Searching 85 files for "Netcdf"

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Searching 85 files for "netcdf"

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Searching 85 files for "mcont"

/Users/sylvie/git/magics/regression/gallery/coastlines-library.py:
   42  
   43  #Define the simple contouring for z500
   44: contour = mcont( contour_automatic_setting='web' )
   45  
   46  

/Users/sylvie/git/magics/regression/gallery/contour1.py:
   36  
   37  #Define the simple contouring for z500
   38: z500_contour = mcont( legend = "off",
   39                  contour_line_colour = "navy",
   40                  contour_line_thickness =  2,

/Users/sylvie/git/magics/regression/gallery/contour10.py:
   40  
   41  #Defining the contour
   42: contour = mcont(
   43  	contour                        = 'off',
   44  	contour_label                  = 'off',

/Users/sylvie/git/magics/regression/gallery/contour11.py:
   40  
   41  #Defining the contour
   42: contour = mcont(
   43  	contour                        = 'off',
   44  	contour_highlight              = 'off',

/Users/sylvie/git/magics/regression/gallery/contour12.py:
   40  
   41  #Defining the contour
   42: contour = mcont(
   43  	contour                        = 'off',
   44  	contour_highlight              = 'off',

/Users/sylvie/git/magics/regression/gallery/contour13.py:
   40  
   41  #Defining the contour
   42: contour = mcont(
   43  	contour                        = 'off',
   44  	contour_highlight              = 'off',

/Users/sylvie/git/magics/regression/gallery/contour14.py:
   40  
   41  #Defining the contour
   42: contour = mcont(
   43  	contour                        = 'off',
   44  	contour_hilo                   = 'off',

/Users/sylvie/git/magics/regression/gallery/contour15.py:
   40  
   41  #Defining the contour
   42: contour = mcont(
   43  	contour                        = 'off',
   44  	contour_hilo                   = 'off',

/Users/sylvie/git/magics/regression/gallery/contour16.py:
   40  
   41  #Defining the contour
   42: contour = mcont(
   43  	contour                        = 'off',
   44  	contour_highlight              = 'off',

/Users/sylvie/git/magics/regression/gallery/contour17.py:
   40  
   41  #Defining the contour
   42: contour = mcont(
   43  	contour                        = 'off',
   44  	contour_highlight              = 'off',

/Users/sylvie/git/magics/regression/gallery/contour18.py:
   40  
   41  #Defining the contour
   42: contour = mcont(
   43  	contour_highlight              = 'off',
   44  	contour_hilo                   = 'off',

/Users/sylvie/git/magics/regression/gallery/contour2.py:
   36  
   37  #Define the simple contouring for z500
   38: z500_contour = mcont( legend = "off",
   39  				contour_level_selection_type = "interval",
   40  				contour_interval=4.,

/Users/sylvie/git/magics/regression/gallery/contour3.py:
   42  
   43  #Define a contour using a predefined contour level_list
   44: contour = mcont( legend = "off",
   45  				contour_level_selection_type = "level_list",
   46  				contour_level_list=[-20., -10., -5., -2.5, -1, -0.5, 0., 0.5, 1, 2.5, 5, 10, 20],

/Users/sylvie/git/magics/regression/gallery/contour4.py:
   42  
   43  #Define a red contour for the positif values
   44: positif = mcont( legend = "off",
   45  				contour_level_selection_type = "interval",
   46  				contour_interval=5.,
   ..
   54  
   55  #Define a blue contour for the negative values
   56: negatif = mcont( legend = "off",
   57  				contour_level_selection_type = "interval",
   58  				contour_interval=5.,
   ..
   68  
   69  #Define a blue contour for the negative values
   70: zero = mcont( legend = "off",
   71  				contour_min_level=-1.,
   72  				contour_max_level=1.,

/Users/sylvie/git/magics/regression/gallery/contour5.py:
   44  
   45  #Define a contour using a predefined contour level_list
   46: contour = mcont( legend = "on",
   47  				contour_level_selection_type = "level_list",
   48  				contour_level_list=[-20., -10., -5., -2.5, -1, -0.5, 0., 0.5, 1, 2.5, 5, 10, 20, 50],

/Users/sylvie/git/magics/regression/gallery/contour6.py:
   35  
   36  # Define a contour 
   37: list = mcont(contour_highlight='off',
   38  			contour_level_selection_type='interval',
   39  			contour_interval=1.,

/Users/sylvie/git/magics/regression/gallery/contour7.py:
   28  
   29  # Define a contour 
   30: calculate = mcont(contour_highlight='off',
   31              contour_level_selection_type='interval',
   32              contour_interval=1.,

/Users/sylvie/git/magics/regression/gallery/contour8.py:
   38  
   39  # Define a contour 
   40: ecchart = mcont(contour_automatic_setting='ecchart',)
   41  
   42  

/Users/sylvie/git/magics/regression/gallery/contour9.py:
   40  
   41  #Defining the contour
   42: contour = mcont(
   43  	contour                        = 'off',
   44  	contour_highlight_frequency    = 100,

/Users/sylvie/git/magics/regression/gallery/gradients.py:
   40  
   41  # Define a contour
   42: list = mcont(contour_highlight='off',
   43              contour='off',
   44              contour_label='off',

/Users/sylvie/git/magics/regression/gallery/gradients2.py:
   40  
   41  # Define a contour
   42: list = mcont(contour_highlight='off',
   43              contour='off',
   44              contour_label='off',

/Users/sylvie/git/magics/regression/gallery/handling_missing1.py:
   56  
   57  #Define the simple contouring for z500
   58: contour = mcont(  legend               = "on",
   59            contour                      = "off",
   60            contour_shade                = "on",

/Users/sylvie/git/magics/regression/gallery/handling_missing2.py:
   56  
   57  #Define the simple contouring for z500
   58: contour = mcont(  legend               = "on",
   59            contour                      = "off",
   60            contour_shade                = "on",

/Users/sylvie/git/magics/regression/gallery/handling_missing3.py:
   56  
   57  #Define the simple contouring for z500
   58: contour = mcont(  legend               = "on",
   59            contour                      = "off",
   60            contour_shade                = "on",

/Users/sylvie/git/magics/regression/gallery/handling_missing4.py:
   56  
   57  #Define the simple contouring for z500
   58: contour = mcont(  legend               = "on",
   59            contour                      = "off",
   60            contour_shade                = "on",

/Users/sylvie/git/magics/regression/gallery/legend1.py:
   38  
   39  #Define the simple contouring for z500
   40: z500_contour = mcont(legend= "off",
   41                       contour_level_selection_type= "interval",
   42                       contour_line_colour= "black",
   ..
   56  
   57  #Define the shading for t850
   58: t850_contour = mcont(legend="on",
   59  		     contour_shade= "on",
   60  		     contour_hilo= "off",

/Users/sylvie/git/magics/regression/gallery/legend2.py:
   39  
   40  #Define the shading for t850
   41: t850_contour = mcont(legend="on",
   42  		     contour_shade= "on",
   43  		     contour_hilo= "off",

/Users/sylvie/git/magics/regression/gallery/legend3.py:
   38  
   39  #Define the simple contouring for z500
   40: z500_contour = mcont(legend= "off",
   41                       contour_level_selection_type= "interval",
   42                       contour_line_colour= "black",
   ..
   56  
   57  #Define the shading for t850
   58: t850_contour = mcont(legend="on",
   59  		     contour_shade= "on",
   60  		     contour_hilo= "off",

/Users/sylvie/git/magics/regression/gallery/legend4.py:
   38  
   39  #Define the simple contouring for z500
   40: z500_contour = mcont(legend= "off",
   41                       contour_level_selection_type= "interval",
   42                       contour_line_colour= "black",
   ..
   56  
   57  #Define the shading for t850
   58: t850_contour = mcont(legend="on",
   59  		     contour_shade= "on",
   60  		     contour_hilo= "off",

/Users/sylvie/git/magics/regression/gallery/palette.py:
   40  
   41  #Defining the contour
   42: contour = mcont(
   43  	contour                        = 'off',
   44  	contour_highlight_frequency    = 100,

/Users/sylvie/git/magics/regression/gallery/palette1.py:
   33  
   34  #Defining the contour
   35: contour = mcont(
   36  	contour = 'off',
   37  	contour_hilo = 'off',

/Users/sylvie/git/magics/regression/gallery/palette2.py:
   33  
   34  #Defining the contour
   35: contour = mcont(
   36  	contour = 'off',
   37  	#contour_hilo = 'off',

/Users/sylvie/git/magics/regression/gallery/wind1.py:
   54  
   55  #Define the simple contouring for msl
   56: msl_contour = mcont(
   57  		legend= 'off', 
   58  		contour_level_selection_type= 'interval',
   ..
   75  
   76  #Define the shading for the wind speed
   77: speed200_contour = mcont(
   78      legend= 'on',
   79      contour_level_selection_type= 'level_list', 

/Users/sylvie/git/magics/regression/gallery/wind2.py:
   47  
   48  #Define the shading for the wind speed
   49: speed200_contour = mcont(
   50      legend= 'on',
   51      contour_level_selection_type= 'level_list', 

/Users/sylvie/git/magics/regression/gallery/wind4.py:
   63  
   64  #vorticity contour
   65: vo700_contour = mcont({
   66                      "legend":"on", 
   67                      "contour": "off",

41 matches across 35 files


Searching 85 files for "mnet"

0 matches

Searching 434 files for "mnet"

/Users/sylvie/git/magics/regression/efas/efas_plot.py:
   22           "subpage_lower_left_latitude" : 30.}
   23  
   24: data = mnetcdf(netcdf_type = "geomatrix",
   25    netcdf_filename = "efas.nc",
   26    netcdf_value_variable = "accumulation",

/Users/sylvie/git/magics/regression/graph/tephi.py:
   83                  )    
   84  
   85: wind_nc =  mnetcdf( netcdf_type = "vector",
   86          netcdf_filename = "thermoBufr.nc",
   87          netcdf_x_component_variable = "u",

/Users/sylvie/git/magics/regression/graph/tephi_mv.py:
   26  # Curve
   27  
   28: tempe = mnetcdf(netcdf_type = "xypoint",
   29                            netcdf_x_variable        =        "t",
   30                            netcdf_y_variable        =        "pres",
   ..
   44  
   45  
   46: td = mnetcdf(netcdf_type = "xypoint",
   47                            netcdf_x_variable        =        "td",
   48                            netcdf_y_variable        =        "pres",
   ..
   61                  )
   62  
   63: wind = mnetcdf(
   64                                  netcdf_type            = "vector",
   65                                  netcdf_x_position_variable  = "xwind",

/Users/sylvie/git/magics/regression/notebooks/test_coastlines.ipynb:
  209      {
  210       "data": {
  211:       "image/png": 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Z6cmFxWVUXTwxJcfZzpSqsyGEOqcXzSZQq6Sseu/xGz8vn925w/WE6ttXz99zNPTO4yeLPwhgd+FuICN9rQVTB956lHwnPIXHYdlbGzfbYWA/m2MXdk//aB2D8dJVkpKS7O3bO/b2XzZ+/PhNmza5ubkp5eohISFXrlz55ptvhMJO3rFlb2+flZV15MiRmTNntmd/dQ3hzE9/avh7fnbqqct/Thzh3qtmBpuys6xavyyh8WFGDt/GorpDZ9j8x7lFH4zteiQ8LvuLBaNz8kvX/3rK1tJw9qRB3ViLlUGDf09Op5PGBnXvGNRNGpW7ZK3LzrVRzS7LZrPmTPHVEDSvPdE5N+8ntH/MHiHUfd7OESyRWLp627HAxdNptM5/gRIE8cFM3xnjB3678eCj6NT2H3ju6qOgmzFNJ3F4XM6oIc7mZibJmS2soKfTaLZmGvk56c22nzx5ctKkSZ0L/j+Fw+GIRCKZrEuzZrcuHzy7d83xP5bnZaVeObnr1J4190NPn/j7xyO/Lw+/cynqYbBELGp2SMPAVXl5+ebNmzudXTUYNWpUUVFRWFhYRw/UN7YcMW3pmeDorly9JyUmqzrZtla67GKI/rINzss2OGfm8iqrmXfDn9j2MdTVbnl+rROM9LU2fDPTxEB7ydp/YhIzqDrtS0gSWhpVZDEVcyZn7j/VwtiShakem01NU51LoZFjhrV3khoh1H166W+9XUGS5KqtR5d/NonPo+A2aTMj4fbV8/eduBl0I+rrj8ap8Nuu32hppptTrXH4/IN3AvpxOM+/NMsrqrlqOgq5vKa2XoXffCkJi8VMTXxobGbduEWhUIhEIhUVla6/hP8Cf3//4ODg0aNHd+5wkiTLC5ImjnCTKxSX75wHSdkkX+eS8lJdloqmhn5ZeTpNBif+ujr9441M5vN/0HPnzt27d2/p0qWvS61Ki/NSEx5VlBYAkKL6WgaDyWAwgKADgJaeiYWNu6a2HgCUlxax2BwuT8XdXn9D4OLsmdOGjJjE5vLTn0QYWzgamFi2Gby6po653cDM3CxTQyX0fWoPsYRWUMwxNax7mqZqbNDG7XLXbun+EhgtEtO377aqrpXeenBq3Ihv1v9KjBhU2M+1jKohpyH97X08bfeduHny8oMvF4wRarWxFL1jIlPAzarFZ7zcyk5fMVQoCBqtWyZ20zILLUx0u/KLJUKIKm9hgrV996XpY72N9Ftu09YJBEEsmD6soLhizY4Tg/rZtb4WRCKRxqUUyhUFNII4GRyvrcag0aC2Xs7i6/hP+UQiEQUf+3nCiJcms+QKRV29uLbmpeW3N2/eHDp0KFUv4a03ePDglStXdijBenjjdEFumtfQKXw1DQ6HJyHZN+8nmBkJCwvytQQcGp2mo62how0AoK6mAgCRSblymZTJZOXk5Pz800ZTfdXJY7yfJd4rUde2cxnY7OSxj29mxV/2dLZUNVDhcTkAL5IwsURaUpqZEBZZWlEvUTBU2FIum10nkhAE7cD2T1dvO2GiIaEz6BYmwogbj6vdx9k4tb1a2c171KX9gb02wVq5xUGgJkt5xtdUl276vo2KvnOnZB46YzJ7ctb3nz9Zs/3EX5tGW5s/lSuIoBt6iwJd50zJ7OtMTd8FOp32/ozhNbWi3UdDAOCTOSO7shLgJUXl8PpGq4O9Su5FaPl4llBzrZftO3Hju09x2BuhXuFtS7DOXHlkqKfZ17kP5WfWE6pvXjHnys3or9f98+V7Y5qVSE5Lzz956ZaevrGqho5EThvoYmRmonM/Irm4UkojgEYoOHw1BpPFYLIYPB2pTN60++Gpy4952n0G+I1vesKQkJC1a9dS/ireVgRBcLnc6upqVdV2LWQRi+sfhp11tDXLSovLSo3i8tUt7DxVREkEjRBwJBnZZRKJPavJj9u8ghJ9C08Gk71z587q6upvln199ehP5qqFJAlXQ4OtHb0a+nNXV5WHXd4nr6/QVGME+Hq2uMSHzWIa6gsN9Vse91q/bGbg9uPbV82n02ljh2vdj7hx/Vn8kDFzG0fOAEAmlRQX5eobmjduYTCYfC3zktIKba3WKm/1vLvhWqcuG431yx/uXdTOQ+ytqkLu6gDA7UdJNn0M7K1UAEgGkBP98yaMzFsU6OpqX8FgUDb8o8LnLHo/ICU9f+2OkwM8rMf6UlFFLP4ZDH5t7Tov17Kj5427I8Eqq6hR4XMoGblHCHXdW7UGKyohPT276J1x3t13iVFDXdcvm3n8wv1m9yL1Mddf8vEUNptRWVbk792nj5kenUbz8bSd5Oc0wddpwgiPyuLnpURVNYR1dS9mSeQKRdKTJ7a64rBL+xo31tfXc7lcbI/TIdOmTTt9+nR79kxJeBR++5KP/5zM/FpTKxc2k5CJyrV0jCUyhamhcEqAT3VFaW3dixVXxaUVtx6nl9czly1bNmLEiO+//x5IuYudeXRSbujjHEtXvzvBJ/7a/PnVM3uuHP7Rr6/uBD+nQf3sOreAWlNd5dO5/j/uet7/Z4CHlYW2+Nye78PvXGjcJz0lbv/O78WiOgDIy0q9fm538NndXsOmBN15lldQ2omLdgeShB17rB7HaG5bFdP+7AoAwmM1zI1rq2rqT11+MGP8S0ODBAEa6hI6nfrJNStz/Q3fzOSwmYvX7EtI7lrd2pJKUOXD69cSqKlKq2q65Tfbv45cnzd1aHecGSHUCW9PgpVfVH7g1K3FHwR094W4HNayheOnjR2wauuxE5fuN1avYTIZ44Y5MWjyc6Hx+888OnstKq/g+X3XmbmFOsa2DX8vK8xUU31xJ79UIpv3zigel2Nk4dS48ezZs+PHvzSghdpkbW395Em7ymo8ib5ppVVekHzD3U5YUVoMpMJMXzUvOyWvuAoAaDRiqI9HSkY+AMQkZpy+FnP1cfnDZJFIJFm/NlB862LIrhX3ru4zM9FxtDHksaSVORHM+tTRQ5wSIm/aWehwurxU2baPYT9Xyz1HQxseWpjoTg3on5/yoKry+cfJyt7j25+OsDm8tCdRkTf+HmjPNdeq3bP1K30tVnlVx3ond59/Tpp5uZYtej+lQ0c9jNK89VA4ZXTu+l9Pvto5FABkMqKqprsa/Pn5OG9aMefGvYR1v5ysrO7sO5mRD8at3fHAYirqRdT/7iQSS+vqxXrC3jWEidB/2VuSYNWLJOt/PbV+2YxuvO/6ZaaGws0r5uhqCxYF7mu8x5DP586ZPGjW2L4u1toVldUhD9LuRTy5eCPhTkSGY9/hDfvQFKKmQXI4LDNj3ZgnOU59X7SwjYyMdHZ27pkX8jZpZ9ucmsoSbQ3BmOHu9WJSU0cfSIWLvdn9kFNWpjoNO/j0tbGxMCBJ8lF02unLd8JuXnMwYeYkXFm7eApNT+wbHvnOaDehlrqBruaEER6jh7p497Uz0teyMDWsqqOmOO3IwS4yuTz0XnzjlhGDHG4H7W98eD/k5Lk93xc+uRwwzI3LYVuaGX42b4yfj6PDK0VAlCUlXWWARweG06pqmHFPBIfPmqz4IunC9YeDvex1Wrpz8OuPUtbusNt/ylQq65bvLiaD/vn8UZ/NG/XLnsu7/rnS4R479WK4cB+GuLa+F4etyGqpIFZX7D8V9u6EQdSeEyHUFW9DgkWS5MotR7//fDKP29OLDwZ72W9fPT8lPf+bjQdSMwqkMvnVsNjTwXH3ozI0hIaDRs0x7ztz7NzVsz7brK4hBACSVNCI5tUEFHKFhORzec9vGMT2OJ3WetuclITHj8POPb5zSWjilJSaDQASqYwgaA0FpBbO9rcwfd4jmVYv5qTl7dwXlFNQsn3lnL9++lgooCvkkoX93JzS8kEig5IWCg24O5h6Urf47+NZI27eT0hJz294yGGzFJKaxmcrygpHD3Xy9rBpTNZ7VR0ssYRWV9+xQZoVmxySn6msXxafX1QelZD+urVQGgLJ1pWxbg4Vi9e4UJ6jNNJUV1m1aOrwgU4rNh259TCxvYdV1sKPB+GLydBWxfmlHz/dd8Ksi0E2JZcr0rMKbfq03foQIdRj3oYEa9P/nZszebChnqZSrk6jEbMmDVq3dEbQjagFX/+WU0bTUmP1dTIW19fGR1wPv3Uu6sHVxp3lcjmd9vw9J0nyxIXbAJCYkm3fd0TjPtgep9NaaZsjqq97dONEYV5a7P1LKTG31VQ4AKAvVEuMutvwd/6/tTNkMvnfn21ftePUmCdZa+zNhUXlkJw9YbDLog/GmdubQVoeLJ4OLU3EmBgJqc1yVn01dee+oIqqfzsVki9Sc+M+ztl5PdX1peMCt9l//VHHev+p8GRTxuSq8KXb/rrw7ScTW9/Zybby5+VxfxyyKCjmXLiuX909S5rsLA1/Wj6rsrruq9V707PbsYzsSAh8ORVaLNlVWQuhkSCTNzxisxTUtp8+cu7OFOyNg1Av88YnWKcuP7CzNHKxN1NuGGwW84sFo3cEvvcsOeZxTIqRgXD6aOexA43GDTJhVCdcOLRNJpMCAIPBrK4nG3qbhMc+E0tJAEjLKbe0e1EYENvjdEXfvn0jI5v36i7Kzzq9Z5VjH00ak5+Xm0cwWHweFwD6mBkU56VWVj9fzy6XKw6evvXdir/6Whj8/M9yyx8/BkNtyCqE5GzYcADKq8FUF+g00NXomdfCYNDXL5u5ZvsJWcMPZsWLBEtH37SkvL0tontYVi7P2KDeSL+NelfNNNwYuOufq7MnDW7PUDSfJxvmXXT4rImWhmT5z075RW0XqOuccX59f1o+63TQw5//d7a29SngAfZw4gY0pE4X78FPh55vvxcPv5wEmRzO3G7cl8K1DCRJxiRldset0wihruhF0wqdEB6bVlBc8dm8UcoO5DltDdUN386qqKr989D1epHkg5m+hnqaTrYm+sLK8wc3T5q3nCCIgf5zT1/5a5Cn9bWbj6eM8QYAks5rnOhJTEzE9jhdMW7cuE2bNjVtt0yS5L5fvx0xyCkmtZyUFw73cUvPK9XUUAMAGo2or6sUaHKkMvmRc3finmTNrKyZbWcK04YBANAIcLIAJwsAgKFu8Md5MBTC0DaW17zOg8hkLQ0VK/OOTeKoqXC/fG/Myi1Hf/xuFodNF9XXcrh8AJAr5L2nmOSPu2zpNNLVoeJ8sIGVeY2aitTPpwO3DTaQyYjHMal0Os3Vwaydh/j5FDVcyNW+YuNvtsMHFnfodsX243JYX380LregbN0vJ13sTWeMH9jyWk8XS2AyYNUeWDUfIpKh4R/o0n2oFcHKubDpCMx/XqdNJKazWZQNYZ29+riLjRoRQt3hDR7ByswtPnHpfu/Jrhqpq/G/+WTCog8Cjpy788PmI2mZhdpaAndrjWtn/gQAQ1PrgDmrE3KZDq7e+SU12bmFQoMXRZ9PnTqF7XG64tW2OQRBfLbiD7pwwCD/WeUVlfejnvT5d60VAHg66D1JzV6x6bCzrenmFXPc9bVgwZhma2hyC0oyymtAoYCsQuhr27nA2GzGyQu3Gu85bT9zY50xw93/PHxdIpWzWM/HadKfRJgZaXcuEmoVl7K5HLmhXn10gvpv66JGDCrMyedad7DbIADU1IqPnLu7cPaItnd9BY8rX704KfiWTieObT9DPc2fls+yMtdfvGbfvYinLe9kbwaTh8CqPTDXH8RSOBYK5dUwfRiERICbVePY5837wgHulBXUuP0oaVA/O6rOhhCiyps6glVTK9r0v3PbVs1TdiCvJVDlLf14fF29eN+Jm5m5xVNG9zfX4p09sHnU1E+5PJXh4+YDQHb6k9TEx95+zxvZYnscSvj7+1+/fn3UqBeZN19FTahvEnzyF3cH0xKxgMUQA0BpefXfx25UVtfOmTzk+erg0ipQ4796wpC7Cc42RsCgg6LzFZjcHCyu3YgoKqnQFXZ4hnFQP7v07KIH0ekB8+gAoFAoclKivK2V09y6mSdpqk62lb4Dnw8d2VtV2X9V1YnzRCXuPLd7cqfvAk5KUXV3aqHRJ+X6OvfxcLI4FfRw6fr9X70XYCs1mOoAACAASURBVGzwSscID2vwsAYAWDQN0nLByx4qaiAiGb59t3GXsAfaG7+Nb35gpwTdiBrV2VFVhFC3eiMTLIWC/GHzkdWLplHW2uJlJy8/sLXQd7RtoSdrR/G47E/n+svlilNBDx5Fpzrbmlw5spHO0XLzDjAyszE2tzU2fzEigu1xKNHQNqcxwZLLZVEPgjPjr48Z6qKtJTgVFH70VtypoIeqKtz33hn+UhfhZ3lg1Xz127VbMSqaJum5Za6lVSCVdyKeunpR2P1E/yGukwMGdnpp86SRfT9bezI+Pt7R0THtSZSDZa8odySTEVfDdD+fn9bF8/x5KMTSdJiWRifvAt6xxyruieD9Gc3bpXcTgiCmjuk/eqjb7/uvKkjFV+8FcNgtfRFpC54veD95E94b89IzmpKMHL65MQWr6ELvxW9eMafr50EIUe6NnCLc+Nvpj2aNaLFMTtfFJGYqaCoZuWUUnpNOp00f673lh7lWFgZh96Ijw+/v3/VDRXnzu8BCQkKGDx9O4XX/mwiC4HA4lZWVErGovLQo6kFwevSlgOEeGuqqZ68+ehiZxOdzf/hiyvLPJuk2+wjZm0Fs81yBRiOMze0JggaO5tCp2+A5bHZ+cfnWP85y2SyDzi6Qvx/17Jff/969e3dJSYmaunZtffNiHz1PLic++8Ft0qg8PaGo7b1f73FMqkQqNdJ3Lyzp5EL1uVMybftUe3ek7FaniSW0+xFaAMDnsZctHD8tYMDKLUfPXn3U2jEiSbM17Z/NS/t9PwVr0q/cjB4xCAvmIdRLvXkJ1j8nb3q69LF/ZaSBKln5FdM/DJQDZSW1RGIJSZLHL94/fz0y8UnGiFFjXb1865jmP/28NTQ0tHFRTs+0x5GIRVIJNcUwe6262ipbM63jx44FHdtx5djWvgNHs4Qe7323d9GavTragk0r5gQumcFrsV8bnwOv3CZWI+HoGJiJ6qvlR0JAvTOztzQa8d47vmZmxo9innXicACoqxfVy7kamsJ169atWbOGoDPEEuUnWI9jNMaNyPdw6lLr5fLK2kNnbn82z3/25KwzVzpZxonJUIjEPfRVxmYpTl42lMufJ0wWJrqbV8wRqPIWBe6NTcps+ZgFY2D/laYbOGz51DE5yzY4//K3lUzW+ZsVQu7GjXx900OEkHK9YVOEdx4/EUtk/i0VSj5w6ubAvrYWTdYvd4hIJMnOKyosraFxtACAr2FQVV2rpsoXS6RdmYgkSfLC9UiJjBRoG42dsbiqolRNXQsAJrwDCoUiODh4+fLlWlpaM2bMuH37dne3x0lJDH8YvE/fwsN33IJuvZASRT8Irq4szk19fDEkfPWqFQ+DkqO//SYz6Y7/MK+qihJvD5s2jmcyQCaHf1txV1XX8gXaAk2dimpJ7oYPTa61OlDRqokj3Tt33x9JkhdD48bOWQEAqqqqS5cu/f67b5cv6NfpSKhSWc3UUpe0vd/rKRRk4Lbja5e+QxCEKl8WEaexZru9lXnN+BF5KvwOZJD1InpFFfP7nx2lMpqDddX8aRldiapNY33zL1zXn+if17hlmLfjkP4Oh8/e3n8q7NtPJgq11F46gM8BXU04fP35HakWBsDneLmVebmVpaSrfPeTk6VZzTvjcjQEHXszr9yM9vNxans/hJCSvEkJ1tY/z6emF/zvx4+abpTJZAwGAwBYLPajhCJ9XQ0upwODT3KF4uqtOCmoclUExhZeNrbGQl0jABg4Ysb5f9YM62/929/nFs4dW1haaWNhyOO2dwpDKpUdPHtXU1OLxlJ1HDDZzuV5/+mG7KoBjUbz9/f39/cvLS09evTowYMHFy5caGZmpqam9pqzdp5CLj9/ePuD29c8vbxdPP0oP3/vweaqXD79B8ExEJO8v/453d/DTpsnmuf/jr2VYVVNO7rLBfSH4zfg3edvUXZ+aVFu4dPYB3RCbuJoDjeiQCqDTlUTZTI6MzYpk8uDQmO8Rszl8Z9/KkxNTR2t9C7fjPmigxUfKKeqIquu7dIXyKb/Ozdv2hCBKg8ADPXqf98QxWQoYpMEu/b3qaxiAoCmumTpx20XLNXRFm9dGdvw9/PBBofOmMyalNWVwFo3zLt4517LU5cNp4zJbdxIoxGzJw8O8PX483Awi8n4bN4oVtPPyawR8CwfnmQCScKhYPjp44bNVuY1W36ITc/m79xrKdQSfzKnvavZSJK8cjNqR+Bb+5sSQm8BemBgYM9fNSIiAsTFHo4mrewjlcp+/ydITYUr1BIAQFVN/eY/Ln36+Vcx0VFGehoNX14kSa7fcdDe2ux8aLyprbeKunZMZLidVXvbsUUlZD6KL+o/6j137zF97PoK9Yz5Ks9/jDGZLEML56fPCkdOej81o1jfeuiN0FsSUbVMJqPTaQSN1liQvXnYMvnVWwlP0ksH+M3q7zvDxslbqNdGPDwez8zMDACGDh164MCBS5culZWVmZmZsVhdbRvcKDMtISM5euF3O537jeSpdGntWm9eif/48eNff9lSU1WpkNT+/MvfoZePKGpyZ070MTPWAYB2jURqCeDiffh3XYuOlqCutra8IHXqOB8aQUBpJVTXgWG310cQS6R1daLI+PTwxOKBAR8aGFs2fZZBSHLSkwpLKpXbGkVLQ3LgtGnj/YMddeF6uCqf4+fzYgkRnUYCgK5Q7ONZ6utT5OtTxGQqduyxjk0SyBWECk/G47Z9k4GGQBJ0U3+Yd/eWufdyK3sco3nionFSipqnS1njCisuh+XjaStQ5f38+1kGg2ZhotskMlWwMgJrY8gtASMh8F78tqYhkA7pX3wtTNeZiOWUFEI7mlKcDw53tjM1N26jMsXDmEyuuqGLC04jIqQEvXcE60FU6uT5y9OTY5JSsq0tDNdsP/7lfH875wHc/iNCz+8Wqkj6u1sRBMHlqt6NK1dV1y3OjHCx1fcZ3a5+ESRJ3g1/KueaTpz/2htwNLT0BvpNBwB9QwsAMPlwdWZaUnFxTtqzorqaYml9JY0UEyDXEPAZdMLcWLuguLKguLq8RjJy6lcaWh2bqTxy5MjUqVMNDQ2/++47AIiOjt6+fXt9fb2dnV1AQICGRldLh5tZOZlZvZ2zCXK5/N69e6GhoWKxuG/fvv6DXMYONjt6Mfz6yV9rauuchwy4G5460b9vB+7/l0ibPurvbv3iwWgv+PEgaAvAXL/1c+Tkl8Q9zRncz47f4mKv1wuPTcsuFHHVhHw1jT7u7wwwsXx1H4+BAUV56WfPntfXUfd0aWGHnsHjyllMhVxO0Okdrl6R/Cw/NilrxReTW9/N06Xc06W8vJIVnSBYtdXBx7Okrp4xfWy2qsprJxC/2ei8dWVMR+PphHlTMwEgKkF99TYHgiADFyc2fsTsrYy2r55/Pjh86fr9C2ePtDR7+dvAWAfS85t11KnIlRZfTFG3zAKJDKJTodXyfgoFeftR0pYf5lL7ihBC1Oq9CZaZkfbVk7ve+/qXC4e3rfll12BvNwVLh8tT4asKxs36Ojn+0ZnrVyWias9BAbnp8eOH2aqpNh8oSs8q1NZUVVVp3hE2r6D0dmRGf99ZppaO7Y+HIGhmlg5mlg7NtleUFYnFomdPI4UmnkOG2LDZbfR5bVFBQUHTBs+urq6urq4AkJSUtGfPnoqKCm1t7dGjR9vYtLWE6D+jsrIyODg4JiaGIAhvb+/vvvuOzWbX1lQd2Bkc9qCeIGUD3EwiogVymeRZYXlsUoaLvXm7zhuVAq6vT1kIAr55F7YdrybUVGUVoKcBc/yhpbm/+OTcihp5ZVVNOxMsuUIR/yTraUaZ28CJfQPaWF9FEMSY6V94+Iz7bOF7Y4cXOlrpeThZdLqCVFeYGtXlFHBNDdsx99pEZXXdb/8EbVvZ3iJ2GgLJMO9id6eK9Cy+QE0aclen6fqnZr799Omm/7P5eXlch0LqNDeHCjeHij8OWeQVcg31XuoONH5E39HD3HYfCdl/Kmzpx+PVGqvXRqXAVy+ajR44bZodXpf9qGbj3iow7g8AEPQQ9l6GBS9Vdmjq2IW7U9r3myRCSIl6b4JlbKAtUFcHgIJa1Y8XBQ4bNqzps9aO/awd+1VVlF49sn6avyeNTq+prVfhv5Tc3Hr0pJ+LmZ3V83JWYrGEzqCHPUiiqZhN+3AD7TVzfB2lrqkDALr6rU13ti4xMdHBoXne1sDOzs7Ozg4ASkpKgoKC9u/fT6PRXF1dhw4dqqX1SoXDt51MJnv8+HFYWFh1dbVAIBg5cmSzrtiZqQnDvKwS00t0dTT6mBmY6KveCX86sK/d8+zq2mOIewYfjAVBC9VEnxNLW27W24hBh29mHj5kwWYp5nvch40HwdMWRnoC/aWP06ghzydlysqrElLytDRU7a1eJNBl5VWV1XX5JTWllVKFXEIQBEnjOXr6T/fvQO1QXQOz/UcvfvPNN/19h/95+OKcyQ487osYcgu4N+8LA3zz1dWkrZyki1T50qrqjt0ColCQK7ccXfXVNEYHF6UJVKWuDhUA0Hr5KDvLKhZToVAQNFrnq8J21Fjf/B932foOLLK1rLazfFFnlcmgfzJnZGl59S97LmkIVD6ZM5JOpwEBTT8tc+T/SOxAtnQQT/Pfd3K0F9yKgbN3YKLPq9eSyxVRCekzJ7TwFEKoV+lFCdatBwkMJqPxPq/MnAJz+4HBwcEEQTTLrhqpqKqTDMGlG9ElFSKxqH7hbL/jF+4O8rQxMdKVyuQcFa345Dw7K9Pqmrq0jIKUPBGNRh84Yq6ekUUPvqy2nTp1avHixa3vo62tPWfOHABQKBQxMTH79+8vLS1lMBiurq4+Pj7a2r2ia0p3kEql4eHh9+7dq6iooNPpnp6en332maqq6qt7iurrUhIe1JdnVdeTA9zMmUzGGN9+2/66bG2mDwBQXAFPsuCDsbDtOMzyA+sm453VdbDlGKjxgMeGejE4tv3x+HjWsxWbHGGaPqyaB4+fwPd/wk8fN6t1RJLk0XO3n6RkTp69+NmzqIKieD2halpWmYxkqOv2kUk5bLb6uLmzu/Lm8Hi8FStWfP/tkkFO7t9scJ8+LkcipWXl8lLSVXSF4gHupX8esvjmk9c0daFCnYjB5XSs+Or6X099PGuEtmYL/4KUqKhiisT0nsyuAMBQr37bqpiEZLU/DppvWxXb7OpaGqorv5oaGf/s63X/TA0Y4CNQgao6iEqBpAyorIX+Dqyhrs2XWw52ga3HWrzWvhM3Z08a3F2vBCFEnV6UYJkYaJ26EmFtridQU2Ey6BVVdRU06YMHkStXrnzdITQ6ffqHgY9vXai4f9ZhQMDFW8nl1bIHsTnxGSIFQfeb8EFZUd6lu/d4KhrGffymjXZ/3XmUqKPtcWg0mpubm5ubGwDI5fKYmJjDhw+XlpaSJGlgYODp6ens7MxkUlzgvrCwUCKRCIVCDocjkUiqqqpUVFQeP37s5eXVHd2pMzMzw8PDExISZDIZi8Vyc3P74IMPBILWBpbiI289CjnM4fBqxCASifOLyh1tjJzszOdPH1ZeVQMAIJZC3DMQ8GHVPPjrIsSnw+R/f0pdewxjB4CnLQBAfml7lhgDgLlxbVYuz8SwDjxtIa8EUnJeStoACILw9rCa4N/vys3LQjN3I/MRYnH9IDfThiFPqujr67vY6FdUJ2xZaXkvQovDVgzzLn7vnYyGZw+fNZFIaSwmZX2Fm3mWyZ8+Nrv9+x84fauvs4WDdXtvQ+mEi9f1G19+T2IxFW4OFQw6ue0vqxbvfHR3tHBzMD96/u53t2M/j0kzmugDc/xBIoPX5ZotTfnWiyTp2YXvz8ByxAi9AXpRgmWor82gw/GLD9XUhap8Zq2YuB9/ZceOHW0eqKahbeU6fKBfCwtmtXSMrByVXzGoFV25KY9Op7u7u7u7P08c8/LyHj16dPnyZYlEQqPRhEKhk5OTo6Nj1ycTg4KCbty4sWzZslu3btFotL///tvMzOzkyZPFxcVxcXFdTLAkEsmTJ08SEhKSk5MbmjSbmpr27dt3woQJDQU42iP9aayjrWkfU50jZ+4MH+gkkTwfVhnsZffDpiOjy6vh78swzhsAgE6DhePh2mPYegxoNBBJwFT3eXYFAPrtfa+0NcWlFSyThuVHTAa01MVZXaCaV1Cir6Nuo1cXHXFKLJUmRQoc3IeqqGkYtLR6vXP69feJfxx07trtd8Z5N3tq5oSsc9cMpgXkUHWtpiRSmkRKY7Pam73dfpRUWyeaM7l7R18ycvjjR+Z36yVa4WRbmZ7N37DT7oOZ6brazQvcEwQxc4LPhJGee46GVsanL/KyV2llJK+lMbjf91/96N3O9MNGCPW8XpRgMZmMD9/1DbqbNWXB91KpdPHixRs2bGhPZXMbpwE2TgN6IMLuEBoaumbNGkpOZWBgMHHixIkTJzY8LCoqiouLO3ToUElJCZ1OVygUampqlpaWFhYWFhYWfP7r1yG9Yu7cuZWVlY6OjhcvXvT39zczM9PU1ExNTQ0PD+9QhHK5PDs7Oz09PS0tLScnhyAIuVzO4XCsra3d3NymT5/e6UL2lUWpvh59pVKZjARLUz0O5/mUC0EQfCa9KiRCbf8KeJgI6/6B0V7Q1xZGeoKDGehpNVs71X65BdwXvVkqa1vsEh0el5aWKzK1sHkcn+0/yAEAMnMKq/PCzpxLsbByksvq5HKFrrGtx8AxTGYHSnKUFudXlhUlRd2QiSrphJzPZXz47sitf154FJ3a7+UV+v3dy879ZDDWNz8nn2tlXtP+S9TV05lMksloLXn69W/L9o8VpWUWBt2I2tik4XE3CfDN37nXcsUXSd19odcZPyLP3bH8xEWjtEw+nyebNCqvWbF7Hpf9xYLRuQVlG387bWdlNHvSoBZuUMgsBCNhs20lZdX1IolJ91cJQQhRohclWAq54nxIbMC73wFAYGDg4sWLW58VegvU19dzOJxuao+jo6Pj6+vr6+vbuKWysvLZs2fJyclXr16tqamRy+V0Op0kSTqdrqWlJRQKdXR0NDU1BQKBurp60zf/0qVLDedhs9lhYWE+Pj4NPxK++OKLKVOmNH05lZWVFRUVZWVlpaWlJSUlBQUFIpGIIAiSJBUKBYvFMjY2trCw8Pf3NzIy6vqNb7eCDrl6j1YTaPLVtNKzix7G5AjU+PSXV09PmzT4dFjM/JM34aNx4N8PLtyF4ENgrg/uVpCYAdqC9o9aNVVUytbR/revzmuqj5oY6BJQUluZEZ+Yam+ha2yobWqkKxJLZHKFo612w/hcTl7+pf2BZg5DXPv7t3ih4sLssAt/MWlygkYHOlsBDBZZbaSnPtLLmMl40TDq64/GfbPxoL6OhrHBSy+nv3vZ5v+zEahJ5deJT+aktblkKiuX99s/fTTVpVIpUVvHeH9GemNmJpHSUtJV8os4AFBRySII6GParqSttLz6l78vtf+2wa5Iz+I/iGzXJG/3MdKv/3x+KgBIpLTlPzk62lS+Os5nqKe58dt3H0WnLgrc9+5EHy83q5eePnkTPhzb7JCd+y5/+fpbCxFCvU0vSrAeRCf7jHpPVaC5a9euMWPG9OlDQTPUXu7s2bPd3R6nKYFA0Lh+qymFQlFcXFxSUlJaWpqamlpRUVFRUVFdXU2j0cRisaqq6pIlSxrWdS1evFgmkxEEoVAoli5dCgA3b95cs2ZN454NmZm6urqBgYGLi4tQKORyO1O3oj0kYtHTmFA1TT1XL9/c3JzSEpqJpdsgR36zmulW5vp/HwsFNhMAgEbABB+Y4AOZhRCbBmwmxD2DlBz4fDJodayAPp8rf5qmatOnGgCATmtxitDKXM/KXA8AsnNyQ+/Fzps2HAA4bJZrk3X0RgZCIwPh+eu3HNyHMlkt1HR4EnN3kJuxrk4btdAIgli3dMbS9fs3fT+bx31xngkj8yaMzAOAxBS1VVsdJo/KdXWoOHLO2NSoTl1NWlXNSM1QyS3kkiQQBMjlBI8rX/t1IoctB4B6Ef3QGZMDp035PFldPZ3FJC3Naoz060iSqKphpmaqtKcIVr1Isnrb8R+/fbejtw12TkKy2rgR+Q0vR+lYTMXC2c/2HDX/dG7LJdr7uVr2de6z78SNiyERX8wfraMtAJkcTt8CW5NmY6LPsgo11VW1NLrr5gCEEOWUn2AF345V4TJzSyVaehZG5raXLl1SV1cfOHCgsuPqCZGRkTNnzlR2FECj0XR1dXV1ddveFSA5Odne3r5pkYvVq1d3W2itiXkUIlDh6RtbAsD7S7aWlxY+jbmtkLcwq2Wkxs+urntpZbWpLpj++3prRfDTIfCyg7HN1zC1gkYj5YrGAt7sV7tEN/XpvIDGvysU5KtNCT2dTR7fvuDtOxVe0W/IhOtHNwYMb7vYLIfNXPnV1JVbjm5eMffVS9hbVW1eEft/By2u3dKdOSE7O5/7LIsv1BSPGV7QWMCpWV7C5cg/mJne4rV8PEv6uZb+/D+b7z9/0kpICgW5/KdD3306UVWlu/LsZlZ+lXTtlu5Xga5ermW5BdzKaubsyVlNSyf0MCvzms1/2EQnqDfUmHgVjUa8987wyuq6X/++rBGf/rGdKXOQ84tFgf/6ff/V9cuU/12BEGq/HmpB36KqmrqDZx/08ZisbTNmyvtrh41dkJiYGB8fP2vWLCVG1WOKioqMjIza3q+XOX78uLJDAAB4GvcwNz1OT09HLpWkPYlmc3gGxn1EdTWMlqbqpgf0PxESAZWvqZ/E58C690GgApuOtPPq6dn8sgqWvdW/P7adLODa43Yeez/i6V+Hr6ekFzTdqK+jVZzzIlMR1df9s2NpXmYKAJQW5rKZ7R2N0dUWvD/Dd+ufF163w8LZz1YvTrS2qPYdWDQtIGfogOKm5TE7NOrjaFPVx7T2bnhrE6xrdhx/f4avUacmYTtt5ODCX9dEO9pULpzzbM2ShN1HzHry6q/648eIK2F6fx62UChe+/4KVHkrv5rq72kbmFkQLOeKVNwrWY6kVn+JWl/QcM2XW4+fOo9jOLiItALem/elgdB/k3ISLJIkUzLLHiVLx8/93sLG1cregyCIkpKSvXv3Llu2TCkh9byG9jjKjuKNJJNKLhzbWVFWKpZIL5/47eHV3cFn/kxJeCytLXjecPBpFvx0CLYdg52nYfsJ4cmwIg6rtfqiADDIucVpvhaF3NGZMb5JeQIrI7AzgQ0HoKa+2Z4pz3Kk0pf6urjYmzJY3NinzWuRi+vr5PLne1ZVltBoivNHfgUAfWMLEU3jwvWo1IznhxSVVJwLjrkb3nIXZHsrIydbkyPn7rTztXTF9LHZx86/tubCL39f9vNxdrLtfA3ernCxr1RTkRIElFeyxBJl/iZJEPDdp088Xco27Gw+LtWM1UfjNuhpafNUd+4+de7qo1/+PLlh294aMevclXu//u9A0M3Y/ceDgUl9M3iEUHdQTrPnyMhILV2TabM+ZHOeTxxIJJKVK1euW7eOze5Y77Y317lz5yZNmqTsKDqsNzR7vhtyXMAWW5popmbks5gMYwPtwvw8ccWzgOGutXUiBp1OBIfD+IHg3w+87GCAA3g7lqvxxRKpfusrmTLygctuz2IsZ7vK3w/0Gd60o7CJLjj3ga3HwUQHNJ+fIb+wJC6HFpfw1MZch0aj1dWLsnKL9XQ0JBKpnYWumupLTZy01TlXLp4haQwdfTO+isDFy9/Fy49OpxMEYe04wMplWE5x3b0HEU9TszOLpBPm/lBdDw8f3LUy1SVemQ20NNMLvRcvFkvNXrkTjVpJqWrJGSrDW+qsfOjMbW1NNf8hrt0aQJsi4jTU1WRur5me60n6OqJLoQYVVUwVvqy18vpGQv1qMlbKTk1NLSwsHDduXGVlRb/+A0uKcjIyc2Uy2ZD+9iBubytrbPaMkBIp8xe7RiRJ/vDDD19//XWHage80Vppj4NaJ5VKSrNjDYTqcrlMJielohpDPQ2SwZfLpWeDY9ZvO/g0NQdGekLQw6ZHjfPreyE4oo1Tz/CF9g38MBgtjXWpq8CqeXD8BjzJatjA53FZTIbv5C9PXI4QiSXnr8cVSY1OB8ca6AiMDJrfbK+rozFtjLuk4NEvP55u2NK0dgONRnPxHD55waqJ72+cPP97Gp3u6DHEY/iC+1EpLUb41Xtjrt2KScssbM/L6bR9J0w/mf3s1e0XrofL5PJJo3pFCTqJtFd8ywHApu9j9XVEYQ+EX652zchp6btu/1X4+TDoaUqlUi6Xy+Vyw8LCCBpLT0+PRqN98cUXN27c6PGoEUKd1Cu+erZt2zZlyhRj426s79zbnD59+k0cvuoNmEyWqo61iGsj4dmbGenOnDw8KjHba8j4rLxKOUl8NHecnbUxaAugrLrpURw2UyaXy2StFilg0IHJgFV7QNJ2/z5Ndcm2v166tZ4kydKqavh2FtyOhb2XQa5QU+UL6KX3LvwmUGXX1tRJFISqus7ggI9uR+b9dTgkLaPg1dM+SRtCSFSCz+5WyNtuQVOcn6H5+nnPwCXTt+++WFndsU7M7ZeSrmJnWd2swzEAhN6Lz8wpmTd1aDddt0MszWpLyjpQY6y7+XiWzJ2SueWH2L+PmTV/7sxtMNSGTQuhj/DLD6etWPLepjWLp00apatBS4x9/M6kUVo8yY3Lh0HagXpmCCElUn6Cdfr0aVNTUy8vL2UH0nMa2uP8d4brKOc7boGZlXPm03A+hxZ8O66Pi1/M/YsLZ/tOGelsbvLvvYHM5kUBRgxyDr4d28apv5oKTn0gt6TNGBZ/kFJc+tJ09vlrD3b8cRpoBHw4FrwdYdNhIEkvN6txI9zHDHPV0lKfOtJRpT4yLmyPkQ7bw8lMJJE0HFhbxwi9p7PxN9tvf3QSqEm/fK9KyC67E9xyK7qm0pPu2Vm9dskzk0Ffs2T66q3H5C3dWdl1R86Z+A9pPkL2MColIvbZ5/NHdccVO6q2jvHT7zbvjOuWQvZdzFXPPwAAIABJREFUwWIqmndLPH8X5HLw9QA1PkgqoOQuo+Lhs8jTQSd2GbGz7DUyo++eXvT5B88iT0NdlpKiRgh1jJLLNERFRWVkZCxZskS5YfSwGzduKH0Z0xutprrizsVdJnoaqXl1/YdNqaooiY4MH+CkZ6CvDZW18N0fYKEP5c1/0R/Uz+6HzUdHD2teBqw5CwOITQNz/TbDkMpoGdk8M+PnQ0QcrqqNjfXz52xMYOIg2HwUls1ovDePx+WYmeibmbx05qPnjVPSVQZ7lSx6P4XHfT5q5epocS44MinmnqWdR9SDaznJ95hMtpxkegyZomdo/jTuwbOkh6AQmRu0URVJS0N14ZyRP+4688OXU1rfs6NOXTZ0sa8w0H1p+Co2KTPoZlTg4unUXqtzjl80iojT+HjWM2OD7hrD67S6ejpPUQs7T4P037FSN2t45ZO5c2/QT8uf31I9zq+v/xDXPUdD8wrLvlk4ocfKXiCEOk2ZCVZ+fv6BAwe2bt2qxBiUIiQkZN26dcqO4o1UWpwXHx5akJtppK0iYRnP/mxubPiN+oLHfd2dgsLi358xFPZfhXXvg3YLPQAIguBx2ZXVdYKXV5c352ENkclw+QGM6d/KXiVlbIWCIIEAgIyc4sLi8mfZRZYmTRaV25lCnQhOhsG0oa87iVxOBN3Q2/JDrFCreRmt8X5uSSkPQ48H6QsFk/09AIAkyQeRp2Nv1dlYCMcNNm9nHXzbPob9XC33HA2ltkNwRJzGxm/jm25JTMk5ev7uhm96S62m2CTBz8vjlB1Fy2QyQn47AQ6OhtfnScG3Y/0GOT+/KxYAAFhMxidzRuYVlm/766KhnuZ77wx/tdoZQqj36JYpwpqaf3trSCRisZgkyfz8/Lq6uvLy8uLiYrlcDgAymWz9+vXr16/ver+UN0t9fT2fz++m9jhvN4VcfvXEr4qqFENTS40+fkPHzAGAm5cP0RnMYd52paWFpFQGYkmBQl5d0/KgxfSxA85cedT2lT4cC2wmHG++oPj2I+0VmxwDt9uv3OKw/5Tpkg+TzY1rAUCNzw6PTjbSEfh6v3zjwvm7r1aMlMlkDT2tAaC4jO3pUv5qdgUABEHYWxv7D3Fxtjdr3DLAwzpguKulmWGH/teMHOwilclC78W3vWv7pGWqGOi+1Mk4JT3/r8PX1y2d0Uv+OxeXsuvqlV9F+XUOfFfn+y7RSnYlkcqu3IwKGO7+6lMGuhqrF09ztDFesnbfo+jU7gwTIdQl1H8HlZWVzZ8///z583/88UdeXp6urq6hoWFkZKSlpWVBQUFtbe3q1atJkgwNDf3ll194vFbHEt5GZ86cGTdunLKjeCM9unO5qjRPQ9h/2Ih3GraEnN9jZqzDZNDVVHifzBtH0GjAZKRkFJ65GKKpqWFpbuZoa+xgbdz4U/9525z28PWALUebbbsYot/ioIimhtpnC5p3jgMAcO4DReVgptfwSK5QXL4RG3brHpfLHTtyoJOdSfxTHdseKTK+cPbIlVuOGutrWbVj6rNNe4+brlr0optyakbBrn+ubPlhLr2znbMpR6eTJAlRCeq9oUBDUyQJv+821Rbf6jfdtJXdftlz+eNZI1vZob+7tZeb1amgh8cv3vtywRjsAI1QL0R9grV9+3Z7e/uG8So/Pz8jIyNdXd2nT58WFhYyGAwWi0UQRFVVlYuLi6GhIeVX7/3i4uLeffddZUfx5iFJ8uT+HX5jpo2asrBxY3VJto+HZcPfVVV4oCBBQQ7qZ+fp3Ke2vr6gqOJhVEpxacUwb+fGQ4wNtLPzSpt1RG4ZjQCZHJp00GMxO7hafJQX/O8s9LMDAIWCzMkvTnya/v7sCRKZLCkl70KI7fXbjvfOti/h67LAxdOXbTiwatFUdbWu3l1Bp5ONb0VaZuHv+69u+WFuz7QabCcuR04QINRsrX9Rz7txT3j2quG8aRnuBTdBNhte845l5hbT6TRrizZSYYIgpo7pP2aY265/ripIxVfvBXDYzNYPQQj1JOp/4xw9enRNTU1dXR2bzQ4LCzMxMeHxeJ6ennV1dUKhUEdHBwAEAkE7O9+9ZYqKivT09JQdxRtJIq5ns9n+kz9uulEklhw8fTs7/9+6i6fDwMsOADgclpaGwMHG9L0Zvk2zKwB4Z5z3iUv323VJEoD20n+QDhcE53NAKoeHiQAQFBq++8AlgRrfzsrQxc50xvgB65cp1n8bv3iNa25BTyxYptNpqxZNXbX1WBu1KtqhcRowJT1/1z9Xfv5+dq/KrgBg4XKBp0uakX7zEhLKUlHF/Hqdc3Utc0dgtLtjBQg1oFb0up137L706Vz/dp6Zx2UvWzj+3QmD1v968sDpWxTFixCiAPUjWN7e3t7e3gCwePFimUzWsNho2LBhw4YNo/xavY1CoSBJBZ3+2nf16NGj06ZN68mQ3hpMFuez5TubLfHxm/xZyPndZy7dCbkVvfSTKRCfDm2VX9LSUC0urWzXJfU0IaMA/h1IuByq19+trMNxzx4Bf10AR4sAP0+rPkZl5S/1Q7Q0jv343dQde3w2r2i5fkRKekF8Sj4N5PaW+lYWhlKZnNmFVEZdjf/lgjFrfzm59ut3On2SmloGjyMHgKdpeX8eDt7Uy7Kr8JiUPqZ6T1OJnetqAXrFCoRnWfxf/7YMXJKoriaF07cgLRd0NV/XuOl00MORg106OhZlbKC1ftnM0Hvxi9fse3/GcEcb5bQnQgg11b1rJhiM3rvOlHISsWjbyrnn/l5589K+1+2Tn59vYGDQg0G9PWg0moFxn2Ybk2JuD/MwmD3VTyaVKBQkuFpBO0an3J0sIuNbqD/e3LShsPcy5DwfHrsfqTV5dG6H4zbWAT4X2EwAsDbX7+9u2fhMVXXt8Ut3f/k7L+GpWuz/s3feYU1ebx+/n+wBgbD33nsvAUVxC+LAWVdrrVpbV+uq1r1tbau21p+jWi1uxL1AUUEF2XvvPUMW2e8f4UVECAFUUJ/P5eVFnnOec06AJDf3+N5ZXZQ9AkBDU4uuhe+Y2T83SIzOXn2y9/DFmrqmXp+hA2ZGWiP9HI6HRfZ5hWfxal4uDRm5ZScuRO7bMGdQWVcAoKWhcvDoJZGYyGYPCvdVeRX58D9mBzamKtME8O990NeAH2dCNw4qFrv1RVJuz0oi3TDcx27/T3NiE3I3/3qhoYn59gRp+RGfzwcAHo9XXFycnJxcVFTUt+1QUFBkM1iSUj9ehEJB4vP7p3//gcVsUqCp5uUX8poLWMwuUmvR9jjvnMaqAjqdhsMgY0d4YjAIhPhCYRXU9ZDXLFfbHAAg4OH7KXDpMbzKBoDOypDyM304bD8NR6/DjdiOl6Ni0lzsLQ5uMbp2IvbRc42oWI23b7W31E+NuXT15DYrB28WV+TiZKupLrOdohz4eVgTCLjbUYl9u/3JSzUKOT4s4tmedV8Mnqz2dvS0VX/+Ya6ednNc8sDXM96K0j5y2nTP+rS23krVDW9XlXZk/98Ry78c358dcTjsolmBK76acPx85MHjN0Xi11mDYWFhx44d27Vr186dOzkczqlTp/744w8Gg8HhDDqdMBSUT4NB9/740ZGfmfj45omhbkYx987RlSmTxnq72Rs9u3fu7ZlXrlwJCQn58Cf8hGGyOHuPXD4X/ri6/v//Xne1aG8F2B0kIp4vEMqViqSuDCtD4WGCsKKOw74nEAj7ckojLdg4F2YHQn45tPLbL4eM8Qr0taeQSQS8ePmXeeF3dUSizjYBlUpeOHvcpFEOSQ/+4rCayMR384KdO2VoXEp+ek6vNcFbWPjmluQbD+O2/zBj0IownbnCamwSjhgyYFKcqVlKmw7Ybjpgi0Eku9eltxUEFFUBhSTjrviUfCM9DV0tlf4fgK5EXbskZPRQpycvMpjMtpdGRERETU1NRUVFYGBgfX19SEgIBoPJzMxsafkQdawoKJ8hqIHVd5qb6mIeXoq8fsLHw9HIQKu8JFcgJpRWNavSlQTMKqGA33GyWCzm8XgKCgoDddpPj7qacrGINy3Ib9PKWaOHOrZdfZkpzXOXzeihjj23zQEAgMrqxqc+doWb/5000+ji7fjrUel3HqcwWnrZDw6PA0UKGGhCakF3UwJ9a5MzlTteEYpE5ZW1sa+yiQR8gI/tykWTcvPLYl5ld7dCalZpYpq84Z6fl4ceD4usa+jdh+vGfZXKtIdbV00fJHpXb8Nt5Z0I0/xqdi4GOwAnlEjgl2MWL5NUfl6Rtf2HjLEBHdpNnnsAX3el5QEAAEKh6Fz40/nda9L2ARtzvQAfe0XFNrl/f39/KpVKIBCio6PV1dW1tLQQBBGJRHV1dbLXQUFB6RufUY7UO0QoFMQ8uNDc1MisyWRz2BgsFgC+mh7wy9/hVkNdAMDGTDMt4bGz12slG7Q9zjvn0bU/p4937Sh1DRIJiMRA6DlBuMe2OSXltap0xVfpxWKinkPgYjWyswUo+yz7BQB4rZybZ3dOGd37RJkpQ+HUHXiWCgQ8zO+s4t3cgjc3fsNui36RyZGomdmMuHQ7fOoYNwwWs3D26P2HL3g4muHxXbxy6xpbmnkKauV1Bnrqb492AoNBtv8wY92ec7/+PI8ox3cMACLux+cVE+6cGRR9Brvj5IWmIR74uZO7kOh830gksPlX2+CRlW4OXeXJUUkyfjP/OHXnmy9GvVezdenSpUKhEIfDSf8HgP3797+/7VBQUFAPVl9gNNWX5LxsrEgf5m3v62GjqkQFAAIBv3DWKFd7UwBQpSukv3rc8ZbIyMjPoY7yg5Gd9txAm9bZMkgrBDsTeW5vb5vT5eilWy+ep9XGZLJp2q7DgxaoaepCcDDExEhHiSSKkrpxC5Pd5b09sGAsrJoOs0bCn9far8Wn0Df/alNURrUxf8OfVNvAdvOfgMFgxWKJVBqBzxeEjBuSmlVUWFxRUFyRV1BWUVUnkbQlh/l7Wrcyq4rKu3VICISiGw/i2x8qKpB/XDxx68FL8hz8f/89bG5hu9jNFggH75tGWUXtf9eMl83rpX/xHbH/qGVQYDfWlRS+oMvLeUVVAGBt9t51AaV21WdVe4SCMoAM3vfKwYyqunbQnI14Ajm7qFYiQZpbWJU1TQCgrqos/RuUpkClUNr8E9mpsYe3fykUtEoVK7gcFofdRYGPdKiytEAk6lOiz2dGeWFWcWl156sxaTDETs4VZLTNIRApMxZtGT15scuQcW2XcDjYsKF9gptf8LNXOb0982tUFAGLEQqFx8PuX7gRa2JQvHVV5paVmZ1mTRzpVJoQJqh5Nn2ChzThKb+45uqdOGWzcZV8g4pWvdRSKGVpXb2bKLWx8Djs7IneQ71sutu2rr6phiF5mZTXfsVIT31CoOuR03dln/fA39f1ddTmTR3m5tCUnkPr+xN/n9Q2MHYfpY8cWm6gOwAnzCtSoCkK3B27t66mBcA/XXyfxWLJoX/ufLdg7Hs8HAoKykCAGlh9hK6qOemr7d5Bq238F2raTcmpIVy7nyD9nEvOKD5zNdo7sK3rbXZiFJGAtzPXLshMOP/XmidX9988u5fNZFRVdFYKCD+1ozL14rXTez70k/nY4LVyastzPZ3NOg80s0B2I+cOmBtr5xR0LbvAYjY1N73lB/p/0VEOm9lYX01RtyssqZT/zJ3BYnFYrJoKvbKG8Sql68QpCpnk6WxhZ2nQHjmytzKYM2VY8tPLpZnROHa2pbaoNC9Ow9g5NbNEnj11tNToVExeSX3Hiz6ulprqyjcevuryFpFI/NO+MB83yzHDnAAgv7hzF8LBw6Pn5S2t9otnDUxy2PHzxgumFcuaoasOXSlH/H3uwbypw/ojb4aCgjI4QX3FfYeqQJP+T1fV0DM0z0qJCb9/M3CItbIiycDCS8fAjNnShMPhiVheYWmtl7ZRevzdGRM8AODhs/S7V45q0vg5RP1h4+dnpcSoauhpaBsqUklujuaNT1PZTAZVsWthJBQAeHzr9Fh/S7qyYucBSRdKCmw2d/O+k2NGDQsc0lkjo8u2OSw2l8WVKNO7TWO6dnoXh830GjG9tqzY5M2Gcs0trGfxufaWehIJRD3PHu1vo6vVTZM4Lg8QJGS0e01dE7M3ik36Omr1TS0ikYKrvQmCIDYWhtciM+pA7CifAMikUS4CYWcX6dRxXrsOXzXUVXewfuP5sDm8DXv/+3beGGnblvIqslCEaKoNRgOLyeJEx3t5O9zT0pDV4+89UVFN1tXiEgk9dVISd/79LC6vY3NaXe3limujoKB8XKAG1ruhlctuaaoTIdSMnHIiAausanH/6tHygiSEoOznopdXRCfj+ABtb6/GuqqXbr+YuDj4ZlR69J2zREFZ4tN6ClXZypAOAGQivrG+qjg/NebBBV0j6/HTvh3QZzYYYTIaFBXNuxgg4IEv6JRKHH73OQaLa2JjxCIx5k3dpulBPqcvR696s7arsKTGzNpJxu7u/iFV5QUFybedbDrrZWfmVdj7zU6OuVFXV83h8G7cf6WuRp8yzrOLVRpb4EYsjHDVVKfLL20lFAo5XJ6Fsc7lW7Evk/JG+Nik5VYpaZjQ6Jp3o5MDvKyIRILsFTBYDBHbNqeFxQGJhKZIBYD1305at+ecprqyplqbZV9V27Tz0NXNK0LVVdsibqlZSsO8BkvF2csklfxihZDRlZU1JYnpRRKsgpLmLAOdmAE5zOXbeqHjy2XNkEjgSjTYGL15TXLo1O3d62a/17OhoKAMFKiB1WtEIuHN87/rGdvpG1tjsDg1DR0AOP3Hj8EjHDxHWQEAk8U5evbsiCEO/pOG1tQ3h9+NDx3v3VHextRYu6qiBEEQV1s9obDZ2MDcy/m1ueDlYvE84TKTydAxtPAfg7aF7gI8Ho/FYAAgKaPISFedrqwAAJBZDHjc24VaX0wZXuBqefZqtKS1fqi3XUdrRpWuWFv/RtscoUh0KzJuze7/ZOxuZuuR8OTyjKAuzCZnW6Pwe/8On7j41dNwS22kuaVVld5NZ+X9SyCjCE7eakt8JhHB0wZcLWQ/8aqapoN/X/D2cBnuY/csqTynUpSSmk6mlHyx+Gdbl2E3Lh8y1ibL6Q5hsjiHT91ydPU1Umu0tdBHEGTLymk/7DhzYONcMomQnlN68sKjfRu+oJCJ7beoqfBLKga++Qybg9t5yMrZrtnBmvHzL7b1jQpmBvlT5o5JL0Nw2L6KwfaPqhqSjmZXbsiKOsgsgfxyaGLCSPdOKqPHwyJnhfgRuioIRUFB+QTAbtmy5cPvmpCQAACurq4ffms5+f33yPXrw6Oicn799WFgoLWS0uuKegQBIzN7bR0DEon0/YprPt56GET0+CXB0Wc4lm6BV7HG063dfMboW3nj6NbKus4bd16KitMfN20iUc0GiBrAKQMAvkBibW6gpEihK3VWxsJiMIZ6ajGJJZPnrSdTBp1u1uPHjwdcb4LHF2SnPY9NLH4el+znZU8AgH3/AYsLXwdBV4XuKso0VzuT9NyyFynFYqHQQPd1+K+phc3jC7Q12qwusUSSnVeua+KgqNSt3iOCIEUZTyxNumjajcfhrEw00hIeMxprfT1sdbVUuohjtqNBBw9r8LYDbzuwM4a0Qrj0GFRpoNGtQ0uJRvX1sMcTcGHhUWIRz9F7fMjs74V8Zl76S9ch42xchjFbsY8ePcaAkKZIwWFlpfUQCXhdLbXikpJHT+L8fRwwCILHYV3sjHf8cQUA7j5O3rV2FoHwxmf/wePmS+cWDIgRc/C4+Y0HOs0t+AdPtW481F6xMN/TqVFTjTfKv4bRUheToPv0pSsgBGuDp2ZGH7qZekGJQnMLwdX+zfT25xlw9j40s8FcF/ydYIQr6L4RLC4srUlKL5463uu9nu1lSglZWdfR0bHnqSgoKO8aNMm9W5YvH3HmzILvvx9+5syLysrm1asvLVx4pqmJs379NRKFdutuQUp6IxZHwBMUdu5+xOcDVVGpqkbw5dcXly2P+GHtbcCSr9/KvXD5mZGxJQaLE0qIGzffr6prq9OeOMZb9u7+7maXT2x7/8/yI0PA5yW/fGhm5RKXWqJIIXy7YCKVQgIcFhAE5o6G7rXFFRWpQYFu9uaarg5vOHg6tc3BYbGzQvxzU3uMNHVrZODxOF93qynjuv75NjQx/vffg8iYtNz8spSMwsLSGul1Dkg4w51hzUxIzIPHyTI2plLJthYGC2aOMTEyLM6Ow+OJAeMX+I5uCzNZ2ntN/XonouYV/jC7sakHEVETQ83pEzyH+7m1i9pra9CJBPw/lx5vWz29k1D7uXCDQN/antOM3gP7/rL0dG7c8WOGqSF7elDZvg1pWupteWAIAvOnKV78ixrke6imWiIQDYDxd/qy4Yzgss5X78eDjx1MHw62xp0EzwBALJb8cfL28q/Gdb4LBQXlEwI1sLrl4MGHs2YdX7YsbMwY2z177g4damFlpXX0aDSHw09JKT95MsbaWhsA5sw56eJiUFnJ4PGEFRXNixb5AcCVK4kZGZUnT8akpT2VSAy5XL50mrZW9/6MN9FUoykqq/Y87zOjKC/tetihEwdXfzHRJ2iki5oKDQAAQUCDDtWNsu+lKyuOGupCJhE7Xny7bU51fbOm3lv1iR1gs1rIRLmUOd9GRZmmrqaKUTSTqPtiNbxfpJSz2FwAeBqfE34vEfA4mBUIHWQUukNPW238cEcDFdGTu+cIRJKekWX7EIIgVg7eQbNWPY7reR0AGOZjJ5UTEwpFWw5eHOnnEDre++LN120TJRLYetAGg5GMGfaWLsZ7RiKBX/9n4WzX7OPagMFInGyb202rTiAYRTo1foy/vCId74rKGjIBL6YpvClwxeXBt5OAgIftp7v8af5+8tZXM0agwUEUlE8b9BXeLStXBoaEOJ06FfvkSV5RUUNpaSMejzU2VhsxwvrPPx/T6RQFBSIAmJtrvHjRJrhw+3YakYjn84WzZ3seOfJYTU0BQIzHkwA40mmTJxjJufudR4k4skZtVYmG9gBURQ1aqAo0XQOTpsbG1JwKHe0OhX7DXSAmDaYM7cOa0rY57aruBaUNw0Nl6YDnZry0NO5ZKr1LEAQJGeWSW1SV+CycgMfwWlkH/roye8pwFSVqUWkdAAAWAyI5miQCAEAzW1hTn3fn0hEcniDg8xAE0dAxcXAfjicQqYpKGIK81jwANDQxt/12ecXC8cb6GgCw/+j1uOR8DyczAEjLVrI0ZXbhpHlvSCRw/rp+SqYytxU7e1Kph1MPpjMAmBhg/zrDfpmcb2WqrUr/cBW4v58027LwFZQxgICHa0+BwQYiHgh4wCDQyARddTh9F6wNgfS6+CAjt4yAx9lbda6QQEFB+cRADawesLTUPHPmxaJFfhcuvKqvZ23ZMsHDw+iLL04cPjwTABAE2bYteM6ck5WVDAAQiyWNjeyiogYPD8WHD7OWLjW3sxt2+XJN+7TEpAoXHbn2DZ0wJDuvpLQwCzWwOqJraGFs7kiryJTKMr1GgQzsPsoH+HlY/7QvrN3A0lSlxUWH+46a2d18LotBpPfsweLzBRxuq7JSF1aOhbG2hbF2bEK2sS7Nx9n0QXSiro66ksL/u9bkbqIc4G0j3UgoEpFJyhKxpLKmOPzkz96jF+gZWSBCWYLmbDaXSm0LXSVlFO39M85Qb9XzVyV5xbkScau9lfHuI6n6Op7WZsq5hQo7fsyQ80jvhMu39ehKgj3r0+S/xdPJbO7U0kNnR305+cYo/9cpR1W1jXUNLAfr92XN4JOyyJfvgJoyCIQw0Rc6tWqubgRNOnTwd/L4gr/PPfht84L3dB4UFJTBA2pgdc3y5SOkX/j4mPr4mALAiBFWAEChEMrLmywttQIDrQHgf/+bAwAXLiyaOvVvPB67b98UBoOrpETmcgW7d09av379d9/NDgxsyzW+dm0p8JugpttmvZ2oa2RyWmOeMOr8x81550/w48XRa1TG47e8Kao06GXf4nYQBKFSSAwmR0mRAgDOdkYvk/KyUmKtHX26nF9fVeBjYdrjsglphZFP4v29nf29upaosjTR3nf4grOzk5+XPY8vcHP4/7gkBgsiMWDlDd8TCHgC4AGAwWIVltUFjXC4eO3o5C9/xuO6NtQ43NaIh2kqWiaY1oKRfnZhEc9iE5qGeq3VUi+PeYUrq3ISSWiNjZxR/i5llXutTL8fMQRLpXzQ7gIpmUp9MOkWzlBLzSnNLDb3cuHQFNqqHZMySymkHqQr+syLMLa9LQJLQrqdoaUCwUM6Xtj7Z8Sqr4MwctvQKCgoHy+ogSUvFErb23RKSvm+fZM7vkWyWLyvv/al0ykAIK03JJPxHA6HSqViZVZyycbP0w4AHj5NzUh6Yuvs36/TfxLERV9rqC3HYHB+jsadxxAEJH3Pv542wfvqnZcLprU1i/R0Nn/w9B4OizO383h7sljIl2dNb1dLLxeLwyev84WSQN+23KDUjEIH27Ys+1ae0MzUqLa+KcDDTFOjg+dD0gvrqiO3orMqKioePHppbGwUFfEXFd+1m+1pfF7QnPUEAuns4fVbDl70dDI/tM0XoBgAJo2hAHAA2lo01tSH7jny5y+b5gF8UIMA06fUUBaba25O1DaZFhW7NWRUW4UyhyvCYd+LdfjqCvvSWaX9Eb1Y/MHTVAsTbSM5WnGjoKB8AqAGVq8ZP94eADhspkQspioqPcpJzIj4l4YXVr6y19F8/TEZHv50oqchlF3uz15Ckaiiptk7WJbu5eeDAk1FgUYvSHtGIXclj96PAjJzY+2TF6LeuGKk0cBoeHsmh92ClXTdIrojxWV1MQk5/u6WowPcr95+NmKI7akLkRyugM1htxtYzS3s0vKaoZ52tx6ljh/u+Fqg6y29bzkhEzQEQq0503AWJrLi0CKx5NXTGzlpLxJSctYunWRqqNndTE01pfmhw/b/HbFWhpPmXbNhr52fR33P896CyWKLEbW6quwA+9dTzbpVAAAgAElEQVTPCEeg8vi8jtMEAuTwaTMXu+ahfRNNLa+DJiaoKJ4/pfXLrV5YV/WNzMhnaXvWo7KiKCifC2gVYR+5f/nwtbO/vEx8tu7yoRJF8dypQztaVwCQnlPa/zxWBEEQHEnakwfFxtnfxnkogBgAGpuY1bXNbwz3L+yip61aXP76Ezclu8rZa9Tb01LjHzlb6/e4WkNjc2NDY9SLbAsTHbqS4v6/rtY1MPBEggTEVTVtKds25vpD3G3SckoFYuyD2A61Zghk5ZUxmexenV8sRqKfh3y3wFS2dQUAo/xsOXWZBcXlv21ZIMO6kuJoY2RjrhcW8axXh+kz8Sl0fR3u2IC+lCtqa6q5maeF/ddc2yCqqqmPS857+jLTxM6nhSOMuP+qvLIeAOoamB4TlF1sS0orKdfuyZcO2ZHSGjhzF2qb4GkazrXnMHFH9v8dseG7yb3eEQUF5aMFNbD6CJ/TNNRFi9b0Yp+fw46xnZN1auoZ2pry9j+RAYfTSiR1IwX+ucJt5ZdV1v97JYr/pmeiy0aE8jMjeMjVOy9fPybQMG+FdyUSSUXeSz1djR5X09ZSRRCEy+VFv8i0tTQa7utEJhEMzBxJJIVLd15FxaRn5ZXw+YKRQ5119Y0nzVkNEpFILAYAYHJAkZpTWHPq0mP5Dy8UIlt/s146t6CzXsBbiMWS30/crm9i7dswp6NKuwyCAt3qG5nPE3LlP4+Uu4+1ftpnt/QnZznnV9aQD50ymx7U93LFIW4mm75L/eW42/fbbfefGHXo3MgLV2yA4MRrbeULRS0szuzvqF/NzBjqzee2YvsSiLz1Ar6fCiNcdzcs9R/ai5y/42GRIaM8aG8JYqGgoHzCoCHCPmLrFfQq9SkB4TpZ6xGxWIFQhMe9/jw+fz1m2oQepETl4Wl8rqJSzx/nnxUaepbXI19gMDgDvQ7el1Y+9NSGTzad2uZgMF0kMJUWZRnrKste59jZe1QqRV9H7es5Yy5ExMQnZROIpOBAl++/CvrvepymGg2DJRSW1Sdn5NXW1s+dNtrGhJ6b/hxLUFy+4bfl30w3F4hBRzU40KWuoVn2Ru3wBZg5yz3WLs22NGXKnllbz9h1+OqX04d3aurcI98tGPvTvjBNdSUTgx48XlI4XOyGfXaOVoyda9IfxaofDzP+cnoxBiPLAhaLkV2Hrf7ek0gmyatS0SUj/XUMdFOYbK6BjgqCIKnZz/8JH6pOFzvaVK/bQ3J2aF42X+dFoooiVRA8srLXq/MFQCYWllIBYNxwed1s6TmlbC7Pu6c+SCgoKJ8YA2NgMRiM5OTk+fPnEwjvq8DnfWPr7Gfr7MfjcZOf34uLyigrKx3nb2NqrCsdra5t0u6+4YmcVNc20rTtfUdO7/dhPx1SXj4gCctdbXUsjLXfGEjKA8fehWzextXBJDG90MVOmiPVhTXw5OaJGUFdpL13hCcCPF/w9GV6dV2ztak2k9nSKgQGsxUANOiExPQKZ1uj+tqWVYsm/Rf+JCmrfKSP9f3w23RV9ZWLpxsZaMOzNNBSwWAxCRml7KRyLqsRT6TpaZBszHVlyDs5WDNc7HowyO4/SYl+kblr7azuHFd8viAmIYeAxw9xs3x7dMuqaSu3/rNzzUxpraUMwiL0M/No384tMDdmAUCATx0ArN1t7+3SMHlsRXd3nThvtGBacT+tKymWpq9jfyOGKKurRl+5q7pss82QISRdpcia+qCwCIN9P6X2ef1TF402fp8l52Q2h/fXv/f/2Ppln7dDQUH5SBkYA0tJScnR0XH16tXffvutlZVVzzcMVohEsuewEIAQZkvTrbM7DfS18Dhsek6pnWW/sq9eJOVV1jSLMdRJ89H35TbqasqZzXWNxbEBPm+oHjCZHKFIRE/IgYUT+rlFUKDbnj/DXexMWGwunkjqNCoWiRQVKB39lF1ib6FvpKeWmV/J4pMvRERSKRQSifAoNqWipu7W3WhjU6uXiTl21ma3HyUxOQL3YeNPnD8xfoTni8SMlCKt9NzkibxW0FEDAJEEH7pwcyuXTSJTs1JiU0rzORmleCxGIODxeRxXG03D/49U5hQoaqrJ0gDjC4T7/oowN9beuaZbcS8AiH6Z9fDxi+H+XXfHw+OwW1dN23Tg/MGf52O7L3IsqaAUlChs/+ENkYUAn7oAn7oHTzXX7LKvbySODag2MWCz2LjEdGVFqhCDkRSUKJgZsTq383tHOFgZOFhBdW1pdn7ZuXCTmgbjb+cV9Lrnj1gCCEADA7AYDEYi/+3bfr+0aflUGd8xFBSUT5UBCxEqKyuvXr36yJEjjx49WrJkyUAd412hSKN7jZz3+/FdI/ycrt9PXL0oqD+rFVWwQ7/egcP1sR/Lp8e9K39VFyUJgDh1bOcG4VfuviguLv+ipLG1uNrWUh/pqtmznJCIeKFQJBCK7j3NGv/Fxk6jOenx6ko9v16GedsAgFgsOnr6+qolMy7eiAEMoaGu0nNKgK+HrUAgwGIwf56+M2PhT+YiEZvZbGGiY2WmU9PQ4jhi+ss7f0N9M6jaA4CQz2GzWqT1DdaOPh1FuSQSSdTNfxIzkkb7WVPIpLPhBrvWpHd3nuyCij9O3l69KFh2Pvvj2PSswjoVujKCQElZtb6u5ttaTap0xaVzR+/589pP/5+sLRBidh6yUlIUzAguU6AKj/9n0sLCrV/WtdLbSL+akX41QiGSmUfLLVKkKQgWzihqaCbyeJgvpxf3+I3tJ3y+4NGzQiWltfI7n9ooq4WzD4CAg2YWhA4DAIlE3t+xizdjA30dtNR7CCujoKB8kgxkDhYWi/3+++9jY2NXrVq1fv16dfWPWx7GyNzezMLe3tL4yu04BWpn/4ecVFbVx6UWew6fgVpXHSGSFUwcAjJTnp+9/GjZl28YryGjPZRpw9k//pX7d8RlVzMnHzsVOg2DYBAMokxT6O1Go4c6nb4YZes2ikTuHAgzt3W99OzKkC5vews+X0gkEAuKKvg8DgbLnxkyTIWu2G78jR3hkRpzyUxfuamR3cKB4+cfKVIJpNQX9hZakJIDdMWE1HwxXq276lEEQUYELeCwmRGnd3o46JNJNlhsFwFNiURyPCySweQc2vZVjx4UD2ezRi5Bz2ScQCBoximnPkuSiDgg4gnFYKit6GrfFn61MtV1tTc5cyV67pShAPD7CbMvJpXSFATnb+hXVJGDRlb5uvegsIDDSRysGQ7WbeluigofSMJUX1ddU2vFKP9uY5Rdw2DDoSuw7auOvW4QRK5yisy88uKyumkTuparRUFB+eQZ+CR3Hx8fe3v7ffv2ubq6hoR8OLmd94GLb8j237d6OpvLOV8ikWTklhWWN0kwZAyWJBJwNfQtRs2cTaH2oovc58CwcXMEAn5JTtKEcZ27BEqtKOr+Jc41TTqHrtzCE9lsFrOFzRcI1343rVNr5x4xNVA/cu7ZwrVTOl1nMhpfPbtlZSpXijcAGOipW1ua3Lgf28rlkkgEKzPDjq41Z1sj5/+Pc5689CR49ip1LYM7l/709NGVimAZ6qoxkR7SEyWgODRkz5Pru7sMV1XXNe85Ej51vLevu1wheBKRGPvk4VJThaLaGj7fftTUpURiW8nbmT9+bDewAGDMMKe//r3/KDbd29WRxcGZGbEA4PsF+fLsMoAgCFJVSzUzKu7dbUpU0KDDm1rwLDaOx8fIjhKy2K1//XsPbYmDgvI5M/AGFgAoKipu37795s2b69evX79+PY32sco+GZjasHG6PKAVldYY91RvVVnT+DShyNFnYtAIDwRBUzR64Ma5/ROG28hySmnSNZWoX04LAAQBgCcvs89fi14wowstq+5gsriPn6db2XsyGAwlpbaM8nNHNzMZzSSCZOQQa11tIzmXopBJsyb5a2mo3L7/ZPv6rzHdOJAePkvhsLl3rxzDAs/W0oBAwEsPX1Ba19AoKw7155/Q0ACMurhnT0deOVbSafT89Zjsgord62aT5e8SI5HMnjbGxEhHS1Pl5r2nD1rqJkz/TjpCU1blcFspZFITg5CUoVxZTdJSX/Dg6a/1jWaecrRhHjzQFIQnzhvPDy3u0uHXLW+FSpfMKTx10WjxF4Uybtr2+6WfvpuCpl6hoHzODAoDS8qECRO8vLx27NgRGBg4alQvPhcHDxwOR1lZZeqCDQ8jjpdXZ/m4WbaL7cSlFJTViXB4AgaDSCQSDCKhaxiGfr0T07e2IJ8ZqfFROnRszyE/ZUVgcoBGBQB/T6vElIy8okpzY3n1JP+79sTWfay7of3Vq1cXLGjzPbh4j2yoLS/MSaFSeh32FYrE6urqRAIeAOKT81v5Qm9XcxwWKxQKT1+MtLE0ppBwOESgQFPRVwUPR1MQigCHBYDCsjq6lmVexisTKycstvOLtKIC+HzYtAlaubZXT2zR1fJsH6qpZ+w/GjFuuMuMYDmDmW3ciowvqWpJySzJzs6dt2y7iaUjANTWwo4dkJFgdv6yhqmhhiqd72LX5OPWUFtPFAq3rtl94Oqxcb39ngwgPy7OeZGocuqi0cKZRb24jUQELg86lF6aGbH++teExcYpULuOb/597kFQoBuaeoWC8pkziAwsAFBTU9u3b9+tW7dWrly5adMmFRWVnu8ZTISHh0+cOBEAAicuLC/OuRZ5kYRpFYuF5dUN+sY2UxasHegDfpQIhYKClAeTRndOb39NSj5kFAMAZBQB7XUtoZeb/b+X7jvaWU8e69Fj8rtEItE2sPANnAwAJ0+ebL9u7egLAFXFmUq9zOhq5fGT03OVlOgCoaixqeXW/adMFpfB4k4Y7sxp5ft5WL/MYrCbykUIobIkUxGrm19cacbmg7keAMwM9mEy2WVV0TdehGsYOXsPn9Lx/Jcvw6xZAAAkMlXXzKm8sk5PRx0ALt9+kZRetHlFqGLvBS3Hj3B/Fp9NJGAlEshNjqouzeFyWphN9TUVs6cFJU8c6aqlUds+2cSA7eXSuHF5wJZfT9tbfoHrqbJy8ODl0njnsVbv7nG1gJdZMOyNdlVrl+Ss2WX/68+pJGJnXYm45HyBQOTnYd3Po6KgoHzsDC4DS8r48eO9vLz27t3r6+sbFNSvcrwPTHp6+uzZbb3G9Iws9b7c1MrliMVCMkWxP9Vtnzmp8VHONnrdDv9yASz1wdceqGSY5NdxxMvFQkNNqb6R0d2t7bS28m9GJth6t6Ve6enpFRcXGxkZtU/A4xA5f4L/XHjo721vYqBJJOA9HE2fxuW0tvJq6ppEYmTKnGU5qS8vXH/aym0tLqtU09TDINixU5ZE3wmjaNhceSCZVx+t9d0I6TqKilQbRaqNhWFKRuHL6PsVDaNramDcODAygsZG0NAAoYBfXpLHa+VgcZiK6sZfjt0IHukmW4hBBhgsxt/LBgA8XSwBoIXFwWHpZJJWYeHtc+FT7a2atDQ6d2akKZCXzR+z63D4zyum9m3TAUEiQUQipBdRQj0NiE7udE1Djbduac4POxw2fp+lpf5aI6O2nnHhRsyBjXPf1WlRUFA+XgZpfEpVVXXv3r04HO67776rqOhl4c8AUVVVpaXV+Y9jEplCodJQ66rPiEWivNRoI/22hLYXiXl5RR0UtKMSwcsGJviAgSao0uAtCU0TA00PJ4sev/8vkgtMnUa1SyFMnz79ypUr7aMcdosCSdYKEomkhcV58jwtMTWvqKQsMb0YpFnV9WxlOp3J4kTFpPF43Ic3ztZWFSlQyONHeqppGbJbGDbO/mpahuNnfOc1fKq2SunBlxP/jrBlsV//2dPEIKTlDPt+hXF+0v+8XItu3IDt20EohOy02BunN7fk3zJW4T6KzToeFrlt9fRh3rbdHrGX0BQoFDIJQZD1y/SeXM6/fl+nsbmLdC4TA80AH9vjYZHvat8PQKBvzb1oeYsVAACepYKv/duXDXQ5+zakbtxvW1PfFjsWCkWbf724eeU09PWOgoICg9OD1c7YsWP9/PwOHDhgZGQ0b968Qf62dfHixWnTpg30KT41UuIjPWzbRNtfJOVnFjM8OkpgvMqBH2e0sDhllXW2Fr1r/9KORCKpa2odFjq6/Yqamlpd3evGzwQCqZUnq8cfi8U58OdFJpMlEolweGxubgF3uBOZRBTwuIbmjs+Tirk8vo6OToCPvbmpLolAwGAQrIRLJOJz0uLin9zAk5XU1TWmeOvNbYrIHzLj95PmrTxMCwuvodrKYuPmh5as/1Y0caTSjYd/udt6GlpPCQ4GT5uX4wMc8ktqDv1zd8G0gFkhvn177nLy3YL889f1l84teHvIz8M6v7j6wdPUkX4O7/UM7wo/j/qVWx3lb3QDFXXQTcEKhSz6Y2vyvqOWCEBzC57buuOHb4LQhoMoKChSBrWBBQAKCgpbtmyJi4tbvnz5119/bW/fxZ+Sg4Tq6mptbe2e56H0htK8FLsh+m0PJCK6qlZxWY2dpT4AAF8AeBwgyH/XYmlUQp8NrMrqhrLycolE0tGCd3NzS0hIcHV1BQAcniAhqLHZXCq1689ORUXqtwsmikSiX/++9NOKOUqKVGnZoJmpYW0Lu1WEnTNlWHJmqaOtSfsti+eMLamolYglBcU0Bos/yt+SGv4URnuY6bN++i4LABhMPI+H1VBrBQBLUyYAZuJoj9Tsktg7O+fPW05Q9F65bbO1mf6vm+Z9gBQoXS1uXAp9aTejC6YFbP71go4m3dZCv5spgwgEgVH+NXcfa40ZJp+NxZOl1EUhi7aszASA89djImPc/7k0AoOBscOqzYxY6qo8GTeioKB88gzSEGEnPDw8Dh48+OzZs+3bt7NYrIE+ThdkZGQMZuPvI6W8JJdO5uLxOACQSCSZueX1VYW+Hv/fKe9ePAS6AoC9lUFZRXV1bV8kA1qYbLqygraObqfmgxMmTLhx40b7w4CgBdceptZ1n86lqaGSVVjl5GBPV1YEBPkv/LFAKPJxteAyG1Q1dBEEM2GEa3xyfkXVa8eYoa5GK6/1eUKWlgZNgUqG2ibQf93YW0lRoPFWAxwHK4Px/sZRdzYdPX7C3tps2fwxHyzB3ECHK2N084ppx849rGto+TCH6SfjhldHv1CTa2peORj03G09KaOoorrxf3u1dvyY8dN3WQ3NhAs39Df/arNut/36PXbH/jPpcQUUFJRPj4/DwAIALBa7ZMmShQsX7tix4/z58xJJb5Rs3j+XL18ODg4e6FN8CrBZLWf/3NjcVAcAZQXpjU0t0p/1zcgkRgtr7mTv12INygrA5ADAEDeLOVNHNDSzpZf//vfu9aj0yJiMrjd4k6y88l/+vuY/dn4nKTISiSQUCgWCtsiggqLyzCV7nr6SVd5f38g21FUFgMT0wsrqBhwWAwAIglg7BySlF6ZlFcfEpaVmvaFZVVLRPGyIi5ezJQCAWJKYXhR2PY7D7baxYF5R1Ya9YaUVlqvmmM2f0jshhn4iW74cg0F2/Dhjy8GLfMEHUmbvJzicfG8hVQ1g1EPVYU094/Slx6u+bitfJRLEE0ZULZufv3VV5p71abvXpSvT+I+ff9xtKlBQUPrAR2NgSdHW1t6zZ4+pqemaNWtSUlIG+jhtiMVigUCgoNDrxiwonRAI+HvWzWY0Vj+9e668OEcslqRnFz14knLtfoKNd6iWtpZUU6qNumbQUpV+qaOlKo1PiUViApGoqG6WnV/K5shqgSzF08XSQN9IS68LH8Po0aMfPHjQ/hCDxeKJSjKWoitRXiRmi8WSunqGro6WNOA4PsD2+b1TyRnF1+7E4Amkp89TOn6wjx7q6OtuicEg0NDCV6IWVfFo6sZZuWXtE8qrGq7eS3z4LL2Zwdr5x819f6V/PWuRv8dwfy9Tkvwiou8CJquH3k2KCuQfF0/8+cCFD3OefsLjY+RK6fRzgAevoHtbTCAU7T58deeaWTIyREPHl9+K0n7wtDeZ9SgoKB8/H5mBJcXd3X3Pnj1xcXEbN27smIw8UERFRQUEBAz0KT4F8HjC1DkrbCz0A93U/9yzXElStOqbSWlZRfVN7JSnYTamb/oSSmtBq7NSGgaLWTAtwEipWYGEk1MalEKS8Fq7iH/5+vrGxMR0vKKsoZ9fXNnN0Wk+3l5qmgaNXHwdEyaOHwkEFSCoKKrozZg8xs7BZey4sd8umm1l5yTEKkuHOv5ryWtO0TIfP3PVyJAva7mKVx9m3ohMuf04JbNcPHHB9vxm9a82nH2ZPH72pFlxyVqLZvVGJ/Nd8Oi5uqZ6z9aqkZ568Ci3P8/c+wBH6g/Hw4zHypmAhSCgSQcuv7vxbb9dWr0omEqR1ZEJQWDv+rQWJg6NFaKgfFYM9iT37sBisV9//XVzc/Phw4dxONyKFStIpD72V+4/kZGRO3bsGKjdPxkYTfXPoy6LBDwySEhEwvyZ4yxMdABgTuhwEhFPU+jcfRmmBcCZe7C4i8isoZ5mZvY1gSBAmr/VHSUVdXFJuepGrl02f0QQhEKhdGyb4ztyWtTN0605ZW1Z9h3YcqTZP8BhwfLxjx/nFtRhKcavJc6XLQtbv/4bXV1lAJi7bPjBgw/nzfNUUaFKRxcuPHPw4DRa6HB3gIMHH86b5z02dBkACAR8kVDwKOrhlOBAL0fjhaHeZoa15sYDU0jrYMVIy5blvWvHx9WysKTmxsNXQYFu7/tUfaaojNoLMXcuD7qxnw6dujPSz0FfR7XHNTAYyZRxFX+eMU1Io7vaN8l/VBQUlI+Xj9KD1Y6ysvLGjRunTp26cePGCxcuDEhiFpvNplAoWOxHI2Y9aHly91xxzisrp6GFFU1CkVhqXQGAhqpSF9YVAOiogkQMFfVvj2AwyMI5PUvU8vkCTWPPYWO/6G5CaGjo1atX2x8iCGZE0ILSRnxdQ3OnmSz2Gz6wysrm1asvLVx4pqmJI70SG1uwaNHZgwcfKigQMRjk6NEna9deXbr0Py5XIBSKN26MqKpiSIek84uLS9atW3/3ytGw3xauWzJu7DBHc+MBizGp0vm19fK2zf5isn96Tlladul7PVKfEQoR2X2aO9NN7O9mZIKyEtXf00b+lWaFlD6KRZOxUFA+Fz5uA0uKmZmZVCvrxx9/jIqK+sC7X7t2LSQk5ANv+kkSNHP5Vz8cjnt4Zs5ET7ycxXE4XHfeBXMTXdnuKwAwN9YRMXJfPgrvboKFhUVubm6niyMnLVq7m9rxkzI7vxyHxW7dejM09O/Nm68DwJ49d4cOtbCy0jp6NFo65/Tp58OGWZiYqMfFFXO5guTksuBgR19fs7KyxjlzTrq4GGhrKyUklHK5gvr6emnDqA0b1oeM8SaT5LVs3i3rDrYEL6kArVEi9UB1l9jSRsUG/GjQGiXPv3Xb/jx7v6wGcWq7QrMakKfQJZzWbnsIdk1rFxJoyRnF6Tllcyb792prElGcV6RQVEbt1V0oKCgfKZ+CgSXF09PzwIEDLS0tq1atSkxM/GD7pqenowIN/Uco4Ce9ePDkXlhTMwMjvzvQ1ggyi/uzr4udAY/HkTFBX1+/uPiNLfB4gr93IpuLW7XNMSxCf/V2h5PnBSQSYfPmCZcufbN1azAAFBU1lJY24vFYC4s2t9PChb4MBnffvnt8flv3OjMzdTU1BaFQbG6u8eJFIQDw+ZwjR347duzYN99842Sh+vjaEQcr3f48u36BwRUWN7dwCU+e1ygpUbR1ITFNsHT5zZVr7jI4+Nj4ukXfXj94OC6/pPXrpRHfr74txioWlPKkE1q4BCx+yM59h+YtvAR42u7fOreaGUD4fAyR0LmBYLfEpkNtU6ck96rapjNXotcsntjbrUlE0S+bUvcftWgXf0dBQfmE+XQMLCkhISEHDhwoLCxcuXJlamrq+96upqZGR0fnfe/yycNhM6/8s1NJkOVlgcdgMH+ciODxuk0rllJRTRaLEXC3gsS8/mytoEBhtcjKiZkxY0bHtjlSrJ39nG3Sfv05xd6K8c3sojlTjBGAjnVkixb5vXhRdOdOhjT1CgBu307Pzq6m0yk4XNuLTjofQZBt24Kzsso2bNiZknJ76tQZa9euEfDYzbUF08Y5qdLlynx6TwQFOUREJF+6lDB5smtiosKFC7c3bBjr52d+/nx8u0Nu1647a9eOHj3atqSkYc+eu+0Tioubvb0nXblyNDo6t7qGPYDPohOnLxvqaMrS9HoDHzv4ahxs+QeK25LiOVzejj+u7PhxRnswt1coUIUHNqbuPGQVFqHPF/T89vsqrfD6o8yIB8mJaYWDTZsGBQVFNh9rkrsMMBjM1KlTg4ODT548GRYW9tVXX5mZmb2nvcLCwmbMmPGeFv9MyE1/mfXy2lhfa2mi1TdfjHqRmPcyKdffy07GXb+dMN//UypgcNDSrw9vLAYjEspS3FZRUXm7UtXRI/BJ+B5dbTU7yzZpTfuhI4CoCgDDhlkMG2YBACNGWAEAhULw8jIBgM2bJzQ3c5SUyFK76ujR2QAwapSNv7/JyZMn7exqFi36ZteunwCgIDs5KvyQs4MlDDQTJjj8+usDkQhXXz907Njmly8ZOjrKurrKWVlVCxf6vnpVcuTIYwoFb2ysJhJJyGRCTU1L+4TRo22PHo35/vtFX3215siBbwF6brn9ATj8j5mxPnvSmG5KQbvEzgTM9eF8JIQ1iMZ7brj6dPOKUMpbXS/lR9pgJzlDefV2h5UL80wMuv0FzswtE5LMgudOBoDU+EdJ6a9c7I37vC8KCsoH5hM0sKQQCITFixfz+fwzZ84cOXJkyZIlFhYW73yXmpqatxs8o/SKtJd3J490EUskHG5rYnoxHo/zdu3hJ5WQRnexawIAJpODczEnP02FfjTCE3AbBQI+Ht+trFTHtjlSSGRKZxcbrxbEbUIGiVkCFkvA5wtpNJKDvS6J3KYgVVzcYGGhkZNTSyTizMzUAcRnzpzJyMhYvHixpeVrc8rUyilJw9DeUq/Pz+hdQSSSAAjGxk46OnWurnhjY8thpeAAACAASURBVPe5c09xufzduyeFhcU3NrLpdMqUKS7z5v3T3My5dOmbGTNeT1BSIm/YcO3eveWHDl2vb8gAGPinAwA19cRl8/N7fRsRD/PGgEi8ffb2JYuCNNTegVvRybb5159T1+y0nzOlxMWuc80EAKRkljDEWv5jJ0sfOrgHXDv9kvkic4i7JQ4tqUFB+Rj4ZA0sKQQCYeHCha2trSdPnjx16tTcuXOtra3f1eJoe5z+I5GIiwtzrz5E8ERy4sun/j4u1mY99HMUi5Ezlw1//TkFAHIKK5lKigFRCX02sLitvJLi0srSPENT2+7mBAcH79mzp6OBBQAiyZsRIsZr4XgXhzGR0eUxMQWbN08oKKjbufM2iYTfuGPMt/8c+2/1ihMnnmlrU/D4/EePkvX1vXE4dzpd5+jRJ0VF9Uxm65YtQRoaig5aNuxfzhB/mAmEHuQ9O5JbWM7ni1RVaNoadPnv6pKsfJpQOPb2bSqV+iWCwM8/g/TviIkTHSkUAoIgHR1yM2a4k8l4AJg1y6N9AgBUVOwFACbzxv6d6+KSWz2c3pcjWX4QBCSS7uoCe+C3f+6MHO5iqfTO9ITxOPH+n1Iv3NC/eEMfAMQSmDymwsulreNTdX3L0MmLO84Pmbeutrr0asT/PB11DHXRakQUlMHOJ25gSSGRSEuXLuXz+RcvXjxx4kRoaKinp2f/l718+fLq1av7v85nS37mq8ykR/oGBnisSCJsFYkltha6PWYd/XbC/KsZRVisBAAoZHxeMTOK5R3A4SEyxR67A4fFWtp7yrCuAIBAIPD5fIFAgMe/NneU1E3qGprVVZVlr19R0bxokd+ZMy8Ohd+tQurK66rT0x8+flx17NiOwkKtOXO8SkoabtxITU4uk34dfvWVhV5pfUXWJEUFqGuG3nyOxiRXeg6b9CD6auhYp37WHp44b7T3lxasQud6Nyr19bLKym3aGWQyvssJ7fzw/VdrfvxBT1tVR7O/ll8/UaAIOVwclSJHFWFNE5TXAgEP2qqgpnTxZqyhrvqQrGJweJdioTicZPakNj2LFhb+2j2dzDzal9OLAQBBJG+rw2toGUz7Znv46T3KimQlGto6AgVlUPNZGFhSCATCF198MWPGjAsXLly6dGnMmDGBgYF9Xk0sFvP5fLQ9Tp+RSMRJT6/6uxvj8eoqygoAMM7fokd1BoEQ08TAO1i3JfQUlDbwBEgzQX3/H6Zr1pX34Rh4PK6V1XMzgDFjxty7d2/ChAntV3xHz7x5euuk0c6yb7x9O41IxPP5QmORusrzumu4/0xM3PT1ScbGpgBZZmbqbDYvL68WAKRfZ6e8mu5LVnZ0g20ZvbKusgvKXX1Ga+uZkHBCLKZfxSsFJQqGuhxscyYwelgnrrrOSUOV0NN2iES0/YcZq7ef3rdhjmzR8/cNlSKsbSAa92hgJeTAk1Rwt4RGJiTkRqXmNzWxvnEyA0Mt6En7o8/QFARzp5Ss220vkUgePc/iCMhEUlfybwDjZ6yI+Gdr6DjXLkdRUFAGCZ9aFWGP4HC42bNnHzhwgEQibdy48d9//21v6NsroqKihg8f/s6P925pqKsUiYRMRuNAH6Qz5cU5l07uSUlJ/u3vyyxWW0mXPNpXeJy4iUHg8dt+b4316CVFqZN889wNildudUzK6MGf1CU6qqTivHTZc4YMGRIbG9vxioDPa+GKbzyIP3jsxs3IxMS0gqdx2Wk5r9U1pd4HsViSl5cdGXkuLOw/Z/uxK1b8SKEod5iDdPpaU11JWUkRAEChd5X8adllRVnx0RGHh/nYEXoTWHybizf1Fs4sAokQxHwZ/2pYLVufx/+TliV7Goj5IBGRiPhNy6du3B8mFg9kKdy8qSUXbnRW4e+CinoI8gFfBxjpluRu+cJE55tT62D5VOil8FVvaWxikkgJOw9Xm7lNDZm3vrtpBCLJ2NavuKzmvR4GBQWln3xGHqxO+Pr6+vr6JiYmbtq0SUNDY/78+SoqnRvbyWDwt8epqym/fXYngUqvKC//evWvSnS1gT5RG9lpz8vT7/o56VrqDbezMuitu+XHxTnrdtsf3JwCAObGutNCApBmTgAl0386/swVw4s39BZMK7EwYcq/oIO1fnTSYyNzWUWLCIIoKCg0NzcrK7eZR3gCsbqiSNXFP/Srr4/tX2Hl4FJZWkhTVKCS8FrK/BEjrAICLG7evCkWP/f3t/znnxsiESINpR0+PFO6Qnsh4ahRbWrgo0bZjPIQADMPAEQica8ymSeNdsdisTJaDstPVS2JROxZKUqTQlrrZuelrSHnslrqygtnjvj1fzd++KaL7kYfBgWqkM3B3n+iaWnKNNTtXv/M0QzuxYGZbkFJTVjEs73ru9X6f4e8SMpv5FJWbJpEICpQKD28M7t4jw4/udFIH20gjYIyePl8DSwpLi4uLi4ulZWVR48e5XA4M2fOtLWVlY4jhcPhUKnUwdweJyPpWcy9swQCVsCu1zOyIBAHi7BheUluSuyt6eOcAEBboxcWbTuGuhwNNV4rD0siiohEgrW5AZTUwJXH2CH2C6YVc7jYVdsch7g3TBpdIadgN4VM4jGrJRIxgsgy9aZNm3b16tUvv/xS+hCPJ6zefgaLwyMIMn/5zoaa0oyUeEUaDYdF6hsar508U1paOmbs2P379729rEgoEIuEXQvNS0TcVt7NqFTnSk7Bk/TR/rLMvo7gcO/mtZyYrmxr0SKnneav27sSWlsL/dKK+rCIZzMn+vblcO+CLSszo2I17kVr5RUp7F6bhsN15VEz1AQ99cpTd/4orv5l09x3YrbK5vGLLC2rQC97bznnY7BYE/uArLxMcxPtl0l5haX14wLsB1Y1DQUFpROfXYiwS3R0dDZs2LBx48b4+Pg1a9ZcvHhRdtwwPDx84sRe6zh/SCxs3U2s3ahKujWN3Knz1pApgyVXLCr8sI9jfyv2KWRRQ1MHVQVDTQh0gx1n4OErCll0dHeivSXj243OSenyRgwtjVWzU+NkzzEzM8vLe0PUFIcnIAjS3Fhz9/LfWvoWm365TFY2+mH3lZOn/tXTIBsoNgYGjuxkXZVWl24+sKws7hi+9hZURHTxj1V470nm+C9+MrNxp+u75BVVyfkUeqSFhU9I6znH3Nm2Oa/oPf62jA1wrmtseZ7QuQHRBwOLlYz0q1k0q9DHtSElq9vfEIafw47Lj3evm4WTs2tT/2jmYK3ktq6kOHuNKmsm33lWqm0bjCOQ6Eq093Q2FBSUvoEaWK8hkUjz58/ft2+fiYnJli1bdu3a1alHSjuDvz0OnkAMnLjQ3m2YpZ0HrnuFpw8PgUBiMNmZuSVMFgcAJBJJbkF5j7rtnVg4o2jvX5Zv6Fo7mMKmeSAUw6k7AOBk27xrbfrB4+aXbsllzFmZ6aU9vy57jlDAZ9YXXzzzB6/1jdBSRuITVU2DqOjnP2/eCmStMxfvbNm6VUdTfWzot51WePX0xk+nt6VRRMoyZRQEEjyZogg4nIeVV3JuPZ/flxzBt6EpCB4+04h+oQ4AkTEaP/9iu/WgzU/77C7d0mOyXnu/EASM9Djv1cb6fsG46w/iS7vq0v0hyStSMDVkdTnE5vB+2he228+hP4Ki8tPUzFTV7rWCqFgsTk14QqAqxT08Fxxg2zdleRQUlPfH5x4i7BI3Nzc3NzcGg3Hp0qW8vDxbW9vQ0FAymSwd/Yja4ygoqb6KuRc887uBPkgbiTG3BULxq7SihsbmpqZmIonEaGqwsbEy7GUqCZUinDym4makdlDgmw6eMR6wP0z6pa4W969dSbEJqmt32y+YVmxlKisrC0EQDRVS9MN4NVWErqqMw+E0dIw6zeGwmSRJfeLzh2ScOGjWCunFrKysJ/H5LBZr6tTR8+bNb5/sNXxyp9ubm+qqC18eDQ0sY7GVibJMXjdr9YvHNo6e/6Xy9u2BmzY8iTwW6Ntz2Foe1i7J2fyrTcR9neFDareszMRgJAAQl6xy8LiFsQF7zuQSAOALMBXVJDWV3pm8vWXr6umrt5/evXa2AnXAgtdNDDyThVemdbZf+QLhhr3/bfx+itI/d/qumtUbWpgsJbpRb+/CYDCmVi78psJp41wxWPRPZRSUQQdqYHWLkpLSwoULASA+Pn737t0YDGbixInOzs4fUXscIpmyYf/FgT7Fa6orCmcGu0t1qFuY7MamFl1t9a5TkXpiqFfdpgO2OpqtrvZvdhLskDJPpQhH+tUMcas/G2647y/Lo7sTCXhxdwv6e1gdOV0B0GRqXMhtFTj5Tze1ekOC4b9jW+k0yqvM6rU7Zl04uf9JbIKimpGdnd3KlStJpJ6thKibp71s9Kh4nFVPiTLGBpr6umqXbv1v6sKvlP75l6/1bjxYUrauyux0xcOpUUeT+9M+u+IyikCIwePEU8ZV0JXer4FFwOO2rJy2Yd9/B3+ejx0g42D9spyzVw0KS6nTJpR7OLVV2opE4vV7zq1aNEFLXRn8HOFhAox0e98naWRw1a17/TdbWWGWMpEdMOy9Hw8FBaVvoAZWz7i7u7u7u7e2tkZERFy4cCEhIWH69OkDfSi5OLR9yeK1f+jov0tpxP5g5zr8zqN/gwJdAYCmSKUpdtaxlB8EgR0/Zqza5viGgVXZAE2dPVUUsmjRrMLhPrU7D1mZGnLnfkkViyVNzTxVlTesIgyAnrkim40ZF8IAgKrappzkxzQVHW2Dtr49U+b+wGppqjx4eOXqNZaWlqs37DQxMZXztPeuHDVQEeloyVvIicNiJwy1vv7sgmtilnKoC6OFJZFI2uQb+sqtKG2RCBnlX/N2haCeNvf0wfj+LN4HVOmKS+eO3vPntZ++6+zt+zDQFARL5xYAwPo9dlIDSyyWrN977tt5Y9p00r1sYOe/4G0LCuT3epLsoga7wN6FCIUC/vP7Z0LHubynI6GgoPQf1LEsLyQSafr06XPmzAkNDb1169a6dev++OOP+voBziORjZO7b21l0UCf4jUGpjZmLhPuP0ntcpTDbb0XndSrBX3d62MTVNseFFTCyVvw3ZQuZ5oZsbauynwSpxbxSCX4i8gVmxLnLnsONKsrDzi51XSgWbWA1aMXurO+0gaaFdCstM289x8uVaAbAMDixecePHjy59+njhz7N2jiFGNj4/Xr15uYmC5bFlZR0UUXuU7UVJbgBVVuDvJaY1IUFalTxroyfI1Fe87GZXOSijE3Hib3R0TKzpKhrsLbuP/dRBvfCVamuu6OpicvRA3sMapqyQAgkUg27g9bMG24iUGHgPXiiXDwIkjer3aXgpKqjFaYXXIz7OAIH/MPUN6IgoLSZ1APVu+QtseRCrjn5uYeP36cwWDY2toGBwfTaIOuimfiFz8gMLjeghNjblobvaHOIBZLBAIBkUjILahksXlCkUj+XrYhoyuXb3H0cGzE4SSgowokAshsxrJ7bWbocjsKJcjOzkAgyA8LExw9GqWiQtXWVoqPd7l40aiwsGXv3ntkMv6336YDSGJjY3fu/F91dVNJib2RkeO2bRNbWlo3bvy7sTFs27YQADh6NJrF4jU2srW1lVpbhVu3BikpdfZ2aGgbPGG0yvN06hsZaipvBBAdJw7JpZKEx84WzJ2iYuCWlp3naNPrbGgphrocQ11OXIpKbT1RQ43Xt0X6gOwsplH+jn/9e/9RbHqAj7yCFO8cI322RCLZdOD8lHFe1ma6b4yp0mBaAOwLAwIOSARYEjJAZ3yDx7dOO5goqNIH3RsOCgpKR7Bbtmz58LsmJCQAQKfuuYMfsVgcGRk5ZswY6UNVVVVfX9/AwEAsFnv27Nk7d+5UVFTo6+u3p8MPOBgMBulf15S3+T/2zjMuyqNr49f2zgJL771KEVCxoNhQsfcKJtGYaJI3xphiYo2JsURNMVFTLDH23jtRsQNK773XpSzb2/sBpLlUBTXP/n98YOeee2Z2WdjDmTPXdevWrcDAwC7fnpV4f6i/U9OWqLjMSzefqNXIzC2+//CJsZGhqbEmfSwyGxROQRmBxmSTaSyQmSAzCRSGs6N83Y9uA/vL6VwWalTQ5UGHCZXmuiUWUz0p1OPp0xvXroXX1NDc3e1qaijx8bHTpr0lk6kkkvjjx6OWLx9RWJhy8uTh+/fv3L6dt3TpYgLBcv78UcbG3Pj4wiNHIhYsCCgvz8vLU5WWClJSSubM6VtRIfTwMGcyqVVVImfnemmo0uJcuVxKZ7AIBEJizGM3O17b+QaxRPrP6UdqlcLClNe0nWdnZmhvYv/PuSpvnpuj5QuqryWm6pibSvS4ml+fuGSuHlde5/P4sohN4m793bm4jG5nJaRRNdTA1SWxLE15PL0X2gPtMv8+MLwX+fvY4T6as4wGXAzyQH93JOXAWL87tgtTc2ucPQZ0vH/M3RP9fTrknP0oJoeha+7l5dXVpWnRoqXraDNYnSAsLGzo0KHPt7u7u9fJk6akpOzZs4fP51tYWIwbN87KyqrH1/hak5YQIRSrbj9MtLcyvP8kMzUtXa5QSiUSX1/ve1HJVAr5q6UhBjzNNeAFQsuJs846OBjGxOR/8cWot96q/0CyN4Lkj5PLvh+3YweN8c5QAKhJRnWr1jeHD0esXz9RT4+5cOHf1ta5SUnGKSlzSktZoaF5f/4Z9uDBQ2PjFFvbXnPmfF5be4nDoUdF5QPw8bGKjs7j84UlJTUTJsw9e/Y8k1n/CeftbRkZmePoaJyYWCiVNkqbhl/cQyXKa0TyyW+t6j982t5jPwX0dXG0bbWWmUGn2Vrx4lNy+/V2bHmNTiO72Xj3egm1dH6elQ+ieLaWQo1Xi0rpG3a47N74RIf90irrvdyqvdxikzM4n3zj5WAjFIlJKhWMDaSLQzIaRD7XLJ2+bP3+9ctncTma3fe6lZKy7abGQX282lOmMOOhtBImXVHHbQOlSkUkduLv8L8X93u6vBmnmLVo+R9HG2B1gnbtcZydnZ2dnQEUFBRcvHgxNzeXTqcPGzasX79+r7Pse49RWV6kVMoSM6pu3Y3y7e2+YM5oQE2lUnh63Nz80vjUvNaiKwB7/o5ZvnzkrFl95HKlv//Gt94acP9+xr59D1xdTWg0WWiodMoUgo3NSTqdtHYmj2ve2jDw9LSYNOk3b2/LvLzK/v0tp049Fx+/88AB6v79xDVr3hszZszFiwnR0eVz5nAJBMI330wICdlTWFjdkHyaNavP/Pn7oqMLP/zQYd++KDT3E6xDIhZdOvazLlM1fFDv63ee5mclOfXq6+AxhEGraPv1CQ70Ki2v1HChohpuNm3f20E8Xav/Pmk9YWShRpn7oMElJJI6Nok7qM9LLi50sRf8uTlKKCKzmAoAyRmc5d96blkZRyGrAJDJpHXLZq764ci2VfN7Rtizge9+OTV/Wq/IWO+ouIqWJ1Jb4OOMs+HoZC1du0THZ7n2HtXx/lJxralz+4KxWrRoeeVoA6yO0il7HHNz80WLFgEQi8X//vvvunXrlEqlnZ1dUFCQpWUHvGb/o/QdMqGKXzzDg017TgjKysLIyqItV7uHj/MXfTAOAIVCMjBgV1WJ9u9/EBjoxGLRUlNLzM1VcvnDoKBxanX6kWP33vukVQuXgQPtL19ecvHiNT29ytWrV1lZWT19usvY2IzJpNaFSpMm+dSZBv7xRwiAM2eW1N04apT7qFEAMHGiV2FhQHh4+I4d9bY5X38dDKBvX5u6hzKZmMHSEcnosYlZpbXk4a6+v337rqGpVWm+ylOidLIzBXDk3EOuDnNMoGeL5RkZaPrspFMRlQoPO+i+BP1PC1NxRRW1NR+hJ3F6wcNemnx8C+qiKwAu9oKPF6Sv2+767WcJdS16XNbSBWM37Di9eum0bpr9eb79+eTQAe79fZ36emes2ebWToClz0F+GRRKtB0CiqTYdQZqgE6FKQ8WhrA2aa00UKVUpReIZo717via/YdNv3n+57HDOnGLFi1aXgnaAKujdM0eh8FgBAcHBwcHA8jMzLx48WJ+fj6RSPT29g4MDOyUvfR/A7aOnkBY83yA1S4BA60ePcqaMMFLLJYrlSpdXebChYMiI3N+/fWWi4sJAJUqTyQKcHDQTarWoOGkUCgjYzPuPEqqkZ6j02mD+/eevGT0s2RJOaTleFb2zQBKcvnxKXlW5kZm5voxiXlKJaV/4IQGQXwWi+bo6Lhnz57WlqrD5Y2ZtgTA2YPbqBTqqT9XEgiqivKS97/YceHwtozcaCKRaGLjwS/Nrr/h1B2cCYe3A4gkSGXgshE6CkwaANyNxa1ocJgo5uOXk9BhIdgfjl33GqoWUDJzWeTWq6x0dWRSWU8cLra1FPbxqgy7bzRsQGldi52V8dAB7n8evrlw9vAeWMCmnWdGDPLw93ECQCKp1eoOHAeZOQwHr2P+6FY7lFRixyl8PA0GXEjlKChHYRluRiG/DCQi7M3R1xVmjTV2YQ8SA8e/06ll6+obqSj6KpVaK92uRctrjjbA6ijx8fFz5859kRHs7Ozef/99ACqVKjo6ev/+/Xw+n0gkenl5DRo0yMiorfzNq6X431/kuQ8s5x968aGs7L2yYk/q6XLuPEwYOqATdkMhsz2Wr3pw4MDDmJj8rVunA7h0KZ7PF+rpMclk4pkzVCp1xD//nGcyC7+fUH/MXiZXRMSk349MFQjFRCLBz9N+cUgQp6FIWZqPJmfp8gsr8ovLcgsFDBanSiAeMWnB9dM7DvJLiBLlFA5TV9/Awzew2ROxssrJybG2tm5twQqFvJafPy24D41KyckvSS6mARg3exkAkVDAYLLDrx2prBLoRaRApsBvyxqrpwvKsesMqBQY6aG0EitDmwyqxIZ/sHp+x1+3psjkxBUbe33zaaKBfqunCBfOzvrsO0+fXu3LT7w4E4MKv/jeoyHAAhDQ1zUzt+RS2JPgYd2o8KRWq9duPxY81KdpuZuXW1VUnF47SSwnS8Rn4ZdTMNJFegGoZChUWDyxPrMYm4Fz97AyFDQKANAosDOFnWnDrMgoxL9PkFuKob3h7wagplYkFWmuh2sDGoNdd/C27mFeYZkuh8l5AVU5LVq0dAfaAKtDFBUVmZi0uuvUWYhEoo+Pj4+PD+oMxWJjjx49WlZWBsDS0rJ///5ubm7El336r8sU5WdU3PmVZuz8UkazsHF6/K/qwZ7z/XzdGhoVCsX9qDSlSjm0f6tn9c3NOIcPL+TzhTo6DDKZCGDNmnFVVSIul/H4MSEpCVeuMIXCUQJB5aO/dhz9KV2uUFIpZF8Pu/fmjdRp7+RXdU3tlTuxJtYeHEN9awdve9feFArNs+/4h5f3BA3qRSyTtYiuAMyYMWPv3r3Lly/XOGBy3P2HYaeG9nWgUSkAIuMLJry1tuEqk8UBwDOyFt86rFcjQWjzEhxzAyybiWohyqpg37ycmUzCC3jLFJYwejnXtBFdASAQoMeViyUkBr2lHml3wKArVSpCnWlPHfOnBa7ZdtTawtDdqVs209Vq9eqtRyeN6uvr0ezQwOTRhWu2trdLCGDKYJRVQSrHzGEAUCvGxoP4Yg44TJy7h69DWhWlIBDgYA4zAxy6DmX9a6unUinjYmDvpvmWVnD1CrhwYx+XQxdLVFKZPD4h+f35Y7UBlhYtrxvaAKtDHD16tJvsceq2C7296ysq8vPzHzx4cOLECaVSSSKRXF1d/fz87O1fcl1tx8nYEVQmpztQxTzLl3NwSSQUGFk42ZpSe7vX6znFJOacvHDLyMg4ZMqgtu6UVgBEfTogq8SzPUBdKqpLBD/+kOHj/WjVlzUAjEHu7+8w1suj47XSAoHw9wOXHR1s7Xm1FmZG+YWPzu49Q6MQTY242+cFq1SqIylPbl85OGR0s/wlj8erqGi1aF1UU+VkrW9tYaRSqh49TTWx7d2gJPnTTzfPnIm2tNTPzCzzc/dZvX6cvr6mo3N6JeA+0dDuaY+oFPh2Jd61sRCW82lP4nXbTlCNGVp0/obpjHH5XZiis/T14l+5ZRw8rLhp45qlMz5Zt2/l/0015L1kqSelUrXqhyMzxw/weu7QAIWssrYQRcbq+Xm2F2MZ6jZ+z2Zg6XQcuAaRBEO82zcu3HAA80fD2hjn7iEhe4gu61TFPdtJszv1LCztXI3nr1Mo5EwWp7y00FD/T5M27cO1aNHyStAGWB2ipKTkJWaw2sDCwmL69OnTp08HoFQqk5KSwsPD9+/fX1d/bWNj4+Xl5erq2jNSW6VFuUVVtVSaSm4zkjDml5cyZlxk2L2w04tD6nM2BUXlB09c6efrrq+vz9Vps4K7NgO1GWq1Oju/LDYpJyE1r1IoeVRcNtDMEbKh701x0mEzsOUwRvaBt2GnlkSjUaePD3j4NNXRzoJMJrs6MV2b5E5OXokaOeU9KoXy/I1+fn6RkZF+fhrM4Dz7jfz7xwveblbX7iZ5B8y2cWyWmfv44+GTJnkfPx61fPmJtZtYGTnCjRuvMJnUCRO8bGx43313iU6n/LB+oGbFggG9MHc9+rvj89ld8CFe9XHix2u9fXpFt9HH2636j0N2PRNgjRlavHa7m6ujoKlyBJFIWP/ZrK83H9q2+i3KyztUqFAov95yOHTqkNZyY4vmZC77xqv9AKsFBlws6bAAqZsNTt0BmYSgPpgwkAgQrrb1s2hAJpXIZBI2pz62o9LoFWUF4VcP1lbkjg18ZRqtWrRoaQNtgNU+CQkJHh6dqBZ6WZBIpF69evXq1fjXMysrKzY29vr160KhkEgkEggEGxsbZ2dnJyen7qiX19UzsKAKjZBL7b+mslqgp6cH4O233xaJRHQ6PTU11cXFpe06pOcxMLaWS0XhEaljh/UGcO1uwvAh/ro6DEM9DdGVTK5Izy5OzSxMzSwSSaQqlZpEJFpbGHq4WI0a4v2wrCL5acLcvv0P7++jw44HADIJ3h0SYKwjIiYjPr3E0Ngq5sn92RMHk8ktfx0u3Hzay3+ihbWTZ7zWMgAAIABJREFUxtvHjx+/ceNGjQEWmUwZPuXDczdO1FRVt4iuAGzffuPYscibN5MtLfXFYvnmzVeXLw86dy4mPb2UQiEtWhTw998Pr4dlTvTXNCuLjqNrkVWEtfuwZFLbyvXPk5SuY20uau2qWo21290AONjUdmrYLkMg4KsPk5d94/X9l/FNxbd02Ixl745fu+3Yd593LrvTGlKZfMXGQx/MH21vbdxaHwIB/j78mESul1v181fvR/EKihliCWmAb0UXXh+1GlU1VO6skU33QwGQqB3a2svJSDy+Z+NXP9R7t+dlJcfc2j9ikAedrrUj1KLlNUUbYLVPnT3Oq14FANja2tra2jYcZlQqlbm5uampqQcPHiwvLyc8w9zc3MbGxsLCwsrK6kVyXcf/XDdSXlFgMfjW9WSBIGL+/PknTpwoLCw0NDS0trY+ceLErFmz4uLiPv/8846PaefsOXrqu7U1NZt3nvbpZSuSqEwNdXq52BSXVT2ISs0rKs/KKxVL6rcAaVSKvbWxo63pyAAvVt2puiY4U2k/9fW2M2aWVtAAoKIG9JZ96igoKqdQyHQapYW9tKE+y5BLFdfyF84eaWzYMlK58yjZ0Xe8s4fGMAcAqFSqTCaTy+UUTfktazu3VCNTqMTPX/rkkxGTJnnv3Xv/nXf2AygtFTg6GtnZGZSX1166FEejUWQyhVKpQfS8HhoFLlb4ZDp2nsHkwXBpXc+2rAp/XQSNCqkMVsaoFd8hLp41Ia+17uGPDfx788cMLW6tQ3dAo6rWLUv8erO7m6Ng+MBSJ7t6u25bS6PgYb13Hri2OCToBacQiqQrNh38YvEk8/ZkQscOK9qx36FFgHXqsvmjaP1BfcqdbAVMhvJimCmdppw0qlAiJRaX0guKGXZWQmsLUX4RIy6ZO2ZosR5XBoBfRa2qoZibiAuKGVU1lH3HbSxNxflFjAF+FSIxiUZVWVsIlYoMW5e+7a4/NSEyKfrOgmVb6h6KhIIHV/dOD/bTehFq0fI6ow2w2kGlUikUijrzwdcNEolUF3KNGtVYJa1SqQoLC7OysiIiIk6fPi2RSFQqFZFIVKlUZDJZX1/f2NjY0NDQwMCAx+MZGBhoDA5wbzP6LJnzwcbM31P0M86feypwc3MTiUSVlZUjRoywsbHR19dPSUl59OhRB5daVVVVWlpaUVFRXl5eWlJ8/tjvpsZ6D59mSqTS4uKSM9eijA25lqa8Xs5WE0b2odM0Lek58gsryisFdsY8Ok0FAIXlsGy5OZhTUHo/KsvGtX91ZWlRfuqM0Z4sZmORuI2liY2l5p3fmlpRjZw5uPXoqo7Ro0dfu3Zt7NixGq+aWTkZmVoDUKtVapWa2FxEzdm5PpUyc6bf7Nl/xsTkffrpSJVKzecLs7IqIqIIUwa2GRzrsvHlXHz7N5ZMRkOtUmklIpIhV2LCQCgU2HIYK0OhwwKAgvLcXHr65nKzBa0aI1bVUE2NNESE3Y2BvvSXb6KLSunf/eK6JCTDzammrn2gn0tWbun5G5HjR2hIE3aQikrBmm3H1n4yw0C/0YpHIiXRaRqq+NksRa2w2Y8pPZv98Kn+5q/iGlo+tk27G2Fw6IwlmaQ2NZbYWgozc1k37hoZ6Mv6evM37HBhMhQqFcFAX2agJw1/bNC7V9Wjp/omhhKVGj+sjEnJ5OiwFSIJKa+Q+TTewkkcaW7lZGDSVkW/raPHpRO7Ht+78e4nm20ce/17fs/YoR510RW/siY+tdDB2tDMhNfGCFq0aOl5tAFWO9y8eVOjPc5rC5FItLCwsLCwCAgIaHFJrVaXlpaWl5eXl5enpKSUlpby+XyFQlF3qY66rAyBQKD8+6NSqaxIl1OLKYNGDJJKpWq1mkaj3b59e9CgQWq1GsBHH300derUdevWyWQyHR2d6upqJpOpUCgUCgWdTlcqlQ0j6+npGRgYGBgYmJqaenl56qmzbC11Y9KqB3kZCUVSd2er57fn2qVWJC0uqwHQz7ti7zGbt2cAZ+9iXDNPt7jk/KGTlpiY2wK4fuYPfmVN0wCrNRRK5cVbSVPfWdNuz4EDB3799detBVjuPkMASKXis39vUqkUk0K/ojOYH39cL/I0YIC9Wr0bgFSqWL585N69993dzd59N6C6WszlMsT8XAgftzM9gYCPp2HfVUwNwKEbCOqDk7cROhopubgbiydp+HBKfXQFiHnGm3Z6bvf/mkBoVcnT3ERcWNL1U4oviKmRZPXHiet+dNux/mlDambelMHf/XLK2tzQ07UTO9ENFJVWbvz1zIYv5jQ9SRqforPuRzdrc9HM8XkyOTEjhx06NafhKoOuagi/Hj7Rvx5uvG5ZYothB/Upbyp23/Ts4ZavY5v2nDs5F8B7czMBJGdwvvje84eVsXW7hC72gj5etVfD+VX84rYDLAqVtnTNn2q1ui6oUirrU7xPE7KKahj9hy9Kibv/8Ho0m6ZytTe1MDPQZra0aHkd0AZY7RAWFta2Pc4bBIFAMDY2NjZutQbleR5d+9uwQNdm/mdKpZJMJi9dulQsrs9w1G2b3rp1q7PLKC3K5elSE9LLgya8u3vrcjcXO083284OAkAsU9DZPKlUZm4ijk3WBQA3G6TlN9Xh9POwSY29XxdgGZna/Hv/bOi0er0xoVDMYjVLEUll8qfxWRk5JTIleWLIciqt/VCDQCCw2eyqqipdXV2NHWRSyek968cOcVaDEHb8e1vPIFfvloHvyJGuR45EfvTRUFdXUwBcLgMAg0FGRwSSYjPwKAGVNfhyLs7exZyRcDCHjQl+OQVTHqwaf9a/7HX4YnEKNdUePxzBgrFo7qx8+KxlQqqOREpa/l5qB2btLowMpMHDiu9GGAT0bQxfvvpw8pcbD5oY6hoZtOqkpJHkjILf/r66+auQFjnRE5cs9m2NZDEVfxyyJRAglpDSstiOtvVlVSMGlZy4aO7lVn38ooWujvzrj5JbVE11GRd7wfgRhVdvGzdswqZnFw8e956pRYdcJhvCppGTF58/uIWgkjr1HhE8egQA/8BJCJwkEtYkxdyLDk+AWqlSKdlUWd0/Qlq0aHklaAOsthAKhR23x/lP0m/4LIiDQCQ26HJt3rx57dq1L/IvMp3JvnTtnpWN7aMb+ycHD/Z2t5bJ5GQyubPK1LZmuhKOz8V/rykUdgN8ywHA3ABlVQ0B1o17ibVCWWVV5YAR08kUqoffsLzk23WX5HLFpl+OrP4slNzkh1tQVJGdX+5gY5JbUFrNL9M3MH1uTg1Mnz791KlT77yjQY+7il9y5ei2sUPc6jSKgod6qZTFD89tklHNB4+eV9fn6IGIotrHy2aYAg/Q9NyeWl1QzFCpCJZmrdakA8C9eBxcVf/9jGepVjIJn0xv2ksmJ9aKyFbmIpj3hp8zfjyOVY1qpb8fsrMyEzW41rxaggaXfLLOa1Cf8oa3GIFAWPvJjBUbD276al6drlhHiIrLPHr+XlNzw6w8lrW5qLiM7mhTm1/EcLYXvDsnC0C1gPLrfvuvPkyu69avNz8tix2XzF3xQfJLFwML7F+2eqt7Q4BFo5CkklZ3bFuDwWTPeHfd8+1Mlo7vgDG+A8bUPSzKSz91/Ut9a22MpUXLq0EbYLXFqVOnumCP85+CRAX7JetT6HD1A0dP62NPMuDpAigq5e89fPWDt8e3I9PwHBXVYldPFzaTufOXIqPIv57eoPce1QdF/LqrIrFErKAFz/t830+flRbnm1naCWur6c8+nh88Ses7OLiiotrYqLHq2c7axM7aRKFUxqYUW7Wp/ahWq4799d2A4dMtbV3asM2JiwwbHeDSVAGSSCL497Z/Gp8VduFvt96DpRJhWvnBPVeCYqKMbHSYTIZyYJ/yvl78knL61t+ddHXkRKJaKiM62dXOnZSrIY+iVoPUIUHatCw2+5kPIDhMNNkv++eUFYclHx3Yo4XtbUAhq6YF52/a6fLlkuSGRgad+umiCau3Ht20Yl5HBrlyKzo2KWfzVyENLX+ftE7NZCuVBEOeTCwhzZ7YWOm/6x+7eZNzm94+b0qzhy8RAgFNk0pyhaoLm+MdxNTSwcZZWwivRcsrQxtgtUViYmJISEj7/f6rPPoJ/T7ujoEVUqEBzwpARWXN7v0XZk4a1vHoKie/xMzEgEImVVRJeYamPEPTbbuROvFnIzYV0emwqxdEPXftMZlpQqXRF33+CwCFXHbt1O+BvvXJrcpadb+RwfHh+5sGWHWQSSQzI46gmq+rr9m8SK1Wndy3OTE2csaCr+tarKyssrKybG1bbnRWlRdxXTTU1vTuZVtYVJb39IhCofp66kD/fukjLEUABLXkO48NN+10YbMU65cnNFgjP4jiffOT6xeLU1omVMSyBJHDT1/6LpyV1debX1NLOXfNNDufpVASpo/Nd39WKv7rfnsKRb04JKPZvRKZmkbd9oeTg03txKDCVl/uV0Fg/zI6Tbn8W8/pY/P79a6PmHV1jCcG9f/xr4tLF2iueGvgwKk7Mpni88X1/xqV82mbdjoHDS5pWmjVFJGYZNW6dMVLx92pJjpB19u9CkBGfnXvMZ0QFuksVFpPCOZp0aJFI9oAq1UKCwvNzF6OfPkbgUrEJzKbRxu9ukW8HgDUSgDhESlVUrZHL1fXzrgXZ+aWHTsX7uxkZ2LXp77p/Hn1xMl8a6VuRBL6uta12Via0E36AVCrVRKx6My+b0cOdOLp1Z+2I1JY5SW5+rqaJYh83C2SY+/7B2pQjxSLai8c2mzMJQUMn0Ag1GePZs6cuXfvXg1aHmpFa/kDM1NDM9P6M48jnqnkc9iKscOKxg4ratG5v2+FDke+/FvPH1bGMujKjBz2iQtm4sxKZBUbu/X/9dun+45Zn7tuymErJgYVzp2cq1ASdx2wO3LO0sGmtr8PPzaJu3tjc1H4WcMlO6+uCJ/1ru9ht0W+Glf4avH34fv78H8/ZHcxzPSbTxNik7i7D9oRCB4D/XYfu3B/RvOjDE3Zse+KjaXhuOH1TyoxTefPw7brliVw2IrWbmHQVRExen28Oqkv2lUmjy78fIPHz+uiS0orxTJCZtJTe7fX8UegRYuWF0QbYLXKsWPHuskep6eRVoPWTnWwtCxNsaNXzeSz1bc22878mWbaCwBYnSiH7xQqlSomIVNJsxw7ad6F/as7fqNCoaisEU+Y86mugZGx6bNjZePHOyqVl/5ZYzd3ZEPPvt6Ofx056dln6Ik/16WlJc2bMsRAvz66qhWK2VxeesztSSM07wPq63GfZmoWiwq/enDUQIe7j1MGDB/X2F9fv6Sk5PnONCZXJJYwGZ05l6dWY+NB0Cj4v2kgkyAQobQSdmbuTjVff5S8/FvPOpnQJfzvORPt0d8dFDmAulqiBihk1UdvpwOIitM7dNZy1cdJLWcx5a2Trlj+W4b53iQcqMDs4Xh5gukvkUVzMj9a7f3l9x42lsJfvol+mqB7+OzCqppttpbpfbxaJn4UCuXqrUcnj+7bcOnWA8PLt0waTu21xvJFKdv/dFKpCA3Zsm6FTlN6u1Wt3e6ko3NheujcG+f2WTt5kskdrS3TokXLm4I2wGqVHrPH6XaKY2A9uI3rNVUVosijRJsg6rl5VKvRVGPX7l5RwJjQipICL3c/QU2lUi6trqmVyJTGHTgjFhGd7uQ73tmjT4t2IomkQLM4hkCAHs/gyb2L7va6oweNbSoxWlUt4PIcavmtWsFQKWR+ieYAS1RVpMPuZcRj1wqqdfUbA9B+/fo9b5tj7eiTX3DXyaEzpsU3ozDEG8Z6+P4fsOjQYUFfB6fugEAwc7XevlJcVUszYlRjlxyDvdodzNejUqN78fVwYxcHgbmJGCvmIasI6/ZhTD8YcCFXwNECHS4k7wE2fB7PoCvJZDUAX49KZzvB1duh/7fmz9Cp7otD6l2rFQqCUCz8aNXJz98f4+ZkmJzBtrMSHr9gIZMTN62Ia3N4ACCT1ZNHFzx8ot8zARaA+dMzf/zjKkfXw9LO7e2lm3tmUi1atPQw2gBLMwkJCZ6enq96FS+JNqMrAKV/z6jRsdI3HWJt68Nj6IPY7ckMfQNTfQPTm+f3Ckoz03NKYuJT3g1pp7CmjrwSQVCgZp9jQ3OX0jK+kWH9LufDqOLomGKZ+OacSS09pKsFYl0rk4LUVqXSlSoVl6fhCGF5SYEBlwzAzcny9MW9Mxd905B40Gibo1apCB08GplbgvwyRKaAw8TbYwA0PeVXT0w6desBIwYVd2Lx1xcdGrYV7kbwGrWdbE2x5i2ExyItH2o1LjzAF3PAFyAxC7ps9OqQgkD30WJrj81STA0uHDt85MDJh6eMmWRsQNz4m0thcfmdx6eDBn+274QRgQBP1+pvf3b186xcuiCtg7MolAQKpedO25GIxPfnBZ69EVsnAtxj82rRoqUn0QZYmjlx4sTy5ctf9Sp6BLWaIS6UVGRXpv3LdvYzCD3RYzOLBJWTgrwqKm2KSqrNO6BD/SAqzc1vtK6eZi9nOxef8Au/TBzVr+5YVmTcgLdnWtlby5/vqVKplUolidhqUQ6ZRJIJy59v53D1aoRSAEwGnUYhEQmNH40abXPS4u+N9m+zjC8hG2FPUCuGnSnMDTBrGIxa9xb0ckDd5pcOq4OHB1uDxVAKasmNsQuZhKG9ny26AL+dAQAve1x4gGohbExhbvAi07106DTKvu1jRs27MnfyxzkFsVz28funZzEZxUD9WciQKZrr2VuDQVfWCnv0jyGLxTA1YvPLigyMzXtyXi1atPQY2gBLA0qlUiaTsVgdMmF941ErxGKRDs9KKFfT/Jf05MxEIkmhVPL0uDy99jcHS8sqa2HY369VVX0TcxsX/2mPY/4d4OsCoIzP1BhdAaBQCCnxEQ7mmqVB67A242Slxto6Ncti0uhMqZIOQCKRkamsFtY3o0ePvnr16rhxjbVZKpmQQtH0K1ZaiYPXIZZCh4V3x4FObbxEIIPQXgbRpxcyy+DOAYPa/IIKKs1PuQXTx+Xv2O+w4oNkDddCgiCVwdwQAPzdcS8ON6NAJmHOiI6M3GN4ODM2rei988Cywf0sl7079wVHszAR5xX19IG7Ab5Op0//Nuv973p4Xi1atPQM2uy0BsLCwoYPH/6qV9ENVGWrcsKhbr41RiAbTP+NMeADJkeP4zSsJ5fj1W/Ug6iUDna+HZE5dGxoGx0IBKK798CySumzh63u+FiZG0eGX2zbu83Xw/5J+GkAcpm0qRy2tWPv2OTcm/eTRk5pGYwOHDjw/v37TVvobAPJM+NqAJDJsfMMNh/GxYcIGYWvQvDhlGbRFTD+3ZRMaX+Yj9+wn3wgzHD7MQafMezD72sLEADz8XVf2zO9+QFL4DC1oaX+y2AQCOQOfBFtLYXOdoI/D2sS0Dfg1kdXAEhEDPaCsR7MXq8MFgC1Wh2fEulir9Ouf3NHIJHUMhlRpepRySgaleJqq5uRHN2Tk2rRoqXH0AZYGggLCxsyZMirXsULIRELLxzedu/G0aaNufvnpR/9+N7+5U8PLkv5bXzc7lln/95wbv/q3LBfJZc+s5yrWS2z+7CwdQHb4Xp4nFTWTt4lNinbwWsomUJtuxsAHSOHyOhUlbLV+ioATAb98w+nNy17fx4CgUClUgDs2vRRbmbjKTyfgcE55aSi0koWp2XWjUAgcDicqqqqhhZP/6DoxOz6BzI5vvsHEwPw+Wy8PQatVPSHzHI9diwSwOXL8VOm9GazaXUC9wcOPPrii1NLlhwqLRWw2bS9e+9VV4uzssq//PLUhAm/AlAqVYYWGxZ9I+AzR8Ji0vNfC9fWCLijYTEJej4ApowpoNOUYfc1a301Iy4Tgd7td+tBJFL5io2Hhvi7bVwxt6i08uGTl2DvM2Zo8YWbHdLuf4m4O1vFPbrcw5Nq0aKlZ9AGWC0RCoVsNrsb7XGUsvb7vBiZBxbcOfR1H2uFbkFY0/YEzkCHmSvcfVztCOl2g4M9gqdNHOo0YbiX56R3CEw9IktzbVO3EjBqjt+oD05djUnLLGitT1pWUalYt7d/UEcGDAwOVev5PIgqJpPaqlnuiHSCikAGoJBLRLU1Tdt1eYYUqubtpDrbnIaHphb2xRX1GTVsPIT3JsCsnVKzCcH2V68mpKeX2toasFi0qKhcsVgOICGhcMIEr0GDHM6fj42Kyo2KypVKFZWVIgCZmeU1NZI7d9K4XAaDQSESCbt23WmIxu7fz1i06J/t228AUChUK1eeLSquN93z8ajKLWC2+zpA/pLtYl6QgmL+5xsOLF041s/THsDSBWMvnryT++2BFxw2oG/53Yj2CwFfLmQSiaQWqVRt/T+gRYuWNxRtgNWSbrfHKYzovrGL8jOubxqnm3UmKGgQwn93cHSva1cp5OXXvzeqfkokQFdPjxsQSuE2hlO1QnGceYccSLoDPZ7RrMUbRAz3s7cy9h3/t0bQaHGsVquvhcdllVNHTFzYwdEIBILvgKDte7xbSEN1AZWkSiaVyGQyDrfZJpRnn5HT3lmp8RYHB4e0tGYn1ziG1jUCIY7fQnC/dqMrAHQ62d7ecMOGyyEh/s8NbmhgwJZI5AAIBIJSqRKJZADGj/c8ezb6+PGoqVN90tPLxGJ5dHReQzS2f/+DwEAnOztDpVIVErLHx8fK1KReNN/GQpiR00oaT6HE9Uik5GL7sdcqfXUvMvmXvZe3fDjVRI+DhCwcv4VDN1ar1ZvT82u2HoVI2v4QrdN2UN5NONsaPLmvTWJp0fIfRBtgtSQxMbFXr17dOIHlwO4buzLukrclgzvhqyuXw2qdZ9O8Zta1Jzy5nZ8bb2VqAFXLo3OZOcWX72YOnfRh962qXQgEolffEUMnvFtRXrFt9+mk1Nzwx0nXw+NO30hy7T87aMp7bd+ukMsk4karEyKRuGyZICEt6gVX5WrPy05PEIvEdGYzGx+unuHz+4MN1NnmNDzsFzgl4lYc8kvh59LBeUNC/K9cSRg+vGX/pqLwAwfaL1588OrVBADjxnmeORNdUlJj3qRsvyEaW7hwUHW1ePPmqzKZ0tHR6OHDzIY+TIbS0kwcFffcuUWxFGv2gMtCYg7mj0F/91bXqlRh51lsPozvD+JpRzURusyeo2GPo9M3fjSFtvUIth9DUg76uWJsf8o376zb/uHKwgrlztNdHlwsIVEoryCTxK8UiGoFPT+vFi1auhvtKcJmvEn2OAWPYN6vRZupMp9flK3n2s+z4irbf2uDFLv60fZeY+eRKS0FJNPDL/FJVtMXru3+5baPDld/yco/VSpVTnq8p48TkUTi6LSuWfAMlUq1e/P/DRg+peke4oDhY0/vi1YpVcQXkDOgksn5+Rk8PXZtTaWBUUffFS1sc9gcXb3MKtHsER3YiqtnyBCnwsJ68cldu+YC2LFjdt3DoCC3oKB69fl33hlIp1O+/PIUm00jkYiDBzuqVGqgPghriMYuXYrn84V6ekwKhfTNNxNCQvY8iS72saqf693ZmZ+u9zI1kpgZixtXQCTClNdgOtQqYU/wMAFTh8DZCmo1joThcRKmDIZhW8czu4Y0LnPt7+dGKFTDe9lizyV8Pgf6nKYdeHqcxYsnbl7154quTnEpzGT8iJYmRT2Ahal+qeol1Olr0aLldUMbYDXjTbLHoWj4yBbSDMpFSu7lnzhDv+Z41lvpSR7/znYdl3dpl+3Ejxp6KgVl2df/IVoP7ztpbc+styMwmGwAbt6tOs21IDn2fuyDS3pssp2zT4tL/YbO+OPwD+/OGt7lGItOpxUmp5gYG/IMO1H7/Lxtjt1XGx5e2zmsg4fdlBLIqtrqIFdAKIEum04EFNSNG6cAOHZsUd3F//u/YXgWljVEY1VVIi6XURdynTmzBMJsPFOxJxCw4Yv4T9d7bl0VS6c9q7WiUZBVhJh0PGdH00heKVJy8dUzK3QCAbOHI68UFx+iqAIjfTuesWtJci5O3oYOC6GjwGUBKIhI/u7L3V98Mt06uD9aF251dTDPNtI7cOpOyJR2lHU1EhmrNzW41ULA7kOpUhG7X9pXixYtPY82wGrGm2SPY+TR9JGoOFlRXaAozzLSN9Cdd57MrVcvrC3NIlz9rNpsvAmNDGktaGwAUKuLHl6m2QRajH6DxVQF1fz0JxdmBPuIxJKwy/vHzfkUgEhYw2TpADCzdgyesfRxzGl/H6eujS+RyGRSqTlPR6FoVZJUI/7+/hEREX361Pv56OobVUnIEomMTm//FCQEaRC0utd2PC17ur01NhzAylAAYJhDt/3tbF02oKxtfKwUN71KpykNeVK5nECnNWnd9D6uReBUOBYEw+o5S8qMQuy5qEFr3tIIb43G7nMvZLZz7F+sDIVQjN3nAISVVN4o4W8bP4DeusFzPQLRGCvjnUJJ+L24gIEe7XRuTkkZTY/bIQmxl46lqdGDyzfcfQKi7l0qyUmgUCkqlVJNoPkGTDSztL9+5i+fgWN4hm9IWl2LFi1N0AZYjbzB9jgquXSXf5WOA99ynO8Hv6Emr/D4Byoy02LylicPLvuMXtXbxKZZf7VSV4+jjN2FYR+ApvNq1vzCPLp1akhfZwBMBl2lEAH4a+snDJbOnPfX1XWwtHONune+uqaWq8Nua6BWyMirYHM4LKZSLu9c6fS4ceM2btzYEGABCJr6wflD308b49e0jqqz3M4v+T0+1ZrD7qvDglQOGgXiAog1JF1KReIkfs0Qi456dZsYSu5FGowOLG5sIpMQ7A9vR+y5iGUzwXwWfJVV4cfj8HXGl3PRWryYkodBzeObhGxkFyGoD2QKsNo8v/n7eUwYCCIBHKb605m/H7qh5OlsWBkKTge2WCUyiCSLU3JX7rlkuvdLB5tO/Ke0Zbfzu7Nf9FRE1yCSiEEDnS7+vba3u4X/sHobKIVC8TDi8KObJBWBdHLfxkWf/fxK1qZFi5YXQVvk3sjJkye79/xg90GkUIetMpCgBUWRAAAgAElEQVQWuPkGibMeFPwyuFJYLc6+j7hDXqk/yGoqmnVWqxB7pjolUjlh7+2wc3lbfTK2DUzdNbFwq0/qnjnR1/68d+NYdlr8K3omnaCmIofzTMtKKZcCGD5x4cR5nzbtM3bmx5fvJKlUXTkdJpGrzW1cyiv4CnnnchtUKlUul8ub3MXm6BaUVN2N6KiqqkaGWBjvHta/r4kBgLatcrY9SdoSFVct66ggSHYeq1l01YAZD3NHYu+lxhaxFJ72mDK4rYhn6xKcu4eyKgBQKBGZjKuPoMPC9wexfj+EklZvTMgClwVvBwA1teJl3+z36WW75O1gcFlt7Aw2YqiLVfPBZa05suanPReraoTt3wKIxKSNv7nYWQmd7V9Zpbm+HmdSkI+1eaMmGZlMHtTHZcxAa5Kc/zTyYWL03Ve1Ni1atHQZbYBVj0qlUigUTGbHa5FfL7Iz4qXWIxh2A+JvHyTaD3AfPokChSr92kNyP7KoeYAFtZpEK2C7p0ed60OOsJy+wn7aUpvBY82sTCx9/M11apwNBcl39tSk33s1z6RjPAg75WrTqHpAonMB2Di4s9jNEnIUKi1w/HsnL0dIpF2QHyN4+A1NSM5WKjq9eVRnm9O0xdDYNCVbg78h+AIUVWho14QdlwMA5gZY/zciNRndAABW9fPcMdSfS+3AjiQAwMut6tqdVtJdtqYAUPhshZZGyCnR3LMBAgFLp2PdPmw/hp9OoKQSS2cgwBOr52P5LGw6iIQmuSK1GgVlkMqx/wr+uICgPgAiYzPWbD26dtmMPm0UgbWGuSElt+SbEX6rfjiiULSj4JVXyPx8g+f8adlLQjM6PVH3Q6dTJ43ye++taZG3jlZXanrzaNGi5TVGu0VYz40bN4YObdXn7vXHsPCaxNAbgMuU9VFHVzMvb6sgGlnQdFiqDJ38p/AcCuKzshgCieAxvq8HUFOEK+shLUefECpHHxbeDB1dBo8JYGBfl9KwrToO3ago0QUkYlF6YlRK9HUKUWVvxXN1sqxrL6uo4hlbt3aXiYXdmLlfnflnw4wxfp0seCcwWTqBwfOMTC07u9QBAwZ8/fXXTX0JIRb1UnLKP99lwNOBoS5M9CFXICkHehxUC8FhYF5QhzbCCitwOxou1jh7r7VCchaFzKJ0Yld09sS8H3Y7iSWk8SOKiMTnsn0LxuKvixDLMMIH/0ZjpF/7IzJo+GIOSKSW0l8GXKx7B9/sh7stAGQU4sBVOFkivwxTB2NaoJpJ2/3PNaVStW31/C5up04ZjEM39Ax1PyEQvv/19KqPp7XWUa3Glt1OW1fF0Kivtc6ndy87d2erk0c2BwQvNLfuYkGhFi1aeh5tgFVPWFjYd9+9wa6rNIVAaNIXAEdHL3Du6vyfBpYY+WcnhrsKs9LcP3Qkaio6pnMx/FMkXQOAxEtwC264UnTnuN6AD3po6R3m4uFtXg4cOzOdxGw+i0EBwxREOgAGRKb0tnxv2BzdsXO+iIoJt7Pg8nTbrznjV9XIZAozOx8A/QIndWGpDbY5urr1mgWc8Md95nx4gaucGOwDvgCllSCTMLY/yCQAKObjaBgWjmtr0DoOXsPWDxAei9kv0y5z+Xup18ON644Ttoyx6FR42uNoGB4mYcZQmHfMl9CyFRMeAgGTA7BuH3ydEJeJlaH1rwBQLRB9u+GfKaP79fd9gTCCTsU7wQDsVKohJ27/te/ygrfGPN8rNol79prZ3Em5r3l0VQeFQp45ts+FG3sJIxaYWXU+q6dFi5ZXgTbAAgChUMjhcLrRHqebyf7nHZbn2zaDQwFALlJnXGMPX8lITDKTpoJC4fAToXYD4bnkDZUJXUtQ6Dj3JVyeiUjxc8TJt4gMY8PeXQksuo+cjARLQ5KDrfmZmwnDxi8siD7217a8cRP7mZnpzpz5++7dzZTo583bs2dPKJXa+PbmcHl9Bjc+o/ffP7hu3XhjY83Blr4+AJh0VWegjjrbnHfeeQeAVCpOcDCZMHUa+UiBXKGk6HNayDjBRB8CseaBmvLjCdibg0LGsJayFC/OyIASC1PxByt7D/EvGzqgzNjgWbHUhfuQK7Fj6UubydMe7rZIyAKP2xBdPY5OP3bh/tcfTdXjthUrd4KJgwbrsLKjUm7cjR0xqNnhlVoh+be/7T9dlOpoW9va3a8bBAJh7HCfoxd+d/QKrK0qt7TzsHft/aoXpUWLlrbQBlhAD9jjdDMUMoXu+xZB1xYAyLTipLvqxJOeozYKyWPvV+mNczBq0J9sRtZ9CEqQG4XRq8B5VoKjkEryEgxnn+251XeM2EdXxgywU6vV1TXia6f/sDdnAcjLq1y+/MRff4W6uppmZJRt3XqdRiOvXTterVZ/+OERMpn43nuD//77QXW1eMuWaUePRmZllQsEkrVrxwNYteochUJau3ZcTY3ku+8u0emUH36Ytnbt+c2bp547F3PmTLShIaeus5ERp73VacDBweGvv/6q+z7hyR0Xdx8AdLZuSUm5hbmmgidlByz/5HJ0SeSpg7g61Pz8TXR2HnP1D27vzsny86zEHxfAYWLWsJc8E4kIT/u6b5VK1U97LnE5zB/qtCdeIoM8Qp+mrotIsTQ1cLZvVDrYfdBuxYfJ1uaiNm59DSESCdNG+5SW53BsmelZ147dPctg6tBZHB09Y31Dc2NzWx2uVrBUi5bXCG2ABQCJiYkhISHt93tdMZ+1u/EBgWQy9WdJv7cZ1n2L/10/oO8ckqkmqxMRH8WJcBsLIxcwdFGaAj1LUJhQSKVKkolpeyrePQ6by3scnVZQIiwrzn0vZLRUprgaiZUrz+joMGxsDABs3HhlzZpxjx9nHzkSQSAQFiwYWFYm8PZef/bsktTUkl27bufk8ENC/HNyKs6fjwUwebJ3VZX43LlYR0ejRYsC/v774fXrSTU1koSEwj177nE49AkTvOo6L1jQxVq0OtscXR1WYuQNJp10ft9qCxMdC3Mbzb2ZdPz7FJUCBPaGHhvPVyCdugOj9qXtXxAKWeVoW/vrt09PXrY4eNrqK9Jlw3dfdnTVhLzCio2/nX5v7khP11ar6LoOhQw2c+Vwn2V/X1318TQDfQ4AtRrlfOobF13VQaGQzU0NAfh42Pt4AIBUKuNXF1UXpz9NvFRdK1MT6VyeJZ2lQ7x4gTlhJOTVgDbq0qLl1aANsN4oe5yOoFYTFGKypOzqqV1EzpAAXS4AdU4kwdQVVBZkQhQnIu4cDB1hOwBQ4+FeKMTo9xYy78F5ZF6VSmU/AcTX8I1BSMsTe/iNMDd+yGEzOQCg+O23OVlZFcuWHdu5c25JSY2Zma65uW5SUhEAJyfjui3C3Fw+hUKytTXIyeE7OBgKhdK0tFIAPj5W0dF5fL7w0qU4Go0ikymUSlVoqP+vv94yNOSQSMSmnbvGjBkzPv0w9K3JfSeP9GSxGG11rRSATsWOU/h2IU7fQXUtAHw8vV6O4VoEckvAYmD+6C4vplOQyeqZ4/NG9M7Zt3rkp+137yKnLj+KiEnf8nUIk0Frv3fXIJNIVbXffjZrxaZD21bPp1LIWXksJ7s3ZmewXWg0qqkRz9SI17ChXSMQSmXlhr2MUJ52U1IG2L7K9WnR8j/Ma/g52tO8SfY47aKQ5mx0pTmNUufesxXWOnl4ojwxI/ZRbUWx1xQ3KKSI+Afm3hi7vvEWKg2TNgOAqFKVEymJuWb/wbVXtfw2qK3ImTzc6XFMuIeTeUMji0VbsGDg+fMx587FzJrVJzR0r1gs+/77yevWXZgyZaeeHmvTpikPH2aVl9euXTsOzf2SG75XqdR8vjArqyIiIvv77ye/9da+v/4KPXjw8YuIgtbB4/FqqisD+7ur1a0IcYmluBmFuCzosjFxUF11NupyOUk5OHUHvR1x8DqG+2BMP5gbvuB6OougWKbPQ3f8lRDUijfsOBXY3/37L+e+9MHrUamx4xR6O8LXmQMsf2/C6h+OblwxV6kkUF+FqXOPoVMnDhfgiZ9OoDMuT1q0aHm5aAOsN8oep23ubkTMft2Rq8QyuaA4kSgWp6RmKWj6lTXCPvZcXNsApQxGTrBpbhFNYSL7IWz8wdAti7ioP3kXkdWxY2I9DIGkw2GNGNToDLN+zUjQeKjz1wMATJzoxWRSCQTCwYMLZDIFkUgkk4kikQwAk0n197dDc7/kUaPcR40CgOpqMZfLEIvlAFJT1wMICHBs0blrWFmYbt55TiEVfrRwIof9TIVBIkPYE8RlgkbFCB9oNIFxtcbnuyCS4OuQhkrwHkbHhiUof/nym3ceJZ65GrHig8mGvG5zEcgvwx8XMHcEnml52FgYjh/pu/PANXvrkGbO1v9VKGQNu8xatGjpQf7XA6w32B7nebxC0Gcxl8blKmX5MVe8p8y4ERY12NvD9vY6GtkPwWtRloakqzj9KUxc0X9h/V0jV+DJEXCMS2rkIoqxrePrpX3VhOdOQQqzIG0UvUzNrXHq5d/wkEol52clqtXqan5JL0cT1CArr8zE1jc3M96cR2U3N2wpzSmh2PsxWV0pZm8bOwveo/jCFYuGc9hM1IpxMwrJuaBTMbQ3gv3buXnfCuy99KqiKwD6BsrMIq5aISWQX44isUQq3/bHeWMD3W2rn/MxfIk8ScXtGHw1D7Rm6iQD/VyexFX9si/p3F//G2VJreVNtWjR0iP8rwdYJ0+eXL78DTY8bganfu+s/Ccf95o0wbnHfZk8aeQj5ahvmCZmAGDoACNnFCcg6kjDTQqFIjenxDT2G5Wet83im69k4R3ieSkvYXbDtyqVOi2+qLwkn0Qk9Rs6ua4x8t/DRCKIdH1nXhmFTMoqz1t47p+jH26+c2ZbcKBX05E48oon90sHjZzZhXVVV5Y/uHlUKuQLhRJrJ2+fAWMYzHqRT6lUXFlZQaoscb4fj7N3wWFgqA8mDuro0DwdeNrjemSHtD27A5b1wu20Lz6lbPpLRWjDrEZRA1F+u4PFJefuPnj9k4Xj7K07apLYRWIzETqqRXQFQFBLTs1639djdXyKn4eLVfeu4ZVTVoXuSxBq0aKlA/xPW+W86fY4rWGw8DJ5cbTel7n6biNJ4nIDEzNBdpyyIhf//gg1QOdi0PsNnasvbJKQOeGWi5Os3yaQOmqu0vPYufVNTsvTeEmuUF4PjyWSKWyuwePw8wDKSwvvXD1qZcqxtdCrKculkEkA4lPziwty1CqVUtX4tn8Sn3nqyuOrdxJ9BgQDyEmPi7x7SSHvkK+OQi67emrXw4s/D/bkThzmKhVXZqfHZ6VGN3S4s/7TgbeevOtofpXDwOezsXgSOvu5HtQH6fmITu/cXS+FqNRVq6KFXI7XVMteg+Licrnb9xTyldbgurX8YrajdC9XKLfsOncvMvmXb97p9ugKgIEOKqqfb96003nN0qTVH0/eczSstFxDh/8UBAKU/+VSMy1aXn/+pzNYb7o9TquUxFFK456kODjGnEw3HGEYGVYc98DRkMwVZBAA6FkBQEY44s7CZwZPnE0dPp8ZF56dVw6884pX3jpu3gEX9l13cdTwWS4UiqsllGlz3pNJxRQKBcD5g1sG9rZysrcD4OFsBSA9uyDAc8yUoPcMubyqqpqk1GwQCHGpFT5Dpk4Z49swVGL0HScj5Zk9t3wC59g5e7exnrSEiKd3Tw3zdzTQr99injMp4NTVGHsXHwBCQfWZg9uT+Lnj1i7y93FcueVwBzTaW2HxJPx0Aiw6HC26PEanOX8f/Bro2OTlVW7Zcj8oaIKHB+fhw8zS0prvvrtUpyv2/feX6zTDTPRkfW1aHSk2KefPIzc/nD/Gya5HCq7VakSmYHRjoWF0Qo5coVCr/RxshAb6UoCw4Ys5KzYe3PTVPBpVk8PBfwMDLipqYPLyd721aNHSQf6nM1hhYWGDB3ejbOOrQsGxzGf7pJ75rpRibSbPLnh8ldF/Tno+X65rhTPLUZIMfpY8P05cK1Tkx1U5TCj+9xDb992B87e86oW3BYFAAFHz2zW/uNLStpewtjo14XFpYVZuRsK0BatjUpp5EnNYzOQnt3S4PAAjp30Mw8Ekk6HT3/vWwdW3aTd7Z7/o5CIyCYLqtrx1Yx7fKEy6MiPY10C/cReGRqWMH+Z+5fCGP7f98vN3Jw04ioCBfv4+jgBYTHpVjbDLzx0fTcWhG+C//HrzRgrK8OVuPE2DWo0fjoBdLwmxcuUZKjVXqWQBiIrK3bLl+pAhTi4uJrt23W7QDHN31XwqQq5Q/rL38s17cT+uebuHoisAJ29j4qCGwrXSMn6ZVJfnOOqPw+LQqTl1jQw69fPFk9ZtP95DS3pVUMlQdUC9VosWLd3D/24GSygUstnsN9cepzVun/+9oijdLfegt7mdnjQ/jT3EmxFdnnGdYmosL4ymWjjg1o+gcShcEyjFwqTwMiWb1H/pv48eUKMeOTBFrlO+I5Jf13cFQcMPSy5XJGRU2Lk63Dy+2dXO2IJNfhR2ePq73xpbe5ZXVBnw6q0AjQ31hvXD04dXhoyea2JuY9KK2qeTRz/HXn3FIgGT1Wr9SnLs/eK0O6MGazgbwWYxJo7wLufTjpyzHDW4cYTpY/ufuPhwYZfdA4kEfDoTW45g7VvddTTs8E18NhtXHuHQDbwTjGeyn3VKY6dP3756dSiAvLzKBl2xIUOc6jTDWCwqnjuW9zg6/eDp8KULx9q2ZkrYTRCJeGaRdOVWFI+rY2Y1UEfPcMqYk0RiY+GdmbHe1GD/n/de+r+3g1sZ6A3nVjToNBD/a3/ftGh5g/jfzWCdOnVq0qTXy27vxVHJhL0jl/qKb7MZVNuQPzP1hjwtUhJ6z7dAabFal8XlQiyAUgYKDVQWpdcorvtgW7+hlvFbp1kVTexv6lR4NHN7v/LH/7zq56EZoVAiELTMA6VmFnj2H5ebdGdSkK+zg4W9jYmHg0HMoxu2zj4pmcUN3fIKy8OfFvUb0v5PnEAgtBFdnT+0TZR/T2N01YBYQqLTmmUOHGxMMnKKW+vfIdgMjO+P8/dfaJAW1IpxLw5bDuP381CrwdPB3JHYshhNRNXrlMbI5KRffy1Xqwnz5vV7+DDr8uUEc3PdAQPsb9xICg1teRZSJJZu/O1MREz69jVv9XR0BWDiIJwOB5CdW3wt7EGFjOvee/CD60eGD2gpt+HrYWdurH/84oOeXuFL5EYkth/D9mPYfBhbj2LbUVy4j4JybD2KqlosfoPtv7Ro+Q/wuuYqup833R5HI0QyVTn9hOjYYpbzCIq+bamMyCNWFiZEWgS8nZVc5iVJQ00BQALLADIR3ILxcC+ZWAQWF3kRkIspAQvteQ6ZxzfpeE2j0ujtz9ezTAhdEX75gFSQFuDnoKdbf1LPyc786uMHBHKjTrqTrdnF+3Fe/UZkpdievZ1VVVE6cYR7SXmVZ//g8KuH3HsHmlk7dm0BORkJRmypj0c7t5ubiJPSW9a+WFsYZuWVvlDA4eeC7w5gbP96efcXJCkHf1/F+AH4v2nIL9M45vo1I0A3AnDmzJK4OISFzQkNxbRpPgCYTCqeaYZBXNBwy6WwJ5dvPf1yyWRzk1ckhUAiwt8Na/amDPP96Ksdto69REIBUVFFpWqw4pka7L9p55mImPQ+Xg49v9L2qRHir0sw1sOcES3bfz6FKgGsTfDJjGaXnqYh7AnemwB2m84BWrRo6X7+RwOs/5o9TgNEip77GJ2PrpEMnfOvbXOll+SUl5Nc+5SBZ8asVBfnE/xmoSgRgUsBQC6GYyD0bSEogXUfAJBLCE8OGQVMv3Bk+5T5K17tU3keJoszatoSuUx66eD6iSPqK9ApFLJSXOXoNTQy9pGfpwMApVrNLy+6eWHf8HFvARDUVN4/t93bzfLkmT0kgpxCpXU5wIq+f2FsgF273YhEtYdLTWKajptjTUPjjHED9hwNW/7ehK5NXY+vMxKz4dH+GlqiUOLEbRhyEdgbZ8LBFyC7CJ/Nhj4HAOxb+V0QpEJUf3LTwxzXBMY7fxK/P6+aQCBA0qSbUgiguKxq2x/nA/q6/vLNgk4v7+Uywk8WnU4rV9o69gJw7cSvI/o5tdb38/cnfr7hH1MjPQtTXg8usU3EUiRmg0nHoRtYPgtn7yK9AA7m9Zd2ncP/s3feYVFcXRh/t1e20HvviBSlqIgFFQvYe2/RGE1MjJrYNcbEWBJN9DMm0VhiL7FXLIiIiiJIld57Wcr29v0BItIErEn29+TJw87cuXNnXJgz957zvjQKOlmBRsEgn8bHetjBo4Nfbw0aNLxZ/qMB1r/DHqeoIJtKpR3Zvc7dp3f3gOcvsgQCSc8BgCjpElNdyfCelxp7vJOx3KTr8MrSszwdazgPgVwMCgNVRQCgbQ7t59oBCjGIFC0Te5/qpxl/jLaaffK9XFfrUKg0EF8oa1TViChMHUs7t1S57OztKKJaJpEqmGw+iUh6cPsMncF28+knVjK4WiwqjTZq+mq+zgvV/qL8zPs3TwZP+IL4qlQ8hUIecfOUNktBblvS3pC+BUfPmTUMsLR57OLmtAPagUKJe7FYNrmt7Suq8TARBeUor4RKjaE9kFuCDQcxyh9ZRehiXxddtYLkpWXNyWMS+yzhiFlViwJfmt1UqdRHz4WnZhau/Gw0p8HEiUwmF0ukXA67rQN+Q6RnFT52choyagGA3Iwkfa6C3bIRJIFA+ObLcUs2HNy8YgqD/j5lSuauE6SmV5YUV7k6G0pk3CP7JlH7fAIi4aerBtMsO61eH6Krw/psXh/tH0aASIRC+dO229NIjtrKJ+9xzBo0aGiF/2iA9Y+2x7l1cV9NeT6JoMrLySyvrJ42pm9aVnLYtePdegZmJ0WyVRX60kx0X8JFlUJN8Bk4Qx0wlkCmpf/kp9d/DniGyI1C0nVwjEBjoyAOlXnoMrGuawoDNSUATBw7p8TdfJ8X2QpPnpSXFQF1cxIFheWCsqI9Py02NDTy9BtWWpTt7hu467s5lnbuFVnhXFO9M3tDq6prDv6d3ydoasPoCsD9mye9nTiHfvm8z/AFppYOLZ0wMyX24Y3Dfl0sjZ1abNOIMgFVm/dcTIvC7T4i8sbVuTR+ul3faykJW7797oaDg96YUe20ECitxAYHKF+liZWWj7NhUKmhw4GnPbo4QJdbt8veDH09AcClIwbAXBpl7OTI0gfDdxUTxwbl6PBlAELu5n+y/PGOb90nDm8soFpcKjhw8razo725EdvV0YJCae2vjURKyi+i3wzXzylgeLgIhgfmd2CEAMIfJavZNmM+XlD7kc3TTskSuDmKWzHbZtCpKz8btWLTka2rpr6+AWWH2b1r3I07eXfvpq5ZEzRp0p4FSy+SycR164LZHBaRrw0qjaXNIXJ49yIL9u2LcHIyZGtziFVSRD3FkxTI5NDlYfo78gLXoEFDW/gvBlhxcXH/XHuchOgwtrq4T297AGlZ/NMX79LDHiQUil34IU+yzjtKn1QwrVKLMswdxxh8fAMkGggEApWdEH0XToOpagnOfw1xFQZ8BXEVEq7AoR8eHwOZBrdRKIhF/EW41BVVEUlEmUREpX9wKqy3f1nvZWRaIajm87QAONiaOpjo/X6iQi6TEInE7LQ4obBSJBJZ2rsmPgnR1ZYE9nQMux9n6DjA1tmrcV8qhZG+tp2VUWFuarMBllwmvf73bh6tesxgz3Y9ejlsRVXNc40lArmnv2NkdLmg2lSpvFlYhoiHuQMGecyc+zedTtmyZfShQw/i4wscHQ2jorKdnAy/+KJfWlrJhg2Xavdu3Hhl9eqgOXMO7t077ftvwpfNaPl3NuQRIp/B0hDzRzbVMX996CTS2m5u6JaRksE+eNoiv0j64MmfejrG4X+P3LzbcYB/bG2zqhpRemZhWaVIKlOYmlv6Dll/51bmpd8fCcrVbKazUkUkkdQAau8mna4US0gAaFSViaG4p3epg0315VuGG//n+PUnSe0d4ZP4TJaRl7tv/9qPKpXq7tVDpgZsOoPW+oGGerypo3pt2X1+ycevt4bbYRTKhuKoBAJh1qweJSXVhw49TEoqDArqDODp03yxWL5/f0Tv3vYsFu3ChadB/gY8OhVzh4JGwalQJGY1LFDQoEHD++W/GGCdPn36n2uPE//49uj+jrU/F5WUTxDVaJWV9LMkWjh5EqECYYDWsxAhh5AffcWyb51cu1qtin9wcUxfe9zbDZYOhv4AAHzAyBUEAqy6oyAO4krkRKHf1/UnYnC1CzOemju9yi/v3SKXy65QaoJjY7hpcXxjXcgUAEAmDRDLHvt2NbZwGO/cFUDnrgG6+iZTP9uanZ548+F1t57TG8ZPty78WVWaSyKTS0tKqquNxDJVxJl9rl370F6OJnPSE+9d2z+ghwOf1+50vZIyKoP+opAwIMAxPDw1M7PCw8P0woUnIpFMIpHPmdPzwIH7168nxsTk9unjcO1aQu2DUypV5OUJ6vemphbfvJl05Ur8nTsphUVCgNvM+apF+OkEAjyxbFJ7h9oBbCyquVrnyyqKTu0eoqutBch1+LJVW1zUaqRmEvIKU0xM7ekMFpVGJ1NoOYLCLl11LGwMaoQZg3rf8vF89czxoD6Fj57yyxvOAraNvMKKIYEv8sGfRFx1NiVbW3Rq5ZB63F0sM3OLj54LHz/0fdhxnr2Lj/oDNfUb7O0NqFTy48fZjRrOnu336FHWzp23bW31QafCq+6vAayNkVeiCbA0aPhw+M8FWP9ce5zigqxbF/bam7Hrp1K6u9ngj91YOdUq5gxExnh2DXQtmHgw08IKMp5aAgDUalXo/+YMUd7FdSW8JkOvQbZv/ZSMoQtiz0Ehh1gARp1wFNtr2OO0Zx9agEUmk3X0jKsH+oXlJY0P9iESCZArQCFbAHpiyY2zvwdPXATAwNgSQGL03eS4e4Gj5tMZrPoeslLj6IqCPgFOAMIeKvccv+XYyXvO0m1lJQUGxhYkEhmAWq2+dWEfUeov7XYAACAASURBVJIzdnCXDqwZiSWkP45abVsTU7/Fz8922bK/u3WzHjp04rx5v48cOeLSpVgajSKTKZRKFQBfX2tzc+3aB2e3btYN9wYGumzYcGnVqiGrV59b9nEnqKrQ0BZQocSRGygsw6cjwX8Xst2PY9P3n7w9aXjPGWNfuCB8Ne9Z7Q9qtbqsogrqIrlSKZPJlQpltVBaUS3xd9Ht70HS5rU1kdzNufKvv80/m9EOjyCFQiGoltT/e8U8DMlPDu/SrzU5/kYMD/Tetufi/ahkX88Wk+LfFim5oFLw/JdSrVaPHLmLz2dt2DBs+/aXFusvXYorLxfy+UxyvQP32btIyQWBgE/+bbozGjT8o/nPBVghISG9e/d+36PoCE8f3jDVpTpYG0mlMlpRBf46h9QYzB0LSRWghrgCQzcidAcMnQml6Q7l10oeHtLzniSTSnRQyHTuBbu+IADCCrB1AajV6qIL2yRyJUtVzbXzpLoNw4XlEJXXBVhhOzlZD5zJ5gia9p4v+2UIBOL0Bd+eObhp4KhProb+NaiPOxpk9hQV5BTkpHK1DZgsLQBikbCqoqy0KLd++kqpVERcPzRuiGftx57eju5OZuFRaQl39j6JfSYSSb28enu497kdfqarE8/CpLFyUhs5cMrii9kptQthtTCZVDabNnCgS//+rlLp+oAAx5s3k8rLhRkZZZGRmbVt6h+cDAZFpVLX7/3884Dly8/MmNF9xYozvd36YNOv8HFGH4+6rr//CxP61ZWYvWUKiit++fOys53p9rUzWoo7CQSCrnZzc2ztZGj//J//tDlxgTwmSNHGQ66FxQ8av6j+o0opV6pUmdmFTxLzyBQqiaA0NeDaWRsz6K0tF34+a8iqLUeNDbTNTZqXp38r5JXAWBdAQIBjQIAjgEOHZslkCiKRSCYTf/11EoAdOybUtl2zJkggEHG5DAKBAGkZziVALMPif3zJjgYN/z7+cwHWzZs3N2zY8L5H0RH6DZuZmRIXGh2amfx4nr87klMxkoXCi7D/BN3noDRVeWldqYhEKSrQLk7iK+RF4VvhPYlGZ6ZQOutGnxNFP6b7jpfdP8zU1is1C0jMEnbvupB+e3WZnjvXxh8AVCpoW0CtRlkGMh9ApeArstUqFaEFg5r3hZ6h6UdLfgZQlN8tKTXF0bbOoU8skXo6GT65tQ+AREFSgUJRVtq4+NRHVxVlxTfP7+vubtowONDSYg3s1RmAi73xzr3nuDUZETN2SMcNgJrX4RGmZ7OszRsLooaG1q1KL1gQ6OtrMnCgS2WlmMtliMVyBoOClx+cmzaNarg3L+8HAOXlP0GUi68nYcvRFwEWk/4OoiuxRPa/A1clUvmy+SO03pXA0uQRKQMmaAslUZOGmbeeIA9AJJYQmUY6ei9uhUe3QS6efeKjwwaMn8pic+Qy6b5flhOIRFfHVyyirf58zNINB9cvHs9mvTUpOJUaodGISUOpAJ+PwcFr+Gw0oAZeBOVUam29qrrp0TwuAwDUauQUIaMA4/q+rXFq0KDhNfhvBVhCoVBLS+vDt8eJiwpjsDg1lWVG5nb6hnX2xiqVKi3xgaS6eGZ8BBIfYIIvFFEYsh5qFR7sg8uQ1KR0W1KcMO4sVEqZUs2tSamMOc11G+nXK0h96YrRlFPPYiOcPrlTfG4JhcAbPXvp7Yv7bXt97mj8/E2dbw5BHlJDwdRG/6+QFq7OjMrNSjKz6uBEzlslKzU2NS68f/cX+pA6fK4O/8XciVKlEgrFkWl1/n1PIq4Up4X387JpSTVAh891tLeJKlMNs3CRBc66f+uQhWkHRUFHDsxb95Nz7QzWlFFZFi9X7I0ZM+bUqVOzZs3ichkAaqOrWni8FyvXTfe+gEpBpRBcFhIy37YDtFqtPnnpftjDxM9nDbE2N3ir52qENo+4edWjfRdm0ug/juzfmUZrTUOhtExgZOHSaCOVRvfwqUt4Dw85PrCHjZnJq/9NKWTS8gUjV205unXVNCLxDRUVqtV4kgKFEnQq7saiUog+Hpg/HAVl2HIUAV3ApKHwWrOHhuTk9zN7ngUokmLrUXjYYaAPVCrQKOiw/5IGDRreMv+tAOv06dPDhn3o9hFpz2Junv21r58Hj01Pu38/rAJcbX06U4tIohqxBAEeroiJweTBMNRGkSMuroacBDN/SKpMxQm3ib7+djKUpdIqskUyQlnEPq7bSH17H7B3QdfCo48FAPPxuwCoVKrywmTTzh4vTtzzE2RGwH00KAwAMHQhmUTKT01VLLxHprxPfaBmib5/hUJUKpSqlhqQiMRrd5MGTVymVCokYlF2wp1hAzxb73NscPfSMoGCS1Ad+TGqZIyPO8HCRNSBsfl4lPt4lAMQisjb9tjZWAjHDj1PJNZNRdjQ8ceTy8jTA1BYQjtxwVgkJjl2jw7qzCK98nGuVgGALhdpeQiPQ1oeNn3cgRG2kXuPn9Umff+8bubbO0tLSCSytCwRkcTVNrAqragyMWxxzS7kbrxQyeo9xLWlBmUl+fdDL+gGeJm1bbJPT4czZ1L/H3adWTZ/RAdG3phqEb4/hD4eoJJRLcLUwBcy6+YG2Di3lUNjSyvW3o8pEUkmOFgDwMNEDPZFl9pJ2Q/9RVGDhv84/60A68O3x1Eo5Fy+nqmNm74OV1+Pb2FqmF9UQSSoSaTqsMgUS3drAPh0HDYdxqppMHACywR/PgU/AsO5rB5TAmLPolgGlULtNTX2TrgNWQkABBJMGis+F+Vnmus1XetRI+ZvdJ2ImJPIfEiuKbFUqVN/7sXQMTOdfIBA/oDMc4ImfKFSqa4d/mZI3xazmPW12TdObCKTCFKZItC/8fRGs+jq8DCoG9btmzODeOue3vQxma8zSBZTseLTxLCHuqs22TEZSjJZpVQS6DSVSml24rwwJcOVRFJPH5MlUNYM/ZZ+0phx4OuqNqXU93LD/J9weA2oZJDfylP2WVr+70dCHKyNt62Z8cZmcdrDwyfZm3931TP26t99nwlHZPJ8HrcpGdmFXJMu/fyDWulNrVL7ejo5OZi30qYRTrYm2XlWe4/dnPk6C3Dl1fjzEmRyfDURXNar2zfBVZe/sUcXP+PnE2/5pS9WhzVo0PBh8x8KsPLz801M3kUu8OuQl5W875cVPG09kntd+Z6xAb/2h5EDvQCAzASDh4njcfwB+nmB2hPTfMDWAp0MOg2dp0DfDrHnVE6jrEsVur0W1PdcU11x9Ld1Y2ev5nC1AWhztYRpl+Hh+NLpmbrIO4OydKjkYOlCISPq2dh3nSwM25PxS4D13DNg6r2T2/BqSCQyiQQVobWpNX+ftuqCNqa3e+GVLEP7N1OU19O7tKd3af1HQRXlamj/62EXN37NqpUhMAB591f57AqHpd91/mFZbP1cV4uY6GHqQOw6gy/HvZERNqS0vPp/B66ymLQNSyfQqG9eTOuVKBSKK7czNu3uMW10RM+u8Yb6fI5Wi7WHarU6MjZ75OzWJoEA6BqYVAhBamc2YWAv9537r9yOiO/drU3ReWPEUvx4DMsm4/VyuV5EVwAuPUB6PjILsWIKjt4AlQKlCj5O6NWOYkkNGjS8G/5DAdaxY8cmTJjwvkfxCixsXBau+f34H9/eicz06Wxm3NQxl2747c7C0NASFsvKIFn23Xdf6ujUvRlPnrx3796PqVQyrEYsXHBk2bIffjr8aNo0a21tFgC2Ft/NxbqyorQ2wKJp6anYppW5aVxTmxedp4Zi6A/1leJQSkGmA2AFLiYmP8s6Ot9i5vF3cBPaDoHMiklI53GYFqbt0eXXsgOjVWmrMb2ebpQN86dDv0GIVnyn2Yzj9sLjyMcFyx/H5jYUeeptagjTSpUy9/AZs8kjG0sfNcNIf/x+4c0KSwqqhLsOXgPw+ewhnPdkFSyVyS+EPP3r4vRPphwfP9Sp9cZV1cKLoUl+A2eSya8OBMm0jjj2zJ82cOXmI6ZGOraW7TR+UCix6Qg+HfWa0dVLFJbDkI8vx2HRDoTG4ONh4GshNh2JWcgogJVR0yNEEilLKn1jA9CgQUN7+A8FWMXFxf8IexwOV8fU3EZcXaJGiwlGX30V2K+f0759944ejSQQMGmSz7NnRYWFVQsWHK2116htxmbT9u+PKCysqq6WrF0bXCGkeFm+EPixGrFB8FsfkWMPmaCYZ2gKti5EFS/EsQgENFgTtLR3uFtYoXz2oRifCWuqrp7aQSKSwh6mkEnQ5bNHDenRRs2qr795nJB6l8djqlTqgwebURxYsOAIlzv8wNH7H33kXRueAgCBAPUbCLBq8fWwj4xJ9XKzbbjRy608Moa/frvTys8SX30pMwfjr2u4/QRzh+H1VvGEIulvh68XlVQunDXYSJ//Ol29JqH34wtln/b0uTm0/6vNfK6HJ4+auYZKa2ME08F/uzVfjF30zb71i8fzOG1e4ysow64zmDkEBq9xM7VsQX057UyQh23+YDGw3gr1y51uLtAtAZuJWhuoGjFKBCASYWEgqKyKiN4zzKqJIbQGDRreCf+VACsmJsbNze19j+LVKJWK/Oy04rykKaN6v3JFo2dPu/XrL5LJxNGju+TnC0QiWb29Rm2Dx4+zRSLZ3Ln+WVll588/nT59TsPDKbq2qgkXyi99LhZW8cxskfUQ/Za2eDJRmR8r/ULECUF5xWtf5RsgPiq0WycdI30dwAbAzfCnx8+HjQ3u2cYYa/XqoC5dzH19NwqFsqoq8dat1ysrxZs3jz558nF8fEFZWQ2VSjA3pzQMTztYUtgCQwI8v9txulGARSBg/rS06Hjeys2dSCS1l1t5cL+CFrsgETFtIJ5l44fDWDwOrxIyaBaZXHHgZGhsUvbCWYPfcZFgs/Tp1mn/4uigwQqRSMFktBY5SWVyJs+ozdEVWBzdjKwCK4tmpnlah0ImrVs0bvXWYz+umkZuPeMttwTXIlFZA7UaK6a+plvRrIUR4yb1GjDAed68Q4MHuwYHd4br84pRjwbTlkzAxOmlj/oAUFNTs3LDRj//PlTqB1ehokHDf4T/SoB19uzZf4Q9zoPQcyXp91wdzAhteN9+9CjLxcU4OblIqVRVVIjQgr2Gra2eUChNSSluqk9hYOmqmHE6f4c/HAeAa4JLq9F3CZQSsJ7nWiVcQlkaasogKofvLFIVGMx3IRfeCJVKVZibkZuZICjLNzC2dvPpT6ZQlIoXXjR9e3SOjE7duS/lj2Pzp4/JnD4ms0ZINjUSt9ThunUXqFSSTKYkELBx45V+/ZySk4t+/TU0L0/Qp4/DhQvZFAqePMlqGJ7OCnyTV0SjUlQqtVyhpDR5Zru7CNxdBACOXzBdsanThqVxrXXkYI4JAfhyJ1ZNg147tLukMvm+E7czsotnjus7+4Mp9adQyBOG5hw7T58Q+IprSc3It+vUp/U2Dek5cNL5o78QiEWWZu2OI7V57PlTB2745fSaL8Y0s1utRlo+LkaATsXo3tDhtLf/Ztn8XcDwCee0tOjl5aLg4M75+YJGrwEDB7pcv55Qu+X77y9v2jTq3LkYoVB2/XoCiaQikR7a2g6KiLimUhUGBg7X138Pv7YaNPzH+U8EWP8gexw6nSmSqAz0tImkFqevCARs2HBpz55wqVRx8OCMs2dj5s07lJpawuHQ6+01du683aB9y5M6BGLp/3pyvIYBgJELOAsReRDVRZCLQKZDVA77AJTnYMDXoHFAJNvH7A2VvjuzM6lUTKMxCnJSQ8/vsjHTMzPmu5lwHkbfP5Man5361NXRwrRB/q+Xu62XOyaOCN2532bPUSseR56Zy5RISZ/NSDUzbqy2sGZNUNeuFsuXnwkLS83IKMvOLqdQSFZWunl5Al9f6+PHi+l0dWUl0CA8feNXN7C3+5XbT4L7dW2pwdig3CdxbYiZLA1hpIOi8jYGWDK54vj5e3HPcqaP7T13Uv+2D/jdwKAVS6Q+QFXrzTJyKwb1aYdlO5lMUUqrdbU7OBHpYGPs5+245+jNWeMbFBVmFODoDdAosDTCtIHgdSTNqyW0+YyPP/YfM2Z3ZORyoJnXgEuXYuu3VFVJ4uPz9+4NnzvXf9o0r/nzFy5e/PX9+4U2NnoKBeX8+aezZr0Pg0UNGv7b/CcCrOvXr/fp046X3feIZ/eBHL7ereuHPV1MXeybL01fsWLwihWD6z9OnOg9cqQHnU4BUG+vUWusUWuyAWDAAOcBA5rXC1USSCQKBQDu70WXiRDkQt8BlXnwmoS0MLgGo6YYdB4IRGQ9NPMdIPx7+xu94hZRKZV7fvpqzpdbHt05M3qwN/n59Jubk/mmHcdnTQxMyWhm+UybJ1u1MLH+o1hC+ukPu4pKqr9Pia9HOZulqPVgXrHiDI/H1NKide9uI5crjx17VFpas3ZtXam/nl6Fq6vyzJkuRkbpHfAibCM9ujqu3HyklQALAIXStsyhZZOxfj+sjFtPqZZI5ftP3s7MKZ42pvfkkf7tGu07g0ZlqNQtTj3W8vvh60KRuNY4so3cOLfXt5Mhm9Xx5P2AHq4HToXeCI8N6OEKtRrn7yEuHUsnviWlDAAjR3ocOHDfyIgLoOlrwL59EfVbevWy37nztp6e1s2bCWFhhzp3DuZwtIFCPp8pEhEkEvlbGqEGDRpa4f0EWAKB4NGjRz169HBx6VD9czu5devWd9999w5O9Eawdepi4+h5cs836TlPySS1t5uVDr/BooO8EjVpjQ6hA6gBgIoSAcfAgUxux5u0mswklz4Dm46U2xDkgGsEYxeUpeH2z1ApIalGRQ7SwjIe3ZFUl6cqzaQEcvn9Pdq+s17/ShuPRK0uLsyhUuk56fHVVRVWdm6ePn1SEh5BLSc3WNzkaLHWLJlKIZOsLFqtBAQAMOjK5QuSANy6p3fknFmNkFxZTZkxm7nR80XwGhzcudYAjsmk+vpa47nv26hRjn/84Xj3LkaOdB4wwBm5p9/4JbNZDEGVsJXsaZUKEimJTlO21OAFvi5IzoGHXbM7a4SSPcduFhZXTB/Tx+HDm7VqSHG5iE6nA63FBIamtrExUW3pLTL0bGFOkhpgUaRmHTWXrGfqqF5rfjxmpsW0P3EbI3pi6EvTQmKJVKVSU6kUCplUUiYoKhbY25hQX0PqgkB4Ed7PmdOz0WtAwy2+vtbTp+/79dcJS5d+1bnzoKwsab3HpQYNGt4XBPWbK4xqO7/99ptSqdTS0oqJiRk1apSvr+/bO5dQKNy+ffvy5cvf3ineEnGPb6fEP5TXFI4N7t6W9pcyc09FJmz/eCu7uTQplUpFbC5rXvwtl2FgBkEuJEIQAbYBzDwhyINcAr45yHSIyyAToe9ShP+qTAv/KIS/baYXZ9r51728BlSUFYVdPUKmMMpL8shUCp2sIqkVhnosS1Pd5IyiG3eiRjtZOw96M8VQSiVh0XrPH1al0mmNizSzq6v5NLrWy0/EtVPUaw8SAEBR/UYG0JC0rKLbEfEvrTq9zLM0rRvh+p9MbRxSN0atxnd/Ye5Q6DY2Wq6qEe89djMrt2T+tIHt1hp4H6RlFMxZZnJpv6Qlb5yyispHKfLQkLPf7brcSj9qtUomk/72w6csFn3qqJ7k5gyyVEpVw7X46hpRRFSqTElUKuQUMkmlUlAoZCadoq/NtjAzoNOoAJRK1aLPtq/q11V3RM/6A+OTsxPSyrR0TJksrqAsTyWX6JrYG5k7RoX97WavY9+cgMKr0fEB86U5bJFIBoDJpDa7RSaTLV68eNGiRXy+Qb2L5fbt27W1tT9wdWUNGv6tvLclQhKJNHny5AkTJhw/fvzEiROBgYH9+/d/G8sxp06dGjp06Bvv9m3z6O55tSAhyM+CQrFu4yE51cISqYzUnK2NtCDuyOFdfHVl/9lbmFw9gAACEUBR6C6WUoHCJJBpIFGhlEBSBZUSPDOIK5AXjW6zcfd/YPCQeAWVBSSXQYb370fygt9gUnRhbnppcY6dixeJTIm5m9HPx4rPexEg6unw3J0tKL+cxhsKsEgk9cRhGddvMRsV6Anliq9Dw+14nHW+Lylli8pISpGCRH0rC4U2FgZ/HAlppYGDTfX+kxZSGZFGbVGzAwC2ncTwno2iq5z8sj+P3yISCR9N7GfQJPD6YKkRO2jzGDRaUUsNHkanO/tNVqpafDOUy2Uhf++W1RQqwJzz1S/n9q0jEAgZWQX5JVUAPFwsausTH0anZJeoqWQ1lGIOmyqoltI5xj2Cv9DivNBWkIiFMpm0IDvtTuxjqaharZIToO41wG/+7tMTeIYqlRoAkUi0c+0xJqBn05HYOLg9uHXmws1HgT07teZXHZOKZzkgEaFUQSxFTzfcikLs7+jtA3tT2JhAiwmgLoe0QZxfUV2jy2SgmiSTK5Z+s/vLuaMtGBmQZEACBoD4IiQ9RvcPesJSg4Z/Me85B4tEIk2YMGHChAl3795duXKlpaXllClT6PQ3acmSmJg4derUN9jhuyH56b2JwV3adchsF3t7sUpSJWDoNK6TIkbu9OSW27h6yLbZVPA7p7B9BGQdgrzKOecIjUIXKdVMIhkENchaIJBh4YXSDFAYqCxA+G64j0bGPTgPgstgyEVUSxlLkVcQedLIa/QbuVK1Wu3UuYdKpawqzx8z/cumDVgAPveA/svpyeJCVD/r2Bk7O1Vu22PXKMBiUchfeLiYazVeXZ35RfWiobztV2QAVCpCWhYrv4jB58o6O1V27OyNsDTTT88uakUiwd+n9HEsv3uXsha7kMpBIMDFsn7D08Ssv/6+w9VifTpjEL9DDi3vi+R0rX0nrI7ufNrsXqlUdjP8aUm5MPrepWGTm/mq1HL5+HZ/N10e1+PcrYQn965KxDUXQtNtXHo4+tmoVeobIUcgE6jUBH0Lt9Ez677DgooSLk+HQGg8xUtnsOgMFsdV28HVq+F2z6B5u3fv/v777195RT59hleUdTt96hcvZwPrZkUiSitxNRLD/UAhg0QEhYwTt9HXA1MG4EkKRMX4/TZIJMwajJfnViukss9CwrsZ6n3W2XHJtwc/nz3EQp+M6zeQXwZvJ9x9imc5sG7r65kGDRreOKS1a9e++7M+fvwYQJcuLwIIc3PzgIAAEom0c+fO+Ph4JyenNxJm5efn5+XleXt7v35X7wy1WnXj3B5LfZJhe6ruARAJhOrKGgLTlKfd2NCG5BAkCd1SHnsrTb+fM6vcesAER0Wso7MDTUtbS/BM4f8FpesYpIZh3K+gs6EGrLpDkA0De+jZwjEQmQ+gpQeWLkiU25Epk0b2Lry+S8d3WrPDuHYtwdv7+0WL+pFaLoQEcOpUFJlM1NFha3G1iUQiiURmsvkgs2r/C4vIv3A5zbubS90Wbf36XXX/KcUQ57fr/tRDIatvhOv37lbSaLsJm8luMs2ga0Upjqk+ccUiNM78zkNdkZjMYiqiYvmCKqqNhbBjA2iIjYXhob/DenRt0dVHUEUpLKE72rS8QHkuHL7O0OOp1errYU93HbwGAmHhzCG9u7kw6P8kDaTkdK19Jyw2fh1HIjWenQp7mPAgKjUxqyb5WZKBuUtxXkZK/EM7F+9GNuRqtfrejRMqYX4nBzMARcWldl0Ge/ca5ezZS9/YgsnSYrI5Dp27O3j0dfToa2b9IiWLzmC1a/qcx+PR6fRLly517dpajUItDCbbxbNPalZRxINHOjwGm/nyXzYCAXHpGOQLvha4bGgx4eMMfT5IJJjqwVgX3k4w4ONwCLxfkrZnkElsKiXQ1HD91mNfzgm2MNFDlRAXIxDojd/OY0I/DPd7EJvD4Jn8IyQANWj49/FhVRG6u7u7u7vn5OT8/PPPCoVi8uTJdnbNJ+22kWPHjk2cOPFNDe8dkP7sybnD2/gchvegbsUl5edCnvh5OzjamL76SACATK6kUGjN7pI7jiVXxPcy5SCvDACijmNkN3b+ffBNmVQ1Hh+BjR8urgTfHHRtaBnApYF7ro41GjiNEIhElUrR0hgOHLg/blzXS5fihg1z+/XXO8+eFZaXC42MuBKJYt264Pj4/H37IpycDM+cifbysly0qF8jdZ8+fRyuXIkrKxP26mWfllayYcMlOp2yZcvoAwfuv9TVV24dXvSqqqGQmzzCW2HaQiEiDmNM7/otfbsXf7zM09WxkseRFxTTrc07HmnxuaxyQWvZXTfD9WeNz2iti5Rc0SCfQ4dDnqXnD/B327xiyturfHx9snOLnqUX9Ovp1miQMjnxl302P62OaRRdSaSyuGfZCc+yJs7fXFaSn5GakJIYNevzH25fOvDz+rmdPHsEBE2j0etWz+5eO2LKLrfy71T7UYfPLMxN1W/ZKPp18PPzy8jIuHz58qBBg17ZmEAgePsP7eoXdOKPtUP8aS+KGfPLcOgaujq2ejRgbgCJrOnmPlllSz/dsczHxeRICBQqRMTB2xkAvp/TtLEGDRreMR/KDFZDuFxur169unXrdv369b1798rlcnt7+449M86dOzds2LDXGuu7pTAvIzXxKZlCvRX2KCk9z0DfgEmnGrfNcEOlUoc9zvDpO7rxvVKrU38fLSmJr9RzZ0hKmcJcPD0LlRpqJXKiYN0NKXegBghElGaAwYNjPxTGQs8ecedRVQhtS5SmwcQNRBKA2/fjLcRxFH0XLfu+gvJiEpFIUstBqlu8EAhEe/aEz5/f+7ffwsaN6/rHH3eDgzuXlQldXU2YTKpAIDpx4nHv3vYGBhw6nTJsmPuuXaF9+zoSCISHDzNSUop79bI/ffrJmjXB1dUSEonIYFC9vS1jYnIJBMLdu6kvdVVW4WDWQZO1Tbsc5k5KZzHbUJpXS34ZqoVooJpBIMDNqfLCDaO7D/UKiuh/XzHp072kw1FNdY2kukZs0tR3EhBUUUIf6A3pW9jSsQVJ2bsv3LuamhfUr8ukET1tLAw/5OgKAJfDzskr+ftyeGcny4YVdt9sd5o3JV2H3ziM+OPIDQXV0MjcIfLOcH1v2gAAIABJREFUmdzke2w2W62SpcTe47IoHI5WWlL0jUvHUxMiKTSGXCZJib7evUvdK9nTxKysMmLPAW/RftTNze3o0aPa2toGBm0SLyUQCJb2HuG3L9laGADAzSjciMK84bBvwxtUej5S8xpaT4ruxCzdcXr5ri9NBvtCXxvhsRjSDb7OeJqGKw9wNxZRKQ8ScxkmVm5eXq10rEGDhrfEhzWD1RA6nT558uRJkyZdvXr1q6++sra2njhxIofTDpXkf4o9Tj1qtfru1cNjhniZGul04PDYxEyv3uOalgrKQ1Y+K6hkeU9ztrYqurJaZ8QiAHgWgsdHQGVCJIBYAK/JEORAzwbiamQ+gIUXTsyHSglJFbiGeBYC17pCAZFYmqOw8Bu+6civyywMtciVWdqCRKiJdPsA86A1x449MjDQunYtITW1RCAQAXB3N3v0KMvOziAhIV8qVcye7ffoUdbOnbe9vS3RnLrPnj3hJiY8c3PtwsKqS5diaTSKTKZQKlWNu5J13MJWKiPq67bncDIJJYJG28xNRB9PTq/9+XyIUdhDXX+f0o6Np9Y2x9vdtumu73c6Lpmb3HS7Wq2+HRF/NTTGKK9k9sLRPNc3mWojlpDOhxh18yzXplVnPJI69WGQqASVAtIaJYOqwPVISOUY0xux6TDTB7/dEuG9u7vyeVp7jlz7bHbdy09CcgWfk2dl1sxEYICfM4FAKC7LGzvQrbJaaKDHr6oW0WgUWl1w5nX26iNtS6+T+7Yq5NLVi6cVlwqS0gtrhCK+SZeg8aNe60a0gRUrVixatGj58uX6+m2SMGVr8WQKMgDEZyCrCM1KwzfL5AG4F4fvDqJbJ/Ryr74WuWzHqdX7luvXli9QyXC1Rm1hY/2XoUaMI+HQ0mi4a9DwfvhwA6xaCATCwIEDBw4cmJeX9/vvv1dUVIwZM6aNYdOZM2eWLFnytkf4Rrh340RhVpy2gQ2bzehYdAUgs6Bq2ECPptspbuOH9N8AAAqxUloAqFGYCDoHLgORHwddG3iOwdWNqMpH8Pdg60EmxO1tYOtDJgSFgYi9CPoWCkmt9zODTlMxuSlbffv1GGdgZgE4AoEAUu9dCz32/YkT9DNnPmGzaQYGnBMnHqOJjvylS3Hl5UI+n2ltrXfs2KOm6j4TJ3pPmPBHUVHV2LFdVSp1ebkwI6OsVtTnTc3NlJbTzocYBQUUtLU/WxNEp+BeHLp3anZ/QI/i7XvtzIzFUbG8Af5FWuwW10+bhUohKxRKmVxBbZABJpGSvtvhOLR/vq72S7FgVY34+Pl7CSm53brYb1g6gfTTcbzR6Corj7n5V4eZ4zKOfSuRE3Wshnie3kXIzVfp8ElpGSQDbYVt52FUskrvkrh3Dx9djgw6/HYobQozUZMKwM3ZMuppypXbT3w97dIyi85fi/h46iDgxTc/LbOwvKK6qLxSSTHg04X+3g4A6HQqAI7WS5YM/f07RSckTRsbYGigXV0jDI8V9A3+WKVS8XXerHtk8xCJxG+//farr7768ccfabTmV+cbQyDh+iPcjMKSds6ude+E7p2w66zgXtyqzIK1+1fo1tvymOkjpxiVQjSsaWAz8BoqXBo0aHhN3psOFoA5c9qdKCCVSo8fPx4XF9epU6fRo0czGC3qMqtUqrVr137zzTevNdB3gkQs3PfTIntrIzJRZaivY29j0oFOqmpEd6JLgyYsaq2RSnH315l+WukwcoG1HygMyCUoTYGeA+7uApkMEgOGDiBSEXsGbF30nIdnN+A4CNIqXF4Pvils/db+HrrWuwIeY2HSOMyNS8oy7TKZp/2K5RKBQMTlMggEgkymoFLJTdV9qqokbDaNSCQAqKwU14v6vNSLMBPlj9pxgxoglpDuR2mfuWri7iLIyGERiWqxhDTAvyigR8t+ODVirPwD4/qiW/PSuBt+ceJxZF07V1y4YQRgYO/CHl1brvtrQsTj5JLyqqH96zKmi0rp635yWjw3uWF2V2RM6tlrkUwGbdKInhYmz+sYth7Dl+MAyBXEP49b5hXSSUTIFQSVitC9a9mQvi17RTdBqSSs2uLCZikWz02mXr+HSiFmTCpUdl669BSFQioqqvruu+G//BI2evRQV1dWaSm++CJr/Xr97t3rfgd/+ilk2rRu2tqtFi1WJaEyLiuv2FCXl5KRVyQzlomq8nMz+GzSyIEvEgayc0sS8tWuXgOYLA6Xr3t+/+ph/dzbcgmpGbkKfjdH1zej6NF28vPzd+zY0UY140cLp3TtaQefDqqeFpdWrv/55IalEznsl//6CWqw7wo+f6m2d/v+UG0Lb40OlgYN74UPfQarETQarfaPRVJS0rZt22pqakaPHu3h0cy0zfXr1/v2bVG/8YOCzmBNmLfh6qlfCQqBf7d22KvVU10junAzftTsta9oRyA5lF1HjRgeY0FhAEDKLZCoMHKF38dIvILIQ3h2HQwOeKYoy4RKgQcHYOQGeQ2YPFQV4vExlIrBtoO6mQQmZ1vTG3fO9R/+Ueuj4PHqZiBSEx/w1ZlyJvVpTI6FpZuqKtXMWPv42TvTxvcjCusmA7gARGD8cQGzg17qRdVx9w8GXdmne0nXzhUl5bQZYzNrNy7Z0NndWdA0B6gONgNb5+O389DnobkIeMWndf48Ph7lajV+O2wdHqnb37/I2a7qFRJWAIBuXexXbDpSH2DtOmi9aXksm6XA8ymr5Ix8Lzfb1Z+PaTjLhYIyGOkAUCgIi9d3/mhieieHFxZ+py+brNriQiBAoSDUjsrHo9xIXyKRkiRSIo/z0g2MTeJeu2MwbEC+j3Yidt0Fi45ZQwAcPvwwKMh17NiuOTkVUVHZJJLq1Km/z50jrV0bNGZMzpYtbF3dU05Ohl980Y/Npu3fH1FYWFVdLVm7Nri6WlJfoLBv371Jk3yePSsSleb2dsW9R2lypUqppmrrID8rYdTgbvp6L/LP7jxIktOMA0fOqJ2wjIu642Cp+8obWEtOYVVnJ/M2Nn6DGBsbjxo16pdffvn0009f2TjfqxN8bDp2ooLiiu92nP7+q0nspp5IYU/xTxCS1aDhv8M/LMCqx9HRcdmyZRKJ5OTJk0eOHLG3tx87dmzDDK1/kD1OxrPomLvHhvV2bUm6uikSqUypVBWVCLJyi9lMhoWZrppAotFe4bNW8PC40DJAz9kJBXHgGuPZNaTfRd/FUEhBpoGlBxobKgV0rKFWwbwrHvyFwesQ+zcIZPT6FJdWw9AFdnx09kLcBZCo4BiB9XxZJ+x/xMIEKn9S2y88M+mxkbv2F6F3VCU1XaMircwMr1zPHxfszyDJoWjw+FepkZ8DRU3be24LWmxFw7W8VQsTv9/h0MmhavzQnKYyAQBAIuKjIGw6jOWvmA8gEDB3UnpxKe1upO7lW4blAuqnM1ItTBobTjeCo1Vnm3PuurGBrpTFlN95kHjldjSbRZ84vOfsCc1puz5JqfXG2fg/xwXTU+2sXrpFIwfljRyUB0CpJETF8QAcO2+WlcvkaMlZDGW5gMpkKGtEJLmcSKcpOzlUWZsLfcwzseMyFo6u9y1+8CBj7NjRAMzM+GZm/MuX40aMcBcIxOfOPY2OzhKJBEVFAQMGlEilisePs0Ui2dy5/llZZefPP7Wz058zp+eBA/evX0+MisoePbpLfr6gqqi6wqyaQKIOGvPJ/p+XMRkUAwvX1KxiNptJIZPlCkX4oxRTl0AntzrrArlMGh95edzgtgrCVYoIOnodkk1/bbp06ZKZmXn27NlXVtWo5B2sOc3MLdn2x4XNK6bSaU0W/m48hkKJEc2InWrQoOF98U8NsGqpTYQHkJ2d/eeffxYUFPTo0WPQoEFSqZTD4TTrDPMBUpyfTqdRcgtKispqiotLh/T3pbSa1HLhRjRD25JEpirkDK6Jr6GZTdKzxwHDXjFvlJ+VkhlxtNvwsSBRAAIA2PVD5kPc+gl0NrQMACDgy1UnrALdzPy6mYJEAY0NcSU6zQOZCpUS0wPA0kXC93D5GDaTwu5mPL1bMv8jL6iVUCkw9C8Fmemtaus3SqVUSqoL+UzjRe4ulhwWXalKSs11c7aybCS5qVLjh0MY8dadiTls+fdfxx04afHLn7afz05pvhGZBEbb8mwAfV1pbXwjkxOX/9Bpy8rmxTPrGRfc49j5B4XFC0wMk6Wys4u+Kene1eGbL8eRW/kyWBnhQaLS3lKuIDSKrhpCIqm93CoA1P6/FpWKIFcQALw0wTZzF4x1sPcieFqY3B90BAW5RkZmmpry4+Pza5PqPD3No6NzysuFABYutIyMzFm0SOHvX2fPbGurJxRKU1KKGxYoEAgEpVJVUSESCcX3EmqGT19JZ7A+X/cnmUzZvHxykZZWxOMUOyd3Fofn1G2CqdULzYJLx7YN6vkqCYPnJKXmgtTWf523wahRozZt2vTkyZNm59RrKSnK1eN1ZJAJKbn7TtzasnJq898HGxPsuwypHE7mcGumWkKDBg3vnn92gFWPubn5woULVSrV7du3V69enZycPH369Pc9qLbi02dkeWn3k/s2U4nSYf27NI2uElNy84oqA3o4X7sTJwPT2XuEjfNL7/Rmli3KVKrV6uwrPzwulOpySH4jJhKUUiTfgLkXABCJcBkMhRS6tniwF5bdYOgCGhlcM2jbAkhLK9m69QGNRl67NvjIkScZGaXV1RIWCxk50k2bbpWVCU1N+Z98FVrX4K/I2gZr1wbr67+6cCn8xglvVzMA3oZ1C0DeHs1dRbUIUnnD6vS3ytTRWQdPW2z9zf7LOc3U7gFAtRi7zsBEr5HRbytQKar+PYt+/N3+81kpRGKLKY8Sie73O5MG9lprqM+fNrp3mxTYnSwQlfzwpKhh5NRGiEQ1jfryYPZfwbAeGOYHABkF+O4vzJsxYkTwsGH/O3TooUym2L593A8/XG1YanDjRpJcrtTV5YWE0JVKEhoUIjQsUOjTx2HevEOpqSUzpjoNGVe3iBYecurW5WNiUY2pufWg0WMt7RoXEIiEVVTUcLTapER/4148z9R7+JRXS1K9VZYsWbJkyRJDQ0Mjo+Yn0p4+vN7Vvt1Jlg+epFy8GbXx68m1iYnNYGmItTOQW4LjN6HHh3EHC2U0aNDwBvmHJbm3kS+//NLd3T0xMVFfX3/MmDEmJh1JG3+XxD6+HXrpLyMTi4cRdz79aJSp0YukE5VSdeveU7JOp4rCDK/eo0ws7NvYZ2VpfuVfo4jyGo4WnQMhqAwIS8ExBt8CrsEgN3mNvv8nfGes+o0cGNjJz88WwEcfHVyzJujhw8ySkuonT3KmTPHNyio7dmw3h9Njw4bhp05FLVp0IidnY6MGYrF81qxXBB8FednRN38f1LsuTT4qjhd6X0+thlxBlEhIMjlxxthMW8saAIjPwKk7WN28avybh+MMEu3SVWbYPYZ3V4l/D4mOthKVQqTmgUyCqzUePYO2FggEEAl1VVosBshECCWQycHXgjALsvKmHUfH8/Ycs9z4dRyL+WJdUq4g7j9hGBL+OCcvjs9leHYqmj7WrxXbnGZQqQXfnmN8PaItmV6vYOMhfN1ghVetxq0sTFsMoLpaoqXVvLNCbcnCypUElQpWVmj4O92wQEEikdPpFJlUQqW96EciFtIZLcZPoVf+6mQs1eG/WlA2K684X2jQLeCtizK0BbFYvHjx4s2bNzOZzEa7qqsqQo5vHhHo2a4Ob96Li3icvOLTkW1qLZTgt3NQqjDAC51tNEnuGjS8R/4lM1gNyc/Pt7Kyqv2bUlRUdPLkyby8PGtr6xEjRujofKAvdq5denfy9N+98ZMhA3pUVNYYGWgLKqvLyqriUovVJIa1s7+H74D29Zge8vepExMDJ1L5RgBQnAwmD3QuyDQUxCHrAWz8AaCqEFp6IJDw7BryY3DnF6g/r++jqKjK2JhnYsJLTCzA89UfhUJZViaslaoC0LRBSkrLtXgAALVa/c2y+/ra4xUKQUExIzWT5eEimD4m62G0dthDXTJZpVapl0znO/JE401C3PpTseLdPR62/pZ+8XKyoSGnpEQydPTHW38ls9lwc8OQIc+LD/q+WH/Jz0dhITxrH5f1QveyCpTk4FokKGT4uUKXi9N3YGno7mm/6rPEHfttvpr3DIBSqbp9P377njwdvuKLWQ4+Hv0BVFQK/zhyY8nHzXmTZxTgWiSqhCCTIZFhlH+d8CkBPGcuVu7Epnmve/GNMnsIBARYY/NnYDG1BvuguvmCfx7wOKNkw3w9AAtXu8y7S3QxL+3qWOJLeMiVyDHIhwGgAnSgoKCkWGXu5vUimayV6ApARWG6jsuLUruqGlFmVqGBHs9Av7Eia1R8wfCZH7fvYt8aDAZj1apVK1eu3Lp1ayNhkcjQM/26tzjZ3Cx/X3lYUFzR1ugKAIuOL8ZCrcYPhyHuuFacBg0aXp9/YYB19OjRenscAwOD+fPnA0hPT//zzz/LyspsbW1HjBihrd2Mavb7hUAg9ho8jc3VqaksvRwRqa1nrGPQObhHZwq1Q2klLD0HjpzK5iL1NioL0CkYAMg0KKSIOg7/T1DwFNrWyI1CcTK0DJAbjU5DoO+IJMKqVWd1ddmdO5uOH+81deqfYrHs++9H/PhjSP3Tol6qqnt3m2YbtM6DeykKuambc5WxgcTduTIhRWv/SYv0bDaRqF44M0VPR4oqIQhnlYsn/Xb4ozsVhAXE1HepTb5oUb+goM6ffnpUociwsiqMiSkuK/PeuTPB0rJsy5bRBQWVGzdeYTKpQ4e6JSUVJiX5PX1aYmlZbW+vX+f5s9yGL5XhTgzmDcPfYSithB4XFdXwtNfXlRaVkC/fSrz3OEYmJ9x/PHLYwOGLZqfVn5rPZZVWVKnV6sZ38rfzYNIwIQAcFgCo1Nh9DpceQCxFQgYsDdGnfZMijVGq8OclODSpv1OrMN4fCZn4YR98nBHQTLJ5RlXN12ERc10dRttabF/zWCIlxSRwz4dYxJroOd8/YcIXcGy1hGKKmbGIq0VJSMps44iENVUsqjIqLiOzQEilUpVyqZrE8OgxNOZpuF5JpkcDZ2sAZCqjqU/ze8TQ0HDKlClbt25dvHhxw+2C0lwtd6eWjmrK74dDuBzmJ1MD2z0CAgFfT8LJ23iWDYt/khOrBg3/Jv6FS4TLly9vpX4wNTX1zJkzZWVlNjY2Q4cObaP+8j+P8tTiM4vkNUUkPWt19iMlRUtBZRt7DaA+PQ5pDYhklGdBrQKZjol7cGaJynkQUccCenYwHYnnz6qSEjCZUiaT2vB5v3bt2rVr19ZLVQmFjRu0jqCssLqyXKGQZaSb3b5DUyjg1102OLDJq3ZROcgk6HBP/k0nkzHcLxxKyZu4L69g61H6+YvP9PW1mEzqb79NXrToRJ8+DkKhTloas6TkemCgy6VLsYsW9T93LobDoUdGZn733Yh580S2tuVicUy/fk7JyUXysvRln+jijwvwtIenPQA8TJRffhBqphd69FYNjVsmH7a3d1zN0MGbL/htWBrXaAB/X3loYqjt7W4LtRpxGXiQABM9pOahpTmMg9cQ6AX9NpkpNY+gBj8ew5RA2LVq2HL5AZ4ko7dHU7XV8xk5wVaN/f6epWllJiDvVnFhoiTWZuDmFU+NDUSXIwqGjP+sLYPKz0m7fvJnJ8++3r0aF+WdP7ItoIsuk/FiqfHc7eShU5a3pdt3yZkzZyQSyfjx42s/lhTlJIT92avN8lebdp11d7Ec4P9qUWWVUnXhVgwBCO7XOLl++6q/tL36T5k/v10j16BBwxvh3zaDFR0d3brOu62tbe1rZVZW1vHjx3Nzc7W0tEaPHu3g0L6p+w8dbVv9medqTn9UTeAYBm0guIyNPv9jdsgZV10mz8mPEHsOlt5Qq5F5H9e/r2FbZN+9au8fRNIy/HUXjE3w5AlqapCRgVOnmp8/43DqHm8sVvMNvv76dEJCAY/HVKnUBw/OqI/AeDqGPB1DAFb26DuwxeEv2HJ72bJBJgze6IlYtAjDe767L+rixf2Dgl6okfn6Wo8ZU9S7d3xtQVxxcbWdnb61tW5paU1tcVxQUNrJk5ZE4nPPn8oihOaCQICnvVgiC7n7NCYhS8qgeReUrz68iqLLXfWdA3mhA++b/dY2DtfDDPr3LAKAPy/DUBuDfOpsc1wssX4/vJwwwh8FpRjQspdcjQhajXN9mvL1967zpqY1IxVxLw6h0Vgy4dWdDPLBQG9cfoDvDqKLA3q44rnQZdPoCoCDJNbh3jXQCdgWWGH4ZNdB69x8qpE5Z8j4Vw4WAIzNbKZ9sb3ZXT69R0Y/ONi9S90vbFWNiMV7P9IMrTN8+PAff/zx/v37vr6+ACJCjg70bZN1vUKhXL312PBA72bdk5pyPTzeudvozCdnm9lna4b22Itp0KDhDfJvC7DOnj3bRnscCwuLBQsWACguLj579uyBAwdYLFZAQICXl9c/Rd/hlbBH/l6fGmTPJwqs7cvNB4jDVhhZOhKqSyATSmjapIKkJzVGdkNmk+9vQXFSoH55yZ27K61TybPXxyRwd3yrM5E8LYs7xoN+FmUZeTIIwkTYuguGjvD9CImX0rOLDfouZTk2kyK2enVQly7mvr4bt227kZVVPnNm97t3U2sFJ0NCEjMzy2oFKu/dS9u3L8LJyXDcuK51q2yb69Soa3fl5XWTyYnU92dhbGJSev68fXW1HpVaPG5c1wkT/oiJyfnyy/71xXF2drNmznzu+fOZR/6D0xdp1KzNRxh0WmAvt6CALvXxZXwyx9JaBgYNX0+adWDXvTg/9NTHoyRwmFAqsW4f1c9VoVDKdp6hfjy8rhZMp9UHpC4PZVUw1WutDTB1dNaDJ9qNA6y4dMSkYtnktt4IAgGDfRHojYRMbDmKqQNh/XJko1Zj0xFw2cgugoku1s8CADKJD9nyBUnZuYX5sua9htqFvpF5hOCFTNrdyORuQ9o0K/buWbRo0dKlS01MTEhqKYssorZqXBP3jFNdQ+nslL/sh0MLpg2yt25T1JicUcAzds9KifZ0eQ8Kqxo0aGiFf1WApVKplEpl0+Kd1tHX1//oo48AiESiGzdurFmzBoCbm9uAAQPa5S39gcP0+7z2vhRb++Tv6yM39jQsulLa7bunhZLAnA2k7Cuga8FnqjWFYS27gCo5xGVuToqDP+WvKP/ERjc7ktJ1uGNO0L2VeVmXeRe97AzzHR9us9LL0rIZ1Gx0BWDdugtUKkkmUz59mhcU5Nq5s+nPP9+sFZxcv/7inj1TWSyaVKrYvz+id297Fou2bt2FIUNck5OLfv01tLaH2l2Fhcp9xwznjK9q9ixvli+/6AXyC42JHTsmADhxoodAIFarbb/5RpWYGL94cf89e+47Oxv36GEzcqQHnU759FMMHGjM5VbfunXzfMgZU13q4L4eL9xsgKw85rFzZq6OlRdvGv20JgYAuCx0sur+yy+ockJpJTbMBpWCoO7YeGgwg3b1YWLwy54nLVJaCc6rv/A0qkoqI0GhRGoe7ExBIgLAiVCsnd6e2wMAIBHhag1nS/xwCEN7oFMDJ8Rz4ejriT8uYPfipsflFVXZdnszEk0KFeVmeByLSSsoFdp2Dng3toMd45tvvhk3ctCMUb7D+r8iT87USPzLPvqx84dXfjqqzsK5DRQUC7IK8/k8vjb/TVpSatCg4fX5VwVYr2mPw2Qyg4ODg4OD1Wp1dHT0rl27qqurtbS0AgICPD09/zXTWvpGFqqlKQV5GUrymoLUDC/FbhKDA2EZqkvq/HP8PkHuY1zfCAJ5k1+2WseWVJV5qXjO9+Gr9vfY8AexZGXAnXT7b4yNLKg315NSjmVtz0rjdPs/e+cZ0NT5tvEre0HCDntPkSGgoOLeE3fdW2ur1lqtrXu0tm6tfzusVq2rarEKVRwoghMFkb2RvXdIyCDJeT8EWaIgYqt98/vS5DnPOecJUs6d+7nv66oEb8Lcr5sWY23ePNrLy2LdussXLkR++60fgAbByYULfaurxT/+GNqzp/XChb6Rkdk//hgqlytcXExoNIqVlV5+fhUA1aGLF0NdbSfmFbJMjcTv/KeTeRdPM8BhtfAc1AIA7PxKsfNnzQ1rKu1sPM+fYOcnp+bkld+5/1hXJ3Hb13XduzmtnteLQ/WEouVOnIVJ7ZJZz2MSeZs/T6RRlQAQHIlaCS5uQ3wmdHmNprwDPXoplBtqJWPauWCBqL7y/bUw6IryXAW2nkAPJwQ+AJUMOg2DPNBh/2wKGWtnYv8FaLAbHVqYdEhlrUZXAArLanwMjDt4u+ZMnL++RlApFtV46htRqe+pn3Fedmpi1B1hRd62FaNOX7o3drDH63/YscllN8POBf0+VVOjDUuGphgZaFG1HDS5ug8jH5ga6pibqt1y1Kh5X/hPBVhhYWHffvvt21+HRCJ169ZNJccsEAhu374dEBCgVCptbW0HDhxoYfEPiV52DgWRoDJg4BJ/9otMmSZPlm9am6AgaHKGlkhZR9Mw1HfsBqIbCqJBKFGVCy0zSIXIfgr7AXAYSq6rBYkCUflInvHIimzEWuqkUammRvY+JlDK0We+wry7iUJhweJeCXkGEPUa8QCA9esva2mxNTUZvXrVO6817KmJxTIymaStzWaxaEFB8RUVIm1t9vTpPYKC4svKhFu21NsONhzasCJt216nwzui3uEPiiDw69+ok8PDHi5dIC54ecqhZwnPjEp++8EzIfZ5eFRa0HWqtTlv/wYne+uGHF4lWjFpBACuRl2fHmWN7x/GY/NcAHBpnnjo4QRAMzpNZZvT9qpligPTa5b9xqGxGr8AnLxokfGcDQqJLayQpxZKJSQSUbtiwDV8PQMcJsb0Qp0cpdVvK0dJImHJOOw7jw2z60eG9cDBi2DQ0b2l/HpyRr6JrU8n9vppcrU1uW9R2v8ukYhFF49tdbDQ9nU2Y7PcANBo1F2/BHz96bhXnfJhq2oDAAAgAElEQVQoKvXLb/JCzk/isN+g6yg7vyStgBg1dQqApBhObEoUmVRsavImOmpq1Kh5Z/x3AiyRSKShodHpeSYulzt+/Pjx48cDKCgoePDgwfHjxwUCgaOj48iRI01NX9t49T5g7EWUpxU++5tT8nDMxNUoYyEtD13HKmgsgkKn0l6UqJu6Iy4QWvXSStDQhcNQAKCxUZmLsnTwjKGQQFoDRR10zFCdD54JbPurVOfLi/Lsiq6T0Bjd7tjRStfb9Ok9VHtqeCFQSSKRNm8e3fB63Dh3AGw23cfHGkDjoaIb/XzK4lO4Tc2MOw25AgmZyCmBh/3LkUH9FLkiJim7/H6yLLvw1+SSvt5OXy8dx3htSc3r+O0qxvm+5vikkT39r4a37j946R6SswESloxFdnFAghuji9HpOfHz+kRhQt/YdN3AaCf3opDZBg8UUoXA1IKxtDtblwqQgP6NF6FRO0fsm82AkS7KBY2FYp9NxJ5zLX6M5ZXVcekVkxeu6IQ7vvcQhDLg1E6/QS4anMZEVBc705z8suMX7sybMuDlU/yDwv8IwMFtkzjsViRqX4VEKnsSXzJpwWbVWyc3HwqNXlsc+nbLV6NGTafx3wmw/P3927RZfUuMjY0nT548efJkgiASExMvXbpUWloKwN7evm/fvubm72mRaf6JyYS2uemQuQCgZwsaB2EHKVqm6D4DYABAcRLyY8HSAoD8Z5AKIW1ibFeRjewnyHwIJhdeM3DlAAy7Ij8WSgUUMmibZwafVRAMm8UXVftNFQk3KiPP5Gr70shy78eR1GXTmy6GCaAaALSAhMRyZz1d1WuUAEB9MdGuAHzih99vYM6w+kOK2pEDpRv3OO9eH8dkvCJH1GEkMnzxI0z0cHJ902FRrfRRVMqT6HSxRMag07y72a1fOJrdbi/C11EtfL1hnI0F/+gftxrfC8W4+gh5pVAo0cMJa2dCKMaxIKWedqjjygObYrb/b8SvvH4Fa/LMdKo+oW7R1ZJg5VwK8E9keDwd8CwVg70aR5orvxQUlYUnC0dPb1fryX+A6xd/9u1m3DS6UjG8v/uhE9dDHyX0b777fPhM8JNoy+l+/b275b/Rje48Sho+5QsSiUQQxDX/n+2cvWMf3xzg+f6Wo6lR8/+N/06AlZycPGfOP2SoQiKRnJ2dnZ3r/1CmpKTcvHkzOzubRCLx+fxevXq5uLhQqe/Fz5YgiEKmXXcbU3Bf2O/wjDD6W4hKEXEaerbQtcTdn2DRHeZeAJAbhbwYaJsrLn1J9v2YpG+LikwM/qr+XLkUVr1g2AWGXSAsrUl7okg9SHDsbT+7orpZ7m8TBEqSnSHbRhYA73n47S6kI1ot9EmtFHx868FCZ7u5XV4KNSoKsOMw7sXBzx3s+oBGi6v8+tOUPYftN3yW1Mk/Iw0Wts1HdjGA/KKKR1Gp8Sk5SiXBZjF6edp/sWgMk9HZVT7KtreBLM0MnucUW5vzUS3CzrNYPAYfNSmv0WBJPp6y7YDT4hmZANYvT3qew9H2o2jzNLG0EPNmvPK6nU5XKxy61BhgxWbAulmhFVeTI6st/Ff09v55nj26bqQhNjG0bPXosrnDN+z+w9RI19bSEIBcrli30z8rb8LnCw17eb5ZdAWASqHI62R1Mmnw5SMORhDm3h7qbdxO60Y1atT8A7wXQcDbU1BQ8C/u1jk4ODTIaBUVFYWHh//9999yuZxGo7m4uHh5ef1bayMIZcDpvT5OzqiIhXVzf0COPnw/QegBUOkYuRUcHQBQKuA4BATgMz/v1JrCuw8daw+yGGSZ5aDK1CiZsMKk9KEslSIRjxdkPC1PjKDzDK1WpmiR6l3wCnIzCjQdvHt5AcDDX5EVjpHe2Pg9li3BuRDMHIImvVH22twV7k6T7SxbWfeX0wBg+hBsO4Et88Ckq4ZNDMV8Pcmt+waDfdtw42k/olrps4TMyOScyug04nyI6WCvnkO8xg/rQaG8s56GoPD2eFdPGd2r3janoAy+Lo2F5ACA3AL2d4ccv16a3KC8YG0uAgCFEmYGMP8H0xhUCsQSKJT1nYm6XMTJmh7X4LCG+1oFnPxu0oItHbQl+ECQiEVZCXdfbzW4eeWUlVtPfPvlVILAmu1nxdI1P22v1dMp78DtbM11Hty+WFuR3b+HrYH+e1qOpkbN/2f+IwHWuXPnZsz4B7+1vxpDQ8Nx48aNGzcOgFwuj42NvXr1al5eHgAmk+nm5ubh4WFs3Dm9VK+HKIgMDzzk3b2XoYEVwkKaHqqorEkLv60jypYwDWnRcez8MhOvAQSdU/48mR1+SEbTfp79s5aSqoNKma6TmG2sfBxI6bbI2KxLHce4NnVBxt1rHBbLYWVYi4q3zNQoJ6cXXtQ9F+DxCQyaDpkQh/6HrQcRnQurZmqukz1eK+6qCXzEQgWvqYXLoo9x7DR/7T6npYvKTY3rXnM26iohaSUOqxVLY5Oyn8Y9LyqtAsBhM7s5W86e2E9nwSjI6nDAH45vstXLNgfnTZoeCCV8rWHTtvu4tlZVWeUlgiBI5dUvS2FFxGiPGlTYUtcqOQfnbmP64DdYT6cwrAcC7mNCXwBIy4dVMwGnqvy6gIMUgcDxYsX/pq5vvcHwPwBBEEHnfxjSltUgjUrZtuqjz7ec0GAzDQ22LplZrqfTQcdAM1N+aWVG95Fe7fdRUKNGzT/JfyTAKisr4/Pfu94ZKpXq4eHhUe8GDIlEEhMTExgYmJ+fTyKRKBSKra2tm5ubg4MDjdbJm1ByqSjn9AI7ex89lTOupQ8y7sGmDwAUp9yPKBmx4LeGdMLza7sqL39XodmFkFSJXD+3HrtZWZRzJ/Cofk20pt0Qo4HLm15Zy8LdeeGW1m9aJ6NRKfVvSBR0n43cp+BVYrj+xsOFw0b18tV6QxmksS6q/86ceezYsdl0OhXA/GWQSrFjh/7mza89V5ihCrAKiitjErPiknNqRGISicRmMVwczSeO9DHU12p5SlJ2G3YxL9Fz1K09ez+ystI9ePCOs7NRWZlwzpyeOjqN2zQ1NRIGgyoUSnk8Vn1WzNmoqEigp8ehNvysWoVE9ulmHxGe2ONGRGObHgAgKMTwfoTe7vWxzeZXi3DhDjbP7bjyQofxsEdIFPLLYKKHpylNXX0K4qU7V2t+tklAZ1F/P0iRrpYxGPR/ennvnvLSgpDAIz266Gu2Y4cuJjGLzWLoaGuYGtEPn7FeuTBNmydr86yXoVIoPdzt256nRo2af4n/QoDVpj3OewKTyfT29vb29la9VSqV6enp0dHRly5dksvlBEEwmUx7e3tnZ2cbGxs6vePPIYm4NuT46t59pvNMbQiCKMvPJmWn8PLu0fRswTMibu920+nfdLPGesQaeAzT4zf+DPUNzacs3lYnk77Rno525TOKoTkanjEUGix9wHdAQlDTqvmffgpV6bnX1spCQpKXLOl7/PjDYcOc//jjiUrG/fz5yJSUoooKkZERTyKRb906hiCIZcvOUankrVvHCASSvXuDHz7ssWiRyeXLj1WX+uGH2/r6mvPn9xKJqr799rRIVGxmpLA2FBMETAx1XB0tPp09TIPDbH3dDThb4dpjpObCvhXvl1bxG9v13r203r1tHjxI37hx5NmzT8hkUkFBlUqS3sZGv6pKXFMj2bJlzJEj9zMzy1SvRSLpunWXmEza99+Pr6oSk0gwN9epqqql0ShUKqWwsJpEIpkZ80ZNW/Xdxu09fjqF5qFYeCpr349iYCAASEtRFQsAz9Iw0vtfiK5UrJiEb37HlvmY3B+nbmLBKNXwwfWs786I2TrMyzdMsg2c7wY/GDK6lTa6DxSZVFJWkv8k5AKXIRvb3749XaXHzodUCWp/2r7w7uPEtMyjqxYPO3jMduOKzi4rVKNGzXvAfyHAar89znsFmUy2t7e3t2/8DiqTyZKTk2NjYy9duiSVSlVz+Hy+vb29tbW1mZkZhfLanAcgSA5+Gh1ZLqgZPqAnlUoKuhNDUpKc6MV03Z7FMmbs46xB/fUqyIaG3V7S4+G3EqE2RFfV1dVCodDIyIhMJuvo6NTU1HA4nKioKC8vr+TkZEfH+p58kkJKzX8KcRH0bcF8UW7F0obXDNxtlICKispR6bkLBBI/P7fRow/17Wt/8uQjlVnyL7+EZWdXjB/vHhqa2rWrcWVlbVhYKolEWrCgd2lpzZkzTxISCjZvHn3rVt7kyc+BhJs3c3JzE+LjQ8eNc790Ken27ezFi8dmZMgNtUkfj3/DwmoqBWumY+sJfDkV7RN77NvXZv3G65MmeVhZ6XE4jKdPc0aPdt2x47rqs3z55cX799dkZ5f//XdsdHTurFk+qtd2dgaLF/c5eTI8NDTVz6/+Jx8Xlx8bm790aX9Ly3oBBTqNL+dwZVRui2hbAYDOBHDxYpSLHc1eVX7zMA5rmjVs/qPQqKBQkJqDa49VFtel6bLtyzljJ1SFPLO9fd9g7NDCIzvzL4ekAP+FAKu4IOtu0DEOXaHD0xjV15r2+mQkAEAuV+w7csXT1Xp+bxcAfb27ZOWVXvg7RaFsl0GhGjVqPjg++ABLoVDU1dW9qT3O+wmdTnd1dXV1dW06WFxcnJKSEhYWlpubK5fLVYNMJtPU1NTCwsLMzMzY2Lj+AVyVVey/3FrbwK3PXHlqaEp2WZ85JzR5Og2X4lVXpJyap2s9guE1940Wtm/fPhsbm8mTJ588ebK8vPz333+3sLDw9/efOnVqXFxcQ4BVre0upkTRJdUIPw6vmSiMg1FXaOgDAK0xE9ag506hkI2NtcrKhPb2BteuJdSbJVvpZWdXuLubRUZm29nxExMLSkpKKiqy09MjYmOTnzxJLiioPnIkvaCgmseTlZaaLl3aMzjYNSnJcd++8SYmWtHRP0+f7nfp0rOy/Mw3/xcAyCSsnIzd52CihwHd2twxpAM2NvrffXdt1iyfhsHMzHrjZz09DVtbfZFImpZWAqDhdVBQHINBk8nkYnFdaGiqhYXOrl03ystF/frZZ2SUbt8exGTS9uyZdPTo/dRUxtixa3fv/uLEiYeq9F50dNGNG0I9vZKVKwcfPBjSvZvenlUaAEAmox2P+XfI+lmBH6dFZw0ZbkIv3S+6d5sTL3G8fcGwp2eFBlt+77FeyAP9/GLuuH+o07fzUSV0czOTn94L4DEk4wc7U9v6wtNARZVww+4/Vswf5WBTX38ZEaOdlLY0IXXfzrW3gffRrFqNGjVvyQcfYN26dWvw4H+8qvcfhM/n8/n8vn37Nh0Ui8U5OTl5eXlhNy7n3PpR3mU6mUxWSEXiDB7FxKU6IqA7njnOP15cWkGQqA2Oipo8HddlAR1Yg4aGRmJiYkVFRWVl5eDBgy0tLXV0dFJSUh4/ftwwhyAIo8QfNbs4w24cDJ2RH43KHGSFw9gVDoMhqdm4MUBPT8PV1bRBz33NmmFLlpy5cGHhqlWnevc2uXTpamlpcb9+phERyfv2JT558jwri19aKtDR0ROJxAcOhBsYGP/0095nz3KDguLFYtmBA+MjI7N//DE8Pb1UoeinWkajGfMyd6BD0gBaGtg6D+UCXAxD3HOM7/O6fTe5ctYsn2nTjh492lgmtXhxvfGziYlW0wLkhtdKJVFRIcrMLI+IyHRzM/vtt/vbt4+7eDEKQH5+lSq5FRyc9ORJ1sKFEw8f3uvqui0g4FNVeu/KFb0ZMxjW1vpSqXz4cOeBvfWAbNVFO/JhOxEq5b7N5PXfPIsIlOrw8Y0/QWPGAXGJqXkSqdzJzkYorAiNygdad658TyAIpaCqgqet1zAiEddeObubQZGTSYSkDmZ8zui+1u0PrQAkpOYeOXtrx9qZXA0WgPQsjR9/t+nlVf7tlwnA4C+2/b5xxSQ9Hc02r9MRkrKg3bp2rho1at41H3yA1Vn2OB8WLBarXhuilzt8jeD8UcMhhUJRnBFTlJNRJJRmPHpUVlYmEAiUSiWAhqY/giAIguDxeBoaGjwej8lkcjichhcAtLS0SCQSnU5Xva2rq2OxWGQymcFghIWF+fr6qmKF5cuXT5w4EYBcLg87+pmVgU2BQR9ZTrFcrqyRWdcIaRKZec2tpzUnA/lOswcP1pPLhUplUWoq4eyscHenZGRcc3dHSMiFefPM9PT0hg614/MNbWwsWs1HymRyMplMpZKdnIz8/NzYbDqJRLK356uk4devh4kJAEil8tWrhxw//tDZSa9evbRj6HKxeAwikrH1BCb1a2Zp3AQvO02YWBYU7FK9/eWXGQDGjHEdNMgRAJtNBzB0aJehQ7uoJjS8rq4W83isoiLBzZuJ5eUiExMtc3OdoiJBQ3JLoVAC8PAwNzHRB4pVKTEdHUM3NzMmM3bXrsc9ezZfUqcooL4dLKaCZ0wdvKTZX5WE5+UkMk2DnR2fVTtx7vpXnfvPQxCEQl5HpTVuv9bVyfyPbtbXoouV3KETP2Ew2QDuXj89tJcVV6ODOfIrt5/GJefs3ThH1eIgkVL2HbE7sCWGTlMFxORvv5y6dufZfZvm0Gmd/df468PQ1MF/yLFejZoPiw87wHpH9jgfEizdptEVAAqFYmzvYWz/OjEeFdXV1TU1NRKJpLq6WiQSVVZWVldXy+XympoaACKRSCaTAaipqdm8eTOJRKJSqStXrpTL5SQSSaFQrF69GkBoaOjn8/zKa4QmBlwrroyU4E83cuCwGUwGjcXU1udrmNk5sBg0LQNLLotN1Wxuz6JUQlwLFhNkKgLvwMoSZjqQpUEGRKbARA9GumK5nFUrRVQqvX+3hvM4qJeDh0oaXgIOxUCQW87VVAzxJs5dvLt8rrmTJYEO9r83obsjvBzw21UEPIClIaYNBrlJNiv+OSwtYGL58nmq0KoFCUU5zob1GhA8HgtAba0MwPTpPaZNO1pcLJg82SsnR5dKrcnPL4+IyAIwefJhmYw2Y4Z+eHhmWZnQ0nKmtvbj5ORqlY2jkRHvvH+895eaQEv99H8FhaKVVJ+DOU9AsUwuyBs/Z+37IyhQXlpw/fweOktr8oJNDYNXzu4b0cdei6cpENZeO7Odytal0Jg1pVlcrx4duAVBED+dvGFkoL126fiGwe8OOX71acqL6AoANDVYqxaP2bz3/Pdfd7bQjIEWdNXC7mrU/GuQ/hWF5V9//RXA4sWL3/I6J0+e9PDw6Nq1a2csSk27uH379qBBgwBUZzyqK4oFCHlNuqHziwqkmL9gNwDsl2QPc6MAJcy8Wo43EBOFexFITMf0MfDtC4LApmP3Phn9v+ik/1XL+V6Ory+Hyi1gHztvuXll4tt8tDXfubCYCrmcZGEqnjUhm8Vs7smTkIUNR7F0XL1q+a1IBD7AVzNh1igBeu0OPylNQyyh1IopJBKyy+VLpuf1dhPHJ7B/OEwLrpMe2GQyzqv+11UiqVPZMgIQCCRPnzL+/JM0ahQCA+WHD1PF4rpFi04dPPgRh8PYsmXjxo1bAWzbRt+xo9HGEYCsOpcueIyMfDxLw6T+b/Px356zl81dHKtdHKubDlZUCuIK6P2Gz/y3VtUqAad3De9plpRW8LywVs/YRiyqEVaVdLXmOjSRKFMolUol0Z4C9pepqBJu3nd+ycyhzk06Ug+dsHW2rx7Qq/Tl+XcfJyam5S2Z2ZH9U4mU0rp/1P4LP+jwdSx6zJo1qwOXVaNGzVvyYWewkpKSZs+e3fY8Ne1EViO9ub6q2wo6U7MwJ9nOxp7GNWwx5d69e14eblEXNlpo1lr3GQMA0Nt7SnY1uMDQkFte5nX5vB+LTQWJDJBAZQAkyCX7z9LmzPLU4evXX6U4GDmPUZEJlxf9jG4ecO2GpJs4fh11bOSlIDnHkMkwLC9lxRdivA9ei5lxbTvsZ17Hqb8snO0FcyZly+rIN8L4PxyzE4ooJBK2rEykUAgAcLZE764Q1GLfeSiU6GqNnUvAYkBZr3d6NcSoRkiaO+k5g67ksOXVMtn0oPvfXBrc85ajtYVo/4asPw8G+M/4uMLnr5kbaXQ2SSUaUZ5dd3Y38gsZffsLD33NJlMRed8iPjKlqzFz1khwhSFUCclSq6Yo5qS1hWFBhntdTowWlcALhVE6oQQAuQKdvsH05owblr/3V/sWAZaONjf1ekhXz4G6+v+Evm6bEITy3o1zhlyCQae5O1u4O6NKIGQxNBmMlu7XFDK5Y3r+sUnZR8/d/mb1VC1uoyzWg0hdrmZdq9EVgL7eXbLzy67cfjp6kGf7b5SVxzl0wobFVHA15F8uSSkoZoU80C9KljnQM0YuY1HwvuQL1aj5/8m//0e5wxQUFJiYtK2IreYNoNCLEsOKFIZSmUKXKSuI+sFiwcWXZ90J/HXk4L70Zqo/5C9WDR092nX58nORCdXGxlrbt/+taoU7c+ZxQkIhj8cks3UePs47ceKRk5Phyo9IqMxpaclXW4GqbGxYiiO/wVATi0ba/XD2oB5QUoTlm/H5PDi/LlWpVHb8cXL6L3NjvnhQ7xIAdJpyzODCMYMLASSkctft6spiKhTZZcbyXC+alduKnk33d5oS+kh/17rYhk0wHp3+TW83y+FiHaYqr0aa56I1b0xYYqXZN9M5AJhMpVhC0ebVfbRCbuqmAMiABAo8qUwNOVZ9Y41iWB8uIIUCU0Z1P/rH7REDZvbxKqaRxHg5WyGtQ5sqX+8eNkshlbUSkvh6WudlpbwPAVZpcW7I5V96uZmZmdg0DGpxNTrxFn8E3M8rrDiweR65yW5ynZzsf9V0/+aY15w4a0LfbQf8LUz0XdrnJRCbxDt9yfy7r+LpNGVYuP6StR62lsKxQwqNnx6JMRvzua/MbticctJt7ffUg16Nmv8+H3CAde7cuenT/z3hn/8Khblpj+5cmjB7DQBQGASD6+FqQ6NS5LnRMSW6rbrA1NWUyOUmKTFSC0denZyiqy0DsGdP8MmT4Ww23dvbKjw8s6EVLiYmb8AAh+DgJLG47vffH/Xvb8/hMKSyHEadBNUFqBOD9kJxisZCVT54Jpj9EYoSgQJs+QQASCSIpdh+EhttUFEBIxMAkCuaqhLkFbJMDMVv+tmFImpgsHF8CtfcpFYVXbXA2V6wc20cAOy/UDDELzJzVNAhAyZT4epYLZFSPFwqLUxqb97lP3qqKxBSxwwubFFi5KHfPCmiUEJHs0t3zjdDAUBcRbC0CIDa4n/DSS46F664MSnRDSPaPE5ZpSA8SqefTxlaJSkbPs5v+vGbod0N9Jek7d8czz70vtNt16ySjB7ZqE5e9zzQxPxf1hyvk0nDrp1WirInDXejvJuqTamsbudPAd3dbKb5+bY4dPov83lTstq8wobPJn6x7cS6ZRMMmrh2tsq5QLPsfPbOtXGqX7l+PqX9fEoBQCyFAbX3LE5P98yQ25I/yxhGog59GDVq1Lw1H3CAVVZWZmjYcgNLzZvC4eo6uTU+D7geU6Ni0rw9HammbjoPv38asFvTpr+JpQNHo74XiSAIa2pZ3O/fPKv+NPA8USnSdOhppFDmr149ZPToegWvFq1wPj7WwcFJABYu9I2MzP7xx9CeS2IMxAno6ge5BIJCCMtAyJH7DA6DAcDAAbrWiDqHxGswdICuDVgMzBuFT/ZCUwyRECwmNCxgbgwDFiCAh9fFkKGTR+e1/1MnZ2ie/suczVKMHVIwfVxO2ydI64y7MsZ2LRuLsvQsjeIyhomh+GYYPzuf7d2tYv3yJAqFeF0Bd60UbAasDPH3I3w+STXG0mq9uOd5qmE/d0mLwZ4e9hx26B8BI1uvM9PhIr8UFh13i/p666PElGotLbZSSZw6Na/VavQlS85s3TqGz39dV9r4ybB1xKZNNC09+Pri4sUoFxcTgkSnM/61BBtBKB/fCSjIeNK3h52ejmvbJ3SI3ILynT9fXrV4jJVZK3XlKRma7QmwyGTSt19O++r70/s2zXmVLvydh/pXbhuNGlQ0dWxuK4dP3VSV4pHJGNwlLaGwVqMz03Nq1Kh5Az7UACs6OrqFIKeajsHl6XDdegGIuHvFwt7VoM/SnCObehAEiUSysLHWZRfml9x7GHuFLK40r3kmp2pWPIo1+3KWgX61twcfVAaKk0P+DNlwczHPoFEmoInOU1bTewUFxVdUiLS12ayuA6D3orWKyoCwBOVZqBPD+kWoR6FBXIWqXGjoQtcGAGyMcWwDAJxaBFMLdBuNihrUUlFUoDhyLjzac8WCdmWwCAI7fnLU05Zu+jzpVZt9zZDIcOQKulg2DNhaCm0thQBcnapfeVZTnqYi8AFIgLsdloxtc7qejjQ7r6Wl3ciBHl99F2hvPaj1cx4lYOPbFiNu2jTa09Pcx2eHSCQ7efJRg52RqanWzp03WCyaUkls3BhIo1G2bBktEEgaBFFVu8DDhzsHByeq1FA5HNmyZfmTJ5fdvBnRvbvlts/4oTfOjPzos7dcYQdIeHY34cl1bzdTn+FvUNv0pgSFRN17kvQaqQUaTfnDMTtz49rCEubMCTlcjVf6lGtwmIN8F/WbHDz/o8UO1jX1eSkAgFxO2vOrg4WJaO/G2NZPfl4IEgkmeq0fVaNGzT/LhxpgfaD2OO8tCoU8POxy/LOweSt29+pil3P3L4t+E8luY7lPTnIt2U593AEAfSET6T7XMHD0REIxihJg6gG+48BJytsrGUvXOXh7w90dAHbtmqjSeRKL61gsGl4IRG3ePLq+A+7BOui9eODR2LDwgcVLZez2g5ByE8/8wTWElhlIZAAQV8G+Nyx6oCQdWqawtkdXhxOBbqunPATaJai49UCXCcPz2xsbCcXYeRafjoNRywroN6BaCBYdhroY13LnqFUmj8qfutS7xSCdRlUSyuQMhlRGZtBfiguZ9Ld3Idy69QqdTpHJFCRSMzujM2cef/XVsJSU4oMHQz7/fFBVlTgwsNHtp2EXOCgorsHsKDHRzNFRy9KSGDDAYcSIrmxWHguVxQVZfGPLt1xk+1EqFJd+357mkWMAACAASURBVOFgxpoysm3Jkg6jUCj3/BpoYaL/epGFb1YnVFTRM3M5Vmaij7/2WL88qauD4OVp8SncY+et+nqX7t9sc/v+kVrxksBgo9kTs926VOcWsHcftl8+N93OSvjyiQAgq8Oxq9gyr/5tneJfVvZXo+b/PR+kgpRSqVQoFP8Ne5z3BAqFunzj0XkrdgPganCkdQoAoLHRcwHKm3jO0F9kVnQtkHSj/rVhF5YG/cgR4swZHD+mVCoUIJQ8HhMgWEwKlHIo5VAqoJSDUGppsUhQgt+llUUIS5DfWHiEiiw4DEXvhShMBPEipGDyYNQVEgE4OjCwByAslWfk6HrObTu6qqymf/ODk5drZXujKwC/BGDllLeKrgAM9MDXM1BS2c7pxnxxX+/SkrKWwqFTx7i6OJ7fc9ihlXOEta0MviGbN4++eHHJiBFd791Lb7AzAlBQUGVlpWdra8Bi0Tw8zHV02BJJXVBQ3LVrCU13gRsMgqqr7SdPNhAK5T/9FFRdXZ9W7OvjFH7r3Nsvsv3cCTrZy02/a/sKxjtGQXHlym0nxg7pPnVs7zYn62jJPF0q3Z2rzhx8ctLfIjOnZZISgJmxeO/GmHHDCnp6WDnZcqzMzu7ZEHvyosWmvc5nA8x2r499ZXRFENh7HkvHNwZV1ULw1LuDatT8m3yQGazg4OCBAwf+26v4kCEIKCSgtu5nrNCyZklfFFOnhTUWoTcgqUbKLTCb/PmufEapfLZ7OXHrrvZX8zRqC/JNDcW+9gccNMoMDMzQbwUAiKsQHwinEYj+C74ft3LjxBvwmNL4lsKAhj409KHvAAAlyZAIYe4Fcy9IahBxEibuAA6tIi3/TgK0oWOekqH5y2nrr5em8PValje9DgoFlQK8vY3J/gsY/MotKpmsLvBW1GBf54Z2tkXTM/+8arp0TkbTaT097a/c/oMgprU8X0mgozrjTVm//rKWFltTk9Grl01FhajBzmjWLJ85c05UVdXq6nJac/vJUo2oDIJKSsR8vuedO1VeXpEA29pa//z5SO+1hhQymZD/c+XWZSX5yposIwOXd3eL2w/ibt6N+f6rGRz2m2nok8lEnYJcXdNKiRVPs3HrcOJIn10/B8SYZO3d2NYV5Qr84I/RvZp9E6iogRkfKHyjtalRo6YT+SADrP+f9jhvi7IOZJq4Vng74FfL8hDbqnvVE4P4Ti998868TXC75vAHmwEoToagCN1n4vlDlKZAIUfPhQAgrgLXCBW5SL8L2xcmiQoZlIrB/aoG96sCoYy7HjX2l7Xe7oHn+ibVT2Bpofts3P8ZTkNaX6G4ChFn0HN+/dvKLBjYNh7Vt0fkacReApkMpxEQ12ehJDUyoy6tR4oNlJQxfjltvXdjLJn8hmJZn03E3vMY54smcpEdgU6D1SsNfW8/TJQomDKZvGHEwqQ2t4AtFFE1OPKmMzU4TCvzzCu3jUYPevHgPHUTeaXt3Hx8DTu+HQaGfsPb6dN7qDyIVG/9/NxVW70Ahg1zHjYMeOH207ALbGKiNWiQ4759lKwsyoULWjyegUoNVSaTo/oRCKJbUnrO7avmg0a95VLbRCKuDb74v8kjurU9tUPI5YqDx68Z87V3ru2IempYuH4vz3J356o2Z365ZOyX20/p63JNDHVeOSkiGVceYt5IWDbv+Ckow6B3uDeqRo2aNvnwAiy1PU77KS8tiH8aopXxl5Ykm6kURRjOMq953K//RE3Nucoi7/t3/x5u5tLQHqiCsBzIlkkqqmsBQFAIQRGubQVIcBwI2Yvcj7YFtC0AoCwdGXfB0cXD30ChYsAXSLoB13EgkV1YT65N++vQvf1QNNf+qcoHmQkAShmCtkDHEjqWcByKnEjkRYGhAWkNGJoAwDOFvInZDYkMl3HozsWTk4g4jQl76selNcDrAqzzf5vFJvG+WZ3wxtEVAAoZC0Yh8EE7A6wzl8zTszTWfJLSUgXego9HCRjZilxqcnre48j4GRMHGOg1U0lgMhVUassFT/PzvXUvMPzpqlEDC0kkoFwAkQRrO8NipSwcpGYlO027/lgAmuxwPi0u9eTr8wCIGg8l35Oc8zd4mG7264o7FsfDIZPDRA9l1XSFEuIaSKVmAz0v50SZ490GWAqFPODU92MHOL+RH3P7yS0o33M4cPm8EbaWHWxhvvNIf+Nn9d86Hj3Vzcpjh0fpMhiK3l7lXq6VTdVGSCTSN6unrv725O71s9itek2evAEOE1vmtazAKyiHQgluK7uQatSo+cf48AIsf39/Pz+/f3sV7zGEEoVRMPbK+218hZLu1muElp0faGwAo0kkBByD5mwAZEOnEQMkkb9/5jp2VaX/4nidERbCZ8Uypqk0haJtZZIfX8QrMfQaCrsBkArBeEUxh44lHh2Hhi5GbAJLCwCeP4CJG+hsCEsdp+7RyrGvpto2k/RxHll39+hT+lIHwXHt/rPAdwJBoDofggIM+Rqa+iDTAKBOjMocZNxD78VgaCArHOIqCIrB5MLcCzQmyAzVhyVeq+CeX8TKyOZsXxPfwR9mrRQKBTILEBaNfu6vn/vzKRtHGwGbpYhL5vVwr2h2bFRP7Dj7coAVGZtx6WrYjIlD7KxainCaGoqT0zVb5DksTfUzsosqBTRSQSmOBUGDhTkjOvjRWqBsr3FjpkC44s69OU42i7o2Slv9vEwqlZLXLXtCF90CgNn9X1aWJwM64YkVZUU6eu9QXeXahYODelhyOG0kNTvGX9cex6fk7t4w622MmTU58thkXlYuJyJG295a6ONRPmFEfnkl43kO5/AZ622rEppOZjHpGz6buGH3ub0bZ7fUzgh8AHM++rf2a3nsKlZP7fAK1ahR0yl8eAFWcnLynDlz/u1VvMco65D/BEbdJNUlrpNXtjxKKKBUgkwGwGYxHS00hf6zTUcut2JziXKm3cOTzJ4TSBQyqM9haY20UGiZQlgCq16QiVBbgWf+QBP1fDIVg1dDUVcfXQEYvgk3v4WeDWz6Alg19e7G3Z9M1qD06VEGQCCkHfmtayV7po9Nwh8RP6zoWWUNEUgk8EwQexmOw0B98TU96Qa6jACVjpB9YPHQYw5YvMYSe0MnPL8HUUVajouFxQtbZRoXrMYw5cIlXnQcU4OjXPF5OdhtlcALM5tFGH8/xNMU0KmgUFBciZ0f49Cl1wdYiWncymragF6lpeWM/UftPF0q6w12VBzwh31LL8Uzl+6mZeTOmTrCvrXdw7mTszbvc24WYCkJpOVapeRUlNzAsh+wYRY8Wyt4f8dYcTW+8uo6xqo+pScTE5tnUMdOkPWcqQm8rqJcqVCSCHmtqObdBVjJcY8MuXV6um2odHYAsUS278gVty4Wm17ImHWYBVMzg0KMnOwEY4cUNPySGPPFRgbiW/db0dAyMtCeNbHvviNXVi0e0ziqUCIhE63uUWYUwNEczFbsxtWoUfNP8oEFWPn5+Wp7nDagMND9UyjlPE3N/b/4+1ITjC2tTAa/EEmS1DSda+DWD279VK9JutYsEwdomYCji/R7KE0HSwuRp0FjIvcZNA3A4sHMHaHRKE5G9mM4DAXPCCxtPDmJHi+uz9SEsStqiuE0DIC2PO3gpHNH0vfdCOMrhZVsZcl8+6PGnvZwHj1sYuEX21z3b4qp3wjzmo7buzFsw4uV2ePOPgzfiLE7WvmMsZfgPgWCgrBtmUPX1sc9oRHmm3bHnjgx0MpKb8yYJAcH0d69qiCgXn7z3r202Nj8pUv7t3JBcSGUUhAEotMRFgOJFCungMcBgMxC/OD/mi3CiBjtM5fMXRwFa5akANDXlfoNLfj2oFOjIujZYJRXY3LL+3q6WI0f3oPNal2Bk0olRLXUimq6Dk8GAPHP4R+GbnaTd3z81+qUrO/2WYZexp1nMNbDtEFvr9HwRjRGV7XKLycwV34jsOzeRh+AoEZ0NSzZzrWPkanVu1tY8tPgcYNaa1B9OyJjM078Gbpu2QRj/ksu5m+OFreuVW3bvEK26SvcCLo5W2Xllp4LfNDYrnj1EUb1bP0GXDaEb9LJoUaNmnfDBxZgnT9/fsaMzqg4+c9Dpuovuj5jp12pUpOrxQNB1D+DfZeAkAOtfbutyIagBBxdAPD9BACyI2DsCrcJjXMeHEZNEfiOIAg8O4/+nyPqHDSaf+32mgGFDPGBSLgGTV0MXbeImgkAmQ9h1BXMLxBxGlV5NC3Tz+alb9nfZduqRDKZAEsbTE3U1ap2M2HYBVa9kHIb7q0lDORyVd5Lx05Smlxh7qUBwNdb6OHhNX++wNdXLz8/4rvvBs6f/7tKCbO4WLBr143yclG/fvY//RTaIKEZHZ0bE5MnEIgPbjQ2UVbh0CX0dMYnfmA06fCyMnrVbktOPvvUXxYMuuLAlmZ1Zt7dKgqKWUEhhiMHFkGuwK0obJqDXwOxaW5TaSJH2zbqujgc+aVrJgumZQNAwCNsmAMaVRtwcbz+0ymbXeuHA0BMOlb/gjG9MKDdNd1EO+RV28f6j2irvhOYe7St0h4Rmzl6xhpNbicEKK9CIhaxqPK2570JBEH8evZWrVh6cOv8pt6C7wIOW15W+cqGxPHDe+w7cuXxszTvbnYAkJCJV2lD6GshtxgKJTpmVa1GjZpO4gMLsMrKyvj8jvuB/L+itCgn3fbjsvRwZz1+fXRFKGHaDQBi/kLSDeiYoc9SUFkoTQOFhtwIeHzU/BoEDJpvQinqYOgMAIZOyHmCWztQU4Ix37W8d+ZDaBrio5/r3xYlICcSHF0wuQBg0wcRZ+Az184K0/xyl29y37giyZCWBqWymXIEzxTpoZCJkfUIulags+tLwQrj8aJ+2djNsPSF0jWVSuzYYTZixMG5c2fl5CiqqsQNSpj+/k+3bx938WIU0ExC8/PPB928mXjyZLgJU4FvzmPzXLRaSkzjgdIshhDUULbvNzczkS77uITHldcnyeg6oNV3DIyfgTXrtShcW0qtGH7HuhjrGn83CIUVcDAHCQCBVjULRFlNxylkIqPA8OtD2YmJhVpaY5UbhSoTm97DyXfvVs34irFrV2+TURMwak0rl2pCy9RdSRikpa87oX38+U3tmAmEuUe7KqmlMgWL9W5rrh8En/NytezEC+YVlu/6JWDRtMHtdF9+S3S0ZFXVrdvjqFi5cNRX3582MdQxFUna6Lr4aCCOXsHHbdsGqFGj5t3xIQVYz549c3Nz+7dX8cGQFXfXIOOM5+gl0HhRkhIXAKdhoLFh0R0uo1GUjLCDMPWETIisCAxeDW7z4himZrM+PoIAhQbai1CjxxwQBG7vxJ/LMOl/9XJZMhFKUkAiw8wTAJQKPLsAURlYWhCU1ncI6lhg8Gqk3IL9YGfb8j1rK9d932X/0ijIJVDIGsuwrHzA4uLJCVj1QtQFGDqAZwtdZ3DsYT4MPBMAeahzHAzwaABA4zGZtNWrhwYFVXO5Hy1fXkqhkKqqekullKIiuYmJlrm5TlGRoEFCk0Ihp6YW7959MzBwKQ6tw8Y5rUdXwMYDhcNG9/L1tQWwd2/w/Pm9ta3ZOw6qolabmTOPHTs2m06nfv75hdLSGplMHhgYW1KyZ+t3rEePNCk64DjgzysoLzdWRbkcDvz84PAicG04HQAkJU0DLLGEwq4sFluQGkxs0tJKDh++W1lZU139lELxBZCRUbpjx3U2m15cLDA05M2f34vDYTSY2DSk7uzsDFat+lPlY9MpSSSJQBkZqblzo6LtqQAAmYJMpb3DqiBRTbWkMku3W6f9ffgj4H7q88Jd62YxGa8LejoXseR1nY8kEmnbqqmrvz25U4PJ+ey1pWD2ZkjNxfGg1zfYqlGj5p3yIQVYAQEBX3311b+9ig+G7kNmVnXtmec/32bccghLQWPC1APXtoHFxZB1AGDsWl8vpcmHTIyk6/Ce1+wSUhFqilV6ngAgFcC2L57ENU4gkaBvh65+9dFVfAAyHqDnfBg6g0wBADIFni+EMXOeIC0UXccAAIkCjh5u74GggKVjMbHb+PMP+3zUh4LHJ9BrcWNFEd8RBvYgU2HiBuDrfVWJGSVaWmylMufUqUEkEolkAzkf4AJAfj5OnQJBuGRl4fBhrF0bJRRKExMLmcwucvm4Pn1CaLToKVO8BgxwaJDQnD37OI/H+vTTs+sX97LlNI8V5K07jXC5TDKZ1HSfkSCIZcvOUalkPz/3YcO6LFly5scfp/F4rIyM0tOng5hM2ief9IuPD2Gz6WPHuj1/XhodXXrq1EAqlSEQXBUIaisqRKrTt24do9/8XlOFJ9ZFzbPRZTWY2OzcecPPzy01tTgw8HZFxbTSUvLPP99YvXpoYGDMTz+Fnju3yNXV9O7dtJdTd6tX+1+69InKx2btgk5QJb1/Vjx6ghhob1JKR4NaXlqoq/9KMbC3JPTq8f7ejV2N4HUFtYM65lXVgt37fxnkqTvN723Vxd6ItEwNA702ejmZDNqWWUO3rDuyk0FvY/9vdC9k5GPXJeg5d94a1ahR8wZ8MAGWQqFQKBQslvoL2RugZWQjJcT3r15lkBT6wgSqeTcTMy9SSXKzSZp8APCZhzsHGku1ACjqUJwMzxflRwSBaH/4LADimp1OENAyfvHCHIrQZ6U+AWeMAbg6Vo8dUtAo5pQXU69TqsLMsz7L9ei33qMNNh40/GiiA57fR205OHpQKiETIT4QXs1K7poaEgsE4tDQO1u32o8YYZ+QUFhTU+Hjk69Q1JHJ4pKS0d9/P75BCZNKpW3Z0v+bbwapymgaJDRnz36hm1AUjLom/jk3I3D6JpaOh3fLiumnT3P8/Nyb7jOSSKQFC3qXltakp5fk5lZQKOSFC30B5OdXqQKdIUMOhIWtDgyMSU8viYvLHzjQYeJEralTb8rlfcXi6mvXDoWHf15aWnPmzJPPpzf5/zEh09OrZuPwsjU/WR086OTlZbFu3eXdu29062ZGo1FGjBgSFvb7vn3bBAKhnZ2BtbUeAB8fawBBQXEMBk1lYlNeLlKl7pRKQuVjY2WlB9Tgrbn2N2/7H7L2z/dyswq5fW701JfaWjuD8tICBlHF4TTp02Tyb4YWTpt2tKhoN43WLFBeuPDk/v1TNDVbrxu7cePG9evXN23aqi0KBdHe/FyncPay+ddLk9ucpvdn6LxNc3YfDvjqk3FtTLUxQS8XaL61D4EaNWo6xAcTYAUHBw8ePPjfXsWHB/+zJ6qaNaK2NPfhHw/i7/I1bYwj/Dme40Bu/q8vl0JZBwod2U/A4iIzHHIp7v8MXRtY+SDavz4p1eIUYQmYPAAgkWDaLfxcTEgmZ/MXiSQSHj/T+XqHS0+P8okj8xF7CdrmrTe7EXISnUmhEOWVdF3z7og8CzoH+c/A0Ydnk5owZR0UsqaGxDt2XB8yxMnCIr+uLsfSsmrAAIfg4KpZs3yys8v//jt2wQQNHghUggU8PFnanSDI1fXF+EylEuLm3/8VYiiUeJqCx0moEaFnVywdj9S8lwMsFU33GQHY2/PpdGpoaGpMTF5Q0HLVnIZAp7hYoIqBysqEeBEGiURpw4bRqqupN2+Ou3zZVCCo5XILAapcqrx3Uhx1jzLErMR1q68vl8Q7I/r001grq5uamowTJ+Zeu5ZQVibcsmX0xYuXv/pK9uOPY6dNOxoTk9sgvdvUxGb69B7Tph0tLhYMG+YcHp6ZlKTn6OgVdTimj5to+GcdrIgSVym+W0CZNr+a+SY6lmwWk6aoElSVc7XeztixNR7cPDOiZ0sljpMnwz/6yCsoKN7Pz+2XX+5mZpbV1Ei2bBkDQC5XbtgQMHy487FjD1R7qWfOPI6JyaqsfFxcTLG392YwOPjnfH3qEUsordh4tyAkCj2curja5FTUnPgzdO5Lralq1Kh5f/hgAqywsLDt27f/26v4gCGx9c0Hf2Y2aFlF0p3Su/sib4Ua2zjoS7K0uvjWxz01hbi+DXxH8B1h4AgyDYWJMLABmYLYAJBpIBGIOIMGRxe5FI9+a1oXn/pc82r5p98sOg+SLyoyvav2ea9aEPLUetU3rpuHBnN5Wq0sqzILtVUgUVYuTLsYZLpgqgzGrhCWgkJFeSYMXjw1ZSJEnEbdsM2bJ6tyOffupTe4C1tZ6eXnV/n4WAcHJ9na6otE0rS0EogyGtrlToeXVygihlQO5rxKHzIkCuEJ8HHGJ36NO4MSGY5fw7wRADZuDNDT03B1rc+RNN1nJAhiwoSftbU5T59mW1npTZ9+FMDRo7MbAh1LS11VDLRqVaNHkMq5r6xMaG5e/PBhDJfLs7aetHluFKWa1LMv5u7lBD+a9OcBLonOdXMzSUjw+PJLeHkBwPjx3QCkpNCtrb0FgrrKSsrs2aN0dUNnzvQ2MdECsGvXxOpqMZXKSkuTm5lRx451YzAYDAappka2dStlzx7KJ940E7s3boirrVQ++Ut85zqHTCbP/0pi1eON4zM7c92k6Pve/TtfJZhEKGnN/2WrqsSFhdWLFvkePBji5+cWHZ3bEHkDmDXr2Pz5vZVKomEvNSjopkKRtWDBUj7fQDXi90rryHfCoRO2Y4cWtDGpuBKRKVgzDcDw/u7/O34tLDyxn0/ny1KoUaOmU/gwAiyRSMTlctX2OG8PiUTW7TJIl0UyfPQ/cWJcUUlBrozraK5DY7FBYWBUE4dHPRuE7IXQAz0X1tstA8h+gtJAhB2CuAK1VRi0GmQq/lwGPevnNht/PmW959tYUHwBQJOPmiI8OTmwMsetR7d1h2ftX3mDBiDhChKuw34A3CcCQNxVeM8GoMWtWzA1s/4uGvrQNgNBAABBoDQVT/+A7yd4zGhqSFxXp1DFKFu2jG7yAVsJHXp0JT+8rMX4wR/WxpjQF0oC355ENzuM6VU/40kS1s1qeZpKWXTn2W/mfI4dswFIpfJJkw7TaJSmVn2zZ/vIZHIymUylNvv9VAU6PB7rl1/uenqaHz/+0NnZeNGiPqqjY8a4DhrkCIDNpjeeXgJISQAHUEwdmwsATENoayXFE7/+Qs5KUjLZpMw8WmEhic+XLZw3/sbN80uXTNm9T3rsiI+TI7+hQL6smLx/r8TXRx50kUQQqKsTSyQoKyd98qmsTkxiUutcRrSrDEtUoQg+Io1+ylYqwWIS3v2w9jclk0tu7qPTXqKSSybMX9qBE9tEqWi5l3f+z1g+X/PmzcT09NKqqloAjZE3YGdnEB7+nEwmMRi02tpaf/9j1dXiU6f+97//hTAYpard1XexzldRVsGorKb18ix/3SShGP+7iA2zGwaWzxuxftcfpka6Nhbqxmo1at5HPowAy9/ff9y4tgoO1LQTuRhKOXPUAYaGkbSoQJIRKr22hqbJgfPoljNt+0FR12zEogdMsmDAg7QabpNVqS/ZuJ8ubLmXEmmxa31co3w5lQVjV9gNAM9E98GvM4dGXn3cdZwLwNLCkC8R9zcyH8GqJ+pqodla4bPdQMReRuRZyGph4oqh60Gh7djqAm6jbETTGEW17/bLLzMADB3aZejQLsj7q2HmnFnaSfmLqKvjEBSOHWdQK8GUAdh8HKm5ENSCw3ylJHo/d/RzB4cDURYAYYV40Sx7bXoJovOY2prQq2/PrO+Oq2MIxURaemU3t/oHHo8JCKvHurHO3YlZuKBLVycOpGUAACVEOfUxjqSJKJn8peooSREKrznpYvsniufXSyVhKd29NfhL67Mrd67cnOCjL55mfv+m/OK1+IleTCdbQWSs9p9XTfd/nUCjthYllGHyGNG68RpWzLyxW/T5Dq139ilkROjx2oC/tOcskY75XElhkAFK+0vaX0apJBhsbXJn+wMShDL06kljvZaNfn9ejLsc+JmGBoPP5/7551M0ibxJJNK2bWNnzTomFEp5vOqIiFA/v1k8HhvNd1cn9Ojclb6Sh091A24ar1/+2uqrrCIcD8LqqS302bd8MWXl1hPb10zjaXZC44IaNWo6FxJBvLkD7lvz66+/Ali8eHE7569du/b7779/lyv6/0RNPn5ywbgTcBgLIOrwbGsHM7ZZ1xphDYvFbhAWTwx9fvmGMUnLREAYMRhKAHV15G5dq+JT9m1xy0GPOUFPXB5E6lGpSgoZY3k73Kf1r5e5UiGuQtQFeM9RyS6kRpaGh7NmL2ve2KWU484BOA2FsWsr64w4A54RxOVwm1w/QtcGjYdbT+BoBNN6HaBKiVib2VrrgygbqP/d/vWsVXklY21DBbFEBiYd+87ji49aObFNxFL8fLnFuXKl8pe4lJ6GBp78l2qM9p6Xfj5pRdgTc02Ndd1dOnJHFSsOYuZQdG8sNjp8JnhIH1drc/6KPwRRxVWuVSO02CS+vmT53PQ2pN2ziiL2ZITLu2dkcyZNq/KdzQFQW6F4cE4S/YQhqKEC8B0gGrKEQ+6kr2AFhaXPq/V7DRzfiTFWeWl+8MWffD3MTI30Wh7jDwL9dXoUAoFg9+7ddnZOs2dPF4vrWKz6EK2hMYJVfuWfKXLftNe5hf9gS/4MRVFFs83rJpRX1mw74L9v0xxKa7KiP/wepmPRY9asl7KzatSoefd8ABmsgoICU9OWPm5qOo6mCVbmNDw8uvSdWnZ7R+GzhzXlBSyStEh3poFTv8s3jA0K4lZ8nMWxZQKNOxeBwcYPI/XC+358bo/5qEFF334ZX/8gr/EGk4vcp4i5CHkd6CxoW8Dco0HUys5T/8cj9Fl1NSRaE60pMhW9FiJkL3QsmwVnAKpywdCA/UA8PNLY2yirxO0wpOeh50hVSimiuGzbk5hvfbq56eu0+llv3Te4dsewf8/SRdMyG0drpcgshFyJWinYr9TOfiUMOsgUrPoR80fB2VI1JlUoEyqquHR6ywDrxHWY6tPIFG9DPStuh4QDhGKwGKCQYawHJ4umR6aM7nXk7K01n/jtmsLJE5JseAkSKYXJaEdYoMHq3rW8+xL69hlSO2/akwuiS2c1OWxlv2FYsrO+r/Rt8lUvY66H6gAAIABJREFUo6nBrstM+Pv3Zyxti4Gj53ZYE0sqqY28f7WsMIOklHBZpInDXGmthR2oiGzZw9GEYwEhyTFpa5ZN1dPhoeQOC42NlTwAJWChM/XuX48Wt664jMnXa2JuoySQWQhhLRRKXH+MwV4v+yw1oKut+ensYd8d+mvjirc1SVSjRk3n8gEEWH/88cfMma15mqrpMPTGJz3TaaSp08h7N89xlbnODuY1YVUpzzVXLkrniplIvQPbZs1ZY4cU3LonKCln7Fgb3+xBrnomSwTosxw8IyRdh8NQNKmZI5Ewrl/y9TPkEXMtm60k/m90m4QrG6FrgX7LQKajugCSalRkwWUMABg5I/g7dBkBUw/ceYz8cswb2XC2DU+zm56ORWuBS1Epc89h+77eZXs3xrY8djgAVsYAoOzQQ5RMwueTsP0UHBrVtDk06oG+PWgtGi33/4l+bv/H3nkGRHW8Xfxsb8Cy9N57F5EqqKioIGI3xm5s6UWTmMTYEk1iLDHRxJhii73GriiCFZXee++9LWy/74ddYEEUWyL5v/v7tMzOzJ17ac8+88w58LQjAwucbJ/hEvczEJeN1naQSFBno6IO70+FlgbW/AkqBQtC4WAGgMfl1De1EgTBoFCsueoAniq6AvDnRSwMBSAUknd+QbewkG08JSWRyS83qFJGXZ0zwt8ZQF1Dy9n963SMnfxHTnvWMKumsjjq9M6R/nYB9jb9dFUW3VCeoa559Y5T9yBePStEhyOB8IllT/8Ki2cWrPzW9aPFuUb6HSymFNfjcTcNLlbQ1gCFjHenoL/tP3trI19Pu98PX180c+S/s2YVKlQ8Df+BAKu+vl5lj/PPImgMJCdeyBe4OZj4j9RG6WnkFsJ0MMgUyMQgkdFUieuboKYNdX0tLneCzSlcv4LQdSCkIFEAoDYPVRlwDlWkDRzHorUaUhE0u0OQYdNM31hsMG5+z39pzuPB5mHqduRG4fQnMHSCnh3oapCKkXkZTqGw9IeRCx4cAJuHikKY9/A91GIy1vv17cHHYUm+WpHOYkoBoL4F/A6Ydf4UyQhMHNqrnOWZ0VLHjtP4oDttwHh088vSEFUNT5pELEFCDrwcIBKjtgn5FYhJAlcNmmqYNRqanYFjCx87TqGmCStnobUdOaXoNG/x87R7kJSn8Kd7eqhkeQHZ6iPMtg5tDV1yQ5NIW6t3Mq+9Q8KgUygUpe1GUX3fJj9PjY6WxuSQQQ0xSalvTB20/+xTjpJJpfF3L1cX3J0e6kV+Xou9ExdjE9MKN6147UxpxRRbi+eb5KWjriZZvzz92HnTzDz1RcPj3HLL8eW8Z51kdKDbvhPR1++kjgx4gT1oFSpUvFQGeoCVmJjo4eHRfz8VLwJDA40F7m0ZpBw+qEyUxKEsASbusB+F5iqknAaJhJGfgGcCAFe2wGomMi/j0jow2Aj+GADiDyHw7R6bMi2VyIrEyI+7Gsg0mrHWI9FG+nk4hYKjDdtgmHiC1Snl0FSGmzvgFKpYnudriDuOm/n4qh+lSpmMRBCgUAh1NSXf352nIRLjoxmgkLHnEsz0cSQK88c+39NS8OZE6Xs/kjOKSE4W3Y3ldXiQiUmKo4JwMENsRt/DJVJkl+DMbbhaYftxUCiwMgKLjrUL0NgKXk9xSA1O9yHH8lqoddechQZ7btxx6pkDLBYTtU3Q1aRq6Ja3m85ecIrHY5NIpP37u6X8T5xIiIzMMTHhffllWPfA+gfPH2C18CGXzjp0TaupLX2cZ3lxjrG53ZMHFeWmpj64IhM1udrqDwl+akPrnhSUVO/Ye3lamN/UUF8Acx2tn2+efwhtnujNOfkyGenNUK2RSxZ7FvE1NcQ6Wv2ougNITNf8+6qRTEaSSEhSmevJi5uLSh001C0BWJu3NTTRny9Fq0KFipfCQA+wVPY4/wYkCoatbix738RxLKqzQOcgdE23NAObB+cwsDuLnOoL0dGAcashk4DKBACJACQSOD1rjwgZSEqZBoJAyikR5gFtAFCbh9zrIFHR3tA9kKUklKVp0kPXtCIFJ/LxyTLoGUmkUurjC6W/2ekwQ/SXjU4t5inFT2pMLJyCbcegxsKSCTh2AzWNz/aIlGhta3+QXMBiUkv8vWz/uu5hrkNZ2qntdC0OVAo2HQaDBokUJMDiMeYwP52EgzkWhMJmkIyi1tgk1Nbq1D7g9j1CgQ4LvsZdpWN0QEKJFrHs6PTOk3TCWghq+rmHuWOw8QDenwoL02vXMsPCXJctCzpzJiklpWzXrpsMBnXt2vDffrtla6snVzzPz69V+Bt+bvE8x9U6hPjhBDTYaOuAQITRXvB3CZARF27sr7TxHxwwrk9xjczku2n3z9mYao7zN6dSLZ7jsgDEEumOvZdkMuLbz2bRH6eCNjAg55f+OivjpvHr9xK0q2sZWpqihTOK+uxJEDh0xiwlizvIuenzd7LoNJm8sbAsYvXmfW/Pnclmqadlc/V0hDfu6Yapsv8qVLwiBvRfHJU9zr/E2TcQtErDzLMk9pKZ7zjo9xTFth2B5NPwe0PxpUwChgbI1O581bXvYDOs95w0FprKFa9zolCXD4fRgb6N+76tmOe+By2VMHQGz7B72kfRslB67QyzgkZtvZv7bogKqc36+oMDTQe5dP9gtLZRcwrV/75qNIwbZ6PXjNKmHlMJJdBUw7qFii8XPyJI8SxE388eGv6eUNDhE26StnsL/8p5jbJaVNThYRY6hFjxGtqFaG6DYc+IUyrDxgOgkOFsifAASGUY5wMgvZj+6eqoRxNIfbJlS+TChSN4vB5BTtjkeZfuFEZEdAZ5LUT/ARaHiS/nYcMBbHCYN89v1aq/AwI2DRpkduFC6tq14Q8eFB058nDsWOchQyx27LgBjOyy/YmMroh45FvdPz8cx8Iw6Pc41kcmk8JHeuQW5J74/a6apgFbTVPQ3iro4JPJJDKIutoqNoOYFub37Bfr5ub9jOMX7r01d6yjjfGLzPNvIJXhr6v4cl4QtQ6oA/Dl5r49BNOyNX47ZDV7cvGsSSXK7SQSrEwFP2+Y8Nm3u7etme/u1AwgJbeOTrf8F5avQoWKRxnQAZbKHudfYsIfAMynbL64+0MTGSE37OtG0wR1+d1fyiSQyaBcBkOmwuoRW1x9x24fw7ybCF0LIHw6duwdmWHj6mRZi7Ik8EwgE4PcU8Qo5ic0V4BrBKkIMokijMvNJkjCnbPz+EIbPSsB5Vbbmgc+Z/5IJZOJljbalt22dBrhYt/8/sJc7Q17sPktXLiHg5GYNRoAMoth+XI8hgmCuHozzdDaj6etD6A86QHn2iWNoa7YcQpjfbAgNKWoEukFjnZmNMNHxBpIJKix8eE03E7B+r1d58KuRRV0JZD4fGFVVYsiV7R56sGD99PTK0ePdjx5MkHeoqHBrKlp+frrC83NHd9/P/Wbby5t2jSltpZ95kyki4v/li2RDAZ17XLbJ6fAFDDp+GAaopMOt8i++iqCx2MvWrT/woXU3bvnGBtrZmZWstndNWpK/oZU4FlKoKQy/H4e3o69oqsubK2Mba2MJRKJUCimM7RoVIXhdX4h7eqtHq6XTS1td+NyHKwNrcz7/242NLX9uOeitbnBT+sfH8H3pLK6/kJ06iAn88GuryIiOXYDM4J7CTE8SNLy9uixqx51V+9hMm/r6uRuwbmeaKixViydsGbL0W9WzgJApRDUAf03XoWK/2Uoa9eu/fevGh8fD2Dw4H7cKP78888FCxb0uX2g4p+Arml6J+aKjbkBqVeM1VQKE0UlXHR07PCQET327/QdEH8ETC44nduIhBQkMjSNUXAbeTGw8O6qdne2azl42izApwmaJpAIkXAMpp49rtVQiOEfwNwL9QXQd0DKKdDYyDmZeIld3GDwRaR9wAQdH8MyJ/PWo7GuYgl51wHrFUtyxw6vcrBuZbOkeJCJIHfYmUIoxl9XUVSJpDwsDMWL2QC0tPLrGluv38lwC5rl6BEgb6xrrm3j8g1crTDGG3amTR2C9FIY2A//a/9+rgZbV7tnnEMi4V4a/Fxgpo/hg6CnCDgcBg06ejJrw4aLHR3iiAj3tLQKb2+L5OQyEol0927+sGF2PB6nq+Xmzdw7d/JCQpxJJNKDB4U1Na2WljpbtkS6uNBOnSpau3YilUp5EJvj5fh0N8tmwNFJRDFYvPhAUlJpQUHd8uWjN2+OjInJee+94NzcGhMT3oMHhVOnDr56NaO1VZCbW0OSiUb5P8tJww37ER4Ar95Ggb0gk8l0Oo2i9D2qb2wtquooq2yorW8qr6p/mFZ26doDbZ6Gj4dt7x/OnhAEcfD0rbORcR8vi/B27++woRJqHFZheSuYRhRZk0gkZrOY/95fnhY+rsd3l+4BAIb71v122HKEX21XS3qOxvXbep+9nf3kn2Uel0OnUS9FJ3q5Wd9PLmZpGru7u/9DC1ehQsUTGLifbvh8vrq6usoe59/E3NqZQX8j/8hrGs5B+q7+ALozTMI2MNQAQM8WlJ45JzU9uE9CwlE0FKKhBDIJhHww1SCVgF+HkFXKwQ2bJWls7hzO1ICos2I6Jwqmg0GhgsYEABIFQ+ag4A6MByE7siHTe1XZG3vDfqBSfABAUu/ekFxh61hVy9y6Orl7JUl56Co5H+IAF0us2wt1NvgCcJ9fgKCppe2PI1E0Gn3O21/ztA262q3sPU7cOuNqoteV86uuLGKxNZztTW4+zM/Iq5o6bki/kx8+ltaVQIqLK1bKFckA+Ppa/fRTlHJLcXFjlwPjsGF2O3dG6+qqz54dGhHxuZHRUmNjzcwUgPPUORi6VkCAZXT08vp6vo6OGoDJkwex2XQSiWRnpw8gIMAaSrY/HeX3ICvvZ05lqFTYPoOIXYdAmFdYWVzZTGHpLVmxlUQiNdRVScSi2mtHJof6Otj0M9XD5LwDp24umD5i9uSgZ1gkAIBEIjGoxMgJ82OjTsnaiMg7sbMiXmiD8mmJTsLdVLw9uVczmUxIJIpfnA4B5eBps7vx2r9vin+aKYN8nIrL6y5EJfRqb2trU1NTE4lEdDpdKBRWVlY2NTVxuVxLS9U2ogoVL5+BG2CdOHFiwoQJr3oV/+8wMLXRX3Kq7ORH5RmRDHVNHQ4JNCYcx0LEVwRYdA4K78LEUxEJAajJRm409B3RWgUdS1j4gdZZHVUYi/OfIWQVmIpjcSQSDPSEpRVsU6N2nHwPVBZi/4SWBcoSYROIxJOwUfocbxUAoEnI+2Kv98FPzvMiXle0h47Fpu/HFWzAG28AwKX7yCwCg462Dqx4rXs4i4GPpmPjX2hue5EA62Fy4Zsrd7A5Go++5e4fnpZ9w83RAkBhaY2eocX92xesrG1oEJIYFrmF5baWStU/OpqIzUBPd143F/2JE3/28DAtLW309DQ7fjy+y61F3kHZvwXA3Lm+ly+nyx0YfX2t5s/f+8cfcy0sLCws6HPn7unoEI0YYT9m5u0zZ96Sq5Nv23Zt3jw/LS3F7Z88meDqanzhQqpyI4lEkkdXADiyErT1cfaMSwZawaLyIXrqB7f3MoY9be4kMa2wqLJdTcvI2ikkdKRzl+A7lUa/cuLHEH9rbd6Tdj4bmtp27L2span2w5oFvfe4nxo6jSwSCf1GTgUglYgbm1p5mur9jnoeyutwPBodQghFGOLQhw8mACDQu+6LTS4EATZLOi2sbJGyWG5/zJkctP6HE2IwtDq1aRsaGubPnx8WFlZRUfHpp5/u378/JycnIiKCRuttNKRChYqXwsANsLKysubNe2Y9GBUvDin7rKm+HgyNkgoKdYbNQ1UG6otgo5QSyLgIcx/F68oU1BfDex5oTKRfANe4O7oCYOkLY1c8OABDZxAEKGSYek0eW34p2mDJ6wXQtYP1UNCYKIqFsRvINEjaIZWgJycO4eMlN3lDOmt+2xvA1sInHyP0TTRwIBYj0B0fzehWAVBGj4cf3n3BB0KnUyVicZ9v2ToNPnbnnIFuk56OZklFy5iZbzdWZGgbWA0dO7++urQsP6ZHgDVrNK48wLq9eDOia4swwM9UOYHUnSvq9G/pamlq6pgz58+wMNfJkwcBkNdI5eR8JZ8nLMzf39/f2dmeRCJlZ1fHxRVlZVWlp1dyucy4uKITJxIdHQ0+/HDUjz9GDRliYW+vv2/fvaqqltZWwdq14a2tgq7CL3ZzWkxZ+ZXiitU+7swXsbU5cxu3klHTiNupCPOF85NyJLmFFe00i0kLp/Vqr68tv35i++SQQQz6Y4MAiUS6/2RMfnH1R4vHa/NeKB4a7GJ+bv/XTHUdKo1ZVZrjZ+/7IrM9lvI6/H4eH8/s10Vg7PCqscOrnvs6q96bMunNnSZ27fIvt23b5uTkVF5ePnr06Lq6uokTJ27evDkjI0Olg6NCxT/EAA2wVPY4rxLvd0R1eXRhPTfzXQAwcELhHZz5GNqW8J6Dlio0VeD6JjC5oDEgaIV1oCKb5RSKS2sRuq7HbHQOIIOxOxhqiD+C1AuaQrWmxCWYqQWGmiJQu79fUSYvEaMiBV0fumUSkKmtZFPtxt+AOQDQVIbLXyF8I/bfwgczMDwAXf96H42uXhKudiYXjmydsXh9nz56Uxd+eXLvhpFDKKBymCwOnaNdW56npWt8/ugvevp6w/2cukt5KGSE+mLEIPxxAWb6mBAAAG15pI4KHTLQWc3MBdAAFoCO7pbmSoG4DYtnGvCIDMhdVQRAQQXyyzF6CIBpo2xWbNhtaxvS0MBvbRX4+FgePRo3YoR9ZGTmgQP3x41z4XAYQqFk7Fjn4GCHPXvutreLli4NKi6uP3cuxdZWT3FIMDIzYjBaRZJ2iUT2gi6l99Lw+ycgkUAQ+Go/zA2U5bu6EAhE0fezxCSN8Fm9oysAty4dmDxu8BNUOWJiM05dur9o5siFM4JfaLUAAB0tjaljO6W2vHVffMLHXIYLddbzeDQ9I2QyKdDbkcFQXGjcuHGHDh3icrkxMTHLly9nsVgkEkkqldbW1j55HhUqVDwfAzTAUtnjvFpK/pxBZaqTQCi02i0DYBmAilTEHUJFCr7cjYLbkIpgGwyxALF/wMQTJBJIJOjaKs4AKkOiKKwGvV4HcOGs6chZTZDUwna4okPQO0j5GwbO8FuMG5ujk23rNUekZHFREv/5d1R+QxtLg4Hbu2DkiuzrGPUxaEyk3UHIYjw+sfES0eKpB3tbnNr33dhp76mp97blIVMok+Z9dunYDo+AcABjp7//1fJpYTOXj52yJO72xX3Ho1+LCGAylFTjWQy8MxmbDiPYE2qs/iUVgHqB8M2oexOsTGcHWstNGBVQW3Dxb3hpgk7j0VBYWDZxomF4ePeunK+vVWRk5uuvexcV1e/cGe3nZ6U8rY2NLp8vzM2t6VX4Nd7SZLzlC3+8mTocu/7GmxNBImG8H648wJTeAg/1jS2Rd/LCZn2srtH3GUMKjXnsUpqwrXbBa71PExeW1vy8/4rPINvt6/rRtnjlEARx6nIcjc70dTfV09EEgwYqte+E68uGRqVSOsNTf39/f39/ABKJhEqlAvj+++//6QWoUPH/mQFaQq6yx3m18F4/lFpUk8X2VjjhyDFyhc8CWAeBTIXNcNiHgExFUSzIFHQlacwGI+EoWpX2Ne7uhlIuRCIhxaXwBnu0gl+D6mxFq7YlNI0BgEzeUbKrVc3Djv3g/YX5i2cVfrhI3FDWSveeDOuhoLOgaQwdG9A5+OYLbNyJ9heybekTfjtV+fWW3XZfbHL5+UBAYuK49Z9d6XMIlUoLf/1Dc2sXABpcrTfe+0osFg4ZOs7FM6Cysvzn/ZfjUvJ6j5k/Fn9efMolqdNpg/W0h+j3zKnklOLTXxDo1hVlWpg75uR0SxswmTT5g799O6+wsM7ISJPNppmZaZ05k8Rk0phMGplMplLJNBqFRqPw+cLq6taUlDKQqCBRe3zfn48hDmAyUF4HAGfvINz/0S7JGaWhr694XHRFEISGpo4Gm5geHqDczm8Xfr/r7LHzd9cvnyFXZh/gZOSWOvtOHD93TdSDIrFECgAzgrH7HF4wR/i8UFXKDSpU/CsMxN80lT3OK0fbxN7D3qK47JZINFQhEZ52Fi1VMHLtrm0HIBYgJwr+i7pb9B3B4qE8FbIESISwDkJLJey60w+Rt/QnjK4AAA0T5G2H83jFGcNB00AQIJHqyvnvWH8PiQi85VreLj8v+0VC4oA8F4YuAGDSqemgoYmP5uGTjdiyFoxnzmO1d1AEQoqWHltG0WxsEmnxGL/u1S2roFEoYDBkNbW0SWFNNBpx+CRv5QdVxoZ8iUSSV1xN0A36nxpwcFMEE4Ehr1k7emUm3iypb7i+80T4aB8nu05zRj0eXCyx7RiWRvS7W0Qnkz/16ukxt+EAuBxw2GhtR7tQPsOvuz79euN3XV0WLPBftuwvHo/d3i6i0yl//jlXTY05a5aP8jTBwQ7BwQ4AtmyJ/OKL0G4JU1E9qm88zc0+FqkMRZXgcvAwCz5OfeYamUyqSCh4tF0kFDy8dbaqKNXLxdDcpftPgUxGHDpzKyWr+MNF4w31+g7LBiDZBTWTgn1IJLKOgaVYLKZRKdDnYbQX1u3FjGA4mvc/hQoVKv6DDMQAS2WPMxCgaFmatVfTupQPW2th4AhzX6BU0ULIEPcXRO0Kj8IupALUZkHUAb9F4NdD3wm1OfLzgAAYDJlITAYAMhnec3H2U4zfACodAFJOozaPVjuvHlbaw8cpZhv6JjXyW8jEEAuRHwMnJV88Z0+8pYWjUZg7Rvn6QhG5sobFoEsN9br/eZdVss5fN1TnSPKL1eoa6c0tNCP9DiGJee1moYFBB5lMzJkz+OvlnXcgRVSUXlM7tv4MGk0PABXYu/VURkbS2bMBUqnMwODj/fsXjBvn0uuh9TqyB8DI1MbI1KYkP93Tmmls1DMFFewJR3P8fBraGpgzppfIJNRttvxWceFiuoGBRn09/8zJN+Q1751XCrl1IyfFpOHtxX5o7wCdBgadRqHJpBJhRxuDwQCJpOyBc+xYvEQiW7Xq77ffHt7eLlJIkq4N37fvXl5ejUgktbDQJpNJFRVNW7ZENjd3fL8h+IXil5MxyCnD3LFQY8HRHLvPymXre1HfKNDWVaiGtjY33L56SNfAnKOhnR57NtDLOsC+xwnEyFspF67HP58EwyukobGFa2BPIpEBdLQ1slkWijfcbVDfgsRcVYClQsX/KgMuwJJIJBKJRGWP88oxmrYz88K281fvjhvlS6VSYemL1LOwUtJQqM2Drg0MHNHRppAYFfFxaT0oVIz8WGEsyNaCuh7ybnUNGuZT+/kml1FDawDA2B31Bci6ApdwAHCfjPgjbXyqVsC4HrqgIz4EmQYGDZXp0DSFkVv3W+V16MoJAYnpmgdPm2nzRNo8kUhELq1kDR1SZ2LYcfKisZam+LUJpW18akhQtZamSC6EvXmfdM4cUyen4SdOVISFCfPzu1XU8/NjCwvrrlwRrF0brqenOJtWUFDX0iKIjy/mclmVlc0LF+5TllxfuNBfTY3R63SePJRZttglI6PE2FCn91M21MaK15BXjvV78cF0aCkdgiPRQaZ9tHzM+PFu77575OjJ9AcPiuRRUUMDf9OmK/X1/GHD7PLLBd9+e4XNpk+Y4G5hoZ2RyZg2Y11Q0Ggul63sgcNm04e985WTt66u/vg3lx5as2a83A/nwYOiuXN9W1sFU6f+unBhwLffXh41yjEnp3rXb/c/e74jvM18bD2GMN/uiis1FiyNHtWnEIrEUjK76wTAjQv7uLTmezfifQc5TA31Uu6ZnFG070TMcD/nH9YO9HKrR5HJZExWp8CETEniorEVKQX4YOorWZUKFSr+BQZcgHXt2rXRo0e/6lWoAICCxGvmTP6laHb4KE8YOIMAWioV79XloywBHtMUku4yKaK2gkzCuNWg9yzdrctH0T2I2qBrA0NXirDVvm1/xu5EJx8e3CfBZTyK7uHmDlRnYdoOEFK6th6JJELGRdgGK7YjqZ07aB2t0OvUBM/LwqXrEHHwfreG0N5jFj+sTVLW3z51yTi/WO2Ld7NYTOmjN7honv2q7zJPn741aJAZl/taSkpT12G6pKTSOXN85Yfs3nhDkX4LD3f7+++ke/cKpkzxrK/nd3VOTi4bMcLezc3k559jlE/nxcYWyEOZs+eyTLU1f/zjXMRYX5tH7Z9tjPHxTPx5EXQqZodAvdtqcPPmyP37Y9ls+o0b2Rs2TJRHRbdv523YMPHkyQQAmzZdWbEi5OzZ5Ly8miNHHm7f/u4HH3z82WenY2JWHD78UFnCVH+kellZI4Dq6hYjI025Hw4AT0+z4uJ6+eUKC+sVKqamOsATD5e1dWDHKSyZAC113EtHWiEIAhYGuJ2Cj2cq3wIAGGlD2FvnIvJW2vCID7q+HBWx6PSe9e8uCFPuU1ZZ/8eRKBND7U2fz6ZSX7gs7FWQllNu4935sUQ5wGLQIepb+0OFChX/Gwy4ACsmJmbDhg2vehUqUF1RrO0aoMsWVF45JjBtY1r7wMAJYoWmDoruYfCs7tp2MgX+byB2T+/oSsRH8UMELAWdBX4jLqxGU/nr897/7sLmNe4ZAECmwcAVVkGIP4SLq0Eia/EkNWUdeqaD8WAvApb1mM02COc/x/D3EXcVBzIxPQhh3VK0rW1UU6P2Xu4mk8c9SXb88InsJ6iodx2y6+o/frzb1q2RABwcDG7fzm1rEypLrnd16xrYFcrcv9dmxBW5eg0vqCcnZyVamWg42Zn10HZSZ+P9qahrxm/nQACG2ljmBGDFitHjx7sBmDBhZ1dUVF/PNzbWNDPTqqpqqalptbXVs7LSqatrk19OX19bIqmytzcgCHRJmA4ebLZ93Yw5c/5MSSp/7bUhcknSb76ZtH79hWnTfiWTyWFhrgCWLAk8ejSurq5t7cqAxwZY9S04GoXWdswJwYHS+0DqAAAgAElEQVQrEEtgqqfIVxVWYPX83nudAB5kYWm4/GVxWU1SepGdlbGuuVdlSfaVY1vVtUwoFKqgqWTiqO7cZGMzf+e+y1Kp7KPF49X70ncYyIhE4qqa+pLKpvpmsam9j4mFvby9XShpamnT1FADADYDBAG+ABzmk+ZSoULFf5aBFWC1tbVpaGio7HEGAtVJ56wM1PWM7OoSr9bW1JtW/Qq/hUg8jqJ0JADqBugVy1Sl924BEH8UXq+DoQ4AHF2ErQVBMJNOCkVkkZhMp8kAgM0DAIcxaG9E4NvhhjUXTjIXfKiP8jSknQOVAYcQxWz2o1Gbh/ZGeI3B2Wy49aj7FonJNNqzHctyc9Z5gor6o1Z0amoMCoUcFGQrkxEEgV6S6110DVQOZeTOMwAIgigtzLp674KlPtXF3qS9Q5CcUaLNY2tx1dgcJu29qTQqBXsvo7XHAUnlqczNtWfO/L26umX6dK8ZM7xmzvw9Obl0+fLR8j719RpOTkUAAgKslSVMAZw58xYAT0+ziAh3uR8OgJMnl1GplFmz/qDRKOHhbiNHOgBgV+Q/9n//D8fxYedu5vs9d7i07LteCkXijNzSsspmOo0SXNNIo9P47YLI2xnapu419WlkltTNxzbl1uEZoYMFAhEAJlMhQNUhEO0+dK2xue3tuWN1tftQzx+wVNU03owroTLV2GrqhqZOTkFOWjo9TkVMmrfq2pndXHpFgJcdAMgIVXSlQsX/MCTiVRwV3r17N4AlS5b0at+7d6+vr6+DQz/WsCr+BXJ2jLMJm0emUjNvXZE2lLo4WCLzIjymr13/09q3wzB4Zu8BbTWI2YGhS8Ht1C4nCMT9hSGP2IA0lRW02P960OqbT9PI5M4fv8ZiUBjQMIBMtvrNmvW/GkDUjuYyEICeXY+rxB/GsPdRUoRNv4DDxKoPoa5JEPhwnfvHy3KMDTp6X+4JcJ0JdQflEKSXivqTeZrOfL6wK5TpxZFfV2mwSVIKz3v4lPys5Jz0O/y2ZhaDaWuuHeBkSc4GJs5+3FQtLQI1NQaZTNq3756Tk+GePXdnz/bx97eW9/n888+/+eabroEEQXQtQCYjyGQSwW8l0QmAdOVq9shg2+ZmwZ17hRPGOytdrBYL5+PbpWApnXCUSPH1foQMgX/v6n45yZnFlTVNbR0yBpNDY3EdBw03s3Jqr6+9tXN9h7E6S9M0cMysyDO7xa1lzR0kV1v9Ie42yrY2Yol03/HotOySd+aPs7F4qgObA4qTV5ImLVzf7+fD/MyEwrjTo8z08OcFfL3oyZ1fkO37YrTMvefM6duKR4UKFf8oAyuDlZ2dPX/+/Fe9ChUAAEJMplIBmAwKTN/3Xb1TkPb4r5F2HjxThSlhL9T0MOpj3NkFnhncJ4MAcq7DwKmPnpomVo2RsyeN27TLfuVbWQDQVIqcaPjMAwAyWQo6ANDZ0LVDc4ViVEczkk5AKlKIv5tZYMd3SMnKPVRe52VdXM4ODqh9tugKgKCGBEKHDrQoGrgkoAUsAI8pj2nvEBaW1uuZ2Orom3G5LABPDsU4nMdKMExbtFYmk9FodAB/7fzMxd68jcGzdhuhpWt86NL+IQEh9j37K0+loaHIfIwe7XjkSNy7745wdDTs6mNpaZmfn29tbS3voxzeyQMaYUtuZG5MuKXpGDegrkgbmOAFVJX1uF6AK+qaYaoHAFIZEnJw9g6WTYBx3xLnRaXVzTLDkdPfodJo8kNzimXr6I1Z/aNIKGAw2Vkp9yx0EJlREzrSy9m++/ScTEacunz/zsOs+dOGL5o58nFPbCDTxu9Q1zZ7muy7taOncN1K+DngZajPq1ChYsAygAKs8vJyU1PT/vup+HcgFI6/6mpssf2KO0nsCbYUeEzD6dJuBfZeMNTB5MF1Iggg8ThoDBh09ky/gNYaeM/FrZ9h5Qd+g6tw18My+1uxwYH8z8A1gZciJVac2WJhr7RvUpeHxOOgs+E8CyM3gKZUPS2TQNrAnexdUKzNM0JIMB8krT7X1drWDkCNwyKRSBBUQ9hZXSSs7X79dPx87AqlpnlsiN+DKw1CKc17xHQTy+dMuFIo3R4w1s7eRcWZMhkyjv1KELB1GtTaITn463qaqGnc1ftqQ11JEUPB6SxF+uE4Jg+DmR4AI+CjaShtjSzOIMyP3cSkQMRnTfOx3/3H2k8DXHErFfwOjPGGuzWqG7HrLFbNRrvg59yi8wUlnrraxmrsx6wOGOqGGwmYNRp30xAZh0A3rOmjvorfLqisrlNX48SmlM1Y+lafuToSicxgsgFkJUQFe5tUVlU62Cp+0wmCOH89Pvpe+syIof8J1dDHkZhe5Dl04VN2zgrxdxrddxZQhQoV/zMMoADryJEjKnucAURngAWgRuRgYtOhcMvTNAEhw5GlmLYdlJ4VJKlnIREoDv15vY7sa4g/CN830FiM8hR4TEL6JTSXw9QLxmKUxC1cKn1vTd2gOQZqXrO65uALGFxtpTSAdRDUtHFz18rEpRkZ986efbuHDNUEFz1gjCeejLpSJU92foUOpVmbx3189ydCp4LHcbQzdbQzlUllsUkn79+QDQqYYG7jTKE8/2/TIN+QEh09Gp1t6+zdWFd19czv966flEpFpUWFJR0NZiUVXp//psNlq4/xJvk6451J+Go/lCxiNj5MlkK2u74JWmoY7cUDGpvaCFdLkpsVAHx3CAY8/HEeK2eCQoY6+z0PhzBL4ydFVwCMtFFcjVspuJWMNfP77CKTys5Gpbv7Tbibds/Za2yv6OpO5JGq0txxM95jczqfNomUnV/u6OBIIZMJgvj76sOb9zMnj/PZ8uV/3ta9oVWio2/cfz8AgIWDb2FJnqXZf28bVIUKFU/PAAqwGhoaVPY4A4fjRepzrh8yG/k6gLHDq1d+6zLIpUlRll6aADoHDWVoq4OmMVgaYHIhaEZTKYa+1T2FtT8uRqImC8UPEfg2WBpIvwBdWwAg02DhB+Cz97PLCoyUU0CZlVaWHu1Ao+JrgkDBXbhG4HoPGSoA+fm1XYKZhw8/LCysa20VzJnj+9tvt+TyVBUVTd99d4XFov3ww4zCwjp551WrxqbcK216mOhmZ2BmrEujPduvwIqJ3RtYZArZf7C9VCZLy7p68e4xlpb5qIjeZYVPibmVk7mVU3riza2rF3LYbAc3b3efMWbWznt//LzesKLDyEr3mxXZyXdE507pHIoyYlDUxBKZVEamkAFAb/jn49ykUqnUX0bRU/wG+QV33C9W9/X2AoDvg1BeixVDYaQtFxijAvYGAL8Y/MLHrikyDlnFGO6BlY/92JNTWD4oIMLcxiU3/kxRyiVjC3vlsm5+WwuJRCaTaTKZLDU+xtkjwNYt6NKxn5wcbc9di7t+OzV8tNfW1f/50EoOmUzvv1MnHj6jj++OMjbQpv8rZpoqVKh4JQyUACshIcHd3b3/fir+LSZpF3DVFN8RDluyYmnOR+vdZ08qFggpMPeFkQsivwPXCIauMBmE8iSUxMFnfg+B0LzbELRCyIfdKLA0AGDIHOTfVr6K4SB7Q8FtuUmOvCX1ZuXkjVK01kBdHwCkIrC1YeKBnjJUAL799nKXYGaXbNWuXTFvvjlMLk91/nzKp5+Oyc6uLi6u7+p84kTS0qXzJBJxRtLtqISs9tY6LXUM83F87gdFIZPdnSzdnZBTWBlz6a9h454/C+s8KOi9L83VNHgcNUXObday1fIXbI6GV2AYAsPEYlHy/Wu033cnbztuHeTm7myx/L3LeXm1tbWtrq7GdnZ6774brKXFGTdhxtdff+0bOFYxtY1eH9cT1j1pNYWV2PHBEwyJCYJIyqqctsSL39bS0NjKYrGUs54AQiYpws3zh7cS/DJhR6vToGGl9dL0c3dmTwn6L6qGPgnyM4RKZAolaMKya3cuiNuqwoLdureKVahQ8T/EQAmwzp07p7LHGTi01xbStIy5TEDcARoLgLlx+7crU6Njde/fIe9Vp8x/WxcTN3cPyLsB98ndIlgEgYcHYOiMiZtBV9qHUtODcxg6GsFSMmJhcZF/Czad/idSMamtFn9/AvdJcJ0AKgMUOprKAD1lGSo8IpgpV586dSrRwkJHLk9VUdFkaakjlRIsFr1XZyqV5uY1ws1rBIDcjLgHyde83W1e8KHZWRrWxmXnZyVaOwx67kn0jXoYp7A5vXUKaDS619BQDA11I4jykrz7Kbd//XXB9etZt2/nrVkz/rffbpHJpN9+u5WeXllTUzt//h9sNmvz5qn798fKM3xyfXmFYP0at8fuEYolqKiDRNbnm41NrXcSCiRgBYUtoVCoGlyt+ct3CAUCJqvv+arKi2ycfYqqBEfXrtfT4mz/8rVnfCoDHZlURqI+QwYLgKGxleH0d+trK06d2DZ5nJcqxlKh4n+PAaE4JbfHYTJVkjADhcq6Rlh4Q88eCcdwYTWuboRMrMaRjB9ZOcwixszd6KvtSikfYRtqspF+obtFno4yHdwjupLDr0NFao8WiQhV6ci5gUvrEbWFaK5CwlFwtNBUint7kH0djqMRuwedMlQjRtgDIJFIctmnTZuuTJs2GJ1n5WQyokueas4c33nz9i5ffpzLZfXqrIytk1dFnQgvgwAv+4SYI0JBe/9dXxgSiWRibjsyvEceKD6+pKNDnJxcFhhoExQU7OQkBSAXpp8wwX3oUJtz51LKy5uWLAkEEBlV3Me8p25i2zFsOozF43tY9ygRl1roPmz2xHmfG5nZdC6G/LjoSiwW0/W8Tl26b2pqumXLlkGeXu0d3R6RBEHcfpidnFna59j/Chm5pbbOfs8xUFvXyG/sG/EpBS99SQrupCA//5+aXIUKFU9kQGSwIiMjVfY4A4qq8jxHEyvwNGDoDADNlbi3B57TIRWDXx/sX5WZz03N4ro6NANAwW2oG6IoFmwtGDijNB6tlWiuRFMpNB85FsrQQOE9aFtC0xRiAShUMNhwnwiQYTscJJJRoqi4w8F84lsg09BWi5QzyLwMbYtvP5wM4NixHkVOXYKZu3bNAhAS4sTn/6QsTxUR4SGXUXj9dW9ldc1eaBvZ1dU36WhrvvijGx3gEH1h35gpb774VC+Cr6/VTz8V3blzzd5+fC9h+m7BellPDbyKeuw+iwkB6M9NeYS/c/S9w6X5zv4jpz2hG7+t9Zt1n2blFqxc9fXcuXPljYFjZsWc3TZuuDuAppa2K7ey/EbPTbl1yN3xv3qCmCCIjIKG6aP7cLN+GkwtHe5d5Xt7EH3+ZL4oNCo61TpUqFDxLzMgAqybN2+q7HEAgJCCkD1TMcc/BKnkJs9uWPfXXEO4T0JFKu7+DiNXkKmLZhbu3Gdz7LxJ6IgqXyc/Uns9Bk1H8gmUtoOlBbcIJBxFyhm0N8FvYbf0KACmOhzHIPJbsHjg18MmCFSGsvjCa693fPZhwKbBfDU9Tajpwn8x4g7BfTIaHvZeJQFOeSLEHbD0B9AhkZDO3CDGBxUX1ZAYPCePQPQUqXqCJJWnf+jN09+PG/4SAixNrjrRUdjcWMflPWLt/E/y6H9nmYyQSik5OSW6uupQUsPqTvJpiCYHKd3y0ev4fDaeouyaSqGMDHA+9HdsenwMi0mTEpQR4xeaWXdrnjU3N69b9XFJQdqoAOfAORFeXt3mzepcLRHBAlBV03grqWrywnUlBZlmRi/hyb8q7ifmegZN7vMtsVgk1zl7Mr6jXo+6e3RkQKczQVQCbqVg6QQY9C078rQ0tIL5bBuXKlSoeIm8+gCrpaVFZY8DoP7Gttako+1UzQqSodTQx3/0DHUNXv/D/hl0WjNIpOE9mtR0oaYLLXOk/om4vxhesz9amCasKrt8x+LjP3meo11nRpSQfBYAgEyCuIOgMOASDg1D5MUg7yY8X+sOAYw9YDUULuEAIJOC1UMxgWvINbUSFiaVuYZ0/tPVsUFrlcL4uQtBK8oTIZPCaij4xTICH+w9Q8qvnG5oOCQoQp37bP+ZOGoaGoYuqVklrg5mzzSwT4b7OFw+9/vEuStffKqnZORIB7nFjTyTt2PHTACbNk1JTXWOjb01e/Z4eaAZEuIUEuKELg366jSIshRTEATE0sdFV03NrZrcHtuFUpkMJJK9mz+JTBK0tx3b+92S5Vs1NLVLS0v37t0LYNzYYI7QOOp2krF5b/VXlrrW5egkGd0geMJiGp1RW1mIDqGy3Px/iPuJuQKqsY1j731nAPy2lh+/Wrby24P93peZtVNDbcC123dGBriQymoRkwQvBxy4Am0uXh/1/EHSpVhYGT3nWBUqVLwwrz7AOnny5KRJk171Kl4lIqHg7P6vvUjJZpM+IjcWOmVeaXMOLvo1zObtK0x230Uw/ziEpO92nhn0bFEaj9JEMNUZzuMjRpEjWLvvGv26dpvTuo8yAKChCN5KZ+8dQlCahKJYWCoVqRg4oaMF1RkojAVTDb4LwVRUc0eeaLS3lrr6KN24vi0e7IeRB+hMaFsi5ieo6cDIDW21KE+C7QgABRd+t9TxcJr8TrDLc4pVBoya8fdf39tYCFnMxya6nhImk26uS05LiHHxHNZ/73+Aa6d2jvKzBiCS1hSkXGM1maIJkEiw4xTenQIKhQugHSyZUuXZrr8xZkifs12/k5ZXVL10Vg+BdYFARMikImGHk+dwI1Pr0RMXp6SknNz2I4vFeuedd3g8HoDkhzc++uojNqf3z3Dw+IUFOckJ0UejT31vP2Syd9CE/GzTI+dPRIxyYbMGdiEm2xT07o89haW1tv4BWjqGffatKs2Z9PrbTxk1eviGCNwDmorzNbXtSDsnQyyBVAYyGaU10NYG+7kei3Y+JGX9d1OhQsU/w6sPsHJychYs+N86sP2M8Isf+LWeNZ7yOchkxP0FnzfUOCyrgLHVP/mLDDw7oC5i61GNBpnYeNKZLEIm09DUbixMZMqa2Db/iNVGU0kyhdOXDqdUjNu/oL4FQR7wmq1QZKgvAODvWlJZzbx6iRrC+w1SIXR6nsgzcUfcX4oAqyodSSdApsLcB2o6GLUCBXcQuwdes6CmA+DOQ63PV7VBXQcAmiuReAwkMshUpJ8H1xD3/sCYz8GzUMxMoeLWLzmw1OKorZz77Qve+IjwN26d3x4S5Np/1/4Y5GJ1JSaKSqU5uPm/+GzPCr+1CZK2O5XVa2OTB6tT8/Pzrc31ASB8MFbvxIJQdDn9SaTY9TcIwNsBfZ2jLCmroWhY2zibRt1JM9bn8rgcdXXO0fMPjSwc2eraaqhKid4TKTRMyy5ydXX94osv6PTudIv7kBF9r49EykiIDvZ3IGSyuobY47v/Hhq6aPDwadl5VzTU2FYWxgM2lfXl99npOe2nTi27ezc/Kiqbw6HPm/dYO2prR8XG6LZt1+bN89PS6iF4sXHjJZmMiInJ4XDo+voaGzdO0tbmMB3cFG93ivaDa/L8y7WyQrUqwFKh4pXxigOs/4f2OAQhK7rxqyxuN4lKL9Ya1ihjmNCbB3MAMhUP9gFk8EwAsE2dzCe9L7m2RTboNSm/vkUUn3c/XSwWaTem1bRWqNGlpYROuV6GtaOPuY0Tk/VYsaLnoObBYW177z7eoNDA0YGeAbyndzdqW2HIbERvn6LO+/DP+SO2hNIKo5B0Ah5Tu/uQSDAZhNg9EDRD0gHbYFgHdr9rNxJWQ/HwL/i98eOnhYk5/tWtTabqHQDANcTw91GdBX4tAt/uY0luk1tu7Oa05erMO/7iN67B1WJp9khRKCDTQXnmtJbvUIOCwqyHtxoGB4wjk//VQ/hmdl45BdkBVkbveTgG6WjvPnjt42UTAMBcH5/NxneHEOiGO2ngqaG1HRMC4Gz5uKl4XE5HadO46e+2NNVXlRUU1JXnP4jntzXbOPkamNp8t2F1Unzs2NDwTZs2PX1UdHrvhqGDjGIT80RiydRQ3+y8svTEW6PC51/Ljs+tbOBqNL+U0wYviFAoamrh62prKttRA6itbT17NlnuDi73287Lq5Hr2b77bvC2bdfkyrfp6RV7995zdDT48MNRamqMwsK6FStOyPVv2ezuGPTTT8eMGuW4d+/dI0cejh3rrJDP2Dx1//7Y7Oyqhga+oSFXIJDMneu7Y8cN+VtJSaVdM3dd2s5Of84c3+zs6vZ2EZ1OUXSYYY57//ZzU6FCRRevOMA6fPjw/yund0lb7Yk9G3xNZNah86FhYAWARAGAVnsAUNfvsbkmk1KD3wNHFwAL6BS5V5QSGwL2AlFx2e2yGyvaoMHxWWo5eAyV+hIK5LMEvAmWfZ08KktAczlg3rvdwAlF96Fv/8Ynen9dc1wwXR8n3+sRYAHQsoCGASh0VKTCsscuXmsr/1Z83iAZTbu1taDO9K8Dtau+d9m+Lqm7h74D4ICORjC46Fmrl5VfnksdN/7ND/qo8X5GwsN3bt8+IzBs0caNl0xNeXPmdC8yPb3i2rXMM2eSTE21CgvrDh58w8zsKWq8KB1fvpO0caPH9u035s3zu3Ej29XV2M7u3/AqGOQ35tQft+2sjMItTQHUN7Z2Vzgx6Vg+A4m5mBKIA1fxzdInT6WuzpF0lADQ0NTW0NQGhngNDdv9/YcrP1pcUd34/ocr1m3Y8qzL42hoPUgprahp1WCTz11PITF1AkZOJVMoIZOWHN29Ruu5XYyeF4lEEpdSUFnXzmCypDJCJiUoNDqdzeXyDGIzcsiSFl8PC93OmO+rryJWrz67alUogPj4kvHj3b777opcz/bNNw/u3TtfrnybkFAyfLgdh8MQCiXx8SUaGqwlSwLl+rcREb0VlQMDbb/66oKrq3FXn6Sk0kmTPKKjc1xcjBob2w8detD11sWLqV0zd11669Zr06d7VVQ0tbQI7tzJU3SgSP/lJ6lChQplXnGAVV9f///KHqf28LzgISF6xo+k/eWq5Y5jezRytEEQvXsqwWTS7W1MYfOurKmiLvnP4rsbs3ijNE1cLe0Hs9ic5ur8tsyrZc1CLtGi15IktQyxm7im3xWKBa0kQQOkZqjOhLo+Cu6iuRwWPjAbgo4mSIVIPQfpZPTy3fNdgIYiF8vWI+fNAMDMG9HbMexdkDrjoeZKNJfAdiSsAnpcTiy5FJ0yYcH6xgNTyi7sFJM+INIO2eosvH00Wo+4b6DL1QiYCSYXAC6uQ+Bb0LPrHsyvbcyKD1+2v9+bepT7N04ZmtmbWTt3tcyZ43PsWNzKlWMvXUq7fPm9/PzarnRCbGwBgPffHzlxosfx4/Fr1pxjsWhdFj3KmYZ168L5fOGWLZHNzR3ffz/1l19mJSSUyPMcP/4YNWSIBZVK/vbbyWfOJBkbaw4ZYiG/dGlhVsr9y4Sknc3VDw5/4zlu51HobJ5EKpXLV/oNtotNyPUb3Pno1FgIdAMAX2dcuo9x/egLkCGSSiVyp8XY2NjTp0/r6Vqs+GKyvoGhkYnVc6wtdPp78he9DtnVVJWqM8W9Mkb/KB0C4a0H2R1S9pARM3xN+5YzEAraH9z8+05SpkwmbmkzVVNjfPrpmDVrzoWFKbaSu/RsW1oEXWK2ixYNjYsr3rkz2s/PCsDFi6ld+rePXiIurtjZ2ahbPkMqA+DhYRoXV2xrq5+RUXH6dCKHw5C/pTxz16XZbLpUKmtsbKdQyN0d9vYjt6FChYp/lFcZYCUkJHh69ufT+78EIVNrTKMioP+eXcQdhKgdAf043JE1jfSGva4HWAP11VVNMWtkLcVsNkfb0MrF018iEVMZw1vObTz9J8HTt9JDPTXntIzK7PBe4T5kVNf5TUIqrSnJbzi9KGjoRJQ8REUK6gph5Q/roWCoAYBtMCz9cWQxZKLeAVZHM9QNAJBIkMlI5CGzUXQfNVnQsUFWJEgUVKWDyoRtj0Lpxqqy6ujDoRO+ZrI4hksuQyb5em59Y9Tt0QabpK106wlv5909Xnvpr1rTYb5eLqAx0F4HKKIEgiAy7t9zwnMqNNaUpFUWZ3YFWDKp1G8I95dfYqZO9bS01OFwGHI1TnnOwNZWLzGxdNu2a8eOxV2/nmVkpHnu3NtdFj3KmYaYmJxr1zJHjXLMyanetSvms8/GmZryli07OH6829ixzsHBDgcP3k9OLvvzzzu/7JyYmxFfkPmwo7nCVJ8T4m1Oo1FPX34ok8leyolaF6+QlIyLnq5WAEKDPb/+8UR3gNVFxFBsO9ZvgOVorX/zyrGiamFmZqa3t/eGDRuo1Jfzd0M5upJIxHoGpjxjz6s3UzwcTe7F54SH+PxzwZZEIom6myEkaQaFvvdkQQ0Gkx0YMlP+OrHwbwBhYa7798d2dZDr2TY1tS9dGjR37p6ODtE330w6fPhhQwOfx2PLz28q699OnqwQ+ieRsGHDxT/+uCMUSg4cWLBu3fmuPlCS1eg1PDW1vGvmrktPmjTozTcP5uXVfvLJmIsX0zo7qNThVah4lZCIJ+ZI/iF2794NoLy8fOXKlSwWq9/+/zO0l6dEnt8TFuRA5fC6sztyqjPB1OghGQUgagsaSzBlez/zysR4eBB1eeDoQMsSbhF99BG2oqmkWcomks9ojv2AIIjC0qqMtHwDNRpNQ19cnSlranCNuUd8vIht9Xinl+q8tdtOrt3+E8gUVKSCZ4qSOHQ0QyqC83gw1e89VCsupb8Wko3UszAbDKYmSICaHtIvwNAZEhGodGhbgUytiv5FUJprsuwild2PGsX9G6fqStP9y3cRoeuZTbmEnsOD1BJyc7WTkZZu8IdgPY9WUN62QAmZ4vB+tPxLiURcW1n05bp7Mhkxc6b36NGOK1eeYjBo5eWNoaGuOjqcxMRSc3PtiRM99uy5u3DhPql018OHRdeuZZaWNq5bF/7777dHj3bKyKjgcBj798eOGeMklcpMTHgODgbHj8dXVbWsWTN+7967wcEOJBLpjz9uCwTit2c0arBgZqzXdW6uoqo+tZQYM3nZc9xOn5zb80X4KMW38svNR1a9N4XRS4UhJhD5ODYAACAASURBVAnNfEx4UsSfV1R17Pzd/OJqZ0f7WYs/0TeyeFnLU+bhzbOl2bdB40bM+bSpofrI799YGnFDg5/fcahfcvJKRdwhLp5DX8psclVbAHy+sEvMtqmpnctldcVJyvq3j5vnCX2U31KeuauzQCBmMhWjFB2aU7bv+F3L3Pv/VRmGChUDh1eWwZLJZDKZ7P9VdAWAbezm4zum5PQHVq99Iff4Q8Yl5MWArYn6Ekze2nsASxMeUwCgowkJR+E9FyUPUVeAIbMRfwh2owFAXQd3f4fdSNRkw9QD1sN7T9JcidpslKeiLJHrPAH2PiCkJDLVylTfqv6mgGcnbc5kelhSmukooOGXMzDJx7tT0HfygAPbsKsJGjNn/l5V9T2NRoFxDwl+CTv3z2O01xaFwiy0xziD3oIFNZwEt7d/AqP/ghufEZOByWLhinvnf7WviKGKz3rZh6qPW4W4X54jupIKW4v2vE5vLSbUu09XUKk0Q1PbOXOImTN///33ueiZM5g+vVvlyN5eX12d2ZWo2Lr1Wq/i7iVLAo8ejaura1u+fNRnn53evn3Gd99dAWBoyD16NG7r1mmzZ/+xY8dMb+c8yHr489xJLJ66+OtnvZ3HQRAy5QA+LNjz0o3EiWN6nl24mYwv56EvJBLp+evxd+OzbS0M31sQqsZhSqTSW7f25es4+o+c3ueQ50MsElJpdEMz++qCWBdb7oFf1pIlLYGDLd0cHyn1e6mYGOtGJTx8WQEWjYq0+GhRW5WOMY/DU1RrcQki7ka+tesILV0jAFwuCz2Vbx/lCX2aiTaKkKTWcgfNUk0AnW5DLADNANAt5JBerNnSBj9nSAWPzqNChYp/jVeWwcrLyxs/fnxQ0P+7KoHC7UFsU1stfiHNczI0DNBWCzVdNJfh/n6EfN67t1SEa99ByAeZCs9pMHIHgIpUPDwAqwAw1KFnB83Oiq76QqSdhfEg2ARJJCR+B5WrLgaAujzUF6PwDlwnIOYn2I7AkNmQCJAbDRoLNsMAoL0eUT9g/FcAsOE3vBsBDb0+Vs8wWfvz5bw8Mw0N5pgxzpWVzV0Wwny+cNOmK/X1fKk0+PPPNf/446q8SunYsbj09EqpVEahkIcNsz13LuXRs1TPBkGg/D5Mnkfvqqmx9uaJLb6OmlwmpSUtqp1uZv76r4/r/IR0gnKi4lHa20UAWCxarw4ikaSmpvXNNw/9/fdb5MpzvQKsE5fiR0x6V1v3pSlDKmewAHz+3aGNn77eo8fWo/hoRq9RhaU1h/++3cYXjB812H+wfa9341IK2ikmQ0Nee3Qfk9/aDBAc9Wc4AHju0DaSqKaypmXh8u33Y87pUoqFIpmxgRZPU+3pJ3lursSk+IV/oPGMmrS9kEolF4/+BGG9/2DLVH7HlsT0rYFDbDU16hpart3LGTp2gYlF72f4ZK7eOKVOLvOzNgOAtnYcicKi8a0i8axLN+y0uJuH9qFo2pttx/DOZNCoALbvi1FlsFSoeFX8Ixms9vZ2NpsNQCQSEQRBp9Orqqq4XK5QKJRIJFpaWgCKi4uHDn05Hx//W2jRhHWlBVIm2UjDAADUdAGAawKuMcQdirSWnPZGFNzCkNnQ6nmK3sgVEZt6z0sQyI3C0GVyA2/BgzNrrq5eOvy0o3ExbEdAxwb2I0EQsPADlQkAD/9C9nXM3K0YnnQSQW8p5rl7C9cjsfw1hE7qcTpPxEdbgUAgrqxsXrx46I8/Runqqs+Z41tcXH/uXEp0dPaGDRNPnkxISxN9++3dbdvGyauUUlPLR/wfe+cd19T1/vHPzSYhJIGEvfcGQQEREMRRVFScrdbaamunHba2ta2ttbXLtnZ+f9217de2Vq2KdS9ciAooS0T2kB1G9r6/P4IIGAEVxa/N+w9e5N5zzj25IeTJOc/z+ST5HTlSEh/vbWNj2U8t1WAhiJuLrsrOHyk+d2D82C41S5Ht4j2HcvtZJ+mznECSpFopYzLpBMBhAQb19TqyjZIOBiU0HT2PM4C8s6UfrYmjqBtA9k12Tk0Ozcr4oVOuJ6gsKtPSwdVP5OBhxbfhWgluThfKQLNqEXd0l7/xrNjidqmNoIfsZ49hNVrdjv1nc/IrhNbcxxdM6NWsByNDPavrmnf98iYY/MTUJT3NBvZs/tozIDJi9CTjw9bG2svVJWHR4683PZIkFbJ2HxdBRLBH5qEtLZdLI+K9mAz6/mOFKj3NkqlTa0mdnpQrVFMSg624QylEYiQ2wuvMsR193LJvFAqFolGIZ00KBzDKkpPs7OBmZQngTH7l7CVraIPwyenDzxVFreLy3e72dAoFHEYL3Vb03HruZ8teHhnsxRtE3Kk3wEAaoyszZswML0P/Pvz44487OzsXLlx45MiR+vp6Ozs7Jyen3Nxcb2/vxsZGuVz+1ltvaTQaBoPx77TH4S34i/1/kZdDlnc9PvYlOhsxbjmcQnpFVwCK/kFoWleC+YBc3AehT7dckyVTsTrmhTc2PjFJdLrSx5tKIZ96qJzYvxbyNoyYDQCjH4VWiezfAQIEAd9kWDkAAEHgx3fB4+OPLVj9LayFiA9GhD8AHFmPad8UFR2ws/PYv/9CWVkLnU7tthAWi+VOTnxXV+vKSm1Jib67nApATIznkSMlMTGeX355uGed1B2Gfujl1DkvX40qCIJCp2vUKgZzUDLZBEFotdrtv77v68oLD/SgUCmtSvVjB0/8MinBahD+fUamjATQgtbSa08xGfSxMV0aHDq9vqGxrPXC+TKpUqbUGEgqSdAsrOyiEmfyBaJBXit1/kubf3w7NZFlDCjvnzZm657TS+dfiXhIEmotgAuldVt2ZWl1uukTR82ZMrqfAY24Odu6OdsqlKqDWz/2iZgcEDamOO9UwZkDDm5+IZGJ3c0621u3bfws+8Tuxcs/JggT73SCIOYtXVOYc+xyfWZT0+URY6Yfyj5BQu8dNsk/JLa5sdZaaE+j0TVq1d7f3502PnyQz3rwcDhsaVvZLQ5CEBQLrp1Wq6PTaRw67fkRXa+g3kC7iegKwIdpS3dv+ZhOoQBQqqg/yR94xfkSgDhHUyvK13KyALHBN3FdM2bMDDlDH2A98MADX3/9tb29fXt7+/jx452dne3s7EpKSpqammg0GoPBIAhCrVaHhoYOPNY9Cc+tbuw3l6vOursroVNB1orUtQDAsUHzJYh8rkYAOjWUHYMNsOpyETT16kORD7/i52XxDLHBzSaknU4zvPJ+CFvyprWm8P4IR9vzW6DsQNhM8JxwbjNCpoHWQ0jT3hUAFi8GgIZifPknmmMwMhyFtZjFLipqyM9faGnJtLOzeuGFv7744n5jp/nzox544IemJklKSqxYPLI7S+mLLw53D2yylurO0Hl2g62qFJWZPXUi3JwEVaUFvsGmLWKuhcuzvv+J9yov5f+1d1NCpOv2+sZTdY1HLzca5aaGEBqV6uJk6+LU6zNVoVRl7v1aoqYL7dztXXwdXL37d6vUatUXi/OTo92MAZabk6iypqnrXHN7x/q/tgj5Ze9v9HSzW/7YVEvODZixbN+fS2VZkwYUntru6TfCLzjqclWRi7s/nXH1r8grYMTzb/9clJNhMrrqRi7rkEkldAbXKyDCK+BqTbGtvQsAhVyi02pV2ttSDUehEIROcitlmyRpyDy0VSNroNHsex436A0Gyk0aLrla2zlcSUxsETOFAg3snfrv0ouThXj5gZu7tBkzZoaWoQ+wli9fHhcXJ5VKmUzm0aNHV65cSaVSR40adfz4cU9PT5VKBYDLHSaLvbsB0sA9/W6wtgMhzuDawdDD9Y8gcOwLdNSDAJxGwNoNmd/BKx5+E64/3BUsbcG7kr6j16IyE7M+96MYX18xgFFh7QAaqr0+/S30/iRquFMBdq7EAz9AUt8ruuqJuBKZ3+C9z/Hu69ifDhc3bN3+0EMxlpZMAM8+O+7ZZ8ehh4XwtGlhRs2nX39FS8tDy5dTCYIwGg932w93Jzbd5N27WSy8x9Xu4Xv13mvzcLYtPPVfDDrA6urlG+ruE7x3y39GsVh7ZqeMEN1SEs/gYVuwxscFA5BI5fVNx3OK9zS3ygOjJgdHmnY8ZLLYCx57I+PEVm8XgYuTjY2A5+FqV1JeX9vQmvH5Vkak74NzEh91vWEVOrVGK1cT8xcv3/n7pxRC1dba7ODsPn76o9e25AtEY8bP6X+0qISpZcVO1qK+dn7lxbn5mTsIUlXb0O5sO/QpWbWXW3OLG0g6/1bW0Y/u/s3DWjZmYl+tmUOZRaPG3nzaE4dvL1eoOGwWAIMBSIsfsEsXCjUsLUD9N+4MmDFzFzL0AdamTZuMv7zwwgs6nY5KpQJISkpKSrpqTNbR0VFXV9edqvWvorWl4TBz0vQpoTCaCo999uo5kQ/GPgcArWVor4VPElg8lGUMKsBicNCtd6CRge8CiokX16Fk3fthymXfv/vhuy4cG0/88Ri8r1NnUHIQjcWgMgDgjbVdB5V0rP0DWfvQXAW1EgQFAhpGxIHGgN5g1ShGUSUIxUOOlu8UjyfKMiFrBd0CLhFdgvUAj4D4bA5vxFBWog0GgmOXI5rt5R4NACSJpiLYB3derrSmawbqamo0gpIy55mL+ZmFp9J9E9mcm/PivVmsuBwrLsffGwAKL+Zs/eGgvXtIVML0ngtIRrwDR3r4hV+uLisuzzu9LSP33IVN6SdXL5/7zsJJBGnAjUdXAJgMelKUm0GvZ4kmP/LAD40LXQBs3ZobEuL06acH33471c7uuvZ810IQFJ/AvonbBoNh5x+fhgX5NLbqFj7zXmnRmX8OnZyafN0lz6s69d0j6A1tnVKhtekaVbVGm5lXN3fpO7doetjWVJ54zUr8kcwikWeco6sJY8dB4hkQVVm1PzjA3dVJUVV3I8ln+85g4sibvq4ZM2aGFurq1atv3+jX+3ZYVFREEEROTs7OnTuVSqWnp6cxDvs3cGTnz6lJPox/duDnTcgqxqFLSI7s6/TCtoaNB0gDKk5C1gyvuL6iWddC6mF1ZQWraBfkrXA19a+28B9iyruRCZx1n9gczA87XjFa7Rjv7k3t+0JJm0AQCE5FZSZ8Eq8epxsy8goTJ/rAgQ1nKzhzwdFBfAEUDTQtYMirv/r0Wao0JPNYmvp7CNvhMQIsOtStUDdD3QxVE/b8CYX2cOYxnx75OncAKpXGshTK01fwghJAEDj5PWQt9RfznOf9h8a8yQRqoZ2Le0D03j371MpOSwsmk3mzdZG3gK2QF+htzzC079n5t8jR2/KaTcPa2tptO/45e77Ewy8ibUbqueys5Y9NIay52H4C425S5pdraUHwAlav3hUZ6UqS8Pe3f/LJjY2NEo1Gf/hwyd69Rc7OgnXr9m3enBMf7/PLL6c2b87Ztu3cqFHueXl177yzu6ys2ahv3g8CkYtfxH2BkeO4VgInVx+Cwcs4tLe8qrm9U2ZlacFkdiW9Nbe0b92b09Tc5u1+dQ1MqVLvPJjbrLASN192drDpM7LBQG7bmzN5/stM1i1pxPz46fLRYS6C3onnldUNGsuAkWNSbmVkvU7XUJnr4mgDIDtf4Ocp47AHZ3qz4wRm9FruOp1XbcF3Cgu72YISM2bM3ALDVmwiEomWLl1qMBiOHz++Zs0aKpU6adKkmJiYW/xOeffjKT6oW1ZISxqF91aBRsNfe7B1I2Y/2LcdSeLsbxD6wNYHahlYPORvh2ccWJZdZYAASD22PAtrN6jkCE272tfOH2qp6ctPex8E1U6oem8dAK5Brj+xv+mlxVYzprYlzr1SUadVoGg3qk4h6iHo1NApQLv+QqOkCVY9ElDGBCC3DGop2svwZRVm67D7DIQ8pEzFxUycqkB0GNuWG3vwj8aECfb+NyJqf8uwq/erdDqDRkVhsDBhJdJfsdSwmdzB5Q5fb0wOd9biN8qKc3OrLrQ2FLmImJ6utlnnykmSotVpCBqXy9KNGx1IueVdG5IkDxwvlCp08SM9bIVdhYEyuZJBpzEYdHtb67mT+X/t+HrmkneNOfsNDQ1bt26tr6/39vZ++OGH+Xy+VNJ+9J+fHBzsd/55cFqkP4Kva/A8IHX1LSyWrLuYdPr0MKNO/c8/Z6alhXd0KGNjP/zjj0eNcvbV1W3dpaZnzlR2++gxmSb++ajVyt+/XfPIs+/7h/SS7PIJHOnk5kej0dvFTf9s/Xz+jFitVnc48wLNyk3k7BsTwK6+3HIm/7KlwI5CUGgMZuzUJx2cPPOzjxw8cdS4r2pEbzBs35czdvpT/aevDYakKQ/ln/jT2d6awaAD0Or0ezPy2zs6/CJuVcHLWmjf3K4AALbLo09wP/9P3Jo32gbuJlXikWchcO11kHXhFidjxoyZm2aYq3kpFMrYsWPHjh2r0Wj27t37+uuvM5nM++67Lyoq6l6NtBrpLs5rp7IENgBg0GHvfnz3IQxkL2HP2irI2uASCYceBUGeY1CwA+Jy6LRwCMaoBagvgGM4oh/CrlWw6lFcJvJBQTrcTV2e6LVSSOHwE9L4CamqH7+wrvte9+BjNABoLIZTKNyjYB8ESxH+eQsz1l33+VAZaLoIt66PQ7fUab+mAnoNCv9BXhkKarFuLVqb8dvXaJDgi8+Nbs0K6gXN3hXwz7yhW3eLWIekFDTUURrb3FwdQaHAJ7GmSm1PGvrPwh4M3gER3gERAIrzTuaU5d+34K3uCrKGuvK/d303K2XkLf49Hz9bEhS3wMHFe9efnxk0dRSCQlKZljzbptqCmZNGMBl0CpUSEeh8+sShgpLq2tpaBweHWbNmOTldzY/+5/dPUxN9JS2eu37d7XuuwuuNB2/OGDwrt2TnvpPOIf52dlxjMWlHh6L7bESE6/nztQqFpqamjU6nengIq6vbuktNe/ro2dr2TcRsaqjevfEjGsv0DiObw1XIJUfSv0+M8cvMKWlo0ydNe9Ja6LDt5zU8q8BjZ8rnLO0r0xo6MqmQILYfPEol9CRBUKgsUJljZzwrtL2RtPHr4OkXbi1y3PH3f6xYepWGJKnsxOnPMZgWbM6tJphSqFTQLAGAKcrJUaz/OmNE9ENpaQP9lVoCfTPZAPqdds42Y8ZMN3eLXAqDwZg2bdq0adPUavX+/ftXrVpFoVAmTpw4ZsyYeyzSatBYMDlXPkIIKhgEXv0ANp5gMVBbjImhsHPHF7/C0w4sF2jPQduEhZPgGQJLEUZfcQLWqdF8Ccf/g7gnQGMifDYu7L16lsaEVoGtz5nw2JG3gXNNUjaNtWQ5a8fPzd984/XEE1IU7MDkNV2nbP1A63fnS1zW5VTdk7xtsHLAwuld8ZyDI15e2/N8kdJx/OO/9H+jhhymUxjPN1525pt2Mlng5o+gKc0N50gDSQzd7nRA2JiAsF7Lcg7OXmMmP5Z+4MfpEwYhEXl9xJ36BDdfAKnzl/c8Lu1s27bx/aQYv33H8o6fLrKyC3pq2fNeXiZ8i5NnPLZv94YWcS0jJpb3+mt/p389O2XkNXvDAxMT4RcT4Tf+kXPbtz9tLCbdvDnHqFOPKw56kyYFZWVVtrbKVq+eih62ej1s8kxEdznHd1IZ7DlL3rjepS9XlzII2amCltETHoh18VIp5X//8n7T5YqtuyUk1fQia3BkYvBt24zmW9vOeXS1SqlgWQxxLqmNvUd7h1QgwK+/Zi1cyPryy87ERMGmTcf6OIv38Rp/6KGYr746YhTy/fXXrMrK1gsXiidPNmdlmTEzPNwtAVY3TCYzNTU1NTVVpVLt2bPHuKaVlJQ0ZsyYeyNPi2lpK1eojdsKIAh808Mep64Y+zNR24o3n4KHT9fBgnxsTMeqkF6j0JiwdoNfEnI3wSUSPAfY9E5qCZqKzga0lELk0+t4zkZolFB2wjcJbtE4+wsai+GdiJBp0/3TdxRP27A56mErJgx6UKgAoNeaTJa/SlUWEp7re5AjRFMxvBNQk436PFzOh1dCl+cPAIDv6lF8qSQgLHbA2zW0+MSkNdUfldVcFLj5AxjRtotCXTtgr1vEwcXbe8SUnzf9V2jrbNDrQnxFnq52VTWNtiJ+txFh/6hUGjbfREJ6dXV1enp6ZYVm9+Hfn3tkYlSoO9VhnMnoCoCtveusxW8e27Mx59vP33vj2RVvfrRt749Roa6O9sKbMG8+eOA5Y/RsrCQFoNHoGAwagEmTgiZNCjLK2bPZjJgYT/QoNe3j0NeTxCmLWCw2xdTbPGP3fy043KiEaeUXcwLCExxdvGorL57c84NUJp+64JXTGdvHTLjTZRPdDHl0BcDNJ7y88G9va5VxH3bduvS1axfJZH2dxft4jf/++5luId/z52sXLozp7Dxz4ULDkE/PjBkzg+GuC7C6YbFYaWlpaWlper3+1KlTa9euVSqVERERkydP5nCGXtb5jsGg4bpOIM4BWBzQ96BBC6GpPCEGB+H3o+ECAPBdIK5A7ia4R3fltnNsQBA4vxkTetvvxD5ObnlO7zqa5hUPGhPxz0DRhgMfwjUS7XXT5xK/7CW3iV9OqzwJrwQAqM+DY1B/z4cEWNfsidTldLn6uI6E60gYDNj5GkKnd8dqvp6OOZVldz7AApXBEPmeKK5Wll/2dOSqmDdTRnejtLU2VpWeT1u8hm9t21Rf9fdPb1kLHX3CEs8ePx0Xbu9gO7DKQ1Vdo5vPVduDioqKPXv21NbWOjo6zp4929HRUaWU557aW1NXPil6gOK1hJQFQSPHvbZypaOTx4S5L1eV5p8+dNTbmRMa4G7QG87kldXUd0xODOZZDaSMoJX22W5mEEAP8Q0LGilX6QBrg8FAGvQEhUIQFLVSTiVU7eLOzvaWCzkZI2JTHF2vfgHoZ3PNzsln55/rPf0jKopOqRUSnsDmz+/ecnZyTpi8+PtPVrz95U6CIM6d2svhCnyDoweY+f8CLu5+OYdVOVsvGvdha2trQkK0bW388HCX7OxqHx+7Cxfq1WodgJ5Htm07x+Ewu4V8vb1FFhYMlWpwCfJmzJgZau7eAKsbKpUaFxcXFxdnMBhOnz796aefqlQqf3//lJQUoVA43LO7cW50x5NKQaUcv+3Hggl9DZgPfwzvxCvDUiH0xNn/ou48Ri2AXAy6BRKW9WpPGnDi/+SRT72/7QHued2i2VUOtiqwreE3Du21oFCQ8cUiPufnU7N+JB5c4lUDAC4j4TISBp3pdaya7K44rA8iXzj3kN6mUGDn1z0Cqdc17PkmbN6PN3YfhghB4vNpCYYL547X/v20o7PPwB1uGTqdYSNy4lvbAlDIOsdOfSwwPA5AePSEv757fe59/AFT4JvE8pAQt4yMjGPHjqlUqpCQkAcffJDHu5pew7LgxI6b1c8IPbEROXj6BHRKpDY2wrCocWFR48qLz+04skutUlnbezl4eRWWlI8Z5d/PCCRJEk0H+2mwubRqjo971onCiAmPWwsdcGUjksW2ZMGyo63lTMY2UievLMnd9P2a0KhxA/rVBIRF+wVv3PDFCgtLXuoDLwCYs+RNZzcfKo228MnVBEEU52XK6s/WKhn3RoAFwM49OGuP+scfF1lY0EeNcmcwSjIzw+h0uqenkMezcHTks1j0wEAHJvPqkTFjvG1tuSqVtqNDYTxlYUFnMIahuNWMGTMYRrNnAEuXLr3pESoqKg4fPlxXV8dgMCZNmhQREfG/kqq1c+O61IQbL+Aqrs5Pl7o+OYJv1WOVQNkBi97eugY9mi5A5AsKTbb/xyqPl1wclV2WzwXp8J8IGtMY4bV3Mt5eH/Dq0yX2IlVX3/IT8IoDANJw8KT9ibPC1565yKAbAODEfxCQAhsPAKvX/7X6hSvbMe01oNK7PHa6ptQJjfyq5Gk3pUfgHI7GErVjROWOrwTxz9lF9bUZvsNoNeqas+leYwZQwrytnM7Y4cyud3K4rvtNW4fs0MmCbfvOuviOjouLmzhxIpN5kxLhPamurt63b1+fN+DmH9dE+PIZdKqzo20/7yaFUvXTpmNubq4MOkWjVlpyGB1SnUKhmJoUxLOy3JeRd6atI13RsSYucryzw/ZDRXMeXQOgXdwksOlaL9Rq1JerL7n7hAA49M+GuAnzmMyBFRNUSsUX7yx9YfWP18p9STrbDm9ZN2Ni5M6jpakPrrzRu3GXMG7cp4cPL++nQXY28vKwZEnf488888fKlSlOTiZstj///HNra2uz2bMZM8PC/8AKlkk8PT09PT0BdHR07Nu3b9u2bRQKJSoqKikp6S7fQCSoNL3BcKPJxV+9C5Z/+O9f+zvYqTQailJFpVLJMSNbE0e3ACirsjySKaptYBMEqdeH0mkkAO2F6eFpVnsz7DvEeq44c/p4J/+Qqxk/Ap5m2sSG/GLe1QBLecWZmKCMj2v2dJW/+E7o4wsqgv0kcI9B1o+Y9ObVhHeSxLm/MGJu3wW5mrNgC0wEWI6hOLtRXX+xmdzrNONLrm9S3wZ3nPNnDjWXnsm7kCtyDYmfNH9Y5mDBscy7UEelUuxtu+SadHo9lUI5f6Hq0ImCDoncms9NSRrBYnFSH17T/1A3hJubW0VFRc8jVaUFHe1tRRVws2O7OJmIrppaO7Lzq3QGQk8wH3l+HYfLA2DQ61UqeXVZwbkTOygUyu4jeWVV9UEuPv5+o9Xl5ccvd9rxqA2XK6kU6udrHnv7y39oNDoAkiQ3fPXm6s+3AUie+jCAS4WnaysLklNNyMF3w7Jgv/Turyal9XJP7kqM9gVgGIZvi0NMfX3HJ58c6OxU+vra1dd3Ll4ce+JE2YIF0SUlTQqFpqDAetq03KQkyrRpYWvX7iYsDOven2Ps9emnBzo7levWzd60Kbs78724uGTqFHOSuxkzw8P/aoDVDZ/Pnzdv3rx58/R6/ZkzZ7744guZTCYQCMaPHx8WFnYXLmvJ1CNefY/76tOXbQSD0hDP3iL78z+G+8bLx7+mAwouN1qwLfSWHB2FIP+7vnF1VhIBuDkrAHpMrAAAIABJREFUJo1tcnVSAEYTXwlaSlF6FJTf4S6DoF4a5LdV9tn371jNmFTv7yXV6QkHW5Wro+LbjZ4TE5qg1+Dkd3CP6XldT1f5Z2/lfbnB+/Q5myX3A2o59r2LuCe6TqulkDaBJHsFWKpO1BeAK4JL34o5OcHZrxwdHJDiM2kZ6MMg32/Q6wkK0a3IcPbYTmVz3pTx0QAKSmp2//Xl5LnL+h3gthA6Ktk7cFT+2cNZhUVSSce5CzV19a1sBjl1fMSS+5MFvK6vClV1rVqN+tqVm1vBy8vr0qVLvr6+xoeXCjOdbTmxqU/VVV3Ye/TgfWNDSZJsamm3t7UGkF9ctWNfVmh4lMDWSeToXVt5sbOtQSmXcKxsfIKjTh38c9Hs+M27syfOeSGWQmVzrIxaXOKW+hP7/+DxbahUmrtXYPWlfJGjuxXfhsFkvfxeVw2pRq2SdLYVnt1nx6c0NdTYObgC+GTVww8+udrO0b3PnK8nXCxpb7QKcldrtM0NdUN4i4aFDz7YO358wKVLTStWbN2y5fHQUOcvvjg8e3ZkfX2HRKJSKs/odOPd3ZsrKloXLo5auvWrp35pF8Lhgw/2Llo0ult4rDvzvbHRoryiZbifkxkz/1L+5wOsbqhU6ujRo0ePHg2gvb394MGDW7ZsIUkyICAgOTnZweFaiZjhwdVFPHJB7X9+jTAYegV/Wh1BEKBRSbWGkpLUGB/VCuCLB+u5jI4Pl2+jWjChcQOD42Sv7O6yKOBLTOmdpl28F8oO8J1haYukF1Cbi6pTmLSKq1E8zKgiSaQfcNy004VKJeubWEJrzXuvFAKAQQdZy7XK71Qq+fyS0kMnbd/9IuD1ZSAoNOivbFCyrNBRB8ll8K/4HHdeRtbPEHn30h0FABQUV5Y36ic9sJLNuQETlaHlh0+Xjxk/N2jEGAAKuaS+LGv6hC7rlRA/17ObTw55BDMYVCrV6TM5J04UqFQqW1vnR5c9EhgYeOZYOldX2R1dARgZ6p6+8ZPQmBQOx8rBxePWhbsAzJ0799tvv3355ZeND60EdmVVeR3ixqARCaTBkJV7KirM64ff98XHhDWKZXx7/8TRIfHRnhKpvLk1iyQN7lyOpb1Fp7Q2Z98Zbze7qpomrZ5KpzO5vKs5+zYix+kLXjT+/thL67f89C5JknOWrALQ/Zewb+t/lFKxVquh2/Akbc12Dq45J/dY8fjd0VVu5h4LNicg/DqGTgAA78CYzJzjFIohdcGKW78zd561a3e//vpkg4EEUFkpNkqI2dtbGQswCYLQ6w3t7QoqlfLoo3F//dXw6qt1Y8a0ObtYu6qcYgSBZWivrGztKTzWnfmekUEzJrybMWPmznPvBFg9EQgEc+bMmTNnDoDi4uK///67sbGRQqGEhYUlJiZaW98hd16TtNSVjk70WvVccT9tVqwN1Sr0535tCRjJm/y8IxAItQzSFrB1OPgBCAp0akQtgl4LrRL0K/krlw6ieD+mf9BlIIgrRXwAGGwABIHpE+uhloLZo1yrsx4HPoCt7/UmkzymmcXU/3eb28KZxgOnz+yqOndM9nCCNbM7upK1oPAfxD8FtjVO/wqndlh0KWU3FpyCWD3joa9u+E4NKTxru8Dw0QAknW27/vh4WmKvas2Zk8J2/bF+xqJX78BMdDpddnb2sWPHjIboo0ePXrFiBYt1dfc2KmHa5h9We7vb0eldb0+RNS95FKWh/lCDWn/mgNRS6J44+aFuLdObg8fjtbe3d7v4hUdPtHf2Ucg7AARHJmZ2tGzZlztv8SuWfGGM0GHP5q8TY3xwxQaxexAOx8LRvqvQxMnBZueWr2YvXiWVtFvxTLzFklIfkbS11tdWOLpclRQxGHRMDm/y9KX5Zw56B0YCqC4vSlv4kvGspLPt9x8+emTZANujgSPit+Ye1GvVsU7ut3BLho3LlzsefnhDRIQrgKVL4zdtym5tlTk5db2DkpL8nnxyY1lZy8svT9q9u1CjkRsMnlqtrr1NjksWTXwlgKVLE06cKLtWeMyMGTPDyP9qkvtNYDAYzp8/f/ToUbFYTKfTIyIi4uLiBIJbdcy4UXZseGt6ckj/bXQ64viz2fazAgOSeyf/kgYY9KDSoZEhbxuaiuE3DW7JsLQBSUIuhp2fieFIEjVnwWDDgg+dCjIxADgEgWkJdSsassARgnb9xRtZC1rLv98cUI3Y8KDOjX//EM4ft+Bh/Z/fSd+YuxWWIkibYGmLsBmg0AFAp8a5vzBqYUttZcuFMwx5i9eyw8SNC1oOLb9++SqPb0Oh0qART4wLvNY38GR2iVv4LGeP/qrnbhqdTnfu3LmTJ0+2trbSaLSRI0eOHTuWy72uKkFba0Pmrq+mjjNtb9wq7jxZ0Dp94Su3OKv09HSRSGRc9AXw29erLuSdnrf4xfCYSd1tDqX/qGir9HYVBvg4DzhgVW1LdmENkw4whPfNeebaFcGGuorP1zz+9pfpHeJmkZ1zt+QVSRq0Go1xY7EPTQ01tvbOAy7atTZf1mpUDs6mNcDufiQSlZVV19PvlhDrPqtSaVmsLmnWjg4Fm22xYgWxfLnKzY2lVGqNqq3X9oI5yd2MmWHl3lzBMgmFQomIiIiIiACg1+svXry4efPmiooKKpXq5+c3duxYN7dbNREbkObGGoHlwA4lNBqZJDyAUHugt6cHQYGxpJ9hiVELodegQ/bq98oLF86mpz+t1xvs7Vf8+usjKSnBPTsdP16an+/w9NOJANavP7ho0XRra07X8ey6p8PLcTkP9gGwNlXbaDCgsQit5Y9N7dQUvXeRWOTkoH5zDYNQtPAZ4uX7Pp05tTkuvrO7OUmSpeW1LheO1tW0M4Q+ronPWnrHmxj2jiPgsVMTjU/QxWSD0SN8/j705+wlq4fqijqdLi8v78iRIzKZDEBQUNCDDz44SGERa6GDe/CEzJzM2EgTK4tCGx5FX6XTam5xESslJeWdd94xBljNDdWdbY2BwSFKpbJnG4WsIzU5/DoDdEGSpFSuZNJpbs5CdxeRUqXetu+8xtSWq72Txwurf2AyLfZu/T+RvevkOU8Zj5deyP1h/SsPPbnqWtV1Y1bWgAyJ+80w0h1doXeQpJBL5eJKkY0V5F1H+HRAi1XPap9bytywSWNBpxlPdSU2ytELrQQYzgV7M2b+zfyLAqyeUKnUoKCgoKAgACRJFhUV7d69u6GhAYCjo2NsbGxQUNDtEI4/vP3b2ZMGWL7qwtMFpRch6vdjg8ow6q1XVLRKJKqcnGoez6KhoXPx4l+MdhlNTZKPPtonFsvHjvX9/vvjRUUNPB6LQiEqK1u7jocSaC3D5TyoJDj/N8a9CAAVx1GZheQVIEnseQuSRkx4BUJvht+E0Jzfhe2nCaQiZ9Mz7z0CRunKD4LjojsBNFSW5dUoFFq6X1gCa2WTD/VO5zP1j05PdG+HmYRCpbBoWp1Oa6x0uzkaGhqysrIKCgq0Wq2FhUVUVNSTTz55c2WtwZGJmZ2tRZdqg3xNRIQhvnbnsg6Mip9y01MFQKfTAajVaiaTWVlyztvNOiLEu6Si4MR+ZdzEB4xt1IoOYIAvHlU1jYfP1ji7eWmUci5d1tCqmP7wKo6liXw7giDsHN0AzH/8bZ3uquCIb9DIFWt/YbMHUje9BrlMYvJC9wxsDnf/pi0zJoQaH8o0uo9yCp4J85c2twvrXXf/fWb6hIj++quaYdqU1IwZM7edf2mA1ROCIIKDg4ODu1Z96uvrs7Kytm3bptfrmUxmWFhYTEzMkCiaVpUW+LryBmtLYtCCOZBRK0kCBIDU1NAdO86fOlUxa1aEWCzvtsvYsiVn7doZW7fmAsjLq0tK8jtwoFip1L75ZnrXcUMHYhZ3jZa7Cee3QCNHSzm84wCAIDDhVTCuxAcUCkY9iIMaAKCzQGcdzRK5uygA1Oz/RcF0SZy1jmVxl2pkRI+7f8ueH2ZMGNGd2HQtGh3lRqMrjUZz/vz5rKwssVhMkqS9vX1sbGxqaupNmM9cS+y42Vt/WhPgZbhWidTdxT579/HwmAn0W1vEmjJlyu7du9PS0uydvdtaG9MPnBPZOVkxu5Q7CnOPBXkOvP7h7mrPKaiNm/AAh8sryDkSlhwwYNCjVistub10m0R2zgaDYft/P52Y9tjg/ZI/eHXBK+//1meoewyCzun+btCu1lxs76yUyCKc7aysGg2tPnX1Lc6O19VRM2PGzDBiDrD64ujoOHPmzJkzZwLQarW5ubm///57S0sLACsrq4iIiMjISD7/Zv6h553aNWXwEqP1zZhyjZpUT0gSpzcg7lWgZerU0E8/PQDA39/+xIlSmUxttMsQi+VOTnxXV+vGRgmAmBjPAweKAVw9XtMJXEnCi5iHi/shbULyiqvuN4xrAiaWJQgKaCwYDAdP2L7zUlH1sR1KbqD/3A8H+9SGA0c3nwlzXjyw66vJiaEmG7R3SAX2Awu763S6oqKi7OzsqqoqAAwGY8SIEfPnz79NpgKjxs4+k7c9JqLXRqFOrz99rkyqUN3KYpuR6Ojo1157LS0tzc072M276ztGR1uz8RcOxyq/QN7aURI/ylRu3xUIgpg+PmzPn++HJ9wfEjmwwtnfv32cc+rQu1/v6pNZRaFQqsoK6yqLfYOjBjl/oVBYV13qHzxqkO3/F3HxHlFXX+biZAvAhcv+ZWK8BY0KIGFJ4+GPgzW8S/PMAZYZM3cl5gCrP+h0enR0dHR0l/mGVCrNzc396aef2tvbAVhZWYWFhYWFhdnZDWxpp1YrqaSMNvhtR5Yr7K4fYLWWoTYXUQthwQdaLC2ZVColIcHHYCBJEm1t8spK8dmzVfPnRz3wwA9NTZK5c3tJMMyfHzVhwj/V1Twfz6DKi5S5U+uiwtsAwH8i/CcOanp6Lah0toX+Um5LQ2lp7Gs/DPZ5DR98a1swRS3iDpGNifiYQiFgquBDpVIVFRWdP3++urqaJEkajRYUFJScnOzu7n7bZwy4egWePbpFLldyOF3lDh0S2d5jJWOnPRY7w2NIisX4fL5YLLaxuaJ0qtP+9tXLTs4udCYvPuWh6YveKMw9unn3XmseMyLITcA3vbZkwWLOvG/k7owtBr3OO3AAZUtxU93iZWtN5q0/8/o3N5RYZmvnePbgr1ZcvqPbnXA9GhYcXX1rc3ONARYAY3QFIDk56J8v2ipO8cmU/va+zZgxM1z8i6oIhxyJRJKfn5+Xl9fU1GT86PXz8wsNDfXx8TFmt/SkOC+LEGf6+wwqYxcAPvwdr8wHAGUnivfCoEXEvK4yPXEVivfAZxzs/MD1A79vUldnp5LHszCWF0kkKktLJqW3iWF5OT76SP/hhxS+Ohu5X67c8dIzS2qd7JUgSUgbe1nfdKNVojYHtr6rP/59dRIFWhWSXtAYmP+3wa2sWmvnKnvjnfGDfWrDh0Gv3/Xb6tTkMJNnN+8+O+ux95uamgoLC8+fPy+VSgmCYDKZQUFBYWFhdyaiuhaFXJr+349T4jyMBsybd2fPeOTtIZTsqqqq2rdv3+OPP258SJLkge3fQlkvbpdHjp3XvZgk7Ww7vnejI08dHuTez2h7Ms77Rc3y9DNd/zjkKOTSr959dNoDz/uHjr4zV7zzqJTy49s+mhBvInezpV63eoE+5Y3ilKRQk+YQn/9y1NotylxFaMbMsGBewbp5rKysjC7Uxod6vf7SpUv5+flbt27V6/UGg4HFYvn6+gYFBfn4+BAUaHSDU/wjDdi8HRoxZM0oOQS+EyLmoT4PWb9g1INor8Glw2ivhcgHAJSXoZP26l5+nOcVj1ZYAPIODWkwUDQsdNajodC4OqXT4e2VPj98UsQoOo6mAhC6NxPf+e+fMx5b0oEj6+E7znSAVbwP5ScwYx14jhg7F+e3Yu/bKq/JC5nPVKc8HDJr9S3cyDsHhUoFpdcCSWNLR9Gl2guX6lraJJcb286Uvujl7RccHPz4449bWd0V2dNsDjdh8qLSvE0jw3xkcqW1o9/QCqK6u7sbtzuNEAQxMe0JaWebVNLu6HJV9YDLs548b1nGno3Vl5vdrqymXEtKYviO/X9x+UKRnelqzaGFzeE++uLnfMG9vEfGsuCo1HqTp0SOtLT7T9hszm8f4SG0Hihl04wZM3cWc4A1ZFCp1ICAgICAqwqWGo3m4sWLeXl5mzb9WZR9KMjXcdves84ONr6eDn6ejrbC6/xDXP8ZHJ2RQKI0A66jIPIGAMcwVJzE2d8grsDYZ6/GQDoZdLKu3yX1OPQJPGPh2PW5+MaxM51qzXfJsTQGBZd2wooHgcv69aIlo35k/PMLohdi5BwQhAXwmGcBzu6HXzL8JpieVegMVJ68aowTPgtu0bpdH/Gmrx8ROAuU/4E/JKVSWViYf+psXlFxiUqtMa7dOtgKAryd58+IsxFwz+aVuYy43/4uE6tUyCVnMrb4O7MBsFgMhaRpyC/h6enZ0zYHAJdnzTUlFmotdNSrxf2Plpo8Yts/P84aOsGL/rEW9nUOuAehXDfZbvzjibqPGmhWN1yAacaMmdvN/8Dn4v8uDAYjNDQ0NDT0wPbvn5r+sK2QT5Jkbb24tKph657TTa1d5soECEc7gYerraernaujkBYRjuJ63P9s3+HiukSDcOBDKNtg0GPGxwBAGnDqRwhc0HgBAmeEzEDZUTiFwYI/z8ejQ6OhGqOioCmQtx4pjrCXHh6bXAbXx8G1vRow2bhD2Xnd6AqAXgO2Tc8DF1pI7fjfrIOTb/k+DT0tLS2VlZUVFRWVlZVqtRoAQRAsFsvdzc2CQV0yL0lkYyK6tWTT5dLOa48PL3v+/Cwl3pNtwQJAo1JJbadBr6cMqYZIH9ucfmhprHL17FrYO362RNwun5wYwmDQARj0hiOni5VKzeTEMCZNp9VqbrHC0UwP+lv8pkX4oLAS4d53bDZmzJgZDOYA67bT2nwZijpbYQgAgiBcnYSuTsLkMVczKkiSbGjuqKhpOnH2Ym29WKvT6U+UUFV/ESBENlauTkJXR6Gzg401/8qX1AmvQKfAlhdQkI62SlBoCE6FuBJ6HaIeAoUKvhOOfw0aK2b0Elhc2T3pqC8qYWeU8t5OyUfogr6zZHAR+yh0atOS7vYTO2Ua3qKZIKjPvzlOSacwGXSKrDosIPDy5ctOTsOj8ahSqerq6urq6mpqampra7VaLQBjQbtIJPL09AwPD09LS2Myez0j2ZT79v25btZ9JpKEOBbMdskAyzN3HoJUGaMrI3wOQ9Ip5ltfd5PuJuhjm9MPMYkzd/76TtqkCCaTIZYYxs1+ae8/P9ENnRMTQqprG6zdxjh7+G3Z/o2Xk+XWH96cPP9lk545t4JBr9dq1UzWMPiFDxcatYpO7TdTNtwHOzPNAZYZM3cb5gDrtnMk/fsZyYH9NCAIwtFO4GgniBvlDwCXW8C3xCOTSZJsbOmoaxCXVzcdOVUkbpdSKF1FCYSyg6HzdZR02HlE2Yn4IiXHximG7T22a0ShNya+jst5OPYVvBPglaDXEzuqHsk/cP6t2cvgcB3fXIErqs+g9jzodNgHwe1qqXyLWLZk6RPp6enffvttfX29SCRyc3XZsvXv+++/v6CgYDArHwOiVMhKL2QrpG2+jgJrvyQAer2+tbVVLBa3trbW19c3NTW1tbUBoFAoer2eRqNRqVRXV1cXF5fY2FgXF5c+gdT1aG2sUyklJk9Zcti1zXddgMXiOqg1WibDKAqqaWjXxN+GlKPRo0dnZWV12+ZcDw6XN2Xh69s2rksY6UYnNBZsy2kLXmptqvtry+cjAuw41gKRncucpe/mnNxNaThz6uCWSbOGuJDlxIE/O9uaU+e/MLTD3s3UVV9ytu03HVDIQ5vpP2kzZswMI+YA6/bS2d6SkvYwnWPCZA2kAa2ZXc3qtQatQeDGBFD13r7s8S8yDlBjI8UOtgIHW4HIhtMpFbZ1cFY9W0w1fpctOagSBTcpqZcb2zbtYeQXt+n0l0YEXbZg6QFQCAoJUiqj5hWOIlrLrdj1BMM2xl9830RNsfNMCwOD3yFjMelsi2siErcoGLToqEXBTtTmIO5JGAyoOPHejuOBgYEKhaK9vX38+PHu7u7WAn7JpdLTp08P/lbo9XqJRCKXy5VKpUQi6ezs7Ojo6P5ZX5QBKng8S011Hs1plJVrGEEQNjY2QqHQzs4uNDTUwcFhSIwjmRZsP0/T+hccjoVc2nbrlxhiCIJ2pTJ/d0bB5HkrbkdNfk/bnP7hWgnmLn3n5KHNdY15Wo2KTmcI7ZwjEuZcOv2nO08GgCCI0FHJVDojPGpoto8vFWV7+YdTqbTivMzW2kJKP76Z9yKtu/8OqyyEjwto198XJgADCYpZrMGMmbsIc4B1q6xatWPSpKC4OO/16w8uWjTaaPMH4MEHf/rpp4d4AhFwnfUGUi+R0TdsdmtsZlkf2k/ja9oknDqlw+gxU+NDFR2d9N/+dm1qYVEopI+HLDZSHBbY+fZngQBoVJIgfTo6KFSDkm1tOTJU8uHKuvbOoE++87G1UckUNIWSSpKESH1+y6INjKDoTguXTqmio76qs+pibWmdTK5SqbUSmUKuUDMZdLVGC4BCIeg0mlSm5FtZKCoKCIOOpSvo3PUxWstBY6Q8+3N6erpCoWAymUePHo2LG2MU91i2bNmsWbNeffVVACwWi06nS6VSPp8vl8spFAqTyZRIJJaWljqdTq/XczgcFovFZrMJUltbmsNszU9+9OOIiAg+n8/n8xWF29tO/6bqrJeNnsBrOeex4u/b9HrJJO0WLNO5QUwGXa2Umzw1LMhlEoNe39ZUQ6XYA5BI5Tw7P5O557dOT9ucARtTqNT4iffHT7y/+4hv8MgLuYcaakpCIscCUCik549vycvcteCZj24lE0ujVu3cuI7HVMokYo1SRpFfmnlf5M4DuVpTRof3JBq1qp6rjZqdiLc34Ok02F/n1Q9wR1ElQjzv7OzMmDHTH+YAa8gwyk1lZpZv2HAqIMCeJMlnnvmTRqO8/XaqRKL65JMDTCYtJmbG99+3yGRyg0GVkOArpHvNS631cJHDoQDRAfATATqAD0gBxET0XU0ZEdRx9UHxXllZCZn0ItdSB0DA07y7oqiqjsO30vCttABA0kA8BoANONgK4OWEcG9wB9ZEBWbi7G8IngppKwp3Ytxy2EZMHDcGwPPPPNbU0EQQFILASy+9BCAjI+OG7lLZhoVSPbnoiRTl1n1aIaFnUoyy+OzgGezgGSAN0tM/6ANuoz+0UiG1unbpDoAxf8uUmNCwkH/20IXTO8QS3YJpXTLlecW1YQlLbt8Vp0yZsmfPnhkzZtxEX4KgpC1a2f2QLxAJHX0b68opN34/Ky/l0+jMmvL8lrpiOqGdMNqHy7H4bdseGz43Mdp3/7F8ttDzXxJdATi2d2P8KE8IeHh9Ib7YipF+GGfKfDA+FL/uMwdYZszcVZgDrCEjJ6dm6tTQX345lZjoy+EwMzPLn312XEuLdOPGM0VF9W++OfW115QZGaXe3ucXLoyprlYpFWeXTLpScv/gRLywBp+/BZLEIDeAbH0ta3Jgqet5zN25xwLMteOUHUPwFNAHShDWaUClw0IAJhfhs9B8CYc/gX0gpE3HFL57c2Xvf/bdoGbYd1Rl2f9N53oGeYePASANmt64f22t1QiPiDT/0Jgrc6ZwY26v/KyrV1D+wePurl21/SRJnsoulip0HDbDUcRlsoa/3J0kyc0/vO1qxwrwcSltJLtNx9ulahuRKYmyISI6OnrlypU3F2BdS+r8Fwdso1YrmcwuhXqSNJzY/2dL3QUPRy5JwstOMMbvaubi7JSRh05ePFEkj5687N5WvepJaeEZmqbeRhAAACwGXn4Ae05j/V94Og2M3sINlhZQqtHSAVEvl4KL5XUh1gEwY8bMcGAOsIaYRx+Ny86u/vrrDA6H4etrx2DQcnJqmpok+/bxExJUzc3VtbXw9hbJ5erSS7Kr3SgEqBpkfoe68xj7HFouITh1gCtxhAABnRJnf0fgfSANMOhh7Y62atQXIigF11qRBN6H3E2IfqS/YaVNyP0LfskAQKHB2g2dDRB5o7FIaR/BlJFMfr8OiddBLu2s/79xDqNTee5dhnc2YeNswsY1HD9v53RHv3bzBaKWDmX3Q4IgKhq1aQ+tUMglNeWFY1MS7+RkeqLVak7u/1PSdpnUKePCnR3trf85dC5+4tLDe/4v1N+5uKKJzhnKykGT9LHNuR2QJNkubrIW2tdVlfz29Wup85cHhsYYDPrtv30UEySMDwy/tkt2fnldGzFhzssDekjfS5QV55Tk7Jg6rne5a0o0wr3xzq94bCpce69GPz4NX/2NV7sKhKUy5bpv0xl0Gpc7WOdsM2bMDC3mAGsIWLVqh1BouWVL7ltvTd29u7CtTS4QsCkUYubM/xMIOGvXTrewcPv++1POzvnvv5/26acHTScpjwhEfhHSlsHODyUHjWZ//V2VZYXQVGT9AtdROPQx2HzwXeGXjLpzuLgfQZNNdGFyIa7qb0zSgMKdiHsc1B55MzwHhEwHsP/AuUkPvLb3w3UD35FrKMg+TPhNpxRlthVlekzpWqOStdS7deYLbG573NATjVolVyEnvyIy1BOAwUDyBdYcSyuOpZXIzvlOzqQnJEnu+PWDpFFONqE+3Ue0YNs5uo0av6S1uW783EcZTFOlEkPK/fffv2XLlm7bnNuBXNa5/q3FI2MSSU3nxKTo8pwdead2MahIHu1jLegbCkil8n0nioNjps2YEnv7pnS3oVGr9m/7RshW9Y2ujDjY4M1F+GwzxoYjqsfqlKUFRvjgYDbGjzxzvuy3v4++vmzWpt15d2zaZsyY6YM5wLpV3nlnes+Hb701taNDweNZEASh0egoFAqNRgkIcHj6aTWbPZogiG++WQBg4sTAiRP8ULftas95c/HWz2C5AkB7NQ6tQ9hMWLuBbmGQxEVtAAAgAElEQVTiqgc/hFoKFh8JT6PiBPQaTFwFY75LWxWEXtDIwOQCgEGDUxswZikA1OVCI4PBgOtlxnTUQKvqFV1dQa3R0jn2LAvOjd8hAIhOnJFzksHwGac79XlHSzNfZAug7vR+l6nv3NyANw1BEDVVxXRmuJ2wxU4kOH2uNGDEQIuFt5mic8cLTu+Nj3S1EVyVP62safAMGg3A0c3njjkZu7m59bTNuR1s+WltyoT42MiuZcvIK2lDWp1erlC1ituFNgIOm2XQG07mlHSo2FMXvsmy+LeoXum0GgBbf16TEu/L70ecnU7Digfw8x5crMGCCaBeeTtPitJ//OfXtc10Gu2LtxebHaDNmBlezAHW0MNhUzN3/WfMSN+ihqaS7Iowf+cAHxcOjJnrPektHsig47nZWPs9PliG6R9B1YmGIhh0YAtAY0HRCoMBBBW2vuisg6oTU9/r6ugUjtKjV2Mm11HgCNFYjLJj0KsgFSPsSlaNcwRyNyP9ZfhPhKUIziMAoDAd1h5wDAEASzso2lGWAe/Evs9Kp/LuOAIsu7l7QhDEyLgpAJR8Xu22FRn0cBdUC+hsjssdcgXuhs5gPvHKV3xru8yDmwpq21y9Er38TWxLDS2FOUerSs4IbN0CwhOM1i4qpfzE/j+Ukma9VuXjxp83ObzPx+GF8ub75sfd7oldy7W2OUMLn2cVG9kVLxoMZFVNw6XqVrWOxuDYWPKsrfhBpw7vC/AUlVRL4iYtvGOR5d1AR3vLjl/eZTAY98UH9hdddfNICkpqsOYXzBmLYE8AlbXN64/nP/n+0oBA99s9WzNmzAyIOcAaegiCaGhqXb+17POqiglWwgnRTtAOzoBFZAVFfVfuFIsHj1gAKDmI+gI0XYTQE7a+sPUFlY7kFVd7GXTomRdFt4B9IADwnMBg9fG3wbT3ceB9uI4CSGT9DIKKyhOwEMA5DJHzQbdA8ovI3YTi/Uh9r2c/JptLKIdAhNPCMcT36b0+Bq0ibzNnxPxbH/AmENo6AUi47xo5+6Hm5MEt0YnT21oaGi8dmhofWlXbVHT0u5YOHZ3F1yhaJozxt+JeN44hCQZtOKxmBm+bc3N4hcTnF2eLbLiZuTVMrsjVOyxpdnRPZXY7R3eppG3upJG3aQJ3J+KWy/v/+nz+tNF0+o38T/ZzxeqHsWEvCqs2UCn1TW0fr3uKkX0R5gDLjJm7AHOANfTQ6IzZS946uOOnpziUp2PCORxTe3zXolTgtffw4NS+1X9+4+E3vtcRyx7Jrfk7EDr9qk1hT/imHGyaLyIsDWwBAETeD9KA6Id6NaCzEfUwzv52bVc11ULfemlQz6V/SJL4KoCzbCiGuos5dWiLtq1gy/c5BgM5dVwgAHcXO3eX7tfOdYD+ZL/uKLeNwdvm3BwhkYmZh1qk7Zj+yGIazUSWob2zpz3uQbkBcUv9hXPHXDyD3bwCid4FKNLOtkNbPp8zOYJGu/F/yATRnBr7/qof02i0hz95Egw6tmYM1ZzNmDFzK5gDrNsFi8151CMIQFNzm1DIp/YvCNQmxap1eHouAkNv7DJNF1BAImTQpfW2/ld/N5ndBcCgRbfrTg+s7J3rC4/2P3y7uPHIju+s5RedXP18pr9luhFB4OkiE0WO9xAqpaKt7tyUcSNwxR7xhocghu29GRsbe+rUqdjY25VXHps85zaNfNeiVikef7hoXMze4we2arT6Jc+/v+aVz7i85KSEMoCqUbZNnzjiZqIrYOvurMycknc+fsqyQ4Y1v+D5OYgNxol8xN3gfxIzZswMNffyh9zwYsnln8hvzirV/XdH1s9/HR6gdcY5LH/8hqMrZSekTXC8kV7lJ6BVDdCGygCTDVkzNL1kzR1HJudevEj2s7Ki1xzd9OGUsT521A5LkUe/l7jHhSIb6ircHLqMfW5uKUiv0w7pjG6AlJSU/fv3D9fV7z10Om36xnW+HrYurp6vrdv85iebXdz9FjwcR4HXCN+Q1LEes+6LZDL6LRk2hUSmfPOTTQwG7ZNViyw5LDgJsWoRvkuHgKs5mH07nogZM2ZuCPMK1u0iPGZSeMwkAC21xT5uAoOBpPTjFFZcjZnX8WA2CUlC3orzWzB6KWxuZD9F4ILM7zF2oFx1nQZNJbh0GFPf7ToibaIV7oxzdt+1/Z+Osol87zEmJqWWhIt3lG85Lgif4xD70LUN/j10tjXxObcURPq5C3b89tF9c5d1S3HeMWg0msFgGKRtjhmT1JRfyD+zl9RrQeoMOmVipHtREV2hkOz45V3oFRo9VaNRvbWctfKD8C/XnLuJCPzQyYK9GedXPp1mze+RDs+kY+WD+HZnnkyty7k0OtIX9a2w7ltcY8aMmTuDOcC67XC4/MjQgYqhpM03MGJDISpPwX8i4p6EWgpZCywHrW1t7QZFGyqz4BFz3TYGHdRS+IxFzh+oOQORD7I2gMaAc7iNlYOde3X+0V9tFYR/aN8tJIItdF+R23rsK8YwZa/fPQSEjd72035HeyHjxlcmukbwcWoRF1VczAsIu/4rdduYOnXqrl27Zs6ceecvfQ9AkoaM9P8smJnQMzGAJDFvasyV30m9Xk+jkQ9Mr/ntb7eHZlUPfnCpTPnxd+lBvi7rXl9o4jRB4Ilpkk0nOQUN2H0KJBOWw29OYMbMvxNzgHV7IUlSp1EO3M6KQFEegsIGaGYw4NSPoDMR8wgoNACgUHF+K2gMxCwe5IRAY6Kf8rSC7ZCLYesHcTVodOg0qMiEbxIcw4zZ9xSLbCnFxo19HXloFl9cnMHKWNee+p3b6HmDmtK9CJPFTnlgxe7076lQGkiangSTouVyGKMjfAZfJhYfHbgnI93Siu/i4T9w6yElKipq+/bt5gDrJijIPlJXedGCY9UzuhK3M2Tyq687QRDGjKsxI8X7jtq3iJkiG/VgBj9+pnjb3jMvPT7N0U7QTzOFnSh52hOQHsOGQ4O13jJjxsxQYw6wbi8X87N83fkDt3v2cbz1AT4OBkHtr1ldDhgsjOrxzZXORtwTOL0BGZ8h8fnr9MqFYzDUclgIIGuG60g4m/KLBaDoQH0RJr0OAIo2OI8At5fMuri9s6PwaNRDC0TeIdebo9/DP+r1OoqVqRrGfxM8gXBGD/9jAOKWhvSdP3CZWj8PWxcnu/62jAEABEHwuJzhKifk8/mtra1CoXBYrv4/SkXJ+f9+976Xj/+UxMCex3/a5LHy6RKTXV5ceunLn73feLa4/5ElMuWXP+9xcxJ++uaiAadBGrTgWcPgNviZmzFjZsgxB1i3l+Jzh9PGDUKz0ZKDUC9MeRKrJyFq1nWbCVyhNCWpFf0wsjfi2NdoKYUFF6DAoMeEV8DkoukCLuxBQTpUUrhGInI+fG1xYQ/8J3StgfVEUo+QK7LmbOueZ9SyztqDv1EZlrzQGaIR0/t27AnPrd8g8d+Ljchh1uJVCrmktCj7XMZpBqHw9xDJVZqqyx1sFi0q1IPL7SWUT5JkUwc5xnN4zHrnzZu3devW22qbc49RVVr4fx/9f3v3HdfUuT4A/MkOSUhCCHvvPUS2gAOcIFoVrbN7j9u9b+ttb29b2/56u26rndZqnXWjOHAioCAiG9kbAmSQPc75/YFVtMhMSALv93M/Xjg5ec8TG+HJed/3eV5ic62WzQvn8+5omyhTkPi8we9RyeTk85f5VbWWfl73XCyVde7ayQvXX39qqY31iLoxWrNJHa319rZeo4ofQRD9QgmWYbE4NkqV2oI+3GLhzm6QycCbdzO7ai8FO18A8s367FoVXNoCQIDAhYBjg48QuRZwHeAYEO9c9GMXCPPu+DANBAJYe0BFFgSl3jyC41CZBWQakKhAtwQA0CqhuRA8bq5kl8mVWaevJS/fzHH0I27cOIrXj/wNg8kOi54TFj1HqZDXVBQybCxTk0OlfaKLJ/7g0dpipt1erqfT6WgWRmtvPAFtcyaTX38orC9vWJuR7u9lS6ePtEJsToH1/uNO+77PfeezYDcn+dMbauk03cATxH3yz7ccDg90/+ydUewaiQ7zPn7uz8VrXgbyVOkyhCAmCCVYhmXBZKtUimESrMZO+HE/LI2EB9bdPNLXCflbgUiCRRuBSIaacxCwEBrzoOzIUCWvCKSRTifxvSD3BwhKBWETnPsKHELAeyYoJaCR3yz6QKRCdTbotP0FsU5cqFj48EcWjCmxWvaJJ36vqREIBH0hIU6ffrrc0XGQGd4vvjj1wANxPN4YOzP2o1swgiMS+79mc3gLM565eun4ifM5Hs48G2tuY0u3TKnu7hpZDwDD8PLyMmjbnMnEmnk2dF7Ylh3hn75dAqC9eZQbAjSb3l45ZmENdvZ3PeXHn2k6HXz2tQog6cvvoKTU5qOfXJQiwQMrGgJ9JQBw8MSV3MLqV59Mt/5bG+yhUShkokaokEuBMoL1CQiCGAZKsAxLJGix9BuyZrdcBT8dgfceA/KAiTXfZPBNhtZr8OdL4BQGDsFg4w023oDpoHAH8AbbPQQAohaozoboEXzS7a0HJh+ETdCQB+kfDzJXSCQCyxYodADorCqyoWimSHYFAJs3rzt9uvLixZr33kv73//Orl0bU1XVKZerKys76uu7+/qUGzcuZrFoRCLh0qXaX3/NDQiwf/HFlOHHHYGI+AWKaYlKuVSpkHo4c6k0izg6XS8jj83KlSu/++67119/3YgxmAtcp4wIFr37QsXH//MDAAdb5WNr6nt6iK+9e5BCIeXk+M6c45ac7HDr/PXrSxcs8F67lg5wM00PiYCQ4J6u8qoPvwp489mz323Lip/u9/GbY2zoFDfNM//Mn+gOFoIYESo0amBa2TA13N/5P3h+xR3Z1S1O4RCwANyiwPOvolNEEhBIgN2jBGXJQXAMHj4kZR80XAa7IKg8CWHLB8mu+gkbwS0GAIQlF2Zs+GT4YSejq1ebVCptW5uoqan32rXm9PSwhATvw4evFxY2KRSarVtzZ83y9fS0Uam0w491p8WLv62r6waA//zn2LZtebeOv/rqIbmS9u+PL/fJSHQLRn9PlX37rlZXd/b/qcdXNyw2m93T0zNUaVkEQKvVnM38jUXFAMDeRvnBK2UfvFKWktD13ueBO3aVpKWF/PTThoMH/b/4glJVJXj44a1PP73j6lWNSsVMTcV++OHCCy/s3r+/6Omnd7z44m6xWGnDUzIZv2x4IevVJ5bMnzn2NuQ8K3Zv++DL6hEEmRgowTIgDMMIMGQ97kMHIMod+Jy7jwubIO9nqDgOChHYB93xkF8yFPwx+GgKIfCHK7jVkA9Xd0LAAvCdDUweKCX3PNN/Psh6tGolnWiotnSmj0Ag6HSYUCjv/9bb24bPZymVN/+bPvpoglis2LQpSyweQSWOO61fH7N7dwEAHDtWGhbm3P97Vy5X3zqhrU308st7Hn30N6FQ/tVX2Vu2XOj/s7ZW8PeTDScxMTE3N3cCLmS+juz4P3875Zz4O/Yi+Hr2JcV0797Hio/3AgA/P+4XX/C3bMEffzwRADZt6uVw8hQKTXFxS2Kid2Zm6VtvLUxM9Pn62+Mvvb81wFv81BOzT14sU6nHVc0/fe708TwdQZBxQgmWAV25cDjYx2GoM8qqIGmwAu6CGgACBCyA6A1Apt39kEoGPXVQfvzupjcUJnQN+Zm1sxKqT0H8Y8DiA90SxK1wbR/k/QLy3kFO9p4JTOuW83vps94easxJB8N0ADeLB82e7ffUU9s///xk/0N3JZqZmaWVlR1WVgwLi1FXE01PD8vKKqup6fLw4ItEiv7fuydP3t6r//HHx2fO9PX3t//++3MLFgRlZEzv/7O1VfT3kw1nwYIFx48fn4ALmanWphv2HJ29Le/vDy2Y1eHo4Hn8eCsAlJW1bd9+OC+v99ixMrVaq9XiJNLN3SqxsZ6dnRIbG2ZOzoELOWc+eWvd/ekJRFyanPHqn8eLlKqxp9FkIgbYiMprIQhiCGgNlqHodNrmqryYhUN+iHR2g8Yb4PS3klG+c+DkJ6DuA+rfFreqZWDBhtYScAiCmnMQMP/2Q3GPQGflUJcrOwpzXrz9rbgd0j6EC98CdfDF2rhaLuvtdQ+dP+ijk49c1ndy//cLlj+ZnOyfnOwPAGvWRC9bNo1OpwDAhg2xADBvXuC8v3Zlvvdemkgk53AsBiZefeLeD19d9exb3zi7+w1xLTqd4uVl85//HFu/PjYzs4RGo6jVWp3u9hbR+vrupqZeCoXk4cEfODM46MmGQ6FQCAQCaptzLwVn96Um3rNX1ZZvqdPipAcObCMSJR99dP/Zs229vbLKSpWlZfvA+mLTplHCw1NdXZO+/u8/qZQSACASSWwOL33D2/u3/WdJSgjDYqxL8bSjvreKIIi+oDtYhpJzclf8NPdhTnJ0Be09fm+5RYGgbpDj/vMgci2ELgGeK/TceQKdDW7Rt7/FtHB6E7Rdg7KjIG6DmrNg5Xp70auw4WZexeLfaxmWuq2CpxOAXDDMq5gUFHLpwV8/SIlyoJF0oFPe+h+dogOdUqeRq5Q3JwrVKoVKIQWdEtMoLOh3z59acniPv/K5jb3LsFdcvz72+PGy5GR/DMN7e2X19T1XrjTcevTxx5Py8uqPHStzcuI6OHB27Sro/3PQkw0qNTU1MzNzYq5lXqR9IjpR3l+TfVB8a8qNG+HOzmt++ukZPz/rmJiQf/97yY4dj6Wnh37//VoHB87778//7bfvfHwYV64cPn78HV+fm2mXTiUFAKYlZ8kD75zMbz1x4foYpwt18jG9MgRB9ADdwTIITKfLO3dY4OVLrezW4USCTubIZ3m721lxb9+RwnG8m0DF20W9N+ptNa0sG5e68uv+M/+q89lTD75zhroGiQoAgGNAGJAl4ziImsHKFWrOQXMh+MyGPgE4BAPHEYAAXjNvn3ntT5i2AgDALRZunAG/m/vgZL0dguJzQl64jkjRijEfZbe6+waVeUc991E5caJ89eofOzo+pVBIzz77x5tvLnRyurl1XC/FDvRCp9Me3PbxkrmhDAs6dJ76+wk9csWFigZnbgjTkkcSXwnwcQOAw6euLVr37t9P9vQNHclFZ870bWvbBACbNi0XixUcjoVCoemfbfzmm9Xw1z0zBoMaG+upVmupVHL/n7dOHscrHoXo6Oi33nrrvvvum5jLmZGLJ3bERwxZzLO3gE4gffoS+flnA2MiRPH+qnde5Ls6KXq0Yry1e/ufZ4tKa996fpW1lSVIskECgN8sghXqw9+15V13v0jvwKgl618XC7szD26mk5SB3vauTrajWBOpQ3ewEMRoUIJlEEQS6Zm3tzBZN6tE4jje0VpfVnGlNadwVpSnFZeVf622S6R1cwjjOLPBmtdbm6kq+/2qJtRbq735gdhmBFWYfWbBhW8hcBHwvQAA2kqg7AgopWDvDzbeMPulO07m3LkaLHDRzRXxPDdozIe6HPCIr8o7S2yv4Mx5g2UbBABkMoG94n0iZVxzQ7/9lrdqVWRmZumSJWEAUFsr2LjxMINBTU8P6y920NYm+vzzk2KxwtfXrq1N/PDD8VKpSl/lDzQatVIho9MZFOrgrwLTaIouHq27cXlunPcQEzGbrpaVCXqXNYq5dOLyBVEAoMMwIs2KMkRXx9HgcCwAQCET5Jw4njDvfhmus6RZMBi3B6dSybf+7D95DAu/xozL5fb09FhbW0/YFU2fsKcLFB1syyGTaUwFAJYW8MtneTfqWUezHZzsJDn1ktwb15ob9j2/eu66pTEAg9xn8nSz83C17RS0l5z5QY5zF6589r4H31Yp5WVFFwtP5ztZkwcWpB0K2gGKIMaDEixDuZVdAQCBQHBw9nRw9sTmrLh4are0RjA9aX2iw4BOYWFxAB8s6G4/vvPd+QtnUag0EDYPfw1rT+B7wcXvwCsJyDS4cQai14NdIGiVQLG457OETWDlCnYD+geHLMEb8ut3f2TtNp3/vD67w4pE8vZ28WOPJXz1VXZ/grVpU9bnn2ccOlRcU9NVVNSclhb68cfHU1ICqqs7X3113969T4SGOj/xxO+zZvkymTSVSkujjeIt2tneSKFQefzbqWTFtZzyvD/ZHI5aR+baeSXNX0MkkXAcK7+W01h9VauSMHp7pjW0Tn95mL7U/4wOFchV3gNuQFbVtPiFzRziKWNApTG4fLufv3t7W1/3rJD4j5Y9pd/xx2zVqlV79+5FbXNuwXH85L5vliSPoouRj4f0hUduyOQq+PWYqo+1JOnfMdPahjifQCDY21rb21q3dfYe2fHF4rUv0+iMiLh5EXHzbpRe3p+1f3Fy2BCzkwiCGB369zmhiCRS0vzV93qUx3dIWvxk/a7HPRY9SqEPV7u5LgfErUCmQ/QGUEmgpwkcQ27WdLhXdnXqE1BKwcoZZtz5m5JMO9zAir5/L9/5nst1x2bXrgI7O8sTJ8pragQikRwAurr6fHxsPT353d3S/nPq63v6V3Pb27NjYz0B4NFHEwoKGr/99mxcnKet7UhrWJ87to0ob+gRKagse3tXPwcXH0FH442SnLAg7wAfJwBo7+rd99M/qRZcrVIc4mMzP9aRRHSCHacgYPieuBwqlUO9fT9Jq9Ndq2i9f/Y9emaPFcuSGzkjVSWXdlbkRNNNqLIraptzl2N7vo0LdaRRR3ETEcfxPw7mXK9ofPGxtDf4nE++syyrZgf53rtOyl8c7XgdAlFVSZ5fSGz/EZ/gaL6D65+7v8hIjZyyJVQQxPShBMu0sN2mE9bvaPtjDZcgxYnW3KBEAACFEGovgI0PSDrBMxZaiqE+FxxCIHw5EP6qUOqsBLVsqKF7G4DKgKh1oL1743drSb63g5u9vrMrANizp/DAgadZLJqdHXvPnkIAWLUqcvXqH4uLm19+eW7/OY8/nrhrV0F3t9TJyar/SGZmaW+vbFTlDxprSiWdVYuTwwFAq9N1dNa2XCuy5jDuS/YjEm/+BnKw5WUsvHM7fX074Dgsih3Vi8JxfH/W1fmrXiYOXUJ2rGbMXTVj7jB31CbelG2b09ZUU1dVKO7pxDG1VqujUqkKqXB6oL2LE3/4J//lWlnDz7uzV6bFr1ma0H/k1SeqX/xX2Jf/ujaSp0cEe+7NPEAiU738p/VnVFbW9nHzH9x/4tfFc6ZRKOjHOIKYIoJRyjRv2bIFAB5//PGJv7RZaPx6DklUZRudRpV1AYEAnRXA94LeJohcAyQKXNkGKjmk/+eO52AayN8K0zKA/reypf3ErWBpe3craAAAKN/3tf/TmcR7FGu4y8aNGzeOo9/z1q25gYEOv/xyad26mP4ajADQXzNz4JKjgeUPdDothmGDrnbCMKzyem518Xlrli4hym/Un+Y/2QGPLQbe6Bq95RXV2AekufuMoGj+JCKRSKZU2xytVlOUe6Kp+rITn+bv5cBiMcikwdotDEcoln31cyafZ/nkunkk0h0Z+YnzdgAwL2lE1fkxDC+tbKxrEfNdg2ekrOx/q/d2t186tVOrENpwqXbWlnwem8u548385dZzPLfo9evv0VwLQRBDQh99TBFBLbZd9i6VPdia4qI9oJaBU9jdx4kUiFwHJQegpw5iHgb23Z1lgfO3alsAACAUill0ixFmV+M3d27Azp0Fzz03OyDg9kqpW6kVhukABwBgW9JwDDux53O1QkIk4gQCUaklhUQv8gm+WYcCx/FLp/d2NRQFedsume09lomSndmQFDba7AoABL2K2CmWXQEAm80WiUQ4PpnL+nd1NF06sYNIIhGJJJ2iJzzQMWpeyJhHwzB8x4EL18obXn9qqY01++8nzInv+vDrgBEmWEQiITTQPTQQGlu7dv/w7ox565zd/Xh8h7T7XwSAHkFbV1vz9Zba7sul1pbE6HCvYRrMIwhieCjBMkVapmN7dalb5GBrqKdlwLSMuw9iGgCiGifpvOcS7AWUy7+TotbesW3w2l5wCgMbHwDQKGTC5hoqhchxD9bqsK6szR6rvjbca7mLoyP3pZdu7g08WXU1xs5NKhFJ+4SNN4pU4sY5cf4Dt/LNn3HHrOWVa9mHiy8mL32sp6s1J2tbbKjjjPnjWAUV5Qc/HgV/V7AaXY5FJmEqpZxGn3JtdOPj43Nzc+Pj440dyHgJe7qqrud0NleCTkEAHYFIxYBIJJJYNG1aoi+JRNLqMAp5yB7tw7l4pXLPkdyHV81et2ywVg0AAEAm4yo1UacjkEijmEZwc7J1suMVle4vyJaSLXjRs1fY2rta2zha2zgGhMUAQHdXm1zXZ8FlgVYG1OLxvAoEQcYDJVimyPPJw5lbXrpj6TWGQUcpSLv/XhxLLhW3HfoGt3QiEIkYgdLmlMpkLeKf3l3OnkUmaTy7L+BAcFRWddS1aqy9pRw/dtUhqk+yQEc4UX5Fp8MWPrSfyh/85pbh1FYWbTu+dY+w/SEX5zmOdiwGJcqby+UM09o2KtxbLJFePPCpFZuRsTBsmC7aw/JyguVJUFIHSX+7HTik8EDn/HMHh9isMFktXLjw3//+t5kmWDiON9aWlxWc0ih6eZZkP0/7WO97VjqgDNp8fWQaWgTfbj0+PcTzvxsfHPZu35qlTZu3ez69oXZUlyCTyVFh3lEAKrXmcs7Wi2LMxtnHKyDWwdmDQCDwbR1vn0obxUIxBEH0CyVYJspHUYTjcbd/QJcfhau7wDG0P8HCdFh3QyXJyl4iVV8pE6Q9kcXg3qwF+tci5Hc9ANQqJYWIEygWAOANIDqziSSss1z5CbgmAoB7n5hCpVFpY+3CMSY4jp858itN275xeUJKW1eC4+hKmHLYrHlJIyrjOSIqDdBHXcjKwda6qLy4s73RzmH47YeTCZlMxjDMjNrmYDpdU31FbXm+VNRBxJQudpbzol0pFEN9nJDJVf/7LQvDsfdfXmUxsvdVsJ9kb6bzmK9Io1ISowMAQCjqqynefeWkGMPAguu8YMUzYx4TQRB9QenSMaIAACAASURBVAmWiaL4zG29dt552l+zhMGLIXgxFO+Tt9c25WRSSASSXUiHxots4Zjx2DP3+qB8V/LEnf3awG+ZlvdYDq8PGo1a2N0h6u3q7Wru7qjHtAoirqaQyRimC/axd3H0BYDRZlf6p9YCYyz55fykkMzjW0hMh4gZqfZOHnqPy2SlpaVlZmbqsaq7RqPWqJVEIoluMbpVgCqlvKbiqkImCYpIsmDcXdIC0+mO7fkGVwpcHTixfg5MxlB9Icevf7nV9crGFx9Nc7C1Mui1BmXFtYz6q0hbQ7PgQtaOxPlrJj4MBEEGQgmWiXKb+0LdfxMgPGlg2U/Mc2bLkZ88H99P5ToDgLvRohsEjuO1lUUVV7NBKwfQkomYFZvB4zA8ucxoD2ciySS7XmIYjCkwEpG4OGWaWq3Jy92eKyXOW/HswLqyk9h42uY03CgpyjlEAhUBcCCQcCAQQUsi4kQCAQA6uyXpG97m8obPueWyvtMHfyTpen3d+VY06rEdHwTGLPUPibt1gkwqObx905xod9sJmfvOvlR6+GTBhhUzh1huNZHcXWxqLpZ2tjXYObobOxYEmdJQgmWiCBSGxcw3sg8eCJuZbG3FBgDQKEuvXOav+LU/uzIp1SX51y4dCPTkL0pwHe/SqImkG2OC1Y9KpSTF+Ld3dpcWno2Zma7HuEzZaNvmlF4931BVoJKJPZyYS2b73ipLdhe1WnN4//fLH7m7t6NSIccwHYNpCQDtLbUF5w8SNMJZ0T6WrJvttJc52Fy4crrv+tWotc8AQEdL3bkj3y9JDpuAbXTlN1p+/ON0UkzAF+89aOhrjcqsuIB9h74LiV08/KkIghgMSrBMl2P0StuI+w7+tsnHuTc0wP360R1MndTRM8jYcd2G41jp1fNVRdmeTqyVi6YbO5zRo1FAOd6WyQ52/Esnrk6dBGtUbXMaa0q7a7LTEoavakGlUuhkTY+g3drGAdPpaiuLqksuapUiJg1wHFdqiDoMt7OiLoj1pFDu3t+XGOXf+9aWPcoeugWTikkyFkbdK43Tl7ZO4bdbj/O4rI/eWDOqeu4Tg0wirUqNKq26LO1t4/F4wz8BQRADQAmWSSOTKcsffrvi2sXqP9+1s/eyW/GtsSO6rbm+8tKJ38J9bVfM19+q8wkW4QubD8H08VYnZ1vgYmE3x2pK7NgaedscHMfyT/+RsXCYzaG3zIr1u3r+x16xmkgELxer+TGOZPLIbtZqdTw7XvpMbwqZbOjJaKlM+eues+I++etPL2Wz7t3x0wQE+7mezqs3dhQIMnWhBMsMBIQnqPyPVO15TfpdqttjB8i0CSoKei84jmcf+ZWsbF65cJp5l520ZIA1B1oF4GQznmGSov327fhszTMf6ysuEzds2xwcx8qvXSy9nDUrymPk7xAmg96/J27UCqog3JtGG/WG0FHRaHXb9p1raBE8tX6eHleyY5g5/wtCEOTeUIJl0o7t+VqnFKnVKgsqMTYkuOl0GZE0pvmI9kJw0NsU3rnMbV7WcneXQH0NaExxQXCtZpwJFoVCYUyNRe79Vq5cOUTbnPaW2nOHN0/zd1y5MHyC8u+CSng0zXDD4zi+6/ClwpK6R+9PfnjV3YXoxsnfq6+0ih3sN3zXZwRBzAtKsEyXoLOZCaKkWbc/05/jzw0jj+ljuo3eVm5pNWpxR5V76DR9DWhkfA7kl49zjPLqpqDIeXoJxywM0TZHLOy+eHTzqtSoCb21SSSCTDmGkmYjcTT76snzxasWz7g/fYYhxl8yr+3j//kF+5UZYnAEQYwIJVim69KJHQvivQceoRIVcpmEwRz9zRLy2KuJtjXX5p/ehWv7gGRBoVlWFZ9/c8OTYx7N5FizoXFEzeCGUNssTE8xwzX+4zBo2xylQp6587MV8yMmeuJ4dTL8egxeXKnfUXMKKg+euJIYHfDfjQ/pd+SBmAwtx1LT3Uvj81SGuwqCIBPPfHbUTzHCni4GSX7XBqWZUb5ZeydunXtt5bV9P/+roXDn4lley+ZPX5YSuDjRJcjXkTmm4pwmikCAKH8orBrzABiGA5nVn1IU5Z1QKmT6C850LVy48MSJEwOP4Dh2cNtH6bODKJQJ/9hmZQk2XCit09d4l6/VvP7R722dwk/eXLc4JVJfw97LrDjBpcKRlr1AEMRcoATLRF3M+j0h6u5FxEymhbcjLe/MfkNfXdjTuefHjeK6rGUpgfHT/ciksbdmMwM4DuPoPXetrD40dhEAtDRU7f7lM6VSrr/ITNettjm3jpw9+tuMcCcm00gb69bMhYM50DTem5HlN1pe/XBbcXnDf15bk5EaNzG34rzdpTfq7y5GjyCIuUMJlinqE/eSdcJBKyWG+LsS+ioLLh423NWrSvIuHPpy6Rz/iBAv894kOELlDRDmPfxp91DfLvXwDQUACpX63Nv/41qNa728GUlLSzt69Gj/1+0ttbq+BmcH4xWqIBLg9TXw4xGQKsY2QEVN6xsfbc8trP7P62seW5NCmsDeA1y2pquHVlEzhfZJIMhUgBIsU3Qha3vS325f3RIzzUfTXXr60M8ajXoko2EY9seWf8llfSM5ubmuoqE4Mz0lwggTPcYyjl+lBddrg6IX9n9t5+jh6Dr2RM3sREdHX7lypf/rS1nb58QbuwQumQQvrIRfj432eRU1re98+kd2TsnGl1Y+cv8cyjhuZ47Z+y+X5VyxfvPjYKVqUt8tRpCpZMr8EjUfcpkEV3QymQ5DnBM33UfQIzq67QMS3crDP8qGw2hobu5svWErrxKRbfs0YOPs7xMcb8FgdbY2XM87HEm83n16k2v6B0OMqdGozxz5VSdtWTAzRN+vaXISivpaewlLUuOGP3WS4vF43d3dOo3MlkswdPH0kQVkCcoRferoV1HTun3/eQdbq3eeX0GnGbMgO42KPbq6vrXD4oMvAz58rdSIkSAIoi8owTI5F7J2JEb5DHuajTV36VwupsPqmq921jW5e/hFJ7oTVDygMIFEFvSImkv3KdVaHtsiY0E4kRC+/3T5zQ4jWgUU/QxRzwwcra2p5vyRH+Yl+PGszLYs+8QSS6QncuuWP3x377wpZeXKlfv27bNnihfFD/+OnSAjy/PKb7TsOHDBFFKrgZzsFbERPZnZ9ovmdBg7FgRBxgslWKZFp9X6+IeyXf5ax9NXBTrlEOcTSURvdydwd7r5PZ3T//821lwba+7AM31dOQd/elNHoFJIVCtNm/rS2yy+Izc8RioR1pdfsuGQVqZGmsRNiImnGnU7QqlMcex89fJH3iOTTeV3s1G4ubk1NNQ7+FFMaEKZSgGNFu4dz/WKxu0HLvi4O7z7QgbVdML+y+KU9pfeD5sR1cOxHG+XTARBjMvkfr5MVl9+efrAgWsuLrz6+u7t2x9xdb3dgXXdup9//nkDlUoGABKZ7BkYDwD79l0NCXHyZdOGTrBGLsjXOcj3Vmc3P+gSKradaHZS82mUaXMDp8Ri9kGduALxw7ciHgjH8SNnSu976D0KdZBdCFONnY21Ut5u7CgGuHd2dbW0bvfhXCd73vsvrzLBDs23vPZU1Zbtnq8+OfbSIQiCmALjLXLHcaNd2kj+8Y/k33576Pnn5/z2W15treDhh7c+/fQOuVyN4/izz+58+ukdeXl1tw5+9VX2li0XDBiNrZWFr4tvboWrs/3Uza5OFkBdOySFjepJZVVNEUkZNDrDQEGZl+TZSTkFlcaOYhgXr1S+8+kfZdUtH762+rmHFppydgUA9jZKHUbYddgFtSlEELNmvDtYiua2phuOriazdMPwvvji1O7dBadPVx49+lxrq+jxxxN/+y3v5MkKAoHwyCMzBIK+TZtOvPbavP6DCxYEzZnjD1BjwIAWx0N+OXy2E17IGE8hKHO19yxY0ODJ9NE+r10gSZjhP+bLPvHE7zU1AoGgLyTE6dNPlzs6cgHgiy9OPfBAHI83SBvvZ5/9g89nPf/8nEEfNTpnV49uoXTQtjnGMeCTG47jR04Xnssrnxkb+MEr95tKhCPwxtOVeVd5734eSCbjBABfz74A777wIJGx40IQZBSMlmDV1TVcyz8xpRKsF19MWbo0/JdfLp0/f6OrS0KjUdRqrU6HAYCvrx2VSt6/vygkxOnWwYkQEwi2VvD1Pr23GTED9e3w6uoxPM/Xw7b48qnYWUsHHqwuvVJffXVa3AJbB7ehn75587rTpysvXqx57720H364UFbW/vDD8SwW7YcfLrS2itRq3YcfLhWJ5J9/fpJGI2/cuBgAmEyqyS6P4/L4nq72lwqrZkSOPenUJx4HSuo0AW47D+UUlzcsmRf12TsbjB3TWMRG9MZG9AKAVkuoa2IVV3C27nWbM6MrLbndfBJFBJnSjDZF6B44Y1HGM8OfN+n4+dlVV3diGN7bK6uv77lypQHH8WXLvvvgg6NpaaG3Djo4cHbtKpiIgDAM7Kdem47MPBhrQuDmbNdZmyfq7bp1RKNRXz33e2IwM2vXp7I+8ciHKi5uSUz0Dg11Lixsuny5MS0tdO7cgG3b8j7++Phbby1MTPTZufMKAFy/3qZQmOiSZwKBGB0748ipQmMHclPfiqTvNv3xxuvf+3s5fvbOhsTogOGfY9rIZNzXsy8jteWL94otmdpXPwz9/U9XlXr4H93Hz9oXXOdqtRMQI4IggzDaHSwicWrNSf3jH8n9X8THe8XHewGAWKzgcCwUCo2FBUWt1hKJRDKZeNdB6D1j8MgoZBBMsamHi9ehRwLr5415gAWzwv7c+XnyfU/336+iUKh9UnVuYbWNcwDTkjOqoWJjPW99HRHh2tjYU1Mj6OyUODpynZy4FRWmtH78HmanPbBz9z6VWmPctU0dAtH2/Rf6ZIqH//OY609HwWOoSnJmalacYFac4FoZ98OvA+QK0qw4ga+H1NdzkBrCR047CHpo/l59GhPNzBFk8kO7CI2Gw7EAALFWWn4p39uezOGwAIADAD1gAQByoAKAzvCN7VztQK0BqQJYRuoiN/HOF8Nb68czAI1KWbVoevbZX6UaKplC0yrFPFvn8JSHL2b9fmz3N/OXP0UcrnvjoLM8GRmbiUTi1q0PurhYbdjwi0Kh/uij+776Kns8oU4AliU3aVbKzzuzn9ow3ygBlFQ27Tmay7CgPbF2rhWHCQDw7DL4/hC8NpYpYNMXHiQKDxJptMQDWY47Drr4ekjnJXXyebf7Qnb30nILrT98rfTLrTqLKfPPGkFMDQE3xm6+LVu2AMDjjz8+8Zc2KR19wvu+fWOBPeu9ZKNWA/9wG7w90oRj4xe7N5r7gq0vdutrzRmO4zqdjkwm/5lVSGXZ2TBVTnacpj7r+OSM0Q61bt3PX321ismk0WhkAJDJVAwG1YzWZa9aNnfjs2kBPk7Dn6onOI6fOF988sL1EH/X1UsS7i5qdaYIpApYHD9h8RjLtTLu+cv8+iamLV8l6SPb26rqGpkfvFrGZmm+3HqO5xa9fv24Pk4gCDI26A6W0fR2d1zK/HU2n/l0/DQjh0ImgVY3FTcSjhuBQCCTyQCwaFYIiUjsr7d5ubiwztnH0y98VEOtXx+jo+j6sysAYDLNrMhWZNy8qi4Kmdzm4+Fo6GspVZq9R3MLrtcmJ4R8+vb6wdPQ2dPgi93Q3AUutoaOx7j6b2gpVSSFkmTFUTe3MVwcDX/nG0GQ4aAEywjqqoqv5x9nkuWpM/yXUU2gPXCkH5TUwbQps6OTQAS5Chj6zGDoNOqtr5fOi/jml/9LWvSQvLfd3zWYFzii7kMtlMp/fvHJsy6eXAqDybEmEil9wg4CrsWBQCSRCURqaMx8Fw/T2Kk3mFWrVmVmZmr6ur3dHQx34629S7jjwMUeYd+6ZUnrliUNc/Zzy+Ffv8Lb64FOHeZM80en6eg0HQCg7ApBTARKsCaOSCgoyskUdt7wcGQvnulBIhqvyutdrCxBLDN2EBNoaQLsPA0PLzLQ8EQiYc3SpJ7eImdLquTT188nRGBAACLVySM0LGYe3eLuCqWi3q4zh37iM1QL/F1WRgfQSSSlUo3hGMPi9vp3HYZdufZn/mmVg3swmUxRKeUKmUSllJGIRI1GFR6X6u5j5Bbdrq6ujY2N0xfO6OhqcbDj6338wpK6w6cKLJkWD62czeOyRvQcMgmeXgqf7YS31o+wRyGCIIi+oATLsDQadU15YW15rlYp4TIJ4QGuVmGjmzmaCEQiYBNVecsUuNuDRmvQySO+NZdvzQUc5/M47vNuTgG3tXdk7/1IqaW6eE9jcWykIkGvoFkhk9AI0kUJATQadclfT6f/7Y4LiUiMjfAFgB6hGMdwGpVCpbJpND4A4Dh+Pn9/r6AlIn6hgV7OCPn4+AiEUmuCavhTR0yhVO88lFNR0xIX4ffP51eQSKP8WOJgDavmwOaD8NTS4U9GEATRH5RgGYRMKsk/86ekt5kCKh83/oI4JzLJ1dhB3Vt9O4SZwEzlRHpwIfzfbnhzrWGvQiAAprv1naMD39GBDwDtXa1qWQOXQQ4L51KpNvd+/iCsre4uA0EgEGbGBp7OyWtz8XV08Rp/1GO2YsWK119+Oua52XoZraahY/eRS1KZcs3ShIdWjmNMH2c4UwSdQrCz0ktgCIIgI4ESLD1TKuRnDv+EqwQzIjw54WZS5FAsgxHOuUwaNAp4OEB1M/i6TPzFHWz1X9k1Icr/TP5xRxdjFu9ls9ldHW1ctuV4BsEwPPtSyYnzxS4O/OcfWsRi0vUQ2epk2Hocnl2mh6EQBEFGBiVY+tTd1Xpq738XzQ5hs8yqyKGrLdS1As90F1AbxJIZ8OlOeHs9jHbWaVQmqgoKjUqRi9p0Oi2JZLR/1DiOB3ja5hVVj61tTnuXcPv+C70i6eKUyE3jK1R2N0sGaDGQyIBtiv0cEQSZlFCCpTddHU3nDn6TkRplQqvXRygxFL7eN+bWMebKggYrZsKmP4DNgPnR4G2YAk48S2gRgPPo5gHHZkaE++lDP8+7z2jl5Wori1YsjNifdWVUCZZOhx0/d+18frmDrdUDK2bZWLMNEtz9c2DXGXgszSCDIwiC/I25pQKmqq2p5vzBb5fPjzS/7AoAKFM1zw50hzfXwgML4MJ1OHzJIJdYOxc2HwLNRDSEs7OxYuBdN8quTMC1BlVeeCokwJ1AIKjUI+rP0trR+9+fjr75yXYalfzxG2tfeCTVUNkVANjzQNgHKtQ4BkGQCTJVf7Pq1aXsvX3tJcsWRBLNdCt4txisR9dBb1JhWcBDC+GXY1BSByGew58/KlQK+LmAQAyOE9FROyHK/8CJ/TQ609UrcAIuN5BcJiFqJSQiMS15+pFThcsXxd7rTJ0OO5NbeuFyBZvFeGDFLD5vXGu2RmH5TNh3DtakTNDlEASZ2lCCNS5KhezoH1+EeHPik4xchWhcmjonZg7LpD2wAD76Xf8J1tlrIJROTHbVb8ncaScv7GqsDUiYu5JAGOR+antLXdX1HGFXC51BVysUZAoF02q0Wi2VRsOAgGE4iUxhsfkh0XM5XGsyZUQlOnEcO/LHF2lJ/gAQGep1IOvyoAlWSWXT/uOX1RrN4pTIf720apyvdNS8HGHXadBhhl11hyAIAgAowRqPlvrKS8d/WTQ7mMU0836qQR7w3UFInm7sOIyKSIAIX7hSCVH6W4u2/STQKPDchG5eIxAI85JCmloEB395j0hlEohUBotLJJKkYgGuUxIwtZ21RbinAzdkqML9InHf9bM/KFQajRZT6UiuvjER8fPvtXwex/GD2z5LCLNnWNzc8cexZHb39t26NSWSyPYezatp6PB0s3v58cVMvdbQH53UODieD6lGbf2JIMjUgBKssSu8eCAjNdKM2vHeE40CmA7tsYIF0fDZTv0kWDgOX/8JkX4QH6yH0UbP1dnG9a+7knKFUqfVWVq6j/zpXI5lUuztScbG1obDWzfS2Y6xyRlcqztudmq1miN//DfSj+1of/su3arF8Xszcx9bnXImtzS/qIZCJmWkxT26OnlcL0kvwrzh8CWUYCEIMgFQgjVGOI6DVjYZsqt+afFwrhgWxxs7DqMiEMDKErIuw/zocY2j1cGnOyF9BgS56yew8bl1Y2nM3Jzs3JzsZDJF7vFvZWoyhc62c/Gl0Vkt9ddlvS2J0z1sbe6o4SnolWzff6G1o3fh7GlvT+wNvOHFB0NOCcww5zl9BEHMAUqwxqilocrFbqIW504ADwc4WWDsIEzAo2mQUwIbf4FVcyDAbYyDfPoHrJ0LrnZ6jcz4mEyLlIRgANDqdJ1d9SqZenaYDY12u91QU2v3n8fzWzt6Q/xdVy9JSJ4R4uflaLx472H2NPhwG0qwEAQxNJRgjVFxXmZKpLOxo9AfChmEfcYOwjTMCIGYQNh9Bg5fgrUp4DTK5f/bTkBi6OTLrgYik0hODrf/WnpF0j+P5dc0dDjaW627L6l/6ZVEqvjfb1lvPG16HQAJBAjygNI6CNb3hgYEQZABUII1Fj2CNiouotNNuL3gGKTFw/eH4Ml0Y8dhAsgkWJMCChXsOAUiKaxJAYeRbQPMvgo2XEgINXB8JkEkkR06WVBZ02rL52SkxjnZ8wY+ymZZCMVSHMdNcRo9fQZ8vgslWAiCGBRKsEatR9B2eu9/ly2IMHYg+hbuDRgG//oVXsgAztRe7d7PggaPpIJMCZ9sh9fXwkia4l27Ac+vMHxkxiTukx88caXiRguXw1wyL2rD8pn3OjMxOuBSYdXY2uYYFokIDtbQ2Aluk/lGI4IgxoUSrNHpEbSe3vvlsgURZPJk/KuL8AVvJ/hkB7y1fkT5xFTApMODi+DIJVg1Z5gzL1cAjQpk0oSENdHkCtXpnJLyGy1EAjE1OWKIvOqWBTPDP/hqrykmWACwYib87wC8POG1uBAEmTImY5ZgMB0tdRePfr9iYSRxEhcqZDMhKQwuXh/vTrrJxNMBdp0e6gQch42/QnwQPLlkomKaIEKx7MjpwvLqZg6buThl+uKUyJE/l0wm9bfNoVEphotwjCxowKBDtxj4U7iHAYIghoQSrJFSyKXnD3+XkRptimtK9OhMETR2op64d/N1gfIGCHQf/NEL12HONJgZPqEhGZKgR3LsbFF5dQvb0mL+zPD1y5LGNs6wbXOMaXUybD8Jz9xn7DgQBJmcUII1Uqf2b1k4M3iSZ1cAcKUSXltt7CBMT2ocfHfgngnWpVJ4fc2ExmMYdU2dmdlFLe09Tva8pfOjRzIPOLQh2uYYH5cFag1IFcAy804MCIKYJJRgjUhLQxWPobS0NM+l3xgOXUJo6YKmLuiRgBULeGywZgOfCzxLsLizb4mZ9qs2NDoVMBxUGqANNtuFA5ht5q3TYXlF1WculSmUaj8vxzVLE3hclh7Hv6ttjmm5Pxn2nIGHFhk7DgRBJiGUYI1I4YX96TOH6t1murQ6eOdHCPUCF1uI8AUrS+iTQ5cQusVQ3QI9ElAob5+MYdDUabxYTduiWMjMg/sSB3nI0wEqm8DfnMp2yOSq7EslJZVNKrUm2M/1hUdSWYbZ1rBycdyeo7lPrZ9niMHHy8EaOoWg0QIF/SREEETP0I+VESHoFOY6OXi+GJbPvKO/HocJzqMsnokAQIAb7D8/eIK1JAG+3mcWCdatScD+xVVpydMN/cZ2c7JpahUY9BLjsiwJ9l+AlbONHQeCIJONcRIskUh09epVjUYzb948Hx9TvzMkEfWwmWa4916tgdwyyLoMHz1h7FAmC08nqGkFb6e7j9OpYMmE1m5w4hsjrGFIpIrsnJLCkjoMw/29ne5PnzHBE3be7g5VtW2m2DYHAHxdYPcZwHA0OY4giH4ZJ8Hicrlz5sxZunTpuXPn9u3bp1Qqg4KC5s6dy+VyjRLP0GoqCrxdRlbI24g0WjiUAwoVWHNAIILOXqBSIC4I/vM4+s2hN+kz4Mcj8PzyQR5amwK/HBv8ISMpq24+dqaou7ePSiUnxQS890IG2Ug1ujLS4ky0bU6/+dFw4gosQHVJEATRJ2NOEdra2mZkZAAAhmGFhYWbN2+WSCRsNnvmzJmRkZGmU8mzrbEiPNYkP3wP9MdpCPcGex70SGC6L9haGTugyYhBA4128CU7lgxQqY0R0x2a23pO55TcqG8nEgkRwZ6PrUnhWDKMHRSwWRYiscxE2+YAQJQ/vL8VJVgIguiXSSQxRCIxKioqKioKACQSyfnz5//9739rtVobG5vZs2eHhIQY9+cyrlGYQWVRuQo8HYFlgVIrw1oYA8cvw+L4QR4iGudN0tUtPpNbVlrVhOO4q5PNnPjgBzNmGSWSISTGBOQUVCVEmWRVdwCID4K8cogNNHYcCIJMHiaRYA3EZrPT0tLS0tIAQCAQnD17du/evTiOOzk5zZkzx9fXd4LjUSnloJNP8EXHIikUzl2D1DhjxzHZBbrDwYuDJ1hqzYRFIe6Tn88vL7heq9NhtnzO7LjglWlxJnp/CAAA5ieFvf/lXtNNsJKnw0e/owQLQRA9MrkEayAbG5uMjIz+acSWlpbs7Oxt27YRCARbW9ukpKTg4GCi4e8ZFF46Fh3iYuir6IFEDgzUPXBCeDhCfTt4ONxxMK8cogMMetnObvHFyxXXKxsxDOdYMpJiAt/9RwbJ9O+tAgBA//IvhVJtQacaO5bBEAjg5wpl9RDkYexQEASZJEw6wRrI2dl5w4YN/V93dXXl5+cfPnxYo9FQKJSYmJjExEQajTb0CGNj7+RZWlRiZ8szxOD6dLkCnppsjfBM1OJ4+PEI/GPFHQezC+GNdXq/VFunMKeg8kZ9u1qjZdBpyQkh9y2IIZrnroX0uZGZ2VdNtKo7ACxJgM93oQQLQRB9MZsEayBbW9vFixcvXrwYAMRi8cWLFzdt2tSfbIWGhsbGxtrZ2enrWp5+0+oqr4rEfVyOSZaivsXPBb7ZD0+kA8MgiSZyG5MOag2oNXCrh3FtG3g46mW3pkqtqZsAqQAAD6VJREFUuVpSn3/thlAsxTDcw8U2ISogY1LM/Jp02xwAIJPA1goaO8FNbz89EASZyswywRqIw+GkpqampqYCgE6nq6yszMrKqqurAwAejxcREREVFTXOm1vxKRnn93+2YGaofiI2kPnREOYN3x+Al1YZO5QpYFEcHMuHJQk3v915Gl65f8yDtXUKC0tqi8sbpTIlnU6ZHuK57r4kE+0tMz5ctgm3zQGAlbNh80H0LwhBEL0w+wRrIBKJFBQUFBQU1P9tV1dXXl7epk2b1Go1gUDw8fGJjIz08/Mb7cotBpOt1pnwShexDAqroE8O7b3gbGvsaKaGIHc4dBGWJIBEBt/uh/lRg/covIfu3r6C67VFZfVyhQoAXB35cdN9U+dMN9O5v5FbmRa/+8ilpzfMN3Yg98CkA50GPRKwZhs7FARBzN6kSrDuYmtrm56enp6e3v9tW1tbYWFhZmamVqtVKpUeHh7Tp08PCAgYNt+SyyR0Mm74eMfk8CWoaIT5UeDuAIlhYLL3BiYfT0fYfhKauuDJJWA1zF+7RKq4XtFYWFLX3ikEAB6XFR/p9/xDi5hTbD7X1Ynf3NZt7CiGtDoZdmaj5YwIgozfZE6w7uLo6OjoeLNeaP9kYmFh4e7duwEAx3E3N7fw8PCgoCA6/e69eEW5J0L9Ta/QaH07/JYF86LgtdXGDmVK6hFDYyd88uSgD9Y3dxWXN5RVt6g1GhwHLps5PcTz4ZWzLVkWExymqfHxMOG2OQBgZQlyJciUYJjW1wiCTB1TKMEa6K7JRABobGwsLi7OyspSqVQ4jltaWoaFhQUGBjo6OrbWFs1YNM2I0d6m0kB+OVyrAbkSXO3gjbWjmplC9Ob7QxAdAE/f1/+dVKasqGm5XtHU2Cror0Xl7mwbFui2cPY0GhX9B7rDilTTbpsDACtnw56z8OACY8eBIIh5M8MES6eGulPgs0i/o7q5ubm5ud2aT5RIJKWlpceOHTt/+rCNJVZWWW3FYQX5ugT6ODvZG6NkQ307/HkeiESID4KnlgzSqgWZKDK5qoJCKtt3vuFCiQ7DCARgWtCD/FySE0LcnW2MHZ2pM/W2OQDgYgvt3YM3REIQBBkxc/sJolOJKs9UZP43+qV5JJIBg2ez2fHx8UySLNQ+LibcBwCEYllZdfOR04Vtnb0AQCQQLehUHw8HX08Hb3d7w96o6BTCH6fgpVVgmkUaJ7WW9p7q+vbqurZOgRjDMQBgWtADfJwSler1/q7E5OnGDtD8mHrbHABYmgiHL8GyJGPHgSCIGTObBKvt4i/SKz8D4FJLj0ZGSKzha7jnn9mvE1fET7/ZnMeKw0yI8h/4W0GuUFXXtZdVNx8+VahUqfs/lNvw2F5u9p6udu4uNlS9fALWYfC//fDGWpRdGVp7l7C+uauusbO+uUur0xEJRABwtLPy9XRcOj/a3oZ7x9kpkfDLMcgtg7igwYdD7sHU2+YAQIAb/HkecBxM9jYbgiAmzzwSLEyrluZt9l31ikohr805lujOJRAMm2CdOviTLUMcOn2o1ocMC1p4kHt4kPvAg4IeSW1jR8H12n3H8lR/NaejUshuTjYerrbuzrb2NtzR7cbfcgjWzgWLqbXdzKAkUkVTq6Cuqau+uUsolt467mBr5elqFzfd7/70Gf2tXYbx0EL4ZAd4OoIdarA9CqbeNqffnAjIvgroDiWCIGNlHglWd1dbrYYH+74h0S253nMck18w6OUuZO1wZEkCfV3H8Fwba7aNNTs24o7MTK3RNrV21zV1Hj5V0CkQa3U6AOhPs/hWbDdnvosD38meZ/P36ju/HANfF/A1djNEpruwT23FZQNAdEKqlOjCsKBdL68LD/G9Udfow1cYObzBKJTq5raelo6e5rbuptZurU5HIBAwDAcALpvp6sT3dLVNigngspnjusw/VsAnO+C9B/US89Rh6m1zACAuCD7YihIsBEHGzNQTLI1c3PDTCiKDP/fVg2TyRGzIunLhMFPXFhjorscxqRSyt7u9t7v93x/q7Ba3tPc0tHSdv1wuFMm0Oh2FTNZotWSZknDthn1UgIOLjX1xjR2fa21laayySe9/c7Snp/f999/fuXNnW1tbXVufm5vb3r0H77///pKSstdWe058SFqtrkck7e6VtHcJ27tEnQKRuE9+86+ORNJhGJNBc7TjuTnxE6MDnB2s9TNd+3d0KqRMh5MFMDfSIONPUqbeNqdfpD8UVEKkCU9lIghiwkw9wbpwbGtY1HxB/mES6AAMnmDlnt5LkNVETfM29IUAAPZfgI5eO08HOyZ9OpMOHo7QK4EuEUjlAAAeDtpX7+/qU7R3Cdu7hKVVzT3Cvj7ZzXtF/cuDcMCJBKK1FYvLZnLYDC6bybFk9H/N1mu9pVdefvmxx59QKBRCoTAlJcXd3Z3Hs6qqqsrPz9fjVQBApdaIJXKRRC7uk4kkcpFEJhTLxBK5VD7IC+fzLG35HHsbbuw0H0c7ntGKds4Igfd+geTpeulFOHWYetscAJgfDR/9jhIsBEHGxqQTrOL8k0yq3NrJu1uHEcgGr/t35uiv1pSeUENkVzoMqprA1Q4G5j11bfBEOjR3gVQBZBJgGLjZgT3v1nIrMoAjg+445PoenQ7rFUnFfXKRRCaSyDoEIpFYJu6TS6RyACAQCBQyWaFUUchkEomoVKmpFAqBACq1xpJlQSGTWUw6AFgy6WQyiUwiWbLoAMBi0CkD7vcQCLDj1Huenp4ajYZGo507dy4hIQFwHACee+655cuXF0YzBoYkkshwHFeptf19YCR9Ch2GaTRaqVypVGruCoNKoQCAWqMhkYhEApFGo3AsGVw2g2PJ4HKYjnZWXDbTisNkmPgStMVxkHUZFsYYOw5zsjItfm9m7pPr5hk7kHsjEsDbCaqawG8sqwUQBJniTDfBaqq+KqjLSUkIbm4V9IU/a9Br6XTaQ79/HuFr6ebspv/Rsy7DlUqY7gfnr4NMARQyzAiGjl4IcAOWBQSM64okErF/1ddon6hSa+QKNY7jIokMABRKtVKlAQCRRCaVKwFALJFj+M0GQZ988jGGA4VCefHFF7VaLYFAwHDslVdeAYCzZ8/u+f7l/tNYDDqFQgIApgXdikMmEgkcSwYAWNCpdBqVTCJO2jrmkf7wr19RgjUqrk78xhaBsaMYzvKZ8MVueBUlWAiCjJqJJlgahUR18LHkVW8AQO61xuWPPWagC2EYdvn8odYbl2fFeFlbcfQ5dHsPyJWw5yzEBsE7G24fV6ggtwzYTEgM1eflRolGpfTX7uJxWcOfLcgmEW++VX76/cQTa1OIOMDNShlYRmqc4eI0G1H+UFwDYRMyuTxZmHrbHAAgk8CaA2094Ght7FAQBDEzppVg4Tgm6hXImwqkJ/7JcPZpzDtRK4SImU8aoqZoj6Dt8tk/VZKOiEDH2AUR+hy6uAYOXAR/V7BkwOPpdzdgtqDBHL1ebgJo+2592d5aDxqxEWMxUSnT4ftDKMEaFTNomwMAK2fDj0fhhRXGjgNBEDNjWglWn1iYvWmxL63Hks3RcsNpVs7R0z0tvfS8U7qk8MyN4nM8FnFmuCfDYpCdfWPXLYafjoKPM7z7ACpROLVQKaDRGjsIM2MGbXMAgGUBZCKIpDCSe70IgiB/Ma0Ei821vu+jPFHTdZ57uCHG7xP3Zu391t+NtWxusJ6HFohgZzbgODxzH0zWlUbI0Ew4STBZZtA2BwDuT4Zd2fBEurHjQBDEnJhWggUARCLRQNlVRfGlqoIjaTOD6TS91o8WSeGXTLCgw4b5wBlf1UrErNGooFSjjkajYgZtcwCAzwGpAhQq1FABQZCRM7kEyxCUCtmFrD8YeNfSefpe/HTkEpTWw1NLUWqFgIM1dPTCYOVkkXsxj7Y5AJAxC/adA1MuKvF3nUK4XA5Wpp28IsjkNWkTLI1G3XCjpLY8Xy3vpRDUUaFufN5QjQVH7WQBXK6AuZHwRrw+h0XMlyMfWgUowRotM2ibAwCudtDcBVodjKRJpdFptLAzGzp7YZoPsEddwwVBEL0w1wSru6v14vHfiLiKAESMQCKS6QQAwHWA6wAwXKcjEzXuTlazw+1pNFuDRHC1Gt5eb5CRETMV7AG/n4QZIcaOw8yYR9scAEiLhyO5sDTB2HEMCcchMw+KbsADC8DFFraeM3ZACDJ1mWWCJRH1ZO/7avmi6aSbpZgmXJcQnG2Mc2nEZLEsQGaKfa9NnxWHZeptcwAgxBMOXIAlM0x3g/C1GjhwARbG3FF4D0EQIzFSgjIOOad2n93/f0vnhRstuwKA2jbwcDDa1RGTRSKBVmfsIMxPRmrcnqO5xo5iBGZPg3PFxg5iMK3d8NF2qGuDdx+EmEBjR4MgCIDZJVjXr2Rb6prSU6ZRqQZv/DyUujbwdjJmAIhpCvWE4lpjB2F+XJ34Ta0m3zYHABJC4eJ1Ywdxpz45fP0nHLkEL6yAZUmo4ziCmA5zSrA0alV10cnQQHdjBwLQJQQbrrGDQExPdAAUVBo7CLPU3zbH2FGMQLg3FN0wdhAAAKDVwfaTsPkQ3D8HnkhHJSQQxNQQ8L8a+k6kU6dOffbZZzY2o1vGhGNaTCsnEU1gF09XD9hO0d5kHV099lP1tY9IZzfY8Y0dhPnRYVhPj8jWhmfsQIaFQ2eP8f8Tq9XQLQIeB+hD5VWdAuETTz27fPnyCYsLQZBbjJNgAUBFRYVRrouMmUajoVAoarW6u7tbKpWyWCxHRxNu04uYCaVSSafT0bvLQPz8/IhGXK6KIFOY0RIsxLxs3ry5ra3tlVde2b59e2lpaUZGBp/PDwoKMnZciHn77LPPxGKxXC5nsVgvv/zyjh07rl+/vmrVKvTuQhDE3KFPNsiICIXClJSUzs7OpUuX0mi08vJyiURi7KAQs7d69WqdTkej0VJSUtra2pYuXWphYYHeXQiCTAIowUJGhEajnTt3zsHBwd7enkgk6nQ6gcActn0hpu2ll15ycHBQq9Xnzp1zdnZG7y4EQSYNNEWIjJRWqyWTzbIyLWL60LsLQZBJBiVYCIIgCIIgeoamCBEEQRAEQfQMJVgIgiAIgiB6hhIsBEEQBEEQPUMJFoIgCIIgiJ6hBAtBEARBEETPUIKFIAiCIAiiZyjBQhAEQRAE0TOUYCEIgiAIgugZSrAQBEEQBEH0DCVYCIIgCIIgeoYSLARBEARBED1DCRaCIAiCIIieoQQLQRAEQRBEz1CChSAIgiAIomcowUIQBEEQBNEzlGAhCIIgCILoGUqwEARBEARB9AwlWAiCIAiCIHqGEiwEQRAEQRA9QwkWgiAIgiCInqEEC0EQBEEQRM9QgoUgCIIgCKJn/w/4agsdeWJE8wAAAABJRU5ErkJggg==\n",
  212        "text/plain": [
  213         "<IPython.core.display.Image object>"
  ...
  286      {
  287       "data": {
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\n",
  289        "text/plain": [
  290         "<IPython.core.display.Image object>"
  ...
  341      {
  342       "data": {
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\n",
  344        "text/plain": [
  345         "<IPython.core.display.Image object>"
  ...
  363      {
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\n",
  366        "text/plain": [
  367         "<IPython.core.display.Image object>"
  ...
  385      {
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\n",
  388        "text/plain": [
  389         "<IPython.core.display.Image object>"
  ...
 1045      {
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\n",
 1048        "text/plain": [
 1049         "<IPython.core.display.Image object>"
 ....
 1056      {
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\n",
 1059        "text/plain": [
 1060         "<IPython.core.display.Image object>"
 ....
 1089      {
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jQirx+dzNa5LVam1tY0dheevZvDpfj67eAXO/UpW5ccPgMTSLbmTbBofDkno4H88qmr92k5WqnnFU/d2OIunS1Ki8ghpXsQRIS0SI9L1P9q5ePNTbKWlOoFKtIUmyrLpVIBBoeqp2fPq/A329bc0Nj69YkLa/AP73qcFB+CsX2g9f1sfLbUCjv081L0wOPXt8W+aj/2/w08tn93Q1Fjg58DMXRBIE4Sd1e/EJZ5ypwfq0ejh8GV5/1Np1IISsD38iU8loMp/LLetS6NQqlcTdKyIuk83lJrj7Dh9AkhYaMXoObovZYiD5XJ7Ngy12xqkpu9rX3Q50hpNneEVtS2igl8FoIgjaYCx5/vGM4cXgaFq9sLkLwnw2rkoa3HLw1NW+HsPzcyO96zrAYILufnAa3dspKtRL4iy6T8Vz2CyLQTX8aV+vbMn88JG9xDBdWV+/Gt77Hl5aBza4qiBCCAMWpXLyy7Rg7yDoDvb2qG9Xl14/Q1os7j6hkXEZgweYzWY6beixLEmSe45cXL88ubymJWTOwttfFVFAp9VcOb9b6OAia601GEyBaREAIHESlBfmCmw4AHDTUrsf7gM/NziUC1GB4OUMdNrKlAjgxECTDL4/C69suDVdAYCn+31+MET+GM09fGe1tBf6Sie0GAt6QHachZfWjT2Be78arldBSgSMGN2CEHq4YR8sKiXFBEf5Mpemzp4T4b9hyaxlie7Lkz0ZyrLD3/7DZDICAIPBVGrJwbVNrhXX640kANS1KvyCo6xc+kOtq6N53xdvhvna05j89rZ2gsHi87gA4Ct1lbfX9it1Nx3d0gV2NrB+PvzqcXBzhGYZVLfAO9+AQjkYtuC+NVONw/JjwBJLvLoVauuUgW4nPgR2nwezBQDgyCX4y7dD2y+Vwgd7wGSG/ResWB1C6AHDgEUlNovp6T56/pvwIM/4UOGh7e8OLuaamLFl34krMrniVNbVOeFSACDpPEpGnKExkST533/+MtjHvqhWIW+tTE2KtOHS7EUCAKDRCK2mf+SUGfDuDjhzDTYvAgCgERDuAxlzYVkC/HIjfHkMvj8H82dProy8guqahvZ7eSEcNl2nHQpVZouZRsP3zBQT4QfzZsObX4DeCNerYXBB7qOXoVUOv9sChTU4dwNCMwoGrAfB0UEYFSA6tf9TAHDzCsjc/FZZGzN0dkJHt6qlTebkipM+30cEQbz4m0/oTvHJGZsUff2XCyt9RyxLkhTpkTRnxAT6DDpsXTqqD01bZ3ejQgUWCzTLYE7Q5Mpgsxl7DucMhuzJMRjNLNbQ4P+GyutSd8dJXwrdLyFSWDMP3vwCtmSA3gg7z4FCCRsWwNnrEOlvtbZPhJA1YMB6QKQeTt4O+gPfvKvTqrk8m9TlT656/FW/mA21PYI5ycusXd1Djm8jcJJ4Xjj2eVSol09wLGtEk5XUw3l4OSPoGQAB/9bTz+aW9fUPAIMO9Ml/v0SG+tBo9K7uvklfwUQyaHQ6AFgsltaaQiecU3Rqig6Avz4P3hL4f+tB6gKPL4I+FVyvhkUx1q4MIfRAYSf3Mew5lhfkIwkL8qL2sgE+rhIn9emdfwGWKDIh010a6OEd5OE9yRYRNEFms6kw73RT6Zml8yMcHYR7j187X94cEeLFYNzy5q9vB3/3UdtO5RTZ2Hs2tPXO7hkAo3kSBWi0uuzL5RnzZq/JTBzsnzMJSqWaKxxqeKurLAz1w3Q15TkKhzq878mCp5ZauxqE0IOGLVijFZU3WWg2jW299+PifD4vOcY3LkSw/+s/9ilw8cH7y6DXKXq6CvNON9w4mpka7eggBIA1i6PTkmfRiLHe+SFSKK4btY1GIzy8QwiCBmHe4DuZUXscNrtDrnjvkwNcNst1sg+JLhfWx6UOTaUmsHNUa0dP9oGmLp0BsJMlQjMPBqzRmjv6Njz7thnYVF1QpzeQJLnryOVDZwq++v70pQptZRd/1Zbf2ImsMN2zQa8zGu7XZJhThEY9kJ91UKfVHN/5fyd2vjcncYlHaMahrNp2WS8AEAQRGeZHG/NhH58Dt8wUqjJwxK5SnVZp3nEW7CYzVxmNRjz1SJpU6nGlqH4SpwOARqvTmrkC4dCkpmwuT2/AgDV9bF0K205YuwiE0IP28Dwi/GZvVuKcIJ8R/Zfvik5naGnvkvWoaBwHAOCLXAeUaoEtX28wskdM53i3SJI8fKbAYCKFju7LHn1loK9HYOcw6avdo5rya/mn/yvxiU5bvtVaNdxvN/JOK/vlBZfP5GXtj5u/olfeRpKWG5cOOjiKdx++8PIzK8c5n8kAk3l4sqIBpZovdBTai/uUhrZ3nvU8dWXSha1aFDW5cX8kSR45V7Js82+Gt7Q1Vro6jTXZEpqa+BxwtofvzkC4DwCAjyuuVIjQTDCdAta2PVmJ0UG+3jdFKJPJNNiZhsViXynrkjiLuJy7aHwyWywnc0qMYMu1EXr4xAYGeTg5uwNA4sJHD339vwviAj768uDzW5bJevoDfdx43In+WDQaTdsP5NrbO9BYtmHxa4IjEga3WytdWczmQ9+9n3fhVExsQkRMulVqeDDYXJvj+z4JnpUYEBZDoxEq5cCeT3+dEhce4u82oJpAd7fMONh1HjYOfYlaOnq62mRVxXl0wuwZ5g3nC8FogknNmc6c1AyTJrP5+Lmi2IVbeHzB8MbGqoKMuEn+IYGsY9NCqO+AyiYgSfj2NPzlJ9YuCCF0303dgGU0mj7+5mR68qxgf4/BLQI7e7nZvezM1bSEYD6PAwAkSb7zwbcvPLHybF6tNCjJZDYeP5e/Zmn8BG9RWNbU1KlLXPKck7PHqF1cns2iDb8oL8x54Vf/rCnJ8wqYd+TM9/7uXEd7gcjOls1m3e73pdFkPn2x3GAiFix7RhowVaa9aa4v12mUb3+wn8MdY5Tcw6Rb1rRmSdLV4vqA0Bf3fflmwfWCV19YL3YUAYDAhjf++QEesDdn+LPQAE+lStfbmPvUYwsBAHxd4UYtxNz3cQl6g1GvN5RVt7b3mlMyXxj1/nR2921orvf3xmncpxUfCfhIAAC6+6G7f4wJ30kSyhvBZIYIvwdfHUKIclM3YOUV1q558o2G6qKKmpbBjOVkx/YLiQmfs+Dcoc+dbAxxUf4EQXC5trklCls7Z3nT9YggSdKSuIlcnCTJ3GtVZq7Xqic33+4YkYNLYvoGAJC4+QCA57NvNdVVyOWtdfVdGpXcqO2nkXoCzCIhn0EnvD0cO+X9nXKlQmVYtO5lkcPUamCQ+odL/cOtXcWD0NPZFB3nllvYuO3DNxzsWLNmheVeq12VMecupnI1GEd+Fhc1YpasJbHw5+3gKARvyZ2v0drRXVLVmjI3mM+7u85814rrWmQ6rsCJLxD5Rj0S7znG79roxMzjuz/qkFXERvndy/NrZB0eYmjoGB2wBtTw1+8gMRwMJrhRC08stlJxCCHKTN2AJXV3PLnnX0/94oPD3/2jtrnETDBZHAGXZ8O3FS7f9Ivq0iv7z5w06JQxyZltDaUrFgQJbEe3QjU0yxztbW1vabdo7+y5UNAYl7bJyy9s4vUQBE3qFyr1Cx21va+3S6/X1VcVOHnGzJsXyGbjOq9Wo1YNdLY1ZucNEKQpPtIz/0Z9kJ/rxas1xRWNESHeE7pEYQ3Mvn37AUHA/2yEf+wCNhM0enARweaMMVeXK61u61OZ+wdUEwxYZoultLK5qrE3MnHVnMy5dz6YIIilG37e1dF0OmuvSdvr7mwbHe6DiwFMG4U18PK60Vt2Z8EvN4KQDwBwPB++OgZbcWYHhKa3qRuwPFwdhXZ2ALB846u37g0ImxsQNnegr+fkjj+uz4ih0ekqtdaGf1O4yblSOTdCGuw/NJ2VXm+gM+jZeRU0G+n6Z9+h0agZQWlnLwYAZ4knJVdD96KptmxBrH95Q7ezWOQrdT169gotwN3JwXYoXZ26CiX18MyyoV9jY9Ibx16sdxiDDv/z2NDH9R3wp+0QEwSLYkbNQbp43tDT4V7FQFlNu4PINsTfbXhvr2KgX6np6Fb19BstZgNBECSNFxaTsSEjcuIvVizxWvbYqwDQUF2849C29UvnMCfVOQw9aATc9G7ZnQVGE/xuC3B/yOJLYiGnCA5chFVJVikQIUSJKfQTOSevjMFkJEQHDn7a1NrpHZJ451NsbO1IhvDo+RvdfTq9Tvv84+m7DucmxwR6ujsbTWaOjUNpdXuwv5dSpalr7Kxp19Fo9MSFW1zcfe7/q0EPmk6rqSnL0yqalVoyPtKbyWQsmhet05uDfd0AAOR9UNkMzyyDf+yCTekQMKK9U6mBv+8EAQ94bNDqIWzCbw8fCbz5BFythF9/Cn/5yai5jkiS/P7ghcqapjWPv1JfX9jZVeriZFvX3GsiGXbOviYjh822W77l8Xt/4Xqdys6WTafoDwZ03wltYEADhTVQ0Qj9aogLHWOBy5QIeG+nNYpDCFFmCgUsT1eHvSeuB3i7CAU2TAa9b0Bj7zt6Wu1RaHT6hmffvppzuO/ygdD4zCM51QqlKa+4tbRRZyHo6Suf6e1qP5p7iWcj8vBNX78k6sG8kIePTCYzGAxOTk4cDkelUlksFhsbm6tXr8bGxpaXl4eEhFi7QCgtyLly9jsOh6fSg06n7+hShAW6hwePeCyoN0JJPQj58OYT8NkRKG2ANSlDu05dhWXxQ13XO3rAxf7u7h0TBO3dUNN6U2gDIAgiIdp/ZcbcE1nHnKRR7t4L9XptcqTXYJMnhWpK8pYtmI2PCKcNIR/+vB0WxcDmDDCYwN527MPw/xOhaW4KBSw3iSODDruO5AvsnGz5TILJX7ZwQsO1BCJH/9mpielrbt3lIHb3DxunRwsa1/Hjx8+fP//666/n5OS0t7c7OjpKpdI9e/bI5fKSkpKpELAaqorDgrx8vcQ79l9MTQw3GEasaWO2wMGL8OUxWJ4AAECnwfMr4NRVeG8n0GigM4CX848DAyWTmkeDyYCxVnG2E9q2d3ZLxHaBLpob1/fqjcaKAmFo1Hwbgch1rN7rk+PgIm1t7/Bwc6bqguj+Wjcf1s0f/7DJLwuOEJoSplDAYjIZz25MO57bvHbrr+/qxMDw+MDwiU7NgCZhy5Yt/f39YWFhR44cycjIkEql9vb2tbW1165ds3ZpQ/q7atOi5xiNJhMJfl4uP67fDABaPWTfgG2/gfxy+MPXsCQW5gTBohgIlYKLw72s3zzi9uoxV4m+VlJX16bz8gm8WtqSkRwKAE2tMmV79v6DNT7+4WaTxmy2OHsERScuZTJZt55+Oz3yjv7erorC8yZdP50w87kMd/9gCl4FmjqaZOBuhZUeEEIUmkIBy2K2HDpbnLnxV9YuBI129OjRtLQ0AGCz2dnZ2UlJSYMPpH7+85+vXbvWioXlHP92dsISgdCeL3BoaOnKL2oVCvj0UcP6bLjw9lbYnQXPLYeMuXA4F05/C94SiPKH8kZwFE6y1Wqk28w+6unqTEC3ur+xtLw2xMfZw83Ry91ZpzeYzJawIMfBCXJb2zuObntbGjpvdlzGmNeWy1qyD3/GpJkJGh3obAswWKTS3cVuUawHkzHOM3Q0Xe3JgmeXWbsIhNA9mUIBK+9GddLip2yFd9kDBt1/y5cvH/zglVdeMZlMg+nqtddeA4CsrCxrVWXQ66qKzgnsXWbHprW1tfZ00zz9IpPD+GPMASuyBbUWAIBGwMokWJkETTIorgM2E0rqoaYVfrYGHAS33mKi6LQxHxH6e7v4e7sAQEtr27lLxU+sTwUADps1e0Q/endXJ3dXp0NnckKj5jNZY8zpUFmUmxzp4Sye5CrRaJoxmWFfDgR5jtkmihCaRqwfsE5fKLbhMtt6DA4uPu7e932ObHSPBttdpoKiK2eFNjyJhx8APP3qe4oeWVXRBYvZMsahPQPAufkZnJczeP3QaUmtg798C7HBsCxhkqVw2beuEj3ST5/IHP7YYiFvXZQwZpbn1QuHE9LWwS3mzlt55vs/ZaZiwJoBPrJ5XHQAACAASURBVDkEWgMkhj2A1QIQQvebNYd2D6g02w/k+UavcQxcuvbp3y9Y9tCuQIwoV1WS39ZQ4uIiNhsNdZU32Byeq4evTqNijDkXFJMON2qhXz32tfgc+MPTILSBv+2YZDXhPnDq6gSPvXy96rPvztQ0dI7cKBE7yFsrhz/VaTVf/99r7U01ANAja2MzcUTZzCAWQWwwJMTqbKL6WWGkQ5xBMAdEs/W20c0qMTjGd5H+wMPnwghND9ZpjSBJsrap90q1ccWWXwvwmSC6Syaj4fDODx0dJXwG99juj3hMc21ZmE9QtFHdyWa5AABUNcP+C8BiAJMJJjNYLOAhvtP8ogCQPAsulU6yIH93kPXCO9/Ay+vA5qbZbmvqW6UeLiOnAI0I8apu6imuave/edlyvVZjNpvodAYADPR302iWQzv++fyvPpR4+BTQRIfPFAb7OftJXQGgq7vvcmGTo4ibOCcA0MNkdTL8+VuIiv3wm73Ozs69vb0KheL1l5/evuvYmVMnnn72J2VlZa89hzO8IzQ90N9+++0Hf9eCggIHZ8/1m55lc3BhGXTXcs/uErL1fp72tY0dLCbDw9VR1tGu76vPTJ2t1ugYdDpx+hqsSISMuRAbDPGhkBAGKRNYeLuxA7jsSXbG8nSGWb7w3i7wFIP90BU6ZN0lrbSSsqpAbzGNRtNodc1tchexyGAwBvs4C2xvWsTJ0Y5z4sh+ksYQS6R8G2FEbEZEbDqdTicIIiAs3j9iQatccynvelVtS1OXceWW3yq1kJ+X6+/lTNzywBFNY+5O0NBXbGTX1tbKZLLly5fTwRQ+O6a7q7Wxqc1kMs2LCwG9fIIXyy9q4tq5RURMlVXnEZpRcPZnNM0YjYaelmJXJzuz2WQyk0adys1FRDL4ZrPxwOmiP/5je1VtKyyKgeP5d33pR9Pg4MXJV2ZnA28+AbvOQ2Xz4AY+j8tiMtLWvLT72HWd3nDoTEmX0X3f6WJXsdDd1XHU2c5i0fqlUYbOKyf3/mdwy8i5G2g0WkRM6pqtb656+k9rnvw1jU4Pi54Xnbr1cmHN5AtGU822k/DX78DF3mg0crlcLpebnZ3t4uzk4uJCo9F+/vOfnz9/3tolIoQmaqp0WEZogphMlq04QMe1t1gsUndjYkzAkbM3YudtOHPwCyex03Nblnt7OgMA9Crv+tIMOjAZ8OYX8NstwGLe7dkkSfYOKB1+uQm+OAqXS2HLYoEtX0hvv3T4I6EtW63SGCyErZ3YP/O5U/s+VWcVpSaE+kpdRl0kKty7oVl2+sDnacu30uhjLCM9kryj0f7Ozz3RNLL/Arg5wt+eB0enlyLnm0wmBoNhMpkYhAG0Ha+9+DjQDeePfQeaFmsXihCaEAxYaPpJW761s63h/KHPvV3Ypy+U+EakF10+8vzjaTcdxBwnnYzt5XWwOwvausFbcrenHjqVd62w8g+/2grPLoOqZvjbd/CrTbGR/sMHrFsU1iUvKMk+4y5m23hJdQbDmNfx9nTuH6i/eHpnyuKNd75jQ8WlVWnWn0YfUeBQLpjNkBYNAGDog+7cwR/N+AMaoekLv3/R9KNS9l088i9PF1FtuyZuwdqBvu4bBdfiw11cJY7Qr4ZffQI+ElCoJnl1H1corptEwOJwbQMDf+h1HugJq5Lh3e/h9UeHF4HmcTlST4nUc/wrzw7zOXi6oKLokl9wdGHeqdbqS0wm20wyo+etdXHzrirJq6/IB4vO2/U2y9ihqa+7H3acBaNx6NPIAFgQadWCEEIUw4CFppMeeXvptXOdbU3ujjYGlsfjL24pvnZe23l1TlT48ezSpx+dD9tOwh+eBkfh5O8RHQAF1XAsD5bGTfCMxla5TK6ob+ny8xyxvEmwF2h0sCcb1s+fRBUr0iMravLP7ToucRKuyYgGAJIk8wr2FedoAn2clqd44+rO0xhJwgd74JcbR405RQg9TO5LJ3eVaqjxwGAw6PV6kiQ7Ojo0Go1CoZDL5Waz+c6nIzQmi9l8cvc/LQM1bl5+It/0+Us3A0DWsW/pDOaChOCeHhlpNIHe0GkxK1Wae7rTs8uAzYRdE+1QLOCzr92odhcL0xJCb9pxKPfWGSNNJpPJZBr3mgRBhAR4ZMyLmBUiHd4SHx2QmTrbT+qG6Wp6++YUrEnBdIXQw436Fqze3t4nn3zy0KFDn3zySXt7u7Ozs5ubW0FBgZ+fX2dnp1qtfuuttyi/KZoJrlw8NtDTLnKKW7DwkcEtZw99IfUQMxl0gQ3vhSeWEzQaMBk1jbL9R87a24v8vKVhQR6hAR6TiSNp0fD37yd4rL1I8OLWsVaOm+ULXQr4oSe72WI5dr44O+cSl8tdtigxPNiTx+XcdWFoulProKMHtoy99CRC6KFBfcB6//33Q0JCBtur0tPT3d3dnZ2dq6qqZDIZg8FgsVj4xzeaBJIk92z7v/Sl6xevfX54o7K7JSnab/BjWxseWEiwkMlzg2Nm+aq12s6uvvzCGnlP34KEWZO5JY0AkxluXdlw4hbHwn8OwNxgALBYyNYOeXlVw9OPrzSYTBU17Vq9YX582OQvjqYpPgcMxnt9ayGEpjzqHxEuWbJEpVJpNBo2m52dne3p6cnj8WJiYjQajZOTk1gspvyOaCYw6LVsNjtjzU9GbtTpDdv3XWjp+GHexX3ZEBsMABwOy0EkDA30eurRtEmmKwAgAWj39g3C54DRDPnlAHD83LXPvzkqFPCD/d0igr0eXRGP6er+OZVTJO/ps3YVt+ckArXO2kUghO4v6luwEhISEhISAOCVV14xmUx0Oh0AFixYsGDBAsrvNdVYLBaStAyudoKoxWRxXnzjw1HNn+lrXjx76PP9Ry+ezbnx2gtrobQB1s2n7JYu9tDYCT53PZzwJo8vhM8OQ5hPZnqMv697r+Km9RAbmzuZTLqbxOl2Z9c0dJbWdNDAHOIn8fdxM5rMTGz2uKNrRTW+Xi45udfiovzHP/rB25cDdW3gbD/Owk0Ioenv/s7kzmDMoKhh0Ov+8bstB7/8XdbR/1q7locQjUZz9fAdtbGi6MKCaNfH16WbjAaLhYTZ/nD0MmW3XD8fvjoGrRNdlmRsHmLgc4HNBIAAb0lclN/wngGletfR3O37LpAkebuzexQDbgFJize92UNKt+/L+etHu2RyxT3V87BzEdu///FuIBgajdbatdzim1PgIYbXH7NWB6zB4UcGgwEA9Hp9Y2PjjRs3GhoarFIMQg89XCrnXplMxoLLp77+4DWVUmEjcKiprdf31amUU/jxxEOkt6NOJBIwaMSStFgajYBVSVDfAXKKvvgsJry0FnZnwbXKe7rOI6nwh6/h40Nw+NLIzedyS6LCA37+1NI79EoMD/Qozt2978vfB82KV2nNUbNDnZ1E91TMw85d4vDma1sc7IXtsqn3PdjZc+uo0gdmx44dn3766Z/+9Kd33nlHo9F89dVX//znP/v7+zWaextyixC6DQxY96q2vCDryBfz5khzT34rsuOtXhI/J1x68eS31q5rRlCqNH/9155v92d1dv+wME50wPBSgBRwsoNX1sOZ66Y2+VffnzIax59eYQxSF/jtFtiUDrWtoPtx9vZVi+PSk8LvPJCQz+c+s2np6kWzCk//R6NScNn4DTu+vMLari55oI+rtQu5WUMH8Kw5aPTgwYMymaytrS09Pb27u3vVqlU0Gq28vHxgYMCKVSH0EMOf15PXp5Dnntl99tAXCXMjpJ4urU3VRguruaPPQSQ0KjtMxrEXQkFUkctaLWb9huXJv3tlY8a8iKGt+eWD/dyp0t7ZeyEhrP6tbwLnLNl17Oqhc6XHs4r6B+5ymngmA2x54OkMxXUTP8lkNre2d126VslmMRckhL7y3Orq2pbc2zenFVc0F5TM9Mc9Wp3+/MXC2bNnEbQpNlr529Pw7FhzeTwoKSkpfD6fxWJlZ2c7OTm5uLgQBGE2m+Xye3sIjhC6jRnUR4pCJpMx9/TOPkWvUlau1qgHF+V9+pEF732yP2heFACE+DmXXM+KjFtk7UofZucP/PuRzGj2yFWZSRLMlkms03yrptYuB5HttdJGC9t9VvrzjtzIALBL+Nl7AKDXaY5sf2dtxt0vbLJ2Hnx1HC4WA4sJTy4Zd57J7LxyDenoF5K2+9j+dYvn0Oi0ZzZlvPvRzrkRfkzmGN+58t6BPr2NY6vc0/22veYfelmXyqMjgpamTr1lZ/gcSt6Zk/bTn/70xwWkGQwAePfdd61YD0IPPWzBmox+RXdTVX5vW+n8+PCkuSEOQj4AsFjMZzYuig73BQAHkU3ptSwrV/lQqyy57CkRsEf9xiqphzCfe7/47qN5l0u6csvVAkl06vKtjs5usGIF5OYO7mVzeEIn7wGl+s4XGdvWJfDqI7BxIfz7wLjHdvWo56Qso9HoFgs5uKChwWBctTSxuKKhvrGtrrGtpq6lrUM+3Ec+JTZYp+xouH2vfKPJfPj01cmUPU20tHVdK6mJDpdau5DbMBjHP+Z+GsxVM2rsEUJWhAFrMhycJMs3/5bJ4lY2dJEk0TegapcpAMDJwW6ww7LAhs/jDbVPVBZf+vQvz3W01Q9+qtWoNGrlmJfValTtzXVm86Q6+swwrfUVjc2do7fmlkAiBZNLsdi8R597O2PN81GJS4c2MRjw618PHzAnecXFa1WTv4G9LdBpJpPp8x2ndh6+1KPoH/OolQtnN1/fYZRdfGTZXBqNAIDaRtm+41fs/Ja2GzzbdO7FzdCsctl3omAwYzEZ9E0r4+fFhdzutvJuhayfzC+smXzlU1hXT3/2tcZAP+8pOg5gwwL47wlrF4EQenDwT5lJEjk4r376DwBg0OvUqv6q0ktXiq6vXBhFEMSNssYb5Q2L1r0yeGRlwbn1mfFl5Vc1/Yqr2TtFttx+tTlz4+sDAz0St5uaW/Z/9ccAL+HlM+a1T/3WCi9p+tDrNF2t1fGRfqN39KnAlnfv11cpFX0KuZ3o5gdtP0w6qlEre7s7eU5h9U3tPl6T7UlNpzPodEd7UUNL97Wihoz5s289hMflxEYGjNwSHuRpJ+BdubBHr1VKPZwCJeyymiuuPpHF5U0RodJx7+nq4ijiN9Y0dcdGTsk5ou5NXmGdu094kPPUm51hkJsTqKdqbQih+wAD1uTxbQSD/4ocxO5e/hVFuftPHUlPDLaz5XgGxLl6+ikHFAwGk03X2wltegpre9prH102FwDOXCw9sfdjZ4Ghiu0xP/PJiqJcB7G7WOJly+fMifDvvVCsVvbzbYXWfn1TV9bRr5ekBIrsbEfvGGtCKbVa+9bfvly8aH56Yuite2+lUmtVWnJ0uhrhwNd/0qiVcWmPdLU0+njdtKtvQHXxanV4oDtJwrnLlRkpIW4ujmNfRasHgliVESOTK5R383vXw9WxWzFgNttEh/sQBBES4HXgbJkcLBETenGwelGUcQJLTU87SpXGQhf2tFW6hE+93lfDLLed8Awh9PDBgEUNnVY9oJCbCX5ZVSubRbdzCDi17+PWukKCZbd2YQhBEFyGAWDox6u3m8PuY3krn19x5Fxp9vHtbGNLwYVuHt8uyEsEAFw2s7e7o7G2OPf0TjdpcOaGF636yqYiZX+Pre1YbTAsJhiMo7oS7z9xmUZnKNQ0i9lCo4//TLy+SeYXPEZ70rCYlFUdrXV1N47NDvEctau8pi08edON3MNyeadGoz986pqTo2jt0tgxrtI7AIcvQVq0s5No4o+0TCaTRqsP8Hbdc/RSfmFNWkJISXWHUOwjEDmfyL6xIC6IzWbd+Qo0Oo1NHzpmQKUBkhTYTu8pxWsa2gpKG0i6zeonf3Nqx5+tXc5tkCTszYYQqbXrQAg9OBiw7prZbDry/Qfu3mEe3sE0OsNR7AoAX//z9RVps2IXBQGAUqX5ePv2tMRZKavnybr7Bn+BLUr+sYXB11vS0dZEEER0qLvJ1Oft6R834pFNXFTA5et7lMp+V6+AlMUbH/jrmwaYTCadRgOAwrIGqZuTyM4GAKC8EZiMWwdqPb42tS46cPu+bFLXPS8+7M5pxmQ2Hz175X/+/N0djvELnXs9Z8+jy8eITZGh0v0nv0ld+fy1C/sDJUTfgM5BdJv48u4LUNYAXx4d6vjMYUNsCEQHjH3wDzpkivc/2Rk/Nyo1IexiYWtVu7mouJTLa3r8+TdDo+Yf3vOht4QbHT6hbv5Kleajr45GRCdJHXtDAzwmcsrUVNckl8m601evo9HoDPoUayJqk0N5E9S2gkIJC2OsOMsoQujBo7/99tsP/q7Xr18HgOjo6Ad/6wn64IOzb7yx/9y5qn/840x6erBQ+OOIeoIAqV+4xNWTw+G89P8OJMS70whzVj4rIiGVLgpg2gczRcFzEhZ7BMUzRMF2bpHvf9H+7ietSzesZDuGAFsMmhYAMBjJYH9PoS1PJLQZdWs6jebl7phb0LTmiTe4vNF7EQDoDcbKksuXChovX7mRHBfOAoC/fQcqLTy7HMaaFd3eThAd5lNa3ZJX1GgxmTzdbvv4z0KSlTWtbj6zbIX2tzuGIIiGspxAH5dbdzEZjCAfccn1rP7erqS5oW4u9mM8xxwmFsHcYIgPg/gwCPOGknrYnQUOAhDfNgIKBfykueFMFmPH/nMWsz4iPnPVppdMBmVNaX504tKQqPlKHf38+SwamAS2PAb9TqsWsllMNxfHxqam8zlXUhJm0W4/m/wU192rbO1USP1ncfmC9pp8P+kY/y9WcLkMtp+CPjX4u0HKbEiLBrfbPCy+n/KLmrh2bhEREeMfihCiGo4ivK2XX07btm3rSy+lbtuW197e94tf7H7mmW0KheaNNw5weIKjJ+qKSnvpDBaTZfPOn88bDMC3FXbIjE89u+tnLx987ZfHgM49dLT6ynWZjcCGRmeYSPZv3zrVIR8ap71ycfyd754S47fni9/f/1c5zRgN+hv5Z/yCoq4UN9nyWC9uXcnncYBBB4KALRlw+7klbW35y9PnhPs7R8+6UwMPg07fuCqlujh3vEJu21LCZDKSYoLWLh37/7dH0f/Zd6fP5pZU17YUldXXN8sGt2uA1KRGwv88BgU1kHXjDjfm87mhAZ5bH1vsI/VqrLzCZLIXZG5Nytg0uDcwPG7ds+8QjnH7z1T2KsaZodvHy/mRZbGpyXNMJvOdj5zK4qL8X356WcWVoya9zmieMi1Yp65CQhg8kgqh3uNOeIYQeihhwLqt998/s3Hj5z/72Y7Fi0P/8pcT8+YFBAW5fPxxtkZjKCpq/fLL3OBgCQBs3vxlVJRne3u/Xm9qa+t77rlkANi7t6CsrP3LL3NDQyXXrzdrtYbBwyQut2/PuJmzo8DWzuE+vrzpqaGm5NCOD794/xePr0xYvjDK0V4AAEAQIBZBZ++dzxXZ2S6aF8XlsO98WGd3n7P7LeMTR1CrBrjsSc4YaW8ncHJ0oNn6kU5JdHF8XlGrSq0FgAtXq/afLAAmAzamwwSmUXCXOGamRnjam3NOfMtic9ylgcO7CIIImhW/fOOrWVcmNB3D/ISw0dOJTUNcLjvv/O7FKRRM0kEBrR5eXA0sJvzh64n8byKEHkrYB+u2XnklfdWq2V99dSknp6ahoae5uZfJpHt7O6alBf/731kiEc/Ghg0A/v7ivLyhOa6OHSths5kGg2nTpth//SvLycmWzx/6dT542Jpl0gne/fj5AgZX3NXRJJZ4jX/0jMG3Ebh5+ih6e4ur2lwlI570pUZBbgmsnXfvt6hr7kldH3WHA6rL8gO9JzlVOkEQqxZFVTd0FFzcz2LS9DrV3/+zd9PaVHshv6FZDgBAp4F5ou1JfWqTrLvm+O5/MZgso0FPEITY1WdWTCqTxebbCmmsiab5h4DYwSbr0jV7bkigj8RB9GBH4Co10KcCFhMOXIB+NbCZwGICjYBeJbg5wdcnINgLOOMMPkAIPXwwYI0jMNB527a8555L3rnzWne36u23l82dK3388S8++ugxACAI4ve/X7F585ft7f0AYLGQvb3qhoaeuXNtz5yp+OKLLYMXGT6soLAtamITJ61fllhZ09RcX4EBayQ3rwBv/whBW/niURNH2XBBraPkFs4OgivZ+5MWPXa7A7SqfrZo/CYfg8Go0ershGOknABvSYC35NL1Sm83QUKk7+nsAjdXJ6HND01rE15Eb0F8yOCNTGYzl2NHWsh2WeP+L9+Mz9jqLg0gTHdaMFGt1vL5Nz26amyVy7v71TqDXm+i0SAtMZw21Zbzu73Y2X4ara5LI1SVNC5K+bHLUUdXr7xHNSt49HhPyny4Dxg0cLQDowlWJoHLzV33OnvBWQSTbe9ECE1rGLDG9vLLaYMfJCT4JiT4AkBaWhAA8His1lZFYKBLenowAHz22WYA2LnzuXXrPmEy6X/729r+fq1QyNVqjX/+8+rBK3z88VD/mAMHfgoGBchuu1jvKPJepUaXm9MvT1m6mdIXN71FxC0qy2oZvdVBAD3jdDmaoMgwaX5hTUXRpeCIhDEP6O6oSwjwHfc610vqz+ZcTYmPTIkbe4qqQB/J3z7aGRk5OzkuXG8wzpn1w3NJGh3MFpjAjBKDWCwmC5gA0K9S1bfIl6fN2nXg4zVPvclkjB2PNFrdwTMl9i4+NF3dwuQfn6kxaERjW4/eSHL5wrbWZg+JfZCf+wRrmAoWxIftOVmk5QgHVBqBzdB8s4Xlzbz713pUUA3eLrBs7PcJAICLPaxIvF93RwhNbRiwJorHG/oxXVTU+re/rRn5x71KpX/22SSRiAcAg+MNuVwK/mZNjg0DgDMXissKc0IjU+79gtPdlewDPV2tNBojOcJ79D6CANJC1Y1iI/1PXzjJoDP8w+beutdiMkzkIvHRgXFRAR99echgItOThnJMcVn9rNChXvY6vcnPV9rVrVgw189ZPKLlg7yLdDXS0eyKtra20+fzvb2l5w7+h88c+0144WrN8s1vsFicHf/5zcjt7q6O612HR7oFT6IA61KptXyh8/zMJ0/ueGfVoqERyhqtmUG/PxOrFtfB0cvwmy335eIIoekPA9Zdy8wMBwCNWklaLHxb4fmqgrKD3wiYpvZr4a7Otx3bPzkms7lN1he/4k7zXs4cNgJ7G4GoruQijzvWiHdKB5D5S8U9/T23bteoB+ikZtzTG1vkuderUmICMxbE7Dt2MS0x9KudZzVao1qjHg5YfQPq5lbZvNiwo+eLM1Mjfpyga7Lzfbs42NDBMSojNsDnTs+hzRby2oXD8pay1YtmTe5GU5NSpWZxbWvK8oN8nIc3Mlh8vUFP5W1a5aBQgr0tHLwIv3uCyisjhB4uOIpwkk7t+ejA9vfyCy7+as+HTbaWLevmUZ6uAIAgCILBGVyTB4VEpoREzgOwAECvQtnZ1XfTbko7DBVVdkTGLbp1e/HV85HB40/L2dPb19vTey6vMsDHVSS0ffc/++Q9/Uw2iwRLh2xotGOIv0diTEhJVbPRQj99acRYMwIqalqUSvXd1pyWGPLoiuQ7pysAWJQcGiW1rF86Z7rP4T6KxNmRb+nIOrFLpdZ2yLqv3Ki5kF/uE5YwoDEdPHWttb0bAHoUA2+/+42ib+zV1sfXLINtJ6BLARdK4KerqaweIfTQwYA1SQaNYl6Ui0CR97fkWX9ccvtOGPdGo9GxOQ/Vb8F7p9UZWtq7v9l7zjCqZWKshQgnjyWg3TJRJ0mSbTX57m7icc+WuDgQBKHV6rPzykMDpalJs7kclqdfBIdjs/v4tXO5pRU1TQaDceG8SDcP79WbfwGk2WyxAAAoNWDLr6qXfbU7i8qXMwKDTn/IotWwuEi/+Nk+5U3anCJFh8pWruEJ7MRiNz+9TmcwmQdUms++PTUnKvROs7/e2dE8eGkdpEXDo6nggH/2IITuBB8RTlJo3PJrxRdYhHZ2sDubTjeazEzGnSbOnpwLV6ttheP/Op9RxO6Bh87m0WgMT/cfnwSBzgDjLcN3V2i0MTowNTdUeLvZ3fnET7ef5PN5Hq6Oz25evPNg7tXCShabsyI96qWnl3936Iqzo4BGZ9W3dN8oq+nq6t6yISPER1RdepnOsn351//38k8e8TdawNVhRXqUvKfvzjdCY4qZ7SuwbVeqtZ6ubILgNFQcspgcLQwbo8Fw9Hy5h4fbsrQ7zcExDoMRuOPMo4YQQoMwYE1SaGRyaGSyXq+9cfnklXNlLS3NS1NCfL3dKLxFZ1evQBKetPARCq853RXln+aYWqNDXQO8JTftKKyBiPFH9t2NMdrDco588ejyMbq9j6Q3A9NgvJBf2invC/aVKJUDOhP0K3UAIBaxCkrbIkOl3V0Drz63+rv9OYUVrQsTgk/tPyZycHrl+UeknhK4WAIu9jQ67XpZs7qwVavqZbIF7mJOiL/b/Z7eyWAw5l6vYjGZiXMCxz96Cgv0/fEhqZODXXFls1JBP3mxOjwqvrZk3Dn6EUKIGhiw7gmbzY2dvwpglXJAcXT7O54eLpS0Y+UV1rTL+iw0/uonn7r3qz0c5LJWZZ+8t/HSgoSbZj1QKjUms1l0vQqeWUbVvVRqLZPNGbXRYjbb2vDG/f8ND/CQujuW17arDNydB8/yeTwOh3X+UlGbTH70RLa3b1B+QVVYsN+x84VKjTFmfuYX33+RmRabV1BW1OBSWn1jpV4Hro4AYCaZ6595S6dVc7j8iqJLRc21mrJmJp1mNOoNek10iLPXBJ5U3pXs/IozWXmpKXHUXtbqZgV5zgqCzi5FZW3tgHKyc3lYSCAAevonN8ATITQDYcCihq1AFLfwiQ8+/1Na8uzI0HttSmloU69/9o8MBs5POOTk3v90NhQagb1uyegFwveeyGtsbH28qVfX2Bka6EFQsWjxyQsVmY//dtTGqtKrTsLxv1/mx4cAgMVi/vjrQ6++8Oiuw7lAY/XI22PXLkiaG2o0Guk02r+/Pv7oM7/xN5vVyr4AnuSfhQAAIABJREFUH9cgP1dZz0BE2iP5xz+B7j5wCAcAk0GjVg0Mjm8IjkgYOSkXSZLnjvy3oKwwIzmYxx0dBCcn61JpRb3cXmRHENDU0unh5jyNZhmdCIPBeOlK6c+eWXXXZ7Z0wfbTwGJAnwrWz6e+MoTQQwoDFmWk/uF+AeERwXdaS3hc7R3dV4obY1MfxXQ1Eptr4zNrQXnR5e17zv/sqeUjd63KmGsnSFW//p/qTw7uifabnRBmLxLQCBpBI+wENpO4V019m6tPNIfLG7XdPzR698W9E5w10mAwsVnsuoY2g15DoxseWzXfXmQ7HP6WpM0tzt3t52Gn6FUPaODz78/b8lmc4rzwABcoqgKR7fXiWgvT8XajRwmCSFu+VaNWHvz6nbmzPHy9nMc87K7MjfTr1bLcfZYajcY+hl3xxULSrAGz3mQBL4ltdDi1j1+twMPN6X9+/gjjloEL4+hXw4d74fdP41o3CKG7hQGLSlFJq/af+O/ClLDhiaTvjCTJsuqW+lYFSePS6ByzUSv2CFj02CYefwatIjcR85duNhoNTVWFy5aO7qE8mKL4774QKVO4frj3KJOtVquUA2qD0fTLn28Yd2nnUTpkPTUy+tINa0dtV/b3Xrt4NMh3olHG090pONDn8KlLOq2Ww2EF+XmNbFqLDJVG/vCc88vdOSs2verk4nl8979jE9wGJ8HycnNUEuP8RufxbR/76V8O/vd/KQlYHDb7Us6Zn/raNHTJDIbwRet+ymYPLaSz7Z+vPwQBiyCIu05XACDkg1iE6QohNAkYsKjk6Rvi6PLbE3v+Heln6+05zq+9dlnvhesNEQkrl6fNJQjs2DGOw9++uyw15E6NUs4iZyH/qQ0LgCAAICe/8vsD2VsfHWMuq9tRqrTnL5WsevpPIzd++/Fbyv4+DotcmBjsJpFO8FI8Lmfj6hQXsf2xUzl/eONZ2m067py5WKRRa0/s/ZQO+tBATxaLOVh8XbO8p3f8J3Q5J77r7e4EGHspnrtDkps2LPaRuro42x85eeH0gHzZIz8f3COwc9BodVQ9i5x+Hq5HpQihBwYDFsV4fMGaJ3515uDnrZ0VCXMC6bSh36xXiupa5GYGk0WjESRJ0ghSJPZa/+w7NBpGq/EVXz3nKqKP/8jPzhaUGhDwASAlNqigqKymod3fe2LLawN8dyAnNGYJj3/Tg7mo+IU9Xa31VUV83l0nDJPZ4uTkxGYxAeDqjVqdwRQf7c+g000m09e7zoYEevM4DAZhtBHYezjA3AhfMJmBQQeA+ha5yCWwpuyaT9BsOv2236Rz561srS2826rGdPTs1aaOgaLypsrK6id+9gefwKH1kkmSLC0ptGGo0pNn6nICHDZo9Tg7A0LobmHAui/SVz7T2lh14OwuDk1nsZhaO3s8vEPWbv2lteualkwmY13R6dUZo7u3/6ioFsoaAQDKGkDw41jCuDnh3+w+FREWvGbJ3HE7v5MkKfEMSEpfM2p7cEQSAHQ0lgvvskeXTm+4UVotFIqMJnOvYuDoqQtKlbZfpV2WGqnRGZLnBudX9KsVrWaC1d5Ubkt3q21s91MbwN8dAB5bkaBUqls6sg/n7RdLI+NT145ZP4fLd/Ob3doud3d1uqvabpWZFnPxaiWbRSdJqL5xrrO5SqsZUPd3uUjDfb0k8+PDxr/Ewyo6APIrYP5MzZcIocnCgHW/uEsD3Z/6nU6rsVhMXJ4tJaPbZqbiq+ciQ9xvu/u9nRDoAUnhwOfC6uSRe+KiAsSOwu7e/nFvodMZjpy9Hho/uuvVMCaDmOD/4H93nkmJD/fxdGazmHMjfC9cqdLp9DK5wmwh1m7+WVVx/s5DF3RaXWNLu6OzO42gL1n7QvbxHTxxSEF1h3tpAee5FYPXsbXlh9jyQwK8isrqCy6diE5cMupGJqOhtalGr9PQGRQ0gtLotJS4EACIjQoEgAGVhkEXcTkuu4/k8ThMBmMG/6BwF0P2DWsXgRCafmbwz80H4tbBaOiuWMzmmuL/z955x0V5bH38t72zS++9gxRBERUQ7KJirwmaYkwzb5o3VRNNbhKTXONNuYkxiSWJ0WhU7L1hV0A6SO+dBRa2t/cPEFHpIBAz3w9/7DPPmZnz6MKenTnzOxcX3c1tv56QbWwocHW0aLl9LgHBXhjr01F3Jztzp66S4QBcT8x19p/cVgqhLTKphM/uLLrS6/WNUnliSi6fx84vLOYLBE525hQKpbxGKjI0bGySnbuSolTKzxz+ncWkD/NwmhDi9+exBGmDeNS4SBML++mLXxEYGB77/RO2Wgs+54HB/bydjl24ui/zxuiJT1jZuzY3ZqZczbhx2NnG0MmYY2lm+ZBHfaX1lMbCmaP7ffC/GZeTEdLhG4xAIBA6ggRYhCFN0q2zQd4tAcT12znpBQ1BvDa5UHF38K/FkiZZcVm1t5t976bQ6/XVdYrwBVM6MmAy2QqlupMRmppk//l+T2Njk1arpTNoWVm58vH+HDZLrZTbu/pdu10gV6qsrKwixvi4OluzmUwqlULTy1ksxp2Um7diDzM4QlNTs1kB9igtb3f8yHA/nVZ3+PRP5k6jgsfPA5CdcmN6hC+TSbQ8Hj2l1ehGjE4gEAgPQDKsCUOaouykewlGeq2hsUVBcVXLpUoNBh0Uyh8xV5PSCns9RVlFbXFJib7jWtF0BlPPNJFK5R0ZCAS8l5+e9a+XFzNZzLVvPPXOK4ub5SFcnO11KqlCS4ueF+7iZOPn7cRls5oFPF+InjZ72qjJIe7DfVxtLURREe68cwmY0mEdHiqNOmtKEFdbuG/rJ5L6WjefMal3inr9yIQeoNQMtgcEAuFvCQmwCEOXksIsQ46cwaAD0Ov16VklNeV5IUF3K+WdvIWJgQB8POyKSysqqsS9mELSKDUU8S2trNstPthKxMynY84kV3eczmVuZpSRV+7v62MoEoBC+ePABbVGOybQTd5Ya2xmTaFQZ0wIvJWYU1pe3drF3tpMoVRci8+wMDPg8zioqoNtF9VvfD3spoc5Ht31FYvNzSnqzfMSekZ2CexItXUCgdAbSIBFGFpImyS/f7+mvq4aQHFuqrhO0ry2dOTs7QZJ07K5o++JNYj4aJQBGDvCLXr+hNp6aXPzj7+dOHQu9eyVtO5Ml5FdsvHHmLBpT3UuRcYXiJa8uOFSXH4nNjViqb21MYCE1Lyyilo6jQqAQqF4Do+4nZqXklFw5WZKcsZ9K22FpfXhYwOCh7sDgE6fkJq/69BNmVzRySxsFtPGnFuedjhqgl93HpDQJ8pr4WDRtRmBQCA8BAmwCEMItVq14Z0nGsQVl07sLCm4o9PpUzPzT8cmxZyK9xq9wMLSgtU266i6HhbGzS+tLIy93WwB6LQ6JoslMHXJzCmSyjqLVJoZFeBuZ+tgYdN1gSMqjcZgCTsxMBRyrydk6nT66poGayuL5lOH0yO8r53clphWEHP8CoPJvnQtqe1e5JRxfiEj3alUCmolKiEvv1xpYOqYkVXcalBSXrv/ZMKZy6kq1b0ksNCR7qMD3dhEXnwACPXF6Th0vH1MIBAIHUGS3AlDCAaDOT/6NXHh5eDhph9veHXpvIlvPD/nhx3HhYbGSZd2eTnfv5ZQVIWpox4YgUqjPr0wIr+ooohN76Y0KJetVyrk3SlPJDKzzSkoc3FoT7mUYTBmdHBpjVosZ1Q3Yv70SWCyAQiMjBbPtYk5ecvG0nCEr8uve09raCIG/cGaLZLsojsWrtOXvEGl0c4e/Gn/mXQGRU2jgc6zmvPsJ/Xi6pOndmtl5bMndywGRngUUCgwN4RcBS4RGiUQCD2DBFiEoUJDXc21c39p1UoO9GwW86klkW5OVgCiF4xnsxjtlHdcGIFfT+KFqIeHsrcxT8+MUasjmvO3OqKwtPrm7SxTh8BuFn8MmbTw3JEdijvFw9xtH7i17n/1YRG+T786/cKFrNxqGtcxsvXWqlW73n33eWtrEYBlq8Zv2nRm+fJRRka85rsrVvy6adNCgwXjRwKbNp1Zvnz0tAWrAKjVKq1G3VBfe+Kv/6maqpl0nbe7dXecJPQzciWJrggEQi8gARZhqBB7YmdpfsqkuavOH90WqtU1R1cAzIw72JizMoZeh9IaWJs8cIdKpayIntnljCqV2txxVNjUxd30kEKhTpj59LE935nX1psai9rearr/jGFZWf3GjacbGuRffjm/ueXq1dzt2695elrw+SwqlbJ5c2x+fk1jo0IuV2s0ujVrDr78cnjzrWZ7BoOpUsjP79s4e+ooNoukAQ0eRCKYQCD0ChJgEYYKM5e8qlYp/tryXvSsUQ9vorUPnd7R6oKrU9frPa6OViVX02+cPzAqYk73/Zw0Z+Wu/72xbF54a0tmTgmdZrJ+/ZEffrhYVdUYHu6+YcOJiRM9s7IqN2++2GyzY8e18HA3Ho915EjyjBm+iYnF0dHBhYW1mzdfjI7e+swzYy0thfHxRTNm+IruRm5andbczJjNGpxcq3c2SdKzGg8deFqr1VnYfvTr1sXTpnr0cixZESSZ/erdAKLoTAKNQCAQOoIkuROGBBq16vb107End9XVN1Bp3YuuAHg7IL2gL/MGDLNTKmU96sJgMPWU+7K7rtxMZbOZH344Y+/e59evjwKQn19bVCRmMGhubi0alStWhDQ0yL/44qRKpW1ucXExNTHhazQ6V1ez69fzHpjlwrHfTuz+ytdj8LYFqfS8gnqJnBl7rVIo5ILOzS1SvvTqkdffOtEgY1y9Vb3y5UObvruZU6h47qWD//fmMR1N0Nbgg48vaCj8Z54/AIbBZ//925aauZqKqjqS5E4gEHoBCbAIg49M2rhv+ydCdUawG4NKpX7zy0GlUtWtniM9kJDdl6n5fG6TpK6nvTz8w0rLa1ov588IoQBtixWuXBl6/Xr+8eNpzalXAI4dS83MrDA05NLvlg5stqdQKB99FJWVVZmQ0CIcqtVqaqrK6qtyF0b6Gxt2dm7xUTNzpu/Bg4l798bPmxcAYMOGE++9Ny001HX37lvNC3JOTqaffnr87benTJniXVhY29YgJ6fq3LnMEyfSYmOzKyqlg/gUfWLMMDwbiXXbUVAxKPPHpeQdOp9+8HRiQkpeJ1q4BAJhCEK2CAmDTFbqjYwbMdNCPJvT2J9/cvL1hOwbt7PCgod13ZlBh6RPH940KlWrUfa0l1/QxNgDG6wtW3K/hAb8D9dEgGUMIDzcLTzcDcCECR4AuFxmcLATgA8/nFFfLxMKOc1x1ebNTwCYPNlr8mQvADExL7U25mYmnjvw7XBf93anHkhmzPD96qvTADw8LABUVkqsrETW1qKMjPIVK0Li4gr/978LXC7D0dFEq9VzOMy2BlOmeH/yybG1a6d/8MGhd1/zBbouuT1EGeYEV1vsPotdtZg5GsO6VvToL9KzijVsl6hlcwEk3zp/OzUuwMdxwGYnEAh9hARYhEEm5caJuZMCdHq9TK5ISC1gMOijA9262bexUUYPcOVcSkaob68dUMvFarWKwehBqhObw31wiU1ZBV2L7FZChrqpSa1SaQwM2L4+1mxOi3ZXQUGtm5vZnTtVLBbdxcWUyWz/t8/Zw/+2mb2Pu00vnqV/4fNZNBo1LMxVp9NTKJTFi0cuW7ZNLld99tmcXbtuicVSQ0PuvHkBy5dvr6+X7d37fFsDoZDz3nsxTz895v33Y8JDZ0CWMthP0wdYDCyfCq0O38eAxYTrQPzXJKUXNugswqbNbb70HRkRs+NG4/X0sSPd6d3fQycQCIMHCbAIg4leryvIy9p/hsJgcRJuXAobE+DpYtn97nfyyhqFgohz8b0OsOQKZWFBUVlRtr2zd486avX3Hy5ruCccH+A79ezFkitXcj/8cEZubvUnnxxjsxlr/j315e1b/njztV9+uWxvb/Tcc6Fbt15tPki4bt3M/ftvt742MxP4WnhJN/7KWr0EPSnnnJVXolJpjY0MLM0Me/Qs7bLh40ngWO7Zs7Jt46xZflwuk0KhtF2QW7x4JIfDALB0aVCrAYDS0s8BiMWb0JSDnuW5DUloVAxzhGSAnqSiRjJu7gttW2Yvf6eqomj/wZ9G+VnZW5t21JFAIAwRSA4WYdDISY87/MdGWzs7Bk2r1yi0Or23m3WPso64HIa4XgpjIeQ93uZrhk6jufuM6ml0BUBo6lRdW9+lWWlp/cqVoQC+PXCinFJdJ28CkJxcJperExOLo6L8QkJcDh9Obn19YH/c+SM7kkriDAR8VHc9fluuJJZRzcacvpIlV/TyX6NLeDxWa6qZSMRtfs3hMNo1+HtTWYf4O0jJQ02bzc3EbPgO0BYhhaJ/+F/SzMJu4fMfJ9xpaJA0DYwbBAKh15AVLMLgoNfrbl/aHzbSkcEwNRLxAUSGuXVXneEuuUW1Gp0OJkLUSmDTm+/0DAZd0VTdtd1DhExZcmTH+jlThnduduxYCovFUKk0I0TDatQaU9594aOLi6lUqszOrmp9nZkUtyiEI/IbgY/S0JNViszcksAxUyxtnNh0DY3aH1+cam+g0/qMAG5WVPubGTO7nE6v7Qd/BpL4O4hNxkh3iBsRn4U6CUABlQJ7C3QqXdsv6PX689cyZGoOi/2QuC4AYPri1w5uX78gksj6EwhDGhJgPc7UVpeJjMxkTRKB0GiwfbmPkoI7V8/uS05KTEiIf/Gp2c0BVk+jKwCONob7Dsfq/bwo9Y29C7AAWBmzC7JTHVy7kVPfBrVKKZHrDp++lZNf4epsbWUmlMrVIiHXx92u2aB59UGn04vF0vz82ri4QhYe3O9ru0TR/NrcVCgSsgCA3606P62kZBYzuYq8lAvhY4Yxe7Kx2CF6DTo9tVYpU6y/dmuWk/1KH9d+mG5IUVqDmWPgMtAaGeK6xrjUPHG9YsyUp+2cvToyY7LYjt6hBcX5DrbmA+kegUDoEZRBOfq7ZcsWACtXruzSktBrqitLjv3+CZNnWFpS8tybXwkNH5Q7HywyU66VpJ7wdrOuqpEM87Dry3KLUqnKK6rwrJdBqUJIL9OwZHLFxcT6aQtX9aiXWq36au0y74Aw/6DJW758zcM3oKwoz0DAnxjibeH3BFdwL6JtaJALhRy5XN12K61D6pPQmA1A++Uu2r+WdN8fjUZDo9EGeHsutrQi2NKs6xWsvx2FlTh5Eyu7LgbQj1y/nSOWc8Mil3G4fBqti6++Oq32wNY186Z2sYj19Y6LRvZB0dHR/ecmgUDoLmQF6/Ek7fblKyd/ZzJpammNjYMbk9Wz5ZBHR0lhVtLVo4si/QFYmvV1XY3FYnq62qGwEvsuYKxP76qacDlsZWOFXq+jdLUj1hYGg/nmx7/S6AwKhfLUq5/UVhalJd0SGBjQaRSlSk1XyqkUih4UOoMhFHJwf6KSVqPWaTXt10nUa+UK5ZFzycPLZLmxqVPCuruuRqcPwu9ymPVjWsPH3hw2ptgfi7lhAzPhhesZFh4Tg31Gd9OeSqM5+URkZKe7OlneuJ2dV1QTGeEzuKppBALhAR67r54EAICb90gnzxE8oXWlWD5/+VscLn+wPWrh3IHvxvj19yl3e3NMHIF//4ozcb0bwN3RODP5Zk970RlMCoVSL6488dePFrZuazf+5T08NC6zjsMVJFw7+f2nLzCYrAeCtqKKog//s6r45hZG1VGUHmznpynvZGz69Cffd/EaaWgbkJ1f3rsnIvSVyGDklQ3YbPUymke3o6tmhgdPLq7nHL9cZOkdRWeyDYUGj8g3AoHQO0iA9XjCYLImzlrhMyLcfVgQvScKT48aJpPd0ChNzypsbJIB0Ov1Wbkl3dVt7wRfZ6xdDo0O2473oreHi03KtUOd22jUquN7f7h0apdScd9B/bSEWAsbJ0trRzaHFzJ5ydyn17I5XOh00xa8/MAIcZcOv7/joxSuVtSpjIJaz+BwBaDTgzyCE7NqVCpSC2+QoA3Qn8e6+kZjyx4riOp0uuT4WCZPePPMzqgI79Yy4QQCYYhAtggfZ/hC47grJ6OWvDLYjrSQcOWYWqOLS8mvFdfX1dWz2OyGulovLw/7/srVnRqEL3f1oh+FQjEzYqfdvsJkMnkCQzqdbmbl8ICNTNp49cLhJ+dNPLV/y8ylr7W2j5244OEBg8fPfaClvq66Iu/G5gUTi5ukok7rN4/wNN2zZc2Up54RffzxxLXvxZ7dMjGkxyoShH5Ao4Ve37t95x4haWwSGjr0tBeVSnX2CFDV5S2MDKQOVCxIIBC6DwmwHmdYHO57X+4ZbC/uUVGatyRqZLMOtaRRKq6TWFuatp+K1Gt6m3AdFuSRnn2tVNwkU2rlCrV/2CJnj/skGP7Ysp7NYmTkVY6b8+axPd8D+siFD65RdcK5IzuCvWx4DLpHV4kyjnbmttYme4/+NH/Fs8Ltv6ksyArWIBHqhzPxmDTiUc8jbpCbelr1tFdxXoaIJY0If+TuEQiE3kECrMeZbz9+8YW3v7GyHbjqaZ0zLHD88fO/zZwYCMBAwDMQ8Pp5grJa1DV2ZkChwsBLp9PX1SuNje5L/KcCw0bdO4dYXlV3J/GCgZGVpV1L3Z55y1Yr5U16vd7Q2HTSnBXUnkRyJ/dttjPSWll09yAnnUabMc7z0OU/AxMyRAsCGiRNer1eJBR0f0ZCPxDshU9+w2hv8DmPdJ7M/NphE3u2RahRq66d+nVBZMAjcolAIPQdsrD8OOM/MqSqLH+wvbiHnbOXS8CMU7HJ7d6VyRUnL97u/ei5Zdh6FK/M69SImlZsEPXk2dfWJixbdQ0GHvtOy7IqDGHg8cCPpcvoL78r4hvaAXjhhZ2VlRJTCzsbRy9bJ2+AwmAwaTT6qlW7Sku7FluvLCtkqMtH+Dr36GkEAt68aYENIY7aDb/fzJTdLqAePpOo0w2CqMo/mhdmYdMePGItG77QuEelMAEc2bVpwhjXx0Q0n0B4TCErWI8zs55cTcHQ+hOccOWIp8N96gw6nV6tVrNYzKzcsiapUqPV9rKWrZUx2EyYd1GG78yZjOnTfV54ISwmJlEqVX7zzTkjI56lpZDFoq9bN7O6uvHzz09yOIz//ncRAI1Gt2bNwfLyhrVrDzEYtHXrZkgkio0bTzcbA9i8+WJTk1IsllpaChUKzfr1M5tFGdpiZmkX26DozhPUiBtMjO7bQPSbNTaLx9Zs+T132TwjuxEpmdl+Xj3Ohib0HmMDLIzAF7vApIPNxIuzB9shALhwdIevE9/YkBwbJBCGNGQF63GGRqNTexesPDL4PE6Az30hQkJq3rY/z99KzMkuKL9yLS45vaD9nnQ+WMalYq6SYgiWcTs/Iiv4BaIWoLdfYKSZ5ctHp6WVjR37xZkzmVwuc+pU79zc6vfemxYa6rp7963PPz/59ttTpkzxLiysBRAdvTUgwM7SUjhnjn9IiMuhQ8kbNpxoNQaQmFgydaq3lZXIx8faxcX04sWs1omqKorq66rQLNFON+hS0VeuUP55JP7G7ewH2t0mBnq9PmfavoM8VZanS38rXBC6xN0Oby/F6wvB46BC/EimoPTsl7ShMtvJnmi4EwhDHbKCRRg4stNuSeW6i9fTne1MrybkZWXnqDVapUIRGOh/JT6TyaC/91q0iXH7OeClUttZiw+6uJgmJZW8/faUp54a03pr1apd7747zdpahGciAECSiYbUjnzYtevWxx/PMjTkrljxa1xcIYDKSomVlcjaWpSRUV5WVu/oaKLV6jkcJgBXV7Pr1/MABATYJSYWi8XStsbNA/r728bFFbq6mqenlymVmtaJLh3dyqSqJTL1nKfWjp4wf9uer0ODPFwdO8xl5rBZjnbGqXeKRg1/qPIMm0X3cvAfNlRy6f6hWBmjqg4W/Vx1SqvTUak9+Dt8/ugOX48eZ8QTCISBhwRYhIGjrqZcq1Wl59ZfuBwfONz72aVTAT2TyTA2FBaVVKVmFXcUXQHY+mvS6tWTFi8eqVZrg4M3PPXUmKtXc7dvv+bp2SImnptb3bJ5t8hY2HEROV9fm9mzv/f3ty0urgsIsEtLK6NQKMuWbZPLVZ99NsfZ2XT58u319bK9e5+nUCgffRQVHb21rKyhNdll8eKRrcbffHMO99cTbEYhlx3b842Iq5sQMvx07O2S/Ay3YUEuPuM4rNrO/30iw/2qaurauVHbAC+HzvsSHjkB7jh4CT3MpeuSxNR8z+FTum+vlDdZunexD04gEIYCJMAiDBxB46LqxRULffish4Sg7GzM7GzMOul7/WbJypdnAGAwaCYm/Pp62Y4d18LD3Xg8VlZWJYANG058+OGMmzcLdu+58vzrHZZwGTvW+cKFN2trpSYmfABPPTVm6dIgtVrL5TIpFIqbm/msWf7NZW1++ikaQEzMS80dp0zxnjIFAGbN8ms2/u67llqB778fCSAoyKH5UqWSc3gGMhU7OT2/qok+wTPw+38/Z2ppV1Wi81Vo3ZwsAew+dF1owJ0W/mD9RDOT9j472UzEZ8HHCaKhosj/T8RIgJJqaLTovCq5TInNMdADbCYsjWFjCnuLjlIDdVpdTqls0XT/7nsRPH7B2cPfTB/fgy4EAmFQIAEWYUDhGxg2SiUPB1hdEjrW7saN/KgoP7lcrdXqRCLuihUhcXGF//vfBQ8PC7Td6WvoWBder4X4FgUwoQJ302mYABOAsuWSA1QWiVPvFNtZm1lZGyWlF2u1jNHhUa2C+Dweq3NXDYTG0+a/BODgzq+YDOb+n9dQKLramsoX3v7uyK6vcosSqVSqhYOPuKqgpcP+WMRcgr8LqDQoVRDysWwKuCwAuJyMC4kQcFEhxrf7YMBDZDBcSSbWILFoPHaexvKpHRpU1uG7/Xh1PkyEUKpRWoOyapyNR0k1aFQ4WyPIE1bGrebnrqWHz3ymRy6IjMx0DCOdTk+k2wmEIQ4JsAhdU3H+W3XRNdvlf/R9KDtnv/zkfYYiQez1tIgxPt0DMfm4AAAgAElEQVTvGL3EZ/Xaa7/9dj0pqWTjxgUAjh1LFYulhoZcOp2Ktpt3UZ3k/+ohLWz3RklZbUlFdVFZI4cnqG+UT5z97OkD3+0UV1IV2rkCrsjIxCcwvCcPCo1G3SQumR85ksVkFJZUZlawAMxY8gYAmbSRw+VfOrW7rr7R8NYdqDT4/o17YkulNdgcAyYDZoaoqsOaZW0G1eLT3/HB8h55Qug33GyRmo9v98NMhJxSMOnQ6PDirJaVxeRcHLqCNcvAYgAAiwEnSzhZtvTV65FbhvMJKKpCxHAEewGQNMmUMmlPvWBx+M0Hb5svi8uqRQKuoN9V5QgEQt8gARahC8pLcmtj/8cyd++X0Wwc3G6e113benhUoFdro0ajuRqfrdVpI0YP66ijtZVg164VYrHUwIDTHFF9+OGM+nqZUMhpzoJaujSoZfPu4pF761Hdo0HSdCI22cLeR2BqZO/i7+w5nMFg+QbNvH586+SQYdRqVU+jq8yUq9fP7Y8IcmExGQDiUkujnlrXepfLEwAwNrOXX9hlKFFg2f0pONYmeGMRGqSorofz/enMdBp49+mjEgaauWGorodSjUXjAaBJjg078fZSCLg4dAXvR3dYWodCgYs1rEzwx2lotc1thjqdNiUJzl7td+kAT7/QI2e2CwVsuUKnVKlT0zJfWD6dBFgEwlCDBFiEzsj9bnK1mu3ClBvb9s/BJZm00czGzdGSOdy7RawhKb1w35ELZmbm0XNDOuuprAWoRmxAVYe7e4AiJiC/Z8Kj6JFUDBtujwKsxkbplt+Ou7o4Ohs32ViZlZTdOLgthsWgWpoJNz0ZqdPpdt9JuHhi57ipT/TgMSX1bvZG9jZmOq3uxu0sC8fhrUqSX399NiYm0dbWKC+veoR3wAcfzzAyak9XwrASwoR22n2dEX8Hgf0T7xJ6g6no3ms+B68twG+nIFNgnH/XhQs//Q3Lp8LeHIeuIK1gnIi3v/aK4+wlPZrf1snTfPl6jUbN5QlqqspMjX626LR8OIFAGBRIgEXokKryovL6JiZLp3aYRJn2bb+MmRJ37sq5Ay9Gt6zZlJbX7PzrxKhAbyMjI6FBpxncTbloym3bUC1TfJuU8VagD59592385S5MGgl/lx65xGIxF8wMvX47y9XJhk6ne7pxPd1sW+/uOxE/ae7zTAajR2P6jpr063+P+HvZnbqc4R+6xMH1vpW5V1+dMHu2/9698atX/7Xuc15uoXTDhhNcLjMqys/BwfiTT46x2Yz/fDy2fTmvMcPwxMcY7Y23lgxAHWJC15gI8VK3BUi9HLA/FnQaJo9E1FgqQDmZ2J1+KqVCpVLwBS2xHZPFrq0uvXRyZ1Nt0fTwDtd9CQTCIEKERgkdIjI0sWFKhyHTdPTyuoaWGn9yuVwmk+l0uszMTACFhe2nNHWEibm9Wim7dKtFkPPU5bQJ44JtrMzsLUWdd3yYNHH97RpxhazNEhad1qPo6lZS7rZ9V0/drNwZExvk70anP/h948jZ28OCZ9nYu5lZ9Uw/nU5nTJi76tCFvKqahgeiKwCbNp1ZuvTnVat2mZoK5HL1F1+cXL16so2NYU5OVWlp/cqVoQBOn8trf2geG3+uw6wQrNuOyvY0HQhDmaUT8fZSvLkIPi2qZjRmt7b2CnPTv1m/svWyOD8z/vTP43wM5k0NYLN7fGSEQCAMAGQFi9Ahe39eP0ldW2oTduF0ZmPjreXLl//1119lZWWmpqb29vZ//fXX4sWLU1JS3nrrre6P6eTuO3Xec00SyRc/HAgY5ihT6CxNDXx7Vf7Fncn6OsjfSXS3BHKtBOz2z/eVltcwGHQ2i/FAeWlTI56pkClvEq9YMsnc9MFNltgbma6BM919gnvhGwB7J68sM0vo5A/fev31ibNn+2/bdvWZZ3YAqKpqdHU1c3IyqalpOnYshcViqFQarVbX4dAsBjzs8PoC/BCDOWHwsOvQsroevxwFiwmlCnbmaJJjyQQIOlO6JwwkGdmljh5BXZplpcVlJMY++8aXzZcyaeO1k9sWRI4gtQgJhKEMWcEitMeVL6BqWvryhkaTEUa5hw8dOlRZWSmTyerq6iZOnDhr1qzx48f7+PjcuHFDJpP1aGAKheofNCkr8dzU8OGVtTLolMPc7XvnY0lZ7Z30onvXZTWwNX3AprC0atehG0VNZgl5mn2n06Sy+2oCOthazJg4YsFU34ejK0mTTKLm9jq6asbKzs1zeAQAvV6nu5vX3Iq7e8tpx0WLRixZ8vP778dQqRSdTi8WS/Pza2/Fl3UxuoiPd57A3vOoldxrrKrD0WuIuQydHio1vtyFl2bj9QV45wmM88fEEfj5aF+eiNC/aHX6/My4morizs0cXX3yc9K/+feLBdmpAM4f3jo9wqc5uhLXSWJvZJZVdKFhSyAQBh6ygkVoj7FvAaAAbM/pNeVJoaGhCoVCr9ezWKyLFy+GhIQ0/3F/5ZVX5s2b19OxaXS6pYWFVqdTgzMlzD4ls8Db3e7h7bkuaZIpK6rbxBY+Tjh4GTPGtLVJySyJmP2ShbUjgNMxP4nrJDxu16fwNFrt0QsZ8575sKcuPYB3wDgASqX84K+f63Sa2cveY3O4r746ofnumDHOev2PAJRKzerVk7Ztu+rtbfXcc6ENDXKhkCMXF0F6s4sJKBS8Oh/bT2JeKP44g8kjse8ilk3FnSJcTkZCNlbNhcHdRTtrEwB4KM4jDCI2lqK0nIx6cYWJhW0nZgwm67UPf9br9c2/d1ptyymP22n55RLO6Akr76RcvX46kc/SeTpb2liZkJUtAmEoQAIsQmeUKFim9mPeevottVrNYDBef/11tVrd/Od79erVAC5cuNDTMasrSgz4tLScmslRz/24cbWXh1PvtgjlKg2bb6xUqu7Jlno5ILukrQ7nCB+HrOSrzQGWmaXD+asHl81v0YuXSuU8HqftgEqV+nZqfm5hpUpLnxW9msnqB0EElVJxYOvH08e560E5t/czR9/Jnv6hD9hMmuS5e3fcK69EeHpaAhAKOQA4HDq6I5CUnIsbaaiT4J0ncPAylk6CizUcLPDtflgaw+4hSbBAd/xnN56dDkNBe8MRBpScgoqwGc9b2nSrymRr2DRpzouHd35J0Sndhk+MnDoRQHD4bITPlkklGUlXEi+lQa/V6bR8pqrLEuMEAuHRQQIsQmeMmrAY8skAGHeP0TF6eJ7uYdhc/rFTV+wcHG+c2TEnMszf216lUtPp9J4qUztaiRSCgKPnT82dGtjSZG2C6vrWAOvMlfQmqaquvm7MxAV0BtNnxPjizIvNt9Rqzeff7v7gX8votHtlT0rLawtKalwcLIpKqxrE1UYmlugb9eLKE39+NX2cV7NGUWSEn05bcf3Q5yqmddjUJ5ttkm+dSy+98sZCb+AaStp07uZH45VU7Fzb8nphRMsLOg2vL2jfPmI4Rrjjv3uxlqiVDj4sBk2pUHRtdz8cLn/hc+sfbufyDALHTAscM635srw4Z//pd4zsSYxFIAwOJAeL0Ck0Jvgd1vXrHQZCo/Cp8xdND5oz2d/f2768SvyfH/5qbOqxnnVtg9zO0cNn9OyYs5kX1u24vfFP8NiQtnxcyeQKuYYV+eQatZZaVVECQNrUwGa2RIfXErKDwiJraxvaDuhkb7E4akygr1N9k86uU+1HvV73588fF+dndu5hSty5qaEebRUgqTRK8HBngb783JFfK0oLCnPTjlyN+aWo+HJpBfS6+37Qjc9FvR60nv8KC7j3VOMJg4pao+vF5ng3sbR1cXAnifAEwqBBAixCx9z4+hENrFFKTYxFAGrrJD/uODInMrQLEaw2FJZUqjVaALX1SmNTS9dho2Y/tcaqRuqo1yExp1Xo/NCpm0qVlslir3zrWytbJ41adWr/luHeLYtbdU36ESGRqdntJJLTaTQrM0Fjg/jhW83o9bp9279IT46zcXDr3NX6mvJ2n2v4MEcPM2nx7d1lKQffnRP69ohhIVadFbruELkK3Ugpax9FxxUbCQNFbkmDtX3PZNt6BJNFImkCYdAgW4SEFnQyMZVrdF/TsMWPajK9FsClW3fqlXyfYZ6ePalenFdUvefQJXc3JwunkS1Nhw/rZ80R22tFtzIQ5Nnc5mBrwbYYBUCv1ynkspjt/5401s3Y0KD5LpXBq6ksMhK1L0EU4G2TmXw1OLwd9Ui5rOnIH1+YC2mhE6IolK6+n+g1Ha0fWFmaWlm2nHmc2AuVfK0OtzJx/jaCPHrcF8DiCfjpCCgAg47no3ozAqHPVFbVyVWUvIzbzl6BXVsTCIS/G2QF6x+AsqFrk+ps+eeW5YknMv87Xlme2tLK66Rqcp/Q6XRJaXlalu30Ra/0KKlLo9HUSeRRS98cNfX5UeFzWlpnznRd/lJ6SQ2emAR6S05VkL/rrQv7dDrd3p/Wf/XhM2OG25oYtURXTVI5X2ick3SxtVzPAxgZCsVV7Z+cv3Ry55SxLk0y1YjQGV16y+IKZfIeZtjo9fjsd3z1JzRaAGiUIbe0nXysL3dBpcbqRZjQq89mS2O8Mher5kIswW+nWuYiDCBKperklayIyCdiT/2p0agH2x0CgdD/kBWsfwAVSbAP6+S+pL5WFvcn1WEy89CTTLupTHPPR+1R6LRltZWlft4jGiV1WrWyQdKkUGnNTYRddryVmOMWONPdZ+QD7VQaTYP7NssoFBgamyRcOertLJoaMr2txGh9Q6PQ2KVJXIIOYDLo4sr2AyxZfbkBf5iZMb+psUFk1EUAau8aUFJ62c2lsxP4D3I2HuP8YW6Iz34Hjw0DHowMsD8WFAo87TF1FGhUSBVg0BHm14NhO+LdJ5FfjvXbMW0UTIRQa+BqA2ZfzzEQOker023ZedzMxtPWyevp174YbHcIBMIjgQRY/wA6ja4AVP26UGJgZ2Q5zt4xwJhjBCqtc/u+Y2RiaWRiefbwtsaqvJzCyqTUO89FT+9Ox+LKxsnh7dc5NrX2qKoWm5m27HKmZhZmZ2ep5JKlsx+sId3QKBfZWZRmdSiVrtXphMbtHCGsqSw1EdIBeLnZHji6bdHKj+j0zmIRvU5H6ebRyKJKlFQj7g4EXDw9DUA7p/yScrBhJzhMxCbjl7e7NWx3cLTEh0/hUjKyS6DX48g1vL0U4kak50PEx7BuKQgQegSNSn1m0eSDZ5J1Oh2VSrYRCITHExJg/ePR6znyMkVtQV32eb77CJNlfw3YzLLGutmT/WrrHMorG6wtjLu0vxaf7TViqsjwQbn2Zpw8Ai4d+XbWlFHNx7I8XW3cnK1Z7S3G6HR6rVZLo2o6mohOo6mkNQ+3C4SGEqkSAJfDZjFo1K5ysLJTr0wN7jS/Kq0A5xLQJIeTJaxNsHg8zB7UlL+Hnwv8XADAgNebw4OdQKchYnjL6+xSfB8DAH7OOHINDVI4WLaIlBL6Dx6PY2nGF1eXm5hbD7YvBALhkUACrH88eo1cLjMwtpOq9azglwZyZiqVptFqjQ2FxoZdbw5WVdc1wXT0iIiODCysHTyC599MOj8m0AMAvePj7wwG5U7qLRfrzspL21sJ8rOSHd182zay2Fyllg1AoVDRmTwqrYulPp1KymC050VVHXaehlwJAx6em4G2xXopdFC6WkEMGIa8angLwHmgyq8Ouj5n80RPhlIFa1MACPbGlRScjQedhqUT+zoy4X7GBLodOPD94hc+GWxHCATCI4EEWP8k6gt0DcVUu7Fou/RCoZss+F4tb9Qn7BS4jR9Id/xGTbkWvyc0qDPFqVYu3sqb80w74oqtUChUb/+xB2+f6HIoO2vz3Qf2hr0wtxObQB/n/acPOLr5qlVKOoPZehjQ3nV4cmZmcVndpLmru5yIzTdRKFTs1vhJpcYvR9Eoh6kI0VPQXs7ZzOfufP2/Z52cTD799LitrWFNTdPy5aM/+ODQu+9Os74bEW7aw1m+fLSR0UNHIJW1qL7UpVdAs85WB7T1ikZFmB/kSrCYHdoTeguLyfB0FOVmJjp7+A+2LwQCof8hAdbjiUIuPRPzo6Gp9diJi1obi3Y8qVDKqs3CuQxwG7JVNF4ex5eikzs0xhvWpdi+mTDATto4euRnuZy+lBI2yqPdvbxWkjMKXPwi6IyuP+YNzFziErMCfFyoHW+icTnst1Yt4HI6U5CiUChMJgPA5s9fiVr6mv1d3dGAsZGHd2VXVtXxBF2vuvkGT06M/zM4wA0AVGp88juej4JVZ5uh0Ys99+yJe+edqcePp5448X9//HGzWeD+t99u1NVJGxsV69bN5PNZ27ZdWbEiVCyW/vhjbHp6+aFDL2u1OgubT+fM8d+wYW47sRewYsWvmzYtFAjYkBZAHNel8/dIycPqRybY8c/G293uyMXjJMAiEB5LSH7lgKN95AKPeb89G/vH+yPtNaLSc23b0wRjXRa96x3g6UTJcQqL9ImcPyvCLWqCn+/sZyhcQyqv/dymR0rolKUjpry8/2RSdl5pRzbZ+eVVctHw4MndGTA8cpneMCD1TmHnZp1HV83oKHQAGrVC1iRp2y4yNmUwu6XfaGnjXFGrbLnY8EeX0RWAqEjnkyfTcnKqHB1NeDxWfHyRXK4GkJZWFhXlFxLicvhwcnx8UXx8kVKpqauTAcjLq5FIFLGx2UIhh8NhUKmUzZtj3357/0sv/VFV1Xj1au7Klb9v2nQGgEajW7PmYHlFU3ecv4d6yIs45Jbhm32D7URvoNNoNL1Mp+t4QZFAIPxtIQHWgFN269GNXV6Se/rzGaL8mMmTQ3Bpi4urd3O7TqOuOf2ZWcNtKgUiQ0Nh6DKG8F441SSVp1g/+ei86hxDY7PFL34q43gfvJC7fe95SeO9mjl6vf7UpZT8GubEWSu6ORqFQgkcM7mgrGvpry7RKepVSoVKpRII79Nf9R05af4za7o5iMDUXtIoxd4LiBzVZXQFgM2mOzubfvrp8ejo4AduubiYmpjwFQo1AAqFotXqZDIVgJkzfQ8eTNy7N37evICcnGq5XJ2YWNwaje3YcS083M3JyVSr1UVHbw0IsLO06IZovkaL03G4U4RNexA+9NZXGqTQaJGWj70X8McZbDsGL3t8ux8yZdd9hxjujiYJV48PthcEAqH/IQHWgGM79tGNXZdyzN+WI4x678Txc03uS1h+LfuDaQkXS4pS7SxNoHvw6FxeYcXxy3kRs1c9Oq+6hEKh+gVNjIh6rram9qsfD2RkFV26mXH6UsqBMxmeo5dMnvt85901apVCLmu9pFKpls6jzl5N66NXns7GBTlpcpmczb0vIhEamnZnf7CZUeFzb11IQUkVRnRXcj06OvjEibQJEx60bysKP3as84sv7jx5Mg3AjBm+MTGJlZUS6zZp+63R2IoVIQ0N8i++OKlSaV1dza5fz+vaA7kSH26FkIf0QiyfhtHeHVpqdfjhIL7Yhc924nZ2Nx+wrzTJ8dnv2LQHGYUY5Ynpo7HuaUwcgblh2BwzQD70H+K6RllT42B7QSAQ+h+Sg/W3pfQGrEc90GapLRGXFxh6jvKtPckP3tgqxa6/sWnY9CfpD2mm51w6JqbZLVix7tG72zUGQqOX1vys0+kKc1J9A9yoNJrAoGPNgrvodLofv/i/MRPmtt1DHBk288D2ZJ1W10kmVpcw6fSSklxjQ36TpM7ErOfVbAAAfIHIMK9etmQit9tdxo1zKytrEZ/cvPkJAN99t6T5cvJkr8mTW7LBnnlmLJvNeOed/Xw+i0ajhoW56nR6oCUIa43Gjh1LFYulhoZcBoP20UdR0dFbExIrAuw69YBKhaVxa9GhDjmXgOtpmDcO7nbQ67H7HG5mYG4YTDs7ntlLMotQ24Dzt2EogFaHt5bCSPCgzd9TS8LG0qhKZ9S1HYFA+LtBAqy/LYx2PrKlLJMamVZ4/GtBxPsC35ZSeoqbW/ieM4qPbXac9UqrpbaxuuD071T7CUGz1w2Mv92Bw+UD8PIf0037zOSrydeOGfLpTu4BD9waFbHwp13/eW7xhF7HWGw2qyzzjoW5qbFpO6Kj3cfpvU+vn/phvEX3PkS1CqjqOzNQayBVQMRnUwENc8OGuQD27FnZfPP//m887oZlrdFYfb1MKOQ0h1wxMS9BWoCOVewBgMVAfjmSclpkt9qluAp3ivBedMslhYIlE1BchaPXUV6LSYHdX7F7kMwi7LsIAx6WTYGQBwAFFdh+HHNC8V40Ohdu7aDy41BGq9NRH720L4FAGHhIgPW3xcyn7ZWsIlPTUKqpyTczMhE9eZgubFEvbKrKp5z8V4PVTAsWHcomsPgAoNeXXz/Ocgi3mdq11sCQpbFBnJNwZGFkgEyuOHd8x4ylbwKQSSVcngEAK3vXyIWv3Uw60HKIr+coFCqVUmltbKDRdChJ2h1ERmb1Cvp9eg2d0JiNxg732vZmFyxwtsenv2HNMgDgWEM0rGsH+IC2TWK7Vt61G5+/gFO3sP8Sno2E3UMVgXLLsPVoO1rztmZ4aip+PNSnYjt7zmPNMkjl+PEQALCYMOTDxhSjupLzaJRBpwcApRqsv021H1tLs2vHz3gHhMZfOVZZmMZgMnQ6rZ7CCgydZWXrfDrml4Cx04xNe7mASiAQBhESYD0W6NTKzcH1Bi5i2xmBL38PSXHZ3pd1dK7NnC8Trh0PmLp2uIXDffZ6rchQoE3ejPEvg2UwOD73mRsX9o8LcgfA5bB1GhmAXza+zuEZLH2hRS7L1skz/srhBkmT0KAbad0PkVtcyxcIeFytWt3X1OnJ814+/Mdn86eNoPRhieViSeWW1Cx7AT/IgNcSQ8hLIW/n9GWVTJ4hloyz6UOtbjoNkcHwd8XWo3hjEbislvbqevx3LwLd8c4T6ChevFOMkPuif6QVoKAck0dCpQGv0/ObWw4jaiyoFAi4LdoQKjXkKgi6scWqUEGmwJqfUV2PH/823xyoNOrksW5Hf1033NsmeHxLGSiNRnP91q4bZ2k6Cm3f9g0r//XN4DpJIBB6AUlyfyygMpjj15ooS70CJ8vzr5V+G1YnbZAXXEXKH35Z/1FJau8z1uuQHNNwJ04bte3iuUPFGwNyvxqbtXlW2caArK1LE0/9fOXMnoLs1EF6kh4gqS0U3C3hrFUrAUyYtWLWk2+2tZm+6NXjsRm65oWNHqJQ660dPGpqxRp1X+XR+QJRaWX95Vt3+jLIOBvzH8ePDrIwAdB5qZyvEjK+jE9pUPVZEMTKGE9MwrZj91rkSvg6Y25YZxHPxpdw6Aqq6wFAo0VcJk7egAEPn+3ExzsgVXTYMS0fQh7879+XZDIg5HWxM9iMqQhrl0PIw6cruzYeShgZCmZPDrC3NmttodPpISM9po21p6nFt+OupydeHkT3CARC7yAB1mNCQW6q0n4ix2lM6sWdVOcx3hNmM6DR5Zy6Th9Fl90fYEGvp7FK+d458YdG0m/ZLnjXef5rDmHTrewsbAOCrQ0k7qaNmbFbJTlXBudJuse1c/s9He6pHtDYQgAOLt48/n0LcgwmK3zm8/uO31IoexFtUHxGRKRlFmg1fa4/A5iaW94paKe+IcSNKK9tp709nIQCALA2wce/Ii6zI7O1o3y/iwgWMvtDft3REgDK7npoa4bCyi66UCh4bQHWb8emPfj6L1TW4bWFCPXFB8uxejE+34m0/HvGej1Kq6FUY8cJ/HQEk0f21WFrU+SVISGrr+MMAdhs5uwpI55/an7chT8b6tp78xAIhCEM2SJ8TDAtO6Uw9QfgMffj+D8/4B7/qpZqZsMy4OlyDUpuwzcC1LtZKRQaxWdmkA8gKceJj6GswchopsAINv4cAxHHmAtgbJBH1bmNBi6PUFGiFyjkspz0+DuJpxlUnbOdsaebbXN7dW29sbl9R70sbJymPfFezO+fLpw2oocJ7xQuzyA88kkzS9u+OQ4AkMuGaQU1b202MTaAqQgWRlBrkFEIQwEapBBw8OTkbm2EldXiYiI87HHwSkeJ5DwGncfoza5o+zw7Hb8chVyFiQE4n4hJI7ruwmHh7aWg0R6U/jIRYv0z+GgHvB0BILcMv52Emy1KqjEvDPPDu9hA7A5zw/DHGZiKcOE23ljUtf2Qx3+Yk7e73b7dX4RGrrC272VCIYFAGHhIgPWYwNI0Si2CAAgMDMOf+KDk67GVZsEF6Zc8pfnZ3qtcqe3l/LKFmPAmMk4BQPoxeEW23imP3Ws45uUBcr3bHN31lZ+LwMnKIL1AzOMwwLEElQ2AA5klu53iMK3wBaLpS9+OT7rkZCM0FnWdcyaul6hUGiunAACjwmf3i/OCSzdHLl11RKidFRkAcSOq6kCnYfpo0GkAUCHGn+ewYkbXA+08hY0v41IylkzoF8e6hs2ErzP+PIfrGVgY0V01BFuz9tspFMwJxfrtCHRDSh7WLGv5F+gv2Ew8EwkABy/j9e+w/mkYdPbe+FvAYNAXTR955Mw2ysRnrew6PtpJIBCGEiTAehwo+P0Znu/TDmHLAEAt0+ee4k9Yw0nPsFJmgcEQiNOh97qvwHMzTC5EtmCwcegdeNwVkRIXyjMvUDnmpsP7J7DoLwpz02xNaS6O1jFn08bPXFGauOeXr4pnzBplZSVatGjLjz/ep0T/5JNbt25dxmTee3sLhMYjw+490Qsv7Fy/fqa5efvBlpERAFj0VmfgYZRKeZqLRdS8+fTdpWqNlmEkeFDGycIIjd043Pffv+BsDQYd4x+UpXiEHLkKtRbfvdZvA/o6w9sRafkwFvZzdNWWWSEw4CGruPeCEUMJCoUyfULAn0e2uPqFN9XX2Dr5OHsOH2ynCARCZ5AA63GAQWewA5+iiBwBgM6qyLisT9/nO2WDlD79ar3hDBezVv3J+8i/isZKFMVj6loI7p440ygVxWmmSw4OnPfdI/nGiWljnPR6fYNEfurAT87WPADFxXWrV//1yy/LPD0tc3OrN248zWLR162bqdfrV63aTS0nwAcAACAASURBVKdTn38+7NdfrzU0yL/8cv6ff8bl59c010sGsHbtIQaDtm7dDIlE8cknx9hsxn/+M3/dusNffDHv0KGkmJhEU1NBs7GZ2UOalj0kLSHWwzsAAJsvqqyssbFu73yfthsl/9RqzA3rozM946cjEHCxeHw/D0ujwte5n8d8mBAffLvv8QiwAFCplPlTA6pqCgWO3Jz8U3suH+RwDdg8gYGhuZGptbm1o4GQCJYSCEMIEmA9Dlgv/vHeBYVmMe8bxainOfZBFec/HhO0lGbZXqkTmRgV6fCaDjMPcESougNDWzC40CiVWpqFZVcq3gMOX2h8MzG7tFJaXVH0fPRUpUpzMg5r1sQYGHAcHEwAbNhw4sMPZ9y8WbB79y0KhfLss2Orqxv9/T8+ePClrKzKzZsvFhaKo6ODCwtrDx9OBjBnjn99vfzQoWRXV7OVK0N//fX66dMZEokiLa1s69YrAgE7Ksqv2fjZZ/uUi1ZXW5Ued4bLph3e/oGNhYGNtUP7dlw2zt9GXSPCh8OQ345m5v5YmHUtbd/PSKR4rhsbl0MTBh18LvLLW1L1//4wGHRrS1MAAT7OAT4AoFSqxA3lDRU5t9OPNTSp9FS20NiWzTOgHj3CjZoEdQNAoi4CYXAgAdZjh15P0cjpiuqT+zdTBeNCRUIA+sI4iqUnmDyopKhIR8ohmLrCcQygx/Vt0Mgx6inkXYH7pOJ6nc45CtQh+MagZBfLfUZMtDa/LuBzBQCg+f77pfn5tW+8seeHH56orJRYWYmsrUUZGeUA3NzMm7cIi4rEDAbN0dGksFDs4mIqlSqzs6sABATYJSYWi8XSY8dSWCyGSqXRanXLlgX/738XTE0FNBq1rXGvifntcxFLMWeSL4/H6cyurhFsJr7bj3+vwIFYNDQBwKsLWuQYTt1CUSV4HCyf2hdnekyTvFt590MZOg1iyWMTYD0Mi8W0NDO2NDNuXaaTNEqVqhrTYWaoyT6rqAYcB9M/AuEfzBD8HCX0AY2ycIMny22KvuiKo7TJzccXNem5yTeaaiv85npBo8St32Htj+kf3+vCZGH2FwAgq9MVximSTjm/fGqw3O+EptrCORPcbiZd8nGzbm3k8VjPPjv28OGkQ4eSFi8euWzZNrlc9dlnc9avPzJ37g+GhrzPP597/Xp+TU3TunUzcH+95NbXOp1eLJbm59feulXw2Wdznnpq+y+/LNu582ZfREFboWql4aN99foOhLjkSpyNR0o+RHzMCmnJzva0B4CMQuyPxXBX7DyNCQGYNgrWpn33p2c0NEHUf6cRBxidHt/tx3BXBLoPtisDikGzOFyoL77+C32r8kQgEPoCpcM//Y+SLVu2AFi58m+mBzjUubwBSTsaRrwlV6klt3dSG8q0DK6GZVQnkY50FrIai6FVwcwNo1fc1+v0Z3CNgEMw9PrKfR/RZ2w2dh1a6gzNHP7tk5nh939SmkWAdZ8KgFSq5HKZzYGRSqWhUql0OlUmUwHgcjsThWpokAuFHLlczeH0c4mVP354n01TZ97JfWXFLAH/7mqQQoVzCUjJA4uJiQEY5tR+55nvYv44PDHpEWaCd45Gix8O4pW5gzN7Xyipxk9H8MREuPWHxMbflI1/fm1iYWQfFB0d3bUxgUDob8gK1mOEXzRGvihkCYVaVUnSCf+5C8+ciw/z93G8uJ5FH4HIdajORsZJHHgTFp73wqxJ7yJhNwTmlRK1jGHuOCSjKwDtiOJK86G8J3qZVSRxGxbceslk0kvy0/V6fYO4cpirBSTIL662cAwsyku1Nmby79dbqiqsZDiP4PL6msz+MHXiWgdX36hplgI+F01ynI1HZhHYTEQMR2RwF523v4ttxwYtugJAp6GmAVpd58LxQ46ELFxMwntP/o0qEj4SBuPLM4FAaIUEWI8Rgpa9s5qvA7wl2Y2HbgZxjZVxN7RTPuJaWAGAqQvM3FGRhvjdrZ00Gk1RYaVl8kc6Q3+HF88OiuPd4mEpL2lB60udTp+dWl5TWUKj0kZFzGlujDu/i0oFlW3kblzNoNPya4pXHPr9z1VfxMZ8FRnu13Ykgbo24WpVyKTe6FI21NVcO/unUiqWShX2bv4BY6ZxuC3bakqlvKamehgrbVi2CgcvQ8BBRABmhXR3aGMD+DrjdFy3tD0fBTx7fPgBknIR5tdO0n0rGglkJQPoVlck52HZlH96dFVdD+O/a5lRAuHx4G/1xZTQPUxWHKe/mGj4TpGR1ySavMbEwqqxIEVbW4Tz/4UeYAsR8kKrccORzxV0wSXbFzPsn6bQ+qO4yqPBySsoM7u43Vtqjfb0pWQqncEXmty8dBhATVVZ7Mk/7SwFjjaGkuoiBp0GIDWrpKK0UK/TaXX33vYJqXn7T9w8GZseMCYSQGFOStzlYxp1t+rqaNSqk/s3Xz/6TZivcNZ4T6W8riAnNT8rsdUg9uM3x15ICNFpMXkk3lqCF2fDw65njz15JHJKkJjTs179QnzW2rWJNyrMiodPGxN5JKVIuGlrmVhrD6HXgz/cIbYNZ2KA2obBdmKwoVCg1Q22EwTCPxqygvU4UpnCqEpJuOPimrQvx3Siady5ipRrrqZ0YWMuBYChHQDkXkLKQQQsNJYXMCcs56ZcKiiuAZ4ZZM87xss/9Mj20x6u7XyWS6XyBgVj/tLnVUo5g8EAcHjnl2OH27k5OwHwcbcDkFNQGuo7be7k502FxvX1koysAlAoKVm1AePmzZ0W2DpUemKsm5k2ZuuFgPClTu7+nfiTnXbr9uX944NdTYx8m1uWzg7dfzLJ2SMAgLSxIWbnpgxx0Yx1K2kBrn168hdn4+u/wGPD1aZP4/SIw1chlsDAoa3S2PXreVVVkk8+OdasK/bZZ8ebNcMsDFVBDgPnWhfo9Yi7g6mjWhsS0wrVGs0IX6d+ObXwt8FEiFoJLPp/15tAIHQTsoL1GKIR2JbwA7JiPqli2FupC0pvnuSMXppTIlaL7BCzGpWZEOerS1LkTVJNSUq9S1TF+T/4gc+NXf7lYDveGRQKBdT2364lFXW2jsOkTQ1ZaTeryvKLctPmP/tB0p37ahILeNzMhAsGQmMAk+a/CtMwmkXEguf/7eIZ2NbM2X1EYmY5nYbGhs5q6ybdPFOWcWJhZKCJ0b1dGBaTMXO894ldnx7c8e8L+780EWhCx44I7mN01cwr8/DHGYgb+2Gojiitxjs/4nY29Hr8Zzf4LZIQa9bEKJWaZqWx+PiiL788PW6cm4eHxebNF1s1w7w9u1c8Z2DYdxGzQloT16qqxdVKkbHrlIOnbw+uX4MAkw5dN9RrCQTCo4GsYD1uXDy8pbY8x6top7+1k6GyJJs/zp+TWJN7mmFpri5LZNq44MJ/wRIwhBbQyqUZl6q1fNro187fuMaMv+HClXnO/YRKH6rvCko76d5qtSYtt9bJ0+Xs3i88ncxt+PQb53YteO7f5va+NbX1JsaiZjNzU8Pxo3D7+olxU5+wsHaw6EDt081nlOuwILmskcvrMH8lM/lqRXbslDDfh2/xeZxZEztb9+olVAreXIQvd2PdU53lQvWFXWfxryU4cQN/nMEzkS1SEUBbpTEAxcV1rbpi48a5NWuG8XhMdKPMzwBBpeJuiaQTF+KNhQZWdmMNDE1ZzME7KzAoXEgEmwXqP+ypCYShxFD9KCX0Cp1KOjzutTojHxqHaRr9c8rBL26Xa/2HL7cpvZqkt/ITCiFvhFYFBgtMHmPYFKFazmMK9akbHf3nUOxHqI9/mrfpjGjc6yZBT3Y92YAjlSoaG6UCwX21e7PySn1Hz0i/tm9eZMuukFqjSbpxxtE94M7tv1oDrOKymhupVTOWvtnlLBQKpZPo6vAfX1mLtO1GV48WPgczR+PwVUT13zHPJjmScnA1FUI+9HoYG+CJSXhiUluTtkpjAJ58ctSpU+nNumLBwU7NmmH95k+/MCsEn/0Ob8eCoopT565Nnr5w5PCwwzs3ThnjNdiePQLOxCElDwDUWtCooAButhjuht1n4WyNF2dhx8XBdpFA+OdCAqzHCiqdqV3wl2zPizz3iQwjxyoV1ZhaV5YWZxP6dH5mtZ8iG5JSgAaeCVQyeEXi+jY6tRw8IYpvQS1nhK5wNnb5f/bOMy6Kq23j1/Zld2ELLL33ImBDQLGCvfeWqImJ6c1UkzdRnzwmxvRqihqjsWuiqNgLIiIKSO+9dxaW7WXeD+ACioBKS575//ywO3PmnDMLMvfe5z7XlX/kMxP/RUwWu/vx+pc5qzZEndmrkuaMHekqvCuA6e5sc+5WDIXeppPu7mR9+kaKf2BYQZbTicgCSV313DCfqlqJX/CMqHP7fYZNsHZ4xGW7orw0c55quG9vrPo9AiM9sWUvZgb3jmhCRhH2nMPs0Xh1EUprOu3z441hYJsDOH78RQBz5vgDWLRoOO7qimVnfwwAirJemE9vQaMiyBsbf8+aNOKV939wchsil0mpWgmT6TDQM3t4mmTYGQELIVaE3Xv8u78gkcLBEm8s6XDqTg4uJ+C5OeB16RxAQkLS95AB1r8LKkPoM93klfM0sUfp+a+82FVFtbU0r4AamFpzGojKUsrIZahIx4TXAUCjgNsEiJwgrYJDAABolJSE/eZjF586+PWC1RsG9lbuh8M1nrroRY1aFbHvY8NKHINB1ykkbv4T45JjR/q5AtARRH1txaVTu0NnrQEgbWq4Ef71UG+7Y8d30SgaBpP1yAFW4o1TM8c+QBS0fxjhgfRC+D78HLQ6HI2EmI8Jw3A8CvVSFFbg7eUQGQOAi3XnV0mzIe+wc1OiVPJZLAqFAmW7ozrZQ8+nTwkbqU7MZdXqnNyGADh/9MewQPeBntPDoFAhvRAcNvZfxFvLcOI6csvgatN66udwsBgY4gQWA9MD7712mBuGDdAXABISko6QAdY/mKqKYiaTdeCXzUMDJ4wOvftFlkKhiT0AyDMjOESj0agXclMOD7HW2Iyc11h7QmDqDO+Z0CjAMEJTFQCI7CG6qx2gVYDKMLZxD5QmF+xY5PTM0QG5r65hMFmgthnkNTXLGRxTRzf/XI36xNUEKqFWqrQcnpBGpcVePc424vkHhil0RnxjLpPFWrjmI6GppeHaqvLCm5ePzl7+BpXWTamKVquJuXxMxNXSu2vZh2h1uJGCDT1evW2Q4lYGKupR3wg9gTljUFqDLXuxcByKqjDCvTW66gJlZft3VXLlc5ei1/i4zXPukdiEWq1RKFV8k/4228kvqoz38pq58GUApQWZ5nwtr2sjyMHBc5slufmNNdVNvt6WSjX/wO6VzIkvgkr5+pzFaschH3180cyU++oLE0WfzQeVCq3u62+urqZ5inT/e8X7JCT/EMgA65/HldO7m+vLaRR9WUlhfaN09eJJeUXZUecPB4+dWpx5m6dvMFcVYvTbfDRpCUrgtKeI0CUUOiv/6xDx5HUQWKI0AZkXYGIFFg8VqWgsw4gVrV0zjNBcA8DG0y8n9fJA3mQX3LlTX1cFtOYkKirrJXVVO79+y9LSanjI3Nqq4qFBU7d/ss7RbWhDUTTfVnx8V2STtHnv3+UTZ61qH10BuHn56Cgvk33fvz5x3su2jg90rCvMSbl1aX/ICEdrr0dytWPwR8+/fencc5HX8t99/3RS/Pr/fnLJw0O8eOFDFnLVNmKLB3TdaWLlleNEFPQETE0w3B0jPGDGbz3lbodJwwHA51EMgPksxjCx6QhxT/cMVtdK9hy96u3pbm/F8/V0YDD6469NdFw2wXNZ/PzLLW95AlFOkcTfU9GN2fYg4JftSy9dK7t+PXfjxlkrV+58+Z3TdDp18+bZPBMuVSgCk8UVmVBNBDduV+zeHePlZckTmVCbVEhIxp0cqDUwE2BN/3qBk5CQdAkZYP3DSE+M4hHVEye4A8grEv51+jo7Kja9UuEjvHin6KSn6k4Dxym3qsDec7HF85dAY4FCoTB56YnX4TWDSShx8j0omjDlXSiakH4WHmGIPwQ6C/4LUZGCtNPwmdEyEJVGVSvlTDany+kMAFe//zjAyrZBIhUKjAF4uNp62Ih/O9KgUSupVGpxXqpM1iiXyx3dfTPuXDQTKaeO9Yy6mWrpOcXVO+DevvRaK3ORm5NVZWlupwGWRq268PcvApZ08Yzhj66iRKGPHed5O7H+7MUCMzG/sg4xt0qnTB/29HN/s9mML75YtG9fbFpahaenZUJCsZeX5RtvhOXl1WzZEtFyduvWsx99NGvdur27dq3+9D/RG5568P/Zi3G4nQVHS7y0oC90zNk02sag7vdINjXL8wsr6xrlKrXW1t5x3tqPi/LSzsacpWgaZkzwo/al686dtEKuVcDQoNY6fb1ef/3cPlsLHtuI1XeD9g5aXXtxVAqFsnbtmJoa6b59tzIzK2fN8gOQnFyuUGj++CNmwgR3Lpd16lTyrHEWAjYTz80Bi4FjkcgoMmz/JCEhGXDIAOsfRlr81UWTPVteV9XUL5c3G9fVhDlSHbyGU6EHZYpx1kWZCaU88azjpFa5doLQp8WeXjzJHTd+AdcUcz4DACFg5QsKBU6jUZEKRSNKEhD2nmEgI76osiDZ3qs7v7z+RaNRn2U0z05J4uelCq3NoNYCAJ02RaGODxpp7eCxzHskAL+RoWbmNqte/bI4P+PyrQv+Y9e0j5+unPq9qbaURqfX1tRIpVYKtT7m+G7fkRNZHaPJkvyMG+f/mDLGQyh4QIlSjwkN9YyOzs3Lq3nhhfFnz6bK5WqlUrNu3dg9e25euJCRlFQ6caLH+fPpLQ9OlUpbViYxnM3Nrb58OfPs2bRr13Iqq2QAv5MBpHJ8fQShw7Fh5WNO9TEpq6j94+hVb78gvshGbCyw5/KL8zNFYmtLe4/MlNsZuSU+Hn0YAZRVNsyc2lYPfifmnLct3dlhSN+N2GucuI5nJwPNhgPu7hZMJj0+vviehs88ExIXV/Tjj1ddXc3BZiKg9a8BnK1RVkMGWCQkgwcywPrHUF1RdOXULnc7niGVMtrfBTt+wf+tcko6Drk1ss6DbQybYZy8qIqCZEcAAEHoI39aN1N3HRd0CHgC4nbVvoaUjKUPUsKh1UAhgVGrrgEvYG58XtZgC7DodLqp2Fo6LSSqLHPZ7EAqlQKNFgy6AyBWKC+d+G32ivUALKwdAWQkXs9OvTF14UtsozZlh6LcVLa2YmKoF4CoW7qdh694Dhm17p1v6moqLKwdaDQ6AIIgrpzaTVWWLJkxolfkv0NCXDds+Ds42DkszHPixK/CwrwiIlJYLIZardXp9ACCgpzt7UUtD87gYOf2Z6dO9dmyJeLDD2d+9FH4hueHQN8EarspaXU4cAmVdXhlAYQDL9ttbWm6buVkEIRG16xWN+hkuoZqVX680snWzC7QWiToQ3c8rVYrkSoNP6+kWxfLs6NH9IUsWV+QUwomA3f/UxIEsWDBdqGQu2XL3G+/7bBYHxGRWl8vEwo5dPrdXOCJ68gpBYWCF+f197RJSEgeDBlg/WNIvnXJ1ozp4WylUqlZVQ34Mxy5SXhuCZRNAAFFA+ZsReQPsPSm1OZ71J+vubVPPGqlWqU0RSXHezzcJoECyBrAMwNAEETVqW+UGh1XL+W7DWf6z8Wp9yGvbw2won40KYr1pttj1uoBvu2OUCjUNS//9/jebdMWvngu8s/pE4eiXWVPVUVJRUkuX2TB4RoDUMhlTQ11tVWlhvSVTqeNubBv6czhLW/HjvIc6mUXnZCXfm3XnZQsuVwVEDBh2NCJV6OPj/QSONj0mnISh8Pk8VjTpvkIBBwOhxka6nn5cmZ9vaygoO727cKWNoYHp5ERQ68nDGdffz30/fePP/XU6A8+OD7BfyK2/YxAb0wc1tr1p39ieVjrFrNBAIVCMRN1lmN7eHR6fXlFrZ2NeQ/bn49Km75sveGtXqfR6fWFxZV3MsroDCaNorO14Ls5WxuxB99yYVkNrM0AhIZ6hoZ6Ati3b61araVSqXQ69eefVwL44YflLW03bpwlkcj5fCMKhQJVHcLToVDjrWUDOH0SEpJOIQOsfwxhc58uzEmNTIwszI5/YdxQZOdiAReVp+H+IkavQ22uLmJzrZzGqKoQVWcKtZqq6C8xaiWLzclh+JklhssT49lBy9Q393NE4lq70Iwi2eiRr7GvflQnHsp3GQcAej1EDiAI1BWgMBZ6rVBbTOj1lAcY1AwUYkvbZ9/+DkBVeXBmbo6na6tDn0KpGu5leefKbgBKLU0PBkPX6OITaIiuGuqqL5/cPXqobfuklLExd9p4PwA+7tY/7grnNxfEPPWDaukUEILenXZk5FstL6Kj3wEwbZpPY6OCzzdSKDRGRgx0fHBu27aw/dmyss8A1Nd/DXkp3luJLw62BVgc9uCJrnoXrUb7+6ELw/x9po0b0m2BvFyhpHKsTMVtH8Ww4Ok+wyemJUZNWbaKyzPRqFW7v3+fQqX6eg6CRTQ9gchEJOWhVoLXF2Pveby6CCAAwtCE2So9T9x/tYBvBAAEgZIqFFRg6aT+mTUJCclDQQZYg5HUhCgjrklzY52VvZu5Zau9sV6vz8uIVUqrn06LQUYslgdBm4CZH4PQI3Y3fGbmZua70lJlqSeg16l1BL85pzHpL77/gpDxs4iIs1ZPHstKifF68Vp1+NsMimDRM+9cPf2H6/jXPa3vbgoT2kNShtxIcESY/C7yoonChNKiTDunwSiBXZSbkpsaPXm0q+GIqZBvKmzLnej0eplMcTuv1b/vTszZ6rzosACXB6kGmAr5nu4uCXX6uQ4+6qlrb17Z52Db09zJo8HnGwFoia5aEAg4XZxtg8lAowx8LtIL+9UBun9hsZihY0eIPaYfPXdkwWQ/FovZRePaOomVg889B5ks9rDA1oL36IuHp41x6Xk+rJchCNzJgVYHNhPXU9Aow8RheGkeKurwxUGEjgCHhcrznV56saQ8zO5uFaBchS8PYpgbpgVCrweLgeWh/XcXJCQkDwMZYA068rKSLp/4eVLIMAGPnXfzZlQD+CJzNseYSmNacSWhw3yRlIQnZsBShCpPnP4IGhrsxkHZZKtIv0oNGuemRl0uq6FYrqbUxezm+y8wdw8EbzvMHIZNdABgv2w7AL1eX1+Zbes3rG3gsS+iMAZDF4FhBACWPjSb25pjq7Sv3aAzunq2DQiJN88yqDqtTv+gBjQq9fz1zOkrNuh0WqVCXpx+be6U4V33uWT26No6iZZP0R/4ysbftevGD4G6HmXhXTe5WVEVYGFOo3ZX70XoAcCMj7wyRKcirwzbnu+lWQ46lEp1SYXEL8xZZOFU29BkY/lAeYiL19NkOu6Emb4PalBXU34z8pRZaIDdgCT7pHJ8ug8Th4FJh1SOVVPbZNbtLbD1uS4uTalt2HQzqUauXO7hDAC3MjAjCCNakrKkzyAJyaCGDLAGF1qthi8U27r4m5vyzcVCB1vL8qoGKoWg0aRRt3MchzoDwCtLsW0/PlwNCy9wbfB7MoQxmMfnjnkyNOUEqtXQa4mAVSnXol3oOgCg0GBzr+JzVXmhvfh+ZSACSX9j5AokHUXhLXpzjaOeyP1uvJGpne0Teyj0QWSeM2v5G3q9/vz+/8yc9MAqZnMR79KRbXQaRaXWTh13b3qjU8xMBZgejM27HdfO6r3JEtCruzhdLlNsuhm3zNVxjU/PNLjH++Olr7F/I5h00P+dT9nE1ILU/HoP/8lXT+1xMtfb3M3j3k9BcSXfZkTYuK5+XoSeCBru5eXRI33U3qReit8joNbg3RXgc7tvfx++ZsKtY0aEWN9NvJXXtq0Ok5CQDG7IAGtwUVaUvfv7DwQiMW1o6/Y9awthy4sF0wIAgM6BkQArluFwLMICwByL1YHgGYNNB5sFvydh7oaUcL3XQudardn4lw09N0sbDv66eckzH5nwRQBEfGNZ3hkM8+wwPMcMZcdRlw+9BlwzaNVUsYv7yCdkUTsLvg91fu44OOJ++Ri6h0aj02jQU7pKrY0LfCRdUAAThuJyQqsmZ99jzTV6b4Rv20O0W2zEWDUN24/jzaV9Oa+BQavVRt3KSMuttbcy4WszPIYKTYwfGJoQBHE7pXjBM10lgQCYWdg0yEDr52pChQpfHcKGJ8B9rG8mHX4xImKRX47CSnzwJA5eApMBnR6BXhj/D9ksSULyvwQZYA0uHFx8Xtv42+Ed/712uzDQz87aUnRvC7blf3+sjIys4XKdLLLVn3zypqlp6+PniSd27dr1PJNJh9P8114+sGHDZ1/vj1u92lkk4gLgGQv9fZwbG2pbAiyWsVjPs20szePburR1nhuJOZ8ZdopDpwKdDYA79S1qdlbRwZccnj7cDx9Cz6HQuUnp+QITjoOtZfetDRi7wahLaavF41FYCfOOfVZf67TiuFeY8FDzB7BgHH479e8TllSpNWeu3DG28ne00cwK7SbAbZLKTkdmhkx7mk7vXlWVzupfxx6tDtsO4JWFjxlddaCyHpZCvLkU639AZBKenwuhMVLykVGEggo4WfXaQCQkJL0BGWANOkz4prb2LgppDYEHFhi9++7UsDCv3btvHDx4m0LBypWBWVlVlZVNL798sMVeo6UZj8f644+YysomqVS5adPsBhkjwLFNB8tp/hbJrxPlnmPUkmqBpS14ZpA3tIljUShotybo6O5xvbJBl3XH2WNQrFDImpvOHfuBRqVF3cqh02Am5C2cOaaHmlXv/Sc+Pfe6QMDR64m9e5+6/6qXXz6wYcP0wz/FrV4d3BKeAgCFAqKvAqxH4ekZ+PM8rt7Bc3PRbfHWP4TIm2nDJz19J+b05NHdb624EJ298OmNTFYPI5h+/NlV1GH7cTw9E3fTz4+CsSuYHcvOJGX4Zhy4RvjYCYblTn8fmNWAx0GLDVSzAjUSUKlwsAAAo6xHnwAJCcnjQQZYgwudTltenFddlvnkwgndrmiMHev28cenfIy7/QAAIABJREFU6XTqokUjysslcrnaYK/R0iA+vlguVz/33LiiorqTJ5PXrFnX/nKGmat++an6iNcVsiaBnSuKbiHsnQcOJq8L4eafijlCpdIc3R7SRK8PSEuIDB5iamVuCrgAuBydfPhk1JLZY3sYY3300awRI+yDgrbKZOqmJsWXX15obFR8/vmio0fj09Iq6uqacV94OkDbzx4MjYrV05BVjM/2462l6Benv75mYvCQo+d2C8zs5XIlx6iryEml1nAEVj2OrsA1MSsoqnBy6Ms0T2kNzt9GYzMIAh+seky3orWvxSxdOX7KFO8XXtg3Y4bv7Nl+8L27Y3RYu7QlB7Dx6vC2/W8qvb+dtklISAz8G/4o/5uIjQyvyb/h62FH6cH37bi4Ih8f6+zsKp1O39AgxwPsNVxdxTKZKienmka7tyDawtFX+9Rf5T+Mg+cU8G0Q8REmvQ2dEty7tVbpEajLQ3Md5PUIWktrgtDscX1jHgG9Xl9ZWlBamC6pK7ewdvYPnExnMHRanaHBpDF+txNzj5+Jnj8jpCcdbt58ismkqdU6CgVbt54NC/PKzq76+efIsjLJxIkeV65k4b7wdO3Uvrq7x8LDHstD8eaP+HA1xL2s3dX/MBh0Tyfhjfik6Xf9BB9EbkG525CJPe957LSVJw9+T6FWOdpZPN4c74MgkFeO0zFgM7FoAkx7R63+809C5y0PNzZm19fLZ8/2Ky+X3PM1YNo0nwsX0luOfPrpmW3bFoaHJ8lk6gsX0ltcLPfsuXntWo5ez5w6dZ65+cCr/JOQ/K9BBliDCzabI1fqLcSiLjxxKRRs2RKxc2e0SqXdu/epEyeSXnhhX25ujYkJ22Cv8eOPV9u1f3BSh0Kt/WmsScBcALDygclruL0X0ipo5KCzIa+HeyjqSzDlPbBMQKW7J+3SS8shfOCG+d5FpVKwWEYVJbmRJ7e72IntrIX+Nia3Em8ez00rzk329XSwbVf/GzDUNWBoT7UVNm6cNXKkw/vvH4+Kyi0oqCsurmcwaE5OZmVlkqAg55YAqwVDeNrL99aLOFrCyhRV9f+CAAtAY5NSKOj+RgpKG6ZPfIhMKp3O0KmkZqJeTUQWVODgJbAYcLTC6mkQ9Ga6SCQ0ev75cYsX/3L79vtAJ18DIiJSDEeampRpaeW7dkU/99w4g4tlYmKJi4tYq2WcPJm8du2YXpwbCQlJTyADrMHF8NHTTITiKxf2D/ex9XHvfGv6Bx/M+OCDGYa3K1aMWrBgGJvNAGCw12gx1mgx2QAwZYr3lCmdF7XoKDQagwEAN3dhxApISmHugcYyBKxEXhR8Z6O5GmwBKFQU3bILmlL412vC16/06k13jl6n2/n1u+ve/CLu2vFFM0bR76bf/L3st/1weO2KqTkFFY/c+QcfHBcIOMbGrNGjXTQa3aFDcbW1zZs2dbLVv1e8CPucDU/g4z/gZN2bJdUDBNeIJZPXdN3mt/0XZHJFi3FkD7kUvitoiCWPe780ySNBEDh5A6n5eGdF3yllLFgwbM+em1ZWfAD3fw3YvTvGcGT8ePcff7wqFhtHRma397gUCjlyOUWp1PTRDElISLqADLAGHa5eI1w8hx/d+Z/8kmQ6jRjl72QqbLfooGlEc949l7ABNANAQ43ExMKD/jCFFwSdQ6/NAo+NnKuQlIBvBWsf1OXh6nfQ66CUoqEEeVEFcdeU0vpcnZ2lOb/+5k5R0NrHv9N7Z0IQ1ZUlTCa7JD9N2tTg5OY/PHBiTnocCA293eKmiTF349urGHSak8MjLlZu/c8E8JwNb2fP9msxgONwmEFBzrjr+3ZveFr616PeWb8Q5IPsEgzrmZLWIKamodnYuJsMlqWta0pSQk96ux15orIkkwC4DJVdb5lLNsnw+UHMH4s5HdJCCqVKryeYTAaDTqupk1RVS9xdbJjMR6/EolDawvt168be8zWg/ZGgIOc1a3bv3Lnq5MnkezwuSUhIBgoKMRAbo3799VcA69at67bl/zKp8Vdz0m5pmiuXzB7dk/YRhaXHbqd/+/yXPE4n9RZ6vZ7aWdW84r98Iws7SEqhlIEK8CxgNxySMmiUENqDzoaiDmo5Jr2D6J91edExGk8/F3uT1Scf9/ba0VBXFXXuAJ1hVF9TRmcy2HQ9jdBairmOtmbZBVWXriUs8nL2nn6vVuqjQ2WB2omAVrFUKmSxje95Iu6OwJoZAKCV9toEeh2CwCd/4rk5MOsdo+UBJK+g4vDpG+ufnf0gb5y6hsa4HE3kxROfbD/TRT8EoVerVb9+9gqXy161cCz9vgJEAHqdvv1avLRZHpOQq9ZRdVoNg07T67UMBp3DZpiLeA52FmzDfJJyUS3B5JGGC9Oyi9Pz6oxNbTlcvqSuTK9Rmtm4W9l7JkT97e9u6v5oAgqmgeB0yGHL5WoAHA6ziyMA2rtYfvvttyKR6Mknn3yUCZCQkDweZAZrkBJ3/SQhSZ8V4sBgOHffGgBQIpXVqNS0zmxtVBWpB/ZvFxKNk5/5gsMXAxRQqACqIrdzdVpUZoLOAo0JnRLKJuh1ENhB0YCyRAQ/g+s/wUiAjLNorKD5TPevLLwlmN2L/meVpfm11SVuPgE0OiPpekFYoJNQ0BYgik0FQ70dGN//hV4MsPQq6FX3HJNptO9FRrsJTDYHddShKC6EqhEPLokbFHxzFPPG/guiKwBODpYjfJ26cB68lZjvHfKETv/Ab4Yajfri37+omyu14Kx79/vw3ZspFEpBUUV5TROAYT4OLfsTbyXmFNcQTDoBncKEx5RIVWwT6zGz3zA2adNWUCpkarWqojjvWkq8Si4l9BoKCLpKaRGfX84WqdVaAFQq1c13zOLQsffPxMXDP/bK8VOX46aO7dKvOikXWSWgUaHTQ6HCWH9cSUDKb5gQCHdbuNjAmAOg1aiyXZzfIG024xhB2iF25ANQwghAWhUy4zG6m+0CJCQkfQSZwRqk7P9pw4rZIx7qEp2euBaXOXTCOqHpvfukNOEvZFTXu/gO05z5WCb0y+EFSuimFE2Td8kBMUPB1Ck4bAYoBEAFhY4JL6O2AFo1SuKhkMB/PgpuYOpHoFCgkUPReDOz1sHe1ypgUa/caUVJnrmVg16va6ovNxU+YHGzpBp2HcuTFZWQ9rLGz+2qWntjngWnYxlTXhn2nMfmp3p3rN5EpcH2E3i9d34cgxmVSn05OrmmXsYXO8594s0HNQvf9/k4fzMB3zj8Srq5nV9O0kUTka2LzxgrexdCT8RcPAC1RE9QzB38g0NbPzRJQw1fYEqh9EkY3VBXdf7Y9wHeFs6dikTUNmJXBOaFgEEHjQoGHUeuYtIwuNvhTg5oVNxMB42GtTPQMbfaoFI/czE62FL81oghbUcjE1Feh1FeuJ6MrJJvnZ1FrqPJDBYJyYBABliDDoLQXwrfJWY3+ns/tEh3cnoB33Wmg0sntSZFXwcqJRWV5qNDjPJpk99BzmVYDWkuSuOmH1MEvsgxt8HJD7D4B+ReBYMDaz9kXwTTCFo1vKbj4mfwmwfzVucZQq/PPf6z22uXO53D+fPpy5fvqKz8nMHoqvj32LEEX18bd/fO98xHReUkJ5e99NKEB14vK0R9XBf99yaHLsPNFsPdu285IPx1DV4O/zJJ93uIupVeUdWopxsX5aa6eAfWVhTyhWbzV7/DNurgokMQxI1LR5qr0qeOGwLgWmyGZ8gakanFgLuVEwRxO+pkcVbs2JFOFmYdK8wUKuw8jZcXdHV9cRXCo+9vc7qwNMhSbMpmtb5vkmHHKSycgJ9P4JWFsDb99o9IkcMoMsAiIRkQyCXCwUV+1p3w/d8ITYxGTQ+urqkPv3gnZJSHp4tt91cCANQaHYPB6vSUxnMJvSFtvK0JyuoAIOEwFgTzym9CaMthEog/AJcQnP4/CO3BFsHYAj7tttSZOqOd0wiFStXrtQ+aw549N5cuHRkRkTp3rv/PP1/Lyqqsr5dZWfGVSu3mzbPT0sp3747x8rI8fjwxIMBx/fqwe9R9Jk70OHs2ta5ONn68e15ezZYtEQZRnw5dvevff+thY3wRkzZ4A6ycUiwYN9CT6CnFpVVZ+RVhY/17uD1TqVKnZhWnZxWteOnzuprygtz0nIyEta9/djViz3cfPzdk+JjQWatZ7NbVs+vnD9jy6p3GtWZ0TIWcytJc8wcbRfcbFApl1Lg5I0NmHdmxaeY4VttmxvI67DuPkZ5dXg3YW0DZiV/4zMomHIsGjQa9Dlo9YlIxyhsAPiW/u5KQDDy0TZs29f+o8fHxAEaMeLglsP8FKssKcjOS6Qzmlai4zPwyC3MLDptp3TPDDb2eiIovCJy06N5HF0Hk/rZIWZPWKB5qpKzlyEqRfAJ6AoQOJQlwDkbONRAAhYraAhgJ4BmGyhSI3ZF6Ek2VEDmiNg82/qC2ZqQKLh9imPsYu0+S1FfTqFQaoQGtdfFCIpHv3Bn90ksTfv01aunSkTt2XJ8926+uTubra8PhMCUS+ZEj8RMmuFtYmLDZjLlzh27fHjlpkieFQrl1qyAnp3r8ePe//rqzceNsqVRJo1GNjJijRjkmJZVSKJTr13M7dFXX4GF3bx1VX1FeB6kMD1DNGGBqG1Fa8w/aPMg34ZWU1fx9JtrPy7EnO+x2HLikZVpa2Xvcvna8NPsGj8cj9OqclBt8LsPExDgvM/FSxOHc9NsMlpFGrcxJvDB6ROtHkZxRVFRHHTtleR/f0ENAoVAc3YdFX41wbfGxuZyASwl4YR7ce/ANKr8cuWUd8pSx6cguwfNzEOwDcxGiUzAzGEHeSM7D2VhcT0FCTmxGqZGNk39AQF/dEgkJyYMhM1iDCIIgrp/bv3hmgK2V6SNcnpJRGDBh6f1bBTUX/y+ropE7arW3s1PV2Y9M568HgKyLiD8AJgdyCRQSBDwBSQnELlBIURgLhwAceQl6HZRN4Fsi6yJ857T0VlvfWKK1Cpm37cDPGxwsjemNRSJJBggq2z3UftbGQ4fiLCyMz59Pz82tkUjkAIYOtYuLK3Jzs0hPL1eptM88ExIXV/Tjj1dHjXJEZ+o+O3dG29gI7O1FlZVNEREp7UV9OnSl7q/oCgCdhhpJ/w33UFyMx8Q+c4eUq1BSBVdb0KjQE1BroCdw4TZUGiyegJR82JlD+NAS4RNG+woFxjsPnH/1mbktRwpLqvV6wtmhk/Xi0BBvCoVSXVe2ZJp/o1RmIRY2SeUsFoPVGpwFnDgXJ3IMOLr7S61G9dFbq6trJZn5lc0yudBmxKxlCx/r9vsAnrFAraUDQFoBiqrwxuKeXvnEFNxIxSd7ETwE44fiWhJuZ+Dtu+Ejkw5fZ8wfCwC+d7fFNCtwIBrGpIY7CcnAQAZYg4Ibl45UFqWKLFx4PKNHi64AFFY0zZ3WybOW4b9s5uQtAKBV6FQVAIHKDLBN4DMN5akwc8HwxTi3FU3lmP0peGKoZbj6DXjmUMvAMELMLsz6L7TKFu9nkcBEz+HnfBkUNmaphZ0D4AlMBZB743zkoU+PHGEfP/4ij8eysDA5ciQe9wl1RkSk1tfLhEKOs7P40KG4+9V9VqwYtXz5jqqqpiVLRur1RHtRnwHT/HS1QWIObqRi9JDuG/czpdVYNqlPej50GUZiLHkWKk19nUwk4oCqgV6P1ZOh16NRhqEjodXBVPgQSpuyQjTnAvD3dkxIzjl79U7QcLe8wqqT52OeXzW9fcO8wsr6BmlVfaOOYSFky8aN8gDAZjMBmBhz2recPG5IYnrm6iWhlhYiabMsOkUyafbzer1eaDro3CNbodBwIQ6XE9rCox4yeghGD8H2E4jPQrAP3lrWdsrOHCXVaJSB364ojWeEx1DhIiEheUzIIveBR6mQ7f56vbuzFZ2qtzQ3dXexeYROmprl1xJrZy1f31Ujvfb6z0+HGOfDygfOIWAYQaNEbQ7EHri+HXQ6aEaw9ACViZTj4Jlh7AvIugTP6VA14czHENrCNQQaFdLPYNgS2Pjf031qZpHtiCcEom683iQSOZ9vRKFQ1Gotk0m/X8unqUnJ47GoVAo6ivp06KU/i9wBNCvwfzuwdBKCffpv0J7w5SG8ubT3u424iUYZnlpZqfN7551jDAatqqrpk0/m/fRT5ObNsy0sTAB8/fXF1auDRaLWJ/o9bzunKRONqUVl1ZZmgpyCsiq1tVreVF5aIOTRFkxrKxgoLq1JLyd8A6ZwuCZ8odnJPz6aGza0J7POLSjVCoM9fXtP0aMPiHvtyZFj3RDYS6qnBiTN2H32ns2kZJE7CckAQmawBh62EXf5C1vOHfuZopWMC34IezUD0mb5qctpC5/Z1E07Cs2j7gKaFRi2BAwjAMi5AhoTVr4IeR4ZZ3F7H7IuwMgEAlvUFUKvReweWPlD0wyOAE2ViD8EljF4YhC6+7v3drW9dC188rxnu56FQNCagcjNiBUShRoOMzmpxMHRX9+Ua2ctOnzi2uplYVRZa6k+H4AcRjtO4ZmOPjb6/nX/4Bnhy5fw60mYC/BIEXCfUFGHR813PpCiKpy4Di4ba2cC2L//1qxZvkuWjCwpaUhIKAbw4YfhDAZt06ZZPB4rLq7w6NE7Xl6Wb7wRxuOx/vgjprKySSpVbto0WypVGjYo7N59Y+XKwKysKnlt6QRf3IjL0+j0OoIpMkV5UfrCGcHmYpFh/GuxmRqW9dQFT7UkLFMTrnk49tT7sqSyyc/Lvpc/kN6mPGAIAl16v9+oZDha9n63JCQkjwoZYA08BVmJSdcPzZ3g24W44j0oVWqdTl9VIykqreZxjBzszAgKjcXqxmet4tZhmWOo2NsLFangWyPrPPKvY9Jb0KpAZ4ErBosHvRamziD0sB+J2D8xYzNS/gaFjvGvIOIjWPpgzHOoL0DqKdCYMLEC9+4DPuonamU6U7iy5zdemBlvNVT0RuQ1fU3zyITbTnaWZy+UL509zoimgbZd/KQnUF4CbXPPe+4TaFQ8Owvb9uP9QZMPuJPTy+XtdU3YfQavLTL4FsfGFixZsgiAnZ3Qzk545kzq/PlDJRJFeHhyfHzxtWs506cP4XJZKpU2Pr5YLlc/99y4oqK6kyeT3dzMDa7DCQnFixaNKC+XNFVJG+ykFBpz+uIX//huA8eIYeHgm1tUzeNxGHS6RquNjsux9Znq5d9qXaBRq9Jun1k6o6e7YRrlFFPxI8mm9yN6jaz3O70UD62utQaLhIRkcEAGWANPdXk+m8Uoraipqmuurq6dOTmI0WVRy6lLiUYiRxqdqdUY8W2CLO1cMrPiQ+d2kzcqL8opjDkYPG8JaAyAAgBuYSi8hStfg82DsQUAhL754RGnqf52IcG2oDHA4kHRiCEvgM6EXoc1oeCagQJYAS4ro64XJF+veenZABA66LWY86eWzhml7+lvlF6nU0orhRzr9UN9HE24bJ0+M7fU39vJ0b7jCqOewGf7MH9wyBDQaTDqXAVjYHCyQmxGbypgvb0d1qbYdRoCYzwxGWzMmuV7+3ahra0wLa28pahu+HD7xMSS+noZgBUrRhUW1v3449Xg4NbCaldXsUymysmpbr9BgUKh6HT6hga5XKa4kd48b83/sY24r2/+nU5nfP7+E1XGxjHxOW5eQ7kmAq/g5bZObZoFEYe+mT62OwmDu2TmloI2mH46nVFTVSoW9MEkXWyw+wxUGnjZw9+19/snISF5eMgAa+AJnLigvnb00d2fM6mquZNH3B9dZeSUllU1ho7xPn8tVQ2O96j5Lt4dvtPbOXo8qHOCIIrPfhZfqTIzoYXMX0HRqZB9CfYBAEClwmcGtCqYuSJ2FxyDYekDFh18O4hcAeTl1Xz5ZSyLRd+0afaBA3cKCmpbVn9kMtW2bVfq6mS2tsIX341sbfDnbUMDc/PuNy5FXzoyytcOwCjL1gWgUcM6uwupHCrNIFLRlCqw/ThsxPcY/Q4MXg5IyEZSbu88U/84i7ljMDcEAAoq8MmfeOGp+fNnz5370759t9Rq7bffLv3ss3PttxpcupSp0eiEQo6hQs5wtv0GhYkTPV54YV9ubs1Tq7xmLn2lpUH0xWNXzhxSyJtt7Z2nL1ri6HbvBgK5rImJZhPjLou6DDO5kSawHTXvyendNx1Qkm9dGOneB0vMjpbY9BRKa3D4MsRCWPf2wjEJCcnDQxa5DwpS4q9GRvxpZeNwK+baK88utLVqKzrR6/RXbiTTTYc0VBYETFho49BTucvG2vLGPxdSNc0mxmwTyMA0gqwWJtYQOsB3Nuj3fY2++TuCnvrwV/rUqUNCQlwBPPvs3o0bZ926VVhTI71zp+TJJ4OKiuoUCs3Vq1lbtsw7dixh/fojJSVb72+wdm03wUd1ZXH8hd+mT7i3TL4T0gpw7Bo+Wt3Du35cTLw7yYI0ypBbBjoNvs6Iy4LIGBQKqJTWXVpcI9CpkCmh1kBoDFkR1PX9NFsAegKfH8C7K3qhq6378F67FV6CwJUirH4LgFSqNDZmd3qRYcvC/afab1BQKjVsNkOtUjJZbf0oFbJ7pNjbE3n2zyHWKlNh94KyRWXV5TKL4NBBJ8pwD9KmhouHP58/dXgfjiFT4tdw6PSYEgA/F7LInYRkACEzWIMC3xEThgwf98vWF2dOGdPQ2GxlIZI0SuvqmlJzqwmakbP3uGFBUx6ux/yLfx87smLqCqbQCgCqs8ERgM0HnYWKVBTFwmUcADRVwlgMCg1Z51GehGvfg3jd0EdVVZO1tcDGRpCRUYF2qz91dbIWqSoAnTboemoEQVz668euCmt0enx1CHoCUjlGeuKD/ns8fPlr/ukz2ZaWJnV1suPHX2xNzPAAm7ubDyY9IFdkELpXN6CmBOdvg0FHiC/M+PjrGhwtH1cIvqAC52+jSQY6HUo1Fo5rFT6lAC7WeGc7tr3wWP0DYHXcp0mhINQZn78KLsd4RiCknW/4FwDxBTUjLMRthyTN0GqRks9XajA90AhAA9hARUVNtd7eP6DNKLyL6ApAQ2W+qU/bVrumZnlhUaWFWGBhLrqnZUJaxbynn+/hXQ4gtyOPh41+YLK5d+Cy8cYSEAQ+2w9FP2rFkZCQ3AcZYA0WKBTq+BmreXzT5sbaMzG3RWJrUwu/2WP8GMxHqtjgij1MNEweH7lX0ViBIbMBgM6CVoWEwxj3IiqSIXJGaQKqs2FsgdJEDJkJc09kUj788ISZGc/Pz3bZsoBVq35XKNSffjr/q68uGrIUBqmq0aNdOm3QNcX56R6OIirtwca6MgX0RO9kZR6e9evDZs3ye+WVg3FxhZmZlWlpFZMnex07ltCyIa6ionHr1rMcDnPOHP+srMrWzXFytbu7eavnz/suQpUa15Lwwlz8HYXaRoj5aJA+VoD160lwWFgeChMuAOgJ/BKOiFgoVEgvgKMlJj5eUkSnx+8R8Lhv/x2hx7JxSC/EZ7sR6I3QTmLigqbm96JinvP1WOR6dxnXmA7QMc4bn+yFtzVszEChAOAbM9IzC3s4I1lzE5epS0gtKKyQMZlMnUZF0IyGjZmTlBwtrikc5uPYvjGdadRHPs29i6S21HioV3+MRKHgvZU4ehVZxXAY1R8jkpCQ3Ae5RPgvpT63+vh6TXMVTexMFMfpGMZaJs86YAoz+TBUzaDSUV8EQg86Gyt24vjbeu/pVFMHiN1guwDtnlUymYrDYd4fORmkqh7U4EFI6iqljfU6ndrexpzaxVVV9aDTYHp3eaghHjrlQ30Aj8aXB9knT2eZmxtzOMxff31i/fojEyd6iMXGTCZtz56bU6f6RESkrF8/OTw8ycSEfft24SefzL9xI6+pSRkXVxgW5pWdXaWpy9/wohl2nMJw99ag6lYGzt3C9EDsuwgLIdgsqDVYNgn2XQqGEQRSCxCbDhsxcsvwygPMgPeex9QAmPfITKlzJM346hCenAq3Lg1bzsTiTjYmDLtfbfVkQclsp858hGobcSEOsen45hUAej1xJqZi5rJXezKp8pK8C0e/8xo+adT4ufcOd+Cb0BFmHKO2pcbwq9lznny/J90OIDVVJelRv4/vdfkrQK/Tn7qSRAFmh92rM/zth3+KAiY/+dJLvT4oCQlJt5AZrH8pIlfzp8Ob/3pWSjGxnLWF4rMk8eRXxReP+5pxBF4hlJRwOI4CQaDwJi582sxzKL5+zn3cLLqJJdAh4OZyO8+fmZiwu27w3nt/padXCAQcvZ7Yu/cpQwQmMLUUmHav1vPyF1c3bJhuYyRofS/pv1/Ut96aPGtWmxpZUJDz999fNmyIq66WurmZOzub1dY2GzbH0WjUNs+fxipEloJCaUtZjfLCCA+cjsHGNRDw0KwAjYr//IE3l8LsbgT5+xlYijD9rkKmRouP/0CAF+aPQ0UtpjzYS65Zjo7K5g/HjVREJuLt5d13Mj0Q00bhTCw+2YsRHhjjC16rLEjn0VVaIf48DwoFL7RGSBqNhsHqvJDrfqztXFa/8W2npwInLEiM3Tt6ROtaW1OznCsY7NIMAGIuHpwW1CeWkRei07yDFxXeOdHJOVc7mJj0xaAkJCTdQgZY/2Z4C34zlAa5C6kSZ/d6+ymKqA+sHD0p0hqoZUqWiFaReafZym3mM/SbX6A6E9W5iNsPhhFmf9J65V9vwGsaShNQV1CmhhpUJxYBS08EPYuMiPziaotJ73A9OykR++ijWSNG2AcFbf3mm0tFRfVPPz36+vXcljW1ixczCgvrWgQqb9zI2707xsvLcunSka2rbJ+3qlEbTr2x7P7u+4/2G+KWLh25fPmOpKSSN9+cbNgc9847U9s8f14dhoxzWDW1Qxc0atuuw5a45L2V2HMOHnaYEoC4TJhwoNNh826E+CJ0BH4Ox/PzWveCmXb5gDQToK4JtuKu2jyI1Hwk5WLDEz1tT6FgRhCmjkJ6Ib44iFXT4NwxsiEIbDsAPg/FVbAxw8drARiMdKpq6s2te2GBzNzKPkbSJpN2/XZ28MweZcVivvNxAAAgAElEQVQGkPLiXC5d3hNz64clu6BCYD20KCdxuM9gV1glIflfgwyw/lfghLzekqOodg4s3z1RYz3csupsbfAnyZXKqSVbaMVnwTZG4CowjFB4A00VUNSBzcelz9FciYT90ChB6D6QD1GAdkCXRC1Pa9r/kpbCNHaZ3ml0BWDz5lNMJk2t1iUnl82a5evnZ/vdd5dbBCc//vj0zp2rWgQq//gjZsIEdy6XtXnzqZkzfbOzq37+ObKlB8MplbqM1S81Nm++MR70No2JH35YDmDbtoWGDXGHD8e99dbk33+/4eNjPXq0y4IFw9js1qdmaKgnAI4yGb4Tux+Jz8UQJ3z/F+7koLYRW54Bk4FZo7F1H+QqFFf1dKd9bSNMepzB0uqQWwY3W7QUwB2JxKY1Pb3WAI0KX2d4O+KzfZgzBkOc206FR2PScOw4hV/euv+6sqom1+DeKfHW6hmXo1O5HFZFrczVL3Tw2g62bOk48Zu2uXTqON++6L+iWlJUWS4UCEVC5+5bk5CQ9CNkgPU/h7mVg/6dnIqyAh19Y0VuQYD2F5qRCWR1kNa0+ueEvIjSeFzYCgodDYUwc4WkGA4BqEjdrMtVg0qlszDuBS6VqTvzKS3nUNG3RXkmwQ3gL1jzXvtirI0bZ40c6fD++8cPH47773/nAjCsqT3zTEhjo6JFoPKZZ0Li4op+/PGqVqvz9bVhMGhOTmZlZRIAhlPBP3uYCx5wP71LwTXE54FrdI/nIB9ALeg63XAfyYUzaa88Ye3lXoXaKjaAuwrzrWGOWtKjgS7EQa7Esf8gtQCm/DZT3knDodPjP0/3dMJNstbK926pkeC7YxjlhfBo0KlgMhA6HI/sn02jYsMT+PoweJw2hxY2Eyp1p9EVgIpaaZC59SMO15GFT38gbWpQyKQjxFZ0+iD1My4tyk5PuNJcXxowxMbO+lEssHqClbmALvAwNjG9ERdtaymytyXdckhIBgtkgPVvpzwOdBbMfVP3ry9QG/PVZbbyNB3B0LIEMr2GwbMUew4DMQzliSD0kJRAYAdVM4ri4T4RHlOgkYNCg6wOfGvUFzkk/w0qHVoVrP1pei1t7NM6+wAbnc7ByOTU5TsA0aoRDwD44IPjAgHH2Jg1enSr85phTU2hUFOplBaByoiI1Pp6mVDIWbFiVEREam1t86ZNrbaDhlNGbBrQx+aDBIFfT0KjxXB3+HpDUX5/k+/vpF0vr96xbLSILYdC/ljD3UjFxjUA4Nsx8TDqIRfR1Fp8th/rl4DR8f+yRgsGHdkluBgPhQo6PUxN8N5KcNmYPRoaLWoaH1eOkkLB8/Pw1SH836rWI1NH4btjYDERcK/8emZemY1rUC/u9TM2ERqbPEZpf1+iVMiO7drs4SAM8bHjGPVA7O1RKSqrziknZi5bAiAjiZuclUClVNnadOO2TkJC0j+QAda/HeuRRF1OxZ2T3Oobsxe+hVoj5JRiyBwdw4igMemMuyXqtkOREg7BXWklnik8pgAAg4OGEtTmgm8NnRIqKehMmDqhsQx8G7hOaKmvqassdas8S8F/DcNu3drJrrcVK0YZ1tQMApUbN84yvJ43bygADocZFOQMoO1U5Tlo++wj0uqQVoDiagx3vz8yaM8CV0czNovP7Kll5APZeRrzQh7x2r+jkFkEUPD8HBRVQdKMpZPw4U7YiLFgHABYmeKPs5A0Q62BvQVWTwP3vtJyBr13xL45LFiZoq6prVDs1YX44uA9H2NdQ2NKbv3iZ17rhREHPQShP7H3s7mhvjxuN96gj4lSpb6VWr1o7caWt17+QTQGU151tU8HJSEh6TlkgPXvp2z3YkJobzt5DQCYuYLBReR3NIEtAlYCLACoykBZMlq27JXdgaoZqnbOyvVFKLqFghtgm2DkStw5DMshKEuGXgedGkL7ggv7dQTLZd2xlvWm+rRzDXH7SoQhDKo2MDaO/nIHOSs2gEYAEABp6XU+ZqYtr1ENGFbZtp3AC3Pxxzmsntp6Svd46aKuUaqx/kfYmGHPB103dDTmOnr1hilNY/PDmds0K3A6BqU10OkxygsbnkCzArsiIBbgixdAoWCUJ9Qa7DoDFh1ZpTBitqbH+oERHriTjbCRbUc6Kr+UV9bezGyeteLtfprPQHP22PaQYdZ9HV0BuBKTMW3JegqFQhDEmaPb3XwCk2PPTxwxeMvRSEj+1yADrH85BEFUsN0CXGxhctd+h2+FWf+FrAa3/4SZK0wdce0nOATAfiQAlCSgNAlCe93fb1NDnqOIXVFfgLB3W6/VqjDpTVAZsPRGc40055Yu+zuC6+766qmWwUp2LmjSU9wsOS7qEwh8CjuvQTW900Kf7Iam5y5GP+Pjtsb7vlCjvhxbf0FUCuYOBafv7Xt5RvjP0yiq6vOBDOgfRnyuUYbP9mPdbCxtV17DM8KrHZ1hmAw8PwcAXvoaL87rjVn2jCFO+OHvtgArOQ/OHQqtTIy5annFgOjt9T93Ys5a8RQ2lo79MBadRtNq1Bq16sLx3zys0FxyaUqgdQ+tG0lISPoB2qZNm/p/1Pj4eAAjRjzYLIWkNyAI/Yk/v/RxFvAk2bDuuImJyYV9AFJPgsXD8KVwCgKTA70OxmKoZBj7UsntC5kVal78Toq0UmHuV5UYWZNx0+jWb6qiJL19UH3WreIb55QE1/K5i6KRy0BnAygvySurLh42aSrNyhPFt6HTQMjHH3/D2wc7TsPVBpy2tSpTI5Yxk7HSs7OtT2N8ETwEE4bis/0I8cN97te9j70Fqhvw5wU4WkHA67794xBxE2b8VqObnlBQARNO12uXbej0SC3AzOBHnt1DQ6XiSgJGDwGVAtzdqOjnYjjPZDJsLbinwo97+o+l0f7N3+iUClncpT8nBveLVjtAhTY+OSvlxvHRvuZ2NmJLsZDFunfxOjapyEhg4+/fh3VgJCQkD+Lf/PfufxyiPO5m+A+BAaMtzZ0Qebn9qfoGac7NSyJZkZJtyUhM4ZTV2oycSDC5dfmZnJs/qBnC/KLtAj1dhAa1qZeCY62PDacNe9bazlvDta5LCpdfO8M1MvJ4I5JK7VCzXJCd4OV1V10zeC1idyN0BdTN+OF7bP4OiSVw6rBLf/HwLjftGwNLjVDP78TCpSdoGqDsxhWxA6EjMNYP3xzFO8sf4iqOPbgO3TczQOgR4gwXm+5baiSQpABAXWM3UlgGMotx8BJWhD3EfHqFqaNw4nprBVhOGZw6imM1yQTn4+ZLmiN/2xL20n/6e279BUEQEYe+ndzXVoPtsLO1qGnIC5gxsuc+CiQkJP0JGWD9O9GqZMV/rnVzDzJrccZ1DEJeFFzGAkBV1vXb1dPX7jS4HOaf2dZw/JN6Y29CKZH5ve48Z6O+svhK+A6xNNHYbbLVpFfa92wy/imMf6rzQTVqhiHbRKEhYBVK4sFvwDTxh79UTJ05OkTwkAVMc1qzbk88sWvXrlVM5sP8ujbnPVyABSCjqBu7mPsInnnxiy+XOjmZfvfdFR8fq9ra5tWrg0WitmUaqVTJYtGbm1V8vhGtRX3Kx6qyssnMjEvvOjPXsuFOpsS5223b9LqgUYbDV7BxzaMrLzwyw91xOQFltbAxQ3xWB1efqgb8dBxPz2Az6Ka7z2o0agbjsbcIDD7qasovh/82ylts3I8rdHQabdTQx3MQJyEh6UvIAOtfiFIhv/z7W2PGruDbuhAEUVtWRCnK4pdGMcxcwbciLn3uL5rQ3kPaefo7GD7VzKJtHUFsab9k3X80atVDWU0LG+7QLO1heMbQGHAMgoUH0iLaV83/9NNVg0fy5cuZzz8/7vffb0yd6nPgwK0WGfdDh+Kysirr62VWVnylUrt582yCIF5++SCdTt28eXZTk/LLLy+wWPRNm2bv2xfb0tW3314Si42ffno0l8tqNWOeLA592IURHyeciUV2Sc/X7+bOGRIVlTNmjEt0dO6HH87Yv/8WlUopL5e0SNK7uIglEoVUqty0afZvv10vKKhteS2Tqd5//282m/Hpp/MlEgWFAnt7kUQiZzBodDqtoqKRQqHYWfOpFqGoqMVP07paJFXVQJIMAHdyMCNwAKKrFl5bhI//wKansXgC9p7H2pmtx3dF4N0VLYV0otVhKXGXhwdPG5gZ9gFqlbK2uuzW5cMmLPWcCe6sPhBqJyEh+efyD7CgJ+k5TZkXrhz89NTe/46bGMwys464knT2coqsIEdtGlxlPjkitlCl1lRSLS2H3VcEbdFJMGKIrhobG8vKyvR6PQCZTCaVSvV6fVxcHIDMzExDe4pORS+LR0k8lI1tvRgJMXIlCL3hQEJCsUqlLS+XFBfXz53rP2vWDzU1zXv2xIwf7+7pafnzz5GJiSXTpvlYWwt8fW1cXcWRkdkUCmXt2jEzZgzZt+/W1q1n339/+tixbgcP3jZ0dfJk8tixrn5+ttu2nXvrrSm2tsLc/IaH/vjoNLyzAvsuolnRwyvGjXM5dy4tN7faycmMy2XFxxcrFJqtW8+23Mv77x+fM8c/JMT15MnkxMQSw+uyMsm6dWMBXL2a7eAgsrcXAUhJKdu9O4bFojs6mjo4iKgMJphCOLiBYwamsNN/x04WZBeoWqdyIwVD+8Tqrkcw6KDRkF2MY5FwtQGAuiZs+h3j/Q3bFBxsLIqz4wdshr1KVXnhkR0fXTz0cXHC4ZnjnCeN8SGjKxISknsgM1j/IiSFVUdfcRaa+49do82+mlVUO3b1bmO+yHCe31iftfcpU+fprJFrHqrjr776ysXFZfHixXv27CkvLxeLxQ4ODkePHl22bFlKSoqnZ2v9daNwqIKWwFQ24ubvGPkEKlJgNQQ8MQAw2jJh7T2Sra0FtbXN7u7mZ86ktZolO5kVFdUPHWoXF1fk5maRnl6uUmkBuLtbMJn0+Pjiqqoma2uBjY0gI6PC0BWAFumsNjPmMumjfIZUCt5YjM8PwsYME4d1u2LIBFxcxJ98cubJJ4MMBw3Gz2ZmPFdXsUymysmpBmB4HRGR0uIerVBoWmKsbdvO1dXJxo93z8ur2bIlgs1mfPHFoh07rufmVqvVupdemrB7942W9F5GRkWrP+MbYd99dzlgmNkXb/IAgErtj90AXfDBk/jkT5TVYuJwXE5AVDI87DF6SPsmNEL1oKsHPy0J3ZKCzPioE3yWcn6YD502oB84CQnJ4IYMsP7hSMsQvhYrzwIAW2DiNZk+8tlrV8NHVMUOezWGyu5QHG3MF/m9fOIRBuHxeOnp6fX19Q0NDWFhYY6OjiKRKCsrKzY21tCGIAir9B+NvX3gNg+WPihLREMxCm/C2g8eYVBKP/zwhJkZz8/Ptr1H8vPP7zt+/MW33jo6d67/zZsFBhn3e+p2CYJYsGC7UMjdsmWum5v5qlW/KxTqTz+dHxdX1NKVoWWbGfPLQ4FHkgYQ8LD5KdQ14VgkUvIxf2xX625a/ZNPBi1fvmPHjrYyKYPxs42NoP2NGF63c48u8Pe327nz+pYt844dSwDQktzas+fm/7N33gFNXe8bf7IHJGHvvZcgQ2S4cKAoiHVWrVqtttrW1la7tWpbvz9rtXtY29qK1Tqr4hb3QhFRkKGy954hZOf+/kgIAaLgHr2fv8i955x7Ekde3vO+z5OUlJOSUjRzZphQKPH3/2zfvtfVLo1FRfUaf0apYtQo36GRZkCxetH7ebMPEToNn86CsA3peRAY4pMZ6oAv+3aZRKoI6uNUV98sUT7t/+EQhKqlqUFgbKa9IhG3Hdj6FYumoFIIiRz2lgaxg1yemdAqpwjGves/JSEhedg87f/fkfQAnY2+7SXnbCPLCT8AGDfeFOJxYPeu9awXyOVyDodDpVJZLNaZM2cGDBigjhUWLlw4YYJGjenK34vdnL2pAeMAgGcJT0s0l4MgkHsK+z/6fMkWOAzULqjVc585MwzAyZPvAmhrk0FHxv2TT0YDCA11AjBpUrBMpqBSqXQ61dvbOj4+gMtlUigUDw9LXbtlAFKpQmPG7G2mUS+9P0z5eDUOV25i5V+YOLiTpbEOIe482DpVVKxRv1y/fjqAuDh/jfEzlwkgOtonOtpHPUD7s9o9uqqq5dix7Pp6ka2tkYODSVVViza5pVSqAAQFORQX1wPQpveGD/fW+DOGd94S59ELhvUGHhcDOvnuZRXUU6gMQ25ZZlHbhJd7kHJ9nBAEoVTI6TpF93K5bNfvy82NmGIVP3rCAhabC+Dskb+jI5z5hr121H56+PBX8EzAf2j/D5CQkNwTlCciALhhwwYAr7766uN/NMn9oVAo6HS67g9aso/+klNaEexj40StgEwE54iukwkCbEsoCY1YvBaVCuI2cNig0pF4CgFOcHTW3Eq9BVszWJuKFQpOmxRptzEksDf7rKgSbdudFzPCwduJAmltzxN6hCDwx0FUN8LJClOHa9Se1GQWwCkK3v16uVJWVYmvVSfJiYKCuvPn86hUSmJienV1y+TJIcXF9WKxPDu7MjTUqbS0sby8kUqlTpwYdOFCvjq9d/RodkODKD+/9p9/5u7enZaRduvr93gA8PV2vDvlIbzfh01GdlELzamhpixu6ttPj6BAfW3Fke1rmRyjSa98qr24Z9PqqGBLIwGvpbXt5MVbdK4pjcEW1hZNjg19glu9f77e/p2plYlj6IwZM570VkhI/ouQARbJfdKcnyyvygAIhTDPyre9Ain9X7hHgdvNhbc0DVDBPqTrdS3paTh3Bdl5mBaHAYNAEPh047kFsT9cz/mhWWEZ4nWvAgoPn6wiLP0db4zTqJYfT0XiBXzwEuyt7jQjs77RztDAiMWEXHEiKXe5rOGzkdOHumn6CSQSuTb31tIiMTRkUakUtCe3xGL5vHmbv/9+ioEBi8Wia9N70LFxBCBrLmW2XEZ+Oa7lYuKQR/oB3B8NjS03KpiDR730pDfSiX1/rxkVbp+TW1FQ2WZm4yoWCVubavxc+J46EmVKlUqlIhhPtrLtQfhmx3cmlmSARULypCCPCEl0kAmlxz5pCnybyeZVltx0d/Vg8PVED82NdWk7ljny2lwGxgEAzNZtlh1MqrCy4tfXhezdHs/h0kGhAhTQWQAFCsk3WxmzZgSbWJprlqhOQsllNBSiT3s/Y0AQ/AORcwx/HoGci7JbuFlixWZZ1ddyMivxQlj3bTxufJ0Q6YeWNny9HUoV/Fzw5XxwWFDJ9Q5vlsk+PHvZ10zwZWQIaBg2yLHhm+ShWasQ4I5RoWDQNKr2zSIcvsyvbUKgu1oPXSmRFFbInQW8GaPBbz1Jl1CgdWlsAtTWje3ejEx1e6ZCCcZT+m/ZxJh/+8hJv+ChpuY2PY9+9BCE6tzRbVZ8gsVk9PV17OuLppZWDovHYnV1v6ZRqbRnsc06vwKFFRgcCDwt+UISkv8mT+l/yiRPBhqzKvtMldJKKlOasmUVad85vrK7+6hTiRtGDx/E7NSXTn13cXRsrP/ChdtSs5ptbIxWrdqvboXbsuVyVlalQMCmck0uXi7TdMBNoaCxpKslX1sDmoqx9A389geseJg32v27rd+bATVVWLgci2bD1w9PiuQs5JVDrtDolfcCAZP5WURfJ1678Q6XMcnDHk5W4HPx9WYAYDEhkUJgiLgIWJsCACGFEl+lXC1rFf02PHLkQD4ghbIXD5PKYcDuedgTYkCwS1nRrachwKqtLj25d31EgL29bYeZjxH/EZsjPWY2H8WYcExejncmobDpSe+GhOS/Cxlg/depLM1NPrVn/Mz3AYDGIlj8IH9XBp2mKL2eXmOq1wVGLqxRKGxpwgqaib1GcBxYuzYpIeESl8vs39/50qVCbStcenpZVJRnUlKOWCzftClZ0wEnK2HJJWiugFwMBkezLoODpnIIbDFzCqqygQqsWAAAFArEUqxKwDJXNDTA2hYAFMrHqkpwKQvTRsCQ0/NIHYLMOydFlCqY8OBqqzH/kcjA1iNr/maAd7VYzL6nPrWcYoT53tPeumIcCKZRz8PuC3lBoq3DE9Ycl8ukZw7/rRIVTxwVQKM+i4mp3iGWwpiHfl74fA4q6p/0bkhI/tOQAdZ/HQO+qXfAAO1LftCLaem5/YO96HYBJhf/7+q+r3iuQ2ydPA0MNb1IBKFyodfd2PS5g7e/NaMFoCB4GsBZsmREbKymfaxLK1xYmEtSUg6AuXMHaDrg5qdbiLPgFw+FBC2VaK0DoUDpNXgOBwALT5i6IG0bsg/DyhOmruCwMHsMFqwDTwxRKzhsGDrCwQYWHKAFQSFwdsYjRSqHZbfCst7TJgWXBWcr7E/Goomai/qiKwC2hlzbe+1ZM+GjvBaOlve9wQ9XJmffajYy4qpUxObNs/VWo8+fv2XlyjhLy3voStu9O61PH1uCwmSynliCjSBUl0/tq8hPGRTqbmbi3/OEZ5rNxzSleE9NPwEJyX8WMsD6r8MXmPADIgBcOXvA0cPfYuAbJb99GkoQFArF0dXFlFtZXnPuYsYBqrjRQXhNQefRJA32AVEW5s0ImgA6C9U3ceFnNE0GfLRr6ug8Fek+69ChzIYGkbExl+MXBbMXNFfpLLTWoL4IcjFc2kM9GgPiJjSVwtAUpq4A4GqDjUsBYPM82DkiMBYNQrTRUVWB37fCVYA5bz6SD0giw28H4ON0/ytcvY3EC6AAfd0xf+xD25guyVlY1gu/wrvy6aexwcEOYWGrRSJZQkKy1s7Izs7oyy+PcjgMlYpYtiyRwaCtWBHb0iLRCqKqT4FHjfJNSsruooa6d+/1fv2cPnvL8vTRLaOnvPVQ3us9kXXtbFbKkf4BdmGjgh//0x83BZWgUGBr1vNIEhKSRw8ZYJEAgFKpuHRmb+a1M7Pf/irCx73k7L+OgydQA8byUxL4TlzvgX0BAIMgE4FpAABZ1ajKgl0QLL1AqBaPGwOjjgBrzZoJ2lY4DoeBdoGo5ctjNR1wFz6GWfsXHoMLxzA4ditj9xiGW8dwbRf4VjBqP4sUN8EjEo6hqMmDkR1cPODnibIGOD2aMppWMb7citfHaWqk7o/mVnCYsDLFuAE9D74/2MwHz1isXHmAyaTJZEoKBWlpJRMnBldUNLW0SLZsufzBByNv3ar+/vuTixYNa2oSJyZmuLtbdDkFPnToxvDh3l3UUKOiPGNi/LicMg4aqyuKLG2cHsa77RUqpXLPptWe9pzJo4Me20OfJDI5Nh7EinZVPPnjPUMnISHpxvNbi0ByL9Bo9IXLfp/99lcA+IYGUrkSABhchL+C+sKOccx2I2dTR+Qc1fxs5QM6CyBAEFApQChBqAQCNkBw2DSoFFApoFJCpQChMjLiUKCCpQ+601qD8usdLxuK4BmNyLmozO6wMmQLYO0HSQsMTGDhAQAiCaokGDLyoX4e7azfh3cmP1B0BWBoED6cjpp790bsPa1tPY/pieXLY3fvnh8T43fuXJ6uB1FFRZOzs5mbmwWHwwgKcjAx4Uok8kOHbhw+nKV7Cqw1CPLwsJw7d0Bzs3jNmqPNzRpXx0Fh3peOb3vwTfaeU4cSIgLM/bwceh76HEAQWLcdb7zQEVQ1t0LwfBXvk5A8a5AZrP8kBAGlBHT9JdtKIxeOtE7zIvdMRxG6Fkkzbh0HW+e/78ZraLymWbahBJkHwLPMKMiyosotLOwx+G0AEDchMxHeMbj+Lwa8pufB2UcRNLnjJY0FQ3MYmsPcEwBqbkLSCocQOIRAIsSVBNj2BYBNRzBn9H19Cr2ARkNjC0x4D7rONzsw/I5HVDKZPPF42vABvvfZzqYi8DB0xj/5ZK+REZfHY0VEuDY0iLR2RjNmhM2a9VdTU5upqYE+t58i9RWtQdCKFbHas2AXF/Pt21P7f2RFo1IJhejBN9lL6mrKVcIia4s+j+2JTxKFEt/tQmxEp98EGoSwtwQqn9y2SEj+65AB1n8GlRxUhrit9cS+DU71J92azjVPOGTpHdl1WOEJgu9XYjncHkD1TbRUod9LKLiI2ltQKhA+FxQKxE3gW6OhFHln4dYuW6CUQaUEgwMLT0S5i9L3LaszcWYovjVp9/flGKHfTJz/Bd4j9O9Q3IQrWxA+R/OysQgWbh13zT2Q+jcy9oBKhXcMxM3tw6ph8QDl53fnrQlYtx3jBsDD/oHWYTLgbH2nmycuZkuUbJlMcT8rbz6GstoHP3xc/cVIsMy1L6dNC9X1IIqP76s+6gUwcqTvyJGAjiCq+patrZHWICgszEWrhiqTKdCcDIIIzMkrOXHQYdiYB9xqj0jEbUm7f5gU0yvp/2eeKzdx4CJmj4ZTZ8m6ijoM+2+cjZKQPK2QAdbzTH1tRebVk0b5/xpJitkq0RWrGQ7Cy4OHTODxXlZV9T9/dv8o+z7a9kA1hNNQrkzS0NwGAC2VaKnC4ZUABV5DIZNoBhk7wtgRAOrykH8WBqa4+AdodES9i5yj8B8HCtWgqfhL02pzxwAIizvtqakcVDYAqGQ4tAImTjBxglc0SlJRlgaWIaRCsHgAILCDQtoxkUJFn3Hox0dKAq78jfFrNdebKx7BJ9cOjYpXxiDxwoMGWI6WSM7CaD1yqTfzyi6nZk6fEGVhdu8qCfUtEEnw0fQH2puaukugdCrZ0e364wDQOeG8Wl0bbGkuACDSuVVSzS2pBpsJBh2Xs41kCtiaoa6ZqVRBLIRUaj80eG9JmgMebYClVCr2bf6/sVG+z4wf84OQcBQGbKyY3bUCr6IeShX4BneYRkJC8jggA6znDkKFyjTYhJT98UKDihkQEWPkHg8GF0AshYJ9G8GbCYBq5R0TJUnd9Jb/2MWNu17NNIlxbL1WLWPbSW/RjJ1tyzOrBDVWIdFwj4K0Faw7HF2ZOCH5TxiaIuZTjc9gwQXYBoDJRWut14troZThyuZOU3xH48J6+I9H+r8InQFLbxAEmsvRUoERH4JnDioDAORiNJYg/xwiXwXLEEWXIG5CSzXYfDiEgMEGlaV5s8reCHHeL9ZqYLgAACAASURBVG1SKJUorMCZ6xjc9/7XGROO1Vu7B1ipGfl7Dp6ZPmGEu/M9inCW12LjIRhyMCvm/neli0ra8xgAQGFL69unzs3ydp3npyNttfkYZHKE+aC5BWJg5pDuyvJUwORSdkNdlYnZHc2FHpzDO74fFupkYHBvimXPJIkX4GCJIfr+Wm48iCUvPvYNkZCQdIIMsJ47VHKUp8A6UNJc4z/pna53CSVUKlCpALgctpcjr3XXTLvRC525fKKe7X4xgR0+nkKjgl4AJxfknoaRHVpr4BwBmQhtDbi2C1E6a1LpGL4ESnmHi/OoT3HsC5i5wnUQAAirIbDttIHaXEQtQmMZgifB0hsAKBQIbJGxF14jQWdphuUchU8M6Eyc/BocAUJngSPoKLG38kbBOYgaILeCc3tuicEH5361wlsLO0UY+y/i6i0w6aDRUN2IL1/Dj3seKMD6dhc8unopbtlzNje/dNaLMR53Pj3shIpAbikOJINKwdkMLJ2BYM/739L94sw3/CDEL077sSuU+HYnBgUg1PvuE1VKFYVQtImEjy7Aunkj2YovNzMVPKL1nyKUKmQV4iN9Do/5FfByuJPKGgkJyWODDLCeO2gs9HsdKoWAx/tm/a4B9CwbJ2fb4e0iSRKh7liLgMEIGKz+mWLqwrH1hJEtDEyRdw61eeAYIfVvMNgovQaeBTgC2PdF0WVwBCi+DM9oCKzBMUZKAkLb12fzYOMPYTW8RwJAQylqcuE9CgBqbqGuEJXZMDCFb2zXbYdMw4mvMHJp+848cOprjFqGsav1vMeMPeg7GS0VWPUZFq7QXGQax7105rvvpri4mP3vf4ft7Y1nzOiUMTp3Ljcjo/yNN4boWVBcCZUUBIHreTiTDokU70yGwAAACivx3a4HOiLcmoT6Zkzq+tzgPs4vjArlcnqnwJlZgF1nEOiO18eBw8KiSfg7CaeuwcYMU4c9ZlXJjuhKrsAXmzEvFnbmd52BFqHo4Jmb7v4Dre0eoSTszatJ44bpa1B9/jiYjDHh+m/xuWiV6L9FQkLyGCEDrOcUKt183pHpX7rXqnh8IwEIQvMdPGA+CAWg77fbhmK01MDAFAAGLACA4iuw8UfA+I4xF34FhYKIV0EQuLYdQxYhbRsMLTqtEzIdShkyE5F1GDxTRH+suS6qh0sEfEbhyt9oKoNR54wOxxhsHuRt6tNMWPnAOQK3TqDvRHRHodDkvfoMQkkh7DUZoBkz+u/Ykfrhh6MOH8786aepc+ZsUithVle3rFlztL5eNHiwx88/n9ZKaF6/XpqeXtbSIv5+mY2tqgk/7kG4LxbEg6Vjs+hs/UCnLQoljqfh01nYkIhPX9aVJvJy613QphYA25eMpbM6zt0owMxRAJCehyXrEReBqF7XdGs1Lx6cNf/g1bjeKFteySiMnf4+j//I2hEAiVjEod9Xo8CzSFYhxnbrUFFjboTSaihVeCatqklInh/IAOu5pbaqJM/ttbq8S75mlproilDBLhAA0v9FzlGY2GPgG6BzUJsLGgOlVxA0pfMaBCw6H0Ip5ej3EgBYeaMkBcdXQ1iDuP91fXbhRfCsMOUXzcuqLJSkwsAUbD4AuA7ElS0Iexk8HWuXplKoVJ2UIwR2yDsNmRhFyTB1BpOrKQWrzIS2ftm3H1o6JKDGjg2Iifl+4sQgZ2ezpiaxVglz166rq1aN2707Degkoblo0bBjx7ITEi7ZspX4fDuWvwwOC91hCEDrRZ6JaQJGZxsZhQKNrVi1Dn7OcBuGygZ4OoACgIBezQJRUdfrXLsPv6rIzq40MhqrWtaqa2Lz5pv/fPRRjO2Y8Rjz/t331TV1V3MG0tqe306PHEzG8OBe6oZLZUoO59HWXF9I2hbi7/RIH/G0kFfeQ0p1ylD8fgCvPRrbABISkt5BBljPLUU3zlrkbwmOnQ/D9pKUG/vgPRIMLhz7oU8sqm7izPewC4asFUVXMHwJ+J2LY9i8Tn18BAEao6PcKnQWCAInvsTONzHxB41clkyEmlugUGEfDAAqJa7tgKgOHCO01Go6BE0cMXwJbh2Hx3BABYKARAixEAoJlLKOMiznMHD4SPkLzhFI2wErTwjcYOoLAw84jNSUdtkbwZgHAR8AGAI2m7FkSfTNm1UrV8b99ts5BoOuVsKsrxfZ2ho5OJhUVbVoJTRpNOrt29VffXUsMfEN/Pgxls3SH10By76tHBkbMWCAG4B165LmzIk0Nu7QnXrppY0bN85kMumLFu2orRXKZIrExIyamrUCAQcA+IDaMZsL6Cu10k4HAElN1wDr/A3AVGtik5tb8+uvZ9V2NOr7+fm1q1cf4XKZ1dUtVlaCOXMiDAxYWhMbberO3d1i8eKd6okPJ4kklSMjX38NkD5kSiqd8QirgkTCZkljkWlgwKN7xFNE4nksGHe3AR72uF2KPw+pG0BJSEieCGSA9dzSb8RLTX7hZbvmuI5biNZaMNiwC8Lhz8DhY8THAGDjr6mX4llCJkbOEfSf3WkJqQjCao2eJwBpS4fqlRoKBebu8IvXRFeZ+5B/AeFzYOULKg0AqDQET9UMLklB7mn4xQEAhQYDM5xYi5YKmDjCpg8cQhEwHpf/QsSrHRVFll6w8ACVDtsAAB9+3ZSdX2NkxFWpSjZvHkahUBDUtbB6zBiNtiRBQKuEOW1a6NSpv1dXt0yeHBIV5amV0Jw580+BgPP661s/eTXCzaBzN6JCv9MIn8+mUim654wEQbz55jY6nRof33fkSJ/587f89NNUgYCTn1+rDnQWLBj8/fcnuVzm2LEBBQW1WVmVc+ZEmJkZrluX1NwsbmgQqaevXBnXtY7p210wcQZMtSY2X355ND4+QG1Hox6yZs3RJUuiExPTf/759LZt8/z97c6eze2euluyZNeePQvUEz965SGokuJKDobdg7ufiSG9vrbS1Lx35fz3zumDfw7pr9PVKPAD/cF0zBtSHuZZ6kOkphEs5p1+GeggNgL55VizB2a+j2VbJCQkXSEDrOcZI2tXKSE+f/Agi6I0b82iOwTa2odQam52GqQ+pwubjVPfdpRqAVDKUX0Twe3lRwSB67sQ9krXZxAEjGzaf3CA8jQsvPTvpiwd4XM7XtoHa7JcyX/AOQJMA3AEKDiPtnoYmEGlgkyEzESEdBJ50jUkbmkRq2OUr76auGvX1aysSh6PJZMphULJihVx//d/L+gqYY4dG2BoyKJSKQC0EpozZ7ZXwVclQd7c8ZhjV/D3MbzxAvp3rZi+erUkPr6v7jkjhUJ55ZXI2lphXl5NaWkDjUadO3cAgPLyJnWgM2LEt2fOLElMTM/Lq7lxozwqytPf3+6tt7apnfv++OPCpUsf1tYKt2xJWTRN599jViHszRE9EAmS5ctjQ0IcP/5471dfHQ0MtGcwaM7OZuXlTQBqaoTu7hYuLmYAwsJcABw6dIPFYnRJ3alUhNrHxtnZDBDiwTl1De9P6/3wkADnkye2xb7Yra31YVBfW8EimgwMdKr62JbHTldOnfp7VdVXDEanQHnu3IRvvpnM4/V05ttw5RHs9GHw2wEsmtSrka62iOgD3gP7EJCQkNwXZID1nGP5Voq60Iloqy29+M+FzLOWPFebK7sMgseB2vlPXyGFSg4aE8Up4PBReAkKKc7/AlNXOIfh+i5NUqrLlNYasAUAQKHALhDJG9FSAX43uYSMPTB20N/sRijAaP+2c+iH1K1gGqD8GgzMEaxTE6aSQynTNSRevfqI1l24vLwpKsozKSlnxoyw4uL6/fszXhlvKACBRnAA1dkcVmsbdagm48JWqSDuXP+rFEOpwtVbuJwDoQjhfnjjBdwu6x5gqdE9ZwTg4WHJZNJPn76dnl526NBC9RhtoFNd3aKOgerqWtEeBmmd+9hshnr61aslAA8KJVJykHoLSiUWTgDfBKjQmtj89dfLhw9nqe1o1E+ZMiVk6tTf09NLqVTNO9I1sdGm7kaO9L10qVAz8Z+9MFHp10/qDRIZfvwX8QM6tQL0BJfDZiibWprq+UYPZuyojwvHtsSEdw3rExIuTZkScuhQZnx8wPr1ZwsL69SRNwCFQrV06b5Ro3w3brygPkvdsuVyVlbl4MHu+/dnqK88jCzfI+BkGkK9YdC7zlMSEpInChlg/VegcM0dhr9lP+zNhpxTtWe/Tj1+2sbV01xSZOQzQBP3CCtx5DNYesHSCxZeoDJQmQ0LV1BpyNgHKgMUAle2wGeUptNQIUXyH13r4v3jUVcAvg0aCpG+B2GvgGUAKh0UGrgmerbVWIS2pg4NcfWpZWstaHTUF3Ykw2QiXPkb8pHLl09S53LOncvTxijqdE5YmEtSUo6bm7lIJM3NrYEoX3vE83fa8eTC0rWBBgbd1C81nEzDpSyE+WJBfMfJoESGPw9jdgyAZcv2mZkZ+vtrciS654wEQYwf/4uxscHVq8XOzmbTpv0O4PffZ2oDHScnU3UMtHhxh0eQ1rnPxkagnr5qVTx2bkBBDoI9sCBe2zC4evV43Z2+8EIg2u1oAEiliiVLRvz558WXXupva2sEYM2aCXpTd21tMvVEnBDD596P6iQyXMtFciYoVEwZCnuLnqd0xt3BNOf6+f5D4u/50T1BIVSMzn+yTU3iysrmefMGfP/9yfj4gOvXS7WRN4AZMzbOmROpUhHas9T09LKoKE9TU0Ptlfh7OP98XFQ3IvUW3p/a80gSEpKnADLA+m9BoVBNfYaZcihWyT+Is29U1VSUyvheDiYMDhc0FsZ80THUzBUn16E1COFzNXbLAIpTkH0Ibc0QN6CtCcOWgErHzjdh5oKodwHAc7hmJM8SwiqkJKCxBOauULRXr2cdQNYReESh7wQAuHEQ/WeiC4bmMLYHQQAAQaD2Nq7+gwELcJmla0gslyu17sI6b1BPkszX1a7lQgbru11wscH4QVAR+CIBge6Ii9CMSMnBxzO6TlMri3659fNZi7B6JgCpVDFx4q8MBk3Xqm/mzDCZTEGlUun0TlkxbaCzfv3Z4GCHP/+86OtrM2/eQPXduDh/rXNfx3TTIZB2rphRKaAQQaFEqxgsBmhULpMBAAq5+v6IKMdtO64vfD3M28tSWyAvMACEDRwCkCj5AJqEIAiuSgVDDhRyQAkvh+6fkh7EUpzLQFYRVCqwGAjywBvj7ylxpUvazZrxc964v7l3R9VNzX/7zgxLS96xY9l5ebVNTW0AOiJvwN3d4tKlAiqVoj1LBRAW5vLDDyd1rzxdtIrxw24s7faPhYSE5GmFDLD+eyjEUCnYY75lGVpLqyok+aelh99n8Az0iH+6DYZS3umKYygcQ5FzFNJmBEzSpL4m/Yi972kF4jXQObDxh3sUBLa4sAF8K00+iWOEEe/hxn4UJsM5HPI28PRlU9yHImMvUrdC1gZbf0R/Ahpj9co+4HfIRujGKOp0zvr10wFER/tER/ug7F/tyODwPsHhfQDg0CWs3oI2CSZHYfmfuF2KljYYsO8oiT64Lwb3hYEBREUAWhvE82Z4GDNrcL2MbcyDmaY9U9MdJ2e1ioncvMbAAI38hIANtDaPDeBsO5U+9xUfP28DSOsAACqISjSHUBIdUTJFt+ooSRUqDwOAWIorN3EkBYHuupqlNhS8OwXNskvHLtdFO/QkZK+Wn/Q1xZdb0SbGwonat9AVpQqXsnDsCiYOwdAgvfX+94RKRbC4xtSH7Q9IEKrTBxNszLrGfDt339ib+JahIcvSkr9z51XoRN4UCuWzz8bOmLGxtVXq7W2tPkvVblJ7ujo+9OHu9MEoqsKfh7DkRVKfnYTkGYJCqPMEj5cNGzYAePXVVx//o0kgLMfPfTDuL3iOBZD260wXT3uuvZ+wVcjhcDuExYuSUZcP+xBYditaP7kWobNgqNP0dmItIl/VyFypETchbQf6z9IkrmpuobG0I7+lRqXAqW/hHQ0bfz37vLIFAmuI6xHQXtLLNAZDgOMp8LKGnUYHqFEiNmbr60UXFQN3+LstkYHNxNfb8e4U/QPujliKX/Z2matQqdbfuBVuZRFs2a3GaN126aKJb59JceAZftyvz/08Uc3b3+OlaPTT00Pw7bWs0+XVfwyPNGX31FympqgKm47AwRLFVRgTrllTLEXqLWQVobUNAPp5YWAAqA9HI76israg2Txi6AsPMcaqry1P2v3zgCB7O+tuWlyWw8DsWY9C9yy165X6AyAepc1l79l5GlUNnQ6ve813m86YOIbOmNEtO0tCQvLoITNY/z14tninRPvl4TPoxboTqyuvXRTWV3AoUrZvtHtkNAgVMvYheJqe6ArAkHc7JasAhM4Am4/Sq0jfDYUcTA6MHeEQ1CFqZeGJgotQSDuuAKDSETEXJ9fBxKlTcAagqRQsQ3gMxcXfOnobZY04cQZ5ZQgfrU4pXamu+ywl/YuwwABzfQVed6JNisJKKFRok4Lbu4hEFxYTVBoW/4Q5Y+DrpL4mVaqyGpr4TGbXAOuvI7AzZ1Bp/a3MnPn3JRzQKgaHBRoVNmbwdtQ7ZIG/V5yLQ2+jKwCGHFiaYHYMfvgXzta4nocjl8FlI8wHL42A4cMXT+IZcuWFWfs3XeMYOw6Nffm+NbGkkrbU8wfrKvMpKgmfQ5kw0p+hN+xoSO3aw6FDQVOzi5EAgABADTjoaKzsuPIENRpUBAor0doGpQpHLmN4SHefJRISkqcfMsD6T8Ls+KZne4+28x597tg2vqrU19NBWHYLAChUhL+C26dgqy+31D2podZ6kLRg4EIIrJFzBJ7RXYMwniVuHoVfZ3XpzP0InIgDy2DqiMFvgspEcwUkzWgoQp84ALD2RdL/4BMDuyCcuozyeswerZ3tKuAFmpk43mvg8us+ONsAgOq+vkSpFCyaiFWb4dmhpm3AoH87KJTRpdHym50YHIAgDyow28f9Hh5xORuptyBsA4UCHhcVdXh7Ikz4WL4RdBpmj+5SRMWi0VwF99KNv/EQ5owGAJkcm47AzhwfTHukhoY8nkFUhC+AuoaWxISVZrY+EcMm3WuYVVNZfHLPT8MiPCI93XoYqiu60ZmCZuFrJ5Pn+3lMcHe6p6c/Jk5cxcVM+LnAlA8aFQsngPeUdjSSkJDcHTLAIgEkjQOp1w7mS/y97AROPii9grpC2AeDSoNKDgoVTZU4sQaGpuBZImwOilNx8yhGrwSh1DQA1uahKhu+ozVpA+9REFZDKYORjqGH13Ck/9v10b6x4Bpj4nfIPYk978PaBxYeYBpCKUfOEfiMhnMEbPyQshlcY1QUwrFT85oJm/VZeC88+OpbIBLDod2ZR0Vg3IAHLWcx4eHHPVjUYZXI6n745WyNqoa7LSJXIO02Qrwgk6O2CfkVOHMdAkMYGWL6CBi1B44tIvz4L2qa8OF0CNtwu7S3Vep3gk7VVF8tngmKkYrFbGySmZp0TYC1iRUsJo1G0wm8ZPX6TX56jZkJf3x0YMOZ6zdemRiYkNjLWSql8urFI9UFFyePDqE+mMWei4A3w8v1KY2uSqqRW45ls570PkhISB4CZIBFArD4aCwIaM2m3BaBzkZJKsrSYBcAz+ForkLGHlAoGPY+jO0AoPAiXCKQcwSHV4LFxdD3AODqVgx8o9OhTEslbiZh2HsdV2hMdC/4yzoAn9EwMIX7UNgFdfjwNJXh7I/wGa3ZXtCLSN2Js/n4/L6UKn/aA5kc704BjYo/D8PBEttO4uVR97OUlgXjlG99T80uovg4dVwsr0NKDl7QtArCywGXsvVPVyhxqwR7z6OPC77bCRoNLjbgMLFiNhqFMO6cjuIbdDQ5ltc+hCM8Dhu1TTA3Atciq8r+gw/+NTbmUiiUhIQOKf9du9KSkm7b2RkvWzamY2J9yv0HWC0i8A0AYOtxk6bWrJig8uLbto4ed59UlHvjRspRlaypj7tlv6G9NrS+KzO9XR/KOg+frcfxtj53cxISkmcQMsAiASg0DP60sextO+9RqL4JpgFGL++QZuAaw3dMh4rV7ZOw8kLMp1ApQGcDgEICCkUjjqWFUIGik2kgCGT82xE/1eYh9wQodLQ1dEzU3gVgZNdJ17QiA7vy8f58WNgolEr63Qul/zwMKgWzdOInQzbmTMA3O2DIwatjseMUahp7+dl0R9jalpJewGHTSyJC3P8+0dfRjPZau7bT8VTQaVjzD1gMKJSgAE53UJz6YTe8HDF7NNwCVTTDxiapqUl7e8EdGvs0mHEQZnu30jFpLSQ1PbyHmSPxv814eyKc7I8fzxkzps/8+YP27r2ekVG2fv1ZFou+YkXcb7+dc3e3UCuea21/1n7sdD/nVWIpvt0FPhetYkhkGBGCCL9IFXHwVEKlW0RwZIxecY2c9IuZl/e72RvFRDjS6U738dhnjNwy2Jr37IFDQkLyjEAGWCRA4isYtJTvEFRy6bBDWEzXwnb3KKTvQXi7SY5cDBYfVHpHvur4l3Ab3HVNBgdN5Zqfb59EXT68RkAqQvLvaCpDSyWsfWFs3bFsd0ycdH72hUNBo6nFtR0HLBvqik09/Ad42lnr0wS/nA0uC6WdIwypAkaGWDlH83JeN0GKe+H05VsD4t6SSsT94+wyN6wTHT3AL6tFRR2u3IRYiiUvok2K5lZ02Z5Shf9tBo0KX2fERUKpQkx/AFnFzA8+Pdk9gaSXdeuS5syJ0rWa1kML0XOAZcDGsllYtRmrvGbNCl+6dF9k5JrAQIeDB2+sWBGXklK0bduVUaN8+/Vz+vHHU8Awre1P0umK+G5/1D3z7U7MGQPLTm19VColbljf3ILcXb9fNDSy4hoaSdqEErGISqVQQdTVVnFZxKQx4ff+sGcTpQp/HyMPB0lInifIAIsEGPsHAMcJaw9teMdORVC7dOYb2aEuv+OlQgKVCrplMFQ6XAZ0XdPSu8PHMO8sRq/Q/GztCwAKKcquw9gOKjmonUWMzvyA5goIbKCUQaXQhHG5twiKtP6Tz31UjGonL/8zJ6T9XPS/l52nsfZ1HEzGliRMHwEAOcVwfjgewwRBHDubae0abmxqCaD8eorB8cP8AX3w478Y1R+zR2cUVSKrwNvDgdE9+KNQYMjFO5NwPgOf/aXtCzt+skCbQBKJpFVVLZpcUbt/y4gR3rt3p6mv8PnsmpqWL744qHZg/L//O7xmzYTExHQrK4GpqcG6dUksFn3FYve7p8A0sJlYNAmnr//Tovr883hjY+7cuQkHD97YsGGGra1RTk4ll9tRo6bjb0gH7qUESqnC7wcQ6t0lutLi7mLr7mKrUCikUjmTZcKga7Q/8gsZx87d0B3Z1NJ6MfW2l6u1i+MjcYyurK4/ePpGoI9jcB/nR7F+D+w4hSlDH1xvjISE5OmBtmLFisf/1KtXrwIIDn4K3Sj+0zCN7C+cOermaEXpEmM1lcKu3bquqQK2AZ3O7yy9cHUb2AIYtB8jEkpQqDCyRcF55J2BU2inancAVDqM7KCQIm0H7IM63WooxJBFcAxBfQEsvZDxLxhc3N7deqaS1tRqunGtzcC+fD7XhCBg0039CEBKDgYFwMMeUjn+PoaiSlzPw5zRXVsa75EWoaiuUXjiQrb/oOnefSPVF+uaa1sFIqs+LhgZCg/7JrEkqxRWnkP+TkgQ8Lnmpp3jHAoFyZkI94ODJYYEwkITcHgFBm7ffXPVqkNisTw+PiAzsyI01Ck9vYxCoVy8mD94sIexsYH2ytmzuRcu5EVH+1IolJSUwpoaobOz2bp1SfPnD1q6dN+yZWPodFrKpdsh3r17s1wWvH1kNKt58zZfv15aUFC3ePGItWuTzpy5/dZbQ3Nza+zsjFNSCidODD52LFsolOTm1lBUsuERBvfwwa1KQFwkQu7g/90OlUplMhk0nT+j+kZhUZW4rLKhtr6pvKr+SmbZ4eMppsb8/n3du/7lfEgYGnAKy4Vg29BUTTKZnMth6z24fCS0iHDiakfp3sPjcnoxx8g2ICDgoa9MQkLSI2QGi6QDR1dfFvOV/G0v8n0HWfaJANCRYZK2gmUIAH5jQOucczK0QMALSNuOhkI0lEClgFQEtiGUCojqEL30jsENmw9Ze8X07ZOwDwaNrjF+ptDQbwYKLsA2ELeSUOjTaNlobMLRVF8p6pGWrudr+3oetCXn/bzg54yVf4HHhUgCwb2EBZ1pamn9Y9tJBoM5440vjE2ttNddPPvuOre3j52FNudXXVnE4fJ9Pe3OXsnPzquaGNOvx8X/2ZGpTSClphbr5Ir0+7cUFzdqHRgHD/b46afT5uY8AwNWdXWLjY2Rra1RTgZg0OscDNMkMtL59OnF9fUiMzNDAOPHB3K5TAqF4uFhCSAy0hW6/oblyVCV97CmLnQ63O16P1wskeYVVhZXNtM4Fq8u+ZpCoTTUVSnkstrj28aPDvNyu4el7hUKhcKiE8PGvnzp5L+qViLpwqXp8Y/lgPL0dVy8gTfG9zzygWltbTU0NJTJZEwmUyqVVlZWNjU1CQQCZ+cnkbQjIXneIQMskk5Y2btZvvpv2e53y7OTWDwjMwMKGGx4j4JMpAmwDC1QeBF2QZpICEDNLeSehqU3hFUwc4ZTOBjtbW6Fl3DgI0QvBVufStPut0Dn4NJGmDih7BrcBuLabrjp/B7vEgkATC7YQocGEUaEaK6PHoU1X+GPP/DKKwBw+DJyisBiolWMJS92TOew8O5k/O9vNLc+SIB1Jb1wwYc/cg343W8FRMRl3jrl7+0EoLC0xsLa6fL5gy6ubgxIKSyn3MJyd2fbjtFmRriUjTAf3RX8/SzHjfu5b1/70tLGoCCHnTuvat1a1AN0/VsAzJwZduRIltqBMSzM5eWX//rjj5kAXnyx38yZf4rFsqgoz5FTz+/d+7panfybb47PmhVuYqJ5+7t3p/XpY3vw4A3dixQKRR1dATBQlaBVjzyYgAoIwaGLIOv1B/fXEQzube7kWmZhUWWboYmNq0/06GG+WsF3OoN5dMwL7AAAIABJREFUdNf30RGupsa9Ovl8EJgMqkwmDR82EYBSIW9sEhob3Yu6WO8pr8PO0xBLIZWhn5ceH8xHQENDw8svvzxmzJiKiooPPvggISHh9u3b8fHxDMZ9mkuSkJDcHdIqh6QbKT+iNhtU+vWCwr5jZ6EqG611cBvUMeDgUsSs1JwSVmagvhieI8BgI+sgzN1g0dnXTyZCymZY+4IgQKPCPkTTewjg5Dq4DgCDjaJLMHWB5whc3gj3YTDprFeetg1WPh12Om0NmpbG0QsQNRhyOQYGYKB/hwrAw+bM5ZzA4a/zjfTV1AM7flsxJMTOwsxoX9L1kVM/2vXrB9auwd59B9VXl9bln1Gra2pQqnA0BVduYkG89ogQZhEE21qbQMKd/VuamsQzZmxMSJjNYtEB6NZIqRGJpOrk08KF2yZPDr55syorq1IgYEdGuu7adc3b2+qdd4YPHry2Xz8nT0/L1lZpVVWLUChZsSJOKJRoC7+4DQfPlJUfLa74tH8A+0Fsbfaex/4L8HQAgDFh8L1bjiS3sKJGZh05fFKX6/W15Sd2fRcfHchiPo4goK6h5XRKPptnRmewq0pvT48P0y8T/4CU1+H3A3hv6v24CNwjulY5y5Ytk8vlTCZzxIgRjo6OTCZz7dq1rq6uffv2DQ//zzQTkJA8RsgMFkk3Qt+U1eUxpfWCnIUAYOWDwgvY+x5MnRE6A3X5aKrAiTVgC8BgQSKE60BNNstnNA6vwOiVnVZjGgAq2AaAZYir23DjICgU8Cwx+E2wDOHYHwAuJ2jK5BVyVGR0BFjqInczNxRc1ARYTWU48jni/oeEc1g0BUMiof3qfTTRFYA+HnYHt309Zd5nen30Js5ZtvuvVcP60UA3YHMMmAamteV5Jua2B7b/YmFpMSTcp6OUh0bF6DBEBeKPg3CwxNhIAGjNo4grzKhAuyKpAEADOADEHVeaKyXyVsybamVMZGs8myVAQQXyyzFCcxB5LoV1/Xp5Q4NIKJT07++8fXtqVJRnUlLO5s2XY2L8DAxYUqli1CjfoUO9/vzzYlub7LXXBhUX1+/fn+HubqFpEkzKiQ+GUKZoUyhUD/irV3Imfn8fFAoIAp8nwNFKr3yXRCI7ffmmnMKPm941ugJw7vDm8THBPahyPDzMTPgTR7VLbYWa33XsgzxGAB7nMURXXYiJidm6datAIDhz5szixYs5HA6FQlEqlbW1tY95JyQk/xHIAItEDyUbp9DZPAoIjVa7cyScI1FxA6lbUZuLqRtQcB5KGdyHQi7BpT9gFwQKBRQKzN01PYC6UGgaq8GQaZorSjkUcrgP0bwc9CYy9sHKF+HzcGotVHL4xQMqnFuPgW+gPh9sPs6vh00f3DqB4e+BwUbmBUTPw2NJbJgY84aGOv276csxL77F4Xa15aHSaC/M+ujwjh/7RsYBGDX57c8XTxozdfGoCa+mnj+0aefpF+Mj2SydbBOHhTfHY80/GBoEQ07PkgpAvUS64GTyWBf7lwa6qk0YNdBbcGgfQozUn0NWpqGfn01sbIe7UViYS1JSzrRpoUVF9T/9dDo8vFPrpZubuUgkzc2t6VL4FetsF+v8wNVOE4dg/T4sGAcKBbHhOJqCCV0FHuobW5Iu5I2Z/h6Pr7/HkMZg7zicKW2tnf3icL0DngkIgvj3SCqDyQ4LsLcwMwKLATr90SVc70RERERERAQAhUJBp9MBfPXVV49zAyQk/zUeqLWK5HnFeNrWG0U1N7mhGiccNTZ90H82Ri4FlQ63IfCMBpWOokug0jps7ByCkbYdwqqOWRc36BFwpzEgqkH1Lc1LU2cY2QIAlYqoxXAMR2kaKHQ4BOLQchRcQtBkuA4AkwMjW5i5gWmA//sE//sJbQ9k29J7LM2Nh4daH97+nd67dDojbto7jq5+APgCk1fe+lwul/YbEOMXFFlZWf5zwpHUjLyuc14ehY2Hevl0HpMRbGHaz7JzTuV2KT74BQP97xRlstkM9Qd//nxeYWGdjY0Rl8twcDDZu/c6m81gsxlUKpVOpzIYNAaDJhJJq6uFGRlloNBBoXf6c78/+nmBzUJ5HQAkXkBcRPch6dmlo6ctuVN0RRAE38iMzyUmx0U+6GaeKNm5pb5h42JnLj+ZUiRXKAFgylBs2K/n38VjQR1dkZCQPGrIf2kkejC18+zr6VRcdk4mG8BUf39nJqKlCjZ94KRTriGX4PZJRMztuGLpDY4xym9AlQaFFK6D0FIJD33pB74d8r6Db6ymxzBwEggCFArq8nHzKBQyOPaD8wCU3wCdDSod1n4AYNeu6cA3wruz8P7/sG4FWPebx2IaqWhGem34uqBQKKrE1d5BPfi6qPHy1wQTA6NfdPUOybl2tqS+4cRPu+JG9PfxaJersDCGnzO+2YHX4ns8LWJSqR+E9Ol0adVmCAxgwIWwDW1S9QqL3x2mKyo2e3bE/Pl/Gxtz29pkTCZt48aZhobs6dP76y4zdKjX0KFeANatS/rkk9EdEqayelSf6s2bvSNKFYoqITDAlZvo76M3CmSz6TKppPt1mVRy5VxiVdGNED9rR7++3Qc8W9wqqHlhaH8KhWpm5SyXyxl0GiyNMSIEK//ClKHwdux5CRISkmcQMsAi0Q/NxNmhrbqjyFdYCytvOIZ1jCBUSP0bsjaNR6EWpQS1NyETI3wuRPWw9EHtbU0/oC5UKkJnIvEDxK4CnQkAGXtQmwdCATMXBEzWDBuwAEmroZJDLkX+Gfjo+OL5BuF1E2w/iZkj7+89ZhWxP/j8Um9U1OnAX1//m519PTExUqlUWVm9l5AwOybGr8uwLi17AGzs3Wzs3Urys4Jc2bY2nVNQQ4Pg7Yif98CUjxkju4pM8tzW/VZx8FCWlRW/vl60d/cr2pp3APgm+typ2xl2DW/MC0ebGEwG1KeQKrlmAIWi64GzY8dVhUK1dOm+N94Y0tYm00iSrojbtCk5L69GJlM6OZlSqZSKiqZ165Kam8VfrRqqP63US3afwe0yzBwFQw68HbEhUS1b34X6RompuUY1VNjccP7YVnMrRwO+adalxIEhrpGez4N6U0Nji8DKk0KhAhC3NnI5TpobAW6ob8G1XDLAIiF5XiEDLBL92Ez6KefgNweOXYwZHkan0+EchhuJcNHRUKjNg7kbrLwhbtVIjMpEOPwZaHQMe09jLMg1Ac8Ceef0P8M2APUFuHkUfnEAEDAeV7ehIgMBkztJZ0W9AyoDLAYqs2Bk39FOCKC8Dh72XZftNcdPl9xJRT0h4VJhYZ26yc7CQtOrX1BQ19IiuXq1WCDgVFY2z5mzSVdyfc6cCEND1qZNybrdeepQZv48v+zsElvrbsqo1qZY8iLyyvHZX1g0GSY6ogAUJqiMdxePjI31X7hw2/bdWSkpReqoqKFBtGbN0fp60eDBHvnlktWrj3K5zLFjA5ycTNWPs7U1Egi4uh44XC5z8Juf+4Sam1vGLnht6/LlsWo/nJSUopkzw4RCycSJv86ZE7l69ZHhw71v365e/9vlj+7PtaVZhK93YExYR8WVIQfONt31KaQyuZLK1XYAnDq4ScBoTj51NSzQa+LoEDwvqFQqNqddYEKlI3HRKERGARaR1s4kJM8tZA0WyR0puHbcsfn64dMZAGDlC7+xaKnU3KvLR1kaXAbCORIGJlApcfwrnP8FMZ8idlUn2+a6fBQlI20bSlOhkEJUh4NLsf9jpO8BAL9YcAU4+yN2vgkAhBKO/QEC2Ycgbz88orefoImFsGgXF827iR9+QkYmQjqrQtwLs6b5ZGVVREauOX78JpfLVDvuAUhKyrl+vXTs2IABA9z278/Qjo+L89+37/rOnVcnTAiqrxdpB6enlw0c6Obvb3f1asm1ax0TV68+8vHHMQMHuifuvymlGH3/x/68oko9+3CzxXtTsfkoftkLYZvunbVrkyZP3iAUSk6duqVeatu2K59+mvjRRzHqivU1a44uWRJtZ2ecl1ejfdxHH+3x9bX+558rn38ef/HiB1KpPDW12NKSV1bWCEArSVpX1wogKMjByUmjQFFYWK9WMfVw16eSr0urGKu3oEEIAMlZ+O0ANuzHsStYtw1LpiDUu9NgG1PI5F0WSDqXOWRsx+Hy8Pi5ZdWihbPH9Ovr2sOjnykyb5c7urX/SqAbYLGY3T8TEhKS5wkyg0Win+qKYtM+keZcSeXRHRL7VrZrf1j5QN7+9V+UjODpHbXtVBoiXsGlP8Hs3BglE6H4CiJfA5MDUSMOfoqmcgx+o6OQi8qAVR+4DMLVrTj0KShUuA5CWwPsg5HyFyLnd1rNfRAOfIwhbyP1GDbnYPIgjBn7IO/xn1237qKirm2y046PjfX/+uskAF5eVufP57a2SnUl17XDtBO1oczl5FYbgaxPyJCCemr6zWsudnwfD4dO2k48Lt6eiLpm/LYfBGBtivk+AJYsGaHuChw79ieNUHtOZX29yNbWyMHBpKqqpaZG6O5u4eJiVlfXqn2cQqHy9LQiCGglTIODHb5bOWXGjI0Z18u1kqT/938vfPbZwUmTfqVSqWPG9AHw6qsDt29PratrXfFhJHCH7v36Fmw/CWEbZkRj81HIFbC30OSrCivw6ct6DPVSbuK1OPWPxWU117OKPFxszR1DKktuHd3xNc/EjkajS5pKxg337zrx2UQmk1fV1JdUNtU3y+09+9s5aX4HaJMqmlpajfiGAMBlgSAgksCAfbe1SEhInlnIAItEP9XX97tY8SxsPOquHautqbev+hXhc3BtJySt4FmCZ4UuTm1VWV2vALi6HSHTwOIBgIE5xqwAQeD67k6V8lxjAPAaibZGDHwDtbdRfAW+o1Geicz9oLPgFa0Z6TkCtXloa0TISCTegn+fro+7R/x9ze6iot7dis7QkEWjUQcNclepCIJAF8l1LdqJuqGM2nkGAEEQpYU3jyUfdLak+3natYkl6dklpsZcE4Eh14DNeGsig07DX0cg7NQgqbuUo6Pp1Km/V1e3TJ4cMmVKyNSpv6enly5ePEI7ZsQIbwCRka66HjgA9u59HUBQkEN8fIBakhTA7t3z6XTa9Ol/MBi0uDj/YcO8AHAr8u/43f/tTrzTfpr5ducTLpOObKJUJs/OLS2rbGYyaENrGhlMhqhNknQ+29Q+oKY+k8pR+vd3zzj3z5TRwRKJDACbHYhnnKqaxrOpJXS2IdeQZ23v4zPIx8TMSnfAC7OWHt+7QcCsiAzxAAAVQUZXJCTPMaSSO4l+bv8Y4zZmFpVOzzl3VNlQ6ufljJxD6DsZyb/BYxiCp3ad0FqDMz9iwGsQtJvDEARS/0a/bjYgTWUw6iaz1FgMGgt8K6hUOPgx4lZD1obmMhCAhU7vXmsNrv6DwW+jpAhrfoEBG0vfAc+o62q9ROBL8LzurqJ+F3ozWKuu3v3Wtl+X8rkUJc04dMiE/Jvpt7MuiFqbOSy2u6NppI8z9RYw7qU7LdXSIjE0ZFGplE2bkn18rP/88+JLL/WPiHDV+ziCILRXVCqCSqUQIiGFSQCUo8duDRvq3twsuZBcODZWR3ReVIs5L2P1a+DodDgqlPgiAdH9ENG1ul9Nek5xZU1Tq1jFYhswOALvwCEOLj5t9bXnfvpMbMvjGNkPHDk9ae8GubCsWUzp427ZL8CN+micm58Iu49ef2HOZ9SebMXzc9IKU/cMd7DAxoP4Yu7dBz8gukruJCQkjxkyg0VyBwg5lU4HYBc4MG/LSklwODv2C2QegEuExpSwC4YWGP4eLqyHsQMCxoMAbp+AlY+ekUZ2KLwIZx1hpKZS3D6N/rMAgEoFjQUATC7MPdBcoRkjbsb1XVDKNOLvDk748Utk3ETSNYyPus/3KKmhgDBjAi2aCwIK0AIOgDuUx7SJpYWl9RZ27maWDgIBB8DdQzEDgztKMEyau0KlUjEYTAB///SRn6djK8vY1T/KxNx26+GEfpHRXYrLdJfi8zWZjxEjvLdtS124MMrb2/pOj9ONt9QBjbQlNyn3TJyz/Uh/oK7IFBgbAlSVdZoW2Qd1zbC3AAClCmm3kXgB88fCVr/EeVFpdbPKetjkN+kMhrppTrNtM4uRn34vk0pYbO7NjGQnMyRl14weFuLr+Vx1z7WKxDxThx6jKwCu3kHSlR8i3AtThj6GjZGQkDwpyACL5A4QGsdfniHXI/YVJk0FOgd9J6EoWSNJ1R0WD2xj9BkHAri2EwwWrIZobmUdhLAGoTNx7me4hEPUgKv/oDITMctx+hsI7BDSnhJrLu8Ue9Xl4dpOMLnwnY5hq8DgdtxSKaBswLiREPTgyCtsbQNgaMChUCiQVEPaXl0kre34uXf8vOMoraZ5VHR4ytEGqZIRGjXZztmr52n6oNE6PGBcfUOLinNUKmTv+JUg4O4TKBQrtvz6GUPWFHPssuGAPpT4ATBot5r5difGD4aDBQAb4N1JKBUmFWcTjjvO4oWBuHoTQ4NAoyEjH+duQCTGyFAEuKK6EesTsfQltEl+zi06UFASZG5qa8i9w+6AAf44lYbpI3AxE0mpGOiP5Xrqq0RtksrqOp6hwaWMsimvva43V0ehUFlsLoCbaSeHhtpVVlV6ud9/7+fTybWsov9n7zzjorq2Nv5Mr8zQe++9CYhSBBt27EaNMTGJ6d70cm8S03v0mpibxGg0JmrsXSxYkaIU6YjSe4cBppfzfphxaENREZO88//5YWa3s88RmDVrr/Ws4Mg1Ixx8c/pE72mD/BLp0aPnn4LewNIzCHcMLAAcm16HdI4TIBHgz2ewZBMofSNI8o5BIdEk/YWsQHEiMnch/Em0V6I2F4ELUJAAQS3sQmAjR1UGTF2R+DW4JghZ2bMIiQxuLx+JSzS4Jrjy09s3niksTD127IU+MlTzRvQpZcDreV1cWmdKEZgY8QcfPiR0Kow4Xu52Xu52KqUqLfvgtYuqoIh5Dq4+FMq9/zYFhU+vMjWn0dluPmHtLQ1nj2xNPX9QqZRVV5RXidvsq+pC/v2LKZ9tEBdGCvfBiwvw8U582CPc9Vl6jhKqLa0dMOZimlrjgIC/M/ydAeDL3bA0wrYTeHs5KGQYsNcFes52shnKugJgbYLKRiTlIikH6x/XOUSlVB27UBAwYV5KfqpPyIx+1lXyuT8bqm/PXLaOzbnztEmk4tJaL08vygg8PX8v2roUphY2w48DADh6hpdXlTjZWw4/VI8ePX9b9AaWHt3srzBYdX63/ZQVOvqqs0DnoK0G3S0wtAGLByYfEgE6qhH5fM8wl4k4dQ5NN1GZjqgXwOKh4CTM3ACATNPEuZNIqMvtszjPCjyrnrcEgbIU+MXjfB8ZKgClpc1awcw9e9LVslWrVoX/8kuSWp6qrq7jyy/PsFi0//53WXl5i3rwu+/OyE2t7ki/4e9uaW9jRqPd3a/A6/OnaF+TKeSJ4zyUKlX+zbOnUvaxjB2mxt9jWKGDs7eDs3fBjSsb3l/DYbM9/cMCxsfZu/js+O7frVZ1Ymtns89fL85Jlh0/ZLr7gjWDwpUrVEoVmUIGAPOYf8/0VyqVyokqirmFjtW/jkZtM16PhLWJWmCMCnhYAsJKCMsH3dO5DNysREwg3n50sCG3ymuDIuIdXH1vZx6pyE2wcfToHdYt7O4kkchkMk2lUuVlXvYJjHDzj07Y972Pt9u9PaW/MmQyffhBdwgcP23/lgs2lib0MSmmqUePnoeC3sDSo5sFJmV87iBS2g7hsPbFuS/Bt4aVH2yDUJuNqgyMf7yPQGjJVUi6IBXCfSpYPAAIXYXSq32Wsg9BbY6mSI6avCPwjUd3EwwsAEApA9sEtoG4I0OVmlq2aFEwgC++OK0VzMzOrl61KryysvWnny4/99yknTvTzp0rOnEi96234oqLGysrW7WDDxzIfuaZ1QqFvDD76oWsm6KuFmMDTBrfV7fpbqCQyQHeTgHeuFVefznhj0kzBzVHhsUnKHrdew5cnhGHq/G5rXz2ffULNocXEjUbUbPlclnOtUTa1i05G/e7RPsH+Di+tu50SUlzc3OXn5+Nu7v5Sy9N7i0lr8HVXMf1pC1D7aa8HptfHqIgMUEQ2Tfrl6wNEXZ3trV3sVis3l5PANMXaMzNE3s2EMIaqbjLJzjGxNLJ3eGf6Lkh34WpRKZQouc9m5h8Ut7dMHuyf89RsR49ev5B6A0sPToQNZfTjG34TEAuBo3Vp+/2JZCpcInE/G96GksuImBhjwgWQSD9d1j5YP43oPc6h+Kaw2c2xO1g9SrEwuKjNAmu0Zq3UhG6GnH0TQQsgN88UBmg0NFRA5j3lqFCL8HMoqJ63FGfOnTohqOjqVqeqq6uw8nJVKkkWCx6v8FUKs0/JNY/JBbA7cKM6zmJYQGu9/nQ3J2smjOKS2/ecPG8d8UBC+s+od9sDq/fABqNHhI5C5Gz/AmitqrkWu7Vn39+4vz5m1evlqxfP+eXX5LIZNIvvyQVFNRPm+Z18GDWQGH6ri6JRrB+vf+gZ4RyBepaoFDp7Gzv6ErOKlOAFT17LYVC5fGNH39ts1QiYbJ0r9dQW+HuGx4aNZdEIvG5VBenf5qBpVKqSNS78GABsLJxtlr6Umtz3aEDGxfODNHbWHr0/PPQG1h6dFDf0g7HMJjSkLUPLaWgMTH1Dc139KoMxL7aZ7S0G03FkEt6FBnU7ii7cTqWFragpRQu0T0tChkaCqBSojQJDA4669HdDI4xOqqRuh0mTvCahsNvAsG9ZahIJFJvaagNGxLVAUAqFaGVp1q1Knz16h0dHaL9+5/pPbjfjty8Q45cPzUqzy0ixGP/qT9tHT3UMd0PFBKJZOvgZuvQ57gtM7Nqzhz/nJya2FgPAwPm2rVRamee1sN3/Hium5u5pv1CZXzkgHUPXUFlA0RSPD2nT+meXmTklQdMetTOsSfNkUQiD2ZdAXjq9e+0r5kGFiKxhM3SRO8RBJGcccuAyw7w+huHvRfernbzGfgoh8fEzHrCjCczcw+PD3owx6bJuVCYPJCV9ejRMxx6A0uPDhpqS7xsnWHEg5UPAAjqkbodwUuhlKOpGFD1KbJUdhUGVqhIA9sYlj6ozkRXPQT16KiG4YBPTQYP5akwcYKhHeQSUKhgsBEwHyDDLQYkEorPo6sO0c+DTEN3M3KPoOg0TBy/eGUhgH37+gQ5aQUzf/ppJYDp072Fwu97y1PFxweqZRRWrAjrra7ZDxNr95bWDlOTe9XT6sW0CM9LJ3+LW/Tc/S91P4SHO3///QWdwvQ9gvWqvhp4da3YcgzzIrAwWveid4id6HMpdU91qc/EKUuGGKaQy1IS9ytVytjZj2kbo+JWXj62cWZMAICOzu4zSTcnTHssN2n339fAIgiisKxt6TQd1axHgp2TZ+pZYVggofMn836hUeHyjyo9pEfP3wi9gfVXglCCUN1VMMcDglR1xch9Us97vhUCFqAuDylbEf44yH1/bJwmQNiKoKXIOYBqEVjG8I9H1l7kHoGoAxPW9EiPAmAawCsO574AywjCVrhGg8roI75g449Th+A5A1wzcM0w8Wlk7EbAQrSl998lAU7tDcjFalkHsUJBOnKRmBNdWdFEYhh5B0ahr0jVEJJUwRNnXTn89cyYUTCwDPkGhLhc0N7CNxqunN+oMvDTubczD73UsHraebKF0b1uee95/PtRjCDsmkqhTInw2X00rSDzMotJUxKU2Dlr7F36aJ5lJSdUFl2hkJQMQ6fe7QZ8YxnBAtDQ1J6U3bBwzYdVZUX21qPw5B8W127cDo5eqLNLLpepdc6GJnzqigspe6dE3KlMcCELSbl4Zh4sje9rZ21dYN7dwaUePXpGEb2B9Veh9eLGruy9IqphHclKaTV+4rRlBjyj4ac9GEy7CkmkmD5NanPH2AEV15DxB0IehVKGtkqoFChPRfgaABj/BACoFMjYBQoDvnPBs0LJZZRcQfAjPSaATSCcI+E7FwBUSrD4/S/kEon6PLjdkWE0dUVXA2h9JSEkXai9AZUSzpEQVqoIvLzjCKm0fqmVVWh0vAH/7j6ZOFwez8o372aVn6f9XU3UScx4z9PHt85/7O37X2qETJniqS5xo/bkbd68HMBXXy3qpzU/fbr39One0GrQN+ZDdlOzBEFArhzMuuoQdBn2FRtTqlQgkTz8J5LIJImoe9+OL9e+toFn2HMaRaXTLYyZF65mB4zrH3HFMjA+fSlbRbecPO9pGp3RXF8OsbS33PzfiGs3bkuoNq5eOk7Dhd2d33387Ntf7Br2vuxdvNuaIxKvJk+J8CXVNONyNkI88fsZmPCxYuq9G0kJaXC2vse5evTouW/0BtbDRyaVHNv5SQgpx37Bq+T2cu+iM90+kyt+nu36whkmexgJzQcFodDdbmQPrilOvIvqG2AawGcOuKZoLukzpq0CYat73npOR3U2KtLg1Kv+oKU3xJ1oLER5GphchK8B8040d8U1cE1h3kvG3MIN13fCOhB0JkyccPl7cE1h7Y/uZtRmwy0WQNnJrU6mgd4LX5zsG35vdxwxddnRP752dZSymIM6ukYIk0l3MCPnZ132DZ40/OgHQOKhH6ZOcAFQ0tg0zsKcBaADUCiw+RBeWgQKhQ9ABJZK1jPnp6OIC9W52vnk/JKKxmdWTundKJHICJVSJhV7B8dY27lMm/90v1n+oVNyQH7141fZnP4/w5PnrCm7lZN1ae+lQ197hC4Mi55XWmz354kD8VN9tbFZf1HYdqD3fO0pr252mxhhbGqlc2xD9a0FK14YodUYGD5dEhDRUVlqaOJO+mEh5AooVSCTUd0EExOw7+mxmJRCUTP8MD169DwY9AbWw0dYeX1C1zGbRf8GmYyMPzD+SS6H5Rwxo/H7iTLLYDEMZGxzqnWQrWswnckiVCqeoUl7+Q2mqoPt+kBKbXRU5VA4unQ4lXJc/RGmzrAJRMijGkWG1jIAkAlB50BQh6IzUEph2jcjzzYAGX9BNIPPAAAgAElEQVRoDKyGAmQfAJkKh/HgmmLq6yhLRtp2hKwE1xQABLXwmAamAQAI6nFjH0hkkKkoOAG+FVK3Ie7fMHLUrEyhIunHW3Ay5nDffuyL+7zx2LlPJp3YND36fmtIAwjydT5z+QKVSvP0nzj86NFG2NUBRXdyfeMHaTkfhgdOtLqj0TB3HN7/AU/MguMdr5JCiZ+OggDCPKErj7KqponCc3H1sbuQnG9jwTficwwMOHtPpFs7erENTLhoyLu8XRQ839U7ZODcgNBBShiRSIVZlyZP9CRUqpa2tP1bjkbOempczJLikjM8LtvZ0eYv68p67+vigluiQ4eeTUkpvXChmMOhr17dP81Ti4uX5pls3Ji4evWEftoZn32WoFIRly/f4nDoFha8zz5bYGLCYXr6a7q1mbv8AVU7R46zMxr1BpYePQ8NvYE11hCEquLiz6qMLSQqvdJ4UruKYUsXjOMAZCqu/waQYWQLgG3n7bDgX4rEb1VBjyiFrZ2yzJJrBXK5zKQ9v6mrjktXVhOmteaFLl7jHVy9maxBxYrugabre0w8wnR0UGjgmMJnTp9GE2eEPopLm8AyQncjIp7B7UvIPoDAxT1jSCTYBiFtOyQCKMRwmwyXqJ5e9ylwjkT6H5jwJM59DiZPY10B4Fsh5l9ovAlhM6Je0LEl/4WdF7dwum+brt5/v7cN8PjGLMM+LgoNZLqmPOLdEB5pWVZ+Mz2pbVzETDJ5TJPw7d1DbpUVRzhbrwv06rGuADhY4J1H8eVuRPkjOR9GXHSJMC8CPk6DLWXE54irO2Yufamzo7Whpqyspbb0eqawW+DqHe7k7pebfrG+LVnY3XFX2zu849PIIOu0GyUyuWLxrPDikpqCG0lT5z6eWJx5u76NzxOMSrbBfSKVyjo6hWYmhv3KUTc3dx07lqOuDq6ut11S0qTWs33ppckbNyaqlW8LCup27Ej18rJ85ZWpXC6jvLzl9dcPqCUz2OyeI7+33oqbOtVrx46UP/9MnzHDRyOf8c3inTvTiosb2tqEVlZ8iUTx2GPhmzdfVHdlZ1drV9Ze2t3dYtWq8OLiRpFIRqdTNAOWOSB1rJ+bHj16tOgNrDFF0d18YPun4bYql1mPg2fpDIBEAYAuDwAwsOhzuKZSUievA8cMAAu4I9GtCSW2AjwkssqaqzUXX+8GjzP+GadxcVTqKATI35QYzXPSlXlUkwVBrY52S29UXIOFBxzCQSZj3HIcXNfHwAJg7AieJSh01OXBqc8pXleXMCmzJEhFs5IIQKLoMKQsPAFPiNvB4KNviZWbpbW3qTPnPPeyjhjvu2Tu3B82bVoWNfupzz5LsLMzWrWqZ5MFBXWJiUVHjmTb2RmXl7fs2vWkvf0IYrwo4vdezP7ss8BNmy6uXj3h4sViPz8bd3ddSuujTdCEuEPbrro7W891GpCax6TjtWW4cRuLovD7WXz+zNBLGRhwFOIqADxDE56hCRAaEjl778/vXj2xeXdty6zFzyx44v273R6HZ3w9t7quqYvHJh8/n0timkZMWUymUKYvWLt3y3rje65idK8oFIqM3LL6FhGDyVKqCJWSoNDodDafb2SZVniLrOgMD3Q0u2Pzffxx/PvvH3v33Vm4I4rx5Zdn1Hq2zz23a8eOx9XKt1lZVTEx7hwOQypVZGZW8XgsrWRGfHx//d6oKLePPz7p52fTW1ZjwYLAS5du+fpat7eLdu++ru06dSpPu7L20hs2JC5dGlJX19HZKUlOLtEMoCjH+Enq0aOnN3oDa0xp3rN6cuh0c5sBbn+1arnXjD6NHBMQRP+RvWAy6R6udnB9SdVR15Lza2XKZzeNphra+jl5jGOxOYLG0u6iszUCKZ/oNO/MVjpNd5+/ftgdyiVdJEkblPZoLIKBBcpSIKiF43jYh0LcAaUUe9Zi6f/Qr+5e+BNoq+ixfuzDcGkTJr0E0p0WQT0EVXCbAueIPpeTKxIu5c574qP23xdVHdusZPBM0vbxnPyqC3PEjZWWZnxexHIw+QBw6kNEPQ/zXlURhc3tNzPnPrtz2JsayLWLh6zsPexdfLQtq1aN37cv4+23ZyQk5J8+va60tFnrTkhLKwPwr39NmT8/cP/+zPXrj7NYNG2Jnt6ehg8/nCsUSr/99pxAIP7668U//rgyK6tK7ef47rsLoaGOVCr5iy8WHjmSbWNjGBrqqL50dfnN3GunCYWIzbeYPPfJe7idgdDZRgqlUrd8JZeFKH8ACPdBwjXMHEZfgAyZUqnQVlqkUmnL1n5cUpwzic21tnW+h73NWrpO/aJfkl1TQ7UBU97PY/RAEUukSdeLxUp2aOyycDvdcgZSiej6laPJ2UUqlbyz247LZbz1Vtz69cdnz9YcJWv1bDs7JVox26eeiszIqPzhh0sTJjgDOHUqT6t/O/ASGRmVPj7WPfIZShWAwEC7jIxKNzeLwsK6w4dvcDgMdVfvlbWXZrPpSqWqvV1EoZB7BuwYRm5Djx49DxS9gTWGECpuez4VEcOP1JKxCzIRIoapcEc2tDaftMIccAFaGxs6Lq9XdVay2RwTK2ff4IkKhZzKiOk8/tnhXwkjC2dztFJvHVZRmeKw1wNCp5LvWEWEUtlUVdp2+KnoyPmoSkddLlrK4TwRLpFgcAHAbTKcJmL/Oqhk/Q0ssQAGvZLFQh9FxTU03YSpK26eA4mChgJQmXDrEyjd3lDTeGnPrHmfMFkcq7WnoVIIBS0tpz9oTj5nQe6wnvpqScr+5oQ/mu0mhYf4gsaAqAXQGFgEQRReS/VG2V08zF40VeXXVxZpDSyVUjkhlP/jj5cXLw52cjLlcBi1tR1an4Gbm/mNG9UbNybu25dx/vxNa2vD48df0Jbo6e1puHz5VmJi0dSpXrduNf700+V33plpZ2f07LO75szxnzHDZ/Jkz127ruXk1Pz6a/KPP8y/XZhZVpQuFtTZWXCmhznQaNTDp9NVKhV5NAoh+4ZMzy08Few3pAEUH4mN+4Y1sLxcLK5dOjJxSo9Lkkqje/rqjoi/K3pbVwqF3NzSzsgm+OyV3EAv29TMW3Onj39wxpZCobiQUiglGUbPWje0oAaDyY6avlz9+kb5UQCzZ/vt3JmmHaDVs33mmWitmO2ePeltbUIjI7Y6f7O3ZMbChRqhfxIJn356atu2ZKlU8fvvT3z44Qmdshr9pufl1WpX1l56wYKg557bVVLS/OabcadO5d8ZoFeH16PnYUIihvSRPCC2bNkCYO3ae6yM+/dFVJt77sT22dGeVI5Rj3dHTWMRmLw+klEALnyL9ios2jTMuio50nehpQQcUxg7wT9exxhpFzqqBEo2kXPEcMbLBEGUVzcU5pdacmk0noW8sUjV0eZ3OZV44ym28+CVXhpL0FSJsNUgU1CXByM7VGVALIBSBp85PbFT3c3IOwb7cWAaggRwzVFwElY+UMhApcPEGWRqw6UfJdW3bZ89RWUPo0Zx7eKhluqCibU/EbM+YnbcJsw9r+dVkQWN3tbGZpNfAetetIJKNkYpyBTPf11Sv1Uo5M31Fe99mKpSEcuXh02b5vX224cYDFptbfusWX6mppwbN6odHEzmzw/cvj1lzZrflMqf0tMrEhOLqqvbP/xw7tatV6dN8y4srONwGDt3psXFeSuVKltbI09Py/37MxsaOtevn7NjR8rkyZ4kEmnbtqsSifyFZe08FuxtzLV5c3UNrXnVRNzCZ+/hdnRyfPt/5k4dsmjP5WwIhJg3vMWfXVBRUiuMmrnawtpxtLbXm/Qrx6qLr4LGj1/1Vkdb459bP3ey5s+afO8Vh4blVkm1jB/qG3wv8usD0QphCIVSrZhtR4eIz2dp7aR+khk6GWJM767eK2sHSyRyJlMzSzNAkLtp81Zjh7BVq1ZBjx49Y47egzWmsG38x4fHVR1+2fmR/2hq/BUmoOQy2IZorcLCDf0nsAwRuAgAxB3I2ouwx1CVjpYyhD6KzN1wnwYABqZI2Qr3KWgqhl0gXGL6LyKoR3MxavNQc4PvMw8e40EoSWSqs52Fc+sViZG7UlDEDHSiCOgoo+HHI7AtxUuLoNt5wMGsH8+eLVy+fGtDw9c0GgU203p3JyXdzs2tfeGFWbCf1WeeZX/BgiZOlv8L34MxfMDN+NiFwEK59PXUEz971F2myo+FeMwymPkuMn68B+tKKe2q2L6C3lVJGPTEJ1GpNCs7t1WriOXLt27d+hj6+gyWLu1ROfLwsDAwYA4s0aNl7dqovXszWlq6X3tt6jvvHN60admXX54BYGXF37s3Y8OGJY8+um3z5uVhPiXorZIAJN+oXPz0J3d7O4NBECrSsI6wKzl4b/VwgwAg0MfR11OZlPRbqanXxClL7397WuQyKZVGt7L3aCxL83Xj//7jB2RFZ9Q4J38vh+En3we2NmYXstJHy8CiUZGfeUnW3WBqY8Qx0kRr8Qki42Kpi1+ssZk1AD6fhb7KtwMZYoyA6KZISdzOZAiUhgAkmnYWAAEA9Ag5FFQadnZjgg+UkoHr6NGjZ8zQe7DGmvJN0Ww7N2NhOS14IXiW6G4G1wyCGlzbien/7j9aKUPil5AKQaYieAmsAwCgLg/pv8M5AgwDmLvD8E5EV2s58o/BJqincLKalhK0VqI8GX7zcPl7uMUi9FEoJLh9CTQWXCcBgKgVF/6LOR8DwKe/4KV48MwxEIYtzMMfffRXHo8ZF+dTXy/QlhAWCqVffXWmtVU4aZL7jBk+3357Th2ltG9fRkFBvVKpolDIkya5HT+eOzCX6u4gCNReg+296F11tDdfOfBtuJchn0npzL8gots7rPh5sMFDuBN6OyoGIhLJALBYtH4DZDJFU1PXc8/tPnr0eXL98X4G1oGEzNgFL5mYjZoy5PAerA178eqyu1ozI7dMRLGNnP7IwHNMYZcAIDgGd5EAeHz3RpKsqb6pc81rm65dPm5GqZTKVDaWxkaG3Lva1b1x5nLuhLkv8+5Sk7YfSqXi1N7vIW2dOM4pTyj+9kbBhqhQN0NeS1tnYuqtyBlP2Paq2DgSzl48ZECumeBiDwDdIvx5AU/N6ZLJVyZcdDfmfxOpq75nPzbuw4sLQaMC2PTbZb0HS4+eh8UD8WCJRCI2mw1AJpMRBEGn0xsaGvh8vlQqVSgUxsb3V//hb44xTdpSXaZkkq15lgDANQMAvi34NpCLNW4tNaJ2lCUh9FEY982it/ZD/Ff91yUI3L6AyGc1VQKz9iJ4GcpToZDALRamrvCYAoKA4wRQmQCQ/geKz2P5Fs307IOIfl6zTkoSzp/Da49g1oI+2XkyIbrLOuj+9fWCp5+O/O67C2ZmBtoSwpcuFX/66fyDB7MAfPHF6fXr56ijlPLyamNjPS5eLI6KcjUx4Q6RSzVSSKR7s65Ksi8W3Tg3dZJGzdLMfE3C+awh/CT93AkEQUjF3QwGjQRwmIBKOthEtlrSQSWGrI9+AR3ISb/91UeRZGk9iP7BznOn+Kdd2ioQKkkUJoXBtbL3MLNy4hmaGPCM7k0XSkXlNbd2mA0heXD3y4b4O1fWNJ387X3QDWPmPtm72EDC/h+cvcYFT4hTv21pqK6tLA4YP3WwpQiCEHW3u9kZBfs6pZw/0Fx7OzjKhUGnnb2SL1FSuQyFVE4olIRQJJkd48szGE0hEjUTg12uXzk6Ze4T97MImUyWiVoXxQUCCOVypthaOfC4AK7nli9+8iPqCOrk9GN7WUFLa+kpR0samQwOHUZs/GujwX9fejPE14U/ArtTqYKKUFtXevToebiM/u/hN998IxAIVq1adfHixbq6OgsLCxsbm6ysLFdX14aGBqFQuH798Lls/2D4K/exfxxX6/eq5v2V7yFowORXYePXx7oCUHAC/gs0AebDcvMMTN165JoIFa5sBp2NWxfUWucAcPZTCNsQtBgAJjwFuRgZuwESSCS4TwHPCgBIJGz7BHxD7DmAD36GsSmifBHsCQAXN2LeT3v3ZlhYGJw9W1hS0kyjUbQlhFtbhTY2hvb2xg0NnY2Nndp0KgDh4c4XLxYPLD88xtDOvzl3yZs9VgWJRKbRZFIJnTEimWwSiSSXy4/s/Nzdnh/o7USmkFvE0qcTr/4WF80bQf0+NbNDADSj5fbALgadNilco8GhUCrrG0paCrNLusTdYpmKoBAkKotnERaz0NDIbITXmrvi9f3bPpwbw9Qtj04QkMpHuFRvHGzNHWzNRWJJ4sFv3IJneQVEFOWk5l0/Z+Xg4TcuRjtM0N5yeNd/M66eWvPqNyRdp5UkEmnZ2o/yM6/U1qU0NtYGRcSfz7hKQOkaEOfpN7GpodrY1JJKpcmkktO7P5k3NfAetjo0HA67q61k+HFDQiKRWQYWcrmCRqNyaNSXgzT/g0oV9R6sKwBfLlh76sA3NK2DcGE0yuoARFrr8igPJDkPE33v4bp69OgZdUbfwFq+fPkPP/xgaWnZ3t4+depUW1tbCwuL4uLixsZGKpVKpw96sPL/Bb5DzaSfaivSHR3FUEjQ3YK5nwIAxwRNt2Dm1mMBKKQQd4zUwKrJ6iMBauaGsqvg22pOANVY+6IsFSZOyD4AcQcCFoJvgxv74TcP1F5Cmpb2ALBmDQDUF+H7P9EUjpBA5FdjEXv//tQjR57nchkWFrxXXtn33XePqCetWBG2fPnWxsbOpUtDHnkkVBul9N13F7QL68ylGhsE6TvMJbdRntJbJ8LBxqjidp77iBPiDPjGjzz7Wfmt3H2n90aPsz9S15Ba03C5tkGH3NT9QaVQ7GzM7Wz6fKaKxJKU0z90SmmmFo6Wdu5W9q5DV6uUy6U3i3KnjHfQYWA1teOHw1g6iNL6cBw5m0VhGhMq5KcecfYI8vANq60osHP0pNF7fopcvIJe/nB7QeYlndaVFmF3R3dXJ41u4OIV7OIVrG03t7QDIBJ2KuRyifyBZMORySSSovN+0jYJQpVy/qCsu55K7VNvUaVUqcj3WHDJ3tjCql9goovNIGN1kZyPN5ff26X16NEzuoy+gfXqq69GRkZ2dXUxGIzLly+/8847FAolNDQ0KSnJ2dlZIvl/H3dJqAyufeIr74CfLQwsoOpV9Y9EwpXv0FEHEmATBGMHpGyBSxQ8pg2+3B245uDfCd9RylGegkWbQO77/+s3Hy6TQKHCNhDdTTj+DpZvRWddH+uqN63lSPkJn23CJ//B2WOwc8DBI4mJGmHJdesmr1s3Gb1KCM+bF6DWfAIQHx+gjlJSFx4eWH74rp7Z/cNynVydYOjS17h3sjXPT/0Dd6k44OTu7+jme/rA/0KZzITFM4PMxujIm81iTo30BdDZJaxrTMosSmhqEXqHzfIdp7viIYPJXvn0u5euHnS1M7KzMTHpLeC55zxeWYp7CnWSyuRCKWnFmleP795AJknaWpqsbB2nxj81cKShkVnE1CVDrxYWPaekyMbYrH85v9KirNyUoyRCUl3fbms++iFZ1bUtWUX1BM3wfkQxLp/63cm4O2J6cL/28ykFoZPuPeyJY2gpFEk42vqDC6KGHN4LkRRcFiijIPOhR4+e+2f0Day9e/eqX7zyyisKhYJCoQCIjY2Njb3Hr8v/MFqa6y8w4uJn+0NdVHjSup4+MzdM+hcAtJSgvRpusWDyUXJpRAYWnQOt3oGsG4Z2/a0rNVd/gEwEpiGCFsPEGXue7h8Rr6U4EQ1FoNAB4N1PNY1iGi4cAZuFpgpIxSCRYURFUCSodChVvIZWFJSDJAKfywn0RV0ZultAY8EuWCNYD/BJaE3P5AeNZibaSCBxLDLNFrs4jgcAgkBjASx9BbXlxjTZcFN1rUYiz1zy4s3clPzUY+4xbM691eK9V3gGHJ4Bx9MVAPJvZh7cmmjp6BcWHd/bgaTG1TvEySOwtrKkqDSnNbuEz5TFTPAGAGdrXM5G/L3k0DHotNgwB5VSyTSb9cTyrQ2r7AAcPJjl52ezYUPihx/OtbAYtDzfQEgkspt3/8BtlUp1fM+GAB+3hhbFqhc/u11w/cT55DlTBnV5EgTRzy+uUqraBF2mxrpzVKUyeUpOzdK1H9+nN72tsTTG379f48WUAjPnSGt7HYUdR4izV1h5xVlfL8e7nnnmOqbrKAqpR4+ehwLlgw8+eHCrD/btMDMzE8C4cSPIiPnHcfH49rmxbvQTR7F9L9KKcP4WpozrH27MNoaJEwgVypLR3QSXyP6iWQMhlODd8WAVnISwBfa6/tTmn8DsT+AahfJkCFugVCBwMTgDhBa7GkEiwXcuylPgFtPTTlPBRAWeDFZs2PJgawCOAq2FIMsgawZdWLl5wzpKl1/KFeNLe2DaDqcgMGmQtkDaBGkTJI1I+BMi+YWUK2694nXGAAqFyuSaCo+9wfeJBomE5F/Q3Vx3M8d22f+ojHsMoDa1sHP0Gn864YxULOCyGAzGveZF3gfmpnxvV0u6qj3h+CEza1fugENDMpnMNzK1d/H1DIiUKGnZmWnO9uYw4uLIVUzu73oZIQZcFonv9cEHJ8eNsycIeHpaPvfcroaGTplMeeFC8enTBba2Rl9/fWb//syoKLfffkvdvz/z8OEboaGOOTk1H398qqSkSa1vPgRGZnYewTO8x0024BnZ2LuR6PxL50+XVjS1C7p5XBaDoQl6a2puP3g6s7GpzdWxxwcmlkiPJ2Y1iXitTbW2Vib9VlapiMOnM2eteJPBZOE+2Lbh1QkBdkZ9A8/LK+tlXK+QiJn3s7JSoagvz7Kz7r/z4Tl6FfP7uLuu5VSyDG0CAu41oUSPHj33gT7ZZKxxbk1UvJRPjQ3FZ++BSsW+BBzchcWP9h9HEEj/HaZuMHeDtBtMPnKPwDkSTK4mDRAAocSBdTB2gEQI/wU9cy08Ie3Sffl5n2ucST5z4DMH4nbU5SF1Kzyn9/jJ5CIUnEJFKsIeg0IKhQhU9qD309kIXq8AlAgvZJVA2oX2EnxfgcUKnLoOUz5mzsHNFKSWYXwA29xgYuKehuhplp53I2p/37Arz0oUCpVMQqYzMe0dHHuLK2MzDEYWOzzYmhyDRWveLSnKyqoobKkvsDNjONubp90oJQiyXCEjUQ0MmIrJE7zJ931qQxDEuaT8LpEiKsTJ3FSTGNgtFNNpVDqdZmluvHSW4b6jPyx88pPBYva7OttL8lPb2qS1WTdtuBz4DlrgeVhq6pqZzG5tMml8fIBap3779pQFCwI7OsQTJ365Z89Tajn7yso2barp9evl2jp6DIaOPz5SqXj3zx89se5zT78+5cbdvENsHDyoVFp7a+OJg5tWzJ8olysupBRSeQ5mtu7hXuzK2ubrubVcIwsyiUylMybOec7Kxjk342Li1cvqc1U1SpXqyJnMSfHPDx2+NhJiZz+We/VPW0tjOp0GQK5Qnr6U297R4RF8vwpexqaWTe0iAGDbgTGUynwfusR4Yh2M7Ps0MgvvczN69Oi5Z/QG1ljTQLOz/XQO08gEAFQKnD6LLV9CRfQR9qyuQHcb7MbBqldCkHME8o6itRQKOax8EboSdXmwDsT4x3DyPfB6JZeZuSHvGBx1XZ7UN16YZQSXaDiEofg8Kq/DIQwAGopg4w/HMFj6gGuGE+sx/+tB74dCR+NNzUTAYe68nXMBpQz5J5BTgrxqfP0pWprw+w+o78R3m9T1CkWUQtnpN+CZcjdP7n4x9puZV19DbmhzsLcGmQy3mKoKqSWhGjoKeyS4egW7egUDKMpJzizJnbFyvTaDrL6m9NDJLYtmhtznaVRSerFP5EorO9eTf/5XJashk8gEhcHlmzdW5y2MC2LQaWQKOdjbtvRmtleAbg2LE7s3zI1xP5nY0ppQ2CVodnn30XsrDJ6WVXz8TLKtn6c2mbSjQ6TtDQ62z86uFolkVVVtNBrFycm0srJNm2rau46eublBv5Ub6ytP7fqKytR9wsjmGIiEnReP/RIT7pGSWVzfpoyd95yxqdXh7R/xed5XrpcuWdtfptU/JDafRDqSeJlCUhIkEpnCBIUxaf46U/O7CRsfBGePQGMz66OH/sdjKiUygqCwY+L/RWew2Jz+93W3kCkUULkAwDA7myLpEfUdGi7QP5INoI115Ww9evRo0RtYY029jMXg3PkIIVFAJ+HtL2DiDCYd1UWY7g8LR3y3E84WYNpBfgPyRqyKg7MfuGaYcKcSsEKKpltI+h8inwWVgcDFKDzd00tlQC7CwX/pqLEjbANnQFA2lQmf2Sg+h5YSmLoi7yhmfaTpMvcAdciTr9YSTaXq3uQcBs8Kq+I19pyVNd78tHd/gdh66jO/Df2gRh2GTQDfPar7+k/txBQjB0/4zG6qv0GoCNLo5ah5BUR4BfRxy1nZukTMevrYuW3x0+7rQLxVoIx2cAcwd8Wrvdu7BG2Hd32+eOY4KpWqVCnpjEGPvabMf/rMqR0NTZWhr7xlaGJ+6MDGxTNDKHcf4h0e7BEe7DH1iRtHjrygTibdvz9TrVOPOxX04uJ80tLKW1q6P/hgDnqV1etVJk+HdZeZdJxCZy958t3BLl1beZtO6k7Na54wbflEOxeJWHjot88ba8sOnuokKLqdrL7jYnwf2GG0obH5kqc+kIhFTNbgLt57wsTSqb2jy8gIO3emLVsWcupUfnx8wE8/XelXWbxfrfHHHgvfvPmiWsh358608vKWwsKiWbP0UVl69Dwc9AbWWMPgmgtFUvWxAkgk/NSrPE5NEc6moLoF7z8PJzdNY14udh3De359VqEyYOwAj1hk7YXdOPCtYNI3qMVnDgT1aL4NM7c+7Zm7IBNDLIB7LBzGI/03NBTBNQZ+89BWCYKAqSsoDKiUIFMAQCnXHSyvpSIN0f/q38gxRWMRXKNRlYG6HNTmwiVaU/MHAGBo71R0q9grYOKwj2t0cQtf0Fh3ubvqppGDJ4CgtpNkyqfDzrpPrOxcXYNmb9/7h6m5rUqp8HM3c7a3qKhqMDcz1K1QNQCJRMY2HB9OVEMAACAASURBVGDFAgAM+MZxy17b/+e3seFuJEA1QL9Ui7ml/aI1719J2LXl29fdvfymLnjm8OltYf721pamVOpd/x1IPPcvtfWsziQFIJMp6HQqgLg4n7g4H7WcPZtNDw93Rq9U034V+noTM3s1k8kmU3QYvJdO/cHiGIRFzyu9mekVGG1t51JdfjM5YWtXt3DOyreuXToSMW2s0ya0jLp1BcDBLbA0/5CrsaT3OezAyuL9Wnbvvq4V8s3Orl61KlwguF5YWD/q29OjR89I0Cf0jjV0KgatBGLrhTVP4umne6wrACo5THXFCdE5CHxE414ytIO0E1d+QFWGppdjAhIJ2fv7z5r4DFrLYO4KlygwDRD1ImZ/jKoMCGrRXgPbIADwnYPyZM34uhxY+wx1PwR6ajxrqcmEsSMA2Icg/Eks2IjK9N6CFO7O1g0196vxeC9Q6HQz9+sCs1ultQpxp4Sh22oZXdpaGipuZy9Y89Hcx94Nj3v8zMXre09mtpHdTiaV1Te1jWSFipoGB7dBA9KNTCwXrPmgTGBSVKO0GS55LXrmyjc+3TlhyiPWNk7Tlr7ZTvE+fL7oRkGZUqWSyxXJGTf3HEsTdHYPvyd5V79/dJK491sWVaJSdANQqVRKhVylUhIEIRF1U0ii9taG8tu5J//8rq6qj+Aqm2Og07oCYGHjdvn0npammrKC1OyUEx3tzX9uWU+oiOhZa3759o1Fj79tZetyI/X0rfxrw+/874Cdo0dNk2TvwZv9zmEDA+24XIabmwWXy5BKFf1aDh++kZBQoBXydXU1Y7HoCoXyId+MHj3/X9F7sMacu43FoZBRLsTvZ7FyWv8CzBe+gWvMnWUpMHVG+h+oyUboSghbQWMh+qU+4wkVrv6IiKdh2+u4im0Mj8lorwaZjEvfgckBjYWoFzS9diGwC4FKoduPVZUBF10qD2busO0lvU0mw8JDuwKhVNQn/BSwbNtdPITRwyjm5QXRqsIbSdWHXrC2dRt+wn1Do9FNzGwMjc0BiLoFk+Y87R0YCSBw/LR9W/6zdIbhsCHwja3CoCCXIQYwWZyJkxcNMaA3JmZWJmZWAPhGpgFhkwPCJpcW3Th68aRUIjG2dLFycckvLo0I9RxiBYIgSI2JQwzYf7tiiZtj2tX84GnPGJta4c5BJJPNZYLb0dZ8/dJhQiEsL87a+8tH/mGTh61X4xUw3sN3147v3mBx+XOXvwJgyZPv2zq4UajUVc99QCKRinJSuuvSq8V0d9/xI3wOf3EsHH3TEqTbtq1msWihoY6pqWXe3lYMBs3Z2ZTPZ1lbGzKZtH4tERGu5uYGEom8o0Ok7mKxaHT6Q0hu1aNHD/QG1sPgLg0s3yB8FYSiSvx+Bqtn9OmKWAvWnUpzxg4wdoDndDQWgkQGzwoE0ceYyzsGz+mYtE6HhecZBwAkClwiAYBQ9VeFSNkCr5kwGZB3ZmAOSt9gGrEAMiH85/cfaeIIcTsaiqXWweVHNxtFvWxs6z2y+x99yGSy77hJcr/MqvRjQ5kto4QB3zg8VpPj6eTekzBPJpOdPMPrm+psrIapfiMUSbl3U0T5bnHxCnLxCtq/7SNXky46TWTrPVR9YpFY8uveKw4O9nQaWSYVczn0ji6FSCSaE+vD53HPXMq53tZxTNTBpVGnhnsdOfLjkqc+AtDe2mhkovEXcri88TELHd38AEik4shpIyo4LZNJW5qbXvlgm9rL5eiqcay6+YR0CtqKM47Pnz7u+GUdNYj+LkyevOHChZ4AuwmTl0zQnL5i/vxAADNnAsDy5WEAPDwsAERHuwFITi6NjnbXHsL2xsKC9/+89qsePQ8RvYE11pAoVKVKddfBxUcPIHJA3VzWgA9dMgVWd6K1BLWaF6I2pP0Kc0/Qhoz4Ed+pTDwwq84xHGnbEPd+T8A7QeDGPgQt7W+uVaWDbdSjKa/F2h/pu6R1N5uI0zbzvzdwf/iqs9nXzzfdvp5TmGVm7xcVt+Kh7IHF4eYU1lAoZEtzjeiRQqmkDjgmU6rIg52djRYVt/M62tsKyuBgwbaz0fEdoLGlIyO3QqEiKUmMJ17+mmPAB6BSKiUSYWVJ3o2rR8lk8qmLOSUVdT52bp4eE6SlpUm1Ags+pb62nEKmbPro6Q+/P0Gl0gAQBLFj8/sfbDoMYMqcxwHcyr9WXZ43Za4OOXgtTBb79U926pTWy0o+GTPeHYCKGIVH8XCpq+v49ttzAoHY3d2irk6wZs3Eq1dLVq4cX1zcKBLJ6HTKjh2pXl6W8+YFfPrpKRJL9fXnS9SzNmw4JxCIv/568d69GdrI96Ki4jmz9UHuevQ8HPQG1lhjbu3a0lJvYT7ir5U5Jdi2HdF+iBygFpi1F8EDvv0TBKSdaL4NAwtc2ghpNwR14NvCd07/kVqUMiRvgaPu9H4AsA2GVIgznyDyWY3xJO1CV2N/J5lEgLo8GJjBrn/GnJDEOSue4Os10y3uJdBGPyh4WFRKJYlM0ioypF85Lm7KmT11PIC84qpT+76ftfSlIRd4IPiHTnH1Ds1Nv5CWX0CGXEVikCk0E7Y8IqTP2SWVQshl0oFC7aPIrfwUW3POxLnP11QUnr6cOGOSP0EQjc3tlubGAHKLKo6eSfMPDDMytzGzdq0uvyloqxcLOzk8EzffsNTEP1cvjtp/KmP6klcmkilsDk+txdXaXHf17B6+oQmFQnV08a68lWtm7cgzNKEzmG9+pskhlUklnYK2/PQzFobkxvoqCyt7AN++9/ijz31gYe3Yb5ODCRd3tjfwfBylMnlTfc2De0RjwxdfnJ461evWrcY33jh44MAz/v623313YfHicXV1HZ2dkuTkErWQWFlZy6o1YWsPbn7+t3ZTWH3xxenVqydohce0ke8NDazSsuaHfU969Pw/RW9gjTUKhYwyctnJr78HSYQZTDBqIBOC3ldzvD4P6GtgFZ2GuAOGtuCaI/YVVGehIhVx70EmwhCoFOhu1q38rsUlCmQqlHdqCDJ56KhBZy0M79Q5FtQibTvMXPvojgIA8orKSxuUccvfYXPuoojK6LJ1w6sRU5f6BEUAEAk760rS4qdpSq/4edin709+0BbMYLA5vPCY+UDPoer1K8eKbpd7ufVoNYX4Ox7b9a1/+EwOh2dl53T/wl0D4RlZlFTkdLQ2+ARFEypVWlZqWIDL1t1nosIDGlq7DS09Yyb4RY137uwSNrWkEYTK0YDDtWQJuqozz1x3dbCoqGqUKyk0GsOA3/PNwcTMOn7la+rXT7++8cCvnxAEseTJ99R3rW4/c/B/4q5WuVxGM+F3tjVZWNlnJifw+IZa6yorJYHF5ngFDlLQCQDg6h2ekplEJqvmrnxj1J/MGPDpp6f+859ZKhUBoLy8VS0hZmnJUydgkkgkpVLV3i6iUMhaITEPDwtbO2N7iU24kXcJ2svLW3oLjwUG2mVkVLq5WVy6RFUHvOvRo2fs0RtYY01zze0JriOI/JHIsPMMxkVo6plIu9HVDLYCiV+ARIZCirDVUMohF4N2R/roViKKziL+C00BQQD2IRqzid7LaSTtAqNX3p+gDue+gLn78FtymqB5UXoZRYlgcnusq+5m5J9A1PNgG+PaTti0g6VRym7IS0WrdP5jm4df/0HCN7bwDpwAoFPQdnLPN/NivHr3LowLOLln4/zVbz+k3fUhLHre/q0fuDpa0GiaX08zY/6UUHJ93fl6qfL6uS6uqWPMrMe0WqajQuD46Za2biJhBwDfcTEpHc0HzmQtW/MW19A03NQqYf8PMeFuuFMGUTuLw2FZW2qkxm2sTI4f2Lx4zXtdne08vg4HbezcJzrbWuqqy6zteiRFVCoFg8OfFb8293qiq/c4AJWlBQtWva7u7RS07d761RMvfTRwtd54B0UdzEpUyqUTbRzv5yE8LGprOx5/fEdwsD2AtWuj9u7NaGnptrHR/AbFxno899yukpLmN9+M0wqJMRjU9jYhbrEaDcUA1q6Nvnq1ZKDwmB49eh4iJIJ4CGELW7ZsAbB27dqxv/RD5+iO9fFT/IYf98l2PDIdrn0lpwkVVEpQaJB1I+cwGovgMQ8OU8A1AUFA2AoLXeHJBIGqdNDZYBlCIUF3KwBY+YDBhbQF9WngmII6uPOmuxktpehs0ISuK+XI2AWvGUj7FWwjcM3Q1QiuOQLmg0wDAIUUN/YhdFVzdXlz4XW6sNnlpQukuxe0HF12fv8239CETKFC1jo90ntg3cDkjGKHwEW2TkNlz40ZbS31KSc3z5msu7xxS6sgOa8lftVbo3vR3394rzDn2rI1rwWGx2kbzx/bJmord7U39XKzHXaFiurmjPwqBg2gm85Y8uJAj2B9Tdmmj5758PtjHa1NZha22sAyglDJZTKdRX4a66vMLW2Hddq1NNXKZRIr2zFIWnggdHZKeDzN7WslxLS9EomcydRkk2iFxAQCMZ/PEovlatXWgbMAbNq0ydjYeNWqVWNzF3r06OmN3oM1pjQ1VBlxR1ahRNaIgVUuSGSojxfpXISuglKGju63fxEXFqYfO/aCUqmytHxj584nZs707T0pKel2bq7VCy/EANi4MXH16nhjY46mPaPmhcBS1ObA0gvGuorTqVRoKEBLKfi2OPwqvGfAYzrGPw5hM2QiRDwNJr/HYQYQBHG7tNqu8HJNVTvd1M0+Zh3XNUrHsmOOEZ89N0Z9g3Y6B0wIcjt0/s/FT34whpsaFGNTK0ffaSmZKRPH6fAsmprwycoKhVw2ik6spvpKQVuDt6+fWCzu3S7q7pg7JXCwWWoIgugSihk0qoOtqaOdmVgiPXwmW6bryNXSxumVD7YyGKzTB380s7SfteR5dfvtwqytG9967Ln3Bqquq6OyhmVUqt88RLTWFfoaSSJhl7C13MyEB6GmxZAGiCAXSZVZt+TjvVg0qrpL46MWog/yTkCfRahHz8NBb2CNKReO/Lw4bgTuKwDOdrh9E2ZDfmxQ6Gq99bKyls5OSWZmJZ/Pqq8XrFnzm7pcRmNj51dfnWltFU6a5P7LL0kFBfV8PpNMJpWXt2ja/UloKUFtDiSdyD6Eya8BQFkSytMw5Q0QBBLWo7MB096CqSs8piFzN85+imnvIHMvpr/TOyasvrwkp0okktM8AqKZ7zS6UR5CPNMQKJQkgiCGODohU8hMqlyhkKsz3R46vuNiUgQtBbeqfdx1WIR+7hY30s6FRs0ercuVF99wdTAO9nMtLsu7elYcOX25ul0q6gCGqV5cUdVwIb3K1sFFJhYa0LrrW0Txj7/H4eqItyORSBbWDgBWPPOhQiHXtrv7hLzx6W9s9iACvIMj7O7UeaF/DGyOwdm9B+ZP81e/7ZYpvsrMezHAs6upnbUrJanWOX7aoAq0ACBpgu6ipHr06Hng6JXcx46K23nu9vyRliVRycEYrlArQahVtebO9T96NHv//sxFi4JbW4Vr10YBOHeu6P33j73zzswJE5wB5OTUREW5NjZ2icXynnaWEcLXYNEmBD8CQ1tkH8D131B0DrYBAEAiYdrbWP4LTF0BgExG6KMYvwYAaMzeog9VZ38TVFXFLHpr4RPv+QRPIv3FrCsA4yc/ciAhQy5XDDFGpiD/RawrNRMnL75Z2aXSFaTsaGdZWZgkl8tG61qWtq4E2+nYuRtt3WS5TKJuzM+64uM8vP/D0d6SwyRFTls+d+VrJi7RM5a9MqzRI5WKWX3NKTMLWxaHd+SPDSJh18i3/cXbK7u7OoYf93eGRONoAznapbKb7YLyzm57W4tmqsyGbFZTp08S1KPnL4rewBo7clJP+nsP4wzooa4JtgPUpHpDELi2Q11qcM4c/yNHshsbO21sDNPTy7XlMlpbhTY2hvb2ms9IdVISgJ723tLwwcvA5EHajSlvwGO6prFf3iIAvhVIZFCZUGk++CuvHBUZeHs++j8ma8DgvwzWDm7Tlrx2LrlwsAHtHV1GlmMh7H5XhE5afD2nf00hhVKZnFHcJZKMojno4Oo7c/GzT735v/jV/wmaqHGMcTi8W9XCpPTioeeSSKT4qQFn/vy8rDjbb1yskUn/NNJ+HPr9m8/fWk4MKJtIJpMrSvJryotGvm1TU9Oayr+xuOhIsHMN0lpRdgbs36ZHjbc0o1EpHbHePievJmdXPdzt6dGjZzD0BtYYIZWKKUT3QA3JQWHaw2JwA6ulBNn7EbZKrTXK5TIoFHJsrAcAgkBbm7C8vDU9vWLFirDly7d+992FfrMHa4fndES9oKO24ECUcrWGu6zhdsXt2y7zh8nz+itgaGwOhllzq26HB5lMwsNI+Bgaexfv2laFUNgTF9XR2X0gIds5bPnjL298EMliCoX8981vHvr1veO7vjEys45f/a6RY+T+U5nnk/PbOwb1LbGYjIUzQm5eP1BSmDHYGC2tjTVrXvpUZ9z6i//5yd03bOS7NbewTk/cWfePtrGs7d0bmju1b1lUzd+QqOiAAnIno7b5oSQq6dGjZ1j0WYRjRFFOGqk1xdNtRBG7APDlbry1AgDEAhSdhkqO4GWaNL3WChQlwG0yLDxg4AHD/kFdvdOLOjslXC6DTO7/Saxpb85A1vdwjQGTBwAEga4G8Kx07EcuRnUmzN3RVoXyFMgliH0FFBoU0tsVjZVdRlPnDVNO7q+ASqk8+fsHc6cMkGwFAOw/lb7o6c8HU7N8WIiEXcf++GZmpBOfxwWw/1TG/Cc+fHCSXQRBnDvyM8R1re3CcZOWac2dLkFb0uld1nxpoI/jENMTLmV7hC1y9tCd/zjqiIRdmz95at7ylz39Jww/+u+JRCxMOvzVtCgdsZvyLlHTWz/fWBQ7M9ZfZ3GITb9dNnYI02cR6tHzUNAHuY8RJDJkipEp/hEq7D8CWSu6m1B8HoY2CF6Guhyk/YbQR9FehVsX0F6tPhyEuBaKvn6F0iS+SxRawAKEHTJCpSLLmBDUoT4fntO1o3gKCfKS0ZgHkgJ5R8G3gZUPLm6E+2TdBlbRGZRexfyvwTWHfQiyD+L0h50usxTX/+x2eTxm0Yv3/mjGEDKFAvKgmXc2Frz21gYTsyFPZsccNscgetbq2zl7QwLcuoViY2uPByqISiKRpi94tkvQ1tXZbm3Xo3pgwDeeteylSwm7KmubHGzMB5s+Mybw6Nl9BoamZha6szVHFzbH4KnXNhkaDVPM8W8Nk8WRSJU6u2gG7IpQb5v9V9qDnEyNhwvZ1KNHz9iiN7DGAoVCnpt8dMmsIfN9tGz8L6xtEU3g9iXYh8LMFQCsA1CWjPTf0VqGSet6bCBFNxTdmteddTj/LZwnwlrzufjulesCqWzLlIlUOhm3joPHh5Ed2itQl4/yaxi/CiFLNLVu6vOQ/gc8psBjmu5d+c9HeXJPYZzARXAYrzj5FT9+Y5D3IpD/Hj9IErGQgkEDw2lUilw2amHjo4VI2Hn90gFPWzYAJpMu6mwcg4sa8I0NdImFGptaK6WtQ8+dOyXo8Ilti8ZK8MLYdJiQr38C5EGD7SKeiFM0t1F5d52AqUePngfN3+Nz8e/OxRM7Ysa7jDRiJjgQRXV4ZF3/9kiNaBDOfQlxG1RKzP8GAAgVUrfByA4NhTCyhd98lFyGTQBYhsvcnDpkMor6uj6zIWyBkR0y98LcHZHPwMC8x2AycYRYMKh1BUApA9ukd0NhMyGf+rux75QR3dRfAzKZ0tjU2tkl7C1HroXLpgm7BGO/q6FJ+PO/M6Oc2SwmACqFQsgFKqXyQdd+Hozmhgp7Z02GYFJ6cWu7cFaMH51OA6BSqi5eKxKLZbNiAhhUhVwuo42q1vz/b4ZyflOD3ZBfjkDXMduNHj16RsJfK9zkH0lLUy1ENeamhiOdEDMZ3UN+fE57C7PWQ9KFvGO4vAlXf4RXHGgsKBUIXg4yBYY2SPoBF74NN6TNcLDRGHYddWgogLQLfFv4L4ChbW+BUNANMPEpKKS6r2g5XcCfjtVXYRMvMY0TG09VWc4kW8cFhE6pra0d6X39BaAzmEue+exc8i2dvRwWo7tzGPfM2EMiJGrrSo0hh94peGibDI9ZePpSvlQqA9DaqZq8+PXTabUJl3KUKlVFdb2xQ8T4mc8eOJNjZcI5uPX9TkHbqG9ApVRKJUMW1vzHIZNKaJQhI2UD3XDjnxzmr0fP3xS9gfXAuXjsl5gJ3ncxobYZpsOFUwjqEbICxg6Y8BTC18DIHq6TMPVNTaFlU1dM/w88puLKZpRe0UzxnIamW0jZCqtBNmNkj9ocXN2Ca9tReb13T3Nr96rVa0Bh/vzLr59/8c227X+cTEj8/IsvExISdu3adRe3NjhiUXduxqW0i4faii/+X3v3HRfVmfUB/Dd9mAFmht57l6qCiGLDLvYWTUyyKabvbuqWbKKbvClrks0mm2wSU9SYGI0tltgbFhQbqCCiFCnSe5kZpt33D+zSmeEOcL6ffAzcee69Z3BkzjzlPEa5YFsqS4vUqvpWH7KUSswwwRJbOTdrbtbkbG7WlNRoZOxNOZJayaYteXPr/vTi0ioBR2MhsZzx8GvRE5/5decZjVYrtVLYO7rPX/p/jDycyxedPLDJ6AEc379+35ZvjH5Zc1aUf9XNod26YnYyVLf+kiaEsIiGCE2rrqZiyuzHBdJWNlkDY0Bl8s2v65ug10NhDQCfrcbyB8YH71OZB7coSG3ba+MaATtv/PYXXN4FK2dYyOA7CoHj2zvFMwYGLWoLcWkHCs9h5HMwGJB7/P1tx0JCQpRKZU1Nzfjx4728vGwU8qyr11JSUjqIs9Mubf8IIvh6udTs/khV+ZzriEeNdeX7iCwkgT6tT2OXSi2aGozf6dJTHA7/1sr8XUcuTV34Ortb+VpZKxYsfffEwY1FpRe0GrVAILRzdBs8av7VlPVeskYAHA4nPDqBJxBGxhhn+PhqxlnfoEgej595IbmyMJ3bzr6Z/VHlri0Reenwdwe/7Y5tDmBg8MBiYUIIi6gHq6feemvb8ePZAD799EB19Z2dwB555AeNRidT2FvaekHs1Np/jneu8sb/8N8v8NpbeOOfGOMLSUdvIT4jwOGgKre9NqmbcPJ7jPkjpn+IMX9C0AQYWl+LdA/PWOi0ULihrhgFZ7Dnnyg4PX16YmNjo1KpFIlESUlJbm5uUksrAC+99NKRI0c6vua9yksLfv/lk63LxjfV3ilCHRoa5VKdXnd4dYM8WJP8aVev2XmN9TUW4tbnBomEgmZVU6sPsaKpsb6hrqa6rKBlBX59Q5PMMbDVuee9jMvjxU986Jm//E8ivdmzEhA6VCewLym4WZJUqWxIO7ZpzX9e6WGteU2zevMP7xakbblw+uCpQ5sbCpLmTB7CYzRaTRtj2f2OplldbKUVzRuDf65GadvZf7AXMvJ6MS5CSMeoB8toWspNJSfnrF59MjjYiWGYF19cz+dz//nP6fX16k8+2S8S8Zcvn/7LL2fy8iobGtTLl029s9g9LhzDghHY6SpZAgtkJ6EwFRP/1mabyLm4u6tD5tqptX5cHqKX4MxajHsFDZUQyzDulXEOUeNGxwH484tPq+oqW3pQXnvtNQBdTbCyVy9p0DMTRk9RFWSqSi83qrxbdvOVhM6ShM4CY2hI+U4fbML9oVXKBmuL1vNXhmE4ZlME6+KZg5dTtlXV6x6eEd1y5EJmYcSoJ9mNqi0cDnf2Y3deinKFvZ1LQGlRTjeKiuVdvcgXiApyLlYUZQo42gnD/a2kFmu37raVW40ZFrDv6EWJnY9JC1WYlaN7fo6P9oFChjeX4PPNGBqIca0tRo4Px497EebT6wESQtpECZbRnDtXkJgYvmbNyTFjAqRSUXJyzh//OK6iouHnn09nZBQvW5Z4+vT19evPpKUVLlkSm59ftWPHpScn3Tr5kYl4+R18tgwMg04OADkEoOBcew0evE72UYROg0DSwZV1GvAEsFBAZIXIuSi/ikOfwCkEDWVHlQGR8Yth59WpCO+/qir7q5lWPoP8IkcAaBg0s3Tfe4XWUd6DZweFx96KmWsVa9rysx6+gy4eOOblcXNtP8MwJ89mNih1UonQxd5KJGZ/uTvDMBu/+6eHozjY3/1aKcO7tWCwpqHZ1r61EmVmafriVzts09ysEoksWr5mGMPxfesrii57u1gxDHwdFSMC70wWnDdl6METV45nNA2b+lL/rnp1t2vpp/maYltFMACIhXhjEXan4NNf8cJsCO8t3GBpAVUzKmph3+nFNIQQE6MEy8ieemrk2bP5X355RCoVBgQ4CoX8c+cKysrqXVzkrq7yzMwSAH5+9k1NzdeuNt45jcsBT4PklShKw+g/oeIqQqd3cCepHcCBToUz6xAyGYwBBj1svFCdj+J0DJqCB7ciCZmM8xswrN2S6w1lOP8rAhMAgMuHjSfqSmDvh9IMldNgUSMj8x7a9Z8Kmhrqir8a5zx8uswrtOWIbcQ424hxJcfSHF179WO3XGFfUXtn5xkOh5Nbqp396OvKpvqCnPTRU8b0ZjB302o1J/atr6++wehUIyPdXJxsdh5MjZ+49NDur8KD3DJzywTSNst79iEMw9RUldnYORVdz1r75d+nL34lJDzWYND/tnZF7CC7+JDIB085ezGnqJozYf4bHe4h3Z9kZ57LOrctcdy9NfGnDEOkH979EU8nwsPxnoeemYEvtuCvD/dmkISQdlCCZQRvvbXNzs5y06bzy5Yl7tqVXl3dpFBIuFzOnDlfKRTS996b6e/v8Oijq1QqzQcfzP73vw+0Pkk5KgQXMzD7JTgGIuvA7c3+2iS2Rvh0nFoDj2gc/BgSOeQeCExAUSqu7MOgqa2cIrJC1fX2rskYkL4DI5+5p4KDzBlhMwHs2586adHfO/5xtObS2UOcwJncjOTqjGTvaTf7qBorij3rLipsezVv0DSrm9Q4dzF3SLgPAIOBkStspJbWUktre0e33ozkbgzDbPvxw7HRrrbh/rePaCFxlXkRsgAAIABJREFUdPGMHv9kZXnR+AVPCUWtLZXoa5oa6z5d9sTQ2DGMpm7i2GE557ZdOPm7kIeE4f42ivs3wWxoaNp7PDM0dsasaXGsRMsKTbN639av7STq+7OrFs62ePsx/GcjRkciJvjOcUsLRPnjwFmM785HIEKI0VGC1VPvvjvz7m+XLUusrVXKZBYcDkej0XG5XD6fGxzsPHNmhEQi5HA4X3/9MICJE0MmTghE0dY7Zy5cgGWrIPYAgJp8HPwIEXNg4wmBRSt3PfAvNDdALMeoF5B7HHoNJr6Flvku1ddh5wtNI0RWAGDQ4ORqjFgKAEXnoWmEwYC2ZsbUFkCrvie7uqVZoxVIncQWrdTn7IxhY2adOyEU+o/TnfystqJcbu8AoChln3viu927YLdxOJyC65kCUaSjXYWjvSIl9VpwVEedhSaWkXrsUsqe+CEetoo75TnyCkp8Bg0H4OLp7+Lpz150Rrbph/emTIiPG3Kz23LIrWlDWp2+SamurKqxs1VIJWKD3nDiXFatWpK45G2xRUeD2v2FTqsBsHnVO1PiA+TtFGcX8PH6IqzajSsFeHgCeLf+OU+KwScbKMEixExQgmV8Ugkv+ff/jRgakFFSlnU2NyLILdjfXQqg4b6G9xYPFArwp3l471t8+BJmroC6DiUZMOggUYAvhrISBgM4PDgEoK4I6jokvn/zRNdIXEu6kzN5RENqh9JMZB+FXo2GKkTMuvmQ22Cc34jtbyBoIizt4RYFAOnbYeMNlzAAsHSEsgbZR+A35v5npVP71R4GXurez4TD4QwdOQ2ASi4r3Pr6EUGkO/IVAonUvZd2Bb5NIBQ9+5cv5DaOyQc2XCqs9vAd4xvUyrCUcaWfS7qedVrh4BkcOaplaxe1qun4vl9U9eV6rdrfU75wauR9/ZqXc8onLx5p6sB6n1xmHTfkZr5oMDDXC0qu5lc26/hCqa2lzMZaPujkob3BPvZZ+fUjJy3pT5llh2prKrat+T+hUDg5PqS97Oq2P0xBVgHeWYP5oxF6a5ydx0OzFqJ2O78JIb2CEizj43A4JWWVn27O/ux67gRruwnDXKHt3AYs9tZQFt+cOyWWwTsOALIOoPgSyq7AzgcOAXAIAE+AhNfvnGXQQX5XYSeBBZxCAEDmCqH4vv1tMOMD7P8AHtEAg1OrwOEh7zgsFHCLwJDFEFgg4VWc34DMfZj+/t3niSRWHJURinBauIQFvLDH36BVXtgojVrc8wt2g52DK4BRk00+W+XEgU3DxsysrigpvXowMT78emFZRtLKilqdQCzXKCsmjAiytgpo61yGI+T3x61mfMPiL2aetbe1Sj5fILKy9/CLGDtvmEh8p4/K0cWrob56waSB1Q1TVXFj36+fLZ4xXCDoyu/kQA8sfxyr9yD9Oh4aBwAzR2BzEha3W+6OENIrKMEyPr5AOO/JZQe2/fC8lPtCbKRU2toY34NUSvz9fTySeP/qv8Dx91cHtbxrcuvFbQifeWebwrvJXVs5WH4FEbMhUQDAkIfAGDDs3pKeAgliHseZtQ+e2syz0Fde5dm1mRN0FsNwvgiWvtT6fjX9xsmDm7TVlzZ9e85gYBLHhQDwcnf0cr/9d9dRSQ6m3d1R+qywIWOSD1Y01GDmH57g81vpaHFy83FCPyw3UFVRfDn1qLtPqKdvCOfeBSgNddUHN302f+pgPr/rv5A5HPxhClIu44Of8eoCeDtj/UGjBU0I6QFKsExFLJE+5T0IQFl5tZ2dnNd+QaDqBrz1EV5YgJDwrt2m7DIuMQib1XHLFg5Bd75udXYXAIMWfqMfPGzt5FacnuQ+pr0Eq6aq9PC2lTZNV1w9Av1nLmu9EYeDFzJaWeTYj6hVyuqi1GnjotBSXqsbtdc5/fbfZlzCfLZD6G3NauX+jf+prio/tn+zRqt/8s8ffP2vP0dHD+UJpQBPo6qeOTGqO9nVbcNC4OaAd9bgz/MRF4rjFzGyi79JCCHG1m9/ibPO0kp+/GKeVOaYduaUzEr41EPtdtofScUrz8C3tT6ndqjq0FCGwQu7cErOcXgMhaDd9Wg8IUQSNJZDKIXwzqx2l6EJv+896zbawGkrN9Jrkjb8a9qkmNy9pyztvdu9RT8vFFlSlOvprGj5uns72+h1WqNGRFij02m3//zRtLGhR05ff/6xtw16PZfHmzDjkUHOKnvblrJV7f5j6SRXO7z1GD5Zj8Q4zZYkISVYhLCNEixTiYydFBk7CUBFYaa/p8JgYLjt7BSWmY85o7pwdYZBUyXSNmH4Uth2ZTxF4Y7kbzG6o7nqOg3KsnD1EBL/7+aRhjJ++o6Rbl7nPpvll/gXud+IVoJqro+s2paz6Zgicr5znKk2E+wT6qrL5NIeJZGBXopta1dMXvDS7VKcpA8pyLl88fQeRq8FozPoVGOGeFlZSpTK+m1r/g96pUbP02jU8SHRRr6rSIC/PYJvdlxobNaduzp8SACKK2Fz/+IaQkjvoATL5KRW8iHhHS2GaijvwhVL0pF3EkETMfI5NDegsQKWna5tbeMJZTXyTsE7ts02Bh2aG+A/Gud+QcFp2Pvj1GrwhXCLtLV2tnQLTkn60UHJCQq/vzQRR2Ln9fr5yqNfCFmavW4+giOGb/1hn4uTnVDYzfVcwf6uFVUZuVcuBEe0/TdFzBLDGI5s/9/Dc0bdNzFgYWLsrQaMXq/vYNpA93A4eHZG/YYT0ksl2HUSjAiW7G9OQMjARAmWaTEMo9OoOm5nzUHGBQyK6KCZwYCT30MgQuwfbm4syOUhbTP4QsQ+0cmAwBehneVpl35DUxUcAlGVD74AOg1ykxEwFi4RLbPvhQzTwC3zlNxfE/Imsbwq84j4yEc101d6Du/K2GX/IhJLpix6fdf2b3lQGRi+noGIq7WSCocP9u/8MrH4YSG7j2y3tJa7ewd13JqYh0tnDxflXbGQWreTP3E4nB7NuOqI0tE+YcazaDiK1Qc7u/UWIcTYKMEyrSsXTwV4dWJ3sD8+g2Uf4uNQcHjtNSs6B6EY0UvuHBFIMPJZpKzGkf9gzJ/bOOs8XELR3AQLBRrL4TEUbq3tFwtAWYviDEx6EwCU1XCLgtU9Zdaraurq9nwWM+Fde7+wtmIMfPx7vV7Hte7ifLJ+R6awm/XYPVtxV1WUbN/xnZVIG+jt4O7q2N6QMQCAw+HIrKT9dTlhv5SblfbTyg98/YOmjQnpuLXJMAYtZDYweLIYAyGEEizTykw9NHtcJ+oaWEoR7otpz2H5JMTMbbOZwgOq1kpqDXscZ3/G0S9RcQ0WVgAXBj0m/AUiK5RdxuXduLQd6gZ4DMGQxQhwwOXdCJpwsw/sbvXFCLtV1lxic/cjzY11hQfW8oSWHo+s5ru0kZ+1kHm2myQOXLb2znOfeEvZVH8t42zqkRQhRxnkbd+k1ly/USsR82PCva2s7imUzzBMWS0zwie4rQsSs3L9WvpXK16xlivmTIy0s2Fz20Rba17pjTwnB18WYyCEUIJlWpYye3WzxkLc0Xznsko0NcHP5mZ2VZIOxwCAf7M+u64ZySsBDkKmgDG0foWhD4PRgzGAe++kH8cQTLz3wzSHA1tvZO7FoGk3jzAMruwFXwSeEGIrANCpUXgO3jdnsjcp1XsPpiXM/UbmEtiVZ09aIZFaR8SMi4gZp1YpszPPSeytpiWENzbUHt/3i42oeFjUnel6er1eZDGAtjfu0y6eOVh9/cTji6b5ejqLxSxXiI2J8NuTtGX64lfBHyi7DBFihijBMi0LqXVzs6qDBCu/DN9txayheOyRm0caypCyBlwepi4Hl4/sJARPQf4pZOxsr+QVh9fZ4SQ7X5z8FoOmoaYASZ/DOQx+o6Guh1YJl3AA4Apx9RD0upaCWPuOZU554gMLyYCYLfvMMz9lZ1dUVDSEhbl+9NFcF5dWRng//fTAY48Nt7Hp5s6MLcQWktDB8S1fW8tspsx/4Xzynn1HT3i72djbyvOLKpvUmsryzu0BQNiWfy1tevwDw4LyMIjsq6uVNjadS3Q0tag53/NgBAI+V1ujUjZC0In5CYQQ06AEy7RqK4qsAtut2a1sxvc7sexp8O8aWAtIQEACbqRhyytwjYBzKOz9YO8Hgx7n1sFmSeuXqi3C1UOI6UR9hOo8SO1QU4DrpzDjw1bGCrlcWDq0lMsqy0q1F2gHSHYF4JtvHjl48Mrx49nLliX+739HHn54WFZWmVKpuXKlNC+vsqFBvXz5dEtLEZfLSU7OWb36ZHCw08svG2dnksFxk1VR8Wplo1rV6O0mF4oshovbrVhGzAajVz94sLSK+8bb2wQCXllZ/fvvzwoPd7v9UBs5utHm2w2P8kk5vIV6sAhhUX+upm0WdE0dLMb+x7/xx3n3ZFe3uUYieDI8o+Fzq+gUlwcOD4Y2SlBe2gaX0I5DUjfg+mk4DsKV/YiY20p21aImH57DANRcOjbi0X91fNn+6Pz5guZmXXFxbUFBdVpa4YwZESNH+u3YcfHcuQKVSrtmzckxYwJ8fOybm3VdvfL06V/m5lYCeP/93WvXnrp9/PXXtyvVov/78HRDE09sIWmp6bp58/mrV8ta/jTisyNGodNpj+z60VLYytj9ug2XEhPDvv/+0a++ejgvryonp+KJJ9Y8//w6pVLTkqN/++2xP//5161bU59/ft3LL/9aV6cGoDcYMq8W9jAqG4V1dUlWDy9CCOkJSrBMyGAwcNBuPe7tvyHaC3ay+4/XFODUD8jcA1UtnAbd81BgAs7+0vrVVDWw66jg1vUUnF+P4MkIGAupDdT1bbYMmoSmKp1GLeZ2a6eXfoHD4ej1hpoaZcu3fn72dnaWavXNv9OnnhpZV6dasWJvXV0nKnHca8mSYb/+ehbA7t3pERFut993bzcoLq599dWNTz31Y02N8vPPD61ceazlz7vfpI3xFElP7Vz37yBH9bi4VtYipJy5ERfnC8DdXTFzZsSNG7VLl8YD2L8/syVHv3ChKD7eb9eu9L//fUp8vP/6Xy8CuJCRd61CsHXvuWZNj6r5z5gwpCenE0J6iBIsEzpzbEeov3N7LTKyMKq1Au4V2QAHwZMR8yj4ovsfam5CVS4u74H23lEJgRTl7X5mLbuCqwcQ9zQs7SC2Qt0NpG3GqVVQVrfS2G80pLZFRzeJx7zZ3jX7HYNBD9wsHjR2bOBzz/38ySf7Wx66L9HctSv9ypVShUJiYdHlaqIzZkTs3ZuRnV3u7W1XW6u6/b57u8GHH+4ZPTogKMjp66+TJk8eNH/+kJY/736T7v6TJEZyo+Cak0zv5GDT6qOJU/zPnLkOICOjePnyHbt2Xdq9O0Oj0en1d7q7YmN9ysrqXVzkrq7yyqomAGFBnoxOmTD/9S17UtXN3U+j+VwDDM3dPp0Q0kM0B8tU9HpdYdapYVPa/RDp5on8a3B9oGRUwDjs/xc0DRA+UM9T0wQLa9y4BOdByE5C8KQ7Dw1/EmVX2rtdxu8Y9/Kdb+tKkPgejn1594aDd2M0yqbqaq/wSa0+2v8omxr2b/168txnExKCEhKCACxeHDNnTpRYLADw6KOxACZODJl4a1XmsmWJtbVKmczi7sSroa76vdcXvvj3L9y82ltxKRYLfH3t339/95Ilsbt2XRKJBPe97+blVRYUVAsEPG9vu7tHBlttTNhy9sjmafFt7lU1e0bwzIe2/PzzaY1G99lnC7/6Kqm6uikvr6ol67rtoYeiH310lUql+eCdscAlgYDP5fKsZTYzHn1z69r3Z44Pk1h0dyqerst9q4QQY6EEy1RO7N8QF+XVQSMXD+jaGH3zjEZFLlwfqO0eNPHmF3oNsvbf85DYGp4xd7416HD43wieiJobcItCxVUoPO5Meq25fjOvsrRraxqWpjjTRl8BZQWkDq026E9UysZtq9+dMT5cxNPjrgnLYgGg1+sNBp0eIrEEgKZZxRj0IiHfYGAsxPePn1rJbJa+9om9k3uHd1yyJHbRou++++7R/fsvP/i+u3TpqOPHsysrG5cvT2xoUG/YcDY83HXDhrN8Pvd24zlzooz2/EnXNTbUirnKdmqyW1oKDx58uaFBbWUlBrBixdy6OpVMZqFSaVt6Pb/4YhGAxYtjZs6MkEiEHG01ygBA39wIQGolm/nYP/Zv+Z8Fr2n0sGBRN7Zd0iu7+dwIIT1GCZZJGPT6U0k7KnwDhFcq9QyXo29ysbP083JUyO/0SDEMU8kRMiW11dfyHLQ3LO3dcy9fDBp9q85nVR4CxrV3D54QABgDOHeN8zIMaguh8EB2EgrPwX8sGirgHAqZC8CB7+g7LdO2IGoeAHjG4tphBN5cB9dUXVpxIanGJlLPFejqDP7qSk3lNWEPEqx9+y4vWvRdaelHAgHvxRd/+dvfpri63lw6bpRiB0ah1+u2rf1w5oRwiYUYZQcebFClVB3LvO4mD5Na2fDqzgT7ewLYcSBt6iNvP9jYJyC8MzcdPTqguHgF2n7fbekzk0iEsbE+Go1OKOS3/Hm7cQ+eMTGC4/vWxQ1ut5hn9VlweFYAbm24LAPQhMtlFUMc79k/VAqgDmD0Ld+G+9ttWPm2V+BQv5DomUv+UldTuWvbN2KeOsTPycPVoQtzIvXUg0UIayjBMgkuj/fCmyulljerRDIMU3ojLyPzzI0T58ZE+yjklilpOeW1Ok/nCJmbNWxtqnN2NWf8dF4b7qfT3fxAbN+JKsz+Y3DsS4RMhZ0vABRfQsZOqBvhFAR7P4x95Z7Gsntng4VMvTkj3sYT+SnIPQHvuKxTR7glmbJxf7V0GASAz+dYz3uHK+ioSmq7fvzx1MKFQ3ftSp85MwJATk7F8uU7JBLhjBkRLQupiotrP/lkf12dKiDAsbi47okn4hobm41V/kCr1ahVTWKxRCBs/VkYtNrU47/nXjs9YbhfOwMxK85nZFRUz8mvk4u5cydHA9AbDFyRQtDOro5dIZNZAFA1VZzYt2fkxIeaGL2VyEIiuXNxoZB/+8+Wxt2Y+EWMqKaqHKpSa6t2k+nWpkD9mJmzMv3qd+PjghQPrG65xcfT0dvDoayi5NLhb5WMfMqCF2c//mazWpmRevzcwRRXW/7dBWnbQ/ssEcIeSrBM5XZ2BYDD4Ti7+Ti7+RjGzTt+4NfG7Ioho5bEO9+1U1jEcODdyZUle9a/PWnKGIFQhJpOrNO29YGdL45/Bd9R4Itw7TBilsAxBDo1BBZtnlVTAIUHHO/aPzhsJnM9Je/XD2w9h9j90Zi7w9bWKktK6p5+euTnnx9qSbBWrNj7ySfzt2+/kJ1dnppamJgY/uGHe8aPD756tez11zdv2vRMeLjbM8/8NGZMgFQqam7WiURdeImWleQLBEIbuzupZGbaicuntljLZBo9X+7oO2rSYi6PxzCGy2kn8q+e1zXXS6qroq7fGPJqB/tSvxUTXqFs9rurAzIruygwYnQ7p3SDUCSR2zn+8NWbaxsqx4TFfTDnOeNenxgLwzD7N38xM6E7uxg9GuyrEAvbya5acDgcJwdbJwfb4rLqnes+nf7wqyKxZPDwiYOHT7yWfnrr3q3TEyJMumM0IaSH6N9nr+LyeKMmLWrrURs751HTn83bsNR76lMC8QPT2++TewJ1N8AXI+ZRNNejqgAuYTdrOrSVXR34F9SNULhhxDP3HOeLdly3jHlok51bm9N1u2fDhrOOjlb79l3Ozq6orVUCKC9v8Pd38PGxq6xsbGmTl1fVMpvbyck6NtYHwFNPjTx7Nv/LL48MH+7j4NDRz+GWpN1rucrrVbUqoaWTk0egs7t/RWn+tUsnIgb5Bfu7Aigpr978/VtCC7lOXRfmbz8p1oXHdcW6AwjueE9cmVAoE97pT9Lp9WmZNx4a2+6ejF1naSUfOmJas7KxLPNEjHigVHbti3Zv/HJ4uEt3JkUBAKZ7dzxF7zYXR5vSitqsS6cCw2JbjviHxtg5e2z59dP504YO2BIqhJg/SrDMi7XnEM6SdcW/LJZzGhmurXxQPACoapBzDPb+qC+DTyyKLiDvJJzDEDkXnFsVSt3U0DS1d+nq6xBKEP0IdPcv/L5xKcXP2dPJ2NkVgI0bz/322/OWliJHR+uNG88BWLhw6KJF3124UPjqqxNa2ixdGr9hw9nKykZXV0XLkV270qurm7pU/iA/O72+LGt6QiQAnV5fWpZTlJZqK5PMTgjkcm++Azk72Myfcu9y+rwSMAymxnbpSTEMs3Xv+UkLX+W2X0K2u0ZMWDhiQgc9aqTXFBdk52adq6sqYwwanU4vFApVjTVDQpzcXe16LYbBoT6bdv3G4wt9g6JaMiqFrdPwSY9v3bd6+rgogYB+jRNijjgMG4P0K1euBLB06dLev3WfkP/fcbzaLIeYRGFTOTgclGXCzhfVBRi6GDwBzqxFsxIz3r/nHIMWKWsQNR/iNoYe6m7AyuH+raABAJc3/zfo+V3cNoo1GNeaNSdDQpxXrUp+5JFhLTUYAbTUzLx7ytHd5Q/0ep3BYGh1tpPBYLhy8eTVC0dtLfUjowO7/Gn+X+vw9HTYdLaTrMWp1Gyn4EQv/04UzSd9lk6nTT25r+DqaVc7UZCvs6WlhM9rbbuF3mIwMOlX8nOL6uw8QkeMX9DyUq+uLEk+sF6nqrGXCx1trexsrOWye17Mn61JsvGMWbKkjc21CCGmRB99zBFHU+cw522htW0rj6VuhKaplfINXAGGPoJLv6EqF8OegLXT/Q1kD1TbAgDU1NRZii16J7sCMGFC8Pr1Z196aWxw8J2ZUrdTK4NB37Ibm7WViDEY9m38RKOq53IZDoer1vHCYqb6h96sQ8EwTPLBTeXXUwf5Ocwc69edgZL1hzAqoqvZFYCKalUsZVf9UXlpQfK+dVwej8vl6VVVkSEu0RPD2A7qJi6XEx7iFR6C/Bvlv3779oiJj7h5BdrYOSc+9DKAqori8uLCi0U5lafTba24MZG+HWwwTwgxPUqwzJFO6lJyNd1zaGtzqKPmI2r+/QcNWoCrYXh6vwkcpwrB6Z940Q/fs2wwbRNcI2DvD0CraqopzBYKuDKvUJ3eUL73G++F/zXdc7mPi4v8lVdurg3cn3V+mKNnY31tY0NN/rXU5rr8ccOD7l7KN2nEPaOWZ9IO7bhwPGHW01XlN07sXRsb7jJiUg9mQUUH4rvfEeQBRddyLD7P0KxWttTEIn1RTVV51sUTZYVXoFdxoOdwhQZwuVyepUiXGB/A4/F0eoOA3+4e7ezxdHVwdbRJTd969lAj38ImZuw8BycPW3sXW3uX4IhhACrLi5X6Bgu5JXRNEF5gO15CBi4aIjRTu1a+MnVK3J3vDQaUpqOx8sHiWMrGuuLtXzBWrhwu18ARFLtOk6qK7Ir3X7Yew+dpfSqPMeC4qLNKpUFaW79GWaB11nahf4JSz8soV+r1hikLX5bbtd65ZTo5V1LX7lmzsabkD+5u41wcLSUCBzv5faMbraqrb0xJy1VYSwaH+3Swi3ZnnL0CZTNGPdAd2K6S8qprldbtLFYgZohhmPycyxlnD2hV1TZW/EAfJ0d7BdtB9VSzRns6LbuizmDv5u8bHOvs5n1fV+5nn31mY2NDQ4SEsIJ6sMyUvyqVYYbf+XV5+Xec3wCX8JYEy6A3VF6/wlM41TdqzmRUJD6zVyK/WQs04OYJb3sDmma1gMtwBBYA/IDawyt4NblWC/4Fj3gAXg11AqFIKOruLhzdwjDM4Z2rRbqS5XNHji8uH+nStRKmMmvLiaM6VcazU5q1EHe5kJWzg23q5QtlJfmOzh0vPyQsMuj1BXmZOZdTGmtLuQa1u6PVxBgPgaC3P06YjkgoiI8JBlBT25B94dcz++sMBljI3SbPe4Ht0AghlGCZK4H/hBtpR92ibo0Shk5H6HRc2KwsySk4sUvA4/Acw0q1vnwLl/lPv9DWDKT7kif52Dfu/lZq1UElnp7QajU1laW11eXV5YWVpXkGnYrLaAR8vsGgD/V3cncJANDV7Mr4NDpIupNfThoVtmvPSp7UefCIaU6u3kaPa+DQajVajZrL5YktujYLsFmtzM48r2qqHzR4lIXk/pIWBr1+98YvGHWFh7MsNtBZKmlvX8h+QCG3ir5VpO16YcWxveviJy1mNyRCCCVYZspzwp9z/zMSkaPuLvtp8BldtPN7n6VbhXI3AF6sRdcKhmFyrqRmnj8EnRLQ8bkGhbXERibxkUtjvN24PJNUNOgpgwHdCozH5U4fH6XRaE+d/PlkI3fivBfvritLWnX92qXUE9t5aOaAAYfHgMOFjsdluBwOgLLK+hmPvim36TjnVjY1HNz2HU9fHeBlpxAJd697N2TYrKCw4bcbNDXW7/h5xbgYL4deH/s2B17u9tnH08uKrzu6eLEdCyEDGiVYZoojkFiM/uuhbb9FjE6wVVgDgFadfua03bzVLdmVWbl6KSUt+bcQH7upIz2MMDWq1+i7mWC1EAoFo4YFlZRVpp87Mmz0DCPG1Z+knz96Petsc1Odt6t05tiA22XJ7qPRaHds/Xruk/fv7ahWKQ0GvURqBaCkKOfs0W0cbc2YGH8ry5u1Ouc42x87c7Dh4vnoh18AUFqUm7Tz65kJEQN5Gd2Y4cGbt38VFju946aEEJOhBMt8ucQscBg8e9uPK/zdqsODvS7+vk6qb3TxGcR2XHcwjCH9/NGs1EM+rpYLpg5hO5yuEwmg7umWyc6Odsn7zlOC1ar87PTK7EOJIzuuaiEUCsR8bVVFia29s0Gvz7mSevXScZ26VioCwzBqLVdvYBwVwsmxPgLB/ev74qODqv++cqO6SmwhFRrq50+JbiuNGyD4PN7CadHpWacbq4ttbGw6PoEQYgKUYJk1Pl8w94k3M9OOX93ytqOTr+O8L9mO6I7CvCvJ+36MDHCYN8l4s8572eAAfLMdQwI6btkuawumrqZSpui90t59AsMYUg7+Mn9KZCfbj4kNPH9AcmlrAAAeqElEQVT0u+o6DZcLX3fFpGEufH7nOmt1ehtHmxmj/QR8vpkORrMhNNDj4Kk8tqMgZOCiBKsPCI4c2Ry0M2vjG41fTfN8+je+qJeKgraFYZhDO1fz1YULpkT17a3QrCSwleFGBVzte3KZUTGBm9d9vPiFD40VV1/HMIbLacfTT+8dE31/4YB2SCXiljVxXXY2C5F+IlGXF4QSQojpUIJl1nZv/K9eXavRNFsIubFhoQUHM7i8bu0vW3IOzkYbwkvatdbXVunlHmKsC7Jp+CCkZfcwwRIIBBKa5H5LSVFO0o5vooJcFkyJ7KX8++wVPJXYGzcihJBOowTLfFWUFUpRO2rMnc/0SXYTIvjd+phub7SZWyplY11plld4lLEuyDI7GVIu9/Aal68WDBo60Sjh9HV1NZXHf/9m4bToXu3a5HLRpO5GSTNCCDEdSrDMV/K+dZPj/O4+IuSqlE31EmnXO0v43a8mWlyYk3JwA6NrAM9CILJS1ZdNG9uPduKztUZ+WQ+vkVNYM2N8H5zjb2xqlXLX+o/nTRrc2wPHixKwejdeXtCrNyWEkHZRgmWmaqrKJTylSHjPgODo6IC9m76c/djfeieGnCtpacnbnG3408f48Xm8W4fde+fuvYTDQXQQzmVhSDdrURoMDPiWLSlF6ql9wREjulozs39gGMO2tR/MGDtIIOj13yoKK9jLkZ6LUJ+OGxNCSK+gFTdm6vjen0ZG37+6TSq18HMRnTq81dR3r6kq2/jd8rrcvXPGh8QNCbwru+qPGAb87j/BtIy88NipAIquZ/266mO1Wmm8yPqSI7//OCLSVSq1YOf2iydg2wkU9LQzkhBCjIUSLHPUUFfN19e0WikxLMiD03Dl7PEdprt71qVTx7Z/Nmtc0OAw3769SLCTLl9HhF/HzdqQV9LoHRAOQCAUvvTm/+SKHs2X76NKinL0DdfdnNkrVMHl4C+L8d1ONKpYi4EQQu5CCZY5Orb351EPdF/dNizKX1uZfnD7D1qtpjNXMxgMv6z8p7KpoTONC3Mzr1/YNWP8YBYGetjSg8pJZy/mDIqZ0vK1o4u3i0f3E7U+LXnvz+Pi2C6By+fhzwuwejfLYRBCCACag2WGlE31jKpMKnVup83wIf4VVbW/r32XJ1Z4B0XbyyTXCwvLblxzUGbV8h0atLB3C/IPjbOQWJbduH7x1I6h3IuVB1d4zHi3nWtqtZrDO1frG4smjw4z9nPqn2pqG25Uc2ZOG95x036trCTfQc4xi+LpNlZQd+pTByGEmBolWGbn2N518dH+HTazt5XPmiA36A25hefLcgu8vANj4r04zTYQSMHjV1TVFqZvVmt0NtYW8ydHcjmRWw9evrnDiE6F1B8Q/cLdVysuyD6689uJIwNtFH22LHvvqqtv3Hcyd+4T9++dNwCdOrhhalzHr9heYg55HiGEUIJlbvQ6nX9QuLX7rXk8DVnQq9tpz+Vx/bxc4eV683uxrOX/9rZye1v53S0DPGTbvv+bniMU8IQKbbEm+U1LOxd55LDG+pq8y8n2Mt6CaUPNohOi9zV3eTvCxibV7qNX5z65jM/vVt3XfoRhDBxdgxkNKAsF0OpgPvEQQgYq+jXUSz777OBvv6W5u9vk5VX+/POTHh53dmB95JEffvjhUaGQD4DH5/uExAHYvPl8WJhrgLWo/QSr8wYFuA0KuL2zWyDKa1Rr9xW6auxEgqgJIQNiMnur9p1BXNfKejEMs/Nw+uw/LBMIW1mFMNBUlN1wULC0crBVlF0RQswDe5PcGYa1W7PkT39K+PHHP/zxj+N+/PFUTk7FE0+sef75dUqlhmGYF19c//zz606dyr198PPPD61cecyE0TgoLALcA05merg5Ddzsav9Z5JZgVESXTsrIKhg8ar5ILDFRUH2LsrFBakEl1Akh5H7sJViqwuKCa6zdnQ2ffnpg8eLvXnzxl8mTB924Ubt0aTyA/fszORzOk0+OmDo1dMWKfbcPTp48aP58ExcHnx4Hfzd8vB46vWlvZJ42HYFGi2dndPW8kop6d++gbt/2mWd+Skj4NDz8nYcf/r64uLbl4KefHqiubmq1/Ysv/rJ8+Y62HmWdTGFX12icTlbjGHif3Agh5om1vvTc3OtpKftcPMxmbqzpvfzy+FmzIletSj569Fp5eb1IJNBodHq9AUBAgKNQyN+6NTUszPX2wd4wLAQOCvx380DcZiSvBK8v6sZ5Ad4OF04fiB0z6+6DV9PP5F09HzV8soOzZ/unf/PNIwcPXjl+PHvZssRvvz2WkVHyxBNxlpaib789duNGrUajf++9WbW1yk8+2S8S8Zcvnw5AKhWa7fQ4uY1dVY051Va1keFSLsKopDshhGWs9WB5hYyYOv+Fjtv1O4GBjlevlhkMTHV1U15e1Zkz1xmGmTPnq3ff/T0xMfz2QWdn2YYNZ3sjIIMBTra9cSOzsusUhnazF8rTzbEs51RtdfntI1qt5nzST/Gh0r0bPmpqqOv8pS5cKIqP9wsPdzt3ruD06fzExPAJE4LXrj314Yd7/v73KfHx/uvXnwFw8WKxStXlmfi9g8PhCqycGxrNJsd6bBJ2nUL2DbbjIIQMdKz1YHG5/Xr3lQf86U8JLV/ExfnGxfkCqKtTyWQWKpXWwkKg0ei4XC6fz73vIKoPmzwyAR8VtSa/i1k5fhFV9VgysdsXmDwmYsv6TxJmP9/SXyUQCBsaNSfPXbV3C5Zaybp0qdjYO30tgwd75OdXZWdXlJXVu7jIXV3lmZkl3Q6y14yasuTYb59MGdO1qWymwuHgtYfw7hq8sgDWA3FTSEKImaDlNqyRySwA1OkaLyen+DnxZTJLADIAVbAAoIQQgN70HQMejtBo0aiCpTmtBTOpoxfw9yU9uYBIKFg4dcihI6sbtUK+QKRT19k4uEWOf+L43p92//rFpLnPcTvavbHVdQXz53/D5XLXrHnc3V3x6KOrVCrNBx/M/vzzQz0JtRdYWskldoG5+aU+nk5sxwIA4HHx4hx8vR1vdGcImBBCjILDsDEndOXKlQCWLl3a+7c2K6UNNbO//OtkJ8tlCaxWA39vLd7sUcLRx3z6q7HmnDEMo9fr+Xz+lr3nhJaO9tJmV0dZQYNtXML8rl7qkUd++PzzhVKpSCTiA2hqapZIhH1ogefO9Z/6OnCD/V07bto7DqeiUYXpcWzHwabP1iTZeMYsWTKQ/nUTYjZoL0LWVFeWJm/9Zqyd9Pm4KJZD4fMG6ELCHuNwOHw+H8DUMWGTYpyGRfq6OduV5p7PzUrr6qWWLBmmF+hbsisAUqmoD2VXABIferlUbXMtr5jtQG4ZG4XsIhSWd9ySEEJMgIYIWZCbdeFiyh4pXzltRNAcoRlsDzw0EJdyETVgVnRyuFA2Q2LMMqFi0Z1aULMmDv5i1b9HTf2DsrokyCPUJqRTuw8VCa689em/XnT3kQskUpktlytoqCnlMDoGHC6Pz+EKw4dN6kl5iF4wduqSjd++7eflbC6p4Utz8c/VeHMJxFSpixDS2yjB6j21NRWpJ3bVlF3zdrGePtqbxzWb7kOFFerMtMySScwaifUH8cRUE12ey+UsnjWqqjrVzUpY/9Ffjo4cbAAHXKGrd3jEsIlii/srlNZWlx/e/r2dpHlykPuCmGAxj6dWawyMQWJxZ/673mA4k7Yl5WCzs1cony9oVitVTfXN6iYel6vVNkcOn+blbxZbdHsFxpSWFzk72rEdCACAz8Pzs/Dxevx9Ce1RSAjpZZRgmZZWq8m+fC7n8kmdul4u5UQGeygiItkO6gFcLgy9VXnLHHg5QatDYTncHUx0BztbuZ2tHAxjZyPzmnhzCLi4pPTQpg/UOqG7X5SlzL6xtqK6olDVVC/iNE4dGSwSCWfeOl38QI8Lj8uNHRwAoKqmjjEwIqFAKLQWiewAMAxzNGVrdUXR4LgpJno6nSexkqsac9iO4i7Otlg4Dt9sw3OzOm5MCCHGQwmWSTQ11qcc3lJfXShAs7+n3eThrnyeB9tBtS2vBBFmMFLZmx6fgn//ir89bNq7cDgw3Jnc5uJs5+JsB6Ck/Iam6bpcwo+IlAuF9m2f3wpbxf1lIDgczujYkIMnThW7B7i4+/Y86p6oqyl1srNkN4b7+bvhcCrKauCoYDsUQsgAQgmWkalVysM7vmeaK0YM9pFFBrMdTufUNUFuZm+KpiYSwNsZVwsR4N77N3d2MH5l15HRQYdT9ri4s1y8t6q0QOHLwo+0A4sSsGYPXpzDdhyEkAHEbKYB9QuV5Td+W7VsRJhs6phwmXXfSVk8HJA78CpfzxyB9Ydg6l2JeqsKikgoUNYW6/W6XrpfaxiG0atqzHFXHysJdAbUD6SJhoQQtlGCZTTlpQWHt342f1q0teX9s5jNXXw4jl5gO4heZyHCvNFY8Qu+3GrCnVVsrFBUYaqL32vEYK+D23/onXu1KudKqq9H1wrZ956HxmGD6fdFIISQWyjBMo7iguyj276cO2moGa0N7DzBQB0pDvHC3x7GY5Nx7CJ2JJvkFg9PwDfboe2NjiVHe4WEKb+WcaYX7tWqy+cOhASY61xDJxvUNKDZTLd0JIT0P30wGzA/yYc2XTq2ds7koVxe3/x5VtbB1lw7HnqBpQX+MAWVdbiUa/yLCwUIdEdFF3aA7omR0UEZp7YW5FzundvdTdlUz9XVm/UHjLmjsTmJ7SAIIQPFQO26MBK1qun3Xz4N85PFjTKLKkTdVFAGt66tZeuHHpuMD35CmE/HLbvkSBpqGuFi/FntbZk5IWr/sQ35OcEjJyzgcFpJd0qKcrMunqgpLxJLxBqVii8QGHRanU4nFIkM4BgMDI8vsLS2C4uZIJPb8gWdKtHJMIadv3yaOMqs66DC1wUbDkJvQB/9IEQI6VMoweq+orwryXtWTR0baint49skD/LGV9uQMITtOFjF5WBwAM5cQbTxsoSf90MkwEu9uniNw+FMHBVWUFSxbdUyrlDK4QollnIul9dYV8Ho1RyDxtHWItLHWR7WXuH+2rqGi0e+VTVrtTpDs57nETBscNwkHq/1XxcMw2xb+/HICCeJhdg0z8l4pg3HnhRMY3XrT0LIwEAJVvedO/7b/GlDzWVXkJ4QCWDQo74J1lK2Q2HV5Bh8vN44CRbD4L9bMDQQcaFGuFrXebjZe9zqlVSq1Hqd3srKq/Ony2VWo2JDbn+bf+P6jjXLxdYusQnz5Yp7Ojt1Ou3OX/4zNNDaxan3eum6L8IPO5IpwSKE9AJKsLqJYRjomvpDdtUiMQ5JFzA9ju04WMXhQGGFvacxKaZH19Hp8dF6zBiBQV7GCaxnet6x5Onq6Onq2NSkOrnnyyYNXyC2dnQPEIkti/IuNlUXxQ/xdrDvOzU840Jx4hJG9OUxfUJIX0AJVjcVXc9yd7RiOwrj8XbG/rNsB2EGnkrEiUtYvgoLxyHYs5sX+egXPDwBHo5GjYx9UqnF+JGhAHR6fVl5XnOTZmyEvUhkqu2GTGVsFN5bSwkWIcTUaLJnN104tSvE343tKIxHwEdNA9tBmIcRYfjHo0i9hhW/4EbXS1it3Yf48P6XXd2Nz+O5Otv7eLmKRJ2aAm9eOBwM8ka6CVaMEkLIXSjB6o6qimIhU/vgjrx9W2Icvt7OdhDmgc/D4vF4aQ72nMYnG1BS1dkTD52HvRwjw00ZHOmxGSOwK4XtIAgh/RwlWF1WVVF8cNN/xg0P6bhp3xLph5gg/HM16mhHEQCAhQhPTsOzM/HVb2hSd+qUtGsYP7AXY/YJPC6cbZFfxnYchJD+jBKsrqmquHFw03/mTB7M5/fH6WuDA/DyfKxY19l8YiCQivH4VOzsRJ3305kQCcHnmT4m0mPzRmPTEbaDIIT0Z5RgdUFpUe7hLZ/NmzK0f2ZXLaylGBWB4xfZjsOc+Dgjt7i9BgyDZatQ04BnZ/ZWTKRnLESQiFHZSxX2CSEDECVYnaVSNh7d8dXcKdF9dT+cTjqcivwyTIxmOw4zE+COy9fbfPTYRYyLwqQYKhHelyxKwIZDbAdBCOm36P2gsw5sXTlldGj/KXzVljNXsHQ6+v3T7Kppw7H3dJuPJqdjVEQvRkOMQW4JjRaNKrbjIIT0T/13qMuoiq5n2UjUVlZ9s9C5gUF5DYrKUVCOqnooLGFjDVtr2MlhYwUL0T2NuZRatUYshIFBsxYiQSuPMqCUtE96KAEbD+MPU9mOgxDSD1GC1Snnjm2dMbq9vdvMl06Pf3yHcF+4O2BwABRWaFCivAaVdbhahKp6qO6az24woICWVrVhaix2ncLs+FYe8nHGlQIEefR6TKRnnG1RVgOtDgL6TUgIMTL6tdIpHL2qrw4OHr2AuaPv2V9PJoWbfdsnkDYEe2Lr0dYTrJkj8d/NlGD1SXNGYesxLBjLdhyEkP6G5mB1rL62ylraB9fea7RISsPe0xgSyHYo/YWPK7JvtHJcLISVFDcqez0g0mMB7rhaCAPDdhyEkP6GerA6lp151s/dlu0oOqLVYfsJqJphK0NFLcqqIRRg+CC8v5SmVRnNjBH4bif+OLeVhx4ej1W7W3+ImLlJMdh3BpN7tsM3IYTcixKsjhXnZ0bGurAdRUd+OYhIPzjZoKoeQwLgoGA7oP5IIoJW1/qUHSsJmjVsxER6LDoI76yhBIsQYlw0RNgxRqvqA7WvlM3wcYGDAsGelF2Z0JRh2NNGvQau2b9ISFviBuHUZbaDIIT0K/SW0IFmtRJ6JdtRdMKocCSlsR3EABDihfTc1h/SaHs3FGI8CUNw6BzbQRBC+hVKsDpwLnl3TJg721F0Qr0SEjHbQQwM3i7IK7n/4KnLiAlmIxpiDBwOAj2Qkcd2HISQ/oMSrA44ufqkX2t3HzozcToTI8PYDmJgmB6H7SfuP3joHMYOZiMaYiQzR2LnSbaDIIT0H5RgdcAnMIqxcK+ta2A7kI4EuuOLrVA2sx3HACAVQ6O9Z0AwpxjeLrRas2/j8+CgQD4V2iWEGAclWB2LGz//VJrZjx1MisGiBHz9G9txDAxTh2N3yp1v1x/EnFHsRUOMZMFYbD7CdhCEkH6CyjR0TCK11ujNOBOta8K5LDQoUVINNwe2oxkYBnlh+3HMHIn6Jny5FZOiW9+jkPQtUjHEIlTVw9aa7VAIIX0eJVgdUzbVi/nmWuh5RzIy8zEpGl7OiI+AjRXbAQ0YPi74eT8KyvHsTCjox95fLErA+kN4bibbcRBC+jxKsDqWenJfeJD5FRrNK8GPezExGm8sYjuUAamqDvll+NezbMdBjEphBaUaTWpIaU0uIaRHKMHqgMFguJGTOmJqFNuBAACatUi5jLRsKNXwcMRfH6aRKXZ8vR0xwXh+NttxEBNYMBYbj+DxyWzHQQjp2/pggqXXIPcA/Kf2zt0O7fghfqhn79yrPXkl2HIUXC7iBuG5ma1s1UJ6U4AbCiswNIjtOIgJuDugpLL1DZEIIaTTzHjudqv0zbVXDp387T96va4X7nYhZb8Vt8LZwaYX7tWeshr8cgAvzMbL8zEshH7vs2/cYKg1OHSe7TiIacyKx45ktoMghPRtfeatuvj4qsYzPwBMo5V3viQs1vT7vqUc3qqvy4wbEmDqG3VAb8D/tuKvD0MsZDkScrdFCVi1GyczMHwQ26EQYwv2xJajYBhwqLYZIaSb+kYPlkGnaTz1TcC8P3lOWyrm6eK95ByOaSM/sO17C10e+9kVgJXb8fAEWIjYjoM84A9TcPQCymrYjoOYwLjB1ENJCOmJvpFgVZYX52htrm7+oujQRrl7jOvUf5j0dsf2rnOxrA8P8jDpXTpl1W4EuCOA7c0QpV41BhdYB8E6SMnzbOS6G6R+aflcWAddq7RgOTZ2/Wkevt7GdhDEBIYPQnI620EQQvowcx8i1Crrrn8/jyuxm/D6Nj6/N1bMnTm2Q6ovDgnx6oV7taewHKt3Y/IwRLM/k/qdL36vqqp+55131q9fX1xcbG9v7+npuWnTtoceeujSpYw3FvmwHSB7xEKMH4L9ZzFhKNuhEGMbGoSzV2gpAyGke8w9wTq2e01E9KSKlB086AGTJ1gnD27iNGVHR/mZ+kYAsPUYSqvh43yz4o7OgOp6lNeiUQkADgq8sdhMqjC89uqrTy99RqVS1dTUjB8/3svLy8ZGkZWVlZKS0vHJ/d6IMCxbhYQhtBdhfzMpBh/8RAkWIaR7zDrBupCyXypU2rr6VeoNHL7J6/4d/n21raAq3BTZld6ArAJ4OMLyrgG13GI8MwOF5WhUgc+DwQBPRzjZmOF0q7eXLfPx8dFqtSKRKCkpaeTIkRwwAF566aW5c+fiyVC2A2Tb9OHYexpThrEdBzEqLgd+rsgqQKAZzBYghPQ15ptgFVw9X5F7YvzI0MIbFQ2RL5r0Xnq9bvtPnwwOsPJ0M0HJq72nceYKhgTi6EU0qSDgY0QoSqsR7AlLCwSbQZGtjnz80QqtziAQCF5++WWdTsfhcMAwr732GoAjR46gcBPbAbJtaBD+uZoSrH5o7mh8+itepwSLENJlZppgaVX1zdueTlj4VwAn0/LnPv20iW5kMBhOH91+49rpMcN8bRUyY166pApKNTYeQewg/OPRO8dVzTiZAWsp4sONeTuTKj0g4N58qfABMAYwwM1KGQb2wjIn0UG4kI2IXhlcJr2Gz4OtDMVVcLFlOxRCSB9jXgkWwxhqqyuUBWcb970lcfPPP7UvpwaDRz/L4xk/zqqK4tNHtjTXlw4OcYmdPNiYl76Qjd+OI8gDVhIsnXH/BswWIowz6u16ga6B7QjM3vgh+Ho7JVj90IKx+O53/Hke23EQQvoY80qwGupqDq2YHiCqsrKW6eSRIoVbzBAfK98hxr3LpXOHr11IsrHkjo70kVg4GfPSlXX4/nf4u+Htx6hE4cAiFEDbG7sLkN5maQE+F7WNkFuyHQohpC8xrwTLWm47+4NTtQUXbbwiTXH9hrrqvZu+DPK0nDPB2POyK2qx/hAYBi/MvmcmOxk4KKPurx5KwIZDeGYG23EQQvoS80qwAHC5XBNlV5kXkrPO7kwcHSoWGXXPmdpGrNoFCzEenQSZ1JhXJn2LSAi1hnY06ofsZGhUQdVshit8CSFmy+wSLFNQq5qO7f1FwpTPmmjsyU87k5Geh+dmUWpF4GyL0mp4GXXQmZiJ+WOwOQmPTGQ7jq4oq8Hpy1BQHS9C2NFvEyytVnP92qWcyykaZbWAo4kO97SzMerGgvvP4nQmJgzFX+OMeVnSd7nY4UYFJVj9k4cjCsuh04PPYzuUTtDqsP4QyqoR5Q9ra7ajIWSA6qsJVmX5jeN7fuQyzRxwDRwely/mAGD0YPSAgdHr+Vytl6tibKSTSORgkgjOX8WbS0xyZdJHhXrjp/0YEcZ2HMQ0EuOw8yRmjWQ7jnYxDHadQuo1PDYZ7g5Yk8R2QIQMXH0ywaqvrTq0+fO5U4fwuCxtVl1eAzd7dm5NzJalBZpUbAdBTCbMB78dw8wR5rtAOC0bvx3DlGH3FN4jhLCk7yVYJw78WlV4YdbESNayKwA5xfB2Zu3uxGzxeH1mFIl0w9goJF3AGJOswumRG5X4cS8C3fH247QnJiFmgr0cpVsunjlkpS+YMT5KKGR1F+TcYvi5shkAMU/hPriQw3YQxGRGhuP4RbaDuFeDEv/dgp3J+PM8zBlF2RUh5qMvJVhaTfPV1P3hIV5sBwKU18BeznYQxPzEBOPsFbaDIKYU6YfUa2wHAQDQ6fHzfnyzHQ+NwzMzqIQEIeaGwzBM79/1wIEDH3/8sb1916YxMQadQafkcc1g/KW8Cg60NxlpTVklHO3YDoKYDoOyKvb/ijUaVNbCRgZxe3lVWUXNM8+9OHfu3F6LixByGzsJFoDMzExW7ku6TavVCgQCjUZTWVnZ2NhoaWnp4uLCdlCkz1Or1WKxmF5dJhIYGMhlcboqIQMYawkW6Vu++eab4uLi11577eeff05PT58/f76dnd2gQYPYjov0bR9//HFdXZ1SqbS0tHz11VfXrVt38eLFhQsX0quLENLX0Scb0ik1NTXjx48vKyubNWuWSCS6fPlyfX0920GRPm/RokV6vV4kEo0fP764uHjWrFkWFhb06iKE9AOUYJFOEYlESUlJzs7OTk5OXC5Xr9dXVFSwHRTp81555RVnZ2eNRpOUlOTm5kavLkJIv0FDhKSzdDodn9/3CqeRPoFeXYSQfoYSLEIIIYQQI6MhQkIIIYQQI6MEixBCCCHEyCjBIoQQQggxMkqwCCGEEEKMjBIsQgghhBAjowSLEEIIIcTIKMEihBBCCDEySrAIIYQQQoyMEixCCCGEECOjBIsQQgghxMgowSKEEEIIMTJKsAghhBBCjIwSLEIIIYQQI6MEixBCCCHEyCjBIoQQQggxMkqwCCGEEEKMjBIsQgghhBAjowSLEEIIIcTIKMEihBBCCDEySrAIIYQQQoyMEixCCCGEECOjBIsQQgghxMj+H9dp1u2JnbBIAAAAAElFTkSuQmCC\n",
 1092        "text/plain": [
 1093         "<IPython.core.display.Image object>"
 ....
 1100      {
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\n",
 1103        "text/plain": [
 1104         "<IPython.core.display.Image object>"
 ....
 1133      {
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\n",
 1136        "text/plain": [
 1137         "<IPython.core.display.Image object>"
 ....
 1221      {
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\n",
 1224        "text/plain": [
 1225         "<IPython.core.display.Image object>"
 ....
 1265      {
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\n",
 1268        "text/plain": [
 1269         "<IPython.core.display.Image object>"
 ....
 1309      {
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\n",
 1312        "text/plain": [
 1313         "<IPython.core.display.Image object>"
 ....
 1353      {
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\n",
 1356        "text/plain": [
 1357         "<IPython.core.display.Image object>"
 ....
 1705      {
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\n",
 1708        "text/plain": [
 1709         "<IPython.core.display.Image object>"
 ....
 1881      {
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\n",
 1884        "text/plain": [
 1885         "<IPython.core.display.Image object>"
 ....
 1914      {
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nLiWcvpwQFeZDbUItGRs+q3OoQ2m5KvZOpljIdrLj1tjB280m7vo5heM0g6Dj09vLC1PMJkNrm4DVChMsGwefB7Gb3QJ7WOXquUnnEmP/aj9oroNnu8adgc0XG7SKoszbdm5tLdkfo3JUgp4afhedoHOR3iXj/ulwf1G9U7+tRWyr691V2quLtG+3Eg8XdcJDmxB/uYNdA4aHV/x04KMZg7hNLjxBo1E7Rvi5u9it/f1oYXFFaIB7yySmOI4EPENIG3nvrtIla4JjehXVuCyVSvF0dXAS80mp4HXxepKzg9Df2xlBggWAVbXSN+Um0uoMS9buXjpnHI43/g0Uw7C3JvaZMKzrZyv+uXUv3fIDtx25v+Pko6dv4rBZzIkD/V3cfa88qGW2DQXHe4dxzIqsGttTb+3zazeyccG/Vqg0psmgNZuadNeMU7LXuWiVS+FXSJnJK/xTnL+KVvwvLX2tXc5XVOkpXHqBMGlrHKLXyK/uW6RVVfSYuIrFa9LCPc/QgWp5Sf7D2IYeSHC8M/kfbtzfGpdS1io5ldc2oK7SZUfPOc3/JnT+N6E5BWyZgnb1zsMAHxcHu9rvrzWCq5Pom08nujvbzf1qy/3kbLJOawk6zTxlVM7W/R7P/6qNl5jBIKehzbHzdwf1svQmNQCg+bSi+bBkIQhi8Zpdn/9vJIfNaPrZPF3F65ZM/3vvxRMX4j95ZyiXU//X6FA/2603bPO235s1IZTJfPymWV6hLDfYYcikVGm4nJpTSWg0BksVrxf4P/UozEaDlsasOdwFauUZOiDnwRmvsJhGHk8QbrRHb40IMJnNy3eecueXTxvkV1pRJFcyREKRtDyDihP7L50vcl2E4Y//QdPjDhemXYsaPO9FqRWhKaQr4qn6EhxHyKjCKDQcpxlMGEJIT3cx8EJxliNCyKwpwShMjMZtF+J2/dB8e+MEuttgM5VNVyaYuIEEx4JFc0z7IkrHzLwsb7fWUp2hBp0eL5IyPVzUjzJ4bs71LJc7fcnhh6X3tDrKuj/8FCrDpRv7h/b7dPmPWL9uxR3Cy8kacurRKSg6KuDvvRf3Hb/x8YxBYlE9U9HJ0jGi/MBJF7MZa6YqWRk5xd7uDk35YgkAIMsrmGCt++PYuCFdXJ1EZJ0Qw7AZ43oVSSuXrd/brUPgsH7t69hZrzecj6+0p1RQCPTdjvQ2LlQKhsoU5hKdWO00gzBpd5358a0RAU8fYjKbFRo9kyjTP7WxFd6Ja81c23S/sn9RgxIstvQYRZulFA0xUwUYhV0oYxy5mB7sZaMoy1XS+TgFt7cT2tshhFDVaiw+p7TYbEA4XVGef/fYt/4ewj69eyDNbcIkMtp0rHl26aVO3FPde3jweGw2i4nQk8rjOr2htCwjIeNeTom+XEX1FWsZVKZCZUACfP4v7yxdu3dImBbh1LbtBWdu302qjDHZ1PV6q6K363M+7vtWm2AtWh1sa2PAcaKohLnyi3oq+k4dnbP9oPvkUblffPhw2bq9v6+M8fd6ZDJjJy44zl4aPmV0TvtQcvouUCj4mxN6K1XaP3adQwi9P6U/g94Slau6dyy9FieKjiptjpP/vffCgg9g2BuAVuFVS7AOnrzl4mjbPtSH9DM7im1WLZxy8uK9T77e8vHMQTVKJD/KLN55+AqN76Wj2hMG9EZvZ39P2zPXs1MlBIYwLl2r1/MQTsdwer5KbDCanp5j+9vexHSVO+485OkT5iad6zr6K9IfxSsLw2g0ll6roDNrNlGpFWHS0EsOhgd5XC9L4WoS9bhAzQn3d3lgxvAwV31iVo5e70l/6uO2oKg02xhpxhj3T2/QaxVdhs71LF87qWc+QaDdp8/lCtohjIoQIvQVgtJdQprcxxGL6Rpe6xQfBp3m4iR2cao9GVo+f+LSdXvWLZ5OoeBTB4tO34i9mv1Q6TCueuQMIYTMerO6AOd6PXn0OC1X6yEtqxSL6qq81fKu3hHtP+46pK+kd5cSCw8J8pOfu2qPELp8K6WNj3OQHxchgoqIEQMKh/cvnL00PDyokkolbfiHy2HOfnNwWpbkq/X7OrfzH9KnkRPpLNcxvHzXEbfmSLDKK5VcDpOUkXsAQNO9UnOw4pOysvJKxg/t0nyXGNgzfPn8iXv+vb76tyMa7ZMhpzbeDgs/HM5i0Sj6kg+HuwZ621FwfGBX74/H+Hw0xnvGsCA+8biepIFqp1Y/uUtiMpvzshLf66nmS3dWbzTqNVQ6C9rjNIh/x7Fptw9YsidVHk+Xnq4QTbyTptGxg204mB2zQk9zVusJP3fbSSM6YXqpSv1kxlVJWeWuc5L0InRp13yPkH4dh32BY6YOoe4X75VtPFqaS+lJKTzIf/gJnrPFt2Ldp6MEH43xGRTt3bgJ1LY23A+mDvj258f9f/p38pjQURVYvoxedurJTvIkWvISZFQjhDBVJluyjVmwVSUa8uOBgrxC63TVfB5BoPV/+t2+b7t28X3LsyuE0J0EoZebSq7U7D9+Y8KwZ1ZWYhgS2ugpFPJvrvl5OX3z6UQmgzZn2d9Jqc1bt5bPM8iVzfLN9vedZ6eN6dkcZwYANMKrk2BJSiq27b80563BzX0hFpM+/71hY4d0Xrxm995j16ur19Bo1HeH+/KZph/3pi79PeHXAw/zCh8Xhc/Mk8oovlV/55jy+bwnBQANeuNbEwdwWCw1M7B6Y3rcIZ/IYc39QF4xQkf/cslDS/a0UV+d06ckin9leGcbQlNCwc1RfkyqNiOtQIsQwnGsZ3SHB+lShNCtxPz1u1OX7FDuiq3U6/U9xi51pKQ6lvzkrNjt62HXOcTO087QTpgwwDt92pAAenls52AbZpOnKgf4uHQI9/1z1/mqHwO9RG+NjvCn3iJ05f89gAhTh62IysZkCWHon89H4FM7yzgp8yO8aMWV5BRva7ot+zw7hpfPfjOtQUfdjLe9dFM8OqZg+Y/7nu8cihAyGjF5s7Wg6RsdunLhlAvXkr7+YZ9M0bAu1Jaj08waLfnfnbQ6g1qjcxS3riFMAF5nr8gtQo1Wv/zH/asWTmmxgkAeLuJVC6dcupk8e+nfk0Z26xDuixDicFhzpkSpVJrkTGnsXclfJwxdgsvTizCFQqG1H1OVzNqyNE8HyWTSfTzE248/MgjfqN5anH03oPPElnkgr5Kqtjk8kVvdu9GNUjth8IQY4flb2QTLkWIwdWjreuTcwciOUVU7DOjiJVepCYKIvZ117XYyh03tHRaOm85pL/82dlzfiBBvhByr9pwxTFh9Wh9Pt1IFOfU/+3cP+237mfPXHvTuElK1ZcIAn5z9exUu71b9yCz514sW7+7I6tsxEMMwfy+nRe+LW1UN97Qs7vSx2ZbvL1fScvLZOw65r1967/DpW907BtnXtnLwk3fSvlofGBYkmzg8j0YlvwEOjUr5cPrA8krlD38eFwm5703u3xz1L5gMc24B292FzBxu6/7YN4Z3I/GEAIAmehVGsAiCWLR61xcfjmKzWnryQfeOQeuWTE/Lkny6Ylt6dpHBaNp1KnXt7rR/L+XpaG5K+/GnysZkCOeXuH+FM6vm3JjZ9JplBs0mc1YFD6M9XjAI7XEare62ORRZPLvsJKX4VL7R/0FqAUJIozMhhHMYZoTQ52/39vO0r9oTp+AsJmPD3yeUlYWblk/8Z82bQW40OmaY+sbwiBf3wuvZzrlHO9JKu707qd/F60lpWY+bVDIZdAHtyecxbiiZMsivXyev6mS9VWVXOj2u1jRskGbhyuDUTO7y+Q8kJRXxSVkvmgslFOjXLEqICK6csywst4CcspzPs7XhLp49pnfXtgtX7rx0M7n+Axpo3ruP/t7rSeIJTSZzVm5xG5/6Wx8CAFrMq5Bgrfz18JRR3V0cba1ydRzHJo3s9vW8CScuxE+a/UtsMuHjSBvQ2Rk3KdnyS/zKU7Sy89U7E2YT9b8V1ARBbDtwHSF071FhJefJV09oj9NodbTNIYxqm/KDVG2mSHlSqL4u5NMRQj5ObKz0ukhARwhx/qudYTSa/tp9fvGa3YN6RS6bO75qAf+0YaHLPhoQEeBQx9W93ETkZjmLZ43Z8PeJSvnj2mkM6pPUXM0IzClolmVopFi6NuiTdxrW+4/LNo4eVMDlGNb+/u9n74+oe+e2AbLvP0/8bbt3kZT571knRfNMaQr0dfnu80kyhXrWks1ZeQ2YRlYvBt1MbvvpnYevjIbeOAC0Mi99grX/+I1AX9ewIE/rhsGg0z6aEbPx62lCfVzaowc+bsLPp/gvm2S3eJJ4lP8DXt5GwmxACGE4Lb8cq+pLePlunkyLIYTupKqQTXj1qVSVEp6tq7UeyMvO0bt9cXbNXt1mZa6LZEVMO7bSwCgvydOZ6Rw2CyHk7+3INedKKx4vVjCZzP8cuLTgu+3tQ32+/3yyr6djS0f/LCqVsnz+xGXr9hqNJoQQg/IkwTIzXfNLW8t0qxpyC9huzhpXp3rqXdVQtTDw5y2nJo/sbslQNIdt7NWlZMchd5FQ//n3bSUlTa3z/iJD+7b/7vNJB07c/P6XQyo1ac85iXMZCIK4n5LTHEunAQBN0YpuKzTCnYSMImllE5uUkchOyFvx2RuVctWm7Wc1Wv1bE/u4ONpGhTh7OMp/Pb5B7j4HYZhUOP6Pg1uGdfM4evbW1BGdEEJlGg4SPn67LStIFrlY2poaPM87YujtoyufabdMEIyUL3sOCDx4UyOkpHfsHpGcXWkr5COEcByjmGRMGsNgNO08fCXxYe7E4V0nj+reHIGdv5nlIOIE+9o36Cg+l/XxzEGLVu/6dsEkPhtDRhWiVq2QMFFaTf/Bb38OoOBEeHDlkTPOfl5KPtfQN7rB4z1GI3b7fjqFgocHe1p4SN/okqoLhQdVrvgpoHdXaYOWK1qOxaR/8s7QgqLyr3/YFxbkMWFY1ybO9dTqKAw6aUNYh07drrs4HwDAKl7iEaycAuneY9dbT3ZVzYbP+fT94bPfGrzz8JUvV+3MyCm2t+NP7M5hFW5BCBEc30eCzzac4+Di6AyJLq+gWIE/KWiUdns/tMdpilra5mCYPuynnY+6qu3HKuTlsbcfBfo8yXJGdxMV5qcvXLkjNMBj1cIpkbVNscqTlKdmlz+/vUFYDOqOQ5eq15xazsvNflDvyE07zmp0BMIfj9MwVQmBXqR1j2kKaRmDxTS5OGruJdn89HV8v27F+RKWv7eioedRqnQ7D199b3K/RsTAZpmWzEk5c6lhyWtDuTjafvf5JD8vpznL/r4W16TeRBeviztHlpEV2OVbKd06BNa/HwCgZb2sI1hKlXblL4fXLp5m7UBeSMBjz3t3mFqj+3vvxZwC6eiYTuOi+PtvbFA6z8RoXJ3zRITQFVXqrUvxOof+VV+HoT0OKTxDB+QmnfUMfZJ5Y3Q+4rg5lW4MbudxKpnHousRQmUVir92X5ApVFNG9ah7dvC+s2nRoQ4INWmSX+dwt2Pn7hSXVjqKhfXv/axuHQKz8kqu3U3ndKcghBBhttUnikUB9R3XEh5m8NoGyPp0fTx0FOQnD5olb8R54pM3HP5jVKNHhlLSeJFtKxt3bIO0D/Vp19Z7/4mb85ZvnTVzsJtzYzpGxN6wW/HZA1LiOXEhfmDP8Pr3AwC0uJcywTKbiS9X7Vwye2wztbb4ff+9doF2kUEkTIRisxgfTB1gMpn3n7hx69610AB3vWJdoUok4/fB+P4Ex1/H8a/+SIH2OKSoapvzJMEijFjJ+SDahSExgWI7fmZR0tb98UdPX+VxWTPH9663i/D+symlJte7GbKosEbGo9Zoj8amj+kXNHF4V4OxkWPGI/u3/+v4IU/vB3auIUT5vf7taraztAqjETsV6/Dh9IwmnmfT9nO+Hr1EwkauAl7/p1/iQ8GbE2q2S28mGIaNGdQppmfExq2nzIR51szBTEbD3ojsbPXZ+Rwvt1pavzfU+WsPVi2c0vTzAABI91LeIlzx04F3JvWrtUxO011PkEgU3IQMJYnnpFDwcZ1/FcEAACAASURBVEO6rP5yqp+3c9L960TJeVbaErNWWmO33KRz7kG9SbzuawrDqDSmTi0jTFqzpgSXXoigHZsY09ZWyD106lbWo7tiIePLj0Z//r+R9WZXCCEcw42cgKbMuWEyGAXFFYt+OMZhUd2cGvmiPXGjMHLspsSLf2gUpQRDVEHCR3NTmUzY/76MGDmw0FGsrX/vF7t9P11vMLg6RRaXNnKi+tTROQE+ii7tSLvpVgeCQNn5HIQQh82Y/96wsYM7L1q969CpWw06yf+mZWzcSsKc9JMX7/XrFtr08wAAmsPLl2Bt2XcxKswnyK+51tk9zJHLvRZUakhblKTV6QmC+G1v/OYjybcSChheoyp4A6/kul89vCY3+Tz6b1JOy7THIUxaZGqlq8/IQhjkwT4Oabd2CyWbnKQbzfb9LhZFDvngn1lLN9vbCVYunPL1J2PZFvdreyRlGxhuyCCXKxtZFhLHsTnTujm5ep25md+4M6g12tQSDs4Sdx3z9fWDy0yIqtKaGncqEt2+LxzaT9KubZOa81TIVNsPXv7ftAGTR+UePNnIMk40qlmra6G3MgxDGzb7mEyPE25vd4dVC6cIeOzZSzcnpORYeBImwzRmUP78b0J/+MvPaGx87n7uamL/7o0dWQUANLOX7BbhldsPdXrjgB61zDn4afv1fp1923jX3kO3XlqtPqdAml2kzVOIEB+Vmx3kChWfx9HpDU25EUkQxJYjyUodoaS4KuzfJ5hlGENERai9HyIIc86DM5f3fM7kigI6Tch/dLm52+PgsngP5T+FWDud8xvNeiEropZeoBrLWaY7SQ9uaQKXJMQnZ1/71Ml0o1d0N0Ij6dKuTYPOJleoNIQIMcTFhfqiUg2f2/jKlu+OCsTxxnyUEgTx55H0Coe5GEJ0Jq/9oHk39i34cHHHRkdCFpmCJrLR17/fi5nNxNK1e76aNx7DMB7HGJcoXLYuyM9LOaxfIZfTgJr4Gi2lUk774vsQgxEP9pc3qIJ8IwzpI/n3rNOIAYXVW3p1CenRKXjHoctb98d+9v6IqtppdesYUd4xojwti7vgu7a+nsrxQ/OFgoY9mScv3usb3bbB0QMAWsrLlGAt2XBCUlCw6bu3nt5oNBqpVCpCCKcxd1+qmO/MZzEbMJPDZDbvOpWWUco3UnlqRiczywV3cUUIqexGbjn+/fg+7qt+Ozr7zZj8ElVbPwc2y9JhLYPBuO6fOyy+faWOq2IPM9p3qNqOMZ5MicUw3LPtAM+2AzTKskc3diVf/Ses93sCO086q/535wYzm1i5G5WZx1RteuuFPcg/f6thwjl43qYcpWOhnHnm2K7AoJDJ4aaubSe0C7KXKxuWXSGEMvJldF05pfw2h27w92zMdOZqNGpjxiaNJtP2449yueMx2uNXBd/OIyzQ7eTFeD+vmKbE03Q8rlGhatIbyMpfD08b20PAYyOEXBw1G7+Jp1HNCSmCn7f6yOQ0hJCtjX7eu/UXLLW3061ZlFD19yNnnLcfdJ80MrcpgdWtVxfphs2++4+7jB5UUL0Rx7HJo7oP7tNu044zdBr1f9MG0i2oOuvnpVz9ZUJWHmfDZl+xSPf+FEtnsxEEcfJi/PqlMxr5GAAAzY+ydOnSlr9qXFwc0knbhdTVV8RgMC7/9Zwtn+Vgx0MIyZWab3857tdzTl5mkr8br+rNiyCIL1fvDGnj8fOBjCI8SofblubcCwuw9EbDlXuSXRcrM5mTdHb9DLxwxHat/hjDKHQZNfjOw3KDx/S7j2T3lF0T7t5iEjKzyUCh4BiOU/Dab0kYjKZtxzMvJ8qlNuMqhCN1/Cgzq56+NzQ6m2/niRByC+yZfGVb5v1jWmW5QOxJoTa1bXA1TJFCUySawtaqbHohWpMSuNY8E78o83byuXUcVMbEtb5Df8fz9jnSc9+b0NHPww4h1IiRSCcxz2xQilDm9NEd8BasO6XTG9Rq7dX4/N2X5TmcqYjzzHwdLsPI1iaXlFVatzWKSKjfdsCjev1gQ/179g6Pw+wb/WQKEQUnEEIOYl10VFmf6JI+0SU0mnn9n/4JKQKTGeOyjWxW/TdGhQL9iYtOvbrUnOBIro4R5bfv2+496paSxo8KK69+abCY9OioAAGP/f3GQ1Qq7u1eV+n/akKBoUcn6elLjqGBMibDovpYR87cCQ308HKrpzLFzfs5LBuXsDC4jQiAFbTeEayzN3MVnvO330s0o/y2fg7L1u2ZNSPmqqF9Eq3nmgPbu/oV9+nogWGYGRf8fEyFU+39WAl9Im08XSPrPzVCBEGcupZ1rcBT7TzuhTsxHXTMERhCeo4XBaEKmza7slNoaUU0cxlulHMpCiFTR6caHW2ZdBoK8hLkFSszC7R5pQaJ6F3kYNEba7WH13f6dxjDFbp0GLoAIVSScy/u5DqjXiNyDvQKH8zkNHhhf83Hyw9W84ObeJLWiTCbCtKu5SWfNxl0Dt7te0a3XzDeYe2OB7ri33K0Ki//bseu5M0YbtPoWeo9o17YfLAOOQVlVxOkQ7t78zgNy5IvxeXdSTfKTCIjRaDjRCPXWqZCG+z6V+pzD5za72RvExXm24jwSMFmmeg0s8mEUSgNLu6VmilJSMld+NGouneLCquICquokNHvJQkWrwmOjipVa6jjhuTxuC+8gfjpitA1i+43NJ5GmDYmByEUn2SzZG0whhFL5yRXv8SC/FzXLZl+5Mydecu3vje5vyUtASrlNGkZ3YZfs1Fprcxm4vKtlNVfTm1C+ACAZtd6E6wAT+GdE7/L/L8/cnfjl2s3BYVGJUodkZiL0QVytw9OF92N23meickJpxia/tGs4Z4CXs3ZV6lZpU5iNu+5eTP5kopdF4pKeKPNDg2qmY7jwmATCq76Eq1GqOqbe4KihDBpT+ckGmhuBM8Pc2nM+nmVrOjpBs/2HuH2HuEIofLClAexf2rVlSyunVdYjK1Tg29yvap0alnOgzPS3PsIw1z8unQYuoBCZRB6OZ6++GiskoEbRvZ2y8uwYdPUSamqO0nCqBA3Eq9uNmM4XldWcf2BNEdqlsmVPI5F1bNMZvPdpILLD5TF7MEmx/q+JGCY0uVtkaD/3NVvD+0r69xWHB3h1sTa4o3j4arOL2J5uDRs+r9Mof5py4m1iywtYicU6Ht1kUa2rczK5Qj4howcbnjwC0teffbBo5W/tvn+88QGhdRoEcGVEcGVv233LixmuTg+0x1oWL/2Mb0i/th5buv+2HnvDuNza39nuHLb7tJNu7xCtuWVsXb/e3V0DHQeBKC1a70JlperkMW1lSF0JZUmjFhoDuqlQKj6M8RkE1liE0noyoIUKyePDcMpFKVKw+U88xZ29HLGgE7Owf6PEyydTk+hUo7EZsaXeGqcFyKMnGVHGNMeQ8jAcUdPhdcgZQXJdi61Dy/ZOgfaOgcihDSK0qyEE8lXtmIYbu8R7hrYk8Vt0pSgl5HZZCzKup2fEqvXKhhsgUdI/5pdseXJE/p6xCYqnBxE/l6OHs7cG3cehrRtS252hRA6dMpZrqTVMZl6woDHVUDLK+S3kkrFIm67wCd3c8or5BVyzaMCfWYRQcW0GIaVqtgV3N7IuQG3cjCuR+TUQzt3firhjrmZdPh/Y4NZzCfTvAqKWBeviwf3kVg4KNI4PI5BrmjYjVezmVi0etfiWWOpDZyUJuAZ6sirqgX6yuk0c70ZMLmG9JF8+3NAn64lAb6KQN8ndVZpVMr7U/qXVSh++POYUMB9f0p/CqXm2050VGmH8HKjEbPkBihCyGQyxydlTRweTeYDAAA0g1aUYJ26/Ain0ft1etw3Jie/qITaPufBGQzD3IJ61XoIRrMpUNr+c/xhlkSDjOolH3T/bc+dId28PN3sDUaT3Cy6ligN9ndTKNXJmWWn7hkIRFHYTUROni33qCyQdnt/u4Fz6t6HxbML6joFIUQQZmnu/eQrWzXKMhyn2nuEu/hHs3h2LRKpFZhNhqKsO4Wp13TqSgynOHpHhff7H53Je35PwqimK+Iu3i0qrDAPjfak0agj+rdf88fxMP+G3a61xKiYgoUrQ+rehyCITXtuPUzNwNrMsslLzitK83Zi3k1VVmrppWZPwkSjMVhK8X8JYqNuAtPo7E7DF149OO/NQWHzl7cbNzRfb8BzC9hpWVwHsa5zZNmm7d6fvt+kpi51U2upLGbDCkYs/3H/u5P62dnW8i9Iiko5TaujtGR2hRBycdSsXXw/KZX/2z9eaxcn1Li6SMhbNGvM3QeZn3y9ZczgztFRNUvw02lmy+cH/r334uSRzdIuEwBArlaUYPm5C37afT/C31bA59KoFGmFrqRCK0m/22nEohceg1Pknp9ppCc9eAcy8MErdmQpyvQHr5TpqZjGgKmcpmboipbtuG3EBVpWL8KjNTaUaGh7HAzD7T0i7D0iEEKE2VSSez/l+g6tsowgCK7Q2dErSuweilNILnCvlhWbjHoWT0ylM81GvV4rp9O5kqzbTj4dm6M7tbw0pzjrTml+ktlspFDp9h4RbXu+xWDXVaITL7vmLN+F07l5ZYRep8ktkkWFOEQEe7w9vodaXYGQJ7kRIoS83FS5BWz3F98dwzBsYBf3KcPCdpw4l0mEx8q6XSzXULgemODxUBYp5cg4Nk6RQe4qWfLqRX7X4kRMhrlXF+nM8dlVv91xyF1vwOk00voK15CZwxk3JM/y/bcduNQ+1DvYn+QBxacdPetU/fBbEp1mjgiupFKItb/71bryMTLEOyLYa9eRqwu+3f7h9IGuTo0ZgdZo9Vl5xW9OgHLEALwEWlGC5eZsx2biG3beIxhiOwGzSIYSbp7sNXl9vQdidFEhMYCwH65ACHmggqd+ZWQ6KwQWTXu3lqYsysNwioNnpIPn4weorCgsyryVdf+4yajHcJzFE4vd2opcQ5p+MzGSeeLypQsfzZ9/6dIlZihup/zL3d3zQNq+nu2kiXmJZahJCZbJqC+XPCzLT6ooSq1q0sy383Dwau8TORynWPr6xCoTw0M92vrY/LH7Rt8BoVrd40nQ3TsGfrlqV0yviKZEWCs7W11ZJb2OBAshZCPgFRSVejrzRrWpjL13TKM1pEj4akFXnCEkOI2ZO18rgXsnruno4dOXxw/tUuNXE4fnHj7tPHZwIwuc1k1vwPUGnEG3NHu7fCtFpdZOGdW8oy/Z+Zxh/SXNeok6tA2QZeVxvtkQ+NbELAe7mgXuMQybODx6eP+oP3edlynUs98czOU0rKDxxq2n3nmjMf2wAQAtrxUlWDQa9Yu3u63cU6LynJttMlw4MSd67DeWVDbXC6L0KKoFImwOucnnu45aRsqpuEJn33YjfNuNqPpRLS8pzUtMubZdoyjFcQpBmOlMvo2Dr429t8Dem8bgWH7myVOmqpSykJCQo0ePDhgwwNPT00Zom5mZfufOnQZFSJhNivI8WUlWZUmGojwfwzCz2USlMYWO/vYeEW06jmt0IXtnelaH4BCDwajUY8HeIibz8do9DMM4bIZcqXnRFONGKyhi1dub5dLd3HPxaoYosFhWPGmAD0IoM7dEoYzdcy6LZhvKpuuMRrOC6qO364fhDVhsaFZLMH2pQHXNhiFn04z2TtjQ7v3XbPr31r30DuHPLCrsFFl++DvnIX0k+RKWn1cDuj+pNRQajaBR60qefvzL1/Kxooyc4hMX4ld81uwVbgf3kWzY7Lvwo5TmvtCLDOtXGBlSsfeoa0YOh8M2jhxYWKPYPZvF+GhGTEFR+YqfDgT6uU4e2c3CBQql5QqNVu/u8srOBwDgFdOKEiyzyfzrwTSF0ywMoWsHlraLmVP3XaFXgFGvodKYzdQeh823dw/u4x7cp3qLTi2TSTMrilKzE0/ptUrCbMJwCkIEhlFYPBGLJ2bz7ZlcWwZLwGDbPP3knzx5rE+fPgghBoMRGxsbHR1tJjCE0EcffTR69Oj2/32mG/UanUamU1VqVeUaZZlGUaqSFZkMWoQwhAjCbKZQ6TyRm0Ds7dl2AM/WFTV54RtTsk9r2xsxbHUUu4fZ5YcvSQR8HuXZ2dNjB3c+cOLm9LE9m3itGkrKGPZ29dzl83S170lUVCrz7t1/2DlI6O0m9Ha31+r0wwxYu2AelSpECOUW5J26+V021k1nW/tEQ6TOd6zcZsMymRBFoWep9bivrczPhxce4ESjPhmb/OSdoZ+u+MfJXujm/MyAZafI8lW/thHwDaaz2PtTMuqdMpVbwP5pi4+tjcFgwFRq6psTsqozM70BT8viSkqYCCG5goZhyMfDoqStrELxw1/HLF822BRZuZwbdy1audl8XJ00H05PRwjpDfjn34WEtJE9P87n4mi74rM3bt1Ln7307zdGRHeM8Kv3tBv+Pv7xjEHNEjEAoBlgBNGis0GrbNq0CcmT3xn/zEKYM9czT5WNQDz/e2d/FruHu/h3bfnAWtjD6ztFrsFiNyu3ayUIs0Yu1ShLNYoyjbJUp6rUqSv1WgWG4Uajjs7kndkyl8F4PK/LaDRSqFST0UylPl4P1XX0suo9mWwbOlvAZNuweGIWX8zmial0koeOnoRt0rrlzC7kTTCLe9LvfyTgUpTMiC9GUZ8v5f/5d9u/XTCJ3Kuv/KXN8P6FbXwUluz83aYzXDbrw8kvXPn11+GUZN6niFJLEwKa5MCs3uWO9jb1XkWrM8xbvnXlF5PZrFrOk5zG37zHc9TAgvDgyp2H3Txc1TZ8g1xBTc/mFhSzCAJhGDKZMDbLNOetNCbDhBDSaCnbD7rnFrI5bKNaQ6HTCF9PpauTmiCw8kr6yYuOG76Kr7cIlkarn//Ntm8/e4NH9iBirb7+IdBBrHt7YqY1ylbUIi2Le/aKQx0l2s1m4u+9F7LySj6aHlNHA/vM3OJ/z8bNmtmwBOuHLbG2Hh2mTJnSoKMAAKSw/gjW/rOP7PjY7QxMSfFEDv6Z944x2DavQ3aFECrOvhvQeaK1o0AYhrMFDmzBC1fb3c5Ggv8+HMsKU20cg0wETqcghJDJjDqPXNIiYdZEK4+15bNymV44Qrqgb0u0JWzlzapZXDW4OonyCstqDO00EY4TJrOln+EL3nkyb8ZsJp5vSjigk0N67Em9w/Dnj9Xbx5y+vW7q4PoTLCaDtmjWmEWrd61aOPX5SwT5yVctTPj1H+/TlxwmDs/Lk7AyczliW92g3kXVBZyq0qxqLKbprYlZL7qct7vy+1/afPHhwzpCMpuJz7/bvuCDES2TXSGEFs1KOX3JYdbS8I7h5QVFLJmCNnlU7tOlE1qYn5fy+AWne0k2L6oxgePYzPG9ZQr1j38dFwq4707uV2tXpY1bTy2fb/33CgCA5ayZYMmV6t8OpEqF401yA+YUgTCsrCC5NP9BhyGfWTGqFqOWl/BsXa0dhUUO3X7y92sH9nQZtdRqofwHr7jD0jwUeTpS5EZzRQJmE4J43rjsHJVWy3rMcUO6bDtwae7bQ8i6elYep7ySHuTXmI/t8zcz45IKB/UMbOv7ZDKNi4OtLZFR9N+PhFHNz1yhdJ5BcH2QupDPtnSY2cFO8OaEPms2/Tv/vdobh783ObPqL/7etYy9NWjUJ6SNPClVcPWOqGv7F85FW7Z+z5sT+jRuxVyj9e9e3L978f1kwdB+EjbT+Nm3bas7FVrFxzPSvv8l4NZ927cmZL2ofoSAx140a0xalmTp2j09u3fp1nekTq/n87gGg5FOMUpK1cPGTGO6dCqRltpzNEjdLKsWAADkIqfYZkMRBHEzWbH6X7zIca6Z3xYTRSIM0yhKH1zaHDV4vlVCanlV7XGsHcXLyaynZv1s1ki1OiM777dA3WaOZCtFFu/OLa614aBYxC8plZF4/XNX7CcMs6g8wcP0AoPhmUG1jqHOOsS+FF+zWR5mVCHivz31ZSy6mZb5M0II43ndKxJtPvLwYebjBKxIKtu4P+3Etdr7GQf5ubYNcN95+EpDHlAjjRuS9+/ZF/ZD/OGv432jQ9sG1NVytPmEBcn4XAOGoQoZXae3zhtdFQxDCz54GBVW/s2GmhWwavDzcvrm04l2YvGGP/YfPnXrh037vlm7WamjHz557cdftp24mLB1z5km9hIFALQY6zR7vnv3bnK5KydwBkZ9fOPAZNRf3b+o65ivKdRapo+8ktLvHvZrP9LaUTRYa2j2zCg+FOaq6xAoeJQpYdBpnm52qnJJgCBr8uAAlVpLpVCeX5ZVIVfp9AYn+6Z2dawSGijbuM2nd30dhSXFpRvP0x+lZbcPsMVxXK3RZuWXOtsLjQZTx2ChDf+Zu2ZejrT8xOMaI9XMcsdoApVNH6O4F4ZREML0/PZSRvT9TF38/aSUjMLYFFTkMDe/HBWk3Qn1tcWeuxvo6+l4/toDnc7g6VqzfxS5UtL5ShWtxiq5KtsPXraz5Q/oYeXic3GJQhu+McKCEvDNzclem5HDzS1gs1imusvrOzm7JqRXpqenFxcXDx06VCar7NCpa2lJfnZOgdFo7NEpCOksbWUNzZ4BsCJrfrF7giCu7vuyfcwnDaod8FKroz0OqBth1nszHng788wmvU5PMFCljwtfqmbhmPaXA6kLv9/xILWWMkhD+7b/90wcWTFQqYQld9M4bBaDRs+1eefH3Ulanf6XA2l/3vJYvyfd24Xr6VJzpZuTvc2sCUFDPO4Qj3ZXbXmmdgOGm+y6lzjPeyhcLHObg3CKQdg1EZt49mZOrZeeNXPQ6Uv3M3KKG/cALfT3Xo9BvWt5tv89e8doMo0c2KFZr24hvaF1vMshNHN8tshWH3tD/PGS8Oz8ut7rDAYDi8VisVixsbEYTnd0dMRx/KOPPrpw4UKLRQsAaKJW8dZz58Rav6jRPFEz1ndubdLuHPB9CYevWgMMp2dpffeltDnwMNjbw3HG2O7n7xabnQY/yFCqdPgHM4aFBtRy04rJoBlNJqOxYX1d6tCrc8m6P55ZWk8QRFnFMzci+TxOL9+yMMPvjiK6SqmuVCMjRZTPm7L5ZMm3v19JySx9/rQ5OZ3dqLbMgq3IXH+oNH2eve0LJ48vnTtu3R9HZYqGdWK2XFoWN9BXUaPDMULo/LUHOfml08b0bKbrNoivp6q0vAE1xppbdFTp1NE5q79M+Gu35wt3Mus+fnvswrkzVy6bM3bkQAchnpxwe/zIgSK2/sLxHcjQgHpmAAArsv4qwrQ7B/h2Hk4+Ha0dSMt53B7ntRmuI53WaRJSZttIt4m5+P6zqdmoh53qzPz362l/269b6JnLCWRVde/VRXr60jPrLncfi7sdn7xm0dSnN/bp6FH9988nM0ukcYlZsagNw47nptHqq7ar1NSb92xv3LWVKWjdO5a+MUJ2O0F6MOmg3rmeKXpi453wAM8X/ZZGpSybO27Jmt1rFk17vsdw0+087P78GsOb8WlxCZkvmmLfwlRq6ncb23w47YUlEqyFTjPX1S1RX4lKr1IRyswtPnHmzuw3ByMG+vfsnTVXEj+eOcjbnfzemgCA5mDlBKskJ14uzW4XM9e6YbSwvOQLVp/G9FIj9JUB2j/c/QWnEzQ6+xEYVlqYejW/UOBaZyGGbh1Ibpvj5aYqKWXa/9cRhaDZuHrWdduXzWJ6ujt5Pjvne9cRt7QsbveOpbPfTGOzHo9aRYV6JGQlPyq/ZRaEUcvOe+K3CZwp11JL+UMIlgdecUegv8uj69q1qaf2gUjIe29K/29/Pvjlx6Mb/zhrs/+4S1hQpbPDM8NXCSk5Jy7GL50zjtxrNc6eo65xicJ3J2W6OTfXGF6jqTUUtgVNsjdsPvHd54/rtw3t235Aj/A/d50vLC7/9L3hLVb2AgDQaNZMsFSVkuQr23q+scaKMVhFbtK5rmO+tnYULyVCI2HJrpiV2f5BjDO57lq/8ZSyy32d7+RQIrceT/3irc51HIthGJvFkCnUAh676ZGUljMeZvBVmhKEUGpOhaSkMim9KLyNfYNOYjJhJy44rv4yQSyqWRR+5rDA+49upOae9gzgdmgbhBAiCOLczSOSMm2HCIG/l6OF/VUCfFw6hPv+ues8uR2C4xKFKz578PSW5LT8XUeufvNpa6nVlJAi+P7zRGtHUTujCa+3iNqZywl9u4U+vSqWTqO+P6V/YXHF2t+Pujjazhzf+/lqZwCA1qNZ5mAplf/11tDrdTodQRASiUStVldUVEilUpPJhBAym4w3Di/vOnZ50/ulvFyMeg2NwWmm9jivOLPJrnhTF6eHiOd7rKif1mEcQoiavxPh9DF9vQyqwqq2BIXFFQpl7YMW44Z0PnjyVqOvf/mW3cKVIUvXBS1aHbx1v8fct1O93FQIIRGfcj0uNcDdZlQv33pPYjQajcbH5Rik5YyosIrnsyuEEIZh4QHO4/oHdGjrWr2lbyfPKYMD2ng7WZhdVenfPcxgNJ6/9qD+XS2TkcN1dnimk3FaluT3HWe/njehQYE1H2kZQ62x/vyHF9m2371P15I6dtAbjCcvxg/uXUujemcH4ZI5Y0PauM396u9b99KbLUYAQFOR/x5UXl4+ffr0I0eO/Pbbb4WFhQ4ODi4uLnfv3vX19S0qKlKpVEuWLCEIIi/lfMfRP9DoJIwlvFzS7hz0jhxq7SheTkWnOMbsazld9e6P1wewJf94ezlQqVQBlz33zZiqT/d7aRXHT5zkCUTuHj4d2zpHBD5JR/y8nP7afb7R1z96zqnWQRGRkL/gvQH1Hm4ym7cdS7174yKNyR46sFuHEKcHj+wDWqTI+HuT+y9avcvNSeTn5dT0s23e47F49pNuyunZRT9vObn6y6nNMdOrcSgUgiBQfJJNayjQ8DSCQBu3+tjZ6juEl9ex2w9/Hn93Uv86dugU6d8xwm//iZt7jl77eMYg6AANQCtEfoK1bt26oKCgqvGqvn37urq6Ojg4PHr0qLi4mEql0ul0DMNMJpODZzuu0IX0q7d+pfmJgV3esHYULyGC0CWtlQZOOAbdEgAAIABJREFU0rrOqN5mRymM6fJ4FjmP+zhZHxTt3bv9WyqNJk8iP3czs7hMFtMtsPoQN2e7RrfNodNqtuy1nNlM5BaWJaWkzZgyUqc3xSUXxSXYX7/ts2fj9Uafs0GWzhk3/5tti2ePseE3dXUFhUJUPxUZOcUbt55a/eVUam0NXqyFxTRhGBLb1tONu4VduCY+dMpl2tjsyJC60r6cAimFgvt715MKYxg2ZlCnQb0ift5yykyYZ80czGTUUmUXAGAt5H/jjImJUSqVarWawWDExsa6u7uz2eyoqCi1Wi0Wi+3t7RFCVCqVyW3R7hmthFpewhE4WjuKl5NJQ6GxNC7Tn96mUut+3HY9p6BmvQMmky4SCsKD3D6ZEf10doUQGj+0y95jjcxpmlIQ/MDpe79sOS604UUEOHQKdf7fhMhP3uQs+jh5zrLwgqKWmLBMoeCLZ49ZvGZ302tVVN8GTMuS/Lzl5PdfTG5V2RVCaP53lJheSa5ONUtIWEulnPbJ16EKFW390nt1Z1cIofV/HPtgav0DolXYLMb894a9Mbzb8h/3bTtwqcmRAgBIQ/4IVpcuXbp06YIQmjNnjtFopFAoCKFevXr16tWL9Gu1OoQZITPCXvisPryxy7/D2JaM6NVBYVLa/VBjxl6peCbX/M+uw1ePX7i/dFYtnZKfJxLypGWNaZtz/Lxjp4i6buvUbczAiABfF0nZM1OXeJzUj6Znr/+zx6qFtTfLS0wvvXK/lEk1dgy2C/J1NBhNtXYCtpANn/PxjEFf/bDvq0/GN/okShW1agXco4zCTTvOrGxl2dWVuOwgb7ubdwQr5ikQahUzEDJzOT/+5bt0bnLdBdyrHDhxs3/3sIaORbk5i5bPn3j+2oM5y/5+c0LvkDbWaU8EAHha886ZoFJb7zxT0hEmLSP+TZ+yFdziXS/aR1Up4Qpf2LsN1AXDMZ53jW1Mxc33B4ventibMOnNZks7Ike29b77ILOh179+VzQqpqChRz0txNe+X8cnn3xyheqP/Te//z09r5CVkCKo9RBpmSJV3z6J++mWu14/7bj5xaoDxdJa+tJYztfTsV+30D92nmv0Ga7ctusUWZaUmvfn7nMrv5jSqrIrhJCro+C7n/frjXSVqlUMX+VLWD/97bv6ywRLsiulSnsjPrXRlUR6dwlZtXDKtbjUJWt3l1XU0sy7avmRXq9HCOl0uuzs7Hv37mVl1SxmBgAgxWuUADUTwmzApZf4iguVrh8acNuC7EehofhNfSVGt6mxJ7THIZ2AyBHZOqvUmiH9Oli+ZH1o3/bfbzwUGVIzXatbXZUhG+XI+UftwwIGdnGnUm//ss2ntILRu0vNlWUdQxyTHx5QFd4ssX+/OP1saFiYg7ip7RS7dQjMyis5fv7uoNoWqdXr0k27UTH/7jx847sFk1thmQBPF+GKBZMS35JfuUsdG2PlYI6dd7pyS/Td54lUqkUvnlW/HZ41c3BTrkilUt55o2+FTLVpxxk6jUpQnsy327lzp0Qi0Wq1Op3us88+27p1a2pq6vDhw2k0mLkFQLNoLat+XmIV8cKSvyb3dRSW7Rfb2UweHtW7vROvdP/zO6bd3u/bbkTLB/gKUyoUn6069OvOy1mF2vr3/g+TQdMbjA2aimQ0GjF8j8FgbHiMLzR5eOSoPv5sFpNOM8+amXbwpLPJVDNf4XBYH07rP2ucX3f6X1RzuZCk4v9TR/e4dT/9waPchh4oV9Iq5ff+PXvr63kTWmF2VeW3XVq5TB/TzWodchJSBItWBy9aHYxjxLcLHli4NuL2/XRPV3sXx5pNKhtBKOB89v6IAT3Cr915WFW7BCF0+PDh4uLigoKCvn37lpaWjhgxAsfx5ORkubwl1rEC8BqCBKvxzFopvegwp3Brp6hwLw9Hs/xhmQJLztHYCQXunCJk1j+9M0GYjUYdjcm1VrSvHrM6n07Rvzk2etXn48YNaNOgYwf0CDtzufZpTzXkFVYev5S+Ykeu2inyh10PNh7I3HHiYaWc/H5wfaNL7iU/M+ppNJnyC0vO3Uhn0GnDe/ku/nDIw7S8M9dfeHPzRoLkSrylNzEXzxr7x85z0rKGfbh+ubLQhn922dzxraTe1fM0Wt3m3eJRo3NwihUiJAi0ZpP/zXjbxbNTvp6XFNOryMIDjUbT9oOXp4/tSWIwQX6u3ToEVf9Lde/encPh0On02NhYsVjs6OhYtaBbKpWSeFEAQDW4RdgYhNnAKjmkVUh9uckpGiXCqQihBTO7LF5/VGwTiRCKbit8FHfFJH5SOxva45DOpXLzh5ODny51bbl62+Zk5JY6iDhn7xTFSVzU/CmYhwtCqAgNQwgho7r05LqPxzUspatXpZzm5/VM3nbscvr1LJFJ0Ovh3mPvjw7BKficmb2+Xr+vZ3t3Gq2W/7kFpapbmSxnUZm3e/1LdHEc+3rehAXfbV+7eJqFz+Hh07fTsukntg608BFZxYZ/FJ3asz6ZHNTylyYItGRt8LB+he1DGzxP7sfNJ96d3L9Z09YPPvjAaDRSqdSqPxFCq1atar7LAQBgBKsxCG2prf6WBz25X7fAAd2CnEVMhBCdTvvkzV7Rke4IIXtbFr3i8tOH5Cadcw98DdZRthSq7HaoN7dx2RV6qm1Orb/dtC9+69nKlYdNceURGqc3MM6zBduo7FKzu1yhatyln1dSyliyNigrjxPk98x4UrZEq7cfQGAUvfFxaQS93jBmSJe7STmZ2QUZ2QWP0vMLJNLqe0DDunuJGdKU7BdWATAYTTuP3a/+kcdlzX9v+LJ1ey0J8vcdZyvlqsiQSQZj633TyMmX7j7kPu/NxqwSbbpVv7YZ2rcx2VValgQhFOjb7HUBq/Kq12rtEQBWBP/TGgNnOxXYz/coXX37oZzDolXIlLkSuruTQCx6fIuHz/0/e2cdGMXVtfE7s67Z3exmIxt3V2IEd4pD0QKlQkv7tqVAKRRooaXF2tKW+ou08OGuxZ0YEYi720bWXWa+PzZvgBDZjUPn919m7tx7k+wmZ88953loJDLN1MWElyQzavbiANVkj4PqFQCgEIHx/LSoXoGqhTDDuQOhBwwTOHl+iboORDl2eQaTbU6bhzJGHF3pvqaDZ5XscZcf/Dp7fECXVwcAGIzGnw7co1AZr47x2LSiDUnMt6d5J2edYNIIob6BptxGVlHTkQspqM9qRF4CUARSVRJZAhd82rsz/SAIIuBxqxaGdLBiQ6M4tcRo+7BsxCAX0xUXAW/S6PBf/r78/uKO8lLf/nEuwNtp/PCQ05fFWfnMgSaPbqK2UfbJdzZDBgtdBG28uXqbwlI6k6EfFGxxdIUg6K6//vluw+Le2BUGBkY/MnA/jA5wILJNuc36B8j7V2SLjlVN++9d2u7TOaZcQsKj6p8OJkg4M0wjOap7Nlaon6cTXvrYofqLCMMuft1PQCdFlK27o3nV386wP8Wu+rGvv5kXDoOKbigeHd0tsR9PV7v84rYrllBNI6JptzAF1csRdV1Kk19RmbkVNm2Cx+HYLOuSCtHthzVtDqBSyMMHuYb5CVpOjgYF2H+wcJij9oIHPvEVz6LFQ402SHqxNjA506zSK3tbrpsdKSX3mSAgNtybz2Odv57S5iNGI7Ju++HYCO/xw0MAAEVlrV0IBw5nbwmrxb6r3+jJRgTz2X3Edcnssi48+MfBa4tnDe+OvBkGBsbABAuwug5EZEJEJkyxwTE91bZzi+Bxf5zKlSpUtmx8LRwJ6G6oTozqFfYsTUlFvZsN4Khufjw/cN54T3c7mFS1bzzrqEkxCy9JAupKAACLSY0Ld/W00aK6/jnjeFGgCo++O9XJ3ZlvzmClUv3R+t+OXS9+/pbJNqfVRYVSXSsGMJnX3oScqu+tG/5GKYJyYetQQyxV7r+QU1jeVFDW9PXu5MraToRJl0wLXLU4IsDdAuUFFwd2jA852Js3Oto1xM/p47m+NnBRQp65Qc+7030/nNNaK2TWxOjMvIqM3PJW15Uq7Yov/148a3hsuDcAoKqWYjBCfO5ADLDkCtU/96PGRN2y53dXxqILVNdRHGzVJKLFTkplVQ1KlSY80DLFEAwMjBcC7CiqhzAoIV1jrZKakiWkkSGUxKfX/sXWptapWVHjbUR1bJ61Foaaa2UCXZnxD5NGLnqlqK7EUHd8hGvFowKxAceKCqUBAJhUGIjqYHkOtf6EhuJjcHm7X7+xgQisb2IwzD0c/L9zqQiEz66CESMCP+tGPGdy7N8n7qx4e9LTF3NLmiBOR0qPCs5kSFnih7/mZNfaLS4lV/gYmVVx/7pWXq1Wqf7v/GM+l/3GjI6O7fg8Nr/dWK41BoNBpdYGetrsO/XwRkLJ7LEedx+J1LCbDGdz+MrjGcNdSKROtAlgHEzCNY+RKVQARZkMGgBg7fvT12w9yOex+NxmydPaevHXu059sfxVnjXTdCUj12p49EDpOEtK5xSV0aeNq6morbqfVlmvZgoN8x0dkgAwK+zuWU5cErz6SpWlT6EoumvfpS1rFvTGljAwMPodLMCyHNRArfhDQ/E2UL0AjIep9gAAeuH6pdO97fkuAAC5QnXy2v+NGhUyyD+mul5+/mriq6/EPC1v4+XG10pKIQgaF8lDDI2eLs6jIp1b7o6KdjUmnNUqxWl0Lz1/1gDthu9XCAQiDoYBAA8eV/k6sTkdykO9My+uuMz154P3/z4jnDjU+2mhTms2o77xmWShwWg88c9DY+TfHUyoZ4YKFKeXTAl+/lZciMPDo8ebrBdbwf8sHKMTivV86570GawWinf8ejw0LGrKCO8D15uOJRGUpWkovhgOXJ8CxZQd3z3EnxAXalboKVeovvzlKsVh6LQwWbifHQRBGz+evWrz/m/XL6KQiVn5FXuP3tr+2WtUCqnlES5HV17d/+YzShX+610+oQGSIF/pF9/7GSCERizSe4yCYIhieQ6pR6gVku35FgvH7z58Y/60IcS2GkIxMDBeAnAbN27s+1VTU1OLhYAlCO/7pbsPqpdH0G4Pc611wGVbqZOpsvtoY4IC5RWWCbPyKiICHNQarUprfGWoBx6P41hRz159OH18VKtJZGp8kI8Dh0m2ZrUODnAw7OXMPnG7VuH8MYQfcLpZlbm3+11vQqfTwqKkM3drU1JSR8f5dfovisNiDg51TcqqO3+vDAaou9OTYFcsU2p1ejub5qgLQdHM/Fo5MQAitX/SBEFOID7Em/v8HQIeH+3PgUTxOK1wVKy3sz3Lmt2Tv0EWkzYsOoBIxP197A4Jp5GxxiEe/6ERtSRZio43Vm01uLCOkPUogYbXs5hkPK6jsh4SkeDsYF1XV33vfsLoIYEwBBHwuLAA180/nQQAXL796JtP5xOJz/xgd+72fG9RMR7Xw4r25rBzt+f5a/YSGeHaPdvz1+2Wv1UUFSLic7VjhwprG2W3EhwzHocaUMLQgAR/jzZ+L71KcTldIiOGB1pW3l5SIUzPKpv1SnQv7cpE0uNyCsshOLiNDwMYGBi9DRZgWQyEI9c3SXPrGXUijZcDPHuMx7BgjhdfUy/RB3rZCGzoZBIxwLP5nCKnsApB0CBf51aTBHh34khowyaVZFzXsob2yvfQDfo5wDJqcaL7RmZI0cOjrgLuoumRbCuzciokEtHTiQUB48goN8JTberuzrZ7j94aHtNclgTDcKAnPzm73sDoqEOQr7sT4tX2wR4OB3s4sUN82/79Nomluw4mN4i1EKIurZZIlUYemwIAUKk1eoOhTXWrVhCJBDse08vNTqQmaxUiLTNKRw/QkwSAaA0AQCn2cvrQjEo4MTk9yIXwdP7pebhsWlSArRGQXRxYpmiMQaPcScy5nZD9y+a3WmkyHTztFOAt83Fvw+Gut9n+m3dsRNOimRV6PRwdJpo+voZOe1LJHupLmj8Vr9X+86ggNsw3McSrrwOsH/Z4Ll1QalEBFoKgX/5wfMNHs3C43q2CxQIsDIx+BMtOdwUdfwoAQAPAtYactMMXJ0bQA714Sxza+I974mJiqxIfM3G0oaLEHjDNeNmQZcOFP5Eotu8vjHSwM7t2CQAAAIfFmDYqsNXFFtucFtPimgaphuTTwTyoTkandPGNw2ExOVxektDtnsQDB+lYsutOfAqdRrlwr6yqXrXiNXPNAZ3srRfZW6dlFJzKPqGxX4DSPZ/cgyCUE6mgex+/+eO7MzvX25w4rFkx1WAwbt51csyQILFUeexC/OxJsabrKAq+/MHPy00+fni3uia7AIqCnbu9QgMkseFNAICQ9uUhYBzDhvbotfHufbg7AACoEVKIBIRJ79zI+Wl+3HvxzbmjsMNBDIyXG6yLsFsgTL8G+5UX7rXRoQYAQBBUp9fTaeQuzHzscjZk0Jq6CzFagElMPMvToNc+yGzsqTlb2eakFygQq44+8eOkqYN8mF1bC4Kgt6f5vhYpslH942i8jUflX+w8k1NUZ2tNkVuuXFolxlG0RdSq3dSa/bTq/1Kr9+AbrgGjFgAAEa3EOgs22SSWr/xq/+JZw0fEBsyYEFVe1Zj8qMh0KzPPyttdPm9q370UURQcPuu4Zkvg8o0hcYMaxwwRdvqIryvUVCO/nVLeIOpTZ70f93qsXFpg0SPZBZVEAj7Qp1siIxgYGAMf7CNUd0GUVaHe1jK5UiJTOzk8czxxKyGr5ezJUt6YGZFbUPHftFyY0nUtzZcPhOqBWIU4c/Jmj/XtqTmHRPqu2364xTZHYEvLLvxHbTO9vfE4REY2Q0Fep9Or1BqWVRuilwEeNgEeNjeTiigke0as0/mbGU4OXD7HYnPiKcPcpwwDOp3eYDRSyCwUQavris/cf1BBn4/SPfjUjkINpVJNozUX4Kdnl277NTky9J3bSeK0gjK9Xufm4bntt8cOtlG+HqyCEvrmT7It3Vt3OHFJwLbSb12baf4joyKdFs6q2rBr5Moll2eNfhJZVgnFVUJNdFDrfs+egoBHKGQLXMO1Ov0fB6/98MWSXtoPBgbGwAHLYHUXmO50+7H814N38ipal6dcv5cxIqbrYt/VDepo9kN6vVlOJv8eNOxhrrY92csGQRCNSm6xzYkLcRjuVIITJ7c3nolU2PA6P729n16548+LV+61m94I9uIdOXXlelrD6MG+Alvrd+e07oQwEyKRQKWQIQiSKpRZpZK3pnpaC/eiWgmtnforlVrz7YHMLWeNx64VAwAOn71/4mL6yNjVoX7qxAzi7kPBvx8aufPP8HHDphmN23zca5ctLKFR+1S983GOVReOIz9cyHJ1qLuW5ilVPHFAupMmbJD0mKlRKxLTOIE+liXMtv16dsXbk2EYaw7GwHj5wTJY3QU1qChAPG1UoIfrM5+SVWotjUruThHr6MHeAICzN3MfiOIRTmx3N/riQ278B6etBhB++LAedm2bPSnm1D9JS2Y3m0WOinKWXL+eLMEbWW0UReGBzpw5R0a5jYh03fr7ZYUOmjmquUYqNbM8PLC540GuRp1d3YX1TQKegG/TA/V2v50uE9eX3bgVz3fwsBP/jeO2nRI7d7ey1vZjgCPnFm/auPNYVIjn16tnAFAOAG5ELA4AKQAm6QqcsPHVrb/8+t2GxQD0aUAAd+lNo1Cq6Ty8EJp28sa2N6Y2Z45FcoSA6xXthpQM9vGLgh3rLEizXbuX4eVm5yKwrHYQAwPjBQXLYHURVC836a1DACiMjCuJVXWNz2SwTl9Onjp2UDdXMRiNRZVyI71bnncvDQieZWD4W+EkVEpXyto6wNPVrqDkGb+aUC82pG8t8g4AQPUyO3rnnXQFZaKfDqVU1DRNGROWlp6JouiP++989ev1U1fTW8aIpcrSiprBgdx9Fwpq63vA3c+OxeVz3V+fO+6TN2JXzXGcNcqjzWE6IyA3XWUVrasuerhwxrCWs9Hn4XOtXn91+I4/znZ/b+bz2baAmLA2fvKdIlco1ToaUVsY4fskWlUb6YpnlecNBmjnbs87id2Nco6cc/xuQwYMmyta0SiS37ifOXfK4G6ui4GB8aKABVhdhCPcQy7dZWhKpwkPjomy+2hhjMD2GeWkrPyK7texQhCkMJAhYhdLql8ydKwYLTOGRDACABrFimphT5YzC+ysy6qeyJRfTREbrEc+P4wgujc0tHOtcJFYrJA0HLte6u/Bt2JZrfv+XI1QCuFIeBipETb754T42I+KDUjNrpSowL5Lz5SQP8qrtbTmHUGgR+kTls4ObpEIaY/549wG26TLG4t+2LikU7uhYD8XP0/B4bP3LdpMl3n4mO1or54woivtinZ87msjsgsTxfWNSK2w8W5K6ZUHBSJyRI1I/9fZrLJqEQCgvlEx9FXjsMiiihrqmSudSKV0jKV6YDv+OPvZBzO6syIGBsaLBRZgdREmTrxsEmdpwI2Vk4ljo1rXoQsbpXY94YmmUmkQuCOZ8n8hCpW2rFr8+6G7el1PmuLNnTL41D9JLV/WqxkAfk6oE0UFUJpTW3ocrRDYcSAIVqk1F+8Vhfg6jx8eSqeSFJRgHcT46cjjM7cKs/IrdTr95FGBRLanzvVDImw0Ik9OstLzm777O978zRsM0KYffN9bVNypXgCCoD/uudQoVmz/bGHHKlktTB4d0SiSJ6Ra1isHALh823bd9oD31nXkO/Q0NULKrn0ecyZ3vV1xXKxg08fZ638Mm7Uy6JPvR33526jE2161ikCjTqXSAalCNXMZY/JEUVgQqtbgunYQaWLLLz5DoyxwDdp9+Ma0sZFMek/K+mNgYAxwsBqsLlJFGr//dqKjlc6KoWUyaHqDkYB/8v/4yLkHsyfFdH+V8/fLYbJt9+d5mZBA7j8fS2AQCC6ONj04bSvbHLSttwYqywv36CTe3bHnFoVCc3e0XvHWyD+OpiSm5AE8ecmUwA3vj9txIJNhZ6VDyVlFjemZTZIm4Rtzx48JpZ/KSpXoaP9Z88NH78z1cbcHACye5NfQZG5+RaeHF34U+el7ed6dqYDWN0q/+fnUG3NGPq982zEfLJmwbvthPs/Kzckspz+VGvfXcRcWU//16qxb8bzdh13fmFPW8WkagkDf/Ozzx9Y0i5rynmfKSJ6LIFOqUHs7MSEISs1O+GbfcLENGhtS+fYGGx9f6dq3uYlpHAZNP2VMTefTtUVJBQ0AMHGkuWm2rPwKpVobE+7VteUwMDBeUPonwDIajdUFCY4Rr+PwFremDxCMnBgRiGkyqnPu32QZC8TC4jcne3m6Nf9TrKsXt7ivdJkaoThLGqCzb1cv4F8IUXR7pHs17O4Q3I6QencID3JLyyoJC3AD7RR180T/FzExqONJpCoA4fTX7j+urJNG+PAeqCW1YmODVO8GgJ8Aup1SPzTcOVcqWf/hpN+PJN5ME84b4wbXXsTTbFa+N8fVqTmYhnHw9ZT6ClETBW1SIcwwD2KEH4/Ltmpv0SBfaVhAJ1VcV+8+vpOY882n89tLXOl0+msJJXgCcVys6/N3N66Y/fGmv75ePc+K0UkL5+GzjjmFzMWzyj1cFACAEbENAIBPtwTGhDXNmFDd3lN7jrgsmV3WzejKRJDXk8h7/FAWm31v92ne4k/9Bd5Ub+cbwsZxh886bV+X0cEMHbPvmMv6D3PNHKxUaX87cPWnTW90eTkMDIwXlP4JsHA4HFcQcOfQypDR73PsO1LNHuBAOIre5pUG8ApqLb6c/J2LE5+Ax2XlVwR4d6v66kZyeUm1rE5B1zliejnNIKoqgkEUyUoaHfWMWrdMrjYYDRxWG3JTljJ5dMTWX0+HBbgplGoD/FwUghitmPSn85RtMijQyc/V6mEOJ6uanHXmCplCp5GJV+5mVNc1XLt2k8rzv5OU5+fre/hybr3EoOJN+Hn/nsljIxNSc3ffsPW0zntzWrP2ulxHanL8BBiUAE+71ZB851IxFW4gE/AoosEhymmxbHcna9PI/GIGn9vRaalOb9j+21lPV7uvV8/rYNiFe8V37tyPiW3bnYmAx21aMXvDt0d2fv56B72x5dXU4nL6V6ue0c0aEdswIrbh2j3+6m8CbXlaR3uVm5NSocSnZbEYNAMMo8XldA8XhaV2fmYSFWgXFQiq6yuy8qsPnHLWKF3fX1xskbNNK2AYNf/xL3/sC0scDAyMAUi/HRGSqKwRr61Mv/5LZe6t4FHL+msbPQVEZJdT523+ZdvEEcGXbySvXDq5O7PF56glzushTudqlv8S6DX77JCHjWrq8GGtGyr3nkmrqSwbFBbk7sgJ9bNv5aBnEWQSwWAw6g3Gvy6VKW1WtpoIFaX4OnSeX5k63B0AAFBjQvy51e/P+fNYskqPhyTVwyLiRsd66/V6GIa3/nEN8Vlr4OlhoyzA0z7Uh19ZryrXT4f1+1vmIaJyVCcz9TcY2ZFGdmSLfAJA0X3xhxwe5i2e6EKlkP/vtNM3q7Pa209ecfVPey+tXDql43r2C3cK7j+qY7KscTi0tELoLLB5XqvJms14b9G4rb+eWfe/Ym29Af56l48VQz93SiXbSr/niEujiLT2P3ltLjFmiHDMEKHBAOUUMgtKGUy6/q25pU0SklYLvzGnrLOfa3fR6/TX7xbbWq8yP/nUHihq7mvs2IX40XFBtjxWN1fEwMB4EenPGiwIxoWN/bCmMP72wRVRU9ZSGC+4PIyVP5kXGu7ncP5KfNfscQAAVTVNV5Jr5dYzIRiLrp5ggGnl8CigTfz14IPPlo17+tbrU4NZzMFVtaJL94pSM0uGR7pw2EwYgiEYYjHpli40bljInqO3awgTIfxzB2GcsLTiC8OjzZpHozHiCeSi0ho8UDAIhNmTh3DYjJbgb9KYmJyyc9F+lLI6XWYx7pvdD6ytSDgoZVhc87FyfHpZodga4rTTPQpBGrsFRXr5zye+mzTYjkI24trqaENRdPfhG1K5ateXb3aaQRkZ6ZRWTlZRfJMb9CkyK/q9LAZJyyColDo4zIMcF9owk35fAAAgAElEQVSckfVxdwgPdNt/8s6imcMAAD/u8XhtegWTrj9y3lEsIS6YXmE6FuwAPB4N8pUG+TbHigx6H0mYOjtYuzp+MHZou2eU5gNBZvUP5hRWlVU2tFg6YmBg/Nvo/yJ3e89YrmPgwwvb+a7hHuHT+ns73ULEmPDpt5uHR3h2PhQAAACKoum5NSkFSrGGqjEQyTiNFOeu5cyHCD1w4PUyobGdjSI6rvrxuzNaWw+ZoiiBHWfp7MjkzJozd0r1GplSodBo9ZtXzaSQzWqUa8HV0Wbtz4nRbz6XgNSKiI1Xo/y5bT3UBu7OHG8vr9P/xBu0KjKF5OMx6enU2pBQuyGhdgCAYF+QXZKscvlQQRJQqvYIbJvn93JiwXmdvAYMCKOEsfH8gx/bPK6qa5Bs/eX0rFdi4gaZdQRPJpEa8y99+DahqLzhanmARPCGFNfc8iZJ29ASYAEAxg8P+e3A1VvxWTHhwQoV3hRRfbikyJxV+hEIgmrraR4uZd2fSqHEa3Vwx6eECqXmtwNXMEscDIx/M/0fYAEAiGTG4FlflaRfuHdsbdTktUTKiyr7hDJ97pfZ0GxtvMsavVw6+WdcVSc+cqNOSBuPssNNehmmHjDMRKNN2DU/vzvdnc3sqIkvMtA+MrC5z+DivZLdxxI+WDTc/CVkcs2lu/mAE65VSUnU5opyQv7XiFZszYDmj3MT2JmrIE+lkN+dG3XuFvvGzRtb1r0Jt5NAOn8rW61S4kr38um6UD9H4v8sDrNKJJCmo5bAR9eBRgEYaFql1OPPLeWt7h459yCvuHrLmgUUstlNJCg6f85EDxc7ez5bJLqXVS3WOb1jugNTuCq1hkohi6XE9GxWTR3Zlrfk2r3vG0UeUSEic+cfADDphj1HXF9/tazNhJ/5LFtYsu+Yy7uvlXQw5ssfj6/7YCZWeoWB8W9mQARYJtxCJ9l5RCee3ezkP9olcGx/b6cr6HUqApWjcl1xMPFATFXxmFjXFrGdm8lVd/MQFCIS8LARQYkEoEAdtA5vAgj7E9w5eNHdKHeIbWWBJNgrQ9y2ZGZmFdUHeJir5vDrkcR6ymjvGP/ClFMBQ/+Xe+CPImhrZZLHNKrFx74aA6Cz7EhEAgDgXkqZUoOMjnHG43AGg+HXg3f9vN0YVNiaqqnROwV7gZGDnqipZRaLEIInKkqD2EEAav0mVYiB0QCipwFg8LatOeNg+6SxUdgo3fH72YkjwyxVDD9x+dGjYnnCo6rKkmwQ+CXkEAQBoJKBxDOAJucVpPAdbR2s2bqwAHFsRFN9I8lg2LR519ajv0x6gbT0Pnk3PzGNs++Yy1vzSrszj4eL4rcDbgolnk5r+3zzj4PXJo+OwEqvMDD+5QygAAsAQGFwh87dXvLo4u2DH0dP3UCm94BBW19SlHLaI2wqAEBpt/C6pDDt0FlnthpC9aXVTUZmgML5ha/l7xdQRO+G3h4T7WfpgzERgfuOXPX3C1gyPbjT4ncURQ00H9hhGhuArLt7W67rWdF6AHj6PEsrujRa3ePMXBKVozcYRWLZP1fvyhTKeunwRa/4KjW68YM9/ntVySNUq/QUmiFHLrPLK6nzcWuWafhgbphcriytvpOQc6lMH6jnTwFP7b8gGfiaCnvwNBEhsKK6ycnBGgBw4lJielbpF8tfZVguaDlrfAgjvphKwhkRYNAlKOtLcYicizQ+1MyaPjF/6asEOu1Ji5+bkzI6TLT+ozEbvz+w/bPX8J11Vg4cosNE/9zuAWG5T5flr/4m8PvPM8ik1n0PyY+K9HrjkEjf7q+CgYHxQjOwAiwTbiGv2HlEJ1/Y5uAd5x7arXa8PqaxKss3dkHzFwxPEWNVk0EFUAPkzQDd6G77l0Noujs6sisNEMMj3Wx5zEaRtNORGo3u0KVMGaVZcozBEcgay5hcl5YBVDJsZn/izwfujIoL8HW1JhEJIwe5XLxboNFoa+olGgNED1meU56050SiTqOpqKzG05y0MF7ttBRXeSxd7H/7onjVTJ2jffOhHoNBC/KhBfmAlMyiozk3CypHKaXALQQwuUCjBFQmAIgOkRYCgwqHh6rrRN/9eX7KmIiOhRg6AMbBE4Z4AgCGRboBAGQKFR5HoZA9pMJr8clDowPh2PDW/oBMOuU/r4//5ufTny+f1bVF+wUUhYxGqJunhDZc7Zr38ldtDlr/Ya4t74lGRn2j9Oj5B9+uX9TtbWJgYLzwDND0PoVuPXTuNhjG39z/gULcA40/fYBSUkuzav3hGMJTIQITi666DmK01sa7OTUHWDeSyjOLGs1/2seVGxfu3mlsdCWpqggag3AiTV96R80pSD7ZchfVy+ytOqpoRlFUplBdu5/78HFxZWX53bRqAAAEQfnVejKdK1Oozt3MQwxqfeEBgrqEQaPMmhBuoLpAOrGWNdRAFGic31FyJzuz5D//Hf7HQTeF8snHHrGUmFc4JPsKw9F4wNOnvDgNJJ4BiBHgpcle4i2vuf/zWrT8TkLO7sM3vlw5Z3hM6w6ALsOkU6kUMgRBW1banPhVfO6qvUjSRjmXmxN/RKz/7sM3emrdPmB0nPDKHbP06DvGyUG1/bOM9Tv8hY3NZ8cGg/GL74998fHs7miFYGBgvDQMxAxWC67BEwTeQx5e+taK5+Ift3iAhyn5Sce8o2b39y5eNnBNd2YMbhYvuJ5UcTVFMnt46//0MoWquFIU6ivo2hIoihbX6HT2T6ydKQyuWv7EaQ7CkRXKjtQEFArV5p9OKhUyFDHiCfiqkly1xptCJhFQuZ4ReO6+UKnWcGwEE4YF+HvyyUQiDEN8ulqjIaqbkq2EZ+VGKzrLbukcFzots6iM/uNeT40WZtANMIQ2iYmvv1o+KAR4OpMOXvyvdUh0E3HS3aOAJE19fY5XUbnw9wOXlsweMX9aXNe+dzP5YEnRkXOO7y0qfv7WkEjforK6a/cyxgzpRON+gDAksvHjTcHmG910AJVi/GnTo+2/e0MASGQEtWbzqncmY4aDGBgYJnAbN27s+1VTU1OLhYAlCO90JA5PdPQdjhh0yRe3MzgCqlUPfPTsJYrSzr7oMhPmUJl729F3eJ8tR2u6MDmWZ+rGKq9pLGhkE4xNT3uhAAC27k2USJURAV0MsKpqm+4k5SC2k5+O4LUqiUGnprPtAQAAwqkbcga5wy1dfq0gkYhBPo5xkX4JafmbVi0cPzzENLJJCTXJgFyle3eGr0ILj4/zIuDxpvRGbJibwI4d6skhEEkkEmXpNHc6jQIA4LB0Q6MaR8Y2DAoS+3rKp4yp5XJ0XLYOgqFgb1saWiksfyADgRCZcPnsjyqVZt0HMxxse71UkUk33LjPj4tsO3cY6u+6/+RtG2srG+t2zXwGDhAEEAQyacd3fzYCAR0e0zA8pkEiO1VcEVBUNup2og2ZhJBJCI3aA7Y/3STpcTmF5RAcHNzfG8HA+DcyQI8IW2HrHjliwc7qgvuJZ77Sa3rgz2KP01SdzRUE9vcuXjZQWWGUq5JAwAMAUBRNy66lGcsmDnFpNSwyyKm6prZG2BWjFZlcac2mM62dwbPqkW6hk4rTzz8ZZjPv11MFdU3tSifwbTip+Y3uPuFsFgNA0J9H4/UG49hoFwrahJAdEBQ/f2LgnZTyqtoniTE3R2udTnUnMddNQDVFV09DJCJcjrbVxagAu9WzbXVlG+Ov7RY4+/3n9fF9VmCu0XX0t+KL5bP/PHi9oUnWN5vpJhNH1t1JNFfSzBzSs0ur60T/3Wa7+ZPsdR/kNkmIR887fvG935otgWu3Bvx5yK0H18LAwHhRGNBHhE8DwbjgUcuUktrEs5t5ziE+UXMG1IlhQfKJiAkr+3sXLwOoTkYp+1Hl9C5M5hHVeWIgRVEUgqD95/OkMvm6ZaNJz6WRJsQ6B7oyaxo19nwAANi++yaN48K3QmeNcm9jgWdJzxWeu5EGBW1u9WEDTyAjiAEx6mEcAQAAEVlCwcbjt7Z+MMu7vakq6zXezhwAwIP0ipq6BjwOBgCgAFLQYpIyDzZJOPeTMho9nAV2Twr2s8uUI4cOGjHI2fTl/fSqxCzxe7M8qZS2JSEKS2t/O3CVCA39brnDiEF9ms1FOywKh2Fo8ydz12w9uPOL14mEF+CvCh6PomjP/AkRNkr/Pn575xevm74kEZFJo2qfHnDsguB2Am94TEMbD2NgYLy8vBgZrBZoLLshc7aybNzvHFndUPG4v7fTDIoiRqOeQLbYmAWjFSiiQxIWwdo6qvAEkBciRiQ9q+TMjdw9Z7KzoalsnsPz0ZUJgR07wt8OAIAYERyBXKVxzi0sU6o6skA2MSzSjcVzBzSX52+5BI4rz7r25GsYJ9N1pGxkw6bcScpFELS2QW5j62A6Cnxnmpuj8siDlOKj5xMQiHo/IQ19KlSZNcZ3wmAXk+ufSq25k22sNwoy8550dZRXi385nnfyRqFEqvj6pwvbf8t6e/5Sf4+pE4Y4ks0XEe0J5IpOvJsYdMon7079/NujfbOfbqLVwT0SXekNxi0/n/p69fwOCttffaXq4k27a/cGbnkDBgZGb/CCBVgmbN0GDZ2ztbY4+f6J9U8XI/cXFTk3nXxH9PcuXgYgmEgO+HhQoGDdbKYxZfn8kOJNyyenZpZWCuXehhPRAdadzgDj4JWLY9+MbeTScWZKg/JZKGpQP39d4BVXXfDg6StK2C6/pN3i6NFRAoNeLWwUZWTlLZzYLIPEoFM/nh/It+HGRQVueG8Uk0nT69uol68SSnYerxDZLjU6LbyUa73tcNm+8/n/90/Bvnv4Eu7a3feYE987/KhwxILp85Mf2S6d3y2dzC5QXE4P9pN0OsxFwJsyNuLX/Vf6YEvdYfdh1wnDe6DIHQDw5Q/HVy6dQqN25MgEQWDb2kyZHI+dFWJg/Kt4AZL5bQLBuKARb2tVkvRrP8MwPmz8cjyhi/7K3aci+0bcrM39tfrLg6aR1HiOAPQIipJJxLdem+DvYQsAeH/hECqJYMWwoDnLzcmmoOCsXh9H6PC4qrBCdO9hcak+vG3zRwgiEKlP2+bo7KbtTzoyTVU7KMCu1VitVlddJ2EzyLY8Dp7M2Hf64YdPufQMCnLUarQAgNXvTGpVKV9b3ySRyk/FG8QuayAAAwCUDm8pAahHdBCir2m6XnJ23OAwz/CFQ8O9Vd6u/fNxgsXUSeVmuY/HhnuXlAvPX0+ZPDqit3fVZUorad0Uczexa98/Y4YEOdqbEffD6MyJ1b/ud0/NZIcHdqVYEAMD44XjhcxgtUCisqKnrveKnPXgxPr8xKOd1In0DnqtkkCkQvALI2Y9YCELTzBVKTJadGq+xGBETNEVAMCOy7QougIAwDD09qIpnQ7T6/T5mkF6+3bFNbyiXi1MOfX0xFr7+RcyyPWNrcVLd+67kV+h0BnQzT+dUitlNTXCHXvvGozNfWRjot0mDfcFAND+V8yeU9JQXNHU0CT5+R/DnseRIsflrd6MkvryO0fW0qt339q35LtPRs0f7+3t2hW11R7Bmq2rbzTXNvu1GUOz8isz8yp6dUtdxmCAOvZpNpMLN1JZVrShURYYDMyfVnErvt9+iRgYGH3Mi5rBehoW32PYvG9ri5PuHPnENXiik9/Izp/pOYpSz/wb1Bn6AI3zuxpE41r35dLXQwjdbo7z8+jcEcXPgx9TWfKw/qLW5pU2B7BtvbLu7mt1UWG3+Itdf80exxsR25xPysivdXW0mTHaZ8ZoH4PBkF1YixiBRKUTNkjb01CQyVWpmWVNRkeN4wcQjvJ0/Y5a3ph1dy+MI8ZOWzuStp9CNjey6VXIJKRJTLRm68wZvOa9aWu2Hlzx9mQ+d8AJN6g07XoIms+j7LKs/Mo171n2xieTkMJSemklzdVR2c0NYGBgDHxe7AzW09i5Rw2b961OLbt9cIWwLK3P1m2syuI6YgIN3QbRwQ03KcKTMqkYxvVdOnBEuA1kbKMAqwUGx1HWWPb0FQgm2jtVKtX4FV8GHz7ruPKroEOnZVNHNb8G8Hh8sK9jaIDjiEj3NqMrFEX/uVeUXyYuRWJkzp9AuCfJOa1KmnxhW8atP4NGvDM42F4g2RsbNFASHm5OykaRuaEeBEEbP5695edTWp2+V3fVBXQ6mETslkJVbb14/8k7q9+daumDZJLxuw0ZO373ahF/x8DAeIl5eQIsEx7h04bN/1ZaX3L74McNlRm9vZxKKqSz7Ht7lZceVC9nln/3TkTWmikoDOM2/3JJq+0kU4IgPSPSQadTYWNHNTE+0XOfts0xoWTGBPtmfv/540Af6TsLSt9f5GpRT196dulj3BvAeX6LToBep3p847eUS9/6DV4YNXk1ASh5+PJPFnjzOExLv6PewGiEsvKZnq4WSNBRyMTVy6Z9tu0Q2h8H9x1w4brd4IjWvormo1JrN/90cvMnc029n5ZCpxm+XZ/x9S6fw2cddfrO//zeTq368WT576cK4tMrBtpPEgMDo2NetgALAABBsFfkrCFzttUUxt87tlYiLOq9tXITDntFvdp78/8bwEnT/BTfL5/l4O5iT6OS17w9bGhUwJ2HJR0/tX5Hz/ju4WCYAHWUZSHTOc93quo5w+OzRACAAG+Zl5u8xaG5U1AUPXktS0sLgBnNDWUGvebR9V8Tz3zlGjxh8Kyv6Gx7RJztItwU4mJWUXkfoFLj3l8fOnNiNQxb9g/ens9eMH3Ij3sv9dLGusDPf3kwGfoQ/847ItvEaEQ+23boi+WvUildP7c1Gez4eshXfhVUUkHrYGR6Xu31Eo9K7soi689OF0fEP6rq8qIYGBh9z8tQg9UmODwxeOS7RoMu5/7+R9d/CR61jG3r1eOrqGTC5w2eMSyCo7j+xjw/BEVVas29tGo8gTAq2rXjR1Iz2YE+UgCATK6GYMB4Tgbdsg2QRBJEB8HtBkl81whhaSrf9YmzE4SnyuRdSWCcvJaXKB+D2odBAJhenE3V2UEj3+XYPdEvhTnBMoVHdKBNB/P0DTo9bDRCaVnsGROqu9b7FhbgVlbZcOxC/OxJsT2+vS4gbCT95/Wuf+L66qcTyxaOs+mJwrIQf8n3n2es/jpw4czysIA2Ar6Ex7WX8uw0tpNMX6K8obdy0iXy4nGDXfB9eIaOgYHRZV7aAMsEDk8MHP6WQa/JurM36+4+/7hFHHvfnpocs8fpCRBFfc43B2EEJstKbsYNjojz68TDBEGg/Secv//8MQAgo0DYJDNMHeHR5eXVGq2wqhQiFQNGuy8M97Apyee3Ph1gAQC0RouzvxkFtSnSCGATZ9Aqs27uUkpqA4a9ETj8redHiqmDq2sfurk4WDR/XnGNRmvkWlsJ+N09WMwtYu454sKkG2AYlSnwK94u7PJUMyZE7fj9XPKjosiQrv+aegoIAl0WcP9hz8UxQ4K83XusJICAR3asyzh63vHYeUcAAIKCGeOro8NEprvlQrma+8bT4yWCj24qKzMPHZg1zNrDqXNtCAwMjP7lJQ+wTOAJ5JDR7xkNuoKkY5l39nhFvmrnHtX9aTF7nG6Ckz6iye8z+W4kslFt0IpRJMrfxprdSXrghz2eb84txeFQAACLDueUqW7F84bHNHTtvyYehwPcmA6iKwAADk80GnUttjkmhHrn+kap+cmMi/fLEmucVMzBuTd/l9aXBg5/i23r+fwwVCuiiq5yQYG9rcXhyIFr9WruJLb04qoFPt3sPdxzxGXb2kzTD7n7rHpn8upv/k9gZ23PZ/fIhF2GTjWo1Hga1eIuwmMX4p0deIMjfHp2P3g8umB6s56FTEE4c8U+p5D5xpwyAAAMAQBav6YhqmOj02cHb//w0TQFi4lZR2BgDGj+FQGWCRye6Dv4Ne/ouflJRwuSj7sEjXf2H93l2VAUMRp0mD1ON0DsVefmjrWD8c48Ng0AoDcIOlVn0BtgsZQQ5NssQ/WoUK4zIGoNbsfv3quX5XdhEwQCnkVoUnU2zDVofFnGFbfQSS1XVPwZJ+9sXzbTrACrSSy9nEFKL8wHID9w+Fs01jM6paimnihN1uF4Vpo0b5543AQ7lpUF6komHhfUITZjIKqrHdDj4G7VVhaX050dVD0VXQEAIAj6atXclV/9vf2zhR2Lnvc2NKqhvonkamGAdTM+SyxVvrNgTC/tygSTrl80s3zNlkAURU/fKi2spwIBtc2RMsG7f13avnyuxS8SDAyMvuRfFGCZgHF439gFvrELqgvu3z+xnmPn7RM99+nMhJlU5NzsY8GtLoCqayCyDdDJAKltNab+ApUVEOrOldc+3Jpn/OCNqaYAyxztKwIeEUuJWh1s0ooMcqcdOXP//dnBFLLx403Bi2aVh1pevxzsjK8R5oAOYxoHz8H3j697OsACRm1lo/7wpcdZ+bV+Xk5uDjSpwshmUaKeE3nfcyLxwPkMIyc6ZMzHZNr/UjgoSmi8yjQUsIhqB2skKpQjVxYJ7G3IpC7qMiRn1tA0iBN48MowL2I7jo1mcuyCYPmbXT8TbBMyibDho1nrdxz+bsPirvXf9QiLZ5X//LfHmvfyzH8kPbs0Ma3gs//M6L1dtdAkVgDCo3W76vRuU1BBu9kyCEeuw0UXlxe7Ow8UFQ8MDIzn+dcFWC04eMU5eMUJy9IenNhAZdr4D3mdTLcgChn49jiIqspdtF1m5InrS5HA7YDcSW1Tn4GXPIxiXBs01aZWODLM38HSdMsn7+av2RK484vHAABvN/t5M0ZAEDQitmFoVOP+k87HzgveW1TiaN9pTuoJMUH8e6ceKDpOGkEQgUzXqiQk6v/8nnEkIC9+3DBM57E4NWVlbl0kKiui0JgcOpyS2zRvgh+CoGevPvzzWDzOdmToogs4/DNF9KTi7xaNpHq7PonG+OCZl59WqyORLJB+WDI1CIfDdWA5bD619WQyqVtKUW1iy2O9NW/U9/89v+qdzkX2ewk6zaBU4a7e5Xu7y50dOn+RFJcLD5+9v23ta32wtxtJ5feKGfrgaRCBDqBO/jIbuKP+SU78DxZgYWAMYP69AZYJvksY3yVMIa55fPN3vU7lGzPP2qHz/n+9TkUg0QayPQ7UlMAVHdETcdaEWgnTB8WR+y1p8CyorJApuzp9qjcAQGDD6nT88zg7qGy4Wo0WRyYZSSRioHdzJTgOhy6ZXaZS43494M7naqePqzZTsJtKIfPJFQqAdKxa4h01u/DhqYBhzXXHEEzUhe8FEAGGIDT4K8RQq6lOIFKsSHg0oRB/+Nw+MiQh8UL9Zh+DKM+WRaMIvvE6jyb3dHZucyG1Rrv7bGG9wdGPWzFvnLmVWHh8z7yX07JY/l6ynojT2sDfy7GiuvHw2fvzpsb1ygJmsPHjnJvxNlfu2BaW0rd8monHt3sSWiMU/7T30ncbFvVI2NoxZ26XxEtHIA6DzF0JxlXh4h7l5QR48m4klWcViV6f7Nlp/SIGBkZf8hLqYHUBOts+aspn0VPX15U8vHtkdX7SMcTYkTZSUcppjzCLdZz7EpQVpqFHNBoERVVqo+dyiDBQasXsxf+dN7y7H7upFGOTuO3sDpViXLW0INBb+vl3/nUN5pb7xPnTQFNKx2NYfA+x8NmDM5gIIAho60mVezQkV3jw0Vqd8+vrz6aVaB2CZwb4+fNH/tw6utI28Ss3vj2oZPncwPZOyv6+VFpmvUIteDNTEZxdVG/mt2AOpZUdqS6ZCPWXFJb24qtlwojQBpEsIbWg95boGBwOHTNEuHR+SWx40+PcdkN8qVy1+acTW9bMx3fbtckc8moJCGuQRY8YrEeeTmdsO9p4pX6CEaawrQaEJi0GBkYLWID1BDyB7D/k9aFzt7Ns3OJPbUw6900rj5QWXgB7HBxJZbfQaD0E4kaB9hWe+h4IR5HIVZl5FXKFCgCAomhOUW2nuu2teGtu6bbfvDvQtQ7xl6xelr/666DjFwXmTBjgbW+rvtLJIETHhqpUOb8BwzNHSyRJgoHslJ8Rf/fEpgq5ddBr56Onb7K2tlE6LWs1AbnpirPkl4/m+Lo7d3RcK1IRIDwDAKDjTjibINP1nNvMsQuCO4k8AMCNBzaff+e/aaffuu0Bxy8K5Ion2S8IAi4CVa/GWB8umXju2sOK6sbeW8IcCkvp7s5ta9MrVdp12w9vWbOgO4Ki5iOWyOWwk8WPoYih9pYCoTsoT7w/3a0fK9swMDDa5N9+RNgmfNcIvmuEViUtSD4urivkCvy9Il/FE5vVLF8gexwDnm2svAy7vdvfG2mGLLqu0xtvPqwUicRKaROeRNYrG108A96bZ1l9GI1qmDG++sINu8mja9sbY8vT/PZNenyq9adbApfMLvNxl3cwIQRBPo6E2vp4HI6MklgAwqPU1v/wUL3cg9VAE18mVQOVc3PwJKrJLUzN0WsUXpEjfeNebxmssZnU6nFE0+BJSlk8o/POr1lxVqfvf93AexuQ+U28N87d3TtrdM8oSH26LP+L7/3OXrUfObh+48c5JmX25Eecnbu9XJ2UC2eUAwB0eri6jszlWBbyWsqmlXNWfvX3lk8X0Gn95sonlhLkCgKL2Tp+1ekNn207tP7DmVaMtpv4ehypXKHHuVv8GAQj7PAAVvG8CQEwDvuojIEx4MACrHYhUa1MIpB1JQ+Tzm+BINgjfKqNc2huwmGfmLn9vTuzQGAKNPhQf+/iCTh16aqFgSYdaplcKRLLHOx4BEJXXoTDohs2fOtvz9d0oDBOoxrGDBEOjmg8fNbp3FX75W8VEglIe4MnDnYrPVBvQMVcfo1CaSjRT0etgp4eQCzYQmdRHuYIfcJmork/5mU9FCECriAgfPzHeELnUQKx5vCYCWaJQ3q5cFc6snce+a3Obg1EYmnVFos2dcCmFTmtrkSGiOz56nXbA8oqqXoDTMAjMydWs616N8AiEvAbP5792fZDOz9/HddPwcHa/+T/3ymnkgra7ElVkSHN8p5GI7J268EVSyfZ8gyXYAQAACAASURBVLpSINg16kR6A5Fv6U8BkufHuKmmDAvqfCgGBkZ/gAVYnWPrNsjWbZBBrylOPZufeFRYluoTPae/N2UeKe+joTuh/9ne9TsqxpAj/xx5bVIAAIDJoDEZnZcEtQcEgc2fZK/4MrhTCxcqxfjm3NKiMvrXu3w8XRSvzahocxiMg/08OShqPTqOgaLondRreWWnquEotfUE0wDUYbpOXS3NPHz1wCccWw/vYRv8bbzbnOp5aDV/jQ422tuam6jD43DvTHE9eGV7qcaT60aUyhQoirKsGGY+3ibZBczicvrYocLnOwQFduq/dz7szuRdwJrNeG/RuK2/nln3QV8oIDwPk65/b1ExAGDt1gBTgIUg6NptB99fPN7ZoU+78+5nSCFBJ/ZQrUF09rKjk1/pMV8KDAyMHgdLLJsLnkD2jp7jF7fQc9CrJY8u3ju6Ju3qT2p5P9eRdAzVcQRe03Y80S+gTJ8s44Tj19oucFapNaevZ1k0YdygxvhUs9JCHi6KTStyGkTk7IK2a4FlCsLZq/YjY+sBABAEDY9wfndWgABNIdaeRPUKYWnqvTvXr99Nto14x4rnFjllg5XZ0RWiKI+wrR4S5mjmeBNMBm3ZLL9xnjXXbyV8fxF89w9l37k8BOm6+CedZuBxtD1lkt0j+Lg7DAp233v0Zv9uw3QeiqLo+h2Hl8we6ebE7+MNGIi8Dqww24RR9fvC8Y590N6IgYHRZbAMlmWY7HFMAu7iuoLM27u1ainXwd89bAqRMuC6eNQu/wHowPoTTBdftnd6ppkcQVC9Xk8iEbMLhSKZwWA0mu9lO21czUcbgyODRR002z/Na9PLv97lw6AbGDRDVKhIJCFOH19tuvXNLp8vljeXJZlAUTTAGSq5uv/RpR+tQldETVkH4/AAgOqC+61sczoGpjmV15t14tYoknI5z/xwRkU5M2nEyylVCME6QxaYml08KNDyamgAAADODipnB1XyY059I8mGq+3aJD3O2KHBvx24eis+a0RsQH/tQa7Eoyi64dsjMydG+3pY5v/YL1DrjsyNI3I53cpoYmBg9DZYgGUBKIoYjfoWexy2rVfk5DUAgKbq7PTrv+jVco69j1vIJIsES3sXCP+cm1k/w6DTBoc+09n34FHF/YclceGuReX1aSkP/VzZMaFtC0Q9Dwyjy98s+vjL4M2fZFsxOu+241lrf9j4GABQXUfJLmCqNbib8TYjY+sv37Z1sFVbs3UAAKMReZCSdzM+S6czxIR7fblqrlan33muQY5rfrO4Bo0vy7zqFvJKx2uhqkqAI0MkHoCgehUDRdGO8w1qjXbHgYyx0U6jop759gcF2A0KsFOqNDlFRcHe3e2uYND0SjUegLYDrOo6Cs9a20GlWheQygmbf/IN9JFOH1fNoLdRT7Zs4dgN3x4R2Fl7urYWwe8bUBR8vev01LGDwgP75zBdb6FxuD2hxNvVq5c2g4GB0VNgAZYFVOTcdPId8fx1awd/kzypqDY/6+5ejUJE5wjcQicxrbuYbHhZwcnSG6W6i3eLA91Z5+9XVZbm6Q0Go17j5T/o8oMCCgm/ceVCHteyRKC7s+LLlTmff+u/dW0mhWyu/riDrdrBVq3W4NZsCbyXxI0JF701L+fCjcyk9EIAQNwgn8/+M4P4v+p7g8EII0+it2bbnM4CLDvJIRuGrqZO32D/iZo39bu/fp0wxNPfw6a98RQyKcjLJi27slWAZYJGJQ8KMjfu7ICIIHFCqrWro7LNu5U1lFWbg/7Ymsak95g2hBVDv2NdRl4x4+Mvgz1clCo1DkEAn6tdtrC4Je/4xfJXV3z191er5vZZ497TCBt22vHHDgruH604I4IYgQVSW1ThkRGRZh2LY2Bg9C9YgGUBndrjcOy8OXbeAACFuLrk0UVZUwWeQHbyG2nnHjWQZd/7DJyuDgb6hMz62/eTAoNCPnx9DAQhRCLBmm1VWmn/MLvW0ujKBNtKt3JpwdqtAd9tyLDIophCNq5658alW2l3kxofPiaNGhywacWc5/WETt8pl/A/eHL1educZ0ENKlr1n14C3ZSRvudvZt6TFSDs8AZZnBVV2PF+FkzwFja2G4H1CEG+0v0nnaeMqWlT5j46TKRUl2bkWsUN6uHiQh93+e7tqUoVnkY1AADyihmrNgftWJ9JwCMAADwet2nFnA3fHvl+w+K+EfZs4etdpxbPCkjJCEnNbOq0YaI3SHxUqaRbYCMNGZXOdtjhIAbGCwAWYJmLRfY4dLZD0IilAACDTl2Zeyv+9CYUMVrZuLkEjGVYW1bs/DKh407A6eo3vOZJIrV2SnF15Lo6dt0t0clBNXaoMDGdMziiqdPBao3ublJOQlqBXm90cuBOHBHmaN86JaA3GPE4GIIgjVaXl18EvOSA+CT4a2Wb0woI0aA4xsNKkn1mRXwxEfEIYWa/j1Bd999EJkXCQV5cAMBPhx+xrWgLJ3q2epbPZbc1ZU8isFM3SYjt+QilZbInjmxXXaybmKIrAICPu/yjN4s27fTd/Em26Qrbirb8zVe++fn058tn9dLqz7P5p5MjYv1jwr0iQ4q/+N6v7wMsxIjczNShLhZILSg5k49f/+/CV8ztscDAwOgvsADLXLpmj4MnUlyDJ7oGTwQASOtLSh5flIuqIAi2cQ5x9Bk+gKq1+gojjiVXNlpkY2wm7s7K1Ex2ewGWwWBMySi+m5QrU6jIJOLQKN/1H8xsL1mSX1J7+np2aID7mCjn/RcL1ARnQHrmN8Xie2Te2dPuVogcteBNAMCp1J/xOMSx8Ss53qhU1Yj8vz+d8lt2SR4Mww1QgFZW2fXvtqtI5YSSChq+/Twfi6nT6vqiudjVUTkoWGyqgTNdcXPij4j13334xlvzRvXBBrb9dmZ0XGB0mBcAAIdD0f5oBzl1u0Rqs8CyZ8g2pdUcBEEx6XYMjAEOFmCZS2NVlm+shX8Kn8XKxi145LsAABRF6ssfZd//W6MQQTDMcwp28IqjMnv3bKg74GSZBE358+rkXUBL9s0tORvLYlx9kD9hSI+p+Bw645SYzjFpkbeg0xsePi6KTymQK9UwDEUEuS9bOJZBp7Q5Q0mVpLquIb1Ii+CtGkRyjeDT7NLdpVVNpdVyZ7a+SpqKWD+TdWNaO8kay5ncduuiUETPxde8PzuQRCSUVvL+uE0HAMgdlqUCgOrlkC3dWHdKLJGxWX133KPTw2u3Bny5MofLabeL8K15pZ98HRQWIOmD/UwdW/PplsCWAAsAMCTSt6RCeOlm2sSRYb23LoqiG3cemzgiLCr0SQYx2E+Smsnu4ySWVK6CcCpLtTf0ENXUeGv6sry6icMkM7qhKoeBgdEbYAGWWSgltTQr256aDYJgvksY3yUMAICiSENFRn7iUZW8AQDA4Djae8ZYO/hB0ICRKFOU4Ep+gXlRPTIZZOV1Oxd3L/lyTMQTQSaDwXA1sdxoNE4e1pXeqKR0jk4P/7TpEQBA2ChNTCvIyC3XG4xEAj480O2d18Yw2wmqWpDKFIcv5zag3gwqTk30Rz2CIZhUJR/LFR9fNjvkfKK0VXQFAPCKmp19d1/ExFVtToiXJpOF5yaPdSYRCQCACwkiveDtloQDRGAAALQEe5Gkqi8DrBohJcBb1kF0BQCAIMC20qs1OPM7BroDhWxEEOhpdYzFs4Z/8f1RZwHP36tXDtNRFP38u6PTxkW26hmcPr7mi+/6+pTQikZEFTJLn9Iwov86f4jLJkvkqEavK87LXLl0IgOry8LAGGBgAZZZ5CUe7SV7HNNxoY1ziOlLuaiqtiihIPkEihghGGdt78t3i2DZWO5T1kPQqv40KBtghrvKblGPTIjq5Sqi26TB8ODgZrGGhIza42dvMNj2KxZFdmFCqVz1wx5lWMDNDd8qAQB8Lism3OuVkWHm10rL5cqde685uXhM95U7OvDKqpPuPL5EJ8Nu7rSooMEIgohEpUT9cZ3dq08/RaFbqxXt1nvhjbIYf7anszViRO48LKlFg55XkkQpDuX1OncXy77f7uAiUDaKSGlZrI4TVBNG1J6/bjd7UlUfbCkyWHT5Nn/iyLqnL36xfPbHm/5a/+FMnnUPa8sZjciGb4/MmRwb7OfS6hYBjzgLVCkZ7Iigvouxpo/yyt53Uc6x7JWPMrwLqGsLED3EZqCqmlHDDjjwrTp/DAMDo2/BAiyzUMmEPZjB6gAGR8CIfNUr8lUAAIoYm2pyq/PvZd/72yShxOS68JyCre19W5ynexVUUcFQp4sRnp4VC3qoC5IgvgdVnwqc2FxkU1nTePj4hciIIIYV14rZeZ88iqJlVQ0ZueXZBZVanR5FAZlEZ1sNeee10Z2mqdqDRCIumh5zK7nUy90Xj8cHelMDvZ+oTf5yIkdmtwSPJz3/oK1rhLA0he8a8fwtNWtYVsGFIaH8/7tclo+bAdm24fEM05xSC9TDw5G+dOrd8FHORxtDwgIedTAmxE/693GXvgmwJoyo27jTz9dT/rRyBAxDX30yd932Q99//jqh55oKDQbjuh2HF80c1l5ubOn8khVfBvdlgIWDYSs6qSMf8v+BGjWQUQOIzY2rEI4M1DXUhpM8fOWoEf32AQwDA6MDsACrc5qqs7mCwL5fF4JxXEEAV/BE4VraUNpQkVGedU2vVUIQDEEQk+vCsfNm23r1Sr08xUaBd54RCdN8/QEsZlqxAQBLIpcQaSocgVxTXuDm4VNVWX4swwJ9Jh3egaRXnb9XsWCiLwDg0JXiIUOH2LBIDrw2Ihid3lBUVldQUlNQUqvSaBEExcGws4AX6OM0blgImUQAAOj08JaffZj01h7G5nDrYeXdx/VGspOq6sHbc4bi8a3fDvsv5FYQJkIMzzZPy9xCJyef39pmgAXBhGrOO18fPIs3iCHfNqIrE/XWi8/cPjRjVOtewt4jt4jp7KBq7y6Kgo07/QAAY4Z2oijRU0AQ+Ow/eSu+DN6yJutp8S0mnbLi7ckbvz/29ep5PbKQVqdfu/XQ+4vHuzu364QDQSA6TPQ4xyrYT/r83fhU6+o6ilqDiw1v8nBRWLoBFAUSGdGKoX/6PBQAoELMk/6S5sL5O5CYZu92SFEQjB6eNd2TTMbsCDEwBihYgNU5Jnuc/t4FAABY8VyteK4ANDczoohR1lQhrivIjT+oVjQCAEEQBABE5zhYcV3oHAHT2qk7uS5CwTYXrlimcUi5flapkC9evPjEiRM1NTU8Hs/JyfnkyRNz587NzMwE9qvNnxPmBKLub6c3SR/vOD80wrVRqh8VQQ3zd6xrkCSkFlTWNpZW1qs1zcYyJCLB3Znv6Wo3Zkgwjdo6AqsUyqhE2Jrded6rsqaRSCBQyPhW9tLOfJKHHbFKInnvjVG2Nq1Frc7fKcsxTjCy2oifTODwRKNR155tDmzli1M+pBt1bWt6AgAAQKnOmdWccUo1jdYXKUkAwN0k7twp7XYv3kvmRoeKJoyoa29Ab0AiIptW5Kzb7u/nKR81uN7LrTmh4+poM3Fk6G8Hri5bOLabSyhV2rXbDn66bJqDbSefQ14ZWfvz3x6tAqxT/zgkPeLEDWr0cpVTKcaLN+3IJOO0cTUaLVxXT66uo7g5KZ0FqqpaSmae1YQRdWwrHQBAJCFKZAQHW3V1HUUiI/x13MXRTl1VS4mNaFKpcSQi4ixQ6owlMnJop/tHRWkUWYI6cIupjA/Vy50VhxbM9se8CDEwBjJYgNUJKIogRkOLPc6AAoJxppDLJXBcy0UURRTiGmlDqbDkYVHKaYNeg6IIBMEoisAwnkzn0Kz4FAaPwuBS6NYUBrcDTz2Dz+c5FQdyb5zOrjT4+/mpVCqxWDx69GgXFxcWm1NQkJ+UlGTmVrUqiUpWr1Y0qeWNalkdVLLH0Y616+8SrVZD1ldduoHn86wc7awDvJ2mjBlkSk11SmmlqKZRNff/2TvrwKaut4+fmxv3pEnaNHU32mKFUtxZcXeZ7wfbGGMwdBvbkI2NMYEZQ4bbYLi7a426exp3ubn3/aNdW0rapKX6cj9/NTfnnvtEmjx5znO+3+FhOkO9b+PsAvmJm0XlxBiCpQLTZa6YHcKgU6vv9fMS+XnZ37yp1hmeFNMRSb3ZVSUN2+Yg9AAVWqnmjwIUs7vMqhFOPXr1l1nxreF8UlBMz8pjursa6xug0pDFonrvbTkEfPNPa56WSqk/7whYMCdL7GqqPB7XLSS3QHri4sNRgx28EA0gV2o/+/7g5x9Nrm3eZ7ES7DoCMRmITv/cy5SVx7z7hP/N8qTqIx/6Zt58INh7zJMIY2JXk6+nPqeAcfGmSMC3xEQr1v4cQqchKAoJ+BYBz3zjvqBzhCojm8WkIygGNq5MSM9hsZmIwQQXltBzivh05KmWFoDRGvJAhDjh5pzfkdyzpC4bACeMJd37+tiAyuxKrtTcTZZFBXA9xK+c5gsOTjsHT7AcUJByyTPMjj1OuwWCCCy+B4vvAYL71L0PwwwaqVEnM2plytL0Yo3UpFOgKAIAwDAMAAzDMJhItiEWCIIIMAlDbTZdId1QPCR+gtVixjCMQqFcu3Ytrndv1IYBAN5///0JEyZYk76wIRYyjW0xqIkUOmpDUBQhkqgYaquemULn0VkCGkvA5IpFXpGdw0ujAlhHb6reGsHX6JDoMMmLy3MOUWqRvGItAGBgL+nVO8L+sRUvjrmVWF7EeQMwfQAAtJJdcqWmdoJVH4jNtvWfPLVkicP6QMO2ORZuLwAAZjPyin6EAKKQfAQR664HQWROsaw1yldGE7xha/CmzxIaqHpI3Iwl5Y6fnxZCLDKt/CB16bpOmz9/Wh3kzPF9v/7pqLdEGBnaFKegUqly/S/H1i6dXrtFLzmdfeBfL6OZMGVUocVKyM5nzp5QI/BBo6ImM0yl2AAAdx/zL9xw/WJR3QXo3t1ltcXua+89/HZFYu2RM8YVVP+dls1aui5y48rEylXCEH+tUqPbeUppsFYgDSZYAKZg3X4lYRiAIAAAAataS72VUHQumalzmXvz5gO+LcXbBekZxvN0F+CVLRyc9gCeYDmg4Nnlhu1xOhIQROe40jn19qC8CKn8OISOeOfdcVSijUQiLnh/odlstFiB1QY+XPgxAODcxasr9jcuClRX4MOBLz9WAp85W/d8EhoS1LVTU0wbtUbUAPhms8Xbw5CVZ18EaHB3ccaVhyamDwDARvX65/KJD2dVlaz0LyzMmS3WW0+LkjNlMh1s8PkAgp1INRza5thMwqKN88d5oRjh35ub8suZKvZQwKrVN4NhDFK9TVHNyE/bA5a+l16fkfO+454pGWyTGV78TkYrBFMfNKptWL/ymw8EfWJq0pflC8Z9un6Pm5ArEjRur1xadvGWXee+WT6rTk308GmPT+enMejIH3t9IQgYTXBmLjPQt6qtanDv8sOnJFFh6kOnPLhs64r30+p0TTWZEH/tqMEl5665Vi/CJmfJC1izCSznTKb/S5vUrnM3H/2JRbKUkPtbPfoRALDS4stBfJlV8/jOPaY5gwSjANgCRUYMa57IcXBwmgCeYDWE1ax33h7n/yVW1zEAgLXHAQBVO91uH/2m1/jPAWj6T2SIxDx7/jrbNcjHuL/zqP69ot0tFiuRSGysMnUXf+pDTeftJ6/zKX523Yv3X8hVaKxcU2oZOhoQyBZuHw7pVtXjsiJfbDq0dtkMIlzz4uYXK9NylZ2ChLkFFc/MMkB1at9oUMykem1zzFKxdMvb43wrRSBnvRaM2tArD05ezU80uk2piqTgdpCP/fyyuIyGopCnezOkXxYrQWcgetXT3v77Xj8vd0O1a03bMrRv+UdfRPXuLquuwkAQ9PlHk5et37Nh+cxKXTFneJSUc+DErdrmhrmFDG+JoayCGuijKyqlBftr35qeCwBQa0m/7PRfviCtcliPzorMXGZSGmfZ/LRmFwPrH1ux+rvw6gSLSQEYYmrsJBCJqfBcprBznI0Ih6hAlbOhTJ8jy1w2wBvPsXBw2gY8wWqIzIdHm2CPg9MwEIVP8Z/ywUhU4MIFABSVKX/dfeGTt19zRqahNgUyhMAJybdyEpMycmUJ+eW0iUNr9usZjKZ8OVUqep8uXYnqiwgsP8yqZtKqvmvP383HJPFyudpVVNO5EuQrCvIVITbblYdSEBrS4MVRatZGk+tYwAriuQUmX//L7iCK8sabo7xrd9YTYMKgnr5UavHJlH1mTiwBGAMol27cm3T7IUaAAJ1mi+sui4lSlMuo3/0exGVbCQTMbCEE+elmjC14mTpKZi6TSbdvPrj7qBeLYR3ev1Ub2xuAREQnvla0YWvIp/9Lqz5Io5I/fnv06u8ObFg205lJzl59mpia/83yWdVHdh3xzshh2myQ0MViNMHTxtR0+v+6229mrYU8AMDM8c/dbEYgCNQuKpmsACK01IcwxvDTUrvgy4U4OG0FnmA1hLz4WVjcLMfjcBoJg2QSuIgAADKFdvO20zMmDHI+u8otlHqIXUhEOLfcRnARW4GY3qsLUlzePew5Jc+9p57qTWIIphrDNhIAAKiFXrJzwBhh5b0ZpTAmGnYrad/4QXVbg4kwHOjFTjArALU+8yKUkv2DvuQuHFAl48528VJX5HKEvnXGURAph23HwTouWuLrWpFVfMSKoAPjQyGoqnSk1RGv3xdu2BrCZCBfLk6ptka+88hlzebQpe+lv1hQSclgb/4r8M2puTHRCo2O9O95cV4RA7FBk+KLwoOqJMJ/2elPImHvzcqucy6Gge//CArw0Y0ZWlLPI20b+sdWUCm2xV9FToov6tG5qlLDZbuOGRr7w7ZTC9+w3/FWzd9Hr1ssyJL3qn4ayRSUDVuDh/Ytr91oVRuDEa6vttcShAdpnqZwo8NVAIA7qUaCe0ALXsyZZW4cHJyWAU+w6kWnLGFy3ds6ilYEQ0Fr+fMQIQwAcPJG3r08ZmBIZHRII0Rck3LUfx2+4x8QUIx1rz6oo0QYzem1h/l5uabndwUAAIBiVoOo9LvXR3m58Kr2kWktdCKp2NXDfnf54G6ClGsPEKqdL3LMqhOU/dQ1GLtBG2/8b9k0uMeU5Ovbu71WV8uDQrTVVz9wFwvdxXUPsphI/MDS+IGldY7HdpWzWdbFX0VuXJlIo9qy85mHT0uMJhgA4Cow//LVkx0Hvf+9IGYxkTFDS2aMK0BshF//9tv/r2eAjy62iyIxlfPb+sd15jSZ4WXrI96anhsW2GirllagZxdFzy6K3/f6nbosXvNxSmIq57c9fhDUKa7bbwdP3p48sld9J/6846yPp3DkoMqXHjzLZP+5z/eLRSkspv0CHgCARkUfJPC6R7WSvui44SVL1nb68YunZVKVTG0jMpIQTlTrXBoHB6c1wROsekm/d7CF7HHaI4jeen0yset3DMVpg+c7gNiyxrEohj5KyrtX7Gn0nASr1zp/IoIgZTKT0efDZKIIsGtal6z8/nee3Q3xr6k59e/mcy/huFzYl1ewQVmSNHlGnNClKrvS6Y1WIk9kuRMX5WP3Knweh4qU2JWSZFQcmT9WcvJ6ntGlRpyJyuQbNHaUOfUoy2A00WnNUEUID9KseD9t8VeRlTKh/5uVXTtjqOwlqoZERN+flwUAeJTE23vcc9WHqS9O+MWm0MXvZEjc2kCUwXnenp7z/uroT9d18vHU/7Tm6ZMU7r7jb6o03/t6ZnWPqlv4QRDb6u8OjBseU33X1TvCM1fdqnft1cfit9M3/RmEolB1taxFoVJs0WGqzzcFmcknEZ8pxPzdGCsMIjjbW4aDg9NRwBOsemk1e5y2xyyHDPmU8A8JuVtsbv0BscVVA1Quk/ZmlUDiLphFCWMmlUZnMAF3keNVwhsP8zKwYYD/gioSAZYZngsbggCRIaIoLgzrygoaN6x2I5RKrTXDISS4bqGoGjKJSLbYV+N0IZazmX5ervSHJWoCpSafE/v3eNE2R0cOLyi+GRLg4fBxOYO7q3HTZwkqNUkkaMituTZdOyntuhdfuOEaEqBt59lVJWuXJNOoNiIRAwB07aQM9tOeuzb7g8/+nD0h/L1ZVc8DgkB6o/79VUeWvDsiLEiYls3089IfOulhsRI2LEtqcHoAACASsXHDi+8+5rdOggUAmDMpZ92WS3piEMYMsYZ/hTdJ4eD8v6T1TNA6FvLiFKFnZFtH0UpwZAeG8E+gMBOJ+sHsNr413hVUN4jfhVa6x1+zNTmj5Osf/7Ui9a7g1CY534Sy7BvLKIB/eUXNF+SDxOLywmdi05Vu4W51BNwVajNCEkCYfcECAIANRU2EFxbwAMD0xSHuGACgS5gbT74XQ2usXfw6j8p5errOeAhq5lVXMgl1PrtqgJsPXOZMtN+Q1N5gMZHK7KoSJgOZ8FrJlQND/ty3r1yGAgDWbwlZtMal36TzbqJPdhweuHRdpwcJ/NcXd6tQUOZNznPyKogNIpFab7cdTCB8NK+3K10N6n8T4uDgdHTwCpZ9Mu4f7vba4raOopXQ6zT3E7LIxiSU8AHC79tq1yXZNP+bGiRTuOWW6L3d7etI1ebCnfxS8mACVWj3XjOj04VbN6eO7FqpWXrvcZ//TfP187K+ONKGYihq49As9V2ICMMCqvzFjWQQhVehtgEA6DQqk0pU18pE7drmcEwP/etRim9bGDSbVkdsoC2pnUOlkHZsGjFs5tkZ4z7ML07kMA/d/mcqnVYGQNVeyFnjG5c+0qg2nb5VPwwZDFqwF61MXwoYDUqM4uDgdFjwCpYdMNRmQywkSsv2IbUfSMYsDasf4MdYGa1qHGsDBMRmE/DZ3SPslIvqUCZVXcsVWvi96xtAYPk8QsZdeViVF1Uo6HazKwAAlQwwxcMuAQ2Z7Hb2pwF1ct2jRHqBkgoAMJksBhujjvWNb+TwvMRztY8wYCOJ1B5/w0waWfTzzpbcvNbydAqmbVjW+daDRYE+59cvm0GnvZRYnYeb7HoT8QAAIABJREFUsbC0lewgqxka6+Mi397KF8XBwWk18ATLDgXPLnuFD2rrKFoGe0sSxuAvbC79Ad0LotgvDrUQes6Ai3dzHY8DAABw8EqJSdzwngMCLOyVXVolZABB9a74eHuISGVnPMW8Bubq3cVLpDsNAAA2c23lIgM98l5S6cFLeQrRvDqnSALjSjJv1z6isfFNpnrrZG2Ir6c+2E/75766uhIdCAzDktMfhvizHfo3OwMMYxYLAUVbtRuKQiYNjmZgykTHQ3FwcDogeIJlh4Jnlz1D+rV1FC8HomcXb6FKj9U+xi753btsFSX/V3LRbnrRH9yS30RlP3hWfBtm2cEu2mxxn9zaQbKCbpcEHrqYabbYLzVV8yC5qITUGxDIDQ8DABRbfO88zkZtDbW20GnUNR+Pr9OYVQcIgmAiGQBASlqEqmt24Zn4g088IRWUyCHyC7YtEESiscwGVfUBHaff7cRihzG3CeNHFFMptsu32+MKpkNMZuuy9Xv79Qxbv2xGqVR593Ez2PuMGFB28pLjSmrz0jnM3UV/uZUvioOD0zq0x/WLtsVq1pMpzA5tj0OvOO5NSnptsHDLlecMZERUxdtjojU6vVardhXyybVcRzYdompbSwSrNgbRhLtGac7+raN6uYQF2N+zmZJd8W+SC+I+0JkJja5TDqadN1mziHBDPcvOSCcYrDAAgAjMFkT73B1UIWq1nzYFP2+bAzH9kvPRgTHOBN4GdOmkuv+0Gco/rUxxmWLD1mPLF4x3E3IBAAvfiF+1cb+7K99LYkfT1Xn6xMiWrO00ekiraq4SYVjM1itaUYIOBwen1cD/q+uS+fCof9cOa4+jz2Wlf0JVXHpjTMi5OyUG/n9SmagNVT0zmUwEAsRlMz0lrrWzK53eqEUaakhqUSCaqMJ71a6EiC/3lGzadVujrUkKMQzbfz7r4H260d1pPX0Igt2H/HEgsI40VBMQUlWYzYRYzRjpucVEE7ef2sv+Bgiua4CyPLP2kQqbR+1H1K7w8dBn53ewRsNbD9N+2n7m2xWzKrOrSlYvnPTNr8c1updVnWg4KW8heoSySbILrX9dHByclgZPsOoiL34m8Iho6yiaCFGfOWmgz5I34vacePzMHAeRq76EIPntEbx9w2PsrAel51b8cKRULZrTupHWgYAI+quEM7VK6Reb/01OLzx9M+fwxYwN+/IeIeP17o5iQy0YUsvqBCL4xmG3kl7WurhfJANTplhNekB6XqCLIrCzPvgflbY51TcNLvEnbrbTVUI6zebpbnyU1FAvWrvirwOX7z/NWr9sRh3LZxIR/mLR5JXf7rM1uDTcMEYTTCK1gWhChUKPWrSOx+Hg4HQ08ATrOTq6PQ5C9XqcWophQGvEEHaNjhfL8GBAr/DaQueV3HhcuPsuS+W9BCK2WQWrGojCV4f/Cnps35ESe0n/+h3sPZnkE4wR5OA0DCUnLSYq79Y+ZhYMSy8lNdyJ5RAKCSYY81wFLGBuhIlKcI8pmQ+OVt+EyNxMlVBvML1MJC3HW9Ny9vzjVVLe2hvoGovZYl22fo+3h/CjN0faHeDCY703a9g3vx5v8iVOX3YbNbhe7dmWw9+DjZE63kItDg6OQ/AE6znS7x0M6jGpraNoOiSgKS4t/2Z3Rhb7AwKtqqUJsyjV9B4nb+TUHmlD0d2nM87kRRrdZ7ZFpPaBSEyIzAYuPSGqACI7rqwQVfeFRet8XWGEVVcVVskds3bbzZfJsahUCtGYJRKJIHojep9ftM3R8sdcuFvU5DBaFAgCa5cmf/1TiMncfpsOi8sUH32x491ZQwfFdWpgWGiAJDrM5++j15t2lYeJvG6RrWRHWBsbimL45zAOzv9H8H/s5+i49jiYRYMZy2GLXM+MU3h/CmhVOQFmVvhUrOvNvybkUGqPv5dQ9Fjf1+LSgdUoMLMiHD67dGbwjNFdOfKDVQetVdbFGNNfJZ5/9WHT9coNJgtkM/G4bAxtnCCnOKBnWc6D6psQVZRSSm6feg0AACrFJnQxW63t1K/l8u3kX3ae/X71XG+JYw2REQM66/SmG/fteC82jFRG4XEcbGVtITzFIoHxOoZaSBWnRKWb3GW/SGSb2UVbMW0OAIBc9DcwtkFdDQcH5+XBE6waOrQ9DiX5455gs82iMUjmQgQSWXmdoroBAKArzs4ZFT5uYFBcF+/a44O8OSzFqTYKtnlgKE6N7ecNAKDTqGyyCQBAT/2UmvtzzQh28I1Mikpj17XZMU+y9EQal8mkArRx7jR+0SNzE87UPqIQvf7nv+kY1gY91M7gJjTdevhSW/BaAgzDfttzIS2reO3S6VSKs17I780aeu7a06y8skZd6/Bpj9kT2sY7iAAT3hjlFape/1aPoiVTPRdNcP1ogmT5FN5Q3iFO4Q+YSU7N+a5NAsPBwXlJ8ASrhoz7Rzru/kFL2FfJMi+LYDiwqKmpK3oL7omtNwEAEIboTLYXx+85X6T1eJdWslci/UFU8j29+C9mwRZq6R6S9DS57Bikftbqj6DRCOBC1n9aVkRgAgDoxbPNPgtqj9G6v7PtZB6KNiWzUeshKz1QpZADtHG1DZhIRm1W1FZzFkTmZudXnL31shsbW4i8Qsbw/o3LSFoajc64aM3OLhG+/5s9rLHnfvbR5M1/nVJpnNq8aTDC67eEAADcRG3WJyfgMd8cG+bn6VJ9hEgkDovz/2SiKNBFJcu+XqfFEAcHp0OA62BVgWEoiiIkctv3ejcNhvKclR0NkTm0oj9nDBKEBHpuOZoLbGamJQPC/OsMxjCMRQOxlL1D4sVctgcAwGyxUshsg9Gk1RXDMOHMrYNPjP8j0NqvCiWp/ETfSHb1TZWFDQCAuGF1x8GUUu7c3478NW90CJXiWKe0NiiArLzeiUm7gH+jF498IofnJZ7z61zTkU3hSG4ny0f09mvsVK1AVJjq/HXXoX3LHQ9tFR4mZu/558bniyZzWE35fyQR4TUfT121cf+m1XOJxIZ6ywpL6Bu2Bq94P1XcdtlVA1Cp5NfHRkT4sW8nHC6iBQBqu6sy4uDgNABewaoiP/miV+iAto6i6bDMKZCxGABgEE04eJeQmCE1WxEMICQi6ipg1hkMQdDrY8InDQ7ksqvuqtz3TqdRXYU8AZ8zZoAfXXG+lR+CQzDEACpuiUvWhaq+mhSRFx1S1S1XIVcZYI96T2P4ZHEXbTmS3tiGdwyDIBLb7DGLwPBsbKiSwF51bHOIwGKkhT1+1h77aaaNKUxM5Rw/797KXjEvgmHYr7vP33uS+f3qOU3LrirhcRgfvTly3S//NHgt8O1vQd+tSmif2VU1MZFe86d2k8h/gvRZbR0LDg5OI8ATrCoKn132COnb1lE0HYNOaYVdAAAQmafx+vDcvXJPtiZQ8a1CqU/OaPSX+tk7xSZOrxYI86XglWx9u8vDHqH0YiXKYdRUJiAAAKGhWixE5pZw31i7JzunUO7MhfKLKp5lFqn0EADAKooHTdCweME2x6QuAp5Tb6U0sSGspVn8TgadZvv4y8g2zLHUWsOStbujQn3mzxkOQS8bhp+Xa7+eYdv22zeiSUzlfPVj6IyxBRRyG2hfNRYSibhwWkSkbTfQ5TgejYOD0z7AEywAKu1xqKyOa49DlZ5US95BhdUJIlrKf+NBmRePjlgYITChcV8hMqU6Se4LmO1rMQvTpPYJRYP8JA8yLSrBzFJZjWw3n8ehWQscnM/wUgpm30qU1js/hqXnlO45nb75YMbW217bk2IrBE7Lx9uj0jananKbEbOZAUyRW/lWxE5LXHtgSJ/yt2fkzl/Zef+/nuUyx1ZCzcv9p1lfbj68fMH42K6OlM+cpm+PMBIJvnizrpuyTk/csst/6ujCHp0VzXWtlgaCoBnx4e6qnbD0PLX0AFAltHVEODg4DsB7sADo6PY4AKAwjUD3rlbTgWS3KPk7bMHLn5pLeMQrwf7BjZrtTmKFnje6vaXeXO2VuNe8MAyTy7U0wk4dr8bjhUCAGCSL2tEMrJw1Y+fG1XfvmZtZV0o6o6JBEMPZDWsOAnYNSLq2rfJvkuI2WRxjAMCIscrKZZ4S12a5RLMTGqD5cc3TvEL66o1hb03PbR1dKJsN3fzXaQ6LvnHl7GaffPaEfl9sOuQpFgT71wgI/7bHb9mCNG+JoYET2yEEAvT+5FCpLJvFpKdkX7yYeNYGsVAi00IUWGA3iOkDUXDBUhycdgSeYAEAgLz4WVjcS5Ur2pY6claYS28LOwois0kZe2eOFBPhxlXm0ksAwd2x5lArYyXyrz/ITcqzQMb8pW8NMpifK8vFBsGXk78jk2CL2aT0WAQIdfvZSepHekr449Tyft19X5w8PVeWlKPHXPwgQvNkV5VU2uawmAye/iqXCROU68Ii6J4SSTNeotkhEdFAX90vXz05csZjzz9eyxekCV0ap1LRKApL5Ou3/PPOjCGRod6ORzeJlR9MWLRm56oPJwr4LAAAhgGZgtzhsqtKSCSiRCwEAMRGM2KjAQDAbLYo1IVKdXp26YUyJaI20dWYOwIz6dZ8d09/M7udqq/h4LwK4AlWh7fHsQMEAZhEL9nBZaAuPDoAAEUxAsGpppbMPKmM1L2F42sKGAbOPjIhLn1fi6WymHTW8437sVHi2CgAALj+MO9YeSmBWffb2gq7+NEzY6PsNJZhGPbPLaXM56tmjzmox+Ssf19fMD124MQgBqO929HUhkjEpowqHNy7fMchn4/fzmihqxw9c+9BQta3K2bRaRTHo5sKDBO++mTqsg17v189h0wi5hYygvzaaSdcE6BQyGKRi1jkEhZYdUSj1ZstWqGLCADt5pwCADqkcjIOzv8D2ttCUBvQ0e1x6gAnLAYVN+iF2yDZzY+mhdGolIt387YfvuPMuTYUPXazAnHp38IxNgUxuWjlbN/ewrvhfvbXQSpkGitiS83TQnXUJTCMUbLT13y4TA0lZMhePDG3oFROrXfp8GWgMV2ARTmqXwCd3totTc2CVk/ic1ukBKLVGZet38OgU9Z9OqNFs6tKWEza4ndGr954AABgs0HktjB1bjXYLIbQhdvWUeDg4OAVrI5sj2MXa+BCyKrpxJLlWam/HrxLprBTs8uWvxHjzLnHr2aXubzePpv9rSjMZjHGD6q3A/qPU4U2iKrlT4Hg52pFtNI9M2KNQT4+vx+znkigCbkKH4/nUjQ2k06ylrbQUgpf6L7ih7PAqv30vXgWs4OprLGZVq2++T8irt97duzcg2Xzxwld2I5HNxM+HsJRQ7pu/fu8v/csd1ej4xNwcHBwXo5XvYLVoe1x7EKge0CcsBwFc9Hc3mozJ4X6XqifG5/LcnhiUZkysVQA0Rut+dQ6WBAHaR9CFKm9l6KsGq1RmvQEveIY1ZIb6O0CABBxIJ3LyL+uIEVSVe0TBS7cCE4GZixpibB93PnXnkjHvda7w2VXAAA+15KTz2hGgx+T2br256OZuWXfr57TmtlVJXHdQhCE/dOO1P6xFa18aRwcnFeQVz3B6tD2OPVBLNhulj7ZcTLXzAinq66O6lO/CCcACIIcOJ/x7Z6U367RdR5vtFqQjcXUYIKFopgNI5DLj1OkNQaLblCyB/GZlSREbCgAYGB3d0rZEb3Hm1cf1ZUsH9BNRFHfa1pgmEnGKNkmkX7Hyv6SXHYcs9b092A2o8VQIaJro4LbryZ+w7w5LXfpuk7NkmMlpRUs/mrXlFFxb0wd2AzTNR6tjpiR+27XTleT0x2JeuDg4OC8NK90gtXR7XHqA/Gap+m0LY23TCuYICTmiwQcpVqLIIjdwfcT8iAI9XAhEADUnt8POnrnpDT7RSYrYjtyMd0GEa0EPrH8BAAANZTAJUei/anRASw+yCcRYQDA2TtF2vQDAEMNlpplr1tPC7f9k/j3qRyzy2AAAKxLhaXnAercgiFqoZfsiAG/LR1L+WiSNwtWAE0yUZdcfT8p+2fEoPpwTv9z156+xENvSyKCNYN7Sy/ffqkE0YrYvv3131sP035a87q/d5tJVGzYGvzZwtTVH47768BlqcyhrAcODg7OS/FK92B1dHucBoBgKkl2HjIpxCIkIaP8yo3HA3pFBPoI6bS63da9ugaotfqUTGmurMgpd9w2wsaLvZ9+tVOInbt0OtOzErLJZx6wGc1EMgCAU/TTtIGiIH9PAEBMhBgAkJ5T+lAdS+k1CYKparUqNSPPhsHnHunKmaNQfjTgg8o9lhT17VmxxkuPbmaTJ2GcTg3EA6ufiPUnZgz1FLpUyYzNnxbzw/6MClYkAACzqCm5PxtK7o0ZNbxfD++V3+4bOahrsz4frUeAj/7ek6YLLCWm5v+5/9KCOSOC/MTNGJXz3H5agtgQKhwV4KMX8M0AQGuXTl+2fs+G5TMrHaJwcHBwWoL2W7FoBTq6PU59YKgFUyZjaZtRi8Kdi+08eGVgr7C9/97W62sKM3q98crddJPZUlSq+PGfksMlk+SShW0Ys2MgyAbsrxJmF2vM9FDMqiaoH5MsBQRtmsZnybmHmtpj2EwaS3cLUPgAgFL+O78l9t2W0q9UsgLlRNceZmFGX3ioYFBQ2NqQqQ5Jca039/zCaWFCl5rmNgqZNH+CX7B2Eyd3Cy/nUBdftEdsr4E9vAEADDpVpWnP6WtD+HnpHiTwmnCiFbH9tP3MpVtJP3w2r62yK2mF4kQy70TJ4F0nZLMn5FcepFHJS94b+8WmQ20SEg4OzivCq5tgWc16EpXZPnfMvQws6b4A+Tp6xudU9740CrFMhZH5oQeeSkjeE/84cBX7r5uGwaDpzYT1W09+v+28ihYrVO33rNhMKTsK0HZq5AIAQFA7L5bVilx4rMEgUojupzkRT2Z0lQk1RyEyrxQNl8lrmtnFIu7b8a4UxWUAAIHlQxTGwC5dXnz/I5yuOcJVT2lLEEH/+sKAlfejGbdG9fV/8S4mg/bW2OD3RntyKd0mDgmdNiyg8vik+NjDp+42/hG3F4b2LT93rXFLe/efZi3+ctfIwV0/enOkkxpszc7RC4kZ+WqU4Y+SBL26ZRIINa1k7q68Ca/1/HH76TYJDAcH51Xg1V0izHx4NKDr2LaOornBUE3G4YiY6HJOgM5rAaX478KCXIv/OgJVGKj4+p35o2uPHdkvcGS/QJPZUlic6O/jTyBARaXyw1e/LuZMxxgBbfUIGkCtNWq1ehaLUftgalZpBWNIGDjx5rioyiNmBNmfctXM6PQ049jg2CpBoNwi5Z4rKov7dMeXgSCIVO8GN3bxlkGh5rjODfnlGU0wlfJcnhrg47Zt/yXHl26vDO9ftvDzqMG9pTDsuN3dYDT/uP0Mi0Hd9NnctkqtAAC5+WVXrt7kh8+0SXpxC7dMnFw3Ie7ayS+vUHro1J1J8bFtEiEODs7/b17dCpa8+JnAI6Kto2huIALWZfOT5AxU2B/ANAGpzISSBaU/Y4ieTLDaPYNKIQf6uVd+EXqIeR9ODXVX78ZsptaN2ylk7gu/O2n781i6XFmz3BYaIGabHmutNVlXpwBXqjEV4gRfL/L/fHfZ538kqDS6IqlGxhhAlx6BdNlNj0Cb2ifQENfZgZKFxM2YmlVXF8PbQ5hbWK/VdPvnjal5P+90nHafvvx46brds8b3nT9neBtmVwCAe2kaUvcf9ZLXMavWm6ci22u3mvBaz5yC8gcJWa0fHg4Ozv97XtEE6/+hPc5/EOgepuhtBpfhQPmwewDJZMLie3AwbXaOIaD0ef0nu0AQNC/eh1W8tRVCbSwQiaVzfz2NvfjItaLqgyQSUUBWSylxNx5XddjYMAw1lJKK9xpEE3WeC7Q+i87eKQ7yZDOK/2bq71H1D5scAFt1oU8XxzphBALWKUTzLPO5Mtjkkb2OnO7Aq4SdQtQuXMulm/UuFJZVqJas/duGoj+teUPi1sauw3q9MV3uQuBFAAC4ZX+N71/vq7bk3TEHT94pKm2o5Q4HBwenCbyiCdb/D3scVF+AmaTEpwup0uPP3UEgAwA4xvtSDTAJh117WAAIJD0zJq/Eqa3pXDZzRl8avWx/S8TcDMAUpalGWUOjM8gtPAs9/HRe9Lp9xVv/yd10IAeBOTBMJElPkeRXITIvW8bgsBgwiSb1XG10nVIzlaGAnv+zM21nGGollx3t7G110jk7fmDppZvPSRvwuUypvGNLA8wcn3/3Cf9JSl0bFhTF9h67+fueiys/mDhqcLfq4xaLVaVpA9e/9NyKzUeKNKJpAACgzegZYGbWbwQJQdCaj6es33LMaMJ9kXFwcJqTVzTB6tD2OPTy/ZKKHwJUm7zK11GTFy2cFtrfI41YchSgFkz5BNNUWfOiRE6KVGATjy3w3ETghLqo/+0S5mzRLtBbICLmt9gjeFmsurLqvwtL1ERLKTV1GVt/R0GNy7cESV0XkLQJBowdw3s4NSLFV7aOaC1fv+OxRTIVUJ8rwDBk/749jOJVsrT6SbMLQZviUbbuf31lo/rU9ZCuD7mK/KKLX8/OQR19NWr5gtQL1123/u0vV5Irj1y8WRI79h8B33v1wols5nN5THmF+qstF7YcybjzNN9qtS/DVo3JDOcUMP7c5/vZ92HHzjW9unz2Vv7O+24K72VVjXRk3t0UjV7fkDcOjUpe+cGEFd/sw5pRtB4HB+eV51VscpcVJXdcexyS6s4An/IBMR4AgNQc2t5jt20odP5OrkRQ6mpOCwuhafS2m0nKCq+VWtdZVedAEFF5d0g0qVGqPy5MW67NBMHtzqUYTfzMJOisVGl5XBYAIDxIHB4kXvOrkoAaIQJM1j0DVo3FpAeciNSCG64uptfjvS7eSruhHIGyo+tMRYFtHq68iADX0sJcK7DXt24zM8t29vLRDIkPhaBGdBSxmYhGV/fZHjm467qf/+ke1R43EDgJBIEl76Vn5jL/PupdUm6+92S70MX95PYp3/4WMrRvUuUYjc6QllNRLLcYjDamICCJtPzapTzasUQBQ8chR1qscGWnfOWzSaXajCYYAEAhoxI3Y58YWbC/9swVt/VbQj79X1pjw7uVUHytvIvV7T9xOwxlyQ+H+zCojvyk3YTc2RP6bfztxCfvjm54JA4ODo6TvIoJVuaDo93iF7d1FE2ErLzZf7RP5d9lUuXQAV0FPGb/GN9hvXxhQlU90o1H3vokAQh6/ncS6mY6HxMRZme6+gmSUB9kZ0Pc8OaKvFnAUAsqu2fFdI/TRIN61jSS9+zs8zALsTECDNxlAADA70ugSRT+Xx8pTDubcl3PmQUJa/InVvk+JlYCwUSlukyr5SoNEJa9A/D6AOJzmv6QNt1du2/Oa958rk9j46yQk2nUuiuPZBLRiiAWK0Imdez/O39vLYd1Qq4sP/JbvIDPAsA6oJf0801hCAJp9YYHSfkEeihGpAMCFSOQaZwyga8LBAsrVGUTB1/t2dlx5XjEgLKHiTyFvSpgw2QVaqz8/tU3ibJL02PRQJ9AZ86NDvfJK5Lu//fW1NFxjbooDg4Ojl069gd9E+jA9jjGQnb57kGdadWllAE9q745Xuv93BZ0Tw8h584TDahMsFBSxvdD+jVaKDLQR8BITjK2swQLIhAhuoeNHZGQlTMgBqvepza0h0fvSNPGo7s1Hu8BAADDGwBAVt+lah5oxK9DxJo9hgTNsziv4sE9fQAAZ26Zv9l+E3KJtURuBMYyAtMLQEQAAMAwWtm+7uLCUfHhjSpcVWI0wX/u9/3hs4QX73ptYJdz157WblTqcDxKytl5+OqMsX3mTa5xQRjRv3xE/3IAAIZhcqUGYAqrzWaxWG2ITa5FShVIuC+HToVcuC5OXiUqTL37H68P5jViRRVBkAqFCbCqXi+y4loA6X6gT7DzM4wdFvPDtlN3H2f07NKQDAcODg6OM7xyCVZ+8kXP0P5tHUVToCqv9Qwkdg4SmM0WCoXcwEgKmRQl0dzUZWLMQICYIj0M4UE+dcZgGHb1QX6p3MRikAZ2lzBesNBhM+kMrKih1pW2gQBHfE4v2Fzi+eaBc4emjXjOOsekzof4OShJCJFYAADEYiBYZJCpBGP+V8PAEBfl4UEjQytvjYjz6x3pevJ2MYex+0lCmt5ogiXDDZzBHNmBGf0Z/l52pESdYdcR74/ezLQrGRXbJWj5hr0dNMEqlSp/2n4mLNBj8+fz6ss7IQgS8Dm1j/g16Vqjh5Rs3e17/pptaD9npYD3n88uFc2vDgsCCIrZcvPLLj6SA5hCJyEhXvSwAFcataHlwoVvxK/auN/dle8lETQpcBwcHJwqXrkEq/DZ5d6Tvm7rKJqCyX3mBdmzG0duM40Plr415MUBWq1+/8XCoTFu3hJu12Dew8vXjcxAQKQXlJH2nM3QGayv9RCcvlvRLYQDIOKFJwY5eyRDeaEn21LfzjgeVS/DMND4Ek7LwvQwhH0LAEio6B6RkdEpqMqDRW+0jIoV5pbuAQgoU5A1RjiAr3zG7FGdXaFGKbVk35QhgtrJAYvFmDYsCAAQEy7Y+NvpEX75x86+JQiKQLEmZlcAgJwChp+XfWMcCII4bIZKo+eyGXYHtE+MJsuWXedMZuuy+eNYzHp35DUvs8dl9J3MSSnIXDDVleRoUdVgNGWqxJCkpjvezB+UaovLeHDHxukKkdnAZk648tlkAHeLkDQ81eqFk5Z8/feXi6cyGe2uAREHB6cD8WolWFaznkxldQB7HNltFGYSESVC9yMw/pPwwVCa4TGfLJ8wyH794+y9klTiNO6z/d4S7qGzCSySyGAsgWjuMt4UrfyqUTQx5/YdhD8vN/UGgKmIRz9a6f55g+jeEo/6ogj3oqSXZBLY7XG5BNY+4xnvuwlqghfy2UI+O7Zz1U0biur1wtRTVTIBZPmlzsw7Qyd6cNhMuxMKeBw//6Bjd3WE0I+yKBLb3YOB3s6uZ9Vh/PDiLzaFVVawZk3I95YYat87KT72yOl7b0wd2LTJWxm9ljIEAAAgAElEQVQMww6fvnvjfurCN+L9vBrnlvOSMBikNUvSVv0x0wpt/XBSYMNVW5lcZaDU3bkCwVRUOKAymyaXH3tnnLe3h9DhdUlEePmC8as27v9u1Zy21UrFwcHp0LxaCVbmw6P+Xce0dRQOQJWJbhW/De0XxWORs4ru38qAEbIQgZgWGzy5qzQiuN7KCp/NcC/bHj84BADw0bwBO4/c0SovGmmzMYafieEHAWATDYMAQITDAAAAQ91IWd6SkPpmAwDEdJJcST6qYn4MERqx/bB1oKkuc2k2q63effUwgbDrTL7JZSGEIZjV4Ee4PWloaMNzvj2pq0yu0hvTZaqki7dC84vpdXIjJ+nRWdGjswIAoDcQf9gW6O+tmzyyqNoIz9/b9c99Fyv/LqugHjrpYTDB08cUero35Votyu1H6ZVN3z9+8XrrX91ksiRmmRDA0UDeUoXOU1yveOmhi9nJpQxMVO82DsxYghadUKq7eNf7a+I5hC7st2cM2bD12LL545oQOQ4ODg541RIsefGzsLhZjse1HRhqBWSBhtrFzYXhJuJ6e4BAbzUMW8iw/Nj1Qi67oe+HQTHug2KqlkgwDHuWryP61LsaguryIr0drICQyaS3XhMeuba+GI2yiEa1q7VCnce7GRh68f63s+Pr9Q30dGNQlT9SSZDBaJv+mlO9QAIXrgAAbw/AYzOu3BbOnZT3MkEy6MiK91Nv3Bes2hhOp9mIRNRmg6gUFEV9Dp2yZuZ2gmFs7qR8GtX2699+dJpt/pysdvIcp2eX/LHvYrCf+w+fzWuTKs6NB6Wf/xJhJncf3Hvv2Gidp1hc38isvIrHyiir1/AGZoNQrE9MWKdQ59IrAAAAoQGSgmLfvw5cfn1Kx6g14uDgtDdeoQRLpyxh8hy0X7Q5kD4LSliJMl1JpK6VR7zEVS3Db42rq6DdADYUZTEZKpdBNYdM5Yzs9bqAVRCFDwCA6OLMYnMfR83WbkLO/ImcnMLS3Vd/1Hh92JiH0sJARAgCOktDDctj+jqrC/oiZRVUN2HzGDL2iZH1iZFV31RpSOeuDblw49T6TxnVMgRL3kt/ksJdsjZyw7Kk6lpXmyBTaLfsOsegU75eMq1RwmnNBYIgRy8Urt0SO2figxFxie6uXDar3uwKw7Bz90stwjcd5IAMSXoZMZ7QOF3lYf2if9l59uqdlP6x7WsvLQ4OTofgFVJyT793IChmYltH4QhWKNbtV5jM2HexvKDEsXWgXdJzpZ/tyFdL3q05hOiF5Vv6RAlQU9U3PQTT8gyeCpXWmQn9PF0m9SJRyo42LZ6WQ26kP07Kyy8qczy0kSSmcqLCmvj8NwyXbZ0yysBlF9UReeocrpoUX7T3mGOvwxZCpdGv++WfP/ZdXPhm/Mdvj2qT7Mpssf59Im3d9jHvzLr90RzPkAAJm1XvbgC1Vr/h79Q8xkxnlrCNWFN2FcyfM/zizcSsvOZ/g7UOiM2xDRQODk4L8QolWAaNtEPY40AUF5gTaLUBCEIbe25mTuEPO68fvqE2ByzGmDXN6eSK06N7cu7l0mFOzUG96+Sdp/MUSk1qdrnDmUP9Rd1EmbAmsbEhtRCYRcMu3IShyPFrOfvPPNt17F7z+pxotCQOy9qME9bBrm1O9yiFWkv6cnNoK1u26A3mTX+eXP/LsbmT+i+bP47dWvsEX+TU9czDT9/u1uXpnFGO3XJ2nSms8FhS+33eAE3+pPvso8mb/zql0tjfFtqeUWn01+4ko2ijP0ZwcHCahVdlibCiIEHoFdXWUTgBhqCabJ7t2YKpveBGrmggCLL9vMriuxJQRXXuwiiuex+ojR5zax+EYGoxd96mszcgQ/Eaf8cbxMYN8Ned/OeWpaJRUbUQJNWtt4bSxSIXANwBACevpu44enfu+J5N0AW1i94IU8gt+M0UP6jL2p+P1rHNgSAwf0720xTuym8jYBjrHqUYNbi05WIAAFisyK7D15LSCj5847VW3iRol1H9grYdTGF2tuoNJvoL2my1MVusMsTNeSsnA8bLySvz82n0TywSEf5i0ZTV3x34ftUcIrGdbkAuLZdpNHoTQvB253I5LACATm9a+e3+3jFhhEZ+jODg4DQXr8r/Xtaj4/5dOoDLGFx+ujthR0yEBGp8DYNIJHI4rBezKwCAld/X6PFmlUx5bRg+BrepPIazeTYBJqKEthBwwlBUk02UnqGX7CArrgIAMIiEIDXLHyP7hwZ4i3/4Myd6+JC/DvioNKSi0qaXYYrLaGQSZlcptLmgkEkoilkROys40eGqr5ckr/k4xWiCV3wT0UIBmC3W3/ZcWL3xQN8eYZu/mNcesisAAIlEfHNSftZTIHRx0HGYll2mozdCr9XgNvHXS2hOQVN+HvC5zPmzh3/9U7tbIs8ukG0/kf79gZzN1zy3JvbdkT7su4N5ViuiN5g/Xb/ns4WT2mSdFwcHp5JXooLVgexxCESGTAv1FPEIcFNyXy4NbewXCLfk9xnDnf1Zz2MQAWi9rg7MZoRgGqTP8dL8FR3ADfBi8bnsS/fvX0lPoRqSnmT4eLrXZJN9uvn06QbmTLp28KTHtv2+XLY1r4huMsMfzMtqrAKCVE550Umw2RneP/rs1ScNqLpPHln0JLkROxucxGJFDp64nZxeOHdy/3dm2FGsbWMICrOlGwCKhkc9ydJD3EZknxBEYpONIpdGe0ZVEuzv3jsmZNv+y+1KwOzCvaJSizeEmTE6k+jSHbOoBSYCYkM/+XrXqg8nCl3q3WCLg4PTCrwSCVZ+8gWv0AGOx7UDrIJBhWqXgxcPDeom7hbe6OUMDg3BEANEbEQqiWEokehsMjeoh+fG7VcbG1UTQW0gYQWIXs9RnXlvSqdqufneUa4XLh2ZO3dwcpb0xZP4XMu7M3OqbxpN8KY/A5Vqct8eFT07K5gMxJnMqXO4Sq0hLVoTNX5Ece/uMofjm0Zct5CV3+5r2DaHRGrOKprJbN15+GpeoXTOpP4zx/dtxpmbERaNjGEOLJo2/HldbzCAqEZ8fNFL98wYwGMyml7XHBTXadeRa5duJQ2K69TkSZqXdyZGoRgGEwiJGYmn798kYOZ54wKWb9i78oOJYlETU0kcHJzmom0SLBRFC55dZXnGuUhaY/9z4bMrvSevbYULNQsoJ7qCHXX20bePM7OYVNvQGHcBn+Xkua48ElYhg5hejbgcgQoBx81Gh07eeZZZjAIij6LB9LkQw9f5SzgLhqGGQkCgwro0zKJCWeFUj4Go+imNZKtt5sNmMb5ZMYNEhH29HfdB06i25QvSAABXbgv3/eup0xPVWtK8yXkh/g62T/aPrejXs+LPfb5SGWX8iOKXfGT1wWTQGrbNQVFgMsNUysuW03R607YDl8ukyrmTBgS3w6pVLQqlJphEBaChHAtlBukq7jnzs4AmO8u0ZtowECgy+no0zRexhtkT+n32/QFPsSDIz45yhNFkRlGMTCaRiHCFXFVUpg0PdCO35CIdBEEwBAEAIoPEkUFiixVZunb34ndGu7vi2RUOTtvTNgkWgUDwDOknzXuSfH1HUPcJ4oCeLXctq1lPprEhqEN1m0GQynuJXnGTVP5Ydynj7UldnTyvVGGBaPWYgWAosPckuNPKeZyG9NwrmTQyFgBw7WHBhVvJ/oiqmdu/jeWU8qNmG5FsKYNJZAGbwGJYg9wzQ304j9NTz115cOtJXFznGg0zUuN7jQf0qhjQqwIAYLNBi9ZEbVie5DBrgSDw1vTczzeFtVyC5dA2Z9b4gr8O+PxvdnaTL6HRGf86cDm/qGL+nOEBjW/xbn3iIlm/79I24GguU6qNKAM1Kxz9S6OYzYwVH4dY9CWzY+wabqI2tPZavFZnOHOnSKknQpiFQoIhYKVSYCaN5ONK9vMSUSlkAMDqDyctWrNz1YcTa//seZJacumJVg3EGJFDQUqpBLMS8jNRYlwenxkTy4oIsNMW2exYrMjir3YtemuUxK1eyXscHJzWpM2WCCECHNpzZkjstPR7B9PvH/LpNMwnYkhLaIVnPjjSIdrb60CWnxvmldIryp1EclynqcZsxSCqvX1ViF5UsBoDRKnnSohU88UAa5+VFORgWLCTm+/6dfOKCpbQDCl6TmfHo51En0c0FyOcLjBEcjedmDlMxOfWRDisF7d3tLgZJRhgGJs+tuDCDZGTG/QMRthmg1qo4b22bY5dgv21Ow97my2EJmxpLCyRbz94hUCA3po+2FXAeYkwWxWTOTAmWteA8+DFe8VaxiS6P2qpZwCGWlilO91p5eU6mirie9eKbyAIyskryyoxAgB6dxZX7k+8+jD/cjLgMAgcksGVTyyVW4uNYp3wPYhXq/yD6DGDGSTlMB4mU4GSBFvJMOYd2mvcgm0jRk+yISgAAAMEHSMGlcRWxQ+AGgAAAAEAJS9y75NTIelPpg0NcOhX/TJYrMiSr//++O1R3hLHZos4ODitQxv3YEEEOCR2WkjstOKMmzcPr2QLfMJ6zyKSmtPEXl6SGtZ7djNO2DowNHf7dWv0+qmYT07WSiFa3R1hGIoEeAmGxLiv+el1uvdwDlmHogiHpMvMypB4Czb8fmbp2yOczLFcBYxYr9JL8mcou17rt0aAYSD7N2vIEshq6EbYNnWMnYfMoDfn+wEAEBmq/mFboJMJ1utT8hatidr8xVMAAIpC2fmMknIaj2OJDFU3SzA+nqKcgvIGNvH17SF7lMTr1VXu/JyJqfm7/7nOYTHenzeCx2mLXZ9NJSOHtf2g7/cr7cutmc2Wk1fTyiqMbOyy3nt+fZNwS39fEM/gcUJ+PJKnr7gEEM36faVKajeM4QtQ7N7RY+7MfDNCKEEjTL6jDACUAvDMWEHguwDwgisQkQERGYDCN4ButTdKhE6Ycfzyb30mr3P4iCyi+ERjt6L92yb25gT5tshWTYsV+eSrvxe+GY9nVzg47Yr20uQuCeotCeotzX96558vGBy38D5zKfRm+M3dIexxXgCllewZ2KUp28eEHCImk7+YYEFkTkI+M3HbhchwvwlDKXRa1XMrV3qzmVSTydwo+aihsT4P9l9WNUeCRSv6AxH3tZJ5tILf46f6vPyETl2UajNbnF0yDvHXdumkXPFNBAxjBALm7613dzXeuC8oq6AO7etYoNUhk0f2+nPfpU/erbfIKuCbi8ucas3GMOzCjcTz1xOiwny+XjK9CQupbUtGDmvHIe+NKxNfrBeevZWVV6wt0TJhTYaO2YNizqJnrjX4fgiIz6ePGEYpP+7voudx3AAAAa62fE1UPm0oIJABAJVvcTVj/oupMYHauNSELfDxi45PuPxr1MB3HY+muSo8l21/dNb1/qPJA93dhc25uc9ssS7fsPeTd0d7iF2acVocHJyXp70kWJWIvKNF3tFaeeGT8z+iKBLaaybPLfBlJky/dyA0dnpzhdcKEDSJ5Jyf3AXUcN9u5RWK7cefvdbXPzKoXi+2OhjNKCDYt+cz0TuN7oTEdX7OicWFxwQANHbxAoIgJqxvFh8Za8k1LGwZKe0rg6Ywt5AcGdIaUhoaHYnYmCW/ORPz6xwZ2Ev67rIunULUXLa1VEr182q6zDePw2jYsOjyLdEbU3MbnsRgNO/550Z6TsnQvlHfrpjVXGqrLUFeoTQhQzZ6YGidIC1Wwk87/DetTqiTXZnMlgcppclp+aWeXwNKKVGejMge2yK/ZkgPkp7ORwW9bR7TwX/bZqnSo3N7SAN8/Ctvil0osDQPZbSI+5AkqLe6Ijc34Yxv1AjHoyHIKhxRhA3bdmbDRxNIL7OZsTYGo3nJ2t3L5o/D+65wcNoh8Oeff976V3306FF2OeB62O/dptA5HiH9xAGxBckXkq//hdqsfLegprVnZT/+N6DrmJcLtlWBjfmWigQbgXb91sOE9DK+QMyikX3cnfrJi6LYwSslBuGYF58rRunuzux7ZAoZAwQe+6VW3K7eTcGI7CR9FxvVEzVJAYEIEZqepjNBGd/yyGZSW8LXylP/NVpRX0nzKz/V4Zutwe/MyGHQm741D4JAVKj65CXxzfvC0nLqP2clA3pVNDmr0epMWp3R7nekSkO6dk8YP7BeL7xSqfK33RfOXUsYObjrjHF9/L3d2nN2BQDgchi5hfJ9J+50i/CqvcNuzebQ92bluPDqNlZt+PPm41KhiRZMl5/2IdyhMVg0oomhvy/mU+hMjk3+yJJziKx9ghCoADF5Y1eH9apy+L6XWHIykWJ2ndByj0XoFZV+dz+VwadznFv7gyATvZO+4FKEfzNUmyqzq+ULxjeQXd1LyKdxJVFRHcHEAgfn/x3tq4JVGyKJGho3M7TXjLykc9cPLOWI/EJjp5Npjaiudxh7nGowjF52YM60rt4SHgCxjT37YXKRlDX2xa2CmFVnk956DAaYbN0jy3b5SV5q7dVgNF98RrZ49+fnr+kSQFfrEZ0GUZlpMnKsld+7kZOhnmzVvFHhp27k3lBmFnl8iWX/MLD7y0TnFGYLQSQwv+QkXhJDteDWiYviG/cFfXs0UTGr0jYnJjrgxbvW/RLyyTsZLx7HMOzqnZRz1xLErrw3pw1qQOihCRhN8ImL4tguCj7XkltIDw3QwjCGopDZQmgW/dUR/UJc+MzNO68s/99rlUcycuR+3tm+nnZelMnD/DEA5ZeX9IkOVmoMYhFXrTFSqcT/NMojdhxPStRGoynfw5jpjU9nlVeoH6bLdTpjoqaLWTLq5aNtmB5jVlzds6jH6OV0tlNbBSEyt0Jmv8bcKLQ647INe1d/OFHUcbYv4OC8arTfBKsKCPKJHO4TOVynLE688ofJoAyOmeRk2pT16Fi3+E9aOsBmgVp+nIelqTAfFovuLWmihs2THCPGs/PMQCSmKWorAIAAgFr6smsTNCqls6c2teDrWcMkHm41od588vB8WpbBfa7zU6EmuYhLAgD0jOA/OnFVw+miNxP+uZQ6ZkAI4YVu42ZEpqCcuCgeOai0uWo9g+Kkm/8K9HQ3Pk7iDu1bzmIijTqdTCIiiM1iRci11mpNZnjtzyGjh5QI+M+lHRqd8eCJ288yi2K7Bn29ZBrcJMX/Bsgvpn/7a/DrU3IPnPCwIgRfT/3RMx4yJZlBQ7Lzma5CU4CPnkxChS7m/j0r6sTmPDGdPO4+zjl0PmVIT++ULPnR07cXvz0UgJq6TmqOTKbQFkl1SeWingGm0X38AABiKhkAwGE/9x6ePDRQkpDp23uAuytPq9P/eMpgEr+OAZTg2hriCBBE6D3xq+sHlvaf8T1MdCpzsqIv+6mr0uhXbdz/+UeTnVfIw8HBaX3afYL1H0yepNtrH9sQc/q9g6m39wo8I4K6TySS600XMAxFUVuHsMcBiJ6quOgf7M4ip4lFTfxWUOsM5QYucJSbUYnWps1fDQSBsQMDxr5wvHdnDzqlaH/6fZQf4+RUmLFCLIEBALvOFmkkn5Dll8QcS2JyVrgPM8i/RfpmKtn0WcLdx/yFn0dHh6tyCxkEAmY0wUP7lg+KsyMN7wx0mg1FodOX3bpFKr/5NRgAMLx/WVy3Ruz7ix/Y9ezVp6OHVKm6l8uoX2wKXfxORu3urgcJWcfPP6DTKDPG9Xlz2qA6M1gRwvaDPsVlVJgArAiEolCvbvL4gY3wirbZoFUbw5kM5PvVCWQS2iXCTped2UJITOVI3EwyBfnb34JmT8gPD9I4f4lKsgvlHiJWvxjvHffdHx8zoBpFYGikWFSTXeUUyvfdJetY4wCJTfAVlMkb2qxHp1GH9KxSEC0pkxlZvQhUQWuukpKozB6jV9w5+oWTasZW9KU2H0hl6i9/PPz1kulsZvM0cuHg4LQQHSbBqgQmUsLiZgEAFCVpj879YDXpgmImirztaDLlJ1/wCmtHrmENQWSofD97kLPdk60fFOdsP3ttNDrD1qM5ao+lDr9XKmTNIy5gl+hg93+fPNE5nWCRkHIhjwYAoNPIZOX1IV4pYX4ev2Qne7i37G5zGtU2oFdFt0hlhYIyb3Je5cFPvo6MDlO92APkJCveT638o0dnBYaB3/f63XogGNK3PCxQ44yEVWzXoBXf7KtOsLb+7ffN8iQmAwH/lawycku6RwWsXjiJbG9HAoJAi7+MfGt6TkRwTbpz9Ixk1cZwCAIIAlVG1aOzQiwymcywyUzgsp9LtZPSOOevu44ZWtKjc0MmgBQy2j1KCQBwdzWGBqYs+brTps8SHD66Opy+mW8wY0o9kc0mM0zJc6d0FQlruohOXMu7XyY2uk8nQBAAgCC/HRvhbGNASr4Zordgal4fTJ57YPcJT87/1Hno+w4H215C1K1Uqlz789F1S2cwGc2sXYKDg9PsdLAEqxq+e0gP92WI1ZR5/3DanX08t6DgHpNrd2h1IHscWJsciBydNTOAQnHWf8ZktthsaLFUk5UvZzGowT5cM0KAYEe/aNXP+nZpQS1vAkyAQSNWxxiWTDcRHwCAWIxQ4d48yO3yzcdzJg6o1IFsaVhMpPZa3qoPU9f9HBwZqp46uvAllw4hCLwzI0cqo9x8IDhzxU2hIr8/L8tb4sBwms2qss3594K7q8DMoFuv30s9e/Upk0GdPtZOyao267eELJibFeirq31w/IjiSg16mw16nMwFABw44ZlfRGezrAyaTaEi02k2nQG2WglUii0iWOPnpW84u6oDiYhOHlm0bH3E54ueOa+DqlRpDVZqhevr5NRVFECVgvCkbEUsk04iEq0IcvpWwUPdYMTtvxzdZnY1XewU5KwgSEYpEXJvyk+Ul8fVt6tGlpf16LjDXTUcchP3nOYVVfzw58lvV8ymUlrQfgcHB6e56KgJViVVjfAAaOQFyde361Wl7kFxvpEjbIi5A9njkEz5TCaxsLQit8yikJWPH969YQWjHSfScvU+CEaCAMtC8EfovrTsJLOrA4M5SJftaTjYp0sLmj+WSuUGso+zo1GbgCQlkfgAgPmTIzVa/4S00m6dfAK820Yskc20rvs0+fx117+Pes+eUFeXoQmIBObK/MZiJSzfELGxHvHMaqaMijtw4l6ZdIHELcNsOf5/7J1nXBTX18fvzPbeWFhg6R0EpIm9YO9GY40m6j/FGE1imokaTUxMMZYU05sxiZrYYjf2LooFUHrvbXsvU54XGESkLLDLLj7zfeEHdu/cOeACZ8895/d7bX3DwMSw9a/PJnckZ4WikBWBWmRXzSGR8MayU+O/jWAYZEUgAEAXNOKbGJAgd3czf7Qt/P3Xsm1Zn3av5uAdmsn7dUBmmeN+sMAUUtqi87e4p64WkEXxgMY3s5/EBaFN63k13z87xc/GYO7m1RhQZ2YeIUkz0o5urC+702pNvRHMUBki6coRYXZB5fY95zatebrD1wMBAYGL0LsTrCa4It/4sa/gOFaRc/7qvrXK2vyoIQudHZStmMQTbxgT0g5u9eIji6f2eTS7ysirLajUzUgJ2v1vYZmKrWJNRjwfNLPDAJi5oaAtcJykuCoyX42Uggnjoxw6w38jS2nhz7LxBrT6g5MGP8iluBzWkKRWxuh6mDFD637f77f5h9DXn29ldq9rUCnY6CF1W34MffV/BTDc5vGQyeT28de544a9J3EXPPPkcNsV2DNzecl9O1F5agSGcRrVDv4/QX66iGDtgRPe40fUtm/vWFAmO3yXY/Jd2PgpqeYfa/FfVrOWLghBfF5AeC3LVLhVEyjU8jg2WUXtO1uUpohHfJzsY5004c0Lu99k8SQsfuuFNKb6QvKgTr+FuH6n4OjZ25+8Pd+hwx8EBAT25TFJsBqBINg3MsU3MuX8ztdNBuXlv1cxuO5hyTNdX8ydbChkkLQmUuD6rbtXvDDd1+tBwy+GYpXVsuu1ffJ2VqoEM3FPm7MQk4wr/1tIVQ+PYfcJtfXwsTvUKBFIZNMIJG6oiOTk+HmHNX56+x7/QqrYW2IsqWCZTCSLFV40qzTYv82SjENZML3s2FnJO5/06ddXOTS5octdWc0ZO6zOw838ynuxn7x9j8V8cC5pReDf9khOX7lVUXVPwGM8Pd1j4azB7djmtEpclCrOgXXJjpkzpWL1xj430gUBvobn5xW3texukVIveqEpQcC8Z5I8JpDIrLYOzOjyf8eOselEu7hCfksWiXRUxO0JIGjQjA8u7Hpj6NzPHp2wwS1KH0oxjxvRqS3PXr137Vb++tdn2y9KAgKCnuCxSrAa0SmreeKAxl54g7ouP22vTlHFcw8MTnyCwXZRNwlMNFgvGghnr5g4dnCD0ugtwVRqbYNcezZdozYzVLShuDRF2fE2DyEo/+iNZ5Jo1J4YVrci6NX0qgpgm4YVjhvSzuazph2mqmrqGYWlrLgo1cKZZaWVrMwcPpmM4TjY8FW4RGyaM6UiNtKBXfltMSGlduTg+qx87uYfQtksJDZS3eo4nslMqqxh2JgI9o1Svftyzrbfgla+mAcAQFHsfGrWFz9XiQTIiv+FJceNBgAo1fr2bXNclg1v3QMAvLKu74ur4qNCNYkxiv7xLYtqSWHc69fSUXGz0RNye1U6EVTmJvBv+lStMxSWNEg9OB7uLXU1j6XKLR7Pde8rsBtkKqP/tHev7FkzfN7mFpK/TNnxeZN8O7XbgRM3auqVq5dPt2uMBAQEPcFjmGDlpe4OH3jfHofJ8+g76iUAgLq+OOvir0adnO8RHJLwBJ3tgs4SsM5j3lGZgFKnPJh+B6F4mkixsDAakLooS0hi+9KoPdSS8tuB24XQKERsUwkB1+aixuDYJI2Xh6lvpDq7gHMzU/jNDjYM468sLhCL7ksroSj0w87Ai9fFyxYW9rw4OY2KxfdRxfdRGYykfcel56+Jhw9oeGQN+t0fgbMnVzTvbWoHdzdzXQP5+Lmcq7cyUBQoVGMmpExeMr+0aYGAx5IpNTiOu7gae1t88X66yUzKyOYdPu15N5cXGarxlpi4bKveQPbxMoiEPKq12mjbVizfsCsAACAASURBVLhF4yO0XrpTdS3XTKFQKcCsstAVrPGMzJsToqoG9X2oJm2FWAC4UMMliyeJHLzg5vHNiRPeaP44E6/mcPxt3+fHnad5XObSp8faOT4CAoIe4TFMsIxaGYvX8mSB5x7Y+MtOVVd47+IvRp2c7x4UFD/FRv3lngEXJZMAwAAwCJNBt/9i6GhRB8/fDvZinrilMgJBrKd6zIAAGo3a6mIEQcjkli+GBjmtKd1pi+zCuqxSlcJIQbwH2RIVXXacrLgs8ldw2LMOnvRCEGhwkqxJ46A5JBL+4oKivcekB096TRtbbcvmjoDJQBOilTczWzn6hCCwaU3mO5/0UWspowa3p6FlRdALqVkXUrNxnLTr4OhfNoXqDPStP4UumZ/VYmX/uNC0jKJWVd17BXQamhynSI5T5BVxSiuZZ6+IaxvoBgP51WcLhHwcQm3tFcPNsjK5Ml3d1+z1wOkPBsDMjzx577u4MFPzUVMEs0MzmX1x94vTyMpyU3eH95/T+AhuqIz26YQO/sZvD/aN8h8ztGNRZQzFth/NI8Pg6UmdO3wkICBwKI9bglVflt6+zjvfI7gx09LIyvKu/61TVFLpnJB+Two9w3oqxh7CJBp9WR9w5V4D5pUMAHyh8lD5X0cGJ4XHhPu0KJCUVCr+PHDhrRcmUamUo2c9EQS6k8XX6cklFax9319r5xYqje73Q7cs0VsgXzaAOn4t4VadyaBjwCytpgqQUte/3rGT95MTKl9bH+vEBAsA8OcB31XLctt69uO37638OLrVBMtospy+nJmRXWa2WPv1DV776kwKmfTupigyOYvPtfp6GU5d8hg9pK75Je3Y5nSHH3YGjh1W26FUhB0JC9KGBd03sVaqqd/+HqjWQFb3eza+bYA5gbWcja0+pRNMuJK+e/SA++KiGp1BjTln8rR9ghOm3Tq+paYw1TO4PwCAr/xnzEibzgcRBF27+a9pY/vZ+DL4+0zhPXTyINbxboVLQEBgbx63BKvo9kEb7XG4bn5xo5cBAAya+sJbB7Mv76DQWL5RIyWBSb1F36FDcFYwzrr/Oxp271+mZpfksPzvHl86IxImwQCAK+kV6cXmwruXX312aqPzbkSwpkFOW7M8h0zGM7J527YHz5tWXlbFjItqRdebz2XHhEtvYogt2RUAgFu4etpQnwYN6dgpVdrdyqGJ/rYcYroJzRYrTKV0XU2gmwxOkr25IZrHsb4wv8Rf2kpPdovpueo65dEzt8qqGhh02thhsZNGJjRltFn5XH/p/Sznf3NKqutaSpe1aptjly/h+h1hTyZYzRHwLKuW5ZZV1n59rU/3/xchtm9uNWg6jT5ysczAf8E1f2ITxr92cfdbbIE3h2aN8tRRqe317FfVMlQair+04Z1P/1z2zPjQQJsEve4W1t9Vx7LQrBHxnZuNICAgcDSPVYLVNXscJtc9ZsRzAACrxVCedebqvnUAALFvrH/0mE55S7s4GNUdiFMAAKV6zy//+i4xTJhVpi+GJzIMacsWTW4yQAz01TfZs8RGqn/f77d6Y58gP11ahnDamKrv/ww8f038PogM9tfJVL83mJhWyTRI6GZLALhFpQeev+27wnfztBqVFh3Jxhxi7LC6P/b7Lp5d2pUv2x6MH1E7bnitSkP9aFv4zImV/foqrAhMJmFNdUCFimq1gjtZhacvZ+oNZqmnaEJKnJ/3g7IKjoMtP4ZGhmiOnvVsLn3u5dFKS9KElPh/L6RPHpVoxy+BRsXMFifrJxVWGhF2sF0yIaWe/M+5Ah6bkl9pLoNGwAIXOuhvwaAZ66/8NPnFuYOfGN6BXCqLifzyN0eu2Llm+QzbLZxLq3WwMo3JcRMKHKghTEBA0AUeqwSrm/Y4FCozKG5yUNxkgOP15enpZ761mLRUOscvaqS7f/xjU9YCLN9Kxgfl1SUQx42mTp2WiAb5tnnCsnHVXRwHJBJ+7Kzk46/D176ag2INq5fnFJezvT2H/nIoW25Ix/X3aCSzxWLV+b0KWuvOxq1aTt0fkWLlkCeERtOoqgZj5JwECoViYyt3QrRy5z8+lTUMqaeNHdL2B4KAgGfZuCpz+x7/o2clMATkKurgJFl5lfrctXSR4J/1X5iSYoNfWTyRxWxlKAGCwHPzSjKyeetezaaQOyjiDEwIW/PZLnsnWKhc2Xr7XY9RWG2ARTaJWnWIxu+1SxYlXq+F+J4Q7KKy5pimgK27KoSrF6yZsOvgeXxyZPuv98xc2ckLu4/9NofTGZPBAC/29dowDZl//vqVQG+ur5RIswgIXIXHKsGqzLkwaOaHdtgIgtz94hrlmC1GTVnWmcJbB3Ec43sE+0amcN1slZZ2Kdj1f3tSSqgwggFYY6KorGxcjfeV6vqGtyeR1SSMOSGldkJKbePHZDIeGqgFAFo+OwrFMBzHySTSjqM5mRAOQMu/IRTlJT/03FNT/Tns+2lcYOe/f2tfzXlrQ/T3n9zu9JV2BYLAolmleoP5clpO6u2CY2fJgb68rWsjQgMfNb9uCZdtHdJPZuONOOz7tjkdrsRx8PnPIcsWFjXP23bs8ysqYwEAmAwUQWCzBYYg/JXFhTbe3RFk5NeVYUl2nPWDqAKIapPomhNA9G5VGwdHceIjJUxGCACAThux8buDby9t83Vy7Xb+mx9Unv3rSRazEw37ReXyv1NJJp+pAIAjVQwoJ/2V0XVSb+KskIDAJXh8EiyrWU+hs+1eZ6IyuCGJT4QkPgEA0Cmrqwuu3Lv4q8WoEXqFB8RO4Ail9r2dQ8BxTJ0byimYN+5BIz+KYTiGkcnd7Q4mwTAAoF6mrmqwAvZD33wcMfBqfhoTg/ePsdVLri14HOuw/rJ7edzmZsY9CYKgGTll569lNcg1NBp5SL+It1+a5jgVjCcnDNh7NLV9/8FGDp70olGxP/b7NrpWZ+bwDp3y6hulenpGGYpCGh2FRkWZjE4MrzkCuVJ99IbO4jPBuWH0FBiv6stlM4LZrAeFqMgQaXmV7Ne/zy2aNeLRC/YeS911EHy5/kkWsxOK/CazZdcFlcHnrfufi/ohgKw3nu9W7AQEBPbj8Umw8m/s7dBmtZuwBV6h/WaG9psJcFxenV1484BB2wAAEEpCvcOHckWdkxDsMbiVX6VEWJNjgpo/SIJhANsnGT1+tfxqmbvBb01j8Qo3VDBVF3hwnQfHNG2aD4fduZa4tpiQUvPupqjPVt9t34/FjugN5mu3826kFxpNFhqVkhwX8uKCMUxGF2XJOkWQn8dPu053uAzDoPPXxJ+/l7Hhq4gfdgZW19F9PI0vLihqVJ8nkXABzw4y9N2kulb25TGL1felXint1XmYVb8+M0rUPLtqZNzwvtu2nzh/LWv4gId097//89SNdP95U4cnx1V16kb7zpYoJUshCAI4Tq/82ciMZ6vPu4lsbd4iICBwNI9PgqWoyY0a8kwP3QyCRN5RIu+o/26dV3b3pEZWBiCIxfPwChnoJo2GSa7xvcVxMVM/OKFjQYQWaLR6DpvZfptUTb3q39SaEo3Y6DO/cR2jfl+8W/6YKVIWy84HqXyu9e2leZu+D13zciuiWfaiqlZx7Xb+vbxyDMOZDNrAhNDXnptMpzmhy8ffx724vK4d2xyTmbT+84jnnyoBAKxenlNczhLwrK6QUbWAy2HRgNIKXE6qyhFQ5WfGR+p8vVr35lq2cNyaz3ZJPUXB/hIAAIKgqz7dW1o5/dVnJQMTOpddAQCoFBggFoCaGdU7nhqI6PTnQvzdeBxbLSwJCAgcjWskAd1Gp6x24mmd0DOsSUZLr66tKUwtun0YwxASieLmE+0RkOi82DB2xdfjR3TFIOiPQzcbLB5iLjwqgScRsYvKFTVKKw5IcoXWZLLUyjSHrsob0ACjZBXg/Teepi0a4lUwZlCnkzkb8ZYYPdxMpy+7t6/q2Sn0BvOdrJKbmUVKtQ7HgdRTNCA+9Imx/UgkJ880zJo0sB3bnIpq5kfbwt9+KbdJeaFp9tPVYLMYK570/P7g1gbvlV22JegdIHo//OqAvu2pfa5bMWvF+9s/fHMOjoO3Nuw0mt/6ZoPBTSjvwt0SQ1ipp//xY9fMGiP1cHdFJTACgv/nPCYJVl7q7oiBTzk7CgAAYPEkwQnTghOmAQAwFGmoyCxJP6pVVAIAyBS62DfW3T+eLbDPLFUH4Di34svFY1hSj5a9wDKl7sTVqjo9XWdl0iHdkChacrQEx/HqWsWu09Vkhsiga4AtuJ83KLZE/3KTSULkRvooiOULcPRWXe5H+81Wio/V/XnwcMcbzXA3cZBjB+afm1fyy1/+73zS56Vniro2VGgwmjNzym7dLa5tUAEAWEx6XJT/0zOGCflsewfbLdq3zckrZk8cWeMsXatOodJQDp6MoprDofzdeERP1Zh7HhxnV/0w74kO+gQoZNL612e/+t52NpMucX9/yXy5m7ADs4S28JF6TI0tG5IQ1UuNlQgIHnsekwTLqJUxeS43OwOTyB7+8R7+8Y2fIlZTQ3lG0Z1DOkUVgCAYJvE9gsW+sULPMJhk70MozCKo+HT2cMmj2RUA4LfjlTWSNwGbBgDQAnC45OKZzOsozGVBKhVnhFWUAnErhQ07dBqlke2L82OR5tNfDG+D96JW7wnhVgrZ4WJLi2eXmi3wJ1+Hr1uRbcv66jplRnbp3dxyrd4IQRCTQYsO950xob9EzHd0qN2kLducY2clecUc504F2kh1HePTb8JeXlxIpWDf7oHMmAWCnawW4QhwYzWv/o95w3gcG07oMrJLmQyaUMCWelK//zNwxbMFXTvYJZNIQxMDu3AhAQFBz/A4JFgd2uO4CGQK3TMo2TMoufFTHMdUdYX1ZemFNw9gGILjOJlCF0hC3aRRPPcgErnrf4dwxCCo3PriFB+hgI3jeL1MpdYajAgpNlQCAFCqtHI4tPlhjVUwVC0YCgDQNe3AkMp9V8lRc6fOdCCAwnZqnG8fGhVrUNB0ejKbhbR4qqZemV1QmZVfIVNoIQjgOPCWCGPC/ZY+PZbNore6m8vSlm1O6h3R+tdbmhi6Jl/+EvzRyntMBvLPv97Kek+u/BIq7ng0sreAoybcUC1UH+rjZRo/x8+WqdJf/jqr0hi+2fDsxevZBSU/vf782C9/CX73FQe2FRIQEDiLxyHBst0ex6WAIFggCRVIQpseQRGLoia3oTyz4OYBFDE3rmHyPASSUL57IEfoA8Ed1IdwUz1bfkREqlr8pD+ZTPr9aH6Zmq2nBFtI7nS09mbO7fnjQw5dqjCLXrHpUOG/7IpDVuMWHUfoCUNwoI9QRNNS6ayq4ts+wYn1VblWZvh/t0chuIdOK95bkf3yOp+k2Nvnr6m0+vKk2FoIgiAASdz54UHeT00bIhJweiYSx9GWbQ6K9oIjoQY5bcNX4VNGV5+9Kj5z2X3KmJpvN1R9uruiATwWCZa+TKTY5e9m9RAzh4yT2lK4RRB0y49HEmICFw+KBgAMTY4srWz4+3AeijmqZ5GAgMC59PoEC8dQFLV21h7HNSGRqWKfGLFPTPMHDeo6RU1eRc4FraICQ+8XbMgUOkco5bj5cUU+LL5XU7mLX/ZJQrgwOdpbpTdvPyFXSpZA3kIAAASAGYBs88BNe3boWcMhaudmuZHsLSHBQTNHztyxY0cQX86p+83X1y/z9t7RoXOsqrv1/yVYCE7R6tVMhp0LRfUydWWtvKJaXl4lk6u0TY/3CePJlSHvvMSWq6YpVKyZEyvte19XYGJKwonz6VNGP1B1N5pITrRlbJ9Dp7zSs/jjhtc2KGiXrrtV1DA3/xjmLTGymcil625nr4hlejLbJoc9l6SxoKvN56tPRHsZJs4NIJNsPRBXqHRrPtv1yuKJYUH3+y/TMgQ5BS9l5W/59J0zAPTebwoBAUGb9PoEqyzrtF/UKGdH4UCYPA8mz0MaPrT5g4jFqJGX6xSVFTkXtPJyDEMgCMYwFDZrj2fAoj2ZfA4NC3yRoVIwueQmR0WIJlRKX+1CDGw2Ozs7W6FQKJXKUaNG+fv78wXC/Py869evP1iE4wI0V8QPbXub1jFbrDKFVqbQ1Ms1tQ2q2nqVRmegkMlWBCGRYBzH3QRcP6nY19ttYEKYWNSqO6TytfW+j2WCNSAhdPXGXc0TrJ92BTz1RLkTQ2qHy2mi1ctz0zIEQp7lgzezGsXlb2XXGUxoYqSPRqv84bhM7ewgOwLDTQqI/sBeE0cMwpptnlyEQsIUerhvIG3QeKntqRUAICu/4sedpz95Zz6XzQAAFJayv/4taGCi/MM3swAY9dr639595Uk3Ya8vuBIQELSg1ydYdrPH6VWQqYzm2hDNwTFUr67Tq2tN6lplfZFRK7MYNTiOAQCaZO5xHAcApzF4FDqbxuCRKHQKnUVj8MgUOoXGAgDQmHwAQSQytfFTq9XKYDBgGKbRaBcuXBg8eDCGQwCA5cuXz5gxIzEYYChCKvluVDK7tkFtsSIIgmn1Rq3OaDJbGz8wGC1qrQFBUAAADvDG4TgcxwEANCrFXcRzE3LchNwB8aFeHoIuiHky6E4WK3ccXM4D25x6GU2jowT76zq8yikw6CiPY20honHmjsaCkd24lXuuWjU+rzsrtlbAcYBbQbOmexyzuFV8EuZNulch0HguBGQmAIBZv2f5NAm3q3q5R87cuptbvvndZxqFP0xm0pYfQz5/L+O/MiT84Ztz3vl055a1z9jofU5AQNBb6N0/0g6yx+nVQDCJLfCyRQnCbFBbTFrUajIb1Faz3qRXWoxqDEUsJi0AwGrWo4gFAGAxaS/8tY5Egshk8ooVKxAEARCEoegbb7wBADh//vywiYs5oDrCh5WW4QZBEJVCZjFpdBqFQaeKRVwfLxGDTuVzWVw2g+ywGUMWE9HoKFy21UH79ww4Di7dcPOWmIL8HqRQsycParLN+XFX4LKFrjs82GpzWEoMfffdgD+u1Jj9lrXqBe4UcGO1VL5Ng/C1/m81Pcit+GbJVB8BjzNKZ9h5ckudSYQAqjtczmVHd+UWOP7Njn893QXvvPRE04MfbQtfuTSv+SEvh814/fnJ6zb/9fHbLiE0Q0BAYC96d4JVkLYvKL51JUaCDqExeTSmTc1Yh+4A1n9FpfLsCz4RI3FAIpmr2dZCNg39dVVioK9j5a86ZMH08q0/htgo3NAWb30UzaCjKAoN6y8bnCTrQlXs+DlJTiHXaCIZjCQIwnV68uLZpTER6nt53CNnvFAUWvp0UVsz+RdSxX8dlk4cWfv5z9Kv1qc3Pe4vFReV3bfZ1urIPI7rJpGRIdq7ubzo8IeOAQOlPFq21ez9orOiahWefN/SmdG3shsuZG/SkQJgVMvAZJP6MwQ8DgCAy2YumR6OYhiG4RRyV7IrhUq3bstfS+aPiQr1aXpw2/bgEQPqH1UvC/BxHz8i7rs/Ti6ZP6YL9zKZST3mH0VAQGA7vTvBklfnRA5+2tlRPFbgpnocMQISA9IXQoKExkHC682KJlf3Xxo4IVbQ8NvwPvCgvo1/PJycXQEAfLwMWPe8WH7f7xcVqnnmyTIrAt+4I/zilxCdngRB4L0V2SSSTVsfPeup1ZEXziylUTEWEwEAYBj00+6AAye8A/30y54ptCLwNzuCPN2N86eXN9Uw5Erqzn98q2oZQ5Mbtn2QDsN4dj5XqyNz2A8UKJpsc6rr6FYEbuxtckGmja3a/ENoiwRLKOAyNVdMvMEQw0VauTF67YGBwSiNShnY12tgX6DSaBk0Ko3m32IdCYa7puefmVP20+4zH7wxp/Fgt5ErN0VcjnXEwIZWLxmaHFlWJTty5takkQm236i0krVtexCDjnLZyJtL8qrrGGeviGsb6GFB2gkjam183RIQEDiIXpxg6ZTVbEHrnl8EXcat4ecBYWSDEfPyxv/OqrF4znh0jVD+xxuzvKg2qP70JBjW9eOnP/b7enkYRw6qBwBQyNigJNmgJBkAICufu2pjn8aylpeHKTFGERupbmuI7/w18cZVmc0PwWAYf35ecfM1q5fnZBdwP/giAgBAp2FGEyzgWWdPrmiuSh/kr7twXTxpZE3TI422OeNHzB/ST+ay2RUAgMlAzZZWUpLpw7x/uVuAu0KCZagUy7fPHu7uL33gXsXn2lPEf9fBy5U1is/XLYKbSZZYEXjvUenWdRntXLhg+tD1n+/18xZHh9tkG5+Zw/vjgO9HK+9RKdiFVPGSd+KD/XVTRtd4eRgzcnivrY8dM7ROrqQKXNSDnoDg8acXJ1h5qbvDB85zdhS9HthQTKk7bA54pfFTC0kwKE5AIZOsCEq5q2j1NIuGKRHULT+P7+ttsVohkcD5BsOVNQxvSaedc3R68qFTXvfyuL7ehsbsqgVRoZpP37nb+HF1HeNmpuDYWU86HY0JV5vMpPhopZ+34eRFj2u3RBodefKoGltajCJDNB+8kQUAMJpIrZ5Ckkn4roM+zROsRtuc1NvCYf1lnf0ae5j+8YoJTw9e+nTRpFEP4q9UYBgjyMntV6iZUbcn2q18xrxQkmPkcM0W66ffHEyKDZo7dXCLp/7Y77toVmmHO6x5ecZr67evWjbd3a2Ds/vdh3zKqpifvnO38SU3rH/DsP4PamODEuWDEuXX7wiVagpOlLEICJxEL06wjFoZiydxdhS9HozER/gDmj7VckZfurU/JTmAQiZJaLUVNfssNH+cHQJRm/QR8HqL+4dfHggNmX3wZJRSTQkL1C6cVebcysr+E95PTqiyfX1uEeeP/b5MBjpldPW8aTapHnh5GKeMNk4ZXV1Yyq6T0bwlxpMXPMqqmMlxitXLc0gkvLMN3G31eKVlCKLDNS0eHBAfymKe33VwQjf7zBzNpJE1ft6GtZuj+Dzr4KT76aDBhAOyE2X0MWr9MSl0e+YYH7Go0zIiNlJRLf/0239ef35ygE8rJ+Z5RRxbEiwYhj58c+7Kj//YsvaZtnThz10VHznjOXFk7ZwpFe3vlhynSM3U94i3AgEBQSv01gSrvizdzTem43UEHUITorR+AABK/QkLOwriBKUVIiP64RAEPTslRK1V1dRfyqv816jD5Ea62sxgay8vHTvLz3suAACAHADA2avuL6/tu+LZgtBAbbt3chQoCqk1FC8PmypYOA4++SbcTWBe+2pO1xQ7g/11jUIJMREOEXVyE5rLKlta2k1IiV/50aHQwF4ggx4drg4N0B4+7RkZohHyLQCAEYme6Yf2ab2f7/lgSIqrHqYz0wa7B/pEOu4ux87evnQjpx2pBQoF++KXEF8vQ009fdGs0nbmJ9gs+sjBzw2beWrx7OfDArXN61IIAm36IczPW7/53Uz7fw0EBAT2prcmWL3UHsd1wRFS7SEG9bIp/MMG9sQbmWeSY30oFLKbkOcm5EWHP1j4Xr3Iz1vU/NKUgfUD4uUvrYl7eVFh3yhVT0cOwPY9/hNSam1c/P7nkdPHVTkoN7ILMydWzXkpucWDVAoZw7HcIprZAtOortuG1QiZjLNZSFNJj8tm9vWsvqQvAyy/ngsCQ3mVn0+IpyRERTjuJiiKbfrhkJ+3uH2RhQ/eyFKoqCUVrIgQzXtbIxdML+sT1rJICQCoqad/9l3Y0OSGreuCzlz+0WBccuiU59MzymIj1RXVzM++D12+sDAkwEVV0AgICFrQK8vHOI5hGPp42OO4ChDZFPONKfxDAABGc9cYOqcFwKCjP356689/fH/92787zeZdQKcnF5WxEqKVHa5UqqkffBGRGKN05ewK3D+LrK6XtVRbnTM5Jjr8r03ft6Iu61IcPOnVN0plscDNBSkmDQsUqv7pyTDodbsXjeEmRHUsCNdlquuUK9ZvnzI6ac6UQR0uFvItCdHK8CDtxyvv/XnAt6K6lV9f7iLz5nczpo2tHhAfEBHMCvDZuWlN5o59fms3R+086PPZ6kwiuyIg6EX0ygpW2b1TvpEpzo6C4CFIJPyz1ZmnL7uv/DjaYCRJPY0vPFXceELkULb9Frx8Ucfam3lFnO/+CHz7pTwPN5OjQ+osFot1++HsmaODBP+Ns82cVLnnqPSlZ4qaLxuQEHrkzC4cn+uMGG3FbIGv3BQZjOSNqx46xiLBsICuV/RUGLixOkZULvVwoI/ymSt3T17M+HjlUyxm54wHYBiHYdAo5NGC5sIKMyb03/jtwQzv0s3vdjdUAgICp9ArK1iVORdaePMR2Ahu1XGqvpXWb+VXfgHpilpdAwEIw7r4whg1uP6z1Zlff3hn5sTKNZ9FXb8j7EawNmEyw57uHeRM9TLad38Ebn430wWzKwDA3rPFJTKqxfygL8fP21BRzdTpW77/YbPoMZElR864gN5BG3z+c4hCRX1zSR6T0bLNqG8gHVL3RPMQjhgksh+mpwQ6aH8EQbf8eKRBrvn0nfmdza4AABdSxX2jVLa893hzyZQ/Dlysqu2xvJSAgMCe9L4KFmGPYzu4sYauvsxEazg0M8BJKIDFDP2UyVIuR4xi2E/7f8+nvtZsPLDxGhxQudUKczdvHeyv+2bDnTc3xCTHOfnPw1+HfTJzeB+8kQXDDh9Y//OAb2Ep+60X82xXgc/Iq0u7eefZOSke4ocm8+l0lExuGfDcqYNPXzp0485rE1NskoToSXKLOHuPSm/fFWxZl/GoWDkAIDnG53z2STnPwbMpOCKs/nzp9KBO+THbTkW1fNP3h5YvGh/s38UR5nPXxO++nNP48bVbotJKZuptEY2GDkqUJ8Yom6uNQBD0wRtz3vhwx2erF3TBoJOAgMC59L4EK//G3uCEqc6OohfAavgnVpCTMt6Tz22lDYUEwwsmBm/e+73KfYGbfDeNgqMYSa2WU2AEZQbnVufn9xGEBnRXop1GRdVaSgt3FysC38rkhwXp2jKN6RTty/xU1TKKylgb3rrX/Rt1yLe/B4UHaZgM9G4ur19fm9LKi7cq9h8+88zscVHBLb/VUokxt5DTB5FXhAAAIABJREFUYmig0TbHTWhxtezq29+DzBb4rRfz2hnMhGGojxQ5Z6iFGQ5UV+FU/fjceAmLxXDE5vuPX7+XV/HZmgXdMWbmsJDMXF5pBSstQxAaqOsfL58+vkqupBWXs77/M3D961nNFzPo1DUvz1jz2e7N7z4Nudr/OgEBQbv0vgRLUZMbNeQZZ0fRCxCDvOkj2+tBYTLo84Zy0nJ/mjEzmEIh4zheWkn2l4ohCAJgsl1ieP35gnc3Rc2cWDmknwwAoNFRftwZoFRT+scrdm3xfeV/BYG++u7sX1DCbrVYAgD4+4g0PYvPZiGvLO4Jd+TsAq5STRkxsKFBTtv6U0hCtLJDo5Kvd14vLC55dv6EPo9kVwCAhTNL122JenQqM8DX49bdmkfXOwuLFV63OXLK6JoBCfL2V2IoRidZcKsWOCzBIqnSRoQb3d3Edt/ZaLJs+fFIbKTf2lef7OZW/5tTcuysZ0SIZsro6qYXiZeH0dPdePpyK68ET3fBghlDt/x45PXn7fNTSUBA0DP0sgRLp6wi7HFspBaKe/OznWQSdWJKn8F9W5+lCvJzC/Jza/wYgqBWNRK7g4Bn+fL99B93Bvx7wQPDICYDXTy7tFGwauywutfWx2xdm/HoQZjtXEgVjxla1/hxaSVLrqQmRCtxHHzxS0hIgO6jlT1RuErLEPx5wDc6XPPWkjwAgFhknjqm+sMvIzpUBB2WJF30RCyT0boCJ5mMwxCu1ZM5rIe6oWdOHLD/+PHSylH+0m7lpnbBYoXf/DBmxXMFHQaj1uq/+6dMQe9PEgc4Lh6x8cLQBH+7b3szs2j7nvOrlk338hB0fzc+19qqtm1lDVPahhtBXFRAaUXD7kNXbBlXJCAgcBF6WYKVl/pXxMD29GYImjC5jWHrsqS04iAvjnMjeW5eyaMPUsjYy4sK39sauf717C53Rwn5lgYFzdfbAACQSgypt4V7jkjJZOyJcdW2CDd0k/Iq5u/7/WhU9PP3HvKYS45TVNcxjp2VtK/O1Sekg7cKGID+PuzzvzkPffcEPFZ0ePE3OwI2ruqJ9LF9Vm/s8/rz+b5tFBGbcyatul6yHKLaIUFpE0QvtbdrE47jP+w8bTCav3x/cXNvQUfAYiIyZZuNVk+M67flxyPX7xQkxzlwNJKAgMCO9LIEy6iVMXkezo6idwAZKxGqpEFf4enu5ASrLUICdHOnVixf2/fdV3Ik4q7M93l5GBvk9/8mkcn4nCkVTf4hNTLNodMZVsCaNNjXX+pmt6D/45NvwtlMZNnCwhYdZo08Ma7qrY+iSSS88QwoMkRro9B8c0gwXlTWUtIdADAoMeTi9Zs5he4Rwa2IVfYYe45KJ4+qtiW7AgAYTBjEaOVrsSPMhgOjxthzvrKyRr7xu4PPzR1lo/tyNxHyLSp1ewbqK56duPLjP7wlQqmnqJ1lBAQELkJvSrDqy+6IfWOdHUWvgaZN96dmzp+e6OxA2iMqVLNpTeaqT/tsXZfR8epHqKxlhge1TDLSs/h7j3mXVxfXK8agEO2fi8LBCZcHR1lG9fe3Q8T/8fbS3PYXvP9a9rXbIhKMs5jInqNSuZIKQTgAgMVAp46pDgvq2FbIaCIx6QiCQC1OUSekxP91+JRO70ync5OZdDNT0OSE3SFKIxmwqI6LB7eogznlbkK7WQ3uOng5v7hm46oFdFp7SY99MZram3yEIGj963Pe+HBH1+QhCAgIepjelGAV3jrYb9JKZ0fRazC5T8o29jt08cdZo11a+5tBR2dMqPrrsM/syR2Y1z4KBHAEuS/YUVXL+H2/H46D0grm95/cbnxQr1f8cTTv1OVoZU3DyGS8J+ewGHQ0ZWB948eJMQ/OK3V68u/7/Y6e9Xz1fwXtn43OmVLx3tbIylqGv/ShKhGVQvaWaH/e7e3jZexa5a/7XE4TTRrZiV77IDEo0dfATEcpeHEbds+Y6mOXrVQa/WffHRo5OHru1MF22dBGCkrY7m4dyKPQaZT3Vsx6b+vfn74z39FHlgQEBN2E9N577/X8XW/dulVUB/jSBNsvwTG0Ivucf/QYx0X1+AFRWOqG8syc8gv3TBn5tTTI7C5idzPJOJ+aNXxAVDsL7mTxv/8z8HyqWKGihgToYBsEy3y8DLsP+aQMauh4aYsLPY1f7wi6nOZ27qp7SQXrhaeKB/eTTR5V03RTKpWSGMV+YrT5Vnrk8AGyzu7vCKhULClWSaVi27YH3cwUxkSo2/IW9PIwxUaof9vjP3JQfYunOCyKSJC2fc/YCSNqnTK8//VvQQtmlNs+oODtzrx5566F65B6Km6sSeBeiw2zQ/PAvxfSf9599p1l0yNDpN3frVNs2x781ot55I6GT5kMmtRT9Ouec4OTwttfCQC4nlHG4HvHxhKFfwICJ9BrKlhl90759Rnl7Ch6HzrJ/Eb3snqAleam8W6c6hdCjQ8XiQS8Dq7sEqm3hWevuq97NRuCwPU7wrc/iR4QL58xoar9qyAIkEi4XEkVdbJJmcNGNq7q+JTqViY/IcbhPe+dIiFamRCtrJfR1m2OFPCsMIwvW1jI51oRBLp0w+32PcHoIXUxEeqoUE2Aj/76HWELvdYBCaFHNu5avqhw/RcR73U0rtjEsbOSs1fdaVRsSD/ZuOG22mO3wGgifbQtfO7UCjrNVjFVAACTQQ8XVaSZ5RDN/v1DAsW+KTO7O5xoMJq3/nQ0KlS6dd1CewTVaYwmko023pEh0vIq2fY95xfOHO7goAgICLpOr0mwKnIvDJ65wdlR9GpgTJCsFCSdUFScP3YpRpTVN5jH5bI93fn2ukF+MefoWc8P3rivlJgcp0iOU5y96v76BzHrVuRw2e0ZSK94tuDWXcGjpRq7UFrJio10RYNndzfz1nUZZgtsMJK3bQ+2IhAJBgMS5Atnlp665LHnqBSCgMUCn7rk8eaSvObnjHey+AUlkoISS72MdjNTkPhI+qg3kCtqGGKhWSSwWBGYQsZQFLp0w23TmswXV8V7tyEH0A4GI+lGuvDcNTEMgcWzSwN8Oi0SkRjGSr+RinhM7OyFHUIl45RuKH8CAM5dvXfkzK2VL05zd3PIG48O2bY9eMqYatvXjxve96tfj19IzR7WP9JxUREQEHSH3pFgWc16KoNL2OPYAxhi+5nZfjf0Zddv5gnlO0cMik2KlFCp3e3kLS5nfft74KY1Lc3mUgbWx0aoGtvYKeQ236DzuVYHZVcAAH+pPr+Y7dyZu3agUTEa1bLmP/uURprGIQEAOYXcH/4MKK1k0WloSTmrpp7uITY/O7f/vxcvPj+P/vPugBYJVlEZe+tPIYOTZMXlLByHrAhkMpFkSuqLC4qtCEynodHhNqWbegP51CX39Gw+hkEMOpocp3jnpbxOFa6aczhVi3iM69q17YOjrRgn24jBaP5q+3ERn7P5XafJF8sUNKWaMrAjpdYWLF80fvXGXVJPUZAfMVhNQOCK9I4EK//G3pCEac6O4rECYvlBTF8FO3RfYX1tw78zRkd0eSuLFf77sDSvmLNx9d1W5ctFAsv8J8qOnpFMG9uJ9+h2JDlO8fYn0VM7UyFwKSKCNRveuldczjKZSUmxyv8sqxnnrhb0jerXP17+5wFfPs8a6KuPCNbczBTsOSptJ52dOaly1ad9Anz0U8bUtOV+jaLQ+VTxwZNezzxZNnlUTYeq9B2CYbgOEQDY7v6AGKPmr6SQLr71unQj58CJG2+8MMUuCqJd4+ot0cGTXquXdzCU2irvvTZrxfvbN7w1l8dh2j0wAgKCbtI7EizCHschQBDM8Wcqjg9L8bJYrFq9gUGnNQmLZxdw//nXC4KARkum0TAAgNUKx/V54Nxy7Kzkyk03MhkjwWDK6Or501sRp25CyLfmlzhNjuvIGa8uHGm5FEwG2iesZQXO38e9uLzuqSfA1VsiFIV+3u1Po2IeYtMnb99tp/N9YIJ8YII8LUPw92FpURnryYlVg5NkAACDkXTlplt6Fl+jIwMABifJPl+XYS+H7No6mZbkCTDUjjkWbqx2a/hlXorYz7vT7g4anfGz7w7GRvpvWevkXywnzktsV7toAYVMev+1WWs3/bVl7TMkElHgJyBwLXpBgqVTVnOEPT3R8/8Hvee8L04cQI1VsOoWCcL6Jwz3Egf/86+3u5v5lcWFLOZDhy+HTnldvemWelu4+5DPxJG1H755z8YRtpAA7de/BS2YXtbDI2+nL7sfPycZNbh+yfziHr1xjzBr0sAfd55+68WpjadLQ/rJTGaSjUd4SbHKpFjlhq8iQgJ0N9KFB054sZjosP4NS+YXcdhdP3FrCzabOVCSL9N8XGbwMUrmArirmliIgSo7xUbL+HSTjwgdNzeEQu50xnbs7O3zqVlvLZnmJnS+Bi+fa62T0dsqJXaISMBZ+vTYj7btf/eV7pokEhAQ2JdekGDlXtsVOWi+s6N4bIGoPKP3QkrN/ilJpMQo78xckFfMWfFcQas96VNGV5++pKmX0z95516nenEgCEwbW3XivGT8iC4Or3UWk5m05rOoocmyze+2bAt7bBDwWHKVFscf6Ht1tkHKbIG//i3IX6r/aKWtuXLX4HJY00YEAQAa5Nq/z2+ssYabPKZ0Os3Sl3spf14wzkcsat1bs0PqZeotPx7p1zd446oFXdvB7jw3t/jtT6Jfe67Ay8PIoHelvy0syKt/fOhPu848O3ek3cMjICDoMr2gqmzSyQl7HEdj9Zx+4o4FgqG+UfCsSZXtTPwJBZYpo6u70Ok8rL8sM8duE4sdQqehH628N2V0b+27spEB8aE30gu7fPnaV7Jfey5/8ezSHqssikWcl2aEL0tRCaq+7MRlGEqu/zcG/+3VOVFiURdfRXuPpX7xy7FVy6dPH5/ctR0cAYeNrH896+RFj5UfR2fmdHGGcfSQGAqFdOZKF48aCQgIHIGrV7Dqy+6I/fo6O4r/FwhZiEOFzmEYN5h6NKGnUmxSFeoyZouVSiH3pDr8o0xIif9o2/4uGwCTyTif2558hoOQuPPjfOVntYWAHdzBUnUWT3veg6UakcQP8e/iKEZxed227SdmThzw5IT+XdvBoYgElhcXFGEYtG17UF4xJy5Kxeda3YQdqLoDAO5k8Q+e9MIwCEEgFIved2xTaUU4lxMAAAjy0ylUVMyxPwEEBATt4eoJFmGP02NAeBfH722nfas1G0FQlExqc59Pvw1busAhXURNaHWG02lVXCZ08a7JgweenRrWfZGLLkOlkBEEtVgRaveEoHqecYMD64/uzm3oh7iNBq0lqSTlDU/Tif7hrMQ+3mRyF2vYVgTdtv04huGfvPOUi3+LYBh/eXHhxetu126L6hpoQr5l8ezSVlfiONj5j29mLi8uSrVqWW7jGwkcByWVU9du+u2lp+cyGZx7eTx3N/P5VLcZ/j35RRAQEDzApX/j4BiKYyiZynB2IP8vqCINupWdnRDpKLc4AMCQfrLf9vo982RZ1y5XKHU/H64vqPFzYysWjKdGBLKbntLqyPklnIMnvYb1b3BodgUA2H++LJP8PK43wsHS8tojJZVVYYHOPMKemJJw/NydqWOSnBhDF4BhaOHk8OzC/GM3bmqBO0bmQYgOQvUUMkyGgVVX7c7DX5gT151bXLyevefotaVPj4sI7vSYobMYmiwDQAYAeHdT64ZU9/K4P+4MnD+97KknHprbhSAQ6GP6ZsOUdz75Yeu6hY3KuvcKZRAU2ANhExAQPIpLJ1iEPU5PYhGNPHXnZlw47jgT2cmjarZtD84u4EaGdFrzE0OxZ96imrCBgb4NDXrJxm/8f95YAMO4RkfZ/EMIlYL3CVO/srigs2Y7nQLH8d3/FhaYkyGOBwQApM/vK8gOCwxtWnDzbgUEsJhw724Ki3eKAQmhqzfu6nUJViORwZLIYAmCIGaziUpjUsj3x/oKipE9px+ShlJpdCeulMVHuIX6d5zOKlS6L389FuQn+Wr9/2yMpLpW8euRvCHxPkPjXWJmOSJYm5nDi4l4SBL27FX3tAzBlrUZbSmTcdmMN16Ysm7zXx+//RQAwBYnUAICAgfh0glWZe7FQTM/dHYU/4+Q8abs/nf3nDFRsMM0dRbNKv36t6AuJFg/7VVjGPP4D1VkEgkANCO77stfgxOilQdOeK9almtLw0p3UGv1aq315PXKPPIc3O0/k13U5O1Ba1qj0uj23eaYuYmHzn71xNjYvuFdnHTrAjwOU6nWC3isHrujfSGTyWTyQ7+LUAxSmtjfH8jzE1NIJJBTgZQVZcVGBgX7iNvfCsfxPw9cyimsWrl0GpfdieK3p4eAxnI7lecmFTewGWSxiO/c7ro5Uyre/zyieYKVlc9NvS1ctawDSdIAH/fxI+K+++PkkvljHBwjAQFBe7hugmU16ykMDmGP06NwIm7rFlXs3DFruEeAj/1NeQEATAaiVHe6Y0mhop6/2ufzNblk0v2EJjZSXV3HqG2gb1mbYe8YW6LU6D796RKJRDOHrwP0B+UTnBtzJff4oLgHNT+SqYxCYidGe+09W3rtnuLFJ/s4OrZGZk0euPfotefm9fpyr9Fkzimsyyw1lmrc8ZhPCyAoT1cLUAvPfPDp6QNiwyTtX56WUfj7/ouLZo2YP31oZ28NQZCQhdfy5v2cehTHUKEl7Y0F3Tqg7CYwjCPI/d9+RhPpzwO+ag3l7aV5tlw7NDmyrEp29OztFo/rdDo2m22xWKhUqtlsrqmpUalUPB4vIKC7VtkEBASP4roJVv6NvcHxU5wdxf8/2P4N7DU/XjssulY0KJzSP8bOLVkQBCTu5opqpo+XwcZLVBrK6o19vl5/T8B7SBayxyS1ztyotsZsRSjcR5+Sscbczj6f2McHAJBborDSfEHtsbsgXMxUlKr4uUXV4UE9Ucfyl4qLy+t64EaO40p61bVciwb30DFGw7xIwLk/xwDBVHHDD/+bKBULW/n+N6FQ6bZtPyHksz9ft6jLZ9wsOsBRs9l9MgBAWYMoVVoB35lKpEP6yVZv7IPjgMlAZ06sDAvS2n7tgulD13++1wpoQr/7jygUioULF06cOLG6unrlypU7duzIz8+fOnUqheK0EQ0Cgscb102wCHsc5wFbPKbWAJBTusHuCRYAYPq4quPnJc/Ps1Vafe9R6ZtL8gQ8BzZXtQ+NSgKmNrQMBHHHb5+UeqglYl56kQmVvhBMy66A/BWC2bCpJq/8cnhQDwUZ4OtRXF4X6NsrFeOyC+uO5vlbPKeCFtJ8xuoA1XfPzY6gtT2niSDojn0XisrqXntukkjQrXxoeIJXzanNKswNBVSaqYDNdrJAzLjhteOGd/1dxJqXZ8xY+nVQ9P3p4K1bt0ZGRlZVVY0ePVomk02bNm3Tpk3Z2dl9+xI6OAQEDsFFD+AIexwngxgAAKhjXh58rkXVmVNCrZ7s0Nb1DhkQ7SGs/RZgrctYqH3e+OGYQq7UKc1MQGHJEQ+muZhsLoMKvsgqqMJx+3j5dcjMiQP2Hk3tmXvZEZPJsuvf/H3XgUUy9dFn+Yo9S2ZGtZNdXUjNfv2DHUmxwRvemtvN7AoA4CFivzon/L15bh/M465ZnNAFEx6XAoah4QP6kP7TNBk/frxOp0NR9MKFC2KxWCKRQBCEomhDQ4Nz4yQgeFxx0QoWYY/jXGglW8lMd4TpkD8wR896jhxc386C89fEciU1M5cHAFi1LFdvIHfNQsReuAnYi8dJvj32uV76AkRht3waJql9X/3q6E9GwVgAgMLjeeTSbPKQpZD/c+r6E1/+cfWFWUl0Wlet92xGwGMpVLrmtjmuT4NC+9ORSpnnMkgqaHWBFaN9sL1AQK5/9ZmWPVUlFfXf7Pg3OS7ki/cXOT7SboHj+A/7snASfepgd09xewedDuDBi2HgwIEDBw4EACAI0jhS8Nlnn/VsMAQE/79w0QSLsMdxLmbvhaYbz+nDBtt9ZwSBbmYK5kypaGvBtu3BflJ9aKBuxMAGg5G04v1YOg1ztCZ7c/QGcpPFtd5A/u6PQIWKSiZjKGLW1xxiD5z36CUQTNH5vHj/Y5qQkbgBwS3AcwwMdMqqnRu+04wZEjkk3u/RC+3LgITQ63cK+seHdrzUNbiSUSeTvARRW8+uAI5jVFGwQP7k8IcUKPQG8zc7/sVwbP3rsxl0h2eu3Sc9t6aIPAHjJ/5y/OO35rGcXhhrMbBJQEDgIFzxJ42wx3E+TG9y8MKGyiMWS4B9ZcpPXfJo3x9QpqQuW3jfXE/IB99suIMg9i/JGIwkk5kk5N8/ecRx8P2fgZU1DBIJp1GxehntiXHVFAq266DP20vzvCVGs9lyJrXkWo2/0YbNEX6/xg+sntNRmhez6uej53OOnU2fPSnJodoNE1LiP/xyby9KsFh0GDeZHv3fxVETreGEGM+eMlAU5BvW9DiG4Tv/uZSZW7bi2Ume7m2kZa7HjWwF5pYIAGyi+FmtVqcnWAQEBD2DKyZYhD2OKwAzPZJiA+wumEmjYRZre61dFDIuV1KbN12RyZ1rYzJb4Jp6Bo2Kerqbmh6srGEcOePJYSFFZWyZkqrWULw8jHyeVcCzhgVqyWSMw0I+fDOrcTGKQmevuqs0lC1rMylkDAAgV2rOlfvh0jmdigQAgAn76wSJ9IyXFs9I9vHuQMOpm1DIJAzDzRZrO01LLkVZPQLz7k9R4GYFR74foflYYYGf9dj0EVKJ+0OZ4qlLmUfP3OqaBIMTUSg15ZbQxm5XKqZmMojCPAHB/xdcLsHCUATDEMIex+lYhcOu1ZkbDlz935RwO54pDEtuWLWxz6i2e7B0+geFpc5yJ4v/5wFfkcAiElgsFriihjE4SSb1NO475i3kW+dMqdDpyWOG1gn5lkYhbKOJpNOT0zIEuUWC5YsKm/YhkfDRQx5SPXB343NJCjXc+dqDuR7HISvN+9yd+qe93Lr2ddnOxJT44+fuTBvbz9E36j5mi7VexwT8+wUsRu3u/gGqG3fTRvcLG5b4kH5YRnbpb3svDB8Q9fl7rt5u9SgYhuHwfQFYFtUJvtoEBATOwuUSrPKs0/59Rjs7CgIAAODKD5eRPH47Wvi/qeEdr7YNEgkPC9S245ZDpWJd7tLe/rf/5++lN798/3HvojL26uW5rbbJM+gog45OSKmdkNLBMDyZTJYwlWocAVDnfmQgRIdnrIHFcbm12Idfn5g7OSk8yIE1jP7xoas37uoVCdbuk4VytyVN/1dGrwWZJRvXLn3oZ7+yRv7z7rNST9HGVfPJvfNkLTWrwcwc2vhlMsjOHIYlICDoYVwuwarIvTB45gZnR0EAMF3ZoARffwn3y18O60b5sVl2qynOm1bx6Tdh61Zkt/qskG+tl9Hc3TptfaPVkX28DC2Ss+njq7oW5KMM78svunkOEXcu+8dZgSDpB5D3IUziIG4p268Br1u5/UIZcZFeDjrI47AZcqW2+5oFDqK4XHYlvTI61DPfGE/DikTyb1W4Fw6R/VmVc2c8OBNUqvVf/3YCRbHXnpvE6YzjjStgsVhr6+XZZYaiGqyalAQJ739dSh2i1OgE3EcGUQkICB5HXCvBspp0VAaXsMdxBaiGrCh/noe7MCg0qrC0oW+Ur712ptNQswW2WOFWZwMnj6o+etZz0azSzm5rscIUigNFp0L8PbxvXCvDhgG4c5NrEIVt7fMJAKCxhlaO42XleaeyzoyLBUl9PAxG07WMGm8xzY3PZDLpFAqlm03Qc6YM2n/8utNtc8wW653cmpwSA4sJTRzoy2Ix9AbTzn9LikxRPF1ekRqy8AOi8H0L50WaTBYAAJ1+v0pqNFl+2Hlaqda99PQ4saiHRQ26RVW9+vd/6ww4E5C5Jmo0wg6DxQ95+8i9X/viyI4BfqVjB/k7KUYCAoKew7USrPy0vSEJTzg7CgIAAKBby8VuIgBAnxDx3VJd3yh7bv7s3JJ3N0V9vPIeDLdMiQJ99dv3+Hd2QxwHH3wR8eaSfPvE1wazU6TfHP1a57e8sweFDwFBEC9czQs/eXtDboW6WCFQ82eBoky69gaEqilkRr8o0biBAV32e3Gibc61u9Vl1ZpaJUBhjhZla1njIF4EbtXm7/1GzLFUm6Q68ctc/Q6JiFzSUDYx/NjQhHAAAP0/qQUrgv625/y9vPJlC8cH+3dgO+iC7D1fJ/N5G/z3/vDRt4kQia7zfv6sLENz+tjMUSE9HB4BAUEP41oJlqImL2rIQmdHQQAAAHTY2vg3PjHC/fylo4aUQCaDbq/NA331858o3/hd2NtLcx99FkU7kVuoNJScAm5ZFTNlUIO3xBYVha7j7sZdOgnaeXJDNX00xk8GXeh5b4bSd6UCxyApFQaAXbg2IcqnUiWqIA09p5Lc2r5b6k4dkyj2lgi7sHOAr0dRWV2QX48OrBWWyY5keZndXwCelMbsovF/EaJyVf5vqRATEDFJyhtjo5EjZ+qeHB/fN+KBVQOG4ftPXL+Slrtw5vBn547sybDthU5vlKHewIbqO8qPVaj+7YGQCAgInIsLHcbplFUcoY+zoyC4D410vyucw2aOG/bUhWt2OyJsJDpc7S4yXbrRcrCurIrpL9Xbvg+ZhGt0ZAHPMnlUm/JaVTUNVTUNGGoHtVJ3EefVuVHzI27GGD51q9wEtN2omUFk6L/TRjO/X2axpr5Bbs39FslYp0NY9/T9Pj9Q/9XuOwWltZ3125k5ccDeY9e6Hlhn0BtMhSWVdQ3K/ZfqzZIZgERr7bcKDMhMAIDIeDkyUKiWV0aH3dcDw3H88Ombb27Y4S8Vb123MDbSv2fCtjuX71QbeLYey2oc+0aAgIDAJXChClbutd2EPY7rQCM9GCmvrhNLPe3/N2Hx7NKX1/WNi1KxWUjTg3oDmcftxDQ7m4WMHdbmiZjRZP7lcGEF6IdBDLYlm0s1cammKUM83AS87kQeE+4VEw4wFDuTdjCtEJJzxkK8iO6cG1oEKUZXuE/9AAAgAElEQVSTBAF0LCCObKknlW+n1JXhuDU/syArTR8UHhMQEJgcIZB6udnihCPgsZQqfQ/Y5mAo9uWeYhl7DFl9E+OmgIdvx6j/h2EuVHg+D8j3W6lQHL5XUOcdEE2CYRzHD55Mu3g9Z/r45M3v9npb96J6AIm8bVwsp8QXlhYE+ztWF42AgMC5uFCCZdIrCHsc16Eo5/ql2+Qh8T4AgHHD697+pE9cH5XdLWvefTmnxSM5BZwAn05UsNpn+5HCYv4KiMoFAGjAcA0AADGU/HvIi5I7KoHv7+3WHSVVmASP7h+Q0g+7nXU6q+SfUqO/TrKga1tBvAgTLwJWXIVuPEtnsCGPgSZ+CsoJp99dSzXV1JqltfjStKs3uJYcT7ZuZKLQz1uMoRhMelArQhBEptRLxPcTx56xzckuqpFzxwFOZBT1GAU+mWYMhhnNeqcQNQogHJAhHINkl3FRfzmt3+lLXweFhB8+ffPM5buTRyduWdvrU6tGzAjN9sWIcMSx1ItLvPj2tUkgICBwKVwlwaorvS32jXV2FAQPoPGk/p73Cw8sJvLGC/mvrY+d/0SZyWxPOSKxqKUcw908nr20FW7cqyqHhzdmVw8gM42ecwoxa/GtVObVQiakiPRGJw8N7PJdSDCcFO2TFA3uFtb/fXuP0WNml7fChAOxhG8NVEFjzBAAWOSqxqcgChd1H6MEYxSYJf/qeT6SrW3IH5nk0y9GymYxDp3LSS+jIoA6d4glIkgMABg/Iu7DL/c5NMHCcfzUTQXwigcWTb1cS2cwSQLQ/CzT6PWMEQAIAG7VN334JWlyvYU7MKMULSo99/STQ3qjamg7WNDO/C6FSWXcRR/tPe3NrFs0OYRM6pUSXwQEBO3jKglW8Z3DSYQ9jsuAWzSJER4+ng/O0fy8DZ+8ffd8qvj6beH2Pf4LZ5Y67u52OddCMex0utnqM6z1W8AU3G2IHgzRA3BJeYd989yIxO42mUUHu1fXl5yRZWK8mC5vArMf8oSGKC11CiCYiriPkYExwBM/Iis8d/iGEOSO78eTaXVyE/n4lcLGBItKIUMQsFgRqr3NjgAACpX24OXqOi1Tzn8GQGSIJqwN2IwjJojMbHU9qi25BSdnlWuri9YPCuR+sfJJu4fkXDAUM2KdVKBlBehYz+Uaa77f+80LT/YhciwCgscPl2hyx1AEQxEyxW5DagTdRVcS4t3yv4PNQiaNrBk2oMHX2/DBFxEOunMn+7nb5HRqmVIww5aVGD/uTrF9jj7HDgzwMe4HiMEuu3UABMHcEKPnU1WSVTvS/KgU/M1Znq89PaDp+fHD446fu+OIO5+7WX0XnynzWoGzmip/cFvZFYZa02TRx09fZIt8hs/bLPRNMhgfeETiOH78SunVzA6U9F2c/2PvrAPbONI2PrMrrZgZzAxJHIeZoU0abJs0bdpcmbm9ptevvbveXfHKcIVre8UwMzRMDttxzCiDbFnM0sL3h92AY7ZkOcn+/mgj7ezMK7D22Zl33udcYZ2HO7QHJ0KOpoJzz+EzhpCHRENDE3H6hcCqurA7hrbH6U+wAxU6Vbtp4JNHN0rFgbzCXuWJt4dW5auqbftS3XWarPaTFRjFT+hqeyreZLb1ctBm7pkZw2tcGZKuugpEAuq5ufjcj1YW/7jl4vebimoabQCAkdnJOedKOz27B8ydlDiWu5bdsLHjZkTAWbrt6SP/nSfTpU9e+ok2cRQAwCFbuOFAVXMDq8P10Yr83y2zi6tC8+ZHBIqi9p51UdKeCCwAABClnCrxd3ejKA0NTf+nXwismqKDupSxkY6C5jIsok4i7shr5cG7KnYfUv3f+xnHTstCe2lYPMfwzhcpLncPF7YcTvev2ws/2YFatY91/Sy/dOqek6EpzikRCVKl9ZSvKSS9dR1SmFmjfjWX95cLgpdX/d4yerNtTsjHYqDo/MmJEn+OqOgFnWG5uPQ16LiqnpnfYz+/9rGiFbPHp+AzZt2uirssPiBLWm3jAQBqG+2frDfVqpaTRCAznhfyIPuMfTlVJuHsNg9RZJfMBxsEC9f/HhYpTENDE0EiL7ACXgdtjwMAAM5ibtVn4ppP1DVvsg3fUwFrBGPhMYId7/BnYeTzDxW/9nRBo5n10j8H/rohOlQySyQIRmm9FYZuX3Gr68wfryp+byvzNPq4R7sMdsfQBmLCfGfGyQv13R20TeZPiBWbfglJV90GQSHCdOCC5hmRZtuc3vdqs7dWaQRJEhTiE45qYg7zc5Nh8fuU3wwAcJoNxze8eXbXJ8lZU15+eFqjyYQQrQt8eIF41a6Cr3eRduVSgLJYgWqXO3idTuHsP1m5r1JPirKuPUQFHNSJB7uy5k0JU085Rq7dW3Kdvgk0NDRtEvkk9+KTa29yexyK8MnrPhyRzJx4SzSCIgBoXW7v1xs+rFW/0l5eS7jhMbtU9YqFkXOn182dXnf0tOyvH6b/7fm2/Zu7xe5DqpR454BUe7fOWr+//FRDgl/1EIA9tJjxKedtO/dZZqKfw+7Gfvs2YbOxyZnk5oojuHRML7vqGQLM36yPQ2Kbs3ZvaX6p8fVHrppj9vkCKMQRyufhj4aCeKC9t8mQW3LyEwaTkzXtSTZPAgDYajhIDnkGZ7aeCnWrlpyw5sagG2J8n+S7ZwcUt2yt1+X8vPHJ2xND6BYQbiiK+nV70fngDFI9rM0GwsafEFWSvWtbNgLSSced2vrVvz66MJ1OeKehuTGIvMCyGoszx99QG7a7jc8cp8AnD7/sTcbncR6am/jN5n83wRSUClAIM4jKcW4qYHAARUKWjPLUASYPYuJwhEN6jbHK7k0ojh5irm9g7zqomj6+t5fzE2elLz9W1K1TDpwynLCOxNXjezm0Q7lk88Gv7pweApO4MVlR1caD521MXDy89711F4K8fFGP751tTmVN0+nGOIY4auO+4mQ9VybmCgS8j37L9bLTMCifmljbaP15zQlleXmZImrAiDl/QRmXJw4pxfg2xQUFIN997M6ZcYAihphPHDi/0yBcWs+bc7Fkl0TAjo/Vhbs+au8hCfKHzQUFjEWUOLXNBtBZLAnmGkTLut4nJUipRB7YefTXWeMSQxMlDQ1NRImwwLop7XFIxHJc490DmBwfyeEhjjgVOnloXKtGAj73+bvSrDYnh8MKBnwOV3Fh9bkgHgziwGwP6pSsuiZ/WaPGw80CwjTACGUKC8t5evAQSXfPWnhr7XN/GzRptInJ6PmOvE++TywuFzQ2sbpeOL7MYN5bKsc1vVVXAADIkhpNvZ2+usRdM5OEhw8cM5T5NHf0yhy6+1iZA/NLCjOSVACAO28b/fUve156dE7PupKJOCzK4VQ/dNBvPnihEsONqP0sj7C5pUMc3Pi3V//NW5ejzpg9YfG7Xa+uIan5YNkM2a7j1YEA/uDCwXnF9bXmo6j+7g15uX5X059vt8tlYblz6BZ+f8DmcCtk4mtdtz1e3xdrS42y+wG33dIeIttWBk9HSUd0a1AYtCrE180cHg0NTcdEWGAVHvstfUwPi19fl5ABedU/bh0pH5ia/sdT6g6aN2eas1mYQMDTaVof9fkCFYbD58p2VhhZFs54SjIYIiEoDM3Hy1WKawbrAg8srvh5XfSf7qzs1lkOp3vj4drkKMHgFF15Fe/zf5x57b3Mj/92rivnni9qXH8KenQhc1iye6m1e0rGZ6sU0tYFqHrArLFx2Y22lb//q549g5B071rbG4LyKbvP5DQLLJGAa7Y6e2ybIxDwpKwmJwCQJQMsWRCAgHw6kf9K1baHDPWWATNeFs96t7t9kkzJliON1bWOKDny9YZSk1uDq+dCBPXpl4kq35L2zsWoB+A4fvC0odAQgExeEKeCOIlDzE0IggwtJ1AeJXDMGq1Wylui8vkDv24vrle9ALF242RYjg6L8x+vVnfF+/lKeK6jQzO66rdDQ0PTz4mwwPK6zDeVPQ5m2n7vLVFaVbfnh9qEzcbSkvRpSYAkqYKy4zlFuxtdXDuM9/EGQAaP8jVw/OVcvDJAsXkMj52Z4ZfP6LRPigxIMScAPRFYmSmOFZu6Nx8ZDOJfb6wwal4qKdxzuqjIHeA7PQ1JcbGb9lirLbUzR6gTY1q7QV/J7nNel/6FHoTKNm0NsBNIwdXrOxRp0z56DICSLf9+YkGsgB+CBDiNUvzsYvGJ3OP78vZZuBNJyYg2ZnrsRULXfgHmtZNKl2pJ7wcFADgIEU4Qzdk8o4YkHz9TMmpID6u6i9h+QOHNk3D1pcdLTq3niTSpY/8VJdSggp5UwHdoHnYAAKSglAxABAMS0PyOkG5Disp/7YxR+PD6/JsPVRU38q2ihVDRxmsJApCPe0r3bhdTlUwkSFIMOyFzCZd1oK6Aty4d28dAMbtoWg927vTly6ehoQkrkRRYDZVnVLHZEQyg72EQdhE/9EsACAIzkrQZSQAA0GQ2FVWtd3oJbQxTpxbKJHocxxkM+ZmCkgN5581kTBAVq0GuO8hysjIJ2cTLN9kURbqqJOYVi+b0/B4aQkCSEEG6tBmqyeL871aDSfkkYPA8irnlAAgn2T85QLDgkQpLBlTc9+Ph75BDDaMTvNNHxbY6l6KoXUfLLdjInsWpgoUeZ5HpksAiCV7ddyzXOR831RP9lEn77Pub1g5QFi+ckhSSfKARA3XDB1Dni3IO5P5uwZVu9kCKGwM8tXx/roJpHBzPHD5Ax2TK/rs+r4Aiuzvt0SZ2/sSc3B2jB0cDAG6dnP2PT9b0WGCNSBfnHVmfV+Gy1BWo44ePveOfCBqa340rd3pSZBDhReU2DoG7cydkKXYfr7xr1uDwqQ0cx9ftKy80Seyyh6Fe3tEwDK5fvfDK1MIOGlOEV9v09d1L0jfuL4OMbk+CEhDz+wMsVjc2wNLQ0PRbIimwys5sHD77lQgG0Pe45XN+2v7Rg/NSGYxwvfNymbhVCkvzWNlp6uw0YLU5axsbMpPjKIoqrbq4/cQRExlDoiJGoE7BMg+IY2VP0AgEPc/ounWScdUW/eI5nVemzi1uWJ9DOvWvgCuushAT4cpb8D+uYR79owCAQ7Vb81aVCjDXwgk6jIkgCLInpza/lmXnzySkPfSv9AWhlOMz/fGQAiRKOt3CcQRbCwCATKFb96cTzoKG1b89NC8tJI68EMKsVG1WKggG8XLD8SrjQX0iI1Yn53JaMpoNddYqbxyQhqZeCRSlFxnWjR4MAABMBkqSlD8QZHX/hZRWGtduPdpYbkrRDmDe9gzgxXR+TvfBTDsS0KN1brFd//Rx35ATv7w3JEUS1rmcskrjcesERDcmhGNQfovC+NlD8+NQBJk5Kqpx+3+MTUqn8i7I5HexB6909saD/71zWngtumloaPqGiAksiiIpkmRgnEgFEBEgJi5lL/n8t6+eWTqq89ZhQCIWNOd1QQiTYtVJsWq3x+f3m4VCKQNV9L7/UUPMG3dpOxVYu04YDlTF+6PmdqVPr2KWF4B6wv/B9jUQIpDy+8R3UPqe2jNTOLf+F6e5QnHFxjqIMB3Rz7duKEgrwxdvPfBrZoJSr5X1vnxDM0wmIyVem3JN+KsPNHh0r4ZkCAAAACQDvTyPOGty9vZ9Z+fN6OqWRhwntuw9ffR0UVKs5uk/3crnsXGC2Hbot5zGNJ+yS59aVyH8AMGCnASMyrl7HOvzzf/QidxjJseNGKgN5SjXEKWTC3PyXCA0dTQowsdpXJvEr1h0ZyKbjQEAuBz2I/OTf9yUe8FfTzG7vC+VoyqoEQUCwZBoehoamsgSMYFlbyyPyWy7/PGNjcixZ/a4aLfHx+OGd7uQ14dy2ESnzXhcdmgjUSl8FhsmFbdbw9rmcB0pF/u13bxOoyy/7u5exkb6TML6Hx6aKZKJRxVWWkov7PApZnbQnon4z9bLDzuG848XqFkV990aG75CTRhKUl4j5IRKWCA4cXl2ZmR28qvv/NoVgVVhaPxt42GX2zd76pB3X728AYWBonMmJopOl+8qWeNXL7h2HZMK2CEEgNmNFHVBzZcJ4saKGrs95d3zdVnD8YolE6WxujiZJOyF3bkcdqqs+qTfAlnSXnVE4YLab6L4ljkz1HLJ5ZS+RrPzxx3VDeJ7KX73qn54sKQmS7lW3VHqIQ0NzXVBWASWx+PhcrkAgEAgQFEUhmFGo1EkEvn9fhzHpVIpAMDRVDVozs1oj+PjJH+1t/i2QcZxQ2PDOtCbH6ctXVidlugI6yjXolX5jCZ2BwJr85E6l+Kpvk/lRe1nBiGbFy5KaBZJWanqQ/kXqkBHAosQDfaIBkMA3GBkadD5xZr3n1qU2oOFtq7w0LykPcd/MpiBM8B2E1wPlhBkRSEsGcQkXa+AcCU1DmFDk131x/Y3kZBrtjplkrYdkAJBfOOuk6dzy+VSwSN3T2uv2YQhUXpF04Gzb9W6xDblEohd3q7Bq/3Wz88iFFOaHyK+WtRdEpRNbDc+ikIJa5xOOHGI9ssDm3hUeYxey8KYv+0sa3Ay4+R+hxf6A5TL473/tkRRL5at22PWaF3e1h1+Te92FUBEzLTcPzel1dO7cuqN2uWgO3YCzQSxqFpTHi2waGhuAEIvsN5//3273b506dJ9+/bV1dWpVCqdTnfmzJnExESj0eh2u994441AIIAysJvTHscvnQpJTCM7H+6BXn6s6LX3MmdMMFYYeChCPX5vWd+Ub5RL/WZrR9cVg4UL9R0ZHYYJhXf/0kUZVz3DD1QSPoh2aVIKMgX1qmc+XPn5+EzeyIF6BA3xt5eFMWeNb3Gnxgmi3lhYZz7faPVbXUFvkOEJMq24wiW9FWF3dSXXrnvi623vvnAHq1lQLp4zZu32Ew8vmdqq2cWSmjVbjwdxfO70YXfM6nzlOiFanhAt93h9K3Z/VuyZjotHQHMOz77fx0kkpJdvmUhfE1r0IVu805f+z7YtuSC0xby6sezIbPy4iDBbRLf+a/VxBCH9gslB5XCD2wA5ashjUkLf6t///eA1Cqb38HhcDlHr7203iCWoCAZxJvOq31KHlwm4PclVR4TJFyrXDRsAAABeH/rNb3FP/4m2KaShuS4JvcC66667Pv/8c7VabbVap06dqtfrVSpVUVFRQ0MDg8HAMAxCiCDIlf6vNxsIyi2odiW2ri0aYsTC4FPLSs02TCYJMBnkn98awOUQUnFg8W0GpbzXl5X2yUxx/LQ2etzwdt2OSRiB/BLKU6MX2gC4qjLkgHjeqQv5QDqki51AlrQp+v/WGS7sz92wdJoqShuachvXwkDRKJ0y6urdnB6vb/vRbwtrMC8a42XFAX78lRNIbUD67TWn3V5ls8CK0SkqrrDNsTnca7YeL600xseonn9oNp/XjaXPb9YXGD1SNRfG4ltK8QGUZAgZKAL8FIBekaYmHuTP/pZlO9Kx4SnEbW6XnYRSXDAQFwy89DzCiwIAUEEHIIMNtrBYxyAI1PDstl5t2yQx42Y9x8hgXPVBkARp9fU0Yw9BzZ6WzFSTmcXjdL7KT0ND0z8JvcB6/vnnx44d63Q6WSzWgQMHli9fjqLosGHDDh06FB8f7/P5AAAMBoOBRd6lJ1Kg7kJE0vNy510nJeGyR++wQVYAQH0j+4NvkhfPMWRl2MI0qEruU8r9n36f+FQ7d958zBeusTuAJcvPb635EqMV3FN5HtBVgdWCKNMiSv92/3eTk6snDG23lnfI4XLYC6ckAQAcTndNw6HS2j2V9d5abBohaydTm8FFM19buWfT8FRbQpRYJhHFRauKyuoM9U37j+VjTOY9C8Y9eNeU7obhDwRrLJQ78TGq6iOUQkiOERHEezRtlAtG2Iqgel7HvRHqW/ZatUDSutwu6sjVeLdLWO6iKkt8bOgdOSsMlq0nrFa/BEh6PhPJNa5aNsoSH53e6vl1+0qtosU97tZBKS7laJJ98TtBQ0MTFkKvclauXNn8j+eeew7HcRRFAQCTJk2aNGnSpTYURZlrC3QBDxOLjJlxJPHWqdHSqSMjsxNbo/S99UreU68Pfmd5Ho+Lh2mUexdW/bSu3f38Uo7PgHv62McaAkSnbj3fY7K4goyeFf1C3LoHt9Xm5Fdsu29WYrj3K7RCKOClC3jpiQAAcDr/9KELBxtBWkBxy1UTSAAAAAhRVqUws6yilFNQYK08YqoqWrnpyF+fv/PNFxf3uL4XC2M+eKvmf7vftnPHiNxHZilWnyzBTeqnILOl7BPla0SdhaR8XNdSxxAgGdz6OYrkVX0Yl5FSWU/6Uv561n4msOXEfbPT2uvi2jr1JEFa7E65tO2Me38g+Nt+kyXq1Z4lt11CAivjo1v7Bm7cV3rGMQrIerrLFQAXO6u4Ys/gjKhonaeyJuz5/jQ0NGEC/etf/xq+3hGk7bvDM2fOlDeC6pLT5Wc340GvWBkPkZvFQJ7X8OuLi6IwZsS2YUMIhgy0vfef5D2HlYdy5H4/Gqt3t/NBtcH+4/kTR2V02mxQmr29Q/Fa7tlTx/yivrOOAQAAhGEjFI1lhwcmXc5h2nDQUCdc0mN/IYqts2BDzuYcYAG7iMeMSH1IrVIwMlOWrjBX5m51M+IBs7WLn8NsuJizpbDgYlAwMGHoPG/9iZcevrWX1VNFAo5G4M87c/TheQmDUjRDkgWW0j08xyGV/7DQfXig8PzYmIbKwmN+4Yger775mLoqdKqdPx5hSSh+QpNPaLj4e16J1Wx3SwUsNqvlIzM22r5cc8FosqUnKC+d6/X5f96SvyVfgvjr43StVTVJUl+uuVivfAoyelUjhnVx+cKJGrn4qvuEskrjuuI0QjmtNz0DEtej5+P1EgDAqVxJSryLx+3hQuGJ81UcsW7QoB6Wi6OhoekNEVun4wgUaSMfpiiytujQsfV/hwgaO3CGNmFkL+8prwNIsqTKmhYfyV1CKrnvX3++AAAgSXj4pOzFfwycN6Nu4ihTpyeGBAGfO0Bbe9RdSvFa3/2HFyKIAitJkJfy010BDPJ7dZWFTIE9+sU1lee2FJbwifKRyWh6nHT7sZoggVKE3+wTJqkC8ycm9D4jnqKo1XtKG6zE7ZO0GkXLXJHL7cWYDAxjalSS5xaLPlv9TRXrteacfbetvvjkWre1TqxKzBy/jMUVUwGr2PRbDU+7bmfOwpm9UrfVteYVu6s85uJvdyVBGOBjnng5vGNKDPsKiYlThpXFpylZVytvtbxMwosWvkVm/B1Kh135PCkanB9MBAjznKkhr+SrZ+7ODgbxtXvL863RgJk0dQRaUmXZdMTkQlQQIDjA3MIHoCxuZ80hq/Nw87pqMwRJ/nd9frXogU7S17pAULfk6Pm18Vphc82qIE78vK3E5bAgWHwv06YgR11uDDSv3T64uOLj75L+/kJ+L6OloaHpeyKcCAUhok+doE+dQOCBytwdh1f/BWWyYgfO1MQPv1GVFhPxahWySEfRAoJQ40c0jR/R9N8VcTX1nHsWVPfNuBo5l3Nut6dvBRYhSDtZlTGqriEmqsVpkYf5ASA7zsLuEuIsH8jyAbCj5sTvxRc9mj9f2p/f5K5oXPfDo7dn9nLSaNuRipPBOyhl/Ne7vpKyyyFAnUHMQ8lEROFTd6ayMCaCIjOGyj88/HtpWaXTYuCJNcnDFvIllxdARbVfPHdH9Hue5E9XnvID8R1TE5mMnkwb788p27j9MD96kjhWyYS4BxHZA/CAe9r5tXtUrIaH56W6Pd59Z4wiHiMG31rhjYUcJaBwAJHO32dPtcb4kRMTuts6CJkCKuiQNv20cHrc7mPlJ8uhWX4/1KpV9e+LhLGr9xXX6/5yuTEAAABCNu6UDaledZSP4UEK8eAcd4DplD0CQlFsjBQNuOhTvbfy+yQlbnUDi49rlj1MqTmQ2esdsghq8rR0IpMEBqXZNu3WzplW19tuaWho+pb+kmmOMrCE7DkJ2XMI3F+Zt+vw2v+DEIkdMF2XNOYGU1p8YOawemKlHFYeWFyxcZf2Pz/HP3pPeR8Mty/X64l5pg8GuhLI4DKkaXtP75zFE6ikfAAASVCApHqvry6BS0bgkqsnh3hx5eC+Hzb//Kc5rVOhu0VRLaTUiQAAp/4x5xXPe/yWL9Z8tGRa9M6D5w+euFjgTE+b/KxYmXBtD3bVvZ9sWMEJlAcwfQ6xtHH1f59alIF2fW34DyYOT5g4POFS2pPT5UEQ/ordv5Jcpsvh+Nt/9uOonBCk4ahME/g9Nvi+G9VJ2a5ar9YlX4C6ywheXHuzRxzzTi/Jc8e91O7YrrIEqe2HPWyr5Haoj4e4m1/1EfQXfbfOavXxQevVUQAACIrH1IaoXHsbsJXW6D+fwD1Q1rJQGKqfKjcaZbXZmk0XFt5ae/uTYoiZbpsQAq8FGhqaPiO8OVjtcfr06bIGINa3sXsLQRhSTUp0+mRt0ihT9fmCIz/VFh+GEBFI9TdG3axAU152Asbl9Ds/19QEZ62Rc/yMrOMNhl3MweoYBLcXGxkUR9/LfroLyYkye9hRrHKtUggA2Hve5xKMDvuomKTJhRWc2nqiBMnJNwu5pELCLa8ysliMVsWT2sPnC+wuYAcFWa2edzRVFRxfc7aw/sCBgwunD5owItUoWMBVtK3kIFPkFY6hSIKsXuesOQqSn6u8sEcppHhcdnu5kh1waUKOhTExJiM7VTEkVTpqkD5GzRuawp2YRhmrc6uEj2LewngFrpOzGi1u0l2bwdgudB91BHkkp43dl0Fusl827dpUfQAAs3Yl4qumZOMajLUu0RRElARdxTHWzwlPo0nzjMtSY1fcAZjhqprRMT3O4esAnERl+LlobYtmtLrLvv41admCdov3tgedg0VDE0H6ywzWtTCY7KSh85OGzqdIoq702PGN/8SDXlVsdtygW5ms63hnjZCH9oETSM+YO73uf2ti1u/QzZ9ZG9aBBiQpt5dU+kDf5rk3w1IezbNwMSQ5XunC+8IKk/IaOd4L1arXIFtJuau27aA4W0EAACAASURBVH1zGze6kTmG6znzwC0SvbKtiZerKTM0utmXbYntjeUVududZgNPok0edjtfogW4e23RXqa3EtF1surqVd+uuW3M4VXLo/ixJdjTnx3PF3mPTRmEDcvUkwS572R1QZXzvlkJYmFX/YlbER/dkmy+bDb33bVbTVGvNQbsVJMdKgSAwc9vUsnBBUbldyBgYwVqfLJpBPfybrsOFtcC7Dh2xac4f6DMd9xt87jYMmHJ3ylldJP0Hnj2Ze+4DQBCzLyXZEpwYXbPIu9XQGHy2XJi7B93oA/frnVZuHmFyIDUdveO0NDQ9Df6r8C6BERQXfJYXfJYiiLry06c3v4BHvRJtalxA2/hCK4/QwmKivyK57tfppAUvO/2So3S1+rQfbdXfb8q9r8r4h5YXBGm0SmKWrm73Cd6JEz9dwzJT6jmvfFD7jHh4d1uZRvVm0IORDCCrYVsJQCAQTpN8gdxyUgAgJOa9MvOf7y0RNhpCnx5vZ/kRNcV7K8pPEgEffKoAWmj72Fxr6hBwOAFVXOCXVuiQrgatjzN63Fy+HKSPcEKJqypOP/7hT1k0Gsho1Fm7MkLldNGdySwri2LcC1sNpauth/zGSFbDbGWUHHlDCOYQYlNvLrvxCxPo+M8u/ifQcXkQGcuk1A23C/5gV/yGs6QeKIfQwBwxC53iZIQhEFlvgEgRK05Y5Wnz9ewzTeEwAIA2IK8S+8zhPC5hxqf/dugj944jyBUp+fS0ND0B64DgXUJCBFt4iht4igAgL2xvPT0BqelBmVgsQNmqGKzr5dULbKnAiu3QBSt84iFwS62d7kZlTXcKK1XJGh9ysuPFVnt2N8+THvliSK1orXG+tOdlXsOK//6YfqrTxZizBAXOvQHgv/bXFjKWhKSROMeAhFSPsYmGQpt5wG/jXSlEMOSBhSzmv9JCDKvDMOKDalvrNZp2s2tsdhce4/k/bblbC2waFPGDr/tzyijpyXCryB15OKSk2sHTnq45bF4kEU8SFD57uMT7SzMqdd2ZDLg8fr+9e1xuSaBx0YQ0i0RMqsbSZ/X/dj8eJGQv3pXockenDFclRCjnDshrmTF9+ao5QAAytsAOaqW180U+uS31QrTAQCA8AbU87vyJ0GRfqetHg79CiAoAACRtKxTQ2k25bekwO23js0oWB3emde+xM1Kra4ridG1fDcQhLp3YdX3q2LDd+dDQ0MTWq4ngXUlImX8AGU8AMDvsVXm7iw5vR5CRBM/PCp9Uj9fQPSTKEGS3U0u/uyHRDaL+HVDtEblCwQQrw9FUWrM0Kbm2gqllfx9RxWGei6EFEFAJoMCAARxmJVh37FfbXMwBXx87vS61CsKu0tEgTnT63MLRNcKLADA1LGN8dHuF94c+Mjd5ZkpIbOLPldo3HrSbVE+CbtsqBc+YNOBUcJ9jU3b64hMj2phZGLABAfPmiaiiEbZsrEUJwgUQc5drNx7OM/mcEvFglsmDZ5FyAtEy0M4rlAeY2+8ajcD4rgY9Ji3nVGMSGRG6doQPHUmx56cek8AWrwsb+o/a5onpUiCwt1MrEDq24YgyM/biorKahFhyjenkmVHzyeqgkPiqB22CgBQ5PSj1LiNzelKFKCC515Hx68BAAR1SyAADPsZlq/ArepoHgsyuGD4d20W1mJb9iy4JRoAELyBfGVw8ahj+ScvCSwAwNCB1iOn5Idy5B34UNHQ0PQfrleBdQkWV5wyclEKWESRRH15zpldnwR9LjZPEp0xVRk9qB9OaznI+Ff+JXvliVqZpEspq6dyJSs2Rc2caJw6thEAUGvkcDkEn4cjkPp5ffRfP0yHAMToPTMmNETrPO114nQx1m7Xf/Nr3LwZdakJTpyAGqUvWuv56pf46eMb2jwlPtr90RvnP/0h8cRZWe9vmt0e3887yiuoMXj0lMh8JCQBEHipUgCraecode7s8UMAADkX6rac/8ajf6jvgwpKx58KZuUeOCQmikHAeuZChbGhUSMmb58x6IHFUySilluFM8VFgPC3mf3dY0TKBKuxWKJucRRgu3Iy47knwLK68uJy4/67ZiRTFFXfaNOqJACAkxdqVmw+LtSPCTI1XlY0cBYxcBOTdAVRcUCYLbasfmHZ8E9W5NfIHgPJCGAKIcpuAFON3npezTqolUHIYMoGUM6LOFsPWDKIspFR3zWPSxE+ym+RuH8fHEPutFVDXjQAAOY8SGX8H+BdYwbQzjYXFtEoFKj8gWDQUQX63Q7dnsLgVTe2/n1+5v6S5/8+aPQQM4rSC4U0NP2d615gXQIi6KUFRJ/bWp2/p/jkGkBRMm1adMYUnri//O6yMN8Dd1/84sdskrxKaQRxCCFgoJQ/gNwyydh8k/rJ94kCHv7O8rxLv6c6tffSKffdXtXFQQV8fNkdlRQFNu3WrtwchaJUXQNbLg00lxttDxSlnn2gZO8R5T8+SfvLUwU9Fqsn8up3nift6mcvuan0PayCV/yqBUA+CgBABR1xjJOzx6c2Hxqeqdl+7FTIFUxXwIO++pLTtcVn8KCPK1TGZC0epkvHmrYnxpdfUlcAgCkjtCVbPrcJJiFMISKMC0HhLgBSRtyZu++rYbNebn4YZCjs1rOQ24hLR+daSMWJE5OHRn38w54JowaX1HkN/viZEwZOG61xON1G0zEISCGfx+dx7M6KEwWnsSRlaVWTzQOhHAMs6aUhIEfjiXmi+VsTzHyHX/k+BJQz9iUAwKVvgqj+ex5ixoMBAZsNA02AF81s2o3wZP4/1BVm3oMw+T7hyA5ei5c/ZPvRoxiDsGqfvhF2Gv+BmTGowlAaF6W88sk7ZtWs3qpfPMcQqahoaGi6yI0jsK6EzZMkD78jefgdAABLXUHJqXVumxEiiCJ6UFTqRDZf2mkP4UOAVyTEav/vmYIO2rz0z4FBHDl7QZyW6Lh1sjFUQ0MI5k7vdrnCKWMa2Szi5/UxSxe06Lmcc9Kz+eJld1SysM4ztEorm7bky7xRSyI7l4gzlUA+AgBA+S2Khs/uWnBVmtHTi1I/2/Qfe1RflOYiCbyh4lRN0cGA14kyWdrEUUNnvcRgXnYzDMhv2XrynYwE2aUiDmqZ4Nl5oL5hr9mF5FV6jYFot2rRpVqmPYPFFfncVkBRzbO8AemkQnc8g3QQAASlY/cbLHnl50H6K3tcYqhUcwz/HT8kFgAgFPCEgsvKj8fjzFe3bDRZvlT8zopvnTEvUQErZLXxJ+ZULWEEraSzHBFc4dNH4W5SZNcs3VRyAKgGAwAo28VgYssHQfkt7jNvsbLf7Pi1BMWjLhoOsKAP0cT2/B3pf+DySXtOn3zoaoE1aoh52z61oY4bpW13xpqGhqY/ACkqAlPNX3/99a5cEDvy4c6bhg6KIhurztUUHvC6zCjKVMZm65LHsnl9XTsntumdJxd2kliN4/BQjlyt9Kclhiz/qZd882tcVS03K8P+y/rvstKfvXt+9YpNUa893ZFMbDBZT1w0nzXwnfonIr5Wyy15A2JyiDJihJYl0+Ou9Q3cdbRil2UuEITFhJsk8Maqs7XFR7yuJgRhqOOG6tMmYOx2qxJQPmMW/s3SWW3bG5uaHP/Z6bLrn+5lVGVnNnGEiuZJXwAAevHvAeMxbtbLfullX3ZO3c8J/MqsJHFWqrrTDksqzTtzGiQ8ssyqdGgfuHZGkHSWg1OPwfEbgLcRcvXgsgMpSRGBZpOf1qe4qxGevvNJO28dpPwUt6P0/OsRQd2XrywUs7CrSm0FceTFNwf+9fmLElEnaQYf/++ANGb40qV9sVuWhoamFTfmDFabQIioYrNVsdkAAIokLPWFxTmr7Y3lEEGlmhR96gSh/Jqcj1BDeQxxys6lBoNBTRrdR86AXeShJRWBIFJYKtCpva8/exFCIBYGn//7oAW31I4ddjnllqKo/JL6o/nOJh/PiSYGRPNhVL8opaGWCR6f37xM3HZ+/dQRMad/W28W/DlUI5IEbqo+byjYF/C5AAByfUb6mHu6WFgEstUXLZN2HT8+fWTstUcVcqFOaLSTgV5OYsUNuuXYhjdbBJbXgOENkrhsi/8qoxoWcCy7LbXjfiiKcrq9LCYjMUaaFCvz+vxfrCm0E354jcBC+HHksK8hyuHUfkdyo/xRD7YcsJ4jz/yZNfgNXDq29Sm8NkqStgFHe0MmJdkFM46cWzt5+FXCkckgX3701L0vcn/90CPgc9s7l4aGJrLcRALrSiCCynQZMl0GAABQVFNtfsX5bS5bPQCAL9Fqk0bLdRkQ6YlTW8fIm/43Y1rfOhyHDoxJDkyzy6X+5tmoJ5eVAgCWv53ZLLCqa5uOXLBUmjErewwpG9E85dB/thg4fbDj6k0IiuglgSYy2JvC3G5bfV3p8SZDHkkEGRhHnTB80JTHeratNSgde8BgkQqqhma0kT44cZC4+MQ+XDmjx6ECABCUCQAgcD/KYDGducPThSMGxZ4pzD9mDLgVC5rbsIEdAGWH3YCKqoavttazJEkM0jYk2l5Q7atXvQSxtvLtIET4MQAAb+KrFBm8/GFIspFR3+Pdd/GjAo62B7pRQATxhTX45Gsss70+kyk4a9XeXx6Y2/Y0Jw0NTcS5SQXWVUAo12fK9S0FilzWuvqy46Wn1pMkwWCwFNGDNIkjQ1PR1J4/IZPLYNw47/mB44rYKA8A4PeTht2l+qByKdD10xoZTcJ5n6/+6ZH5qR2401g9KOR3T10ReMBUda6u7LjPZaYoiidSa5NGJwy+DUFD8Cn7lXN2nXsvO5W8thJpfLQy6sSxcnIS7N0kVnzWrPJz25KGzifYccfqGi5U5CH8aARtWXhCLUenZXde0j0uRqWSmGoV8yEmOmQ+RCiSOxU9FOGF2FUl7CFXDyiSWfZZIPq+rvslk8fuRUb90KqrGwyLj3/tvUFMlFIprDxTO3xqbWWMrr+Yx9PQ0FzJjXOxDxV8iTZp6IKkoQsAACQRbKg8U3DsV6/DBADAOEJVbLYqbgiL25MfdLFz7/CBuhCHG1H2HFa++WL+8fO1v1fEB7VzIx1OR1D8hErG4yt2f7v01razrKw2ZyPRedFRksDNtfnGilMOUyUAAGVgypjBaaOWhMlUwCq8bf/pza1WiHCC+P1Etc3hg4reuuBpEkYcXvVq0tD5pDA9IEw3AwAAoHyNLRdzpnDP+aChsWr2uI5WzyGEjy1I/mnrh6XMhbh0XKeDMso+CdbsBBM2t86sgghw5KGuYlLShktpm/DEKpejhCEf1sX21yMOLMNQWxStv2ppm8lAl84+88HaB9aIT7ywhBZYNDT9EVpgdQSCMjUJIzQJLZZ5AZ+zsfLMhQPf+dxWAADGESqiBymjB3FFqk67ogivXuRkoJErX341JRX8DTt1NgfTH0DunF0zPMvSg064HKKwDNuyv8A34NGQRxh62MryOkVDk10lF117EEEgaGvDBx70mWvyG6vPOZqqAEUhKEOmy4jJmCKUx4Y9YAAoYeqx4i0jMrw8XottotXh+npjdaNsKUyIDcnWARZP7HWZOfyWizRFBiXlfxHK4xxBkU12R73q+SbzkfKVe/UK5qRstUTc9twSh816eGHmL9s35toJQtTalLoVqK+GyvoX0VbeenDQp91KLGMJo1S+ldUuKdUHFfkjBM6OrzKeaSWwAAALp8as2Hy0oYHXFeciGhqavocWWN0AYwv0qRP0qROaHwa8DpMht/jkGre9ofnSK9GkKKIGStRJzdktVwJtucMH9Jd01LIq/opNUc88UCrkBwEAy9/O1Km9V1bY6iIvPFz85U8JVtOf/Gf2iIfNCkOkIcapvn/r0Xfun9OGwBIJ+Wr0QiVFuu0NTTUXGqvOBXxOCCHKYPWloroWi/qR91Z++tztWpGQDwD4cXuVSffKtfnjPSZlxJ0lOWsGTm6xhoSQERSP0UhqYVOd01dDsJVByZhqMKbKbzm/Ze2MAbWjB7U7C3v3LanIji3nHAghHNjBiP6Md9s91s0VT5v+mUDeY5BnpsANK7AQjqLB1sZuQQSB3//L89Lbg3/YcuzeWUndNYegoaEJN7TA6jkYR9jsQt38kCIJq7HYVJ1bcnItSRIURTKYbIk6Wa7PEKuSUARx+/vFXSZJws//F//28guXfAZff7bg8El5DwSW3WEnWJskA5J9yvmhDjM8IKiXuEqaGE22/GLDxeIak8VRWWcv8bzAV6bI9ZmDJj+CcfpF9jRkChzKxXkl68YO4bvcXhOVGNqCqEJ5rL2p8orxoFu77LjfAvg2eEXBKsiSuqMe2nxxlVpqjo9qd03qrpmp3g3rL3qkgKsPYZDtAZkCT9r7kBV556UwwuA5bG1vkRQK4JjRx4tqfFabUy5t47aBhoYmgtACK2RABJVq06Tay5t6CDxgqS9srD5fdHwF33mQN0CxbTfUa2TJ8ZqUeK2yrYWqPuCDb5LuX1R1pYszh01MG9e2YU7HrNhrqNO+0stiAX0GHvBaa3MDhtNv15/1+QPNFeA0Sklaon7JvLEyieDgqaoNxoWIIDbSkV4FFXSIbVv4iVwAAJuNsYmmNswje4dIEX+lbQ4AALKkoK1ioSSmJonGjntbdlvaeyt/NXFfDnGU7QA5nRfout4JUO3+id07K9nnC7DZ18ffIA3NTQUtsMIIysAUUQMVUQO5dT8+PjVarRBRFGWoM5dU1q/dfqKhydbcDAKoVUniopXx0aporZzBCH15iEvsO6pQKfyZKfbed3W2sL6WOaF/qiuv02RvrLCZyu2mCiLoBwBACFEmW6yIUWDo/YsmKmVtqFuZEAHVIXhnQovc+PUzC9VcDhsAwEBRFd9mIwkQ0hoirWxzOoARrJFLW/YVbjlUVWfyLJudiGFMAABJkBsOljvd+NJbktWiYCMZ6OUOR5pLILAjywRaXdHQ9E9ogRV2KG/dAEWtWpEEAIAQRuvk0Tr5lDEDLjegqPpGW3l1w+GThYY6cxDHCYJEUQQCqJAJo3XyaK1cr5FJxZ1vmO+Y/GLh/uOKvz1/sdtnqqfbXQGRSAQAePb1yV4mwsKYbFf1GxPSampqvzoama2ReNDnstQ4LTVOc7XTbCCIIAAAAAoAyBUqRIp4ZXRW0tD5KOOqBTUqMHPl3s+eurMNgSXgMhmkrXP3n75FyPI1q6tmdBJGodcM2Z3UpuoWrWxzOsAnm/W/re89uiCdxcIKakCD7Im3V/+WKLMtmp5UZag/YhoOBcn//u2HcRnMhgtvNaqeanMarFeQBCD9gNFf0hn7AIrwCdhEpKOgoaHpNrTACjtS00/z7orvoAGEUKuSaFWSscOuKplNUZTRZKupN5dVNew7lm+2OhGkxdoIQogxGVqVVCUXqRQihVQkk/C5nHZTcwgCbtylzS0UvfFsR+Y27WGyeB546OFNmzZ99dVXdXV1CoUiOjp67dq1ixcvzsvLA9oQLAZRQRdiO8sk7T5BFsLVAwAokvA6m7wus9fZ5LLVeewNPrcFAAAhQpIEgjAQBBXIowXSKG3SaMHIqFZCql28dShha/MIn8dlEG2lE0cUU0DpDwSbzVL8/sDZKgJGhT7lSJs4qq7s+CXbnPaAmKha/sIHKz9bOk2lFPiNTL5D/8QZT239r1/dOkJIoSLI1Tdw/rKhbLcQnGE1bvJHLQttnOyG9WjQ5I5+LLTd9mcoR0lqEifSUdDQ0HQbWmCFF4Zp18xsLrOzVT+7k0mSsNlZrLKGdypXgjHJ0UPMGqVEo5QoZDyPV6ZRkgtvqUXRlnRXnz/Y0GSrNVpWboa5BRacKB6cUcthEwAABCIUoJwu9PxFMYRcoYAPoXDk4IqZEwIFpRwOGxMLeWwWswNB1op/vfV2enq6x+OxWq1Tp06NjY0VS6TFxcUnTpzo+ltBkYTf6wj63XjAG/A6/F6732Pze1r+y3TlJUstYpHAUGevJzMotgoAyBHIOHw5V6RSRA3kDdCExDiSQtgDk9vO2uHxOAzS2t8EFgmQS6vG/9taalE9GY49+VfZ5nQIxCTmqFe/OLgRs1wEST6AYICrq/fNKSxdiQJvs/wPSsfbLExSMSE0wVnPAPFAABmoNUfHuIgz2e7Oz7lx4PpyE6Ij6U9PQ0PTM2iBFTYoim1cPVJXNSSjXQNah4v5w+oYYyNbKg4wGJTFhomFQQEvOG5Ek83O/GlddIOJjSBUUpxr9BCzx4f+7aN0AAADpSCkcAIKeLjLwxg60PHO8hqrPePfXycpZT6Xh+HxohQFFTJizVdlGNNld3rsTo/N7rY7PYZ6s8vt8/mDDpfH7fGzMKY/EAQAIAhkMhhOl1cs4nm8fggBm4XZHZ7mOG+Z99imTZs8Hg+LxTpw4MCYsWNJggIAPPXUUwsXLvSefgUAgDLZKMoM+Jwsrjjod0MEQRmsgNfBZPNJAqdIgsnioUw2k8XFUFzkz2X7a9lpr7Bjs1lcMYsrBn4LZj0kIorHjyfyqoAl+pUwfSwIbudz2/7aszAmSrY9uRURqIADUAQ7WI0iAwEADqe72p8EZWG51l5pm9OV1gH1goB6wWWhJ83Oqz7MQkp9YCwAgAo6o71rnWU7m+L+3ptMLIrwSWo/y9Y7DjRZMeCdEls0cWj6j5suAsIf2q2U/RaK8EVhFUJBJ3aQNDQ0/RBaYIULaD60KKt2QOpV6mrzHs2+o0qMSXI5BEECDptcdJshLqrtG/KR2a2Lfw7OuOry73IzKAoI+DgAQCIK/OOl/MoanlgYEAuDV7RicTksjbJ3cz/K7OmTxwAAnn3yIUO9pckJcQL+6dEXAQCrN+9/Z2M3euI0rB4sK509bsKmA6VHA3oAIdJcFp8lDajnmgDY766H8mBn3fQcSLhE7QgsiqLIflOwkWk5GBfcXGEMPH5fS93Oo+cbPOKl4St2FJ81q+L89sQh83p0NuKIfvbyA7bCiqYjvhIIux+v7QIJmWxvoRyWyHmBufP1Ql7MhR93q2TCYWlRq3YXl3njgeimUFcAAG7DmoUz2zCjpKGh6f/QAitccP3FcVGX7VMoCrz7n5SUeOcHr58P1RB8Ht7qmVh9eBZPGvc3/3/VruKPN1pH3/leD/qgyKCw5stFo5ipiUkAgMHpOs/ZHwVM/xHzHCC7bGYLueG9nBD81IKqo3F/WL9QFLX/RGmDnZTwGYk6NgFCsArZWyhKXP3uiBRMzNOWOwGKtqwPGsxBRBzGN0eTMOLQquU9FVitsese77QNRXgheim7iGQ3rFeCouEpLIoCsRqhRhV7qeWTd2au2F317ibCKX0IUd/QVa+uALWdGaqpk0s6yuDsmLKqenFUf9u2QUNzs0ALrPCAe+JFRj7v8sT+dyvjxg5rGjPUHMGgeonD6b5oUgBGT5KUqIBdXv/Jg7N1CmlL9c4EnTBBJ1y1u4jkxvZlCWqErahouPwSIIS7cwl/3NOUw7G3rpBQj43UFBZFBjgN64XQyEO9t02VR2vFP2wuDKqXrvv9u7GDlEcv2uu9KhBmU2MW9yrbnLBAUaSvAeGoKUcxt/j/3NHPIPIRABBCwyf3TRHG6Npwijx42rC/ALWrnoIi4c1TrRyxn8tgbJ07Ma3zpm3hdHnf+2oThBChK7zT0EQIWmCFBcR2dvSQlothWXXTrkNVCIi7rtUVAGDVXoNb/RwAPZm+wqyHxqQxj+aaUNQ8e1zLsqnT6c5vVCL6UFYc6BSK8NWYicNnqsZmxwAASJLCeLIAJoSYkOTqI7ZASFFiw8eP3SaVS3R/PEHVO7hQH3PBdW/+yVpCOhxq2B330XtSRy6+0jYnHFBBO3LyIWHcNBXXkT5pZGXN9rKKPRIuuOe2aJmkdSESp9P9447KauwWImp4f1m7DT8U4RMYfxiX4J4yoofqKudc6U/rDvzlqYUrt4VsvpyGhqa70AIrLEh9RxKi4wAA1XWWFZuPPbpkgkxSEemgeoU/EDS4lUDC69npQeWs7dUYwdIzXBfG2JzNnsG7cupcikf6+MIJAYSO/G2ns6NVZo1StC+n0i24tW9DaA1iOSZx7V0yVS2XXK7OVVbVYGUPBQBQ/ASKn9A375JQHnOVbU4Y4FW+P3rKpJmjtQBoAQDjsqOanw/ihNvjazJb5TIJj8smCXLHscpTVXy7+iV481S9IgMAAHnNe4/Oi5II5Z02vxaCID//cQeTwfjkb/fTDtA0NJGFFlihhyJ8MXIcQaDPF/hqbd7scQNlkn7hatcrKIrqTWFuCIPy6QAAP1v/8bZfpYw6jYjKsyVCdZ/vP0dZ/oEfQ5by60MbENLu506gJB05E4cEpvWI0HfWhei9wpFIs7UL7uaZ1gkRCwvxjMngZaWmtLocHsqzk9KR4Q7sWq61zQktAoFk5ujo5n+TJFVebTxZ5DTaMSsuwRExzohS+vaNHyTee95rkdxJ6ftIWfYHKJ9JbXyfwcTuuy1BIuxJVeEKQ+OH3255bOmMtMTI1P6loaG5ElpghR4IkXIT4z9rL1ZXFEOuJjG6H+RN9xoWCxMiRk+v+4FMoUv3qAuQlT5zpLKVIUcLAPBpbg/3QIz6DUHVLMpTP1y4f/68lNIqY2nNDwU1wB4QKjlN98yKEQravRB6cVZEbIi6bpvTM5pYI05dOKVRcNcdaDTjcjcrixIPAarLc1QNnpg15VYyanCYAuineOs0pq+eWTKYyezhb/IPq/fXNVjef+1erKc90NDQhBb6TzEMIJg16mVP7S8Lp2OpCToe7wapwizneevJUBVQQBD2Db4XjNW4eZwuL7cylyTJyQvjAQCJMfLEGPnMluOdZJ4hkAp3hG3SdducnkFIx66/aKYo4Ff+CSLMaxtQ3FiKGxuOoSOMt55pOxbgpEBxGgBXJZ5Tfkus7avH7kpjMHryg9zYZH/r8/XzZw5fdsfE0IRKQ0MTCmiBFS4olBsXpQQANDRa5HIxev3v5clO5F4ozOukka9BYf5RiLkMcExAPr1P4uqPULgnnXdu5ri0meMAPf8d8gAAIABJREFURVE9yIbxBSP2t6lNGl1XekybNDpM/ftVcwEAN8/aHwAA4J7qHSeHpO2wVq/x+YNI1j99x14PoItSBxr8QVTEND+0ILVn6mrttuNHTxe9+eJiPi/seyBoaGi6BS2wwgXExF/vNLiBzGU4pZFxXr5/XKQj6i3pSVrZyR0AdDSzwqv99tl74jcdLK/03dRZIJSzPCOpZUNAz3KNERDGaqsdEzfwluMb/xE+gXWzQZFBce2niZqZXHmKKfUFBkkABBVmLsDLYhePxfQaLwCqHnTrcHnf/2rTsEEJ//6/+1odcjrdAkEP96PQ0NCEClpghQu/dJIfTAIARBPFI9P5JEkhyPV9085A0bunyHftWU1565rTmFpDUYxg03/X2qu4iwlxRp8H2I9Ag00iQRvrX11n3ADe5pOf2nUPXlGKs49AUAZFkV21zaFpE0ehwLGPw8BZDJyLeubcqv7yJyaCW9XGDyRsl9nFBKT3sefR5W9nffr3sz1Q4HuP5O3Yf275E/Ol4jbS4X/YXJgaL5s2Mrb3r4OGhqbH0AIr7JBM6ajBN8h0TrRWOiZTOBB+c9p2CyEe3vowhPbUD+2OiwDr09JW/RBKOnzdoX1P3SHHsB7KrMGpqkZTyW5T3pVl7vuMhKzZ5ee2Jg1d0PdD3xCQUbZvnrx7xJWJARQFnliU9ce/KYIgGAzqrrnVP62LuXdhVde7drq873+9KSM56r2/LG2vDY4p8uq403ocPg0NTSigBVaYoSgWDI99TYRAURQnAIW2u42cY95jK9nAGf4+Kc7uy8D6Fwxuvfypd1f/rBZ4HV5mkAQaYUAhRKeOjOn6NrHpYxPtO7flOMVAEK6iCe2hThheumoDLbB6ANN6CDiKCeZVaZdmK+ZyX/7cIYTNGVdjhpp3HlCbzCyFzN+Vzg/lFKzfkfPiI3O0qo72JkOANKkf9ZFbevoiaGhoQgAtsMILtJ4ck3njJEM0WRzHLzR6Ut6iBAnttfHGPc2KfZzsgcvvDQZbbtM/awMAiAAAwAQA5ao/s/KXJFVgWIooRq/sdMkYQigS8qCFish+QhZP7HU2cQQ9KXd504LY8zxn/ilQZ94+7ypN/N3KuOVPFLV5ygsPF3/6feJrTxd03LPD5f30++0xOvkHr7fOuLoWBhL0B8FpSxYAO7sePA0NTWihBVZ4EXkOZ6VGRTqKEOAPBNftqyiwRjn54yh+u+qqBUh/r9oAcjVW7osngo7TJ88KD52NlrhHpwttHiK3zC3mIVOHaVslJlMUdbIMoaJTIhJtyohFJSfXhtU25wYDOi76Tz7H5MqeXpShlAmuPOT2onJp23NUbg8jr1BUVCZISXC21/POA+d2H8r982PzFLIulSxO0VCVlspDVdE3SIUYGprrE/pCGF78iMznD3DY13eysNvj+2R1WZP6cahRAPjXSIdzfQOZQkI+wQomWHDP+dPnAIMPRJlUwHZ28/oJCdVTRkRfakkQRAD2pKJ3SOgD25wbCV/5Ca6pYemdczKT5Gx2VyvEHjklW79D9+27pz74NjlW51k0x8BmEVc2sDs9//56c1Z67Puv3dv1YCYOjT6+elsT/3F+UNLnVgk0NDQt0AIrvJCIwO+3X+8C68ftlU26FyAzYhf7GxLI4AJ5SykEyJJ6dA/srd1r2310YAJfIROXVNusLhzxOSIYoViZEFbbnBsJFev0rFuTv/1t1nt/yQMAb3WUJNtYDv72tziChO+/lgsAeOPZixeKhG99noJA8MwDJWJhEACwcdfJY6eLX3p0jkwiuPb0DmAyGTEi6/mgq9Yl7my2mYaGJlzQAiu8sPF6geD6LlleUWs1BZS0uuoDArIpR9zJR87UcIg6P3sIicmRxEjux0wZcee5vV8On/3nCMZwvcBhBLIzba8/W/D2FykAAI3S99CSCiaDbD7KZhF1DRytynup/W8boxQy/9zpdZeeyUxxZKZcNNuwNz9Oe+nRg1/+tHP0kJS3l9/ds3hmjdYU79xa5UF78ZpoaGh6BS2wwouM47nea7ivP2xxaMLlTEfTCoQXBXhRzdk6Ef/eYByhz2UOn23OjQFFBtnGdbFKHACgVvjefDEfAFBcLnjj3+n/+vOF5jbP3F/6ytuZH7ye2yy5LpYI6xo4LzxcfG1vUpGfhf3vkVcu/vLJwt4UZ5dJhCq0qBDQ90U0NBEj4r/hNzQUycUCkQ6iV+AE4SYEN+P11VksqP0as/xOBWykoxRQZKQDigy6lHF1pcciHUW/RlTzxZOTHbdPib3yyeR45/gRTT+va8mo43Hxp/9U+u1vcc0PV27WP7ms9NquSiuNz//9f4lxrqTRM37dUe4P9Kqa/31zB918f7c0NP0IWmCFEaZpx7gBskhH0SsOn62xC6dGOoo+hfIYJIZ/z5Bt+L/FErz0f2m2Nxdo10sq/9mqGWb9XVD2dwBucOEVN3BmRe6OSEfRf6GcpWOTA5q2qlLNnGgsreLX1Lfs5EuKc9U1tMxIEQRkYVd9c4I48cn329ZsO/7Oq/csnT9KyAoWCZ78dFWhz9/zOzQh5uOxImMZTkNDA2iBFUYoXEOdSoi5jssIURR1otDf91UuIwUVdAoMn45n//LyYv20UfEIAgelx82amDF2SJxaelUuC+K8OEKUc+cEOdO0u3UnfguxbwZ0lfRh4GEEQZkQQgLvUhnMmxCJfdv4Ie3WYXnl8aJ3/5NS18ABALjcDAEPBwDUGjnROu+VzQ7lFLz0jx9vnZT9yuPzMCaDyWQgKApZ0nrV85+uKvZ4fT0OT8ymPzgamohBC6xwwTZuWDBOE+koeoXPH/AQN0slHSro0tS//+ICydxJiUxGi5y6e1amRiEEAEzMkvMMXwEAAElw6n8ZxNg4Z2KCTMTG/BWt+oEsKcx6n2LfIOZIAID4QbPKz22LdBT9ESpgS5S7mmuytwmbRbz7at7bX6SYzCw2izDbMAAAQUAUaZlYsthcb32+vqrG9OEbyxJj1ZdO5KFuAADEREbNC/9eZ1m5q7hny4Vi1g1lI0FDc31BJ7mHB5Kg6jauOpCOMl1uP5Rz3Wl6VmaiTCK+vN2aoqh6Y1OQILxen0jIl0pEx84ZJg6Pj2DUAACX25tXbCQAGiQRr9uP+Y1u3AMY3MhGFXYoXFb38eN3JHE5bacVJ0RLF400/nx2K46IF2c3ZiQnAQA2Hq53aV+6Ns0FkQwIc7h9ijpheOmqV5OGzo90IP0OXtO6W2d3oqTZLOKfL114+o2sEYMto4eYn3o9a3S2ORiEFEX9sv7Q2fyKV59ccG0VhluHClYf/peLkxXgD7brnz7paypd/VOszDs6QxSrV8Iu50QKmZEs80FDc5NDC6zwgKC+AZ/XYS1lly0UVWis2FF2XkrkLZmqlYl5v+cYzlcDKyMDZyhwErApK+avwjzGsdnRHdwQh5vDZw1785l28UKIsAAAFIohSVKAXMc7vSkyAHA3RLkAbacUGUkwzHtUeM49s/Xtqatm9Goh331CxAVpiQMAAARJGj0SKOlqScmuAD0VnJrv3bEvQqxLBbv7DBZP7HWZOfzrO6EwtFDexjSpUdiFBXQBH//+36dKKvhbf9foNV4Om9x7pPrC698tXTD+ngXj2zwlJV7+lzhZg8lwqjD3dI3UqXvQqn/OinvOnzguPnhmVBKcNDymK0GigOi8EQ0NTXigBVa4uOoaCSEiiPcL4uvJOZ/+vgEjzU7JYqhr2WHEAAAHAAfA7TN+tvqLJ25P77ofcKggSeqbDRfL0VuIqP9v774Do7juPIC/mZ3tvWp31XsHAaKDbEBUAcaAKA7uSVwS59zi5O5yKU7P+S7FjsvFsWPHYBuDDaEYY0wzHQQIIQkkIYG6drXa3nfm3R8imGBAhd2d1er3+UteZmd+K69WX7335v0mXZs2HnG3IGFPK0HykOCrqRbSciyP2SKUqsxunplO8+lWIJKDEEP2HZP4zku5LqXAO6NUlZWWP+DJZRLRfzw05tp/nm/osotmhrd+hlIGlNPFLb+VSMRm5RosYnk485rcyasbT2yCtjlfwVhtenP5mvTBPyM73fX0o41uj//lv31KUQllk/9r8rjO2xxPEIRep16sU4/tsr79xeuO5CcRJWK0s/vQ7F1dp5s+3vbw0lwW/xgDAAwIfj6ji+QEDCsCt8guhEDfpnrqlY0vf6cyn8fjRrOud3fUNQoeROK0aF40vEQ9G6cmtrSbAh2WBC8vMyhI5/g7ZN6TEyZmluQlIITaTbaP9v7KEVQo+fby8fLcjAQOOcw+IiGa3nvKjJJKwvoKEMFThLTz+cgrJc67PLWemAlY0DbnBqKOv66dreEP5YcUY/z+1sPn6q88863FCRr5b1+T1jbICnMGnsJLNijnFLX94/IpWlna/witGH/Rl/jqpteeWl04+OlCAECUQcCKLYRA26F9esNnr2YmCrOT5HqdIgoXbbxsuuCfgrRpUbhWhJCOunRh48LpuQihEE1391xs7jprVPMyUlJI8upvoCSd4pk1/d/PO7r5AGP8+ub6Ds13EBGRe0Tc2mWX0LJInPlOjN62Oc5LfPc5TtDE44QQQxMcnhBZF89QpScNYcL0bO3ltzbuXbV42n3LZvQ/8v3HGp752dg//uzsYJ4+vST5bOP2FhuF5GOvbkonSGiXrv3LJ+8/vCQv+gPeAIDBgJ/M2MNXNZgSTd0nJuRPj84Fd1f1hTSPR+daw4FDGDMEebPVTpghrScUnmPjUgMLpl/93U9xOElGXZIxUuXsPdF6RbgKCUf2LaJDNdra5mAmyLXs1QTPTsggx83USCQKinNtMeIQ9l6x2t1/emunRiX9/Y8f4nC+SuQkiSvmdO0+mDCvrGcw53liReHp2n0nGnZ2hPL9CcsQQTCS3IvU47/a9ImGZ882kOl6vlYtU8iH1rUQABA5ELBikYhw/tuDZUOagBg2q83ZHUiL0GDMkGB/n7h3Cw97uVyGSzI8kqbIEI8I8igGIbLLwe0VldOK8f88GvNM/0jhnCsbq8jPTIzmRElTVwgrC6J2uRjBE8r8Hlt8t83Bnjal9WOMOAzmGER9c6eo0pOG3yuZYfCGLV+erbv8gyeWadU3uWth9jTTL1/OH2TAIkmitDi5tBg1t5ne3//rPsVKQpZDCPRO4xNOhJodnairXRBsVeDmgkQ8e1LSSG8wD0AcgIAVi0KUsr7ZUpKnH/jQ6wQCwRBNI4QIgrjNx2swGDL1Wvk8rlolD9HMX7df8bLVapChcdCG/TYUtIn9tVmy1sp700TCW95Ad+DUvv0Xjjn09xOeTrX9o8oyTVbqwIvTw07CD6HRsHXF1xizp3U2HTVmT2O7kDvFeE18xwlp6JJS6OGToQAWeIMkIqgMja9ibiqHwwnRDJe6ox7th05e+Gj70UdWz7rVfYIIIYrC/gBJ0wSHM4T91jOS1T9YKz9Sva3uis/kU9qVSwhRMiE0IqHRjyb1INTt7jx/mtbrNCqBr9N3cZjLDAEAdwwCVixy6e/fffp3JXmDOtjj9b26qdHBScGYRAiRlIBBBI82iThevczn8iJHgCfgcYSUP0NPcUli3/mgSzKFwzgS8elQiOnWPRX9rEA6zumc2xLktELKV2u5ahmRoFEo5AO84LtKU8fmuHYff9lg5E1bnMNWF+1Z47W1+z4NGFawcnUWpY9ZeGzrL0ZqwMIY2+ul7i81fGtGAjFhgipBe8strK7tNDsMl9vNf35n14TijD/89KEBB1bvW9b6xvqMJx+4NKRLUBRVNiG1bALyB4J7T26oaSUdnAyPaBwpSUcEQYiM5iAydyCEhJctkqJhvxIAwJ2BgBWjgkiAMb7VBzRDM90mC1/A67MHNh609RmfJ7j/svbCi5AdoU7aRwj51+Z06s3NmKHJ9GyEEINQS+BuxOETnNtt/hR+GAu735+e0rlgSe4wnq2QSVbNZXmdtTFBVSi/cMbTikQp7FYSZSSHwpihQ34ONUKmnxgaOy6IvWckhFkl8BanC8fnG7jcSO3m5fb4X333MwYzLz63WigY1AZpRbmOTTuThn1FPo+7cHrmwunIanPUXPrkUocrFEId/iSX8dFhnxMAEC4QsGKUg19ysflcXuaNs4Qut3f97laTR+HiZnGQD3EEgZR5t8phN4QnQpJx/XEETx7moq+DmQD2dBN+Mz/UxQ+2SXh+Kc/P41IY07NmKtMS0yJ36ShYMz87uP2d5naDR1GOJGlslxM9mSWLm8/uDOOu7pgJINpHEBxEiYf2zJAH2aop7AwqphFcyY3/ytCSrjfTpOaiDFF+pk4sumW7wLDoX2517sKVZ7652KC7SePnSFMqpGUTpGUTEEKo8bLl3RObvQmjboQVgFgDAStG0ZoZO47vvyFgMQx+Y0tzl/77SCVCKMY2acYY2asV7sMKvldAhUS8kF7LN6q4KoVYo1STHPYX0YcRhyQfWpofCAQ/P77x7BVuX8Kjsbb3eoTcSdscwlGrcnymEvu5JPaHKBoTQm5IxKP73xptHc6uhOeQQDfgeXDQKet5L0vVN3G8TCKgth89colTQSsmfnVAwKHuevmRhXq9dnCz7Hdm75Hz2z4/9cDKu26z3CqastPU45oajrivIPGgdnsHAEQIBKyYRZpkK/5nw+YHFyRrVFen/3Ydae5WrIvB5dUcW5Xes/OusdKxeUa2lkZFH4/HrZiZMT6n9w8HD9G6RWyXEyVDbZvD6Tsi8VWLkH1KPn/qmORr25LdIBAIvrTx3b7k5294HIc8CNNXZ8BdzTLbZynyvhX3JEslVxehf3u5dseh/Uc62v36exFCyH05xfH2t1flROE2urrG9jff/6Jscv7vf/JQpK81JEtnZbRufKsrsJDtQgAY1SBgxS5aWtgpznl1x8sLx9knFiWt31lbZ1Lh9OHfNx4BDMdyRO07NL2AP72EhRv6YoEhQaMN1XSj0RKwhtQ2h3TUlan3V5TlIDTATXk8HjdJGej1dJEiA2JoZK+Wek6q+HajgsYImyxcGjMFiWTZvGQu98ZTVcxIT2vq2nz4dwRXkqWyr15VdKsYFy6dPdY/v7NLpZD8+of3RWc7lSGhOJyn1xZX1Z18s9GEENxHCAA7IGDFNILkOlKe3dR0fFf1cbdoTih9BtsVfYVwNehsHy6cqCjKyWK7FpalaekuXy8hGML+kyPXUNrmMFr7x4sWD/ZuhhWzUrRn3m3pZgRcXJonKsjSU9Rgx8kKs3RZyQouRZGcgScZ74TL7fvbR/vtTs8Pnlwmkwgjeq07NKHAcOhkA9tVADB6QcAaAWjlZLu0WGT+WNhR5zA8TJBs/8WMsbB7wxRj+6JFedAKDSG0ZGZa0wev9Kb9lO1ComQQbXMYsu+Y2r33G/MMg3+HiEWChdOHP0DL5w/qxr1hC4bov28+cLnd/MT988K4kp1h4CcIgPgEASumSbveVPEcBONViokF8/Vvbut2IvZXOAm7Nz441ZmVGlOTlWzicrmYG8FbMmPNAG1z3C1JtrfnlmoLsnPjI39jjD/cdqSqpvmba+Y8snp2eE+el+k8f1FWlDtw12cAwMgCASt2YU/7RKNlUdlXOYahpIgc/haI4cEEUvgNrGyhHrPO1nf0ie5iu4rouV3bHF9vmuvt76wtjo9ohRDasff05werVy+ZvmZpRHqD3jOv8zev5hbl1kbi5AAAFkHAil0Ky8dz5vzLVpbJSm9v0EFwo7ojAHY2q2xb1UKnPSDyMmKZ++h982Ebw39x4qIHq8axXUVU3bRtDg559OZXHltdEB/p6vCpC1t3n5w5Kf8PP304clcRi0JyabC3j69R+SN3FQBA9EHAilGM15Svd/F5xusfvLcsueXjt+wpT0enBsJ2Tu3eNSEdzVqYSnGujpz91KQVi6K7+XtsYxhs8Yr7x3Ioy96QfPKQ98wcgW7WNodRdfzhyRWZXO6I/1Q5cbZp86fHSsdk/vbf10UhLN491XykSr10bmekLwQAiKYR/1EYr+SWzRUrbtwnUCwWLhjH+eTCjoC2IrKX9/YozX+bVcSdWpIeH6MRkXOsut0qnYsQQs7G4Lnf4al/J0dBwPp62xxh14fr5qjF4pi+sW5AdY3tb2/cl5Nu+NUL93GitTtuVprrwLE76i0NAIhBELBiEfb3Zav7hIKbfOZOLDI43Be+6KAC6vkRujrHdiqP2LluTU4cDEVEwdGLPmQoQggRFB9NfJW42f+1uJRZsrj57I7s0uUIIeRuKdFcTk3MZruo4atv6njno/3Z6YZf/eC+O2n2PAwKWdBk4dc3yfKzYKk7APGD/VvSwNdJezffM/OWjYTnTE6dZTgv7HwPM4FBnQ4zvIZf46BzMMeSzovjBZ89vLQA0tVgfHm6zSQs7/8aC1OQJIPdeqJJnzmpu/lk/9dq6+Z7Z4/U7dDqmzp+9N/v7z1c89NnVz26ZnaU01W/F5+rPXxS/e+/KfL52b6LBQAQJvBLNObgoCNDbhKLb7c949ypqWOz7R8ffMnkUzr5Y2mBgeeuE4daRDwcDIb4hLsXZ3slExBXQnquaD2fTyxkPus+S6tn3u66TEDU/X6uvGPVvNvsbwS+0md17a2l6JSJAx8apwRildfZK+R4StLoSG+eHgn1TR3rPzlo0Cl/9L2VAj6b28vxecw317Z0dAt//sf8X75wnsVKAADhAgEr5ojNHy9bnDTgYTqN/PHlcoZmmlqrui2+3BS5Tptwbb2U2WJratvq9DJJmVReZi5JEsc3HLegWwcsV7PR+s5DFalqJaSrQbE5XK9t63Qkf3/kxYrwyZ28qvHk5pk5gfLyEdZXuK6xfcOWL2MhWl0vUe+dMt6yc69+0exutmsBANwpCFixBYc8qeJ2mTRvkMeTHDIn3ZCTfuPjWrVCq1Zc/8jcEuG5hp9Z/QKC4GOC9AQpH0fv46aSIbs6WFWcghcujHgHt7jhcntf+6TNmvwC+7vqs0qmSbX3tujHS7lcA9u1DNa5+ivrt3yZnWb48dOVvNibB19S3vXsi2OnT7TIpUG2awEA3JGY+3wZ5UQ9G5ctNA583NCVFiSUFiRc/4jVZjdZDgr53OTENLhVcPAwxm9svWRJegFx+GzXwj65Qs3DZrarGJTT55s3bjuaqFe9+NzqGOzQfM0LT1z8v/UZ33/8ItuFAADuCGsBi4Tl9V9DuC6VGrrVyigtFlYqpEqFNDrXiidn6jq6xEsRJWK7kJiQVVR26vSLDy6bxHYht3Po5IVd+8/kZib+8oW1Udt8Ydj0Wh/NEB9uS66saCdJzHY5AIBhYi1glejNdk8zLRpFd10NgKF11veWLCxguw4wgOYuDxbnwIhfP4Eyvd3ixhjH4CAoxnj7F1UHjtXdNaXg58+vicEKb+WHT144dlr14/8poChMIJST4czPcpYU2tiuCwAwBKwFrO62Rjm51wsB659E3evXzUuEVVCxb3yOour4gaDuX/d67asSemu8itlIfMv9NeISKdToDUlHqi5OLx3swsEoCIboD/5xuLru8j3zJr70owfYLmc4pozvmzK+DyEUChHNrZLqevk7m1JnTzctntM1coIiAKMaa6PlneRkb9I32bp6rCGcDaXGLoNOMfChgG0ZKbps7inkM117BDOBnNCH/34vlWr9Iw7YWayNDaQibeb2PVVsl3GV0+V97e+7f/jr9/IyjS/96IGZk0Z8V3KKwjkZzsqK9t//pFoqDn3/l2Pe+zjFHxj4o3vXfv2pcwqGiUKNAICbYG+ROwH76f0TDiXY319SAZODI8Y3FuW8vPHP3apH+8erCJJn6gt+fvRyH1lA8ORsVxdt7oTVLUc2+gNBdleOd5tt6z/50un2PrJqdkqihsVKIufuqea7p5rP1ip++XK+x8u5e6o5J92Vk3GTPYS3f2EwW/jFeQ5Y7QoAW+AuQvaJOv62bm7iCFogAvg87rNrCz/et6GhUxBk+GqBwyJMOuC/T05vlrT/xWV8BJGj6O8HgqdQZs79y/v7v/vgXFYKqLnQ+tGOoyIh/7FvzFXK478RZEmhraTQFgyRWz4zbtianJPumlfWo1H5rx3Q28c/WqX+5Qvn//gOjF8BwBoIWCwT9HxSMcaj10VkawYQOSSHXFmehTGmaZqitK9uqmesW6dlh3KTua8f2h5IuIftAqNKWfrDjW8vmjG5pyQvYeCjwwRjvPtg9edfnivOS/nR91bE4KZWEcWlmMqK9soKdLZWsWFrckurWKfxO5yUXudvviL++fdr2S4QgNFudH0kxRTs7VZYNs4uxJOLE9muBQwTQRAURSGEHlmSySHJ/gaOKZyzTfZ0JB/DdnVRRehmvXOIz6VMhVm6SF/L5w9u2nH01LlLc2YU//d/3j/KR3/7B7R8fo7Xx1HKA22domSjh+2iAAAQsFhhr1E49+UluJZUpsfyhodg8AR83rWvv31vwa9f/1Ovd50Q2fzSiYR4UAGacFxQOnaJBdgVoPykisGUEJsEHDqECRpTAZpyyWchaew2Msqdsvp89c5txx0FmdrIJZ4uk3XDlkMWq3Pd8rJ1y8sidJWRSMCnBXwaIQTpCoAYAQErehifWWz9Qks2T8oRTByTxIHVp3GKJInHVk/p7TujVknPXNzQ3O0PMYQ7yLdy8oPqWcTXdyj1meTmDVMyA3Mq0vv36fD5AgwOioRf9Z+hGebAya0nmhgHlYdIimR8RMjBwR6Kw8G03ykvZ2SF0XyNXydTpzh6r9iK7uo2XTYkhH+NeVVN87Y9p6Ri4cOrZqkUkrCfHwAAwgsCVmRhJkDazki9VUq+K03DzFiQoFTE7iAECBeNWqFRKxBC86Z9tfVGR2f7vuo/tPXwHLxiH1LycR8v2MXDzgy1c0VlOv+6MTCBgHfDCTkkOXty+uzJyGLtxQzm87g8Hp/PlyKEMMY7D207bO4KqMuj8uJuSZmQbbLYvV7/wIcOmtcX+OBEhJPIAAATU0lEQVQfh+ub2qeOz/2v762M/X3YAQCgHwSsiMABh7B3h4Ls1El8E4sl2el6ihPxhSkgxiUa1euMaoRQl+lyINDI41JqpZzHG1q3IrXyxm0gCIKomJkV2HfikDODkLK5c2/OpJU1W56Srw7PzF3T5e6N24+43L77ls14eNWssJwTAACiBgJWmOGQR9qzPlNhXlphlMtS2S4HxCKDTh32cy6anl69eZ+L1YDFE8qCri6F7I4aXDIM3nukZvfB6mSD5nsPL5KIBeEqDwAAogkCVlh5O5P6Xn90aZZMAvOAIKr4PK6a0+3CIUSw90ON8Zgc/bEzDcNrm9Nlsq7/5Ms+m2tJeenv/uP+sFcHAADRBAErbLCnLcP5l8fXFMHqdcCKlXcnvLpnvTfxQdYqsFc/tKxkx56jQwpYNM3sOnD24PE6g0754Mq7tWpZ5AoEAICogYAVJq7mLO87j60oIiFdAZYYdIrpqc37LGdo+ThWClC4D00oStr5BTHItjkd3X0f7Tja2dM3r2zsb374jVG+nRUAIM5AwAoDfs8/xijOVy4s6r/HHgC2LJie0b5l20WHEMuGM0l3J3DQkSi1cUj94jkTtu+pWrFoyq2OpGlm39HzX56ol0lED668W6O6ozVbAAAQmyBg3ZmQW9752r1TRUVZsOgKxIRH78n/aM8n1d25fv0yhG4ynso4m0WuU/xgJ1cgRCEPh+JxcJBhQgRHEGJQkMY0ooKEyqMoIwVqRN64YcQtMIqO11avSkMIlY7J3PLZiZsGrJoLrZ/sOhEIBpeUl/7s2dV38jIBACDGQcAaPtLVkOTc8MjyTIlYyHYtAFxFEMSqudkT28y7Tv7GHpD4aW6IlCKC4jMWETcg5fpyk6gxOVqFLAkhhNDN72e02Z1Hzr3j8tDeINPrpMzc8SHNnFsun8dY2vbKQ3NVIuHVO/7kUnFvn/Pa0JTN4d6041jT5e6M1ITnvr1ELOKH+0UDAEDMgYA1fArHp0+tKYSFIyAGpSern0i+Gp48Xh8d8kulQ2jDrJBLF838auaupb1598lTnV6DU72EFGivPxIzQUn76w/NFiQbldceXL1k2qadR7+1tnzf0fPHzzRxKU7l4qnfXDvnzl4TAACMJBCwhgtjlcAN6QrEvmsDS8OWnqR9LEnrdnt3HX2zuYvvZiQebgZDikT+Czpux8r5Br1Ocf3x5j7H+k++7OjuWzhr3H8+tfwOrw4AACMRBKzhcjSMTYMtEMEoIhYLV5RnI4RCNN1javT7A4kGLZ+ff+2A1o7ej3cd7+juK85LWXvPjDnTi3MzjezVCwAAbIKANUxS195x+Xq2qwCABRSHk2j4aqKwz+b6+NPjTZe7jXrlunvL+pdeOVzeV9/97IdPLmOvTAAAYBMErOHA3s58rVXwr4tRABhVbA73Pz4/daGpQ6eRV1ZMTdSrrv9XmURotbswxjCNDgAYnSBgDZ23K9X2xvKV+QMfCUDcsTs9W3efrG9sV8jF98yb+MCKu2515MxJ+UeqLg6vbQ4AAIx0ELCGyNuZanvjiZX5FAXfOjCKeLz+Lw7X1DW2kwRZMWf8bXLVNQvuKvn5nzZBwAIAjE6QEobCfTnT8/ZjlYUkB/rhgFHBandv/6KqrqFNLhMvKZ+wpLx08M+lKA5BDLZtDgAAxBkIWIOFg650x1uPry6GNSUg7pktjk/3n6lraJdJhfPvKrl/ednwzjNg2xwAAIhXELAGS9b97oP3ZEK6AnGsubVn594z7V2WRL1q2fxJg5kHvL3btM0BAID4BgFrUAhX4+R0r1SqY7sQAMKMppljZxr2Han1+gK5mcb7ls1QKSRhPP8NbXMAAGCUgIA1KErHp/MXpbBdBQBh4/b49x6pqbnQ6g8Ei3JTnn60QiKOyMa5q5ZM/WjH0SfunxeJkwMAQMyCgDUoSoEXJgdBHLg2Cdi/uGrxnAmRfmOnJmpbO8wRvQQAAMQgdgIWxritbr/NFUwtmqfUZ7NSw+BhvyVJzXYRAAyXw+Xde7imqqaZYXBeVuKapdOjPGGXlWa4eKkT2uYAAEYVdgIWQRDJBbN0BcvaLxxoPLk5FPRpkgpTi+byRYqBnxx1lONsSWE4V6UAEAW1DW2f7jvT2+fk8aiyyfk/ebqSojisVFK5eCq0zQEAjDZsThGKZLqcSZUIIYyZnpaq6r1vBLwOnlCWnHdXQnopyYmV6UthoDFRD11xwAjQ1mn54nBNY0sXSRLjizK+dV+5XCpiuygkkwhtdje0zQEAjCoxEWIIgtRnTNRnTEQIBbyO9gsHj239BcOERFJtcsEsbVIxYvVzWcLxw86iIGaZeu37jtaev9iKMU5J1M6eVvRQ5d1sF3WjmZPzD5+6OGMi7OoOABgtYiJgXY8nlGWMW5wxbjFCyOs0t9XvbzixCWEsUSWmFMxW6nOiXVDIoxK5o31RAG7L7vQcPF536twlmmZ0GvmsqUWrFk+N5fGh+WVjX/zjJghYAIDRI+YC1vWEUm3OpMr+aURnX3tb3d66Q39HBCGS6ZLyyjRJRQQR8YElrmXPors1kb4KAAPq6bUfOlF/7sIVhsFyqahscsGP/62SM0LGVvuXf3l9AaGAx3YtAAAQDTEdsK4nVSUVzHig/2uPw9R16Xjz6W00HeRwuPqsyUm5MzkUPxLXZYRpR87XLp+tisTJAbi9zh7r4VMXGlu6AsGQSMCfM6P43gWTSTJ2R6puY+nc0p17T8Ou7gCAUWLEBKzriWS6zHFLMsctQQj5PfaOhkMnt/+uP2xpkscYs6aI5AnhuhYtG3O6s3qW3amUw1bUIOL8geDpmpbjZxutdhfD4PRk3YyJ+ZUVU9muKwygbQ4AYFQZkQHrenyRPKOkIqOkAiGEGbqv68Llms9spmaEkECiSkgbr8+YeIeDW17tPbuOvrJ2AQQsEBGdPdaqmkvVdVdcbp9AwJ1QnLHu3rK47C2jkEHbHADAaDHiA9b1CJKjTixUJxb2/6fHYepqOnZy++/oUAARhFKfrU8vVRpyh7pyi+DKrI64+kYBdvX2OU+du3SmtsXj9SOEUoyaqRNyKmZPGKFzf4O3avG0jduPPPnAfLYLAQCAiIvn3CCS6TLHL80cv7T/P13Wzp7LVc1ndzJMiA765Nr0hPQJKmP+gHkLBx0aKR35ekHccri85+qvVNU0d/VYEUIqhWRaae73Hl4kFkVk4WDMSknUtHX2sl0FAABEQzwHrBtIlEaJ0ojGIfTPycSelqqLxzcihDDGMk2qLqVEnVRIcW9secuz7Js5Cxa5gyFoaTNV112ubWgPBIMYI4VMPKE445FVs6QSIdulsSw7HdrmAABGhVEUsK53w2QiQsjRe8XcWn255jM65McY8wRSbcpYdWKBVGnU0DUGHezfA27J5fbVN7Wfq2+90mHu34sqLUk3tiB14axxfB6X7epiy8oKaJsDABgVRmnA+jqZJlWmSb02nxjwOnrbz7dUf+pr3Tk+LfST/61WyiWFOckF2UmJehjNGtXcHn99U3ttQ9vlNjPNMASBxEJBYW7ynBnFaUnQUmkA0DYHADBKjMCA5e0Utb7qyfkpIiJYPE8oM2ZPS1cHyitmzJqYihCy2t21DW3bv6jq7OlDCJEEKRTwstMNORmGrDQ9DFTEq/YuS0NLV0NzZ4/ZzmAGISQWCvKzE2dOyr9/+V1xvyw9EqBtDgBgNBgxAYt01CS4dykEXpmE28CjPJHfw51v2lGWeKE/XSGElHLxjIl51/9W8Hj9Dc1dtQ1t2/ZU+fyB/j/KtSpZZqo+IyUhLVnL446Yby9ACHWZrC1tpuYrPS1tphBNkwSJEDImKHMyjMvmT9JrFWwXGCegbQ4AYDQYIQkAM0meLd9bk+8PBL88dckmX4RQZAOWqOu9iiLr5KLU2x0j5JcUppUUpl3/oNniuHSl+9S5S5s/PeYPBPsf5HGp1ERteoouLUmn1ypg2INdDpe3tcPc3GpqaTNZ7a5rjxt0yoyUhKkTctcsnd7f2gVEArTNAQCMBiMjYGF3u99l+sV7kgBH5RUuwqrxEb2c0LT53hLruDzDMJ6rVcu0atmU8f/SlDoQDLV29Da39mzbc6rHbA/RNEKoP2ZplLLUJE2yQZOoV2nVsrDUH37iNKszoFTIEEKTZlS4yGSRkH+urrmkOKex+Uq2xst2fTfh9QXaOi3t3Za2zt7Wjt4QTRMEwTAYIaSQiVMSNRkpurLJ+QqZmO1KRyNomwMAiHsxH7Bov7TrLZqr6s74X4KMxjonvuWzBVnt4/ISw3hOHpfKStNnpem//k89vfb2LsvldtPBE3VWmztE01yKCoZCFIdDEIRepzDoFHqtIkGjUCulbG2b9OIrOyyWvhdffPGDDz7o7Oxs7nSmpqZu2rR1zZo1NTW1L6zNiH5JoRBtsbl6+xxdJmuXydZjttmdnmvfOpphxCK+MUGVmqiZOSk/yaCG6dqYAm1zAABxL9Z/6wi6P3hiPm/HkYu1ZDSmbPimbXenNE0flxyFa/VL0MgTNPIJxTfJKKEQbbL0Bwjr+YttFqvT6b46VtS/PAgjTBKkWilRyMRymUghE8ulov6vZWHdb+n555771rcf83q9Vqu1vLw8LS1NpVJevHjx+PHjYbwKQsgfCNodHpvDY3e6bQ6PzeG22t12h8fluckL16ikOo1cr1VMGZdtTFCNtk07RzpomwMAiG8xHbC4fftnZVl0mpQ+by+SR3xVu6Tng0X5pknF0UtXt0dRHGOC0pigvM0xNM302Vx2p8fmcNsc7m6zzWZ3250eh8uDECIIgktRXp+fS1EcDunzB3hcLkEgfyAolQi5FCURCxBCUrGAojgUhyOVCBBCEpGAe914D0GgDXt+kpGREQwG+Xz+gQMHZsyYgTBGCD311FMrVqyomiS6viSbw40x9gdC/X1gHE4vzTDBYMjl8fl8wRvK4HG5CKFAMMjhkCRB8vlcuVSkkInkUpFCLjYmKBUysVIuFgkhPMWbVYunbdp59PF189guBAAAIiJ2Axbhqi+VHZ0zKftKR6+ZLI7sxXBI2vbndWWCzNQRtsE0h0P2r/oa6hP9gaDHG8AY2xxuhJDXF/D5gwghm8Pt8vgQQnaHh8G4/+Df/vY3DEZcLveZZ54JhUIEQTCYef755xFC+/fv/+j15/oPk4gEXC4HISQWCpRyiiQJuVSEEBIKeAI+j+KQsI85uCYlUXOl3cx2FQAAECmxGrBov9Hx4fJFhQihLQe7Q4ZvRupCmOGaPzXi02sqErWqWF1jHgF8Hrd/7y6VQjLw0ea9HPLqW+Wv7+1+7BvlJEaI7B9TZCorpkauThDHoG0OACCOxVrAYrDXTAQsMvOHs6cKq+vbai5ZO8QrIrGnKPZ2Svp26gU9C6ao05Pzw37+uBJyXvuyq6MFBe0s1gLiBrTNAQDEsdgKWNhvJU5/VyXj0fKS9XWTgpSSFOoJgS68V6H6vlT7juYnMrPvShIJc8N7cgDAIEHbHABAHIutgEXw1Wjah73eblJkRAiF/b5B7O+Td7+1aAK/tJCFnQUAADeAtjkAgHgV8Vvzhowg+9NV2FHWE/meV15YbSwtHM4OogCAsJtfNnb3wWq2qwAAgPCLrRGsSAm5BT2bZ6aZ5k8rYLsUAMBXoG0OACBexW3AwkwA2WslnjNyrj1B6p23IEGrSmO7KADAjaBtDgAgLo3YgOXtVPZ9pBAEMCa9IdLP8BFCFMlQJEORNIVohcg/Nk+ck67j80fR5gsAjDjQNgcAEJdGZsDyW1Js//edNQUcMvbWkAEAhkgpl0DbHABAnBl5AUXQs6XA++rjy3MhXQEQHyorpn604yjbVQAAQDiNsBEsjuXg0vzLk4phX1AA4kdKoqa1A9rmAADiyogaBKL9yaH9k4qT2K4DABBm/W1z2K4CAADChsD/bOgbTXv27Pn5r14Sy7VDehaJaBnXzeGEff9RMARWm1OpgLUyIMxohnE63Qo5vLXCqcdsfeyJ765YsYLtQgAYjdgJWAih+vp6Vq4Lhi0YDHK53EAg0Nvb63K5JBKJ0QhtesGd8vl8AoEA3l0RkpubS8JyVQDYwFrAAiPLG2+80dnZ+fzzz69fv/78+fOVlZUajaawsJDtusDI9tJLL9ntdo/HI5FInnvuuQ0bNpw7d2716tXw7gIAjHTwlw0YFKvVWl5e3tPTs2zZMj6fX1dX53A42C4KjHhr166laZrP55eXl3d2di5btkwoFMK7CwAQByBggUHh8/kHDhwwGAx6vZ4kSZqmzWa47QvcqWeffdZgMAQCgQMHDiQlJcG7CwAQN2CKEAxWKBSiqBG2rwcYKeDdBQCIMxCwAAAAAADCDKYIAQAAAADCDAIWAAAAAECYQcACAAAAAAgzCFgAAAAAAGEGAQsAAAAAIMwgYAEAAAAAhBkELAAAAACAMIOABQAAAAAQZhCwAAAAAADCDAIWAAAAAECYQcACAAAAAAgzCFgAAAAAAGEGAQsAAAAAIMwgYAEAAAAAhBkELAAAAACAMIOABQAAAAAQZhCwAAAAAADCDAIWAAAAAECYQcACAAAAAAgzCFgAAAAAAGEGAQsAAAAAIMwgYAEAAAAAhNn/A4WJY+JQHe9kAAAAAElFTkSuQmCC\n",
 1917        "text/plain": [
 1918         "<IPython.core.display.Image object>"
 ....
 1958      {
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\n",
 1961        "text/plain": [
 1962         "<IPython.core.display.Image object>"
 ....
 2002      {
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\n",
 2005        "text/plain": [
 2006         "<IPython.core.display.Image object>"
 ....
 2046      {
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\n",
 2049        "text/plain": [
 2050         "<IPython.core.display.Image object>"
 ....
 2266      {
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\n",
 2269        "text/plain": [
 2270         "<IPython.core.display.Image object>"
 ....
 2310      {
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 2314         "<IPython.core.display.Image object>"
 ....
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\n",
 2533        "text/plain": [
 2534         "<IPython.core.display.Image object>"
 ....
 2552      {
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\n",
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/Users/sylvie/git/magics/regression/notebooks/test_contours_lines.ipynb:
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\n",
  183        "text/plain": [
  184         "<IPython.core.display.Image object>"

/Users/sylvie/git/magics/regression/notebooks/test_shading.ipynb:
  223      {
  224       "data": {
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\n",
  226        "text/plain": [
  227         "<IPython.core.display.Image object>"
  ...
  266      {
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\n",
  269        "text/plain": [
  270         "<IPython.core.display.Image object>"
  ...
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\n",
  862        "text/plain": [
  863         "<IPython.core.display.Image object>"
  ...
  909      {
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\n",
  912        "text/plain": [
  913         "<IPython.core.display.Image object>"

/Users/sylvie/git/magics/regression/web/cmf_graph.py:
   51  
   52  
   53: netcdf = mnetcdf(netcdf_type = "xypoint",
   54                  netcdf_filename = "cmf.nc",
   55                  netcdf_y_variable = "TP",

/Users/sylvie/git/magics/regression/wind/netcdf_contwind.py:
   21  coastlines = mcoast()
   22  
   23: tempe = mnetcdf(netcdf_filename = "fc_surf.nc",
   24        netcdf_value_variable = "v2t",
   25        netcdf_type = "geomatrix",
   ..
   27      )
   28  contour = mcont()
   29: wind_data = mnetcdf(netcdf_filename = "fc_surf.nc",
   30  		netcdf_type = "geomatrix",
   31  		netcdf_x_component_variable = "v10u",

/Users/sylvie/git/magics/regression/wind/xsect_wind.py:
   55          )
   56  # Definition of the netCDF data and interpretation
   57: data = mnetcdf(netcdf_filename = "xsect_wind.nc",
   58        netcdf_type = "matrix",
   59        netcdf_value_variable = "u",

42 matches across 9 files


Searching 847 files for "projection_coor"

0 matches

Searching 847 files for "coordinates"

/Users/sylvie/git/magics/src/params/ArrowPlotting.xml:
   82    	</parameter>
   83     	<parameter from="string" name="wind_arrow_unit_system" visible="false" default="paper" member="unit_system" to="string" values="paper/user">
   84:         		<documentation>Coordinates sysem used to sacle the arrow : paper --&gt;1cm, user--&gt;1 user unit		</documentation>
   85    	</parameter>
   86  

/Users/sylvie/git/magics/src/params/Axis.xml:
  154    
  155     	<parameter xml="position_list" from="floatarray" name="axis_tick_position_list" default="floatarray()" member="positions" to="floatarray">
  156:          		<documentation> Array specifying the positions of ticks (in user coordinates!)		</documentation>    
  157:          		<migration>Units have changed from 'cm' to user coordinates		</migration>
  158    	</parameter>
  159  

/Users/sylvie/git/magics/src/params/ImportPlot.xml:
   16  	</parameter>
   17  
   18: 	<parameter member="system" to="string" default="user" from="string" name="import_system_coordinates">
   19    		<documentation>Specify the format of the imported file 		</documentation>
   20  	</parameter>

/Users/sylvie/git/magics/src/params/InputMatrixIrregularInterpretor.xml:
   17           		<documentation> longitudes 		</documentation>
   18    	</parameter>
   19:   	<parameter member="y" to="Matrix" default="Matrix()" from="Matrix" name="input_field_y_coordinates">
   20:          		<documentation> y-coordinates of the field 		</documentation>
   21    	</parameter>
   22:   	<parameter member="x" to="Matrix" default="Matrix()" from="Matrix" name="input_field_x_coordinates">
   23:          		<documentation> x-coordinates of the field 		</documentation>
   24    	</parameter>
   25   </class></magics>

/Users/sylvie/git/magics/src/params/InputMatrixRegularInterpretor.xml:
   17  
   18      <parameter member="latitudes" to="floatarray" default="floatarray()" from="floatarray" name="input_latitudes_list">
   19:             <documentation> used in a geographical projection context: vector containing the latitudes-coordinates     </documentation>
   20      </parameter>
   21      <parameter member="longitudes" to="floatarray" default="floatarray()" from="floatarray" name="input_longitudes_list">
   22:             <documentation> used in a geographical projection context: vector containing the y-coordinates     </documentation>
   23      </parameter>
   24  
   ..
   47    	</parameter>
   48    	<parameter member="x_coords" to="floatarray" default="floatarray()" from="floatarray" name="input_field_x_list">
   49:          		<documentation> used in a cartesian projection context: vector containing the x-coordinates 		</documentation>
   50    	</parameter>
   51     	<parameter member="y_coords" to="floatarray" default="floatarray()" from="floatarray" name="input_field_y_list">
   52:          		<documentation> used in a cartesian projection context: vector containing the y-coordinates 		</documentation>
   53    	</parameter>
   54     

/Users/sylvie/git/magics/src/params/OdaGeoDecoder.xml:
   40  	    		<documentation> User defined title for automatic title 		</documentation>
   41      	</parameter>
   42:       	<parameter member="unit" to="string" default="degrees" from="string" name="odb_coordinates_unit">
   43: 	    		<documentation> Coordinates unit used to define the location of the points (degrees/radians) 		</documentation>
   44      	</parameter>
   45      	<parameter member="odb_binning" to="BinningObject" default="off" from="string" name="odb_binning">

/Users/sylvie/git/magics/src/params/OdaXYDecoder.xml:
   19      
   20      	<parameter member="x" to="string" default="lat" from="string" name="odb_x_variable">          
   21:             		<documentation> odb Column name for the x coordinates   		</documentation>
   22      	</parameter>
   23      	<parameter member="y" to="string" default="lon" from="string" name="odb_y_variable">        
   24:             		<documentation> odb Column name for the y coordinates   		</documentation>
   25      	</parameter>
   26      

/Users/sylvie/git/magics/src/params/PolarStereographicProjection.xml:
   18           
   19           
   20:          		<documentation> If set to projection, the coordinates of the bounding box are described in projection coordinates
   21            instead of the more natural lat/lon system  ( this is useful in the WMS context) 		</documentation>
   22    	</parameter>

/Users/sylvie/git/magics/src/params/Proj4Projection.xml:
   77           		<documentation> Proj4 defintion string : to be used very carefully --&gt; possible side effect  		</documentation>
   78    	</parameter>
   79:     <parameter from="string" name="subpage_coordinates_system" visible="no" default="latlon" member="coordinates_system" to="string">
   80              <documentation> Proj4 defintion string : to be used very carefully --&gt; possible side effect      </documentation>
   81      </parameter>

/Users/sylvie/git/magics/src/params/SimplePolylineInput.xml:
   30    	<parameter xml="position_filename" from="string" name="polyline_input_positions_filename" default="" member="position_filename" to="string">
   31           		<release>Magics++2.1		</release>
   32:          		<documentation> Path to a file containing the coordinates for all polylines' points. 		</documentation>
   33    	</parameter>
   34    	<parameter member="values_filename" to="string" default="" from="string" name="polyline_input_values_filename">

/Users/sylvie/git/magics/src/params/Wind.xml:
   24           		<documentation> Method to control the thinning: 
   25           data : wind_thinning_factor will determine the frequency as before 
   26:          user : wind_thining_factor will determine the minimal distance in user coordinates betvween 2 winds. 
   27           the default is "data" for backward compatibility.
   28            		</documentation>

/Users/sylvie/git/magics/src/params/XYList.xml:
   31    	</parameter>
   32    	<parameter member="x_base" to="string" default="" from="string" name="x_base_date">
   33:          		<documentation>Base Date to use when X date coordinates defined as offset  		</documentation>
   34           
   35    	</parameter>
   ..
   39    	</parameter>
   40     	<parameter member="y_base" to="string" default="" from="string" name="y_base_date">
   41:          		<documentation>Base Date to use when Y date coordinates defined as offset  		</documentation>
   42           
   43    	</parameter>
   ..
   69    
   70     	<parameter member="x2_base" to="string" default="" from="string" name="x2_base_date">
   71:          		<documentation>Base Date to use when x2 date coordinates defined as offset  		</documentation>
   72           
   73    	</parameter>
   ..
   81    	</parameter>
   82    	<parameter member="y2_base" to="string" default="" from="string" name="y2_base_date">
   83:          		<documentation>Base Date to use when x2 date coordinates defined as offset  		</documentation>
   84           
   85    	</parameter>

/Users/sylvie/build/magics/src/params/ImportPlotAttributes.cc:
   29  ImportPlotAttributes::ImportPlotAttributes():
   30  	format_(ParameterManager::getString("import_format")),
   31: 	system_(ParameterManager::getString("import_system_coordinates")),
   32  	x_(ParameterManager::getDouble("import_x_position")),
   33  	y_(ParameterManager::getDouble("import_y_position")),
   ..
   58  	
   59  	setAttribute(prefix, "import_format", format_, params);
   60: 	setAttribute(prefix, "import_system_coordinates", system_, params);
   61  	setAttribute(prefix, "import_x_position", x_, params);
   62  	setAttribute(prefix, "import_y_position", y_, params);
   ..
  136  	out << ", \"import_format\":";
  137  	niceprint(out,format_);
  138: 	out << ", \"import_system_coordinates\":";
  139  	niceprint(out,system_);
  140  	out << ", \"import_x_position\":";
  ...
  160  
  161  static MagicsParameter<string> import_format("import_format", "PNG", "");
  162: static MagicsParameter<string> import_system_coordinates("import_system_coordinates", "user", "");
  163  static MagicsParameter<double> import_x_position("import_x_position", 0, "");
  164  static MagicsParameter<double> import_y_position("import_y_position", 0, "");

/Users/sylvie/build/magics/src/params/InputMatrixIrregularInterpretorAttributes.cc:
   31  	latitudes_(MagTranslator<Matrix, Matrix>().magics("input_field_latitudes")),
   32  	longitudes_(MagTranslator<Matrix, Matrix>().magics("input_field_longitudes")),
   33: 	y_(MagTranslator<Matrix, Matrix>().magics("input_field_y_coordinates")),
   34: 	x_(MagTranslator<Matrix, Matrix>().magics("input_field_x_coordinates"))
   35  	 
   36  {
   ..
   53  	setAttribute(prefix, "input_field_latitudes", latitudes_, params);
   54  	setAttribute(prefix, "input_field_longitudes", longitudes_, params);
   55: 	setAttribute(prefix, "input_field_y_coordinates", y_, params);
   56: 	setAttribute(prefix, "input_field_x_coordinates", x_, params);
   57  	
   58  }
   ..
  110  	out << ", \"input_field_longitudes\":";
  111  	niceprint(out, longitudes_);
  112: 	out << ", \"input_field_y_coordinates\":";
  113  	niceprint(out, y_);
  114: 	out << ", \"input_field_x_coordinates\":";
  115  	niceprint(out, x_);
  116  	
  ...
  119  static MagicsParameter<Matrix> input_field_latitudes("input_field_latitudes", Matrix(), ""); 
  120  static MagicsParameter<Matrix> input_field_longitudes("input_field_longitudes", Matrix(), ""); 
  121: static MagicsParameter<Matrix> input_field_y_coordinates("input_field_y_coordinates", Matrix(), ""); 
  122: static MagicsParameter<Matrix> input_field_x_coordinates("input_field_x_coordinates", Matrix(), ""); 
  123  

/Users/sylvie/build/magics/src/params/Proj4ProjectionAttributes.cc:
   43  	sweep_(ParameterManager::getDouble("subpage_map_geos_sweep")),
   44  	proj4_definition_(ParameterManager::getString("subpage_map_proj4_definition")),
   45: 	coordinates_system_(ParameterManager::getString("subpage_coordinates_system"))
   46  	
   47  	 
   ..
   77  	setAttribute(prefix, "subpage_map_geos_sweep", sweep_, params);
   78  	setAttribute(prefix, "subpage_map_proj4_definition", proj4_definition_, params);
   79: 	setAttribute(prefix, "subpage_coordinates_system", coordinates_system_, params);
   80  	
   81  	
   ..
   99  	sweep_ = other.sweep_;
  100  	proj4_definition_ = other.proj4_definition_;
  101: 	coordinates_system_ = other.coordinates_system_;
  102  	
  103  } 
  ...
  146  	out << " sweep = " <<  sweep_;
  147  	out << " proj4_definition = " <<  proj4_definition_;
  148: 	out << " coordinates_system = " <<  coordinates_system_;
  149  	
  150  	out << "]" << "\n";
  ...
  184  	out << ", \"subpage_map_proj4_definition\":";
  185  	niceprint(out,proj4_definition_);
  186: 	out << ", \"subpage_coordinates_system\":";
  187: 	niceprint(out,coordinates_system_);
  188  	
  189  }
  ...
  204  static MagicsParameter<double> subpage_map_geos_sweep("subpage_map_geos_sweep", 0, "");
  205  static MagicsParameter<string> subpage_map_proj4_definition("subpage_map_proj4_definition", "", "");
  206: static MagicsParameter<string> subpage_coordinates_system("subpage_coordinates_system", "latlon", "");
  207  

/Users/sylvie/build/magics/src/params/Proj4ProjectionAttributes.h:
   66  	double sweep_;
   67  	string proj4_definition_;
   68: 	string coordinates_system_;
   69  	 
   70  

54 matches across 16 files


Searching 424 files for "Can not open Shapefile"

0 matches

Searching 424 files for "Can not open"

0 matches

Searching 337 files for "total"

/Users/sylvie/git/magics/apps/metgram/templates/classic_plumes.json:
  178                      "wrepjson_input_filename": "${data=tp.json}", 
  179                      "wrepjson_parameter": "${param=143.128}", 
  180:                     "wrepjson_parameter_title": "Ensemble members of Total Precipitation", 
  181                      "wrepjson_parameter_scaling_factor": "1000" 
  182                  }

/Users/sylvie/git/magics/regression/plumes/monthly_plumes.json:
  197                          "wrepjson_input_filename": "${tp=monthly_tp.json}",
  198                          "wrepjson_parameter": "143.128",                        
  199:                         "wrepjson_parameter_information": "Total Precipitation (mm) - Ensemble distribution",
  200                          "wrepjson_parameter_scaling_factor": "1000"
  201                      }

/Users/sylvie/git/magics/regression/web/10days-special.json:
   54                          "wrepjson_input_filename": "10days-special.data", 
   55                          "wrepjson_parameter": "164.128", 
   56:                         "wrepjson_parameter_information": "Total Cloud Cover (okta) ", 
   57                          "wrepjson_parameter_scaling_factor": "8", 
   58                          "wrepjson_product_information": "Deterministic Forecast and EPS Distribution "
   ..
  134                          "wrepjson_input_filename": "10days-special.data", 
  135                          "wrepjson_parameter": "143.128", 
  136:                         "wrepjson_parameter_information": "Total Precipitation (mm/6h)", 
  137                          "wrepjson_parameter_scaling_factor": "1000", 
  138                          "wrepjson_y_axis_threshold": "3"

/Users/sylvie/git/magics/regression/web/10days-zero.json:
   54                          "wrepjson_input_filename": "10days-zero.data", 
   55                          "wrepjson_parameter": "164.128", 
   56:                         "wrepjson_parameter_information": "Total Cloud Cover (okta) ", 
   57                          "wrepjson_parameter_scaling_factor": "8", 
   58                          "wrepjson_product_information": "Deterministic Forecast and EPS Distribution "
   ..
  134                          "wrepjson_input_filename": "10days-zero.data", 
  135                          "wrepjson_parameter": "143.128", 
  136:                         "wrepjson_parameter_information": "Total Precipitation (mm/6h)", 
  137                          "wrepjson_parameter_scaling_factor": "1000", 
  138                          "wrepjson_y_axis_threshold": "3"

/Users/sylvie/git/magics/regression/web/10days.json:
   54                          "wrepjson_input_filename": "10days.data", 
   55                          "wrepjson_parameter": "164.128", 
   56:                         "wrepjson_parameter_information": "Total Cloud Cover (okta) ", 
   57                          "wrepjson_parameter_scaling_factor": "8", 
   58                          "wrepjson_product_information": "Deterministic Forecast and EPS Distribution "
   ..
  134                          "wrepjson_input_filename": "10days.data", 
  135                          "wrepjson_parameter": "143.128", 
  136:                         "wrepjson_parameter_information": "Total Precipitation (mm/6h)", 
  137                          "wrepjson_parameter_scaling_factor": "1000", 
  138                          "wrepjson_y_axis_threshold": "3"

/Users/sylvie/git/magics/regression/web/15days_clim.json:
   72                              "wrepjson_keyword": "eps", 
   73                              "wrepjson_parameter": "164.128", 
   74:                             "wrepjson_parameter_information": "Daily mean of Total Cloud Cover (okta) ", 
   75                              "wrepjson_parameter_scaling_factor": "8", 
   76                              "wrepjson_product_information": "Extended Range Forecast based on ENS distribution "
   ..
  169                              "wrepjson_keyword": "eps", 
  170                              "wrepjson_parameter": "143.128", 
  171:                             "wrepjson_parameter_information": "Total Precipitation (mm/24h)", 
  172                              "wrepjson_parameter_scaling_factor": "1000"
  173                          }

/Users/sylvie/git/magics/regression/web/classic_10days.json:
  102                       "wrepjson_parameter_scaling_factor": "8", 
  103                       "wrepjson_product_information": "Dterministic Forecast and EPS Distribution " ,
  104:                     "wrepjson_parameter_information": "Total Cloud Cover (okta) " 
  105                  }
  106              }, 
  ...
  155                      "wrepjson_parameter": "143.128", 
  156                      "wrepjson_y_axis_threshold": "3",
  157:                     "wrepjson_parameter_information": "Total Precipitation (mm/6h)", 
  158                      "wrepjson_parameter_scaling_factor": "1000" 
  159                  }

/Users/sylvie/git/magics/share/magics/contour_ids.json:
  138      "Maximum 2 metre temperature DEFAULT": 136,
  139      "Maximum 2 metre temperature probability DEFAULT": 137,
  140:     "Mean period of total swell DEFAULT": 138,
  141      "Mean period of wind waves DEFAULT": 139,
  142      "Mean sea level pressure DEFAULT": 140,
  ...
  152      "Orography shading with 28 levels": 150,
  153      "Orography shading with 28 levels (brown)": 151,
  154:     "Probability of combined events of 2 metre Temperature and total precipitation DEFAULT": 152,
  155:     "Probability of combined events of wind gust and total snowfall DEFAULT": 153,
  156:     "Probability of combined events of wind speed and total precipitation DEFAULT": 154,
  157      "Sea ice cover as fraction of a grid box DEFAULT": 155,
  158      "Shade from 100 to 4500 (orange-blue)": 156,
  159:     "Significant height of total swell DEFAULT": 157,
  160      "Significant height of wind waves DEFAULT": 158,
  161      "Significant wave height DEFAULT": 159,
  ...
  168      "Stratiform precipitation probability DEFAULT": 166,
  169      "Temperature below 0 C": 167,
  170:     "Total precipitation DEFAULT": 168,
  171:     "Total precipitation extreme forecast index DEFAULT": 169,
  172:     "Total precipitation percentile DEFAULT": 170,
  173:     "Total precipitation probability DEFAULT": 171,
  174:     "Total snowfall DEFAULT": 172,
  175:     "Total snowfall probability DEFAULT": 173,
  176      "Transparency grey (RGBA)": 174,
  177      "Transparency grey for sct and bkn (or ovc) clouds": 175,

/Users/sylvie/git/magics/share/magics/layer_ids.json:
   70      "Maximum 2 metre temperature": 68,
   71      "Maximum 2 metre temperature probability": 69,
   72:     "Mean direction and height of total swell": 70,
   73      "Mean direction and height of wind waves": 71,
   74:     "Mean period of total swell": 72,
   75      "Mean period of wind waves": 73,
   76      "Mean sea level pressure": 74,
   ..
   84      "Model orography from deterministic forecast": 82,
   85      "Model orography from ensemble forecast": 83,
   86:     "Probability of combined events of 2 metre Temperature and total precipitation": 84,
   87:     "Probability of combined events of wind gust and total snowfall": 85,
   88:     "Probability of combined events of wind speed and total precipitation": 86,
   89      "Sea ice cover as fraction of a grid box": 87,
   90:     "Significant height of total swell": 88,
   91      "Significant height of wind waves": 89,
   92      "Significant wave height": 90,
   ..
   98      "Stratiform precipitation percentile": 96,
   99      "Stratiform precipitation probability": 97,
  100:     "Total precipitation": 98,
  101:     "Total precipitation extreme forecast index": 99,
  102:     "Total precipitation percentile": 100,
  103:     "Total precipitation probability": 101,
  104:     "Total snowfall": 102,
  105:     "Total snowfall probability": 103,
  106      "Tropical cyclone strike probability": 104,
  107      "Tropical storm strike probability": 105

/Users/sylvie/git/magics/share/magics/styles/palettes.json:
  936              "origin" : "eccharts",
  937              "parameter" : [
  938:                 "24h total snowfall from M-Climate at various percentiles"
  939              ]
  940          }
  ...
  964              "origin" : "eccharts",
  965              "parameter" : [
  966:                 "Total precipitation"
  967              ]
  968          }
  ...
 1226                  "Stratiform precipitation",
 1227                  "Convective precipitation",
 1228:                 "Total precipitation",
 1229:                 "Total snowfall"
 1230              ]
 1231          }
 ....
 1263              "origin" : "eccharts",
 1264              "parameter" : [
 1265:                 "Total column water"
 1266              ]
 1267          }
 ....
 1338              "parameter" : [
 1339                  "Stratiform precipitation",
 1340:                 "Total precipitation percentile",
 1341                  "Convective precipitation",
 1342:                 "Total precipitation",
 1343:                 "Total snowfall",
 1344                  "Convective precipitation percentile",
 1345                  "Stratiform precipitation percentile"
 ....
 1674              "parameter" : [
 1675                  "Stratiform precipitation",
 1676:                 "Total precipitation percentile",
 1677                  "Convective precipitation",
 1678                  "Convective precipitation percentile",
 1679:                 "Total precipitation",
 1680:                 "Total snowfall",
 1681                  "Stratiform precipitation percentile"
 1682              ]
 ....
 1741              "parameter" : [
 1742                  "Stratiform precipitation",
 1743:                 "Total precipitation percentile",
 1744                  "Convective precipitation",
 1745:                 "Total precipitation",
 1746:                 "Total snowfall",
 1747                  "Stratiform precipitation percentile",
 1748                  "Convective precipitation percentile"
 ....
 2047              "origin" : "eccharts",
 2048              "parameter" : [
 2049:                 "Total cloud cover"
 2050              ]
 2051          }
 ....
 2109                  "Significant wave height of all waves with period larger than 10s",
 2110                  "Significant wave height",
 2111:                 "Significant height of total swell"
 2112              ]
 2113          }
 ....
 2172              "parameter" : [
 2173                  "Significant height of wind waves",
 2174:                 "Significant height of total swell",
 2175                  "Significant wave height",
 2176                  "Significant wave height of all waves with period larger than 10s",
 ....
 2313              "origin" : "eccharts",
 2314              "parameter" : [
 2315:                 "Mean period of total swell",
 2316                  "Mean period of wind waves",
 2317                  "Mean wave period",
 ....
 2838                  "Convective precipitation probability",
 2839                  "Convective precipitation rate probability",
 2840:                 "Total precipitation probability",
 2841:                 "Total precipitation rate probability",
 2842:                 "Total precipitation weighted probability",
 2843:                 "Total snowfall probability",
 2844:                 "Total snowfall rate probability",
 2845                  "Visibility probability",
 2846                  "10m wind gusts probability",
 ....
 2852                  "Significant wave height probability",
 2853                  "Probability of combined events of 10 metre wind speed and significant wave height",
 2854:                 "Probability of combined events of wind gust and total snowfall",
 2855:                 "Probability of combined events of wind speed and total precipitation",
 2856:                 "Probability of combined events of 2 metre Temperature and total precipitation",
 2857:                 "Total snowfall probability ",
 2858:                 "Total precipitation probability ",
 2859                  "Convective precipitation probability ",
 2860:                 "Total precipitation rate probability "
 2861              ]
 2862          }
 ....
 2896                  "Convective precipitation probability",
 2897                  "Convective precipitation rate probability",
 2898:                 "Total precipitation probability",
 2899:                 "Total precipitation rate probability",
 2900:                 "Total precipitation weighted probability",
 2901:                 "Total snowfall probability",
 2902:                 "Total snowfall rate probability",
 2903                  "Visibility probability",
 2904                  "Freezing rain probability",
 ....
 2910                  "Significant wave height probability",
 2911                  "Probability of combined events of 10 metre wind speed and significant wave height",
 2912:                 "Probability of combined events of wind gust and total snowfall",
 2913:                 "Probability of combined events of wind speed and total precipitation",
 2914:                 "Probability of combined events of 2 metre Temperature and total precipitation",
 2915:                 "Total snowfall probability ",
 2916:                 "Total precipitation probability ",
 2917                  "Convective precipitation probability ",
 2918:                 "Total precipitation rate probability "
 2919              ]
 2920          }
 ....
 2954                  "Convective precipitation probability",
 2955                  "Convective precipitation rate probability",
 2956:                 "Total precipitation probability",
 2957:                 "Total precipitation rate probability",
 2958:                 "Total precipitation weighted probability",
 2959:                 "Total snowfall probability",
 2960:                 "Total snowfall rate probability",
 2961                  "Visibility probability",
 2962                  "Freezing rain probability",
 ....
 2968                  "Significant wave height probability",
 2969                  "Probability of combined events of 10 metre wind speed and significant wave height",
 2970:                 "Probability of combined events of wind gust and total snowfall",
 2971:                 "Probability of combined events of wind speed and total precipitation",
 2972:                 "Probability of combined events of 2 metre Temperature and total precipitation",
 2973:                 "Total snowfall probability ",
 2974:                 "Total precipitation probability ",
 2975                  "Convective precipitation probability ",
 2976:                 "Total precipitation rate probability "
 2977              ]
 2978          }
 ....
 3039                  "Convective precipitation probability",
 3040                  "Convective precipitation rate probability",
 3041:                 "Total precipitation probability",
 3042:                 "Total precipitation rate probability",
 3043:                 "Total precipitation weighted probability",
 3044:                 "Total snowfall probability",
 3045:                 "Total snowfall rate probability",
 3046                  "Visibility probability",
 3047                  "10m wind gusts probability",
 ....
 3052                  "Significant wave height probability",
 3053                  "Probability of combined events of 10 metre wind speed and significant wave height",
 3054:                 "Probability of combined events of wind gust and total snowfall",
 3055:                 "Probability of combined events of wind speed and total precipitation",
 3056:                 "Probability of combined events of 2 metre Temperature and total precipitation"
 3057              ]
 3058          }
 ....
 3248                  "Stratiform precipitation",
 3249                  "Stratiform precipitation percentile",
 3250:                 "Total precipitation",
 3251:                 "Total precipitation ensemble members from UERRA dataset",
 3252:                 "Total precipitation percentile",
 3253:                 "Total snowfall",
 3254:                 "YOPP project: Total precipitation",
 3255:                 "YOPP project: Total snowfall",
 3256                  "Convective precipitation",
 3257                  "Convective precipitation percentile"
 ....
 3550              ],
 3551              "eccharts_style" : [
 3552:                 "sh_RdGy_r_ch4_totalcolumn"
 3553              ],
 3554              "keywords" : [
 ....
 3560              "origin" : "eccharts",
 3561              "parameter" : [
 3562:                 "Total column of methane",
 3563:                 "Total column of methane [ ppbv ] (provided by CAMS, the Copernicus Atmosphere Monitoring Service)"
 3564              ]
 3565          }
 ....
 3636                  "sh_RdGy_r_ch4_850hpa",
 3637                  "sh_RdGy_r_co2_500hpa",
 3638:                 "sh_RdGy_r_co2_totalcolumn"
 3639              ],
 3640              "keywords" : [
 ....
 3650                  "Methane at 850 hPa",
 3651                  "Carbon dioxide at 500 hPa",
 3652:                 "Total column of carbon dioxide",
 3653:                 "Total column of carbon dioxide [ ppmv ] (provided by CAMS, the Copernicus Atmosphere Monitoring Service)"
 3654              ]
 3655          }
 ....
 4504              ],
 4505              "eccharts_style" : [
 4506:                 "sh_nipy_spectral_ch4_totalcolumn"
 4507              ],
 4508              "keywords" : [
 ....
 4515              "origin" : "eccharts",
 4516              "parameter" : [
 4517:                 "Total column of methane",
 4518:                 "Total column of methane [ ppbv ] (provided by CAMS, the Copernicus Atmosphere Monitoring Service)"
 4519              ]
 4520          }
 ....
 4592                  "sh_nipy_spectral_ch4_850hpa",
 4593                  "sh_nipy_spectral_co2_500hpa",
 4594:                 "sh_nipy_spectral_co2_totalcolumn"
 4595              ],
 4596              "keywords" : [
 ....
 4606              "parameter" : [
 4607                  "Carbon dioxide at 500 hPa",
 4608:                 "Total column of carbon dioxide",
 4609                  "Methane at 850 hPa",
 4610:                 "Total column of carbon dioxide [ ppmv ] (provided by CAMS, the Copernicus Atmosphere Monitoring Service)"
 4611              ]
 4612          }
 ....
 5107              "origin" : "eccharts",
 5108              "parameter" : [
 5109:                 "Total column of ozone",
 5110:                 "Total column of ozone [DU] (provided by CAMS, the Copernicus Atmosphere Monitoring Service)"
 5111              ]
 5112          }
 ....
 5243              "origin" : "eccharts",
 5244              "parameter" : [
 5245:                 "Total column of carbon monoxide",
 5246:                 "Total column of formaldehyde",
 5247:                 "Total column of nitrogen dioxide",
 5248:                 "Total column of sulphur dioxide",
 5249                  "Nitrogen dioxide at surface",
 5250                  "Formaldehyde at surface",
 ....
 5253                  "Nitrogen dioxide at surface [ppbv] (provided by CAMS, the Copernicus Atmosphere Monitoring Service)",
 5254                  "Ozone at surface [ppbv] (provided by CAMS, the Copernicus Atmosphere Monitoring Service)",
 5255:                 "Total column of carbon monoxide [10^18 molecules ",
 5256:                 "Total column of sulphur dioxide [10^15 molecules "
 5257              ]
 5258          }
 ....
 5290              "origin" : "eccharts",
 5291              "parameter" : [
 5292:                 "Significant height of total swell",
 5293:                 "Mean period of total swell",
 5294                  "Significant height of wind waves",
 5295                  "Mean period of wind waves",
 ....
 5329              "origin" : "eccharts",
 5330              "parameter" : [
 5331:                 "Significant height of total swell",
 5332                  "Significant wave height of all waves with period larger than 10s",
 5333                  "Significant height of wind waves",
 ....
 5407              "parameter" : [
 5408                  "Stratiform precipitation rate",
 5409:                 "Total precipitation rate",
 5410:                 "Total snowfall rate",
 5411                  "Convective precipitation rate"
 5412              ]
 ....
 5779              "origin" : "eccharts",
 5780              "parameter" : [
 5781:                 "Total precipitation",
 5782                  "Convective precipitation",
 5783                  "Stratiform precipitation",
 5784:                 "Total snowfall",
 5785:                 "Total column water"
 5786              ]
 5787          }
 ....
 6030              "origin" : "eccharts",
 6031              "parameter" : [
 6032:                 "Total precipitation rate probability",
 6033                  "Stratiform precipitation rate probability",
 6034                  "Convective precipitation rate probability",
 6035:                 "Total snowfall rate probability"
 6036              ]
 6037          }
 ....
 6141              "parameter" : [
 6142                  "Convective precipitation rate",
 6143:                 "Total precipitation rate",
 6144                  "Stratiform precipitation rate",
 6145:                 "Total snowfall rate"
 6146              ]
 6147          }
 ....
 6180              "origin" : "eccharts",
 6181              "parameter" : [
 6182:                 "Total sky UV index forecast",
 6183                  "Clear-sky UV index",
 6184                  "Clear-sky UV index (provided by CAMS)",
 ....
 6454              "parameter" : [
 6455                  "10m wind gusts probability",
 6456:                 "Total precipitation probability",
 6457                  "Freezing rain probability",
 6458                  "Convective precipitation probability",
 6459:                 "Total precipitation weighted probability",
 6460                  "10m wind probability",
 6461                  "Significant wave height probability",
 6462                  "Convective precipitation rate probability",
 6463                  "Minimum 2 metre temperature probability",
 6464:                 "Total snowfall probability ",
 6465                  "Stratiform precipitation probability",
 6466                  "Tropical cyclone strike probability",
 6467                  "2m temperature weighted probability",
 6468                  "Mean wave period probability",
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 6470                  "Hurricane strike probability",
 6471                  "Tropical storm strike probability",
 ....
 6476                  "Maximum 2 metre temperature probability",
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 6478:                 "Total precipitation probability ",
 6479:                 "Total precipitation rate probability "
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 ....
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 6520              ]
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 ....
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 6596:                 "Total snowfall",
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 6598                  "Stratiform precipitation percentile",
 ....
 7353              ],
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 7357              "keywords" : [
 ....
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 7368:                 "Total column of carbon dioxide [ ppmv ] (provided by CAMS, the Copernicus Atmosphere Monitoring Service)"
 7369              ]
 7370          }
 ....
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 7437                  "Freezing rain probability",
 7438:                 "Total precipitation weighted probability",
 7439                  "Convective precipitation probability",
 7440:                 "Total precipitation probability",
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 7442                  "Convective precipitation rate probability",
 7443                  "Minimum 2 metre temperature probability",
 7444                  "Stratiform precipitation probability",
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 7449:                 "Total snowfall rate probability",
 7450                  "Hurricane strike probability",
 7451:                 "Total precipitation probability ",
 7452                  "Significant wave height probability",
 7453                  "Stratiform precipitation rate probability",
 ....
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 7458                  "2 metre dew point temperature probability",
 7459:                 "Total precipitation rate probability "
 7460              ]
 7461          }
 ....
 8205                  "Significant wave height extreme forecast index",
 8206                  "Snowfall extreme forecast index",
 8207:                 "Total precipitation extreme forecast index",
 8208                  "Significant wave height extreme forecast index ",
 8209:                 "Total precipitation extreme forecast index ",
 8210                  "Snowfall extreme forecast index "
 8211              ]
 ....
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 8431              "parameter" : [
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 8433              ]
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 ....
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 8491:                 "Total precipitation extreme forecast index",
 8492                  "10m wind gust extreme forecast index",
 8493                  "10m wind speed extreme forecast index",
 ....
 8495                  "2m minimum temperature extreme forecast index",
 8496                  "2m minimum temperature extreme forecast index ",
 8497:                 "Total precipitation extreme forecast index ",
 8498                  "Snowfall extreme forecast index "
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 ....
 13168              "parameter" : [
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/Users/sylvie/git/magics/share/magics/styles/default/contours.json:
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  633              "Carbon dioxide at 500 hPa",
  634:             "Total column of carbon dioxide",
  635              "ch4",
  636              "methane",
  ...
  704              "16",
  705              "eccharts",
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  709              "methane",
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  991              "eccharts",
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 1424              "blue",
 ....
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 ....
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 2073:             "Total column of formaldehyde",
 2074:             "Total column of nitrogen dioxide",
 2075:             "Total column of sulphur dioxide",
 2076              "Nitrogen dioxide at surface",
 2077              "Formaldehyde at surface",
 ....
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 2114              "sh_all_tco3",
 2115:             "Total column of ozone",
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 2117              "cams"
 ....
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 2154              "UV index",
 ....
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 3129              "Snowfall extreme forecast index",
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 3131              "10m wind gust extreme forecast index",
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 ....
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 3408:             "YOPP project: Total precipitation",
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 ....
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 3991:             "Total column of carbon dioxide",
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 ....
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 4071:             "Total column of methane",
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 4073              "methane",
 ....
 4436              "Significant wave height extreme forecast index",
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 ....
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 4621:             "Total snowfall rate probability",
 4622              "Visibility probability",
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 ....
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 4631:             "Probability of combined events of wind speed and total precipitation",
 4632:             "Probability of combined events of 2 metre Temperature and total precipitation"
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 4634          "values" : [
 ....
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 4663:             "Total precipitation rate probability",
 4664:             "Total precipitation weighted probability",
 4665:             "Total snowfall probability",
 4666:             "Total snowfall rate probability",
 4667              "Visibility probability",
 4668              "10m wind gusts probability",
 ....
 4673              "Significant wave height probability",
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 4676:             "Probability of combined events of wind speed and total precipitation",
 4677:             "Probability of combined events of 2 metre Temperature and total precipitation"            
 4678          ],
 4679          "values" : [
 ....
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 4726              "Convective precipitation rate probability",
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 4728:             "Total precipitation rate probability",
 4729:             "Total precipitation weighted probability",
 4730:             "Total snowfall probability",
 4731:             "Total snowfall rate probability",
 4732              "Visibility probability",
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 ....
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 4741:             "Probability of combined events of wind speed and total precipitation",
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 4743          ],
 4744          "values" : [
 ....
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 ....
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 6051:             "Total snowfall rate probability",
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 ....
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 6061:             "Probability of combined events of wind speed and total precipitation",
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  155      },
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/Users/sylvie/git/magics/share/magics/styles/ecmwf/cds_lmlt.json:
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/Users/sylvie/git/magics/share/magics/styles/ecmwf/composition_aod550.json:
   14        },
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/Users/sylvie/git/magics/share/magics/styles/ecmwf/composition_ch4_totalcolumn.json:
    1  [
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/Users/sylvie/git/magics/share/magics/styles/ecmwf/composition_co2_totalcolumn.json:
    1  [
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    4      "styles": [
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/Users/sylvie/git/magics/share/magics/styles/ecmwf/composition_co_totalcolumn.json:
    1  [
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   11        },
   12        {
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/Users/sylvie/git/magics/share/magics/styles/ecmwf/composition_o3_totalcolumn.json:
    1  [
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    4      "styles": [
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   11        },
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/Users/sylvie/git/magics/share/magics/styles/ecmwf/composition_so2_totalcolumn.json:
    1  [
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/Users/sylvie/git/magics/share/magics/styles/ecmwf/efi_tp_field.json:
   14        },
   15        {
   16:         "long_name": "Total precipitation index"
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   18      ]

/Users/sylvie/git/magics/share/magics/styles/ecmwf/lcc.json:
   16          "long_name": [
   17            "Low cloud cover",
   18:           "Total cloud cover",
   19            "Fraction of cloud cover"
   20          ]
   ..
   22        {
   23          "long_name": [
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/Users/sylvie/git/magics/share/magics/styles/ecmwf/mc_tp.json:
   15        },
   16        {
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/Users/sylvie/git/magics/share/magics/styles/ecmwf/mofc_2t_pdist.json:
   21                        "Mean sea level pressure probability",
   22                        "Soil temperature level 1 probability",
   23:                       "Total precipitation probability"]
   24        }
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/Users/sylvie/git/magics/share/magics/styles/ecmwf/probabilities.json:
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   75                        "2m temperature anomaly of at most -2K",
   76:                       "Total precipitation anomaly of at least 20 mm",
   77:                       "Total precipitation anomaly of at least 10 mm",
   78:                       "Total precipitation anomaly of at least 0 mm",
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   82:                       "Total precipitation of at least 5 mm",
   83:                       "Total precipitation of at least 10 mm",
   84:                       "Total precipitation of at least 20 mm",
   85                        "10 metre Wind gust of at least 10 m/s",
   86                        "10 metre Wind gust of at least 15 m/s",
   87                        "10 metre Wind gust of at least 20 m/s",
   88                        "10 metre Wind gust of at least 25 m/s",
   89:                       "Total precipitation less than 0.1 mm",
   90:                       "Total precipitation rate less than 1 mm/day",
   91:                       "Total precipitation rate of at least 3 mm/day",
   92:                       "Total precipitation rate of at least 5 mm/day",
   93                        "10 metre Wind speed of at least 10 m/s",
   94                        "10 metre Wind speed of at least 15 m/s",

/Users/sylvie/git/magics/share/magics/styles/ecmwf/styles.json:
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  845          "contour_highlight_colour" : "black",
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  863          "contour_highlight_colour" : "blue",
  ...
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  969:         "contour_description" : "Model climate total precipitation contour Range: 0.1 to 1000",
  970          "contour_highlight" : "on",
  971          "contour_highlight_colour" : "blue",
  ...
 2451          "contour_title" : "Contour shade (Range: 0.0 / 2060.0, RdGy_r colours)"
 2452      },
 2453:     "sh_RdGy_r_ch4_totalcolumn" : {
 2454          "contour" : "off",
 2455          "contour_description" : "Method: contour shade Level range : 0.0 to 1920.0 Colour: RdGy_r colours",
 ....
 2565          "contour_title" : "Contour shade (Range: 180.0 / 440.0, RdGy_r colours)"
 2566      },
 2567:     "sh_RdGy_r_co2_totalcolumn" : {
 2568          "contour" : "off",
 2569          "contour_description" : "Method: contour shade Level range : 302.0 to 406.0 Colour: RdGy_r colours",
 ....
 2679          "contour_title" : "Contour shade (Range: 300 / 490, Spectral_r colours)"
 2680      },
 2681:     "sh_Spectral_r_co2_totalcolumn" : {
 2682          "contour" : "off",
 2683          "contour_description" : "Method: contour shade Level range : 300 to 420 Colour: Spectral_r colours",
 ....
 5602      "sh_mc_sf_f01t100" : {
 5603          "contour" : "off",
 5604:         "contour_description" : "Model climate total snowfall shades Range: 0.1 to 100",
 5605          "contour_hilo" : "off",
 5606          "contour_label" : "off",
 ....
 5644      "sh_mc_tp_f01t1000" : {
 5645          "contour" : "off",
 5646:         "contour_description" : "Model climate total precipitation shades Range: 0 to 80",
 5647          "contour_hilo" : "off",
 5648          "contour_label" : "off",
 ....
 5918          "contour_title" : "Contour shade (Range: 0.0 / 2060.0, nipy_spectral colours)"
 5919      },
 5920:     "sh_nipy_spectral_ch4_totalcolumn" : {
 5921          "contour" : "off",
 5922          "contour_description" : "Method: contour shade Level range : 0.0 to 1920.0 Colour: nipy_spectral colours",
 ....
 6032          "contour_title" : "Contour shade (Range: 180.0 / 440.0, nipy_spectral colours)"
 6033      },
 6034:     "sh_nipy_spectral_co2_totalcolumn" : {
 6035          "contour" : "off",
 6036          "contour_description" : "Method: contour shade Level range : 300 to 415 Colour: nipy_spectral colours",

/Users/sylvie/git/magics/share/magics/styles/ecmwf/totalx.json:
    1  [
    2    {
    3:     "eccharts_layer": "totalx",
    4      "styles": [
    5        "sh_red_f44t70",
    .
    9        {
   10          "paramId": "260123",
   11:         "shortName": "totalx"
   12        },
   13        {
   14:         "long_name": "Total totals index"
   15        }
   16      ]

/Users/sylvie/git/magics/share/magics/styles/ecmwf/tp_interval.json:
   19        },
   20        {
   21:         "long_name": ["Total precipitation",
   22                        "Convective precipitation",
   23                        "Large-scale precipitation"]

/Users/sylvie/git/magics/share/magics/styles/ecmwf/tp_rate.json:
   50                        "Snow fall rate water equivalent",
   51                        "Large scale rainfall rate",
   52:                       "Maximum total precipitation rate since previous post-processing",
   53:                       "Minimum total precipitation rate since previous post-processing",
   54:                       "Maximum total precipitation rate in the last 3 hours",
   55:                       "Minimum total precipitation rate in the last 3 hours",
   56:                       "Maximum total precipitation rate in the last 6 hours",
   57:                       "Minimum total precipitation rate in the last 6 hours"]
   58        }
   59      ]

/Users/sylvie/git/magics/share/magics/styles/ecmwf/wave_mpts.json:
   13        },
   14        {
   15:         "long_name": "Mean period of total swell"
   16        }
   17      ]

/Users/sylvie/git/magics/share/magics/styles/ecmwf/wave_shts.json:
   16        },
   17        {
   18:         "long_name": "Significant height of total swell"
   19        }
   20      ]

/Users/sylvie/git/magics/tools/versioncmp/examples/10days_eps/classic_10days.json:
  102                       "wrepjson_parameter_scaling_factor": "8", 
  103                       "wrepjson_product_information": "Dterministic Forecast and EPS Distribution " ,
  104:                     "wrepjson_parameter_information": "Total Cloud Cover (okta) " 
  105                  }
  106              }, 
  ...
  155                      "wrepjson_parameter": "143.128", 
  156                      "wrepjson_y_axis_threshold": "3",
  157:                     "wrepjson_parameter_information": "Total Precipitation (mm/6h)", 
  158                      "wrepjson_parameter_scaling_factor": "1000" 
  159                  }

/Users/sylvie/git/magics/tools/versioncmp/examples/monthly_plumes/monthly_plumes.json:
  197                          "wrepjson_input_filename": "${tp=tp.json}",
  198                          "wrepjson_parameter": "143.128",                        
  199:                         "wrepjson_parameter_information": "Total Precipitation (mm) - Ensemble distribution",
  200                          "wrepjson_parameter_scaling_factor": "1000"
  201                      }

345 matches across 33 files


Searching 2 files for "total"

/Users/sylvie/git/magics/share/magics/styles/eccharts/styles.json:
  155      },
  156      {
  157:         "eccharts_layer" : "totalx",
  158          "match" : {
  159              "set" : [
  160                  {
  161                      "paramId" : "260123",
  162:                     "shortName" : "totalx"
  163                  },
  164                  {
  165:                     "long_name" : "Total totals index"
  166                  }
  167              ],
  ...
  226                  {
  227                      "long_name" : [
  228:                         "Total precipitation index",
  229                          "2 metre temperature index",
  230                          "Minimum temperature at 2 metres index",
  ...
  276                  },
  277                  {
  278:                     "long_name" : "Total precipitation"
  279                  }
  280              ],
  ...
  324                  },
  325                  {
  326:                     "long_name" : "Total precipitation index"
  327                  }
  328              ],
  ...
  366                  },
  367                  {
  368:                     "long_name" : "Total precipitation probability"
  369                  }
  370              ],
  ...
  639                  },
  640                  {
  641:                     "long_name" : "Total Aerosol Optical Depth at 550nm"
  642                  }
  643              ],
  ...
  943      },
  944      {
  945:         "eccharts_layer" : "composition_so2_totalcolumn",
  946          "match" : {
  947              "set" : [
  ...
  951                  },
  952                  {
  953:                     "long_name" : "Total column Sulphur dioxide"
  954                  }
  955              ],
  ...
  961      },
  962      {
  963:         "eccharts_layer" : "composition_co_totalcolumn",
  964          "match" : {
  965              "set" : [
  ...
  969                  },
  970                  {
  971:                     "long_name" : "Total column Carbon monoxide"
  972                  }
  973              ],
  ...
  979      },
  980      {
  981:         "eccharts_layer" : "composition_o3_totalcolumn",
  982          "match" : {
  983              "set" : [
  ...
  987                  },
  988                  {
  989:                     "long_name" : "GEMS Total column ozone"
  990                  }
  991              ],
  ...
 1080      },
 1081      {
 1082:         "eccharts_layer" : "composition_co2_totalcolumn",
 1083          "match" : {
 1084              "set" : [
 ....
 1091                  }
 1092              ],
 1093:             "style" : "sh_Spectral_r_co2_totalcolumn",
 1094              "styles" : [
 1095:                 "sh_nipy_spectral_co2_totalcolumn",
 1096:                 "sh_Spectral_r_co2_totalcolumn",
 1097:                 "sh_RdGy_r_co2_totalcolumn"
 1098              ]
 1099          }
 1100      },
 1101      {
 1102:         "eccharts_layer" : "composition_ch4_totalcolumn",
 1103          "match" : {
 1104              "set" : [
 ....
 1111                  }
 1112              ],
 1113:             "style" : "sh_nipy_spectral_ch4_totalcolumn",
 1114              "styles" : [
 1115:                 "sh_nipy_spectral_ch4_totalcolumn",
 1116:                 "sh_RdGy_r_ch4_totalcolumn"
 1117              ]
 1118          }
 ....
 1336                  },
 1337                  {
 1338:                     "long_name" : "Total precipitation"
 1339                  }
 1340              ],
 ....
 2997                  },
 2998                  {
 2999:                     "long_name" : "Significant height of total swell"
 3000                  }
 3001              ],
 ....
 3060                  },
 3061                  {
 3062:                     "long_name" : "Mean period of total swell"
 3063                  }
 3064              ],

/Users/sylvie/git/magics/share/magics/styles/ecmwf/styles.json:
  841      "ct_mc_sf_f01t100_black" : {
  842          "contour" : "on",
  843:         "contour_description" : "Model climate total snowfall contour Range: 0.1 to 100",
  844          "contour_highlight" : "on",
  845          "contour_highlight_colour" : "black",
  ...
  859      "ct_mc_sf_f01t100_blue" : {
  860          "contour" : "on",
  861:         "contour_description" : "Model climate total snowfall contour Range: 0.1 to 100",
  862          "contour_highlight" : "on",
  863          "contour_highlight_colour" : "blue",
  ...
  949      "ct_mc_tp_f01t1000_black" : {
  950          "contour" : "on",
  951:         "contour_description" : "Model climate total precipitation contour Range: 0.1 to 1000",
  952          "contour_highlight" : "on",
  953          "contour_highlight_colour" : "black",
  ...
  967      "ct_mc_tp_f01t1000_blue" : {
  968          "contour" : "on",
  969:         "contour_description" : "Model climate total precipitation contour Range: 0.1 to 1000",
  970          "contour_highlight" : "on",
  971          "contour_highlight_colour" : "blue",
  ...
 2451          "contour_title" : "Contour shade (Range: 0.0 / 2060.0, RdGy_r colours)"
 2452      },
 2453:     "sh_RdGy_r_ch4_totalcolumn" : {
 2454          "contour" : "off",
 2455          "contour_description" : "Method: contour shade Level range : 0.0 to 1920.0 Colour: RdGy_r colours",
 ....
 2565          "contour_title" : "Contour shade (Range: 180.0 / 440.0, RdGy_r colours)"
 2566      },
 2567:     "sh_RdGy_r_co2_totalcolumn" : {
 2568          "contour" : "off",
 2569          "contour_description" : "Method: contour shade Level range : 302.0 to 406.0 Colour: RdGy_r colours",
 ....
 2679          "contour_title" : "Contour shade (Range: 300 / 490, Spectral_r colours)"
 2680      },
 2681:     "sh_Spectral_r_co2_totalcolumn" : {
 2682          "contour" : "off",
 2683          "contour_description" : "Method: contour shade Level range : 300 to 420 Colour: Spectral_r colours",
 ....
 5602      "sh_mc_sf_f01t100" : {
 5603          "contour" : "off",
 5604:         "contour_description" : "Model climate total snowfall shades Range: 0.1 to 100",
 5605          "contour_hilo" : "off",
 5606          "contour_label" : "off",
 ....
 5644      "sh_mc_tp_f01t1000" : {
 5645          "contour" : "off",
 5646:         "contour_description" : "Model climate total precipitation shades Range: 0 to 80",
 5647          "contour_hilo" : "off",
 5648          "contour_label" : "off",
 ....
 5918          "contour_title" : "Contour shade (Range: 0.0 / 2060.0, nipy_spectral colours)"
 5919      },
 5920:     "sh_nipy_spectral_ch4_totalcolumn" : {
 5921          "contour" : "off",
 5922          "contour_description" : "Method: contour shade Level range : 0.0 to 1920.0 Colour: nipy_spectral colours",
 ....
 6032          "contour_title" : "Contour shade (Range: 180.0 / 440.0, nipy_spectral colours)"
 6033      },
 6034:     "sh_nipy_spectral_co2_totalcolumn" : {
 6035          "contour" : "off",
 6036          "contour_description" : "Method: contour shade Level range : 300 to 415 Colour: nipy_spectral colours",

38 matches across 2 files


Searching 2 files for "lcc"

/Users/sylvie/git/magics/share/magics/styles/eccharts/styles.json:
 1640      },
 1641      {
 1642:         "eccharts_layer" : "lcc",
 1643          "match" : {
 1644              "set" : [
 1645                  {
 1646                      "paramId" : "186",
 1647:                     "shortName" : "lcc"
 1648                  },
 1649                  {

2 matches in 1 file


Searching 2 files for "contour_legend_text"

/Users/sylvie/git/magics/share/magics/styles/ecmwf/styles.json:
    1  {
    2      "default" : {
    3:         "contour_legend_text" : "default contouring"
    4      },
    5      "cape_extra1" : {
    .
    8          "contour_hilo" : "off",
    9          "contour_label" : "off",
   10:         "contour_legend_text" : "Range 50 to 8000",
   11          "contour_level_list" : "50/100/200/400/600/800/1000/1300/1600/2000/2500/3000/3500/4000/8000",
   12          "contour_level_selection_type" : "level_list",
   ..
   38      "coloured_image" : {
   39          "contour_description" : "Coloured lookup table for satellite image",
   40:         "contour_legend_text" : "Coloured lookup table for satellite image",
   41          "contour_title" : "Coloured lookup table for satellite image",
   42          "image_colour_direction" : "anti-clockwise",
   ..
   69          "contour_label_height" : 0.4,
   70          "contour_label_quality" : "high",
   71:         "contour_legend_text" : "Interval 2",
   72          "contour_level_selection_type" : "interval",
   73          "contour_line_colour" : "black",
   ..
   87          "contour_label_height" : 0.4,
   88          "contour_label_quality" : "high",
   89:         "contour_legend_text" : "Interval 4",
   90          "contour_level_selection_type" : "interval",
   91          "contour_line_colour" : "black",
   ..
  112          "contour_highlight" : "off",
  113          "contour_label" : "off",
  114:         "contour_legend_text" : "Contour (Range: 0.05/1000)",
  115          "contour_level_list" : "0.00005/0.0002/0.0005/0.0010/0.002/0.0050/0.01/0.02/0.05/1",
  116          "contour_level_selection_type" : "level_list",
  ...
  124          "contour_highlight" : "off",
  125          "contour_label" : "off",
  126:         "contour_legend_text" : "Contour (Range: -1000 / 10000)",
  127          "contour_level_list" : "-1000/10/100/200/400/700/1000/1500/2000/2500/3000/3500/4000/5000/6000/10000",
  128          "contour_level_selection_type" : "level_list",
  ...
  142          "contour_hilo" : "off",
  143          "contour_label" : "off",
  144:         "contour_legend_text" : "Range 5 - 100%",
  145          "contour_level_list" : "-5/5/35/65/95",
  146          "contour_level_selection_type" : "level_list",
  ...
  162          "contour_label_frequency" : 1,
  163          "contour_label_height" : 0.4,
  164:         "contour_legend_text" : "Interval 200 metres",
  165          "contour_level_selection_type" : "interval",
  166          "contour_line_colour" : "black",
  ...
  177          "contour_interval" : 10,
  178          "contour_label" : "off",
  179:         "contour_legend_text" : "Interval 10, minimum level 10",
  180          "contour_level_selection_type" : "interval",
  181          "contour_line_colour" : "black",
  ...
  194          "contour_label_frequency" : 5,
  195          "contour_label_height" : 0.4,
  196:         "contour_legend_text" : "Interval 1",
  197          "contour_level_selection_type" : "interval",
  198          "contour_line_colour" : "black",
  ...
  212          "contour_label_frequency" : 2,
  213          "contour_label_height" : 0.4,
  214:         "contour_legend_text" : "Interval 1, thickness 2",
  215          "contour_level_selection_type" : "interval",
  216          "contour_line_colour" : "black",
  ...
  228          "contour_label_frequency" : 2,
  229          "contour_label_height" : 0.4,
  230:         "contour_legend_text" : "Interval 2, thickness 2",
  231          "contour_level_selection_type" : "interval",
  232          "contour_line_colour" : "black",
  ...
  245          "contour_label_frequency" : 2,
  246          "contour_label_height" : 0.4,
  247:         "contour_legend_text" : "Interval 2, thickness 2",
  248          "contour_level_selection_type" : "interval",
  249          "contour_line_colour" : "black",
  ...
  261          "contour_label_frequency" : 2,
  262          "contour_label_height" : 0.4,
  263:         "contour_legend_text" : "Interval 2, thickness 2",
  264          "contour_line_colour" : "black",
  265          "contour_line_thickness" : 2,
  ...
  277          "contour_label_frequency" : 2,
  278          "contour_label_height" : 0.4,
  279:         "contour_legend_text" : "Interval 2, thickness 4",
  280          "contour_level_selection_type" : "interval",
  281          "contour_line_colour" : "black",
  ...
  292          "contour_label_frequency" : 2,
  293          "contour_label_height" : 0.4,
  294:         "contour_legend_text" : "Interval 4",
  295          "contour_level_selection_type" : "interval",
  296          "contour_line_colour" : "black",
  ...
  309          "contour_label_height" : 0.4,
  310          "contour_label_quality" : "high",
  311:         "contour_legend_text" : "Contours red:+/blue:- anomaly (Range: -100/100%)",
  312          "contour_level_list" : "-1/-0.5/-0.3/-0.25/-0.2/-0.16/-0.12/-0.08/-0.04/-0.01/0.01/0.04/0.08/0.12/0.16/0.2/0.25/0.3/0.5/1",
  313          "contour_level_selection_type" : "level_list",
  ...
  332          "contour_label_height" : 0.4,
  333          "contour_label_quality" : "high",
  334:         "contour_legend_text" : "Contours red:+/blue:- anomaly (Range: -100/100%)",
  335          "contour_level_list" : "-1/-0.5/-0.3/-0.25/-0.2/-0.16/-0.12/-0.08/-0.04/-0.01/0.01/0.04/0.08/0.12/0.16/0.2/0.25/0.3/0.5/1",
  336          "contour_level_selection_type" : "level_list",
  ...
  351          "contour_interval" : 5,
  352          "contour_label" : "off",
  353:         "contour_legend_text" : "Interval 5, no labels",
  354          "contour_level_selection_type" : "interval",
  355          "contour_line_colour" : "black",
  ...
  366          "contour_interval" : 5,
  367          "contour_label" : "off",
  368:         "contour_legend_text" : "Interval 5, with H/L, no labels",
  369          "contour_level_selection_type" : "interval",
  370          "contour_line_colour" : "black",
  ...
  384          "contour_label_frequency" : 2,
  385          "contour_label_height" : 0.4,
  386:         "contour_legend_text" : "Interval 5, with H/L",
  387          "contour_level_selection_type" : "interval",
  388          "contour_line_colour" : "black",
  ...
  400          "contour_label_frequency" : 2,
  401          "contour_label_height" : 0.4,
  402:         "contour_legend_text" : "Interval 5, thickness 2",
  403          "contour_level_selection_type" : "interval",
  404          "contour_line_colour" : "black",
  ...
  419          "contour_label_frequency" : 2,
  420          "contour_label_height" : 0.4,
  421:         "contour_legend_text" : "Interval 5, thickness 2",
  422          "contour_level_selection_type" : "interval",
  423          "contour_line_colour" : "black",
  ...
  437          "contour_label_frequency" : 2,
  438          "contour_label_height" : 0.4,
  439:         "contour_legend_text" : "Interval 6, thickness 2",
  440          "contour_level_selection_type" : "interval",
  441          "contour_line_colour" : "black",
  ...
  453          "contour_label_frequency" : 2,
  454          "contour_label_height" : 0.4,
  455:         "contour_legend_text" : "Interval 5, thickness 2",
  456          "contour_level_selection_type" : "interval",
  457          "contour_line_colour" : "black",
  ...
  470          "contour_label_frequency" : 2,
  471          "contour_label_height" : 0.4,
  472:         "contour_legend_text" : "Interval 1, thickness 2",
  473          "contour_level_selection_type" : "interval",
  474          "contour_line_colour" : "blue",
  ...
  488          "contour_label_frequency" : 2,
  489          "contour_label_height" : 0.4,
  490:         "contour_legend_text" : "Interval 2, thickness 2",
  491          "contour_level_selection_type" : "interval",
  492          "contour_line_colour" : "blue",
  ...
  504          "contour_label_frequency" : 2,
  505          "contour_label_height" : 0.4,
  506:         "contour_legend_text" : "Interval 5, thickness 2",
  507          "contour_level_selection_type" : "interval",
  508          "contour_line_colour" : "blue",
  ...
  521          "contour_label_frequency" : 2,
  522          "contour_label_height" : 0.4,
  523:         "contour_legend_text" : "Interval 6, thickness 2",
  524          "contour_level_selection_type" : "interval",
  525          "contour_line_colour" : "blue",
  ...
  539          "contour_label_height" : 0.3,
  540          "contour_label_quality" : "high",
  541:         "contour_legend_text" : "Intervals 1/5/15/40/100/250",
  542          "contour_level_list" : "1/5/15/40/100/250",
  543          "contour_level_selection_type" : "level_list",
  ...
  556          "contour_hilo" : "off",
  557          "contour_label" : "off",
  558:         "contour_legend_text" : "Range 0-100%",
  559          "contour_level_list" : "-5/5/35/65/95",
  560          "contour_level_selection_type" : "level_list",
  ...
  573          "contour_label" : "off",
  574          "contour_label_colour" : "black",
  575:         "contour_legend_text" : "Contour (Range: -48 / 56)",
  576          "contour_level_selection_type" : "interval",
  577          "contour_line_plotting" : "split",
  ...
  591          "contour_label_height" : 0.3,
  592          "contour_label_quality" : "high",
  593:         "contour_legend_text" : "Range -5/50, blue:- , red:+",
  594          "contour_level_list" : "-5/5/10/20/50",
  595          "contour_level_selection_type" : "level_list",
  ...
  610          "contour_label_height" : 0.3,
  611          "contour_label_quality" : "high",
  612:         "contour_legend_text" : "Range -10/0.2, blue for negative, red for positive",
  613          "contour_level_list" : "-10/-5/-2/-1/-0.5/-0.2/0.2",
  614          "contour_level_selection_type" : "level_list",
  ...
  627          "contour_label_frequency" : 1,
  628          "contour_label_height" : 0.4,
  629:         "contour_legend_text" : "Interval 4, thickness 2",
  630          "contour_level_selection_type" : "interval",
  631          "contour_line_colour" : "brown",
  ...
  643          "contour_label_colour" : "green",
  644          "contour_label_frequency" : 1,
  645:         "contour_legend_text" : "Green contours for CAPE (thickness 1)",
  646          "contour_level_list" : "10/50/100/200/500/1000/2000/3000/4000/8000",
  647          "contour_level_selection_type" : "level_list",
  ...
  659          "contour_label" : "on",
  660          "contour_label_frequency" : 2,
  661:         "contour_legend_text" : "Interval 2, thickness 4",
  662          "contour_level_selection_type" : "interval",
  663          "contour_line_colour" : "green",
  ...
  674          "contour_label_frequency" : 2,
  675          "contour_label_height" : 0.4,
  676:         "contour_legend_text" : "Interval 5, thickness 2",
  677          "contour_level_selection_type" : "interval",
  678          "contour_line_colour" : "green",
  ...
  691          "contour_label_frequency" : 2,
  692          "contour_label_height" : 0.4,
  693:         "contour_legend_text" : "Interval 6, thickness 2",
  694          "contour_level_selection_type" : "interval",
  695          "contour_line_colour" : "green",
  ...
  705          "contour_hilo" : "off",
  706          "contour_label" : "off",
  707:         "contour_legend_text" : "Normal for SCT, highlight for BKN,OVC",
  708          "contour_level_list" : "-1/0.3125/0.6875",
  709          "contour_level_selection_type" : "level_list",
  ...
  725          "contour_label_frequency" : 1,
  726          "contour_label_height" : 0.4,
  727:         "contour_legend_text" : "Interval 10, minimum 30 (in m/s)",
  728          "contour_level_selection_type" : "interval",
  729          "contour_line_colour" : "yellow_green",
  ...
  742          "contour_label_height" : 0.3,
  743          "contour_label_quality" : "high",
  744:         "contour_legend_text" : "Range 65-100%",
  745          "contour_level_list" : "65/80/95/120",
  746          "contour_level_selection_type" : "level_list",
  ...
  760          "contour_label_frequency" : 1,
  761          "contour_label_height" : 0.4,
  762:         "contour_legend_text" : "Interval 2, thickness 3",
  763          "contour_level_selection_type" : "interval",
  764          "contour_line_colour" : "magenta",
  ...
  777          "contour_label_colour" : "black",
  778          "contour_label_frequency" : 1,
  779:         "contour_legend_text" : "Black contour (Range: 10/13000)",
  780          "contour_level_list" : "10/100/200/400/600/800/1000/1200/1400/1600/1800/2000/2500/3000/3500/4000/5000/8000/13000",
  781          "contour_level_selection_type" : "level_list",
  ...
  795          "contour_label_colour" : "blue",
  796          "contour_label_frequency" : 1,
  797:         "contour_legend_text" : "Black contour (Range: 10/13000)",
  798          "contour_level_list" : "10/100/200/400/600/800/1000/1200/1400/1600/1800/2000/2500/3000/3500/4000/5000/8000/13000",
  799          "contour_level_selection_type" : "level_list",
  ...
  813          "contour_label_colour" : "black",
  814          "contour_label_frequency" : 1,
  815:         "contour_legend_text" : "Black contour (Range: 10/4000)",
  816          "contour_level_list" : "10/50/100/200/300/400/500/600/800/1000/1250/1500/1750/2000/4000",
  817          "contour_level_selection_type" : "level_list",
  ...
  831          "contour_label_colour" : "blue",
  832          "contour_label_frequency" : 1,
  833:         "contour_legend_text" : "Blue contour (Range: 10/4000)",
  834          "contour_level_list" : "10/50/100/200/300/400/500/600/800/1000/1250/1500/1750/2000/4000",
  835          "contour_level_selection_type" : "level_list",
  ...
  849          "contour_label_colour" : "black",
  850          "contour_label_frequency" : 1,
  851:         "contour_legend_text" : "Black contour (Range: 0.1/ 100)",
  852          "contour_level_list" : "0.1/1/5/10/15/20/25/30/40/60/80/100",
  853          "contour_level_selection_type" : "level_list",
  ...
  867          "contour_label_colour" : "blue",
  868          "contour_label_frequency" : 1,
  869:         "contour_legend_text" : "Blue contour (Range: 0.1/ 100)",
  870          "contour_level_list" : "0.1/1/5/10/15/20/25/30/40/60/80/100",
  871          "contour_level_selection_type" : "level_list",
  ...
  885          "contour_label_colour" : "black",
  886          "contour_label_frequency" : 1,
  887:         "contour_legend_text" : "Black contour (Range: 0/20)",
  888          "contour_level_list" : "0/0.5/1/2/3/4/6/8/10/12/14/20",
  889          "contour_level_selection_type" : "level_list",
  ...
  903          "contour_label_colour" : "blue",
  904          "contour_label_frequency" : 1,
  905:         "contour_legend_text" : "Blue contour (Range: 0/20)",
  906          "contour_level_list" : "0/0.5/1/2/3/4/6/8/10/12/14/20",
  907          "contour_level_selection_type" : "level_list",
  ...
  921          "contour_label_colour" : "black",
  922          "contour_label_frequency" : 1,
  923:         "contour_legend_text" : "Black contour (Range: -80 / 60)",
  924          "contour_level_list" : "-80/-50/-40/-35/-30/-25/-20/-15/-10/-5/0/5/10/15/20/25/30/35/40/50/60",
  925          "contour_level_selection_type" : "level_list",
  ...
  939          "contour_label_colour" : "blue",
  940          "contour_label_frequency" : 1,
  941:         "contour_legend_text" : "Blue contour (Range: -80 / 60)",
  942          "contour_level_list" : "-80/-50/-40/-35/-30/-25/-20/-15/-10/-5/0/5/10/15/20/25/30/35/40/50/60",
  943          "contour_level_selection_type" : "level_list",
  ...
  957          "contour_label_colour" : "black",
  958          "contour_label_frequency" : 1,
  959:         "contour_legend_text" : "Black contour (Range: 0.1/ 1000)",
  960          "contour_level_list" : "0.1/1/2/5/10/15/20/30/40/50/60/80/100/150/200/250/300/500/700/1000",
  961          "contour_level_selection_type" : "level_list",
  ...
  975          "contour_label_colour" : "blue",
  976          "contour_label_frequency" : 1,
  977:         "contour_legend_text" : "Blue contour (Range: 0.1/ 1000)",
  978          "contour_level_list" : "0.1/1/2/5/10/15/20/30/40/50/60/80/100/150/200/250/300/500/700/1000",
  979          "contour_level_selection_type" : "level_list",
  ...
  993          "contour_label_colour" : "black",
  994          "contour_label_frequency" : 1,
  995:         "contour_legend_text" : "Black contour (Range: 0/ 80)",
  996          "contour_level_list" : "0/2/4/6/8/10/12/15/18/21/25/30/35/40/45/50/80",
  997          "contour_level_selection_type" : "level_list",
  ...
 1011          "contour_label_colour" : "blue",
 1012          "contour_label_frequency" : 1,
 1013:         "contour_legend_text" : "Blue contour (Range: 0/ 80)",
 1014          "contour_level_list" : "0/2/4/6/8/10/12/15/18/21/25/30/35/40/45/50/80",
 1015          "contour_level_selection_type" : "level_list",
 ....
 1032          "contour_label_height" : 0.6,
 1033          "contour_label_quality" : "high",
 1034:         "contour_legend_text" : "Contours multi-coloured (Range: -20/40)",
 1035          "contour_level_list" : "-20/-18/-16/-14/-12/-10/-8/-6/-4/-2/0/2/4/6/8/10/12/14/16/18/20/22/24/26/28/30/32/34/36/38/40",
 1036          "contour_level_selection_type" : "level_list",
 ....
 1056          "contour_label_height" : 0.3,
 1057          "contour_label_quality" : "high",
 1058:         "contour_legend_text" : "Interval 8 (hm), minimum 1.5",
 1059          "contour_level_selection_type" : "interval",
 1060          "contour_line_colour" : "mustard",
 ....
 1069          "contour_label" : "on",
 1070          "contour_label_quality" : "high",
 1071:         "contour_legend_text" : "Contour (Range: 0/13500)",
 1072          "contour_level_list" : "0/1500/3000/4500/6000/7500/9000/10500/12000/13500",
 1073          "contour_level_selection_type" : "level_list",
 ....
 1083          "contour_interval" : 5,
 1084          "contour_label" : "off",
 1085:         "contour_legend_text" : "Contour (interval 5, black)",
 1086          "contour_level_selection_type" : "interval",
 1087          "contour_line_colour" : "black",
 ....
 1099          "contour_label_colour" : "black",
 1100          "contour_label_frequency" : 1,
 1101:         "contour_legend_text" : "Black contours for probabilities (thickness 2)",
 1102          "contour_level_list" : "10/20/30/40/50/60/70/80/90/105",
 1103          "contour_level_selection_type" : "level_list",
 ....
 1117          "contour_label_colour" : "black",
 1118          "contour_label_frequency" : 1,
 1119:         "contour_legend_text" : "Black contours for probabilities (thickness 1)",
 1120          "contour_level_list" : "5/35/65/95/105",
 1121          "contour_level_selection_type" : "level_list",
 ....
 1135          "contour_label_colour" : "blue",
 1136          "contour_label_frequency" : 1,
 1137:         "contour_legend_text" : "Black contours for probabilities (thickness 2)",
 1138          "contour_level_list" : "10/20/30/40/50/60/70/80/90/105",
 1139          "contour_level_selection_type" : "level_list",
 ....
 1153          "contour_label_colour" : "blue",
 1154          "contour_label_frequency" : 1,
 1155:         "contour_legend_text" : "Blue contours for probabilities (thickness 1)",
 1156          "contour_level_list" : "5/35/65/95/105",
 1157          "contour_level_selection_type" : "level_list",
 ....
 1169          "contour_label_colour" : "navy",
 1170          "contour_label_height" : "0.4",
 1171:         "contour_legend_text" : "Contour coloured lines (Range: 5/70)",
 1172          "contour_level_list" : "5/10/15/20/25/30/35/40/45/50/55/60/65/70",
 1173          "contour_level_selection_type" : "level_list",
 ....
 1185          "contour_highlight" : "off",
 1186          "contour_label" : "off",
 1187:         "contour_legend_text" : "Contour coloured lines (Range: -1000 / 10000)",
 1188          "contour_level_list" : "-1000/10/100/200/400/700/1000/1500/2000/2500/3000/3500/4000/5000/6000/10000",
 1189          "contour_level_selection_type" : "level_list",
 ....
 1204          "contour_label_colour" : "black",
 1205          "contour_label_frequency" : 1,
 1206:         "contour_legend_text" : "Contour coloured lines (Range: 10/4500)",
 1207          "contour_level_list" : "10/100/200/300/400/600/800/1000/1200/1500/2000/3000/4500",
 1208          "contour_level_selection_type" : "level_list",
 ....
 1222          "contour_label_colour" : "RGB(0.5,0.33,0.79)",
 1223          "contour_label_frequency" : 1,
 1224:         "contour_legend_text" : "Contour coloured lines (Range: 10/4500)",
 1225          "contour_level_list" : "10/100/200/300/400/600/800/1000/1200/1500/2000/3000/4500",
 1226          "contour_level_selection_type" : "level_list",
 ....
 1240          "contour_label_colour" : "black",
 1241          "contour_label_frequency" : 1,
 1242:         "contour_legend_text" : "Contour coloured lines (200 and 1000)",
 1243          "contour_level_list" : "200/1000",
 1244          "contour_level_selection_type" : "level_list",
 ....
 1258          "contour_label_colour" : "RGB(0.5,0.33,0.79)",
 1259          "contour_label_frequency" : 1,
 1260:         "contour_legend_text" : "Contour coloured lines (200 and 1000)",
 1261          "contour_level_list" : "200/1000",
 1262          "contour_level_selection_type" : "level_list",
 ....
 1280          "contour_label_colour" : "red",
 1281          "contour_label_frequency" : 1,
 1282:         "contour_legend_text" : "Red contours for CAPE (thickness 1)",
 1283          "contour_level_list" : "50/200/500/1000/2000/3000/4000/8000",
 1284          "contour_level_selection_type" : "level_list",
 ....
 1299          "contour_label_height" : 0.4,
 1300          "contour_label_quality" : "high",
 1301:         "contour_legend_text" : "Interval 2, dash",
 1302          "contour_level_selection_type" : "interval",
 1303          "contour_line_colour" : "red",
 ....
 1315          "contour_label_frequency" : 2,
 1316          "contour_label_height" : "0.5",
 1317:         "contour_legend_text" : "Interval 4, thickness 3",
 1318          "contour_level_selection_type" : "interval",
 1319          "contour_line_colour" : "red",
 ....
 1332          "contour_label_frequency" : 1,
 1333          "contour_label_height" : 0.4,
 1334:         "contour_legend_text" : "Interval 5, minimum 10 (in m/s)",
 1335          "contour_level_selection_type" : "interval",
 1336          "contour_line_colour" : "rgb(1,0.35,0)",
 ....
 1348          "contour_label_frequency" : 2,
 1349          "contour_label_height" : 0.4,
 1350:         "contour_legend_text" : "Interval 5, thickness 2",
 1351          "contour_level_selection_type" : "interval",
 1352          "contour_line_colour" : "red",
 ....
 1364          "contour_label_frequency" : 2,
 1365          "contour_label_height" : 0.4,
 1366:         "contour_legend_text" : "Interval 5, thickness 4",
 1367          "contour_level_selection_type" : "interval",
 1368          "contour_line_colour" : "red",
 ....
 1382          "contour_label_frequency" : 2,
 1383          "contour_label_height" : 0.4,
 1384:         "contour_legend_text" : "Interval 6, thickness 2",
 1385          "contour_level_selection_type" : "interval",
 1386          "contour_line_colour" : "red",
 ....
 1399          "contour_label_colour" : "black",
 1400          "contour_label_frequency" : 1,
 1401:         "contour_legend_text" : "Black contours for SOT (thickness 1)",
 1402          "contour_level_list" : "0/1/2/5/8",
 1403          "contour_level_selection_type" : "level_list",
 ....
 1417          "contour_label_colour" : "blue",
 1418          "contour_label_frequency" : 1,
 1419:         "contour_legend_text" : "Blue contours for SOT (thickness 1)",
 1420          "contour_level_list" : "0/1/2/5/8",
 1421          "contour_level_selection_type" : "level_list",
 ....
 1438          "contour_label_height" : 0.4,
 1439          "contour_label_quality" : "high",
 1440:         "contour_legend_text" : "Contour (Range: -2 / 36)",
 1441          "contour_level_selection_type" : "interval",
 1442          "contour_line_colour" : "black",
 ....
 1459          "contour_label_height" : 0.4,
 1460          "contour_label_quality" : "high",
 1461:         "contour_legend_text" : "Contour (Range: -2 / 36)",
 1462          "contour_level_selection_type" : "interval",
 1463          "contour_line_colour" : "blue",
 ....
 1476          "contour_label_height" : 0.4,
 1477          "contour_label_quality" : "high",
 1478:         "contour_legend_text" : "Contour (Range: -2 / 36)",
 1479          "contour_level_list" : "-2/0/2/4/6/8/10/12/14/16/18/20/22/24/26/28/30/32",
 1480          "contour_level_selection_type" : "level_list",
 ....
 1495          "contour_label_colour" : "black",
 1496          "contour_label_frequency" : 1,
 1497:         "contour_legend_text" : "Black contour (Range: 0.02/1)",
 1498          "contour_level_list" : "0.02/0.04/0.08/0.16/0.3/0.6/1",
 1499          "contour_level_selection_type" : "level_list",
 ....
 1513          "contour_label_colour" : "blue",
 1514          "contour_label_frequency" : 1,
 1515:         "contour_legend_text" : "Blue contour (Range: 0.02/1)",
 1516          "contour_level_list" : "0.02/0.04/0.08/0.16/0.3/0.6/1",
 1517          "contour_level_selection_type" : "level_list",
 ....
 1531          "contour_label_colour" : "black",
 1532          "contour_label_frequency" : 1,
 1533:         "contour_legend_text" : "Black contour (Range: 0.05/5)",
 1534          "contour_level_list" : "0.05/0.1/0.25/0.5/1/2/3/4/5",
 1535          "contour_level_selection_type" : "level_list",
 ....
 1549          "contour_label_colour" : "blue",
 1550          "contour_label_frequency" : 1,
 1551:         "contour_legend_text" : "Blue contour (Range: 0.05/5)",
 1552          "contour_level_list" : "0.05/0.1/0.25/0.5/1/2/3/4/5",
 1553          "contour_level_selection_type" : "level_list",
 ....
 1567          "contour_label_colour" : "black",
 1568          "contour_label_frequency" : 1,
 1569:         "contour_legend_text" : "Black contour (Range: 5/150)",
 1570          "contour_level_list" : "5/10/15/20/25/30/35/40/45/50/55/60/65/70/100/150",
 1571          "contour_level_selection_type" : "level_list",
 ....
 1585          "contour_label_colour" : "blue",
 1586          "contour_label_frequency" : 1,
 1587:         "contour_legend_text" : "Blue contour (Range: 5/150)",
 1588          "contour_level_list" : "5/10/15/20/25/30/35/40/45/50/55/60/65/70/100/150",
 1589          "contour_level_selection_type" : "level_list",
 ....
 1603          "contour_label_colour" : "black",
 1604          "contour_label_frequency" : 1,
 1605:         "contour_legend_text" : "Black contour (Range: 0/1000 KW/m)",
 1606          "contour_level_list" : "0/40/80/120/160/200/240/280/320/360/400/440/480/520/560/600/640/800/1000",
 1607          "contour_level_selection_type" : "level_list",
 ....
 1621          "contour_label_colour" : "blue",
 1622          "contour_label_frequency" : 1,
 1623:         "contour_legend_text" : "Blue contour (Range: 0/1000 KW/m)",
 1624          "contour_level_list" : "0/40/80/120/160/200/240/280/320/360/400/440/480/520/560/600/640/800/1000",
 1625          "contour_level_selection_type" : "level_list",
 ....
 1639          "contour_label_frequency" : 1,
 1640          "contour_label_height" : 0.4,
 1641:         "contour_legend_text" : "Interval 1",
 1642          "contour_level_selection_type" : "interval",
 1643          "contour_line_colour" : "rgb(0.6,0.5,0.8)",
 ....
 1656          "contour_label_height" : 0.4,
 1657          "contour_label_quality" : "high",
 1658:         "contour_legend_text" : "Contour (Range: 0 / 10000)",
 1659          "contour_level_list" : "0/200/500/1000/2000/3000/4000/5000/8000/10000",
 1660          "contour_level_selection_type" : "level_list",
 ....
 1675          "contour_label_frequency" : 1,
 1676          "contour_label_height" : 0.4,
 1677:         "contour_legend_text" : "Interval 10, minimum 30 (in m/s)",
 1678          "contour_level_selection_type" : "interval",
 1679          "contour_line_colour" : "yellow",
 ....
 1736          "contour_hilo" : "off",
 1737          "contour_label" : "off",
 1738:         "contour_legend_text" : "Contour dot shade (0.3125-1, sct & bkn clouds)",
 1739          "contour_level_list" : "0.3125/0.6875/1.0",
 1740          "contour_level_selection_type" : "level_list",
 ....
 1752          "contour_hilo" : "off",
 1753          "contour_label" : "off",
 1754:         "contour_legend_text" : "Contour dot shade (Range: 0.5 / 300, with isolines)",
 1755          "contour_level_list" : "0.5/2/4/10/25/50/100/300",
 1756          "contour_level_selection_type" : "level_list",
 ....
 1771          "contour_label_frequency" : 1,
 1772          "contour_label_quality" : "high",
 1773:         "contour_legend_text" : "Contour dot shade (Range: -1.0 / 1.0)",
 1774          "contour_level_list" : "-1.1/-0.90/-0.80/-0.70/-0.60/-0.5/0.5/0.6/0.7/0.8/0.9/1.1",
 1775          "contour_level_selection_type" : "level_list",
 ....
 1786          "contour_hilo" : "off",
 1787          "contour_label" : "off",
 1788:         "contour_legend_text" : "Contour dot shade (0.3125-1, sct & bkn clouds)",
 1789          "contour_level_list" : "0.3125/0.6875/1.0",
 1790          "contour_level_selection_type" : "level_list",
 ....
 1805          "contour_label_frequency" : 1,
 1806          "contour_label_quality" : "high",
 1807:         "contour_legend_text" : "Contour dot shade (Range: 0.5 / 1.0)",
 1808          "contour_level_list" : "0.5/0.6/0.7/0.8/0.9/1.1",
 1809          "contour_level_selection_type" : "level_list",
 ....
 1824          "contour_hilo" : "off",
 1825          "contour_label" : "off",
 1826:         "contour_legend_text" : "Contour dot shade (Range: 10 / 80, yellow-red)",
 1827          "contour_level_list" : "15/20/25/30/40/50/60/70/80",
 1828          "contour_level_selection_type" : "level_list",
 ....
 1900          "contour_hilo" : "off",
 1901          "contour_label" : "off",
 1902:         "contour_legend_text" : "Contour shade (0-100%, every 10%)",
 1903          "contour_level_list" : "5/10/20/30/40/50/60/70/80/90/110",
 1904          "contour_level_selection_type" : "level_list",
 ....
 1916          "contour_hilo" : "off",
 1917          "contour_label" : "off",
 1918:         "contour_legend_text" : "Contour shade (0-100%, every 10%)",
 1919          "contour_level_list" : "5/10/20/30/40/50/60/70/80/90/110",
 1920          "contour_level_selection_type" : "level_list",
 ....
 1932          "contour_hilo" : "off",
 1933          "contour_label" : "off",
 1934:         "contour_legend_text" : "Contour shade (0-100%, every 10%)",
 1935          "contour_level_list" : "5/10/20/30/40/50/60/70/80/90/110",
 1936          "contour_level_selection_type" : "level_list",
 ....
 1948          "contour_hilo" : "off",
 1949          "contour_label" : "off",
 1950:         "contour_legend_text" : "Contour hatch shade (0-100%, green)",
 1951          "contour_level_list" : "5/35/65/95/125",
 1952          "contour_level_selection_type" : "level_list",
 ....
 1970          "contour_hilo" : "off",
 1971          "contour_label" : "off",
 1972:         "contour_legend_text" : "Contour hatch shade (Range: 10 / 80, orange-red)",
 1973          "contour_level_list" : "15/20/25/30/40/50/60/70/80",
 1974          "contour_level_selection_type" : "level_list",
 ....
 1997          "contour_hilo" : "off",
 1998          "contour_label" : "off",
 1999:         "contour_legend_text" : "All grid points",
 2000          "contour_title" : "All grid points"
 2001      },
 ....
 2010          "contour_hilo" : "off",
 2011          "contour_label" : "off",
 2012:         "contour_legend_text" : "Wave grid points",
 2013          "contour_title" : "Wave grid points",
 2014          "grib_missing_value_indicator" : 9999,
 ....
 2027          "contour_hilo" : "off",
 2028          "contour_label" : "off",
 2029:         "contour_legend_text" : "Land grid points (lsm > 0.5)",
 2030          "contour_title" : "Land grid points (lsm > 0.5)"
 2031      },
 ....
 2036          "contour_hilo" : "off",
 2037          "contour_label" : "off",
 2038:         "contour_legend_text" : "Transparency white",
 2039          "contour_level_list" : "0/0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1.5",
 2040          "contour_level_selection_type" : "level_list",
 ....
 2052          "contour_hilo" : "off",
 2053          "contour_label" : "off",
 2054:         "contour_legend_text" : "Marker in brown (Coarse range: 0.6 / 1.0) used for EFI CAPE",
 2055          "contour_title" : "Marker in brown (Coarse range: 0.6 / 1.0) used for EFI CAPE",
 2056          "level_list" : "0.6/0.8/1.5",
 ....
 2070          "contour_hilo" : "off",
 2071          "contour_label" : "off",
 2072:         "contour_legend_text" : "Marker in kelly_green (Coarse range: 0.6 / 1.0) used for EFI CAPE shear",
 2073          "contour_title" : "Marker in violet (Coarse range: 0.6 / 1.0) used for EFI CAPE shear",
 2074          "level_list" : "0.6/0.8/1.5",
 ....
 2088          "contour_hilo" : "off",
 2089          "contour_label" : "off",
 2090:         "contour_legend_text" : "Marker in cyan (Coarse range: 0.6 / 1.0) used for EFI snowfall",
 2091          "contour_title" : "Marker in cyan (Coarse range: 0.6 / 1.0) used for EFI snowfall",
 2092          "level_list" : "0.6/0.8/1.5",
 ....
 2106          "contour_hilo" : "off",
 2107          "contour_label" : "off",
 2108:         "contour_legend_text" : "Marker in kelly_green (Coarse range: 0.6 / 1.0) used for EFI TP",
 2109          "contour_title" : "Marker in kelly_green (Coarse range: 0.6 / 1.0) used for EFI TP",
 2110          "level_list" : "0.6/0.8/1.5",
 ....
 2127          "contour_hilo" : "off",
 2128          "contour_label" : "off",
 2129:         "contour_legend_text" : "Marker (Coarse range: 0.5 / 1.0) used for EFI WG",
 2130          "contour_title" : "Marker (Coarse range: 0.5 / 1.0) used for EFI WG",
 2131          "level_list" : "0.6/0.8/1.5",
 ....
 2145          "contour_hilo" : "off",
 2146          "contour_label" : "off",
 2147:         "contour_legend_text" : "Markers",
 2148          "contour_method" : "linear",
 2149          "contour_title" : "CONTOUR: Marker for preciptation type (1 to 8)",
 ....
 2161          "contour_hilo" : "off",
 2162          "contour_label" : "off",
 2163:         "contour_legend_text" : "Contour shade (Range: -20 / 20)",
 2164          "contour_level_list" : "-12/-8/-7/-6/-5/-4/-3/-2/-1/1/2/3/4/5/6/7/8/12",
 2165          "contour_level_selection_type" : "level_list",
 ....
 2180          "contour_label_height" : 0.6,
 2181          "contour_label_quality" : "high",
 2182:         "contour_legend_text" : "Orography shading with 28 levels",
 2183          "contour_level_list" : "-4/-0.002/0.01/0.2/0.5/1/1.5/2/2.5/3/4/5/6/7/8/9/10/12.5/15/17.5/20/22.5/25/30/35/40/45/50/80",
 2184          "contour_level_selection_type" : "level_list",
 ....
 2198          "contour_hilo" : "off",
 2199          "contour_label" : "off",
 2200:         "contour_legend_text" : "Contour shade (0-100%, every 10% Blue to yellow)",
 2201          "contour_level_list" : "5/10/20/30/40/50/60/70/80/90/110",
 2202          "contour_level_selection_type" : "level_list",
 ....
 2213          "contour_hilo" : "off",
 2214          "contour_label" : "off",
 2215:         "contour_legend_text" : "Contour shade (0-100%, every 10% Blue to yellow)",
 2216          "contour_level_list" : "5/10/20/30/40/50/60/70/80/90/110",
 2217          "contour_level_selection_type" : "level_list",
 ....
 2228          "contour_hilo" : "off",
 2229          "contour_label" : "off",
 2230:         "contour_legend_text" : "Contour shade (0-100%, every 10%)",
 2231          "contour_level_list" : "5/10/20/30/40/50/60/70/80/90/110",
 2232          "contour_level_selection_type" : "level_list",
 ....
 2291          "contour_hilo" : "off",
 2292          "contour_label" : "off",
 2293:         "contour_legend_text" : "Contour shade (Range: 0 / 300, BrBG)",
 2294          "contour_level_list" : "0.0/5.0/10.0/15.0/20.0/25.0/30.0/35.0/40.0/45.0/50.0/55.0/60.0/65.0/70.0/75.0/80.0/85.0/90.0/95.0/300.0",
 2295          "contour_level_selection_type" : "level_list",
 ....
 2309          "contour_hilo" : "off",
 2310          "contour_label" : "off",
 2311:         "contour_legend_text" : "Contour shade (Range: 0.1 / 10, all colours)",
 2312          "contour_level_list" : "0.10/0.16/0.23/0.29/0.36/0.42/0.49/0.55/0.61/0.68/0.74/0.81/0.87/0.94/10.00",
 2313          "contour_level_selection_type" : "level_list",
 ....
 2327          "contour_hilo" : "off",
 2328          "contour_label" : "off",
 2329:         "contour_legend_text" : "Contour shade (Range: 0.01 / 10, all colours)",
 2330          "contour_level_list" : "0.01/0.04/0.10/0.16/0.23/0.29/0.36/0.42/0.49/0.55/0.61/0.68/0.74/0.81/10.00",
 2331          "contour_level_selection_type" : "level_list",
 ....
 2345          "contour_hilo" : "off",
 2346          "contour_label" : "off",
 2347:         "contour_legend_text" : "Contour shade (Range: 0.1 / 1, orange shades)",
 2348          "contour_level_list" : "0.1/0.145/0.19/0.235/0.28/0.325/0.37/0.415/0.46/0.505/0.55/0.595/0.64/0.685/0.73/0.775/0.82/0.865/0.91/0.955/10.0",
 2349          "contour_level_selection_type" : "level_list",
 ....
 2363          "contour_hilo" : "off",
 2364          "contour_label" : "off",
 2365:         "contour_legend_text" : "Contour shade (Range: 1560.0 / 1940.0, RdGy_r colours)",
 2366          "contour_level_list" : "1560.0/1720.0/1740.0/1760.0/1780.0/1800.0/1820.0/1840.0/1860.0/1880.0/1900.0/1920.0/1940.0/2300.0",
 2367          "contour_level_selection_type" : "level_list",
 ....
 2382          "contour_hilo" : "off",
 2383          "contour_label" : "off",
 2384:         "contour_legend_text" : "Contour shade (Range: 1620.0 / 1950.0, RdGy_r colours)",
 2385          "contour_level_list" : "1620.0/1720.0/1730.0/1740.0/1750.0/1760.0/1770.0/1780.0/1790.0/1800.0/1810.0/1820.0/1830.0/1840.0/1850.0/1860.0/1870.0/1880.0/1890.0/1900.0/1910.0/1920.0/1930.0/1940.0/1950.0/2360.0",
 2386          "contour_level_selection_type" : "level_list",
 ....
 2401          "contour_hilo" : "off",
 2402          "contour_label" : "off",
 2403:         "contour_legend_text" : "Contour shade (Range: 0.0 / 2100.0, RdGy_r colours)",
 2404          "contour_level_list" : "0.0/950.0/1000.0/1050.0/1100.0/1150.0/1200.0/1250.0/1300.0/1350.0/1400.0/1450.0/1500.0/1550.0/1600.0/1650.0/1700.0/1750.0/1800.0/1850.0/1900.0/1950.0/2000.0/2050.0/2100.0/2400.0",
 2405          "contour_level_selection_type" : "level_list",
 ....
 2420          "contour_hilo" : "off",
 2421          "contour_label" : "off",
 2422:         "contour_legend_text" : "Contour shade (Range: 1420.0 / 2020.0, RdGy_r colours)",
 2423          "contour_level_list" : "1420.0/1660.0/1680.0/1700.0/1720.0/1740.0/1760.0/1780.0/1800.0/1820.0/1840.0/1860.0/1880.0/1900.0/1920.0/1940.0/1960.0/1980.0/2000.0/2020.0/24840.0",
 2424          "contour_level_selection_type" : "level_list",
 ....
 2439          "contour_hilo" : "off",
 2440          "contour_label" : "off",
 2441:         "contour_legend_text" : "Contour shade (Range: 0.0 / 2060.0, RdGy_r colours)",
 2442          "contour_level_list" : "0.0/1640.0/1660.0/1680.0/1700.0/1720.0/1740.0/1760.0/1780.0/1800.0/1820.0/1840.0/1860.0/1880.0/1900.0/1920.0/1940.0/1960.0/1980.0/2000.0/2020.0/2040.0/2060.0/75600.0",
 2443          "contour_level_selection_type" : "level_list",
 ....
 2458          "contour_hilo" : "off",
 2459          "contour_label" : "off",
 2460:         "contour_legend_text" : "Contour shade (Range: 0.0 / 1920.0, RdGy_r colours)",
 2461          "contour_level_list" : "0.0/1640.0/1660.0/1680.0/1700.0/1720.0/1740.0/1760.0/1780.0/1800.0/1820.0/1840.0/1860.0/1880.0/1900.0/1920.0/2320.0",
 2462          "contour_level_selection_type" : "level_list",
 ....
 2477          "contour_hilo" : "off",
 2478          "contour_label" : "off",
 2479:         "contour_legend_text" : "Contour shade (Range: 312.0 / 406.0, RdGy_r colours)",
 2480          "contour_level_list" : "312.0/398.5/399.0/399.5/400.0/400.5/401.0/401.5/402.0/402.5/403.0/403.5/404.0/404.5/405.0/405.5/406.0/434.5",
 2481          "contour_level_selection_type" : "level_list",
 ....
 2496          "contour_hilo" : "off",
 2497          "contour_label" : "off",
 2498:         "contour_legend_text" : "Contour shade (Range: 294.5 / 407.5, RdGy_r colours)",
 2499          "contour_level_list" : "294.5/398.5/399.0/399.5/400.0/400.5/401.0/401.5/402.0/402.5/403.0/403.5/404.0/404.5/405.0/405.5/406.0/406.5/407.0/407.5/459.0",
 2500          "contour_level_selection_type" : "level_list",
 ....
 2515          "contour_hilo" : "off",
 2516          "contour_label" : "off",
 2517:         "contour_legend_text" : "Contour shade (Range: 386.5 / 403.0, RdGy_r colours)",
 2518          "contour_level_list" : "386.5/389.0/389.5/390.0/390.5/391.0/391.5/392.0/392.5/393.0/393.5/394.0/394.5/395.0/395.5/396.0/396.5/397.0/397.5/398.0/398.5/399.0/399.5/400.0/400.5/401.0/401.5/402.0/402.5/403.0/403.5",
 2519          "contour_level_selection_type" : "level_list",
 ....
 2534          "contour_hilo" : "off",
 2535          "contour_label" : "off",
 2536:         "contour_legend_text" : "Contour shade (Range: 122.5 / 411.0, RdGy_r colours)",
 2537          "contour_level_list" : "122.5/396.0/396.5/397.0/397.5/398.0/398.5/399.0/399.5/400.0/400.5/401.0/401.5/402.0/402.5/403.0/403.5/404.0/404.5/405.0/405.5/406.0/406.5/407.0/407.5/408.0/408.5/409.0/409.5/410.0/410.5/411.0/1460.5",
 2538          "contour_level_selection_type" : "level_list",
 ....
 2553          "contour_hilo" : "off",
 2554          "contour_label" : "off",
 2555:         "contour_legend_text" : "Contour shade (Range: 180.0 / 440.0, RdGy_r colours)",
 2556          "contour_level_list" : "180.0/369.0/370.0/371.0/372.0/373.0/374.0/375.0/376.0/377.0/378.0/379.0/380.0/381.0/382.0/383.0/384.0/385.0/386.0/387.0/388.0/389.0/390.0/391.0/392.0/393.0/394.0/395.0/396.0/397.0/398.0/399.0/400.0/401.0/402.0/403.0/404.0/405.0/406.0/407.0/408.0/409.0/410.0/411.0/412.0/413.0/414.0/415.0/416.0/417.0/418.0/419.0/420.0/421.0/422.0/423.0/424.0/425.0/426.0/427.0/428.0/429.0/430.0/431.0/432.0/433.0/434.0/435.0/436.0/437.0/438.0/439.0/440.0/2460.0",
 2557          "contour_level_selection_type" : "level_list",
 ....
 2572          "contour_hilo" : "off",
 2573          "contour_label" : "off",
 2574:         "contour_legend_text" : "Contour shade (Range: 302.0 / 406.0, RdGy_r colours)",
 2575          "contour_level_list" : "302.0/397.0/397.5/398.0/398.5/399.0/399.5/400.0/400.5/401.0/401.5/402.0/402.5/403.0/403.5/404.0/404.5/405.0/405.5/406.0/439.0",
 2576          "contour_level_selection_type" : "level_list",
 ....
 2591          "contour_hilo" : "off",
 2592          "contour_label" : "off",
 2593:         "contour_legend_text" : "Contour shade (Range: 300 / 420, Spectral_r colours)",
 2594          "contour_level_list" : "300/400/401/402/403/404/405/406/407/408/409/410/411/412/413/414/415/416/417/418/419/420/600",
 2595          "contour_level_selection_type" : "level_list",
 ....
 2610          "contour_hilo" : "off",
 2611          "contour_label" : "off",
 2612:         "contour_legend_text" : "Contour shade (Range: 300 / 420, Spectral_r colours)",
 2613          "contour_level_list" : "300/400/401/402/403/404/405/406/407/408/409/410/411/412/413/414/415/416/417/418/419/420/600",
 2614          "contour_level_selection_type" : "level_list",
 ....
 2629          "contour_hilo" : "off",
 2630          "contour_label" : "off",
 2631:         "contour_legend_text" : "Contour shade (Range: 300 / 410, Spectral_r colours)",
 2632          "contour_level_list" : "300/390/391/392/393/394/395/396/397/398/399/400/401/402/403/404/405/406/407/408/409/410/600",
 2633          "contour_level_selection_type" : "level_list",
 ....
 2648          "contour_hilo" : "off",
 2649          "contour_label" : "off",
 2650:         "contour_legend_text" : "Contour shade (Range: 300.0 / 445.0, Spectral_r colours)",
 2651          "contour_level_list" : "300.0/395.0/397.5/400.0/402.5/405.0/407.5/410.0/412.5/415.0/417.5/420.0/422.5/425.0/427.5/430.0/432.5/435.0/437.5/440.0/442.5/445.0/600.0",
 2652          "contour_level_selection_type" : "level_list",
 ....
 2667          "contour_hilo" : "off",
 2668          "contour_label" : "off",
 2669:         "contour_legend_text" : "Contour shade (Range: 300 / 490, Spectral_r colours)",
 2670          "contour_level_list" : "300/390/395/400/405/410/415/420/425/430/435/440/445/450/455/460/465/470/475/480/485/490/1000",
 2671          "contour_level_selection_type" : "level_list",
 ....
 2686          "contour_hilo" : "off",
 2687          "contour_label" : "off",
 2688:         "contour_legend_text" : "Contour shade (Range: 300 / 420, Spectral_r colours)",
 2689          "contour_level_list" : "300/395/396/397/398/399/400/401/402/403/404/405/406/407/408/409/410/411/412/413/414/415/416/417/418/419/420/1000",
 2690          "contour_level_selection_type" : "level_list",
 ....
 2705          "contour_hilo" : "off",
 2706          "contour_label" : "off",
 2707:         "contour_legend_text" : "Contour shade (Range: 0 / 10000, all colours)",
 2708          "contour_level_list" : "60.00/77.14/94.29/111.43/128.57/145.71/162.86/180.00/197.14/214.29/231.43/248.57/265.71/282.86/1000.00",
 2709          "contour_level_selection_type" : "level_list",
 ....
 2723          "contour_hilo" : "off",
 2724          "contour_label" : "off",
 2725:         "contour_legend_text" : "Contour shade (Range: 0 / 1000, YlGnBu)",
 2726          "contour_level_list" : "0/10/20/30/40/50/60/70/80/90/100/120/150/999",
 2727          "contour_level_selection_type" : "level_list",
 ....
 2756          "contour_hilo" : "off",
 2757          "contour_label" : "off",
 2758:         "contour_legend_text" : "Contour shade (Range: 0.1 / 10, all colours)",
 2759          "contour_level_list" : "0.1/0.15/0.2/0.25/0.3/0.35/0.4/0.5/0.8/1/10",
 2760          "contour_level_selection_type" : "level_list",
 ....
 2774          "contour_hilo" : "off",
 2775          "contour_label" : "off",
 2776:         "contour_legend_text" : "Contour shade (Range: 1560.0 / 1940.0, all colours)",
 2777          "contour_level_list" : "1560.0/1720.0/1740.0/1760.0/1780.0/1800.0/1820.0/1840.0/1860.0/1880.0/1900.0/1920.0/1940.0/2300.0",
 2778          "contour_level_selection_type" : "level_list",
 ....
 2792          "contour_hilo" : "off",
 2793          "contour_label" : "off",
 2794:         "contour_legend_text" : "Contour shade (Range: 1620.0 / 1900.0, all colours)",
 2795          "contour_level_list" : "1620.0/1770.0/1780.0/1790.0/1800.0/1810.0/1820.0/1830.0/1840.0/1850.0/1860.0/1870.0/1880.0/1890.0/1900.0/2360.0",
 2796          "contour_level_selection_type" : "level_list",
 ....
 2810          "contour_hilo" : "off",
 2811          "contour_label" : "off",
 2812:         "contour_legend_text" : "Contour shade (Range: 0.0 / 2100.0, all colours)",
 2813          "contour_level_list" : "0.0/950.0/1000.0/1050.0/1100.0/1150.0/1200.0/1250.0/1300.0/1350.0/1400.0/1450.0/1500.0/1550.0/1600.0/1650.0/1700.0/1750.0/1800.0/1850.0/1900.0/1950.0/2000.0/2050.0/2100.0/2400.0",
 2814          "contour_level_selection_type" : "level_list",
 ....
 2828          "contour_hilo" : "off",
 2829          "contour_label" : "off",
 2830:         "contour_legend_text" : "Contour shade (Range: 1420.0 / 1940.0, all colours)",
 2831          "contour_level_list" : "1420.0/1740.0/1760.0/1780.0/1800.0/1820.0/1840.0/1860.0/1880.0/1900.0/1920.0/1940.0/24840.0",
 2832          "contour_level_selection_type" : "level_list",
 ....
 2846          "contour_hilo" : "off",
 2847          "contour_label" : "off",
 2848:         "contour_legend_text" : "Contour shade (Range: 312.0 / 414.0, all colours)",
 2849          "contour_level_list" : "312.0/390.0/392.0/394.0/396.0/398.0/400.0/402.0/404.0/406.0/408.0/410.0/412.0/414.0/436.0",
 2850          "contour_level_selection_type" : "level_list",
 ....
 2864          "contour_hilo" : "off",
 2865          "contour_label" : "off",
 2866:         "contour_legend_text" : "Contour shade (Range: 294.0 / 416.0, all colours)",
 2867          "contour_level_list" : "294.0/390.0/392.0/394.0/396.0/398.0/400.0/402.0/404.0/406.0/408.0/410.0/412.0/414.0/416.0/460.0",
 2868          "contour_level_selection_type" : "level_list",
 ....
 2882          "contour_hilo" : "off",
 2883          "contour_label" : "off",
 2884:         "contour_legend_text" : "Contour shade (Range: 386.0 / 401.0, all colours)",
 2885          "contour_level_list" : "386.0/391.0/392.0/393.0/394.0/395.0/396.0/397.0/398.0/399.0/400.0/401.0/404.0",
 2886          "contour_level_selection_type" : "level_list",
 ....
 2900          "contour_hilo" : "off",
 2901          "contour_label" : "off",
 2902:         "contour_legend_text" : "Contour shade (Range: 120.0 / 430.0, all colours)",
 2903          "contour_level_list" : "120.0/380.0/385.0/390.0/395.0/400.0/405.0/410.0/415.0/420.0/425.0/430.0/1465.0",
 2904          "contour_level_selection_type" : "level_list",
 ....
 2918          "contour_hilo" : "off",
 2919          "contour_label" : "off",
 2920:         "contour_legend_text" : "Contour shade (Range: 80 / 500, all colours)",
 2921          "contour_level_list" : "80/100/120/140/160/180/200/220/250/300/400/500/9999",
 2922          "contour_level_selection_type" : "level_list",
 ....
 2936          "contour_hilo" : "off",
 2937          "contour_label" : "off",
 2938:         "contour_legend_text" : "Contour shade (Range: 80 / 500, all colours)",
 2939          "contour_level_list" : "80/100/120/140/160/180/200/220/250/300/400/500/9999",
 2940          "contour_level_selection_type" : "level_list",
 ....
 2954          "contour_hilo" : "off",
 2955          "contour_label" : "off",
 2956:         "contour_legend_text" : "Contour shade (Range: 10 / 100, all colours)",
 2957          "contour_level_list" : "10/15/20/25/30/35/40/45/50/60/80/100/999",
 2958          "contour_level_selection_type" : "level_list",
 ....
 2972          "contour_hilo" : "off",
 2973          "contour_label" : "off",
 2974:         "contour_legend_text" : "Contour shade (Range: 80 / 500, all colours)",
 2975          "contour_level_list" : "80/100/120/140/160/180/200/220/250/300/400/500/9999",
 2976          "contour_level_selection_type" : "level_list",
 ....
 2990          "contour_hilo" : "off",
 2991          "contour_label" : "off",
 2992:         "contour_legend_text" : "Contour shade (Range: 0 / 10000, all colours)",
 2993          "contour_level_list" : "0/40/60/80/100/120/140/160/180/200/500/1000/2000/3000/99999",
 2994          "contour_level_selection_type" : "level_list",
 ....
 3007          "contour_hilo" : "off",
 3008          "contour_label" : "off",
 3009:         "contour_legend_text" : "Contour shade (Range: 0.3 / 50, Beaufort wind scale)",
 3010          "contour_level_list" : "0.3/1.6/3.4/5.5/8.0/10.8/13.9/17.2/20.8/24.5/28.5/32.7/50.",
 3011          "contour_level_selection_type" : "level_list",
 ....
 3023          "contour_hilo" : "off",
 3024          "contour_label" : "off",
 3025:         "contour_legend_text" : "Contour shade (Range: 0.05 / 1000)",
 3026          "contour_level_list" : "0.00005/0.0002/0.0005/0.0010/0.002/0.0050/0.01/0.02/0.05/1",
 3027          "contour_level_selection_type" : "level_list",
 ....
 3038          "contour_hilo" : "off",
 3039          "contour_label" : "off",
 3040:         "contour_legend_text" : "Contour shade (Range: 0.5 / 300, no isolines)",
 3041          "contour_level_list" : "0.5/1/2/3/4/5/6/8/10/15/20/25/30/40/50/75/100/200/300",
 3042          "contour_level_selection_type" : "level_list",
 ....
 3056          "contour_label_format" : "(F4.1)",
 3057          "contour_label_quality" : "high",
 3058:         "contour_legend_text" : "Contour shade (Range: 0.0 / 18.5)",
 3059          "contour_level_list" : "0.0/3.5/5.0/6.5/8.0/9.5/11.0/12.5/14.0/15.5/17.0/18.5",
 3060          "contour_level_selection_type" : "level_list",
 ....
 3077          "contour_label_format" : "(F4.1)",
 3078          "contour_label_quality" : "high",
 3079:         "contour_legend_text" : "Contour shade (Range: 0.0 / 20.0)",
 3080          "contour_level_list" : "0/0.5/1/2/3/4/6/8/10/12/14/20",
 3081          "contour_level_selection_type" : "level_list",
 ....
 3097          "contour_label_format" : "(I3)",
 3098          "contour_label_quality" : "high",
 3099:         "contour_legend_text" : "Contour shade (Range: 0.0 / 1000)",
 3100          "contour_level_list" : "0/40/80/120/160/200/240/280/320/360/400/440/480/520/560/600/640/800/1000",
 3101          "contour_level_selection_type" : "level_list",
 ....
 3111          "contour_description" : "Method : contour shade Level list : (-200/-100/-75/-50/-30/-20/-15/-13/-11/-9/-7/-5/-3/-1/1/3/5/7/9/11/13/15/20/30/50/75/100/200) Colour : Two ranges: blue & yellow-red Used for vorticity, divergence",
 3112          "contour_interval" : 3,
 3113:         "contour_legend_text" : "Contour shade (WEB) Range: -200 / 200",
 3114          "contour_level_selection_type" : "interval",
 3115          "contour_max_level" : 48,
 ....
 3133          "contour_interval" : 2,
 3134          "contour_label" : "off",
 3135:         "contour_legend_text" : "Contour shade (Range: -32 / 42, interval 2)",
 3136          "contour_level_selection_type" : "interval",
 3137          "contour_shade" : "on",
 ....
 3150          "contour_hilo" : "off",
 3151          "contour_label" : "off",
 3152:         "contour_legend_text" : "Contour shade (Range: 30 / 100, all colours)",
 3153          "contour_level_list" : "30/40/50/60/70/80/90/100",
 3154          "contour_level_selection_type" : "level_list",
 ....
 3166          "contour_hilo" : "off",
 3167          "contour_label" : "off",
 3168:         "contour_legend_text" : "Contour shade (Range: 5 / 70, all colours)",
 3169          "contour_level_list" : "5/10/15/20/25/30/40/50/60/70",
 3170          "contour_level_selection_type" : "level_list",
 ....
 3187          "contour_interval" : 4,
 3188          "contour_label" : "off",
 3189:         "contour_legend_text" : "Contour shade (Range: -24 / 44)",
 3190          "contour_level_selection_type" : "interval",
 3191          "contour_line_contour" : "dot",
 ....
 3209          "contour_label" : "off",
 3210          "contour_label_quality" : "high",
 3211:         "contour_legend_text" : "Contour shade (Range: -32 / 42, interval 2)",
 3212          "contour_level_selection_type" : "interval",
 3213          "contour_line_contour" : "dot",
 ....
 3231          "contour_label" : "off",
 3232          "contour_label_quality" : "high",
 3233:         "contour_legend_text" : "Contour shade (Range: -48 / 48)",
 3234          "contour_level_selection_type" : "interval",
 3235          "contour_line_contour" : "dot",
 ....
 3249          "contour_interval" : "4",
 3250          "contour_label" : "off",
 3251:         "contour_legend_text" : "Contour shade (Range: -48 / 56)",
 3252          "contour_level_selection_type" : "interval",
 3253          "contour_line_contour" : "dot",
 ....
 3271          "contour_interval" : 2,
 3272          "contour_label" : "off",
 3273:         "contour_legend_text" : "Contour and shade (Range: -48 / 56, interval 2)",
 3274          "contour_level_selection_type" : "interval",
 3275          "contour_line_colour" : "grey",
 ....
 3292          "contour_label_frequency" : 2,
 3293          "contour_label_quality" : "high",
 3294:         "contour_legend_text" : "Additional 2 (Range: -80/56 by 2)",
 3295          "contour_level_list" : "-50/-48/-46/-44/-42/-40/-38/-36/-34/-32/-30/-28/-26/-24/-22/-20/-18/-16/-14/-12/-10/-8/-6/-4/-2/0/2/4/6/8/10/12/14/16/18/20/22/24/26/28/30/32/34/36/38/40/42/44/46/48/50/52/54/56/58",
 3296          "contour_level_selection_type" : "level_list",
 ....
 3311          "contour_label" : "off",
 3312          "contour_label_quality" : "high",
 3313:         "contour_legend_text" : "Contour shade (Range: -52 / 48)",
 3314          "contour_level_selection_type" : "interval",
 3315          "contour_line_contour" : "dot",
 ....
 3333          "contour_label" : "off",
 3334          "contour_label_quality" : "high",
 3335:         "contour_legend_text" : "Contour shade (Range: -52 / 48)",
 3336          "contour_level_selection_type" : "interval",
 3337          "contour_line_contour" : "dot",
 ....
 3355          "contour_label" : "off",
 3356          "contour_label_quality" : "high",
 3357:         "contour_legend_text" : "Contour shade (Range: -64 / 36)",
 3358          "contour_level_selection_type" : "interval",
 3359          "contour_line_contour" : "dot",
 ....
 3373          "contour_interval" : 4,
 3374          "contour_label" : "off",
 3375:         "contour_legend_text" : "Contour shade (Range: -64 / 52)",
 3376          "contour_level_selection_type" : "interval",
 3377          "contour_line_thickness" : 3,
 ....
 3394          "contour_label" : "off",
 3395          "contour_label_quality" : "high",
 3396:         "contour_legend_text" : "Contour shade (Range: -80 / 20)",
 3397          "contour_level_selection_type" : "interval",
 3398          "contour_line_contour" : "dot",
 ....
 3413          "contour_label_frequency" : 1,
 3414          "contour_label_quality" : "high",
 3415:         "contour_legend_text" : "Contour shade (Range: -80 / 56)",
 3416          "contour_level_list" : "-80/-70/-60/-52/-48/-44/-40/-36/-32/-28/-24/-20/-16/-12/-8/-4/0/4/8/12/16/20/24/28/32/36/40/44/48/52/56",
 3417          "contour_level_selection_type" : "level_list",
 ....
 3429          "contour_label_frequency" : 2,
 3430          "contour_label_quality" : "high",
 3431:         "contour_legend_text" : "Additional 1 (Range: -80 / 56)",
 3432          "contour_level_list" : "-80/-76/-72/-68/-64/-60/-56/-52/-48/-44/-40/-36/-32/-28/-24/-20/-16/-12/-8/-4/0/4/8/12/16/20/24/28/32/36/40/44/48/52/56",
 3433          "contour_level_selection_type" : "level_list",
 ....
 3443          "contour_hilo" : "off",
 3444          "contour_label" : "off",
 3445:         "contour_legend_text" : "Range -95 to 13 C",
 3446          "contour_level_list" : "-95/-93/-91/-89/-87/-85/-83/-81/-79/-77/-75/-73/-71/-69/-67/-65/-63/-61/-59/-57/-55/-53/-51/-49/-47/-45/-43/-41/-39/-37/-35/-33/-31/-29/-27/-25/-23/-21/-19/-17/-15/-13/-11/-9/-7/-5/-3/-1/1/3/5/7/9/11",
 3447          "contour_level_selection_type" : "level_list",
 ....
 3460          "contour_hilo" : "off",
 3461          "contour_label" : "off",
 3462:         "contour_legend_text" : "Contour shade (Range: 1e-4 / 20, Orange colours)",
 3463          "contour_level_list" : "1e-4/2e-4/5e-4/1e-3/2e-3/5e-3/1e-2/2e-2/5e-2/1e-1/2e-1/5e-1/1e0/2e+0/5e+0/1e+1/2e+1",
 3464          "contour_level_selection_type" : "level_list",
 ....
 3479          "contour_hilo" : "off",
 3480          "contour_label" : "off",
 3481:         "contour_legend_text" : "Contour shade (Range: 50 / 1000, all colours)",
 3482          "contour_level_list" : "50/75/100/150/200/250/300/350/400/450/500/1000/9999",
 3483          "contour_level_selection_type" : "level_list",
 ....
 3497          "contour_hilo" : "off",
 3498          "contour_label" : "off",
 3499:         "contour_legend_text" : "Contour shade (Range: 50 / 200, all colours)",
 3500          "contour_level_list" : "50/60/70/80/90/100/110/120/130/140/150/200/999",
 3501          "contour_level_selection_type" : "level_list",
 ....
 3515          "contour_hilo" : "off",
 3516          "contour_label" : "off",
 3517:         "contour_legend_text" : "Contour shade (Range: 1000 / 8000, all colours)",
 3518          "contour_level_list" : "1000/1500/2000/2500/3000/3500/4000/4500/5000/6000/7000/8000/9999",
 3519          "contour_level_selection_type" : "level_list",
 ....
 3533          "contour_hilo" : "off",
 3534          "contour_label" : "off",
 3535:         "contour_legend_text" : "Contour shade (Range: 30 / 200, all colours)",
 3536          "contour_level_list" : "30/40/50/60/70/80/90/100/110/120/150/200/999",
 3537          "contour_level_selection_type" : "level_list",
 ....
 3551          "contour_hilo" : "off",
 3552          "contour_label" : "off",
 3553:         "contour_legend_text" : "Contour shade (Range: 0.1 / 50, all colours)",
 3554          "contour_level_list" : "0.1/0.2/0.3/0.5/1/2/3/5/10/20/30/50/999",
 3555          "contour_level_selection_type" : "level_list",
 ....
 3569          "contour_hilo" : "off",
 3570          "contour_label" : "off",
 3571:         "contour_legend_text" : "Contour shade (Range: 0.1 / 50, all colours)",
 3572          "contour_level_list" : "0.1/0.2/0.3/0.5/1/2/3/5/10/20/30/50/999",
 3573          "contour_level_selection_type" : "level_list",
 ....
 3587          "contour_hilo" : "off",
 3588          "contour_label" : "off",
 3589:         "contour_legend_text" : "Contour shade (Range: 0.001 / 10, all colours)",
 3590          "contour_level_list" : "0.001/0.002/0.005/0.01/0.05/0.1/0.2/0.5/1/2/5/10/99",
 3591          "contour_level_selection_type" : "level_list",
 ....
 3605          "contour_hilo" : "off",
 3606          "contour_label" : "off",
 3607:         "contour_legend_text" : "Contour shade (Range: 0.1 / 50, all colours)",
 3608          "contour_level_list" : "0.1/0.2/0.3/0.5/1/2/3/5/10/20/30/50/999",
 3609          "contour_level_selection_type" : "level_list",
 ....
 3623          "contour_hilo" : "off",
 3624          "contour_label" : "off",
 3625:         "contour_legend_text" : "Contour shade (Range: 0.01 / 500, all colours)",
 3626          "contour_level_list" : "0.01/0.05/0.1/0.5/1/2/5/10/20/50/100/200/500/999",
 3627          "contour_level_selection_type" : "level_list",
 ....
 3638          "contour_description" : "Lightning density - Default view",
 3639          "contour_label" : "off",
 3640:         "contour_legend_text" : "Contour shade (Range: 0.1 / 500)",
 3641          "contour_level_list" : "0.1/0.5/1/2/5/10/20/50/100/500",
 3642          "contour_level_selection_type" : "level_list",
 ....
 3651          "contour_description" : "Lightning density - Different colour scheme",
 3652          "contour_label" : "off",
 3653:         "contour_legend_text" : "Contour shade (Range: 0.1 / 500)",
 3654          "contour_level_list" : "0.1/0.5/1/2/5/10/20/50/100/500",
 3655          "contour_level_selection_type" : "level_list",
 ....
 3664          "contour_description" : "Lightning density - Default view",
 3665          "contour_label" : "off",
 3666:         "contour_legend_text" : "Contour shade (Range: 0.1 / 500)",
 3667          "contour_level_list" : "2/5/10/20/50/100/500",
 3668          "contour_level_selection_type" : "level_list",
 ....
 3680          "contour_hilo" : "off",
 3681          "contour_label" : "off",
 3682:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, all colours)",
 3683          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 3684          "contour_level_selection_type" : "level_list",
 ....
 3698          "contour_hilo" : "off",
 3699          "contour_label" : "off",
 3700:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, all colours)",
 3701          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 3702          "contour_level_selection_type" : "level_list",
 ....
 3716          "contour_hilo" : "off",
 3717          "contour_label" : "off",
 3718:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, all colours)",
 3719          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 3720          "contour_level_selection_type" : "level_list",
 ....
 3734          "contour_hilo" : "off",
 3735          "contour_label" : "off",
 3736:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, all colours)",
 3737          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 3738          "contour_level_selection_type" : "level_list",
 ....
 3752          "contour_hilo" : "off",
 3753          "contour_label" : "off",
 3754:         "contour_legend_text" : "Contour shade (Range: 0.01 / 300, all colours)",
 3755          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/15/20/50/100/300",
 3756          "contour_level_selection_type" : "level_list",
 ....
 3770          "contour_hilo" : "off",
 3771          "contour_label" : "off",
 3772:         "contour_legend_text" : "Contour shade (Range: 50 / 1000, all colours)",
 3773          "contour_level_list" : "50/75/100/150/200/250/300/350/400/450/500/1000/9999",
 3774          "contour_level_selection_type" : "level_list",
 ....
 3788          "contour_hilo" : "off",
 3789          "contour_label" : "off",
 3790:         "contour_legend_text" : "Contour shade (Range: 50 / 200, all colours)",
 3791          "contour_level_list" : "50/60/70/80/90/100/110/120/130/140/150/200/999",
 3792          "contour_level_selection_type" : "level_list",
 ....
 3806          "contour_hilo" : "off",
 3807          "contour_label" : "off",
 3808:         "contour_legend_text" : "Contour shade (Range: 1000 / 8000, all colours)",
 3809          "contour_level_list" : "1000/1500/2000/2500/3000/3500/4000/4500/5000/6000/7000/8000/9999",
 3810          "contour_level_selection_type" : "level_list",
 ....
 3824          "contour_hilo" : "off",
 3825          "contour_label" : "off",
 3826:         "contour_legend_text" : "Contour shade (Range: 30 / 200, all colours)",
 3827          "contour_level_list" : "30/40/50/60/70/80/90/100/110/120/150/200/999",
 3828          "contour_level_selection_type" : "level_list",
 ....
 3842          "contour_hilo" : "off",
 3843          "contour_label" : "off",
 3844:         "contour_legend_text" : "Contour shade (Range: 0 / 1000, all colours)",
 3845          "contour_level_list" : "0/10/20/30/40/50/60/70/80/90/100/120/150/999",
 3846          "contour_level_selection_type" : "level_list",
 ....
 3860          "contour_hilo" : "off",
 3861          "contour_label" : "off",
 3862:         "contour_legend_text" : "Contour shade (Range: 17 / 101, DEFRA PM10 DAQI)",
 3863          "contour_level_list" : "17/34/51/59/67/76/84/92/101/9999",
 3864          "contour_level_selection_type" : "level_list",
 ....
 3878          "contour_hilo" : "off",
 3879          "contour_label" : "off",
 3880:         "contour_legend_text" : "Contour shade (Range: 12 / 71, DEFRA PM2.5 DAQI)",
 3881          "contour_level_list" : "12/24/36/42/48/54/59/65/71/9999",
 3882          "contour_level_selection_type" : "level_list",
 ....
 3896          "contour_hilo" : "off",
 3897          "contour_label" : "off",
 3898:         "contour_legend_text" : "Contour shade (Range: 10 / 500, MeteoSwiss precip_11lev)",
 3899          "contour_level_list" : "10/20/30/40/50/60/80/100/150/200/300/500/9999",
 3900          "contour_level_selection_type" : "level_list",
 ....
 3914          "contour_hilo" : "off",
 3915          "contour_label" : "off",
 3916:         "contour_legend_text" : "Contour shade (Range: 2 / 200, Regional PMx colour map)",
 3917          "contour_level_list" : "2/5/10/20/30/40/50/75/100/150/200/9999",
 3918          "contour_level_selection_type" : "level_list",
 ....
 3932          "contour_hilo" : "off",
 3933          "contour_label" : "off",
 3934:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, all colours)",
 3935          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 3936          "contour_level_selection_type" : "level_list",
 ....
 3950          "contour_hilo" : "off",
 3951          "contour_label" : "off",
 3952:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, all colours)",
 3953          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 3954          "contour_level_selection_type" : "level_list",
 ....
 3968          "contour_hilo" : "off",
 3969          "contour_label" : "off",
 3970:         "contour_legend_text" : "Contour shade (Range: 0.001 / 5, all colours)",
 3971          "contour_level_list" : "0.001/0.002/0.005/0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/999",
 3972          "contour_level_selection_type" : "level_list",
 ....
 3986          "contour_hilo" : "off",
 3987          "contour_label" : "off",
 3988:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, all colours)",
 3989          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 3990          "contour_level_selection_type" : "level_list",
 ....
 4004          "contour_hilo" : "off",
 4005          "contour_label" : "off",
 4006:         "contour_legend_text" : "Contour shade (Range: 0.01 / 500, all colours)",
 4007          "contour_level_list" : "0.01/0.05/0.1/0.5/1/2/5/10/20/50/100/200/500/999",
 4008          "contour_level_selection_type" : "level_list",
 ....
 4022          "contour_hilo" : "off",
 4023          "contour_label" : "off",
 4024:         "contour_legend_text" : "Contour shade (Range: 0 / 50, default colours)",
 4025          "contour_level_list" : "0.0/0.5/1.0/1.5/2.0/2.5/3.0/3.5/4.0/4.5/5.0/5.5/6/10/20/50",
 4026          "contour_level_selection_type" : "level_list",
 ....
 4040          "contour_hilo" : "off",
 4041          "contour_label" : "off",
 4042:         "contour_legend_text" : "Contour shade (Range: 1 / 100, default colours)",
 4043          "contour_level_list" : "1/2/3/4/5/6/7/8/9/10/15/20/50/100",
 4044          "contour_level_selection_type" : "level_list",
 ....
 4058          "contour_hilo" : "off",
 4059          "contour_label" : "off",
 4060:         "contour_legend_text" : "Contour shade (Range: 0 / 100, default colours)",
 4061          "contour_level_list" : "1.0/1.5/2.0/2.5/3.0/3.5/4.0/4.5/5.0/7/10/20/30/50/100",
 4062          "contour_level_selection_type" : "level_list",
 ....
 4076          "contour_hilo" : "off",
 4077          "contour_label" : "off",
 4078:         "contour_legend_text" : "Contour shade (Range: 100 / 600, default colours)",
 4079          "contour_level_list" : "100/125/150/175/200/225/250/275/300/325/350/375/400/425/450/475/500/550/600",
 4080          "contour_level_selection_type" : "level_list",
 ....
 4094          "contour_hilo" : "off",
 4095          "contour_label" : "off",
 4096:         "contour_legend_text" : "Contour shade (Range: 0.1 / 100, default colours)",
 4097          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/100/999",
 4098          "contour_level_selection_type" : "level_list",
 ....
 4112          "contour_hilo" : "off",
 4113          "contour_label" : "off",
 4114:         "contour_legend_text" : "Contour shade (Range: 1 / 25, UVI colours)",
 4115          "contour_level_list" : "1/2/3/4/5/6/7/8/9/10/11/13/15/18/25",
 4116          "contour_level_selection_type" : "level_list",
 ....
 4128          "contour_hilo" : "off",
 4129          "contour_label" : "off",
 4130:         "contour_legend_text" : "Contour shade (Range: -32 / 32)",
 4131          "contour_level_list" : "-32/-10/-6/-3/-1/0/1/3/6/10/32",
 4132          "contour_level_selection_type" : "level_list",
 ....
 4149          "contour_hilo" : "off",
 4150          "contour_label" : "off",
 4151:         "contour_legend_text" : "Contour shade (Range: -20 / 20)",
 4152          "contour_level_list" : "-60/-50/-35/-20/-14/-10/-8/-6/-4/-2/None/2/4/6/8/10/14/20/35/50/60",
 4153          "contour_level_selection_type" : "level_list",
 ....
 4164          "contour_hilo" : "off",
 4165          "contour_label" : "off",
 4166:         "contour_legend_text" : "Contour shade (Range: -320 / 320)",
 4167          "contour_level_list" : "-320/-40/-20/-10/-5/0/5/10/20/40/320",
 4168          "contour_level_selection_type" : "level_list",
 ....
 4182          "contour_hilo" : "off",
 4183          "contour_label" : "off",
 4184:         "contour_legend_text" : "Contour shade (Range: -320 / 320)",
 4185          "contour_level_list" : "-320/-90/-60/-30/-10/0/10/30/60/90/320",
 4186          "contour_level_selection_type" : "level_list",
 ....
 4200          "contour_hilo" : "off",
 4201          "contour_label" : "off",
 4202:         "contour_legend_text" : "Contour shade (Range: 0 / 900)",
 4203          "contour_level_list" : "0/25/50/100/150/200/300/500/900",
 4204          "contour_level_selection_type" : "level_list",
 ....
 4214          "contour_highlight" : "off",
 4215          "contour_label" : "off",
 4216:         "contour_legend_text" : "Contour shade (Range: 0/10000)",
 4217          "contour_level_list" : "0/200/500/1000/2000/3000/4000/5000/6000/7000/8000/9000/10000",
 4218          "contour_level_selection_type" : "level_list",
 ....
 4231          "contour_hilo" : "off",
 4232          "contour_label" : "off",
 4233:         "contour_legend_text" : "Contour shade (0-100%, black-grey)",
 4234          "contour_level_list" : "5/35/65/95/120",
 4235          "contour_level_selection_type" : "level_list",
 ....
 4251          "contour_hilo" : "off",
 4252          "contour_label" : "off",
 4253:         "contour_legend_text" : "Contour shade (Range: 0.8 / 25), used for T spread",
 4254          "contour_level_list" : "0.8/1.5/2.5/4.5/8/14/25",
 4255          "contour_level_selection_type" : "level_list",
 ....
 4267          "contour_hilo" : "off",
 4268          "contour_label" : "off",
 4269:         "contour_legend_text" : "Contour shade (Range: 2 / 30)",
 4270          "contour_level_list" : "2/4/6/8/12/18/30",
 4271          "contour_level_selection_type" : "level_list",
 ....
 4284          "contour_hilo" : "off",
 4285          "contour_label" : "off",
 4286:         "contour_legend_text" : "Contour shade (Range: 2 / 50)",
 4287          "contour_level_list" : "2/4/8/12/18/25/50",
 4288          "contour_level_selection_type" : "level_list",
 ....
 4301          "contour_hilo" : "off",
 4302          "contour_label" : "off",
 4303:         "contour_legend_text" : "Contour shade (Range: 2 / 75)",
 4304          "contour_level_list" : "2/6/12/18/30/40/75",
 4305          "contour_level_selection_type" : "level_list",
 ....
 4321          "contour_label_format" : "(F4.1)",
 4322          "contour_label_quality" : "high",
 4323:         "contour_legend_text" : "Contour shade (Range: 0.0 / 20.0, Douglas sea scale)",
 4324          "contour_level_list" : "0/0.1/0.5/1.25/2.5/4/6/9/14/20",
 4325          "contour_level_selection_type" : "level_list",
 ....
 4342          "contour_label_format" : "(F4.1)",
 4343          "contour_label_quality" : "high",
 4344:         "contour_legend_text" : "Contour shade (Range: 0.0 / 20.0)",
 4345          "contour_level_list" : "0/0.5/1/2/3/4/6/8/10/12/14/20",
 4346          "contour_level_selection_type" : "level_list",
 ....
 4364          "contour_label_format" : "(F4.1)",
 4365          "contour_label_quality" : "high",
 4366:         "contour_legend_text" : "Contour shade (Range: 0.0 / 20.0)",
 4367          "contour_level_list" : "0/0.5/1/2/3/4/6/8/10/12/14/20",
 4368          "contour_level_selection_type" : "level_list",
 ....
 4386          "contour_label_format" : "(F4.1)",
 4387          "contour_label_quality" : "high",
 4388:         "contour_legend_text" : "Contour shade (Range: 0.0 / 20.0), contours (warnings)",
 4389          "contour_level_list" : "0/0.5/1/2/3/4/6/8/10/12/14/20",
 4390          "contour_level_selection_type" : "level_list",
 ....
 4406          "contour_internal_reduction_factor" : 7,
 4407          "contour_label" : "off",
 4408:         "contour_legend_text" : "Contour shade (Range: -200 / -1)",
 4409          "contour_level_list" : "-200/-100/-75/-50/-30/-20/-15/-13/-11/-9/-7/-5/-3/-1",
 4410          "contour_level_selection_type" : "level_list",
 ....
 4423          "contour_hilo" : "off",
 4424          "contour_label" : "off",
 4425:         "contour_legend_text" : "Contour shade (Range: -50 / -0.05 )",
 4426          "contour_level_list" : "-50/-10/-5/-2/-1/-0.5/-0.3/-0.2/-0.1/-0.05",
 4427          "contour_level_selection_type" : "level_list",
 ....
 4437          "contour_hilo" : "off",
 4438          "contour_label" : "off",
 4439:         "contour_legend_text" : "Contour shade (0-1, intervals in octas)",
 4440          "contour_level_list" : "0.01/0.1875/0.3125/0.4375/0.5625/0.6875/0.8125/0.99/1.5",
 4441          "contour_level_selection_type" : "level_list",
 ....
 4452          "contour_hilo" : "off",
 4453          "contour_label" : "off",
 4454:         "contour_legend_text" : "Contour shade (0-100%, blue-purple)",
 4455          "contour_level_list" : "5/35/65/95/120",
 4456          "contour_level_selection_type" : "level_list",
 ....
 4473          "contour_hilo" : "off",
 4474          "contour_label" : "off",
 4475:         "contour_legend_text" : "Contour shade (0-100%, light blue-purple)",
 4476          "contour_level_list" : "5/35/65/95/120",
 4477          "contour_level_selection_type" : "level_list",
 ....
 4495          "contour_internal_reduction_factor" : 4,
 4496          "contour_label" : "off",
 4497:         "contour_legend_text" : "Contour shade (Range: 0.1 / 500)",
 4498          "contour_level_list" : "0.1/0.2/0.5/1/2/5/10/20/50/100/200/500",
 4499          "contour_level_selection_type" : "level_list",
 ....
 4511          "contour_internal_reduction_factor" : 4,
 4512          "contour_label" : "off",
 4513:         "contour_legend_text" : "Contour shade (Range: 0.5 / 250, with isolines)",
 4514          "contour_level_list" : "0.5/2/4/10/25/50/100/250",
 4515          "contour_level_selection_type" : "level_list",
 ....
 4527          "contour_hilo" : "off",
 4528          "contour_label" : "off",
 4529:         "contour_legend_text" : "Contour shade (Range: 0/300, with isolines)",
 4530          "contour_level_list" : "0.1/0.5/1/5/10/15/20/25/30/40/50/75/100/150/200/300",
 4531          "contour_level_selection_type" : "level_list",
 ....
 4544          "contour_label" : "off",
 4545          "contour_label_frequency" : 1,
 4546:         "contour_legend_text" : "Contour shade (Range: 1.0 / 250, no isolines)",
 4547          "contour_level_list" : "1/2.5/6/15/40/100/250",
 4548          "contour_level_selection_type" : "level_list",
 ....
 4564          "contour_label" : "off",
 4565          "contour_label_frequency" : 1,
 4566:         "contour_legend_text" : "Contour shade (Range: 1.0 / 250, no isolines)",
 4567          "contour_level_list" : "1/2.5/6/15/40/100/250",
 4568          "contour_level_selection_type" : "level_list",
 ....
 4583          "contour_hilo" : "off",
 4584          "contour_label" : "off",
 4585:         "contour_legend_text" : "Contour shade (Range: 504/604)",
 4586          "contour_level_list" : "488/504/508/512/516/520/524/528/532/536/540/544/548/552/556/560/564/568/572/576/580/584/588/592/596/604",
 4587          "contour_level_selection_type" : "level_list",
 ....
 4600          "contour_label_frequency" : 1,
 4601          "contour_label_quality" : "high",
 4602:         "contour_legend_text" : "Contour shade (Range: -1.0 / 1.0)",
 4603          "contour_level_list" : "-1.5/-0.90/-0.80/-0.70/-0.60/-0.5/-0.4/-0.3/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1.5",
 4604          "contour_level_selection_type" : "level_list",
 ....
 4617          "contour_internal_reduction_factor" : 7,
 4618          "contour_label" : "off",
 4619:         "contour_legend_text" : "Contour shade (MORE CONTOURS) Range: -200 / 200",
 4620          "contour_level_list" : "-200/-100/-75/-50/-30/-20/-15/-13/-11/-9/-7/-5/-3/-1/1/3/5/7/9/11/13/15/20/30/50/75/100/200",
 4621          "contour_level_selection_type" : "level_list",
 ....
 4632          "contour_hilo" : "off",
 4633          "contour_label" : "off",
 4634:         "contour_legend_text" : "Contour shade Range: -200 / 200",
 4635          "contour_level_list" : "-200/-100/-75/-50/-30/-20/-15/-13/-11/-9/-7/-5/-3/-1/1/3/5/7/9/11/13/15/20/30/50/75/100/200",
 4636          "contour_level_selection_type" : "level_list",
 ....
 4649          "contour_internal_reduction_factor" : 7,
 4650          "contour_label" : "off",
 4651:         "contour_legend_text" : "Contour shade (LESS CONTOURS) Range: -200 / 200",
 4652          "contour_level_list" : "-200/-100/-50/-20/-15/-11/-7/-5/-3/-1/1/3/5/7/11/15/20/50/100/200",
 4653          "contour_level_selection_type" : "level_list",
 ....
 4664          "contour_hilo" : "off",
 4665          "contour_label" : "off",
 4666:         "contour_legend_text" : "Contour shade (LESS CONTOURS, ADAPTIVE) Range: -200 / 200",
 4667          "contour_level_list" : "-200/-100/-50/-20/-15/-11/-7/-5/-3/-1/1/3/5/7/11/15/20/50/100/200",
 4668          "contour_level_selection_type" : "level_list",
 ....
 4681          "contour_hilo" : "off",
 4682          "contour_label" : "off",
 4683:         "contour_legend_text" : "Contour shade (NARROW RANGE) Range: -30 / 30",
 4684          "contour_level_list" : "-30/-10/-8/-6/-4/-2/2/4/6/8/10/30",
 4685          "contour_level_selection_type" : "level_list",
 ....
 4697          "contour_hilo" : "off",
 4698          "contour_label" : "off",
 4699:         "contour_legend_text" : "Contour shade (Range: -50 / 50 )",
 4700          "contour_level_list" : "-50/-10/-5/-2/-1/-0.5/-0.3/-0.2/-0.1/-0.05/0.05/0.1/0.2/0.3/0.5/1/2/5/10/50",
 4701          "contour_level_selection_type" : "level_list",
 ....
 4711          "contour_highlight" : "off",
 4712          "contour_label" : "off",
 4713:         "contour_legend_text" : "Contour shade (Range: 0/100)",
 4714          "contour_level_list" : "0/8/12/18/24/30/40/50/65/80/100",
 4715          "contour_level_selection_type" : "level_list",
 ....
 4731          "contour_hilo" : "off",
 4732          "contour_label" : "off",
 4733:         "contour_legend_text" : "Orography shading with 28 levels (brown)",
 4734          "contour_level_list" : "-4/-0.002/0.01/0.2/0.5/1/1.5/2/2.5/3/4/5/6/7/8/9/10/12.5/15/17.5/20/22.5/25/30/35/40/45/50/80",
 4735          "contour_level_selection_type" : "level_list",
 ....
 4749          "contour_hilo" : "off",
 4750          "contour_label" : "off",
 4751:         "contour_legend_text" : "Orography shading with 16 levels",
 4752          "contour_level_list" : "-4/-0.002/0.01/0.2/1/2/3/5/8/10/15/20/25/30/40/50/80",
 4753          "contour_level_selection_type" : "level_list",
 ....
 4768          "contour_hilo" : "off",
 4769          "contour_label" : "off",
 4770:         "contour_legend_text" : "Contour shade (Range: 0 / 22000)",
 4771          "contour_level_list" : "0/50/100/200/300/600/1000/1500/2000/2500/3000/6000/10000/22000",
 4772          "contour_level_selection_type" : "level_list",
 ....
 4786          "contour_hilo" : "off",
 4787          "contour_label" : "off",
 4788:         "contour_legend_text" : "Contour shade (Range: 0 / 22000)",
 4789          "contour_level_list" : "0/50/100/200/300/600/1000/1500/2000/2500/3000/6000/10000/22000",
 4790          "contour_level_selection_type" : "level_list",
 ....
 4802          "contour_hilo" : "off",
 4803          "contour_label" : "off",
 4804:         "contour_legend_text" : "Contour shade (Range: -20 / 20)",
 4805          "contour_level_list" : "-8./-7. / -6. / -5. / -4. / -3./-2.5/ -2. / -1.5/ -1. / -0.5/0.5/1.0/1.5/2.0/2.5/3.0/4.0/5.0/6.0/7.0/8.0/9",
 4806          "contour_level_selection_type" : "level_list",
 ....
 4818          "contour_hilo" : "off",
 4819          "contour_label" : "off",
 4820:         "contour_legend_text" : "Contour shade (Range: -30 / 30)",
 4821          "contour_level_list" : "-30/-25/-20/-15/-10/-8/-6/-5/-4/-3/-2/-1/1/2/3/4/5/6/8/10/15/20/25/30",
 4822          "contour_level_selection_type" : "level_list",
 ....
 4836          "contour_hilo" : "off",
 4837          "contour_label" : "off",
 4838:         "contour_legend_text" : "Contour shade (Range: 1560.0 / 1940.0, diverging colours)",
 4839          "contour_level_list" : "1560.0/1720.0/1740.0/1760.0/1780.0/1800.0/1820.0/1840.0/1860.0/1880.0/1900.0/1920.0/1940.0/2300.0",
 4840          "contour_level_selection_type" : "level_list",
 ....
 4854          "contour_hilo" : "off",
 4855          "contour_label" : "off",
 4856:         "contour_legend_text" : "Contour shade (Range: 1620.0 / 1900.0, diverging colours)",
 4857          "contour_level_list" : "1620.0/1770.0/1780.0/1790.0/1800.0/1810.0/1820.0/1830.0/1840.0/1850.0/1860.0/1870.0/1880.0/1890.0/1900.0/2360.0",
 4858          "contour_level_selection_type" : "level_list",
 ....
 4872          "contour_hilo" : "off",
 4873          "contour_label" : "off",
 4874:         "contour_legend_text" : "Contour shade (Range: 0.0 / 2100.0, diverging colours)",
 4875          "contour_level_list" : "0.0/950.0/1000.0/1050.0/1100.0/1150.0/1200.0/1250.0/1300.0/1350.0/1400.0/1450.0/1500.0/1550.0/1600.0/1650.0/1700.0/1750.0/1800.0/1850.0/1900.0/1950.0/2000.0/2050.0/2100.0/2400.0",
 4876          "contour_level_selection_type" : "level_list",
 ....
 4890          "contour_hilo" : "off",
 4891          "contour_label" : "off",
 4892:         "contour_legend_text" : "Contour shade (Range: 1420.0 / 1940.0, diverging colours)",
 4893          "contour_level_list" : "1420.0/1740.0/1760.0/1780.0/1800.0/1820.0/1840.0/1860.0/1880.0/1900.0/1920.0/1940.0/24840.0",
 4894          "contour_level_selection_type" : "level_list",
 ....
 4908          "contour_hilo" : "off",
 4909          "contour_label" : "off",
 4910:         "contour_legend_text" : "Contour shade (Range: 312.0 / 414.0, diverging colours)",
 4911          "contour_level_list" : "312.0/390.0/392.0/394.0/396.0/398.0/400.0/402.0/404.0/406.0/408.0/410.0/412.0/414.0/436.0",
 4912          "contour_level_selection_type" : "level_list",
 ....
 4926          "contour_hilo" : "off",
 4927          "contour_label" : "off",
 4928:         "contour_legend_text" : "Contour shade (Range: 294.0 / 416.0, diverging colours)",
 4929          "contour_level_list" : "294.0/390.0/392.0/394.0/396.0/398.0/400.0/402.0/404.0/406.0/408.0/410.0/412.0/414.0/416.0/460.0",
 4930          "contour_level_selection_type" : "level_list",
 ....
 4944          "contour_hilo" : "off",
 4945          "contour_label" : "off",
 4946:         "contour_legend_text" : "Contour shade (Range: 386.0 / 401.0, diverging colours)",
 4947          "contour_level_list" : "386.0/391.0/392.0/393.0/394.0/395.0/396.0/397.0/398.0/399.0/400.0/401.0/404.0",
 4948          "contour_level_selection_type" : "level_list",
 ....
 4962          "contour_hilo" : "off",
 4963          "contour_label" : "off",
 4964:         "contour_legend_text" : "Contour shade (Range: 120.0 / 430.0, diverging colours)",
 4965          "contour_level_list" : "120.0/380.0/385.0/390.0/395.0/400.0/405.0/410.0/415.0/420.0/425.0/430.0/1465.0",
 4966          "contour_level_selection_type" : "level_list",
 ....
 4981          "contour_label_format" : "(F4.1)",
 4982          "contour_label_quality" : "high",
 4983:         "contour_legend_text" : "Douglas sea scale",
 4984          "contour_level_list" : "0/0.1/0.5/1.25/2.5/4/6/9/14/25",
 4985          "contour_level_selection_type" : "level_list",
 ....
 5000          "contour_hilo" : "off",
 5001          "contour_label" : "off",
 5002:         "contour_legend_text" : "Contour shade (Coarse range: -1.5 / 1.5)",
 5003          "contour_level_list" : "-1.5/-0.75/-0.5/0.5/0.75/1.5",
 5004          "contour_level_selection_type" : "level_list",
 ....
 5015          "contour_hilo" : "off",
 5016          "contour_label" : "off",
 5017:         "contour_legend_text" : "Shading without contours ( -1. / 1.)",
 5018          "contour_level_list" : "-1.5/-0.9/-0.8/-0.7/-0.6/-0.5/none/0.5/0.6/0.7/0.8/0.9/1.5",
 5019          "contour_level_selection_type" : "level_list",
 ....
 5030          "contour_hilo" : "off",
 5031          "contour_label" : "off",
 5032:         "contour_legend_text" : "Shading without contours (0.5 / 1.)",
 5033          "contour_level_list" : "0.5/0.6/0.7/0.8/0.9/1.5",
 5034          "contour_level_selection_type" : "level_list",
 ....
 5045          "contour_interval" : "4",
 5046          "contour_label" : "off",
 5047:         "contour_legend_text" : "Contour shade (Range: -48 / 56)",
 5048          "contour_level_selection_type" : "interval",
 5049          "contour_line_contour" : "dot",
 ....
 5062          "contour_hilo" : "off",
 5063          "contour_label" : "off",
 5064:         "contour_legend_text" : "Orography shading with 16 levels",
 5065          "contour_level_list" : "-4/-0.002/0.01/0.2/1/2/3/5/8/10/15/20/25/30/40/50/80",
 5066          "contour_level_selection_type" : "level_list",
 ....
 5080          "contour_hilo" : "off",
 5081          "contour_label" : "off",
 5082:         "contour_legend_text" : "Orography shading with 28 levels",
 5083          "contour_level_list" : "-4/-0.002/0.01/0.2/0.5/1/1.5/2/2.5/3/4/5/6/7/8/9/10/12.5/15/17.5/20/22.5/25/30/35/40/45/50/80",
 5084          "contour_level_selection_type" : "level_list",
 ....
 5099          "contour_hilo" : "off",
 5100          "contour_label" : "off",
 5101:         "contour_legend_text" : "Orography shading with 28 levels (grid shading)",
 5102          "contour_level_list" : "-0.9/-0.01/0.0/0.05/0.2/0.5/1/1.5/2/2.5/3/4/5/6/7/8/9/10/12.5/15/17.5/20/22.5/25/30/35/40/45/50/80",
 5103          "contour_level_selection_type" : "level_list",
 ....
 5113          "contour_hilo" : "off",
 5114          "contour_label" : "off",
 5115:         "contour_legend_text" : "Contour shade (Range: 15 / 60)",
 5116          "contour_level_list" : "15/20/25/30/35/40/60",
 5117          "contour_level_selection_type" : "level_list",
 ....
 5128          "contour_hilo" : "off",
 5129          "contour_label" : "off",
 5130:         "contour_legend_text" : "Contour shade (Range: 44 / 70)",
 5131          "contour_level_list" : "44/45/46/47/49/51/56/70",
 5132          "contour_level_selection_type" : "level_list",
 ....
 5143          "contour_hilo" : "off",
 5144          "contour_label" : "off",
 5145:         "contour_legend_text" : "Shade (Range: 0 / 90000 )",
 5146          "contour_level_list" : "0/100/500/1000/5000/10000/50000/90000",
 5147          "contour_level_selection_type" : "level_list",
 ....
 5156          "contour_description" : "Method : contour shade Level list from 100 to 1100",
 5157          "contour_label" : "off",
 5158:         "contour_legend_text" : "Transparent contour shade (Range: 100 / 1100)",
 5159          "contour_level_list" : "100/1100",
 5160          "contour_level_selection_type" : "level_list",
 ....
 5170          "contour_description" : "Method : contour shade Level list from 200 to 1100",
 5171          "contour_label" : "off",
 5172:         "contour_legend_text" : "Transparent contour shade (Range:200 / 1100)",
 5173          "contour_level_list" : "200/1100",
 5174          "contour_level_selection_type" : "level_list",
 ....
 5184          "contour_description" : "Method : contour shade Level list from 100 to 1100",
 5185          "contour_label" : "off",
 5186:         "contour_legend_text" : "Transparent contour shade (Range: 50 / 1100)",
 5187          "contour_level_list" : "50/1100",
 5188          "contour_level_selection_type" : "level_list",
 ....
 5199          "contour_hilo" : "off",
 5200          "contour_label" : "off",
 5201:         "contour_legend_text" : "Contour shade (0-100%, green)",
 5202          "contour_level_list" : "5/35/65/95/120",
 5203          "contour_level_selection_type" : "level_list",
 ....
 5217          "contour_hilo" : "off",
 5218          "contour_label" : "off",
 5219:         "contour_legend_text" : "Contour shade (0-100%, light green)",
 5220          "contour_level_list" : "5/35/65/95/120",
 5221          "contour_level_selection_type" : "level_list",
 ....
 5237          "contour_label_format" : "(F4.1)",
 5238          "contour_label_quality" : "high",
 5239:         "contour_legend_text" : "Contour shade (Range: 0.0 / 18.5)",
 5240          "contour_level_list" : "0.0/3.5/5.0/6.5/8.0/9.5/11.0/12.5/14.0/15.5/17.0/18.5",
 5241          "contour_level_selection_type" : "level_list",
 ....
 5255          "contour_hilo" : "off",
 5256          "contour_label" : "off",
 5257:         "contour_legend_text" : "Contour shade (Range: 10 / 100, green)",
 5258          "contour_level_list" : "10/15/20/25/30/40/50/60/80/100",
 5259          "contour_level_selection_type" : "list",
 ....
 5274          "contour_hilo" : "off",
 5275          "contour_label" : "off",
 5276:         "contour_legend_text" : "Contour shade (Range: 30 / 100, green)",
 5277          "contour_level_list" : "30/40/50/60/70/80/90/100",
 5278          "contour_level_selection_type" : "level_list",
 ....
 5290          "contour_hilo" : "off",
 5291          "contour_label" : "off",
 5292:         "contour_legend_text" : "Contour shade (Range: 65 / 100)",
 5293          "contour_level_list" : "65/80/95/200",
 5294          "contour_level_selection_type" : "level_list",
 ....
 5308          "contour_hilo" : "off",
 5309          "contour_label" : "off",
 5310:         "contour_legend_text" : "Contour shade (Range: 65 / 100)",
 5311          "contour_level_list" : "65/80/95/200",
 5312          "contour_level_selection_type" : "level_list",
 ....
 5326          "contour_hilo" : "off",
 5327          "contour_label" : "off",
 5328:         "contour_legend_text" : "Contour shade (1-100%, more levels)",
 5329          "contour_level_list" : "1/5/10/20/40/65/95/102",
 5330          "contour_level_selection_type" : "level_list",
 ....
 5340          "contour_hilo" : "off",
 5341          "contour_label" : "off",
 5342:         "contour_legend_text" : "Contour shade (0-1, intervals in octas)",
 5343          "contour_level_list" : "0.01/0.1875/0.3125/0.4375/0.5625/0.6875/0.8125/0.99/1.5",
 5344          "contour_level_selection_type" : "level_list",
 ....
 5357          "contour_label" : "off",
 5358          "contour_label_frequency" : 1,
 5359:         "contour_legend_text" : "Contour shade (Range: 1.0 / 250, no isolines)",
 5360          "contour_level_list" : "1/2.5/6/15/40/100/250",
 5361          "contour_level_selection_type" : "level_list",
 ....
 5375          "contour_hilo" : "off",
 5376          "contour_label" : "off",
 5377:         "contour_legend_text" : "Contour shade (0-1, intervals in octas)",
 5378          "contour_level_list" : "0.01/0.1875/0.3125/0.4375/0.5625/0.6875/0.8125/0.99/1.5",
 5379          "contour_level_selection_type" : "level_list",
 ....
 5390          "contour_hilo" : "off",
 5391          "contour_label" : "off",
 5392:         "contour_legend_text" : "Contour shade (Range: 0.0 / 1.0 & 1.5 / 20)",
 5393          "contour_level_list" : "0/0.4/0.7/1/1.5/2/3/4/5/10/20",
 5394          "contour_level_selection_type" : "level_list",
 ....
 5405          "contour_interval" : 4,
 5406          "contour_label" : "off",
 5407:         "contour_legend_text" : "Contour shade (Range: -76 / 56)",
 5408          "contour_level_selection_type" : "interval",
 5409          "contour_line_contour" : "dot",
 ....
 5423          "contour_hilo" : "off",
 5424          "contour_label" : "off",
 5425:         "contour_legend_text" : "Contour shade (Range: 0 / 22000)",
 5426          "contour_level_list" : "0/1000/2000/3000/4000/5000/6000/8000/10000/12000/14000/16000/22000",
 5427          "contour_level_selection_type" : "level_list",
 ....
 5441          "contour_hilo" : "off",
 5442          "contour_label" : "off",
 5443:         "contour_legend_text" : "Contour shade (Range: 0 / 22000)",
 5444          "contour_level_list" : "0/1000/2000/3000/4000/5000/6000/8000/10000/12000/14000/16000/22000",
 5445          "contour_level_selection_type" : "level_list",
 ....
 5457          "contour_hilo" : "off",
 5458          "contour_label" : "off",
 5459:         "contour_legend_text" : "Contour shade (Range: -100/10000)",
 5460          "contour_level_list" : "-100/10/100/200/300/400/600/800/1000/1200/1500/2000/3000/4500/10000",
 5461          "contour_level_selection_type" : "level_list",
 ....
 5475          "contour_interval" : "4",
 5476          "contour_label" : "off",
 5477:         "contour_legend_text" : "Contour shade (Range: -0.5 / 7)",
 5478          "contour_level_list" : "-0.05/0.05/0.2/0.6/1/1.5/2/3/4/5/6/7",
 5479          "contour_level_selection_type" : "level_list",
 ....
 5492          "contour_hilo" : "off",
 5493          "contour_label" : "off",
 5494:         "contour_legend_text" : "Contour shade (0-1, intervals in octas)",
 5495          "contour_level_list" : "0.01/0.1875/0.3125/0.4375/0.5625/0.6875/0.8125/0.99/1.5",
 5496          "contour_level_selection_type" : "level_list",
 ....
 5506          "contour_description" : "Lightning density - Default view",
 5507          "contour_label" : "off",
 5508:         "contour_legend_text" : "Contour shade More levels)",
 5509          "contour_level_list" : "5/10/20/30/40/50/60/70/80/90/100",
 5510          "contour_level_selection_type" : "level_list",
 ....
 5519          "contour_description" : "Lightning density probability",
 5520          "contour_label" : "off",
 5521:         "contour_legend_text" : "Contour shade (More levels)",
 5522          "contour_level_list" : "5/10/20/30/40/50/60/70/80/90/100",
 5523          "contour_level_selection_type" : "level_list",
 ....
 5532          "contour_description" : "Lightning density probability",
 5533          "contour_label" : "off",
 5534:         "contour_legend_text" : "Contour shade (Less levels)",
 5535          "contour_level_list" : "5/30/60/90/100",
 5536          "contour_level_selection_type" : "level_list",
 ....
 5545          "contour_description" : "Lightning density probability",
 5546          "contour_label" : "off",
 5547:         "contour_legend_text" : "Contour shade (Less levels)",
 5548          "contour_level_list" : "5/30/60/90/100",
 5549          "contour_level_selection_type" : "level_list",
 ....
 5559          "contour_hilo" : "off",
 5560          "contour_label" : "off",
 5561:         "contour_legend_text" : "Contour shade (Range: 0 / 10000)",
 5562          "contour_level_list" : "-1000/10/100/200/400/700/1000/1500/2000/2500/3000/3500/4000/5000/6000/10000",
 5563          "contour_level_selection_type" : "level_list",
 ....
 5577          "contour_hilo" : "off",
 5578          "contour_label" : "off",
 5579:         "contour_legend_text" : "Contour shade (Range: 10/13000)",
 5580          "contour_level_list" : "10/100/200/400/600/800/1000/1200/1400/1600/1800/2000/2500/3000/3500/4000/5000/8000/13000",
 5581          "contour_level_selection_type" : "level_list",
 ....
 5591          "contour_hilo" : "off",
 5592          "contour_label" : "off",
 5593:         "contour_legend_text" : "Contour shade (Range: 10/4000)",
 5594          "contour_level_list" : "10/50/100/200/300/400/500/600/800/1000/1250/1500/1750/2000/4000",
 5595          "contour_level_selection_type" : "level_list",
 ....
 5605          "contour_hilo" : "off",
 5606          "contour_label" : "off",
 5607:         "contour_legend_text" : "Contour shade (Range: 0.1 / 100)",
 5608          "contour_level_list" : "0.1/1/5/10/15/20/25/30/40/60/80/100",
 5609          "contour_level_selection_type" : "level_list",
 ....
 5619          "contour_hilo" : "off",
 5620          "contour_label" : "off",
 5621:         "contour_legend_text" : "Contour shade (Range: 0/20)",
 5622          "contour_level_list" : "0/0.5/1/2/3/4/6/8/10/12/14/20",
 5623          "contour_level_selection_type" : "level_list",
 ....
 5633          "contour_hilo" : "off",
 5634          "contour_label" : "off",
 5635:         "contour_legend_text" : "Contour shade (Range: -80 / 60)",
 5636          "contour_level_list" : "-80/-50/-40/-35/-30/-25/-20/-15/-10/-5/0/5/10/15/20/25/30/35/40/50/60",
 5637          "contour_level_selection_type" : "level_list",
 ....
 5647          "contour_hilo" : "off",
 5648          "contour_label" : "off",
 5649:         "contour_legend_text" : "Contour shade (Range: 0 / 80)",
 5650          "contour_level_list" : "0.1/1/2/5/10/15/20/30/40/50/60/80/100/150/200/250/300/500/700/1000",
 5651          "contour_level_selection_type" : "level_list",
 ....
 5661          "contour_hilo" : "off",
 5662          "contour_label" : "off",
 5663:         "contour_legend_text" : "Contour shade (Range: 0 / 80)",
 5664          "contour_level_list" : "0/2/4/6/8/10/12/15/18/21/25/30/35/40/45/50/80",
 5665          "contour_level_selection_type" : "level_list",
 ....
 5676          "contour_hilo" : "off",
 5677          "contour_label" : "off",
 5678:         "contour_legend_text" : "Contour shade (0-100%, every 10%)",
 5679          "contour_level_list" : "0/10/20/40/50/60/70/110",
 5680          "contour_level_selection_type" : "level_list",
 ....
 5692          "contour_hilo" : "off",
 5693          "contour_label" : "off",
 5694:         "contour_legend_text" : "Tercile shading",
 5695          "contour_level_list" : "0/10/20/40/50/60/70/110",
 5696          "contour_level_selection_type" : "level_list",
 ....
 5733          "contour_hilo" : "off",
 5734          "contour_label" : "off",
 5735:         "contour_legend_text" : "Decile shading",
 5736          "contour_level_list" : "0/5/8/12/20/40/60/110",
 5737          "contour_level_selection_type" : "level_list",
 ....
 5749          "contour_hilo" : "off",
 5750          "contour_label" : "off",
 5751:         "contour_legend_text" : "Quintile shading",
 5752          "contour_level_list" : "0/10/15/25/50/60/70/110",
 5753          "contour_level_selection_type" : "level_list",
 ....
 5765          "contour_hilo" : "off",
 5766          "contour_label" : "off",
 5767:         "contour_legend_text" : "Contour shade (0-100%, every 10%)",
 5768          "contour_level_list" : "0/10/20/40/50/60/70/110",
 5769          "contour_level_selection_type" : "level_list",
 ....
 5781          "contour_hilo" : "off",
 5782          "contour_label" : "off",
 5783:         "contour_legend_text" : "Tercile shading",
 5784          "contour_level_list" : "0/10/20/40/50/60/70/110",
 5785          "contour_level_selection_type" : "level_list",
 ....
 5796          "contour_hilo" : "off",
 5797          "contour_label" : "on",
 5798:         "contour_legend_text" : "Contours multi-coloured (Range: 444 / 618)",
 5799          "contour_level_list" : "444/450/456/462/468/474/480/486/492/498/504/510/516/522/528/534/540/546/552/558/564/570/576/582/588/594/600/606/612/618",
 5800          "contour_level_selection_type" : "level_list",
 ....
 5812          "contour_highlight" : "off",
 5813          "contour_label" : "off",
 5814:         "contour_legend_text" : "Contour shade (Range: 0/10000)",
 5815          "contour_level_list" : "0/1500/3000/4500/6000/7500/9000/10500/12000/13500",
 5816          "contour_level_selection_type" : "level_list",
 ....
 5830          "contour_hilo" : "off",
 5831          "contour_label" : "off",
 5832:         "contour_legend_text" : "Contour shade (Range: 1560.0 / 1940.0, nipy_spectral colours)",
 5833          "contour_level_list" : "1560.0/1720.0/1740.0/1760.0/1780.0/1800.0/1820.0/1840.0/1860.0/1880.0/1900.0/1920.0/1940.0/2300.0",
 5834          "contour_level_selection_type" : "level_list",
 ....
 5849          "contour_hilo" : "off",
 5850          "contour_label" : "off",
 5851:         "contour_legend_text" : "Contour shade (Range: 1620.0 / 1950.0, nipy_spectral colours)",
 5852          "contour_level_list" : "1620.0/1720.0/1730.0/1740.0/1750.0/1760.0/1770.0/1780.0/1790.0/1800.0/1810.0/1820.0/1830.0/1840.0/1850.0/1860.0/1870.0/1880.0/1890.0/1900.0/1910.0/1920.0/1930.0/1940.0/1950.0/2360.0",
 5853          "contour_level_selection_type" : "level_list",
 ....
 5868          "contour_hilo" : "off",
 5869          "contour_label" : "off",
 5870:         "contour_legend_text" : "Contour shade (Range: 0.0 / 2100.0, nipy_spectral colours)",
 5871          "contour_level_list" : "0.0/950.0/1000.0/1050.0/1100.0/1150.0/1200.0/1250.0/1300.0/1350.0/1400.0/1450.0/1500.0/1550.0/1600.0/1650.0/1700.0/1750.0/1800.0/1850.0/1900.0/1950.0/2000.0/2050.0/2100.0/2400.0",
 5872          "contour_level_selection_type" : "level_list",
 ....
 5887          "contour_hilo" : "off",
 5888          "contour_label" : "off",
 5889:         "contour_legend_text" : "Contour shade (Range: 1420.0 / 2020.0, nipy_spectral colours)",
 5890          "contour_level_list" : "1420.0/1660.0/1680.0/1700.0/1720.0/1740.0/1760.0/1780.0/1800.0/1820.0/1840.0/1860.0/1880.0/1900.0/1920.0/1940.0/1960.0/1980.0/2000.0/2020.0/24840.0",
 5891          "contour_level_selection_type" : "level_list",
 ....
 5906          "contour_hilo" : "off",
 5907          "contour_label" : "off",
 5908:         "contour_legend_text" : "Contour shade (Range: 0.0 / 2060.0, nipy_spectral colours)",
 5909          "contour_level_list" : "0.0/1640.0/1660.0/1680.0/1700.0/1720.0/1740.0/1760.0/1780.0/1800.0/1820.0/1840.0/1860.0/1880.0/1900.0/1920.0/1940.0/1960.0/1980.0/2000.0/2020.0/2040.0/2060.0/75600.0",
 5910          "contour_level_selection_type" : "level_list",
 ....
 5925          "contour_hilo" : "off",
 5926          "contour_label" : "off",
 5927:         "contour_legend_text" : "Contour shade (Range: 0.0 / 1920.0, nipy_spectral colours)",
 5928          "contour_level_list" : "0.0/1640.0/1660.0/1680.0/1700.0/1720.0/1740.0/1760.0/1780.0/1800.0/1820.0/1840.0/1860.0/1880.0/1900.0/1920.0/2320.0",
 5929          "contour_level_selection_type" : "level_list",
 ....
 5944          "contour_hilo" : "off",
 5945          "contour_label" : "off",
 5946:         "contour_legend_text" : "Contour shade (Range: 312.0 / 406.0, nipy_spectral colours)",
 5947          "contour_level_list" : "312.0/398.5/399.0/399.5/400.0/400.5/401.0/401.5/402.0/402.5/403.0/403.5/404.0/404.5/405.0/405.5/406.0/434.5",
 5948          "contour_level_selection_type" : "level_list",
 ....
 5963          "contour_hilo" : "off",
 5964          "contour_label" : "off",
 5965:         "contour_legend_text" : "Contour shade (Range: 294.5 / 407.5, nipy_spectral colours)",
 5966          "contour_level_list" : "294.5/398.5/399.0/399.5/400.0/400.5/401.0/401.5/402.0/402.5/403.0/403.5/404.0/404.5/405.0/405.5/406.0/406.5/407.0/407.5/459.0",
 5967          "contour_level_selection_type" : "level_list",
 ....
 5982          "contour_hilo" : "off",
 5983          "contour_label" : "off",
 5984:         "contour_legend_text" : "Contour shade (Range: 386.5 / 403.0, nipy_spectral colours)",
 5985          "contour_level_list" : "386.5/389.0/389.5/390.0/390.5/391.0/391.5/392.0/392.5/393.0/393.5/394.0/394.5/395.0/395.5/396.0/396.5/397.0/397.5/398.0/398.5/399.0/399.5/400.0/400.5/401.0/401.5/402.0/402.5/403.0/403.5",
 5986          "contour_level_selection_type" : "level_list",
 ....
 6001          "contour_hilo" : "off",
 6002          "contour_label" : "off",
 6003:         "contour_legend_text" : "Contour shade (Range: 122.5 / 411.0, nipy_spectral colours)",
 6004          "contour_level_list" : "122.5/396.0/396.5/397.0/397.5/398.0/398.5/399.0/399.5/400.0/400.5/401.0/401.5/402.0/402.5/403.0/403.5/404.0/404.5/405.0/405.5/406.0/406.5/407.0/407.5/408.0/408.5/409.0/409.5/410.0/410.5/411.0/1460.5",
 6005          "contour_level_selection_type" : "level_list",
 ....
 6020          "contour_hilo" : "off",
 6021          "contour_label" : "off",
 6022:         "contour_legend_text" : "Contour shade (Range: 180.0 / 440.0, nipy_spectral colours)",
 6023          "contour_level_list" : "180.0/369.0/370.0/371.0/372.0/373.0/374.0/375.0/376.0/377.0/378.0/379.0/380.0/381.0/382.0/383.0/384.0/385.0/386.0/387.0/388.0/389.0/390.0/391.0/392.0/393.0/394.0/395.0/396.0/397.0/398.0/399.0/400.0/401.0/402.0/403.0/404.0/405.0/406.0/407.0/408.0/409.0/410.0/411.0/412.0/413.0/414.0/415.0/416.0/417.0/418.0/419.0/420.0/421.0/422.0/423.0/424.0/425.0/426.0/427.0/428.0/429.0/430.0/431.0/432.0/433.0/434.0/435.0/436.0/437.0/438.0/439.0/440.0/2460.0",
 6024          "contour_level_selection_type" : "level_list",
 ....
 6039          "contour_hilo" : "off",
 6040          "contour_label" : "off",
 6041:         "contour_legend_text" : "Contour shade (Range: 300 / 415, nipy_spectral colours)",
 6042          "contour_level_list" : "300/396/397/398/399/400/401/402/403/404/405/406/407/408/409/410/411/412/413/414/415/500",
 6043          "contour_level_selection_type" : "level_list",
 ....
 6094          "contour_hilo" : "off",
 6095          "contour_label" : "off",
 6096:         "contour_legend_text" : "Contour shade (From 0.08)",
 6097          "contour_level_list" : "0.08/0.15/0.3/0.65/1.3/2.7/5.6/11.5/23.7/48.6/100/205/400/864/1775",
 6098          "contour_level_selection_type" : "level_list",
 ....
 6109          "contour_hilo" : "off",
 6110          "contour_label" : "off",
 6111:         "contour_legend_text" : "Grid shading (From 0.07 as in radar images)",
 6112          "contour_level_list" : "0.08/0.15/0.3/0.65/1.3/2.7/5.6/11.5/23.7/48.6/100/205/400/864/1775",
 6113          "contour_level_selection_type" : "level_list",
 ....
 6126          "contour_hilo" : "off",
 6127          "contour_label" : "off",
 6128:         "contour_legend_text" : "Grid shading (From 0.1 to 256)",
 6129          "contour_level_list" : "0.1/0.2/0.5/1/2/4/8/16/32/64/256",
 6130          "contour_level_selection_type" : "level_list",
 ....
 6142          "contour_hilo" : "off",
 6143          "contour_label" : "off",
 6144:         "contour_legend_text" : "Contour shade (Range: -320 / 320)",
 6145          "contour_level_list" : "0/10/20/30/40/60/70/80/90/110",
 6146          "contour_level_selection_type" : "level_list",
 ....
 6156          "contour_hilo" : "off",
 6157          "contour_label" : "off",
 6158:         "contour_legend_text" : "Contour shade (Range: -320 / 320)",
 6159          "contour_level_list" : "0/10/20/30/40/60/70/80/90/110",
 6160          "contour_level_selection_type" : "level_list",
 ....
 6169          "contour_hilo" : "off",
 6170          "contour_label" : "off",
 6171:         "contour_legend_text" : "Contour shade (Range: 0.8 / 25 in K, more levels) ",
 6172          "contour_level_list" : "0.8/1.2/1.6/2.0/2.5/5.0/7.5/10.0/12.5/15.0/20.0/25.0",
 6173          "contour_level_selection_type" : "level_list",
 ....
 6187          "contour_hilo" : "off",
 6188          "contour_label" : "off",
 6189:         "contour_legend_text" : "Contour shade (Range: 2 / 30, more levels)",
 6190          "contour_level_list" : "2/3/4/5/6/8/10/12/14/18/25/30",
 6191          "contour_level_selection_type" : "level_list",
 ....
 6205          "contour_hilo" : "off",
 6206          "contour_label" : "off",
 6207:         "contour_legend_text" : "Contour shade (Range: 2 / 50, more levels)",
 6208          "contour_level_list" : "2/3/4/5/6/8/10/12/14/16/20/50",
 6209          "contour_level_selection_type" : "level_list",
 ....
 6224          "contour_hilo" : "off",
 6225          "contour_label" : "off",
 6226:         "contour_legend_text" : "Contour shade (Range: -40/40)",
 6227          "contour_level_list" : "-40/-38/-36/-34/-32/-30/-28/-26/-24/-22/-20/-18/-16/-14/-12/-10/-8/-6/-4/-2/2/4/6/8/10/12/14/16/18/20/22/24/26/28/30/32/34/36/38/40",
 6228          "contour_level_selection_type" : "level_list",
 ....
 6243          "contour_label" : "off",
 6244          "contour_label_blanking" : "off",
 6245:         "contour_legend_text" : "Shade (Range: -100/100%)",
 6246          "contour_level_list" : "-1/-0.5/-0.3/-0.25/-0.2/-0.16/-0.12/-0.08/-0.04/-0.01/0.01/0.04/0.08/0.12/0.16/0.2/0.25/0.3/0.5/1",
 6247          "contour_level_selection_type" : "level_list",
 ....
 6258          "contour_hilo" : "off",
 6259          "contour_label" : "off",
 6260:         "contour_legend_text" : "Contour shade (Range: 0.05 / 1000)",
 6261          "contour_level_list" : "0.00005/0.0002/0.0005/0.0010/0.002/0.0050/0.01/0.02/0.05/1",
 6262          "contour_level_selection_type" : "level_list",
 ....
 6273          "contour_hilo" : "off",
 6274          "contour_label" : "off",
 6275:         "contour_legend_text" : "Contour shade (Range: 0.05 / 50 )",
 6276          "contour_level_list" : "0.05/0.1/0.2/0.3/0.5/1/2/5/10/50",
 6277          "contour_level_selection_type" : "level_list",
 ....
 6290          "contour_label_frequency" : 1,
 6291          "contour_label_quality" : "high",
 6292:         "contour_legend_text" : "Contour shade (Range: 0.5 / 1.0)",
 6293          "contour_level_list" : "0.3/0.4/0.5/0.6/0.7/0.8/0.9/1.5",
 6294          "contour_level_selection_type" : "level_list",
 ....
 6306          "contour_hilo" : "off",
 6307          "contour_label" : "off",
 6308:         "contour_legend_text" : "Contour shade (0-100%, red)",
 6309          "contour_level_list" : "5/35/65/95/120",
 6310          "contour_level_selection_type" : "level_list",
 ....
 6327          "contour_hilo" : "off",
 6328          "contour_label" : "off",
 6329:         "contour_legend_text" : "Contour shade (0-100%, light red)",
 6330          "contour_level_list" : "5/35/65/95/120",
 6331          "contour_level_selection_type" : "level_list",
 ....
 6347          "contour_hilo" : "off",
 6348          "contour_label" : "off",
 6349:         "contour_legend_text" : "Contour shade (0/1)",
 6350          "contour_level_list" : "0.5/1.5",
 6351          "contour_level_selection_type" : "level_list",
 ....
 6362          "contour_hilo" : "off",
 6363          "contour_label" : "off",
 6364:         "contour_legend_text" : "Contour shade (Range: 0 / 1000)",
 6365          "contour_level_list" : "0/40/80/120/160/200/240/280/320/360/400/440/480/520/560/600/640/800/1000",
 6366          "contour_level_selection_type" : "level_list",
 ....
 6377          "contour_hilo" : "off",
 6378          "contour_label" : "off",
 6379:         "contour_legend_text" : "Contour shade (Range: 0 / 900)",
 6380          "contour_level_list" : "0/25/50/100/150/200/300/900",
 6381          "contour_level_selection_type" : "level_list",
 ....
 6392          "contour_hilo" : "off",
 6393          "contour_label" : "off",
 6394:         "contour_legend_text" : "Shade (Range: 0 / 90000 )",
 6395          "contour_level_list" : "0/100/500/1000/5000/10000/50000/90000",
 6396          "contour_level_selection_type" : "level_list",
 ....
 6406          "contour_hilo" : "off",
 6407          "contour_label" : "off",
 6408:         "contour_legend_text" : "Contour shade (Range: 10 / 70, yellow-red)",
 6409          "contour_level_list" : "10/15/20/25/30/40/50/60/70",
 6410          "contour_level_selection_type" : "level_list",
 ....
 6425          "contour_hilo" : "off",
 6426          "contour_label" : "off",
 6427:         "contour_legend_text" : "Contour shade (Range: 15 / 60)",
 6428          "contour_level_list" : "15/20/25/30/35/40/60",
 6429          "contour_level_selection_type" : "level_list",
 ....
 6441          "contour_internal_reduction_factor" : 7,
 6442          "contour_label" : "off",
 6443:         "contour_legend_text" : "Contour shade (Range: 1 / 200)",
 6444          "contour_level_list" : "1/3/5/7/9/11/13/15/20/30/50/75/100/200",
 6445          "contour_level_selection_type" : "level_list",
 ....
 6458          "contour_hilo" : "off",
 6459          "contour_label" : "off",
 6460:         "contour_legend_text" : "Contour shade (Range: 44 / 70)",
 6461          "contour_level_list" : "0/44/45/46/47/49/51/56/70",
 6462          "contour_level_selection_type" : "level_list",
 ....
 6474          "contour_hilo" : "off",
 6475          "contour_label" : "off",
 6476:         "contour_legend_text" : "Contour shade (Range: 5 / 70, yellow-red)",
 6477          "contour_level_list" : "5/10/15/20/25/30/40/50/60/70",
 6478          "contour_level_selection_type" : "level_list",
 ....
 6492          "contour_hilo" : "off",
 6493          "contour_label" : "off",
 6494:         "contour_legend_text" : "Contour shade (0-1, intervals in octas)",
 6495          "contour_level_list" : "0.01/0.1875/0.3125/0.4375/0.5625/0.6875/0.8125/0.99/1.5",
 6496          "contour_level_selection_type" : "level_list",
 ....
 6507          "contour_hilo" : "off",
 6508          "contour_label" : "off",
 6509:         "contour_legend_text" : "Contour shade (5-100%, more levels)",
 6510          "contour_level_list" : "5/20/40/60/80/95/105",
 6511          "contour_level_selection_type" : "level_list",
 ....
 6522          "contour_hilo" : "off",
 6523          "contour_label" : "off",
 6524:         "contour_legend_text" : "Contour shade (5-100%, transparent)",
 6525          "contour_level_list" : "5/20/40/60/80/95/105",
 6526          "contour_level_selection_type" : "level_list",
 ....
 6537          "contour_hilo" : "off",
 6538          "contour_label" : "off",
 6539:         "contour_legend_text" : "Contour shade (5-100%, transparent)",
 6540          "contour_level_list" : "5/20/40/60/80/95/105",
 6541          "contour_level_selection_type" : "level_list",
 ....
 6551          "contour_description" : "Method : significance level",
 6552          "contour_label" : "off",
 6553:         "contour_legend_text" : "Significance level",
 6554          "contour_level_list" : "0/90/100",
 6555          "contour_level_selection_type" : "level_list",
 ....
 6564          "contour_description" : "Method : significance level",
 6565          "contour_label" : "off",
 6566:         "contour_legend_text" : "Significance level",
 6567          "contour_level_list" : "0/90/100",
 6568          "contour_level_selection_type" : "level_list",
 ....
 6577          "contour_description" : "Method : significance level",
 6578          "contour_label" : "off",
 6579:         "contour_legend_text" : "Significance level",
 6580          "contour_level_list" : "0/80/100",
 6581          "contour_level_selection_type" : "level_list",
 ....
 6592          "contour_hilo" : "off",
 6593          "contour_label" : "off",
 6594:         "contour_legend_text" : "Contour shade (Range: 0 / 28)",
 6595          "contour_level_list" : "0/0.5/1/2/4/6/8/10/12/14/16/18/20/28",
 6596          "contour_level_selection_type" : "level_list",
 ....
 6608          "contour_hilo" : "off",
 6609          "contour_label" : "off",
 6610:         "contour_legend_text" : "Contour shade (Range: 0 / 28)",
 6611          "contour_level_list" : "0/0.5/1/2/4/6/8/10/12/14/16/18/20/28",
 6612          "contour_level_selection_type" : "level_list",
 ....
 6624          "contour_hilo" : "off",
 6625          "contour_label" : "off",
 6626:         "contour_legend_text" : "Contour shade (Range: 0 / 28)",
 6627          "contour_level_list" : "0/0.5/1/2/4/6/8/10/12/14/16/18/20/28",
 6628          "contour_level_selection_type" : "level_list",
 ....
 6641          "contour_interval" : "4",
 6642          "contour_label" : "off",
 6643:         "contour_legend_text" : "Contour shade (Range: -2 / 36)",
 6644          "contour_level_list" : "-2/0/2/4/6/8/10/12/14/16/18/20/22/24/26/28/30/32/34/36",
 6645          "contour_level_selection_type" : "level_list",
 ....
 6658          "contour_hilo" : "off",
 6659          "contour_label" : "off",
 6660:         "contour_legend_text" : "Contour shade (Range: -5 / 45)",
 6661          "contour_level_list" : "-5/0/5/10/15/20/25/30/35/40/45",
 6662          "contour_level_selection_type" : "level_list",
 ....
 6677          "contour_hilo" : "off",
 6678          "contour_label" : "off",
 6679:         "contour_legend_text" : "Contour shade (Range: 5 to 100)",
 6680          "contour_level_list" : "5/10/15/20/25/30/35/40/45/50/55/60/65/70/100/150",
 6681          "contour_level_selection_type" : "level_list",
 ....
 6695          "contour_hilo" : "off",
 6696          "contour_label" : "off",
 6697:         "contour_legend_text" : "Contour shade (Range: 1.5 / 30)",
 6698          "contour_level_list" : "1.5/2/3/4/5/7/10/20/300",
 6699          "contour_level_selection_type" : "level_list",
 ....
 6712          "contour_internal_reduction_factor" : 7,
 6713          "contour_label" : "off",
 6714:         "contour_legend_text" : "Contour shade (LESS CONTOURS) Range: -200 / 200",
 6715          "contour_level_list" : "-200/-100/-50/-20/-15/-11/-7/-5/-3/-1/1/3/5/7/11/15/20/50/100/200",
 6716          "contour_level_selection_type" : "level_list",
 ....
 6727          "contour_hilo" : "off",
 6728          "contour_label" : "off",
 6729:         "contour_legend_text" : "Contour shade (Range: -50 / 50 )",
 6730          "contour_level_list" : "-50/-10/-5/-2/-1/-0.5/-0.3/-0.2/-0.1/-0.05/0.05/0.1/0.2/0.3/0.5/1/2/5/10/50",
 6731          "contour_level_selection_type" : "level_list",
 ....
 6743          "contour_hilo" : "off",
 6744          "contour_label" : "off",
 6745:         "contour_legend_text" : "Contour shade (Range: 80 / 500, viridis colours)",
 6746          "contour_level_list" : "80/100/120/140/160/180/200/220/250/300/400/500/9999",
 6747          "contour_level_selection_type" : "level_list",
 ....
 6761          "contour_hilo" : "off",
 6762          "contour_label" : "off",
 6763:         "contour_legend_text" : "Contour shade (Range: 80 / 500, viridis colours)",
 6764          "contour_level_list" : "80/100/120/140/160/180/200/220/250/300/400/500/9999",
 6765          "contour_level_selection_type" : "level_list",
 ....
 6779          "contour_hilo" : "off",
 6780          "contour_label" : "off",
 6781:         "contour_legend_text" : "Contour shade (Range: 10 / 100, viridis colours)",
 6782          "contour_level_list" : "10/15/20/25/30/35/40/45/50/60/80/100/999",
 6783          "contour_level_selection_type" : "level_list",
 ....
 6797          "contour_hilo" : "off",
 6798          "contour_label" : "off",
 6799:         "contour_legend_text" : "Contour shade (Range: 80 / 500, viridis colours)",
 6800          "contour_level_list" : "80/100/120/140/160/180/200/220/250/300/400/500/9999",
 6801          "contour_level_selection_type" : "level_list",
 ....
 6815          "contour_hilo" : "off",
 6816          "contour_label" : "off",
 6817:         "contour_legend_text" : "Contour shade (Range: 50 / 1000, viridis colours)",
 6818          "contour_level_list" : "50/75/100/150/200/250/300/350/400/450/500/1000/9999",
 6819          "contour_level_selection_type" : "level_list",
 ....
 6833          "contour_hilo" : "off",
 6834          "contour_label" : "off",
 6835:         "contour_legend_text" : "Contour shade (Range: 50 / 200, viridis colours)",
 6836          "contour_level_list" : "50/60/70/80/90/100/110/120/130/140/150/200/999",
 6837          "contour_level_selection_type" : "level_list",
 ....
 6851          "contour_hilo" : "off",
 6852          "contour_label" : "off",
 6853:         "contour_legend_text" : "Contour shade (Range: 1000 / 8000, viridis colours)",
 6854          "contour_level_list" : "1000/1500/2000/2500/3000/3500/4000/4500/5000/6000/7000/8000/9999",
 6855          "contour_level_selection_type" : "level_list",
 ....
 6869          "contour_hilo" : "off",
 6870          "contour_label" : "off",
 6871:         "contour_legend_text" : "Contour shade (Range: 30 / 200, viridis colours)",
 6872          "contour_level_list" : "30/40/50/60/70/80/90/100/110/120/150/200/999",
 6873          "contour_level_selection_type" : "level_list",
 ....
 6887          "contour_hilo" : "off",
 6888          "contour_label" : "off",
 6889:         "contour_legend_text" : "Contour shade (Range: 0.1 / 50, viridis colours)",
 6890          "contour_level_list" : "0.1/0.2/0.3/0.5/1/2/3/5/10/20/30/50/999",
 6891          "contour_level_selection_type" : "level_list",
 ....
 6905          "contour_hilo" : "off",
 6906          "contour_label" : "off",
 6907:         "contour_legend_text" : "Contour shade (Range: 0.1 / 50, viridis colours)",
 6908          "contour_level_list" : "0.1/0.2/0.3/0.5/1/2/3/5/10/20/30/50/999",
 6909          "contour_level_selection_type" : "level_list",
 ....
 6923          "contour_hilo" : "off",
 6924          "contour_label" : "off",
 6925:         "contour_legend_text" : "Contour shade (Range: 0.001 / 10, viridis colours)",
 6926          "contour_level_list" : "0.001/0.002/0.005/0.01/0.05/0.1/0.2/0.5/1/2/5/10/99",
 6927          "contour_level_selection_type" : "level_list",
 ....
 6941          "contour_hilo" : "off",
 6942          "contour_label" : "off",
 6943:         "contour_legend_text" : "Contour shade (Range: 0.1 / 50, viridis colours)",
 6944          "contour_level_list" : "0.1/0.2/0.3/0.5/1/2/3/5/10/20/30/50/999",
 6945          "contour_level_selection_type" : "level_list",
 ....
 6959          "contour_hilo" : "off",
 6960          "contour_label" : "off",
 6961:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, viridis colours)",
 6962          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 6963          "contour_level_selection_type" : "level_list",
 ....
 6977          "contour_hilo" : "off",
 6978          "contour_label" : "off",
 6979:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, viridis colours)",
 6980          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 6981          "contour_level_selection_type" : "level_list",
 ....
 6995          "contour_hilo" : "off",
 6996          "contour_label" : "off",
 6997:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, viridis colours)",
 6998          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 6999          "contour_level_selection_type" : "level_list",
 ....
 7013          "contour_hilo" : "off",
 7014          "contour_label" : "off",
 7015:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, viridis colours)",
 7016          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 7017          "contour_level_selection_type" : "level_list",
 ....
 7031          "contour_hilo" : "off",
 7032          "contour_label" : "off",
 7033:         "contour_legend_text" : "Contour shade (Range: 50 / 1000, viridis colours)",
 7034          "contour_level_list" : "50/75/100/150/200/250/300/350/400/450/500/1000/9999",
 7035          "contour_level_selection_type" : "level_list",
 ....
 7049          "contour_hilo" : "off",
 7050          "contour_label" : "off",
 7051:         "contour_legend_text" : "Contour shade (Range: 50 / 200, viridis colours)",
 7052          "contour_level_list" : "50/60/70/80/90/100/110/120/130/140/150/200/999",
 7053          "contour_level_selection_type" : "level_list",
 ....
 7067          "contour_hilo" : "off",
 7068          "contour_label" : "off",
 7069:         "contour_legend_text" : "Contour shade (Range: 1000 / 8000, viridis colours)",
 7070          "contour_level_list" : "1000/1500/2000/2500/3000/3500/4000/4500/5000/6000/7000/8000/9999",
 7071          "contour_level_selection_type" : "level_list",
 ....
 7085          "contour_hilo" : "off",
 7086          "contour_label" : "off",
 7087:         "contour_legend_text" : "Contour shade (Range: 30 / 200, viridis colours)",
 7088          "contour_level_list" : "30/40/50/60/70/80/90/100/110/120/150/200/999",
 7089          "contour_level_selection_type" : "level_list",
 ....
 7103          "contour_hilo" : "off",
 7104          "contour_label" : "off",
 7105:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, viridis colours)",
 7106          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 7107          "contour_level_selection_type" : "level_list",
 ....
 7121          "contour_hilo" : "off",
 7122          "contour_label" : "off",
 7123:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, viridis colours)",
 7124          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 7125          "contour_level_selection_type" : "level_list",
 ....
 7139          "contour_hilo" : "off",
 7140          "contour_label" : "off",
 7141:         "contour_legend_text" : "Contour shade (Range: 0.001 / 5, viridis colours)",
 7142          "contour_level_list" : "0.001/0.002/0.005/0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/999",
 7143          "contour_level_selection_type" : "level_list",
 ....
 7157          "contour_hilo" : "off",
 7158          "contour_label" : "off",
 7159:         "contour_legend_text" : "Contour shade (Range: 0.01 / 50, viridis colours)",
 7160          "contour_level_list" : "0.01/0.02/0.05/0.1/0.2/0.5/1/2/5/10/20/50/999",
 7161          "contour_level_selection_type" : "level_list",
 ....
 7175          "contour_internal_reduction_factor" : 4.0,
 7176          "contour_label" : "off",
 7177:         "contour_legend_text" : "Shade (Range: 0 / 100000 )",
 7178          "contour_level_list" : "0/100/200/300/400/500/1000/1500/2000/3000/5000/10000/30000/100000",
 7179          "contour_level_selection_type" : "level_list",
 ....
 7193          "contour_internal_reduction_factor" : 4.0,
 7194          "contour_label" : "off",
 7195:         "contour_legend_text" : "Shade (Range: 0 / 1500 )",
 7196          "contour_level_list" : "0/100/200/300/400/500/1000/1500",
 7197          "contour_level_selection_type" : "level_list",
 ....
 7212          "contour_label_format" : "(F4.1)",
 7213          "contour_label_quality" : "high",
 7214:         "contour_legend_text" : "Contour shade (Range: 0.05 / 5)",
 7215          "contour_level_list" : "0.02/0.04/0.08/0.16/0.3/0.6/1",
 7216          "contour_level_selection_type" : "level_list",
 ....
 7231          "contour_label_format" : "(F4.1)",
 7232          "contour_label_quality" : "high",
 7233:         "contour_legend_text" : "Contour shade (Range: 0.02 / 1)",
 7234          "contour_level_list" : "0.02/0.04/0.08/0.16/0.3/0.6/1",
 7235          "contour_level_selection_type" : "level_list",
 ....
 7249          "contour_label_format" : "(F4.1)",
 7250          "contour_label_quality" : "high",
 7251:         "contour_legend_text" : "Contour shade (Range: 0.05 / 5)",
 7252          "contour_level_list" : "0.02/0.04/0.08/0.16/0.3/0.6/1",
 7253          "contour_level_selection_type" : "level_list",
 ....
 7268          "contour_label_format" : "(F4.1)",
 7269          "contour_label_quality" : "high",
 7270:         "contour_legend_text" : "Contour shade (Range: 0.05 / 5)",
 7271          "contour_level_list" : "0.05/0.1/0.25/0.5/1/2/3/4/5",
 7272          "contour_level_selection_type" : "level_list",
 ....
 7286          "contour_label_format" : "(F4.1)",
 7287          "contour_label_quality" : "high",
 7288:         "contour_legend_text" : "Contour shade (Range: 0.05 / 5)",
 7289          "contour_level_list" : "0.05/0.1/0.25/0.5/1/2/3/4/5",
 7290          "contour_level_selection_type" : "level_list",
 ....
 7304          "contour_label_format" : "(F4.1)",
 7305          "contour_label_quality" : "high",
 7306:         "contour_legend_text" : "Contour shade (Range: 0.05 / 5)",
 7307          "contour_level_list" : "0.05/0.1/0.25/0.5/1/2/3/4/5",
 7308          "contour_level_selection_type" : "level_list",
 ....
 7323          "contour_label_format" : "(F4.1)",
 7324          "contour_label_quality" : "high",
 7325:         "contour_legend_text" : "Contour shade (Range: 0.0 / 10.0)",
 7326          "contour_level_list" : "0.05/0.5/1/2/3/4/5/6/7/8/9/10",
 7327          "contour_level_selection_type" : "level_list",
 ....
 7341          "contour_label_format" : "(F4.1)",
 7342          "contour_label_quality" : "high",
 7343:         "contour_legend_text" : "Contour shade (Range: 0.0 / 10.0)",
 7344          "contour_level_list" : "0.05/0.5/1/2/3/4/5/6/7/8/9/10",
 7345          "contour_level_selection_type" : "level_list",
 ....
 7356          "contour_hilo" : "off",
 7357          "contour_label" : "off",
 7358:         "contour_legend_text" : "Contour shade (0-1, intervals in octas)",
 7359          "contour_level_list" : "0.01/0.1875/0.3125/0.4375/0.5625/0.6875/0.8125/0.99/1.2",
 7360          "contour_level_selection_type" : "level_list",
 ....
 7371          "contour_description" : "Method : contour shade Level list : (0.20/1.) Colour : Grey",
 7372          "contour_label" : "off",
 7373:         "contour_legend_text" : "Contour shade (One level from 0.1 to 1)",
 7374          "contour_level_list" : "0.1/0.5/0.9/0.99/1.0",
 7375          "contour_level_selection_type" : "level_list",
 ....
 7386          "contour_interpolation_ceiling" : 1.0,
 7387          "contour_label" : "off",
 7388:         "contour_legend_text" : "Contour shade (Range: 0.25 to 1.0)",
 7389          "contour_level_list" : "0.25/0.50/0.75/0.99/1.1",
 7390          "contour_level_selection_type" : "level_list",
 ....
 7404          "contour_interpolation_ceiling" : 1.0,
 7405          "contour_label" : "off",
 7406:         "contour_legend_text" : "Contour shade (One level from 0.2 to 1)",
 7407          "contour_level_list" : "0.20/1.01",
 7408          "contour_level_selection_type" : "level_list",
 ....
 7477          "contour_description" : "Method : contour shade Level list : (1/5/10/20/50/100/1000) Colour : Bluish grey to cyan",
 7478          "contour_label" : "off",
 7479:         "contour_legend_text" : "Contour shade (Range: 1 to 1000)",
 7480          "contour_level_list" : "1/5/10/20/50/100/1000/5000",
 7481          "contour_level_selection_type" : "level_list",
 ....
 7492          "contour_description" : "Method : contour shade Level list : (1/5/10/20/50/100/1000) Colour : Grey to white",
 7493          "contour_label" : "off",
 7494:         "contour_legend_text" : "Contour shade (Range: 1 to 1000)",
 7495          "contour_level_list" : "1/5/10/20/50/100/1000/5000",
 7496          "contour_level_selection_type" : "level_list",
 ....
 7508          "contour_interpolation_ceiling" : 100,
 7509          "contour_label" : "off",
 7510:         "contour_legend_text" : "Contour shade (Range: 25 to 100 as percentage)",
 7511          "contour_level_list" : "25/50/75/99/110",
 7512          "contour_level_selection_type" : "level_list",
 ....
 7527          "contour_interpolation_ceiling" : 100,
 7528          "contour_label" : "off",
 7529:         "contour_legend_text" : "Contour shade (Range: 10/100 as percentage)",
 7530          "contour_level_list" : "10/25/50/75/99/110",
 7531          "contour_level_selection_type" : "level_list",
 ....
 7546          "contour_hilo" : "off",
 7547          "contour_label" : "off",
 7548:         "contour_legend_text" : "Range (0 to 30)",
 7549          "contour_level_list" : "0/1/2/4/6/8/10/12/14/16/18/20/22/24/26/28/30",
 7550          "contour_level_selection_type" : "level_list",
 ....
 7619          "contour_hilo" : "off",
 7620          "contour_label" : "off",
 7621:         "contour_legend_text" : "Contour shade (Range: -50 / 50)",
 7622          "contour_level_list" : "-50/-6/-4/-2/2/4/6/50",
 7623          "contour_level_selection_type" : "level_list",
 ....
 7633          "contour_hilo" : "off",
 7634          "contour_label" : "off",
 7635:         "contour_legend_text" : "Range (0 to 100)",
 7636          "contour_level_list" : "0/2/4/6/8/10/15/20/25/30/35/40/45/50/60/100",
 7637          "contour_level_selection_type" : "level_list",
 ....
 7650          "contour_interpolation_floor" : 0,
 7651          "contour_label" : "off",
 7652:         "contour_legend_text" : "Transparency grey for sct and bkn (or ovc) clouds",
 7653          "contour_level_list" : "0.3125/0.6875/1.5",
 7654          "contour_level_selection_type" : "level_list",
 ....
 7665          "contour_hilo" : "off",
 7666          "contour_label" : "off",
 7667:         "contour_legend_text" : "Transparency light grey for sct and bkn (or ovc) clouds",
 7668          "contour_level_list" : "0.3125/0.6875/1.2",
 7669          "contour_level_selection_type" : "level_list",
 ....
 7680          "contour_hilo" : "off",
 7681          "contour_label" : "off",
 7682:         "contour_legend_text" : "Transparency white for sct and bkn (or ovc) clouds",
 7683          "contour_level_list" : "0.3125/0.6875/1.2",
 7684          "contour_level_selection_type" : "level_list",
 ....
 7695          "contour_hilo" : "off",
 7696          "contour_label" : "off",
 7697:         "contour_legend_text" : "Transparency white for sct and bkn (or ovc) clouds",
 7698          "contour_level_list" : "0.3125/0.6875/1.2",
 7699          "contour_level_selection_type" : "level_list",
 ....
 7710          "contour_hilo" : "off",
 7711          "contour_label" : "off",
 7712:         "contour_legend_text" : "Transparency (blue)",
 7713          "contour_level_list" : "0/10/20/30/40/50/60/70/80/90/100",
 7714          "contour_level_selection_type" : "level_list",
 ....
 7725          "contour_hilo" : "off",
 7726          "contour_label" : "off",
 7727:         "contour_legend_text" : "Transparency (red)",
 7728          "contour_level_list" : "0/10/20/30/40/50/60/70/80/90/100",
 7729          "contour_level_selection_type" : "level_list",
 ....
 7740          "contour_hilo" : "off",
 7741          "contour_label" : "off",
 7742:         "contour_legend_text" : "Transparency black",
 7743          "contour_level_list" : "0/0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1",
 7744          "contour_level_selection_type" : "level_list",
 ....
 7756          "contour_hilo" : "off",
 7757          "contour_label" : "off",
 7758:         "contour_legend_text" : "Transparency dark grey",
 7759          "contour_level_list" : "0/0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1",
 7760          "contour_level_selection_type" : "level_list",
 ....
 7774          "contour_interpolation_floor" : 0,
 7775          "contour_label" : "off",
 7776:         "contour_legend_text" : "Transparency grey (rgbA)",
 7777          "contour_level_list" : "0/0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1.5",
 7778          "contour_level_selection_type" : "level_list",
 ....
 7790          "contour_hilo" : "off",
 7791          "contour_label" : "off",
 7792:         "contour_legend_text" : "Transparency light grey",
 7793          "contour_level_list" : "0/0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1.5",
 7794          "contour_level_selection_type" : "level_list",
 ....
 7806          "contour_hilo" : "off",
 7807          "contour_label" : "off",
 7808:         "contour_legend_text" : "Transparency white",
 7809          "contour_level_list" : "0/0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1.5",
 7810          "contour_level_selection_type" : "level_list",
 ....
 7821          "contour_interpolation_ceiling" : 1.0,
 7822          "contour_label" : "off",
 7823:         "contour_legend_text" : "Transparent contour shade (One level from 0.2 to 1)",
 7824          "contour_level_list" : "0.20/1.01",
 7825          "contour_level_selection_type" : "level_list",
 ....
 7838          "contour_description" : "Method : Temperature below 0 C",
 7839          "contour_label" : "off",
 7840:         "contour_legend_text" : "Transparent blue for -70 to 0 (One level)",
 7841          "contour_level_list" : "-70/0.0",
 7842          "contour_level_selection_type" : "level_list",
 ....
 7857          "contour_hilo" : "off",
 7858          "contour_label" : "off",
 7859:         "contour_legend_text" : "Grid values (above 1.0, blue)",
 7860          "contour_title" : "Grid values (above 1.0, blue)",
 7861          "input_field_suppress_below" : 1.0
 ....
 7871          "contour_hilo" : "off",
 7872          "contour_label" : "off",
 7873:         "contour_legend_text" : "Grid values (above 1.0, brown)",
 7874          "contour_title" : "Grid values (above 1.0, brown)",
 7875          "input_field_suppress_below" : 1
 ....
 7999          "contour_label_frequency" : 1,
 8000          "contour_label_quality" : "high",
 8001:         "contour_legend_text" : "Contour shade (Range: -80 / 56)",
 8002          "contour_level_list" : "-80/-70/-60/-52/-48/-44/-40/-36/-32/-28/-24/-20/-16/-12/-8/-4/0/4/8/12/16/20/24/28/32/36/40/44/48/52/56",
 8003          "contour_level_selection_type" : "level_list",
 ....
 8012          "contour_hilo" : "off",
 8013          "contour_label" : "off",
 8014:         "contour_legend_text" : "Contour shade (Range: -20 / 20)",
 8015          "contour_level_list" : "-50/-10/-6/-3/-1/0/1/3/6/10/50",
 8016          "contour_level_selection_type" : "level_list",
 ....
 8026          "contour_hilo" : "off",
 8027          "contour_label" : "off",
 8028:         "contour_legend_text" : "Contour shade (Range: 10 / 100, green)",
 8029          "contour_level_list" : "10/15/20/25/30/40/50/60/80/100",
 8030          "contour_level_selection_type" : "list",
 ....
 8043          "contour_hilo" : "off",
 8044          "contour_label" : "off",
 8045:         "contour_legend_text" : "Contour shade (0-100%, every 10%)",
 8046          "contour_level_list" : "5/10/20/30/40/50/60/70/80/90/110",
 8047          "contour_level_selection_type" : "level_list",
 ....
 8063          "contour_label_frequency" : 4,
 8064          "contour_label_height" : 0.4,
 8065:         "contour_legend_text" : "Interval 5, thickness 2",
 8066          "contour_level_selection_type" : "interval",
 8067          "contour_line_colour" : "charcoal",
 ....
 8079          "contour_label_frequency" : 2,
 8080          "contour_label_height" : 0.4,
 8081:         "contour_legend_text" : "Interval 5, thickness 2",
 8082          "contour_level_selection_type" : "interval",
 8083          "contour_line_colour" : "rgb(105,0,128)",
 ....
 8091          "contour_hilo" : "off",
 8092          "contour_label" : "off",
 8093:         "contour_legend_text" : "Contour shade (Range: -20 / 20)",
 8094          "contour_level_list" : "-100/-40/-20/-10/-5/0/5/10/20/40/100",
 8095          "contour_level_selection_type" : "level_list",
 ....
 8109          "contour_label_frequency" : 2,
 8110          "contour_label_height" : 0.4,
 8111:         "contour_legend_text" : "Interval 5, thickness 2",
 8112          "contour_level_selection_type" : "interval",
 8113          "contour_line_colour" : "black",
 ....
 8133          "contour_label_format" : "(F4.1)",
 8134          "contour_label_quality" : "high",
 8135:         "contour_legend_text" : "Contour shade (Range: 0.0 / 18.5)",
 8136          "contour_level_list" : "0.0/3.5/5.0/6.5/8.0/9.5/11.0/12.5/14.0/15.5/17.0/18.5",
 8137          "contour_level_selection_type" : "level_list",
 ....
 8150          "contour_hilo" : "off",
 8151          "contour_label" : "off",
 8152:         "contour_legend_text" : "Contour shade (Range: -20 / 20)",
 8153          "contour_level_list" : "-1000/-90/-60/-30/-10/0/10/30/60/90/1000",
 8154          "contour_level_selection_type" : "level_list",
 ....
 8165          "contour_hilo" : "off",
 8166          "contour_label" : "off",
 8167:         "contour_legend_text" : "Contour shade (Range: 0.5 / 250, with isolines)",
 8168          "contour_level_list" : "0.5/2/4/10/25/50/100/250",
 8169          "contour_level_selection_type" : "level_list",
 ....
 8181          "contour_hilo" : "off",
 8182          "contour_label" : "off",
 8183:         "contour_legend_text" : "Contour shade (5-100%, transparent)",
 8184          "contour_level_list" : "5/20/40/60/80/95/105",
 8185          "contour_level_selection_type" : "level_list",
 ....
 8206          "contour_hilo" : "off",
 8207          "contour_label" : "off",
 8208:         "contour_legend_text" : "Mask",
 8209          "contour_level_list" : "0/1",
 8210          "contour_level_selection_type" : "level_list",
 ....
 8221          "contour_hilo" : "off",
 8222          "contour_label" : "off",
 8223:         "contour_legend_text" : "Contour shade (Range: 0 / 28)",
 8224          "contour_level_list" : "0/0.0005/0.001/0.002/0.004/0.006/0.008/0.010/0.012/0.014/0.016/0.018/0.020/0.028",
 8225          "contour_level_selection_type" : "level_list",
 ....
 8237          "contour_hilo" : "off",
 8238          "contour_label" : "off",
 8239:         "contour_legend_text" : "Contour shade (Range: 0 / 28)",
 8240          "contour_level_list" : "0/0.0005/0.001/0.002/0.004/0.006/0.008/0.010/0.012/0.014/0.016/0.018/0.020/0.028",
 8241          "contour_level_selection_type" : "level_list",
 ....
 8253          "contour_hilo" : "off",
 8254          "contour_label" : "off",
 8255:         "contour_legend_text" : "Contour shade (Range: 0 / 28)",
 8256          "contour_level_list" : "0/0.0005/0.001/0.002/0.004/0.006/0.008/0.010/0.012/0.014/0.016/0.018/0.020/0.028",
 8257          "contour_level_selection_type" : "level_list",
 ....
 8268          "contour_hilo" : "off",
 8269          "contour_label" : "off",
 8270:         "contour_legend_text" : "Range (0 to 30)",
 8271          "contour_level_list" : "0/0.001/0.002/0.004/0.006/0.008/0.010/0.012/0.014/0.016/0.018/0.020/0.022/0.024/0.026/0.028/0.030",
 8272          "contour_level_selection_type" : "level_list",
 ....
 8283          "contour_internal_reduction_factor" : 4,
 8284          "contour_label" : "off",
 8285:         "contour_legend_text" : "Contour shade (Range: 0.000008/0.0042, with isolines)",
 8286          "contour_level_list" : "0.000008/0.00003/0.000067/0.00017/0.00042/0.00083/0.0017/0.0042",
 8287          "contour_level_selection_type" : "level_list",
 ....
 8300          "contour_internal_reduction_factor" : 4,
 8301          "contour_label" : "off",
 8302:         "contour_legend_text" : "Contour shade (Range: 0/500, no isolines)",
 8303          "contour_level_list" : "0/10/20/30/40/50/60/70/80/90/100/110/120/130/140/150/160/170/180/190/200/210/220/230/240/250/260/270/280/290/300/310/320/330/340/350/360/370/380/390/400/410/420/430/440/450/460/470/480/490/500",
 8304          "contour_level_selection_type" : "level_list",
 ....
 8318          "contour_interpolation_floor" : 0,
 8319          "contour_label" : "off",
 8320:         "contour_legend_text" : "Transparency grey (rgbA)",
 8321          "contour_level_list" : "0/10/20/30/40/50/60/70/80/90/150",
 8322          "contour_level_selection_type" : "level_list",
 ....
 8330      "sh_all_f0t20lst_grid": {
 8331          "contour_description" : "Method : contour shade Level list : (0/0.5/1/2/3/4/6/8/10/12/14/20) Colour : All colours Used for Altimeter wave height",
 8332:         "contour_legend_text": "Contour shade (Range: 0.0 / 20.0) - grid shading", 
 8333          "contour_level_list": "0/0.5/1/2/3/4/6/8/10/12/14/20", 
 8334          "contour_level_selection_type": "level_list",
 ....
 8345      "sh_all_fM01t0lst_grid": {
 8346          "contour_description" : "Method : contour shade Level list : (-0.1/-0.09/-0.08/-0.07/-0.06/-0.05/-0.04/-0.03/-0.02/-0.01/0.0) Colour : All colours Used for Altimeter range relative correction",
 8347:         "contour_legend_text": "Contour shade (Range: -0.1 / 0.0) - grid shading", 
 8348          "contour_level_list": "-0.1/-0.09/-0.08/-0.07/-0.06/-0.05/-0.04/-0.03/-0.02/-0.01/0.0", 
 8349          "contour_level_selection_type": "level_list",
 ....
 8359          "contour_description" : "Method : contour shade Level list : (-1.6/-1.4/-1.2/-1.0/-0.8/-0.6/-0.4/-0.2/0.0/0.2/0.4/0.6/0.8/1.0/1.2/1.4/1.6) Colour : All colours Used for Angle of sub-gridscale orography",
 8360          "contour" : "off",
 8361:         "contour_legend_text" : "Contour shade (Range: -1.6 / 1.6)",
 8362          "contour_level_list" : "-1.6/-1.4/-1.2/-1.0/-0.8/-0.6/-0.4/-0.2/0.0/0.2/0.4/0.6/0.8/1.0/1.2/1.4/1.6",
 8363          "contour_level_selection_type" : "level_list",
 ....
 8372          "contour_description" : "Method : contour shade Level list : (0.0/0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1.0) Colour : Yellow to red Used for Anisotropy of sub-gridscale orography",
 8373          "contour" : "off",
 8374:         "contour_legend_text" : "Contour shade (Range: 0.0 / 1.0)",
 8375          "contour_level_list" : "0.0/0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1.0",
 8376          "contour_level_selection_type" : "level_list",
 ....
 8386          "contour_description" : "Method : contour shade Level list from -10 to 10",
 8387          "contour_label" : "off",
 8388:         "contour_legend_text" : "Contour shade (Range: -10 / 10)",
 8389          "contour_level_list" : "-10/-1/-0.9/-0.8/-0.7/-0.6/-0.5/-0.4/-0.3/-0.2/-0.1/0/0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1/10",
 8390          "contour_level_selection_type" : "level_list",
 ....
 8399          "contour_description" : "Method : contour shade Level list from 0 to 2 milion",
 8400          "contour_label" : "off",
 8401:         "contour_legend_text" : "Contour shade (Range: 0 / 2 milion",
 8402          "contour_level_list" : "0/1000/2000/3000/4000/5000/6000/7000/8000/9000/10000/11000/12000/13000/14000/15000/16000/17000/18000/19000/20000/21000/22000/23000/24000/25000/26000/27000/28000/29000/30000/35000/40000/45000/50000/100000/500000/2000000",
 8403          "contour_level_selection_type" : "level_list",
 ....
 8415          "contour_shade_max_level" : 6000,
 8416          "contour_label" : "off",
 8417:         "contour_legend_text" : "Contour shade (Range: 0 / 3000)",
 8418          "contour_level_selection_type" : "interval",
 8419          "contour_shade" : "on",
 ....
 8427          "contour_description" : "Method : contour shade Level list from 0 to 0.1",
 8428          "contour_label" : "off",
 8429:         "contour_legend_text" : "Contour shade (Range: 0 / 0.1)",
 8430          "contour_level_list" : "0/0.002/0.004/0.006/0.008/0.01/0.012/0.014/0.016/0.018/0.02/0.022/0.024/0.026/0.028/0.03/0.1",
 8431          "contour_level_selection_type" : "level_list",
 ....
 8440          "contour_description" : "Method : contour shade Level list from 0 to 4 Milion",
 8441          "contour_label" : "off",
 8442:         "contour_legend_text" : "Contour shade (Range: 0 / 4000000)",
 8443          "contour_level_selection_type" : "interval",
 8444          "contour_interval" : "100000",
 ....
 8455          "contour_description" : "Method : contour shade Level list from 0 to 12 Milion",
 8456          "contour_label" : "off",
 8457:         "contour_legend_text" : "Contour shade (Range: 0 / 12000000)",
 8458          "contour_level_selection_type" : "interval",
 8459          "contour_interval" : "300000",
 ....
 8470          "contour_description" : "Method : contour shade Level list from 0 to 250000",
 8471          "contour_label" : "off",
 8472:         "contour_legend_text" : "Contour shade (Range: 0 / 250000)",
 8473          "contour_level_selection_type" : "interval",
 8474          "contour_interval" : "10000",
 ....
 8485          "contour_description" : "Method : contour shade Level list from 0 to 5",
 8486          "contour_label" : "off",
 8487:         "contour_legend_text" : "Contour shade (Range: 0 / 5)",
 8488          "contour_level_selection_type" : "interval",
 8489          "contour_interval" : "1",
 ....
 8500          "contour_description" : "Method : contour shade Level list from 0 to 1",
 8501          "contour_label" : "off",
 8502:         "contour_legend_text" : "Contour shade (Range: 0 / 1)",
 8503          "contour_level_list" : "0/0.01/0.02/0.03/0.04/0.05/0.06/0.07/0.08/0.09/0.1/0.2/0.4/0.6/0.8/1.",
 8504          "contour_level_selection_type" : "level_list",
 ....
 8513          "contour_description" : "Method : contour shade Level list from 0 to 1",
 8514          "contour_label" : "off",
 8515:         "contour_legend_text" : "Contour shade (Range: 0 / 1)",
 8516          "contour_level_list" : "0/0.02/0.04/0.06/0.08/0.1/0.12/0.14/0.16/0.18/0.2/0.4/0.6/0.8/1./5.",
 8517          "contour_level_selection_type" : "level_list",
 ....
 8530          "contour_label_frequency" : 2,
 8531          "contour_label_height" : 0.4,
 8532:         "contour_legend_text" : "Contour level list from 500 to 1050, thickness 2",
 8533          "contour_level_list" : "500/600/700/800/900/950/950/960/970/980/990/1000/1010/1015/1020/1025/1030/1035/1040/1045/1050",
 8534          "contour_level_selection_type" : "level_list",
 ....
 8542          "contour_hilo" : "off",
 8543          "contour_label" : "off",
 8544:         "contour_legend_text" : "Contour shade (Range: 0.1 / 50)",
 8545          "contour_level_list" : "0.1/0.2/0.3/0.4/0.5/0.6/1/2/4/8/12/18/25/50",
 8546          "contour_level_selection_type" : "level_list",
 ....
 8558          "contour_hilo" : "off",
 8559          "contour_label" : "off",
 8560:         "contour_legend_text" : "Contour shade (Range: 1 / 20)",
 8561          "contour_level_list" : "1/2/3/4/5/6/7/8/9/10/20",
 8562          "contour_level_selection_type" : "level_list",
 ....
 8574          "contour_hilo" : "off",
 8575          "contour_label" : "off",
 8576:         "contour_legend_text" : "Contour shade (Range: -36 / -1.6)",
 8577          "contour_level_list" : "-50/-36/-34/-32/-30/-28/-26/-24/-22/-20/-18/-16/-14/-12/-10/-8/-6/-4/-2/-1.6",
 8578          "contour_level_selection_type" : "level_list",
 ....
 8589          "contour_hilo" : "off",
 8590          "contour_label" : "off",
 8591:         "contour_legend_text" : "Contour shade (Range: -24 / -1.6)",
 8592          "contour_level_list" : "-50/-24/-22/-20/-18/-16/-14/-12/-10/-8/-6/-4/-2/-1.6",
 8593          "contour_level_selection_type" : "level_list",
 ....
 8604          "contour_hilo" : "off",
 8605          "contour_label" : "off",
 8606:         "contour_legend_text" : "Contour shade (Range: -14 / -1.6)",
 8607          "contour_level_list" : "-50/-14/-13/-12/-11/-10/-9/-8/-7/-6/-5/-4/-3/-2/-1.6",
 8608          "contour_level_selection_type" : "level_list",
 ....
 8620          "contour_interval" : "4",
 8621          "contour_label" : "off",
 8622:         "contour_legend_text" : "Contour shade (Range: -72 / 72)",
 8623          "contour_level_selection_type" : "interval",
 8624          "contour_shade" : "on",
 ....
 8636          "contour_hilo" : "off",
 8637          "contour_label" : "off",
 8638:         "contour_legend_text" : "Contour shade (Range: 0.5 / 10), used for wind speed spread",
 8639          "contour_level_list" : "0.5/1/1.5/2/2.5/3/3.5/4/4.5/5/10",
 8640          "contour_level_selection_type" : "level_list",
 ....
 8653          "contour_interval" : "4",
 8654          "contour_label" : "off",
 8655:         "contour_legend_text" : "Contour shade (Range: 0 / 40)",
 8656          "contour_level_selection_type" : "interval",
 8657          "contour_shade" : "on",
 ....
 8669          "contour_hilo" : "off",
 8670          "contour_label" : "off",
 8671:         "contour_legend_text" : "Contour shade (Range: 0.1 / 1), used for lake cover",
 8672          "contour_level_list" : "0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1",
 8673          "contour_level_selection_type" : "level_list",
 ....
 8684          "contour_hilo" : "off",
 8685          "contour_label" : "off",
 8686:         "contour_legend_text" : "Contour shade (Range: 0.5 / 9000), used for lake depth",
 8687          "contour_level_list" : "0.5/100/200/300/400/500/600/700/800/900/1000/9000",
 8688          "contour_level_selection_type" : "level_list",
 ....
 8698          "contour_hilo" : "off",
 8699          "contour_label" : "off",
 8700:         "contour_legend_text" : "Contour shade (Range: 0.5 / 9000), used for lake depth",
 8701          "contour_level_list" : "1/500/1000/1500/2000/2500/3000/3500/4000/4500/5000/5500/6000/6500/7000/7500/8000/9000",
 8702          "contour_level_selection_type" : "level_list",
 ....
 8712          "contour_hilo" : "off",
 8713          "contour_label" : "off",
 8714:         "contour_legend_text" : "Contour shade (Range: 0.5 / 3), used for lake ice depth",
 8715          "contour_level_list" : "0.3/0.6/0.9/1.2/1.5/1.8/2.1/2.4/2.7/3",
 8716          "contour_level_selection_type" : "level_list",
 ....
 8727          "contour_interval" : "4",
 8728          "contour_label" : "off",
 8729:         "contour_legend_text" : "Contour shade (Range: -68 / 0)",
 8730          "contour_level_selection_type" : "interval",
 8731          "contour_shade_min_level" : "-68.0",
 ....
 8744          "contour_hilo" : "off",
 8745          "contour_label" : "off",
 8746:         "contour_legend_text" : "Contour shade (Range: 0 / 50), used for lake mix-layer depth",
 8747          "contour_level_list" : "3/6/9/12/15/18/21/24/27/30/40/50",
 8748          "contour_level_selection_type" : "level_list",
 ....
 8760          "contour_interval" : "3",
 8761          "contour_label" : "off",
 8762:         "contour_legend_text" : "Contour shade (Range: 0 / 36)",
 8763          "contour_level_selection_type" : "interval",
 8764          "contour_shade_min_level" : "0.0",
 ....
 8780          "contour_interpolation_ceiling" : "0.8",
 8781          "contour_label" : "off",
 8782:         "contour_legend_text" : "Contour shade (Range: 0.6 / 0.8), used for Lake shape factor",
 8783          "contour_level_selection_type" : "interval",
 8784          "contour_shade" : "on",
 ....
 8797          "contour_shade_max_level" : "0.9",
 8798          "contour_label" : "off",
 8799:         "contour_legend_text" : "Contour shade (Range: 0 / 1), used for Evaporation",
 8800          "contour_level_selection_type" : "interval",
 8801          "contour_shade" : "on",
 ....
 8813          "contour_level_selection_type" : "level_list",
 8814          "contour_label" : "off",
 8815:         "contour_legend_text" : "Contour shade (Level list : -1/-0.01/-0.005/0/0.005/0.01/1) Used for Snow evaporation",
 8816          "contour_shade" : "on",
 8817          "contour_shade_colour_list" : "#ceecc8/#85cdc2/#47a9ce/#2886ba/#0b61a4/#084081",
 ....
 8826          "contour_hilo" : "off",
 8827          "contour_label" : "off",
 8828:         "contour_legend_text" : "Contour shade (Range: 0.5 / 20), used for Runoff",
 8829          "contour_level_list" : "0.5/1/1.5/2/2.5/3/3.5/4/4.5/5/20",
 8830          "contour_level_selection_type" : "level_list",
 ....
 8840          "contour_hilo" : "off",
 8841          "contour_label" : "off",
 8842:         "contour_legend_text" : "Contour shade (Range: 0.1 / 1)",
 8843          "contour_level_list" : "0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1",
 8844          "contour_level_selection_type" : "level_list",
 ....
 8855          "contour_hilo" : "off",
 8856          "contour_label" : "off",
 8857:         "contour_legend_text" : "Contour shade (Range: 1000 / 12000)",
 8858          "contour_level_list" : "1000/2000/3000/4000/5000/6000/7000/8000/9000/10000/12000",
 8859          "contour_level_selection_type" : "level_list",
 ....
 8870          "contour_internal_reduction_factor" : 4,
 8871          "contour_label" : "off",
 8872:         "contour_legend_text" : "Contour shade (Range: 0.05 / 25, with isolines)",
 8873          "contour_level_list" : "0.05/0.2/0.4/1/2.5/5.0/10/25",
 8874          "contour_level_selection_type" : "level_list",
 ....
 8885          "contour_highlight" : "off",
 8886          "contour_label" : "off",
 8887:         "contour_legend_text" : "Contour shade (Range: 0/1)",
 8888          "contour_level_list" : "0/0.08/0.12/0.18/0.24/0.30/0.40/0.50/0.65/0.80/1.0",
 8889          "contour_level_selection_type" : "level_list",
 ....
 8907          "contour_internal_reduction_factor" : 4,
 8908          "contour_label" : "off",
 8909:         "contour_legend_text" : "Contour shade (Level list : (100./120/140/160/180/200/220/240/260/280/300/320/340/360/480)",
 8910          "contour_level_list" : "100./120/140/160/180/200/220/240/260/280/300/320/340/360/480",
 8911          "contour_level_selection_type" : "level_list",
 ....
 8923          "contour_internal_reduction_factor" : 4,
 8924          "contour_label" : "off",
 8925:         "contour_legend_text" : "Contour shade (Level list : (0./0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.8/0.9/1/10)",
 8926          "contour_level_list" : "0./0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.8/0.9/1/10.1",
 8927          "contour_level_selection_type" : "level_list",
 ....
 8938          "contour_internal_reduction_factor" : 4,
 8939          "contour_label" : "off",
 8940:         "contour_legend_text" : "Contour shade (Level list : (0./0.05/0.1/0.15/0.2/0.25/0.3/0.35/0.4)",
 8941          "contour_level_list" : "0./0.05/0.1/0.15/0.2/0.25/0.3/0.35/0.4",
 8942          "contour_level_selection_type" : "level_list",
 ....
 8952          "contour_hilo" : "off",
 8953          "contour_label" : "off",
 8954:         "contour_legend_text" : "Marker in all colours (Coarse range: 0 / 7) used for Soil type",
 8955          "contour_title" : "Marker in all colours (Coarse range: 0 / 7) used for Soil type",
 8956          "contour_level_list" : "0/1/2/3/4/5/6/7",
 ....
 8966          "contour_hilo" : "off",
 8967          "contour_label" : "off",
 8968:         "contour_legend_text" : "Marker in all colours (Coarse range: 0 / 7) used for Soil type",
 8969          "contour_title" : "Marker in all colours (Coarse range: 0 / 7) used for Soil type",
 8970          "contour_level_list" : "0/1/2/3/4/5/6/7",
 ....
 8981          "contour_internal_reduction_factor" : 4,
 8982          "contour_label" : "off",
 8983:         "contour_legend_text" : "Contour shade (Level list : (0./0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1)",
 8984          "contour_level_list" : "0./0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1",
 8985          "contour_level_selection_type" : "level_list",
 ....
 8996          "contour_internal_reduction_factor" : 4,
 8997          "contour_label" : "off",
 8998:         "contour_legend_text" : "Contour shade (Level list : (0./0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1)",
 8999          "contour_level_list" : "0./0.1/0.2/0.3/0.4/0.5/0.6/0.7/0.8/0.9/1",
 9000          "contour_level_selection_type" : "level_list",
 ....
 9011          "contour_internal_reduction_factor" : 4,
 9012          "contour_label" : "off",
 9013:         "contour_legend_text" : "Contour shade (Level list : (0./1/2/3/4/5/6/7)",
 9014          "contour_level_list" : "0.1/1/2/3/4/5/6/7",
 9015          "contour_level_selection_type" : "level_list",
 ....
 9026          "contour_internal_reduction_factor" : 4,
 9027          "contour_label" : "off",
 9028:         "contour_legend_text" : "Contour shade (Level list : (0.1/1/2/3/4/5)",
 9029          "contour_level_list" : "0.1/1/2/3/4/5",
 9030          "contour_level_selection_type" : "level_list",
 ....
 9040          "contour_hilo" : "off",
 9041          "contour_label" : "off",
 9042:         "contour_legend_text" : "Marker in green (Coarse range: 0 / 19) used for Type of high vegetation",
 9043          "contour_title" : "Marker in all colours (Coarse range: 0 / 19) used for Type of high vegetation",
 9044          "contour_level_list" : "3/4/5/6/18/19/20",
 ....
 9054          "contour_hilo" : "off",
 9055          "contour_label" : "off",
 9056:         "contour_legend_text" : "Marker in green (Coarse range: 0 / 19) used for Type of high vegetation",
 9057          "contour_title" : "Marker in all colours (Coarse range: 0 / 19) used for Type of high vegetation",
 9058          "contour_level_list" : "1/2/7/9/10/11/13/16/17/20/21",
 ....
 9069          "contour_interval" : 4,
 9070          "contour_label" : "off",
 9071:         "contour_legend_text" : "Contour shade (Range: -96 / -8)",
 9072          "contour_level_selection_type" : "interval",
 9073          "contour_shade" : "on",
 ....
 9085          "contour_interval" : 4,
 9086          "contour_label" : "off",
 9087:         "contour_legend_text" : "Contour shade (Range: -80 / 16)",
 9088          "contour_level_selection_type" : "interval",
 9089          "contour_shade" : "on",
 ....
 9104          "contour_label_frequency" : 2,
 9105          "contour_label_height" : 0.4,
 9106:         "contour_legend_text" : "Interval 10, thickness 2",
 9107          "contour_level_selection_type" : "interval",
 9108          "contour_line_colour" : "black",
 ....
 9120          "contour_label_frequency" : 2,
 9121          "contour_label_height" : 0.4,
 9122:         "contour_legend_text" : "Interval 8, thickness 2",
 9123          "contour_level_selection_type" : "interval",
 9124          "contour_line_colour" : "black",

506 matches in 1 file


Searching 421 files for "contour_legend_text"

/Users/sylvie/git/magics/src/params/Contour.xml:
   19  				<release>2.12		</release>
   20          		<set name="contour_special_legend" value="on">		</set>
   21:         		<set name="contour_legend_text" value="on">		</set>
   22    	</parameter>
   23  

/Users/sylvie/git/magics/src/params/IsoPlot.xml:
   31      	</parameter>
   32  
   33:     	<parameter from="string" name="contour_legend_text" visible="no" default=" " member="legend_text" to="string" documented="off">
   34          		<documentation>Text to be used in legend		</documentation>
   35          		<release>2.10		</release>

2 matches across 2 files


Searching 555 files for "legend_text"

/Users/sylvie/git/magics/src/common/MagicsCalls.cc:
  806  static DeviceWidth device_width;
  807  static TextQuality text_quality("text");
  808: static TextQuality legend_text_quality("legend_text");
  809  static TextQuality axis_tick_label_quality("axis_tick_label");
  810  static TextQuality axis_Title_quality("axis_title");
  ...
  816  static TextFontHeight text_reference_character_height("text_reference_character_height", "text_font_size");
  817  static TextFontHeight text_height("text_font_size", "text_font_size");
  818: static TextFontHeight legend_text_font_size("legend_text_font_size", "legend_text_font_size");
  819  
  820  
  ...
  840  static SimpleTranslator netcdf_x_position_variable("netcdf_x_position_variable", "netcdf_x_variable");
  841  static SimpleTranslator netcdf_y_position_variable("netcdf_y_position_variable", "netcdf_y_variable");
  842: static SimpleTranslator legend_text_height("legend_text_height", "legend_text_font_size");
  843  static SimpleTranslator graph_shade_colour("graph_shade_colour", "graph_bar_colour", true);
  844  static SimpleTranslator graph_bar_colour("graph_bar_colour", "graph_shade_colour", true);

/Users/sylvie/git/magics/src/libMagWrapper/MagPlus.cc:
 1673      MagLog::dev() << "<--add legend" << endl;
 1674      string mode = get(in, "LEGEND_BOX_MODE", "automatic");
 1675:     replace_default(in, "LEGEND_TEXT_COLOUR", "navy");
 1676      replace_default(in, "LEGEND_DISPLAY_TYPE", "continuous");
 1677:     replace_default(in, "LEGEND_TEXT_FONT_SIZE", "0.2");
 1678      LegendVisitor* legend = nullptr;
 1679      if (magCompare(mode, "positional")) {

/Users/sylvie/git/magics/src/visualisers/ArrowPlotting.cc:
  184      arrow->setHeadRatio(this->ratio_);
  185  
  186:     if (legend_text_.empty() || legend_text_ == "vector") {
  187          ostringstream text;
  188          text << speed << " " << legend_unit_;
  189:         legend_text_ = text.str();
  190      }
  191  
  192:     LegendEntry* entry = new ArrowEntry(legend_text_, arrow);
  193  
  194      legend.add(entry);

/Users/sylvie/git/magics/src/visualisers/Bar.cc:
  342          curve->setFilled(true);
  343          shade_->legend(*curve);
  344:         LegendEntry* entry = new BoxEntry(legend_text_, curve);
  345:         entry->userText(legend_text_, "user");
  346          legend.add(entry);
  347      }
  ...
  353          curve->setFilled(true);
  354          shade_->legend(*curve);
  355:         LegendEntry* entry = new LineEntry(legend_text_, curve);
  356:         entry->userText(legend_text_, "user");
  357          legend.add(entry);
  358      }
  ...
  435  
  436  
  437:     LegendEntry* entry = new FlagEntry(legend_text_, flags);
  438      legend.add(entry);
  439  }
  ...
  513  
  514  
  515:     LegendEntry* entry = new ArrowEntry(legend_text_, arrow);
  516  
  517      legend.add(entry);

/Users/sylvie/git/magics/src/visualisers/Contour.cc:
   88  
   89              set(attributes);
   90:             auto text = attributes.find("contour_legend_text");
   91              if (text != attributes.end())
   92:                 ParameterManager::set("contour_legend_text", text->second);
   93          }
   94          else {
   ..
  122                      cout << s->first << "-->" << s->second << endl;
  123                  */
  124:                 auto text = attributes.find("contour_legend_text");
  125                  if (text != attributes.end())
  126:                     ParameterManager::set("contour_legend_text", text->second);
  127              }
  128          }

/Users/sylvie/git/magics/src/visualisers/Curve.cc:
  150      data.customisedPoints(transformation, needs, points, true);
  151  
  152:     if (legend_text_ == "?")
  153:         legend_text_ = data.legend();
  154  
  155      magics::Polyline* curve_ = newCurve(task);
  ...
  265      data.customisedPoints(transformation, needs, points, true);
  266  
  267:     if (legend_text_ == "?")
  268:         legend_text_ = data.legend();
  269  
  270  
  ...
  348      if (!legend_)
  349          return;
  350:     CurveEntry* entry = new CurveEntry(legend_text_, *this);
  351:     entry->userText(legend_text_, "user");
  352      legend.add(entry);
  353  }

/Users/sylvie/git/magics/src/visualisers/FlagPlotting.cc:
  121      ostringstream text;
  122  
  123:     if (legend_text_ == "vector")
  124:         legend_text_ = " ";
  125:     LegendEntry* entry = new FlagEntry(legend_text_, flags);
  126  
  127      legend.add(entry);

/Users/sylvie/git/magics/src/visualisers/GraphPlotting.cc:
   25  
   26  GraphPlotting::GraphPlotting() {
   27:     type_->legend(legend_, legend_text_);
   28  }
   29  

/Users/sylvie/git/magics/src/visualisers/IsoPlot.cc:
 1475  
 1476              highlight_->visit(line2);
 1477:             legend.add(new DoubleLineEntry(legend_text_, line1, line2));
 1478              // Should do something for the wrep legend!!!
 1479              if (legend.size() < 3 && legend.wrep_) {

/Users/sylvie/git/magics/src/visualisers/SymbolMode.cc:
  241      if (legend_height_ != -1)
  242          symbol->setHeight(legend_height_);
  243:     legend.add(new SimpleSymbolEntry(legend_text_, symbol));
  244  }
  245  void SymbolIndividualMode::adjust(double, double, bool, const Transformation&, double) {}
  ...
  249      if (legend_height_ != -1)
  250          symbol->setHeight(legend_height_);
  251:     SimpleSymbolEntry* entry = new SimpleSymbolEntry(legend_text_, symbol);
  252:     entry->userText(legend_text_, "user");
  253      legend.add(entry);
  254  }

/Users/sylvie/build/magics/src/params/ArrowPlottingAttributes.cc:
   37  	unit_system_(ParameterManager::getString("wind_arrow_unit_system")),
   38  	unit_velocity_(ParameterManager::getDouble("wind_arrow_unit_velocity")),
   39: 	legend_unit_(ParameterManager::getString("wind_arrow_legend_text")),
   40  	fixed_velocity_(ParameterManager::getDouble("wind_arrow_fixed_velocity"))
   41  	,
   ..
   71  	setAttribute(prefix, "wind_arrow_unit_system", unit_system_, params);
   72  	setAttribute(prefix, "wind_arrow_unit_velocity", unit_velocity_, params);
   73: 	setAttribute(prefix, "wind_arrow_legend_text", legend_unit_, params);
   74  	setAttribute(prefix, "wind_arrow_fixed_velocity", fixed_velocity_, params);
   75  	
   ..
  173  	out << ", \"wind_arrow_unit_velocity\":";
  174  	niceprint(out,unit_velocity_);
  175: 	out << ", \"wind_arrow_legend_text\":";
  176  	niceprint(out,legend_unit_);
  177  	out << ", \"wind_arrow_fixed_velocity\":";
  ...
  197  static MagicsParameter<string> wind_arrow_unit_system("wind_arrow_unit_system", "paper", "");
  198  static MagicsParameter<double> wind_arrow_unit_velocity("wind_arrow_unit_velocity", 25.0, "");
  199: static MagicsParameter<string> wind_arrow_legend_text("wind_arrow_legend_text", "m/s", "");
  200  static MagicsParameter<double> wind_arrow_fixed_velocity("wind_arrow_fixed_velocity", 0.0, "");
  201  static MagicsParameter<string> wind_arrow_calm_indicator("wind_arrow_calm_indicator", "off", ""); 

/Users/sylvie/build/magics/src/params/EpsGraphAttributes.cc:
   47  	deterministic_(ParameterManager::getBool("eps_deterministic")),
   48  	deterministic_thickness_(ParameterManager::getInt("eps_deterministic_line_thickness")),
   49: 	deterministic_legend_(ParameterManager::getString("eps_deterministic_legend_text")),
   50  	control_(ParameterManager::getBool("eps_control")),
   51  	control_thickness_(ParameterManager::getInt("eps_control_line_thickness")),
   52: 	control_legend_(ParameterManager::getString("eps_control_legend_text")),
   53  	legend_(ParameterManager::getBool("legend")),
   54  	grey_legend_(ParameterManager::getBool("eps_grey_legend"))
   ..
  101  	setAttribute(prefix, "eps_deterministic", deterministic_, params);
  102  	setAttribute(prefix, "eps_deterministic_line_thickness", deterministic_thickness_, params);
  103: 	setAttribute(prefix, "eps_deterministic_legend_text", deterministic_legend_, params);
  104  	setAttribute(prefix, "eps_control", control_, params);
  105  	setAttribute(prefix, "eps_control_line_thickness", control_thickness_, params);
  106: 	setAttribute(prefix, "eps_control_legend_text", control_legend_, params);
  107  	setAttribute(prefix, "legend", legend_, params);
  108  	setAttribute(prefix, "eps_grey_legend", grey_legend_, params);
  ...
  272  	out << ", \"eps_deterministic_line_thickness\":";
  273  	niceprint(out,deterministic_thickness_);
  274: 	out << ", \"eps_deterministic_legend_text\":";
  275  	niceprint(out,deterministic_legend_);
  276  	out << ", \"eps_control\":";
  ...
  278  	out << ", \"eps_control_line_thickness\":";
  279  	niceprint(out,control_thickness_);
  280: 	out << ", \"eps_control_legend_text\":";
  281  	niceprint(out,control_legend_);
  282  	out << ", \"legend\":";
  ...
  328  static MagicsParameter<string> eps_deterministic("eps_deterministic", "on", "");
  329  static MagicsParameter<int> eps_deterministic_line_thickness("eps_deterministic_line_thickness", 2, "");
  330: static MagicsParameter<string> eps_deterministic_legend_text("eps_deterministic_legend_text", "High Resolution", "");
  331  static MagicsParameter<string> eps_control("eps_control", "on", "");
  332  static MagicsParameter<int> eps_control_line_thickness("eps_control_line_thickness", 2, "");
  333: static MagicsParameter<string> eps_control_legend_text("eps_control_legend_text", "ENS Control", "");
  334  static MagicsParameter<string> legend("legend", "on", "");
  335  static MagicsParameter<string> eps_grey_legend("eps_grey_legend", "on", "");

/Users/sylvie/build/magics/src/params/GraphPlottingAttributes.cc:
   29  GraphPlottingAttributes::GraphPlottingAttributes():
   30  	legend_(ParameterManager::getBool("legend")),
   31: 	legend_text_(ParameterManager::getString("legend_user_text"))
   32  	,
   33  	type_(MagTranslator<string, Graph>().magics("graph_type"))
   ..
   50  	
   51  	setAttribute(prefix, "legend", legend_, params);
   52: 	setAttribute(prefix, "legend_user_text", legend_text_, params);
   53  	
   54  	setMember(prefix, "graph_type", type_, params);
   ..
   59  {
   60  	legend_ = other.legend_;
   61: 	legend_text_ = other.legend_text_;
   62  	type_ = unique_ptr<Graph>(other.type_->clone());
   63  	
   ..
   97  	out << "Attributes[";
   98  	out << " legend = " <<  legend_;
   99: 	out << " legend_text = " <<  legend_text_;
  100  	out << " type = " <<  *type_;
  101  	
  ...
  109  	niceprint(out,legend_);
  110  	out << ", \"legend_user_text\":";
  111: 	niceprint(out,legend_text_);
  112  	out << ", \"graph_type\":";
  113  	type_->toxml(out);

/Users/sylvie/build/magics/src/params/IsoPlotAttributes.cc:
   32  	resolution_(ParameterManager::getDouble("contour_internal_reduction_factor")),
   33  	technique_(ParameterManager::getString("contour_internal_technique")),
   34: 	legend_text_(ParameterManager::getString("contour_legend_text")),
   35  	thickness_(ParameterManager::getInt("contour_line_thickness")),
   36  	rainbow_(ParameterManager::getBool("contour_line_colour_rainbow")),
   ..
   75  	setAttribute(prefix, "contour_internal_reduction_factor", resolution_, params);
   76  	setAttribute(prefix, "contour_internal_technique", technique_, params);
   77: 	setAttribute(prefix, "contour_legend_text", legend_text_, params);
   78  	setAttribute(prefix, "contour_line_thickness", thickness_, params);
   79  	setAttribute(prefix, "contour_line_colour_rainbow", rainbow_, params);
   ..
  105  	resolution_ = other.resolution_;
  106  	technique_ = other.technique_;
  107: 	legend_text_ = other.legend_text_;
  108  	thickness_ = other.thickness_;
  109  	rainbow_ = other.rainbow_;
  ...
  180  	out << " resolution = " <<  resolution_;
  181  	out << " technique = " <<  technique_;
  182: 	out << " legend_text = " <<  legend_text_;
  183  	out << " thickness = " <<  thickness_;
  184  	out << " rainbow = " <<  rainbow_;
  ...
  215  	out << ", \"contour_internal_technique\":";
  216  	niceprint(out,technique_);
  217: 	out << ", \"contour_legend_text\":";
  218: 	niceprint(out,legend_text_);
  219  	out << ", \"contour_line_thickness\":";
  220  	niceprint(out,thickness_);
  ...
  262  static MagicsParameter<double> contour_internal_reduction_factor("contour_internal_reduction_factor", 4, "");
  263  static MagicsParameter<string> contour_internal_technique("contour_internal_technique", "interpolate", "");
  264: static MagicsParameter<string> contour_legend_text("contour_legend_text", " ", "");
  265  static MagicsParameter<int> contour_line_thickness("contour_line_thickness", 1, "");
  266  static MagicsParameter<string> contour_line_colour_rainbow("contour_line_colour_rainbow", "off", "");

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.cc:
   38  	use_max_(ParameterManager::getBool("legend_user_maximum")),
   39  	use_max_text_(ParameterManager::getString("legend_user_maximum_text")),
   40: 	format_(ParameterManager::getString("legend_text_format")),
   41  	box_(ParameterManager::getString("legend_box_mode")),
   42  	box_position_(ParameterManager::getString("legend_automatic_position")),
   43: 	font_(ParameterManager::getString("legend_text_font")),
   44: 	font_style_(ParameterManager::getString("legend_text_font_style")),
   45: 	font_dimension_(ParameterManager::getString("legend_text_font_size")),
   46: 	text_quality_(ParameterManager::getString("legend_text_quality")),
   47: 	orientation_(ParameterManager::getDouble("legend_text_orientation")),
   48  	lines_(ParameterManager::getStringArray("legend_user_lines")),
   49  	columns_(ParameterManager::getInt("legend_column_count")),
   50  	direction_(ParameterManager::getString("legend_entry_plot_direction")),
   51  	entry_orientation_(ParameterManager::getString("legend_entry_plot_orientation")),
   52: 	composition_(ParameterManager::getString("legend_text_composition")),
   53  	values_list_(ParameterManager::getDoubleArray("legend_values_list")),
   54  	text_(ParameterManager::getString("legend_user_text")),
   ..
   76  	entry_border_(ParameterManager::getBool("legend_entry_border"))
   77  	,
   78: 	colour_(MagTranslator<string, Colour>().magics("legend_text_colour")),
   79  	title_font_colour_(MagTranslator<string, Colour>().magics("legend_title_font_colour")),
   80  	title_position_(MagTranslator<string, Position>().magics("legend_title_position")),
   ..
  110  	setAttribute(prefix, "legend_user_maximum", use_max_, params);
  111  	setAttribute(prefix, "legend_user_maximum_text", use_max_text_, params);
  112: 	setAttribute(prefix, "legend_text_format", format_, params);
  113  	setAttribute(prefix, "legend_box_mode", box_, params);
  114  	setAttribute(prefix, "legend_automatic_position", box_position_, params);
  115: 	setAttribute(prefix, "legend_text_font", font_, params);
  116: 	setAttribute(prefix, "legend_text_font_style", font_style_, params);
  117: 	setAttribute(prefix, "legend_text_font_size", font_dimension_, params);
  118: 	setAttribute(prefix, "legend_text_quality", text_quality_, params);
  119: 	setAttribute(prefix, "legend_text_orientation", orientation_, params);
  120  	setAttribute(prefix, "legend_user_lines", lines_, params);
  121  	setAttribute(prefix, "legend_column_count", columns_, params);
  122  	setAttribute(prefix, "legend_entry_plot_direction", direction_, params);
  123  	setAttribute(prefix, "legend_entry_plot_orientation", entry_orientation_, params);
  124: 	setAttribute(prefix, "legend_text_composition", composition_, params);
  125  	setAttribute(prefix, "legend_values_list", values_list_, params);
  126  	setAttribute(prefix, "legend_user_text", text_, params);
  ...
  148  	setAttribute(prefix, "legend_entry_border", entry_border_, params);
  149  	
  150: 	setMember(prefix, "legend_text_colour", colour_, params);
  151  	setMember(prefix, "legend_title_font_colour", title_font_colour_, params);
  152  	setAttribute(prefix, "legend_title_position", title_position_, params);
  ...
  330  	out << ", \"legend_user_maximum_text\":";
  331  	niceprint(out,use_max_text_);
  332: 	out << ", \"legend_text_format\":";
  333  	niceprint(out,format_);
  334  	out << ", \"legend_box_mode\":";
  ...
  336  	out << ", \"legend_automatic_position\":";
  337  	niceprint(out,box_position_);
  338: 	out << ", \"legend_text_font\":";
  339  	niceprint(out,font_);
  340: 	out << ", \"legend_text_font_style\":";
  341  	niceprint(out,font_style_);
  342: 	out << ", \"legend_text_font_size\":";
  343  	niceprint(out,font_dimension_);
  344: 	out << ", \"legend_text_quality\":";
  345  	niceprint(out,text_quality_);
  346: 	out << ", \"legend_text_orientation\":";
  347  	niceprint(out,orientation_);
  348  	out << ", \"legend_user_lines\":";
  ...
  354  	out << ", \"legend_entry_plot_orientation\":";
  355  	niceprint(out,entry_orientation_);
  356: 	out << ", \"legend_text_composition\":";
  357  	niceprint(out,composition_);
  358  	out << ", \"legend_values_list\":";
  ...
  404  	out << ", \"legend_entry_border\":";
  405  	niceprint(out,entry_border_);
  406: 	out << ", \"legend_text_colour\":";
  407  	niceprint(out, *colour_);
  408  	out << ", \"legend_title_font_colour\":";
  ...
  431  static MagicsParameter<string> legend_user_maximum("legend_user_maximum", "off", "");
  432  static MagicsParameter<string> legend_user_maximum_text("legend_user_maximum_text", "", "");
  433: static MagicsParameter<string> legend_text_format("legend_text_format", "(automatic)", "");
  434  static MagicsParameter<string> legend_box_mode("legend_box_mode", "automatic", "");
  435  static MagicsParameter<string> legend_automatic_position("legend_automatic_position", "top", "");
  436: static MagicsParameter<string> legend_text_font("legend_text_font", "sansserif", "");
  437: static MagicsParameter<string> legend_text_font_style("legend_text_font_style", "normal", "");
  438: static MagicsParameter<string> legend_text_font_size("legend_text_font_size", "0.3", "");
  439: static MagicsParameter<string> legend_text_quality("legend_text_quality", "medium", "");
  440: static MagicsParameter<double> legend_text_orientation("legend_text_orientation", 0, "");
  441  static MagicsParameter<stringarray> legend_user_lines("legend_user_lines", stringarray(), "");
  442  static MagicsParameter<int> legend_column_count("legend_column_count", 1, "");
  443  static MagicsParameter<string> legend_entry_plot_direction("legend_entry_plot_direction", "automatic", "");
  444  static MagicsParameter<string> legend_entry_plot_orientation("legend_entry_plot_orientation", "bottom_top", "");
  445: static MagicsParameter<string> legend_text_composition("legend_text_composition", "automatic_text_only", "");
  446  static MagicsParameter<doublearray> legend_values_list("legend_values_list", floatarray(), "");
  447  static MagicsParameter<string> legend_user_text("legend_user_text", "", "");
  ...
  468  static MagicsParameter<double> legend_entry_text_width("legend_entry_text_width", 60, "");
  469  static MagicsParameter<string> legend_entry_border("legend_entry_border", "on", "");
  470: static MagicsParameter<string> legend_text_colour("legend_text_colour", "blue", ""); 
  471  static MagicsParameter<string> legend_title_font_colour("legend_title_font_colour", "automatic", ""); 
  472  static MagicsParameter<string> legend_title_position("legend_title_position", "automatic", ""); 

/Users/sylvie/build/magics/src/params/SymbolIndividualModeAttributes.cc:
   28  
   29  SymbolIndividualModeAttributes::SymbolIndividualModeAttributes():
   30: 	legend_text_(ParameterManager::getString("legend_user_text")),
   31  	height_(ParameterManager::getDouble("symbol_height")),
   32  	marker_mode_(ParameterManager::getString("symbol_marker_mode")),
   ..
   63  	prefix[i++] = "symbol";
   64  	
   65: 	setAttribute(prefix, "legend_user_text", legend_text_, params);
   66  	setAttribute(prefix, "symbol_height", height_, params);
   67  	setAttribute(prefix, "symbol_marker_mode", marker_mode_, params);
   ..
   86  void SymbolIndividualModeAttributes::copy(const SymbolIndividualModeAttributes& other)
   87  {
   88: 	legend_text_ = other.legend_text_;
   89  	height_ = other.height_;
   90  	marker_mode_ = other.marker_mode_;
   ..
  134  {
  135  	out << "Attributes[";
  136: 	out << " legend_text = " <<  legend_text_;
  137  	out << " height = " <<  height_;
  138  	out << " marker_mode = " <<  marker_mode_;
  ...
  159  	out <<  "\"individual\""; 
  160  	out << ", \"legend_user_text\":";
  161: 	niceprint(out,legend_text_);
  162  	out << ", \"symbol_height\":";
  163  	niceprint(out,height_);

/Users/sylvie/build/magics/src/params/WindPlottingAttributes.cc:
   30  	legend_(ParameterManager::getBool("legend")),
   31  	legend_only_(ParameterManager::getBool("wind_legend_only")),
   32: 	legend_text_(ParameterManager::getString("wind_legend_text")),
   33  	advanced_method_(ParameterManager::getString("wind_advanced_method")),
   34  	colour_method_(ParameterManager::getString("wind_advanced_colour_parameter")),
   ..
   68  	setAttribute(prefix, "legend", legend_, params);
   69  	setAttribute(prefix, "wind_legend_only", legend_only_, params);
   70: 	setAttribute(prefix, "wind_legend_text", legend_text_, params);
   71  	setAttribute(prefix, "wind_advanced_method", advanced_method_, params);
   72  	setAttribute(prefix, "wind_advanced_colour_parameter", colour_method_, params);
   ..
   93  	legend_ = other.legend_;
   94  	legend_only_ = other.legend_only_;
   95: 	legend_text_ = other.legend_text_;
   96  	advanced_method_ = other.advanced_method_;
   97  	colour_method_ = other.colour_method_;
   ..
  151  	out << " legend = " <<  legend_;
  152  	out << " legend_only = " <<  legend_only_;
  153: 	out << " legend_text = " <<  legend_text_;
  154  	out << " advanced_method = " <<  advanced_method_;
  155  	out << " colour_method = " <<  colour_method_;
  ...
  179  	out << ", \"wind_legend_only\":";
  180  	niceprint(out,legend_only_);
  181: 	out << ", \"wind_legend_text\":";
  182: 	niceprint(out,legend_text_);
  183  	out << ", \"wind_advanced_method\":";
  184  	niceprint(out,advanced_method_);
  ...
  218  static MagicsParameter<string> legend("legend", "off", "");
  219  static MagicsParameter<string> wind_legend_only("wind_legend_only", "off", "");
  220: static MagicsParameter<string> wind_legend_text("wind_legend_text", "vector", "");
  221  static MagicsParameter<string> wind_advanced_method("wind_advanced_method", "off", "");
  222  static MagicsParameter<string> wind_advanced_colour_parameter("wind_advanced_colour_parameter", "speed", "");

131 matches across 17 files


Searching 555 files for "silent_"

/Users/sylvie/git/magics/src/basic/FortranMagics.cc:
  116  void FortranMagics::popen() {
  117      MagLog::info() << "popen()" << endl;
  118:     if (getEnvVariable("MAGPLUS_QUIET").empty() && !silent_) {
  119          MagLog::userInfo() << "------------------------------------------------------------------\n";
  120          MagLog::userInfo() << "\n";
  ...
  186      Layout::reset();
  187  
  188:     if (getEnvVariable("MAGPLUS_QUIET").empty() && !silent_) {
  189          /*
  190              MagLog::userInfo() << "------------------------------------------------------------------\n";

/Users/sylvie/git/magics/src/common/MagLog.cc:
   30  class MagLogObserver : public ostringstream {
   31  public:
   32:     MagLogObserver() : silent_(false) {}
   33      ~MagLogObserver() {}
   34  
   ..
   37          flush();
   38      }
   39:     bool silent_;
   40:     void silent() { silent_ = true; }
   41      virtual void warning(const string& msg) {}
   42      virtual void error(const string& msg) {}
   ..
   53  
   54      void warning(const string& msg) {
   55:         if (silent_)
   56              return;
   57          if (msg.size())
   ..
   68  
   69      void error(const string& msg) {
   70:         if (silent_)
   71              return;
   72          if (msg.size())
   ..
   83  
   84      void info(const string& msg) {
   85:         if (silent_)
   86              return;
   87          if (msg.size())
   ..
   97  
   98      void debug(const string& msg) {
   99:         if (silent_)
  100              return;
  101          if (msg.size())

/Users/sylvie/build/magics/src/params/FortranRootSceneNodeAttributes.cc:
   37  	plot_direction_(ParameterManager::getString("plot_direction")),
   38  	legend_(ParameterManager::getBool("legend")),
   39: 	silent_(ParameterManager::getBool("magics_silent"))
   40  	,
   41  	colour_(MagTranslator<string, Colour>().magics("super_page_frame_colour")),
   ..
   67  	setAttribute(prefix, "plot_direction", plot_direction_, params);
   68  	setAttribute(prefix, "legend", legend_, params);
   69: 	setAttribute(prefix, "magics_silent", silent_, params);
   70  	
   71  	setMember(prefix, "super_page_frame_colour", colour_, params);
   ..
   85  	plot_direction_ = other.plot_direction_;
   86  	legend_ = other.legend_;
   87: 	silent_ = other.silent_;
   88  	colour_ = unique_ptr<Colour>(other.colour_->clone());
   89  	style_ = other.style_;
   ..
  128  	out << " plot_direction = " <<  plot_direction_;
  129  	out << " legend = " <<  legend_;
  130: 	out << " silent = " <<  silent_;
  131  	out << " colour = " <<  *colour_;
  132  	out << " style = " <<  style_;
  ...
  157  	niceprint(out,legend_);
  158  	out << ", \"magics_silent\":";
  159: 	niceprint(out,silent_);
  160  	out << ", \"super_page_frame_colour\":";
  161  	niceprint(out, *colour_);

/Users/sylvie/build/magics/src/params/MagicsGlobalAttributes.cc:
   28  
   29  MagicsGlobalAttributes::MagicsGlobalAttributes():
   30: 	silent_(ParameterManager::getBool("magics_silent"))
   31  	
   32  	 
   ..
   47  	prefix[i++] = "";
   48  	
   49: 	setAttribute(prefix, "magics_silent", silent_, params);
   50  	
   51  	
   ..
   54  void MagicsGlobalAttributes::copy(const MagicsGlobalAttributes& other)
   55  {
   56: 	silent_ = other.silent_;
   57  	
   58  } 
   ..
   86  {
   87  	out << "Attributes[";
   88: 	out << " silent = " <<  silent_;
   89  	
   90  	out << "]" << "\n";
   ..
   95  	out <<  "\"None\""; 
   96  	out << ", \"magics_silent\":";
   97: 	niceprint(out,silent_);
   98  	
   99  }

21 matches across 4 files


Searching 421 files for "silent"

/Users/sylvie/git/magics/src/params/FortranRootSceneNode.xml:
   64           		<release>Improved in Magics2.1		</release>
   65    	</parameter>
   66:       <parameter member="silent" to="bool" default="off" from="string" name="magics_silent">
   67              <documentation>Turn on/off legend   </documentation>
   68              <release>Improved in Magics2.1    </release>

/Users/sylvie/git/magics/src/params/MagicsGlobal.xml:
   10  does it submit to any jurisdiction.
   11  -->
   12:       <parameter member="silent" to="bool" default="off" from="string" name="magics_silent">
   13              <documentation>Turn on/off legend   </documentation>
   14              <release>Improved in Magics2.1    </release>

4 matches across 2 files


Searching 1231 files for "MagicsGlobal"

/Users/sylvie/git/magics/src/basic/FortranMagics.h:
   28  #include "DisplayManager.h"
   29  #include "DriverManager.h"
   30: #include "MagicsGlobalAttributes.h"
   31  #include "OutputHandler.h"
   32  
   ..
   44  
   45  
   46: class MagicsGlobal : public MagicsGlobalAttributes {
   47  public:
   48:     MagicsGlobal(){};
   49:     ~MagicsGlobal(){};
   50  };
   51  
   52: class FortranMagics : public MagicsGlobal, public std::stack<BasicSceneObject*> {
   53  public:
   54      FortranMagics();

/Users/sylvie/build/magics/src/params/MagicsGlobalAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file MagicsGlobalAttributes.h
   15:     \\brief Definition of MagicsGlobal Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "MagicsGlobalAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: MagicsGlobalAttributes::MagicsGlobalAttributes():
   30  	silent_(ParameterManager::getBool("magics_silent"))
   31  	
   ..
   35  
   36  
   37: MagicsGlobalAttributes::~MagicsGlobalAttributes()
   38  {
   39  	
   ..
   41  
   42      
   43: void MagicsGlobalAttributes::set(const std::map<string, string>& params)
   44  {
   45  	vector<string> prefix(1);
   ..
   52  }
   53  
   54: void MagicsGlobalAttributes::copy(const MagicsGlobalAttributes& other)
   55  {
   56  	silent_ = other.silent_;
   ..
   59  
   60  
   61: bool MagicsGlobalAttributes::accept(const string& node)
   62  {	
   63  	if ( magCompare(node, "None")  )
   ..
   67  }
   68  
   69: void MagicsGlobalAttributes::set(const XmlNode& node)
   70  {
   71  	if ( this->accept(node.name()) == false ) 
   ..
   83  }
   84  
   85: void MagicsGlobalAttributes::print(ostream& out)  const
   86  {
   87  	out << "Attributes[";
   ..
   91  }
   92  
   93: void MagicsGlobalAttributes::toxml(ostream& out)  const
   94  {
   95  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/MagicsGlobalAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileMagicsGlobalAttributes.h
   15:     \brief Definition of MagicsGlobal Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef MagicsGlobalAttributes_H
   25: #define MagicsGlobalAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class MagicsGlobalAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     MagicsGlobalAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~MagicsGlobalAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const MagicsGlobalAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   55  
   56  private:
   57: 	friend ostream& operator<<(ostream& s,const MagicsGlobalAttributes& p)
   58  	{ p.print(s); return s; }
   59  };

29 matches across 3 files


Searching 1231 files for "popen "

/Users/sylvie/git/magics/src/basic/FortranMagics.cc:
  181  
  182      // We reset all the parameters to their default,
  183:     // then a consecutive call to popen will not be affected by the current values.
  184      ParameterManager::reset();
  185  

/Users/sylvie/git/magics/src/drivers/minizip/zip.h:
  112  #define APPEND_STATUS_ADDINZIP      (2)
  113  
  114: extern zipFile ZEXPORT zipOpen OF((const char *pathname, int append));
  115  /*
  116    Create a zipfile.

2 matches across 2 files


Searching 1231 files for ""adding Paper"

0 matches

Searching 1231 files for "adding Pa"

0 matches

Searching 1231 files for "adding Pa"

0 matches

Searching 1231 files for "adding "

/Users/sylvie/git/magics/src/decoders/GribRegularInterpretor.cc:
  936      }
  937  
  938:     // compute the number of points we'll be adding to the matrix so that we can
  939      // allocate them in one go, rather than allowing the STL to re-allocate
  940      // when we reach the capacity

/Users/sylvie/git/magics/src/decoders/ShapeDecoder.cc:
  431                          }
  432                          poly->push_back(PaperPoint(x, y));
  433:                         cout << "adding " << PaperPoint(x, y) << endl;
  434                      }
  435                      if (polyleft)

/Users/sylvie/git/magics/src/decoders/TileDecoder.cc:
  457          }
  458  
  459:         // Adding a gutter of 5 points to avoid borders in tiles
  460          int miny = std::min(bbox[1], bbox[3]);
  461          miny     = std::max(0, miny - 5);

/Users/sylvie/git/magics/src/drivers/GeoJsonDriver.cc:
  145              for (; it != itend; it++) {
  146                  if (debug_)
  147:                     MagLog::dev() << "GeoJsonDriver.close() > Start adding file " << *it << " to ZIP file.\n";
  148                  FILE* fin;
  149                  int size_read;

/Users/sylvie/git/magics/src/drivers/KMLDriver.cc:
  208              for (; it != itend; it++) {
  209                  if (debug_)
  210:                     MagLog::dev() << "KMLDriver.close() > Start adding file " << *it << " to KMZ file.\n";
  211                  FILE* fin;
  212                  int size_read;

5 matches across 5 files


Searching 555 files for "static "

/Users/sylvie/git/magics/apps/metgram/metgramx.cc:
   43  
   44  
   45: static 
   46  void substitute(string& xml, const string& var, const string& val)
   47  {
   ..
  141  			TempFile file;
  142  			ofstream& out = file();
  143: 			static string s; 
  144  			s = "";
  145  

/Users/sylvie/git/magics/src/basic/BasicSceneObject.cc:
  158  
  159  void BasicSceneNode::getReady() {
  160:     static int i = 0;
  161      ostringstream n;
  162      n << "basic" << i;

/Users/sylvie/git/magics/src/basic/FortranMagics.cc:
  532      ostringstream out;
  533      out << style;
  534:     static string temp;
  535      temp = out.str();
  536      return temp.c_str();
  ...
  543  
  544      NetcdfGuess guesser;
  545:     static string empty, result;
  546      auto checks = guesser.guess_.find(dim);
  547      if (checks == guesser.guess_.end())
  ...
  588      ostringstream out;
  589      out << style;
  590:     static string temp;
  591      temp = out.str();
  592      return temp.c_str();
  ...
  609      ostringstream out;
  610      out << style;
  611:     static string temp;
  612      temp = out.str();
  613      return temp.c_str();
  ...
  618      actions();
  619      action_ = new VisualAction();
  620:     static string gribfile;
  621  
  622      string grib;

/Users/sylvie/git/magics/src/basic/Layer.cc:
  100  }
  101  
  102: static string iso_time("%Y-%m-%dT%H:%M:00Z");
  103  
  104  string Layer::timeBegin() const {
  ...
  129  
  130  const string& Layer::metadata(const string& param) {
  131:     static string empty;
  132      map<string, string>::iterator data = metadata_.find(param);
  133  
  ...
  285  
  286  void StepLayer::addStep(BasicSceneObject* object) {
  287:     static int level   = 100;
  288      SingleLayer* layer = new SingleLayer(this, object);
  289      layer->name(name_);
  290      layer->id(id_);
  291:     static int mod       = 0;
  292:     static DateTime date = DateTime();
  293  
  294      layer->metadata("valid_date", string(date));
  ...
  444  
  445  void TextLayer::execute(const BaseDriver& driver) const {
  446:     // get the text for static later!
  447      Layout* layout = new Layout();
  448      layout->parent(parent_);
  ...
  797      int size = (rules_) ? rules_->size() : 0;
  798      if (i >= size)
  799:     // Only Static Layers!
  800      {
  801          for (vector<Layer*>::const_iterator layer = layers_.begin(); layer != layers_.end(); ++layer) {
  ...
  846      if (legend_)
  847          legend_->clear();
  848:     // We collect the static infos...
  849      textHandler_.collectText(textVisitors_, legend_);
  850      layers.push_back(&textHandler_);
  851      // Then we have to ask all the layers to collect and update the texts entries !
  852      if (i >= size) {
  853:         // here we have only static layers!
  854          for (vector<Layer*>::const_iterator layer = layers_.begin(); layer != layers_.end(); ++layer) {
  855              (*layer)->collectText(textVisitors_, legend_);
  ...
  866                  map<Layer*, int>::iterator l = step->find(*layer);
  867                  if (l == step->end()) {
  868:                     // this is a static layer!
  869                      (*layer)->collectText(textVisitors_, legend_);
  870                      layers.push_back(*layer);
  ...
  986  
  987  LevelDescription& SingleLayer::dataLevel() const {
  988:     static LevelDescription level;
  989      object_->visit(level_);
  990      return level_;

/Users/sylvie/git/magics/src/basic/LegendVisitor.cc:
   48  
   49  LegendVisitor::LegendVisitor() {
   50:     static int i = 0;
   51      ostringstream n;
   52      //BasicSceneObject::name(n.str());

/Users/sylvie/git/magics/src/basic/MagnifierVisitor.cc:
   43  
   44  MagnifierVisitor::MagnifierVisitor() : values_(0), more_(0) {
   45:     static int count = 0;
   46  
   47      ostringstream n;

/Users/sylvie/git/magics/src/basic/RootSceneNode.cc:
  348  
  349  RootScenePage::RootScenePage(double width, double height) : root_(0), width_(width), height_(height) {
  350:     static int i = 0;
  351      ostringstream n;
  352      n << "rootpage" << i;
  ...
  358  }
  359  RootScenePage::RootScenePage() : root_(0), width_(0), height_(0) {
  360:     static int i = 0;
  361      ostringstream n;
  362      n << "rootpage" << i;
  ...
  389  
  390  void MvRootScenePage::getReady() {
  391:     static int i = 0;
  392      ostringstream n;
  393      n << "basic" << i;
  ...
  407      layout_->name(name_);
  408  }
  409: static SimpleObjectMaker<A4, PaperDimension> a4("a4");
  410: static SimpleObjectMaker<A3, PaperDimension> a3("a3");
  411: static SimpleObjectMaker<A5, PaperDimension> a5("a5");
  412: static SimpleObjectMaker<A6, PaperDimension> a6("a6");
  413  

/Users/sylvie/git/magics/src/basic/SceneNode.cc:
   31  
   32  SceneNode::SceneNode() : legend_(0) {
   33:     static int i = 0;
   34  
   35  

/Users/sylvie/git/magics/src/basic/TagHandler.cc:
  380  
  381  bool TagConverter::staticTag(const string& line) {
  382:     static vector<string> keys;
  383      if (keys.empty()) {
  384          keys.push_back("grib_info");

/Users/sylvie/git/magics/src/basic/TextVisitor.cc:
   45  
   46  TextVisitor::TextVisitor() : positional_(true) {
   47:     static int i = 0;
   48      ostringstream n;
   49      n << "TextVisitor" << i;

/Users/sylvie/git/magics/src/basic/ViewNode.cc:
   49      needLegend_(false),
   50      drawing_background_colour_("none") {
   51:     static int i = 0;
   52      ostringstream n;
   53      n << "ViewNode" << i;
   ..
  618      return node;
  619  }
  620: static SimpleObjectMaker<NoOverlayAnimationRules, AnimationRules> never("never");
  621: static SimpleObjectMaker<LevelAnimationRules, AnimationRules> by_level("by_level");
  622: static SimpleObjectMaker<DateAnimationRules, AnimationRules> by_date("by_date");
  623: static SimpleObjectMaker<AsIsAnimationRules, AnimationRules> always("always");
  624: static SimpleObjectMaker<AsIsAnimationRules, AnimationRules> basic("basic");
  625: static SimpleObjectMaker<NoOverlayAnimationRules, AnimationRules> none("none");
  626  

/Users/sylvie/git/magics/src/basic/WebFormat.cc:
   53      return from;
   54  }
   55: static void substitute(string& xml, const map<string, string>& variables) {
   56      for (unsigned int i = 0; i < xml.size(); i++) {
   57          if (xml[i] == '$') {

/Users/sylvie/git/magics/src/common/AutoLocker.cc:
   25  typedef map<void*, pthread_t, std::less<void*> > GotMap;
   26  typedef map<pthread_t, void*, std::less<pthread_t> > WantMap;
   27: static WantMap* wantMap = 0;
   28: static GotMap* gotMap   = 0;
   29  
   30  typedef set<pthread_t, std::less<pthread_t> > Set;
   ..
   66  }
   67  
   68: static void visit(pthread_t p, Set& s, void* resource) {
   69      if (s.find(p) != s.end())
   70          Panic("Deadlock detected");

/Users/sylvie/git/magics/src/common/AutomaticPlotManager.cc:
  149  
  150  
  151: static SimpleObjectMaker<AutomaticPlotManager, PlotManager> automatic_plot_manager("automatic");
  152  

/Users/sylvie/git/magics/src/common/CartesianTransformation.cc:
   52  
   53  
   54: static void niceAdjust(double& min, double& max) {
   55      float inc;
   56      int nb = 5;

/Users/sylvie/git/magics/src/common/Colour.cc:
  550  }
  551  bool Colour::none() const {
  552:     static Colour none("none");
  553      return *this == none;
  554  }

/Users/sylvie/git/magics/src/common/ColourTableDefinitionCompute.cc:
  281  
  282  
  283: static const float toRadFactor = 3.14159265359 / 180.;
  284: static const float toDegFactor = 180. / 3.14159265359;
  285  
  286  // reference values for the XYZ colour model.Observer= 2 deg, illuminant= D65
  287: static float REF_X = 95.047;
  288: static float REF_Y = 100.000;
  289: static float REF_Z = 108.883;
  290  
  291  void ColourTableDefinitionCompute::hcl(const Colour& colour, float& h, float& c, float& l) {

/Users/sylvie/git/magics/src/common/Emagram.cc:
   37  // the right edge of the real skew-t area. To the right
   38  // is the info area to plot the wind profile.
   39: static double maxpcx;
   40  
   41  void Emagram::init() {
   ..
  300  }
  301  
  302: static void toxml2(string& out, const map<string, string>& def) {
  303      ostringstream os;
  304      string sep = "";

/Users/sylvie/git/magics/src/common/FrameLoop.cc:
   43  
   44  FrameEntry::FrameEntry() {
   45:     static int index = 0;
   46      ostringstream name;
   47  
   ..
   95  }
   96  void FrameLoop::redisplay(const BaseDriver& driver) const {
   97:     // static int i = 0;
   98      // if ( i == size() ) i = 0;
   99      //(*this)[i]->execute(driver);

/Users/sylvie/git/magics/src/common/LogoPlotting.cc:
   46  
   47  void LogoPlotting::operator()(BasicGraphicsObjectContainer& tree) const {
   48:     static map<string, string> logos;
   49      if (logos.empty()) {
   50          logos["ecmwf"] = "logo_ecmwf";

/Users/sylvie/git/magics/src/common/MagExceptions.cc:
   21  #include "magics_windef.h"
   22  
   23: static MagException*& first() {
   24:     static ThreadSingleton<MagException*> p;
   25      return p.instance();
   26  }

/Users/sylvie/git/magics/src/common/MagicsCalls.cc:
   29  
   30  
   31: static FortranMagics* magics_ = 0;
   32  
   33  /*! \defgroup compatibility Compatibility to MAGICS 6 for deprecated parameters
   ..
   38  
   39    To add a new parameter produce a new class which inherits from CompatibilityHelper.
   40:   The produce a static object of that class: static 'class_name' 'para_name';
   41  
   42  */
   ..
   57      virtual ~CompatibilityHelper() {}
   58      template <class P>
   59:     static bool check(const string& param, P value) {
   60          map<string, CompatibilityHelper*>::const_iterator tool = compatibility_.find(lowerCase(param));
   61          if (tool == compatibility_.end())
   ..
   64              return (*(tool->second))(value);
   65      }
   66:     static void reset(const string& param) {
   67          map<string, CompatibilityHelper*>::const_iterator tool = compatibility_.find(lowerCase(param));
   68          if (tool != compatibility_.end())
   69              (*(tool->second)).reset();
   70      }
   71:     static bool check(const string& param, const string& value) {
   72          map<string, CompatibilityHelper*>::const_iterator tool = compatibility_.find(lowerCase(param));
   73          if (tool == compatibility_.end())
   ..
   86  
   87  protected:
   88:     static map<string, CompatibilityHelper*> compatibility_;
   89  };
   90  
   ..
  478  
  479  
  480: static GraphValuesConverter graph_curve_x_values("graph_curve_x_values", "x_values");
  481: static GraphValuesConverter graph_curve_y_values("graph_curve_y_values", "y_values");
  482: static GraphValuesConverter graph_curve_date_x_values("graph_curve_date_x_values", "x_date_values");
  483: static GraphValuesConverter graph_curve_date_y_values("graph_curve_date_y_values", "y_date_values");
  484  
  485  
  486: static GraphValuesConverter graph_curve_x_base_date("graph_curve_x_base_date", "x_base_date");
  487: static GraphValuesConverter graph_curve_x_date_offset("graph_curve_x_date_offset", "x_date_offset");
  488: static GraphValuesConverter graph_curve_y_base_date("graph_curve_y_base_date", "y_base_date");
  489: static GraphValuesConverter graph_curve_y_date_offset("graph_curve_y_date_offset", "y_date_offset");
  490  
  491: static GraphValuesConverter graph_curve_x2_base_date("graph_curve_x2_base_date", "x2_base_date");
  492: static GraphValuesConverter graph_curve_x2_date_offset("graph_curve_x2_date_offset", "x2_date_offset");
  493: static GraphValuesConverter graph_curve_y2_base_date("graph_curve_y2_base_date", "y2_base_date");
  494: static GraphValuesConverter graph_curve_y2_date_offset("graph_curve_y2_date_offset", "y2_date_offset");
  495  
  496: static GraphValuesConverter graph_curve2_x_values("graph_curve2_x_values", "x2_values");
  497: static GraphValuesConverter graph_curve2_y_values("graph_curve2_y_values", "y2_values");
  498: static GraphValuesConverter graph_curve2_date_x_values("graph_curve2_date_x_values", "x2_date_values");
  499: static GraphValuesConverter graph_curve2_date_y_values("graph_curve2_date_y_values", "y2_date_values");
  500  
  501: static ValuesConverter symbol_input_text_list("symbol_input_text_list", "symbol_texts");
  502: static ValuesConverter contour_hilo_text_blanking("contour_hilo_text_blanking", "contour_hilo_blanking");
  503: static GraphValuesConverter graph_bar_x_values("graph_bar_x_values", "x_values");
  504: static GraphValuesConverter graph_bar_y_values("graph_bar_y_values", "y_values");
  505: static GraphValuesConverter graph_bar_date_x_values("graph_bar_date_x_values", "x_date_values");
  506: static GraphValuesConverter graph_bar_date_y_values("graph_bar_date_y_values", "y_date_values");
  507  
  508: static GraphValuesConverter graph_bar_x_lower_values("graph_bar_x_lower_values", "x_lower_values");
  509: static GraphValuesConverter graph_bar_x_upper_values("graph_bar_x_upper_values", "x_upper_values");
  510: static GraphValuesConverter graph_bar_date_x_lower_values("graph_bar_date_x_lower_values", "x_lower_date_values");
  511: static GraphValuesConverter graph_bar_date_x_upper_values("graph_bar_date_x_upper_values", "x_upper_date_values");
  512  
  513: static GraphValuesConverter graph_bar_y_lower_values("graph_bar_y_lower_values", "y_lower_values");
  514: static GraphValuesConverter graph_bar_y_upper_values("graph_bar_y_upper_values", "y_upper_values");
  515: static GraphValuesConverter graph_bar_date_y_lower_values("graph_bar_date_y_lower_values", "y_lower_date_values");
  516: static GraphValuesConverter graph_bar_date_y_upper_values("graph_bar_date_y_upper_values", "y_upper_date_values");
  517  
  518  
  ...
  790  };
  791  
  792: static ContourAutomaticSetting contourautomaticsetting;
  793: static OutputResolution outputresolution;
  794: static WindArrowLegend windarrowlegend;
  795: static PsFileName ps_file_name;
  796: static GribSubareaExtraction grib_subarea_extraction;
  797: static GribFieldPosition grib_field_position;
  798: static GdFileName gd_file_name;
  799: static PsDevice ps_device;
  800: static OutputPsDevice output_ps_device;
  801: static PsHelp ps_help;
  802: static PsMetric ps_metric;
  803: static DeviceCompatibilityHelper device;
  804: static DeviceFileName device_file_name;
  805: static DeviceQualityLevel device_quality_level;
  806: static DeviceWidth device_width;
  807: static TextQuality text_quality("text");
  808: static TextQuality legend_text_quality("legend_text");
  809: static TextQuality axis_tick_label_quality("axis_tick_label");
  810: static TextQuality axis_Title_quality("axis_title");
  811: static TextQuality page_id_quality("page_id_line");
  812: static TextQuality contour_label_quality("contour_label");
  813: static TextQuality map_label_quality("map_label_quality");
  814: static WindArrowIndexHead wind_arrow_index_head;
  815  
  816: static TextFontHeight text_reference_character_height("text_reference_character_height", "text_font_size");
  817: static TextFontHeight text_height("text_font_size", "text_font_size");
  818: static TextFontHeight legend_text_font_size("legend_text_font_size", "legend_text_font_size");
  819  
  820  
  821: static SubpageMapProjectionNone subpage_map_projection_none;
  822: static NoMoreGribex grib_mode("grib_mode");
  823: static NoMoreGribex grib_product_block("grib_product_block");
  824: static NoMoreGribex grib_grid_block("grib_grid_block");
  825: static NoMoreGribex grib_output_field("grib_output_field");
  826: static NoMoreGribex grib_input_type("grib_input_type");
  827  
  828: static IgnoreConverter graph_position_mode("graph_position_mode");
  829: static IgnoreConverter axis_date_units("axis_date_units");
  830: static IgnoreConverter legend_entry_maximum_width("legend_entry_maximum_width");
  831  
  832  
  833: static IgnoreConverter graph_curve_interpolation("graph_curve_interpolation");
  834  
  835: static GraphType graph_type;
  836: static Legend legend("legend");
  837  
  838: static SimpleTranslator input_metadata("input_mars_metadata", "input_metadata");
  839: static SimpleTranslator contour_predefined_setting("contour_predefined_setting", "contour_style_name");
  840: static SimpleTranslator netcdf_x_position_variable("netcdf_x_position_variable", "netcdf_x_variable");
  841: static SimpleTranslator netcdf_y_position_variable("netcdf_y_position_variable", "netcdf_y_variable");
  842: static SimpleTranslator legend_text_height("legend_text_height", "legend_text_font_size");
  843: static SimpleTranslator graph_shade_colour("graph_shade_colour", "graph_bar_colour", true);
  844: static SimpleTranslator graph_bar_colour("graph_bar_colour", "graph_shade_colour", true);
  845: static SimpleTranslator subpage_map_area_definition("subpage_map_area_definition", "subpage_map_area_definition_polar",
  846                                                      true);
  847: static SimpleTranslator wind_arrow_legend("wind_arrow_legend", "legend");
  848  #ifdef HAVE_ODB
  849: static SimpleTranslator odb_latitude("odb_latitude", "odb_latitude_variable");
  850: static SimpleTranslator odb_longitude("odb_longitude", "odb_longitude_variable");
  851: static SimpleTranslator odb_y_component("odb_y_component", "odb_y_component_variable");
  852: static SimpleTranslator odb_x_component("odb_x_component", "odb_x_component_variable");
  853: static SimpleTranslator odb_x("odb_x", "odb_x_variable");
  854: static SimpleTranslator odb_y("odb_y", "odb_y_variable");
  855: static SimpleTranslator odb_value("odb_value", "odb_value_variable");
  856  #endif
  857  
  858: static SimpleTranslator netcdf_value_variable("netcdf_field_variable_name", "netcdf_value_variable");
  859: static SimpleTranslator netcdf_latitude_variable("netcdf_latitude_variable_name", "netcdf_latitude_variable");
  860: static SimpleTranslator netcdf_longitude_variable("netcdf_longitude_variable_name", "netcdf_longitude_variable");
  861: static SimpleTranslator netcdf_x_component_variable("netcdf_x_component_variable_name", "netcdf_x_component_variable");
  862: static SimpleTranslator netcdf_y_component_variable("netcdf_y_component_variable_name", "netcdf_y_component_variable");
  863: static SimpleTranslator netcdf_x_variable("netcdf_x_variable_name", "netcdf_x_variable");
  864: static SimpleTranslator netcdf_y_variable("netcdf_y_variable_name", "netcdf_y_variable");
  865: static SimpleTranslator netcdf_x_position_variable_name("netcdf_x_position_variable_name", "netcdf_x_variable");
  866: static SimpleTranslator netcdf_y_position_variable_name("netcdf_y_position_variable_name", "netcdf_y_variable");
  867: static SimpleTranslator netcdf_x2_variable_name("netcdf_x2_variable_name", "netcdf_x_auxiliary_variable");
  868: static SimpleTranslator graph_x_missing_value("graph_x_missing_value", "x_missing_value");
  869: static SimpleTranslator graph_y_missing_value("graph_y_missing_value", "y_missing_value");
  870: static SimpleTranslator symbol_marker("symbol_marker", "symbol_marker_index");
  871  
  872  
  873  // Clean font parametermap_cities_font_
  874: static SimpleTranslator map_cities_font_name("map_cities_font_name", "map_cities_font");
  875: static SimpleTranslator eps_maximum_font_name("eps_maximum_font_name", "eps_maximum_font");
  876: static SimpleTranslator magnifier_text_font_name("magnifier_text_font_name", "magnifier_text_font");
  877: static SimpleTranslator symbol_text_font_name("symbol_text_font_name", "symbol_text_font");
  878  
  879  
  ...
  916  
  917  MAGICS_EXPORT const char* version() {
  918:     static string version = getMagicsVersionString();
  919      return version.c_str();
  920  }
  921  
  922  MAGICS_EXPORT const char* home() {
  923:     static string home = getEnvVariable("MAGPLUS_HOME");
  924      return home.c_str();
  925  }
  ...
 1852  
 1853  
 1854: static AxisConverter axis_type("axis_type", "subpage_x_axis_type", "subpage_y_axis_type");
 1855  
 1856  
 1857: static AxisConverter axis_min_value("axis_min_value", "subpage_x_min", "subpage_y_min");
 1858: static AxisConverter axis_max_value("axis_max_value", "subpage_x_max", "subpage_y_max");
 1859: static AxisConverter axis_min_date_value("axis_date_min_value", "subpage_x_date_min", "subpage_y_date_min");
 1860: static AxisConverter axis_max_date_value("axis_date_max_value", "subpage_x_date_max", "subpage_y_date_max");
 1861: static AxisConverter graph_axis_control("graph_axis_control", "subpage_x_automatic", "subpage_y_automatic");
 1862  
 1863  void execute_magml(const char* file) {
 ....
 1873  }
 1874  
 1875: static ActionInterceptor symbol_input_x_position("symbol_input_x_position", &FortranMagics::flagInputSymbol);
 1876: static ActionInterceptor symbol_input_y_position("symbol_input_y_position", &FortranMagics::flagInputSymbol);
 1877: static ActionInterceptor symbol_input_wind_direction("symbol_input_wind_direction", &FortranMagics::flagInputSymbol);
 1878: static ActionInterceptor symbol_input_wind_speed("symbol_input_wind_speed", &FortranMagics::flagInputSymbol);
 1879  
 1880: static ActionInterceptor input_field("input_field", &FortranMagics::flagInputMatrix);
 1881: static ActionInterceptor input_simple_field("input_simple_field", &FortranMagics::flagInputMatrix);
 1882: static ActionInterceptor input_wind_u_component("input_wind_u_component", &FortranMagics::flagInputMatrix);
 1883: static ActionInterceptor input_wind_v_component("input_wind_v_component", &FortranMagics::flagInputMatrix);
 1884: static ActionInterceptor input_wind_speed("input_wind_speed", &FortranMagics::flagInputMatrix);
 1885: static ActionInterceptor input_wind_direction("input_wind_direction", &FortranMagics::flagInputMatrix);
 1886  
 1887: static ActionInterceptor polyline_input_latitudes("polyline_input_latitudes", &FortranMagics::flagInputPoly);
 1888: static ActionInterceptor polyline_input_longitudes("polyline_input_longitudes", &FortranMagics::flagInputPoly);
 1889: static ActionInterceptor polyline_input_positions_filename("polyline_input_positions_filename",
 1890                                                             &FortranMagics::flagInputPoly);
 1891  
 ....
 1905      }
 1906  };
 1907: static PageIDWarning page_id_line_logo_plot;
 1908: static CoastlinesResolution map_coastline_resolution;
 1909  

/Users/sylvie/git/magics/src/common/MagicsThreads.cc:
   28  
   29  
   30: static void* do_it(void* data) {
   31      MagLog::dev() << "do_it: ok???"
   32                    << "\n";
   ..
   37  }
   38  
   39: static void* run_it(void* data) {
   40      MagLog::dev() << "do_it: ok???"
   41                    << "\n";

/Users/sylvie/git/magics/src/common/MagLog.cc:
  108  }  // namespace magics
  109  
  110: static MagLogObserver MYLOG;
  111  
  112  
  ...
  183  
  184  
  185: static void niceprint(int nb, const string& legend, const string& sep, ostream& out) {
  186      if (!nb)
  187          return;

/Users/sylvie/git/magics/src/common/Matrix.cc:
  190  
  191  /// @brief The usual PI/180 constant
  192: // static const double DEG_TO_RAD = 0.017453292519943295769236907684886;
  193  /// @brief Earth's quatratic mean radius for WGS-84
  194: static const double EARTH_RADIUS_IN_METERS = 6372797.560856;
  195  
  196  /** @brief Computes the arc, in radian, between two WGS-84 positions.

/Users/sylvie/git/magics/src/common/Mutex.cc:
   25  
   26  #if 0
   27: static int _tc(int a, const char* m)
   28  {
   29  
   ..
   78  //=============================================================
   79  
   80: static Mutex globalMutex;
   81  
   82  Mutex& Mutex::global() {

/Users/sylvie/git/magics/src/common/Node.cc:
   83  
   84  void RootNode::set(const XmlNode& params) {
   85:     static bool needsNewPage = false;
   86      XmlPageAttributes attributes;
   87      attributes.set(params);

/Users/sylvie/git/magics/src/common/OutputHandler.cc:
   73  /*
   74   This code was copied from OutputFactory.cc to hear to work in
   75:  STATIC Magics++ libraries!
   76  */
   77: static SimpleObjectMaker<PS_PsOutputFactory, OutputFactory> ps("ps");
   78: static SimpleObjectMaker<PS_EpsOutputFactory, OutputFactory> eps("eps");
   79: static SimpleObjectMaker<PS_PdfOutputFactory, OutputFactory> ps_pdf("ps_pdf");
   80  
   81  #ifdef MAGICS_RASTER
   82  #ifdef HAVE_CAIRO
   83: static SimpleObjectMaker<GD_PngOutputFactory, OutputFactory> gdpng("gd_png");
   84  #else
   85: static SimpleObjectMaker<GD_PngOutputFactory, OutputFactory> gdpng("png");
   86  #endif
   87: static SimpleObjectMaker<GD_JpegOutputFactory, OutputFactory> jpeg("jpeg");
   88: static SimpleObjectMaker<GD_GifOutputFactory, OutputFactory> gif("gif");
   89: static SimpleObjectMaker<GD_GifAnimOutputFactory, OutputFactory> gif_anim("gif_animation");
   90  #endif
   91  
   92: static SimpleObjectMaker<SVG_SvgOutputFactory, OutputFactory> svg("svg");
   93  
   94: static SimpleObjectMaker<BinaryOutputFactory, OutputFactory> binary("mgb");
   95  
   96  #ifdef HAVE_CAIRO
   97: static SimpleObjectMaker<CAIRO_PngOutputFactory, OutputFactory> png("png");
   98: static SimpleObjectMaker<CAIRO_PdfOutputFactory, OutputFactory> pdf("pdf");
   99: // static SimpleObjectMaker<CAIRO_XOutputFactory,      OutputFactory> x("x");
  100: static SimpleObjectMaker<CAIRO_CairoOutputFactory, OutputFactory> cairo("cairo");
  101: static SimpleObjectMaker<CAIRO_SvgOutputFactory, OutputFactory> csvg("cairo_svg");
  102: static SimpleObjectMaker<CAIRO_PsOutputFactory, OutputFactory> cps("cairo_ps");
  103: static SimpleObjectMaker<CAIRO_EpsOutputFactory, OutputFactory> ceps("cairo_eps");
  104  #ifdef HAVE_GEOTIFF
  105: static SimpleObjectMaker<CAIRO_GeoTiffOutputFactory, OutputFactory> geotiff("geotiff");
  106  #endif
  107  #endif
  108  
  109: static SimpleObjectMaker<KML_KmlOutputFactory, OutputFactory> kml("kml");
  110: static SimpleObjectMaker<GEOJSON_GeoJsonOutputFactory, OutputFactory> geojson("geojson");
  111  

/Users/sylvie/git/magics/src/common/PlotManager.cc:
  100  
  101  
  102: static SimpleObjectMaker<PlotManager> plot_manager("positional");
  103  

/Users/sylvie/git/magics/src/common/Proj4Projection.cc:
  120      string method_;
  121  
  122:     static map<string, Epsg*> epsgs_;
  123  
  124      void set(const json_spirit::Value&);
  125  
  126:     static Epsg* find(const Proj4Projection& from) {
  127          string name                       = lowerCase(from.name());
  128          map<string, Epsg*>::iterator epsg = epsgs_.find(name);
  ...
  406  
  407  void Proj4Projection::revert(const PaperPoint& xy, UserPoint& point) const {
  408:     static bool first = true;
  409      if (first) {
  410          const_cast<Proj4Projection*>(this)->init();
  ...
  608  
  609  magics::Polyline& Proj4Projection::getSimplePCBoundingBox() const {
  610:     static magics::Polyline box;
  611      box.box(PaperPoint(min_pcx_, min_pcy_), PaperPoint(max_pcx_, max_pcy_));
  612      /*

/Users/sylvie/git/magics/src/common/Seconds.cc:
   17  Seconds::Seconds(const timeval& time) : seconds_(time.tv_sec + time.tv_usec / 1000000.0) {}
   18  
   19: static struct {
   20      int length_;
   21      const char* name_;

/Users/sylvie/git/magics/src/common/Skewt.cc:
   37  // the right edge of the real skew-t area. To the right is
   38  // the info area to plot the wind profile.
   39: static double maxpcx;
   40  
   41  void Skewt::init() {
   ..
  282  }
  283  
  284: static void toxml2(string& out, const map<string, string>& def) {
  285      ostringstream os;
  286      string sep = "";

/Users/sylvie/git/magics/src/common/Static.cc:
   17  
   18  Static::Static() {
   19:     DriverStatic drivers;
   20  }
   21  
   ..
   24  
   25  #include "PaperDimension.h"
   26: static SimpleObjectMaker<A4, PaperDimension> a4("a4");
   27: static SimpleObjectMaker<A3, PaperDimension> a3("a3");
   28: static SimpleObjectMaker<A5, PaperDimension> a5("a5");
   29: static SimpleObjectMaker<A6, PaperDimension> a6("a6");
   30  

/Users/sylvie/git/magics/src/common/Tephigram.cc:
   44  #define sinus -0.7071
   45  #define cosinus 0.7071
   46: static double maxpcx;
   47  void Tephigram::init() {
   48      if (x_min_ == 0 && x_max_ == 100) {

/Users/sylvie/git/magics/src/common/ThreadControler.cc:
   71  
   72  void ThreadControler::execute() {
   73:     static const char* here = __FUNCTION__;
   74  
   75      //=================

/Users/sylvie/git/magics/src/common/Timer.cc:
   46      gettimeofday(&start_, 0);
   47  }
   48: static Mutex lockprofiles_;
   49  Timer::~Timer() {
   50      timeval now;

/Users/sylvie/git/magics/src/common/XmlNode.cc:
   66  */
   67  void XmlNode::print(ostream& out) const {
   68:     static int indent = -1;
   69      indent++;
   70      ostringstream tabs;

/Users/sylvie/git/magics/src/common/XmlReader.cc:
   31  XmlReader::~XmlReader() {}
   32  
   33: static void XMLCALL startElementHandler(void* data, const char* name, const char** atts) {
   34      XmlReader* reader = (XmlReader*)data;
   35      map<string, string> def;
   ..
   42  
   43  
   44: static void XMLCALL endElementHandler(void* data, const char* tag) {
   45      XmlReader* reader = (XmlReader*)data;
   46      reader->endElement(tag);
   47  }
   48  
   49: static bool empty(const string& value) {
   50      for (string::const_iterator c = value.begin(); c != value.end(); ++c) {
   51          if (!isspace(*c))
   ..
   55  }
   56  
   57: static void XMLCALL dataHandler(void* data, const char* value, int len) {
   58      string stringval = string(value, len);
   59      if (empty(stringval))
   ..
   72  
   73  
   74: static int externalEntityRefHandler(XML_Parser,  //	 parser,
   75                                      const XML_Char* context, const XML_Char* base, const XML_Char* systemID,
   76                                      const XML_Char* publicID) {

/Users/sylvie/git/magics/src/decoders/BinningObject.cc:
   71  
   72  */
   73: static double mindef = -1.0e+21;
   74: static double maxdef = 1.0e+21;
   75  
   76  void BinningObject::countx(vector<double>& vals, double min, double max) {

/Users/sylvie/git/magics/src/decoders/ClassicMtgDecoder.cc:
  185  
  186  
  187: static string get_spot(spot_query_result* result, const char* param) {
  188      char tmp[1024];
  189      size_t len = 1024;

/Users/sylvie/git/magics/src/decoders/Date.cc:
   20  using namespace magics;
   21  
   22: static const char* months[] = {"jan", "feb", "mar", "apr", "may", "jun", "jul", "aug", "sep", "oct", "nov", "dec"};
   23  
   24: static void check(const MagDate& date, long value) {
   25      if (value <= 999999)
   26          value += 19000000;

/Users/sylvie/git/magics/src/decoders/EpsgramDecoder.cc:
   50  
   51  string EpsParameter::x(const string& prefix, const string& name) const {
   52:     static map<string, string> names;
   53      //	if ( names.empty() ) {
   54      //		names["0"] = "min";
   ..
  166      typedef double (Eps2mTemperature::*CorrectionFunction)(double) const;
  167      mutable string reduction_;
  168:     static map<string, CorrectionFunction> map_;
  169  };
  170  
  ...
  307      ClimEpsPrecipitation() : EpsPrecipitation("143.128") { title_ = ""; }
  308      const string& title() const {
  309:         static string none;
  310          return none;
  311      }
  ...
  776  };
  777  }  // namespace magics
  778: static SimpleObjectMaker<EfiMaxTemperature, EpsParameter> efi_2mt_max("efi-2mt-max");
  779: static SimpleObjectMaker<EfiMinTemperature, EpsParameter> efi_2mt_min("efi-2mt-min");
  780: static SimpleObjectMaker<EfiMeanTemperature, EpsParameter> efi_2mt_mean("efi-2mt-mean");
  781: static SimpleObjectMaker<ClimMaxTemperature, EpsParameter> clim_2mt_max("clim-2mt-max");
  782: static SimpleObjectMaker<ClimMinTemperature, EpsParameter> clim_2mt_min("clim-2mt-min");
  783: static SimpleObjectMaker<ClimMeanTemperature, EpsParameter> clim_2mt_mean("clim-2mt-mean");
  784  
  785: static SimpleObjectMaker<EfiWindGust, EpsParameter> efi_wind_gust("efi-wind-gust");
  786: static SimpleObjectMaker<EfiWind, EpsParameter> efi_wind("efi-wind");
  787: static SimpleObjectMaker<ClimWindGust, EpsParameter> clim_wind_gust("clim-wind-gust");
  788: static SimpleObjectMaker<ClimWind, EpsParameter> clim_wind("clim-wind");
  789  
  790: static SimpleObjectMaker<EfiPrecipitation, EpsParameter> efi_precip("efi-precip");
  791: static SimpleObjectMaker<ClimPrecipitation, EpsParameter> clim_eps_precip("clim-precip");
  792  
  793: static SimpleObjectMaker<Eps2mTemperature, EpsParameter> mt("2mt");
  794: static SimpleObjectMaker<ClimEpsMaxTemperature, EpsParameter> tempe_clim_max("clim-eps-2mt-max");
  795: static SimpleObjectMaker<ClimEpsMinTemperature, EpsParameter> tempe_clim_min("clim-eps-2mt-min");
  796: static SimpleObjectMaker<ClimEpsTemperature, EpsParameter> tempe_clim("clim-eps-2mt");
  797  
  798: static SimpleObjectMaker<PlumeGeopotential, EpsParameter> z500("z500");
  799: static SimpleObjectMaker<PlumeTemperature, EpsParameter> t850("t850");
  800: static SimpleObjectMaker<PlumePrecip, EpsParameter> rr("rr");
  801  
  802  
  803: static SimpleObjectMaker<EpsTemperature, EpsParameter> temperature("temperature");
  804: static SimpleObjectMaker<ClTemperature, EpsParameter> cltemperature("clim-temperature");
  805: static SimpleObjectMaker<EpsWindFF, EpsParameter> wind("10m-wind");
  806: static SimpleObjectMaker<ClimEpsWindFF, EpsParameter> clim_wind_ff("clim-10m-wind");
  807: static SimpleObjectMaker<EpsWindDD, EpsParameter> windDD("10m-wind-dd");
  808  
  809: static SimpleObjectMaker<EpsCloudCover, EpsParameter> cloud("cloud-cover");
  810: static SimpleObjectMaker<ClimEpsCloudCover, EpsParameter> clim_cloud("clim-eps-cloud-cover");
  811  
  812: static SimpleObjectMaker<EpsPrecipitation, EpsParameter> precip("precip");
  813: static SimpleObjectMaker<ClimEpsPrecipitation, EpsParameter> clim_precip("clim-eps-precip");
  814  
  815  
  ...
  830      ss >> i;
  831  }
  832: static string get_spot(spot_query_result* result, const char* param) {
  833      char tmp[1024];
  834      size_t len = 1024;
  ...
  841  
  842  string convert(const string& name) {
  843:     static map<string, string> names;
  844      if (names.empty()) {
  845          names["0"] = "min";
  ...
 1103  }
 1104  
 1105: static string build_date(const string& date, const string& time) {
 1106      ostringstream out;
 1107      if (date.empty()) {
 ....
 1162  
 1163  void EpsgramDecoder::moreTitle(TextVisitor& title) const {
 1164:     static map<string, string> titles;
 1165      if (titles.empty()) {
 1166          titles["eps10"]    = "";

/Users/sylvie/git/magics/src/decoders/EpsXmlInput.cc:
  136      }
  137  
  138:     static double scaling;
  139:     static double offset;
  140  
  141      if (node.name() == "param" && node.getAttribute("name") == param_) {

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.cc:
  224  //_____________________________________________________________________
  225  // return the coordinate column map - if it's the first time, populate it
  226: // - this is a static function, and a static member variable
  227  
  228  std::map<std::string, GeoPointsDecoder::eGeoColType> GeoPointsDecoder::coordColMap_;

/Users/sylvie/git/magics/src/decoders/GribDecoder.cc:
   70  
   71  void GribDecoder::version() {
   72:     static bool done = false;
   73      if (done)
   74          return;
   ..
  125  
  126  long computeStep(const GribDecoder& grib, const string& key) {
  127:     static map<string, double> stepUnits;
  128      if (stepUnits.empty()) {
  129          stepUnits["h"]   = 3600;
  ...
 2091  
 2092  protected:
 2093:     static map<string, GribLevelHandler::Builder> map_;
 2094  
 2095      string surface(const string&, const GribDecoder&) const { return ""; }
 ....
 2182      ~SatelliteHandler() {}
 2183      void operator()(TitleField&, vector<string>& title, const GribDecoder& grib) {
 2184:         static map<long, string> names;
 2185          if (names.empty()) {
 2186              names[54]  = "METEOSAT-7";
 ....
 2345  
 2346  
 2347: static SimpleObjectMaker<GribParamCriter, MatchCriteria> gribparamcriter("parameter");
 2348: static SimpleObjectMaker<GribParamHandler, TitleFieldHandler> gribparamhandler("parameter");
 2349: static SimpleObjectMaker<GribBaseDateHandler, TitleFieldHandler> gribbasedatehandler("base_date");
 2350: static SimpleObjectMaker<GribValidDateHandler, TitleFieldHandler> gribvaliddatehandler("valid_date");
 2351: static SimpleObjectMaker<GribStepHandler, TitleFieldHandler> gribstephandler("step");
 2352: static SimpleObjectMaker<GribEpsNumberInfoHandler, TitleFieldHandler> gribepsnumberhandler("eps_number_info");
 2353  
 2354: static SimpleObjectMaker<GribTimeHandler, TitleFieldHandler> gribTimehandler("time");
 2355: static SimpleObjectMaker<GribLevelHandler, TitleFieldHandler> gribLevelhandler("level");
 2356: static SimpleObjectMaker<NewLineHandler, TitleFieldHandler> newlinehandler("newline");
 2357: static SimpleObjectMaker<GribKeyHandler, TitleFieldHandler> gribkeyhandler("gribapi");
 2358  
 2359: static SimpleObjectMaker<GribStreamHandler, TitleFieldHandler> gribstreamhandler("stream");
 2360: static SimpleObjectMaker<GribClassHandler, TitleFieldHandler> gribclasshandler("class");
 2361: static SimpleObjectMaker<GribTypeHandler, TitleFieldHandler> gribtypehandler("type");
 2362: static SimpleObjectMaker<GribLocalDefHandler, TitleFieldHandler> griblocaldefhandler("localdef");
 2363: static SimpleObjectMaker<GribCentreHandler, TitleFieldHandler> gribcentrehandler("centre");
 2364: static SimpleObjectMaker<GribProductHandler, TitleFieldHandler> gribproducthandler("product");
 2365: static SimpleObjectMaker<GribUnitHandler, TitleFieldHandler> gribunithandler("units");
 2366: static SimpleObjectMaker<GribExpverHandler, TitleFieldHandler> gribexpverhandler("expver");
 2367: static SimpleObjectMaker<GribPlotTypeHandler, TitleFieldHandler> gribplottypehandler("plot_type");
 2368: static SimpleObjectMaker<SatelliteHandler, TitleFieldHandler> satellitehandler("satellite");
 2369: static SimpleObjectMaker<ChannelHandler, TitleFieldHandler> channelhandler("channel");
 2370: static SimpleObjectMaker<GribBaseDateHandler, TitleFieldHandler> datehandler("date");
 2371  
 2372  
 2373: static SimpleObjectMaker<GribObsDiagCriter, MatchCriteria> gribobsdiagriter("observationDiagnostic");
 2374: static SimpleObjectMaker<GribObsDiagHandler, TitleFieldHandler> gribobsdiaghandler("observationDiagnostic");
 2375: static SimpleObjectMaker<GribObstatHandler, TitleFieldHandler> gribobstathandler("obstat");
 2376  
 2377  
 2378: static SimpleObjectMaker<GribLocalCriter, MatchCriteria> gribstreamcriter("stream");
 2379: static SimpleObjectMaker<GribLocalCriter, MatchCriteria> gribtypecriter("type");
 2380: static SimpleObjectMaker<GribLocalCriter, MatchCriteria> gribclasscriter("class");
 2381: static SimpleObjectMaker<GribLocalCriter, MatchCriteria> typeOfgeneratingProcess("typeOfGeneratingProcess");
 2382: static SimpleObjectMaker<GribLocalCriter, MatchCriteria> timeRangeIndicator("timeRangeIndicator");
 2383: static SimpleObjectMaker<GribLocalCriter, MatchCriteria> dataType("dataType");
 2384  
 2385  #include "GribRegularInterpretor.h"
 2386: static SimpleObjectMaker<GribRegularInterpretor, GribInterpretor> regular_ll("regular_ll");
 2387: static SimpleObjectMaker<GribReducedLatLonInterpretor, GribInterpretor> reduced_ll("reduced_ll");
 2388: static SimpleObjectMaker<GribRegularGaussianInterpretor, GribInterpretor> regular_gg("regular_gg");
 2389: static SimpleObjectMaker<GribReducedGaussianInterpretor, GribInterpretor> reduced_gg("reduced_gg");
 2390: static SimpleObjectMaker<GribRotatedInterpretor, GribInterpretor> rotated_ll("rotated_ll");
 2391: static SimpleObjectMaker<GribLambertAzimutalInterpretor, GribInterpretor> lambert_azimuthal_equal_area(
 2392      "lambert_azimuthal_equal_area");
 2393: static SimpleObjectMaker<GribLambertInterpretor, GribInterpretor> lambert("lambert");
 2394: static SimpleObjectMaker<GribPolarStereoInterpretor, GribInterpretor> polar("polar_stereographic");
 2395  
 2396  
 2397  #include "GribSatelliteInterpretor.h"
 2398: static SimpleObjectMaker<GribSatelliteInterpretor, GribInterpretor> satellite("space_view");
 2399  

/Users/sylvie/git/magics/src/decoders/GribRegularInterpretor.cc:
   57  
   58  /// @brief The usual PI/180 constant
   59: // static const double DEG_TO_RAD = 0.017453292519943295769236907684886;
   60  /// @brief Earth's quatratic mean radius for WGS-84
   61: static const double EARTH_RADIUS_IN_METERS = 6372797.560856;
   62  
   63  /** @brief Computes the arc, in radian, between two WGS-84 positions.

/Users/sylvie/git/magics/src/decoders/MagDateTime.cc:
  133  #include <locale>
  134  using namespace std;
  135: static std::locale& getLocale() {
  136:     static locale loc = locale::classic();
  137      try {
  138          loc = locale("");

/Users/sylvie/git/magics/src/decoders/NetcdfData.cc:
   27  
   28  
   29: static bool isVariable(int netcdf, int var) {
   30      int dims;
   31      nc_inq_varndims(netcdf, var, &dims);
   ..
  260  
  261      // try to convert the time !
  262:     static map<string, long> factors;
  263      if (factors.empty()) {
  264          factors["hours"] = 3600;
  ...
  384  
  385  
  386: static TypedAccessor<signed char, float> byte_float_accessor(NC_BYTE);
  387: static TypedAccessor<short, float> short_float_accessor(NC_SHORT);
  388: static TypedAccessor<int, float> int_float_accessor(NC_INT);
  389: static TypedAccessor<float, float> float_float_accessor(NC_FLOAT);
  390: static TypedAccessor<double, float> double_float_accessor(NC_FLOAT);
  391  
  392: // static TypedAccessor<nc_byte, double>  byte_double_accessor(NC_BYTE);
  393: static TypedAccessor<signed char, double> byte_double_accessor(NC_BYTE);
  394: static TypedAccessor<short, double> short_double_accessor(NC_SHORT);
  395: static TypedAccessor<int, double> int_double_accessor(NC_INT);
  396: static TypedAccessor<float, double> float_double_accessor(NC_FLOAT);
  397: static TypedAccessor<double, double> double_double_accessor(NC_DOUBLE);
  398  

/Users/sylvie/git/magics/src/decoders/NetcdfGeopointsInterpretor.cc:
   36  
   37  
   38: static void setDim(Netcdf& netcdf, const string& name, vector<double>& values, map<string, string>& first,
   39                     map<string, string>& last) {
   40      try {

/Users/sylvie/git/magics/src/decoders/NetcdfInterpretor.cc:
  135  bool NetcdfInterpretor::reference_date(Netcdf& netcdf, const string& var, const string& refdate, string& basedate,
  136                                         vector<double>& coords, vector<double>& originals) {
  137:     static map<string, double> factors;
  138      if (factors.empty()) {
  139          factors["hours"] = 3600;
  ...
  163      // Step 1 : try to find a attribute long_name = time
  164      // Step 2 : Parse the attribute  units : days since date
  165:     static map<string, double> factors;
  166      if (factors.empty()) {
  167          factors["hours"] = 3600;

/Users/sylvie/git/magics/src/decoders/NetcdfMarsConvention.cc:
   39  }
   40  
   41: static SimpleObjectMaker<NetcdfMarsConvention, NetcdfConvention> netcdf_mars_convention("mars");
   42  

/Users/sylvie/git/magics/src/decoders/NetcdfOrcaInterpretor.cc:
  349  
  350  
  351: static SimpleObjectMaker<NetcdfOrcaInterpretor, NetcdfInterpretor> netcdf_geovalues_interpretor("orca");
  352  

/Users/sylvie/git/magics/src/decoders/ObsDecoder.cc:
  115      BufrFamilyTable() {}
  116      ~BufrFamilyTable() {}
  117:     static const BufrFamily& get(const string& centre) {
  118          const_iterator table = table_.find(centre);
  119          if (table != table_.end())
  ...
  124      }
  125  
  126:     static BufrFamilyTable table_;
  127  };
  128  
  129  
  130: static void XMLCALL startElement(void* userData, const char* name, const char** atts) {
  131      BufrIdentifiers* ident = (BufrIdentifiers*)userData;
  132  
  ...
  139  }
  140  
  141: static void XMLCALL endElement(void*, const char*) {}
  142  
  143  
  144: static void XMLCALL startFamilyElement(void* userData, const char* name, const char** atts) {
  145      BufrFamily* ident = (BufrFamily*)userData;
  146      string token(name);
  ...
  161  }
  162  
  163: static void XMLCALL endFamilyElement(void*, const char*) {}
  164  
  165: static void XMLCALL character(void* userData, const char* s, int len) {
  166      // int *depthPtr = (int*)userData;
  167      BufrFamily* object = (BufrFamily*)userData;
  ...
  293      string descriptor_;
  294      string eccodes_;
  295:     static map<string, string> translator_;
  296  };
  297  map<string, string> BufrAccessor::translator_;
  ...
  392          }
  393      }
  394:     static map<pair<string, string>, string> types_;
  395  };
  396  

/Users/sylvie/git/magics/src/decoders/ThinningMethod.cc:
   88  }
   89  
   90: static SimpleObjectMaker<AutomaticThinningMethod, ThinningMethod> automatic("automatic");
   91: static SimpleObjectMaker<BasicThinningMethod, BasicThinningMethod> basic("basic");
   92: static SimpleObjectMaker<BasicThinningMethod, BasicThinningMethod> data("data");
   93  

/Users/sylvie/git/magics/src/decoders/TileDecoder.cc:
  247      last["y"]  = tostring(y_);
  248      // vector<double> bbox;
  249:     static vector<double> latitudes;
  250:     static vector<double> longitudes;
  251:     static vector<double> values;
  252      vector<int> index;
  253  
  ...
  435      last["y"]  = tostring(y_);
  436  
  437:     static vector<double> bbox;
  438:     static vector<double> latitudes;
  439:     static vector<double> longitudes;
  440  
  441:     static vector<double> dindex;
  442:     static vector<double> distances;
  443  
  444      int nblat = netcdf.getDimension("lat") - 1;

/Users/sylvie/git/magics/src/decoders/TitleTemplate.cc:
   28  using namespace magics;
   29  
   30: static bool ignore_space_;
   31: static void XMLCALL startElement(void* userData, const char* name, const char** atts) {
   32      TitleTemplate* object = (TitleTemplate*)userData;
   33  
   ..
   55  }
   56  
   57: static void XMLCALL endElement(void* userData, const char* name) {
   58      if (string(name) == "title") {
   59          TitleTemplate* object = (TitleTemplate*)userData;
   ..
   66  
   67  
   68: static void XMLCALL character(void* userData, const char* s, int len) {
   69      string data(s, len);
   70  
   ..
   78  }
   79  
   80: static void XMLCALL startData(void*) {
   81      MagLog::dev() << "start data"
   82                    << "\n";
   83  }
   84  
   85: static void XMLCALL endData(void*) {}
   86  
   87  TitleTemplate* TitleTemplate::singleton_ = 0;

/Users/sylvie/git/magics/src/decoders/XYList.cc:
  158  
  159  double offset(const string& val) {
  160:     static map<string, double> offsets;
  161      if (offsets.empty()) {
  162          offsets["hours"]   = 3600;

/Users/sylvie/git/magics/src/drivers/BinaryDriver.cc:
  651  }
  652  
  653: static SimpleObjectMaker<BinaryDriver, BaseDriver> Binary_driver("Binary");
  654  

/Users/sylvie/git/magics/src/drivers/CairoDriver.cc:
 1376  }
 1377  
 1378: static SimpleObjectMaker<CairoDriver, BaseDriver> Cairo_driver("Cairo");
 1379  

/Users/sylvie/git/magics/src/drivers/GDDriver.cc:
  972  }
  973  
  974: static SimpleObjectMaker<GDDriver, BaseDriver> GD_driver("GD");
  975  

/Users/sylvie/git/magics/src/drivers/GeoJsonDriver.cc:
  611  }
  612  
  613: static SimpleObjectMaker<GeoJsonDriver, BaseDriver> GeoJson_driver("GeoJson");
  614  

/Users/sylvie/git/magics/src/drivers/KMLDriver.cc:
 1282  }
 1283  
 1284: static SimpleObjectMaker<KMLDriver, BaseDriver> KML_driver("KML");
 1285  

/Users/sylvie/git/magics/src/drivers/PostScriptDriver.cc:
   33  */
   34  string specialPS(const string& sp) {
   35:     static map<string, string> specialsPS;
   36      if (specialsPS.empty()) {
   37          specialsPS["©"]   = "251";  // copyright
   ..
 1688  }
 1689  
 1690: static SimpleObjectMaker<PostScriptDriver, BaseDriver> PostScript_driver("PostScript");
 1691  

/Users/sylvie/git/magics/src/drivers/QtDriver.cc:
 2334  }
 2335  
 2336: static SimpleObjectMaker<QtDriver, BaseDriver> Qt_driver("Qt");
 2337  

/Users/sylvie/git/magics/src/drivers/SVGDriver.cc:
 1283  }
 1284  
 1285: static SimpleObjectMaker<SVGDriver, BaseDriver> SVG_driver("SVG");
 1286  

/Users/sylvie/git/magics/src/drivers/MgQ/MgQPathItem.cc:
   22  #include <QPainter>
   23  
   24: // static int count=0;
   25  
   26  

/Users/sylvie/git/magics/src/drivers/MgQ/MgQPolylineSetItem.cc:
   22  #include <QPainter>
   23  
   24: // static int count=0;
   25  
   26  

/Users/sylvie/git/magics/src/eckit_readers/fdyntime.cc:
   18  const int firstYear = 1830; /* oldest comparable year ! */
   19  
   20: static int monthLength[]      = {31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31},
   21             dayCount[]         = {0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334, 365};
   22: static const char* weekdays[] = {"Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"};
   23  
   24  //_________________________________________________________________________

/Users/sylvie/git/magics/src/eckit_readers/fstatime.cc:
   16  
   17  
   18: static char charValueString[100];
   19  
   20  

/Users/sylvie/git/magics/src/eckit_readers/MvBufrElementTable.cc:
   52  const std::string& MvBufrElementTable::keyName(int descriptor)  // const
   53  {
   54:     static std::string emptyStr;
   55  
   56      std::map<int, std::string>::iterator it;
   ..
  127  typedef std::map<int, std::string> map_bufr_table;
  128  
  129: static map_bufr_table create_map() {
  130      map_bufr_table map;
  131  

/Users/sylvie/git/magics/src/eckit_readers/MvObs.cc:
   70  #include <unistd.h>
   71  
   72: // Static int used to duplicate stdout and get it back.
   73: static int new_fd = -1;
   74  
   75  const int MAX_BUBOX_KELEM_LIMIT = MAX_KELEM;
   76  
   77: static string MESSED_UP("[messed messages!]");
   78  
   79: static string BBOXNAME("prtbbox.txt");  // for BUPRTBOX output.
   80: static string redirect_dir("");         // For tmp files from print.
   81  
   82  //--------------------------------------------------------
   ..
   84  // (at least in some of the arrays) if new msg has same
   85  // descriptors as previous msg !!!
   86: // Thus static arrays, common to all bufr-objects...
   87  // Added lazy evaluation 980501/vk...
   88  //--------------------------------------------------------
   89: static char* In_CNAMES = 0;  // static char In_CNAMES[ MAX_KELEM ][ 64 ]; //- is not updated if same descriptors
   90: static char* In_CUNITS = 0;  // static char In_CUNITS[ MAX_KELEM ][ 24 ]; //- is not updated if same descriptors
   91: static char* In_CVALS  = 0;  // static char In_CVALS [ MAX_KVALS ][ 80 ]; //+ rest of the arrays always updated
   92: static char* Out_CVALS = 0;  // static char Out_CVALS [ MAX_KVALS ][ 80 ];
   93  
   94: static double* In_VALUES  = 0;  // static double  In_VALUES[ MAX_KVALS ];
   95: static double* Out_VALUES = 0;  // static double Out_VALUES[ MAX_KVALS ];
   96  
   97: static int In_KELEM;
   98: static int In_KVALS;
   99: static int Out_KELEM = -1;
  100  // for BUSEL
  101: static int In_KTDEXL;
  102: static int* In_KTDEXP = 0;  // static int  In_KTDEXP[ MAX_KELEM ];
  103: static int In_KTDLEN;
  104: static int* In_KTDLST = 0;  // static int  In_KTDLST[ MAX_KELEM ];
  105: static int Out_KTDEXL;
  106: static int* Out_KTDEXP = 0;  // static int Out_KTDEXP[ MAX_KELEM ];
  107: static int Out_KTDLEN;
  108: static int* Out_KTDLST = 0;  // static int Out_KTDLST[ MAX_KELEM ];
  109  
  110: static int arraySizeIndex = 0;  // incremented each time we try to allocate a new size of arrays
  111: static int kVals;
  112  
  113  long MvBufr::_bufrIn_ref     = 0;
  ...
  119  //-- These are for BUFR-BOX routines (accessing Feedback info)
  120  
  121: static int myKSUB, myKBOX, myKAPP, myKLEN, myKERR;
  122: static int* myKBOXR   = 0;
  123: static double* myVALS = 0;
  124: static char* myCBOXN  = 0;
  125: static char* myCBOXU  = 0;
  126  
  127  //--------------------------------------------------------
  ...
  168  
  169  // Helper functions
  170: static string intToString(int);
  171: static string floatToString(float);
  172: static void keyToStringMap(map<string, string>&, string, int*, int);
  173: static void keyToStringMap(map<string, string>&, string, float);
  174  
  175  // F
  176: static void TEMPCHECKVALUEDOUBLE(double, double, const string&, long);
  177: static void TEMPCHECKVALUELONG(long, long, bool isLevel = false);
  178: static void TEMPCHECKVALUESTRING(string&, string&);
  179  //______________________________________________________________________
  180  
  ...
  302      fKSEC4 = NULL;
  303  
  304:     //-- lazy evaluation: create static arrays when first needed --
  305      createDataArrays();
  306  }
  ...
  622  //___________________________________________________________________ ExpandDescriptors
  623  void MvBufr ::ExpandDescriptors(int subsetNumber) {
  624:     static int mySubsetSavedValue = 0;
  625  
  626      _lastKnownSubsetValue = subsetNumber;
  ...
 1050    //-- but crashes inside Metview...) => create arrays dynamically, once!
 1051  
 1052:   static int    myKSUB, myKBOX, myKAPP, myKLEN, myKERR;
 1053:   static int*   myKBOXR = 0;
 1054:   static double* myVALS  = 0;
 1055:   static char*      myCBOXN = 0;
 1056:   static char*      myCBOXU = 0;
 1057  #endif
 1058  
 ....
 1794  } descriptorStruct;
 1795  
 1796: static descriptorStruct knownParams[] = {{"z", 10003},  {"p", 10004},     {"ddd", 11001},    {"ff", 11002},
 1797                                           {"u", 11003},  {"v", 11004},     {"w", 11006},      {"T", 12001},
 1798                                           {"Td", 12003}, {"T(2m)", 12004}, {"Td(2m)", 12006}, {"END", 0}};
 ....
 2023    if( _bufr_id != _bufrIn->currentBufrRef() )
 2024    {
 2025:     //-- restriction due to static bufr arrays --
 2026:     cerr << ">>> [MvObs::msg_ok] Static bufr arrays rewritten, not valid any more!" << std::endl;
 2027      return false;
 2028    }
 ....
 4568          return it->second;
 4569  
 4570:     static std::vector<long> emptyVec;
 4571      return emptyVec;
 4572  }
 ....
 4577          return it->second;
 4578  
 4579:     static std::vector<double> emptyVec;
 4580      return emptyVec;
 4581  }
 ....
 5078      std::cout << " Method eraseWhiteSpaceFromStringEnd() BUFRDC implementation" << std::endl;
 5079  
 5080:     static string whitespaces(" \t\f\v\n\r");
 5081      size_t found = str.find_last_not_of(whitespaces);
 5082      if (found != string::npos)

/Users/sylvie/git/magics/src/eckit_readers/MvObsSet.cc:
   49  const int cMSG_TYPE_BUFR_TABLES = 11;
   50  
   51: static std::string WRITE("w");  // I/O mode
   52  
   53  //____________________________________________________________________
   ..
  845  
  846  #ifdef METVIEW
  847: //   static int change_me_with_debugger = 0;
  848  // e  if( mars.debug && ( ( ObsSet->messageNumber() == 1 ) || change_me_with_debugger ) )
  849  // e    current.printAllValues();

/Users/sylvie/git/magics/src/libMagWrapper/MagPlus.cc:
 1187      in("ODB_FILENAME") = path.c_str();
 1188  
 1189:     static map<string, string> types;
 1190      if (types.empty()) {
 1191          types["ODB_GEO_POINTS"]  = "geopoint";
 ....
 1219      in("ODB_FILENAME") = path.c_str();
 1220  
 1221:     static map<string, string> types;
 1222      if (types.empty()) {
 1223          types["ODB_XY_POINTS"]  = "xypoint";
 ....
 1257  
 1258  #ifdef HAVE_NETCDF
 1259: static map<string, string> nctypes;
 1260  
 1261  void checknctypes() {
 ....
 1289  
 1290      in("NETCDF_FILENAME") = path.c_str();
 1291:     static map<string, string> types;
 1292  
 1293  

/Users/sylvie/git/magics/src/oda/OdaDecoder.cc:
   39  
   40  
   41: static int getOdbColumnIndex(odb::Reader::iterator&, const string&);
   42  
   43  int getOdbColumnIndex(odb::Reader::iterator& firstRowIt, const string& colName) {
   ..
  282  }
  283  
  284: static double speed(double x, double y) {
  285      return sqrt(x * x + y * y);
  286  }

/Users/sylvie/git/magics/src/visualisers/Akima474.cc:
   69  double Akima474::regular_row(int i) const {
   70      // Remove later. Why this function is called so many times ???
   71:     // static long itest=0;
   72      // MagLog::debug() << "Akima474 row=" << itest++ << "\n";
   73  
   ..
   84  double Akima474::regular_column(int j) const {
   85      // Remove later. Why this function is called so many times ???
   86:     // static long jtest=0;
   87      // MagLog::debug() << "Akima474 column=" << jtest++ << "\n";
   88  

/Users/sylvie/git/magics/src/visualisers/Akima760.cc:
  134  double Akima760::regular_row(int i) const {
  135      // Remove later. Why this function is called so many times ???
  136:     // static long itest=0;
  137      // MagLog::debug() << "Akima760 row=" << itest++ << "\n";
  138  
  ...
  150  double Akima760::regular_column(int j) const {
  151      // Remove later. Why this function is called so many times ???
  152:     // static long jtest=0;
  153      // MagLog::debug() << "Akima760 column=" << jtest++ << "\n";
  154  

/Users/sylvie/git/magics/src/visualisers/Akima761.cc:
   84  double Akima761<P>::row(int i) const {
   85      // Remove later. Why this function is called so many times ???
   86:     // static long itest=0;
   87      // MagLog::debug() << "Akima760 row=" << itest++ << "\n";
   88  
   ..
   93  double Akima761<P>::column(int j) const {
   94      // Remove later. Why this function is called so many times ???
   95:     // static long jtest=0;
   96      // MagLog::debug() << "Akima760 column=" << jtest++ << "\n";
   97  

/Users/sylvie/git/magics/src/visualisers/AxisType.cc:
   38  }
   39  
   40: static SimpleObjectMaker<AxisType> regular("regular");
   41  

/Users/sylvie/git/magics/src/visualisers/Boundaries.cc:
   64      const Transformation& transformation = task.transformation();
   65  
   66:     static map<string, vector<string> > predefined_list;
   67  
   68  

/Users/sylvie/git/magics/src/visualisers/Cities.cc:
   82  
   83  void Cities::operator()(const map<string, string>&, BasicGraphicsObjectContainer& task) {
   84:     static map<string, Symbol::TextPosition> positions;
   85  
   86      if (positions.empty()) {

/Users/sylvie/git/magics/src/visualisers/ColourSelectionCount.cc:
   45  }
   46  
   47: static SimpleObjectMaker<ColourSelectionCount, ColourSelection> colour_selection_count("count");
   48  

/Users/sylvie/git/magics/src/visualisers/ColourSelectionList.cc:
   43  }
   44  
   45: static SimpleObjectMaker<ColourSelectionList, ColourSelection> colour_selection_list("list");
   46  

/Users/sylvie/git/magics/src/visualisers/Contour.cc:
  201  
  202  
  203: static SimpleObjectMaker<EcChartLibrary, ContourLibrary> ecchart("ecchart");
  204: static SimpleObjectMaker<NoContourLibrary, ContourLibrary> off("off");
  205: static SimpleObjectMaker<WebLibrary, ContourLibrary> style_name("style_name");
  206: static SimpleObjectMaker<WebLibrary, ContourLibrary> ecmwf("ecmwf");
  207  
  208  

/Users/sylvie/git/magics/src/visualisers/EmagramGrid.cc:
   24  EmagramGrid::~EmagramGrid() {}
   25  
   26: static void step(set<double>& values, set<double>& labels, double from, double to, double ref, double step, int freq) {
   27      if (ref > to)
   28          return;

/Users/sylvie/git/magics/src/visualisers/EpsGraph.cc:
 1740  void CdfGraph::setExtended(const string& base) {
 1741      keys_.clear();
 1742:     static vector<pair<string, double>> values = {
 1743          {"min", 0}, {"ten", 10}, {"twenty_five", 25}, {"fifty", 50}, {"seventy_five", 75}, {"ninety", 90}, {"max", 99}};
 1744      for (auto& val : values) {
 ....
 2288  
 2289  protected:
 2290:     static bool first_;
 2291  };
 2292  

/Users/sylvie/git/magics/src/visualisers/GraphShadeStyle.cc:
   77      HatchShadingProperties* shading = new HatchShadingProperties();
   78      if (index_ < 1 || index_ > 6) {
   79:         static bool msg = true;
   80          if (msg) {
   81              msg = false;

/Users/sylvie/git/magics/src/visualisers/Histogram.cc:
   99  
  100  
  101: static double xmin_;
  102: static double xmax_;
  103: static double ymin_;
  104: static double ymax_;
  105: // static double width_;
  106: static double height_;
  107  
  108  

/Users/sylvie/git/magics/src/visualisers/IsoHelper.cc:
   88  }
   89  
   90: static Mutex locklines_;
   91  
   92  void IsoHelper::run() {

/Users/sylvie/git/magics/src/visualisers/IsoPlot.cc:
   37  
   38  
   39: static MutexCond producerMutex_;
   40  
   41  IsoPlot::IsoPlot() {
   ..
  553  
  554  void IsoPlot::isoline(Cell& cell, CellBox* parent) const {
  555:     static int cases[3][3][3] = {{{0, 1, 2}, {3, 4, 5}, {6, 7, 8}},
  556                                   {{9, 10, 11}, {12, 13, 14}, {15, 16, 17}},
  557                                   {{18, 19, 20}, {21, 22, 23}, {24, 25, 0}}};
  ...
 1774  
 1775      bool clip        = false;
 1776:     static int count = 0;
 1777      count++;
 1778  

/Users/sylvie/git/magics/src/visualisers/ObsItemFamily.cc:
  411  }
  412  
  413: static map<int, string> presentweather;
  414  void ObsPresentWeather::operator()(CustomisedPoint& point, ComplexSymbol& symbol) const {
  415      if (!owner_->present_ww_visible_)
  ...
  679    31  MISSING VALUE
  680  */
  681: static map<int, string> pastweather;
  682  void ObsPastWeather::operator()(CustomisedPoint& point, ComplexSymbol& symbol) const {
  683      if (pastweather.empty()) {
  ...
  759  
  760  
  761: static map<int, string> clouds_;
  762  
  763  void ObsCloud::operator()(CustomisedPoint& point, ComplexSymbol& symbol) const {

/Users/sylvie/git/magics/src/visualisers/ObsPlotting.cc:
   35  ObsPlotting::~ObsPlotting() {}
   36  
   37: static int COUNT;
   38  void ObsPlotting::operator()(Data& data, BasicGraphicsObjectContainer& out) {
   39      ObsTable::print();
   ..
   97  
   98  #include "ObsItemFamily.h"
   99: static SimpleObjectMaker<ObsStationTriangle, ObsItem> ObsStationTriangle("obs_station_triangle");
  100: static SimpleObjectMaker<ObsStationRing, ObsItem> ObsStationRing("obs_station_ring");
  101: static SimpleObjectMaker<ObsTimePlot, ObsItem> ObsTimePlot("obs_time_plot");
  102: static SimpleObjectMaker<ObsWind, ObsItem> ObsWind("obs_wind");
  103: static SimpleObjectMaker<ObsCloudAndWind, ObsItem> ObsCloudAndWind("obs_cloud_wind");
  104: static SimpleObjectMaker<ObsTemperature, ObsItem> ObsTemperature("obs_temperature");
  105: static SimpleObjectMaker<ObsPressure, ObsItem> ObsPressure("obs_pressure");
  106: static SimpleObjectMaker<ObsPressureTendency, ObsItem> ObsPressureTendency("obs_pressure_tendency");
  107: static SimpleObjectMaker<ObsDewPoint, ObsItem> ObsDewPoint("obs_dewpoint");
  108: static SimpleObjectMaker<ObsVisibility, ObsItem> ObsVisibility("obs_visibility");
  109: static SimpleObjectMaker<ObsPresentWeather, ObsItem> ObsPresentWeather("obs_present_weather");
  110: static SimpleObjectMaker<ObsPressureLevel, ObsItem> ObsPressureLevel("obs_pressure_level");
  111: static SimpleObjectMaker<ObsIdentifier, ObsItem> ObsIdentifier("obs_identification");
  112: static SimpleObjectMaker<ObsCloud, ObsItem> ObsCloud("obs_cloud");
  113: static SimpleObjectMaker<ObsPastWeather, ObsItem> ObsPastWeather("obs_past_weather");
  114: static SimpleObjectMaker<ObsHeight, ObsItem> ObsHeight("obs_height");
  115: static SimpleObjectMaker<ObsThickness, ObsItem> ObsThicjness("obs_thickness");
  116: static SimpleObjectMaker<ObsDemoItem1, ObsItem> ObsDemo1("obs_demo_item_1");
  117: static SimpleObjectMaker<ObsDemoItem2, ObsItem> ObsDemo2("obs_demo_item_2");
  118: static SimpleObjectMaker<ObsWave, ObsItem> Wave("obs_wave_period_height");
  119: static SimpleObjectMaker<ObsEra, ObsItem> Era("obs_era");
  120: static SimpleObjectMaker<ObsSeaTemperature, ObsItem> SeaTempe("obs_sea_temperature");
  121: static SimpleObjectMaker<ObsNumber, ObsItem> Number("obs_number");
  122: static SimpleObjectMaker<ObsString, ObsItem> String("obs_string");
  123  

/Users/sylvie/git/magics/src/visualisers/ObsTable.cc:
   34  
   35  
   36: static void XMLCALL startElement(void* userData, const char* name, const char** atts) {
   37      ObsTable* table = (ObsTable*)userData;
   38      map<string, string> def;
   ..
   44  }
   45  
   46: static void XMLCALL endElement(void*, const char*) {}
   47  
   48  ObsTable* ObsTable::table_ = 0;

/Users/sylvie/git/magics/src/visualisers/SegmentJoiner.cc:
   24  
   25  class Hasher {
   26:     static const hash_t MIN_BITS = 8;   // 256 entryes
   27:     static const hash_t MAX_BITS = 22;  // 4194304 entries
   28  
   29      hash_t bits_;
   ..
  208  };
  209  
  210: static Segment* ok(vector<Segment*>& v) {
  211      for (vector<Segment*>::iterator j = v.begin(); j != v.end(); ++j)
  212          if ((*j)->ok_)
  ...
  215  }
  216  
  217: static void fill_after(Segment* s, deque<Segment>& p) {
  218      while (s) {
  219          if (!s->ok_)
  ...
  234  }
  235  
  236: static void fill_before(Segment* s, deque<Segment>& p) {
  237      while (s) {
  238          if (!s->ok_)
  ...
  252  }
  253  
  254: static double compute(SegmentJoiner::SegList& v, list<deque<Segment> >& lines) {
  255      // magics::Timer total("SegmentJoiner:: compute", "");
  256  

/Users/sylvie/git/magics/src/visualisers/SkewtGrid.cc:
   24  SkewtGrid::~SkewtGrid() {}
   25  
   26: static void step(set<double>& values, set<double>& labels, double from, double to, double ref, double step, int freq) {
   27      if (ref > to)
   28          return;

/Users/sylvie/git/magics/src/visualisers/Streamlines.cc:
  207          }
  208  
  209:         static const PaperPoint NOPT(1.0e50, 1.0e50);
  210:         static const double MARGIN = 0.05;
  211  
  212          double width = maxpcx - minpcx;

/Users/sylvie/git/magics/src/visualisers/SymbolAdvancedTableMode.cc:
   72  void SymbolAdvancedTableMode::adjust(double min, double max, bool scale, const Transformation& transformation,
   73                                       double scaling) {
   74:     static map<string, TextSymbol::TextPosition> texthandlers;
   75      if (texthandlers.empty()) {
   76          texthandlers["none"]   = TextSymbol::M_NONE;

/Users/sylvie/git/magics/src/visualisers/SymbolMode.cc:
   64  
   65  void SymbolIndividualMode::properties() const {
   66:     static map<string, TextSymbol::TextPosition> texthandlers;
   67      if (texthandlers.empty()) {
   68          texthandlers["none"]   = TextSymbol::M_NONE;

/Users/sylvie/git/magics/src/visualisers/WindPlotting.cc:
  152  
  153  Colour& WindPlotting::advanced(Colour& colour, double u, double v, double col) {
  154:     static Colour x("red");
  155  
  156      x = map_.find(value(u, v, col), colour);

/Users/sylvie/git/magics/src/web/GeoJSon.cc:
   21  class GeoObject {
   22  public:
   23:     static int index_;
   24      GeoObject() : parent_(0), shift_(false) {
   25          ostringstream n;
   ..
  292  
  293  }  // namespace magics
  294: static SimpleObjectMaker<GeoPoint, GeoObject> Point("Point");
  295: static SimpleObjectMaker<GeoFeature, GeoObject> FeatureCollection("FeatureCollection");
  296: static SimpleObjectMaker<GeoObject> Feature("Feature");
  297: static SimpleObjectMaker<MultiLineString, GeoObject> MultiLineString("MultiLineString");
  298  
  299  GeoJSon::GeoJSon() : current_(0), parent_(0), matrix_(0) {

/Users/sylvie/git/magics/src/web/WrepJSon.cc:
   22  using namespace json_spirit;
   23  
   24: static map<char, string> specials;
   25  
   26  WrepJSon::WrepJSon() :
   ..
  244  
  245  string binding(const string& version, const string& key) {
  246:     static map<string, map<string, string>> bindings;
  247      if (bindings.empty()) {
  248          bindings["v0"] = map<string, string>();

/Users/sylvie/build/magics/src/params/Akima474MethodAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<double> contour_akima_x_resolution("contour_akima_x_resolution", 1.5, "");
  108: static MagicsParameter<double> contour_akima_y_resolution("contour_akima_y_resolution", 1.5, "");
  109  

/Users/sylvie/build/magics/src/params/Akima760MethodAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<double> contour_akima_x_resolution("contour_akima_x_resolution", 1.5, "");
  108: static MagicsParameter<double> contour_akima_y_resolution("contour_akima_y_resolution", 1.5, "");
  109  

/Users/sylvie/build/magics/src/params/ArrowPlottingAttributes.cc:
  188  }
  189  
  190: static MagicsParameter<double> wind_arrow_calm_indicator_size("wind_arrow_calm_indicator_size", 0.3, "");
  191: static MagicsParameter<double> wind_arrow_calm_below("wind_arrow_calm_below", 0.5, "");
  192: static MagicsParameter<int> wind_arrow_head_shape("wind_arrow_head_shape", 0, "");
  193: static MagicsParameter<double> wind_arrow_head_ratio("wind_arrow_head_ratio", 0.3, "");
  194: static MagicsParameter<double> wind_arrow_max_speed("wind_arrow_max_speed", 1.0e+21, "");
  195: static MagicsParameter<double> wind_arrow_min_speed("wind_arrow_min_speed", -1.0e+21, "");
  196: static MagicsParameter<int> wind_arrow_thickness("wind_arrow_thickness", 1, "");
  197: static MagicsParameter<string> wind_arrow_unit_system("wind_arrow_unit_system", "paper", "");
  198: static MagicsParameter<double> wind_arrow_unit_velocity("wind_arrow_unit_velocity", 25.0, "");
  199: static MagicsParameter<string> wind_arrow_legend_text("wind_arrow_legend_text", "m/s", "");
  200: static MagicsParameter<double> wind_arrow_fixed_velocity("wind_arrow_fixed_velocity", 0.0, "");
  201: static MagicsParameter<string> wind_arrow_calm_indicator("wind_arrow_calm_indicator", "off", ""); 
  202: static MagicsParameter<string> wind_arrow_colour("wind_arrow_colour", "blue", ""); 
  203: static MagicsParameter<string> wind_arrow_origin_position("wind_arrow_origin_position", "tail", ""); 
  204: static MagicsParameter<string> wind_arrow_style("wind_arrow_style", "solid", ""); 
  205  #include "CalmIndicator.h"
  206: static SimpleObjectMaker<CalmIndicator , CalmIndicator> calm_CalmIndicator("calm");
  207: static SimpleObjectMaker<CalmIndicator , CalmIndicator> on_CalmIndicator("on");
  208: static SimpleObjectMaker<NoCalmIndicator , CalmIndicator> nocalm_NoCalmIndicator("nocalm");
  209: static SimpleObjectMaker<NoCalmIndicator , CalmIndicator> off_NoCalmIndicator("off");
  210  

/Users/sylvie/build/magics/src/params/AxisAttributes.cc:
  427  }
  428  
  429: static MagicsParameter<string> axis_orientation("axis_orientation", "horizontal", "");
  430: static MagicsParameter<string> axis_position("axis_position", "automatic", "");
  431: static MagicsParameter<string> axis_line("axis_line", "on", "");
  432: static MagicsParameter<int> axis_line_thickness("axis_line_thickness", 2, "");
  433: static MagicsParameter<string> axis_grid("axis_grid", "off", "");
  434: static MagicsParameter<int> axis_grid_thickness("axis_grid_thickness", 1, "");
  435: static MagicsParameter<string> axis_minor_grid("axis_minor_grid", "off", "");
  436: static MagicsParameter<int> axis_minor_grid_thickness("axis_minor_grid_thickness", 1, "");
  437: static MagicsParameter<double> axis_grid_reference_level("axis_grid_reference_level", INT_MAX, "");
  438: static MagicsParameter<int> axis_grid_reference_thickness("axis_grid_reference_thickness", 2, "");
  439: static MagicsParameter<string> axis_title("axis_title", "on", "");
  440: static MagicsParameter<string> axis_title_text("axis_title_text", "", "");
  441: static MagicsParameter<string> axis_title_orientation("axis_title_orientation", "parallel", "");
  442: static MagicsParameter<double> axis_title_height("axis_title_height", 0.4, "");
  443: static MagicsParameter<string> axis_title_font("axis_title_font", "sansserif", "");
  444: static MagicsParameter<string> axis_title_font_style("axis_title_font_style", "normal", "");
  445: static MagicsParameter<string> axis_tick("axis_tick", "on", "");
  446: static MagicsParameter<double> axis_tick_interval("axis_tick_interval", INT_MAX, "");
  447: static MagicsParameter<doublearray> axis_tick_position_list("axis_tick_position_list", floatarray(), "");
  448: static MagicsParameter<string> axis_tick_position("axis_tick_position", "out", "");
  449: static MagicsParameter<double> axis_tick_size("axis_tick_size", 0.175, "");
  450: static MagicsParameter<int> axis_tick_thickness("axis_tick_thickness", 2, "");
  451: static MagicsParameter<string> axis_tick_label("axis_tick_label", "on", "");
  452: static MagicsParameter<string> axis_tick_label_type("axis_tick_label_type", "number", "");
  453: static MagicsParameter<int> axis_tick_label_frequency("axis_tick_label_frequency", 1, "");
  454: static MagicsParameter<string> axis_tick_label_first("axis_tick_label_first", "on", "");
  455: static MagicsParameter<string> axis_tick_label_last("axis_tick_label_last", "on", "");
  456: static MagicsParameter<string> axis_tick_label_position("axis_tick_label_position", "on_tick", "");
  457: static MagicsParameter<string> axis_tick_label_orientation("axis_tick_label_orientation", "horizontal", "");
  458: static MagicsParameter<string> axis_tick_label_font("axis_tick_label_font", "sansserif", "");
  459: static MagicsParameter<string> axis_tick_label_font_style("axis_tick_label_font_style", "normal", "");
  460: static MagicsParameter<double> axis_tick_label_height("axis_tick_label_height", 0.3, "");
  461: static MagicsParameter<stringarray> axis_tick_label_list("axis_tick_label_list", stringarray(), "");
  462: static MagicsParameter<string> axis_tick_label_format("axis_tick_label_format", "(automatic)", "");
  463: static MagicsParameter<string> axis_minor_tick("axis_minor_tick", "off", "");
  464: static MagicsParameter<int> axis_minor_tick_count("axis_minor_tick_count", 2, "");
  465: static MagicsParameter<int> axis_minor_tick_thickness("axis_minor_tick_thickness", 1, "");
  466: static MagicsParameter<string> axis_tip_title("axis_tip_title", "off", "");
  467: static MagicsParameter<string> axis_tip_title_text("axis_tip_title_text", "", "");
  468: static MagicsParameter<double> axis_tip_title_height("axis_tip_title_height", 0.4, "");
  469: static MagicsParameter<string> axis_tip_title_quality("axis_tip_title_quality", "medium", "");
  470: static MagicsParameter<string> axis_type("axis_type", "regular", ""); 
  471: static MagicsParameter<string> axis_line_colour("axis_line_colour", "automatic", ""); 
  472: static MagicsParameter<string> axis_line_style("axis_line_style", "solid", ""); 
  473: static MagicsParameter<string> axis_grid_colour("axis_grid_colour", "black", ""); 
  474: static MagicsParameter<string> axis_grid_line_style("axis_grid_line_style", "solid", ""); 
  475: static MagicsParameter<string> axis_minor_grid_colour("axis_minor_grid_colour", "black", ""); 
  476: static MagicsParameter<string> axis_minor_grid_line_style("axis_minor_grid_line_style", "solid", ""); 
  477: static MagicsParameter<string> axis_grid_reference_colour("axis_grid_reference_colour", "automatic", ""); 
  478: static MagicsParameter<string> axis_grid_reference_line_style("axis_grid_reference_line_style", "solid", ""); 
  479: static MagicsParameter<string> axis_title_colour("axis_title_colour", "automatic", ""); 
  480: static MagicsParameter<string> axis_tick_colour("axis_tick_colour", "automatic", ""); 
  481: static MagicsParameter<string> axis_tick_label_colour("axis_tick_label_colour", "automatic", ""); 
  482: static MagicsParameter<string> axis_minor_tick_colour("axis_minor_tick_colour", "automatic", ""); 
  483: static MagicsParameter<string> axis_tip_title_colour("axis_tip_title_colour", "automatic", ""); 
  484  #include "AxisMethod.h"
  485  #include "DateAxis.h"
  486: static SimpleObjectMaker<AxisMethod , AxisMethod> regular_AxisMethod("regular");
  487: static SimpleObjectMaker<PositionListAxisMethod , AxisMethod> position_list_PositionListAxisMethod("position_list");
  488: static SimpleObjectMaker<LogarithmicAxisMethod , AxisMethod> logarithmic_LogarithmicAxisMethod("logarithmic");
  489: static SimpleObjectMaker<DateAxisMethod , AxisMethod> date_DateAxisMethod("date");
  490: static SimpleObjectMaker<HyperAxisMethod , AxisMethod> geoline_HyperAxisMethod("geoline");
  491  

/Users/sylvie/build/magics/src/params/BarAttributes.cc:
  181  }
  182  
  183: static MagicsParameter<string> graph_bar_orientation("graph_bar_orientation", "vertical", "");
  184: static MagicsParameter<double> graph_bar_width("graph_bar_width", -1, "");
  185: static MagicsParameter<string> graph_bar_style("graph_bar_style", "bar", "");
  186: static MagicsParameter<int> graph_bar_line_thickness("graph_bar_line_thickness", 1, "");
  187: static MagicsParameter<string> graph_bar_clipping("graph_bar_clipping", "on", "");
  188: static MagicsParameter<stringarray> graph_bar_annotation("graph_bar_annotation", stringarray(), "");
  189: static MagicsParameter<double> graph_bar_annotation_font_size("graph_bar_annotation_font_size", 0.25, "");
  190: static MagicsParameter<double> graph_bar_minimum_value("graph_bar_minimum_value", INT_MAX, "");
  191: static MagicsParameter<string> graph_bar_justification("graph_bar_justification", "centre", ""); 
  192: static MagicsParameter<string> graph_bar_line_style("graph_bar_line_style", "solid", ""); 
  193: static MagicsParameter<string> graph_bar_line_colour("graph_bar_line_colour", "black", ""); 
  194: static MagicsParameter<string> graph_bar_colour("graph_bar_colour", "blue", ""); 
  195: static MagicsParameter<string> graph_shade("graph_shade", "on", ""); 
  196: static MagicsParameter<string> graph_bar_annotation_font_colour("graph_bar_annotation_font_colour", "red", ""); 
  197  #include "GraphShade.h"
  198: static SimpleObjectMaker<GraphShade , GraphShade> shading_GraphShade("shading");
  199: static SimpleObjectMaker<GraphShade , GraphShade> on_GraphShade("on");
  200: static SimpleObjectMaker<NoGraphShade , GraphShade> noshading_NoGraphShade("noshading");
  201: static SimpleObjectMaker<NoGraphShade , GraphShade> off_NoGraphShade("off");
  202  

/Users/sylvie/build/magics/src/params/BaseDriverAttributes.cc:
  189  }
  190  
  191: static MagicsParameter<string> output_title("output_title", "Magics plot", "");
  192: static MagicsParameter<string> output_name("output_name", "", "");
  193: static MagicsParameter<string> output_name_first_page_number("output_name_first_page_number", "on", "");
  194: static MagicsParameter<int> output_name_first_page_number_value("output_name_first_page_number_value", 1, "");
  195: static MagicsParameter<string> output_fullname("output_fullname", "", "");
  196: static MagicsParameter<string> output_legacy_name("output_legacy_name", "", "");
  197: static MagicsParameter<int> output_file_minimal_width("output_file_minimal_width", 1, "");
  198: static MagicsParameter<string> output_file_separator("output_file_separator", ".", "");
  199: static MagicsParameter<string> output_creator("output_creator", "", "");
  200: static MagicsParameter<string> output_mgb_template("output_mgb_template", "", "");
  201: static MagicsParameter<string> output_debug("output_debug", "off", "");
  202: static MagicsParameter<int> output_width("output_width", 800, "");
  203: static MagicsParameter<string> output_filelist("output_filelist", "off", "");
  204: static MagicsParameter<string> output_filelist_name("output_filelist_name", "magics_outputs.lst", "");
  205: static MagicsParameter<string> output_filelist_reset("output_filelist_reset", "off", "");
  206: static MagicsParameter<intarray> output_frame_list("output_frame_list", intarray(), "");
  207  

/Users/sylvie/build/magics/src/params/BinaryObjectAttributes.cc:
  135  }
  136  
  137: static MagicsParameter<string> mgb_filename("mgb_filename", "", "");
  138: static MagicsParameter<double> mgb_transparency("mgb_transparency", 1.0, "");
  139: static MagicsParameter<double> mgb_x("mgb_x", 0, "");
  140: static MagicsParameter<double> mgb_y("mgb_y", 0, "");
  141: static MagicsParameter<double> mgb_width("mgb_width", 100, "");
  142: static MagicsParameter<double> mgb_height("mgb_height", 100, "");
  143: static MagicsParameter<int> mgb_blur_radius("mgb_blur_radius", -1, "");
  144  

/Users/sylvie/build/magics/src/params/BinningObjectAttributes.cc:
  177  }
  178  
  179: static MagicsParameter<string> binning_x_method("binning_x_method", "count", "");
  180: static MagicsParameter<double> binning_x_min_value("binning_x_min_value", -1.0e+21, "");
  181: static MagicsParameter<double> binning_x_max_value("binning_x_max_value", 1.0e+21, "");
  182: static MagicsParameter<int> binning_x_count("binning_x_count", 10, "");
  183: static MagicsParameter<doublearray> binning_x_list("binning_x_list", floatarray(), "");
  184: static MagicsParameter<double> binning_x_interval("binning_x_interval", 10, "");
  185: static MagicsParameter<double> binning_x_reference("binning_x_reference", 0, "");
  186: static MagicsParameter<string> binning_y_method("binning_y_method", "count", "");
  187: static MagicsParameter<double> binning_y_min_value("binning_y_min_value", -1.0e+21, "");
  188: static MagicsParameter<double> binning_y_max_value("binning_y_max_value", 1.0e+21, "");
  189: static MagicsParameter<int> binning_y_count("binning_y_count", 10, "");
  190: static MagicsParameter<doublearray> binning_y_list("binning_y_list", floatarray(), "");
  191: static MagicsParameter<double> binning_y_interval("binning_y_interval", 10, "");
  192: static MagicsParameter<double> binning_y_reference("binning_y_reference", 0, "");
  193  

/Users/sylvie/build/magics/src/params/BothValuePlotMethodAttributes.cc:
  125  }
  126  
  127: static MagicsParameter<double> contour_grid_value_marker_height("contour_grid_value_marker_height", 0.25, "");
  128: static MagicsParameter<string> contour_grid_value_marker_qual("contour_grid_value_marker_qual", "low", "");
  129: static MagicsParameter<int> contour_grid_value_marker_index("contour_grid_value_marker_index", 3, "");
  130: static MagicsParameter<string> contour_grid_value_position("contour_grid_value_position", "top", "");
  131: static MagicsParameter<string> contour_grid_value_marker_colour("contour_grid_value_marker_colour", "red", ""); 
  132  

/Users/sylvie/build/magics/src/params/BoundariesAttributes.cc:
  167  }
  168  
  169: static MagicsParameter<int> map_boundaries_thickness("map_boundaries_thickness", 1, "");
  170: static MagicsParameter<string> map_disputed_boundaries("map_disputed_boundaries", "on", "");
  171: static MagicsParameter<int> map_disputed_boundaries_thickness("map_disputed_boundaries_thickness", 1, "");
  172: static MagicsParameter<string> map_administrative_boundaries("map_administrative_boundaries", "off", "");
  173: static MagicsParameter<stringarray> map_administrative_boundaries_countries_list("map_administrative_boundaries_countries_list", stringarray(), "");
  174: static MagicsParameter<int> map_administrative_boundaries_thickness("map_administrative_boundaries_thickness", 1, "");
  175: static MagicsParameter<string> map_boundaries_style("map_boundaries_style", "solid", ""); 
  176: static MagicsParameter<string> map_boundaries_colour("map_boundaries_colour", "grey", ""); 
  177: static MagicsParameter<string> map_disputed_boundaries_style("map_disputed_boundaries_style", "dash", ""); 
  178: static MagicsParameter<string> map_disputed_boundaries_colour("map_disputed_boundaries_colour", "automatic", ""); 
  179: static MagicsParameter<string> map_administrative_boundaries_style("map_administrative_boundaries_style", "dash", ""); 
  180: static MagicsParameter<string> map_administrative_boundaries_colour("map_administrative_boundaries_colour", "automatic", ""); 
  181  

/Users/sylvie/build/magics/src/params/BoxPlotBoxAttributes.cc:
  126  }
  127  
  128: static MagicsParameter<double> boxplot_box_width("boxplot_box_width", 1.0, "");
  129: static MagicsParameter<string> boxplot_box_colour("boxplot_box_colour", "sky", ""); 
  130: static MagicsParameter<string> boxplot_box_border("boxplot_box_border", "on", ""); 
  131: static MagicsParameter<string> boxplot_median("boxplot_median", "on", ""); 
  132  #include "BoxPlotItem.h"
  133  #include "BoxPlotBasicItem.h"
  134: static SimpleObjectMaker<BoxPlotBoxBorder , NoBoxPlotBoxBorder> border_BoxPlotBoxBorder("border");
  135: static SimpleObjectMaker<BoxPlotBoxBorder , NoBoxPlotBoxBorder> on_BoxPlotBoxBorder("on");
  136: static SimpleObjectMaker<NoBoxPlotBoxBorder , NoBoxPlotBoxBorder> noborder_NoBoxPlotBoxBorder("noborder");
  137: static SimpleObjectMaker<NoBoxPlotBoxBorder , NoBoxPlotBoxBorder> off_NoBoxPlotBoxBorder("off");
  138: static SimpleObjectMaker<BoxPlotMedian , NoBoxPlotMedian> median_BoxPlotMedian("median");
  139: static SimpleObjectMaker<BoxPlotMedian , NoBoxPlotMedian> on_BoxPlotMedian("on");
  140: static SimpleObjectMaker<NoBoxPlotMedian , NoBoxPlotMedian> nomedian_NoBoxPlotMedian("nomedian");
  141: static SimpleObjectMaker<NoBoxPlotMedian , NoBoxPlotMedian> off_NoBoxPlotMedian("off");
  142  

/Users/sylvie/build/magics/src/params/BoxPlotBoxBorderAttributes.cc:
  112  }
  113  
  114: static MagicsParameter<int> boxplot_box_border_thickness("boxplot_box_border_thickness", 1, "");
  115: static MagicsParameter<string> boxplot_box_border_colour("boxplot_box_border_colour", "navy", ""); 
  116: static MagicsParameter<string> boxplot_box_border_line_style("boxplot_box_border_line_style", "solid", ""); 
  117  

/Users/sylvie/build/magics/src/params/BoxPlotDecoderAttributes.cc:
  135  }
  136  
  137: static MagicsParameter<doublearray> boxplot_positions("boxplot_positions", floatarray(), "");
  138: static MagicsParameter<stringarray> boxplot_date_positions("boxplot_date_positions", stringarray(), "");
  139: static MagicsParameter<doublearray> boxplot_minimum_values("boxplot_minimum_values", floatarray(), "");
  140: static MagicsParameter<doublearray> boxplot_maximum_values("boxplot_maximum_values", floatarray(), "");
  141: static MagicsParameter<doublearray> boxplot_box_upper_values("boxplot_box_upper_values", floatarray(), "");
  142: static MagicsParameter<doublearray> boxplot_box_lower_values("boxplot_box_lower_values", floatarray(), "");
  143: static MagicsParameter<doublearray> boxplot_median_values("boxplot_median_values", floatarray(), "");
  144  

/Users/sylvie/build/magics/src/params/BoxPlotMedianAttributes.cc:
  112  }
  113  
  114: static MagicsParameter<int> boxplot_median_thickness("boxplot_median_thickness", 3, "");
  115: static MagicsParameter<string> boxplot_median_colour("boxplot_median_colour", "navy", ""); 
  116: static MagicsParameter<string> boxplot_median_line_style("boxplot_median_line_style", "solid", ""); 
  117  

/Users/sylvie/build/magics/src/params/BoxPlotVisualiserAttributes.cc:
  113  }
  114  
  115: static MagicsParameter<string> boxplot_box("boxplot_box", "on", ""); 
  116: static MagicsParameter<string> boxplot_whisker("boxplot_whisker", "line", ""); 
  117  #include "BoxPlotItem.h"
  118  #include "BoxPlotBasicItem.h"
  119: static SimpleObjectMaker<BoxPlotBox , NoBoxPlotBox> box_BoxPlotBox("box");
  120: static SimpleObjectMaker<BoxPlotBox , NoBoxPlotBox> on_BoxPlotBox("on");
  121: static SimpleObjectMaker<NoBoxPlotBox , NoBoxPlotBox> noBox_NoBoxPlotBox("noBox");
  122: static SimpleObjectMaker<NoBoxPlotBox , NoBoxPlotBox> off_NoBoxPlotBox("off");
  123: static SimpleObjectMaker<BoxPlotWhiskerBox , NoBoxPlotWhisker> whiskerbox_BoxPlotWhiskerBox("whiskerbox");
  124: static SimpleObjectMaker<BoxPlotWhiskerBox , NoBoxPlotWhisker> box_BoxPlotWhiskerBox("box");
  125: static SimpleObjectMaker<NoBoxPlotWhisker , NoBoxPlotWhisker> nowhisker_NoBoxPlotWhisker("nowhisker");
  126: static SimpleObjectMaker<NoBoxPlotWhisker , NoBoxPlotWhisker> off_NoBoxPlotWhisker("off");
  127: static SimpleObjectMaker<BoxPlotWhiskerLine , NoBoxPlotWhisker> whiskerline_BoxPlotWhiskerLine("whiskerline");
  128: static SimpleObjectMaker<BoxPlotWhiskerLine , NoBoxPlotWhisker> line_BoxPlotWhiskerLine("line");
  129  

/Users/sylvie/build/magics/src/params/BoxPlotWhiskerBorderAttributes.cc:
  114  }
  115  
  116: static MagicsParameter<int> boxplot_whisker_box_border_thickness("boxplot_whisker_box_border_thickness", 1, "");
  117: static MagicsParameter<string> boxplot_whisker_box_border_colour("boxplot_whisker_box_border_colour", "navy", ""); 
  118: static MagicsParameter<string> boxplot_whisker_box_border_line_style("boxplot_whisker_box_border_line_style", "solid", ""); 
  119  

/Users/sylvie/build/magics/src/params/BoxPlotWhiskerBoxAttributes.cc:
  117  }
  118  
  119: static MagicsParameter<double> boxplot_whisker_box_width("boxplot_whisker_box_width", 0.25, "");
  120: static MagicsParameter<string> boxplot_whisker_box_colour("boxplot_whisker_box_colour", "sky", ""); 
  121: static MagicsParameter<string> boxplot_whisker_box_border("boxplot_whisker_box_border", "on", ""); 
  122  #include "BoxPlotItem.h"
  123  #include "BoxPlotBasicItem.h"
  124: static SimpleObjectMaker<BoxPlotWhiskerBorder , NoBoxPlotWhiskerBorder> border_BoxPlotWhiskerBorder("border");
  125: static SimpleObjectMaker<BoxPlotWhiskerBorder , NoBoxPlotWhiskerBorder> on_BoxPlotWhiskerBorder("on");
  126: static SimpleObjectMaker<NoBoxPlotWhiskerBorder , NoBoxPlotWhiskerBorder> noborder_NoBoxPlotWhiskerBorder("noborder");
  127: static SimpleObjectMaker<NoBoxPlotWhiskerBorder , NoBoxPlotWhiskerBorder> off_NoBoxPlotWhiskerBorder("off");
  128  

/Users/sylvie/build/magics/src/params/BoxPlotWhiskerLineAttributes.cc:
  113  }
  114  
  115: static MagicsParameter<int> boxplot_whisker_line_thickness("boxplot_whisker_line_thickness", 3, "");
  116: static MagicsParameter<string> boxplot_whisker_line_colour("boxplot_whisker_line_colour", "navy", ""); 
  117: static MagicsParameter<string> boxplot_whisker_line_style("boxplot_whisker_line_style", "solid", ""); 
  118  

/Users/sylvie/build/magics/src/params/CairoDriverAttributes.cc:
  118  }
  119  
  120: static MagicsParameter<string> output_cairo_transparent_background("output_cairo_transparent_background", "off", "");
  121: static MagicsParameter<string> output_cairo_antialias("output_cairo_antialias", "on", "");
  122: static MagicsParameter<string> output_cairo_palette("output_cairo_palette", "off", "");
  123: static MagicsParameter<int> output_geotiff_quality("output_geotiff_quality", 1, "");
  124  

/Users/sylvie/build/magics/src/params/CalculateColourTechniqueAttributes.cc:
  115  }
  116  
  117: static MagicsParameter<string> contour_shade_colour_direction("contour_shade_colour_direction", "anti_clockwise", "");
  118: static MagicsParameter<string> contour_shade_max_level_colour("contour_shade_max_level_colour", "blue", ""); 
  119: static MagicsParameter<string> contour_shade_min_level_colour("contour_shade_min_level_colour", "red", ""); 
  120  

/Users/sylvie/build/magics/src/params/CapeBoxAttributes.cc:
  171  }
  172  
  173: static MagicsParameter<double> cape_box_border_thickness("cape_box_border_thickness", 2, "");
  174: static MagicsParameter<int> cape_marker_index("cape_marker_index", 15, "");
  175: static MagicsParameter<double> cape_marker_height("cape_marker_height", 0.5, "");
  176: static MagicsParameter<double> cape_box_thickness("cape_box_thickness", 1, "");
  177: static MagicsParameter<double> cape_box_width("cape_box_width", 1, "");
  178: static MagicsParameter<double> cape_text_font_size("cape_text_font_size", 0.5, "");
  179: static MagicsParameter<string> cape_control_colour("cape_control_colour", "red", ""); 
  180: static MagicsParameter<string> cape_hres_colour("cape_hres_colour", "blue", ""); 
  181: static MagicsParameter<string> cape_box_colour("cape_box_colour", "black", ""); 
  182: static MagicsParameter<string> cape_box_border_colour("cape_box_border_colour", "black", ""); 
  183: static MagicsParameter<string> cape_marker_colour("cape_marker_colour", "black", ""); 
  184: static MagicsParameter<string> cape_box_line_style("cape_box_line_style", "solid", ""); 
  185: static MagicsParameter<string> cape_text_font_colour("cape_text_font_colour", "black", ""); 
  186  

/Users/sylvie/build/magics/src/params/CartesianTransformationAttributes.cc:
  113  }
  114  
  115: static MagicsParameter<string> subpage_x_axis_type("subpage_x_axis_type", "regular", ""); 
  116: static MagicsParameter<string> subpage_y_axis_type("subpage_y_axis_type", "regular", ""); 
  117  #include "Coordinate.h"
  118: static SimpleObjectMaker<XRegularCoordinate , XCoordinate> x_regular_XRegularCoordinate("x_regular");
  119: static SimpleObjectMaker<XRegularCoordinate , XCoordinate> regular_XRegularCoordinate("regular");
  120: static SimpleObjectMaker<XDateCoordinate , XCoordinate> x_date_XDateCoordinate("x_date");
  121: static SimpleObjectMaker<XDateCoordinate , XCoordinate> date_XDateCoordinate("date");
  122: static SimpleObjectMaker<XHyperCoordinate , XCoordinate> x_hyper_XHyperCoordinate("x_hyper");
  123: static SimpleObjectMaker<XHyperCoordinate , XCoordinate> geoline_XHyperCoordinate("geoline");
  124: static SimpleObjectMaker<XLogarithmicCoordinate , XCoordinate> x_logarithmic_XLogarithmicCoordinate("x_logarithmic");
  125: static SimpleObjectMaker<XLogarithmicCoordinate , XCoordinate> logarithmic_XLogarithmicCoordinate("logarithmic");
  126: static SimpleObjectMaker<YRegularCoordinate , YCoordinate> y_regular_YRegularCoordinate("y_regular");
  127: static SimpleObjectMaker<YRegularCoordinate , YCoordinate> regular_YRegularCoordinate("regular");
  128: static SimpleObjectMaker<YDateCoordinate , YCoordinate> y_date_YDateCoordinate("y_date");
  129: static SimpleObjectMaker<YDateCoordinate , YCoordinate> date_YDateCoordinate("date");
  130: static SimpleObjectMaker<YHyperCoordinate , YCoordinate> y_hyper_YHyperCoordinate("y_hyper");
  131: static SimpleObjectMaker<YHyperCoordinate , YCoordinate> geoline_YHyperCoordinate("geoline");
  132: static SimpleObjectMaker<YLogarithmicCoordinate , YCoordinate> y_logarithmic_YLogarithmicCoordinate("y_logarithmic");
  133: static SimpleObjectMaker<YLogarithmicCoordinate , YCoordinate> logarithmic_YLogarithmicCoordinate("logarithmic");
  134  

/Users/sylvie/build/magics/src/params/CdfGraphAttributes.cc:
  135  }
  136  
  137: static MagicsParameter<string> cdf_graph_type("cdf_graph_type", "medium", "");
  138: static MagicsParameter<stringarray> cdf_lines_colour_array("cdf_lines_colour_array", stringarray(), "");
  139: static MagicsParameter<stringarray> cdf_lines_style_array("cdf_lines_style_array", stringarray(), "");
  140: static MagicsParameter<intarray> cdf_lines_thickness_array("cdf_lines_thickness_array", intarray(), "");
  141: static MagicsParameter<int> cdf_clim_line_thickness("cdf_clim_line_thickness", 4, "");
  142: static MagicsParameter<string> cdf_clim_line_colour("cdf_clim_line_colour", "black", ""); 
  143: static MagicsParameter<string> cdf_clim_line_style("cdf_clim_line_style", "solid", ""); 
  144  

/Users/sylvie/build/magics/src/params/CellShadingAttributes.cc:
  114  }
  115  
  116: static MagicsParameter<double> contour_shade_cell_resolution("contour_shade_cell_resolution", 10, "");
  117: static MagicsParameter<string> contour_shade_cell_method("contour_shade_cell_method", "nearest", "");
  118: static MagicsParameter<string> contour_shade_cell_resolution_method("contour_shade_cell_resolution_method", "classic", "");
  119  

/Users/sylvie/build/magics/src/params/CitiesAttributes.cc:
  153  }
  154  
  155: static MagicsParameter<string> map_cities_unit_system("map_cities_unit_system", "percent", "");
  156: static MagicsParameter<string> map_cities_font("map_cities_font", "sansserif", "");
  157: static MagicsParameter<string> map_cities_font_style("map_cities_font_style", "normal", "");
  158: static MagicsParameter<string> map_cities_text_blanking("map_cities_text_blanking", "on", "");
  159: static MagicsParameter<double> map_cities_font_size("map_cities_font_size", 2.5, "");
  160: static MagicsParameter<string> map_cities_name_position("map_cities_name_position", "above", "");
  161: static MagicsParameter<string> map_cities_marker("map_cities_marker", "plus", "");
  162: static MagicsParameter<double> map_cities_marker_height("map_cities_marker_height", 0.7, "");
  163: static MagicsParameter<string> map_cities_font_colour("map_cities_font_colour", "navy", ""); 
  164: static MagicsParameter<string> map_cities_marker_colour("map_cities_marker_colour", "evergreen", ""); 
  165  

/Users/sylvie/build/magics/src/params/ClassicMtgDecoderAttributes.cc:
  171  }
  172  
  173: static MagicsParameter<string> metgram_database("metgram_database", "/vol/epsgram/data/spotbase/epsdb", "");
  174: static MagicsParameter<string> metgram_parameter("metgram_parameter", "", "");
  175: static MagicsParameter<double> metgram_latitude("metgram_latitude", 0, "");
  176: static MagicsParameter<double> metgram_parameter_scaling_factor("metgram_parameter_scaling_factor", 1, "");
  177: static MagicsParameter<double> metgram_parameter_offset("metgram_parameter_offset", 0, "");
  178: static MagicsParameter<string> metgram_parameter_title("metgram_parameter_title", "", "");
  179: static MagicsParameter<double> metgram_longitude("metgram_longitude", 0, "");
  180: static MagicsParameter<string> metgram_date("metgram_date", "-1", "");
  181: static MagicsParameter<string> metgram_time("metgram_time", "0000", "");
  182: static MagicsParameter<string> metgram_long_title("metgram_long_title", "off", "");
  183: static MagicsParameter<string> metgram_station_name("metgram_station_name", "", "");
  184: static MagicsParameter<double> metgram_station_height("metgram_station_height", -1., "");
  185: static MagicsParameter<string> metgram_temperature_correction("metgram_temperature_correction", "yes", "");
  186  

/Users/sylvie/build/magics/src/params/CoastlinesAttributes.cc:
  129  }
  130  
  131: static MagicsParameter<string> map_coastline_general_style("map_coastline_general_style", "", "");
  132: static MagicsParameter<string> map_coastline("map_coastline", "on", ""); 
  133: static MagicsParameter<string> map_grid("map_grid", "on", ""); 
  134: static MagicsParameter<string> map_label("map_label", "on", ""); 
  135  #include "CoastPlotting.h"
  136  #include "GridPlotting.h"
  137  #include "LabelPlotting.h"
  138: static SimpleObjectMaker<CoastPlotting , NoCoastPlotting> coast_CoastPlotting("coast");
  139: static SimpleObjectMaker<CoastPlotting , NoCoastPlotting> on_CoastPlotting("on");
  140: static SimpleObjectMaker<NoCoastPlotting , NoCoastPlotting> nocoast_NoCoastPlotting("nocoast");
  141: static SimpleObjectMaker<NoCoastPlotting , NoCoastPlotting> off_NoCoastPlotting("off");
  142: static SimpleObjectMaker<GridPlotting , NoGridPlotting> grid_GridPlotting("grid");
  143: static SimpleObjectMaker<GridPlotting , NoGridPlotting> on_GridPlotting("on");
  144: static SimpleObjectMaker<NoGridPlotting , NoGridPlotting> nogrid_NoGridPlotting("nogrid");
  145: static SimpleObjectMaker<NoGridPlotting , NoGridPlotting> off_NoGridPlotting("off");
  146: static SimpleObjectMaker<LabelPlotting , NoLabelPlotting> label_LabelPlotting("label");
  147: static SimpleObjectMaker<LabelPlotting , NoLabelPlotting> on_LabelPlotting("on");
  148: static SimpleObjectMaker<NoLabelPlotting , NoLabelPlotting> nolabel_NoLabelPlotting("nolabel");
  149: static SimpleObjectMaker<NoLabelPlotting , NoLabelPlotting> off_NoLabelPlotting("off");
  150  

/Users/sylvie/build/magics/src/params/CoastPlottingAttributes.cc:
  112  }
  113  
  114: static MagicsParameter<int> map_coastline_thickness("map_coastline_thickness", 1, "");
  115: static MagicsParameter<string> map_coastline_colour("map_coastline_colour", "black", ""); 
  116: static MagicsParameter<string> map_coastline_style("map_coastline_style", "solid", ""); 
  117  

/Users/sylvie/build/magics/src/params/ContinuousLegendMethodAttributes.cc:
   99  }
  100  
  101: static MagicsParameter<int> legend_label_frequency("legend_label_frequency", 1, "");
  102  

/Users/sylvie/build/magics/src/params/ContourAttributes.cc:
  175  }
  176  
  177: static MagicsParameter<string> legend("legend", "off", "");
  178: static MagicsParameter<double> contour_interpolation_floor("contour_interpolation_floor", -INT_MAX, "");
  179: static MagicsParameter<double> contour_interpolation_ceiling("contour_interpolation_ceiling", INT_MAX, "");
  180: static MagicsParameter<string> contour_automatic_setting("contour_automatic_setting", "off", "");
  181: static MagicsParameter<string> contour_style_name("contour_style_name", "", "");
  182: static MagicsParameter<string> contour_metadata_only("contour_metadata_only", "off", "");
  183: static MagicsParameter<string> contour_automatic_library_path("contour_automatic_library_path", "", "");
  184: static MagicsParameter<string> contour("contour", "on", ""); 
  185: static MagicsParameter<string> contour_method("contour_method", "automatic", ""); 
  186: static MagicsParameter<string> contour_hilo("contour_hilo", "off", ""); 
  187: static MagicsParameter<string> contour_grid_value_plot("contour_grid_value_plot", "off", ""); 
  188  #include "IsoPlot.h"
  189  #include "AutomaticContourMethod.h"
  ...
  193  #include "HiLo.h"
  194  #include "ValuePlot.h"
  195: static SimpleObjectMaker<IsoPlot , IsoPlot> isoline_IsoPlot("isoline");
  196: static SimpleObjectMaker<IsoPlot , IsoPlot> on_IsoPlot("on");
  197: static SimpleObjectMaker<NoIsoPlot , IsoPlot> noisoline_NoIsoPlot("noisoline");
  198: static SimpleObjectMaker<NoIsoPlot , IsoPlot> off_NoIsoPlot("off");
  199: static SimpleObjectMaker<AutomaticContourMethod , ContourMethod> automatic_AutomaticContourMethod("automatic");
  200: static SimpleObjectMaker<ContourMethod , ContourMethod> linear_ContourMethod("linear");
  201: static SimpleObjectMaker<Akima760Method , ContourMethod> akima760_Akima760Method("akima760");
  202: static SimpleObjectMaker<Akima474Method , ContourMethod> akima474_Akima474Method("akima474");
  203: static SimpleObjectMaker<HiLo , HiLoBase> hilo_HiLo("hilo");
  204: static SimpleObjectMaker<HiLo , HiLoBase> on_HiLo("on");
  205: static SimpleObjectMaker<NoHiLo , HiLoBase> nohilo_NoHiLo("nohilo");
  206: static SimpleObjectMaker<NoHiLo , HiLoBase> off_NoHiLo("off");
  207: static SimpleObjectMaker<HighHiLo , HiLoBase> high_HighHiLo("high");
  208: static SimpleObjectMaker<HighHiLo , HiLoBase> hi_HighHiLo("hi");
  209: static SimpleObjectMaker<LowHiLo , HiLoBase> low_LowHiLo("low");
  210: static SimpleObjectMaker<LowHiLo , HiLoBase> lo_LowHiLo("lo");
  211: static SimpleObjectMaker<ValuePlot , ValuePlotBase> gridvalues_ValuePlot("gridvalues");
  212: static SimpleObjectMaker<ValuePlot , ValuePlotBase> on_ValuePlot("on");
  213: static SimpleObjectMaker<NoValuePlot , ValuePlotBase> nogridvalues_NoValuePlot("nogridvalues");
  214: static SimpleObjectMaker<NoValuePlot , ValuePlotBase> off_NoValuePlot("off");
  215  

/Users/sylvie/build/magics/src/params/ContourLibraryAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<string> contour_predefined_setting("contour_predefined_setting", "", "");
  108: static MagicsParameter<string> contour_automatic_library_path("contour_automatic_library_path", "", "");
  109  

/Users/sylvie/build/magics/src/params/CountSelectionTypeAttributes.cc:
  113  }
  114  
  115: static MagicsParameter<int> contour_level_count("contour_level_count", 10, "");
  116: static MagicsParameter<int> contour_level_tolerance("contour_level_tolerance", 2, "");
  117: static MagicsParameter<double> contour_reference_level("contour_reference_level", 0.0, "");
  118  

/Users/sylvie/build/magics/src/params/CurveAreaAttributes.cc:
  103  }
  104  
  105: static MagicsParameter<string> graph_shade("graph_shade", "on", ""); 
  106  #include "GraphShade.h"
  107: static SimpleObjectMaker<GraphShade , GraphShade> shading_GraphShade("shading");
  108: static SimpleObjectMaker<GraphShade , GraphShade> on_GraphShade("on");
  109: static SimpleObjectMaker<NoGraphShade , GraphShade> noshading_NoGraphShade("noshading");
  110: static SimpleObjectMaker<NoGraphShade , GraphShade> off_NoGraphShade("off");
  111  

/Users/sylvie/build/magics/src/params/CurveAttributes.cc:
  297  }
  298  
  299: static MagicsParameter<string> graph_line("graph_line", "on", "");
  300: static MagicsParameter<int> graph_line_thickness("graph_line_thickness", 1, "");
  301: static MagicsParameter<string> graph_symbol("graph_symbol", "off", "");
  302: static MagicsParameter<int> graph_symbol_marker_index("graph_symbol_marker_index", 3, "");
  303: static MagicsParameter<double> graph_symbol_height("graph_symbol_height", 0.2, "");
  304: static MagicsParameter<string> graph_symbol_outline("graph_symbol_outline", "off", "");
  305: static MagicsParameter<int> graph_symbol_outline_thickness("graph_symbol_outline_thickness", 1, "");
  306: static MagicsParameter<double> graph_x_suppress_below("graph_x_suppress_below", LLONG_MIN, "");
  307: static MagicsParameter<double> graph_x_suppress_above("graph_x_suppress_above", LLONG_MAX, "");
  308: static MagicsParameter<double> graph_y_suppress_below("graph_y_suppress_below", LLONG_MIN, "");
  309: static MagicsParameter<double> graph_y_suppress_above("graph_y_suppress_above", LLONG_MAX, "");
  310: static MagicsParameter<string> graph_missing_data_mode("graph_missing_data_mode", "ignore", "");
  311: static MagicsParameter<int> graph_missing_data_thickness("graph_missing_data_thickness", 1, "");
  312: static MagicsParameter<string> graph_curve_method("graph_curve_method", "straight", "");
  313: static MagicsParameter<string> graph_style_setting("graph_style_setting", "simple", "");
  314: static MagicsParameter<string> graph_line_style_variable_name("graph_line_style_variable_name", "", "");
  315: static MagicsParameter<stringarray> graph_line_style_value_list("graph_line_style_value_list", stringarray(), "");
  316: static MagicsParameter<stringarray> graph_line_style_list("graph_line_style_list", stringarray(), "");
  317: static MagicsParameter<string> graph_colour_variable_name("graph_colour_variable_name", "", "");
  318: static MagicsParameter<stringarray> graph_colour_value_list("graph_colour_value_list", stringarray(), "");
  319: static MagicsParameter<stringarray> graph_colour_list("graph_colour_list", stringarray(), "");
  320: static MagicsParameter<string> graph_thickness_variable_name("graph_thickness_variable_name", "", "");
  321: static MagicsParameter<stringarray> graph_thickness_value_list("graph_thickness_value_list", stringarray(), "");
  322: static MagicsParameter<intarray> graph_thickness_list("graph_thickness_list", intarray(), "");
  323: static MagicsParameter<string> graph_line_style("graph_line_style", "solid", ""); 
  324: static MagicsParameter<string> graph_line_colour("graph_line_colour", "blue", ""); 
  325: static MagicsParameter<string> graph_symbol_colour("graph_symbol_colour", "red", ""); 
  326: static MagicsParameter<string> graph_symbol_outline_colour("graph_symbol_outline_colour", "black", ""); 
  327: static MagicsParameter<string> graph_symbol_outline_style("graph_symbol_outline_style", "solid", ""); 
  328: static MagicsParameter<string> graph_missing_data_style("graph_missing_data_style", "dash", ""); 
  329: static MagicsParameter<string> graph_missing_data_colour("graph_missing_data_colour", "red", ""); 
  330: static MagicsParameter<string> graph_line_style_list_policy("graph_line_style_list_policy", "lastone", ""); 
  331: static MagicsParameter<string> graph_colour_list_policy("graph_colour_list_policy", "lastone", ""); 
  332: static MagicsParameter<string> graph_thickness_list_policy("graph_thickness_list_policy", "lastone", ""); 
  333  

/Users/sylvie/build/magics/src/params/DateAxisMethodAttributes.cc:
  244  }
  245  
  246: static MagicsParameter<string> axis_date_type("axis_date_type", "days", "");
  247: static MagicsParameter<string> axis_years_label("axis_years_label", "on", "");
  248: static MagicsParameter<string> axis_years_label_font("axis_years_label_font", "sansserif", "");
  249: static MagicsParameter<string> axis_years_label_font_style("axis_years_label_font_style", "normal", "");
  250: static MagicsParameter<double> axis_years_label_height("axis_years_label_height", 0.2, "");
  251: static MagicsParameter<string> axis_months_label("axis_months_label", "on", "");
  252: static MagicsParameter<string> axis_months_label_composition("axis_months_label_composition", "three", "");
  253: static MagicsParameter<string> axis_months_label_font("axis_months_label_font", "sansserif", "");
  254: static MagicsParameter<string> axis_months_label_font_style("axis_months_label_font_style", "normal", "");
  255: static MagicsParameter<double> axis_months_label_height("axis_months_label_height", 0.2, "");
  256: static MagicsParameter<string> axis_days_label("axis_days_label", "both", "");
  257: static MagicsParameter<string> axis_days_label_composition("axis_days_label_composition", "three", "");
  258: static MagicsParameter<int> axis_days_label_position("axis_days_label_position", 12, "");
  259: static MagicsParameter<string> axis_days_label_font("axis_days_label_font", "sansserif", "");
  260: static MagicsParameter<string> axis_days_label_font_style("axis_days_label_font_style", "normal", "");
  261: static MagicsParameter<double> axis_days_label_height("axis_days_label_height", 0.2, "");
  262: static MagicsParameter<string> axis_hours_label("axis_hours_label", "off", "");
  263: static MagicsParameter<string> axis_hours_label_font("axis_hours_label_font", "sansserif", "");
  264: static MagicsParameter<string> axis_hours_label_font_style("axis_hours_label_font_style", "normal", "");
  265: static MagicsParameter<double> axis_hours_label_height("axis_hours_label_height", 0.2, "");
  266: static MagicsParameter<string> axis_years_label_colour("axis_years_label_colour", "automatic", ""); 
  267: static MagicsParameter<string> axis_months_label_colour("axis_months_label_colour", "automatic", ""); 
  268: static MagicsParameter<string> axis_days_label_colour("axis_days_label_colour", "black", ""); 
  269: static MagicsParameter<string> axis_days_sunday_label_colour("axis_days_sunday_label_colour", "red", ""); 
  270: static MagicsParameter<string> axis_hours_label_colour("axis_hours_label_colour", "black", ""); 
  271  

/Users/sylvie/build/magics/src/params/DateGribLoopStepAttributes.cc:
  110  }
  111  
  112: static MagicsParameter<double> grib_loop_step_span("grib_loop_step_span", 3, "");
  113: static MagicsParameter<string> grib_file_address_mode("grib_file_address_mode", "record", ""); 
  114  #include "GribAddressMode.h"
  115: static SimpleObjectMaker<GribAddressRecordMode , GribAddressMode> record_GribAddressRecordMode("record");
  116: static SimpleObjectMaker<GribAddressByteMode , GribAddressMode> byte_offset_GribAddressByteMode("byte_offset");
  117  

/Users/sylvie/build/magics/src/params/DotGraphShadeStyleAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<int> graph_shade_dot_density("graph_shade_dot_density", 20, "");
  108: static MagicsParameter<double> graph_shade_dot_size("graph_shade_dot_size", 0.02, "");
  109  

/Users/sylvie/build/magics/src/params/DotPolyShadingMethodAttributes.cc:
  115  }
  116  
  117: static MagicsParameter<double> contour_shade_dot_size("contour_shade_dot_size", 0.02, "");
  118: static MagicsParameter<double> contour_shade_max_level_density("contour_shade_max_level_density", 50.0, "");
  119: static MagicsParameter<double> contour_shade_min_level_density("contour_shade_min_level_density", 1.0, "");
  120  

/Users/sylvie/build/magics/src/params/EfiDataDecoderAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<string> efi_filename("efi_filename", "", "");
  108: static MagicsParameter<int> efi_record("efi_record", 0, "");
  109  

/Users/sylvie/build/magics/src/params/EfigramDecoderAttributes.cc:
  201  }
  202  
  203: static MagicsParameter<string> efi_root_database("efi_root_database", "", "");
  204: static MagicsParameter<string> efi_legend_root_database("efi_legend_root_database", "", "");
  205: static MagicsParameter<string> efi_clim_root_database("efi_clim_root_database", "", "");
  206: static MagicsParameter<stringarray> efi_dates("efi_dates", stringarray(), "");
  207: static MagicsParameter<string> efi_clim_parameter("efi_clim_parameter", "", "");
  208: static MagicsParameter<string> efi_clim_date("efi_clim_date", "", "");
  209: static MagicsParameter<int> efi_clim_step("efi_clim_step", 36, "");
  210: static MagicsParameter<intarray> efi_steps("efi_steps", intarray(), "");
  211: static MagicsParameter<string> efi_parameter("efi_parameter", "", "");
  212: static MagicsParameter<string> efi_long_title("efi_long_title", "off", "");
  213: static MagicsParameter<string> efi_title("efi_title", "off", "");
  214: static MagicsParameter<double> efi_latitude("efi_latitude", 0, "");
  215: static MagicsParameter<double> efi_longitude("efi_longitude", 0, "");
  216: static MagicsParameter<string> efi_legend("efi_legend", "on", "");
  217: static MagicsParameter<stringarray> efi_legend_colour_list("efi_legend_colour_list", stringarray(), "");
  218: static MagicsParameter<string> efi_legend_box_type("efi_legend_box_type", "both", "");
  219: static MagicsParameter<int> efi_legend_normal_thickness("efi_legend_normal_thickness", 4, "");
  220: static MagicsParameter<string> efi_legend_normal_colour("efi_legend_normal_colour", "black", ""); 
  221  

/Users/sylvie/build/magics/src/params/EfiGraphAttributes.cc:
  159  }
  160  
  161: static MagicsParameter<stringarray> efi_box_colour_array("efi_box_colour_array", stringarray(), "");
  162: static MagicsParameter<int> efi_box_border_thickness("efi_box_border_thickness", 1, "");
  163: static MagicsParameter<int> efi_normal_thickness("efi_normal_thickness", 4, "");
  164: static MagicsParameter<string> efi_font("efi_font", "sansserif", "");
  165: static MagicsParameter<double> efi_font_size("efi_font_size", 0.25, "");
  166: static MagicsParameter<string> efi_font_style("efi_font_style", "", "");
  167: static MagicsParameter<string> efi_box_border_colour("efi_box_border_colour", "black", ""); 
  168: static MagicsParameter<string> efi_box_border_line_style("efi_box_border_line_style", "solid", ""); 
  169: static MagicsParameter<string> efi_normal_colour("efi_normal_colour", "black", ""); 
  170: static MagicsParameter<string> efi_normal_line_style("efi_normal_line_style", "solid", ""); 
  171: static MagicsParameter<string> efi_font_colour("efi_font_colour", "black", ""); 
  172  

/Users/sylvie/build/magics/src/params/EfiJSonAttributes.cc:
  141  }
  142  
  143: static MagicsParameter<string> efijson_input_filename("efijson_input_filename", "", "");
  144: static MagicsParameter<string> efi_long_title("efi_long_title", "off", "");
  145: static MagicsParameter<string> efi_title("efi_title", "off", "");
  146: static MagicsParameter<string> efi_legend("efi_legend", "on", "");
  147: static MagicsParameter<stringarray> efi_legend_colour_list("efi_legend_colour_list", stringarray(), "");
  148: static MagicsParameter<string> efi_legend_box_type("efi_legend_box_type", "both", "");
  149: static MagicsParameter<int> efi_legend_normal_thickness("efi_legend_normal_thickness", 4, "");
  150: static MagicsParameter<string> efi_legend_normal_colour("efi_legend_normal_colour", "black", ""); 
  151  

/Users/sylvie/build/magics/src/params/EmagramAttributes.cc:
  135  }
  136  
  137: static MagicsParameter<double> x_min("x_min", 0, "");
  138: static MagicsParameter<string> subpage_x_automatic("subpage_x_automatic", "off", "");
  139: static MagicsParameter<string> subpage_y_automatic("subpage_y_automatic", "off", "");
  140: static MagicsParameter<double> x_max("x_max", 100, "");
  141: static MagicsParameter<double> y_min("y_min", 0, "");
  142: static MagicsParameter<double> y_max("y_max", 100, "");
  143: static MagicsParameter<double> thermo_annotation_width("thermo_annotation_width", 25, "");
  144  

/Users/sylvie/build/magics/src/params/EpsBufrAttributes.cc:
  183  }
  184  
  185: static MagicsParameter<string> epsbufr_input_filename("epsbufr_input_filename", "", "");
  186: static MagicsParameter<string> epsbufr_title("epsbufr_title", "", "");
  187: static MagicsParameter<string> epsbufr_parameter_title("epsbufr_parameter_title", "", "");
  188: static MagicsParameter<string> epsbufr_information("epsbufr_information", "on", "");
  189: static MagicsParameter<string> epsbufr_short_title("epsbufr_short_title", "on", "");
  190: static MagicsParameter<int> epsbufr_parameter_descriptor("epsbufr_parameter_descriptor", 0, "");
  191: static MagicsParameter<int> epsbufr_parameter_2_descriptor("epsbufr_parameter_2_descriptor", 0, "");
  192: static MagicsParameter<string> epsbufr_accumulated_parameter("epsbufr_accumulated_parameter", "off", "");
  193: static MagicsParameter<string> epsbufr_station_name("epsbufr_station_name", "", "");
  194: static MagicsParameter<double> epsbufr_station_latitude("epsbufr_station_latitude", 0, "");
  195: static MagicsParameter<double> epsbufr_station_longitude("epsbufr_station_longitude", 0, "");
  196: static MagicsParameter<double> epsbufr_parameter_scaling_factor("epsbufr_parameter_scaling_factor", 1, "");
  197: static MagicsParameter<double> epsbufr_parameter_offset_factor("epsbufr_parameter_offset_factor", 0, "");
  198: static MagicsParameter<double> epsbufr_y_axis_percentile("epsbufr_y_axis_percentile", 1, "");
  199: static MagicsParameter<double> epsbufr_y_axis_threshold("epsbufr_y_axis_threshold", 50, "");
  200  

/Users/sylvie/build/magics/src/params/EpsCloudAttributes.cc:
  106  }
  107  
  108: static MagicsParameter<string> eps_rose_cloud_colour("eps_rose_cloud_colour", "black", ""); 
  109: static MagicsParameter<string> eps_rose_cloud_border_colour("eps_rose_cloud_border_colour", "none", ""); 
  110  

/Users/sylvie/build/magics/src/params/EpsDirectionAttributes.cc:
  118  }
  119  
  120: static MagicsParameter<string> eps_direction_keyword("eps_direction_keyword", "forecast", "");
  121: static MagicsParameter<int> eps_direction_line_thickness("eps_direction_line_thickness", 1, "");
  122: static MagicsParameter<string> eps_direction_line_colour("eps_direction_line_colour", "red", ""); 
  123: static MagicsParameter<string> eps_direction_line_style("eps_direction_line_style", "solid", ""); 
  124  

/Users/sylvie/build/magics/src/params/EpsgramDecoderAttributes.cc:
  225  }
  226  
  227: static MagicsParameter<stringarray> eps_title("eps_title", stringarray(), "");
  228: static MagicsParameter<string> eps_type("eps_type", "eps10", "");
  229: static MagicsParameter<string> eps_database("eps_database", "/vol/epsgram/data/spotbase/epsdb", "");
  230: static MagicsParameter<string> eps_title_text("eps_title_text", "EPS Meteogram", "");
  231: static MagicsParameter<string> eps_parameter("eps_parameter", "", "");
  232: static MagicsParameter<string> eps_parameter_title("eps_parameter_title", "", "");
  233: static MagicsParameter<double> eps_latitude("eps_latitude", 0, "");
  234: static MagicsParameter<double> eps_longitude("eps_longitude", 0, "");
  235: static MagicsParameter<double> eps_parameter_hour_shift("eps_parameter_hour_shift", 0, "");
  236: static MagicsParameter<double> eps_parameter_scaling_factor("eps_parameter_scaling_factor", 1, "");
  237: static MagicsParameter<double> eps_parameter_offset_factor("eps_parameter_offset_factor", 0, "");
  238: static MagicsParameter<string> eps_date("eps_date", "-1", "");
  239: static MagicsParameter<string> eps_time("eps_time", "0000", "");
  240: static MagicsParameter<string> eps_long_title("eps_long_title", "off", "");
  241: static MagicsParameter<string> eps_long_title_station("eps_long_title_station", "on", "");
  242: static MagicsParameter<string> eps_long_title_height("eps_long_title_height", "on", "");
  243: static MagicsParameter<string> eps_long_title_point("eps_long_title_point", "on", "");
  244: static MagicsParameter<string> eps_station_name("eps_station_name", "", "");
  245: static MagicsParameter<double> eps_station_height("eps_station_height", INT_MAX, "");
  246: static MagicsParameter<string> eps_temperature_correction("eps_temperature_correction", "yes", "");
  247: static MagicsParameter<double> eps_y_axis_percentile("eps_y_axis_percentile", 1, "");
  248: static MagicsParameter<double> eps_y_axis_threshold("eps_y_axis_threshold", 50, "");
  249  

/Users/sylvie/build/magics/src/params/EpsGraphAttributes.cc:
  309  }
  310  
  311: static MagicsParameter<string> eps_font("eps_font", "sansserif", "");
  312: static MagicsParameter<double> eps_font_size("eps_font_size", 0.25, "");
  313: static MagicsParameter<string> eps_font_style("eps_font_style", "", "");
  314: static MagicsParameter<int> eps_box_shift("eps_box_shift", 0, "");
  315: static MagicsParameter<stringarray> eps_box_quantiles_colour("eps_box_quantiles_colour", stringarray(), "");
  316: static MagicsParameter<int> eps_box_border_thickness("eps_box_border_thickness", 3, "");
  317: static MagicsParameter<int> eps_box_median_thickness("eps_box_median_thickness", 3, "");
  318: static MagicsParameter<double> eps_maximum("eps_maximum", INT_MAX, "");
  319: static MagicsParameter<string> eps_maximum_font("eps_maximum_font", "sansserif", "");
  320: static MagicsParameter<string> eps_maximum_font_style("eps_maximum_font_style", "normal", "");
  321: static MagicsParameter<double> eps_maximum_font_size("eps_maximum_font_size", 0.25, "");
  322: static MagicsParameter<double> eps_box_width("eps_box_width", -1, "");
  323: static MagicsParameter<string> eps_whisker("eps_whisker", "on", "");
  324: static MagicsParameter<string> eps_legend_resolution("eps_legend_resolution", "truncature", "");
  325: static MagicsParameter<string> eps_legend_control_text("eps_legend_control_text", "", "");
  326: static MagicsParameter<double> eps_legend_font_size("eps_legend_font_size", 0.3, "");
  327: static MagicsParameter<string> eps_legend_forecast_text("eps_legend_forecast_text", "", "");
  328: static MagicsParameter<string> eps_deterministic("eps_deterministic", "on", "");
  329: static MagicsParameter<int> eps_deterministic_line_thickness("eps_deterministic_line_thickness", 2, "");
  330: static MagicsParameter<string> eps_deterministic_legend_text("eps_deterministic_legend_text", "High Resolution", "");
  331: static MagicsParameter<string> eps_control("eps_control", "on", "");
  332: static MagicsParameter<int> eps_control_line_thickness("eps_control_line_thickness", 2, "");
  333: static MagicsParameter<string> eps_control_legend_text("eps_control_legend_text", "ENS Control", "");
  334: static MagicsParameter<string> legend("legend", "on", "");
  335: static MagicsParameter<string> eps_grey_legend("eps_grey_legend", "on", "");
  336: static MagicsParameter<string> eps_font_colour("eps_font_colour", "blue", ""); 
  337: static MagicsParameter<string> eps_box_colour("eps_box_colour", "cyan", ""); 
  338: static MagicsParameter<string> eps_right_box_colour("eps_right_box_colour", "red", ""); 
  339: static MagicsParameter<string> eps_left_box_colour("eps_left_box_colour", "blue", ""); 
  340: static MagicsParameter<string> eps_box_border_colour("eps_box_border_colour", "black", ""); 
  341: static MagicsParameter<string> eps_box_median_colour("eps_box_median_colour", "black", ""); 
  342: static MagicsParameter<string> eps_maximum_font_colour("eps_maximum_font_colour", "red", ""); 
  343: static MagicsParameter<string> eps_deterministic_line_colour("eps_deterministic_line_colour", "blue", ""); 
  344: static MagicsParameter<string> eps_deterministic_line_style("eps_deterministic_line_style", "solid", ""); 
  345: static MagicsParameter<string> eps_control_line_colour("eps_control_line_colour", "red", ""); 
  346: static MagicsParameter<string> eps_control_line_style("eps_control_line_style", "dash", ""); 
  347  

/Users/sylvie/build/magics/src/params/EpsPlumeAttributes.cc:
  220  }
  221  
  222: static MagicsParameter<string> eps_plume_method("eps_plume_method", "time_serie", "");
  223: static MagicsParameter<string> eps_plume_legend("eps_plume_legend", "on", "");
  224: static MagicsParameter<string> eps_plume_members("eps_plume_members", "on", "");
  225: static MagicsParameter<int> eps_plume_line_thickness("eps_plume_line_thickness", 1, "");
  226: static MagicsParameter<string> eps_plume_forecast("eps_plume_forecast", "on", "");
  227: static MagicsParameter<int> eps_plume_forecast_line_thickness("eps_plume_forecast_line_thickness", 5, "");
  228: static MagicsParameter<string> eps_plume_control("eps_plume_control", "on", "");
  229: static MagicsParameter<int> eps_plume_control_line_thickness("eps_plume_control_line_thickness", 5, "");
  230: static MagicsParameter<string> eps_plume_median("eps_plume_median", "off", "");
  231: static MagicsParameter<int> eps_plume_median_line_thickness("eps_plume_median_line_thickness", 5, "");
  232: static MagicsParameter<string> eps_plume_shading("eps_plume_shading", "off", "");
  233: static MagicsParameter<doublearray> eps_plume_shading_level_list("eps_plume_shading_level_list", floatarray(), "");
  234: static MagicsParameter<stringarray> eps_plume_shading_colour_list("eps_plume_shading_colour_list", stringarray(), "");
  235: static MagicsParameter<string> eps_plume_line_colour("eps_plume_line_colour", "magenta", ""); 
  236: static MagicsParameter<string> eps_plume_line_style("eps_plume_line_style", "solid", ""); 
  237: static MagicsParameter<string> eps_plume_forecast_line_colour("eps_plume_forecast_line_colour", "cyan", ""); 
  238: static MagicsParameter<string> eps_plume_forecast_line_style("eps_plume_forecast_line_style", "dash", ""); 
  239: static MagicsParameter<string> eps_plume_control_line_colour("eps_plume_control_line_colour", "cyan", ""); 
  240: static MagicsParameter<string> eps_plume_control_line_style("eps_plume_control_line_style", "solid", ""); 
  241: static MagicsParameter<string> eps_plume_median_line_colour("eps_plume_median_line_colour", "cyan", ""); 
  242: static MagicsParameter<string> eps_plume_median_line_style("eps_plume_median_line_style", "solid", ""); 
  243  

/Users/sylvie/build/magics/src/params/EpsShadeAttributes.cc:
  117  }
  118  
  119: static MagicsParameter<int> eps_shade_line_thickness("eps_shade_line_thickness", 1, "");
  120: static MagicsParameter<string> eps_shade_colour("eps_shade_colour", "red", ""); 
  121: static MagicsParameter<string> eps_shade_line_colour("eps_shade_line_colour", "red", ""); 
  122: static MagicsParameter<string> eps_shade_line_style("eps_shade_line_style", "solid", ""); 
  123  

/Users/sylvie/build/magics/src/params/EpsWaveAttributes.cc:
  100  }
  101  
  102: static MagicsParameter<stringarray> eps_rose_wave_colour("eps_rose_wave_colour", stringarray(), "");
  103  

/Users/sylvie/build/magics/src/params/EpsWindAttributes.cc:
  118  }
  119  
  120: static MagicsParameter<string> eps_rose_wind_convention("eps_rose_wind_convention", "meteorological", "");
  121: static MagicsParameter<string> legend("legend", "on", "");
  122: static MagicsParameter<string> eps_rose_wind_colour("eps_rose_wind_colour", "grey", ""); 
  123: static MagicsParameter<string> eps_rose_wind_border_colour("eps_rose_wind_border_colour", "grey", ""); 
  124  

/Users/sylvie/build/magics/src/params/EpsXmlInputAttributes.cc:
  117  }
  118  
  119: static MagicsParameter<string> epsxml_input_filename("epsxml_input_filename", "", "");
  120: static MagicsParameter<string> epsxml_parameter("epsxml_parameter", "", "");
  121: static MagicsParameter<string> epsxml_long_title("epsxml_long_title", "off", "");
  122: static MagicsParameter<string> epsxml_title("epsxml_title", "on", "");
  123  

/Users/sylvie/build/magics/src/params/FixedTableModeAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<intarray> image_level_list("image_level_list", intarray(), "");
  108: static MagicsParameter<intarray> image_index_list("image_index_list", intarray(), "");
  109  

/Users/sylvie/build/magics/src/params/FlagPlottingAttributes.cc:
  174  }
  175  
  176: static MagicsParameter<double> wind_flag_calm_indicator_size("wind_flag_calm_indicator_size", 0.3, "");
  177: static MagicsParameter<double> wind_flag_calm_below("wind_flag_calm_below", 0.5, "");
  178: static MagicsParameter<string> wind_flag_cross_boundary("wind_flag_cross_boundary", "on", "");
  179: static MagicsParameter<double> wind_flag_length("wind_flag_length", 1.0, "");
  180: static MagicsParameter<double> wind_flag_max_speed("wind_flag_max_speed", 1.0e+21, "");
  181: static MagicsParameter<double> wind_flag_min_speed("wind_flag_min_speed", -1.0e+21, "");
  182: static MagicsParameter<double> wind_flag_origin_marker_size("wind_flag_origin_marker_size", 0.3, "");
  183: static MagicsParameter<int> wind_flag_thickness("wind_flag_thickness", 1, "");
  184: static MagicsParameter<string> wind_flag_calm_indicator("wind_flag_calm_indicator", "on", ""); 
  185: static MagicsParameter<string> wind_flag_colour("wind_flag_colour", "blue", ""); 
  186: static MagicsParameter<string> wind_flag_style("wind_flag_style", "solid", ""); 
  187: static MagicsParameter<string> wind_flag_origin_marker("wind_flag_origin_marker", "circle", ""); 
  188  #include "CalmIndicator.h"
  189  #include "OriginMarker.h"
  190: static SimpleObjectMaker<CalmIndicator , CalmIndicator> calm_CalmIndicator("calm");
  191: static SimpleObjectMaker<CalmIndicator , CalmIndicator> on_CalmIndicator("on");
  192: static SimpleObjectMaker<NoCalmIndicator , CalmIndicator> nocalm_NoCalmIndicator("nocalm");
  193: static SimpleObjectMaker<NoCalmIndicator , CalmIndicator> off_NoCalmIndicator("off");
  194: static SimpleObjectMaker<DotOriginMarker , OriginMarker> dotmarker_DotOriginMarker("dotmarker");
  195: static SimpleObjectMaker<DotOriginMarker , OriginMarker> dot_DotOriginMarker("dot");
  196: static SimpleObjectMaker<CircleOriginMarker , OriginMarker> circlemarker_CircleOriginMarker("circlemarker");
  197: static SimpleObjectMaker<CircleOriginMarker , OriginMarker> circle_CircleOriginMarker("circle");
  198: static SimpleObjectMaker<NoOriginMarker , OriginMarker> nomarker_NoOriginMarker("nomarker");
  199: static SimpleObjectMaker<NoOriginMarker , OriginMarker> off_NoOriginMarker("off");
  200  

/Users/sylvie/build/magics/src/params/FortranRootSceneNodeAttributes.cc:
  165  }
  166  
  167: static MagicsParameter<double> super_page_x_length("super_page_x_length", 29.7, "");
  168: static MagicsParameter<double> super_page_y_length("super_page_y_length", 21.0, "");
  169: static MagicsParameter<string> super_page_frame("super_page_frame", "off", "");
  170: static MagicsParameter<string> super_page_theme("super_page_theme", "cream", "");
  171: static MagicsParameter<int> super_page_frame_thickness("super_page_frame_thickness", 1, "");
  172: static MagicsParameter<string> layout("layout", "automatic", "");
  173: static MagicsParameter<string> plot_start("plot_start", "bottom", "");
  174: static MagicsParameter<string> plot_direction("plot_direction", "vertical", "");
  175: static MagicsParameter<string> legend("legend", "off", "");
  176: static MagicsParameter<string> magics_silent("magics_silent", "off", "");
  177: static MagicsParameter<string> super_page_frame_colour("super_page_frame_colour", "blue", ""); 
  178: static MagicsParameter<string> super_page_frame_line_style("super_page_frame_line_style", "solid", ""); 
  179  

/Users/sylvie/build/magics/src/params/FortranSceneNodeAttributes.cc:
  181  }
  182  
  183: static MagicsParameter<double> page_x_position("page_x_position", 0, "");
  184: static MagicsParameter<double> page_y_position("page_y_position", 0, "");
  185: static MagicsParameter<double> page_x_length("page_x_length", 29.7, "");
  186: static MagicsParameter<double> page_y_length("page_y_length", 21, "");
  187: static MagicsParameter<string> page_frame("page_frame", "off", "");
  188: static MagicsParameter<int> page_frame_thickness("page_frame_thickness", 2, "");
  189: static MagicsParameter<string> layout("layout", "automatic", "");
  190: static MagicsParameter<string> plot_start("plot_start", "bottom", "");
  191: static MagicsParameter<string> plot_direction("plot_direction", "vertical", "");
  192: static MagicsParameter<string> page_theme("page_theme", "super_page_theme", "");
  193: static MagicsParameter<string> skinny_mode("skinny_mode", "off", "");
  194: static MagicsParameter<string> page_frame_colour("page_frame_colour", "charcoal", ""); 
  195: static MagicsParameter<string> page_frame_line_style("page_frame_line_style", "solid", ""); 
  196: static MagicsParameter<string> page_id_line("page_id_line", "on", ""); 
  197  #include "PageID.h"
  198: static SimpleObjectMaker<PageID , NoPageID> on_PageID("on");
  199: static SimpleObjectMaker<NoPageID , NoPageID> off_NoPageID("off");
  200  

/Users/sylvie/build/magics/src/params/FortranViewNodeAttributes.cc:
  275  }
  276  
  277: static MagicsParameter<double> subpage_x_position("subpage_x_position", -1, "");
  278: static MagicsParameter<double> subpage_y_position("subpage_y_position", -1, "");
  279: static MagicsParameter<double> subpage_x_length("subpage_x_length", -1, "");
  280: static MagicsParameter<double> subpage_y_length("subpage_y_length", -1, "");
  281: static MagicsParameter<string> subpage_map_library_area("subpage_map_library_area", "off", "");
  282: static MagicsParameter<string> subpage_map_area_name("subpage_map_area_name", "off", "");
  283: static MagicsParameter<double> subpage_y_position_internal("subpage_y_position_internal", -1, "");
  284: static MagicsParameter<double> subpage_x_position_internal("subpage_x_position_internal", -1, "");
  285: static MagicsParameter<double> subpage_right_position("subpage_right_position", -1, "");
  286: static MagicsParameter<double> subpage_y_length_internal("subpage_y_length_internal", -1, "");
  287: static MagicsParameter<double> subpage_x_length_internal("subpage_x_length_internal", -1, "");
  288: static MagicsParameter<double> subpage_top_position("subpage_top_position", -1, "");
  289: static MagicsParameter<string> subpage_clipping("subpage_clipping", "off", "");
  290: static MagicsParameter<string> subpage_frame("subpage_frame", "on", "");
  291: static MagicsParameter<int> subpage_frame_thickness("subpage_frame_thickness", 2, "");
  292: static MagicsParameter<double> subpage_vertical_axis_width("subpage_vertical_axis_width", 1, "");
  293: static MagicsParameter<double> subpage_horizontal_axis_height("subpage_horizontal_axis_height", 0.5, "");
  294: static MagicsParameter<string> subpage_map_overlay_control("subpage_map_overlay_control", "basic", "");
  295: static MagicsParameter<string> subpage_align_horizontal("subpage_align_horizontal", "left", "");
  296: static MagicsParameter<string> subpage_align_vertical("subpage_align_vertical", "bottom", "");
  297: static MagicsParameter<string> subpage_map_json_definition("subpage_map_json_definition", "", "");
  298: static MagicsParameter<string> automatic_title("automatic_title", "off", "");
  299: static MagicsParameter<string> subpage_map_projection("subpage_map_projection", "cylindrical", ""); 
  300: static MagicsParameter<string> subpage_background_colour("subpage_background_colour", "none", ""); 
  301: static MagicsParameter<string> subpage_frame_colour("subpage_frame_colour", "charcoal", ""); 
  302: static MagicsParameter<string> subpage_frame_line_style("subpage_frame_line_style", "solid", ""); 
  303: static MagicsParameter<string> subpage_map_preview("subpage_map_preview", "off", ""); 
  304: static MagicsParameter<string> subpage_map_magnifier("subpage_map_magnifier", "off", ""); 
  305  #include "GeoRectangularProjection.h"
  306  #include "PolarStereographicProjection.h"
  ...
  313  #include "PreviewVisitor.h"
  314  #include "MagnifierVisitor.h"
  315: static SimpleObjectMaker<GeoRectangularProjection , Transformation> cylindrical_GeoRectangularProjection("cylindrical");
  316: static SimpleObjectMaker<PolarStereographicProjection , Transformation> polar_stereographic_PolarStereographicProjection("polar_stereographic");
  317: static SimpleObjectMaker<Proj4PolarNorth , Transformation> polar_north_Proj4PolarNorth("polar_north");
  318: static SimpleObjectMaker<Proj4PolarSouth , Transformation> polar_south_Proj4PolarSouth("polar_south");
  319: static SimpleObjectMaker<Proj4Geos , Transformation> geos_Proj4Geos("geos");
  320: static SimpleObjectMaker<Proj4Meteosat0 , Transformation> meteosat_Proj4Meteosat0("meteosat");
  321: static SimpleObjectMaker<Proj4Meteosat57 , Transformation> meteosat_57E_Proj4Meteosat57("meteosat_57E");
  322: static SimpleObjectMaker<Proj4Geose , Transformation> goes_east_Proj4Geose("goes_east");
  323: static SimpleObjectMaker<Proj4Lambert , Transformation> lambert_Proj4Lambert("lambert");
  324: static SimpleObjectMaker<Proj4EPSG3857 , Transformation> EPSG_3857_Proj4EPSG3857("EPSG:3857");
  325: static SimpleObjectMaker<Proj4EPSG900913 , Transformation> EPSG_900913_Proj4EPSG900913("EPSG:900913");
  326: static SimpleObjectMaker<Proj4EPSG32661 , Transformation> EPSG_32661_Proj4EPSG32661("EPSG:32661");
  327: static SimpleObjectMaker<Proj4EPSG32761 , Transformation> EPSG_32761_Proj4EPSG32761("EPSG:32761");
  328: static SimpleObjectMaker<Proj4EPSG4326 , Transformation> EPSG_4326_Proj4EPSG4326("EPSG:4326");
  329: static SimpleObjectMaker<Proj4Goode , Transformation> goode_Proj4Goode("goode");
  330: static SimpleObjectMaker<Proj4Collignon , Transformation> collignon_Proj4Collignon("collignon");
  331: static SimpleObjectMaker<Proj4Mollweide , Transformation> mollweide_Proj4Mollweide("mollweide");
  332: static SimpleObjectMaker<Proj4Robinson , Transformation> robinson_Proj4Robinson("robinson");
  333: static SimpleObjectMaker<Proj4Bonne , Transformation> bonne_Proj4Bonne("bonne");
  334: static SimpleObjectMaker<Proj4Google , Transformation> google_Proj4Google("google");
  335: static SimpleObjectMaker<Proj4Efas , Transformation> efas_Proj4Efas("efas");
  336: static SimpleObjectMaker<Proj4TPers , Transformation> tpers_Proj4TPers("tpers");
  337: static SimpleObjectMaker<Proj4Automatic , Transformation> automatic_Proj4Automatic("automatic");
  338: static SimpleObjectMaker<Proj4LambertNorthAtlantic , Transformation> lambert_north_atlantic_Proj4LambertNorthAtlantic("lambert_north_atlantic");
  339: static SimpleObjectMaker<Proj4Mercator , Transformation> mercator_Proj4Mercator("mercator");
  340: static SimpleObjectMaker<CartesianTransformation , Transformation> cartesian_CartesianTransformation("cartesian");
  341: static SimpleObjectMaker<TaylorProjection , Transformation> taylor_TaylorProjection("taylor");
  342: static SimpleObjectMaker<Tephigram , Transformation> tephigram_Tephigram("tephigram");
  343: static SimpleObjectMaker<Skewt , Transformation> skewt_Skewt("skewt");
  344: static SimpleObjectMaker<Emagram , Transformation> emagram_Emagram("emagram");
  345: static SimpleObjectMaker<NoPreviewVisitor , NoPreviewVisitor> off_NoPreviewVisitor("off");
  346: static SimpleObjectMaker<PreviewVisitor , NoPreviewVisitor> on_PreviewVisitor("on");
  347: static SimpleObjectMaker<NoMagnifierVisitor , NoMagnifierVisitor> off_NoMagnifierVisitor("off");
  348: static SimpleObjectMaker<MagnifierVisitor , NoMagnifierVisitor> on_MagnifierVisitor("on");
  349  

/Users/sylvie/build/magics/src/params/GeoJSonAttributes.cc:
  117  }
  118  
  119: static MagicsParameter<string> geojson_input_type("geojson_input_type", "file", "");
  120: static MagicsParameter<string> geojson_input_filename("geojson_input_filename", "", "");
  121: static MagicsParameter<string> geojson_input("geojson_input", "{}", "");
  122: static MagicsParameter<double> geojson_binning_grid_resolution("geojson_binning_grid_resolution", 1., "");
  123  

/Users/sylvie/build/magics/src/params/GeoJsonDriverAttributes.cc:
  123  }
  124  
  125: static MagicsParameter<string> geojson_zip("geojson_zip", "off", "");
  126: static MagicsParameter<string> geojson_description("geojson_description", "Generated by Magics++", "");
  127: static MagicsParameter<string> geojson_author("geojson_author", "", "");
  128: static MagicsParameter<string> geojson_link("geojson_link", "", "");
  129: static MagicsParameter<string> geojson_coastlines("geojson_coastlines", "off", "");
  130  

/Users/sylvie/build/magics/src/params/GeoPointsDecoderAttributes.cc:
  106  }
  107  
  108: static MagicsParameter<string> geo_input_file_name("geo_input_file_name", "", "");
  109: static MagicsParameter<double> geo_missing_value("geo_missing_value", 3.0E+38, "");
  110  

/Users/sylvie/build/magics/src/params/GeoRectangularProjectionAttributes.cc:
  123  }
  124  
  125: static MagicsParameter<double> subpage_lower_left_latitude("subpage_lower_left_latitude", -90.0, "");
  126: static MagicsParameter<double> subpage_lower_left_longitude("subpage_lower_left_longitude", -180.0, "");
  127: static MagicsParameter<double> subpage_upper_right_latitude("subpage_upper_right_latitude", 90.0, "");
  128: static MagicsParameter<double> subpage_upper_right_longitude("subpage_upper_right_longitude", 180.0, "");
  129: static MagicsParameter<double> subpage_minimal_area("subpage_minimal_area", 0.1, "");
  130  

/Users/sylvie/build/magics/src/params/GradientsColourTechniqueAttributes.cc:
  123  }
  124  
  125: static MagicsParameter<stringarray> contour_gradients_colour_list("contour_gradients_colour_list", stringarray(), "");
  126: static MagicsParameter<string> contour_gradients_waypoint_method("contour_gradients_waypoint_method", "both", "");
  127: static MagicsParameter<string> contour_gradients_technique("contour_gradients_technique", "rgb", "");
  128: static MagicsParameter<string> contour_gradients_technique_direction("contour_gradients_technique_direction", "clockwise", "");
  129: static MagicsParameter<intarray> contour_gradients_step_list("contour_gradients_step_list", intarray(), "");
  130  

/Users/sylvie/build/magics/src/params/GraphArrowAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<double> graph_arrow_unit_velocity("graph_arrow_unit_velocity", 25.0, "");
  108: static MagicsParameter<string> graph_arrow_colour("graph_arrow_colour", "black", ""); 
  109  

/Users/sylvie/build/magics/src/params/GraphFlagAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<double> graph_flag_length("graph_flag_length", 0.75, "");
  108: static MagicsParameter<string> graph_flag_colour("graph_flag_colour", "black", ""); 
  109  

/Users/sylvie/build/magics/src/params/GraphPlottingAttributes.cc:
  115  }
  116  
  117: static MagicsParameter<string> legend("legend", "off", "");
  118: static MagicsParameter<string> legend_user_text("legend_user_text", "", "");
  119: static MagicsParameter<string> graph_type("graph_type", "curve", ""); 
  120  #include "Curve.h"
  121  #include "Bar.h"
  122: static SimpleObjectMaker<Curve , Graph> curve_Curve("curve");
  123: static SimpleObjectMaker<Bar , Graph> bar_Bar("bar");
  124: static SimpleObjectMaker<GraphFlag , Graph> flag_GraphFlag("flag");
  125: static SimpleObjectMaker<GraphArrow , Graph> arrow_GraphArrow("arrow");
  126: static SimpleObjectMaker<CurveArea , Graph> area_CurveArea("area");
  127  

/Users/sylvie/build/magics/src/params/GraphShadeAttributes.cc:
  103  }
  104  
  105: static MagicsParameter<string> graph_shade_style("graph_shade_style", "area_fill", ""); 
  106  #include "GraphShadeStyle.h"
  107: static SimpleObjectMaker<GraphShadeStyle , GraphShadeStyle> solid_GraphShadeStyle("solid");
  108: static SimpleObjectMaker<GraphShadeStyle , GraphShadeStyle> area_fill_GraphShadeStyle("area_fill");
  109: static SimpleObjectMaker<HatchGraphShadeStyle , GraphShadeStyle> hatch_HatchGraphShadeStyle("hatch");
  110: static SimpleObjectMaker<DotGraphShadeStyle , GraphShadeStyle> dot_DotGraphShadeStyle("dot");
  111  

/Users/sylvie/build/magics/src/params/GraphShadeStyleAttributes.cc:
   99  }
  100  
  101: static MagicsParameter<string> graph_shade_colour("graph_shade_colour", "blue", ""); 
  102  

/Users/sylvie/build/magics/src/params/GribDecoderAttributes.cc:
  216  }
  217  
  218: static MagicsParameter<string> grib_input_file_name("grib_input_file_name", "", "");
  219: static MagicsParameter<string> grib_id("grib_id", "", "");
  220: static MagicsParameter<string> grib_loop("grib_loop", "off", "");
  221: static MagicsParameter<string> grib_automatic_scaling("grib_automatic_scaling", "on", "");
  222: static MagicsParameter<string> grib_automatic_derived_scaling("grib_automatic_derived_scaling", "off", "");
  223: static MagicsParameter<double> grib_scaling_factor("grib_scaling_factor", 1, "");
  224: static MagicsParameter<double> grib_scaling_offset("grib_scaling_offset", 0, "");
  225: static MagicsParameter<double> grib_interpolation_regular_resolution("grib_interpolation_regular_resolution", 0.1, "");
  226: static MagicsParameter<string> grib_interpolation_method("grib_interpolation_method", "interpolate", "");
  227: static MagicsParameter<int> grib_interpolation_method_missing_fill_count("grib_interpolation_method_missing_fill_count", 1, "");
  228: static MagicsParameter<string> grib_text_experiment("grib_text_experiment", "off", "");
  229: static MagicsParameter<string> grib_text_units("grib_text_units", "off", "");
  230: static MagicsParameter<int> grib_field_position("grib_field_position", 1, "");
  231: static MagicsParameter<int> grib_wind_position_1("grib_wind_position_1", 1, "");
  232: static MagicsParameter<int> grib_wind_position_2("grib_wind_position_2", 2, "");
  233: static MagicsParameter<int> grib_wind_position_colour("grib_wind_position_colour", 3, "");
  234: static MagicsParameter<double> grib_missing_value_indicator("grib_missing_value_indicator", -1.5e+21, "");
  235: static MagicsParameter<string> grib_file_address_mode("grib_file_address_mode", "record", ""); 
  236: static MagicsParameter<string> grib_wind_mode("grib_wind_mode", "uv", ""); 
  237  #include "GribAddressMode.h"
  238  #include "WindMode.h"
  239: static SimpleObjectMaker<GribAddressRecordMode , GribAddressMode> record_GribAddressRecordMode("record");
  240: static SimpleObjectMaker<GribAddressByteMode , GribAddressMode> byte_offset_GribAddressByteMode("byte_offset");
  241: static SimpleObjectMaker<UVWindMode , WindMode> uvmode_UVWindMode("uvmode");
  242: static SimpleObjectMaker<UVWindMode , WindMode> uv_UVWindMode("uv");
  243: static SimpleObjectMaker<SDWindMode , WindMode> vdmode_SDWindMode("vdmode");
  244: static SimpleObjectMaker<SDWindMode , WindMode> sd_SDWindMode("sd");
  245  

/Users/sylvie/build/magics/src/params/GribLoopAttributes.cc:
  201  }
  202  
  203: static MagicsParameter<intarray> grib_dimension("grib_dimension", intarray(), "");
  204: static MagicsParameter<longintarray> grib_position_1("grib_position_1", longintarray(), "");
  205: static MagicsParameter<longintarray> grib_position_2("grib_position_2", longintarray(), "");
  206: static MagicsParameter<longintarray> grib_position_colour("grib_position_colour", longintarray(), "");
  207: static MagicsParameter<longintarray> grib_position("grib_position", longintarray(), "");
  208: static MagicsParameter<string> grib_loop_path("grib_loop_path", "", "");
  209: static MagicsParameter<string> grib_automatic_scaling("grib_automatic_scaling", "on", "");
  210: static MagicsParameter<string> grib_automatic_derived_scaling("grib_automatic_derived_scaling", "off", "");
  211: static MagicsParameter<double> grib_scaling_factor("grib_scaling_factor", 1, "");
  212: static MagicsParameter<double> grib_scaling_offset("grib_scaling_offset", 0, "");
  213: static MagicsParameter<double> grib_interpolation_regular_resolution("grib_interpolation_regular_resolution", 0.1, "");
  214: static MagicsParameter<string> grib_interpolation_method("grib_interpolation_method", "interpolate", "");
  215: static MagicsParameter<int> grib_interpolation_method_missing_fill_count("grib_interpolation_method_missing_fill_count", 1, "");
  216: static MagicsParameter<string> grib_file_address_mode("grib_file_address_mode", "record", ""); 
  217: static MagicsParameter<string> grib_loop_step("grib_loop_step", "loopondate", ""); 
  218: static MagicsParameter<string> grib_wind_mode("grib_wind_mode", "uv", ""); 
  219  #include "GribAddressMode.h"
  220  #include "GribLoopStep.h"
  221  #include "WindMode.h"
  222: static SimpleObjectMaker<GribAddressRecordMode , GribAddressMode> record_GribAddressRecordMode("record");
  223: static SimpleObjectMaker<GribAddressByteMode , GribAddressMode> byte_offset_GribAddressByteMode("byte_offset");
  224: static SimpleObjectMaker<DateGribLoopStep , GribLoopStep> loopondate_DateGribLoopStep("loopondate");
  225: static SimpleObjectMaker<ParamGribLoopStep , GribLoopStep> looponparam_ParamGribLoopStep("looponparam");
  226: static SimpleObjectMaker<UVWindMode , WindMode> uvmode_UVWindMode("uvmode");
  227: static SimpleObjectMaker<UVWindMode , WindMode> uv_UVWindMode("uv");
  228: static SimpleObjectMaker<SDWindMode , WindMode> sdmode_SDWindMode("sdmode");
  229: static SimpleObjectMaker<SDWindMode , WindMode> sd_SDWindMode("sd");
  230  

/Users/sylvie/build/magics/src/params/GridPlottingAttributes.cc:
  136  }
  137  
  138: static MagicsParameter<int> map_grid_thickness("map_grid_thickness", 1, "");
  139: static MagicsParameter<string> map_grid_frame("map_grid_frame", "off", "");
  140: static MagicsParameter<int> map_grid_frame_thickness("map_grid_frame_thickness", 1, "");
  141: static MagicsParameter<string> map_grid_line_style("map_grid_line_style", "solid", ""); 
  142: static MagicsParameter<string> map_grid_colour("map_grid_colour", "BLACK", ""); 
  143: static MagicsParameter<string> map_grid_frame_line_style("map_grid_frame_line_style", "solid", ""); 
  144: static MagicsParameter<string> map_grid_frame_colour("map_grid_frame_colour", "black", ""); 
  145  

/Users/sylvie/build/magics/src/params/GridShadingAttributes.cc:
   99  }
  100  
  101: static MagicsParameter<string> contour_grid_shading_position("contour_grid_shading_position", "middle", "");
  102  

/Users/sylvie/build/magics/src/params/HatchGraphShadeStyleAttributes.cc:
   99  }
  100  
  101: static MagicsParameter<int> graph_shade_hatch_index("graph_shade_hatch_index", 0, "");
  102  

/Users/sylvie/build/magics/src/params/HatchPolyShadingMethodAttributes.cc:
  115  }
  116  
  117: static MagicsParameter<int> contour_shade_hatch_index("contour_shade_hatch_index", 0, "");
  118: static MagicsParameter<int> contour_shade_hatch_thickness("contour_shade_hatch_thickness", 1, "");
  119: static MagicsParameter<double> contour_shade_hatch_density("contour_shade_hatch_density", 18.0, "");
  120  

/Users/sylvie/build/magics/src/params/HiLoAttributes.cc:
  156  }
  157  
  158: static MagicsParameter<int> contour_hilo_window_size("contour_hilo_window_size", 3, "");
  159: static MagicsParameter<double> contour_hilo_max_value("contour_hilo_max_value", 1.0e+21, "");
  160: static MagicsParameter<double> contour_hilo_min_value("contour_hilo_min_value", -1.0e+21, "");
  161: static MagicsParameter<double> contour_hi_max_value("contour_hi_max_value", 1.0e+21, "");
  162: static MagicsParameter<double> contour_hi_min_value("contour_hi_min_value", -1.0e+21, "");
  163: static MagicsParameter<double> contour_lo_max_value("contour_lo_max_value", 1.0e+21, "");
  164: static MagicsParameter<double> contour_lo_min_value("contour_lo_min_value", -1.0e+21, "");
  165: static MagicsParameter<string> contour_hilo_type("contour_hilo_type", "text", ""); 
  166: static MagicsParameter<string> contour_hilo_marker("contour_hilo_marker", "off", ""); 
  167  #include "HiLoText.h"
  168  #include "HiLoNumber.h"
  169  #include "HiLoBoth.h"
  170  #include "HiLoMarker.h"
  171: static SimpleObjectMaker<HiLoText , HiLoTechnique> text_HiLoText("text");
  172: static SimpleObjectMaker<HiLoNumber , HiLoTechnique> number_HiLoNumber("number");
  173: static SimpleObjectMaker<HiLoBoth , HiLoTechnique> both_HiLoBoth("both");
  174: static SimpleObjectMaker<HiLoMarker , HiLoMarkerBase> marker_HiLoMarker("marker");
  175: static SimpleObjectMaker<HiLoMarker , HiLoMarkerBase> on_HiLoMarker("on");
  176: static SimpleObjectMaker<NoHiLoMarker , HiLoMarkerBase> nomarker_NoHiLoMarker("nomarker");
  177: static SimpleObjectMaker<NoHiLoMarker , HiLoMarkerBase> off_NoHiLoMarker("off");
  178  

/Users/sylvie/build/magics/src/params/HiLoMarkerAttributes.cc:
  111  }
  112  
  113: static MagicsParameter<double> contour_hilo_marker_height("contour_hilo_marker_height", 0.1, "");
  114: static MagicsParameter<int> contour_hilo_marker_index("contour_hilo_marker_index", 3, "");
  115: static MagicsParameter<string> contour_hilo_marker_colour("contour_hilo_marker_colour", "red", ""); 
  116  

/Users/sylvie/build/magics/src/params/HiLoTechniqueAttributes.cc:
  124  }
  125  
  126: static MagicsParameter<double> contour_hilo_height("contour_hilo_height", 0.4, "");
  127: static MagicsParameter<string> contour_hilo_quality("contour_hilo_quality", "low", "");
  128: static MagicsParameter<string> contour_hilo_format("contour_hilo_format", "(automatic)", "");
  129: static MagicsParameter<string> contour_hi_colour("contour_hi_colour", "blue", ""); 
  130: static MagicsParameter<string> contour_lo_colour("contour_lo_colour", "blue", ""); 
  131  

/Users/sylvie/build/magics/src/params/HiLoTextAttributes.cc:
  111  }
  112  
  113: static MagicsParameter<string> contour_hi_text("contour_hi_text", "H", "");
  114: static MagicsParameter<string> contour_lo_text("contour_lo_text", "L", "");
  115: static MagicsParameter<string> contour_hilo_blanking("contour_hilo_blanking", "off", "");
  116  

/Users/sylvie/build/magics/src/params/HistogramAttributes.cc:
  157  }
  158  
  159: static MagicsParameter<double> histogram_min_value("histogram_min_value", -1.e21, "");
  160: static MagicsParameter<double> histogram_max_value("histogram_max_value", 1.e21, "");
  161: static MagicsParameter<int> histogram_level_count("histogram_level_count", 10, "");
  162: static MagicsParameter<int> histogram_level_tolerance("histogram_level_tolerance", 2, "");
  163: static MagicsParameter<double> histogram_reference_level("histogram_reference_level", 0.0, "");
  164: static MagicsParameter<double> histogram_interval("histogram_interval", 8.0, "");
  165: static MagicsParameter<doublearray> histogram_level_list("histogram_level_list", floatarray(), "");
  166: static MagicsParameter<double> histogram_bar_width("histogram_bar_width", 1, "");
  167: static MagicsParameter<string> histogram_selection_type("histogram_selection_type", "count", ""); 
  168: static MagicsParameter<string> histogram_bar_colour("histogram_bar_colour", "evergreen", ""); 
  169  #include "CountSelectionType.h"
  170  #include "IntervalSelectionType.h"
  171  #include "LevelListSelectionType.h"
  172: static SimpleObjectMaker<CountSelectionType , LevelSelection> count_CountSelectionType("count");
  173: static SimpleObjectMaker<IntervalSelectionType , LevelSelection> interval_IntervalSelectionType("interval");
  174: static SimpleObjectMaker<LevelListSelectionType , LevelSelection> list_LevelListSelectionType("list");
  175  

/Users/sylvie/build/magics/src/params/HistogramLegendMethodAttributes.cc:
  159  }
  160  
  161: static MagicsParameter<int> legend_label_frequency("legend_label_frequency", 1, "");
  162: static MagicsParameter<string> legend_histogram_border("legend_histogram_border", "on", "");
  163: static MagicsParameter<string> legend_histogram_mean_value("legend_histogram_mean_value", "off", "");
  164: static MagicsParameter<int> legend_histogram_mean_value_marker("legend_histogram_mean_value_marker", 15, "");
  165: static MagicsParameter<double> legend_histogram_mean_value_marker_size("legend_histogram_mean_value_marker_size", 0.4, "");
  166: static MagicsParameter<string> legend_histogram_max_value("legend_histogram_max_value", "on", "");
  167: static MagicsParameter<int> legend_histogram_grid_thickness("legend_histogram_grid_thickness", 1, "");
  168: static MagicsParameter<string> legend_histogram_border_colour("legend_histogram_border_colour", "black", ""); 
  169: static MagicsParameter<string> legend_histogram_mean_value_marker_colour("legend_histogram_mean_value_marker_colour", "black", ""); 
  170: static MagicsParameter<string> legend_histogram_grid_colour("legend_histogram_grid_colour", "black", ""); 
  171: static MagicsParameter<string> legend_histogram_grid_line_style("legend_histogram_grid_line_style", "solid", ""); 
  172  

/Users/sylvie/build/magics/src/params/ImageCalculateColourTechniqueAttributes.cc:
  111  }
  112  
  113: static MagicsParameter<string> image_colour_direction("image_colour_direction", "anti_clockwise", "");
  114: static MagicsParameter<string> image_max_level_colour("image_max_level_colour", "blue", ""); 
  115: static MagicsParameter<string> image_min_level_colour("image_min_level_colour", "red", ""); 
  116  

/Users/sylvie/build/magics/src/params/ImageListColourTechniqueAttributes.cc:
   99  }
  100  
  101: static MagicsParameter<stringarray> image_colour_table("image_colour_table", stringarray(), "");
  102  

/Users/sylvie/build/magics/src/params/ImportActionAttributes.cc:
  123  }
  124  
  125: static MagicsParameter<string> import_file_name("import_file_name", "", "");
  126: static MagicsParameter<string> import_valid_time("import_valid_time", "", "");
  127: static MagicsParameter<string> service("service", "", "");
  128: static MagicsParameter<string> url("url", "", "");
  129: static MagicsParameter<string> layers("layers", "", "");
  130  

/Users/sylvie/build/magics/src/params/ImportObjectHandlerAttributes.cc:
  135  }
  136  
  137: static MagicsParameter<string> import_file_name("import_file_name", "", "");
  138: static MagicsParameter<string> import_format("import_format", "png", "");
  139: static MagicsParameter<string> import_overlay("import_overlay", "on", "");
  140: static MagicsParameter<double> import_x_position("import_x_position", 0, "");
  141: static MagicsParameter<double> import_y_position("import_y_position", 0, "");
  142: static MagicsParameter<double> import_width("import_width", -1, "");
  143: static MagicsParameter<double> import_height("import_height", -1, "");
  144  

/Users/sylvie/build/magics/src/params/ImportPlotAttributes.cc:
  159  }
  160  
  161: static MagicsParameter<string> import_format("import_format", "PNG", "");
  162: static MagicsParameter<string> import_system_coordinates("import_system_coordinates", "user", "");
  163: static MagicsParameter<double> import_x_position("import_x_position", 0, "");
  164: static MagicsParameter<double> import_y_position("import_y_position", 0, "");
  165: static MagicsParameter<double> import_width("import_width", -1, "");
  166: static MagicsParameter<string> crs("crs", "", "");
  167: static MagicsParameter<double> crs_minx("crs_minx", -180., "");
  168: static MagicsParameter<double> crs_maxx("crs_maxx", 180., "");
  169: static MagicsParameter<double> crs_miny("crs_miny", -90., "");
  170: static MagicsParameter<double> crs_maxy("crs_maxy", -90., "");
  171: static MagicsParameter<double> import_height("import_height", -1, "");
  172  

/Users/sylvie/build/magics/src/params/InputDataAttributes.cc:
  217  }
  218  
  219: static MagicsParameter<string> input_type("input_type", "cartesian", "");
  220: static MagicsParameter<string> input_x_type("input_x_type", "number", "");
  221: static MagicsParameter<string> input_y_type("input_y_type", "number", "");
  222: static MagicsParameter<doublearray> input_x_values("input_x_values", floatarray(), "");
  223: static MagicsParameter<doublearray> input_y_values("input_y_values", floatarray(), "");
  224: static MagicsParameter<stringarray> input_date_x_values("input_date_x_values", stringarray(), "");
  225: static MagicsParameter<stringarray> input_date_y_values("input_date_y_values", stringarray(), "");
  226: static MagicsParameter<doublearray> input_x2_values("input_x2_values", floatarray(), "");
  227: static MagicsParameter<doublearray> input_y2_values("input_y2_values", floatarray(), "");
  228: static MagicsParameter<stringarray> input_date_x2_values("input_date_x2_values", stringarray(), "");
  229: static MagicsParameter<stringarray> input_date_y2_values("input_date_y2_values", stringarray(), "");
  230: static MagicsParameter<double> input_x_missing_value("input_x_missing_value", -21.e6, "");
  231: static MagicsParameter<double> input_y_missing_value("input_y_missing_value", -21.e6, "");
  232: static MagicsParameter<doublearray> input_values("input_values", floatarray(), "");
  233: static MagicsParameter<doublearray> input_latitude_values("input_latitude_values", floatarray(), "");
  234: static MagicsParameter<doublearray> input_longitude_values("input_longitude_values", floatarray(), "");
  235: static MagicsParameter<doublearray> input_x_component_values("input_x_component_values", floatarray(), "");
  236: static MagicsParameter<doublearray> input_y_component_values("input_y_component_values", floatarray(), "");
  237: static MagicsParameter<string> input_automatic("input_automatic", "on", "");
  238: static MagicsParameter<string> input_binning("input_binning", "on", ""); 
  239  #include "BinningObject.h"
  240: static SimpleObjectMaker<NoBinningObject , BinningObject> nobinning_NoBinningObject("nobinning");
  241: static SimpleObjectMaker<NoBinningObject , BinningObject> off_NoBinningObject("off");
  242: static SimpleObjectMaker<BinningObject , BinningObject> binning_BinningObject("binning");
  243: static SimpleObjectMaker<BinningObject , BinningObject> on_BinningObject("on");
  244  

/Users/sylvie/build/magics/src/params/InputMatrixAttributes.cc:
  163  }
  164  
  165: static MagicsParameter<string> input_simple_field("input_simple_field", "off", "");
  166: static MagicsParameter<string> input_metadata("input_metadata", "{}", "");
  167: static MagicsParameter<string> input_field_subpage_mapping("input_field_subpage_mapping", "upper_left", "");
  168: static MagicsParameter<double> input_field_suppress_below("input_field_suppress_below", -1.0e+21, "");
  169: static MagicsParameter<double> input_field_suppress_above("input_field_suppress_above", 1.0e+21, "");
  170: static MagicsParameter<Matrix> input_field("input_field", Matrix(), ""); 
  171: static MagicsParameter<Matrix> input_wind_u_component("input_wind_u_component", Matrix(), ""); 
  172: static MagicsParameter<Matrix> input_wind_v_component("input_wind_v_component", Matrix(), ""); 
  173: static MagicsParameter<string> input_field_organization("input_field_organization", "regular", ""); 
  174: static MagicsParameter<Matrix> input_wind_speed("input_wind_speed", Matrix(), ""); 
  175: static MagicsParameter<Matrix> input_wind_direction("input_wind_direction", Matrix(), ""); 
  176  #include "InputMatrixInterpretor.h"
  177: static SimpleObjectMaker<InputMatrixRegularInterpretor , InputMatrixInterpretor> gaussian_InputMatrixRegularInterpretor("gaussian");
  178: static SimpleObjectMaker<InputMatrixRegularInterpretor , InputMatrixInterpretor> regular_InputMatrixRegularInterpretor("regular");
  179: static SimpleObjectMaker<InputMatrixIrregularInterpretor , InputMatrixInterpretor> irregular_InputMatrixIrregularInterpretor("irregular");
  180: static SimpleObjectMaker<InputMatrixIrregularInterpretor , InputMatrixInterpretor> nonregular_InputMatrixIrregularInterpretor("nonregular");
  181  

/Users/sylvie/build/magics/src/params/InputMatrixIrregularInterpretorAttributes.cc:
  117  }
  118  
  119: static MagicsParameter<Matrix> input_field_latitudes("input_field_latitudes", Matrix(), ""); 
  120: static MagicsParameter<Matrix> input_field_longitudes("input_field_longitudes", Matrix(), ""); 
  121: static MagicsParameter<Matrix> input_field_y_coordinates("input_field_y_coordinates", Matrix(), ""); 
  122: static MagicsParameter<Matrix> input_field_x_coordinates("input_field_x_coordinates", Matrix(), ""); 
  123  

/Users/sylvie/build/magics/src/params/InputMatrixRegularInterpretorAttributes.cc:
  201  }
  202  
  203: static MagicsParameter<double> input_field_initial_latitude("input_field_initial_latitude", 90, "");
  204: static MagicsParameter<doublearray> input_latitudes_list("input_latitudes_list", floatarray(), "");
  205: static MagicsParameter<doublearray> input_longitudes_list("input_longitudes_list", floatarray(), "");
  206: static MagicsParameter<double> input_field_initial_longitude("input_field_initial_longitude", 0, "");
  207: static MagicsParameter<double> input_field_latitude_step("input_field_latitude_step", -1.5, "");
  208: static MagicsParameter<double> input_field_longitude_step("input_field_longitude_step", 1.5, "");
  209: static MagicsParameter<double> input_field_initial_y("input_field_initial_y", 0, "");
  210: static MagicsParameter<double> input_field_final_x("input_field_final_x", 100, "");
  211: static MagicsParameter<double> input_field_final_y("input_field_final_y", 100, "");
  212: static MagicsParameter<doublearray> input_field_x_list("input_field_x_list", floatarray(), "");
  213: static MagicsParameter<doublearray> input_field_y_list("input_field_y_list", floatarray(), "");
  214: static MagicsParameter<double> input_field_initial_x("input_field_initial_x", 0, "");
  215: static MagicsParameter<string> input_field_initial_y_date("input_field_initial_y_date", "", "");
  216: static MagicsParameter<string> input_field_final_x_date("input_field_final_x_date", "", "");
  217: static MagicsParameter<string> input_field_final_y_date("input_field_final_y_date", "", "");
  218: static MagicsParameter<string> input_field_initial_x_date("input_field_initial_x_date", "", "");
  219: static MagicsParameter<double> input_field_y_step("input_field_y_step", 1, "");
  220: static MagicsParameter<double> input_field_x_step("input_field_x_step", 1, "");
  221  

/Users/sylvie/build/magics/src/params/IntervalSelectionTypeAttributes.cc:
  107  }
  108  
  109: static MagicsParameter<double> contour_reference_level("contour_reference_level", 0.0, "");
  110: static MagicsParameter<double> contour_interval("contour_interval", 8.0, "");
  111  

/Users/sylvie/build/magics/src/params/IsoHighlightAttributes.cc:
  125  }
  126  
  127: static MagicsParameter<double> contour_reference_level("contour_reference_level", 0.0, "");
  128: static MagicsParameter<int> contour_highlight_thickness("contour_highlight_thickness", 3, "");
  129: static MagicsParameter<int> contour_highlight_frequency("contour_highlight_frequency", 4, "");
  130: static MagicsParameter<string> contour_highlight_style("contour_highlight_style", "solid", ""); 
  131: static MagicsParameter<string> contour_highlight_colour("contour_highlight_colour", "blue", ""); 
  132  

/Users/sylvie/build/magics/src/params/IsoLabelAttributes.cc:
  149  }
  150  
  151: static MagicsParameter<string> contour_label_type("contour_label_type", "number", "");
  152: static MagicsParameter<string> contour_label_text("contour_label_text", "", "");
  153: static MagicsParameter<double> contour_label_height("contour_label_height", 0.3, "");
  154: static MagicsParameter<string> contour_label_format("contour_label_format", "(automatic)", "");
  155: static MagicsParameter<string> contour_label_blanking("contour_label_blanking", "on", "");
  156: static MagicsParameter<string> contour_label_font("contour_label_font", "sansserif", "");
  157: static MagicsParameter<string> contour_label_font_style("contour_label_font_style", "normal", "");
  158: static MagicsParameter<string> contour_label_colour("contour_label_colour", "contour_line_colour", "");
  159: static MagicsParameter<int> contour_label_frequency("contour_label_frequency", 2, "");
  160  

/Users/sylvie/build/magics/src/params/IsoPlotAttributes.cc:
  258  }
  259  
  260: static MagicsParameter<string> contour_special_legend("contour_special_legend", "", "");
  261: static MagicsParameter<int> contour_threads("contour_threads", 4, "");
  262: static MagicsParameter<double> contour_internal_reduction_factor("contour_internal_reduction_factor", 4, "");
  263: static MagicsParameter<string> contour_internal_technique("contour_internal_technique", "interpolate", "");
  264: static MagicsParameter<string> contour_legend_text("contour_legend_text", " ", "");
  265: static MagicsParameter<int> contour_line_thickness("contour_line_thickness", 1, "");
  266: static MagicsParameter<string> contour_line_colour_rainbow("contour_line_colour_rainbow", "off", "");
  267: static MagicsParameter<string> contour_line_colour_rainbow_direction("contour_line_colour_rainbow_direction", "anti_clockwise", "");
  268: static MagicsParameter<stringarray> contour_line_colour_rainbow_colour_list("contour_line_colour_rainbow_colour_list", stringarray(), "");
  269: static MagicsParameter<intarray> contour_line_thickness_rainbow_list("contour_line_thickness_rainbow_list", intarray(), "");
  270: static MagicsParameter<stringarray> contour_line_style_rainbow_list("contour_line_style_rainbow_list", stringarray(), "");
  271: static MagicsParameter<string> contour_legend_only("contour_legend_only", "off", "");
  272: static MagicsParameter<string> contour_line_style("contour_line_style", "solid", ""); 
  273: static MagicsParameter<string> contour_line_colour("contour_line_colour", "blue", ""); 
  274: static MagicsParameter<string> contour_line_colour_rainbow_method("contour_line_colour_rainbow_method", "calculate", ""); 
  275: static MagicsParameter<string> contour_line_colour_rainbow_max_level_colour("contour_line_colour_rainbow_max_level_colour", "blue", ""); 
  276: static MagicsParameter<string> contour_line_colour_rainbow_min_level_colour("contour_line_colour_rainbow_min_level_colour", "red", ""); 
  277: static MagicsParameter<string> contour_line_colour_rainbow_colour_list_policy("contour_line_colour_rainbow_colour_list_policy", "lastone", ""); 
  278: static MagicsParameter<string> contour_line_thickness_rainbow_list_policy("contour_line_thickness_rainbow_list_policy", "lastone", ""); 
  279: static MagicsParameter<string> contour_line_style_rainbow_list_policy("contour_line_style_rainbow_list_policy", "lastone", ""); 
  280: static MagicsParameter<string> contour_highlight("contour_highlight", "on", ""); 
  281: static MagicsParameter<string> contour_level_selection_type("contour_level_selection_type", "count", ""); 
  282: static MagicsParameter<string> contour_label("contour_label", "on", ""); 
  283: static MagicsParameter<string> contour_shade("contour_shade", "off", ""); 
  284  #include "IsoHighlight.h"
  285  #include "CountSelectionType.h"
  ...
  288  #include "IsoLabel.h"
  289  #include "IsoShading.h"
  290: static SimpleObjectMaker<IsoHighlight , NoIsoHighlight> highlight_IsoHighlight("highlight");
  291: static SimpleObjectMaker<IsoHighlight , NoIsoHighlight> on_IsoHighlight("on");
  292: static SimpleObjectMaker<NoIsoHighlight , NoIsoHighlight> nohighlight_NoIsoHighlight("nohighlight");
  293: static SimpleObjectMaker<NoIsoHighlight , NoIsoHighlight> off_NoIsoHighlight("off");
  294: static SimpleObjectMaker<CountSelectionType , LevelSelection> count_CountSelectionType("count");
  295: static SimpleObjectMaker<IntervalSelectionType , LevelSelection> interval_IntervalSelectionType("interval");
  296: static SimpleObjectMaker<LevelListSelectionType , LevelSelection> list_LevelListSelectionType("list");
  297: static SimpleObjectMaker<LevelListSelectionType , LevelSelection> level_list_LevelListSelectionType("level_list");
  298: static SimpleObjectMaker<IsoLabel , NoIsoLabel> label_IsoLabel("label");
  299: static SimpleObjectMaker<IsoLabel , NoIsoLabel> on_IsoLabel("on");
  300: static SimpleObjectMaker<NoIsoLabel , NoIsoLabel> nolabel_NoIsoLabel("nolabel");
  301: static SimpleObjectMaker<NoIsoLabel , NoIsoLabel> off_NoIsoLabel("off");
  302: static SimpleObjectMaker<IsoShading , NoIsoShading> shading_IsoShading("shading");
  303: static SimpleObjectMaker<IsoShading , NoIsoShading> on_IsoShading("on");
  304: static SimpleObjectMaker<NoIsoShading , NoIsoShading> noshading_NoIsoShading("noshading");
  305: static SimpleObjectMaker<NoIsoShading , NoIsoShading> off_NoIsoShading("off");
  306  

/Users/sylvie/build/magics/src/params/IsoShadingAttributes.cc:
  129  }
  130  
  131: static MagicsParameter<double> contour_shade_max_level("contour_shade_max_level", 1.0e+21, "");
  132: static MagicsParameter<double> contour_shade_min_level("contour_shade_min_level", -1.0e+21, "");
  133: static MagicsParameter<string> contour_shade_technique("contour_shade_technique", "polygon_shading", ""); 
  134: static MagicsParameter<string> contour_shade_colour_method("contour_shade_colour_method", "calculate", ""); 
  135  #include "PolyShadingTechnique.h"
  136  #include "CellShading.h"
  ...
  140  #include "GradientsColourTechnique.h"
  141  #include "ColourTechnique.h"
  142: static SimpleObjectMaker<PolyShadingTechnique , ShadingTechnique> polygon_PolyShadingTechnique("polygon");
  143: static SimpleObjectMaker<PolyShadingTechnique , ShadingTechnique> polygon_shading_PolyShadingTechnique("polygon_shading");
  144: static SimpleObjectMaker<GridShading , ShadingTechnique> grid_shading_GridShading("grid_shading");
  145: static SimpleObjectMaker<CellShading , ShadingTechnique> cell_shading_CellShading("cell_shading");
  146: static SimpleObjectMaker<DumpShading , ShadingTechnique> dump_shading_DumpShading("dump_shading");
  147: static SimpleObjectMaker<MarkerShadingTechnique , ShadingTechnique> marker_MarkerShadingTechnique("marker");
  148: static SimpleObjectMaker<CalculateColourTechnique , ColourTechnique> calculate_CalculateColourTechnique("calculate");
  149: static SimpleObjectMaker<ListColourTechnique , ColourTechnique> list_ListColourTechnique("list");
  150: static SimpleObjectMaker<GradientsColourTechnique , ColourTechnique> gradients_GradientsColourTechnique("gradients");
  151: static SimpleObjectMaker<PaletteColourTechnique , ColourTechnique> palette_PaletteColourTechnique("palette");
  152  

/Users/sylvie/build/magics/src/params/KMLDriverAttributes.cc:
  159  }
  160  
  161: static MagicsParameter<string> kml_kmz("kml_kmz", "on", "");
  162: static MagicsParameter<string> kml_description("kml_description", "Generated by Magics++", "");
  163: static MagicsParameter<string> kml_author("kml_author", "", "");
  164: static MagicsParameter<string> kml_link("kml_link", "", "");
  165: static MagicsParameter<double> kml_height("kml_height", 5.0, "");
  166: static MagicsParameter<double> kml_latitude("kml_latitude", 40.0, "");
  167: static MagicsParameter<double> kml_longitude("kml_longitude", 0.0, "");
  168: static MagicsParameter<int> kml_transparency("kml_transparency", 100, "");
  169: static MagicsParameter<int> kml_tilt("kml_tilt", 0, "");
  170: static MagicsParameter<int> kml_range("kml_range", 6000, "");
  171: static MagicsParameter<string> kml_coastlines("kml_coastlines", "off", "");
  172  

/Users/sylvie/build/magics/src/params/LabelPlottingAttributes.cc:
  160  }
  161  
  162: static MagicsParameter<string> map_label_font("map_label_font", "sansserif", "");
  163: static MagicsParameter<string> map_label_font_style("map_label_font_style", "normal", "");
  164: static MagicsParameter<double> map_label_height("map_label_height", 0.25, "");
  165: static MagicsParameter<string> map_label_blanking("map_label_blanking", "on", "");
  166: static MagicsParameter<int> map_label_latitude_frequency("map_label_latitude_frequency", 1, "");
  167: static MagicsParameter<int> map_label_longitude_frequency("map_label_longitude_frequency", 1, "");
  168: static MagicsParameter<string> map_label_left("map_label_left", "on", "");
  169: static MagicsParameter<string> map_label_right("map_label_right", "on", "");
  170: static MagicsParameter<string> map_label_top("map_label_top", "on", "");
  171: static MagicsParameter<string> map_label_bottom("map_label_bottom", "on", "");
  172: static MagicsParameter<string> map_label_colour("map_label_colour", "black", ""); 
  173  

/Users/sylvie/build/magics/src/params/LandgramBoxAttributes.cc:
  147  }
  148  
  149: static MagicsParameter<double> landgram_width("landgram_width", 6, "");
  150: static MagicsParameter<string> landgram_top_box1_shading("landgram_top_box1_shading", "solid", "");
  151: static MagicsParameter<string> landgram_top_box2_shading("landgram_top_box2_shading", "dot", "");
  152: static MagicsParameter<string> landgram_bottom_box1_shading("landgram_bottom_box1_shading", "solid", "");
  153: static MagicsParameter<string> landgram_bottom_box2_shading("landgram_bottom_box2_shading", "dot", "");
  154: static MagicsParameter<string> landgram_top_box1_colour("landgram_top_box1_colour", "evergreen", ""); 
  155: static MagicsParameter<string> landgram_top_box2_colour("landgram_top_box2_colour", "evergreen", ""); 
  156: static MagicsParameter<string> landgram_bottom_box1_colour("landgram_bottom_box1_colour", "evergreen", ""); 
  157: static MagicsParameter<string> landgram_bottom_box2_colour("landgram_bottom_box2_colour", "evergreen", ""); 
  158  

/Users/sylvie/build/magics/src/params/LandgramDecoderAttributes.cc:
  117  }
  118  
  119: static MagicsParameter<string> landgram_input_file_name("landgram_input_file_name", "", "");
  120: static MagicsParameter<double> landgram_input_scaling_factor("landgram_input_scaling_factor", 1, "");
  121: static MagicsParameter<double> landgram_input_offset_factor("landgram_input_offset_factor", 0, "");
  122: static MagicsParameter<string> landgram_title("landgram_title", "landgram parameter", "");
  123  

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.cc:
  421  }
  422  
  423: static MagicsParameter<string> legend_title("legend_title", "off", "");
  424: static MagicsParameter<string> legend_title_text("legend_title_text", "legend", "");
  425: static MagicsParameter<string> legend_title_orientation("legend_title_orientation", "automatic", "");
  426: static MagicsParameter<double> legend_title_font_size("legend_title_font_size", -1, "");
  427: static MagicsParameter<double> legend_title_position_ratio("legend_title_position_ratio", 25, "");
  428: static MagicsParameter<string> legend_units_text("legend_units_text", "", "");
  429: static MagicsParameter<string> legend_user_minimum("legend_user_minimum", "off", "");
  430: static MagicsParameter<string> legend_user_minimum_text("legend_user_minimum_text", "", "");
  431: static MagicsParameter<string> legend_user_maximum("legend_user_maximum", "off", "");
  432: static MagicsParameter<string> legend_user_maximum_text("legend_user_maximum_text", "", "");
  433: static MagicsParameter<string> legend_text_format("legend_text_format", "(automatic)", "");
  434: static MagicsParameter<string> legend_box_mode("legend_box_mode", "automatic", "");
  435: static MagicsParameter<string> legend_automatic_position("legend_automatic_position", "top", "");
  436: static MagicsParameter<string> legend_text_font("legend_text_font", "sansserif", "");
  437: static MagicsParameter<string> legend_text_font_style("legend_text_font_style", "normal", "");
  438: static MagicsParameter<string> legend_text_font_size("legend_text_font_size", "0.3", "");
  439: static MagicsParameter<string> legend_text_quality("legend_text_quality", "medium", "");
  440: static MagicsParameter<double> legend_text_orientation("legend_text_orientation", 0, "");
  441: static MagicsParameter<stringarray> legend_user_lines("legend_user_lines", stringarray(), "");
  442: static MagicsParameter<int> legend_column_count("legend_column_count", 1, "");
  443: static MagicsParameter<string> legend_entry_plot_direction("legend_entry_plot_direction", "automatic", "");
  444: static MagicsParameter<string> legend_entry_plot_orientation("legend_entry_plot_orientation", "bottom_top", "");
  445: static MagicsParameter<string> legend_text_composition("legend_text_composition", "automatic_text_only", "");
  446: static MagicsParameter<doublearray> legend_values_list("legend_values_list", floatarray(), "");
  447: static MagicsParameter<string> legend_user_text("legend_user_text", "", "");
  448: static MagicsParameter<string> legend_user_text_1("legend_user_text_1", "", "");
  449: static MagicsParameter<string> legend_user_text_2("legend_user_text_2", "", "");
  450: static MagicsParameter<string> legend_user_text_3("legend_user_text_3", "", "");
  451: static MagicsParameter<string> legend_user_text_4("legend_user_text_4", "", "");
  452: static MagicsParameter<string> legend_user_text_5("legend_user_text_5", "", "");
  453: static MagicsParameter<string> legend_user_text_6("legend_user_text_6", "", "");
  454: static MagicsParameter<string> legend_user_text_7("legend_user_text_7", "", "");
  455: static MagicsParameter<string> legend_user_text_8("legend_user_text_8", "", "");
  456: static MagicsParameter<string> legend_user_text_9("legend_user_text_9", "", "");
  457: static MagicsParameter<string> legend_user_text_10("legend_user_text_10", "", "");
  458: static MagicsParameter<double> legend_symbol_height_factor("legend_symbol_height_factor", 1, "");
  459: static MagicsParameter<double> legend_box_x_position("legend_box_x_position", -1, "");
  460: static MagicsParameter<double> legend_box_y_position("legend_box_y_position", -1, "");
  461: static MagicsParameter<double> legend_box_x_length("legend_box_x_length", -1, "");
  462: static MagicsParameter<double> legend_box_y_length("legend_box_y_length", 0, "");
  463: static MagicsParameter<string> legend_box_blanking("legend_box_blanking", "off", "");
  464: static MagicsParameter<string> legend_border("legend_border", "off", "");
  465: static MagicsParameter<int> legend_border_thickness("legend_border_thickness", 1, "");
  466: static MagicsParameter<string> legend_wrep("legend_wrep", "off", "");
  467: static MagicsParameter<string> legend_only("legend_only", "off", "");
  468: static MagicsParameter<double> legend_entry_text_width("legend_entry_text_width", 60, "");
  469: static MagicsParameter<string> legend_entry_border("legend_entry_border", "on", "");
  470: static MagicsParameter<string> legend_text_colour("legend_text_colour", "blue", ""); 
  471: static MagicsParameter<string> legend_title_font_colour("legend_title_font_colour", "automatic", ""); 
  472: static MagicsParameter<string> legend_title_position("legend_title_position", "automatic", ""); 
  473: static MagicsParameter<string> legend_display_type("legend_display_type", "disjoint", ""); 
  474: static MagicsParameter<string> legend_border_line_style("legend_border_line_style", "solid", ""); 
  475: static MagicsParameter<string> legend_border_colour("legend_border_colour", "blue", ""); 
  476: static MagicsParameter<string> legend_entry_border_colour("legend_entry_border_colour", "black", ""); 
  477  #include "LegendMethod.h"
  478: static SimpleObjectMaker<LegendMethod , LegendMethod> disjoint_LegendMethod("disjoint");
  479: static SimpleObjectMaker<ContinuousLegendMethod , LegendMethod> continuous_ContinuousLegendMethod("continuous");
  480: static SimpleObjectMaker<HistogramLegendMethod , LegendMethod> histogram_HistogramLegendMethod("histogram");
  481  

/Users/sylvie/build/magics/src/params/LevelListSelectionTypeAttributes.cc:
   99  }
  100  
  101: static MagicsParameter<doublearray> contour_level_list("contour_level_list", floatarray(), "");
  102  

/Users/sylvie/build/magics/src/params/LevelSelectionAttributes.cc:
  117  }
  118  
  119: static MagicsParameter<double> contour_max_level("contour_max_level", 1.0e+21, "");
  120: static MagicsParameter<double> contour_min_level("contour_min_level", -1.0e+21, "");
  121: static MagicsParameter<double> contour_shade_max_level("contour_shade_max_level", 1.0e+21, "");
  122: static MagicsParameter<double> contour_shade_min_level("contour_shade_min_level", -1.0e+21, "");
  123  

/Users/sylvie/build/magics/src/params/ListColourTechniqueAttributes.cc:
  103  }
  104  
  105: static MagicsParameter<stringarray> contour_shade_colour_list("contour_shade_colour_list", stringarray(), "");
  106  

/Users/sylvie/build/magics/src/params/LogoPlottingAttributes.cc:
   99  }
  100  
  101: static MagicsParameter<string> page_id_line_logo_name("page_id_line_logo_name", "ecmwf", "");
  102  

/Users/sylvie/build/magics/src/params/LookupTableModeAttributes.cc:
  111  }
  112  
  113: static MagicsParameter<int> image_min_level("image_min_level", -1.0e+21, "");
  114: static MagicsParameter<int> image_max_level("image_max_level", 1.0e+21, "");
  115: static MagicsParameter<double> image_outlayer_rejection("image_outlayer_rejection", 0, "");
  116  

/Users/sylvie/build/magics/src/params/MagicsGlobalAttributes.cc:
   99  }
  100  
  101: static MagicsParameter<string> magics_silent("magics_silent", "off", "");
  102  

/Users/sylvie/build/magics/src/params/MagnifierVisitorAttributes.cc:
  153  }
  154  
  155: static MagicsParameter<string> magnifier_symbol_name("magnifier_symbol_name", "magics_3", "");
  156: static MagicsParameter<string> magnifier_hidden_symbol_name("magnifier_hidden_symbol_name", "magics_3", "");
  157: static MagicsParameter<double> magnifier_symbol_height("magnifier_symbol_height", 0.2, "");
  158: static MagicsParameter<double> magnifier_hidden_symbol_height("magnifier_hidden_symbol_height", 0.1, "");
  159: static MagicsParameter<string> magnifier_text_font("magnifier_text_font", "sanserif", "");
  160: static MagicsParameter<double> magnifier_text_font_size("magnifier_text_font_size", 0.2, "");
  161: static MagicsParameter<string> magnifier_text_format("magnifier_text_format", "(automatic)", "");
  162: static MagicsParameter<string> magnifier_symbol_colour("magnifier_symbol_colour", "red", ""); 
  163: static MagicsParameter<string> magnifier_hidden_symbol_colour("magnifier_hidden_symbol_colour", "navy", ""); 
  164: static MagicsParameter<string> magnifier_text_font_colour("magnifier_text_font_colour", "navy", ""); 
  165  

/Users/sylvie/build/magics/src/params/MapGenDecoderAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<string> mapgen_input_file_name("mapgen_input_file_name", "", "");
  108: static MagicsParameter<int> mapgen_record("mapgen_record", -1, "");
  109  

/Users/sylvie/build/magics/src/params/MarkerShadingTechniqueAttributes.cc:
  127  }
  128  
  129: static MagicsParameter<stringarray> contour_shade_colour_table("contour_shade_colour_table", stringarray(), "");
  130: static MagicsParameter<doublearray> contour_shade_height_table("contour_shade_height_table", floatarray(), "");
  131: static MagicsParameter<string> contour_shade_marker_table_type("contour_shade_marker_table_type", "index", "");
  132: static MagicsParameter<intarray> contour_shade_marker_table("contour_shade_marker_table", intarray(), "");
  133: static MagicsParameter<stringarray> contour_shade_marker_name_table("contour_shade_marker_name_table", stringarray(), "");
  134  

/Users/sylvie/build/magics/src/params/MarkerValuePlotMethodAttributes.cc:
  119  }
  120  
  121: static MagicsParameter<double> contour_grid_value_marker_height("contour_grid_value_marker_height", 0.25, "");
  122: static MagicsParameter<string> contour_grid_value_marker_qual("contour_grid_value_marker_qual", "low", "");
  123: static MagicsParameter<int> contour_grid_value_marker_index("contour_grid_value_marker_index", 3, "");
  124: static MagicsParameter<string> contour_grid_value_marker_colour("contour_grid_value_marker_colour", "red", ""); 
  125  

/Users/sylvie/build/magics/src/params/MetaDataAttributes.cc:
  135  }
  136  
  137: static MagicsParameter<string> metadata_path("metadata_path", "meta.xml", "");
  138: static MagicsParameter<string> javascript_path("javascript_path", "", "");
  139: static MagicsParameter<string> profile_path("profile_path", "", "");
  140: static MagicsParameter<string> world_file_path("world_file_path", "", "");
  141: static MagicsParameter<string> metadata_wms_file("metadata_wms_file", "", "");
  142: static MagicsParameter<string> efi_path("efi_path", "", "");
  143: static MagicsParameter<string> efi_template("efi_template", "efi_template.js", "");
  144  

/Users/sylvie/build/magics/src/params/MetgramBarAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<string> metgram_bar_keyword("metgram_bar_keyword", "curve1", "");
  108: static MagicsParameter<string> metgram_bar_colour("metgram_bar_colour", "blue", ""); 
  109  

/Users/sylvie/build/magics/src/params/MetgramCurveAttributes.cc:
  141  }
  142  
  143: static MagicsParameter<string> metgram_curve_keyword("metgram_curve_keyword", "curve1", "");
  144: static MagicsParameter<string> metgram_curve_keyword2("metgram_curve_keyword2", "curve2", "");
  145: static MagicsParameter<int> metgram_curve_thickness("metgram_curve_thickness", 2, "");
  146: static MagicsParameter<int> metgram_curve2_thickness("metgram_curve2_thickness", 2, "");
  147: static MagicsParameter<string> metgram_curve_line_style("metgram_curve_line_style", "solid", ""); 
  148: static MagicsParameter<string> metgram_curve2_line_style("metgram_curve2_line_style", "solid", ""); 
  149: static MagicsParameter<string> metgram_curve_colour("metgram_curve_colour", "red", ""); 
  150: static MagicsParameter<string> metgram_curve2_colour("metgram_curve2_colour", "blue", ""); 
  151  

/Users/sylvie/build/magics/src/params/MetgramFlagsAttributes.cc:
  129  }
  130  
  131: static MagicsParameter<int> metgram_flag_frequency("metgram_flag_frequency", 1, "");
  132: static MagicsParameter<string> metgram_flag_method("metgram_flag_method", "SD", "");
  133: static MagicsParameter<string> metgram_flag_component1("metgram_flag_component1", "curve1", "");
  134: static MagicsParameter<string> metgram_flag_component2("metgram_flag_component2", "curve2", "");
  135: static MagicsParameter<double> metgram_flag_length("metgram_flag_length", 0.5, "");
  136: static MagicsParameter<string> metgram_flag_colour("metgram_flag_colour", "red", ""); 
  137  

/Users/sylvie/build/magics/src/params/MetgramGraphAttributes.cc:
  103  }
  104  
  105: static MagicsParameter<string> metgram_plot_style("metgram_plot_style", "curve", ""); 
  106  #include "MetgramStyle.h"
  107: static SimpleObjectMaker<MetgramBar , MetgramStyle> bar_MetgramBar("bar");
  108: static SimpleObjectMaker<MetgramFlags , MetgramStyle> flags_MetgramFlags("flags");
  109: static SimpleObjectMaker<MetgramCurve , MetgramStyle> curve_MetgramCurve("curve");
  110  

/Users/sylvie/build/magics/src/params/MvRootSceneNodeAttributes.cc:
  153  }
  154  
  155: static MagicsParameter<double> super_page_x_length("super_page_x_length", 29.7, "");
  156: static MagicsParameter<double> super_page_y_length("super_page_y_length", 21.0, "");
  157: static MagicsParameter<string> super_page_frame("super_page_frame", "off", "");
  158: static MagicsParameter<int> super_page_frame_thickness("super_page_frame_thickness", 1, "");
  159: static MagicsParameter<string> layout("layout", "automatic", "");
  160: static MagicsParameter<string> plot_start("plot_start", "bottom", "");
  161: static MagicsParameter<string> plot_direction("plot_direction", "vertical", "");
  162: static MagicsParameter<string> legend("legend", "off", "");
  163: static MagicsParameter<string> super_page_frame_colour("super_page_frame_colour", "blue", ""); 
  164: static MagicsParameter<string> super_page_frame_line_style("super_page_frame_line_style", "solid", ""); 
  165  

/Users/sylvie/build/magics/src/params/NetcdfDecoderAttributes.cc:
  109  }
  110  
  111: static MagicsParameter<string> netcdf_metadata("netcdf_metadata", "{}", "");
  112: static MagicsParameter<string> netcdf_type("netcdf_type", "guess", ""); 
  113  #include "NetcdfInterpretor.h"
  114  #include "NetcdfMatrixInterpretor.h"
  ...
  117  #include "NetcdfGeopointsInterpretor.h"
  118  #include "NetcdfOrcaInterpretor.h"
  119: static SimpleObjectMaker<NetcdfGuessInterpretor , NetcdfInterpretor> guess_NetcdfGuessInterpretor("guess");
  120: static SimpleObjectMaker<NetcdfMatrixInterpretor , NetcdfInterpretor> matrix_NetcdfMatrixInterpretor("matrix");
  121: static SimpleObjectMaker<NetcdfGeoMatrixInterpretor , NetcdfInterpretor> geomatrix_NetcdfGeoMatrixInterpretor("geomatrix");
  122: static SimpleObjectMaker<NetcdfVectorInterpretor , NetcdfInterpretor> vector_NetcdfVectorInterpretor("vector");
  123: static SimpleObjectMaker<NetcdfGeoVectorInterpretor , NetcdfInterpretor> geovector_NetcdfGeoVectorInterpretor("geovector");
  124: static SimpleObjectMaker<NetcdfGeoPolarMatrixInterpretor , NetcdfInterpretor> geopolarmatrix_NetcdfGeoPolarMatrixInterpretor("geopolarmatrix");
  125: static SimpleObjectMaker<NetcdfGeopointsInterpretor , NetcdfInterpretor> geopoint_NetcdfGeopointsInterpretor("geopoint");
  126: static SimpleObjectMaker<NetcdfXYpointsInterpretor , NetcdfInterpretor> xypoint_NetcdfXYpointsInterpretor("xypoint");
  127: static SimpleObjectMaker<NetcdfOrcaInterpretor , NetcdfInterpretor> complex_matrix_NetcdfOrcaInterpretor("complex_matrix");
  128  

/Users/sylvie/build/magics/src/params/NetcdfInterpretorAttributes.cc:
  291  }
  292  
  293: static MagicsParameter<string> netcdf_filename("netcdf_filename", "", "");
  294: static MagicsParameter<stringarray> netcdf_dimension_setting("netcdf_dimension_setting", stringarray(), "");
  295: static MagicsParameter<string> netcdf_time_variable("netcdf_time_variable", "time", "");
  296: static MagicsParameter<string> netcdf_level_variable("netcdf_level_variable", "level", "");
  297: static MagicsParameter<string> netcdf_number_variable("netcdf_number_variable", "number", "");
  298: static MagicsParameter<string> netcdf_time_dimension_setting("netcdf_time_dimension_setting", "", "");
  299: static MagicsParameter<string> netcdf_level_dimension_setting("netcdf_level_dimension_setting", "", "");
  300: static MagicsParameter<string> netcdf_number_dimension_setting("netcdf_number_dimension_setting", "", "");
  301: static MagicsParameter<string> netcdf_dimension_setting_method("netcdf_dimension_setting_method", "value", "");
  302: static MagicsParameter<string> netcdf_latitude_variable("netcdf_latitude_variable", "latitude", "");
  303: static MagicsParameter<string> netcdf_longitude_variable("netcdf_longitude_variable", "longitude", "");
  304: static MagicsParameter<string> netcdf_speed_component_variable("netcdf_speed_component_variable", "", "");
  305: static MagicsParameter<string> netcdf_direction_component_variable("netcdf_direction_component_variable", "", "");
  306: static MagicsParameter<string> netcdf_value_variable("netcdf_value_variable", "", "");
  307: static MagicsParameter<string> netcdf_x_component_variable("netcdf_x_component_variable", "", "");
  308: static MagicsParameter<string> netcdf_y_component_variable("netcdf_y_component_variable", "", "");
  309: static MagicsParameter<string> netcdf_colour_component_variable("netcdf_colour_component_variable", "", "");
  310: static MagicsParameter<string> netcdf_field_automatic_scaling("netcdf_field_automatic_scaling", "on", "");
  311: static MagicsParameter<double> netcdf_field_scaling_factor("netcdf_field_scaling_factor", 1, "");
  312: static MagicsParameter<double> netcdf_field_add_offset("netcdf_field_add_offset", 0, "");
  313: static MagicsParameter<string> netcdf_missing_attribute("netcdf_missing_attribute", "_FillValue", "");
  314: static MagicsParameter<string> netcdf_reference_date("netcdf_reference_date", "0", "");
  315: static MagicsParameter<double> netcdf_field_suppress_below("netcdf_field_suppress_below", -1.0e+21, "");
  316: static MagicsParameter<double> netcdf_field_suppress_above("netcdf_field_suppress_above", 1.0e+21, "");
  317: static MagicsParameter<string> netcdf_x_variable("netcdf_x_variable", "x", "");
  318: static MagicsParameter<string> netcdf_x2_variable("netcdf_x2_variable", "x2", "");
  319: static MagicsParameter<string> netcdf_y_variable("netcdf_y_variable", "y", "");
  320: static MagicsParameter<string> netcdf_y2_variable("netcdf_y2_variable", "y2", "");
  321: static MagicsParameter<string> netcdf_x_auxiliary_variable("netcdf_x_auxiliary_variable", "", "");
  322: static MagicsParameter<string> netcdf_x_geoline_convention("netcdf_x_geoline_convention", "lonlat", "");
  323: static MagicsParameter<string> netcdf_y_geoline_convention("netcdf_y_geoline_convention", "lonlat", "");
  324: static MagicsParameter<string> netcdf_y_auxiliary_variable("netcdf_y_auxiliary_variable", "", "");
  325: static MagicsParameter<string> netcdf_matrix_primary_index("netcdf_matrix_primary_index", "longitude", "");
  326  

/Users/sylvie/build/magics/src/params/NoCoastPlottingAttributes.cc:
  240  }
  241  
  242: static MagicsParameter<string> map_coastline_resolution("map_coastline_resolution", "automatic", "");
  243: static MagicsParameter<string> map_coastline_land_shade("map_coastline_land_shade", "off", "");
  244: static MagicsParameter<string> map_coastline_sea_shade("map_coastline_sea_shade", "off", "");
  245: static MagicsParameter<string> map_preview("map_preview", "off", "");
  246: static MagicsParameter<string> map_rivers("map_rivers", "off", "");
  247: static MagicsParameter<int> map_rivers_thickness("map_rivers_thickness", 1, "");
  248: static MagicsParameter<string> map_efas("map_efas", "off", "");
  249: static MagicsParameter<string> map_efas_domain("map_efas_domain", "current", "");
  250: static MagicsParameter<int> map_efas_thickness("map_efas_thickness", 1, "");
  251: static MagicsParameter<string> map_user_layer("map_user_layer", "off", "");
  252: static MagicsParameter<string> map_user_layer_name("map_user_layer_name", "", "");
  253: static MagicsParameter<string> map_user_layer_projection("map_user_layer_projection", "", "");
  254: static MagicsParameter<int> map_user_layer_thickness("map_user_layer_thickness", 1, "");
  255: static MagicsParameter<string> map_coastline_land_shade_colour("map_coastline_land_shade_colour", "green", ""); 
  256: static MagicsParameter<string> map_coastline_sea_shade_colour("map_coastline_sea_shade_colour", "blue", ""); 
  257: static MagicsParameter<string> map_boundaries("map_boundaries", "off", ""); 
  258: static MagicsParameter<string> map_cities("map_cities", "off", ""); 
  259: static MagicsParameter<string> map_rivers_style("map_rivers_style", "solid", ""); 
  260: static MagicsParameter<string> map_rivers_colour("map_rivers_colour", "blue", ""); 
  261: static MagicsParameter<string> map_efas_style("map_efas_style", "solid", ""); 
  262: static MagicsParameter<string> map_efas_colour("map_efas_colour", "blue", ""); 
  263: static MagicsParameter<string> map_user_layer_style("map_user_layer_style", "solid", ""); 
  264: static MagicsParameter<string> map_user_layer_colour("map_user_layer_colour", "blue", ""); 
  265  #include "Boundaries.h"
  266: static SimpleObjectMaker<Boundaries , NoBoundaries> boundaries_Boundaries("boundaries");
  267: static SimpleObjectMaker<Boundaries , NoBoundaries> on_Boundaries("on");
  268: static SimpleObjectMaker<NoBoundaries , NoBoundaries> noboundaries_NoBoundaries("noboundaries");
  269: static SimpleObjectMaker<NoBoundaries , NoBoundaries> off_NoBoundaries("off");
  270: static SimpleObjectMaker<Cities , NoCities> cities_Cities("cities");
  271: static SimpleObjectMaker<Cities , NoCities> on_Cities("on");
  272: static SimpleObjectMaker<NoCities , NoCities> nocities_NoCities("nocities");
  273: static SimpleObjectMaker<NoCities , NoCities> off_NoCities("off");
  274  

/Users/sylvie/build/magics/src/params/NoGridPlottingAttributes.cc:
  117  }
  118  
  119: static MagicsParameter<double> map_grid_latitude_reference("map_grid_latitude_reference", 0, "");
  120: static MagicsParameter<double> map_grid_latitude_increment("map_grid_latitude_increment", 10, "");
  121: static MagicsParameter<double> map_grid_longitude_reference("map_grid_longitude_reference", 0, "");
  122: static MagicsParameter<double> map_grid_longitude_increment("map_grid_longitude_increment", 20, "");
  123  

/Users/sylvie/build/magics/src/params/ObsDecoderAttributes.cc:
  123  }
  124  
  125: static MagicsParameter<string> obs_input_file_name("obs_input_file_name", "", "");
  126: static MagicsParameter<int> obs_level("obs_level", 500, "");
  127: static MagicsParameter<int> obs_level_2("obs_level_2", 1000, "");
  128: static MagicsParameter<int> obs_level_tolerance("obs_level_tolerance", 0, "");
  129: static MagicsParameter<stringarray> obs_type_list("obs_type_list", stringarray(), "");
  130  

/Users/sylvie/build/magics/src/params/ObsJSonAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<string> obsjson_input_filename("obsjson_input_filename", "", "");
  108: static MagicsParameter<stringarray> obsjson_info_list("obsjson_info_list", stringarray(), "");
  109  

/Users/sylvie/build/magics/src/params/ObsPlottingAttributes.cc:
  357  }
  358  
  359: static MagicsParameter<double> obs_distance_apart("obs_distance_apart", 1.0, "");
  360: static MagicsParameter<double> obs_size("obs_size", 0.25, "");
  361: static MagicsParameter<double> obs_ring_size("obs_ring_size", -1, "");
  362: static MagicsParameter<string> obs_present_weather("obs_present_weather", "on", "");
  363: static MagicsParameter<string> obs_pressure("obs_pressure", "on", "");
  364: static MagicsParameter<string> obs_upper_air_pressure("obs_upper_air_pressure", "off", "");
  365: static MagicsParameter<string> obs_pressure_tendency("obs_pressure_tendency", "on", "");
  366: static MagicsParameter<string> obs_station_ring("obs_station_ring", "on", "");
  367: static MagicsParameter<string> obs_temperature("obs_temperature", "on", "");
  368: static MagicsParameter<string> obs_thickness("obs_thickness", "on", "");
  369: static MagicsParameter<string> obs_height("obs_height", "on", "");
  370: static MagicsParameter<string> obs_identification("obs_identification", "off", "");
  371: static MagicsParameter<string> obs_cloud("obs_cloud", "on", "");
  372: static MagicsParameter<string> obs_low_cloud("obs_low_cloud", "on", "");
  373: static MagicsParameter<string> obs_medium_cloud("obs_medium_cloud", "on", "");
  374: static MagicsParameter<string> obs_high_cloud("obs_high_cloud", "on", "");
  375: static MagicsParameter<string> obs_dewpoint("obs_dewpoint", "on", "");
  376: static MagicsParameter<string> obs_sea_temperature("obs_sea_temperature", "on", "");
  377: static MagicsParameter<string> obs_waves("obs_waves", "on", "");
  378: static MagicsParameter<string> obs_past_weather("obs_past_weather", "on", "");
  379: static MagicsParameter<string> obs_time("obs_time", "off", "");
  380: static MagicsParameter<string> obs_visibility("obs_visibility", "on", "");
  381: static MagicsParameter<string> obs_wind("obs_wind", "on", "");
  382: static MagicsParameter<string> obs_wind_projected("obs_wind_projected", "on", "");
  383: static MagicsParameter<string> obs_colour("obs_colour", "black", ""); 
  384: static MagicsParameter<string> obs_present_weather_colour("obs_present_weather_colour", "automatic", ""); 
  385: static MagicsParameter<string> obs_pressure_colour("obs_pressure_colour", "automatic", ""); 
  386: static MagicsParameter<string> obs_upper_air_pressure_colour("obs_upper_air_pressure_colour", "automatic", ""); 
  387: static MagicsParameter<string> obs_pressure_tendency_colour("obs_pressure_tendency_colour", "red", ""); 
  388: static MagicsParameter<string> obs_station_ring_colour("obs_station_ring_colour", "automatic", ""); 
  389: static MagicsParameter<string> obs_temperature_colour("obs_temperature_colour", "automatic", ""); 
  390: static MagicsParameter<string> obs_thickness_colour("obs_thickness_colour", "automatic", ""); 
  391: static MagicsParameter<string> obs_height_colour("obs_height_colour", "automatic", ""); 
  392: static MagicsParameter<string> obs_identification_colour("obs_identification_colour", "automatic", ""); 
  393: static MagicsParameter<string> obs_low_cloud_colour("obs_low_cloud_colour", "automatic", ""); 
  394: static MagicsParameter<string> obs_medium_cloud_colour("obs_medium_cloud_colour", "automatic", ""); 
  395: static MagicsParameter<string> obs_high_cloud_colour("obs_high_cloud_colour", "red", ""); 
  396: static MagicsParameter<string> obs_dewpoint_colour("obs_dewpoint_colour", "red", ""); 
  397: static MagicsParameter<string> obs_sea_temperature_colour("obs_sea_temperature_colour", "black", ""); 
  398: static MagicsParameter<string> obs_waves_colour("obs_waves_colour", "black", ""); 
  399: static MagicsParameter<string> obs_past_weather_colour("obs_past_weather_colour", "red", ""); 
  400: static MagicsParameter<string> obs_time_colour("obs_time_colour", "automatic", ""); 
  401: static MagicsParameter<string> obs_visibility_colour("obs_visibility_colour", "automatic", ""); 
  402: static MagicsParameter<string> obs_wind_colour("obs_wind_colour", "automatic", ""); 
  403  

/Users/sylvie/build/magics/src/params/ObsStatDecoderAttributes.cc:
   99  }
  100  
  101: static MagicsParameter<string> obsstat_filename("obsstat_filename", "", "");
  102  

/Users/sylvie/build/magics/src/params/ObsTableAttributes.cc:
   99  }
  100  
  101: static MagicsParameter<string> obs_template_file_name("obs_template_file_name", "", "");
  102  

/Users/sylvie/build/magics/src/params/OutputHandlerAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<string> output_format("output_format", "ps", "");
  108: static MagicsParameter<stringarray> output_formats("output_formats", stringarray(), "");
  109  

/Users/sylvie/build/magics/src/params/PageIDAttributes.cc:
  164  }
  165  
  166: static MagicsParameter<double> page_id_line_height("page_id_line_height", 0.25, "");
  167: static MagicsParameter<string> page_id_line_magics("page_id_line_magics", "on", "");
  168: static MagicsParameter<string> page_id_line_user_text("page_id_line_user_text", "", "");
  169: static MagicsParameter<string> page_id_line_system_plot("page_id_line_system_plot", "on", "");
  170: static MagicsParameter<string> page_id_line_date_plot("page_id_line_date_plot", "on", "");
  171: static MagicsParameter<string> page_id_line_errors_plot("page_id_line_errors_plot", "on", "");
  172: static MagicsParameter<string> page_id_line_user_text_plot("page_id_line_user_text_plot", "on", "");
  173: static MagicsParameter<string> page_id_line_font("page_id_line_font", "sansserif", "");
  174: static MagicsParameter<string> page_id_line_font_style("page_id_line_font_style", "normal", "");
  175: static MagicsParameter<string> page_id_line_colour("page_id_line_colour", "ecmwf_blue", ""); 
  176: static MagicsParameter<string> page_id_line_logo_plot("page_id_line_logo_plot", "on", ""); 
  177  #include "LogoPlotting.h"
  178: static SimpleObjectMaker<LogoPlotting , NoLogoPlotting> logo_LogoPlotting("logo");
  179: static SimpleObjectMaker<LogoPlotting , NoLogoPlotting> on_LogoPlotting("on");
  180: static SimpleObjectMaker<NoLogoPlotting , NoLogoPlotting> nologo_NoLogoPlotting("nologo");
  181: static SimpleObjectMaker<NoLogoPlotting , NoLogoPlotting> off_NoLogoPlotting("off");
  182  

/Users/sylvie/build/magics/src/params/PaletteColourTechniqueAttributes.cc:
  105  }
  106  
  107: static MagicsParameter<string> contour_shade_palette_name("contour_shade_palette_name", "", "");
  108: static MagicsParameter<string> contour_shade_palette_policy("contour_shade_palette_policy", "lastone", ""); 
  109  

/Users/sylvie/build/magics/src/params/PolarStereographicProjectionAttributes.cc:
  162  }
  163  
  164: static MagicsParameter<string> subpage_map_area_coordinate_system("subpage_map_area_coordinate_system", "users", "");
  165: static MagicsParameter<string> subpage_map_area_definition_polar("subpage_map_area_definition_polar", "corners", "");
  166: static MagicsParameter<double> subpage_lower_left_latitude("subpage_lower_left_latitude", -90.0, "");
  167: static MagicsParameter<double> subpage_lower_left_longitude("subpage_lower_left_longitude", -180.0, "");
  168: static MagicsParameter<double> subpage_upper_right_latitude("subpage_upper_right_latitude", 90.0, "");
  169: static MagicsParameter<double> subpage_upper_right_longitude("subpage_upper_right_longitude", 180.0, "");
  170: static MagicsParameter<double> subpage_map_vertical_longitude("subpage_map_vertical_longitude", 0.0, "");
  171: static MagicsParameter<double> subpage_map_centre_latitude("subpage_map_centre_latitude", 90.0, "");
  172: static MagicsParameter<double> subpage_map_centre_longitude("subpage_map_centre_longitude", 0.0, "");
  173: static MagicsParameter<double> subpage_map_scale("subpage_map_scale", 50.e6, "");
  174: static MagicsParameter<string> subpage_map_hemisphere("subpage_map_hemisphere", "north", ""); 
  175  

/Users/sylvie/build/magics/src/params/PolyShadingTechniqueAttributes.cc:
  107  }
  108  
  109: static MagicsParameter<string> contour_shade_method("contour_shade_method", "dot", ""); 
  110  #include "PolyShadingMethod.h"
  111  #include "DotPolyShadingMethod.h"
  112  #include "HatchPolyShadingMethod.h"
  113: static SimpleObjectMaker<PolyShadingMethod , PolyShadingMethod> area_fill_PolyShadingMethod("area_fill");
  114: static SimpleObjectMaker<DotPolyShadingMethod , PolyShadingMethod> dot_DotPolyShadingMethod("dot");
  115: static SimpleObjectMaker<HatchPolyShadingMethod , PolyShadingMethod> hatch_HatchPolyShadingMethod("hatch");
  116  

/Users/sylvie/build/magics/src/params/PostScriptDriverAttributes.cc:
  112  }
  113  
  114: static MagicsParameter<string> output_ps_colour_model("output_ps_colour_model", "rgb", "");
  115: static MagicsParameter<double> output_ps_scale("output_ps_scale", 1.0, "");
  116: static MagicsParameter<string> output_ps_split("output_ps_split", "off", "");
  117  

/Users/sylvie/build/magics/src/params/Proj4ProjectionAttributes.cc:
  189  }
  190  
  191: static MagicsParameter<string> subpage_map_area_definition("subpage_map_area_definition", "full", "");
  192: static MagicsParameter<double> subpage_lower_left_latitude("subpage_lower_left_latitude", -90.0, "");
  193: static MagicsParameter<double> subpage_lower_left_longitude("subpage_lower_left_longitude", -180.0, "");
  194: static MagicsParameter<double> subpage_upper_right_latitude("subpage_upper_right_latitude", 90.0, "");
  195: static MagicsParameter<double> subpage_upper_right_longitude("subpage_upper_right_longitude", 180.0, "");
  196: static MagicsParameter<double> subpage_map_vertical_longitude("subpage_map_vertical_longitude", 0, "");
  197: static MagicsParameter<double> subpage_map_true_scale_north("subpage_map_true_scale_north", 06, "");
  198: static MagicsParameter<double> subpage_map_true_scale_south("subpage_map_true_scale_south", -60, "");
  199: static MagicsParameter<double> subpage_map_projection_height("subpage_map_projection_height", 42164000, "");
  200: static MagicsParameter<double> subpage_map_projection_tilt("subpage_map_projection_tilt", 0, "");
  201: static MagicsParameter<double> subpage_map_projection_azimuth("subpage_map_projection_azimuth", 20, "");
  202: static MagicsParameter<double> subpage_map_projection_view_latitude("subpage_map_projection_view_latitude", 20, "");
  203: static MagicsParameter<double> subpage_map_projection_view_longitude("subpage_map_projection_view_longitude", -60, "");
  204: static MagicsParameter<double> subpage_map_geos_sweep("subpage_map_geos_sweep", 0, "");
  205: static MagicsParameter<string> subpage_map_proj4_definition("subpage_map_proj4_definition", "", "");
  206: static MagicsParameter<string> subpage_coordinates_system("subpage_coordinates_system", "latlon", "");
  207  

/Users/sylvie/build/magics/src/params/SelectionModeAttributes.cc:
  129  }
  130  
  131: static MagicsParameter<int> selection_mode_background_opacity("selection_mode_background_opacity", 75, "");
  132: static MagicsParameter<int> selection_mode_line_thickness("selection_mode_line_thickness", 2, "");
  133: static MagicsParameter<int> selection_mode_object_instancies("selection_mode_object_instancies", 1, "");
  134: static MagicsParameter<string> selection_mode_background_colour("selection_mode_background_colour", "blue", ""); 
  135: static MagicsParameter<string> selection_mode_line_colour("selection_mode_line_colour", "blue", ""); 
  136: static MagicsParameter<string> selection_mode_line_style("selection_mode_line_style", "solid", ""); 
  137  

/Users/sylvie/build/magics/src/params/ShapeDecoderAttributes.cc:
   99  }
  100  
  101: static MagicsParameter<string> shape_input_file_name("shape_input_file_name", "", "");
  102  

/Users/sylvie/build/magics/src/params/SimplePolylineAttributes.cc:
  354  }
  355  
  356: static MagicsParameter<string> legend("legend", "off", "");
  357: static MagicsParameter<int> polyline_line_thickness("polyline_line_thickness", 1, "");
  358: static MagicsParameter<string> polyline_effect_method("polyline_effect_method", "classic", "");
  359: static MagicsParameter<int> polyline_trajectory_pivot_index("polyline_trajectory_pivot_index", -1, "");
  360: static MagicsParameter<int> polyline_trajectory_factor("polyline_trajectory_factor", -1, "");
  361: static MagicsParameter<int> polyline_level_count("polyline_level_count", 10, "");
  362: static MagicsParameter<int> polyline_level_tolerance("polyline_level_tolerance", 2, "");
  363: static MagicsParameter<double> polyline_reference_level("polyline_reference_level", 0.0, "");
  364: static MagicsParameter<double> polyline_interval("polyline_interval", 8.0, "");
  365: static MagicsParameter<doublearray> polyline_level_list("polyline_level_list", floatarray(), "");
  366: static MagicsParameter<string> polyline_shade("polyline_shade", "none", "");
  367: static MagicsParameter<double> polyline_shade_max_level("polyline_shade_max_level", 1.0e+21, "");
  368: static MagicsParameter<double> polyline_shade_min_level("polyline_shade_min_level", -1.0e+21, "");
  369: static MagicsParameter<string> polyline_shade_colour_direction("polyline_shade_colour_direction", "anti_clockwise", "");
  370: static MagicsParameter<stringarray> polyline_shade_colour_list("polyline_shade_colour_list", stringarray(), "");
  371: static MagicsParameter<string> polyline_priority_variable_name("polyline_priority_variable_name", "", "");
  372: static MagicsParameter<string> polyline_colour_variable_name("polyline_colour_variable_name", "", "");
  373: static MagicsParameter<stringarray> polyline_colour_list("polyline_colour_list", stringarray(), "");
  374: static MagicsParameter<doublearray> polyline_colour_level_list("polyline_colour_level_list", floatarray(), "");
  375: static MagicsParameter<string> polyline_line_style_variable_name("polyline_line_style_variable_name", "", "");
  376: static MagicsParameter<stringarray> polyline_line_style_list("polyline_line_style_list", stringarray(), "");
  377: static MagicsParameter<doublearray> polyline_line_style_level_list("polyline_line_style_level_list", floatarray(), "");
  378: static MagicsParameter<string> polyline_thickness_variable_name("polyline_thickness_variable_name", "", "");
  379: static MagicsParameter<doublearray> polyline_thickness_list("polyline_thickness_list", floatarray(), "");
  380: static MagicsParameter<doublearray> polyline_thickness_level_list("polyline_thickness_level_list", floatarray(), "");
  381: static MagicsParameter<string> polyline_transparency_variable_name("polyline_transparency_variable_name", "", "");
  382: static MagicsParameter<string> polyline_transparency_pivot_variable_name("polyline_transparency_pivot_variable_name", "", "");
  383: static MagicsParameter<string> polyline_pivot_marker("polyline_pivot_marker", "none", "");
  384: static MagicsParameter<string> polyline_pivot_marker_name("polyline_pivot_marker_name", "cyclone", "");
  385: static MagicsParameter<double> polyline_pivot_marker_height("polyline_pivot_marker_height", 0.4, "");
  386: static MagicsParameter<doublearray> polyline_transparency_level_list("polyline_transparency_level_list", floatarray(), "");
  387: static MagicsParameter<string> polyline_legend_only("polyline_legend_only", "off", "");
  388: static MagicsParameter<string> polyline_line_colour("polyline_line_colour", "blue", ""); 
  389: static MagicsParameter<string> polyline_line_style("polyline_line_style", "solid", ""); 
  390: static MagicsParameter<string> polyline_shade_level_selection_type("polyline_shade_level_selection_type", "count", ""); 
  391: static MagicsParameter<string> polyline_shade_colour_method("polyline_shade_colour_method", "calculate", ""); 
  392: static MagicsParameter<string> polyline_shade_max_level_colour("polyline_shade_max_level_colour", "blue", ""); 
  393: static MagicsParameter<string> polyline_shade_min_level_colour("polyline_shade_min_level_colour", "red", ""); 
  394: static MagicsParameter<string> polyline_colour_list_policy("polyline_colour_list_policy", "lastone", ""); 
  395: static MagicsParameter<string> polyline_line_style_list_policy("polyline_line_style_list_policy", "lastone", ""); 
  396: static MagicsParameter<string> polyline_thickness_list_policy("polyline_thickness_list_policy", "lastone", ""); 
  397: static MagicsParameter<string> polyline_pivot_marker_colour("polyline_pivot_marker_colour", "black", ""); 
  398  #include "CountSelectionType.h"
  399  #include "IntervalSelectionType.h"
  ...
  401  #include "CalculateColourTechnique.h"
  402  #include "ListColourTechnique.h"
  403: static SimpleObjectMaker<CountSelectionType , LevelSelection> count_CountSelectionType("count");
  404: static SimpleObjectMaker<IntervalSelectionType , LevelSelection> interval_IntervalSelectionType("interval");
  405: static SimpleObjectMaker<LevelListSelectionType , LevelSelection> list_LevelListSelectionType("list");
  406: static SimpleObjectMaker<CalculateColourTechnique , ColourTechnique> calculate_CalculateColourTechnique("calculate");
  407: static SimpleObjectMaker<ListColourTechnique , ColourTechnique> list_ListColourTechnique("list");
  408  

/Users/sylvie/build/magics/src/params/SimplePolylineInputAttributes.cc:
  130  }
  131  
  132: static MagicsParameter<doublearray> polyline_input_latitudes("polyline_input_latitudes", floatarray(), "");
  133: static MagicsParameter<doublearray> polyline_input_longitudes("polyline_input_longitudes", floatarray(), "");
  134: static MagicsParameter<doublearray> polyline_input_values("polyline_input_values", floatarray(), "");
  135: static MagicsParameter<double> polyline_input_break_indicator("polyline_input_break_indicator", -999, "");
  136: static MagicsParameter<string> polyline_input_positions_filename("polyline_input_positions_filename", "", "");
  137: static MagicsParameter<string> polyline_input_values_filename("polyline_input_values_filename", "", "");
  138  

/Users/sylvie/build/magics/src/params/SkewtAttributes.cc:
  135  }
  136  
  137: static MagicsParameter<double> x_min("x_min", 0, "");
  138: static MagicsParameter<string> subpage_x_automatic("subpage_x_automatic", "off", "");
  139: static MagicsParameter<string> subpage_y_automatic("subpage_y_automatic", "off", "");
  140: static MagicsParameter<double> x_max("x_max", 100, "");
  141: static MagicsParameter<double> y_min("y_min", 0, "");
  142: static MagicsParameter<double> y_max("y_max", 100, "");
  143: static MagicsParameter<double> thermo_annotation_width("thermo_annotation_width", 25, "");
  144  

/Users/sylvie/build/magics/src/params/StreamlinesAttributes.cc:
  136  }
  137  
  138: static MagicsParameter<double> wind_streamline_min_density("wind_streamline_min_density", 1, "");
  139: static MagicsParameter<double> wind_streamline_min_speed("wind_streamline_min_speed", 1, "");
  140: static MagicsParameter<int> wind_streamline_thickness("wind_streamline_thickness", 2, "");
  141: static MagicsParameter<int> wind_streamline_head_shape("wind_streamline_head_shape", 1, "");
  142: static MagicsParameter<double> wind_streamline_head_ratio("wind_streamline_head_ratio", 0.2, "");
  143: static MagicsParameter<string> wind_streamline_colour("wind_streamline_colour", "blue", ""); 
  144: static MagicsParameter<string> wind_streamline_style("wind_streamline_style", "solid", ""); 
  145  

/Users/sylvie/build/magics/src/params/SVGDriverAttributes.cc:
  124  }
  125  
  126: static MagicsParameter<string> output_svg_logo_location("output_svg_logo_location", "inline", "");
  127: static MagicsParameter<string> output_svg_desc("output_svg_desc", "", "");
  128: static MagicsParameter<string> output_svg_meta("output_svg_meta", "", "");
  129: static MagicsParameter<string> output_svg_use_external_files("output_svg_use_external_files", "off", "");
  130: static MagicsParameter<string> output_svg_fix_size("output_svg_fix_size", "off", "");
  131  

/Users/sylvie/build/magics/src/params/SymbolAdvancedTableModeAttributes.cc:
  302  }
  303  
  304: static MagicsParameter<double> symbol_advanced_table_min_value("symbol_advanced_table_min_value", -1.e21, "");
  305: static MagicsParameter<double> symbol_advanced_table_max_value("symbol_advanced_table_max_value", 1.e21, "");
  306: static MagicsParameter<int> symbol_advanced_table_level_count("symbol_advanced_table_level_count", 10, "");
  307: static MagicsParameter<int> symbol_advanced_table_level_tolerance("symbol_advanced_table_level_tolerance", 2, "");
  308: static MagicsParameter<double> symbol_advanced_table_interval("symbol_advanced_table_interval", 8.0, "");
  309: static MagicsParameter<double> symbol_advanced_table_reference_level("symbol_advanced_table_reference_level", 0.0, "");
  310: static MagicsParameter<doublearray> symbol_advanced_table_level_list("symbol_advanced_table_level_list", floatarray(), "");
  311: static MagicsParameter<string> symbol_advanced_table_colour_direction("symbol_advanced_table_colour_direction", "anti_clockwise", "");
  312: static MagicsParameter<stringarray> symbol_advanced_table_colour_list("symbol_advanced_table_colour_list", stringarray(), "");
  313: static MagicsParameter<intarray> symbol_advanced_table_marker_list("symbol_advanced_table_marker_list", intarray(), "");
  314: static MagicsParameter<stringarray> symbol_advanced_table_marker_name_list("symbol_advanced_table_marker_name_list", stringarray(), "");
  315: static MagicsParameter<double> symbol_advanced_table_height_max_value("symbol_advanced_table_height_max_value", 0.2, "");
  316: static MagicsParameter<double> symbol_advanced_table_height_min_value("symbol_advanced_table_height_min_value", 0.1, "");
  317: static MagicsParameter<doublearray> symbol_advanced_table_height_list("symbol_advanced_table_height_list", floatarray(), "");
  318: static MagicsParameter<stringarray> symbol_advanced_table_text_list("symbol_advanced_table_text_list", stringarray(), "");
  319: static MagicsParameter<string> symbol_advanced_table_text_font("symbol_advanced_table_text_font", "sansserif", "");
  320: static MagicsParameter<double> symbol_advanced_table_text_font_size("symbol_advanced_table_text_font_size", 0.25, "");
  321: static MagicsParameter<string> symbol_advanced_table_text_font_style("symbol_advanced_table_text_font_style", "normal", "");
  322: static MagicsParameter<string> symbol_advanced_table_text_display_type("symbol_advanced_table_text_display_type", "none", "");
  323: static MagicsParameter<double> symbol_advanced_table_outlayer_min_value("symbol_advanced_table_outlayer_min_value", -1.e21, "");
  324: static MagicsParameter<double> symbol_advanced_table_outlayer_max_value("symbol_advanced_table_outlayer_max_value", 1.e21, "");
  325: static MagicsParameter<string> symbol_advanced_table_selection_type("symbol_advanced_table_selection_type", "count", ""); 
  326: static MagicsParameter<string> symbol_advanced_table_colour_method("symbol_advanced_table_colour_method", "calculate", ""); 
  327: static MagicsParameter<string> symbol_advanced_table_max_level_colour("symbol_advanced_table_max_level_colour", "blue", ""); 
  328: static MagicsParameter<string> symbol_advanced_table_min_level_colour("symbol_advanced_table_min_level_colour", "red", ""); 
  329: static MagicsParameter<string> symbol_advanced_table_colour_list_policy("symbol_advanced_table_colour_list_policy", "lastone", ""); 
  330: static MagicsParameter<string> symbol_advanced_table_marker_list_policy("symbol_advanced_table_marker_list_policy", "lastone", ""); 
  331: static MagicsParameter<string> symbol_advanced_table_height_method("symbol_advanced_table_height_method", "list", ""); 
  332: static MagicsParameter<string> symbol_advanced_table_height_list_policy("symbol_advanced_table_height_list_policy", "lastone", ""); 
  333: static MagicsParameter<string> symbol_advanced_table_text_list_policy("symbol_advanced_table_text_list_policy", "cycle", ""); 
  334: static MagicsParameter<string> symbol_advanced_table_text_font_colour("symbol_advanced_table_text_font_colour", "automatic", ""); 
  335: static MagicsParameter<string> symbol_advanced_table_outlayer_method("symbol_advanced_table_outlayer_method", "none", ""); 
  336  #include "CountSelectionType.h"
  337  #include "IntervalSelectionType.h"
  ...
  341  #include "HeightTechnique.h"
  342  #include "OutLayerTechnique.h"
  343: static SimpleObjectMaker<CountSelectionType , LevelSelection> count_CountSelectionType("count");
  344: static SimpleObjectMaker<IntervalSelectionType , LevelSelection> interval_IntervalSelectionType("interval");
  345: static SimpleObjectMaker<LevelListSelectionType , LevelSelection> list_LevelListSelectionType("list");
  346: static SimpleObjectMaker<CalculateColourTechnique , ColourTechnique> calculate_CalculateColourTechnique("calculate");
  347: static SimpleObjectMaker<ListColourTechnique , ColourTechnique> list_ListColourTechnique("list");
  348: static SimpleObjectMaker<CalculateHeightTechnique , HeightTechnique> calculate_CalculateHeightTechnique("calculate");
  349: static SimpleObjectMaker<ListHeightTechnique , HeightTechnique> list_ListHeightTechnique("list");
  350: static SimpleObjectMaker<NoOutLayerTechnique , NoOutLayerTechnique> nooutlayer_NoOutLayerTechnique("nooutlayer");
  351: static SimpleObjectMaker<NoOutLayerTechnique , NoOutLayerTechnique> none_NoOutLayerTechnique("none");
  352: static SimpleObjectMaker<SimpleOutLayerTechnique , NoOutLayerTechnique> simple_SimpleOutLayerTechnique("simple");
  353  

/Users/sylvie/build/magics/src/params/SymbolIndividualModeAttributes.cc:
  195  }
  196  
  197: static MagicsParameter<string> legend_user_text("legend_user_text", "", "");
  198: static MagicsParameter<double> symbol_height("symbol_height", 0.2, "");
  199: static MagicsParameter<string> symbol_marker_mode("symbol_marker_mode", "index", "");
  200: static MagicsParameter<int> symbol_marker_index("symbol_marker_index", 1, "");
  201: static MagicsParameter<string> symbol_marker_name("symbol_marker_name", "dot", "");
  202: static MagicsParameter<string> symbol_image_path("symbol_image_path", "", "");
  203: static MagicsParameter<string> symbol_image_format("symbol_image_format", "automatic", "");
  204: static MagicsParameter<double> symbol_image_width("symbol_image_width", -1, "");
  205: static MagicsParameter<double> symbol_image_height("symbol_image_height", -1, "");
  206: static MagicsParameter<stringarray> symbol_text_list("symbol_text_list", stringarray(), "");
  207: static MagicsParameter<string> symbol_text_position("symbol_text_position", "right", "");
  208: static MagicsParameter<string> symbol_text_font("symbol_text_font", "sansserif", "");
  209: static MagicsParameter<double> symbol_text_font_size("symbol_text_font_size", 0.25, "");
  210: static MagicsParameter<string> symbol_text_font_style("symbol_text_font_style", "normal", "");
  211: static MagicsParameter<double> symbol_legend_height("symbol_legend_height", -1, "");
  212: static MagicsParameter<string> symbol_colour("symbol_colour", "BLUE", ""); 
  213: static MagicsParameter<string> symbol_text_font_colour("symbol_text_font_colour", "automatic", ""); 
  214  

/Users/sylvie/build/magics/src/params/SymbolInputAttributes.cc:
  130  }
  131  
  132: static MagicsParameter<doublearray> symbol_input_x_position("symbol_input_x_position", floatarray(), "");
  133: static MagicsParameter<doublearray> symbol_input_y_position("symbol_input_y_position", floatarray(), "");
  134: static MagicsParameter<doublearray> symbol_input_wind_speed("symbol_input_wind_speed", floatarray(), "");
  135: static MagicsParameter<doublearray> symbol_input_wind_direction("symbol_input_wind_direction", floatarray(), "");
  136: static MagicsParameter<doublearray> symbol_input_number_list("symbol_input_number_list", floatarray(), "");
  137: static MagicsParameter<string> symbol_position_mode("symbol_position_mode", "geographic", "");
  138  

/Users/sylvie/build/magics/src/params/SymbolPlottingAttributes.cc:
  211  }
  212  
  213: static MagicsParameter<string> legend("legend", "off", "");
  214: static MagicsParameter<string> symbol_scaling_method("symbol_scaling_method", "off", "");
  215: static MagicsParameter<double> symbol_scaling_level_0_height("symbol_scaling_level_0_height", 0.1, "");
  216: static MagicsParameter<double> symbol_scaling_factor("symbol_scaling_factor", 4., "");
  217: static MagicsParameter<string> symbol_type("symbol_type", "number", "");
  218: static MagicsParameter<string> symbol_marker_mode("symbol_marker_mode", "index", "");
  219: static MagicsParameter<string> symbol_format("symbol_format", "(automatic)", "");
  220: static MagicsParameter<string> symbol_text_blanking("symbol_text_blanking", "off", "");
  221: static MagicsParameter<string> symbol_outline("symbol_outline", "off", "");
  222: static MagicsParameter<int> symbol_outline_thickness("symbol_outline_thickness", 1, "");
  223: static MagicsParameter<string> symbol_connect_line("symbol_connect_line", "off", "");
  224: static MagicsParameter<string> symbol_connect_automatic_line_colour("symbol_connect_automatic_line_colour", "on", "");
  225: static MagicsParameter<int> symbol_connect_line_thickness("symbol_connect_line_thickness", 1, "");
  226: static MagicsParameter<string> symbol_legend_only("symbol_legend_only", "off", "");
  227: static MagicsParameter<string> symbol_table_mode("symbol_table_mode", "OFF", ""); 
  228: static MagicsParameter<string> symbol_outline_colour("symbol_outline_colour", "black", ""); 
  229: static MagicsParameter<string> symbol_outline_style("symbol_outline_style", "solid", ""); 
  230: static MagicsParameter<string> symbol_connect_line_colour("symbol_connect_line_colour", "black", ""); 
  231: static MagicsParameter<string> symbol_connect_line_style("symbol_connect_line_style", "solid", ""); 
  232  #include "SymbolMode.h"
  233  #include "SymbolAdvancedTableMode.h"
  234: static SimpleObjectMaker<SymbolIndividualMode , SymbolMode> individual_SymbolIndividualMode("individual");
  235: static SimpleObjectMaker<SymbolIndividualMode , SymbolMode> off_SymbolIndividualMode("off");
  236: static SimpleObjectMaker<SymbolAdvancedTableMode , SymbolMode> advanced_SymbolAdvancedTableMode("advanced");
  237: static SimpleObjectMaker<SymbolTableMode , SymbolMode> table_SymbolTableMode("table");
  238: static SimpleObjectMaker<SymbolTableMode , SymbolMode> on_SymbolTableMode("on");
  239  

/Users/sylvie/build/magics/src/params/SymbolTableModeAttributes.cc:
  129  }
  130  
  131: static MagicsParameter<doublearray> symbol_min_table("symbol_min_table", floatarray(), "");
  132: static MagicsParameter<doublearray> symbol_max_table("symbol_max_table", floatarray(), "");
  133: static MagicsParameter<intarray> symbol_marker_table("symbol_marker_table", intarray(), "");
  134: static MagicsParameter<stringarray> symbol_name_table("symbol_name_table", stringarray(), "");
  135: static MagicsParameter<stringarray> symbol_colour_table("symbol_colour_table", stringarray(), "");
  136: static MagicsParameter<doublearray> symbol_height_table("symbol_height_table", floatarray(), "");
  137  

/Users/sylvie/build/magics/src/params/TableDecoderAttributes.cc:
  211  }
  212  
  213: static MagicsParameter<string> table_filename("table_filename", "", "");
  214: static MagicsParameter<string> table_delimiter("table_delimiter", ",", "");
  215: static MagicsParameter<string> table_combine_delimiters("table_combine_delimiters", "off", "");
  216: static MagicsParameter<int> table_header_row("table_header_row", 1, "");
  217: static MagicsParameter<int> table_data_row_offset("table_data_row_offset", 1, "");
  218: static MagicsParameter<intarray> table_meta_data_rows("table_meta_data_rows", intarray(), "");
  219: static MagicsParameter<string> table_x_type("table_x_type", "number", "");
  220: static MagicsParameter<string> table_y_type("table_y_type", "number", "");
  221: static MagicsParameter<string> table_variable_identifier_type("table_variable_identifier_type", "index", "");
  222: static MagicsParameter<string> table_x_variable("table_x_variable", "1", "");
  223: static MagicsParameter<string> table_y_variable("table_y_variable", "2", "");
  224: static MagicsParameter<string> table_value_variable("table_value_variable", "-1", "");
  225: static MagicsParameter<string> table_latitude_variable("table_latitude_variable", "2", "");
  226: static MagicsParameter<string> table_longitude_variable("table_longitude_variable", "1", "");
  227: static MagicsParameter<string> table_x_component_variable("table_x_component_variable", "-1", "");
  228: static MagicsParameter<string> table_y_component_variable("table_y_component_variable", "-1", "");
  229: static MagicsParameter<double> table_x_missing_value("table_x_missing_value", -21.e6, "");
  230: static MagicsParameter<double> table_y_missing_value("table_y_missing_value", -21.e6, "");
  231: static MagicsParameter<string> table_binning("table_binning", "on", ""); 
  232  #include "BinningObject.h"
  233: static SimpleObjectMaker<NoBinningObject , BinningObject> nobinning_NoBinningObject("nobinning");
  234: static SimpleObjectMaker<NoBinningObject , BinningObject> off_NoBinningObject("off");
  235: static SimpleObjectMaker<BinningObject , BinningObject> binning_BinningObject("binning");
  236: static SimpleObjectMaker<BinningObject , BinningObject> on_BinningObject("on");
  237  

/Users/sylvie/build/magics/src/params/TaylorGridAttributes.cc:
  232  }
  233  
  234: static MagicsParameter<string> taylor_label("taylor_label", "Correlation", "");
  235: static MagicsParameter<double> taylor_label_height("taylor_label_height", 0.35, "");
  236: static MagicsParameter<double> taylor_primary_grid_increment("taylor_primary_grid_increment", 0.5, "");
  237: static MagicsParameter<int> taylor_primary_grid_line_thickness("taylor_primary_grid_line_thickness", 1, "");
  238: static MagicsParameter<double> taylor_primary_grid_reference("taylor_primary_grid_reference", 0.5, "");
  239: static MagicsParameter<int> taylor_reference_line_thickness("taylor_reference_line_thickness", 2, "");
  240: static MagicsParameter<string> taylor_primary_label("taylor_primary_label", "on", "");
  241: static MagicsParameter<double> taylor_primary_label_height("taylor_primary_label_height", 0.35, "");
  242: static MagicsParameter<string> taylor_secondary_grid("taylor_secondary_grid", "off", "");
  243: static MagicsParameter<double> taylor_secondary_grid_reference("taylor_secondary_grid_reference", 0.5, "");
  244: static MagicsParameter<double> taylor_secondary_grid_increment("taylor_secondary_grid_increment", 0.5, "");
  245: static MagicsParameter<int> taylor_secondary_grid_line_thickness("taylor_secondary_grid_line_thickness", 1, "");
  246: static MagicsParameter<string> taylor_secondary_label("taylor_secondary_label", "on", "");
  247: static MagicsParameter<double> taylor_secondary_label_height("taylor_secondary_label_height", 0.35, "");
  248: static MagicsParameter<string> taylor_label_colour("taylor_label_colour", "navy", ""); 
  249: static MagicsParameter<string> taylor_primary_grid_line_colour("taylor_primary_grid_line_colour", "navy", ""); 
  250: static MagicsParameter<string> taylor_primary_grid_line_style("taylor_primary_grid_line_style", "solid", ""); 
  251: static MagicsParameter<string> taylor_reference_line_colour("taylor_reference_line_colour", "navy", ""); 
  252: static MagicsParameter<string> taylor_reference_line_style("taylor_reference_line_style", "solid", ""); 
  253: static MagicsParameter<string> taylor_primary_label_colour("taylor_primary_label_colour", "navy", ""); 
  254: static MagicsParameter<string> taylor_secondary_grid_line_colour("taylor_secondary_grid_line_colour", "navy", ""); 
  255: static MagicsParameter<string> taylor_secondary_grid_line_style("taylor_secondary_grid_line_style", "solid", ""); 
  256: static MagicsParameter<string> taylor_secondary_label_colour("taylor_secondary_label_colour", "navy", ""); 
  257  

/Users/sylvie/build/magics/src/params/TaylorProjectionAttributes.cc:
  107  }
  108  
  109: static MagicsParameter<double> taylor_standard_deviation_min("taylor_standard_deviation_min", 0, "");
  110: static MagicsParameter<double> taylor_standard_deviation_max("taylor_standard_deviation_max", 1, "");
  111  

/Users/sylvie/build/magics/src/params/TephigramAttributes.cc:
  135  }
  136  
  137: static MagicsParameter<double> x_min("x_min", 0, "");
  138: static MagicsParameter<string> subpage_x_automatic("subpage_x_automatic", "off", "");
  139: static MagicsParameter<string> subpage_y_automatic("subpage_y_automatic", "off", "");
  140: static MagicsParameter<double> x_max("x_max", 100, "");
  141: static MagicsParameter<double> y_min("y_min", 0, "");
  142: static MagicsParameter<double> y_max("y_max", 100, "");
  143: static MagicsParameter<double> thermo_annotation_width("thermo_annotation_width", 25, "");
  144  

/Users/sylvie/build/magics/src/params/TephiGridAttributes.cc:
  441  }
  442  
  443: static MagicsParameter<double> thermo_annotation_width("thermo_annotation_width", 25, "");
  444: static MagicsParameter<string> thermo_isotherm_grid("thermo_isotherm_grid", "on", "");
  445: static MagicsParameter<int> thermo_isotherm_thickness("thermo_isotherm_thickness", 1, "");
  446: static MagicsParameter<double> thermo_isotherm_interval("thermo_isotherm_interval", 10, "");
  447: static MagicsParameter<double> thermo_isotherm_reference("thermo_isotherm_reference", 0, "");
  448: static MagicsParameter<int> thermo_isotherm_reference_thickness("thermo_isotherm_reference_thickness", 2, "");
  449: static MagicsParameter<string> thermo_isotherm_label_font("thermo_isotherm_label_font", "helvetica", "");
  450: static MagicsParameter<string> thermo_isotherm_label_font_style("thermo_isotherm_label_font_style", "normal", "");
  451: static MagicsParameter<double> thermo_isotherm_label_font_size("thermo_isotherm_label_font_size", 0.3, "");
  452: static MagicsParameter<int> thermo_isotherm_label_frequency("thermo_isotherm_label_frequency", 1, "");
  453: static MagicsParameter<string> thermo_isobar_grid("thermo_isobar_grid", "on", "");
  454: static MagicsParameter<int> thermo_isobar_thickness("thermo_isobar_thickness", 2, "");
  455: static MagicsParameter<double> thermo_isobar_interval("thermo_isobar_interval", 100, "");
  456: static MagicsParameter<double> thermo_isobar_reference("thermo_isobar_reference", 1000, "");
  457: static MagicsParameter<string> thermo_isobar_label_font("thermo_isobar_label_font", "helvetica", "");
  458: static MagicsParameter<string> thermo_isobar_label_font_style("thermo_isobar_label_font_style", "normal", "");
  459: static MagicsParameter<double> thermo_isobar_label_font_size("thermo_isobar_label_font_size", 0.3, "");
  460: static MagicsParameter<int> thermo_isobar_label_frequency("thermo_isobar_label_frequency", 1, "");
  461: static MagicsParameter<string> thermo_dry_adiabatic_grid("thermo_dry_adiabatic_grid", "on", "");
  462: static MagicsParameter<int> thermo_dry_adiabatic_thickness("thermo_dry_adiabatic_thickness", 1, "");
  463: static MagicsParameter<double> thermo_dry_adiabatic_interval("thermo_dry_adiabatic_interval", 10, "");
  464: static MagicsParameter<double> thermo_dry_adiabatic_reference("thermo_dry_adiabatic_reference", 0, "");
  465: static MagicsParameter<string> thermo_dry_adiabatic_label_font("thermo_dry_adiabatic_label_font", "helvetica", "");
  466: static MagicsParameter<string> thermo_dry_adiabatic_label_font_style("thermo_dry_adiabatic_label_font_style", "normal", "");
  467: static MagicsParameter<double> thermo_dry_adiabatic_label_font_size("thermo_dry_adiabatic_label_font_size", 0.3, "");
  468: static MagicsParameter<int> thermo_dry_adiabatic_label_frequency("thermo_dry_adiabatic_label_frequency", 1, "");
  469: static MagicsParameter<string> thermo_saturated_adiabatic_grid("thermo_saturated_adiabatic_grid", "on", "");
  470: static MagicsParameter<int> thermo_saturated_adiabatic_thickness("thermo_saturated_adiabatic_thickness", 2, "");
  471: static MagicsParameter<double> thermo_saturated_adiabatic_interval("thermo_saturated_adiabatic_interval", 5, "");
  472: static MagicsParameter<double> thermo_saturated_adiabatic_reference("thermo_saturated_adiabatic_reference", 0, "");
  473: static MagicsParameter<string> thermo_saturated_adiabatic_label_font("thermo_saturated_adiabatic_label_font", "helvetica", "");
  474: static MagicsParameter<string> thermo_saturated_adiabatic_label_font_style("thermo_saturated_adiabatic_label_font_style", "normal", "");
  475: static MagicsParameter<double> thermo_saturated_adiabatic_label_font_size("thermo_saturated_adiabatic_label_font_size", 0.3, "");
  476: static MagicsParameter<int> thermo_saturated_adiabatic_label_frequency("thermo_saturated_adiabatic_label_frequency", 1, "");
  477: static MagicsParameter<string> thermo_mixing_ratio_grid("thermo_mixing_ratio_grid", "on", "");
  478: static MagicsParameter<int> thermo_mixing_ratio_thickness("thermo_mixing_ratio_thickness", 1, "");
  479: static MagicsParameter<int> thermo_mixing_ratio_frequency("thermo_mixing_ratio_frequency", 1, "");
  480: static MagicsParameter<string> thermo_mixing_ratio_label_font("thermo_mixing_ratio_label_font", "helvetica", "");
  481: static MagicsParameter<string> thermo_mixing_ratio_label_font_style("thermo_mixing_ratio_label_font_style", "normal", "");
  482: static MagicsParameter<double> thermo_mixing_ratio_label_font_size("thermo_mixing_ratio_label_font_size", 0.3, "");
  483: static MagicsParameter<int> thermo_mixing_ratio_label_frequency("thermo_mixing_ratio_label_frequency", 1, "");
  484: static MagicsParameter<string> thermo_isotherm_colour("thermo_isotherm_colour", "charcoal", ""); 
  485: static MagicsParameter<string> thermo_isotherm_style("thermo_isotherm_style", "solid", ""); 
  486: static MagicsParameter<string> thermo_isotherm_reference_colour("thermo_isotherm_reference_colour", "red", ""); 
  487: static MagicsParameter<string> thermo_isotherm_reference_style("thermo_isotherm_reference_style", "solid", ""); 
  488: static MagicsParameter<string> thermo_isotherm_label_colour("thermo_isotherm_label_colour", "charcoal", ""); 
  489: static MagicsParameter<string> thermo_isobar_colour("thermo_isobar_colour", "evergreen", ""); 
  490: static MagicsParameter<string> thermo_isobar_style("thermo_isobar_style", "solid", ""); 
  491: static MagicsParameter<string> thermo_isobar_label_colour("thermo_isobar_label_colour", "evergreen", ""); 
  492: static MagicsParameter<string> thermo_dry_adiabatic_colour("thermo_dry_adiabatic_colour", "charcoal", ""); 
  493: static MagicsParameter<string> thermo_dry_adiabatic_style("thermo_dry_adiabatic_style", "solid", ""); 
  494: static MagicsParameter<string> thermo_dry_adiabatic_label_colour("thermo_dry_adiabatic_label_colour", "charcoal", ""); 
  495: static MagicsParameter<string> thermo_saturated_adiabatic_colour("thermo_saturated_adiabatic_colour", "charcoal", ""); 
  496: static MagicsParameter<string> thermo_saturated_adiabatic_style("thermo_saturated_adiabatic_style", "solid", ""); 
  497: static MagicsParameter<string> thermo_saturated_adiabatic_label_colour("thermo_saturated_adiabatic_label_colour", "charcoal", ""); 
  498: static MagicsParameter<string> thermo_mixing_ratio_colour("thermo_mixing_ratio_colour", "purple", ""); 
  499: static MagicsParameter<string> thermo_mixing_ratio_style("thermo_mixing_ratio_style", "dash", ""); 
  500: static MagicsParameter<string> thermo_mixing_ratio_label_colour("thermo_mixing_ratio_label_colour", "purple", ""); 
  501  

/Users/sylvie/build/magics/src/params/TextVisitorAttributes.cc:
  531  }
  532  
  533: static MagicsParameter<string> text_html("text_html", "on", "");
  534: static MagicsParameter<int> text_line_count("text_line_count", 1, "");
  535: static MagicsParameter<string> text_line_1("text_line_1", "<magics_title/>", "");
  536: static MagicsParameter<string> text_line_2("text_line_2", "", "");
  537: static MagicsParameter<string> text_line_3("text_line_3", "", "");
  538: static MagicsParameter<string> text_line_4("text_line_4", "", "");
  539: static MagicsParameter<string> text_line_5("text_line_5", "", "");
  540: static MagicsParameter<string> text_line_6("text_line_6", "", "");
  541: static MagicsParameter<string> text_line_7("text_line_7", "", "");
  542: static MagicsParameter<string> text_line_8("text_line_8", "", "");
  543: static MagicsParameter<string> text_line_9("text_line_9", "", "");
  544: static MagicsParameter<string> text_line_10("text_line_10", "", "");
  545: static MagicsParameter<int> text_first_line("text_first_line", 1, "");
  546: static MagicsParameter<string> text_font("text_font", "helvetica", "");
  547: static MagicsParameter<string> text_font_style("text_font_style", "normal", "");
  548: static MagicsParameter<string> text_font_size("text_font_size", "0.5", "");
  549: static MagicsParameter<string> text_orientation("text_orientation", "horizontal", "");
  550: static MagicsParameter<string> text_automatic("text_automatic", "on", "");
  551: static MagicsParameter<stringarray> text_lines("text_lines", stringarray(), "");
  552: static MagicsParameter<string> text_mode("text_mode", "title", "");
  553: static MagicsParameter<double> text_box_x_position("text_box_x_position", -1, "");
  554: static MagicsParameter<double> text_box_y_position("text_box_y_position", -1, "");
  555: static MagicsParameter<double> text_box_x_length("text_box_x_length", -1, "");
  556: static MagicsParameter<double> text_box_y_length("text_box_y_length", -1, "");
  557: static MagicsParameter<string> text_box_blanking("text_box_blanking", "off", "");
  558: static MagicsParameter<string> text_border("text_border", "off", "");
  559: static MagicsParameter<int> text_border_thickness("text_border_thickness", 1, "");
  560: static MagicsParameter<string> text_character_1("text_character_1", "", "");
  561: static MagicsParameter<string> text_character_2("text_character_2", "", "");
  562: static MagicsParameter<string> text_character_3("text_character_3", "", "");
  563: static MagicsParameter<string> text_character_4("text_character_4", "", "");
  564: static MagicsParameter<string> text_character_5("text_character_5", "", "");
  565: static MagicsParameter<string> text_character_6("text_character_6", "", "");
  566: static MagicsParameter<string> text_character_7("text_character_7", "", "");
  567: static MagicsParameter<string> text_character_8("text_character_8", "", "");
  568: static MagicsParameter<string> text_character_9("text_character_9", "", "");
  569: static MagicsParameter<string> text_character_10("text_character_10", "", "");
  570: static MagicsParameter<int> text_integer_1("text_integer_1", 0, "");
  571: static MagicsParameter<int> text_integer_2("text_integer_2", 0, "");
  572: static MagicsParameter<int> text_integer_3("text_integer_3", 0, "");
  573: static MagicsParameter<int> text_integer_4("text_integer_4", 0, "");
  574: static MagicsParameter<int> text_integer_5("text_integer_5", 0, "");
  575: static MagicsParameter<int> text_integer_6("text_integer_6", 0, "");
  576: static MagicsParameter<int> text_integer_7("text_integer_7", 0, "");
  577: static MagicsParameter<int> text_integer_8("text_integer_8", 0, "");
  578: static MagicsParameter<int> text_integer_9("text_integer_9", 0, "");
  579: static MagicsParameter<int> text_integer_10("text_integer_10", 0, "");
  580: static MagicsParameter<double> text_real_1("text_real_1", 0, "");
  581: static MagicsParameter<double> text_real_2("text_real_2", 0, "");
  582: static MagicsParameter<double> text_real_3("text_real_3", 0, "");
  583: static MagicsParameter<double> text_real_4("text_real_4", 0, "");
  584: static MagicsParameter<double> text_real_5("text_real_5", 0, "");
  585: static MagicsParameter<double> text_real_6("text_real_6", 0, "");
  586: static MagicsParameter<double> text_real_7("text_real_7", 0, "");
  587: static MagicsParameter<double> text_real_8("text_real_8", 0, "");
  588: static MagicsParameter<double> text_real_9("text_real_9", 0, "");
  589: static MagicsParameter<double> text_real_10("text_real_10", 0, "");
  590: static MagicsParameter<double> text_line_height_ratio_1("text_line_height_ratio_1", 1, "");
  591: static MagicsParameter<double> text_line_height_ratio_2("text_line_height_ratio_2", 1, "");
  592: static MagicsParameter<double> text_line_height_ratio_3("text_line_height_ratio_3", 1, "");
  593: static MagicsParameter<double> text_line_height_ratio_4("text_line_height_ratio_4", 1, "");
  594: static MagicsParameter<double> text_line_height_ratio_5("text_line_height_ratio_5", 1, "");
  595: static MagicsParameter<double> text_line_height_ratio_6("text_line_height_ratio_6", 1, "");
  596: static MagicsParameter<double> text_line_height_ratio_7("text_line_height_ratio_7", 1, "");
  597: static MagicsParameter<double> text_line_height_ratio_8("text_line_height_ratio_8", 1, "");
  598: static MagicsParameter<double> text_line_height_ratio_9("text_line_height_ratio_9", 1, "");
  599: static MagicsParameter<double> text_line_height_ratio_10("text_line_height_ratio_10", 1, "");
  600: static MagicsParameter<string> text_parameter_escape_character("text_parameter_escape_character", "@", "");
  601: static MagicsParameter<doublearray> text_line_height_ratios("text_line_height_ratios", floatarray(), "");
  602: static MagicsParameter<string> text_colour("text_colour", "navy", ""); 
  603: static MagicsParameter<string> text_justification("text_justification", "centre", ""); 
  604: static MagicsParameter<string> text_border_line_style("text_border_line_style", "solid", ""); 
  605: static MagicsParameter<string> text_border_colour("text_border_colour", "blue", ""); 
  606  

/Users/sylvie/build/magics/src/params/TileDecoderAttributes.cc:
  148  }
  149  
  150: static MagicsParameter<string> grib_input_file_name("grib_input_file_name", "", "");
  151: static MagicsParameter<string> grib_tile_projection("grib_tile_projection", "cylindrical", "");
  152: static MagicsParameter<string> grib_loop("grib_loop", "off", "");
  153: static MagicsParameter<int> grib_tile_z("grib_tile_z", 1, "");
  154: static MagicsParameter<int> grib_tile_x("grib_tile_x", 0, "");
  155: static MagicsParameter<int> grib_tile_y("grib_tile_y", 0, "");
  156: static MagicsParameter<string> grib_automatic_scaling("grib_automatic_scaling", "on", "");
  157: static MagicsParameter<double> grib_scaling_factor("grib_scaling_factor", 1, "");
  158: static MagicsParameter<double> grib_scaling_offset("grib_scaling_offset", 0, "");
  159  

/Users/sylvie/build/magics/src/params/TitleTemplateAttributes.cc:
   99  }
  100  
  101: static MagicsParameter<string> title_template_filename("title_template_filename", "title_template.xml", "");
  102  

/Users/sylvie/build/magics/src/params/UserLogoPlottingAttributes.cc:
  149  }
  150  
  151: static MagicsParameter<string> user_logo_filename("user_logo_filename", "", "");
  152: static MagicsParameter<string> user_logo_format("user_logo_format", "PNG", "");
  153: static MagicsParameter<string> user_logo_position_units("user_logo_position_units", "cm", "");
  154: static MagicsParameter<double> user_logo_y_position("user_logo_y_position", 2.5, "");
  155: static MagicsParameter<double> user_logo_x_position("user_logo_x_position", 80, "");
  156: static MagicsParameter<string> user_logo_bottom("user_logo_bottom", "", "");
  157: static MagicsParameter<string> user_logo_left("user_logo_left", "", "");
  158: static MagicsParameter<double> user_logo_width("user_logo_width", -1, "");
  159: static MagicsParameter<double> user_logo_height("user_logo_height", -1, "");
  160  

/Users/sylvie/build/magics/src/params/ValuePlotAttributes.cc:
  111  }
  112  
  113: static MagicsParameter<string> contour_grid_value_type("contour_grid_value_type", "normal", "");
  114: static MagicsParameter<string> contour_grid_value_plot_type("contour_grid_value_plot_type", "value", ""); 
  115  #include "ValuePlotMethod.h"
  116  #include "MarkerValuePlotMethod.h"
  117  #include "BothValuePlotMethod.h"
  118: static SimpleObjectMaker<ValuePlotMethod , ValuePlotMethod> value_ValuePlotMethod("value");
  119: static SimpleObjectMaker<MarkerValuePlotMethod , ValuePlotMethod> marker_MarkerValuePlotMethod("marker");
  120: static SimpleObjectMaker<BothValuePlotMethod , ValuePlotMethod> both_BothValuePlotMethod("both");
  121  

/Users/sylvie/build/magics/src/params/ValuePlotMethodAttributes.cc:
  155  }
  156  
  157: static MagicsParameter<double> contour_grid_value_min("contour_grid_value_min", -1.0e+21, "");
  158: static MagicsParameter<double> contour_grid_value_max("contour_grid_value_max", 1.0e+21, "");
  159: static MagicsParameter<int> contour_grid_value_lat_frequency("contour_grid_value_lat_frequency", 1, "");
  160: static MagicsParameter<int> contour_grid_value_lon_frequency("contour_grid_value_lon_frequency", 1, "");
  161: static MagicsParameter<double> contour_grid_value_height("contour_grid_value_height", 0.25, "");
  162: static MagicsParameter<string> contour_grid_value_format("contour_grid_value_format", "(automatic)", "");
  163: static MagicsParameter<string> contour_grid_value_quality("contour_grid_value_quality", "low", "");
  164: static MagicsParameter<string> contour_grid_value_vertical_align("contour_grid_value_vertical_align", "base", "");
  165: static MagicsParameter<string> contour_grid_value_colour("contour_grid_value_colour", "blue", ""); 
  166: static MagicsParameter<string> contour_grid_value_justification("contour_grid_value_justification", "centre", ""); 
  167  

/Users/sylvie/build/magics/src/params/WindAttributes.cc:
  121  }
  122  
  123: static MagicsParameter<string> wind_thinning_method("wind_thinning_method", "data", "");
  124: static MagicsParameter<double> wind_thinning_factor("wind_thinning_factor", 2.0, "");
  125: static MagicsParameter<string> wind_thinning_debug("wind_thinning_debug", "off", "");
  126: static MagicsParameter<string> wind_field_type("wind_field_type", "arrows", ""); 
  127  #include "FlagPlotting.h"
  128  #include "ArrowPlotting.h"
  129  #include "Streamlines.h"
  130: static SimpleObjectMaker<FlagPlotting , WindPlotting> flags_FlagPlotting("flags");
  131: static SimpleObjectMaker<ArrowPlotting , WindPlotting> arrows_ArrowPlotting("arrows");
  132: static SimpleObjectMaker<Streamlines , WindPlotting> streamlines_Streamlines("streamlines");
  133  

/Users/sylvie/build/magics/src/params/WindPlottingAttributes.cc:
  216  }
  217  
  218: static MagicsParameter<string> legend("legend", "off", "");
  219: static MagicsParameter<string> wind_legend_only("wind_legend_only", "off", "");
  220: static MagicsParameter<string> wind_legend_text("wind_legend_text", "vector", "");
  221: static MagicsParameter<string> wind_advanced_method("wind_advanced_method", "off", "");
  222: static MagicsParameter<string> wind_advanced_colour_parameter("wind_advanced_colour_parameter", "speed", "");
  223: static MagicsParameter<double> wind_advanced_colour_max_value("wind_advanced_colour_max_value", 1.e21, "");
  224: static MagicsParameter<double> wind_advanced_colour_min_value("wind_advanced_colour_min_value", -1.e21, "");
  225: static MagicsParameter<int> wind_advanced_colour_level_count("wind_advanced_colour_level_count", 10, "");
  226: static MagicsParameter<int> wind_advanced_colour_level_tolerance("wind_advanced_colour_level_tolerance", 2, "");
  227: static MagicsParameter<double> wind_advanced_colour_reference_level("wind_advanced_colour_reference_level", 0.0, "");
  228: static MagicsParameter<double> wind_advanced_colour_level_interval("wind_advanced_colour_level_interval", 8.0, "");
  229: static MagicsParameter<doublearray> wind_advanced_colour_level_list("wind_advanced_colour_level_list", floatarray(), "");
  230: static MagicsParameter<string> wind_advanced_colour_direction("wind_advanced_colour_direction", "anti_clockwise", "");
  231: static MagicsParameter<stringarray> wind_advanced_colour_list("wind_advanced_colour_list", stringarray(), "");
  232: static MagicsParameter<string> wind_advanced_colour_selection_type("wind_advanced_colour_selection_type", "count", ""); 
  233: static MagicsParameter<string> wind_advanced_colour_table_colour_method("wind_advanced_colour_table_colour_method", "calculate", ""); 
  234: static MagicsParameter<string> wind_advanced_colour_max_level_colour("wind_advanced_colour_max_level_colour", "blue", ""); 
  235: static MagicsParameter<string> wind_advanced_colour_min_level_colour("wind_advanced_colour_min_level_colour", "red", ""); 
  236: static MagicsParameter<string> wind_advanced_colour_list_policy("wind_advanced_colour_list_policy", "lastone", ""); 
  237  #include "CountSelectionType.h"
  238  #include "IntervalSelectionType.h"
  ...
  240  #include "CalculateColourTechnique.h"
  241  #include "ListColourTechnique.h"
  242: static SimpleObjectMaker<CountSelectionType , LevelSelection> count_CountSelectionType("count");
  243: static SimpleObjectMaker<IntervalSelectionType , LevelSelection> interval_IntervalSelectionType("interval");
  244: static SimpleObjectMaker<LevelListSelectionType , LevelSelection> list_LevelListSelectionType("list");
  245: static SimpleObjectMaker<CalculateColourTechnique , ColourTechnique> calculate_CalculateColourTechnique("calculate");
  246: static SimpleObjectMaker<ListColourTechnique , ColourTechnique> list_ListColourTechnique("list");
  247  

/Users/sylvie/build/magics/src/params/WrepJSonAttributes.cc:
  261  }
  262  
  263: static MagicsParameter<string> wrepjson_input_filename("wrepjson_input_filename", "", "");
  264: static MagicsParameter<string> wrepjson_parameter_information("wrepjson_parameter_information", "", "");
  265: static MagicsParameter<string> wrepjson_title("wrepjson_title", "on", "");
  266: static MagicsParameter<string> wrepjson_position_information("wrepjson_position_information", "on", "");
  267: static MagicsParameter<string> wrepjson_product_information("wrepjson_product_information", "", "");
  268: static MagicsParameter<string> wrepjson_family("wrepjson_family", "eps", "");
  269: static MagicsParameter<string> wrepjson_key("wrepjson_key", "", "");
  270: static MagicsParameter<double> wrepjson_plumes_interval("wrepjson_plumes_interval", 1, "");
  271: static MagicsParameter<string> wrepjson_information("wrepjson_information", "on", "");
  272: static MagicsParameter<string> wrepjson_keyword("wrepjson_keyword", "", "");
  273: static MagicsParameter<string> wrepjson_station_name("wrepjson_station_name", "", "");
  274: static MagicsParameter<string> wrepjson_parameter("wrepjson_parameter", "1", "");
  275: static MagicsParameter<double> wrepjson_parameter_scaling_factor("wrepjson_parameter_scaling_factor", 1, "");
  276: static MagicsParameter<double> wrepjson_parameter_offset_factor("wrepjson_parameter_offset_factor", 0, "");
  277: static MagicsParameter<string> wrepjson_clim_parameter("wrepjson_clim_parameter", "", "");
  278: static MagicsParameter<int> wrepjson_clim_step("wrepjson_clim_step", 36, "");
  279: static MagicsParameter<intarray> wrepjson_steps("wrepjson_steps", intarray(), "");
  280: static MagicsParameter<double> wrepjson_y_axis_percentile("wrepjson_y_axis_percentile", 1, "");
  281: static MagicsParameter<double> wrepjson_y_axis_threshold("wrepjson_y_axis_threshold", 50, "");
  282: static MagicsParameter<double> wrepjson_y_max_threshold("wrepjson_y_max_threshold", INT_MAX, "");
  283: static MagicsParameter<double> wrepjson_y_percentage("wrepjson_y_percentage", 0.01, "");
  284: static MagicsParameter<string> wrepjson_temperature_correction("wrepjson_temperature_correction", "off", "");
  285: static MagicsParameter<double> wrepjson_missing_value("wrepjson_missing_value", -9999, "");
  286: static MagicsParameter<stringarray> wrepjson_ignore_keys("wrepjson_ignore_keys", stringarray(), "");
  287: static MagicsParameter<string> wrepjson_profile_quantile("wrepjson_profile_quantile", "", "");
  288: static MagicsParameter<string> wrepjson_hodograph_grid("wrepjson_hodograph_grid", "off", "");
  289: static MagicsParameter<string> wrepjson_hodograph_tephi("wrepjson_hodograph_tephi", "off", "");
  290: static MagicsParameter<int> wrepjson_hodograph_member("wrepjson_hodograph_member", -1, "");
  291  

/Users/sylvie/build/magics/src/params/WrepRootNodeAttributes.cc:
  111  }
  112  
  113: static MagicsParameter<double> wrep_node_width("wrep_node_width", 800, "");
  114: static MagicsParameter<double> wrep_node_height("wrep_node_height", 400, "");
  115: static MagicsParameter<string> wrep_node_mapping_anchor("wrep_node_mapping_anchor", "centre", "");
  116  

/Users/sylvie/build/magics/src/params/XDateCoordinateAttributes.cc:
  119  }
  120  
  121: static MagicsParameter<string> subpage_x_date_min("subpage_x_date_min", "", "");
  122: static MagicsParameter<string> subpage_x_date_max("subpage_x_date_max", "", "");
  123: static MagicsParameter<string> subpage_x_automatic_reverse("subpage_x_automatic_reverse", "off", "");
  124: static MagicsParameter<string> subpage_x_automatic("subpage_x_automatic", "off", ""); 
  125  

/Users/sylvie/build/magics/src/params/XHyperCoordinateAttributes.cc:
  131  }
  132  
  133: static MagicsParameter<double> subpage_x_min_latitude("subpage_x_min_latitude", -90, "");
  134: static MagicsParameter<double> subpage_x_max_latitude("subpage_x_max_latitude", 90, "");
  135: static MagicsParameter<double> subpage_x_min_longitude("subpage_x_min_longitude", -180, "");
  136: static MagicsParameter<double> subpage_x_max_longitude("subpage_x_max_longitude", 180, "");
  137: static MagicsParameter<string> subpage_x_automatic_reverse("subpage_x_automatic_reverse", "off", "");
  138: static MagicsParameter<string> subpage_x_automatic("subpage_x_automatic", "off", ""); 
  139  

/Users/sylvie/build/magics/src/params/XLogarithmicCoordinateAttributes.cc:
  118  }
  119  
  120: static MagicsParameter<double> subpage_x_min("subpage_x_min", 0, "");
  121: static MagicsParameter<double> subpage_x_max("subpage_x_max", 100, "");
  122: static MagicsParameter<string> subpage_x_automatic_reverse("subpage_x_automatic_reverse", "off", "");
  123: static MagicsParameter<string> subpage_x_automatic("subpage_x_automatic", "off", ""); 
  124  

/Users/sylvie/build/magics/src/params/XmlBasicNodeAttributes.cc:
  267  }
  268  
  269: static MagicsParameter<string> view_standalone("view_standalone", "off", "");
  270: static MagicsParameter<string> view_standalone_file_name("view_standalone_file_name", "", "");
  271: static MagicsParameter<string> view_standalone_format("view_standalone_format", "png", "");
  272: static MagicsParameter<double> view_standalone_width("view_standalone_width", 128, "");
  273: static MagicsParameter<double> view_standalone_height("view_standalone_height", 64, "");
  274: static MagicsParameter<string> view_bottom("view_bottom", "0%", "");
  275: static MagicsParameter<string> view_left("view_left", "0%", "");
  276: static MagicsParameter<string> view_width("view_width", "100%", "");
  277: static MagicsParameter<string> view_height("view_height", "100%", "");
  278: static MagicsParameter<string> view_margin_bottom("view_margin_bottom", "undef", "");
  279: static MagicsParameter<string> view_margin_left("view_margin_left", "undef", "");
  280: static MagicsParameter<string> view_margin_right("view_margin_right", "undef", "");
  281: static MagicsParameter<string> view_margin_top("view_margin_top", "undef", "");
  282: static MagicsParameter<string> view_border_bottom("view_border_bottom", "1px", "");
  283: static MagicsParameter<string> view_border_left("view_border_left", "1px", "");
  284: static MagicsParameter<string> view_border_right("view_border_right", "1px", "");
  285: static MagicsParameter<string> view_border_top("view_border_top", "1px", "");
  286: static MagicsParameter<string> view_border("view_border", "on", "");
  287: static MagicsParameter<string> view_blanking("view_blanking", "on", "");
  288: static MagicsParameter<int> view_border_thickness("view_border_thickness", 1, "");
  289: static MagicsParameter<string> view_padding_bottom("view_padding_bottom", "0%", "");
  290: static MagicsParameter<string> view_padding_left("view_padding_left", "0%", "");
  291: static MagicsParameter<string> view_padding_right("view_padding_right", "0%", "");
  292: static MagicsParameter<string> view_padding_top("view_padding_top", "0%", "");
  293: static MagicsParameter<string> view_display("view_display", "inline", ""); 
  294: static MagicsParameter<string> view_background_colour("view_background_colour", "none", ""); 
  295: static MagicsParameter<string> view_border_colour("view_border_colour", "tan", ""); 
  296: static MagicsParameter<string> view_border_style("view_border_style", "solid", ""); 
  297: static MagicsParameter<string> view_padding_colour("view_padding_colour", "none", ""); 
  298  

/Users/sylvie/build/magics/src/params/XmlRootNodeAttributes.cc:
  147  }
  148  
  149: static MagicsParameter<string> root_node_format("root_node_format", "a4", "");
  150: static MagicsParameter<string> root_node_orientation("root_node_orientation", "landscape", "");
  151: static MagicsParameter<double> root_node_width("root_node_width", -1, "");
  152: static MagicsParameter<double> root_node_height("root_node_height", -1, "");
  153: static MagicsParameter<string> root_node_frame("root_node_frame", "off", "");
  154: static MagicsParameter<int> root_node_frame_thickness("root_node_frame_thickness", 1, "");
  155: static MagicsParameter<string> root_node_application("root_node_application", "magml", "");
  156: static MagicsParameter<string> root_node_frame_colour("root_node_frame_colour", "blue", ""); 
  157: static MagicsParameter<string> root_node_frame_line_style("root_node_frame_line_style", "solid", ""); 
  158  

/Users/sylvie/build/magics/src/params/XmlSceneNodeAttributes.cc:
  242  }
  243  
  244: static MagicsParameter<string> scene_node_bottom("scene_node_bottom", "0%", "");
  245: static MagicsParameter<string> scene_node_left("scene_node_left", "0%", "");
  246: static MagicsParameter<string> scene_node_width("scene_node_width", "100%", "");
  247: static MagicsParameter<string> scene_node_height("scene_node_height", "100%", "");
  248: static MagicsParameter<string> scene_node_margin_bottom("scene_node_margin_bottom", "0%", "");
  249: static MagicsParameter<string> scene_node_margin_left("scene_node_margin_left", "0%", "");
  250: static MagicsParameter<string> scene_node_margin_right("scene_node_margin_right", "0%", "");
  251: static MagicsParameter<string> scene_node_margin_top("scene_node_margin_top", "0%", "");
  252: static MagicsParameter<string> scene_node_border_bottom("scene_node_border_bottom", "1px", "");
  253: static MagicsParameter<string> scene_node_border_left("scene_node_border_left", "1px", "");
  254: static MagicsParameter<string> scene_node_border_right("scene_node_border_right", "1px", "");
  255: static MagicsParameter<string> scene_node_border("scene_node_border", "off", "");
  256: static MagicsParameter<string> scene_node_border_top("scene_node_border_top", "1px", "");
  257: static MagicsParameter<int> scene_node_border_thickness("scene_node_border_thickness", 1, "");
  258: static MagicsParameter<string> scene_node_padding_bottom("scene_node_padding_bottom", "0%", "");
  259: static MagicsParameter<string> scene_node_padding_left("scene_node_padding_left", "0%", "");
  260: static MagicsParameter<string> scene_node_padding_right("scene_node_padding_right", "0%", "");
  261: static MagicsParameter<string> scene_node_padding_top("scene_node_padding_top", "0%", "");
  262: static MagicsParameter<string> view_display("view_display", "inline", ""); 
  263: static MagicsParameter<string> scene_node_background_colour("scene_node_background_colour", "none", ""); 
  264: static MagicsParameter<string> scene_node_border_colour("scene_node_border_colour", "blue", ""); 
  265: static MagicsParameter<string> scene_node_border_style("scene_node_border_style", "solid", ""); 
  266: static MagicsParameter<string> scene_node_padding_colour("scene_node_padding_colour", "none", ""); 
  267: static MagicsParameter<string> scene_node_id_line("scene_node_id_line", "on", ""); 
  268  #include "PageID.h"
  269: static SimpleObjectMaker<PageID , NoPageID> pageid_PageID("pageid");
  270: static SimpleObjectMaker<NoPageID , NoPageID> nopageid_NoPageID("nopageid");
  271  

/Users/sylvie/build/magics/src/params/XmlViewNodeAttributes.cc:
  110  }
  111  
  112: static MagicsParameter<string> view_fitted_mode("view_fitted_mode", "off", "");
  113: static MagicsParameter<string> subpage_map_projection("subpage_map_projection", "cylindrical", ""); 
  114  #include "GeoRectangularProjection.h"
  115  #include "CartesianTransformation.h"
  ...
  118  #include "Skewt.h"
  119  #include "Emagram.h"
  120: static SimpleObjectMaker<GeoRectangularProjection , Transformation> cylindrical_GeoRectangularProjection("cylindrical");
  121: static SimpleObjectMaker<CartesianTransformation , Transformation> cartesian_CartesianTransformation("cartesian");
  122: static SimpleObjectMaker<CartesianTransformation , Transformation> none_CartesianTransformation("none");
  123: static SimpleObjectMaker<TaylorProjection , Transformation> taylor_TaylorProjection("taylor");
  124: static SimpleObjectMaker<Tephigram , Transformation> tephigram_Tephigram("tephigram");
  125: static SimpleObjectMaker<Skewt , Transformation> skew_t_Skewt("skew_t");
  126: static SimpleObjectMaker<Emagram , Transformation> emagram_Emagram("emagram");
  127  

/Users/sylvie/build/magics/src/params/XRegularCoordinateAttributes.cc:
  118  }
  119  
  120: static MagicsParameter<double> subpage_x_min("subpage_x_min", 0, "");
  121: static MagicsParameter<double> subpage_x_max("subpage_x_max", 100, "");
  122: static MagicsParameter<string> subpage_x_automatic_reverse("subpage_x_automatic_reverse", "off", "");
  123: static MagicsParameter<string> subpage_x_automatic("subpage_x_automatic", "off", ""); 
  124  

/Users/sylvie/build/magics/src/params/XYListAttributes.cc:
  249  }
  250  
  251: static MagicsParameter<doublearray> x_values("x_values", floatarray(), "");
  252: static MagicsParameter<doublearray> y_values("y_values", floatarray(), "");
  253: static MagicsParameter<stringarray> x_date_values("x_date_values", stringarray(), "");
  254: static MagicsParameter<string> x_base_date("x_base_date", "", "");
  255: static MagicsParameter<string> x_date_offset("x_date_offset", "second", "");
  256: static MagicsParameter<string> y_base_date("y_base_date", "", "");
  257: static MagicsParameter<string> y_date_offset("y_date_offset", "second", "");
  258: static MagicsParameter<stringarray> y_date_values("y_date_values", stringarray(), "");
  259: static MagicsParameter<double> x_missing_value("x_missing_value", -21.e6, "");
  260: static MagicsParameter<double> y_missing_value("y_missing_value", -21.e6, "");
  261: static MagicsParameter<doublearray> x2_values("x2_values", floatarray(), "");
  262: static MagicsParameter<doublearray> y2_values("y2_values", floatarray(), "");
  263: static MagicsParameter<string> x2_base_date("x2_base_date", "", "");
  264: static MagicsParameter<string> x2_date_offset("x2_date_offset", "second", "");
  265: static MagicsParameter<stringarray> x2_date_values("x2_date_values", stringarray(), "");
  266: static MagicsParameter<string> y2_base_date("y2_base_date", "", "");
  267: static MagicsParameter<string> y2_date_offset("y2_date_offset", "second", "");
  268: static MagicsParameter<stringarray> y2_date_values("y2_date_values", stringarray(), "");
  269: static MagicsParameter<doublearray> x_lower_values("x_lower_values", floatarray(), "");
  270: static MagicsParameter<doublearray> y_lower_values("y_lower_values", floatarray(), "");
  271: static MagicsParameter<stringarray> x_lower_date_values("x_lower_date_values", stringarray(), "");
  272: static MagicsParameter<stringarray> y_lower_date_values("y_lower_date_values", stringarray(), "");
  273: static MagicsParameter<doublearray> x_upper_values("x_upper_values", floatarray(), "");
  274: static MagicsParameter<doublearray> y_upper_values("y_upper_values", floatarray(), "");
  275: static MagicsParameter<stringarray> x_upper_date_values("x_upper_date_values", stringarray(), "");
  276: static MagicsParameter<stringarray> y_upper_date_values("y_upper_date_values", stringarray(), "");
  277  

/Users/sylvie/build/magics/src/params/YDateCoordinateAttributes.cc:
  119  }
  120  
  121: static MagicsParameter<string> subpage_y_date_min("subpage_y_date_min", "", "");
  122: static MagicsParameter<string> subpage_y_date_max("subpage_y_date_max", "", "");
  123: static MagicsParameter<string> subpage_y_automatic_reverse("subpage_y_automatic_reverse", "off", "");
  124: static MagicsParameter<string> subpage_y_automatic("subpage_y_automatic", "off", ""); 
  125  

/Users/sylvie/build/magics/src/params/YHyperCoordinateAttributes.cc:
  131  }
  132  
  133: static MagicsParameter<double> subpage_y_min_latitude("subpage_y_min_latitude", -90, "");
  134: static MagicsParameter<double> subpage_y_max_latitude("subpage_y_max_latitude", 90, "");
  135: static MagicsParameter<double> subpage_y_min_longitude("subpage_y_min_longitude", -180, "");
  136: static MagicsParameter<double> subpage_y_max_longitude("subpage_y_max_longitude", 180, "");
  137: static MagicsParameter<string> subpage_y_automatic_reverse("subpage_y_automatic_reverse", "off", "");
  138: static MagicsParameter<string> subpage_y_automatic("subpage_y_automatic", "off", ""); 
  139  

/Users/sylvie/build/magics/src/params/YLogarithmicCoordinateAttributes.cc:
  118  }
  119  
  120: static MagicsParameter<double> subpage_y_min("subpage_y_min", 0, "");
  121: static MagicsParameter<double> subpage_y_max("subpage_y_max", 100, "");
  122: static MagicsParameter<string> subpage_y_automatic_reverse("subpage_y_automatic_reverse", "off", "");
  123: static MagicsParameter<string> subpage_y_automatic("subpage_y_automatic", "off", ""); 
  124  

/Users/sylvie/build/magics/src/params/YRegularCoordinateAttributes.cc:
  118  }
  119  
  120: static MagicsParameter<double> subpage_y_min("subpage_y_min", 0, "");
  121: static MagicsParameter<double> subpage_y_max("subpage_y_max", 100, "");
  122: static MagicsParameter<string> subpage_y_automatic_reverse("subpage_y_automatic_reverse", "off", "");
  123: static MagicsParameter<string> subpage_y_automatic("subpage_y_automatic", "off", ""); 
  124  

2463 matches across 271 files


Searching 676 files for "MagDef"

/Users/sylvie/git/magics/src/visualisers/Contour.h:
   63      MatrixHandler* matrix_;
   64      StyleEntry* styleInfo_;
   65:     MagDef      automaticAttributes_;
   66  
   67  private:

/Users/sylvie/git/magics/src/visualisers/ContourLibrary.h:
   47  
   48      // se the map to set the contour!
   49:     virtual void getStyle(MetaDataCollector&, MagDef&, StyleEntry&);
   50:     virtual void getStyle(const string&, MagDef&) {}
   51      virtual void getScaling(MetaDataCollector&, double& scaling, double& offset) {
   52          scaling = 1;
   ..
  146  
  147      // set the map to set the contour!
  148:     void getStyle(MetaDataCollector&, MagDef&, StyleEntry&);
  149  
  150  
  ...
  170  
  171      // set the map to set the contour!
  172:     void getStyle(MetaDataCollector&, MagDef&, StyleEntry&);
  173:     void getStyle(const string&, MagDef&);
  174  
  175      void getScaling(MetaDataCollector&, double&, double&);

/Users/sylvie/git/magics/src/web/MagConfig.h:
   64  };
   65  
   66: struct MagDef : map<string, string> {
   67      void values(const json_spirit::Value&);
   68  
   ..
   70      string name_;
   71      void set(const json_spirit::Object&);
   72:     friend ostream& operator<<(ostream& s, const MagDef& p) {
   73          s << "[" << endl;
   74          for (auto def = p.begin(); def != p.end(); ++def)
   ..
   81  class StyleEntry;
   82  
   83: class MagDefLibrary : public MagConfig {
   84  public:
   85:     MagDefLibrary() {}
   86:     MagDefLibrary(const string& name) : name_(name) { init("/styles/" + name + ".json"); }
   87:     MagDefLibrary(const string& theme, const string& name) : name_(name) {
   88          init("/styles/" + theme + "/" + name + ".json");
   89      }
   90:     ~MagDefLibrary() {}
   91  
   92      void callback(const string& name, const json_spirit::Value& value);
   ..
   95      void init(const string&, const string&);
   96  
   97:     map<string, MagDef> library_;
   98  
   99:     bool find(const string& name, MagDef& definition) {
  100          // cout << "Looking for  " << name << endl;
  101:         map<string, MagDef>::iterator def = library_.find(name);
  102  
  103          if (def != library_.end()) {
  ...
  159      string path_;
  160      string current_;
  161:     MagDefLibrary allStyles_;
  162  
  163:     bool findStyle(const MetaDataCollector& data, MagDef& visdef, StyleEntry&);
  164:     void findStyle(const string&, MagDef& visdef);
  165:     bool findScaling(const MetaDataCollector& data, MagDef& visdef);
  166  
  167      string getAttribute(const string&, const string&, const string&);
  168  
  169:     bool findStyle(const string& name, MagDef& visdef, StyleEntry& info) {
  170          MetaDataCollector criteria;
  171          criteria["name"] = name;

21 matches across 3 files


Searching 337 files for "sh_all_fM48t56i4"

/Users/sylvie/git/magics/share/magics/styles/palettes.json:
 5492              ],
 5493              "eccharts_style" : [
 5494:                 "sh_all_fM48t56i4",
 5495                  "sh_f220t300"
 5496              ],
 ....
 5575              ],
 5576              "eccharts_style" : [
 5577:                 "sh_all_fM48t56i4_ct_wh"
 5578              ],
 5579              "keywords" : [
 ....
 6671              ],
 6672              "eccharts_style" : [
 6673:                 "sh_all_fM48t56i4_ct_wh",
 6674                  "sh_all_fM52t48i4",
 6675                  "sh_all_fM64t36i4",
 ....
 6818              ],
 6819              "eccharts_style" : [
 6820:                 "sh_all_fM48t56i4_ct_wh",
 6821                  "sh_all_fM52t48i4_light"
 6822              ],

/Users/sylvie/git/magics/share/magics/styles/default/contours.json:
 1298                  },
 1299                  "more" : [],
 1300:                 "style" : "sh_all_fM48t56i4",
 1301                  "styles" : [
 1302:                     "sh_all_fM48t56i4",
 1303                      "sh_all_fM64t52i4",
 1304                      "ct_red_i2_dash",
 1305                      "sh_all_fM32t42i2",
 1306:                     "sh_all_fM48t56i4_ct_wh",
 1307                      "sh_all_fM52t48i4",
 1308                      "sh_all_fM52t48i4_light",
 ....
 1321              "scaling" : "1.0"
 1322          },
 1323:         "style" : "sh_all_fM48t56i4",
 1324          "styles" : [
 1325              "sh_gry_fM72t56lst",
 ....
 1328              "transparent_zero_blue",
 1329              "ct_red_i4_t3",
 1330:             "sh_all_fM48t56i4_ct_wh",
 1331              "sh_all_fM52t48i4",
 1332              "sh_all_fM80t56i4_v2",
 ....
 1334              "sh_all_fM52t48i4_light",
 1335              "sh_all_fM64t52i4",
 1336:             "sh_all_fM48t56i4"
 1337          ]
 1338      },
 ....
 1537                  },
 1538                  "more" : [],
 1539:                 "style" : "sh_all_fM48t56i4",
 1540                  "styles" : [
 1541:                     "sh_all_fM48t56i4",
 1542                      "sh_all_fM64t52i4",
 1543                      "ct_red_i2_dash",
 1544                      "sh_all_fM32t42i2",
 1545:                     "sh_all_fM48t56i4_ct_wh",
 1546                      "sh_all_fM52t48i4",
 1547                      "sh_all_fM52t48i4_light",
 ....
 1573              "scaling" : "1.0"
 1574          },
 1575:         "style" : "sh_all_fM48t56i4",
 1576          "styles" : [
 1577              "sh_gry_fM72t56lst",
 ....
 1586              "ct_mc_t_fM80t60_blue",
 1587              "ct_red_i4_t3",
 1588:             "sh_all_fM48t56i4_ct_wh",
 1589              "sh_all_fM52t48i4_light",
 1590              "sh_all_fM64t52i4",
 1591:             "sh_all_fM48t56i4"
 1592          ]
 1593      },
 ....
 1680                  },
 1681                  "more" : [],
 1682:                 "style" : "sh_all_fM48t56i4",
 1683                  "styles" : [
 1684:                     "sh_all_fM48t56i4",
 1685                      "sh_all_fM64t52i4",
 1686                      "ct_red_i2_dash",
 1687                      "sh_all_fM32t42i2",
 1688:                     "sh_all_fM48t56i4_ct_wh",
 1689                      "sh_all_fM52t48i4",
 1690                      "sh_all_fM52t48i4_light",
 ....
 1716              "scaling" : "1.0"
 1717          },
 1718:         "style" : "sh_all_fM48t56i4",
 1719          "styles" : [
 1720              "sh_gry_fM72t56lst",
 ....
 1729              "ct_mc_t_fM80t60_blue",
 1730              "ct_red_i4_t3",
 1731:             "sh_all_fM48t56i4_ct_wh",
 1732              "sh_all_fM52t48i4_light",
 1733              "sh_all_fM64t52i4",
 1734:             "sh_all_fM48t56i4"
 1735          ]
 1736      },
 ....
 2108                  },
 2109                  "more" : [],
 2110:                 "style" : "sh_all_fM48t56i4",
 2111                  "styles" : [
 2112:                     "sh_all_fM48t56i4",
 2113                      "sh_all_fM64t52i4",
 2114                      "ct_red_i2_dash",
 2115                      "sh_all_fM32t42i2",
 2116:                     "sh_all_fM48t56i4_ct_wh",
 2117                      "sh_all_fM52t48i4",
 2118                      "sh_all_fM52t48i4_light",
 ....
 2129              "scaling" : "1.0"
 2130          },
 2131:         "style" : "sh_all_fM48t56i4",
 2132          "styles" : [
 2133              "sh_gry_fM72t56lst",
 ....
 2136              "sh_all_fM32t42i2",
 2137              "transparent_zero_blue",
 2138:             "sh_all_fM48t56i4_ct_wh",
 2139              "ct_red_i4_t3",
 2140              "sh_all_fM52t48i4_light",
 2141              "sh_all_fM64t52i4",
 2142:             "sh_all_fM48t56i4"
 2143          ]
 2144      },

/Users/sylvie/git/magics/share/magics/styles/default/palettes.json:
 1691              "27",
 1692              "eccharts",
 1693:             "sh_all_fM48t56i4",
 1694              "sh_f220t300",
 1695              "rainbow",
 ....
 1740              "magenta",
 1741              "temperature",            
 1742:             "sh_all_fM48t56i4_ct_wh",
 1743              "2m temperature percentile",
 1744              "2 metre dew point temperature percentile",
 ....
 1822              "magenta",
 1823              "temperature",            
 1824:             "sh_all_fM48t56i4_ct_wh",
 1825              "2m temperature percentile",
 1826              "2 metre dew point temperature percentile",
 ....
 1875              "magenta",
 1876              "temperature",            
 1877:             "sh_all_fM48t56i4_ct_wh",
 1878              "2m temperature percentile",
 1879              "2 metre dew point temperature percentile",

/Users/sylvie/git/magics/share/magics/styles/eccharts/styles.json:
  613                  }
  614              ],
  615:             "style" : "sh_all_fM48t56i4",
  616              "styles" : [
  617:                 "sh_all_fM48t56i4",
  618                  "sh_all_fM64t52i4",
  619                  "ct_red_i2_dash",
  620                  "sh_all_fM32t42i2",
  621:                 "sh_all_fM48t56i4_ct_wh",
  622                  "sh_all_fM52t48i4",
  623                  "sh_all_fM52t48i4_light",
  ...
  808                  }
  809              ],
  810:             "style" : "sh_all_fM48t56i4",
  811              "styles" : [
  812:                 "sh_all_fM48t56i4",
  813                  "sh_all_fM64t52i4",
  814                  "ct_red_i2_dash",
  815                  "sh_all_fM32t42i2",
  816:                 "sh_all_fM48t56i4_ct_wh",
  817                  "sh_all_fM52t48i4",
  818                  "sh_all_fM52t48i4_light",
  ...
  900                  }
  901              ],
  902:             "style" : "sh_all_fM48t56i4",
  903              "styles" : [
  904:                 "sh_all_fM48t56i4",
  905                  "sh_all_fM64t52i4",
  906                  "ct_red_i2_dash",
  907                  "sh_all_fM32t42i2",
  908:                 "sh_all_fM48t56i4_ct_wh",
  909                  "sh_all_fM52t48i4",
  910                  "sh_all_fM52t48i4_light",
  ...
 1206                  }
 1207              ],
 1208:             "style" : "sh_all_fM48t56i4",
 1209              "styles" : [
 1210:                 "sh_all_fM48t56i4",
 1211                  "sh_all_fM64t52i4",
 1212                  "ct_red_i2_dash",
 1213                  "sh_all_fM32t42i2",
 1214:                 "sh_all_fM48t56i4_ct_wh",
 1215                  "sh_all_fM52t48i4",
 1216                  "sh_all_fM52t48i4_light",

/Users/sylvie/git/magics/share/magics/styles/ecmwf/2t.json:
    4      "prefered_units": "C",
    5      "styles": [
    6:       "sh_all_fM48t56i4",
    7        "sh_all_fM64t52i4",
    8        "ct_red_i2_dash",
    9        "sh_all_fM32t42i2",
   10:       "sh_all_fM48t56i4_ct_wh",
   11        "sh_all_fM52t48i4",
   12        "sh_all_fM52t48i4_light",

/Users/sylvie/git/magics/share/magics/styles/ecmwf/2t_dewpoint.json:
    4      "prefered_units": "C",
    5      "styles": [
    6:       "sh_all_fM48t56i4",
    7        "sh_all_fM64t52i4",
    8        "ct_red_i2_dash",
    9        "sh_all_fM32t42i2",
   10:       "sh_all_fM48t56i4_ct_wh",
   11        "sh_all_fM52t48i4",
   12        "sh_all_fM52t48i4_light",

/Users/sylvie/git/magics/share/magics/styles/ecmwf/mn2t.json:
    4      "prefered_units": "C",
    5      "styles": [
    6:       "sh_all_fM48t56i4",
    7        "sh_all_fM64t52i4",
    8        "ct_red_i2_dash",
    9        "sh_all_fM32t42i2",
   10:       "sh_all_fM48t56i4_ct_wh",
   11        "sh_all_fM52t48i4",
   12        "sh_all_fM52t48i4_light",

/Users/sylvie/git/magics/share/magics/styles/ecmwf/mx2t.json:
    4      "prefered_units": "C",
    5      "styles": [
    6:       "sh_all_fM48t56i4",
    7        "sh_all_fM64t52i4",
    8        "ct_red_i2_dash",
    9        "sh_all_fM32t42i2",
   10:       "sh_all_fM48t56i4_ct_wh",
   11        "sh_all_fM52t48i4",
   12        "sh_all_fM52t48i4_light",

/Users/sylvie/git/magics/share/magics/styles/ecmwf/styles.json:
 3243          "contour_title" : "Contour shade (Range: -48 / 48)"
 3244      },
 3245:     "sh_all_fM48t56i4" : {
 3246          "contour" : "off",
 3247          "contour_description" : "Method : Area fill Level range : -48 to 56 Interval : 4 Thickness : 3 Colour : All colours Used for temperature",
 ....
 3262          "grib_missing_value_indicator" : 9999
 3263      },
 3264:     "sh_all_fM48t56i4_ct_wh" : {
 3265          "contour_description" : "Method : Area fill & grey contours Level range : -48 to 56 Interval : 2 Thickness : 1 Colour : All colours Used for temperature",
 3266          "contour_highlight_colour" : "rgb(0.4,0.1,1)",

54 matches across 9 files


Searching 2 files for "sh_all_fM48t56i4"

/Users/sylvie/git/magics/share/magics/styles/eccharts/styles.json:
  613                  }
  614              ],
  615:             "style" : "sh_all_fM48t56i4",
  616              "styles" : [
  617:                 "sh_all_fM48t56i4",
  618                  "sh_all_fM64t52i4",
  619                  "ct_red_i2_dash",
  620                  "sh_all_fM32t42i2",
  621:                 "sh_all_fM48t56i4_ct_wh",
  622                  "sh_all_fM52t48i4",
  623                  "sh_all_fM52t48i4_light",
  ...
  808                  }
  809              ],
  810:             "style" : "sh_all_fM48t56i4",
  811              "styles" : [
  812:                 "sh_all_fM48t56i4",
  813                  "sh_all_fM64t52i4",
  814                  "ct_red_i2_dash",
  815                  "sh_all_fM32t42i2",
  816:                 "sh_all_fM48t56i4_ct_wh",
  817                  "sh_all_fM52t48i4",
  818                  "sh_all_fM52t48i4_light",
  ...
  900                  }
  901              ],
  902:             "style" : "sh_all_fM48t56i4",
  903              "styles" : [
  904:                 "sh_all_fM48t56i4",
  905                  "sh_all_fM64t52i4",
  906                  "ct_red_i2_dash",
  907                  "sh_all_fM32t42i2",
  908:                 "sh_all_fM48t56i4_ct_wh",
  909                  "sh_all_fM52t48i4",
  910                  "sh_all_fM52t48i4_light",
  ...
 1206                  }
 1207              ],
 1208:             "style" : "sh_all_fM48t56i4",
 1209              "styles" : [
 1210:                 "sh_all_fM48t56i4",
 1211                  "sh_all_fM64t52i4",
 1212                  "ct_red_i2_dash",
 1213                  "sh_all_fM32t42i2",
 1214:                 "sh_all_fM48t56i4_ct_wh",
 1215                  "sh_all_fM52t48i4",
 1216                  "sh_all_fM52t48i4_light",

/Users/sylvie/git/magics/share/magics/styles/ecmwf/styles.json:
 3243          "contour_title" : "Contour shade (Range: -48 / 48)"
 3244      },
 3245:     "sh_all_fM48t56i4" : {
 3246          "contour" : "off",
 3247          "contour_description" : "Method : Area fill Level range : -48 to 56 Interval : 4 Thickness : 3 Colour : All colours Used for temperature",
 ....
 3262          "grib_missing_value_indicator" : 9999
 3263      },
 3264:     "sh_all_fM48t56i4_ct_wh" : {
 3265          "contour_description" : "Method : Area fill & grey contours Level range : -48 to 56 Interval : 2 Thickness : 1 Colour : All colours Used for temperature",
 3266          "contour_highlight_colour" : "rgb(0.4,0.1,1)",

14 matches across 2 files


Searching 421 files for "automating"

0 matches

Searching 9 files for "automatic"

/Users/sylvie/git/magics/docs/manual/chapters/contour.xml:
   46      <title>Contouring Methods in Magics</title>
   47  
   48:     <section id="Automatic_Contouring">
   49:       <title>Automatic Contouring</title>
   50  
   51:       <para>By default, <productname>Magics</productname> automatically selects a contouring method
   52        for a particlar plot by comparing the resolution of the input data with the size of the
   53        geographic area selected and the the physical size of the page to be plotted. In the simplest
   ..
   56        If the data's resolution is too low for smooth contouring to be generated, then the 
   57        <code>AKIMA760</code> <remark>what about 474? why 760?</remark>method will be used.
   58:       As automatic selection is the default method, no
   59        user action is required to activate it. For completeness, the following code shows how to
   60        set it: </para>
   61        
   62        <programlisting>
   63:     CALL <function>PSETC</function> ('<parameter>CONTOUR_METHOD</parameter>', 'AUTOMATIC')
   64        </programlisting>
   65        
   ..
  121  
  122        <para>The default value for <parameter>CONTOUR_METHOD</parameter> is
  123:       '<code>AUTOMATIC</code>'. When in this mode,
  124        <productname>Magics</productname> will perform a check to compare the
  125        resolution of the input data with the size of the geographical area and
  ...
  132        quality and performance, with the emphasis on quality.</para>
  133  
  134:       <para>The user may override this automatic mode by manually setting the
  135        parameters as illustrated in the following FORTRAN code fragment:</para>
  136  
  ...
  596            <code>18.0</code>. The following figure shows the hatch shading
  597            patterns. Setting <parameter>CONTOUR_SHADE_HATCH_INDEX</parameter>
  598:           to <code>1</code> (default) provides an automatic sequence of
  599            patterns; other values set a constant hatch pattern across all
  600            contour bands.</para>
  ...
  643            <para>If more than one band is to be shaded when
  644            <function>PCONT</function> is called, the dot density for each band
  645:           will be automatically calculated. The maximum density will occur in
  646            the band between <parameter>CONTOUR_SHADE_MAX_LEVEL</parameter> and
  647            the level immediately below it and the minimum density in the band
  ...
  848  
  849        <para>THIS DOES NOT WORK AT 02/09/2009: Blanking of contour labels and highs and lows is performed
  850:       automatically, but may be turned off by setting the parameter
  851        <parameter>CONTOUR_SHADE_LABEL_BLANKING</parameter> to
  852        '<code>OFF</code>', the default being '<code>ON</code>'.</para>
  ...
  906      <parameter>INPUT_FIELD_SUPPRESS_ABOVE</parameter> and values below
  907      <parameter>INPUT_FIELD_SUPPRESS_BELOW</parameter>, are not plotted when
  908:     plotting grid point values. This will happen automatically and there is no
  909      need to set any extra parameters.</para>
  910  </remark>

/Users/sylvie/git/magics/docs/manual/chapters/tutorial/contour_4.xml:
   32              <parameter name='legend' value='on' function='psetc'/>
   33          </requirement>
   34:           <requirement name='d' subject='Contour selection' text='Automatic selection of suitable levels'
   35              link_doc='contour' link_ptr='Contour_Levels_Selected_by_COUNT'>
   36              <action name='pcont'/>
   ..
   43              <parameter name='contour_shade_method' value='area_fill' function='psetc'/>
   44          </requirement>    
   45:         <requirement name='f' subject='Colours Selection' text='Solid shading using automatic selection of colours'
   46              link_doc='contour' link_ptr='Contour_Shade_Colour_Methods'>
   47              <action name='pcont'/>
   ..
   53              <parameter name='contour_shade_colour_direction' value='clockwise' function='psetc'/>
   54          </requirement>   
   55:         <requirement name='g' subject='Automatic title' text='add an title ( automaticaly created from the grib header)'>
   56              <action name='ptext'/>        
   57          </requirement>  

/Users/sylvie/git/magics/src/params/Contour.xml:
   28    	</parameter> 
   29        
   30:   	<parameter member="method" to="ContourMethod" default="automatic" from="string" name="contour_method">
   31           		<documentation> Contouring method  		</documentation>
   32:          		<option xml="automatic" fortran="automatic"  include="AutomaticContourMethod.h" name="AutomaticContourMethod">		</option>
   33           				
   34           		<option xml="linear" fortran="linear" include="ContourMethod.h" name="ContourMethod">		</option>
   ..
   51  	</parameter>
   52  
   53: 	<parameter from="string" name="contour_automatic_setting" default="off" member="setting" to="string" values="off/style_name/ecmwf"> 
   54:     		<documentation> Turn the automatic setting of contouring attributes  		</documentation>
   55:     		<unset name="contour_automatic_library_path" value="off">		</unset>
   56      		<set name="contour_style_name" value="style_name">		</set>
   57  	</parameter>
   ..
   67      </parameter>
   68  
   69: 	<parameter from="string" name="contour_automatic_library_path" visible="off" default="" member="library_path" to="string"> 
   70:          		<documentation> Users can give their own directory to setup the automatic library of contours 		</documentation>
   71  	</parameter>
   72  

/Users/sylvie/git/magics/src/params/ContourLibrary.xml:
   13      <parameter from="string" name="contour_predefined_setting" default="" member="predefined" to="string"> 
   14              <documentation>Use of a predeined setting         </documentation>
   15:             <unset name="contour_automatic_library_path" value="off">       </unset>
   16:             <set name="contour_automatic_library_path" value="on">      </set>
   17      </parameter>
   18  
   19  
   20: 	<parameter from="string" name="contour_automatic_library_path" visible="off" default="" member="library_path" to="string"> 
   21:          		<documentation> Users can give their own directory to setup the automatic library of contours 		</documentation>
   22  	</parameter>
   23  </class>

29 matches across 4 files


Searching 4 files for "automatic"

/Users/sylvie/git/magics/src/params/Contour.xml:
   28    	</parameter> 
   29        
   30:   	<parameter member="method" to="ContourMethod" default="automatic" from="string" name="contour_method">
   31           		<documentation> Contouring method  		</documentation>
   32:          		<option xml="automatic" fortran="automatic"  include="AutomaticContourMethod.h" name="AutomaticContourMethod">		</option>
   33           				
   34           		<option xml="linear" fortran="linear" include="ContourMethod.h" name="ContourMethod">		</option>
   ..
   51  	</parameter>
   52  
   53: 	<parameter from="string" name="contour_automatic_setting" default="off" member="setting" to="string" values="off/style_name/ecmwf"> 
   54:     		<documentation> Turn the automatic setting of contouring attributes  		</documentation>
   55:     		<unset name="contour_automatic_library_path" value="off">		</unset>
   56      		<set name="contour_style_name" value="style_name">		</set>
   57  	</parameter>
   ..
   67      </parameter>
   68  
   69: 	<parameter from="string" name="contour_automatic_library_path" visible="off" default="" member="library_path" to="string"> 
   70:          		<documentation> Users can give their own directory to setup the automatic library of contours 		</documentation>
   71  	</parameter>
   72  

/Users/sylvie/git/magics/src/params/ContourLibrary.xml:
   13      <parameter from="string" name="contour_predefined_setting" default="" member="predefined" to="string"> 
   14              <documentation>Use of a predeined setting         </documentation>
   15:             <unset name="contour_automatic_library_path" value="off">       </unset>
   16:             <set name="contour_automatic_library_path" value="on">      </set>
   17      </parameter>
   18  
   19  
   20: 	<parameter from="string" name="contour_automatic_library_path" visible="off" default="" member="library_path" to="string"> 
   21:          		<documentation> Users can give their own directory to setup the automatic library of contours 		</documentation>
   22  	</parameter>
   23  </class>

14 matches across 2 files


Searching 1231 files for "ratio"

/Users/sylvie/git/magics/apps/MagMLInterpretor/json.cc:
   60  void catch_alarm(int)
   61  {
   62:     printf("MagPlus ERROR: Operation timed out. Exiting...\n");
   63      abort();
   64  }

/Users/sylvie/git/magics/apps/MagMLInterpretor/magml.cc:
   72  void catch_alarm(int)
   73  {
   74: 	printf("MagPlus ERROR: Operation timed out. Exiting...\n");
   75  	abort();   
   76  }

/Users/sylvie/git/magics/src/Iterable.h:
   29  
   30      Iterable(const Container& cont) : container(cont) {}
   31:     Iterable(Iterable&&) = default;  // allow move construction, suppress move assignment and copy operations
   32  };
   33  

/Users/sylvie/git/magics/src/MagicsDouble.cc:
   19   \section intro What is Magics++?
   20  
   21:  Magics++ is the second generation of a meteorological graphics
   22   library developed at the <a href="http://www.ecmwf.int"><i>European
   23   Centre for Medium Range Forecasts (ECMWF)</i></a>. This library is

/Users/sylvie/git/magics/src/ReverseIterable.h:
   24  
   25  /**
   26:  * Utility declarations to enable a reverse iteration of a container
   27   * using range-based for loops
   28   * Useful for AutoVector
   ..
   35  };
   36  
   37: // wrapper function to mark container for reverse iteration
   38  template <typename I>
   39  ReverseIterable<I> reverseIterable(I&& container) {
   ..
   41  }
   42  
   43: // redefine begin() & end() on marker type for reverse iteration
   44  template <typename I>
   45  auto begin(ReverseIterable<I>& revcon) {

/Users/sylvie/git/magics/src/basic/FortranMagics.cc:
  451  void FortranMagics::finish() {
  452      if (!empty_) {
  453:         actions();  // The flag to force the generation of the plot has been set!
  454          while (!axis_.empty()) {
  455              axisContainer_->push_back(axis_.top());
  ...
 1062          MagLog::error() << e << "\n";
 1063      }
 1064:     empty_ = false;  // Force the generation of the plot!
 1065  }
 1066  

/Users/sylvie/git/magics/src/basic/Layer.cc:
  946  }
  947  
  948: bool LevelDescription::operator<(const LevelDescription& other) const  // DEclaration function in Data.h
  949  {
  950      if (this->surface_) {
  ...
  970  }
  971  
  972: bool DateDescription::operator<(const DateDescription& other) const  // DEclaration function in Data.h
  973  {
  974      if (this->valid_ == other.valid_)

/Users/sylvie/git/magics/src/basic/LegendVisitor.cc:
  355      double maxy = legend_->maxY();
  356  
  357:     double height  = (100 / (100 - title_ratio_)) * (maxy - miny);
  358      double newmaxy = miny + height;
  359  
  ...
  370      double maxy = legend_->maxY();
  371  
  372:     double height  = (100 / (100 - title_ratio_)) * (maxy - miny);
  373      double newminy = maxy - height;
  374  
  ...
  386  
  387      bool column    = (legend_->absoluteWidth() < legend_->absoluteHeight());
  388:     double width   = (100 / (100 - title_ratio_)) * (maxx - minx);
  389      double newmaxx = minx + width;
  390  
  ...
  411      titleAngle_         = (column) ? magics::PI * 1.5 : 0;
  412  
  413:     double width   = (100 / (100 - title_ratio_)) * (maxx - minx);
  414      double newminx = maxx - width;
  415  

/Users/sylvie/git/magics/src/basic/RootSceneNode.cc:
  281  }
  282  void RootSceneNode::execute() {
  283:     Timer timer("execute", "preparation of the graphical tree");
  284  
  285  
  ...
  288  
  289  BasicGraphicsObject* RootSceneNode::visualise() {
  290:     Timer timer("execute", "preparation of the graphical tree");
  291  
  292      return latest_->visualise();

/Users/sylvie/git/magics/src/basic/TagHandler.cc:
  375      }
  376      catch (...) {
  377:         MagLog::warning() << "Cannot find entities declaration : " << path << " [Ignore them]" << endl;
  378      }
  379  }

/Users/sylvie/git/magics/src/basic/TextVisitor.cc:
   89      clear();
   90  
   91:     vector<double>::iterator ratio = height_ratios_.begin();
   92      currentTexts_.clear();
   93  
   94      for (vector<string>::iterator line = lines_.begin(); line != lines_.end(); ++line) {
   95          double font_size = font_size_;
   96:         if (ratio != height_ratios_.end()) {
   97:             font_size *= *ratio;
   98:             ++ratio;
   99          }
  100          MagFont font(font_);
  ...
  154  
  155      vector<string>::reverse_iterator lend   = lines_.rend();
  156:     vector<double>::reverse_iterator ratios = height_ratios_.rbegin();
  157      currentTexts_.clear();
  158  
  159      for (vector<string>::reverse_iterator line = lines_.rbegin(); line != lend; ++line) {
  160:         double ratio = (ratios == height_ratios_.rend()) ? 1 : *ratios;
  161  
  162:         if (ratios != height_ratios_.rend())
  163:             ++ratios;
  164          MagFont font(font_);
  165          font.style(font_style_);
  166:         font.size(font_size_ * ratio);
  167          font.colour(font_colour_->name());
  168          TagConverter converter(*this);
  ...
  208  
  209      double last  = orientation_ == "horizontal" ? (0.10 / absheight) * 100 : (0.10 / abswidth) * 100;  // in %
  210:     double ratio = OutputHandler::patchLineSpacing();
  211:     double gap   = height * ratio;
  212  
  213      double angle = 0;
  ...
  231          if (orientation_ == "horizontal") {
  232              angle = 0;
  233:             gap   = (*text)->noText() ? (font_size_ / absheight) * 100 * ratio
  234:                                     : (((*text)->getFontMax() / absheight) * 100) * ratio;
  235              (*text)->push_back(PaperPoint(x, last));  // approximate position to be improved
  236          }
  ...
  239              ;
  240              (*text)->setVerticalAlign(MTOP);
  241:             gap = (*text)->noText() ? (font_size_ / abswidth) * 100 * ratio
  242:                                     : (((*text)->getFontMax() / abswidth) * 100) * ratio;
  243              (*text)->push_back(PaperPoint(last, x));  // approximate position to be improved
  244          }
  ...
  252                  x = 50.;
  253              angle = 3.14 / 2;
  254:             gap   = (*text)->noText() ? (font_size_ / abswidth) * ratio
  255:                                     : (((*text)->getFontMax() / abswidth) * 100) * ratio;
  256              (*text)->push_back(PaperPoint(last, x));  // approximate position to be improved
  257          }
  ...
  371      if (lines_.empty()) {
  372          stringarray lines;
  373:         vector<double> ratios;
  374  
  375          interpret(line1_, lines);
  376:         ratios.push_back(height_ratio_1_);
  377          interpret(line2_, lines);
  378:         ratios.push_back(height_ratio_2_);
  379          interpret(line3_, lines);
  380:         ratios.push_back(height_ratio_3_);
  381          interpret(line4_, lines);
  382:         ratios.push_back(height_ratio_4_);
  383          interpret(line5_, lines);
  384:         ratios.push_back(height_ratio_5_);
  385          interpret(line6_, lines);
  386:         ratios.push_back(height_ratio_6_);
  387          interpret(line7_, lines);
  388:         ratios.push_back(height_ratio_7_);
  389          interpret(line8_, lines);
  390:         ratios.push_back(height_ratio_8_);
  391          interpret(line9_, lines);
  392:         ratios.push_back(height_ratio_9_);
  393          interpret(line10_, lines);
  394:         ratios.push_back(height_ratio_10_);
  395  
  396          if (first_ > 10) {
  ...
  418              else
  419                  lines_.push_back(lines[first_ + i - 1]);
  420:             height_ratios_.push_back(ratios[first_ + i - 1]);
  421          }
  422      }

/Users/sylvie/git/magics/src/basic/ViewNode.cc:
  378      double waa = wab;
  379      double haa = hab;
  380:     MagLog::dev() << "after aspect ratio -->[" << waa << ", " << haa << "]" << endl;
  381  
  382  
  ...
  390          absoluteRootWidth(waa);
  391          absoluteRootHeight(haa);
  392:         viewTransformation_->aspectRatio(waa, haa);
  393          w2 = waa / width.absolute() * 100;
  394          h2 = haa / height.absolute() * 100;
  ...
  401      }
  402      else if (fitted_ == "crop") {
  403:         viewTransformation_->aspectRatio(waa, haa);
  404          absoluteRootWidth(waa);
  405          absoluteRootHeight(haa);
  ...
  407  
  408      else {
  409:         viewTransformation_->aspectRatio(waa, haa);
  410          w2 = waa / width.absolute() * 100;
  411          h2 = haa / height.absolute() * 100;
  ...
  568      MagLog::dev() << "[" << width << ", " << height << "]" << endl;
  569  
  570:     viewTransformation_->aspectRatio(abswidth, absheight);
  571:     MagLog::dev() << "after aspect ratio -->[" << abswidth << ", " << absheight << "]" << endl;
  572      MagLog::dev() << "[" << abswidth << ", " << absheight << "]" << endl;
  573      MagLog::dev() << "[" << absoluteWidth() << ", " << absoluteWidth() << "]" << endl;

/Users/sylvie/git/magics/src/common/ArrowProperties.cc:
   36      originHeight_(0),
   37      headIndex_(0),
   38:     headRatio_(0.3) {}
   39  
   40  void ArrowProperties::copy(const ArrowProperties& from) {
   ..
   48      originHeight_  = from.originHeight_;
   49      headIndex_     = from.headIndex_;
   50:     headRatio_     = from.headRatio_;
   51  }
   52  

/Users/sylvie/git/magics/src/common/ArrowProperties.h:
   73      int getHeadIndex() const { return headIndex_; }
   74  
   75:     void setHeadRatio(double ratio) { headRatio_ = ratio; }
   76:     double getHeadRatio() const { return headRatio_; }
   77  
   78      void setColour(const Colour& colour) { colour_ = colour; }
   ..
   93      double originHeight_;
   94      int headIndex_;
   95:     double headRatio_;
   96  };
   97  }  // namespace magics

/Users/sylvie/git/magics/src/common/CartesianTransformation.cc:
  135      */
  136  }
  137: void CartesianTransformation::aspectRatio(double& width, double& height) {
  138      init();
  139      double w = getAbsoluteMaxPCX() - getAbsoluteMinPCX();

/Users/sylvie/git/magics/src/common/CartesianTransformation.h:
   63      }
   64  
   65:     void aspectRatio(double&, double&);
   66  
   67      virtual Transformation* clone() const {

/Users/sylvie/git/magics/src/common/Colour.cc:
  207      {
  208          hsl.hue_        = 0;  // HSL results = From 0 to 1
  209:         hsl.saturation_ = 0;
  210      }
  211      else  // Chromatic data...
  212      {
  213          if (hsl.light_ < 0.5)
  214:             hsl.saturation_ = diff / (max + min);
  215          else
  216:             hsl.saturation_ = diff / (2 - max - min);
  217  
  218          float red   = (((max - red_) / 6) + (diff / 2)) / diff;
  ...
  255      rgb.alpha_ = alpha_;
  256      float var1, var2;
  257:     if (saturation_ == 0) {
  258          rgb.red_   = light_;
  259          rgb.green_ = light_;
  ...
  262      else {
  263          if (light_ < 0.5)
  264:             var2 = light_ * (1 + saturation_);
  265          else
  266:             var2 = (light_ + saturation_) - (saturation_ * light_);
  267  
  268          var1 = 2 * light_ - var2;
  ...
  455          if (in.eof())
  456              throw BadHslFormat();
  457:         in >> saturation_;
  458:         if (saturation_ < 0 || saturation_ > 1)
  459              throw BadHslFormat();
  460  
  ...
  476          if (in.eof())
  477              throw BadHslFormat();
  478:         in >> saturation_;
  479:         if (saturation_ < 0 || saturation_ > 1)
  480              throw BadHslFormat();
  481  
  ...
  539  
  540      s.ignore(256, ',');
  541:     s >> p.saturation_;
  542:     if (p.saturation_ < 0 || p.saturation_ > 1)
  543          throw BadHslFormat();
  544      s.ignore(256, ',');

/Users/sylvie/git/magics/src/common/Colour.h:
   78  
   79  struct Hsl {
   80:     Hsl(float hue = 0., float saturation = 1., float light = 1., float alpha = 1.) :
   81          hue_(hue),
   82:         saturation_(saturation),
   83          light_(light),
   84          alpha_(alpha) {}
   ..
   86  
   87      bool operator==(const Hsl& other) const {
   88:         return (hue_ == other.hue_ && saturation_ == other.saturation_ && light_ == other.light_ &&
   89                  alpha_ == other.alpha_);
   90      }
   91      float hue_;
   92:     float saturation_;
   93      float light_;
   94      float alpha_;
   ..
   99      // -- Friends
  100      friend ostream& operator<<(ostream& s, const Hsl& p) {
  101:         s << "HSL(" << p.hue_ << ", " << p.saturation_ << ", " << p.light_ << ", " << p.alpha_ << ")";
  102          return s;
  103      }

/Users/sylvie/git/magics/src/common/ColourTableDefinitionCompute.cc:
   85  
   86  
   87:     step_sat   = (hmax.saturation_ - hmin.saturation_) / (nb - 2);
   88      step_light = (hmax.light_ - hmin.light_) / (nb - 2);
   89      step_alpha = (hmax.alpha_ - hmin.alpha_) / (nb - 2);
   ..
  105          step_sat = 0;
  106          step_hue = 0;
  107:         hmin.saturation_ = hmax.saturation_;
  108          hmin.hue_ = hmax.hue_;
  109  
  ...
  124          MagLog::dev() << "ColourTableDefinitionCompute::set->add-->" << Colour(hmin) << endl;
  125          table.push_back(Colour(hmin));
  126:         hmin.saturation_ += step_sat;
  127          hmin.hue_ += step_hue;
  128          hmin.light_ += step_light;

/Users/sylvie/git/magics/src/common/Emagram.cc:
   77      }
   78  
   79:     // To have a proper ascpect ratio we always work with a 100x100 rectangle
   80      minPCX_ = 0;
   81      maxPCX_ = 100;
   ..
  165  }
  166  
  167: void Emagram::aspectRatio(double& width, double& height) {
  168:     Transformation::aspectRatio(width, height);
  169  }
  170  

/Users/sylvie/git/magics/src/common/Emagram.h:
   80      virtual bool needShiftedCoastlines() const;
   81      /*!
   82:     \\brief set the aspect ratio!
   83      */
   84:     virtual void aspectRatio(double&, double&);
   85      /*!
   86      \\brief set the bounding box!

/Users/sylvie/git/magics/src/common/GeoRectangularProjection.cc:
  134  
  135  
  136: void GeoRectangularProjection::aspectRatio(double& w, double& h) {
  137      init();
  138:     Transformation::aspectRatio(w, h);
  139  }
  140  
  ...
  475  */
  476  void GeoRectangularProjection::coastSetting(map<string, string>& setting, double abswidth, double absheight) const {
  477:     // work out the ratios of geographical to paper lengths
  478:     const double xratio = (max_longitude_ - min_longitude_) / abswidth;
  479:     const double yratio = (max_latitude_ - min_latitude_) / absheight;
  480  
  481:     // choose the smallest (smaller ratio means more detail required)
  482:     const double ratio = min(xratio, yratio);
  483  
  484      std::string resol = "110m";
  485:     if (ratio < 0.8)  // highest resolution
  486      {
  487          resol = "10m";
  488      }
  489:     else if (ratio < 3.5)  // medium resolution
  490      {
  491          resol = "50m";
  ...
  502      setting["administrative_boundaries"] = "10m/ne_10m_admin_1_states_provinces";
  503  
  504:     MagLog::dev() << "GeoRectangularProjection::coastSetting[" << abswidth << ", " << absheight << "]->" << ratio
  505                    << " resol: " << resol << endl;
  506  }
  ...
  619  }
  620  
  621: double GeoRectangularProjection::ratio() const {
  622      // return domain/fulldomain!
  623  

/Users/sylvie/git/magics/src/common/GeoRectangularProjection.h:
   57      }
   58  
   59:     double ratio() const;
   60      virtual Transformation* clone() const {
   61          GeoRectangularProjection* transformation = new GeoRectangularProjection();
   ..
   91      virtual bool needShiftedCoastlines() const;
   92      /*!
   93:     \\brief set the aspect ratio!
   94      */
   95:     virtual void aspectRatio(double&, double&);
   96      /*!
   97      \\brief set the bounding box!

/Users/sylvie/git/magics/src/common/MagicsCalls.cc:
  759      bool operator()(int index) {
  760          MagLog::info() << "Compatibility issue: Parameter wind_arrow_index_head does not exist anymore.\n"
  761:                        << "            use wind_arrow_head_shape and wind_arrow_head_ratio instead." << endl;
  762          const int head_index = (int)index / 10;
  763:         const int ratio      = index % 10;
  764:         double head_ratio;
  765  
  766:         if (ratio == 1)
  767:             head_ratio = 0.3;
  768:         else if (ratio == 2)
  769:             head_ratio = 0.6;
  770:         else if (ratio == 3)
  771:             head_ratio = 1.;
  772:         else if (ratio == 4)
  773:             head_ratio = 1.3;
  774:         else if (ratio == 5)
  775:             head_ratio = 1.6;
  776:         else if (ratio == 6)
  777:             head_ratio = 2.0;
  778          else {
  779:             MagLog::warning() << "invalid ratio " << ratio << " revert to default 1." << endl;
  780:             head_ratio = 1.;
  781          }
  782  
  783:         MagLog::info() << "  wind_arrow_head_index set to " << head_index << "AND wind_arrow_head_ratio set to "
  784:                        << head_ratio << endl;
  785  
  786          ParameterManager::set("wind_arrow_head_shape", head_index);
  787:         ParameterManager::set("wind_arrow_head_ratio", head_ratio);
  788          return true;
  789      }

/Users/sylvie/git/magics/src/common/MagicsParameter.h:
   30  class MagicsParameter : public BaseParameter {
   31  public:
   32:     MagicsParameter(const string& name, const T& def, const string& migration = "") :
   33          BaseParameter(name),
   34          default_(def),
   35          global_(def),
   36          local_(def),
   37:         migration_(migration) {}
   38  
   39      ~MagicsParameter() {}
   ..
   55      T global_;
   56      T local_;
   57:     string migration_;
   58  
   59  private:

/Users/sylvie/git/magics/src/common/MagTranslator.h:
   23  #define MPP_MagTranslator_H
   24  
   25: // Forward declarations
   26  #include "ParameterManager.h"
   27  #include "Tokenizer.h"

/Users/sylvie/git/magics/src/common/PolarStereographicProjection.cc:
  309  }
  310  
  311: void PolarStereographicProjection::aspectRatio(double& width, double& height) {
  312      init(width, height);
  313:     Transformation::aspectRatio(width, height);
  314  }
  315  
  ...
  798  
  799  void PolarStereographicProjection::coastSetting(map<string, string>& setting, double abswidth, double absheight) const {
  800:     // work out the ratios of geographical to paper lengths
  801:     const double xratio = (xpcmax_ - xpcmin_) / abswidth;
  802:     const double yratio = (ypcmax_ - ypcmin_) / absheight;
  803  
  804:     // choose the smallest (smaller ratio means more detail required)
  805:     const double ratio = min(xratio, yratio);
  806  
  807      std::string resol = "110m";
  808:     if (ratio < 100000)  // highest resolution
  809      {
  810          resol = "10m";
  811      }
  812:     else if (ratio < 300000)  // medium resolution
  813      {
  814          resol = "50m";
  ...
  824      setting["administrative_boundaries"] = "10m/ne_10m_admin_1_states_provinces";
  825  
  826:     MagLog::dev() << "GeoRectangularProjection::coastSetting[" << abswidth << ", " << absheight << "]->" << ratio
  827                    << " resol: " << resol << endl;
  828  }

/Users/sylvie/git/magics/src/common/PolarStereographicProjection.h:
   95      Polyline& getUserBoundingBox() const;
   96      /*!
   97:     \\brief set the aspect ratio!
   98      */
   99:     virtual void aspectRatio(double&, double&);
  100      /*!
  101      \\brief set the bounding box!

/Users/sylvie/git/magics/src/common/Proj4Projection.cc:
  441  }
  442  
  443: void Proj4Projection::aspectRatio(double& width, double& height) {
  444:     MagLog::dev() << "Proj4Projection::aspectRatio(...) needs implementing." << endl;
  445:     Transformation::aspectRatio(width, height);
  446  }
  447  
  ...
 1156  
 1157  void Proj4Projection::coastSetting(map<string, string>& setting, double abswidth, double absheight) const {
 1158:     // work out the ratios of geographical to paper lengths
 1159:     // const double xratio = ( xpcmax_ - xpcmin_ ) / abswidth;
 1160:     // const double yratio = ( ypcmax_ - ypcmin_ ) / absheight;
 1161  
 1162:     // choose the smallest (smaller ratio means more detail required)
 1163      const double area = (max_pcx_ - min_pcx_) * (max_pcy_ - min_pcy_);
 1164  
 1165:     double ratio = area / (abswidth * absheight);
 1166  
 1167      std::string resol = "110m";
 1168:     if (ratio < 1000000)  // highest resolution
 1169      {
 1170          resol = "10m";
 1171      }
 1172:     else if (ratio < 3000000)  // medium resolution
 1173      {
 1174          resol = "50m";
 ....
 1321  
 1322  
 1323:     // Now apply teh aspect ratio and reintialise!
 1324  
 1325      min_latitude_  = gridMinLat_;
 ....
 1339  Proj4Automatic::Proj4Automatic() : Proj4Projection("automatic"), init_(false) {}
 1340  
 1341: void Proj4Automatic::aspectRatio(double& width, double& height) {
 1342      width_  = width;
 1343      height_ = height;

/Users/sylvie/git/magics/src/common/Proj4Projection.h:
  105      virtual bool needShiftedCoastlines() const;
  106      /*!
  107:     \\brief set the aspect ratio!
  108      */
  109:     virtual void aspectRatio(double&, double&);
  110      /*!
  111      \\brief set the bounding box!
  ...
  367  public:
  368      Proj4Automatic();
  369:     void aspectRatio(double&, double&);
  370  
  371      void init();

/Users/sylvie/git/magics/src/common/SciMethods.cc:
  124  
  125  double tWet(double td, double t, double p) {
  126:     double r  = mixingRatio(td, p);
  127      double th = theta(t, p);
  128  
  129      double pSec = p;
  130      for (int i = 0; i < 10; i++) {
  131:         double x = 0.02 * (temperatureFromMixingRatio(r, pSec) - temperatureFromTheta(th, pSec));
  132          if (abs(x) < 0.01) {
  133              break;
  ...
  154      double tLCL = temperatureLCL(td, t);
  155      double th   = theta(t, p);
  156:     double thEq = th * exp(2.6518986 * mixingRatio(td, p) / tLCL);
  157      return thEq;
  158  }
  159  
  160  /*!
  161:   \brief computes the equivalent potential temperature on a saturation adiabat
  162  
  163:   This method computes the equivalent potential temperature for a saturation
  164    adiabat.
  165  
  ...
  170  
  171  double thetaEq(double t, double p) {
  172:     return theta(t, p) / exp(-2.6518986 * mixingRatio(t, p) / t);
  173  }
  174  
  175  /*!
  176:   \brief computes the temperature on saturation adiabat
  177  
  178:   This method computes the temperature on a saturation adiabat for
  179    a given equvalent potential temperature and pressure.
  180  
  ...
  189      for (int i = 0; i < 12; i++) {
  190          d /= 2;
  191:         double x = thEq * exp(-2.6518986 * mixingRatio(tq, p) / tq) - theta(tq, p);
  192          if (abs(x) <= 0.0000001) {
  193              break;
  ...
  200  
  201  /*!
  202:   \brief computes the saturation vapour pressure over water from temperature
  203  
  204:   This method computes the saturation vapour pressure
  205    over water from temperature.
  206  
  ...
  209  */
  210  
  211: double saturationVapourPressure(double t) {
  212      double c1 = 23.832241 - 5.02808 * log10(t);
  213      double c2 = 3.49149 - 1302.8844 / t;
  ...
  217  
  218  /*!
  219:   \brief computes the saturation  mixing ratio
  220  
  221:   This method computes the mixing ratio.
  222  
  223    \param t  temperature in K
  224    \param p  pressure in Pa
  225:   \return   saturation mixing ratio in g/kg
  226  */
  227  
  228: double mixingRatio(double t, double p) {
  229:     double e = saturationVapourPressure(t);
  230      return 622. * e / (0.01 * p - e);
  231  }
  232  
  233  
  234: double temperatureFromMixingRatio(double r, double p) {
  235      double pmb = p * 0.01;
  236      double c   = log10(r * pmb / (622. + r));

/Users/sylvie/git/magics/src/common/SciMethods.h:
   44  double thetaEq(double t, double p);
   45  double temperatureFromThetaEq(double thSat, double p);
   46: double saturationVapourPressure(double t);
   47: double mixingRatio(double t, double p);
   48: double temperatureFromMixingRatio(double r, double p);
   49  double temperatureLCL(double td, double t);
   50  double pressureLCL(double td, double t, double p);

/Users/sylvie/git/magics/src/common/Skewt.cc:
   77      }
   78  
   79:     // To have a proper ascpect ratio we always work with a 100x100 rectangle
   80      minPCX_ = 0;
   81      maxPCX_ = 100;
   ..
  170  }
  171  
  172: void Skewt::aspectRatio(double& width, double& height) {
  173:     Transformation::aspectRatio(width, height);
  174  }
  175  

/Users/sylvie/git/magics/src/common/Skewt.h:
   80      virtual bool needShiftedCoastlines() const;
   81      /*!
   82:     \\brief set the aspect ratio!
   83      */
   84:     virtual void aspectRatio(double&, double&);
   85      /*!
   86      \\brief set the bounding box!

/Users/sylvie/git/magics/src/common/TaylorProjection.cc:
   79  }
   80  
   81: void TaylorProjection::aspectRatio(double& width, double& height) {
   82:     Transformation::aspectRatio(width, height);
   83  }
   84  

/Users/sylvie/git/magics/src/common/TaylorProjection.h:
   84      virtual bool needShiftedCoastlines() const;
   85      /*!
   86:     \\brief set the aspect ratio!
   87      */
   88:     virtual void aspectRatio(double&, double&);
   89      /*!
   90      \\brief set the bounding box!

/Users/sylvie/git/magics/src/common/Tephigram.cc:
  172      init();
  173  }
  174: void Tephigram::aspectRatio(double& width, double& height) {
  175:     Transformation::aspectRatio(width, height);
  176  }
  177  

/Users/sylvie/git/magics/src/common/Tephigram.h:
   87      virtual bool needShiftedCoastlines() const;
   88      /*!
   89:     \\brief set the aspect ratio!
   90      */
   91:     virtual void aspectRatio(double&, double&);
   92      /*!
   93      \\brief set the bounding box!

/Users/sylvie/git/magics/src/common/Transformation.cc:
  144  }
  145  
  146: void Transformation::aspectRatio(double& width, double& height) {
  147      askedWidth_  = width * 40;
  148      askedHeight_ = height * 40;

/Users/sylvie/git/magics/src/common/Transformation.h:
  138      virtual bool verifyDef(const string&) const { return false; }
  139  
  140:     virtual double ratio() const { return 1; }
  141  
  142      virtual double x(double x) const { return x; }
  ...
  177      virtual void labels(const LabelPlotting&, BottomAxisVisitor&) const {}
  178  
  179:     virtual void aspectRatio(double&, double&);
  180      virtual void fill(double&, double&);  // fill the space , can adapt the coordiantes to return the biggest area..
  181      virtual void tile(double&, double&);  // fill the space , can adapt the coordiantes to return the biggest area..

/Users/sylvie/git/magics/src/decoders/GribSatelliteInterpretor.cc:
   63  int nint(double val) {
   64      double a = 0.0; /* integral  part of val */
   65:     double b = 0.0; /* frational part of val */
   66  
   67      b = modf(val, &a);
   ..
  252          xp = yp = 450;
  253      }
  254:     else if (satId == 57 && dx == 1732)  // MSG (Meteosat second generation), non-HRV channels
  255      {
  256          dx = dy = 1811;  // obtained through trial-and-error to get the best match with the coastlines

/Users/sylvie/git/magics/src/decoders/shapefil.h:
  152  
  153  /************************************************************************/
  154: /*                        Configuration options.                        */
  155  /************************************************************************/
  156  

/Users/sylvie/git/magics/src/drivers/BaseDriver.cc:
   58      currentLineStyle_(1),
   59      currentColour_(Colour("white")),
   60:     coordRatioX_(1),
   61:     coordRatioY_(1),
   62      newPage_(true),  // newLayout_(true), // external_(false),
   63      disabled_(false),
   ..
  637  
  638  */
  639: void BaseDriver::setDimensionsFromBinary(string mbg_tmpl, MFloat& ratio, int& width) const {
  640      ifstream in(mbg_tmpl.c_str());
  641      if (in.is_open()) {
  ...
  669          in.close();
  670  
  671:         ratio = ly / lx;
  672          width = maground(lx);
  673      }
  ...
  817                          double hr;
  818                          in.read((char*)(&hr), sizeof(double));
  819:                         arrow.setHeadRatio(hr);
  820                          MFloat r, g, b;
  821                          in.read((char*)(&r), sizeof(MFloat));

/Users/sylvie/git/magics/src/drivers/BaseDriver.h:
  258  
  259      virtual void redisplay(const BinaryObject&) const;
  260:     void setDimensionsFromBinary(string mbg_tmpl, MFloat& ratio, int& width) const;
  261  
  262      //! Method to redisplay a Text.
  ...
  345      }
  346  
  347:     virtual MFloat projectX(const MFloat x) const { return coordRatioX_ * x; }
  348:     virtual MFloat projectY(const MFloat y) const { return coordRatioY_ * y; }
  349  
  350      string getTmpName() const;
  ...
  361      mutable Colour currentColour_;
  362  
  363:     mutable MFloat coordRatioX_;
  364:     mutable MFloat coordRatioY_;
  365      mutable MFloat dimensionX_;
  366      mutable MFloat dimensionY_;

/Users/sylvie/git/magics/src/drivers/BaseDriverImages.h:
  225          height = obj.getHeight();
  226      }
  227:     const MFloat ow = (obj.getWidth() < 0) ? convertCM(1. / coordRatioX_) : width;
  228:     const MFloat oh = (obj.getHeight() < 0) ? convertCM(1. / coordRatioY_) : height;
  229  
  230      const ImageProperties::OriginReference ori = obj.getOriginReference();

/Users/sylvie/git/magics/src/drivers/BaseDriverSymbols.h:
  125              }
  126              else if (symbol.position() == Symbol::M_RIGHT) {
  127:                 shiftX = convertCM(symbol.getHeight() * .5) / coordRatioX_;
  128                  text.setJustification(MLEFT);
  129              }
  130              else if (symbol.position() == Symbol::M_LEFT) {
  131:                 shiftX = -convertCM(symbol.getHeight() * .5) / coordRatioX_;
  132                  text.setJustification(MRIGHT);
  133              }
  134              else if (symbol.position() == Symbol::M_BELOW) {
  135:                 shiftY = setY(-convertCM(symbol.getHeight() * .6) / coordRatioY_);
  136                  text.setVerticalAlign(MTOP);
  137              }
  138              else if (symbol.position() == Symbol::M_ABOVE) {
  139:                 shiftY = setY(convertCM(symbol.getHeight() * 0.8) / coordRatioY_);
  140                  text.setVerticalAlign(MBOTTOM);
  141              }
  ...
  153  
  154  MAGICS_NO_EXPORT void BaseDriver::renderComplexSymbols(const ComplexSymbol& symbol) const {
  155:     obs_distance_ = convertCM(symbol.getDistanceApart()) / coordRatioX_;
  156  
  157      if ((obs_distance_ > 0.) && !checkDistanceMoreThan(&symbol[0], obs_distance_)) {
  ...
  167      Text text;
  168      const MFloat scaling = convertCM(owner.getHeight() * 1.5);
  169:     const MFloat pX      = 1. / coordRatioX_;
  170:     const MFloat pY      = 1. / coordRatioY_;
  171  
  172      // cout <<">>>>>>>>>> "<<(*text.textBegin()).text()<<" -> "<<owner[0].x() <<" "<<owner[0].y()<< endl;
  ...
  198  
  199      const MFloat scaling = convertCM(owner.getHeight());
  200:     const MFloat pX      = 1. / coordRatioX_;
  201:     const MFloat pY      = 1. / coordRatioY_;
  202  
  203      const MFloat posX = owner[0].x() + (flagItem.x() * scaling * pX);
  ...
  234  
  235      const unsigned int si = sym.elements.size();
  236:     const MFloat pX       = 1. / coordRatioX_;
  237:     const MFloat pY       = 1. / coordRatioY_;
  238  
  239      MFloat scaling = convertCM(symbol.height() * 1.5);  // convertCM scales them up!
  ...
  332      setLineParameters(M_SOLID, 1.);  // reset line
  333  
  334:     const MFloat pX      = 1. / coordRatioX_;
  335:     const MFloat pY      = 1. / coordRatioY_;
  336      const MFloat scaling = convertCM(symbol.getHeight() * .5);
  337  
  ...
  472  
  473      renderSimplePolygon(line);
  474:     /*	circle(x,y,s2 * coordRatioX_,8);
  475  
  476          vector<PaperPoint> line;

/Users/sylvie/git/magics/src/drivers/BaseDriverWind.h:
   26  public:
   27      rotate() : angle_(0) {}
   28:     rotate(MFloat a, MFloat ratio = 1.) : angle_(a), ratio_(ratio) {}
   29      void operator()(PaperPoint& p) {
   30:         MFloat x = p.x() * cos(angle_) + (p.y() / ratio_) * -sin(angle_);
   31:         MFloat y = (p.x() * ratio_) * sin(angle_) + p.y() * cos(angle_);
   32          p.x(x);
   33          p.y(y);
   ..
   36  private:
   37      MFloat angle_;
   38:     MFloat ratio_;
   39  };
   40  
   ..
   66      const MFloat base    = 0.7;
   67      const MFloat sca     = (fabs(arrow.getScale()) < 0.001) ? 1. : arrow.getScale();
   68:     const MFloat scaling = convertCM(1.) / (sca * ((coordRatioX_ + coordRatioX_) * .5));
   69  
   70      const unsigned int arrPoNo = arrow.size();
   ..
   79      Arrow::const_iterator arr = arrow.begin();
   80      int index                 = arrow.getHeadIndex();
   81:     const MFloat ratio        = (coordRatioY_ == 0) ? 1. : coordRatioX_ / coordRatioY_;
   82  
   83      for (unsigned int pts = 0; pts < arrPoNo; pts++) {
   ..
   99  
  100              line.push_back(PaperPoint(xx, 0));
  101:             for_each(line.begin(), line.end(), rotate(angle, ratio));
  102              for_each(line.begin(), line.end(), translate(arr->point_));
  103              xx = (pos == M_TAIL) ? norm : 0.5 * (norm);  // reset length
  ...
  112          // Arrow head
  113          const MFloat bx = (1.0 - base) * norm;                                 // a third of the length of arrow
  114:         const MFloat by = (1.0 - base) * ratio * norm * arrow.getHeadRatio();  // 10% of the length
  115  
  116          if (index > 3 || index < 0) {
  ...
  125              line.push_back(PaperPoint(xx, 0.));
  126              line.push_back(PaperPoint(xx - bx, by));
  127:             for_each(line.begin(), line.end(), rotate(angle, ratio));
  128              for_each(line.begin(), line.end(), translate(arr->point_));
  129              renderPolyline(line);
  ...
  134              line.push_back(PaperPoint(xx - bx, by));
  135              line.push_back(PaperPoint(xx, 0.));
  136:             for_each(line.begin(), line.end(), rotate(angle, ratio));
  137              for_each(line.begin(), line.end(), translate(arr->point_));
  138  
  ...
  150      const MFloat thickness    = (flag.getThickness() == 1) ? 1 : 2. * flag.getThickness();
  151      const LineStyle style     = flag.getStyle();
  152:     const MFloat length       = convertCM(flag.getLength() / coordRatioX_);
  153      const string marker       = flag.getOriginMarker();
  154:     const MFloat markerHeight = convertCM(flag.getOriginHeight() * .5 / coordRatioX_);
  155      setNewColour(flag.getColour());
  156      const unsigned int flaPoNo = flag.size();
  ...
  164          line.push_back(PaperPoint(-markerHeight, 0.));
  165          line.push_back(PaperPoint(-length, 0.));
  166:         const MFloat ratio = (coordRatioY_ == 0) ? 1. : coordRatioX_ / coordRatioY_;
  167:         for_each(line.begin(), line.end(), rotate(angle, ratio));
  168          for_each(line.begin(), line.end(), translate(fla->point_));
  169          MFloat len = fla->norm();
  ...
  196          MFloat barbFraction     = 0.;
  197          int i                   = 0;
  198:         const MFloat lengthY    = setY(length * ratio);
  199          const MFloat barbHeight = setFlagY((flag.getHemisphere() == NORTH) ? (0.4 * lengthY) : (-0.4 * lengthY));
  200          bool fl                 = false;
  ...
  228                  line.push_back(PaperPoint(-(length - step + dx), barbHeight * barbFraction));
  229  
  230:                 for_each(line.begin(), line.end(), rotate(angle, ratio));
  231                  for_each(line.begin(), line.end(), translate(fla->point_));
  232                  renderPolyline2(line);
  ...
  237                  line.push_back(PaperPoint(-(length - step), barbHeight * barbFraction));
  238                  line.push_back(PaperPoint(-(length - step - (0.1 * length)), 0.));
  239:                 for_each(line.begin(), line.end(), rotate(angle, ratio));
  240                  for_each(line.begin(), line.end(), translate(fla->point_));
  241                  renderSimplePolygon(line);

/Users/sylvie/git/magics/src/drivers/BinaryDriver.cc:
   43  void BinaryDriver::open() {
   44      dimensionX_        = maground(width_);
   45:     const MFloat ratio = getYDeviceLength() / getXDeviceLength();
   46:     dimensionY_        = maground(ratio * dimensionX_);
   47  
   48      setCMscale(dimensionX_ / getXDeviceLength());
   ..
  135      offsetsX_.push(offsetX_);
  136      offsetsY_.push(offsetY_);
  137:     scalesX_.push(coordRatioX_);
  138:     scalesY_.push(coordRatioY_);
  139  
  140      offsetX_ += layout.x() * 0.01 * dimensionX_;
  ...
  147  
  148      if (sumX != 0 && sumY != 0) {
  149:         coordRatioX_ = dimensionX_ / sumX;
  150:         coordRatioY_ = -dimensionY_ / sumY;
  151      }
  152  
  ...
  180      offsetY_ = offsetsY_.top();
  181      offsetsY_.pop();
  182:     coordRatioX_ = scalesX_.top();
  183      scalesX_.pop();
  184:     coordRatioY_ = scalesY_.top();
  185      scalesY_.pop();
  186  }
  ...
  260      const int hi = arrow.getHeadIndex();
  261      out_.write((char*)(&hi), sizeof(int));
  262:     const double hr = arrow.getHeadRatio();
  263      out_.write((char*)(&hr), sizeof(double));
  264  

/Users/sylvie/git/magics/src/drivers/CairoDriver.cc:
   86      MagLog::info() << "Cairo version used is: " << cairo_version_string() << " backend: " << backend_ << std::endl;
   87  
   88:     MFloat ratio = getYDeviceLength() / getXDeviceLength();
   89      int width    = maground(width_);
   90  
   91      string mbg_tmpl = mgb_template_;
   92      if (!mbg_tmpl.empty()) {
   93:         setDimensionsFromBinary(mbg_tmpl, ratio, width);
   94      }
   95  
   ..
   97      dimensionXglobal_ = width;
   98      MagLog::dev() << "width -->" << width << endl;
   99:     MagLog::dev() << "ratio -->" << ratio * width << endl;
  100:     MagLog::dev() << "ratio -->" << maground(ratio * width) << endl;
  101:     MagLog::dev() << "ratio -->" << static_cast<int>(ratio * width) << endl;
  102:     dimensionYglobal_ = maground(ratio * width);
  103  
  104:     coordRatioY_ = -1;
  105  
  106      setupNewSurface();
  ...
  473      offsetsX_.push(offsetX_);
  474      offsetsY_.push(offsetY_);
  475:     scalesX_.push(coordRatioX_);
  476:     scalesY_.push(coordRatioY_);
  477  
  478      offsetX_ += layout.x() * 0.01 * dimensionX_;
  ...
  485  
  486      if (sumX != 0 && sumY != 0) {
  487:         coordRatioX_ = dimensionX_ / sumX;
  488:         coordRatioY_ = -dimensionY_ / sumY;
  489      }
  490  
  ...
  528      offsetY_ = offsetsY_.top();
  529      offsetsY_.pop();
  530:     coordRatioX_ = scalesX_.top();
  531      scalesX_.pop();
  532:     coordRatioY_ = scalesY_.top();
  533      scalesY_.pop();
  534  
  ...
 1177          int h = cairo_image_surface_get_height(image);
 1178  
 1179:         const MFloat oow = (obj.getWidth() < 0) ? 30. / coordRatioX_ : obj.getWidth();
 1180:         const MFloat ooh = (obj.getHeight() < 0) ? 30. / coordRatioY_ : obj.getHeight();
 1181          const MFloat x   = projectX(obj.getOrigin().x());
 1182          const MFloat y   = projectY(obj.getOrigin().y());
 ....
 1220      const MFloat x0  = projectX(image.getOrigin().x());
 1221      const MFloat y0  = projectY(image.getOrigin().y());
 1222:     const MFloat scX = (image.getWidth() * coordRatioX_) / width;
 1223:     const MFloat scY = (image.getHeight() * coordRatioY_) / height;
 1224      const double wid = projectX(image.getOrigin().x() + image.getWidth()) - projectX(image.getOrigin().x());
 1225      const double hei = projectY(image.getOrigin().y() + image.getHeight()) - projectY(image.getOrigin().y());
 ....
 1337              cairo_save(cr_);
 1338              cairo_translate(cr_, projectX(symbol[0].x()), projectY(symbol[0].y()) - convertCM(symbol.getHeight() * .3));
 1339:             const MFloat sizeY = -convertCM(symbol.getHeight() * .1) * coordRatioY_;
 1340              const int w        = cairo_image_surface_get_width(image);
 1341              const int h        = cairo_image_surface_get_height(image);
 1342:             const double ratio = w / h;
 1343:             const MFloat sizeX = sizeY * ratio;
 1344              cairo_scale(cr_, sizeX / w, sizeY / h);
 1345              cairo_set_source_surface(cr_, image, 0, 0);

/Users/sylvie/git/magics/src/drivers/CairoDriver.h:
  114      mutable cairo_surface_t* tmp_surface_;
  115  
  116:     MAGICS_NO_EXPORT MFloat projectX(const MFloat x) const { return offsetX_ + (x * coordRatioX_); }
  117:     MAGICS_NO_EXPORT MFloat projectY(const MFloat y) const { return offsetY_ + (y * coordRatioY_); }
  118      MAGICS_NO_EXPORT MFloat setAngleY(const MFloat y) const { return -y; }
  119      MAGICS_NO_EXPORT MFloat setSymbolY(const MFloat y) const { return -y; }

/Users/sylvie/git/magics/src/drivers/GDDriver.cc:
   87  
   88      string mbg_tmpl = mgb_template_;
   89:     MFloat ratio    = getYDeviceLength() / getXDeviceLength();
   90      int width       = width_;
   91      if (!mbg_tmpl.empty()) {
   92:         setDimensionsFromBinary(mbg_tmpl, ratio, width);
   93      }
   94      setCMscale(MFloat(width) / getXDeviceLength());
   95      scaleFactor_      = .8;
   96      dimensionXglobal_ = width;
   97:     dimensionYglobal_ = static_cast<int>(ratio * width);
   98  }
   99  
  ...
  152          dimensionY_  = static_cast<float>(dimensionYglobal_ - 1);
  153          offsetY_     = dimensionY_;
  154:         coordRatioY_ = -1;
  155      }
  156  
  ...
  292      offsetsX_.push(offsetX_);
  293      offsetsY_.push(offsetY_);
  294:     scalesX_.push(coordRatioX_);
  295:     scalesY_.push(coordRatioY_);
  296  
  297      offsetX_ += layout.x() * 0.01 * dimensionX_;
  ...
  304  
  305      if (sumX != 0 && sumY != 0) {
  306:         coordRatioX_ = dimensionX_ / sumX;
  307:         coordRatioY_ = -dimensionY_ / sumY;
  308      }
  309  
  ...
  329      offsetY_ = offsetsY_.top();
  330      offsetsY_.pop();
  331:     coordRatioX_ = scalesX_.top();
  332      scalesX_.pop();
  333:     coordRatioY_ = scalesY_.top();
  334      scalesY_.pop();
  335  }

/Users/sylvie/git/magics/src/drivers/GDDriver.h:
   95      MAGICS_NO_EXPORT void renderMagLogo(MFloat x, MFloat y) const;
   96      MAGICS_NO_EXPORT void renderSymbols(const Symbol& symbol) const;
   97:     MAGICS_NO_EXPORT MFloat projectX(const MFloat x) const { return offsetX_ + (x * coordRatioX_); }
   98:     MAGICS_NO_EXPORT MFloat projectY(const MFloat y) const { return offsetY_ + (y * coordRatioY_); }
   99  
  100      mutable ofstream xmlFile_;

/Users/sylvie/git/magics/src/drivers/GeoJsonDriver.cc:
  138              void* buf    = (void*)malloc(size_buf);
  139              if (buf == 0) {
  140:                 MagLog::error() << "Error allocating memory for GeoJson ZIP generation!" << std::endl;
  141                  return;
  142              }

/Users/sylvie/git/magics/src/drivers/KMLDriver.cc:
  201              void* buf    = (void*)malloc(size_buf);
  202              if (buf == 0) {
  203:                 MagLog::error() << "Error allocating memory for KMZ generation!" << std::endl;
  204                  return;
  205              }
  ...
 1162       *	const MFloat thickness = (flag.getThickness()==1) ? 1 : 2.*flag.getThickness();
 1163          const LineStyle style = flag.getStyle();
 1164:         const MFloat length = convertCM(flag.getLength() / coordRatioX_ );
 1165          const string marker = flag.getOriginMarker();
 1166:         const MFloat markerHeight = convertCM(flag.getOriginHeight() *.5 / coordRatioX_);
 1167      */
 1168      setNewColour(flag.getColour());
 ....
 1184  		line.push_back(PaperPoint(-markerHeight,0.) );
 1185  		line.push_back(PaperPoint(-length,0.) );
 1186: 		const MFloat ratio = (coordRatioY_==0) ? 1. : coordRatioX_/coordRatioY_;
 1187: 		for_each(line.begin(),line.end(),rotate(angle,ratio) );
 1188  		for_each(line.begin(),line.end(),translate(fla->point_) );
 1189  		MFloat len = fla->norm();
 ....
 1216  		MFloat tmp = 0.;
 1217  		int i = 0;
 1218: 		const MFloat lengthY = setY(length * ratio);
 1219  		const MFloat multi =  setFlagY((flag.getHemisphere()==NORTH) ? (0.2*lengthY) : (-0.2*lengthY));
 1220  		bool fl=false;
 ....
 1236  				line.push_back(PaperPoint( -(length-step+dx),multi*tmp) );
 1237  
 1238: 				for_each(line.begin(),line.end(),rotate(angle,ratio) );
 1239  				for_each(line.begin(),line.end(),translate(fla->point_) );
 1240  				renderPolyline2(line);
 ....
 1246  				line.push_back(PaperPoint( -(length-step),multi*tmp) );
 1247  				line.push_back(PaperPoint( -(length-step-(0.1*length)),0.) );
 1248: 				for_each(line.begin(),line.end(),rotate(angle,ratio) );
 1249  				for_each(line.begin(),line.end(),translate(fla->point_) );
 1250  				renderSimplePolygon(line);

/Users/sylvie/git/magics/src/drivers/PostScriptDriver.cc:
  160  
  161      currentPage_ = 0;  // reset values for new pages ...
  162:     coordRatioX_ = 1.;
  163:     coordRatioY_ = 1.;
  164  }
  165  
  ...
  176  
  177      MFloat resolution = 300.;  // work with 300 DPI
  178:     MFloat ratio      = 1.;
  179      int width         = 0;
  180      string mbg_tmpl   = mgb_template_;
  181  
  182      if (!mbg_tmpl.empty()) {
  183:         setDimensionsFromBinary(mbg_tmpl, ratio, width);
  184          setCMscale(35.);
  185          resolution  = 80.;  // dpi for web
  186          dimensionX_ = width;
  187:         dimensionY_ = maground(dimensionX_ * ratio);
  188      }
  189  
  ...
  247      dimensionStack_.push(dimensionX_);
  248      dimensionStack_.push(dimensionY_);
  249:     scalesX_.push(coordRatioX_);
  250:     scalesY_.push(coordRatioY_);
  251  
  252      MFloat offsetX_ = (layout.x() * 0.01 * dimensionX_);
  ...
  259  
  260      if (sumX != 0 && sumY != 0) {
  261:         coordRatioX_ = (dimensionX_ / sumX);
  262:         coordRatioY_ = (dimensionY_ / sumY);
  263      }
  264  
  ...
  288      dimensionX_ = dimensionStack_.top();
  289      dimensionStack_.pop();
  290:     coordRatioX_ = scalesX_.top();
  291      scalesX_.pop();
  292:     coordRatioY_ = scalesY_.top();
  293      scalesY_.pop();
  294  
  ...
 1467      string orientation = (getXDeviceLength() < getYDeviceLength()) ? "Portrait" : "Landscape";
 1468  
 1469:     MFloat ratio    = 1.;
 1470      int width       = 0;
 1471      string mbg_tmpl = mgb_template_;
 1472  
 1473      if (!mbg_tmpl.empty()) {
 1474:         setDimensionsFromBinary(mbg_tmpl, ratio, width);
 1475          dimensionX  = width;
 1476:         dimensionY  = maground(width * ratio);
 1477          orientation = (dimensionX < dimensionY) ? "Portrait" : "Landscape";
 1478      }

/Users/sylvie/git/magics/src/drivers/QtDriver.cc:
  125      // the env var METVIEW_SCREEN_RESOLUTION on the metview side.
  126  
  127:     // So we need to compute their ratio to correctly set font size for rendering!
  128  #ifdef MAGICS_QT5
  129      QList<QScreen*> scList    = QGuiApplication::screens();
  ...
  135  #endif
  136  
  137:     // By default the ratio between the physical pixel size according to the external definition and Qt is 1
  138:     dpiResolutionRatio_ = 1.;
  139  
  140      // If we have the physical pixel size from an external definition
  141      if (scene->dpiResolution() != -1) {
  142:         // We compute the correct ratio
  143:         dpiResolutionRatio_ = static_cast<float>(qtDpiResolution) / static_cast<float>(scene->dpiResolution());
  144      }
  145:     // Otherwise we suppose it is the same as given by Qt (thus their ratio will be 1)
  146      else {
  147          scene->setDpiResolution(qtDpiResolution);
  ...
  168      // Scaling factors have to be stored for
  169      // symbol plotting and for rotations in an unscaled co-ordinate system
  170:     coordRatioX_ = 1.;
  171:     coordRatioY_ = 1;
  172  
  173      // The driver will regard pngs as transparent images
  ...
  406  
  407      // Set the scaling factor
  408:     // projectX and, projectY depend on coordRatio[X,Y]_ !!!
  409      const MFloat xx = width / rangeX;
  410      const MFloat yy = height / rangeY;
  411  
  412:     scalesX_.push(coordRatioX_);
  413:     scalesY_.push(coordRatioY_);
  414:     coordRatioX_ = xx;
  415:     coordRatioY_ = yy;
  416  
  417:     item->coordRatioX(coordRatioX_);
  418:     item->coordRatioY(coordRatioY_);
  419  
  420      // Translate the origo
  ...
  490      }
  491  
  492:     coordRatioX_ = scalesX_.top();
  493:     coordRatioY_ = scalesY_.top();
  494      scalesX_.pop();
  495      scalesY_.pop();
  ...
 1108  
 1109              pheight = 72. * magfont.size() / 2.54;  // height in points
 1110:             pheight /= dpiResolutionRatio_;
 1111              pheight *= fontSizeFactor_;
 1112  
 ....
 1206  
 1207                  pheight = 72. * magfont.size() / 2.54;  // height in points
 1208:                 pheight /= dpiResolutionRatio_;
 1209                  pheight *= fontSizeFactor_;
 1210  
 ....
 1245  
 1246                  pheight = 72. * magfont.size() / 2.54;  // height in points
 1247:                 pheight /= dpiResolutionRatio_;
 1248                  pheight *= fontSizeFactor_;
 1249  
 ....
 1699  
 1700  void QtDriver::generateSymbolPath(MgQSymbolItem* qSym, svgSymbol sym) const {
 1701:     // setCoordRatio(1.,1.);
 1702  
 1703      // Symbol size in pixels!!!
 ....
 1707  
 1708      // setNewLineWidth(1.);
 1709:     // const MFloat pX = 1. / coordRatioX_;
 1710:     // const MFloat pY = 1. / coordRatioY_;
 1711  
 1712      const MFloat scaling = symbolSize * 0.5;  /// convertCM(1.);
 ....
 1777      // qSym->setPath(path);
 1778  
 1779:     // resetCoordRatio();
 1780  }
 1781  
 ....
 2094      dimensionY_ = layoutItem->dimensionY();
 2095  
 2096:     scalesX_.push(coordRatioX_);
 2097:     scalesY_.push(coordRatioY_);
 2098:     coordRatioX_ = layoutItem->coordRatioX();
 2099:     coordRatioY_ = layoutItem->coordRatioY();
 2100  
 2101      magnifierZoomFactor_         = layoutItem->zoomFactor();
 ....
 2124      dimensionStack_.pop();
 2125  
 2126:     coordRatioX_ = scalesX_.top();
 2127:     coordRatioY_ = scalesY_.top();
 2128      scalesX_.pop();
 2129      scalesY_.pop();
 ....
 2142      dimensionY_ = 100;
 2143  
 2144:     scalesX_.push(coordRatioX_);
 2145:     scalesY_.push(coordRatioY_);
 2146:     // coordRatioX_ = layoutItem->coordRatioX();
 2147:     // coordRatioY_ = layoutItem->coordRatioY();
 2148:     coordRatioX_ = 1;
 2149:     coordRatioY_ = 1;
 2150  
 2151      // magnifierIsBeingRedisplayed_=true;
 ....
 2165      dimensionStack_.pop();
 2166  
 2167:     coordRatioX_ = scalesX_.top();
 2168:     coordRatioY_ = scalesY_.top();
 2169      scalesX_.pop();
 2170      scalesY_.pop();

/Users/sylvie/git/magics/src/drivers/QtDriver.h:
  196      MFloat lineWidthFactor_;
  197      MFloat fontSizeFactor_;
  198:     MFloat dpiResolutionRatio_;
  199  };
  200  

/Users/sylvie/git/magics/src/drivers/SVGDriver.cc:
   80  MAGICS_NO_EXPORT void SVGDriver::startPage() const {
   81      debugOutput("Page - START");
   82:     MFloat ratio = getRatio();
   83      int wid      = width_;
   84  
   85      string mbg_tmpl = mgb_template_;
   86      if (!mbg_tmpl.empty()) {
   87:         setDimensionsFromBinary(mbg_tmpl, ratio, wid);
   88      }
   89  
   90      dimensionX_      = wid;
   91:     dimensionY_      = dimensionX_ * ratio;
   92      const int height = static_cast<int>(dimensionY_);
   93      const int width  = static_cast<int>(dimensionX_);
   ..
  196      dimensionStack_.push(dimensionY_);
  197      const MFloat oldHeight = dimensionY_;
  198:     scalesX_.push(coordRatioX_);
  199:     scalesY_.push(coordRatioY_);
  200  
  201      const MFloat Xoff = layout.x() * 0.01 * dimensionX_;
  ...
  208  
  209      if (sumX != 0 && sumY != 0) {
  210:         coordRatioX_ = dimensionX_ / sumX;
  211:         coordRatioY_ = dimensionY_ / sumY;
  212      }
  213  
  ...
  252      dimensionX_ = dimensionStack_.top();
  253      dimensionStack_.pop();
  254:     coordRatioX_ = scalesX_.top();
  255      scalesX_.pop();
  256:     coordRatioY_ = scalesY_.top();
  257      scalesY_.pop();
  258  

/Users/sylvie/git/magics/src/drivers/SVGDriver.h:
   99      MAGICS_NO_EXPORT MFloat setAngleY(const MFloat y) const { return y; }
  100      MAGICS_NO_EXPORT MFloat setFlagY(const MFloat y) const { return -y; }
  101:     MAGICS_NO_EXPORT double getRatio() const { return getYDeviceLength() / getXDeviceLength(); }
  102  
  103      MAGICS_NO_EXPORT void openGroup(string g) const;

/Users/sylvie/git/magics/src/drivers/MgQ/MgQLayerItem.cc:
  511          item->setVisible(false);
  512  
  513:         /*float ratio=1;
  514          QRectF scr=histoScene_->sceneRect();
  515          if(scr.height() > 0)
  516:             ratio=scr.width()/scr.height();
  517  
  518:         QImage img=histoDevice_->copy(0,0,size.width(),size.width()/ratio+1).mirrored(false,true);*/
  519          QImage img = histoDevice_->copy(0, 0, size.width(), size.height()).mirrored(false, true);
  520  

/Users/sylvie/git/magics/src/drivers/MgQ/MgQLayoutItem.cc:
   31  MgQLayoutItem::MgQLayoutItem(const MgQLayoutItem& ori) :
   32      layout_(ori.layout_),
   33:     coordRatioX_(ori.coordRatioX_),
   34:     coordRatioY_(ori.coordRatioY_),
   35      dimensionX_(ori.dimensionX_),
   36      dimensionY_(ori.dimensionY_),
   ..
   48  void MgQLayoutItem::mapFromSceneToProjectionCoords(QPointF& scenePoint, QPointF& projPoint) {
   49      QPointF ppLocal = mapFromScene(scenePoint);
   50:     projPoint       = QPointF(ppLocal.x() / coordRatioX_, ppLocal.y() / coordRatioY_);
   51  }
   52  
   ..
   56  
   57      QPointF ppLocal = mapFromScene(scenePoint);
   58:     PaperPoint ppLayout(ppLocal.x() / coordRatioX_, ppLocal.y() / coordRatioY_);
   59  
   60      UserPoint gp;
   ..
   69  
   70      QPointF lll = mapFromScene(ll);
   71:     PaperPoint llp(lll.x() / coordRatioX_, lll.y() / coordRatioY_);
   72      UserPoint llu;
   73      transformation.revert(llp, llu);
   74  
   75      QPointF url = mapFromScene(ur);
   76:     PaperPoint urp(url.x() / coordRatioX_, url.y() / coordRatioY_);
   77      UserPoint uru;
   78      transformation.revert(urp, uru);
   ..
   86  
   87      QPointF pp = mapFromScene(rect.bottomLeft());
   88:     PaperPoint pp_ll(pp.x() / coordRatioX_, pp.y() / coordRatioY_);
   89  
   90      pp = mapFromScene(rect.topRight());
   91:     PaperPoint pp_ur(pp.x() / coordRatioX_, pp.y() / coordRatioY_);
   92  
   93      UserPoint ll, ur;
   ..
  106      PaperPoint ppLayout = transformation(gp);
  107  
  108:     QPointF ppLocal(ppLayout.x() * coordRatioX_, ppLayout.y() * coordRatioY_);
  109  
  110      scenePoint = mapToScene(ppLocal);
  ...
  124      PaperPoint ppLayout = transformation(gp);
  125  
  126:     QPointF ppLocal(ppLayout.x() * coordRatioX_, ppLayout.y() * coordRatioY_);
  127  
  128      // contains() gave false for points on the border of the bounding rect!!

/Users/sylvie/git/magics/src/drivers/MgQ/MgQLayoutItem.h:
   50      bool clipped() const { return clipped_; }
   51  
   52:     void coordRatioX(double f) { coordRatioX_ = f; };
   53:     void coordRatioY(double f) { coordRatioY_ = f; };
   54:     double coordRatioX() { return coordRatioX_; };
   55:     double coordRatioY() { return coordRatioY_; };
   56  
   57      void dimensionX(double f) { dimensionX_ = f; };
   ..
   89      const Layout& layout_;
   90  
   91:     double coordRatioX_;
   92:     double coordRatioY_;
   93  
   94      double dimensionX_;

/Users/sylvie/git/magics/src/drivers/MgQ/MgQPlotScene.cc:
  322      painterTransform *= QTransform()
  323                              .translate(targetRect.left(), targetRect.top())
  324:                             //.scale(xratio, yratio)
  325                              .translate(-sourceRect.left(), -sourceRect.top());
  326      painter->setWorldTransform(painterTransform, true);

/Users/sylvie/git/magics/src/drivers/MgQ/MgQScene.cc:
   75      painter->save();
   76  
   77:     // Find the scaling ratio
   78:     float xRatio = targetRect.width() / sourceRect.width();
   79:     float yRatio = targetRect.height() / sourceRect.height();
   80  
   81:     // Keep aspect ratio
   82:     xRatio = (xRatio < yRatio) ? xRatio : yRatio;
   83:     yRatio = xRatio;
   84  
   85      // qDebug() << "CLIPPING " << sourceRect << targetRect;
   ..
   92      painterTransform *= QTransform()
   93                              .translate(targetRect.left(), targetRect.top())
   94:                             .scale(xRatio, yRatio)
   95                              .translate(-sourceRect.left(), -sourceRect.top());
   96      painter->setWorldTransform(painterTransform, true);

/Users/sylvie/git/magics/src/drivers/MgQ/MgQSceneItem.cc:
  714      	painterTransform *= QTransform()
  715                          .translate(targetRect.left(), targetRect.top())
  716:                         //.scale(xratio, yratio)
  717                          .translate(-sourceRect.left(), -sourceRect.top());
  718      	painter->setWorldTransform(painterTransform, true);

/Users/sylvie/git/magics/src/eckit_readers/MvBufrElementTable.cc:
  137      map[1006]  = "aircraftFlightNumber";
  138      map[1007]  = "satelliteIdentifier";
  139:     map[1008]  = "aircraftRegistrationNumberOrOtherIdentification";
  140      map[1009]  = "commercialAircraftType";
  141      map[1010]  = "stationaryBuoyPlatformIdentifierEGCManBuoys";
  ...
  218      map[2002]  = "instrumentationForWindMeasurement";
  219      map[2003]  = "measuringEquipmentType";
  220:     map[2004]  = "typeOfInstrumentationForEvaporationMeasurement";
  221      map[2005]  = "temperatureObservationPrecision";
  222      map[2007]  = "sensorForWaterLevelMeasuringInstrumentType";
  ...
  226      map[2014]  = "trackingTechniqueOrStatusOfSystem";
  227      map[2015]  = "radiosondeCompleteness";
  228:     map[2016]  = "radiosondeConfiguration";
  229      map[2017]  = "correctionAlgorithmsForHumidityMeasurements";
  230      map[2019]  = "satelliteInstruments";
  ...
  240      map[2029]  = "segmentSizeAtNadirInYDirection";
  241      map[2030]  = "methodOfCurrentMeasurement";
  242:     map[2031]  = "durationAndTimeOfCurrentMeasurement";
  243      map[2032]  = "indicatorForDigitization";
  244      map[2033]  = "methodOfSalinityOrDepthMeasurement";
  ...
  311      map[2117]  = "percentageOf80MhzBandProcessed";
  312      map[2118]  = "percentageOf20MhzBandProcessed";
  313:     map[2119]  = "ra2InstrumentOperations";
  314      map[2120]  = "oceanWaveFrequency";
  315      map[2121]  = "meanFrequency";
  ...
  329      map[2135]  = "antennaElevation";
  330      map[2136]  = "rangeProcessedByRangeAttenuationCorrection";
  331:     map[2137]  = "radarDualPrfRatio";
  332      map[2138]  = "antennaRotationDirection";
  333:     map[2139]  = "siralInstrumentConfiguration";
  334      map[2140]  = "satelliteRadarBeamAzimuthAngle";
  335      map[2141]  = "measurementType";
  ...
  375      map[2183]  = "cloudDetectionSystem";
  376      map[2184]  = "lightningDetectionSensorType";
  377:     map[2185]  = "methodOfEvaporationMeasurement";
  378      map[2186]  = "capabilityToDetectPrecipitationPhenomena";
  379      map[2187]  = "capabilityToDetectOtherWeatherPhenomena";
  380:     map[2188]  = "capabilityToDetectObscuration";
  381      map[2189]  = "capabilityToDiscriminateLightningStrikes";
  382      map[2190]  = "lagrangianDrifterSubmergenceTimeSubmerged";
  ...
  400      map[3021]  = "hygrometerHeating";
  401      map[3022]  = "instrumentOwner";
  402:     map[3023]  = "configurationOfLouversForThermometerOrHygrometerScreen";
  403      map[3024]  = "psychrometricCoefficient";
  404      map[3025]  = "crossTrackEstimationAreaSize";
  ...
  424      map[4025]  = "timePeriod";
  425      map[4026]  = "timePeriod";
  426:     map[4031]  = "durationOfTimeRelatingToFollowingValue";
  427:     map[4032]  = "durationOfTimeRelatingToFollowingValue";
  428      map[4041]  = "timeDifferenceUtcLmt";
  429      map[4043]  = "dayOfYear";
  ...
  551      map[8030]  = "manualOnCodesVolumeI1SectionCCodeTableFromWhichDataAreDerived";
  552      map[8031]  = "dataCategoryCrexTableA";
  553:     map[8032]  = "statusOfOperation";
  554      map[8033]  = "methodOfDerivationOfPercentageConfidence";
  555      map[8034]  = "temperatureOrSalinityMeasurementQualifier";
  ...
  664      map[11033] = "heightOfTopOfTurbulence";
  665      map[11034] = "verticalGustVelocity";
  666:     map[11035] = "verticalGustAcceleration";
  667      map[11036] = "maximumDerivedEquivalentVerticalGustSpeed";
  668      map[11037] = "turbulenceIndex";
  ...
  801      map[12189] = "interpolated365GhzBrightnessTFromMwr";
  802      map[13001] = "specificHumidity";
  803:     map[13002] = "mixingRatio";
  804      map[13003] = "relativeHumidity";
  805      map[13004] = "vapourPressure";
  ...
  820      map[13022] = "totalPrecipitationPast12Hours";
  821      map[13023] = "totalPrecipitationPast24Hours";
  822:     map[13031] = "evapotranspiration";
  823:     map[13032] = "evaporation";
  824:     map[13033] = "evaporation";
  825      map[13038] = "superadiabaticIndicator";
  826      map[13039] = "terrainTypeIceOrSnow";
  ...
  862      map[13100] = "log10OfIntegratedCloudParticleArea";
  863      map[13101] = "log10OfIntegratedCloudParticleVolume";
  864:     map[13110] = "massMixingRatio";
  865      map[13111] = "soilMoisture";
  866:     map[13112] = "objectWetnessDuration";
  867      map[13114] = "rateOfIceAccretion";
  868      map[13115] = "iceThickness";
  ...
  922      map[15004] = "ozoneSoundingCorrectionFactor";
  923      map[15005] = "ozoneP";
  924:     map[15008] = "significandOfVolumetricMixingRatio";
  925      map[15011] = "log10IntegratedElectronDensity";
  926      map[15012] = "totalElectronCountPerSquareMetre";
  ...
  931      map[15025] = "pollutantType";
  932      map[15026] = "moleFractionOfPollutant";
  933:     map[15027] = "massConcentrationOfPollutant";
  934      map[15028] = "moleFractionOfAtmosphericConstituentOrPollutantInDryAir";
  935      map[15029] = "extinctionCoefficient";
  ...
  951      map[15053] = "log10OfNumberDensityOfAerosolParticlesWithDiameterGreaterThan14Nm";
  952      map[15054] = "log10OfNumberDensityOfAerosolParticlesWithDiameterBetween0p25And2p5";
  953:     map[15055] = "nonVolatileAerosolRatio";
  954      map[15062] = "aerosolOpticalThickness";
  955      map[19001] = "synopticFeatureType";
  ...
 1007      map[20023] = "otherWeatherPhenomena";
 1008      map[20024] = "intensityOfPhenomena";
 1009:     map[20025] = "obscuration";
 1010:     map[20026] = "characterOfObscuration";
 1011      map[20027] = "phenomenaOccurrence";
 1012      map[20028] = "expectedChangeInIntensity";
 ....
 1015      map[20032] = "rateOfIceAccretionEstimated";
 1016      map[20033] = "causeOfIceAccretion";
 1017:     map[20034] = "seaIceConcentration";
 1018      map[20035] = "amountAndTypeOfIce";
 1019      map[20036] = "iceSituation";
 ....
 1064      map[20103] = "stageOfDevelopmentOfLocusts";
 1065      map[20104] = "organizationStateOfSwarm";
 1066:     map[20105] = "sizeOfSwarmOrBandOfLocustsAndDurationOfPassageOfSwarm";
 1067      map[20106] = "locustPopulationDensity";
 1068      map[20107] = "directionOfMovementsOfLocustSwarm";
 ....
 1085      map[20128] = "lightningDirectionFromStation";
 1086      map[20129] = "lightningDensityStrokeFlashOrEvent";
 1087:     map[20130] = "cloudHydrometeorConcentration";
 1088      map[20131] = "effectiveRadiusOfCloudHydrometeors";
 1089      map[20132] = "cloudLiquidWaterContent";
 ....
 1097      map[21003] = "differentialReflectivity";
 1098      map[21004] = "differentialReflectivity";
 1099:     map[21005] = "linearDepolarizationRatio";
 1100:     map[21006] = "circularDepolarizationRatio";
 1101      map[21011] = "dopplerMeanVelocityXDirection";
 1102      map[21012] = "dopplerMeanVelocityYDirection";
 ....
 1113      map[21028] = "differentialPhase";
 1114      map[21029] = "crossPolarizationCorrelationCoefficient";
 1115:     map[21030] = "signalToNoiseRatio";
 1116      map[21031] = "verticallyIntegratedLiquidWaterContent";
 1117      map[21036] = "radarRainfallIntensity";
 ....
 1128      map[21070] = "sstProductConfidenceDataSadist2";
 1129      map[21071] = "peakiness";
 1130:     map[21072] = "satelliteAltimeterCalibrationStatus";
 1131      map[21073] = "satelliteAltimeterInstrumentMode";
 1132      map[21075] = "imageSpectrumIntensity";
 ....
 1135      map[21078] = "altitudeCorrectionDryTroposphere";
 1136      map[21079] = "altitudeCorrectionWetTroposphere";
 1137:     map[21080] = "altitudeCorrectionCalibrationConstant";
 1138      map[21081] = "openLoopCorrectionHeightTimeLoop";
 1139      map[21082] = "openLoopCorrectionAutoGainControl";
 1140:     map[21083] = "warmTargetCalibration";
 1141:     map[21084] = "coldTargetCalibration";
 1142      map[21085] = "atsrSeaSurfaceTemperatureAcrossTrackBandNumber";
 1143      map[21086] = "numberOfPixelsInNadirOnlyAverage";
 ....
 1277      map[22076] = "directionFromWhichDominantWavesAreComing";
 1278      map[22077] = "directionalSpreadOfDominantWave";
 1279:     map[22078] = "durationOfWaveRecord";
 1280      map[22079] = "lengthOfWaveRecord";
 1281      map[22080] = "wavebandCentralFrequency";
 ....
 1284      map[22083] = "maximumNonDirectionalSpectralWaveNumber";
 1285      map[22084] = "bandContainingMaximumNonDirectionalSpectralWaveDensity";
 1286:     map[22085] = "spectralWaveDensityRatio";
 1287      map[22086] = "meanDirectionFromWhichWavesAreComing";
 1288      map[22087] = "principalDirectionFromWhichWavesAreComing";
 ....
 1307      map[22106] = "scaledDirectionalSpectralWaveDensityByFrequency";
 1308      map[22107] = "scaledDirectionalSpectralWaveDensityByWavenumber";
 1309:     map[22108] = "spectralWaveDensityRatio";
 1310      map[22120] = "tideStationAutomatedWaterLevelCheck";
 1311      map[22121] = "tideStationManualWaterLevelCheck";
 ....
 1397      map[24013] = "gammaDoseInAirAlongMainTransportPathDefinedLocationAndTimePeriod";
 1398      map[24014] = "gammaRadiationDoseRate";
 1399:     map[24021] = "airConcentrationOfNamedIsotopeTypeIncludingGrossBeta";
 1400:     map[24022] = "concentrationInPrecipitationOfNamedIsotopeType";
 1401      map[24023] = "pulseRateOfBetaRadiation";
 1402      map[24024] = "pulseRateOfGammaRadiation";
 ....
 1405      map[25003] = "numberOfIntegratedPulses";
 1406      map[25004] = "echoProcessing";
 1407:     map[25005] = "echoIntegration";
 1408      map[25006] = "zToRConversion";
 1409      map[25007] = "zToRConversionFactor";
 1410      map[25008] = "zToRConversionExponent";
 1411:     map[25009] = "calibrationMethod";
 1412      map[25010] = "clutterTreatment";
 1413      map[25011] = "groundOccultationCorrectionScreening";
 ....
 1428      map[25026] = "batteryVoltageLargeRange";
 1429      map[25028] = "operatorOrManufacturerDefinedParameter";
 1430:     map[25029] = "calibrationMethod";
 1431      map[25030] = "runningMeanSeaSurfaceTemperatureUsage";
 1432      map[25031] = "nwpGeneratedVerticalProfileThinningMethod";
 ....
 1501      map[25120] = "ra2L2ProcessingFlag";
 1502      map[25121] = "ra2L2ProcessingQuality";
 1503:     map[25122] = "hardwareConfigurationForRf";
 1504:     map[25123] = "hardwareConfigurationForHpa";
 1505      map[25124] = "mwrL2ProcessingFlag";
 1506      map[25125] = "mwrL2ProcessingQuality";
 ....
 1517      map[25136] = "ionosphericCorrectionFromModelOnSBand";
 1518      map[25137] = "seaStateBiasCorrectionOnSBand";
 1519:     map[25138] = "averageSignalToNoiseRatio";
 1520      map[25140] = "startChannel";
 1521      map[25141] = "endChannel";
 ....
 1550      map[26003] = "timeDifference";
 1551      map[26010] = "hoursIncluded";
 1552:     map[26020] = "durationOfPrecipitation";
 1553      map[26021] = "nonCoordinateYear";
 1554      map[26022] = "nonCoordinateMonth";
 1555      map[26023] = "nonCoordinateDay";
 1556:     map[26030] = "measurementIntegrationTime";
 1557      map[27001] = "nonCoordinateLatitude";
 1558      map[27002] = "nonCoordinateLatitude";
 ....
 1637      map[33072] = "ozoneError";
 1638      map[33075] = "scanLevelQualityFlags";
 1639:     map[33076] = "calibrationQualityFlags";
 1640      map[33077] = "fieldOfViewQualityFlags";
 1641      map[33078] = "geolocationQuality";
 ....
 1650      map[33087] = "extentOfSatelliteWithinSouthAtlanticAnomalyBasedOnClimatologicalData";
 1651      map[33088] = "ozoneTotalColumnQualityFlag";
 1652:     map[33089] = "noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration";
 1653:     map[33090] = "nedtQualityIndicatorsForColdTargetCalibration";
 1654:     map[33091] = "nedtQualityIndicatorsForOverallCalibration";
 1655      map[35000] = "fmAndRegionalCodeNumber";
 1656      map[35001] = "timeFrameForMonitoring";
 ....
 1694      map[40027] = "sunGlintAngle";
 1695      map[40028] = "gmiQualityFlag";
 1696:     map[40029] = "horizontalObservationIntegrationLength";
 1697      map[40030] = "horizontalLineOfSightWind";
 1698      map[40031] = "errorEstimateOfHorizontalLineOfSightWind";
 1699      map[40032] = "derivativeWindToPressure";
 1700      map[40033] = "derivativeWindToTemperature";
 1701:     map[40034] = "derivativeWindToBackscatterRatio";
 1702      map[40035] = "satelliteRange";
 1703      map[40036] = "lidarL2bClassificationType";
 1704:     map[40037] = "backscatterRatio";
 1705      map[40039] = "singleLookComplexImageIntensity";
 1706      map[40040] = "singleLookComplexImageSkewness";

/Users/sylvie/git/magics/src/eckit_readers/MvBufrObs.h:
  498       *  - Aircraft flight number (001006) \n
  499       *  - Satellite identifier (001007) \n
  500:      *  - Aircraft registration number (001008) \n
  501       *  - Stationary buoy platform identifier (001010) \n
  502       *  - Storm identifier (001025)

/Users/sylvie/git/magics/src/eckit_readers/MvObs.cc:
 1025      {
 1026          _currentDescrInd = -1;  //-- end-of-msg reached
 1027:         _currentDescr    = 0;   //-- probably end-of-iteration => issue no msg
 1028          return false;
 1029      }
 ....
 3770          aStream << std::endl;
 3771  
 3772:         // Evaluate next iteration
 3773          setNextDescriptor();
 3774          index++;
 ....
 3919          "aircraftFlightNumber",                             // 1006
 3920          "satelliteIdentifier",                              // 1007
 3921:         "aircraftRegistrationNumberOrOtherIdentification",  // 1008
 3922          "stationaryBuoyPlatformIdentifierEGCManBuoys",      // 1010
 3923          "stormIdentifier",                                  // 1025
 ....
 3968        1006L,    //-- Aircraft flight number
 3969        1007L,    //-- Satellite identifier
 3970:       1008L,    //-- Aircraft registration number
 3971        1010L,    //-- Stationary buoy platform identifier
 3972        1025L,    //-- Storm identifier

/Users/sylvie/git/magics/src/terralib/kernel/TeDataTypes.h:
   64  
   65  //! Geometrical representations
   66: /*! Uses a binary ennumeration since the same layer
   67      may contain more than one geometrical representation
   68  */

/Users/sylvie/git/magics/src/terralib/kernel/TeDefines.h:
   96  const double TeMAXFLOAT    = 3.4E37;                   //!< Maximum float value
   97  const double TeMINFLOAT    = 3.4E-37;                  //!< Minimum float value
   98: const double TePI          = 3.14159265358979323846;   //!< The ratio of the circumference to the diameter of a circle
   99  const double TeCDR         = 0.01745329251994329576;   //!< Conversion factor: degrees to radians
  100  const double TeCRD         = 57.29577951308232087679;  //!< Conversion factor: radians to degrees
  ...
  177  /** @} */                   // end Inte
  178  
  179: /** @defgroup TopOper Topological operations
  180      @{
  181   */
  182: #define TeDIFFERENCE 1    //!< Difference operation
  183: #define TeUNION 2         //!< Union operation
  184: #define TeINTERSECTION 4  //!< Intersection operation
  185  /** @} */                 // end TopOper
  186  /** @} */                 // end TopDefines

/Users/sylvie/git/magics/src/terralib/kernel/TeUtils.h:
  107  //! Compares two strings
  108  /*
  109:     \params caseS flag indicating if it is a case sensitive comparation
  110  */
  111  TL_DLL bool TeStringCompare(const string& str1, const string& str2, bool caseS = false);

/Users/sylvie/git/magics/src/visualisers/Akima474.cc:
  161      //       RESPECT TO X AND Y
  162  
  163:     // DECLARATION STATEMENTS
  164      double a, b, c, d, e;
  165      double Z33;

/Users/sylvie/git/magics/src/visualisers/Akima761.cc:
  691   *
  692   * The constants in the PARAMETER statement below are
  693:  *   HBRMN = minimum value of the height-to-bottom ratio of a
  694   *           triangle along the borde line of the data area,
  695   *   NRRTT = number of repetitions in thin triangle removal.
  ...
  759              IT  = ITL_[IL];
  760  
  761:             // Calculates the height-to-bottom ratio of the triangle
  762              if (IPT_[0][IT] != IP1 && IPT_[0][IT] != IP2)
  763                  IP3 = IPT_[0][IT];
  ...
 1420   *
 1421   * The constant in the first PARAMETER statement below is
 1422:  *   CNRMX = maximum value of the ratio of the condition
 1423   *           number of the matrix associated with the point
 1424   *           set to the number of points.

/Users/sylvie/git/magics/src/visualisers/ArrowPlotting.cc:
   44      //// RV Ajout support fleches a taille fixe ////
   45      if (fixed_velocity_ > 0 && !(zero(fixed_velocity_)) && !(zero(speed))) {
   46:         double ratio = fixed_velocity_ / speed;
   47:         x *= ratio;
   48:         y *= ratio;
   49      }
   50      //// RV ////
   ..
   70      south->setArrowPosition(this->origin_position_);
   71      south->setHeadIndex(this->head_);
   72:     south->setHeadRatio(this->ratio_);
   73      southArrows_.insert(make_pair(colour, south));
   74      return south;
   ..
   90      north->setArrowPosition(this->origin_position_);
   91      north->setHeadIndex(this->head_);
   92:     north->setHeadRatio(this->ratio_);
   93      northArrows_.insert(make_pair(colour, north));
   94      return north;
   ..
  182      arrow->setArrowPosition(this->origin_position_);
  183      arrow->setHeadIndex(this->head_);
  184:     arrow->setHeadRatio(this->ratio_);
  185  
  186      if (legend_text_.empty() || legend_text_ == "vector") {

/Users/sylvie/git/magics/src/visualisers/EmagramGrid.cc:
  258      }
  259  
  260:     // Humidity Mixing ratio Lines - up to 200 hPa
  261:     if (mixing_ratio_) {
  262:         vector<float> ratios;  // in g/kg
  263:         ratios.push_back(0.1);
  264:         ratios.push_back(0.2);
  265:         ratios.push_back(0.4);
  266:         ratios.push_back(0.7);
  267:         ratios.push_back(1.);
  268:         ratios.push_back(1.5);
  269:         ratios.push_back(2.);
  270:         ratios.push_back(3.);
  271:         ratios.push_back(4.);
  272:         ratios.push_back(6.);
  273:         ratios.push_back(8.);
  274:         ratios.push_back(10.);
  275:         ratios.push_back(15.);
  276:         ratios.push_back(20.);
  277:         ratios.push_back(30.);
  278  
  279          int grid     = 0;
  280          int labelCnt = 0;
  281  
  282:         MagFont font(mixing_ratio_label_font_, mixing_ratio_label_style_, mixing_ratio_label_size_);
  283:         font.colour(*mixing_ratio_label_colour_);
  284  
  285:         for (vector<float>::iterator r = ratios.begin(); r != ratios.end(); ++r) {
  286:             if (grid % mixing_ratio_frequency_)
  287                  continue;
  288  
  289              grid++;
  290              Polyline poly;
  291:             poly.setColour(*mixing_ratio_colour_);
  292:             poly.setLineStyle(mixing_ratio_style_);
  293:             poly.setThickness(mixing_ratio_thickness_);
  294  
  295              double pTop      = 200;
  296              bool hasPointsIn = false;
  297              for (double p = pTop; p < pmax; p += 10) {
  298:                 double t      = magics::temperatureFromMixingRatio(*r, p * 100);
  299                  PaperPoint xy = tephi(UserPoint(t - 273.15, p));
  300                  if (xy.x() < maxpcx)
  ...
  302  
  303                  poly.push_back(xy);
  304:                 if (labelCnt % mixing_ratio_label_frequency_)
  305                      continue;
  306  
  ...
  314              // labels along the 950 hPa line
  315              double pLabel = 950;
  316:             double t      = magics::temperatureFromMixingRatio(*r, pLabel * 100);
  317              PaperPoint xy = tephi(UserPoint(t - 273.15, pLabel));
  318              if (tephi.in(xy) && xy.x() <= maxpcx) {

/Users/sylvie/git/magics/src/visualisers/LinearTableMode.cc:
   88  {
   89       int 	i;		 //auxiliary variables
   90:      double   ratio;           // imagel level ratio
   91  
   92       // Check image range of values
   ..
  111     
  112      // Create lut
  113:     ratio = (double)(imax-imin)/(double)nlevels;
  114      for( i = 0; i < imax; i++)
  115      {
  ...
  119  	     lut[i] = nlevels-1;
  120  	 else
  121:        	     lut[i] =  (short)( (double)(i-imin)/ratio );
  122       }
  123  

/Users/sylvie/git/magics/src/visualisers/NormalTableMode.cc:
   48      long pop;      // total population
   49      long cutv;     // outlayer population
   50:     double ratio;  // ratio value
   51  
   52  
   ..
  117  
  118      // Create lut
  119:     ratio = (double)(maxOut - minOut) / (double)nlevels;
  120      for (i = 0; i < imax; i++) {
  121          if (i < minOut)
  ...
  124              lut[i] = nlevels - 1;
  125          else
  126:             lut[i] = (short)((double)(i - minOut) / ratio);
  127      }
  128  

/Users/sylvie/git/magics/src/visualisers/SkewtGrid.cc:
  246      }
  247  
  248:     // Humidity Mixing ratio Lines - up to 200 hPa
  249:     if (mixing_ratio_) {
  250:         vector<float> ratios;  // in g/kg
  251:         ratios.push_back(0.1);
  252:         ratios.push_back(0.2);
  253:         ratios.push_back(0.5);
  254:         ratios.push_back(0.7);
  255:         ratios.push_back(1.);
  256:         ratios.push_back(1.5);
  257:         ratios.push_back(2.);
  258:         ratios.push_back(3.);
  259:         ratios.push_back(5.);
  260:         ratios.push_back(7.);
  261:         ratios.push_back(10.);
  262:         ratios.push_back(15.);
  263:         ratios.push_back(20.);
  264:         ratios.push_back(30.);
  265  
  266          int grid     = 0;
  267          int labelCnt = 0;
  268  
  269:         MagFont font(mixing_ratio_label_font_, mixing_ratio_label_style_, mixing_ratio_label_size_);
  270:         font.colour(*mixing_ratio_label_colour_);
  271  
  272:         for (vector<float>::iterator r = ratios.begin(); r != ratios.end(); ++r) {
  273:             if (grid % mixing_ratio_frequency_)
  274                  continue;
  275  
  276              grid++;
  277              Polyline poly;
  278:             poly.setColour(*mixing_ratio_colour_);
  279:             poly.setLineStyle(mixing_ratio_style_);
  280:             poly.setThickness(mixing_ratio_thickness_);
  281  
  282              double pTop      = 200;
  283              bool hasPointsIn = false;
  284              for (double p = pTop; p < pmax; p += 10) {
  285:                 double t      = magics::temperatureFromMixingRatio(*r, p * 100);
  286                  PaperPoint xy = tephi(UserPoint(t - 273.15, p));
  287                  if (xy.x() < maxpcx)
  ...
  289  
  290                  poly.push_back(xy);
  291:                 if (labelCnt % mixing_ratio_label_frequency_)
  292                      continue;
  293  
  ...
  301              // labels along the 950 hPa line
  302              double pLabel = 950;
  303:             double t      = magics::temperatureFromMixingRatio(*r, pLabel * 100);
  304              PaperPoint xy = tephi(UserPoint(t - 273.15, pLabel));
  305              if (tephi.in(xy) && xy.x() <= maxpcx) {

/Users/sylvie/git/magics/src/visualisers/Streamlines.cc:
  200          poly.setLineStyle(style_);
  201  
  202:         if (ratio_ > 0) {  // si ratio_ == 0, il reste quand même une "trace"
  203              ArrowProperties* arrow = new ArrowProperties();
  204              arrow->setHeadIndex(head_);
  205:             arrow->setHeadRatio(ratio_);
  206              poly.setArrow(arrow);
  207          }

/Users/sylvie/git/magics/src/visualisers/SymbolAdvancedTableMode.cc:
  134          double height = height_method_->height(*level);
  135          if (scale)
  136:             height = transformation.ratio() * height * scaling;
  137          SymbolProperties properties;
  138          if (index)

/Users/sylvie/git/magics/src/visualisers/SymbolPlotting.cc:
   50      // get Area !
   51  
   52:     return transformation.ratio() * scaling_level_0_ * scaling_factor_;
   53  }
   54  

/Users/sylvie/git/magics/src/visualisers/TephiGrid.cc:
  220          }
  221      }
  222:     if (mixing_ratio_) {
  223:         vector<float> ratios;
  224:         ratios.push_back(0.1);
  225:         ratios.push_back(0.2);
  226:         ratios.push_back(0.5);
  227:         ratios.push_back(0.7);
  228:         ratios.push_back(1.);
  229:         ratios.push_back(1.5);
  230:         ratios.push_back(2.);
  231:         ratios.push_back(3.);
  232:         ratios.push_back(5.);
  233:         ratios.push_back(7.);
  234:         ratios.push_back(10.);
  235:         ratios.push_back(15.);
  236:         ratios.push_back(20.);
  237:         ratios.push_back(30.);
  238:         ratios.push_back(50.);
  239:         // ratios.push_back(100.);
  240  
  241  
  242:         // Humidity Mixing ratio Lines
  243          int grid  = 0;
  244          int label = 0;
  245:         for (vector<float>::iterator r = ratios.begin(); r != ratios.end(); ++r) {
  246:             if (grid % mixing_ratio_frequency_)
  247                  continue;
  248              grid++;
  249              Polyline poly;
  250:             poly.setColour(*mixing_ratio_colour_);
  251:             poly.setLineStyle(mixing_ratio_style_);
  252:             poly.setThickness(mixing_ratio_thickness_);
  253              for (double p = pmin - 10; p < pmax + 15; p += 10) {
  254:                 double t      = temperatureFromMixingRatio(*r, p * 100);
  255                  PaperPoint xy = tephi(UserPoint(t - 273.15, p));
  256  
  ...
  262                  poly.push_back(xy);
  263  
  264:                 if (label % mixing_ratio_label_frequency_)
  265                      continue;
  266                  label++;
  ...
  407  }
  408  void TephiGrid::visit(BottomAxisVisitor& out) {
  409:     MagFont font(mixing_ratio_label_font_, mixing_ratio_label_style_, mixing_ratio_label_size_);
  410:     font.colour(*mixing_ratio_label_colour_);
  411  
  412      for (map<double, PaperPoint>::iterator label = mixingLabels_.begin(); label != mixingLabels_.end(); ++label) {

/Users/sylvie/build/magics/src/params/ArrowPlottingAttributes.cc:
   31  	calm_below_(ParameterManager::getDouble("wind_arrow_calm_below")),
   32  	head_(ParameterManager::getInt("wind_arrow_head_shape")),
   33: 	ratio_(ParameterManager::getDouble("wind_arrow_head_ratio")),
   34  	max_speed_(ParameterManager::getDouble("wind_arrow_max_speed")),
   35  	min_speed_(ParameterManager::getDouble("wind_arrow_min_speed")),
   ..
   65  	setAttribute(prefix, "wind_arrow_calm_below", calm_below_, params);
   66  	setAttribute(prefix, "wind_arrow_head_shape", head_, params);
   67: 	setAttribute(prefix, "wind_arrow_head_ratio", ratio_, params);
   68  	setAttribute(prefix, "wind_arrow_max_speed", max_speed_, params);
   69  	setAttribute(prefix, "wind_arrow_min_speed", min_speed_, params);
   ..
   86  	calm_below_ = other.calm_below_;
   87  	head_ = other.head_;
   88: 	ratio_ = other.ratio_;
   89  	max_speed_ = other.max_speed_;
   90  	min_speed_ = other.min_speed_;
   ..
  136  	out << " calm_below = " <<  calm_below_;
  137  	out << " head = " <<  head_;
  138: 	out << " ratio = " <<  ratio_;
  139  	out << " max_speed = " <<  max_speed_;
  140  	out << " min_speed = " <<  min_speed_;
  ...
  161  	out << ", \"wind_arrow_head_shape\":";
  162  	niceprint(out,head_);
  163: 	out << ", \"wind_arrow_head_ratio\":";
  164: 	niceprint(out,ratio_);
  165  	out << ", \"wind_arrow_max_speed\":";
  166  	niceprint(out,max_speed_);
  ...
  191  static MagicsParameter<double> wind_arrow_calm_below("wind_arrow_calm_below", 0.5, "");
  192  static MagicsParameter<int> wind_arrow_head_shape("wind_arrow_head_shape", 0, "");
  193: static MagicsParameter<double> wind_arrow_head_ratio("wind_arrow_head_ratio", 0.3, "");
  194  static MagicsParameter<double> wind_arrow_max_speed("wind_arrow_max_speed", 1.0e+21, "");
  195  static MagicsParameter<double> wind_arrow_min_speed("wind_arrow_min_speed", -1.0e+21, "");

/Users/sylvie/build/magics/src/params/ArrowPlottingAttributes.h:
   56  	double calm_below_;
   57  	int head_;
   58: 	double ratio_;
   59  	double max_speed_;
   60  	double min_speed_;

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.cc:
   32  	title_orientation_(ParameterManager::getString("legend_title_orientation")),
   33  	title_font_size_(ParameterManager::getDouble("legend_title_font_size")),
   34: 	title_ratio_(ParameterManager::getDouble("legend_title_position_ratio")),
   35  	units_text_(ParameterManager::getString("legend_units_text")),
   36  	use_min_(ParameterManager::getBool("legend_user_minimum")),
   ..
  104  	setAttribute(prefix, "legend_title_orientation", title_orientation_, params);
  105  	setAttribute(prefix, "legend_title_font_size", title_font_size_, params);
  106: 	setAttribute(prefix, "legend_title_position_ratio", title_ratio_, params);
  107  	setAttribute(prefix, "legend_units_text", units_text_, params);
  108  	setAttribute(prefix, "legend_user_minimum", use_min_, params);
  ...
  164  	title_orientation_ = other.title_orientation_;
  165  	title_font_size_ = other.title_font_size_;
  166: 	title_ratio_ = other.title_ratio_;
  167  	units_text_ = other.units_text_;
  168  	use_min_ = other.use_min_;
  ...
  253  	out << " title_orientation = " <<  title_orientation_;
  254  	out << " title_font_size = " <<  title_font_size_;
  255: 	out << " title_ratio = " <<  title_ratio_;
  256  	out << " units_text = " <<  units_text_;
  257  	out << " use_min = " <<  use_min_;
  ...
  318  	out << ", \"legend_title_font_size\":";
  319  	niceprint(out,title_font_size_);
  320: 	out << ", \"legend_title_position_ratio\":";
  321: 	niceprint(out,title_ratio_);
  322  	out << ", \"legend_units_text\":";
  323  	niceprint(out,units_text_);
  ...
  425  static MagicsParameter<string> legend_title_orientation("legend_title_orientation", "automatic", "");
  426  static MagicsParameter<double> legend_title_font_size("legend_title_font_size", -1, "");
  427: static MagicsParameter<double> legend_title_position_ratio("legend_title_position_ratio", 25, "");
  428  static MagicsParameter<string> legend_units_text("legend_units_text", "", "");
  429  static MagicsParameter<string> legend_user_minimum("legend_user_minimum", "off", "");

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.h:
   57  	string title_orientation_;
   58  	double title_font_size_;
   59: 	double title_ratio_;
   60  	string units_text_;
   61  	bool use_min_;

/Users/sylvie/build/magics/src/params/StreamlinesAttributes.cc:
   32  	thickness_(ParameterManager::getInt("wind_streamline_thickness")),
   33  	head_(ParameterManager::getInt("wind_streamline_head_shape")),
   34: 	ratio_(ParameterManager::getDouble("wind_streamline_head_ratio"))
   35  	,
   36  	colour_(MagTranslator<string, Colour>().magics("wind_streamline_colour")),
   ..
   58  	setAttribute(prefix, "wind_streamline_thickness", thickness_, params);
   59  	setAttribute(prefix, "wind_streamline_head_shape", head_, params);
   60: 	setAttribute(prefix, "wind_streamline_head_ratio", ratio_, params);
   61  	
   62  	setMember(prefix, "wind_streamline_colour", colour_, params);
   ..
   71  	thickness_ = other.thickness_;
   72  	head_ = other.head_;
   73: 	ratio_ = other.ratio_;
   74  	colour_ = unique_ptr<Colour>(other.colour_->clone());
   75  	style_ = other.style_;
   ..
  109  	out << " thickness = " <<  thickness_;
  110  	out << " head = " <<  head_;
  111: 	out << " ratio = " <<  ratio_;
  112  	out << " colour = " <<  *colour_;
  113  	out << " style = " <<  style_;
  ...
  127  	out << ", \"wind_streamline_head_shape\":";
  128  	niceprint(out,head_);
  129: 	out << ", \"wind_streamline_head_ratio\":";
  130: 	niceprint(out,ratio_);
  131  	out << ", \"wind_streamline_colour\":";
  132  	niceprint(out, *colour_);
  ...
  140  static MagicsParameter<int> wind_streamline_thickness("wind_streamline_thickness", 2, "");
  141  static MagicsParameter<int> wind_streamline_head_shape("wind_streamline_head_shape", 1, "");
  142: static MagicsParameter<double> wind_streamline_head_ratio("wind_streamline_head_ratio", 0.2, "");
  143  static MagicsParameter<string> wind_streamline_colour("wind_streamline_colour", "blue", ""); 
  144  static MagicsParameter<string> wind_streamline_style("wind_streamline_style", "solid", ""); 

/Users/sylvie/build/magics/src/params/StreamlinesAttributes.h:
   56  	int thickness_;
   57  	int head_;
   58: 	double ratio_;
   59  	unique_ptr<Colour> colour_;
   60  	LineStyle style_;

/Users/sylvie/build/magics/src/params/TephiGridAttributes.cc:
   62  	saturated_adiabatic_label_size_(ParameterManager::getDouble("thermo_saturated_adiabatic_label_font_size")),
   63  	saturated_adiabatic_label_frequency_(ParameterManager::getInt("thermo_saturated_adiabatic_label_frequency")),
   64: 	mixing_ratio_(ParameterManager::getBool("thermo_mixing_ratio_grid")),
   65: 	mixing_ratio_thickness_(ParameterManager::getInt("thermo_mixing_ratio_thickness")),
   66: 	mixing_ratio_frequency_(ParameterManager::getInt("thermo_mixing_ratio_frequency")),
   67: 	mixing_ratio_label_font_(ParameterManager::getString("thermo_mixing_ratio_label_font")),
   68: 	mixing_ratio_label_style_(ParameterManager::getString("thermo_mixing_ratio_label_font_style")),
   69: 	mixing_ratio_label_size_(ParameterManager::getDouble("thermo_mixing_ratio_label_font_size")),
   70: 	mixing_ratio_label_frequency_(ParameterManager::getInt("thermo_mixing_ratio_label_frequency"))
   71  	,
   72  	isotherm_colour_(MagTranslator<string, Colour>().magics("thermo_isotherm_colour")),
   ..
   84  	saturated_adiabatic_style_(MagTranslator<string, LineStyle>().magics("thermo_saturated_adiabatic_style")),
   85  	saturated_adiabatic_label_colour_(MagTranslator<string, Colour>().magics("thermo_saturated_adiabatic_label_colour")),
   86: 	mixing_ratio_colour_(MagTranslator<string, Colour>().magics("thermo_mixing_ratio_colour")),
   87: 	mixing_ratio_style_(MagTranslator<string, LineStyle>().magics("thermo_mixing_ratio_style")),
   88: 	mixing_ratio_label_colour_(MagTranslator<string, Colour>().magics("thermo_mixing_ratio_label_colour"))
   89  	 
   90  {
   ..
  138  	setAttribute(prefix, "thermo_saturated_adiabatic_label_font_size", saturated_adiabatic_label_size_, params);
  139  	setAttribute(prefix, "thermo_saturated_adiabatic_label_frequency", saturated_adiabatic_label_frequency_, params);
  140: 	setAttribute(prefix, "thermo_mixing_ratio_grid", mixing_ratio_, params);
  141: 	setAttribute(prefix, "thermo_mixing_ratio_thickness", mixing_ratio_thickness_, params);
  142: 	setAttribute(prefix, "thermo_mixing_ratio_frequency", mixing_ratio_frequency_, params);
  143: 	setAttribute(prefix, "thermo_mixing_ratio_label_font", mixing_ratio_label_font_, params);
  144: 	setAttribute(prefix, "thermo_mixing_ratio_label_font_style", mixing_ratio_label_style_, params);
  145: 	setAttribute(prefix, "thermo_mixing_ratio_label_font_size", mixing_ratio_label_size_, params);
  146: 	setAttribute(prefix, "thermo_mixing_ratio_label_frequency", mixing_ratio_label_frequency_, params);
  147  	
  148  	setMember(prefix, "thermo_isotherm_colour", isotherm_colour_, params);
  ...
  160  	setAttribute(prefix, "thermo_saturated_adiabatic_style", saturated_adiabatic_style_, params);
  161  	setMember(prefix, "thermo_saturated_adiabatic_label_colour", saturated_adiabatic_label_colour_, params);
  162: 	setMember(prefix, "thermo_mixing_ratio_colour", mixing_ratio_colour_, params);
  163: 	setAttribute(prefix, "thermo_mixing_ratio_style", mixing_ratio_style_, params);
  164: 	setMember(prefix, "thermo_mixing_ratio_label_colour", mixing_ratio_label_colour_, params);
  165  	
  166  }
  ...
  202  	saturated_adiabatic_label_size_ = other.saturated_adiabatic_label_size_;
  203  	saturated_adiabatic_label_frequency_ = other.saturated_adiabatic_label_frequency_;
  204: 	mixing_ratio_ = other.mixing_ratio_;
  205: 	mixing_ratio_thickness_ = other.mixing_ratio_thickness_;
  206: 	mixing_ratio_frequency_ = other.mixing_ratio_frequency_;
  207: 	mixing_ratio_label_font_ = other.mixing_ratio_label_font_;
  208: 	mixing_ratio_label_style_ = other.mixing_ratio_label_style_;
  209: 	mixing_ratio_label_size_ = other.mixing_ratio_label_size_;
  210: 	mixing_ratio_label_frequency_ = other.mixing_ratio_label_frequency_;
  211  	isotherm_colour_ = unique_ptr<Colour>(other.isotherm_colour_->clone());
  212  	isotherm_style_ = other.isotherm_style_;
  ...
  223  	saturated_adiabatic_style_ = other.saturated_adiabatic_style_;
  224  	saturated_adiabatic_label_colour_ = unique_ptr<Colour>(other.saturated_adiabatic_label_colour_->clone());
  225: 	mixing_ratio_colour_ = unique_ptr<Colour>(other.mixing_ratio_colour_->clone());
  226: 	mixing_ratio_style_ = other.mixing_ratio_style_;
  227: 	mixing_ratio_label_colour_ = unique_ptr<Colour>(other.mixing_ratio_label_colour_->clone());
  228  	
  229  } 
  ...
  291  	out << " saturated_adiabatic_label_size = " <<  saturated_adiabatic_label_size_;
  292  	out << " saturated_adiabatic_label_frequency = " <<  saturated_adiabatic_label_frequency_;
  293: 	out << " mixing_ratio = " <<  mixing_ratio_;
  294: 	out << " mixing_ratio_thickness = " <<  mixing_ratio_thickness_;
  295: 	out << " mixing_ratio_frequency = " <<  mixing_ratio_frequency_;
  296: 	out << " mixing_ratio_label_font = " <<  mixing_ratio_label_font_;
  297: 	out << " mixing_ratio_label_style = " <<  mixing_ratio_label_style_;
  298: 	out << " mixing_ratio_label_size = " <<  mixing_ratio_label_size_;
  299: 	out << " mixing_ratio_label_frequency = " <<  mixing_ratio_label_frequency_;
  300  	out << " isotherm_colour = " <<  *isotherm_colour_;
  301  	out << " isotherm_style = " <<  isotherm_style_;
  ...
  312  	out << " saturated_adiabatic_style = " <<  saturated_adiabatic_style_;
  313  	out << " saturated_adiabatic_label_colour = " <<  *saturated_adiabatic_label_colour_;
  314: 	out << " mixing_ratio_colour = " <<  *mixing_ratio_colour_;
  315: 	out << " mixing_ratio_style = " <<  mixing_ratio_style_;
  316: 	out << " mixing_ratio_label_colour = " <<  *mixing_ratio_label_colour_;
  317  	
  318  	out << "]" << "\n";
  ...
  390  	out << ", \"thermo_saturated_adiabatic_label_frequency\":";
  391  	niceprint(out,saturated_adiabatic_label_frequency_);
  392: 	out << ", \"thermo_mixing_ratio_grid\":";
  393: 	niceprint(out,mixing_ratio_);
  394: 	out << ", \"thermo_mixing_ratio_thickness\":";
  395: 	niceprint(out,mixing_ratio_thickness_);
  396: 	out << ", \"thermo_mixing_ratio_frequency\":";
  397: 	niceprint(out,mixing_ratio_frequency_);
  398: 	out << ", \"thermo_mixing_ratio_label_font\":";
  399: 	niceprint(out,mixing_ratio_label_font_);
  400: 	out << ", \"thermo_mixing_ratio_label_font_style\":";
  401: 	niceprint(out,mixing_ratio_label_style_);
  402: 	out << ", \"thermo_mixing_ratio_label_font_size\":";
  403: 	niceprint(out,mixing_ratio_label_size_);
  404: 	out << ", \"thermo_mixing_ratio_label_frequency\":";
  405: 	niceprint(out,mixing_ratio_label_frequency_);
  406  	out << ", \"thermo_isotherm_colour\":";
  407  	niceprint(out, *isotherm_colour_);
  ...
  432  	out << ", \"thermo_saturated_adiabatic_label_colour\":";
  433  	niceprint(out, *saturated_adiabatic_label_colour_);
  434: 	out << ", \"thermo_mixing_ratio_colour\":";
  435: 	niceprint(out, *mixing_ratio_colour_);
  436: 	out << ", \"thermo_mixing_ratio_style\":";
  437: 	niceprint(out, mixing_ratio_style_);
  438: 	out << ", \"thermo_mixing_ratio_label_colour\":";
  439: 	niceprint(out, *mixing_ratio_label_colour_);
  440  	
  441  }
  ...
  475  static MagicsParameter<double> thermo_saturated_adiabatic_label_font_size("thermo_saturated_adiabatic_label_font_size", 0.3, "");
  476  static MagicsParameter<int> thermo_saturated_adiabatic_label_frequency("thermo_saturated_adiabatic_label_frequency", 1, "");
  477: static MagicsParameter<string> thermo_mixing_ratio_grid("thermo_mixing_ratio_grid", "on", "");
  478: static MagicsParameter<int> thermo_mixing_ratio_thickness("thermo_mixing_ratio_thickness", 1, "");
  479: static MagicsParameter<int> thermo_mixing_ratio_frequency("thermo_mixing_ratio_frequency", 1, "");
  480: static MagicsParameter<string> thermo_mixing_ratio_label_font("thermo_mixing_ratio_label_font", "helvetica", "");
  481: static MagicsParameter<string> thermo_mixing_ratio_label_font_style("thermo_mixing_ratio_label_font_style", "normal", "");
  482: static MagicsParameter<double> thermo_mixing_ratio_label_font_size("thermo_mixing_ratio_label_font_size", 0.3, "");
  483: static MagicsParameter<int> thermo_mixing_ratio_label_frequency("thermo_mixing_ratio_label_frequency", 1, "");
  484  static MagicsParameter<string> thermo_isotherm_colour("thermo_isotherm_colour", "charcoal", ""); 
  485  static MagicsParameter<string> thermo_isotherm_style("thermo_isotherm_style", "solid", ""); 
  ...
  496  static MagicsParameter<string> thermo_saturated_adiabatic_style("thermo_saturated_adiabatic_style", "solid", ""); 
  497  static MagicsParameter<string> thermo_saturated_adiabatic_label_colour("thermo_saturated_adiabatic_label_colour", "charcoal", ""); 
  498: static MagicsParameter<string> thermo_mixing_ratio_colour("thermo_mixing_ratio_colour", "purple", ""); 
  499: static MagicsParameter<string> thermo_mixing_ratio_style("thermo_mixing_ratio_style", "dash", ""); 
  500: static MagicsParameter<string> thermo_mixing_ratio_label_colour("thermo_mixing_ratio_label_colour", "purple", ""); 
  501  

/Users/sylvie/build/magics/src/params/TephiGridAttributes.h:
   86  	double saturated_adiabatic_label_size_;
   87  	int saturated_adiabatic_label_frequency_;
   88: 	bool mixing_ratio_;
   89: 	int mixing_ratio_thickness_;
   90: 	int mixing_ratio_frequency_;
   91: 	string mixing_ratio_label_font_;
   92: 	string mixing_ratio_label_style_;
   93: 	double mixing_ratio_label_size_;
   94: 	int mixing_ratio_label_frequency_;
   95  	unique_ptr<Colour> isotherm_colour_;
   96  	LineStyle isotherm_style_;
   ..
  107  	LineStyle saturated_adiabatic_style_;
  108  	unique_ptr<Colour> saturated_adiabatic_label_colour_;
  109: 	unique_ptr<Colour> mixing_ratio_colour_;
  110: 	LineStyle mixing_ratio_style_;
  111: 	unique_ptr<Colour> mixing_ratio_label_colour_;
  112  	 
  113  

/Users/sylvie/build/magics/src/params/TextVisitorAttributes.cc:
   85  	real9_(ParameterManager::getDouble("text_real_9")),
   86  	real10_(ParameterManager::getDouble("text_real_10")),
   87: 	height_ratio_1_(ParameterManager::getDouble("text_line_height_ratio_1")),
   88: 	height_ratio_2_(ParameterManager::getDouble("text_line_height_ratio_2")),
   89: 	height_ratio_3_(ParameterManager::getDouble("text_line_height_ratio_3")),
   90: 	height_ratio_4_(ParameterManager::getDouble("text_line_height_ratio_4")),
   91: 	height_ratio_5_(ParameterManager::getDouble("text_line_height_ratio_5")),
   92: 	height_ratio_6_(ParameterManager::getDouble("text_line_height_ratio_6")),
   93: 	height_ratio_7_(ParameterManager::getDouble("text_line_height_ratio_7")),
   94: 	height_ratio_8_(ParameterManager::getDouble("text_line_height_ratio_8")),
   95: 	height_ratio_9_(ParameterManager::getDouble("text_line_height_ratio_9")),
   96: 	height_ratio_10_(ParameterManager::getDouble("text_line_height_ratio_10")),
   97  	parameter_escape_(ParameterManager::getString("text_parameter_escape_character")),
   98: 	height_ratios_(ParameterManager::getDoubleArray("text_line_height_ratios"))
   99  	,
  100  	font_colour_(MagTranslator<string, Colour>().magics("text_colour")),
  ...
  176  	setAttribute(prefix, "text_real_9", real9_, params);
  177  	setAttribute(prefix, "text_real_10", real10_, params);
  178: 	setAttribute(prefix, "text_line_height_ratio_1", height_ratio_1_, params);
  179: 	setAttribute(prefix, "text_line_height_ratio_2", height_ratio_2_, params);
  180: 	setAttribute(prefix, "text_line_height_ratio_3", height_ratio_3_, params);
  181: 	setAttribute(prefix, "text_line_height_ratio_4", height_ratio_4_, params);
  182: 	setAttribute(prefix, "text_line_height_ratio_5", height_ratio_5_, params);
  183: 	setAttribute(prefix, "text_line_height_ratio_6", height_ratio_6_, params);
  184: 	setAttribute(prefix, "text_line_height_ratio_7", height_ratio_7_, params);
  185: 	setAttribute(prefix, "text_line_height_ratio_8", height_ratio_8_, params);
  186: 	setAttribute(prefix, "text_line_height_ratio_9", height_ratio_9_, params);
  187: 	setAttribute(prefix, "text_line_height_ratio_10", height_ratio_10_, params);
  188  	setAttribute(prefix, "text_parameter_escape_character", parameter_escape_, params);
  189: 	setAttribute(prefix, "text_line_height_ratios", height_ratios_, params);
  190  	
  191  	setMember(prefix, "text_colour", font_colour_, params);
  ...
  255  	real9_ = other.real9_;
  256  	real10_ = other.real10_;
  257: 	height_ratio_1_ = other.height_ratio_1_;
  258: 	height_ratio_2_ = other.height_ratio_2_;
  259: 	height_ratio_3_ = other.height_ratio_3_;
  260: 	height_ratio_4_ = other.height_ratio_4_;
  261: 	height_ratio_5_ = other.height_ratio_5_;
  262: 	height_ratio_6_ = other.height_ratio_6_;
  263: 	height_ratio_7_ = other.height_ratio_7_;
  264: 	height_ratio_8_ = other.height_ratio_8_;
  265: 	height_ratio_9_ = other.height_ratio_9_;
  266: 	height_ratio_10_ = other.height_ratio_10_;
  267  	parameter_escape_ = other.parameter_escape_;
  268: 	height_ratios_ = other.height_ratios_;
  269  	font_colour_ = unique_ptr<Colour>(other.font_colour_->clone());
  270  	justification_ = other.justification_;
  ...
  359  	out << " real9 = " <<  real9_;
  360  	out << " real10 = " <<  real10_;
  361: 	out << " height_ratio_1 = " <<  height_ratio_1_;
  362: 	out << " height_ratio_2 = " <<  height_ratio_2_;
  363: 	out << " height_ratio_3 = " <<  height_ratio_3_;
  364: 	out << " height_ratio_4 = " <<  height_ratio_4_;
  365: 	out << " height_ratio_5 = " <<  height_ratio_5_;
  366: 	out << " height_ratio_6 = " <<  height_ratio_6_;
  367: 	out << " height_ratio_7 = " <<  height_ratio_7_;
  368: 	out << " height_ratio_8 = " <<  height_ratio_8_;
  369: 	out << " height_ratio_9 = " <<  height_ratio_9_;
  370: 	out << " height_ratio_10 = " <<  height_ratio_10_;
  371  	out << " parameter_escape = " <<  parameter_escape_;
  372: 	out << " height_ratios = " <<  height_ratios_;
  373  	out << " font_colour = " <<  *font_colour_;
  374  	out << " justification = " <<  justification_;
  ...
  496  	out << ", \"text_real_10\":";
  497  	niceprint(out,real10_);
  498: 	out << ", \"text_line_height_ratio_1\":";
  499: 	niceprint(out,height_ratio_1_);
  500: 	out << ", \"text_line_height_ratio_2\":";
  501: 	niceprint(out,height_ratio_2_);
  502: 	out << ", \"text_line_height_ratio_3\":";
  503: 	niceprint(out,height_ratio_3_);
  504: 	out << ", \"text_line_height_ratio_4\":";
  505: 	niceprint(out,height_ratio_4_);
  506: 	out << ", \"text_line_height_ratio_5\":";
  507: 	niceprint(out,height_ratio_5_);
  508: 	out << ", \"text_line_height_ratio_6\":";
  509: 	niceprint(out,height_ratio_6_);
  510: 	out << ", \"text_line_height_ratio_7\":";
  511: 	niceprint(out,height_ratio_7_);
  512: 	out << ", \"text_line_height_ratio_8\":";
  513: 	niceprint(out,height_ratio_8_);
  514: 	out << ", \"text_line_height_ratio_9\":";
  515: 	niceprint(out,height_ratio_9_);
  516: 	out << ", \"text_line_height_ratio_10\":";
  517: 	niceprint(out,height_ratio_10_);
  518  	out << ", \"text_parameter_escape_character\":";
  519  	niceprint(out,parameter_escape_);
  520: 	out << ", \"text_line_height_ratios\":";
  521: 	niceprint(out,height_ratios_);
  522  	out << ", \"text_colour\":";
  523  	niceprint(out, *font_colour_);
  ...
  588  static MagicsParameter<double> text_real_9("text_real_9", 0, "");
  589  static MagicsParameter<double> text_real_10("text_real_10", 0, "");
  590: static MagicsParameter<double> text_line_height_ratio_1("text_line_height_ratio_1", 1, "");
  591: static MagicsParameter<double> text_line_height_ratio_2("text_line_height_ratio_2", 1, "");
  592: static MagicsParameter<double> text_line_height_ratio_3("text_line_height_ratio_3", 1, "");
  593: static MagicsParameter<double> text_line_height_ratio_4("text_line_height_ratio_4", 1, "");
  594: static MagicsParameter<double> text_line_height_ratio_5("text_line_height_ratio_5", 1, "");
  595: static MagicsParameter<double> text_line_height_ratio_6("text_line_height_ratio_6", 1, "");
  596: static MagicsParameter<double> text_line_height_ratio_7("text_line_height_ratio_7", 1, "");
  597: static MagicsParameter<double> text_line_height_ratio_8("text_line_height_ratio_8", 1, "");
  598: static MagicsParameter<double> text_line_height_ratio_9("text_line_height_ratio_9", 1, "");
  599: static MagicsParameter<double> text_line_height_ratio_10("text_line_height_ratio_10", 1, "");
  600  static MagicsParameter<string> text_parameter_escape_character("text_parameter_escape_character", "@", "");
  601: static MagicsParameter<doublearray> text_line_height_ratios("text_line_height_ratios", floatarray(), "");
  602  static MagicsParameter<string> text_colour("text_colour", "navy", ""); 
  603  static MagicsParameter<string> text_justification("text_justification", "centre", ""); 

/Users/sylvie/build/magics/src/params/TextVisitorAttributes.h:
  109  	double real9_;
  110  	double real10_;
  111: 	double height_ratio_1_;
  112: 	double height_ratio_2_;
  113: 	double height_ratio_3_;
  114: 	double height_ratio_4_;
  115: 	double height_ratio_5_;
  116: 	double height_ratio_6_;
  117: 	double height_ratio_7_;
  118: 	double height_ratio_8_;
  119: 	double height_ratio_9_;
  120: 	double height_ratio_10_;
  121  	string parameter_escape_;
  122: 	doublearray height_ratios_;
  123  	unique_ptr<Colour> font_colour_;
  124  	Justification justification_;

960 matches across 92 files


Searching 1231 files for "ratio_"

/Users/sylvie/git/magics/src/basic/LegendVisitor.cc:
  355      double maxy = legend_->maxY();
  356  
  357:     double height  = (100 / (100 - title_ratio_)) * (maxy - miny);
  358      double newmaxy = miny + height;
  359  
  ...
  370      double maxy = legend_->maxY();
  371  
  372:     double height  = (100 / (100 - title_ratio_)) * (maxy - miny);
  373      double newminy = maxy - height;
  374  
  ...
  386  
  387      bool column    = (legend_->absoluteWidth() < legend_->absoluteHeight());
  388:     double width   = (100 / (100 - title_ratio_)) * (maxx - minx);
  389      double newmaxx = minx + width;
  390  
  ...
  411      titleAngle_         = (column) ? magics::PI * 1.5 : 0;
  412  
  413:     double width   = (100 / (100 - title_ratio_)) * (maxx - minx);
  414      double newminx = maxx - width;
  415  

/Users/sylvie/git/magics/src/basic/TextVisitor.cc:
  374  
  375          interpret(line1_, lines);
  376:         ratios.push_back(height_ratio_1_);
  377          interpret(line2_, lines);
  378:         ratios.push_back(height_ratio_2_);
  379          interpret(line3_, lines);
  380:         ratios.push_back(height_ratio_3_);
  381          interpret(line4_, lines);
  382:         ratios.push_back(height_ratio_4_);
  383          interpret(line5_, lines);
  384:         ratios.push_back(height_ratio_5_);
  385          interpret(line6_, lines);
  386:         ratios.push_back(height_ratio_6_);
  387          interpret(line7_, lines);
  388:         ratios.push_back(height_ratio_7_);
  389          interpret(line8_, lines);
  390:         ratios.push_back(height_ratio_8_);
  391          interpret(line9_, lines);
  392:         ratios.push_back(height_ratio_9_);
  393          interpret(line10_, lines);
  394:         ratios.push_back(height_ratio_10_);
  395  
  396          if (first_ > 10) {

/Users/sylvie/git/magics/src/common/ArrowProperties.cc:
   36      originHeight_(0),
   37      headIndex_(0),
   38:     headRatio_(0.3) {}
   39  
   40  void ArrowProperties::copy(const ArrowProperties& from) {
   ..
   48      originHeight_  = from.originHeight_;
   49      headIndex_     = from.headIndex_;
   50:     headRatio_     = from.headRatio_;
   51  }
   52  

/Users/sylvie/git/magics/src/common/ArrowProperties.h:
   73      int getHeadIndex() const { return headIndex_; }
   74  
   75:     void setHeadRatio(double ratio) { headRatio_ = ratio; }
   76:     double getHeadRatio() const { return headRatio_; }
   77  
   78      void setColour(const Colour& colour) { colour_ = colour; }
   ..
   93      double originHeight_;
   94      int headIndex_;
   95:     double headRatio_;
   96  };
   97  }  // namespace magics

/Users/sylvie/git/magics/src/drivers/BaseDriverWind.h:
   26  public:
   27      rotate() : angle_(0) {}
   28:     rotate(MFloat a, MFloat ratio = 1.) : angle_(a), ratio_(ratio) {}
   29      void operator()(PaperPoint& p) {
   30:         MFloat x = p.x() * cos(angle_) + (p.y() / ratio_) * -sin(angle_);
   31:         MFloat y = (p.x() * ratio_) * sin(angle_) + p.y() * cos(angle_);
   32          p.x(x);
   33          p.y(y);
   ..
   36  private:
   37      MFloat angle_;
   38:     MFloat ratio_;
   39  };
   40  

/Users/sylvie/git/magics/src/drivers/QtDriver.cc:
  136  
  137      // By default the ratio between the physical pixel size according to the external definition and Qt is 1
  138:     dpiResolutionRatio_ = 1.;
  139  
  140      // If we have the physical pixel size from an external definition
  141      if (scene->dpiResolution() != -1) {
  142          // We compute the correct ratio
  143:         dpiResolutionRatio_ = static_cast<float>(qtDpiResolution) / static_cast<float>(scene->dpiResolution());
  144      }
  145      // Otherwise we suppose it is the same as given by Qt (thus their ratio will be 1)
  ...
 1108  
 1109              pheight = 72. * magfont.size() / 2.54;  // height in points
 1110:             pheight /= dpiResolutionRatio_;
 1111              pheight *= fontSizeFactor_;
 1112  
 ....
 1206  
 1207                  pheight = 72. * magfont.size() / 2.54;  // height in points
 1208:                 pheight /= dpiResolutionRatio_;
 1209                  pheight *= fontSizeFactor_;
 1210  
 ....
 1245  
 1246                  pheight = 72. * magfont.size() / 2.54;  // height in points
 1247:                 pheight /= dpiResolutionRatio_;
 1248                  pheight *= fontSizeFactor_;
 1249  

/Users/sylvie/git/magics/src/drivers/QtDriver.h:
  196      MFloat lineWidthFactor_;
  197      MFloat fontSizeFactor_;
  198:     MFloat dpiResolutionRatio_;
  199  };
  200  

/Users/sylvie/git/magics/src/visualisers/ArrowPlotting.cc:
   70      south->setArrowPosition(this->origin_position_);
   71      south->setHeadIndex(this->head_);
   72:     south->setHeadRatio(this->ratio_);
   73      southArrows_.insert(make_pair(colour, south));
   74      return south;
   ..
   90      north->setArrowPosition(this->origin_position_);
   91      north->setHeadIndex(this->head_);
   92:     north->setHeadRatio(this->ratio_);
   93      northArrows_.insert(make_pair(colour, north));
   94      return north;
   ..
  182      arrow->setArrowPosition(this->origin_position_);
  183      arrow->setHeadIndex(this->head_);
  184:     arrow->setHeadRatio(this->ratio_);
  185  
  186      if (legend_text_.empty() || legend_text_ == "vector") {

/Users/sylvie/git/magics/src/visualisers/EmagramGrid.cc:
  259  
  260      // Humidity Mixing ratio Lines - up to 200 hPa
  261:     if (mixing_ratio_) {
  262          vector<float> ratios;  // in g/kg
  263          ratios.push_back(0.1);
  ...
  280          int labelCnt = 0;
  281  
  282:         MagFont font(mixing_ratio_label_font_, mixing_ratio_label_style_, mixing_ratio_label_size_);
  283:         font.colour(*mixing_ratio_label_colour_);
  284  
  285          for (vector<float>::iterator r = ratios.begin(); r != ratios.end(); ++r) {
  286:             if (grid % mixing_ratio_frequency_)
  287                  continue;
  288  
  289              grid++;
  290              Polyline poly;
  291:             poly.setColour(*mixing_ratio_colour_);
  292:             poly.setLineStyle(mixing_ratio_style_);
  293:             poly.setThickness(mixing_ratio_thickness_);
  294  
  295              double pTop      = 200;
  ...
  302  
  303                  poly.push_back(xy);
  304:                 if (labelCnt % mixing_ratio_label_frequency_)
  305                      continue;
  306  

/Users/sylvie/git/magics/src/visualisers/SkewtGrid.cc:
  247  
  248      // Humidity Mixing ratio Lines - up to 200 hPa
  249:     if (mixing_ratio_) {
  250          vector<float> ratios;  // in g/kg
  251          ratios.push_back(0.1);
  ...
  267          int labelCnt = 0;
  268  
  269:         MagFont font(mixing_ratio_label_font_, mixing_ratio_label_style_, mixing_ratio_label_size_);
  270:         font.colour(*mixing_ratio_label_colour_);
  271  
  272          for (vector<float>::iterator r = ratios.begin(); r != ratios.end(); ++r) {
  273:             if (grid % mixing_ratio_frequency_)
  274                  continue;
  275  
  276              grid++;
  277              Polyline poly;
  278:             poly.setColour(*mixing_ratio_colour_);
  279:             poly.setLineStyle(mixing_ratio_style_);
  280:             poly.setThickness(mixing_ratio_thickness_);
  281  
  282              double pTop      = 200;
  ...
  289  
  290                  poly.push_back(xy);
  291:                 if (labelCnt % mixing_ratio_label_frequency_)
  292                      continue;
  293  

/Users/sylvie/git/magics/src/visualisers/Streamlines.cc:
  200          poly.setLineStyle(style_);
  201  
  202:         if (ratio_ > 0) {  // si ratio_ == 0, il reste quand même une "trace"
  203              ArrowProperties* arrow = new ArrowProperties();
  204              arrow->setHeadIndex(head_);
  205:             arrow->setHeadRatio(ratio_);
  206              poly.setArrow(arrow);
  207          }

/Users/sylvie/git/magics/src/visualisers/TephiGrid.cc:
  220          }
  221      }
  222:     if (mixing_ratio_) {
  223          vector<float> ratios;
  224          ratios.push_back(0.1);
  ...
  244          int label = 0;
  245          for (vector<float>::iterator r = ratios.begin(); r != ratios.end(); ++r) {
  246:             if (grid % mixing_ratio_frequency_)
  247                  continue;
  248              grid++;
  249              Polyline poly;
  250:             poly.setColour(*mixing_ratio_colour_);
  251:             poly.setLineStyle(mixing_ratio_style_);
  252:             poly.setThickness(mixing_ratio_thickness_);
  253              for (double p = pmin - 10; p < pmax + 15; p += 10) {
  254                  double t      = temperatureFromMixingRatio(*r, p * 100);
  ...
  262                  poly.push_back(xy);
  263  
  264:                 if (label % mixing_ratio_label_frequency_)
  265                      continue;
  266                  label++;
  ...
  407  }
  408  void TephiGrid::visit(BottomAxisVisitor& out) {
  409:     MagFont font(mixing_ratio_label_font_, mixing_ratio_label_style_, mixing_ratio_label_size_);
  410:     font.colour(*mixing_ratio_label_colour_);
  411  
  412      for (map<double, PaperPoint>::iterator label = mixingLabels_.begin(); label != mixingLabels_.end(); ++label) {

/Users/sylvie/build/magics/src/params/ArrowPlottingAttributes.cc:
   31  	calm_below_(ParameterManager::getDouble("wind_arrow_calm_below")),
   32  	head_(ParameterManager::getInt("wind_arrow_head_shape")),
   33: 	ratio_(ParameterManager::getDouble("wind_arrow_head_ratio")),
   34  	max_speed_(ParameterManager::getDouble("wind_arrow_max_speed")),
   35  	min_speed_(ParameterManager::getDouble("wind_arrow_min_speed")),
   ..
   65  	setAttribute(prefix, "wind_arrow_calm_below", calm_below_, params);
   66  	setAttribute(prefix, "wind_arrow_head_shape", head_, params);
   67: 	setAttribute(prefix, "wind_arrow_head_ratio", ratio_, params);
   68  	setAttribute(prefix, "wind_arrow_max_speed", max_speed_, params);
   69  	setAttribute(prefix, "wind_arrow_min_speed", min_speed_, params);
   ..
   86  	calm_below_ = other.calm_below_;
   87  	head_ = other.head_;
   88: 	ratio_ = other.ratio_;
   89  	max_speed_ = other.max_speed_;
   90  	min_speed_ = other.min_speed_;
   ..
  136  	out << " calm_below = " <<  calm_below_;
  137  	out << " head = " <<  head_;
  138: 	out << " ratio = " <<  ratio_;
  139  	out << " max_speed = " <<  max_speed_;
  140  	out << " min_speed = " <<  min_speed_;
  ...
  162  	niceprint(out,head_);
  163  	out << ", \"wind_arrow_head_ratio\":";
  164: 	niceprint(out,ratio_);
  165  	out << ", \"wind_arrow_max_speed\":";
  166  	niceprint(out,max_speed_);

/Users/sylvie/build/magics/src/params/ArrowPlottingAttributes.h:
   56  	double calm_below_;
   57  	int head_;
   58: 	double ratio_;
   59  	double max_speed_;
   60  	double min_speed_;

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.cc:
   32  	title_orientation_(ParameterManager::getString("legend_title_orientation")),
   33  	title_font_size_(ParameterManager::getDouble("legend_title_font_size")),
   34: 	title_ratio_(ParameterManager::getDouble("legend_title_position_ratio")),
   35  	units_text_(ParameterManager::getString("legend_units_text")),
   36  	use_min_(ParameterManager::getBool("legend_user_minimum")),
   ..
  104  	setAttribute(prefix, "legend_title_orientation", title_orientation_, params);
  105  	setAttribute(prefix, "legend_title_font_size", title_font_size_, params);
  106: 	setAttribute(prefix, "legend_title_position_ratio", title_ratio_, params);
  107  	setAttribute(prefix, "legend_units_text", units_text_, params);
  108  	setAttribute(prefix, "legend_user_minimum", use_min_, params);
  ...
  164  	title_orientation_ = other.title_orientation_;
  165  	title_font_size_ = other.title_font_size_;
  166: 	title_ratio_ = other.title_ratio_;
  167  	units_text_ = other.units_text_;
  168  	use_min_ = other.use_min_;
  ...
  253  	out << " title_orientation = " <<  title_orientation_;
  254  	out << " title_font_size = " <<  title_font_size_;
  255: 	out << " title_ratio = " <<  title_ratio_;
  256  	out << " units_text = " <<  units_text_;
  257  	out << " use_min = " <<  use_min_;
  ...
  319  	niceprint(out,title_font_size_);
  320  	out << ", \"legend_title_position_ratio\":";
  321: 	niceprint(out,title_ratio_);
  322  	out << ", \"legend_units_text\":";
  323  	niceprint(out,units_text_);

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.h:
   57  	string title_orientation_;
   58  	double title_font_size_;
   59: 	double title_ratio_;
   60  	string units_text_;
   61  	bool use_min_;

/Users/sylvie/build/magics/src/params/StreamlinesAttributes.cc:
   32  	thickness_(ParameterManager::getInt("wind_streamline_thickness")),
   33  	head_(ParameterManager::getInt("wind_streamline_head_shape")),
   34: 	ratio_(ParameterManager::getDouble("wind_streamline_head_ratio"))
   35  	,
   36  	colour_(MagTranslator<string, Colour>().magics("wind_streamline_colour")),
   ..
   58  	setAttribute(prefix, "wind_streamline_thickness", thickness_, params);
   59  	setAttribute(prefix, "wind_streamline_head_shape", head_, params);
   60: 	setAttribute(prefix, "wind_streamline_head_ratio", ratio_, params);
   61  	
   62  	setMember(prefix, "wind_streamline_colour", colour_, params);
   ..
   71  	thickness_ = other.thickness_;
   72  	head_ = other.head_;
   73: 	ratio_ = other.ratio_;
   74  	colour_ = unique_ptr<Colour>(other.colour_->clone());
   75  	style_ = other.style_;
   ..
  109  	out << " thickness = " <<  thickness_;
  110  	out << " head = " <<  head_;
  111: 	out << " ratio = " <<  ratio_;
  112  	out << " colour = " <<  *colour_;
  113  	out << " style = " <<  style_;
  ...
  128  	niceprint(out,head_);
  129  	out << ", \"wind_streamline_head_ratio\":";
  130: 	niceprint(out,ratio_);
  131  	out << ", \"wind_streamline_colour\":";
  132  	niceprint(out, *colour_);

/Users/sylvie/build/magics/src/params/StreamlinesAttributes.h:
   56  	int thickness_;
   57  	int head_;
   58: 	double ratio_;
   59  	unique_ptr<Colour> colour_;
   60  	LineStyle style_;

/Users/sylvie/build/magics/src/params/TephiGridAttributes.cc:
   62  	saturated_adiabatic_label_size_(ParameterManager::getDouble("thermo_saturated_adiabatic_label_font_size")),
   63  	saturated_adiabatic_label_frequency_(ParameterManager::getInt("thermo_saturated_adiabatic_label_frequency")),
   64: 	mixing_ratio_(ParameterManager::getBool("thermo_mixing_ratio_grid")),
   65: 	mixing_ratio_thickness_(ParameterManager::getInt("thermo_mixing_ratio_thickness")),
   66: 	mixing_ratio_frequency_(ParameterManager::getInt("thermo_mixing_ratio_frequency")),
   67: 	mixing_ratio_label_font_(ParameterManager::getString("thermo_mixing_ratio_label_font")),
   68: 	mixing_ratio_label_style_(ParameterManager::getString("thermo_mixing_ratio_label_font_style")),
   69: 	mixing_ratio_label_size_(ParameterManager::getDouble("thermo_mixing_ratio_label_font_size")),
   70: 	mixing_ratio_label_frequency_(ParameterManager::getInt("thermo_mixing_ratio_label_frequency"))
   71  	,
   72  	isotherm_colour_(MagTranslator<string, Colour>().magics("thermo_isotherm_colour")),
   ..
   84  	saturated_adiabatic_style_(MagTranslator<string, LineStyle>().magics("thermo_saturated_adiabatic_style")),
   85  	saturated_adiabatic_label_colour_(MagTranslator<string, Colour>().magics("thermo_saturated_adiabatic_label_colour")),
   86: 	mixing_ratio_colour_(MagTranslator<string, Colour>().magics("thermo_mixing_ratio_colour")),
   87: 	mixing_ratio_style_(MagTranslator<string, LineStyle>().magics("thermo_mixing_ratio_style")),
   88: 	mixing_ratio_label_colour_(MagTranslator<string, Colour>().magics("thermo_mixing_ratio_label_colour"))
   89  	 
   90  {
   ..
  138  	setAttribute(prefix, "thermo_saturated_adiabatic_label_font_size", saturated_adiabatic_label_size_, params);
  139  	setAttribute(prefix, "thermo_saturated_adiabatic_label_frequency", saturated_adiabatic_label_frequency_, params);
  140: 	setAttribute(prefix, "thermo_mixing_ratio_grid", mixing_ratio_, params);
  141: 	setAttribute(prefix, "thermo_mixing_ratio_thickness", mixing_ratio_thickness_, params);
  142: 	setAttribute(prefix, "thermo_mixing_ratio_frequency", mixing_ratio_frequency_, params);
  143: 	setAttribute(prefix, "thermo_mixing_ratio_label_font", mixing_ratio_label_font_, params);
  144: 	setAttribute(prefix, "thermo_mixing_ratio_label_font_style", mixing_ratio_label_style_, params);
  145: 	setAttribute(prefix, "thermo_mixing_ratio_label_font_size", mixing_ratio_label_size_, params);
  146: 	setAttribute(prefix, "thermo_mixing_ratio_label_frequency", mixing_ratio_label_frequency_, params);
  147  	
  148  	setMember(prefix, "thermo_isotherm_colour", isotherm_colour_, params);
  ...
  160  	setAttribute(prefix, "thermo_saturated_adiabatic_style", saturated_adiabatic_style_, params);
  161  	setMember(prefix, "thermo_saturated_adiabatic_label_colour", saturated_adiabatic_label_colour_, params);
  162: 	setMember(prefix, "thermo_mixing_ratio_colour", mixing_ratio_colour_, params);
  163: 	setAttribute(prefix, "thermo_mixing_ratio_style", mixing_ratio_style_, params);
  164: 	setMember(prefix, "thermo_mixing_ratio_label_colour", mixing_ratio_label_colour_, params);
  165  	
  166  }
  ...
  202  	saturated_adiabatic_label_size_ = other.saturated_adiabatic_label_size_;
  203  	saturated_adiabatic_label_frequency_ = other.saturated_adiabatic_label_frequency_;
  204: 	mixing_ratio_ = other.mixing_ratio_;
  205: 	mixing_ratio_thickness_ = other.mixing_ratio_thickness_;
  206: 	mixing_ratio_frequency_ = other.mixing_ratio_frequency_;
  207: 	mixing_ratio_label_font_ = other.mixing_ratio_label_font_;
  208: 	mixing_ratio_label_style_ = other.mixing_ratio_label_style_;
  209: 	mixing_ratio_label_size_ = other.mixing_ratio_label_size_;
  210: 	mixing_ratio_label_frequency_ = other.mixing_ratio_label_frequency_;
  211  	isotherm_colour_ = unique_ptr<Colour>(other.isotherm_colour_->clone());
  212  	isotherm_style_ = other.isotherm_style_;
  ...
  223  	saturated_adiabatic_style_ = other.saturated_adiabatic_style_;
  224  	saturated_adiabatic_label_colour_ = unique_ptr<Colour>(other.saturated_adiabatic_label_colour_->clone());
  225: 	mixing_ratio_colour_ = unique_ptr<Colour>(other.mixing_ratio_colour_->clone());
  226: 	mixing_ratio_style_ = other.mixing_ratio_style_;
  227: 	mixing_ratio_label_colour_ = unique_ptr<Colour>(other.mixing_ratio_label_colour_->clone());
  228  	
  229  } 
  ...
  291  	out << " saturated_adiabatic_label_size = " <<  saturated_adiabatic_label_size_;
  292  	out << " saturated_adiabatic_label_frequency = " <<  saturated_adiabatic_label_frequency_;
  293: 	out << " mixing_ratio = " <<  mixing_ratio_;
  294: 	out << " mixing_ratio_thickness = " <<  mixing_ratio_thickness_;
  295: 	out << " mixing_ratio_frequency = " <<  mixing_ratio_frequency_;
  296: 	out << " mixing_ratio_label_font = " <<  mixing_ratio_label_font_;
  297: 	out << " mixing_ratio_label_style = " <<  mixing_ratio_label_style_;
  298: 	out << " mixing_ratio_label_size = " <<  mixing_ratio_label_size_;
  299: 	out << " mixing_ratio_label_frequency = " <<  mixing_ratio_label_frequency_;
  300  	out << " isotherm_colour = " <<  *isotherm_colour_;
  301  	out << " isotherm_style = " <<  isotherm_style_;
  ...
  312  	out << " saturated_adiabatic_style = " <<  saturated_adiabatic_style_;
  313  	out << " saturated_adiabatic_label_colour = " <<  *saturated_adiabatic_label_colour_;
  314: 	out << " mixing_ratio_colour = " <<  *mixing_ratio_colour_;
  315: 	out << " mixing_ratio_style = " <<  mixing_ratio_style_;
  316: 	out << " mixing_ratio_label_colour = " <<  *mixing_ratio_label_colour_;
  317  	
  318  	out << "]" << "\n";
  ...
  390  	out << ", \"thermo_saturated_adiabatic_label_frequency\":";
  391  	niceprint(out,saturated_adiabatic_label_frequency_);
  392: 	out << ", \"thermo_mixing_ratio_grid\":";
  393: 	niceprint(out,mixing_ratio_);
  394: 	out << ", \"thermo_mixing_ratio_thickness\":";
  395: 	niceprint(out,mixing_ratio_thickness_);
  396: 	out << ", \"thermo_mixing_ratio_frequency\":";
  397: 	niceprint(out,mixing_ratio_frequency_);
  398: 	out << ", \"thermo_mixing_ratio_label_font\":";
  399: 	niceprint(out,mixing_ratio_label_font_);
  400: 	out << ", \"thermo_mixing_ratio_label_font_style\":";
  401: 	niceprint(out,mixing_ratio_label_style_);
  402: 	out << ", \"thermo_mixing_ratio_label_font_size\":";
  403: 	niceprint(out,mixing_ratio_label_size_);
  404: 	out << ", \"thermo_mixing_ratio_label_frequency\":";
  405: 	niceprint(out,mixing_ratio_label_frequency_);
  406  	out << ", \"thermo_isotherm_colour\":";
  407  	niceprint(out, *isotherm_colour_);
  ...
  432  	out << ", \"thermo_saturated_adiabatic_label_colour\":";
  433  	niceprint(out, *saturated_adiabatic_label_colour_);
  434: 	out << ", \"thermo_mixing_ratio_colour\":";
  435: 	niceprint(out, *mixing_ratio_colour_);
  436: 	out << ", \"thermo_mixing_ratio_style\":";
  437: 	niceprint(out, mixing_ratio_style_);
  438: 	out << ", \"thermo_mixing_ratio_label_colour\":";
  439: 	niceprint(out, *mixing_ratio_label_colour_);
  440  	
  441  }
  ...
  475  static MagicsParameter<double> thermo_saturated_adiabatic_label_font_size("thermo_saturated_adiabatic_label_font_size", 0.3, "");
  476  static MagicsParameter<int> thermo_saturated_adiabatic_label_frequency("thermo_saturated_adiabatic_label_frequency", 1, "");
  477: static MagicsParameter<string> thermo_mixing_ratio_grid("thermo_mixing_ratio_grid", "on", "");
  478: static MagicsParameter<int> thermo_mixing_ratio_thickness("thermo_mixing_ratio_thickness", 1, "");
  479: static MagicsParameter<int> thermo_mixing_ratio_frequency("thermo_mixing_ratio_frequency", 1, "");
  480: static MagicsParameter<string> thermo_mixing_ratio_label_font("thermo_mixing_ratio_label_font", "helvetica", "");
  481: static MagicsParameter<string> thermo_mixing_ratio_label_font_style("thermo_mixing_ratio_label_font_style", "normal", "");
  482: static MagicsParameter<double> thermo_mixing_ratio_label_font_size("thermo_mixing_ratio_label_font_size", 0.3, "");
  483: static MagicsParameter<int> thermo_mixing_ratio_label_frequency("thermo_mixing_ratio_label_frequency", 1, "");
  484  static MagicsParameter<string> thermo_isotherm_colour("thermo_isotherm_colour", "charcoal", ""); 
  485  static MagicsParameter<string> thermo_isotherm_style("thermo_isotherm_style", "solid", ""); 
  ...
  496  static MagicsParameter<string> thermo_saturated_adiabatic_style("thermo_saturated_adiabatic_style", "solid", ""); 
  497  static MagicsParameter<string> thermo_saturated_adiabatic_label_colour("thermo_saturated_adiabatic_label_colour", "charcoal", ""); 
  498: static MagicsParameter<string> thermo_mixing_ratio_colour("thermo_mixing_ratio_colour", "purple", ""); 
  499: static MagicsParameter<string> thermo_mixing_ratio_style("thermo_mixing_ratio_style", "dash", ""); 
  500: static MagicsParameter<string> thermo_mixing_ratio_label_colour("thermo_mixing_ratio_label_colour", "purple", ""); 
  501  

/Users/sylvie/build/magics/src/params/TephiGridAttributes.h:
   86  	double saturated_adiabatic_label_size_;
   87  	int saturated_adiabatic_label_frequency_;
   88: 	bool mixing_ratio_;
   89: 	int mixing_ratio_thickness_;
   90: 	int mixing_ratio_frequency_;
   91: 	string mixing_ratio_label_font_;
   92: 	string mixing_ratio_label_style_;
   93: 	double mixing_ratio_label_size_;
   94: 	int mixing_ratio_label_frequency_;
   95  	unique_ptr<Colour> isotherm_colour_;
   96  	LineStyle isotherm_style_;
   ..
  107  	LineStyle saturated_adiabatic_style_;
  108  	unique_ptr<Colour> saturated_adiabatic_label_colour_;
  109: 	unique_ptr<Colour> mixing_ratio_colour_;
  110: 	LineStyle mixing_ratio_style_;
  111: 	unique_ptr<Colour> mixing_ratio_label_colour_;
  112  	 
  113  

/Users/sylvie/build/magics/src/params/TextVisitorAttributes.cc:
   85  	real9_(ParameterManager::getDouble("text_real_9")),
   86  	real10_(ParameterManager::getDouble("text_real_10")),
   87: 	height_ratio_1_(ParameterManager::getDouble("text_line_height_ratio_1")),
   88: 	height_ratio_2_(ParameterManager::getDouble("text_line_height_ratio_2")),
   89: 	height_ratio_3_(ParameterManager::getDouble("text_line_height_ratio_3")),
   90: 	height_ratio_4_(ParameterManager::getDouble("text_line_height_ratio_4")),
   91: 	height_ratio_5_(ParameterManager::getDouble("text_line_height_ratio_5")),
   92: 	height_ratio_6_(ParameterManager::getDouble("text_line_height_ratio_6")),
   93: 	height_ratio_7_(ParameterManager::getDouble("text_line_height_ratio_7")),
   94: 	height_ratio_8_(ParameterManager::getDouble("text_line_height_ratio_8")),
   95: 	height_ratio_9_(ParameterManager::getDouble("text_line_height_ratio_9")),
   96: 	height_ratio_10_(ParameterManager::getDouble("text_line_height_ratio_10")),
   97  	parameter_escape_(ParameterManager::getString("text_parameter_escape_character")),
   98  	height_ratios_(ParameterManager::getDoubleArray("text_line_height_ratios"))
   ..
  176  	setAttribute(prefix, "text_real_9", real9_, params);
  177  	setAttribute(prefix, "text_real_10", real10_, params);
  178: 	setAttribute(prefix, "text_line_height_ratio_1", height_ratio_1_, params);
  179: 	setAttribute(prefix, "text_line_height_ratio_2", height_ratio_2_, params);
  180: 	setAttribute(prefix, "text_line_height_ratio_3", height_ratio_3_, params);
  181: 	setAttribute(prefix, "text_line_height_ratio_4", height_ratio_4_, params);
  182: 	setAttribute(prefix, "text_line_height_ratio_5", height_ratio_5_, params);
  183: 	setAttribute(prefix, "text_line_height_ratio_6", height_ratio_6_, params);
  184: 	setAttribute(prefix, "text_line_height_ratio_7", height_ratio_7_, params);
  185: 	setAttribute(prefix, "text_line_height_ratio_8", height_ratio_8_, params);
  186: 	setAttribute(prefix, "text_line_height_ratio_9", height_ratio_9_, params);
  187: 	setAttribute(prefix, "text_line_height_ratio_10", height_ratio_10_, params);
  188  	setAttribute(prefix, "text_parameter_escape_character", parameter_escape_, params);
  189  	setAttribute(prefix, "text_line_height_ratios", height_ratios_, params);
  ...
  255  	real9_ = other.real9_;
  256  	real10_ = other.real10_;
  257: 	height_ratio_1_ = other.height_ratio_1_;
  258: 	height_ratio_2_ = other.height_ratio_2_;
  259: 	height_ratio_3_ = other.height_ratio_3_;
  260: 	height_ratio_4_ = other.height_ratio_4_;
  261: 	height_ratio_5_ = other.height_ratio_5_;
  262: 	height_ratio_6_ = other.height_ratio_6_;
  263: 	height_ratio_7_ = other.height_ratio_7_;
  264: 	height_ratio_8_ = other.height_ratio_8_;
  265: 	height_ratio_9_ = other.height_ratio_9_;
  266: 	height_ratio_10_ = other.height_ratio_10_;
  267  	parameter_escape_ = other.parameter_escape_;
  268  	height_ratios_ = other.height_ratios_;
  ...
  359  	out << " real9 = " <<  real9_;
  360  	out << " real10 = " <<  real10_;
  361: 	out << " height_ratio_1 = " <<  height_ratio_1_;
  362: 	out << " height_ratio_2 = " <<  height_ratio_2_;
  363: 	out << " height_ratio_3 = " <<  height_ratio_3_;
  364: 	out << " height_ratio_4 = " <<  height_ratio_4_;
  365: 	out << " height_ratio_5 = " <<  height_ratio_5_;
  366: 	out << " height_ratio_6 = " <<  height_ratio_6_;
  367: 	out << " height_ratio_7 = " <<  height_ratio_7_;
  368: 	out << " height_ratio_8 = " <<  height_ratio_8_;
  369: 	out << " height_ratio_9 = " <<  height_ratio_9_;
  370: 	out << " height_ratio_10 = " <<  height_ratio_10_;
  371  	out << " parameter_escape = " <<  parameter_escape_;
  372  	out << " height_ratios = " <<  height_ratios_;
  ...
  496  	out << ", \"text_real_10\":";
  497  	niceprint(out,real10_);
  498: 	out << ", \"text_line_height_ratio_1\":";
  499: 	niceprint(out,height_ratio_1_);
  500: 	out << ", \"text_line_height_ratio_2\":";
  501: 	niceprint(out,height_ratio_2_);
  502: 	out << ", \"text_line_height_ratio_3\":";
  503: 	niceprint(out,height_ratio_3_);
  504: 	out << ", \"text_line_height_ratio_4\":";
  505: 	niceprint(out,height_ratio_4_);
  506: 	out << ", \"text_line_height_ratio_5\":";
  507: 	niceprint(out,height_ratio_5_);
  508: 	out << ", \"text_line_height_ratio_6\":";
  509: 	niceprint(out,height_ratio_6_);
  510: 	out << ", \"text_line_height_ratio_7\":";
  511: 	niceprint(out,height_ratio_7_);
  512: 	out << ", \"text_line_height_ratio_8\":";
  513: 	niceprint(out,height_ratio_8_);
  514: 	out << ", \"text_line_height_ratio_9\":";
  515: 	niceprint(out,height_ratio_9_);
  516: 	out << ", \"text_line_height_ratio_10\":";
  517: 	niceprint(out,height_ratio_10_);
  518  	out << ", \"text_parameter_escape_character\":";
  519  	niceprint(out,parameter_escape_);
  ...
  588  static MagicsParameter<double> text_real_9("text_real_9", 0, "");
  589  static MagicsParameter<double> text_real_10("text_real_10", 0, "");
  590: static MagicsParameter<double> text_line_height_ratio_1("text_line_height_ratio_1", 1, "");
  591: static MagicsParameter<double> text_line_height_ratio_2("text_line_height_ratio_2", 1, "");
  592: static MagicsParameter<double> text_line_height_ratio_3("text_line_height_ratio_3", 1, "");
  593: static MagicsParameter<double> text_line_height_ratio_4("text_line_height_ratio_4", 1, "");
  594: static MagicsParameter<double> text_line_height_ratio_5("text_line_height_ratio_5", 1, "");
  595: static MagicsParameter<double> text_line_height_ratio_6("text_line_height_ratio_6", 1, "");
  596: static MagicsParameter<double> text_line_height_ratio_7("text_line_height_ratio_7", 1, "");
  597: static MagicsParameter<double> text_line_height_ratio_8("text_line_height_ratio_8", 1, "");
  598: static MagicsParameter<double> text_line_height_ratio_9("text_line_height_ratio_9", 1, "");
  599: static MagicsParameter<double> text_line_height_ratio_10("text_line_height_ratio_10", 1, "");
  600  static MagicsParameter<string> text_parameter_escape_character("text_parameter_escape_character", "@", "");
  601  static MagicsParameter<doublearray> text_line_height_ratios("text_line_height_ratios", floatarray(), "");

/Users/sylvie/build/magics/src/params/TextVisitorAttributes.h:
  109  	double real9_;
  110  	double real10_;
  111: 	double height_ratio_1_;
  112: 	double height_ratio_2_;
  113: 	double height_ratio_3_;
  114: 	double height_ratio_4_;
  115: 	double height_ratio_5_;
  116: 	double height_ratio_6_;
  117: 	double height_ratio_7_;
  118: 	double height_ratio_8_;
  119: 	double height_ratio_9_;
  120: 	double height_ratio_10_;
  121  	string parameter_escape_;
  122  	doublearray height_ratios_;

346 matches across 22 files


Searching 680 files for "font_size"

/Users/sylvie/git/magics/src/basic/LegendVisitor.cc:
   65      view_height_                         = 90;
   66      positional_                          = false;
   67:     font_size_                           = 0.2;
   68  }
   69  
   ..
  189          Text* legend = new Text();
  190          MagFont font;
  191:         double font_size = (title_font_size_ == -1) ? font_size_ : title_font_size_;
  192:         font.size(font_size);
  193          Colour colour = title_font_colour_->automatic() ? *colour_ : *title_font_colour_;
  194          font.colour(colour);
  ...
  221          entry->width(text_width_);
  222          Text* legend = new Text();
  223:         MagFont font(font_, font_style_, font_size_);
  224          font.colour(*colour_);
  225          entry->font(font);
  ...
 1269      // adjust the font size!...
 1270      Dimension text(font_dimension_, height.absolute(), 10);
 1271:     font_size_ = text.absolute();
 1272  
 1273  
 ....
 1294      // adjust the font size!...
 1295      Dimension text(font_dimension_, box_height_, 10);
 1296:     font_size_ = text.absolute();
 1297      layout_->Layout::frame(blanking_, border_, *border_colour_, border_line_style_, border_thickness_, Colour("white"));
 1298  }
 ....
 1313      LegendVisitor::getReady();
 1314      Dimension text(font_dimension_, 1, 10);
 1315:     font_size_ = text.absolute();
 1316      layout_->Layout::frame(blanking_, border_, *border_colour_, border_line_style_, border_thickness_, Colour("white"));
 1317  }

/Users/sylvie/git/magics/src/basic/LegendVisitor.h:
  387              add(new EmptyEntry());
  388      }
  389:     double getFont_size() const { return font_size_; }
  390      // Layout* execute(AnimationStep& step,  const Layout*);
  391      void visit(BasicGraphicsObjectContainer&);
  ...
  458      double view_width_;
  459      double view_height_;
  460:     double font_size_;
  461  
  462  private:

/Users/sylvie/git/magics/src/basic/TextVisitor.h:
   90  
   91      bool positional_;
   92:     double font_size_;
   93  
   94      static map<string, string> tags_;

/Users/sylvie/build/magics/src/params/CapeBoxAttributes.h:
   57  	double box_thickness_;
   58  	double box_width_;
   59: 	double text_font_size_;
   60  	unique_ptr<Colour> control_colour_;
   61  	unique_ptr<Colour> hres_colour_;

/Users/sylvie/build/magics/src/params/CitiesAttributes.h:
   56  	string font_style_;
   57  	bool blanking_;
   58: 	double font_size_;
   59  	string position_;
   60  	string marker_;

/Users/sylvie/build/magics/src/params/EfiGraphAttributes.h:
   56  	int normal_thickness_;
   57  	string font_;
   58: 	double font_size_;
   59  	string font_style_;
   60  	unique_ptr<Colour> border_colour_;

/Users/sylvie/build/magics/src/params/EpsGraphAttributes.h:
   53  	string tag_;
   54  	string font_;
   55: 	double font_size_;
   56  	string font_style_;
   57  	int box_shift_;
   ..
   62  	string max_font_name_;
   63  	string max_font_style_;
   64: 	double max_font_size_;
   65  	double box_width_;
   66  	bool whisker_;

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.cc:
   31  	title_text_(ParameterManager::getString("legend_title_text")),
   32  	title_orientation_(ParameterManager::getString("legend_title_orientation")),
   33: 	title_font_size_(ParameterManager::getDouble("legend_title_font_size")),
   34  	title_ratio_(ParameterManager::getDouble("legend_title_position_ratio")),
   35  	units_text_(ParameterManager::getString("legend_units_text")),
   ..
   43  	font_(ParameterManager::getString("legend_text_font")),
   44  	font_style_(ParameterManager::getString("legend_text_font_style")),
   45: 	font_dimension_(ParameterManager::getString("legend_text_font_size")),
   46  	text_quality_(ParameterManager::getString("legend_text_quality")),
   47  	orientation_(ParameterManager::getDouble("legend_text_orientation")),
   ..
  103  	setAttribute(prefix, "legend_title_text", title_text_, params);
  104  	setAttribute(prefix, "legend_title_orientation", title_orientation_, params);
  105: 	setAttribute(prefix, "legend_title_font_size", title_font_size_, params);
  106  	setAttribute(prefix, "legend_title_position_ratio", title_ratio_, params);
  107  	setAttribute(prefix, "legend_units_text", units_text_, params);
  ...
  115  	setAttribute(prefix, "legend_text_font", font_, params);
  116  	setAttribute(prefix, "legend_text_font_style", font_style_, params);
  117: 	setAttribute(prefix, "legend_text_font_size", font_dimension_, params);
  118  	setAttribute(prefix, "legend_text_quality", text_quality_, params);
  119  	setAttribute(prefix, "legend_text_orientation", orientation_, params);
  ...
  163  	title_text_ = other.title_text_;
  164  	title_orientation_ = other.title_orientation_;
  165: 	title_font_size_ = other.title_font_size_;
  166  	title_ratio_ = other.title_ratio_;
  167  	units_text_ = other.units_text_;
  ...
  252  	out << " title_text = " <<  title_text_;
  253  	out << " title_orientation = " <<  title_orientation_;
  254: 	out << " title_font_size = " <<  title_font_size_;
  255  	out << " title_ratio = " <<  title_ratio_;
  256  	out << " units_text = " <<  units_text_;
  ...
  316  	out << ", \"legend_title_orientation\":";
  317  	niceprint(out,title_orientation_);
  318: 	out << ", \"legend_title_font_size\":";
  319: 	niceprint(out,title_font_size_);
  320  	out << ", \"legend_title_position_ratio\":";
  321  	niceprint(out,title_ratio_);
  ...
  340  	out << ", \"legend_text_font_style\":";
  341  	niceprint(out,font_style_);
  342: 	out << ", \"legend_text_font_size\":";
  343  	niceprint(out,font_dimension_);
  344  	out << ", \"legend_text_quality\":";
  ...
  424  static MagicsParameter<string> legend_title_text("legend_title_text", "legend", "");
  425  static MagicsParameter<string> legend_title_orientation("legend_title_orientation", "automatic", "");
  426: static MagicsParameter<double> legend_title_font_size("legend_title_font_size", -1, "");
  427  static MagicsParameter<double> legend_title_position_ratio("legend_title_position_ratio", 25, "");
  428  static MagicsParameter<string> legend_units_text("legend_units_text", "", "");
  ...
  436  static MagicsParameter<string> legend_text_font("legend_text_font", "sansserif", "");
  437  static MagicsParameter<string> legend_text_font_style("legend_text_font_style", "normal", "");
  438: static MagicsParameter<string> legend_text_font_size("legend_text_font_size", "0.3", "");
  439  static MagicsParameter<string> legend_text_quality("legend_text_quality", "medium", "");
  440  static MagicsParameter<double> legend_text_orientation("legend_text_orientation", 0, "");

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.h:
   56  	string title_text_;
   57  	string title_orientation_;
   58: 	double title_font_size_;
   59  	double title_ratio_;
   60  	string units_text_;

/Users/sylvie/build/magics/src/params/MagnifierVisitorAttributes.h:
   57  	double hidden_symbol_height_;
   58  	string text_font_name_;
   59: 	double text_font_size_;
   60  	string text_format_;
   61  	unique_ptr<Colour> symbol_colour_;

/Users/sylvie/build/magics/src/params/SymbolAdvancedTableModeAttributes.h:
   72  	stringarray text_list_;
   73  	string text_font_name_;
   74: 	double text_font_size_;
   75  	string text_font_style_;
   76  	string text_display_type_;

/Users/sylvie/build/magics/src/params/SymbolIndividualModeAttributes.h:
   64  	string text_position_;
   65  	string text_font_name_;
   66: 	double text_font_size_;
   67  	string text_font_style_;
   68  	double legend_height_;

40 matches across 12 files


Searching 8 files for "font_size"

/Users/sylvie/git/magics/src/basic/LegendVisitor.cc:
   65      view_height_                         = 90;
   66      positional_                          = false;
   67:     font_size_                           = 0.2;
   68  }
   69  
   ..
  189          Text* legend = new Text();
  190          MagFont font;
  191:         double font_size = (title_font_size_ == -1) ? font_size_ : title_font_size_;
  192:         font.size(font_size);
  193          Colour colour = title_font_colour_->automatic() ? *colour_ : *title_font_colour_;
  194          font.colour(colour);
  ...
  221          entry->width(text_width_);
  222          Text* legend = new Text();
  223:         MagFont font(font_, font_style_, font_size_);
  224          font.colour(*colour_);
  225          entry->font(font);
  ...
 1269      // adjust the font size!...
 1270      Dimension text(font_dimension_, height.absolute(), 10);
 1271:     font_size_ = text.absolute();
 1272  
 1273  
 ....
 1294      // adjust the font size!...
 1295      Dimension text(font_dimension_, box_height_, 10);
 1296:     font_size_ = text.absolute();
 1297      layout_->Layout::frame(blanking_, border_, *border_colour_, border_line_style_, border_thickness_, Colour("white"));
 1298  }
 ....
 1313      LegendVisitor::getReady();
 1314      Dimension text(font_dimension_, 1, 10);
 1315:     font_size_ = text.absolute();
 1316      layout_->Layout::frame(blanking_, border_, *border_colour_, border_line_style_, border_thickness_, Colour("white"));
 1317  }

/Users/sylvie/git/magics/src/basic/LegendVisitor.h:
  387              add(new EmptyEntry());
  388      }
  389:     double getFont_size() const { return font_size_; }
  390      // Layout* execute(AnimationStep& step,  const Layout*);
  391      void visit(BasicGraphicsObjectContainer&);
  ...
  458      double view_width_;
  459      double view_height_;
  460:     double font_size_;
  461  
  462  private:

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.cc:
   31  	title_text_(ParameterManager::getString("legend_title_text")),
   32  	title_orientation_(ParameterManager::getString("legend_title_orientation")),
   33: 	title_font_size_(ParameterManager::getDouble("legend_title_font_size")),
   34  	title_ratio_(ParameterManager::getDouble("legend_title_position_ratio")),
   35  	units_text_(ParameterManager::getString("legend_units_text")),
   ..
   43  	font_(ParameterManager::getString("legend_text_font")),
   44  	font_style_(ParameterManager::getString("legend_text_font_style")),
   45: 	font_dimension_(ParameterManager::getString("legend_text_font_size")),
   46  	text_quality_(ParameterManager::getString("legend_text_quality")),
   47  	orientation_(ParameterManager::getDouble("legend_text_orientation")),
   ..
  103  	setAttribute(prefix, "legend_title_text", title_text_, params);
  104  	setAttribute(prefix, "legend_title_orientation", title_orientation_, params);
  105: 	setAttribute(prefix, "legend_title_font_size", title_font_size_, params);
  106  	setAttribute(prefix, "legend_title_position_ratio", title_ratio_, params);
  107  	setAttribute(prefix, "legend_units_text", units_text_, params);
  ...
  115  	setAttribute(prefix, "legend_text_font", font_, params);
  116  	setAttribute(prefix, "legend_text_font_style", font_style_, params);
  117: 	setAttribute(prefix, "legend_text_font_size", font_dimension_, params);
  118  	setAttribute(prefix, "legend_text_quality", text_quality_, params);
  119  	setAttribute(prefix, "legend_text_orientation", orientation_, params);
  ...
  163  	title_text_ = other.title_text_;
  164  	title_orientation_ = other.title_orientation_;
  165: 	title_font_size_ = other.title_font_size_;
  166  	title_ratio_ = other.title_ratio_;
  167  	units_text_ = other.units_text_;
  ...
  252  	out << " title_text = " <<  title_text_;
  253  	out << " title_orientation = " <<  title_orientation_;
  254: 	out << " title_font_size = " <<  title_font_size_;
  255  	out << " title_ratio = " <<  title_ratio_;
  256  	out << " units_text = " <<  units_text_;
  ...
  316  	out << ", \"legend_title_orientation\":";
  317  	niceprint(out,title_orientation_);
  318: 	out << ", \"legend_title_font_size\":";
  319: 	niceprint(out,title_font_size_);
  320  	out << ", \"legend_title_position_ratio\":";
  321  	niceprint(out,title_ratio_);
  ...
  340  	out << ", \"legend_text_font_style\":";
  341  	niceprint(out,font_style_);
  342: 	out << ", \"legend_text_font_size\":";
  343  	niceprint(out,font_dimension_);
  344  	out << ", \"legend_text_quality\":";
  ...
  424  static MagicsParameter<string> legend_title_text("legend_title_text", "legend", "");
  425  static MagicsParameter<string> legend_title_orientation("legend_title_orientation", "automatic", "");
  426: static MagicsParameter<double> legend_title_font_size("legend_title_font_size", -1, "");
  427  static MagicsParameter<double> legend_title_position_ratio("legend_title_position_ratio", 25, "");
  428  static MagicsParameter<string> legend_units_text("legend_units_text", "", "");
  ...
  436  static MagicsParameter<string> legend_text_font("legend_text_font", "sansserif", "");
  437  static MagicsParameter<string> legend_text_font_style("legend_text_font_style", "normal", "");
  438: static MagicsParameter<string> legend_text_font_size("legend_text_font_size", "0.3", "");
  439  static MagicsParameter<string> legend_text_quality("legend_text_quality", "medium", "");
  440  static MagicsParameter<double> legend_text_orientation("legend_text_orientation", 0, "");

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.h:
   56  	string title_text_;
   57  	string title_orientation_;
   58: 	double title_font_size_;
   59  	double title_ratio_;
   60  	string units_text_;

31 matches across 4 files


Searching 8 files for "font_size"

/Users/sylvie/git/magics/src/basic/LegendVisitor.cc:
   65      view_height_                         = 90;
   66      positional_                          = false;
   67:     font_size_                           = 0.2;
   68  }
   69  
   ..
  189          Text* legend = new Text();
  190          MagFont font;
  191:         double font_size = (title_font_size_ == -1) ? font_size_ : title_font_size_;
  192:         font.size(font_size);
  193          Colour colour = title_font_colour_->automatic() ? *colour_ : *title_font_colour_;
  194          font.colour(colour);
  ...
  221          entry->width(text_width_);
  222          Text* legend = new Text();
  223:         MagFont font(font_, font_style_, font_size_);
  224          font.colour(*colour_);
  225          entry->font(font);
  ...
 1269      // adjust the font size!...
 1270      Dimension text(font_dimension_, height.absolute(), 10);
 1271:     font_size_ = text.absolute();
 1272  
 1273  
 ....
 1294      // adjust the font size!...
 1295      Dimension text(font_dimension_, box_height_, 10);
 1296:     font_size_ = text.absolute();
 1297      layout_->Layout::frame(blanking_, border_, *border_colour_, border_line_style_, border_thickness_, Colour("white"));
 1298  }
 ....
 1313      LegendVisitor::getReady();
 1314      Dimension text(font_dimension_, 1, 10);
 1315:     font_size_ = text.absolute();
 1316      layout_->Layout::frame(blanking_, border_, *border_colour_, border_line_style_, border_thickness_, Colour("white"));
 1317  }

/Users/sylvie/git/magics/src/basic/LegendVisitor.h:
  387              add(new EmptyEntry());
  388      }
  389:     double getFont_size() const { return font_size_; }
  390      // Layout* execute(AnimationStep& step,  const Layout*);
  391      void visit(BasicGraphicsObjectContainer&);
  ...
  458      double view_width_;
  459      double view_height_;
  460:     double font_size_;
  461  
  462  private:

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.cc:
   31  	title_text_(ParameterManager::getString("legend_title_text")),
   32  	title_orientation_(ParameterManager::getString("legend_title_orientation")),
   33: 	title_font_size_(ParameterManager::getDouble("legend_title_font_size")),
   34  	title_ratio_(ParameterManager::getDouble("legend_title_position_ratio")),
   35  	units_text_(ParameterManager::getString("legend_units_text")),
   ..
   43  	font_(ParameterManager::getString("legend_text_font")),
   44  	font_style_(ParameterManager::getString("legend_text_font_style")),
   45: 	font_dimension_(ParameterManager::getString("legend_text_font_size")),
   46  	text_quality_(ParameterManager::getString("legend_text_quality")),
   47  	orientation_(ParameterManager::getDouble("legend_text_orientation")),
   ..
  103  	setAttribute(prefix, "legend_title_text", title_text_, params);
  104  	setAttribute(prefix, "legend_title_orientation", title_orientation_, params);
  105: 	setAttribute(prefix, "legend_title_font_size", title_font_size_, params);
  106  	setAttribute(prefix, "legend_title_position_ratio", title_ratio_, params);
  107  	setAttribute(prefix, "legend_units_text", units_text_, params);
  ...
  115  	setAttribute(prefix, "legend_text_font", font_, params);
  116  	setAttribute(prefix, "legend_text_font_style", font_style_, params);
  117: 	setAttribute(prefix, "legend_text_font_size", font_dimension_, params);
  118  	setAttribute(prefix, "legend_text_quality", text_quality_, params);
  119  	setAttribute(prefix, "legend_text_orientation", orientation_, params);
  ...
  163  	title_text_ = other.title_text_;
  164  	title_orientation_ = other.title_orientation_;
  165: 	title_font_size_ = other.title_font_size_;
  166  	title_ratio_ = other.title_ratio_;
  167  	units_text_ = other.units_text_;
  ...
  252  	out << " title_text = " <<  title_text_;
  253  	out << " title_orientation = " <<  title_orientation_;
  254: 	out << " title_font_size = " <<  title_font_size_;
  255  	out << " title_ratio = " <<  title_ratio_;
  256  	out << " units_text = " <<  units_text_;
  ...
  316  	out << ", \"legend_title_orientation\":";
  317  	niceprint(out,title_orientation_);
  318: 	out << ", \"legend_title_font_size\":";
  319: 	niceprint(out,title_font_size_);
  320  	out << ", \"legend_title_position_ratio\":";
  321  	niceprint(out,title_ratio_);
  ...
  340  	out << ", \"legend_text_font_style\":";
  341  	niceprint(out,font_style_);
  342: 	out << ", \"legend_text_font_size\":";
  343  	niceprint(out,font_dimension_);
  344  	out << ", \"legend_text_quality\":";
  ...
  424  static MagicsParameter<string> legend_title_text("legend_title_text", "legend", "");
  425  static MagicsParameter<string> legend_title_orientation("legend_title_orientation", "automatic", "");
  426: static MagicsParameter<double> legend_title_font_size("legend_title_font_size", -1, "");
  427  static MagicsParameter<double> legend_title_position_ratio("legend_title_position_ratio", 25, "");
  428  static MagicsParameter<string> legend_units_text("legend_units_text", "", "");
  ...
  436  static MagicsParameter<string> legend_text_font("legend_text_font", "sansserif", "");
  437  static MagicsParameter<string> legend_text_font_style("legend_text_font_style", "normal", "");
  438: static MagicsParameter<string> legend_text_font_size("legend_text_font_size", "0.3", "");
  439  static MagicsParameter<string> legend_text_quality("legend_text_quality", "medium", "");
  440  static MagicsParameter<double> legend_text_orientation("legend_text_orientation", 0, "");

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.h:
   56  	string title_text_;
   57  	string title_orientation_;
   58: 	double title_font_size_;
   59  	double title_ratio_;
   60  	string units_text_;

31 matches across 4 files


Searching 8 files for "font_dimension"

/Users/sylvie/git/magics/src/basic/LegendVisitor.cc:
 1268  
 1269      // adjust the font size!...
 1270:     Dimension text(font_dimension_, height.absolute(), 10);
 1271      font_size_ = text.absolute();
 1272  
 ....
 1293  
 1294      // adjust the font size!...
 1295:     Dimension text(font_dimension_, box_height_, 10);
 1296      font_size_ = text.absolute();
 1297      layout_->Layout::frame(blanking_, border_, *border_colour_, border_line_style_, border_thickness_, Colour("white"));
 ....
 1312      MagLog::dev() << "FortranAutomaticTextNode::getReady()" << endl;
 1313      LegendVisitor::getReady();
 1314:     Dimension text(font_dimension_, 1, 10);
 1315      font_size_ = text.absolute();
 1316      layout_->Layout::frame(blanking_, border_, *border_colour_, border_line_style_, border_thickness_, Colour("white"));

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.cc:
   43  	font_(ParameterManager::getString("legend_text_font")),
   44  	font_style_(ParameterManager::getString("legend_text_font_style")),
   45: 	font_dimension_(ParameterManager::getString("legend_text_font_size")),
   46  	text_quality_(ParameterManager::getString("legend_text_quality")),
   47  	orientation_(ParameterManager::getDouble("legend_text_orientation")),
   ..
  115  	setAttribute(prefix, "legend_text_font", font_, params);
  116  	setAttribute(prefix, "legend_text_font_style", font_style_, params);
  117: 	setAttribute(prefix, "legend_text_font_size", font_dimension_, params);
  118  	setAttribute(prefix, "legend_text_quality", text_quality_, params);
  119  	setAttribute(prefix, "legend_text_orientation", orientation_, params);
  ...
  175  	font_ = other.font_;
  176  	font_style_ = other.font_style_;
  177: 	font_dimension_ = other.font_dimension_;
  178  	text_quality_ = other.text_quality_;
  179  	orientation_ = other.orientation_;
  ...
  264  	out << " font = " <<  font_;
  265  	out << " font_style = " <<  font_style_;
  266: 	out << " font_dimension = " <<  font_dimension_;
  267  	out << " text_quality = " <<  text_quality_;
  268  	out << " orientation = " <<  orientation_;
  ...
  341  	niceprint(out,font_style_);
  342  	out << ", \"legend_text_font_size\":";
  343: 	niceprint(out,font_dimension_);
  344  	out << ", \"legend_text_quality\":";
  345  	niceprint(out,text_quality_);

/Users/sylvie/build/magics/src/params/LegendVisitorAttributes.h:
   68  	string font_;
   69  	string font_style_;
   70: 	string font_dimension_;
   71  	string text_quality_;
   72  	double orientation_;

11 matches across 3 files


Searching 8 files for "frequency"

/Users/sylvie/git/magics/src/visualisers/LegendMethod.cc:
   57  void ContinuousLegendMethod::row(LegendEntry& entry, double x, double y, Text& legend,
   58                                   BasicGraphicsObjectContainer& task) {
   59:     if (labelCount_ % label_frequency_ != 0)
   60          entry.notext();
   61      PaperPoint middle(x, y);
   62      entry.rowBox(middle, task);
   63:     if (labelCount_ % label_frequency_ == 0)
   64          if (entry.needContinuousText(legend)) {
   65              middle.y_ -= 0.5;
   ..
   72  void ContinuousLegendMethod::column(LegendEntry& entry, double x, double y, Text& legend,
   73                                      BasicGraphicsObjectContainer& task) {
   74:     if (labelCount_ % label_frequency_ != 0)
   75          entry.notext();
   76      entry.columnBox(PaperPoint(x, y), task);
   77:     if (labelCount_ % label_frequency_ == 0)
   78  
   79          if (entry.needContinuousText(legend)) {
   ..
   83  }
   84  void HistogramLegendMethod::row(LegendEntry& entry, double x, double y, Text&, BasicGraphicsObjectContainer& out) {
   85:     if (labelCount_ % label_frequency_ != 0)
   86          entry.notext();
   87      PaperPoint middle(x, y);
   ..
   95  
   96  void HistogramLegendMethod::column(LegendEntry& entry, double x, double y, Text&, BasicGraphicsObjectContainer& out) {
   97:     if (labelCount_ % label_frequency_ != 0)
   98          entry.notext();
   99      PaperPoint middle(x, y);

6 matches in 1 file


Searching 301 files for "frequency"

/Users/sylvie/git/magics/src/params/Axis.xml:
  176           		<documentation> Plot tick labels (ON/OFF) 		</documentation>
  177    		  		<set name="axis_tick_label_type" value="on">		</set>
  178:   		  		<set name="axis_tick_label_frequency" value="on">		</set>
  179    		  		<set name="axis_tick_label_first" value="on">		</set>
  180    		  		<set name="axis_tick_label_last" value="on">		</set>   		 
  ...
  195    	</parameter>
  196    
  197:   	<parameter member="label_frequency" to="int" default="1" from="int" name="axis_tick_label_frequency">
  198           		<documentation> Label every nth tick mark 		</documentation>
  199    	</parameter>

/Users/sylvie/git/magics/src/params/ContinuousLegendMethod.xml:
   12  <class inherits="LegendMethod" name="ContinuousLegendMethod" used_by="Legend" directory="visualisers" action="legend" include="LegendMethod.h" doc_inherits="no">
   13  
   14: 	<parameter member="label_frequency" to="int" default="1" from="int" name="legend_label_frequency">
   15:          			<documentation>Frequency of the labels. 		</documentation>
   16  	</parameter>
   17  

/Users/sylvie/git/magics/src/params/HistogramLegendMethod.xml:
   11  <magics>
   12  <class inherits="LegendMethod" name="HistogramLegendMethod" used_by="Legend" directory="visualisers" action="legend" include="LegendMethod.h" doc_inherits="no">
   13: 		<parameter member="label_frequency" to="int" default="1" from="int" name="legend_label_frequency">
   14:          			<documentation> Frequency of the labels. 		</documentation>
   15     	</parameter>
   16     	<parameter member="histo_border" to="bool" default="on" from="string" name="legend_histogram_border">

/Users/sylvie/git/magics/src/params/ImagePlotting.xml:
   42    	</parameter>
   43  
   44:     	<parameter member="pixelFrequency" to="int" default="10" from="int" name="image_pixel_selection_frequency">
   45           		<documentation> Number of pixels/centimetre to be plotted 
   46   		</documentation>

/Users/sylvie/git/magics/src/params/IsoHighlight.xml:
   34    	</parameter>
   35  
   36:   	<parameter priority="0.2" from="int" name="contour_highlight_frequency" default="4" member="frequency" to="int">
   37           		<release>Magics++0.2		</release>
   38:          		<documentation> Frequency of highlight line 		</documentation>
   39:          		<migration> New Magics: Parameter contour_highlight_frequency sent to new Magics[Contour].  		</migration>
   40    	</parameter>
   41  </class></magics>

/Users/sylvie/git/magics/src/params/IsoLabel.xml:
   74    	</parameter>
   75  
   76:   	<parameter member="frequency" to="int" default="2" from="int" name="contour_label_frequency">
   77           		<documentation> Every Nth contour line is labelled 		</documentation>
   78:          		<migration> New Magics: Parameter contour_label_frequency sent to new Magics[IsoLabel].  		</migration>
   79           		<release>Magics++0.4		</release>
   80           

/Users/sylvie/git/magics/src/params/LabelPlotting.xml:
   40         	</parameter>
   41         
   42:         	<parameter member="latFrequency" to="int" default="1" from="int" name="map_label_latitude_frequency">
   43              		<documentation>
   44              Evry Nth latitue grid is labelled
   ..
   46              		<release>Magics++0.1		</release>
   47         	</parameter>
   48:         	<parameter member="lonFrequency" to="int" default="1" from="int" name="map_label_longitude_frequency">
   49              		<documentation>
   50              Evry Nth longitude grid is labelled

/Users/sylvie/git/magics/src/params/MetgramFlags.xml:
   17              		<documentation> Colour of Flag  		</documentation>
   18          	</parameter>
   19:         	<parameter member="frequency" to="int" default="1" from="int" name="metgram_flag_frequency">           
   20:             		<documentation> Frequency to plot the flags  		</documentation>
   21          	</parameter>
   22          	<parameter member="method" to="string" default="SD" from="string" name="metgram_flag_method">           

/Users/sylvie/git/magics/src/params/TephiGrid.xml:
   32             		<set name="thermo_isotherm_label_font_style" value="on">		</set>
   33             		<set name="thermo_isotherm_label_font_size" value="on">		</set>
   34:            		<set name="thermo_isotherm_label_frequency" value="on">		</set>
   35          	</parameter>  
   36       	<parameter member="isotherm_colour" to="Colour" default="charcoal" from="string" name="thermo_isotherm_colour">
   ..
  108          	</parameter>  
  109         
  110:          	<parameter member="isotherm_label_frequency" to="int" default="1" from="int" name="thermo_isotherm_label_frequency">
  111              		<documentation>
  112:              Isotherm frequency for labelling
  113             		</documentation>
  114             		<release>Magics++2.20		</release> 
  ...
  130             		<set name="thermo_isobar_label_font_size" value="on">		</set>
  131             		<set name="thermo_isobar_label_reference" value="on">		</set>
  132:            		<set name="thermo_isobar_label_frequency" value="on">		</set>
  133          	</parameter>  
  134       	<parameter member="isobar_colour" to="Colour" default="evergreen" from="string" name="thermo_isobar_colour">
  ...
  189          	</parameter>  
  190          
  191:          	<parameter member="isobar_label_frequency" to="int" default="1" from="int" name="thermo_isobar_label_frequency">
  192              		<documentation>
  193:              isobar frequency for labelling
  194             		</documentation>
  195             		<release>Magics++2.20		</release> 
  ...
  209             		<set name="thermo_dry_adiabatic_label_font_style" value="on">		</set>
  210             		<set name="thermo_dry_adiabatic_label_font_size" value="on">		</set>
  211:            		<set name="thermo_dry_adiabatic_label_frequency" value="on">		</set>
  212          	</parameter>  
  213       	<parameter member="dry_adiabatic_colour" to="Colour" default="charcoal" from="string" name="thermo_dry_adiabatic_colour">
  ...
  268          	</parameter>  
  269          
  270:          	<parameter member="dry_adiabatic_label_frequency" to="int" default="1" from="int" name="thermo_dry_adiabatic_label_frequency">
  271              		<documentation>
  272:               frequency for dry_adiabatic labelling
  273             		</documentation>
  274             		<release>Magics++2.20		</release> 
  ...
  289             		<set name="thermo_saturated_adiabatic_label_font_style" value="on">		</set>
  290             		<set name="thermo_saturated_adiabatic_label_font_size" value="on">		</set>
  291:            		<set name="thermo_saturated_adiabatic_label_frequency" value="on">		</set>
  292          	</parameter>  
  293       	<parameter member="saturated_adiabatic_colour" to="Colour" default="charcoal" from="string" name="thermo_saturated_adiabatic_colour">
  ...
  348          	</parameter>  
  349          
  350:          	<parameter member="saturated_adiabatic_label_frequency" to="int" default="1" from="int" name="thermo_saturated_adiabatic_label_frequency">
  351              		<documentation>
  352:              saturated_adiabatic frequency for labelling
  353             		</documentation>
  354             		<release>Magics++2.20		</release> 
  ...
  366             		<set name="thermo_mixing_ratio_label_font_style" value="on">		</set>
  367             		<set name="thermo_mixing_ratio_label_font_size" value="on">		</set>
  368:            		<set name="thermo_mixing_ratio_label_frequency" value="on">		</set>
  369             
  370            
  ...
  391          	</parameter>   
  392         
  393:          	<parameter member="mixing_ratio_frequency" to="int" default="1" from="int" name="thermo_mixing_ratio_frequency">
  394              		<documentation>
  395:              mixing_ratio frequency for grid
  396             		</documentation>
  397             		<release>Magics++2.20		</release> 
  ...
  422          	</parameter>  
  423        
  424:          	<parameter member="mixing_ratio_label_frequency" to="int" default="1" from="int" name="thermo_mixing_ratio_label_frequency">
  425              		<documentation>
  426:              mixing_ratio frequency for labelling
  427             		</documentation>
  428             		<release>Magics++2.20		</release> 

/Users/sylvie/git/magics/src/params/ValuePlotMethod.xml:
   22  	</parameter>
   23  
   24: 	<parameter from="int" name="contour_grid_value_lat_frequency" default="1" doc_class="ValuePlot" member="lat_frequency" to="int">
   25           		<documentation> The grid point values in every Nth latitude row are plotted 		</documentation>
   26           		<release>0.2		</release>
   27  	</parameter>
   28  
   29: 	<parameter from="int" name="contour_grid_value_lon_frequency" default="1" doc_class="ValuePlot" member="lon_frequency" to="int">
   30           		<documentation> The grid point values in every Nth longitude column are plotted 		</documentation>
   31           		<release>0.2		</release>

/Users/sylvie/git/magics/src/params/Wind.xml:
   23   	<parameter from="string" name="wind_thinning_method" visible="false" default="data" member="thinning_method" to="string" values="data/user">
   24           		<documentation> Method to control the thinning: 
   25:          data : wind_thinning_factor will determine the frequency as before 
   26           user : wind_thining_factor will determine the minimal distance in user coordinates betvween 2 winds. 
   27           the default is "data" for backward compatibility.

53 matches across 11 files


Searching 555 files for "mtile"

0 matches

Searching 555 files for "catch"

/Users/sylvie/git/magics/apps/MagMLInterpretor/json.cc:
   58  } //end of namespace magml
   59  
   60: void catch_alarm(int)
   61  {
   62      printf("MagPlus ERROR: Operation timed out. Exiting...\n");
   ..
   88              MagLog::info() << "Time out armed for " << timeout << endl;
   89  #ifndef MAGICS_ON_WINDOWS
   90:             signal(SIGALRM, catch_alarm);
   91              alarm(timeout);
   92  #endif
   ..
   96  #endif
   97  		}
   98: 		catch (...) {
   99  			std::cout << argv[0] << " FAILED to dispatch JSON file!"<< endl;
  100  			exit(1);
  ...
  102  	}
  103      }
  104:     catch (MagicsException& e)
  105      {
  106: 		std::cout << "MagJson: Catch Exception " << e << endl;
  107  		exit(1);
  108      }
  ...
  122              WebInterpretor::json(line);
  123          }
  124: 		catch (...) {
  125  			std::cout << argv[0] << " FAILED to dispatch JSON file!"<< endl;
  126              cout << "CODE 1" << endl << flush;

/Users/sylvie/git/magics/apps/MagMLInterpretor/magml.cc:
   70  } //end of namespace magml
   71  
   72: void catch_alarm(int)
   73  {
   74  	printf("MagPlus ERROR: Operation timed out. Exiting...\n");
   ..
  106  		int timeout = (out == WebInterpretor::parameters().end() ) ? 0 : tonumber(out->second);
  107  		MagLog::info() << "Time out armed for " << timeout << endl; 
  108: 		signal(SIGALRM, catch_alarm);
  109  		alarm(timeout); 
  110  		WebInterpretor::magml(argv[1]);
  111  		alarm(0);
  112  	}
  113: 	catch (...) {
  114  		abort();
  115  	}
  116  	}
  117    }
  118:   catch (MagicsException& e)
  119    {
  120  	printf("MagPlus ERROR: Fatal!\n");

/Users/sylvie/git/magics/apps/metgram/metgramx.cc:
   32  			manager_.execute(xml);
   33  		}
   34: 		catch(MagicsException& e)
   35  		{
   36  			MagLog::error() << e << endl;    
   ..
  204  			magics_.execute(file.name());
  205  		}
  206: 		catch (exception e) {}
  207  	}
  208      }
  ...
  252          reader.interpret(xml, &tree);
  253      }
  254:     catch (...)
  255      {
  256          cerr << "metgram : error interpreting file " << xml << "\n";

/Users/sylvie/git/magics/src/basic/FortranMagics.cc:
  168          }
  169      }
  170:     catch (MagicsException e) {
  171          MagLog::error() << "Errors reported:" << e.what() << " - No plot produced  " << endl;
  172          MagLog::error().flush();
  ...
 1059          }
 1060      }
 1061:     catch (MagicsException& e) {
 1062          MagLog::error() << e << "\n";
 1063      }

/Users/sylvie/git/magics/src/basic/TagHandler.cc:
  374          in.close();
  375      }
  376:     catch (...) {
  377          MagLog::warning() << "Cannot find entities declaration : " << path << " [Ignore them]" << endl;
  378      }

/Users/sylvie/git/magics/src/basic/XmlMagics.cc:
  163              tree.visit(*this);
  164          }
  165:         catch (MagicsException& e) {
  166              MagLog::debug() << e.what() << endl;
  167          }
  ...
  216          execute(tree);
  217      }
  218:     catch (MagicsException& e) {
  219          MagLog::debug() << e.what() << endl;
  220      }
  ...
  229          tree.visit(*this);
  230      }
  231:     catch (MagicsException& e) {
  232          MagLog::debug() << e.what() << endl;
  233      }

/Users/sylvie/git/magics/src/common/Colour.cc:
   72          setColour(name);
   73      }
   74:     catch (BadHslFormat& e) {
   75          name_ = "red";
   76          rgb_  = Rgb(1., 0., 0., 1.);
   ..
   83          setColour(xml.data());
   84      }
   85:     catch (BadHslFormat& e) {
   86          name_ = "red";
   87          rgb_  = Rgb(1., 0., 0., 1.);
   ..
  147              rgb_ = (*colour).second;
  148      }
  149:     catch (...) {
  150          MagLog::warning() << " Invalid colour name " << name << ". Red used.\n";
  151          name_ = "red";
  ...
  288          colour.setColour(name);
  289      }
  290:     catch (BadHslFormat& e) {
  291          return false;
  292      }

/Users/sylvie/git/magics/src/common/ColourTableDefinitionList.cc:
   51              MagLog::dev() << "add colour---" << colour->name() << "\n";
   52          }
   53:         catch (NoFactoryException& e) {
   54          }
   55      }

/Users/sylvie/git/magics/src/common/MagClipper.cc:
   56          clipper.Execute(ClipperLib::ctIntersection, solution, ClipperLib::pftNonZero, ClipperLib::pftNonZero);
   57      }
   58:     catch (...) {
   59          cout << "ERROR" << endl;
   60      }
   ..
  129              clipper.Execute(ClipperLib::ctIntersection, solution, ClipperLib::pftNonZero, ClipperLib::pftNonZero);
  130          }
  131:         catch (...) {
  132          }
  133  
  ...
  167          }
  168      }
  169:     catch (...) {
  170      }
  171  }
  ...
  189          clipper.Execute(ClipperLib::ctUnion, solution, ClipperLib::pftNonZero, ClipperLib::pftNonZero);
  190      }
  191:     catch (...) {
  192          cout << "ADD ARRIOR " << endl;
  193      }

/Users/sylvie/git/magics/src/common/MagicsCalls.cc:
 1037          ParameterManager::set(string(name, namel), val);
 1038      }
 1039:     catch (MagicsException& e) {
 1040          MagLog::error() << e << "\n";
 1041      }
 ....
 1048          ParameterManager::set(string(name, namel), int(*value));
 1049      }
 1050:     catch (MagicsException& e) {
 1051          (void)e;  // prevent 'unreferenced local variable' compiler warning
 1052          double fvalue = *value;
 ....
 1060          mag_set1i(n.c_str(), data, *dim);
 1061      }
 1062:     catch (MagicsException& e) {
 1063          (void)e;
 1064          int s          = *dim;
 ....
 1077      }
 1078  
 1079:     catch (MagicsException& e) {
 1080          (void)e;
 1081          int dim        = *dim1 * *dim2;
 ....
 1116          ParameterManager::set(n, values);
 1117      }
 1118:     catch (MagicsException& e) {
 1119          MagLog::error() << e << "\n";
 1120      }
 ....
 1251              magics();                    \
 1252          }                                \
 1253:         catch (exception e) {            \
 1254              return e.what();             \
 1255          }                                \
 ....
 1261              return magics();             \
 1262          }                                \
 1263:         catch (exception e) {            \
 1264              return e.what();             \
 1265          }                                \
 ....
 1442          mag_new(page);
 1443      }
 1444:     catch (exception e) {
 1445          return e.what();
 1446      }
 ....
 1456          mag_reset(name);
 1457      }
 1458:     catch (exception e) {
 1459          return e.what();
 1460      }
 ....
 1470          mag_setc(name, value);
 1471      }
 1472:     catch (exception e) {
 1473          return e.what();
 1474      }
 ....
 1487          mag_setr(name, value);
 1488      }
 1489:     catch (exception e) {
 1490          return e.what();
 1491      }
 ....
 1505          mag_seti(name, value);
 1506      }
 1507:     catch (exception e) {
 1508          return e.what();
 1509      }
 ....
 1528          mag_set1r(name, data, dim1);
 1529      }
 1530:     catch (exception e) {
 1531          return e.what();
 1532      }
 ....
 1545          ParameterManager::set(n, values);
 1546      }
 1547:     catch (MagicsException& e) {
 1548          MagLog::error() << e << "\n";
 1549      }
 ....
 1554          mag_set2r(name, data, dim1, dim2);
 1555      }
 1556:     catch (exception e) {
 1557          return e.what();
 1558      }
 ....
 1574          ParameterManager::set(param, matrix);
 1575      }
 1576:     catch (MagicsException& e) {
 1577          MagLog::error() << e << "\n";
 1578      }
 ....
 1588          mag_set1i(name, data, dim1);
 1589      }
 1590:     catch (exception e) {
 1591          return e.what();
 1592      }
 ....
 1605          ParameterManager::set(param, values);
 1606      }
 1607:     catch (MagicsException& e) {
 1608          MagLog::error() << e << "\n";
 1609      }
 ....
 1614          mag_set2i(name, data, dim1, dim2);
 1615      }
 1616:     catch (exception e) {
 1617          return e.what();
 1618      }
 ....
 1632          ParameterManager::set(param, matrix);
 1633      }
 1634:     catch (MagicsException& e) {
 1635          MagLog::error() << e << "\n";
 1636      }
 ....
 1646          mag_set1c(name, data, dim1);
 1647      }
 1648:     catch (exception e) {
 1649          return e.what();
 1650      }
 ....
 1674          ParameterManager::set(param, values);
 1675      }
 1676:     catch (MagicsException& e) {
 1677          MagLog::error() << e << "\n";
 1678      }

/Users/sylvie/git/magics/src/common/MagicsThreads.cc:
   67                        << "\n";
   68      }
   69:     catch (MagException& e) {
   70          MagLog::error() << e.what() << "\n";
   71      }

/Users/sylvie/git/magics/src/common/Matrix.cc:
  446  
  447  double Matrix::operator()(int row, int column) const {
  448:     // Here for perfrormance we are trusting the user we do not catch MagException
  449  
  450      double val = (*this)[row * columns_ + column];

/Users/sylvie/git/magics/src/common/MetaData.cc:
   91      }
   92  
   93:     catch (...) {
   94      }
   95  
   ..
  104              out.close();
  105          }
  106:         catch (...) {
  107          }
  108      }
  ...
  126              out.close();
  127          }
  128:         catch (...) {
  129          }
  130      }
  ...
  149              out.close();
  150          }
  151:         catch (...) {
  152          }
  153      }
  ...
  167              out.close();
  168          }
  169:         catch (...) {
  170          }
  171      }
  ...
  181              in.close();
  182          }
  183:         catch (...) {
  184              ofstream out(efi_.c_str());
  185              out << " Could not opened " << path << endl;

/Users/sylvie/git/magics/src/common/OutputHandler.cc:
   60          factories_.push_back(factory);
   61      }
   62:     catch (...) {
   63      }
   64  }

/Users/sylvie/git/magics/src/common/ThreadControler.cc:
  113          proc->run();
  114      }
  115:     catch (MagException& e) {
  116          magics::MagLog::error() << "** " << e.what() << " Caught in " << here << endl;
  117  #ifndef MAGICS_ON_WINDOWS
  ...
  122  #endif
  123      }
  124:     catch (...) {
  125          magics::MagLog::error() << "** UNKNOWN MagException Caught in " << here << endl;
  126  #ifndef MAGICS_ON_WINDOWS

/Users/sylvie/git/magics/src/decoders/BoxPlotDecoder.cc:
   77              x_.push_back(transformation.x(*x));
   78      }
   79:     catch (...) {
   80      }
   81  }

/Users/sylvie/git/magics/src/decoders/ClassicMtgDecoder.cc:
  480          parameter_ = SimpleFactory<MetgramParameter>::create(param_);
  481      }
  482:     catch (NoFactoryException& e) {
  483          // The data do not know how to verify the criter ....
  484          MagLog::warning() << "Eps Data access: parameter [" << param_ << "] unknown\n";

/Users/sylvie/git/magics/src/decoders/EpsgramDecoder.cc:
 1206          decode();
 1207      }
 1208:     catch (...) {
 1209          return;  // no data..
 1210      }
 ....
 1233          parameter_ = SimpleFactory<EpsParameter>::create(param_);
 1234      }
 1235:     catch (NoFactoryException& e) {
 1236          parameter_ = new EpsParameter(param_, param_title_, param_);
 1237      }
 ....
 1564              prefix++;
 1565          }
 1566:         catch (...) {
 1567              date_ = lastdate;
 1568              time_ = lasttime;
 ....
 1588              values.push_back(parameter_->maxx_);
 1589          }
 1590:         catch (...) {
 1591              MagLog::info() << " No Clim" << endl;
 1592          }
 ....
 1660          decode();
 1661      }
 1662:     catch (...) {
 1663          return;
 1664      }
 ....
 1704          decode();
 1705      }
 1706:     catch (...) {
 1707          return;
 1708      }

/Users/sylvie/git/magics/src/decoders/EpsXmlInput.cc:
   66          tree.visit(*this);
   67      }
   68:     catch (MagicsException& e) {
   69          MagLog::debug() << e.what() << endl;
   70      }

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.cc:
  348          in.close();
  349      }
  350:     catch (...) {
  351          MagLog::error() << "Geopoints file : can not open " << path_ << endl;
  352      }
  ...
  400          in.close();
  401      }
  402:     catch (...) {
  403          MagLog::error() << "Geopoints file : can not open " << path_ << endl;
  404      }

/Users/sylvie/git/magics/src/decoders/GribDecoder.cc:
  321          interpretor_->scaling(*this, *matrix);
  322      }
  323:     catch (NoFactoryException&) {
  324          ostringstream msg;
  325          msg << "Grib Decoder - read: Representation [" << representation << "] not supported";
  ...
  345          interpretor_->scaling(*this, *matrix);
  346      }
  347:     catch (NoFactoryException&) {
  348          MagLog::error() << "Grib Decoder - read: Representation [" << representation << "] not supported.\n"
  349                          << std::endl;
  ...
  421          interpretor_->keepOriginal(true);
  422      }
  423:     catch (NoFactoryException&) {
  424          MagLog::warning() << "Grib Decoder: Vector cobination of representations [" << representation
  425                            << "] not supported.\n"
  ...
  470          customisedPoints(transformation, points, xstep, ystep, 0);
  471      }
  472:     catch (NoFactoryException&) {
  473          MagLog::error() << "Grib Decoder - customisedPoints: Representation [" << representation << "] not supported.\n"
  474                          << std::endl;
  ...
  687          customisedPoints(transformation, points, gap * thinning.factor(), gap * thinning.factor(), gap);
  688      }
  689:     catch (NoFactoryException&) {
  690          MagLog::error() << "Grib Decoder- customisedPoints: Representation [" << representation << "] not supported.\n"
  691                          << std::endl;
  ...
  874              interpretor_->scaling(*this, scaling, offset);
  875          }
  876:         catch (NoFactoryException&) {
  877              MagLog::warning() << "Grib Decoder: Representation [" << representation << "] not supported.\n"
  878                                << std::endl;
  ...
 1308              tree.visit(*this);
 1309          }
 1310:         catch (MagicsException& e) {
 1311              MagLog::debug() << e.what() << endl;
 1312          }
 ....
 1359      for (int i = 0; i < nb; i++) {
 1360          if (nearHandle) {
 1361:             // TODO: Should really catch the error (return value) from grib_nearest_find
 1362              grib_nearest_find(nearHandle, field_, inlats[i], inlons[i], GRIB_NEAREST_SAME_GRID, outlats4, outlons4,
 1363                                outvals4, outdist4, outindexes, &len);
 ....
 1410          interpretor_->scaling(*this, scaling, offset, oriUnits, derivedUnits);
 1411      }
 1412:     catch (NoFactoryException&) {
 1413          MagLog::warning() << "Grib Decoder: Representation [" << representation << "] not supported.\n" << std::endl;
 1414          ;
 ....
 1612                          }
 1613                      }
 1614:                     catch (NoFactoryException&) {
 1615                          MagLog::warning() << "Grib Decoder: Representation [" << representation << "] not supported.\n"
 1616                                            << std::endl;
 ....
 1666      }
 1667  
 1668:     catch (...) {
 1669      }
 1670  }
 ....
 1796      }
 1797  
 1798:     catch (NoFactoryException&) {
 1799          MagLog::error() << "Grib Decoder: Raster representation [" << representation << "] not supported.\n";
 1800          throw MagicsException("Grib Decoder: Raster representation [] not supported.");

/Users/sylvie/git/magics/src/decoders/GribRegularInterpretor.cc:
  503      }
  504  
  505:     catch (...) {
  506          throw MagicsException("GribRegularInterpretor - Not enough memory");
  507      }
  ...
  617          u->missing(missing);
  618      }
  619:     catch (...) {
  620          throw MagicsException("GribRegularInterpretor - Not enough memory");
  621      }
  ...
 1474          rotated->setMapsAxis();
 1475      }
 1476:     catch (MagicsException& e) {
 1477          MagLog::error() << e << "\n";
 1478      }
 ....
 1589          matrix->missing(missing);
 1590      }
 1591:     catch (...) {
 1592          throw MagicsException("GribRegularInterpretor - Not enough memory");
 1593      }
 ....
 1847      }
 1848  
 1849:     catch (MagicsException& e) {
 1850          MagLog::error() << e << "\n";
 1851      }

/Users/sylvie/git/magics/src/decoders/InputData.cc:
  256              x_.push_back(transformation.x(*x));
  257      }
  258:     catch (...) {
  259      }
  260      try {
  ...
  262              y_.push_back(transformation.y(*y));
  263      }
  264:     catch (...) {
  265      }
  266  }
  ...
  336          }
  337      }
  338:     catch (...) {
  339      }
  340  }

/Users/sylvie/git/magics/src/decoders/LandgramDecoder.cc:
  101          tree.visit(*this);
  102      }
  103:     catch (MagicsException& e) {
  104          MagLog::debug() << e.what() << endl;
  105      }

/Users/sylvie/git/magics/src/decoders/MagDateTime.cc:
  138          loc = locale("");
  139      }
  140:     catch (...) {
  141          MagLog::info() << "Problem to setup the locale\n"
  142                         << "Check your LANG variable - current value: " << getEnvVariable("LANG") << endl;

/Users/sylvie/git/magics/src/decoders/MapGenDecoder.cc:
   73          in.close();
   74      }
   75:     catch (...) {
   76          MagLog::error() << "MapGen file : can not open " << path_ << endl;
   77      }

/Users/sylvie/git/magics/src/decoders/NetcdfData.cc:
  288          return tostring(diff);
  289      }
  290:     catch (exception) {
  291          return val;
  292      }

/Users/sylvie/git/magics/src/decoders/NetcdfDecoder.cc:
   64          }
   65      }
   66:     catch (...) {
   67      }
   68  }
   ..
  110          (*interpretor_).visit(values, points_);
  111      }
  112:     catch (...) {
  113          valid_ = false;
  114      }
  ...
  120          (*interpretor_).visit(text);
  121      }
  122:     catch (...) {
  123          valid_ = false;
  124      }

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.cc:
  122          matrix_->setMapsAxis();
  123      }
  124:     catch (MagicsException& e) {
  125          MagLog::error() << e << "\n";
  126          delete matrix_;
  ...
  204          MagLog::dev() << "everything ok" << endl;
  205      }
  206:     catch (MagicsException& e) {
  207          MagLog::error() << e << "\n";
  208          return false;
  ...
  306          MagLog::dev() << "everything ok" << endl;
  307      }
  308:     catch (MagicsException& e) {
  309          MagLog::error() << e << "\n";
  310      }

/Users/sylvie/git/magics/src/decoders/NetcdfGeopointsInterpretor.cc:
   41          netcdf.get(name, values, first, last);
   42      }
   43:     catch (...) {
   44          int dim = netcdf.getDimension(name);
   45          for (int i = 0; i < dim; ++i)
   ..
   95          }
   96      }
   97:     catch (MagicsException& e) {
   98          MagLog::error() << e << "\n";
   99          return false;
  ...
  146          }
  147      }
  148:     catch (MagicsException& e) {
  149          MagLog::error() << e << "\n";
  150          return false;
  ...
  272          }
  273      }
  274:     catch (MagicsException& e) {
  275          MagLog::error() << e << "\n";
  276          return false;
  ...
  341          }
  342      }
  343:     catch (MagicsException& e) {
  344          MagLog::error() << e << "\n";
  345          return false;
  ...
  381          }
  382      }
  383:     catch (...) {
  384      }
  385  }
  ...
  455              }
  456          }
  457:         catch (...) {
  458          }
  459  

/Users/sylvie/git/magics/src/decoders/NetcdfInterpretor.cc:
  252          }
  253      }
  254:     catch (...) {
  255      }
  256  }
  ...
  308          tree.visit(*this);
  309      }
  310:     catch (MagicsException& e) {
  311          MagLog::debug() << e.what() << endl;
  312      }

/Users/sylvie/git/magics/src/decoders/NetcdfMatrixInterpretor.cc:
  121          MagLog::dev() << *matrix_ << "\n";
  122      }
  123:     catch (MagicsException& e) {
  124          MagLog::error() << e << "\n";
  125          delete matrix_;
  ...
  156              cf_date(netcdf, x_, refDateX_, baseDateX_, columns_, dateColumns_);
  157      }
  158:     catch (...) {
  159          try {
  160              int x = netcdf.getDimension(x_);
  ...
  166                  columns_.push_back(i);
  167          }
  168:         catch (...) {
  169              MagLog::warning() << "No valid X dimension.." << endl;
  170              throw MagicsException("Could not find any X axis");
  ...
  193          }
  194      }
  195:     catch (...) {
  196          throw MagicsException("Could not find any X axis");
  197      }
  ...
  214              cf_date(netcdf, y_, refDateY_, baseDateY_, rows_, dateRows_);
  215      }
  216:     catch (...) {
  217          try {
  218              int y = netcdf.getDimension(y_);
  ...
  225                  rows_.push_back(i);
  226          }
  227:         catch (...) {
  228              MagLog::warning() << "No valid Y dimension.." << endl;
  229              throw MagicsException("Could not find any Y axis");
  ...
  251          }
  252      }
  253:     catch (...) {
  254          throw MagicsException("Could not find any X axis");
  255      }
  ...
  304          }
  305      }
  306:     catch (...) {
  307          throw MagicsException("Could not find any X axis");
  308      }

/Users/sylvie/git/magics/src/decoders/NetcdfOrcaInterpretor.cc:
  226      }
  227  
  228:     catch (MagicsException& e) {
  229          MagLog::error() << e << "\n";
  230          return false;
  ...
  271      }
  272  
  273:     catch (MagicsException& e) {
  274          MagLog::error() << e << "\n";
  275      }
  ...
  304      }
  305  
  306:     catch (MagicsException& e) {
  307          MagLog::error() << e << "\n";
  308      }

/Users/sylvie/git/magics/src/decoders/NetcdfVectorInterpretor.cc:
   83          }
   84      }
   85:     catch (MagicsException& e) {
   86          MagLog::error() << e << "\n";
   87      }
   ..
  136          }
  137      }
  138:     catch (MagicsException& e) {
  139          MagLog::error() << e << "\n";
  140      }
  ...
  235          */
  236      }
  237:     catch (MagicsException& e) {
  238          MagLog::error() << e << "\n";
  239      }

/Users/sylvie/git/magics/src/decoders/ObsDecoder.cc:
  621              }
  622          }
  623:         catch (NoFactoryException) {
  624          }
  625  
  ...
  658              accessors.insert(make_pair(*token, accessor));
  659          }
  660:         catch (NoFactoryException&) {
  661              BufrAccessor* accessor = new BufrAccessor(*token);
  662              accessors.insert(make_pair(*token, accessor));

/Users/sylvie/git/magics/src/decoders/ShapeDecoder.cc:
  126          DBFClose(hDBF);
  127      }
  128:     catch (...) {
  129          MagLog::error() << "Can not open Shapefile " << path_ << endl;
  130      }
  ...
  302          DBFClose(hDBF);
  303      }
  304:     catch (...) {
  305          MagLog::error() << "Can not open Shapefile " << path_ << endl;
  306      }
  ...
  454          SHPClose(hSHP);
  455      }
  456:     catch (std::exception e) {
  457          MagLog::error() << "Can not open Shapefile " << path_ << endl;
  458      }

/Users/sylvie/git/magics/src/decoders/TableDecoder.cc:
  390          }
  391  
  392:     catch (...) {}
  393      try {
  394          for ( vector<string>::const_iterator y = date_y_.begin(); y != date_y_.end(); ++y )
  395              y_.push_back(transformation.y(*y));
  396      }
  397:     catch (...) {}
  398      */
  399  }
  ...
  444          }
  445      }
  446:     catch (...) {
  447      }
  448  }

/Users/sylvie/git/magics/src/decoders/ThinningMethod.cc:
   51      }
   52  
   53:     catch (...) {
   54          data.customisedPoints(transformation, request, points, false);
   55      }
   ..
   63      }
   64  
   65:     catch (...) {
   66          data.customisedPoints(transformation, request, points, false);
   67      }

/Users/sylvie/git/magics/src/decoders/TileDecoder.cc:
  200          cout << *lat << " ";
  201      }
  202:     catch () {
  203          cout << "ERROR"  << endl;
  204      }

/Users/sylvie/git/magics/src/decoders/TitleTemplate.cc:
  154                  return false;
  155          }
  156:         catch (NoFactoryException& e) {  // The data do not know how to verify the criter ....
  157              MagLog::warning() << "Can Not Create the MatchCriteria for " << criter->first << "\n";
  158              return false;

/Users/sylvie/git/magics/src/decoders/XYList.cc:
  190          }
  191      }
  192:     catch (...) {
  193      }
  194      try {
  ...
  209          }
  210      }
  211:     catch (...) {
  212      }
  213  
  ...
  229          }
  230      }
  231:     catch (...) {
  232      }
  233      try {
  ...
  248          }
  249      }
  250:     catch (...) {
  251      }
  252  
  ...
  255              x_upper_.push_back(transformation.x(*x));
  256      }
  257:     catch (...) {
  258      }
  259      try {
  ...
  261              y_upper_.push_back(transformation.y(*y));
  262      }
  263:     catch (...) {
  264      }
  265  
  ...
  268              x_lower_.push_back(transformation.x(*x));
  269      }
  270:     catch (...) {
  271      }
  272      try {
  ...
  274              y_lower_.push_back(transformation.y(*y));
  275      }
  276:     catch (...) {
  277      }
  278  }
  ...
  293          }
  294      }
  295:     catch (...) {
  296      }
  297  }

/Users/sylvie/git/magics/src/eckit_readers/MvObs.cc:
  380      }
  381  
  382:     catch (...) {
  383          deleteDataArrays();
  384  
  ...
 1074              std::cout << " fillBufrBox: array myCBOXU created" << std::endl;
 1075          }
 1076:         catch (...) {
 1077              std::cout << " >>> fillBufrBox: problems in creating fort arrays <<<" << std::endl;
 1078              delete myKBOXR;
 ....
 1494              Out_CVALS = new char[MAX_KVALS * 80];
 1495          }
 1496:         catch (...) {
 1497              delete[] Out_VALUES;  //-- (I)
 1498              delete[] Out_CVALS;   //-- (II)

/Users/sylvie/git/magics/src/libMagWrapper/MagPlus.cc:
 1777          MetaDataVisitor::collect();
 1778      }
 1779:     catch (MagicsException& e) {
 1780          /*! \todo Why is this MagMagException empty???  */
 1781          MagLog::error() << "Something went really wrong!" << e << endl;

/Users/sylvie/git/magics/src/oda/OdaDecoder.cc:
  149              computeStats();
  150          }
  151:         catch (exception e) {
  152              MagLog::error() << "Failed to read ODB data: " << e.what();
  153              return;
  ...
  240          MagLog::info() << "Number of rows: " << row << endl;
  241      }
  242:     catch (exception e) {
  243          MagLog::error() << "Failed to read ODB data: " << e.what();
  244          return;
  ...
  357          MagLog::info() << "Number of rows: " << row << endl;
  358      }
  359:     catch (exception e) {
  360          MagLog::error() << "Failed to read ODB data: " << e.what();
  361          return;
  ...
  456          MagLog::info() << "Number of rows: " << row << endl;
  457      }
  458:     catch (exception e) {
  459          MagLog::error() << "Failed to read ODB data: " << e.what();
  460          return;
  ...
  750          MagLog::info() << "Number of rows: " << row << endl;
  751      }
  752:     catch (exception e) {
  753          MagLog::error() << "Failed to read ODB data: " << e.what();
  754          return;
  ...
  824          MagLog::info() << "Number of rows: " << row << endl;
  825      }
  826:     catch (exception e) {
  827          MagLog::error() << "Failed to read ODB data: " << e.what();
  828          return;
  ...
  904          MagLog::info() << "Number of rows: " << row << endl;
  905      }
  906:     catch (exception e) {
  907          MagLog::error() << "Failed to read ODB data: " << e.what();
  908          return;
  ...
  963          MagLog::info() << "Number of rows: " << row << endl;
  964      }
  965:     catch (exception e) {
  966          MagLog::error() << "Failed to read ODB data: " << e.what();
  967          return;

/Users/sylvie/git/magics/src/visualisers/Contour.cc:
  188          delete box;
  189      }
  190:     catch (MagicsException& e) {
  191          throw e;  // forwarding exception
  192      }

/Users/sylvie/git/magics/src/visualisers/Histogram.cc:
   58              count->second++;
   59          }
   60:         catch (...) {
   61              // MagLog::debug() <<  points.current().value() << " is not in range..." << endl;
   62          }

/Users/sylvie/git/magics/src/visualisers/ObsPlotting.cc:
   52              obs.visit(needs);
   53          }
   54:         catch (std::exception&) {
   55              MagLog::warning() << " Magics++ has no observation template for: " << type->second << "\n"
   56                                << " Please contact the Graphic team.\n";
   ..
   77              }
   78          }
   79:         catch (std::exception&) {
   80          }
   81      }

/Users/sylvie/git/magics/src/visualisers/ObsTable.cc:
  107              current_->push_back(obs);
  108          }
  109:         catch (NoFactoryException&) {
  110              MagLog::dev() << "can not find ObsItem for : " << tag << "\n";
  111          }

/Users/sylvie/git/magics/src/visualisers/SymbolMode.cc:
  204          return true;
  205      }
  206:     catch (...) {
  207          return false;
  208      }

/Users/sylvie/git/magics/src/visualisers/SymbolPlotting.cc:
   97          symbol->push_back(point, value);
   98      }
   99:     catch (...) {
  100      }
  101  }
  ...
  183          }
  184      }
  185:     catch (MagicsException&) {
  186          // do nothing!
  187      }

/Users/sylvie/git/magics/src/visualisers/Wind.cc:
   57          method = MagTranslator<string, ThinningMethod>()(this->thinning_method_);
   58      }
   59:     catch (...) {
   60      }
   61      if (!method)

/Users/sylvie/git/magics/src/web/GeoJSon.cc:
  400          dig(value);
  401      }
  402:     catch (std::exception e) {
  403          MagLog::error() << "Could not processed the file: " << path_ << ": " << e.what() << endl;
  404          abort();

/Users/sylvie/git/magics/src/web/MagConfig.cc:
   51          }
   52      }
   53:     catch (json_spirit::Error_position e) {
   54          MagLog::error() << "JSON error in file: " << config << ": " << e.reason_ << "[line: " << e.line_
   55                          << ", column: " << e.column_ << "]" << endl;
   ..
  483          }
  484      }
  485:     catch (json_spirit::Error_position e) {
  486          MagLog::error() << "JSON error in" << definitions_ << ": " << e.reason_ << "[line: " << e.line_
  487                          << ", column: " << e.column_ << "]" << endl;

/Users/sylvie/git/magics/src/web/ObsJSon.cc:
   76          }
   77      }
   78:     catch (std::exception e) {
   79          MagLog::error() << "Could not processed the file: " << path_ << ": " << e.what() << endl;
   80      }

/Users/sylvie/git/magics/src/web/WrepJSon.cc:
 1014          }
 1015      }
 1016:     catch (std::exception e) {
 1017          MagLog::error() << "Could not processed the file: " << file_ << ": " << e.what() << endl;
 1018          // abort();

172 matches across 55 files


Searching 555 files for "setDimension"

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.cc:
   82          double missing_value = netcdf.getMissing(field_, missing_attribute_);
   83          map<string, string> first, last;
   84:         setDimensions(dimension_, first, last);
   85          vector<double> inlon, outlon;
   86          vector<double> inlat, outlat;
   ..
  180          vector<double> values;
  181          map<string, string> first, last;
  182:         setDimensions(dimension_, first, last);
  183          double missing_value = netcdf.getMissing(field_, missing_attribute_);
  184  
  ...
  266          vector<double> colcomponent;
  267          map<string, string> first, last;
  268:         setDimensions(dimension_, first, last);
  269          double missing_x = netcdf.getMissing(x_component_, missing_attribute_);
  270          double missing_y = netcdf.getMissing(y_component_, missing_attribute_);

/Users/sylvie/git/magics/src/decoders/NetcdfGeopointsInterpretor.cc:
   58          vector<double> values;
   59          map<string, string> first, last;
   60:         setDimensions(dimension_, first, last);
   61  
   62          netcdf.get(field_, values, first, last);
   ..
  110          vector<double> values;
  111          map<string, string> first, last;
  112:         setDimensions(dimension_, first, last);
  113  
  114          netcdf.get(field_, values, first, last);
  ...
  242          vector<double> values;
  243          map<string, string> first, last;
  244:         setDimensions(dimension_, first, last);
  245  
  246          if (field_.empty() == false) {
  ...
  293          vector<double> values;
  294          map<string, string> first, last;
  295:         setDimensions(dimension_, first, last);
  296          if (field_.empty() == false) {
  297              netcdf.get(field_, values, first, last);

/Users/sylvie/git/magics/src/decoders/NetcdfInterpretor.cc:
   69  }
   70  
   71: void NetcdfInterpretor::setDimensions(const stringarray& value, map<string, string>& first, map<string, string>& last) {
   72      first.clear();
   73      last.clear();

/Users/sylvie/git/magics/src/decoders/NetcdfMatrixInterpretor.cc:
   70  
   71          map<string, string> first, last;
   72:         setDimensions(dimension_, first, last);
   73          vector<double> rows    = dateRows_.empty() ? rows_ : dateRows_;
   74          vector<double> columns = dateColumns_.empty() ? columns_ : dateColumns_;
   ..
   93              index++;
   94  
   95:             setDimensions(dims, first, last);
   96              vector<double> data;
   97              netcdf.get(field_, data, first, last);
   ..
  148      Netcdf netcdf(path_, dimension_method_);
  149      map<string, string> first, last;
  150:     setDimensions(dimension_, first, last);
  151  
  152      try {
  ...
  206      Netcdf netcdf(path_, dimension_method_);
  207      map<string, string> first, last;
  208:     setDimensions(dimension_, first, last);
  209      try {
  210          netcdf.get(y_, rows_, first, last);

/Users/sylvie/git/magics/src/decoders/NetcdfOrcaInterpretor.cc:
   62          Timer time("orca", "decode");
   63          map<string, string> first, last;
   64:         setDimensions(dimension_, first, last);
   65  
   66  
   ..
  242          Netcdf netcdf(path_, dimension_method_);
  243          map<string, string> first, last;
  244:         setDimensions(dimension_, first, last);
  245          double missing = netcdf.getMissing(field_, missing_attribute_);
  246          vector<double> latm;
  ...
  283          Netcdf netcdf(path_, dimension_method_);
  284          map<string, string> first, last;
  285:         setDimensions(dimension_, first, last);
  286          double missing = netcdf.getMissing(field_, missing_attribute_);
  287          vector<double> latitudes;

/Users/sylvie/git/magics/src/decoders/NetcdfVectorInterpretor.cc:
   65          vector<double> y_component;
   66          map<string, string> first, last;
   67:         setDimensions(dimension_, first, last);
   68  
   69          netcdf.get(x_component_, x_component, first, last);
   ..
   97          vector<double> y_component;
   98          map<string, string> first, last;
   99:         setDimensions(dimension_, first, last);
  100  
  101          netcdf.get(x_component_, x_component, first, last);
  ...
  189          vector<double> direction;
  190          map<string, string> first, last;
  191:         setDimensions(dimension_, first, last);
  192  
  193          netcdf.get(speed_, speed, first, last);

/Users/sylvie/git/magics/src/drivers/BaseDriver.cc:
  637  
  638  */
  639: void BaseDriver::setDimensionsFromBinary(string mbg_tmpl, MFloat& ratio, int& width) const {
  640      ifstream in(mbg_tmpl.c_str());
  641      if (in.is_open()) {

/Users/sylvie/git/magics/src/drivers/CairoDriver.cc:
   91      string mbg_tmpl = mgb_template_;
   92      if (!mbg_tmpl.empty()) {
   93:         setDimensionsFromBinary(mbg_tmpl, ratio, width);
   94      }
   95  

/Users/sylvie/git/magics/src/drivers/GDDriver.cc:
   90      int width       = width_;
   91      if (!mbg_tmpl.empty()) {
   92:         setDimensionsFromBinary(mbg_tmpl, ratio, width);
   93      }
   94      setCMscale(MFloat(width) / getXDeviceLength());

/Users/sylvie/git/magics/src/drivers/PostScriptDriver.cc:
  181  
  182      if (!mbg_tmpl.empty()) {
  183:         setDimensionsFromBinary(mbg_tmpl, ratio, width);
  184          setCMscale(35.);
  185          resolution  = 80.;  // dpi for web
  ...
 1472  
 1473      if (!mbg_tmpl.empty()) {
 1474:         setDimensionsFromBinary(mbg_tmpl, ratio, width);
 1475          dimensionX  = width;
 1476          dimensionY  = maground(width * ratio);

/Users/sylvie/git/magics/src/drivers/SVGDriver.cc:
   85      string mbg_tmpl = mgb_template_;
   86      if (!mbg_tmpl.empty()) {
   87:         setDimensionsFromBinary(mbg_tmpl, ratio, wid);
   88      }
   89  

24 matches across 11 files


Searching 555 files for "::setDimension"

/Users/sylvie/git/magics/src/decoders/NetcdfInterpretor.cc:
   69  }
   70  
   71: void NetcdfInterpretor::setDimensions(const stringarray& value, map<string, string>& first, map<string, string>& last) {
   72      first.clear();
   73      last.clear();

/Users/sylvie/git/magics/src/drivers/BaseDriver.cc:
  637  
  638  */
  639: void BaseDriver::setDimensionsFromBinary(string mbg_tmpl, MFloat& ratio, int& width) const {
  640      ifstream in(mbg_tmpl.c_str());
  641      if (in.is_open()) {

2 matches across 2 files


Searching 21 files for "first"

/Users/sylvie/git/magics/src/decoders/NetcdfData.cc:
  140      parent_(netcdf),
  141      name_(name),
  142:     first_(0),
  143      index_(index),
  144      variable_(variable) {
  ...
  169  }
  170  
  171: void NetDimension::first(const string& val) {
  172:     first_ = (magCompare(method_, "value")) ? value(val) : index(val);
  173  }
  174  
  ...
  176  void NetDimension::last(const string& val) {
  177      int last = (magCompare(method_, "value")) ? value(val) : index(val);
  178:     if (last < first_) {
  179:         MagLog::warning() << "last position (" + val + ") < first position: exchange "
  180                            << "\n";
  181:         int tmp = first_;
  182:         first_  = last;
  183          last    = tmp;
  184      }
  185:     dim_ = last - first_ + 1;
  186  }
  187  
  ...
  294  
  295  int NetVariable::find(const string& value) {
  296:     // First , is the variable a time variable:
  297      string val = interpretTime(value);
  298  
  ...
  359          vector<string> values = check->second;
  360          for (vector<string>::iterator dim = dimensions.begin(); dim != dimensions.end(); ++dim) {
  361:             string value = getVariable(*dim).getAttribute(check->first, string(""));
  362  
  363              for (vector<string>::iterator v = values.begin(); v != values.end(); ++v) {

/Users/sylvie/git/magics/src/decoders/NetcdfDecoder.cc:
   72  
   73      for (map<string, string>::iterator info = infos.begin(); info != infos.end(); ++info)
   74:         info->second = data.get(info->first, info->second);
   75  }
   76  void NetcdfDecoder::visit(MetaDataCollector& mdc) {
   77      bool interpretorCalled = false;
   78      for (map<string, string>::iterator key = mdc.begin(); key != mdc.end(); ++key) {
   79:         if (information_.find(key->first) == information_.end() && !interpretorCalled) {
   80              MetaDataCollector mdcInt;
   81              (*interpretor_).visit(mdcInt);
   82              for (map<string, string>::iterator keyInt = mdcInt.begin(); keyInt != mdcInt.end(); ++keyInt) {
   83:                 setInfo(keyInt->first, keyInt->second);
   84              }
   85              interpretorCalled = true;
   ..
   88  
   89      for (map<string, string>::iterator key = mdc.begin(); key != mdc.end(); ++key) {
   90:         if (information_.find(key->first) == information_.end() &&
   91:             mdc.attribute(key->first).group() == MetaDataAttribute::StatsGroup) {
   92              (*interpretor_).statsData(stats_);
   93              computeStats();

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.cc:
   69          settings.askId(needs);
   70          for (auto need = needs.begin(); need != needs.end(); ++need) {
   71:             need->second = getAttribute(field_, need->first, "");
   72:             // cout << need->first << "--->" << need->second << endl;
   73          }
   74  
   ..
   81      try {
   82          double missing_value = netcdf.getMissing(field_, missing_attribute_);
   83:         map<string, string> first, last;
   84:         setDimensions(dimension_, first, last);
   85          vector<double> inlon, outlon;
   86          vector<double> inlat, outlat;
   87  
   88:         netcdf.get(longitude_, matrix_->columnsAxis(), first, last);
   89:         netcdf.get(latitude_, matrix_->rowsAxis(), first, last);
   90  
   91          matrix_->missing(missing_value);
   ..
   93          if (magCompare(primary_index_, "latitude")) {
   94              vector<double> data;
   95:             netcdf.get(field_, data, first, last);
   96              int columns = matrix_->columnsAxis().size();
   97              int rows    = matrix_->rowsAxis().size();
   ..
  104              Timer timer("CREATE matrix", "prepare");
  105              vector<double> data;
  106:             netcdf.get(field_, data, first, last);
  107              matrix_->reserve(data.size());
  108              int i = 0;
  ...
  179          vector<double> longitudes;
  180          vector<double> values;
  181:         map<string, string> first, last;
  182:         setDimensions(dimension_, first, last);
  183          double missing_value = netcdf.getMissing(field_, missing_attribute_);
  184  
  185:         netcdf.get(field_, values, first, last);
  186:         netcdf.get(longitude_, longitudes, first, last);
  187:         netcdf.get(latitude_, latitudes, first, last);
  188          unsigned int val = 0;
  189  
  ...
  265          vector<double> ycomponent;
  266          vector<double> colcomponent;
  267:         map<string, string> first, last;
  268:         setDimensions(dimension_, first, last);
  269          double missing_x = netcdf.getMissing(x_component_, missing_attribute_);
  270          double missing_y = netcdf.getMissing(y_component_, missing_attribute_);
  271  
  272:         netcdf.get(x_component_, xcomponent, first, last);
  273:         netcdf.get(y_component_, ycomponent, first, last);
  274          if (!colour_component_.empty())
  275:             netcdf.get(colour_component_, colcomponent, first, last);
  276:         netcdf.get(longitude_, longitudes, first, last);
  277:         netcdf.get(latitude_, latitudes, first, last);
  278          unsigned int val = 0;
  279  

/Users/sylvie/git/magics/src/decoders/NetcdfGeopointsInterpretor.cc:
   36  
   37  
   38: static void setDim(Netcdf& netcdf, const string& name, vector<double>& values, map<string, string>& first,
   39                     map<string, string>& last) {
   40      try {
   41:         netcdf.get(name, values, first, last);
   42      }
   43      catch (...) {
   ..
   57          vector<double> longitudes;
   58          vector<double> values;
   59:         map<string, string> first, last;
   60:         setDimensions(dimension_, first, last);
   61  
   62:         netcdf.get(field_, values, first, last);
   63:         setDim(netcdf, longitude_, longitudes, first, last);
   64:         setDim(netcdf, latitude_, latitudes, first, last);
   65  
   66          vector<double>::iterator lat       = latitudes.begin();
   ..
  109          vector<double> longitudes;
  110          vector<double> values;
  111:         map<string, string> first, last;
  112:         setDimensions(dimension_, first, last);
  113  
  114:         netcdf.get(field_, values, first, last);
  115:         setDim(netcdf, longitude_, longitudes, first, last);
  116:         setDim(netcdf, latitude_, latitudes, first, last);
  117  
  118          vector<double>::iterator lat       = latitudes.begin();
  ...
  241          vector<double> ys;
  242          vector<double> values;
  243:         map<string, string> first, last;
  244:         setDimensions(dimension_, first, last);
  245  
  246          if (field_.empty() == false) {
  247:             netcdf.get(field_, values, first, last);
  248          }
  249:         setDim(netcdf, x_, xs, first, last);
  250:         setDim(netcdf, y_, ys, first, last);
  251  
  252          double xmissing = netcdf.getMissing(x_, missing_attribute_);
  ...
  292          vector<double> xs, datex;
  293          vector<double> values;
  294:         map<string, string> first, last;
  295:         setDimensions(dimension_, first, last);
  296          if (field_.empty() == false) {
  297:             netcdf.get(field_, values, first, last);
  298          }
  299:         setDim(netcdf, x_, xs, first, last);
  300:         setDim(netcdf, y_, ys, first, last);
  301  
  302          double xmissing = netcdf.getMissing(x_, missing_attribute_);
  ...
  330          vector<double> x2s;
  331  
  332:         setDim(netcdf, x2_, x2s, first, last);
  333:         setDim(netcdf, y2_, y2s, first, last);
  334  
  335          vector<double>::reverse_iterator x2 = x2s.rbegin();

/Users/sylvie/git/magics/src/decoders/NetcdfInterpretor.cc:
   69  }
   70  
   71: void NetcdfInterpretor::setDimensions(const stringarray& value, map<string, string>& first, map<string, string>& last) {
   72:     first.clear();
   73      last.clear();
   74  
   ..
   81          switch (tokens.size()) {
   82              case 2:  // param/from/from
   83:                 first[tokens[0]] = tokens[1];
   84                  last[tokens[0]]  = tokens[1];
   85                  break;
   86              case 3:  // param/from/to
   87:                 first[tokens[0]] = tokens[1];
   88                  last[tokens[0]]  = tokens[2];
   89                  break;
   ..
   98  
   99      if (time_variable_.size() && time_dimension_.size()) {
  100:         first[time_variable_] = time_dimension_;
  101          last[time_variable_]  = time_dimension_;
  102      }
  ...
  104      // Special case for the number !
  105      if (number_variable_.size() && number_dimension_.size()) {
  106:         first[number_variable_] = number_dimension_;
  107          last[number_variable_]  = number_dimension_;
  108      }
  ...
  110      // Special case for the level !
  111      if (level_variable_.size() && level_dimension_.size()) {
  112:         first[level_variable_] = level_dimension_;
  113          last[level_variable_]  = level_dimension_;
  114      }
  ...
  236      try {
  237          NetVariable var = nc.getVariable(varName);
  238:         bool first      = true;
  239          for (map<string, NetAttribute>::iterator it = var.attributes_.begin(); it != var.attributes_.end(); it++) {
  240              string val;
  ...
  242  
  243  
  244:             if (!first) {
  245                  keys += "/";
  246                  values += "/";
  247              }
  248:             first = false;
  249  
  250:             keys += it->first;
  251              values += val;
  252          }
  ...
  315  void NetcdfGuessInterpretor::visit(MetaDataCollector& info) {
  316      for (MetaDataCollector::iterator key = info.begin(); key != info.end(); ++key) {
  317:         key->second = getAttribute(field_, key->first, "");
  318:         // cout << "Netcdf Attributes " << key->first << "--->" << key->second << endl;
  319      }
  320      guess()->visit(info);

/Users/sylvie/git/magics/src/decoders/NetcdfMatrixInterpretor.cc:
   69  
   70  
   71:         map<string, string> first, last;
   72:         setDimensions(dimension_, first, last);
   73          vector<double> rows    = dateRows_.empty() ? rows_ : dateRows_;
   74          vector<double> columns = dateColumns_.empty() ? columns_ : dateColumns_;
   ..
   93              index++;
   94  
   95:             setDimensions(dims, first, last);
   96              vector<double> data;
   97:             netcdf.get(field_, data, first, last);
   98              for (vector<double>::iterator d = data.begin(); d != data.end(); d++) {
   99                  matrix_->push_back(*d);
  ...
  147  
  148      Netcdf netcdf(path_, dimension_method_);
  149:     map<string, string> first, last;
  150:     setDimensions(dimension_, first, last);
  151  
  152      try {
  153:         netcdf.get(x_, columns_, first, last);
  154          baseDateX_ = "";
  155          if (!reference_date(netcdf, x_, refDateX_, baseDateX_, columns_, dateColumns_))
  ...
  177          vector<double> aux;
  178  
  179:         netcdf.get(aux_x_, aux, first, last);
  180          if (!aux.empty()) {
  181              // small check to make sure that we do not have problem :
  ...
  205  
  206      Netcdf netcdf(path_, dimension_method_);
  207:     map<string, string> first, last;
  208:     setDimensions(dimension_, first, last);
  209      try {
  210:         netcdf.get(y_, rows_, first, last);
  211  
  212          baseDateY_ = "";
  ...
  235      try {
  236          vector<double> aux;
  237:         netcdf.get(aux_y_, aux, first, last);
  238          if (!aux.empty()) {
  239              ostringstream geominy, geomaxy;

/Users/sylvie/git/magics/src/decoders/NetcdfOrcaInterpretor.cc:
   61      try {
   62          Timer time("orca", "decode");
   63:         map<string, string> first, last;
   64:         setDimensions(dimension_, first, last);
   65  
   66  
   ..
   73          vector<double> data;
   74  
   75:         netcdf.get(longitude_, lonm, first, last);
   76:         netcdf.get(latitude_, latm, first, last);
   77:         netcdf.get(field_, data, first, last);
   78  
   79          double minlat = *std::min_element(latm.begin(), latm.end());
   ..
  175                      ;
  176                      for (map<double, pair<int, int> >::iterator lit = llow; lit != lup; ++lit) {
  177:                         double lat                = it->first;
  178:                         double lon                = lit->first;
  179                          std::pair<int, int> index = lit->second;
  180  
  ...
  210                          if (std::isnan(val))
  211                              val = missing;
  212:                         if ((*matrix)[index.second + (index.first * im)] == missing)
  213:                             (*matrix)[index.second + (index.first * im)] = val;
  214                      }
  215                      matrix->multiply(scaling_);
  ...
  241          MagLog::dev() << " Netcdf File Path --->" << path_ << "\n";
  242          Netcdf netcdf(path_, dimension_method_);
  243:         map<string, string> first, last;
  244:         setDimensions(dimension_, first, last);
  245          double missing = netcdf.getMissing(field_, missing_attribute_);
  246          vector<double> latm;
  ...
  248          vector<double> data;
  249  
  250:         netcdf.get(longitude_, lonm, first, last);
  251:         netcdf.get(latitude_, latm, first, last);
  252:         netcdf.get(field_, data, first, last);
  253  
  254          vector<double>::iterator lat = latm.begin();
  ...
  282          MagLog::dev() << " Netcdf File Path --->" << path_ << "\n";
  283          Netcdf netcdf(path_, dimension_method_);
  284:         map<string, string> first, last;
  285:         setDimensions(dimension_, first, last);
  286          double missing = netcdf.getMissing(field_, missing_attribute_);
  287          vector<double> latitudes;
  ...
  289          vector<double> x_component, y_component;
  290  
  291:         netcdf.get(longitude_, longitudes, first, last);
  292:         netcdf.get(latitude_, latitudes, first, last);
  293:         netcdf.get(x_component_, x_component, first, last);
  294:         netcdf.get(y_component_, y_component, first, last);
  295  
  296          for (int ind = 0; ind < latitudes.size(); ind += thinning) {

/Users/sylvie/git/magics/src/decoders/NetcdfVectorInterpretor.cc:
   64          vector<double> x_component;
   65          vector<double> y_component;
   66:         map<string, string> first, last;
   67:         setDimensions(dimension_, first, last);
   68  
   69:         netcdf.get(x_component_, x_component, first, last);
   70:         netcdf.get(y_component_, y_component, first, last);
   71:         netcdf.get(x_, x, first, last);
   72:         netcdf.get(y_, y, first, last);
   73  
   74          // here we assume that the 4 verctors have the same size
   ..
   96          vector<double> x_component;
   97          vector<double> y_component;
   98:         map<string, string> first, last;
   99:         setDimensions(dimension_, first, last);
  100  
  101:         netcdf.get(x_component_, x_component, first, last);
  102:         netcdf.get(y_component_, y_component, first, last);
  103:         netcdf.get(longitude_, longitudes, first, last);
  104:         netcdf.get(latitude_, latitudes, first, last);
  105  
  106          vector<double>::iterator lat = latitudes.begin();
  ...
  188          vector<double> speed;
  189          vector<double> direction;
  190:         map<string, string> first, last;
  191:         setDimensions(dimension_, first, last);
  192  
  193:         netcdf.get(speed_, speed, first, last);
  194:         netcdf.get(direction_, direction, first, last);
  195:         netcdf.get(longitude_, longitudes, first, last);
  196:         netcdf.get(latitude_, latitudes, first, last);
  197  
  198          vector<double>::iterator lat     = latitudes.begin();

122 matches across 8 files


Searching 21 files for "first_"

/Users/sylvie/git/magics/src/decoders/NetcdfData.cc:
  140      parent_(netcdf),
  141      name_(name),
  142:     first_(0),
  143      index_(index),
  144      variable_(variable) {
  ...
  170  
  171  void NetDimension::first(const string& val) {
  172:     first_ = (magCompare(method_, "value")) ? value(val) : index(val);
  173  }
  174  
  ...
  176  void NetDimension::last(const string& val) {
  177      int last = (magCompare(method_, "value")) ? value(val) : index(val);
  178:     if (last < first_) {
  179          MagLog::warning() << "last position (" + val + ") < first position: exchange "
  180                            << "\n";
  181:         int tmp = first_;
  182:         first_  = last;
  183          last    = tmp;
  184      }
  185:     dim_ = last - first_ + 1;
  186  }
  187  

6 matches in 1 file


Searching 21 files for "first("

/Users/sylvie/git/magics/src/decoders/NetcdfData.cc:
  169  }
  170  
  171: void NetDimension::first(const string& val) {
  172      first_ = (magCompare(method_, "value")) ? value(val) : index(val);
  173  }

1 match in 1 file


Searching 1230 files for "first("

/Users/sylvie/git/magics/src/basic/DataConverter.cc:
   41      if (points_.empty()) {
   42          PointsHandler& points = data_->points();
   43:         points.setToFirst();
   44          while (points.more()) {
   45              UserPoint geo = points.current();

/Users/sylvie/git/magics/src/basic/LegendVisitor.h:
  113      void last() { last_ = true; }
  114      bool isLast() { return last_; }
  115:     bool isFirst() { return first_; }
  116:     void first() { first_ = true; }
  117      void notext() { text_ = false; }
  118      void text() { text_ = true; }

/Users/sylvie/git/magics/src/basic/VisualAction.cc:
  239      }
  240  
  241:     loop_->setToFirst();
  242      while (loop_->hasMore()) {
  243          MagLog::dev() << "New Frame" << endl;

/Users/sylvie/git/magics/src/common/BasePointsHandler.cc:
   32      max_(INT_MIN) {
   33      points.for_each(*this);
   34:     points.setToFirst();
   35  }
   36  

/Users/sylvie/git/magics/src/common/BasePointsHandler.h:
   86      template <class O>
   87      void for_each(O& object) {
   88:         setToFirst();
   89          while (more()) {
   90              object(current());
   ..
   93      }
   94      //! Method to set the current position to the first point.(abstract)
   95:     virtual void setToFirst() { NOTIMP; };
   96      //! Method to test the end of collection.
   97      virtual bool more() {
   ..
  168      ~PointsList() {}
  169      // Implements the AbstractPoints interface
  170:     virtual void setToFirst() { current_ = this->begin(); }
  171      virtual bool more() { return current_ != this->end(); }
  172      virtual UserPoint& current() { return **current_; }

/Users/sylvie/git/magics/src/common/Data.cc:
  116  DataList::~DataList() {}
  117  
  118: void DataList::setToFirst() {
  119      current_ = data_.begin();
  120  }

/Users/sylvie/git/magics/src/common/Data.h:
  133          PointsHandler& list                  = this->points(transformation, true);
  134  
  135:         list.setToFirst();
  136          while (list.more()) {
  137              magnifier.push_back(transformation(list.current()));
  ...
  211      virtual void set(LayerNode&) {}
  212  
  213:     virtual void setToFirst() {}
  214      virtual Data* current() = 0;
  215      virtual bool hasMore()  = 0;
  ...
  226      DataList();
  227      ~DataList();
  228:     void setToFirst();
  229      Data* current();
  230      bool hasMore();

/Users/sylvie/git/magics/src/common/MagClipper.cc:
   60      }
   61  
   62:     ClipperLib::PolyNode* node = solution.GetFirst();
   63  
   64      while (node) {

/Users/sylvie/git/magics/src/common/MagExceptions.cc:
   21  #include "magics_windef.h"
   22  
   23: static MagException*& first() {
   24      static ThreadSingleton<MagException*> p;
   25      return p.instance();
   ..
   39  }
   40  
   41: MagException::MagException() : next_(first()) {
   42:     first() = this;
   43      xldb_throw("?");
   44  }
   45  
   46  MagException::~MagException() THROW_NOTHING() {
   47:     first() = next_;
   48  }
   49  
   50  void MagException::MagExceptionStack(ostream& out) {
   51      out << "MagException stack: " << endl;
   52:     MagException* e = first();
   53      while (e) {
   54          out << e->what() << endl;
   ..
   58  }
   59  
   60: MagException::MagException(const string& w) : what_(w), next_(first()) {
   61:     first() = this;
   62      xldb_throw(w.c_str());
   63  }
   ..
   68  
   69  bool MagException::throwing() {
   70:     return first() != 0;
   71  }
   72  

/Users/sylvie/git/magics/src/common/MatrixHandler.h:
  305  
  306      // Implements the AbstractPoints interface
  307:     virtual void setToFirst() {
  308          if (points_.empty()) {
  309              int nb_rows    = rows();

/Users/sylvie/git/magics/src/common/PointsHandler.cc:
   32  
   33  //! Method to set the current position to the first point.(abstract)
   34: void BoxPointsHandler::setToFirst() {
   35:     this->handler_.setToFirst();
   36      if (this->handler_.more() == false) {
   37          more_ = false;
   ..
   79  
   80  //! Method to set the current position to the first point.(abstract)
   81: void ThinningPointsHandler::setToFirst() {
   82:     this->handler_.setToFirst();
   83      if (this->handler_.more() == false) {
   84          more_ = false;

/Users/sylvie/git/magics/src/common/PointsHandler.h:
   36      virtual ~PointsHandler() {}
   37      //! Method to set the current position to the first point.(abstract)
   38:     virtual void setToFirst() { handler_.setToFirst(); }
   39      //! Method to test the end of collection.
   40      virtual bool more() { return handler_.more(); }
   ..
   44      virtual void advance() { handler_.advance(); }
   45      virtual bool empty() {
   46:         handler_.setToFirst();
   47          return handler_.more() == false;
   48      }
   ..
   76      virtual ~BatchPointsHandler() {}
   77      //! Method to set the current position to the first point.(abstract)
   78:     virtual void setToFirst() {}
   79      //! Method to test the end of collection.
   80      virtual bool more() {
   ..
  127  
  128      //! Method to set the current position to the first point.(abstract)
  129:     virtual void setToFirst();
  130  
  131      //! Method to test the end of collection.
  ...
  159  
  160      //! Method to set the current position to the first point.(abstract)
  161:     virtual void setToFirst();
  162  
  163      //! Method to test the end of collection.

/Users/sylvie/git/magics/src/common/Transformation.cc:
  374  void Transformation::thin(PointsHandler& points, vector<PaperPoint>& thin, vector<PaperPoint>& all) const {
  375      BoxPointsHandler box(points, *this, true);
  376:     box.setToFirst();
  377      while (box.more()) {
  378          PaperPoint xy = (*this)(box.current());
  ...
  392      ThinningMatrixHandler sample(box, row, column);
  393  
  394:     box.setToFirst();
  395      while (box.more()) {
  396          PaperPoint xy = (*this)(box.current());
  ...
  399          box.advance();
  400      }
  401:     sample.setToFirst();
  402      while (sample.more()) {
  403          PaperPoint xy = (*this)(sample.current());

/Users/sylvie/git/magics/src/decoders/BinningObject.cc:
  203      double columns = matrix->columns();
  204  
  205:     points.setToFirst();
  206      while (points.more()) {
  207          const UserPoint& point = points.current();

/Users/sylvie/git/magics/src/decoders/GribDecoder.cc:
  979  
  980  
  981: void GribLoop::setToFirst() {
  982      currentDim_ = dimension_.begin();
  983      currentPos_ = dim_.begin();
  ...
 1476      const Transformation& transformation = magnifier.transformation();
 1477      PointsHandler& points                = this->points(transformation);
 1478:     points.setToFirst();
 1479  
 1480      while (points.more()) {
 ....
 1575                      PointsHandler& points = this->points(transformation, false);
 1576  
 1577:                     points.setToFirst();
 1578  
 1579                      while (points.more()) {

/Users/sylvie/git/magics/src/decoders/GribDecoder.h:
  357      bool hasMore();
  358      void next();
  359:     void setToFirst();
  360  
  361  

/Users/sylvie/git/magics/src/decoders/ImportAction.h:
  110      virtual void set(LayerNode&) {}
  111  
  112:     virtual void setToFirst() { current_ = this->begin(); }
  113      virtual Data* current() { return *current_; }
  114      virtual bool hasMore() { return current_ != this->end(); }

/Users/sylvie/git/magics/src/decoders/MapGenDecoder.cc:
   83      PointsHandler& list = points();
   84  
   85:     list.setToFirst();
   86      int i = 0;
   87      while (list.more()) {

/Users/sylvie/git/magics/src/decoders/NetcdfData.cc:
  169  }
  170  
  171: void NetDimension::first(const string& val) {
  172      first_ = (magCompare(method_, "value")) ? value(val) : index(val);
  173  }

/Users/sylvie/git/magics/src/decoders/NetcdfData.h:
   73  
   74  
   75:     void first(const string&);
   76      void last(const string&);
   77  
   ..
  208          if (dim == dimensions_.end())
  209              return;
  210:         (*dim).second.first(first);
  211      }
  212  

/Users/sylvie/git/magics/src/terralib/kernel/TeGeometry.h:
  320  
  321      //! Returns the first element
  322:     T& first() const { return pImpl_->operator[](0); }
  323  
  324      //! Returns the i-th element

/Users/sylvie/git/magics/src/visualisers/Akima761.cc:
   63      double* val = new double[size];
   64  
   65:     points.setToFirst();
   66      int il = 0;
   67      while (const_cast<AbstractPoints<P>*>(&points)->more()) {

/Users/sylvie/git/magics/src/visualisers/Axis.cc:
  235          if ((*x)->isLabel() == false)
  236              continue;
  237:         if ((*x)->isFirst() && !label_first_)
  238              continue;
  239          if ((*x)->isLast() && !label_last_)
  ...
  336              continue;
  337  
  338:         if ((*y)->isFirst() && !label_first_)
  339              continue;
  340          if ((*y)->isLast() && !label_last_)

/Users/sylvie/git/magics/src/visualisers/AxisItem.h:
   52      virtual bool date() const { return false; }
   53  
   54:     virtual bool isFirst() { return false; }
   55      virtual bool isLast() { return false; }
   56  

/Users/sylvie/git/magics/src/visualisers/Boundaries.cc:
  111              poly.setLineStyle(administrative_style_);
  112  
  113:             (**boundary).setToFirst();
  114              while ((**boundary).more()) {
  115                  poly.push_back(transformation((**boundary).current()));
  ...
  126          poly.setLineStyle(style_);
  127  
  128:         (**boundary).setToFirst();
  129          while ((**boundary).more()) {
  130              poly.push_back(transformation((**boundary).current()));
  ...
  154  
  155  
  156:             (**boundary).setToFirst();
  157              while ((**boundary).more()) {
  158                  poly.push_back(transformation((**boundary).current()));

/Users/sylvie/git/magics/src/visualisers/CellShading.cc:
  247          if (first) {
  248              first = false;
  249:             entry->first();
  250          }
  251          for (vector<double>::iterator val = legend.values_list_.begin(); val != legend.values_list_.end(); ++val) {

/Users/sylvie/git/magics/src/visualisers/CoastPlotting.cc:
  118  
  119          poly.setLineStyle(efas_style_);
  120:         (**river).setToFirst();
  121          while ((**river).more()) {
  122              poly.push_back(transformation((**river).current()));
  ...
  140  
  141          poly.setLineStyle(user_layer_style_);
  142:         (**river).setToFirst();
  143          while ((**river).more()) {
  144              poly.push_back(transformation((**river).current()));
  ...
  164          poly.setLineStyle(rivers_style_);
  165  
  166:         (**river).setToFirst();
  167          while ((**river).more()) {
  168              poly.push_back(transformation((**river).current()));

/Users/sylvie/git/magics/src/visualisers/Histogram.cc:
   47  
   48  void Histogram::bean(PointsHandler& points) {
   49:     points.setToFirst();
   50      mean_       = 0;
   51      population_ = 0;

/Users/sylvie/git/magics/src/visualisers/HistoIndividualMode.h:
   46  
   47      virtual void count(double, double);
   48:     virtual void setToFirst(Layout&);
   49  
   50  protected:

/Users/sylvie/git/magics/src/visualisers/HistoMode.h:
   45      virtual void toxml(ostream&, int) const {}
   46      virtual void count(double, double) {}
   47:     virtual void setToFirst(Layout&) {}
   48      virtual BasicGraphicsObject* next() { return (*(current_++)).get(); }
   49      virtual bool more() { return current_ != objects_.end(); }

/Users/sylvie/git/magics/src/visualisers/IsoPlot.cc:
 1517                  entry->totalPopulation(total);
 1518                  if (first) {
 1519:                     entry->first();
 1520                      first = false;
 1521                  }
 ....
 1572                  entry->totalPopulation(total);
 1573                  if (first) {
 1574:                     entry->first();
 1575                      first = false;
 1576                  }

/Users/sylvie/git/magics/src/visualisers/PolyShadingTechnique.h:
  147          if (first_) {
  148              first_ = false;
  149:             entry->first();
  150          }
  151          for (vector<double>::iterator val = legend_.values_list_.begin(); val != legend_.values_list_.end(); ++val) {

/Users/sylvie/git/magics/src/visualisers/SimplePolylineVisualiser.cc:
   52  
   53      PointsHandler& points = data.points(parent.transformation(), true);
   54:     points.setToFirst();
   55  
   56      Polyline* line = 0;

/Users/sylvie/git/magics/src/visualisers/SymbolAdvancedTableMode.cc:
  274                  }
  275                  if (first) {
  276:                     entry->first();
  277                      first = false;
  278                  }

/Users/sylvie/git/magics/src/visualisers/SymbolMode.cc:
  321                  entry->totalPopulation(total);
  322                  if (first) {
  323:                     entry->first();
  324                      first = false;
  325                  }

/Users/sylvie/git/magics/src/visualisers/SymbolPlotting.cc:
  157              return;
  158  
  159:         points.setToFirst();
  160          while (points.more()) {
  161              PaperPoint xy = transformation(points.current());

/Users/sylvie/git/magics/src/visualisers/ValuePlotMethod.h:
   66          reset();
   67          ThinningPointsHandler thinned(data, lon_frequency_, lat_frequency_);
   68:         thinned.setToFirst();
   69  
   70          while (thinned.more()) {

/Users/sylvie/git/magics/src/web/json_spirit_reader_template.h:
  267      // to prevent "assignment operator could not be generated" warning
  268  
  269:     Value_type* add_first(const Value_type& value) {
  270          assert(current_p_ == 0);
  271  
  ...
  278      void begin_compound() {
  279          if (current_p_ == 0) {
  280:             add_first(Array_or_obj());
  281          }
  282          else {
  ...
  299      Value_type* add_to_current(const Value_type& value) {
  300          if (current_p_ == 0) {
  301:             return add_first(value);
  302          }
  303          else if (current_p_->type() == array_type) {

/Users/sylvie/git/magics/src/web/MagConfig.cc:
  216  #else
  217          struct _finddata_t fileinfo;
  218:         intptr_t handle = _findfirst((path + "/*").c_str(), &fileinfo);
  219          if (handle == -1) {
  220              ostringstream error;

/Users/sylvie/build/magics/src/params/AxisAttributes.cc:
  452  static MagicsParameter<string> axis_tick_label_type("axis_tick_label_type", "number", "");
  453  static MagicsParameter<int> axis_tick_label_frequency("axis_tick_label_frequency", 1, "");
  454: static MagicsParameter<string> axis_tick_label_first("axis_tick_label_first", "on", "");
  455  static MagicsParameter<string> axis_tick_label_last("axis_tick_label_last", "on", "");
  456  static MagicsParameter<string> axis_tick_label_position("axis_tick_label_position", "on_tick", "");

73 matches across 40 files


Searching 1230 files for "setFirstPoint("

/Users/sylvie/git/magics/src/decoders/NetcdfData.h:
  204      }
  205  
  206:     void setFirstPoint(const string& name, const string& first) {
  207          map<string, NetDimension>::iterator dim = dimensions_.find(name);
  208          if (dim == dimensions_.end())
  ...
  301      void get(vector<T>& vals, map<string, string> first, map<string, string> last) {
  302          for (map<string, string>::const_iterator f = first.begin(); f != first.end(); ++f) {
  303:             setFirstPoint((*f).first, (*f).second);
  304          }
  305          for (map<string, string>::const_iterator f = last.begin(); f != last.end(); ++f) {

2 matches in 1 file


Searching 1230 files for "setFirstPoint("

/Users/sylvie/git/magics/src/decoders/NetcdfData.h:
  204      }
  205  
  206:     void setFirstPoint(const string& name, const string& first) {
  207          map<string, NetDimension>::iterator dim = dimensions_.find(name);
  208          if (dim == dimensions_.end())
  ...
  301      void get(vector<T>& vals, map<string, string> first, map<string, string> last) {
  302          for (map<string, string>::const_iterator f = first.begin(); f != first.end(); ++f) {
  303:             setFirstPoint((*f).first, (*f).second);
  304          }
  305          for (map<string, string>::const_iterator f = last.begin(); f != last.end(); ++f) {

2 matches in 1 file


Searching 1230 files for "::first("

/Users/sylvie/git/magics/src/decoders/NetcdfData.cc:
  169  }
  170  
  171: void NetDimension::first(const string& val) {
  172      first_ = (magCompare(method_, "value")) ? value(val) : index(val);
  173  }

1 match in 1 file


Searching 42 files for "method_"

/Users/sylvie/git/magics/src/decoders/NetcdfData.cc:
  170  
  171  void NetDimension::first(const string& val) {
  172:     first_ = (magCompare(method_, "value")) ? value(val) : index(val);
  173  }
  174  
  175  
  176  void NetDimension::last(const string& val) {
  177:     int last = (magCompare(method_, "value")) ? value(val) : index(val);
  178      if (last < first_) {
  179          MagLog::warning() << "last position (" + val + ") < first position: exchange "
  ...
  220          }
  221          dimensions_.insert(std::make_pair(name, NetDimension(parent_, name, d, var)));
  222:         dimensions_[name].method_ = method;
  223      }
  224  

/Users/sylvie/git/magics/src/decoders/NetcdfData.h:
   60      size_t dim_;
   61      size_t index_;
   62:     string method_;
   63  
   64  

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.cc:
   49          return false;
   50  
   51:     Netcdf netcdf(path_, dimension_method_);
   52  
   53  
   ..
  167  
  168  bool NetcdfGeoMatrixInterpretor::interpretAsPoints(PointsList& list) {
  169:     Netcdf netcdf(path_, dimension_method_);
  170      string proj4 = proj4Detected(netcdf);
  171  
  ...
  230      mdc["statsType"] = "scalar";
  231  
  232:     Netcdf nc(path_, dimension_method_);
  233  
  234      string attrKey;
  ...
  256  void NetcdfGeoMatrixInterpretor::customisedPoints(const Transformation& transformation, const std::set<string>&,
  257                                                    CustomisedPointsList& out, int thinning) {
  258:     Netcdf netcdf(path_, dimension_method_);
  259  
  260      // get the data ...
  ...
  316          return 0;
  317  
  318:     Netcdf netcdf(from.path_, from.dimension_method_);
  319  
  320      string variable = from.field_;

/Users/sylvie/git/magics/src/decoders/NetcdfGeopointsInterpretor.cc:
   50  
   51  bool NetcdfGeopointsInterpretor::interpretAsPoints(PointsList& list, const Transformation& projection) {
   52:     Netcdf netcdf(path_, dimension_method_);
   53  
   54      // get the data ...
   ..
  102  }
  103  bool NetcdfGeopointsInterpretor::interpretAsPoints(PointsList& list) {
  104:     Netcdf netcdf(path_, dimension_method_);
  105  
  106      // get the data ...
  ...
  164      string attrVal;
  165  
  166:     Netcdf nc(path_, dimension_method_);
  167      // Value attributes
  168      getAttributes(nc, field_, attrKey, attrVal);
  ...
  234  
  235  bool NetcdfXYpointsInterpretor::interpretAsPoints(PointsList& list, const Transformation& projection) {
  236:     Netcdf netcdf(path_, dimension_method_);
  237  
  238      // get the data ...
  ...
  285  }
  286  bool NetcdfXYpointsInterpretor::interpretAsPoints(PointsList& list, const std::set<string>& needs) {
  287:     Netcdf netcdf(path_, dimension_method_);
  288  
  289      // get the data ...
  ...
  404      bool isVprof = false;
  405  
  406:     Netcdf nc(path_, dimension_method_);
  407      map<string, NetAttribute> attrs = nc.getAttributes();
  408  

/Users/sylvie/git/magics/src/decoders/NetcdfInterpretor.cc:
   44          return delegate_;
   45      // guess!!
   46:     Netcdf netcdf(path_, dimension_method_);
   47      string convention = netcdf.getAttribute("Conventions", string(""));
   48  
   ..
  210  
  211  string NetcdfInterpretor::getAttribute(const string& var, const string& attr, const string& def) {
  212:     Netcdf netcdf(path_, dimension_method_);
  213      if (var.empty())
  214          return netcdf.getAttribute(attr, def);
  ...
  225          tag.decode(*t);
  226      }
  227:     Netcdf netcdf(path_, dimension_method_);
  228  
  229      string name = netcdf.getVariableAttribute(field_, "standard_name", string(""));

/Users/sylvie/git/magics/src/decoders/NetcdfMatrixInterpretor.cc:
   57          matrix_->missing(std::numeric_limits<double>::max());
   58  
   59:         Netcdf netcdf(path_, dimension_method_);
   60          double missing = netcdf.getMissing(field_, missing_attribute_);
   61          matrix_->missing(missing);
   ..
   77              vector<string> dims;
   78              ostringstream x, y;
   79:             if (magCompare(dimension_method_, "index")) {
   80                  y << y_ << "/" << index << "/" << index;
   81                  x << x_ << "/" << 0 << "/" << columns.size() - 1;
   ..
  146          return false;
  147  
  148:     Netcdf netcdf(path_, dimension_method_);
  149      map<string, string> first, last;
  150      setDimensions(dimension_, first, last);
  ...
  204          return false;
  205  
  206:     Netcdf netcdf(path_, dimension_method_);
  207      map<string, string> first, last;
  208      setDimensions(dimension_, first, last);
  ...
  357      mdc["statsType"] = "scalar";
  358  
  359:     Netcdf nc(path_, dimension_method_);
  360  
  361      string attrKey;

/Users/sylvie/git/magics/src/decoders/NetcdfOrcaInterpretor.cc:
   37          return false;
   38  
   39:     Netcdf netcdf(path_, dimension_method_);
   40      NetVariable var = netcdf.getVariable(longitude_);
   41      vector<size_t> dims;
   ..
  240      try {
  241          MagLog::dev() << " Netcdf File Path --->" << path_ << "\n";
  242:         Netcdf netcdf(path_, dimension_method_);
  243          map<string, string> first, last;
  244          setDimensions(dimension_, first, last);
  ...
  281      try {
  282          MagLog::dev() << " Netcdf File Path --->" << path_ << "\n";
  283:         Netcdf netcdf(path_, dimension_method_);
  284          map<string, string> first, last;
  285          setDimensions(dimension_, first, last);
  ...
  324          return 0;
  325  
  326:     Netcdf netcdf(from.path_, from.dimension_method_);
  327  
  328      string variable = from.field_;

/Users/sylvie/git/magics/src/decoders/NetcdfVectorInterpretor.cc:
   58  void NetcdfVectorInterpretor::customisedPoints(const Transformation& transformation, const std::set<string>&,
   59                                                 CustomisedPointsList& list, int thinning) {
   60:     Netcdf netcdf(path_, dimension_method_);
   61      try {
   62          vector<double> x;
   ..
   90  void NetcdfGeoVectorInterpretor::customisedPoints(const Transformation& transformation, const std::set<string>&,
   91                                                    CustomisedPointsList& list, int thinning) {
   92:     Netcdf netcdf(path_, dimension_method_);
   93      try {
   94          vector<double> latitudes;
   ..
  155          return 0;
  156  
  157:     Netcdf netcdf(from.path_, from.dimension_method_);
  158  
  159      string latitude_x  = netcdf.detect(from.x_component_, "latitude");
  ...
  182  void NetcdfGeoPolarMatrixInterpretor::customisedPoints(const Transformation&, const std::set<string>&,
  183                                                         CustomisedPointsList& list) {
  184:     Netcdf netcdf(path_, dimension_method_);
  185      try {
  186          vector<double> latitudes;

/Users/sylvie/build/magics/src/params/NetcdfInterpretorAttributes.cc:
   36  	level_dimension_(ParameterManager::getString("netcdf_level_dimension_setting")),
   37  	number_dimension_(ParameterManager::getString("netcdf_number_dimension_setting")),
   38: 	dimension_method_(ParameterManager::getString("netcdf_dimension_setting_method")),
   39  	latitude_(ParameterManager::getString("netcdf_latitude_variable")),
   40  	longitude_(ParameterManager::getString("netcdf_longitude_variable")),
   ..
   87  	setAttribute(prefix, "netcdf_level_dimension_setting", level_dimension_, params);
   88  	setAttribute(prefix, "netcdf_number_dimension_setting", number_dimension_, params);
   89: 	setAttribute(prefix, "netcdf_dimension_setting_method", dimension_method_, params);
   90  	setAttribute(prefix, "netcdf_latitude_variable", latitude_, params);
   91  	setAttribute(prefix, "netcdf_longitude_variable", longitude_, params);
   ..
  126  	level_dimension_ = other.level_dimension_;
  127  	number_dimension_ = other.number_dimension_;
  128: 	dimension_method_ = other.dimension_method_;
  129  	latitude_ = other.latitude_;
  130  	longitude_ = other.longitude_;
  ...
  190  	out << " level_dimension = " <<  level_dimension_;
  191  	out << " number_dimension = " <<  number_dimension_;
  192: 	out << " dimension_method = " <<  dimension_method_;
  193  	out << " latitude = " <<  latitude_;
  194  	out << " longitude = " <<  longitude_;
  ...
  239  	niceprint(out,number_dimension_);
  240  	out << ", \"netcdf_dimension_setting_method\":";
  241: 	niceprint(out,dimension_method_);
  242  	out << ", \"netcdf_latitude_variable\":";
  243  	niceprint(out,latitude_);

/Users/sylvie/build/magics/src/params/NetcdfInterpretorAttributes.h:
   59  	string level_dimension_;
   60  	string number_dimension_;
   61: 	string dimension_method_;
   62  	string latitude_;
   63  	string longitude_;

38 matches across 10 files


Searching 42 files for " method_"

/Users/sylvie/git/magics/src/decoders/NetcdfData.h:
   60      size_t dim_;
   61      size_t index_;
   62:     string method_;
   63  
   64  

1 match in 1 file


Searching 42 files for "first("

/Users/sylvie/git/magics/src/decoders/NetcdfData.cc:
  169  }
  170  
  171: void NetDimension::first(const string& val) {
  172      first_ = (magCompare(method_, "value")) ? value(val) : index(val);
  173  }

/Users/sylvie/git/magics/src/decoders/NetcdfData.h:
   73  
   74  
   75:     void first(const string&);
   76      void last(const string&);
   77  
   ..
  208          if (dim == dimensions_.end())
  209              return;
  210:         (*dim).second.first(first);
  211      }
  212  

3 matches across 2 files


Searching 675 files for "TILE"

/Users/sylvie/git/magics/src/basic/FortranMagics.h:
  104      void pgraph();
  105      void pboxplot();
  106:     void ptile();
  107  
  108      void paxis();

/Users/sylvie/git/magics/src/common/CustomisedPoint.h:
   31  class CustomisedPoint : public map<string, double> {
   32  public:
   33:     CustomisedPoint() : latitude_(0), longitude_(0), identifier_(""), missing_(false), tile_(false) {}
   34      CustomisedPoint(double lon, double lat, string ident) :
   35          latitude_(lat),
   ..
   37          identifier_(ident),
   38          missing_(false),
   39:         tile_(false) {}
   40      virtual ~CustomisedPoint() {}
   41  
   ..
   65      bool missing() const { return missing_; }
   66      void missing(bool missing) { missing_ = missing; }
   67:     bool tile() const { return tile_; }
   68:     void tile(bool tile) { tile_ = tile; }
   69  
   70  
   ..
   97      DateTime reference_;
   98      bool missing_;
   99:     bool tile_;
  100  
  101  private:

/Users/sylvie/git/magics/src/common/magics_api.h:
   46  MAGICS_EXPORT void mag_symb();
   47  MAGICS_EXPORT void mag_boxplot();
   48: MAGICS_EXPORT void mag_tile();
   49  MAGICS_EXPORT void mag_line();
   50  MAGICS_EXPORT void mag_taylor();

/Users/sylvie/git/magics/src/common/MatrixHandler.h:
   43          min_(INT_MAX),
   44          max_(-INT_MAX),
   45:         tile_(false) {}
   46      MatrixHandler(const MatrixHandler& matrix) :
   47          AbstractMatrix(),
   ..
   50          min_(INT_MAX),
   51          max_(-INT_MAX),
   52:         tile_(false) {}
   53  
   54      virtual ~MatrixHandler() {}
   55  
   56:     virtual bool tile() { return tile_; }
   57  
   58      virtual double operator()(int i, int j) const { return matrix_(i, j); }
   ..
  248      }
  249  
  250:     void setTile() { tile_ = true; }
  251  
  252      virtual int rows() const { return matrix_.rows(); }
  ...
  366      mutable double max_;
  367      mutable bool internal_;
  368:     mutable bool tile_;
  369  };
  370  

/Users/sylvie/git/magics/src/common/PolarStereographicProjection.h:
   59      }
   60      void fill(double&, double&);
   61:     void tile(double&, double&);
   62  
   63      void setNewPCBox(double, double, double, double);

/Users/sylvie/git/magics/src/common/Transformation.h:
  179      virtual void aspectRatio(double&, double&);
  180      virtual void fill(double&, double&);  // fill the space , can adapt the coordiantes to return the biggest area..
  181:     virtual void tile(double&, double&);  // fill the space , can adapt the coordiantes to return the biggest area..
  182      virtual void forceNewArea(double, double, double, double, double&, double&);
  183      virtual UserPoint reference() const;
  ...
  330  
  331      // For tiling Mode keep the position in pixel of the asked topleft corner!
  332:     int xTile_;
  333:     int yTile_;
  334      double askedxmin_;
  335      double askedxmax_;
  ...
  340      double originX_;
  341      double originY_;
  342:     int tile_;
  343      int zoomLevel_;
  344      double unit_;

/Users/sylvie/git/magics/src/decoders/EpsgramDecoder.h:
  114      double offset_;
  115      double scaling_;
  116:     double percentile_;
  117      double threshold_;
  118      string prefix_;
  ...
  180      double offset_;
  181      double shift_;
  182:     double percentile_;
  183      double threshold_;
  184  

/Users/sylvie/git/magics/src/decoders/TileDecoder.h:
    9   */
   10  
   11: /*! \file TileDecoder.h
   12:     \brief Definition of the Template class TileDecoder.
   13  
   14      Magics Team - ECMWF 2004
   ..
   20  */
   21  
   22: #ifndef TileDecoder_H
   23: #define TileDecoder_H
   24  
   25  #include "MagException.h"
   ..
   28  #include "Data.h"
   29  #include "MagicsDecoder.h"
   30: #include "TileDecoderAttributes.h"
   31  #include "eccodes.h"
   32  
   ..
   34  
   35  
   36: class TileDecoder : public Decoder, public Data, public TileDecoderAttributes {
   37  public:
   38:     TileDecoder();
   39:     virtual ~TileDecoder();
   40      // implements Decoder interface
   41      void decode();
   42:     virtual void set(const XmlNode& node) { TileDecoderAttributes::set(node); }
   43:     virtual void set(const map<string, string>& map) { TileDecoderAttributes::set(map); }
   44  
   45      void customisedPoints(const Transformation& t, const std::set<string>& n, CustomisedPointsList& out, bool all);
   ..
   47      PointsHandler& points(const Transformation& t, bool);
   48  
   49:     PointsHandler& points() { throw MethodNotYetImplemented("TileDecoder::points()"); }
   50      virtual MatrixHandler& matrix() {
   51          decode();
   52          matrixHandlers_.push_back(new MatrixHandler(matrix_));
   53:         matrixHandlers_.back()->setTile();
   54          return *(matrixHandlers_.back());
   55      }
   ..
   79  private:
   80      //! Copy constructor - No copy allowed
   81:     TileDecoder(const TileDecoder&);
   82      //! Overloaded << operator to copy - No copy allowed
   83:     TileDecoder& operator=(const TileDecoder&);
   84  
   85      // -- Friends
   86      //! Overloaded << operator to call print().
   87:     friend ostream& operator<<(ostream& s, const TileDecoder& p) {
   88          p.print(s);
   89          return s;

/Users/sylvie/build/magics/src/params/EpsBufrAttributes.h:
   64  	double param_scaling_factor_;
   65  	double param_offset_factor_;
   66: 	double percentile_;
   67  	double threshold_;
   68  	 

/Users/sylvie/build/magics/src/params/EpsgramDecoderAttributes.h:
   71  	double height_;
   72  	bool correction_;
   73: 	double percentile_;
   74  	double threshold_;
   75  	 

/Users/sylvie/build/magics/src/params/EpsGraphAttributes.h:
   56  	string font_style_;
   57  	int box_shift_;
   58: 	stringarray quantiles_colour_;
   59  	int border_thickness_;
   60  	int median_thickness_;

/Users/sylvie/build/magics/src/params/TileDecoderAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileTileDecoderAttributes.h
   15:     \brief Definition of TileDecoder Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef TileDecoderAttributes_H
   25: #define TileDecoderAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class TileDecoderAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     TileDecoderAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~TileDecoderAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const TileDecoderAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   64  
   65  private:
   66: 	friend ostream& operator<<(ostream& s,const TileDecoderAttributes& p)
   67  	{ p.print(s); return s; }
   68  };

/Users/sylvie/build/magics/src/params/WrepJSonAttributes.h:
   68  	int clim_step_;
   69  	intarray steps_;
   70: 	double percentile_;
   71  	double threshold_;
   72  	double y_max_threshold_;
   ..
   75  	double missing_value_;
   76  	stringarray ignore_keys_;
   77: 	string profile_quantile_;
   78  	bool hodograph_grid_;
   79  	bool hodograph_tephi_;

57 matches across 13 files


Searching 675 files for "TILE" (case sensitive)

0 matches

Searching 1230 files for "TILE" (case sensitive)

/Users/sylvie/git/magics/src/decoders/TileDecoder.cc:
   46  string TileDecoder::weights() {
   47    ostringstream out;
   48:   string parent = getEnvVariable("MAGPLUS_TILE");
   49    if (parent.empty()) {
   50      parent = getEnvVariable("MAGPLUS_HOME") + "/share/magics/tiles";
   ..
   57  string TileDecoder::positions() {
   58    ostringstream out;
   59:   string parent = getEnvVariable("MAGPLUS_TILE");
   60    if (parent.empty()) {
   61      parent = getEnvVariable("MAGPLUS_HOME") + "/share/magics/tiles";
   ..
   69  string TileDecoder::positions_symbols() {
   70    ostringstream out;
   71:   string parent = getEnvVariable("MAGPLUS_TILE");
   72    if (parent.empty()) {
   73      parent = getEnvVariable("MAGPLUS_HOME") + "/share/magics/tiles";

3 matches in 1 file


Searching 1230 files for "proj4" (case sensitive)

/Users/sylvie/git/magics/src/common/Matrix.cc:
  562  
  563  MatrixHandler* Proj4Matrix::getReady(const Transformation&) const {
  564:     return new Proj4MatrixHandler(*this, proj4_);
  565  }
  566  
  ...
  570  
  571  
  572: Proj4MatrixHandler::Proj4MatrixHandler(const AbstractMatrix& matrix, const string& proj4) : MatrixHandler(matrix) {
  573:     proj4_    = pj_init_plus(proj4.c_str());
  574      latlon_   = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  575      internal_ = false;
  ...
  590      double y = row * DEG_TO_RAD;
  591  
  592:     int error = pj_transform(latlon_, proj4_, 1, 1, &x, &y, NULL);
  593      if (error)
  594          return missing();
  ...
  603      double y = row * DEG_TO_RAD;
  604  
  605:     int error = pj_transform(latlon_, proj4_, 1, 1, &x, &y, NULL);
  606      if (error)
  607          return missing();
  ...
  662      double row    = MatrixHandler::row(i, j);
  663  
  664:     int error = pj_transform(proj4_, latlon_, 1, 1, &column, &row, NULL);
  665      if (error)
  666          return missing();
  ...
  672      double row    = MatrixHandler::row(i, j);
  673  
  674:     int error = pj_transform(proj4_, latlon_, 1, 1, &column, &row, NULL);
  675      if (error)
  676          return missing();

/Users/sylvie/git/magics/src/common/Matrix.h:
  500  class Proj4Matrix : public Matrix {
  501  public:
  502:     Proj4Matrix(const string& proj4) : Matrix(), proj4_(proj4) {}
  503      MatrixHandler* getReady(const Transformation&) const;
  504  
  505  protected:
  506:     string proj4_;
  507  };
  508  

/Users/sylvie/git/magics/src/common/MatrixHandler.h:
  511      double maxy_;
  512  
  513:     projPJ proj4_;
  514      projPJ latlon_;
  515  };

/Users/sylvie/git/magics/src/common/Proj4Projection.cc:
  245      if (!to_) {
  246          // MagLog::error() << pj_strerrno(pj_errno) << endl;
  247:         MagLog::error() << " proj4 error " << projection_->definition() << endl;
  248          ASSERT(false);
  249      }
  ...
 1193      double h = getMaxPCY() - getMinPCY();
 1194      java << "{";
 1195:     java << "\"name\" : \"proj4\",";
 1196      java << "\"definition\" : \"" << definition_ << "\",";
 1197:     java << "\"proj4_definition\" : \"" << projection_->definition_ << "\",";
 1198      java << "\"top\" : \"" << top << "\",";
 1199      java << "\"left\" : \"" << left << "\",";

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.cc:
   82      if (lat != missing_ && lon != missing_) {
   83          if (useProj4_) {
   84:             int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
   85              lon *= RAD_TO_DEG;
   86              lat *= RAD_TO_DEG;
   ..
   98      if (lat != missing_ && lon != missing_) {
   99          if (useProj4_) {
  100:             int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  101              lon *= RAD_TO_DEG;
  102              lat *= RAD_TO_DEG;
  ...
  114      if (lat != missing_ && lon != missing_) {
  115          if (useProj4_) {
  116:             int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  117              lon *= RAD_TO_DEG;
  118              lat *= RAD_TO_DEG;
  ...
  134      if (lat != missing_ && lon != missing_) {
  135          if (useProj4_) {
  136:             int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  137              lon *= RAD_TO_DEG;
  138              lat *= RAD_TO_DEG;
  ...
  159      if (lat != missing_ && lon != missing_) {
  160          if (useProj4_) {
  161:             int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  162              lon *= RAD_TO_DEG;
  163              lat *= RAD_TO_DEG;
  ...
  174      if (lat != missing_ && lon != missing_) {
  175          if (useProj4_) {
  176:             int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  177              lon *= RAD_TO_DEG;
  178              lat *= RAD_TO_DEG;
  ...
  212  
  213          if (useProj4_) {
  214:             int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  215              lon *= RAD_TO_DEG;
  216              lat *= RAD_TO_DEG;
  ...
  316              if (strncmp(line, "#PROJECTION ", 12) == 0) {
  317                  useProj4_ = true;
  318:                 string proj4(line + 12);
  319  
  320:                 proj4_  = pj_init_plus(line + 11);
  321                  latlon_ = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  322              }

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.h:
  105      vector<CustomisedPoint*> customisedPoints_;
  106      vector<eGeoColType> colTypes_;  // used only for NCOLS formatted geopoints
  107:     projPJ proj4_;
  108      projPJ latlon_;
  109      bool useProj4_;

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.cc:
   33  NetcdfGeoMatrixInterpretor::~NetcdfGeoMatrixInterpretor() {}
   34  
   35: string NetcdfGeoMatrixInterpretor::proj4Detected(Netcdf& netcdf) {
   36      // Efas old netcdf
   37:     string proj4 = netcdf.getAttribute("projection", string(""));
   38:     if (proj4.size())
   39:         return proj4;
   40      string mapping = netcdf.getVariableAttribute(field_, "grid_mapping", string(""));
   41      if (mapping.size())
   42:         return netcdf.getVariableAttribute(mapping, "proj4_params", string(""));
   43      return "";
   44  }
   ..
   52  
   53  
   54:     string proj4 = proj4Detected(netcdf);
   55  
   56:     if (proj4.empty()) {
   57          matrix_ = new Matrix();
   58          matrix_->akimaEnabled();
   59      }
   60      else {
   61:         matrix_ = new Proj4Matrix(proj4);
   62      }
   63      *matrix = matrix_;
   ..
  142  
  143  
  144: UserPoint* NetcdfGeoMatrixInterpretor::newPoint(const string& proj4, double lon, double lat, double val) {
  145      double x = lon;
  146      double y = lat;
  147  
  148:     if (!proj4.empty()) {
  149:         int error = pj_transform(proj4_, latlon_, 1, 1, &x, &y, NULL);
  150          return new UserPoint(x * RAD_TO_DEG, y * RAD_TO_DEG, val);
  151      }
  ...
  168  bool NetcdfGeoMatrixInterpretor::interpretAsPoints(PointsList& list) {
  169      Netcdf netcdf(path_, dimension_method_);
  170:     string proj4 = proj4Detected(netcdf);
  171  
  172:     if (!proj4.empty()) {
  173:         proj4_  = pj_init_plus(proj4.c_str());
  174          latlon_ = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  175      }
  ...
  199                  if (same(values[val], missing_value))
  200                      continue;
  201:                 list.push_back(newPoint(proj4, longitudes[lon], latitudes[lat], (values[val] * scaling_) + offset_));
  202              }
  203          }

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.h:
   68      virtual void visit(ValuesCollector&, PointsList&);
   69      void customisedPoints(const Transformation&, const std::set<string>&, CustomisedPointsList&, int);
   70:     string proj4Detected(Netcdf& netcdf);
   71      void checkProj4Units(Netcdf& netcdf, const string& variable, vector<double>& data);
   72  
   ..
   75      virtual void print(ostream&) const;
   76      Matrix* matrix_;
   77:     projPJ proj4_;
   78      projPJ latlon_;
   79  

/Users/sylvie/git/magics/src/terralib/kernel/TeProjection.h:
  686      \note This function works only for sproj descriptionsgenerated by TerraLib
  687  */
  688: TL_DLL TeProjection* TeGetTeProjectionFromSProj(const string& sproj4desc);
  689  
  690  //! Generates a PROJ4 description from a TerraLib instance

/Users/sylvie/git/magics/src/visualisers/Streamlines.cc:
   33      // Il faudrait tout revoir, pour calculer les isolignes dans le plan projeté
   34      // et non en latlon ( Cela éviterait les problemes de densité d'isolignes
   35:     // pres des poles et de jointure moche pour les projections 'proj4 (overlapped)'
   36  
   37      // Mais attention a toute modif de simplification:
   ..
   67          // MAIS selon la projection et son mode de définition, ces clefs
   68          // ne sont pas forcement renseignées, ou alors exprimées en
   69:         // coordonnées projetées au lieu de latlon (Stereopol, ou proj4 si
   70          //     subpage_map_area_coordinate_system == 'projection')
   71  
   ..
  249                      break;
  250                  }
  251:                 // gestion "overlapping" proj4 => x(ll) = x(ll%360)
  252                  // Pour éviter un trait "horizontal" entre 2 points valides
  253                  // rapprochés en latlon mais près de 2 bords opposés plan

/Users/sylvie/build/magics/src/params/Proj4ProjectionAttributes.cc:
   42  	projection_view_longitude_(ParameterManager::getDouble("subpage_map_projection_view_longitude")),
   43  	sweep_(ParameterManager::getDouble("subpage_map_geos_sweep")),
   44: 	proj4_definition_(ParameterManager::getString("subpage_map_proj4_definition")),
   45  	coordinates_system_(ParameterManager::getString("subpage_coordinates_system"))
   46  	
   ..
   76  	setAttribute(prefix, "subpage_map_projection_view_longitude", projection_view_longitude_, params);
   77  	setAttribute(prefix, "subpage_map_geos_sweep", sweep_, params);
   78: 	setAttribute(prefix, "subpage_map_proj4_definition", proj4_definition_, params);
   79  	setAttribute(prefix, "subpage_coordinates_system", coordinates_system_, params);
   80  	
   ..
   98  	projection_view_longitude_ = other.projection_view_longitude_;
   99  	sweep_ = other.sweep_;
  100: 	proj4_definition_ = other.proj4_definition_;
  101  	coordinates_system_ = other.coordinates_system_;
  102  	
  ...
  145  	out << " projection_view_longitude = " <<  projection_view_longitude_;
  146  	out << " sweep = " <<  sweep_;
  147: 	out << " proj4_definition = " <<  proj4_definition_;
  148  	out << " coordinates_system = " <<  coordinates_system_;
  149  	
  ...
  182  	out << ", \"subpage_map_geos_sweep\":";
  183  	niceprint(out,sweep_);
  184: 	out << ", \"subpage_map_proj4_definition\":";
  185: 	niceprint(out,proj4_definition_);
  186  	out << ", \"subpage_coordinates_system\":";
  187  	niceprint(out,coordinates_system_);
  ...
  203  static MagicsParameter<double> subpage_map_projection_view_longitude("subpage_map_projection_view_longitude", -60, "");
  204  static MagicsParameter<double> subpage_map_geos_sweep("subpage_map_geos_sweep", 0, "");
  205: static MagicsParameter<string> subpage_map_proj4_definition("subpage_map_proj4_definition", "", "");
  206  static MagicsParameter<string> subpage_coordinates_system("subpage_coordinates_system", "latlon", "");
  207  

/Users/sylvie/build/magics/src/params/Proj4ProjectionAttributes.h:
   65  	double projection_view_longitude_;
   66  	double sweep_;
   67: 	string proj4_definition_;
   68  	string coordinates_system_;
   69  	 

63 matches across 12 files


Searching 1230 files for "PROJ" (case sensitive)

/Users/sylvie/git/magics/src/common/MatrixHandler.h:
  485  #include "magics_windef.h"
  486  #ifdef MAGICS_ON_WINDOWS
  487: #define PROJ_MSVC_DLL_IMPORT 1
  488  #endif
  489  
  490: #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
  491  #include <proj_api.h>
  492  

/Users/sylvie/git/magics/src/common/Proj4Projection.h:
   26  #include "magics_windef.h"
   27  #ifdef MAGICS_ON_WINDOWS
   28: #define PROJ_MSVC_DLL_IMPORT 1
   29  #endif
   30  
   31: #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   32  #include <proj_api.h>
   33  

/Users/sylvie/git/magics/src/common/Transformation.h:
   19   - Satellite
   20  
   21:  You can select the projection by setting the parameter SUBPAGE_MAP_PROJECTION .
   22  
   23  \section addProjection How to add a new projection

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.cc:
  314              if (strncmp(line, "#DATA", 5) == 0)
  315                  break;
  316:             if (strncmp(line, "#PROJECTION ", 12) == 0) {
  317                  useProj4_ = true;
  318                  string proj4(line + 12);

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.h:
   27  #include "magics_windef.h"
   28  #ifdef MAGICS_ON_WINDOWS
   29: #define PROJ_MSVC_DLL_IMPORT 1
   30  #endif
   31  
   32: #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   33  #include <proj_api.h>
   34  #include "Data.h"

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.h:
   27  #include "magics_windef.h"
   28  #ifdef MAGICS_ON_WINDOWS
   29: #define PROJ_MSVC_DLL_IMPORT 1
   30  #endif
   31  
   32: #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   33  #include <proj_api.h>
   34  #include "Matrix.h"

/Users/sylvie/git/magics/src/drivers/QtDriver.cc:
  364  
  365  
  366:     MagLog::debug() << "---> (Qt) PROJECT " << layout.name() << endl;
  367  
  368      // Get layout geometry
  ...
  470  
  471      if (qln)
  472:         MagLog::debug() << "---> (Qt) UNPROJECT " << qln->layout().name() << endl;
  473      else
  474:         MagLog::debug() << "---> (Qt) UNPROJECT 0x000000" << endl;
  475  
  476  
  ...
  490      // Verify dimension stack
  491      if (dimensionStack_.empty()) {
  492:         MagLog::error() << "--->UNPROJECT ("
  493                          << ") Dimension stack error!" << endl;
  494          assert(dimensionStack_.empty() == false);

/Users/sylvie/git/magics/src/libMagWrapper/MagPlus.cc:
  474  
  475  
  476:     if ((string)in("SUBPAGE_MAP_PROJECTION") != "NEXT") {
  477          FortranViewNodeWrapper* viewhelper = new FortranViewNodeWrapper();
  478          viewhelper->set(in);
  ...
  499      else {
  500          page_                        = new FortranViewNodeWrapper();
  501:         in("SUBPAGE_MAP_PROJECTION") = "cartesian";
  502          page_->set(in);
  503          int id     = in("_ID");
  ...
  511  
  512  bool MagPlus::cartesian(magics::MagRequest& in) {
  513:     string projection            = get(in, "MAP_PROJECTION", "cartesian");
  514:     in("SUBPAGE_MAP_PROJECTION") = projection;
  515  
  516      if (!page_)

/Users/sylvie/git/magics/src/terralib/kernel/TeDatum.h:
  104      }
  105  
  106:     //! Returns the Datum description in PROJ4 format
  107      string getProj4Description();
  108  

/Users/sylvie/git/magics/src/terralib/kernel/TeErrorLog.h:
   40      // Errors associated with projection
   41      DATUM_ERROR,
   42:     PROJECTION_NOT_AVAILABLE,
   43  
   44      // Error codes for MIF files

/Users/sylvie/git/magics/src/terralib/kernel/TeProjection.h:
   13  */
   14  
   15: #ifndef __TERRALIB_INTERNAL_PROJECTION_H
   16: #define __TERRALIB_INTERNAL_PROJECTION_H
   17  
   18  #include "TeCoord2D.h"
   ..
   34  
   35  //! Number of supported projections in TerraLib
   36: const int NUM_PROJ = 11;
   37  
   38  //! Set of informations required by projections
   ..
   56  TL_DLL const char** TeGetProjInfo();
   57  
   58: // ============ PROJECTION PARAMETERS ===============
   59  
   60  class TeProjection;
   ..
   84  };
   85  
   86: //========== PROJECTION FACTORY
   87  //! A factory of projections
   88  class TL_DLL TeProjectionFactory {
   ..
  682  bool TL_DLL decodifyDescription(const string& projDescription, TeProjectionParams& pars);
  683  
  684: //! Creates a TeProjection instance from a PROJ4 description
  685  /*
  686      \note This function works only for sproj descriptionsgenerated by TerraLib
  ...
  688  TL_DLL TeProjection* TeGetTeProjectionFromSProj(const string& sproj4desc);
  689  
  690: //! Generates a PROJ4 description from a TerraLib instance
  691  TL_DLL string TeGetSProjFromTeProjection(TeProjection* teproj);
  692  

/Users/sylvie/build/magics/src/magics_config.h:
   23  
   24  /* Define to 1 if you have the `proj' library (-lproj). */
   25: /* #undef HAVE_LIBPROJ */
   26  
   27  /* Define to 1 if you have the `pthread' library (-lpthread). */

28 matches across 12 files


Searching 1230 files for "proj_api.h" (case sensitive)

/Users/sylvie/git/magics/src/common/MatrixHandler.h:
  489  
  490  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
  491: #include <proj_api.h>
  492  
  493  class Proj4MatrixHandler : public MatrixHandler {

/Users/sylvie/git/magics/src/common/Proj4Projection.h:
   30  
   31  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   32: #include <proj_api.h>
   33  
   34  namespace magics {

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.h:
   31  
   32  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   33: #include <proj_api.h>
   34  #include "Data.h"
   35  #include "GeoPointsDecoderAttributes.h"

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.h:
   31  
   32  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   33: #include <proj_api.h>
   34  #include "Matrix.h"
   35  #include "NetcdfInterpretor.h"

4 matches across 4 files


Searching 1230 files for "proj_api.h" (case sensitive)

/Users/sylvie/git/magics/src/common/Proj4Projection.h:
   30  
   31  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   32: #include <proj_api.h>
   33  
   34  namespace magics {

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.h:
   31  
   32  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   33: #include <proj_api.h>
   34  #include "Data.h"
   35  #include "GeoPointsDecoderAttributes.h"

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.h:
   31  
   32  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   33: #include <proj_api.h>
   34  #include "Matrix.h"
   35  #include "NetcdfInterpretor.h"

3 matches across 3 files


Searching 1230 files for "proj_api.h" (case sensitive)

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.h:
   31  
   32  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   33: #include <proj_api.h>
   34  #include "Data.h"
   35  #include "GeoPointsDecoderAttributes.h"

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.h:
   31  
   32  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   33: #include <proj_api.h>
   34  #include "Matrix.h"
   35  #include "NetcdfInterpretor.h"

2 matches across 2 files


Searching 1230 files for "proj_api.h" (case sensitive)

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.h:
   31  
   32  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   33: #include <proj_api.h>
   34  #include "Data.h"
   35  #include "GeoPointsDecoderAttributes.h"

1 match in 1 file


Searching 1230 files for "Proj" (case sensitive)

/Users/sylvie/git/magics/src/common/GeoRectangularProjection.cc:
    9   */
   10  
   11: /*! \file GeoRectangularProjection.cc
   12:     \brief Implementation of GeoRectangularProjection.
   13      \author Meteorological Visualisation Section, ECMWF
   14  
   ..
   17  */
   18  
   19: #include <GeoRectangularProjection.h>
   20  
   21  #include <Polyline.h>
   ..
   35    \brief Constructor
   36  */
   37: GeoRectangularProjection::GeoRectangularProjection() : projection_(0) {
   38      init();
   39      // Tiling information
   ..
   49    \brief Destructor
   50  
   51:   \todo do we need here a "delete projection_;" as in MercatorProjection::~MercatorProjection() ?
   52  */
   53: GeoRectangularProjection::~GeoRectangularProjection() {}
   54  
   55: void GeoRectangularProjection::print(ostream& o) const {
   56:     o << "GeoRectangularProjection[";
   57:     GeoRectangularProjectionAttributes::print(o);
   58      o << "]";
   59  }
   60  
   61  
   62: PaperPoint GeoRectangularProjection::operator()(const UserPoint& point) const {
   63      if (!projection_) {
   64          return PaperPoint(point.x(), point.y(), point.value(), point.missing(), point.border(), 0, point.name());
   ..
   71  }
   72  
   73: PaperPoint GeoRectangularProjection::operator()(const PaperPoint& point) const {
   74:     MagLog::dev() << "GeoRectangularProjection::operator()(...) needs implementing." << endl;
   75      return Transformation::operator()(point);
   76  }
   77  
   78: void GeoRectangularProjection::revert(const PaperPoint& xy, UserPoint& point) const {
   79      if (!projection_) {
   80          point = UserPoint(xy.x(), xy.y());
   ..
   87  
   88  
   89: void GeoRectangularProjection::revert(const vector<std::pair<double, double> >& input,
   90                                        vector<std::pair<double, double> >& output) const {
   91      output.reserve(input.size());
   ..
  106  }
  107  
  108: bool GeoRectangularProjection::needShiftedCoastlines() const {
  109      return true;
  110  }
  111  
  112: void GeoRectangularProjection::boundingBox(double& xmin, double& ymin, double& xmax, double& ymax) const {
  113      xmin             = std::min(min_longitude_, max_longitude_);
  114      xmax             = std::max(min_longitude_, max_longitude_);
  ...
  122  }
  123  
  124: void GeoRectangularProjection::smallestBoundingBox(double& xmin, double& ymin, double& xmax, double& ymax) const {
  125      xmin = std::min(min_longitude_, max_longitude_);
  126      xmax = std::max(min_longitude_, max_longitude_);
  ...
  129  }
  130  
  131: bool GeoRectangularProjection::verifyDef(const string& def) const {
  132      return (def == "EPSG:4326" || def == "CRS:84");
  133  }
  134  
  135  
  136: void GeoRectangularProjection::aspectRatio(double& w, double& h) {
  137      init();
  138      Transformation::aspectRatio(w, h);
  ...
  140  
  141  
  142: double GeoRectangularProjection::getMinX() const {
  143      return min_longitude_;
  144  }
  145  
  146: double GeoRectangularProjection::getMinY() const {
  147      return min_latitude_;
  148  }
  149  
  150: double GeoRectangularProjection::getMaxX() const {
  151      return max_longitude_;
  152  }
  153  
  154: double GeoRectangularProjection::getMaxY() const {
  155      return max_latitude_;
  156  }
  157  
  158: void GeoRectangularProjection::setMinX(double xx) {
  159      min_longitude_ = xx;
  160  }
  161  
  162: void GeoRectangularProjection::setMinY(double yy) {
  163      min_latitude_ = yy;
  164  }
  165  
  166: void GeoRectangularProjection::setMaxX(double xx) {
  167      max_longitude_ = xx;
  168  }
  169  
  170: void GeoRectangularProjection::setMaxY(double yy) {
  171      max_latitude_ = yy;
  172  }
  173  
  174: double GeoRectangularProjection::getMinPCX() const {
  175      return xpcmin_;
  176  }
  177  
  178: double GeoRectangularProjection::getMinPCY() const {
  179      return ypcmin_;
  180  }
  181  
  182: double GeoRectangularProjection::getMaxPCX() const {
  183      return xpcmax_;
  184  }
  185  
  186: double GeoRectangularProjection::getMaxPCY() const {
  187      return ypcmax_;
  188  }
  189  
  190: void GeoRectangularProjection::gridLongitudes(const GridPlotting& grid) const {
  191      const vector<double>& longitudes             = grid.longitudes();
  192      const double min                             = std::max(min_latitude_, -90.);
  ...
  205  }
  206  
  207: void GeoRectangularProjection::gridLatitudes(const GridPlotting& grid) const {
  208      const vector<double>& latitudes = grid.latitudes();
  209  
  ...
  231   \sa Text
  232  */
  233: void GeoRectangularProjection::labels(const LabelPlotting& label, TopAxisVisitor&) const {
  234      Text* text;
  235      const double cy                              = min_latitude_ + (max_latitude_ - min_latitude_) * .2;
  ...
  254   \sa Text
  255  */
  256: void GeoRectangularProjection::labels(const LabelPlotting& label, BottomAxisVisitor&) const {
  257      Text* text;
  258      const double cy                              = min_latitude_ + (max_latitude_ - min_latitude_) * .8;
  ...
  277   \sa Text
  278  */
  279: void GeoRectangularProjection::labels(const LabelPlotting& label, LeftAxisVisitor&) const {
  280      Text* text;
  281      const vector<double>& latitudes              = label.latitudes();
  ...
  295  }
  296  
  297: void GeoRectangularProjection::labels(const LabelPlotting&, DrawingVisitor&) const {}
  298  
  299  /*!
  ...
  302   \sa Text
  303  */
  304: void GeoRectangularProjection::labels(const LabelPlotting& label, RightAxisVisitor&) const {
  305      Text* text;
  306      const vector<double>& latitudes              = label.latitudes();
  ...
  320  }
  321  
  322: double GeoRectangularProjection::patchDistance(double res) const {
  323      return res;
  324  }
  325  
  326: void GeoRectangularProjection::init() {
  327      // make sure min < max!
  328      // reset any previous setting
  ...
  390  }
  391  
  392: MercatorProjection::MercatorProjection() {}
  393  
  394: MercatorProjection::~MercatorProjection() {
  395      delete projection_;
  396  }
  397  
  398: void MercatorProjection::print(ostream& o) const {
  399      o << " mercator[";
  400:     GeoRectangularProjection::print(o);
  401      o << "]";
  402  }
  403  
  404: void MercatorProjection::init() {
  405      if (!projection_)
  406          projection_ = new TeMercator(TeDatum(), 0);
  ...
  446  }
  447  
  448: bool MercatorProjection::fast_reproject(double& x, double& y) const {
  449      TeCoord2D geo = TeCoord2D(x * TeCDR, y * TeCDR);
  450      TeCoord2D xy  = projection_->LL2PC(geo);
  ...
  456  
  457  
  458: void GeoRectangularProjection::setNewPCBox(double minx, double miny, double maxx, double maxy) {
  459      PaperPoint p1(minx, miny);
  460      PaperPoint p2(maxx, maxy);
  ...
  474    \brief Set the resolution of Coastlines
  475  */
  476: void GeoRectangularProjection::coastSetting(map<string, string>& setting, double abswidth, double absheight) const {
  477      // work out the ratios of geographical to paper lengths
  478      const double xratio = (max_longitude_ - min_longitude_) / abswidth;
  ...
  502      setting["administrative_boundaries"] = "10m/ne_10m_admin_1_states_provinces_lines";
  503  
  504:     MagLog::dev() << "GeoRectangularProjection::coastSetting[" << abswidth << ", " << absheight << "]->" << ratio
  505                    << " resol: " << resol << endl;
  506  }
  507  
  508  
  509: MatrixHandler* GeoRectangularProjection::prepareData(const AbstractMatrix& matrix) const {
  510      // return new MatrixHandler(matrix);
  511      return new GeoBoxMatrixHandler(matrix, *this);
  512  }
  513  
  514: void GeoRectangularProjection::populate(double lon, double lat, double value, vector<UserPoint>& out) const {
  515      while (lon < min_longitude_)
  516          lon += 360;
  ...
  537  }
  538  
  539: void GeoRectangularProjection::wraparound(const UserPoint& origin, stack<UserPoint>& out) const {
  540      UserPoint point = origin;
  541      if (point.y_ > max_latitude_ || point.y_ < min_latitude_)
  ...
  569  }
  570  
  571: magics::Polyline& GeoRectangularProjection::getPCBoundingBox() const {
  572      if (PCEnveloppe_->empty()) {
  573          PCEnveloppe_->push_back(PaperPoint(xpcmin_, ypcmin_));
  ...
  580  }
  581  
  582: magics::Polyline& GeoRectangularProjection::getUserBoundingBox() const {
  583      if (userEnveloppe_->empty()) {
  584          userEnveloppe_->push_back(PaperPoint(min_longitude_, min_latitude_));
  ...
  591  }
  592  
  593: void GeoRectangularProjection::getNewDefinition(const UserPoint& ll, const UserPoint& ur, string& out) const {
  594      map<string, string> def;
  595      def["subpage_map_projection"]        = "cylindrical";
  ...
  603  }
  604  
  605: void GeoRectangularProjection::setDefinition(const string& json) {
  606      if (json.empty())
  607          return;
  ...
  615  }
  616  
  617: double MercatorProjection::patchDistance(double) const {
  618      return 1000000;
  619  }
  620  
  621: double GeoRectangularProjection::ratio() const {
  622      // return domain/fulldomain!
  623  

/Users/sylvie/git/magics/src/common/GeoRectangularProjection.h:
   10  
   11  /*!
   12:     \file GeoRectangularProjection.h
   13:     \brief Definition of GeoRectangularProjection.
   14      \author Meteorological Visualisation Section, ECMWF
   15  
   ..
   17  */
   18  
   19: #ifndef _GeoRectangularProjection_H
   20: #define _GeoRectangularProjection_H
   21  
   22: #include <GeoRectangularProjectionAttributes.h>
   23  #include <Transformation.h>
   24  #include <XmlNode.h>
   ..
   26  namespace magics {
   27  
   28: /*! \class GeoRectangularProjection
   29      \brief Implements a new projection
   30      \ingroup projection
   ..
   33  */
   34  
   35: class GeoRectangularProjection : public Transformation, public GeoRectangularProjectionAttributes {
   36  public:
   37:     GeoRectangularProjection();
   38:     ~GeoRectangularProjection();
   39  
   40      /*!
   ..
   43      void set(const XmlNode& node) {
   44          Transformation::set(node);
   45:         GeoRectangularProjectionAttributes::set(node);
   46          init();
   47      }
   ..
   53      void set(const map<string, string>& map) {
   54          Transformation::set(map);
   55:         GeoRectangularProjectionAttributes::set(map);
   56          init();
   57      }
   ..
   59      double ratio() const;
   60      virtual Transformation* clone() const {
   61:         GeoRectangularProjection* transformation = new GeoRectangularProjection();
   62          transformation->copy(*this);
   63          return transformation;
   ..
  174      virtual void init();
  175  
  176:     mutable TeProjection* projection_;
  177      double xpcmin_;
  178      double ypcmin_;
  ...
  182  private:
  183      //! Copy constructor - No copy allowed
  184:     GeoRectangularProjection(const GeoRectangularProjection&);
  185      //! Overloaded << operator to copy - No copy allowed
  186:     GeoRectangularProjection& operator=(const GeoRectangularProjection&);
  187  
  188      // -- Friends
  189      //! Overloaded << operator to call print().
  190:     friend ostream& operator<<(ostream& s, const GeoRectangularProjection& p) {
  191          p.print(s);
  192          return s;
  ...
  194  };
  195  
  196: class MercatorProjection : public GeoRectangularProjection {
  197  public:
  198:     MercatorProjection();
  199:     ~MercatorProjection();
  200      bool fast_reproject(double& x, double& y) const;
  201      double patchDistance(double) const;

/Users/sylvie/git/magics/src/common/GribInterpretor.h:
   42  }
   43  
   44: void ProjectedMatrix::build() {
   45      vector<std::pair<int, int> > coords(4);
   46      for (int r = 0; r < rows_; r++)
   ..
  158  }
  159  
  160: void ProjectedMatrix::getReady() {
  161      ASSERT(!values_.empty());
  162      ASSERT(!rowsArray_.empty());
  ...
  194  
  195  
  196: ProjectedMatrix::ProjectedMatrix(int rows, int columns) : Matrix(rows, columns) {
  197      origColumns_ = columns;
  198      origRows_    = rows;

/Users/sylvie/git/magics/src/common/MagicsCalls.cc:
  667  };
  668  
  669: class SubpageMapProjectionNone : public CompatibilityHelper {
  670  public:
  671:     SubpageMapProjectionNone() : CompatibilityHelper("subpage_map_projection") {}
  672:     ~SubpageMapProjectionNone() {}
  673      bool operator()(const string& projection) {
  674          string fix = projection;
  ...
  819  
  820  
  821: static SubpageMapProjectionNone subpage_map_projection_none;
  822  static NoMoreGribex grib_mode("grib_mode");
  823  static NoMoreGribex grib_product_block("grib_product_block");

/Users/sylvie/git/magics/src/common/Matrix.cc:
   56  }
   57  
   58: void ProjectedMatrix::build() {}
   59  
   60: void ProjectedMatrix::getReady() {
   61      ASSERT(!values_.empty());
   62      ASSERT(!rowsArray_.empty());
   ..
   94  
   95  
   96: ProjectedMatrix::ProjectedMatrix(int rows, int columns) : Matrix(rows, columns) {
   97      origColumns_ = columns;
   98      origRows_    = rows;
   ..
  561  }
  562  
  563: MatrixHandler* Proj4Matrix::getReady(const Transformation&) const {
  564:     return new Proj4MatrixHandler(*this, proj4_);
  565  }
  566  
  ...
  570  
  571  
  572: Proj4MatrixHandler::Proj4MatrixHandler(const AbstractMatrix& matrix, const string& proj4) : MatrixHandler(matrix) {
  573      proj4_    = pj_init_plus(proj4.c_str());
  574      latlon_   = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  ...
  584  
  585  
  586: double Proj4MatrixHandler::interpolate(double row, double column) const {
  587      if (internal_)
  588          return MatrixHandler::interpolate(row, column);
  ...
  597  }
  598  
  599: double Proj4MatrixHandler::nearest(double row, double column) const {
  600      if (internal_)
  601          return MatrixHandler::nearest(row, column);
  ...
  658  }
  659  
  660: double Proj4MatrixHandler::column(int i, int j) const {
  661      double column = MatrixHandler::column(i, j);
  662      double row    = MatrixHandler::row(i, j);
  ...
  668  }
  669  
  670: double Proj4MatrixHandler::row(int i, int j) const {
  671      double column = MatrixHandler::column(i, j);
  672      double row    = MatrixHandler::row(i, j);

/Users/sylvie/git/magics/src/common/Matrix.h:
  465  
  466  
  467: class ProjectedMatrix : public Matrix {
  468  public:
  469:     ProjectedMatrix(int rows, int columns);
  470  
  471  
  ...
  498  };
  499  
  500: class Proj4Matrix : public Matrix {
  501  public:
  502:     Proj4Matrix(const string& proj4) : Matrix(), proj4_(proj4) {}
  503      MatrixHandler* getReady(const Transformation&) const;
  504  

/Users/sylvie/git/magics/src/common/MatrixHandler.h:
  491  #include <proj.h>
  492  
  493: class Proj4MatrixHandler : public MatrixHandler {
  494   public:
  495:   Proj4MatrixHandler(const AbstractMatrix& matrix, const string&);
  496  
  497    double interpolate(double row, double column) const;

/Users/sylvie/git/magics/src/common/PolarStereographicProjection.cc:
    9   */
   10  
   11: /*! \file PolarStereographicProjection.cc
   12:     \brief Implementation of PolarStereographicProjection.
   13      \author Meteorological Visualisation Section, ECMWF
   14  
   ..
   24  #include <MetaData.h>
   25  #include <ParameterSettings.h>
   26: #include <PolarStereographicProjection.h>
   27  #include <Text.h>
   28  #include <math.h>
   ..
   34    \brief Constructor
   35  */
   36: PolarStereographicProjection::PolarStereographicProjection() : projection_(0) {
   37      projection_ = new TePolarStereographic(TeDatum(), vertical_longitude_ * TeCDR, 0., 0., "Meters", TeNORTH_HEM);
   38      // Setup constnat variables for tiling
   ..
   55    \brief Destructor
   56  */
   57: PolarStereographicProjection::~PolarStereographicProjection() {
   58      delete projection_;
   59  }
   60  
   61: void PolarStereographicProjection::print(ostream& out) const {
   62:     out << "PolarStereographicProjection[";
   63:     PolarStereographicProjectionAttributes::print(out);
   64      out << "]";
   65  }
   66  
   67: double PolarStereographicProjection::unitToCm(double width, double height) const {
   68      // Reproject 2 point and find the unit
   69      const int hemis = (hemisphere_ == NORTH) ? 1 : -1;
   ..
   81  }
   82  
   83: double PolarStereographicProjection::height() const {
   84      // Reproject 2 point and find the unit
   85      int hemis = (hemisphere_ == NORTH) ? 1 : -1;
   ..
  105  }
  106  
  107: PaperPoint PolarStereographicProjection::operator()(const UserPoint& point) const {
  108      ASSERT(projection_);
  109  
  ...
  115  
  116  
  117: PaperPoint PolarStereographicProjection::operator()(const PaperPoint& point) const {
  118      return Transformation::operator()(point);
  119  }
  120  
  121: void PolarStereographicProjection::revert(const vector<std::pair<double, double> >& in,
  122                                            vector<std::pair<double, double> >& out) const {
  123      ASSERT(projection_);
  ...
  135  }
  136  
  137: void PolarStereographicProjection::revert(const PaperPoint& xy, UserPoint& point) const {
  138      ASSERT(projection_);
  139      TeCoord2D texy = TeCoord2D(xy.x(), xy.y());
  ...
  144  
  145  
  146: bool PolarStereographicProjection::needShiftedCoastlines() const {
  147      return false;
  148  }
  149  
  150: void PolarStereographicProjection::init(double width, double height) {
  151      if (!projection_)
  152          projection_ = new TePolarStereographic(TeDatum(), vertical_longitude_ * TeCDR, 0., 0., "Meters",
  ...
  285  
  286  
  287:         MagLog::dev() << " Projection definition-->[" << ymin_ << ", " << xmin_ << ", " << xmax_ << ", " << ymax_ << "]"
  288                        << endl;
  289      }
  ...
  297  }
  298  
  299: void PolarStereographicProjection::fill(double& width, double& height) {
  300      init(width, height);
  301      Transformation::fill(width, height);
  ...
  303  }
  304  
  305: void PolarStereographicProjection::tile(double& width, double& height) {
  306      init(width, height);
  307      Transformation::tile(width, height);
  ...
  309  }
  310  
  311: void PolarStereographicProjection::aspectRatio(double& width, double& height) {
  312      init(width, height);
  313      Transformation::aspectRatio(width, height);
  314  }
  315  
  316: void PolarStereographicProjection::smallestBoundingBox(double& xmin, double& ymin, double& xmax, double& ymax) const {
  317      vector<std::pair<double, double> > geo;
  318      vector<std::pair<double, double> > xy;
  ...
  353  }
  354  
  355: void PolarStereographicProjection::boundingBox(double& xmin, double& ymin, double& xmax, double& ymax) const {
  356      smallestBoundingBox(xmin, ymin, xmax, ymax);
  357      xmin -= 5;
  ...
  360      ymax += 5;
  361  
  362:     MagLog::dev() << " Projection bounding box-->[" << xmin << ", " << xmax << ", " << ymin << ", " << ymax << "]"
  363                    << endl;
  364  }
  365  
  366: double PolarStereographicProjection::getMinX() const {
  367      return xmin_;
  368  }
  369  
  370: double PolarStereographicProjection::getMinY() const {
  371      return ymin_;
  372  }
  373  
  374: double PolarStereographicProjection::getMaxX() const {
  375      return xmax_;
  376  }
  377  
  378: double PolarStereographicProjection::getMaxY() const {
  379      return ymax_;
  380  }
  381  
  382: double PolarStereographicProjection::getMinPCX() const {
  383      return xpcmin_;
  384  }
  385  
  386: double PolarStereographicProjection::getMinPCY() const {
  387      return ypcmin_;
  388  }
  389  
  390: double PolarStereographicProjection::getMaxPCX() const {
  391      return xpcmax_;
  392  }
  393  
  394: double PolarStereographicProjection::getMaxPCY() const {
  395      return ypcmax_;
  396  }
  397  
  398: void PolarStereographicProjection::gridLongitudes(const GridPlotting& grid) const {
  399      const vector<double>& longitudes = grid.longitudes();
  400      const vector<double>& latitudes  = grid.latitudes();
  ...
  421  }
  422  
  423: void PolarStereographicProjection::gridLatitudes(const GridPlotting& grid) const {
  424      const vector<double>& latitudes = grid.latitudes();
  425      for (vector<double>::const_iterator lat = latitudes.begin(); lat != latitudes.end(); ++lat) {
  ...
  453  }
  454  
  455: void PolarStereographicProjection::horizontalLabels(const LabelPlotting& label, double y, double yy, bool top) const {
  456      double xmin, ymin, xmax, ymax;
  457      boundingBox(xmin, ymin, xmax, ymax);
  ...
  507  
  508  */
  509: void PolarStereographicProjection::verticalLabels(const LabelPlotting& label, double x, double xx, bool left) const {
  510      const vector<double>& longitudes = label.longitudes();
  511  
  ...
  556  
  557  
  558: void PolarStereographicProjection::labels(const LabelPlotting& label, DrawingVisitor&) const {
  559      Text* text;
  560      const vector<double>& latitudes = label.latitudes();
  ...
  585  }
  586  
  587: void PolarStereographicProjection::labels(const LabelPlotting& label, TopAxisVisitor&) const {
  588      // Find intersection of the latitude line  with the top!
  589      // Y = top
  ...
  593  }
  594  
  595: void PolarStereographicProjection::labels(const LabelPlotting& label, BottomAxisVisitor&) const {
  596      // Find intersection of the latitude line  with the bottom!
  597      // Y = bottom
  ...
  601  }
  602  
  603: void PolarStereographicProjection::labels(const LabelPlotting& label, LeftAxisVisitor&) const {
  604      // Find intersection of the latitude line  with the left!
  605      // X = left
  ...
  609  }
  610  
  611: void PolarStereographicProjection::labels(const LabelPlotting& label, RightAxisVisitor&) const {
  612      // Find intersection of the latitude line  with the right!
  613      // X = right
  ...
  620   This method generates meta output for web interaction through JavaScript...
  621  */
  622: void PolarStereographicProjection::visit(MetaDataVisitor& visitor, double left, double top, double width, double height,
  623                                           double img_width, double img_height) {
  624      ostringstream java;
  ...
  650  }
  651  
  652: void PolarStereographicProjection::corners() {
  653      // For backwards compatibility!
  654      if (min_longitude_ == -180 && max_longitude_ == 180 && min_latitude_ == -90 && max_latitude_ == 90) {
  ...
  666  
  667  
  668: void PolarStereographicProjection::centre(double width, double height) {
  669      PaperPoint centre = (*this)(UserPoint(centre_longitude_, centre_latitude_));
  670  
  ...
  697   The default value is 2.0, e.g. the statement
  698  */
  699: void PolarStereographicProjection::thin(MatrixHandler& matrix, double x, double y, vector<UserPoint>& out) const {
  700      Transformation::thin(matrix, x, y, out);
  701      return;
  ...
  728  
  729  
  730: void PolarStereographicProjection::setNewPCBox(double minx, double miny, double maxx, double maxy) {
  731      PaperPoint p1(minx, miny);
  732      PaperPoint p2(maxx, maxy);
  ...
  757  }
  758  
  759: void PolarStereographicProjection::operator()(const UserPoint& geo, vector<PaperPoint>& out) const {
  760      PaperPoint pp = (*this)(geo);
  761      if (in(pp))
  ...
  763  }
  764  
  765: void PolarStereographicProjection::reprojectComponents(double& x, double& y, pair<double, double>& components) const {
  766      double speed = sqrt((components.first * components.first) + (components.second * components.second));
  767      double angle = atan2(components.second, components.first);
  ...
  782  }
  783  
  784: void PolarStereographicProjection::reprojectSpeedDirection(const PaperPoint& point, pair<double, double>& wind) const {
  785      double x = point.x_;
  786      double y = point.y_;
  ...
  797  }
  798  
  799: void PolarStereographicProjection::coastSetting(map<string, string>& setting, double abswidth, double absheight) const {
  800      // work out the ratios of geographical to paper lengths
  801      const double xratio = (xpcmax_ - xpcmin_) / abswidth;
  ...
  824      setting["administrative_boundaries"] = "10m/ne_10m_admin_1_states_provinces_lines";
  825  
  826:     MagLog::dev() << "GeoRectangularProjection::coastSetting[" << abswidth << ", " << absheight << "]->" << ratio
  827                    << " resol: " << resol << endl;
  828  }
  829  
  830: MatrixHandler* PolarStereographicProjection::prepareData(const AbstractMatrix& matrix) const {
  831      return new GeoBoxMatrixHandler(matrix, *this);
  832  }
  833  
  834: void PolarStereographicProjection::wraparound(const UserPoint& point, stack<UserPoint>& duplicates) const {
  835      if (in(point)) {
  836          duplicates.push(point);
  ...
  838  }
  839  
  840: magics::Polyline& PolarStereographicProjection::getPCBoundingBox() const {
  841      if (PCEnveloppe_->empty()) {
  842          getUserBoundingBox();
  ...
  846  }
  847  
  848: magics::Polyline& PolarStereographicProjection::getUserBoundingBox() const {
  849      const double minlat = -90.;
  850      const double maxlat = 90.;
  ...
  874  
  875  
  876: double PolarStereographicProjection::patchDistance(double res) const {
  877      /*
  878      UserPoint geo1(0,60);
  ...
  887  }
  888  
  889: bool PolarStereographicProjection::fast_reproject(double& x, double& y) const {
  890      TeCoord2D geo = TeCoord2D(x * TeCDR, y * TeCDR);
  891      TeCoord2D xy  = projection_->LL2PC(geo);
  ...
  895  }
  896  
  897: void PolarStereographicProjection::getNewDefinition(const UserPoint& ll, const UserPoint& ur, string& out) const {
  898      map<string, string> def;
  899      def["subpage_map_projection"]      = "polar_stereographic";
  ...
  910  }
  911  
  912: void PolarStereographicProjection::setDefinition(const string& json) {
  913      if (json.empty())
  914          return;
  ...
  922  }
  923  
  924: UserPoint PolarStereographicProjection::reference() const {
  925      UserPoint ll = (hemisphere_ == NORTH) ? UserPoint(0, 60) : UserPoint(0, -60);
  926      return ll;

/Users/sylvie/git/magics/src/common/PolarStereographicProjection.h:
   10  
   11  /*!
   12:     \file PolarStereographicProjection.h
   13:     \brief Definition of PolarStereographicProjection.
   14      \author Meteorological Visualisation Section, ECMWF
   15  
   ..
   17  */
   18  
   19: #ifndef _PolarStereographicProjection_H
   20: #define _PolarStereographicProjection_H
   21  
   22: #include <PolarStereographicProjectionAttributes.h>
   23  #include <Transformation.h>
   24  #include <XmlNode.h>
   ..
   26  namespace magics {
   27  
   28: /*! \class PolarStereographicProjection
   29      \brief Implements a new projection
   30      \ingroup projection
   ..
   33  */
   34  
   35: class PolarStereographicProjection : public Transformation, public PolarStereographicProjectionAttributes {
   36  public:
   37:     PolarStereographicProjection();
   38:     ~PolarStereographicProjection();
   39  
   40      /*!
   ..
   43      void set(const XmlNode& node) {
   44          Transformation::set(node);
   45:         PolarStereographicProjectionAttributes::set(node);
   46      }
   47      /*!
   ..
   50      void set(const map<string, string>& map) {
   51          Transformation::set(map);
   52:         PolarStereographicProjectionAttributes::set(map);
   53      }
   54  
   55      virtual Transformation* clone() const {
   56:         PolarStereographicProjection* transformation = new PolarStereographicProjection();
   57          transformation->copy(*this);
   58          return transformation;
   ..
  160  
  161      // Needed for Image processing!
  162:     virtual TeProjection& getProjection() { return *projection_; }
  163      double dimension(BasicGraphicsObjectContainer& parent) const { return parent.absoluteHeight(); }
  164      void getNewDefinition(const UserPoint&, const UserPoint&, string&) const;
  165      void setDefinition(const string&);
  166      UserPoint reference() const;
  167:     virtual void geoProjection(int& geo) const { geo = 1; }  // Useful for Streamlines !
  168  protected:
  169      //! Method to print string about this class on to a stream of type ostream (virtual).
  ...
  175      void horizontalLabels(const LabelPlotting&, double, double, bool) const;
  176  
  177:     mutable TeProjection* projection_;
  178  
  179      double xmin_;
  ...
  197  private:
  198      //! Copy constructor - No copy allowed
  199:     PolarStereographicProjection(const PolarStereographicProjection&);
  200      //! Overloaded << operator to copy - No copy allowed
  201:     PolarStereographicProjection& operator=(const PolarStereographicProjection&);
  202  
  203      // -- Friends
  204      //! Overloaded << operator to call print().
  205:     friend ostream& operator<<(ostream& s, const PolarStereographicProjection& p) {
  206          p.print(s);
  207          return s;

/Users/sylvie/git/magics/src/common/Proj4Projection.cc:
    9   */
   10  
   11: /*! \file Proj4Projection.cc
   12:     \brief Implementation of Proj4Projection.
   13      \author Meteorological Visualisation Section, ECMWF
   14  
   ..
   24  #include <ParameterSettings.h>
   25  #include <Polyline.h>
   26: #include <Proj4Projection.h>
   27  #include <Text.h>
   28  #include <cmath>
   ..
   50      string definition_;
   51  
   52:     typedef void (Epsg::*InitMethod)(const Proj4Projection&);
   53      typedef void (Epsg::*Method)(const json_spirit::Value&);
   54      map<string, Method> methods_;
   ..
   62      void method(const json_spirit::Value& value) { method_ = value.get_value<string>(); }
   63  
   64:     void init(const Proj4Projection& from) {
   65          map<string, InitMethod>::iterator initmethod = initMethods_.find(name_);
   66          if (initmethod != initMethods_.end()) {
   ..
   69      }
   70  
   71:     void geosinit(const Proj4Projection& from) {
   72          minlon_ = from.vertical_longitude_ - 80;
   73          maxlon_ = from.vertical_longitude_ + 80;
   ..
   83      }
   84  
   85:     void tpersinit(const Proj4Projection& from) {
   86          ostringstream def;
   87  
   ..
   94      }
   95  
   96:     void polarinit(const Proj4Projection& from) {
   97          ostringstream def;
   98  
   ..
  103      }
  104  
  105:     void polarsouthinit(const Proj4Projection& from) {
  106          ostringstream def;
  107  
  ...
  124      void set(const json_spirit::Value&);
  125  
  126:     static Epsg* find(const Proj4Projection& from) {
  127          string name                       = lowerCase(from.name());
  128          map<string, Epsg*>::iterator epsg = epsgs_.find(name);
  ...
  185    \brief Constructor
  186  */
  187: Proj4Projection::Proj4Projection(const string& definition) :
  188      definition_(definition),
  189      gridMinLon_(DBL_MAX),
  ...
  197  }
  198  
  199: Proj4Projection::Proj4Projection() :
  200      gridMinLon_(DBL_MAX),
  201      gridMinLat_(DBL_MAX),
  ...
  207      config.init();
  208  }
  209: void Proj4Projection::populate(double lon, double lat, double val, vector<UserPoint>& out) const {
  210      if (in(lon, lat))
  211          out.push_back(UserPoint(lon, lat, val));
  ...
  220    \brief Destructor
  221  */
  222: Proj4Projection::~Proj4Projection() {}
  223  
  224: void Proj4Projection::print(ostream& out) const {
  225:     out << "Proj4Projection[";
  226:     Proj4ProjectionAttributes::print(out);
  227      out << "]";
  228  }
  229  
  230: magics::Polyline& Proj4Projection::getPCBoundingBox() const {
  231      return *PCEnveloppe_;
  232  }
  233  
  234: magics::Polyline& Proj4Projection::getUserBoundingBox() const {
  235      return *userEnveloppe_;
  236  }
  237  
  238: void Proj4Projection::init() {
  239:     MagLog::dev() << "Proj4Projection::init()" << *this << endl;
  240  
  241      from_       = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  ...
  250  
  251  
  252:     methods_["geos"]   = &Proj4Projection::geos;
  253:     methods_["tpers"]  = &Proj4Projection::tpers;
  254:     methods_["polar"]  = &Proj4Projection::conic;
  255:     methods_["conic"]  = &Proj4Projection::conic;
  256:     methods_["simple"] = &Proj4Projection::simple;
  257  
  258      map<string, InitMethod>::iterator method = methods_.find(projection_->method_);
  ...
  262          simple();
  263  
  264:     helpers_["full"]       = &Proj4Projection::full;
  265:     helpers_["corners"]    = &Proj4Projection::corners;
  266:     helpers_["centre"]     = &Proj4Projection::centre;
  267:     helpers_["projection"] = &Proj4Projection::projectionSimple;
  268  
  269      if (coordinates_system_ == "projection")
  ...
  286  }
  287  
  288: bool Proj4Projection::addSouth() const {
  289      return (projection_->method_ == "simple");
  290  }
  291: void Proj4Projection::full() {
  292      if (projection_->method_ == "simple") {
  293          if (max_longitude_ != 180.) {
  ...
  336  
  337  
  338: void Proj4Projection::wrap(double& x, double& y) {}
  339  
  340: void Proj4Projection::corners() {
  341      // we have to update the PCBounding box!
  342      min_pcx_ = min_longitude_;
  ...
  354  }
  355  
  356: void Proj4Projection::centre() {}
  357  
  358: PaperPoint Proj4Projection::operator()(const UserPoint& point) const {
  359      if (!from_) {
  360          from_       = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  ...
  382  }
  383  
  384: PaperPoint Proj4Projection::operator()(const PaperPoint& point) const {
  385:     MagLog::dev() << "Proj4Projection::operator()(...) needs implementing." << endl;
  386      return Transformation::operator()(point);
  387  }
  388  
  389: void Proj4Projection::setNewPCBox(double minx, double miny, double maxx, double maxy) {
  390      PaperPoint p1(minx, miny);
  391      PaperPoint p2(maxx, maxy);
  ...
  405  }
  406  
  407: void Proj4Projection::revert(const PaperPoint& xy, UserPoint& point) const {
  408      static bool first = true;
  409      if (first) {
  410:         const_cast<Proj4Projection*>(this)->init();
  411          first = false;
  412      }
  ...
  436  
  437  
  438: bool Proj4Projection::needShiftedCoastlines() const {
  439      // Will need w new parameter to know!
  440      return false;
  441  }
  442  
  443: void Proj4Projection::aspectRatio(double& width, double& height) {
  444:     MagLog::dev() << "Proj4Projection::aspectRatio(...) needs implementing." << endl;
  445      Transformation::aspectRatio(width, height);
  446  }
  447  
  448  
  449: void Proj4Projection::add(double lon, double lat) {
  450      double x  = lon * DEG_TO_RAD;
  451      double y  = DEG_TO_RAD * lat;
  ...
  474  }
  475  
  476: void Proj4Projection::conic() {
  477      userEnveloppe_->clear();
  478      PCEnveloppe_->clear();
  ...
  491  
  492  
  493: void Proj4Projection::simple() {
  494      userEnveloppe_->clear();
  495      PCEnveloppe_->clear();
  ...
  518  }
  519  
  520: void Proj4Projection::projectionSimple() {
  521      min_pcx_ = min_longitude_;
  522      min_pcy_ = min_latitude_;
  ...
  542      PCEnveloppe_->intersect(box, newbox);
  543      if (newbox.empty()) {
  544:         MagLog::warning() << "Proj4 : the sub-area is not valid : use global view instead" << endl;
  545      }
  546      else {
  ...
  553  
  554  
  555: void Proj4Projection::geos() {
  556      userEnveloppe_->clear();
  557      PCEnveloppe_->clear();
  ...
  607  }
  608  
  609: magics::Polyline& Proj4Projection::getSimplePCBoundingBox() const {
  610      static magics::Polyline box;
  611      box.box(PaperPoint(min_pcx_, min_pcy_), PaperPoint(max_pcx_, max_pcy_));
  ...
  614      PCEnveloppe_->intersect(box, newbox);
  615      if (newbox.empty()) {
  616:         MagLog::warning() << "Proj4 : the sub-area is not valid : use global view instead" << endl;
  617      }
  618      else {
  ...
  623  }
  624  
  625: void Proj4Projection::tpers() {
  626      userEnveloppe_->clear();
  627      PCEnveloppe_->clear();
  ...
  715  
  716  
  717: void Proj4Projection::boundingBox(double& xmin, double& ymin, double& xmax, double& ymax) const {
  718      if (!from_) {
  719          from_ = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  ...
  729  }
  730  
  731: double Proj4Projection::getMinX() const {
  732      return gridMinLon_;
  733  }
  734  
  735: double Proj4Projection::getMinY() const {
  736      return gridMinLat_;
  737  }
  738  
  739: double Proj4Projection::getMaxX() const {
  740      return gridMaxLon_;
  741  }
  742  
  743: double Proj4Projection::getMaxY() const {
  744      return gridMaxLat_;
  745  }
  746  
  747: void Proj4Projection::setMinX(double x) {
  748      min_longitude_ = x;
  749  }
  750  
  751: void Proj4Projection::setMinY(double y) {
  752      min_latitude_ = y;
  753  }
  754  
  755: void Proj4Projection::setMaxX(double x) {
  756      max_longitude_ = x;
  757  }
  758  
  759: void Proj4Projection::setMaxY(double y) {
  760      max_latitude_ = y;
  761  }
  762  
  763: double Proj4Projection::getMinPCX() const {
  764      return min_pcx_;
  765  }
  766  
  767: double Proj4Projection::getMinPCY() const {
  768      return min_pcy_;
  769  }
  770  
  771: double Proj4Projection::getMaxPCX() const {
  772      return max_pcx_;
  773  }
  774  
  775: double Proj4Projection::getMaxPCY() const {
  776      return max_pcy_;
  777  }
  778  
  779: void Proj4Projection::fill(double& width, double& height) {
  780      Transformation::fill(width, height);
  781      setting_       = "projection";
  ...
  785      max_latitude_  = max_pcy_;
  786  }
  787: void Proj4Projection::gridLongitudes(const GridPlotting& grid) const {
  788      vector<double> longitudes = grid.longitudes();
  789  
  ...
  820  }
  821  
  822: void Proj4Projection::gridLatitudes(const GridPlotting& grid) const {
  823      const vector<double>& latitudes = grid.latitudes();
  824  
  ...
  851  }
  852  
  853: void Proj4Projection::labels(const LabelPlotting& label, DrawingVisitor& visitor) const {
  854      if (projection_->method_ == "simple")
  855          return;
  ...
  884  
  885  
  886: void Proj4Projection::labels(const LabelPlotting& label, LeftAxisVisitor& visitor) const {
  887      if (projection_->method_ == "simple") {
  888          const vector<double>& latitudes = label.latitudes();
  ...
  914  }
  915  
  916: void Proj4Projection::labels(const LabelPlotting& label, RightAxisVisitor& visitor) const {
  917      if (projection_->method_ == "simple") {
  918          const vector<double>& latitudes = label.latitudes();
  ...
  943  }
  944  
  945: void Proj4Projection::labels(const LabelPlotting& label, BottomAxisVisitor& visitor) const {
  946      if (projection_->method_ == "simple") {
  947          const vector<double>& longitudes = label.longitudes();
  ...
  993  }
  994  
  995: void Proj4Projection::verticalLabels(const LabelPlotting& label, double x, double pos, Justification justif) const {
  996      const vector<double>& longitudes = label.longitudes();
  997      for (vector<double>::const_iterator lon = longitudes.begin(); lon != longitudes.end(); ++lon) {
  ...
 1024  }
 1025  
 1026: void Proj4Projection::horizontalLabels(const LabelPlotting& label, double y, double pos, VerticalAlign align) const {
 1027      const vector<double>& longitudes = label.longitudes();
 1028      for (vector<double>::const_iterator lon = longitudes.begin(); lon != longitudes.end(); ++lon) {
 ....
 1055  }
 1056  
 1057: void Proj4Projection::labels(const LabelPlotting& label, TopAxisVisitor& visitor) const {
 1058      if (projection_->method_ == "simple") {
 1059          const vector<double>& longitudes = label.longitudes();
 ....
 1084  }
 1085  
 1086: void Proj4Projection::reprojectComponents(double& x, double& y, pair<double, double>& components) const {
 1087      const double speed = sqrt((components.first * components.first) + (components.second * components.second));
 1088      const double angle = atan2(components.second, components.first);
 ....
 1108  }
 1109  
 1110: void Proj4Projection::reprojectSpeedDirection(const PaperPoint& point, pair<double, double>& wind) const {
 1111      double x = point.x_;
 1112      double y = point.y_;
 ....
 1123  }
 1124  
 1125: void Proj4Projection::revert(const vector<std::pair<double, double> >& in,
 1126                               vector<std::pair<double, double> >& out) const {
 1127:     const_cast<Proj4Projection*>(this)->init();
 1128      out.reserve(in.size());
 1129      for (vector<std::pair<double, double> >::const_iterator pt = in.begin(); pt != in.end(); ++pt) {
 ....
 1155  }
 1156  
 1157: void Proj4Projection::coastSetting(map<string, string>& setting, double abswidth, double absheight) const {
 1158      // work out the ratios of geographical to paper lengths
 1159      // const double xratio = ( xpcmax_ - xpcmin_ ) / abswidth;
 ....
 1187  }
 1188  
 1189: void Proj4Projection::visit(MetaDataVisitor& visitor, double left, double top, double width, double height,
 1190                              double iwidth, double iheight) {
 1191      ostringstream java;
 ....
 1217  }
 1218  
 1219: MatrixHandler* Proj4Projection::prepareData(const AbstractMatrix& matrix) const {
 1220      return new GeoBoxMatrixHandler(matrix, *this);
 1221  }
 1222  
 1223: bool Proj4Projection::fast_reproject(double& x, double& y) const {
 1224      int factor = 0;
 1225      if (wraparound_) {
 ....
 1243  }
 1244  
 1245: double Proj4Projection::patchDistance(double res) const {
 1246      double x1 = 0;
 1247      double y1 = 60;
 ....
 1255  }
 1256  
 1257: void Proj4Projection::collect(MetaDataCollector& collector) const {
 1258:     collector["Projection"]        = definition_;
 1259:     collector["Proj4  Definition"] = projection_->definition();
 1260  }
 1261  
 1262: void Proj4Projection::getNewDefinition(const UserPoint& ll, const UserPoint& ur, string& out) const {
 1263      map<string, string> def;
 1264      def["subpage_map_projection"]        = definition_;
 ....
 1272  }
 1273  
 1274: void Proj4Projection::setDefinition(const string& json) {
 1275      if (json.empty())
 1276          return;
 ....
 1285  
 1286  
 1287: void Proj4Automatic::setMinMaxX(double min, double max) {
 1288      min_longitude_ = min;
 1289      max_longitude_ = max;
 ....
 1291  
 1292  
 1293: void Proj4Automatic::setMinMaxY(double min, double max) {
 1294      min_latitude_ = min;
 1295      max_latitude_ = max;
 ....
 1332  }
 1333  
 1334: void Proj4Automatic::init() {
 1335      if (init_)
 1336:         Proj4Projection::init();
 1337  }
 1338  
 1339: Proj4Automatic::Proj4Automatic() : Proj4Projection("automatic"), init_(false) {}
 1340  
 1341: void Proj4Automatic::aspectRatio(double& width, double& height) {
 1342      width_  = width;
 1343      height_ = height;
 ....
 1345  
 1346  
 1347: void Proj4Automatic::setNewPCBox(double minx, double miny, double maxx, double maxy) {
 1348      double x  = minx;
 1349      double y  = miny;

/Users/sylvie/git/magics/src/common/Proj4Projection.h:
   10  
   11  /*!
   12:     \file Proj4Projection.h
   13:     \brief Definition of Proj4Projection.
   14      \author Meteorological Visualisation Section, ECMWF
   15  
   ..
   17  */
   18  
   19: #ifndef _Proj4Projection_H
   20: #define _Proj4Projection_H
   21  
   22: #include <Proj4ProjectionAttributes.h>
   23  #include <Transformation.h>
   24  #include <XmlNode.h>
   ..
   35  class MetaDataVisistor;
   36  class Epsg;
   37: /*! \class Proj4Projection
   38      \brief Implements a new projection
   39      \ingroup projection
   ..
   42  */
   43  
   44: class Proj4Projection : public Transformation,
   45:                         public Proj4ProjectionAttributes {
   46   public:
   47:   Proj4Projection();
   48:   Proj4Projection(const string& definition);
   49:   ~Proj4Projection();
   50  
   51    /*!
   ..
   54    void set(const XmlNode& node) {
   55      Transformation::set(node);
   56:     Proj4ProjectionAttributes::set(node);
   57      init();
   58    }
   ..
   62    void set(const map<string, string>& map) {
   63      Transformation::set(map);
   64:     Proj4ProjectionAttributes::set(map);
   65      init();
   66    }
   67  
   68    virtual Transformation* clone() const {
   69:     Proj4Projection* transformation = new Proj4Projection(definition_);
   70      transformation->copy(*this);
   71      return transformation;
   ..
  203    Polyline& getUserBoundingBox() const;
  204  
  205:   typedef void (Proj4Projection::*InitMethod)();
  206    map<string, InitMethod> methods_;
  207  
  ...
  222    void reprojectSpeedDirection(const PaperPoint& point,
  223                                 pair<double, double>&) const;
  224:   virtual void geoProjection(int& geo) const {
  225      geo = 1;
  226    }  // Useful for Streamlines !
  ...
  231    //! Method to print string about this class on to a stream of type ostream
  232    //! (virtual).
  233:   typedef void (Proj4Projection::*SettingHelper)();
  234    map<string, SettingHelper> helpers_;
  235  
  ...
  258   private:
  259    //! Copy constructor - No copy allowed
  260:   Proj4Projection(const Proj4Projection&);
  261    //! Overloaded << operator to copy - No copy allowed
  262:   Proj4Projection& operator=(const Proj4Projection&);
  263  
  264    // -- Friends
  265    //! Overloaded << operator to call print().
  266:   friend ostream& operator<<(ostream& s, const Proj4Projection& p) {
  267      p.print(s);
  268      return s;
  ...
  270  };
  271  
  272: class Proj4PolarNorth : public Proj4Projection {
  273   public:
  274:   Proj4PolarNorth() : Proj4Projection("polar_north") {}
  275  };
  276  
  277: class Proj4PolarSouth : public Proj4Projection {
  278   public:
  279:   Proj4PolarSouth() : Proj4Projection("polar_south") {}
  280  };
  281  
  282: class Proj4Lambert : public Proj4Projection {
  283   public:
  284:   Proj4Lambert() : Proj4Projection("lambert") {}
  285  };
  286: class Proj4EPSG3857 : public Proj4Projection {
  287   public:
  288:   Proj4EPSG3857() : Proj4Projection("EPSG:3857") {}
  289  };
  290: class Proj4EPSG900913 : public Proj4Projection {
  291   public:
  292:   Proj4EPSG900913() : Proj4Projection("EPSG:3857") {}
  293  };
  294: class Proj4Geos : public Proj4Projection {
  295   public:
  296:   Proj4Geos() : Proj4Projection("geos") {}
  297  };
  298: class Proj4TPers : public Proj4Projection {
  299   public:
  300:   Proj4TPers() : Proj4Projection("tpers") {}
  301  };
  302: class Proj4Meteosat0 : public Proj4Projection {
  303   public:
  304:   Proj4Meteosat0() : Proj4Projection("meteosat_0") {}
  305  };
  306: class Proj4Meteosat57 : public Proj4Projection {
  307   public:
  308:   Proj4Meteosat57() : Proj4Projection("meteosat_575") {}
  309  };
  310: class Proj4Meteosat145 : public Proj4Projection {
  311   public:
  312:   Proj4Meteosat145() : Proj4Projection("meteosat_145") {}
  313  };
  314: class Proj4Geose : public Proj4Projection {
  315   public:
  316:   Proj4Geose() : Proj4Projection("goes-east") {}
  317  };
  318: class Proj4Geosw : public Proj4Projection {
  319   public:
  320:   Proj4Geosw() : Proj4Projection("goes-w") {}
  321  };
  322: class Proj4Goode : public Proj4Projection {
  323   public:
  324:   Proj4Goode() : Proj4Projection("goode") {}
  325  };
  326: class Proj4Mercator : public Proj4Projection {
  327   public:
  328:   Proj4Mercator() : Proj4Projection("mercator") {}
  329  };
  330: class Proj4Collignon : public Proj4Projection {
  331   public:
  332:   Proj4Collignon() : Proj4Projection("collignon") {}
  333  };
  334  
  335: class Proj4Mollweide : public Proj4Projection {
  336   public:
  337:   Proj4Mollweide() : Proj4Projection("mollweide") {}
  338  };
  339: class Proj4Robinson : public Proj4Projection {
  340   public:
  341:   Proj4Robinson() : Proj4Projection("robinson") {}
  342  };
  343: class Proj4Bonne : public Proj4Projection {
  344   public:
  345:   Proj4Bonne() : Proj4Projection("bonne") {}
  346  };
  347: class Proj4Google : public Proj4Projection {
  348   public:
  349:   Proj4Google() : Proj4Projection("google") {}
  350  };
  351: class Proj4Efas : public Proj4Projection {
  352   public:
  353:   Proj4Efas() : Proj4Projection("efas") {}
  354  };
  355  
  356: class Proj4LambertNorthAtlantic : public Proj4Projection {
  357   public:
  358:   Proj4LambertNorthAtlantic() : Proj4Projection("lambert_north_atlantic") {}
  359  };
  360: class Proj4EPSG32661 : public Proj4Projection {
  361   public:
  362:   Proj4EPSG32661() : Proj4Projection("EPSG:32661") {}
  363  };
  364: class Proj4EPSG32761 : public Proj4Projection {
  365   public:
  366:   Proj4EPSG32761() : Proj4Projection("EPSG:32761") {}
  367  };
  368: class Proj4EPSG4326 : public Proj4Projection {
  369   public:
  370:   Proj4EPSG4326() : Proj4Projection("EPSG:4326") {}
  371  };
  372  
  373: class Proj4Automatic : public Proj4Projection {
  374   public:
  375:   Proj4Automatic();
  376    void aspectRatio(double&, double&);
  377  

/Users/sylvie/git/magics/src/common/RasterData.h:
   26  #include "magics.h"
   27  
   28: class TeProjection;
   29  
   30  
   ..
   81      virtual ~RasterData() {}
   82  
   83:     TeProjection& getProjection() { return *projection_; }
   84  
   85      inline double getXResolution() const { return x_; }
   ..
   95      inline void setLowerLeftCorner(double lon, double lat) { lowerLeft_ = UserPoint(lon, lat); }
   96  
   97:     inline void setProjection(TeProjection* projection) { projection_ = projection; }
   98  
   99  
  ...
  101      //! Method to print string about this class on to a stream of type ostream (virtual).
  102      virtual void print(ostream&) const {}
  103:     TeProjection* projection_;
  104      double x_;
  105      double y_;

/Users/sylvie/git/magics/src/common/TaylorProjection.cc:
    9   */
   10  
   11: /*! \file TaylorProjection.cc
   12:     \brief Implementation of TaylorProjection.
   13      \author Meteorological Visualisation Section, ECMWF
   14  
   ..
   18  
   19  #include <Polyline.h>
   20: #include <TaylorProjection.h>
   21  
   22  using namespace magics;
   ..
   27    \todo what does still need implmenting? can debug message be removed?
   28  */
   29: TaylorProjection::TaylorProjection() {}
   30  
   31  /*!
   32    \brief Destructor
   33  */
   34: TaylorProjection::~TaylorProjection() {}
   35  
   36: void TaylorProjection::print(ostream& out) const {
   37:     out << "TaylorProjection[";
   38:     TaylorProjectionAttributes::print(out);
   39      out << "]";
   40  }
   41: void TaylorProjection::cleanPCEnveloppe() {
   42      PCEnveloppe_->clear();
   43      PCEnveloppe_->push_back(PaperPoint(min_, min_));
   ..
   51      PCEnveloppe_->push_back(PaperPoint(min_, min_));
   52  }
   53: void TaylorProjection::init() {
   54      Transformation::init();
   55      cleanPCEnveloppe();
   56  }
   57  
   58: PaperPoint TaylorProjection::operator()(const UserPoint& xy) const {
   59      double sinus   = (xy.y() < 1) ? sin(acos(xy.y())) : 0;
   60      double cosinus = (xy.y() > 1) ? 1 : xy.y();
   ..
   64  
   65  
   66: PaperPoint TaylorProjection::operator()(const PaperPoint& point) const {
   67      return Transformation::operator()(point);
   68  }
   69  
   70  
   71: void TaylorProjection::revert(const PaperPoint& xy, UserPoint& point) const {
   72      double angle = atan(xy.y() / xy.x());
   73      point.y(cos(angle));
   ..
   75  }
   76  
   77: bool TaylorProjection::needShiftedCoastlines() const {
   78      return false;
   79  }
   80  
   81: void TaylorProjection::aspectRatio(double& width, double& height) {
   82      Transformation::aspectRatio(width, height);
   83  }
   84  
   85: void TaylorProjection::boundingBox(double& xmin, double& ymin, double& xmax, double& ymax) const {
   86      Transformation::boundingBox(xmin, ymin, xmax, ymax);
   87  }
   88  
   89: double TaylorProjection::getMinX() const {
   90      return min_;
   91  }
   92  
   93: double TaylorProjection::getMinY() const {
   94      return 0;
   95  }
   96  
   97: double TaylorProjection::getMaxX() const {
   98      return max_;
   99  }
  100  
  101: double TaylorProjection::getMaxY() const {
  102      return 1;
  103      ;
  104  }
  105  
  106: void TaylorProjection::setMinX(double x) {
  107      min_ = x;
  108  }
  109  
  110: void TaylorProjection::setMinY(double y) {
  111      min_ = y;
  112  }
  113  
  114: void TaylorProjection::setMaxX(double x) {
  115      max_ = x;
  116  }
  117  
  118: void TaylorProjection::setMaxY(double y) {
  119      max_ = y;
  120  }
  121  
  122: double TaylorProjection::getMinPCX() const {
  123      return min_;
  124  }
  125  
  126: double TaylorProjection::getMinPCY() const {
  127      return min_;
  128  }
  129  
  130: double TaylorProjection::getMaxPCX() const {
  131      return max_;
  132  }
  133  
  134: double TaylorProjection::getMaxPCY() const {
  135      return max_;
  136  }
  137  
  138: Polyline& TaylorProjection::getPCBoundingBox() const {
  139      if (PCEnveloppe_->empty()) {
  140          PCEnveloppe_->push_back(PaperPoint(min_, min_));
  ...
  151  }
  152  
  153: Polyline& TaylorProjection::getUserBoundingBox() const {
  154      if (userEnveloppe_->empty()) {
  155          userEnveloppe_->push_back(PaperPoint(min_, min_));
  ...
  163  }
  164  
  165: void TaylorProjection::setDefinition(const string& def) {
  166      ASSERT(def.empty());
  167  }

/Users/sylvie/git/magics/src/common/TaylorProjection.h:
   10  
   11  /*!
   12:     \file TaylorProjection.h
   13:     \brief Definition of TaylorProjection.
   14      \author Meteorological Visualisation Section, ECMWF
   15  
   ..
   17  */
   18  
   19: #ifndef _TaylorProjection_H
   20: #define _TaylorProjection_H
   21  
   22: #include <TaylorProjectionAttributes.h>
   23  #include <Transformation.h>
   24  #include <XmlNode.h>
   ..
   26  namespace magics {
   27  
   28: /*! \class TaylorProjection
   29      \brief Implements a new projection
   30      \ingroup projection
   ..
   33  */
   34  
   35: class TaylorProjection : public Transformation, public TaylorProjectionAttributes {
   36  public:
   37:     TaylorProjection();
   38:     ~TaylorProjection();
   39  
   40      /*!
   ..
   43      void set(const XmlNode& node) {
   44          Transformation::set(node);
   45:         TaylorProjectionAttributes::set(node);
   46      }
   47      /*!
   ..
   50      void set(const map<string, string>& map) {
   51          Transformation::set(map);
   52:         TaylorProjectionAttributes::set(map);
   53      }
   54  
   55      virtual Transformation* clone() const {
   56:         TaylorProjection* transformation = new TaylorProjection();
   57          transformation->copy(*this);
   58          return transformation;
   ..
  152  private:
  153      //! Copy constructor - No copy allowed
  154:     TaylorProjection(const TaylorProjection&);
  155      //! Overloaded << operator to copy - No copy allowed
  156:     TaylorProjection& operator=(const TaylorProjection&);
  157  
  158      // -- Friends
  159      //! Overloaded << operator to call print().
  160:     friend ostream& operator<<(ostream& s, const TaylorProjection& p) {
  161          p.print(s);
  162          return s;

/Users/sylvie/git/magics/src/common/Transformation.h:
   11  /*! \defgroup projections Geographical projections
   12  
   13: \section supportedProjection Supported projections
   14  
   15  Currently Magics++ supports following projections:
   ..
   21   You can select the projection by setting the parameter SUBPAGE_MAP_PROJECTION .
   22  
   23: \section addProjection How to add a new projection
   24  
   25:  - add your <i>NewProjection.xml</i> in <i>src/xml</i>
   26  
   27   - add this file in <i>src/xml/Makefile.am</i>
   28  
   29:  - add <i>NewProjection.cc/.h</i> in <i>src/drivers/common/</i>,
   30:    inheriting from Transformation, NewProjectionParameters
   31  
   32   - add the new files in <i>src/common/Makefile.am</i>
   33  
   34   - add new projection in src/common/SubPageAttributes.cc:\n
   35:     static SimpleObjectMaker<NewProjection, Transformation> new_NewProjection("new_name");
   36  
   37   - add new projection in src/common/ViewAttributes.cc:\n
   38:     static SimpleObjectMaker<NewProjection, Transformation> new_NewProjection("new_name");
   39  
   40   - Last but not least: add the new projection to the documentation!
   ..
   57  #include "PaperPoint.h"
   58  #include "SceneVisitor.h"
   59: #include "TeProjection.h"
   60  #include "UserPoint.h"
   61  
   ..
  106      CoordinateType coordinateType() const { return coordinateType_; }
  107  
  108:     virtual void geoProjection(int& geo) const { geo = 0; }  // Useful for Streamlines !
  109  
  110      virtual void toxml(ostream&) const {}
  ...
  162  
  163      // Needed for Image processing!
  164:     virtual TeProjection& getProjection() {
  165          static TeDatum datum;
  166          static TeLatLong dummy(datum);
  ...
  285      void thin(MatrixHandler& points, vector<PaperPoint>& out, vector<PaperPoint>&) const;
  286  
  287:     // The view is set in Projection coordinates!
  288      virtual void filterView(double xmin, double xmax, double ymin, double ymax, double x, double y) const {
  289          view_ = ViewFilter(xmin, xmax, ymin, ymax, x, y);

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.cc:
   81  
   82      if (lat != missing_ && lon != missing_) {
   83:         if (useProj4_) {
   84              int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
   85              lon *= RAD_TO_DEG;
   ..
   97  
   98      if (lat != missing_ && lon != missing_) {
   99:         if (useProj4_) {
  100              int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  101              lon *= RAD_TO_DEG;
  ...
  113  
  114      if (lat != missing_ && lon != missing_) {
  115:         if (useProj4_) {
  116              int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  117              lon *= RAD_TO_DEG;
  ...
  133  
  134      if (lat != missing_ && lon != missing_) {
  135:         if (useProj4_) {
  136              int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  137              lon *= RAD_TO_DEG;
  ...
  158  
  159      if (lat != missing_ && lon != missing_) {
  160:         if (useProj4_) {
  161              int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  162              lon *= RAD_TO_DEG;
  ...
  173  
  174      if (lat != missing_ && lon != missing_) {
  175:         if (useProj4_) {
  176              int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  177              lon *= RAD_TO_DEG;
  ...
  211              value = 0;  // no value? we probably want to at least plot the location, so set to something valid
  212  
  213:         if (useProj4_) {
  214              int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  215              lon *= RAD_TO_DEG;
  ...
  303          formats_["NCOLS"]        = &GeoPointsDecoder::ncols;
  304      }
  305:     useProj4_                       = false;
  306      GeoPointsDecoder::Decode method = &GeoPointsDecoder::yxdtlv2;
  307  
  ...
  315                  break;
  316              if (strncmp(line, "#PROJECTION ", 12) == 0) {
  317:                 useProj4_ = true;
  318                  string proj4(line + 12);
  319  

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.h:
  114    projPJ proj4_;
  115    projPJ latlon_;
  116:   bool useProj4_;
  117    size_t ncoordcols_;
  118    static const std::map<std::string, eGeoColType>& coordColMap();

/Users/sylvie/git/magics/src/decoders/GribRegularInterpretor.cc:
  730      raster.setRows(nblat);
  731      //
  732:     raster.setProjection(new TeLatLong(TeDatum()));
  733  
  734      raster.reserve(nblon * nblat);
  ...
  765      raster.setRows(nblat);
  766      //
  767:     raster.setProjection(new TeLatLong(TeDatum()));
  768  
  769      raster.reserve(nblon * nblat);

/Users/sylvie/git/magics/src/decoders/GribSatelliteInterpretor.cc:
   21  #include "GribSatelliteInterpretor.h"
   22  #include "CustomisedPoint.h"
   23: #include "GeoRectangularProjection.h"
   24  #include "GribDecoder.h"
   25  #include "RasterData.h"

/Users/sylvie/git/magics/src/decoders/InputMatrixInterpretor.cc:
  179  
  180  Matrix* InputMatrixIrregularInterpretor::geoInterpret(Matrix* in, const InputMatrix& info) {
  181:     ProjectedMatrix* matrix = new ProjectedMatrix(in->rows(), in->columns());
  182      vector<double>& values  = matrix->values();
  183      vector<double>& rows    = matrix->rowsArray();
  ...
  212      // here we have to create a projected matrix!
  213  
  214:     ProjectedMatrix* matrix = new ProjectedMatrix(in->rows(), in->columns());
  215  
  216  

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.cc:
   59      }
   60      else {
   61:         matrix_ = new Proj4Matrix(proj4);
   62      }
   63      *matrix = matrix_;

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.h:
   68                          CustomisedPointsList&, int);
   69    string proj4Detected(Netcdf& netcdf);
   70:   void checkProj4Units(Netcdf& netcdf, const string& variable,
   71                         vector<double>& data);
   72  

/Users/sylvie/git/magics/src/decoders/shapefil.h:
    5   * $Id: shapefil.h,v 1.52 2011-12-11 22:26:46 fwarmerdam Exp $
    6   *
    7:  * Project:  Shapelib
    8   * Purpose:  Primary include file for Shapelib.
    9   * Author:   Frank Warmerdam, warmerdam@pobox.com

/Users/sylvie/git/magics/src/drivers/QtDriver.cc:
  360  
  361          MgQPlotScene* scene = static_cast<MgQPlotScene*>(scene_);
  362:         scene->currentSceneItem()->addProjectorItem(item);
  363      }
  364  

/Users/sylvie/git/magics/src/drivers/MgQ/MgQLayerItem.cc:
   35  
   36  
   37: MgQLayoutItem* MgQSceneLayerItem::findProjectorItem(QPointF scenePos) {
   38      foreach (MgQLayoutItem* item, projectorItems_) {
   39          if (item->contains(item->mapFromScene(scenePos))) {

/Users/sylvie/git/magics/src/drivers/MgQ/MgQLayerItem.h:
   56  
   57      const SceneLayer& sceneLayer() { return sceneLayer_; };
   58:     void addProjectorItem(MgQLayoutItem* n) { projectorItems_ << n; }
   59      QList<MgQLayoutItem*> projectorItems() { return projectorItems_; }
   60:     MgQLayoutItem* findProjectorItem(QPointF);
   61  
   62      int type() const { return Type; }

/Users/sylvie/git/magics/src/drivers/MgQ/MgQLayoutItem.cc:
   46  }
   47  
   48: void MgQLayoutItem::mapFromSceneToProjectionCoords(QPointF& scenePoint, QPointF& projPoint) {
   49      QPointF ppLocal = mapFromScene(scenePoint);
   50      projPoint       = QPointF(ppLocal.x() / coordRatioX_, ppLocal.y() / coordRatioY_);

/Users/sylvie/git/magics/src/drivers/MgQ/MgQLayoutItem.h:
   70      void projectedMaxY(double f) { projectedMaxY_ = f; }
   71  
   72:     void mapFromSceneToProjectionCoords(QPointF&, QPointF&);
   73      string mapFromSceneToTransformationDefinition(QPointF&, QPointF&);
   74      void mapFromSceneToGeoCoords(const QPointF&, QPointF&);

/Users/sylvie/git/magics/src/drivers/MgQ/MgQPlotScene.cc:
  230  }
  231  
  232: MgQLayoutItem* MgQPlotScene::firstProjectorItem() {
  233      foreach (MgQSceneItem* item, sceneItems_) {
  234:         MgQLayoutItem* res = item->firstProjectorItem();
  235          if (res)
  236              return res;
  ...
  240  }
  241  
  242: MgQLayoutItem* MgQPlotScene::findProjectorItem(QPointF scenePos) {
  243      foreach (MgQSceneItem* item, sceneItems_) {
  244:         MgQLayoutItem* res = item->findProjectorItem(scenePos);
  245          if (res)
  246              return res;
  ...
  265      // Find zoomable layout, i.e. subpage!!!
  266      if (scn) {
  267:         prn = scn->findProjectorItem(scenePos);
  268          if (prn == 0) {
  269              scn = findSceneItem(scenePos);
  270              if (scn) {
  271:                 prn = scn->findProjectorItem(scenePos);
  272              }
  273          }
  ...
  276          scn = findSceneItem(scenePos);
  277          if (scn) {
  278:             prn = scn->findProjectorItem(scenePos);
  279          }
  280      }

/Users/sylvie/git/magics/src/drivers/MgQ/MgQPlotScene.h:
   74      void setOriSceneRect(QRectF r) { oriSceneRect_ = r; }
   75  
   76:     MgQLayoutItem* firstProjectorItem();
   77:     MgQLayoutItem* findProjectorItem(QPointF);
   78:     MgQLayoutItem* projectorItem(QPointF p) { return findProjectorItem(p); }
   79      bool identifyPos(QPointF, MgQSceneItem**, MgQLayoutItem**);
   80  

/Users/sylvie/git/magics/src/drivers/MgQ/MgQSceneItem.cc:
   83  }
   84  
   85: MgQLayoutItem* MgQSceneItem::findProjectorItem(QPointF scenePos) {
   86      foreach (MgQLayoutItem* item, projectorItems_) {
   87          // qDebug() << "projector" << item->name() << scenePos << item->mapFromScene(scenePos);
   ..
   93  }
   94  
   95: MgQLayoutItem* MgQSceneItem::firstProjectorItem() {
   96      if (projectorItems_.count() > 0) {
   97          return projectorItems_.at(0);

/Users/sylvie/git/magics/src/drivers/MgQ/MgQSceneItem.h:
  129      void setEnableAntialias(bool);
  130  
  131:     void addProjectorItem(MgQLayoutItem* n) { projectorItems_ << n; }
  132      QList<MgQLayoutItem*> projectorItems() { return projectorItems_; }
  133:     MgQLayoutItem* findProjectorItem(QPointF);
  134:     MgQLayoutItem* firstProjectorItem();
  135  
  136  protected:

/Users/sylvie/git/magics/src/eckit_readers/MvBufrElementTable.cc:
 1572      map[29001] = "projectionType";
 1573      map[29002] = "coordinateGridType";
 1574:     map[29014] = "optionalListOfParametersForAnExternalMapProjectionLibrary";
 1575      map[30001] = "pixelValue4Bits";
 1576      map[30002] = "pixelValue8Bits";

/Users/sylvie/git/magics/src/terralib/kernel/TeDatum.h:
  105  
  106      //! Returns the Datum description in PROJ4 format
  107:     string getProj4Description();
  108  
  109      //! Returns the Datum description in WKT format

/Users/sylvie/git/magics/src/terralib/kernel/TeProjection.h:
    9   */
   10  
   11: /*! \file TeProjection.h
   12      \brief This file contains support do deal with geographical projections
   13  */
   ..
   37  
   38  //! Set of informations required by projections
   39: struct TL_DLL TeProjInfo {
   40      int hasUnits;
   41      int hasLon0;
   ..
   49  
   50  //! A map from name of projections to a set of informations that it requires
   51: typedef map<string, TeProjInfo> TeProjInfoMap;
   52  
   53  //! Returns the set of informations required by a given projection
   54: TL_DLL TeProjInfo TeProjectionInfo(const string& projName);
   55  
   56: TL_DLL const char** TeGetProjInfo();
   57  
   58  // ============ PROJECTION PARAMETERS ===============
   59  
   60: class TeProjection;
   61  
   62  // FAMI Added Satellite parameters
   63  //! Set of parameters that define a geographical projection
   64: struct TL_DLL TeProjectionParams {
   65      string name;              //!< projection name
   66      TeDatum datum;            //!< spheroid
   ..
   86  //========== PROJECTION FACTORY
   87  //! A factory of projections
   88: class TL_DLL TeProjectionFactory {
   89  public:
   90:     static TeProjection* make(const TeProjectionParams&);
   91  };
   92  
   ..
   97    on low-resolution images of geostationary satellites.
   98  */
   99: class TL_DLL TeProjection {
  100  protected:
  101      string GPname;                // projection name
  ...
  110      double GPscale;               // scale (used for UTM)
  111      TeHemisphere GPhemisphere;    // Hemisphere
  112:     TeProjection* GPdestination;  // destination projection
  113      int GPid;                     // id
  114  
  ...
  149          \param hem			hemisphere
  150      */
  151:     TeProjection(const string& name, const TeDatum& datum, double lon0 = 0., double lat0 = 0., double offx = 0.,
  152                   double offy = 0., double stlat1 = 0., double stlat2 = 0., const string units = "Meters",
  153                   double scale = 1., TeHemisphere hem = TeSOUTH_HEM) :
  ...
  166          GPid(0) {}
  167  
  168:     TeProjection() :
  169:         GPname("NoProjection"),
  170          GPlon0(0.),
  171          GPlat0(0.),
  ...
  181  
  182      //! Copy Constructor
  183:     TeProjection(const TeProjection&);
  184  
  185      //! Operator =
  186:     TeProjection& operator=(const TeProjection&);
  187  
  188      //!	Destructor.
  189:     virtual ~TeProjection() {}
  190  
  191      //! Returns the projection name;
  ...
  226  
  227      // Returns a the parameters of this projection
  228:     virtual TeProjectionParams params() const;  // FAMI
  229  
  230:     bool operator==(const TeProjection& proj);
  231  
  232      //!	Pure virtual method that transforms geodetic into projection coordinates
  ...
  238  
  239          \param	p 	Geodetic coordinates (radian).
  240:         \return p  	Projection coordinates (m).
  241          \note
  242              Geodetic coordinates must be a valid latitude
  ...
  253          inverse formulas, which compute geodetic
  254          coordinates from projection coordinates.
  255:         \param p 	Projection coordinates (m).
  256          \return p	Geodetic coordinates (rad).
  257          \note X and Y projection coordinates must be both valid,
  ...
  271      //!	Sets the projection to which a Latitude/Longitude value will be generated by the current projection by calling
  272      //! changeLL in PC2LL method
  273:     void setDestinationProjection(TeProjection* proj) { GPdestination = proj; }
  274  
  275      //! Concrete method that prints information about a projection
  ...
  293        uses the planimetric datum Sad69 or Corrego Alegre  (Hayford ellipsoid).
  294  
  295:      \sa TeCoord2D TeDatum TeProjection.
  296  */
  297: class TL_DLL TeUtm : public TeProjection {
  298  public:
  299      //! Constructor
  ...
  311      TeUtm(const TeDatum& datum, double long0, double lat0 = 0., double offx = 500000., double offy = 10000000.,
  312            const string& units = "Meters", double scale = 0.9996, TeHemisphere hemisphere = TeSOUTH_HEM) :
  313:         TeProjection("UTM", datum, long0, lat0, offx, offy, 0., 0., units, scale, hemisphere)
  314  
  315      {
  ...
  321      ~TeUtm() {}
  322  
  323:     //! This implementation of a pure virtual method defined in Projection transforms geodetic into UTM coordinates.
  324      /*!
  325          \param	p	Geodetic coordinates (rad).
  ...
  335  
  336      //!	This implementation of a pure virtual method defined in
  337:     /*	Projection transforms UTM into geodetic coordinates.
  338          \param p:	UTM coordinates (m).
  339          \return p:	Geodetic coordinates (rad).
  ...
  351    Specifies methods that are necessary to establish the relation between
  352    geodetic and Lambert conformal conic coordinates.
  353:   \sa TeCoord2D TeDatum TeProjection.
  354  */
  355: class TL_DLL TeLambertConformal : public TeProjection {
  356  public:
  357      //! Constructor
  ...
  369      TeLambertConformal(const TeDatum& datum, double long0, double lat0, double offx, double offy, double stlat1,
  370                         double stlat2, const string& units = "Meters") :
  371:         TeProjection("LambertConformal", datum, long0, lat0, offx, offy, stlat1, stlat2, units) {}
  372  
  373      //! Destructor
  ...
  385    geodetic and Mercator coordinates.
  386  */
  387: class TL_DLL TeMercator : public TeProjection {
  388  public:
  389      //! Constructor
  ...
  400      TeMercator(const TeDatum& datum, double long0, double lat0 = 0., double offx = 0., double offy = 0.,
  401                 double stlat1 = 0., const string& units = "Meters") :
  402:         TeProjection("Mercator", datum, long0, lat0, offx, offy, stlat1, 0., units) {}
  403  
  404      //! Destructor
  ...
  417      is neither conformal nor equal-area.
  418  */
  419: class TL_DLL TePolyconic : public TeProjection {
  420  public:
  421      //! Constructor
  ...
  431      TePolyconic(const TeDatum& datum, double long0, double lat0 = 0., double offx = 0., double offy = 0.,
  432                  const string& units = "Meters") :
  433:         TeProjection("Polyconic", datum, long0, lat0, offx, offy, 0., 0., units) {}
  434  
  435      //! Destructor
  ...
  443  
  444  //!  Provides methods that are required to handle the Equidistant Cylindrical  map projection.
  445: class TL_DLL TeLatLong : public TeProjection {
  446  public:
  447      //! Constructor
  ...
  452      */
  453      TeLatLong(const TeDatum& datum, const string& units = "DecimalDegrees") :
  454:         TeProjection("LatLong", datum, 0., 0., 0., 0., 0., 0., units) {}
  455  
  456      //! Destructor
  ...
  473    projection system.
  474  */
  475: class TL_DLL TeAlbers : public TeProjection {
  476  public:
  477      //! Constructor
  ...
  489      TeAlbers(const TeDatum& datum, double lon0, double lat0, double offx, double offy, double stlat1, double stlat2,
  490               const string& units = "Meters") :
  491:         TeProjection("Albers", datum, lon0, lat0, offx, offy, stlat1, stlat2, units) {}
  492  
  493      //! Destructor
  ...
  505    is neither conformal nor equal-area."
  506  */
  507: class TL_DLL TeMiller : public TeProjection {
  508  public:
  509      //! Constructor
  ...
  517      */
  518      TeMiller(const TeDatum& datum, double long0, double offx = 0., double offy = 0., const string& units = "Meters") :
  519:         TeProjection("Miller", datum, long0, 0., offx, offy, 0., 0., units) {}
  520  
  521      //! Destructor
  ...
  535    can be redefined by editing the file "TeDatum.cpp"
  536  */
  537: class TL_DLL TeSinusoidal : public TeProjection {
  538  public:
  539      //!	Constructor.
  ...
  548      TeSinusoidal(const TeDatum& datum, double long0, double offx = 0., double offy = 0.,
  549                   const string& units = "Meters") :
  550:         TeProjection("Sinusoidal", datum, long0, 0., offx, offy, 0., 0., units) {}
  551  
  552      //! Empty destructor.
  ...
  559  
  560  //! Provides methods that are required to handle the Cylindrical Equidistant map projection
  561: class TL_DLL TeCylindricalEquidistant : public TeProjection {
  562  public:
  563      //!	Constructor.
  ...
  573      TeCylindricalEquidistant(const TeDatum& datum, double lon0, double offx = 0., double offy = 0., double stlat1 = 0.,
  574                               const string& units = "Meters") :
  575:         TeProjection("CylindricalEquidistant", datum, lon0, 0., offx, offy, stlat1, 0, units) {}
  576      //! Empty destructor.
  577      ~TeCylindricalEquidistant() {}
  ...
  583  
  584  //! Provides methods that are required to handle the Polar Stereographic map projection
  585: class TL_DLL TePolarStereographic : public TeProjection {
  586  public:
  587      //! Constructor
  ...
  597      TePolarStereographic(const TeDatum& datum, double lon0, double offx = 0., double offy = 0.,
  598                           const string& units = "Meters", const TeHemisphere hem = TeSOUTH_HEM) :
  599:         TeProjection("PolarStereographic", datum, lon0, 0., offx, offy, 0, 0, units, 1, hem) {}
  600  
  601      //! Destructor
  ...
  610  
  611  // FAMI
  612: class TL_DLL TeSatelliteProjection : public TeProjection {
  613  private:
  614      double SPri,  // Sensor angle resolution along y axis in radians
  ...
  641                  increasing latitude.
  642          */
  643:     TeSatelliteProjection(const TeDatum& datum, double offx, double offy, double Pri, double Prj, double Pis,
  644                            double Pjs, double Pla0, double Plon0, double Prs, double Pscn, double Pyaw) :
  645:         TeProjection("Satellite", datum, Plon0, Pla0, offx, offy, 0., 0., "Meters", 1., TeSOUTH_HEM),
  646          SPri(Pri),
  647          SPrj(Prj),
  ...
  652          SPyaw(Pyaw) {}
  653  
  654:     ~TeSatelliteProjection() {}
  655  
  656      virtual TeCoord2D LL2PC(TeCoord2D& p);
  ...
  659  
  660      // Returns a the parameters of this projection
  661:     virtual TeProjectionParams params() const;
  662  
  663      double RadiusSatOrbit() { return SPrs; }
  664  };
  665  
  666: class TL_DLL TeNoProjection : public TeProjection {
  667  public:
  668:     TeNoProjection(const TeDatum& datum = TeDatum(), const string& units = "Units") :
  669:         TeProjection("NoProjection", datum, 0., 0., 0., 0., 0, 0, units, 1, TeSOUTH_HEM)
  670  
  671      {
  672:         GPname = "NoProjection", GPunits = units;
  673      }
  674  
  675:     ~TeNoProjection() {}
  676  
  677      virtual TeCoord2D LL2PC(TeCoord2D& p) { return p; }
  ...
  680  };
  681  
  682: bool TL_DLL decodifyDescription(const string& projDescription, TeProjectionParams& pars);
  683  
  684: //! Creates a TeProjection instance from a PROJ4 description
  685  /*
  686      \note This function works only for sproj descriptionsgenerated by TerraLib
  687  */
  688: TL_DLL TeProjection* TeGetTeProjectionFromSProj(const string& sproj4desc);
  689  
  690  //! Generates a PROJ4 description from a TerraLib instance
  691: TL_DLL string TeGetSProjFromTeProjection(TeProjection* teproj);
  692  
  693  //! Generates OGC WKT Spatial Reference description from a TerraLib instance
  694: TL_DLL string TeGetWKTFromTeProjection(TeProjection* proj);
  695  
  696: //! Creates a TeProjection instance from a OGC WKT Spatial Reference description
  697  /*
  698      \note This function works only for sproj descriptions generated by TerraLib
  699  */
  700: TL_DLL TeProjection* TeGetTeProjectionFromWKT(const string& wkt);
  701  
  702  /** \example convertCoordinates.cpp

/Users/sylvie/git/magics/src/visualisers/Streamlines.cc:
   22  #include "Streamlines.h"
   23  #include "CalcStreamlines.h"
   24: #include "GeoRectangularProjection.h"
   25  #include "LegendVisitor.h"
   26  #include "Polyline.h"
   ..
   46      bool overlapping = same(pt1.x(), pt2.x()) && same(pt1.y(), pt2.y());
   47  
   48:     GeoRectangularProjection geo;
   49  
   50      MatrixHandler& dir = data.direction();
   ..
  186          gs->dy = -gs->dy;
  187      gs->period_x = 0.;
  188:     transformation.geoProjection(gs->gs_geo);
  189      gs->gs_geo            = 0;  // RV
  190      OneLineClass** result = 0;

/Users/sylvie/build/magics/src/params/FortranViewNodeAttributes.cc:
  303  static MagicsParameter<string> subpage_map_preview("subpage_map_preview", "off", ""); 
  304  static MagicsParameter<string> subpage_map_magnifier("subpage_map_magnifier", "off", ""); 
  305: #include "GeoRectangularProjection.h"
  306: #include "PolarStereographicProjection.h"
  307: #include "Proj4Projection.h"
  308  #include "CartesianTransformation.h"
  309: #include "TaylorProjection.h"
  310  #include "Tephigram.h"
  311  #include "Skewt.h"
  ...
  313  #include "PreviewVisitor.h"
  314  #include "MagnifierVisitor.h"
  315: static SimpleObjectMaker<GeoRectangularProjection , Transformation> cylindrical_GeoRectangularProjection("cylindrical");
  316: static SimpleObjectMaker<PolarStereographicProjection , Transformation> polar_stereographic_PolarStereographicProjection("polar_stereographic");
  317: static SimpleObjectMaker<Proj4PolarNorth , Transformation> polar_north_Proj4PolarNorth("polar_north");
  318: static SimpleObjectMaker<Proj4PolarSouth , Transformation> polar_south_Proj4PolarSouth("polar_south");
  319: static SimpleObjectMaker<Proj4Geos , Transformation> geos_Proj4Geos("geos");
  320: static SimpleObjectMaker<Proj4Meteosat0 , Transformation> meteosat_Proj4Meteosat0("meteosat");
  321: static SimpleObjectMaker<Proj4Meteosat57 , Transformation> meteosat_57E_Proj4Meteosat57("meteosat_57E");
  322: static SimpleObjectMaker<Proj4Geose , Transformation> goes_east_Proj4Geose("goes_east");
  323: static SimpleObjectMaker<Proj4Lambert , Transformation> lambert_Proj4Lambert("lambert");
  324: static SimpleObjectMaker<Proj4EPSG3857 , Transformation> EPSG_3857_Proj4EPSG3857("EPSG:3857");
  325: static SimpleObjectMaker<Proj4EPSG900913 , Transformation> EPSG_900913_Proj4EPSG900913("EPSG:900913");
  326: static SimpleObjectMaker<Proj4EPSG32661 , Transformation> EPSG_32661_Proj4EPSG32661("EPSG:32661");
  327: static SimpleObjectMaker<Proj4EPSG32761 , Transformation> EPSG_32761_Proj4EPSG32761("EPSG:32761");
  328: static SimpleObjectMaker<Proj4EPSG4326 , Transformation> EPSG_4326_Proj4EPSG4326("EPSG:4326");
  329: static SimpleObjectMaker<Proj4Goode , Transformation> goode_Proj4Goode("goode");
  330: static SimpleObjectMaker<Proj4Collignon , Transformation> collignon_Proj4Collignon("collignon");
  331: static SimpleObjectMaker<Proj4Mollweide , Transformation> mollweide_Proj4Mollweide("mollweide");
  332: static SimpleObjectMaker<Proj4Robinson , Transformation> robinson_Proj4Robinson("robinson");
  333: static SimpleObjectMaker<Proj4Bonne , Transformation> bonne_Proj4Bonne("bonne");
  334: static SimpleObjectMaker<Proj4Google , Transformation> google_Proj4Google("google");
  335: static SimpleObjectMaker<Proj4Efas , Transformation> efas_Proj4Efas("efas");
  336: static SimpleObjectMaker<Proj4TPers , Transformation> tpers_Proj4TPers("tpers");
  337: static SimpleObjectMaker<Proj4Automatic , Transformation> automatic_Proj4Automatic("automatic");
  338: static SimpleObjectMaker<Proj4LambertNorthAtlantic , Transformation> lambert_north_atlantic_Proj4LambertNorthAtlantic("lambert_north_atlantic");
  339: static SimpleObjectMaker<Proj4Mercator , Transformation> mercator_Proj4Mercator("mercator");
  340  static SimpleObjectMaker<CartesianTransformation , Transformation> cartesian_CartesianTransformation("cartesian");
  341: static SimpleObjectMaker<TaylorProjection , Transformation> taylor_TaylorProjection("taylor");
  342  static SimpleObjectMaker<Tephigram , Transformation> tephigram_Tephigram("tephigram");
  343  static SimpleObjectMaker<Skewt , Transformation> skewt_Skewt("skewt");

/Users/sylvie/build/magics/src/params/GeoRectangularProjectionAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file GeoRectangularProjectionAttributes.h
   15:     \\brief Definition of GeoRectangularProjection Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "GeoRectangularProjectionAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: GeoRectangularProjectionAttributes::GeoRectangularProjectionAttributes():
   30  	min_latitude_(ParameterManager::getDouble("subpage_lower_left_latitude")),
   31  	min_longitude_(ParameterManager::getDouble("subpage_lower_left_longitude")),
   ..
   39  
   40  
   41: GeoRectangularProjectionAttributes::~GeoRectangularProjectionAttributes()
   42  {
   43  	
   ..
   45  
   46      
   47: void GeoRectangularProjectionAttributes::set(const std::map<string, string>& params)
   48  {
   49  	vector<string> prefix(1);
   ..
   60  }
   61  
   62: void GeoRectangularProjectionAttributes::copy(const GeoRectangularProjectionAttributes& other)
   63  {
   64  	min_latitude_ = other.min_latitude_;
   ..
   71  
   72  
   73: bool GeoRectangularProjectionAttributes::accept(const string& node)
   74  {	
   75  	if ( magCompare(node, "cylindrical")  )
   ..
   79  }
   80  
   81: void GeoRectangularProjectionAttributes::set(const XmlNode& node)
   82  {
   83  	if ( this->accept(node.name()) == false ) 
   ..
   95  }
   96  
   97: void GeoRectangularProjectionAttributes::print(ostream& out)  const
   98  {
   99  	out << "Attributes[";
  ...
  107  }
  108  
  109: void GeoRectangularProjectionAttributes::toxml(ostream& out)  const
  110  {
  111  	out <<  "\"cylindrical\""; 

/Users/sylvie/build/magics/src/params/GeoRectangularProjectionAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileGeoRectangularProjectionAttributes.h
   15:     \brief Definition of GeoRectangularProjection Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef GeoRectangularProjectionAttributes_H
   25: #define GeoRectangularProjectionAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class GeoRectangularProjectionAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     GeoRectangularProjectionAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~GeoRectangularProjectionAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const GeoRectangularProjectionAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   59  
   60  private:
   61: 	friend ostream& operator<<(ostream& s,const GeoRectangularProjectionAttributes& p)
   62  	{ p.print(s); return s; }
   63  };

/Users/sylvie/build/magics/src/params/MercatorProjectionAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file MercatorProjectionAttributes.h
   15:     \\brief Definition of MercatorProjection Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "MercatorProjectionAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: MercatorProjectionAttributes::MercatorProjectionAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: MercatorProjectionAttributes::~MercatorProjectionAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void MercatorProjectionAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void MercatorProjectionAttributes::copy(const MercatorProjectionAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool MercatorProjectionAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "rectangular")  )
   ..
   64  }
   65  
   66: void MercatorProjectionAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void MercatorProjectionAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void MercatorProjectionAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"rectangular\""; 

/Users/sylvie/build/magics/src/params/MercatorProjectionAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileMercatorProjectionAttributes.h
   15:     \brief Definition of MercatorProjection Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef MercatorProjectionAttributes_H
   25: #define MercatorProjectionAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class MercatorProjectionAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     MercatorProjectionAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~MercatorProjectionAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const MercatorProjectionAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const MercatorProjectionAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/PolarStereographicProjectionAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file PolarStereographicProjectionAttributes.h
   15:     \\brief Definition of PolarStereographicProjection Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "PolarStereographicProjectionAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: PolarStereographicProjectionAttributes::PolarStereographicProjectionAttributes():
   30  	system_(ParameterManager::getString("subpage_map_area_coordinate_system")),
   31  	area_(ParameterManager::getString("subpage_map_area_definition_polar")),
   ..
   45  
   46  
   47: PolarStereographicProjectionAttributes::~PolarStereographicProjectionAttributes()
   48  {
   49  	
   ..
   51  
   52      
   53: void PolarStereographicProjectionAttributes::set(const std::map<string, string>& params)
   54  {
   55  	vector<string> prefix(4);
   ..
   75  }
   76  
   77: void PolarStereographicProjectionAttributes::copy(const PolarStereographicProjectionAttributes& other)
   78  {
   79  	system_ = other.system_;
   ..
   92  
   93  
   94: bool PolarStereographicProjectionAttributes::accept(const string& node)
   95  {	
   96  	if ( magCompare(node, "polar_stereographic")  )
   ..
  100  }
  101  
  102: void PolarStereographicProjectionAttributes::set(const XmlNode& node)
  103  {
  104  	if ( this->accept(node.name()) == false ) 
  ...
  116  }
  117  
  118: void PolarStereographicProjectionAttributes::print(ostream& out)  const
  119  {
  120  	out << "Attributes[";
  ...
  134  }
  135  
  136: void PolarStereographicProjectionAttributes::toxml(ostream& out)  const
  137  {
  138  	out <<  "\"polar_stereographic\""; 

/Users/sylvie/build/magics/src/params/PolarStereographicProjectionAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \filePolarStereographicProjectionAttributes.h
   15:     \brief Definition of PolarStereographicProjection Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef PolarStereographicProjectionAttributes_H
   25: #define PolarStereographicProjectionAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class PolarStereographicProjectionAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     PolarStereographicProjectionAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~PolarStereographicProjectionAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const PolarStereographicProjectionAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   65  
   66  private:
   67: 	friend ostream& operator<<(ostream& s,const PolarStereographicProjectionAttributes& p)
   68  	{ p.print(s); return s; }
   69  };

/Users/sylvie/build/magics/src/params/Proj4AutomaticAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4AutomaticAttributes.h
   15:     \\brief Definition of Proj4Automatic Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4AutomaticAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4AutomaticAttributes::Proj4AutomaticAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4AutomaticAttributes::~Proj4AutomaticAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4AutomaticAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4AutomaticAttributes::copy(const Proj4AutomaticAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4AutomaticAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4AutomaticAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4AutomaticAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4AutomaticAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4AutomaticAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4AutomaticAttributes.h
   15:     \brief Definition of Proj4Automatic Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4AutomaticAttributes_H
   25: #define Proj4AutomaticAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4AutomaticAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4AutomaticAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4AutomaticAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4AutomaticAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4AutomaticAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4BonneAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4BonneAttributes.h
   15:     \\brief Definition of Proj4Bonne Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4BonneAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4BonneAttributes::Proj4BonneAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4BonneAttributes::~Proj4BonneAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4BonneAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4BonneAttributes::copy(const Proj4BonneAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4BonneAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4BonneAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4BonneAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4BonneAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4BonneAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4BonneAttributes.h
   15:     \brief Definition of Proj4Bonne Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4BonneAttributes_H
   25: #define Proj4BonneAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4BonneAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4BonneAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4BonneAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4BonneAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4BonneAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4CollignonAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4CollignonAttributes.h
   15:     \\brief Definition of Proj4Collignon Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4CollignonAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4CollignonAttributes::Proj4CollignonAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4CollignonAttributes::~Proj4CollignonAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4CollignonAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4CollignonAttributes::copy(const Proj4CollignonAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4CollignonAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4CollignonAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4CollignonAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4CollignonAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4CollignonAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4CollignonAttributes.h
   15:     \brief Definition of Proj4Collignon Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4CollignonAttributes_H
   25: #define Proj4CollignonAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4CollignonAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4CollignonAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4CollignonAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4CollignonAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4CollignonAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4EfasAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4EfasAttributes.h
   15:     \\brief Definition of Proj4Efas Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4EfasAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4EfasAttributes::Proj4EfasAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4EfasAttributes::~Proj4EfasAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4EfasAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4EfasAttributes::copy(const Proj4EfasAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4EfasAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4EfasAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4EfasAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4EfasAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4EfasAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4EfasAttributes.h
   15:     \brief Definition of Proj4Efas Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4EfasAttributes_H
   25: #define Proj4EfasAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4EfasAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4EfasAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4EfasAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4EfasAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4EfasAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4EPSG32661Attributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4EPSG32661Attributes.h
   15:     \\brief Definition of Proj4EPSG32661 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4EPSG32661Attributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4EPSG32661Attributes::Proj4EPSG32661Attributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4EPSG32661Attributes::~Proj4EPSG32661Attributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4EPSG32661Attributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4EPSG32661Attributes::copy(const Proj4EPSG32661Attributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4EPSG32661Attributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4EPSG32661Attributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4EPSG32661Attributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4EPSG32661Attributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4EPSG32661Attributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4EPSG32661Attributes.h
   15:     \brief Definition of Proj4EPSG32661 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4EPSG32661Attributes_H
   25: #define Proj4EPSG32661Attributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4EPSG32661Attributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4EPSG32661Attributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4EPSG32661Attributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4EPSG32661Attributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4EPSG32661Attributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4EPSG32761Attributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4EPSG32761Attributes.h
   15:     \\brief Definition of Proj4EPSG32761 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4EPSG32761Attributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4EPSG32761Attributes::Proj4EPSG32761Attributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4EPSG32761Attributes::~Proj4EPSG32761Attributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4EPSG32761Attributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4EPSG32761Attributes::copy(const Proj4EPSG32761Attributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4EPSG32761Attributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4EPSG32761Attributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4EPSG32761Attributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4EPSG32761Attributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4EPSG32761Attributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4EPSG32761Attributes.h
   15:     \brief Definition of Proj4EPSG32761 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4EPSG32761Attributes_H
   25: #define Proj4EPSG32761Attributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4EPSG32761Attributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4EPSG32761Attributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4EPSG32761Attributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4EPSG32761Attributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4EPSG32761Attributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4EPSG3857Attributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4EPSG3857Attributes.h
   15:     \\brief Definition of Proj4EPSG3857 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4EPSG3857Attributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4EPSG3857Attributes::Proj4EPSG3857Attributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4EPSG3857Attributes::~Proj4EPSG3857Attributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4EPSG3857Attributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4EPSG3857Attributes::copy(const Proj4EPSG3857Attributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4EPSG3857Attributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4EPSG3857Attributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4EPSG3857Attributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4EPSG3857Attributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4EPSG3857Attributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4EPSG3857Attributes.h
   15:     \brief Definition of Proj4EPSG3857 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4EPSG3857Attributes_H
   25: #define Proj4EPSG3857Attributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4EPSG3857Attributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4EPSG3857Attributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4EPSG3857Attributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4EPSG3857Attributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4EPSG3857Attributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4EPSG4326Attributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4EPSG4326Attributes.h
   15:     \\brief Definition of Proj4EPSG4326 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4EPSG4326Attributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4EPSG4326Attributes::Proj4EPSG4326Attributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4EPSG4326Attributes::~Proj4EPSG4326Attributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4EPSG4326Attributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4EPSG4326Attributes::copy(const Proj4EPSG4326Attributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4EPSG4326Attributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4EPSG4326Attributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4EPSG4326Attributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4EPSG4326Attributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4EPSG4326Attributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4EPSG4326Attributes.h
   15:     \brief Definition of Proj4EPSG4326 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4EPSG4326Attributes_H
   25: #define Proj4EPSG4326Attributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4EPSG4326Attributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4EPSG4326Attributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4EPSG4326Attributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4EPSG4326Attributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4EPSG4326Attributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4EPSG900913Attributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4EPSG900913Attributes.h
   15:     \\brief Definition of Proj4EPSG900913 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4EPSG900913Attributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4EPSG900913Attributes::Proj4EPSG900913Attributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4EPSG900913Attributes::~Proj4EPSG900913Attributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4EPSG900913Attributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4EPSG900913Attributes::copy(const Proj4EPSG900913Attributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4EPSG900913Attributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4EPSG900913Attributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4EPSG900913Attributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4EPSG900913Attributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4EPSG900913Attributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4EPSG900913Attributes.h
   15:     \brief Definition of Proj4EPSG900913 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4EPSG900913Attributes_H
   25: #define Proj4EPSG900913Attributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4EPSG900913Attributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4EPSG900913Attributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4EPSG900913Attributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4EPSG900913Attributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4EPSG900913Attributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4GeosAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4GeosAttributes.h
   15:     \\brief Definition of Proj4Geos Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4GeosAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4GeosAttributes::Proj4GeosAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4GeosAttributes::~Proj4GeosAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4GeosAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4GeosAttributes::copy(const Proj4GeosAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4GeosAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4GeosAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4GeosAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4GeosAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4GeosAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4GeosAttributes.h
   15:     \brief Definition of Proj4Geos Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4GeosAttributes_H
   25: #define Proj4GeosAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4GeosAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4GeosAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4GeosAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4GeosAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4GeosAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4GeoseAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4GeoseAttributes.h
   15:     \\brief Definition of Proj4Geose Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4GeoseAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4GeoseAttributes::Proj4GeoseAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4GeoseAttributes::~Proj4GeoseAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4GeoseAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4GeoseAttributes::copy(const Proj4GeoseAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4GeoseAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4GeoseAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4GeoseAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4GeoseAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4GeoseAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4GeoseAttributes.h
   15:     \brief Definition of Proj4Geose Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4GeoseAttributes_H
   25: #define Proj4GeoseAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4GeoseAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4GeoseAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4GeoseAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4GeoseAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4GeoseAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4GeoswAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4GeoswAttributes.h
   15:     \\brief Definition of Proj4Geosw Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4GeoswAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4GeoswAttributes::Proj4GeoswAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4GeoswAttributes::~Proj4GeoswAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4GeoswAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4GeoswAttributes::copy(const Proj4GeoswAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4GeoswAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4GeoswAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4GeoswAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4GeoswAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4GeoswAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4GeoswAttributes.h
   15:     \brief Definition of Proj4Geosw Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4GeoswAttributes_H
   25: #define Proj4GeoswAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4GeoswAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4GeoswAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4GeoswAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4GeoswAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4GeoswAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4GoodeAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4GoodeAttributes.h
   15:     \\brief Definition of Proj4Goode Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4GoodeAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4GoodeAttributes::Proj4GoodeAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4GoodeAttributes::~Proj4GoodeAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4GoodeAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4GoodeAttributes::copy(const Proj4GoodeAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4GoodeAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4GoodeAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4GoodeAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4GoodeAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4GoodeAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4GoodeAttributes.h
   15:     \brief Definition of Proj4Goode Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4GoodeAttributes_H
   25: #define Proj4GoodeAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4GoodeAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4GoodeAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4GoodeAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4GoodeAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4GoodeAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4GoogleAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4GoogleAttributes.h
   15:     \\brief Definition of Proj4Google Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4GoogleAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4GoogleAttributes::Proj4GoogleAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4GoogleAttributes::~Proj4GoogleAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4GoogleAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4GoogleAttributes::copy(const Proj4GoogleAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4GoogleAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4GoogleAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4GoogleAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4GoogleAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4GoogleAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4GoogleAttributes.h
   15:     \brief Definition of Proj4Google Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4GoogleAttributes_H
   25: #define Proj4GoogleAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4GoogleAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4GoogleAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4GoogleAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4GoogleAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4GoogleAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4LambertAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4LambertAttributes.h
   15:     \\brief Definition of Proj4Lambert Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4LambertAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4LambertAttributes::Proj4LambertAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4LambertAttributes::~Proj4LambertAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4LambertAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4LambertAttributes::copy(const Proj4LambertAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4LambertAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4LambertAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4LambertAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4LambertAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4LambertAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4LambertAttributes.h
   15:     \brief Definition of Proj4Lambert Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4LambertAttributes_H
   25: #define Proj4LambertAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4LambertAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4LambertAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4LambertAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4LambertAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4LambertAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4LambertNorthAtlanticAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4LambertNorthAtlanticAttributes.h
   15:     \\brief Definition of Proj4LambertNorthAtlantic Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4LambertNorthAtlanticAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4LambertNorthAtlanticAttributes::Proj4LambertNorthAtlanticAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4LambertNorthAtlanticAttributes::~Proj4LambertNorthAtlanticAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4LambertNorthAtlanticAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4LambertNorthAtlanticAttributes::copy(const Proj4LambertNorthAtlanticAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4LambertNorthAtlanticAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4LambertNorthAtlanticAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4LambertNorthAtlanticAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4LambertNorthAtlanticAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4LambertNorthAtlanticAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4LambertNorthAtlanticAttributes.h
   15:     \brief Definition of Proj4LambertNorthAtlantic Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4LambertNorthAtlanticAttributes_H
   25: #define Proj4LambertNorthAtlanticAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4LambertNorthAtlanticAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4LambertNorthAtlanticAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4LambertNorthAtlanticAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4LambertNorthAtlanticAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4LambertNorthAtlanticAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4MercatorAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4MercatorAttributes.h
   15:     \\brief Definition of Proj4Mercator Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4MercatorAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4MercatorAttributes::Proj4MercatorAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4MercatorAttributes::~Proj4MercatorAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4MercatorAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4MercatorAttributes::copy(const Proj4MercatorAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4MercatorAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4MercatorAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4MercatorAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4MercatorAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4MercatorAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4MercatorAttributes.h
   15:     \brief Definition of Proj4Mercator Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4MercatorAttributes_H
   25: #define Proj4MercatorAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4MercatorAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4MercatorAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4MercatorAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4MercatorAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4MercatorAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4Meteosat0Attributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4Meteosat0Attributes.h
   15:     \\brief Definition of Proj4Meteosat0 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4Meteosat0Attributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4Meteosat0Attributes::Proj4Meteosat0Attributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4Meteosat0Attributes::~Proj4Meteosat0Attributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4Meteosat0Attributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4Meteosat0Attributes::copy(const Proj4Meteosat0Attributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4Meteosat0Attributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4Meteosat0Attributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4Meteosat0Attributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4Meteosat0Attributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4Meteosat0Attributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4Meteosat0Attributes.h
   15:     \brief Definition of Proj4Meteosat0 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4Meteosat0Attributes_H
   25: #define Proj4Meteosat0Attributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4Meteosat0Attributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4Meteosat0Attributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4Meteosat0Attributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4Meteosat0Attributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4Meteosat0Attributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4Meteosat145Attributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4Meteosat145Attributes.h
   15:     \\brief Definition of Proj4Meteosat145 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4Meteosat145Attributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4Meteosat145Attributes::Proj4Meteosat145Attributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4Meteosat145Attributes::~Proj4Meteosat145Attributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4Meteosat145Attributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4Meteosat145Attributes::copy(const Proj4Meteosat145Attributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4Meteosat145Attributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4Meteosat145Attributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4Meteosat145Attributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4Meteosat145Attributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4Meteosat145Attributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4Meteosat145Attributes.h
   15:     \brief Definition of Proj4Meteosat145 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4Meteosat145Attributes_H
   25: #define Proj4Meteosat145Attributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4Meteosat145Attributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4Meteosat145Attributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4Meteosat145Attributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4Meteosat145Attributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4Meteosat145Attributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4Meteosat57Attributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4Meteosat57Attributes.h
   15:     \\brief Definition of Proj4Meteosat57 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4Meteosat57Attributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4Meteosat57Attributes::Proj4Meteosat57Attributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4Meteosat57Attributes::~Proj4Meteosat57Attributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4Meteosat57Attributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4Meteosat57Attributes::copy(const Proj4Meteosat57Attributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4Meteosat57Attributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4Meteosat57Attributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4Meteosat57Attributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4Meteosat57Attributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4Meteosat57Attributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4Meteosat57Attributes.h
   15:     \brief Definition of Proj4Meteosat57 Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4Meteosat57Attributes_H
   25: #define Proj4Meteosat57Attributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4Meteosat57Attributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4Meteosat57Attributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4Meteosat57Attributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4Meteosat57Attributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4Meteosat57Attributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4MollweideAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4MollweideAttributes.h
   15:     \\brief Definition of Proj4Mollweide Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4MollweideAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4MollweideAttributes::Proj4MollweideAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4MollweideAttributes::~Proj4MollweideAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4MollweideAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4MollweideAttributes::copy(const Proj4MollweideAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4MollweideAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4MollweideAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4MollweideAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4MollweideAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4MollweideAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4MollweideAttributes.h
   15:     \brief Definition of Proj4Mollweide Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4MollweideAttributes_H
   25: #define Proj4MollweideAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4MollweideAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4MollweideAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4MollweideAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4MollweideAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4MollweideAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4PolarNorthAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4PolarNorthAttributes.h
   15:     \\brief Definition of Proj4PolarNorth Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4PolarNorthAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4PolarNorthAttributes::Proj4PolarNorthAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4PolarNorthAttributes::~Proj4PolarNorthAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4PolarNorthAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4PolarNorthAttributes::copy(const Proj4PolarNorthAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4PolarNorthAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4PolarNorthAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4PolarNorthAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4PolarNorthAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4PolarNorthAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4PolarNorthAttributes.h
   15:     \brief Definition of Proj4PolarNorth Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4PolarNorthAttributes_H
   25: #define Proj4PolarNorthAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4PolarNorthAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4PolarNorthAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4PolarNorthAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4PolarNorthAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4PolarNorthAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4PolarSouthAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4PolarSouthAttributes.h
   15:     \\brief Definition of Proj4PolarSouth Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4PolarSouthAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4PolarSouthAttributes::Proj4PolarSouthAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4PolarSouthAttributes::~Proj4PolarSouthAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4PolarSouthAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4PolarSouthAttributes::copy(const Proj4PolarSouthAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4PolarSouthAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4PolarSouthAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4PolarSouthAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4PolarSouthAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4PolarSouthAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4PolarSouthAttributes.h
   15:     \brief Definition of Proj4PolarSouth Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4PolarSouthAttributes_H
   25: #define Proj4PolarSouthAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4PolarSouthAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4PolarSouthAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4PolarSouthAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4PolarSouthAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4PolarSouthAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4ProjectionAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4ProjectionAttributes.h
   15:     \\brief Definition of Proj4Projection Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4ProjectionAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4ProjectionAttributes::Proj4ProjectionAttributes():
   30  	setting_(ParameterManager::getString("subpage_map_area_definition")),
   31  	min_latitude_(ParameterManager::getDouble("subpage_lower_left_latitude")),
   ..
   50  
   51  
   52: Proj4ProjectionAttributes::~Proj4ProjectionAttributes()
   53  {
   54  	
   ..
   56  
   57      
   58: void Proj4ProjectionAttributes::set(const std::map<string, string>& params)
   59  {
   60  	vector<string> prefix(1);
   ..
   82  }
   83  
   84: void Proj4ProjectionAttributes::copy(const Proj4ProjectionAttributes& other)
   85  {
   86  	setting_ = other.setting_;
   ..
  104  
  105  
  106: bool Proj4ProjectionAttributes::accept(const string& node)
  107  {	
  108  	if ( magCompare(node, "None")  )
  ...
  112  }
  113  
  114: void Proj4ProjectionAttributes::set(const XmlNode& node)
  115  {
  116  	if ( this->accept(node.name()) == false ) 
  ...
  128  }
  129  
  130: void Proj4ProjectionAttributes::print(ostream& out)  const
  131  {
  132  	out << "Attributes[";
  ...
  151  }
  152  
  153: void Proj4ProjectionAttributes::toxml(ostream& out)  const
  154  {
  155  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4ProjectionAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4ProjectionAttributes.h
   15:     \brief Definition of Proj4Projection Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4ProjectionAttributes_H
   25: #define Proj4ProjectionAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4ProjectionAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4ProjectionAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4ProjectionAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4ProjectionAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   70  
   71  private:
   72: 	friend ostream& operator<<(ostream& s,const Proj4ProjectionAttributes& p)
   73  	{ p.print(s); return s; }
   74  };

/Users/sylvie/build/magics/src/params/Proj4RobinsonAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4RobinsonAttributes.h
   15:     \\brief Definition of Proj4Robinson Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4RobinsonAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4RobinsonAttributes::Proj4RobinsonAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4RobinsonAttributes::~Proj4RobinsonAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4RobinsonAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4RobinsonAttributes::copy(const Proj4RobinsonAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4RobinsonAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4RobinsonAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4RobinsonAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4RobinsonAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4RobinsonAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4RobinsonAttributes.h
   15:     \brief Definition of Proj4Robinson Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4RobinsonAttributes_H
   25: #define Proj4RobinsonAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4RobinsonAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4RobinsonAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4RobinsonAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4RobinsonAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4RobinsonAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4TPersAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4TPersAttributes.h
   15:     \\brief Definition of Proj4TPers Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4TPersAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4TPersAttributes::Proj4TPersAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4TPersAttributes::~Proj4TPersAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4TPersAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4TPersAttributes::copy(const Proj4TPersAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4TPersAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4TPersAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4TPersAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4TPersAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4TPersAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4TPersAttributes.h
   15:     \brief Definition of Proj4TPers Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4TPersAttributes_H
   25: #define Proj4TPersAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4TPersAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4TPersAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4TPersAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4TPersAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4TPersAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/TaylorProjectionAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file TaylorProjectionAttributes.h
   15:     \\brief Definition of TaylorProjection Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "TaylorProjectionAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: TaylorProjectionAttributes::TaylorProjectionAttributes():
   30  	min_(ParameterManager::getDouble("taylor_standard_deviation_min")),
   31  	max_(ParameterManager::getDouble("taylor_standard_deviation_max"))
   ..
   36  
   37  
   38: TaylorProjectionAttributes::~TaylorProjectionAttributes()
   39  {
   40  	
   ..
   42  
   43      
   44: void TaylorProjectionAttributes::set(const std::map<string, string>& params)
   45  {
   46  	vector<string> prefix(3);
   ..
   56  }
   57  
   58: void TaylorProjectionAttributes::copy(const TaylorProjectionAttributes& other)
   59  {
   60  	min_ = other.min_;
   ..
   64  
   65  
   66: bool TaylorProjectionAttributes::accept(const string& node)
   67  {	
   68  	if ( magCompare(node, "taylor")  )
   ..
   72  }
   73  
   74: void TaylorProjectionAttributes::set(const XmlNode& node)
   75  {
   76  	if ( this->accept(node.name()) == false ) 
   ..
   88  }
   89  
   90: void TaylorProjectionAttributes::print(ostream& out)  const
   91  {
   92  	out << "Attributes[";
   ..
   97  }
   98  
   99: void TaylorProjectionAttributes::toxml(ostream& out)  const
  100  {
  101  	out <<  "\"taylor\""; 

/Users/sylvie/build/magics/src/params/TaylorProjectionAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileTaylorProjectionAttributes.h
   15:     \brief Definition of TaylorProjection Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef TaylorProjectionAttributes_H
   25: #define TaylorProjectionAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class TaylorProjectionAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     TaylorProjectionAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~TaylorProjectionAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const TaylorProjectionAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   56  
   57  private:
   58: 	friend ostream& operator<<(ostream& s,const TaylorProjectionAttributes& p)
   59  	{ p.print(s); return s; }
   60  };

/Users/sylvie/build/magics/src/params/XmlViewNodeAttributes.cc:
  112  static MagicsParameter<string> view_fitted_mode("view_fitted_mode", "off", "");
  113  static MagicsParameter<string> subpage_map_projection("subpage_map_projection", "cylindrical", ""); 
  114: #include "GeoRectangularProjection.h"
  115  #include "CartesianTransformation.h"
  116: #include "TaylorProjection.h"
  117  #include "Tephigram.h"
  118  #include "Skewt.h"
  119  #include "Emagram.h"
  120: static SimpleObjectMaker<GeoRectangularProjection , Transformation> cylindrical_GeoRectangularProjection("cylindrical");
  121  static SimpleObjectMaker<CartesianTransformation , Transformation> cartesian_CartesianTransformation("cartesian");
  122  static SimpleObjectMaker<CartesianTransformation , Transformation> none_CartesianTransformation("none");
  123: static SimpleObjectMaker<TaylorProjection , Transformation> taylor_TaylorProjection("taylor");
  124  static SimpleObjectMaker<Tephigram , Transformation> tephigram_Tephigram("tephigram");
  125  static SimpleObjectMaker<Skewt , Transformation> skew_t_Skewt("skew_t");

1555 matches across 98 files


Searching 1232 files for "Proj4P" (case sensitive)

/Users/sylvie/git/magics/src/common/MatrixHandler.h:
  489  #endif
  490  
  491: #include <Proj4P.h>
  492  
  493  class Proj4MatrixHandler : public MatrixHandler {
  ...
  509    double maxy_;
  510  
  511:   Proj4P proj4_;
  512:   Proj4P latlon_;
  513  };
  514  

/Users/sylvie/git/magics/src/common/Proj4P.h:
    1: /*! \file Proj4P.h
    2:     \brief Definition of the Template class Proj4P.
    3  
    4      Magics Team - ECMWF 2019
    .
   10  */
   11  
   12: #ifndef Proj4P_H
   13: #define Proj4P_H
   14  
   15  #include <proj.h>
   ..
   19  namespace magics {
   20  
   21: class Proj4P {
   22   public:
   23:   Proj4P();
   24:   virtual ~Proj4P();
   25  
   26   protected:
   ..
   32   private:
   33    //! Copy constructor - No copy allowed
   34:   Proj4P(const Proj4P&);
   35    //! Overloaded << operator to copy - No copy allowed
   36:   Proj4P& operator=(const Proj4P&);
   37  
   38    // -- Friends
   39    //! Overloaded << operator to call print().
   40:   friend ostream& operator<<(ostream& s, const Proj4P& p) {
   41      p.print(s);
   42      return s;

/Users/sylvie/git/magics/src/common/Proj4Projection.cc:
    9   */
   10  
   11: /*! \file Proj4Projection.cc
   12:     \brief Implementation of Proj4Projection.
   13      \author Meteorological Visualisation Section, ECMWF
   14  
   ..
   24  #include <ParameterSettings.h>
   25  #include <Polyline.h>
   26: #include <Proj4Projection.h>
   27  #include <Text.h>
   28  #include <cmath>
   ..
   50      string definition_;
   51  
   52:     typedef void (Epsg::*InitMethod)(const Proj4Projection&);
   53      typedef void (Epsg::*Method)(const json_spirit::Value&);
   54      map<string, Method> methods_;
   ..
   62      void method(const json_spirit::Value& value) { method_ = value.get_value<string>(); }
   63  
   64:     void init(const Proj4Projection& from) {
   65          map<string, InitMethod>::iterator initmethod = initMethods_.find(name_);
   66          if (initmethod != initMethods_.end()) {
   ..
   69      }
   70  
   71:     void geosinit(const Proj4Projection& from) {
   72          minlon_ = from.vertical_longitude_ - 80;
   73          maxlon_ = from.vertical_longitude_ + 80;
   ..
   83      }
   84  
   85:     void tpersinit(const Proj4Projection& from) {
   86          ostringstream def;
   87  
   ..
   94      }
   95  
   96:     void polarinit(const Proj4Projection& from) {
   97          ostringstream def;
   98  
   ..
  103      }
  104  
  105:     void polarsouthinit(const Proj4Projection& from) {
  106          ostringstream def;
  107  
  ...
  124      void set(const json_spirit::Value&);
  125  
  126:     static Epsg* find(const Proj4Projection& from) {
  127          string name                       = lowerCase(from.name());
  128          map<string, Epsg*>::iterator epsg = epsgs_.find(name);
  ...
  185    \brief Constructor
  186  */
  187: Proj4Projection::Proj4Projection(const string& definition) :
  188      definition_(definition),
  189      gridMinLon_(DBL_MAX),
  ...
  197  }
  198  
  199: Proj4Projection::Proj4Projection() :
  200      gridMinLon_(DBL_MAX),
  201      gridMinLat_(DBL_MAX),
  ...
  207      config.init();
  208  }
  209: void Proj4Projection::populate(double lon, double lat, double val, vector<UserPoint>& out) const {
  210      if (in(lon, lat))
  211          out.push_back(UserPoint(lon, lat, val));
  ...
  220    \brief Destructor
  221  */
  222: Proj4Projection::~Proj4Projection() {}
  223  
  224: void Proj4Projection::print(ostream& out) const {
  225:     out << "Proj4Projection[";
  226:     Proj4ProjectionAttributes::print(out);
  227      out << "]";
  228  }
  229  
  230: magics::Polyline& Proj4Projection::getPCBoundingBox() const {
  231      return *PCEnveloppe_;
  232  }
  233  
  234: magics::Polyline& Proj4Projection::getUserBoundingBox() const {
  235      return *userEnveloppe_;
  236  }
  237  
  238: void Proj4Projection::init() {
  239:     MagLog::dev() << "Proj4Projection::init()" << *this << endl;
  240  
  241      from_       = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  ...
  250  
  251  
  252:     methods_["geos"]   = &Proj4Projection::geos;
  253:     methods_["tpers"]  = &Proj4Projection::tpers;
  254:     methods_["polar"]  = &Proj4Projection::conic;
  255:     methods_["conic"]  = &Proj4Projection::conic;
  256:     methods_["simple"] = &Proj4Projection::simple;
  257  
  258      map<string, InitMethod>::iterator method = methods_.find(projection_->method_);
  ...
  262          simple();
  263  
  264:     helpers_["full"]       = &Proj4Projection::full;
  265:     helpers_["corners"]    = &Proj4Projection::corners;
  266:     helpers_["centre"]     = &Proj4Projection::centre;
  267:     helpers_["projection"] = &Proj4Projection::projectionSimple;
  268  
  269      if (coordinates_system_ == "projection")
  ...
  286  }
  287  
  288: bool Proj4Projection::addSouth() const {
  289      return (projection_->method_ == "simple");
  290  }
  291: void Proj4Projection::full() {
  292      if (projection_->method_ == "simple") {
  293          if (max_longitude_ != 180.) {
  ...
  336  
  337  
  338: void Proj4Projection::wrap(double& x, double& y) {}
  339  
  340: void Proj4Projection::corners() {
  341      // we have to update the PCBounding box!
  342      min_pcx_ = min_longitude_;
  ...
  354  }
  355  
  356: void Proj4Projection::centre() {}
  357  
  358: PaperPoint Proj4Projection::operator()(const UserPoint& point) const {
  359      if (!from_) {
  360          from_       = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  ...
  382  }
  383  
  384: PaperPoint Proj4Projection::operator()(const PaperPoint& point) const {
  385:     MagLog::dev() << "Proj4Projection::operator()(...) needs implementing." << endl;
  386      return Transformation::operator()(point);
  387  }
  388  
  389: void Proj4Projection::setNewPCBox(double minx, double miny, double maxx, double maxy) {
  390      PaperPoint p1(minx, miny);
  391      PaperPoint p2(maxx, maxy);
  ...
  405  }
  406  
  407: void Proj4Projection::revert(const PaperPoint& xy, UserPoint& point) const {
  408      static bool first = true;
  409      if (first) {
  410:         const_cast<Proj4Projection*>(this)->init();
  411          first = false;
  412      }
  ...
  436  
  437  
  438: bool Proj4Projection::needShiftedCoastlines() const {
  439      // Will need w new parameter to know!
  440      return false;
  441  }
  442  
  443: void Proj4Projection::aspectRatio(double& width, double& height) {
  444:     MagLog::dev() << "Proj4Projection::aspectRatio(...) needs implementing." << endl;
  445      Transformation::aspectRatio(width, height);
  446  }
  447  
  448  
  449: void Proj4Projection::add(double lon, double lat) {
  450      double x  = lon * DEG_TO_RAD;
  451      double y  = DEG_TO_RAD * lat;
  ...
  474  }
  475  
  476: void Proj4Projection::conic() {
  477      userEnveloppe_->clear();
  478      PCEnveloppe_->clear();
  ...
  491  
  492  
  493: void Proj4Projection::simple() {
  494      userEnveloppe_->clear();
  495      PCEnveloppe_->clear();
  ...
  518  }
  519  
  520: void Proj4Projection::projectionSimple() {
  521      min_pcx_ = min_longitude_;
  522      min_pcy_ = min_latitude_;
  ...
  553  
  554  
  555: void Proj4Projection::geos() {
  556      userEnveloppe_->clear();
  557      PCEnveloppe_->clear();
  ...
  607  }
  608  
  609: magics::Polyline& Proj4Projection::getSimplePCBoundingBox() const {
  610      static magics::Polyline box;
  611      box.box(PaperPoint(min_pcx_, min_pcy_), PaperPoint(max_pcx_, max_pcy_));
  ...
  623  }
  624  
  625: void Proj4Projection::tpers() {
  626      userEnveloppe_->clear();
  627      PCEnveloppe_->clear();
  ...
  715  
  716  
  717: void Proj4Projection::boundingBox(double& xmin, double& ymin, double& xmax, double& ymax) const {
  718      if (!from_) {
  719          from_ = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  ...
  729  }
  730  
  731: double Proj4Projection::getMinX() const {
  732      return gridMinLon_;
  733  }
  734  
  735: double Proj4Projection::getMinY() const {
  736      return gridMinLat_;
  737  }
  738  
  739: double Proj4Projection::getMaxX() const {
  740      return gridMaxLon_;
  741  }
  742  
  743: double Proj4Projection::getMaxY() const {
  744      return gridMaxLat_;
  745  }
  746  
  747: void Proj4Projection::setMinX(double x) {
  748      min_longitude_ = x;
  749  }
  750  
  751: void Proj4Projection::setMinY(double y) {
  752      min_latitude_ = y;
  753  }
  754  
  755: void Proj4Projection::setMaxX(double x) {
  756      max_longitude_ = x;
  757  }
  758  
  759: void Proj4Projection::setMaxY(double y) {
  760      max_latitude_ = y;
  761  }
  762  
  763: double Proj4Projection::getMinPCX() const {
  764      return min_pcx_;
  765  }
  766  
  767: double Proj4Projection::getMinPCY() const {
  768      return min_pcy_;
  769  }
  770  
  771: double Proj4Projection::getMaxPCX() const {
  772      return max_pcx_;
  773  }
  774  
  775: double Proj4Projection::getMaxPCY() const {
  776      return max_pcy_;
  777  }
  778  
  779: void Proj4Projection::fill(double& width, double& height) {
  780      Transformation::fill(width, height);
  781      setting_       = "projection";
  ...
  785      max_latitude_  = max_pcy_;
  786  }
  787: void Proj4Projection::gridLongitudes(const GridPlotting& grid) const {
  788      vector<double> longitudes = grid.longitudes();
  789  
  ...
  820  }
  821  
  822: void Proj4Projection::gridLatitudes(const GridPlotting& grid) const {
  823      const vector<double>& latitudes = grid.latitudes();
  824  
  ...
  851  }
  852  
  853: void Proj4Projection::labels(const LabelPlotting& label, DrawingVisitor& visitor) const {
  854      if (projection_->method_ == "simple")
  855          return;
  ...
  884  
  885  
  886: void Proj4Projection::labels(const LabelPlotting& label, LeftAxisVisitor& visitor) const {
  887      if (projection_->method_ == "simple") {
  888          const vector<double>& latitudes = label.latitudes();
  ...
  914  }
  915  
  916: void Proj4Projection::labels(const LabelPlotting& label, RightAxisVisitor& visitor) const {
  917      if (projection_->method_ == "simple") {
  918          const vector<double>& latitudes = label.latitudes();
  ...
  943  }
  944  
  945: void Proj4Projection::labels(const LabelPlotting& label, BottomAxisVisitor& visitor) const {
  946      if (projection_->method_ == "simple") {
  947          const vector<double>& longitudes = label.longitudes();
  ...
  993  }
  994  
  995: void Proj4Projection::verticalLabels(const LabelPlotting& label, double x, double pos, Justification justif) const {
  996      const vector<double>& longitudes = label.longitudes();
  997      for (vector<double>::const_iterator lon = longitudes.begin(); lon != longitudes.end(); ++lon) {
  ...
 1024  }
 1025  
 1026: void Proj4Projection::horizontalLabels(const LabelPlotting& label, double y, double pos, VerticalAlign align) const {
 1027      const vector<double>& longitudes = label.longitudes();
 1028      for (vector<double>::const_iterator lon = longitudes.begin(); lon != longitudes.end(); ++lon) {
 ....
 1055  }
 1056  
 1057: void Proj4Projection::labels(const LabelPlotting& label, TopAxisVisitor& visitor) const {
 1058      if (projection_->method_ == "simple") {
 1059          const vector<double>& longitudes = label.longitudes();
 ....
 1084  }
 1085  
 1086: void Proj4Projection::reprojectComponents(double& x, double& y, pair<double, double>& components) const {
 1087      const double speed = sqrt((components.first * components.first) + (components.second * components.second));
 1088      const double angle = atan2(components.second, components.first);
 ....
 1108  }
 1109  
 1110: void Proj4Projection::reprojectSpeedDirection(const PaperPoint& point, pair<double, double>& wind) const {
 1111      double x = point.x_;
 1112      double y = point.y_;
 ....
 1123  }
 1124  
 1125: void Proj4Projection::revert(const vector<std::pair<double, double> >& in,
 1126                               vector<std::pair<double, double> >& out) const {
 1127:     const_cast<Proj4Projection*>(this)->init();
 1128      out.reserve(in.size());
 1129      for (vector<std::pair<double, double> >::const_iterator pt = in.begin(); pt != in.end(); ++pt) {
 ....
 1155  }
 1156  
 1157: void Proj4Projection::coastSetting(map<string, string>& setting, double abswidth, double absheight) const {
 1158      // work out the ratios of geographical to paper lengths
 1159      // const double xratio = ( xpcmax_ - xpcmin_ ) / abswidth;
 ....
 1187  }
 1188  
 1189: void Proj4Projection::visit(MetaDataVisitor& visitor, double left, double top, double width, double height,
 1190                              double iwidth, double iheight) {
 1191      ostringstream java;
 ....
 1217  }
 1218  
 1219: MatrixHandler* Proj4Projection::prepareData(const AbstractMatrix& matrix) const {
 1220      return new GeoBoxMatrixHandler(matrix, *this);
 1221  }
 1222  
 1223: bool Proj4Projection::fast_reproject(double& x, double& y) const {
 1224      int factor = 0;
 1225      if (wraparound_) {
 ....
 1243  }
 1244  
 1245: double Proj4Projection::patchDistance(double res) const {
 1246      double x1 = 0;
 1247      double y1 = 60;
 ....
 1255  }
 1256  
 1257: void Proj4Projection::collect(MetaDataCollector& collector) const {
 1258      collector["Projection"]        = definition_;
 1259      collector["Proj4  Definition"] = projection_->definition();
 1260  }
 1261  
 1262: void Proj4Projection::getNewDefinition(const UserPoint& ll, const UserPoint& ur, string& out) const {
 1263      map<string, string> def;
 1264      def["subpage_map_projection"]        = definition_;
 ....
 1272  }
 1273  
 1274: void Proj4Projection::setDefinition(const string& json) {
 1275      if (json.empty())
 1276          return;
 ....
 1334  void Proj4Automatic::init() {
 1335      if (init_)
 1336:         Proj4Projection::init();
 1337  }
 1338  
 1339: Proj4Automatic::Proj4Automatic() : Proj4Projection("automatic"), init_(false) {}
 1340  
 1341  void Proj4Automatic::aspectRatio(double& width, double& height) {

/Users/sylvie/git/magics/src/common/Proj4Projection.h:
   10  
   11  /*!
   12:     \file Proj4Projection.h
   13:     \brief Definition of Proj4Projection.
   14      \author Meteorological Visualisation Section, ECMWF
   15  
   ..
   17  */
   18  
   19: #ifndef _Proj4Projection_H
   20: #define _Proj4Projection_H
   21  
   22: #include <Proj4ProjectionAttributes.h>
   23  #include <Transformation.h>
   24  #include <XmlNode.h>
   ..
   35  class MetaDataVisistor;
   36  class Epsg;
   37: /*! \class Proj4Projection
   38      \brief Implements a new projection
   39      \ingroup projection
   ..
   42  */
   43  
   44: class Proj4Projection : public Transformation,
   45:                         public Proj4ProjectionAttributes {
   46   public:
   47:   Proj4Projection();
   48:   Proj4Projection(const string& definition);
   49:   ~Proj4Projection();
   50  
   51    /*!
   ..
   54    void set(const XmlNode& node) {
   55      Transformation::set(node);
   56:     Proj4ProjectionAttributes::set(node);
   57      init();
   58    }
   ..
   62    void set(const map<string, string>& map) {
   63      Transformation::set(map);
   64:     Proj4ProjectionAttributes::set(map);
   65      init();
   66    }
   67  
   68    virtual Transformation* clone() const {
   69:     Proj4Projection* transformation = new Proj4Projection(definition_);
   70      transformation->copy(*this);
   71      return transformation;
   ..
  203    Polyline& getUserBoundingBox() const;
  204  
  205:   typedef void (Proj4Projection::*InitMethod)();
  206    map<string, InitMethod> methods_;
  207  
  ...
  231    //! Method to print string about this class on to a stream of type ostream
  232    //! (virtual).
  233:   typedef void (Proj4Projection::*SettingHelper)();
  234    map<string, SettingHelper> helpers_;
  235  
  ...
  258   private:
  259    //! Copy constructor - No copy allowed
  260:   Proj4Projection(const Proj4Projection&);
  261    //! Overloaded << operator to copy - No copy allowed
  262:   Proj4Projection& operator=(const Proj4Projection&);
  263  
  264    // -- Friends
  265    //! Overloaded << operator to call print().
  266:   friend ostream& operator<<(ostream& s, const Proj4Projection& p) {
  267      p.print(s);
  268      return s;
  ...
  270  };
  271  
  272: class Proj4PolarNorth : public Proj4Projection {
  273   public:
  274:   Proj4PolarNorth() : Proj4Projection("polar_north") {}
  275  };
  276  
  277: class Proj4PolarSouth : public Proj4Projection {
  278   public:
  279:   Proj4PolarSouth() : Proj4Projection("polar_south") {}
  280  };
  281  
  282: class Proj4Lambert : public Proj4Projection {
  283   public:
  284:   Proj4Lambert() : Proj4Projection("lambert") {}
  285  };
  286: class Proj4EPSG3857 : public Proj4Projection {
  287   public:
  288:   Proj4EPSG3857() : Proj4Projection("EPSG:3857") {}
  289  };
  290: class Proj4EPSG900913 : public Proj4Projection {
  291   public:
  292:   Proj4EPSG900913() : Proj4Projection("EPSG:3857") {}
  293  };
  294: class Proj4Geos : public Proj4Projection {
  295   public:
  296:   Proj4Geos() : Proj4Projection("geos") {}
  297  };
  298: class Proj4TPers : public Proj4Projection {
  299   public:
  300:   Proj4TPers() : Proj4Projection("tpers") {}
  301  };
  302: class Proj4Meteosat0 : public Proj4Projection {
  303   public:
  304:   Proj4Meteosat0() : Proj4Projection("meteosat_0") {}
  305  };
  306: class Proj4Meteosat57 : public Proj4Projection {
  307   public:
  308:   Proj4Meteosat57() : Proj4Projection("meteosat_575") {}
  309  };
  310: class Proj4Meteosat145 : public Proj4Projection {
  311   public:
  312:   Proj4Meteosat145() : Proj4Projection("meteosat_145") {}
  313  };
  314: class Proj4Geose : public Proj4Projection {
  315   public:
  316:   Proj4Geose() : Proj4Projection("goes-east") {}
  317  };
  318: class Proj4Geosw : public Proj4Projection {
  319   public:
  320:   Proj4Geosw() : Proj4Projection("goes-w") {}
  321  };
  322: class Proj4Goode : public Proj4Projection {
  323   public:
  324:   Proj4Goode() : Proj4Projection("goode") {}
  325  };
  326: class Proj4Mercator : public Proj4Projection {
  327   public:
  328:   Proj4Mercator() : Proj4Projection("mercator") {}
  329  };
  330: class Proj4Collignon : public Proj4Projection {
  331   public:
  332:   Proj4Collignon() : Proj4Projection("collignon") {}
  333  };
  334  
  335: class Proj4Mollweide : public Proj4Projection {
  336   public:
  337:   Proj4Mollweide() : Proj4Projection("mollweide") {}
  338  };
  339: class Proj4Robinson : public Proj4Projection {
  340   public:
  341:   Proj4Robinson() : Proj4Projection("robinson") {}
  342  };
  343: class Proj4Bonne : public Proj4Projection {
  344   public:
  345:   Proj4Bonne() : Proj4Projection("bonne") {}
  346  };
  347: class Proj4Google : public Proj4Projection {
  348   public:
  349:   Proj4Google() : Proj4Projection("google") {}
  350  };
  351: class Proj4Efas : public Proj4Projection {
  352   public:
  353:   Proj4Efas() : Proj4Projection("efas") {}
  354  };
  355  
  356: class Proj4LambertNorthAtlantic : public Proj4Projection {
  357   public:
  358:   Proj4LambertNorthAtlantic() : Proj4Projection("lambert_north_atlantic") {}
  359  };
  360: class Proj4EPSG32661 : public Proj4Projection {
  361   public:
  362:   Proj4EPSG32661() : Proj4Projection("EPSG:32661") {}
  363  };
  364: class Proj4EPSG32761 : public Proj4Projection {
  365   public:
  366:   Proj4EPSG32761() : Proj4Projection("EPSG:32761") {}
  367  };
  368: class Proj4EPSG4326 : public Proj4Projection {
  369   public:
  370:   Proj4EPSG4326() : Proj4Projection("EPSG:4326") {}
  371  };
  372  
  373: class Proj4Automatic : public Proj4Projection {
  374   public:
  375    Proj4Automatic();

/Users/sylvie/build/magics/src/params/FortranViewNodeAttributes.cc:
  305  #include "GeoRectangularProjection.h"
  306  #include "PolarStereographicProjection.h"
  307: #include "Proj4Projection.h"
  308  #include "CartesianTransformation.h"
  309  #include "TaylorProjection.h"
  ...
  315  static SimpleObjectMaker<GeoRectangularProjection , Transformation> cylindrical_GeoRectangularProjection("cylindrical");
  316  static SimpleObjectMaker<PolarStereographicProjection , Transformation> polar_stereographic_PolarStereographicProjection("polar_stereographic");
  317: static SimpleObjectMaker<Proj4PolarNorth , Transformation> polar_north_Proj4PolarNorth("polar_north");
  318: static SimpleObjectMaker<Proj4PolarSouth , Transformation> polar_south_Proj4PolarSouth("polar_south");
  319  static SimpleObjectMaker<Proj4Geos , Transformation> geos_Proj4Geos("geos");
  320  static SimpleObjectMaker<Proj4Meteosat0 , Transformation> meteosat_Proj4Meteosat0("meteosat");

/Users/sylvie/build/magics/src/params/Proj4PolarNorthAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4PolarNorthAttributes.h
   15:     \\brief Definition of Proj4PolarNorth Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4PolarNorthAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4PolarNorthAttributes::Proj4PolarNorthAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4PolarNorthAttributes::~Proj4PolarNorthAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4PolarNorthAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4PolarNorthAttributes::copy(const Proj4PolarNorthAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4PolarNorthAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4PolarNorthAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4PolarNorthAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4PolarNorthAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4PolarNorthAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4PolarNorthAttributes.h
   15:     \brief Definition of Proj4PolarNorth Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4PolarNorthAttributes_H
   25: #define Proj4PolarNorthAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4PolarNorthAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4PolarNorthAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4PolarNorthAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4PolarNorthAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4PolarNorthAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4PolarSouthAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4PolarSouthAttributes.h
   15:     \\brief Definition of Proj4PolarSouth Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4PolarSouthAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4PolarSouthAttributes::Proj4PolarSouthAttributes()
   30  	
   31  	 
   ..
   34  
   35  
   36: Proj4PolarSouthAttributes::~Proj4PolarSouthAttributes()
   37  {
   38  	
   ..
   40  
   41      
   42: void Proj4PolarSouthAttributes::set(const std::map<string, string>& params)
   43  {
   44  	vector<string> prefix(1);
   ..
   50  }
   51  
   52: void Proj4PolarSouthAttributes::copy(const Proj4PolarSouthAttributes& other)
   53  {
   54  	
   ..
   56  
   57  
   58: bool Proj4PolarSouthAttributes::accept(const string& node)
   59  {	
   60  	if ( magCompare(node, "None")  )
   ..
   64  }
   65  
   66: void Proj4PolarSouthAttributes::set(const XmlNode& node)
   67  {
   68  	if ( this->accept(node.name()) == false ) 
   ..
   80  }
   81  
   82: void Proj4PolarSouthAttributes::print(ostream& out)  const
   83  {
   84  	out << "Attributes[";
   ..
   87  }
   88  
   89: void Proj4PolarSouthAttributes::toxml(ostream& out)  const
   90  {
   91  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4PolarSouthAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4PolarSouthAttributes.h
   15:     \brief Definition of Proj4PolarSouth Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4PolarSouthAttributes_H
   25: #define Proj4PolarSouthAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4PolarSouthAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4PolarSouthAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4PolarSouthAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4PolarSouthAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   54  
   55  private:
   56: 	friend ostream& operator<<(ostream& s,const Proj4PolarSouthAttributes& p)
   57  	{ p.print(s); return s; }
   58  };

/Users/sylvie/build/magics/src/params/Proj4ProjectionAttributes.cc:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \\file Proj4ProjectionAttributes.h
   15:     \\brief Definition of Proj4Projection Attributes class.
   16  
   17      This file is automatically generated.
   ..
   21  */
   22  
   23: #include "Proj4ProjectionAttributes.h"
   24  #include "MagicsParameter.h"
   25  #include "ParameterSettings.h"
   ..
   27  using namespace magics;
   28  
   29: Proj4ProjectionAttributes::Proj4ProjectionAttributes():
   30  	setting_(ParameterManager::getString("subpage_map_area_definition")),
   31  	min_latitude_(ParameterManager::getDouble("subpage_lower_left_latitude")),
   ..
   50  
   51  
   52: Proj4ProjectionAttributes::~Proj4ProjectionAttributes()
   53  {
   54  	
   ..
   56  
   57      
   58: void Proj4ProjectionAttributes::set(const std::map<string, string>& params)
   59  {
   60  	vector<string> prefix(1);
   ..
   82  }
   83  
   84: void Proj4ProjectionAttributes::copy(const Proj4ProjectionAttributes& other)
   85  {
   86  	setting_ = other.setting_;
   ..
  104  
  105  
  106: bool Proj4ProjectionAttributes::accept(const string& node)
  107  {	
  108  	if ( magCompare(node, "None")  )
  ...
  112  }
  113  
  114: void Proj4ProjectionAttributes::set(const XmlNode& node)
  115  {
  116  	if ( this->accept(node.name()) == false ) 
  ...
  128  }
  129  
  130: void Proj4ProjectionAttributes::print(ostream& out)  const
  131  {
  132  	out << "Attributes[";
  ...
  151  }
  152  
  153: void Proj4ProjectionAttributes::toxml(ostream& out)  const
  154  {
  155  	out <<  "\"None\""; 

/Users/sylvie/build/magics/src/params/Proj4ProjectionAttributes.h:
   12   *******************************  LICENSE  *******************************/
   13  
   14: /*! \fileProj4ProjectionAttributes.h
   15:     \brief Definition of Proj4Projection Attributes class.
   16  
   17      This file is automatically generated.
   ..
   22     
   23  
   24: #ifndef Proj4ProjectionAttributes_H
   25: #define Proj4ProjectionAttributes_H
   26  
   27  #include "magics.h"
   ..
   29  
   30  class XmlNode;
   31: class Proj4ProjectionAttributes 
   32  {
   33  public:
   34  //  --  constructor
   35:     Proj4ProjectionAttributes();
   36      
   37  //  --  destructor
   38:     virtual ~Proj4ProjectionAttributes();
   39      
   40      virtual void set(const std::map<std::string, std::string>&);
   41      virtual void set(const XmlNode&);
   42:     virtual void copy(const Proj4ProjectionAttributes&);
   43      virtual bool accept(const std::string&);
   44  
   ..
   70  
   71  private:
   72: 	friend ostream& operator<<(ostream& s,const Proj4ProjectionAttributes& p)
   73  	{ p.print(s); return s; }
   74  };

255 matches across 11 files


Searching 1232 files for "DEG_TO_RAD" (case sensitive)

/Users/sylvie/git/magics/src/common/Matrix.cc:
  169  
  170  /// @brief The usual PI/180 constant
  171: // static const double DEG_TO_RAD = 0.017453292519943295769236907684886;
  172  /// @brief Earth's quatratic mean radius for WGS-84
  173: static const double DEG_TO_RAD = 0.017453292519943295769236907684886;
  174  static const double EARTH_RADIUS_IN_METERS = 6372797.560856;
  175  
  ...
  191   */
  192  double geodistance(double lat1, double lon1, double lat2, double lon2) {
  193:   double latitudeArc = (lat1 - lat2) * DEG_TO_RAD;
  194:   double longitudeArc = (lon1 - lon2) * DEG_TO_RAD;
  195    double latitudeH = sin(latitudeArc * 0.5);
  196    latitudeH *= latitudeH;
  197    double lontitudeH = sin(longitudeArc * 0.5);
  198    lontitudeH *= lontitudeH;
  199:   double tmp = cos(lat1 * DEG_TO_RAD) * cos(lat2 * DEG_TO_RAD);
  200    return EARTH_RADIUS_IN_METERS *
  201           (2.0 * asin(sqrt(latitudeH + tmp * lontitudeH)));

/Users/sylvie/git/magics/src/common/PolarStereographicProjection.cc:
  760  }
  761  
  762: static const double DEG_TO_RAD = 0.0174532925199432957692369076848;
  763  static const double RAD_TO_DEG = 57.295779513082320876798154814105;
  764  
  ...
  768    double y = point.y_;
  769  
  770:   double u = x + (sin(wind.second * DEG_TO_RAD));
  771:   double v = y + (cos(wind.second * DEG_TO_RAD));
  772  
  773    fast_reproject(x, y);

/Users/sylvie/git/magics/src/common/Proj4Projection.cc:
 1064    double y = point.y_;
 1065  
 1066:   double u = x + (sin(wind.second * DEG_TO_RAD));
 1067:   double v = y + (cos(wind.second * DEG_TO_RAD));
 1068  
 1069    fast_reproject(x, y);

/Users/sylvie/git/magics/src/decoders/GribRegularInterpretor.cc:
   57  
   58  /// @brief The usual PI/180 constant
   59: // static const double DEG_TO_RAD = 0.017453292519943295769236907684886;
   60  /// @brief Earth's quatratic mean radius for WGS-84
   61  static const double EARTH_RADIUS_IN_METERS = 6372797.560856;
   ..
   77   */
   78  double distance(double lat1, double lon1, double lat2, double lon2) {
   79:     double latitudeArc  = (lat1 - lat2) * DEG_TO_RAD;
   80:     double longitudeArc = (lon1 - lon2) * DEG_TO_RAD;
   81      double latitudeH    = sin(latitudeArc * 0.5);
   82      latitudeH *= latitudeH;
   83      double lontitudeH = sin(longitudeArc * 0.5);
   84      lontitudeH *= lontitudeH;
   85:     double tmp = cos(lat1 * DEG_TO_RAD) * cos(lat2 * DEG_TO_RAD);
   86      return EARTH_RADIUS_IN_METERS * (2.0 * asin(sqrt(latitudeH + tmp * lontitudeH)));
   87  }

16 matches across 4 files


Searching 1232 files for "pj_init" (case sensitive)

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.cc:
  318                  string proj4(line + 12);
  319  
  320:                 proj4_  = pj_init_plus(line + 11);
  321:                 latlon_ = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  322              }
  323              if (strncmp(line, "#FORMAT ", 8) == 0) {

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.cc:
  171  
  172      if (!proj4.empty()) {
  173:         proj4_  = pj_init_plus(proj4.c_str());
  174:         latlon_ = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  175      }
  176      // get the data ...

4 matches across 2 files


Searching 1232 files for "pj_init" (case sensitive)

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.cc:
  318                  string proj4(line + 12);
  319  
  320:                 proj4_  = pj_init_plus(line + 11);
  321:                 latlon_ = pj_init_plus("+proj=longlat +ellps=WGS84 +datum=WGS84");
  322              }
  323              if (strncmp(line, "#FORMAT ", 8) == 0) {

2 matches in 1 file


Searching 1232 files for "pj_c" (case sensitive)

0 matches

Searching 1232 files for "pj_t" (case sensitive)

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.cc:
   86    if (lat != missing_ && lon != missing_) {
   87      if (useProj4_) {
   88:       int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
   89        lon *= RAD_TO_DEG;
   90        lat *= RAD_TO_DEG;
   ..
  103    if (lat != missing_ && lon != missing_) {
  104      if (useProj4_) {
  105:       int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  106        lon *= RAD_TO_DEG;
  107        lat *= RAD_TO_DEG;
  ...
  120    if (lat != missing_ && lon != missing_) {
  121      if (useProj4_) {
  122:       int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  123        lon *= RAD_TO_DEG;
  124        lat *= RAD_TO_DEG;
  ...
  140    if (lat != missing_ && lon != missing_) {
  141      if (useProj4_) {
  142:       int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  143        lon *= RAD_TO_DEG;
  144        lat *= RAD_TO_DEG;
  ...
  165    if (lat != missing_ && lon != missing_) {
  166      if (useProj4_) {
  167:       int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  168        lon *= RAD_TO_DEG;
  169        lat *= RAD_TO_DEG;
  ...
  180    if (lat != missing_ && lon != missing_) {
  181      if (useProj4_) {
  182:       int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  183        lon *= RAD_TO_DEG;
  184        lat *= RAD_TO_DEG;
  ...
  221  
  222      if (useProj4_) {
  223:       int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  224        lon *= RAD_TO_DEG;
  225        lat *= RAD_TO_DEG;

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.cc:
  139  
  140    if (!proj4.empty()) {
  141:     int error = pj_transform(proj4_, latlon_, 1, 1, &x, &y, NULL);
  142      return new UserPoint(x * RAD_TO_DEG, y * RAD_TO_DEG, val);
  143    } else {

8 matches across 2 files


Searching 1232 files for "pj_t" (case sensitive)

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.cc:
  209  
  210      if (useProj4_) {
  211:       int error = pj_transform(proj4_, latlon_, 1, 1, &lon, &lat, NULL);
  212        lon *= RAD_TO_DEG;
  213        lat *= RAD_TO_DEG;

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.cc:
  139  
  140    if (!proj4.empty()) {
  141:     int error = pj_transform(proj4_, latlon_, 1, 1, &x, &y, NULL);
  142      return new UserPoint(x * RAD_TO_DEG, y * RAD_TO_DEG, val);
  143    } else {

2 matches across 2 files


Searching 1232 files for "pj_t" (case sensitive)

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.cc:
  139  
  140    if (!proj4.empty()) {
  141:     int error = pj_transform(proj4_, latlon_, 1, 1, &x, &y, NULL);
  142      return new UserPoint(x * RAD_TO_DEG, y * RAD_TO_DEG, val);
  143    } else {

1 match in 1 file


Searching 147 files for "Proj4P" (case sensitive)

/Users/sylvie/git/magics/src/common/CMakeLists.txt:
   77  	GeoRectangularProjection.cc  PolarStereographicProjection.cc TaylorProjection.cc
   78  	GeoRectangularProjection.h   PolarStereographicProjection.h TaylorProjection.h
   79: 	Proj4Projection.cc  Proj4Projection.h Proj4P.cc Proj4P.h
   80  
   81  # unused
   ..
  144  				common/ColourTableDefinition.h
  145  				common/PointsHandler.h
  146: 				common/ProjP.h
  147  				)
  148  

/Users/sylvie/git/magics/src/params/CMakeLists.txt:
  134  PreviewVisitor.xml
  135  Proj4Bonne.xml
  136: Proj4PolarSouth.xml
  137  Proj4Mercator.xml
  138  Proj4Collignon.xml
  ...
  147  Proj4Lambert.xml
  148  Proj4Mollweide.xml
  149: Proj4PolarNorth.xml
  150: Proj4Projection.xml
  151  Proj4Robinson.xml
  152  Proj4Google.xml

/Users/sylvie/build/magics/CMakeFiles/CMakeRuleHashes.txt:
  245  bd32d9061e9d14f3c40e88e3bdbae8e4 src/params/Proj4Meteosat57Attributes.h
  246  156ac0d37716173e7e9ac95c4ba20120 src/params/Proj4MollweideAttributes.h
  247: 97b290a26048d0a3ba57b5ea3d0df572 src/params/Proj4PolarNorthAttributes.h
  248: 54c1c4fb2a6405e937e617da991b92f6 src/params/Proj4PolarSouthAttributes.h
  249: d8b382526758cf189cc5158926292a68 src/params/Proj4ProjectionAttributes.h
  250  fe7b500cb86d961ca6642c8f3ff2a51d src/params/Proj4RobinsonAttributes.h
  251  d6011c40685e8081c71276f887b39547 src/params/Proj4TPersAttributes.h

/Users/sylvie/build/magics/src/CMakeFiles/magics_params.dir/cmake_clean.cmake:
  265    "params/Proj4BonneAttributes.h"
  266    "params/Proj4BonneAttributes.cc"
  267:   "params/Proj4PolarSouthAttributes.h"
  268:   "params/Proj4PolarSouthAttributes.cc"
  269    "params/Proj4MercatorAttributes.h"
  270    "params/Proj4MercatorAttributes.cc"
  ...
  291    "params/Proj4MollweideAttributes.h"
  292    "params/Proj4MollweideAttributes.cc"
  293:   "params/Proj4PolarNorthAttributes.h"
  294:   "params/Proj4PolarNorthAttributes.cc"
  295:   "params/Proj4ProjectionAttributes.h"
  296:   "params/Proj4ProjectionAttributes.cc"
  297    "params/Proj4RobinsonAttributes.h"
  298    "params/Proj4RobinsonAttributes.cc"

/Users/sylvie/build/magics/src/CMakeFiles/MagPlus.dir/cmake_clean.cmake:
  264    "params/Proj4BonneAttributes.h"
  265    "params/Proj4BonneAttributes.cc"
  266:   "params/Proj4PolarSouthAttributes.h"
  267:   "params/Proj4PolarSouthAttributes.cc"
  268    "params/Proj4MercatorAttributes.h"
  269    "params/Proj4MercatorAttributes.cc"
  ...
  290    "params/Proj4MollweideAttributes.h"
  291    "params/Proj4MollweideAttributes.cc"
  292:   "params/Proj4PolarNorthAttributes.h"
  293:   "params/Proj4PolarNorthAttributes.cc"
  294:   "params/Proj4ProjectionAttributes.h"
  295:   "params/Proj4ProjectionAttributes.cc"
  296    "params/Proj4RobinsonAttributes.h"
  297    "params/Proj4RobinsonAttributes.cc"
  ...
  672    "CMakeFiles/MagPlus.dir/params/PreviewVisitorAttributes.cc.o"
  673    "CMakeFiles/MagPlus.dir/params/Proj4BonneAttributes.cc.o"
  674:   "CMakeFiles/MagPlus.dir/params/Proj4PolarSouthAttributes.cc.o"
  675    "CMakeFiles/MagPlus.dir/params/Proj4MercatorAttributes.cc.o"
  676    "CMakeFiles/MagPlus.dir/params/Proj4CollignonAttributes.cc.o"
  ...
  685    "CMakeFiles/MagPlus.dir/params/Proj4LambertAttributes.cc.o"
  686    "CMakeFiles/MagPlus.dir/params/Proj4MollweideAttributes.cc.o"
  687:   "CMakeFiles/MagPlus.dir/params/Proj4PolarNorthAttributes.cc.o"
  688:   "CMakeFiles/MagPlus.dir/params/Proj4ProjectionAttributes.cc.o"
  689    "CMakeFiles/MagPlus.dir/params/Proj4RobinsonAttributes.cc.o"
  690    "CMakeFiles/MagPlus.dir/params/Proj4GoogleAttributes.cc.o"
  ...
  869    "CMakeFiles/MagPlus.dir/common/PolarStereographicProjection.cc.o"
  870    "CMakeFiles/MagPlus.dir/common/TaylorProjection.cc.o"
  871:   "CMakeFiles/MagPlus.dir/common/Proj4Projection.cc.o"
  872:   "CMakeFiles/MagPlus.dir/common/Proj4P.cc.o"
  873    "CMakeFiles/MagPlus.dir/basic/BasicGraphicsObject.cc.o"
  874    "CMakeFiles/MagPlus.dir/basic/BasicSceneObject.cc.o"

28 matches across 5 files


Searching 1234 files for "ProjP" (case sensitive)

/Users/sylvie/git/magics/src/common/Matrix.cc:
  569    double x = column;
  570    double y = row;
  571:   int error = ProjP::convert(latlon_, proj4_, x, y);
  572    if (error) return missing();
  573  
  ...
  579    double x = column;
  580    double y = row;
  581:   int error = ProjP::convert(latlon_, proj4_, x, y);
  582    if (error) return missing();
  583  
  ...
  634    double row = MatrixHandler::row(i, j);
  635  
  636:   int error = ProjP::convert(proj4_, latlon_, column, row);
  637    if (error) return missing();
  638    return column;
  ...
  643    double row = MatrixHandler::row(i, j);
  644  
  645:   int error = ProjP::convert(proj4_, latlon_, column, row);
  646    if (error) return missing();
  647    return row;

/Users/sylvie/git/magics/src/common/MatrixHandler.h:
   23  #define MatrixHandler_H
   24  
   25: #include <ProjP.h>
   26  
   27  #include "AutoVector.h"
   ..
  509    double maxy_;
  510  
  511:   ProjP proj4_;
  512:   ProjP latlon_;
  513  };
  514  

/Users/sylvie/git/magics/src/common/Proj4P.cc:
    9   */
   10  
   11: //! \file ProjP.cc
   12  /*!
   13   Sylvie Lamy-Thepaut - ECMWF Apr 02
   ..
   17     Apr 06: update for GCC 4.0 (Stephan)
   18  */
   19: #include <ProjP.h>
   20  
   21  using namespace magics;
   22  
   23: ProjP::ProjP() : proj4_(0) {}
   24: ProjP::ProjP(const string&) : proj4_(0) {}
   25  
   26: ProjP::~ProjP() {
   27    if (proj4_) proj_destroy(proj4_);
   28  }
   29  
   30: int ProjP::convert(const ProjP& from, const ProjP& to, double& x, double& y) {
   31    return -1;
   32  }
   33  
   34: void ProjP::print(ostream&) const {}

/Users/sylvie/git/magics/src/common/Proj4P.h:
    9   */
   10  
   11: #ifndef ProjP_H
   12: #define ProjP_H
   13  
   14  #include <proj.h>
   ..
   18  namespace magics {
   19  
   20: class ProjP {
   21   public:
   22:   ProjP();
   23:   ProjP(const string&);
   24:   ~ProjP();
   25  
   26    bool valid() const { return proj4_ != 0; }
   ..
   28    static string error(int error) { return proj_errno_string(error); }
   29  
   30:   static int convert(const ProjP&, const ProjP&, double&, double&);
   31  
   32   protected:
   ..
   38   private:
   39    //! Copy constructor - No copy allowed
   40:   ProjP(const ProjP&);
   41  
   42    // -- Friends
   43    //! Overloaded << operator to call print().
   44:   friend ostream& operator<<(ostream& s, const ProjP& p) {
   45      p.print(s);
   46      return s;

/Users/sylvie/git/magics/src/common/Proj4Projection.cc:
  253    MagLog::dev() << "Proj4Projection::init()" << *this << endl;
  254  
  255:   from_ = ProjP("+proj=longlat +ellps=WGS84 +datum=WGS84");
  256    projection_ = Epsg::find(*this);
  257:   to_ = ProjP(projection_->definition());
  258  
  259    if (!to_.valid()) {
  ...
  364  PaperPoint Proj4Projection::operator()(const UserPoint& point) const {
  365    if (!from_.valid()) {
  366:     from_ = ProjP("+proj=longlat +ellps=WGS84 +datum=WGS84");
  367      projection_ = Epsg::find(*this);
  368:     to_ = ProjP(projection_->definition());
  369    }
  370    double x = point.x();
  371    double y = point.y();
  372  
  373:   int error = ProjP::convert(from_, to_, x, y);
  374    if (error) {
  375:     MagLog::debug() << "Error " << ProjP::error(error) << "for " << point
  376                      << endl;
  377      //		NON Valeurs trop faibles en EPSG:3857 par exemple !  -->
  ...
  431    double y = xy.y();
  432  
  433:   int error = ProjP::convert(to_, from_, x, y);
  434  
  435    if (error) {
  436:     MagLog::debug() << ProjP::error(error) << endl;
  437      point = UserPoint(HUGE_VAL, HUGE_VAL);
  438      return;
  ...
  456    double x = lon;
  457    double y = lat;
  458:   int error = ProjP::convert(from_, to_, x, y);
  459    if (error) return;
  460    userEnveloppe_->push_back(PaperPoint(lon, lat));
  ...
  520    max_pcx_ = max_longitude_;
  521    max_pcy_ = max_latitude_;
  522:   int error = ProjP::convert(to_, from_, min_longitude_, min_latitude_);
  523    assert(!error);
  524:   error = ProjP::convert(to_, from_, max_longitude_, max_latitude_);
  525    assert(!error);
  526  
  ...
  563        double x = lon;
  564        double y = lat;
  565:       int error = ProjP::convert(from_, to_, x, y);
  566  
  567        if (!error) {
  ...
  638        double x = lon;
  639        double y = lat;
  640:       int error = ProjP::convert(from_, to_, x, y);
  641        if (error) {
  642          // we reach a border!
  ...
  656        double x = lon;
  657        double y = lat;
  658:       int error = ProjP::convert(from_, to_, x, y);
  659        if (error) {
  660          // we reach a border!
  ...
  674        double x = lon;
  675        double y = lat;
  676:       int error = ProjP::convert(from_, to_, x, y);
  677        if (error) {
  678          // we reach a border!
  ...
  692        double x = lon;
  693        double y = lat;
  694:       int error = ProjP::convert(from_, to_, x, y);
  695        if (error) {
  696          // we reach a border!
  ...
  711                                   double& ymax) const {
  712    if (from_.valid()) {
  713:     from_ = ProjP("+proj=longlat +ellps=WGS84 +datum=WGS84");
  714  
  715      projection_ = Epsg::find(definition_);
  716:     to_ = ProjP(projection_->definition());
  717    }
  718  
  ...
 1090      }
 1091  
 1092:     int error = ProjP::convert(to_, from_, x, y);
 1093  
 1094      if (error) {
 1095:       MagLog::error() << ProjP::error(error) << " for " << pt->first << " "
 1096                        << pt->second << endl;
 1097        out.push_back(make_pair(HUGE_VAL, HUGE_VAL));
 ....
 1186    }
 1187  
 1188:   int error = ProjP::convert(from_, to_, x, y);
 1189  
 1190    if (error) {
 ....
 1297    double x = minx;
 1298    double y = miny;
 1299:   int error = ProjP::convert(to_, from_, x, y);
 1300  
 1301    gridMinLon_ = x;
 ....
 1304    x = maxx;
 1305    y = maxy;
 1306:   error = ProjP::convert(to_, from_, x, y);
 1307  
 1308    gridMaxLon_ = x;

/Users/sylvie/git/magics/src/common/Proj4Projection.h:
   29  #endif
   30  
   31: #include <ProjP.h>
   32  
   33  namespace magics {
   ..
  238  
  239    virtual void print(ostream&) const;
  240:   mutable ProjP from_;
  241:   mutable ProjP to_;
  242    double min_pcx_;
  243    double max_pcx_;
  ...
  269  };
  270  
  271: class ProjPolarNorth : public Proj4Projection {
  272   public:
  273:   ProjPolarNorth() : Proj4Projection("polar_north") {}
  274  };
  275  
  276: class ProjPolarSouth : public Proj4Projection {
  277   public:
  278:   ProjPolarSouth() : Proj4Projection("polar_south") {}
  279  };
  280  

/Users/sylvie/git/magics/src/common/ProjP.cc:
    9   */
   10  
   11: //! \file ProjP.cc
   12  /*!
   13   Sylvie Lamy-Thepaut - ECMWF Apr 02
   ..
   17     Apr 06: update for GCC 4.0 (Stephan)
   18  */
   19: #include <ProjP.h>
   20  
   21  using namespace magics;
   22  
   23: ProjP::ProjP() : proj4_(0) {}
   24: ProjP::ProjP(const string&) : proj4_(0) {}
   25  
   26: ProjP::~ProjP() {
   27    if (proj4_) proj_destroy(proj4_);
   28  }
   29  
   30: int ProjP::convert(const ProjP& from, const ProjP& to, double& x, double& y) {
   31    return -1;
   32  }
   33  
   34: void ProjP::print(ostream&) const {}

/Users/sylvie/git/magics/src/common/ProjP.h:
    9   */
   10  
   11: #ifndef ProjP_H
   12: #define ProjP_H
   13  
   14  #include <proj.h>
   ..
   18  namespace magics {
   19  
   20: class ProjP {
   21   public:
   22:   ProjP();
   23:   ProjP(const string&);
   24:   ~ProjP();
   25  
   26    bool valid() const { return proj4_.size(); }
   ..
   28    static string error(int error) { return proj_errno_string(error); }
   29  
   30:   static int convert(const ProjP&, const ProjP&, double&, double&);
   31  
   32   protected:
   ..
   38   private:
   39    //! Copy constructor - No copy allowed
   40:   ProjP(const ProjP&);
   41  
   42    // -- Friends
   43    //! Overloaded << operator to call print().
   44:   friend ostream& operator<<(ostream& s, const ProjP& p) {
   45      p.print(s);
   46      return s;

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.cc:
   86    if (lat != missing_ && lon != missing_) {
   87      if (useProj4_) {
   88:       int error = ProjP::convert(proj4_, latlon_, lon, lat);
   89      }
   90      UserPoint geo(lon, lat, value, value == missing_);
   ..
  101    if (lat != missing_ && lon != missing_) {
  102      if (useProj4_) {
  103:       int error = ProjP::convert(proj4_, latlon_, lon, lat);
  104      }
  105      UserPoint geo(lon, lat, value, value == missing_);
  ...
  116    if (lat != missing_ && lon != missing_) {
  117      if (useProj4_) {
  118:       int error = ProjP::convert(proj4_, latlon_, lon, lat);
  119      }
  120      CustomisedPoint geo(lon, lat, "lluv");
  ...
  134    if (lat != missing_ && lon != missing_) {
  135      if (useProj4_) {
  136:       int error = ProjP::convert(proj4_, latlon_, lon, lat);
  137      }
  138      CustomisedPoint geo(lon, lat, "polar");
  ...
  157    if (lat != missing_ && lon != missing_) {
  158      if (useProj4_) {
  159:       int error = ProjP::convert(proj4_, latlon_, lon, lat);
  160      }
  161      push_back(new UserPoint(lon, lat, value, value == missing_));
  ...
  170    if (lat != missing_ && lon != missing_) {
  171      if (useProj4_) {
  172:       int error = ProjP::convert(proj4_, latlon_, lon, lat);
  173      }
  174      push_back(new UserPoint(lat, lon, value, value == missing_));
  ...
  209  
  210      if (useProj4_) {
  211:       int error = ProjP::convert(proj4_, latlon_, lon, lat);
  212      }
  213      UserPoint geo(lon, lat, value, value == missing_);
  ...
  312          string proj4(line + 12);
  313  
  314:         proj4_ = ProjP(line + 11);
  315:         latlon_ = ProjP("+proj=longlat +ellps=WGS84 +datum=WGS84");
  316        }
  317        if (strncmp(line, "#FORMAT ", 8) == 0) {

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.h:
   29  #endif
   30  
   31: #include <ProjP.h>
   32  
   33  #include "Data.h"
   ..
  112    vector<CustomisedPoint*> customisedPoints_;
  113    vector<eGeoColType> colTypes_;  // used only for NCOLS formatted geopoints
  114:   ProjP proj4_;
  115:   ProjP latlon_;
  116    bool useProj4_;
  117    size_t ncoordcols_;

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.cc:
  138    double y = lat;
  139  
  140:   if (!proj4.empty()) int error = ProjP::convert(proj4_, latlon_, x, y);
  141    return new UserPoint(x, y, val);
  142  }
  ...
  159  
  160    if (!proj4.empty()) {
  161:     proj4_ = ProjP(proj4);
  162:     latlon_ = ProjP("+proj=longlat +ellps=WGS84 +datum=WGS84");
  163    }
  164    // get the data ...

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.h:
   29  #endif
   30  
   31: #include <ProjP.h>
   32  
   33  #include "Matrix.h"
   ..
   76    virtual void print(ostream&) const;
   77    Matrix* matrix_;
   78:   ProjP proj4_;
   79:   ProjP latlon_;
   80  
   81   private:

101 matches across 12 files


Searching 1232 files for "projP.h" (case sensitive)

0 matches

Searching 1232 files for "ProjP.h" (case sensitive)

/Users/sylvie/git/magics/src/common/MatrixHandler.h:
  489  
  490  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
  491: #include <ProjP.h>
  492  
  493  class Proj4MatrixHandler : public MatrixHandler {

/Users/sylvie/git/magics/src/common/Proj4Projection.h:
   30  
   31  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   32: #include <ProjP.h>
   33  
   34  namespace magics {

/Users/sylvie/git/magics/src/common/ProjP.cc:
   17     Apr 06: update for GCC 4.0 (Stephan)
   18  */
   19: #include <ProjP.h>
   20  
   21  using namespace magics;

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.h:
   31  
   32  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   33: #include <ProjP.h>
   34  #include "Data.h"
   35  #include "GeoPointsDecoderAttributes.h"

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.h:
   29  #endif
   30  
   31: #include <ProjP.h>
   32  
   33  #include "Matrix.h"

5 matches across 5 files


Searching 1232 files for "ProjP.h" (case sensitive)

/Users/sylvie/git/magics/src/common/MatrixHandler.h:
  489  #endif
  490  
  491: #include <ProjP.h>
  492  
  493  class Proj4MatrixHandler : public MatrixHandler {

/Users/sylvie/git/magics/src/common/Proj4Projection.h:
   30  
   31  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   32: #include <ProjP.h>
   33  
   34  namespace magics {

/Users/sylvie/git/magics/src/common/ProjP.cc:
   17     Apr 06: update for GCC 4.0 (Stephan)
   18  */
   19: #include <ProjP.h>
   20  
   21  using namespace magics;

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.h:
   31  
   32  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   33: #include <ProjP.h>
   34  #include "Data.h"
   35  #include "GeoPointsDecoderAttributes.h"

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.h:
   29  #endif
   30  
   31: #include <ProjP.h>
   32  
   33  #include "Matrix.h"

5 matches across 5 files


Searching 1232 files for "ProjP.h" (case sensitive)

/Users/sylvie/git/magics/src/common/MatrixHandler.h:
  489  #endif
  490  
  491: #include <ProjP.h>
  492  
  493  class Proj4MatrixHandler : public MatrixHandler {

/Users/sylvie/git/magics/src/common/Proj4Projection.h:
   29  #endif
   30  
   31: #include <ProjP.h>
   32  
   33  namespace magics {

/Users/sylvie/git/magics/src/common/ProjP.cc:
   17     Apr 06: update for GCC 4.0 (Stephan)
   18  */
   19: #include <ProjP.h>
   20  
   21  using namespace magics;

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.h:
   31  
   32  #define ACCEPT_USE_OF_DEPRECATED_PROJ_API_H 1
   33: #include <ProjP.h>
   34  #include "Data.h"
   35  #include "GeoPointsDecoderAttributes.h"

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.h:
   29  #endif
   30  
   31: #include <ProjP.h>
   32  
   33  #include "Matrix.h"

5 matches across 5 files


Searching 1232 files for "ProjP.h" (case sensitive)

/Users/sylvie/git/magics/src/common/MatrixHandler.h:
  489  #endif
  490  
  491: #include <ProjP.h>
  492  
  493  class Proj4MatrixHandler : public MatrixHandler {

/Users/sylvie/git/magics/src/common/Proj4Projection.h:
   29  #endif
   30  
   31: #include <ProjP.h>
   32  
   33  namespace magics {

/Users/sylvie/git/magics/src/common/ProjP.cc:
   17     Apr 06: update for GCC 4.0 (Stephan)
   18  */
   19: #include <ProjP.h>
   20  
   21  using namespace magics;

/Users/sylvie/git/magics/src/decoders/GeoPointsDecoder.h:
   29  #endif
   30  
   31: #include <ProjP.h>
   32  
   33  #include "Data.h"

/Users/sylvie/git/magics/src/decoders/NetcdfGeoMatrixInterpretor.h:
   29  #endif
   30  
   31: #include <ProjP.h>
   32  
   33  #include "Matrix.h"

5 matches across 5 files
