\n    position: true,\n    widthMovimentation: -5,\n    date: {\n      day: 10,\n      month: 8,\n      year: 2021\n    },\n    color: '#FFCB05',\n    qualification: 'negative',\n    country: 'Equador',\n    flag: EquadorFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais', 'Licenciamento'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: [\n        'Convenção 169/OIT',\n        'Estudo de Impacto Ambiental',\n        'Procedimentos para Licenciamento Ambiental'\n      ]\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: 151,\n      descriptive: 'Plano de Desenvolvimento do Setor Mineiro.',\n      synthesis:\n        'Plano de desenvolvimento do setor mineiro, privilegia a segurança jurídica, os investimentos nacionais e estrangeiros para aumentar as exportações de materiais mineiros, estabelece a necessidade de promover a regulamentação dos processos de consulta prévia, livre e informada aos povos e nacionalidades indígenas, mas não abrange aspectos específicos relativos ao consentimento ou ao uso de padrões internacionais para a referida norma. Está prevista a revisão de atos administrativos anteriores e demais outorgas ambientais e hídricas relacionadas ao setor de mineração, para que sejam atendidas em tempo hábil pelo Órgão Ambiental e não interfiram nos compromissos de investimentos planejados pelos mineradores. A priorização dos investimentos é evidenciada, de forma que atos administrativos internos poderiam ser gerados para agilizar os processos de regularização.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'dd9058cf-3fe8-4367-b4bd-3b3bfccdf614',\n    position: false,\n    widthMovimentation: -23,\n    date: {\n      day: 13,\n      month: 4,\n      year: 1987\n    },\n    color: '#F04E30',\n    qualification: 'baseline',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: 24656,\n      descriptive:\n        'Comunidades Campesinas, Instituto Nacional de Desenvolvimento e Comunidades Campesinas e Fundo Nacional de Desenvolvimento Comunitário.',\n      synthesis: null\n    },\n    downloadFile: null\n  },\n  {\n    id: 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em consequência da declaração do Estado de Emergência Nacional para a COVID-19.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'daa7c47c-38e7-4619-a147-0e0990f70abe',\n    position: false,\n    widthMovimentation: 23,\n    date: {\n      day: 18,\n      month: 4,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Mecanismos de Implementação', 'Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: '042-2020',\n      descriptive:\n        'Aprova Medidas Extraordinárias Devido ao Impacto Econômico e Social Causado pelo COVID-19.',\n      synthesis:\n        'Aprova medidas extraordinárias adicionais destinadas a ajudar a reduzir o impacto sobre a economia peruana das famílias que vivem em situação de pobreza ou extrema pobreza em áreas rurais, devido ao impacto econômico e social causado pelo COVID-19'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'b0c6e0b1-20e0-4c28-9d8f-dff29042a144',\n    position: true,\n    widthMovimentation: 11,\n    date: {\n      day: 29,\n      month: 5,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: [\n      'Povos Indígenas e Comunidades Tradicionais',\n      'Patrimônio Cultural'\n    ],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Mecanismos de Implementação', 'Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '004-2020-M',\n      descriptive: 'Emergência Sanitária COVID-19.',\n      synthesis:\n        'Decreto que aprova diretrizes técnicas para garantir a relevância e adaptação cultural no atendimento aos povos indígenas, no âmbito da Emergência Sanitária declarada pelo COVID-19.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '5461c417-0d3d-4a0b-81cc-23983b9b7d78',\n    position: false,\n    widthMovimentation: -3,\n    date: {\n      day: 29,\n      month: 5,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: [\n      'Patrimônio Cultural',\n      'Povos Indígenas e Comunidades Tradicionais'\n    ],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Autoridade Responsável pela Política Pública']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '005-2020-MC',\n      descriptive:\n        ' Incorpora a Variável Étnica nos Registros Administrativos das Entidades Públicas.',\n      synthesis:\n        'Aprova a incorporação da variável étnica nos registros administrativos das entidades públicas.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '047c5019-e03f-4ab1-94c6-114bb79e0784',\n    position: true,\n    widthMovimentation: -17,\n    date: {\n      day: 22,\n      month: 6,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Autoridade Responsável pela Política Pública']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto',\n      title: '071-2020',\n      descriptive:\n        'Plano de Intervenção do Ministério da Saúde para Comunidades Indígenas e Povoados Rurais da Amazônia Frente à Emergencia da Covid-19.',\n      synthesis:\n        'Plano de Intervenção do Ministério da Saúde para comunidades indígenas e povoados rurais da Amazônia frente à emergência da Covid-19.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'a0dbbd47-d891-49e0-b19d-9f5b3e368321',\n    position: false,\n    widthMovimentation: -7,\n    date: {\n      day: 4,\n      month: 6,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '008-2020-MC',\n      descriptive: 'Emergência Sanitária COVID-19.',\n      synthesis:\n        'Aprova as Diretrizes para a transferência e entrega de bens e/ou alimentos aos povos indígenas, por entidades públicas, pessoas físicas e/ou jurídicas de direito privado, no âmbito da emergência sanitária.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'd9048d8b-9a0d-45ca-b319-e177f11e8ad9',\n    position: true,\n    widthMovimentation: 4,\n    date: {\n      day: 29,\n      month: 7,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'negative',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Licenciamento', 'Água', 'Floresta'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção', 'Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '019-2020-EM',\n      descriptive:\n        'Regulamento de Proteção Ambiental para Atividades de Exploração Mineira.',\n      synthesis:\n        'Decreto que altera o Regulamento de Proteção Ambiental para Atividades de Exploração Mineira. A emenda estabelece que para os casos de avaliação de fichas técnicas ambientais (TLC) se aplique silêncio administrativo positivo, ou seja, considera-se aprovado o TLC sem a necessidade de manifestação da  autoridade competente. Apesar do fato de que o FTA é um IGA para projetos de exploração e que tal atividade pode causar danos ao meio ambiente.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'dd3fac5f-2a5e-42f0-8208-f7a8727a256a',\n    position: false,\n    widthMovimentation: -17,\n    date: {\n      day: 29,\n      month: 7,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'negative',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Licenciamento', 'Água', 'Floresta'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Autoridade para o Licenciamento']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '019-2020-EM',\n      descriptive:\n        'Regulamento de Proteção Ambiental para Atividades de Exploração Mineira.',\n      synthesis:\n        'Decreto que altera o Regulamento de Proteção Ambiental para Atividades de Exploração Mineira. A emenda estabelece que para os casos de avaliação de fichas técnicas ambientais (TLC) se aplique silêncio administrativo positivo, ou seja, considera-se aprovado o TLC sem a necessidade de manifestação da  autoridade competente. Apesar do fato de que o FTA é um IGA para projetos de exploração e que tal atividade pode causar danos ao meio ambiente.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '88e3e198-7907-4fbf-a246-9851c29d4e39',\n    position: true,\n    widthMovimentation: -3,\n    date: {\n      day: 3,\n      month: 7,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: [\n      'Floresta',\n      'Espaços Protegidos',\n      'Água',\n      'Povos Indígenas e Comunidades Tradicionais'\n    ],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Autoridade Responsável pela Política Pública']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '006-2020-MINAM',\n      descriptive:\n        'Comissão de Alto Nível para Propor Medidas de Adaptação e Mitigação às Mudanças Climáticas e Contribuições Nacionalmente Determinadas.',\n      synthesis:\n        'O objetivo da Comissão de Alto Nível é propor medidas de adaptação e mitigação às mudanças climáticas e Contribuições Nacionalmente Determinadas (NDC), bem como emitir o relatório técnico sobre o NDC a cada cinco anos, para o ponto focal  da Convenção-Quadro de as Nações Unidas sobre Mudança do Clima, em conformidade com os compromissos internacionais ratificados pelo Peru.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '63167f0e-9903-4fb4-ac62-feb76a453401',\n    position: false,\n    widthMovimentation: 15,\n    date: {\n      day: 30,\n      month: 7,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '010-2020-MC',\n      descriptive: 'Emergência Sanitária COVID-19.',\n      synthesis:\n        'Aprova as Diretrizes para a implementação da estratégia de alerta para a identificação de casos suspeitos de COVID-19 em povos indígenas  e afro-peruanos, e para o acompanhamento e monitoramento durante o tratamento médico dos casos, no âmbito da Emergência Sanitária.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '49210c5b-5148-45af-adb2-5c463c9d1c5b',\n    position: true,\n    widthMovimentation: -15,\n    date: {\n      day: 20,\n      month: 7,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Patrimônio Cultural'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '009-2020-MC',\n      descriptive: 'Política Nacional de Cultura até 2030.',\n      synthesis: 'Aprova a Política Nacional de Cultura até 2030.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '2ca81c81-711d-4379-a8c2-3eda2bc3e409',\n    position: false,\n    widthMovimentation: -15,\n    date: {\n      day: 18,\n      month: 8,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'negative',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Floresta', 'Espaços Protegidos'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '021-2020-EM',\n      descriptive:\n        'Regulamento o Fundo de Contingência para Remediação Ambiental.',\n      synthesis:\n        'Decreto que altera o Regulamento da Lei n.º 3.0321, Lei que cria o Fundo de Contingência para Remediação Ambiental, aprovado pelo Decreto Supremo n.º 039-2016-EM. O artigo 14 estende os prazos a favor das empresas que declarem locais impactados para a apresentação do Plano de Reabilitação perante a autoridade do setor competente com cópia para o OEFA e a Profonanpe, até ao máximo de catorze meses a contar da referida declaração, parecer técnico prévio da autoridade do setor competente e parecer favorável do Conselho de Administração, podendo ser prorrogado por mais quatro meses, sendo a regra anterior concedida a nove meses, e o prazo praticamente dobrou.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '69962627-0c3c-41ff-b85f-0e5ef21d1f49',\n    position: true,\n    widthMovimentation: 17,\n    date: {\n      day: 13,\n      month: 8,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: [\n      'Floresta',\n      'Espaços Protegidos',\n      'Povos Indígenas e Comunidades Tradicionais'\n    ],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Autoridade Responsável pela Política Pública']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '007-2020-MINAGRI',\n      descriptive:\n        'Protocolo de Ação Interinstitucional para a Gestão e Proteção dos Ecossistemas da Lista Setorial de Ecossistemas Frágeis.',\n      synthesis:\n        'Decreto que aprova o Protocolo de Ação Interinstitucional para a Gestão e Proteção dos Ecossistemas da Lista Setorial de Ecossistemas Frágeis.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '1c0dd2e9-c0d1-4f07-a36d-8a8024a4e7de',\n    position: false,\n    widthMovimentation: -21,\n    date: {\n      day: 7,\n      month: 8,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'negative',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Licenciamento'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: [\n        'Procedimentos para Licenciamento Ambiental',\n        'Escopo de Proteção'\n      ]\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '020-2020-EM',\n      descriptive: 'Regulamento dos Procedimentos Mineiros.',\n      synthesis:\n        'Decreto que aprova o Regulamento dos Procedimentos Mineiros. Esta norma traz retrocessos nos padrões ambientais, sociais e de segurança dos procedimentos denominados Mudanças na Outorga da Concessão do Benefício e Mudanças na Outorga da Concessão do Transporte Mineiro. Por exemplo, o prazo máximo para avaliação e aprovação da autorização de exploração de concessão de benefício é de trinta (30) dias úteis, contados da apresentação do pedido. Se, nesse prazo, a Direção-Geral de Minas ou a GORE não se manifestar, considera-se aprovado, ou seja, aplica-se silêncio administrativo positivo.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'c0d8351f-a20f-4991-8c1a-75144cdd854b',\n    position: true,\n    widthMovimentation: 13,\n    date: {\n      day: 29,\n      month: 9,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: [\n      'Deslocamento Forçado',\n      'Povos Indígenas e Comunidades Tradicionais'\n    ],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '014-2020-MC',\n      descriptive: 'Emergência Sanitária COVID-19.',\n      synthesis:\n        'Aprova Diretrizes para atuação em áreas  em que o Ministério da Cultura tenha determinado a presença ou deslocamento de povos indígenas em situação de isolamento e em situação de contato inicial, bem como em suas áreas contíguas ou circunvizinhas, no âmbito da emergência sanitaria.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '0a9228e3-c855-405c-bfae-86e630d3f536',\n    position: false,\n    widthMovimentation: 13,\n    date: {\n      day: 3,\n      month: 9,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção', 'Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '012-2020-MC',\n      descriptive:\n        'Serviço de Interpretação e Tradução em Línguas Indígenas ou Nativas para Situações de Emergência.',\n      synthesis:\n        'Cria o “Serviço de Interpretação e Tradução em Línguas Indígenas ou Nativas para situações de emergência”, para garantir a todos o direito de usar sua língua indígena ou nativa na esfera pública e, por sua vez, de ser atendido em sua língua materna nas agências ou instâncias do estado; bem como melhorar a qualidade do acesso e da prestação dos serviços públicos.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '8c18e162-f68c-46dd-a338-6ebfa7155d62',\n    position: true,\n    widthMovimentation: 21,\n    date: {\n      day: 14,\n      month: 9,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: 31048,\n      descriptive: 'Dia Nacional da Mulher Indígena ou Nativa.',\n      synthesis:\n        'Declarado o dia 18 de 5 de cada ano, Dia Nacional da Mulher Indígena ou Nativa, a fim de tornar visível, reconhecer, valorizar e promover a participação e contribuição efetiva das mulheres indígenas no desenvolvimento social, econômico, político e cultural do Peru.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '7696f770-080c-47d6-836f-b9f1c15511a0',\n    position: false,\n    widthMovimentation: -3,\n    date: {\n      day: 30,\n      month: 12,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '019-2020-MC',\n      descriptive:\n        'Mapa Etnolinguístico do Peru e Registro Nacional de Línguas Indígenas ou Nativas.',\n      synthesis:\n        \"Estabelece medidas complementares para a implementação do 'Mapa Etnolinguístico do Peru' e do 'Registro Nacional de Línguas Indígenas ou Nativas', Decreto Legislativo que estabelece ações para a proteção dos povos indígenas ou indígenas no âmbito da saúde declarada emergência por COVID-19.\"\n    },\n    downloadFile: null\n  },\n  {\n    id: '97c634f4-371a-4702-9b40-cb8821074324',\n    position: true,\n    widthMovimentation: -3,\n    date: {\n      day: 28,\n      month: 12,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'negative',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Licenciamento'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: [\n        'Procedimentos para Licenciamento Ambiental',\n        'Escopo de Proteção'\n      ]\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '032-2020-EM',\n      descriptive: 'Mineração.',\n      synthesis:\n        'Estabelece novos prazos para a formalização dos trabalhos da mineração inscritos na REINFO, em consonância com o disposto no Decreto Supremo nº 015-2020-EM, que aprova a prorrogação dos prazos para credenciamento no Cadastro Integral de Formalização Mineira e se justifica na situação em que o país enfrenta a pandemia gerada pelo surto da COVID-19, outorgando-se essa nova prorrogação para a formalização da mineração, resultando em um processo que nunca termina.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '8518bc63-76e4-4bb6-9c92-213677150594',\n    position: false,\n    widthMovimentation: -15,\n    date: {\n      day: 7,\n      month: 12,\n      year: 2020\n    },\n    color: '#F04E30',\n    qualification: 'negative',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Licenciamento'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '028-2020-EM',\n      descriptive:\n        'Autoriza Empresas Minerárias, de Capital Estrangeiro e Peruano, a Adquirir Direitos Minerários Dentro da Zona de Fronteira.',\n      synthesis:\n        'Declara necessidade pública o investimento privado em mineração e autorizam empresas de capital estrangeiro e peruano a adquirir direitos minerários dentro da zona de fronteira de cinquenta quilômetros, apesar da proibição estabelecida na Constituição. A decisão se baseia no argumento de que a indústria de mineração é de utilidade pública, transcende o interesse privado e alcançará o desenvolvimento em áreas de fronteira.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '261fb32d-84f9-4534-a541-443b16d65f2a',\n    position: true,\n    widthMovimentation: 4,\n    date: {\n      day: 26,\n      month: 3,\n      year: 2021\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Floresta', 'Água'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '004-2021-MINAM',\n      descriptive:\n        'Plano de Ação Atualizado da Estratégia Nacional de Diversidade Biológica até 2021.',\n      synthesis:\n        'Decreto que aprova o “Plano de Ação Atualizado da Estratégia Nacional de Diversidade Biológica até 2021”.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '3978b957-da0b-4888-a504-41ae7df8e839',\n    position: false,\n    widthMovimentation: -20,\n    date: {\n      day: 25,\n      month: 3,\n      year: 2021\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Comissões']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '005-2021-MC',\n      descriptive: 'Comissão Multissetorial Permanente.',\n      synthesis:\n        'Criação da Comissão Multissetorial Permanente, com o objetivo de propor, acompanhar e fiscalizar a implementação de medidas e ações estratégicas para fortalecer o diálogo, a articulação e o desenvolvimento integral dos povos indígenas ou nativos do país.  composta por 11 setores e 7 organizações indígenas de âmbito nacional, mais de 5 milhões de peruanos se autodenominam indígenas, segundo o Censo Nacional de 2017.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '1cf2fa7b-bbeb-40a5-97be-005c93369087',\n    position: true,\n    widthMovimentation: -24,\n    date: {\n      day: 4,\n      month: 3,\n      year: 2021\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: 31168,\n      descriptive: 'Ações Afirmativas para Mulheres Rurais e Indígenas',\n      synthesis:\n        'O objetivo desta lei é fortalecer, por meio de ações afirmativas, o empoderamento, a igualdade de oportunidades e o desenvolvimento integral das mulheres rurais e indígenas, potencializando sua autonomia econômica, cultural e social, por meio da capacitação e do financiamento produtivo.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'bf1ff8b7-2301-4e2f-aa33-5b5df80cdd43',\n    position: false,\n    widthMovimentation: 17,\n    date: {\n      day: 31,\n      month: 3,\n      year: 2021\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Licenciamento'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Estudo de Impacto Ambiental', 'Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '007-2021-EM',\n      descriptive: 'Regulamenta a Reprogramação da Atividade Mineira.',\n      synthesis:\n        'Tem por objetivo regulamentar a reprogramação da atividade mineira e respetivas medidas, compromissos e obrigações  ambientais assumidos nos Estudos Ambientais, Instrumentos Complementares de Gestão Ambiental e suas modificações aprovados.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'f202b56b-540f-4ea7-9dd2-30738f061cc7',\n    position: true,\n    widthMovimentation: 19,\n    date: {\n      day: 18,\n      month: 5,\n      year: 2021\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Licenciamento'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: 31211,\n      descriptive:\n        'Adequação do Transporte e Disposição Final dos Rejeitos Atividades Minero-Metalúrgicas.',\n      synthesis:\n        'Tem por objetivo proporcionar a adequação do transporte e disposição final dos rejeitos gerados por empresas que desenvolvem atividades minero-metalúrgicas como produto de suas operações, de forma que não gerem impactos ambientais negativos.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '807c60be-573d-4867-9ede-7bd5d1644542',\n    position: false,\n    widthMovimentation: 11,\n    date: {\n      day: 17,\n      month: 6,\n      year: 2021\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Floresta', 'Água', 'Espaços Protegidos'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Comissões']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '011-2021-MINAM',\n      descriptive:\n        'Comissão para Medidas de Prevenção e Redução dos Crimes Ambientais.',\n      synthesis:\n        'Cria uma comissão com o objetivo de propor medidas de prevenção e redução dos crimes ambientais, bem como contribuir para a melhoria da resposta e eficácia do Estado contra a prática de infrações penais que afetam o meio ambiente. O artigo 9º, refere-se à articulação, colaboração e cooperação com outras comissões ou espaços interinstitucionais já constituídos, sem sobrepor funções e contribuindo para o seu fortalecimento, garantindo uma intervenção estratégica, consistente e integral do Estado.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '175c4e1f-902a-411d-99f9-92307da4e666',\n    position: true,\n    widthMovimentation: 1,\n    date: {\n      day: 22,\n      month: 7,\n      year: 2021\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: [\n      'Floresta',\n      'Água',\n      'Povos Indígenas e Comunidades Tradicionais'\n    ],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção', 'Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '017-2021-MINAM',\n      descriptive: 'Plano Integral Contra a Mineração Ilegal.',\n      synthesis:\n        \"Aprova o Plano Integral Contra a Mineração Ilegal 'PLANO DE RESTAURAÇÃO' que visa erradicar a mineração ilegal no departamento de Madre de Dios e nos distritos de Camanti, província de Quispicanchi, e Ayapata, província de Carabaya, dos departamentos de Cusco e Puno e evitar seu deslocamento para outras áreas do território nacional.\"\n    },\n    downloadFile: null\n  },\n  {\n    id: '00e49b57-6df5-4008-a010-325c5e0e05e4',\n    position: false,\n    widthMovimentation: 2,\n    date: {\n      day: 12,\n      month: 7,\n      year: 2021\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: 31269,\n      descriptive:\n        'Comunidades Camponesas, Comunidades Nativas e Rondas Camponesas face à Pandemia da Covid-19.',\n      synthesis:\n        'Lei que garante o funcionamento das Comunidades Camponesas, Comunidades Nativas e Rondas Camponesas face à Pandemia da Covid-19.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '4b1d2805-6065-4baa-ac25-205bc4461cec',\n    position: true,\n    widthMovimentation: -6,\n    date: {\n      day: 15,\n      month: 7,\n      year: 2021\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Povos Indígenas e Comunidades Tradicionais'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '012-2021-MC',\n      descriptive:\n        'Política Nacional de Línguas Nativas, Tradição Oral e Interculturalidade até 2040.',\n      synthesis:\n        'Decreto  que aprova a Política Nacional de Línguas Nativas, Tradição Oral e Interculturalidade até 2040.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'a126a0f0-e7d1-4f21-82da-ed2228246762',\n    position: false,\n    widthMovimentation: -4,\n    date: {\n      day: 22,\n      month: 7,\n      year: 2021\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Floresta', 'Água'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '023-2021-MINAM',\n      descriptive: 'Política Nacional do Meio Ambiente até 2030.',\n      synthesis:\n        'Aprova a Política Nacional do Meio Ambiente até 2030 e afirma que a recuperação de bens e serviços ecossistêmicos no país será possível se for possível também evitar a perda contínua da diversidade biológica, conter a deterioração da qualidade ambiental e reduzir riscos e impactos diante dos perigos naturais e provocados pelo homem face às alterações climáticas.  Exige que a governança ambiental seja fortalecida e capaz de criar condições institucionais que permitam uma gestão adequada do território, exige que os processos produtivos de bens e serviços busquem a ecoeficiência e sustentabilidade e, por fim, que os processos de tomada de decisão em questões ambientais sejam realizados com base na discussão científica.'\n    },\n    downloadFile: null\n  },\n  {\n    id: 'd062549e-6bac-4587-a0e4-3b6bbfe0ade3',\n    position: true,\n    widthMovimentation: 20,\n    date: {\n      day: 20,\n      month: 7,\n      year: 2021\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Licenciamento', 'Floresta', 'Água'],\n    category: {\n      name: 'Regulação',\n      icon: Hammer,\n      subcategories: ['Escopo de Proteção', 'Mecanismos de Implementação']\n    },\n    legalFramework: {\n      legalInstrument: 'Lei',\n      title: 31347,\n      descriptive: 'Regulamenta o Fechamento de Minas.',\n      synthesis:\n        'Objetivo desta lei é alterar a Lei 28090, Lei que regulamenta o Fechamento de Minas, de forma a adequar a norma às alterações ocorridas após sua emissão e aos atuais poderes exercidos pelas entidades envolvidas, sendo que as disposições aprovadas nesta lei será aplicável de forma complementar ao regime jurídico que regula o encerramento de passivos ambientais, em tudo o que permita assegurar o cumprimento dos objetivos de remediação ambiental em tempo hábil e sancionar o incumprimento dos responsáveis ​​geradores do passivo ambiental.'\n    },\n    downloadFile: null\n  },\n  {\n    id: '271f929a-38e6-43be-bc72-cca2d860cd01',\n    position: false,\n    widthMovimentation: -2,\n    date: {\n      day: 26,\n      month: 8,\n      year: 2021\n    },\n    color: '#F04E30',\n    qualification: 'positive',\n    country: 'Peru',\n    flag: PeruFlag,\n    dimensions: ['Floresta', 'Água'],\n    category: {\n      name: 'Instituição',\n      icon: Building,\n      subcategories: ['Autoridade Responsável pela Política Pública']\n    },\n    legalFramework: {\n      legalInstrument: 'Decreto Supremo',\n      title: '026-2021-MINAM',\n      descriptive:\n        'Regulamento do Cadastro Nacional de Consultores Ambientais.',\n      synthesis:\n        'Decreto  que aprova o Regulamento do Cadastro Nacional de Consultores Ambientais.'\n    },\n    downloadFile: null\n  }\n] as IJsonData[];\n","export default __webpack_public_path__ + \"static/media/BR_OFF.35cbf2b7.svg\";","export default __webpack_public_path__ + \"static/media/BR_ON.a8abdcc5.svg\";","export default __webpack_public_path__ + \"static/media/BR_OVER.d1470020.svg\";","export default __webpack_public_path__ + \"static/media/CO_OFF.be2f71c4.svg\";","export default __webpack_public_path__ + \"static/media/CO_ON.93f420ab.svg\";","export default __webpack_public_path__ + \"static/media/CO_OVER.707dda97.svg\";","export default __webpack_public_path__ + \"static/media/EC_OFF.8381ee59.svg\";","export default __webpack_public_path__ + \"static/media/EC_ON.96ee6600.svg\";","export default __webpack_public_path__ + \"static/media/EC_OVER.8b55c49b.svg\";","export default __webpack_public_path__ + \"static/media/PE_OFF.8be23f57.svg\";","export default __webpack_public_path__ + \"static/media/PE_ON.f371e944.svg\";","export default __webpack_public_path__ + \"static/media/PE_OVER.960d9ad3.svg\";","export default __webpack_public_path__ + \"static/media/BO_OFF.4b69cf8e.svg\";","export default __webpack_public_path__ + \"static/media/BO_ON.80847852.svg\";","export default __webpack_public_path__ + \"static/media/BO_OVER.6cf5fb36.svg\";","export default __webpack_public_path__ + \"static/media/iconInstituicoes.3bdaabcc.svg\";","export default __webpack_public_path__ + \"static/media/iconParticipacao.b1144900.svg\";","export default __webpack_public_path__ + \"static/media/iconRegulacao.045db64e.svg\";","import {\n  useContext,\n  createContext,\n  useState,\n  useCallback,\n  useEffect\n} from 'react';\nimport { useTheme } from 'styled-components';\n// import { useData } from './useData';\n\nimport {\n  brasilIconOff,\n  brasilIconOn,\n  brasilIconOver,\n  colombiaIconOff,\n  colombiaIconOn,\n  colombiaIconOver,\n  equadorIconOff,\n  equadorIconOn,\n  equadorIconOver,\n  peruIconOff,\n  peruIconOn,\n  peruIconOver,\n  boliviaIconOff,\n  boliviaIconOn,\n  boliviaIconOver\n} from '../assets/icons/countryFilters';\n\nimport instituitionIcon from '../assets/icons/menu/iconInstituicoes.svg';\nimport participationIcon from '../assets/icons/menu/iconParticipacao.svg';\nimport regulatoinIcon from '../assets/icons/menu/iconRegulacao.svg';\nimport { IJsonData } from '../data';\n\ntype FilterStatearray = {\n  categories: string[];\n  countries: string[];\n  dimensions: string[];\n};\n\ntype Categoryarray = {\n  name: string;\n  text: string;\n  icon: string;\n  isChecked: boolean;\n};\n\ntype Countryarray = {\n  name: string;\n  text: string;\n  color: string;\n  icons: {\n    off: string;\n    on: string;\n    over: string;\n  };\n  isChecked: boolean;\n};\n\ntype Dimensionarray = {\n  name: string;\n  isChecked: boolean;\n};\n\ninterface Filterarray {\n  children: React.ReactNode;\n}\n\ntype FilterContextType = {\n  categories: Categoryarray[];\n  countries: Countryarray[];\n  dimensions: Dimensionarray[];\n  handleSetCategories: (categoriesArray: Categoryarray[]) => void;\n  handleSetCountries: (countriesArray: Countryarray[]) => void;\n  handleSetDimensions: (dimensionsArray: Dimensionarray[]) => void;\n  dataFilterController: (array: IJsonData[]) => IJsonData[];\n  filter: FilterStatearray;\n};\n\nconst FilterContext = createContext({} as FilterContextType);\n\nexport function FilterContextProvider({ children }: Filterarray) {\n  const {\n    colors: { blue, yellow, red, green }\n  } = useTheme();\n\n  const [categories, setCategories] = useState<Categoryarray[]>([\n    {\n      name: 'regulation',\n      text: 'Regulação',\n      icon: regulatoinIcon,\n      isChecked: true\n    },\n    {\n      name: 'instituition',\n      text: 'Instituição',\n      icon: instituitionIcon,\n      isChecked: true\n    },\n    {\n      name: 'participation',\n      text: 'Participação',\n      icon: participationIcon,\n      isChecked: true\n    }\n  ]);\n\n  const [countries, setCountries] = useState<Countryarray[]>([\n    {\n      name: 'Bolívia',\n      text: 'BO',\n      color: green[5],\n      icons: {\n        off: boliviaIconOff,\n        on: boliviaIconOn,\n        over: boliviaIconOver\n      },\n      isChecked: true\n    },\n    {\n      name: 'Brasil',\n      text: 'BR',\n      color: green[4],\n      icons: {\n        off: brasilIconOff,\n        on: brasilIconOn,\n        over: brasilIconOver\n      },\n      isChecked: true\n    },\n    {\n      name: 'Colômbia',\n      text: 'CO',\n      color: blue[1],\n      icons: {\n        off: colombiaIconOff,\n        on: colombiaIconOn,\n        over: colombiaIconOver\n      },\n      isChecked: true\n    },\n    {\n      name: 'Equador',\n      text: 'EC',\n      color: yellow[1],\n      icons: {\n        off: equadorIconOff,\n        on: equadorIconOn,\n        over: equadorIconOver\n      },\n      isChecked: true\n    },\n    {\n      name: 'Peru',\n      text: 'PE',\n      color: red[1],\n      icons: {\n        off: peruIconOff,\n        on: peruIconOn,\n        over: peruIconOver\n      },\n      isChecked: true\n    }\n  ]);\n\n  const [dimensions, setDimensions] = useState<Dimensionarray[]>([\n    {\n      name: 'Licenciamento',\n      isChecked: true\n    },\n    {\n      name: 'Água',\n      isChecked: true\n    },\n    {\n      name: 'Uso da Terra',\n      isChecked: true\n    },\n    {\n      name: 'Floresta',\n      isChecked: true\n    },\n    {\n      name: 'Deslocamento Forçado',\n      isChecked: true\n    },\n    {\n      name: 'Agrotóxico',\n      isChecked: true\n    },\n    {\n      name: 'Patrimônio Cultural',\n      isChecked: true\n    },\n    {\n      name: 'Espaços Protegidos',\n      isChecked: true\n    },\n    {\n      name: 'Povos Indígenas e Comunidades Tradicionais',\n      isChecked: true\n    }\n  ]);\n\n  const [filter, setFilter] = useState<FilterStatearray>({\n    categories: [],\n    countries: [],\n    dimensions: []\n  });\n\n  const handleSetCategories = (categoriesArray: Categoryarray[]): void => {\n    setCategories(categoriesArray);\n  };\n\n  const handleSetCountries = (countriesArray: Countryarray[]): void => {\n    setCountries(countriesArray);\n  };\n\n  const handleSetDimensions = (dimensionsArray: Dimensionarray[]): void => {\n    setDimensions(dimensionsArray);\n  };\n\n  const handleSetFilter = useCallback(() => {\n    const filteredCategories = categories.filter(\n      category => category.isChecked === true\n    );\n\n    const filteredCountries = countries.filter(\n      country => country.isChecked === true\n    );\n\n    const filteredDimensions = dimensions.filter(\n      dimension => dimension.isChecked === true\n    );\n\n    const mapedFilters = {\n      categories: filteredCategories.map(category => category.text),\n      countries: filteredCountries.map(country => country.name),\n      dimensions: filteredDimensions.map(dimension => dimension.name)\n    };\n\n    setFilter(mapedFilters);\n  }, [categories, countries, dimensions]);\n\n  const dataFilterController = useCallback(\n    (array: IJsonData[]): IJsonData[] => {\n      const dimensionsLength = dimensions.filter(\n        dimension => dimension.isChecked === true\n      ).length;\n\n      // A1 B0 C0\n      if (\n        filter.countries.length === 0 &&\n        filter.dimensions.length === 0 &&\n        filter.categories.length > 0\n      ) {\n        const filteredCategories: IJsonData[] = array.filter(item =>\n          filter.categories.includes(item.category?.name as string)\n        );\n\n        return filteredCategories;\n      }\n\n      // A0 B0 C1\n      if (\n        filter.categories.length === 0 &&\n        filter.countries.length === 0 &&\n        filter.dimensions.length > 0\n      ) {\n        const filteredDimensions: IJsonData[] = array.filter(item => {\n          const filterDimensions: string[] = item.dimensions.filter(dimension =>\n            filter.dimensions.includes(dimension)\n          );\n\n          return filterDimensions.length > 0;\n        });\n\n        return filteredDimensions;\n      }\n\n      // A0 B1 C0\n      if (\n        filter.dimensions.length === 0 &&\n        filter.categories.length === 0 &&\n        filter.countries.length > 0\n      ) {\n        const filteredCountries: IJsonData[] = array.filter(item =>\n          filter.countries.includes(item.country)\n        );\n\n        return filteredCountries;\n      }\n\n      // A0 B1 C1\n      if (\n        filter.categories.length === 0 &&\n        filter.countries.length > 0 &&\n        filter.dimensions.length > 0\n      ) {\n        const filteredCountries: IJsonData[] = array.filter(item =>\n          filter.countries.includes(item.country)\n        );\n\n        const filteredDimensions: IJsonData[] = filteredCountries.filter(\n          item => {\n            const filterDimensions: string[] = item.dimensions.filter(\n              dimension => filter.dimensions.includes(dimension)\n            );\n\n            return filterDimensions.length > 0;\n          }\n        );\n\n        return filteredDimensions;\n      }\n\n      // A1 B1 C0\n      if (\n        filter.categories.length > 0 &&\n        filter.countries.length > 0 &&\n        filter.dimensions.length === 0\n      ) {\n        const filteredCategories: IJsonData[] = array.filter(item =>\n          filter.categories.includes(item.category?.name as string)\n        );\n\n        const filteredCountries: IJsonData[] = filteredCategories.filter(item =>\n          filter.countries.includes(item.country)\n        );\n\n        return filteredCountries;\n      }\n\n      // A1 B0 C1\n      if (\n        filter.categories.length > 0 &&\n        filter.countries.length === 0 &&\n        filter.dimensions.length > 0\n      ) {\n        const filteredCategories: IJsonData[] = array.filter(item =>\n          filter.categories.includes(item.category?.name as string)\n        );\n\n        const filteredDimensions: IJsonData[] = filteredCategories.filter(\n          item => {\n            const filterDimensions: string[] = item.dimensions.filter(\n              dimension => filter.dimensions.includes(dimension)\n            );\n\n            return filterDimensions.length > 0;\n          }\n        );\n\n        return filteredDimensions;\n      }\n\n      // A1 B1 C1 AND A0 B0 C0\n      const filteredCategories: IJsonData[] = array.filter(\n        item =>\n          filter.categories.includes(item.category?.name as string) ||\n          item.category.name === null\n      );\n\n      const filteredCountries: IJsonData[] = filteredCategories.filter(item =>\n        filter.countries.includes(item.country)\n      );\n\n      const filteredDimensions: IJsonData[] = filteredCountries.filter(item => {\n        const filterDimensions: string[] = item.dimensions.filter(dimension =>\n          filter.dimensions.includes(dimension)\n        );\n\n        if (dimensionsLength === 9) {\n          return filterDimensions.length >= 0;\n        }\n\n        return filterDimensions.length > 0;\n      });\n\n      return filteredDimensions;\n    },\n    [filter.categories, filter.countries, filter.dimensions, dimensions]\n  );\n\n  useEffect(() => {\n    handleSetFilter();\n  }, [handleSetFilter]);\n\n  return (\n    <FilterContext.Provider\n      value={{\n        categories,\n        countries,\n        dimensions,\n        handleSetCategories,\n        handleSetCountries,\n        handleSetDimensions,\n        dataFilterController,\n        filter\n      }}\n    >\n      {children}\n    </FilterContext.Provider>\n  );\n}\n\nexport const useFilter = () => useContext(FilterContext);\n","import { useContext, createContext, useState, useEffect } from 'react';\nimport jsonDatabase, { IJsonData } from '../data';\n\nimport { useFilter } from './useFilter';\n\ninterface DataProps {\n  children: React.ReactNode;\n}\n\ntype DataContextType = {\n  data: IJsonData[];\n};\n\nconst DataContext = createContext({} as DataContextType);\n\nexport function DataContextProvider({ children }: DataProps) {\n  const { dataFilterController } = useFilter();\n  const [data, setData] = useState<IJsonData[]>([]);\n\n  useEffect(() => {\n    const filteredData = dataFilterController(jsonDatabase);\n\n    setData(filteredData);\n  }, [dataFilterController]);\n\n  return (\n    <DataContext.Provider value={{ data }}>{children}</DataContext.Provider>\n  );\n}\n\nexport const useData = () => useContext(DataContext);\n","import {\n  createContext,\n  ReactNode,\n  useCallback,\n  useContext,\n  useState\n} from 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</OpenAllCardsContextProvider>\n                  </MouseEventContextProvider>\n                </CustomRefContextProvider>\n              </ZoomContextProvider>\n            </ScreenDimensionsContextProvider>\n          </BoxDimensionsContextProvider>\n        </YearsContextProvider>\n      </DataContextProvider>\n    </FilterContextProvider>\n  );\n}\n\nexport {\n  useYears,\n  useBoxDimensions,\n  useScreenDimensions,\n  useZoom,\n  useCustomRef,\n  useMouseEvent,\n  useData,\n  useFilter\n};\n","var _defs, _g;\n\nvar _excluded = [\"title\", \"titleId\"];\n\nfunction _extends() { _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\n\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = 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\"static/media/logtipoBrics.f71e8690.svg\";\nexport { ForwardRef as ReactComponent };","export const factoryArrayMap = <T>(\n  array: any[] | T[],\n  key: string,\n  value: any,\n  options?: { compare?: { keyToCompare: string; valueToCompare: any } }\n): T[] => {\n  if (options?.compare) {\n    const { keyToCompare, valueToCompare } = options.compare;\n\n    const factoryArray = array.map(item =>\n      item[keyToCompare] === valueToCompare ? { ...item, [key]: value } : item\n    );\n\n    return factoryArray;\n  }\n\n  const factoryArray = array.map(item => ({\n    ...item,\n    [key]: value\n  }));\n  return factoryArray;\n};\n","import styled from 'styled-components';\n\ninterface ConteinerProps {\n  bgColor: string;\n}\n\nexport const Container = styled.label<ConteinerProps>`\n  cursor: pointer;\n\n  input {\n    display: none;\n  }\n\n  input:checked + span {\n    background-color: ${({ bgColor }) => bgColor};\n  }\n\n  &:hover {\n    opacity: 0.7;\n\n    span:nth-child(2) {\n      background-color: ${({ bgColor }) => bgColor};\n    }\n  }\n\n  span:nth-child(2) {\n    user-select: none;\n    position: relative;\n    display: flex;\n    align-items: center;\n    justify-content: center;\n    width: 27px;\n    height: 27px;\n    border-radius: 50%;\n    background-color: ${({ theme }) => theme.colors.grey['1']};\n    color: #e7e7e7;\n    transition: all 0.3s;\n\n    span {\n      font-family: ${props => props.theme.font.Oswald};\n      font-size: 11px;\n      text-shadow: 1px 1px 3px rgba(0, 0, 0, 0.38);\n      text-transform: uppercase;\n      letter-spacing: 0.5pt;\n      transform: scale(1, 1.9);\n      margin-top: -2px;\n    }\n  }\n`;\n","import { useState } from 'react';\nimport { Container } from './styles';\n\ninterface CountryFiltersProps\n  extends React.InputHTMLAttributes<HTMLInputElement> {\n  text: string;\n  bgColor: string;\n}\n\nconst CountryFilters: React.FC<CountryFiltersProps> = ({\n  text = 'BR',\n  bgColor,\n  ...rest\n}) => {\n  const [mouseOver, setMouseOver] = useState(false);\n\n  const handleMouseOver = () => {\n    setMouseOver(!mouseOver);\n  };\n\n  return (\n    <Container\n      title={text}\n      aria-label={text}\n      bgColor={bgColor}\n      onMouseEnter={handleMouseOver}\n      onMouseLeave={handleMouseOver}\n    >\n      <input type=\"checkbox\" {...rest} />\n      <span>\n        <span>{text}</span>\n      </span>\n    </Container>\n  );\n};\nexport { CountryFilters };\n","import styled from 'styled-components';\n\nexport const Container = styled.div`\n  position: fixed;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  gap: 30px;\n  bottom: 30px;\n  left: 100px;\n  z-index: 3;\n  width: calc(100% - 120px);\n  pointer-events: none;\n`;\n\nexport const Content = styled.div`\n  display: flex;\n  gap: 10px;\n  pointer-events: all;\n  padding: 7px 10px;\n  background-color: ${({ theme }) => theme.colors.white};\n  border-radius: 20px;\n`;\n\nexport const ButtonOpenCards = styled.button`\n  outline: none;\n  border: none;\n  color: ${({ theme }) => theme.colors.white};\n  background: ${({ theme }) => theme.colors.green['1']};\n  border-radius: 21px;\n  padding: 10px;\n  margin-left: auto;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  pointer-events: all;\n\n  &:hover {\n    gap: 10px;\n\n    span {\n      font-size: 13px;\n    }\n  }\n\n  span {\n    font-size: 0px;\n    transition: font-size 0.3s;\n  }\n`;\n\nexport const ContainerLogo = styled.div`\n  height: 80px;\n\n  display: flex;\n  align-items: center;\n  justify-content: center;\n`;\n","import React, { useEffect } from 'react';\n\nimport { BsEye } from 'react-icons/bs';\n\nimport { useFilter, useZoom } from '../../hooks';\n\nimport { factoryArrayMap } from '../../utils';\n\nimport { CountryFilters } from './Countries';\n\nimport { Container, Content, ButtonOpenCards } from './styles';\n\nconst Filter: React.FC = () => {\n  const { handleLoading } = useZoom();\n  const {\n    countries,\n    categories,\n    dimensions,\n    handleSetCountries,\n    handleSetCategories,\n    handleSetDimensions\n  } = useFilter();\n\n  const handleChange = (e: React.ChangeEvent<HTMLInputElement>) => {\n    const { name, checked } = e.target;\n\n    const countriesArray = factoryArrayMap(countries, 'isChecked', checked, {\n      compare: { keyToCompare: 'name', valueToCompare: name }\n    });\n\n    handleSetCountries(countriesArray);\n  };\n\n  const handleSelectAll = () => {\n    const selectAllCategories = factoryArrayMap(categories, 'isChecked', true);\n    const selectAllCountries = factoryArrayMap(countries, 'isChecked', true);\n    const selectAllDimensions = factoryArrayMap(dimensions, 'isChecked', true);\n\n    handleSetCategories(selectAllCategories);\n    handleSetCountries(selectAllCountries);\n    handleSetDimensions(selectAllDimensions);\n  };\n\n  useEffect(() => {\n    handleLoading(1000);\n  }, [countries, handleLoading]);\n\n  return (\n    <Container>\n      <Content>\n        {countries.map(country => (\n          <CountryFilters\n            key={country.name}\n            name={country.name}\n            text={country.text}\n            bgColor={country.color}\n            onChange={handleChange}\n            checked={country.isChecked}\n          />\n        ))}\n      </Content>\n\n      <ButtonOpenCards onClick={handleSelectAll}>\n        <span>Ver tudo</span>\n        <BsEye size=\"15\" />\n      </ButtonOpenCards>\n    </Container>\n  );\n};\n\nexport { Filter };\n","import styled from 'styled-components';\n\nexport const Container = styled.header`\n  width: 100%;\n  height: 100%;\n  position: relative;\n`;\n","import styled from 'styled-components';\n\nexport const Container = styled.div`\n  display: flex;\n  width: 100%;\n  background-color: ${props => props.theme.colors.green[3]};\n  position: relative;\n  height: 60px;\n`;\n\nexport const Title = styled.div`\n  display: flex;\n  align-items: center;\n  flex: 1;\n  gap: 20px;\n\n  margin-left: 100px;\n\n  span {\n    font-size: 0.75rem;\n    text-transform: uppercase;\n    letter-spacing: 3px;\n    color: ${props => props.theme.colors.white};\n  }\n\n  h1 {\n    font-size: 1.25rem;\n    color: ${props => props.theme.colors.green[2]};\n    font-family: ${props => props.theme.font.Oswald};\n\n    margin-right: 5px;\n    font-weight: normal;\n  }\n`;\n\nexport const Countries = styled.h2`\n  color: ${props => props.theme.colors.white};\n  /* font-family: ${props => props.theme.font.Oswald}; */\n  font-size: 0.6rem;\n  text-transform: uppercase;\n  /* font-weight: normal; */\n\n  span {\n    margin: 0 5px;\n  }\n`;\n\nexport const Button = styled.button`\n  width: 100%;\n  max-width: 70px;\n  height: 60px;\n  background-color: ${props => props.theme.colors.green[1]};\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  justify-content: center;\n  gap: 10px;\n  z-index: 4;\n  position: absolute;\n\n  &:hover::before {\n    transform: scaleX(1) translateZ(0px);\n  }\n\n  &::before {\n    content: ' ';\n    display: block;\n    position: absolute;\n    width: 100%;\n    max-width: 80px;\n    height: 60px;\n    background: ${({ theme }) => theme.colors.green['2']};\n    left: 0px;\n    top: 0px;\n    z-index: 0;\n    transform-origin: left center;\n    transform: scaleX(0) translateZ(0px);\n    transition: transform 0.7s cubic-bezier(0.22, 1, 0.36, 1) 0s;\n  }\n\n  span {\n    background-color: #fff;\n    width: 35px;\n    height: 1px;\n    border-radius: 2px;\n    display: block;\n    transform: scaleX(1) translateZ(0px);\n  }\n`;\n\nexport const ContainerLogo = styled.div`\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  margin-right: 30px;\n`;\n","var _defs, _g;\n\nvar _excluded = [\"title\", \"titleId\"];\n\nfunction _extends() { _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\n\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\n\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\nimport * as React from \"react\";\n\nfunction SvgLogoAmazonWatch(_ref, svgRef) {\n  var title = _ref.title,\n      titleId = _ref.titleId,\n      props = _objectWithoutProperties(_ref, _excluded);\n\n  return /*#__PURE__*/React.createElement(\"svg\", _extends({\n    xmlns: \"http://www.w3.org/2000/svg\",\n    xmlnsXlink: \"http://www.w3.org/1999/xlink\",\n    viewBox: \"0 0 37.02 37.02\",\n    ref: svgRef,\n    \"aria-labelledby\": titleId\n  }, props), title ? /*#__PURE__*/React.createElement(\"title\", {\n    id: titleId\n  }, title) : null, _defs || (_defs = /*#__PURE__*/React.createElement(\"defs\", null, /*#__PURE__*/React.createElement(\"style\", null, \"\\n      .cls-1 {\\n        fill: none !important;\\n      }\\n\\n      .cls-2 {\\n        isolation: isolate;\\n      }\\n    \"))), _g || (_g = /*#__PURE__*/React.createElement(\"g\", {\n    id: \"Camada_2\",\n    \"data-name\": \"Camada 2\"\n  }, /*#__PURE__*/React.createElement(\"g\", {\n    id: \"logo\"\n  }, 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hBAHh0iBDK8Am9sKH/v0da/6WCTD0b+RckXOOKNwtwSwEELUDrMBK+psFO5OuSJnnFd9LJKe8K8kX3F0D1b2f6FUVwlgIYSoG0QKMGYZmfCphf/8/Bev+lgiPeEqwcuP6snKfgRKdZEAFkKIusNsAKW6sLIfCV5+VE+v+lgiPWEAgckjugL0GLQ6mo3RXvVCCCFqjpRylWM+N8STiqZ9usyrPhbEfE84efLQDgAehKUlgIUQoh6xMdrY+miAHqi69sa8mA7h4MRRbRi+f8CyRrHrSgALIUQ9Y9fVsPRoYt/fgxNHtfGqj3YxG8KJ141tYSzcA0ufxK4bsz8HIYRoaOy6ytj6ZGPhnsTrxrbwqo9mMRk+gauPzlSOcxtb6lx2XfKqF0IIUbfYdYktda5ynNsCVx+d6VUfrWIuhIMTR6Wwa1/NWk9iR84DFkKIxsKOA9Z6Erv21cGJo1K86qNRTIVwcEKOnzUmkKVvRVgCWAghGl3YAVn6VtaYEJyQ4/cqjzYxE8KtxvXUHK/OMAoPsON6lQshhGgg7LgwCg9wvDqj1bieMbVINmZCuDgtazQTPQnIRhxCCBF5DJjoyeK0rNFeldEkJjbrSLki5zBXq3eI0CIG/rhiH4gB+s1OaEwKLMvyhIgYRAAzNmvXnFTwz1nfedVHg6gP4eRJOe2MUq8TqQGyHWVsUYZBxgEYMPGJ8MUnQWkLAOAaB+HSIqiyEkBZcHXMDAoJEdGIFJjNfGXMmYWPzVrrVd/URXUIB64cmQ6Df0KpMySAYwcxoJwwTFIK2mZmo1uzluia2QrtM1ogwfaDAJQ55VixbRN+3LQa321YjYqdm+HattdLCyEaQNWBD/+GwhVFj8zc6VXflEVtCAcn5PidRDVVMf3RkAw6xgrtumBto03rjjivz1CM6jUA/bI77be+3HEw/YfP8MSXH+Dn5Qvg6phaEyJExFJMbIj/QjrujqKH3q/wqm+qojaEUyaNfMRVmIQYWnwWy4gBZQyate6E20eejhFd+yM7Jd2r2R7bSopwy9tP4t+z34IbF+dVLoRoGIYY04qmzbzKq7CpisqASp404lpDGE8UnX8+sTequo/s2rk3Xjn/D7hg4KgaBTAANEsM4Krhp8FKz4Iy0XljKkRTU3UNvzAweeQ1XrVNVdSFVODKESeB1DVQCERpJ1/8hjIuUpu3xhPjrsaA1vsfevbSOaMVzj8sB8oJe5UKIRoAMwCFAIGuDVw54iSv+qYoqkI4ecroPsx0qyFuLQEcG4gBk5CE8f2GoW927U5Gi7ctnHjo4YCRRXxCRApmoPKaTrcmTxndx6u+qYmaEE4Zf0y6gXsHkeoHQBZixQhig+SEZBx3yGCv0mrJSk6DSUmLyiFp4sqFa1bY+c2XC+2aPcP6QkQgIlL9DNw7ks4ZnuFV3JRYXgVNhUniqURqLGBkeWuMUZaFjIRkr7JqUaRAdhy4rMSrtMnY88iWZaN1u+5ok5wKp6q3rwC4xmBjaSE2bloNq7wMxrJhlNzHikhjNBHGcpq+DUDUzBFHRQgHrhx5FZE6jwGfDEPHGkJ5OIw1u7aiU0btjyUtC1eA8nfAtaLjXo4YgGXh0mPG4eIhY5CemAKtNfCbz4ljXJSGyvDFykW4/eNXsXPrWjBJEIvIwQwQKZ9mXBCcdMzq/Mc+edirTVPQ5EM4cOXI48nQZNZIZZnLizlMhIqifLy14Asc06WvV/kBVbgOPl3yPeA6QBSEMDGQmN4c/5lwCw5r3RV+y+vjnoy2A5qhX5uuOPW5P2Pr+uXy3LSIKMwGRqtUcjE5cOXI1UWPzHzPq02ka9JzwsGJwzOI1Q1Gq84SwLGJCUC4HO8u+wFfr1vqVX5Ay7ZtxF0zX4fr83mVRjxiwJ/aDJ9OuhtHtu9ZjQCupIjQM6s1zjhkMDg+SeaJRcRhY2C06kysbghObPrzw002hAN35liu1uexwlAYV8bNYphRCvm563HbO89iW0mhV/nvMIDFW9bi1GfvBhfujIphWFIW/j3hZvTMaudVuk99WnaEHZ8IkvkdEYmMS6wwlGCdG8gZXr07zAjVJEM4cOdwhW00mgm3gWUltAAMEb5Z+gPOffZuLN22EW419gp3jEFBeRme/Op9HPHQjcjdvAZGNcmPxF50OIyrxpyFIe26e5XuV2KcH5aSoWgRwRgUtvh2dFejA3cOb7If3CZ3B2H7/eS/bGhPJnMLaZ3OruvVRMQIJuDbX77FUQ//AVNHnYlx/Ucg3o6DrRUUEQwzHNegzAlhR3Ee3v1pHh6Z9xEKNq+pnPuMgts5YgaCmbh4yFjE6YP/eG8u2IWKcMirTIhGw2xQlQG3WFvs9bbfvzhcXt7khm4O/lPaSBIvHJJuXJ5i4uzDEZKdjcTeXK1RnrcNt778AO6d9V+M6NgbHdObIxgfQEFZMVbv2obP1y7Brk2rAePCWBY4ihYf6XAYVxxxLJoH0rxKD+iH9cthyoqjYmheRC92XbDPPtywMyXxwiG3Atjh1SbSNKkQDk4caBudMs5YdJkKh3/7lIUQACp7xK5to2jbJryzZT3w66FpUjC68gtReobw2F6DkFCLYxlX7dyKGasWQ5WXwbGb1CVCxCAVDsNY6jLA+ik4ceCT+Y9/26R6Z03mKhS4c7gCJQ9hRVOJq/YUFeIAjCI4tgXH5/vfl21FxbzvvihjoDNbomXywfeCS0Ih/GXGa8jN3QC3miuqhWhMzJVPA7CiqaDkIU1tfrjJ/GatjdTStekmaJUpjyMJ8XvEjK4ZWfBbB/eIVXEohEfnvInXfvgMFCqHnMItmgo2BtAq07XpJmsjtfSqjyRNIoSTLr/cNrYaz1qPZcfxKhciJpFhpPkTYR3ElpOFFWX46yev4u6PX4UqzJdNOkSTw44D1nqssdX4pMsvP/j5mAYW8SFs+/1k0dqhrsJN5EgPWIj9IxRWlMPUYJk3M+P7jStxx/sv4IGPXgYVF8o8sGiyyDFwFW6yaO1Q2++v/gehEUX8py3xwuFZru3eQUonyeNIQuyf0QqLN69FXmkhWianHrA27LpYsHkV5i7/EU/N/xRb1iwBLBtulC5WE7Gh6rGlJJf4jsQLh/8CYItXm8ZGHMErnILjevuczOYvkaXPZEcCWAgvOhzGEX2OxP2nTUK3Ztl7/drO0hJ8vfZnzF2xGN+tW4oftq6FuzMXUEqGn0VUIUuDHfd1a3vu+fnTF0X0A+8R3RN2MzLPJMKpEsBCVI9r25jz8zc4u7gAfVu2R/NAKsrDFcgtzsfG/J1Yk78NBbu2Q5WVwFgWTC0eZRIiUrHjgginuhnN3gbwild9Y4rYnnDw4tEtXb87F0p14GpsQSiE+B8dDsNYFmD7AeNChcsBw4BSMErLymcR9YgUYMwqXa6H5j/z8Wav+sYSsRNArt+5VwJYiIPj2nblblfhCsB14GoLrm3D1RLAIjYwG0Cpjq7fudertjFFZAgHrhx1EhOdKgEsRO0wQUJXxCxmAyY6NXDliJO8ahtLxA1HJ4wbnqQz9Dwm9PKqFUIIIaphkdnuHl46fXaxV2FDi7iesMrUdxCoq1edEEIIUR2KqZvK1Hd41TWGiArhwJRhhyumcwyxLNkUQghRJwyxrZjOCUwZdrhXbUOLqBAmtu82xFledUIIIURNGOIsYvtur7qGFjEhnDRl5A2GuB9RDfbcE0IIIaqBCGSI+yVNGXmDV21DiogQDl42rL1iuoxIJUfYOrGYRfy/LyGEaOqYASKVDODS4GXD2nvVN5RGD+HgxIE2LHuqIW4vjyQ1PmKALB9UIBVxKemghCQJYiFEVKjKmA6w7KnBiQMjYu1Ro4cwKHmMo/gYUiqit9CMBcSAFUjFpUediG+uux/b75mOf43/IyghIEEshIgKpJTlKD4GlDzGq7YhNOpzwsGJo1KMct9irYdJL7hxEQPNW7bDc2dfi6M69Nzz/5kZf/30ddz7+jQ4voM7LF4IISJJ1ZaWs7WrTsl/fEaBV319atSeMGtcxpr6eNWJ+qVdF53adceHl925VwADABHh5EOPAHxx+2ktRGQjZijDIGYZ0RH/o9CXNS7zKqtvjRbCSVeP7GhgzobSQekFNx4r7CAtuyNePv8P6Jy599F3u6UmJKNl687Qcp6zaEKUMZVrHBICoECw8p9x8SBmWGEHysh1J1ZV7iutgwbm7ODEkR296utTo8zDBu7MseCqK6DQDUZuTRuLMgYqJRVPnjkFPbJa77cuTlvo07wVNq35GYCcOysiG3HlftnJzbKR07EXerVohwRfHMpCIRRXlGPVzi1Yu2sblmzfhFD+DgCyv3ZMMgwodAPTFYE7c24qmjrL8WpSHxolhHmnPUixOZ61imfpXTUaAuOGEWfgqA4H3qbbUhZapmRUrvEXIsIRAelZbfHIyZfihF6D91lTEgrhjR/n4KHP38GKdcvALNehWMNsQFrHG2OO5532mwC+9GpTHxp8ODo4rrcPxp3AijpLL7jx6HAYXTsdgrMHjIDfOvC9mKU1mgeCMp8mIh4xwPFJuG/sefsNYABI9PlwwYCReOT0SUjJyALJDWZsMozKLHInBMf1bpSVpw0ewpyW0R/A6SAomQtuHMQAJyTh9lFno31ac69y2IrQLDkVMNJbEBFOWxjT7TCc1X+4VyUA4PB23XBmr8GA7ZebzBjEbACCAnB6VTY1uAYN4eCEnKBR+iTSOoVlUUSj0Y6DI7r0Re/sDl6lAABFCplJQcjIhYh4to1TDj3Sq2ovXbPayOr/GMbGgLROMUqfFJyQE/Sqr2sNGsKwdG8mjJe5xUbmhjGmaz+0DmZ4Ve6RnpSMxnymXAgvxAApC8O6HOJVupd4Ow6KZGVWTGMGE8bD0r29Sutag4Vw8NKxaa6PzyCts6QX3HiIAZOUjC5ZraGp+n/9ST4/4JchOxG5mICkhCS0TE7zKt2bvKljXlVvOMv18Rkp449J96qvS9W/CtcS2+E+UDhfhjQbF7FBIJiBYGKiV+lefJYPOrWZLGAREYtIoV0w06vsd3YVF4FlvYOofGTpfCTyoV6ldalBQjhl0phmhnAetGzM0diIgQR/PHy6ZgsB4+04dMpoCeXK35+IUETIDtawFwxgQ94OwAl7lYkox2wArYOGcF7KpDHNvOrrSoOEMOD0gqXHsSN3m42NCTCGazy/G4iLR/8WbQF5nlJEsAS75gusftqyBghVyIYdAuy4gKXHAc6BN0+oQ/UewlW94AkAErxqRUMgVITKEa7hJilJPj8ObdNJHlMSEc3U8OZyxY4tWLorF5AROvE/CYYwoaF6w/UewoDTiy01TnbGigxMhMKSIpSGK7xK96IVoVfLDgCkuyAiFDN2FtfsQJyXv/0EefnbwTVYpCiiG7su2FIN1huu13de4OqjM12FywkUEYcni8rhaCrMQ2FJkVfp7yTF+eEmydnCIjIxG8zftAqFFWVepQCAT5YtxNPffgIqK5GhaLEXAtmuwuWBq4+u+Uq/Gqq3ELb9fmLX7gWlz5RecGQhY7Bk63qEarjIyjUGCIe8yoRoNOWF+Tj72bvxS+4GFIdCKA2H93yVhEIoDoWwIX8H/j7z3zj7xXtRuG0zjKq3y6Booth1UZlddi/b76/XW7R6O8Ah8fzhqS6HrwAB0nGKMErjizU/46z87eiQ7r1t5W6LN6+GLiuDkyDT+yIysXEwZ/HXGLR4HqxAKlISk/fMExvjoKS8DG5xPsg1cLUCVL1eX0UTRgpQDibGXzxwIYA8r/qDVS+3gLbfT9AVnaHUGbKQJ/K4loW5v8zHj5tWeJXusWjrWvx91n/BcTVffRpLiH/7xdX8+n1bcXCYKtc+OEX52Ll1HfJy1yMvdz0Ktm+BU5QPA1QGsBAH4rowWp3JrDrXZ2+4XnrC9pXDEtxy53IokidaIhAToEMVmPb52+iQmY1DW7Tfb21RRTmWbFuP2997HhtW/Qw3hkN4dzBWbljCe/6diWCUgtI2oDRYW4BSUEpDASBFAAiaCPSr7RENG5iqEHYYQNV/w3VAxgDGARwHqpbsdpgAACAASURBVOpGlve0pT3/LnOZ+1f5s5EfkDg4zABpAow10b5y2M8ASrzaHAyq6fOiXmy/n/yXHtED0D8AxlfHLy/qkK6owBH9huKGkWegbVoW4iwbzIwKN4zyUAU2F+7EB4u/xbNffwwqzINrx876ur16scbAtTRgx4FsHyw7Dn7bhzg7Dom2D0GfH+mJAaQnpSAtPgmZiQEEE5ORHOeHrW34bBu2spAQ54ciBaUAx2WE3DAqQiE4bhil4RDCxqC4ogT5JSXIKytGXmkhthbmI7e0GCXhCpQ5IYTC//tCqBwUqgAZA1aVwbz7SwhRe5UfJRUC3H7lT335S7i8vM4Trc5DODhxoG1U4O9sW1fJgqzIp8MhsO1D+7ZdkZ0UhMvApuI8bNiZC9q+BbAsuLYd9Rd2ZRjEBlR5vijYnwgrPgEJ/gSkxSWifWoG2qY1Q5vUTLRObYY26VlonZKJVsGG2WbWNYwNBduxuXAHNu/agQ1527Bqxxas2LkF20qKUFBeiuLyUpSVlwFlxdCO86tgVtJjFuIgkdZQYfchMoU35j/+bZ1vrVbnIZx60dGtnUT7R0ClyhaVTQMxKoc82YCYqi7eCiaKF60QM5QxgDGAUuCkFKQkJaNFIB1tU1LRObMVumW1QpfmbdC9eVuk+OO9XrLRlDthLNu+ESu2bsTK7RuxOHc9NubtwJaSQuSVFKKsuACqrBgEBVYKRkkoC1FdRAqA2WWVm0Pznpq10au+puo0hCfNGkWv/Ievc2z6O2r4+IsQ9U0ZhnIrbzbchCQkBzPQPljZw+3TsgP6tOmMfq27ID2+ZodbRCLHGPySuw6LN63Bj5tWY2nuBqwv2IXNhbtQWrATurwUIAWjlfSUhfCiFci4159/in7gsZwZdReaqOMQTpqSk0Sk5gPoVocvK8RBU4ZBrgOAYQJpyEprhu4ZzXFIi44Y3KEHBrTriuaJKV4vExWWbduEhRtW4IcNK7F02wasytuODXnbgYIdINcFa0t6yY1k9+lk0T7t01QRAcxYqpIqBhbeN7fmOx0dQJ2ujlasxzNRNxmGFo1p9/A6uS58zbIxqvOhOKpzb3Rt3gbtUrPQLq3eN8GJSF2bZaNrs2yM6z8MALC5MA/r8nKxescWLNq4Cm8v+R4bNq6AVVEBtiwYpSWQ6wkxQzkOwAZs2UBiCkgRuCgfynHg2j752UcQZoBIdTPFcecDeMyrvibqrCccnDjQdnXyD0xokP02hfgtZQxUOAw3PhH9O/XGGX2PRO/sTuiYnoXslIZZQNVUlYYdLMldizXbN+O7dcsxc9ViLFu9uHLhntZwtfZ6CVFNVtiBmxzEib0GY1C7rmibloXEuHgoIuwsLsSMJd/ite9mg8rLonpdRhO1yHIK+9flAq066wkzJY1gQlevOiHqEjGg3DDIMOxmrXBe36Mwsnt/dMrMRtfMbK/mokqCbaF/q07o36oTxvYcjPPzcrFmxybMXbEIby35DlvXLgUxw1i2BMNBIgaggGH9h+GaEaehc0bLfd4cDutyKNITU/DYnHdA5aXSI44gRKqrUYEcAB971VZXnfWEk6aMfItIncBsZCsaUe+IAeWEAaXRv0d/nN7nKAzu0AOd0lsh2e/3ai6qqThUjnW7crEidyPe//kbvP7TV6AdWwBtw7Hr7B4+JpCyMLL3YDx4+mS0TT3wlMiuslIc/ciNWLd2iextHUGIlGE27xQ/OvMUr9rqqpMQDk4c2dGx8DWADK9aIWqjMnxDYNuP4w8bjgsGH4OuzVqjTWomtBxHV692lpZgQ34uvl69BK/98BkW/jy/cpcv6R1XS1wgDfNvnIYO1VyTcMObT+CJue8CFeXSG44sOzSrQQXTZqz2KqyOOrmVNYrHE+lkWZAl6svuni/7E3DWEcfjwiNGoXNGa2QkBryaijqSnpCI9IQO6JXVDsf3HoyVOzZh+vzP8MrCubB2bAbbcbIn834oZeHEXoOqHcAAMKBNVzzjmwmnogyy/WbkIFLJht3xAKZ61VZHrUM4Y+IAm3XKmcwmdvY0FA3KCjtw/X5cOOwUXHzksWiXloXkuMjdPCPaWUqhVUo6WqWko3+rLrh2xGmYvWwBHvnyA2xYvRhQspDrd7SFkV36elXtJTutGSzLgsuyR3gkYTY2iM4M3Dn8rqKpsx2vei+1DuFyK+VUBdWCYeRtIuqUrjpu7sxhJ+GqYaegQ0Y2EmJo/+qmIBDnRyAzGx3SW+K0fkdj4caVeGLue/hwwed7/v4EwNrCoa06eJXtJTk+AbbWqPAqFA2NFFRLsx2nAZjuVeyl1iFMjPEgJHnVCVFdlatIFY4fPBJ/GDUO3Zq1Rpyu9VtV1CNLETISAhjZpS+O6NAL3xx9Mh75/C3MWPQ1EC6P+U0oiIDMQKpX2V4qnDBcU/s1O6JeJBFjPBo7hFMnHtMDNnozoCDvFVEHNBQGdOuDO46/EIPadoWtZFizqYm3bAzr1BtHduiB5ds34vHP38UL388GlxTBIFbXjRCS4hK8ivaSV1IEx7gyFB2BmKBA6J08ZVT3wkdnLPGqP5BajRWxwllkKE0WZInaUgBateqMJyfchg8n3Ysj2/eQAG7iLKXRo3lbPHzmFCy++QlMGXUW/Cnp0KpW9/5NFKMsXO5VtJdFG1ciVFEOWZQVeZgNyFAamM/yqvVy0CEcHNfb5yg+nhXV7PZOiCrElW9ASkjGqYNHY/61D2Bc/6GwZVFP1GkdzMA9J16Epbc8jevGnIPE1OYgy1c59RAjykIhr5I9KlwHby/+Bigrlp5whGJFCYb4hOC43j6v2gM56BDmtPTjFZNsSSQOCjFAtg9d2vfCaxfehOfPuxGBONlkI9plJAYw9dgL8MstT2Li0acgIa0yjFWUz32ycbF211avMgCVG3Xc8f4LWLB+BSDzfJGuJQUzjvMqOpCDHhdytXUKwGmog80+ROyo7P0SEjOycMnAkbhl9LnwWwf9NhRNVHp8Iv52yqW4Ouc0/GXGK3j9p69QWrAL5ISicocochy8Nn8W2qdnIc6q7DgxKoc1XWNg2KA0VI7l2zbg8S8+wJzF3wDGifkFbZGsaho2PWzrUwG86VG+Xwe1Y1bw0mOaGx9ms6bubGQ+WFSPMgzE+TG4Y29MPW48jmjf3atJg2PIDFxj+CV3He75+DXMWLYApQU7oIyJujAmBjq064YOwWZgNmAwysIhlDth5IXKsHbLOqiiApDSsiVoE0FKgVxeokIYnv/UJ7le9ftyUCGcMnnUZS6Zu4lUhizKEl6IAWKDpMyWGN9/OP503HjYEfDIkWHGrtJi7CorRmFZEXaVFmHTrh0IxMcjPRCEJo2QG0ZBSSGUspARSEEwPhEtAumyU1c9mbXyRzw8+03MXf0LwgU7AFBUbYmpXRcwZs+dHlVN+LKiqrOco+fPGguIFJjNDs3q1oJpM570qt+XGodwyrhx2s3c+RoRTmOWToM4MGUYRhF6deiF20adheN7DfZqUu825u/E2rxc/LhxBRasX4kft6zD0i1rofN2AIqA3fOTSgHhMBAXB9YaZICErFY4ttMhuGbkGejVot1er1tYXo7tJfkwzAj445GZmIyQY1AcKgMA+LQFv+1DnCw88/Ty97PxzFcf4vt1y0FF+XAtSxYoiYhEBGbGG3p7+lkF06e7XvW/VePuiMnY0Qmg7lCa4Nb4+4kYol0HJiEZJx1yBO4+4SK0q8G+uXUt7LpYsm09Fm5cgXcXf4uPFn8LVZgHIgJrDSgFJ2Hvhf7adcGpGTjvsBxkp6TjifmfomDzWryxdini4uJx30mX7FlM9tnKxXhn4Rf4JXcdXGZkpaShT8v2yC8rw9bCnWAAib44ZCamoENmNjKTU5Aan4hAXCLibR+ygxnQ0gva49z+w3FCzyF46st38ehXH2B77gZo15XtMEXkqczC7pXZiGVe5b9V4xAGcByAbET5akZROzocQlJWG1wxeAxuGn0OrEaa3ysOhfDDxhWYu3whpv80D+tX/QyGC1g23Li4/bbTThgcn4grh56IPx1/ITQpdMzMxuT/Pg7HOHhv6QLcNKoYgTg/nv/mY1z39jMwO7YCVSc5MRjvGFMZ8nuGHgEwA2zgBFLQLL0F2qdkIC0pgMOyO6Jnyw7o16YLWibXbGelaJXs9+P6EWegX7tueObLD/D+L/NBeTthtIqqIWrRxFVmYTYqs7HGIVyj4ejUC/omusmZ/2VNo1h6wWIfiBnacXHSkWNx7Ygz0KdlzfbLrSvbS4rw+Jy38emKH/H9+hVQRXmVv1A178ak9jm8aYUdOLaFoT0HYdLQEzG6+2F7bRoy7tl78OH3n4LCIXxy+zN4Z+GXeOjT10GhUI2CYfc8OTGDDIONC+OPR9d2PTB9/E3omJHl9RIx59sNy/Hv7z7H4/M+hC7YJYuXRMQgrUEuz9CF20/Ne3FBiVf9r9XoXewGMvoZmLa1eLxYRDHtumA7DpPHnItJR5+M7OQ0ryZ1bntJEf71zcd47+f5+HbVYqiy4soPCAi+zBbIDmYgtygfxfk7oEuLAGYwKRAbGF8cOnQ5FBcNGI5RPQahS0aL373+0M698cGSb6Dyd+GmN5/C/PXLgHC4RgEMVJ6Kw7vPP9YAYIGMwYqVP+KK6Q9h2rir0Hkf3z+WDWzdBd2btcHwrn0wbe7bmPvjVyCGHBIhGh2DwTBtEcjoB2CuV/2v1SiEiXkECG3IGHmEXOxFh0Ow0rJwz/EX4LwBo5Doq9UmMjW2o7QIz8/7CG8tmoefNq0GFeYBlgXXtmGFHVBqBh48+XIckt0OJeEKFJWXoaiiGLtKS1BSXgJLWWifkYU2qc3RI6vtflccntl/GOavX4o3FnyJ75d8DyiqsxWtTICrNb7++RuMf+lvuO/kizC0fS+vZjElEOfHsT0GoEvzVni/Sz/c9cl0YNdWuJacriUaT1UmtgEwHDUM4WoPRwcn5PjdBDUdlj5RhqLFr+mKCmS264p/nHgxju81CJoarmdSEq7AY5+/jVcWzsWq3I1QhXkwWu/pmVphB3ZGFh4+ZSLG9T8aah+BaZj3+f/3Z2PBTrw8fybu/vhVcGn9bCuoXYPMVp3w0EkX47heg7zKY5JjXPywYRUenP0GPpg3A0ZT1D1bLJoO0hrsum9bJeas/OdmVXuj8Gr3hJ1EHKaYOkkfWPyaVVGBw3oPwh0nXIQj2/fwKq8zhhlPfPkenpw3Ayu3rYcuLAD03pscWGEXlJqBh065bL8BDKBGAQwArVLS0Twp+L/h5HrgaoVtm1bi6refRkYgiEFtu3o1iTmW0hjYtgseOH0SRvcYgOvefhrOji1w5cxp0QgYDMXU2UnEYQC+8KrfrdohrI060lXcjgxJDAsAgBUKYezhYzD1uAvQrVlrr/I688q3n+LBL97Dkq3roIryAUW/W6SjDMMNpODhUy7Fmf32H8AHK2Qcr5JaM0ph65Y1OOPFv+Dqw8fi+hFneDWJSc2TUnD+gBHo27oT/jbzdbw79z0Yy67xPL0QtUEGMMTttFFHoj5C2FXoS1onyFC0ACqHeXt264e/nTIRrYLpXuV14t3FX+Mfs/+DBRvXwBQXANj3ohxigIlwzwnjcd6AEbDq4UjEBMsPpXSDnI6bt3U97vzgJby9+BvcOOJ0nBABG55EGkWEQ1q0w4OnTcHo7v1x9ZtPwdmxGa7dsGsTROxiNiCtE1y4fb1qf61aIRycOLaF1qpjQ1xwRGSrfLSGMfCQIZg27soGCeA5qxfhno9fxby1y2BKiwBj9jsPSwwo42JY36G47IgTYNfT2bVxtt1g28UxASgvxYKVP+GcTasxoHUnXJ9zKo7rKWH8W+kJCTinfw76t+6Cuz58Ce/P+xjGsutl3l6IfSFGx5SJR7coePzzLV61QDVD2LUr2jGrdmTqbw5MRD5iAEphZJ8j8fhZ16BZYrJXk1qZv34F/vzRvzBr5SKgrAQwbuXF9AAXVO046NDlUNx70kWIq8fTmV774TO4JQUNdnFnAsAGVFKI+csX4qy1S9E9uyPuP+USHNGuB6iOh9ubMkWE7s1b44mzr8Mb3frj2reegVu4QxZtifpnGExoZ2zdDkC1Qrhaq6MDV448H9p6gR1HPukxTJGF0X2OxPPn/6FeH0H6ees63P3xq3hv8ddAWSlMNQd9tesipUU7PHnmZIzpdphXeY1tKSrAy9/MwCs/zcHyDauAcPUPaa8PRAC0DzeNORfXjDgdifb+dwCrD4UVpVizKxeHtGjfYKMCNcUAlm5bj1vefhazF3wBR3JY1DOyLIbrjC96ZOZLXrVANXbdSBl/TDoMD0KD3fOLSKS0jbF9h+JfF95cLwHMAFbs2IIr/zMNQ/5xDd6dPxOmrLjaAUzMMIFUXHfUcfUSwADwyOw38Kf3X8CKVUsaPYCBqh0wnRD++s4zeHLuuwg3wGKxX0uw/Vi2ZQOG3H8N3lz4BcodB6YaN/UNiQB0b9YGr064FfecfRXiAmlQkfVbFFGHiRkDg5ceWa3dijxDmJOQzUQDZa/o2EXawpg+R+CVCTfV+QlADGBnaQle/OYTHPb3K/Hip/+BKSuq+Qp8rXDaIUNwzfDTvSoPyqKt6/DmkvlQ9fRccG0wCFPffxHz1iz1Kq1TllIY03MA+rRohwv/eQu63HspHpv7Njbm74QTYeeM+y0bk446ER9NuQfpLdpBgyqnV4Soa4ZBjIHGF9/KqxSoTgjDtCbCoZBzg2OSIgs5PQfhpQtuqvNNOHaWluCtn75CzmN/xFXP3gVTlH9Qp+Row+jQuivuOG68V+lBe2nex9i0eS1cq+a/v/pmFEEV5uGNHz5HQXmZV3mdSo6Lx/XHjENqq84o2LQat77yAHredzn+OfdtrNi5BaXhsNdLNKgB2Z0wc+JdOPaw4YA/XoJY1D02YMKhDFOt5zYPeFUN5Ay3oHQPtixfhI0yiQZApHB4t7547aLbEKfrbpHTrrJSfLJ8Ac5+/i5cOO0mrF31M1zbd1A9TGJAJafhhqNPRrvUZl7lB2VHaTE+WvETqLy0zraorHNK4/tNq7GrtNCrss51zmiBvx0/HsqKg9E2TFE+bvvX/Rjw9ytx+7vPYP7GFSgoL/V6mQbTMaMFXr3wFtwx9gIEMlpUrfj3aiVE9TADsK04KN0jkDPc88J5wBBWXdyWZHgQSQLHpAFd+uD1i6civo725S2qKMdXa5fiytcfxmkPXodvf/waru07qN7vHlrjuO79cf7AkV6VB23uyoVYu2kVTB39HOoDwyA9IQm+OrxZqokRXfvj9MPHQjnhyj2w4+LgFubhmQ9fxoi/XYUb3vgnvljzC3aUFnu9VIO5fuQZeOWCP6Bvl0MArSHXOVFXqk5HG6S6uC29ag8Ywq6lmwMYAFfenLFEGYMeHXrjpQv+iGS/36vck2NcLNi8ClPfex6jHroO73/5AYzStT6KjhhIyWiJm0ef7VV60IpDIXy2YlFEzgXvRly5cO7YngORnVL/z23vS1pCIi458ljY6VnQbuXUFRPBiYsDO2H8+/O3Mfb+a3D9G//E7BWLsK2k4Xvs+zKsY2+8edmdOGvwaCAxBUrWvoi64DIM8WGKdXOv0v2GsO33k3apLduqDct8cMzQroMWrTvjxfNuqJML+rLtmzDt87cx5p+345mPXgaFQnDqanW17cPF/YejZ1Zbr8pasbVV9TxQZCJmmOQ05JcU4b2fv8VnqxZhe0mRV7M617tFR1w39ET8dmNbJlT+nRuDt+e+ixMfvhY3vPkEZiz7AblVO581pvT4AJ465zr8acy5SM5qDS27AopaYjYgS7d1tWpj+/0HvHjoO+64Y5+/8MDyNxJdf+LpbOmhiLCVjqJ+aCeMlJbt8MoFf0Cflu29yg9oY8FOvLf4a9z63vN4/bM3ES4vhbHtA260URMKQFZWGzx9zvWIr8cN+31aY2nuesz+aR5MPW7+URtMBFSU44tF8/DfLz7Ay9/PQm5pIRiEvPIS+CwbSb7aj2h4sbVCamIy3lmzBGX5O8C/3RyDAKM1iIHla5dg+g9zsLEwD3G2jWBCMhJ9Dfuc828Nad8D3TKz8UveNmzflQsC1dn7VcQgrQHDy/2dE7+56ZSJ+12huN8QvnvWf1oS1CUgdIbMlUQ9K+wgqVk2njr7GgzveIhX+X4Vlpdj9sqF+NvMf+P+D1/EztzKU23qfEGT5cPNo87BsE69vSprZdXOXDzxxftYu2UdTCQfHk8AWxbY5wMxsGTNL3jzu8/wxrIfsG7HZiT44tAho2W9Z0pqQgAmHMKcX+YDpPc9hE8Aaw0yBsvWLsW/f5qH7cUFiI/zIyMxWK87nXnpnJmNoZ0PxYbifKzatgnKccByEIQ4CEQEZi5mf8LsW469YL9DPvu9qmhXpRmYfhLA0U+7DlRKOv5y0sUYe5AbXTjGYO7qnzH1/edwxrP34MN5HwMGcOxaLLraDyKgWWZLXDh4tFdprZQ5Yfz7+88wa8HntZ6/bkhMqFrwplC6Yyv+O+ddnPXiX/H5ykVeTWvN1hrH9OgPldocyjnw5iGVv08bCFfgtTlv4rRn78bU957H7FWLUOY03qNNXTJa4Jlzb8Rlw04BktOgI+wxK9FEVGZnX+2qA27asc9tKwN3Dlc61zrTibNehbwBo5p2XcSlNsez516H43sO9Cr/HcOM13/4HK9+PxuzV/wIVZgPo3W9HiNH2sKzF96KM/oe5VVaK8WhEG5/91k89+FLcPzxXuURLzUzG6f1Goz26c3Qp00XDGjdDQn1MJTvMuOif/0db3314T5PudofYoZ2XJikZAzq0AMnHTIE5w84Bin+BK+m9ebzVYvwlxmv4csf5sCNa9zhctEE2Tas8vA5bpY7vWjq7H3O6+7z9l5vsQNGc799/ZqIHto1MIkp+Pspl+C4gwjgFTu24M73X8CMZQtRkbcNINR7j1FBoXlWG5zQe4hXaa0l+XwY0a0fXvzuU7iFu+p+SL2BFeRuxDM73gTik5AeCKJLejMMatMN4/oPQ68W7byaV5smwnE9BuKj5QtRvmNztR9BY6o8F1qVFWP+T1/j63XL8f7ib3H18FPqbStSL0d37I3mp6Xh4dRmePnzN8FUvzeYIgoR9dFb7A8A7HNIep9zwve991Jzo/gKImovw9HRSRkGLB/uPuViTBg8pka7YZWEQnhw9hu4+b0X8M3S72BKi+Bq3TAhRYQbR5yJozr18qqsE61Sm6GorATfL18ArodziRsSE1U+vxgqR0VBHjblbsS8TSvx/vIFWLp5HYZ07F1ni9zaZrTEFyt/woYt68DVDOHdmAhGK6iKMmzM3YiPVi3GL1vWoE16Flokp3o1r3MZickY3LE3khKTMWftUqiKsib/XhANg4hgYMqVoY9vOv78fYbwPq+8rFQygH6yX3R0qtwhyODasefgsiOOh12DC8rL38/G6Mduwl0fvYJNa5aCGNXu6dSJuAScN+gYr6o6k2DbuOjwMQhktYmKuUGmym0uHbvqOe2KcmxftxL/+vJ9nPjE7Zi5fIHXS1RLks+HEZ0PASenHvQmGEYpuFqheMdmvP7NTJz89J244c0nsbU436tpnUuPT8TVOafjqfNuQErLdtAVFV5NhNi9j3S/qkzdp313f8hkmTgrKM8HRyflhHHe8NNw9bDT4K/mLlDfrF+Gk56ciimvP4qflv8IKi2CY+9n9Ws9IQZOOfQINEtK8SqtU10zszFx8BiYpGSoKHtcj6ly8Ry7Dn5csRDnvHAf/vXdpzU/QGMfTjj0cGRntIBya3e6k6s14DrI37oeT855G0c8dAMemPUGnAbuJMRpC2f2OxrTx9+Mw/seKUEsPDEbmDgrVRm3xf5qfhfCKdcfEe+S6bOvYtH0WaEQjhsyBn88ZhzSEhK9ypFbXIArpj+M4x6/HbMWzYNblA+jqFHmxZRxceHghusF/9o1OadhVM9BYFJRuc8wU+UwcHnedlz52iN4Z9E8ryaeumS2wmEt28Nou9Y/M6bKMOZQBbZvWo3/++AlDLr/KryxcI5X0zpFAIa07YbHzroW5x1zBqywU+s/m4h+rkbvwLjD97m683chTCXpicTcV8lWlVHHCjtIatEWN48+C21SMw9Yy8x4YNZ/0Ocvk/CveR8hlL+z8q6uEcIXqOwFJ2VkY1DbHl6l9SLJ58edY89HVnYHaI9Hb5oyoxRMST6ue+cZLN++2av8gAjAyC59Yaekg+poVK1yOF0BZcVYtnYJJrx8P4574jYs2LTaq2mdap/WDH89eSJOO+oE2XdaHJByGQzTX6dm7LPX87sQdv6fvfsOs6K6Hz/+Pmfmlu2NLcDSlqU3KYKAgAWMKPbeY2I0liSaRL8xphoTY0w0xp9Ro7H3nsTexYKgNCnS29J2YXu/d+ac3x9LW7bMXbbdXc7reVYf7v2cgXt3Zj5zuj+UoIUw84O7GakUIiWdW2ady6ieza+G9fqKBYz6y7X89n+PUVGUj3ZCnZZ895LK5byx0wi28+jr5ozs2Y/Lxs5AxSd265uua9kUblrN3LVLcFuZPGcNm0B2Ug+k27rjHGxvN4iuqmDu8q+Yfs/P+fGL/69Dt3KM8/v5f+f9hFtOuRwRm2jWnTYapzVSi3GOP5TQ2NsNkrBd7SYIyxqsu1nf1+FMaA3BOK6dehJXTZ3TZNyaXds489+3csEjf2BL3hpUuKZD+3ybpRWnjpnSolHc7eHHx53JkJ79u13fcANC8M32jVTWhrwim9UrMYWRmdntNnVNC9DaRVeV8einrzPiz1fy+IJ3vIq1mRifzY0zz+Xpy/6PhIzeJhEbDWilUD5rsF3teifhhD/cKoVUg5R18KKvRlclNGD5OH/Ccdx2yuXIg6YRaaCkpopfvfEY4+/8Ee8vnouurSaaUozQYKdkckTvgV6h7S4xEMNF42ag45O6fV+gFNAWH3J67iis6wPm+AAAIABJREFUuKR2bz3QyqFk9w5+9PTfmXnvTSzcuq7VNflIWEJyysij+PDa2xk5aAxCdOBsAaNLUJaU2Co34Q+3Nsit9V4Q6z6PCfvEqPa+WIyOIxHMGDGRv597bYP3KkMhnljwHiP/fBX3vPkUuqosqpLvXlK5zBk+kYDVRrsvtdIVU+fQv0evBrsFdScCOCI7l/g22FRh6sARJHVgE75yw8xftZBj77qBm155kG2lhR2SjIek9+bda//MSWOnIX2t/96M7kNojRZitFj3eYPBWfWSsE50g8BoYZpUugWpNT37DOSvZ1xFrL0/gVWGQny4bimz77+Z6x7/M2UF26On2bkRQjlMGzQSvx0dNYz4QICLx81AB+PboqIYVYQGS2lGDJ/A9EFHINug+X9UzwFkxSd26HelhUCFqnn4/RcY99cf8ei8dyiqrvIq1mrxfj/Pf+9XXDHtVERsx35mI3oJpVGCUSSWNtjOrN4VJl2CwCgzKKvrExp0XBLXT5vD0Ize+17fUryLG1+5n9Pv/QXfrFxYd7Pq5EFXnoTFlH7DsDpiRa4IXTF1DllpmR1Wu+sIQgMCRgwawyMX/ZScVM/9yCM2JrMfuhNqh65lUV2Yz8+evJMz//Vb3l+zhLBq//2C7zrzKm6fcykxKend6hwxDpHWaMFo4cY3n4SVRRzSyqUDmm6M9iW0Jj4Yx9F7lnfcXVXBq998xmkP38ozH7yEdsLtNlimLQmtCWZmk94JyxU2JzU2jh9OmgVxCd1iMM7eBDx+8FgevfinDE7P9irSIkf0GYgOxnRKzVBJgWtJlqyYz+n3/5IHPv0f20oLvYq12nXTT+eRC24gNauvScSHO60QQuYqiwbTlPYlYV8wKFEM1LY0FeFuwlUOG3ft5LONK7jhpfu49MHfsWH9NziBQFQ3Px/IclyO6p2L34q+B4afHnc2V009iZi0rLopYF34uhFaMX7wWB44/8cMaeMEDDC81wCCgWCnJiPH70fW1vLrp+/i8qfv5N3VC6kItW70t5c5Iyby3yt+Q+6A4dQtF+tVwuiOtAbls7BcOcAXDNa7++7bwOHOXfP8KPdEIeWJdPfpF4cBLQROqJZXVy7k6S/eZu26ZWjLRnXkOs9tQLoOpx15PMcMPgI7ygbtCyE4Yeh4cntksqqkiN2lhUjldsxGFm1IKkVSZh+evPhGRvbs5xV+SOIDMTy24H2qK0o69fup2xzCYse2TTz/zTxqnFqyUtLIiE/2KnrIshJSOHH4kXyzcwtbd29HKN2p34HROYSUWGH1tZw0aPEvZ1+0r09k311Nu9U+LRhqqsHdh1YuurwYHaruUrXfepTL0Kxs/FH88HDG6KN5+fu/4vzJJyITe2B14ob0LSW0JjGzL3edegVjeje/iEtrpMclEh8IRk1N0PH70aFq7v/fo1z25F95buHHlNW230If/ZPTefryXzFnwnEI24/ltn+/tBFdhNI4lh6i3ep6C/bvS8JSOz5Ly6EmB3cvSoou/9Sdk96zwfzmaNMnKY2HLryBO069jD57mh6jneUq7IQUbvvOhZwzdppXeKv1ik3EtaKnNUMLgROMYd3ab/jBk3fw+9cfY+G2dV7FDllabBwPXfhzLp02Bx0bjx3uvsufGg3tya1DpHYaT8JWNbZGD+nMPhvDOJgKBEmN6dhdk1rjqikn8/D5PyGYkhH1A7a0lBw3aDQXHXm8V2ibyExMQcjo69t3fT4Ih/n3289wxbP/4MmvPqC8nWrFcX4/fz3zh9w48zzslB5Y4fbtkzaih9AagRhmVVPvItjfHO230rQts8z2hUa0kEphJaRitWC/42gwutdAjhkwHBnFTY5SucSlZnLt9FPxdVBTf2Z8CsKyorKVQAtwAgE2rF/GNU/czskP/prnFn7kVeyQBCyLX8++mBd/8FvGDz8SK2S2RDwcaK3Qtuyp/G7aga9LqFuu0vX5c4juFj/jMCM0JMTG0tVWUXWViy/qHxwEwzOymZoz0iuwzSTHxqGj/HtxLQsUfLPia67/z8P89JUHKKgs9yp2SI4dOIq/nn01x0w4BrudR2kbUUKAa8f0P3D5SglgbXvdElrndONV+IwuSZMcmxh1o6IjoaP4YhIadEw8x+SOJtCBU7+SYuIQUZ6EYU+t2GdTtXsH//74NS589A/8d9kXXsUOybjeudx5xg85acpsrHA4KlsJjDakQQgGWtte33chSAA3kC4VKseMjDaiiVCaZF8Aq4OaS9tSNDcqCa1IiE/ilDFHeYW2qYDP36UGCSopUa7DgpULufLF+7jpPw+3y7ziwem9+csZVzJm+AQsxzGJuDvTGq0Z6AbSD6oJ11qW0OQ2XdIwOkecP4DVxXal0WhqnCge+Sosjsjqy6ieOV6RbSrGH4j6Ue4H06JuhkHV7p3c/9ErnPbgr/lw3RKvYi2WnZTGvy/6GVPHHV03gMck4u4sx6q16teECRdbWtA/ilvQjMOU37LpYvdttIZaFUJH4ZrcQmtEfCKXTZzV4Wtxx9p+aIMNITqDkgLCIRasWsiFT9zJb958giqnbWvFg3r04tGLbuKUSbNASpOIu6O632kO4eKDkrAvRgrNIDMy2mhv8jBYjU2jCYWidMEOKZjSfyhndsC84Ia6dlbRou6nsjCfe955jlPv/xV5pbu9irVIRnwi/zzvJ1xy9CkI22cScTejtUJoBuGLqd8cjQqlYlsNdncwjDblCzBtzJRuv1qQqzW7a6uItp5hoSEuJZO7z/php4zernUcusPmMFqAckJ8tWoxx/6/m9t80FZSMIa/nfVDfnjMGRBFq4wZbcS2gtRW7NuRRvqCQaF8vmwzKMtob+lpPbnrzKvRVmRP+BpN0PYh6FpNmEopiirKo26ZUF9iCs9cehNDM/p4hbaLrjQoy4sW4ApNwY6NXPTv27j+pX+yuw2nMsXYPv502ve5ceZ5EIyN6HoxugitIRCfvXcjBxm8ebLQqM65Ko3DhrBsThs6nj7JGRw7ejJWBAOXBIIaJ4yma9WelFaU1lR2StIR0kbY/gN+Agh/kGkjJvHxT+7kuNwxXodoN64bpqs3SR9MAdoJ8eiHLzPt3pv4dMMK3Daq0NjS4jcnXcLvZl8CsfFe4UYX4tiqT/DmyQLAliszhOpRaJKw0a6EtJg1bCyxPh8XjD+WT776EPCeoxpyHXQb3dQ6SsgJ45YXd2gSlkAwOZ0rjprFzCHjifEFAIjx++mdnE56bELzB+gAVaEwOsqX8jxUrhRszVvLyff8nF/NuYwrjj6V1JhYr2IR+dnMc4gNBLnpf4+iq8q8wo2uoY9cmVGXhNXwXYIC0aebPaAaUUZbPqYOHA3A5JwRxPUeQEX+Vs8F/WvDIbrafXtTUQFWOITj93uFtgnLVaT1HsDL3/0lY7MHeoV3mupQdZd7oGoJLUC7Yf704j/5aN1y/nbWlQzL6NsmIwOunnYKcYEAP3rlIVR5cdR1dRgtoEFo3VcN31XXHG3tqBAg+nqVM4zWyErNIDlYVzNIj0/mykmzwGPLPy0FxbU1OMq76TpaKK1ZX5DXYTdJoTU6EODvp10R1QkYoKiqAnT3HpQHddskfvHN50y56+e8suRTKkI1XkUicunEE3j0/B9jJyRH/eYgRvO0ENl1uRckxdVCC7LoYv1uRtchhGRq3yH7/hzr8zFn1GR0fKLHzURQWF2B43adc9PVirySXXTUyGgrHOaUsTOYOGCYV2inK64qR6vun4Shbg1qt7yQ7z34W37/xhPklbTNVKYzj5jGQ+f9GCsx5bCY7tc9KYBeFFfXJeHyEcMRmsxu3EpkdDrByJ71G1sGpPXi7COPQzSz4IEWUFFTiduFbtyuVmwpKkB0UBLGtjl5xFFkxSd7RXa6oqpyhOt2WCtBZ9NC4FqSf739NBc89ifm561tk16/s8dO5/5zrsOfmNrtp/t1R1qD0GSUjxgOgEzYuEtqQQ+PcoZx6ATk9Miq91JqTCznjT8G6Qs0Of1CC4lbUYbbheaWuq7m2/ytqA7YvN4OO0wcMYkJ/fe3MkSznWUlcBgmDdfnY9nqxcy+/xaemv8+JTVVXkU8nT/+GP5+9tX4k9Oww12nu8aoowU9EjbukgBSKysOaJthfIbRKEFueu8Gr47M6s+U0ZOb3NhcCxDVFVSF26ZPrSO4SrFs52Z0Oy/PaLkuKj6BX8w6j8E9enqFdzqlNVsrSxFd6IGqLbmWhVu8m2ufupM/vPkEa3Zt8yri6eIJx/O3M39IICUdKxylK7QZTYnbk3uRKlHVr6IYRlsTgv5pDRNFr6Q0Lhp/LMLXzChirdlSuKPp96NMfnkRoqSwXZtchQYsmzPGzmB67iiv8KiwrXQXNU08bB0uXEuC6/DQ+y9y9XP/4NONK7yKeLrkyJncceYPiOvR0yTiLkbGkAkgESLTK9gwWsWySAjENHhZAEfljGDs0HFN1oaRFqt25BHuIiOkl2xd5xXSalIpBuYM50fHno7dCctPHorVBdupDtXQUQPWopWSAiUFC5cv4ILHbufhL99uVfO0AC47chZ/Pf0HxKWbRNyVhG29Jwm72tSEjXYVH5fU5K03JzWTnxxzGsQlN943LCRfbPqW6lD0J2FXKz5es7Rd+4PtsENKr/48cPa1TOjddXYf/XLDCmqqO2cVsWjk+CzKC7bx06fv4rxH/si7qxZ5FWmSEIILjzye5753C4MGjsRuhz2PjXaRBSC1IPqHVRpdWmpCCs2ZkjOKOWOmNFobVpZk/tb11LrR/4SvtObLvLXt0h8sNFjhEMH0nvxh9kVM7DvYq0hU+WbHRkRtVbs203c1rmWB6zJv+TyueOFe3l290KtIs6bnjOL206+g94BhWB5z8I3OJ/bkXimEMEnYaFdpgeY36EqPS+TccTNQMXGIg+bKKSmpKthKfllhE6WjR63rsGb7xjZPNFY4DFJy2tEn8+oVv+X8cTO8ikSVytoQq3fvRByGI6O9KCnQQlK6YxPff/pu7v7wZcKtmJJ3/KAjuOPU70NiqknE0U7pPUlYmSRstK+A5d1veeygsQzqM6jxPi3XZWHeOlSUT2ZfuXML1FZ7hUXEcl3sUAg77DB2xJE8dPnN3HnG1UzuPxSf9F5zO5os3r6OwspS0xTdBC3qasXl+dv43ZtP8MNn72ZnRYlXsUZJIZg9/EhumXUeOj7ZzCOOYpaWyQC20DrlMB8rYbSzWL/3VtWJwSDnHzGVP+zcjKyqQMkDTkoh+WTdN5w3bgZB29f0QTrZkry1XiERERrSs3M5e+QkvjN8AgN69KJ/SoZXsag1b91ySivLoR2a6bsTx2chq8p5af77rCjYxr3nXMOR2YO8ijVgCcE1M86kOhzib++9gKytRHWRAXyHE41OAZBaiOY77AyjlUIRPo3/4OhTmDxwBMKtPwjLtS1eX/4VToTH6SxL8ta1SVO0jE/izR/8jl/PvpRjBx3RpRMwwOebViIro29/5WikpES5DsvXL2POA7/lqa8/8CrSqHi/n5/NPJ8fHXcmBOLMWtNRyJXUJWEldKJXsGG0RriZpSkPlByM5QdHnUgwo3e9ZjQtBKHinSzbuanpwlHgmx2bvEI8SaU5/4hpDM7oTVwH7cLUnlbv2sq3u3fCYbpIx6HY+7BSXZTPtc/cw89efRDnEPqJ4/1+fvmdi/nh9FMhEGww3sLoXFKLBKjbhjTgEWsYrVLjRD696PQxR3PysAko21dvypJG8L+lX6Ci+Ga+smCrV4g3y+ZHM073iuoyPl69hILS3e0yYry7U1Kgait56OPXOOXB3xxSP3Gc38+tp1zOxZNOgGaWiDU6nhI6Bur68ZO8gg2jNYpbMFjJlpJbvnMhfbJzkQc8/SspeWLRR4SidEel3ZUVOJUVXmHNEgL+ct6PGXbQZhdd2furF6NLC+v38RsR00Kg3DCfrfyKCXddz/wtq72KNBC0fdxzznWcOnY6IorHVByG6mrCWtP127yMqFZSU+kVUs/AtCx+PHUOMiltX1+WFlC2awcLNq3yKN058krz0S3cDlQIiE1OZ9qISfzohAv44hcPceXUk7C6Sa1x/pbVLMnPM7uktgGtFSUFW5l17//x+Pz3WjxTwGdZPH7JjRw7YiLC6lqj67srIepaoaXQOt4r2DBao6yyFN3Cm8YPjz6Jk4ZNQNv7E5IGHp//dtOFOlFRZRkt2afOdlzOOWo2y2/+F29d/UduP/X7jOo9ANmNpvG8tfxL8ndtx7W7x0NFNFDVFVz3zN/46csPUN3C3ZNsafHs5b9i/MDRCDNauvMpXVcTllrEecUaRmuIUIjyUMt3QrrtlMvp3Wsgck9y0wJeWDyX3a1s9m0Pu8pKvUL2kUqRPWAYPzv+LDLiErzCu6T8ylLeX/sNoqrMzA9uY9p1ePjjlzntX78mr3S3V3g9sT4fL17xG/pmD/QKNdqdiIW6KUrmkchoVxpNXknLbhYAA1IzueX4c7ESUvYNKBE1NTwZhbVhR0c2elVojY6J5/Y5lzAiq79XeJf12pJPWbFjC9oyfZDtZd7KBcy49//4fNO3OCryNv/02Hhe+e4tJGdkm4FanUggbKibomQ6CIz2pWFLUb5XVKMuOfI4Lh1/zL4BJQrF3z9/o0UjrjtCpKtYSSfMeeNnMHnASK/QLstRijdXfIUqzjcDstqRFoLCbRuZ88Cveebr96lowcYNQzJ689wlNxE4YNyF0eHk3v+Y5mijnWk27D70Tcz/fPpVjMvZn7SKdu3gxUUfN12gE8R5rI8NdXOApR1gQr8hJAe772W3bOdGvti8Gky/Y7tzLYkqLeTaZ/7O7e88xY7yyLtFjh4wnPvOvgYRm2AScSdQom48lhkxYbQ/DWvyDz0Jx/hs7j77KpJ79ERoEEpxz6evU+tGT224rKr5fmqpNEJKZk04hosmzMSW3fPSCyuXT1YvJbR7OzrC1gGjdVzLQoRquPftZ7n+xftYsyvya+28cTP41XcuBJ/fLObR8QSYJGx0CF23uUErjO2dy22zL4aYeFAuq/PW8uqST72KdZhlOzbT1PBooQHL4tjRU/nDnO+SEEGtuatasXMTDy54D6SFMh2OHUZJiUbz9lfvcfmTd7K6BYn457PO5aIpJ4EQpo+4E5gkbLQ7rRVLt29uyQyeRn130ne4ZtoctGUhnFr+8vFrVLagH6w9Ldu+EZqoSUghmTD4CG475XKGpPduNKY7CLsuby6bz471K+r2yjU61N7dmJavXsz1L9zHpxtXeBUB6qpjd5x+BcePORorysZaHA5MEjY6RHVNOZuLC7zCPN12ync5aex0ZNhh3bYNPPnVu15F2p3Smq+2bUA3sqRm3WjoOE4beRQje/ZrpHT3sXDrWh6Y9zbaLAbRqVyfj3lLP+Oa5+/lpcVzcSNY6jUxEMNfz7iKnMFjsKPkwfZwYZKw0TGU4p2VX3lFefJJm39ffBMXHnsGoryEW999joVb13kVa1d5pbuoqixr9D2hNbbPT3Jc914TZ3tZMb978wnKtm/CtcxtpbM5fj95G1fxvSf/wg+euZttpYVeRcjt0ZPnLvsFk0ZNxqqt9Qo32oi5WoyOoVzmrl/mFRWReL+fW2ZfzAmTZlK1Ywt3vveCV5F2VRWqpak9uYXWxAWCDMroPutBHyysHP6z9DPmLZ+P0w12fuouHJ8NNVW89OU7XPHMXawq8O4nHtyjJ7+acynpfQdhOWGvcKMNmCRsdAzXZe7Gb72iItY7KY0/nHoFE0ZO4o3Fc3n0y3e8irQbv+VDNDHFQwvBsPSejMvObfT97mBF/hZ+/84zCMe72dPoWEpKtHL54pt5nPXY7XwewTU4tf9wbjvpUkRCKlaUbpjSnZgkbHQILaC0opQFW9Z4hUZsaEZv7jz7aob1G8rv3n2eb/PzvIq0i74p6SSmpDe4mITWiIRUzhk7naDdPftJK0I1/OHNp6netQ3HZwZjRSMtBEpKtm5cwfmP387LSz5rNl4KwVlHTOPXJ16IPmhLUaNNaahLwi3b4sYwDpFyQryx/EuvsBYZ2yuHe8+9mqRgLLf879FWj8A+FD5pceGoyQ02CxJa0b9HFheOn9loua7OUS4Pz3uTDxd9grJNM3Q02ztyuiw/j6te+Af3fvJqs/E+y+LKo0/he9NPRTpmoFZ7kFpUQt0GDmZMutEhZDjES8sXeIW12KQ+Q3j4/B8TcsL8/s0nvMLbxdXTTyeQkLrvz0IDviCTs3OJ66b9pAvyVvPb/z2OqzXarE7ZJbiWRahkN79840l+/uq/mo1NCAT50XFnkdZnkBkx3T5cqNvKMLKV5w2jlbSGbUX5fL4psvmLLTGx72BuPeUy8suLefqr973C29yAtAweu/gGDtwwSAtBvRe6kZ3lpVz61N3oqnKzPnQXo6SEyjL+Nfe/XPjY7YSa2fxhYFoWv5p5DnZaTyzXpIq2pNEOgHSlNs3RRofQAtyaSp6e3z5JclzvXH5y7NkUV1fwxSbvASht7aThk7j7wp8jdN1nlaEaFm3f0OK9lKNdrePy/Wf+yq5tG+tu6EaXowXoUA2vL57L7PtupqCi6TWnL5k4iysnfwcdjDNrTLchLXQVmD5ho4OJUC2vr15CQRPzaltraEZvTh8znYqaagqrOvbUtoTkkomzuO3sa5FKoYEtJUV8sqFtpmZFi5tee4C5y+fhmvzbpWkByg2zYM1ijrvvZpbv2NRonE9a/H7OpZw8ZgpKmqUt246oALD8E3OuBDI9og2jjQhqlCIlGMOUnBFewYckMRhDRkIK+RXFxPlj8XXg4hG2lBzRJxc7GMu8b7+m1nXQwHFDxuPvBks53vHus9zz3guNrg5mdFWa8tIiXvz2K0b1GsDAtJ4NIiwhmdRvGB9sWkVJ4U7TBdE2tv3ypEsftIJHDrxQC7r3enpG9NjTTLuxuoLvTjwBXzslpoBtkxCMoyocwmdZyA7sm7WlxZF9h5CelklZqIYF2zby/JJPGJCSwcAevbyKRyWlNY8veJebX/0X2jWLOHQ3WkCoopyXV35Nj9h4RvfOQYr6D69JMbH075HJmxtXEq4oqxvzYBwyqcXam0++9FErcGTOhVqQ41XAMNpSWThMYiDIUQOGeYUeMltKYnw+XKWQUja1qFW7sC2LCX0Hc+nEmdww4zSumjybvqmZWKLjauVtxdWKp776kOuevwfCZpRsd6WFQNdW887ab3CUw8T+Ixo8JA9M64lUio+2rEE0s1Kc4c3SYs0vTr70SQlEvgu0YbQBLQRUlvDQVx92SL+tz7JQUdB86uuCm9yHXbcuAT93D4TMesLdnRYCair529vPcP1L/4+i6qoGMTccdxbnjpkCZqOOVnGkLgWQGlXiFWwYbU0LSd7Ozdz9wYteoW3CErLbjVJub1XhMA998QbXPfd3RE3Dm7HRPWkhwHV57tPX+f4zf6W0prpBzJ1nXsPQvoPNkoutYClKACSIYq9gw2hrWghkZTlPLJnLkm0bvMLbhDB9WBErrKrkrg+f56ZXHkDUVJmBOIcZLequ0Y8WfMjN/3mIrQftwpQaE8vtp34PX1IPM1r6EGlRl3st/6ScI4HjPeINo+1Ji5qKUnbXVnPi8IndYvRwd7CpuIBb33icBz54GREOmbnAhysBypKsWLeMTZUlDO81gPS4pH1v56RlUVtbXTcnX5mFPFpM8uYvT7r0U6m1Ns3RRqdQQiOU4s1vv+bZhR96hRsdYNG29Vzz3D08/dnraOWYBGzg+P28+dmb/PSl+/hyy+p67/169sUcPXScqQ0fmmIAKTQmCRudxrUkqngXf5v7H4qqyr3CjXaigWcXfsy5j93OF0s+r3vNNN8bezjBGOYt+pRrn7+X99Ys3ve6EII7z/gBsamZJhG3lNo7MEvoIq9Yw2hPrs/H1ry1PDH/XWpds59IR9tVWc4Dn73Blc//g11b1uL4bLMhg9GAE4xh/ZqlXPX8vbz6zRf7Xh+Z2Y/fzDof0QVH/3cmoSkEsAKTcgIgrvEqYBjtSWjNJxu+JSMphTG9B3bo4hqHq7By+Pe8t7jh1Qd59rP/IWtrUHbXvJFKpZCOgwSEL2BW9GonyrapLSnk1ZULKKwsZ8bgI7ClZGK/IRTXVrN4zVJUB65Q15VpW97+y9mX7rKtsMp3uuiFZ3QfWghERSm/e/tZBqdnc0zuaK8iRivM37Kaez58mbdWLUIV70LYvi43AtpyXVAuwnWJ7T2Ak4aMp6imjPeXtu2e1UZ9js/Gqq7kwbn/oSJUzd1nXUeMz+b648/h7TVL2LR5lRlLEAG71ikAkNSKCqDhRDDD6GCOz6ZqZx4/efUhvs3P8wo3DsHW0kJufPVfXPT4Hfzvqw9RpYW4Pl+XaH6WSmM5YeyaaizXIT07l3NnnMYDV9/GS5ffgl9Kvt66AcyWe+3OtSQiVMszX7zNFc/8lcpQiF6JKfz1tCtAStM/7EEIKvfkXuzyAekqLr9otxK6j1dBw2hvjs9m04YVXP/yAzx68c/olZjqVcSIQGltNfd/8hpPL/yUTfmbsaor0T4bN4qnhUmlka6LVi4CjUjryZQBQ5jWfzjj+g+ld3I6A9N6smznRu587wXe+nYhsrzENId2ECUFwnX479cfURUK8dglN3LC0HFMGjqBBSsW4JrfQ5OEEoXlA9IVgEg6d6TfSc/8XAgmmAWFjGggdN2StKdOmskD519PvD/oVcRows7yUh6f9xZPLpnL5oLtWOWluLYVdTVfoUEqF5RCKBc06OR0xvcbxAmDxzK23xB6JqWQEpNARnwyAbtuycQ/vv00D371AUX5WxBamxHdnUBoQEoG9R/GlL6DeHXFfMoLtne57o2OIgRozdf2rvypJc8vC9mkxGih2YmQgBnMYHQ+LQANry/4gN/Ep3DHaVe0225L3dXCbet4/Iu3eX31YnaVFCIry0BKHF/nf49SaYRWdQlXa7Q6rvEiAAAgAElEQVTWqJg4svsMYmKfgYzLHsio3rlkJSYTH4ijR1wiQbv+OsWvr1jAXz54gcWb1yCqK0EKk4A7Sd31qli3fjlr89aBG0abBNwMiRBqOykxGsB2e8Zrka+3mEqwEU20qNu955GPXiEhGMOvT7wY2wz2aFZeyW7+881nvLDoM77dtZWayrI9O92IDm8aFBqErkuyQmk0ui7hSoGd1pNRGdkMzezDmOwBDO+ZQ+/kNGJ9QeL8QWL9/iY3u1i+YzN/eOtJ3l2zlHBFMUJjalxRQkmBCNdGXStLNBKu3ur2jK9LwnJlupYpRVsdm7oZ+4YRJbQQuMrl728/Q4zl48YTzscytZ16vtq2jo9WfM3r337Nyvw8amurEbVV6D1Ns+1RI6kbdKMb/l/V3UC0lFgpPRiQmsXg1Cz6pWXQv0dPhmT1pV9KBvH+GPyWD59lEbAt7AjmlxZUlHHHu8/xxOKPqS0pRCsXBOaGH2XM7yMCAgQiT6zsUZeE1fACrQtsMxTViEpagHId/vTm48QFY7hu+mmH7UYMFbU1LN2xkUWbV7Ngyxo+37ya3cUFaFeBGwZV152kBHUdTy3kOaJVSqz4RNLik+mTkEpmfCIZCcmkxyWTkZRM76Qe9E3JJDMxlVi/H0tYWFJgSYEU1iE9QIVcxV3vP8c/vniLyuJduGrPYi4tP5RhRA1XkieGF2gAYQcCIviDo6ch5CdamT5hI3pJy8ev5nyXG2ee260SsasV5bU1lFRVUlJTTnF1JbtKi9heuot1u3eyqmAbKwu2Ul5ZDlohlKpbjEKr/a1XdU/X+46pLQvpCyKFICYYiyUgxh8kxvaRHozBtn3EB2IIWH5ifT5i/QGSYhNI9MeQEBNDQiCelPh4EgNxJMbEkBiIIyM+BSlF3fZ1e/4+se//B/7trVfjhHl7xQJu/eBF1m1cjvJ6QDCMLkJIiXD19Op/f/pZuKZG2+GaGp107Qlbld2Wl5BhtD3lhrntv49QGarmV7MvabLfsKuxhCQ5GEtyMBZIb/C+Bsprq6moraEqXENVuJaaUAhHKeICARAQlH6SYuNICcbjt+02TYgdRWlNWW01by2fz60fvMC2LWtQ3ehhyzAAEAIZDm0N19TUNUcD1CZSaJe7tUCg2cKG0cmUdrnr7WcoKC/jzjOvPCymLwkgMRBDYiDGK7RLCiuX3RVl/G/ZPO74+BUKt6zDtW0z2tnolrTr1tak+fft2WADBAuqlRMTWCeEHGHWXDWindaKJz/7L5uL83n4wp/RK8ks6NEVVYZCbC8r5JVFH3P3Z69TszOvbvUuX/3pSIbRXQgh0VqtCxZU70u0dWe7L8W1VNVGZTPCjJA2uopPl3/JMf+8mccuuIEj+wwyc4m7AA3sqixjS+FOnpj/Lo/Of7dulSvbh/b7vYobRtcmQCjW40vZt7aqDeAGXBfFuqZLGkb00UKQv2UNJ973C/445zLOm3A8GXGJXsWMTlAddthaks/CLWt5duFHfLj0c6QTAtuP6zPJ1zh8aMFGN+DWT8JW7S6lreQNZnCW0dW4loWsLOPmF+9j3sZV3DjrPEb17BfR3FOjfSmtySvZTV5JAR+sWsS/v/6Isrx1dXOXLZ9JvsbhRwgkcp2s3VW/OdrtPceVOz/b0CWHVBqHPbVn15Y35r3NJ+uXc8us8zhp1FH0T8nwKmq0g9KaalYVbGHR5jW8vuJL5q78GlldBbYP1zQ5G4czAVqr9W7vOftqwkLv2bUh4bpjhmEFVmqzDZjRhdlhF8dncfzoKdx0wgVM7Du420xlimbltTWs272dtfl5fLFhBU8s+hi1eydaiLr+XvOAbxgIy8KqDQ0reeCjVXtf2zcMUSinUGu7HEFC48UNI/o5Pguh4ZOvP2bR9k1cPflEThg+gQl9BnsVNVqoqLqK9YXb2FCwnfmbVvLG6qXsyFuLDIdQPj/K1HoNox7tumVKhos4wL6acOK101OU8L+GtKajTG3Y6PosV4FysFOzmJE7ktNHHcXZY48l1ufzKmo0YdG2dXy5YQULNq9lVcFW1uzegVtcgHBdtGV3+EYRhtFlSAvpqo+g9qyy++YW7315X01YCTssBKsQTDezlIzuwLUkWH4o2cWHCz7kkw0reXbhJ5w0YgLnjDuWrPhkr0Mc9goqypi/aSXzN69i+fZNrCsqIK8oH1FSiEaDtFDSQpvpYYbRLCFACb0a7PCBr+9vjrZiwiJcs0pbpvPG6F5cywILdFEBX+zewRebvuWprz5mWs4IzjhiGlMHDPM6xGGjrLaahVvXsnTLGr7OW8+6wp1sLd1NaUkRsroCgUBbEtcsqGEYLaKlwK5ltRuIqZeE9zVH+4JBGXf51BPDMf43RKhejGF0K1JphOugYuJISc1kVEY2xw0aw+yRRzI8s59X8W6lygmxZOt6Fm5Zzafrl7OuaBe7KkooqSxHVJQilANCoqQ0y0gaRitovw9/lTO74rFP39m7bjQckIQB4m84fgiuvUpoF23apI1uTmiQygUEOj6J1MQUhvXoydQBwzl2yFiO6j/skLbfi2ZLd2zkm7z1fLNtHSsL8thcUkRxdSUV1RWoilIsx0XvSbiqHfYiNozDUd1tRIJyh5bf98Hqeu8dmITjfjazt6hlrpAyx2xraBxOhNZIpesSTzCO2Nh4UuOSGJHRi8n9hnH8sLGM6TWwy0ylL6yuZNXOzazYsZHV+VtZXbCNtUU7Ka+ppqq2BlVbhQ7VIJVCC7HvxzCMtrdn+8INblBPr/zb+9sOfK9ex46v0q1F2stcS+RgGIcRLQTunvEQoqaK6upKthXuZOu2DbyzciF3fPQyAZ+PgamZjOk5gKFZfRiS1Y/B6b3JTkrzOHr7qAjXsmrnZrYU7mRzUQGbigrYVJTPqsKdlNdUEXJC1IbDiHAthMMI19mTbAHEns9sBlQZRrsTAo36xldZVnvwW/WSsKr2V6sE9xukOA0zS8k4TGnBnlqhAO0iqiuori6nRsOiXdtZuH4F2H6kZWFZNj7LokdCKkPSMuiTmEaP+CQyk1JJj00mMS6OxGCQ+EAsQctHwBcgxuert0+KEJLy6kpq3TCVoRqqQrWEnDCl1ZWUVFWQX17E7vJSdlaUUlhRytaKEnZXllETDqFcB9d10coF1wHXBeUgNPuT7Z7PhJk+ZBidQkuBrcUyVZ1SffB79ZKwqEmusWMKl4X9oss0uxlGe9tfc9zzghNChEMoQAFhYHNxAVu2rq3bqkxIkAKErPsBRATNvUJrQO8fj6EVQmvquoY0KAVao7WLOGjMRr0VqYTArFBlGNFDCwFKLxM1yTUHv1evTxgg+erjx7h+e7F2XXMZG4ZhGEYrCcvSVsgZW3L/B0sPfq9B+5SWVrl23bVCmqYrwzAMw2gNISXCUWu1tMobe79BplW2r1xovRgzUtIwDMMwWkcINHqRsn2RJuH4Ci3EIm3mCBqGYRhGq2gpkMhFcmd8RWPvN0jClX97vhpYYgZ2GIZhGEbraAGuUEtLn3++wchoaCQJA9iO3CFrnTIhTL+wYRiGYRwKISSy1im1HbmjqZjGs6yrygRikdeUCsMwDMMwGrcnhy7EVWVNxTSehC1ZooReiNlRyTAMwzAOjSUQiIVYsqSpkEaTsNszXG67LMQs2WEYhmEYh0gglV7s9gw3OjIamkjC5b/9SGnBesLhStMibRiGYRgtIwQQDldowfry337U5I5ITY680qgCqcWnSLPAu2EYhmG0iLQQmk81qqDZsKbecAr1bqH1QjNf2DAMwzBaRkuBpeUip1Dvbi6uySQc/s+8SqFYevBC8YZhGIZhNE9ojVB6Sfg/8yqbi2s6CdfUaC3ZrB1nq5kvbBiGYRiREUKiHXdr2NabwzU1zVZlm82uTkDuBL4yU5UMwzAMI0J1OfMr7ZP5XqHNJmFfdckOYIFZtMMwDMMwIqOFQAjm78mhzWo2CZc8sCAMrBCOEzZ52DAMwzCaJwQIR4WAFXtyaLMi6OxVeVqzDNMvbBiGYRjNExKt1XKt1VavUIggCdtO/FahWYCZqmQYhmEYzZMCoZkvhMzzCoUIknDlY+8WasF8s4SlYRiGYXgRaMGCmoc+K/KKhAiScLimRiOttcJRxWaqkmEYhmE0TggJrlMkpF7rNTVpr4iyquW4mxRqo2mSNg4HQjf8aex1w4hGjZ2/5tztIFKgNZukU7PJK3Qv2ysAoPSf72+Lv27mBo0Y5xXb1QmtPU9SLQS6Bc8jdceL5LiwpykjYnUXlfdV1V7Hbul3cbBIvu/W0mLfvp5N2vdv8AXAH8Bv2ViWhW1Z+G0/PstHdaiKsOviui5h10GFa9GhGoTWnsc/UFOfufXfJRx4nqk2fmiO5HyAln2Opo7ZmmM0VTaSf7/X3xvJMdpSJOcu7P03CfD5Eb4Ats+HLS32t15qHKVQroPjOIhQNbhOhMeO7DN7fXcQ+fUeybGika7rtt1Q+s/Pt3nF7hVREgYQWi/WrnOyEDJG6yY3hOjShGUTk5CCz7Zp7pyrKC9Bh6qbDjiA0EAwltjYBCzZfMODVorKmkqoqojoBBQa7IRkYgJB8Oizd5WiqrocUV0V0bEBZEIKcYFg0+8LKK2qRFRXcCjnhLD9xCakeH4vreUqRVV5MdoJNXhPaA3Swp+QTO+UDE4YNIopOcMZ2XMA/dN64bca/tu2lhXy7c4tfLl+OW98u4i1hTsIlRd73tSEBnwB4hOSEQd95r3fpawqo+Xf5J5jx8QTFxuHFBIpoKx4N8r1nCERMV9SGkGfv9kYKaAqFCJcXhzROSHjk4gLxtZ/bc8xQmWFTZSqT8TGkxCMQ+/5TkNOiNqSwnrnuZAWMiaehJhYVBPXthBQVlWJrKpANfJbENJCxiaSEAw2eYy25rgO1WVFaOU2+v7e89eOT6JXaiazBo5g8oDhTOg7mOzkDAL2/g14CquqWFe4jcVbVvPuqkXM27SaivIiCIeaPG8lEjspmVh/wPMz14RrCZU13Q0qpE0wMZmA7fM8Vnl1JVSVNR8UZYSQaNepFlov9oo9kNARPOEAJFx7/AwtxP1Ychiu98XV1dhhhx59c3n+sl/QPy2TsNv4Sa+U5ub/PszLX77T6PsHs5wwJ06cxS0nXUxWQiqqiRuTQFAVquGxL9/h7689hOsPNBp3IDsU4t7v/4bjho7Fspre7cqSkoKyIm5/93n+98WbuLavydi9hLS4/9KbOGHY+CYvmKDt55+fvMbtH7wElaURPVXvZbmKjL65vHb5LaQnpDT5vbSWJSQF5cWc/shtFOStxz0gqUqlsJN7cMzAkVx99CnMGjK2mSM17fON33LfJ6/y9polOCW7UU08VFhOmGGDx/Lkpf9HUkxcvc8csP28tPhjfvbKQ6jqJrcebZIdCnHOMafzs5nnkRoXR8AKMOov11BUENEATU+W63LXZf/H7OETkc08NAVsP5+vX8oFj9+JqChttjYuhOSOc6/jrHEzOPA+FLD9fLpuKRc98keorW72vLJcl2tnX8o100/Fti1c1+XdVV9z/SN/xN3zwGC5ikBaJredfAnnjD2G2kYexgB8lsWjn7/N719/tMEDm9AaGZ/M775zIZdPmU1NE8doS5a0WLVzC6c9fCvh0oMeKva0elgJqczIGc7V0+dw4tAjmzpUo9bt3sEd7z7LC0u/QJcXNThvhQZh+7j/0ps4ecSkZj+z1ooPVi/mmkf+1OjvXCpFIC2L5y+7ibG9c6l1nUaOUkcpzf1z/8Pf33oq4gpDVLAkuOpbofXV5fd98IlX+F4R14RlsGaBWxuzTiCGRZa2uxitGJXVl/HZuV6RnDFqCq9+8XZkzX1aExsIkp3Ug9SYeI/gJE4cPpF//PffNP4IsJ/QGhWfzLFDx9E7KdUjGnzCJt4XoNkq/oGCcZw1ZgYxvuZPkeOGjuPRhR+zq7QIxyO2Pk1A2mSnZJAUiPEKbhW/7SNg+YD9n10qTWafXG6ddR4XTDi+0XKOUqzdtY3C6goEkBGXyMAevZAHJYWpA4YxdcAwXlj0Cb986ykKtq1vPBFrTaztp29KOgGr4Xf1g8kn8fn6Fbw8/72IapEHiw/Ekp2cTry/Lvn423QbUsGK7Zv4/lEnegUyulcuWck92FVahJLNnBOWzamjp5IZl9TgrWGZ/RiRPYhVqxc3e14JpTllzGSyk9MAcJTL0rwNiAOHu2iXvimZnDx8EinBWKB+zftAp4+dzu/fegoaJGGQQpIal0iyxzHaUnFiKraUHNiesbc5t2+/YfzimNO5ZOLMRsuGlcumogKK97RUBS0fafFJZCfVfVe5PXry0IU/ZWrOSG78z8PUlh78AKnRAjLiUyL6zJkJaU2+J7TGRpAZn0KK530QUmLivEKijkCgYZ0M1izwij1QxHfN0r99Xp147azFOGoWkmCk9/KuwFKgg7GMyOjrFQrA1NxREAhCuNYrFACt6/pjIpGVmEJC74GUbt9Ur9Z2MMtxOXrUGGIiqDFD3c2pJb+zY3NHeSZggNG9BpKbkkHB5tVeoQ0IIfA3koza2sEJTSrF8EGjeeyinzM0I7vRMjVOmGcXfsit7z5H8eY1IC2yB47g1hMv5JRRU/A1kuDOHTeDEb36cf6Tf2XLhhW4jbROKDSu0tBEfvzTqVcwd9MqCnZubjygGVpr3AOaLb0e5FpCScmba5Zwh3Ib/ewH6pmYysCUdHZtWtVsXGpa5r6EcLD0+GQmZOewatXCRt/fSyenMSKz/74/1zgur69eiHtAMyzSZlh6T3o38XcdKDctk4zUdPJ3NLbxjcBq5ppsDz5pNWgJ0AJmjJ7M3Wdew+AePRstt7uqgpeWfsJDn7/Nmi1rwHWxE1KYljOcS46cyckjjyLWV9ci9t2jTsASguueuQvhhBvUPl3ddK31QJHEuRE+XKqW3KyigBCA49ZIIReV/u3zyPoq92jRHVBL/YHWnIeUQ7pTk7RwXeIyenHUgGFeoQCkxCQwuv9Qlq5Z0qIm2EikxiZw8uAxPJu3Dqxm+t/cMLOGjCWxmT7bQyU0nDxiolcYALE+HyMy+/BZIIiIcKAH1A28KKoq56Ulc0kKtqBWsWf8yawhR0b0kACwoXAHZXuaNe2wQ88Bw3j60l8wMC2r0XilNe+t/Jrrn/0H1FTgButq6lvXr+Cq5/5BRmIaRw8Y3mjZEVn9eebinzHnoT9Qum1DC1sHoFdiCrefdCnff+ovEIrsIa8jaAHbt22koLzEM5n5LIuclAzm2TZC0+Qgqdm5Yxq+sUdyTCxj+gzkSZq+GVuuy/GDx2Af8LCzvayQgm0b2bsPulQaEpKZkhPZtQ0wZ8g4Htm5pd7DmxYCxwnx1cZVJDZ1vmpN0B9g2sDRxETQ5VPruizdvoGdRQV1TZmN2Fq8i9AB54HQmuPHTuORi24iNabxf0dYudz94Uvc+97zyOpK2NMs75YV8cnCj/hk8VxuOu0Kbv7Ohftadc6fcBxzNy7nxQ9fxfE33+9vNKSlBK02I9SHXrEHa9Edwi4tXOgmpm/WiCFd6znFg3YZlJrFkf2HekUCdQNHThw2gWWrFjVa22mNhEAM0waO4tn3XmgyRmqBsP1MGjjCs1ZySGybmUPHe0XtM2nAcJ5cPJea3TtwI9xxS0lJecE2fvTAb/AcpXGQuD45LL7xn8T4Er1CcZTLQ5+9SUnhTgBEQjL3n311kwkYoKCylKe+/gBRWYYT2N/S4Pj9kL+NlxZ+wuheA0hsohl9VM8B3HPG97ns4dsarVl4OW/cDN5cuYBXv3iryf7lzqCVw2frlnHe+GO8QhmVPQASUhDlxehG1xfQTMsd3cjr+w1K74NKSEbUVDX6cCdcl2NzR+9rTdHA3DVLkK67rxlcuooeiSnMGNR0wj/YiSMn8sgnr9V7TQsQ1RU8/t7zPP7W040X1Bo3JY2FNz/I4PTejcccYEdZEb99/RG+nPcu2m6iRUsKVCAGLepacIbmjuHB83/aZAIG+Gb7Rh747A1kTXW9hKqFAFn35z+/8ThTB43mmIGjgLoHp6unncKL8949pHP2cCcQCORmq3RX8003jWjRFV78xOJKrd2FwlE1XrFdRd2IVT/DMrPJjG/YN9UYKQQzh4xFtENjgBSC4b36o5J61D3FN0Iol7Q+uWQlePcFt5TQkJ3Vn/6pGV6h+0zsP5SsxBREhE3ueykpcIIxOLGxEf+ohCT+ccZVZMR7J2CAd1ct5KVl8xChaqTjcN0xpzM1Z0SzZfLLi3ln1WJUIyOBdSDAa6u+Jr+8uJGS+31n6CTOO+oE5CHWZn9/8mUkZvVDtvA7bV+Cj9Yu8QoC4Ig+g8lISkM20WImpMVROY23JuyVnpDMqOyBTX4HWgim5IzE3lPrdZXLB2sWow54MNZSMCg1i+GZ/Ro9RmOm9B+BaKS2q0Xdg1iT52ZMLL5gLJEuamQJQYw/BhUT3/Q5H6xLwEKDlZjGP866isxmzv1a1+Ht5fNxi/Kbb4VRijvff77eS32SM5k6fAKyDUfUHy6Eo2q0dhcWP7G4sX6MZkV2thxIuE8CG0Qb1wA7i1SKYI8sThjWsinQI7P6k5ydE9H8uZbqlZjGnFGTEE1dDE6YC8ZMJSM+ufH3W0EqlysnzUS2YJnSfinpHNl7AMpnRzQH8FBZrssV007lrCOmeYUC8G1+Hr97+1lChTsBQZ/cUfxw2imerQfrC7ZC0c5GB965lkXJlrUUlJc0UnK/GJ/NDcedTVxmdpMPU83pn5LBi5f9H8TEt+t32hJawCvL50fUXzchexBDe2RBI32AQmv69R1Mv5T0Rkru1z8lk6n9hyMamalguYqs/kPpd0CLRkVtLa8v+3Lf700qjY5P4sShLbu2k4IxnDh0fNR873s9esH1HNWv+da6pds38uBX76Ps5hs5tYC53y5mZ8X+aUApMfHMGTGx0e/baNqeXLhhT25ssRYnYbkrcw1CrEK5UXaKHiLl0jcpjWkDI2+uAvDZPuYMOQLLafsTtkdcItNyRyHCDQc6yD3tRNMGjdo3sKJtCU4YMQkRYd/uXhP7DUXEp7TLQwnU1QRi0ntxw8xzvEL3+fcXb7J607coaSFqa7ly0iwyPVoPwq7Lpt0e+3A7DnlF+c30Vtbpm5LJeWNnIMKHNp1lcr+h3DL7okOuTbeH6rJiVuRv8grDZ1kMSc9GB2MbJDOpNCfkjPQ8x+L8fkb2GtD4m8rhhNzRxNj7Wyu+zluNqK7Y92ehFYkJSRwztOVTz04YPsErpMNIpZg6chLfiWCcxrr8bZRt2xhZN4ZyWXnAAEBbCgZn9kW3wz2tW1OuVkKvkrsy13iFNiaC31R9pc8/7yrcD4QSXX4taaFB+3yMyuxDj7iEfa+HlYvX/Gm/ZfGdoeOhmfluh0oKwYheOajEpIZP49olmNWHPsmRNxdHSmhNSq/+9EvJ3PdaVTiypqkpOSNJT0hGRDj6saWscIg/nXQJfZJ7eIUCsHb3Dp5d+jmitgbQ6OQeTB24v+myKTVOmO2lhdBMbVlbFtuKd+N4/O7j/H5OGnkUSHnItarLJ89m/KhJWE5kv4d2pzWfrFnqFQXA2Owc/ImNnBPK4bihR2BFcP/o1yMLNz6xwcOdCDscM2g0cQf0eb6z4qt6/c9aCHKT0xlxQFO00hqniYUvDnTckLFR0y8qXIefzzzHc7BXddjh252b0C2oyeaX7q7355SYOPD7D/l8PdwIIdGaIkvxfunzz0f+xR/A+ypohJS1r2mpC1rQYhmVhNZY8SlMHrC/j3Dt7u18tHYpxTXNjzIXwMjsXHRCcrucsD0TUxjebyjyoBuGcB2OHziKtEbmVraW5SjOGH4kgT1dDY5SvLNiPhuKPGqGwLCsPuREMAXkUNhhh3EjJ3HmmOleoQA4SvPfpZ9TUZCH47OxHJfxA4aQkZDiVZQaN8yO8uJmb8BCCHaUFVEbwQyBPilpJPbqd8gPJxlxidx6yuXo2IaJqDMIrXl/TWQLAo3tO4SM+JR6/cJCgw7GMrbPkGZK7tczMZWk5PR6/cJCg0pMZnjP/vVi/7tq0b7f296/56j+Q7H31ArDymHe5pVsKq6feBrTJ7kHPXvltMu13RJSKbL6D2N8b+/1CwqrylhTuKPJkdYNacqq63dhWsJCRTCy29ij7nzbhQrXH8nXApH+tuop+8dn27VmsVYRPFJGMem6ZCSlMm3QqH2vLdy8hpcXzmVXhfeSeSmx8UwcOLJBomwLPRN7MGPAcHDq17ZEKMyMQaNJj3BgUkto7XDK6Mn4DkjCL3/zOZ+tX+ZRsm5lqnHZuY02P7aW67P53ZxLSW5mROiBFuat4e5P/7N3HVdQLhP7DiM5Zn9rR1Mcx6G0pqr+Yg8H0QJKaipwIqhxpMQmMq3f0Fb1sx3Vbzi/OekSrNrOHw+pUHy2cZVnUzzAkIze9EtKRR8QLbRmcN+hJAUjW4yhT3IPcpN71Pv+pHL/f3v3HV5XdeUP/7v2Ple9yx3bcu82BtOrMQZCSx3Gk18mIZNMEghk8maSTCowSSY9noQBbAMJJUASA6FjExe5Y2xwt9wkV7nJalf9Svfsvd4/rqot6Rz1tj7PIx4s7XN1de45Z+26NmaNmYq0+IZ74HhxAU7nnaj/NzEjJi4Jtzaa5X+6pBh/37YBp0vOwYsijbsmX9rjE+PIuPjsxdcizkdCm2BlGfbmnQLI73wdQlxUZIljfkUZfrb8RXzmuZ8jkq/a41ABAKiNgTtKlqw741W2Je0KwgCgrPsGgKK+3CXNSmFy+jBMGtSwnOCjE4fwl53rUVjRMLbUkvhANG6dfAnIbVuXdLWPB3JCVBSuHDsVaDS2oy1gU9Iwc8S4+k6I3GCBr4kyXrQFVNpQTGmUsCQUDuOtPVuwIds7CAPA9ZNmITYhud2tvubo6mp8ae6ncfkof+s88yvK8Oz7y1GWd7JhXMwYTB0+slvxAXYAACAASURBVD6TVGuMtSgNVXqUIpSFquH6SE6QFBOLKUNHAR14mDuK8C+X34xr5syFbuf4cmeqrqrA1hPeyVk0KUwbmgEb21AxU8Zg3rhpiPI5sTMuEI1RKYObBAUyBjeOn4HE6IZK2fpDO4Am9xUjPS4R149vqGCfLinEX3ZvxOmgdwVbE0WGErqggt0WZAxubdQ71ZrymiqcCZ7zvVYfYBwuOI1vv/4kZv/2Afxm1cs4d+qI10GiVm3sK9TGvuZVtjXtjqCqSr1FhNNe5XorYoaNT8J1Y6bWTxBhZuzPy4U+exLZeSc9XiEy+eTGdkz62HBkD8LW+wGekT4MyReNg67tziNjMHvsVAxNauhWXXtwB0KdMC5NxsXtUy5FUqOUcu8f3QNVWow1R/e1cmSDuRNmIzW+87pNlWXEDBuF+2/4hO/EHOuzd+Bvm/8B23hMV2uMSW8+s9D5wtZFUXVlfbKH5hAIZdUVMD4Ca6wThbGDLupQSxgARian44cf+xwoJb1ds607ExmDtQe2exUDAFw2ehJiExqNC1uDGybNru8i9mPmsNGwCckNf7fr4sZJs5pMTPzHwe1A4/Z5IBrXZUyq79UBgMMFp1CdexhZp48h5GOMffbIibCJqZ3es+OXsgxOH4YRPod5qtwwwuWlvoMwW4OFma/hqXVvoezcKSBU6W9Cl6hHhDMUwjte5VrT7jMefDYzxIzlzNar2dArKctITkrB3EbLF44Wn8OhorOA1thyLAuFld5/2tCENKSOmgjdhofs8j1bUNXMzOfzjUhKx9yx0+pr42xd3DhuBoYnNUxOeu/gNlR1QuuIrcHt065AbG26P8uMZVlbYTWhqKIUO09715Djo6Jw6bDRnTampMI1+OWd92Li4BFeRQEAh/JP4beZr9Um/Y98j5hh4hMRG+Uvs5hhi4oa7/MZCtfA+gjCADAsKQ3N7cXtWoPdZ476nvx2VcZU/OyOL0D5CCBdia3Bmmx/k7OuGDcV6YkpUMZGxnLjEjBzxFjPmdGNzRw5HsnJg6CMhbIWeujICyYmrji0sz7DFTFAMXFNEs4EQ1X46NhBMAMf5ebgZIn3uHBCdBRumnRxlww3+aGMwSUXjWt1J7PGqqpD0JVlbetKrioHu9WwquNbB7JlKGOgrL3gC9bAsPU1jNFX1Ma+ZcFnMzs0TuSvedECxfRXS/wFIhXXnoTzPYsxJjkNV4yeVP+dY0XncLYoHyoqCquPHMB/lBchPa71ccjUuATcNuli/O1kDuCjywgANh3bjzPBIiQNbT24DE9KxTVjp+LN9W9FvqEUrhwzBXGNWoWrD+9FVU010IGE58QAxybgqrFToVVDEH4jawuYFMLVVVh7cCdmjxjn8UrADRMuxrv7P4ItL+3QTa3DYVw3Zy5unXo5tI8HdsgN47Xt63Hg4Ha4jZJsEDOi45MQ47Fusg4zwzU1AFr/nW252mOjAjCxsdDVTYO7ozQeeed5fOeWe3DtmNYTiETKEz49+wZsProf727+B0yXLFHzwVpsPXUEITeMGI8K17i0oRiXnIbTiqCswcyxFyPR53hwnYtHjse45HTsOnUYZAg3TJiB1EarGbYeP4hQRcPOU8SMhNh43DH9qvrv5QbzsObofiAqGpuPH8TpkiJM8OgdidIaH5t6KdZtW+v73u5MDEZG6hBEK+9hFAAorihrc/a5jtyj57t2/Ey8+4PFzd45zIyYQBQmDx7VzE/7nsisaBsEqb96lfXS7pYwAFT9acMeAFnUGYOS3SgyczIe145pmrEn58xx6NIiWCeAvOMHPRMyAEBidAxumjS7TWNHLgMr938I4+O0TR6eAZU+DE7YxeDRkzCyUSarrScOoaLRYvv20q6Lq6ZegpS4hokuWXnHUVpwJnKT1oR8t3xunDQLibHxHeqSJgY4LhHfveWfMdLHDlEAsP1kDn6xammz2zQGnECbko94YUUIuWHf2y8qUoBuPi3hkWABfvbOizhTVtLsz893UXI6vjnvM4gfNrrHJg0xAW64Bmtz/F0Tl4yaCBsbD3JdzJ04E3EeexKfb0RSGsamDwVBg4yLG8bOQHqjSXYr9n3Y5P5jrTFnxFgkxTS0IE8W5ePo8f0wjgMuPIsj+d7DTZoU5k66tE2t9s5EzBielN4kN3Zrqk1Nsz0u3SUpOgbXjpmKa5r5unbsNMwZOcF3Zbi3q415WaGn1u/1KuulQ0E4HAqxtniBFbV9A9QeRMyITkjC/KkNC/LPVZRia+5BMNV2y7g12Hp0f4v7CtchRPLkmuR034EnShGW7d/qa73iqORBuHbMFCBcg5vGTsVFyQ1Zhlbt+whUXRnZQKsD2BrcPnlO7XZlEcv3fFDf2iPjYsfZE766aacOGYXRyYNAHQh62g3jgbmfxpyRE72KAgDyykvwf2teB5UWXTAeRhzZylB1co7tCjfse0Kcox2omNhm157HO1H4YNsavLpjDcI+rgcAuHL0ZPz89n8Fd1K3f3tYN4y1B/2lsLwyYwpi4pMAY3DjpIubPIiP+lj+BgCzho+FSUwGtMalGRObjPWuOLSjftN7YgBRMbi9UbKNkOti2/GDoOrqSApIInxwZD8KKr0nXw5NTMOwMVN6psLDjJSYmAu2zmyJ3x2KRMexojJt8UI4FPL3EGhFh4IwALjHc19mtt5z/nsVxuCEFMyd0DBz8lhRHjbUblkHAKwdbDyShYIK75ZmSkwibpg0C8rnBClHaazP3olSH0tOMlKH4IqMKYAxuHLsNAxu1A23Nmc3qLrad67alijHwXWTZjV5sL2V9WH9/zMRykOVvvMG3zh+BmxMTLsmtGhjMDhjMj5/9Xwk+BwLW31gG97b/F79Ju7nCxsXtk0dyN1HAeCoKPzwzT9h16nDXsXr3T3zGnz+mjugfV5znY3cMFYd9tcIuHzMNKTExsOkpGN8WsMQTGkohD+sfrWVIxtcPHoiEuMTkTJyYmSMvVZJqAq7zhxvMvs8EB2LWxpVsE+VFGD9kSxQ/b2tsf7EIZwt8Z4lHRcVhTsnXQLqgfPMABwd8NUSN2wRqvF+nnSlsHVxqqSw2a+TJUXIKy/pNxUFZptHhXlNk2+3U8ee3gAq3j1YTcyvECnvZlJvEYjGNaPGN8khfDT/NM7k5tTPDmTtYN2RLBRVegfh9PhE3DRhVpuWKqlQCOsOes8wDWiNmcMzwMNHY+LQhr1v88pLsK/gVIdn3TphF6PHT8eQ+IYZ1wWVZdiT2zgDG8GtqsD6Q/6C8M1T58CJ8l7XeD5igLSDh2++B9N87u18KP8Ufrz8xRZz5TIhsnSljWNlXhxSvlv71hrYVibPERR0eRl++OYzKKjw16k0KD4RX73hbujUofWz57uVtThaeBbnfFRShyUkYUxSKq6bOAuJjXpb1mTvxLsHfSb+uGgC0hOScMOYSRjU6Fp9L2sLbLimYWxTKYwbNLzJeO+Z0iJ8cGQfuHa3Jas0Tp3IxpnSIniJdQK4ecql7apQDjSZ2bsx7QcLMOXHn73ga8b378Elv30QWe3YJ7u3IVI1xPxKcOmeTol5HQ7CAOC46jnA+nt69DBigGLjccuUhppyZTiM7bnZUI228LKKwOdO4ZiP7rJo7eCKsVNBjv+xLibCO1lbfHUkj0gdjM9fegOGJzQ8fFbt/xBloVCHx4DYGtw56RIMapT4YFnWlibpOJkAVFfhgxOHfL3f68ZOR1J8AuCrdAPturjz8ptxc6NWTGuqXRfPbH4PRccPtrq0ojJcjXAndieSZaRGx0L7XM5hrAWFa1pt0bgBB1t3bcQLW1b47uaePWIc7p0zF3ACHVqH3F414Rpk+lyqNPuiCbh92hzEN6qcrTqwDecKz+JokXdHWnpcPCakDcG142YgtVHSlsxDO0GNZouzE8Anpl7e8G8A+84cgyrOh6n9uJgAqq7ErtxsuD4qZ9OGjYFJTu32pWEEoMaEwT56cRQpOKr94626dlaz3yG15jBbgG3kWrzgy/ieQ9H72TLHVc97lfLL31PEQ/GTKw+Rpc1Eqg+cZUZSbDzmTWpY33ui+Cw2Hd0PPn8ChONgXfZuX2OhwxLTkJ4xyfdSJSbg3YM7UO1jucnIlEG4Z87cJusF12bvBleVo/m9Wv0jItw4oWkO3uVZH17wUCdmHCspRE6B99LwGCeAy0aMBbT/h4KyFs6gofjKtXdgRKN10K3ZcSoHi1a/Ajem5VY3k4JbHkS16/0ZAgCBQD4yDrVlsUWNWxPZXN2DjYrFf7/1DLafzPYqWu+BGz+OyybNBmxb3lHH1U3Y25DjL5HLNWOnYf7Uy5rM7F+ZvRvMFmt9toZvn3IZbpgwq77eaZmx+vBecKN7iHQAH5vZsNFBfnkp1ufsBp+3zpwdB+8fP4C8Mu/WcGJMPOb3RJc0EYoqKmB87JVDAGKiWtiT2APFxmPC+JlIGHwRKC4RxGj3GHjdnJoLvhT1i94EImXJ0ubiJ1e2a7OG5nTsCd6IsnYxs8+ZJT1JacwaMqpJ2sfcYCF2nzjYNMEDImNHmTl7URLyfoAOTkzFreOm++4eJlIIFZ3D7jNHvYpieFIarhs3vX6MtNoYbDl5BNTBMSBtLGKHZ2BMo3W4YWOQmbMH5y85YyKUVZZho8/sWbdOuRQI+H8oKGb8x7V344oMf5mxyqqr8LP3XoAKtX4OmAAdqkK5j/F3ANBKISk6Fl6t+IDSvsfiiyrKAGM8l4NYYqC6Ct95/Wlf8wUAYMKgi/Dg9Z+AGTTMc0OJTheuwfs+e0dunnJZkyGGM6XFOHXuJMgYZPqcZb1gzk2Y0Oha3Z93AoXlTWeVpyQm4/JGE/rOVRRjdfbu+q7oOqw0Nh7ej0Ifw02J0TGYN2k2qJsfb0yE/IoSX0lhACBaR6Nti+ciAWBk2jBs+87/4a/3fg8/vu2zuPni6xBITu/UzHf9iKusXexVqC38PUX84LKViinHq1iPi4rBbY0SdLiWsSc3B6q4AMRNF5iTBQ4d2Yv8Cu+lSqkxcbh63HTP3ZcaIwLe3vW+VzEooiY7znx04hAKKoJg8jsq2TwyLu6cPBuD4hv2JX7/2D5UlgcvWGxPbGHLSrDxiL8gPG/ypdCBaF+1XyfsIip9GP5pzo2+t2d8e88WbNy+sfWNy+tYxrHCs766eTUpxHlUHpgYSTHxvpaOhK3BscK8C3tZWmC0wo79H+GPG/0n4fnU7Gvw+UvnIi4qxteyt85CzDhTVuSrd6TxciEAWH1oe+SaYoN1xw74+mySY+KazONYdXA73HDDNo+kHNzRqIcLAA7nnUbVyaMg5qbJI8CoOXMMR855v/corWqHm/xdm51GKeQG8yJLj3xIiYsHVNveIzOQX7sU88ZxM/Bf8xfgb1/6ET498+pmt1Id6JhtNrhspVe5tui0IBxcsjXM4MV+Wwc9gRiIiorGbTOurP9eYWUpcvJPQQ0aASdlcJMvlT4EKjoGJwq9944FgMlDR4FTBvkeO7IA3jmwzavYBTYc2omyivILluO0GVtcP35WkzG2j44dQHxS6gXnQqcOgU5IRH5Fma+lVRMHjcDwlEHweovEAAJR+PSMqzBtqL+F/GdKi/HD5X/2n5nLcbD/zHFU+NiXVyuFtOgYUGufIQMJ0TGR9b8eSkMhZJ872aaxe6M1frLiL9h55ohX0Xrfmv9PuHHiLGj/v6bDmCJZmjb52ODjfOuyd4E5kkUrWFqEbB+B/HxrD+0B1VTX9zAQEe6a3nBvV4VdHMg7AZUWuX6bXtNDoNIGIyf/tK/sdUMSUjCojZnxOopJYdfZXNT4zIiXEBNTu+2jV8mmjDWoaFSZCbnh+o0dRIPa2LYkuGSr9xhiG/hoRvjHZF8B42EA/jZ97WZEwIjUIZg8uGHDhthAFG6fcSUuzZgE3UydpIYNRqYNjlQZPSLK4IRkXDtuGjbv3ATrc5JEzumjOF1a7HscFAA+OHEQqCoHOtAOVpZhUwZj6ogxTdYhXpIxCb+6495mW/QGjEFxiagxFo6Pdbe3TpiJZ88cA0zL16x2DYaPnYivXn9ni2XOt2j9mwiePAoOeL8HAAApbMnNRklVBRI9lj0FdADxMXFNdv45HzEjMTrGc29iAAhWlWHLqSORpW8+Ki91TEUpfvDGM3jtK4947iMLRCo9o1IGI6oN4/AdR+BQJTYdzsIXr7zNq3ATmUf2ARzpoidjsPbQzib3pZfymhpsO3sUbN36+5Ji43HDxIvryygFXD52Gn79T/fBwYXXShgGk4eMhp/5dWlxSbhtwky8eOxAt2XPYiKYgrPIryzBRT720U6IjkVKcjpK8nLbPFeEG1U6FREUqQ5N0uqPmG0+YP2tqWuDTr1jv/BpJ++Fv5vfsKN/g55YNuGBnWj868XXNfleUnQs7p7RkN6uI0anDsbHplyGzR+uAfx0kwKAcfGXD1fhOzff41USAJCVl4vdeblQ1sB04GFAJoy7Z16FjNSmOXjnTbgY8N661JcFl8/DM5vfazEIa2Og0gfjofkLcKmP/VIB4N19W/GHVS/7D8AAjOMg69BO5AbPYWRK68nwYwIBXJSc1uoDiJkxKnmQr+w/x4vzcPTIXlil25yDeEPWB/jua0vw+D9/w6soAHimkOxsTACFq7HxRDYqamqaTO5rzfZTOThXdA51p5jDNXhz9/v42rX+K2LvZX2AkoqGiiiRwl1T5yC5Ua9OtHYwb8JMzGuUD6C9kmNicfv0K/HCypehmCLj912MCQBbvLdnK6YPHdNkHX9zhiSk4ZpRk/HemWPwVbNA7ZwJrZusya92XQRDFb5fY0DQCuSa337+M473cpk26tSzvGjeCtZGLyVrg72tW5oYgBPAnbOu9irabpoUpo0YA05K8d8lZF0sy9rqVarexsO7UVhe2uHdTsgYXD9+OgY3WprU2S4fORFxcc3v4UsMsBPAxyZfgk+dVzFqSbUx+P67zwM+u+fqMAFcXYXMAzsQ8ljLHe0EIq2OVibDkDEYnpaOgG496FWGXaw5sANovI61jV7YtgZv7/3Aq1gPIgQrSrHjlP/pIGsO7Gg6ycka7Dx7ApU+uoXrrM3ZDRuqaOiKZuCuTqpMt2TsoKGIHToS4LZVpjrCOg5e2vW+r12fhiYm4+IRY9qUr4BIYcrghvwDAFAWqsDxwrx2X7P9DZECjC3WRi9dNG+F3ye7b95V+TYLnoFNfAkOPYDuu1Y9MQFDUtIxbVhG/ffKqkNYfWg7jDGt9jRby5g4ZCRmjhjnObR3UcogTBw1Cdk5u3y1VJmB7aePoaiqHGmNthFsyftH9sOWF3doPJiYwWlDMHX42CZd0auyd6KkoqzVc8FskRSXhDmjJiOtUaujOQGtMXfsVCwL5l8w21pZg8TBw/Ht+ff43qbw8bWv4VhuTrseDjYqGos/WI4vXn0bLmpla7ho7WBM2lBwa2N/ipCRNtxzMOBMaQGe3roSto25khvjilI8/N5LuHLsNAzpwgpTezERyqsqsClnD64b2zQXe0syc3YB5wWKilAVtuUexPXjvDeyAIAPTuRExoPrbshAVJMsWdXGYNORvSiuCLY6i91axrCUQbhy9GTPlmZafDLmjp+B5fmnAJ+bKnSUVQq5x/djx6ls3DCu9RZ9QGnMHDkONiEZ5LPiR0rjrvPW5ReHyvHR8YP1GcYGPEWAwUtA8IxX0fbw9/Rrg4rndruxX77+Kbbmq0QI9JZhBVIObp84u0nQ2ZZ7CPe9uBA2EAVu5ZHK1uDG8dPx589/37PLbVTKYFw3ZjJyDm73PXZkaqqQeWA7/umSG1otl19RhoPnTkKHXX+zglugXYMrx0zDiOSGcabCygr811vPIrcoD2jloUVskJ6cjp/d8i+e7xcAbpl2GZbv2gRuNDxBzOCYeHzh0pswx2c39JHiPPxu7Rto7yo4qxTKzhzHG7vex9euu6PVMe3R6cOAhESQtRc8yJRl0KDhGJzQMKO8OWFr8NauTQidzYX12U3bHAsgJzcbP132Zzx+z4NexbsdE6CqyrHlxEGvogCAauNix+njkc+x9twyATZcjQ2HdvoKwnvOHsXZ0oaUk8TA7DGTMahRr8upYAH+9YXf1Objbv16TktMxcr7/gejPMZdh8Qn44YJM/He+neADlSs2sw1WLjyVVz31RmeeaSnjxiL66fOwcbt6/3tshUVjS9cdWv9P8PW4IPD+0GlRR26bvsLIgDWhEmppyqe2+1iidcRbdexPs1mhEMhduP0YWYsRW+qSSmNuy5u6Iqucmuw9tBOhPLPIFSUh+qisy1+hYvzsXL3RpTXVLXyCyISo2MwZ/TktrVUjYt393l3SX90/ABOlhS2uuG8LyaMG8ZOQ0Zqw0Nn/aEdyDl7AjUe56K66BxOHT/kO0nDbVPmNHsuRg0fg+/c8i/NHNG8n7z7Z5QHvfeAbQ1rB4/840XPDE2D45ORkTEZ2r0w4JMJ4/pxU5HisR3f4YKz+OmKv7WYTrNNXBd/27kBr+3a4FWyR5A1OFh4DvkV3uvptxzfj4rm1t2Hq7DeZy7q9dm7UVJV0ei6Ytw9rSFBh2XG1mP7UXnyKKqLzrV6PYeK83HmcBaOFJ1t/pc1oogw/aJxsG0ZbuoEbkBjbdYWvLV7k1dRjEkdgs/OmQcbCHhOrNLG4Ie3LGiSBCi3pAC/XfcG0BnXbX+gNJix1ESrI52xWUNzOj0IA8AXb7eVyvISMHtNKO42KjoW8yc2rCE8V1aCVYd2AoEoWKVa/TJagaqrseXovlZ+Q4Nxg4cjfthoz5ugnutiVc5ur1LYfHQfSkqKLkgq0hbEgI1PxKzzcmf/Y/9HQE01jNYe50KD3DD2nzuJch+ZxEalDMbIRkMAxAzEJ+Ohmz/j2Z1d552sLXht92Yot+aC9cteX40/A6sUwkX5+I9XnkDYtjxuNiZtKL58+bwLxp6JI18LLrkJw1uZzV4ZDuMbLz8GW1LQ4bF7INJSrAkW4FerX0NeJ2xd2dmYCEVlxfjouPf9sebAjqa5nmuRYewtPIuSkHdFd0NOFlDVsF81scVds66p/3llOIxVB7eBAwHPe9uqyCaXGw/tQrWPsdThiamYlDG5zZPsOsoaFw+8utizAqmI8KlZ1+KqKZdCh8PNVhaIASdcjXuuvwvfmPuZ+u9XhV38ftWrCJ467Gsorb8jAsAMgrv4i7fbSq/y7dXxJ0QzFs1bwVShDsDYN3pDa5hIYf6ki5uM+RRWlmBv9m7/3bqkserANl+5ZkcmD8L1GVOhfNzUdUory7GxlSDPAHacOgwVKvc11tMi12DC6MnISB9W/y0GsO74QSDsvY4WAKAUsovzseOkv8xtd02+BKruUtMObpk8G5/x0ZVd5+1dmzE8dTCGjp6EYaMm+v4aNXoy4tOHgXSg/mFktML7WVvx5Zd+32JiFUcp3HPJXHzypk9CV1dDGwMn7EK5NfjSx/4f7px5VYt5oMPW4N//shBbDnzUqQ8yS4T9x/bjZ8ue9yra7ZgUyitLseXYfq+iWHd4b7MT65gIVVXl2Hys9dZwsKoKe/JPQ7l1Wxcyhlw0HmMaXc+V4RBez/rQdy8EOw5WHtqJch/ryIcnpWPu2KltmvzUGZiA0qI8fObZn+OUx+5P8VFRePKz/4mPX38niBR0uAbamMh1XFMDjorGdz7zdfzuU1+vH16zzHhszWt4cd2bMN26zK0X0xrKta/r6tgDXTEhq06Xne3KpRuKov/9usUAfdKrbNcj3D29obsqbA0+OLoPXFMNRPtLrWiVwhsHtuM37MJB62MtGamDcfnoCfjH5uW+uo6ZAK6pwfI9W1qc3LLj1GHkFOeDOhSBAbDB3DHTMDat4aG14XAWCsuDvoM7k0JhSQE+PHoA14+b4VUct8+8GksyX41EeycKM4ZlNGmFe/ntZ74GaxloZdy+JUu3rcYPlr0AN5hfv3bSwOKND1fjrvISvHDvD5AWd2HX8oikVDx6z4P4p0uvQ+bBXdBK4dapl+PacTNazOp1rqIMn3/+V9h8YFsbkwf6Q24YS3dtwjVjp+H/XX6zV/FuwwQ4leWeOa8LKstwsPAsyJhm74ua6hA2Zu/Fx6Y0bMBwvveP7kVBWcPERGUtPj7lMkQ1qvDsP3scpuA02Oe4rVUa23P2oKSqDOnNXAuNJUbH4IqMKfhjD3TxMQHZx/bj5sU/xAuf+y4uH9XyfIpx6cOweMG38I25n8S6g7txrDgP0U4Asy4ai7kTL8GIpLT6RknIhPGDN/6IZ9a9CcsXzoMYqJgJRmFJ9QtrivG0V+n267IgHA6FOP5bt+xSNe4bcPQnW51t2tW0wu2Nli+UVFVh5cGdbZr9xwQEzx7H8YI8TB7adEp/c6YMz4CJjYOu8teLwTUhvHdoB36Of2v251uOZuF0cb7v9IctIoXLMiY2SVqx4sCHCFX6T/5hFUGXFWPbSX/LUq4ZMxWITQDVbnvntHH5WiSXc/skRMU122q11sX6fR9ixq/vw6/v+AI+d8X8Cya9JMfE4q7pV+O2qZEKXEsVB8MWz36wAj9a9gIqgwXgLlrCYhUhXJSHP2x4B1eNn45xjSpSPc4yjhQXIjv/LCYObv59bcjZhcpQZbNzBJgAFapstTcIADYd3oPKipKGyYPW4u7Z19andQ0bg/eyPkRbOvmYAB2qxJZj+zEmbajn5Kcxg0cgYUQGSs+d6pThhrZgtjh98jDmP/ED3H/Nx/D9Wz+LlJjmh3Xio6Jw+ajJuHTkxPq0oJpUk78vM2cXvvX60ziSm+0rv/lAQVoDrvuGjaJdXTUWXKdLr6CK36/M0waL0das4p1sZsYUpMUlgJnBzCisKMGq/dthnDYGNAZWHPgIpvZ1WvxCZCw0MXUIwBbMFq4x4MhLtLADDyM3mI+svNxIuUavZZmx5fhBUHEBbDMtCGNN02OaeT+utaixLkzaEIwZNLzhvTBjffZeoNGaS18YkU4pKgAAGzBJREFUyC7MQ0Fleeu/mxmOItw8cVbkIET+fq9jOuULgG0lIDIblBaewQN/+V+M/Z8v4dcr/oZ9eccRNgautTDMsMxwlIajNCwzDFu4lhE2BrtPH8Ev3nsJY376RfznXx9FRXEevAKwZW74vNDStdAyozT2H83CL5a/CMO25fPo9UKdzGqFc2XF2Hpif/PvCcD67D1wWx3zjezUdaz43IWvgci5+/BENnRFZEiGGEDqEEwfllFfrqKmBq/v2wrb1soqKaw+sA2VNTWe19TQhBRcnzG1xc1arG3lc2n0Oq61YJ+bMzRmAZjyYjyx6mWM+e97cd/f/oDMnF2orKlG2BoYtrAcuXYZgCJVH3wNW5wpK8azW/6BGx79Nj7x2Pdw9PgBsG05APv5eywzrI+/xVj28VrWVy7xLma1weKK36/s9OQc5+uylnAd17G7yeVXyHEW9ERrmDhyEf52xd/qa4A5BWegyor9TeFvhImw+IMVKK2qgG6ltkykUBqqhLEGUA62nT6Ox9e8juTYWDjawZGicyBu+vhlIlRWluK/33keV2RMhKk7V0RwjcHqnL3Nd20rjSfWvVE7W7f5C5eIUBKqwtbTR6C0xus7N2BDzm7AMgoqS7H77Im2zeYGwNrBwbwT+PnyP2NYUnqrS4csM6pqtxIk42LDkSwsXPVyl+/6o7WDrbmHUBOqRGszBK0JozAvFz9764/4+Vt/RCAxDZeNnIAxqUMwKDGpdkMHRll1CAXlJThefA4fnTyCcHlxi6/ZLKVxpCgPC1e/jFgnClCEY8F8WO2/LswEKGPwyu7NcHkhpg0dDdvMuXecAIq7cRIXk0KoLIhnNy3HmWAB3POSS0QHovHq3g/AbnWLHS6RYY4iPPLuc5g+NKPJ30WkUFBZih1njtafL2JGanwSFq17AzG145gloRBO5Wb7GgZqzDgab+7/EMNW/BUJrS3NIULYWBRUlOD87VOYCOHqEJ7a+DaGJCSDWwkkRApFVWXYc+4U2jtvhq2BW16MFze+g5c2vA1Ex2Hc8AzMGDISF6WkIykmFg5phI1BUWUZTgTzsTMvF/lnTjSpnLbyLgHLeHn7Ouw7fczzfj2Qf6rF5wiTQkWoEs+8vxyjUgY1e83WsQA2HMlq8eddrbYV/IrrsPds2U5ArV0onSXxG/NvgdJvszH+BmA7WWRWa+NaGjXbovTjwtdqGZOqr7HXHUMcGV9uqdapLEfW0Z7387rXav6Ytr2f88t3pEvN/++m+hs0sqPNhX9jZyOO/N72fNbEXDuZ6/z7o26/1La/JnDh9dPa5+olslFICxUvjkxC624tfbZe131jrf1d51+rzd2P3X09n8/vawAd+/ybEzkfLZ0/Qt1+v23R0jPpQt73mt9z09r57WqkdTWsubvssVWdultSS7q8JQwAOkS7OYpfto7+fE+0hiMPzfbfmI2157XackzkIm7bxdfWh05by7emPa/FRDDdud1POzQ8rDr3fbblWvDSnmulq3XGZ9uWv6szzyfQvuv5fJ3xGu3VUEH0d/78aMvn4aUnz40fkVaweVnXULe0goEuHhOuE3x6ZZ4y/AIbU9ZDlRshhBCiRUQAG1MG2D8Hn+76seA63RKEAYDh7gD4hfaOfwghhBBdRmkA/II2vNOraGfqtiAcXLKmIBDGy2zMOerlXRJCCCEGDlIKbEx+IIyXg0vWdCw/bht1azTkGt6lmJ7vNbkshRBCCCIQ83Ncw7u8ina2bg3CwWczg5b4DTamVFrDQgghelptK7gUil8PPpsZ9Crf2XogEtrdANZ5lRJCCCG6AxHWMsPf1nCdrNuDcPnjmeVE+B1be4jamtVGCCGE6CSkNdjaQwAWlj+eWe5Vvit0exAGAB0u3awt3oU1IerENX5CCCGEH0QKsCakLd7V4dLNXuW7So9EwOCSrWGrsQSWD6Id2YyEEEKIDlEEWD6oDC0JLtnaNM9qN+qRIAwAZY+tOgRgKawpkdawEEKI7kKkwMaUKKa/FT+50t/G6F2kR6Ofrol6Uhl0+5RwIYQQA5u22AWKfdKrXFfr0SAcfHp5ETE/ymzzZMmSEEKIrkZKgdnmGcWPljzxdhu3Qut8PR75TFTMu8RYzdZ27b52QgghBjy21iXGatIx73qV7Q7dspWhl+Sv3TDJBKLeI1Jj2ec2gUIIIURbECkw2yM6XHN7yZPre3QsuE6Pt4QBoPL5rdkA/sRsyyWjpRBCiM5GBDDbcgDP1MacXqFXBOFwKMQ6P/1XxNjdCxrmQggh+hlmgBi7dX76r8KhUK+JNL0iCANAydKlhtj+SDGd8yorhBBCtIViOkdsf1SydKnxKtudek0QBoDSRZlrGbwUQI8tnBZCCNHvhBm8tHRR5lqvgt2tVwVhAEBp1I+1xWGvYkIIIYQf2uIwSqN+7FWuJ/S6IFz2wrJSS3gYQIVXWSGEEMJDhSU8XPbCslKvgj2h1wVhACh7YtUr2uItmSkthBCivYgAbfFW2ROrXvEq21N6ZRCu9V1YHJe80kIIIdoqsksSjgP4rlfZntRrI1zJolWnAPsIIJm0hBBCtJV1teWHI7Gk9+q1QRgAdEH+X2H5LdLaq6gQQggBACCtActvoejc37zK9rReHYSDS/fUOEY9BOYTssGDEEIIL6QUwHzCMeqh4NI9NV7le1qvj2zlz23Yz9Z+BWwrZHxYCCFES4gUwLZc19ivlD+3Yb9X+d6g10e1cCjEVUPS1yqD37HT69+uEEKIHsKOgjJYyMXpa3tTasrW9ImoZh5eWqNC4T+R664kx/EqLoQQYoAhxwG57koVCv+pZOnSXt8NXadPBGEAcDPUKR2mX8K4hTI+LIQQog4pBRi3UIfpl26G6tWzoc/XZ6JZ2SNrLFCykQz/HESQRB5CCCGIIv8hwz8HSjZGYkXf0WeCMAAEl2wNEwIv6bB93gYCXsWFEEL0czYQgA7b5wiBl4JLtva5zX/6VBAGgMpn1ua7AXpUhc2Hsn5YCCEGLtIaKmw+dAP0f5XPrM33Kt8b9bkgHA6FWJ9N3U2Wf8HGlMiyJSGEGHiIFNiYErL8C302dXdfmQ19vj4ZwUqWLjU8xF0G8C+4T/4FQgghOiLy7Odf8BB3WcnSpcarfG9FzH2y8gAASPnKLUPdaH6dtL6KjZGpWkIIMQCQ1szGfOBU06eCT6/M8yrfm/XpdmTw6ZV5jlULybVHZNmSEEL0f6QUyLVHHKsW9vUADPTxIAwAwUUr/g62T7G1pTI+LIQQ/ReRAhkuYdgng4tW/N2rfF/QL6JW1TObfgvwXwHb56anCyGE8MuGGfzXsidW/9arZF/RL4JwOBRipyz0MDNWklJ9doBeCCFE80gpw4yVurzqEa+yfUm/CMIAEHx+0zlynIfZ2l0Kqu/ONhNCCNGEgmK2dhc5zsPB5zed8yrfl/SbIAwAZX94b5s29pcW9pSktRRCiL6PCLCwJ7Wxvyz7w3vbvMr3Nf0qCANAyeLMV5Xlx8hSuVdZIYQQvRtZKifmx0oWZ77qVbYv6tPrhFuT+MD8xUz4KvphRUMIIQYIS4ynyp5Ydb9Xwb6q3wYobcxDxFgmy5aEEKLvIVIgxjIo/NirbF/WbyNUcMmaAjjhL5Hlv0sgFkKIvoNIgSz/HU74S2WPrSr0Kt+X9dvu6DoJ35w/nlwshVJzmPvUNpNCCDHgECnA2m3sYEH5o6sOe5Xv6/p9EAaAxAfmXcWkXifCsAHw5wohRJ9EBDDjLLH9VNkTmR94le8PBkQ/bdkTmR8Q2/vJUrUsXRJCiN6HCCBL1cT2/oESgIEBEoQBILkg721L5gHI+LAQQvQ+pGDJPJBckPe2V9H+ZMBEpJNLs4yOrv6LMvR9BLRXcSGEEN0loKEMfV9HV//l5NKsAZV6eMAEYQAoWbipilH1FMLmdxzleBUXQgjRxTjKAcLmd4yqp0oWbqryKt/fDKggDAClT6wv1ohZqML2GQQCXsWFEEJ0lUAAKuw+A9iFpU+sL/Yq3h8NiNnRzUn8xvwMQC2Eps+wO6B6P4QQoseRo0EuXjUB/nbF71ec8CrfXw3YIByIiaH4L143zmg8xlp/DNbIvGkhhOgOSrN2zXKy+I/gkv6/Frg1AzYI10l84ObJAC2Go29kYwZc97wQQnQn0trCNesAvr/sidUHvcr3dwM+CANA0tfnzWCiJdD6arZWArEQQnQBUsrCmM3EfF/posy9XuUHAgk4AEoXZe51QniArX2flJJaiRBCdDIixWzt+04ID0gAbiAt4UaSHrhlFoNfh1LjJM+0EEJ0jtp80Id1OPzp4FPrdnuVH0ikJdxI6RMrdytrH2E2R2XnJSGE6DgiBWZzVFn73xKALySR5jwlizNfVJYfIstHJBALIUT71W5JeERZfqhkceaLXuUHIokyzShdlPkS2DzMbCUQCyFEO0RawPYI2DxcuijzJa/yA5VEmBaULsp8SVn7MFnOlp2XhBDCv8iOSJytrJUA7EGCcCtKF2W+pAz/iBmHpEUshBDeIi1gHFKu+yMJwN5kdrQPqV+7abYbpRcyY55XWSGEGKhqew0znRrz7eIn1+z0KC4gLWFfip9cs5OM/aZi+gcpOWVCCHE+UgrMeI+M/aYEYP8kovhUuihzLyv+D7b2DdKyH7EQQtQhrQG2rxPhm5KIo20kCLdB2WOrDilrvwXX/AUB2Y9YCCEQcADX/IWM/c+yx1Yd8ioumpIg3EalizKPsWO/h7D7tARiIcSAFnCAsPs0O/Z7pYsyj3kVFxeSiVntlPJv84a58eqbCDjfR9j1Ki6EEP1LJAD/yqmwjwafzTzrVVw0T4JwB8T/57wUqlH/TqR+C1jIqRRC9HeRGdAKzPa7HGX/WPG/mUGvY0TLJAh3UMp9H48zunIBFBYDKlo2fhBC9FeRfAm2Ghb3axO3NLjkrUqvY0TrJAh3gpT7rggYnXg7Ez1JSg1jK4FYCNG/kFJga88S89e0KVseXLI17HWM8CYTszpBcMnWMIbd+A6x/RRbu032JBZC9CekFLO124jtpzDsxnckAHceaQl3spT75o83Af41lPMJNkamTwsh+jTS2oV139Rh+l5wyarDXuVF20gQ7gIpX7k9zUa532dN32Rro7zKCyFEb0RK1ZDhR1WN86vg08uLvMqLtpMg3EVS7rsiYFXiH6yiLwBI8CovhBC9TLmy/Gdly/4/6X7uOhKEu1jS1+d9G6S/yYpGycxpIURvR6RAlnMZ9g9lT6z+X6/yomMkCHeDxAdu/jgTPUSkLgWsklMuhOhtatf/Wma7nZh/VvbE6re8jhEdJ0G4m6Ted8s0V/OvoHCrrCcWQvQmjdb/rnAMfb94ycp9XseIziFBuBul3HdrsuvYnwL4HCmVLuuJhRA9rXb9byGAl0hHP1T26LulXseIziNBuAckPjD/G0y4n5SaKoFYCNFTagPwfmIsLnti1WNe5UXnkyDcQxIenH8rMX4IpW4EAOmeFkJ0l0j3MwBr1zHhF+WPr1rR+hGiq0gQ7kEJD86bQKweYcKnSes4NsbrECGE6BDSGmxMJTFeY7I/KX88M8frGNF1JG1lDyp/PDMHQ8y92rj3wJq1HCUJtoQQXYejHMCatdq492CIuVcCcM+TlnAvkfK1uTNtIOqrTHiQiQArrWIhRCdRGhR51j+ma2qeDj65do/XIaJ7SBDuRVK+cnsaB8ILWKmHbEAPR1iS1AghOigQgAqbM8z2p7om8LKkn+xdJAj3Min3XREwgaSrmfEdBJy7ybUyaUsI0WZECuwokGvfAuxCHS7dLOknex8Jwr1UwjfnjSRXfY4JPyStk2TSlhDCr9rJV6XE+AU79qXyRzNPeh0jeoYE4V4s+dvXxqIq9momeogDei67rtchQogBjhwHFDZriflniK3aXLJwU5XXMaLnyOzoXqxk4aYqO9SsVaHQ59h1XySCJSUfmRDiQqQUiGDZdV9UodDn7FCzVgJw7yct4T4i4cF5CcrSHUz0c2g1QTJtCSHqkFKAsTnE/COreFn545nlXseI3kGCcB+SvGCBpoTgUBtjH7HE/0qEOPn4hBi4iABmVCqmF1VI/YTLU/JKli6VCSR9iAThPih5wQJtBxXeSqBfWeJpACTLhxADj6uY9lni7+n89JUSfPsmCcJ9WMq/zYtBrPNjV9mvKqh0CysDxkL0cwrKWthCx6qnUOX+T/DZzJDXMaL3kiDcD6R+7abZ4YD+HYAriJAoH6kQ/U9t13MZgK2BsPlO8ZNrdnodI3o/CcL9SMKDN3+dmL5FoNGsKEqSfAjR9xEpkOUaBp9g4t+XP756kdcxou+QINzPJDw4b5hi/RNWfAczRhIpybglRB9Ud+8S4SRZWmbJPFL+eOZZr+NE3yJBuJ9K+vrceQTn+1arOVCUBssSjIXoA4gUoAiwXKSM3cZwf1W6aG2m13Gib5Ig3I/FXXZ5IHBF8tcs4YtMmEpax8EayEcuRO9DBEDV7/W7XzGeC28tebLyow8l33M/JkF4AEj58vUjODr660bhbgDTSSktyT6E6D1IKbC1BkCWtnibqqsXBf+04bTXcaLvkyA8gKR8/dZLDNmvQOFTrNQwYkCCsRA9h5QCE0DWnoXF65rV08FFK3Z4HSf6DwnCA0wgJoZivnzdFwF8mgnXkdYpMl4sRPeqG/dlY4LE2AjgtdCfNj4XDoXkgTzASBAeoBIXXBOrU6PnsA7cZch+kbQeKsFYiK7VKPjmaVbPkQm/Y4qrt5UtfV82WhigJAgPcImfvyMJKTWzmXEPgC9AO0lkrQRjIToRkQIrBRi3lBjPQ+FVBKN2lr2wrNTrWNG/SRAWAIDEb8xPBzBdG1rgKv4SOU4MjCszqYXoACIA2gG7bsix9IzRvNRGBfZWLFxe5HWsGBgkCIsmEr8xP127mG4VfcES/xs5WsHIsiYh2iISfDXYNVYxPass/9k4yCp7bFWh17FiYJEgLJqVct9Ng4ymqUzqXgD3IuA45Eo3tRCtIVJgRwFh1wXwPLF9XhveH1yypsDrWDEwSRAWrYr/9u1pUeXueNb4V1fxlxBwEiQYC9FUo+Bb7lh6hgxerElwDku3s/AiQVj4kvLl6xMpEDMq7PA/K6av2ig9XIKxGOjqgq+qMWcs8VMBl17mcCg3+KcNZV7HCgFIEBZtlLjgmlgMjhqkrPMxJrqfHXWJpMIUA01dikly7Q5iXmyV+x7yawpkqZFoKwnCol0SfzLPoapwLMpjP2VhvwHgEgDa6zgh+gEDYIeCegwJVa9zbKCq7JFM1+sgIZojQVh0SOJPblL6TIUmTrzGOOrfWfEdAJKY4XgdK0RfQQQXQClZWqZd+0emsvfN8HhT9sgaGY8RHSJBWHSq5PtuHM466rPE/GWjkAEgBtJCFn2TARDSFseZ6E9kav5asmTdGa+DhGgLCcKiyyTfP/cOkPNvRuFaIiQxI54IMn4seqW6a5MIFcwo1RabwO6zJYvXLvM6Voj2kiAsulzKl28bYeLczzHTPUQYTZZSWVMUGDK7WvQoIgUQQIZrWHExM04Q8Su60nkp+Kd/yFaCostJEBbdKvnr8+cx0QJLfD2AQQDSSCktAVl0l7rAW7t/bxGAAsW0gZiXlixalel1vBCdSYKw6BFJ/3V9vK2M/riyfCdrmsWM4URqEBOBWHZzEp2LSKHRtVVAhDNkeLdV9K6Kq36r9DcbKrxeQ4iuIEFY9LiEB+cNA9TdAD5JhDHMGEFKpYAIsr2iaK+6bQPBDLY2SITTzDgG4A3Avl3+eOZZr9cQoqtJEBa9Ssr9N1/sapoP4BoijCdLo1hTWt2sGbYSkEXLSKn6GVZkuIgV5zLjMID3HcOrgotX7/J6DSG6kwRh0Wul3HfrTKPtXABXMWEcgNFEagR0pIUs48iibnwXigDDYLanAZwgxhEAH2ij1gaXrNjj8TJC9BgJwqJPSP3aLZOs5isZfDUTTWbCGACjEHACZFlayQNIXWuXFQFhNwwglxjHiPkggTYrQ1uKn1x5yOt1hOgNJAiLPifp3tvidazNCDtmNKAmAJgD4DIAMxAIgKyVoNyPNARdBYTDALAXwEcAtgE2J+DqE6ZKHS99/h8yuUr0ORKERZ+XfN+Nw22UvoiMHgmiKcS41MLOhqMnWk1QRlrKfUld0K3/7FyTraB2MmE7mA+wNidVjTkl2atEfyBBWPQr+qcLouLPlQxlcgdro8Za4ukMnsOEWaT1GKsVlGWwZVkK1QvULx1SBKsIyliwMceIsZtA2xRTltH2KLGTXzEkOc88vLTG6zWF6EskCIt+Lene2+JVLKe70SZVhymdLE21Dl0M5tmWeDZHBwJUG5Ajk72spNXsIkQAapcNce2YLlWHw4ppJ4h2Kpd3seL9JsCFTrUutlVUKF3Mor+TICwGlJT7rggA8cmAToZSSa6yI4l5hmY13RJmWOJpHBUIEDOIEUkmLF3ZbVa/VIgITIi0dmvCYcW0TzH2GrJZTLTXseokrC0FTAlQURJcsjXs9dpC9CcShMWAl3LfFXFAfJwJ6HiAE7SLYUbxFCY1STFNtMQTodUE1grKomEHCh7YLef6li1R/TesAshYwNgcxZRtibOJ7SFt6YBxcBagch02FUBFZXDJ1spWf4EQA4AEYSGakfjNO6MBROvqyihWOpqsSSQ4o1hhnNE8XhsaazSPYcYEcnRKZLFq3dplgGr/H+i7a5mJVO3/AAyqDbq13wCDXRMkQo42dMxoPqoNHSaLIww3l5UuI2uqTXRcDYDqskffrW7xFwkxgEkQFsKnQEwMxX9iYgCpYx0TbRzrWCdQ6gbgOLGWai6yikYCGAVgpGY1ypC9CMAQxTSUNcXV75XX2AW3X0PA7qxbs66hGqHO+2HTfzbKNlVpifMAnNOsThmyuQBOAshVlk8qjjoF160KJzlh5SpXV2sXxUfdijezw+FQqJPeuRD9nwRhITpBICaG4j7xCUWpRxWqEzSiE5TrlCvSsUpXh8lEV0fpKhpkop3B2sVFIJXiKpsMIJkYKVBIIcNJIJVkiWOJEU2gBEscAyCOGIoJMQAcj7fiEiPEBAugUjGFGFzOhGrFVAW2pVZRGTGKmRAEUOJYVQK2QePglK52800sF+jq6BoTHWA2VdZxEyyqyy2iyw0Xj7WVb75pJdAK0TkkCAvRjQIxMRTzg6sJ6iaovVlk888RbiToM+WRNmlxFTGmoXw6EFdY3qSdqkurzm+3NsskxTa5qSvTEzghCyDsA1IjPzPDExjrGGrwELYzpjPsGoR+uZkluArRvSQICyGEED3k/wdJASMKdN+mWQAAAABJRU5ErkJggg==\"\n  }))))));\n}\n\nvar ForwardRef = /*#__PURE__*/React.forwardRef(SvgLogoAmazonWatch);\nexport default __webpack_public_path__ + \"static/media/logoAmazonWatch.79c45e2d.svg\";\nexport { ForwardRef as ReactComponent };","import { useCallback } from 'react';\nimport { Container, Title, Countries, Button, ContainerLogo } from './styles';\nimport { ReactComponent as Logo } from '../../../assets/institutional/logtipoBrics.svg';\n\ninterface TopBarProps {\n  setIsOpenMenu: React.Dispatch<React.SetStateAction<boolean>>;\n}\n\nconst TopBar: React.FC<TopBarProps> = ({ setIsOpenMenu }) => {\n  const handleOpenMenu = useCallback(() => {\n    setIsOpenMenu(true);\n  }, [setIsOpenMenu]);\n\n  return (\n    <Container>\n      <Button type=\"button\" onClick={handleOpenMenu}>\n        <span />\n        <span />\n        <span />\n      </Button>\n      <Title>\n        <h1>\n          Observatório dos Sistemas Nacionais de Proteção Socioambiental da\n          Região Amazônica\n        </h1>\n        <Countries>\n          Bolívia <span>|</span> Brasil <span>|</span> Colômbia <span>|</span>{' '}\n          Equador <span>|</span> Peru\n        </Countries>\n      </Title>\n\n      <ContainerLogo>\n        <Logo width={50} attributeName=\"Logo\" />\n      </ContainerLogo>\n    </Container>\n  );\n};\n\nexport default TopBar;\n","import { useCallback } from 'react';\nimport { Container } from './styles';\n\nimport TopBar from './TopBar';\n\ninterface HeaderProps {\n  setIsOpenMenu: React.Dispatch<React.SetStateAction<boolean>>;\n}\n\nconst Header: React.FC<HeaderProps> = ({ setIsOpenMenu }) => {\n  const handleOpenMenu = useCallback(() => {\n    setIsOpenMenu(true);\n  }, [setIsOpenMenu]);\n\n  return (\n    <Container>\n      <TopBar setIsOpenMenu={handleOpenMenu} />\n    </Container>\n  );\n};\n\nexport default Header;\n","import styled, { css } from 'styled-components';\n\ninterface ContainerButtonFormMenuProps {\n  color?: string;\n  bgColor?: string;\n  border: string;\n  width?: string;\n  iconEye?: boolean | null;\n}\n\nexport const ContainerButtonFormMenu = styled.button<ContainerButtonFormMenuProps>`\n  outline: none;\n  padding: 10px;\n  width: 100%;\n  max-width: ${({ width }) => (width != null ? width : '130px')};\n  border: 2px solid;\n  border-color: ${({ border }) => border};\n  border-radius: 8px;\n  color: ${({ color, theme }) =>\n    color != null ? color : theme.colors.grey[1]};\n  background: ${({ bgColor, theme }) =>\n    bgColor != null ? bgColor : theme.colors.white};\n  font-size: 12px;\n  font-weight: 600;\n  font-family: ${props => props.theme.font.Roboto};\n  transition: all 0.5s;\n\n  ${({ iconEye }) => {\n    if (iconEye) {\n      return css`\n        display: flex;\n        align-items: center;\n        justify-content: center;\n        position: relative;\n\n        div {\n          background-color: ${({ theme }) => theme.colors.green[2]};\n          border-radius: 50%;\n          width: 20px;\n          height: 20px;\n          color: ${({ theme }) => theme.colors.grey[2]};\n          position: absolute;\n          left: -11px;\n          display: flex;\n          align-items: center;\n          justify-content: center;\n        }\n      `;\n    }\n    return '';\n  }};\n\n  &:hover {\n    color: ${({ theme }) => theme.colors.grey[1]};\n    border-color: ${({ theme }) => theme.colors.grey[1]};\n\n    ${({ bgColor }) => {\n      if (bgColor) {\n        return css`\n          color: ${({ theme }) => theme.colors.white};\n          background: ${({ theme }) => theme.colors.grey[1]};\n        `;\n      }\n      return '';\n    }};\n  }\n`;\n","import { ButtonHTMLAttributes } from 'react';\n\nimport { BsEye } from 'react-icons/bs';\nimport { ContainerButtonFormMenu } from './styles';\n\ninterface ButtonFormMenuProps extends ButtonHTMLAttributes<HTMLButtonElement> {\n  imgSrc?: string | null;\n  color?: string;\n  bgColor?: string;\n  alt?: string;\n  text: string;\n  width?: string;\n  border: string;\n  iconEye?: boolean | null;\n}\n\nexport const ButtonFormMenu: React.FC<ButtonFormMenuProps> = ({\n  imgSrc,\n  color,\n  bgColor,\n  alt,\n  text,\n  width,\n  border,\n  iconEye,\n  ...rest\n}) => (\n  <ContainerButtonFormMenu\n    border={border}\n    width={width}\n    color={color}\n    bgColor={bgColor}\n    iconEye={iconEye}\n    {...rest}\n  >\n    {imgSrc && <img src={imgSrc as string} alt={alt} />}\n    {iconEye && (\n      <div>\n        <BsEye size=\"15\" />\n      </div>\n    )}\n    <span>{text}</span>\n  </ContainerButtonFormMenu>\n);\n","import styled, { css, keyframes } from 'styled-components';\n\ninterface ContendMenuProps {\n  active: boolean;\n}\n\ninterface ContainerMenuProps {\n  active: boolean;\n}\n\ninterface FormFilterProps {\n  active: boolean;\n}\n\ninterface ColButtonsProps {\n  isWrap: boolean;\n  marginLeft?: number;\n  active: boolean;\n}\n\ninterface HeaderMenuProps {\n  active: boolean;\n}\n\ninterface RowknowMoreProps {\n  active: boolean;\n}\n\ninterface RowButtonsProps {\n  active: boolean;\n}\n\ninterface RowLogosProps {\n  active: boolean;\n}\n\ninterface BottonCloseProps {\n  active: boolean;\n}\n\nconst animationShowMenu = keyframes`\n  0% { max-width: 0; background: #243842;}\n  45% { background: #fff;}\n  100% { opacity: 1; background: #fff;}\n`;\n\nexport const fadeInTopBottom = keyframes`\n\tfrom {\n\t\topacity: 0;\n\t\tposition: relative;\n    top: -100px;\n\t}\n\tto {\n\t\topacity: 1;\n\t\tposition: relative;\n    top: 0;\n\t}\n`;\n\nconst fadeInBottomTop = keyframes`\n\tfrom {\n    position: relative;\n    top: 100px;\n\t\topacity: 0;\n\t}\n\tto {\n    position: relative;\n    top: 0;\n\t\topacity: 1;\n\t}\n`;\n\nexport const fadeInCenterTop = keyframes`\n\tfrom {\n    position: relative;\n    top: 0;\n\t\topacity: 1;\n\t}\n\tto {\n    position: relative;\n    top: -100px;\n\t\topacity: 0;\n\t}\n`;\n\nconst fadeInCenterBottom = keyframes`\n\tfrom {\n    position: relative;\n    top: 0;\n\t\topacity: 1;\n\t}\n\tto {\n    position: relative;\n    top: 100px;\n\t\topacity: 0;\n\t}\n`;\n\nconst fadeInLeftRight = keyframes`\n\tfrom {\n\t\topacity: 0;\n\t\tposition: relative;\n    right: 200px;\n\t}\n\tto {\n\t\topacity: 1;\n\t\tposition: relative;\n    right: 0px;\n\t}\n`;\n\nconst fadeInRightLeft = keyframes`\n\tfrom {\n\t\topacity: 0;\n\t\tposition: relative;\n    left: 200px;\n\t}\n\tto {\n\t\topacity: 1;\n\t\tposition: relative;\n    left: 0px;\n\t}\n`;\n\nconst fadeInCenterLeft = keyframes`\n\tfrom {\n\t\topacity: 1;\n\t\tposition: relative;\n    right: 0;\n\t}\n\tto {\n\t\topacity: 0;\n\t\tposition: relative;\n    right: 200px;\n\t}\n`;\n\nconst fadeInCenterRight = keyframes`\n\tfrom {\n\t\topacity: 1;\n\t\tposition: relative;\n    left: 0;\n\t}\n\tto {\n\t\topacity: 0;\n\t\tposition: relative;\n    left: 200px;\n\t}\n`;\n\nexport const ContainerMenu = styled.div<ContainerMenuProps>`\n  background: rgba(0, 0, 0, 0.8);\n  width: 100vw;\n  height: 100vh;\n  position: fixed;\n  z-index: 6;\n  visibility: ${({ active }) => (active ? 'visibility' : 'hidden')};\n  transition-delay: ${({ active }) => (active ? '0' : '0.7')}s;\n  max-width: ${({ active }) => (active ? '100vw' : '0px')};\n  animation-duration: ${({ active }) => (active ? 'none' : '0.7')};\n\n  ${({ active }) => {\n    if (active === false) {\n      return css`\n        transition-delay: 1.2s;\n      `;\n    }\n    return '';\n  }};\n`;\n\nexport const ContendMenu = styled.section<ContendMenuProps>`\n  width: 100%;\n  max-width: ${({ active }) => (active ? 850 : 0)}px;\n  animation: ${({ active }) => (active ? animationShowMenu : 'none')};\n  animation-duration: 0.6s;\n  overflow-x: hidden;\n  transition: max-width 0.6s;\n  background: #fff;\n  height: 100vh;\n  overflow: hidden;\n\n  ${({ active }) => {\n    if (active === false) {\n      return css`\n        transition-delay: 0.5s;\n      `;\n    }\n    return '';\n  }};\n`;\n\nexport const ButtonClose = styled.button<BottonCloseProps>`\n  background: #253741;\n  border-radius: 50%;\n  outline: none;\n  border: none;\n  width: 30px;\n  height: 30px;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  margin: 20px 20px 0 auto;\n  opacity: ${({ active }) => (active ? 1 : 0)};\n  transition: ${({ active }) => (active ? 'none' : 'all 0.3s')};\n  transition-delay: 0.5s;\n  position: relative;\n  z-index: 1;\n`;\n\nexport const FormFilter = styled.form<FormFilterProps>`\n  color: ${({ theme }) => theme.colors.grey['2']};\n  display: flex;\n  bottom: 0;\n  flex-direction: column;\n  margin-top: -30px;\n`;\n\nexport const HeaderMenu = styled.div<HeaderMenuProps>`\n  display: flex;\n  gap: 20px;\n  align-items: center;\n  animation: ${({ active }) => (active ? fadeInTopBottom : fadeInCenterTop)}\n    both;\n  animation-duration: 1s;\n  animation-delay: ${({ active }) => (active ? 0.1 : 0.5)}s;\n  white-space: nowrap;\n  padding: 0 20px;\n\n  h1 {\n    color: ${({ theme }) => theme.colors.grey['2']};\n    font-size: 30px;\n    font-family: ${({ theme }) => theme.font.Roboto};\n  }\n`;\n\nexport const Main = styled.div`\n  display: flex;\n  margin: 20px 20px 0;\n`;\n\nexport const ColButtons = styled.div<ColButtonsProps>`\n  display: flex;\n  flex-direction: column;\n  gap: 15px;\n  width: 100%;\n\n  ${({ isWrap }) =>\n    isWrap &&\n    css`\n      flex-direction: row;\n      flex-wrap: wrap;\n    `}\n\n  ${({ marginLeft }) =>\n    marginLeft &&\n    css`\n      margin-left: ${marginLeft}px;\n    `};\n`;\n\nexport const RowButtons = styled.div<RowButtonsProps>`\n  display: flex;\n  gap: 20px;\n  align-items: center;\n  justify-content: center;\n  margin-top: 20px;\n  padding: 25px;\n  background: ${({ theme }) => theme.colors.green['7']};\n  animation: ${({ active }) => (active ? fadeInRightLeft : fadeInCenterRight)}\n    linear both;\n  animation-duration: 0.5s;\n  animation-delay: ${({ active }) => (active ? 0.5 : 0)}s;\n  opacity: 0;\n`;\n\nexport const RowknowMore = styled.div<RowknowMoreProps>`\n  margin: 20px auto 0;\n  padding: 20px 40px;\n  width: fit-content;\n  animation: ${({ active }) => (active ? fadeInLeftRight : fadeInCenterLeft)}\n    linear both;\n  animation-duration: 0.5s;\n  animation-delay: ${({ active }) => (active ? 0.5 : 0)}s;\n  opacity: 0;\n\n  div {\n    width: 35px;\n    height: 2px;\n    opacity: 0.8;\n    background-color: ${({ theme }) => theme.colors.green['1']};\n    margin: 0 auto 10px;\n  }\n\n  h2 {\n    color: ${({ theme }) => theme.colors.grey['2']};\n    font-size: 18px;\n    font-weight: 800;\n    margin-bottom: 5px;\n    font-family: ${({ theme }) => theme.font.Roboto};\n    text-align: center;\n    display: flex;\n    align-items: center;\n    justify-content: center;\n  }\n\n  p {\n    color: ${({ theme }) => theme.colors.green['6']};\n    font-weight: 600;\n    font-size: 16px;\n    font-family: ${props => props.theme.font.Saira['1']};\n    display: flex;\n    align-items: center;\n    gap: 5px;\n  }\n`;\n\nexport const RowLogos = styled.div<RowLogosProps>`\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  gap: 40px;\n  margin-top: 15px;\n  animation: ${({ active }) => (active ? fadeInBottomTop : fadeInCenterBottom)}\n    linear both;\n  animation-duration: 0.5s;\n  animation-delay: ${({ active }) => (active ? 0.5 : 0)}s;\n  opacity: 0;\n\n  article {\n    display: flex;\n    flex-direction: column;\n    justify-content: space-between;\n\n    h2 {\n      font-family: ${({ theme }) => theme.font.Roboto};\n      font-size: 12px;\n      color: ${({ theme }) => theme.colors.grey['2']};\n      text-align: center;\n    }\n\n    div {\n      display: flex;\n      align-items: center;\n    }\n  }\n`;\n","import styled from 'styled-components';\nimport { fadeInCenterTop, fadeInTopBottom } from '../styles';\n\ninterface ContainerFilterColumnProps {\n  widthContainer: string;\n  active: boolean;\n}\n\nexport const ContainerFilterColumn = styled.article<ContainerFilterColumnProps>`\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  gap: 25px;\n  width: ${({ widthContainer }) => widthContainer};\n  animation: ${({ active }) => (active ? fadeInTopBottom : fadeInCenterTop)}\n    linear both;\n  animation-duration: 0.5s;\n  animation-delay: ${({ active }) => (active ? 0.5 : 0)}s;\n  position: relative;\n\n  h3 {\n    font-size: 15px;\n    font-weight: bold;\n    text-align: center;\n  }\n`;\n\nexport const Separator = styled.div`\n  background: repeating-linear-gradient(\n    0deg,\n    transparent,\n    transparent 8px,\n    ${({ theme }) => theme.colors.grey['1']} 10px,\n    ${({ theme }) => theme.colors.grey['1']} 15px\n  );\n  width: 2px;\n  height: auto;\n`;\n","import { ColButtons } from '../styles';\nimport { ContainerFilterColumn } from './styles';\n\ninterface FilterColumnProps {\n  titleColumn: string;\n  widthContainer: string;\n  isWrap?: boolean;\n  marginLeft?: number;\n  active: boolean;\n}\n\nexport const FilterColumn: React.FC<FilterColumnProps> = ({\n  titleColumn,\n  children,\n  widthContainer,\n  isWrap = false,\n  marginLeft,\n  active\n}) => (\n  <ContainerFilterColumn widthContainer={widthContainer} active={active}>\n    <h3>{titleColumn}</h3>\n\n    <ColButtons\n      active={active}\n      isWrap={isWrap}\n      marginLeft={marginLeft != null ? marginLeft : 0}\n    >\n      {children}\n    </ColButtons>\n  </ContainerFilterColumn>\n);\n","const theme = {\n  colors: {\n    none: '',\n    white: '#fff',\n    green: {\n      1: '#243842',\n      2: '#8DC63F',\n      3: '#3A4C55',\n      4: '#96CE3E',\n      5: '#006633',\n      6: '#96cf3a',\n      7: '#f2f1e9'\n    },\n    blue: {\n      1: '#374EA2',\n      2: '#65747B'\n    },\n    yellow: {\n      1: '#FFCB05'\n    },\n    red: {\n      1: '#F04E30'\n    },\n    grey: {\n      1: '#B3B3B3',\n      2: '#303e43'\n    },\n    beige: { 1: '#E4E2D5', 2: '#e8e7e0', 3: '#DFDDD0' },\n    background: '#F1F0E9'\n  },\n  font: {\n    Ralaway: 'Raleway',\n    Oswald: 'Oswald',\n    Roboto: 'Roboto',\n    Saira: {\n      1: 'Saira Extra Condensed'\n    }\n  }\n};\n\nexport default theme;\n","import styled, { css } from 'styled-components';\nimport theme from '../../../styles/theme';\n\ninterface ContainerItemFilterProps {\n  borderColor: string | null;\n  widthContainer?: string | null;\n  imgOff?: string | null;\n  imgOn?: string | null;\n  imgOver?: string | null;\n  imgFixa?: string | null;\n}\n\nexport const ContainerItemFilter = styled.label<ContainerItemFilterProps>`\n  display: flex;\n  justify-content: center;\n  align-items: center;\n  position: relative;\n  user-select: none;\n\n  &:hover {\n    div {\n      background: url(${({ imgOver }) => imgOver || 'none'});\n      ${({ imgFixa }) => {\n        if (imgFixa) {\n          return css`\n            background: url(${imgFixa});\n          `;\n        }\n        return '';\n      }};\n    }\n\n    span {\n      color: ${theme.colors.grey['1']};\n      border-color: ${theme.colors.grey['1']};\n      transition: all 0.5s;\n    }\n  }\n\n  div {\n    width: 25px;\n    height: 25px;\n    background: url(${({ imgOff }) => imgOff || 'none'});\n    ${({ imgFixa }) => {\n      if (imgFixa) {\n        return css`\n          background: url(${imgFixa});\n        `;\n      }\n      return '';\n    }};\n    position: absolute;\n    left: 32px;\n    transition: background 0.5s;\n  }\n\n  input {\n    position: absolute;\n    visibility: hidden;\n  }\n\n  input:checked ~ span {\n    background: ${theme.colors.grey['2']};\n    color: #fff;\n  }\n\n  input:checked ~ div {\n    background: url(${({ imgOn }) => imgOn || 'none'});\n\n    ${({ imgFixa }) => {\n      if (imgFixa) {\n        return css`\n          background: url(${imgFixa});\n          border: 1px solid ${theme.colors.white};\n          border-radius: 50%;\n        `;\n      }\n      return '';\n    }};\n  }\n\n  span {\n    outline: none;\n    border: solid 2px;\n    border-color: ${({ borderColor }) => borderColor || '#303e43'};\n    border-radius: 8px;\n    width: 100%;\n    max-width: ${({ widthContainer }) => widthContainer || '130px'};\n    display: flex;\n    align-items: center;\n    justify-content: center;\n    background: #fff;\n    transition: background 0.5s;\n    cursor: pointer;\n    min-height: 35px;\n    font-size: 12px;\n    font-weight: 700;\n    white-space: initial;\n    padding: 10px;\n    transition: all 0.5s;\n    font-family: ${theme.font.Roboto};\n    font-weight: 600;\n  }\n`;\n","import { ContainerItemFilter } from './style';\n\ninterface ItemFilterProps extends React.InputHTMLAttributes<HTMLInputElement> {\n  text: string;\n  color?: string;\n  widthContainer?: string | null;\n  imgOff?: string | null;\n  imgOn?: string | null;\n  imgOver?: string | null;\n  imgFixa?: string | null;\n}\n\nexport const ItemFilter: React.FC<ItemFilterProps> = ({\n  text,\n  color,\n  widthContainer,\n  imgOff,\n  imgOn,\n  imgOver,\n  imgFixa,\n  ...rest\n}) => (\n  <ContainerItemFilter\n    borderColor={color || null}\n    widthContainer={widthContainer || null}\n    imgOff={imgOff || null}\n    imgOn={imgOn || null}\n    imgOver={imgOver || null}\n    imgFixa={imgFixa || null}\n  >\n    <input type=\"checkbox\" {...rest} />\n    <div />\n    <span>{text}</span>\n  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n7ziWt685lImW5OMZLJe5cd6XaZ70/zUE3ey7/5tMDcDrRbkuXg4dYmEooA857Zt23jHldezZXwTZR2eSCZc4iUSXEAZRQiKwmi6tmT39GGqHY+J4mgNLQjPevFWbAXtEkZGabzhjfzyyq28ce3FNEyDlsnRSvHoid3ceXQP/+vxr8DTT8LwpEifU/OwdFLWOTgHQ004epiHH3mEjbesEmWzcDI+8ZKoPb5aSWvnOXhqivDAA+Jl+lK8Sz0GrRbveNVNvHbDJYCsiP9+Y/EUStS4Z05LKBhMhPuADXCkPctf7voarGjFMJeVL1onXobrweF5Vlx5JY+97acZHx/HGCMLIHsWlRnUcEHwo3xm6G18rljOL26/DY5PwQpZ6EjIoaxgpAnLJtjx5CE+sf9JXr92E63oigaeazkkEt8MtdzOtUYBR7qWf9z5MMwdgTXj9FdWBy/CvgvMd1mtl/PWS6/jI294t8j/qAQskqm1dfwS3nXBJdwwuZa/mP4HPnPyGRgagSVj0OvIifMClIPRJr++86tccPmV3LxqzeDa6A9LWdqykKRwTqNupzposTDd2oXQz+4azjUbW+N84BVvxDnL8nlHs9HgmAls2XwhP3PpDRSNAhcfe+2J1Ml7C6a1zkkWT6F8AwKIho9u45GpY3D0KFLrJkiasPOneyfr1vGhK29h2eSkGHhOMrTyWCYaLUX0JppLePvLb+S3quPsv/NzEqNWOqYVB3CVhByynL/b/zT/99UOlRmsd2ilUWlgJV4KSkkfNopeVVG5ikd27ohZhEZSSfM4zIwWZdBs8dYrruWnLn+1HCKWBvKVwxvxdBRgnef6lRdj3qH5zGf/DE6cgKXjEqfP6mN6GBlh9xNP8+zsUW5etQbvPDqlwy8aCoW3Dp0ZgoflSyf4d69/D9Z7ljYKSl8xU1YMZU2KRkFwHqdAfx/OoXzL7lhKPzxXI/ec5/HduyCroMlg8rzO2Op0wHk+vOUa3rXxSnw0GZomo6kzyd02mq4PzFvLmHZsHh/ndy+4iqvG14sLmivxeLSBjpMMjOUtjk3t5URV0nYO6wM2zaEkXiJBK4LRWO+wBHbPHOGfpw5APgI9L3W5shyGGmK+dXuwag0f3HQ1r1ixcpCI4jxaKyoXaFeOUFpM5VjeVLxr0+XcfMl1MB9gfl48lWYu3klmwHvKvOSvD+2i9J6K8Jz5QcXp3rgLA+v5+5nAIFKhWLCaIKZ51Rm+ISpoYz2hW7F5rMXFEyMsbRaM5TmXLh1nXcPQm2mjtML5QOm81BJc0PD18XN9bs5nfctvqa78GyqZt1AK9u3bK8I+yyX7pZ7TGJZqnIyOct3lVxCCVF+tn4fWUjm4XotZmJxm0aBTlWwe38BlGy+QD4YA3g4yxfJcFMz8PL2qR6csUeq5q14TiW+WWhAZZWhmOSd685TT0+JBhCDSqiqlL5YlaE1j5QYu2rCJubJHsLHvG42krQZ8XS1bDdLcf2TZBphcJgql2YSyF71wJetT8oLPzZ8g11qqaKe+vWiU1qKQrTTQClVkeOclhO89rTzHlZYsMzTGYvFOYxgE0r5/WDyFUoehqAeY/BSxCmrtWcyUjoOhkrQTH0NSwUGRQ29esl+GJnjteRdy3kjzOXMcSitQiqaR/ZgzrWjlBataBW8670KZ4I8hLpSBoEWZNAxkgR3TR7AYGsagA3F/gjDwpHzAVpL+Wb+0sFv42rJb6H6F0Lcy5QN+kGp4ppt2Rv5/ncbsglSmjRqzf6yOdXSsI3gpARHi+8EHvA+E0hIqx1xl6djAiW6Huai8e7WwYmCJ9c+78PJ7lrKuZeTEAgMkBFN/yIf+Wof6+gPIbnVn3l+kLMt4X5J6ab0bnDgEGZRnckZ7Vd7hg5RIqrysC3AB5srqudV0Q8DHe57udTne7QzuO75fevnpnyYM2v+041nxEupjd6yTul3181v4A+gQMAEeOTWFNRbwEnLtlkAm/THLoZPxq6u2EIDhvCHjQis5joKRPGO0yKHIoJHRynJCCLx+7SW8tjkur1c9MIWsz7JOQsZFAzs3J0ZYfQ8h4CuHch7nA9bX9+8xQSpxn+bJLHi2NVXsS/3+Xf/EPlo/l9OOseC5tq2l9AEXAj3n8CEm69djpT5f3eft6X2s/r/1g7VsNvb7up/Ur5dx3AL0ypJeVeG89LN+P6gJ0gHOuF2h7hw+oJUoh4719FxA5YaglYQUQ6CpoFBgigyMVHh2qP736nPNlhUdKyezPmBLe1o7WR9wYSBfnJeikwvHmgv0263rPN0F3+9Yy1xV0Y3PpL6/57DwGT7f+y+RxVMoLwnFczTHC2ShUPJ+QWeuoodiK2SS3kFZUlrXt/oC9PPK+x1OQZYZ+Ttw2uKw+nMuBIJ1AwHrg1iYRvfvQ73A+KnWik6nS9dWUnYfREgDKPp7tgREmdYKVSkI3vct0cIYuQQlK3pdgEZmnu+UpxF6FpVpCqNlfC+4X60VLgSc83Kv9XtROFXO9+ezylp51W3rPEVRUHlL5SwhgNGGEMM5qDgo48Ct2z84T1jQ6dWCLmoU5CaT8iIhUDo3EBJK9S16XzmM0rQy2cQo1IPLB5x3OC+Czcd7i7dE6RxVabGVlWdQdwLAaI0Lck2D5/MCOm2dJSSdCb5JzzjgUSrE+b7YSrUUfAHHMVqB0WityLQiU4qqFth1u9SCPIT+MV2AblWR1bP5Sg36OPDNGN8+BBSyidhpzwsZv86e0aYLr4vBeKh8oFNZXPCoTPqSj89XAXmcqwpAURQ08jxOZenTQ371c9cqToEtWJG2sG3ra4nX2nXl6Uaaj31rQVuc2d/qYxlt8MHLhl1qsMixVtgmGuMB+ZrW0petFaMuBLn+EMA5h/Ne1rnEc9TyxnlHIF5zbagspH6GUSEuNt+WSfkXzplC+OwDRhuNC5I9FjIDOkOOY2VFvXPSsF6B91Q4XOwDSityFM555q3FKINURgg0lUz+l7FznOxaAiGuiFZoZTBa4ao2uTYsbTZFcPpAlmmaKut3DBjs+NaIAdX6Uc6VFc1Gkzx4CX9kWqzW2JHnS/EWpksvWaOlo3SWJUVGpg3jRUbpSsacRjVzilgz6ES3i1GKJbmkLoY4KGoZVP8+paDX69LzBucdo0UBKOZnS3xwsZpAoGk0oKByhCCbk2UKhnNFcIGhmKVXKySXaXpVyXBeEKJeU8C8loKF7a5lvmoTiDWOYueuzYMqHqehFQFPz1lyU9AyCq00q4cKQreStRa1YgqB4D1aa9qlot2dx+j6+HLcet4sV65/3oDty/11I3Hjg1zecyGQax2FhwxS7wO6kuQOp5RsvQNAoOe9dD8dT2iM3Hi8PoWioTOGsoGhAM/t6fXf9Z6MWmnyUI8PDwbp14OlDgQVhdGCg815RyMKGx8CmYKWGXhFVqnYrwIueOY7PZTSfbss0xWFzpho5uADRRDhVilAKYp4SX3ZeUYyQNNklM6igii0yksZeBsUPnjmq0AVAj1rMTrDKNmpcrQwMcohkrRd9rDeM9FoiJEV5Ea1UmJUGtXfEkMB05WnU/WYswGFpvIOCEw0MppZwVhUlCr+tKsKo03s50Fq0KIItsKYjKFc08watKuKsnRMdW1f39SywIfA8maBVpAZWcminAej43Hp70QbjMb5gInyIDYnIIaTD/JiFvvJVM+iEG8fiB5/j66rUGg2jA5TmIw8XsdcVeGDYyyX/t8nyhUXpL8stgJY7OO9CDQDMcKgVdGnDYxvhLUWH2Jmi9FIpVYrcydAv1qx1ijE0nQxy0tHa8HZCoUiU5mkPntPqDxZZug5x+H2CfaeOMojTz3JwcOHARgaanH+xCSbLryQy1auY6zRYrgoUEq8GOEb30Qze57y+dF6AonNPzN9lAf2P83BA4d4Yv4kpXVsKlosGVvCjRu3sHX9BaiiEOvZiRWca8MLqQTQsyWf/crdPHH8EPPtDkOxfM0J5QnB08k13nvGSo/ShizPGBsZ4YIVK1m2fDlv2HipDJxY6E45T+hVOKMkVTyikJBEbgyZ0nxt6lke27mDB/fsAqKAApySa25HgbwUCfl0vafIDavzFhdu2cJ7X3ZdP4wKRGUSdzw0mqen97J952M8sfdZOX68jp6SvtaIwtlHqTAxOsrmC87nTau3sHJymYQrYvNV3lN5qeCLltLwIaj+4PyGKGlPqUknzzOL3zn704mn0NGrUQoI0Rri7OcmCkUCznt88DTimAhVrHYbhdfJ7gz7Th3jgV072bvvALO+otFssr4xzMtf/nKuXbORoawAY1A+UDorFvKCHVOfDx8CzTojLYhw10oRYkh439xR9hw/yuPP7ubY1HGwjpHhIS6aWMnk8uVcvmETS4dGaJoCqz25NqI0Sye7WMLAI4hKBqXo2h73PPEgn3jkflGcWjE2NMwNy8/j9a+4ifFirH+NSokH0V/ZHsARi0Hmokjrys0dW/HMgWf50oHdHDt5kpmZObTWjI+OsHHj+dyybitrxiQzdb7dYTgvUHj6+8fXhh0DrwQQI6UWeD5gCeigUKWVYpIhMNWd4dFj+3jyqaeYOnEC5z2umbNs6QRvXLWJ9es3sGp0DK00TZOhVC4l8g2n9xUf8HiMOnsE45vlu0ChMJC5C+5ZxnkUEN8A6wPGZCwpNKMlYAPkcQ7FOvlRWnx4rZlAM5ZnKBW3YrXysIeyDKM0qluiXKDTLHAEPrP7cT57+Cn++JF74dBBGEKsTh/gOPBUB54YhZHV3Hzh5fz6RdexZng5G5uFxFvjdZ65oVdtTfW90jgQTvR6NLOC3Senefj4Xn7ysS/gDx6C6UOx3EwmjVNFAXNPk8bGjfzMJVfxg+e9jGtXrMX6SjyTEAUZoOvwV23FxXb95LM7+Okv3wqdg3I8Y2IdtEwUsY1hNVcPtlg2JG9As4Vetp5f3PIKfu6iGylMzlLtKRr5aferfAAFmfUct4G9s4e4adsnCNsfkLktGDz7WgfVfb0dBpLXWZixjLSv5B0XX8VIXmCj698LnswYTvUsJ2anefUDn8E++BXIw+nHrSMW9flMQya6XQmPNqCYZPnmrfyfW6/h5tWXsnlsCB8cTQbPDKXoqIBB04gWp+g/mdvDMhD6uRJ7SXsIHptp2k7mY6x3/ZDm1937XdWXquMjOPODUakVAW9kO1qPodCq75U6Dy0ALVVusZ52rimU4ZN7n+XWgw/zJ7u2wf598myVBtyg/zx1G4xMUJy/lb+95FVctnQDG0aHWFiofBDMknPWHku/H4RAKB0zeDKl+ZOdD/Cbh3ey//GvxkXMgwKXEoLT0ChorNrEu7dezs9vvZ7J5gRLgkXLbnxSVl6D06rfXULcCfFrUwf4jS9+hm3dA3IxvgJt+PTetUxs2MCG0UvwlUPHrcdrDwIALZELBRISzg0f3/0ktx15ko888yA8+wzMzInRunxCrr/ysGMERlcxuXkz/2P95Vyz8hIuGzI4H8A6jFZUUWm1rcMoxUg+8B51bLvSWrzRKKU57ALPnNzHH+zazke33wfHnxUlXmjJGDRy7F8NBlav5acuv5kfWHMxb9uwlZ6txFsKmhAUWTSgUZD3W2xx+c4rFAUEXWuQ+Jp6QcoEwBMotMZbT1mVkkljtGSPdbv0LbqyhDzH+0DlLUZJeZcQHJSWrBH/Li16uMFc1eHL2+/nfXf8Pb3ZU1D05JijjdhBQxS+ufzev58v7d7D7zzyFO9+2zu44PxL8fNd1EjrG15/zzlaWdb3LJpZwbHOLJ968j4+ffvteI7LAs0hDUuXgclkkLctBAc+p/fE4/zefQ+z/YYb+c1Xvo1LztsEIeCdQy/wEp6PtrMwcwomRmWjsqon5yiUtFnRlPOVYWABhpx6v2z/te38xkMP4S/fxY++/s2sXrVBzh2iBeQlmUBlsuandI5dRw/IJmq2grFhuZD6Ude/s9gXgmJQjgdoTzM3ewqi1+CDxywQBqW3PH3iIPahr8r1D8fj1x9Z4AzHL8DYEmjFfXWePcaxQ4f4Lzv28IoLL+SP3v5eRtum16oAACAASURBVPKmzKu52AZK8VzBfjYUoE/72gvp34P5Po+ux4dWMmbCmTfzXJTS+OD7BgulQzUzFIEHHn+YH7nt/4Xpaci7Uvk4H47HDZKS7Ly047GjlPv383sP7uLd73wnP3HRteRn8U4WEkqHyg1lt8sXHtnOLzzwGdj1NKyJFQCypljxKoaznIIso7djB3++bRvdyx7jPW9/B+vOu1jkg/MoIxEHKYoR4vNB3iew88B+WJFJ6Fs1od3mxPGpGP6CEAZpwQtlDyzojoXha/d+lQ8+fQdTTz4JWVeyUVeuFGPVeBgdA4y02+7dHN+9i9/Y+CyvueIAv3ndWyjyHLVgxXedybdwnYqK49T5gNaaTEtk5LO77uOOL93DXz69XcbAmnFZr+crGBtDSkxl0Cnh0AH+9Mm/5bZNmyhe/jpuuf7GfgREvGw3SBT4FvGdVyinceYAO/uA68ud4Fm7dDksWQbTJ+iXoIgr9LHA2BImh0fRKvQVlsoNLpN4bXCeuaEG3arkh7Z9mnu++EkYzaGpoGqJoup5mZfxMcskxA11VragMnz88Nf4+K2H+fC1b+OHt9zIpb4JIFt+wiBEExnSMmjnnWW4KHjo6EH+4sE7+f0dd0J7SoRdkct9VJVUm0VLBYBmC06dgvMn8admuOupL3PN/Al+7fo38qGX30wv+H6svrYYz9xwaSQzaJXhGxIyo2ehoaEyoAqxvJQGlHTeDGnX0krq6kVr4NhRfmvnXfxWcYqPXfUWLp7YyMUTrSh3lQwmpXBFRjVfcuTkcSjbsGZVVPrQN3DrC637vYnCW3tZGT4xDs0GJk7OFzEE1TAGmfgNdKZOSDutWgPlfDxuPF4d+ypiOzSAqgszXaklt3ECKsfh8jif2n2c/2vbCl65fitvWreVgGJYS5rA0BnPsRZIuVLxXtTgnhRRCQw+l2kwQXPG43gu8fM+BJRH+o/SoAZZTvKB+Hi0hNTqUzWNltT9qNhnC01lK37z0Xv49bs/C50TUHgxHEwmfbksoxeai2DvVbBqArTm8/v38/lb/4yvTh3kX13yGq5dMfm8l933WFwglBVHArS7c/zaY3fzJ7d9CspDsHGNlKDRGhHIWiIJzoGJ0YX1IxCG+Jtjj/I3/3iID7/qh/iBDVdzxfgoKJn/IQSCUjijUJmEB+cqz/R4SxRlnotyNA16TtO2lq5zOBVoEiAoPBKmzlUMQ4VAr1fyoYfu5HefuBeefQxGh6E1Lp5y1Y3XraEbt3EeGoINy6DX4/ETe3j8jj0sMYYb1mzmdWs3EwgMadFgRWZkTATpHrV8UIDJDPcdPcS9+5/k5z//URlnaxqSzaeiBuzomF5XgapguAFLVxKOzbJvz9d4m5nlkuoQD974QzSaDXyAnrU0lAIt885aDUJui8U3Nl+/I3xzl1SvCG7lBZdduJV8y8XQHIIwCMvQbML4JGbTZi5ctY6hvCmphD5QWt8PN9Q7qN1x/5e5585bpRMqpEPGWCrORpezOag9ZjJxP/NCLJdDB/in229n29Env85VL8BLhstwUdAuKz6x4z7+4vO3yf4ZK1dBlokACUF+503xlLyTVdjDw9KhiwYsXwE7nuA/3vvP7Hj6SZrm7PZCFUNiBBUTGLQIvk5XPKM6Nu2ddOyyJ5/PGzKApo6J59RowgP384f33Mae2X0YZaRmWj27CyilaJhCJhptKZujhXDGDwNBTLwO50TxtOdF2FUVLnjJjNOyM6GJwqWVNdAmk4PMzcjzi4rtNOldv260PEdjojDzIu3zAozmjz72V9y9bycne22xLAl9RXl2bQDUsa84X0FMcoAX+PX+h8Lg7/onLGyo56f/fAF6knjy1KG9/Pq9n4e9e+W5NYekn3mP1BvLB68pLc95RrbYZmISZk7xF5//PH//7ANf/8QLUEVO5S1femI7f/L5W+HkSThvnYwlY+I4U/QrLNdhN20G/1+yBKaO8okv3MFDU7tAq/5aELwYiJnWaKWxzlH5mEJscjlPpyufzXMaJkcrLbtdEpsTUUR1a/d6JVPHj/O7d90Ku3dJGxQNuT5tpM/UVTlGx2QclqWET5WSMWo0//OvPsb9R5+h53qnN4qWPlGHDeunVM+jPHriAH/40Y9KnbAsFxkWgoyDqpRzGBPlW0sWhJ84If9fsx6mT/L4fbexd/ceet0eRuk4pynHX3xVIpxd4nxb8DLQ6vReL8JHv4B7rodUoRVFUTD/pp+m++oe89023aoCD42iYKQ1RKvZ7Md0gzaEIKFIfOBUVTFSFPzRjvv5pbv+DpY0o6UUQAXQVqzaOQe9NgyPwXwHxnIwNu5v4WCuB2NLud8e4f13/TWvXbOJydYYo5nGOY+vkwGidamMBhV49MQct+69n9948FOwVoEfhU4F2kmBwRM9Kds/VojQLyvZhEwF8WDme5Iqfd4odI/wgS/9E7+95P1cs2KCynvyOvQVO7AN0sYOhVde7lNr8TzyhhQhzDLoOup5GJSGZoBQicBtNKE5Ip3c92DFUr5w8DHufNhwau1m+pPAUSgaBSO5ZrjrQTdlHqilYziyIVsRdAvxMFeMiwJByQB2Xtr5VMmWS6/gaHuekaIplrtSWO9RSlM6RxkctDKZnzF1v0LuY9rKeSZHxQjQWpRKRlTUUQHMzkKzSffiZfzel/8Jm2e8f8stXDU2DN4SWpI91w9bxX7lAyKUA3LflY2erQOTY4JnJMsl+0cpXlAnVwqCI3dePCwXvSmrIVNyLodkUqmBMwSIRQoy59CCR0/M8qOf/P+gOg4rm2IQOSvWd7DQiXNk7U4UWHH9zFDco6icgRUr6HTb/Le7PsE7V21i68r1jChFlpk4NxDnlkIQZQF8au8T/Ow//xVMaGiNyLxDXkAjE2E4Z6FyMv+pjQjNRgN0Jt6mzmHlSr429TTv+/LHuXLZWpYUS9gw0gCtZS4tikmtjYS1ciP3prTIUSX92wWPRp6dUYAPWOvI89jPtOKLU1O8+eO/B+VRWDYkY8xZUSrOw4no+c7NinFJG8ZGoTDRy5uF4RHmljt+9Y6/Ycv4Sq5feREXDOdAYM45GllO5iT1vlKannMc6zr2zBzgpz73p7AaKMZEUeQjMh6rIFVFjJc51ZFR2cFzxVK5nlDJMx1qwfwsWz71//AHP/C/8f6tV9FPVw/fuq2hv0sUyosnhL68AiA3Bt0aIm8U0eANGKVP33EN+u/VtPKMrrX8932PwslpGF4SrSRkYJ2aEatk/UaKFWuYzIc4Xs1TntgPR47AieOwfKXMCUyfFKEyfYovbLuHd77qTaBMP9bvQpD1AUr1qzAfaR/jnu3bRYllBlQGVQdGhiUZIIyQXXU1ZmIpKEPZO0V4+mmYOSHCuNGUcxYG5ub46iMPc8eVj3DNilehUc9pJ5AxJnn0fmDtmjgglk6y+rJrWZ9lDCmNRtELgcerLjPlPHbvLtj1FKxdHifxWyI8u138/r3ct/MRrrvo5ZyVgAhcJ+e8bsu1VCFw0nsOuorzYsXWtvcMac1NzWGuHFvJRHMU80KFMcTjL+XKq6+kpTJOec8BV7LCFDxTzlOeOgp7n4VjR2DFKvk5MSXWelny4M4dvH71Zq5eupXg5JCVDxRnu4ZGQ9rWeXAWF9dO9Oc0zoKtHFluyE1OVq+AV0i7WSvC/hux4BRKKT69736OTh2HkegdeCUWdmdWrOulq8gu3EqrGMYGT+foM9IuPSdWesOIArAVKMWdd93J6ne8i/GhEQjggyiUhffmQ+APDu0QRT7aiArciILvRYt7+RqKTZtpmJz5zin88cNw7KgotyXjYui025BncGAfn9v+Fd5zw1uee78vhhDI6zRu56EK/P2+r8HRw3D+SjlvsymG0/RJubfJ1ZgNG3jVklXc252hN3MEntkNp05IpGDJuHy+2YBOl7u238/Fr10NI8tFoGvJv6ujIkaBMYZ2Ncdt2++T72oj0YdVq6UG3MnjEApYuZps/flMNsaY6p3CHd4HJw6LF7ZkifTZqpQSPUdn+P2DT/ATF7xM7vFs/fUl8j2vUBa2TwCUD/HhnHFrdUgldnT5nsROlYLZruOp6YMcfehe2aOlPmLI4NgJznPL+PHXvJGf23wtq5YvRwcwRnPvoT188cv38p8e/RwcOAkrlsFoC7FyZ/jQfXew4ZLLeO3a8wlKyfy2s2RZHgcgGOALh/fwyScelLmYoMQCyYF9J2D9Fv7s4lu46cpr2Tg8Cih0bjh4+AhX3fcPHL3nHhhuS5jCdqHRwi6Z41d2fYVfeNlNsg2pF4s4aKkzlMntyz8hxPBDJgKqLFlVTPLnF9/MDSvXoRQU0cPpucBc1eHenY/yYOMB/uux+2Q+xDTFOhouYPoIH3toGxdsuJQ1wwaD6cfUSxcoVYAm8mMrGQDzAbVhLV+4/odotaIQ9gPBKyuJA41aENcWfpDnpKNHm2lF7qPQVUSXwYhLNr6ST177g4w3htEKXHCMxDTambLk/scf4Q1f/kf8jh1wgRJl7j3kmm27d3L7JZfzwxdcjNIqeiKywLNOPw8gSWQLO6VHFLRWoA25iRu7xevuC96o0AeZWfJ3paQdOtZxQns5Q2akb+gCaqMoOqCVD+Rana6rApwsHTPlPB9+7EuQzQOZPO/CwOw0y6YMP/zKt/Cvbnot54+toGEyjDI8MzvF7V+6k/99zwOwa4/MaTS0TEx3Onxoxz2MXnk5//riq8Xi94ZMK2wIKK2Z7lYcmJvi4fvvlvkq56MnqGG+w8hR+OCPvocPvvyVTLZGaWWaynnuO7qX2+++i//8xN1wchbGG6IAh5fA9En+1xPbufFlN7GsuVSatvZOojc9lOWoClkDpeJYUoHCKwqt+hP5g1iT9KmeUcy5kj98Yhtg4VRbwrOugOPT5GGUd9xyC//+khs4f3IVK5tDEAJPzZ7i7oe+yvvv/TQ8cwJWjYDTMFRA2eEjD23jystezpVLlwMy5xcCYHR/HgVg56mD/M5XvghLvHhYVQBVwTNTsHYtf3Hpa7niqqvYunyNpB37wPHjJ/jlHXfxsbu+yNzsMfFaQMLTLc/DD3+ZE5e9ntXLlw8Mx0AcI4urYPTZPvC9Qr3yuRZEAWkzKakRhZOPn1lA7aVY79mx6ymYmYbxcXnTObEQRkb58Te9iXdvvZF1K1dilJbV1j6wdWId73rNmxm+7jVyjrlZuYZKsjCmDx5g18wxOZyVxZG1p+RDIM8NwQf+bmqvuLJFIZ27nqtYMs6/vfrVvPX6W1g+NIbRmnpl8NpVK/mjy9/MqiuupL/rX68roYSRUXhyJ4eOHu3HaU+LuSv5W9edKgSxBjMDwVPaimWtFVhv4xoGabsAjOQtbtx6Oe/94ffA+g1y3dbKQZstUJodu3dxsneSs2Lj5LItCc7TaBSD94ymLKv+YkmlVH8AWOtOs76/Lraiv7VuWTJaNFFKLOnCZHTLisp5Mp1xzSWX8x+vfQ2sXyeZb3UWTmsY5uf4+NQ+KUUTwHv/wsIGZcw8dA5CiGnAUeEt7Irx3hSDca4UaKUovSNQe5FBrqueOD8bAQiyaPFwe1qs6CyTfqaUHKOqePsNN/Ke627hoqXnUe+B3rFd1o5M8vZb3sDPXvdK+Y61Yk4rJR7LqVNsP3WYuv5YHVr1SB+13vH40zvh6BEJ3Wot19/rQZ7z8z/xE/zo1uuZbI3Srrqyil/BhUvW8L63vovRG24SY8d5CTcFD80mBw8f5MGp3V//vr8Z6ueoxZM/NnVUUoOHWhLqGh6R51c0eN211/KTW1/BZas20jQ5oVcCsKw1xqtefi0fePUbYWgYCPIdFLSGcLMzfGVqb38MLuw7dVdwAXaeOkZ57Bj9HT6HWhLyGx3hzdfcxKtf+Wo2Tq4GZDtigMnlk/zg+kv54RtukrHvnFxD0ZDjTE3x7J490u8CMt7OkIOLxTmjUHSQaQC0AjMotSCrbeU1jJYbXtCYYsAEjnV7fO7ZnbBkSDK7SiedeMaRX/hy/ssVr+Pq5ZO4+S7Gy9yA0YrJqmLr+FL+7uJX8rK1F4PrItWOLQRPtSznwwd2ROtVSl80TdbPNJmvPMd6HXYe3AUrx8CXctHBg3f88sar+cDmq1jebDBaWbzW6Dzry6K3r9/AZ656CyxdIW5yazTWjypBVTx46BmOd0uc1lil6FovNcMAfF3PSUHQkjUSAJ2xrl1RuVOMFg1Gi5zC6Fi6I6CVZ6LZYPP4Un5ly82gx8XXzYDMwVDGXeUptk8dHNQoQuFRdJxnLosCVQEqk7ALClSQNSu19wHkjaJv8Zta8YVAlmfR+6AvmAPxeUehL1ZYRn+TnsoynMtq6JaWtRrNPCMDdLfLqDH8y82v4Ncuul6s/3ZPRrnOYKTgyME9TPXadHyg6x0e8QhsCLGmldTJ6o8qhQjQRhzYgDUaGwJlgPm4ZfDzYZRMEjcCtIKilTUYz5si4Ipc5k6K6HlVAZxC+ah0GSilWuke75bce2A3ZBWM5CLUfYDZClas5xevex03rDqf0dywtFmwpFEwWTQZDo4LlozzM5uv4ye3Xi2eRdfBvIXpNiwf5o+P7WKuKulaT13MNVPiJbVtxQO7n5KdK5tK2jIApzqweiP/6erX87LJpVjvGMpFyXnvGW9krGg1+PjFr+TSsTXgKyQbbxbyBpUq+eTUXgqtyZTC6DjnqpUohtpU9EH6V+wPmYesLqqplCxs1eIB2wCH5ue4e+/TwDwMI8qs04YTR2H9efz21W/gBzZcxBCBsdJCq0EPGDaBTeMT/OLFN/PBTVcMvNRKQoOsGubPDu5g3ns6IdaSi89aKeg5S9eWfPjw01TLmmCVzDF6oNvl3esv5T9svoa1wyO0nMdoxVCeyb36wBvXbea/XfcWLll1CexvQ7srB84CjDT40wNP8NRMR5rC6L7nv9icMwqFujOd2UhnamI1+EyIfzsvXsOBo0fEeut0IDgRRFnGu5aeR2Ooie1VmJjHXda1hxo5oXKsHVnN5rXrJGSkTV/wkWUcmJ9CgezlEk8vXobGeitFE09Oy3c7HbmyLANX8YqrrmS0GAEfUKauHjC4p3ZVseWCC2HVSgkdoWQuI1o4h48c6XthfjDM+m3Qq7Ow6jUFLoAxDGUFPScLowLE6JOimRnZPhno2IrXrr4MvXSphCO0lnOjwVYc6ExzVkwmFlWvB1XVt3QBnHX9VeoueE679YVhpW+EMXJ8W4GrsN4P2sM6qrgQrjks64UynXPhhZsk/pzn8btWYvdTU8zNt+MK5xd4/lppOC9eZxicXytJ33Qh0F+Ee+ZPZlCZpmd7lM5KO/Vi5tvCDK6zYLTh2b37RKA7K8f2HlCoiXEuWLMOozSldfSqCoLE9/NCQoJjxRgXrFtHv2/GEBEmwx8+CEiJHOulvpqK40opzdFjx8RiLkv6nnDwXLX2QgpjogctZWkypdBaFh3n2rBmZBVb1q2TOYFuZzC+uh221ynhL4Ha6/YMIgcHDu6XZx+CtHM8p55cwYbV50n5nsqihqR4bWE0RZbhnKdpmmy58AJJ59dKBk5Ziudw9Bh1B5b+XKd3h34UYX7qiMyJdmOEwjlwjvPPW8fS5jihF721/pGgU5aUrmJJo8VFa88Tq8pZOYatYGiIvYcOUC+V8CHIdbkX3n9eKN/zcyg1Vp5M1CmDwR6Q12vLqa4oa1Q03qKVPpQpls2WMBYfBkY+dGqGNY0hQuUk4auZY32gY0scOa3c0Ol2WT2U89rmJJ+YLyHMw1hDrMDjDlX6/iBT0d0cNTJBNl16SmvFkuhXkfXRsjZsXbKcoSxIWZHc0HOBnpN0WekgBus92fAoNm+C64jwI4P5Lr12h0xrelGwDWWDRx6MlrmRoKKLp8XDCJ7pkOGjZa9AVonXPVhBpjQm01wwOsGbqwafDvH71veV6fGyJ0UrFX1vYrzIWNZDLC8fH0RRiFdlNCYfXJ/OTN/iCWGBreCDmEK1tgM61qGUZrbynGio6C3FN+sQT5FjlIkeqxxstleSVRWtLAetWNFq8Ipl6+Reum1RknUqsfZ0g6N0nkyLB1H0L0rO1dA6dsZIbpBq2lpCPsMtds3P8rVjB8lNzvFum4XUtcbqVdPjjQbWW56eOcmDIwaqMbF6rekrHHHFgziZzoExGGSeJ4/HaxlD1umBMuBgUAyygxoZQStF5S1DWUbwGuuDFDB0Hu89y5oZ1y1bBzNtyfQbboJyUCqwoa9gfZRVChHSbRvYp0qggqFM9ifyCsi5ZWSCdlUBMKqkalkoLbkCm2VY71nRLLhxdAV/b2L7oaBXQqfDqdlT/Xara2YtsLUErUCFOIciXX1hMk5d/sR6j8XTcYpnbBfyJmAko3NoGPQwjUJK0zvvcEUGIVC46JVpEdS5gc2r18kYzIz82AqwUGgK68kLQ4l4UcqJbGrURU9tB0w0QnSQ7DdfsHF8konmEEGpuKY1UHlPMzMURYFxHnxgbGgEJsZg1Ihn5Q04mXvsl/zxHquAoBZdASz28b5jKDXI6Qb69uNZVyOHAFpq/wSlxWI2gEU6aJEzkTfFQygk1CTuZoN21aWVNWm1Wpycj9ZSqzmQfLYC69DNJi5ak1mQzqCi9aJQssLfGBkoq1bAqWkRRI0mla1o6FzqVjkvVipglCEo2cSn8i6OYCvWFEHSXnOpK2aUIQT/vG3RqDOHfBDhqT10ZJ1H1ve0iFolft9LraFMKXquJ1WSqx6opihRW8ICT+Ab0uvJfI/REK3bynogYIxMtdZFGpWiL8BD9NjOGgsuS3mmWQbKUNoKZwwmBJQ25EZTOksTqUzbtZXk63e78kxMbAMVJJMOKF1FrosX5qPk0euUmuKwfy//s3E72277HNZanmqcHiSYjbXMor/IunbJaKPJruWjzO/eLam+MJjPOEsbh1rCA1mWyf3kuXgn1oJS5PkweZ1qCyitMEilaeWDFGC1ljzPpQ3q+P7ICMyW0GxigyMLshdLfUVGqWjIKcmUWrVKssmcgyyTdHaTSQKC82BUvzBqXSDRg8xbtedhdFQW3toKlkxw1gy3F0BfTqApXYVHKlLjRUAzNCKeUWUZ0Tkqzp/mxlA5i8lyrHVoLcZPrqQoKkUhhmmzCYUXb6E1hK0seZFjlKS6A6CldI8n0PfY41ykjGtH8LH+4FATnMcpRa6lwGTAU4eJm9qIdzQ6FPuItN3IaANXe/8hPDdpaZH41hz1O4BZKPDO9rkF1DuxVSHjmYaH+VIms+qHhKHjLKqZR/dUvBytYCwKGAAbDJ16y+HmiNSgUhm0Crwt6ZdZ0GIkgvTXwhQYbUQItxoycLQIV4InZ8F6HKMZrf9QClDkWgEGrTNRSHkDCDDUgNkex7VntrKsH2n0r5UQ+ns2zFSlWEJayTmtgWBoVE6iGhBTHOV7wQdQkikjwlzRcaUI7OCga0Vg6Q5d72XQaNNfsFVVnrJW2E7uSRIQFMRc/AC0Yhqn7LWh+lWaARE88b8lUgOpYaT2kVGKwgc5tpNjStjBxoEkRTOzGLpsakNTG4JzoBSZzujio2KsYtsYmRcrO0xXHdbq5TSAYB3WqL6Ve5pycwHQ4EvxbhzSnyaWwPEjbNMBCjUYgf703zbe4J4xDaENp47DpBHvJAC+g0ibjIVKJTcyp6AVGAKl0QQd0M6hXBAFqw3gJAV4RhOCo+skBFMTAihUv9ZVFRMzODUrSQpFJotvm01oz9OxDq0KWpnqh5FED3saDsiHZM4lKFEEoUMZPAVI38sWiiK5ksJo5qsuJ3MPJmaGFU6MLRtw2g2GfPyPV4MMN8WClrHyQn1dsRv377hlFC2VM9FQLPVGPlyPiUYDsDgk2zFoqc5QaAmL1RWBs8ygrKdlYlgxL+hXgjAFzM3RKwy5kvUvDRP7Zgi4oOIV6/+fvTePtuS46zw/EZGZd3lr7SXVolJptfZ98YKxbCOvMhgMQ9Njg1kamulm+vSZBg7T9DDT0z3AdAM9PpwzBqaBGTg9jXtMs2O8Gyx5kyW8yNqttUpVqnr11ntvZkb85o9fRN73btXTK6lKqpJ0v+dcPdXNm5mRkRG/faExP9c+vl7LpGi9QQGMs5pZPyQM0NZzalHGologajFwBf2yxlkNAMqyrHn+041XDEMZ48VBkwxVe7B2bXlyoyXI87yAvigjyeOuLTLKVf6QsxVNhdeojdV1pT6tzKEP4lWSzwuwQlNB2Ri05tUGuzLLGFKyJJHaeL6Ai98lW+wqnqTn2+EtgjCs1RG/r16aOXbW4rJMEyqXlyDrKqE9eBRmZ5X5xPVQBi0AeVJ5QhugDh5nXIxgHMBMR02Ri4sEX210+hgvMV72DCXtv+e7dEf37aseUTjC6eeQQOmDdtsLntYqLUMA6qDmNJupvb+KRDe3Kp1507TsMNDY1XNrKHy8jzVQxft6/VhjVPUXFaFS3+30vlIsRPq+EOLY9YvG0CbxY40S73i/xgm8WjxrjP7aCW+lLvW493ojKVVlCJZJo31gMCopJrt0Mis1sAaMDE1uqdw9EhlL0HmK/WCOYyhpeIOo/aXx1EGP1fF62Slu4QqcdUxETSRpWaPmUSOBaZfB7G44fBhWFsHlFFWHWzvb6VrLZK4aoo0fAC9CZdExr76kgJa/P/HOTd9uabe4cmYbLT9L9egxwnQHRJgMM/zopvNPeO4YZw6nuBrHeKUjiMdZ12T0AojE3g3WkFlHvyzTgYYgUZa07MtgeSVmIlBXFa1MTZtNUVFQhlBWgMHYmKI5ykDWQ9JEMCOaiVGtqFEwTkxYcW7t/6c5Te/D++PPeRHQzgou2LufX7n9vRwcLHGwVFPOpd0p9k9tZrLd0gi6yEy8yIburZNBZh23XnU9vzTpeKa/xKL3tKxld7vL63dcuNHpY7zEeBns+OfG6DYclWQTmk6mrP17Gtb8yxpd53A+uosCSvACtES1hSISsDRf6uMNVAKZPbopkQAAIABJREFUWL546HE+bhaBHLwFqz4TBp7zOlPkYsCqAC7EXI1VNJIMGg+0EY3qMiYSbFHTzqr7p/eYEKw6fo9rdxDQmxbx5KgxrA7ciHdQaToEjLUcWKn4wuEntXCliwwyL7QQZ6tNiWHgBRFP4XJNWIdmgFXDLOJ3WQEhaK5I0ryCR4tuWYadHTkxWi01N3p1oGOJ10D/faqR/wX44Bl4TdRMJs50GwaaR1HEpNOfvvxmIPFTzbtp2ZysDhAE04raFNBY+tQhg9bEIzJVdfwvR5NdN1/7nhM64pmZmuZfXP0dgPpyLIYsBHD2Vb9/zza87BnKGC8uqlBHE4ZSPEEIMiQ8Hz90P8zPaTkOY0jBBKbbYXOr81yXPitgraH2nsxanMuZO3qYux59QAtUbtkO4sFYqDycs6XpLyEM6eZzwhjVLBLlC9Hhb6PEM2qykpGLxrDaph+MiUwp9WZ5kZEYhFQe8drBVPmD5m0M/ECNjJVXR/0qU9dJVRLYAEWrQHygMmhZfhE80RGetMsxzhq84hjKepLseN2dGP0Q8EkSV3ESBAZGmYcXqIOQxz4M/VqjRZ5cnOfplTn+48Nfgna06zuaarVv23Ehl85s1ZuIMiGAMgQGVtRnMkoQxFCGgAjaL4Kha6FpMTBCRG28hh4Wupml682QgAuA0QsFQ6/WsOuJPG9u7axlxQtz/SV+6+G7+cMn74OioxpEXYOvQCztvfs5pztNN8/IJYBNoZ8mVmCAjjUaqlmKakWSfChBo9mC0XDOyirzPbyog0iDWSXdA+qD6XTUGV7XOsetAq3jBXCKjukajLG0R+8rWjolaYpq8jTaRsZAyiFqOY10FB/WmEXTz5wxqqUKDEv3pw/kI2GXyZKY3nsQTx0CLacRToVz9AYVIWa7j/f12YVXHEMZ4/Qis07j8qMZyhhD5Wu+9vTD/NVffwyO3g+bNmlYrosRTRj279vH7slzNrr8GcegLGkVBf16wBfu+TK/+42/1eq62zZpZJE10bHu+O6prbQyDTs+OfWE6NiPxD/LoDsFu3bT6mzGWMNupxrPIEaARW+Ums6AngR2upynyhXKJx+HIwc0a5xa7boTibG8SIjJjYA+c/PcotTfmiEXWMXsU7HMU4UXoZNpjpC2KDDK5yVonsuYpZxVeOUwlCZTVje7CaFxrIqIHgsBTCwZn79yHv1UMPAeCBqllQiGszxj+9x2958y6XJEhGAthbHMl33qhaNw7CAM5jVU2DlwA8gF5pbg3N382K23sallEKc538l3kRlDHlABNaAZzJnR+mlLh9j0sf8LYx0intzmlL4CtH+7dZZ3hYI7LryS79t/Nb16wMyqXCADOAx5Q+DQRLiigHYBx46w+eP/Ec0JCsw6JcYrKyssHHxMCxhOWNg5pflIeeyJU1fc1NrK/3j5bbS8YJyupxC0qdPw7sJCHTR0ujD6VSsDE/RZWzkcXORDt30nH7zkegA6xzmFZHg50E6EQXhoYYWf/cPf4E98UAblPHQKhk79F4jCEEJNzM0mNhTEJG5gaPxYwHB8q6OzrMG08+MOGyCzRiPxAnpRQ7wBeIRRdpj4Vbp8viqwI811Ox8mNJ4OpnVGIQJWawwmrQzr1jLylxFe9lTVV7XmBsQkodoHsswqM4nOQBOlawSwRn+fXtbqzfIqRG4t2AyyWLeqqlSSXlqh/spdHFsJQ/uFMZAHncfpQrvU2UozwTuFZkNPTjF92VWcO3Pi1rDHIXN6v6qC+aOU93wpVi+uKNsd6C1Bq0XV8xCEjyxUPHHLM7zp3P1saU9tdHWamkwhwNIi5d1fiT04PAeDV0LX7WrBxHZbnfgpcioE1QZ6PX74h36CzGaayR2EsqopxkLJGGOswct+R3jnCBhywBvoicfUgYk8R9CsXWsMPV9hjaUNGGcpQyxGt9ENXuGYryqgBHHqeLKihNVl2mBqKvahyDJl0qlYohetyJwZ6E7D03OwtMR/d/mb+OC1t7O901UGH7SZWJOvkZDyUOYH0InJL7arDCrP1UfQasFErkx/Qn0Rob3MnfUxullBkGENqV7t1RdSB5YcurJzo5oXQLAq2WceulGrqTUUWKXEqOGWorZ+a8CXIDkX3vYW3rf/amZaXfWFOIutNTQuaWDJ3NNxVuemiqJ+Fp/TBFYHZHXSdCQz0ahovupwLZqlPkBUo8vTb4UmI/qFQoRGHWLk9quONZpH/EHKp0zBaetpCiKCNyc+KtDccOgz0b/5qrlag9H5GuOswstePA+ilWjrIAQJtLMi2v1TZV1NdXPWkVnHoK61CBuahftqR5FyI9Jc+KAhs97D7CZlLjaaC0GJcisymeB1gx88CHWNvfVWfugd72bnxDbqsjqOOJ4Qea6EPUUzidBUa15a0nEMymivdzqeUJNZy0rdf+5rgzJC5zTsNvUrB71nHc1hLgOCPmPwpEg1ADbN8nO7r2Km1UUj3CRe1jV9WsYYYwzFy15Ab6fEr1odx0uR8JVSaskGoAoDMltQE5jAQOVxRQbWrStZvVrQdk6zrlM2dhaZQF0PQ1qtUaKcagyJqOQfAhyrYPMWfvGKW3jPd7yZ62LzHxFBfIgFHocCZRChtqjgaxlqPQGV4lPoqclVTA2iBN/lSujLAXgtk952LVJRPK3lZbQKMIZhMJHX84tcmYQxej+bab2zwUosdhi7RBqvx9tRo1mY46e//SXet/9ilquKHd1JBDWjmsw0ZUZSiGwVAo0DwaYxCKRIJ69tg5umYdHkmiT+UcncGsit0z46qa8H6bqcOupoEuYEQr8xjPLM0VsmmSF9ny6R/t33wlyTZ2SGGkZCND2n9thN0NdYE3lZ4mXPUABCEPX3ZZbF/hLz5Qo2CNOdCQxwbHmR4ByTeYvJqRmNqZeRRLhXKaoYqECWKcHO8+hDGSgxn59XZhL7YlBX+n27DZNTtC6/jH++6zLef9F1uKRZiGCspfZhTaL3CWETd/Ha03x2AhYXIiUtaLr7ea/RVnUGmzbRq2vy4iQinNIrzjMtvGky7cbYKrQcurPDa4toYdA8Mp9+H6qawec+yd9tfg1vvO5mBKh9IK/qGIwwXkNjjJHw8mcoQUts94zh6NI813z+oxx55EEYLKqJw1j9TG/h3PP287U3/ADtrKALw8iwVzG2tdrk4jSRu4ymHt+HRcvua67lH+yZxIdAp/RoT3fH7MwMe87dxY4d27lhx3kAZM7iYrVgVQIrnLFkI3NcOEu3XqVBGANSQ99CMc0H9t3MYm+FvQNDlmUM2hnloKLrhXarxbbuJJdd9hrOmZiKzEuvm/rdAFgR1XhEoHCRYRgoJvnAhTcw31tmX5nRKnIWTWCxt8If9Z+lf+AZWFnQEu1T0Y+0xcHA8FOf/3P+YO8FvHbnDpwzBKutARqWtmosOgiGGspqOKP+u3wjTjuEQ/vEd9KciYDn9GgoAiZWwl7jThnhk6PWy0aTihpGk4MShbSk2ZQhcGR15YBVYzaYptp3+n3Dn+N1RvOQRq8/lgnPLrz8GQpgnAEvPPr0kxz57Ke0GuqeHbFvdQFVD54+xNOHD3H4hreze3ILjeP1VQ4vgVCW0Ec3vIvVZLft49eu+S5u2n6e+qacjQ5w9VVZgxaGNCZGgVqCDEM7g6h/a5QwHQdfadSVm8Lt288/ee27mcgnmC60h0sdnc7GKOFaqZaZKdThXw0G5K1VZfnXQ/BQA3v38k/f8B4m8wkmMs2xWapqMuP4/qNP8adPf4MP3/1JePopDfstWlFTcjz56Lf52FNf5+Zt27TxFOCDkI3X0BhjNDh9DGUdm6f2FA840Tr8LWfJ6lpt8LZWUwSWaEvQDVxY7KBCrMUUOsRRiaSxOceDdQgs9HtgS9g6gTabsjouY2HrNFQrHDo2x9bOLM4aLIZCRbRkqVHJrwkID5AFBhKGUS4IVgRvhrZvQSispR3i+cFEJ7LEgZvYUVBLlgSBTmbW8jMTP1W8f67X8mhoQS8WJxvNW3AAAhLCWqk4fgLDuQOGNmsDGMNSXeNbGbSjj8IL5G12LVXs6HSbPirpEhuRz5hfHfuZOLzImjJVdRBKu3pAVvtrLPfwvs9127boFYK+EG9Hbes6nkqMahIjEUQCeEv0YxidT9cGGYA1XLl5C4KQG9VqNrUcubXsmtjHW3bt5Y6d+/nN3/4wf9E/Au0J6FdQC35rl//5vs/zC9e+SYfmvZb/EF0/katqNJswXKg1GpVlarQL5/HjheeIaoro+xi9lpCeUQAMOAhO15ox6Z1r3w0PVCFW/V0NARyI+MZ1Nlzo+kVde61aEAQMBAx9X9NFnznVUjNBkNojmValdnFoM0XGJQO4P6Dvyscb19C1qS/l8P02GkmcJ2s1D8cDzhhtgVt5bLcAe3qSJwE8BqzBB60SoeuG+C4FamGL1Y6pQqAbKzmISWKWwqDNsnQ/63OmI5CC/kxTO+0kjLYvK7zo9p5UcM6tMqYbsbrhrNEN1tjxnRJ/DDiHyU7CLJBs9iZ2bLRWCUFyjqZrm+E9nVUnahjZ3GO8+hBE8EEIQDtznDe9leuuvkZ9Rv0+w6izAMvLLA8GSodfJabSInMEEcrBAPGqnWoLZQtuGIwglQcfhv1lThOSr7OpC1bWQ8tCGO/fsw2nT0MxJ15I1kDTrRCtFlE5oYnwcYm/G1QkqECEFQI5tuHgaemkKyWJbqUOGGCx8sxTQybQyWFhAFmuDTOSJNfE7MeOgwF6XgDtz3ws2XkhifBQGzrWYpMmg0pl2k7TNjyx771KkBaVTJzeBwdihHamPbOb/SYCPmjZJ6J2YeJ9xTQiW8tDZrUzo4iaqEy8L8BKY8O2Kv011wcC5ELs6hiRqgl4Hf8ZR3qxUePUarLRdCar5ishrrN89XOeAlrOUQXVOsFwzsRmbrrmOnj8TtWiXYgRcAGWlphbmGei1calF3+2wIP1hiI+h67qtKRUqGve9mp/T6LT8bzUlrZlLCJaCcB4QYoc4yyPHlsAIHc5ICyWfbp5l/On2vTqklYQavG0XYZBzYKVQfeli/ezBnKYf64GWXFcVQjk1vHw/CLOOJbrgFRAb5GZ1hR7Jk+PjO/iczurlbZxotQxoGPJDYdXpxlEzdTEv2kp5DZaTZoLxwcRAwb6CFkIx+dlvUJw+hjK80K0y0iA1QaREOJ3auapg2/Kpz8XBPAh4FPSXcqPMIZm5wSBUBNCYHUJ8zHGyKK5SlCNZfvMrB4wArihsFT2KVPvl1cRjDUU1rKwssJH7/0cc3NzmNpTB0/otrhw/wV88NKbMMZq1tdp3F65dTzx7DP8p7s/x6Fnj3C048hcxu6iy5uuvJ49kxdsdIkxXkJsTK1PIwSVOOqhQZxGlBKUCeQGMkMny4ZqLtBkjDSSlR5LWm9hHbkAzqlkmRm0MJEkjgO1YELAEpoT82QDNquy5pNElcaUEIQagxffaF1pXG3nmEgawio+ploNKJNcJZVEE18rCJ0kOxqG2o0BLHinRC4V21sdzQQxMRGY8YbDlRnOZTAQEpEc2qZLLwiewjrOqrBpT6OlrMa6I2ycauv94OSQ5jbNapCaiayF9pT3Wn8L0fVkDMGtWhLGnD1aSm0ovOa3mFgZGla5WVZj9XvXoLymanJaTyrmaXVmYwyHl0ruOfQIP/vFP9V2BWkPrxhmjlzJO/ZcxkTeYraVrTEHCuCtgB95UebkLFZH+hUf//rd/Ms7/z/o92DrrAqN8zX/u1mgt/v0MhT1oQznb1WZayqBwhkkmeyh+etHnyXRgYR4PEOrRjQ+q5OYg5cTXhKbh/jQSH+A+lNSUb00oSKqb1oHtaeuqpOiFdrL2pJZS7/XgyKW1bDRAWpco/WQWZy10S8op0yMxnj5o2kr0jCG+DePGfRmFeWzFmvcetbdVySSCSyzjhACLC3oHpuZ0SrTzjG/oGYwF/e0iJw2OunFc3RuTvfwznNgcrLJmQrVSVRKGOMlxSlrKCNBISf+jTE40XyR3Foms1ih1hgQA7WAxPLnxsOxYzw9P8ferTuOiz8fReqFPTeo+PYzB1WqLCzYEEUv9Po4yDMm8jatVM0TyEQpSm4Nm1Im8mpfhEVLtUSiY636UbR3NoBpeiKZ9J9kajMCgVhkddX4oznOx+8t8Z6exhqoHBgyr/4EE0TttSPO4KTFHbNB/UXNuAWsKiqCNPPYcgYhOy766ozBrP2kiJ5GAFxvfZ0mop4ahREEnKHtMjJjo38vCT3pJQqBgA8g9rQN4dQwQrmNOi11bAIEiRqIUCInlpybTP9VknPc2FMuA2eZzg2z3ui6mmzr3NQepjpgA7m1WDS6KwStsSbxVi6YGN3FcLweOtYNozXjix5aJfRvZjNqkRjGbaFfgy2g7ddq/C8UyQfiNOy95wOLVmmC+j2koSNbnW0sEkFPw4dkPdBnroIGiFGj5yVBRVA/l/CKFkheEg0FWLPws9wxLOVhSCGiGLR399xR5uaOUvom5u45IUC/7nPgmUOa8Qw0ZTYMgNH7tQparWJNkMAYr26M+tMymyHeg4/1xUSGnxBijbhwWqXwsx4+MPAltffqn0wRm6maAKqdBHSeQqyDdjro5krVw2VOhc3gwcf7i0HqV58/62zHKVNWLyewH645HkucRFv1RG55wxXXwOIgVnbtw0QLWg58qf0jcssH7voz7jp0KG5kwYso30E/ddBKtgdXllmpAh9+4Av81sJjMNUFAiz1Y4ih1YW4uAybtrNndhuZNdRBGPhazfbWUIWK+cEA2l0tw553tduR1PSDB2uoqxpnYuDYoMLUHqkDvqxZrCqe9H1wRYwOspEQecRXCFAFHwUVzUWxBhbKksP1CrQmhpPpHPRLwOFjrShEa2MhoiGagPhALYFeXeF9qfb+QT/Wraqh2yIvPSKxXIoPMepOAx6qs6E4Zu50QN22FmpEi3oG0bGVIdD39XDuIgMYhBAjk04NaxITRdS1ZaP0nWW62LI8itqOPPbiOC3S8emCCFihdEIfoYrKuYkSsgRhpe6Tt1toOH1Ugwutl+Z9SWYMQTy1BDwa9RVsrDlmDcZkLJY9bVkw6MX7BvV5ThQU1qjmj5rH8AF8ILOOlnNx/uxQeCxLMmPJJWj3S2MQY1ipKgar1vlCJRwsRBl8v6drxXuQCns6WkzH8RjAilD5FTpitUumEZ2rXh/yDItFjGHZ17qH+hWZAfFefbEEBkFYoIZe7M6Z5XqPlRUQWJEaL7Dia819eYXhlBnKRnDGHKdpbNu0Baam4yJbZXXLC7XPGsvXH3mEX/37v0HqAFZNTF48ZV0TRAgIVfBM5R3ueuhr/N9f/zLMHYtaidGCf1mutagmJqHydHbsQkQofUVAcMY2JSMsjsl2Swlyuw1Ly7phJib54soxCELWLlQCC0LSgIzTvBYDlINYDyrPAKMEyWXkXY0ayqxtFLHIYxECk3kH+gMwbsiIgoelJZaXV1ipK6QOWkjQmGbMPgT6g5JunhPqEsq+PmtkQHjP9PQ0Jv17FTJrlVGdaVQV+Fo3bSonz5DuiKgpwRlLEME3iZlWe7mM8dywmujYdgV17SEr4lpDrQGA7y1ThUDb5YDFGUORadCGyR2hUsd8byUxElHG1O2S2iTbZDYThvZJo/u2sJm+Y2OGNvJ2m4f66ntJpkUfAnUIlL4EAZM72lmLw0fn1JoxOanMJHhwlnCSFowNEQSCapzGGKYmJrTHj4+274lJyBxPLs9T+oCzlmpQkbdzvA+4TKubVz7Qq/ocOPRMrAmX6TVspEntNtYYBnWFiKFfn2L75rMQp7wjk8Q7ComfIKgNFEC05/dFs9s5f99lcHARTAYBTTn3Xolquwt2kb+897P893f9Gf/vQ1/j24s9Dqx45sqSYwPP3MBzuF/xS/d8gnff+SccePwbsDmDzOmdi0wJVC4gA4q+4zf3XcOUdUxYR+lrvJimR3k7y7l48zZYXtGigdTgAL/M5xcOcrA/4Ei/ZqU/wOYO0y6QyrNce8RZvvrs4/ynuSdgcUU1mxB04Zc1b5rYgojgjGbIVnFTBRHaLmNHd1I1m36lb8RKIxX/zqH7+MbcMRaN52B/mZTpXgahJ4Eejk8/9TA89oQyZGtVkgsGjOPizduZLXKVNEUYeKFfC5ZVyWJnEl7QSsIBTEbHWbrWUVSBTIS2aNa9FRpC56NAUaZGWKcIaxhuenTq9D2QuH78KOExaBLtCI8+Q4iDyAxitWJEHdeXAX0ma2hnjj1Ts7BS0VSX9hVMtpCFo9z77FMcHdRk1hBqj/QrGNTMD/rUWcYjC0v83mPf0KKhtqV18laW9b1NTNHNCgo3QgxES9Ns705CqMAZ/YiHbsafH3wAcRYByl4fG4SZVotpV0AISFnzlUMP84dHn9D9UFZApW2P+/D6qe2cMmKCptQe4wM7Ol2umtqqGoW1sLQClYe2UB1+gs8f/DaHeh6fWQY+NNn7c4MVMIbD/Yq/PPIktAxQQxbU91MGzNQMFkOQQMtZildgcuyL/kRBhFbj3BQqX9N2GT9+wdU0Wewuh8yqtFoO9N+TU1B7Pvx7v8tvfuLP+Mv77+T+ucdYLPscWjnKpx69h9/+qz/iVz/31/Tuv1/V91ZbrxGiqct7mNkER57l8osv5vLN+xqiYY3Fy5AgOWO45IILh9JX6vnR7hC+9TX+6sufY7FcpttpE4JoCQhnaWcZcyvLfPiJr3HgkUeh1WHov1EV/+ruJoIMbe4qqKkZT5PHcrL9+4c2e+vU/NPu8Ief+BRfO/IYLVewuTMJgB+UVL6mmxcc7S/wx3/913DkEExMRbOAVYJhHbt27yazMTLJmGg21N7cZw2MhTrovNRq7qDyGgKbRfOTCL7SXjbOaAJensrpj/HcMIYq1LzmkkuiBl1EH6ZqFzz+bT5559/x2MJBAGzmkLKGsqZwOb1qwF8+cTefuusu3RcpkjIIlAO2bd2Ds6bhvathjeG8PXv0nqmataDc7pGH+fRnP8exxSWKThvrLKGMWkfmMNbwG4/fQ3j6oN6z16Pp8GkM79q8h1NFsyedWisKl7Fr9+6ofTm1ViRN5cnH+ZuvfoFne0cprKMOoTE/z7S69OqSjz7+Zf7yC3fpOVlOU7laYN+23RTOkjv146b2Gq8knHKU13rVu9PXWr/KEXzAZo6iErI84917LuVbF13H7y/fp4ygm0MeNMM9Dw1B7V/T5rP9R/jsJ+7XzZAV+qJ8X4sYFh04J5p5yr465Vtt1UzaBSxUkE3zb298C5fOTIMIUgeyItMGW15typtaOW+9+Ap+6c5tcHAO9syo9DzRgYMH+ZG7/4ofzUp+5pLXYoxluugQqpJ7jzzJnx/4Fh//6t9CN5oBej3oq/nq1snd3H7OPu1zHjwYNdfY2lMAOQZrLb9+/nX88898iUG/rxpSBhjHYm+OH7/7z3h2sMJbd1/DOd0OlReOrCxxYPkw33vf3zJ47EswMwmmBgSmpuDxY7B3Lxds2k53FVHOrSFgNDP4bGAq0dZOyyEtx7cWjzLbnsY6aAXorfRouYLFqk8dalpOG6jt6BRaU2rD+vgnB49RhVSEGtEFbFilnegnE3DWEBh2izyjaCiixGRsMwwEFC0pY41hKrfcvP08JrbtY/nxx2DXhBLmvIB6wC88dBe/Nx34/SveyDkT2+jG/XHvgaf42IH7+Pf3fRamBhoqvHhMfV95i+Ko5d+dd5VOVwhaRw1wziJBmClyXnfp5XDfp+HQM7BtVomGBbzntq98hPe7eX7+stfRyboInsLl/N3BB/nTp+/jzrs+Ae0afA559JkcPcZ3Te/mtnP2caoYeE9unebOiDBlLdeeez7d7Rey8sADSlsyCxNteHaFf/utu/j0hOMXL7iO3VPnsq2dU3vPt+eO8qkD3+BXvvpJMEswNQN+APkUzM8zyyT/as9l5DYnsxZ7tuy/04xTZigbwRoavwFEwR2YLCZ4z9vfye//l29pbPvEhNodnajUZOKOttFmmhW6Aeoalhe1h/k556qJKXOqDgdRKT1IlGYyODZP9obv5IbLryaIR7xrSoc7E52FIWAwXDC7k+KKyyk//Rm1M+cFHD4EM7PwzCF+5xP/lf4DD7Njxw72bt7C4cNH+MPDj/LoQw+C7cH0tBLHiUmoAywt8Z1vuIVdkzsx1mg+jtHhWRFM5tTkZg3XbjmfS8/bx73HHlBNJfUr37od7v0q//LrT/IXV97D27fsYnJyki/MHeTz932TQe9ZQFSSWljQkM5eDwYl/+Sa19FpqzQpEv+z2p1yNths0qYq1N/18bvvpGi1aAdwRU5VVeRFjm8VDAYDunmL/efuZmd33zDkd4x1IUHAGTJjKbKMf3jDrfyfjz2mgleeq29jehM8/gwP/M1f8KFvPsH+vedxTnuSIMKvH3qQBx+6H9wSbNmq2ruzKrQsLHL95Vdw2eb9zVoyWKrgNRALqCWwb/M5uP0X4A8cgP6Kakc+qOB0dI7f/9RHWfnyPdxy/fXMTkzw8CPf5teeeZD+E0+AG8CWbbByVIn08gJUJbe98fVMFVPP/fAngcJqrTJ1akIlga2Tk3zXJZfzx9/8JtGRpzSo3YZnD3PnJ/+Mn/vyPVx94UXcsHk7C/OL/NX8Ab74rfsgzOk8SVBT/mAAVc3NF13EFZvPa3J1GkJ4FmzB04lTZyhxIUnc3IlGNX65+J/KQA5kKEXd1s55+97L+KHXvIk/uesuFs0SmBzaGYhTKSZ46E6qw3apD7YCm4EtNNj76JLexA80oisvIGtBNWgWwh3nXMWPXP5GtrQ74AMrEsiNpVglxWEM04XDmozfvOgmfu1bT/CNlceg66Azpdfc14LFBf7gibvh/mWNSkoOpCkDrU2xVW2lEs3cIkzP8tMX38Su2S7SrzCZpe89QYKWQLe6iDGGG7bv4F9f/Ube/dWjyhicREa5DDu2Ufc8n/vmnXwkVpq4AAAgAElEQVTOijLeVEm5CLq5e/3IcAV6y/zA/mv4xxffCkQGZk3UvDVXoC/h7HDKu+i47ArMP8XPPP1R9X1lxHfodJ4GkQAuCufedBMPfvdPUZwuk1dIzaJN9M/KUAIKDDd+QAN/4tdnBRpiqGtJgy3MkMBHAjblHILw/Xtfw7OXXcd/OXQPeKPRSLOb4YqdsNzj/1l6CB58BMqeBqYUXZ3/iUl9V/0V/fvgETCG//DmN3Hd1mk1kQGa/AnLVY0gdDPHZNblQ/tv4kP3H+Ab8w/C7KxOoPcwlYMxfKT/AB/55NdgALQ70C1gNu4rK+oTrXpwuGLTlVfxvqtuZke3feI5eR5QpidkGLzR7Blj4J9ecA3bL3iED1cPKfPrD5QWbW/Dygr3Hn6Mex85yu///bIyyG4G0xUUM9CycGxZzfaHF2H7Xv7Fla/nqi1bTpBX98riKC86RamDROuBVnXV0MFA7jKcNfzMze/kxksuGvo8Upy7sTrXx44p8ZyaUoLpYwJkXoB46LT03HR+fwUwMDkBnQ4/9K47uHbrxUhfI6Uy6+jF+HUf2wZjdSH165qbd7yGGy65FIjXswaOPquaUZ7pYt+0RU1yRUsl66lpHWsyt/VWoNvln73xu9m161yqqlaTU4ysEkQZsIhSe68tbb/zltfDnr1KwOpapcFE2bJ4n4lJvXeno39Tm96qhO6Eam/Ts3zPd91ON28jItQSVFINEn3PWmrkrPCjGJSB2CwyxEr9UJNTkbB09V1PdFVT7Pc4eOgQPgTKsyHs+SxHkllEoPaB3ZPncNvNtwz3y8wszB2F+QUVYICmYve27apFJM17eVktBbGaxQ++671cd/W1GsWZorcgMmUtz57F+l5vPPcqXn/llfqDoqW+mJVl3X8u03fe7WokV1HQRIUZqzRgZkb9q9PT/NgVN7F7Zgt1OPUor6VyENeSRP+cpfSeyzbv5S1vfnP06TrdfysrcPSojmlS/ZkaeVarsDMxMdRoul2NGA2B1kWXcPM119Ovy8Z6moJrXmk4dYZiDBgTmcZQaE9Icf65dfr/xkDmKKxW/L1x62b+6J0f4P1Xv5XWU31Y7kHjrLIQLCyXUPXBBDSVt465HgVIpRqKqWG6DYMADz/ObUuzfORtP8n3XXA1eyYLTCvDFI7CwHSuseGN+glkIkwYw2tmu/zG7d/Pz77pfXQfXYReqTkiEpmLKyGrQaxKWaGGuqdSyUwHDiyAmeJDN76Lf3bZrSBCnjlMV/t4TBcZU7kDo76MPkJPBAQm8pyvv/H9/PwF3wHPljAXGV5moW0g92q7TvWlJKh5zFjwDh55gje09vE7b/0A37P/SnZ0dM4Laymtpcxck7/TchZnIDeGvO+VmFgHUsJkh6KsyKxNEZXN+202RESThxQ3UvpdE4oZCc1yVdOrNZekDAHKoO+vACZytKKBhZkJ7efuQyRctW5oqXUNbJ4lhIr5sq/PIprOZHwgVJ75suZIbmB+GYJTzdWjzHlQ0qsrRKASwYtWiRZrCPG5rEE1t34JJgM8ONCoOctCHlisagprcSIMAgx8nCSJsyNGI3v8QPOqBr2hSiMwFXNZgg/NfKV5HkXfe+bLAV5gWYJqxplVAifoe8sdrPRgUNGyBrzXPkQIpHs4Q+YsW1o579t/Lb9y+48wPVfoPup0QRz0atUETIDSa1Z6O4e6r3+nJ+GpeXhygX936zv5Dze+HWug5TLdX7nDIrSsZaoo6GYZ1kBhLedNZvyb73gPP/zmH8A9ekwJ8+atGt05qHQc4jQfrWWgVejHVzA1CQ8eBruFD932PXzwwusorGEiyxtFMv2P9R4Z1BQ2w2J0fREFlirQz4WVmI9VhcBMUTCROQr0py6OfzJzvOPCa/jX3/UB9vYm4bED4POYp9ZTB1/HggtqZl5e1iTPbkcZ9dwy9AK/+vrv4a7r38lEnjPlMg10E9GF5gMDYOADXjRgiSZy0Wl0WbBwbInlmS4LZa3BQD7g0UoEdWSEaS1vzdtAFvdOpdodnm4ARyCI5vPVIk206enEqTOUU0RZVWzevJkfu+aN/PAdd8D0jDrvUkSHSWQMlWRi9BJAo+5v2qQazNxR8IHsbe/gp77vB7l260Xr3reBD81OFtHkw8mizVvOv4Jf+Ec/pfdcWdYAAOdUsgpeCXmKxmq1tE/5wYOw73x+/s3v5Y5b3nxSlZKDaOKns9pIaGtnEz/41ndy3e3v0WsHr+p2byVqcEG1kV5f7bOzm+DZQzq+G2/iv333d3PjtgvIrT0pDaSTNJzFRdUesxyWlqhrz7D90QtH6m6YO400ExFmZqZVMj56ZEhJJeiH+EmSngSVElttXQ91De22EjF03pIZwVpD5Ssk2bsN0Z9VafRbliGi0WQWDf3NreYG+RAovSZ7BoJqe6DvvCzj/AdCEI0OjEShCjW9ekCoPQi0bRYje0Ql1l5PJfJ2V/1qyz3my4GWJ7EnM79C7hzOWq2rtbykzxNE56Wu4vbQnChfe2ymTmab8o+C7hPjLEE81jhet+MCfvX9P6Zr2CuRUid9RmO3bsW8rKKlWsID34TZTfzo9/w3vPf2d5HZ/LkGrojXqoNnIm/z45e+gX/0vh9Q/+djj9BEm1mn79dZwAzHsLgIc3Nw3j7+h9vezffd+BZmWtOs9PpkMSDDgNKB+Jy2cDhjkapS4TTP9R51BYMBC1EYSYUwnwtv230VH3zbO+Dqa1WgmTuq85TlShf6PR37xISOf+4ozD0LW7fTuun13H7T69g1uXWtRhIF6xB076d96hM9W1qKzKmr7yDPWOkt0/clNpq66+B16yBRqFML0EAivagrPbfThcGAflnS82VcFzoMH1aN6TRhY4r3ImNgHEeWl7hp+zm8dud7+Qf7ruQzn/o0v/jkvfD4HOyZVod7XYMNQx2+ZXXxL9Vw9Fnc0Zqte/by61d/J2947RvYNTmFVImPQ7JZJqZcxQWr/UWUsBoH7dqDgbfs3s9tu/Zz/cx2vvSFL/HL3/oSgwPHqGbb4HKwlRKLOQPVIld0tvHmN7ydn7j2dezbtotu1tRHBlhb74uhFtd2GVXwtFCn/XYRdmzazt+89j08sPMy/vFn/oSnnn2WQ/WcSmuuUqbirZqCHjsG5+zjV6+7gdffcBO37DwPgtCvKjLrKOMDt9YJx9tUdLiiO8tXFw8Bpc7Tcsn+7iRBKjaiecPL6v+kZx4llrk1BDFsbufctGs/N557KV969O/ADtb8rikwlvZ63tbNZTwMVmCl5rxWV39iAB+0W2XSfF1GN29BaxqeOQqz00qUvGVmSrs1+hBwgI2bWUJA0Ag442Mirm3BMwfU1FaWqvlunWYiK2i7LC4kIbNKvEzmEj1T4nFkDjZvUcKTZZpjtLhMu2izudVqOhGmVdLkBCXCE//dxkJmyehx0cQmPnegBNfR6XZRWylLqDz5xCx9hI5AGbS1cZbMWF73zlbrQIRbd+7itTt38cZte/n83/0tP3vPZ1g8dIj+tjyanCPDGgj4Pue2t3Hbm27nJ697HZduP48t7RZSB9XOoOm506z5+D+2DhhrmMIhy32u37qF67a8jbftvIC/vfPz/MqDX1D/mI2SuQm61wcGnGOfmeR9b3krH7z+jZw7uYluzEPKkrAWhDWLNM5bbg37XZuH5hca5k+dc3NnExdOz+BqT8pBgaECmV7DRGy4c/2WTVy/7c1873mX85nPfoafvfdz9O4/SJjONIq0yGGxD/N9sJY3dc7hiksu4X2X3ci1V1yJMxlBAvN1Re4s3RSV4ywmdxQieC8MCJS+Zqo7y2IfqBbUT7y0DBPTTGYt3WtxvIUPBB8oMksIwiCu4c15i1bRYTDfR2v7Gahg2+wmAHU7gPaDOl0+yFU44wyl9HWUMrVn+eU79nHJ9/9Dph6+in//2L088dT9IMswqFWSqokSlQHfAtvGXH0d/9O+a7lp63m84ZzzEYblSTZCy2VrE+SMgdpTxw1//bmXcNm7z+OKW27m3rkD/JuDD1EefkYjDFoF58+cw9smt3PHufs5d2Ib501PESTgRV/8RpFI1sT9IGCcVV9PWTNVdLj+0qv47e17uG/uMf6PJ+/nK8vPUi8vgvfkrQ52YoZ/tfMS9kzMcNu5F5NbS6g8IQTyQsv/hw3U2gtmdvCut7yZrx6+Tx20Duh0ecvOK9jR3fGc554MgoCgZXfqoKXV9+/YxU9e+wbO37mT//zkt9aekNZ4mrblvmppk9OAcEExy9t3X9DMq3GrnNBBcMaxf/NO2jfdQv/pJ6M0CNPTW/jJXRfTyVpoF9G42aJklzmLM5bMwub2NDdcdgN379pFOHIEDEx0p7l0+y62dKdIraqk1nlOU2wM7JvYxI6LL+aZQw+qzb3X14P9Ejodrti/n61ttb+fVJMup+Y/L54d27fC4Vn1k1V1lOyjhj01y3untuOsZsYn7a1B/H9TOAjSlLDZs2kbd7ztnWy55goeWjjELxx4mP7CIfAaBFF0NvG9Uzt53+6L2Td1DudPT1L5klB7rLNDSrwOGsHCGEw7JwShnWdcvfV8LnvHLnY/cRX3Lx3mt+eeYnDsCNQlZnKSW2d3cUN3lvftvZSJfIJzJ2cwaDKus9r8q6xriixbO4dxTrd3N/GDt9/O//KtL0RhtMDNTPOW2fPYO7lD91rltfrEc2DQL2l1Wuyb3s7Ot9/BBddfx4MLz/K/HXiQA0efQRbmYHqGianNfO/Mdt5/3uXsnz6X3ZNdSl9RhxpjoHCZlqBBmvEaAGNwmSELhm5e8BN7X8NvWcvC4lEdQIDNu/Zy6c69tFyLZFo11jR7wBq0xI1xXL1pF29/7ev44/4zqunkGUxOcctF1zHbmmzyhfTaI8z4NMDIGe421atrCpfhEM1VsRasabJ9n1ya5+DcYR5++kkW5xcY1BVZnjM9PcXs7CwXb9nJObNbmMy1tEQRw21Xak2gTPQ8ZcSnL3p15NTOUAVPbu0a4i8i+LrG5TkSJT4RFbxUULAaSh8CRZZpT23v8UCWOfrRhDKRFwDDfi6Neqv/tLXHWEOwthmrCJhS7ammpVnuS+LJbI6XQOkrunmGNZYgGvKcxp4ROZQPSFVj2gUnxKr5KMuKpVCTW4cmfAZazsV/j/w+YR1G2VSPjfvUC1RB3wWg0W65YylAr+4zmatvqRMl6UTo0rKsRZM/6wDLdZ+Oy8msY8JohrJ0WzrGINrT3BhsZhnE9dOvK61PJULHFUwVGeIDwZgY+aa/a7SdyNiPln01f+Yt6qDnl6FmZ3eSELTqdIMgyKACZ1k28PeP3M+9TzzC8vIKnYkOCCz5kunJaa7bvotrL7xMOys626yDtN6P0yTj994Ynpp7lo88ci+DQYWbW6TdKjhITdFuccHUJm4471Jes2nLmtMXy5LM5nSy49+XACZJ6kYj3Fbq1DZC/9tyTplUOsmrNpjc4cddNq6L1evAC2vznkSYr0smC2XuPgQQsNZgQ6IDBka0qyQABB+UmcXrCcROn8pwqhjMcmywgjXasqKwGT7UDELNbKsbTUbCZP7cZrtkkoa4LxM9WfUbYbheV1efCEEoRR39ddAeSqqpB1KBWn0kQbzgnGGxqun7mtwacptjjOY7dTJHqDwmCBiQXP1T6dmdDzjnEGtY6g+wkXmltbu5aIFoPUCTu+GDnGacPQxlNeEKqgIGgSCa0V4GmlpYpa+VkBrDVK6kenRhlEHrAiUfwXMxlCBqOYC1CwXSYoFaQtSi0vcq5eVRWrJRjQUQH1gOHmcsRbTzPhdDAQiZjQxLTXCZmIYxYAwrcfxJZZ3IlVkmO2g2ag9evQlPhHi9RBwXqyrOqWbwtjNL5T3t5GM5BYZSBx+lM9SpWHkWC71PHl98YYfEAXQj6/nDciJ6HU0MK2KipmnnQ8IIOi6rAQ9eYBDrPfmgvoOOUYYvRrW3NVJ8LPYJ0M8cYAhSx8s6RGAit/jaawVcHShYEzPLPb12TuVLlmuPNaq9OGPo+YrcZmzrKIM3vT55p42P87geQ5F+BRKoWgXOGB6eXyQIdDKN1JsvB1jjmG21yaxls3isdZgiQ4BBjITrZtlwnowGIVhrhgwrSq59X7E6YbOT5QQJZEIzt4g01eiPM5qMMBRBw9NtCISlHqbbxuSOMgS9rrHUcR+taSWQqPeJltkJ1p46ppV4D3wdX4uh8h6P0LJZZC76+0T2WhtoKGkdgpaoD77GGEvmdEf7lEVvVMg0keGJtThrKOO6rbzHGkM3z/EiGNRcmvafEaGuA310bFkU5oJo7bBi9f4TaZjtwMfWAQbwgWAttShD9UH9fbnNtG3FoNbKE2mPjApGpwFnnKGsQVpEIs3G1oKIrMlzSZNsgFBWGGObZMU6CGXwaB9tSzYyYelh4+WpQo0zbriRI0NLonkvZtKq4+sE102L32q11DSb1ihTW8/xN1ymgCgb0Sq7Gtqcvm+Qnj/9M86VVEpYS6f+gGSOyS2NNnVCpGsb9TL160By2DqrEXjPef46SIzSrZ6eOGqXxhsE08rUlGOTafBEV6NZE1WUKAVwJiNH5zwI1EF7dFtr4v21PEvlgzKOhmDpBkw1lIKgWqjTQogSz4OhQFJYhxet2aQFEIfPFGRV+RcR6qrGOw2GSO+9DsqkqyihpnldqWra2VCQSgQ4Las0HTYKDKnSxJKvccbSsVbnxtk1+4ZVgg1oBFrpK6aKtZpqGfRZk0CT9llDrNM1V2kw2qtm6MyuK6+tKNLvGZ6f1oEXYXHQY3Oni0H3p0jANvZ7ZQTNPgnpOnqtOnjdG5FZANSSLApr95bUgeBUwMtgqKn7MDRtWaOFVqMgWsaBFvFFNIJnwgmYl6z6XT8IItCJ59fN6VqloMCsnZu0r2IaQQ2NUFNFehFE15+GXStjFJS5pfWZBJBerZWPu3kemZ/OlTU60CpaG3RECh+FVGtST6fTh+dmzy8FRKiTv8PoAiCpZfF4QhBpzBepH4Ut8ua3Ak1uwuhiWw9BhCrU1EG7SjZSWCMxqi/Ci2+kmlRKHWiYCUbPKUOshiwgsoGBOWHVonVREl6zCIPa+UMQTsj/jSGzWn1XUAJS+5O7t0A0EehcpPpm4UT3eQHw4lV6TOMRgRRdYgxeAl6Czveqj86hND4gg8UYS25V1a9q33QCzZ1tJC0voZk69c2pAJAItzFQeu1r4gwUueZDCULl15bIT1pfZlVbaWhtJIJZJIppjFmesaaKs1ctWje4anx1XWOAdjbiu1sPxoCz2CIDa2i5nDp4XXNWr90MLDETEZVWy3o4vyNododI05QrXSfE81XLtc37wOh52nBOyLKN91jla2bbXXxQSR2EzLmm0q7BrE2wjddWbh8ImLiu094WCqsRfkGEsvb0q6hFxjWQ2mXgVwulqyhn/D6ZO58PUsXr4HXNKm2oCXFNq49HhQ9njJphIwFPC9NAZNJJiwqNyS5BRAUWQddX6X2zLtN9rNHaY1WM+FLfIGQ2CpfW0IqaVAiikYirkPb96cQZ11DSzddjlOseX01wGUpEaY2MrvUUc51MK2lRrZbm4OTvlzBU7SNRiccta39/3HXTQEdFhHXusx7S/UdNdqMvdd2rrZYIV2NkwDIynlET4kZY73HXw0brYsN5Gr3hOu97Q4zOz+j94jjWqxRx3HPHLyQRv40mZuQ5U9ReklTXcbk06y9w4vXYYGReRs9vMLqO47h6kUYlDf+45Zx+z8nhpNdtQpqf9CfN6+jP4l+zwfsc5TGj05WOJ+Ker/PeNhz3ehhdpxusj/XW13GEYL31e5rxPHfXGGOMMcYYY5wYZ1xDSUiSdjK1rJc3cdqxjoSWGPnoKNLxFH9/ouiZk8KIZJVEjHJERMrXkbg2xOhrHZEwR7Nki1EJZ0SSH/WNbCQ5radBjgpKYfS6GyCNer3zjhtnwkYazQvFiIaSsJ6AuNG8jUrIG2l0x10/YVQTWuf3y3HjpeCI0fWWxpN6Gq2nGTV4seZ5I4y8h/X2baOwbrDuRl5Dg/WeatQHtibICI6b+EH8/XF0bp3522i8o1h3XZzk8ReKsYYyxhhjjDHGacFZo6E8X5w2STRpKKMqyUmev67knrDO9U5a4ljv9aTrraOJNFhHE0ph06MSUpJEG19Quk06Hqcrf4GiyKhklDSyFKq6nkSevh893IRfxwOj4xu939AGno6fWPJeb5zZyPyu5ytLGPWpbIRRX2AaT3P+813fIxiV1DdSNF80vMDnGH1/x83POr9PGvlGGkF6f8/3vSWMrpuNkDSb0ecYvc6or3R0fYxqSMnHMxqOn5Ci2063JegFkoUxxhhjjDHGWIuXrYaSsJ5tfj2+mx42SbKlX2tDbqLA1rF9rhu1FRHWOe2FRr+MSpCj408Sy6jAt964Ro83118VygusGy1zsthQ8k0DHv3hOlE36bmPs02PamrPU+I97j2sEw02mrCZsJHPbRTP9/froRlPfIL0vkYV5NH5SlFfJ3v/9dbp6PejRGS99ZfwfCX/Bhtp5C8STna/rhdterLztCFG13kMBZaY6BhG7p/Wxwuf8OeHsYYyxhhjjDHGacHLXkMZ48xiVEN8iQShMcYY4yzEWEMZY4wxxhjjtGCsoYzxkmLUJzLWaM4sxtM/xunEWEMZY4wxxhjjtOCMN9ga42WOjRTc0byNFJSVDjPGywHrveXx+xtjNcYayhhjjDHGGKcFYx/KGGOMMcYYpwVjDWWMMcYYY4zTgrEPZYxTwnJVxXpY2vAnt7F3PIIPoWmBvF4trrF6fGbxnD4QkZcsE32MVwbGDGWMU0LustjnXrsSJjhjwGo7VgBhLUcZqQgyxhmCQZSrixxf/mbMTMZ4nhj7UMY4JQgQRFaVGDIkvUNEjqvOe1xRpzHOKEKq2WbMOGJrjFPGmKGMcVqQhNyE44oPjhbbfKH1wcc4vTDmhCHcAvi6JsvGRowxTh7j1TLGqSEyBpVwhzb3MEqljFn9pzkwlmbOLFaqKgoDgjEGZyzGgDUGMRYXfzdm+2OcDMYMZYxTglQeY9VfkqiOiAxbxq5DihofygmPjvFSwVmHNYZk8DIItQQMMn43YzxvjBnKGKeEFRPITGQbAoOqphLPoPYIAUwOEB33x8OOHb9nFJMZGGMxGIJ4JIZP5C4js67pu5P6qpxsH5UxXp0Y+1DGOCUEUaf8UtVnbnmJp449y7PPHObw4gL9QZ+B0eVVRwoURiiRG6++M4qZapiMZoyhnefMTE+zfds2ZqZnuHDHHmDMUMY4OYw1lFc5FsuSzDraibDnDh8EHzytLKMOgpdAZpXsDLzHGsNji0sslEt8+OF7+OjiYY489TAcPAB+RbvIZRZcBqkT5HE+FdZ+P8aZgUXfRUDfVR3AOcgLyArYtJXinPP4X3dfwSXT27llx15yl9HNLJWvmchzEFHTp7PgLL6ssBhMkQ1f+0inwTJqrMU4KOMVhbGG8ipHr/YECUxYp8Qg+T6MoQyBzFiqoG1GW87hBR4++CS/+5XP8cUvf4VPtFZgMABbQ55Bt4hXDoBZvyfymI6cHTDxPYkBCapCmvixFjwwdxSOlLBnD7980Y3ccMMNXL1zL9NFd9gS2QckCCazem7twRgktlIeM5RXB8YMZYw1GdGyUoI1mDz2qC5rbDvnvvkeDx17nB998IscvucumHsGZmZRigMYC1muhMl7MPGaIR0/wX1B+c4YZw7tIiUT6b8Nuh5CiNqlgaKAIoNqAPPLMLuZOy69iXfteQ3fve8qvAiTucUaSzdziKgnpu9rurFSwmj0n00SxtiH9orCmKG8yhGCYKOUWFc1LoBxBhnUkDuMs5TLK/zyA3fyBx/7GPfPfxu6XZjuQlnCRFsl2zootahXM5jseIYyauryY45yRpFHLdJHAcC5aAIT8DW0O1BW4IK+z1JUI10w0G7z6ze9lTte/2Z2dqepQsl0XiDASl2TWUsrmkrHDOXVgTFDeZXDxyx3V3vd7bkDa1iuK3Kb858f+QY/d+8nefrez0B3ArZuUoKyUimxqfqsqTFqjBKkRCiSD8Wss8zG9OTMQoqoUYZo5ormrlSSxQQVEkLUVHBQ12C9ChLLNdm1N/IXV9/ORbN72NfJkNITOjlBgv4ehqaxMV7RGDOUVznqaNZwlcc4gxfBZY7FquK+xx7i5v/621CV0PXgK9U48gx8BmVfw3+sBRNNG8km7mv4/9l772jLjrvO91NVO5xwc+fcLXWQWmrJkixZlm1kWw4YjG3Gg21sMIaBIUwg84bFGob1Fo9h3gwDs4BZ8MAEM2BYtnEi2LJl2bJkS1Zq5VZLrW51Tjffk/beVfX++NU+59zb3bTk7la3pftb69xzT9qh6le/7y9XnkNakddnAo4zAc0ivTTUcuLi0n0WgyLMo5e5dkAeFI7SoqyEOZ/LYGqK7994Ix9+5/fz7lVbJBivFc57nJeJXwSUVwYtAsornKY7HWpxSqShcJaZzJHZjP/55Df5Hw/eCTOHxcpIItFQXYiRFIUcQMcifJwP73lAyf95LnEV6Gu5sgBZFvOGLy4pxD3pA5DgBWD684S9DyATyfsqzLezghRRBPtPwuo1fPJ7foQbV21jXRKjIkMnTG8SjrdokL68aRFQXuGUB4Uz0lJ8OJtb7t//FG+/429h1y5Yv0SsCB9cIioCV0jMJIoFKEqAyTJJFR4cFPdYkvY02rIApZQoJdctAsrFJWfB6KAoFNBui0vTZaJIRKaXtGEimb+gM6A1uFwApWng+FHeM3Q5P/rDH+Zd668EpeiECV8ElFcGLQLKK5xaRUFiIukMrBUf2/0oP/KZj4JuisBodMQyiQqoVCD3kHWAYKlMWUgrXDe4lB2bLuM9l+9g87oNrKsNk9uCkVod6CVzlZ6P0sOysNBxkV5aKlvk5K7AeZjJMiZbMzx2ZD9Hjhzhvzx5H62Dh2FJDEkFEh6CFlgAACAASURBVARoZudgYEAC9kpBooVPDhyBy7Zwx/f8BNtG1zOaKqpRfAqQeJjXMX+RXh60CCivcGoWOd5DNYppdtps+rvf4+ThA6CakvFjKjA3C8uGod0UC0VpaDWhKFi1fgffv/VqfnDDDlbUVjCaKqyzLKtWu94SoNsZquwZVWb5+MUsn4tKzoP3PvCBw6KJtWGyk9Eu2jw3O8UTk4f5pSe/BruehEokikaSiiUTp3Kgog1pCi0Ls9P81MZb+Jl/9UGuXrKczBYY66Vz8SKCvKxpEVAWiSzL2dfK+YtHvsx//ee/hNElYkpYJ1lfSQozE1AfhEYG1vK9rOBtb3oz//amN5MmooE663DezWt53g2dhH8W5cmlRR3rg4Fxhonxnrxw7G/O8vWnH+ZH7/tHGB+HmodaFTq5AEluxeU5OAATJ6Gj2Hjr9/L4rR/AestgVkCaCD8BufMUzlJbbI//sqLF3ItXOnlPksQ8Nv4cf/WP/wDDoyL9rYM4hiKH5pwUMTYbghDrNvCzH/lxvu+a11NJJOjuAZTCaPG5e+huvOV9cHH0PRbp0qDM5hRlrRDQmzB5FIUljjRGGd6x4/X84W0fQG26TGJqKLFWO3k4WCY8MroEkoR937ydRw48g1EGoki6UvedRtKKF+nlRIsWyiucxtstYh0x9sU/xt7zNVi3AvJC3FyDwzA9AwNDMN2EKOIjw5fxcx/8Ma5dunLecTy9eK3zXrYAFqkhXygL28JzKxRA1qNFneaiUjk/oUVKOWc+l/lRSYTv5KiqtNRpFZ4jc5P82qf/ki/c/y2mNg9JTEUFJSTPoT4gWYHjJ3jbZbfwX257H69evkLa+ViL0ZpEqy7PLNLLhxbtzVc4pSblgWcfxz6+E4aGJFuryKFah04bKrVQyKZhxUp+4b3/hqXVMYq8IIqjbgZQ7mQPDUA0UqCwlqhsvRGoDJmo3j8s0kUk7/DW47WSrQT6C1ODlaIqcffrc3mTFfUhfvmdH6JjLZ9+7huwYiXgwWfSULLTEYAZXcLdO3fy6HU38+rly4H5u6wszvzLjxbVw1c4HZyb48/v/SoUGVRSKICOhWoiqVipgQjem67hju/5US4fXsJwoijFQeala4dRmsJ5CufJQ3V8FEVBQPUe5S9rkaYW6VNcYYuPl/ZBZFCJQUt0Ho+wQBZpbGLInQelcF46TcfaEGnDluERfucHfgyWboQZK5Xz2olEiSJot8BamvU2/27PvYy3mnSsI9GGSCl8O19su/MypEVAeYXTocZxHtv9tFREayXaZZqIy6talboEpfjut76FK8bWk5oIBUSxIc8KnHd0bE7HFsTakJgIrXy3a3GXFvjmz/T24uOlfeC9uL10H+D3WZFRcEnmzqIVxDqiYzO00iyvDfHLb/gesWCbLenxFkXSHUErqVdKUtxTjzHZmsMGRUMp5PPFDI2XHS26vF4B5AFVaoNGg/NYBVopfmLXvewdzMFbUS9qqbRU0Qm0C5jokN5yAz/2qjegjabV6VBNJVU0jg2xUsB8t1bp8ppHZ3Btnc3j9VKJHB+ez3i+/m68MO/CrRcAjZTuycjQvr0bm/gXqCgKIkSge63EHejlfA4R7M6XQl3NP88Z6Ezt4RuhkrXe7YWielXxgYxSmAXvpaa/J1dPbPziVa9lzb7j/NzOz0iNSl7IYMaxWCBRDN7yN1/7Ej/zjg+QGIdzisTos0/+K4DOyHdh/rtfAJxzOK0wWuMCzxXOEWnTi0lZ11UOrAeDKAxW9/jQe08nL6gm8Vn56MXS2bl9kV621CoK9k0dE3eX1hJcdQVoIzUo1sLICP9h9Ta00XjvSZOkdwDfx+2vUCpHwCwUjka/YA3cGNmLBqNRSuFdsBqUCAlrLc08w3uIlKbwjksll6YapVy5/SpYvkKs2SgSvtFaHkZDYTlx4iQTrSlACdssgskLo9KUVKAjQ6R1cBsrWY8mwjqH7XMf+k5B4TxGIckVWqGV9O3Li4JIK+rp+QcTWASUC07+LI+LQgoaecG+6XH8oedBedEkyz0wtBKVKe/w3rGNfGjTdSLgcotSKmhGns55EGrqLI+FdL7Hz/rQuZ355ytlepeCi8YreWTOkzmP8x6FwgDa90LOuVcU/8IFltdfOI8D2s6TO7mWjndyMU6OrbQmMUb6rXkn8SovGmh5HQvHI9aKuF9iBMFUj3WfdXLulBrDDZdvJV67BaZaooh4D15JG4QwsJ88vo8np451ccS9TAGlnIeSf872KPnulN+hcCgKpbDB4pATyDxqfNjwzlGJDMYI0HijUZWYzHlms5yW1kx02rSKAq00lTjqXmfH9qWLnyc6f5y1SJckdYWM6mNKwHvP8RPHYWpCejQZ3WVWQNwVheOaq69mMBmU91XZQdZ1Bdsrnaz3eHyQCAIwIhw87gVAnvWuq2028w6tIsOFsQboFAWFcwFQDEbJdzObn+XILw11bM5gUuEDKzeCMuBd2AfHi7ULYAxz4xMcaEzJ1sCBDU+Jsy3SKRRp1U3B997jbYlEMoj9lqpH+vFlhaVtczJnaeZtEpMQaUPhLK6QR2YtiTmNa/ocaTGGcoHpJdPDSsZaoPnNe9X3YiorePzEITAWaqUAcOLu8uKmoFLj/eu2s7YubKK0IrMCKEabi7LZ4vkez9IKMS/ywN3YhPXzxl56Xfrwueoev1z25WnKnydao7ynClRNxIxzgOZwK6NwliVpRZo92wKswyQRvnDUPKj4NK62cC3lrgC+PFH4XjeWtuD9b5cqUYQGvn/1Fr6YDHO8PSfB+U4GFmn+mcRkaZNvTJ3g55VCoWhbh3WWwaSXkvwdSeUEd4czjHNpUJzmJ31f7/6+LPosrdrS1jXIlEbey7F1AJfciqvLKGY6HeYKR6QMXzjwFH9zdDe373sKGrNcv24bH9l0DT+05Vo0Cu09aSUl8l0d8bzSIqC8zMlzeiHs8Rw5dkz83NBrR2/i3iJZsoR1q9cSld9xHqMV3knNgi0B6JVMpWXnfHexdwfdn2n0e6SUIstzkjgCD/snj7Fnz7M8M30SozSv2bKdK1ZvoB7FuHYeYhPiBrsgEuFFUqI17cKycXAV65cu4fjkuACK9/MTEuKYL7WnwwvPmUXtIvWTVqVFp4THvPCZUopIKwogMZo94/u48667+I1n7oepKRiMQBseeuKfeXr786yfafHWm95A2tf1uW2L89765vwe7RVIC5fFC17eQZM8W3PEsx1voeZr5ytM5C6Ytn3+dI9iJst5fG4cIiVaZLl/OEr+zzwMjFLTBrxourbUwlCigV9EMFl4398unalQ/0wBy+7bfVZJ4RyFdaQhqI6CmayNVoaBOGjg5dbIkYxZP9+YOGK8Y3no6G6+98HbyZ94AjonIU7g6dVcf9XNfOKGtzNWHWTAKKKQqecLhyqFdrjgTjBAuoKjP7uv73vnC4ish9hollfrXFMZ4QGjerykQ7JBpwO1mLnmpGQTe7FS4gvgcnnJ6SyR7VM+LfnmDHjaC2+FX4ZsQacUhbO0rCM2EZOdDrPZHH///NP8rz0Pc/zJB2X7gaG6FCM7JzuqjqY0Jp/lF+5z/OHaNXz32svBOUnovADrdxFQXvbU41zFfD7uNNuy6JUCpeVT78X3bXNUmnTNa5+KYCycRSs9by/6VzJ18pxGo0HhHIODg1QDgBgVEb2ABasQt9VEe4a77rqbfOc90mBx9RppDX/iOA/t/DpPrNrCTRu2U1Mh3uUcKtIXXdFvtdrUqhWs91TSilTKF3ngJ+Q5a4Oq4ufmxHhTAP706eWLNJ+UAqPRQKIjMu840pjkzqd28sijj/MHz9wvSspQDEncKxY1kXgdKgbqgxzcv59nZ04Cl4PR+FY2rwPC+aJFQDkP5EMwVquy+Yi0mOh5JMr/dVeoF85hvRcfeqgrKMWz51RFpr9lxenIuNLiCW+E50gbFBL8NUqHIJ6SQF1kkBSjDPHWKtG40gSmO5g4lVTWoN0apajqEE/x/ry5XLz3eCfBaQUB4PgXj32GkNGLpjP+vLQgnUdphbNO5jeMxXOzHb7w/AP8+0f+SVr5H5+FbVfwmRveydVLNrJxsBLGPcy9MWTWkgYgVqX7IhzvnmP7+c3d98KaUUm7nZmT/UVGB2Bugn/65j3sWHslI6lkdzltsM4SKY1Scp25k27PsYlC9phnOutQj1PmWk1qUYW6Ru7Hg/OyB865UKWSShIBnlolFWVEhQ4JWolQqw/CXAdUuG8F1ejlASay7E6/NtUC5nTeobxC6V5iAj5Yml71xqz8CJgsclIXc6DRYvfUfv7Tnod46omHoXFClMHlA8JHUQASpQmMB96CU6A1g04Ta421FqMj5oxCF456fH7nYRFQzpFE7oU+SIGExwRU5H3V9RoLMCiM0rIde/hd6XqHIE+DTC3DGS+cgiAMvzMh/uEd+D7ecd5RFMUCiVxeZUnnJmxeKCmlUN10074PzhNgnQuVYKrDYldAYR2f2f0NPvqpT8DwnFxjdQge3ckfPTvNT73/A1w+dDXNTkYlSUB5nBdw93jpcaZ0V3h4oG1tT7vUCryW45bA2Y1HlL/pDZRWitlOmyiKSExMZqXWINKaRBsm2nM4D6nxMs5AO8upfacHxC8B0gp8qQj1kSgSsv7Lz0wp7PvI51bmNrgx+y1/5z2zWZN7nnicv3riWzy8Zw/P6oasi5FELJLMg6YnLJQDZXqvB4fg4H5GaqMsqdQwIW1YZMz5X1uLgHI+yXtwPoCB6ikb3kvWTSnl+6Vm+aW+gJtgjrxfznnXYgn/lBlWSRkw7z7N/13uHInW4nfv+6BiFGM5YAN6BY+XPJdSjC6dwnovkBnP5hprFgXe+y5zJ9qIlX+W45+jYn12CucvwnyasOBn84KT7Vl+6dlvgD8KbkRajZDBcJUvTO7iC/d9mntrQ6wfXEU1L9BGkyMCpqJCQL3v/pT3TGYt8DakmwXk16rLE1UdEWtNHLRbhcIruabGXJPBJEUpjdfSHuXhk8do5G1ue/CfyfY9B2ji9ev50603ceuaa1g3kNDIC+rxuYmAcsdH55mf9bdw/kr+L98uNaULPpEXnvr5FwDr0NZJ5lZkwDopVvUeFZvu2Djr0GFdzmQFSin2z3WY6Uxx++Fn+MTkAZ544kFozILrwHAqnZyh65amCIkaGWKxVIwASmRlzJ/aC7Ua77nmenaMrcUGEVM1EeYCjP25cdMinZ5KEwNwuRWBqtT8rJeSSiBZ+Pvy3/DctWQQgVJuoVv+spsm2vsHkMpqD7jCorWmnedU0gSjNHEUz7vW+Uc8P3S2OEukDdZ5tPJoJcV7HvpA7fwz/Yshh7jjDAICSmlmsxbseRaWLpfA+eysLORqDUYjeHoXf936PD/57vezamQJ3rou4Ht/Gn3Ww2TeFlcXSiZdlRaKByWtSpQKukbfT43RDAzUu9aNLSxRZDjUmOL3/+ZjZHMHReh4T37wIJ/bN4l6u+JDW2+4IALllUbOC6hGfj6vKxMs0BBUL+NdXWAxSsDEOjCaPM95buIIH9/zCI/t2sWXx/fDiZMwXJF4SH1AAMMWsu+MRup9okja3KgorPlctug2WlzXWqNfdR23XfcGUpNShH5q6elk0XmgRUA5R+rPqvIo0EEWBoEYxUYEuvfijy/lhRKxkuG7xXEKwIqpUDiL9QUqaKsOSRX0vs//ymksh0AlLHgPmS3QypGYhMxZitwykzWYztqi3ahwJO/FYsEHAdhzrFwo0VNu7mRO059qofAs34Oegvti60cWUg+QTw9gkdI4Qo8tABsAwRvIPdCEegqNDsxNyVbJRczvH3iAP74v5slb3kclqjKchPhZFFN4RxTOnXvIbUHLFsFlgcyDUWKoWADNsI6pGkPuXFASSliSpAkViZvj6ak29x57ih+/79Mw97Rk+ixZIe11Zqf51LEn+dTOiO9efwVDSY1zpSiMl1GK2CM3JRpBDxD7ZrHwwvsXSJ695GR9iIcCMYZIS5zNOQ8erFYoPO1cLJB2SPbrdCzOe/5h/5PcPXGAv9n3BBw4CNmcrMlaCmtHxBLxiDVScqsO7W2sBafluYKMdaMdFscg1dFR/vp9H+GKDZu4cmw5AL6do9KoK5/Ot8K2CCjnSIoQj/CglWSulDLaQ7dxoEbiGf3T5xEXlUXcIQ6P8wWFg1aRkbmc2U4bay2tIifLMppZm6zdppMXFEWBz4vTXVbX/aBiQxInjFRq1AcG8N7iUTwxc5z9x47Csq7qTFcalFL2PNLpwAHAe09sIrRSFN6hfYj7KNUT8heRnHdd8AeB2KXVQdSV2/H33wdLB8UyaRYCAIWVLZOtI7vvbj5nlvPOm76L5dUxWkUWlAlhEOU91snxGy7rLW7vkHkIXKQUURyzMFYXLggVGbGCnOfOQ4/wR//0WWgdgKXL5DtZWxIHanWwGRw9RrPIzgugvNKpzHqMtbQk6io6pXbkBXRk7gzNvMG+ySN887FHeHbPHv50dj80mhAj1m4c9VLMk1QAQzIowLlgifqgCCq6imCRB2CpwMbL+PVNN3Hb6h1cs2S0y7tZXpAkoYj5AiH6IqCcI2nv0U4AQ2uNReZ8ot0mdzmoFOs8450GHdvhZGuW6azFodYsE1mTu+cmOWJzDuVNbNbCtlrQmJNHqyUmLq6nuXobnkvhH9ilDLgvlMGJmL3kFpwV8zmtiAY0NA1RaKtStvXJwnEd9CIyPfp2XN8eutlSJTnnyYoci6LVaRFpRawTKlHpApPvLWT78gjnapmUdMbDBDCTVieQhfGuRZqBeICPXvE6/uj+5/iWcXD0WLBMCkn1rVQhnoNalV/41ue5u+L53etuox5X0K6vLkQpqkEodJyV94wSBnKeEHgD7TFxjPcQh5hZCbYt6f3Hk9NN/nLP1/lfd3xCXCLLR4V/MCJsgvsD5yDv0MlzyToz5yYCSoBLNFRLc72kcPmCevKW9R6Fx3m5j/PYVuyiUMV5cWcpaZHiBP+Z6GR0ipyT7YzpbIZ7jh/gcxMH+caBJ+HwYSADY6AagQkAEStwsdSG2bBrahTLBGsNqLDOA384C3NtAJbpUW69ege/ctUtbLt8K0NJQmYdsXUyB9ZJ8WzZjdj7826dwCKgnDuJytn1n7aKjIm5OfZMH2dyYpIHD+1lemaWJ+fGGZ+e4XHbxrU70G5KwddItaddaC1bp5oIVGCaWlUmX9MDERe0FKBbXFjyxkJAcYVoPiqYyHEiOzG6DEbGZMtWFTRh33ec+f+eEyk4BYHaWUZjbo6/uP1z5FnOytElbL/6Kq5Yu4HExFSMOVUbvwikVIhZObE020VBEhnevP46pt41zbe++nEYGIDZGUirIiRmpqBWkXF1jr+/70v8SG0Fb7725u5C9ogb1MhJsN7Rrd0oNdLunusarU8veZ13zGRtfvvev+fTX/4SrK6Kv73dDHUJSo5TqcHstPDLuvUsrw/hvGVRBJwbqSSMn5c5c0rR6mTsOnGAA/sP8Pe7HuLIxCRfnz0ie8YMx6LkVWqyNr2SfYeMEcuk7PxdFsSCgEDelvUZFBGKAvIMVqxmxdZr+aPNN3L58Hq2jVTJraVwvrd+vKfMIvOF1C95c6qyeD7o0uem0u1RCsogmEplyCj5TualFkTqOpRo5N7LhC9AY+c8uXdEWnfrN7oUvmcV3dQ/pRSzmdQhzGSW3BVMZ00y2+HuY8/zfGuav5g+QuvkMVxjCpoNKFoSHMMJQESRqGMRsm/EYAwqDRqpppcyaoS5INxzAI9StrhS6of7KTXehVTKnygWRrVWjquQ544VkCkb+OkAZKXgjzXen3rsF2OZQG/v+KrR+E5B0xist3zkW1/g0w99EWYnxWI62IG9X+Ind7yZn73hXWype7zS6LKyvMTPF3n+F0wLwWvB60grIkx3X5ANg4afv+XtPGjn+Osv3Y70REthtgFJXYRCuwVjKcxO8u67Ps4Pd8b53RveTuEKRqOIOIqlm6xz7Ctyme9mS+o2OpkwuVNAys4Rw2umprlmyQiNvEM1Sslczj88/zT/4a7PMHPsadg4CG0LzSbSQkdB5EU4NRrQaMHAWv77la9jJK1QdL79BpPlqnEL3ZIla/av1yyDSgyVWGIMHulQYB2+zwaVQ8kPfTjI6bL9fPe7/wI/nMGULi+rFAm5K93R8r1uZwHo8YD3FKVcKH8Xetrtm8uYyaZ4dOIwj04f40/G92KPHYK5cWnnX6YEDysYroKKZP1ZLwG0SIHXYa7DXCklY+gs3V5xmRbFc6IJg4N8cOsN3HDNDn7u2lu7ln95p4nuE+tJ3/9aSfyk77vnmy59QDkbBc4wKIzq8UAvb59ThIPSCu2g26mznEAPOCfMGmkSrXFeet4capzk6PQ4Dx89wLN793H/4ec5NDHByQrCOK4j11IP+eGVWDJ/XNl/SQtzO808gCi3yaUI90JYLYqea4u+Z/rIy+9PR+Utl8E7E4C105FriV66GoTEGHAOlUa0Ox12HdrHpx+5Q4Rcrda7luYcX3v4Yd604UquGLr6wnH9eaQfv/x17Jsc557nHhKrYGAIZmYgsxJbsRaGR2DvYf7qoTv519Vl3LL9VSRJ0s3IOnD4ME9PjQdXBBLvyIMP0klmz9cfewyjNT86t40d6y6nYzMe3PU4P3LHx2F8ElYMAkqEDlqUhaQCPheA8RZWrea3Xvse3rj6OrBOClsvNHlEUNoOtNvdLKOorLPpI3nZLxzVfHYP1MMwj/US9O6PcwHzgcT5rmfYI24633cch5cNzqAXWwgWR3mNkhbsaeY5E9NTPH/8MOMnT/I7u+/n5Nwse1pTMDsH1aBA1iOJZ9gigIQRpTErxLooYyJKi8JXiisVrtIHmRFrsX47wIaNfOi263nj0o28aslqRiqjp4DJxaaLDyj9Qr3/7e5zGLAFFn+PX1RgEnnlvA+HFGCIne6BRQAfBZjQPmTWFng8jdyRmJjxTsF0Z4YnJw9ztD3Hr+57EJ/NwcmTMDUZtA4jAbOlSRjBFGwagCksFBfAwMUCHuUFKheAIjwT/odgJShhvvJ+y6B7VyUrkchTAuBpqTxfFMl340g0xbwtJnak4Ty2QJ9nMfZRqkP2Vliodx5+jp/+54/D9HiI70QyPmEL4l3PP8Mdx/fxvs07sNYRlT2pLpUVs4DesGoFn731fXxgco67H3uU9vI5GBkQS0XHMNeCSgSrR2H6MO/+6qf4NdfkA5fdxMG5w7z78TvJDh2E6SOwNJbfeC8xD+/BSReDPbMH2PP15/lobYT48q2QF+QPfAuWJ7AqAm/EXVJPxcot3ZpFAa0m79Wb+NG3/TDvWL8dXeZm657AXji8C8MhC+e1fFnWX1gg06r3SfdfJQI2k27JzvctRX1qQeALoX6YsYiMEN1Lsii9B+MlQ1EbHcYRUHTrPrrL0UswfaKTAbKjpQdOtpsUruBQY4YDjQm+PHGQL86dJJsbh4kJmBqH6SlYulRAQ1sY0WASuV/ZrEYeUQ7Gd+UP2kgQvryNrCM3koa5y3M4IR6OdbUV3LjlRj647Qa2bd7C1tHl3U3WsiwL43Hp0MUHlPNEZeuTXndOI8xbWEHxPvO17I2jjSIhZiZr8sz0MZ7bu5cvHnqGp/fv5+GZk+KyGFaiKRgjE14LmTHWBkaKxeooAaDctKZckVr3tJHSD64CaHgXtBTotkxwHnwu5q5zvesuGdFE4fthxXYBhwUUfpd15HdRLO9FweQuchE2L6Df1LlQf25+URT83oN3cvLxx+HKlTIXRXmfXmIRusHxdkPiCxcoE+V8UmEtS4ZH+M9v/QF+pdnivuOPy9wkFXF9oiSmsmJExv6pZ/h/jGH/gb08/uwessYxScAYq0gPr46VuVdarMlqHHjDSMD/6FHy6SmIUnnfeYgNFIggMpEAtQ3B3EYTNm3mJ9/yEa5aulG4wskaKGsgLjx5uafAo5GWFiCRMj3+JnwcFMKSnU9bK9OvXYQvltgl1scCi8XIFgELz5XnBTmeti0YbzeYmZtl9/QJDh86zN0nDnBsfJx7m5Pihiwa8sNqiIHEkcQgXYhLVoIotTasrXC+NKWbnaWV/E4pWfu2EJkwMCjz0GjA5BTUBzDXXM1rVm7kNzbfyHBaZ+vIUhSqmyaTaE2UVi4pMIFLAVDCJJcM5PoZhJ4mcSbqMh4IMwZztmMt3kM11IF0bIFRESfaOc18lscnDnOoOcXP7X2IYuqkZF7MzQTgSGBIQd2ArgiTeCsafhRiHMaIgGi2ANWnJgRGirQs+NjQs629fM/33ZTt/y1BfSMcM5wH6JrgRVGuPHm/nMGFgBJwjShouq1mABAV2jU4EeDNjHOiMGEu3ER5K2UFtcaTWcfJjuOTj32Vex75OqwZkkVnIhnbKIKiI4uzmtLQGijrPUqGuNSWTiBlmM0ybl65lk/84E+x7f/8T1rP7oHLQ1ZVkoCNJHU3imDLKuic5K+eOQ7tDqwahTwCawRcsywEbWOCcx9aoV6oUoFq0GC1haEBODoh79eU8JVH4i9Ts2AM/2n1Lbzne9/NdUvWEBmNsk5SjINv/0yjesYsOj+f0cqXncLRMAgDdKU7oCK5L2XAJMxkbepxFaO04Jmaf7yyW3NJ2Rks8NJKmcnkueydV3jxaXRCLGQmz2gVTY42Z5jLOxxqznKkM8ejzWkezRqcnD6Jn52B6WmpSPdByEfhImIDwwB1ui5J6ANlGzIoEdDwFlACMCYCmwG6zyQKSqSYUXCyCW6OSNXYsnET/+6GV3HtFVdy3dJ1pMb0to5YQM5LC5/kPLefP1e6tK7mXMhJRXMHjwrV4ZE2ZIUlCamo+44d4PbnHueJp57ii8f2MzEzQzFke1p7fRCwMtlaQVyBdumO0iLUtBamKgoRgOUKKhmmNPvLhdVq9X5LAAXlg6VhkKC4FyYrgtUDdN1nZU66MoKayvQdfpKiLwAAIABJREFUTwn4ARK85ZQF373OLJNzRom4RkCyRC4wWe+pxhEPHXycj3/2s5ImmaaioWUdub9qDbACesDauIJe6OO8RMl6i1LQyjusGBrjj9/2fj6c/zVkJ2SslRLearXEXUocrFVgeFjuWQUwKFwfIuc9wVxJhW/yXBI64lgUhlYTxpZCa45uDUKei2u2Oki043p++tYfJtYRSSSKVelq6mQ5cRx1XVYXjObm5DmKoCh4/Pk9jI6OMhSlVNOU1MSyVLSk3Wqlg5ehd10+WC2ZK3BFQWYLisLinWN/NktRFDRbLWZnZxhvzNKYazLebpBby2Mnj9Jqt3kwb5J32lgKWWMuWIK1pGchayO8aAzdrEqb08u+szJHQNdboI2ssbLDchkPLHKZb4UkncSRnKfVFHekMVCpYq65ljeu3MiHV2/h8qHVbB0eBWRr5dy5MwKKVor4EgMTuAQAZaFi/UI1o5Jc+EhrhTIReW7xzrNnpknuMj63/zH+buogz+57DA4fAu2lTmDAQE2DjgOD5cHqCEKgcNDK+hLlRaNDaRGGZfZFKdDxdIGkfOk9dLwAgfOiybQDM6sI4pitrkIlTVherVMfHmRprc5gvc5YpUq1krJqeAxtNHWdUEkrDKYV0jSmEsUYbdCBqcpmowv1uVbRQWlFO8vJnWWiNcfx4yf43IHdfOnebzK3ocr5oIX1BCpYYTO5I293+P67PwPprGRCKQR4nYc0FlDVkYAeMBTJmJYdkqFnuZ7NYn2pqWIiwX7r8K2MH956DTeaGld+8g+glUMtCJsolToD7yVpAxWC70EjxojASTT4HFqFxOmaLXGfxVoE0awT4ey1aMRxA1wG0UA4poeVm/j/Nr+Bd73+LYxVKsgWJdJTraU01ltqcUwzzxkohdLCgV3gKij37Skt0e46DevSgWx57Ly80MgaGKwL2CkPJ/bxln/4EwG9KBx8uB6UJyVrS6s+hUnTrbsqk0uKQp6dlXPNNWQ9KiVXUQJByY9J4LdYQRLOocL4EdPdrrgI1oXN5TFP3JSrSgmIlGvdWRkIE16XrnGlxAWplGRyzbbh0CxEEVdXRrl686t51xXXsHX9Jq5fvq5nkJW+PiW/jbSedxnzZsg6bJ4TVVIuJbrogHKuVLpGy5zriXaD3Yf38ce7H+KxPc+ye+KATFLdSPxD02POKOr5ncu8b+cCw5YHDi4r54RJuk20ApOpcLyylsR7wAvgOKA6IK6lwTGi0RE2Voa5qTLIttooY2mdHaNLSXXEQFIjNSmxjgBHHJokVoPLKw4LXivR2AJiEYUUwbINeSkHSsqsVPIWzuK8pVk4KpuuIV29gn2HD/Mwx7mQpFB88f6vw/P7RABWa+JeGBuBLJI5mJ4WIRsZMIo03NN3gpXSre4PLS2ch22Xb+ZP3vVhfuKzfwGtGblnrQKvKQELa0XYpam8nxGYubxnJcLJIEDrABP3ac5eXhsVjm8kG2jZGn71xrfxvmu+i8wW5K5Al40AvZdi23DdL8kGV52Q/VhN5H6nmqKYRUbWzOTEqb8pebgEEg3QBzjlGCkl1lvpIVCKboFviXi2CII6PFwRjhUeRQGlS8qXYIHwqlLifizy4LaDbh2ItTJv6OBtUHKudit4BcJ30yFYuYZXbdjG+8Y2cOvK9QwlIyytpD1j1DqU95jQPqefnO+lThdOFNkouCsjc2mBCVwCgKIKC1rLjoDO07EFiYm7/NDFaM88LapZFBTOMVcoZjqz3HF4D587sZfbdz8olohxYmqOBPeKB1A9oZ8GpvaIZlK6lroXFs5bBkhVGKpWR1xFSksw7tgMVCsMpkMsGxzktsooK5ev4Mala1i2dBnblq+mUqlSSZJ5nUatF1XkhVZ896+xflqYXdV11YbP4zLo7g2oiMFggN28fBuX1Yd4ePpQD0ytEyGGCJ8FpzotWcW8WgEf6n/iJMLnlicmT/AL3/oyRDksHZDq31pV3G7aQ6shsYBGyNm3Gbl3dGyvpQVcPMukHIPTnd55T+KRAa2n3R9Y5/m+Ddt46iO/wvUf+z1ah47CiiRktRkROqYqmU8+KDc+lgD6XAJDg9w6spqiKNiZtmkcPgx1K40Ci0L4VtkgEK2ctG0hGeRr7/oJrlqynkEFupJ0+U1uQjEQi/WX95l8wolyP7LMFG0nrryk5Pve1+dRqchEShF7JQxh6VkISougtYUoZcOJxI60E7O6zIrUfcLUEwDAIW38ofuhou/gIAjie0pgUd5NoK5bKCiKIOc0Rs6ZdeSmtAqAIbzfszQ6dGOhSglQ+HAur8FpOcaMyIRBM8hV69byrqUbWLZ8Ge+8/hYSEzGWhkLXcgGXjOW89EM7Q3KEge5vIqW6roA86LOXWqeBiw4oZQVnNwnCRHg8hQfnHZWu/9LJZIbc+VaRM9Ns8PFvfoU9z+3lz47vFvfA8rrk/RN8mHEsmpynt/h0EJplYLjwgO1NuA/fiWPAiVuiE7rB6hhGl8DSZeihYX5m2WZWVwbYPrKcFdUlrKkPo5ViLJXrTLzDlDUofYtbsucXMP93JHlRlsPYqT4NUsWGfzjwCM2pKRgNC7KMQZUg751oeuVC0ypsFHX6oraXmpwPietKUdYtlRlEWgUh5H3XK+KVCNnRSo2Kifhv3/Nefvue2zk8u1+AJIqD9A4asDESZ6hWYPtV/Nim63jDkg3sGFsFKI40J9g9c5xffPrr8NhO4delS6HTknFzTnp0Tc5Cp81jTzzO9u9aj44NLrcoQGklLivvyQly0fe2VyhHWSvV3fjNaN11N54zxTFEss7JkXsutXHrexdQzrf3UBb09u/Z4jmVWp0wB6pnvWjF/HUV1nSXn3wAudKjAN3WJvgga6ycLw6g7AKftrOgZBqRXbUKrF3LimWbeP/Qcr5r2XqWVupsGhwj0gm1WGJDvXsDvDSKBebXy70M6KIDilcKjPTUzfKc2INOQi6+V+JlUoqjmSW3BTvHj/DU1GF+7cDDuEceliBlpwMVL/sF4CBvgFMQh2Bm2fvGB0CIEmGOVgtGgtvAB7O1k0lWjQWShMFmwvqlK3jbpo1s2rCBG5avZfnSZWwcWkJkej7Osv7FBldYEhhFndKNSkiXvBsOsFB2LhSlC9dcuRC6abl9wm4h+b73PTKuDes4YU63Ql8cKRSFdZgQ9MVJa+65vKBVZPz3J+6CShvievkDIAgW72VhFjZ8oCGGXe052tZiHQyWlb4LgigvlYbWvwGa8+BxKA8qBI9zRCZWg4nYKQq0UiTaUIsj3rj6Wv7W3MVhgrADEVJllfqkgwb85tWv57Zb3sDNK9fL+fKQ7r5sDNjMG1du4s4l2/mlb/wT7DkEq8fC8XLRnmsGvOF3Dz7J6iPb2DG2DqM0tUhhtGY0jfvUF0/FWtAKqzXeeSLvQWsij7yPCn235BfdcS4F8AI+U4rwWz/fgMhysRIKJSdvhx5WDhHiNlj7JQaUIE0AnHZHPiiFcve74fxJOI7WzDtxENzSWqj/uAvWhw8KTuHBO+FFZ3vXe3waTETsDTqp8F3V5axfu44b1m1i1epV3LJ2M5HW1OKERBvxnAHKOhwevcCt6JTcujOSAlzW2ZWCeMHVde+zZP8+veuSpIsOKM4HUaIgjUsg6UlarRS5szwzdZD7H9vJr+5+gGL/fqghWS3KS3ZWLRbtrxMsE+vDggtgUmZ1dApxvygjvy+1lSwXpqwMwIZNVEbX8vbqCD+1cQcDcZXV9RGMMiythK6vWlE42903vLQ4uoVeToqsyoZxcJpqXhW47zucurLFeaSdhtADj+2EwwdDwZYWd02/IFJK5qzsJ6Y1OMe9nVlpG38J9JpSff9Ikm2Y7/BBZnNhWZLAx+U2y8ITh+YOsef4MUgRl1fpQgV5bjVIbn0T733dOxhNB8gKSxwZ6bfUKVBAkResrC/lrde8htXFBIfv/ErPRZLUxX2oFEQRe57exX8d+BKvj4YYHqhz46atDNYH2FofY6g+EFrHKMoCWxMUuoWajfUe62w3RvdtUxTRG0Ula00rukkFCiC4tkpLop/SijyXFm25lmXQITU9yyQcKiC/HDuKehaLc+CKIHQUaCMAWBTihSibp9YGoD4EtTqjS1fxlvoYb166hvUDY2waXEqsE+qxdMiuRSKjyn2HCKdFK7RXpwCwUqJihrs95Xa/0+kcueXcSXY2AxDh2giV6wfn2lhf8OfPPshHj+9las9OGB+HoRpcNizM0cmASBhiJpNFFsVQSSAR4YZFYh4eyZZRTgCnkNS9Vc9Zrli3nlu2XsHWzVu4dsU6lg2NsroieeeNosBoQ2o01jkK70OraoUnLAotBZXldr/95Mu/JYMvoG5Fcnhe6IZQC153aYGGWL6ex9Tl/yVAq3J3FU+iFQOOcybptKzENWQ0Fk9kDE8en+Q3nrxHMmuGKtDIBTjiSICjHdwKkUFSocPFaE+jNYn3Dq3ma3fzznuasbwQVC562a+mHGMXejl5BuIE6530gFKKREnKa+6llfkzMxMca89JTC8SwAQHkQJjuLa+iv+8/XVcMTSCa+fCQ84zU+TEUUzkHCaJGXGWpZWlfHTb6/i/n36eb57cJdu7EsPUDNRj4YG65/6n7ud+a8XVtFOJRRTVYHiEZMkK3ju8kptHVrOmPsK1YyswyjCYxHjvGIgFACIFiTGnZHOVfJaVCl/4WJWjo07z8Iik8U7mH0fIcKHbw04FIT/vocX7EM4gxwsHLdNpWzLuoZdSODZ04yRTMyITnJHPO05+G1chTfneeJjR4SE2LVvG6lWr2bxsFUtGR1kzMELVxNTihDK8AuBd3x5B+tRK/yKMS7m0vJPtCWKlekOiVBcQbTiaC1mRC9d/SS8Vv58rXXRAUUE78kEgxUQcnp7g87se4FsPP8wnD+6SWMegkmyp2IhLCi/MOdMSzS8JQdHSCikpTmU2Cgs2h8xCvQ7rN7BiZDV/tu1mhpIKSyuDxDpiLE2ITdyN7XSr74FI626Sl/WyQc68wiLnuxsxlfjRZaDvEIZ40dQFtjBGwcQ/1DjKw888A0uMDEYWtGite2PhnDx88Ff7oCGOn2Aqa7KsOnzq+V5icsHtU/KAzKsm0r2KbtUVdnRdZMqJdbp7brwvS0jPT4DIWly14Sq2jqzDW4cKLlQFFM4Sa/muDtqu97C6voIt6zbwzYln5Bgu1BIliQjfwWHIO4AOMUItwmt2BqYmyXY9w8eBj3sDUcS/Hl7LpvXredWq9axZu5bNS1aypD5IZAytTodaeo6ZRGUPOVuI+6o2HHqdZcILOgJ8z0LyCqkJKVdPSZ4yrNLbLwb5XRRDGtGts4pjUR6TBDZuRicVllSGuS6ps6M6xOrqIJsGRhmrjLC+PoxWhsRIckIacKoaSQxJB9nfcymH9dxPPhRUOz8v1R3o/n/K8i+PufBY3+F00QFlJs9ITcLe2SZPTT7Pf9zzIAd3PwFzxyRotiwFYkCLiRrcKpI9EkG1LhZKR3zCsoCsfMd7GJ+DwnKZr3Pdli38wFU3cNW27WwdXUakNLm1xMb0NID+SfaeKkoqi70CFdrUe09qzDzgAKBPY+m+dxamibv6zgL6NhmtzN4pd9Iru8FGWq6/vJ6O9UxG39455pEW66RjrSQfIBbLH+1/glw3IE+k9gZkgZfgYTSl+0iuKWjvaQonTnDs8BFWbh6Zdx6gO1ovNDvuXMl7341TeSQN23rXdXPMZRaAzIHHM5tlgGM6azGbtfiD/Y9DYuXey0aghYVUwVybK4aXMpKk+DjCemjmHckKilNpGxRpfFaQJhHew6paxHuWb+JjgwMSj0i11PbYYHlXHN0CWIPUQeAhVqKxVw3dwLVWfLLYBwefh8dmYXQJW5dt5n1XXscvX3MrRsc9Qb9gvBNd8tf89zFKpEppcbRDfKxjYGAFf3rL91EUBZVmTpqm7G9OieVfWPIixxYWKWT0koOjNcoYjNYkcUQcRURRhI4ijNZsro+SVqrUKxWSJKZmYuIkZaRaJzURlaDwGQLvWN9bWkZTOHFFdy0DL4qCgu49KwU2KEwOOVDuRKGsGLHoSj5JAk8bIA/NPwG6vv1wcqvAUTpKw0HpO+l3KF10QDHK8NSh5/izR+7l7p0PcbB1VJh9pCKmejnT1gtwlJWqUq0VND+PpPAhaX55Jr7X+gAD27fzb5Zfxoc27WBJZQljlQjrHNY5cm+pRJJV1m1COe/igkle+npLTlTCQKetMg4CvIs0zotfoP+7LzPNRLZM8uS26I7Jl07uY17bmDjEuLKQ0aWDb70cmxJQ4hhOnODQ4YNcuWkzqSkLRy8OOUB7cN7R6LSZmJyi2WqIGyOOmXQ5RZFzojnHyfFx9k2NMzU5xd7xY+w/ehSGgiZer4d6k47wcbUGlSorV67AhAK23BUMJiltW+DLrAOQ7X2RYapFKStWrRTwSNKeppvnku2lkDWTFyFm4+j1jAtMqcLDh4MODIBKAMXue7/Jbx46xDtG13Dt+m2njMeLJhcUu9xBrcZt215NNUqwLqMWV2iG9WydtIOHMtYoSQ+lQqQUlOpa/9JJdEGq46DMgPcW6z2R1gJGgTe7G7yZcO9BMY0WZlkp+UX3ROX5EdApxX6sTTcU43zYxtv3WagKTL/W431QpEo5ozDK9OTFy4TOO6C0ChmgNAycdg6Mlo1dSqGsJQuocAUrvvJ/yJ7ZCdMnZWOgWsgGssiiMIau31kpukVEeHFvJak04ZtugInYGI9ww2Wb+fD2G7n2iu1sGAxabjlxSgHmzPrAQkFv9GlT+7qMs/CDLuiE16dTpfvPcZ6do8mC481LBPCewosFUTGKkdzRzcpR4Vl+JE+cnUrFq2JkTCfaBSdbU/gTR6VK2nuYnoXRMWnvPVCTZomREUHrlQCNcaAi6Xk1WuW/7bybDTtu4PrR0d7JwjxY59BKUzYEhTMPYznP3Y4Z4XvltJQadhlSteGuy8/HWy0ibfi+ez/DffffA7oDzTYMViWVvCsPAj/mXu4riWGFEeBUWjIKfbB005q4ZXPHs81pGrlHRwXVwqFqoKyjFcm9RkqsTZVbyC0trTk0NV5KWBHUZRuQvADXhqFhUA7ytsQT0VAE15fzYvlnAEoSU6Zbssa0hk2j0DrG333ldjZ8cCP1erW8O4DetsynUYg8hOPTu75Uy/+2A5WYtfWaLGMltvlIcuY42QujvrRioMfE/aROXYenuNT6qP/eSv4qX4Zn03dIo9RpU9znpV0vkCFdfj3N714UdRlYjlPqIYF95q19eeMcz3cWOu+AcgopBdb17sN7QOF8wefvuJ3s4a/K7mVjYxIbyYNG54wwu7OyEFGyMMu2C0rJ9yYnYGCQeMc2fmDjNj647io2DK5iw0CVTqgKXqQLSz37Dqx3nGjPhorh0BgvScRnHkVSyDg8SrTpSopHHwpBWkTiZ00BHlvwxFN7uevILq4ffa0c1zpxWwRNtPBiZZ7rFrZno0qU8rF//hT3PXaHAOKKEblmZ2FwUHi2f42WQbZSfpTdGDwi+HES24gURDG7nnuOuWvmUINjuGYbVUuopgmZ8+RWGpxqHYR1pMnyjL3P7e1lJaJlzaiQCj82IskqNpNtCrJQKV4W/CndA3IICSvhmptNWLkCjObA4UOh+HaRFumF0/lbjYH5qqVfPiCn15I2WyK4zy0Kx1cOPc+HH7xdFlxhYc4Jsw8Oy7HaLaCQQDpeIDdSkh1UWGhFUKvwh9e+lauuuoodGy6nGkkdilaKVGsG6dN+LjAyv1JJK0TaBdnjvePwkSPQaQbzxUE17bkhJ5qoKy7nb7e/iV9/9ghPZsfCZylQEa0/ipkb8fz8Q1/mhzZfx1BaJUmkrYm4/vv0xXmKSh8tUMhiffr5Lz8vIdH1PE0AfP3IHn71oa9BpQGrB8Q5HkUCJFkmwV8QIFG6pzCXdQ2JCgJdCf9a5LX24OFzx5/l5oO7uG7p68jrKT4viKOIMhEgDW7XY1mTseoAt+/dza8dfhK0k0C0C6nYzsm1nWyKxXcyg7wBawSgu3MRa7H6K+G64pDSbYHEyNpqNCjiZWjVEw89BXdxHV1StICvF9Zl9QyYl2bezh+gnIG8n1/xXO4wdrI9ByeOw6Yx0Ywqod/R3Kx8sUwvTRLhZpvLfgEksHUrv7jpRt6wfDNvWbMJSeRzWF9QMXEYvOA3famit6906hvm40ePSqwgKfssle4WC0XBqtoSrhzdxGuuuIon79srYKKMzHljWoBneAT2PMMXv/Il3vKm21heG2Cu1WQorYgLNbfSyuYC01zewXXaYpmA8GCahmSQkKpemhHQGwetxAroAl35f99rPJw8ya/veYAfGF7N5k2bsB7yokDpUDjZ7BCnMYNJhelOi9/Z8zDFM8/Amrocw1q5niwP3YYL3nbLW1iiNQ81pnn6yB5xtzUbAtZ5BjnycE7arJeAVKnBiWMQGV53441kNkcqBxdpkV4YnT9AWYiAYSE5mO/HD9lGhffiY9c6FCgqWRRKS8DSFeLOcjFozRazhNftuIafufZ1XL1uC9VIUTgv2xZ4Jb/ruwaPOj2YhOvqbsNwnmMYrzgq/fLdeVUcnZ0Wl08aia++cBIzcRZ8wjvqS9gyXOUXtt/Mnz98R2ASG1xBVWSb5DaM1vmhnZ/m3YOOP7nxHcRRSuEdRVYQx3EvcwdYuB+LWiDfu7TAl7zw81Mr7yXmxNSUBK+jVNp9RDVIBiCfDbwr9y9AEgLR3gOxpLpXlIBPLhaHZCUa2DBKsfcRfpoKP2Zv4S1rriDSmlRBZjOaGFTH8q3jB/i7A4/w+CN3yaZvlaoE5svOw60OWM+PVy/jV659E1tGxmh2OpgoZrbV4qmpoxw7doxdJ49w+MgxvjR5hGNTk8w258RF5pHu242Iq151He+64XUsr/Y6US8uk0uT+tUTeWM+f5d1buX3LrR+ff4A5QxktHS6NUqjlORqa6PYMLiC+oaNNI48LYtCxyKEoki0qbwtO5nVRrh82/X87203s35wNauqhkbeItJpr/FhOUjezwOVTp5L9f0iXTjyzCOtFJ1OJsJSGXHtWCtC1VmII5YnVTJbsG3tJpJX3UT2ja+FolMVeMGIpTo8DBPTfPaJu3lnnvK2m17PyOCQFFMqaQ1yoU35TUOreM22K/nq4QekjmJgUDT9TluAoxLL9VoNZWC+sL2F3ZgR4e8RN5gKLiasuJ7iCNptvnrPPTxz+BCz22/m2quvZsPgEirG8PzMER7d9wy/u+dRnn74ARjSsHyFWOylZWGtKGVFwWtfcxP1uILzkMQJhXcMVqtcGa1nx/KN3JRZmnmL98yN07IZ9508xJ9PHkCdHEebiH+1YTPvXLODdYNLmckaDMSD/8LoLNIizadzBpTuTrdhXXeXd19Wg6eMo0COI/KK165YxZ9d80bev/85Mb/HQorw+Bx4x/uXX82tt7yWD1/7BtHYjMFZqUgeTCpyJuexSlqz+KAkl2mGsdanBxO18EIX6ZxIIXIU8N7TKiwzWHlfeRGiWovQ0wZaLTRQKyxKaz5z1Rv57Yee5S41LmniBeJKqtRlP5p1q2D8OD9x7yepFEf5xBWvZ019OdeNDc/Ttsp/zzi9C2IsC+snTtHAQwX39UuX8X9ddQsPtWaYeXY31AJYGKSpo8klw6oI9lIW7rdShSThp4avZGCgzv+wx2HfXhhsiYsqDWB7cgrGRik25Tzf3M9P7jwBu+8EFQtYuJYUJWoPqypQG5LGkFNzkhXZbEhNy0AKRcSGTZcR61iwWSkiL+swSmUtDMYaRcLWkWE8nndvvILf9FL1384LjNGS6GAtA/VTwWRBUtEiXWQ6ZRoWKFgLLZJuWdEFEoPnDChno9w5jJIqX4Wk0jnv6BQ5b7/+9fysavP7zz2KO/QsoFE7dvCLm67jx7e8moG4Pk8D1Sa4tYIQA7qZKEqBUppYAXi06lUdL9KFJ4/MhfMW7x3d2gfrIErA5aFuwhFrjaok+HbO1pH1vOnmW7hr5+cl7lIfhuPHwk6EzWCpjMBsTvsbX+E/PvA4P3jbW9l+zRtJ0/SC2/CtosObXv1a/vfYIJ/f8TSfmjyCbTagsPhOBkMJxClxVMPECa+vDHFFZZCtA0tYUqnz+pWbSHVE+9E7+YNmAxpH5cDeiaspEpDFIFZGI4PmCTCpfJ6E1PjEiJI2Oy2vx8bE5TUwIADWbEKryfMH93PF6DqcdWjTv8WvrAYfFoVWoFE0Ox2qaUpWWKqhs2/uLGlkZO5eZt1wF+nC0jkDSrmeS4VvoeaXLAhWlltarkgk2Pd7N76N3772jbQ7HSJjiKqV+VXoCw6YIR+UWTtylL7gbLli8PPdMQt8imXPnfQCC6SXPaleG37rHIlJGB4YFBeWiaQLdJ7LFGUtiA1PN6bAe1QaM6ra/Pzr38Gfzx5h/91fhzUdAZB2Q2o5FJJNVVFQG2Tv9AS/9Y8f47d2fpl43Rb+YNP1LK0MsKY+ylA6SqolJT0xsh93qjUeT6wKBpJql19buQWgGvXxDr0eVWW36BElrUc+tGUHH9qyg7NRJzBYL6tM3HL/76vfyjvVAN/96d8FqhKsiRIwvqck5bkEyb0BlNx/5gWYCyUWW5oIgLTnQIcMSaxYdzXDb33jDi5bv5nVyRpwltwYPLLnhv7/2XvvKEmu+773c++tqk6TNwcsNiITgBBIgiBoggQzQFKkRJlPsoJlPSrYpp5s+T2/J9uyjuxjPZ2nYyXKihaDaB0qkRIpShQFggRJEAwIRNgFsLtYYHOc3NPdVffe98fv3uqe3hkswJ0Bdon5nrPb09XV1RV+95eDgpZz4KVuCKCaVfAeKrGiXIEJNUXME0iC8rL6Vd0VvGTo8l6P7u0EoBTKWpRSFD0mZcyStM6X82yWCuctUM4bWlFJU2lRoDRKdzWipb3UFSwLfOjDhmR2e+8YHh23irpqAAAgAElEQVSBpzqgdCj0UxIvwENi+FTzNGiND52JrXf8yitezwdOnWDq0BMwNgo69JDyTphWrJeo1qT49dQp8mcP8G/+4avUGgNsHh1hdHCAjUaGmY0lGUmacuv33MhVa7ewcWCI3FnQCqM0zaKFUZpasjQjkBdDtNyMVlxz1TW8qvn93H/f56CZS9FhpYoMeOtIUoLyQvguCBkVYlGxwFfRtf4SJYzdGImppAmHDh7hz/c9yOvXX4Jv5Tgto2S1knOpGCP5AtaFjMuVVXYxwwOxa4dWChXLNryXYvJQ5xUZfeHEvalRmCUWJrAUAiW6nOLb8Nei5xp92T2aoTKaZMEKV846UNT8Fr0V59CYyurWFctkSVB48FpaRWllGEgN16+7BHIljK+eyLP2FnCQKpqHnmbvxBlGqwNUTEKqE+7aspMb3/kBrvnk79B5fDdsGRVNfLYpTLdIhOGmbckCq1ehUWUGmPGWk/4ETB2TUmHrIEyOZM9XufI1r+N/XfcmRqujbBnIcN4zmFTQRpfkFRXu/k4DixFyacn07Rct3v78f+ct6weG+dOb7uTPOhn/bvfnYXICsJKIYHXIcEOEhc5FUGQZZV86FbLE5Mhi4fgOKAdtDyqhXZvgtx/7Et+3/RXsGrmEDVo6CqBCpmUQ/t75+RZIVHMD+q86WvZxe0z/7//eCl5cdKzFKBXa4fuyOt8rhUs07aKgdzBcHF+gIx9eYgvzwnOQet9dQH6FWi90GC19lyKUUmxdv0GqyL2lrNOIc7YBTp3kkb17yIzBe89ku4nRhk1jq/mt297NmhtulIr6yQkYGgmpsU4ETJJRTvsDCfbbXF498ntZIu6iNIXxcXbfdy9fPfAYHSut0J33VNOkbKC5nIixQ+s9zbyDVpp33HybVLGnqcRDlBF3l7Wh6h3ZPjDYPYhz8tncrMSW2m3Iw/ja2AK+6MBAA86c5i/v+TxzRQuA3Ha7b9tC7pNKTfd7K7hokYXGmdINez49e+9JdYLRhvkFqcvHV89foEg0vPyn1cJKnQ//4n7Wd7UegI5zdIJ/V9Ih/dkBGYIX4Kyt3eMv9m8FywOR+eFZWcdwlrJjeA31kQ0w0ZHteUdqjFCS3WQc/3n3fTx06jSV3LK23qCqFDWv+LHLr+exd/wEV119K7SrMDMlcYLBROok8tBc0WlQqRCRC4ImTUWQZCkMVGGoBts3gmvy4XvvYbLTBieNA3EeVXQVl5JuoyLTp9D001Gm1dnWDJR0HY+nw5jZqjYMakNFO44cOSj9zAYalHPOa4n0B6umEkeZy2FiGibb0mtrYg7ailptLZdtvBzWbYbJJiQ2zEIBsFKZXzX85mNf5Ocf/gfa1uOVCRM0LSYx5QK1wVpRsPj1963DuN9i63AFLy7mikIej/do5/GtHN/KUV7iZsoWZN5Tc1DzCl04dBFcp8ugUJ2/QFkilB0+y5WoluWCV7D06NVztQKjNVdfugMInBUlVoU2xBbuDz/ybT5/5FGyurQuiT59rWDNqjF+51Xfzwfu+j5pxWMLyWJSSMqtMUGbD4WwJlgsnmCxhOl7eKlsTxN2Hz6M9bbkgr63v9xyIggvnIfEMJDW+Oxn/1bOL8/DnBjEsnJWsrhQUK9JWxSjYeMmkle+mh+64z18+D0/xm+99Ye466pXy7FbHRGkyktgvhPa2DjPJ7/xRb7y8DcoXEEtSXA+KGzO45zHrGRwXfSomoTCWXy7kJhJolFZUvJOrRQ6MWXH6nlK+gIK+/nivGMo/b7V0jcXtKB4zvHUY5pvVi5mESVlkeIiiL8Tj5fGUvdw414M3rCCs1F4V/povfMYIwLlZzZdwc8N3ceZTguUAZIQiE7Ewqi2+aU99/ID265mdW2QtbU6cYa5B167ZpTXrXs7/+6qW/ns177Iv3z4bjh0SuqVsgqY4AKqZMxLJXeqZJp4L58XlrUbxujYgk7QvLNEz1NYIn0uNDypd3sZGwnb80B5Jmw/KzSn5XxmigLlLH/0xIP82vQ+WFMVt5VLwBqpdCeHfJAfuvFN/Oy276Feq7GpMkiapUx0OlSTjJFQT+J8i7Hh3Xx4bg/MFUibF0BVJTNszTDMnOJN9/wpH+ic4oNXvIbMVLi0rtFaiybp/Fkn7M9aT3JhnbAAy159K7gg4AGlNK0EtNI8OXGGw7On+fyxAxztzPK6sUvY2Bjh9o3bAcVAJkpEy0kyTe0cfPeF4rwFyvlChhUtoCm5OMNgaS94BUsLaSUfmEzktkpx/eqdXLZhE187/qikEOtEGn5WBiUeMDYGT+zh9478AR/8wE9DrY7zjlQbWkVBBU1hLYNZg/e97m2s3XUlXzyxl99+5gF45hkkmB1iD0qJlaKDtVK6bJy42ibHufLa6xmpjqFROMK0Rd8dnrVcKPKCJDFkJmEu7/Dv939T6kfaSGFia4qyXsdoGBrk5pGNXLF2C22X00gzjFa0vbRIn2vnZGnCtau2MvnWt/DhT++V+6qDO3B4FCbHRcAMj8CJk/zu3X/D1txz1zW3kCS1Htfd8l77CpYfrSInMynOO546/AwffuBe7r7/fh5qnYIs5eMdx2vvuIMt9Ro7RjYQwwne+3KGzFLivI8Y5wKUPti+IEp8G/crfc8hlmLU2bnucmA9r/lf/H6qQ7+lGLd5gYjeh9xBzwyjlwzxfDzz/5WIFl/UuPv9+33bSpd3eK/iZ1bSbxOlwFraztEygNchDkFUd7q/9TxQM4YKCqcVPuvOmdlQ0/z+2/8p6Ay8gdTBcF14mEb8/6Nr+fXOHrbf/T/56JMP8cRki2ZRMFvktHCYNKGRKIYyw5s3XcqvvfJtfP32n+SnX/U2ylG6aSpZYCDtUKylHCtsDJyYgk27+H9uvp0dg1VMbknDbJ5eWaJYhL320Vk/nefOkTvXT/blc2h6h0NxqlXw2JmjzB58HEYTSKowHarm847EfNqz/Mz6y3jvthuoJpqxSqVM7RzJEgZTQ72SkmjFhnrK+668kTfsfDWqWQVXiDU2Nwm1TARK7mFQg5nj39/zST59cI9cEgvQWcBZ9yFcfy1RK9bJAogxs75QUxeFpRzSZ12PyyasycIuuLYjT2gWRZlR6J2n4+Sz6dxyqtXiickp/sfjX2Xwr3+D6z72X/i1Rz/LQ+tyuGINbKrBliG+/PAX+Fd//2c8MTHNTJ7jlKKm9YIxwPPFeQuUFSwzIjNTvX8vIEwX4xBxW+/+zuOckzEz5wvfffE9rGi4Umf96Bqy618lMY3ZGYmftOfEZTU6CuOnIEnhgfv5pT/7GB/b80VOTk1QTzIyY+hYS2ZMWaR4YmaSe47u5qEnnpDq8pjZNTsDzkJ9AELbEFmwOWzYyAdvfD27Nl5K4QrxMQdFxb4IWU6p1lL/Atz9wNdDZ+0aTEmLITziAjQa6nVuuukGALy3z3HULv7jq+9k8+rVcj9Ajl20RdDmHbnX9Qa0O3z89AHaeY5zUovQsc/vN1bwncMXVlK0ga5rNryPirXvk0hhrVor8+l7u7UbJUrM/smTfH3v4/zkx/47/+0TH8c/9qgIqMaAxCrbHYmnGQ3a8PXdu9k/dYjMdJX0CzKG8lKj7xmc04iPQjm+RukfU0jPEtr9mvp3YBU9F3QvR4bFj98rTHrg+y68VUiKaC1UPnvCSNX4NaVQRpOZlIFKhfOFVQoLpPEHckkVTrRitFrn6ze/g1/7xgE+oveL+ykxgIfWhGQnVTJQsHfmKL/y+U/wKw9/hat3Xcl7RzYzmlXJnePA3Difmxln//HDuEN7YWoKRhqSetsqJHhdMeA64HLJlGppaLf5ozfdyRuueiVj1RoUFhfqMhKtlsTkr8fReIFOYtfj+FyzUEj41WNP8B8e/jJUEBPbK3AKqkClBkemGbnuOt689SrqqSKJre/DfS3Jg/m4YfU6/vTdP8Ktn/ljePIJ2DwCg0Nw8BCMjIBvi9pooOlct7+ddZhe5nKRYjGWuLSrtIv+3ztXOZuqZniET/Uu3fhnrrrz7MVQ8RikALFwnoZW4BwnO5aOK/jcwT188vg+/vrJb8ChgzBSh/ocWC2WetvLGqhoSBoSpxscon3oGPtnTpNbi1Uu1KMsvUVx0QuUlzv66TkJMae43fr582gA0AqPtGRYCmh6zkOBzy1tI+eyZXA973n39/KRL38YTp2A1aspp3JCtwK+VhNr5dBhHtv7FI+RQKMunzXnRGAkCSReYgM1E+bjJGEeyJy4uBoNmbPTWMddt7yZO69/HR1XyPwUI33krPckmAW0h6WHJBp4/urg43D6NGwbkhhKvSFWlfcSYyom+ODlNzGY1WnbHBLJ1DoXx5ruNLl23TZ+9Za38/NzczD5jFh+69aLhjo4BKdPQbPgldXBMvGh3WpTayxvl4AVCLwXxQ6vziK53FlSLe1xOtbivAvrtcvqW60WXzu8l6/ddx//9cBDMD4OqzKp9dJOaMmHzK68LXTlAO2DkGlDljKQiAIZE6OWo1P3RS9QzpcnLOZH9OWrfL6YBdSvsfQbNOcyKheaRb0QPJEwBdEy65/f0X88TX+5E3jn8a5DrdnhfGFUOCfn5WEkBpVArVOglCdLNe+66gb+ez7Nb/7Jx9lXnIaNmyBvCmMdGgzjga1Q4/oGdDIZXauVCJ6hQTBInMB50FYmd+oE5jw0p2GsIWvwqVOwdh2fvO5O3vyaO6hpjc/FKkOBdSJgRWtcQNi+UBTBbRQEZGn0BG/aeKtg39RRPv6tu2FVVRzuuYW6p4xbTY3zg5uv4Yd23kimPLVMFr4vXLcivc9SiXS2vj6Ix/O/X3Ejbx/bxD/55O9z6uCz0PTgDByYhsoA79t1OT+z83vK682WeXTyi4XzfHqLYxHPxAv9vW6tj+qGJ/GhkaqjHjwJM7lFoZgtpDP7kdlTTOez/NSer/Hks0/BM09CXsBgHTY2wlpT4i6NQwiLQtZQb9NUp+DoMW5bdzU3rtpEI1ioNsRpzpd/9uO7g6peBoj07b2X7hwhAJL2NsZcAGUWUzyAUmitSLQhSZbm8cucGydDy+LCM7qkVu89d+66hZl3N/mFr/2VaMxOi59/chIGB4JwmJUDVqohWF1IoL1aD2ZQKqZ8EbK30gxMIeZ+a1aY9aWX8vO33MHbb3wTuSvwnULy8rUCLwWMHokheM8L5xAvEG3b5hsPPgAnjsGadRLfqddFmFarEueZa/GWd9xBI5UMLKMVWKkpOBestxTWU0syLl23gV9/y/v47Ye+xFcPPyED6tIqA9dey3tf8To2NdbLd5zHVJbm2a/gueE9ZWKFhEmkWWiqFd6HjujBarTecmjmBA89u4+/eejrfGPPkxzTU2K91+pQ8WJ1JIlY4yDCBKRTt3Pi/k0SsB2Jo0zPwfadfP9t72BtfQ2FtSTGLIt1Ai9HgbKI5tGPuLX/42gZxLqYfgvheT+ncB65ky+Uimj4uN8iKmM/ENRU2WD7rifWC5Q9z5QitpW3DlJjsM4yV7TotFosFZRScl5RflmHQjPjLKlOWF/z/Nxr3orNEj7yqU+xb1MiLUSGR+R1thPcXonMa7e5BJidFp/wnAs3JWhjxoPvQOZgqEblUM5NV17Jb7/pvexcewm5LailCUo58B6fi7afhk66iu65ng98KBgrY3nhNQryP3v6Uf7tvq/D0BDgIAdIIOmIhnmmgEuu4K7t1zJQNSQx4wcog7YscKphQ6qMhGRm2qS1lO/ddiXv3nYl+88c58yZM6waGmbNqLTS71hx/ZmQlOAKi06eWyG50NG3mkuc96N93gv5uaGdI06T1c4JXSjAOjrtDk+1Co7OHucLx5/mE0f2sW//43DsGFQNbBoGOyJWcKok4aSTw0wTvBalKw2msFbiMs6djHyYcVCv8b9tu57bXv0q/sVVtwBgZlowUO1avkuMl59AudjhReOPK2muHftTyft28LWkobZH2pIrVE/wr21zjs9N8uTBZ2E154XY6RTF2f4YQCtN4QoqJqHjLD941e1sGV3Nj93zcXHLTE+JRVLVUlOChloVbMjWqoaUYONFAyty0KabNtyZA+f50bvu5J/tfBU7Vq3BecdAltLMcxrahHqm7gJanqW0MD5z5iDs3wtb10sVfFoTS2y4Quzf9e7LrpORxloH//dibHJxqHqGLyxZmmC949KRtWwcWkU1STDK0LaFuPqcQ2HIWx3SygID6FawpNBa92iHQUGwjhMnTnL44LP88p77eOrIYR6ZOCYuq5GKTCoNBYgo1e2EYC2gJU5YAN6JpeJBOlYXMNOCSoU1N9/IT26/lh/d9RpRJr2lk1sGahneOllDLP1aePkJlPhwXWBQ59LQ4uKOgaywOZqMtnDS2iBsj6ygcOITzZ3CectMXqCVpuPEl9rMc9q2w1NTp5jpNDnZbnK63WSiaDFetHm43eSZvEW7OYV1HmcLCWAXuZi3tpDzV32pr/FE4uZqTc5dGzGbk1QY2ewZ2ODABxJQirJNCL4nGPDcUECZjaSi8aQgS/BAHcAqWl4KINfVNN+//TpuG7uEPY8/xp1f+gs4Ng41K72tjJdrsyCBE40M6QoaWrMDc9PQ1FCv88uvuIObbr6Zm9Zvo2IyBqLJ6Dx1pyDVKNN9LuUC6nEBng/mChlvnWiZHGqUEbdabnHNOb7w9AOwYQiaU9JjTBXitptpgUm4a2AL/+HK19BIU2xhpR2KB7SS9v5BEPYrlOVj7rGIVJZgAKM0WaaBXoERnnNwlaTVsk/yRY3+dRcfqwtbCtddH0p1I4qFkwB4I7QC6odnoWOL8uS9p5wB5MWFGBdcFtxJeVhHk21Jftk3NcHBmRP8+eGn+PPTT2MP74fx02BSWWtrUlCZrNNo7Xsv1rpSYdS0lsfoCS5gA20lySmTTRgd5eeufi1vePWtvPmSXSUtRlRehLjZ8v/ChQLvKXP3dPy3iDDpdSOVMQi6r96Dl0p+k84/hgq75M7jveXgxGmmZ6Y5MH6KU6dO8czUacYnJjk0PcVss8kXVVOC0u2QnZGoEKy1IjyyBNCBtyoJtsVrUHrxJxhLDCan5bg2FPqZRL5nCtFo0heBsQSBo5VCK+mAumXVOuo31vj4prV89thePrr3W3D0SOjZpcSnWBRh8RiohOegMti5i3+67XpuW7WFN2/cwWDWoGIS2rZDI6nIoo/B8pcQyhiYmpTrqQ/I9SjEVTE7C7OzvPlttzOUDQB03U+hSarSZYe7FSyCMuitVHiV7d1kGiWJKeHzeD/FGgxfCOu9x/A/697H36B8lb/boZNzpk2gb9k/twW5s3z1wOMcPnSYPzn0BN86sJ92Pik7DGdCE94HQdFVhKRzghceMDgIrXawzDWYoGAVFvAwXcDWrbz7ju/h7Wt28PoN28lMhd4O4C8mXjYCxaHwWjQWV/geS0L+ir3EqqHHk+qLTTStWBydoPC0rMN5z+GJGc60xjk4e4ZDzUl2z07wmeYZZiZOSUfZ2Unxe+YtIYQoCADwEqCtWokVqMDwywyNRdhJ77m1i/mfxUPHJ5umlFaIF61JBFMGuiJdbc8HYZGV80H6VOmO8xR46iaa2GKxpdqwtjHI+3dczfu3XcWv3vAmjs9Ocs+hJ3l6/wEOTk/QyXMKZ6lVK2wdXs0ll17Ca9ZtZd3gKJfWB7uCFem6Wk8S5qywkmqWyES6cB5nGSTnaZlE1ONYapC6jmitaYVXmsbIZmaf2AOba0IHCkkJPp2Tbb+Mf379bdQrlTL7RysFRtrOSLxLfmcxl3f/9rkiMMdA4f11Mkt13RcKygmFvenVTjpEOBd6tgHQIy0Q/UwacnY3KihvaO4cMotU+p7F26bi1rBhOpdsqfH2LJPtcb556ijfmDjCR48+BUcOw8xpWfcGqKeQDshvWBcytFIRIO28R5oFHqETSDvy3TyTzyc64CzGDDA4MsyfvPatbN+5gx3rNgBgLOhErFzX6kjXBLqX2b2O5cF3vUDxdG+eVqHVS8/dbNkOoDDeopUwPe9BeaSaXHdbw1jvODY7ybHJ0+w+eIDjp07xkaP7ONmcYXpmQsxT44VQMyMHqaZywDSTjpjRp+qDJuJi2mkUIjactO6+70evQEmCWyN+X/V8BsSWK7Lg4u9auSl2uchqPowy8/72OHJXYJQuF1Elydg0uIo3bb0etl6PJ0ErTatoU00q1ExC7iyDaXcxAxJYVlKkqFFlO50+feAlgTKaH7/iJn5j926xVNJMns/EJHj4V9ffSr1SwfpwTV4RU5nVQv3tVnAW1EJ1OgrRm7TqeiUC+fe7sM8WKnK8JNz/uSJHqZCVFfR+GyZmOuf5+vGnOHT4MF/a9wSPP72Pb8+Ny/oaTEQ5rNa6HhEP5VwgpUXZc7675k0S9vNioTgnRa/NJkzNyrmOradyxVX81qXXc8OaK7lmrBbcd2CUQmsk3VyBrr0I3oc+XPQCJTKQSFdn+ZoD4URztfBSyxx9q2OhWnw2L3DecrwpGvupVhvnLQ+ceoYDM+P81ulnOH3kWRg/Lu4K2xE30kBFiGPQwEiNkmnHnlK2CAzdBMLSlNqS8kDwmUYhEwVN5LTzQiRhH60pTREdLJS4JuL+vufVA0UgahRgpM+TB5Kl4bzRMul/HlnPGw9oa0k9gBKZGRbacJrgnWdVNY7+9WGhV2UhBcS0y/BG3ETOkxZSuJjIHGJgfuPHfrooYw8L8KPvBJ7waOJ7o7FK8QvX3saNs/Aj938WTk4AGoZH+chb38pd198OhUV7cIkMG0u8B6PKWd/nzBwOrj0bLMB4q7L+GNh3mWUS4Re4Lo9Cma5wnoc+ATRXWKwXbwOAduKa7ThJK58tPIUreHrqFEeb43z59BE+MXWM06cPSYHh+Alk+JuCWgrD1bCWQ5BccumD8taz1uJaB4gKl/fQtl0Bk2Xw4DFYs4Yf3HwN1199NW/fdhWXjK5jMEvAOrx1pIhLD+cptMakGuuhUxRlx4yyI8ey2SaCi16gnBOBoCLBKES4aKXphtbEemkWHZ6aOMYTTz3F5w7sYe+hQzw4dVy0/AqyWmup9EdKKkGDMIHBK3mfB0GCEg2kHYoHvQNveogoCIZSAPQx9miZJEmXW5WvnnLex1kzLfo5p+syZ48IP49ck7Ny/GWEL6zMYtBSsKV75h34wuOVR6eJ+LiNCEznkfbw8dqso+M9Go/pOd+8sN2pi72MI/7t/fIz0p7jq8gzwu9qJQv93a99I3+xdQtPz5zBKM2lA6PcvmmHfEnrUulx8Xk6XwbjV/D8ER93NEiMUhS5KIha6dKdCIT1IMJCKV1WqzfzDqenJnj2zEkmxse5Z/8eZqen+XTzNFOnT5O7UCtVTyFNQpV6j3CIUGH9R0XRuu4a1gYIngqCByHSTVGIMlqtQWOAn/jBO7l2aB2vXbeN0cowq6tynsT1YYtyfWEd1ltwJlzzi09Dy8tNXgQsZpl0Gbc8UO/lBtswN2K606Flcz71zG6emjnN7514hs6B/TB1GmwuE/SqKdSDxuy8MGOnwsMD0HBmRginty+Wp9S8qWTzziMSctmZ0bnuKtBafkNpETjehwFMPUwzxmAMCFcOv9l//fF9JZ1P7HF7YZDYyvkFr/s1/f66nKb2JHgyFEZBK5GFnQXT3qNCl4hu5a5W0EFylOaKgkTrsqmdD/9y53FGkwQGES8rthZRSlwTve424CyLdUngfelp9FqVlopSsDqTtOf3bL9SBKOSNvTGWmEISgSt9R4bFBEZ/qW7dETX8uu/vzFL0YTrikV0iyHK83P1oLpYoHqCTAqJbXrvmS1yvPcUXlzCM7kods2ioFnMcmpuitmizf1njnK8Pctfzp6hM3EKP3VGesW1Z0QZrAUL2RhYm4AakucS13EztPzRRl5LxS3c4JKog2taAT4kyVhAeynePWOh0eBd9c1cfcVlfO/VN3HFjl3UkhTnIfEO65xYrmEt5HlBoTXW5qTekGpDpjTWWYxXJL292paS3p8DF71AORd84VBGNMXcWQ7PnOGpvXv55u7HePqZp/njucPiNtBeHlQ9kVoB7bpZVkrTTZrwsn8oSKRWl89RQiTeBmHhhcisDULAnM30vS+JY56W4zy4oKlEjdy54EYLFpALQil+vhi9eMJxvXzHaMRXm3Z/exlRS1Ks82WcIFb6xxOWin9VapWl4A17yKRBXx5Pla/djJq5dk5Vgc5StBJXh0JhLoRZOvEkezobS3qxbPeAdS7wKKEBpRXdG7KC50SgF2cdRZ5zptOiOdfkZDGHLSx7x08wNTXF3olTjE9Msr89w6npaZ6ZnsQ2mxQNI+vchXVazyQuWW+IlWA0Zawzb1Na+TG9N0mJHX1LF3e0HnRY886LkhrhPWWmVi2DjZdw2auv5sdXb+etm3cymDZYV6+UffkAlJbuFsIbPOIASciLglSnIcYjP6eVRuEpckuSvrhr4LwFyvP1RUeWEHcrg6e4EACTPXSviah1afp3rMV6T6aNSOmg7Vs8aWCMUvuhMVrRdtCxOQemZ9k/dYw/PLibvz1zEHvsaThzSohhoC5puklVND3vA8MOcY8sCRdou4w5XrAKWktmhLE7BzjwClQwdbUOKqFBUsys1JAUhdwJrWFW6hFKgeM8pBlD2TD1aoXLkyqJMaxRGZUsYzStUslS6iZBG4MJs0AWe5BzrqCwFj87R6vVIq9knDx1gr9eZZjZvRvGgmYVn1C0rKLb7hw413NXUMYDAGq9dT9KdV1WceewPQvbFZztBydq6uLrTtKkjJectX8URr1WXi+sK90g1vlgFHRTRnNn0ers2RGRHCDGdDyokLrqPRaxOnIrSQNSA+DJSoYUztd70pCoUXkOAR9/vlxv8br0Ite1CJbDMvHItXY0EJYBOrA3pYJipuHMCdI//iWSsTEq1ToVbVhtUqpKMaAMA1pTVxqNJo5emXMOh6fpHePOcsrmnLQ53nbw1pK3Z46QzGcAACAASURBVOT4eUfa2XRCim2MYbaaciBFWJOB3hta4p65E/eVCQW03oPLoYj3N6X0Juh0/oOwIQ3cBUVSIfyk18ugUhFEc6FubFoskds37uSynTv4v3a+itWrVjMw0JDDurOHvskzU71vStQXcFlLobE6d/xtGXDeAuV80e7kmEpGbNhXMm2liGasR7S3yCgKZ6W9t9FlnQ9QSvTmXIvHDu7n4MGDfOiR+zh05jRPuHE59mhVtA/CF6tVYfAdyfYiDdkZPhBM1ESixujiOSIEkheUGkuMdzgfsjkczDZle1oV99fwGAwNooaGMFmd1zdWsTGtsKnSYCyrsyqrUU8yVlcbVJMaoxU515oRK6iSGBSqbK3SCckFkRVFPTjSkkPRth1qJqXwFqUSptszvPHEs3xQaWaO7eFljZ4YVHfd+rKlzVmjqXsElMjeXk7f/cyEf7l1GG16Da9zS+HvJsTCwU4hLXbOPEvxzDMUuWPWFpzxNjDewIjnKTFhHSndFQjx7/Axg4l8RyHrLVp38R4PDMqN932HjpZ+GlzCMdaotZyzNvJ3ESwL78EX4BXoRI5v0u75mZ7zshaKtryqjgiw4RHU5kv4sfWX8ZqxzVw7dgkD2QDrqopatcddfpHjvAXK81SMzkL0Bac9WT0qCpK4yL3vyeJQYeAS3SEx1nEmb1M1FfZPz/L01CF+55nH+Lsje+H4AZgYh9EhWAWYGqC7AiEPq9s5eeCJFgLotOXzNBFiy9sQNS2lAs8IxGOUVGx3OtDqyLHTKoyNcvvQKuoDA9y6ZjPDw8PsGl3L2OgYG+tD1NOMWpqRal3GCGKaolKULpt46T7clthyxTsnzEl5tMnK7y2EjnUoVZOsH+9pOcfq6gg5FW5ufoYvLPy1iwbZItddxgoiEy+ZkNzMIkjeMibhfbdPmo/pGvGRe1pWsgPzKMCDVe3ReA8VI7Gg0pIJv5MZETzicpdtClBeCmMjrZ9rGZne84cLRijF08iMom4Bp4KFEnaYng0xxiBYKl6YudJAirQxCAw/unFLFRHojYEpuutQK9mQd+RYUeHrv5OKcDgL6C5vMVrOo2PlXD3BOvfQceDzwBu0CBadxUXIvCzMppVjOy/8I/dQqbIlGWG00eADl93Atm3bec2WXQwMNLqec6XKRo29WO6R1MuN8xYoS4peDhrQZa5Sa5D0pkNqRTPv8NUHv8GHHr2P+598ivF0TohgMJXpZXjKLCzvKbMtLPJZkgkhxGyLSrVLhLaQ99G8LYrgIjGS6ZVmMDxKOjLMzas2ctvAaq4ZXsvq2jDr6yOkOqGqHYlOGKlkaAWpVtiQwZU7V7ZDkPVkCfyKOKlN4gcqBHnDounRmqMLpB+RLOOEN48nt05chInCe0eWvPh56i86Flqfvne2ZLCMQ4GoSg0YTepjFbQkdEh3Yk/bFljnSos6Myng6ThhcJmOMS35hTwvqGTy7Avv6Vj5bjmQ7OWAuJ59ECbeBwtAieTvFyalJdLDD2LcsPy8x0WsHF3LJRwnHi/NmNemSJnu+tEGTDgfwnmUCq3uLq54rs6LxVJ0ujGxXEtCzvAgrF3Hteu2cNfQem5fv5WNAxsZy6TlUD2r4Ky4T6NQi8LEhd+52IUJLIFAibcg8rXFbslZ23uEhuwgzNJ6cWlFTbBqTKmQGJVwYLrNmdYZ/nDfw/zR+DPkD39DGL1xsNp003mdE9O06cUfFIUECIFUAsF22uEDJe8jobSD1nHmFFSrDKRDrBtbz5uH1rP10ku4fssO1g6PccXYWnRg/jFNLzKg2E/IKEUsmFKKMi7koczOQYFBdzW7eQzHUTgprJK8KHmFHg09quR9SIwm0QbfKchSQ6bEDZMoUHNL1234QkNcm7mTe5XFhx+ebxJiOT6X59xOpXXG0dmcwlt2jx/maHOC3z/6JPs6TaYmxykmJkKbfCv0Y4woJCPDrBrawPcNruUNa7ewoT7ClaNrSbVhuFLBFw6PI00MiRbaiJZK5FklaZ6Lp1xogihcQLmc0/AvrrlKxjw3VdTIjRJFzxWAA+3DQcJij4pjad4pypHJip5jBnOo98Z5g8Q9tfyOSoIgc/Jqi+7faS0Imb77aoOganvxPky2wVu0zzCjo9wyuobVQyO8ddvlrFmzhsvWbGLtwDBjlZq4560L3jGDt465okBrhTYLN0XpFSYe8AvEUi4GnLdAOW9EMzLAex9iIdKlViupbC+s5eDxw3z0yW9x77e+yZeah4UoslQC6tWKCIqEYEko0QQ6HSFIo4QIvQufeyGiOE8gL6DTEk21VoOBERge5J23Xcv22hC3rt7IxsZatgyMAFDR3Zka1rvSNSe9gwCkh5B1Fqel7iXsIddZ/tWDRelHBeHksXEBR4ESF+hzMBrvvMwEgTCnWvatxir773IoVFAousyvbK0TgvJaKU7OTvH3zz7Oo4/v5vcPP0HrwLMwVI1fIJgkwf+UCtNrT8LJ45yefITf7eR82GVsu3QrP7XtWrbu2MGdV90Qsgw13jraMQnlQhMMywnvKLMiYwJLHjwFaYwfxGeEbLchcYXoEgv7ey8yBBf2V8L4Xfyt8P1ocXTyoI0aESzAvG4SeSGCJXch28vJs9GpxFJqdRgZpn7dBt48up7XjW5gS2OESwfXMJAOsLoqa6hqFM47nLdCLjooDIVFG009lA8UzmOdFZmoJIGoX3D0d8e+mLBkAiVqWi80i6RtrbiClAEXKoW1omktU50Wj41Pc/+JJ/g/nv4m9ul9Mou8yOXMtQlO8EBszkoBg4fSd1SvSJ53py3aUpYFAsqhcHBwHJWmbKwNsXP9Ft64biu7du3i5g1bWTM6xlCSzWf0QQBapBHDQs9daFpuiJ7nI5Wd5xUc9fzpAecdyiticq2OsZWwT9qXulFa5QupPUgvLaNUGbQvAO8dFsVJe/4TG19yhHtZ3odwo1ohS6eWzH9A1ii8V6HmA47lnkeOP8kv73+E+w8+AYefhNkZacq3bViadsaEi/jcnAcb6Eelkjq6vgLW0Spyds8d5F8/+gw8puBbO3jHtlfwC5e/krX1tWwZSCmfpp/fRqY8NpQXUsaCog1zoQki3b3/ViEnbAGUWNvtjih8SQJKQxFcVZFReAuYLoEruoLDe1nr8ZqVkh2iMtATgyqhVThWeG2HQHrLimU5F9J60WASUSiyCiNZjbWDA9zUGGPzuvVct24Tq1av5vLVG6mYhMGsSmaSMiuxbQus9yRaYZQJlxNcWHhsaYGK4omXFW2UpLM/11O8GC2TiCUTKN8psl6G20Moh6dPs3f/Pj74lc9wdHwcq6bk84FM+tsYI4Q605RXrShdVt4KEXlPOb+8VpPPW3PdgqWREd57w5u4bNVabl1zKVsG17OhXsd7z0AafOulyR0XOkGoCLEsVI2qgFg416MLzSOiUuh4+SB2QzWlKT//+2WnU+ajVzFbCIWzoA1GKax1wT0Huc3JztW6/7sS3TvovOdD9/w5Dzz6be6fPABoWF2F9dJoj1ZbaEchSohSsg8IMzJAq5BNPrhd0kz88jFx49BBPrN/L52vP8jb77iDn7jyFhrVitDThSYclgO9Li9bQDOk9MZ1pKHsb6dUEChQuq3TlHKRlBaKC3ERHzIrXfcfEFagHM8EgZ/VoFohqQygx8Z45dAqdmZ1rh5cxZpKg0sGRhmtjDKUpXjvGEglm7KRhpY4ev4wbUkt90FgFLjwLFPdnYYYm0jGOGgURtZ5jO492tnwcFG6vZZMoDzXZedWZkb03px2CBRXTUKnk3Os3aFiUj53aA9/fORx7t7zDTh+TAp/BhT4WLGuhEAdkqFRzyjdWFoHH60WwWJDFof10GxDvc7bhrZy7XVX8fYrrmX76o2sqobW4eHUIjHMs7R0INAemEj858BiuyhESOSeQD2yPZ5H/J7qe9+Pc1mEVZOUx5Smg/IbjbRKJfqlVRIWshNBHBf3omLqwkO8xnjGtUQUgsJJN1oDoBSznTZGGf6/R+/jP933aZg4LkHVNSOifBQW5toiMLQRV4hWkgWoFJI25qVOwXvQIX6HocxY0rorYCoOBgf5h/wY//Dp3+P/feRr/Ieb7uCf7bqBZtFkdVJFGy1krZS4OqIC4zwuWKiREC40FSB2me44R1NBN8vLh7WKEGmrDZ02P3D56zh47Bh1ByenpzmZaqxzFEVOq7B4ZyX7LcB0DF4pMmNIk4QsSUgzQ2IStFJsTypU0pQ1WY3BxgBb6kM0Gg3WZjWSNOXSteupZBkjjSHqtRrVniQYHyyM7wRSMxSeN5TPp1QAe/7XSlO64ZTEWhftfNDz/YvR7bVkAmUxeLoLxcO81hdpWIBZmvD0qYN84d4v8Z/3f0tGWI5WJIe8aCKt1g2lBeJc8AUo0YBirnhc0Hku/5yHpAo7t/Ojl1zDa1dt4dZ1O6glFYYrhsKdZ+v2Fbzk6C8Ei+tbFNquBemsRWtN7hx/+bnP8J8e+Bth/KkJgXolNJYFWnO2W5tE1KDDgZ2nLJxLkq4V420geC1/58DgAExOQq0C2ShHH32Unz52nIHrT/CO170BnRpsq4PPElFSnAetKObaJLVK1wS9WBGVk2oVtm3nX7/uThKdMpA2mM1naDuLc47CW5y39HZFiM9OoVFKkSiD0RqtpBO1QlFPEhQxeUdTT6JloQGFUTIUK+upBfJ4yXz0nkQvOwt8WWHJ7uZiwjS6heZ97GG8VVB4y5/ue5hfOPIIrUe+JoJkaABWKUnNSzLIGpTmrPOycBPkP61gak5cXi0N7Tmy03Mkg0P88K4bufrKK3jXdbdQSRLW1Brdc7Au1ACkqGSRE3+RsJiGslSIFg49CxVAoc7qdH8xot8loGNQNfxT3uM7loO55fTcODfd9wncQ/fD2AiMn5GgcKohponmBVCEG5dIUNc5sVq8l/iAMSQYlE7JMwu+gMyLMKkpUF6ahhoDx47A2vUinJrTsGkAZk7ww9/+K9LiEA+8+j00kjpb0wTlPXPO4h3UahWmOx0GQ9JItAQW6hrwUsN5KQSdM4gFZ5C1qZH75y1Mt2BkNdetWkdqDJn3+KKCqiTgJbklLlCR2+FNnwVwLngIrWzke6lOgjXSy4sU1ehme4HHPwt951muqXi4+Hnf8Zd73b9UWDKB8lyYH4RWoKDtCh45cYB/+9mPQnMW0gIag6HdSdAYk0TaKSglQkNB2eMKL/7VRgMmp6DlYcdOPnjnzdyybhvXjG6gklRppKosGnQ+MBwQc/IiNClX0IewkB2Any9gFOBbOaqScmj8ML/3yT/DHf4aDI8KDY2tAlXA3Bw4LVq09jKeQBkJzK/egB4b5baRjdxUH2P7wAipUljvmLMFB5ozfHn2DA+cPgBHj4KdpUwIUQrGVkuFeLsFOpGzGhiEmSb5g1/m9yfgB9/4NrY1NhHdIak2wc/+XcB1ktCuJElEEGuN8w4fsyxBBP9iS7H/gz7FqH8/BSS626w9djyIgqQ82ncqQFbwnFg6gVIubHlQ/TEJIIbWANgzfpQPfeUfoDgD64aBTDJqWoW4HYyH5gzlRLMCESq5CW0c2uDnuCZbzS3X3MY7b3gVu1ZtYmNjEIBKIi4EE/2xTorZrJZusFN5jgGGYzfg54mYddNtzbEwYT5vcu1fIC+Q0PsVon5YJyZ/jPlIEZWi8J6WXmRxXkRoWov3nkYsPgNwnnbwFTW14cjECW699yNw4JuwYZ3ESdo5UBE6yypA8HOf7MDACP/39hu4+eYbuXXzZcFlIi6WwdiSPNCVb3agkjDtPYdnTnPPs0/y0Lcf4cNPP0776GHYukrie4MDYDRMhRHHjQEocn7j25/jQ8OWx299H6trw9RDMtlku0UtqZRJX2W9UaCXMk2dlxaJUhDuz4BDUr1CTgIOqRz3Vu65MsGjp1HxgnriJeXF9JLludZHv7yJr+GPs7wj/XiB621RlJbIc+/23Y6lEyjPAzGVVinFZGeOux/8JuwclXiHb0u7E5AJZVkKI6OSlZWmwslbbZieg8EhzJWX88a1l/Jfrnotg+kgq6qVcmiWVppUa/HH9rRxEZeZaEOJEr/sCi5ulI0c43MOhYsy3wLmill+88N/BK19sC64noyR/ZWiLJZrzkB9gKtf/3r+z+038NZLrmQ2b1FPQvNNLVbJWa6YMMNFAZcMruGuXaPcsfU6rju8m68ce5qPP/RF+Y3WnIx7HhmRyZ6tlsRehkcovvwF/qY5yA+87V3UkxodW5DplLmiTdXUuLjhuxabd2KdAJB0FcyFlmFXInS3LbRe+wRO3KN8THRdXStYfiydQIkaW5/G3qt0lAFS55nstGlRwPisuAIMoeKdkOKLLDqqcOo0nGmTbLqE/3j97Vx3/XXcsnEnY/UG3osGrhDCkeFZkDtPx+ZkJkETNCkd6jE81BNTVrK/EMSsqqXyZbv+1RRO6fkqPOf6fF56opOFpZXcj6o717cvfMTi0ohpa0l0Qk3B9Nwcm//xD/CdfdBsweCI0NfsDCTD0HbiKrWOD6y/jne+407efumVAPhWzpqhwZLpWe9J0FgvLVjkAUmH3VqWMAi08pzRFNbWBvjA8Kv48Stu5t0bdvC5f/xH/uDYY+AUDOVAB6qZMNqBKsxN8W92381frc747Gu/F+89g0mKb/VQaB+9XShPLnY91krCSCThXxruXEchrUtEGHtAh1w178XSOmspKfBlLVYpduZlf0WcK0tLwYKKYzxS7On2vOYq9W4Ory/0OfT/7ndbLGXpBMoi6JJDFwqoJRVYvQpMC0KjPYmNaGSgeyECpjkJWy7lh9/0Kt6ybif/ZONOjDLUU0XbFiiEIDNtkIxLF9q3SM0FdP3rgboAz/ys8hVcrJDJm/NToZz3TMzO8sSePfhHviUEMLYaZmZBdySGMlPA3CyQcscb3srPXvdGRqtD+HYhle2pkb8rskQUkcGpoMDIa62SlQHlSpoSZY0UTnpu3Xotl73/Ej72zb+hdc/d4BUMDlFWe8/MSN3L4VN8+Suf48G1l/PKK67F5xZVTb8DlecChEcyMTt5EMYioDuFxRiN9nG6Ze9XPN4r5g0MU13+LkF3X3rMzrJAomsQYScLxUt9fHArWDIsnUAJLof+PHnV9xqLeu5av5W/fsVbeOf9H5MP1oyKa2t2DmbnqDRrbNu8jd9449vYsWMH28dW9xx0MSLo9tNKniugqbrtUV5qvKh5AUHgdh3cFz+7SpQiMQkT7RZGacmKcp6PHN7Hj3z6D2FVXVyqzSlAQ1aVGNz0HDQGefBtH+Cyyy6nXqvOU348oHqqsOU5LUxTveQY/zZa9PCNVc3GyloO3/4jfIp1/POv/xWcnJGR0oPDQCH94jashtMned0XPsFnh1bzps0baRUFjZ4K/WiBi0okToFz1SEtN2JBn0IFcgo0lSu5mQmiMHZSSFNqSYJSYuFX02TRFbhYnVf3Xiuec/2W57XwbgpKb8ZzYhFec66vLYb4veWyTM6ynLoSF6BnDpVs75/zc75YOoHyHPCALQpMkpQax9DgADe/8pXQ2Q1HDsPUSQnKD4zBtd/DL267mddvuIodQw0GsypB7SsFl0dcZ+caebqC73J4aZeplSLRqWj2Cn519/2SWWVDsF4ZwMvfc3PQaPBTr38nO3fspF6TOIldoJ34ecPLb1pX8JbbbueN1Q7/+JXPAp1Q5+JhaEQyyzxw8ji/tf+rvHnz95MZPc/Ej/Eij1hADqSzwgpWcIHgRREoqu81FqOtW7eO2Xf9HN9+8nEeeGYfJsm48vJd7Fq1iQ2NhsjQ3HZ9oFoFzUyk64owWYEOMaJGaDJ4bM7y7ZP7efThr0AV0ZSTMI+j3ZIsJKf4zZvewvuvv4OBardyWvcw5+dLWX0KYIn4to3HWsdoViUxmj+68S38z8OT/OKBe8VI1LlkmU0V0lJIWz7z7S/xxFW3smVkPTLocX5QOVoqi+v3K7hYEOmn31cQ6WmxJ9y/v+87Tvxef51W1zJaHtpZdvWmvMC+yXfOyYAhheK6y67m/W94J99321u4eu02Ep2Uabk4Ly3GrQT1FMG8pvswVvDyRW/AtWMLCmf57D98TrT/JBFhApBoWaWz02Q3vIa7XnN7cP91jYDl6ptUMTKiuNXJqac1fuDt74YrrxJXXJpKb7lKTc41q8DMFHd/8Z6yk4NSqiR2BSGx4nm4a1awghcZyy5QFpKUWqvyXzUxVBNDqj2pdlSMYiDNyiwqVUlQlQRvNM5Lz6A4DnhlQa1AhYFpHSttOz629wF+/cADMFSDaog/eKT3lrVcZdZz743v5NLBIVbFItee4xXWliMCng8K7yl60syiSyqiYqQTrVaKCopR7blidBV/fPWbqM9myOwOIwIvb0NmoZHwLx/7Mn9/aF8pML3ujshWIC2M/PM/zxVcmNBK/pm+f6I4Lw7V96//OPF9iUgvy0w3yy5QInqvzfUs2FZRdF1YypRZOx7Ii+Ksi+9d7Mt3W1Zw0cBoCLE0rTS/ePCRIES8fJbnUtPUkVHOP/HOdzNaGcW3Oujq/KJWj7i9lsWV6mUmTZELTV81toUffdvbJDXee7A50gMM0BpOHOeeE/vLryvCUvDhDw8+5p6uYAUXCJZdoHg4S+Pr7aJZzR3GOgaMoZFo6kls8CapwDEYr7xHK9H4kqCtNb+LJw6u4IVhNvfsnTxJ58CjsKYhwqTIKW2G8Q5rtl7Dz15zK5sTh6+k3WLIAMULd3v1NfQ4W7P0nlhQ63KLqVVpO8+Nq8f4tVffCWMbYWIOEgWNRDpCOA1r6/zOU99gZm6uVLhigrRXon76/lkgK7j44Pz5+e7PYXFYL//aTv451Nm1b0uIZadIRTd47pzHOd+34KLm5UuTw8ZF2PsaTf/4OVCtxGlvK3jZopB25x2b8+zRwzA1CbaQvlzNWWn+2GyC9/yLy2+g0+lQq1dRIWNq2WEdKLCdHG2kO0P0wlXSlOt2Xif1V6mRxpStoCQNDMKzz3BmYpx2p5Btfef8QoXfClaw3Fh2gdKLGDfphaqlqESLthg+Myo6BMO2nkFQ4iNU8wTVCl7GUAqVaFpW8clvfQ1MIq6j1pz0z/Iecss7Vm/jh7bfQGqkF9cLiZM8F1LdV1MQNMZgF+ETmedhMmmSqJC2P8YDzvMru25ka6chPexMmCiaF0AHijn+155vcabw+JaMY9B66c59BS895pyMrS+cp23tgtaG89C2jpYt5oULyg+dp1kUtK3n+FzOwZkWj5w+xQMnj3JqrsOZVk4Fj85ztLWodk7b2rJV1VLiRUkbXsEKlg1B3Z/JZ5mYmhRtv3dsbBi8dummTVRMWm4OA1kXPeyLhTXVEa7ato0D03tlg7MiFL2GxHDs+HFyW8gkSC/V4xfKua/g/OG8RSsjMUBvzorEz+UFxuhQqN0zcjx6brSS2iutKZzlwRP7+PyXvsRDT+9FKcV16zdx3bXX8v4bXktaSXHTLVQtI9G6m0m7hHjJBUrZnXixz8M1x0svK4PjzVB9T2AFLy8owMPBmdPcO3lC3heFuJBcyJxKEl6980qGskoZd9DopfEk99Fh7AIcN/cb0eX7sN+WwVHesv0q/vbrT1DOEUkT6Dgg5d5jz/KemVNsa2wGQJorKjrOodDLVnG9ghcH1TAQTDGflcVGurW0y6KdhyK4UEXAKPZPtZnqTPOXzzzC/3jiW5w8+LgUiA9KOODzh56FmScY15Z3XfFaNtdSGermfBmbW0q85AJlBSs4L4SMronOHDMTU7A2FStFmy5Xr1TZtXUbsW0JlHJoaYTKecA6x44d2+F+5JyNEgtF55BlHD51mum8VV6nCq/WueduL7SCiwI94eHw3uOsQ2uN0grrpajVexEAWksPuaIoaHc6/OVT9/G1b36Lv9j/CDgHGwak/gqxzBkagcMH+dTf/R03bt7JpQNbwHucd6R66a3cl1yg2H5Nrk/jWzRMsmKZrCBCwbOzU8z6NtSGREPzIcvLG6jU2Dm8hkz7kr68ArcMTDkPJnXZI6nfggn7ReqtGMeu0XXCBHz4xDkwDlLDcdXhxNwsNqiwccaP1aY/SW0FFyE0Qhq9nhivwReFkEElAeuYCV20903PsXfiGf7bgYe5f/8eOPKkJJ5srAqzDOMbKDTkVqzdjRu4+/Bh3nDsADuH12K0YVU1WxZl6iUXKCtYwXnBeVBwst0EPOig3eODNuKhXqeWVClcUZol8slyLKkXCs9ItQHVunQ/dkiVv3JiseBp2jy4y8P5riSjfNdA6W6zT08YUawMZAask/hIlpDnHR599il+/dtf5d5vP8yR9rhIonXDQRoVIkB0KkJEORluZm1I9MiD8q4wSi+bhf6SC5TSB/wCYyKdfk1wBS9LWAWg2N+agUzTtQG8mPztNiQ1GkaBTiiCGPEezq6T/w7QZ3mcRY999Nz/a4UPVnqjKjPnSSQwrxFt01km8/a8uTZeKUxMqV+h/4saKjS81QqwnkKJ4nBoZpZmMceDp4/y5VPP8qG934QDT4NvySyd1QNQrcCJKSGgxEClKkQ93QYT3L4mgekpNgyt4ebVG1hXyYRmvEc5f1Yt1vniJRcoK1jB+UCCl55jNg8bXFBOwoLKLSpNiBkx+G4wUr+4WfMLwnsvkyCzUFOVJiJllBfB0unQtrYUJvNkiF8OHXMFLyakn6H0KUQpEq2YnJ3lvqcf4dFHH+OXn34IpmegmkOlAgOjQgTWStdsnUhRLF6UJ6NF4Gik+8LsNCQpr7/mFVwysIFOu0MWx54vsTCBC0mgLGaZ9GcihP2e98TERb4ftyrCIsXPOwdPZFYK68EjPcSy4IbQoUhzDofMHDd4FEl4RipG2xarGQg/VYTdFMwLGi+Uj74Q5oLPtBaIY7awQLdGJ1Ga2PY8DiMDDz6nMttBggkeXAjiaSOM7CJpi547Re5yBrSR1NqZMLNdVWTuR0oE3QAAIABJREFUiQGUkml/hUNlBhwk4X7F+RDlc1v4Z+h/GuV+4fnG7g/9x4uPcV66Z8+GRpphVAGTEzDQkDHXXsl5ew+ZJvfdegFtLWhNB2jZnCHz0hb36lDLYL2nrYEinHvoySnz5f3ZN9YHh+PzXcfLhNlc1kslFJ32z5dxzuOV8ILYlBMIJq7nTN4h0YbMGLRSpOG5KhuFBN0U3yA0uqYmHOnIuIWDM+PsGT/Czz/7MCf3PAYTR2UdNupQS4WeQbL/vJO1apF9rJN9qlXwFlozMOchTUmPO9731jfwC7e8hc0DDUwC7cJSSZaH9S/PUS8yCA2oeUxcKpoVhfN45qfYqUAUWku/MR2YtrQ/l4yMs5ZJr4CIhAV4b3FekfYHh50Ux/W2qSm/24MkZmqo+e/jaNTCSZpp4Qo8UA2Eb7RhdGgIJp4vC70wEW/PprQq0rlSkf5d3otQ1Bqf5+XOWilU5BoXiIbftrmkOrdb4qJIDMItAKWpm56eY0qBVhjf8+xXcF54LpmmdXcGzdkfKlKdoJUu59KouG8peMK+8X0kWCfd1r95/Eke2/04H939IAeOHKJVBSopDDXkaE7cnuSd8OyNxETwUFhQHpJUmFG7JYkoWQYbVsHYan73vW9kY2OY9Y1RCm/xzpClQdpHIbeEeMkFiu17UvHySj66yAX3axKLapDnuGGdoGGlWuMRZQpFmS0hmuwCx9AKUIyYWnebD0JAKQonFTYx1tN2wiDahby3yFE7Fpy3NIsObdtmvN2kZXOm8jbOO56dncJ6x2TRYdYWTBZtZmzOcVfQ9o4BJUylGq6zGbTZeiDwutKMJRVGkpRUG1ZlNbyHPbOTfLh9qCvcylXz/7f35tFyHedh56+q7r29vB0P+w4QIAiCpChxlSVKsixKluSR5HE0lsczOhPbE4+s0WQm8WTiE3uSM3FyxmNnfByPnYxzHEee+NiObVmLJcUUJdmiFpIiRYqgQIk7CRA78B7e1su9t2r++Kpu92vgCRDZIBbW75yHRvftvmtVfWt9dWUIkkCqFaXT3Dy+GtPKKbNRKb1ifWdppLA0x8mizWhap+9p4ZQivcD+FPSBanwIG/x9D+pAWLR3pYC/Cxqsf9+1jqMLMzJwFBZGHCgL7RKUolHWuGFyupe9E1ZGVdC4SFrmD0Kpg6Vn6ShHtaa89n8uDKSAAYtDO/Wy5fhg61zBAdF7z/dnpF9h6xtgw25zK0ts6L7PreutTzNqHWgrywwrBeXyJ3+myEmNYbbrcA4eOvEM+2cO8atHn6bz0kE49rw8e61hY00UCjmwWCKuFIHRDCYfgG8rroC6gW4bTpSQJGxPV3Pr5mv5+X13cPM1e1hdb/jz8gH+Ph2kKAqStH+/r5xL3yIvMYnSWOdCslCfJHPSwILpOmApOMBZh+5v0X2B0yBUclvinKNV5CzkbY635pmZO8Px2dMsLS3xveNHKboFJ9oLnFla5HudRRZaLWZcLn5S2/X7Rjqn6rk/gJ6PJUjmIGnD+9Rrt9Z6H2sKxsDGVXD8GEzVEU3eUnWjK0imiPxXbGyOo5SWTtjvU0gzODPD8RMnGd24mbK0UlOr71uXEoPi4MFD0tayFFC+qKUC5xgZG2G6PrZ8pHROPElD1i5fk6xwD0O3Lmzp77MJIbhlqCzpCSJFb39KvpyZhIMnj/GF577DE9/9Hv9u9hDd2VmgLVbpZEP6o5FBn25XlCHjXVh5t++ElAgYa6Xhm0QyA5MUtmxgwzU38Gs7X8+1k1vYPT7Wy2oMyzSkZtk4llwEhWT4e/wBOd+a2IMhiOp5DXzvB+1avYG/v2P29mLBF9EHnKMoRVPJbYlCVeO1RVNax1y3S7fscGhxhmOteR44fYTn2wt89sxhynYbls7A3By0l2T2dmiESSqDYKjjo5SkDBojWosbeET9KgaA9dtXCnmUOSSJ7C9PRXgUOZg2rBuTulFa9zTgwR5zmWOco6E1W0Ym2d0c54lQXDHcpkTD4gLfOvYCU6vXs65Ro7Suqlh9oe1mpWSqIM8rxWLAAllJYw53+Uxu+crz34NiCZqj/rwdYKDT4e0j06xtjPbahpMF58pEX1YCpWY0o9aPuA7pQI5ee+pzwQJok4Sr/IEYvOKVWusF35mzdih71H7HwdKvjqQUDlW5wFulTBKcz6WA5+HFBY61TvO3x1/k6dYZPvnkg9BakrhGpy3HG/GWiKmLezYvJTaiDdQyedUlFG1oJmJx505+01USG+xYMIafnrqe295wC+++8RY2jUwzkmpxpxWljJ3ekxI8JakSl7wOFvwF36gL45ILlEuOdeccLbTRy7KAtAOHo7CWTlkwn7dpFzmPPfskJ06cZP/hg7x09Ahf687R7uYsmUIaS90/tETJAzQKkqz3ILX3BaR9wdW+ICz9fvLqc9d7CR02bAqnHN5nwV9qRVNJtAix0or2Y9KeZlX5dUI3HXJruxg4eX4j6Qh7t23nieOPimbXjy353lNP88Zrb8I0a4ScqT4PxyWjU3R55oUXRTPNChH+4b53OmzfvRmQpAIJ0Uk7Sq6QpIkrkv5+5fuFtRaFwhpRLK2zlNaxmHc42Z7nwLHDvPD8c3zx+Is89dIhnlk8DguLsGlaxpesJu1SId6DPJcCprWGfGYdvTp0hQw41kLL16UrEQ9Dx8KatdSu2cffm9rKx/bcQT1pMJlpWmWHusowiUFlCaYoJQbsLLm1SNKACHJXWIklDjkOd8kFykDSy1mspOFVPwwf+C8OWjRn7fcsmxUoLYWSIHy3tDistzhKCmeY7czx+MxRnl+Y4Q9PH+bZM0dwR1+E0yclgGpLaYRJAmOZvLpUrIfSB1edEuFhHeCoMj9cKSepdKVNgO5pelp7+WGppIXrc0+l4Qb66wmCJNy4YKc76C3lpv3xUv89/13nzr4/lztKgYOpWp03bb+WTxz9llybtfIcSgs65ddefJzdR9/ANRM347wkcdCzzEJDuUAJE+7SSmt0n9Wu+weovm9/8oX9fHLhCIw0QFsZMAqJn5DWuH33XsbTrJec4ZD/X9hpXnSChyHVinp/QDQoauKb8xNuZI0jpehZdBd4v1dCn2WjXNj+wq+qFTEJj0iyuiwOh6KVd9BKM+/X+ntu/hQvLZzk66deYn9rji8/9SgsLMDSnAiDWirzQ0ZGYE2zt+NuIf229PdFJbL8c6j4a73Cp7V4E1AyNtgMFuepLxpu3HUd/+O+23n93hu4ZnINAM3gtiotY0ldjhXc9EbjnEUpTWo0RqleM6xdnKH/4uz1CqQ/ZfDE4hmeOHKII0eOcM+Bb3P6zCz3LJ6ExUUYU6JtjKSyZkXV0V2v8RRFr8WGB+78n3Yy6Cvkn8RQSYMgbML+QMxh6B1Ha1Cm129WHP/9hk5HXms1sYwKK6sXJsEyWen3VxDOoZVm06aNBA2+l1ppwSQUzz3PswszdMsSpRTWiel/qfn40afg9ClYs0bWli9LUVCyDJoT7Ni4icz0BU79OTsHuS2pmeFqmBFB7BDHi6eOcezIMb7x0jO8eOglPrN4nNn5eTrdRelHk3UwWmJ19TrelUEVlC26YgUkBlnuuVzeZ/OuTEhMMxEoRVes1aIQd/TUekZe9zZ+b+ct7JrYyM7xyd45OtcTjPJB2FCNL5IiYFF9zkXnRGAum6YwJC65QFnRghjQ5KpnYHs3zVlHaRRG68pqLLxbKPPZJ92iJEuMWJm2ZDEvqJmUTmkprGUudxxZPMr9Jw7ytdkjfPrYc3D0CLRnxec50oSGgoaBteM9oZH7mEc97Z1vFTBziEXiR2xbitZZBdO8hWC0XJnru1DtEAHjr9Mo/53QUMveb4AqK2QltJZzCya1Nj03l/N/uJ6mpDUg1+BcueJuLxe6yCWsa6S8fdte2LAdXjoEGXIbrQKdwLYJ/o8DX+Ynd9zA2uYkqxNfdM9bisrfx8LKmvKpT68+H/1jA/Q9Rv+fIsRruqVf90eBc5zqdDjdXmD/Y1+DtU3olNApYGICzszAfAezZTf7Vm2SHQ0EGxWQXQbCJPjmc+toV4uiAyivsFioNWF2DnC0y5LSljSUJs3S8w5o4f5WY2XfHXeubwDzlnjYGlZH7pZFpUAooHAyBaCwJdZZDi91memc5tm50xxcmuX+hRn+ZmmG7qkjMDsjEwNxSBoXcn0TiHVPCmld+lVpweZiiQVNTSlQiVglwV2d+memAEpQNREe8x2wJcmcJZ1cxT/ZfiP79t3AB95wp3x/sKFVQsO/9dl/RaWsym+qeTF9P72Qdv1yueQC5QdG4QdIUEZVE/ic/zjr8y1b6xckco6uL65WN4q57hKPnzjEC88/x6efepwTMzPcP39cVvYb1V47zERrSJTXHEKjgco9FY5ly15QHdVnRSifseN/k8h5950guIJKq1aIiwDr9993DJDO6VSvcYIE7KDX4MKm8L6W+nPzG0LsJPMBeudY2e0w2IovP6zP6uqUJSO1Glu3Xc+Lzz0Lq6Zk9UNVk3tSlHDoIF95+H4+eNe7xYdcS8R9tOwyNZIMM5xOF4L/5DkkNUnVTBKUUvzlX31KtFDrZHsq7g2aozAzw3+3+brz7f7yJ0nBFpVEaJc5DZOSpRc29ISnoMJjcr3nohR9ksb5F9G8S68MLeYdurZgpr3A3Jl5jpw+yamTpzg1c4qldod7l05wcmmRZxZnpf+nvg+nXjEcaVA1kP6TCd2yKHvbtXdVKXoDUuH7J8iHpf9+cFsuLMj3RiYxu/fwq9tex+2rt/P6NRspre31zcvAmr4QLuypXkwGb5Q76z/QZ5qVgLU+2AQYp0i1wQGdsugr660xWnGmI5rIE7NHeXL2GP/0pQMcffZpmYm6sABrJ8B0YaSE8Uw0Dq3FAsm70PGNBAUYUE5OTfvBveVEMCjkd2F1SVvI51mt1yisFV9qUchvlYJSidZjtQiXjh9gSif7899TaLRJqKNRScq48jN7s6y6L9DLmsm8/DhVOlrdLnlZ4KyV/mgz3EgCJ07BlgmW43q3/goI/Cq0KBIAxvDbu27h577wFU7ML0jA05bQacG6KTg9w0ce+mvyjRv42L5bsa2cdiqrUSQYCluilEOjyZQoImawQ69gOYf355p5r5zDZSnOOjpAq5vzuwfu51ce/1tYZcTK7JTQrIEqIW/zjuZmPnrtLZWGOTicDJzOJafqxtb/hUGzLAEFY3VwXf7tEw8yltaZyiRxYm29CYBS4mUwyhcvVPJccltgnaN0jtxaCleKFekku2r/7ElatmSu7HCw2+Kh7iKLnRZFZxGXFzB/RoR1pyVB8LwrJxsUtjSRm1tH3NjGZ0Q6uQS6PoW7CorhpZtXGJ2fROusfEcj/SYx3tr3D6jrwJWwaL1nIoM05Ze33cbevddx++7rWdMcZyTNUCr0454FWg42Q98ujP8gxIIudH2c88WuXy6XXqCcj4EeI5OMZGEhpag8Qc6JIKl718Vsp81ca5H7DjzKk888wx889zinjx2jNYL4LMdSmJiUBpYkkmWllJis3Y6fWORblVY991V4YOG106EqwmYMGCdPSyn5UqdNFQS3tqexmES0N5NBswlj4yRjY9RrTW7ORtlbH2XcpGyoj5Jqw2iSUjcpo2lGzSSMJBlaGdxZQ40QRHCnLOnanFaR0ypzFvMOrbLg6cUz/OuHvwKtoyxLRXbVPyy/85cnSiFL4iYaSsvW0fW857bb+Pj9fwnX7IK5RbmcLINGA148zb/cfx8/v2Uv2WgTVxZo7x41WvvxwgsNxyu+CTYv0X11WBJjePrkS/zTB74ows7UZfAp/XyDNIHZGd7z9g+yprFq5R1fSYQm+uLz/MpzfwqLCzAyCkXBVFe8DE6LIEm0gUSTKU2pFfOdNtpBbi3O+lTYUqSWc9Ay/r4pf5zgmgqvDT8PKwiCekP6u9Hym1ZL/m+MH+gV1SRTZyVwHg4QrAv8vrSScUJr6cdK+fMIggURZtZCjrS/bevYvG0XH1u7k51ja3jbxmsAR6ospXMiTMKYV9o+V6e8umXv+j+5PLjkAiWscFfdoMEOPDBDuPQCpFMUOEoUGqM1s92SbtHloZMH+fbpw/zLQ/uxTz4DufhuaSSw2we0ikI+M4BNoUDeW++20lpcXkki80aM7qmczsdDwnMca0iDaRWwtAiLuRcgdajX2WsmmB4Z5abx1UyvmmTnxGqmV0+zcdUaRkZGWdMUgZHqBHBVyZRq8Ztw/dBrsH1CdnA+Y4XXXMpC5s3otG9/RvPsmVnUQ4/zW/YwZ1kiDvyBuPxxVY27ErhuaoxfuvVH+PjTj8KxBZhIoD4CJ2flOW0Z5+gzj/DRL/8FH3vzB9g9MSZKiXKUtiRNErlq55ZP7VHLO3TQFEO2kvXbQzMJPvwkNRTWMlN2mKg1+cLB5/mf/+Y/Yc+8CJvGRPmwVjKDWi040YEd1/LhG3+IVSPZWQZ8NbxcJo8mCf1XIeG/AulX4fy0kv4w2qSauJdqGAdyy0wVpnPnHhtTd/ZFB2VNAWW99/8wyCvVa9O2Pw7oD2AL33GsWCUgD8yW8rnCWxgpdJZ6yqKGSoOV9DV/HA1WyX5bfkLykgOleMP4eq7dvJX3XbOPa/fs5rqpjTSSpJfLA1jnfNjJf2idj/VYEueVHb8pvAZLuKcK9gm6C2DYlkngkguU8+LNkMKn3+bOVW0GJ2stHz9zmvsOPsV3vnOA3zj8XYrjxyEtRdubbMoDDlaGg6oAYllSpZb6ontVVlaeSwfPEqp0v5CBA16jSeDUKRiblCyd6dWMjqzivc1pbp9cy5raCNdNriXVNabrDYzWvoijI9W+aKNfUzrRGklUBOeD4qKuDAz2A4SJYkGrKf2r8TatMYb+UamwlsRommmdvPBuOd0ntIL5rrgi5IlzVHXQjNF0ioJrt+/gh+98K1/+7F/A1GTfF1PJpKrX+dMvf5GJyQn+8e1300hqZMpUQkG+f46DvQwUkGjNWNbgdGuBf/atv+aZhx+GrWMyGFk/X6kxSkgh/8jr3szUxPj5dn1l4Hy/UX7Qx4nwDCzLgvSDvPhl5bP+0iChbTrXN7D3PzPnfTmKqqKEUtLGXUmVRamUV/oS/13VC5YHDS08/0qYeDdY6QWGBHHlujpteYYmhclV6B07+ZnpHVw7Ms0Pb9xJTdfYPDqKVpp6osltSUhH6CLzW0x1f+SUjNYopy5UPlw2XHKBct775YVAsP6K0tEpc060FmgVXe588FMUJ4/CsZeg1RYTd10NKf/t/MDoTdjSNyRczyTthEKCfccDcAaMlTQiW8CCuKo2lg22rFnDXeMbmJ6c4q67b2JsbJTp8SnG602aPtgYisUV3RytNdpoUKrSSEQQOGoheF+Z6gqQmJCCytcZWviyaqdQuWd6zlW17DUvLanpZetb///5XHEocxIDAunEqjqY5/sLs8uBzPStDe8cDadQzvG/776Vqe3P8In2s5IYkXpXx9wZWL+R+dXz/KtvfYZtuebGvXu5afUWajrtef9WUOGqPj+wuXeHZUPwZS8VJWc6Szx44gj/6jtf5eGHvwSbxqUxl7koKKkRX72p8Qv7buV/2H0rtrAkqTnrOEEzTUOSxUUoQf6D4PU9cutYNIBxojaHoHOJnGOBvA8uolYBOvFB7X78oF+97dvuqn+onoQB+jNdqoYeXp0XCD7BxiGDSZ5DWfRZNH5sUP47zscys0zeL+WSQLHoizSqDLKU9zfWsGnzRm7edg3XXLOTnRNrGM/qjGc1tNLLnp/IO4tW3ikC1LWMF53SYQtL4RXWhk/c6G/bQNXwQvsKlcPO3VpXZuAuDo1LLlDOi3WglS8CWPLC3Akee/wx7n30Ib7z5JMUm7Tc7CyFyUkZFLsdufGNuswdSZLeehNlIXczScSsLXLp0Apvqi5JR1datJPGCKxfx21rdvLO8fW8cc1mpuujbB+bJtWGmsHHdMTCGCTJ+jQs5DBGKZT28Y/QI6HqME4pyfDAYaqZrDJvYvAIlb/Vv1TjoP9chYlUQGkdpXVoHLnNaXfbVNre0JvWq4Ozjm5RUMtSunlBliSUrQ5bxzby/rvv5hOf/B15lp0WFEbiZkuL0lbabX7v4/+Bv/NfvI+173gX65uTpCZDo6RjKM6WHC+DM0vzfOQL/4kj3/kObF/t42qZH2FyGBmDmQVoNPjAW97OaDoiPwxW6pWM89ZJsOxL7zK2uczbyNLl7T9YIf0T/pzyuk3f4A/yWlWO9scK7TlYIyaVbSHb0uE9Eamf+5FX/U7Ow//WWhkrOj4jMm3AqmnM5Br2rdnE+ybWs7U5wZvX76Buaoz58aXma7ZItXIqrHO+OUmyQbjkUB6/dCVGGbTSlM5icSRXYJ8cnkAZiHUEgoatihLl/clda3szPMPPHTjn6Pi8cYXBUXK8lbOUt/j0iwf41cMHWHzqUckPr6ewKwHVEL+sMT3TVvkAW1GKqYqW8wvZWMabul3vM+22YS4Hrdhdm+Km7Tv4sc172LhxE2/bcwNK+fLySlXXE9YOry0LXlx4A5Axvq9j9L+Fc651rvpbqP9/z4cq74PvPmgwiV9cSvapJOhpnczLqafQke0YI/dRKdHKdE8zLH2H015jsk7mEygufcVbrRU1L7Qz/2qadbY52DZ2C//59nfzx1+/D5iVxIv5JQl0qCbkjsffMMXjz32Rf/bvH+Fnf+gd/ON9d5HohPXNGgaFKxxpYqr73S5k/Qrr70ldG0KJ825Z0ipyaqbG8VbOQr7Ae771OV7c/xB0z8DOVSLYNHLPW0uQNeDUKW6yq/mFH/0p7t60S7atYCGlwYo8R/sYBn7vK7bksD20/xR5BkY5RpSRwTdLYMHKNdRTGZgTI+4rXYLLJTW66yfdBvcWrvca0Mq/96/9/aZye4XvesUw/AQkazLRoFKqmnlFDmi5h6cXqSYdKk3qDMnoGO8YW83E+Dh3bd3F9OpVXL9mM2unppmuN5Yf+wKDEWet3zTwNoyHMlG116t73z/3cS7s6Gfzcn93Pi76aFCtk6wVOEn/q/VNxrN91V9zV0qASsn6Ha2iy6ce+yqPPPYYH3/pgDSE1XUpa5AiGsbMohcaXqDkXREmzmsmWU0+s1YEiVK9zAutZZDZvp13btzDD09s4M41m5msTbB9fNSnL1JlAV2xBCtosAOCvy8GUIifW/U6Xf98F0Tgh3Viwhowlzv/8IZ3c/D4cb76wiOiVIw05DpbLakeoCyMjcPBU/z+vZ+iduBZ7rzzdt5/7esZSWvoxFWCPKSqypi1PLBaWktmDNZpDs2d5M8PPMiDjzzKi/PPi2LT0DKAZjW5v50ONEdkwt/ICH/nrvdwx9pd1XlLrSV98Xr+kAj92jof57S218asFQ0/FDrNc8DK/KCwMFgVr9PL3U/410ro9GMhuGOD5dNvmbjwHm9p6J5mq7WMG7U6ZBnpnptojIzy4yOr2FofZ9fYFFNZkx3jqxlLR9GqS6ZTJmsZ1kkbcM5JMsIFCpPXEq9YoFTPaQVfbjDvnI9d1FDSgLxFo5XCFiUtZ8lMypF2m+fnD/H3v3c/+x99EIpZEQijCupNcFoGu7aSg+vEayZ+IKwlIjiMk5iKSwAHbQe2S7OVsGn1Wn5yy26u2b6ND954B2makmUZIV6zzF8ZGqlvPKEN1fyM58uNFdt4OFWv/RqlyMIMXpMiqwQq0eZsCc7inJX+6RxJuFYjVkr9Evvuz4fxF3zL6lHuee/P8O57/pC//dpXYVtDhEih5V50lQw60yl0W/zuC/fxu0cfoLZpD3u27uRf7LqVyazJ5tHVZCaV0IezaDpYV4JKMErz3JljPHr6EH//hcfovvAcdE6JxedK0djTpgykC7MwPg5jI7CwwMalUX76re/m5296EzWd4EqL0gqVGpa6XdJE0l6r+QWVcPPXOeQx7Xy7C9vT/oZmHYV1LIUsSetEyS79tSslsYduB0bXwsIpaJXijg7x+f722X8ghxc0XtnRfcJGa1jqiss6keKLG2pNJup1tpsaidHsnlxLvZaxoTnGxMQ46ydWsWpyijXNMZpJjfE0xWi9zCPgnF9vHaB/cTN/Og6wqCsgwvjq84oFyoUSMpiqDtHNMd5FoRODKWH/09/j333rb3lo/3726zPywyk/f0Ai8jIxUGnv4nJiRne7ImTCamZayUCplQQ7m03YuJra5u382uZ93LBqI3snN+CAkVpSnVNfBFwIAmZQE+8XOFcSznkhCSD1r+Q+GRHwzndWh1h5/voGEwGuKJyj3qzzz+/8cX5tdITPPvgZaQ+1Zs9SyHOoaT/Qa+i06Tz1NI89+RT//V/dy4bVa7hl9QbWrFrF1Mgo9VqdGlJ47+DJ4xw/cYK/OXmIY7OzdMecuH3GjLTRkYbct7k5OZ81a2VgnTkNk1P83Te9lw/tfQsNU5M+0jdQ19OsEhyXO1obpOimKI5VO9Ia0KAcbNnK/3nrewBF0yTMdJc42FlCYoOO0llyb+2UDkochbMkSlHXmppOqClNphMyrTEodo2uItGaZpKS6YSpWpN60mQ8q5OoBE2OVppmkmC0pmZk6QmNxTm3bClcByi3fJyyZYlGVa5866R6b+lAlv6OYqWfVyxQQvsfbPhBcwrbO6XFKF8QvrScpqRuE54+s8CXDz/GLz71AO7556CYgzHELE0SIJPO2O3KpKR6nd4EQQXNQqZJF5kMjLNSXG2sW2N6YpL/Zd8dXLvnOm6/5jomao0qi6L0g2OueuXTUJJWqwClNNr6mdJOric0OIBe0O/yalCDIk7KnquecPTUjWaSpCcwnZNOr63sJUtxPiNFdhyEjd+JHzMuO6F61rwlcbPesW41f772Q/yj+ii//5lPszQdlkv1ygmZaNFFLlbvuiakhqNlwVE1xyPzM3A6h7bPz7FOBNJkXe7BmJZKC8HlUzhpv0ttsQDHGjK4zrVhdoY76xv5iVueEAkSAAAWj0lEQVTfyz+45e3oxCw777KQemJn+d0vI8KZLeYSU8otHNWlrCCoHVjfL3Kv2C10qW8Y4X/adyc1I+7CkIEIVI6BkHYyqLOFfCelzm7jy3Cu8nYBaN2XorwMiVMsFUWlZ4HELsOKjLKUt6zW6J3C8kyUeeUD51XKRb8voXaRdRIUDi2lntQ43Z7nl7/4R3zr2WdxC4elw63yHa9ENMeO75AjA1laDii6omkuLcLiksy+3byFNdt28hvbXsdta/eysZnicDSMplMWGCWlWpSTAnEKiQlIRoVC6Z4mEuI50GvwVWM+b8u+PAjjPtDrNVZy30eaTThF7xtKyUCpAG2weafqXOfEuuH7XIaMPFWxjxNl+Lnrf4TtE6v4h9/4tMwhatQls88pEQCpz74qOuJ7T5W0ReekXdbrkiGEEuGRlvJ5yMYrrG/jSj5Lst7oODsjrto33MZHX/8jvHH9XnEV+3LjrrRYV2ISQ6cosEphBhdUu8xw3vmT25JWp7O8XyhFNQfFiYAtrMW6gqYxpEZXil3/HuHs+RfOl+iWPtjbeJaLV6mzuqb0Xec3934d+jSAQmKCxm/XStpM2NfgYcJZX96t/9XnlQuU8KD8ra0agv/cFA6U9RP5wClZ7Wz/yRn+4Jmv87lnvy4xj7UT0vBabenMSc0HTQtxaykfzLPI54WC3FJ79BQTGzbwgR17uPmmG3nH1r2sH5lkzGeUJdo3ZutkkPTHt85SM4nUt3KWMLM2lYuh8tX2oehTZS7TljTYEc8VUymcYyxL2VBr+gHQb3DIIBkGgplZ2t2cLE0onQzLdR84darnKr8cCJdgvUIQzksrhVaG0lmMUuydanLDqrfw5nU7+JN7PstvPnGfPMvppriitJVgeSeRgHJuvKBJ5XsOaYPtrp+Q6NegsH5OQ8gIWyyh1ZEaUUmKObiEbkzyWz90N3ff9cPsnFglA1peyNKsSlGWjiRJKJ07KwtykEsux717eNQLUuVaTJyck3thjLgsnJKkFwWMZJRT435hMEeO9LWzrbCVLqzvc+eqChvWuUppcvS5Z/u/65B5Qv3bSmn3GUjJnT5Pg1HIMw5KhHN9ksePc0TOxSsXKOdBZcsPER7HydZp/uDee8TyUEpcDda7W0bHAC3+bWVhoS2Bt6wmnX52FsamYNcufuXH7uL6yfXsm9pEohOmawkSTPaBttL2GoZ3+zhktTWQ9STO2TgG06Cdo2q5VxIDHcw5h/WDQbPhy8ZUGrUC5y3AooCFefIil7RYpeU7fftTV8DNCEqFQkkwXWkKZ9kwsob/9Sd+lpEnruNfPPMg7ukD4lYdH5Vnn3dlRncJKC2WcVHINpP0/sqi17asFyxyYNm22IYk4a13vpkP3/hGfnTLbmpJjcLJ8gnNRGKB3SInq2W+6KnFKCMzqoe8ot7QUQqspV12mV9ahJqFxA/vDhEu7RYUjnraoJYkKCVNrlUUy9LOlXNntddz0mdl9P+//5fLtgdp079vrVDWyf3t17qC4AgKZbDYz3VeF3q+ryFeuUDxN/SsSELPVAElmVxJ0Gas5VR7kXJuVtL3XAkocSWkRoLvZUcGu2ZTHupcBxLHlnSa2/bu5qPX38FNu65jdcgLX4mBGIeEE0wvn38lBmMjSl0RwuS8p6iUWBz5Erdduxf2fxqUg7wjLsOwtnVdw+wMXzz8FDev3cHOiQmsF7I2LymMJi9LRi6wDPnFIqzHkQ2YYuHphuwd0VxlJDNKsWVUqt3+8ze8lV/e90Y+/+J3ue+rX+X/PvhtKSG/KpWEjlSLUqO0BNu117xNKe2ym4jrFSWD50JbrOwkg4lJfn3vj7Lv+ht4w6adjKYNmmlvZn/qkHIvSpFkWc8t7O2r7ytMBjTmi4Wj59lcpk85B77qQo7iC4ef5j+3Tsp9qSkocz9psZS+1G7z34yvx1op/aM4hxX2Mq5l0GO24i4GNyh1bjNv8HvnMvEDL+N8r3Yu/mhQCRxvmlqLNkYmCmojkkj503BWNDutpXMqBadOQFaHzVtYt3Mfv7Hz9eyZ3MruiVFaxbly1CPnIgwGYfnbRBumJibEJVEW0jO7HaraSlqDLbn//ge48yeuJ89L0lSCx1orCltivl9nu0IoipJaLeONW67nxp/Yxo1H38xjZ47ym4cPwAtPQbclX6wGLif3KnHiFukUVKtijo7B5q1kW7byC9M7uHFiHXet28Ro2mQ0rVG6EuckZnclEfI5CluSEix9B9aR4zBK88XjL4pV12hKv7XeqWVLybxsaq5pTmKMBL2Vg2Uu5MhVwSsWKFVtobNMFCEU70QprHXobonKFDdPr+ejm2/gd4qnvPbvG1a3FNfCvIPE8DMbbueWm2/mg9ffzurxcRRQ5CWFskzW6pUvN2gSod+75R+fzctsyIN2zcvby6tHECQhuC7JaY7xrMbWqbUwvQaOH4d6yLfX4n40Ejv49RNPcu2LB/i53TfhOoWsRe0cTfWKm85QyAae+/liC5ag4HiMoWMt0zXDmvok10xMYt1N/JPOW+gWOQ+98CQLCws8P3uK06dOc7q1SJkXKGNIjSEZG2FqcpI7pjexdctmNo+uIjMJiZ/bECoXyHkm+GFU0lP12cHnQcJ1hf30sieH0/LC/lfsJv41dDOrZP5FVyvAMdcteWnhGF969hGpIKwT+XKtDsqJseUK9jZWc/uazb5fqqEJk6tAp7mquOijQrcsyEyCMT5PHXBFybrmFO965zv4nU8+7n3QWgTJYhvGxpm+5SZ+auNuPnLtbYykTVaPNSqXZZIanC1pFwUj51sC9zVO6G/OOpzGa8eSKj1eq5Nt2kX30CEYl4WO6JYSbM401DI4c4b/ePR7/Nzum2Q/uZTQuVpQSmHQ1bIB4bPRtI7OGty1+/U4B0uFrTL/wne0gjOdJYwyrB9pYJSibnr3xiHF/iT9OiHVpgq1XGlWCjiMkmKVhZXiprLir+b+bz0snoRGQ/qwteLuarfEu3Bmlhv23cl4NoF1fomGQc0sclWgXBjlXybnm7G7mBfUff3/0lqSSpXUuLzknqPPct837+dzj3yTLE15176bufWWW3nb+p2M1mson1IZqnPmVlyymVbeDJfP+1fIOxdBwwr9uBpoWf7+aqWwJaFcinU9ze7fHniQX/j9f41bXxPXRO6L5WktN2txEdau5973foQ9U1tY3zB085JmbfkM4kvOQDPO/VKxg/Ohzmqvg8kW1mstQfnJS1AKZRQoVa3dXQkW/68q/CxxparJic46Eb7W9c4vxOZKWy1D/P242O3zgvbvnBQNVoqlopB12lGkJuXPnnmMv/f5P6WrT0ubmfexz3omLtS0DvNzfPEnf4nbd99AXTmSxMi1S0Dz+x35FROuL9z+8D6MB4OelcHB8OKe3dXHRVfv60mvZmZpLUmSVE9XGc2N09vZc/cmPvS296IwjPuqnVma0C0lC4s+zdC6kqJwOGN8wDU+8guhv/ZWfx/eO7WZzdt3cPDUk8AIqETKZZSlxFayDGZP84l7/5qPvf+n0M1JapmuBs8rHVe6SlgAlaRxuYXS9qwxFUSHEAplFtah1PLZ1cvuTf8CaYPY77PtcqJfAwFqJsWhyMuc3z5wP91nn4V960T50AqMLwhZq8PcAmzZxp6tOwCqunhKcdGFSeTV5xULlGWaHizvVLAsz9woRaeUZS4za3F5ycZGAioFvMsldEAtnVyKsYnPWytNlvgOX1gUvdX6eqrWuRvpSm13pSYdNJjAWb8fvN7LmH5dOrwPtYruWLuOf3PDW/mxbxyGdgkjUC1ihJJ5Fp0Wv/vSQ9z3yCruufPHmKqNgIbLQZyvlOWV+rf5wJhtBp5boTXOOQy+6J8DtEIlGpdonBccg5q8cg5nHYlvgF3/KiXepPS4SlR1nNxC6SyJlWKT2mhcPTvr/q1kSfc2sPwLQ2JFS6Wv5l7vG5rn507wzccf5eFnHoZVPrvNAspIpqbzbuxF+PDeN7Kp3sQ5V00cfrUqTJx1u6pxafAbyxm0aKLsuzBelafqfKM0xlA6KSuBUj3tz7nefBH/3pXymVYKpWSerHXi/gpuBTc46kfOibOuz+XjKlmBgtI67rjzh2B6tUzKA/F9h9UsOy2xUoD9X/08Bw4cYKnoUtgwl+fKJvfzRoxSYvEG/77qZWM5pGmGGEo1+PbHXZBZ1jr8Tsk+nBNBJS5HVQ3M7gq8deH6C1vwxPNP80d/+ieS4Ta9GhbmZZ6Ys3LDwvyTqUnet/EG2UGfteaAzlmLa0WudF5xDCVyZdMuZWGfD3/tL/mTez8L6RKMT8lcirD0abctabKlBcZ48x1v449ufS9GadY1MrRaHlcwuqfVV0PuoMoXPo6q3yVlvisLT4lrWlUxBet6mYFKwUK3S2oS9p86zZ8/8wD/1zc/JxOMJyZE+eh389kSFkrodvnUf/lRbrx2LztGJ+U7/c/bulfNUom8OsSn+RrHKENhC/7rrW9g467dMrm08CtWliW0FkEnUo5kfAxmT/HVez/FH3z+zziyeApZ70bGCYujtFLF9Sy8ZRkso/A38Db+vcp/Whm0rxdW2IKutRTWVcKkXRZeDiieO/YSv/fIF/g3n/4UHD8GU6tE8UgzaTPdjgiNTlsyBHfs4NprdrGmMeEtv752EdpD5KoiWiivcUIacKd0PHX8IDf+8W/BkSOwY5Vf3EiSIlhoSw21egrzc0AC69bxx7d/gG1rN7B7ciOJ1mifjzea1mS8GHCLBSdHKAqYRgvlkqIH3ZbeYmiXJc7BTNfy0sIxfvupb/H/Pf4gHHoCxiegNgZzZ6DZELfotF+BsUggz3lze4qPfOin+andN6Ogl+nWb5H0WzWRq4IoUF7jOF9+fAlQaH7p4Xv4rc/9GYwWUsuqU4rrq1WIxdJIpVBip4DWEju+O8dtN97I22+9kxv2Xc/uVeuZyJpkRp3l4YCexyu0uihPLjESHJL/+0SYoig4Nn+G+cUlPv/0t/nq/Q/wibnnIE1g1FewwGcCulJib3VgpAmHT0O9wW++9Sf58T13sXk0FUuo371lz9EwIlcFUaC8xgkPX5UWt9RlNjN86itf4O9+8eOS9rnKr/FRKgnSO+WXWbbyXgOdXP6yGoyugnXr2Ty2ltdlTSb6JvpBL+sq90euRw31kpJpKZZ5siyxzvJM0eHg0hmKE0fh9CmYPS5u0LERUSRCOfoEcXMVSNJGRybE1mbhv3rnu/jDd3wIlKoSGoL86FpbZWxClCtXG1GgvMapFhNq56hEM2sdhc153X1/xuGvfQmm/To08y2Z9Dg6JoH6fFEEijGAA+s11yXvS2/7mmzlQJguFOUMH18hUzGuWnLvhEx9HrjR8hwNIgmmRuW9s37ejMzPIUUEjNWwuABdoCz40J3v4R/d+j5ev3pcsjWV6rUx53wc3pcA4vJeRCzygxMFSoTSOkociZI1a3CO+bzk9/7iP/KL3/6SlNFY1wRbyACklJgaaeKXZFY9d4YrvRaLfL5SxdzQ6nRsfpeURiLPqUAESB4Eh38uRSEJGbaEhTkwGYyNS1Xq+TPQzMAkjJ5SvP9Nb+I33voBphtjpH4uU1cr8tJST4xPAhAB4rqFpF0nK7SPyBVJFCgRANplQaaTygVxbGmRkbTBLz70ef7fL38OWkdh9VrRVItcLBLnAEW1HkhZigXSP59jJWIQ5fKg7rP5Or4cv4Wqth7IgN/tyPskhdzH0lTqMwKXIEn42B3v5Wevezt7JkfoFDkTtRqUllLLao417/oMT9u1upCYq6ouXCQKlMgF8NCjj/C/PfB5Hti/n8VVwOioTDW2pVgvtpQ1bEAGHmWoFu4adGkNJqrHuW2XljSVZ6WdPEeND7r7P619tp+TQo9oWclyXuav/PTGfbz/Xe/ix3dI8dDEZ261nZS1D/NaBgeZqEZcnUSBEvm+LLY7jNRrfOXwi/zVs9/m17/7NTh50ldi10AJxrtNrBMXiXOyzZieoAlUFol/jQLl0lLmogBkPnaiESvUF9ek05Fki1oiz3JmTp73+u00t23jSze/kzWN1WwerdMtS1kSWCsWC0kfH0lTIAqU1wpRoLzGCRmjoQpvtZKl93WXDjplQd0kOBzfPPoC3/j61/kHzz0ILxyE9asA6zVbDbXgKnHLZ0KHVlb6oSQ0u6ugfMuVTdGzSFwpyRQAOhHBkSaS1TfbAgdvGdnA7a+7mQ/edAfXrNvEdL0BzmF9maTwvM90OmhlGBtYAnxZinLkqiMKlNc45xMoraJAKUWqNdZZFgvRLj/zwgEeOPUS/88T34D5eZifEW22kYhvPUF87WGJ4OD6Gnw931LMkYtLon36txGX12IOZSENQilZ3nhqFcnmXXx4wy7+223Xs2l0HZtGZOntplG9RqQUYUb8XC4WyniWLj9eFChXNVGgvMYJ1XrDjPXBbl46KJ0l80HaMi8obUmSZmitmO/mHFuY5ZkjB3np4CG+d+oYM6dP81xrjsVWmxkj+w/yI4RQMu9SOZnEgeVSsmG+jTEKpTRpkqIbNVZPTnHd+DQT4+PcvW0Pa9auZdPkapRRdJ0j1RpFL+U8zIJ31lulCspEo5TqKSoD7SsMOvHpX11EgfIa53wCRdb74JzzBZxzLOQSnJX9KNp+eYIlP4Mxd/I6qJiG/bXL2PwuJZkqSXSCURqLo1uWgGM0TTFaM5EqUmMqhaJr/bIRSlafdB2xRJRREsB3IlwKrTBak6/QvqJAuTqJAuW1zuBIH5qDH/BzW6LQJIC1PT95aDTOQSjorujNM1iJwcYWB5TLi7C8QW5LZJljhUZhCkkrVqkBo1kqLHnZpZnWZZ0XRTX7HUCHxcMGqglHQXJ184oX2Ipc3ThU1fmV0T6TqyTXIa7SExEOES7fT7Cc9WnUZy4tA8/JKAUKlErEk4VFKf/sw5SRopTVV3VKp8xJ/OTV3JakYSKrrwsWeW0RLZRIJBKJDIXBaWaRSCQSibwsokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQyEKlEgkEokMhShQIpFIJDIUokCJRCKRyFCIAiUSiUQiQ+H/B6AihDM3xJS5AAAAAElFTkSuQmCC\"\n  }))))))));\n}\n\nvar ForwardRef = /*#__PURE__*/React.forwardRef(SvgLogoCooperAccion);\nexport default __webpack_public_path__ + \"static/media/logoCooperAccion.f65822ea.svg\";\nexport { ForwardRef as ReactComponent };","var _defs, _g;\n\nvar _excluded = [\"title\", \"titleId\"];\n\nfunction _extends() { _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\n\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\n\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\nimport * as React from \"react\";\n\nfunction SvgLogoIlsa(_ref, svgRef) {\n  var title = _ref.title,\n      titleId = _ref.titleId,\n      props = _objectWithoutProperties(_ref, _excluded);\n\n  return /*#__PURE__*/React.createElement(\"svg\", _extends({\n    xmlns: \"http://www.w3.org/2000/svg\",\n    xmlnsXlink: \"http://www.w3.org/1999/xlink\",\n    viewBox: \"0 0 60.36 25.47\",\n    ref: svgRef,\n    \"aria-labelledby\": titleId\n  }, props), title ? /*#__PURE__*/React.createElement(\"title\", {\n    id: titleId\n  }, title) : null, _defs || (_defs = 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wjCE+KhWqoCGporsUtIqMOmoUqlU0sxOkpUy4yiseF4v9nGP9s1WFRXTMEliqWEYoSK6sOi6nm6oAYJ68poy5HI5qpUqO3ftpPdgL7+59166e3q49JJLuOqqq9O1PPHdzoX1Jdmcweha/sDvHsKxbWr1Orls9liHT85kEdbJEuiTHJ/NZqnX62i6sJ8kHXt27trFueeee8xjm5HmP+MmIfHzJBeXqio89ofHGCmVpmWxLZfLtLW14dfr1Gt1VE1l6dKlLF+xYrJDJTGJ0b6zo50tW7dy9913s2njJnRDx7GdMWn4JGLhez7Dto2qqliZzBhfqh+4qeDL5/NEUUTgCytCFEUiPYeCpqqTeqht26ZYKJAxM/ieh+t5sSdVp72tbcIIVKOvanxLo/He4KjhMaqi0tbawoUXXsCFF15ABOw/cIAD+/azadNGtm7dRl9/H57rEoYR9VqdXD6HX/UJQuG/1Q2DIAzxfI9yucLw8Ai7du/ikUce4dJLLubqa65LC0HmouAII7FBTYvsTvDfVywUyeayVMoVIR+iKD0/xp8bE9FYWW0aenq+BqEv7Crh1Dbk04GZyZIUPDb6JydriXcqEMSfcbK+rV27jnvuvYfNmzbhB0HqeS0UCqlY9T2fqlslDEOy2SyBH+A6LhGxMI3XwyiKyGazqaUqDEKi0E+jesnvjogIo5B4iRBZA1UFRYjgMF4fI0LGF84Wi0Vq1RojIyNomkYulyNn5PA8j8GhIUrlMjt27OCBBx/koosu5Mqrrmbp4sXA3CgSTNYPUSynEYURGzasJ5/PY4Wj48yfL5NFWKcaoa3X6ziOIzKXcUQ58AP27X12Tnw+45lbf80EJB934817z7N7CMMQI5vFibsUPF+ylvgdlmVRr9UJgoDunm6MkyAVeLIw/sbd6GdOLqodO3fyq1/9F08/vVp4xWK/atYSO2BFGV3Ik5t6YhcIw4h0tWb0RhoGYwvBFJQxC8BkYhbAsiwqFRHl9TyfTCZD4IviDnuC0bjjGS9YFBgjshQSO8yRwksBerp7WLxwIZdeegl+ELB71y7WrVvHmrVr2b17dyryc7kcViZDqVzGtm0sy8I0DOwgJJu1KJVK3HPvb3hq5SpedtlLefkrr2Tp4sUTFnA09rRNPHEnsy+ycVE29VFPqe95x/UZzyRhFOI4Yo0J43Rwck5OJmYneoyqKnGBjrC+nAyfiu95BGFILmsRNVzrx/P3NTtJF50IGBoeEZYjRB1AsVhIr5ut27bx61//ijVr1qY2lGqtlq5v/jgvv67poJF2RJmoG4uiKEccN2aN0yb4Xoy4LqIj1sfGrxVFwYmzOYk1LwxCnECcz4ZuEEYhuVyOvr4+7rrrR/zp8Se48cYbeeWVr0y7Oww2vC+NxYPNJKh0TcN2XQLfR42DJzDzm7bJBOtkZKyM8PoaBr7nkc1mqVQqbNmyNX3MRH2tT7aC2uOlOc6maSCpKv7FL34hBIWuU6vWJm3bNBmGoVOr1ylXynR3d1OpVLj0kktpb205rgjMXCe5SBovFk1V0ovIdRx+8P3vcd/99+P7Pi3FIq4vWnR1dnZSq9YmeYa5TeOCr2saZ511Fqedfjqvu/FGgiDkrh/+X5566ikO9PZSLBTJ5/NpMYdtO/iBT92OyFoWuVyOffv2cdeP9rB27XouuvhC3vqWt1KpVFE1LV3Akuc82qI2kQiWSE5FEn9sFEZ0tLUyPFKirbUlrQOIwog7/+NO7rnnXlzPpaVYxPN8vCiko6ODeq1+rF9/0pPYr9ra2ujp6aG3t5evfPUrPLnyKd70Z3/GGWeelYpZPwjIZS36BwZGx383Acl93DJNNmzbJiwfofAyz7SgnSqJJSnxVuuxQHYchwMH9nPasmUY8eegxZtlBaZc7HaiaM5X/TxRgF/96legiN1nGIVoE0TGngsRYpfmex6WZRH4Ppdceulkh50yjBexIAST57l89/98hw0bN3L48GGiKKKlWCSC1OdjWc23Q5wNdE1Lo7zvec97+Mu/+iu2bN7MffffxxNPPAlAS0sLruvSlm0lCENcV7Q2szIWmqaxb/8+9jy7hyeffIq/+PO/YMWK5SSxzMTPO5GYTX2Sp/hGTSJJSDZ+juumBV8AjzzyCPfe+xsOHTpIhOhJHYUhdVuI2LnQNqmtrZX+/gEOHTpEa0uLqKLPWGzcsIH+vj6uuPxlvOGN/w+5uFVdtVaju6trwoEhJyuNOZ7169elFo8ojCZKrJ1UeK4nIsqMtq5UVRXbttm2dStLlywFRtfzpAbBNPSmiqAnNNerfZ4kF8/g8AilUgkjbnWTyWSmXBTmui4ZK0Or2ka5XOass86io6MDODVSbpOR7Phcz08r/J96aiU/+9nP2H9gPwMDA3R1dZHL5dKWWO3t7URRxMjICFbm1Ba1jR7KhMSHmzTXD8OI888/n/PPP5++vn4efPB+nnxqJXv37mVgYIDW1ta024eqqVhZi2R4w/ZntvP5L3ye17zm1dx00xtobW0ZU8gCo50ZYOw5LTMQklMd1xPDXhJRGyHuCT/+0Y9Yt349WzZvpqOzk0KhQKlUAqC9XRQLj4yMkDGb25o2NDRMS7FIGEXU63UMw2D+gnl4ns++vft45NFH2bxlKx/72MdRNTW1IYwfdtQsbNq8BVURnW+aYVMfhAGaOvoeq6qCpmq4nsfWrVt41ateJYSreqQUbLbPBuDkjpdPE0bsq/vjH35PPpeL28uoU/anQFKoBLlcjoH+fi576WUyHTuOWt3GNHRqtRrf+ta3uP3229i3by+O47BokShQGhkZwfdFFbfv+3ie17Rpj+kk8eBFjB2IoGvamF10BAyNlCi2tPCOd7yTT37yf/H2t7+dCy+8EF3TODxwmCiMMA2DSqVCpVIha1m0tLaQz+f52c9+zif/5ydYtXJl+tzJTj05n4NxftSkAEsiOVUxDX2MmLVth69/7Ws89PDD7Nq1i/kLFhBFEaVSiTAM07Z/nuelgZVmRtM0wrg/bqEgbBZDQ8PYtk1HZweDg0Ps2bOHf/7n/0UUjvaoBXDdE9uh43hJsoyDwyPs27s3ndTXDIIv8WtHUYQad/lJhvnseXYvIAIW4+smoDkDcqeEoNVUBcd1efB3vyMIhe9FN4w0tT0VDF1UDrquSy6f55JLL01PhBNdkHIyoCBS12vWrOXmm2/moYceFlNwggDLsujv78dxHPK5HG1tbei6EL6O43DCm8afRCRLSxhGosF+EIwx8ytAe2sLWSuDHwR0dLTz5je9iY997GO89W1v4wUvfAERYkSuaP2kUbfttN9td3c3h/r6+PwXvsB3vvMdqrUjvctB3MMyYar+c4mk2QnDKLXmHD48yC0338y69eup1+oYusHQ0BBhENLW1kZXZyeGYVCr1bBte05s2IUn2GNkZIR6rS5aC8YBpKQIyfM8ent7+fQtt3D48GB6bLP9/du2bKZu2+iGLgZQqCe/fNI0Le2lripq2uEHYGhoiFrdRmHsWt7MgYqT/xOZJjZu2Eh/Xz/VahXd0ElGAE4V3dDTsYMvv+LyMR6qZkhJzAY//smPueOOb7J///70YsmYJo7t0NbaSiaToVKt0tfXh+M4tLW10dLSMukUr1MB1/PTyKhCkjJS0ght2FBs57gujuuKRumMzpG/8XWv4+/e/35edf31dHR0pCN3M5kMqiIGgfT19dHe3k5nZye/+OUv+fznP8+2bduoVKrpa0mKBxLk2S051QkjMaylf+Awd9zxTTZv2UypVGL+gvkEYSDsPhmTSqVC/8AAjuPQ2tpKS0tLOuq6mTk8OIhhGLS1tYkBIrYt2hLqOrph4Dou+XweBYXVa1bz7W9/CxA2wGbzZ27ZsoWkF7Dv+9OS4Z1pdE2DKMLz/NFAWyTWf9u2WfmUqLlIBqIAaQS6GTklBK3jumzbtpW29jbCcNQUnZmG1lpJKN80Ta644uW4nj8mNXyq85WvfJnHH/8ThwcHiULR11BVFaq1GoZpEEYRnueRMTP09PSQy2YZGRlheHhYRgARKaBEsCZRWT/2zybttJLFJxnWkCxM+VwuPRdf+MIX8p73vIcPfuADXHzxRei6LqZN1evksjm6u7sJg4BqRQwC2Ld3L5/5zGfYvXsXwyPC+5dYHRLGWxAkklMNXdOolCvceef3WbVqFe3t7cyb18OunbswDZN6vU6tVkPXdTo6OshaFiMjI4yMjDRdhHIi2trasG1b+IGtDB0d7RiGTj3uy65pGo5tE0YhPd3d7Nixg9tuu23KtSuzReMKt//AgdQmMr5d2kmLosRZvdHNUxLMC4OQtWvWpPeLxAKSBE6acXWfM4I2GOfPaSRjmqx6+mkqlQqGYeA4DmEYiubSUyQKQyzLYnBwkLPPPgfT0NNxePYUx+KdDBzPTs2PU9GJ4ALh5/zvf//3PPXUKvr7+jENMx0BKoqZTMIgJPBHJ7HYdRvP8zF047iLJaL4fwCarmFmTMyMiaqJEY5hFGJlLcyMieeLmehmxox9Qy5+4KNqajwbXSEiHnIQf21ZFmEUUqlUyOVzuI6LbuigKJgT3JBENenk7xmMXSyTfx/r2CQqq2vamL6w471OjaKz8fe5ns+5557LRz7yEd733veybOkyAGzHpl6vY1kWGSuD7dhptPfTt97K7x99BNfzqTf0bK7V7VRoSySnAhGjhZLJteB6Pt/5zr/z+ON/olgs4ns+Q0PDtLa1kgxL0TWdMBBTJEUVuYlpmGmP2WYmsVZkzAyO7VApV9P1XYvXKVXT4lZXEWEY8tTKlfz4x3eN+T2NVqZyuTL+aU4K9uzZQ60mJvRlpzohbJZINg6mYQph6wfomo6C8NauWbcubWmabehqU6lUmzIgN3VFd5KgTVAJHiGE7ubNWyiXSkRRhJXJoOs6qqpOeQ4zgBKPn7z88svRYoGTtGOZC21ZJjKGN0quCLGzS1pJ6ZrG9u3b+eQnPkG9PvM9FpMxkRERtm1TLpepVqtijKRpkPRJLJfLKIpCJpMhCsM03Ze1LMJACNZypSJSSbF53vfFuErDMGhpbRGNxl1HiNtslqHh4SMmxSS7WzhSsIJYuBstBI2PGX9scvOcCo2iszHiffEll/Df/+HvefWrXkVHRwdBENDX349jO6LLRCimEHW0t/PNO+7gy1/6N7JWhrrtYLsuuayV+nkTGv82iWSukIhXBdJCzKyVwfV87vzB91m/YSOe58W9Pv10fGwwTba2ZiadzogIEPi+T7VaZfeeZ9m0aRMg1rnGfq6ZuF3jVKdwTQfJ6rl9+3YAMmYG1xVT2yab4tUMBEEgBkbExe0JubgbRbPR9DmPiCNT+xGkFZWaqvDEk3+iFAsawzDEJCpNT6NzUyHpR/e6G25IBYNC807amIzkvU38wQpj+5Vu3LiB//2v/4plWQz0D6SVrzNFpVJB0zR0XccwhIBVFAVVUdDijYsf+4dUTSMMAuq2jWmadHd1MzQ8hGmatGRa0olHIFq65XJZBgYOoyiKEMG+T6FQwHPFCNxf/fIXDJdKZDImuWyW1tZWenrmsWjxYhYvWkyhkGd8263GUYqu66XCMFm8G6OvScFXYzR2KiTiNggjMqbJ4oUL+Yt3/SXz5y/gP+/+TwDCIKCvr4+enh5qtRqlUonOjg5Wr17DF7/4RT760Y+mmQdVVcYIWF3TpKCVzHk8T/g/n3ryCR559FGq1SrFYhHDMLAdJ70PuK573JmmuUrip1VURQjAKMJzPXbt3Mn9D9zPueeeO6YtYMToYJeTyXL2+J8ex/d9zIwp6nB0fU4I2jAI2L5tG2efcw4g3n+niXoEj6fpBe14EoGrNHhAtm3bLnYgcYVfEARkrMwY/+HzxXEcOtrbefGLXzxmRzlVoXyykry343E9n6eefILbv/ENrNgn1tXdhV2feieJY6Eqalq9mcwzF9X4YqZ5JpMRC0+oompikdTCENu2qVartBSLBEGAYzuiR6tloaoqlXKFUmmElpZWVFWlXq+jKIoQ6JFInT3+xBMQRaiahhq3gVH1s1sAACAASURBVAuDYEzUdfnyl9DV2cWyZctYtHgxPd095PN5Ec3OigVbVZUj+gAmPtnpKJwY34YlikJsN8DQDUxD57rrr+eSSy/ljjvu4Mknn2DxokWUSmU8z6NYLBJFER0dHaxctYp//tSn+PQtt6TTfsZH8BPRHMXPK20JkmYnawlRmvQzz+dy7Nm7l//6r1/heR65bJZcNptuhpM16GQSZCeSRuGnahpW1qJer7N502ZWrlzJxRdfnP48WS1Olh7XiZ7YvHkrvuehaRpBEJDP53GdqWd4TzRhGPH006s4//zz0383QzuyozH1u+UJ5gibwbjo4Z69e9m/f5/YJcaP9nwPMzJFajmcWlojCAJe8MIXALFw0EQEzDLNk+ainEkiRO/FDevXc9vtt6cNxKNIpJdmmoyVIQzD1I+maiqGoaNqORRFoVwuk4v9TtVajTAMKRYKtLe3oygKnuty1gvOYl7PPAYOD7Bu7Tr6Dh2itbWNc887j71794ror26kdgPf9ykWCuRzOarVKr7nE0biJiZ6HGsYpoGu6/zxj4+TzWaFdztOXS5dtoyXXfZSXrJ8OfPnzxfCT9PSSEW6qEywriS3hudyVqmqmNIW+SEZ00ytIUEYUalUKRTydHd18sH/9t9YuGA+v73vPlpbWwlKgfBcGToHeg+QyWTYv38///ihD/HlL32Juu2kqVcYjawkr1GKWUmz05gBbDyb7/nVr9i6bSstLS04jkPQkCkCEfkyTbNpip9miolaL1qWhed5lCsV7n/gAS6++GKCMCIIgrSntut7J0WUMFmPy2VRGJtsVExTtF/TtaaXUKxZu46/jL9OPoNmnBIGc0DQNtIoZkFEuR763YOUSiVaWlpQFYUwilBcRRQjTcMNt1AocOGKC4CxETDQRHuMk3023hRRgG1bt/Llr3yZlmKRcrywm6ZIzcx0yq1er6MqatpvD8RF6Xk+EVG6kw6jkMWLF3PxRRfyghe8iKGhQTZv2czevft49tm9bN68RURpVYWOzk4cx2Hr1q3kcjm82GOUMTNouoaCwtDQMEuWLgFFQdNVNBKROBql8fHTqtggCFA10e5lx47t7Nq5kx/96Md0dXWyeMliLlhxARdcdDEdcTHJsRh/nh+LZFOVtPhqvEFrqkKhkGfP3r0sW7KEjrZW3vHOP6ezq4u7774bAMcVkWvTNDENg75DfWiaxs2f/jQf/9jHANKbUEIQNN8EIIlkIhqzDElNxMqVK3n00d+Lji1xZsi2bfK5HJZl4TourufNCbEzVRKbV4Lv+Wi6hqZpuK7L1q1b6T14kAXz56PGWaowjJ7Thn2m6evvA0S9TOALC0UQR+Gb/TNWVYX9+/czPFKitaHlqO9LQXtSkFwIQRgxMlJi5cpV6a45iP2ViciYqt0AYOGChay48CLh19VEtWByM5/LN/UgjPB9j/37D/CVr36FYqHAyEiJIAzI5XKoqjork3BURcUwDdS4OM9xHFRVjFgsFIssX/4Szjj9DBYsWEi5XGbT5o388r9+ycGDB6nX6lhZC9d1RZQlCLAyFlbGENYETYhXz/NxPZfWXGv6d5XKJc495xwuuOACWlpa6O6ZRz6fx3FdDvf3cfDgQUZKJfbv20df/wD79j3L8PAIIPy5Wjxfe/+BAxzo7WXDho3c+5vfsGD+fM448wwuvOhili1ZIvo16kYqchXxRx/1/RhPY6RjvFBORk8uW7IkjbJmrQxveP3rWbxoEbfdfjuapnH48GEWLVrE4cOHyRfy9B3qwzRNvvPv/87b3vnndLS1jrnu5vJ5Lzm1SPpzJud078GDPPDgg5TKJZYsWUy9bqcRx8b7SRiGBEjbQRiGeJ6fBhx83yfy40mdKLiuyz2//jV//dfvSdcnTVVAn/l7x/Gybu1a6vW6GE6gKqCoOLY9Jz7bMBTFbTt37GDFihXpeT4dLU1PBE0vaBvT+o03bNd1qVQr9Pf3U0x8ko4jKlA1DRRFTEmaYuuU7p6uMcMUklB94reai0QI24bnuNxyy82oisLA4cNp+s3zPCzLind5M/seGIYo/AKxoejp7uacc87m8suvYPmKFQweHmTNmtX8+Kc/YffOndTj6XCqqqJrWpw20shkMmLggKqIiuVIXOiKoqAbOmZgEoYhg4cHaW1rZf78+fzVu//6iMK/bNaivbWFs846a8z3K5UqGzasZ9WqVWzesoXhoWEiRCcB3/dxXZfe3l727t3L06tX88SfnmTZsqW87R3vJLKi1McHz81ukJyDyTQx0Y5M/I5k8WosxEh+du555/OJj3+cf/3//pXWlhb27NlDR0eHsFRoGqWRER586CGWnXY6F198MT093eJ5ggAtjrQ0a9pKImkkDCP8WJzu37ePzZs309raSq1Wp16vp574etxvVVGUtNPBqW458FyPIBQdZwzDEK0UgzAVuFEU8Zvf/pa3vvVtFIuF1MaUZDlPBpJhGYqikDFNFEXBdpx0IlqzY2UyHDiwn+UrVqTZCE0VBb/NZhtr+ruNqippR4HGDyBrZfj53f+JoRupeTs5AcVO+viis5quEfiin2nSWiQTi4vh4WFe+9obUh8ijAqGuSRmxwsTBZH2/udP/TOBHxAAVkak2hKfsmM7xyVma/UahUJBLP5xut6xHcIoJJ/PU6/VCcKAjvZ2RkZKGKZBuVympaUFOx7d6tfrvOyyy3jjG9/ImWeeCcCWrVv5ype/zOrVa8Y8X2OKKAwjVEUdcz6EYZT6qlVFRVUVfM/HMMREuJbWlvR8mqgx+vjLPzknC4U8l1z6Ui677DIAduzcyaaNG7n77rsJ4vGzqqqm1bN79+2l92Avjz32R04/43Ref9PrueSS0eIJx3XHtIVLokONHRUaaVyYxv+88d/J11krw1lnncVnP/cFPvyhf0yL7pLCysRWctddP8TQda5/1fXAaGWyFLOSuUBjYWatbvPVr30NoijNPmXMTNpkv9FeJQpEpy5mRURQRDIVFNFP2/MIgiAtREt+ltQT1Ot1VFUll81SrdWwMhmIX4+ma3F7MRF1nqjOQ1iTxIa+sZ3W8yHJdIVBiBM46doRBmH8tUoURjz11JNcc801qSc/sUhNZr+aKo2aoTESn3y/bjs8+eRTWBkxUtzMZCiXy+TzeWzbnvL7c6IxDJ0gCPjDHx7jxhtvBEbfh2YTszAHBC2Mto1KxGQURgyXSuzbf+DYBx4HqqKgxGJGjdNPtm1j2zYLFy5k3vwF5GMxC8RpasFsXJAzzfhIc3Kh337b1ymVSsc48vjo6RaRvaHhYWrVGrl8jkwmg+/71Gt1MlYG0zQ51NdHMe4w0NnZSa1WY+nSpbzj7e+gta2VM884A4D773+AJ596koMHD3Lo0KHjEtUzSeOn3xh1OPOMM2jv6OSmm25i9eo1PPTw79iwYWNaaKBqwkJRLpXYt3cvP7jzB9x9991cc/XVXHvddamYdeOWZI1p/rrtoKjKtGyqcrksn771Vr7wuc9Tq1UZGBigvb2djJXB9Tw8z+ehRx6hs6uLCy+8AE1V0nNmLpz/klObxvN33ZrVYtypouA4DuY0XF+T4Xm+KDDVdDFmN0o23iGu52Ea4mepAFVVsnEf1wjiQEFEoZDDdhyGhobI5/PkcjmGhobIWtkx12mjbWJWRrsqCn7gs23bVq655hpgdMT2bKwdjc8xXpyGYcTw8JC4pysKoecRNBQ6z8r7M8M4rouu61Rr1fQ8SDY6MDufwXQyJwQtjEaEEsG15ulVHDp4cLLDJsWLTexRFKEbRmpyVxSFV1xxBe0NdoPxN3A/CI5ox9RsmLpxRCHRvff+hiefegpgymmX/oEBisUi2WwWXdfJZDKoqpoWVSWDEUxTTJ4ZGhrm+utfypVXXsniJUtpa22hbjusX7+e+x+4nz/+8XEM3aC9vS21IpxIGs+HMIwIldFzpKOtlUqlygUXrOCCC1bQe/Agf/jDH1i7di379+3DCQKWnXYa2595hlq9Tjab5Xvf/z5PrVrJNVdfzSWXvjSNHiUFX5qqpPaE6YiSWqbJ0sWL+fCHP8S//duX6JmnMTw8nP7cD3wOHuzlu9/7Li9Z/hIURcUyTSKabzGUSCYiDEWf6N//4Q9EYYhuGMJONQuCNrEwQFwMGtsZQARPKnHhra7raSZR13VM00RVVdra2sjl8vQe2M/Q0BCtra0AlMtluru7qJSr4nkahCzAxHme6SfJ/Kxdu45yuUKhWEBh9oJBCqPdkcaI2zjTtWf3bhRFRJWjKErbfwJpxqqZCYIAwzAYGRlh2zPbeNGLXoRC3AlqFs7v6WZqd7uTiPEG7Y0bN+AHwZRTAkl1erKYgCguszIWFzX0z4uIFx9GI7RzwTSuqgpDI6VUuK9evYa7fnQXHe3taZHTVEj6xPq+ny4YSUq/WCxSq9XwPE90k7jwAt73/r9D1w2iKETXNLZs3cp//Md/sGb1Grp7uunq7KSvv59DfX20t7fPeB/c50KSRmuMqhYK+bRlzYL583nLm9/MG97wRh584AEe/N2D7Nq1izPPPIsoCjlwoJeMlWHjxo1s2bKFi574E3/2pjezaOGi1PPUmDabLmp1mzPPPJP3vve93Hnnnfi+z0B/P0uWLqFSrlKL26F9+1vf4gMf+AB+IIthJHMHVVXYuHYDGzdtEt0LDFE0yiw01k+jg1GYitvke6qi0NLSkk55WrRsGZe/7DIuf/kr6GhrTX9HtVZD03X2Pfssd999N2vXrcPQDQYHh9IMVjI+PBGyE0VsZ4IoijB0g/6BAbZv384FF6yYNTGbEIZHekWTf23atIkoDCFez8RrU4nCkCiMThab7/NG04Sl0vVcVq1cyQtf8EIUVRmTaW4m5oSgbYxEJUUpW7c9I0zoUyz6ShYPAM/z8FwPx3VYuHAh7Z1d6c1bSR7beOwsXpQzSWuxSKVSRdN17rrrLgYPD5JdtBAjFmhTIWOaceraS/u1VqtVXNcV7aIMgxte+1re8Y534vkeiqKiqQq1usdXv/kVtm3dhu04tHe04/s+vu/T2tJCEIZpSu1Ek2ysVFVBVY8coqCpCpqqp6OYM6bJa1/7Gl555SvZ/sx2brv9NnoP9LJo0UK8eHSk4zg88eRT7N7zLNdeey2vetWr42tASzsjTDU6m5DLWtTqNitWLKe/v5+f/PQnzJs/Hz/uUZsMsXjk0Ue56KKLufCiC2c1yiKRzDSrnl5JvV4nDEPCUPRzno6AyWQoikJSW5D60x0X13MxDAO3WuV1N9zAjTe9nq7ODsIwwvO99NpzXJd8PMa0q7uH973/71i18il+fc897N27F1UdO1woIpq16CzEfU8zJqqmsmHjei64YAWe75GJszyz90oEjfdzgK1bt+F5Yhy6qqiiNWTAnBlrrCoqfiCKt5/ZsSNdr6c7KDJbTM8d7wQTRuGYr59+ejX9/f3T1nrC930UVZjqFVUhm81y8cUX0d7WKiK38eNm++KbDZLUcS6X47vf/T88++yzdHV1cnhwMPVqTYVypYJpmliZjKgerduoqsppp53Geeeeyw2vu5GFCxemi5ztujz44IP89Kc/TTsWVKsibVbI54mASrWKYRgsWrSIwcODx3j22UFV1KOWIDZuxpJFPCGfy7F8+Uv46te+xsO/e4if/udPxXSzlhbKJVGYsGfPHn72s5+xd88err72Ws5+0YumxTs7nlzWwvV8rr/+OgYG+njiiSfZuWsXXV1dANRqNbo6O7n9G7dz++3fQM9qUsxK5gS1us2WzVvJZrOpqFVUldDzZnwiZDIuVlVUNF0jDEPqdh1d1+ns7OR973sf8+cvoKO9HRBrdWOxaKbBy55047n22mvp6Ojkq1/9CmEUoSpiwmLiw0WBMJwdy5AoPBP3l+3bdwAzHxU+Fo09tPv6+untPYCiKqkG0FQV4kziXMhCJdopY2UojYzNuDZjQGJmr8ZZwjLNdIa8qqj87qEHxc5jGiZVRURjTvKMadLZ2cnV11yLwuxc9CeS0Z3qVn57330UigW0ZBrONCw8LS0tYniB5zMyMkIun+MVL7+Cv3zXu3j/+9/PwoUL0eJFen/vQW772te4++6fMTQ8TLlcxrEdOjs7yOVyDA4N4Xs+8+fPR9d1Nm7YMNnTzwqqqqDFkZCg4T1L3r8xhRjE9pUwSr9v6gavec2r+ey/fJarr7oKXdPwA5/h4WF6ero5PHCYe+79DXfeeSePPvoo9Xgi2XTgen4qsk1Dxw8C3vGOd3L66afR1tYmCgoqFebNm0e1VqNWq/GjH911jN8okTQXq59eRe/BXnRdT0WMF49BnWlEhFYIC0URwkrXdc4++2xuet2NnHfeeXR1dqSR1rrt4LgufhDgBwH9A4fTe5Ttjo5qXbxkMR/5yEdE0bMiMkdRFBGFQtSGUTgrUUhFEX2+wzCkt7cXGI1En4g7qxJH3F1PFKo5rotpmql3VlFVgjCMvafNHw9MLCy2bVOv1djfO1p31Izapvk/kZhatUqxWEDXNNatXUexpUi5VJ6yx8UwjLRvnh+4ovBGE83ok4UmESBzVeDW6jY/vOuHRFFEpVzBzJii6EBTp9yaxvf91NJx+umn87obbuDaa68FxnqbNmzYwLe+/W327dsHQFdXF9VqFQWFcrlCEAQUC0U0XePgwYOoqsrZZ5/DyMjUfb5ToTECq6rKWEEbhUe1BTSeR34QoKPR09PN+9//fnbs3MlPfvITVq9ezaFDfSxYMJ8oili/fj0HDhzgUF8f113/qjEFi8+XxPebTCZLNnf/8A//yC233srWLVtob2+nVCqldpHHH3+cFctFoZtE0uxs2LCBakVkfRKLge/7ZLPZKVvaJkPXdaJQiMswFMGVQqHAiuXLuf5V14+5NlV1tCA0oburE9cTo7kbMzfdXV0UCkVUTYNAtF5MSCYRzkbRk4KC44o2jbomBhPNdh/3xu4zoxsWl3379qEqYkpivV5PHx8GYVok7nlTD5qdSBJL5eDhQQzDYNeO7SxaMH9GajFmg6aP0CZRrGKxAMDq1U8DokesZU3dcuDYDpaVQVFV6vU6nudx+eWXY7tuKjoUhA+ymcVsMikqavg6+e8Pvv89duzYQS6XQ9M0HMcRfRiPoygijMJ4+IGC7dhoukbGygjfTsYkl80y0N/P297+Nj7/+S/wildemR7rBwFhGPHDH/5fPv/5L7B//346Ojpob2+nXCrjeR4gFsWkv2zgixG1hm6ccDELHCFYG33VR1swGs+iIBR9MJONE4iWX3/7t+/l4x/7OG2trdi2LSwg2SwZ0+SHP/wht9/2dVzPxw9Gb1VBGKU+Xfc5LMSN53Vii7Bdlw//44coFAq4cV/MpG2Q4zjc/bO7j/g9yeuv1moAY16bRHIiGH99JCRf2a7L2rVrsbIWtVoNM2OO6TQw0yiKQsay4gmIwu6WzWa57rrrj7uTiGnoE4rDrJXh5ptvYWBgAFXTUBU1HYKQDiCaYZKx2oZhoBsGv3vwQWDq3XOeC64r7iNJcW4YRuRzOVauWoWmadSqNQzdQEHBdVw0TcPQDeq1UZH7fIk7/qLpwqKl6VpaoJf8dyaxbZsoDGlpbcHzPB56+GFcz0fXtPRe0Uw0vaBNLuikevzR3z+aitxgGm6YqqamN+xsNkuxUOC0ZafN2u5xtjANPTXhR7GvxjR0NmzYwIHeXlzXJQzD9CJLRhpOhmVZ1G0bPwjo6uqkVCoxPDxMV1cXe599lkKhyHe/9z2uu/Y68RqiMBVbvu/zjdtv4/E/PUHdrovUSN1OPbPFYvFYTz0naBTAUcMNt6uzIx588DnOOeccoiiiJZ7oVcjnGRgY4OZPfYr+/n5A3JgdxyFjmgyPlDAN/TmJ2kYUxA3HzJi89S1vwfd9Ojo6GBkZIWuJG3+5XOa+++4DhHhutFVYcaHebNwwJZJj0VjU1SgNk2vt0KFDIhqniYmEvu8TxYVh02Fpmwzf8/G80RZKYRBw1VVXkbGsaUnJd3S0c+ZZZ6EAuqGjqfFggSCYFctBgu8L28GhQyLlPZsF1VZca6OpCqahpxHv2fh8k4mUgS8sIoEvdEYun5vs0GkhH9v9NFUlCAL2xxlQYIwXu1loekGbEAEjI8P84Q+PoRti7ODxCK7JSCY3RaFIiSxesoRzzzt3ssOaEjv2XiqKmoqdhx76HXv37hWFEIqYEpX0d20sxjsa5XIZVVUpFAocPjxIsVDANEwGBgb44Ac/yKdvvZX29nYKhTzlcoWMaWIaOs/u28fnPvdZfvfwwxw4cADTMMlms0TELb6SAoZTiLBB7AMUCnkWzJ/PRz/6Ud71rndx6NAhli9fQd22Wb16Nbt27eKOb32Lp59ejWWa5LIWg8MjaXHIVLogJL7m6667jmuvuUb0CjZE5Xc+n6e3t5eHH34EII0wKwhxO5s3K4nkWDRGOBuDI4mo2bRhI07ccSURtOKx6qysP0EQxJMKjVRgvvpVr542/2bWyrJi+XJcz0OBMdYibTb6eMfvYfK+7t7z7LTUZhwvQWwbbPQXK8DWbdsol8tHP3CaUGIPc4TwL4dRSE93D/PmzZsVj7ZuGLieiDqrqkpffz/lcvl5BztONLNwxs4sScpIUxW2bN6M6zhomiZmLk/DjVNRFJFeVxRq9TrnnXdu2gZlNi+8mST5K5IFXY13qps3b2Hjpk1Uq1VMw0wvMNGCSj2uC07XRJPv/v5+2tvbCcOI9vY2/sdH/wevf8MbyWUtdE3D9XyKxQJBGLHvwAFuuflmNm/ejGVZ5HI5zIxJFEVomkYum0XTtDRSO5dpXFh0TYyRTD6viNE06Rte/3q+/vXb6OvvI2NmOO200zAMnadXreKbd3wz/T2tLS3Tvli9451/TntbGyB29aqq4tgOh/oO8cQTT4x5bBKVne7XIJE8X4Jx63jj+Oj169eJ1HLcaSAIAhRVFSny41j/ppMwCCkWWyjGwwemi7PPPhvbtkcDQLHIVGfh7wvCMBXOmqbR29t7XIGS6SLZXOsN6yrA43/846zcXxoLDVVNRVEUli5dzJLFi9PxyjNJknnVdD19Lduf2YYRZ2ybjaYXtI2i8vHHH6e7pwfbtlFUdVomXbjxaLjECH7BBRcCYmTc8fiXmgXX89MUQ3KBPfzQ76iUqxi6gWVlRKotbvAdhuFx+cja29sYHByko6MDu17n/Befzyc++UmWL1+Opiq4nj+mcKr3YC+f+fSnAREF0XU9re61bVtUl8aeq1OBiTy4yVmXTLdJNnXdPd185jOf4QUveiGqqqKoKj09PQB87GP/g2qtJuwCxvR1qQBoa23h7W9/uygwUFUqlQqFQgHP8/jZz36e2oGSaAgcn/dPIpkNxlvTkjOzVrfZtWtXvN5FadusmS6UakREhhUxel1TWbR4UXrdTpfHcdlpp8VFz3GBrhIXhE124DQQBiEoimhLFgcpJur+MpMkntHG82Dd+vXMZj/exmj/0qWncdppp6WZ0Jkk8IO4X78vCg7zeVavfhqF2Xv/p5OZf8dmmOSGv3ffftauW0cul6NaqeL7/nFFECfDi/2zYRRy1plncdqyZZMd0nQkqQ4QEW8F2LlrNyuffhpVVVIBlLRXeS7+sf0HDrB06VIc2+HKK6/kHz/0IRYvXEjSZsY09LSqdX/vQT73L5+lbttkTBNN1ajVagS+SH9pqkYYhHjJrnIaPt9mIeLIBSZJ4+uaxvBICcs0WTB/Pv/0//4TL730UtGA3XUplUr0Hujli1/8Iq7vpcv084mETPQ6anWbyy67jKuuvpJDBw+Sz+XwAx/P9dixcwe7du0ExvrimnGxlMx9Gs/Lvr5DVKtiQx8hskNRFKXr32wUNSbRy6Tv6byeHuq2KEbSp6FwSlUVenrm0dHejoIyxmYQzoKlIkJ0UlA1Nd0sJMJyOjKsx8P4e5nr+Rw+fHhaisonI/AD4VeOi2rDIGTRokUsWLBgViwtuqFjGiae5+M4Dpqus379RmB2fczTRdML2oRVq1Zi23b8oWj48Y5jqpimKXbHisp1110HiJt6Mxqmj0VS5BYEARFw/32/ZXh4GBB/r+f5ccsmURwRhuFxdTno6uqiUqnw13/9bv7mb/4Gs2ERbmxjVS6V+JdbP83IyAi2bbNt2zbmzeuJvT2iV55hGqiaKszzQTCrkZITSdKuJ2LUHtKI47q0tY5aCXJZi7997/u45tqrRaQWBcM02LF9B7ff9nXCMMJ23eeVMm302SVocXP5195wI4sWL8YwTZLpRlnL4oEHHjhCPEfPQ0xLJDNB48Y4Eal+ENC7f79oX2To+L4vrqV4zZmNllZA2vc0QdM1jHhc7XQJDk1V6OjoBMTzpSPeZ7glGYy2jYqiCLtuYxg6ftq9ZnZIMo3JebB71864F+/k97ep0tjJQFVUFFVh3vx5dMeZtZmm8T3WNI3A9xkaHmL3nj1HPeZkZk4I2lrd5plt22htbaVeq1MoiBZe/jT49PL5vOhDq2tc8fKXA6Reo9nYoc8G4y/bMIz44+OPix68YUSYCEhVIWNlMAzRwoTjWNCDIODv3v/+0d6ycfoOxPNqqkLvwYN86UtfZv+BA6iqmE++aPFidu3eLZpahyF128ZzPbTYhjArBQsnARFC+OualtoNkihp8rklmyvT0KnbDkEo+ve+92/fy5vf9CaKLUXq9Tq5fI5Vq57m29/+FpZpTiiOxzNRJLXxU/eDgIxpUqvbdHZ28OY3vYn9+/bR0SEmFymqyj333svAwAARo83dT6XouuTkptH+kgRBPM/n8OBg+u/GYjBVFWNQj8dyNVVURUyoVBXR89t1XExDP8L3+3wJQjHAJZvLjtl0JoVKM02yjkdhhOM6JCPAZ/6ZBRGjA2OSs2Dv3r0oikItbi84kyRR8WQSnK7rtLa20dLS+rwCDs+VIAjwfA/d0Mlls+nmaffOnZMceXIy81fkO9/8/gAAIABJREFUFAnDicevNX7fNA02bdpErV4XfTLDENd1KRYKU+504DiiD217R0f6vaTZ/GyccLNBstNPfLQ/uPMH8cIZC9owSgWIE3dC0DSR/g+jkHw+LyojXZdCoUAQBLS3t+M4DrfeemuaGosYLQpK5qBHwE9//GN27twhisaCgHK5TCaTobWlRYwbZrTPrBBYYrk7Ho+T67mYholu6ITxhJeEZNyjZVmEYYjjOLS3t1Gr1qjV65imSblU5bxzz+NlL7uMc887j57uHnTDQNO0WRFlE/2FE0VJE8Y3Vr/xxhuxLItvfPObuK5LLpfjscce45xzzuGVr3xleh01+phrdZtc1krF9LFI3oMwCMhlLa66+hp+9etf09/XT8bKoADd3d08cP99vPuv3p1mAlzXQ8/O/PsnkUxGGI4OcMlaGeq2Q9bKsH7DBgzdwPd8slZWRBDjf8PsRDBt26FQLFAulzEMHS/ZEI67Zp8vyd+dy2bRdR3HcdA1URyUyWRwnenx6R4NcX8RXWuCIMB2bMIgwJuGv+25EIYRaELg//6xx9IJajNNYr0zDPHen33OOWStDEEYYZgmqlpDUVVcxxXDMSyLKIrwXA/DNKY82Khu27S1tVEqldB1HdMwQNfZuWsXV159dRpAmfl3Yno46cNcR7uhpu1Fwoif//znaXogqcw0dAM3Tl1MBc/zqNs211xzDbmsBYxt6zIXqNVtABzbpm47rF69BkVVjuv9y+fzHOw9SNaymD9vHtVqlWw2Sz6X5+ZbPk1XVxddnR0Mj5QIwyh9rkRIff/732P9xo2i2jJeyDRN7FSnIwLe2tqK53uUSqX4OcK0uKxQLGCaJmEQMDw8jKZp2LZDuVKhtbWVhQsX8tF/+ife/e6/4trrrufMM86gWCyQtTKYhj5tKb+Z5rLLXsYtN9+M7/nsffZZcvkcP/npTzl46BCqqlCr25iGTqUiqnpzWQvbdY9rEVMQUddCIQ+ICPzrb7pJpBIB1xPv/d69+8YUsSTXkkRyohl/j0k2abZtT/TwWcUwdGq1GrqmH2Ghmw7BN2pTyqYdZQxDx/M8HGf6RmgfC1VTyefzFPJiDanbdVEEPE1Fb8ci+eST97Jeq3F4YIAgDGfFwyoybRGqpmFZFqctXUqEiJyedeYZ6T0w6YCQWF2mY0onjLVUKijpAKmBgYH0vTme+8DJwkkvaBMaT62I0cbXQRBw7733jtlRBWGImTGnxUOraxqmaXL11Ven30uKcWb+dJ9dCsUCmzdtYueOneLvPo5OApWyEH8AI6USWUssjJ+6+WYWLZifRmSzWQvf91IhYxo6K1eu5KGHH2ZoaIhCoYBuGARhkDabdqdhQSuXy2RMk5aWFjKZDNlclra2NnRNZ2BgQHSxMAyKxSKtLS2Uy2XaWlu56aab+MT//CRXXHEFL3zhC8dsZsZP4DrZKRTynH/++bz5LW9m6bJlDAwcZmhwiDu+9S38OLIKoDWkUIPjLPoD8N3Rjc//z96bx8l1lne+37PWqa2rV+2LtWLJ1uZFMpaNNxljGwgQbHMnMJnJLFkgyUySSSYXnDuEMMwkN5kwA5P43hiSQIgTbJOAMQE72GBLMuBFq63NkixrV6+1nv3MH+95T1e1ZHdJXd0qif7p0x/1UufUqbM877P8nt+jKip3bNrE0mVLqdm24GUFAa+//jr79+1rkOuabgybRjtALtiyjC8lnNph0qAIssWERc/zqTnCyW6V7J105hVVwbbtWONbcISnglKhG0JBSI25wtVKFccWFaKpGl4kbbnr+Zw+c4ahwSHCIEyqgpOJiEg4kohrvWLFisQurlm9RvROxA3QqqomvSOapl1QU+9YGIaoOBimWOsVRcFxHI68+SY1e2oCmlbiknBowzBqMDpuHcdmZGSYYrEo+Jiahud5icJBK0rCqqaxfPlyspnMWbyl6DJZkGV5WQGee+4HqJoKioLehEMbhAH5fI6abeO6Lr29PXzuv34ucZKCUDQgpUwz4XqGYcSZ/n7++itfwfM8UmYKy7KQYuWyi7gVsiWaphGGEY7tUKvVqFareLFQejaTpauzE9dxKZVKDA+PkM/neeCBj7Bx4010dxbO2p/U6L1U6CbSOA4Oj/CBn/kZHrj/fhRFIZfP8tKLL/LM958BhFFPW6kkiyq1lptBLpdNFljT0FGAW9/1LkA0XGSzWUZGRnjllVca9B4vpyrHNC5NNCRKYgdBVRVGRopTIqw/HiJGh/soqsLgwBDQmimYMOrM1WybcrmcJBEaBP8n818U4flCScj3faq1KsPDUxtISBupaxpHDh+KG3CjKVE5iCIhBxcEAdVKlbnz5wNi3Vp25Ypk/VJiaTOZldVkY3YLEBFhGAaeLxIThmHQ39/P668fGGfL9sPEPYYpQL3RERGKmpR7t2zZQmdnJ9VqtcGBDYKgKY7leHBshw3rNyCi1tEbqBl+4aUA6YjUajZDI0VeevkVUmYKXdebKrllMhmGhoexLIvZs2fz3/7wD8nncwm1QFMVTN1IDGe1ZuP6Ho8/9hinTp1C1zQ836NULOHG/C0FBaIoGUk4EZjxg6qoCt3dXXQWCrieh+u6WGmLU6dP4/kenZ2dmCmTvr4+3vOeu+jr7Rlv15cEpJKEdM5v3HgT99xzD8ViiTmzZ/PtJ7/Nvn37Egddr7tWzUDeP5qmJdsFYcR116/nyiuvFEM5TBNd13n11dcSzpjr+S14OqcxjdZBqRuDOzg42JT9m2y4rksmncb3fUzTZHBoACBulp14QsWI+xt0VSObzZLJZLDixl/f89Fjwf3J+pKOmmkaZNJpcrkctaqgPrVKZ/ftEDFKN1BVhf2vH0iqu1MxWAJE8ODH/OFsNoemKmiqQl9vb9LgHkURqqYSIRI+itqaSXWeJxqtZTIwDAJyuRyu67Jj+7bxNm87TH5OvQUIggBNHT3UhO9iO3zvu9/D0HVq1SqZOKsURVHSlTpRpzZlpVizZg0KZ085agWHqV1gpVJ873vfFUMpFIW0laZYLGKl3p7raMdl5Uw6zec+9zks08RxXTJpK+HJqqqC70X4iPL2888/z1NPP013d3cyqcQPRVY9nUkL/VTPa0nJp1qrCaWKMOTMmX4A8vk8AENDQ5imyaIrFlGulDlx4gQHDx7Edl0M3WjgyAZhlAQ0iqImd9WlENR4vocWZ8cNQ+eDH/wQ5WKR5zZvxixXeOaZ77N8+fKkyeR8el1MQ0yU0VSFak00emmqQi6X5bZbb2XHjh24rkvKTHHq9CnK5Qq5XBaFqVkspjGNt0P901v/vI8MD0+ZNNfbwfM8OvJ5qrUauq7jxvSeVvH3tTjAdDzhPBaLRQzdIIwEh1TxW/M+bwVd13Fch5HhYpwVtZJkyFRIY9Z/uiCMOPj6IaEsEYZJA95kQmRdA3RNo6Ojo8GnMAydnu4e7FotCWikbyODgYkiCAJ0XU+yvUEYkkqJgGbP3n1Ctm6MY9/OTWIT9ximGPUOxIH9+zh27Bg9vT1JeTxJzUdC6mSiWLduLX0z+s76/eXizErJEl3T2LZtG6Zh4nouUdTc4IJ8Po/veTz4e79HNpOhXK6QlqOBoxAVDSemHNiuS61a46mnn8Z1XcHXiiLScQZCVZWE8B75UUuuoTSKspTW19fLiiuvJJ/vwLFtPvqxf4njuvzJn/wJ1WpV0B5C0fUs5a9ALiDjn492hOR7K4jyWmehgwc+8n+x//XXKRWLvPbaHg4cOMAVixYBItua0ALeYp/1sOOucCuVSt7H9XyuvfY6FsyfT3//gGg+q1Z59tlneO9733tJBALT+OlEGEaUy6UJ255WQNf0RBHG8zw0TeOVV7axbt3a8TZtCq7n43kuvb29XHPNOkqlMrquk05bhEF4XtWaC0HKNGOuprA42WyGXC57UZymEydPcOLkCcIgwEqlWpZUeTtouuBIFwoF5s+fj2Wlk0RQFEb09vZw7PgxPM/Dsqxk8EQYhi2h5CkoiSqUaZpJItCyLE6cOIHn+Q0V8XbH5F6tFqF+8ZPyGuVyhQMHDpDNZfE8j0KhQBiGiZSUoihCEHuC5PkN6zc08He1mEMJnDN6uRQRxJ/j1MmTyfjDclkYtvFQq9Z48PceZMaMmfhBMNrtHo7KmskRxJZp8uWHH+bAgQPMmjWLkZERoTaQy6FrGrbjJLO9Dd1oyfUzTJOB/gFWrlzJz/+rn+cdy5cThBHVSoV8XpRz8sDx48dQEBnnHdu3se6aazENHTdWXZCNgNDYlNjujlkYRqNOvecnU996env5rf/0n/jN3/gNPM/nbx95hAc/9akGJ75ZpK1UIvUlEUUhuVyWFSuuZOsLP8L3fDzP4/nnN3P3Pfe2THZoGtNoBeodqDAKkwE9UyHN9XYwU2Yy9tZxHLLZLDt3bmfturUtcfhE82+Gn/3QhxN7KFFvLyYLYz+DpFEocEG26ELgxM7c6ZOnKJfLaJpGoVCYEsqDoigJrWT+vHloqqAf+J6QypTrqWwGU1CSxulWZGg1TSOI/aZUKoXjONi2TT6fx7FtMRJX0xoq5O2Mibv4UwBd084q8+dyWTZv3oKCEJ72PT8hTEsJimacIddzyedz2I7oJLXSFjW7lvBV1l5zDa7nJ2XVelwOziyIKPnpp5+mZttYliUa64KAdDqNqqnoho7tCKmrQqFAtVYll8/iuA6f+Piv0N3dg6YK8f9EZiTOcNZzJd88eoxdu3ajaRrFYpF0Oo2VssS1CyNMwxTXMzZqvufj+R65fBZVVbAdGz8QmVzD0AWdQVOx0hZ6/LMe3x9hJJQuNE1j3bXX8MEPfpB3LF+eHFu98S6VyrznrruIENq0hc5OpHi5aeiCg4swsNWaLTKdUYiqKg2doH4QJJnNCGEohSxLI9z4804F6h1u2bAF4l5eMG8e999/P5qucfjwYQ6/8QZBEFwQN2+sDJd0on/u5z6WKB0A9A/0c/TYUeDyqXJM49KHwqh8oaxMNTveezIhebyyaXZ4eJidu3bz4x/9CBB2pt6WnG9GVdqHsc4sjNqLyfwaC8kfld9PBVKmieu6vPLKy6hxMsVz3ZY4jOPB93yymSwnT51i07vfDYCiqEkgsXTpMsrlMoWOjuR+lPdnMxXUZqAgVBMCX0wCNQ0Tx3YIw4innv5eg51u996HS2ZFkRIVMh3/8suvMDQ8NM5W40NTRUlc10UnabVapVAoUC6Xeec7bxATPDStrS/iRCAzEz/+yU9EE4Chk0lnMFNm0uWbzWZRVZWUlWJwcJBCRwdvHnmTj33sY6xZd81ZYv71MGLHMIpCnvz2EziuQ3GkSEehg7AJ4ysmtojZ5ZlMBqIIPwgIQ0FJ8H0/oS+oqkpHRwfz5s1jxZVXsmbNGq66+uqYwykcLLmt5H7Wajb5fI53v+duTp0+RbFY4szp07z80ousXr2GQ4cOsWz5chYvXoJp6InjJoOstJXC9XyKxWI8D310MEE9B8xxXTRNizMi4rEbm9W8GLj33veya9cuXnnlFR599Ov81m/+lshKqzq2605YOsdMpVi5YgWvvLINS7PwfZ9KfF/JZ3ka07hYqM/MyhHOYRiRy2ZFh3kLtD4ngkw6nfBn0+k0URhx/PhxXn7pJfpmzOSKhQtRVYVyuYKqaQ32RA6ImMbbI0I4tSdOnhzVeI2EnNZkI0JkYrNWllx2NKhw4z6OmTNnous6QTxqPiJKuLRTcW/u3v0ad911d4PcpsTFoIWMh0vGoZXwgwBT1dm6ZTPVSnXCUYqqqaNTsQJRauosFCgWi9x+2x3omnZZywuFcVln9+7daKqK7/lxI5eK67pkM2IKWFdXF5VKBU3TKFcqXHPttbz3ve9rMJhBGDVcDxlhR1HIsWPH+NGPfyzOdcrEMIxk6tjbwTRNavHUrlQqlcz5BpGJ7+zspFwuk0qlWLVqFXdu2sSKlVeRTlvJw1bvzCqKimmIvyiIzOLOnTt57BvfQNc0jh09yt987W8IgpDvfu8p0pZF6e/+jr6+PqyUxeLFi3j3XXexYP6CJIv7ne88ycwZM8jl81x1lXhvucBomtogWVZPU7nYziyIY7j3nns5dOgQr776Gq+++iorV64kggk7syAM4A033MDefftwHAfP8zh+/HjyHtOYxsVEFEYQ04l03Ujuyc66yZAXE7KbPQzCxNkqlUps37GDMAz5+Cc+weDwSKJiUq3ZpNMWrutOO7PnicOHD6MqYrRxGARTsu5LpYJCoUBHPp84ib4vpnZeccUiMckynmoZxk1btWpNNMtP0P8ZD/v376NYHGlYq9o5EdH2Dq08efXz6gFe27u3ZRczIkJRNTzXxjRMqrUavb09rF6zuu0ikFZDVRWGR4poqoqqaXieg+P6KKqKlbLESD7XSTorPc+jq6uLf/fv/33C76nPep4LuqaxdcsWfN/HcZ1kLG4zTV+maVKpCBkX13HxA59ULOcV+AGHDh3i+uuu58aNN7JmzVrmz5vbsH25XEnUL8aS2yWHc8uWzXz4Qx9iydJlnD59ilmzZiVln4GBQXbt2M7XHnmEZUuXct111+N7Ho7r8vRT3+Pxxx8nZaWoVmuUSiVuvvkmrr3mWm655RYeeeQRzpw+zfoNG9iwYQMwKtreLvdVBKxffz33HLybp55+mieeeIKVK1eOt9l54aqrVzFz5kwhD6br7N+/n02bNrWtUZzGTw8kNUqWumXA2d3VPSUZsPFQq9awUql4/KlDGIRkM1mq1So/eekl/sunP81v//bvJK/PpK2kCXcazUEBDh46TLFYxDTE5MgwjMZdm1oBVVGTUfH196Ls0cjlsnR0dDA8NIymqjhxj0krhio0A9dxz5Kvk83e7Wi9296hhdGslnRA9uzdy9DQUKKVNxEEQZCk8IMgIN+ZZ2BggOuvvb0tL1iroQDbt71CPt/BwOCAyFRHIZ7nYaZMbNuht6eHEydO0tXViaIo3H/ffSyYNy/Zh65pZwkAyEAkCCMGBwfZsnUrWtyVaddqhKGQHzGNtze8QTwkwzAMarVaMsGmUqkQRRHLli5l06Y7uP3224F4klfMeU2ZZuJ0w6ieseSdmYbOa6/t4ef/9S9g6gZDw8MsXLAgLtXF6g+6zqIlS/jCF76IaYjxsCdPnmDvnj2sXruW06dPc+DA63zi4/+CufMX0FXowHZdbNflIx/5SMNn8YMAx3ESB7sdIO/xd7/nbl586SXePHqUgcEherq7Wta01VnoYPHixezYsYNCocC+/fvbOsqfxk8vZJIkl8+3RVOYGtMgAj8gjEIMQ0846ZVKhb179vI7v/PbfOITn2DZ0mW4vodlmkSMqo9MY3z88z8/hWEYqJoqkjfxfTDZvQ6qJiqhM/p6iRiVKNXN0aFGs2bNolgsoqoie+wHAVEYJffGZELTNE4cO8bChQvrqDmtSSROBib/jEwQqqokDSVRFBKGEVu3bk30SyeKhCcTRaiqiq5pWCmLa6655u03vIywZetWgtCnWq1imCaZdFoMPPA8PN8jiiI6uzoZGBzklne9i02bNr1luThCUA+ks6KpCq+8/BInT56MDazF0NAwmWwGTR3/wXBcVxD1Y1k20xDBh+M49Pb08iu/8ivcdLOYSiXf14pL/LKRsL4xS8jU+EmmdsWKK5PS+g9/8CwguvYHh0eENmA+T1/fDI4fPwaIiDmby7Fq9Wry+Q4++rGP8bnP/VeuvvpqugodgBgHLPdZrdk4rpscSzaTSQzDVHTRNouuzgLvvvNOyqUSP/7Rj6jZTkucWXneV1x5ZdLYcub0GQaHJs5/n8Y0WoH6qo38LpO26OrqOvcGU4h0Oo3jujiug2EYGKYpBsN4Hul0mpSVIooiPvvZz/LY44+RMk3CUEzWnHZmm4MfBLz80stJaV9R4sbkKWgKA+GDLFy4qGH6mxnTX/wgYOGCBcnvhRaxmHQpE0STCT/w2bFzB3YdPVCelQtpHp5sTP4ZaQFkRJAyTU6cOsWLP3kx5rlM3KHVNC12jsVkqmq1yqLFi1m1ek1bXrBWw/V89u/fT7Vaw7Ks5KEyU6lEzHloeJh8Ps/iRYt43/vfL7aLnbEgdhblwycizFFD4AcBW3/0IzRVSyJKK20hlQrGg1SskDIlhqHj+z6ZTIZbb7uVxUuWJo6X7NCvz8ACVCoVHNdFQVBWktfXXd8IuPe97wMETUFy0o4dP86unTvJ5zsSp3T2rFlEUUh3Z4GUaSbd0XJ/vT3dOK4Yzyybw0xDjMsNwiiJ+tuhLCjPgOf5bNp0J7Nnz+GFH73QwFWeCOT99I4VK5k7dy5hGBIEAceOHh1ny2lMY+pQbwvk9wsWzH+rl08ZZIVK14SQfhjEkk0IzW7f8zl+/DiKovD1r3+dP/iDP+DU6VPj7XYadRgeHqFSrRJFEa4n+mlaNVp4PARBgGHoLFu+LGlAd+M+liCmPixbulSMBvZ8UZWO6X9T4XArKOza/SqO09jv4tYlhdoJl4RDWy/bNTTQz7Fjx0iZJpo+foZvPOhGHPGoCoZpUiqXuWLhgoZS9eWMUqlEpVIhCAK6u7qwbZuabaPrGooiuMuKonD69Gnuu+8+ZsyYCYw6Y1rcUKEgrlO9lJntugwNDbN3zx4UVSGTyVAql+np6aZcqjQlMZOyUiiqgu/7yTjCMAjp7u7mjk13JmR1PwgwDT05Hrk82a7L/v37ObB/P3YcuIxFtWYj9YWHRorJtXdcl/nz5rJ23Tp6urswDT3ZXtPEjG3X85OpaPWPd8o0k+Oof09pBNotWJIyaLfdeit79uwhn88lz9xEID97V6GDOXNmEwYhhmnQ339mnC2nMY3Jh3wO6x0YOdO+r/fsgTpTjXKlQjqdJt+Rx/O8RFoxk83gOiJTl0mL7zOZDLt27eLXf/3X+YuH/4KhkeJ4u58GYjpaJp3G9zw8zyOVShGEAbRgtOx48H0f3TCYP38BquRx+6OVRV3TmDFrtnBoAz9ed0Lh0E7B8aUzaU6fPk0Yv1cy3ryJtfti4JJwaGX50w8CtmzZghU7EK2YZRwGASlTkO5HRkbI5/OsX78h6f6/XPBWXKA3jxxB13UymQynzwgnI5vNUiyWyKTThFFErVbjXTffzMaNGxtu5CCMkhs8jL+XP1drNpZp8tWv/nWi8+e6wugWiyU0XUt4QGEkOjgjIqy0MNZhFIq/BYEQFldV0uk01UoVz/d48FMPYsTOc6VaTRxpmS3dt3cvX/nKV/jlX/xF/uRP/oTDhw+jMKq7WK+nV9/BKWkDQFK+kxndet6nAri+l7yvUIYQfxuuW0jq3xNGHe1z3Vtjr9Bk87dgdECEPJobb9rI/Hnz+fqjj54l0XIhMA0xnCIIIz7wMx+gUq1gGAYD/f1t59RP46cP8jmU6wsIdY9qzWbVqtVUa1XMlJnoWtuOjWHoREwNhzFlpnBsh2qlioKCrum4jotjOw2yYpqmiQyebmAaJs8+8wN+9eMfZ/Pmzbx59Ng5n7WxWWnX85tKMlxu2LFjOyMjxaQR2nYcrFRqSuyvZVnM6JuR2Nqa7TRIZEnN9FEnV6gcDPQPTAmXNQpFP42k48lGubSVakv7PflP5AQRIU5eBBRLZfbt20/asiiXyy0RPg7CkGwuS61WI5PJMGPGDObOmztlXYRThbdqwDlz5gxB7DRaloVpmnixrmsQBAR+wIwZM7jzzjvPahLSVCV5qCIaM7SplNBnfeONI3HGV8cwDDRNS0orZspMRhWnUikUFAYGBigWiyiKQq1WIwhDdE0niqeZ2I7NkiVL6ezqIp/PEYYR2UyGSrVKGEZk0haVapWHH36Yb37rWwwODbFh/fWsXbcuGbPYPzCYGIvxUP8aVVUSxx3Ewicb36QjDaIJyvV8KtUqdsyflY9+vYMbhFFCQQjDKCkx1b/fZENVlYZFLJvJcNPNN7F7924q1Wry+/ojiTg/B1dmznP5fPLMjpSKl1XAOI1LE/WLslLX1Z5KpZgzZw7pdJowFGos1WoV0zRRY5paK0aPTjZ+7/d+j4e/9DAvvfhiwxCYMIzwfC8JvmWFqr7C1ooKzaWAE8eOISdkGoaYTunHVIDJhqZpzJ49s+FnCWmXdcOku7sbMUQqHlykqedlgy8UQSAao08cPw6MVi+gfZR66tH2T6Rc4BVg984dHD9xnCAU2btWZGgBVFVFURQ81+Paa9bR3d1z2UwBe6soUzolR48dRVVVHNtB1zQ0VY2bpjRQFDzf413vupnly5ef8wGXN3VUFwBIfs2JE8cZHBggDENMwyCKIjxXNJq5jnCaFUURudkwJGWlSKfTmKZJPpcjk8kQBmHMKxLjH3Vd5+abbkoca1VVqFSrZDOZxDn74he+wEhxhHQ6zZIlS9h4083M6JsBiOCop0doTNY7oW8FmYWW51FVFRQl7jSNX2PbtSSqlg6q57lkMxmsmD+rnGNfUipIZnd1TUuc5qmE6wojJRewjRs3cuTIEfoHBs4ymhGjWd1mUO8wdHf3MKOvjyiKGBgYfJutpjGNqYemKg0VlBkz+liyZAlhEKBqqihHm0LWqV1LrmOxbNkydmzfzmc+8xke/NSnePLJ7zA8UkyaZzsLHUQIelWlWqVas5NnthVNoe2Oas1m34EDyc+qpuEHPmEYojUx+n2iCMOQxYuXiIozgvpVX9YPQ9Hbs2DBgmQdBNEc1oqm+PEgKpQmhw+/AYwGffXVynZC2zu09UbmhRdeIGWaFEeKdHd3t8SoaJpGtVIlk05Tq9W4ceNNyd+aX7bbF2/1GZT4S/KRgzDA83zCSAxHMEwDRVHo6+vjAz/zwaSpCs4duddr9knndtu2bQCJQoFjO6JUp4ixwmEQUq1WY76mR7lcxrIsiCKKpRKuIxrPVFXBcRxM06Sjo4N33ngjQJJBlLq0rudTLJU5fvw4juMQBAFLFi1i0ZIlCf/V9fykoU1u93bQ6hzNsb8BLY//AAAgAElEQVRTEFF0NpbhKpcriYOazWSS7Id8X3XMvt6K4yazvlMBaTDr0dPdw5IlSxgaGDwrMwuxU09zqD9vpqGzbt06wjBkaHBa5WAaFx9jqwQy8JS4aeNGEYQGIaZhCj1YzyNlpiYsGTkVqFardHR00Nvbw4mTJ/jKV77CZz/7B3znO/+UBPQKgl6VzWTIpC0838NuIwWWycTxY0c5eeIkpmkShqFwZDVNUDimYPRxrVZj/vwFDRU8mWBQFEHHS5kmixddgW7oic+j63pLmuLHg6ZraLrGmf4zDI0UGxJJ7Yi2d2hBdGC7ns/+AwcwTMFnkhIbE0YkSi9hFDFr9kzmzp07mnWcIqdiMjHWIRmb/Ttx/ASpVArDMIiICHxRavFcIdd1x+23N3B4gIbsdX3mUkI4yBEvvfQSQJL1DaOQtGVhWYJeAOLBvPvue7hh/fpEZDoIxcQ2yatFUZJsvKIoSdOWdCR1TaNmO4yMDPOb//E/cPjwG2TSaUzD4AM/++GEFzs0PIxp6ImkVzMl73rnXcjnjBp6SRUAEennclmCMEpe01nooFqzUeNynhLvQ0bg8rgk9aAezRxbK6Coo9zf+ozMvffcy4HXRzMXEeI5PF8o0FDqvPnmm1FVlXK5/NYbTWMaFxEKo3btuvUbME3BnbWsFK4jegFy+dwlQUvzPJ9KpYJtO1iWRTaX5dSpU/z93/8dv/Wbv8GTT36HM/39gLB1svfBMk3Olbi43HDo4CE830sUfjzXE/JohnHWQIHJQBAE9M0UlANp8SWtoL4/Y/GixQ1ZWZkUmmwoimhScxyHXTu2A+1NRWl7hzZCZFG3PP8cnutSKpbI5XLUarWWjKYLQyHU7zou77r55iSV7gdB20Yh54P6zxCGUcM5cz2f4ZFh/CAQ/Nk4k6qoKrZjM3PmTN5z9z2AcB7P9A8k+zzXTV3vLB8/fpzDhw4RxA9g/cMnylsV0QwWRtxx+x3cc++9LFiwAN/3iaKIjnyedJ2MmGEYuI5DsVhk+7ZtSXbTdl2OHj/O7/7uf+bXfvXXSKVS9M3o49ix4yxbvpy5s2cBsHffPj7/+T/l/T/zM/yLn/s5/uzPvkgzGOuoS3WHM/39/OiFrZw4eYI33nyTJ574JiDkzOo1cCUVIUKcb103EvmuUkk4dZJ6UN9kN1U4V9Y9AtasXcO+ffsaXqeqSkOQ1+yx1lODVq5cSTabxfV+OjJA02hvRIzShCQkBQigu7PA0qVLk795vhdTqMxLIuEhx4wDeK5LrVajVqtRKpcZGhrmq3/zVX7tV3+N//W//ieObZNJWwRhxHCcjZOl8MsVB14/IBQDEIkXP/BRVTUZXjHZKBQKgvZRFxypdY6srHzOnjcvUR6Koqkr98umbIBt214B2lfhAC6RSWFRFPL8lq0AOK5DZ2cntm2ja9qE+YZyMkgun2PjTTcnUZEfBJcNj1ZCodGBGRkZAUTZI51Ox/whMbDCNE1uv+120laKak0YukwmnexLPoD1D5YMBHRN48gbh5OMnmEY6GEUTyDzsW2bdDrN4sWLOXDgALbjMH/BQm545waeeabGkTeOkDLFlDJpWKRMlu/7fO+pp1i4dw+zZs1m965dvLJ9O7Zt47gOuXyegwcPUigUCMOI3/md/0wQBlTKZUaKRVKpFJZlUSgUaAZj74HhkSIHX3+dg4cOMtDfz5z583nzjTd47LHH+eY/fosFCxfyB5/5DKVSiV07ttPd08Os2bOpVCo8++wzvPDCC+TzHbz33nu55ZZbGBopJplaTVVwvQg5dS1iaoj3YRglz1LEaHY4m83QPzBIZ2chafirf9rqm2jeDtKpl8FiV1cXR44cOavJcBrTmGoETdj5TbffzpEjR6hUKknTjuM6U5IhmyhURUnK02EYocVqMXLUeblcJpvN8pOfvMjmLVtZvXo173//+7n6qqsAsQ5qaFNWMZpqvPHGEXRNF7TDbIaabRMEAYoiFCUmG4sWLSaTyYi1UhM234ynhEl7GYQRPV3daKqOqqpIua7miV8XjiAM0VTRW/P66wdxPb8t9NPfCpN/xSYIBVE2OfrmEVzPS7guCgqKqkI4sWjBMAwqlQqLFy9m3rz5SfaxnS/ahaI+O+t5LsWRYdLpdDJGOIoiPM9D13UKhQJ3xBPBUqlUwhWVzm39+QnCKMnghaFwyAYHB0lZYlCFgggcCMRrMukMS5Yu4aaNN6EoCuVyid6ebt73vvdTLpfp7+9H03XCqIZlpKjWagmv14osXn75ZXbu3EkYhqiqHB3Yx2AYsn//fvr6+nAdh31796DHygqnT5+mUCgkurq9Pb1NOYxyWITneuzfv5/v/NN32LplC7lcnnXr1vLQnz/EwYOvkzJN/CDg1KmT/OIv/SL9/f10dHTEzW7CoatUKvi+T7VS5eEvfYk///OH+Df/5hdYcdXVSSZ5LJ1jKhYSqeELJA121ZrNyhVXcfrUSVKmST6fAxrPVzPHJufKR4jsVso0yWWzhGGI57nTDu00LirGBmVjm13CMOKGd76TJ558kr1795LNZgmDgGosxN/ucFw34e0HYYgf0/S8OMFgWZZIDuk62WyWnTt2sn37dt7xjnewbu1a7r733thu6+PayksRA4Oi6lipVih0diTcWQUFwzRaQ2t8G8ydOyc5r5J2JpMLfhBgqoI3a6ZSqJoYfTvRJN75QvbTjIyIARRdcSNhO94PzaVYJhn15c5zNcNs3/YK5XIF0zCErJTnYabMlszZHhkZwbIsVq9e1bBAK9SJCNcdU/3RNVtyHQ8RYl/yPLTydq0/dpkxDUMhdbV//wH6z/Qzc8YMyuUymXRajFp0HB64//6E9ymboKBRs1VCU5XEWZZlqgOvHyAMQ6IowjBNfN/H9QR/tKu7i4//yse54447iKKI7dsFN0fXhKSXaZrCEVYUHNfF0A1SpolUo5DI5/NkMhmy2SzlSoVMJkOhUKBUKuF5QrC6GmvUWpZFpVKh0NlJpVJh1qxZKIyea1n+dz0/aYhwPTHTu1Qq8+nf/zT/40//B7t27aJQ6ARg06Y70XWNzs4CnicUGzzPo1qtkk6niSJRyqxVa9SqNfHZDKFtK9UbHn3sUV7dtYvhkSJBvJiGYZQMe6iXzpL3icRbcZnO9/6pdyolL9lKpbjt9tvYu28vuXzurOey2aY1GfgojDoPq1atplwutzUXaxo/HRgblL1VKXfD+vV0dXVRLpep2Ta5XK6hEbZdoSrCAQpDMV1MVdRENtHQDQI/EK8JwkTb1tANDr5+kMcee5x/+bGP8eUvPczrBw5QrdlnPbPSDjTrZI21YZMNeVwRo/QSiaeeeppatQZAR76DcqmCrulJ5rMVzqzUVtcNXayx2QyVaoWICN0Qij3Vmp1IG/q+lzQQm4ZOhFA+iKKQQqFANpulZteEjvt5W/rzh6aqgt4Zr8WnTp4Azm6ebBe0RXqkXntNGpggzk7ZrsvmzZvxAx9N16hUKqStNK7jJqXoiSCTyaCpKitXrEx+J523MIzwCeJMmZ48zJORVdI1LXkvN85ktSICOtc+pPNpOzYdhQ4GBgfJZrMMDg2hKAo93d0sf8eV59jyrVH/Pn4QMDg4BFFENpulVCwREdHb08NIschdd93FjBl9RMBHHniApcuXJ9d7167d6LrO4OAgM2fOxHEcyuUyuqcnMl65bJbbbruVD33ow5w6fYonv/0Ez2/eQrVaJZfLJbSC3t4+hgYHGBoeJpvNoigKx44dI5/Ps+6aa5Pjdj2ffD5HtWYTRWFDJhpg757XOHPmDJ7rkbJSmKbJwMAAj3/jccrlcqLeIMdRng8GB4f4+6//Pd/4xuNctXIl993/ADNm9JFJW7ieTzaToWY7RJHQ2JUNcIoqZHfOhfM7gnNDURWUUMU0U0n2vR7nw+EaG83PnDkT0zRx7BrUDbKYxjTaDbJid8emO3l52zYqlQpRJDSjW9HD0e7I5/M8++wPeOrpp5k/fz533HEHt91221k2UtqDcrmCqmlk0paoysTOmaKo4n9G11fbdd/ShrUKYRSioiX2R/oXruezZ8+rb71hCyEyvmIqaRiGiR57GIYYqVTDmqHEwYaEpMQoisrcOXM4evRoUk2V4+AnFcqo1nwQBOzft4/ly5ajqkpTFbqpRus9swuApgrupaZpSdYsCAI0Vac4PMLWF14gm80mXX5mysRxnAk7syC67GfNnMXVV18NcBavT9c0ovhtdu3cmWQJc/kctWoVJnhDlUslSqUyd965KXnQrbh8PR63qxmM5bjCqHNRijmlw8PD5HK5hHKwfsN65s+be1b57Vyod1ZkvOb7Yr64hOd7olsyCFi7Zg2b7rwz+Zs879IQ2o7g10pkMxksy6JYLOLYDtdedw333H0PK1eKACSXW8y/+8Vf4t73vh835tB2dXZiGEINQ1VUvvqVv+b733+GkZFhent7WX/9dWiqIhQINBUrVmUol0rMmNEnKCexlNXzzz/PD374QzGFxzRwXRff87EsS4yIzeUSVQNVU8/bwFipFJVKhZGREWq1Gh2dBa6/fj0LF16RDBRJW42yWvLnas3GSonRwOd614mUhaQTm4sztnI/MvCQz2kz+5dGWT6vi5YsIZPJUKlUxtlyGtO4uAhCMSnQNHQ23X47u3ftIpfLUSqVWqe008YYGRmho6ODgtHByRMnxcCab36TNatXs2zZMq7fcANd8SAZ3/cbRsYrNCZ/ZLVNrimtWN/Ggyzf169jcp3at39UxWWyoKAk43RFRtzHNMyYOhCSzWQbhhPVNyRKP0jazne84x08v3mzoF0G4XmvNRcC2SAnHeiXXn6Z2++4I6nktRvawqGFmC8om2HCKBHx37dvL+VSie7ubnzfx0pZRFK6QlMnbFBq1Rpr16w+59/qM7W1apWvfe1rDI8MMzw8TCaToVQqkZnghS10dOAHARtvuqmhnC9LReM5lOeD+hJZGEZxdtEmm8li2zb5vJgXftdd7wGaK13X8zwVRHa2XCoxODhIoVDAdV2y2ayQ4Yoi7v/IRxoc9kq1imGYiSH81KceRFFVspl0Uq4OwgjHcRLnU8L1fFzHIZfLsnjRFcnP9Q9bGEbcf/8DqKrKU08/jeO6/PC551myeCnvuvWW5D127tjBnz/0Z+i6wbKlS7jqqqvZsOEGHn30UU6cPEk2m026OyvVCr29vWiqiuO6CZdXUZSEZqEozWVr/SAgm81iWRaO4/DP//x9XnrxJa5edTU3bLiBQmcX+/buoVgssmDBAq5atSo5B+eif9SjGQ6uvMbnepUC5PL55D4MwihuBrywhUgeS1ehg458XgSE05hGG8PzPTTTpFKtcs2117F27Vp27doFiMV+outPu6O3pwfbcSiVy2iaRjaTpVwu89zzz/Pc88/z5JNPsmjxIt59512sWHFlQ9a2ZjsNwbigC/pJk9lUOLQwmqWFUY60pmlUp8D+qKqC48YOraGLjHU8MjmTTpPNjjq0YRihKOpogqiupB9FIUuWLSMMRIY3CALOncZoLSRPPIqEGtSB/QcolUrTDu1bwa+LQOovj8wAbd26lVw+j+u6VKtVLMuiZtu0auxgRMSGd74z+Vk60vWLuOM4+EHAmf4zRGGIoRvkc3kxjGGCWnUDg4PYtk0YBPiBoBw0O5a1WchM2th9VqtVbMehUChQLBbxXJcrV6xg9izRoNTMMZzLwenvP4MfN5d53qiu34033sjC+fOB0ciz/sEIwoie7i5qtpM4mrKpqN55k59HZk6A5LzpmpYIhmfSlsgy5rJoukZHPk9Pby87duzgL770MNu2b+PWW29j1+5dfPe73+VTn/wkV199NV/8whd49LFHefSxRxkZLhKGIb7vUyqV6OvrIwxDXNcVxlnTUDQFBUWM5w0jojASv2vCoQ3DkKGhIaIoIpVKEYYhJ06e5MTJk2zd+gIjIyP09vTg+T7Dw8MsWLCAe+6+hxs33niWURnrnI7/7uMjn8/juK6Y3T2matDs/usbb2QFpLO7G78FHPhpTGMyYcUNjdlMBsd1+YVf+AUefPBBqtVqohd6OeNMfz+GYZC2LAxTVEY9W9j2TCbDocOHGR4Z4Sc/fpHFSxZz/333cfXVVxOEEWlLjD8PoxAzzszKHotWVSCbQRhGiYKAXNOOHT82JYMTZAU3CkNQFPzAw1QNwiBg9ty5glqojk6HrLepEaO2MwwjZvTNwIrtcBRFaLo26QFV4Iv3CgMx4GGkWKS/v59ZM2cm1bp2Qmu8whagwZmNT9LBgwfZtXt3kukTNARxyKqiJvpxE8HixUtYuGBB0nwjj0MS1zVVIZO26Cx0xAoLEUEY0D/QT//AAI7jTOgrlUqRSWcwUyk0TcM09JaTresJ+4nTowqSt67rybzmSrXKhvXrAfH5m7lVxzZGqIrK8ePHMVMpkalEEdNQFizgwz/74eR19SoJEeL9VFVMhZOKATDKr46A06fPUIlVEwDO9A+IUlcwqhmsxterXk8xCCM+9KGf5fP/83/x67/+H3jvvffS3dXF9u07+NtH/pYf/uAHPPDA/Qlv+F987F/iuh6nTp1GURVy2SxaXCKS72Pbgq6g6SIYU7W4+SIKYwqAyNaOh2w2i6ELh9+yLCzLIp1OJ12lqVSKU6dP49gOc+bMYXBwkC996Ut87Wt/Q7Vmn9VgUX+tm+H4Kby9Y5rv6GigBjQT5NQj4txqCLNnzkDXp2ZBm8Y0JoKhYSFvmDJNZs2cyT13300YhBc0aORSQ09PD7om1oZSsYSiKAklrFgsMnv2rMQWHnz9IP/l05/mv/33/87hQwcBkXSQQYGEqipnrRtTgSTzCfzohRemZHACxNXWKELKbUlt9pUrVjTYaIVRmy2TNvW0StM06e3rE1neKTp/crJnGIWomoZhGBw6KK5tO+rRTtwjnCDkhZE3vOz0Bnj55ZdxHRfDELIR2UyGIBBDADzPayoDNh5uu+UWAAyjkZwuM7VunIXzfSEurGoquVSOWrVGOjfK9bxQyKxzFIWjD1yc9WxVFFufRZVlaAVRRjAMA8dxUFCYP28eq1atTl7XTGX5XA7O0aNHSVtpvDgIyWQz3LxxI/l8LpGFgtEuSS0uASWZRVXBj/VYdU1LIsEZM/oAki7Qvt6eBh5ntWbjui6FQocwBqpCZ9x0JN+zu7ubD9//AD/30Y9i2w5hGHL40CG6ujqTa95V6OBf/fzP841/+AdOnjhJEBP5M+kM1WpNyKiYZnIfAhCJqWaKEmdrEZq54xke3/cxUya6ruPHWVgQmdHOQkFwmFSVSrWKfULI66iqyg+e/SFbNm/hj/7fP050YsdzTi8E6XRGcI97uhuCC2juvca+RmZo5s6dhznJDSHTmEYrkMtmE1schBF333sv+/fvZ/uOHeNtesmjXC6jKErSiOTHJXOpmDA0JKQfXVdMUDNNkx07dnDs2DGuWrmCn/3wfRQKnQ2Z2VZXIN8OYRidtYY6rsuWLVta4j+Mi0jQJ6Uik6wsa5rG6tWrG2gF0pltSErEPxvx+Zs3dw5HjhzB0CZfUgxAQUHTNXzHF9VW3WD7jp28733vm7JreD64+A5tfFJkE1gQBKiqju267N27D8tKUSkLQeuUZTE4OEhnZyfFopgUNVEeyfUbNjTocErDJfcqf++GghTtuUILNwhFVtOuTSzK01QN0zSp1WzCuEwjS7utcGbHQp5nCdmxC7B69Wq6e7oBJjTWcWh4iJSVSozhvHnzuPXW2wAanNmxmTtZjpb0AWgccCH1bpNrEr/ecV0iSDKzMEoZkdsn1BZVobuz0HAshUIhkUiR2y1bvpyjR4/S2dnJ0NAQuq4LDpjrkbYs9Fi/eKyUmKaqoCgEQSCcVePtnbYoDBMKjaEbcbbeJApDzvT3CwdWUclmMqiaFk9uESLciqpSLBbJZDLoaXGOmsnKng+EGsHozHcQ5yiKwvO6P+uvtx8EdHV1YaYam92mMY12g2wKk1UkTdOwTJP7H3iAPXv34jqX98Q7VVGTQF+M7fYxVQMtrq6kU2mKxSKGbtDd3Y3nulRrNQYGBvjxT16kZttsumMTq1atEmt9XVJvKgar1DfMSkfRdz0OHz5Md3c3Tt1Y7slAEIbxYAtPVJVjm6kbBosWLW5IDiiIZIH8naqKyYxhFKIjBgx1d/cgJoWpTSVMJgpVFYM5HMcRAYthcCjOvreiKb/VmNyz0QQk39E0RmWxFGB4aIhDhw4mPEUQDVxpK41jO2TSmaac2TAKYydZEY4CEX7gk86k6e7pprPQ0bAwn2uRDsMoOQbDEE6slUpN2JkFcVO4joNpmklXe6uHOsjPFNH4+WRJ3DRNoiji+uuvb1BaaEYntD6alKX/crnC4OAgXZ2d2DWb++67ryGas10XTVUatq13VOtfW3+8mqo0/E2+PmWaZ8m/yNclBuQtHr4IsR+pPStL+GEEiqJQq9awUha6pifasWEY4TouuiacTaXuXxgKvpGCMq4zC+L8pUzRASvhOoKfm7bSGLqRvKfv+Q33ouu4/M3ffDWh3gRhRKU8Sg+Q0b+8jjIjLlUZ6s//WyGVSlGt1pKsODTqEjeLejk+XdNIpVLJiMdpTKNdIe9b+dxJ69PX18cnP/lJ/MCnoyNPtVbFcZ3k+zAKscZp2rxU4Hl+UubWNZFwkBlH13GxUpZosqpU8TxfKBkoKq7j8tKLL/M//vRP2bx5M8BZ9vtcFigMo6bWnmagMGr/VFUhjEIOHTpIb28vtVrt7TduAQzDSJIOhqEzNDQsmuuyWUxDb6iqhWHcfxH/LgrFqHpd03A9nygKWbx4MZqqJQOQpgKlUinxEQzTxLZtdu3e3YT3NfW46A6tzKjJSFje8D989tmkw24iCEPhhCiqiu95+L5PGIY4ts177713vM0vK9TfgBEQxt34juNgWRbzFiwESJy7ZqJnyXuFUYkU2Q07PDLC2mvWMaNvRuM2Y2gmFxMKgptrmWbiVJ/p7xeat01wYC82du7cyWc+8/u88so2AHK5bEOmGUavo6QzyIDpfEpG5/Pat4OC2JdhmKStiVN2pjGNyYS0UZKmJZHJZJg9ew4f/ehHefPNo2TSGWbPns2ePXtYuHAhHR15BgYGzrXLnyq4nujT+PJf/iXf+973hARU8jc/Oad+IAYLRQj70Mza0yzqM4mqovLGG2/guu7UUA4QNIPA9wmjiEw2Q4TgJjez/snqqaoqGLqRjGzX4gztVEA6zlEkaHSu63L40KGW9/q0AhfdoYVG3qymaYLjsnVrSy6YaYjMVxSGuJ6XTJxSNY3b77hjnK0vXzRwdxSFVauuTkbanW8Zw3VHy24y+5eyUriuy2233JJwX+sdX5Dc3ouP3t7ehp/7enupVqsTlmSbClipFIEf0NvXl/C8o1DMkBlrcLq7u4DRjIXjjl8uVWDChr/+KCQlIp22yOVy595gGtNoE7xVFUNBJGPee++93HPP3Vhpi1OnTrF8+XIOHz583jb0coUcre66Ll/68pf5u0ceQaFxzQexJpiG3tBo16qJYmOpbbt2754yqkgYUw6CMCTwAzLpNJ7nMW/evKaaCuX9JwdT9PT2Yhg6qqZNSVNWGEaJQ6soSiKZ+tprr7WdwgG0gUMbMRr9hnG6/dTp0wwODeG53jhbjw8zJTipfiDkJzIZQVVYsmTJeZdNL1Wcy6EAwd8N/IBUKsWdm94NiCY1GR034/AA6HXlcsMQfBvf91kwfz7XxBO5zrUstAMHp1KtoqpKw1jHM/39PPXdf0qGK7Q7anaNHTu2N2RebbuGpoopRzXbIWI0Q19P1RgPSkzzGDvz/kIhjyGVTp81MGIa02g3jK1MBGF0VqD4y7/8y1xxxRVk0mmGR0bI5/OcOn2anp4eftrh+36SVfQ8j2898QSPPvZYQlvyg+CstUE6sq1enyPAdhwOHzqEnOw42ZAKQmEQ4gc+qqbhui6Lr7hivE0bIJM/Xd3d5HK5KaMbyEbnMBBDiohVLo6fODHephcFrVmlJoD6KEU2Ir30k5+IbvEWRAAi1S+iJFle9wOfG9/5zpZFgO2O6BxZBqWurKMoCmvWrBZNV3WOS7MOp6YqiaHXNQ27ZouJY+uvJ58fzcLJqymv88Sv7sSRzWTwg4BM2kqO66GHHuJbTzyB40xuw0BLoCj09PTy9a9/nf/4G7/BI488QrlcSRreTENPGg1dz29YjJspGMkMbauvVX0QNI1ptCvG3veSxy/tnSyVf/KTn2TuvHmivBwEQmryUrAfkwxN0xgZGcH3fWbNFBJfTzzxBD949llAOK1enV0yDH1SsttS4/3kyZMMj4yga1PjEIZBmEiNykZhRVGYO29e0mz3dhj7GlM3mDN3LoqiNL0+TwQKCpFU8FGFY2uaJqVSKel/aie0/s45T0hiuOv5ScT23PPP4/t+SyK0mm2jaUI/TVVVhkdG6OzsZMOGG6bkhmhXKEDaEoMHurpEKTqIHbsgjIRGbRPnRzpFQRA0lEA6OvJsuGF0YMXYhaEZZ2qq4MaVAMs0eWHrVvbt3Tsqx9Xm0FSV/fv3cfLECVzHJZVK8aef/zx/+Id/yEMPPcSuXbuQ0jWmoVMqlZJtmyl5tRryurcL3WQa0xgP4ZisrEIsNRhnGaWd/N3f/V3WrlmDZQn6wTRAaq9mMhn6B/rp6upC0zS+/Fd/xXPPPQcIHyAIAhzXTTj2zTSsng9kT8HePXsAEpWGyUaDzqyi4Ps+HR0dzJw5q6kkQVK5VlRRZVMVFi+6QjS6T4LjPxa6IeQkFcSgID/wCXyfWq3Gj1/YOt7mU47JPyNNoL6BZdfOXRw9erSlGmtyYpWu64RhyHXXXkMul23qhrqcYaZSBGHIO995Q4OEiu97551BE0GD2D6dzbB40WIWL14MjHI2gQvi6E4mXM8nk7awXZfNmzfzjX/4R3K5HL29vZeETubxlQ4AACAASURBVGrNFtq0V1xxBSMjI/zghz/k1Vd389prr/GTF1/kC1/4Al/96l+zd98+ADry+WTb82m8mEi1pH5LWS0IWsCPn8Y0pgLjuVaqqlCr2WQzGf7Tb/82CxYuZO7cueNs9dOBYrHElVdeSf+Z/kRDXjan/u3f/i2vvvoqMKpPLeH5rUkoyD2qMa3x1Vd3o2t6knWcbOi6HtMqBBdVU1Vmz55NLp9r+t2ToUOhUEFYsmTplHGAFQRVRNO1ZOSu5/mEQchzsXJFO6EtPAsZ6UbAa6/tFtqsKbMllIBUKoWmqlSrVXRdJ5/Lc9111xPRnGzR5Qwp5n/zze/C80YfEEM3Ev7leFAY1RiVjksum2HevLnJz2Ozcara+hL2hUJWCHZu38FDDz1E/0A/x44fp1wuXxIqB9lslsHBwWSE8ZEjR8hmswwNDWPXbIqlEj/44XN8+9tPMDg8kgSOQyPFcfY8ORjN6Lf/uZ3GNKDRXkWMlq9hNFjPpC3K5QoK8P88+CDXrFuL0qLx7Jcyunu62bVrF4XOQmKr0laaWq2G47r8/de/zunTZwAIw7P5tBOFrBrKLPobR44kI2NboaI0HmQSLYpih1bT6O3pjh3F8dfXCEHRq6frzZo9Gz/wp8QhjyDWu1WSoT4gElj74yRJO6GtnjgF2LL1BSwr1bIIxPM8IsQFKJfLqKrCVatWUSlXWiZF1M6IGC3hyKY7EPq/C+YvoKurk9mzZpHNCDkRabCheVK+5NAC1GyHbDrTQDeobz5qtzMuhzV093QThCGe6yKmc2ktUdmYbDi2QzaTxfd8RkZGyKQz1Kq1REFA1zQqlQrFYomH////j0/86q/yxS98gXKpdE7ZFckJDOoW7M5uYYDtJpsE6yH3I/+Xz9zpk+3ZVDCNaYyFLIPL73VNS36ut5HpOlWUD9/3AL/8S78kZKsMHVVTcT1XZOpiecowEqO05QhtVRUTBiMiVE1timPZ7nAdl2wmS+AHBP5omdzQDRzbYf/+/XzrW98ERD+DXB9a0RAOjUmrM/0DlIpFfN9PhhdNNiqVCmnLEkpAUYSm66xYsbLpoRJK/CWztKqi0lHoTKQ2Jxu+55PNZPE8H7tmN+ilh2HEiZMn33LbiyHrNf4ZnQJEiIu2bdt2arUaxVKJXC5HFEUTph7IB8iyLFzHZcP69WLyUi47zpaXB+odyAaZFF2n0NnJrNlzznrthRhS6TSbpsn169ezcOHCJHPbztBUhTP9A/zDN75BGITk8zmhWez7eK53yfOsM5kMzvAwx44dQ1EUjh07xpkzZzh0+A0c12H5sqVcddXVrFq9ht7eHmHk6z6yrmlYKSv5/nwx9uqH8p6YoBTYNKbRDqhfsutHjPf2dJPNruPXf+3X+PaT32Hfvr1CBjCKqFTE5EstbohSVKVBGk/qffq0Fz1rMhBFEdt37GDfvn3Mnj2HfD6H47rkWrQ+ywqcAry6e5eYlKlpYkJmKAbgTCZURUVRVVRV/G/XbDo7u84rmaZpWsKhjQBdVeno6MC7gARDq3H44EFmz5qVnON6XIy1vy2eFlkW2Pz8cwS+j+u4GMb5cTjfChERYRCIedSmwS233gq0X6ZwqmEaOrPnzOHK5csbqB3yxgzCqCnepDTo8pWaqnDV1avQNe2i3NAXgpHhIX743HO4nku5VMH3faIoInUZyEqVymV836dUKmHbNh35DlKmSf9APydPnuSll1/hi//7f/PZz/4BTz/1NNWaTYTItNuui6oqZLNicbmQxfUs2aO4XGsYRksoRdOYxsVEvY1TFLXhnk5bKTZu3Mgv/Ot/xdq160SFUNPo7OwERFLBMI2kFK1pWjJi2zTNpmT1LnVEYcSxY8f4zneeHNUwN02CsHUF9SgUk8defPFFEUBMYTCtasJmyhHpNbvGrDmzgfG52RJaXBEIgkBUCAyDBQsWNC2rOZnYsXMHIOx6s59nMnH+K9QkQI0NwYGDB1E1jXQmTRiGLSk7yAW0VqtRKBRYufKqhNN5MVLi7QD5uWfM6GPZsmVJ9Ad1TTvxwzMepIi/pDaAyPBeSme2u7ePVatWiYEKtWp8z4RNff52RxAEYsyiaRIGIUbcfBGGIZ2dnbiuUEY4fOgwf/lXf8mjX/+7eOzu6DheqRdbf03P99mR51KUVSGby/3Uc9incXlBU4WUkuv5CbfW9XyWLl3Kpz75f/Nv/82/xfM8BgcH6ewsUK1WhQpA/OX7PrZtU61WcWynKY7lpQ7DFDbmlW3b2bvntUmxCaqqEEUhr7/+OooqZKjCcFROa7JR34thGAYzZ8yIfz/+Z5U0QYXR5nnTNFm+bNl4m04JXtuzN/m+Xh60mc82GZiaKzoOVFVh3969DA8NxZzADK4j+EatgKoKuYylSxajqqP6bZdKBrHVkA59yjTJ5nINDV3ne8YV9eyizYVk8i4WXM+nu7PABz/wAWbOmkU6nSafz2MaBpVqdbzN2x6qqibVDtdzcVyXml2jXC7jui6u69LT08Ps2bMolUr88/ef4fHHHmVgcAhNVajZo1qa9ddZ4fzvFRDZBk1V6OnpuSAKwzSm0W6ofw4URPVL8iPl/2EYcc89d/PHf/zHXHXVVezbu4+Ojg6R0Y01RU3TxNBFxlbV1PMqS1+qkI1GCvDEE99GVRUc12352lyt2dRqNTGePQgJwxB1CuyPdJ5BOLbz5s5LMu/NTPqKxvwPwm9ZuXJlW2Twz5w5Q//AYJJFvthoC8/Ddl1+9OMfU7NtqjXhRIRRmIytnQg0TQNFobu7m7Vr1gIkigo/rZDDE1zP5/QYvcSEOnCeD7ss68BoV/CFNBFNNUxDT4771KmTQqJEVbHS6SktTU0WojDCtm1s20ZVVXK5HF1dXUnTWD6X49ixY5w6fZru7m6iKOJbTzzB5z//pzz++OPs2L4t2Ve9wTpf4yXpK3KrQqHzvPcxjWm0I2T27O0gHbWOjgK//+lP80d/9EeEQUAURniuh+O6+J6PbuhYlkUqlUJvwfrX7nAch2w2S822OXjoIFu3bEn+1grrICtJBw/sTxzYqbY7YSC4umEQcvWqq4Dmkz4ycRCFo9KmYRixfPk7SE1BU9h4CIKAvXtea7hWslp7MXys5s7qJKO/v5/t27eLMkBMlNdjR3SiUFDwXI8rrriC1euuqfv9Ty9k9FsqlXjtNaEDKG8+2dzVbIQsywz1lIMjR48CzT+0Fxu7du7kO//0XU6dOg3A0PCw4NC2QQQ8URiG0FzU1LgJxXVxHQfHcRgZHkFRVQodHaTMFOVyGUVRKHR0cOTIER7+0pf4/jPP0D8wmOxvrMB8sxib0W2mw3ca07hUoKoKfhAk3M+IxmfFDwJSpkkmbeF6PgsWLuTPH3qIm27ayJKlS9B1nXK5nHDdbdumXC6/5ftdLpByVtVqlWw2yz/84zcT2kYroMWO1cuvvEwYiOENejxkyW/Re7wdFCUeHa4KBYvrrr0O1/NRVaUpx1qux34QJIko23HI53NtUeEyTZNdu3Y1/E76BOMFeZOBi+5xRMDw4CAnT55E13Vy2Wwy83iiCgcAERGu5zJnzhy6Ch0Nf7sYJ7ydUKlWOHToDaCR/3I+zTpyq3oZlB3bt1OznUvCaanZDvv27WXr1i10FgrMmT2baqVKrVo7r/PQrpCfwbJSmIaB63m4nkc6naazq5NqtYrn+VhWinwuh+d59A8M4Hkes2fP5qWXXuLM6dPJs+JOIOteH/zA9PM3jUsf9ZQc2QirIAI4LXZy5d8iSOSa+np7SZkmH//4x/nIRz7Ctddew4yZM8hms1iWlUy2vNyRyWQYGRmhu7ubMAx548gbnDlzRkwPa5F9+D/svXmcHGd57/utvXqbnlWjkUaSJdmWjSRjbAlbsi3Luw1eEswO2YBAOCfrzTU595D7OeSSQAJZsIlJ4JBAWAwJ+BACBnkF79ZiS5YsS6N9l2af6bX2un+8VTU92mbs6ZFs1D99+jOanq7q7lre93mf5/f8fpZl07N9B67rJQZLiqLg+WcgoEUCSUqSOwsWnp9ovk824XO8jrsVWSq/ESqIuq5z6PDhk2Zjz4Yb5OSO6BRR6/l7/KpVAn744IPomoau69iOQ8o0KRaLSYfg6RC/JggDgjAgPO6fpmmEYci1165OVn3Ha2KeC4hXejAWSAwPDnHk6JETLsbXItsVZ3LjYDYIQl7dupW+vt5xGqTHBy+T9YGufV3tPmzHGbeKP1nwGR73/F989rP83/fcw1989rOJLezXv/ZVevt6WbJ4CaVymaHhYWZ3z8JxhdKGZVsJn8313OQaC8IAWZFxPZdUOoVhGli2RdWqomoqmqYmA2ZssxhEN7jrubieK3zLZYlKtYIsSximES3mZAzTqItbjizJyJIcDeYeqqKiKiqe6+G5nuC0qgqO6yauY6ZpEvgB5VKZ1tZWNry4PtlfLEb+eoLR+H6Tjvu9gQberIgbJk+F2iyaxImVCc/3WbJ4MX/0h3/En/3Zn3HtqlWkzBSO7Qh5KYRuraKKACwIRWOnpgm72NHRERQ1aqQOA3zfxzANdEPHsic3xp5NCBmrZsrlMrIsk06n+erXvgbULyAaGBigr69XHEdFwXEcVFU9I8YKsiJj2zaaptLR0UEYBmTSaSzHISTqQTnNIwiEbXkQBijR763NeRzXY87cuYQIKkI8R8WPkPCMBOye57F///5xfGBZFqZMZyODPHHEWAcYxthNXzuFSZJM/8AApWIJPxBE7ZhAPVkOZ+CLAEOShJafhIQiyyiyjIREtVpl4cKFZDOZJFA716fRmM/oug6+77P1lVeQ5DFnsNd6fGLRZxgLItevX58Eu0p0kwXBWJtfKjU5/o9hGASB8FKvDYAMXU8mh5AxXjCMBVsSYkJxXI+f/vSnhGHIVStXMqOtjb179/HXf/039A8Ocv111zNjRgednZ14nsfQ0DCmIUrwra2tAPhBILhtuj7WHRvREorFIoVCgVw2y6xZs1AUBcsaE76ODRp0XReTkapFEi4WZirFjI4ObMfBsiwymQy2bVMulxO5rOmEogjjBRDZEtdxcR0XwzTQdI3BwUEy6Uxy7FVVHHNZluqWQWmggXMVqqIkZiYLFyzgox/9KJ/5i8/wvve/jwsXLcI0TVzXxbZtdE00jIlekyqyInP+BRfgui79ff3IkoxpGlTKFWzbpqO9faK3P+sIwgDHcZAkCcd2IirUCEMjo+PG9Kng6JEjiWuboih4rkcYBJPOkE4FcQOa7Ti4jkvgBziuh6nrgg4RhKd9nLC/KMiXZYn29rZof+L6sGwbx3VFEKyq4+Ku6YKEqNpt376dkLG592wEs3CGjBVq+ZhxYCPLEoossX7deoZHhsVqqaYjMJ44J0JygqUTu0JlWaT6V11zDR0zOpJATZJFKehsHfSzhfj2iI+DbdsEfsDzLzzPkiVLTnh9fJ4mQjwwxK+XZZkXXniBd99997jXSbKEG5XcJCa3/5gDJSPKdXGX/PGIn/GDEN/30WU14R3pmsrSt76VJUuXct68ecBY5ra/v5+umTNZunQp+/bv56//+vN4nk/vsV7a2tvo6+3DTJmkTBM/CHA8j1QqhRoEDA0OISsyra2t+J5HuVKhWCqJblpVJd/cxGC5TDaTQVYUhoeHsW2bzs5OWjItDA8N09OznfnzF6CqKhISliWyKrlcjkKhMM6ZZVoQhoJjqyjIskxImEycw8PD5PN55s6dm7y8Nns/WZ51Aw00cGocb2bS2trGHXfcyV133cWe3bt5+umnWb9+A5VKGVlRkmxYOp1m7569tLW3kW9qolwu47gumWwG13U5fOQITbnxNLs3IjzPQ9M0fN/HD3xGhofZ9NKLXH/99RNtOins3LkDSZIIggBVUSPNVHlSFeCpQlEV0moaWZJYsGA+uVw2aZauWjb6BH0aEuN7D4IgxAk8NE3lvHnzMcznCHwfP4qbYs0h3/NFou81p6deOxzHYeNLL7Fk8WIcz8XQ9Qnn9enCtJ/ROOtXW6KsFezfvGUzlXJl3GophEReYyKEQZgQr4EomxckD4Cll1wyPjPM6yuZvtlRW8IJAdcRZa2tr2wFXhvVoBbxsU+ysGHI4UOHeWWr2G/ImMVsbcltMiV1y3GSc1dr1lB79mpv+trSx/DwMGEYUCyWmDdnDvPmzUvOe9x42DVzJgADg0OcN28et7/zdhzHoaW1BVmWmTWrC1VRsR2RzQ78AN/z0DWNpqYc6VQaVRWNjGEYks/naWtrQ9M0qlWLdDotBtAwJN/UREtzC5IkUalUKJVKXHzRxUhApVIRZUVPBO25XI5KlDmdTriuRy6XQ45cbFRFTRxtVFVl1aprWLxkafJ6ibF7uoEGGpgaag0E4uafONkjAfPnL+C3fvu3uf/+f+SrX/vf/NZv/ibz5p2H53mUiiWaW5oZGBjg0KFD+EGApmkUi8Vk4fxGh6oI1y7TNBPHNMuy2bZt20SbThp79+0j8H1cx0V9nXPc60W1WsWxHYqlEosWLQLGEkAx5WyiRxiEJ2STJWDh+ecD4rqRkNA0Ldmn7/u47sTz61QRRLSNXbt3A+Mr62cjxpr2s5sEmmGAhILEWDZtYHCIA/v3C4kuVaxU4pWUJMsEvjthWUDooI4Fs0EoUvwSgoOSzzfR3NySlKzjDOG5lJ0NOZFGEEaDp27oDAwMMjQySmtzHiCxrJ3sKis+7qqiYNs2tuMgyRKPPPIwSxYvRkIEmoosLrd4/+okso9mzQrWiQLgb33zm+zevYd0NsN/++Qn6WhvT76fUpPBOHb0KN//3gMMjYxyy003ceWVVyaLqVru2/BogXvv/RIzZ8zgdz/xe/QPDPDYY49RrVYpl8uYpsnyy5Zx/XXXM2fuPIIwxNA1Muk0e/buY/Pml3nyySc5dvQYmqaia1oiku66Ls3NzVy1ciW3vuOdzO6aieU4BH5AOmVy+OgxXtqwnh//139RLpVpamqiUqkwODhIUz7PdCMkTMqUnu+RMk2Gh0fIZDOsXrWKm26+lZRpJNluRRYi5Se7phpooIHXhniBnoy5Uao2BLEgTpl4vjAH0jWVVatWccWVV9I/MEBxtMCTT/6CXbv2cPTYUbSoDyUIAmzbplKpnJEM3ZQQNTYpipLMyWEQsm//firR958KHNejt7c3KsUHyLLIzCqyHI1p03t8mpubCYKAQqHAxRdfDIzR4GJb3okQhMG4uThOTHV1dSVza8yvVlVhnCMr8qRpm1NBnF0fGho6oeo9me9Wb0x7QBt/QUkS4snxjQuw8cUXKZVK4w68LMkEfjDpckCSnZVEni4IAsJQnFBVUbjq6qtorlE3iN9rMrauvyo41TeVI4/pIAzGlXhe65GRZQnXERezqqqEQUAmk2HTppeTQLn2hnQch5RpTKpkHfNuPc/F1HUqVYuXNr5EpVwBSWLrli2svu66ZP8isyHO8dDQEGvWPIwSfaZFF7+FlnwTR48dG+c/rWsqvh+w5uFH+O+///t86EMfpr+vj5c2bqSpqYl33303q1avJgxCjhw5TH9fH1a1iqbrvPWtl3LnHXeyZPFifvSjH/H0M88gSzLNLc1J5uHDH/oQ119/PZbjsGPHDkZGRgFIZ9LM6JjBHXfcQWtrK//2rW/heR6qqjI0OMTs7lmUitObpZVlGccRygfxvSErMhcuWsR73/8B2lpbAEHR0FVxTxq6juOKstfEZ7CBBhqYCIosOOmu5yJBIvHlB+E4SoIfCN5+96xZMGsWC88/n1K5zOaNL/HLp55i586dAJimiW3bqMq0T/FTQlyFdR1HZBolCUmR6O/vZ/eunSxdOlYdej3YsaOHSkW4P8qyTBi7dkki81lL9ZgOjIyMIEkSuVyOrlmzE5qdUxEqQCfjydYibgyrjZFibrFpGnR1zWJoeJBCoSiSVJ5HLH+qauq0S5PFsmuWZbF7924WXXhh8rezMTecsas9/nJidaEIM4X16/ADkdnzPV906imyuPgmGdAeDwnR8ScacDRuvfUd4/5eG0Sda1mmWpK9LEuoqprImDz1zDOsuvZaVOX1OX7Emq26piJJouTheR5PPP4Y7777bkEhiW7m17KYSOgM0f6ff+5ZDh48xMqVK3nuuedYv2ED11y7OpkQlGj/TiTR0jVrFqqi0LO9h5/8+Ef85m/+Fs3NIkjzfV9Yw6bTDA0O0DGjAy/63Lfccis7du7kfe99LzfccAP9A4N841//hc2bt4jPo8ik0ym+/e1vc/e77uamm2/igx/+DWzH4dVXX0VVVTzPY968eay8+mqCIOQfv3wfTz/9DIZhoMgKfuDz1re+lY9//BNcddVVvLrtVR577HFSqRRmysSpg/XzRIibMWJuGRqsXLmCW26+JQlmgyDEjPzVaxEG4Ws6lw000MCJcFyPMAzQdX1cRao2Q1kqlXE8j6ZcljgKsxwHQ9dpbc6z+rrrWH3ddew/eJA1P/sZmzZtIgyCs1L2fS0IEeV023GiOUKMreVyme09PVMOaDdufAnXdZEkCcMwRPO5H0y6R2eqSKVSAJx//vmJ3FY6ZaIbRpJ5Px3kUBJ9Qj74voifVFVLtGx100DTdPF9ovK/EwRRRfT1xVCvBaqi4EcVgY0vvcSiCy8cNw+faZyZs8qJ6Wff89i1a5f4RZLwfBeVuGs9jJ6e+IAcL70hyRKqoqBpGqZp0tHelnD+avmbE+/5Vx+KouDYDqZpsGXzZqyqRSabQeS6J3+M4kA1Ljl4nkehUKCpqYnHH3uM62+4kdbmfHINxI1Ok2nMi18jIQb1zVs209nZyW//zkfo7e2lZ8eOJOMbL5ZiyLJMpVJh3tx5KIrKY489zm3veCcd7e1ULZuUadRUEEQzm6ooBGrIL5/8BaZpsmLlVew/cID/+Pd/57nnnqe9o50wDBkYGBAr/jDke//+fZAkbrrpRq5dtYoDBw7Q19tHKpXiqpUrqVYtnl77JBs3bkLXdVpbWgRnNlDo6enhK//0Ff7fT/85K65cwS9/+SS2ZZPNZHDs16/5Oln4vo+iKKRSKYaGhkhn0tx0480sXboUO5owPV802fm+j2U5ZNLpN4XGcAMNvBlQey/FY6QECd1AVRSy2THFk/i52uA3iLK78+bM4ROf+AQHDx3mlS1b+O53v8sbGYosIytK0kgry6Ih3Pd9jh05MtHmE2L3nr0QisyvrutYVQs/EJS0MxFwSZLEsWPHkCWJz/3VX1IulTBTKRRZfOeJEneSJOF7Ppqm4rqRpKNuJJJsjuNQKBRwXZeUmUI39IiL7Qk+9jQrOUiyTOB6eJ7Hziiei+mF0390T8T0flvGiMFxBi0OIJ575llsy0ZCWMLFpREJCVVRE7u4iaBpGuVKBUWW0Q0dWZIpRj71V61cCYz31j4XEQRCB7Y2O12pWuTzecGfrFYxTZMtm1/GrZHummzzT21DHoBpptB1Hcd2KJfLrH3+eUBcA47rJZ9jotUpiBWgnXSFWuzcsZOUmWJmZyfzou7773//e8lrY21jxxYdpKqqohs6t99+O0gSf/e3f0elaiUc2qSZLAjQolX7rp072Lr1VcqlEgODA2zatImeHTswTANJkiiVSqKJARLO97e/821sx2HZ8rcnZZcgDGjK5WjJN9E/0IdliaarSrVKOp3G8z1s22bvnj1s2rSJ0dFRdE3Ddmx83yeVTjHdME2TMAzpPXaMBQsW8Gt33cUlb70EGMvo1/rSZ9LpU+6rgQYamBokxicSTrbgP9lzsiyNczac0z2b2267lXvvu49rV69CN3Ri/eyQMKmExnqlsW57EAYYpkEqnRrXYDtdiOU6TdOEUDR0e55He3s7O6NGo7HXjs0XtXPTyf4f/zxy+DCarmOaJtVqVRgAqSq+55+RLK3nerS3teO6HseOHqNYLNHf18+xY8cYHR1leGj4tI+hwSFGR0cZGBhMXn/s2DFGhkcYGR6hUq6gKiopU8wVcRJEVdRpD2ZBzH+KohAEATt37Bgn4Xk2MO3fuPbLxf+vVC22bN2SrJSmgjAIRCnB96lWxAWby+VImSaXXTZmdXsuQ5JPbPBSIlpG7aD18uaXE6WDuAnhtSB+j1w2LagLikwQhDz11FOiZHYcEX4y+xe8KnGZ/uS/fsyx3l6uueZqFFnikkveyujoKNu3badUKhMyNthnsxmqVStZmV9zzTXMnz+fUrnEQw/9dGzf0fvEgfPIaIE9e/dSKpVIpzOkzBRbtmxhoH+ATCYTKSeEdHZ2Mjw8EjVeCC7Y2hdeoFQqctHFFzNrVhdNTU0cOHSQStViwfwFLF68mFxTTmgtjhYIggBJkrAtm6997avc9+UvEwLd3d0UCkWOHD58wvGoN5xIvWFGZycf/MAHue0d70gy9K9X9aKBBhp4Y6CluZnf/djv8vv//fe56KKLCAKh+xr4AaZpiESQpqFHFU2hziKaYTV94qbdqeL4pFUYCtlFN9LlnozVdkxnE9sLjqyuqQyNjEbKNH5SyY2VFKIXn3R/DUwenuuhqIpISEoSBw4cnLDqOp2Y9oAWxjQ/4wvy0MEDvPzy5rqskDzfT7Tc/MBP+LPtHR1cWENQbmA8VFUjk2uKMpNi4Fq/4UUGB4eA12Z/ezxaWlqQZDnh0h45eoQ1D69B19QkiIy1+CZCyFjgu3HTJtKpNNdcuxqAa1evJp/P0z/Qz2ixmFxfY6t0MSgahk42m+GuO++iUCjw1FNP0dfXPy7IlyTRMOD7Pnv37MZxHObNm0trayvvfc97mL9gPr29vXR1dZFJpzl8+DBdXTMxDQNV0zBTJq++uhVJkpk3d65wHRsa4ujRowS+z5UrVvDpT3+aD33gA7x9+XJaWprJ5XK0tbbh+R7DIyMYhkGxWGT//v1ks1kuOAPXb7zCDsOQJUuXJoOR63qTqI800EADb2TEY9xll72NT37yv3HVihU0NzejGzrDg+TObwAAIABJREFUwyOAyJJWLSuRcYybiybSSJ0OhIEIaB3XxbIsBgcGkr+diiJQO47XNk9tWLcW13UT3iyMpzFOpkLYwOnh+aKJWYt6Z159dWv0/OuPH6aCMxLQHp/63rZ9O6Mjo4mT0lQQRgGSrCiYpokerTAXLZr+YODNiPgWVmSJfC4n+JPpFGEYMjQ0xLq1awFeV9kgzqTOmCG0XcNA2BGnUykefvhhisVSsl/zNQ6W23t6GBoaYvnyy5nVNZOR0YIwTFiymNHRUZ78xeMACT0BxhrVypUqIAb1FVdcwdDQED/60YPJgOa4Hr7vYZgGuVyOoZFRNFXj/PPPp1gsMmfuPK666io6Ozs5fPgwpXKZlJliaHgYSZYpFAo4jkNv/wDZXJZ8cwu2bZPNZnns0cf4xr/+CwcOHULXda5dvZo//dM/5W//7u/58pf/kXs+dQ+33HIzmUwGWZZpaWmha+ZMstlM0rE8nZCQSKVSlMtlCoUCVctOMukNNNDAmxuO6yWUs/a2Vv7gD/+QO++4A1mWUVQFWVGSBtZqZOpimKJpNXY4nE6EhMTmLiAawiSkJFN76NCh5LWnm5HieaU2O/jsc8/heV5CrZBq/sUUiwamhrDm3IVhSM/27cBYLHCmMe3vGnJicLRx0yZ047UFNKeCpmu4rkfgi66+EEFKXrli5USbnpOolQnRDVFyihu5ctksTz31FBB3L772Gz4EOjs7CcMQ1/UwdJ1Ktcro6Cjf/e63ARgZLQCTy9LG/tU/+tGPUGSZZcuWI0EixXbF26+gubmZ555/gYHBIWJnMADP80mlUrjR+/hByEc+9jHmzpnL8y+sZf36dYDIALuehyzJaJqKbdkRl8wklTIjiTE5yVrkcjkM04her4msQBgK8W7bwXFEN6thGOTz4rP97Re/yOc//3l++OCDbO/poVqtousaTflmPvbRj/G5z32OhQsXUiwW6e3rY3S0QFtb24kHpM6IbaMNXSeVMiMd3ej4naVVdgMNNFAf6JqKZdvJHOz5Pu945+18/Hc/TktLC47jIEsS2WwWQzfwPC+RvYxdC6cTYRiOZUqlyLZeUZAlEdgePHRw/OuP2/5UWdZK1eLA/v3CQvYU1IJTPd/A5BEvhvyounkwWoBMRpJzOjDtaZj4a8WXzv79+9mzaxeapmHb9gkcmtcKRZZxHRfPD5F90dV33rzzWLhwISGnX9WdK6iVV6ot26hRVtuNtOvSmTQ7d+1ke08PFy1a9JovSgnxXl2zukQAKEtous7o6CjpVIp16zfw9rdv5NJLLwUmn6WtWlV2795NpVplw4sb2LNnD5lMBsuqMjoySuD7DA4M0td7jPa2VoAaIw2XfJMIfivlMrlclltuvol/+upXWfPIIyy95K2kU6IxynFdHMchnU7hui6HDh6gUCjS0d7Gr//6r3PBhRfywAPfY8vml2lta0M3dIaGhjB0A0mTmT1rFn4QUCwUUVWVkZERNE1DkiV6e3vp7+tny+YtPPjDB8nmsmTSaW6++RaWLVvGzM5ObrrxRgYHB+nr6yOdTp8RpxdFUSgWi7S0NGOaqXHnPAjCaddpbKCBBqYPjusl0l+DQ8OJFN8Fixbx4Q9+kPv/6Z9wXZdMJoNu6JRKJSRJqkv1dDKQJCnJ0iJJIEnIytgYdCQKkOK5PG5uTjSzo/EqRMw98e+Dg4OC9naaOWwyKkoNnB6qqmLbtjAT8n1GR0bYs3cfC+afN9Gm04Jpz9DGiC+d5597FttxxqWqpwLf99F0DYnIq1lTWb169USbnVOoPcrH38LtHR04to1hGNiWjSzLPPrIw5RKr13QP9aY7ezsxDCMhIMVc3R93+cHP/gBo8XipBUUANavXYtVtWhqamLLllf4+Zo1fO/732fNmodZu349mq5TrVZ58sknAZGFUGSJTCaD4zjouoblOGRzWUJg5dXXsOrqq9m9c2fSIBZLcEmSzIL552GaJltf3Ua5XEr2eeGFi/jcX/0l99xzD5l0mpGREVpaWtANHcuyuGTpUgzDoL+vj1xWBKwx9QCEkUImm6FSrVCpVBgaHuY/f/yf3POpe9h/8CBXXnklHR0dOI6TOI1NN2KVhu7uOWJBgvAYfz1NgQ000MAbC7qmJmN5W2tLUnVpyTfx9itXsHrVKgxdcPdhLGtpGMaUk02TgSLL0dwdCp5rbUwQhvT29xMylomNm75O9slkWUrmlQP794nnJDnJ9gINqkGdIUsiaaRqYo63LDvh0Z4NjvIZmbESoV1ge88O0qkUVcvCNM0pO1lYtk1TUxOyLOO5HulUiitXrADGVnPnOoRVqXLCIBACLS3N7NkjZFOGh4dpb2/n2eee55233zlO+/B0qM2Exz81XU8El4MwQI08xnt29PDUk7/krjvvnLS14S+ffhozZXLXnXcyf/588s0tHD54gBkzuxgdGcG2qnz3e99j7bp1/O7HP55kFguFIinTZGBwaFw2WNdU3vv+97P+xRf5yU9+wurV1wEk5fYLL1xE8zPPcvToUXK5JorFErlcFhShhXvlipWsWrWKbdu2Y1kWG15cz7p167lg0UVUKhU2btpI/8AA+XyeH/7gB2zv6eFLX/oHjh3tpaWlmXQqTS6bZWR0FMuyRGNZFPTPmNFBNpulUCjQ0tKCbdknPSb1gmM7ZDIZFi1alGQ3dF1/XRzqBhpo4I2HdDo9ZjceSRuqikI6ZfLRj3+c/sFBNm3cFFGPDGRZQpYkLNvCNCYen6cCSZaRCfAjBy/xYywQKhVLEW1AaIzHY3utVKQsjw+9Q+DgwYNUKpUkqRL4wbhA9kwE6+cCJFkmCAIhN2nbuL7Lwf37ARL98jOJM/JuiixRtWx8z+Pw4cPJZRXUgaMXlw0URaFcLpPLzaY535SIwjdwct1CEOeltbWVdDrN6OgoLS0tHD1ylK5ZXTz26CN8/OMfH3cc4//HAawfN+TJ0rigNghCli+7nIcfeTQZODzXJZfLUSqV+OlPf4qu6dx2263AeDvkUqmcBNKVqsWePbvpPXqUQqHAO995OyAWMXO6ZxPDcT2++a1/Q5ZlfvH4E9x0802JNauiKGQymeRzxQNhykzxe5/4BPd9+ct88xv/SqlUor29Hcf1WLZsGY89/jie7/PNb/wrt99xB4tyoslQkqUkc3ne/PlUKhW+/vWvY5omvuexe9dOXt22jWw2i2VZ9A8MMnfuPLq753L06DEM08BxXUZHC0gItzYrKtkAHDp0mEqlQr6pCcuypjzwyrIEkoTruEiylFB9YiHuEMH9fc+7350cn8YisIFzDY7roSgKiizxwAPfZd36DVFwd8aKmCeFqqlCjjLw+ehHPsKSJUuS8noQBpOSSDp+cVq7jQS8++672bhxY6Kvbds2uu9jGAbTDd+LFZBOPuaUSkVhlhQFs8dXjWRZolypkEmnCRlTxHlh7VphI15j/TvVsbSBE1EsFmltbWV4ZIRMJkPgB4l+sDKJa7PeOCMBref7GLrOD3/y48RXWanRjpsKTNOkVCqJrk1F4dd/7a6JNmmgBjM6OrEtSwgy50TGdnR0lFdffZUDhw4xt7s7yaTWBrMwZpZxPGRZomvmLBGwaWqyMg6CgDAMKZfL7NixnRkzOrj88stRagLibDaD7ThIkkw6ZbJt2zaGhodZdvnlVCoVstlMktWNMw26pnLtqlX84IcP8vSzz3DTzTclA1vVshIuai2fKpvNsGz5ctrb23lh7VqacrkkExAC1193PS+++CLrN2ygKd+EYRh0d3cnxgKVqsXA4ACf+6u/pFKusPCCC7Adh2effw7P9cT3DkKee+5Z7rrzTn77d34bgFde2UK5VGZG5wxAKDEsXbKEjvY2du/Zw0C/kKlx6sSftWwb0zCS7mFFUaIMrGiAc1yHlStXjNum9hw30MC5gsSW3bIZHh5GUZQzQvs5HQxdx3FdFEWhVCqNsxWV60BwN3SdzpkzWbp0KXv37gUE7cCpQ39LPeAHwYQW22ZkKiAhFiZDQ4OUSqWE6tbA9EHTNIKod8nzhEGH67pjVc0zjDMS0MqSjCxL/OKJXyBLMqEUous6QY0+3OtFLbHbNM2EbtC4mCeHmTNnitKAoeN5HoZpUiqX2btvH8889SQf/OCH8GvkW6pRcBsHPceXeuLfZ3fPRkilCJ4UiIFSVVRc12Xrq9sYHBpm0aKLyGYz+L6PHy18hDKCha6pvPTiS2QyGX7nIx89wf6xtmnpjjvu4qmnnubQoUNJlrdaFXJdsiyPywLHslRBEPI3f/MF/uSP/4hjx3ojC0YLQ9d5+9uX82ef+hT33Xcfjz76GE8/9TSzZ3fT1t6KZTn09fVGDi4DrL72Wq65+mra2toolcrYjo2ZMrGwePDBB5k7Zy6Xvu1SPv3p/8nBQ4fYs3MnqqYRhiHLlr8d0zSoWjaPPfoowyPDZNJpLMuuywpXjqwlg0A4AsmuOAax3mNraws33XxL9FrxN9txJt2w10ADb2bEY1Zt5k9VFWxb9BOcCbel08F1ha1oPIZOR4jZ3t7OFW9/O3v37o36CCSxEDbNKc/PU4Xv+wRhcNrgXZElrGjMkmWJnu3bKZVK6JpWl6RZA6eGqig4rpuY8KiKSrVaZePGl1i1atUEW9cf0363xmXMA4cOMTg0hJkyMUyjLsEsgG3ZpEyRPZw3bx4gApYGB3ByaOtoByCXy+G6LtVKlWwmg6ZpvLB2HfsPHDjpSis+urXHObbNDYHOmV2iDB8HnhE0XUPXdQqFAj09PfzoR/+HwaHhpAwWNy2YhsHRY8coV8rM7JxJR3sbnu8nDUtxZhZEE5Oqa8zunkM+n2f79m2UKxXmz5/PgvkLaG9rpVqpJJ8hfi9dU0mZBqtXr2bO3DlccslSPE/oNsbUg0996lPccP31aLrO/gP7efXVbezetZORkRFkSeKTn/wkt912G1euWEE6ZbJ48WJcx0VVFCREqf/B//Mg33vguwwNDTO3u5sVV13F1VdfzTXXXIPveTz37LN87Wv/zBO/+AWWZaHpOpqmYphTL/npmoYsywRhkMirIIkMD5LE8mXLWbhgwbg2icmUMRto4FcB4UkCnqZ8M6qi1sX4Z6rQDR3DMNB0HT3it8aoV6gmAYsWLUo0W0UgGJx1ugUgtMxPEZTWPhvHEqqisHPXTtHc1lAxmHYEQYjjOKiahqqqqJoq+kg2vnRWFhPTfsfGxOBfPvE4uqbjOA6EIZZto6pT9xuWFRk3CmCvvurqZKUG4zmTDZwcHe0dSZZb0zRKpRJNuRz5fJ5jx46x5uc/4xOf+L3k9bW8qrjkfzwkoLW1hfnzF7D1lVeSTGMYhoIaIsu4SDiuw6OPPYaZSvGed78bQ9cTuoEiS2QzWe67996kc1WN9Anjc1qpWiiKTCoK/P780/9z3OdYsPB8Pve5vxpnFBAiZMBUVUVTNcrlMu9///u5865fQ1HkMb5w2ULXsixZsoQLF13ETTffwvDQIOVyGUmSaGltZebMLtrbWseZOczo6EDTBU9VVmTKpTI9PT3s2LGDXz75FK0trWRzOXLZNMVShWPHjtLb24skCT6toojskOf72HUom/lBAJ5HGIRoqrC4DKIsjKqq3HDjjeJ10bls3D8NnEs4vnHFD0LSqVTyexBOPekyFTi2sKaWZZngOKv4etyZ8Rg+u7sbI2rk1XQdybLqokI0VciKcsoxqPbZ2sXHwYOHxDz1Bvj8v+pQVIXQDgkDQdWLDTH2HziI67lnvI9p2gNaXVOpVC3Wb3gRTVOpVKtJEKvr+pRVDkzTZHBgkLb2NlZdu2rKAcC5hnTKpKO9nd7ePrK5rAioHAfTNFFVlRdeWMudd/0anTM6k4ahU3Es47ID0d+vWL6c7du2IctCliVEyLJIsnCp0dEhDPnZQw+hyDLvete7Ep4ukGSGVUVhZLRAc75p3ARkGGMZi6plE4Yh6ZRJ1bJJmUbCtY3pBXETRcyDrX2PWl5uEITJ857vo2uq0NWbf16y6qwdZA1dTwLBatUin88nJa98cx7DMHAdh0KhMK7xYmR4mEw2SxAENDc3o2kqxaKQCTNNU+jYTvF6DsMQwlA0vKgKfhBQqVRQVZWmpibOmzcvWUSgUJeqSQMNvFlQu9AFwaNNmkj9AE2b2v03VYRhOK1BdZyQyKTTtHd00NfbB4iGHs/zzjqPVosW+adDyNjcU6laDA4Oosgyjuue9c//qw5VFZWMuOcjDENkSca2bFznzAe0U0uPThJbNr/M6OgotuOgqVrUKa7X5VLzfeEGtWTJYgx9TG6okV2aPJYvX46syNiRhBSQSJ4USyX+68f/yeDQ0AnbqYoyruwjwbgmsUsvuwzDNJBkuaYxLMT3fMIgQFZkMpkMAwOD/OznP+ehn/2MqmWPuy5i+kjsDBZPQI7riaa0iKJg6HoSlMYZ25AxLbwgDMZVA2zHSfQZh0eF5WuI+E5JRpkTy++yLBGrOsQ2sTBms2sacXYzQIpKdqOjowwND2NVLVRVTT7z3LlzaWpqSgLg/v6BxKlHVVWam5uZKuLPLyvisziRBvT88+Zz4w03AIy7b3R9bAJv3D8NnCuQooeqKOTzeRRV3Deu657VhxaVcmVZPsEIoF75x3g/s2Z1ERIKzq6ivCEWt6qmTRgnxOcORKxRLpVw3THecQPTh6TB3w9QFCWh8NiOzb5IC/hM4oyc8Ve3bUORZYqFIqm0KOfIspR4R08FxWKRzs4ZXH7Z5clzlarVmIwnCc/3ufLKK2nK5RgtFJBkOXGpCsOQdDrN40/8guGhwWQbiTGu6/FH2YnK75bj0NHehqapwg0mFF7asiKCWz8Q2dqBwUFmds3EqlqsWbOG5559JgmK/WC8TMvJrHKPz5hWqmPXlMRYyVA5rnRl6DrZbAbLcWjJN5EyjSTQVGQJz/dP+G4h4jPFcmUp00gyAxIiwG3v6BD82mgCqlarZLNZOjo6SKVS4lgEAZZl4bguIyMjyf4zmQxtra1UKhWOHjlCEEx9QgkCcawDP0goH21tbVxx5RXcfvvtSUAeB/tqlKFvoIFzAfGit3YhbpqmMByJFsFn81GtVrEsS0jtOc44XmK9Zri49yGfzxP4AY7toCjKaZUFzhQm4vPHRyM+Lrt378L3fSzbanBozwBiFRBJFu5y8fxeLpXZt2/f6TeeBtQloA1rfsYXVu3q8eVNm6haFu3tbQwNDYlmoUjCaaro6Gjn4KFDLF6yNAmy0imzbpNy1bKTrJwkSUlHX10Jz5KEYRjjBtU40Iifq32/OKiqByRJpmvWbEZGRhPtVMe26WhvT1QC0uk0X/nKV5JyuON6UXfjGF0kHjri7GjMw7zl5luEDezwMEEYJM4wjuMgK0riVBWEAXt27+aHP/wha9b8XPBjI6pC/N11VUu+t66pCR2gFscbNcQD4qmGttpu/trB81TcYEUer9Na21RimkZiW6vrgi+uazq2ZWNVLRRFwfcEpSFlprAtG9MwcWxRuQj8gEKhiGmY5PPNk6LjVK0qqqaiaSqu5yIrMrIiMzwyjG7opNIpbrj+ev6/z36Wb3zjm3zn29/hH//xfu66S8jbxcfv+GC/gQYmg5AQWVESbn1MLwLqNkZNJ4JASEKFNWX9WbO7cRznDWGNKppfRWPYyGhhWoLMmJKlqhqe75GJ1GRO1jBXbwh+sJRUkOIERPzczK6u5DqKP03tnBgfjXj82rJlK8PDI3TPnk2lphG4gelBrPMbBiHFgnCbM02TbC7LT3/6E2AsljneHfS1uIVOFnUJaH3fT3iVtSV/y3HYuHEThdhWDyEjBCAhkaoh379e9Pb2ceMNN9DW2jKOa1OvSTkO0EqlMr7vR5akNp5fn5PhuGLg9DxXBM3H/T0+nrUBehxUxQH8VCABkiQMFmqJ9cVSCVVVRde/7zM0PMz3//17wJiY9WSsUa++ZhWaqnLeeedh26KsH5e1QGQFisUiYRDSNWsWo4UCDzzwAA888B2KxVKymAASDm+xWGJoZHTC1fuZQO0EEwSCq0rEW5Wlutxep0Uul8NzvYSbHvNz586Zwyd/75Pce+99fOQjH2HB/PNQomMZL8jqtehr4NxF4AdUq1XK5TKlSoWQserNm8GgI3awrM3S6rqGaZoJl/ZsQ5YFterIkcNI1I9qEMN2HGRZ4siRI6iKShiGuI47IXe1HpDiBVCU3IoXEUEgrHBbmptPrJTF9rfHjb1BEGLZFql0ikKxeEaMIc51xPrmsiIn5yMIAjzXxXW9ZA6HsSRRkqCaRPzwWlGXGVeS5BMuOkWWkCWZ5559hnK5nNwosiwnmqP1kEXp6Ojg5ptvJmSs3B2XneuZRbWsKq2trbS0tGCahpB1qcMJSafTpFMpisUS1aqVTAbxyY6Pq6Io+IFgosbfrx4BnSwLsf23XHwRkiTOmSTLQj4qkm9BEhnVZ555lp4dO4Qk1SSDtY72NmZ3z8F2HFRVaNAqspwsZmzbRpKkhJoQBAHDQ0M899zzfPVr/4xVw3UFsarL5bK0NufH0QvOFmqv+zAUFsJIYpA+E7QXTdMoloq0RE1l/f39XHrppfzBH/wBy5YvSzLWfhAmK+Ik01yH66eBcxu5phyGYZBOpTANA4nxE1UcaLxRH/E9EYZBEoCrioIsy9j29NpOTwZBIJpowyBgz969E738dSFOLuzbty9pBvMDvy7z20SQpRoKGkKzXPQohARhwOzu7mQcjUfTIAjH/Q4iyB8cGqRaqZBOpykWi+hnuaHvXIFIxEnJYsT3fVzXw7Zsdu3alajnxOcx0ZCfBtTliq1diccd07qmomsq23fsQJaEK5EfxMThANdzkxtpKujv7+eRRx6ht6+PpqYcmqJSiJzDNE2ta9lkz549SddrXCafahauVCoxODDAD/79+1Sq1ej4icBODC4+uWyaIFrBxiTsd77jnZx//gV1CZp0TWXZ8uWsXbcuOmaiu1eOuK/iNRqSJPHAAw/wx3/yf9GSbxonh3UqeL7P6mtXsW7dWjo7OxkdHUVPp9F0HSty8YqD20KhgKZqzJ07l0q1yhOPP0GxWOIDH/gAFy1aRMjYZGk7zgn0grMNRVFoasqjRIu2+rHcTg3bspBlGd0wGBkdZd68ebzrXe9i0YUXJveiqihRVn/8uarHgqiBcxujo6O4rktTU9O4SSpElCHrMT5NJxLFlOMqerqmUalUpjy+TxVBGKBKKiFw8OBBoL6jiuf7mGaKkdEChUJBOJPZTtKINt2QZQnPF25giqII3msYJvPOvLlzgfHJqZNdU4ossWnjJkqlMql0qi50xgYmRm3joIRYiIC4bsMgZOeOHt72tkvHxWHTmUipS0ALY6oCiqIkg8D2nh4RpOgasqLgul6SAVQUBdeduqxGU1MTL23cyLGjx+iY0TFOFgmmfvCES4tCrimHpmnkcjmAJNtcrVQn2MPpkc/nGfJ9trzyCoVCEddzx690HJdsNouqqQTRysc0DW695ba6ThaXvu1twlHK93Fcl3Q6nRzDOIhWVZUNGzbw8M9/xvvf//5JBUSqorBi5VVceMGP6evrFR38mkYp4uOm02mCIEjew/d9CsUiqqrSNWsWPT093H///dx1551cd/0NhGGAJAm92Fie640CCWhra0PVNOzjGjimC47r0traSl9fH67r8sEPfJBFF15IyMlpN34QRuLpdbv1GziHYUamNs35PIRhomv6ZghmQVR8gjBIuPTxIn1GZyflSgXfmzqtayoIgkDMkJJEqVTiWG8vMzs7J9ps0lAUBQnY/PKmpETvBz4pI5U0yU4ranjKtXRFWRLSjjO7uk6yiZzEG7VYu26t0D4NDEzDTJrdGpg++L6PJIvsbPwvROicI8PO3bsBQd2MaanTSUWq26xWtapk0ukkyBkZLfDwmp/jez6KqiQ+vyB4MqZp1iVDGwYBhUKBpnwTsixTLpVoaor+Xy5PmaeraRphEOBEkmPVajWRPvJ9n0x6ajyruEtwcGgISZIwdD1x3XAcBynavR8E+EGAJEvYjkMYBtTaub5exJkUQ9eZM2cOe/bsSYS8XdcVJXSAMGR0dJS21lYeefRRuru7ufrqq0+771rcdtutfOlLXyKVTiNJEqVSkfb2doIwJPADJCRUTXB2XVdo2mmahmEYjI6M8L+//nXWrV/Ph3/jN5jb3Q3whglm4xsVIJvLJRl2VVOmPahVFTXRi8zlcnTNmgWAFQX7MRUnCEI0TY2ytXW77Rs4x+G6Lo7j4PT28vgTT7Bn7x4UVcF1XGEwYp39sv3pkMlk0HWNu9/9HjRVS+avzhkz2LZt25R1oOuBeARRFIVXtmyho2PGlMf9GPFetr7yCqZpJrQ9EHPrdCNO3sTOhRBlpVWVVMok1yTkGmubDWMtdBhLpFWqFjt6eqJ+FA9NUwU3+Cxn2H/VERJCgCCvSiRBLYhze+TwkURD3j2uonuyRclUUbeZ7XhO5cjIMC++tBEA3/OT7K3jOEhImCkzkQeZCirVqrAGjKgAZiqV6PfFneZTgSwJ21B8PzGCMHQDM2Xie96UV4GappHP57EtG03XIAypVqpomkrVspKspeCZahi6ThCG5JrydRnUJMCPvLKXLVvGnj17UBXBdZVlWQTWtoOqCf3UXK6J3r5eHnroZ7S1tXPxxRdN9BZUKxXedvkyFi5cSG9vH67joBtCn9Yql4VDlizje4JXrWsajusyODBIc0sz1chVrqenh/u+dC/XXruK6667nmx2aouJeiEMRKe0H4TIiizoKLEObTC9WQ5VUymVSrS2tiLLEoMDA8zpnk3KNJIMdiNT28B0IZ1Oi+SE67Jv/z6OHjtKGIZUKhU0VZvy+D7dsGyLbDbLbe+8g5b82H0yc+ZMMY+c5YBWlmVhruALfv6mlzdx1dXX1HUxv//AAXbu3o1VraJqGoqs4NgOuqFP+/gVQ5JElk+owARRn0UbjGwXAAAgAElEQVQa/RTH//iZ7+iRw1SqVdKRaY7v+41g9gzgdPe3LEsUiwV279rJ5ZdfPk5J5FQuo1PFlM94NVqBx3xGx/VwXA/PdbEsS0zw4Rjh2/M8HFcEmfVQCkinUgkJ3Pc8mpubKRQKOLYtyuRTfMRckNjb2vM98fC8unSJ25aNLMv4gQha/YibqygKKdNE1zRSpkk6nUbTNHzfp1Qq4dfh2B2PpUsvQVEUTNMQA1rEp7JskUXOZjIMDA7Q2trKSy+9yCOPPjzBHgWy2Qz5piauu/56DNPAdhxyuRzFYpFUKpUcS2Fj7DIyOorneczs6hSZTlVNBrzDhw/zve9/n69+9Z95+eXNE731GYXjOIRBiB+ZI8jS1BccEyEMQ3Rdp1wuU6lUaWltSTrNTzbpeb6fmFc0gtkGpoqRkRE8z0PVNFG1iheluo5hGoRv8H+ZTIYgCMhHVDIQi72Ojg7yUXbwbEKW5KQaqGkae3bvwYsqWPWA43psfWUrAwMDjIyORv0TQgKwHk3bEyEMRXlaiXS7Q0IxdioKhm6cIFN2fMUr/nt/fz+aqiW9H5Ztn5GmtnMdiqIkUpxAcl8BUdOly9GjR4GxpKfn+3VRaDoZphzQmjWTZty0o2sq//Iv/0pHeweBLxqngiAU/E/DRNd0rKqFoU99lRkEIqOZMlNJZ10mnRFdrH6QdLO+3ocsyVFgHGUqFVWUeSM+8FShKNFqWNPxPR8JCU3VcF2PIBjr/gwi2gOS0KytZweuqihULZsF88/joosuwnGFnmkspWIaJl70eTRVo1Ku0NExg/XrNvDl++5LOoVHRgsn3f/QyCiKLHHjjTfS3t5OGIQUCoVEckqW5ESHNQgCcrkc2WyWUrGcXD8SEp7rJRztjRs38cUvfpH777+fffv3J+9V+xlqdTCDQNxm4ibzkr/V48YSjQ0igLRtW3R9p9OJHeBUEHf8yrKEbuiJkYOQyhPHMZ1OE/gByy+/nHlz5yJx6oYvVVFImWOWwQ00MBWYhpmI8cfZTMcWpV7P9ZIS5Bv1n67reJ43bhwIw4ArV6wQNC/fF1QdTU2SM6qmks6kqVpT65+YDDRNxXVcLNvC0HVGCwW+9a1/A8Z0PGuDvDjBBGPjX63CSbxd/Htffx9PPvkkIyMjtLW2Uq5UsB2H9va2M0MXCUNc143iA1dUW6M5ZvasLmpHqVoJxxgxz/f5F54nnUkT+H4S/J+Jzx+EAYoqEl9xgi4Ig2QxF3/m6XzEQWTVqmKYBoqqkEqnkkTUdCKOsYBx91UMwzB4efNmLMdJEiiu62Hq+gmLk3pgyhFZ7eUV1txAhUKBYvHkAU4DbxzEg168MFl++bKIgyQa+SbC+g0b+PGP/xOA5nwTfX39gNhvfMG2NucB4ft82623AqKZz3NdzJSJJAsdu1Q6JTi7YYjrOJPK4K9dt47PfOYz3Hvvl9h/4EBikVupWvi+nwSvsixuM1mW0DUVRRYUgTjwq/28rxW1WwVRY0wYBHWzjowtHGNtv5CID6uqdHbOoL+/n/POO4/3vO994yTr6hGsN9DArzKCIEh4nDGkKInR3t6eUL4sy8LzxOI78H0cxyFlTq0/YzKwLJt0Jk0qlUr6N/bt38/u3bvHAgTPTe712qqMLAu9cCUa82LZxzjpNDg0zNe//nV279kt5CPTmSQr6zjumWkKQ8wLcWY2DIIkSOueO2eiTVEVYfAzMjJKuVzGsmzcaCGlG/XRoj8d4oxwnPgCEQfZlo3EmDHQdD00XSe2R06ZKSrlCqVSCc89MzrCEyEMAoaHhscZGMWfazpMQuqak5dkQdZ2PbGirFSrmMYbS1qpgfGICfYSIjC79LLL0L71LarVqij1c/qLrlQu8+ijjzKjo4MVK69ixowO+gcG6WhvG/c6PxCNZ9esupb1GzbQs317lAlWsG1bqBzIgn/q+WNc2omCzMJogY4ZHWzf3sPnP/85Fr/lLdx22zs4//zzT3htraQcjFncxrJWMYIgTGgyE/F84mOXBMaRHF0QhPW7YSMpm3jSUhUlWWw4jigN3nnH7eO6n2VZOlP0twYaeNMiiMYduWYcjBe/CxcsYGBgIKlUhUGIYigRbc4lk8lMexbQ80VVStM0ypVKQrtas2YNH/jQh2luahrHkXdcD9d10DQdXVPJRJzSENHLELuA9ezYwbPPPMMrW7YgSRLpdBrLFjKKkiQlmemJxt+pIgjCpNclDMJEnhLgLW9ZfJotx7B37x4GBweFM2N0LELCExYq04WQqJEtDmgR1MTmfJ7uORMH5VNBpVxBVkSvSzqVYu/evQwODaHpOmnGbI3PFoIgpK+vV+jQRnNvfJym4+zUN6CNfsqS4MO8EVYIDUyM+LyFQUhrayuXL7uMp59+BsMwJswyZrNZbNvm7//hH/ir9naWLF5MR3sbpVI5adoKgjGLQl1Teffdd/P3f//3lCuVpPlMlmScqGNaVUT2MQwCguD0N+ScuXM4cOAAYRgyc+ZMNrz4Er/45ZMsW7aMd73rXcyeNZtsLouEyLzUEtNPpaMryxIyk7t2j78pbcch8H1kRUaRlCnL/gRBiCxHxzCSRkES9AvP9yiXStx++ztZsXJlEpw7rpcoGjTQQAOnRhAK44IgCIlvl/ievvCCC3n++RdECdc0I3WZEAkpUWKZbmialgQtQRCQTqfxPI+169aRyWZ4z3vemwSt8Zgbj2mW42DqejIexOPxrl27+NnPHuKZZ56lubmZ2ETCsixURU20yM8EfN8XDeJRD0UYisxjOp1m/vwFE20OiO9TqVQSVRzhbhlg+/a0xyDx+B7THMIwRFVVAj9gZlcXf/7pT0+wh/ohhMg6fg2lUolioUA+3zzRZtOOUrnMxg0buHLlSkAE/zJKsoCsJ6ZMOYDxJdcYsetUA29sxLxSiPiaYcCdd9xJLpebVFOALMv09/XRPbubr9x/Pz07dgCiESzmc3m+ULkAEUSef/75XH31VZhRwJxOp8k1ifcLwzAZhKrWxBygfXv30dLSwsyZMykWioyMjKAoCq9ufZXPfvazfPRjH+Wb3/wmA4ND6Jo6LptRG8wWiyVhb1yTkXg9uQm7WhWr4rA+GQJZFo2CIWFCPXAdF8d18H2fRRddxHve9wGCQNAnYq7S2V6ZN9DAmwFhEJwy6Jm/YD4hwqY71mh1HRdNE6YDZyKoVVWVSrWCqqpoqmgKNk2T0dFRnn32Ob72ta+y/8ABQIy5nu9jOQ5OxFOMF+0SopfhP37wH/zNF77A008/Q0tLC67jUK1UhYmELJPPN6HpOrbjnBHKUlwJSxJgoaiOdXd3T7pp9eCB/cTOo3GDmaycudgjpksoiiIkKKPmtlldXYQwrY+qZSf0AwnoaBOVUUPX3xDBrOD5yjzxy18mwWt8XdXT9CrG5K6Y14hYS9QP/GlfITUwNbiuNy6T5zguCxcuZFbXLHbs3DEhT8yyLGZ0djIyOoKmaXzhC1/gT/74j1myZEmig1rr7hUHlL/+rnezZ+8+Nm/ejGM7SfCnqRqKKtzkPM9DVU5/iXbN6sL3fcrlMkEYkG9qQo9W6ZVKhfa2Nn7xxBM89NBDghaxYgVXXX0N3d3dhJGahKoo5HLZZJ9+NDjEQfjpEK8yYxks1xNC7X4wRpafCmRFSRoDkSR8X9hS5vN5Ojs7+dAHP0Rrcz55r5hsr2tqkqFpoIEGTg5RARlfuYkxa3Y3XTO7OHDwAK7nEQYhrueSVtJJ8DLtiBbGuqbhaW4iU5lOpSmXy6xdu47du/dwwfkLueyyy7l82fJxDoqlcpmXNqznhbVr2b9fBH5hEGDoBgP9A2SyGdF4K8ui8TlSJwrDUOjS2lNX8pkIfqRHL8uikTAMQpYuXTrBVmM4cvRY0rNg+XGWWSNQ6tfHcCrEc5Uvy2KR47lJMN3dPafuGcjjYeh6lPQQ439LaxuVckXMa5poXj/bMAyDrVu3JhXE+JjUjZJXg7oEtGEQgnwi27IeGaoGphf6cTwpXRedyldceQX79u07xVZjMAwDRVEoFotJh/8XvvhFPnXPPSxesmTcNaFGXdB+EJIyDW695RZKxRKHDh2iWCximiaKEg0QkZrDRLAiu2AQn0WSJCqVCkEQoGs6x3p7yeVytLe1Ua1W+elDD/H4E08wZ84cZnV1ieB91iwWLDyfdMokhNelzyqCXwVNVRPucex+NhXEOpSxbFmImGguWbqEq666hosvvihZKMTBte04pMyJ6SINNNAA0X01Hp7vk06ZXLniSo4cPZLohLuem9AOZFmqy6L1dPADoT9r2aLZSVM10ZymyIISFgQcOniIo0ePsnnLK3z7O98RJkaBWFRXKhVMw0TVhFGP4whb23Q6TXNzHtsRlZ5Y67Z27DwT1rdx011sVetHdK3ly5cn49npUK5UOHLkCEiisdi2bVRFZNCDM5BhPt5iN87mq4rK7Nmzp/36iJMu8bXYPWcOISK58kaRLVMUBcuyOHL0KHO7u5Ok1kTn9vWgLt84BAjGmmAkSUJVRXl3uk9oA1OH5/voskqlapFOmTiux80338KLL77I3j17T7ttpVIhlRLqBGEYkstmKZZKfOnee/l//sf/YOHChUnApchS8h5Vy2bZsmUcPXqUZ555lt17dgs9O1mmWq2iyEJ6ZDIZgkT8fFzjlIpuiNWr53mUSmUUVRGSZ5bNrp272LtnL+s3bACE6sIFCxey9JJLWHjBheRzOfF9ajK3J4NU81ORJXTDxDAMfN+flErDRAgDoYMsKzJyxKHNZXMsXryEyy57G0DSCCHBuONbm6lpoIEGTg5Jkk4of8aVq7dfcQVr1qyhXCpjpoSlehBRgJAkOCEUrj8Mw2BkZARJkuhob6dSrVKtVkUW0vfJZDOJnvfgwCCpVIpsLotbqZLJZCJOqZ+M05ZlUS6XsW1buAxGyQNBpZCEpnAQMDIyMu1N3aqiRKowYXJcFVnmvHnzTtnjUIv+/n6GhobINzUlOvcx37hq1Uca9HRwHUE7CYIxeU1ZllFkmRmdMyZV5ZsKjjcoaGttQdeE7OfxwfbZQNwDksvl6D16LHH5FM/X/9jUJaCt7RD3fB/TNCiVSuiaRngGbvjpRMzrTBD9v16Bei2HKIaQLwnH/Q5jN038XD0uilpKQJwR1TWVkeFhbrz+eu7d+mWam5spFovkIlvXkZER8vn82E0cWddKkkSpVEZCwqpa/K//9Rnuuece5sybl6zKdF0jZExe5o477uDQoUMMDg2KQTrq6HVdF891iTlsMccqDMXvwhoxNa7LWPCIpORYxsFwXDuICfy1WdP4NQP9Awz0D/D8C2upRdesLpqbm1m+bBldXV20tncwu2sm/QMDdLS3J4NuHLS3t7fz/7P33mFyVGfa969i556sGcVRBgUkkjDRJIPNmmBjwLsEZ9aL83rtfddefw77OnvXu/a76xzXBmywwRiwCSKZbBAIEAoop8kzmtChuuL3R9Wprm6NZkZoRiL0zaULqbu6wqkT7vOE+2mfO5dNGzcesnUWQAu0JxsbGxkZGcGyLN7xjks5+ZRTw2OiPUCQ2MmsJFRDDa9VeHjhPBYdR2L8zJwxk2w26wv3636lRomyZXE8FZhDhYSEWTJJJsqJXwDJRDJ0J4v5FvwkXYBiwdfIFdrmruuFc6Usyciqb30VxgDHdhD2TDEnTjWZBT+kSnJdcoUcrZlWHMfhoosvBsrztBlsLqSIF1iUfb/z9tuZOXMmnZ2d6LpOOp3GMk0MwyARj0/aOn0gKIqCh4ema+EaWSgUaGtro6GxcbyfHzJURQnbQgoMRgsWLWL7tm2UjKlPihsPwnJs2zZPPPEYq1adCJQTwyYbh0xoq90Cvgi+7yqV5Km45cML2y5b2aKTlyCShzpgoolzFeRUIbAAlGHbNkIRQJakSYlBiZ7Bl87yu0RjUyOLjz6a9vZ2+vv7/ZiqWIzdu3fTNn06xUJxQi71b37rm1x55ZVc8JYLKBQKpNOpkASK/1933XV85zv/xZo1z1AoFEglkySTSfbt20cqlQqvocgyHn6b2Y5NLpeb8tKUfb29bNq0iXUvrEPTVArFItlslsaGRj77uc/REGjsivsQC6HwUhyqysHg4CCJRCKoDucwf/58FixcGFrSx7Ng1FBDDS8fiixx+mmnUcjnGRwaIpvN0tfXRzqVIplKkhvJj3eKGsZAySiRzqR92a5AIWDlihVA2VCmKEq4Ngq+Ib7r7O6mWCyG66IIM1AUX9pwPJWcQ0XUYCdJUmCdVchms4dNZSYqOaeqKu2zZ7N927ZJ4QeHCsvyc0pkWaKzqye0KE9V2xxykEw1oatuRCeI5Xm1/pEi/0UhMgsPFa7nhn9sx8FxR08mElW0RCUUt8qKOxnQIuRIVRSmt7Vx7rnnks/nyWazDOzbR2NTEyMjI34w/ASs77qmcf311/M///P/QtkYYdEU8bu5XJ7rPvQRZs2eE7idfGt0POYnJdi2HWo/uq5fqUdVqiznU4hEIkEqnSKTyZJKpejv76enp5u6bDbsFdHNiGWaYbbroWLmzJlcfvnlvOMd7+Caa67hqiuvon3OHKBWuraGGg4Hzjn3TWSyWXRdJ5fLEY/HKRrGpMz/r3c4roOQIxseHmbhwoUsWLgo/N4NrI/h8ZG42JJp0tHRgVkq+TG/ihyunxLSYVkfwmt4fnKhBMiKTFNT45SRtmpIlBUDdE1l6dJlYd7FKwGy5L+XvXv30NfXhzOF4+aQCW01RMO6rotXRQhfjf+pmoqiKiiq4scxRgbXRAjdeBCavQKe5wVuMD9InyBYX0iDuEGssjRJFlooR4GNdrZzzjmXefPmUSqVKJVKNDY2Ugj0Y5OB/uFY8Ev4ujzzzLN86tOfpqu7G9OywxAE23FC7cSvfuXLnHDCCZSMEkNDQ3j4zyqs2KZphjFsqqaia1OfwZ/L533pnEKB7p5uPNdXUlA1LSg/W4brejiuRy6Xw7KtSUlKmDu3nYsuupgLL7yISy6+mOOOOxYol72soYYaphb1dVlWrPCz7l3XT9JKxOMMDg6O88saxoOogCYkIs85++zwu/HmuM7OTgzDAMlfp/G8kPB6eJNaHv5AENrgYnPj4a/hzU3NY/9wkiGstADzFyw4LGR+IpAVmVQ6heM4FItFdmzfHm5QpmJDeMiEtjqG0/XKFjahP/pq/uM6TpCYE5DLyEuQRqWABwdFVXyJDdUXwvdDNsrnFXGyEpJfXk9VQpP9oV/dh+fuT81tx8F1PZKJOJddeimFQsEP7O7upqWlhXxA9MaDaZnE43Fy+Tx9fX188pOfZMP69YA/+KNWYdf1+Kd/+hRHHX0U8ZifZKZpGpqmous6uq77uz3HOWxyJKlUimwmgyzJlILJM5lKomv7hzq4nktnVyf5vO+GdNxDVxkYHh5BkaX9Eiyj7VZDDTVMHVzX46KLLgncyCr5fJ66+vpXDGl4NUPXdSzLolgscswxx3DyKadi2X6ilUhSg7J2qQg/84CXNm0KDUKCb3ien0Drk8xDn3/Hg4TPE8QK6roujuPQ0jJtSghbNSr5iN8u9fV1oWb5kYbruOiB8UfXdDZv3gxUatNPJg75qatvSTSwr2vnZzC+mv+YloVpWViWje04YceVZWlSxJtt2/ZDCJxyqIGHLy7tOE6QLV++LvhEyXacSRswsuzvMKNnU4O4JQ84+ZRTWLVqle/2N01kWSadTjM8PHygU4ZIJpNI+CoC/X39TGtp4b//57+58cYbKBYNJHzXkWnZeIBZKvG5z32OlStXkEql/MnOMPwAd1kO63P7G6fJef6xUCwWGRnJISsyDY2NJBMJciN5hkdGgqSQMhRFYce2bZim6UuITcKWY+PGjZRMM9xgCavFoZ+5hhpqGA+mZSPLEvV1Wc477zxGciOoqkp/fz/ZbHa8n9cwDoRMmCzJnPnGN6LIUuiRi85xwvIqPsvn8qx7cZ2/RrluIFXm+UYfWUbVfC3aqYYsSyBVhjd4nkdLy+Gx0FZ7aT3XQ5Jk0pnMAX5xeOG4PofyjVMq2wIp0PFyb14uJt3M41sT/djJWDwOh8Hsf1gwym58MnQ+HcdBlmUUxU+iE+EHbmARBsLPXcUvBODYPgG2HV9uazKgBKS2Wk9YxDC97ZJL6OjoIJ/LMRQkRwwODo5b+MC2bEzLz5qdPmM669ato76hgUceeYyt23Zw9dVXMWvWrDDeKJ1OYZgmn/ynT/Gd7/wnu3buorevj0KhgCQniClKuPtWNWXSSP2BkEwk/Njd4F3ncnlKZolsNrufkoAEbNm6BbNkEo/HJqVa1+xZs8kXimGIhhmMJ11TKRqlmppBDTUcBpiWzXnnnc+aNWvo6elm185doaJADS8flmWhqiqrTjqRFSv9cCpFUUIDi0TAKaqqjg4OD7H5pc1+aF6gFKRpKki+/jeTlJQ7HlzXQ1b8FVNohcuyTHNLy5RYIKtRfQVh9GhqamJgYGDU3xxOKLJCPpf3pSxdl86OvQwMDtEYJFNPNiaHDUUgdlearqNr+oTE8V/JcGw7jGkVFlPX8ZO3PM875PK+uqYhK75UlaaqyAGxc52y2LQs+5Iljm2jahqKohCLxyclKch2yjp21QPQo5xNunDRYk488QRW33sfiqwwPDxMNpsdVyfWcZwwnKKQLzBv/nzy+Tx9/X30D/TzhS98gcsvv5zzz39zmCQW13Wf1P7jJ/n5L37Bxg0b2blrZ5nsB0l0hwNGIHUTi8fCTUYi7svZDA4NU1/nW2lEaEhvTy+2Y6OoKd+yeoj949q/v5Z0qqwMkUwmw/dUI7M11DC1iKqxaJrKtdf+PV/4wuepb2ggn89Pihfm9Yx4PI4sy5x77pvCuVSsOcIbpctqRYKV63oUcjn6+vtDnVlV8UP3HNelZJqhtu5UQ3gJPddD1RTkQF4yk50awjYaBKkXbeR6LplXyGYrFo8xNDREY2MjuVwO27bp7el+FRHaoDP+9Cc/GefIVw9c1xfs/9CHrsMNXP2KLE+KddA/h8N3vvf9sFLV4Zwix8rEFPdhO37lrMsvv4KXNm2mp7eHzo4O0uk0qubXCTctEfekYZrmfkljoq2KhWKFDqJZMvnVr37F+hdf5B2XXcaC+fMpGiW/HKKu8973vIfHH3uMG3/7Wzo6OnxdYNdPkBPC5qJCjOM4JJNJVFUN5dYO1YouyRKqouC6bljH3Q2unwg0X41ISd8dO3aSSCR8fUDHAcUPu8jn8hUWBF3TGBoeJqbHyGQzDA4O4rouDQ0N5EZyvOtd7+KYlSuYNWNGxf1UW+Wj0l3R0sJioyJ6qETl5iV6rCDjUUSPjf49Wk5XFHGwHcd/p7JUQfLFsflCISy0ImBaNlrYd2w8zyUWHJsK+s1o91VDDYcTYu4DfwxNn97GeW86l9vvuBNd08JNqyxLGEHCajqdRpZlhoeHD4uW6ysZjuOQzqQpFooYJYNkMonjOJimSSaTob+/n498+CMsWbK0Yry7rldhsBHzmJjvNm3aRDabpWSUfLku10NIdEW1dacaqqoyPDxMJp3GtCx0IJNJkx2nIM9kwSMIf4wIpMZ1nZUrV/LEk09OeWGJ8SB4gGEYpNNp9u3bx1+ffJK5c+dWrAeThUkntDW89hDqwKoq73nPu/nMZz9Le3s7w8MjvjVS8euaS7IfS6QqCp7rTWhCicVjqKrKU08/zVNPP83555/He9/7PhLxWEiITlh1EgsXL+Y3N97Agw/9hWwmg0c5/iqZTNJQX4/j+qUb8/k8siwftsGsq1oYkN/U3ERHZwe27ZepLJklPM8jFo/5Wouuhx7zPRdNTU2UDCOUAvroRz5KIplgwYKFofXVtzbI+03ugubpmooTeA/CsIQg7o/IcY7rVWxeopOJ7Tg4poMeVHMDQhef8ExIwaId13WKRomYrocbMFUph37U12XD6wtLeyq5vxqGeB7xjoU1RhwbJdE11HCkoASbQi8gW6qi8Ja/uZBcPs8fb7ud5uYmJFmmEGzastkMhUKRXC5HXV1dReGX1yMSyQQ9PT00NjSQzbbQ09uLpmo0NTUyMLCPc845mwULF6LIleWHvcj/RdgBkf93dna+ItrW87ywUqNYJ6dNa52yGNFqjLbdd12P1tbWw1JYYjx4nkdM1zGMEpZlEdNjbN2+nZiuIwpCTCYOzR9aw+sCIhY0russXryYd77zCkzLCivlSPgJcp7rVwRBkiache8nXY2QTCZJp1Lce+9qPvjBD3LTzTeF7npdU2lpbuZDH/4oV191FZIskwzKOLY0N1MoFOjs6iI3kkNVVerq6shkMoclaQyoII/HH3888Vjcjw3TVFKpFIV8IZx84/EYju2wd28Hg4ODjORypFIpFi1axKpVJ7Js2TIS8Rh9/X78U0zXK8isHlg1wSepIixEHFMoGuia76IzLZuS6YeEDI+MUA0x2emaSiIeCyeXaKiJLEth2eLcSA7wQx1kWaKzqys8v9BRNi0/yVFVFApFIyTOHj7RjkrxCMuuuI44zq0i3zXUcKQg4c9/UcthQ12Wiy66mHPOPZuRXI7enl4S8TjpdJquzm4Mw/A9Lbnc2Cd/nSAWizE0PEy+UKChoQEPj9xInvb2di54ywXMnzcXoEJXXcxxYo4S/5YlmZJpsmPHzjA340jCdXwZN8d1/VLErsfc9vbD6mUVEG1lOw7z5s0nmRpfVnOq4bkeiqri4RtG4vEY27ZuBSo1hScLNUJbw7gQcWTgE6YrLr+C+fPnYzs2eswXtNaC2F6h2uBXahm/ezU2NOC6bqiYkMlkGBkZ4Y+33c4///OnefLJJ7GDjl/I53n729/O//3yV3A9F9M02Re46uvr66mry1Iqlejv76dYKB6WLFeolE45+eSTaWpuCgs/WJaFHtNJJBPhAE6nU9TV1TFzxgzq6+oYGRlhWksLIyO5cCJsbvLLJpqBuka+UL5eRIoAACAASURBVNjvmkJloRixVIgKYh7+exOEsqEuiwchAQV/4hsc2l+pQmxgxHkLQVnNTCaNB+Fvpre1heEHgoQKcuy6vuSbeB4J/35EnDQQHg+EZFhYY4pGKbxuDTUcSUTj9QvBOGxrbeWaa95Nc1MTc+bMYXBoiL1799LW1koqmaS3p5dUKnWgU75uYNs2qWQSTdOwbRvLsiiVSrS1tfG2Sy5h8eLF5WMjBGcsjfWenl727N2D/AqQprId2yeyjht46TwWLFgw3s+mFK7nkk6nSKdeIUoHQYVTEeNcLBbpH9g3KTlA1TjyPaKGVwU8z8UJSArAB97/AdrntGPbdlhoQdPUMHFLkuUJxa/u7eggEY/T2NiIaVnk83l0Tcf1XHbu3Ml3vvtd/vEf/5Fbb72VTBCX1NLczA++/wM++Y+fpKG+nmQiiVkyMUolYrEYmXTGj3Wdgh1gNTzKk68HpFNpDMPAwyezhmEEpRtlNFXDsmx6+/qQFZl58+ayYuUKVq5cyVsuuIBMJo3tOOyLkExhbY267YWMl5gQRHiCWBCipLFQNEJiKMIioucW8a4l0/Rdq/jvOnreZCKOERBhCT+sQBwviLauqezt7CpvfILPTcumaJTC3wOYgc6kuB741v+oDJznlftaDTUcSQj5SSCsdgj+pvNfPvMZps+YEYYQDQ0N43oebdNbfdH/1zlcx6VQLNLY0EAikaCrs5NZs2Zx+eWXcdppp4XH2U5lGfXQIhshto7rF9rZuWN7GKZ1pCG0bv1EZb9C2cyZM4HKufZwoDrfIFN35GXlFEXBsmxfO19VyeVyJOJxnvrrX8f76cvC5FPkGl5zEMk/Ao7rMW1aC5dd9g6uv+EG9uzZg2EYxGIx9MDt4rkulm2FAfoHQnNzM7lcjpFcjkQi4cf9eB6yJ1NfV4cky+Tzee655x7uvvtu3vrWt3LRRRdRKBqsPHYlX/rSv7FmzRruvvsutm7dSl1dPel0iqJhYNs2hyMLWVzBMErs7dhLX28f6XQay7aYMWMGnZ2dKIrC5ZdfTmNDAzf+5je4rstRRy3hTee9CVVRePCBB/jjH/5AR2cXkiyzePFCrrzy6tA6ftttf2D37l1oqkqxaJBIxLFsm76+AdrnzOa0005j+fLlmJbNU399kr8+9Ve2b9/BvHlzyWQynHfe+bTPmUNc1yticMGfeGNBHOsTjz/GY48/zpYtW8hmsxy7cgWXXf5Okol42A8GBof4wy2/Z/PmLSiqQmtLC2+/7DJmzZgREtp0OkVvXx8tzc384U93MrhvH3935ZXEdJ1i0SCu6ziOw3Nr13LbH/+IbTskkwlmzZrJWWedzdz2dvr6B0JLdQ01HAlEY8+j86BITprb3s6HPvxhbvvDrdx7772YlonjOuRyObKZzKRI972aYdkWMV1n3+AglmVx7LHHcdFFF3LSG94QHuO6HopSLhQUnZ8q5inPRULhpZdeAvwE5MNVYGcsuK5f5tw36mjUN/hz1tSvPKND9Ne2adPYvOmlcY6eWshK2bDlBYnVar3GY48/xjnnnjvpVtqahbaGcRG1dOYLBZTAJXzyySfz5vPPp729HUmS/HCDSHWWiVTSKRQK1NfX0zptGp7rkQuqbCmyTNEwKBQKFAtFdu3ahe043Hnnnfzd313J7393M6qqMW1aCxdc8BY+9vFPcMnbLmH+gvkUikUG+vsZrZrXZEOiHHLg70YtGpsamRO0ich0zmazHHfssaxYeSyu6zI0NMTuPbvYtWs3zz67lt/89rcMjYxw/AnHc/RRi1i79jm+/OX/6xedKJXYNzBAb08fQ8M5cvk8A4ND7Nq5C1mWeOKJJ9ixcycAq++9lxt/8xtsy+bCt74V27LZuXMXP//FL/a792iohGnZ/O///oJbbr2VumyWU085hQvf+lbuu/8Bvva1r9Lb108yEaeru5vPffYzvLBuHQsXLuANJ53Ei+vX88UvfAHwXYzCItzS3MzO3bt55OFHWLfuxdBikQmsXC9t2sSPf/xjPM/juOOOZemSJTz5xJN865vfwrTsGpmt4RUFWZExTHO/hMXG+jquuOIKrrjiCqa1tPikpr5+1Lj11yP0WAxFUVi6dCnvetc1nHbaaX7I1Cgxs6MhjKMN4u23bN3mu68PgwduPCiyEobY2baNruskk8kjlowV3YDNnj1nnKMPA4KCClaQW5FOp3Ech61bt4Zr/WRiculxDa85OK4XWDxL6LpOKpnEtOzQHX3hhRfS0dHBQH8/tm1j2zZqoKeryOMn9iiKwuDgIIqsEIvHiBELE6hisRiyJJEvFGhuacGyrNDVtPq++/jTn/7M3Llzee9738PixYuZ//4PMDKS49577+HPd92FaR6epIGSafqleTWV1tZWli1dSkNDAzt2bOf000/j/e/7QJhotX79+nDiW7NmDQvmL+APt91GMpXiU5/+dJjxv2rVG/jKV77Cc2uf46STVvG+978fIEy2EmEAn/j4xzjppJN88uo4rL5vNW1t0/n4J/4RXVM5//zzefCBB/jWf/wHbuCyE0lbsixVLM47d+6itbWV6667DoB9Q8PU1dXxne9+l77eXlqam3hp0yaKxSL/51/+hfY5c8gXClx00UVcedVV3HLLLVx66aUA3Py733HHHXegKL5m8ZlnnOGXLY5MuLf+4Q/kcnl+8IN/C9tx8VFH8d3vfpfV997LBX9zwRGzctRQA/hj1gxcpiJeXEBkaZuWHyf6tksuYfmyZdz4m9/w3HPP0dDQgPE6jwNPJBIMDQ1x+mmncuVVV9PS3Dxmdvto3iPXc5FRQpd6d3dXSCCPNBRFwXNdFFmm5PpasLIiH/ZwAwHHcVBkX/mmpaVlvMOnHKZlkYnHsfN5JFmivr6OoeFhX2YzCD2bTNQIbQ1jQkw8URH/ajfBVVdfja7r3P/AA7iuSzaTYXhkJEgWUymZZlhgQULC9XwXja75MaW6FminBu4jEUvl2A4OoGt6KAGmKmrFcd093XzhC1+kri7LqlWreNN553HppZdy1jnnsn3rFn73u9/T19/HyMgIsiwjSzK244ci6DG9XAc8SGbzPA9FVsKkNtcePw44Ho+Fk7Bp2QwNDzNv3jw812P7th38+tf/S8k0uezydwY6ui6JRILGxmba585lZHiYK6+8Cj0Iz1AVhSVLjkaP6dx3/32cdNIqX9fW9SiZZuj2/PEPf0Amk+Xd73kvpmVjBVm/Lc1NFRakZCrN7Fmz2LJlM4sXL0ZVFEqmiaZqYVubpRJbt27lAwFxdlyPukyGuro6XMdlz+7dLFlyNA8/8giZbJbZs2b75w5ie+fPn093Vxfgu2aPP+44GurrkWXZtxi7DrZth9ezHYfBwUHa2trC68V0nebmZoxiMaznPlFEtXAFfNH2I0uJLdMhHo+HOsli03cwEPqctuPLpymyFLbPkX6+Vz0kv0S753lhOzvi/8Fm70BuUTE3Rr9fuHAhn/7nf+bB+x/gvvvvo9vsplQqoap+URTLshgeHkaWZbLZbOjZsiwLKahuJdzXpmmSzWbDYj6244RKALIiI9RlAAjuP4qKviFF/h54zlzXQ1H9Zxe/9/BCz5okSWiahuf5n4lKWJ7nh5Q5rl+5shTo7+q6HiRIlcudzpkzh3PPPYezzj4nbK9qMhu9z+reLFF2oUvAunXrKr5/JfR/SZYxSyaqqpJKp8ONT1QjfKohNgLiepZtsShIuIvFY+G8IyQ2PTxisRi2dXDz7MHCMR0UWUZV1HB9LZVKNDY2svaZZznv/PPCfjsZ7/LwtHYNr1k4rkcqmeTKq66mWCyy+r776OjsZP68eezeswdN01AVBUmSUGTZn1gdf9dtGKVD1usTwt2243D/Aw+wevV9zJw1k+OPO5YlS5bxta99lWefXcuTTz7Oli3b6O3rxbRM5KCc8MDAAOl0OhBDlygZJX8yPog9tlj4wLdIzJjeRlNTE5IssX37drZt34bneaxccSwzZ8/GdT0Mw2DB/HnEhOSL6lsgooUFstks3V1+opXQwFSCyfLPf76LjRtf4jP/+lkSETWBdDrNc889x/bt22htbcMolbjpppvQY7Ewo9i07FBXVlhtZUXhU//0KY4//rgKbVhV09A0lWQqieN67Nm9m4bGptBqIq5bl83y3AvPh+oGCxYsCLN97713NUBIxMX5zzzzTO655x5uueUW3nrhhfTu28fPfvYz0uk0xx9/wkFZZ6UqMuu4HkapVBECc6TguX6tej9OUDpo9Q3xXBWblGQSo1h8RTzfqxn5XB5VVTFNk3hQWUqikkiNhWqLIvgJjm95y5s5/fTT+dOdd7Bl2zY2bthAT08PmXSG6W3TMS2ToaGhkDCG53NdvKDaVCKRCKuRSbJPJlVNQZJlZElCkuVRE8/K5dPBtMyQiIo5T+QVyLJUsbmS8OdoKTyOkJh6brnErCzJyIqMIsuhkSCWiBGLxcjn85RKJRYuWMhxxx3LKaee6uuyyr7OrHWQJE9sMgQee+wxisUieqCaIJ71SME0TWJ6LCy409jYGG6IDuY5JxuaqkEC4ok4hUIh9JyGmxnHJZ/3+/5UQpZljFIJy/Y3bKZl4QZ68Vu2bOa8888L368YBYfyRqf2aWp43UDXVN7z3vfRP7CPLVs2s7ejg7q6OgzDQJZ8a4JvYQqIrSvjyoe+GJslk2KxGAbmq4pKT08Pq++7n/sfeBCzVOINJ53EOee+iWve9W5e2vQSf3n4IV54YR1DQ0PMmjmTXD5Pf39/IAIdC2N+RKLbeHBdDxTfSliXzfKGN5xCQ2MDtm3T2NhAbiRPLLBwa4rC8MgwLS0tLJg/n2kt0zAMgw0bNnDW2WeTCuKvXnjhBXZs38HsObPRNZWiUUJoyyqKwv0P3M+ChfNpa231rTbBBPr5z3+er3/9G3zuc/8f8XiMomEwf/4Crr76agByOT9uSWRrC8tfMhFn5bHHVhDqQqHAv//7v9PU3MyKFStxHIdCscjpS5eEi32+UCCZTNLc0sJLmzeHk1O0EtnQ0CCKun8G82mnn8GmjRv54+23c8+991DI++e6+OJLmD1r5oRqfgtCUb27t20Lz3WnfMIeD5qmoagqUAp1mz3PDS3kE7FKVC/q/mcuw8Mj1E1RCcnXCxKJBI0NjSQS8YqFdaKi716wIQT/PYlsfUWWSKdTXPHOdwKwfv167rr7Lv7616fo7Ookm81SV1fnF2SIeC0EgVRVFUVRKjL5XdfFcRycQAPcdV1fbzsgKftZWvFCD0rFMf5fAD9XQRzvOA62U7bQgu8F0zQNTdN8a7Jl4bguruMGcbAWsbgfJjY0NMT0tjZOu+AtnH3OuftVOYRKa/Zo/boatuOgyb72tgc89fTTuK5LMpuh+AoI5xAGGVmW0XSFRYsWoUQMBUcKiiyh6Dpz585l8+bNYZibX/jI14kvFItTPj+KDZvoz57rEo/F8TyPTS+9VGHFFpumiWwkD4SpfZoaXvMQCWJCbP9f//WzfPs//oM1zzxDqeTHwkbL44pAfkVRYBJi+j08dE1H01RfwNnz5bLy+bw/iDWdhx99lEcffxxd18lkMsycOZNLLr6YefPn8/BDD9HR1cXu3bspFotoukYykfAn0pJaoY14IDiOA1q53viaZ57GKpmk02k6OjpJJpMk5ASlkkGxZNDe3s5ll17KSSefguu5fPQjH+H6G67nuuuu49JL30Fn516efPIpZs6cGVrzdF3HDlzWD//lIQzD4B3vuCwkubqsYpgm//ntb7Nz5w7e/ObzOf300+nr7eU/v/Mdfn39rzl66RLS6RR33HEHw8NDDA0N09zSwooVKzhq8WIUWSKVTFI0Snzvf/6bzZs30zJtGlf+3ZVkMmn6B/b5IRmRCSeVTAbVzHxy4AaW0WQiHi5YqXSaZDIZhgWI5I6/PPQgmzdvZvnyZZx91tl4nscNN97ILbfewoknnkhTc/P+jX0ARImFh9+/YrEY1hS71MaD53qYsolpmejopNIpYnG/wtp4i/mBMDKSI53OkEqnjvjzvdphWia2Y9Pd08OM6dPD2PKDeTNik6nIUkVZ6iiWLl3K4qOOwnU9Ors6uefuu7j77ntIJhIQWFBVSaogpI7jUCwWQyuooighwRQarIZhhFbK6F2Lv4v+ERLawL0rxooobKLIcmidFdZfWfYroHmur/ktQiMEQdE1DUn2y4KvPHYlF154IcuXLcODMH+hZJooiuJ76YJ7c1xv1E3oaBBkx3U99g0Oks/ncV2XkZGcX7xmignZeJAlmaJRDKrEZZk/b57/+QSebTJxoKs1NTSwTVHCsBHRn5LJZBjaMpXQNA2zZIb9sWSaYd/r6Oyku7ubadNaiOl6MO7Ka8vLCdk4uKNrqKEKtuOQiMfCRCUP+NCHP8JPfvRDnn3uOX9C9DxkRamYfPy4MPeQQw78cq0yrudRzOUwigayIpPJZHxrp+dimhZ2EJPW19tHb28vL7zwAqqqMmP6DCRZpq21DcMoMhJIiAETujfX9cL4YuFKb2xo5Ok1z1AsFGlubkZRlFDSBc9j9qxZnHnWWeGAPeOMM8hkstx2+x9ZvXo1DY0NXHHF5Tzw0EPYloUbWosUpJjMgw89xIwZM2if42exep6LadkM7tvH5s2befe73sUpp56GrqnMnjOHb37rW3zja1/jhz/4Ptde+0GeePJJ1q9fz6xZs9izejUXXXwxpuXHWD37zBpuvvlmbMfh0ksv5ZgVK5je1uYnAiYSNDU1sXXbttDCKMl+JbH+vn4c2/EnpWCBlWU/HrGuro66bBbX9VA1f9HftWcPv//973nDSSfx4Q9/GPAnuy8vW87nPvev/Pf//Df/9qUvjdrmUYiJvDpARFUU6usbeMubz6/+yWGFrsdwg/hh8Gu/L1y4eFw5uyiqF8dYPM5pp53KsqVLcJyDi8etoRK27YcsNdTVh+TuYKiIHJDYaMZ+FNFFWVUUPAXaZ8/m2g9cywc+cC3bt++gp6uTzVu2sHPXLrq7u8mNjIR5B5lMBtd1/T9OYKENLP0iZECSpDAMQHwevT74BFeSfcucJAfhL5L/exEP6zourueG5AcgnUrhel6YY6BpGnXZLK1tbTQ01HP8ccfTPm8e06ZNw7Ht8HlFadNoiW3w1wvbccJ8gYlCbFLf/va3k8/7ZDaTzmCaR7b8ra77XjBB0JcsXRZ+N1o4yuHGqaedTrauDsuySKXTDA8N4eGRTqUPS9spihqufZIEJdNCVRU0VQu1yicTNUJbwyHBdT1snAqd0kQ8xgev+xC//c2NrL7vPgzD8CdDVUPT/YnMcZwJVRIbF55HoVgMz9/QUB/GlnV2dWGWSiRTKdKpFJquY5kmZrArlSWJ7Tu2o2vl5CgrIHYigH28kAPbcUKrzMjwCPHmJurq6igWC9iOTS6XwyyZaLpGfUMDSFK4yOiayuCQXxLymBUrOPbYlRSNEkXDIJtJ89vf/pbz3/zmiut1dHSwa9curr7yKoDQOp7L5dk3sA+zZDJz5szweWK6zswZMyiZpu+qS8T5/Oe/gCi+EF38HnrwQa6/4XpWnXgi77/2WoyiERZecIKwhKamZjo7O8MFazAICxA6wuAnENqO4/cN22ZoaGi/zYFlmuTzeS68+OLwM0mSSSZ0Fsyfz+bNm3k5iC4imWyWa9717rEOn3JEFzTTsjFLJTRdQ5ErFSbGQ/S5dE3lTW96E5LkJ13W8PIhMXp4wcGSEfF7sTGUFbmibHU0oU9AAmbOnMHc9nZOPuWU8PNC0WDH9m30dHezbft2LMvEMAxy+QKGYYTzqeu6GMUibkBARdKhZVrYjj+HZbNZRBKX7TihLm45TMJFJJdpWqBOE/yRZYl4LE4ylaalpYnWadOYNWs27XPnMmfOnP3bJyCvA4NDaIoSFsKBcnuqgbV2omEdImFIkSXq67JcftllAGFo1OjbiMOH6N3ncnmSiXg4970SxubKlStYtHgxuu7nsriuF+rD244z5fdYHUZgWra/qQq+j2743KpjD9Y6CzVCW8MhQlWUIOBbJpmIhxONrqlc8c53oigyGzZuYvPmzf5A0rWKBLGJVBMbC5ZlE4/HUVU/i7IoyLOmUVdXRyqZIl/IB/q5Cql0imQqSbFoMDQ87EvrGAaFYjFMxEgkE75FN3CvjQVdUxkZyZHJpGlpbsIwTR5+9FE2rF/PvHnzsGybkZERMpkMqqLQ39vHU0/9la989auc+cY3csKJq/jsZ/6FFSuO4R/+4ToScV+zcc3TT9PT28uZZ51dQTr//Kc70TSNE9/wBjx88mhaNnosxvQZM7Admw0bNrBw4ULAXxxF5a9UMlUhDu96Ln09A0yb1oLtONz2x9t429vextsuuYRChMwKKzzAwgXzeXHdurDoQWN9HYNDw+RyOVasWB6SZN/N6LePsEbK4SLqIUkyDQ0NPLPmaVqaW0gm4qiKL0k2ODREIpE8aFIB/vHid0rEzXmkEN28iD8CEyGzYtG3qhaCastXDS8fnufi4Vc0cj13P3musZDL5UmlUxWbjeqFWFgXqzc3TmRclQKXviz7oTJLly5l6dKlnHX22fudKwpxTkFULNOiGJBe13XYs3s3juNgWZa/WXfKm3XwXcK6qhFPxMlksmTr6qirqyOdTqHr+n79TsBxveA8btgXDdNEluQw7l2QeIkygRaQ8MMSouo5oyE690XnAxG2dKTHd3RTKvISHMd5xYxPD1/+Umwc5MCjBhwwPGYyIckSciSMoHpsRP8tyRIK48+JY2Hqn6iG1zTEALEdh6Lh6zHajoNpWiQTca688ioeevBBisUinZ2dAH7FEMsOXWSHAkVRKqSQVEVFVfxubVkWnV2dJBNJ0uk0tm0zPDyM53nouk59fb2f6amopFKpMP5W6OBONKhfUctWGFmSedc172L2zJk88MCDxBNxDMMglUphGAZNzU1Mb2tj7dq1LF++nJius2jxIrZs3cYjjzzCqaeexkubNvLDH/2Iv7ngAhqEhTQgNg/95S+0trbSUJcNLQFiUhiyTJYtW8Y9996LoqicdfbZ9Pb18sdbb8UwDN79nveEk5nYGU+b5msVrn32WTo6Ouju6uTGG29A02OMBMLw9fV1LFq4iAULF3HpOy7jpptv5kc/+iEXX3QRDU3N/Pd3v0tnZyef/dfPhQuu53pEtyrCOoDi95lZs2axcOFCbr/9DiRJ5oQTTiSVTvOHW37Piy++yD9/+p8PqmdEj43G0x5pVCfBSLLIHi/HXY6FKFESKASV4opVFfxqOHi4rhckrVa28UT7ULQUblSNRPxbxOQKVGTAa2pIiGK6PioJqt7UVd+R+F7MwzFdJ51OBXG4hGFJYyFKkqvPH7WeRRPe/D+R9oJwIyA2taqihL+BcriBpvoeivHIrICYqyTK1drG85wdLoh3LZ7Zg3ADPxEL9FRDouw9iJLviSTkTSaicdMelWoXwgo/GfdTI7Q1TAqEKyn8e6I8iZ151lnMnT+fX//616xdu5ZEPE4qnSKfy1NfX8fg4BCWbYVxXcLlZdt2GNc2Fg5EiiUkkgk/y9cs+UkKQvNWfCbIr9C5lZAq3ONCqmYs6HpZPxbFT4LbunUbwyPD6DGddDrNQP8Ag4ODDA35yVj19fWccOKJyLLEP/zDh/jdzTfxve9/nx/96Ec0NjZy2qmncuk7fPeaCCvYuXs3y5YtY277HLzI9cSE39LczLvf8x7uX72aO+64nV/88hdIksRxxx3Hxz/28cp7jizeg0PDDAwMsGLlSp5/fh2ZTAZZUSjkc9iOQ2trK5l0hiVLl6HIEp/9zGf481138X+//GVs2+b444/nYx/9KKlkosISAP5kNXvWTFRdw7JMdE0NydzHPvZxfvW/v+CJx5/ghhtuQJIkli5bxvvf9z7mzpvHwSA6GYq/vxyX1VQieo8TvbfRJnlBYmtk9tBxoEX05SyuY1mfBKoJznhW+vHu4kDfH8z9T+RIWT5wwhtUniN67ejzRdeIg0G0HUWfP9JEsRrimSXKhpBX2j1G2/5g+sdkoDrUJvpOJ/NeJG88n2oN4e70Qx+6DrNUCnc3YmdxqJBliR/88EdhUtXkvd5XBgThKpkmt95yC3fffTfDIyPE43HyuTx19XWhTmI8FiMXJGalkmXrx5FCGNMjSVimFeoN6jGd73//+8R0PawUZhglPM+js7ODL3z+CyRTSbq6umhqbMQwfDFpx7Hp7Ori4x/7GG8888yKuLqRkRzJVMoXKnecsgsrstMX4Q1QlsYSlmExMeQLBYpFw88cVYKM1sgzHchyUCgaQfayWnGc43rYQU12KI8HTVMZGhomnU5VTJbCCiWu0NPTS1Nzc0WcYXRCc1yPQj6P47okg3CVGmqooYYaajgIPFRbOWqYcggyG9N1/vZv/5YFCxZy0803sW3bNqa1TqO7u5tYLEY8HmdPXx/xeJyWlpZQVPyVDhEnlojHcFwPXY8xMNCPpqnMmDGdvr5+dF1naGgIo+STxmNWrAhjRuMxP4lKi+koshQmFkBZOUGEFwgyK76H/a08qWQy1JKtRrWrqWSaqIELsNriJwXHS/hqEuL3Imbac70wzlZ853pu6MIF/z5FWAMQPi/4lmfww0ZSqdR+rtkoia6hhhpqqKGGsVAjtDVMOUzLDolJoWiwatWJTJ85gz//6U5Wr76PGdOnMzwyQrFYDP/e2dFJa1vrq6IWejRTVJElmpubOfa449mxY7sv6SJJJBIJisUiyWSSKy6/nJbmZkzLDklktTtPkFQRl6YqCoZj4kFoCU4m4ge0too4JSeIYROJHdFQAOsAhFGQXjmwzkbPL2L1xDWKRsmPlwtIsUgAEFZcPbBom7aFHCQOCihKZVlR4e+QKAuD11BDDTXUUMNEMH6AYg01HAIKRSMkLdEM+5bmZq79wLV86LrraG1rCwXD+wcGyGYyl2pEewAAIABJREFUtM9tp7ura6xTv2Ig6J6wOCbiMa65+mqy2QyyLJNKpSgZpVBD8tTTzwD87GrX9SgFIuRAaIkFQm1Lx/VwXI+4roeW4NFiyRy3XM9dxCkl4rEwoSIKQUxNy9eOjAbPeJQtwOL8rutRKBoUikbFNRLxGDFd349Uy3K59KMsS8R1vYK8jiaaLc4gyLBQCKihhhpqqKGG8VCz0NYwpRD6tKqqVljnROzpmWeeydJly7nttlt5/PEnkCWZ7p4ebMuibfp0ioXiGGd/ZSFaqWrJkqOpy9ZTyBdwXRfTMkkkEkiSRC43gm2aoSs+aiV1XQ85iCAQJLFYKJAIQgiimfLRDQIEGaSun90s9P9kSa4ozekEma5jJU753/k3Ec2irg5JEFncUnBd2/FlfERlIHGMuIaoGiQ0LkVymOe5YSyxBGWpl4PPH6mhhhpqqOF1ipqFtoYphSBdulZZTadolFBVjZJp0tLcxAfe/wG+9tWvsWrVCSQSCerq6sfVgH0lwKPsKo/K1gAcd9yxvr6tLFNXV0cul0PXdfbu2hWS2WorpK6poatfWG7T6VSF9IoQRxextqJdBfEU/xfEVaLsxhfn9yjfpxfch2GamJYdHk/k/6O9CXEucT1d8ysEKYqC43r7WWEF0ZUoZzwrkfsUVtmopbmGGmqooYYaJoKahbaGKUUyEd9PnzEq1K/oehjvOW1aCx//+CfYuGkTd95xB089/XQoq/VKhUQ5NECRpYqkq7ddeim6rnPPPfdglHyVgxkzZ/Lr62/g6GXLfT3FgARXa8qKGFKRTAflBLEoRtMVrFY9cAOrrSCeUJaXEb8Tsa7RxCxBSKvjaAXZFMRYWIWrybOoyy30D1XFrxBkBs8kfi9+I2TIxGc11FBDDTXUMFHULLTjwMOXbnI9F01VMUol9JifdR5PxPEO8T+jZKDHYpiBNU5if6vdqx26pu6nRxiFIDPCJnf0UUfxwQ/+A1/58pdZseIYMpk0RaOI7djoMR1NU1FUhXgiHpRrlMPSjarmVwyzbMuvZIOHoirIiuzXKRf/liVMqxy7eihQZKlCf1WQsbiu8zcXXsgxy5fT29uLaZpsfuklcvkc73/fe9m4YWP4rqOETyCaTCfOdyBEiWg0pEB8p8iVNd5H+13191FyXf2bKDEW568+uzgm+r4lKkMsRiOuU0VmRVuL+GARm/xyYZh+kp7YMFRDnFvEJAvrcxTVluioxT2K6s+i/6r+e/TY6FwiYrwnitGs5Ad61vEQvSfRZjD+XBf9vvq61bHf1XDHeb+241TEr0Olx2UsiHcqcKC2ggPfpxO0pWnZFeca7ZhquIEHBCZ+zwIl0wzb5WA8IdX3aIzSdtXelYmcP9ofYP/riGNGGz8CjutV5B+MBttxDtjOUYwXwx+9wlj990DPEf1+vP4/1v1O5FmiOFDLVPflaH8ab3wcyvw5FVC++MUvfnG8g17P8C1ZMq7j8Oe7/oxl+bWyiwWfYFXXqD9YZLO+7NEll1wSLvweHrL8+threARtLFUSIk3XicXjnH3WWcyYMRPDMBgZGcEwDEqlEoZhkM/lMS0zrGtu2Tae56FpGvF4HF3XKZV8RQDXdXFdF1mWfVe3qiJLEuNFNYTvIijTqygyngeKqnDhhReOKxSuKArz5i8gmUiwa/duBvr7WbhwEXs79rJ27bM8/8LzGEaJmbNmoesaEkGcrCShKK+PPjDVEO1pWhaaqoZjS5YkZKnc60RXiPZD0T9H+16ET4i+67oerkd4TlkKLOCBxrKiyPtdTxzjeYRazLbt4Lh+X/MXcRdVrSydWnGPrgdS2ToevYaiyOEzaKpa8QxO0C6e6+G4Lrbj4rhu2OclyQ99iZ5PPKvtOJi2PW7/N0yzQmsZ/HYS/472cdf1sGzHfxZJbIbK30sQtoei+O0ZbQfR/uIepar3K+DHbsvhXACEzyna0Aneieu6eEj7zU8ShP3IA38eCa4dHiOVn1F8WigaOIG2tbieuBcQcnVO2C7iGJ+MueHn0flB3HMUPrH057vo34Hw2tUemdFgWrb/7EHfjPYfVVECsh70F4L7DZ7bdsrPAZXjp+LvVfchy+V+LwdtF7ZT5Nwl00KWlXAciz57IMhyuZ0hIKOSNOp7E+N1NESvII5xXL/KpOt65XcnyxSNkt9+cvk5BEa7hpiroOzZEuNCHCveyUTWh1Iw/kQ/Gg3Rvgx+6V7xPscbH0rgZTODssfi3t1gTjnMPGZnrbDCBGCYJo5t84lPfALwS6oKImuZh2blyxcKGMUit9x6634SStUxiK9FiEF7IETd7Lv27OH++1azZs0z7BvYh6L6CUaSJGFZFsViEdu20TQNTfOrd8XjfiKT4zjYweSryLK/gNt2WKbwQJhIYYWxEH2+nbt386c77mDXrt1093Rz8cUXs3DBAqbPmElTYwNQ3vG/1t/74YLj+olw0ZAKoYUrV5Gs8RZ3D8L4ZVXxk+HMoKhG9JfR44Rc2oEgqsCBIFrlcrjVoTrVGI2AC7huOXkwl8uTTCaRZSm0qIiCGaNJvo0GnyyWk/cmitHmsOgmQWCs9hcWM1n2q/hFjxrtGRzX104Wzx/tA+J8UPYgiPNPZMxFrYDVnpADHR99fx6EUnoS+4cHOa4vpydLMrrmb0BESI9PPCbe9tFrm5YdzmXR+xFtIxJIJ9oGo70HO9CnHu0co73zKA6mL44F8TwCsiyF1SbFM47Vhh4BGQvOoSqK76F1vYqxGYUYG+Nt7gREH5JlqeL9j3WNyUJ134+i+h2JsTve+DAtv/R8IhEf8x0fBjxUI7QThGnZ/P3fX4vr+G6qZCKBYZRCYvty0TKthe7ubm64/vpwAXNdb0ITy2sB1QvZgQacadkhOcjl8jz55BOsXbuWRx97DL/CWJxkKoksSRilErZlIysypVLZzSp23rIk4+EFFtex39+hElrwnymfz4dFEQDWrVtHU3Mz09vaws+qJ/Vo/GwNLw/jEdUo8auGIBMHQyJGW7h9a4YbLqxQ7t9jLfTV34mFUBCp6oU0SmAmShBsx/EtOEEbRBd0z3PDghrVZxKk/WDmKdOyK0ig45YrLo51r6PNCWLROtj3E0U1uYx+PtEzjtXOgliLjYRoY5h43xrvXqLfj7cBOhhU399omydBxqrHj2hX1/XG3NC5o5wfRu9r0c+jv4u28cvBeO17IERJXvW7Fd9X99eDvc5EiOTBjL+xyOyBMNrmJfosoz3neON5ClGrFDYeBKkoGQau44RC+aqmQSAqfyjYu3cvlmVVdE5X8jveeNbL1wJkWaqYsMS/xWdCZkpYKxzXI51Oce6553LGG8/kmmvexYMP3M8jjz3GQP8AAKZl4rousViMRCKB67r++QN3mOu6Fbv4qUQulyedToVkViyAy5YvR8K30Ins/+q+VCOzhw7RpoIMRi0gUeuoQDVpjEqeRd+PsARpmuq7/OGAxNh3yymjfidRjl9TFT+GOjeSQ1bk/aq9qUqllJksS7hBNw4JHv45o1ZeMa/kcnlS6RRS5HMxv7iuh0s5HlyRx14aJCbmRRCEA6hoTyi7K6sXP0GyFXl/t7hH4EbFr14nyKLIQagu1hGVthO/FVZKCYJ3XT53dDGObigFwRPwIJSbE78T/aHiecXxnkuxaJXvpeq5xOak2oIY/p5KQiI+j7bcaO+jUDSIxWL7tbEgS7C/pVls8mRZCvuJ6DPR8XMga6fE/n1VoHocRs8vUH1v1eNKlqWwj0iMTtDEJlKQ7mpiHd0MirYd7VzV3pyQvMoSSvCA0bYV84IYV4LcA+GG9kDtLiDGsCxLFQV3ot4VmNj4Ex6/0Sy/wmofzc0QMbPRMudjjY9qD6f43sMvAFQ9v041ahbacSAm1MGhYb7x9a/T09vjhxlIEoVCgVjs0F5YPB4nmUzyxS9+KXQ7CxzsDuzViuqBGsVoLrvqiUlMCvuGhrn7z3/i3tWrGRkZobW1lYGBAWy7XDFLlvzkMPAnmMNhoTUtG89zw2OjBRiqEV3Mazh0VBOiau3eKARpGWuReTmotpy5brl88ERcjNXPIPrTeO5dsaiPZsEdD1EXcjWiz/JyEG3naLtGN7bVGGuOGA0e+1uQqy3E1Rht0zLR64H/+2qCfqA2F2T5QCEZUG6j6OYpejdiHpFlCU3VKkiX0IMWx1eTUYHx+vXBWBpFn/Eoz61K1W9HI/Li32O9f/H9ePd6oE3leBhtwwv7P381xvp+vPutMGK5XsXx1f0wuompJpZThbHWWth/fFQfP97zTwFqIQfjIdrptm7dihaLkYgnAI90OkOhUBj7BOPAskxKpRJz5szBdT1KpRKyIo+Z0f5aw2gLwWiI7n6rF3go71gN02Tnjh10d3Vx1113k8vnyOfz2LaN51bu2kWs44EwGYRWQFgeopOY2K1XL2q242Ca1gHJVw0Hh+rwjXyhQDKZRGL0hVS0v65r+1miBKHUVG2/BbQYlCWOWsWqJ/bRFoLqBcoDigcg39WW5Z6eXpqam0PLiCByYu7aNzRMXSaDLPsWz5JpkojHQguNFpQtFtcdbxEab5GvhmnZWJZZ0d5iHEfbopr8DQ4Nk4hI20XnCdf1GB4ZQdd1VLVsaa4eT2LOiI6vaje16/o9QBDsYlAIRtfU/aTyHLcyxrWvf4DGhoZR20NsXGK6Ti6Xx3Yc6uv8JODq8wpCNZ4BYzRyOxp5j6K6XQtBOfFo36r2TETnqkLRwPPc0GNQ3V/H6zOjjS/RJ8Q5xXMJQmk7DqVSiUQ8Eb4XYREU1xWb0wOtH6JvRd9vNcYi0dF2c10Po2ptjm5UTcvGLJVQda3i++h7EnODaPexNkzV5Fy8Yxg/Lj8Ko6rNqttqtPFR3RfHGh/ieDFHmpZNyTDQYvqR4DA1QjtRVHe+kZFcRUxkDYcGMSmKgRvdKY83YQpUW8LE7/YNDbN50ya2bt3M9h072bN7N0PDw8GiOvYCMhmEdrTYQTFpV1tvRptganj58ICn/voUe/fu4Yw3nklzUyOGafLoww/T39fHFe985379K5fLs3XrVjo6OrjggreEn+cLBV5c9yIvvPA8nV1dWJZFW2srS44+mhNXnUQ6naJQNNi0cSM7d+1kcHAf6XQG1y5vmoySgSTJtLa2MmPGDJYvX869967GMIqcdsYb0VWV1fetprurkwULFjI4NETJMFAUhVgshmEUsW2HOXPmsHTZMoYGB9m+fQeLFi9ibns7RpBtLPqPadnce+89zJo5i6OWHM1jjzxCd3cXTU3NdHV1kq2rB/xEV8Pwi4C0trax+KijmT1rJgB7Ojp44bnneXH9Ovr7Bqirr+OooxYzb+58jj12JePhpZdeorOzk9a2NubPX7AfuRyN0HZ1d7NpwwZG8nlOPvkUmpsaGRgcYs1f/0pPbw96EE5kGAayJGE7NqVSCU3VmD59OkuWLGXatBZuueUWZsyYwYqVx5JMxNm4aRMvvPAC05qbOfnUU4npesU97OnoYNuWLTQ0NHDMMcdUPMfO3btZ98ILbNu6haHhHJIES5csYdGiRSxavHi/uUD0q1wuz5qnn6Jkmhx3/Am0NDdVPOuejg42vLgewygyZ047Ry85OrTeRl3zWza/xLZt25BkmeXHHEP77Nns3L2brZs309XViappaKpGoVDA9VxSyRTDw8PMnj2blcceR3NTI13d3axZs4b+vl7S6QyO62KW/NC55qYW2ue2M3tOe0Wi4nNr11Io5Fl+zIqK5FVdU1m79jm2b9/Gho0byY3kmN7WyrLlyzlmxQpampsZDSMjuXB8nX3OOb7cYmQezBcKbFi/nm3bt3HGGW+kqal5vz6zfdtWNm7axPnnv7libjVMky0vvcSza59l585dlEolmpubOGrx0SxbvpxZs2aOuZYUiga7du1kx/Yd9PR0EY/FcT3f4p1IppjbPpfFRx1VsRkwLZtt27ayd88eMpksS5cuJZ1OVZx31549bFy/nv7+PuLxBJIsU8jnkCSJTLaO2bNms2DBgorfeZQt2vlCgScefxyAk085hVQyOaGN5R9uu43Zs2Zx9JIlFSFMwuPx+5tvYu68+SxbvgxN01n/4ovs2LmDGdNnsOqkVUgw7viIfr912za2btlCfX0Dxx533OFex2oxtBNF9U6qRmYnF1Lk/9WDYCJkFkb/neN6NNRlOemkVZx00irAn4B27dzBjh07eOSxxzCNEoVCnlw+j1kqhVYeSZJwHMe3sOTzSJJEOp6mWChiliaesFV9X6IvjeaKVOTx4xdrmDgk4MknH+e551/g5FNOwbRs4rrODTfeyMjICLv27OZT//SpCqtnMpnkL395kJ07d3PBBW8JF+/Vq1dzxx130NLcgqqpSJLEtu3befTRx7jt9tv5z29/G1VV2bDhRf70p7uY095OsVhgeHiYffv2sXjRYgYH9zGttZVHH3uUaz9wLQAP/eUhdu3axflvfjNbt2zhueefZ++ePbyw7kVs28K2HfK5PHV1Werq6hkZGWbNM8/wxjPPZOeOHfzsZz/js5/9DODHvkXHi6Io3HzzzVxy8cUsXLSQvzz8MIODg9iB5NZILkcul2PatGnYlkU2W0dv3/18/vOfB2Djpk186YtfIhaPUV9fTyaTYXh4hIcefIibe3/Hueecw1XXXENc10OSVu1GVxSFn/7sZ1xz9TUcfdRRRKHIZbUF1/XwFH9D29nRyY9+8hNs26attZXmpkYS8TgPPPgg3T3d6JpGXV09vX29GIZBY2MjlmWiyCoNjQ2cuMof63fdfTft7e2cfPLJAHR3dXHTTTeh6zqt06dz9FFH+W5yxY+rVRWF733/+1x99dUVhPbJJ5/kxz/5Ca7r0tjYSCKRAOCBBx/kd7//PW8843Q++MF/qCCqEj7B2rFjO7/81a8YGRnhYx9N0HLGGciSHB6bTqX56c9+iqqotE1v49+/9a39rPC6pvKnP/+J5597nmQyycknn4LreiQTCX7845+gaSp19fUosowb2KjS6QyFfI61zz3H8Sf67dHX18eNN9yIqqnMmjWLXC5HyfDjbE3TJF8ocNZZZ/HOd/4tyUQcWZbYuHEDjz72KN8/88zQsqxrKj/96U+5d/VqZs2che3YJBNJOru6Wfv883jXX89/fPs/aQgs0lAm+KlUiv/6zn+Rz+fZt2+Aq666qmIjn4gnWH3ffWzYsIEH7n+A73z3/4XnEGEWvT093HLLLZxzzrnYth0SzB/+4Ps88fiTNLc0E9NjqKrKwMA+fvnLX6IoCv/yL/+H5cuXV1hPo1bLeCzGyPAIv/jlL5g2bRqO7ZDJZDCMIqqqccvvf08sHuerX/0aLc1NgG8x/e1NN7Fj2zZcz+OXv/gF4K89pVKJZCKOpqr87Oc/p76ujsbGJgYG+oMNhYNt2+TzeXRN49v/+V8oihyOYxFz/vBfHuanP/spmUyGhYsWEZ81u4KTjEZu93Z28bubf8dpp53KCSecAJTfgSz7cn2r778fVXmI733ve7iux4YNL3L/Aw+Sz+f58Y9/TCqZrLSIJ1P87Oc/58ILL+SYY44Jx67oF7fd9gfuvONOjjv+eJYfc0xFqJ249sGG8hwMaitnDa8biEGvayoLFy5k+owZnH3OuUj41qGhoUG2b9vOunUvsGHjRjo6OvyELU0jk8lg2zaWZeHhkUqlXjcxzq8FOIGVVEz6MV0n3tzC+vUbWPfiiyxftiw8VpYlikXfKircmtu27+CWW27h1FNO5sorr65I8nv4oQe54Te/4Y477+TCt76VK6+8iksvu5yYrlMoFHjskUe5+957ePe730373LnEYzF6entoa20F/I0TnockySxdupQPTZtGOp0hEY/R29fPN7/5DY4++ije9/5rSadSoRt4IkuCYRTJ5/MUiwVSySTve//7aWttC2Nwv/Wtb9LZ2ck3vvFN4kE+gHCT79qzh298/etMnzGd/5+99w6To7ryvz8VujpNT08O0oxGKGsURlkoYARIAoQkkmBNskHY/pm1F4fd9bu7fh121xmv13EdAINNMMYsYIJRFkhCAQUUUc5ppMkzHau6qt4/qm519WgweNf7e7y8c55Hj3pmqqtu3bq37vd+z/ec89nPfY5BdXWeB6X5QjO/f/55Nm/ZgiRJfOSjH/WuqQXUAjfke1kuZ6Bomqf51AIqr/7hVQKBAMFgkJWrVjFh4kTCoSBf/ed/9uZcR1c33/j61ygpKeFzn/u8B2r88zISiRBQVU9ykss5OTyrq6t5/LHH+eq//DMhTSOVzqCGFWzbRgsEUOQ8MN+x420ee/wxBg4cyNL776ehvt4L9mzv7OLxxx7lzTc3UlZewW1LlmBaTpBaOBQkpGmsX7eOnGEQ1IJs2rSJK664AlmWkN2gokBAJRwKUVVVzYWLFzh69ChDhg4tcPtblk1rSxtFRUW0trWhBRzNbC6XIxwJs2DBAm6++RYUWSKr656LPBIOkUgkKY0XkzNNUskUJaUl3HP33YxvmkA4FPQARvOFCzz++OOsWL6CCU0TGN/UhKoopFJJTNNCAgJqANOy+e0zT/PGunVcd+21LL7pZspK4oADOPe/8w5PP/003/rGN/jXr33NexZiJPzkxw5AHT16NG+/vZO77roL2beRl2UnDaOqqrS1t7Nq5UoWLLgecOIOHDmQ7oBxXac0XkxnVze/feY3bNq0mXlz57L4xhsLGOKTp0/zg+9/n+985zt84QtfYOzYscClUiRJlkgmeigrLeXOO+5g0uQp6NksiqoSDgXZseNtfvSjH/Lc757lgQceAODsuXOcPHGChssu4/SpU5w5d47amloUWfLGZHd3N8FgkKuvuoqbbrnVu54WUGnv7GL9ujdYu3YtO7ZvY/bs2QUyupbWNpYtX0ZT0wSOHDnMiy++wKc//SB/DkslU8TjzrOTZYmengQ9PT2UlpTw05/+B3/3t38HOO+5SDhER2cnAPFYsTfHwSn6oxs5Dh06xLz583n77bc5sH8/kyZN9NZdCfqUhvw57f9q1tt+67f/21awi7Ut70UBEHVzcwqQW1lRwbRpU1m6dCkPfec7PPXkk3z729/hi1/8In/3t3/L/UuXsnDhQubMuZKm8ePp7u7u65L99pdmNpiW5aRtc1/AWjDIwLqBlJWV8cgjjxSMC9OyCYdCmJbpafROnTiOYRjc9ld3EIsV0d7ZRTKVQpElZsyaRTKZ5Pnnn/fOEXIZlmgkQs40OXHiBBWVFc75bMsDs+AEhsqKgu6mmKusqPDYuYqKct7Zt4/2tg7KSuIe+xcJh0i+D/1+OBQmHA6TcwH9oLo6tIBK0GXZwuEQzc3NTlEPWSKZTBLUNHp6Ejz15JOYlsXSpUsZVFdHMpXyAOegujoe+NSnqKmpYdPmzXR1dXueDXj/OlvTsr3ATDFXW1rb2LNnD7ffdjtjGhvZvWs3um4AeJIfgNJ4MaFQiM7OTiLhkKO71HW0gEo6k8VyWT8jl8M085lOioqKmHvNXI4dP8aqFSsACLvfB6eoS1bPZ7BZvmI5bW3t3LZkCQ319QCea7isJM4tt9zKkGHDWLtmDW3tHSiy5GS/wAHXO3buZNasWcyddw1vbd3KoUOHHHcyuG1yMiUMGFCDqqqs37De22QLMLh161t0dnUwprGRUDBIIKi54ECho6MDPZvx2G5JkgmHgpTGiwlqmicTUBUFTdNobm4mGo06G7dM1pM01FRXc/c99wCwa/dOenp6AMjlnMI1Ns7mo7Ozk9Vr1lJbU8uixTdSWhL3qo+FQ0EmTZrI8OFDOXHyBGfOnAG3H7K6jm7k2LhpM7Nnz2L48GGcO3+OixdbPLArXOGyK32ZNm0qa9asYfv27Qhz9KUyWkAj51Z7TKdT7Ny5k6amJm6+dQmVFRWe1hegob6e++69l6yu8+abbxb8DQq1tJmsTjqdpqa2Fi2gUlQUJeTOx/pBg1ADAfa98w7gsJZrV69GVVWunTsXQ9dZ/tprXrpIcQ3LtNCzTlu1gOr9My2bspI4M2fO5OzZs6xeu7YAzAK0t7fR3NzM9dddy7Bhwzl+/ARCsvbfNcu20IJ5QG9Zjgxv+vTprF+/gc2bNwN4WUQM3Q1EVGRvjov2vvrqy3R0dHLj4huxbZtly5cBhdXG/G+EfO//+awf0PbbB9r8k8YfOGJaTunI91py6+sGMmDAQEY3NnLllVey5NZb+fjHPs79H/84FeVl7/HtfvuLMdsBTgKkSJJEeVkZN990E2fPnuXVV172Ds1msxRUypIlimIxTNPk8MEDWO4iFI1ESGeyBDWNJ379BP/x059iWTbtnV1AfnFWFJlIOExpaal3fmG6kUOklRMmxmx7Zxe6rlNRWUmx67qV3AXEsuxL0nr1ZVldJxgMeoVGxOLT2dWNZdkEtSClpaUY7lyIRvMavoMHD9I0frzHXitqPghEuH5vXLyYZDLJoQP7CWqaVw71vbKHCFPkSzMmrFyxjOLiYq66+moWLlqEkTPYsH4duuFkKxFgJKPrhMNhL3WQJMleVoag5qT0ymQyDlsq0mW5DOwVV1zBNVdfzUsvv8yJkyeRgO6eBKqqYts26VQSVVG4eLGFw4cPc/WcOR6r19LaCjh9mUylGNzQwOKFi+ju7mGHC7wURcEwcrzx+usossyCGxay5NbbCAaDbNu21XEn++45mUyiKiqTJ07k0KEjQKFUacXKlQwa1MDgIUMIhcNYpkU6ncGyLSKRiJNGksINvG7kvOctQEWsOIau62QyGQ/4+q+VSaWclFSK4gWwOQFAAXTdqTp1/NhR0uk0t922hPKyUiSc/rZtyxvzH71vKT/4wQ8ocseT2EQdPLCfgBZg3rz5TJ7kuMGXr1jmtdnIORsXRVEIh0N85J6PkslmWLFyJVlXEuFoZp2gXll2xs6e3bvp7ulh3ty5ebY4nfFAXyqdYdy4cVw150o2bd5MOp2fFBf2AAAgAElEQVRBliWPnTWMfHliEfzU2dHp9Z/o1XAohKI474bOrm4i4RDrN2xg8qRJzJg5k6rqarZu3Yowcc5YvJhYcQzAA/Y50/TeR2pAI5VM0jCo3gO7Inhv+7atFBUVMWr0aCZOnEAmnebosWMFgPy/aqrqSKeEBQIaxcUx5lx1FVOnTuWZZ56hpbWVcCjoAFh3rqbTaW/MiHtYsXwF48ePZ8TIkVw1Zw579+7l5OnTHqsuLON6EP4c7e9t/YC23z7Q1jvfrBZwAhAUl5n11zX3m2Xla6XDpTpeWZJJJJL02/8Ckwo/WJZTplILBpkxYyY3LFjAb599lpbWNjK67rjWuroLooPLyisYctkQfvSjH/PVf/4qa9as4djxEx7LlUwmPRd7WUkc3ch5300mnXHS0dHpsliO/jKVzhAIqIgqdkIvJ5pbVhInkUg6QU+5nKdBcxjINO/Hksmkm3XBAXR+V7wsS3R2dZEzDCw3oa1YnM6fPwfA3LnzMC2bdCZLSNNIZ7KkU2nCoSCqojBq1GhSyRTrN2xw2qbmgZV//ryX+VmcjZs2M2XyZDLZLA2DB1NbW8uWt966ZO6GNI2WlhZvjiuy5N2fYEeDwSCWZXlaSclNtyhJEtffcAOKLPOb3/zG0dqXxJEk2bm/iAPELlxoRlEUxjc1eW2scF3ZWkAlFApjWTbllc7v3n57h3c/WkBl+Yrl1A4cSGlJCUVFUYYPH86uXXuAPHsnSpimsxlmX3EF7W2tHDh4EHA2RTawb98+rpg9G4BMOu3JCQwjR3EsRjKZ4tjxE05pXdMkkUhiGDqJZBLTsglqGpZlk06nKYnHkaR8X7V3dmFZNqfPnOU3zzxDfV0948c1kUgkvT4MBoNemrhDh5y2DRs+gs6uvJdKVRTSqZSnU4/FYlRVVQL57BOvvfYawWCQSCRCY2Mj9XX1rFyxkg73PGL8mKZJV1cXVVWVzJo5g7Nnz7J540YCAWejouu6kxPeLa168MABJCSGDBvubbYi4VB+PLg5aUeMGElXVxctLRe9dpuWE9Ev4cxJSZIpKXG06sJS6QyOxnQ/HR2dTJ40iZJ4MSdOnqS5uZmpU6cBMGfOHLq6utmze5fnXrcsm2QiAYCsqpimVZBO7+z5ZrZu2UxNbS3jxo7zNoWRcAjdyPHqH16jsXE0oVCYsePGkUgk+cXPf1Gw4fmvmqiyCQ7QVBSFnGlSXlbO7bfdRnt7O6++8gq64QRch0Nhp+Kmq9M2Ldvb+HV0dnLF7NnYtsX1CxZgGAZvbdkC5DegADndcCUm70Un/en23++Rfuu3v2DrnfGg99/87JBp5Ss6ybKT1NoPdv2fxS663/7yTVVUd+Fznp9wnYID4BYtvpG33nqLJ574FQ8++BnAARmCLUqmUtTV1fH5v/1bHvvlo+zevYdTp04hy87C19rayv/5xCeYNWuWp8kTbm/BgBUVFWGauYIMFkJfJxZlYal0xisjGY8Xk844TJOEL7AmEikAge9mRZ7W1yoIxsjlHH1oSTyOZdse26xpGooscf7cOWKxGB3tbY520m1zOBTEdFmtZCqFFgwiKzKHjzison9r+H4kB8JUF8gcOXKElpYWrrjiCopjMRRZoqlpPG/v2ElLaytFRTECAZVEIklJvJh4PI6mFeZzFZ8VWXXKErsMVM40Cbvyjs7uLgbV1XHLLbfyk5/8hA3r13HllVdimSa6oVMaj3ta1O7ubmpqa9GzhWWOhb46Z5rEi+OoAZVz5855i7xu5Dh//jxzrrzSkyg0No7mP//zefbu28eoUaPIGTaqGiASiaDrBsNHjiQcifDG668zauRIFFli7969ZLNZRo1uZMP6dQR892QYBi2trSxfvpxNmzY5G6x0xpGOBIPEi4tZuHARCxZcjyxLxGIxehIJHn30UX7wwx8SCYdJpdNUVVWRyWTo7u7mU3/91zQ1jfeC1hRFIZlKYRgOSE8kkoRCISegrShakFnDH6Xvz2FsWTbHTp1g7969LFy0kPIyJ6Bqzpw5PPXUU5w6cYLSpvHepi7gYw4X33gTF1taeO7552kcO9bTxqqK6mnjE6kUkWiEspI4GV13iArTIplMUl5WRjQSIZXOUFVVRTQS5eCBAwwaNMiRdrgabnAYS0WRaWlp4Y116/n9Sy8RKy7mwvnzaMEgmXSaaDTKh66cA8Cvfv1r6uvqmThpIgDz51/LKy+/zLp165g+fTrgMr62zalTp3jppZfYsmULrS0tTtEf2yIWK8bQda69dr4XvNXTkyAYCrF961tISCy57XYUWaKhvt6ZDzt3/tGc2u/XJEnyvCkSDjOeSCTo6OpkxIgRzJs3j3Xr1zN69GimT5+OGghgmqYjYzJNJ9WapvHiiy9QXlbO6MYxqIrC4IYGKisq2L17N7ctWYKiKFg5xxOlan+83Px/x/pX5H77/4WJeuhAAROWdXelgvmBPAAWuTL9WQck8NiRfvvLNxuQFQVJyjOGfqBlWjblZaXcddddPPzII2zauJGp06dTHItx8eJF0pms59qvrCjns5/7PFpA5XxzM7t27uLw4YMEtSBPPPEE69av528+/TcENc3L9ZrVdff6sgfa/PpS07KxLQtFVTyXvgCzghWxXP0vQDKR9NjV95NlQwIy6Qx2L0+FGL/JZBLblTz4o+plReH8+fNksjqy7AQwiUhmRZZIpTNEIxESiSSxWIzKyirAmTOy7LBdfWXx6G1iAyCA9qt/eBXFvTZAMBTCtm2aLzTz6iuvcO+99wJ47vBcLgeS5AFuoOBzOpWirMyRBqmKgmlZBAIBQi5jfc0117DlrS2sWbuWYSNGOuV+AxpGLofk5qpOJBKkU6lLMtuIMaUFHOBsWRYVlVXee+TZ535LrKgISZY5dvwEHe1tqIqKoiisf+MNxo4ZQw7TDdBzQE9I05g0cSKbN2/xUkOuXr2KpqYmJ3hHcth1VXY0jPF4nJKSEiZOmMCMGTPRtACmaXmsr64bjHWzNWR1nZ7ubjRNY9LkSVRWVpFNpymOl5BIJti9ezfJRILVa9YwbPgIylztrWmaGIZTZMOybErLytC0gMfS9X7OrW3tVJSXEQmHPNClBVR27NgOkkTDoAYOHT5EKpnCtm1Ky0rZuPFNxox1wFDONAkGNbfKo7PZuvqqqzmw/wCv/eFVrrtuAYqiEAqHkN3NYC6Xo6uri/bOLk9yoBs5KivKPSY8Eg5x4cIFJ6VZNOptTDSXvZZdhl9RFDo7OkilUpSUlFBeVkZ1ZQWSJFNfP4gx48bSUF/PgYMH2b1rF9OnTWPfvn3IkuTIOCIRTp85Q0+Pw8rGYkWUl5dTV1fHsGHDGNPYSDqTJhKOkM5kaGttYe3rb7Bp02Y+9KErqamuJhYrwgbeWL+empoaUskkW7duIxwJE4sVUVVZyYb165g/fz7/XYu43oigpoEElmV5/bpw8Y0cPXaM9RvWM6ihAVVVC6ojBjUnoHLTpk1UV9dw4vhxOtrb6OnpoaSklHPnzrFz5y4mTGhCdt9XIU3rk2D6c1g/oO23D7T5dVHCnKAC5+d3yx0pFmThKlMVJR+57EaD+1P09NtfpkmA4tZuFKyshCMZkaR82qgZM2ayceNGfv7zXzBt+nQs00SRFQ/kHTlyhGAo7OVmLS0r47rrruW6667l9JmzPPLIwxw7doyoy1CJcRfUNIJakJ6ebmTFKcvq1445AUQBbMsi0ZMgVF7mveidCPMURUVFKK5WsKgo6uj7uro9UPfHzDQtpxCAWpiIX3yWJIl4SYkHBMTfZsycycMPP0wimfCAtT9RuuwCphMnjiNJEsOGDgHeXzlOv/nnXyKRZPOmLQRDQX79xBPIkuQUDAg6GRC2bNnC7X/1YSTJKT0q2pNJpT322rLypTclHMAuAnpkWaKruxtd1wuylNxxxx380z/9E29uWMf06ZcTiUZo72hHC6gUl5QwqL6ed/btY+iw4Z4eUDDEwg4dPEh3VzeNo0c5bdJ1Xlu2jGQqxe9+9zskHMnJ4MENmKbJuvUbeOCv/xpVcTYKmUzGO9f06dN5bdkyzp0/R3GymLe2buOBT34SzQUS6XQa3TCIucxfIpGgqrqaSS5L2BdbLUq4FpeUIEkSw4cNZ9bs2c4Yc0HnwkWLePKJX7N8+Qp6eropLytFN5z8vtFIlEg45GQVKCkhlUzR3tFekEBfZH6oKC8jkUjy9NNPMXPWLIYMGUokHOLAgQO0trTw618/wbnz5ygtLUWWZRKJBKvPn+e+++9HdTd/uZxJOp1Glp2UUOPGjePqa67hlVdeYfz4CWDbZNL5PmsYVM/JkydpvXjBk/xoAScwT5bzOb+PHDmMqqrMnDXL02SHQ0FPm64FVLBt6gfVc+eddzibDvPSdHSpdIajR48SDAY5feYMX/ziF6msrCSZSDpZQoJBXn99LYsWLQKgra2NlKu3Fr/zZ1gYNXIUv3zsMY4cPkw04pRK7+zq5tChQyQSCb7xjW+Qy+UoKyvjzOkzlJaW8ObGjf9tQKvrOooi570NOScorKy0zMsgcdWVV/LrJ59k8+ZNTJkyjWAoRCKZ8MbOyRMnaG1txTByPPrLR+jpSWAYBpFIBMMw2L59GxMmNCGRLwqj6+8/7eWfYn/a26ff+u1/mfW1C/xjrtDef/ED1rBvYez9t377yzUzZzpBN76642oggOVGvsuyRCaT5d777uPv//7veeQXv0ALBkmn056b/jfPPMPx48f55aOPFmxkUukM9XUDmT9vHt/9t3+jubmZyspKLy+rsGQqRSgYLKgQJRZII5dDNwyKix2A5G2qZAlVC6BndVQ1z5BKOCwdQHVNLYlEgosXHU1g0gUVwk4cPwZAZXm5N24l8rk31YBKMpkk7l5bLDpBTaOktJR169Zx5ZVzqKwop6cn4UXHi8Vox47tpNNpFt94kyeB6L1QSbLiSRyE2eAljU8kkkSLohw5cgTd0HnggU8ysK6OgKaRM3IEAgG2bNnMs88+S1tbG9W+DBGO1j0vvRBMr2E4eXYDmoaE5IGHcChEOByivaODgbU1AAysq2Phwht49dU/ECsqxnZTqAFUVVaRTCZ5a9s2brz5ZgDSqXQBmLWBbdu3Ulwc44aFC9GNHO/s3Ucmk+WvP/lJLhs6FCQJww0GPH78BI88+gh79+5l7NixXGhupqioiLJSB0AOGTqUaDTK+vXrGD1qNKWlpU76KCNHLFbsBbbpRg7LNL0MFuCkMvPYa9Nhf8HZuMiy0wZd16mqqnbKgFv5ylUhTWNC0wRWrVpNy8UWBjc0oAVUdD1LJuuAR9O0GDx4MIbhFOz42P0f864tCotEwiGefvop1q1bz5Vz5hAOhzh56hTbt2/n05/+G0aOGolhGBTFYtiWzYH9+/nZz3/GhnXrmDt3LtlsFiOXIxRyMoyENI2Orm5uW7KEFStW8MvHfsmihQ4oFPNg3LgmVq1azdq1axgxYoTr2bAL3tWpdIaTp84wcIBTXEELqBBQvfmsBVR6ehKEI1F6ehKYOWf+WpYNSv59rxtO3tvly5dTXl7O//MP/0AkEqWzowM1oJJJpfje977Htu3bPfAqS86cERtBKAycvGzYMCRZpru7x/vdM089SSaT4fOf/Sx1DQ10d3YSLy2j9eJFXn9jLZs3bfFSDuZME831JIqx7gQLquzevRsoLPttGDl6enqwLIuGhkHYtuVpfnVDp7u7y8vEMmnyFBKpFE888QQDageQ6EkQcOd4JBxixcrl1NTW8sUvfhE1EMC2bLKZNOFoEb/4+c94e+dOwJkn4ZDzDtTUwP8IS9sfFNZv/dZvH1gTetRIJEI4HPYihwFMKw84w6Eg8XgJCxZcz9bt29m1axeRaMRbEMeOHUM0GuXtt3fi115H3MV648aN1NfXU1lZiaooDlh0j9O0ACUlJU5gDXjBEVpAdUtTqg5jmM06jJj7d13XSSaSbtWnMLLkMCl+9qkoFqO6pppNmzfT0dXtaRp7ehLkTJP/+OlPqa6upuGyy8iZpscOi6AMTXUAcy5nkM44RUVENojFixbR3NzM8//5nCstKMJyAVI6neH3L73EmrWvM7qxkeLiYpeNzoPZrK6TSmdIJRNe2z3Zj9uGjJBkAMuWL6OsrIxxTRMYOmQIg+rquOyywdTXDWTUyJGEQiFWrlju6dd1I0ckEiEWc6LHLcsu2ETIsiNFSGcyXrtyuRypZMrzsqTSGUKaxlVXX8Pw4SNYvWY1qVSKstJ8qqt7772X7u5uvve97wGOCzmZSnn9uXbNGjZseJPhI0Zg6AZaQOXNDeuprqlmzLjxNAwaRE11NUOGDGXYsGGMHtNIOBzmd889R840HZdyKoWu51M9TZo4kQMHDrJ8xQqqq6s9t30mk6attQ0Q48fJyJFJO0GCpfHiAoZf3LfYjEuygqHrJJNODlfxPNIZZ+yFQiFKSuLoen4sxuNxYkWOC1xVVYYMGcq06VN59dU/sG3bNsAJLBOA6ciRI2x56y2amsYzbNhw0ukMy5cto66ujhEjhjN0yBBGjRxJ3YAB1NcNZO68uZSVlbFh40bAmVOJhAMoxRgRBRq+8tWv0tPdzX8+/xwAnZ0dZHWdiRMnMHPmDN7cuInXXltWkNFEBCT95Mc/4tixo1x11RwvHkLMU2GxWBGW5WhDhf68t9dBC6i89dZWcobB/HnzKC8rpzhWRF1dHYPq6hgxYgSTJk3i5MmTXmo9RVGwbBtNC5JKZ8jounfdnGmiqo6Ew8gZ3vjaf/AgjY1jGDtuPHUDBtDY2MjA2hqamsZz0003E48Xc+DAAa9NIhhOWGm8mPHjx3HmzFla29q9IDMRsLh65QpyuRzDhw4jGom4m2gHEsbdCoLpTJZYrIjhw4ZRU1PDq3/4AzY28eJi0pksJ0+f5uCBg0xoaqKivIKB7jMdNmwYA2traBg0CNuy2b//ABJ5sC3L0p8dzEI/Q9tv/dZvH2CLhEOk0xm6Oru8ogQ2DmsbUB2Wq6enh/KyUhRF4fbbbmfPnr0cPXqUSMTR2eVMk/Hjm1i/fgMPffch5s2bR93AOioqKrhw4QK7d+/i+PHjzJhxOZl0hmhRtIApTaVSGIZBR0cHpaWlBdG9IU1D13VSyRSqFvDaB65coUwjnU7T3tnlATkBSiWcRWvhwoX86le/4jvf+hbXXXctwWCQ1rY2du7cRVtrG3ffczeDGxrQjRxqwLm2YKXS2QyKqhBQA3nPhbu+z507l1OnTrFmzVqOHTvOvHlz3fK7WZqbz/Pmm29y2ZAh3L7ktoJF39MjumxySVkZWlBj+47tnD9/DsPQAQlJkghHwtTW1DJk6DC2bdvG3GuupjReXAC8AYaPGEHdwDpeeull5l93HXUDBqAFVNrb2wiFwuiGqPzk5rQVG45IlFTSARVOCjaZ4nicWCxGVtdRXd1y3YABLLj+en7yHz+hp7vbdes7G4cr51zFkSNHWLlqFd/45jdpbGzEtizi8Th79u7h+LHj1NXVcd/SpRQVRcnqOus2bGDY0GH5alK+/h04YADDhg1jy+YtnD/fTF3dQDe9mOH144KFC/nnr36Vzs5Olty6BGHhcJiy8jICQQFUw0QiEXbt3o3y9FOk0mlPhqCpAZAkVFXl1iW3uYFnWYKhELJPTgN4+tGqqmpSqTSnTp1k1qxZZHQnJ2tnl5NCTjzTxYtvpK2tnR//5CfMuPxympqaME2Tffv2sXXbNmKxGNdddx2KLNHc3MzGTZu4fPo0ampq8ZvwgDQ0DObA/v2cPd/MwNoa4sXFJF2QrioKlmXT2d3NwAEDWLx4Mb955hkqysupramho6uboKYxb/61HD9+khdefIHz589RWVnJoEENHD5ymLNnz7Bt+3bmzr2G+fPnO7ETmlYgUREeg1QqhWma6Fm9gOX1e/aWr1hOKp3m6muuyfejz2HX1NTEa8uW8eILL3DXXXehas48hrx+XZgsycRjMRKJBIcPHwLg9OnTdHV1MX/ePE/GBHmvTsOgQQBs2LCB66+/viCFn8hoIcsS8+dfy969+/jHf/wHxo8dy/imJkKhEIcOH+KFF15k3jXXMGnyFMB5FplMhlwuh5nLkTNVb0M0YsQI7rzjTn7+i5+TTCTIuNKBDevW0d7RweIbb/Led8L7A3DlnDmsWr2ap55+in/5538hoAb+R4CssH5A22/91m8faIvFihh82WCvZn0mnaF+UD3l5eVoAZXystKCDAA3XH89y1asQHUBr21bDB0yhL//+7/nqaee5OSpU6xetdoJ5FIU6uvrufXWW5k7d653zYhvgSkvK2PkyJHIilIAZgWorKqsxNANJ2Jb00i7LHIwGESWJUYMH1GgC8zqOpLLrra2tnLTjTdSHIuxZu1afvXrX5NMJqmtqSGZSrF06VKuvuYaIB8spRs5p/RtWCFWFGPEiBHoOcOLVHdSFzmAdOnSpdTU1LJi5Qqe+8/nkJBoaW2lpKSEaVOnsmjxYmprary2mZZTzCDgBob19CRI9PRQVlpGZ2cnPd09ZLMZV0/sFDAYOPACkuTc5/ULbvD6R5YlD6gGNY3585z+7enqRq+sQguojBwx3Evl5F8oRT9HIhFP9yzLErmcSawoRnd3t5dHWlxj0qSJXDtvHoeOHKW8rKyg4MMnPvEJLrtsCC+/8jLHjh2jtLSUdDqNqiiMGjWSu+66x2PWNm/aRGNjI/fcfbc3rvScQUjTPIZq/rz5hEMhLjSfJ1pUxPimJioqKz2NYf3AOhobR9PV1c3kKVPwW2VFJZ0dHdRUV5NMJqivryeZTLJnzz7SmTSBQMCpAFVSgq5nKSoqIu1G50uSxLjx47Fty/UOBMjlDBKJJMEyDVXTGFA7gFzOyfcb0jRqagcwfPhwVBeMpDNZhg4ZwicfeIAVy5axavVqtm7bhqoqSEjMmjmTO++629ucqQGVkSNHMmPGLEIuSygYdnHMVXOuRAuoHD6wH8s0KSsro+fUKSDPoJaVxEmlM9ywcBF79+2j+XyzEzhXFMWybIYOGcKXvvQlHnvsUTZv2UI2m6W7u5v6+nqKokV89CMf9SqOCcAlQKoIcrIsm9LSMiZOnEgw5BRBkVA84CusorycqsrKS3JB50yTnGkyZsxYPvShKzh2/Dht7R0ADB0ylBJX2pPVnZy+WkBFliVC4RCTJk0ilzM5eeoUe/fuJR6PM2PmLG9TrSqKJyEBmDV7FqdOnSbjBq72lvpYls3YMWP41699nd8+8zRbt29n3/536OrsJh4vZsmtt7DghkXEYkVkdB0zl2Nww2VMnDjR89TYlu0xv9OmTWXrW1s4feYs2E4e2fb2Ni4bfBl17hwzLRuJ/PwbOmQIU6ZMprOzC8uXqux/Qm4AINkiVLHf+q3f+u0Dan7tKjgBLFow6NWBT6UzaFqgQBvrZ1IEMBEShrTv7/5gkZbWNtRAgNJ4cT4Awshx/vw5x/1GnsEUL3TdyGHZllc+sreL8/2k58noOpZpEQ6HPKbJb/4UYrqRQ3HBdUbXyaQzBZpQP7j3X9sfQe4/H+T7V9ybWBBFKxxtYtiTY4jf+xkwEdUvpAMCgEu+45KplAciRLoowbCDs/D3LrmbSmcIBoMFgEQc21sHn0pnSKVSHtjtq+9NyyabzXpBM8JE+yHfH+JeRZ8mfMz9xYstxEviBN3j0r2u5b92Kp1BUWSCmuadyz8mQ8GgA74kuSAozrJsWltbvXyw4AQUFsdil4wRMfbE3BDjMKvrdHf3eGyzMHF9AdJFqqlsJkMsVlQwlgXz2peJ+2xr76CoKOoBM3H+tvYOyspKsS0by7awLNs7b0dXtzfXcoZxSSYK0Yb2zi4nzzCXBlT6x7v4+ey5s9TX1SHhgC+j17zs7OomHA55GXL8Ju6nta0dwBtLoq1+My2nTHIgoCJLsqOF9YF9v/UGgbqRo62tldqafL86Xgcnf7aYR6qi0Nnd7c1d051LvUG6OOf58+e8lGa9ra+5JNoqmFlZdmISJFny2OK21lZKXBmPuK//AVD7Rj+g7bd+67cPrPkXBt0oLCn5buZf4PwLolgQ/GbjLG6l8eJLXtB/LAuGOLY3MGxr7yAWi3lMrGla+RRbqZSzmCgKaR/A6Q1QdMPJSuC/tgBY/nvzf7Ysm0w2SygY9NhEf9/lTJNsNkvE1dqBsykIRyLO731tFIAzZ5routEnGBf3L/pIfM9xe6a9c4jj/BHhvc/h/9nsBaTfzXoDTihsO1wK7DPZ7CVjwL9RMi1HAylLsqfh7N2OvsZE782GAJVCvtAb4FmW7aWFEwE2HtOIcz+64QTFCeCi5ww0NeBE4LvnE888Eg5hA129gJ7QCPcFQHrPJX+b+gJj78fEpqX3GOhtImhRbJzEJslwxz04rG5bewflZaUFcgK/9dXH7wdI+p+5f0PmsfHvcf9iQ9l7U9v7O7rheIdE23p6EkSiURS5cGNnWU7WHv98gkuBeu/rmJbtpoyTLzkOKNhk9TWXs3o+5eW7bRr9m7LepML/gPUD2n7rt377YJtgL8WL1f+iz+o6elYnGAq5Gsy89QaUwvpaKKAQpCqK4i1apssa+sGEaTmvXcG0+SsH9XUN4R7uDbR7W28w21uL2leWhT9mAsiKxTOr6+RyuUsAp7DeoNBvAiAFXDZHgDMBYvw/+7+jKorHYgOYOad6lVhIFbeuvH9jAPm2CRmELEsF7K2/7TZ4ukCxeAeDQc/FK/rTDxT94KF3u/3WFxPlB4t9bbT85xOf34vR6uvvf2ycvNuz9zOSIsjOMHKEQkGP9fVvegQoEucTQNF/X4ItFD8LllBcR2yO/MyiOE6w0Ol0mnA4fMl8zOg6tu/5+/vOBjp8m9FkKoWqqh6LKY4R49HPcPY+r/96IU27hL33zy3hyfEzuznTCTbzbyiEG16Mb9M3t/xAVXxfjDf/hizjA/h+8z9HKPQg9AbfAryGXJmTGMv5wz4AACAASURBVOdwaVYg/3uxo9dm3nb/LsaJ2ODk3Dnrf+/23qD+Gawf0PZbv/XbB9/EC9e/2PkXCD8Y9eqWu8eJxVe8sP2uOvFi7r149HVu/zn7Ygh7s3ECDPuBrmB3lF730BeQ9N+LWBjF7/zX8i/Moo195bntfW0/6PYDbtOyyfnAu3/RFPfaG7CLY8T/vZlPicKF1e+6h0vZQz9Y89+f/757yyLezQQg9jNb/vaIPhX3JJ5Jb0Div7b4LP4XbfaDud4gWfws/vd/FyjYkInzibYI9likkxNg2n+s5R7TmxH2H9P796Lf+wL6/n7q/bzEOfybDtF3YtMhrvluUg6jj40A5IFib+lJ7/70t8n/t3e713fL/ewHh6IP3u0Y4BLGuDfQTaZS+IP2TMsu8IL42/dun/t6H7zbsVB4b31tsKBwc+yfb5blSA362pBC4bXEXHyvzdl/0d7oT9vVb/3Wbx94EzXnZVkincliWvnypOC4qm3yeRKzemFuUwmXMXF/zupOBLS/+pffZElGN3L09CS87wqGyrJsZDfPqXip59wFrb2zq+CafvchOIuMbVuk0k7gmAhcCgYLWSTTyrMjggkDCsCsaHMkHPLOLxajkngxupHz+sfGuXZfbA247IwvYMVf9lQsZl3uM4D84gdOf5i92DvBgImFUlxXXE8UmBC9nnHTTol2JhJJ71phFwiIPrYsJ6BF9YFZcf+A913/5kWA7ZxposiSVxZZN3Ie8BCAxc9s+XtLABbb9zmoaY5sIJBnLYV2WFxDWB5AO9Hyoo9TqRSaC2azul6wOVAVhda2dhTZKUQh0kUJsAv5Ps/5QFUqnSnYuPjBjQBvkB+//pyqqqI4XgoXoAIEfOVOdSPnnVuMAdu2PCAsy45LXVzTcM+R9W1ysm6fibaLZ2ODk7/ZByzFOPZvUKGwBKt/fPW+VxEUVRIv9u4H3HHrA7NifvR+F4jzgCsjsOyC41RF8TbF4GSu6P3d3im3wNlIibGSSmcK5l80EvHaB3gbmKyuexsmyINXP1AX/SrMD2Qzbi5l/7jOZJ1nnUgkvX7s9M11LZDP3CLArPfcfecxLbvg57768b2sn6Htt37rtw+s+ZkA3XBcX6K0rDCxGPmZPN3IVxHqzdhkMmkCAc37Xe9rQCG74Xen+s8lvmdal0oOBNPhP3dnVzexWKyA2RRmgydtyGSz2LZFNBIp+H5v1ka05b1YFb9ZlpM+SaRA87OO/msJy7rMrTi/uJZg2nprk3tLK2xwqxldGnzjZ3H70kHa5GUEwgSw8esGbS4N+oFLWWTLKmRc+wq0E5sHwZYKtjBnmh47qiqO5lOkdvP3iSzJXqCiOK+qKO/K2oo+140chqF7z1cEOYrrwqV6Xz9DKq7Vl+wmqGneGPX3m2iv/7q9mT5xvr5Y66yeTwMmzK/1lui7CI54XrYbINZbEuC3dxsjva2ve4dLPS267khuIpFIAcsq2iQApm3lmXYxxsU1RJUsMWcFm+1nYUWbxDP3g1B/H/fW4MOlOu1380T4AzUhP5ZypiO5UVXVyYai5gGuAMhiQ+pUMswz7+AEvxXHYt54yeWMguf0P6il7Zcc9Fu/9dsH2/qKVPcDNn9AUm/Q+cesta2dolhRAQDry03b292a1Z2UPX73PeQXFMFgiL/5QZAEHssGXKJv9S/YWd1JnC+ChvxZF/z319cCI/rMtArd7X0dI0ywp6oa8L7jB2D+zy2tbQVR8/5FuK/29AWWxe/9fQX5c/ufxbtlK/CzqDnTLAAl/vYIbaNlFbrl4U/TA/YeC3ApcBbWVz+IfhIbJ9u2CvSg0Pf5eus7RYCbGBN+YNTTk6AoVlQgd/G3+48BEsFminP5JQSQHyNBF9z3Blq9+6e3RCajFwbBCROAUpYlDzj3TpUGhfP+3TaIQpft1wX3NX7ENYK9QDn0vSF8P+Da/xz8Yz6dyZLJZguypwgT80psqnq/U0RglziuN+AV5/Cn1eq9cers6kZVlHxu7V79IQL1rF4b8z82r//Yphn+eEXPd7F+yUG/9Vu/fbBNuOtaWtvI6I5UoKfHKTGZzjiAULiSAa+6j3BlZnWdZCqFZTk5GYW7v6K8jJCmeSBYuFnBAQWCnekNYMBhcCXyjK74H5xFzMgZnvzAMHJ0dnVjmqbnjlddxtIfQJLL5Ryw4t5jUNM8VhB8IMMtlSrcgmKR6elJeIBDRDYrsuSxnS2tbQWufLGgdXR1Y+MWgnD7QyxGgmUGPHclQGVFOclUysvRKSQH4Mg1RDtaWts8tq4vk4C0+7xEHwqg3BdIBCddFuDkX+1JeL9XFUe3qCoKWV9bNTVAIOD0kSzny/72uN/1u+lNd4ykM07VtYzuSAB0I1cwFnKmma8i5Y4f3XAkE6l0xmNWM3q+mlcq7RRfEO3QAk5+XtF34v79cghwxnNADZDVddraO4iEQ5SVxLHJjwmhxdWNHLFYERJ4wFk3cgVARhQkSWey3vPTjRzJVIpwKEg4FKSltRXbPYcfmGia5skTVBfM+se+yN98vrnZO5/4HjhjVZalgkptGV13ij4EVA88ybLkjWuR1xny0gZw3Oyi7/1SAjOXI6g5HhjxDP0a81Q6470XQr7+95uQMIEzhtvaOwhpmgf4VTXgAbfWtva8zMW2vf4Qm9es7mSPECm/hF5bHCf6wbatgk2wmDeRcIiMrntSFcuyaWltpbeJjQA4gDvl67fiWMxhpXHGgKzImJZNMpVyAuBCTjBZxvcdAWbFMZl05hIpArgadauQV5X+dDAL9EsO+q3f+u0DbIJ9feedd3jx97/n1KmTpJIpItEIsVgxkydN4sMf/jBQyDq0tLbyyiuvsHv3bmzbpqOjA0mSGNPYyPz519LUNL7P6+3du5cXf/8S77yzzwF4wSBlZeWMGzeGG2+6xQPXWkDlu//2Xdpa2/na17+OIjvBVF/7+tfoaHOqX5WUlnDhwgWqq6vpaHeuHy2K8slPfpJ4vIQTx4/xi4cfJpvNEggEKC0txTRNEokEo0eN4trrr6duwADgUkYoZ5p885vfJJlIctONi7l8xgzvb4Lp+da3vsmFCxdQFIWgFnQKQygywWCIsWPHsGDBDZcwLFld5+LFFjasf4MNGzbyt3/3d9TU1HgyD8Ge6kaO7373IaLRCHff/RHKy0o9UCFASVt7Bz/+yY+54frrmdKruIBglL785a8wdepkbr7pZlLpDL/97TOcPHmSyvJyPvXpTxewQjZw6NAhXn75JW7/qw8zqK7OO5/f5ZtIJHnouw/R1uaUmC2OFbubCZP6+jqumP0hJk2a6H23pyfBoUMH+d3vnsO2bQJaAMu0UAMq2YxTmlaSJJAkvvyVL2NbNi88/xx79+0nlUygBgJgg+bqoCORCNOmTmH+/PkF9/u9f/83urt7yBk5EkkHTNu27cgx3IpnX//6173nbFk2Z8+d49FfPkqiu4dUKkkikWBQQwNNTU3cfPPNXl93dHXzgx98n2g4zOc+/3lPuuJn4R57/HEOHjjIP/zjP16S3uvll1/itdeWoes6oWCQgKZRXV3NkiVLGDJkKFqgUNLjZwDF78W8OHjoEM8//zxlpaXct/R+7zpaQPU2Ed//wfepKC/ngQcewG+bN23iteXLOXv2LLFYzMlooKik0ylMy6KispKWixcpjhXzd1/4Au/s3cMf/vAa3T3d5HIGFRWVZNIZAoEAhmGgBYMUF8f41F9/ikg0yi9/+QjHjh4noDmlatOpNFndmX/xkhKaxo9n/vxrvfvM6Drf/va3KYpE+JsHP0MimSzIuBCNRHjk0Ucwcyb3f+xjBeymjTOfvvav/wrApz71KWprasjqOg899BBnz5whGAwSiUS9srmRSIRsJkt7RzvRSIR/+96/k8sZ/OhHP6ShYTALFy6ipbWFp558koEDavnIRz5KKp3PbiBY4ZUrV/Hmpo0sXriIsePGoQVUWlrbeOSRhzl18iTlFRXs3bOXsePGUltdzaKbbvLmk27k82ofOXKEb33725SXlRMrLubQwQNUVVczZ84cFt5wg3efhnEpu/xfsDfe26/Wb/3Wb/32v9SikQjr1q3jkUcfpaqyiltuvoVYURFtHR3s3LmLlatWYdsWd9xxp7cInW9u5ue/+AUtFy7S0DCIMWPHUltTy/Yd29ixfQePPfZLpk+fxh133OldJ5XOsHz5a7z44u+pqa7h7rvuJqCqdHS0c+LkSVatXsPFlhbuuuseL9F6NBLlVOo0ipwPnmk+dw7TshjUMIieRJLy8gpi0SiWZRGNhAmFQhQVxTwgee7cORobG6mursIyTTdJe4C9+/axecsWPnLPPUy/fIYHcgRrsv+dd3hzwwaqa2o4ffYsl7v34ckhZAnbhosXL3Llhz5EUawIPauTSPRw5uw5NmzYwKaNm7j33nsZPXoU4CxkQU2jvm4gkyZP4a2t23jiySf4ype+5PVTaalTI/7pp55kx44d3HfffQVV1fxubl3PsnvXLq6YNQsolBfIsoSMQldnJ83nm8m6LJqezXLk8BGOHT3Klfv2MXbMGO/cWV2ntaWF7dt2sHDhIiCvL5RlyQseKyqKkklnKIoWMWZsI9lsFsu0ONfczOHDRzh58hT797/DXXfdBTiV6GRZ4eTJk1x22WXU1tSQzqQ9JlJTA1i2RSaT9cB1R3sHZ8+eYcqkScTixRiGQUAN0NXdRfP5C/z+9y+x7519fPazn/O0mnv27CUaiTB8xHAawoNQVAXbdnSM0WgUQze8a+pGjre2bObJp54EG8aMaWTo0OEEgxrbt2/nhRde4Ny5s/zNpx9EliVK48UcOXSY0rJSr/8FyAQHTHZ3dXLmzBlCgr1XFFpbW/nhD3/I4cOHmTZtKo2jxxAvjnH8xHHWrH2d73znO9x6660sWLCgABznTBNNLoQfAuC+8frr7Nq1C8MwuP6GGwo2HpFoFNu2OHjgIHLjaKAQHFdWVTF48GCKYzFKSkpIJBNs2rSZ4uJixoxppLg4TqwoSkm8hLKSOKZpcuHiBcaMaSSgqoQjEYysTkbPkjNyhIJB1EDAy7LQ1tbOhYsXGDduLKqsoAYCxOPFZHWDEydOsOy118ik03z4wx922N10hr179mDoBlVVVdxzzz3ohiNrETKnd97ZjyzLl8gAJGDl8uUcOnSIWCzGxQsXKS0ro7uzCy0QYOLEiZimiWVZbNy0CUWWmT5tGoqqMGBgLRFXt69oGnv2OJXHwqEgVVVVdHV2cfLkCT7ykY963hgZxdN9v/32DnbueJsHH/wMWkDl9y+9xH8+9xyRaIRxY8YyurGR6669lk2bNnHi1Cm+9Y1vcOeddzJ79mzAYdIPHDzI97//71RWVDJt+lRiRTGmTJ7M3n17ePa3v6W1tYV7P3ovEoWBY8J6yx7ej/UD2n7rt377wJpp2axes4aGhgYefPBBKisqPFB33XXX8c1vfpPfv/Qyc+fNp7Kigo6ubh5//HGOHzvGwoULuW3JEi5ebKGqqpJJkyZyfmEzv/rVr1i+YiUTJkzywNyhgwd5c8NGKisrufPOO2lqGu9pGbO6zu9feIEVq1Zx9Mhhysun09zcTE9PD62u68+ynCjkaLSIQCDAZz7zuT51ueKzZdmkUmkikQhzr7mGyy+/vICF3blzFy+8+AK/ffZZSktLGTt2rPN90ynNue6NNxg1ahRIEtu2buO6a69zXM3+fKI9PZSUxLnnno9QVBT1QExnVzd7d+/ikUcfZePGNxk9epSjLTV0L7Bm6NChfOhDV/Cb3zzD1q3bmDx5sqev27NnDytWrmTuNVdzw4IFQF5PpyqKp20FiMViRML5qG9/EI6EE/HvlwGk0im6uroYOXIkK1YsZ+jQYZ6L1pGHyIRCQcIuiJYkuUBDK0sy3T09dHV1MmZMI/fcfU+BrvPkqVO88vLLrF6zhurqambMnOnmq7UpKyvjlltuZsqUKd79+K2ltc37nLNMJEnilttuZ2BtTcHxLa2t/OpXj7N92w4uXLhATXU1AJFwmGHDh3HfffcXMKQirZVgumwFTp86ySuvvIoiq3zlK18pqBR2zTXX8Npry/j5z3/O0CFDmX/tdY6EIagRCjm6ad11c4s25d3bOXK6QajI6e+HH36Yc+fOcfttt3HLLbe44zLFjJkz+asP38knPvFxli9fTlVlFVOnTnHPYRZE5IsMHaqi0NOTYOfOncyYcTk7drzNyy++yH33fwxVVVEURwqiqk42Ab98w845BQiGDh3K4MuGeBruVDrD9u07mDhhAp/4P58km80iSZInZUgmU1imyZLbbqduwEBs8DaYnk7dlb847bYpKSnhnns+SkV5WcFzO3n6NP/+ve+xes0aZs6ezcABA1FkmdLSUiLhMKtWr2buvHnU1NR4uXEVWSKoBYlE88VI/Jrj5StWMHr0aM6cOcPLr7zCyNGjqKqq5LOf+7x33bb2Dg4eOkQ8HufDd97lVc0DX5os2ybnPkNVURg5aiRr167l6NGjDB06FFmSPQB5+uwZTp0+zYeuvIKykjg9PQlWrVpFWVkZ/++XvkxFeZl33tmzZ7N9+3YefvhhnnrqKUaMGEl5RQUAv332WbKZLF/68peJhEPeOJ0wcQI/S/yMDRveZOHCxZSXlyGBB6b9c/xPtX4Nbb/1W799YM3IGezdu5eSeJxK90Ur0h1Zls1f3X47mqZxobkZcEDcwYMHmTv3Gm5bsgSAYp+LsLamhrvvuQdN0/jpz37qLHLAypUruNhykQceeICmpvGItEem5WhZFy6+EUmS2LxlMxJQW1NDOBQiGu0dIGRy9uyZAteb7i6o4pxeEIiuYxiG93e/pGBU42iW3n8/586d4/jx4552L6hpZNIZNm3ewuTJk7nqqqs4f/4cFy40F2gZdSNHOOq4L4UrXIC/0ngxU6dPZ+aMGbzxxhucOXcOy82qIOEssKqisGjRYurq6vjOQ9/xwHAyleI3z/yWaDTKLbcsKWAAwWVMZSdQS9d1172eRDdy3qIHji7SBrRAgGDIYRIty0ZTA4wcNZKFNyxgx/a32bF9mxON7/ZnJpNBkmWwLw08EXrPeLwYWZYJuUBadoFNKp2hYdAg7rjrbopjMVauXEU0EkFVFBKJHjo6OwiFLg08E7rEyopy7zloAQ3DMAqfsyE0wBVUV1cTCKg0n2/22HsbG8uyPDCbM02yuk4sVuTpJYU2e+vWrezZs5sHP/MgVVWVnh5SgITrr7+OwZcN5pVXX/EybJimkw9VkR3AZ1l2XuerKFi2c32Rgmv//gPs27eP2bNnc931zsbEsi0PaOq6zkPf/Tfa2tp46eWX6HD1k4qiEFDzKbOEjhXg/PlznD59hhsW3MCoUaN4Y/16VFUlEFBRZMkr8YskkUo5mlChJbbcvha6bwBJkshkMuh6Fll20l8JMCv6LplKEQlHHJe7C7RFWj2xSbQsJ81bcVERzc3N5FydshZQSWeyWJZNQ30948eNo7u7m2RPwnu2qWSKyy+/HNuyeOihh7Atm7KSuKeblSQJw3DOl81mvTF59nwzyUSCRQsXMnLECPbvf4ee7p6ClGYA8XgxOcNAlmVKS0q831uW7bHiTkBjvkjIlMmTkWWZZcuWAc48ENc9fPAgJ0+cYMZ0x2/z5BO/pru7m7vvvrsAzAqbPHkyH//4x+nq7uadfXu9TfyF8+eZMWOGd2wg6LyfaqqruW/pUlKpFOfPnSXljjGgQMv8p7Kz0A9o+63f+u0DbCFNo6SkhMOHD3P2fLMHCsFZjEaMGMHPfvZzRjc6rulXX3kJyzSZM+dq7xxi8VVcnWLdgAFMnDCBRCJBJp0h0ZPg+PHjlJSU0NDQAOTdtWKBjIRDPPTQd/nMg58hnXFyphpmzmMkvQAJ0/QApFjkvTynipPbVrzoI5Ew6XSaoqIYlpUPEgFn0aqtqaW4uJi1r7/uARTdyLFh/TqCoSB/9eE7mDlzFtFolBdeeMFhtNzFRQuo5AzDBY35ik3CQprG9OmXgySx/o3Xsax8YEc8XozpAoDPfPazBLUgjz7yMBLw9o4dHDp0kNuX3EZVVeUlLKY/n2k4FEaWJQIuoAEHVAp5gWHkMHI50qk0WkDkALWQJInJU6YyafJEnnzySYysL6ewqpJOpQkGgwXBZn42yDDyVckAT1crFubSkjjDhw+nq7vT+57mai5LysqwwWuvqFAG7iYhFKS9s8sJjpJlDzhpAdUL1gNIdDtBi2UV5UiS7Pa/SjQSzWeTUJz8pal0pjAaXtc5cvQYjWPGMHLECMC5BwGshX3961/nG9/8NkE3WKm7u7tA/iHLkhcMp+s6hm4QCoW8IKvXlv0B0zRZuHChF3gkWE0bJ5CrOFbEtKlTOHfuHDnDaXdnV7fXJ2LMCJfzs7/7HYMGDaIoFuPa+dcSCgbZtPFNJFz2Upbcqn9hLxhL3JdNHgQJAC/JEqFQiFzOvOT+g5oTXClJDpC1KcwhLMCsv72WbaHrOjXV1V5AXDgU9MbL8RMnUFWVoljM8SJIEjY2oXCYL3zhCzQ3N7N8+XIAokVRTMvRXMuyMw6ikYjX9t88/SSKqtI4Ziz3LV1KKBRixfJlXjo+/93Yto1h5Lxgqpxv3AGYlkUo5DwjgOEjRzJs2HCOHjvGqTNn3GOc9GBvbtrE2LHjmDx1GgBHjx1n8ODBTJkyxfGeKHnYKILTJk+eTDQaZfmKlYDTt4qqsmvXbt555x1s8hvurK5TW1PL0089ReOYsY6Hwz2f7NvcGL732fu1fslBv/Vbv31gzbJsPrZ0Kb9+4gk+/7nP0jhmDA2D6qkor2BcUxO1NbUFbMOJE6dQAwFK4vFLgpQE+LCB4cOHs37DBrp6eujp7qK9o4Np06YiS7KXVscP1nTDyV3pT7mTyWQdzSp5k2WZgKqyYsUKJEkmm81gWhaWZRJQA1RVVTNt2lQAksmkw1hZzuLl1yQ6eVuhvr6egwcP0uy6rjVZZeeuXdTW1qIoCpUV5dQPGsShw4exySePVxQFTdMIhxwwF/VlahBu0fpBg8C2OXTkqAd6oTBaurq6mltvvYVXXn2VF158gTfeWMf0adOYOXsW72WWbZHJZokWFXmph8SzEixRJBJB8nVgIpXCMAxisSIWLLiBHx/7Mb987FE+8+BnAAiFwgRdCYJ/wRfMHjjgSlUD2JbtgRrBOgpgX1dfzxvr1tHp5tyUFRVZlvnDK69QUVHhBNDJMqFQmESiByS4+aabASgriZPJOM/14sULJJJJwuH/r70zD5KjuvP8J7Oy7uquPqq7+tbVh66WhMQN4rLZGRuMYTzgIzhsNnbwDGYcaw++9o/B48Eeew3YGh+zMxEbFngNTGAbIzy2sQ3YIIMEQocFNpdudaulVt9dd2buH1kvKyvVrRb2zMYW8/tEELTqyMp872W+7/u93xHBMAwOHz7E7t27eG7bNvr7B0i3tlbcTcwSBw8e4slfPukKqNnZGZoam5iammLp0mWsW7cWgAMH9rN8+YDzmXLwka5rnBg9SXNTk2OtjMWIRpx+ikbCpFtbOXLkCP/4j5uwbJtIOAxo6AGdYDDIkaNHiUQihMNhZmZmOXToMPF4nJZUyvEL9RQZ0XWtfN4BzjvvfLZtf4E333iDllSqKk+tukcsy+aNN17n5b0vc+NNN9KWTjvb/sEgO17awaWXXlq5DwM6mUyGaNka7opj08Q0y+LYsyA5HZNT09i2zeOPP05LS0tZ3NoYAWeBNDU9zZ+/731AuWhFoUh9fT0vvPAii5cs5s033yQcjTIyPMyhw4c4duwYl112Kd1dnYBTvKFYLNLU2MjSZb2cc87Z/PDRH3LW+rNIld2fRk+M0uJxCYlFnZKye/b8lo0bLyYWjRAKBQmHQrz+xhtAJfewf0HoR41XXdfQNM3to0goxODgar7/yCNuOypL/cnRUQb6+tx7+uTJURb1dAPlzCGefg7oGsWSVX5P5/iJ427/33TjTXzjm99g06ZNrFixnFg8TrKungs3bqSro8MTsBmocjkqUS7GscC1zcVb/4YgCEKNYNkWF1x4IY3NzfzsZz9lfHyCZ5/dyvT0NMZDD9He1s6f/MmfcOlllxEKGhw5cgQjaLhBIOCIJ8s0iZTFlAakUi3Yls34yVGisRixWIzu7h503dmuLZlmefsw4FpwIqEQVsB5eJumSTwec/0BwZkgpqenmZiY4P9873sEg0EikQiWaTI1NU1bext9vctYu24t4VCIZEMDhWLRtaJlsk61oIBRTudk2ei6TiQcpr7ecZs4eOgQ+/bt44brb3BdIgZXr2bnzp1se+45zr/gAjc3aLFYpFAsopf/nS8UyGZzriBpbmoETeNk2Q/Y2a52phRlaYmEQlx6+RW88OIOfvKTn5LL5fjY7be7qdKMQCW/Lp7/W5btCAvDYHZ2FsNwyuFqOJYeZQE3S6WqFFvBoOFkFACWDwzwjiuu4LHHHmPr1q1cdNFFaJrjdlAqFasWEo4A8ufmNF0LqMrbqsRlQ309lmVRzOfR6uqIxaIEAgF+/etniEQjjlU5FKJQyJPP5Um1tHDueRfQ2NBALBohENCpq0tw991fpFgqOiI8UUc4EqZUKtHQ0MAnPvGJKjeSQrHIkSNH2PqbrQwPD1MsFgmHw4TDYQzDwLJtent7SSTiZT/RqJMf1FNFriXVjI3jFtLc1IimOymwwuEwo+WsDqMnx9A0x9o9MTFBsVAg1dLC0NCQ4y4QNMr/BYmW3TKclFFGlRU0VyhQzBfo6ulx+i9brnBWfj8UrJTm1XWN1157DT2gc+FFTmBRV0cHHR0dvPjiDl597TWWLFnqLLSMINlcjmwu54wTqHIzAE4p+zofkXCI+vp6duzYQTwWZ2ZmhkxmFk3XiUaimFaJd7/7KmLRCOHybs/IyAhf+/rXACcFXjweJxwKMZvJkE6n3YDD0ZNjxGKx9gX1kAAAHsNJREFUsj9vkFg0wlXvvoo9u/fw8yee4IMf+hCRUIhoLOpWvlMLt0MHDhAOh9mw/mz3eTEw0M/uPb9l585dDK4ZXFDMQuWe1NAwrUpqQoCz1q/ne9/7Hlsee4wP3XgjkVCIX/ziFwwNDfHR224DnHYNh8OULNP1gQ3omlsswrJsLNMRtA0NjQwND5EvFLBtm3PPPYdvrvgm//zP/4vf/f73YDtj+IeP/oh0W5oPfuADnHveeVX3ITiGA+8z4a2wcIsIgiDUKEZZQC4fGKC3t9cNuDh46BDbt2/nwQcf5Kmnn6a7p5vlAwOkWlIcOXKEsYlJGurrUX53CsuymZyeZv/+fYQjYZINjRhGgMnJSV5//fWq3zXKW4NQyfWqtvAJGoyPT7j5KlWVr3RrmjWDq3nf9TfQ1dHhWkPVFmIumyMccnLLTk5MYNsVS6P3PMERGSPHjhGPxzEMJ0Dm8cceY3x8nGwuw8+f+DnTM9PkcllCoRC/fuYZVq0edMV8IV9A13X3uOFQqEpgvblvH6ZpsmTJ4urfBdefEyASDvO+P7uOe+69l0s2Xkxvby9QcS+wLfuUvJOW7bgORCIRCvlKuc9CseQe37at8vVXtkCDwSDhkJOIP2gEuerq93Dg4AG+s3kzfX395e3nU7cyva4OlmVjlpwSpUCVZVhVQRoaHqK1pYX6hiS5fJ6xsTHS6TQ333QzZ521DnAWGNFoxK0MpSiZJsFgiBMnRvniF79Ia7oN27aZnZlhcmKcnbt2smXL49x77z186lOfdi1lyWSS/r4+bnj/B2hqanQn/HyhgGla7jmalk0kEmF0bKyyG1AoYFtOtSYNqvLKKvEXLPsf/80n/wYjFCSTyboppmxg09e/xrbtL7hb26VSCU1zFi7q+rxW73AohK7pvPnSDrBtEnV17nveoKtC0XG9efbZrdTX1fH4lh8RDocJBoO0tKQ4dPAgx4aHGejvdy15Skj7/SyVddC0bNfP9XTMZDLEYjGufe97Wb/hbKfCFc7Y0jXdLc4ATtGHQj5Pa0sLn/rUp0m3t2OZJrOzM0xPT7P12Wd5+ulf8YNHHuHDt95KqrmJ6ekZ4rEYU+W81/39/dx4441897vfZeXKlaw7az2lUskVhco1ZMvjWxgaGmJoeIjDRw4Ti8YwjCD5fJ7nn3+OVatX+9dfc+LeY1SCwtT909XRyZo1a3jyyad4zzXXEEmlePzHP6atrY2VK1e6bW3ZNsVCsWqRr8aFej5msjmGhodIxOPumLNxMoB87I473GqBx0ZGeOJnP+XpX/2ar2/axGc/8xkGy2nB1O/p+tzFH84E8aEVBOFty6uvvcaPfvQos5kMU9MzFMqT3KKeHq677jr+x+c+x/jYSV55+WVs4Morr8QwDA7s2+cIyELF/xKcB3hjsp6ho0eJRMKk02nq6+tJJBIcPnQIG2dSVX6OGs6D3bRsvvD3f88XvvB3Hv8+nXDIqTJkBJzypsdGjvHSzl2kUilX6ObyeXc7TgkRIxCgubmZeDzO2MmTVUE/XleJyckp0m1thIIGsWiE3736KrFYjEcf/RH33HcvW7Zs4amnf4Vpmmx/4QU34boNNDQ2YFkWhWKpKkJftcnxY8fI5XKcf+55gGMd9fr1KfSATs+ixRSLRRYvXgo42+BKisz1HU3TMYwghmGgKryrCW9ycopMWdgXSyWSyaTry5fPOVHsWnnhEgoaXHrJZUxMTPD0U09SKBRJJBLYluMzqX5bnYupLH6GQcAwqhLBZ3N5NByr1f4DB12ru2NxDTA8PEyyocEdA4ZhuBZly3IS8is/07qEk80iEo3SmKynqSFJOp1m9erVXHftn7Fy5UoOHDhQtZ0+OzuLZZpEo1G08rlOT8+4FmsVcBbQNVpbW4Gy2LVsgkaQaCTsjpNwKMQ999zDl7/8D45QK5bIZrNMjI+TSDgWx6aGpFukQwPQNPL5PNlcztmyXr2aYrHA9m3Pu+1j44yP2UwG23J8w596+mnQNFrSadc/UokVIxAgFDR46aUd7Nz5Es2pFE/+8kkeeeT7fP+RH/C7V37H8LFjbNnyuNPH+XzZj7wSAKX6Hir96WQPqCwi5iMRizE1NcW69RtoSNa7rhJGIOAWTlDt6mT6cAoqpFpSNDUkaW5uorurm9WrVnHTzbfQ09PDtu3bGSv71wYMg1g8RjaXc58J73jHO2hsauLBhx5ifHycaCTKbCZDrvw7hw4fYs+ePfR0d7N582YefvhhHn30UV7auZNiscjLr7zint9CuBZZGyyzEnClhP9V776KYNBgfGyMg4cPM3JshKvefRWWVfHrTyQSriCfnp5x74nRk2PueCoUnDLGvX29bhGax7ds4eTYuLOwKZ9HY2MjN918C1/+8peJx+PseGlHle+/QgXuvlXEQisIwtsWDfjZz37GksWL3eT8s5kMmuZYHtdv2MD0fV9jamoKy7LZsGEDDz/8MNuef45Vq1e5lbZUiVnLsnnllZfZ+txz9Pb2Oq4DsRiXX3YZTz71FHt/+1sGBwfdLX+VPujEieMcPXqEq69+D7Gok8Kmob6ON19/3fUlCwUNkskkU1NTrlUoHAq5k7T6nLLaZrNZTNMk2dDoWueUOM4XCjz7zDMk6hJcWC6asHXrVo4ePcrnPvs5+vr7aUjWMz45RS6b4eToKPfedx9vvv46S5csxrJsRk+MOsnlg0ZVmdpIKMTMzCzbX3yB1pYWBlauOmWLUFlYTMtJl/X7I0dca1GuUKjaEp5ru1/XnbywyvL9znde6U6wyuXh96++yvj4OE3NqbIQMdADOsVSscq6s2btGq679r38/Je/ZGLSqb5WKhZdUejdhlV/q++r37Jx/EyjkTDDx47x+muv0T8w4G7DxmJxx9puW05e2FisyqdZWbKU2D1x4gSBQIBouFKStCIg4jQ2JHnllVcYHR0lnU6j647/Y7AsXhVeq5myjFmWzUBfHw/967/y5htvsHLlSvczyrf02MgIO3fuYvmKFYTCYYJBg1RLyskAAW5aqUgo5OYm1tGoq6vDLkfLX3zxxfzyySf59TPPcPHFF7u/HwmFoDx+X3ppJ7t37+biiy5iUXd3lUuCjeNHHo2E2fb886xctYq//CvHHSUUCmEYBpOTEzz99NP8249/zPHjI7S3tZHJ5hzXnMlJSqZZJb4CeqU4wGwm4wZyzodl24yNjWGWihSKTjCgXk5dp1yHvLl9C4UirS0trpVfAyzK2RDCYVpbWzgxeoL29jYnA4ptYZoWoaCzu6EWZbfeeitf+tKX2Lr1WWzbJhwOu7/z/HPP0ZJq4Y6/voOenkWAsygcGRnhjdde4/4HHuDll/cyODg41yXNjYa7k6EW2QCrB510frt27iQUiVAoFjjvgguqLN9XXHEF999/Pz967DGuueYa9z5X+bQBnn32GXRdZ+2atQQMg/GJCR5++F/RNI2rr76aQrFULtDijItYOetCPpevCsBU+C3vZ8ofJoMFQRBqgK7uHiYmJvjnf/kXho85qanisZgblf3Tn/yUZDLJhg0bCOgaDY2NrFu3lpd27eKBB+53IuE13RVgL7+8l+89+BA93T187PaPub+zYcMGkskkDz70MHv37gUq2+5v7tvHXX/7t0xOTLF2rbMdPZuZJZ5IkEgkXNGq/EabmpqYmZmlZJoUiqWqaF/Lsl2fw9nZWcdilnHS/5TMSqnV3bt2s2XLFurq6lg16OTE/c1vfkMqlWJZXx8N5UwEjcl62tvaWNbbRyFf4Mf/9mNn8tE1YvEYwWDQjebO5vJMT89wYvQkP/zhD9i2bTt/+q53kYjH5/V3UynFbNsmFAo5/y8HlXhT9PjRgGAwRF9fH3v37mXfvjcdQVF00nMdGxnhn779bRYtWkRvb6/rHhCNRN3sDAojEODa695HMpnkxR07Kqm7qAhYv5U4l88xMTFBJptjfHLK9dXcvXsPX/nKV2hobOSGG25wBeXU1CThUJhCvkA0EqVQLHFybJzxySlMy2a8bFXWwHWvCAWDTmWnshU0Vyi4pW4TiToSiQT19Ul3kQIwOTnJ0eFjVUJcWcpUii1N17jyT99Fe1s73/r2t3nxxRddK1g8FuPE6Cj3b95MJBrhgx/8AKGgQbG87a8qjqktZXCyFagAvWAw6KYx6+/vZ/1ZZ3Ho0EF+8pOfsm//AXKFgptO7MToKPc/cD/Lli7j6vc4fqXKt1qhrMZv7t9Pf1+fGzSmrN4tqRTLBwYYGRnhB9//PuBsyzc2NpaD1pxjqv4bn5xyraNn4kcbCARIp9OMjY0RCATchSXgWtNV2+dzTsnXXDlQEyqp9MIhp+RzLBYjk8kwMzPrujsVCgW3XdUib/WqVbzn6qt5+OGH2bd/H0HDIBR0dgS2bd9Oa1ua5QMDrrtLJBRiUXc3y1euYnx8nAcffGjuC5oD07IJBkNVbj1KMBqBAMt6+/jNc8+xa9cu+nr73L7Pl8fj5ZdfTu+yXh568CGODg25zwHFE088webNm4lEIqxZu45IyAmiTLWk+MUvfkGpvKhXvu6FYok9u3YRj8dZsWKFu3hXeBc9bxWx0AqC8LYl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(Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\n\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\nimport * as React from \"react\";\n\nfunction SvgLogoCedib(_ref, svgRef) {\n  var title = _ref.title,\n      titleId = _ref.titleId,\n      props = _objectWithoutProperties(_ref, _excluded);\n\n  return /*#__PURE__*/React.createElement(\"svg\", _extends({\n    xmlns: \"http://www.w3.org/2000/svg\",\n    xmlnsXlink: \"http://www.w3.org/1999/xlink\",\n    viewBox: \"0 0 95 53.44\",\n    ref: svgRef,\n    \"aria-labelledby\": titleId\n  }, props), title ? /*#__PURE__*/React.createElement(\"title\", {\n    id: titleId\n  }, title) : null, _defs || (_defs = /*#__PURE__*/React.createElement(\"defs\", null, /*#__PURE__*/React.createElement(\"style\", null, \".cls-1{fill:none;}\"))), _g || (_g = /*#__PURE__*/React.createElement(\"g\", {\n    id: \"Camada_2\",\n    \"data-name\": \"Camada 2\"\n  }, /*#__PURE__*/React.createElement(\"g\", {\n    id: \"logo\"\n  }, /*#__PURE__*/React.createElement(\"rect\", {\n    className: \"cls-1\",\n    width: 95,\n    height: 53.44\n  }), /*#__PURE__*/React.createElement(\"image\", {\n    width: 1549,\n    height: 843,\n    transform: \"translate(2.6 0.34) scale(0.06 0.06)\",\n    xlinkHref: 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\"\n  })))));\n}\n\nvar ForwardRef = /*#__PURE__*/React.forwardRef(SvgLogoCedib);\nexport default __webpack_public_path__ + \"static/media/logoCedib.e6b7ae90.svg\";\nexport { ForwardRef as ReactComponent };","import {\n  FormEvent,\n  useCallback,\n  ChangeEvent,\n  useState,\n  useEffect\n} from 'react';\nimport { useTheme } from 'styled-components';\nimport { AiOutlineClose } from 'react-icons/ai';\nimport { BsArrowRightCircle } from 'react-icons/bs';\n\nimport { Link } from 'react-router-dom';\nimport { useZoom, useFilter } from '../../hooks';\n\nimport { ButtonFormMenu } from './ButtonFormMenu';\nimport { FilterColumn } from './FilterColumn';\nimport { ItemFilter } from './ItemFilter';\n\nimport { ReactComponent as LogoAmazonWatch } from '../../assets/institutional/logoAmazonWatch.svg';\nimport { ReactComponent as LogoBrics } from '../../assets/institutional/logoBrics.svg';\nimport { ReactComponent as LogoCooperAccion } from '../../assets/institutional/logoCooperAccion.svg';\nimport { ReactComponent as LogoIlsa } from '../../assets/institutional/logoIlsa.svg';\nimport { ReactComponent as LogoIriPuc } from '../../assets/institutional/logoIriPuc.svg';\nimport { ReactComponent as LogoMott } from '../../assets/institutional/logoMott.svg';\nimport { ReactComponent as LogoCedib } from '../../assets/institutional/logoCedib.svg';\n\nimport {\n  ContainerMenu,\n  ContendMenu,\n  ButtonClose,\n  HeaderMenu,\n  FormFilter,\n  Main,\n  RowButtons,\n  RowknowMore,\n  RowLogos\n} from './styles';\nimport { Separator } from './FilterColumn/styles';\n\nimport { factoryArrayMap } from '../../utils';\nimport theme from '../../styles/theme';\n\ninterface MenuProps {\n  isOpenMenu: boolean;\n  setIsOpenMenu: React.Dispatch<React.SetStateAction<boolean>>;\n}\n\nexport const Menu: React.FC<MenuProps> = ({ isOpenMenu, setIsOpenMenu }) => {\n  const { handleLoading } = useZoom();\n  const {\n    categories,\n    countries,\n    dimensions,\n    handleSetCategories,\n    handleSetCountries,\n    handleSetDimensions\n  } = useFilter();\n\n  const [filter, setFilter] = useState({\n    filterCatergories: categories,\n    filterCountries: countries,\n    filterDimensions: dimensions\n  });\n\n  const {\n    colors: { green, white }\n  } = useTheme();\n\n  const handleChangeCategories = (e: ChangeEvent<HTMLInputElement>) => {\n    const { name, checked } = e.target;\n\n    const categoriesArray = factoryArrayMap(\n      filter.filterCatergories,\n      'isChecked',\n      checked,\n      {\n        compare: { keyToCompare: 'name', valueToCompare: name }\n      }\n    );\n\n    setFilter({ ...filter, filterCatergories: categoriesArray });\n  };\n\n  const handleChangeCountries = (e: ChangeEvent<HTMLInputElement>) => {\n    const { name, checked } = e.target;\n\n    const countriesArray = factoryArrayMap(\n      filter.filterCountries,\n      'isChecked',\n      checked,\n      {\n        compare: { keyToCompare: 'name', valueToCompare: name }\n      }\n    );\n\n    setFilter({ ...filter, filterCountries: countriesArray });\n  };\n\n  const handleChangeDimensions = (e: ChangeEvent<HTMLInputElement>) => {\n    const { name, checked } = e.target;\n\n    const dimensionsArray = factoryArrayMap(\n      filter.filterDimensions,\n      'isChecked',\n      checked,\n      {\n        compare: { keyToCompare: 'name', valueToCompare: name }\n      }\n    );\n\n    setFilter({ ...filter, filterDimensions: dimensionsArray });\n  };\n\n  const handleSelectAll = () => {\n    const selectAllCategories = factoryArrayMap(categories, 'isChecked', true);\n    const selectAllCountries = factoryArrayMap(countries, 'isChecked', true);\n    const selectAllDimensions = factoryArrayMap(dimensions, 'isChecked', true);\n\n    setFilter({\n      filterCatergories: selectAllCategories,\n      filterCountries: selectAllCountries,\n      filterDimensions: selectAllDimensions\n    });\n  };\n\n  const handleCleanAll = () => {\n    const cleanAllCategories = factoryArrayMap(categories, 'isChecked', false);\n    const cleanAllCountries = factoryArrayMap(countries, 'isChecked', false);\n    const cleanAllDimensions = factoryArrayMap(dimensions, 'isChecked', false);\n\n    setFilter({\n      filterCatergories: cleanAllCategories,\n      filterCountries: cleanAllCountries,\n      filterDimensions: cleanAllDimensions\n    });\n  };\n\n  const handleCloseMenu = useCallback(() => {\n    setIsOpenMenu(false);\n  }, [setIsOpenMenu]);\n\n  const handleSubmit = (e: FormEvent) => {\n    e.preventDefault();\n    handleSetCategories(filter.filterCatergories);\n    handleSetCountries(filter.filterCountries);\n    handleSetDimensions(filter.filterDimensions);\n\n    handleLoading(1000);\n    handleCloseMenu();\n  };\n\n  useEffect(() => {\n    setFilter({\n      filterCatergories: categories,\n      filterCountries: countries,\n      filterDimensions: dimensions\n    });\n  }, [categories, countries, dimensions]);\n\n  return (\n    <ContainerMenu active={isOpenMenu}>\n      <ContendMenu active={isOpenMenu}>\n        <ButtonClose\n          type=\"button\"\n          onClick={handleCloseMenu}\n          active={isOpenMenu}\n        >\n          <AiOutlineClose size=\"20\" />\n        </ButtonClose>\n\n        <FormFilter active={isOpenMenu} onSubmit={handleSubmit}>\n          <HeaderMenu active={isOpenMenu}>\n            <h1>Faça sua Pesquisa</h1>\n            <ButtonFormMenu\n              type=\"button\"\n              text=\"ver tudo\"\n              color={green[6]}\n              border={green[6]}\n              width=\"90px\"\n              iconEye\n              onClick={handleSelectAll}\n            />\n          </HeaderMenu>\n\n          <Main>\n            <FilterColumn\n              active={isOpenMenu}\n              widthContainer=\"27%\"\n              titleColumn=\"Categorias\"\n            >\n              {filter.filterCatergories.map(category => (\n                <ItemFilter\n                  key={category.name}\n                  text={category.text}\n                  name={category.name}\n                  imgFixa={category.icon}\n                  onChange={handleChangeCategories}\n                  checked={category.isChecked}\n                />\n              ))}\n            </FilterColumn>\n            <Separator />\n            <FilterColumn\n              active={isOpenMenu}\n              widthContainer=\"27%\"\n              titleColumn=\"Países\"\n            >\n              {filter.filterCountries.map(country => (\n                <ItemFilter\n                  key={country.name}\n                  imgOff={country.icons.off}\n                  imgOn={country.icons.on}\n                  imgOver={country.icons.over}\n                  text={country.name}\n                  name={country.name}\n                  onChange={handleChangeCountries}\n                  checked={country.isChecked}\n                />\n              ))}\n            </FilterColumn>\n            <Separator />\n            <FilterColumn\n              active={isOpenMenu}\n              widthContainer=\"40%\"\n              titleColumn=\"Dimensões\"\n              isWrap\n              marginLeft={55}\n            >\n              {filter.filterDimensions.map(dimension => (\n                <ItemFilter\n                  key={dimension.name}\n                  text={dimension.name}\n                  name={dimension.name}\n                  checked={dimension.isChecked}\n                  onChange={handleChangeDimensions}\n                  widthContainer=\"100%\"\n                />\n              ))}\n            </FilterColumn>\n          </Main>\n          <RowButtons active={isOpenMenu}>\n            <ButtonFormMenu\n              type=\"button\"\n              text=\"Limpar\"\n              color={green[6]}\n              border={green[6]}\n              width=\"90px\"\n              onClick={handleCleanAll}\n            />\n            <ButtonFormMenu\n              text=\"Aplicar\"\n              color={white}\n              border={green[6]}\n              bgColor={green[6]}\n              width=\"90px\"\n            />\n          </RowButtons>\n        </FormFilter>\n        <RowknowMore active={isOpenMenu}>\n          <div />\n          <h2>\n            <Link to=\"/saiba-mais\">\n              Saiba mais sobre{' '}\n              <BsArrowRightCircle color={theme.colors.green['2']} size=\"12\" />\n            </Link>\n          </h2>\n          <p>\n            Observatório dos Sistemas Nacionais de Proteção Socioambiental da\n            Região Amazônica\n          </p>\n        </RowknowMore>\n        <RowLogos active={isOpenMenu}>\n          <article>\n            <h2>Realização</h2>\n            <div>\n              <a\n                href=\"https://bricspolicycenter.org/\"\n                target=\"_blank\"\n                rel=\"noreferrer\"\n              >\n                <LogoBrics width=\"120\" />\n              </a>\n\n              <a\n                href=\"http://www.iri.puc-rio.br/\"\n                target=\"_blank\"\n                rel=\"noreferrer\"\n              >\n                <LogoIriPuc width=\"100\" />\n              </a>\n            </div>\n          </article>\n\n          <article>\n            <h2>Colaboração</h2>\n            <div>\n              <a\n                href=\"https://cooperaccion.org.pe/\"\n                target=\"_blank\"\n                rel=\"noreferrer\"\n              >\n                <LogoCooperAccion width=\"85\" />\n              </a>\n\n              <a\n                href=\"https://amazonwatch.org/pt/\"\n                target=\"_blank\"\n                rel=\"noreferrer\"\n              >\n                <LogoAmazonWatch width=\"60\" />\n              </a>\n\n              <a href=\"http://ilsa.org.co/\" target=\"_blank\" rel=\"noreferrer\">\n                <LogoIlsa width=\"90\" />\n              </a>\n\n              <a href=\"https://www.cedib.org/\" target=\"_blank\" rel=\"noreferrer\">\n                <LogoCedib width=\"80\" />\n              </a>\n            </div>\n          </article>\n\n          <article>\n            <h2>Apoio</h2>\n            <div>\n              <a href=\"https://www.mott.org/\" target=\"_blank\" rel=\"noreferrer\">\n                <LogoMott width=\"70\" height=\"74\" />\n              </a>\n            </div>\n          </article>\n        </RowLogos>\n      </ContendMenu>\n    </ContainerMenu>\n  );\n};\n","import styled from 'styled-components';\n\nexport const Container = styled.div`\n  position: absolute;\n\n  display: flex;\n  justify-content: center;\n  align-items: center;\n\n  width: 100%;\n  height: 100%;\n\n  background: rgba(0, 0, 0, 0.8);\n  z-index: 6;\n`;\n","import styled from 'styled-components';\n\n// type CardProps = {\n//   modalPosition: { x: number; y: number };\n// };\n\ninterface ColorBarProps {\n  color: string;\n}\n\ninterface ContainerCardBodyProps extends ColorBarProps {}\n\ninterface ContainerCardFooterProps extends ColorBarProps {}\n\nexport const Close = styled.button`\n  position: relative;\n\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  background: ${({ theme }) => theme.colors.red[1]};\n  padding: 5px;\n\n  border-radius: 50%;\n\n  left: -50%;\n  bottom: -15px;\n\n  z-index: 1;\n\n  svg {\n    fill: #fff;\n    font-size: 20px;\n  }\n`;\n\nexport const Card = styled.div`\n  position: absolute;\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  width: 570px;\n  background: none;\n`;\n\nexport const Content = styled.div`\n  position: relative;\n  width: 100%;\n  border-radius: 8px;\n\n  height: 100%;\n\n  background: #fff;\n`;\n\nexport const ColorBar = styled.div<ColorBarProps>`\n  position: absolute;\n  border-top-left-radius: 10px;\n  border-top-right-radius: 10px;\n  width: 100%;\n  background: ${({ color }) => color};\n  height: 7px;\n`;\n\nexport const ContainerCardTitle = styled.div`\n  display: flex;\n  width: 100%;\n  font-family: ${props => props.theme.font.Oswald};\n  padding: 13px 15px 6px;\n  gap: 5px;\n  border-bottom: 1px solid rgba(36, 56, 66, 0.1);\n  color: ${props => props.theme.colors.green[1]};\n\n  div {\n    display: flex;\n    flex: 1;\n    align-items: baseline;\n    justify-content: space-between;\n\n    font-size: 10px;\n\n    h1 {\n      font-weight: normal;\n      font-size: 16px;\n\n      span {\n        margin-left: 5px;\n        font-size: 10px;\n      }\n    }\n\n    strong {\n      justify-content: flex-end;\n    }\n  }\n\n  svg {\n    height: 24px;\n  }\n`;\n\nexport const ContainerCardBody = styled.div<ContainerCardBodyProps>`\n  padding: 0 15px;\n  display: flex;\n  flex-direction: column;\n  flex: 1;\n  font-size: 16px;\n\n  div {\n    padding: 8px 0;\n    color: ${props => props.theme.colors.green[1]};\n\n    h1 {\n      font-size: inherit;\n    }\n\n    h2 {\n      font-size: 11px;\n    }\n  }\n\n  div:nth-child(1) {\n    color: ${props => props.color};\n\n    border-bottom: 0.5px dashed ${props => props.color};\n\n    h1 {\n      font-weight: bolder;\n      margin-bottom: 5px;\n      font-size: 16px;\n    }\n\n    h2 {\n      margin-top: 17px;\n      font-size: 12px;\n      font-family: ${({ theme }) => theme.font.Ralaway};\n\n      span {\n        text-transform: uppercase;\n        font-weight: normal;\n\n        &:nth-child(1) {\n          font-weight: bolder;\n        }\n      }\n    }\n  }\n\n  div:nth-child(2) {\n    /* border-bottom: 0.5px dashed rgba(36, 56, 66, 0.3); */\n\n    h1 {\n      font-weight: normal;\n      font-family: ${props => props.theme.font.Oswald};\n    }\n\n    h2 {\n      font-weight: 300;\n      font-size: 12px;\n      font-family: ${props => props.theme.font.Oswald};\n      max-height: 150px;\n      overflow-y: auto;\n\n      &::-webkit-scrollbar {\n        width: 8px;\n      }\n\n      &::-webkit-scrollbar-track {\n        background: #f3f3f3;\n      }\n\n      &::-webkit-scrollbar-thumb {\n        background-color: #d3d3d3;\n        border-radius: 20px;\n        border: 3px solid #d3d3d3;\n      }\n    }\n  }\n\n  div:nth-child(3) {\n    > p {\n      text-align: justify;\n      font-size: 14px;\n      font-weight: 300;\n      font-family: ${props => props.theme.font.Oswald};\n    }\n  }\n`;\n\nexport const ContainerCardFooter = styled.div<ContainerCardFooterProps>`\n  display: flex;\n  flex: 1;\n  align-items: center;\n  justify-content: flex-end;\n\n  padding: 8px 15px;\n\n  border-top: 1px solid rgba(36, 56, 66, 0.1);\n\n  a {\n    display: flex;\n    align-items: center;\n    justify-content: center;\n    width: auto;\n    height: 38px;\n    font-family: ${({ theme }) => theme.font.Roboto};\n    padding: 10px;\n    background: ${props => props.color};\n    border-radius: 20px;\n\n    &:hover {\n      gap: 10px;\n\n      span {\n        font-size: 14px !important;\n        padding-left: 5px;\n      }\n    }\n\n    span {\n      transition: font-size 0.3s;\n      font-size: 0;\n      color: ${({ theme }) => theme.colors.white};\n    }\n  }\n`;\n","import { useCallback } from 'react';\n\nimport { VscClose } from 'react-icons/vsc';\n\nimport { MdFileDownload, MdFileDownloadOff } from 'react-icons/md';\nimport {\n  Card,\n  Close,\n  Content,\n  ColorBar,\n  ContainerCardTitle,\n  ContainerCardBody,\n  ContainerCardFooter\n} from './styles';\n\nimport { IJsonData } from '../../../data';\nimport theme from '../../../styles/theme';\n\ninterface ModalCardProps {\n  setIsOpen: React.Dispatch<React.SetStateAction<boolean>>;\n  data: IJsonData;\n}\n\nconst ModalCard: React.FC<ModalCardProps> = ({ setIsOpen, data }) => {\n  const handleCloseModal = useCallback(() => {\n    setIsOpen(false);\n  }, [setIsOpen]);\n\n  const months = [\n    'Janeiro',\n    'Fevereiro',\n    'Março',\n    'Abril',\n    'Maio',\n    'Junho',\n    'Julho',\n    'Agosto',\n    'Setembro',\n    'Outubro',\n    'Novembro',\n    'Dezembro'\n  ];\n\n  const month = months\n    .find((nameOfMonth, index) => data.date.month === index + 1 && nameOfMonth)\n    ?.toUpperCase();\n\n  const Flag = data.flag;\n\n  return (\n    <Card>\n      <Close type=\"button\" onClick={handleCloseModal}>\n        <VscClose />\n      </Close>\n      <Content>\n        <ColorBar color={data.color || '#fff'} />\n        <ContainerCardTitle>\n          <div>\n            <h1>\n              {data.date.year}\n              <span>{`${\n                data.date.day === null ? '' : `${data.date.day} DE`\n              }  ${month}`}</span>\n            </h1>\n            <strong>{data.country}</strong>\n          </div>\n          <Flag aria-label={`${data.country} flag`} />\n        </ContainerCardTitle>\n        <ContainerCardBody color={data.color || '#fff'}>\n          <div>\n            {data.dimensions.map(dimension => (\n              <h1 key={dimension}>{dimension}</h1>\n            ))}\n            <h2>\n              <span>\n                {data.category.name ? `${data.category.name} | ` : ''}{' '}\n              </span>\n              {data.category.subcategories.map((subcategory, index) => (\n                <span>\n                  {subcategory}{' '}\n                  {index + 1 < data.category.subcategories.length ? ' | ' : ''}\n                </span>\n              ))}\n            </h2>\n          </div>\n          <div>\n            <h1>\n              {data.legalFramework.legalInstrument} {data.legalFramework.title}\n            </h1>\n            <h2>{data.legalFramework.descriptive}</h2>\n          </div>\n          <div>\n            <p>{data.legalFramework.synthesis}</p>\n          </div>\n        </ContainerCardBody>\n        <ContainerCardFooter color={data.color || '#fff'}>\n          <a\n            href={\n              data.downloadFile\n                ? `${process.env.PUBLIC_URL}/downloads/${data.downloadFile}.pdf`\n                : undefined\n            }\n            target=\"_blank\"\n            rel=\"noreferrer\"\n          >\n            {data.downloadFile ? (\n              <>\n                <span>Documento Oficial do Governo</span>\n                <MdFileDownload size=\"18\" color={theme.colors.white} />\n              </>\n            ) : (\n              <>\n                <span>Não possui documento</span>\n                <MdFileDownloadOff size=\"18\" color={theme.colors.white} />\n              </>\n            )}\n          </a>\n        </ContainerCardFooter>\n      </Content>\n    </Card>\n  );\n};\n\nexport { ModalCard };\n","import {\n  forwardRef,\n  ForwardRefRenderFunction,\n  useCallback,\n  useImperativeHandle,\n  useState\n} from 'react';\n\nimport { Container } from './styles';\n\nimport { ModalCard } from './Card';\nimport { useData } from '../../hooks/useData';\n\ntype OpenModalParams = {\n  coordinates: { x: number; y: number };\n  id?: string;\n};\n\nexport interface ModalHandles {\n  openModal: ({ coordinates }: OpenModalParams) => void;\n}\n\nconst ModalFowardRef: ForwardRefRenderFunction<ModalHandles> = (props, ref) => {\n  const [isOpen, setIsOpen] = useState(false);\n\n  const [idMark, setIdMark] = useState('');\n\n  const { data } = useData();\n\n  const dataFromMark = data.filter(item => item.id === idMark)[0];\n\n  const openModal = useCallback(({ id }: OpenModalParams) => {\n    setIsOpen(true);\n    setIdMark(id as string);\n  }, []);\n\n  useImperativeHandle(ref, () => ({\n    openModal\n  }));\n\n  if (!isOpen) {\n    return null;\n  }\n\n  return (\n    <Container>\n      <ModalCard\n        setIsOpen={setIsOpen}\n        data={dataFromMark}\n        // color={markData.color || '#fff'}\n      />\n    </Container>\n  );\n};\n\nconst Modal = forwardRef(ModalFowardRef);\n\nexport { Modal };\n","import styled, { keyframes } from 'styled-components';\n\nconst hideLoader = keyframes`\n  from{visibility: visible; left: 0;}\n  to{visibility: hidden; left: calc(-100% - 200px);}\n`;\n\nconst fadeInTopBottom = keyframes`\n  from{position: relative; top: -30px; opacity: 0;}\n  to{position: relative; top: 0; opacity: 1;}\n`;\n\nexport const ContainerPageLoader = styled.section`\n  position: fixed;\n  top: 0;\n  left: 0;\n  background: #8dc63f;\n  width: 100vw;\n  height: 100vh;\n  z-index: 100;\n  align-items: center;\n  justify-content: center;\n  display: flex;\n  gap: 50px;\n  flex-wrap: wrap;\n  display: flex;\n\n  animation: ${hideLoader} both ease-in-out;\n  animation-duration: 0.7s;\n  animation-delay: 4s;\n`;\n\nexport const FirstCol = styled.div`\n  text-transform: uppercase;\n  width: 600px;\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  gap: 30px;\n  color: ${({ theme }) => theme.colors.green[1]};\n  font-weight: 500;\n\n  svg {\n    width: 250px;\n    animation: ${fadeInTopBottom} 0.8s both;\n    animation-delay: 1s;\n  }\n\n  p:nth-child(2) {\n    width: 100vw;\n    padding: 15px 20px;\n    border: 2px solid #253842;\n    border-left: none;\n    border-right: none;\n    display: flex;\n    gap: 30px;\n    align-items: center;\n    animation: ${fadeInTopBottom} 0.8s both;\n    animation-delay: 1.4s;\n\n    span:nth-child(1) {\n      font-family: ${({ theme: { font } }) => font.Saira[1] || 'sans-serif'};\n      text-transform: uppercase;\n      font-size: 25px;\n      margin: 0 auto;\n    }\n  }\n\n  p:nth-child(3) {\n    font-size: 13px;\n    color: #fff;\n    font-family: 'Roboto';\n    margin-top: -10px;\n    animation: ${fadeInTopBottom} 1s both;\n    animation-delay: 1.8s;\n    width: 100%;\n    text-align: initial;\n  }\n`;\n\nexport const ContainerLogo = styled.div`\n  width: 100%;\n`;\n\nexport const LastCol = styled.div`\n  font-size: 40px;\n  font-weight: 400;\n  color: #253842;\n  width: 40%;\n  font-family: ${({ theme: { font } }) => font.Roboto || 'sans-serif'};\n  text-transform: uppercase;\n\n  h1:nth-child(1) {\n    animation: ${fadeInTopBottom} 0.8s both;\n    animation-delay: 1s;\n  }\n\n  h1:nth-child(2) {\n    animation: ${fadeInTopBottom} 0.8s both;\n    animation-delay: 1.3s;\n  }\n\n  h1:nth-child(3) {\n    animation: ${fadeInTopBottom} 0.8s both;\n    animation-delay: 1.6s;\n  }\n\n  h1:nth-child(4) {\n    animation: ${fadeInTopBottom} 0.8s both;\n    animation-delay: 1.9s;\n  }\n`;\n","import { ContainerLogo, ContainerPageLoader, FirstCol } from './styles';\nimport { ReactComponent as Logo } from '../../assets/institutional/logoBrics.svg';\n\nexport const PageLoader: React.FC = () => (\n  <ContainerPageLoader>\n    <FirstCol>\n      <ContainerLogo>\n        <Logo />\n      </ContainerLogo>\n      <p>\n        <span>\n          Observatório dos Sistemas Nacionais de Proteção Socioambiental da\n          Região Amazônica\n        </span>\n      </p>\n      <p>\n        BOLÍVIA &nbsp;|&nbsp; BRASIL &nbsp;|&nbsp; COLÔMBIA &nbsp;|&nbsp;\n        EQUADOR &nbsp;|&nbsp; PERU\n      </p>\n    </FirstCol>\n    {/* <LastCol>\n      <h1>Licenciamento</h1>\n      <h1>Uso da Terra</h1>\n      <h1>Povos e Culturas</h1>\n      <h1>Meio Ambiente</h1>\n    </LastCol> */}\n  </ContainerPageLoader>\n);\n","import styled from 'styled-components';\n\nexport const Container = styled.div`\n  position: absolute;\n  left: 25px;\n  top: -2px;\n  width: 60px;\n  text-transform: lowercase;\n  font-size: 15px;\n  color: ${({ theme }) => theme.colors.white};\n\n  span {\n    font-size: 13px;\n  }\n`;\n","import React, { useCallback, useEffect, useRef } from 'react';\nimport lodash from 'lodash';\nimport { useMouseEvent, useYears, useZoom } from '../../../../hooks';\n\nimport { Container } from './styles';\n\nconst GuideDate: React.FC = () => {\n  const { zoomLevel } = useZoom();\n  const {\n    mouseEnter: squareYear,\n    mouseMove: { coveredPercentage }\n  } = useMouseEvent();\n  const { interval, yearsRange } = useYears();\n\n  const currentYearRef = useRef({ value: squareYear });\n\n  const currentMonthRef = useRef({ value: 'Jan' });\n\n  const getFormattedMonth = (month: number) => {\n    switch (month) {\n      case 1:\n        return 'Jan';\n\n      case 2:\n        return 'Fev';\n\n      case 3:\n        return 'Mar';\n\n      case 4:\n        return 'Abr';\n\n      case 5:\n        return 'Mai';\n\n      case 6:\n        return 'Jun';\n\n      case 7:\n        return 'Jul';\n\n      case 8:\n        return 'Ago';\n\n      case 9:\n        return 'Set';\n\n      case 10:\n        return 'Out';\n\n      case 11:\n        return 'Nov';\n\n      case 12:\n        return 'Dez';\n\n      default:\n        return 'Jan';\n    }\n  };\n\n  const handleCurrentMonthOnGuide = useCallback(() => {\n    const monthPercentageOnSquare = 100 / 12;\n    const monthRange = lodash.range(1, 13);\n\n    const arrMonths = monthRange.map((item, index) => ({\n      month: getFormattedMonth(item),\n      startPosition: monthPercentageOnSquare * index,\n      endPosition: monthPercentageOnSquare * (index + 1)\n    }));\n\n    const objectMonth = arrMonths.find(\n      item =>\n        item.endPosition >= coveredPercentage &&\n        item.startPosition <= coveredPercentage\n    );\n\n    currentMonthRef.current.value = objectMonth?.month as string;\n  }, [coveredPercentage]);\n\n  const handleSetCurrentYearOnGuide = useCallback(() => {\n    const yearPercentageOnSquare = 100 / interval;\n\n    const yearsRangeArray = yearsRange();\n\n    const yearRangeArray = yearsRangeArray.find(\n      item => item.year === squareYear\n    );\n\n    if (yearRangeArray?.range) {\n      const arrYears = yearRangeArray.range.map((year, index) => ({\n        year,\n        startPosition:\n          yearPercentageOnSquare * index === 0\n            ? yearPercentageOnSquare * index\n            : yearPercentageOnSquare * index + 1,\n        endPosition: yearPercentageOnSquare * (index + 1)\n      }));\n\n      const arrFind = arrYears.find(\n        item =>\n          item.endPosition >= coveredPercentage &&\n          item.startPosition <= coveredPercentage\n      );\n\n      currentYearRef.current.value = arrFind?.year\n        ? arrFind.year\n        : currentYearRef.current.value;\n    }\n  }, [coveredPercentage, interval, squareYear, yearsRange]);\n\n  useEffect(() => {\n    handleCurrentMonthOnGuide();\n    handleSetCurrentYearOnGuide();\n  }, [handleCurrentMonthOnGuide, handleSetCurrentYearOnGuide]);\n\n  return (\n    <Container>\n      {zoomLevel === 2 && <span>{currentMonthRef.current.value},</span>}{' '}\n      {currentYearRef.current.value}\n    </Container>\n  );\n};\n\nexport { GuideDate };\n","import styled from 'styled-components';\n\ninterface ContentProps {\n  position: number;\n}\n\nexport const Container = styled.div`\n  position: fixed;\n  font-family: ${props => props.theme.font.Oswald};\n  color: ${props => props.theme.colors.yellow[1]};\n  z-index: 3;\n`;\n\nexport const TopGuide = styled.div.attrs<ContentProps>(({ position }) => ({\n  style: {\n    transform: `translateX(${position}px)`\n  }\n}))<ContentProps>`\n  display: flex;\n  gap: 10px;\n  width: 0;\n  pointer-events: none;\n`;\n\nexport const Sphere = styled.div`\n  position: absolute;\n  background-color: ${props => props.theme.colors.white};\n  width: 13px;\n  height: 13px;\n  top: 3px;\n  left: 3.5px;\n  border-radius: 50%;\n`;\n\nexport const GuidelineRuler = styled.div`\n  position: absolute;\n  left: 10px;\n  top: 0px;\n  height: 100%;\n  width: 1px;\n  background-color: ${props => props.theme.colors.green[1]};\n  opacity: 0.5;\n  z-index: -1;\n  pointer-events: none;\n`;\n","import React, { useEffect, useState } from 'react';\nimport {\n  useCustomRef,\n  useMouseEvent,\n  useScreenDimensions\n} from '../../../hooks';\n\nimport { GuideDate } from './GuideDate';\n\nimport { Container, TopGuide, Sphere, GuidelineRuler } from './styles';\n\nconst Guideline: React.FC = () => {\n  const { currentWindowDimensions } = useScreenDimensions();\n  const { containerRef } = useCustomRef();\n  const [mousePosition, setMousePosition] = useState({ x: 80, y: 0 });\n  const { isMouseOver } = useMouseEvent();\n  const [mousePositionOldValue, setMousePositionOldValue] = useState(0);\n\n  useEffect(() => {\n    const updateMousePosition = (e: MouseEvent) => {\n      if (e.pageX < 80) {\n        return;\n      }\n\n      setMousePosition({ x: e.pageX, y: e.pageY });\n    };\n\n    const ref = containerRef.current;\n\n    ref?.addEventListener('mousemove', updateMousePosition);\n\n    return () => ref?.removeEventListener('mousemove', updateMousePosition);\n  }, [containerRef]);\n\n  useEffect(() => {\n    setMousePositionOldValue(mousePosition.x - 10);\n    // eslint-disable-next-line react-hooks/exhaustive-deps\n  }, [isMouseOver]);\n\n  return (\n    <Container style={{ width: `${currentWindowDimensions.x}px` }}>\n      <TopGuide\n        position={isMouseOver ? mousePositionOldValue : mousePosition.x - 10}\n      >\n        <Sphere />\n        <GuideDate />\n        <GuidelineRuler style={{ height: `${currentWindowDimensions.y}px` }} />\n      </TopGuide>\n    </Container>\n  );\n};\n\nexport { Guideline };\n","import styled from 'styled-components';\n\ntype ContentProps = {\n  bgColor?: string;\n  countBoxes: number;\n  rowRepetitions?: number;\n  height?: string | number;\n  rowHeight?: string | number;\n};\n\nexport const Container = styled.div`\n  min-height: calc(100vh / 3);\n`;\n\nexport const Content = styled.div<ContentProps>`\n  transition: all 0.8s ease;\n  display: grid;\n  width: fit-content;\n  height: ${({ height }) => height || 'calc(100% - 240px)'};\n  /* height: ${({ height }) => height || '100%'}; */\n  /* min-height: calc((100% - 80px) / 3); */\n  background: ${({ bgColor }) => bgColor && bgColor};\n  grid-template-rows: ${({ rowRepetitions }) =>\n    `repeat(${rowRepetitions || 2}, ${'auto' || '1fr'})`};\n  /* grid-template-rows: ${({ rowRepetitions, rowHeight }) =>\n    `repeat(${rowRepetitions || 2}, ${rowHeight || '1fr'})`}; */\n  grid-template-columns: ${({ countBoxes }) => `repeat(${countBoxes}, auto)`};\n`;\n\nexport const DivComplete = styled.div`\n  position: fixed;\n  top: 60px;\n  margin-left: -70px;\n  background: ${props => props.theme.colors.green[1]};\n  width: 70px;\n  height: 20px;\n  z-index: 3;\n`;\n","import { useYears } from '../../../../hooks';\n\nimport { Container, Content, DivComplete } from './styles';\n\ninterface ContainerProps {\n  bgColor: string;\n  rowRepetitions: number;\n  height: string | number;\n  rowHeight: string | number;\n}\n\nconst RowContainer: React.FC<ContainerProps> = ({\n  bgColor,\n  rowRepetitions,\n  height,\n  rowHeight,\n  children\n}) => {\n  const { years } = useYears();\n\n  return (\n    <Container>\n      <DivComplete />\n\n      <Content\n        countBoxes={years.length}\n        bgColor={bgColor}\n        rowRepetitions={rowRepetitions}\n        height={height}\n        rowHeight={rowHeight}\n      >\n        {children}\n      </Content>\n    </Container>\n  );\n};\n\nexport { RowContainer };\n","import styled from 'styled-components';\n\nexport const Container = styled.section`\n  display: flex;\n\n  width: max-content;\n  position: relative;\n\n  height: auto;\n`;\n\nexport const Aside = styled.aside`\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  height: auto;\n  width: 70px;\n  background: ${props => props.theme.colors.green[1]};\n  color: ${props => props.theme.colors.white};\n  writing-mode: vertical-lr;\n  position: sticky;\n  left: 0;\n  z-index: 5;\n  padding: 20px 0;\n\n  div {\n    height: calc(100% - 20px);\n    width: 70px;\n    font-size: 10px;\n    display: flex;\n    align-items: center;\n    justify-content: center;\n    text-transform: uppercase;\n    letter-spacing: 2px;\n    // margin-left: 22px;\n\n    span {\n      border-left: 1px solid ${props => props.theme.colors.white};\n      height: 100%;\n      display: flex;\n      justify-content: center;\n      padding-left: 10px;\n      margin-left: 20px;\n    }\n  }\n`;\n","import styled, { css } from 'styled-components';\n\ninterface ContainerProps {\n  top: string;\n}\n\nexport const Container = styled.span<ContainerProps>`\n  position: absolute;\n  left: 50%;\n  transform: translateX(-50%);\n\n  ${({ top }) =>\n    top &&\n    css`\n      top: ${top};\n    `}\n`;\n","import React from 'react';\n\nimport { Container } from './styles';\n\ninterface LineYearMarkerProps {\n  year: number;\n  top: string | undefined;\n}\n\nconst LineYearMarker: React.FC<LineYearMarkerProps> = ({ year, top = '' }) => (\n  <Container top={top}>{year}</Container>\n);\n\nexport { LineYearMarker };\n","import styled, { css } from 'styled-components';\n\ninterface SquareProps {\n  marginTop?: string | number;\n  borderColor: string;\n}\n\nexport const Container = styled.div<SquareProps>`\n  position: relative;\n  display: flex;\n  justify-content: flex-start;\n  font-family: ${props => props.theme.font.Oswald};\n  font-size: 18pt;\n  color: ${({ theme }) => theme.colors.beige[1]};\n\n  border-right: ${({ borderColor }) => `2px solid ${borderColor}`};\n  border-top: ${({ borderColor }) => `2px solid ${borderColor}`};\n\n  ${({ marginTop }) =>\n    marginTop &&\n    css`\n      margin-top: ${marginTop};\n    `}\n`;\n","import React, { HTMLAttributes, MouseEvent, useCallback } from 'react';\nimport { useTheme } from 'styled-components';\n\nimport { useMouseEvent } from '../../../../hooks';\nimport { LineYearMarker } from '../LineYearMarker';\n\nimport { Container } from './styles';\n\ninterface SquareProps extends HTMLAttributes<HTMLDivElement> {\n  borderColor?: string;\n  squarePosition?: 'top' | 'bottom';\n  showLineYear?: boolean;\n  lineYearTopPosition?: string;\n  year: number;\n}\n\nconst Square: React.FC<SquareProps> = ({\n  children,\n  borderColor,\n  showLineYear = false,\n  lineYearTopPosition,\n  year,\n  ...rest\n}) => {\n  const { onMouseEnter, onMouseMove } = useMouseEvent();\n  const {\n    colors: { beige }\n  } = useTheme();\n\n  const handleMouseEnter = useCallback(\n    (yearNumber: number) => onMouseEnter(yearNumber),\n    [onMouseEnter]\n  );\n\n  const handleMouseMove = (e: MouseEvent) => {\n    const { clientWidth } = e.currentTarget;\n    const { left: bnds } = e.currentTarget.getBoundingClientRect();\n    const { clientX } = e;\n\n    const checkTheBiggest = () => {\n      if (clientX > bnds) {\n        const positionX = clientX - bnds;\n\n        return positionX;\n      }\n\n      const positionX = bnds - clientX;\n      return positionX;\n    };\n\n    const currentWidthPosition = checkTheBiggest();\n    const coveredPercentage = (100 * currentWidthPosition) / clientWidth;\n\n    onMouseMove({ currentWidthPosition, coveredPercentage });\n  };\n\n  return (\n    <Container\n      borderColor={borderColor || beige[2]}\n      onMouseEnter={() => handleMouseEnter(year)}\n      onMouseMove={handleMouseMove}\n      {...rest}\n    >\n      {children}\n\n      {year % 2 === 0 && showLineYear && (\n        <LineYearMarker top={lineYearTopPosition} year={year} />\n      )}\n    </Container>\n  );\n};\n\nexport { Square };\n","import styled from 'styled-components';\n\ninterface ContainerCardProps {\n  zoomLevel: number;\n  isOpen?: boolean;\n}\n\ninterface ContentProps extends ContainerCardProps {\n  color: string;\n}\n\ninterface LineMarkCardProps extends ContentProps {}\n\ninterface OpenModalButtonProps {\n  color: string;\n}\n\ninterface ThumbButtonProps {\n  color: string;\n}\n\ninterface TitleProps {\n  color: string;\n}\n\ninterface SubcategoryProps {\n  color: string;\n}\n\nexport const LineCard = styled.div<LineMarkCardProps>`\n  position: absolute;\n  width: 1px;\n  height: 50px;\n  background: ${({ color }) => color};\n  left: 82px;\n`;\n\nexport const Container = styled.div<ContainerCardProps>`\n  position: absolute;\n  left: 50%;\n  top: 90%;\n  transform: translateX(-30.6%);\n  width: 270px;\n  height: 100px;\n  background: transparent;\n  /* z-index: 1; */\n`;\n\nexport const Content = styled.div<ContentProps>`\n  position: relative;\n  top: 50px;\n  width: 270px;\n  height: auto;\n  padding: 10px;\n  border-radius: 10px;\n  cursor: initial;\n  background: ${props => props.theme.colors.white};\n  box-shadow: 3px 3px 7px 0px rgb(0 0 0 / 23%);\n\n  ::before {\n    content: '';\n    position: absolute;\n    left: 25%;\n    top: -14px;\n    width: 0;\n    height: 0;\n    border-left: 14px solid transparent;\n    border-right: 14px solid transparent;\n    border-bottom: 14px solid ${props => props.theme.colors.white};\n    clear: both;\n  }\n`;\n\nexport const Category = styled.h2`\n  font-weight: 800 !important;\n  margin-bottom: 10px !important;\n  font-size: 12px !important;\n`;\n\nexport const Title = styled.h1<TitleProps>`\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  border-radius: 5px;\n  margin-bottom: 5px;\n  padding: 5px 10px;\n  width: 100%;\n  background: ${({ color }) => color};\n  font-size: 12px;\n  color: ${props => props.theme.colors.white};\n  font-family: ${props => props.theme.font.Ralaway};\n  font-weight: bold;\n  text-align: center;\n`;\n\nexport const Subcategory = styled.div<SubcategoryProps>`\n  display: flex;\n  flex-direction: column;\n  flex: 1;\n  margin-top: 3px;\n  padding: 3px 10px;\n  height: 80%;\n\n  div {\n    display: flex;\n    flex-direction: column;\n    width: 100%;\n    margin-bottom: 5px;\n\n    h2 {\n      font-size: 12px;\n      color: ${props => props.theme.colors.green[1]};\n      text-transform: uppercase;\n      margin-bottom: 5px;\n      font-family: ${props => props.theme.font.Ralaway};\n      font-weight: bold;\n    }\n\n    h3 {\n      font-size: 14px;\n      font-family: ${props => props.theme.font.Oswald};\n      color: ${({ color }) => color};\n      font-weight: 400;\n    }\n  }\n\n  h4 {\n    font-size: 13px;\n    font-family: ${props => props.theme.font.Oswald};\n    font-weight: 300;\n    color: ${({ color }) => color};\n    max-height: 150px;\n    overflow-y: auto;\n    margin-bottom: 30px;\n\n    &::-webkit-scrollbar {\n      width: 8px;\n    }\n\n    &::-webkit-scrollbar-track {\n      background: #f3f3f3;\n    }\n\n    &::-webkit-scrollbar-thumb {\n      background-color: #d3d3d3;\n      border-radius: 20px;\n      border: 3px solid #d3d3d3;\n    }\n  }\n`;\n\nexport const ThumbButton = styled.div<ThumbButtonProps>`\n  width: 15px !important;\n  height: 15px;\n  border-radius: 50%;\n  position: absolute;\n  right: 15px;\n  bottom: 10px;\n  cursor: pointer;\n\n  &:hover {\n    color: ${({ color }) => color};\n  }\n`;\n\nexport const OpenModalButton = styled.div<OpenModalButtonProps>`\n  width: 15px !important;\n  height: 15px;\n  border-radius: 50%;\n  position: absolute;\n  right: 34px;\n  bottom: 10px;\n  cursor: pointer;\n\n  &:hover {\n    color: ${({ color }) => color};\n  }\n`;\n","import styled, { css } from 'styled-components';\n\ninterface StyleContainerCardProps {\n  zoomLevel: number;\n  isOpen?: boolean;\n  qualification?: string;\n  isEndOfYears: boolean;\n  isStartOfYears: boolean;\n  isTopPosition: boolean;\n  theCardIsVeryBig: boolean;\n}\n\nexport const StyleContainer = styled.div<StyleContainerCardProps>`\n  position: absolute;\n  background: transparent;\n\n  ${({\n    isEndOfYears,\n    isStartOfYears,\n    qualification,\n    isTopPosition,\n    theCardIsVeryBig\n  }) => {\n    if (!isEndOfYears && !isStartOfYears) {\n      if (qualification === 'negative') {\n        return css`\n          bottom: 90%;\n          display: flex;\n          flex-direction: column-reverse;\n          left: 50%;\n          transform: translateX(-30.6%);\n          width: 270px;\n        `;\n      }\n\n      if (theCardIsVeryBig) {\n        return css`\n          width: 330px;\n          left: 90%;\n        `;\n      }\n\n      return css`\n        top: 90%;\n        height: 100px;\n        left: 50%;\n        transform: translateX(-30.6%);\n        width: 270px;\n      `;\n    }\n\n    if (isEndOfYears || isStartOfYears) {\n      if (isEndOfYears) {\n        return css`\n          width: 330px;\n          right: 13px;\n          bottom: ${qualification === 'negative' && '-15px'};\n          top: ${isTopPosition && 'calc(0% - 10px)'};\n        `;\n      }\n\n      if (isStartOfYears) {\n        return css`\n          width: 330px;\n          left: 90%;\n        `;\n      }\n    }\n\n    return '';\n  }};\n`;\n","import React from 'react';\nimport { useZoom } from '../../../../hooks';\n\nimport { StyleContainer } from './styles';\n\nexport type CardPropsValidade = {\n  markPositionTop: number;\n  markHeight: number;\n  screenHeight: number;\n  heightCard: number;\n};\n\ninterface ContainerProps extends React.HTMLAttributes<HTMLDivElement> {\n  children: React.ReactNode;\n  dataQualification?: string;\n  isEndOfYears: boolean;\n  isStartOfYears: boolean;\n  isTopPosition: boolean;\n  theCardIsVeryBig: boolean;\n}\n\nconst Container: React.FC<ContainerProps> = ({\n  children,\n  dataQualification,\n  isEndOfYears,\n  isStartOfYears,\n  isTopPosition,\n  theCardIsVeryBig,\n  ...rest\n}) => {\n  const { zoomLevel } = useZoom();\n\n  return (\n    <StyleContainer\n      isEndOfYears={isEndOfYears}\n      isStartOfYears={isStartOfYears}\n      qualification={dataQualification}\n      zoomLevel={zoomLevel}\n      isTopPosition={isTopPosition}\n      theCardIsVeryBig={theCardIsVeryBig}\n      {...rest}\n    >\n      {children}\n    </StyleContainer>\n  );\n};\n\nexport { Container };\n","import styled, { css } from 'styled-components';\n\ninterface ContainerProps {\n  color: string;\n  isEndOfYears: boolean;\n  isStartOfYears: boolean;\n  isNegative: boolean;\n  isTopPosition: boolean;\n  theCardIsVeryBig: boolean;\n}\n\nexport const Container = styled.div<ContainerProps>`\n  position: absolute;\n  width: 1px;\n  height: 50px;\n  background: ${({ color }) => color};\n  left: 82px;\n\n  ${({\n    isEndOfYears,\n    isStartOfYears,\n    isNegative,\n    isTopPosition,\n    theCardIsVeryBig\n  }) => {\n    if (isEndOfYears) {\n      return css`\n        transform: rotate(90deg);\n        top: 50%;\n        right: 25px;\n        margin-top: -7%;\n        left: initial;\n\n        ${() => {\n          if (isNegative) {\n            return css`\n              top: initial;\n              bottom: -4px;\n            `;\n          }\n\n          if (isTopPosition) {\n            return css`\n              top: 15px;\n            `;\n          }\n          return css`\n            top: 50%;\n          `;\n        }}\n      `;\n    }\n\n    if (isStartOfYears || theCardIsVeryBig) {\n      return css`\n        transform: rotate(90deg);\n        top: 50%;\n        margin-top: -7%;\n        left: 25px;\n      `;\n    }\n    return '';\n  }};\n`;\n","import React from 'react';\nimport { Container } from './styles';\n\ninterface ContainerProps {\n  color: string;\n  isEndOfYears: boolean;\n  isStartOfYears: boolean;\n  dataQualification: string;\n  isTopPosition: boolean;\n  theCardIsVeryBig: boolean;\n}\n\nconst LineCard: React.FC<ContainerProps> = ({\n  color,\n  isEndOfYears,\n  isStartOfYears,\n  dataQualification,\n  isTopPosition,\n  theCardIsVeryBig\n}) => {\n  const isNegative = dataQualification === 'negative';\n\n  return (\n    <Container\n      isEndOfYears={isEndOfYears}\n      isStartOfYears={isStartOfYears}\n      color={color}\n      isNegative={isNegative}\n      isTopPosition={isTopPosition}\n      theCardIsVeryBig={theCardIsVeryBig}\n    />\n  );\n};\n\nexport default LineCard;\n","import styled, { css } from 'styled-components';\n\ninterface ContainerProps {\n  color: string;\n  isNegative: boolean;\n  isEndOfYears: boolean;\n  isStartOfYears: boolean;\n  isTopPosition: boolean;\n  theCardIsVeryBig: boolean;\n}\n\nexport const Container = styled.div<ContainerProps>`\n  position: relative;\n  width: 270px;\n  height: auto;\n  padding: 10px;\n  border-radius: 10px;\n  cursor: initial;\n  background: ${props => props.theme.colors.white};\n  box-shadow: 3px 3px 7px 0px rgb(0 0 0 / 23%);\n\n  ${({\n    isNegative,\n    isEndOfYears,\n    isStartOfYears,\n    isTopPosition,\n    theCardIsVeryBig\n  }) => {\n    if (!isEndOfYears && !isStartOfYears) {\n      if (isNegative) {\n        return css`\n          margin-bottom: -5px;\n          bottom: 50px;\n\n          ::after {\n            content: '';\n            position: absolute;\n            left: 25%;\n            bottom: -14px;\n            width: 0;\n            height: 0;\n            border-left: 14px solid transparent;\n            border-right: 14px solid transparent;\n            border-top: 14px solid ${props => props.theme.colors.white};\n          }\n        `;\n      }\n\n      if (theCardIsVeryBig) {\n        return css`\n          left: 19%;\n\n          ::after {\n            content: '';\n            position: absolute;\n            left: -7%;\n            top: calc(50% - 7px);\n            width: 0;\n            height: 0;\n            border-left: 14px solid transparent;\n            border-right: 14px solid transparent;\n            border-top: 14px solid ${props => props.theme.colors.white};\n            transform: rotate(90deg);\n          }\n        `;\n      }\n\n      return css`\n        top: 50px;\n\n        ::before {\n          content: '';\n          position: absolute;\n          left: 25%;\n          top: -14px;\n          width: 0;\n          height: 0;\n          border-left: 14px solid transparent;\n          border-right: 14px solid transparent;\n          border-bottom: 14px solid ${props => props.theme.colors.white};\n          clear: both;\n        }\n      `;\n    }\n\n    if (isEndOfYears || isStartOfYears) {\n      if (isEndOfYears) {\n        return css`\n          ::after {\n            content: '';\n            position: absolute;\n            right: -7%;\n            width: 0;\n            height: 0;\n            border-left: 14px solid transparent;\n            border-right: 14px solid transparent;\n            border-top: 14px solid ${props => props.theme.colors.white};\n            transform: rotate(-90deg);\n\n            ${() => {\n              if (isNegative) {\n                return css`\n                  top: initial;\n                  bottom: 15px;\n                `;\n              }\n\n              if (isTopPosition) {\n                return css`\n                  top: 10px;\n                `;\n              }\n\n              return css`\n                top: calc(50% - 7px);\n              `;\n            }}\n          }\n        `;\n      }\n\n      if (isStartOfYears) {\n        return css`\n          left: 19%;\n          ::after {\n            content: '';\n            position: absolute;\n            left: -7%;\n            top: calc(50% - 7px);\n            width: 0;\n            height: 0;\n            border-left: 14px solid transparent;\n            border-right: 14px solid transparent;\n            border-top: 14px solid ${props => props.theme.colors.white};\n            transform: rotate(90deg);\n          }\n        `;\n      }\n    }\n\n    return '';\n\n    // if (isStartOfYears) {\n    //   return css``;\n    // }\n\n    // if (isEndOfYears) {\n    //   return css`\n    //     ::after {\n    //       content: '';\n    //       position: absolute;\n    //       right: -7%;\n    //       top: calc(50% - 7px);\n    //       width: 0;\n    //       height: 0;\n    //       border-left: 14px solid transparent;\n    //       border-right: 14px solid transparent;\n    //       border-top: 14px solid ${props => props.theme.colors.white};\n    //       transform: rotate(-90deg);\n    //     }\n    //   `;\n    // }\n\n    // return css`\n    // top: 50px;\n\n    // ::before {\n    //   content: '';\n    //   position: absolute;\n    //   left: 25%;\n    //   top: -14px;\n    //   width: 0;\n    //   height: 0;\n    //   border-left: 14px solid transparent;\n    //   border-right: 14px solid transparent;\n    //   border-bottom: 14px solid ${props => props.theme.colors.white};\n    //   clear: both;\n    // }\n    // `;\n  }}\n`;\n","import React, { forwardRef } from 'react';\nimport { Container } from './styles';\n\ninterface ContentProps {\n  color: string;\n  children: React.ReactNode;\n  dataQualification: string;\n  isEndOfYears: boolean;\n  isStartOfYears: boolean;\n  isTopPosition: boolean;\n  theCardIsVeryBig: boolean;\n}\n\nconst ContentRef: React.ForwardRefRenderFunction<\n  HTMLDivElement,\n  ContentProps\n> = (\n  {\n    children,\n    color,\n    dataQualification,\n    isEndOfYears,\n    isStartOfYears,\n    isTopPosition,\n    theCardIsVeryBig\n  },\n  ref\n) => {\n  const isNegative = dataQualification === 'negative';\n\n  return (\n    <Container\n      isEndOfYears={isEndOfYears}\n      isStartOfYears={isStartOfYears}\n      isNegative={isNegative}\n      ref={ref}\n      color={color}\n      isTopPosition={isTopPosition}\n      theCardIsVeryBig={theCardIsVeryBig}\n    >\n      {children}\n    </Container>\n  );\n};\n\nexport const Content = forwardRef(ContentRef);\n","import { MouseEvent, useCallback, useState } from 'react';\nimport { v4 as uuidv4 } from 'uuid';\n\nimport { AiOutlinePlusCircle } from 'react-icons/ai';\nimport { FaThumbtack } from 'react-icons/fa';\n\nimport { useCustomRef, useScreenDimensions, useYears } from '../../../hooks';\n\nimport {\n  Title,\n  Subcategory,\n  ThumbButton,\n  OpenModalButton,\n  Category\n} from './styles';\n\nimport { IJsonData } from '../../../data';\nimport { Container } from './Container';\nimport LineCard from './LineCard';\nimport { Content } from './Content';\n\ninterface CardProps {\n  isFixed: boolean;\n  color: string;\n  handleFixedCard: () => void;\n  zoomLevel: number;\n  isOpen: boolean;\n  data: IJsonData;\n  position: DOMRect;\n  handleMouseEnter: () => void;\n  handleMouseLeave: () => void;\n}\n\nconst Card: React.FC<CardProps> = ({\n  isFixed,\n  isOpen,\n  color,\n  handleFixedCard,\n  data,\n  position,\n  handleMouseEnter,\n  handleMouseLeave\n}) => {\n  const [heightCard, setHeightCard] = useState(0);\n\n  const { modalRef } = useCustomRef();\n  const { mainWindowScreen } = useScreenDimensions();\n  const { years } = useYears();\n\n  const isEndOfYears = years[years.length - 2] <= data.date.year;\n  const isStartOfYears = years[0] + 7 >= data.date.year;\n\n  const handleClick = (e: MouseEvent, id: string) => {\n    modalRef.current?.openModal({\n      coordinates: { x: e.clientX, y: e.clientY },\n      id\n    });\n    if (!isFixed) {\n      handleFixedCard();\n    }\n  };\n\n  const elRef = useCallback(node => {\n    if (node !== null) {\n      setHeightCard(node.getBoundingClientRect().height);\n    }\n  }, []);\n\n  if (isOpen || isFixed) {\n    const isTopPosition = (position.top as number) < 210;\n\n    const markPositionTop = position.top;\n    const markHeight = position.height;\n    const screenHeight = mainWindowScreen.y;\n\n    const theCardIsVeryBig =\n      markPositionTop + heightCard + markHeight + 50 > screenHeight;\n\n    return (\n      <Container\n        isEndOfYears={isEndOfYears}\n        isStartOfYears={isStartOfYears}\n        onMouseEnter={handleMouseEnter}\n        onMouseLeave={handleMouseLeave}\n        dataQualification={data.qualification}\n        isTopPosition={isTopPosition}\n        theCardIsVeryBig={theCardIsVeryBig}\n      >\n        <LineCard\n          isEndOfYears={isEndOfYears}\n          isStartOfYears={isStartOfYears}\n          color={color}\n          dataQualification={data.qualification}\n          isTopPosition={isTopPosition}\n          theCardIsVeryBig={theCardIsVeryBig}\n        />\n        <Content\n          isEndOfYears={isEndOfYears}\n          isStartOfYears={isStartOfYears}\n          dataQualification={data.qualification}\n          ref={elRef}\n          color={data.color}\n          isTopPosition={isTopPosition}\n          theCardIsVeryBig={theCardIsVeryBig}\n        >\n          {data.dimensions.map(dimension => (\n            <Title key={uuidv4()} color={data.color}>\n              {dimension}\n            </Title>\n          ))}\n          <Subcategory color={data.color}>\n            <div>\n              <Category>{data.category.name}</Category>\n              {data.category.subcategories.map(subcategory => (\n                <h2 key={uuidv4()}>{subcategory}</h2>\n              ))}\n              <h3>\n                {data.legalFramework.legalInstrument}{' '}\n                {data.legalFramework.title}\n              </h3>\n            </div>\n            <ThumbButton\n              color={data.color}\n              onClick={handleFixedCard}\n              title=\"Fixar\"\n            >\n              <FaThumbtack size=\"13\" color={isFixed ? data.color : ''} />\n            </ThumbButton>\n            <OpenModalButton\n              color={data.color}\n              onClick={e => handleClick(e, data.id)}\n              title=\"Ver mais\"\n            >\n              <AiOutlinePlusCircle size=\"13\" />\n            </OpenModalButton>\n            <h4>{data.legalFramework.descriptive}</h4>\n          </Subcategory>\n        </Content>\n      </Container>\n    );\n  }\n\n  // if ((isFixed || isOpen) && heightCard !== 0) {\n  // const markPositionTop = position.top;\n  // const markHeight = position.height;\n  // const screenHeight = mainWindowScreen.y;\n  // const iscardVeryBig =\n  //   markPositionTop + heightCard + markHeight + 50 > screenHeight;\n  // console.log(iscardVeryBig);\n  // }\n\n  return null;\n};\nexport { Card };\n","import styled, { css } from 'styled-components';\n\ninterface ContainerProps {\n  rowMovimentation: number;\n}\ninterface ContentProps {\n  isOpen: boolean;\n  zoomLevel: number;\n  isFixed: boolean;\n  bgColor: string;\n}\n\ninterface MarkWrapperProps {\n  isOpen: boolean;\n  zoomLevel: number;\n  isFixed: boolean;\n  isStar?: boolean;\n}\n\n// type MarkWrapperProps = Omit<ContentProps, 'bgColor'>;\ninterface LineProps extends Omit<ContentProps, 'isOpen' | 'zoomLevel'> {\n  height: number;\n}\n\nexport const Container = styled.div<ContainerProps>`\n  position: relative;\n  display: flex;\n  left: ${({ rowMovimentation }) => `${rowMovimentation}%`};\n  align-items: center;\n  justify-content: center;\n`;\n\nexport const Content = styled.div<ContentProps>`\n  position: relative;\n\n  ${({ isOpen, isFixed }) => {\n    if (isOpen) {\n      return css`\n        z-index: 4;\n      `;\n    }\n\n    if (isFixed) {\n      return css`\n        z-index: 3;\n      `;\n    }\n\n    return css`\n      z-index: 1;\n    `;\n  }}\n\n  cursor: pointer;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  margin: 1px;\n\n  /* transition: width 0.8s ease, height 0.8s ease; */\n  background: ${({ bgColor }) => bgColor};\n  border-radius: 50%;\n\n  img {\n    position: relative;\n    z-index: 1;\n  }\n\n  ${({ zoomLevel }) => {\n    if (zoomLevel === 1) {\n      return css`\n        width: 28px;\n        height: 28px;\n      `;\n    }\n    if (zoomLevel === 2) {\n      return css`\n        width: 40px;\n        height: 40px;\n      `;\n    }\n\n    return css`\n      width: 13px;\n      height: 13px;\n    `;\n  }}\n`;\n\nexport const MarkWrapper = styled.span<MarkWrapperProps>`\n  display: flex;\n  align-items: center;\n  justify-content: center;\n\n  border-radius: 50%;\n  width: calc(100% - 2px);\n  height: calc(100% - 2px);\n\n  ${({ isStar, zoomLevel, isFixed, isOpen }) => {\n    if (!(isFixed || isOpen) && isStar && zoomLevel > 0) {\n      return css`\n        border: 2px solid #fff;\n        width: calc(100% - 6px);\n        height: calc(100% - 6px);\n\n        svg {\n          width: 10px;\n        }\n      `;\n    }\n\n    if ((isFixed || isOpen) && isStar && zoomLevel > 0) {\n      return css`\n        border: 2px solid #fff;\n        width: calc(100% - 2px);\n        height: calc(100% - 2px);\n      `;\n    }\n    return css`\n      border: ${() =>\n        (isOpen || isFixed) && zoomLevel > 0 ? '2px solid #fff' : 'none'};\n    `;\n  }}\n`;\n\nexport const Line = styled.div<LineProps>`\n  position: absolute;\n  height: ${({ height }) => `calc(${height}px - 80px)`};\n  bottom: 90%;\n  left: 50%;\n  transform: translateX(-50%);\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  justify-content: center;\n\n  #ball {\n    width: 10px;\n    height: 10px;\n    background: ${({ bgColor }) => bgColor};\n    border-radius: 50%;\n  }\n\n  #line {\n    height: 100%;\n\n    ${({ bgColor, isFixed }) =>\n      isFixed\n        ? css`\n            width: 0;\n            border: 0.5px solid ${bgColor};\n          `\n        : css`\n    width: 2px;\n    background:\n    repeating-linear-gradient(\n      0deg,\n      transparent,\n      transparent 8px,\n      ${bgColor} 10px,\n      ${bgColor} 15px\n    );\n    };`}\n  }\n`;\n","import { MouseEvent, useState, useRef } from 'react';\nimport { useCustomRef, useZoom } from '../../hooks';\nimport { Card } from './Card';\n\nimport { Container, Content, MarkWrapper, Line } from './styles';\n\nimport { IJsonData } from '../../data';\n\nimport { useOpenAllCards } from '../../hooks/useOpenAllCards';\n\ninterface MarkProps {\n  color: string;\n  rowMovimentation: number;\n  data: IJsonData;\n}\n\nconst Mark: React.FC<MarkProps> = ({ color, rowMovimentation, data }) => {\n  const [isOpen, setIsOpen] = useState(false);\n  const [isFixed, setIsFixed] = useState(false);\n  const { zoomLevel } = useZoom();\n\n  const { modalRef } = useCustomRef();\n\n  const { isOpenAll } = useOpenAllCards();\n\n  const markRef = useRef<HTMLDivElement>(null);\n  const markRefHeight = markRef.current?.getBoundingClientRect().y as number;\n\n  const handleClick = (e: MouseEvent, id: string) => {\n    modalRef.current?.openModal({\n      coordinates: { x: e.clientX, y: e.clientY },\n      id\n    });\n    setIsFixed(true);\n    // console.log(markRef.current?.getBoundingClientRect());\n  };\n\n  const handleMouseEnter = () => {\n    setIsOpen(true);\n  };\n\n  const handleMouseLeave = () => {\n    setIsOpen(false);\n  };\n\n  const handleFixedCard = () => {\n    setIsFixed(!isFixed);\n  };\n\n  const Icon = data.category.icon;\n  const iconName = Icon.name === 'Star' && true;\n\n  return (\n    <Container ref={markRef} rowMovimentation={rowMovimentation}>\n      {(isOpen || isFixed || isOpenAll) && (\n        <Line\n          isFixed={isFixed || isOpenAll}\n          height={markRefHeight}\n          bgColor={color}\n        >\n          <span id=\"ball\" />\n          <span id=\"line\" />\n        </Line>\n      )}\n      <Content\n        bgColor={color}\n        isOpen={isOpen}\n        isFixed={isFixed}\n        zoomLevel={zoomLevel}\n      >\n        <MarkWrapper\n          isOpen={isFixed}\n          isFixed={isOpen}\n          zoomLevel={zoomLevel}\n          onMouseEnter={handleMouseEnter}\n          onMouseLeave={handleMouseLeave}\n          onClick={e => handleClick(e, data.id)}\n          isStar={iconName}\n        >\n          {zoomLevel > 0 && Icon && (\n            <Icon width={zoomLevel === 1 ? '14px' : '24px'} />\n          )}\n        </MarkWrapper>\n\n        <Card\n          isFixed={isFixed || isOpenAll}\n          isOpen={isOpen}\n          position={markRef.current?.getBoundingClientRect() as DOMRect}\n          color={color}\n          handleFixedCard={handleFixedCard}\n          zoomLevel={zoomLevel}\n          handleMouseLeave={handleMouseLeave}\n          handleMouseEnter={handleMouseEnter}\n          data={data}\n        />\n      </Content>\n    </Container>\n  );\n};\nexport { Mark };\n","import React from 'react';\n\n// import { Content } from './styles';\n\nimport { IJsonData } from '../../../../../data';\nimport { Mark } from '../../../../Mark';\n\ninterface ContentProps {\n  dataArray: IJsonData[];\n  year?: number;\n  month?: number;\n}\n\nconst Content: React.FC<ContentProps> = ({ dataArray, year, month }) => {\n  const renderMarks = (data: IJsonData) => (\n    <Mark\n      key={data.id}\n      color={data.color}\n      rowMovimentation={data.widthMovimentation}\n      data={data}\n    />\n  );\n\n  if (year) {\n    return (\n      <>\n        {dataArray.map(result => {\n          if (year === result.date.year) {\n            return renderMarks(result);\n          }\n          return null;\n        })}\n      </>\n    );\n  }\n\n  return (\n    <>\n      {dataArray.map(result => {\n        if (month === result.date.month) {\n          return renderMarks(result);\n        }\n        return null;\n      })}\n    </>\n  );\n};\n\nexport default Content;\n","import styled from 'styled-components';\n\ninterface ContainerProps {\n  position: boolean;\n  zoomLevel: number;\n}\n\nexport const Container = styled.div<ContainerProps>`\n  display: flex;\n  flex-direction: ${({ position }) => (position ? 'column-reverse' : 'column')};\n  flex: 1;\n  padding: ${({ position }) =>\n    position ? '10px 0px 0px 0px' : '0px 0px 10px 0px'};\n\n  transition: all 0.8s ease;\n\n  width: ${({ zoomLevel }) => {\n    if (zoomLevel === 0) {\n      return '30px';\n    }\n\n    if (zoomLevel === 1) {\n      return '50px';\n    }\n\n    return '45px';\n  }};\n`;\n","import { range } from 'lodash';\nimport { v4 as uuidv4 } from 'uuid';\n\nimport { useData, useYears, useZoom } from '../../../../hooks';\nimport Content from './Content';\n\nimport { Container } from './styles';\n\ninterface RenderMarkProps {\n  year: number;\n  rowName: string;\n  isTheTopRow?: boolean;\n}\n\nconst RenderMarks: React.FC<RenderMarkProps> = ({\n  year,\n  rowName,\n  isTheTopRow = false\n}) => {\n  const { interval } = useYears();\n  const { zoomLevel } = useZoom();\n  const { data } = useData();\n\n  const handleRangeNumbers = (inicialNumber: number, type: 'y' | 'm') => {\n    let newRange: number[] = [0];\n\n    if (type === 'y') {\n      newRange = range(inicialNumber, inicialNumber + interval);\n    } else {\n      newRange = range(inicialNumber, inicialNumber * 13);\n    }\n\n    const rangeMap = newRange.map(item => ({\n      id: uuidv4(),\n      number: item\n    }));\n\n    return rangeMap;\n  };\n\n  const rangeYears = handleRangeNumbers(year, 'y');\n  const rangeMonths = handleRangeNumbers(1, 'm');\n\n  const dataFilter = data.filter(\n    item =>\n      item.date.year >= year &&\n      item.date.year < year + interval &&\n      item.position === isTheTopRow &&\n      item.qualification === rowName\n  );\n\n  if (zoomLevel < 2) {\n    return (\n      <>\n        {rangeYears.map(yearItem => (\n          <Container\n            position={isTheTopRow}\n            key={yearItem.id}\n            zoomLevel={zoomLevel}\n          >\n            <Content dataArray={dataFilter} year={yearItem.number} />\n          </Container>\n        ))}\n      </>\n    );\n  }\n\n  return (\n    <>\n      {rangeMonths.map(monthItem => (\n        <Container\n          position={isTheTopRow}\n          key={monthItem.id}\n          zoomLevel={zoomLevel}\n        >\n          <Content dataArray={dataFilter} month={monthItem.number} />\n        </Container>\n      ))}\n    </>\n  );\n};\n\nexport { RenderMarks };\n","import { RowContainer } from './RowContainer';\n\nimport { Container, Aside } from './styled';\n\nimport { Square } from './Square';\nimport { RenderMarks } from './RenderMark';\nimport { useYears } from '../../../hooks';\n\ninterface RowProps {\n  bgColor?: string;\n  borderColor?: string;\n  rowRepetitions?: number;\n  height?: string | number;\n  rowHeight?: string | number;\n  showLineYear?: boolean;\n  lineYearTopPosition?: string;\n  rowName?: 'positive' | 'negative' | 'baseline';\n}\n\nconst Row: React.FC<RowProps> = ({\n  borderColor,\n  bgColor = '',\n  rowRepetitions = 2,\n  height = '100%',\n  rowHeight = '1fr',\n  showLineYear = false,\n  lineYearTopPosition,\n  rowName = 'positive'\n}) => {\n  const { years } = useYears();\n\n  return (\n    <Container>\n      <Aside>\n        <div>\n          <span>\n            {rowName === 'positive' ? 'positivo' : ''}\n            {rowName === 'negative' ? 'negativo' : ''}\n            {rowName === 'baseline' ? 'linha base' : ''}\n          </span>\n        </div>\n      </Aside>\n\n      <RowContainer\n        bgColor={bgColor}\n        rowRepetitions={rowRepetitions}\n        height={height}\n        rowHeight={rowHeight}\n      >\n        {years.map(year => (\n          <Square\n            key={year}\n            borderColor={borderColor}\n            showLineYear={showLineYear}\n            lineYearTopPosition={lineYearTopPosition}\n            year={year}\n          >\n            <RenderMarks year={year} rowName={rowName} isTheTopRow />\n          </Square>\n        ))}\n\n        {years.map(year => (\n          <Square borderColor={borderColor} year={year} key={year}>\n            <RenderMarks year={year} rowName={rowName} />\n          </Square>\n        ))}\n      </RowContainer>\n    </Container>\n  );\n};\n\nexport { Row };\n","import styled from 'styled-components';\n\ntype AgeBarProps = {\n  countBoxes: number;\n  zoomLevel: number;\n};\n\nexport const Container = styled.div<AgeBarProps>`\n  transition: all 0.2s ease;\n  position: sticky;\n  margin-left: 70px;\n  padding-right: 10px;\n  top: 0;\n  z-index: 3;\n  display: flex;\n  flex: 1;\n  width: fit-content;\n  height: 20px;\n  min-height: 20px;\n  max-height: 20px;\n  background: ${props => props.theme.colors.green[1]};\n\n  color: white;\n  font-size: 12px;\n  font-family: ${props => props.theme.font.Oswald};\n\n  span {\n    position: relative;\n    left: -10px;\n    display: flex;\n    align-items: center;\n    justify-content: start;\n    opacity: 30%;\n    transition: min-width 0.2s ease;\n\n    min-width: ${({ zoomLevel }) => {\n      if (zoomLevel === 0) {\n        return '152px';\n      }\n\n      if (zoomLevel === 1) {\n        return '152px';\n      }\n\n      return '542px';\n    }};\n  }\n`;\n","import { v4 as uuidv4 } from 'uuid';\n\nimport { useMouseEvent, useYears, useZoom } from '../../../hooks';\nimport { Container } from './styles';\n\nconst TopRulerYears: React.FC = () => {\n  const { years, yearsLength } = useYears();\n  const { zoomLevel } = useZoom();\n  const { handleMouseOver } = useMouseEvent();\n\n  const yearsArray = [...years];\n\n  yearsArray.shift(); // remove\n\n  return (\n    <Container\n      onMouseEnter={handleMouseOver}\n      onMouseLeave={handleMouseOver}\n      countBoxes={yearsLength + 2}\n      zoomLevel={zoomLevel}\n    >\n      <span />\n      {yearsArray.map(year => (\n        <span key={uuidv4()}>{year}</span>\n      ))}\n    </Container>\n  );\n};\n\nexport { TopRulerYears };\n","import styled from 'styled-components';\nimport { darken } from 'polished';\n\nexport const Container = styled.button`\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  padding: 5px;\n  border-radius: 50%;\n  background-color: ${props => props.theme.colors.white};\n  color: ${props => props.theme.colors.green[1]};\n\n  &:disabled {\n    background-color: ${({ theme: { colors } }) => darken(0.1, colors.white)};\n    color: ${({ theme: { colors } }) => colors.grey[1]};\n    cursor: not-allowed;\n  }\n\n  transition: all 0.5s ease-in-out;\n`;\n","import { ButtonHTMLAttributes } from 'react';\nimport { IconType } from 'react-icons';\nimport { Container } from './styles';\n\ninterface ZoomButtonProps extends ButtonHTMLAttributes<HTMLButtonElement> {\n  Icon: IconType;\n  disabled: boolean;\n}\n\nconst ZoomButton: React.FC<ZoomButtonProps> = ({\n  Icon,\n  disabled = false,\n  ...rest\n}) => (\n  <Container type=\"button\" disabled={disabled} {...rest}>\n    <Icon fontSize=\"15px\" />\n  </Container>\n);\n\nexport { ZoomButton };\n","import styled, { keyframes } from 'styled-components';\nimport ScrollContainer from 'react-indiana-drag-scroll';\n\nexport const Container = styled.section`\n  position: relative;\n\n  height: calc(100vh - 60px);\n\n  display: flex;\n  flex-direction: column;\n  flex: 1;\n`;\n\nexport const Content = styled(ScrollContainer)`\n  display: flex;\n  flex-direction: column;\n  flex: 1;\n  cursor: grab;\n`;\n\nconst loadingAnimation = keyframes`\n  from {\n      transform:rotate(0deg);\n  }\n  to {\n      transform:rotate(360deg);\n  }\n}\n`;\n\nexport const Loading = styled.div`\n  width: 100%;\n  height: 100%;\n\n  z-index: 10;\n\n  display: flex;\n  align-items: center;\n  justify-content: center;\n\n  svg {\n    font-size: 40px;\n    color: ${({ theme: { colors } }) => colors.green[1]};\n\n    animation-name: ${loadingAnimation};\n    animation-duration: 5000ms;\n    animation-iteration-count: infinite;\n    animation-timing-function: linear;\n  }\n`;\n\nexport const MessageWidthContainer = styled.div`\n  display: flex;\n  width: 100vw;\n  height: 100vh;\n\n  align-items: center;\n  justify-content: center;\n\n  h1 {\n    max-width: 800px;\n    text-align: center;\n  }\n`;\n\nexport const ZoomButtonsContainer = styled.div`\n  position: fixed;\n  right: 10px;\n  top: 50%;\n  transform: translatey(-50%);\n  box-shadow: 0px 0px 11px 0px rgb(0 0 0 / 52%);\n\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  justify-content: center;\n  gap: 10px;\n  padding: 5px;\n\n  background-color: ${({ theme }) => theme.colors.green[1]};\n\n  border-radius: 40px;\n\n  z-index: 5;\n`;\n","import { useEffect, useRef, useState } from 'react';\nimport { FiMinus, FiPlus } from 'react-icons/fi';\nimport { ImSpinner6 } from 'react-icons/im';\nimport { useTheme } from 'styled-components';\nimport { ArrowsDirectionScroll } from '../../components/Timeline/ArrowsDirectionScroll';\n\nimport { Filter } from '../../components/Filter';\nimport Header from '../../components/Header';\nimport { Menu } from '../../components/Menu';\nimport { Modal } from '../../components/Modal';\nimport { PageLoader } from '../../components/PageLoader';\nimport { Guideline } from '../../components/Timeline/Guideline';\nimport { Row } from '../../components/Timeline/Row';\nimport { TopRulerYears } from '../../components/Timeline/TopRulerYears';\nimport { ZoomButton } from '../../components/ZoomButton';\n\nimport { useCustomRef, useScreenDimensions, useZoom } from '../../hooks';\n\nimport {\n  Container,\n  Content,\n  Loading,\n  MessageWidthContainer,\n  ZoomButtonsContainer\n} from './styles';\n\nconst Home: React.FC = () => {\n  const [isOpenMenu, setIsOpenMenu] = useState(false);\n\n  const scrollContainerRef = useRef<HTMLElement>(null);\n  const ArrowsDirectionScrollRef = useRef<HTMLDivElement>(null);\n\n  // hook useScreenDimensions\n  const { mainWindowScreen, changeCurrentWindowDimensions } =\n    useScreenDimensions();\n\n  // hook useCustomRef\n  const { modalRef, containerRef } = useCustomRef();\n\n  // hook useZoom\n  const { handleZoomIn, handleZoomOut, zoomLevel, isLoading } = useZoom();\n\n  const { colors } = useTheme();\n\n  useEffect(() => {\n    const element = scrollContainerRef.current;\n    const scrollWidth = element?.scrollWidth as number;\n    const clientWidth = element?.clientWidth as number;\n\n    scrollContainerRef.current?.scrollBy(scrollWidth - clientWidth, 0);\n  });\n\n  useEffect(() => {\n    changeCurrentWindowDimensions({\n      x: containerRef.current?.offsetWidth as number,\n      y: containerRef.current?.offsetHeight as number\n    });\n  }, [changeCurrentWindowDimensions, containerRef]);\n\n  const handleEndScroll = () => {\n    const elementScroll = scrollContainerRef.current as HTMLDivElement;\n    const containerArrow = ArrowsDirectionScrollRef.current as HTMLDivElement;\n\n    const percentageScrollHeight =\n      (100 * elementScroll.scrollTop) /\n      (elementScroll.scrollHeight - elementScroll.clientHeight);\n    const percentageScrollWidth =\n      (100 * elementScroll.scrollLeft) /\n      (elementScroll.scrollWidth - elementScroll.clientWidth);\n\n    if (percentageScrollWidth === 100) {\n      containerArrow.classList.remove('isRight');\n      containerArrow.classList.add('isLeft');\n    }\n\n    if (percentageScrollWidth < 100 && percentageScrollWidth > 0) {\n      containerArrow.classList.add('isLeft', 'isRight');\n    }\n\n    if (percentageScrollWidth === 0) {\n      containerArrow.classList.remove('isLeft');\n      containerArrow.classList.add('isRight');\n    }\n\n    if (percentageScrollHeight === 100) {\n      containerArrow.classList.remove('isBottom');\n      containerArrow.classList.add('isTop');\n    }\n\n    if (percentageScrollHeight === 0) {\n      containerArrow.classList.remove('isTop');\n      containerArrow.classList.add('isBottom');\n    }\n\n    if (percentageScrollHeight < 100 && percentageScrollHeight > 0) {\n      containerArrow.classList.add('isBottom', 'isTop');\n    }\n  };\n\n  if (mainWindowScreen.x < 1024) {\n    return (\n      <MessageWidthContainer>\n        <h1>\n          Esta aplicação é melhor visualizada em dispositivos com resolução\n          maior que 1024px\n        </h1>\n      </MessageWidthContainer>\n    );\n  }\n\n  return (\n    <>\n      <PageLoader />\n      <Modal ref={modalRef} />\n      <Menu isOpenMenu={isOpenMenu} setIsOpenMenu={setIsOpenMenu} />\n      <Header setIsOpenMenu={setIsOpenMenu} />\n      <Container ref={containerRef}>\n        {isLoading ? (\n          <Loading>\n            <ImSpinner6 />\n          </Loading>\n        ) : (\n          <Content\n            className=\"container\"\n            innerRef={scrollContainerRef}\n            hideScrollbars={false}\n            onEndScroll={handleEndScroll}\n          >\n            <TopRulerYears />\n            <Guideline />\n\n            <ArrowsDirectionScroll ref={ArrowsDirectionScrollRef} />\n\n            <Row rowName=\"positive\" />\n\n            <Row\n              borderColor={colors.beige[3]}\n              bgColor={colors.beige[1]}\n              showLineYear\n              lineYearTopPosition=\"-40px\"\n              rowName=\"baseline\"\n            />\n\n            <Row showLineYear lineYearTopPosition=\"0\" rowName=\"negative\" />\n          </Content>\n        )}\n\n        <Filter />\n\n        <ZoomButtonsContainer>\n          <ZoomButton\n            onClick={handleZoomIn}\n            disabled={zoomLevel === 2}\n            Icon={FiPlus}\n          />\n          <ZoomButton\n            onClick={handleZoomOut}\n            disabled={zoomLevel === 0}\n            Icon={FiMinus}\n          />\n        </ZoomButtonsContainer>\n      </Container>\n    </>\n  );\n};\n\nexport { Home };\n","import styled from 'styled-components';\n\nexport const Container = styled.section`\n  background-color: ${({ theme }) => theme.colors.white};\n`;\n\nexport const Header = styled.header`\n  width: 100%;\n  padding: 30px 20px 15px;\n  background-color: ${({ theme }) => theme.colors.green['2']};\n\n  div {\n    max-width: 1024px;\n    margin: 0 auto;\n    display: flex;\n    flex-direction: column;\n    gap: 15px;\n\n    h1 {\n      color: ${({ theme }) => theme.colors.green['1']};\n      font-family: ${({ theme }) => theme.font.Saira[1]};\n      font-size: 35px;\n      font-weight: 500;\n      line-height: 1.2;\n    }\n\n    p {\n      font-family: ${({ theme }) => theme.font.Roboto};\n      color: ${({ theme }) => theme.colors.white};\n      font-size: 13px;\n      text-align: center;\n    }\n  }\n`;\n\nexport const Content = styled.div`\n  font-family: ${({ theme }) => theme.font.Roboto};\n  color: ${({ theme }) => theme.colors.green['1']};\n  width: 100%;\n\n  p {\n    font-size: 16px;\n    margin-top: 20px;\n    text-align: justify;\n  }\n`;\n\nexport const Title = styled.h1`\n  font-family: ${({ theme }) => theme.font.Saira[1]};\n  font-size: 23px;\n`;\n\nexport const ContainerParagraph = styled.article`\n  margin: 0 auto;\n  padding: 35px 20px;\n  max-width: 1024px;\n`;\n\nexport const ContainerCards = styled.article`\n  margin: 0 auto;\n  background-color: ${({ theme }) => theme.colors.background};\n  padding: 15px 20px 40px;\n\n  p {\n    margin: 0 auto;\n  }\n`;\n\nexport const Paragraph = styled.p`\n  max-width: 540px;\n  text-align: center !important;\n  margin: 0 auto;\n  padding: 20px 0;\n  font-size: 16px;\n  font-weight: 450;\n`;\n\nexport const Line = styled.div`\n  width: 100px;\n  height: 2px;\n  background-color: ${({ theme }) => theme.colors.green['2']};\n  margin: 0px auto;\n  opacity: 0.7;\n`;\n\nexport const ContentCards = styled.div`\n  display: flex;\n  gap: 30px;\n  justify-content: center;\n  margin-top: 60px;\n`;\n\nexport const Card = styled.div`\n  width: 280px;\n  min-height: 200px;\n  background: ${({ theme }) => theme.colors.white};\n  border-radius: 8px;\n  padding: 30px 20px 20px;\n  box-shadow: 4px 4px 8px 0px #9d9d9d;\n  position: relative;\n\n  h1 {\n    text-align: center;\n  }\n\n  div {\n    margin-top: 20px;\n    p {\n      color: ${({ theme }) => theme.colors.green['1']};\n      padding: 10px;\n      text-align: initial;\n      font-size: 14px;\n    }\n  }\n`;\n\nexport const ContainerIcon = styled.div`\n  width: 60px;\n  height: 60px;\n  background-color: ${({ theme }) => theme.colors.green['2']};\n  border-radius: 50%;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  position: absolute;\n  top: -60px;\n  left: 50%;\n  margin-left: -30px;\n`;\n\nexport const Footer = styled.footer`\n  margin: 20px 20px 30px;\n  padding-bottom: 50px;\n\n  p {\n    max-width: 680px;\n  }\n`;\n\nexport const ContainerDimentions = styled.div`\n  margin-top: 20px;\n\n  h1 {\n    font-family: ${({ theme }) => theme.font.Saira[1]};\n    color: ${({ theme }) => theme.colors.green[2]};\n    font-weight: 500;\n    text-align: center;\n    text-transform: uppercase;\n  }\n`;\n\nexport const Dimentions = styled.p`\n  max-width: 500px;\n  background-color: ${({ theme }) => theme.colors.green[2]};\n  color: ${({ theme }) => theme.colors.white};\n  padding: 10px 0px;\n  margin: 8px auto 0 !important;\n  text-align: center !important;\n  font-weight: 400;\n`;\n\nexport const ContainerBackPage = styled.div`\n  display: flex;\n  align-items: center;\n  gap: 10px;\n`;\n","import React from 'react';\nimport { IoCaretBackSharp } from 'react-icons/io5';\nimport { Link } from 'react-router-dom';\n\nimport { ReactComponent as Logo } from '../../assets/institutional/logoBrics.svg';\nimport { Building, Hammer, Hands } from '../../components/svg/icons/marks';\nimport { useScreenDimensions } from '../../hooks';\nimport { MessageWidthContainer } from '../Home/styles';\n\nimport {\n  Card,\n  Container,\n  ContainerBackPage,\n  ContainerCards,\n  ContainerDimentions,\n  ContainerIcon,\n  ContainerParagraph,\n  Content,\n  ContentCards,\n  Dimentions,\n  Footer,\n  Header,\n  Line,\n  Paragraph,\n  Title\n} from './styles';\n\nconst SaibaMais: React.FC = () => {\n  const { mainWindowScreen } = useScreenDimensions();\n\n  if (mainWindowScreen.x < 1024) {\n    return (\n      <MessageWidthContainer>\n        <h1>\n          Esta aplicação é melhor visualizada em dispositivos com resolução\n          maior que 1024px\n        </h1>\n      </MessageWidthContainer>\n    );\n  }\n\n  return (\n    <Container>\n      <Header>\n        <div>\n          <Link to=\"/\">\n            <Logo width=\"240\" />\n          </Link>\n          <h1>\n            OBSERVATÓRIO DOS SISTEMAS NACIONAIS DE PROTEÇÃO SOCIOAMBIENTAL DA\n            REGIÃO AMAZÔNICA\n          </h1>\n\n          <p>BOLÍVIA | BRASIL | COLÔMBIA | EQUADOR | PERU</p>\n        </div>\n      </Header>\n\n      <Content>\n        <ContainerParagraph>\n          <Title>Conheça o Observatório</Title>\n\n          <p>\n            O Observatório dos Sistemas Nacionais de Proteção Socioambiental da\n            Região Amazônica tem como objetivo monitorar e analisar o\n            desenvolvimento dos mecanismos de proteção socioambiental na região\n            amazônica. O Observatório é um componente do projeto “Fortalecimento\n            das salvaguardas das novas instituições financeiras” e começou a ser\n            desenvolvido em 2017 com apoio da Fundação Mott. Sua construção\n            contou com a colaboração de cinco instituições: Amazon Watch,\n            CooperAcción, Instituto Latinoamericano para una Sociedad y un\n            Derecho Alternativos (ILSA), Centro de Documentación e Información\n            Bolivia (CEDIB) e o Institute for Advanced Sustainability Studies\n            (IASS).\n          </p>\n\n          <p>\n            Sistemas nacionais de proteção socioambiental são fundamentais para\n            a avaliação, prevenção, mitigação e eventual compensação de impactos\n            socioambientais. Para tanto, compreendem regras, procedimentos,\n            instituições e mecanismos de participação e controle públicos. Tais\n            sistemas encontram-se sobre permanente pressão uma vez que seu\n            enfraquecimento ou flexibilização podem implicar na diminuição dos\n            riscos e na ampliação das margens de retorno de investimentos\n            domésticos e externos.\n          </p>\n\n          <p>\n            Do ponto de vista do financiamento do desenvolvimento, as\n            Instituições Financeiras Internacionais têm adotado abordagens\n            baseadas no uso de sistemas nacionais. Essas abordagens supõem que\n            os sistemas nacionais estariam alinhados a suas próprias\n            salvaguardas e a padrões internacionais de proteção socioambiental.\n            Os sistemas nacionais tornam-se, assim, mecanismos centrais tanto\n            para a promoção e garantia de direitos individuais e coletivos,\n            quanto para a realização de objetivos de desenvolvimento\n            internacionalmente acordados. De fato, o alinhamento dos sistemas\n            nacionais de proteção socioambiental aos lineamentos estabelecidos\n            na Agenda 2030 ou nas convenções e acordos do clima e da\n            biodiversidade é condição para a implementação desses instrumentos\n            internacionais e realização de seus objetivos.\n          </p>\n\n          <p>\n            O Observatório dos Sistemas Nacionais de Proteção Socioambiental da\n            região amazônica pretende examinar as transformações institucionais\n            em curso em cinco países amazônicos: Bolívia, Brasil, Colômbia,\n            Equador e Peru.\n          </p>\n        </ContainerParagraph>\n\n        <ContainerCards>\n          <Line />\n          <Paragraph>\n            O Observatório documenta e avalia a dinâmica dos sistemas nacionais\n            no que concerne a três categorias e doze subcategorias, a saber:\n          </Paragraph>\n\n          <ContentCards>\n            <Card>\n              <ContainerIcon>\n                <Hammer width=\"35\" />\n              </ContainerIcon>\n              <Title>Regulação</Title>\n\n              <div>\n                <p>Escopo de proteção</p>\n                <p>Mecanismos de implementação</p>\n                <p>Procedimentos para Licenciamento Ambiental</p>\n                <p>Estudos de Impacto Ambiental</p>\n                <p>Convenção 169</p>\n              </div>\n            </Card>\n\n            <Card>\n              <ContainerIcon>\n                <Building width=\"30\" />\n              </ContainerIcon>\n              <Title>Instituições</Title>\n\n              <div>\n                <p>Sistema Nacional</p>\n                <p>Comissão Nacional</p>\n                <p>Autoridade Responsável pela Política Pública</p>\n                <p>Autoridade para o Licenciamento</p>\n              </div>\n            </Card>\n\n            <Card>\n              <ContainerIcon>\n                <Hands width=\"30\" />\n              </ContainerIcon>\n              <Title>Participação Pública</Title>\n\n              <div>\n                <p>Consulta Prévia Livre e Informada</p>\n                <p>Audiência Pública</p>\n                <p>Conselho</p>\n              </div>\n            </Card>\n          </ContentCards>\n        </ContainerCards>\n\n        <Footer>\n          <Line />\n          <Paragraph>\n            Nessa fase serão apontados os principais marcos legais que incidem\n            sobre essas categorias permitindo identificar movimentos de\n            fortalecimento ou enfraquecimento dos padrões de proteção\n            socioambiental.\n          </Paragraph>\n          <ContainerDimentions>\n            <h1>O monitoramento considera nove dimensões, a saber:</h1>\n\n            <Dimentions>Licenciamento</Dimentions>\n            <Dimentions>Uso da Terra</Dimentions>\n            <Dimentions>Povos indígenas e comunidades tradicionais</Dimentions>\n            <Dimentions>Deslocamento forçado</Dimentions>\n            <Dimentions>Patrimônio cultural</Dimentions>\n            <Dimentions>Água</Dimentions>\n            <Dimentions>Floresta</Dimentions>\n            <Dimentions>Agrotóxicos</Dimentions>\n            <Dimentions>Espaços protegidos</Dimentions>\n          </ContainerDimentions>\n\n          <Link to=\"/\">\n            <ContainerBackPage>\n              <IoCaretBackSharp /> Voltar\n            </ContainerBackPage>\n          </Link>\n        </Footer>\n      </Content>\n    </Container>\n  );\n};\n\nexport { SaibaMais };\n","import { Route, BrowserRouter } from 'react-router-dom';\n\nimport { Home } from '../pages/Home';\nimport { SaibaMais } from '../pages/SaibaMais';\n\nconst devUrl = 'https://grminternet.com.br/hmg/panamazonia';\nconst publicUrl = process.env.PUBLIC_URL;\nconst env = process.env.NODE_ENV;\n\nconst basename =\n  publicUrl === devUrl || env === 'development'\n    ? '/hmg/panamazonia/'\n    : '/observamazonia/';\n\nconst Routes = () => (\n  <BrowserRouter basename={basename}>\n    <Route component={Home} path=\"/\" exact />\n    <Route component={SaibaMais} path=\"/saiba-mais\" />\n  </BrowserRouter>\n);\n\nexport { Routes };\n","import { ThemeProvider } from 'styled-components';\nimport GlobalStyles from './styles/global';\nimport { Routes } from './routes';\nimport theme from './styles/theme';\nimport { CustomContextHooks } from './hooks';\n\nfunction App() {\n  return (\n    <ThemeProvider theme={theme}>\n      <CustomContextHooks>\n        <div className=\"App\">\n          <GlobalStyles />\n          <Routes />\n        </div>\n      </CustomContextHooks>\n    </ThemeProvider>\n  );\n}\n\nexport default App;\n","import { ReportHandler } from 'web-vitals';\n\nconst reportWebVitals = (onPerfEntry?: ReportHandler) => {\n  if (onPerfEntry && onPerfEntry instanceof Function) {\n    import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => {\n      getCLS(onPerfEntry);\n      getFID(onPerfEntry);\n      getFCP(onPerfEntry);\n      getLCP(onPerfEntry);\n      getTTFB(onPerfEntry);\n    });\n  }\n};\n\nexport default reportWebVitals;\n","import React from 'react';\nimport ReactDOM from 'react-dom';\nimport App from './App';\nimport reportWebVitals from './reportWebVitals';\n\nReactDOM.render(\n  <React.StrictMode>\n    <App />\n  </React.StrictMode>,\n  document.getElementById('root')\n);\n\n// If you want to start measuring performance in your app, pass a function\n// to log results (for example: reportWebVitals(console.log))\n// or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals\nreportWebVitals();\n"],"sourceRoot":""}